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",yr="data:image/png;base64,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",Fn="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMIAAADACAYAAABWKbw6AAAAAXNSR0IArs4c6QAAIABJREFUeF7svXmUZcd5H/ZV3eVtvS8z07M2ZgEGA2InCHEHSUjgAlKUKUiiaWpx4uREjuXkD/kkis8xlRPnWI5jW4lPLMcyQ8XUEkKiJGqhJG4gKQIgQJAECA6xDAYzmKVneu9+612qKvzVrXpdfee+7tcLQHC55KDfu+/u9/vV9/2+rRj9aNnpE2A7PcAO91c73P9HuxPR9/olvlpfwg/YcwFW2I8As4G0/YC98C3h6ofo3jUQNns4P9RA2fTpbPb0vo9//yG69x8BYTM5/UEXBkZkB7of9Fvd6FUXDfb9Po8fDrOq36exGaBeDb9/j+7lI9+j8+KR/zN1rcnjCr29tB0Doej9/kCZUt/Dl7gj7LxMI/33Uqh39Dz63Pmfme12kzivA973LTi+X4CwS9f5gy7ofeJhw80+slvCvFvH2Y2b2vQYuyRgm55npxts5To32PYjO72OHexvR+OtHOLXt7LxLm276TPqV8D73W6Xrntnh9mKgO3sTFvfe5vX9mod9U9t435Ov8qESYNku9e03f22Ljnb2GMbL2cbZ+lvl21cyysp9NsR5P5u/OXZ6pUC0bZNqVcVMLYhfLv+2vq8Bjy3X+9z2+1e4/ebsG/3Pl9ukBSBo6fn6lUBiJdZsApf1AbnvOaZvFzX93Idd7uS+WrZ7+USSue4mz76l+saNnzGm17VLr0hc54iH7d7BvVyXM/LccxdeizfF4fZRcEE+e+lLdzX9MoH8V4pIfkREL4vZL7wIn8EhF14d5sB7bu/u+66vItxq+7DHxYbfxfezI4OsZscoy+yvYtgLL7xzQR1u49rk+P28vZsFQivBsF/wDyjB7f7rL7P99stUBS5ZvPyv5sR8fWPfTeBsAkJ3i2Pzyst/BD0jYRcAyF37w9tItxfzP3ubn8PEb21T3Dc40jKptf4CgF214CxkRbYdQ2xW0DocZzd8PO/0oLvyuAkI4JgbiTY+N0ueYG+Vp5PPXCa/9g7T5W++uVvn2xF9VvLlcZ7/vEvvrVxYjr4zzVGL770DM0++BVqP/iRh2R27qJj23Wb/Y7t5hSR1Vr4/kpqLpzrph0KbVFiYfeh7PDYa093p0Dosb+9vp1ogW+bY7svsc+Bcsub9TyHuQYIeD8C3xsID3yE+MEV8h6dOX9ysXXppk7amU5ZOlWtpje9/s4DkUqajx++bt/8TaeOXhit0BMLLy4u/u6nx6JP/58kegOxHyC4WsN9MK8EINxzbBcQAIJdeorrjgHxMgHh1awJThfcM0wRV6i2jKTiHe58gk3ffKc3Hj4x0F7yDsbthYrPqm9sNpqvF6ozrDyR+oEi5rVpcCBgN910WJ664cBMs73wmf3Dh2cO7K1cDKLS/JNfPNf5xCcel6dPT+a0xE6us8gRcWrHAtX7inbDZOpJrHd83dsBwgb77AQAr5QJBCAU2eC7CAQAYHDcm5xsjchRf6TRiG5I2ssPrMxfnZRtQb70iIH3eUTMk0ShR15FkOen5PuChgdC9o63vJ7dcWroC6TCx1LyX+qk8eIjv/NE47HH9sjTp0/JnUAg27fI3IMZ9Uot2wXGhl6mbV//VoGwy1wAXqIHt3oNW3xTsPPdZUcCz4ie2Pj8p86yB/7hA2H7DA2/cOEb/3VjdfGWqLFaFXGqeEpEaWCYtSAiSYIS8soBUSCIAkl+yMkPGXklj5gn6K0/dpd/2837ztx6c/VvF+boC5e+Rauf/O2PxQ89dDMOULDcuW1h+N6AY7uAwK3vnobYihDmt83FALYiny/n6J8XfFzXVoT/CXOfd+ZuqDcATj1wJ7vpHgoXlmbGF19afd3ylZkPtVYXSHZEIKPEU4lggRcSCZ9IBcQEEcdZuCLJBEkmSQREHpPEfCIKiSjw9N9aRVBQUrJa9cWhA3vT/+pDb54ZrtEfiJSe/eLjc41PPDgZn37wiQ2EH/fhXnu/QCnSGPB2vVzm0wPfrbbbatzIvqJCQGxpQNgMCLusAV4OAOSJ7kMF19wLCFboC0fWTYBwlh3/R7ezN40fZ+fPX7n74tKlW1qNhRsT0alRLKZYKpRKFFFCpJQkRpxIMWLkE+96W/GuBAmmSHn4LDNHrM+JBUTKT8gPiPwSUVDyWbVWUfv3Dsacq6v3v+u2+enDo08IRt+QF2j+T3/nXOdjH3tcEh3NCYAL6CIw9wJGL09Zvy7brQyM+W23oyV6kuq+ALEdIGxTE+y2GWRJb79EdyOh7/+lYfRv1c7xmudXSay+bmH23FTNqxzvtNqHk6izjxIByWaUKqKUEWNEnBMJWPWoMDbpVFyfEv81QMBX+za4JBZwIi/RWsHDR2gI36egxKk26NMttxyIfI/Od9rJ+R9/491L1++LH1u9Es18/lMrzYsXD4oHN9QSm91vv1rDHcF3U1P0qx0Ki53yddw7BsIuagO4QnfbDeqaQP2YPjsFQoXR8ZDddXs8mgasFEXxWBTGv1CfnzlJUcRVKhTFgjh5xJVHIoIJ75EPKWY+CSVJCbEm61oW8YgVSVL6v9li3iNMJQCIS02qySdiQUge+EMZGsKjkk80NFClD9z/ps5kqfnHwhs4rXjlcn2OWk/95UOtjz02J+l0XkNsCgJzEZtth9+t1ng5TKZ+tEIvILjX3hXjDQHRSyPsEgh20xQCkFyzZzPhzwt+3ua3D8uaC/b3vPnwMKfp97Lb31sepNZStTXf/Acijm+o1xdHlEqllybElCQhBSmZPWsYQCQhvfhXXNMFXWAfstCkwZhGzjsEPLqLz8gLoB6IpC/I8zzyYDYFjJgP7dOid7/zvZVbbi397cQ4f2ZxIX5YLLDlz37+6eaD/+ZrkugNjqep170WPSM8j340hGtK7ab3aatBOQ0O8+CuEeOeYCgS+Nw67LudwNhugWArI/9mo36/BHhWWy4/8eE7/PFjeysvLSwef/HCt36t1ZivekmqPKmkLxh5MZ640KZ9sT/TintmCF27GHupx952ew0RDhOLk2Qs4xNaSzD91ws4laoBcV+RFDGNjgx4b379zepn33X4q40W/cG579CVzz4x13nwEw/FG2uIzQYLe0UbAWNdUFHtXiS7Hw2Rf8L9k2gr9K8yDZD39W919O9HrXdfqnPvp2n6F0/xu04ulVYui+Mzly69pdFZubMV1YM4bQ4zyRgTCeNKqQAmUJo5QIVQxBn0wGaUayvXtbatHsY4zgUdwQyhVpnrSZPr7F/oe+SXfPJ9j1WqJTUQUjwyNNn84Idvnh8dLT1WSumR5ks095u/81DnoY/N5Yh1L1Kd9zq597CZpng5tMRWAdGfixWP8VUEAssj8p6fPBA2G/k3E7g71wn/PfdU+eD1JV6fjcKVUX7vQuvcm9JGvSo76QhXyQgjRXGSaJqrYi2KFIY+kQaCIpJF+qAvjuZc6OYgynxMmds10/8Z0Q5KgYaINpd8Rox75Icl+GMpqHjswP5q4pFY2TNRW/zp99y9MurRHy+dbrz02afardMPNdOHHmqZG2gXXHS/WhRXlAdGXjtgm91I7dgqGDbPV3qVAMH1AOFh7bYGOOtI2RVG9K5MAKeP6/W33HFmgpcrEyvNq4Olmv+OemfuDUljlShJJJMpg8MmhisUEEgzIAS+RyRYBgSVydF6A2h3gaDPIDX2iLSrFW5Zoc/vhwCCJOZpqk7c84kHhm2HkvySpDBgdGj/sPqJN9/SWrq6/KnxfUcuTI7Iy83VeOHhj59tfvnLi+LcOWgJdwHR3gkQ8gMSgOFm3m7X0/SKAWGrqRI75QP9Rn/71QSV73qpvu28hdsdIBwnmj7H9o8v8ENv2Dd26cpL5aFw+C0qlT++2lialElDUNohAZFT8PLA2yO1SQ6fkJFAYlIRV2uiDzep9pN2l61mQfTiEfaA2S2swQuBOPd7dj5f20keKZhqJaW9TAoXr51XHgUep8Dz1f3vfbM/fZAeHqj4j7cWq2da9asLz//Vxcbf/M24PHcOvt/jxr6/yVyAK7SbRNd7kut8bGKnpHqrgOhtJhVohH5BsBtxAZcLbCfolR9x7HeYPmdytsZFRncO8rE9w/4tx2mo3QiHluKlX60356ZEEnMhYkVpSn6itNAr5ABZ0UsR6HJGeEUkFLM+Ib2VPln/TorchW9sFmVndv1M13qY1uCSBe5wvcKTGQgQlQNIPZ/80CPuC+JeovOa7rjppHf7a052bjlGf37pcvpI3KktfPNb8yvf+VonfeTBM4oI5tIJIvqGujZY1+v5d99DD7W429xhK4AoBgPGFOct5L1Drp92XfBkc4N2w2fUjwbod/THibT6LhB+rH6eaLrC3vczrwmu1oPrm+3GqWbz6oeSaKUj4nZJUMLBAUgIbf/Dd68P5tyh0laR0FjAz715wWaCsb3fM7HnZBUQ66lsGHl6I2wgKLXgRcABV87BHzKvrlfNtEm5FFAJ8QnOk5MnT/l/5/37zwwPeH8iYjr3nb9cmvut338yonPn6Ny5vQYQ0BSnKQPIVpYiYu0CYqexiJ2BwQLBvPZ8rkcREHbTDCrSAlsBAEygU87bMFpg+iKj6WmiwQV+z1vvrC5eXbpxbvHSh5LW6piK2yFFnZonEkUqVSxeG0s9zknJa3PZBAZTnf2gDBC0r2grUrDjbde0Qq9Dedpr5SlcFwg8UQqNoBQxBsnHP8dd63OiEgIRoQ74IQN2cLjKh4dYsn9yODq8b7D57rcdebbcjP90cT6c/doX5ptf1lpiVaw9860CYrN0DqRv7IRMF0WkIcNFOUw2JSMT/S0CYbsRYjeqvFlQrB8ggPzCdu2CwAD5DBFdZHTwODv4lsmDlUGa7sjZY0LU94qo8VoZ1UtSJEqlEfnIeZCC9OiKkR55QIxrAmoX2OBYDE12LPTMkdnf0o/y7OdYmoRscMqMMPg6qGdi1V4WtyYAQWsEvHBz7bhxeJYCX4NBlQMqVUsUln0aHx3k48Mlcf3hgflofvVb737T0ZUwCR5eOjt79df+8V+uXKsdcFngZJtFsfsBgr3F7QIiH4DrBYT1JpIBQr8Bs+1og35jAv0AAA/pYU50nDK71S74bpdzjN5b4icmajeTz1/XkXPvjeJFoqRNKmkrmabEZayjwUzA4HDMfwmDwhFKmNs9Ra8fjWAiy5sipp9j4SCbH28NdlmKhw74Oft5MJcYOA6AEBKFnAgR60qZvEqN/HKF/IBT6HMaqSh2/URAD7z92OJEiX8satAzv/Suh66cO2d5g72x54noyHdLQvsBg92nH1MJ227Hs9SPmXQNED6ymbvCXPl2QIBdN+ID/Qo/jgMtMMDWA8AFwjlGNK1X3PIT5HWmqaL85YMqrn9EULOcdJosjpqkZEQsbRkzGsTYEk8j8g5l6tJlRzNYHVHkd84/yCzjog+N0GdzBmgtdymkCuuOlddbIPiMYOppLQHuADcwYiK1MvnBCHmVgPxySD6TNDlI9J7XHle3HaZHhyP68xfPtS79X7/+F8uPPDKpiA72GCNiQ7A3Rb/ZwAVE3qu0E97QDxjW4gvffbIbAWG7wm8fwkbpEf2CwPKAvBcI57hoiusLHvpBYre9lkqVQ+mt52cu/vzgZG2q3lzwkrhBTCxTyCWJTqzNI0npmqmD7AWdJ5Rhpfu210n5ul/0thm5zgv95iN4duUbawTEz7Ijb3S87Bgidwn2+hFkw0VycAXOiSFRqVQiClEUFBAvl8ivhMR8TmMDJZoYDNUtRydb993oPVdq0INf/hyd+8YX56IHH2ymdsAhOodgjCKCSZpfoCUafXqaNtIOO+UN/QDiIxhiegFhuyDYzBTqFwB4sABBmHu1MIPWRv/icQcAyZYDJ1l16NY9P7XYuvpj43vDCc8XYaM16yXRCiUSQEgQNzYEE5wBEt+PkpSExNBswekU096kdUs/x7GQK76T3sfTzMU54Xow6R+0aQfBh7coy4JFLAHZerzsE9McISQe+uSXfeJ+jY4eHKeKWooOjvPk/W+cmkvO0m9+7q8vXv3cJxejp54ak8WaAIDAv7yW2I6HaaPo9HbjDpsn7u0yEPIZongbrmeoHxBA+LFYImw1AYQ7M33W/uaFZw0Aa78c5NP3dCaHq+LnWLV9VHlJNfLa5ep4ODi7coniuEkEIIgU9TCkdNoEBCijyFrEIU7X2CEyN3NxUd/WlxMIGoAOELIL1JFnLFp5QAsgJoKyT5hBmRvVK4ck/JD8aom47xNC5yODA3Rw/5jwO+32644G7alRf/bwcOmhpz5DD3/0N+c6p0/rvHKz9DKL8oAAEOyyFQ9TL3Npu9ph20DYTrBsNzQB4gE4znmHC1giDC2wEQjwmwuEq4xoPxFNEdFV9qZ3T7xN0uqbYxaPRxXps2E50Pbq5SRtBknSYVJGiiGWQIKklJmEGZNEA0GsN3zgfdl82T0gbO4+tUAwwQ7IPMrcEDjIKnvwT7ESp6BUJen7WhPUBms0MFBTIffiA+PVyGu2Wu+9q9aeGvYuLLwQ/X8f/zf1q1/96tfl1atuw4BeQMATseYSPrsmkyXUlvxuNTrt1j7ogbIfV5vzijYu9umhEbZjFm0WJOtXG1hTqF8AuMJ/0JVNBgDYFffcs/cQD5d/OvHEgSaPed1r+JW9peGIt2uJ7PAkaTKRJkQiIqFsoUyWV6THVuOez773juyuB4cbDd4INhtzBOiaLIKRsxLXfc2OoS07BN+gzYJAawMdQ+A6PZWCcpl4CC4Q6EzVifFROToyJFWSrA7IpL2/opJ33h4uTo2GL3z8f734R3/916vx6dNtSYSAWn7ZSDPYbZGuYReAAQs8TJsF5DYykbZLonvzhQIg7BQE28kUdc0hawptxgXyZpAGgRmCrxZI3ZN0/0/cc7/y6FjMVg83qEGrqs294dJAMBJWZZnKc0tXmRB1pguNtVQpYggr65pjd8G77WdA6sNj1AVWb6BkZys61vrEb+361RSHkfJRuFMi6XmkwoAYTCGQY44qN58qlVAdOzQuAy/sJEK1vHazNZouiJ+57xDzVr3ff+k7nbOffbC8+OCDTymivc7FwRcmcje/kYbASO7+bjUDDrkTMGzXTCoGgwOE7QbLemmCfjQATKFP8/Uu0c24wDUAKPBk5oGAxP05uv32w5WxIT5dKoufS2Sj1g4iarCUR57w1EBQGpqsDS83rpQSalMcR7rWQAs85KtrCWUBKVSkaU1RIL/9RgU20hHusXvpH27NHuIZr0GQTJtBTLtFvSDQhJiVShQEITFoAh7QkUMHVMCpTWkMNRhxoqQar8h7b5pitxykR2eep6985dOrCx//+NfjubkxAwSAIf9ckwL7sAgUMJewuB6mrRJpqyF2I3HvWjAYIGxHC2zECTYDgdUAeDiuV8gKOUixJcZWXIqIMN64boxSsCwwokmz3v5d5NPTq9XrDg3cUBsI/37M6u0ORRQzyVMueBQyv0XN8t7rD4zMLS+yZtxggmJSaUwBYyT1QCiR/0xCZmQZV4Dv7rIRELjeob/F5hRlOUZr58jKH/Bdl62RQkzAVKvpBDuAARFjL6AgrFAJAbJyhWqDVTk6OpiKxG/4Kul4SqR+EsmQkzw2WqYP3lO69OSjMw9+8vdo/sJMJf3mQ0maPcOrG6i/fjWEBYM1lSyRBonGApt/K7xhp4l768Hw3VydT/Tr7HbeXi/v0GYAwCGKzKDtAADHmmPr1bYLCrzAeSN1y4xohRGNarvhxutKw8eOj71LBY2bRdryEkoIw6L0FF/1Uh6VRbmyd3Ag5XG5HTW9KIEKF5TKlHzoAKUoRSoGPE0FJovaIEDWGwbXvoa1bY0WgnLSK6XmwKg+IO6R5AHaJWnBBy/wPKZHf9Qk+L5PB6YmWOAFMZHf8Tyvw1Jq+4IkVy05QBGNVUi9/dbh5mDK//Q//afHn//Mw0FneXmZ6Nw9XSfU2sufy2zG7gLuMAOnhCK6WIDwvIawniVsit+sZrC79msu7UZJ6Jo3aRtA2IkmsECwXqF+CHGRJ6iXFrDrLQgmiGjRyBNCXkv6ae/btye89WT51qDUul+qejklQEGS8jk1PcHmk4Y3dHhsQIaqEslWKLn02kmT0jQmz6SlpppYC10IkxfubkeKAqeRm9XalRqtaDYajzLbDOlRmXbgGRB0qaZH0s9IsQYBzCFd6B9QWCpRrRqqvZMTgkkvloLaQso2TykJGVcsrtPUQMoOjwXpG04NnH3qIfrTT338ieWHvumlxIYULY0ge08R4TnOE9GEgom5Hgj2LmA2IeJ8mdYT6yIg2H2sqbQbJNoW/GzFm7QjIOyEE0Ab5F2jG7lFr/EIrfMErR9+ljnRuFnlAqVI9LDuHN33jlO/zL25g4okt0Qz5ZJaKmarrOPJGg+D4XI4enB8ZGbpKnU6TSbRrEgqUjImieIc3bMIYauimuViipuzpMw1GyAUqowsspECcpoCoIifE0fpHDSCF5BnIsQAQeD7VKlVVLUc0PT+0bSxxOpKaKWXpIKEEkKVVUqlpE53nyx7d14/0Fw+S7/z7/6P5y5888utdHl5yIz40KD2asEVsGwGiK2aSgADlk8bbxI+96sVsO1OUrm3DYRe7RQ3M4lstigu3HKCXqS4iAug21XRYgUegu2O/tgW5hBeJJbCcZhOnWoPXTdV/mXF4xFisAKk7s+VBpJaPKGOJ1iHJV6TR+Gxm06MrKat8nJzieI0IqkSxBuyorRUEv6HN5of1zWTR+uJ7iJtZWfuhsyeANbaL8opgsu8p56va5Mlon9wiaJOOfTI90vkgRdwooFamY5OT6rWKnwBaduXQQdVnQyqCtebRBSqmB0crNGdx/jS7dPy4m/8+ukHn3pkJPn2t1GFNGKuwILAhe4iER13SDI0BP6N53hEP4DIk2jXTNoMDLhEEOg8ed6ON+k0LM5+OEJRB2nrJt0MBJYTuJoAzK6rHh2ByIOgFxkGACwB1qOUQ5qt0AEEAIO74AWDK9hlhr/r3us+6HnxIa7aIylqFDxEZxOGxLRUpehMSilLWMNPPDUxUK3sGRwUnggW6gskKEIvI+1hRVknNASkXJtLuAztes3Ju8wnYqAt/Nol2c27OUPGFNJY1olymgyQ4pkp5AclFZZQmommX4yunx6XFd9PlxZlw5fUljGlPvMUKY7qTW21BapBlXiF3XfXONszUH5y9XLytX/5T58++41vjKdEVhvguvG8lh2tANPS8gOYTVhgLtklbzZZc8l1t/YylVyPEhL3sGwXDNh3a+kYfQChiBjjRIN9uD96EePNvEI2KlzEBfIgOMOJxnKjfl4DWADk119mp44O1w5fN/QWz5NvlqKlhRuaAeaH0n2E0KKXqM47dKWzyuNBGq6M1soHjk+VL81dpjRNEYvW/U2zWobMjAFz0Gkapp1pV1Z0sG79okFjx2DsrYU/Wyd1hBjllVlQTHBGfqmq84bAA3wOt6hH4+M1qpUYlZS/QlJGcTONyn6Ii8u6bDB0HAbJaDG/vczuu2NPcGAs/Gp7Mf3mp35v5vyX/mo2vnx5ryQaIgMG5zJdMHSvVBHBXLKmUi8w6LvYJPZgNYP9e4/MquCw9JPaXaQZtgaGlxEI+eIZBMqsObSRaxSBsRn4/R2PkA3oYB3IL7iAHe0t4V4yniE7krl/oQWGiehSzsTCS79Eb33jgVPVMr2O8+iEZB0mUKzPMOpyklxSFMU03171FkRrMPLTalAr+ROHR/yIxzQ8MUZLzWWKdQarINQ9Z06jXikYBUBwGkFq5WIjI4gIQxHAMmS+DpJJACAs62KaIChRKQypWuOUxj6F6GghWCfwKBks+y0mZFOHmrWtJYmrmPleROOB4O9+3cgqj/jnv/3E/POf/P108cw3l2W9PogBTjlawYABQMA/uwwrolFFBDPJCrrVDNAKWECcsUAr4N8tcmOvkgUB9sFnCwbbhGGjop9XBAjbJccuMd7MOwSA2HSItfygtQe/EReANgAIsNih1dq4WAcQ2PX420Bdgzk0XnydTp4MBvZNRMerFfpxSc1xxVKJupVEoI1LyludKLi6Mh+mAY3GXHhoFOHXiKrjNTpw6ijVkybFFFEkk8yzJCQYqSM46z9eoxGya9f/7QIBCXIevENZcAxuIuVnqRHMC6lUKWlt4PkhVSqMFq4kpCJJZU9RJfDk+Bh4gbdUYTrOlkiVKE+1WCXs8NefnKTXTInHzz5Jj/7R763MvXh6OTlzpqaIBlQGhHWLE0a3YOiXOwAMNggHN6uNE7jpGtZUcoGA81tTqR8zqVeSXv+epE00wnbjBdYkAjF2SbG+QfOUi/gAfiqKDfRyh1pBdwXfmkFIlcCI7wLEShwA4C4zdOyYP3J4avB1YdC6Nyglot6O1NzikrfcWCmVg3BfR6RKeMbI5oJiPyYqYwAN6TVvuB2sgupRnaI0ojSNtEALhb/r5QoAWxdmYDCM1ioOYBahmTbSIJAOqzQhRhlpSCzwyQ988nyfxkeGqNMhWllOKI0RBAlIxBFVYUGRosBnVC2HbGrSa1LK5ijpSE82+Hhllf23HzyafPyjF//VQ58+31o9O5i+MDspqY7kxDqA4D4Yc/GrhidAE7iawQIC3AGcARrCcgcNa7O/5RX2bz7m4PIGFxDao2SaBeB4G3GGXpHn/vKSNgDCdjxEbsQYF54HwmYgyHOCvWakd8mwK9iuzZ/nAQABwNBdWO4lmx+gIbA0aGxMlN5wx4FfPPPckweTMJlKPFkWKuFSIMoAT2Wgu8jBBIpEmyRyszGPQZVo7MAeOnDsEA0fHKLTL53TphJoN9I04F3K+sKDiZvuSDogBpOHYXoQxXVqhKmFgEkGs8j3Ser6AV8X1KClY6VUpmOHK3T++Q6tLkHUPJJpoKPLWV5UW8fafexHQnPrsYpko2UWHd/r1e+9rTwXL9Enf/tfLz7/xHMrSfv8hMhMomsWB8GrOS2hT2TWuR4l97OOP5htrLmEdTaaSBs5AAAgAElEQVQAh/P1ItEuGBCJtlphMzDgd4A5v2zuSeoBhO2YQy4IrIfIeodcTlAUIMOFWxBcExRDBZQhxBYEeQBgfd4E6jX624dkAWC308dkJw+0h6S//E9SP96n/CQgDmMooihO9atnLNAuU0lJ1v3aE7pbBAs5sZpPtf0jdPMbb6YXZq5SK1mlVKHwJ6sbRqRBJpJgd2W5pDB5FBMeVxxeIDTlQpKc0QS8ig52PinGqVoJ6PCBIZq/TBSttqndSEkKn7gKMaNIVpivGzIh2qCywJ8nqMojGvHq7NjUYPzaY0Oztx6SX/sX/+OTf/bYE+V4/vyYIIJJhAVmUdFiBSsf/XDBYPdz1+m4Q+6Y1qtkvUl5MOB73lRy+YI9z2bepK27VbcAhI3cpNvRBJYU4+asOeR6hKAFEBsAyQYPsFygiAdc5JkZ5AIEgg517y554QdXaDKiVldzVCjyDl0f3sWp+Q5Brf2COiXhyXKiYtTsZH2BdPtRRJYVMY7+QQLpGSQDSbxWocHJQcZHqzR+ZA81VYeWmytaInweUJpk2gVu1gzy8EzBDDJllOAFGM3BETDK+wENDpaoHITUWJIqbnqUosRUB5sxHxuSPBi8o1mYgdCdD02JE/K9lA6MeDRMi6u3nxhs3nxi5Ozph1t/9gf/bvHKk2dKgppVtQYElFXmAVHvSvj652hBMWQ8Anlzyf6ejznod23+YaQHhyhKzQAYXE9SUSoGjrURIPKaYWOtkANCvgepvX3EDPoFAswhm0Jt98+bRG7RDLbBdyTJ2ao0CwKbHmGDY25swJpC8AatGj4AU0gT4JwZZAFgSTK+AzQ1AwT3NTN2/Lg/OjzQ/EnGGydS2a4ttJYD5sshwdH7ItXxAo+nGN0ZAKEzgeCqhwIMGMVw94/VaOjgGFUmholVPaq3mgRfZooKOJ6ZRxn6OBM8UBkQuCbGjGeu0dpAiUSq/adEiaLVRUUc87ClCOR5Jt2DoxVNVjmkUg0uKIayL2ik5sVDXjM6tY+1jh0IrxyeLD/9G79y4aEXXhiILyxWJKE4Ty9aKyiYh+tHcaslLCDwuyXU4A34hwUE2/IHcISzDlewYNDv1NEQcI+i2Ad5SkjLwGJJtAuErgypLPqMBfUMmwGhSCv05gsFQOg19Wo/QNCCjPSFXMCsFzHOqseym1oXHzBuUvsQILQwfSwpLooLZKaNeTGuZMP+t9djRn8AwE0RwndohRajapX2Dc2GJ6YP3euXOqekaI6/NPsio4D2IPIVU6rTLJhuhS0ZS7MOYUrH/mDbE8VCkKwQpYOMDlw/TXsOT9HC6jJFvqBOkqw7s+I+Y5jpIwQxhmmUkeFyuUTDQ2XqND1qrETUaqCcNCQfpERw8jnrGpMMXbw4zK+YSpyT7zM1WGJyathrsuaVxr2v3ZcMl7zn08X067/xv5x/5unHh01+eaXAQ2Q6Guu7KjSXFDxt61NuAYiDco1I580mDYZczMGaSZZAF+Uo7dST1P8Uug4QegXOtqoNiqLGLhBsGNX1DrkgcPmABkjO9++CIB8gc4N868wgI/guWPQqRlQlogWe/dULo0qbjk/S8NQ+9uZShV4flpvs7MUXO53Um0x9VtUdRXlESMtgytcNgfWQip5hplOUgMmEkb/qUzhcpqH9o3TTG66nZy/OUFtgUlkdjEaEmJUqVRUjiIcGvdAEtQHau8ej0083iBIgi5HAgQVG+1BzCcSXdTkC8iZ08h/q8AVNDoey7LM4lJ0l3ppLrz8wGrz3TQNnZmeXv/5P/7uvP3l19gaxuDimqN0FgaQ11aAxnX2H2WRtfBcQWjs4AMqT5Y2+5wNweTC4ZlIvT9JWyHMRccblXxt13gQIG0WPbX2xlR+YRBuBwJpDdvTH36KaARcIFgRFcQELAu3xyEW5i4nwmprQGsHsB03gAqSCjFXCf6+/XkwPjHg3lMurb/EqimaWG2m90agImZSlL3UuAufoHInT5x2l6KedcYcUUzuVGfnjZbr73rtort2heiuiSCmKSHC/UpVIoR4bQbZoiWavChKtlGTEKEmRKqfzTfUFm8aO+o4tH/BUooFx6EAFUb15mXZiv7PMpgao8sB9k7PPnU7++LFHZ2e/9FcXGy+eOyKIDhC1YV9rMCiilnkcrhBjHcBgNcQ1YHAAAdPImkk4Rt7NaieQKIpE21qHIm/SboChyETqCYQiVynusxcQ8uQYJhFIbR4IG6VQF2WIgguAFLuawILA5gjppBvHBHL5gGsCdWXdaBQr/JoYm/07nLTIY7F/8RnrO6xcjr39k42xI8dH/m6p2trTjltJQkp1OgnNzi75QVjZF4k2R2CA6R55SOXRY30mtHgcKOLBegzsHqPyeJmmjh2hkYPj5A1U6MzlS14wNiGm9peo3eC0Mk8UtTAtLdKefN2NLwOZGYQZgmzQC0jmS8jnMU2M1miorJYpYY0kagkSHT4adIL3v30vi+ren/3hxy88/fSjndbFhVrSXiwrqowBCPYBGVcohL4IEPbErsnkAsbyBo0Lx6UKMGCxRNoFQ96bZMFQlJuEY+Q5Qz6+gG16EedeUef1fMFohCIgbKQN8kDI5hxb324ln0KNtAkt4E6CXDdxzuEErinkggACP5yLC2iwmhfqgsB6g/BTzewDAGjzhxG1zfW6wt/OAFYuE3UsUJapVGoEJ0+KQyPj4S8FfpMrrhI0i4xanC03mqWlxmqF+2wYTVQVQICJ1XQmK1J7YLBghmVzCT5RxBSVxwaIjZQoGKnS/huOenUeCBjtaZtR0iRSEcITnjadEIdASMGCAWYREk9BoUcGFI3U/FRGbKEUEgIeadJcooGy9G8+OuLffDT8xl/8yfkv/PWnkpX5+QGx3MG9laX+110sIPC3u94IMcDRTZkwXc00oc7xBxBeV2NYjtALDG6MwV4IzjPTpycJ++zURLoGCB/xifIEuV9ekI8X2JuCl8gCochDtFEBTS8gQAs0jQBD0PNBIAuEFs+8QdYjZInwOi5gJBNAAACw4HOHrwdCR49oExOzpetP7fsH1XI0yXhHIWmBqZJaXG2p+eWVqmByhLj0pW6mGBGFKSmZkkhhyPAuy0EXOfiYRMBJlOHoKtMNr73N65TLohUrkgknFXNiMTJYDRDYGhBsf5myz6jmkxqpkRiq+Z12nRYCPSVCh4J0yRsf9tgdN+2Ja0x85t//b9986pnnxjvLy2XqwNnQIbUGBA0ClzBbc8muN3xBDyjmM9ysNh1jDU4ZgbbawSXLrpnkzrHlVrm5BT/WRNrMk5SPL2wWdd64nSQj+gIGl9yyERDctGpMwZT3EOFQReS4yEOUd5P2AkF3/SbRYZ2iZjxDEHwNAgOePA+wtwwzCLkSHZb9c/kIBskOo7Du33S8dGxytHV/KWgPMSVIxCIlKtFqO6GF5dVQMTEguaxGaZvzMgyZzETS7hndadvMiklInANcEuRHs4H9U97IDdeJ1C8r1PzAGaVbTprxV8+gaVt2M0WhJ2jU9+XUiB95ipppbOwZgY4sS+zonrQ2NebHd9w4fvo//Ovmpx95cqlx8YWBNLtHaASYKnBxAuRaAzhAcIEBM2lcZuaSNXm6btYNgnDQDho4yGRVRCu0njO4YLCcAdu7YOjXk2S769nIc6+6517m0VpsoQcQ+uEGeXKMm8nHC3p5iLCtNosKTKI8MbYgyJNiqwEQELP2v44NOOaTJsJOQ6A8D+hyBdYVlOwtMirZ1jBIy16hUilmp47RBw5MhTf5flqK2qtNqbviVYiXy7SwvCLnlpdCz6eJWEahTvwHkcbMNUyzhKzWXqLG2DNNJjkbOLTPGzlxRMpSSUoUIWhinP2D+GEVZ4q4J7SH6NCegPyU5lFrEGTFNixJBAkZUdy4Ev6dd+4r7xmtzj5/mj71r/7Fsy9ePlcTxAaNKVSCNjAgyNvp4AAgz13uYPxgdjuYSfAmdUl0LnLsxhysZgCBBpHeCoG2fKEoL6kovoDXZSdDtINbL+3QO8iWA8JmxTb57hMbkWO3XYMbObYgcPOHenmHXBBsRIoh8NocysULoBXAB1wAQPihBbqLAQG+QyOY2DF6ADneqBLN88HB5sANN4QfrpTp0MBAJ+206w2lQi+Rga5Qi4WiRidiV2dXSrWRob2p6CihIgX/kcSk4rZFuwGCYJwNHdznTdxwTKa+j0MQwGXbEymREOOSfM7ZYI2rA5NeFK3SFUwEpbvM2D5kokOt5iV26vj+4btuKp2vBOLsP/1HX/jCs+f2JVH9BicNtqQoimyeUEEKhDlqZiqaJDrLGwCACQMoHYlzj2MepssTXN7gcgY3Cm21Q54zAAyu6YTD27ykIjD0C4Te6doFQOgVOHNBUBQ4c0GBC7dAAB9APQHA0NUE8DI5+UNFQKib2kUbKca++Jz3DOloseMJwmcAw3qELAi08OfINswFWAgrWWs4mA4RqlssSKLucUt6DJ9nJ07U7hoaEtNDI9HNvt9K2m2VCAFThuvkBkkBJYnHLsxeDb0yRwloKFmclXbqswsdGkHXpJRzNnzgoL/nhmOChZ6EgwgGl57DPIk0KR6ohmywxuKqT00WyyaXXFdpQoSAHKR7d5qzbN+IGnjn2/auzp3nn3/uW+0Lv/8HZ6/U5/erqI4RuURUgmYzo3v2URBBO+gBYO237IE4JpM1lwAMFOFAM1jtYGMOe6SJSjukGZwB57ZRaSv0RZyhV3yhV4Ke2z0P14vvbuMwrOtXK2DbOZSAuByhH26AHYtiBkVeIqsJ8kCANoCrFCBB2gRMmrybFODIgwDnBhCsOdT1DhmNYF2jebcoCDGAjAJ/u4xkAIDwK60JmBYY/U8DwPkcm+91mp6S+waGvUMTE8m9I6NUra/UW1ICRx7BtGm1YQiVSov1BhcsrsLJQ37qJUIwBW+Sl+qJCmPwB89jowcP+RNHrxMqANfOBFwH2tKEKiVOJZ+LUomSsk9xyWNowxRl5TroapFSknRIiAX/7XeNDuwdHfrqE4/UH3/i4ebCNx7vNOvRZCaHpRAAdzRAhNsE9AESpQm0BoPmDWY77UVytUYu7mA9SjrWYMyma0i0AZoGhVzjC3i2turNTdV2s1WtRrAu1aJg23ayVIuzU7cBBGiDh/j6BlxFXiLcrPUOWSDkeYEbE8gDoeVlBTSud6goVcKaQ/M8S9KzQr/OG2RHdiPQhhyXXP7QVQMAggEMAACPfQkzjet9Q5ph43vl5IFDpbfv21u6KY0bUacVpakklibMq7dirhivCil5lMZKcekpxvxOEvMgVJ7ibR1xjsEfAo+NHTzijU1PC879rJQHoiOIQqUUsrCZwmyHUoSeUgM1T8lINUo+yi6FiKM6parJ9oyo6vvfNtX+zmPRJ//8j+deev5MEi0tjaRRXCKKQqJSTBRZnqARrjKtB9XQQVQPhNaYUBBQqyms+aO5gxFqS6KtNrDepKxyOxtAXL5gtcJmLtW8VsjHFrQ2NccvKuZBbKGfThjF5pEDhF7awO1AUaQNsM41i/IR5HzgrJtuvX501g8QQTNrJtlKsnXmEDYywmy9QNZL5IJAq8bcdsb00efpMMpAACF3zKW6lwmO1RprAFgzvxpEYcInJtoTRw/W/t7BA7Xx8y+9uNrpCJ8kLzPPCzmXKk5i3WEiFYKiNKVmkvCRkYFyJJZZQilFXJDwOJs8ctibPHIUPlJkDGlR8onUUInS+moaBaaREgJ2sBXDwKOBmpeIpN2M24sq8JvBfW++vjJZkp//+G8/97XHvzrQaLWqcnFxTFAcQxs4o3KoKNI3l62DVshQgD9ZCz8Ngk7OpWp5gjWTAAaAQ/+VxUl7AEPePNrMreoW9mBbaIWNUraLTKR+aheu1Qq7AARXG7ip1W7gTMuv03KllyZwQeCmULvmkD0WNMG6IJkxf6wQa1LsaALrItWyb/iCNYPsyG/+YvSPjSYKtSZwSDg+N1ngi+DgIe/U8Fj0Pi+oV9NUKCGF4hKBtA4p3a2CkUSFGXFddL/abKhKbaCU8NTvyBaPfUHjh/b544cPCi8sIamahdyTLKF23BRIaMr6mWJmTGRm68iabSGzRFOjgh+ZCtU73zz6wr/953N/+LWvxvVLl30RxwHKLo3Ah1LP/8A0IMzob55RCcRZm0yZdtBg0AiROd4AgLhBOLOPBoMxjfLepHzmajdCnYs+WxPJdsjIV7jZck9rKuWLeXbHPDJA6OUt6ieVwmqDfFPPIiBspA1WdbnWtWnU2hxyosNF3iHsZ68VmgAA0N8LTCHY/10u4GglBwRaS8AksvujFlJ/NwuAQqwytlQd39e+5+CBgTd0olW/2V5NPIbUbLSCzCic7aMNIi0UZzHq+7kKYi/2VKi8iWP7grH9U+nQaEXIDqVJC91jMImPoJB5CiWgWoSQ4a3dSYIS1WbDFaHeeHtF3XEqqP/J71/5zw99ihZevDiWNFsBZgk0wtYdHa3ZoigGMLpAyCZJ6W6vgeJqBrul2R+jtE3Ws6ZSE5VoPbxJVivgMC5xxnewIZc449gL5rotGLAuDwTs62aqulqh39SLa8s6DRD6iRvgAtxUClcT4Le8u3Qq5yWyMQOrDYriBV0+YPbNp01ko7GJGzjeIZufhOtYAqBMkAzfoQkiTiXs6xJhGyfo2kGgjg54tPA7ZhOAkpjvAVEMbZTwsUOdPSdPjf1sQs3hTrTkxa0VzoRkPko6mUdCpNqzg64YAAOAIDzFmqrtxR55J267sTq6b7TD/aAjYkUiZgrlnJ5AbDmbvgfaAIjFHMoDQx6tNi43f+z20dqhieqlGrFn/+3/fPaRb50NolZrIktr1QsCWnZBNBjgwD8j+JooQyN0F/MZ2sCaSyVhNAM2MmDIa4a8NwmpEpPwIjnHdgHhagY3vgDhh1YAGNyeSTbFw6Zf5IGA7y4Y+k29WM8VkBXmFxfduNmlSKXAcqMjGL0Iso0gu2kUemdGdJYTHTWtWFwgoMIMeUT5ohrLE2whDY7hZo62bWO59WkS6zSB9gzBJZrzBDnAUJYnaK3AdN7z2t/s1hXSO6AVjAcpwecWr463veMnwvcMjtO0F8Rj87MXYpmiBa/PEhIM7RUxObmHyfwwCTg6Y3iS6ipmsZf4p157e3Vs71grEiJRyDTV0WWlk+08zM8AAJjm1tUQ86E3O4zP8Xffu98LVPmpx77Y/Pof/+HcpSsXyiJJnIozXcBsBR/CBwAAJQCIXq+65pIWfGsidQNtiiJEhQEMrLOBOF2o7wbfnHhC3q2Ka8h7kmx8ARpiJZepaot6jhoQw13repV6RZxdIMBUgjvXLv1FmzcAQj54VlR1Zl2mrjYoAoINnhVpA1wwzCIIWqGXyAgwppa1MQKdOIf+Rua3dcTY0QbGLaqjxK42MKaO9gRhPYS6Yc0fdwJDAwq8D0vOkfCMBdphxQuCNk3uo5uP3Dhy8+CoOj579aW2aMQhU54Xy1gX8SBmC2GGlZMiG5UzWlZtFnPp3XjXneXRiaFWonSogShFgT9Cyokmx8jg9jyuSqEnhwakmLtysXHdETby9jdNri7O0mO/9c/nvn7mPLVbrSolyYToTnKiz2oXRxN0C+FDQDLjBjrybLSAFnqAwiXRljO4UekugTbmks5ctTEGhwdgXa96BmseYVe3VQyE33qRioCA7V13ap40TzsNwrBtUZOwvjXCZlFknCAPhKIIMrazwbN84MwW3BdVl7ncAKaOTZ6z+UTr+IslxsbmhzlkYgTrQWAEe9C4Q+0Ib/mA5QL46yyontcZ/1jg1s0sdr0KFWeVi2zvAXXLgena3SeP7zn4wtNn55qtRpgIUZEcfaqVbmaHHVOREo6+KjoMptHJ191WHpkYbSVodaFBwLNiszTRKUY1P6BKSKnHZafZacZRayb8b/7LY6MvPis+9Tefuvrsow8v11cXb5TID88uyEZZq+jMZKb86d6L1RLWbMF3qb07mkxn1XbZOiwGEJo3dAm0EXitJcx21psEobWkGefHNrb8c121Wy7QVlS/YJsO4xhuF4x+Ui/y5lFfQPiafcPOm99KFNnVBrDP85Nz4LCLhgi7gTOsBxAwEg85Jle36sxxf1oPEfapGm1grxHn1NFjBwQ6DmDMoa4mcDgC3KIQ5q7Au3GG7LxaA2hJt7+Z43fXYSsWBGgp36aB4dXK1BF29NDh8fdMjJRKL519bnV5tc6ZpIqHTlwya2CHKW1jX7JV1WExV/zG195WHRwZaWp9gVNJTr6Av0jQQMmDvuqQUkm73RKrzUv0vvuP758Y8B7+7KcvPP43f7Y6PzNTiZP2Icce168zK2jIFnSLybXdM56krt2Pp4FtHE2Q7bumHbok2jGdumkWbjqGrWwryksqii+4WgGndANtRS1h0KTYXawXKW8eIdbgulKxTz7avEaaGdFuASHvJbKA0BmmqGPOBeHAC7S71ZhE9uauAYIBEfKGbDUZQNArToAYQRnp0DmXpwGEFnCtCWzKhf1uyDAaFVkNkDhpGetAgcJIiHX2u+own9qsNJTWpqbZTXe+dep98/MvzncWoqS12qSkJT0vLNWkUizhHTQHY8tJm0UB47fefXu1WhloMeIp3lsgFAWK0UgYqjSSdcQXmo1VIt7yj15fHbj/J4ZWPv5bM3/0+c9FCwuzYVyvY1QeRE8BI7hwncLGwl8sFhDwJnU1hNEM+F1rAWybjeBaM+RJtM5RMi7VYetazUCWndaYR9brA2BAI+RzkoqAoA9jPEhWBpYM73CDbJv1RnpZgVBUeeYGz3rFDdxO1dAG4AAgx/lCG+xfNyNtN3CW0w75eIEd+a2bFIKN5H4bLQYI9IJkZzOa50GA36CJNO9AJ4vM9Mm0gPUOOcdxtQB+N94lXaOpHaWo5WfkN7zBPavDh16j3nLr7RM3X31hdqW11EwoUSyNPa8dJ77wk3InSPiSaLIolPzO17+2OlCpNX10o1ceCxRTfso7pVSmQkohGKlmu+Ht2ZuU3veTY+WvfP7qJ/7iQXHx4rOVqJMOiHYamFpQmCe+O1o6nzU4YDpl61Dw0AVL19Vq84tyJNoCTLtWjedoXZzBEGmrKWwJKOILljyDoLsmkg204di2EYD1IOW1gtsSxtY4uzlI+dQLd0Yet5nwjjRCUTqFBYIbQcZJCivP4M701jpQuECwxPmagnunzxBA4HIDXWHGTRqFyRbVEWPLERAsM54kCD9AZlygXbILggxSrr0/KAjOTCBlTSCcr6sJjHmkR1YDAG166B5advzShr1uu5Iyf/hqOHhg8cZ3vvfUO5demmk3V+qJjFOVdjiLE8Xbol2JQ+kvyQZvh5Lf9cbX1mrlaqOiWBpIjwLlYQKfDo+EAEloJ20Vhkk4Pe37975jsPE//ffP/N5LZ4aj1cWhtJ2SStNKVh2qR3sdl4bA2xF+7RL1RgBDFYTa4Q7Wk6TNiIwzZK5VqynMX60VspQMvZ3WDNal6qRXWCC4CXqaK5htigJtRekXdp2NNhcV79jb65WZmk/G62Ua6ZEtbxrl+UE+r6gXEJATaRdr3iCxDp6dPDewwbN8Ey6M0lhsWrUlxjadGt9tVZk+x3oP0brcIRsHsGkS3QCZ0QYaIIYPOJ+vAYGNHWiCbLJU8TnNemtZjYBj6SltlhmNL/l3v+HA+6cm5b6oMUvNpaXIT2tMqQC1zpQMhNVFVQ8bYeS96W131WpB2Bj2whTzGqpIRSpRChaLYjEtNy7KO147XLvp5J7W049HX/p/P3r57OpcJVlujIisKwAW2EUOcWVaM5gR3ppIdmQHmdWaAdzBmk/WlDL7GS3BtIm0FnvIXKwFqdxI1oOW6NYzWE+SoxW6TQCMpnJ7JeHaoDVcrWDNI/xmuYJbNmoLgPB7v0Ao0gpYdyf421aAsFFyXVExPgR+LFf1ZT1FIMjX1Bg4BNmCABcKICx6a4X9ur7Y2O82dYKZYpp15JhlyXJd/79LfC0IHABbTWDt/65JhFwHa7Jl50UnOmgCLYfOIFCGubRMVD5f/dAv3fx3O+3F0dmLM6vUZJLHAQlRoYW45c3SaimpivKPveOugYMjpdW0nqzKFkkMxFBOmAZ2ceWyOnLdwOBtt5Tj8SF19uc+8MRf1egGttL0BHVwfnTI01pAku8rYqmiRIPDaAetKdCg1Qif5Q6aN5jt8JvrLbKawQTctGsV76kbkc7Ak5Fna36ZpDy4V22CntshQ5tIufqFfAOAKdM2Hv2RsFjSjPbzZ8wsPS5PKMpByifj9ZuevSEQijpZW23gcgNctBUElyBjfREQsA6L9hQ5fMBqA1tfgAgyhM+CQHuGXKA4JZaRIcj6wOa4AADcpNo7ZLQHPneJMpEKzbW4nqF1pDg7VgYCZPtkfGDtuk0ZvUaDWQ9NgetZocOvie86duP4TaM1b3z2Oy8ul1RISYezppLsUrTk1cNO+O73vW244rF53hC6pyRLkKgnqRMrunL5DP+VXzm8V7bVUx/76NUvf/mz6VLU3EOp1gQ1p+BGM2XHHMLv2ruiCM3DMjAYEq3drNar5ADCzR612kSTZ2GA4MQXLHnGaW3AzdY0WOIMMwSfXS/SuuZhjmZwK9oOOFmw2N8FAs5nwYC/ow4PcnOQNkq7KKpTWAeEoizTfEv3rQDB1hscdYTdgqPrLjW/rYsZGIFya48x+luTSOcRrZlE5YiTgru0myqRfUYVfLY4WqAbL2BrINA1zYYkWxBYwhww0uFebQJl5pB29pvRWB8etQ/6uRgtAfFLOZXmWGVicezutx64c+9k5dTSpblOe2ExombA2sT5pc681/A7wf0//Y7hIKYFikQMbs9TTkIm6tzll9S779s3eWSqfOmFM/VvffQ/XHruwrmxOG3Bk4LUBzvzqzaLjPDoegLTxU6DU2rOwDRRNkLf1QbYwDGfwBugDbBdN6ZgTCjrSVrnXjV5Sfn4AgQNAtot6LKXfagAACAASURBVDF1zxoQTgGPDbS5/VVR2jngeJBgHmFBNPuoucedAgHHu5YrOKbRZkDolWWKIFpRXhGEJ+8y7QbQHE8RLuyqCZi5hTZaG+RiBlaonWqzcpllQNCjE/6TuU67blIbL7CpE3aEt8IOcwgA6HqLMu3RJddaCyDSZUh5V4sZYOB8RlN46GKhObQuz6dwwT9xZ3Bs+vjAa/buZded+da5BdSyR9LnM515Xvej4H0/+47RoE1zsiMSHjOlYkVx3CTpL5b/3s9Nl595qvXolz6/cubhL60sLy3vSSlCygKEv6sR8N0IDLgBftMaITOZst+MGaRH5DXvkQ5+wTQyGoJ1zSQ38JZzq9okPYBiBWndci39wjYEAF8BEGyLGKsVIMRWS8C1iqmq8n1V8bttLmwzS8ERsM4SZqsZbCNhfO+VldpPIl6hRrB5RSdM5NgW5Fsg9PIWrYsb2OS3HD+wZpGtBej2JDKCDHcmTCItS7YNoxvlhf3tZa5SI5AaCNalCi+Rjhq72aLcuEqz2IH2DgEUXR5gNAbWQ9gxx4zVAl0hN0lA8E5pE8gATnd2N0AAGHVSBF5Ktp2nTaTB47f5173hHaP3XDx/pdM424qjRLErrXmvEXT8n/zQfaNek+bSRpp6CamkHVPUXuRvumdk9MYTwYu/+//MPfK5v+zM11cGRWsVHp1RiSo3LeyYvE0Ltqnv1J2ALYG22sEBQmYqQUhhy1veYEwmeJMQ1+tmr9qAlAGRiUBnmapOoA2eI2se6ediSK/+bNK013XDcOZWwOhvF7fGedAxj8AVEHl2k/F65R/hWHCtunXN+Zl3ijTCOq+R1Qju7JeuadQr3bqIH6BIBhHf0QKzqDCdwgg7hH+dSZRLr8Zv0AZww9riGltk77pK3SQ62xQigTlk+IJ1kXZNIFPkb9pZK2iArkcIIDCmmCHH+E0DQIPRAEHPg2m+Z55VDxrCa7FgYnVo79H4tvvec92d3/z884uNZlvO1ue8KIiCn/rwu0dUg+bTepqITqKiVpvVgsXSP/nV42O/9j+c/u1vPBrUG3OjSRxPyAjuS03SdRdUowXg0vQACmsSOdoBYPDNeg0emQFBm0ru3FY2NUJkMQYrxCY5T3uYXLJsXavdZgCOVoDwuyRa48E5ppt64QLBLeKxQMC+ljQXAQG/u5HmovRsC4SNp64tMI16Ne3aChD0lPCoRzZAuKZdY847ZEcFFwi64szhBhZAbszARpCdmEHXpLFmlBb+DGhr5NiJKtvtTKCsCwK73ppERkv4PjSGBQA68zpE3AbadAfILKBREiR4ndcOrFbf98HrHpidWebnLp1NZxdnGPnKf+AX7h9JZmme2lE6N39ZDA82Sg/81M1D33mcvvS7//fzz81crUSNxrAQqFT2MUWPHn1tRwyU+yMtLzOFNBj0pCRGS4AvWDBocykbpRnAobmCQ6K7BNpNyciZSKGuNVqLMdhcJM0TnFgCtnFrnxFcwzzMOsjm5iAZToDLcoGQT8aDBgBPsCaT63HaDAg49ubNwAwQNprtxgrpRkAomvMYCXabFeS72sFNrNNxhAJt4ATPdMzAagMdQTbC3j2mGaENENbSJsx6GyFGu2kTIdbbdNsK4cYNSdaEmK+ZQRYkaF+Bz3qaJifGkP0eeh4T6GqENpCVJW/sUDz1C//w4Pu+9NgL7WefPZ8wSv0PfPjdI3yVFhYuXEkGatw/eqjiv/aO2vKv/vJzn7l6vtZprJaF0J2rMYVUiBZ4Rhi1RjCjP8CAkmcIu9YQesYqE1+wYABxthwim02k62nq5iVZz5ONMbjEWVdSZ0DA4moFHKvjagUHCNgWQbExaaaiNakXRXEFO5EhpqqyQm+1wqKzzi3y3w4QrjWP+gCC27Qrn1Jhu1m7QIAQYIKPMce2z2eZrutX6nCCXhmm4AUaBE6hTbfWGPEIcAMTM7AuUgg0NIE1iXJkeM2blHmMNM/ocgMAwBYHZCTZw5CsYxSO2YTaSSRBYF8baMY59YRomLrJzO0aM/ISRtV68Jr7wlsH9lVvuHzxpWBpdka+/8M/PiLnaW727DlxzxuHqjcdLbc++u+f+fzDXxhcaC6NSyFCIlFB53elYac1gE2h9hxQaLKIhG/LGyyHMOYRuAL+gcga/qC9SZZUu25Vm4rRNBpDm0g23qCIDYhrtIJuAlDEFWxC3mZAsFrBmmWueYR1Z00NM2oWXCDk3ag25SI/687G6RY5ILhEOT//GfiCm2naK6UCgqgLcFx+wLJZbexobfOK4CWC69RqABcIGIVReWaDZ+vaMXIqWU+RtcttRqmOR9iaAhMHgFbQ3iGbWGe0AkwvmDq4LvACAE1XxzicQAetOHVNpm7nCz07ASkIO84HE8kAIDOXDI8AVgAEyShYZcHhlfE3fODIm65cPj908aUL8v6ff9to/cX63PRgHLzmaC0eDMXMr/wXX/1bEd9AzfqEpBhCmZk/AtpAmz3avDc8QeBM1t43kWGYDuADaJ6kyXLmRs1MI6MZbJJdN2bgBN1wPJhKTUVMu1OdXCEQdozmNlkPILERZxTaWNMNx3VbwoCc25oFG7Owf4vSLvJAgCvVNY9cD5KrFXoBAcBwex+td6EWAAHeIizbAYJbgOPyAzu90zog5FMynAAaBGsdP1gfRV7fhsW4O7sRZGgC5BMZYY8h6NbksWaRkzmK3/S9GgC4nADENIJJhOHdAtlohGyqsjWC7JhIGSiY5+mBgwmkzmFd0CSaXPHf9vf3vfnK4uW9V2avBPd84O7BpW9dXHzgTQervM2unn2y8dxv/eYzZ2VyTDY7NUWJHp2zmes9aw7pUd9oBw0SMBJrslgTKAMN2ux1060Bhi6BtgE3m4BnAxNIcbEuVsdE0qkWBhSRSczT3415Zuudu3GFHBCwvy32t8l4vdIusG1RRiruGTEK5DFtBwjYv3je5j6BUFSJVqQRdgKEbs2BETjLW7oxAyfDtDsqG8EumXpjG0EujBkYjQCBdSLJGiTa8wWtYEDhEmOYQlr2oQEyUyhLurOaYA0YGV/g5HnMQ30NWrpobWPST8IOo2rCRu6uTu95W3hy4Hp1mIkVOb1Yb3/w9Xvk6cfTZ/7j/778ncvnw45IqpKaIVEZczBjpsIuQzYjvCXJGiQm8AUwuN2R9IgLvmD4g/EcZeYQNsziDGvRZ1cr2Hwkx+PjpmvntcI1QDAcpBtpNq1fbDKeTqozx7beIze4tlMg4HnZ+IptFrwhEL7ttGeAaVTU4XojIPRDlCEM+VJMm1KhOekGFWgdmCxr2aUwr7oNemGPm+bAa4U2tt7YCYpZ8wl/3ToCOHas8He9RHDPIEpswIXfNfAyQKjYX0vTgCmkTaNMu+ku8FgHM6zrTYK8MR2/KEMrJIxGlv2R9wzfMHLb4MmbXzM0+bPXS/r0f7zwV1//Ymf+2a+zllwZlloTaLPEAEFAG6Cxl+YBEDJ4iKyZhHUwlTJzaI1EowVGti3uBvPpdKPJ1t1qgm4aDDZcvS4nSZjkvPUepLVin/VA0ana+TRtawLBPHKzUhu9gGBcrnnCrFMuHI2Ahw6OUGQauUDA53znbKxbq1xjRBsBoVenCkSTYU4ABHkgIGjm8gN8R9IWRkVbk2xTKtws015EOQeENbMIFWdZzcH6YhtbZG+AoHlBD20AXhAYUqzTJjLzyMdExwAAhNwSZKwDXcW4oU0faIeMGAMAmjTjO+PkdbJ6Sy/i5CecKsqnoUq5urc8UKtVy+V9SUUOLtaqB9qDP//hoyfiMzT7mT+5cGH+aqVdb9Si+hJrtpYbTZqtNygKJImSJBnATMKEgpIkt6TY2O7QBBUzwqMoX1ebGe2A6Jse9WEk5SPOhlNoPmFzkhzB1vndAIJtEWODbHChWvPItHM0DQB0AU+/QNgoEQ/XU8QTAIZ85Rq+b1bCuWtA2KwIx+1naoFgvUV5INiUCreLtW3WhSxT5BV1062zLhRZsy6nOReEDyZRt87YxAvADcALIPwQWguErlfIThMFYcdcrYarODzB06bSWg4RaZpqeIIWfuuuzcwjbtyoIMS8g/pKv1Tzwtooq5aHRdUfVBWvFobS46FXCoLSECIIdX9wvFX++Q/vPfz0V2j2m4/XVxttT6SiJCJM3SnSRDbjdlRXrfZS0OisqHa0KCJqY9RGfEAZ7QDTR3uSLDiyWEJGoE3ync5NciLRVmt0g22GL0DgbaCtqxUMEKw3x/IEW7dg+5r2AgLiCZqYmn9uViqAAC2BdAukjrjxAcsTcF478w4IM5Lw5nOeI/Q+QrsXLCDLWC7mppzaFSDk0yqKapMtP0Cy3WZAyNcduPyg6pBoyw82AoJ2kzotWMAPmo5PX2sajPzrA18Zgbb2vfEWGQBkaRPW7Mnsfq0NAIJu7cIaNwgSn3jMqZx4fNAvlYa82vBkMDgw5A+Wa1TlIZUZIJJSoqSUHlOKewkNDkt+/7srE1/5klq+dFHBv8MVOHbIPT/A9JnEohY1o6ZsNFflSmuuvRovqnq0xNrUCtLMNArQy8h4k2AeQVChITBiGwBQKTXuTklCk2pDqBEEs/lIykSdcVws3XLPTaLN3QKezHu0TiPYpsJuZFmndphItssTdETaEm9cgCHMeSBoJWXyjqxppM0gJ13DOhKKJi5365i3bBrtBhCQcZrPLcprBIzy1wDBSbfW/MBJZYBCh3nUbcuYaQHVhAlj+ABAgFTudVVniA5DkJ3MUk2WvYwb4Ld1wTVGCrY/gGNGf2G0QiA4lVt+MJAE/gTVBg6OjA9O8LHBARqSbUrTpuy027KdNilqrPB2ox7HabuVUhordIPcNz7hLS01ZZQqxcMS90MvHBjxw8qIrFUn/QF/WA4FVVaFA6rVpnrzCs0sPL8607kS10XDTygBEKAh0D41FJji2bhbRXcmwmwenowfdF2q0AaaPNvUDMMvbP1CVyMUmUfZuvU1zjb/CPEEJxs2n3KxERDyk41A4O1k5jilzUbdCRDgQsWCScsLgWDrk93+Rb0S7baiEYqmfepbIziBNJhG6FgH7aCXTIj7BgKagek8HXAKfLYBtDVukPn+AQLjKcI5dMTYgmZNi0BrcMGJ130aKZX3HA8nxw6He4MaDWMkX7hMl+evNlbiuVZELZVSB30sAoZJytGpQouRnTJAPyJYXJhVBwMbXKWkaEgFNFYKhqcqQ2P7ynv27KeDiB+3l2j+pe/UT6+82Jqn5TSipCpI1mToeTIGEPSorz1J2ZQN3UCbiSl085LWZadCI6RrqRfdANs2gAAN4M69kDX6zkb5foGAzVdeBiDguDae8KoBgo0rrKtLdk2jNY8RjItu3YGbbp3XCFrQzUiv+/wYjQAgmOIePeJbINgIMkZ6/X8QXgi+Ey/Q3iFfg0IDANpDcqomYe14OH7wRHDcC3ggExKrc3Jp7tnGTFJHk9KUUZIwkpghHM6kiPk1xoPQ56EfcJ9LptsZga1g/sFYySSVSqZKUuIp3cnaSxTXtEDy0lg5nL519PraYdrne8pbmpcXr76YnF9+5spFmhtOKUFqtgaBiT4DCGZ+2gwM0AKZCYRG9t2UC22/Z1P6ZOWbTk2D+W3NS2S9RwUaAULmmkf4rgt2bEZqDgiIJ1jPEc6TD6y9aoDQqz4ZGkHPmuMs4Ai+yTNwc4zyGsF6jNxKNN3G0Xa3LgDCiuldCuBYEHSLb4y7VHelMKnWNs1bA8HPXKaOm1RBKi15BhC6uUR2rmhrAkEbGK6gweDptAkumVftBMM3jk4OHqDDpQqvdtrUaM2ky81zjZX2IofJgqg4YMMqFfJHxgdKgyMUhgMUVMo+B3XG/GcYriMhlccwOayUaYPSZp2SuavtaGWpE2cRXi4pwL+IDe5TleFbhvfvua50mHkUdDqyefl0+q2lxxcvUH0wJdEtzDFaAcE2m3oBUGguINYizpbEalPJkuZ0raJNF/SYJD101bZp2trWNlmptmWk7a4d5c0jBwhdLmCr14znCyCwlWo2npAHgjWPXNPI8oTN+h25sYQta4QiIKCl45zTyMtioQgItqep3sZwBBcIdrrYfBFOt2eR8Rj1AoIlyt0MU+stcptzOQEvjL0gzTqdwqR0279IqtP3u2YGZdk9JnVCfwYQGJUSvzqthiavH5gu12hkZTld7syn9fZMXI9mRUSyzElEXm1YBkNjQTg0GZQrtXKpOkwl3yPP84l5AQwoYmlKjIOBeHquciUFCdWhtFGPo4UraWd+Luq0WipJYoV5aSWVI6pNh7XxU9X9gwf8/aUaG2ws0cyFR1afbJ+heU2i4WKFeaRTMnRLAaMlrNmEDqzWZHKT78w6Bp6A9TCdulmpWYtI7WZFob1OsRC59OwePMGtWUDahQ6ySdPuxZDkIiAg+e6AExfZCAhoPIzFFvXnG3/tOhBsRHldop2eX4xowmlx4ibauTNi5oFgzSI7iq9r3rUBEFx+kAdCd5JxFPeg/YutLbZBthxR1i5Um11qfrPcQJPiNRAEHT8YZ+XhU+H+iSn/QNKQ8eVn2hfa80mHVlVKicepFPDBahpOHmHV8X1htToSVrhPPg8xFzOscN30LjOaU8l8n1TAYXHBP+UpLkiVPUpXl6hz6UKrsXAl6qzOi7jdDFPyuCSeyNLBsDp5e3h45DA/VK55tdnn5OmZRxefTq6ELR2Ma3vKq2jynGbmkTGZBMwjnUptiu/1JVnvkYkm23W21hlOjSApBEKXMOMYPTWCjSKvpWN0o8rgEwBGERCgIYq6W+haZcfDVNTvaNeAsFnHim0DwZg+uizTiShbu96dBBy2uuljqr1Frmm0GRCQRgFPkS73NEBAOxZtIrmZpmsaI3ObWn5gzCLdfZFTKOAiZTSRVgenwuH9p0on4Fe5+u34fPNMc4UiRH09HMGrDInwhpsGxyan+SALKYhIsiQl1pGCUkSYYS0yoZvbiSghnwsKA5T2+xQgbM5IVUoefF1KCp7MXpHNl56N6xfOtBpSIvOUFFUT4U+rWm26Mn7yzsrdKiX5nS/X/6b+LXWF6l5CCbJMPUGAArQNOlxkDcAQgwBdNmWcMKVsMp7WCCIr3ukG2ODqBBCynCVd1+xohE2BoHmCAYLb7sW6VC0Q7NCAdAu3fHOnQLCdLTDhuP187cSDTmQ57zWyQMh3rNixRtgACO5kH27foiLTaFeAsFZ/oKPDmihnOUWupwi/iYZPtYSP3zB4sDrhj1T30OjyDC1cfXz+IrXABxjKQL3KqCrd/JaJiaFRGkoZxm6iWEgeMWKJTKiVthlkinOQyJiIJ9plH7IyBVSlgMrke2VVZpwqHlM1H5Owkeg0qPOdb6ZLL5yeq+t6ZcxoG3ZkZVSER++bumPgCB1fvErPzXxh9WuN5+NlSmqSRGiAAJ7QzUKF4AtiJRDmzLzpBrsyX1ZWuPNyAMF6jlyX6ssFBH1rpmwTn192IGiTCL1nONHxHjUI60yjVwgImnxbj5FNt7ZxA6sRCoAA71AJzbrgSM3cpSLmVIk5Dael6143dKI0yIfBK597YvmMvMAwRSUn1eaVMS+Yvmlg7OAJfzRh5DXjBA3rGKzptkxZUk6ZP8SDPUfKtdE9XjhQJT/kgsvES5cuiE5jvhM15zoxa3NR8quqzEuqxFOAQZW8QHRWZPzoF5YvrSz7cdQuCQ2zakK1mysj199buhezm7/0cPNzC0/LGZpnnYwrQIOIdE0jgFR6qfEcFQBBp1s4QMAmOqawCxpht4Bgp5k6bnhBkWn0PQECTgpN0asYZ1MgmFrlnWqExESUNUfoAQQ35dpxoSIvyExMcw0Q4DYNml7pRGl03w3B0SDk5XQprZ97dPE81atEXuLxSuxNHg6rN94xuk9VMVZL3okSFinBGpSwjh+z4RPD1T03eyN8mMMO8nwmWdnjCDyowYQkb6h49aV2+4UnFlaS5mBaZjVV8UlVAk9WGEe/ifTKi+ny44+05tvNEmi2rj8ODq56x35m71tLg2xq5Zn0scYL4tL8N+uXKRkSGgza9hFZEU9qcod8P13TCLbrhc5SldBdptvF2nwL+hi6RsF4jrouV7dXagFZdk0jFwi2PsGmWWzFNNLsCnMo/AgI64NpXbLsJNrpdGukVmxQe6Bdp5kHyTOEWUeOoRGEj3RqE03WQKjcMrB333X8EGcURDNy8eJjV2dIYqaftlcaVsGeo/7gydtG9nYYeW0pWDtOWEtJ1qIOi8oJP3L3xNjgKW+4U06DRE+CIDUDmuA+7eOcqpGXpjNp+/SjC0vzF7x2lY2qki9VJQhkVUdBpGwt8NbnPrt6qTlfSrRb1SPJxxfYdT+z73UDe+h45yX6duN8evHSV2ZfoGRUUKwDWA4QjDvVJwsEp36hHyAkZNrMm6o15BzZzhZFZLkICPAcjYmsUGddmoWpYd6MI/xQA0FHlHNRZdjz7iQfth+RW4/cEwhZuvUaEExahSHT2jTSaRVZHKHc9EbvHjo0NEV7eUJq9XmaXTi9tKLJuFryRw9WKvtPlob3TpfH2oJYK01YIxWsJSLeChOmxqPgjvceODI/oLx60KCYIs1XayRpVHp0kA/QPh78/+19W5Mk13FeVlX3dPfs7MzOXrBcYAmBIBg0Icl2CKYfbNNm+MkKRfhNv0fQ37H84vCFpsMKi2EFX2wqwrYE2SYlGCCx2MXuzmV359K3KvPLk9/p7DOnumsuC1DiFGIx1XVOnaquzq/ynik7J7353k+bgz/94y+eDeS2jCqpt3plswXOUEjTn1bzH/7bw0/2H2+ezgsNkKtl93lx9/fufPPt78h3x4/ks+PPJp/91X969Gdyencuky3kIzA5J5hRiwbfzvKaGXekOkTCEXxINzmCBwLNrTkgUBlmu9ql8pDXQAg1hrAtWY1yopHJ87QadQYCu9us4wirgRCiTRfi0vBF+eB729/Y2JU7zVjmBx/J5y8+3j/WTLjmee/he7e2Hn57eGvngWwfzuriYDItTppeeVQflyeD43LwcDp8/3cfPnzSnxUHvROZavHQRoZSyL1C5GF5U94oenJnVtWTx/Ojf/+vP3+0KXexer3Zk+ZGr2i2q34zasrmR/9h9unnnzbHs7HMoDRPt/Zl+59vvfXtDza/Vx/I3snj6Wcf/bvPfixH4Ag7lpij5sS59EDwCM2eJwF4LlknikYeCNARNCzbwrxjbkMLR1gCAk5zYRZdOQIuh9qr7LVGP8KvF0f4aoAwM44Q0jPJESrpH5X3v7f9zjAAYXbwf+Txi4/3T2Q+KKR80Xv43s2tN79149b2W7L94lSKFzItTqZleTQ/Lo8Hp1Ldm/U++JcP3vli1FQve6eCPjugy4HMZVc25Ov9TbknPblxLPMvfjY/+PF/fvJsU27KdlXVm2XZ3KiKZnswaEaNND/6j/Wnn388PR6PSwVCvXMoO/9k+PDdf3DjnzYHxfPJF9NfBCDcncuJika0DF0DQV/Cr8V8CqvRl6Esd+YIVsd0rY6Q5wizWM7FrEYAA0KsT6ud39l+a+e+3AMNv/pEnu79bP+lTJETcdTbfXM4euu9wc6b723cfjETFYvGTVEczSblUX1aTG9O5cH7O7tf/53+ndkNqSaFRsfJqKq0cP6doieDqczHj2cnP/nRwbPDxzK+UW7K9kZZbxZFM+r1mhsbVdOfyvwH/2b/k2ePh6chzLqsy+3nxb3fvfOtt39L/uHkc/n58aPJL376g2d/FnQEKsssA6Mh20jWuRaNqJ/LCTyczFC7qB/hywJCm0ONYdlaxOscynLMfDNl2QAw0+A7gLtnmWchD2F4Wo3eH92791b1APmYp4/rgyd//uy5TCEaHfVGt4v+/XeGN7/1W1tvHFdSHU/rYjwvi5P5tDyuT4txfyq9N4rhg+8UW1tvbA77W1Wv15dy2BfZmlZNddxMT/ZOJ/ufnZ58/r/HJ8V4NNus+nKjX9WbVa8eVYWMqrI53ZfjP/7hwaOXe6Ox1IOgLO+8krf/xdZ37n1Tvv3q5/Lx0aPZ55/+6cFPYTWq5hsoBbNQlhfBd3CqscIFa6SeU0dAiZdrZdnw9FUDIfZEDrnCmrt8CfPpDJ5lsxapH8EScvqnVf+d0dbXvlm93euXg8nB7PSz//H0kRzfRCvYSvqzcvdtufH3vnvvfrktg6M5EnEAhqYYz2bFscyL4+ql9LfGvfvf2Nncvj3cGG4W1WCjlPK4rl/tzcd7j15ODh6Px8Nm1GyWI9nq9ZrNXtkMe1U9LEuQ3Oyv/nK29+f/7Xjv5GQwk9lA3+rl7WN5+I83fmP7fm/38Of1Z8dPZP/5z149R55CJZUBIXIE5jZfm0+vniP8LXKozbS4aCGVBtmZQ21eysaklJv1xoP3N9/ub/VuoF3mp/9r//P62Wgi07qUclyOblX9t//O9u43fru8fTieVrBvTupQTXQMcWl+VDTFTFDtV4qmqPpl0Zd+OZ/X8xKREEUlw2qjGUmJtLZms9drRhvSjBAqWFez8eFs8l9/+OLRwX5vUhejOQLrSmQ1VM1cqsNGKqTlbMJTgK7Ncw1s09giONRUJLIYo2uHWkjM4XYlohEX6xx09yV5ljvFGmU8y5quWVldOWbMFBpr1ByVt745uje41d+6cUduHj6RV8//7yEiPlVJkrKuRncmg9/+7u27N76mmeclYozG03mJtt6wYU7ns4KlJEqY0BFLbXWUqwK6r8igVzbwB496VXNjo6yHPalPD+vT//mTyfOP//LwlcxG87JETE6paT7DUprTelpLVULcmYVKFyH/oKoQbYR+bD7W6DrE4gJAwG/sUzVfZ6wRxJpflaA7jT5d5CJUWu8OdYk2Nm9Xo1vv9t/sVdLb/1T2Xj569Uq03wgAVJS9myf99//+7du3viZb1aZs1EVdwXr/aj6RoqoK5A01KPFS12pU7Pe1hphmSfRLJC4XzaASudkv65MjmTx9j07IOwAAIABJREFUVL/85Kcnr558cnJS18O5IPoIKZaVNKWW0GsaKarpfDKdS/AtsNZRSLYJecrEH0CxqGmkhQCug+5WKMv4XXP5CJcGgjnGstGnqDDheyh/BWHYmp1mijfzEdSUWslGpVUqqk3pDx9Wu3fv9e9MT2S2/4v6cHw4ntYnsJ2HukY3d6uNO18vtnbvbAxHO+Vw86YMJlKXqPxV13XI9wLWenVRFmUDzUSBUEiDwImikenBEzn54hfHR08fj09fHTST8QlSKQeod6TcoER97740U3CAejqbz8uZ1BpmbZXx5oFDhDALS7qBKRXxRpakEyJSr8Ow261GbUBgTaNchlqaj4BSj9a8I3qF0ww1ZqYhVBobjIncaNlpiz5lqmdbPoK2jrUcCVfbSJ1lunYQaWKGmtUpYpiFWqG0kG/wKahvQVCkq+rfktHtB8M7Gzty4/hVPT59UZ5O9urx9JWSZSHNSXVzp+pv7RSD4e1ysLVdbYy2B/3hpmxUPSkrKwpWFtAWtDJT3YBBnMrs5FimR4eTyf4XcnLwdDw+fdVMp1O8/Uc1SjvWvVKbBZalNFUtdT3VlP3JHMQO9VkJG4k5k+BM0z5oKPA1r6UXIGhNRsgprPKdRaguok+tldQhGjrO2vMRIONpifiWxBztoJOWczEZfVU+AhJzWAVvqaRLJh8B5VxQ1oXbleUjtAFBvXu/gqmasb4RTKgGqlWpmrEZSCZVExGo5Ao+VXMSTKp4Gfelt313dGPzYXmvGkh1+lImx3uz0/HT6Wk97YX+fUjV7NdluSHVza2qd+drO8PdO5PhYNjrI1VzUGk2sl5oJuV8clTPX74sJ/tP6/GzJ0fj8dF8Xs8g6oBH9Oo+NIhCar07fLVa6gJVjdCZeT4x3cCIXjmAT+Cv6giEq0nVBCFYhtplUjVZ5OtXOlXzdVexuOrkfXTJjEV/k3IuHZP3g7wCjSAp9uvAoeWzatQx6pX3N0a7d6vbg83eBtr2Hb2S0xdP5WS6dzILJA6T7qyUGsGbZSHzsUh5Wpb9EvGk0t/YkPFsInWNgl19FOESmW00Mus30kMMj5a20DedZmtXInVfmrIv83omsylCllQ3sDd9LAuvIlKSvA+NZK5cRVXqyyXvWzYbGw0yY+xvZfL+6wbC2rpGv7rlXAAY/Nc/7smg6o92NkabW4PNwVBGdSP1+ETGxwfjyfR4PKvH00ZCHSR6vVktNfDxmmE4VE9iHjFMolL2NqVflYWWHIA2UMt0FmL2ZkhxFngKQiqm6QLQCdrKuWiMkYlP1+VcRN7Vl0zH2qfXBb7OFPhi/wOtbVT3qr5UTa+oBpsy3NodbPZK6eGdW8+lmZzKfDau55MTmY8n0CFAr5BvQPjBzI9dledKqCJ9fCh6G/h/GVoG1jIvZsoFoC+wkFd4u4dFgqgSy7kg3DqWcrku8BWLAK8t8IXnmFbDvgqOAPHnTBFgk+HXcgQG3q2offpVlXxkvVNYko56wRs9L2VQVYOy6peb1WBjUPbLYHQN3MPSSOoZDEeKh6aGjQjxd1ZoHmG4qvIiNBXOsonM61oBUNdTmc2RPTbRXgnhra7KsSqGoU/CdclH05aZpskWtVdS+xRr+9zltkp3aZPxtiLAbZXuUJoxyvKuW85VFgE2TTMU+YL1yECpDcVDIF6wDrHyBQi8Z0WA8dK1EAxtERXynEskAGmqMwp/Id+57G9W/d5QgdDrVXWvDG93OIKLWsoGTKFupKlDqXYQtLJovRnI77O6rptyVkxlPj0BcAS20NAlJyTkh15p6jzDm5+FgK20e8Gq1DSTmh9hkbTvolJh0UEZ+i5FgKM/AplplmiPUOlcEWBf+9S3kMIaSMpZyk67otqnr7UIME1SbB11XRZeKvhsAYZ5KZOqCD4GC9ueTkutVIEICPw3qCupyqIs6gphFRCmKqmKsiwh+CgPqFHTqKibOSpbgwsAJtMJysGHekbaLARBG8hKq+rKSjkCEwEImpvMxJvrsvBKsldWBBiL+bIuuR5qv46NQlS2X4RnLFRfq5wNX5d2yWExg9BDDT0USvwNURy2sU8lm36YLdzaRIUIUfun/gOzoVPhRWmAqCewH7KtAZRcNwoJz3mtaPTf+8GbSx0h10PtunXU2dZR7JMQvc9stmgik45rPpc1GzTjhOoSzmkYPUDWH5lF6KhRYIVgPg06QAyfsFLw8bMpzqo0W9rldeuoZRDg06V6qGGBLl01L9NDjfkG0BOw/zehmaBvGhK5pbWNork0lrEPxB+6cFrEg+7guBE63vhVI6WWUwwbOEDkCqoHmG8Bg9o6yjUTVCfEdTPB1iYh5wICJoMrXKSrJn/YX4f2slZUWAmbRK86Aol7WTQKBO+5g2VQOo6gZ0Py0V5paJSBfRcGAXHpur1seGIX6arZub0sLgATahsQ/qY0HGfVOk3XLKTRpiHL3TSXCPOiDcfN+7zUcDymeuJhemAQII7yk92oNqhbwN72gY9Yow/jAtcNx8OTQ2Gv19JwPAcE/ljkEF5hxhiC6bsozEoX5heInXNciRbfWZMNyNOCXzB1ouT8aSHaVFCDDkJDQRJdaCxo68JMa/saf6SlXbyH1ypdoLfyCBV5GVbhCFhLvoR6qaE2ql0zKsvQDSyUVCtn+zd/0BN0s7a07TBIR0xBpteZiTXMNGPPZV3bfAgaTh3CrYOZVEK/Ne2t7EMqrE0UTaFTV5yXJVrYCROimFW+hlhG1V7NpTgfIRX4q5Um6kU/BG0UYuvuoXwLu2Faz7S0tSyWYz0jjKUdNfeaxTFwAwLBl4N/JCL3bYytZTEPivL3a5GP3DPONhzH+F8XIr+Z4QhdgIA5BEObnqD0w6bdpiwy1ojXALHiGIBwF36E0jUVNALzPoVhGUAAQCDKdcM6bHoxJEamImjZCNy3keJcq4W0AINdzzcgF2s7i2MKCiq+BnBbKyrI+F4KEl+PyYDkCofHn0ctQJ4ovSgU9IVgITKxik1BcI42CzQPs372IHB9lgEk1DZV4mfZd0TxoatmOHa2KYjNJRAcCACIsXbRdISPdQkElG5BA/M78B2gJ4KJeqh0jc33WEabKIDB91g+sCJgKPNIcPheaxcBwjII7AeB1SgHBByDggzzKbZVHCEFAogYTrfdxDqCVrOe+NOeah4IUJoxtytXMCDoewpddLCxATmIliISjqEUPcOyNVTbQIfvCDEpRqZagxHoAwjZZgdObTFF4jcuEd/4PI75BkwlevcsciBwL6sQLqHfJIRQxFgkmliDY003ECWcbEvFfI0DKCcwS5M1G9dK1yB4ds+066iDa3NN40DO9dwAoddsFaXdcVwjcXIEX9zLA4EgwGnandOA4NvKEgjPG5FbDN124dbrgPAO6vKKyHvNgiN0BgJuDHqCB0JbuEWaqKMpmwYEEDK752BNAEFpwv6mQEBr2CNyC5R0x2SKKUZMB8wjCPOGQwtO0IcZGpDHlrM6owxFxdhNB4TPRoNp/2UVkQCEhMjxOXKG5Wp7UVxC7VQQOEQn7cMcQi6WOYKRNy1HjvhhLdJNCdb90N6PgHEAw+aEKCR7+4PeYV7luerVDW1lF9WuwQ0sN0DrHWm3hlC4a3O+qGvKynVqagz/oheZY5p/IDL2TUB0QXbHMVAoN6gX5R0VKPb9PBDQ4IOtowgEgAD/kIuQA4LvrwyxCBtEI+9IIxB8N81OQOCPA2LJAQHjXmmGl/mBEUfUFUysODCZnmvG5iEJENh3WbPW7Ny0i05AUPjHtrMEghbwZaByEJdiE3LM11yFRfdNHaPyrGBgP2bK92woglZSIM5qAYT4ZkdIBkWk8PZHW6mgE9h5AATmQHTjvuoY3qHm0KDmTweEKCYZ0ZoOgFBulIY3WBmxGxfg+cxRdkAIIk8Ip9ANXAD7JhZp5pvqA+yTZiKRAsESbzCOfQDhEC2iTAwC8BR8+AywgcvaZ/RKw5pQbAECfEZv5ftJLwQAAeMUgQgEEDyOeUsR1sJ3YzIOE3GUPpugF2ADEHDtdv1A5APUNUpFozYg4DjFo7RngmWfL+kJiDvCcYpWXBdcAa1mI2GLCLPWlIYcENiEHBwkNiA34tPsMpHhuFxuMghQxP5qBI+94WOdVFiSnL6g4pFvN2Xz+1CgHXeI1ih782N5VaRD77VKgWHPKe4HkCyJhARC6lijAuxFIb7x+aZHiSKNLzJ9groA1mTucQRT4BBawUJLu5tYRJHF6wjQDfDWBCj0rU/nE5JvfPaZ/XRpT2U9bERHIOAzq14r8RsACAwQPhVk3lOqHwAMAMK79lAAAGyptcgDwSvK5wYCCZUyecoRzgsEzAfR324RjxQMTm72NVFxHJxBuYKI7C06Ygb8ODBo29lCBlCcI7js7Q8xSTkCrUoQi0LDQf3ZIhgWnGDJskTlV69n7WmVwJ14xDc8juOfviygVANExhkoNvnvy+ed+0siN+LQLpgEBAlemwba5qxFAYgQlyxHGftsAWW1SxeKsRN9aCXSBRa+C03zRPQwuYAPrsNUcATcW9QPQPxNSM3k2x/j4ABRV0iUZDYRfCEib9n3om6wSxnfuNhlgXBWLEo4QgoEfEZe8p+4t/q6dlJcQwmnBQgUjwAEPOCsKdVxBaxDMNy2C6DZIFtNgTMADNqM3Eyqak6FSFJIowXAqDg7gjeijGDA0rQmsYJ2NLdSVMIk4xAqMhF8NKva298DEvuqM4R717JJK7bQxQab1xN4zIhBCd2LUTCNBstR0BGMC+h3guhDfcBbh2xeFIcg8kA0cjrFuJECkaUKBFvD7gs1jBeEbYQPSxFBgL+Yq0q4cQMPNm/5ARAe1BI8wnadHBAIAnCIJ7BU2jMiN2BrKIpFeB5n65yeffpLolEXIOgvaUSeJutQPMIcAgHiEZLxc0ozjkEkQpdObml4tg+70OR+V+7FcwWcT98C37rUC1RMMjBQx3D+BSU5+h08GDA3AkG/lNaZiKZRcgYFBPUF4wgpsVNMil80saad+WkcCJYUZyN+/MAQPwgWswjpMidiPdCoDySKN/UCNZPamIpN1AcQyRqOF7AI4RpeL5BGxmopcoABNwBn8D3SsK/m0oQbeHMpLkIzaq5XGu8PhO/1A3TQZPdMrOGBQBDg+KWAgAUoHqUcYRUQaD3CHO9g269EwAVgPfL9l+lTuOnFI3tjQzfAhtKNS83IcRBdMg0Q4AQg0KV8BXv1Ot+CEjt1D4BCLUgmLpn5FE3+dC2aVqN/wag0OuICKBrkTQAo5AwEBImaugWOr+ECZ19R7ghFDtUF+Fa2HxkgibpDIwUsQPgcidqtA2LHOKxDU5R2dyDQ5oBG2KhlCuKniVSXMMcZjtFfoM4z6gTOhwDRAyB4ZpyA+sArm5M2FacVCffDShXkBjgGZxzMpgQCQAHL0EWAkIpFH8SXhFOW/a/hgfAzyr02gRwBH9OQCw09ToCwVwZdIQUC2C3Oh8kTG0QkrzQrvVkdUyrNXlkFGEwkUiCYiLSkK0QRCfb2xJKkJlW7X3T3hGLsrUk+PMJzhtiExNYjADSxx3QCfRt5LsFn50WnDPmfefvbD2Xijp5B0Yn1iCy7LfQucEDx+3SWmYikRSjJBaJi7PUCI1oFgwEBnIDKsDrQFsej8wyHCATPDQA0ffNbG1n6DHAI+9o1ZwUQVvVKQyIORCqlR7MWkSus9iZDNwjn/QkIi1ajHBBwTOsXFSL/z725PRgYcuE5ggeD+hVwfmJBQjNyBZLZ+Hl9ilUUcehkg54AQNDJxqbkUES1ZDzemCYi0eOsB6kvJGBQhdnGqEOQO8RwDOcc8+EZ8VmF8cBtLHzD/JNx7bVikn/wiQ+BRK/FIsGpTRfAKTOIQGYNciHbQRGmqGNcAPPNYhQ4gbcMkaBNuY5VKXhf5AZG/DGMAuMGPG0gbrZ+HMY+HGdQkKPfwEBA4qfzTJepF9wAn/cNGLeNs3ixKOUIaf0inJ/LPcDxNo5wpUDQL+DijnzIBYCwn9EVIDLhzRzNqU6/iEBwXCGGXjiPM64J0yrf4ACD+hWgPJsN33MGEG5UoNNo0YVFKHAHF5vE9ZXQHeFHOna+CTW7kjuQM0SkJ5Sf+0iWvawrRDMoCZBmUhWF/MZwiUCsi5AJm6NKMQGQWI6oD+hUFuyCpERHmb83I1jqBuACVJIBDirKBJ8Xi3LhFLikF4tyQPCeZMy/MiA0PZGfZJQ3ike4GJRJzwXoG0gTduBcu28dNnEewYDWs7D4aNBdi65A4loXkEcF2t8fjqm+YOtbuylwiDOWJIBAvc/OmuT7sDnzanwnkkPgAFrW4nrq9bZN9Yd0s3shmCKn6ICDuK692eGYimKTEeIZ4jeuoZXFIJ8Hn0HUBUjYGkTniNnyjtVXwDwIWojoPQYIojjkAESdBffHNz+JfymmyHED3gf9B+QGAAA3HAMIONdbi8ARsOVEIp4PJdl7kv9CWLZlcQ2IRei9HLZCpCsQ3gPLcT94WwonrECwKHl9wQfipRYk3AZ0CMjpUGIJBBz3OoPK8xaQh78QjVgekmJSxpJ01qxqfoQNAwOUahC/WpLsmagVyfZVqXbKNglaq22bwowJKaFnwWFrut+8fTd5y+cIn4QSFWGT/fGkvM2eRO5BwFBu1Olm8j3XMwDgo3ICgkAbA+rTWCjuUSew4zSV6sdEQcYxBYB9t9R5xnO0dWxGLPLcwAPBO9CwxjtJpOmlgPCBiHxkBIEcBWzfaQGCN6XmgECi0oQdsL/EyQZ9AW1aAYLUtwBwABC+Kh7Xg+WG+/gLEcmFX6jOcBh0CBWTsIHwUyUaQXogeG9RYkiGgkNQEt75Iww8qjib+MTgPR4jhbcCohMawiSCQBVie/OTmHTMLEWQyWn6BDHFt7x726v5MrwxF21h8VxScayRMWqe0mFGECAK9FZiKiXB01QaHWiNyI2EGzCmCKIRmwSSG8A69Nd4extXg+WJ1i3vSfbh1ngeacj1G85o8H4j8pPMsz7DEf5LT8SbMP05S+KHiHxh7B7cwHMEnOPzFNrij/aMoFOuAF0BYlPkBkZgyhGwmckTf+FxhomT3AGET0cbDkNngChjIRj6d1wm+gIm+viksN5SsJ76NEx88sq0EqazMPnnFWrDL8I1CJJz0HzrVILBokSX5sVul4lJlJNgugQoXOhEDJuIC9m5IHyzFo3Ro005ADaaSh2R5UylIFjY+dVcalsulMJbigAEgAAg88F1Xkn2RX5XASEVi3KeZNxWFgjftxtOdYUUCKvCLtKEndSKBOKnuERdAZelb4Eh2gqGjG8Bh31BMALEW5JwjGZVvXcHJLzcABDmLyhncJGtpjOo7gAOEb3RBhrjDCrCOTEoWozogOOPT05ATsH7TSlddYg28vfmUJtDq5AR57IOQI5gROh1AfUNmKc4mkUhJi64CIhdRSGle+cbIAhoHdLnbNdA/NBdO6fNSoT5EIkYSoHPqW6AtQECpQn7i2PwHsOLTN0A420JOF3iiggC/F3SEcARsAEMOaWZCTv8rXKKM5XmNr+C0raFZ3uu4IFAroBjZzzOnhO0+BfUyeaVVirQdLpZKAYB4S1KieIcwGDij+oIDlAxipUPZFlRXgDDOEMbjaeAadMBlkCSKr9+8YX1Z3EUXCBYiJbEoDjBrEL4jJBqgmDJT6CoWHbmEQT0Hq+zEBloFwAzoMGB5hNvQOwEAcGYAqEtyhTzu3KDl6mVDT/wZYGAG/AWpVx3nUgza7hCCgYqz1FEUkSF1dIoVc1oSxJ5/Dz1QNuNxHAMRcWCbl6azsG3P8MzwgUX1z4Tu2RLLHGRZQQsAWQdOFTZPfNjLZ/FvAAcjaZQzxGCXhAAYG9k7lO/SJViXFN1AX9trxgbKCCeKQjMtwE9AGvSaYZpFIe8v4DiEMYJAuxrMVgEVybcoC2miE8iVZKvBAhYvI0rYGxV2MWqYDycC5Mq9AY1pxYi4AokUjqjfPgFxmCmzFqRbI1UTHpWWnqngYGWJFWgScR2XTreGLiHJTX/2TaKTOQUOUAQLFSyeS44BsdSgjcLVAcchCmRcEnsdgyE70WapbDpEB4RAUCTqLcMUTG2kAmVlHZc1KemWWLzfgI7BuJHog0VYoBAI0udKJXzF+S8xx4E3kqE40/sel2C6zAfYtEPZNEbrZtuwJ/CcYSuQNAfKONXoHiEcYpI9CsQCBgDGGBOZZ3UXXu7p0Cg8gwrEjbvX6DC7BN5fEwSFGh1spkliZwCiULcbokM1aIk0jBUA2CIViW3H4P2TEn2hK5AsHXj8RYwYG4XKxJCEnIb3/weBNi3QDZ1uJGAqQdE38CyGBQjVAeNnDKMmrVK8VmTahI9IY0ohWIMSxGIHGBILUS8Hw2pqEVghcrFEykgLJ4I+1iXOgGBkPoNMC8NsFudhRYezVmxSOT7SMyhaHQeIKwLu8BaPvQiBQLG6WTDfupo0xs2MYUmVYLBW5JwDGDwYou3JgEMBIQ3q+oTWYhKAIRGlYJTeFGJZlZPlAlQVJ9YSifl5IyTLfon8nQej3pR58xUKsIGgJfJ299zEYIirrEQecZoGsI3f4wbsok+spXOsjSQjoox/sJcGZPxnSiWhlFg+ZxIlHIDAsEH17Ul3mDNrlGmbUB4mgMCJueUZhxf5232XCE1p6YeZzrZ2oDg9YWcf4HEjL9t1iStru24A89hBewEEItQbopKjpi9hYmEpV5qiCJuXhSjfK71GsJfN0wOAKuPJ3Qn459dIvULBF/BmRDqpRNdPjGrV9NSBJGozTrENSgS4bPPQU5NpZxP3cBzA4xBLPJWIhxrC7XW3z/hoOcTi0TOAIE32MWvkIpHOHdd6IUSvRFNqi/kuEIKhjNmVctxVr9CYk0ikfuqGeQOGPMcAqIRuEFOmeYz8ZwCxwCMFiBgOHCKq9mCzT+z1hIQ6AdI51rUqOYMUBnWO1xeEJ7omE/AIWaZWUmWnHUoBYE3kyLjDC8KRpamYRQ4l9wA+/AbUDfoEkrBa3cFQioWfb8R+SMSiheNuHAXpTltKpIDAo6RM9DjTDBQV4C1h8pzzr/gwQAg+BAM3q8Xl1gXCdxA9QZ7M68CBLPcUkAoYKyYWASEIm6ZiMARljLhzPR6NThIbP0ZIk45Q4wRMiKMyq8FtfGzF4GwLMUg7NMyFKNHTQdQ65CByHMAflfmCUDP2Yb3uEUcyoGAIhFBkDrOfFI+zk+jTLt5kRe/yhIQPuyJ/LPkF1sFBExNq2d78ykBQTGJ5lRmouXikLqAAYQMZxa21JqEYwQDCB8AwD8q1cxneM4SMUbIvrl5DM9Y+BuWuASuQQ81nXI45q1N/jF6cYkvnXMBo8V8GkMhksVewF/mlFv/9o9KsJ2TBsvFpRg9SrCZEoyPtA4BBGeU4sRhts5MivW86JNLuvHlWTA/BwKfb9AmDuHcZS9y+LY/QopBfMaFyL+qRO5l2HibeOSBwAfoQy9SIOiXgMxo18hmsjmTahtXgPUI8Uhxy1iTSHDRmmRZbjjuk3vY09mLSpoHveyJZn7DksjkdQVVrt0tLRF/+kzPKyq1+RGc9cdj4RDSk5Vd5HGvBDNUAtzAZ7opF3ClV/SDXRsWIUZ+Imwi+gpcDSJM9/qAnp5JtFHiN1k+1QkwhuswjMJbiPhdUiB09Rng/JylqDMQsEAXXQHzYEVKM9nSWCRyhhhm4QjD5zgzbigXso1rMcVT7y8TpEcw8AGymBj1CE0DtWunZtZIQC4hxwOPOoQjwMFhUrYuzllWoD3NdtrP6QQkUiPqYtjIKZ1gS8TviDlerAUAFH1A9BCHSMj+PD3mFFLv7PNhEzyeZpt5EGh4dQLy1GfgLUQ4NwVB11AKnJvjBjieBQIGfh+xF8lbaxVX8NGpOH9dzkLqccY5z+lkc/4FAgXjbQp0CoZUZk890V4/wLoRFFaCMhWRSASRS7S9zZ23OhJiolN0ovpuk/SNnyX8FV5oKsHxO3HHxfOQMD2Bx6QaA4DXB9JaRFCIoRgTRN5E6kGg+85fgM8EQc5UyqoUmHcRn0EbEJ7mQiwgGrUBAce76gtdwIA5vg8bTKpK8A4Q3r/gwcDfD463WDFvBXCXwICTM0W2ABAo1VF3sHm8lhedcOyMLyJHwBlwdKPz9bNSe3/ujKwC7CcaEahzzKxBMXxaKTk4x5h0j0NnQOAIyYPH6wYEhR9v8xe0WYh42xcFQU4kwporgYAJyD9IFefzgCHnaEtFJA+GnCVJv7zTGfRjsaiEgc8eDHxY/q2fWpa8VYk+B89F0koZGp6R4QIpMNo4hoZ0vIbNW3+wPHMEcjL/0uVNCaboQwAQDHGuL+CbAMDPYcI9j4EboB4RzaMpIBBDhCK8yC/wJd3T2qUs6Y51U3EIx7rVMQ131SYSnQWBERw5AoGAvxe1IuFciEi5bDaMrbIkQUxSIFkIhrckIRwDoRj4h30Phh1kuBUi205f8Mk9mEsgqBfaJfrQsuSJhlwCgPGON++l5nzGM6WEH+ObbGJGtzgXTMAJ2oLwWFQr3pPtUAkGsZ8prwKLmruDXNAchtPSK9QHKApRHMJnikNMrmEUqYIAvREQfew4CWqRvm/1idZZiAgCxBJh+w1bp81c2gaEZb1g6VcPVqN0S61I5xGPCIa0gLAHAvbTQsL0PC8l/ZsSDgUa/1gAgEDgfSPDDUCIVp9MKLcHhJ5nyT4wsUaLktcf3HH1UFt6qOcKKYfwz/FM0N+5SH958lLMT2Ydb/nBMD7vem+rFdrCWASAEZOCAM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KZ15yza9Dm08sP77eI/RrVRzduVMDjhKrYm+mUkMICIH1TcA+eZAvh20XqQ+XoKdrzfcoE4O1NbMiQPx90zD1jpG3O89BEdRAAioXh8olQLk4aDD8mywLpb+9L2irtqShBuJLuhaTr8IfLy+4z9jzdyDzjh9bcLtODbynJzH9/m8sSX8q5cA6Z6RnX3q8BH9fPjg/aFOqZ/3FVvAfn1jcebHYAaWdEBACQmCFCKxFa+IsNIre9tg9N32SXwuE4q7nv+EC1/O/B4PECjHsbxixKvbHSWoJASGw4QkMXH8F7FOH2nKo3PgIKl94eEYoxi1k//AK2CcMLDu3qXd8BXqqOm8ciluIXbojEIFoiMFQFCYDUdhN/HlPTGL6+lBAZd75IsQu2rak66jc9Cgq/7xnwX3Gzt+KzLteBAQ/Jy9NKX7yB6h/99kl6Sz9q5ch/uMndezL+CYQpv6+KWR+7TLEXtS57rFOaPJXb4Yp1Y+1G2kvBISAEFhVBNayNXHmJgFVx7Z+bM8PbnyAzr/q59O1I9P3GGPOWk2k+7YqnnyyAcVIrIqr6ejJXISAEFhpAum3Xor4i09uO2z9BwdQ/MvvzXov8cozkPq585d1msb1MfnmL7YdwzlzM7J/8LJFjV//zj4U/9ddQdvch6+CtS27qH46NSp++m7U73hmQX2qLRnkPvByUCq2oHa9KrNlM/+7twKe7lW15/uZ33whYpds71ivcvNeVG54KHh/YPflsE/f1LPPxVRgl9rJt968mKbSRggIASGwqgmseWtigy4R7Y1vHriEzrzomr8FzH9ZtdTFqrhqD41MTAgIgdVDIPm6s5H86V1tJ+Ttn8b07902673Uz1+AxFWnL+sC/GenkX/v7HGjAeMvORnpX7l0UeOzdZStpGy5G/7MNYCzdPsCeULTH7gd3mNH+54bW0eX00Jb/r8PoPrVJ/qeT7uKbL3N/EZnt1j/uSKm33sbjBsK0sFPvG7JXXqjeXlPTWJ699K41B4TFGksBISAEFhCAuvCmjiLB/3d0vnHLCFoYwxdd9116r5i0bamnZhfdhOW72e0b3IK/rBHekSBRo3GKICt208/442+tnNiVVzCgyBdCQEhsKYIOJdsR/Y3X9h+zq6PiV+6CdCm+X72d14M53y+hM4uvJfR23skeFFty3Z0T/WenICeqAT1nPO2gJLOvL7q9xxE8WPfbTun1E/tQuKas/tmzG6RplCDmaqg/Pk9cB8cg9qcwuBHX92xD1P3279HBOqwn5MbTL79yzD5mT2dvSbJ+xJ5f2K3Urv1CfjjpXlVeN9l8nXdHXrYRTP/zq8uOrANpRzk/vQqcLCdTmX6g9+C90h43ClhY+ivr+m17EW/X/vefpQ+8f1Ft5eGQkAICIHVSKCdNVEZN3/o6Sf+BcBzpDCmYcZso8Y1rAllUd63rKKVcqr+gFu/KJPxbrjhBk1EM1/Wx3mhq1YoXn/99XTzzQetWGzSrlTceNlMp6HtrCY9SNpsNtBboDFqgK3Zoc0X50a2vFjyKh7ns0mGFwJC4LgRYFE3+OGrOo6ff9et8MeKzfdzH3ll24A2vB+O98VxSf3s+Ui8+oy2fU5/6A54ew4H7w1+8mqo7HyXy8q/PobKP/6wbfvM256P2PNPgC7UoPM1WI2ANe0qe48fxfQHvgWY2d+d9q4tGHjPS9r2r/NVTL39K23fY4HMQrldMVUPk788L+dwR67dLLlRo9qd+1D6VOgq264MvP9y2Gd0d/OsfuUxlP+pPcteJ136zRcj/vJTOlarffNplD47kzqLhWLswq2z6sdeeBKci9vvBeUfFyp/f/+s+sn/fEFHYVq96VGUF7EHtNc65X0hIASEwPEi0MmaWBgfuzM/efReAp6DwhhBHTaKjiijpqC8QooGSsmkU6vXh7yrr97u796924hQ7OMoilWxD0hSRQgIASHQIEAWYehvrgXs9pFPi3/+HdTvOxTWVoShz74B3GZuabp1cqCYLnvapn77q+BoqpSOYeivrm57HEr/+17UvvF02/fYAsmiLBJ/2fe8BM6uLW3r1u54BqVP3z3vvfgVpyD9ixe3bROIyz+6ve17iVechtR/vbDtexzIJf++r/d1XgWC810/3jV4jX9gOnCzNLUO1s2GRTb77vaCN5oIu4Tmf+dW6KMLi8Zqn7MZA+/tvBeUAw1Nv/trXa2VFLMx+OevCoIMtSvlf3gQ1Vsen/XW0GeuBcXauwTzseRjKkUICAEhsF4IrEdrIh+bVWlR5ImxUBSr4nr5+Mg6hMDKE7BsG8NDgxgeGkYymUA8FrpG1uouKpUqJiYnMDE5Bd9bROqGlV9OXyNyREuK223runuPgEULF2skhdyft3fZZKGkG6kh7LM3B0KwXXHvfw7wNZB04JzbPu1Cq9Wx1wIGP/YaqE3JttU4AilHIp1bUj/zPCRee2bbNrV/34fSX7W34iX/0/OQfE37dvW7DqD4F7MD/7QboJ/gNSwOp9//dfgHC72Wj+wfXA7nzO5WxV6WybmDsHvtwB9fCWtb51QovFZec7fCjJl1u8KW2/xvfRUcuCgqaiiJwb94Tccup//7t5ruzT3BrJIKG/F6skrQyzSEwKonsF6tiQx+1QpFnpxYFVf9Z0MmKARWHQGlCNu2bcP27dtgW92DnHi+j4MHD+HQoUPQLfv3Vt2ilnhCznmjyL67vevlUg419Vu3QB/pbQEjx8LQZ6/tODTvZ+N9bXNLN4tn9cuPofKl+eKS+8j86mUd3SirX96L8v8LI392Khy8ZmD3FbBO7J5ehCOzcoTWfgqL7ezvvbRn1en3/Ru8ffme9bhC6k27kHh9532g3faQRgOwGyr/qNDOtZjrlD/3IKq3zrYmOmePIPu+zmuZese/Qk+F+1tXe5HryWo/QjI/IXD8CaxXayKTXfVCUayKx/8DIDMQAmuFQCwWw1lnnYFMOh1MOZ+fxpGjRzE9XUDddYPXYo6DgYEsNm/ahFwuvNEvlkrYu/dx1OtrLK+brTpa8+YeM//pqWA/IJdurpdLdqw9jQlOjTFnXyH375yzBdZJMyJLZeNdA9tUb30Senxmf6V7zyH4R0rIffDKnmJtoespfeZe1G5v7y4b9dVX8JpvPoXSZ+9b0PDsIsquot2K+9AYCn96Z89+rZNyGPijV7R1L+bGpuwh/+5b2+a4bO08efVZSF53Xtvx2G01/85bmpFSo0rdXII5wNDkW9qnTOm5qBWusOGuJyvMV4YTAuuBwHq2Jq56oRh8mUkE1PXwOZI1CIFlJ8A3dc8771zwY7VaxZNPPR0IxG6FBeNpp56CRCIRiMQfPvTwmhKL1ok55D74E32xbbVEdQpSw5FF9YGGtSoZC1xU2xWOCKrzoUVIbc6AUvPdXf1DBeR/92tt22d/60UdLXr9LCb/B9+A/6NJdNsH108/7eoUPngH3EfCID3tSj/Ba7xnplC4/pvzBFSvOfXaTxi1L3z4Trg/HOvcnSIM7H457FOHOtbptn80asT7SAc/+qqO7sflzz2A6q3z03Z0c+1tl6qlF5fj8f5GvJ4cD84yphBY6wTaWxO9/KGnH1+zkU5bj8mqtijyRGWv4lr/CMn8hcDyE2D3sF27zg0siYVCAY/sfbzvvYe89+ics85ANpsNLIt79jy8ZtxQOXk6u1/2UziSZxA8BgjSaHA6jbmFXRpZUHKJv/hkpN/aPs9h+f/cj+rXnwzqDbzvZeC9jHMLB87hADrtSu5DV8La0d1ts9uaJn/lS2D3z8G/fG0/S19QnanfvKVjwJh+gtcElro/+Dr04RkL6EImkH3vS+Gc037PZ9RPEHDn97/R1lrLdRJXnIrUL17UcVhdqKP8jw9iVgB2Y1D/3rPgHwuiknzDOUj+5Llt++lkTex2fvF7/bi7LoTXctTdqNeT5WApfQqB9UxgvVsT+diteqHIkxSr4nr+mMnahMCxE9ixYztOOvGEwJL44EMP9y0So5FZLJ5/3rmBZXHfs/tx4MDBY5/UCvSQeN2ZSP10+yAjrcNz+oKpt325+VInoVa/+wCKHw8DubC7IbsdtiutFi0OWsLBS+YW3rfG+9falSDiapc8ht3QRWuxz9qMgd/vHM1zMfg5sujkm29s27Sf4DXckPkxx8WWftdV/PTdqHeIHJr59ecj9sITFzQFjk7LVsaoqJSDgY++GvzYrpT+9n7U/i38sWBWsRVyH7kK1ubQ/XveeXHL4+Aoqau5bNTryWo+JjI3IbAaCax3ayIzXzNCUfYqrsaPiMxJCBx/AizyLr7ogiBwzZ6HH+npbtppxuyGuuvcc8ABbu6974EFi83jQSL9lksQv3xnz6HnporoJNR4359+JnQ9tXYOQm1q73rqPjoOlMI9n+0sk/x6+e/uR/W2+UJCDSfnRVwlzugR/DTbpmgza5uj/8RRcNRMDoBDA+3TNfQE0qmCNtCT84Os9Bu8pps4XsicuqUKifrhNBmcLoPF7dzCgXbs0zu7nc6tH1gH3/01mHJ4TLkk37gLyWvbB8LRExVMvetWoCXSadQu/dbLEH/xSR2XW/jInXAf7OI2uxBQy1B3I19PlgGndCkE1i2BjWBN5IO3JoQiT1Ssiuv2syYLEwLHRGBkZDNOP+3UIHDNw4+0j3LZ7wDnnnN2EODmiSefwvj4kX6bHbd6zoXboDaH1rzUdeeB95S1K7U7n0HpU2EeQhZqgx/vnLpgqRZT/Mi/o/7gc311x8KCBcbc0s3C11FY9jVil0ptgu/0E7wG2qD2rR8BLa6bPIr72FHUv9s98mlgGW3JaUmDiY4WudaZl294CNWb985bzOAnr+4YpbTdyosf+x7q98xYQTklyuDHXg2OeNqutLoet77PbqrsrtqpuI+Mo/ChO8CsVmvZyNeT1XpMZF5CYDUS2AjWROa+poSiWBVX40dF5iQEji+Bs848E8PDg0HwmsOHx49pMlu2jATBbSYmprD3sceOqa8VbWwrDH/mWkC1v6RX/uVhVL74SDClXqkLlmre+XfdCn+s/T49a2tmVr7H+EtORvyVp88bmvM+Fj951yxN6O+fRuoXLkD85acu1VRn9TP9wW/Be2TmRwI1mETssvn7OY0ipP7T+R2jikadzhVhcyfNVlsWZd0K7y2t3jRfEJqK29wrGrWnlIOhT72+bzbt8kYmf/o8JF/X3u2YLZmBNdGbbcnkY5j+lfZ7WnkynAOy8vf3Q7dYLfue5ApWlOvJCsKWoYTAGiWwUayJa0oo8mTFqrhGP1EybSGwjAQuvOB8JJMJ3Hf/g8EexWMpvEfxogvPR6VSxf0PrO59VK3r5ITquQ+/suPSi5/8AerffTZ4P375KUi/5eJjwdSzLQdEmXrLjbMCo7Q2GvzYa6A2zexr1IcKUNuy8/plF0UOINNaOCgPB+Oxd23pOY/FVJj6jX8Fu1b2KrHztyLzOz/etRoHjcm/4ysw/nz30KghpwrJvvclXfvxfzQVBMjpq9gKdiNQELsPp3/pko7NWLRNv/u2eTkNOfoqu/a2K/poBSzg5xb79GHAYh/iOcXT4Ai4rW6tfa3jOFWS68lxAi/DCoE1RGCjWBP5kKwZiyJP9nhFQA1+OTDUpBVCm/k7/ItgYEBcmcK/ogZh++hPfi8s3GXUtlmFn3D7meZBn+wNFW7haW0ftuJXovbh2Fyr0SDy8OHXW8bjuYbza7SncIrhsqIeWz61jddnnzFNEkHfYftw7gGHgMjMjGe2IDVm23ghmDG3NyG/EEFIsPUkneHQ0j7iEjCaaR8uNuwhIha2bxyjYEzTPK7N48e1Q4Dh/xrgw9mEN0HztlI12EREw7VHzXk8NQtb8/3otJjTPjoG4TnfGK/l2EfdRx5yAbOIf4NdUN00zsJoPY3j0qzbAByesq28w+MR4Gk5J6K1c32tW87HYHwTeJNFx2/mM9E4pxpwmuO0nCMRj3CtM+dpsIQGb2p8/mYd1QhzA8j377oH2vdbTtqFP1WWhRdcdknQD/e3VopzwVZk39VZtEzv/ga8pyaD5ahcAjSc6Lq0xE+chvhLO+99LPzxt6FrM/vZ5nXmG/gdksJzcJTBVouXNvAPFNrmQ+SgMLFLdzS7Z8saC8XcR1/Vl2vmQo9fV1fXOZ2l3/YCxH/shK5DVL/2BMp//0DXOt1yDkYNORpp8RM/WNhyOEXGH10B++TBju36yRm5sEHXfm3+/PN1YCmvJwEV07hGttxO8PdReJ1rfBcFjzNfPdF3WERVa/6+5kt7+L0dtg/vPYK60QXT8L7exrdv42ssGKXp8dtoF7ww8z0dtIm+F5tfMDPzC78/w+/qYNxZbtphP80SfiE0+w+m12wf1grHa35VN2bS6KHZPhp/pusZbo3XmhzDv4MuW/oO5hX8L/zBpjntxndIiGFm/i2zbq6Tmu9HvKP5NLhG35fBPVV05BrH1zTu0Uxj/Dkfk3A+LfRa5tK8D2ml06gftWgcjpmFBXOJ7n8aPbf2Oescm39cZrMI7mzD4xjNM/g+njnHovsqE6wvhBq8Fh2eaG2NCYfHpsExuBEO20Xn1czNR3RcGkTnHOdZZ1zj/ApPgOZJP3OetSDmz094A976+YvwRfeIcw5Sy58byZoYfZ4601iF76yUVTE6kSPREp5jMxfeUIdFYjE8KSNx1Kq/oxvn5iUguClXYf1IbLbcRM8oyoaIa6qS6K7YzIQ0D26qGwqBvziCD16rSG0RReHHpSGbZkRt9EFuCt+m/u0wfnOESJTN9NAUV5FgbnxgW2o0zqjwlSa+SK62dtWixkKNNLeXUFBEEjn8fozqNC4AraK1EQc+EiOzx28RVI0LYFPkN4duXPwiIdnUki1isnndmf2jQqsIa/3Qheti8Rl+WUbHMvquj35+4PMlvJEIW7eiaBWdYX8N6R+dLk3RPXPhjH5wCBnMXCyDMydqF7zcOL/Cb93mses0fvMbv3leNtbV+Oki7KBxYxD9HNE8rNx/wxrREKnR+TT/0M983lrXshQ3dpZSeP7zL11zQjHxytOR+rkLOl6xJ3/1ZphSPfwcteyF69Qg8yuXdoyaGYi1X7u597fDHNfEqAGn0uCUGlHxDxagcvG2ufpq/74P8R+fCYziHyoi/97bMPzZazsHv+k9s4412FKWf89tPXsI8gt+4rUdrW5RB/n3fx3+01Nd++uWczBqWL3pUZT/eU/PebVWSLz2TKR+pnNEXA5IxIJ/bnHO24L0O35sQWP1W9l76DCKfxlG1V2tZSmFYnQ9Ca58LaIqvN8O7mwbQq+FhtHNH+hma4fGjUJTWDbaBAKgcT/R+JZv3kA3BUh0Ex710XLTH/2AGomHFkEZ/li7DRubAAAgAElEQVQYiR0eL/puBUy0z3TO90Mwm8bXRUNeNDRsU0nNaJ85AiL8hgjbzxUZkYYNv+Nm5j8jmEMeM9+V0V+RyGjwir4KW8RZ89g0WMz8St0irgM+kdKZczybX4/hGpvCLZhn42fomcPXqNOUeS31I70f/dA/w6IpfMNlzQjw5tfzjOiO7l/DcyziEp1j0WszArD1sxg2aYi8ZlUT/DgR3SBEx3XW7wQt50nzfGycm80fM5rHtfHTRvPGuOXcbrQJ7oxaTpkZ4RseQG4RilG+f5stUFvO1Dk/ZswwCD9+UfvmRPq6LG0ka2LEsi8wq6XS8bIqrpb1yzyEgBCYTUBcxYDUz1+AxFXz9/gFtxOlOlgocuF0F5z2YrlLN8scz5PnG5V27qXRe7VvPjVrL2Igbv7kDlht3FSjNgMfeEXX1BuVLzyM+g86pK+o+eDIr71KP+67/YpOzoPJ+TC7ldKn70atQyqMdu3UljQ4BUon91E+PtPvvQ3+c/P3kMZ/4jSkf+HCXggW9X4/FtZFdbyEjeR6soQwpSshsM4IbDRr4poUisGNjzF03XXXqfuKRduadmJ+2U1Yvp/Rvskp+MMe6REFGjUavLll6/bTz3ijr+2cWzfwXRMk02YLuZ79c8g6O51lOUJgYxBYluATk5PYu/fxNQMw+zsvnreXL5q89+QEpv/wm8Gf6V++pKtL6VItuJtImpvSgxOwdxJKnG4i8cozmtPifZa837JTUdk4Bj/5uq7LKPzpnXAfOrb0DNk/uBzOmZu6jlP+px+i+pXeAZE65bRs7Xz6A7fDe+xo34dn4D0v6bqHs3LDQ6i0iZbKA6R+7vxZzPsetI+K5c89gOqtT/RR8/hVkevJ8WMvIwuB1U5go1kT17RQlAioq/3jJPMTAitDQMLZIwhkwwFt2pVWccUun+z6udzFvfcQCh/9TtthBq6/AvapMzn+6t/Zh9iL2uTd83SQhzHx6hmhWPnXx1D5xx92nD73y/13K92isfbDha11g3/2qu5VtUEQFGeqd3Cloc9e29OFdfLtX4bJ1/qZHnpFH/X3TWH6/d/oGGgo884XIXbRtr7GWmilwv/4d7gP9JcyZaF9L1V9uZ4sFUnpRwisLwIb0Zq4ZoUiT3wxVkWt7VxdrIrr65Mrq9nwBDZ8gmxFGPrsGzqmaajc+AjY3ZLL4F++FmqweyCbpTihqrc8jvI/tIkaS4Shv7kGFJuJqDnXvTQanyOhuk9NztqjWP7cg2ArI6dhmBsNNfhCcxQoFeu6BD1da9lzO1O18rkHUPve/p7L75UrkDvg/JGcR7JX6Tc1Bgfw6adQ3ApyZHIexE6Fcz36z8zeN+ntzzdTguQ+fFVH1159pAzOhdipqM0pOOeMdHw//7u3gveZruay4a8nq/ngyNyEwHEkMNeaGItx8EYvf+jpx/8FwHOkMKZhxmyjxjWsCWVR3resopVyqv6AW78ok/FuuOEGTRz9bw2V+XFG1sjkl2KvYuCCGm08XiPrlmkKASEwn8COHdtx0oknBOkxHnzoYfietyBMfHN4/nnngtNj7Ht2Pw4cOLig9sezsjWSQu7PO+fhK33qriCHXSCkOIH6vOhAs2cfu2xH4KLaqRQ+cie8xye6Ltm4/rw8e9yAU2AMfviqZlveP1m/7xDiLz55Xn/u/c8BMQvOuTPCo/g/v4/69/dj4E+uhH3CwJJin5s/sVPnzJqZdyulT3y/L9HJa8v+3ku79uU9M4Xp3+8vNQZHOB34769YMJdmnk0iDH/mGqBDagy28Jb/7v6O/SeuOBWpX7yo/fvaYOItX2x7Xix4wsvcYCNfT5YZrXQvBNYkgTA6PKAUwbIIdkwhFicUxsfuzE8evZeA56AwRlCHjaIjyqgpKK+QooFSMunU6vUh7+qrt/u7d+82IhRX8BTox6oIrbYQzFbeq7jtlDPeaCjcq+hxbieOpC97FVfwiMlQQmB5CPDFe9euc5FJp1EoFPDI3sf7FossEs856wxks1kUSyXs2fNwsI95rRTnvFFk3/3ijtOdvv52eE/M3t/mXLgN8RedOK+Nt386CDeY+qldHfvjwCrO82bnNuTKHKjEe6K7gIy94ARk3v6CZt9snSLO+3fG/P1+tVufgH3+6CzrVuED34L72BH046650OM39Y6v9HQVnRuxtd0Ypuxh6u03gwPG9Cp9pcb4/n6wQO6nsMjP/LeFRywtfvIu1L+7D2wRHPxolx8d2OraZY9htwiu/ngZ+Xfe0s8yjnudjXw9Oe7wZQJCYBUSYGsiB2a3LMC2FZw51kQDeg5KH15v1kQ+FGvWosiTX7BVMTd4YW50+0vrdQ2PxaJvgn0aYlVchZ9KmZIQWCCBWCyG5513LviRLYtPPvU0pqcLXXsZGMjitFNPCSyJ9XodP3zo4eBxLZXEK05D6r92jlI59bYvI3C3jIoiBO6Fo/P3NBY//j04F28L9rm1FUF1H4UP3YGB918+7+3ql/ei/P8e6oqOBWjimrObdVh0OC88EWogPq8dW66Sb9oFTkURlanf/mpgkWL3yqUspu5jkq1dPUo/wYBq33wapc/e26ur4P2+UmN86VGUP99faozE685E6qc7p8ToNKnp678ZiHx71xZwIJxOpfjn3wkswJ1KtwiuHECIAwmtlbJRrydr5fjIPIXAShGIrInElsTAmkiIxRTyYwe/XchP3b+erYnMeE0LRV5AJ6ui8d0BAm3yyWw2mkYDqyJhdOvJp14DK745sCq6Br5vxKq4Up82GUcILDMBvrk766wzAssil3x+GkeOHg0EY90NE8THHAcsEDdv2oRcLnRfZEsiRzldayKR55762fNnBXxpRWwqLqbe+VXELtyK2nee5VDPQdTTdq6lkYtjt4ie/rPT4NyAQ59+/bwALGy1ZOtltzI3UErpcw8g3SH/I+fby8zJ5zf55htB6ThiL55vDQ1YvHEXYDfycbaZSP3uA+AosHOLKblggdetUMwOcyey+26XspAIpdnffCGcXqkx/voe1L79o74+Oek3XzQrnUhfjQBM/fqXoQs19LJw5t/9NXDey04l98ErYZ3Y3iW4+vWnUP4/9/U7pVVRbyNeT1YFeJmEEFhFBGasiQTbocCaCL925LlnnroJBmNsTSRlxixDRwzMUbKc6fWwNzE6BOtCKM6NgFqhUgq+l/VhDZH2N0HTFgOMGsLWRCp19uYTTr7SrRrluRqex+kywsSbki1jFX0yZSpCYJEE2G1s27Zt2L59G2z2E+lSPN/HwYOHcOjQoTXlbtq6pK5io+FCa8ouJn/tZpClMPCRV7bdY8dRSjla6eD/fC1Urn3AG05lUfzYd5F970vnBS1h74ypX74Jwf7EDmXwY6+B2pRsvsuWt/SbL25bmyNkZt/14833TLmOybeG+SDbFZVyMPip13c93ry/kvM2LqZwZNbMr13Wtak+XEJg9eyz9JMaI3K37adLysVB8e5Ctl0/PG8uvSycLNS7udQO/c214IA67QoHN+IgR2utbLTryVo7PjJfIbCcBEJrIkEpdjlloajgJEgf2f/MbdVy+VEyeI6AMShz2CjrqAV/EpZdSJp0ea3vTYy4rnmhyAtptSrG92WcWqyYtI1Ja7eW86GGifSIMbRFAVsN9OjIiTtfbTupHa1WxSiwzXKecNK3EBACK0eA9x4ODw1ieGgYyWQC8Vjowliru6hUqpiYnMDE5FTfexlXbuYLG6kfsRHlUoy//JS2wsx7ejJImcA3+Xyz36lwXkDOD9gp8mfhg3fAfeRw2+bzhJw2KP31PUi/9dJ59Vl0Flkotuy97JXA3j5tGAN/+PKu8I4lNQbPhfeDdiscXZajzPZbgmi1TmcLKPcz9favQOd7p9nod8x59RQFlmYu3VxHeQ7T7/23jsNQNg4+FzuV6IeIRc/zODfcKNeT44xZhhcCq4rArAA2DWui55YPjD/7o1sIakxztFMyh41R4xb0hHLieY+oFK9nKrWTiu5ajXTaehDWjVDsZFXUwCAZbDKBVVGPAjRqOfaJoyed9nrPU7HA/ZStio29ilrMiqvqQyqTEQJCoDuBfgK7BLkUP303Bj/yyiBgydwS5bezTsoh98c/0XHA0v++F7VvPN1xL1trKo65ncwNBMMujPU7n0HyuvPmjccWrvI/P4zMr89Y8Hrtcetl8Qssnm+5sWP+wG6U1VASgx9/dc+Isfnf+ir8I6F1rldZ6tQYHJLP2p4FpR2odCx45FQhwSO/loo3nyMdg2q8z3kN2c2Xy3JEk4045N9zG1jsSxECQkAIrAUCQToMjmFjEazAmkiwbV0f2/fkl3zXexYwHOV0jNiaSDiqgKn1Zk3k47QuhCIvZK5V0U1UE8p3M8ZzB3zQMIzZDOgtCF1QR3NDmy/LDG+52K1puCwUAxdUCWyzFj68MkchIARCAmqYBUzvwC6Vmx6Fmay2DXoTWRu5v9ilO5D5jc5RM6c/dAe8PYcDy+Pgp66Zl7uR3+M67UriytOQ+i8zQXfq33sWHESG90zOLeweyn2xK2RU6nfsg71rBOiwRzDIodghrUPUhy6H+1TbleqND6P61Sfaz/3qs5BqI2hbK3uPHAGn2Oi39JUaY18e0+/rbMVrHYtFYu5PZ1KP9DuPys17UbkhDELUz48O/fY7t14vt9XF9ivthIAQEAJLTaA1HYayCQ7/iysUJw7fm588chcZ8B6GMUAdBtERC2aCbGdaW07RqSaq68WayFzXlVCca1WsWZWk8bys9sxgIBZZKBJtUVqPGqLR0ZNOeQ1ZiU1huozQqhiFxRfD4lJ/7KQ/ISAElpqAc/YIsu/rnIePhZH30OFgb1jmHS8IhOXcUvjwnXB/GO7b6xU1c+q3bgEnXecysPsK2KcPzeqOhd/Ur3wJxp+fGiL9lksQv3xGFLI4cc7fCrY0zi21f3sSxjNIvOr05lsc0KWdqFwqpmxVq//gQNvuWICxEOtW2I2236Az3E+vwDFch+cTWft6rTN20TZwsKCFFk53UrvjGQRW07/o/aPDQvvn+vpoGVO/uTZSYyxmfdJGCAiB9UMgSjXM+5PZmsh7EzmAjdH1I2PPPHkLGTOmlRqDMYdZKLJIVDZNkW0X4n6ysl72JkZHdN0IRV5QZFV8+GHwbvoYWxUtXUrDt7Oe8YZDF9RQLHJwG8eOnbz55FOu0p6KuUEEVA3tA0ZyK66fT7ysRAisYwLxl+1E+pcumbVCf98U6g+MgV0K/SeOBq6WiatOR+rnL5hHwnvsKDhKZ1S6Rs30NCbe/EW+0AbVUz/zPCRee+a8PqNUC3Pf4LQN1gkzETHZysnWSzU4P3BO+XMPBtZK+5yRZjf+oULH6K5LcYjz7/s6mN3cYp86hIHrr+g6RCCQ3/ZlmKrX91R6BY7hjlqtfb06TrzyDKR+7vxe1eYfrz+6Hd7jR2GfsxkD733Zgtv304DzZRY++O1+qkodISAEhMBxJRC4nCp2OeW8iQqOQ1C2rh955umvuV79mSB4jTGHSanA5dQmewKWV/BVusTWRP6N79xz4d9www2aiNZOUuYO1NedUGSr4u23c1rMH9mFwv54tRpLVuFnoOo5ZdQwjB4BmREDGoXBllR24Ozc6I4XejWj2KoY7FfkH8M5a4aYFY/rh1UGFwJCoDuB5E+fh8QrToX70OFAGPI/PTU/8Am7fbYTZLW7DsL/0WRzkOzvvRTsEtmusFDL/+7Xmm9ZJw0i/oId86pyZFTvqZk+O62A000Mfeaatm+3y9fXThQv5fkx+ZabYOrzhV76Fy5E/CdO6zpU7d/3ofRXdy1oOkueGqPTPF0fuuKBI98G/yqtjx4qNz4cvG5tzcB5XvdgPQtaYEtl/7li02q92D6knRAQAkJguQkEqTB4X6JCuC+R/8VJ58cOfLdcmH4UhMMEMwZD4yA1rklPQMfyCVjFRKJeyWZPqAE7vcsvh969e7cRobjcR2wR/bdaFS0r79QTfsItWykyftaQCQLbsFDklBkgswWELblNWy5OZTedE1gVWSw2XFBZJ4pWXMRBkCZCQAisCAEOiGKmKosK0NJugrxHkVIzCe5b6+ipyqJTS7Qbi8eJv+Tktpw4+I6ers16T23JwNoa5sdc8qIBDpbTrjjnj4KS7ZlE9f2nJuCPhy65/RZObq8ysa7VvUeP9B3xlKO+Bvs3W8QgC0R0SVfS71ylnhAQAkJgvRNo3ZdoNQLYsDWxXDj6SP7o4XthcBiGDnMqDBaKbE0kQ1OGrIKT8suxqlX1/Zy7nqyJfMzXlUWRF8RCsdWquL8yFktV/EQNSGvf5DT0ECESi6EbKgxGNp1w0kucWHor71dkoRhYFtlgLPkV1/u1QdYnBISAEBACQkAICAEhsEEJBPsSOV8ihZZEFoq8L9Gtl547un/fHSCMB3sSlQpFIjjKqZpUFuXjQKmctKonJEfr682auC6FYiQWr7vuOvXUU0MKOOTU6zpet+tJ0jqjPbBYHGaxaMAi0bAr6hYYGhndefoVICfr1nVoVfQb6aVELG7QS4csWwgIASEgBISAEBACQmC9EmgVieG+RBaJCjBuYexHT3wDZMYDSyLROMEcbojECWUjb5QqxrxYJRZTNWCbe+qpk3q97E2Mjve6syi2WhX37NlD9xWLdnxfxuHANnalkqo7ftb4lFPNlBksEs2IJhpxnNiOzSee8tIguI3HgW3YusjBbcK9qOKGul4vE7IuISAEhIAQEAJCQAgIgY1EIIpwSoqtiGHORMdWYfCaZ5/+tuvWDyhjxlkkAoFYPKI5FYZl8jHXKnjJZLk1HcauXbvMetmbuK6FYqtYvPnmg1Y2W7fYBTVRqiddZaWM7w5ohUFlaNgPLYojMGqEyGxOZAbOGBrZcYnnwfI9Dd8DfM6vKGJxI107ZK1CQAgIASEgBISAEBAC65TALJHIQtFmt1MF24Y/OX7gnmpx+nFj6AhIs0Vx3CIa12QmlMYUWc60o/1yNR2rsMtpoRDzr756u7/eRCIf+nVpUYzO6dbANolE1WYXVC/mJeDrTN33BizCoNbYBIPNoQsqcbi/zYlM9vTBkRMu8D1jh8FtRCyu0+uELEsICAEhIASEgBAQAkJgAxGYJxLZ5ZT3JtrkTY3vf6BaLDwB4AgiayLhiFI46htMxSx7GpYq2nW7yi6n1WrCW28BbFpPhXUvFKPANvuT37fYBdVPT8S9aiypjJ+B9gY0TCO4DTZrFosGmwm0KZHKnjI4uuNC38dssSgBbjbQpUSWKgSEgBAQAkJACAgBIbBeCER7EvnRarichgFs4E2NHbi/Wi48bWCOgsUhu5waHAn3JdIklD2tySraiXrFKg3XaicV3RMqL/DXUzqMucd5XQtFXuzcKKiH3AnHL7sJB7WUq02G9ytaZAa1oU0wZjMLRUMsFrEplsycMLRl+8VaKyeIhCoBbtbLdULWIQSEgBAQAkJACAgBIbCBCLQLXMPBa5TS7uThg/fWK8X9LArJ4AgLRd6TqMgc9Q1N8b5ER1HRRbxspZzqNmfYXY9RTjekUORFR1FQY7FJu16fjNVqJsH7FcnojPaR0xSmzdBGbyLCZoA2GWCTE09sH9560sXGqJjHKTM8QPOexUYkVAlws4GuMLJUISAEhIAQEAJCQAgIgTVHIMqTSJwGQxGUDdg2gUjXJ57bd69bqx4k4ChgjhrD1kR1NLAkGk6DgbwhVeR9ifE4VWOxoXq9PuRFUU4ZBhGFkS/XWVn3FsVWqyJHQX34YVi8X9H3rZjr1hM1qqaVMRmjKGfYDdWnYSiz2bCFEZpTaAw7Tnzrpm0nXWJgxz0OcNOIhKo1myz5PxaO6+zMkOUIASEgBISAEBACQkAICIE1TCAQiByShQClgCjCqW0rELza0UP77nHd2nMEMwGoo0TmKDQdMZaZINAkaZPXRMW4SZQcJ1a1LL8e7Utcj1FO5x7qDSEUW8Xi7bdD8X7F1AHfNsaJcXCbehVpsv0sfOQMmUEyjTyLgVg0wwCGbSc2Mji64yLLTmRd18A0XFFZIAYBUSXX4hq+jMjUhYAQEAJCQAgIASEgBNYTgVZX02BPokUgToHhEHyvWpgaO3Cf59bHAUwANMEika2IhtQEGZoCWxI9qxBLoMTBa4jcenmH5a33fYmt58CGEYrtxCIHtwGmY15MJ5RB2tV+FloNKOihKMiNMWaYrYpkMAQyg7lN286JDwxu1y5UsGdRG2i2MLJiNAQtpsX1dI2RtQgBISAEhIAQEAJCQAisMQIqMCUadgmF4hyJQeAagnKga9NTB/NHDz0CQ1OGMMnWRCKaiILWaKhJKD3tKKugiUWiqgID9Y0QvGbDWhSjhUfBbaL8iuPjJZsjoeqaSVhkpSKxyJZF5ZshDT1MijYZbYaIaAgwuUQis31gy/azDKw451kMxSLnWmTrYuiDKnpxjV1RZLpCQAgIASEgBISAEBACa5pAlPqChSIpQAXBasI8iQS/Nn344N5qtXgQoLwxZpIUTRptjiqoCW3RZGBJbIhE3/hlFacqRzgdGUl76zlfYqeDvqEsipFVkR+j4DbZbN3iSKjklmJzxSLIz5GmId67aGCGCTQEwqAxGFRG5Qa37Tg3lsgMc5Abti4aPwp0I3sX1/RVRiYvBISAEBACQkAICAEhsGYItO5F5OcsDonzI1oUBK2pV4sTU4cOPKxJ54kwBYMpAzNJ7HIKmjTKTMJY+bki0TjpOkc4ZZG4EYLXbHiLYt9i0ZgMaZ01GkGQG8UCUZshQ4qtioNkTM4QDaQHhk7ODo2erDVsDnITWRejfYvsjirBbtbMdUYmKgSEgBAQAkJACAgBIbBGCMwIRMOhR6FYJEZWxMDlFF5hcuyZ0vTkM2TMtCHKAzRFRgfWRG0wFQStUcgbpQoOUTGyJG50kcinwIazKEbnPbugdrIsGlfFvbpKWainYaysUX4OhgUjBg2ZIaX5EYMwlAOZrLJjw7lNo2fEkplB3wOxG6rfcENld9TAD1UE4xq55Mg0hYAQEAJCQAgIASEgBFYzgbkCMXAzJYLVcDe1bJh6pTiVPzr2uPbqEzBUAJk8GUxphSkyNEnAFAh50lYe5Bd8xEp2TJfJ0TURieHR37BCsZNlkfcsRgFufNdP2qRSrtFZMiYLQi5wOw0EIwtF5GDMAIgGAJONpTJbskNbTrGsRMpv7FsMLIysExuCMdq7KHsYV/PlR+YmBISAEBACQkAICAEhsNoIRHsQo4imoUAMXU3Zkmgpgu9Xy4XJw0/Xy8XDABVgzDSIpgNRyEIRmGq4n+YNUcEhVfCMLluOVYkC10R7Ejeiu2nrMd/QQrGbWFSq7Ght4p7lJX1yU2SQIbYuGn8AhgbYugijcyDKARiAwQBbF41BOpUZ3pYeHN5BtpMMIqI2LIwcGTUUjAA/cGpOcUtdbZcgmY8QEAJCQAgIASEgBITAaiEQWQ/ZF1A1zFwsEDmiKVsQOeUFRzY1nlspTU0cKBcnDhGhFFoRMQ1gGsbkQSofWhHNNJE1bcgvGELRMk7Z9u2KUlTTOuWKSJw58hteKM4Vi+PjuyjKs6hUyvG8Qtx3TML37KQPN01gwaiyRvs5KDUAjRyUCYUiMGBgMlzHgFLpdG5LcnB4B1sY2bLIVkZWiBwZNdjD2EY0hvNZLR9NmYcQEAJCQAgIASEgBISAEFg5Ak2rIYh3bjXFIT8JrIdBtBoE1kO2JLIFsTI1caBUyh8mmLIBigQqBgKRhaKmaSjkofU0KStvSBe4jgWnZNlexXKpatvZmtZlN8qTODKyx9xwww18p86CdMPemYtQbJz30Z7F66+/nm6/HYrFYu6wbQEVJ6+dGHzEHeUlfddL+UTpwBUVKgvSgYWRYLLshqoVZckgC4O0gUmDKBlLpAczA8PbnEQqZwxZvH+RlaLWoUWxKRqj7YwNtUj8AWHzo4jHlbs6yUhCQAgIASEgBISAEBACK0Jglijke15OaxGIs8bwDXHIryo2J3Kqi8CaaHy3Ws4XpycO1aulKRhTIVAJhJIhFJQ2BXY3Nex6SmYaRk0DusCuppYxJcuxy662K7BQyym3DiTd/BbPP6HyAv/yy6F3794d3IBvZJEYrH9FzoI1MshcsTg+vkcNDMCaUDWb02dwkBv4FGdXVOWplCZKg/cvhiIxq5UK9zIC/C8DIM2CEYSkMSZJipLp7Kat8XRmyIonk8aHYrHIJsRANPIpGRgdTeiWGv1+EbioBnKR35llcgw/TlKEgBAQAkJACAgBISAEhMDqJBAZPoLZBWKQ72wbd7GNW1kWh6EFkQKFEqa5COvzI1nQfq1SqZWKk6XC0eeMNhUiqsCgwgIRCP6xJTEQhEprFouFUCyqgjKmpG1dZldTWKYWBa0Z1nFvehr+yMguLSJx9vkjKqPN54kFI1sW9+zZQ089NaQ41yIHueF9i8ZUY1pTXDsmoT2dZOuiAqUJJuMbkw1cU4GMbjwaIE2EtDFIgsUiIQEgQcpOJLO5kUQyM2g7yYQB2UFwVN7HGAW/CQ2PkUoM3+MPTosBXNxUV+cFUWYlBISAEBACQkAICAEhEBJoWgj5trZxL8t7DMM3Q5fS4GlgLQz3H4Z7E43nuZVqtVKcqhTy40Z7VQBVY1AFUYUIFWNQIqDE7qQKKPJj4FoaisSihimxFVHZqqJcqiplakSJ+tz9iLt27TJsSdzoVsTWc1aEYodPcKtYjPYtsitq3vZs5dkx0tVYYF30/aRROmmRSvk+gj2MCn46FIqUZqGIwPJoUgbgoDhJNMQigDhgYgZwYolMNp5ID8biibRyYnFSjg1jKBSP4STDx9C82HwaHcEN6z0tl2AhIASEgBAQAkJACAiBVUkgEoChATH0g2v8rzWCaSOKqTHa9bRbr9Vr1VKtWpqqV4sFAlyA6gBqLBJhUDWECgFlEJVhTEMomhILRQ0rEI2WhZJvdJm0qliWVetrzyAAAAhwSURBVGErolGJura9es6zvcjVlPcjikhsf/aIUOzyqerkijo9DYuti0SuU9KIw1A8ZpmE73sprUxSAWmtVSoQjKRYIPKexhRAqcAFlZBkqyIMEqBILFIMxjgEOIZgEyknHk9nnEQ8ZVmxGNmWQ8q2lbJs4vBOFG7pDT5zwU8yohRX5QVSJiUEhIAQEAJCQAgIgQ1LINgyFdg9Aj85Ds1hfKO17xntecbzXd+v191qrVyrlYqsFMnAMywOiVyCqQci0aAGQmRNDF1OOXANUZmticroMgtEpfgRJaWpYll2ue5TFWRqaYWaMY7LVsSBAfjiatrfCSlCsQ9Oc11R81ueVZF10TZ1xyrFHR2rxo2muPGRMMYkQsEYCkMDlTJGpxSZpNEqCX4EkoqQ0IaFYvAvRkAssDAa2AAcjvrLz4nIgjEKRMrAKDJsmDcsFlu8uoNPoBzPPo6nVBECQkAICAEhIASEgBBYXgIzVoyGb1ywUZHYX04TSMMYDSJtjPGJ4BkDH4DLz1kcGoCtiIElURFq2qBKQAWGKqR0RfMjqTJBl1k4apgyC0QiqpKFKilTU/VEzU/XXI9ibmRFzB0+UXN+RLEi9j7+Iix6MwpqzLUuFgoHifcuTkwctBxH2wUkHQt1B9qNsWAE72PUJmGUSZrAcsiPJqEMC8VATCYDi6KiOIyOAxSIRf5nYBwichAKRnZBtcCikT23jVFELBSDqDbsmtrY7juzJ7jPJUk1ISAEhIAQEAJCQAgIASGwPASaEWz+I/hHEL0miLLB9sVAIBJnF2dxSMQC0UMgFo1LILchEOuAqYFUDZofUW0Er6lq0oEgDEQjv66J8yBWwfsPlalBOXUfMTeLiuu6yhse3u4XCjE/m91uJGBN/4dbhGL/rGaJRQ50w3sXo8io7I7qOK5dtnw7EowwVowFY924gXsq/7OUCV1ODcUN+LmOs1jUoBjBxABqWhUJxgmEIsgygEUAC0ZlTJhGhvcwBt6ngVgMi1gVF3BApaoQEAJCQAgIASEgBITAkhOYtSeK71Q5iTgFoTc0URDgn+M1+gS2IppAKBpQ05oImLoB1RW7ngYiUdUIoRspC0ZfR89NLUZOjQUiyK9HAjHlW57rOl6rm2nrXkResASt6X3YRSj2ZjSvRqt1sZ1gTCQmLbYwOlXfrpLnELwYQcXI+DFAxVgkEumYUYhrFoc+i0Md1OFHTcphkUgE2+jQ9ZT3LRq2JhoWiybYnxjGQAUpNuJzxtG5hYWkFCEgBISAEBACQkAICAEhsNwE2iSmJ62NDl/nPVONfYqkDcEntiryfkR2PVWB62kgFpXRLqDqBrrOj7BMXYHqpHmfoaoHYhG6bsgK6hjY9YSxXTdheWxBrFaHfBGIS3OwRUgcA8dugrFUyqty0rLiRW1blgkEo6Vg1+tOIBwVtENkOx78GJFxyKgYkXY0701kcQjlaIKtjG/xozFkKd6jaLTFBkUViEV2PWWB2BSEcjyP4XhKUyEgBISAEBACQkAICIElI9CItEiGtyKy66k27HKqDZHytQk0pK8MPE1W8GigXaPgKcA1RrmGdN0Ycm1YdWM8V0O5LAxjMdf1NTwWiL5PXi2jvFTF99PpnI4C1YgF8diPowiLY2fY0SV1ZCStCoWjqpggK1lSFrulxmplq24ZOxKNljK2RbBd0o7yjK0VbEWwfR+2pcjytbEVacsYUkaRpYxW7GrKf0OZwKpoGfZKDUvDyrgEq5IuhIAQEAJCQAgIASEgBITAwgmE1sOw+OSH1kTNgpH3J8JoUpo0B7ExWhvlW4o8XxvfsuBpA09peNomzzHK9Q08X5MXicOYT149nvLZvbSS1n6mavxsdpMeHy/pkZFdWgTiwo9XpxYiFJeOZVvByEFvOErqyFRGRVbGTC2uqrGCZZdhu46yPJcsW8H2fLJsq275vrJYPGqjlFaeZWmytKWU0VpZWinYbEkMRSIaIjGybkbLsWesjEu4QulKCAgBISAEhIAQEAJCQAi0J+C1CESu0dwH2BCLwd8emxG1Jr7N9bX2Ff9p+4q0ZlFoWdr3/JhvW8b3NDzbMb7jat9LwUvUs34xXtOR9XB8sKg5iikHqRGBuPRnpQjFpWca9NjOLXWuaKxlEypTLatq1bLcREyxtdGP28p1lRXzXKVjttK+p3xtKcf2lNYWu54GIhG2JidIu8hj6RmLouxLXKYjKt0KASEgBISAEBACQkAI9EOgNVBMkN0tyHvhsq3Q8Hv8mlK+dj1bW8rXyrK1qnu6bjvacbRv1TzNVkOnWteJhO8XEykdL1Q1u5aKOOznCCxNHRGKS8OxYy+tlr7rr7+eouA3LBqr1Uli99RarURsbYyEo+9nyHUrisWj1h4l3LoyJk464ZPWmoz2SZt4KBI1B4wKS1zPCMZlXpZ0LwSEgBAQAkJACAgBISAEOhKoqVAgciHFAfw5FGPN8HOllFFVyxDVTNWJaaVsw6LQcZLasoqmVRjG42nDbqWJxJBpZzkM+m8TSEcOzbETEKF47AwX1EOrpZEbzhWOtZOKdEJllHhvo+vWyPdz5A3WyPfc4FjlPJdYSPJz3w9fiwqLygVNRioLASEgBISAEBACQkAICIFlIMDir7Vby3KCv1kI5u3Gc9sx9lTcWFbeOE7c8F7D/ckxE9+XMXOFIbfdvXt30IcIw2U4YG26FGGxMpw7jtJOOHJlztHIVkd+zpZHFpD8nEVk1BlbIo/z9GV4ISAEhIAQEAJCQAgIASHQkwBbBqNKLAb5eSQI+XlkLeTnu3btCt4XYdgT67JWEKGxrHgX1/ncwDTsshr1xBbIbr2ywFzcqNJKCAgBISAEhIAQEAJCQAgcOwEOLNOtl0gItorBqL5YC4+d/1L18P8BG2HtzbBbZQ0AAAAASUVORK5CYII=",Pi="data:image/png;base64,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",Wi="data:image/png;base64,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1NZi2U7FPPGFO60X9iiZj9hEpKBwHOdOIVZCVnMrikxrzfJC7fToL0efrRtARya4kET56cXckCEgFQMRwmobjbPKKBouTGKU85Vg2i6cPYfGZB9mSuJnGFzZm6ZLDm63NLAOYAkwE3OBnxPWQEADVNbgvrIENKMYLemN2tYg1I05WLFxZ9tLwCZ6dgE5MBuFK8ajM6n+M18cvk0YYyBFoDqM/o5IUgRIONYy4xBlEOW75Hm5n+rQ1r3d3CQ1RwWZlvcVMC5SGQygmA8T1pFrtkgWVTyTN6ngFIGvpWNdjWZhTXds/4Mf3LuIBpbscXtV2Rhpn96CioqoksRvMxOSyLlBPJsllQWSR1zhcg3UHoCFY/QldMBQ0qje1mQsaZKkhmjDdt/1hY01mppGiqbyB5bZrV0U8VAMAvKg2FCKAl73kFQblhihYSwEoRTY2qxEOs2ZxJrhHZJpRTOsy5+sMuBThicCMQzl1GdeMXS6Kc/+vApAGQ69ha8PXvQrTKomJDIKpJEgqKk4UvDLHuLzrUYw7PAV3wyFatdY8ZqohG5hEADKZERrjGDxFSwgDSxMrChrDa3tS3pnPdaLNqKHbRoVUDke11bSBuDTKCeCTlPKtfSTsYidIQpKIOKIZEmjDUGEiPAT2n8zx5CLZ1fNb3D3TpVCEjDSRNkqz5W33zC7u56NDAfCuDxN1jiMHr9GAE0ohtdWO+K4aDRKHswKbySdbBKnkBqMkRzDl6+aczXGiSmG4zVMplBB6K0anDdTjdr7lGzm9SKjjbdLlCRds+UyTVqS/YZKxPvsuNyLWPNmzxqAxaZJg4TiLVUYjWFqNt2FeBYUqpIjMTGrIQQ6yU2vT5hZwZRrRvMjTF+2CPCDEGwljE8PwTV4lvVYQynKxV0ywi+q9DY9zRWTjxkG9x9AbSbxQd6wiFZCkR9FUvVKhIr45JG2OUKkwLFZaRhnhw/+YPg1re+iV7f00eXCeVzQvZZ7aoMShVhHq8ZXI+kWBUMux3rniiINZwV4JIxnuQ8jqqapoqF0YIprN1n5Vtm5RmTiDOJZLMdWGT9ZxvqprYb0xQHts1uwn5iIwek+E8j5zCnn8KwVMhOjtEdURtb//fPcjEVYa8uBSnex8LJ++xkuBdAZvr7n2BAEXxEmD05RoltbE03KqkksVpfWnrnpV3htz8IH5Nedenk2GDt+CS7GbLfMpkp3QjcyWspvpxTgzHlMvNeDYrrUlzTyCctrTZkbe0QYVXrbUpruWf36o7WG1u+eX1rgFvb0MrQXP7dI0UJrAzKFTL7n9T8pyOJ/On3jlD6e5e4qxaFlT97ttB5NGjj869fYq8UYwhJLTz5XGnxbta+A0ALhNHxqJDe/Mkxqlkld/w8eupxVI4THf3shdKcbfl3z3A3JVX5v4525VsnXj1VH/aVesGQFjHogzOO/1sazY3mBWOGHUZfLuGYqjGwmskmu+WmsXXFpA3di6YIzE2N/OYuEKyP0fJQbGnLhTO2noIxuT3ZvCzpbpYQDozp7zKmuB/mL4nSd//82eZ8vv5BdQDlUvzmE5SnQje7LND1DL036rh5uiOWuAHgt2w6cgFD4wdxrc33v32Oe0iE5TjhLF37f/MTr7yS28ffPtsY/dNDhY2s/6tvr/WKwP+SlXBsFM0omrmpnKOWnXKgtLGnGKwbVxAGwgiLJcWGERkSkSaTshCp0TY/YqwWzsFr6g+R54+aV24kWnNPEoxj2T0lhIZE56mcTQFwjOkpEgZHtP55QZtVn7y/+sFhyiPWx5llfKYx9OfPFfMs3v0uK9bKw9Euf9mfPfkS5VtKcgDtttx9Ejt/+DRdaX98/G0OskGU6/UakuWwMfHK4MbBrC+/WxvSYaO+8Y6Z/t7fNo4YkkMi5ZrxZHWJoWaF81wk8w3nOSA2T2TlojSmJBg+wE5Ohe1Dl02r1wYLmoi1DwTmcQQ71tyKyY1utktgbfBcStJarMRsJxW25kGKUfbYDPgwtYE0+6AIU4fBjZ+MF0+35/r1d7lLKbg/PEI2CPHgi5m+dQ57ZlJMW0rMAfzW2XDv+EF/g/LsO0t9IoFs6Cqv/u3F9dP/7Mht4X+CxVd/J348XfWuTLTTg8xi7Px5NTk2thEmOnZmpXtZe0+tee7nEsgdaZ4YgW5TmKUignCs2SENHOvbkmFlg/R5VMZKtHyVLX5sg1wGgjLNyEjkyiTVjKQl93LPh6zxDFOUBmWXIX1j5rqQXS5lZoWkbdC51n3J+bCtFCzxjFTjx3561LPJ9g55zHR8ErvqEr6JoqRary39zRcH8jMH9iTCUAEjPz5A1+jYW+wXBtH940000YOWwjbSK+M9quTNPUh2tNs49haXlsrJaCTFrox5WEvZkwIFFvC0gGLOFUrT3G6GAJtecvvothVqzeCC1cqCGErCuNJq7KbCYseYzAHqLnjVM7xYMKYqbGisGWtcUTK78JND5dYxOqbfPofuRMf9dxDCxqSZvn0JO1ODUqNeEzqj5YnnSxva+qsX6iPq8swSfe1sddBLS7UfHqGHypHNAP2NU/VhSbIYpt78e0dR/TTukV394XAlyIwbVIUqpkyBkZmfwXUEZ4pABZfE3tz+a4lBK/zIilGtMyVFIoyOpGGdmzSy5VdblIVi5jQ2RHOOKVz/2fNYzsd24oQ49juvdzmIB9I0q3aC0jk/a/+mh7En0lBxNUbseitvH6KNM4zHJrmEsOrT187y4FKK2ulfEcC8U+sLv18fMkaVtTJxhGDx9Pivf6T082e4u5w0jrVZ/o5oTd6xJcsmiVrFRMwJaVOVjCUpyws/u4bVfBvbCRbHjqOAJOrPEnKN762+fRAL911sZnr1I+xgiUoaxZwmSMu6vvjmC30bWjoHUMGnF9/mwKvUKxNjt8nzYXL0QeWWqrrjRr/hLPeFTepEQLj+3vXeOo63IXg0N+nZv17tKbvOSyYPD0ojODNQMkPGKQuOQSZURtVj1o1a2KhPLgyEOP8dPv7663RpYrVcLHtdpIVvN55r1vVVr7D40EAqM33lMrrcGN2hgI84ho5NY+nqlbnJ127L969+UB9J1+aXcyH9xfejfT8/4l3dqo3XnQC/eIOD7BYqxGsBsa/syUomN9MJa+GZpJHpBHFXMgBk1TJ0uXrbCK6WT9PafEV4j+1nPwTbsmoZ5F6eVssjvqo4nuuk0uOCcGBIJZwoLwYiMlnBcxpZUlh9p2VuPApRjM9woRzDVQZdWYYCasgaWXWlr7dce7MjAGvlf9GJRv/qUHAlB3DPW1f80b7hkZ8/69mNh1v2myr3HTQz7X9zyq04fb5XcDwm6SQ6kqkrpJNBuL5POrO7PlyYNCHhNBNNUnkm02y0ZO0qG70O0jhdidfml6Kpb+x/5ADAHeOyG+5OQrz6OQwuNrBW9NDHaVJmxVF4bXm2vG9YTFinon29wfKlffGetcC7Yal5w5Aem+RSJYyH3r7sbdn210dZ9b+zOvYoIsDHLuCxMKuHblo0UiV9mWGzTt7N3mXoq7iKq6/stafH8ssa0nFXvCdhb6atM+5w5ewO+6HVeJeqV2fbNs/f2QQ/g47H3mB38jWk46egCgGeyLA++87JrtXfeK0xpOumb13TApeLK0KvFT882N1xZJtp/BS6lIwHl0re9c5o9qbBhKPvhTs5IGe54M9sVeh7A48Tv1z5LTpq+gARIdry/KWzPPj2wfx0pj52iUfTRlyMUu/y6R9Bv/wPMJolSWlp1v1k6hsUHzzLxXOHKPfT25dVsokbj2SJic6+FMw8MJjQ+aFdLXc/hpVek4Yqs6d/9J0IJ078WoeUX5zk3no1LJx7oelHWy1bzSrh1VcoZxPLAVf3Nu/bLNP2dCz7TByDbsvoOyZrzairGJrY2wxLvXyBR+xvVvzNczTz8gUuG8aepI5PLNuNvTVfCnorexK4V3Kwftlu/stGnRsumz8eVPCieAcTp8L4lmU33Yz00ICqHfhKD4akjgNiXY8uX12aPH4g/bTKxh5CrITJk6cPeh/m6DDTkXPJ2KlD7mTTa2P6wtnkwPuf95o/NsRM4x8mT50+6F2wj+OneNgNEL8zRvm+5y98yLsiXqu1We35s+Feqfy1dvnh8/yYTqHPHaJpqzWB5PFy1Z3aAOpuTrCKbQpusR72I98A79XPrkzMoRVAuR+1PxTAzg+PvrvUlbiFHmJytPTCpQaWp6eR4DXrJzxYe1uK0Qpp2w6zSsuV6DrzNOURELtQ4RD2vneALrUBfO4XydMfPOt9ZJ/tAgRhvPPDg/7lvPwNlof3154681z5fHOMTIfeqz5x9mj5Unss46e4cvoI3efIVzP7cvAcfCcN+zIlfAo5CXv8pY+fptY5+/sKiY2CTwVgZ3Pjp7iQJWGPdoVv3wvHxI0wXB8NexsTCycZrx1/KKh3DK/1m1udhu7Rd7nrvRdux+ieusDlzslZUB9NRjPhjZNifN8+oeXjRam7uzIV+0269xoqu7Vy+sjIr+TK/soA3r02FtDI1Lscp+jHiB17LoM9TmWqo9jEDe96bzQwMGEmFhYY588zXn/dJjW3xua0ttx3QDgAOjYAmg6npBnc7zuiUXSV9MnmcJpRijQjHRZQWPu1XNeOyW8ZgJsRu5U9Wq4WY90dQESuNKQyBWlzIEgSCOUaqWGEwyatRSaVnk0WG+WykV7R1Gs12MPaRubZY8oUCS0LQjVWlaMCweRRpmJpMhJuChIFNmkIY6MI7JkkoKQhdXf9fgrg4Qz68BqfKYAP7z5XFnL/FFShAVVLV1TR7RFxUpVGEBVkM+Db0CUWpspOwiZ0tS45PVmjgGxqekI/TMg/0hh+jUr/HxQyzAyn02DWAAAAAElFTkSuQmCC",_o="data:image/png;base64,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",Ho="data:image/png;base64,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",Iu="data:image/png;base64,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",If="data:image/png;base64,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this.x=a.x-x.x,this.y=a.y-x.y,this.z=a.z-x.z,this}multiply(a){return this.x*=a.x,this.y*=a.y,this.z*=a.z,this}multiplyScalar(a){return this.x*=a,this.y*=a,this.z*=a,this}multiplyVectors(a,x){return this.x=a.x*x.x,this.y=a.y*x.y,this.z=a.z*x.z,this}applyEuler(a){return this.applyQuaternion(yB.setFromEuler(a))}applyAxisAngle(a,x){return this.applyQuaternion(yB.setFromAxisAngle(a,x))}applyMatrix3(a){const x=this.x,y=this.y,E=this.z,z=a.elements;return this.x=z[0]*x+z[3]*y+z[6]*E,this.y=z[1]*x+z[4]*y+z[7]*E,this.z=z[2]*x+z[5]*y+z[8]*E,this}applyNormalMatrix(a){return this.applyMatrix3(a).normalize()}applyMatrix4(a){const x=this.x,y=this.y,E=this.z,z=a.elements,ee=1/(z[3]*x+z[7]*y+z[11]*E+z[15]);return this.x=(z[0]*x+z[4]*y+z[8]*E+z[12])*ee,this.y=(z[1]*x+z[5]*y+z[9]*E+z[13])*ee,this.z=(z[2]*x+z[6]*y+z[10]*E+z[14])*ee,this}applyQuaternion(a){const x=this.x,y=this.y,E=this.z,z=a.x,ee=a.y,te=a.z,ne=a.w,ie=2*(ee*E-te*y),ae=2*(te*x-z*E),oe=2*(z*y-ee*x);return this.x=x+ne*ie+ee*oe-te*ae,this.y=y+ne*ae+te*ie-z*oe,this.z=E+ne*oe+z*ae-ee*ie,this}project(a){return this.applyMatrix4(a.matrixWorldInverse).applyMatrix4(a.projectionMatrix)}unproject(a){return this.applyMatrix4(a.projectionMatrixInverse).applyMatrix4(a.matrixWorld)}transformDirection(a){const x=this.x,y=this.y,E=this.z,z=a.elements;return this.x=z[0]*x+z[4]*y+z[8]*E,this.y=z[1]*x+z[5]*y+z[9]*E,this.z=z[2]*x+z[6]*y+z[10]*E,this.normalize()}divide(a){return this.x/=a.x,this.y/=a.y,this.z/=a.z,this}divideScalar(a){return this.multiplyScalar(1/a)}min(a){return this.x=Math.min(this.x,a.x),this.y=Math.min(this.y,a.y),this.z=Math.min(this.z,a.z),this}max(a){return this.x=Math.max(this.x,a.x),this.y=Math.max(this.y,a.y),this.z=Math.max(this.z,a.z),this}clamp(a,x){return this.x=ta(this.x,a.x,x.x),this.y=ta(this.y,a.y,x.y),this.z=ta(this.z,a.z,x.z),this}clampScalar(a,x){return this.x=ta(this.x,a,x),this.y=ta(this.y,a,x),this.z=ta(this.z,a,x),this}clampLength(a,x){const y=this.length();return this.divideScalar(y||1).multiplyScalar(ta(y,a,x))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this}dot(a){return this.x*a.x+this.y*a.y+this.z*a.z}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)}normalize(){return this.divideScalar(this.length()||1)}setLength(a){return this.normalize().multiplyScalar(a)}lerp(a,x){return this.x+=(a.x-this.x)*x,this.y+=(a.y-this.y)*x,this.z+=(a.z-this.z)*x,this}lerpVectors(a,x,y){return this.x=a.x+(x.x-a.x)*y,this.y=a.y+(x.y-a.y)*y,this.z=a.z+(x.z-a.z)*y,this}cross(a){return this.crossVectors(this,a)}crossVectors(a,x){const y=a.x,E=a.y,z=a.z,ee=x.x,te=x.y,ne=x.z;return this.x=E*ne-z*te,this.y=z*ee-y*ne,this.z=y*te-E*ee,this}projectOnVector(a){const x=a.lengthSq();if(x===0)return this.set(0,0,0);const y=a.dot(this)/x;return this.copy(a).multiplyScalar(y)}projectOnPlane(a){return pv.copy(this).projectOnVector(a),this.sub(pv)}reflect(a){return this.sub(pv.copy(a).multiplyScalar(2*this.dot(a)))}angleTo(a){const x=Math.sqrt(this.lengthSq()*a.lengthSq());if(x===0)return Math.PI/2;const y=this.dot(a)/x;return Math.acos(ta(y,-1,1))}distanceTo(a){return Math.sqrt(this.distanceToSquared(a))}distanceToSquared(a){const x=this.x-a.x,y=this.y-a.y,E=this.z-a.z;return x*x+y*y+E*E}manhattanDistanceTo(a){return Math.abs(this.x-a.x)+Math.abs(this.y-a.y)+Math.abs(this.z-a.z)}setFromSpherical(a){return this.setFromSphericalCoords(a.radius,a.phi,a.theta)}setFromSphericalCoords(a,x,y){const E=Math.sin(x)*a;return this.x=E*Math.sin(y),this.y=Math.cos(x)*a,this.z=E*Math.cos(y),this}setFromCylindrical(a){return this.setFromCylindricalCoords(a.radius,a.theta,a.y)}setFromCylindricalCoords(a,x,y){return this.x=a*Math.sin(x),this.y=y,this.z=a*Math.cos(x),this}setFromMatrixPosition(a){const x=a.elements;return this.x=x[12],this.y=x[13],this.z=x[14],this}setFromMatrixScale(a){const x=this.setFromMatrixColumn(a,0).length(),y=this.setFromMatrixColumn(a,1).length(),E=this.setFromMatrixColumn(a,2).length();return this.x=x,this.y=y,this.z=E,this}setFromMatrixColumn(a,x){return this.fromArray(a.elements,x*4)}setFromMatrix3Column(a,x){return this.fromArray(a.elements,x*3)}setFromEuler(a){return this.x=a._x,this.y=a._y,this.z=a._z,this}setFromColor(a){return this.x=a.r,this.y=a.g,this.z=a.b,this}equals(a){return a.x===this.x&&a.y===this.y&&a.z===this.z}fromArray(a,x=0){return this.x=a[x],this.y=a[x+1],this.z=a[x+2],this}toArray(a=[],x=0){return a[x]=this.x,a[x+1]=this.y,a[x+2]=this.z,a}fromBufferAttribute(a,x){return this.x=a.getX(x),this.y=a.getY(x),this.z=a.getZ(x),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this}randomDirection(){const a=Math.random()*Math.PI*2,x=Math.random()*2-1,y=Math.sqrt(1-x*x);return this.x=y*Math.cos(a),this.y=x,this.z=y*Math.sin(a),this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z}}const pv=new ft,yB=new pc;class ro{constructor(a,x,y,E,z,ee,te,ne,ie){ro.prototype.isMatrix3=!0,this.elements=[1,0,0,0,1,0,0,0,1],a!==void 0&&this.set(a,x,y,E,z,ee,te,ne,ie)}set(a,x,y,E,z,ee,te,ne,ie){const ae=this.elements;return ae[0]=a,ae[1]=E,ae[2]=te,ae[3]=x,ae[4]=z,ae[5]=ne,ae[6]=y,ae[7]=ee,ae[8]=ie,this}identity(){return this.set(1,0,0,0,1,0,0,0,1),this}copy(a){const x=this.elements,y=a.elements;return x[0]=y[0],x[1]=y[1],x[2]=y[2],x[3]=y[3],x[4]=y[4],x[5]=y[5],x[6]=y[6],x[7]=y[7],x[8]=y[8],this}extractBasis(a,x,y){return a.setFromMatrix3Column(this,0),x.setFromMatrix3Column(this,1),y.setFromMatrix3Column(this,2),this}setFromMatrix4(a){const x=a.elements;return this.set(x[0],x[4],x[8],x[1],x[5],x[9],x[2],x[6],x[10]),this}multiply(a){return this.multiplyMatrices(this,a)}premultiply(a){return this.multiplyMatrices(a,this)}multiplyMatrices(a,x){const y=a.elements,E=x.elements,z=this.elements,ee=y[0],te=y[3],ne=y[6],ie=y[1],ae=y[4],oe=y[7],le=y[2],ue=y[5],he=y[8],xe=E[0],ve=E[3],me=E[6],Pe=E[1],we=E[4],Me=E[7],Le=E[2],De=E[5],ke=E[8];return z[0]=ee*xe+te*Pe+ne*Le,z[3]=ee*ve+te*we+ne*De,z[6]=ee*me+te*Me+ne*ke,z[1]=ie*xe+ae*Pe+oe*Le,z[4]=ie*ve+ae*we+oe*De,z[7]=ie*me+ae*Me+oe*ke,z[2]=le*xe+ue*Pe+he*Le,z[5]=le*ve+ue*we+he*De,z[8]=le*me+ue*Me+he*ke,this}multiplyScalar(a){const x=this.elements;return x[0]*=a,x[3]*=a,x[6]*=a,x[1]*=a,x[4]*=a,x[7]*=a,x[2]*=a,x[5]*=a,x[8]*=a,this}determinant(){const a=this.elements,x=a[0],y=a[1],E=a[2],z=a[3],ee=a[4],te=a[5],ne=a[6],ie=a[7],ae=a[8];return x*ee*ae-x*te*ie-y*z*ae+y*te*ne+E*z*ie-E*ee*ne}invert(){const a=this.elements,x=a[0],y=a[1],E=a[2],z=a[3],ee=a[4],te=a[5],ne=a[6],ie=a[7],ae=a[8],oe=ae*ee-te*ie,le=te*ne-ae*z,ue=ie*z-ee*ne,he=x*oe+y*le+E*ue;if(he===0)return this.set(0,0,0,0,0,0,0,0,0);const xe=1/he;return a[0]=oe*xe,a[1]=(E*ie-ae*y)*xe,a[2]=(te*y-E*ee)*xe,a[3]=le*xe,a[4]=(ae*x-E*ne)*xe,a[5]=(E*z-te*x)*xe,a[6]=ue*xe,a[7]=(y*ne-ie*x)*xe,a[8]=(ee*x-y*z)*xe,this}transpose(){let a;const x=this.elements;return a=x[1],x[1]=x[3],x[3]=a,a=x[2],x[2]=x[6],x[6]=a,a=x[5],x[5]=x[7],x[7]=a,this}getNormalMatrix(a){return this.setFromMatrix4(a).invert().transpose()}transposeIntoArray(a){const x=this.elements;return a[0]=x[0],a[1]=x[3],a[2]=x[6],a[3]=x[1],a[4]=x[4],a[5]=x[7],a[6]=x[2],a[7]=x[5],a[8]=x[8],this}setUvTransform(a,x,y,E,z,ee,te){const ne=Math.cos(z),ie=Math.sin(z);return this.set(y*ne,y*ie,-y*(ne*ee+ie*te)+ee+a,-E*ie,E*ne,-E*(-ie*ee+ne*te)+te+x,0,0,1),this}scale(a,x){return this.premultiply(HC.makeScale(a,x)),this}rotate(a){return this.premultiply(HC.makeRotation(-a)),this}translate(a,x){return this.premultiply(HC.makeTranslation(a,x)),this}makeTranslation(a,x){return a.isVector2?this.set(1,0,a.x,0,1,a.y,0,0,1):this.set(1,0,a,0,1,x,0,0,1),this}makeRotation(a){const x=Math.cos(a),y=Math.sin(a);return this.set(x,-y,0,y,x,0,0,0,1),this}makeScale(a,x){return this.set(a,0,0,0,x,0,0,0,1),this}equals(a){const x=this.elements,y=a.elements;for(let E=0;E<9;E++)if(x[E]!==y[E])return!1;return!0}fromArray(a,x=0){for(let y=0;y<9;y++)this.elements[y]=a[y+x];return this}toArray(a=[],x=0){const y=this.elements;return a[x]=y[0],a[x+1]=y[1],a[x+2]=y[2],a[x+3]=y[3],a[x+4]=y[4],a[x+5]=y[5],a[x+6]=y[6],a[x+7]=y[7],a[x+8]=y[8],a}clone(){return new this.constructor().fromArray(this.elements)}}const HC=new ro,bB=new ro().set(.4123908,.3575843,.1804808,.212639,.7151687,.0721923,.0193308,.1191948,.9505322),EB=new ro().set(3.2409699,-1.5373832,-.4986108,-.9692436,1.8759675,.0415551,.0556301,-.203977,1.0569715);function uR(){const b={enabled:!0,workingColorSpace:Ut,spaces:{},convert:function(E,z,ee){return this.enabled===!1||z===ee||!z||!ee||(this.spaces[z].transfer===kt&&(E.r=Ng(E.r),E.g=Ng(E.g),E.b=Ng(E.b)),this.spaces[z].primaries!==this.spaces[ee].primaries&&(E.applyMatrix3(this.spaces[z].toXYZ),E.applyMatrix3(this.spaces[ee].fromXYZ)),this.spaces[ee].transfer===kt&&(E.r=CA(E.r),E.g=CA(E.g),E.b=CA(E.b))),E},workingToColorSpace:function(E,z){return this.convert(E,this.workingColorSpace,z)},colorSpaceToWorking:function(E,z){return this.convert(E,z,this.workingColorSpace)},getPrimaries:function(E){return this.spaces[E].primaries},getTransfer:function(E){return E===Je?Pn:this.spaces[E].transfer},getToneMappingMode:function(E){return this.spaces[E].outputColorSpaceConfig.toneMappingMode||"standard"},getLuminanceCoefficients:function(E,z=this.workingColorSpace){return E.fromArray(this.spaces[z].luminanceCoefficients)},define:function(E){Object.assign(this.spaces,E)},_getMatrix:function(E,z,ee){return E.copy(this.spaces[z].toXYZ).multiply(this.spaces[ee].fromXYZ)},_getDrawingBufferColorSpace:function(E){return this.spaces[E].outputColorSpaceConfig.drawingBufferColorSpace},_getUnpackColorSpace:function(E=this.workingColorSpace){return this.spaces[E].workingColorSpaceConfig.unpackColorSpace},fromWorkingColorSpace:function(E,z){return no("ColorManagement: .fromWorkingColorSpace() has been renamed to .workingToColorSpace()."),b.workingToColorSpace(E,z)},toWorkingColorSpace:function(E,z){return no("ColorManagement: .toWorkingColorSpace() has been renamed to .colorSpaceToWorking()."),b.colorSpaceToWorking(E,z)}},a=[.64,.33,.3,.6,.15,.06],x=[.2126,.7152,.0722],y=[.3127,.329];return b.define({[Ut]:{primaries:a,whitePoint:y,transfer:Pn,toXYZ:bB,fromXYZ:EB,luminanceCoefficients:x,workingColorSpaceConfig:{unpackColorSpace:yt},outputColorSpaceConfig:{drawingBufferColorSpace:yt}},[yt]:{primaries:a,whitePoint:y,transfer:kt,toXYZ:bB,fromXYZ:EB,luminanceCoefficients:x,outputColorSpaceConfig:{drawingBufferColorSpace:yt}}}),b}const ba=uR();function Ng(b){return b<.04045?b*.0773993808:Math.pow(b*.9478672986+.0521327014,2.4)}function CA(b){return b<.0031308?b*12.92:1.055*Math.pow(b,.41666)-.055}let PA;class cR{static getDataURL(a,x="image/png"){if(/^data:/i.test(a.src)||typeof HTMLCanvasElement=="undefined")return a.src;let y;if(a instanceof HTMLCanvasElement)y=a;else{PA===void 0&&(PA=zi("canvas")),PA.width=a.width,PA.height=a.height;const E=PA.getContext("2d");a instanceof ImageData?E.putImageData(a,0,0):E.drawImage(a,0,0,a.width,a.height),y=PA}return y.toDataURL(x)}static sRGBToLinear(a){if(typeof HTMLImageElement!="undefined"&&a instanceof HTMLImageElement||typeof HTMLCanvasElement!="undefined"&&a instanceof HTMLCanvasElement||typeof ImageBitmap!="undefined"&&a instanceof ImageBitmap){const x=zi("canvas");x.width=a.width,x.height=a.height;const y=x.getContext("2d");y.drawImage(a,0,0,a.width,a.height);const E=y.getImageData(0,0,a.width,a.height),z=E.data;for(let ee=0;ee<z.length;ee++)z[ee]=Ng(z[ee]/255)*255;return y.putImageData(E,0,0),x}else if(a.data){const x=a.data.slice(0);for(let y=0;y<x.length;y++)x instanceof Uint8Array||x instanceof Uint8ClampedArray?x[y]=Math.floor(Ng(x[y]/255)*255):x[y]=Ng(x[y]);return{data:x,width:a.width,height:a.height}}else return wn("ImageUtils.sRGBToLinear(): Unsupported image type. No color space conversion applied."),a}}let dR=0;class mv{constructor(a=null){this.isSource=!0,Object.defineProperty(this,"id",{value:dR++}),this.uuid=Zu(),this.data=a,this.dataReady=!0,this.version=0}getSize(a){const x=this.data;return typeof HTMLVideoElement!="undefined"&&x instanceof HTMLVideoElement?a.set(x.videoWidth,x.videoHeight,0):x instanceof VideoFrame?a.set(x.displayHeight,x.displayWidth,0):x!==null?a.set(x.width,x.height,x.depth||0):a.set(0,0,0),a}set needsUpdate(a){a===!0&&this.version++}toJSON(a){const x=a===void 0||typeof a=="string";if(!x&&a.images[this.uuid]!==void 0)return a.images[this.uuid];const y={uuid:this.uuid,url:""},E=this.data;if(E!==null){let z;if(Array.isArray(E)){z=[];for(let ee=0,te=E.length;ee<te;ee++)E[ee].isDataTexture?z.push(UC(E[ee].image)):z.push(UC(E[ee]))}else z=UC(E);y.url=z}return x||(a.images[this.uuid]=y),y}}function UC(b){return typeof HTMLImageElement!="undefined"&&b instanceof HTMLImageElement||typeof HTMLCanvasElement!="undefined"&&b instanceof HTMLCanvasElement||typeof ImageBitmap!="undefined"&&b instanceof ImageBitmap?cR.getDataURL(b):b.data?{data:Array.from(b.data),width:b.width,height:b.height,type:b.data.constructor.name}:(wn("Texture: Unable to serialize Texture."),{})}let fR=0;const jC=new ft;class mc extends Qu{constructor(a=mc.DEFAULT_IMAGE,x=mc.DEFAULT_MAPPING,y=Xu,E=Xu,z=Co,ee=Wu,te=El,ne=yl,ie=mc.DEFAULT_ANISOTROPY,ae=Je){super(),this.isTexture=!0,Object.defineProperty(this,"id",{value:fR++}),this.uuid=Zu(),this.name="",this.source=new mv(a),this.mipmaps=[],this.mapping=x,this.channel=0,this.wrapS=y,this.wrapT=E,this.magFilter=z,this.minFilter=ee,this.anisotropy=ie,this.format=te,this.internalFormat=null,this.type=ne,this.offset=new ar(0,0),this.repeat=new ar(1,1),this.center=new ar(0,0),this.rotation=0,this.matrixAutoUpdate=!0,this.matrix=new ro,this.generateMipmaps=!0,this.premultiplyAlpha=!1,this.flipY=!0,this.unpackAlignment=4,this.colorSpace=ae,this.userData={},this.updateRanges=[],this.version=0,this.onUpdate=null,this.renderTarget=null,this.isRenderTargetTexture=!1,this.isArrayTexture=!!(a&&a.depth&&a.depth>1),this.pmremVersion=0}get width(){return this.source.getSize(jC).x}get height(){return this.source.getSize(jC).y}get depth(){return this.source.getSize(jC).z}get image(){return this.source.data}set image(a=null){this.source.data=a}updateMatrix(){this.matrix.setUvTransform(this.offset.x,this.offset.y,this.repeat.x,this.repeat.y,this.rotation,this.center.x,this.center.y)}addUpdateRange(a,x){this.updateRanges.push({start:a,count:x})}clearUpdateRanges(){this.updateRanges.length=0}clone(){return new this.constructor().copy(this)}copy(a){return this.name=a.name,this.source=a.source,this.mipmaps=a.mipmaps.slice(0),this.mapping=a.mapping,this.channel=a.channel,this.wrapS=a.wrapS,this.wrapT=a.wrapT,this.magFilter=a.magFilter,this.minFilter=a.minFilter,this.anisotropy=a.anisotropy,this.format=a.format,this.internalFormat=a.internalFormat,this.type=a.type,this.offset.copy(a.offset),this.repeat.copy(a.repeat),this.center.copy(a.center),this.rotation=a.rotation,this.matrixAutoUpdate=a.matrixAutoUpdate,this.matrix.copy(a.matrix),this.generateMipmaps=a.generateMipmaps,this.premultiplyAlpha=a.premultiplyAlpha,this.flipY=a.flipY,this.unpackAlignment=a.unpackAlignment,this.colorSpace=a.colorSpace,this.renderTarget=a.renderTarget,this.isRenderTargetTexture=a.isRenderTargetTexture,this.isArrayTexture=a.isArrayTexture,this.userData=JSON.parse(JSON.stringify(a.userData)),this.needsUpdate=!0,this}setValues(a){for(const x in a){const y=a[x];if(y===void 0){wn(`Texture.setValues(): parameter '${x}' has value of undefined.`);continue}const E=this[x];if(E===void 0){wn(`Texture.setValues(): property '${x}' does not exist.`);continue}E&&y&&E.isVector2&&y.isVector2||E&&y&&E.isVector3&&y.isVector3||E&&y&&E.isMatrix3&&y.isMatrix3?E.copy(y):this[x]=y}}toJSON(a){const x=a===void 0||typeof a=="string";if(!x&&a.textures[this.uuid]!==void 0)return a.textures[this.uuid];const y={metadata:{version:4.7,type:"Texture",generator:"Texture.toJSON"},uuid:this.uuid,name:this.name,image:this.source.toJSON(a).uuid,mapping:this.mapping,channel:this.channel,repeat:[this.repeat.x,this.repeat.y],offset:[this.offset.x,this.offset.y],center:[this.center.x,this.center.y],rotation:this.rotation,wrap:[this.wrapS,this.wrapT],format:this.format,internalFormat:this.internalFormat,type:this.type,colorSpace:this.colorSpace,minFilter:this.minFilter,magFilter:this.magFilter,anisotropy:this.anisotropy,flipY:this.flipY,generateMipmaps:this.generateMipmaps,premultiplyAlpha:this.premultiplyAlpha,unpackAlignment:this.unpackAlignment};return Object.keys(this.userData).length>0&&(y.userData=this.userData),x||(a.textures[this.uuid]=y),y}dispose(){this.dispatchEvent({type:"dispose"})}transformUv(a){if(this.mapping!==wa)return a;if(a.applyMatrix3(this.matrix),a.x<0||a.x>1)switch(this.wrapS){case Ru:a.x=a.x-Math.floor(a.x);break;case Xu:a.x=a.x<0?0:1;break;case uh:Math.abs(Math.floor(a.x)%2)===1?a.x=Math.ceil(a.x)-a.x:a.x=a.x-Math.floor(a.x);break}if(a.y<0||a.y>1)switch(this.wrapT){case Ru:a.y=a.y-Math.floor(a.y);break;case Xu:a.y=a.y<0?0:1;break;case uh:Math.abs(Math.floor(a.y)%2)===1?a.y=Math.ceil(a.y)-a.y:a.y=a.y-Math.floor(a.y);break}return this.flipY&&(a.y=1-a.y),a}set needsUpdate(a){a===!0&&(this.version++,this.source.needsUpdate=!0)}set needsPMREMUpdate(a){a===!0&&this.pmremVersion++}}mc.DEFAULT_IMAGE=null,mc.DEFAULT_MAPPING=wa,mc.DEFAULT_ANISOTROPY=1;class la{constructor(a=0,x=0,y=0,E=1){la.prototype.isVector4=!0,this.x=a,this.y=x,this.z=y,this.w=E}get width(){return this.z}set width(a){this.z=a}get height(){return this.w}set height(a){this.w=a}set(a,x,y,E){return this.x=a,this.y=x,this.z=y,this.w=E,this}setScalar(a){return this.x=a,this.y=a,this.z=a,this.w=a,this}setX(a){return this.x=a,this}setY(a){return this.y=a,this}setZ(a){return this.z=a,this}setW(a){return this.w=a,this}setComponent(a,x){switch(a){case 0:this.x=x;break;case 1:this.y=x;break;case 2:this.z=x;break;case 3:this.w=x;break;default:throw new Error("index is out of range: "+a)}return this}getComponent(a){switch(a){case 0:return this.x;case 1:return this.y;case 2:return this.z;case 3:return this.w;default:throw new Error("index is out of range: "+a)}}clone(){return new this.constructor(this.x,this.y,this.z,this.w)}copy(a){return this.x=a.x,this.y=a.y,this.z=a.z,this.w=a.w!==void 0?a.w:1,this}add(a){return this.x+=a.x,this.y+=a.y,this.z+=a.z,this.w+=a.w,this}addScalar(a){return this.x+=a,this.y+=a,this.z+=a,this.w+=a,this}addVectors(a,x){return this.x=a.x+x.x,this.y=a.y+x.y,this.z=a.z+x.z,this.w=a.w+x.w,this}addScaledVector(a,x){return this.x+=a.x*x,this.y+=a.y*x,this.z+=a.z*x,this.w+=a.w*x,this}sub(a){return this.x-=a.x,this.y-=a.y,this.z-=a.z,this.w-=a.w,this}subScalar(a){return this.x-=a,this.y-=a,this.z-=a,this.w-=a,this}subVectors(a,x){return this.x=a.x-x.x,this.y=a.y-x.y,this.z=a.z-x.z,this.w=a.w-x.w,this}multiply(a){return this.x*=a.x,this.y*=a.y,this.z*=a.z,this.w*=a.w,this}multiplyScalar(a){return this.x*=a,this.y*=a,this.z*=a,this.w*=a,this}applyMatrix4(a){const x=this.x,y=this.y,E=this.z,z=this.w,ee=a.elements;return this.x=ee[0]*x+ee[4]*y+ee[8]*E+ee[12]*z,this.y=ee[1]*x+ee[5]*y+ee[9]*E+ee[13]*z,this.z=ee[2]*x+ee[6]*y+ee[10]*E+ee[14]*z,this.w=ee[3]*x+ee[7]*y+ee[11]*E+ee[15]*z,this}divide(a){return this.x/=a.x,this.y/=a.y,this.z/=a.z,this.w/=a.w,this}divideScalar(a){return this.multiplyScalar(1/a)}setAxisAngleFromQuaternion(a){this.w=2*Math.acos(a.w);const x=Math.sqrt(1-a.w*a.w);return x<1e-4?(this.x=1,this.y=0,this.z=0):(this.x=a.x/x,this.y=a.y/x,this.z=a.z/x),this}setAxisAngleFromRotationMatrix(a){let x,y,E,z;const ne=a.elements,ie=ne[0],ae=ne[4],oe=ne[8],le=ne[1],ue=ne[5],he=ne[9],xe=ne[2],ve=ne[6],me=ne[10];if(Math.abs(ae-le)<.01&&Math.abs(oe-xe)<.01&&Math.abs(he-ve)<.01){if(Math.abs(ae+le)<.1&&Math.abs(oe+xe)<.1&&Math.abs(he+ve)<.1&&Math.abs(ie+ue+me-3)<.1)return this.set(1,0,0,0),this;x=Math.PI;const we=(ie+1)/2,Me=(ue+1)/2,Le=(me+1)/2,De=(ae+le)/4,ke=(oe+xe)/4,ze=(he+ve)/4;return we>Me&&we>Le?we<.01?(y=0,E=.707106781,z=.707106781):(y=Math.sqrt(we),E=De/y,z=ke/y):Me>Le?Me<.01?(y=.707106781,E=0,z=.707106781):(E=Math.sqrt(Me),y=De/E,z=ze/E):Le<.01?(y=.707106781,E=.707106781,z=0):(z=Math.sqrt(Le),y=ke/z,E=ze/z),this.set(y,E,z,x),this}let Pe=Math.sqrt((ve-he)*(ve-he)+(oe-xe)*(oe-xe)+(le-ae)*(le-ae));return Math.abs(Pe)<.001&&(Pe=1),this.x=(ve-he)/Pe,this.y=(oe-xe)/Pe,this.z=(le-ae)/Pe,this.w=Math.acos((ie+ue+me-1)/2),this}setFromMatrixPosition(a){const x=a.elements;return this.x=x[12],this.y=x[13],this.z=x[14],this.w=x[15],this}min(a){return this.x=Math.min(this.x,a.x),this.y=Math.min(this.y,a.y),this.z=Math.min(this.z,a.z),this.w=Math.min(this.w,a.w),this}max(a){return this.x=Math.max(this.x,a.x),this.y=Math.max(this.y,a.y),this.z=Math.max(this.z,a.z),this.w=Math.max(this.w,a.w),this}clamp(a,x){return this.x=ta(this.x,a.x,x.x),this.y=ta(this.y,a.y,x.y),this.z=ta(this.z,a.z,x.z),this.w=ta(this.w,a.w,x.w),this}clampScalar(a,x){return this.x=ta(this.x,a,x),this.y=ta(this.y,a,x),this.z=ta(this.z,a,x),this.w=ta(this.w,a,x),this}clampLength(a,x){const y=this.length();return this.divideScalar(y||1).multiplyScalar(ta(y,a,x))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this.w=Math.floor(this.w),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this.w=Math.ceil(this.w),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this.w=Math.round(this.w),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this.w=Math.trunc(this.w),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this.w=-this.w,this}dot(a){return this.x*a.x+this.y*a.y+this.z*a.z+this.w*a.w}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)+Math.abs(this.w)}normalize(){return this.divideScalar(this.length()||1)}setLength(a){return this.normalize().multiplyScalar(a)}lerp(a,x){return this.x+=(a.x-this.x)*x,this.y+=(a.y-this.y)*x,this.z+=(a.z-this.z)*x,this.w+=(a.w-this.w)*x,this}lerpVectors(a,x,y){return this.x=a.x+(x.x-a.x)*y,this.y=a.y+(x.y-a.y)*y,this.z=a.z+(x.z-a.z)*y,this.w=a.w+(x.w-a.w)*y,this}equals(a){return a.x===this.x&&a.y===this.y&&a.z===this.z&&a.w===this.w}fromArray(a,x=0){return this.x=a[x],this.y=a[x+1],this.z=a[x+2],this.w=a[x+3],this}toArray(a=[],x=0){return a[x]=this.x,a[x+1]=this.y,a[x+2]=this.z,a[x+3]=this.w,a}fromBufferAttribute(a,x){return this.x=a.getX(x),this.y=a.getY(x),this.z=a.getZ(x),this.w=a.getW(x),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this.w=Math.random(),this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z,yield this.w}}class Fg extends Qu{constructor(a=1,x=1,y={}){super(),y=Object.assign({generateMipmaps:!1,internalFormat:null,minFilter:Co,depthBuffer:!0,stencilBuffer:!1,resolveDepthBuffer:!0,resolveStencilBuffer:!0,depthTexture:null,samples:0,count:1,depth:1,multiview:!1},y),this.isRenderTarget=!0,this.width=a,this.height=x,this.depth=y.depth,this.scissor=new la(0,0,a,x),this.scissorTest=!1,this.viewport=new la(0,0,a,x);const E={width:a,height:x,depth:y.depth},z=new mc(E);this.textures=[];const ee=y.count;for(let te=0;te<ee;te++)this.textures[te]=z.clone(),this.textures[te].isRenderTargetTexture=!0,this.textures[te].renderTarget=this;this._setTextureOptions(y),this.depthBuffer=y.depthBuffer,this.stencilBuffer=y.stencilBuffer,this.resolveDepthBuffer=y.resolveDepthBuffer,this.resolveStencilBuffer=y.resolveStencilBuffer,this._depthTexture=null,this.depthTexture=y.depthTexture,this.samples=y.samples,this.multiview=y.multiview}_setTextureOptions(a={}){const x={minFilter:Co,generateMipmaps:!1,flipY:!1,internalFormat:null};a.mapping!==void 0&&(x.mapping=a.mapping),a.wrapS!==void 0&&(x.wrapS=a.wrapS),a.wrapT!==void 0&&(x.wrapT=a.wrapT),a.wrapR!==void 0&&(x.wrapR=a.wrapR),a.magFilter!==void 0&&(x.magFilter=a.magFilter),a.minFilter!==void 0&&(x.minFilter=a.minFilter),a.format!==void 0&&(x.format=a.format),a.type!==void 0&&(x.type=a.type),a.anisotropy!==void 0&&(x.anisotropy=a.anisotropy),a.colorSpace!==void 0&&(x.colorSpace=a.colorSpace),a.flipY!==void 0&&(x.flipY=a.flipY),a.generateMipmaps!==void 0&&(x.generateMipmaps=a.generateMipmaps),a.internalFormat!==void 0&&(x.internalFormat=a.internalFormat);for(let y=0;y<this.textures.length;y++)this.textures[y].setValues(x)}get texture(){return this.textures[0]}set texture(a){this.textures[0]=a}set depthTexture(a){this._depthTexture!==null&&(this._depthTexture.renderTarget=null),a!==null&&(a.renderTarget=this),this._depthTexture=a}get depthTexture(){return this._depthTexture}setSize(a,x,y=1){if(this.width!==a||this.height!==x||this.depth!==y){this.width=a,this.height=x,this.depth=y;for(let E=0,z=this.textures.length;E<z;E++)this.textures[E].image.width=a,this.textures[E].image.height=x,this.textures[E].image.depth=y,this.textures[E].isData3DTexture!==!0&&(this.textures[E].isArrayTexture=this.textures[E].image.depth>1);this.dispose()}this.viewport.set(0,0,a,x),this.scissor.set(0,0,a,x)}clone(){return new this.constructor().copy(this)}copy(a){this.width=a.width,this.height=a.height,this.depth=a.depth,this.scissor.copy(a.scissor),this.scissorTest=a.scissorTest,this.viewport.copy(a.viewport),this.textures.length=0;for(let x=0,y=a.textures.length;x<y;x++){this.textures[x]=a.textures[x].clone(),this.textures[x].isRenderTargetTexture=!0,this.textures[x].renderTarget=this;const E=Object.assign({},a.textures[x].image);this.textures[x].source=new mv(E)}return this.depthBuffer=a.depthBuffer,this.stencilBuffer=a.stencilBuffer,this.resolveDepthBuffer=a.resolveDepthBuffer,this.resolveStencilBuffer=a.resolveStencilBuffer,a.depthTexture!==null&&(this.depthTexture=a.depthTexture.clone()),this.samples=a.samples,this}dispose(){this.dispatchEvent({type:"dispose"})}}class M0 extends Fg{constructor(a=1,x=1,y={}){super(a,x,y),this.isWebGLRenderTarget=!0}}class h1 extends mc{constructor(a=null,x=1,y=1,E=1){super(null),this.isDataArrayTexture=!0,this.image={data:a,width:x,height:y,depth:E},this.magFilter=Do,this.minFilter=Do,this.wrapR=Xu,this.generateMipmaps=!1,this.flipY=!1,this.unpackAlignment=1,this.layerUpdates=new Set}addLayerUpdate(a){this.layerUpdates.add(a)}clearLayerUpdates(){this.layerUpdates.clear()}}class Pce extends null{constructor(a=1,x=1,y=1,E={}){super(a,x,E),this.isWebGLArrayRenderTarget=!0,this.depth=y,this.texture=new h1(null,a,x,y),this._setTextureOptions(E),this.texture.isRenderTargetTexture=!0}}class VC extends mc{constructor(a=null,x=1,y=1,E=1){super(null),this.isData3DTexture=!0,this.image={data:a,width:x,height:y,depth:E},this.magFilter=Do,this.minFilter=Do,this.wrapR=Xu,this.generateMipmaps=!1,this.flipY=!1,this.unpackAlignment=1}}class Sce extends null{constructor(a=1,x=1,y=1,E={}){super(a,x,E),this.isWebGL3DRenderTarget=!0,this.depth=y,this.texture=new VC(null,a,x,y),this._setTextureOptions(E),this.texture.isRenderTargetTexture=!0}}class wd{constructor(a=new ft(1/0,1/0,1/0),x=new ft(-1/0,-1/0,-1/0)){this.isBox3=!0,this.min=a,this.max=x}set(a,x){return this.min.copy(a),this.max.copy(x),this}setFromArray(a){this.makeEmpty();for(let x=0,y=a.length;x<y;x+=3)this.expandByPoint(jp.fromArray(a,x));return this}setFromBufferAttribute(a){this.makeEmpty();for(let x=0,y=a.count;x<y;x++)this.expandByPoint(jp.fromBufferAttribute(a,x));return this}setFromPoints(a){this.makeEmpty();for(let x=0,y=a.length;x<y;x++)this.expandByPoint(a[x]);return this}setFromCenterAndSize(a,x){const y=jp.copy(x).multiplyScalar(.5);return this.min.copy(a).sub(y),this.max.copy(a).add(y),this}setFromObject(a,x=!1){return this.makeEmpty(),this.expandByObject(a,x)}clone(){return new this.constructor().copy(this)}copy(a){return this.min.copy(a.min),this.max.copy(a.max),this}makeEmpty(){return this.min.x=this.min.y=this.min.z=1/0,this.max.x=this.max.y=this.max.z=-1/0,this}isEmpty(){return this.max.x<this.min.x||this.max.y<this.min.y||this.max.z<this.min.z}getCenter(a){return this.isEmpty()?a.set(0,0,0):a.addVectors(this.min,this.max).multiplyScalar(.5)}getSize(a){return this.isEmpty()?a.set(0,0,0):a.subVectors(this.max,this.min)}expandByPoint(a){return this.min.min(a),this.max.max(a),this}expandByVector(a){return this.min.sub(a),this.max.add(a),this}expandByScalar(a){return this.min.addScalar(-a),this.max.addScalar(a),this}expandByObject(a,x=!1){a.updateWorldMatrix(!1,!1);const y=a.geometry;if(y!==void 0){const z=y.getAttribute("position");if(x===!0&&z!==void 0&&a.isInstancedMesh!==!0)for(let ee=0,te=z.count;ee<te;ee++)a.isMesh===!0?a.getVertexPosition(ee,jp):jp.fromBufferAttribute(z,ee),jp.applyMatrix4(a.matrixWorld),this.expandByPoint(jp);else a.boundingBox!==void 0?(a.boundingBox===null&&a.computeBoundingBox(),p1.copy(a.boundingBox)):(y.boundingBox===null&&y.computeBoundingBox(),p1.copy(y.boundingBox)),p1.applyMatrix4(a.matrixWorld),this.union(p1)}const E=a.children;for(let z=0,ee=E.length;z<ee;z++)this.expandByObject(E[z],x);return this}containsPoint(a){return a.x>=this.min.x&&a.x<=this.max.x&&a.y>=this.min.y&&a.y<=this.max.y&&a.z>=this.min.z&&a.z<=this.max.z}containsBox(a){return this.min.x<=a.min.x&&a.max.x<=this.max.x&&this.min.y<=a.min.y&&a.max.y<=this.max.y&&this.min.z<=a.min.z&&a.max.z<=this.max.z}getParameter(a,x){return x.set((a.x-this.min.x)/(this.max.x-this.min.x),(a.y-this.min.y)/(this.max.y-this.min.y),(a.z-this.min.z)/(this.max.z-this.min.z))}intersectsBox(a){return a.max.x>=this.min.x&&a.min.x<=this.max.x&&a.max.y>=this.min.y&&a.min.y<=this.max.y&&a.max.z>=this.min.z&&a.min.z<=this.max.z}intersectsSphere(a){return this.clampPoint(a.center,jp),jp.distanceToSquared(a.center)<=a.radius*a.radius}intersectsPlane(a){let x,y;return a.normal.x>0?(x=a.normal.x*this.min.x,y=a.normal.x*this.max.x):(x=a.normal.x*this.max.x,y=a.normal.x*this.min.x),a.normal.y>0?(x+=a.normal.y*this.min.y,y+=a.normal.y*this.max.y):(x+=a.normal.y*this.max.y,y+=a.normal.y*this.min.y),a.normal.z>0?(x+=a.normal.z*this.min.z,y+=a.normal.z*this.max.z):(x+=a.normal.z*this.max.z,y+=a.normal.z*this.min.z),x<=-a.constant&&y>=-a.constant}intersectsTriangle(a){if(this.isEmpty())return!1;this.getCenter(Kx),m1.subVectors(this.max,Kx),SA.subVectors(a.a,Kx),BA.subVectors(a.b,Kx),MA.subVectors(a.c,Kx),T0.subVectors(BA,SA),D0.subVectors(MA,BA),gv.subVectors(SA,MA);let x=[0,-T0.z,T0.y,0,-D0.z,D0.y,0,-gv.z,gv.y,T0.z,0,-T0.x,D0.z,0,-D0.x,gv.z,0,-gv.x,-T0.y,T0.x,0,-D0.y,D0.x,0,-gv.y,gv.x,0];return!GC(x,SA,BA,MA,m1)||(x=[1,0,0,0,1,0,0,0,1],!GC(x,SA,BA,MA,m1))?!1:(g1.crossVectors(T0,D0),x=[g1.x,g1.y,g1.z],GC(x,SA,BA,MA,m1))}clampPoint(a,x){return x.copy(a).clamp(this.min,this.max)}distanceToPoint(a){return this.clampPoint(a,jp).distanceTo(a)}getBoundingSphere(a){return this.isEmpty()?a.makeEmpty():(this.getCenter(a.center),a.radius=this.getSize(jp).length()*.5),a}intersect(a){return this.min.max(a.min),this.max.min(a.max),this.isEmpty()&&this.makeEmpty(),this}union(a){return this.min.min(a.min),this.max.max(a.max),this}applyMatrix4(a){return this.isEmpty()?this:(Lg[0].set(this.min.x,this.min.y,this.min.z).applyMatrix4(a),Lg[1].set(this.min.x,this.min.y,this.max.z).applyMatrix4(a),Lg[2].set(this.min.x,this.max.y,this.min.z).applyMatrix4(a),Lg[3].set(this.min.x,this.max.y,this.max.z).applyMatrix4(a),Lg[4].set(this.max.x,this.min.y,this.min.z).applyMatrix4(a),Lg[5].set(this.max.x,this.min.y,this.max.z).applyMatrix4(a),Lg[6].set(this.max.x,this.max.y,this.min.z).applyMatrix4(a),Lg[7].set(this.max.x,this.max.y,this.max.z).applyMatrix4(a),this.setFromPoints(Lg),this)}translate(a){return this.min.add(a),this.max.add(a),this}equals(a){return a.min.equals(this.min)&&a.max.equals(this.max)}toJSON(){return{min:this.min.toArray(),max:this.max.toArray()}}fromJSON(a){return this.min.fromArray(a.min),this.max.fromArray(a.max),this}}const Lg=[new ft,new ft,new ft,new ft,new ft,new ft,new ft,new ft],jp=new ft,p1=new wd,SA=new ft,BA=new ft,MA=new ft,T0=new ft,D0=new ft,gv=new ft,Kx=new ft,m1=new ft,g1=new ft,vv=new ft;function GC(b,a,x,y,E){for(let z=0,ee=b.length-3;z<=ee;z+=3){vv.fromArray(b,z);const te=E.x*Math.abs(vv.x)+E.y*Math.abs(vv.y)+E.z*Math.abs(vv.z),ne=a.dot(vv),ie=x.dot(vv),ae=y.dot(vv);if(Math.max(-Math.max(ne,ie,ae),Math.min(ne,ie,ae))>te)return!1}return!0}const hR=new wd,qx=new ft,XC=new ft;class Cd{constructor(a=new ft,x=-1){this.isSphere=!0,this.center=a,this.radius=x}set(a,x){return this.center.copy(a),this.radius=x,this}setFromPoints(a,x){const y=this.center;x!==void 0?y.copy(x):hR.setFromPoints(a).getCenter(y);let E=0;for(let z=0,ee=a.length;z<ee;z++)E=Math.max(E,y.distanceToSquared(a[z]));return this.radius=Math.sqrt(E),this}copy(a){return this.center.copy(a.center),this.radius=a.radius,this}isEmpty(){return this.radius<0}makeEmpty(){return this.center.set(0,0,0),this.radius=-1,this}containsPoint(a){return a.distanceToSquared(this.center)<=this.radius*this.radius}distanceToPoint(a){return a.distanceTo(this.center)-this.radius}intersectsSphere(a){const x=this.radius+a.radius;return a.center.distanceToSquared(this.center)<=x*x}intersectsBox(a){return a.intersectsSphere(this)}intersectsPlane(a){return Math.abs(a.distanceToPoint(this.center))<=this.radius}clampPoint(a,x){const y=this.center.distanceToSquared(a);return x.copy(a),y>this.radius*this.radius&&(x.sub(this.center).normalize(),x.multiplyScalar(this.radius).add(this.center)),x}getBoundingBox(a){return this.isEmpty()?(a.makeEmpty(),a):(a.set(this.center,this.center),a.expandByScalar(this.radius),a)}applyMatrix4(a){return this.center.applyMatrix4(a),this.radius=this.radius*a.getMaxScaleOnAxis(),this}translate(a){return this.center.add(a),this}expandByPoint(a){if(this.isEmpty())return this.center.copy(a),this.radius=0,this;qx.subVectors(a,this.center);const x=qx.lengthSq();if(x>this.radius*this.radius){const y=Math.sqrt(x),E=(y-this.radius)*.5;this.center.addScaledVector(qx,E/y),this.radius+=E}return this}union(a){return a.isEmpty()?this:this.isEmpty()?(this.copy(a),this):(this.center.equals(a.center)===!0?this.radius=Math.max(this.radius,a.radius):(XC.subVectors(a.center,this.center).setLength(a.radius),this.expandByPoint(qx.copy(a.center).add(XC)),this.expandByPoint(qx.copy(a.center).sub(XC))),this)}equals(a){return a.center.equals(this.center)&&a.radius===this.radius}clone(){return new this.constructor().copy(this)}toJSON(){return{radius:this.radius,center:this.center.toArray()}}fromJSON(a){return this.radius=a.radius,this.center.fromArray(a.center),this}}const Rg=new ft,WC=new ft,v1=new ft,I0=new ft,QC=new ft,A1=new ft,ZC=new ft;class TA{constructor(a=new ft,x=new ft(0,0,-1)){this.origin=a,this.direction=x}set(a,x){return this.origin.copy(a),this.direction.copy(x),this}copy(a){return this.origin.copy(a.origin),this.direction.copy(a.direction),this}at(a,x){return x.copy(this.origin).addScaledVector(this.direction,a)}lookAt(a){return this.direction.copy(a).sub(this.origin).normalize(),this}recast(a){return this.origin.copy(this.at(a,Rg)),this}closestPointToPoint(a,x){x.subVectors(a,this.origin);const y=x.dot(this.direction);return y<0?x.copy(this.origin):x.copy(this.origin).addScaledVector(this.direction,y)}distanceToPoint(a){return Math.sqrt(this.distanceSqToPoint(a))}distanceSqToPoint(a){const x=Rg.subVectors(a,this.origin).dot(this.direction);return x<0?this.origin.distanceToSquared(a):(Rg.copy(this.origin).addScaledVector(this.direction,x),Rg.distanceToSquared(a))}distanceSqToSegment(a,x,y,E){WC.copy(a).add(x).multiplyScalar(.5),v1.copy(x).sub(a).normalize(),I0.copy(this.origin).sub(WC);const z=a.distanceTo(x)*.5,ee=-this.direction.dot(v1),te=I0.dot(this.direction),ne=-I0.dot(v1),ie=I0.lengthSq(),ae=Math.abs(1-ee*ee);let oe,le,ue,he;if(ae>0)if(oe=ee*ne-te,le=ee*te-ne,he=z*ae,oe>=0)if(le>=-he)if(le<=he){const xe=1/ae;oe*=xe,le*=xe,ue=oe*(oe+ee*le+2*te)+le*(ee*oe+le+2*ne)+ie}else le=z,oe=Math.max(0,-(ee*le+te)),ue=-oe*oe+le*(le+2*ne)+ie;else le=-z,oe=Math.max(0,-(ee*le+te)),ue=-oe*oe+le*(le+2*ne)+ie;else le<=-he?(oe=Math.max(0,-(-ee*z+te)),le=oe>0?-z:Math.min(Math.max(-z,-ne),z),ue=-oe*oe+le*(le+2*ne)+ie):le<=he?(oe=0,le=Math.min(Math.max(-z,-ne),z),ue=le*(le+2*ne)+ie):(oe=Math.max(0,-(ee*z+te)),le=oe>0?z:Math.min(Math.max(-z,-ne),z),ue=-oe*oe+le*(le+2*ne)+ie);else le=ee>0?-z:z,oe=Math.max(0,-(ee*le+te)),ue=-oe*oe+le*(le+2*ne)+ie;return y&&y.copy(this.origin).addScaledVector(this.direction,oe),E&&E.copy(WC).addScaledVector(v1,le),ue}intersectSphere(a,x){Rg.subVectors(a.center,this.origin);const y=Rg.dot(this.direction),E=Rg.dot(Rg)-y*y,z=a.radius*a.radius;if(E>z)return null;const ee=Math.sqrt(z-E),te=y-ee,ne=y+ee;return ne<0?null:te<0?this.at(ne,x):this.at(te,x)}intersectsSphere(a){return a.radius<0?!1:this.distanceSqToPoint(a.center)<=a.radius*a.radius}distanceToPlane(a){const x=a.normal.dot(this.direction);if(x===0)return a.distanceToPoint(this.origin)===0?0:null;const y=-(this.origin.dot(a.normal)+a.constant)/x;return y>=0?y:null}intersectPlane(a,x){const y=this.distanceToPlane(a);return y===null?null:this.at(y,x)}intersectsPlane(a){const x=a.distanceToPoint(this.origin);return x===0||a.normal.dot(this.direction)*x<0}intersectBox(a,x){let y,E,z,ee,te,ne;const ie=1/this.direction.x,ae=1/this.direction.y,oe=1/this.direction.z,le=this.origin;return ie>=0?(y=(a.min.x-le.x)*ie,E=(a.max.x-le.x)*ie):(y=(a.max.x-le.x)*ie,E=(a.min.x-le.x)*ie),ae>=0?(z=(a.min.y-le.y)*ae,ee=(a.max.y-le.y)*ae):(z=(a.max.y-le.y)*ae,ee=(a.min.y-le.y)*ae),y>ee||z>E||((z>y||isNaN(y))&&(y=z),(ee<E||isNaN(E))&&(E=ee),oe>=0?(te=(a.min.z-le.z)*oe,ne=(a.max.z-le.z)*oe):(te=(a.max.z-le.z)*oe,ne=(a.min.z-le.z)*oe),y>ne||te>E)||((te>y||y!==y)&&(y=te),(ne<E||E!==E)&&(E=ne),E<0)?null:this.at(y>=0?y:E,x)}intersectsBox(a){return this.intersectBox(a,Rg)!==null}intersectTriangle(a,x,y,E,z){QC.subVectors(x,a),A1.subVectors(y,a),ZC.crossVectors(QC,A1);let ee=this.direction.dot(ZC),te;if(ee>0){if(E)return null;te=1}else if(ee<0)te=-1,ee=-ee;else return null;I0.subVectors(this.origin,a);const ne=te*this.direction.dot(A1.crossVectors(I0,A1));if(ne<0)return null;const ie=te*this.direction.dot(QC.cross(I0));if(ie<0||ne+ie>ee)return null;const ae=-te*I0.dot(ZC);return ae<0?null:this.at(ae/ee,z)}applyMatrix4(a){return this.origin.applyMatrix4(a),this.direction.transformDirection(a),this}equals(a){return a.origin.equals(this.origin)&&a.direction.equals(this.direction)}clone(){return new this.constructor().copy(this)}}class Fs{constructor(a,x,y,E,z,ee,te,ne,ie,ae,oe,le,ue,he,xe,ve){Fs.prototype.isMatrix4=!0,this.elements=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],a!==void 0&&this.set(a,x,y,E,z,ee,te,ne,ie,ae,oe,le,ue,he,xe,ve)}set(a,x,y,E,z,ee,te,ne,ie,ae,oe,le,ue,he,xe,ve){const me=this.elements;return me[0]=a,me[4]=x,me[8]=y,me[12]=E,me[1]=z,me[5]=ee,me[9]=te,me[13]=ne,me[2]=ie,me[6]=ae,me[10]=oe,me[14]=le,me[3]=ue,me[7]=he,me[11]=xe,me[15]=ve,this}identity(){return this.set(1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1),this}clone(){return new Fs().fromArray(this.elements)}copy(a){const x=this.elements,y=a.elements;return x[0]=y[0],x[1]=y[1],x[2]=y[2],x[3]=y[3],x[4]=y[4],x[5]=y[5],x[6]=y[6],x[7]=y[7],x[8]=y[8],x[9]=y[9],x[10]=y[10],x[11]=y[11],x[12]=y[12],x[13]=y[13],x[14]=y[14],x[15]=y[15],this}copyPosition(a){const x=this.elements,y=a.elements;return x[12]=y[12],x[13]=y[13],x[14]=y[14],this}setFromMatrix3(a){const x=a.elements;return this.set(x[0],x[3],x[6],0,x[1],x[4],x[7],0,x[2],x[5],x[8],0,0,0,0,1),this}extractBasis(a,x,y){return a.setFromMatrixColumn(this,0),x.setFromMatrixColumn(this,1),y.setFromMatrixColumn(this,2),this}makeBasis(a,x,y){return this.set(a.x,x.x,y.x,0,a.y,x.y,y.y,0,a.z,x.z,y.z,0,0,0,0,1),this}extractRotation(a){const x=this.elements,y=a.elements,E=1/DA.setFromMatrixColumn(a,0).length(),z=1/DA.setFromMatrixColumn(a,1).length(),ee=1/DA.setFromMatrixColumn(a,2).length();return x[0]=y[0]*E,x[1]=y[1]*E,x[2]=y[2]*E,x[3]=0,x[4]=y[4]*z,x[5]=y[5]*z,x[6]=y[6]*z,x[7]=0,x[8]=y[8]*ee,x[9]=y[9]*ee,x[10]=y[10]*ee,x[11]=0,x[12]=0,x[13]=0,x[14]=0,x[15]=1,this}makeRotationFromEuler(a){const x=this.elements,y=a.x,E=a.y,z=a.z,ee=Math.cos(y),te=Math.sin(y),ne=Math.cos(E),ie=Math.sin(E),ae=Math.cos(z),oe=Math.sin(z);if(a.order==="XYZ"){const le=ee*ae,ue=ee*oe,he=te*ae,xe=te*oe;x[0]=ne*ae,x[4]=-ne*oe,x[8]=ie,x[1]=ue+he*ie,x[5]=le-xe*ie,x[9]=-te*ne,x[2]=xe-le*ie,x[6]=he+ue*ie,x[10]=ee*ne}else if(a.order==="YXZ"){const le=ne*ae,ue=ne*oe,he=ie*ae,xe=ie*oe;x[0]=le+xe*te,x[4]=he*te-ue,x[8]=ee*ie,x[1]=ee*oe,x[5]=ee*ae,x[9]=-te,x[2]=ue*te-he,x[6]=xe+le*te,x[10]=ee*ne}else if(a.order==="ZXY"){const le=ne*ae,ue=ne*oe,he=ie*ae,xe=ie*oe;x[0]=le-xe*te,x[4]=-ee*oe,x[8]=he+ue*te,x[1]=ue+he*te,x[5]=ee*ae,x[9]=xe-le*te,x[2]=-ee*ie,x[6]=te,x[10]=ee*ne}else if(a.order==="ZYX"){const le=ee*ae,ue=ee*oe,he=te*ae,xe=te*oe;x[0]=ne*ae,x[4]=he*ie-ue,x[8]=le*ie+xe,x[1]=ne*oe,x[5]=xe*ie+le,x[9]=ue*ie-he,x[2]=-ie,x[6]=te*ne,x[10]=ee*ne}else if(a.order==="YZX"){const le=ee*ne,ue=ee*ie,he=te*ne,xe=te*ie;x[0]=ne*ae,x[4]=xe-le*oe,x[8]=he*oe+ue,x[1]=oe,x[5]=ee*ae,x[9]=-te*ae,x[2]=-ie*ae,x[6]=ue*oe+he,x[10]=le-xe*oe}else if(a.order==="XZY"){const le=ee*ne,ue=ee*ie,he=te*ne,xe=te*ie;x[0]=ne*ae,x[4]=-oe,x[8]=ie*ae,x[1]=le*oe+xe,x[5]=ee*ae,x[9]=ue*oe-he,x[2]=he*oe-ue,x[6]=te*ae,x[10]=xe*oe+le}return x[3]=0,x[7]=0,x[11]=0,x[12]=0,x[13]=0,x[14]=0,x[15]=1,this}makeRotationFromQuaternion(a){return this.compose(pR,a,mR)}lookAt(a,x,y){const E=this.elements;return vh.subVectors(a,x),vh.lengthSq()===0&&(vh.z=1),vh.normalize(),N0.crossVectors(y,vh),N0.lengthSq()===0&&(Math.abs(y.z)===1?vh.x+=1e-4:vh.z+=1e-4,vh.normalize(),N0.crossVectors(y,vh)),N0.normalize(),x1.crossVectors(vh,N0),E[0]=N0.x,E[4]=x1.x,E[8]=vh.x,E[1]=N0.y,E[5]=x1.y,E[9]=vh.y,E[2]=N0.z,E[6]=x1.z,E[10]=vh.z,this}multiply(a){return this.multiplyMatrices(this,a)}premultiply(a){return this.multiplyMatrices(a,this)}multiplyMatrices(a,x){const y=a.elements,E=x.elements,z=this.elements,ee=y[0],te=y[4],ne=y[8],ie=y[12],ae=y[1],oe=y[5],le=y[9],ue=y[13],he=y[2],xe=y[6],ve=y[10],me=y[14],Pe=y[3],we=y[7],Me=y[11],Le=y[15],De=E[0],ke=E[4],ze=E[8],He=E[12],Re=E[1],Fe=E[5],$e=E[9],pt=E[13],st=E[2],Ft=E[6],an=E[10],Zn=E[14],Zt=E[3],nt=E[7],Vt=E[11],vt=E[15];return z[0]=ee*De+te*Re+ne*st+ie*Zt,z[4]=ee*ke+te*Fe+ne*Ft+ie*nt,z[8]=ee*ze+te*$e+ne*an+ie*Vt,z[12]=ee*He+te*pt+ne*Zn+ie*vt,z[1]=ae*De+oe*Re+le*st+ue*Zt,z[5]=ae*ke+oe*Fe+le*Ft+ue*nt,z[9]=ae*ze+oe*$e+le*an+ue*Vt,z[13]=ae*He+oe*pt+le*Zn+ue*vt,z[2]=he*De+xe*Re+ve*st+me*Zt,z[6]=he*ke+xe*Fe+ve*Ft+me*nt,z[10]=he*ze+xe*$e+ve*an+me*Vt,z[14]=he*He+xe*pt+ve*Zn+me*vt,z[3]=Pe*De+we*Re+Me*st+Le*Zt,z[7]=Pe*ke+we*Fe+Me*Ft+Le*nt,z[11]=Pe*ze+we*$e+Me*an+Le*Vt,z[15]=Pe*He+we*pt+Me*Zn+Le*vt,this}multiplyScalar(a){const x=this.elements;return x[0]*=a,x[4]*=a,x[8]*=a,x[12]*=a,x[1]*=a,x[5]*=a,x[9]*=a,x[13]*=a,x[2]*=a,x[6]*=a,x[10]*=a,x[14]*=a,x[3]*=a,x[7]*=a,x[11]*=a,x[15]*=a,this}determinant(){const a=this.elements,x=a[0],y=a[4],E=a[8],z=a[12],ee=a[1],te=a[5],ne=a[9],ie=a[13],ae=a[2],oe=a[6],le=a[10],ue=a[14],he=a[3],xe=a[7],ve=a[11],me=a[15];return he*(+z*ne*oe-E*ie*oe-z*te*le+y*ie*le+E*te*ue-y*ne*ue)+xe*(+x*ne*ue-x*ie*le+z*ee*le-E*ee*ue+E*ie*ae-z*ne*ae)+ve*(+x*ie*oe-x*te*ue-z*ee*oe+y*ee*ue+z*te*ae-y*ie*ae)+me*(-E*te*ae-x*ne*oe+x*te*le+E*ee*oe-y*ee*le+y*ne*ae)}transpose(){const a=this.elements;let x;return x=a[1],a[1]=a[4],a[4]=x,x=a[2],a[2]=a[8],a[8]=x,x=a[6],a[6]=a[9],a[9]=x,x=a[3],a[3]=a[12],a[12]=x,x=a[7],a[7]=a[13],a[13]=x,x=a[11],a[11]=a[14],a[14]=x,this}setPosition(a,x,y){const E=this.elements;return a.isVector3?(E[12]=a.x,E[13]=a.y,E[14]=a.z):(E[12]=a,E[13]=x,E[14]=y),this}invert(){const a=this.elements,x=a[0],y=a[1],E=a[2],z=a[3],ee=a[4],te=a[5],ne=a[6],ie=a[7],ae=a[8],oe=a[9],le=a[10],ue=a[11],he=a[12],xe=a[13],ve=a[14],me=a[15],Pe=oe*ve*ie-xe*le*ie+xe*ne*ue-te*ve*ue-oe*ne*me+te*le*me,we=he*le*ie-ae*ve*ie-he*ne*ue+ee*ve*ue+ae*ne*me-ee*le*me,Me=ae*xe*ie-he*oe*ie+he*te*ue-ee*xe*ue-ae*te*me+ee*oe*me,Le=he*oe*ne-ae*xe*ne-he*te*le+ee*xe*le+ae*te*ve-ee*oe*ve,De=x*Pe+y*we+E*Me+z*Le;if(De===0)return this.set(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0);const ke=1/De;return a[0]=Pe*ke,a[1]=(xe*le*z-oe*ve*z-xe*E*ue+y*ve*ue+oe*E*me-y*le*me)*ke,a[2]=(te*ve*z-xe*ne*z+xe*E*ie-y*ve*ie-te*E*me+y*ne*me)*ke,a[3]=(oe*ne*z-te*le*z-oe*E*ie+y*le*ie+te*E*ue-y*ne*ue)*ke,a[4]=we*ke,a[5]=(ae*ve*z-he*le*z+he*E*ue-x*ve*ue-ae*E*me+x*le*me)*ke,a[6]=(he*ne*z-ee*ve*z-he*E*ie+x*ve*ie+ee*E*me-x*ne*me)*ke,a[7]=(ee*le*z-ae*ne*z+ae*E*ie-x*le*ie-ee*E*ue+x*ne*ue)*ke,a[8]=Me*ke,a[9]=(he*oe*z-ae*xe*z-he*y*ue+x*xe*ue+ae*y*me-x*oe*me)*ke,a[10]=(ee*xe*z-he*te*z+he*y*ie-x*xe*ie-ee*y*me+x*te*me)*ke,a[11]=(ae*te*z-ee*oe*z-ae*y*ie+x*oe*ie+ee*y*ue-x*te*ue)*ke,a[12]=Le*ke,a[13]=(ae*xe*E-he*oe*E+he*y*le-x*xe*le-ae*y*ve+x*oe*ve)*ke,a[14]=(he*te*E-ee*xe*E-he*y*ne+x*xe*ne+ee*y*ve-x*te*ve)*ke,a[15]=(ee*oe*E-ae*te*E+ae*y*ne-x*oe*ne-ee*y*le+x*te*le)*ke,this}scale(a){const x=this.elements,y=a.x,E=a.y,z=a.z;return x[0]*=y,x[4]*=E,x[8]*=z,x[1]*=y,x[5]*=E,x[9]*=z,x[2]*=y,x[6]*=E,x[10]*=z,x[3]*=y,x[7]*=E,x[11]*=z,this}getMaxScaleOnAxis(){const a=this.elements,x=a[0]*a[0]+a[1]*a[1]+a[2]*a[2],y=a[4]*a[4]+a[5]*a[5]+a[6]*a[6],E=a[8]*a[8]+a[9]*a[9]+a[10]*a[10];return Math.sqrt(Math.max(x,y,E))}makeTranslation(a,x,y){return a.isVector3?this.set(1,0,0,a.x,0,1,0,a.y,0,0,1,a.z,0,0,0,1):this.set(1,0,0,a,0,1,0,x,0,0,1,y,0,0,0,1),this}makeRotationX(a){const x=Math.cos(a),y=Math.sin(a);return this.set(1,0,0,0,0,x,-y,0,0,y,x,0,0,0,0,1),this}makeRotationY(a){const x=Math.cos(a),y=Math.sin(a);return this.set(x,0,y,0,0,1,0,0,-y,0,x,0,0,0,0,1),this}makeRotationZ(a){const x=Math.cos(a),y=Math.sin(a);return this.set(x,-y,0,0,y,x,0,0,0,0,1,0,0,0,0,1),this}makeRotationAxis(a,x){const y=Math.cos(x),E=Math.sin(x),z=1-y,ee=a.x,te=a.y,ne=a.z,ie=z*ee,ae=z*te;return this.set(ie*ee+y,ie*te-E*ne,ie*ne+E*te,0,ie*te+E*ne,ae*te+y,ae*ne-E*ee,0,ie*ne-E*te,ae*ne+E*ee,z*ne*ne+y,0,0,0,0,1),this}makeScale(a,x,y){return this.set(a,0,0,0,0,x,0,0,0,0,y,0,0,0,0,1),this}makeShear(a,x,y,E,z,ee){return this.set(1,y,z,0,a,1,ee,0,x,E,1,0,0,0,0,1),this}compose(a,x,y){const E=this.elements,z=x._x,ee=x._y,te=x._z,ne=x._w,ie=z+z,ae=ee+ee,oe=te+te,le=z*ie,ue=z*ae,he=z*oe,xe=ee*ae,ve=ee*oe,me=te*oe,Pe=ne*ie,we=ne*ae,Me=ne*oe,Le=y.x,De=y.y,ke=y.z;return E[0]=(1-(xe+me))*Le,E[1]=(ue+Me)*Le,E[2]=(he-we)*Le,E[3]=0,E[4]=(ue-Me)*De,E[5]=(1-(le+me))*De,E[6]=(ve+Pe)*De,E[7]=0,E[8]=(he+we)*ke,E[9]=(ve-Pe)*ke,E[10]=(1-(le+xe))*ke,E[11]=0,E[12]=a.x,E[13]=a.y,E[14]=a.z,E[15]=1,this}decompose(a,x,y){const E=this.elements;let z=DA.set(E[0],E[1],E[2]).length();const ee=DA.set(E[4],E[5],E[6]).length(),te=DA.set(E[8],E[9],E[10]).length();this.determinant()<0&&(z=-z),a.x=E[12],a.y=E[13],a.z=E[14],Vp.copy(this);const ie=1/z,ae=1/ee,oe=1/te;return Vp.elements[0]*=ie,Vp.elements[1]*=ie,Vp.elements[2]*=ie,Vp.elements[4]*=ae,Vp.elements[5]*=ae,Vp.elements[6]*=ae,Vp.elements[8]*=oe,Vp.elements[9]*=oe,Vp.elements[10]*=oe,x.setFromRotationMatrix(Vp),y.x=z,y.y=ee,y.z=te,this}makePerspective(a,x,y,E,z,ee,te=It,ne=!1){const ie=this.elements,ae=2*z/(x-a),oe=2*z/(y-E),le=(x+a)/(x-a),ue=(y+E)/(y-E);let he,xe;if(ne)he=z/(ee-z),xe=ee*z/(ee-z);else if(te===It)he=-(ee+z)/(ee-z),xe=-2*ee*z/(ee-z);else if(te===bt)he=-ee/(ee-z),xe=-ee*z/(ee-z);else throw new Error("THREE.Matrix4.makePerspective(): Invalid coordinate system: "+te);return ie[0]=ae,ie[4]=0,ie[8]=le,ie[12]=0,ie[1]=0,ie[5]=oe,ie[9]=ue,ie[13]=0,ie[2]=0,ie[6]=0,ie[10]=he,ie[14]=xe,ie[3]=0,ie[7]=0,ie[11]=-1,ie[15]=0,this}makeOrthographic(a,x,y,E,z,ee,te=It,ne=!1){const ie=this.elements,ae=2/(x-a),oe=2/(y-E),le=-(x+a)/(x-a),ue=-(y+E)/(y-E);let he,xe;if(ne)he=1/(ee-z),xe=ee/(ee-z);else if(te===It)he=-2/(ee-z),xe=-(ee+z)/(ee-z);else if(te===bt)he=-1/(ee-z),xe=-z/(ee-z);else throw new Error("THREE.Matrix4.makeOrthographic(): Invalid coordinate system: "+te);return ie[0]=ae,ie[4]=0,ie[8]=0,ie[12]=le,ie[1]=0,ie[5]=oe,ie[9]=0,ie[13]=ue,ie[2]=0,ie[6]=0,ie[10]=he,ie[14]=xe,ie[3]=0,ie[7]=0,ie[11]=0,ie[15]=1,this}equals(a){const x=this.elements,y=a.elements;for(let E=0;E<16;E++)if(x[E]!==y[E])return!1;return!0}fromArray(a,x=0){for(let y=0;y<16;y++)this.elements[y]=a[y+x];return this}toArray(a=[],x=0){const y=this.elements;return a[x]=y[0],a[x+1]=y[1],a[x+2]=y[2],a[x+3]=y[3],a[x+4]=y[4],a[x+5]=y[5],a[x+6]=y[6],a[x+7]=y[7],a[x+8]=y[8],a[x+9]=y[9],a[x+10]=y[10],a[x+11]=y[11],a[x+12]=y[12],a[x+13]=y[13],a[x+14]=y[14],a[x+15]=y[15],a}}const DA=new ft,Vp=new Fs,pR=new ft(0,0,0),mR=new ft(1,1,1),N0=new ft,x1=new ft,vh=new ft,wB=new Fs,CB=new pc;class zf{constructor(a=0,x=0,y=0,E=zf.DEFAULT_ORDER){this.isEuler=!0,this._x=a,this._y=x,this._z=y,this._order=E}get x(){return this._x}set x(a){this._x=a,this._onChangeCallback()}get y(){return this._y}set y(a){this._y=a,this._onChangeCallback()}get z(){return this._z}set z(a){this._z=a,this._onChangeCallback()}get order(){return this._order}set order(a){this._order=a,this._onChangeCallback()}set(a,x,y,E=this._order){return this._x=a,this._y=x,this._z=y,this._order=E,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._order)}copy(a){return this._x=a._x,this._y=a._y,this._z=a._z,this._order=a._order,this._onChangeCallback(),this}setFromRotationMatrix(a,x=this._order,y=!0){const E=a.elements,z=E[0],ee=E[4],te=E[8],ne=E[1],ie=E[5],ae=E[9],oe=E[2],le=E[6],ue=E[10];switch(x){case"XYZ":this._y=Math.asin(ta(te,-1,1)),Math.abs(te)<.9999999?(this._x=Math.atan2(-ae,ue),this._z=Math.atan2(-ee,z)):(this._x=Math.atan2(le,ie),this._z=0);break;case"YXZ":this._x=Math.asin(-ta(ae,-1,1)),Math.abs(ae)<.9999999?(this._y=Math.atan2(te,ue),this._z=Math.atan2(ne,ie)):(this._y=Math.atan2(-oe,z),this._z=0);break;case"ZXY":this._x=Math.asin(ta(le,-1,1)),Math.abs(le)<.9999999?(this._y=Math.atan2(-oe,ue),this._z=Math.atan2(-ee,ie)):(this._y=0,this._z=Math.atan2(ne,z));break;case"ZYX":this._y=Math.asin(-ta(oe,-1,1)),Math.abs(oe)<.9999999?(this._x=Math.atan2(le,ue),this._z=Math.atan2(ne,z)):(this._x=0,this._z=Math.atan2(-ee,ie));break;case"YZX":this._z=Math.asin(ta(ne,-1,1)),Math.abs(ne)<.9999999?(this._x=Math.atan2(-ae,ie),this._y=Math.atan2(-oe,z)):(this._x=0,this._y=Math.atan2(te,ue));break;case"XZY":this._z=Math.asin(-ta(ee,-1,1)),Math.abs(ee)<.9999999?(this._x=Math.atan2(le,ie),this._y=Math.atan2(te,z)):(this._x=Math.atan2(-ae,ue),this._y=0);break;default:wn("Euler: .setFromRotationMatrix() encountered an unknown order: "+x)}return this._order=x,y===!0&&this._onChangeCallback(),this}setFromQuaternion(a,x,y){return wB.makeRotationFromQuaternion(a),this.setFromRotationMatrix(wB,x,y)}setFromVector3(a,x=this._order){return this.set(a.x,a.y,a.z,x)}reorder(a){return CB.setFromEuler(this),this.setFromQuaternion(CB,a)}equals(a){return a._x===this._x&&a._y===this._y&&a._z===this._z&&a._order===this._order}fromArray(a){return this._x=a[0],this._y=a[1],this._z=a[2],a[3]!==void 0&&(this._order=a[3]),this._onChangeCallback(),this}toArray(a=[],x=0){return a[x]=this._x,a[x+1]=this._y,a[x+2]=this._z,a[x+3]=this._order,a}_onChange(a){return this._onChangeCallback=a,this}_onChangeCallback(){}*[Symbol.iterator](){yield this._x,yield this._y,yield this._z,yield this._order}}zf.DEFAULT_ORDER="XYZ";class YC{constructor(){this.mask=1}set(a){this.mask=(1<<a|0)>>>0}enable(a){this.mask|=1<<a|0}enableAll(){this.mask=-1}toggle(a){this.mask^=1<<a|0}disable(a){this.mask&=~(1<<a|0)}disableAll(){this.mask=0}test(a){return(this.mask&a.mask)!==0}isEnabled(a){return(this.mask&(1<<a|0))!==0}}let gR=0;const PB=new ft,IA=new pc,Og=new Fs,y1=new ft,_x=new ft,vR=new ft,AR=new pc,SB=new ft(1,0,0),BB=new ft(0,1,0),MB=new ft(0,0,1),TB={type:"added"},xR={type:"removed"},NA={type:"childadded",child:null},JC={type:"childremoved",child:null};class zu extends Qu{constructor(){super(),this.isObject3D=!0,Object.defineProperty(this,"id",{value:gR++}),this.uuid=Zu(),this.name="",this.type="Object3D",this.parent=null,this.children=[],this.up=zu.DEFAULT_UP.clone();const a=new ft,x=new zf,y=new pc,E=new ft(1,1,1);function z(){y.setFromEuler(x,!1)}function ee(){x.setFromQuaternion(y,void 0,!1)}x._onChange(z),y._onChange(ee),Object.defineProperties(this,{position:{configurable:!0,enumerable:!0,value:a},rotation:{configurable:!0,enumerable:!0,value:x},quaternion:{configurable:!0,enumerable:!0,value:y},scale:{configurable:!0,enumerable:!0,value:E},modelViewMatrix:{value:new Fs},normalMatrix:{value:new ro}}),this.matrix=new Fs,this.matrixWorld=new Fs,this.matrixAutoUpdate=zu.DEFAULT_MATRIX_AUTO_UPDATE,this.matrixWorldAutoUpdate=zu.DEFAULT_MATRIX_WORLD_AUTO_UPDATE,this.matrixWorldNeedsUpdate=!1,this.layers=new YC,this.visible=!0,this.castShadow=!1,this.receiveShadow=!1,this.frustumCulled=!0,this.renderOrder=0,this.animations=[],this.customDepthMaterial=void 0,this.customDistanceMaterial=void 0,this.userData={}}onBeforeShadow(){}onAfterShadow(){}onBeforeRender(){}onAfterRender(){}applyMatrix4(a){this.matrixAutoUpdate&&this.updateMatrix(),this.matrix.premultiply(a),this.matrix.decompose(this.position,this.quaternion,this.scale)}applyQuaternion(a){return this.quaternion.premultiply(a),this}setRotationFromAxisAngle(a,x){this.quaternion.setFromAxisAngle(a,x)}setRotationFromEuler(a){this.quaternion.setFromEuler(a,!0)}setRotationFromMatrix(a){this.quaternion.setFromRotationMatrix(a)}setRotationFromQuaternion(a){this.quaternion.copy(a)}rotateOnAxis(a,x){return IA.setFromAxisAngle(a,x),this.quaternion.multiply(IA),this}rotateOnWorldAxis(a,x){return IA.setFromAxisAngle(a,x),this.quaternion.premultiply(IA),this}rotateX(a){return this.rotateOnAxis(SB,a)}rotateY(a){return this.rotateOnAxis(BB,a)}rotateZ(a){return this.rotateOnAxis(MB,a)}translateOnAxis(a,x){return PB.copy(a).applyQuaternion(this.quaternion),this.position.add(PB.multiplyScalar(x)),this}translateX(a){return this.translateOnAxis(SB,a)}translateY(a){return this.translateOnAxis(BB,a)}translateZ(a){return this.translateOnAxis(MB,a)}localToWorld(a){return this.updateWorldMatrix(!0,!1),a.applyMatrix4(this.matrixWorld)}worldToLocal(a){return this.updateWorldMatrix(!0,!1),a.applyMatrix4(Og.copy(this.matrixWorld).invert())}lookAt(a,x,y){a.isVector3?y1.copy(a):y1.set(a,x,y);const E=this.parent;this.updateWorldMatrix(!0,!1),_x.setFromMatrixPosition(this.matrixWorld),this.isCamera||this.isLight?Og.lookAt(_x,y1,this.up):Og.lookAt(y1,_x,this.up),this.quaternion.setFromRotationMatrix(Og),E&&(Og.extractRotation(E.matrixWorld),IA.setFromRotationMatrix(Og),this.quaternion.premultiply(IA.invert()))}add(a){if(arguments.length>1){for(let x=0;x<arguments.length;x++)this.add(arguments[x]);return this}return a===this?(cr("Object3D.add: object can't be added as a child of itself.",a),this):(a&&a.isObject3D?(a.removeFromParent(),a.parent=this,this.children.push(a),a.dispatchEvent(TB),NA.child=a,this.dispatchEvent(NA),NA.child=null):cr("Object3D.add: object not an instance of THREE.Object3D.",a),this)}remove(a){if(arguments.length>1){for(let y=0;y<arguments.length;y++)this.remove(arguments[y]);return this}const x=this.children.indexOf(a);return x!==-1&&(a.parent=null,this.children.splice(x,1),a.dispatchEvent(xR),JC.child=a,this.dispatchEvent(JC),JC.child=null),this}removeFromParent(){const a=this.parent;return a!==null&&a.remove(this),this}clear(){return this.remove(...this.children)}attach(a){return this.updateWorldMatrix(!0,!1),Og.copy(this.matrixWorld).invert(),a.parent!==null&&(a.parent.updateWorldMatrix(!0,!1),Og.multiply(a.parent.matrixWorld)),a.applyMatrix4(Og),a.removeFromParent(),a.parent=this,this.children.push(a),a.updateWorldMatrix(!1,!0),a.dispatchEvent(TB),NA.child=a,this.dispatchEvent(NA),NA.child=null,this}getObjectById(a){return this.getObjectByProperty("id",a)}getObjectByName(a){return this.getObjectByProperty("name",a)}getObjectByProperty(a,x){if(this[a]===x)return this;for(let y=0,E=this.children.length;y<E;y++){const ee=this.children[y].getObjectByProperty(a,x);if(ee!==void 0)return ee}}getObjectsByProperty(a,x,y=[]){this[a]===x&&y.push(this);const E=this.children;for(let z=0,ee=E.length;z<ee;z++)E[z].getObjectsByProperty(a,x,y);return y}getWorldPosition(a){return this.updateWorldMatrix(!0,!1),a.setFromMatrixPosition(this.matrixWorld)}getWorldQuaternion(a){return this.updateWorldMatrix(!0,!1),this.matrixWorld.decompose(_x,a,vR),a}getWorldScale(a){return this.updateWorldMatrix(!0,!1),this.matrixWorld.decompose(_x,AR,a),a}getWorldDirection(a){this.updateWorldMatrix(!0,!1);const x=this.matrixWorld.elements;return a.set(x[8],x[9],x[10]).normalize()}raycast(){}traverse(a){a(this);const x=this.children;for(let y=0,E=x.length;y<E;y++)x[y].traverse(a)}traverseVisible(a){if(this.visible===!1)return;a(this);const x=this.children;for(let y=0,E=x.length;y<E;y++)x[y].traverseVisible(a)}traverseAncestors(a){const x=this.parent;x!==null&&(a(x),x.traverseAncestors(a))}updateMatrix(){this.matrix.compose(this.position,this.quaternion,this.scale),this.matrixWorldNeedsUpdate=!0}updateMatrixWorld(a){this.matrixAutoUpdate&&this.updateMatrix(),(this.matrixWorldNeedsUpdate||a)&&(this.matrixWorldAutoUpdate===!0&&(this.parent===null?this.matrixWorld.copy(this.matrix):this.matrixWorld.multiplyMatrices(this.parent.matrixWorld,this.matrix)),this.matrixWorldNeedsUpdate=!1,a=!0);const x=this.children;for(let y=0,E=x.length;y<E;y++)x[y].updateMatrixWorld(a)}updateWorldMatrix(a,x){const y=this.parent;if(a===!0&&y!==null&&y.updateWorldMatrix(!0,!1),this.matrixAutoUpdate&&this.updateMatrix(),this.matrixWorldAutoUpdate===!0&&(this.parent===null?this.matrixWorld.copy(this.matrix):this.matrixWorld.multiplyMatrices(this.parent.matrixWorld,this.matrix)),x===!0){const E=this.children;for(let z=0,ee=E.length;z<ee;z++)E[z].updateWorldMatrix(!1,!0)}}toJSON(a){const x=a===void 0||typeof a=="string",y={};x&&(a={geometries:{},materials:{},textures:{},images:{},shapes:{},skeletons:{},animations:{},nodes:{}},y.metadata={version:4.7,type:"Object",generator:"Object3D.toJSON"});const E={};E.uuid=this.uuid,E.type=this.type,this.name!==""&&(E.name=this.name),this.castShadow===!0&&(E.castShadow=!0),this.receiveShadow===!0&&(E.receiveShadow=!0),this.visible===!1&&(E.visible=!1),this.frustumCulled===!1&&(E.frustumCulled=!1),this.renderOrder!==0&&(E.renderOrder=this.renderOrder),Object.keys(this.userData).length>0&&(E.userData=this.userData),E.layers=this.layers.mask,E.matrix=this.matrix.toArray(),E.up=this.up.toArray(),this.matrixAutoUpdate===!1&&(E.matrixAutoUpdate=!1),this.isInstancedMesh&&(E.type="InstancedMesh",E.count=this.count,E.instanceMatrix=this.instanceMatrix.toJSON(),this.instanceColor!==null&&(E.instanceColor=this.instanceColor.toJSON())),this.isBatchedMesh&&(E.type="BatchedMesh",E.perObjectFrustumCulled=this.perObjectFrustumCulled,E.sortObjects=this.sortObjects,E.drawRanges=this._drawRanges,E.reservedRanges=this._reservedRanges,E.geometryInfo=this._geometryInfo.map(te=>gp($u({},te),{boundingBox:te.boundingBox?te.boundingBox.toJSON():void 0,boundingSphere:te.boundingSphere?te.boundingSphere.toJSON():void 0})),E.instanceInfo=this._instanceInfo.map(te=>$u({},te)),E.availableInstanceIds=this._availableInstanceIds.slice(),E.availableGeometryIds=this._availableGeometryIds.slice(),E.nextIndexStart=this._nextIndexStart,E.nextVertexStart=this._nextVertexStart,E.geometryCount=this._geometryCount,E.maxInstanceCount=this._maxInstanceCount,E.maxVertexCount=this._maxVertexCount,E.maxIndexCount=this._maxIndexCount,E.geometryInitialized=this._geometryInitialized,E.matricesTexture=this._matricesTexture.toJSON(a),E.indirectTexture=this._indirectTexture.toJSON(a),this._colorsTexture!==null&&(E.colorsTexture=this._colorsTexture.toJSON(a)),this.boundingSphere!==null&&(E.boundingSphere=this.boundingSphere.toJSON()),this.boundingBox!==null&&(E.boundingBox=this.boundingBox.toJSON()));function z(te,ne){return te[ne.uuid]===void 0&&(te[ne.uuid]=ne.toJSON(a)),ne.uuid}if(this.isScene)this.background&&(this.background.isColor?E.background=this.background.toJSON():this.background.isTexture&&(E.background=this.background.toJSON(a).uuid)),this.environment&&this.environment.isTexture&&this.environment.isRenderTargetTexture!==!0&&(E.environment=this.environment.toJSON(a).uuid);else if(this.isMesh||this.isLine||this.isPoints){E.geometry=z(a.geometries,this.geometry);const te=this.geometry.parameters;if(te!==void 0&&te.shapes!==void 0){const ne=te.shapes;if(Array.isArray(ne))for(let ie=0,ae=ne.length;ie<ae;ie++){const oe=ne[ie];z(a.shapes,oe)}else z(a.shapes,ne)}}if(this.isSkinnedMesh&&(E.bindMode=this.bindMode,E.bindMatrix=this.bindMatrix.toArray(),this.skeleton!==void 0&&(z(a.skeletons,this.skeleton),E.skeleton=this.skeleton.uuid)),this.material!==void 0)if(Array.isArray(this.material)){const te=[];for(let ne=0,ie=this.material.length;ne<ie;ne++)te.push(z(a.materials,this.material[ne]));E.material=te}else E.material=z(a.materials,this.material);if(this.children.length>0){E.children=[];for(let te=0;te<this.children.length;te++)E.children.push(this.children[te].toJSON(a).object)}if(this.animations.length>0){E.animations=[];for(let te=0;te<this.animations.length;te++){const ne=this.animations[te];E.animations.push(z(a.animations,ne))}}if(x){const te=ee(a.geometries),ne=ee(a.materials),ie=ee(a.textures),ae=ee(a.images),oe=ee(a.shapes),le=ee(a.skeletons),ue=ee(a.animations),he=ee(a.nodes);te.length>0&&(y.geometries=te),ne.length>0&&(y.materials=ne),ie.length>0&&(y.textures=ie),ae.length>0&&(y.images=ae),oe.length>0&&(y.shapes=oe),le.length>0&&(y.skeletons=le),ue.length>0&&(y.animations=ue),he.length>0&&(y.nodes=he)}return y.object=E,y;function ee(te){const ne=[];for(const ie in te){const ae=te[ie];delete ae.metadata,ne.push(ae)}return ne}}clone(a){return new this.constructor().copy(this,a)}copy(a,x=!0){if(this.name=a.name,this.up.copy(a.up),this.position.copy(a.position),this.rotation.order=a.rotation.order,this.quaternion.copy(a.quaternion),this.scale.copy(a.scale),this.matrix.copy(a.matrix),this.matrixWorld.copy(a.matrixWorld),this.matrixAutoUpdate=a.matrixAutoUpdate,this.matrixWorldAutoUpdate=a.matrixWorldAutoUpdate,this.matrixWorldNeedsUpdate=a.matrixWorldNeedsUpdate,this.layers.mask=a.layers.mask,this.visible=a.visible,this.castShadow=a.castShadow,this.receiveShadow=a.receiveShadow,this.frustumCulled=a.frustumCulled,this.renderOrder=a.renderOrder,this.animations=a.animations.slice(),this.userData=JSON.parse(JSON.stringify(a.userData)),x===!0)for(let y=0;y<a.children.length;y++){const E=a.children[y];this.add(E.clone())}return this}}zu.DEFAULT_UP=new ft(0,1,0),zu.DEFAULT_MATRIX_AUTO_UPDATE=!0,zu.DEFAULT_MATRIX_WORLD_AUTO_UPDATE=!0;const Gp=new ft,zg=new ft,KC=new ft,kg=new ft,FA=new ft,LA=new ft,DB=new ft,qC=new ft,_C=new ft,$C=new ft,e3=new la,t3=new la,n3=new la;class Ah{constructor(a=new ft,x=new ft,y=new ft){this.a=a,this.b=x,this.c=y}static getNormal(a,x,y,E){E.subVectors(y,x),Gp.subVectors(a,x),E.cross(Gp);const z=E.lengthSq();return z>0?E.multiplyScalar(1/Math.sqrt(z)):E.set(0,0,0)}static getBarycoord(a,x,y,E,z){Gp.subVectors(E,x),zg.subVectors(y,x),KC.subVectors(a,x);const ee=Gp.dot(Gp),te=Gp.dot(zg),ne=Gp.dot(KC),ie=zg.dot(zg),ae=zg.dot(KC),oe=ee*ie-te*te;if(oe===0)return z.set(0,0,0),null;const le=1/oe,ue=(ie*ne-te*ae)*le,he=(ee*ae-te*ne)*le;return z.set(1-ue-he,he,ue)}static containsPoint(a,x,y,E){return this.getBarycoord(a,x,y,E,kg)===null?!1:kg.x>=0&&kg.y>=0&&kg.x+kg.y<=1}static getInterpolation(a,x,y,E,z,ee,te,ne){return this.getBarycoord(a,x,y,E,kg)===null?(ne.x=0,ne.y=0,"z"in ne&&(ne.z=0),"w"in ne&&(ne.w=0),null):(ne.setScalar(0),ne.addScaledVector(z,kg.x),ne.addScaledVector(ee,kg.y),ne.addScaledVector(te,kg.z),ne)}static getInterpolatedAttribute(a,x,y,E,z,ee){return e3.setScalar(0),t3.setScalar(0),n3.setScalar(0),e3.fromBufferAttribute(a,x),t3.fromBufferAttribute(a,y),n3.fromBufferAttribute(a,E),ee.setScalar(0),ee.addScaledVector(e3,z.x),ee.addScaledVector(t3,z.y),ee.addScaledVector(n3,z.z),ee}static isFrontFacing(a,x,y,E){return Gp.subVectors(y,x),zg.subVectors(a,x),Gp.cross(zg).dot(E)<0}set(a,x,y){return this.a.copy(a),this.b.copy(x),this.c.copy(y),this}setFromPointsAndIndices(a,x,y,E){return this.a.copy(a[x]),this.b.copy(a[y]),this.c.copy(a[E]),this}setFromAttributeAndIndices(a,x,y,E){return this.a.fromBufferAttribute(a,x),this.b.fromBufferAttribute(a,y),this.c.fromBufferAttribute(a,E),this}clone(){return new this.constructor().copy(this)}copy(a){return this.a.copy(a.a),this.b.copy(a.b),this.c.copy(a.c),this}getArea(){return Gp.subVectors(this.c,this.b),zg.subVectors(this.a,this.b),Gp.cross(zg).length()*.5}getMidpoint(a){return a.addVectors(this.a,this.b).add(this.c).multiplyScalar(1/3)}getNormal(a){return Ah.getNormal(this.a,this.b,this.c,a)}getPlane(a){return a.setFromCoplanarPoints(this.a,this.b,this.c)}getBarycoord(a,x){return Ah.getBarycoord(a,this.a,this.b,this.c,x)}getInterpolation(a,x,y,E,z){return Ah.getInterpolation(a,this.a,this.b,this.c,x,y,E,z)}containsPoint(a){return Ah.containsPoint(a,this.a,this.b,this.c)}isFrontFacing(a){return Ah.isFrontFacing(this.a,this.b,this.c,a)}intersectsBox(a){return a.intersectsTriangle(this)}closestPointToPoint(a,x){const y=this.a,E=this.b,z=this.c;let ee,te;FA.subVectors(E,y),LA.subVectors(z,y),qC.subVectors(a,y);const ne=FA.dot(qC),ie=LA.dot(qC);if(ne<=0&&ie<=0)return x.copy(y);_C.subVectors(a,E);const ae=FA.dot(_C),oe=LA.dot(_C);if(ae>=0&&oe<=ae)return x.copy(E);const le=ne*oe-ae*ie;if(le<=0&&ne>=0&&ae<=0)return ee=ne/(ne-ae),x.copy(y).addScaledVector(FA,ee);$C.subVectors(a,z);const ue=FA.dot($C),he=LA.dot($C);if(he>=0&&ue<=he)return x.copy(z);const xe=ue*ie-ne*he;if(xe<=0&&ie>=0&&he<=0)return te=ie/(ie-he),x.copy(y).addScaledVector(LA,te);const ve=ae*he-ue*oe;if(ve<=0&&oe-ae>=0&&ue-he>=0)return DB.subVectors(z,E),te=(oe-ae)/(oe-ae+(ue-he)),x.copy(E).addScaledVector(DB,te);const me=1/(ve+xe+le);return ee=xe*me,te=le*me,x.copy(y).addScaledVector(FA,ee).addScaledVector(LA,te)}equals(a){return a.a.equals(this.a)&&a.b.equals(this.b)&&a.c.equals(this.c)}}const IB={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074},F0={h:0,s:0,l:0},b1={h:0,s:0,l:0};function r3(b,a,x){return x<0&&(x+=1),x>1&&(x-=1),x<1/6?b+(a-b)*6*x:x<1/2?a:x<2/3?b+(a-b)*6*(2/3-x):b}class Ki{constructor(a,x,y){return this.isColor=!0,this.r=1,this.g=1,this.b=1,this.set(a,x,y)}set(a,x,y){if(x===void 0&&y===void 0){const E=a;E&&E.isColor?this.copy(E):typeof E=="number"?this.setHex(E):typeof E=="string"&&this.setStyle(E)}else this.setRGB(a,x,y);return this}setScalar(a){return this.r=a,this.g=a,this.b=a,this}setHex(a,x=yt){return a=Math.floor(a),this.r=(a>>16&255)/255,this.g=(a>>8&255)/255,this.b=(a&255)/255,ba.colorSpaceToWorking(this,x),this}setRGB(a,x,y,E=ba.workingColorSpace){return this.r=a,this.g=x,this.b=y,ba.colorSpaceToWorking(this,E),this}setHSL(a,x,y,E=ba.workingColorSpace){if(a=Mg(a,1),x=ta(x,0,1),y=ta(y,0,1),x===0)this.r=this.g=this.b=y;else{const z=y<=.5?y*(1+x):y+x-y*x,ee=2*y-z;this.r=r3(ee,z,a+1/3),this.g=r3(ee,z,a),this.b=r3(ee,z,a-1/3)}return ba.colorSpaceToWorking(this,E),this}setStyle(a,x=yt){function y(z){z!==void 0&&parseFloat(z)<1&&wn("Color: Alpha 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this.setRGB(parseInt(z.charAt(0),16)/15,parseInt(z.charAt(1),16)/15,parseInt(z.charAt(2),16)/15,x);if(ee===6)return this.setHex(parseInt(z,16),x);wn("Color: Invalid hex color "+a)}else if(a&&a.length>0)return this.setColorName(a,x);return this}setColorName(a,x=yt){const y=IB[a.toLowerCase()];return y!==void 0?this.setHex(y,x):wn("Color: Unknown color "+a),this}clone(){return new this.constructor(this.r,this.g,this.b)}copy(a){return this.r=a.r,this.g=a.g,this.b=a.b,this}copySRGBToLinear(a){return this.r=Ng(a.r),this.g=Ng(a.g),this.b=Ng(a.b),this}copyLinearToSRGB(a){return this.r=CA(a.r),this.g=CA(a.g),this.b=CA(a.b),this}convertSRGBToLinear(){return this.copySRGBToLinear(this),this}convertLinearToSRGB(){return this.copyLinearToSRGB(this),this}getHex(a=yt){return ba.workingToColorSpace(Zd.copy(this),a),Math.round(ta(Zd.r*255,0,255))*65536+Math.round(ta(Zd.g*255,0,255))*256+Math.round(ta(Zd.b*255,0,255))}getHexString(a=yt){return("000000"+this.getHex(a).toString(16)).slice(-6)}getHSL(a,x=ba.workingColorSpace){ba.workingToColorSpace(Zd.copy(this),x);const y=Zd.r,E=Zd.g,z=Zd.b,ee=Math.max(y,E,z),te=Math.min(y,E,z);let ne,ie;const ae=(te+ee)/2;if(te===ee)ne=0,ie=0;else{const oe=ee-te;switch(ie=ae<=.5?oe/(ee+te):oe/(2-ee-te),ee){case y:ne=(E-z)/oe+(E<z?6:0);break;case E:ne=(z-y)/oe+2;break;case z:ne=(y-E)/oe+4;break}ne/=6}return a.h=ne,a.s=ie,a.l=ae,a}getRGB(a,x=ba.workingColorSpace){return ba.workingToColorSpace(Zd.copy(this),x),a.r=Zd.r,a.g=Zd.g,a.b=Zd.b,a}getStyle(a=yt){ba.workingToColorSpace(Zd.copy(this),a);const x=Zd.r,y=Zd.g,E=Zd.b;return a!==yt?`color(${a} ${x.toFixed(3)} ${y.toFixed(3)} ${E.toFixed(3)})`:`rgb(${Math.round(x*255)},${Math.round(y*255)},${Math.round(E*255)})`}offsetHSL(a,x,y){return this.getHSL(F0),this.setHSL(F0.h+a,F0.s+x,F0.l+y)}add(a){return this.r+=a.r,this.g+=a.g,this.b+=a.b,this}addColors(a,x){return this.r=a.r+x.r,this.g=a.g+x.g,this.b=a.b+x.b,this}addScalar(a){return this.r+=a,this.g+=a,this.b+=a,this}sub(a){return this.r=Math.max(0,this.r-a.r),this.g=Math.max(0,this.g-a.g),this.b=Math.max(0,this.b-a.b),this}multiply(a){return this.r*=a.r,this.g*=a.g,this.b*=a.b,this}multiplyScalar(a){return this.r*=a,this.g*=a,this.b*=a,this}lerp(a,x){return this.r+=(a.r-this.r)*x,this.g+=(a.g-this.g)*x,this.b+=(a.b-this.b)*x,this}lerpColors(a,x,y){return this.r=a.r+(x.r-a.r)*y,this.g=a.g+(x.g-a.g)*y,this.b=a.b+(x.b-a.b)*y,this}lerpHSL(a,x){this.getHSL(F0),a.getHSL(b1);const y=Qd(F0.h,b1.h,x),E=Qd(F0.s,b1.s,x),z=Qd(F0.l,b1.l,x);return this.setHSL(y,E,z),this}setFromVector3(a){return this.r=a.x,this.g=a.y,this.b=a.z,this}applyMatrix3(a){const x=this.r,y=this.g,E=this.b,z=a.elements;return this.r=z[0]*x+z[3]*y+z[6]*E,this.g=z[1]*x+z[4]*y+z[7]*E,this.b=z[2]*x+z[5]*y+z[8]*E,this}equals(a){return a.r===this.r&&a.g===this.g&&a.b===this.b}fromArray(a,x=0){return this.r=a[x],this.g=a[x+1],this.b=a[x+2],this}toArray(a=[],x=0){return a[x]=this.r,a[x+1]=this.g,a[x+2]=this.b,a}fromBufferAttribute(a,x){return this.r=a.getX(x),this.g=a.getY(x),this.b=a.getZ(x),this}toJSON(){return this.getHex()}*[Symbol.iterator](){yield this.r,yield this.g,yield this.b}}const Zd=new Ki;Ki.NAMES=IB;let yR=0;class Pd extends Qu{constructor(){super(),this.isMaterial=!0,Object.defineProperty(this,"id",{value:yR++}),this.uuid=Zu(),this.name="",this.type="Material",this.blending=cc,this.side=Ol,this.vertexColors=!1,this.opacity=1,this.transparent=!1,this.alphaHash=!1,this.blendSrc=td,this.blendDst=Bc,this.blendEquation=uu,this.blendSrcAlpha=null,this.blendDstAlpha=null,this.blendEquationAlpha=null,this.blendColor=new Ki(0,0,0),this.blendAlpha=0,this.depthFunc=xd,this.depthTest=!0,this.depthWrite=!0,this.stencilWriteMask=255,this.stencilFunc=Yl,this.stencilRef=0,this.stencilFuncMask=255,this.stencilFail=Dr,this.stencilZFail=Dr,this.stencilZPass=Dr,this.stencilWrite=!1,this.clippingPlanes=null,this.clipIntersection=!1,this.clipShadows=!1,this.shadowSide=null,this.colorWrite=!0,this.precision=null,this.polygonOffset=!1,this.polygonOffsetFactor=0,this.polygonOffsetUnits=0,this.dithering=!1,this.alphaToCoverage=!1,this.premultipliedAlpha=!1,this.forceSinglePass=!1,this.allowOverride=!0,this.visible=!0,this.toneMapped=!0,this.userData={},this.version=0,this._alphaTest=0}get alphaTest(){return this._alphaTest}set alphaTest(a){this._alphaTest>0!=a>0&&this.version++,this._alphaTest=a}onBeforeRender(){}onBeforeCompile(){}customProgramCacheKey(){return this.onBeforeCompile.toString()}setValues(a){if(a!==void 0)for(const x in a){const y=a[x];if(y===void 0){wn(`Material: parameter '${x}' has value of undefined.`);continue}const E=this[x];if(E===void 0){wn(`Material: '${x}' is not a property of THREE.${this.type}.`);continue}E&&E.isColor?E.set(y):E&&E.isVector3&&y&&y.isVector3?E.copy(y):this[x]=y}}toJSON(a){const x=a===void 0||typeof a=="string";x&&(a={textures:{},images:{}});const y={metadata:{version:4.7,type:"Material",generator:"Material.toJSON"}};y.uuid=this.uuid,y.type=this.type,this.name!==""&&(y.name=this.name),this.color&&this.color.isColor&&(y.color=this.color.getHex()),this.roughness!==void 0&&(y.roughness=this.roughness),this.metalness!==void 0&&(y.metalness=this.metalness),this.sheen!==void 0&&(y.sheen=this.sheen),this.sheenColor&&this.sheenColor.isColor&&(y.sheenColor=this.sheenColor.getHex()),this.sheenRoughness!==void 0&&(y.sheenRoughness=this.sheenRoughness),this.emissive&&this.emissive.isColor&&(y.emissive=this.emissive.getHex()),this.emissiveIntensity!==void 0&&this.emissiveIntensity!==1&&(y.emissiveIntensity=this.emissiveIntensity),this.specular&&this.specular.isColor&&(y.specular=this.specular.getHex()),this.specularIntensity!==void 0&&(y.specularIntensity=this.specularIntensity),this.specularColor&&this.specularColor.isColor&&(y.specularColor=this.specularColor.getHex()),this.shininess!==void 0&&(y.shininess=this.shininess),this.clearcoat!==void 0&&(y.clearcoat=this.clearcoat),this.clearcoatRoughness!==void 0&&(y.clearcoatRoughness=this.clearcoatRoughness),this.clearcoatMap&&this.clearcoatMap.isTexture&&(y.clearcoatMap=this.clearcoatMap.toJSON(a).uuid),this.clearcoatRoughnessMap&&this.clearcoatRoughnessMap.isTexture&&(y.clearcoatRoughnessMap=this.clearcoatRoughnessMap.toJSON(a).uuid),this.clearcoatNormalMap&&this.clearcoatNormalMap.isTexture&&(y.clearcoatNormalMap=this.clearcoatNormalMap.toJSON(a).uuid,y.clearcoatNormalScale=this.clearcoatNormalScale.toArray()),this.sheenColorMap&&this.sheenColorMap.isTexture&&(y.sheenColorMap=this.sheenColorMap.toJSON(a).uuid),this.sheenRoughnessMap&&this.sheenRoughnessMap.isTexture&&(y.sheenRoughnessMap=this.sheenRoughnessMap.toJSON(a).uuid),this.dispersion!==void 0&&(y.dispersion=this.dispersion),this.iridescence!==void 0&&(y.iridescence=this.iridescence),this.iridescenceIOR!==void 0&&(y.iridescenceIOR=this.iridescenceIOR),this.iridescenceThicknessRange!==void 0&&(y.iridescenceThicknessRange=this.iridescenceThicknessRange),this.iridescenceMap&&this.iridescenceMap.isTexture&&(y.iridescenceMap=this.iridescenceMap.toJSON(a).uuid),this.iridescenceThicknessMap&&this.iridescenceThicknessMap.isTexture&&(y.iridescenceThicknessMap=this.iridescenceThicknessMap.toJSON(a).uuid),this.anisotropy!==void 0&&(y.anisotropy=this.anisotropy),this.anisotropyRotation!==void 0&&(y.anisotropyRotation=this.anisotropyRotation),this.anisotropyMap&&this.anisotropyMap.isTexture&&(y.anisotropyMap=this.anisotropyMap.toJSON(a).uuid),this.map&&this.map.isTexture&&(y.map=this.map.toJSON(a).uuid),this.matcap&&this.matcap.isTexture&&(y.matcap=this.matcap.toJSON(a).uuid),this.alphaMap&&this.alphaMap.isTexture&&(y.alphaMap=this.alphaMap.toJSON(a).uuid),this.lightMap&&this.lightMap.isTexture&&(y.lightMap=this.lightMap.toJSON(a).uuid,y.lightMapIntensity=this.lightMapIntensity),this.aoMap&&this.aoMap.isTexture&&(y.aoMap=this.aoMap.toJSON(a).uuid,y.aoMapIntensity=this.aoMapIntensity),this.bumpMap&&this.bumpMap.isTexture&&(y.bumpMap=this.bumpMap.toJSON(a).uuid,y.bumpScale=this.bumpScale),this.normalMap&&this.normalMap.isTexture&&(y.normalMap=this.normalMap.toJSON(a).uuid,y.normalMapType=this.normalMapType,y.normalScale=this.normalScale.toArray()),this.displacementMap&&this.displacementMap.isTexture&&(y.displacementMap=this.displacementMap.toJSON(a).uuid,y.displacementScale=this.displacementScale,y.displacementBias=this.displacementBias),this.roughnessMap&&this.roughnessMap.isTexture&&(y.roughnessMap=this.roughnessMap.toJSON(a).uuid),this.metalnessMap&&this.metalnessMap.isTexture&&(y.metalnessMap=this.metalnessMap.toJSON(a).uuid),this.emissiveMap&&this.emissiveMap.isTexture&&(y.emissiveMap=this.emissiveMap.toJSON(a).uuid),this.specularMap&&this.specularMap.isTexture&&(y.specularMap=this.specularMap.toJSON(a).uuid),this.specularIntensityMap&&this.specularIntensityMap.isTexture&&(y.specularIntensityMap=this.specularIntensityMap.toJSON(a).uuid),this.specularColorMap&&this.specularColorMap.isTexture&&(y.specularColorMap=this.specularColorMap.toJSON(a).uuid),this.envMap&&this.envMap.isTexture&&(y.envMap=this.envMap.toJSON(a).uuid,this.combine!==void 0&&(y.combine=this.combine)),this.envMapRotation!==void 0&&(y.envMapRotation=this.envMapRotation.toArray()),this.envMapIntensity!==void 0&&(y.envMapIntensity=this.envMapIntensity),this.reflectivity!==void 0&&(y.reflectivity=this.reflectivity),this.refractionRatio!==void 0&&(y.refractionRatio=this.refractionRatio),this.gradientMap&&this.gradientMap.isTexture&&(y.gradientMap=this.gradientMap.toJSON(a).uuid),this.transmission!==void 0&&(y.transmission=this.transmission),this.transmissionMap&&this.transmissionMap.isTexture&&(y.transmissionMap=this.transmissionMap.toJSON(a).uuid),this.thickness!==void 0&&(y.thickness=this.thickness),this.thicknessMap&&this.thicknessMap.isTexture&&(y.thicknessMap=this.thicknessMap.toJSON(a).uuid),this.attenuationDistance!==void 0&&this.attenuationDistance!==1/0&&(y.attenuationDistance=this.attenuationDistance),this.attenuationColor!==void 0&&(y.attenuationColor=this.attenuationColor.getHex()),this.size!==void 0&&(y.size=this.size),this.shadowSide!==null&&(y.shadowSide=this.shadowSide),this.sizeAttenuation!==void 0&&(y.sizeAttenuation=this.sizeAttenuation),this.blending!==cc&&(y.blending=this.blending),this.side!==Ol&&(y.side=this.side),this.vertexColors===!0&&(y.vertexColors=!0),this.opacity<1&&(y.opacity=this.opacity),this.transparent===!0&&(y.transparent=!0),this.blendSrc!==td&&(y.blendSrc=this.blendSrc),this.blendDst!==Bc&&(y.blendDst=this.blendDst),this.blendEquation!==uu&&(y.blendEquation=this.blendEquation),this.blendSrcAlpha!==null&&(y.blendSrcAlpha=this.blendSrcAlpha),this.blendDstAlpha!==null&&(y.blendDstAlpha=this.blendDstAlpha),this.blendEquationAlpha!==null&&(y.blendEquationAlpha=this.blendEquationAlpha),this.blendColor&&this.blendColor.isColor&&(y.blendColor=this.blendColor.getHex()),this.blendAlpha!==0&&(y.blendAlpha=this.blendAlpha),this.depthFunc!==xd&&(y.depthFunc=this.depthFunc),this.depthTest===!1&&(y.depthTest=this.depthTest),this.depthWrite===!1&&(y.depthWrite=this.depthWrite),this.colorWrite===!1&&(y.colorWrite=this.colorWrite),this.stencilWriteMask!==255&&(y.stencilWriteMask=this.stencilWriteMask),this.stencilFunc!==Yl&&(y.stencilFunc=this.stencilFunc),this.stencilRef!==0&&(y.stencilRef=this.stencilRef),this.stencilFuncMask!==255&&(y.stencilFuncMask=this.stencilFuncMask),this.stencilFail!==Dr&&(y.stencilFail=this.stencilFail),this.stencilZFail!==Dr&&(y.stencilZFail=this.stencilZFail),this.stencilZPass!==Dr&&(y.stencilZPass=this.stencilZPass),this.stencilWrite===!0&&(y.stencilWrite=this.stencilWrite),this.rotation!==void 0&&this.rotation!==0&&(y.rotation=this.rotation),this.polygonOffset===!0&&(y.polygonOffset=!0),this.polygonOffsetFactor!==0&&(y.polygonOffsetFactor=this.polygonOffsetFactor),this.polygonOffsetUnits!==0&&(y.polygonOffsetUnits=this.polygonOffsetUnits),this.linewidth!==void 0&&this.linewidth!==1&&(y.linewidth=this.linewidth),this.dashSize!==void 0&&(y.dashSize=this.dashSize),this.gapSize!==void 0&&(y.gapSize=this.gapSize),this.scale!==void 0&&(y.scale=this.scale),this.dithering===!0&&(y.dithering=!0),this.alphaTest>0&&(y.alphaTest=this.alphaTest),this.alphaHash===!0&&(y.alphaHash=!0),this.alphaToCoverage===!0&&(y.alphaToCoverage=!0),this.premultipliedAlpha===!0&&(y.premultipliedAlpha=!0),this.forceSinglePass===!0&&(y.forceSinglePass=!0),this.wireframe===!0&&(y.wireframe=!0),this.wireframeLinewidth>1&&(y.wireframeLinewidth=this.wireframeLinewidth),this.wireframeLinecap!=="round"&&(y.wireframeLinecap=this.wireframeLinecap),this.wireframeLinejoin!=="round"&&(y.wireframeLinejoin=this.wireframeLinejoin),this.flatShading===!0&&(y.flatShading=!0),this.visible===!1&&(y.visible=!1),this.toneMapped===!1&&(y.toneMapped=!1),this.fog===!1&&(y.fog=!1),Object.keys(this.userData).length>0&&(y.userData=this.userData);function E(z){const ee=[];for(const te in z){const ne=z[te];delete ne.metadata,ee.push(ne)}return ee}if(x){const z=E(a.textures),ee=E(a.images);z.length>0&&(y.textures=z),ee.length>0&&(y.images=ee)}return y}clone(){return new this.constructor().copy(this)}copy(a){this.name=a.name,this.blending=a.blending,this.side=a.side,this.vertexColors=a.vertexColors,this.opacity=a.opacity,this.transparent=a.transparent,this.blendSrc=a.blendSrc,this.blendDst=a.blendDst,this.blendEquation=a.blendEquation,this.blendSrcAlpha=a.blendSrcAlpha,this.blendDstAlpha=a.blendDstAlpha,this.blendEquationAlpha=a.blendEquationAlpha,this.blendColor.copy(a.blendColor),this.blendAlpha=a.blendAlpha,this.depthFunc=a.depthFunc,this.depthTest=a.depthTest,this.depthWrite=a.depthWrite,this.stencilWriteMask=a.stencilWriteMask,this.stencilFunc=a.stencilFunc,this.stencilRef=a.stencilRef,this.stencilFuncMask=a.stencilFuncMask,this.stencilFail=a.stencilFail,this.stencilZFail=a.stencilZFail,this.stencilZPass=a.stencilZPass,this.stencilWrite=a.stencilWrite;const x=a.clippingPlanes;let y=null;if(x!==null){const E=x.length;y=new Array(E);for(let z=0;z!==E;++z)y[z]=x[z].clone()}return this.clippingPlanes=y,this.clipIntersection=a.clipIntersection,this.clipShadows=a.clipShadows,this.shadowSide=a.shadowSide,this.colorWrite=a.colorWrite,this.precision=a.precision,this.polygonOffset=a.polygonOffset,this.polygonOffsetFactor=a.polygonOffsetFactor,this.polygonOffsetUnits=a.polygonOffsetUnits,this.dithering=a.dithering,this.alphaTest=a.alphaTest,this.alphaHash=a.alphaHash,this.alphaToCoverage=a.alphaToCoverage,this.premultipliedAlpha=a.premultipliedAlpha,this.forceSinglePass=a.forceSinglePass,this.visible=a.visible,this.toneMapped=a.toneMapped,this.userData=JSON.parse(JSON.stringify(a.userData)),this}dispose(){this.dispatchEvent({type:"dispose"})}set needsUpdate(a){a===!0&&this.version++}}class od extends Pd{constructor(a){super(),this.isMeshBasicMaterial=!0,this.type="MeshBasicMaterial",this.color=new Ki(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new zf,this.combine=lh,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.fog=!0,this.setValues(a)}copy(a){return super.copy(a),this.color.copy(a.color),this.map=a.map,this.lightMap=a.lightMap,this.lightMapIntensity=a.lightMapIntensity,this.aoMap=a.aoMap,this.aoMapIntensity=a.aoMapIntensity,this.specularMap=a.specularMap,this.alphaMap=a.alphaMap,this.envMap=a.envMap,this.envMapRotation.copy(a.envMapRotation),this.combine=a.combine,this.reflectivity=a.reflectivity,this.refractionRatio=a.refractionRatio,this.wireframe=a.wireframe,this.wireframeLinewidth=a.wireframeLinewidth,this.wireframeLinecap=a.wireframeLinecap,this.wireframeLinejoin=a.wireframeLinejoin,this.fog=a.fog,this}}const Hg=bR();function bR(){const b=new ArrayBuffer(4),a=new Float32Array(b),x=new Uint32Array(b),y=new Uint32Array(512),E=new Uint32Array(512);for(let ne=0;ne<256;++ne){const ie=ne-127;ie<-27?(y[ne]=0,y[ne|256]=32768,E[ne]=24,E[ne|256]=24):ie<-14?(y[ne]=1024>>-ie-14,y[ne|256]=1024>>-ie-14|32768,E[ne]=-ie-1,E[ne|256]=-ie-1):ie<=15?(y[ne]=ie+15<<10,y[ne|256]=ie+15<<10|32768,E[ne]=13,E[ne|256]=13):ie<128?(y[ne]=31744,y[ne|256]=64512,E[ne]=24,E[ne|256]=24):(y[ne]=31744,y[ne|256]=64512,E[ne]=13,E[ne|256]=13)}const z=new Uint32Array(2048),ee=new Uint32Array(64),te=new Uint32Array(64);for(let ne=1;ne<1024;++ne){let ie=ne<<13,ae=0;for(;!(ie&8388608);)ie<<=1,ae-=8388608;ie&=-8388609,ae+=947912704,z[ne]=ie|ae}for(let ne=1024;ne<2048;++ne)z[ne]=939524096+(ne-1024<<13);for(let ne=1;ne<31;++ne)ee[ne]=ne<<23;ee[31]=1199570944,ee[32]=2147483648;for(let ne=33;ne<63;++ne)ee[ne]=2147483648+(ne-32<<23);ee[63]=3347054592;for(let ne=1;ne<64;++ne)ne!==32&&(te[ne]=1024);return{floatView:a,uint32View:x,baseTable:y,shiftTable:E,mantissaTable:z,exponentTable:ee,offsetTable:te}}function kf(b){Math.abs(b)>65504&&wn("DataUtils.toHalfFloat(): Value out of range."),b=ta(b,-65504,65504),Hg.floatView[0]=b;const a=Hg.uint32View[0],x=a>>23&511;return Hg.baseTable[x]+((a&8388607)>>Hg.shiftTable[x])}function $x(b){const a=b>>10;return Hg.uint32View[0]=Hg.mantissaTable[Hg.offsetTable[a]+(b&1023)]+Hg.exponentTable[a],Hg.floatView[0]}class Bce{static toHalfFloat(a){return kf(a)}static fromHalfFloat(a){return $x(a)}}const Ic=new ft,E1=new ar;let ER=0;class ql{constructor(a,x,y=!1){if(Array.isArray(a))throw new TypeError("THREE.BufferAttribute: array should be a Typed Array.");this.isBufferAttribute=!0,Object.defineProperty(this,"id",{value:ER++}),this.name="",this.array=a,this.itemSize=x,this.count=a!==void 0?a.length/x:0,this.normalized=y,this.usage=cu,this.updateRanges=[],this.gpuType=zl,this.version=0}onUploadCallback(){}set needsUpdate(a){a===!0&&this.version++}setUsage(a){return this.usage=a,this}addUpdateRange(a,x){this.updateRanges.push({start:a,count:x})}clearUpdateRanges(){this.updateRanges.length=0}copy(a){return this.name=a.name,this.array=new a.array.constructor(a.array),this.itemSize=a.itemSize,this.count=a.count,this.normalized=a.normalized,this.usage=a.usage,this.gpuType=a.gpuType,this}copyAt(a,x,y){a*=this.itemSize,y*=x.itemSize;for(let E=0,z=this.itemSize;E<z;E++)this.array[a+E]=x.array[y+E];return this}copyArray(a){return this.array.set(a),this}applyMatrix3(a){if(this.itemSize===2)for(let x=0,y=this.count;x<y;x++)E1.fromBufferAttribute(this,x),E1.applyMatrix3(a),this.setXY(x,E1.x,E1.y);else if(this.itemSize===3)for(let x=0,y=this.count;x<y;x++)Ic.fromBufferAttribute(this,x),Ic.applyMatrix3(a),this.setXYZ(x,Ic.x,Ic.y,Ic.z);return this}applyMatrix4(a){for(let x=0,y=this.count;x<y;x++)Ic.fromBufferAttribute(this,x),Ic.applyMatrix4(a),this.setXYZ(x,Ic.x,Ic.y,Ic.z);return this}applyNormalMatrix(a){for(let x=0,y=this.count;x<y;x++)Ic.fromBufferAttribute(this,x),Ic.applyNormalMatrix(a),this.setXYZ(x,Ic.x,Ic.y,Ic.z);return this}transformDirection(a){for(let x=0,y=this.count;x<y;x++)Ic.fromBufferAttribute(this,x),Ic.transformDirection(a),this.setXYZ(x,Ic.x,Ic.y,Ic.z);return this}set(a,x=0){return this.array.set(a,x),this}getComponent(a,x){let y=this.array[a*this.itemSize+x];return this.normalized&&(y=Dc(y,this.array)),y}setComponent(a,x,y){return this.normalized&&(y=mo(y,this.array)),this.array[a*this.itemSize+x]=y,this}getX(a){let x=this.array[a*this.itemSize];return this.normalized&&(x=Dc(x,this.array)),x}setX(a,x){return this.normalized&&(x=mo(x,this.array)),this.array[a*this.itemSize]=x,this}getY(a){let x=this.array[a*this.itemSize+1];return this.normalized&&(x=Dc(x,this.array)),x}setY(a,x){return this.normalized&&(x=mo(x,this.array)),this.array[a*this.itemSize+1]=x,this}getZ(a){let x=this.array[a*this.itemSize+2];return this.normalized&&(x=Dc(x,this.array)),x}setZ(a,x){return this.normalized&&(x=mo(x,this.array)),this.array[a*this.itemSize+2]=x,this}getW(a){let x=this.array[a*this.itemSize+3];return this.normalized&&(x=Dc(x,this.array)),x}setW(a,x){return this.normalized&&(x=mo(x,this.array)),this.array[a*this.itemSize+3]=x,this}setXY(a,x,y){return a*=this.itemSize,this.normalized&&(x=mo(x,this.array),y=mo(y,this.array)),this.array[a+0]=x,this.array[a+1]=y,this}setXYZ(a,x,y,E){return a*=this.itemSize,this.normalized&&(x=mo(x,this.array),y=mo(y,this.array),E=mo(E,this.array)),this.array[a+0]=x,this.array[a+1]=y,this.array[a+2]=E,this}setXYZW(a,x,y,E,z){return a*=this.itemSize,this.normalized&&(x=mo(x,this.array),y=mo(y,this.array),E=mo(E,this.array),z=mo(z,this.array)),this.array[a+0]=x,this.array[a+1]=y,this.array[a+2]=E,this.array[a+3]=z,this}onUpload(a){return this.onUploadCallback=a,this}clone(){return new this.constructor(this.array,this.itemSize).copy(this)}toJSON(){const a={itemSize:this.itemSize,type:this.array.constructor.name,array:Array.from(this.array),normalized:this.normalized};return this.name!==""&&(a.name=this.name),this.usage!==cu&&(a.usage=this.usage),a}}class Mce extends null{constructor(a,x,y){super(new Int8Array(a),x,y)}}class Tce extends null{constructor(a,x,y){super(new Uint8Array(a),x,y)}}class Dce extends null{constructor(a,x,y){super(new Uint8ClampedArray(a),x,y)}}class Ice extends null{constructor(a,x,y){super(new Int16Array(a),x,y)}}class i3 extends ql{constructor(a,x,y){super(new Uint16Array(a),x,y)}}class Nce extends null{constructor(a,x,y){super(new Int32Array(a),x,y)}}class s3 extends ql{constructor(a,x,y){super(new Uint32Array(a),x,y)}}class NB extends ql{constructor(a,x,y){super(new Uint16Array(a),x,y),this.isFloat16BufferAttribute=!0}getX(a){let x=$x(this.array[a*this.itemSize]);return this.normalized&&(x=Dc(x,this.array)),x}setX(a,x){return this.normalized&&(x=mo(x,this.array)),this.array[a*this.itemSize]=kf(x),this}getY(a){let x=$x(this.array[a*this.itemSize+1]);return this.normalized&&(x=Dc(x,this.array)),x}setY(a,x){return this.normalized&&(x=mo(x,this.array)),this.array[a*this.itemSize+1]=kf(x),this}getZ(a){let x=$x(this.array[a*this.itemSize+2]);return this.normalized&&(x=Dc(x,this.array)),x}setZ(a,x){return this.normalized&&(x=mo(x,this.array)),this.array[a*this.itemSize+2]=kf(x),this}getW(a){let x=$x(this.array[a*this.itemSize+3]);return this.normalized&&(x=Dc(x,this.array)),x}setW(a,x){return this.normalized&&(x=mo(x,this.array)),this.array[a*this.itemSize+3]=kf(x),this}setXY(a,x,y){return a*=this.itemSize,this.normalized&&(x=mo(x,this.array),y=mo(y,this.array)),this.array[a+0]=kf(x),this.array[a+1]=kf(y),this}setXYZ(a,x,y,E){return a*=this.itemSize,this.normalized&&(x=mo(x,this.array),y=mo(y,this.array),E=mo(E,this.array)),this.array[a+0]=kf(x),this.array[a+1]=kf(y),this.array[a+2]=kf(E),this}setXYZW(a,x,y,E,z){return a*=this.itemSize,this.normalized&&(x=mo(x,this.array),y=mo(y,this.array),E=mo(E,this.array),z=mo(z,this.array)),this.array[a+0]=kf(x),this.array[a+1]=kf(y),this.array[a+2]=kf(E),this.array[a+3]=kf(z),this}}class Ls extends ql{constructor(a,x,y){super(new Float32Array(a),x,y)}}let wR=0;const Kh=new Fs,a3=new zu,RA=new ft,xh=new wd,ey=new wd,ld=new ft;class io extends Qu{constructor(){super(),this.isBufferGeometry=!0,Object.defineProperty(this,"id",{value:wR++}),this.uuid=Zu(),this.name="",this.type="BufferGeometry",this.index=null,this.indirect=null,this.attributes={},this.morphAttributes={},this.morphTargetsRelative=!1,this.groups=[],this.boundingBox=null,this.boundingSphere=null,this.drawRange={start:0,count:1/0},this.userData={}}getIndex(){return this.index}setIndex(a){return Array.isArray(a)?this.index=new(Qr(a)?s3:i3)(a,1):this.index=a,this}setIndirect(a){return this.indirect=a,this}getIndirect(){return this.indirect}getAttribute(a){return this.attributes[a]}setAttribute(a,x){return this.attributes[a]=x,this}deleteAttribute(a){return delete this.attributes[a],this}hasAttribute(a){return this.attributes[a]!==void 0}addGroup(a,x,y=0){this.groups.push({start:a,count:x,materialIndex:y})}clearGroups(){this.groups=[]}setDrawRange(a,x){this.drawRange.start=a,this.drawRange.count=x}applyMatrix4(a){const x=this.attributes.position;x!==void 0&&(x.applyMatrix4(a),x.needsUpdate=!0);const y=this.attributes.normal;if(y!==void 0){const z=new ro().getNormalMatrix(a);y.applyNormalMatrix(z),y.needsUpdate=!0}const E=this.attributes.tangent;return E!==void 0&&(E.transformDirection(a),E.needsUpdate=!0),this.boundingBox!==null&&this.computeBoundingBox(),this.boundingSphere!==null&&this.computeBoundingSphere(),this}applyQuaternion(a){return Kh.makeRotationFromQuaternion(a),this.applyMatrix4(Kh),this}rotateX(a){return Kh.makeRotationX(a),this.applyMatrix4(Kh),this}rotateY(a){return Kh.makeRotationY(a),this.applyMatrix4(Kh),this}rotateZ(a){return Kh.makeRotationZ(a),this.applyMatrix4(Kh),this}translate(a,x,y){return Kh.makeTranslation(a,x,y),this.applyMatrix4(Kh),this}scale(a,x,y){return Kh.makeScale(a,x,y),this.applyMatrix4(Kh),this}lookAt(a){return a3.lookAt(a),a3.updateMatrix(),this.applyMatrix4(a3.matrix),this}center(){return this.computeBoundingBox(),this.boundingBox.getCenter(RA).negate(),this.translate(RA.x,RA.y,RA.z),this}setFromPoints(a){const x=this.getAttribute("position");if(x===void 0){const y=[];for(let E=0,z=a.length;E<z;E++){const ee=a[E];y.push(ee.x,ee.y,ee.z||0)}this.setAttribute("position",new Ls(y,3))}else{const y=Math.min(a.length,x.count);for(let E=0;E<y;E++){const z=a[E];x.setXYZ(E,z.x,z.y,z.z||0)}a.length>x.count&&wn("BufferGeometry: Buffer size too small for points data. Use .dispose() and create a new geometry."),x.needsUpdate=!0}return this}computeBoundingBox(){this.boundingBox===null&&(this.boundingBox=new wd);const a=this.attributes.position,x=this.morphAttributes.position;if(a&&a.isGLBufferAttribute){cr("BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box.",this),this.boundingBox.set(new ft(-1/0,-1/0,-1/0),new ft(1/0,1/0,1/0));return}if(a!==void 0){if(this.boundingBox.setFromBufferAttribute(a),x)for(let y=0,E=x.length;y<E;y++){const z=x[y];xh.setFromBufferAttribute(z),this.morphTargetsRelative?(ld.addVectors(this.boundingBox.min,xh.min),this.boundingBox.expandByPoint(ld),ld.addVectors(this.boundingBox.max,xh.max),this.boundingBox.expandByPoint(ld)):(this.boundingBox.expandByPoint(xh.min),this.boundingBox.expandByPoint(xh.max))}}else this.boundingBox.makeEmpty();(isNaN(this.boundingBox.min.x)||isNaN(this.boundingBox.min.y)||isNaN(this.boundingBox.min.z))&&cr('BufferGeometry.computeBoundingBox(): Computed min/max have NaN values. The "position" attribute is likely to have NaN values.',this)}computeBoundingSphere(){this.boundingSphere===null&&(this.boundingSphere=new Cd);const a=this.attributes.position,x=this.morphAttributes.position;if(a&&a.isGLBufferAttribute){cr("BufferGeometry.computeBoundingSphere(): GLBufferAttribute requires a manual bounding sphere.",this),this.boundingSphere.set(new ft,1/0);return}if(a){const y=this.boundingSphere.center;if(xh.setFromBufferAttribute(a),x)for(let z=0,ee=x.length;z<ee;z++){const te=x[z];ey.setFromBufferAttribute(te),this.morphTargetsRelative?(ld.addVectors(xh.min,ey.min),xh.expandByPoint(ld),ld.addVectors(xh.max,ey.max),xh.expandByPoint(ld)):(xh.expandByPoint(ey.min),xh.expandByPoint(ey.max))}xh.getCenter(y);let E=0;for(let z=0,ee=a.count;z<ee;z++)ld.fromBufferAttribute(a,z),E=Math.max(E,y.distanceToSquared(ld));if(x)for(let z=0,ee=x.length;z<ee;z++){const te=x[z],ne=this.morphTargetsRelative;for(let ie=0,ae=te.count;ie<ae;ie++)ld.fromBufferAttribute(te,ie),ne&&(RA.fromBufferAttribute(a,ie),ld.add(RA)),E=Math.max(E,y.distanceToSquared(ld))}this.boundingSphere.radius=Math.sqrt(E),isNaN(this.boundingSphere.radius)&&cr('BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The "position" attribute is likely to have NaN values.',this)}}computeTangents(){const a=this.index,x=this.attributes;if(a===null||x.position===void 0||x.normal===void 0||x.uv===void 0){cr("BufferGeometry: .computeTangents() failed. Missing required attributes (index, position, normal or uv)");return}const y=x.position,E=x.normal,z=x.uv;this.hasAttribute("tangent")===!1&&this.setAttribute("tangent",new ql(new Float32Array(4*y.count),4));const ee=this.getAttribute("tangent"),te=[],ne=[];for(let ze=0;ze<y.count;ze++)te[ze]=new ft,ne[ze]=new ft;const ie=new ft,ae=new ft,oe=new ft,le=new ar,ue=new ar,he=new ar,xe=new ft,ve=new ft;function me(ze,He,Re){ie.fromBufferAttribute(y,ze),ae.fromBufferAttribute(y,He),oe.fromBufferAttribute(y,Re),le.fromBufferAttribute(z,ze),ue.fromBufferAttribute(z,He),he.fromBufferAttribute(z,Re),ae.sub(ie),oe.sub(ie),ue.sub(le),he.sub(le);const Fe=1/(ue.x*he.y-he.x*ue.y);isFinite(Fe)&&(xe.copy(ae).multiplyScalar(he.y).addScaledVector(oe,-ue.y).multiplyScalar(Fe),ve.copy(oe).multiplyScalar(ue.x).addScaledVector(ae,-he.x).multiplyScalar(Fe),te[ze].add(xe),te[He].add(xe),te[Re].add(xe),ne[ze].add(ve),ne[He].add(ve),ne[Re].add(ve))}let Pe=this.groups;Pe.length===0&&(Pe=[{start:0,count:a.count}]);for(let ze=0,He=Pe.length;ze<He;++ze){const Re=Pe[ze],Fe=Re.start,$e=Re.count;for(let pt=Fe,st=Fe+$e;pt<st;pt+=3)me(a.getX(pt+0),a.getX(pt+1),a.getX(pt+2))}const we=new ft,Me=new ft,Le=new ft,De=new ft;function ke(ze){Le.fromBufferAttribute(E,ze),De.copy(Le);const He=te[ze];we.copy(He),we.sub(Le.multiplyScalar(Le.dot(He))).normalize(),Me.crossVectors(De,He);const Fe=Me.dot(ne[ze])<0?-1:1;ee.setXYZW(ze,we.x,we.y,we.z,Fe)}for(let ze=0,He=Pe.length;ze<He;++ze){const Re=Pe[ze],Fe=Re.start,$e=Re.count;for(let pt=Fe,st=Fe+$e;pt<st;pt+=3)ke(a.getX(pt+0)),ke(a.getX(pt+1)),ke(a.getX(pt+2))}}computeVertexNormals(){const a=this.index,x=this.getAttribute("position");if(x!==void 0){let y=this.getAttribute("normal");if(y===void 0)y=new ql(new Float32Array(x.count*3),3),this.setAttribute("normal",y);else for(let le=0,ue=y.count;le<ue;le++)y.setXYZ(le,0,0,0);const E=new ft,z=new ft,ee=new ft,te=new ft,ne=new ft,ie=new ft,ae=new ft,oe=new ft;if(a)for(let le=0,ue=a.count;le<ue;le+=3){const he=a.getX(le+0),xe=a.getX(le+1),ve=a.getX(le+2);E.fromBufferAttribute(x,he),z.fromBufferAttribute(x,xe),ee.fromBufferAttribute(x,ve),ae.subVectors(ee,z),oe.subVectors(E,z),ae.cross(oe),te.fromBufferAttribute(y,he),ne.fromBufferAttribute(y,xe),ie.fromBufferAttribute(y,ve),te.add(ae),ne.add(ae),ie.add(ae),y.setXYZ(he,te.x,te.y,te.z),y.setXYZ(xe,ne.x,ne.y,ne.z),y.setXYZ(ve,ie.x,ie.y,ie.z)}else for(let le=0,ue=x.count;le<ue;le+=3)E.fromBufferAttribute(x,le+0),z.fromBufferAttribute(x,le+1),ee.fromBufferAttribute(x,le+2),ae.subVectors(ee,z),oe.subVectors(E,z),ae.cross(oe),y.setXYZ(le+0,ae.x,ae.y,ae.z),y.setXYZ(le+1,ae.x,ae.y,ae.z),y.setXYZ(le+2,ae.x,ae.y,ae.z);this.normalizeNormals(),y.needsUpdate=!0}}normalizeNormals(){const a=this.attributes.normal;for(let x=0,y=a.count;x<y;x++)ld.fromBufferAttribute(a,x),ld.normalize(),a.setXYZ(x,ld.x,ld.y,ld.z)}toNonIndexed(){function a(te,ne){const ie=te.array,ae=te.itemSize,oe=te.normalized,le=new ie.constructor(ne.length*ae);let ue=0,he=0;for(let xe=0,ve=ne.length;xe<ve;xe++){te.isInterleavedBufferAttribute?ue=ne[xe]*te.data.stride+te.offset:ue=ne[xe]*ae;for(let me=0;me<ae;me++)le[he++]=ie[ue++]}return new ql(le,ae,oe)}if(this.index===null)return wn("BufferGeometry.toNonIndexed(): BufferGeometry is already non-indexed."),this;const x=new io,y=this.index.array,E=this.attributes;for(const te in E){const ne=E[te],ie=a(ne,y);x.setAttribute(te,ie)}const z=this.morphAttributes;for(const te in z){const ne=[],ie=z[te];for(let ae=0,oe=ie.length;ae<oe;ae++){const le=ie[ae],ue=a(le,y);ne.push(ue)}x.morphAttributes[te]=ne}x.morphTargetsRelative=this.morphTargetsRelative;const ee=this.groups;for(let te=0,ne=ee.length;te<ne;te++){const ie=ee[te];x.addGroup(ie.start,ie.count,ie.materialIndex)}return x}toJSON(){const a={metadata:{version:4.7,type:"BufferGeometry",generator:"BufferGeometry.toJSON"}};if(a.uuid=this.uuid,a.type=this.type,this.name!==""&&(a.name=this.name),Object.keys(this.userData).length>0&&(a.userData=this.userData),this.parameters!==void 0){const ne=this.parameters;for(const ie in ne)ne[ie]!==void 0&&(a[ie]=ne[ie]);return a}a.data={attributes:{}};const x=this.index;x!==null&&(a.data.index={type:x.array.constructor.name,array:Array.prototype.slice.call(x.array)});const y=this.attributes;for(const ne in y){const ie=y[ne];a.data.attributes[ne]=ie.toJSON(a.data)}const E={};let z=!1;for(const ne in this.morphAttributes){const ie=this.morphAttributes[ne],ae=[];for(let oe=0,le=ie.length;oe<le;oe++){const ue=ie[oe];ae.push(ue.toJSON(a.data))}ae.length>0&&(E[ne]=ae,z=!0)}z&&(a.data.morphAttributes=E,a.data.morphTargetsRelative=this.morphTargetsRelative);const ee=this.groups;ee.length>0&&(a.data.groups=JSON.parse(JSON.stringify(ee)));const te=this.boundingSphere;return te!==null&&(a.data.boundingSphere=te.toJSON()),a}clone(){return new this.constructor().copy(this)}copy(a){this.index=null,this.attributes={},this.morphAttributes={},this.groups=[],this.boundingBox=null,this.boundingSphere=null;const x={};this.name=a.name;const y=a.index;y!==null&&this.setIndex(y.clone());const E=a.attributes;for(const ie in E){const ae=E[ie];this.setAttribute(ie,ae.clone(x))}const z=a.morphAttributes;for(const ie in z){const ae=[],oe=z[ie];for(let le=0,ue=oe.length;le<ue;le++)ae.push(oe[le].clone(x));this.morphAttributes[ie]=ae}this.morphTargetsRelative=a.morphTargetsRelative;const ee=a.groups;for(let ie=0,ae=ee.length;ie<ae;ie++){const oe=ee[ie];this.addGroup(oe.start,oe.count,oe.materialIndex)}const te=a.boundingBox;te!==null&&(this.boundingBox=te.clone());const ne=a.boundingSphere;return ne!==null&&(this.boundingSphere=ne.clone()),this.drawRange.start=a.drawRange.start,this.drawRange.count=a.drawRange.count,this.userData=a.userData,this}dispose(){this.dispatchEvent({type:"dispose"})}}const FB=new Fs,Av=new TA,w1=new Cd,LB=new ft,C1=new ft,P1=new ft,S1=new ft,o3=new ft,B1=new ft,RB=new ft,M1=new ft;class Il extends zu{constructor(a=new io,x=new od){super(),this.isMesh=!0,this.type="Mesh",this.geometry=a,this.material=x,this.morphTargetDictionary=void 0,this.morphTargetInfluences=void 0,this.count=1,this.updateMorphTargets()}copy(a,x){return super.copy(a,x),a.morphTargetInfluences!==void 0&&(this.morphTargetInfluences=a.morphTargetInfluences.slice()),a.morphTargetDictionary!==void 0&&(this.morphTargetDictionary=Object.assign({},a.morphTargetDictionary)),this.material=Array.isArray(a.material)?a.material.slice():a.material,this.geometry=a.geometry,this}updateMorphTargets(){const x=this.geometry.morphAttributes,y=Object.keys(x);if(y.length>0){const E=x[y[0]];if(E!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let z=0,ee=E.length;z<ee;z++){const te=E[z].name||String(z);this.morphTargetInfluences.push(0),this.morphTargetDictionary[te]=z}}}}getVertexPosition(a,x){const y=this.geometry,E=y.attributes.position,z=y.morphAttributes.position,ee=y.morphTargetsRelative;x.fromBufferAttribute(E,a);const te=this.morphTargetInfluences;if(z&&te){B1.set(0,0,0);for(let ne=0,ie=z.length;ne<ie;ne++){const ae=te[ne],oe=z[ne];ae!==0&&(o3.fromBufferAttribute(oe,a),ee?B1.addScaledVector(o3,ae):B1.addScaledVector(o3.sub(x),ae))}x.add(B1)}return x}raycast(a,x){const y=this.geometry,E=this.material,z=this.matrixWorld;E!==void 0&&(y.boundingSphere===null&&y.computeBoundingSphere(),w1.copy(y.boundingSphere),w1.applyMatrix4(z),Av.copy(a.ray).recast(a.near),!(w1.containsPoint(Av.origin)===!1&&(Av.intersectSphere(w1,LB)===null||Av.origin.distanceToSquared(LB)>xB(a.far-a.near,2)))&&(FB.copy(z).invert(),Av.copy(a.ray).applyMatrix4(FB),!(y.boundingBox!==null&&Av.intersectsBox(y.boundingBox)===!1)&&this._computeIntersections(a,x,Av)))}_computeIntersections(a,x,y){let E;const z=this.geometry,ee=this.material,te=z.index,ne=z.attributes.position,ie=z.attributes.uv,ae=z.attributes.uv1,oe=z.attributes.normal,le=z.groups,ue=z.drawRange;if(te!==null)if(Array.isArray(ee))for(let he=0,xe=le.length;he<xe;he++){const ve=le[he],me=ee[ve.materialIndex],Pe=Math.max(ve.start,ue.start),we=Math.min(te.count,Math.min(ve.start+ve.count,ue.start+ue.count));for(let Me=Pe,Le=we;Me<Le;Me+=3){const De=te.getX(Me),ke=te.getX(Me+1),ze=te.getX(Me+2);E=T1(this,me,a,y,ie,ae,oe,De,ke,ze),E&&(E.faceIndex=Math.floor(Me/3),E.face.materialIndex=ve.materialIndex,x.push(E))}}else{const he=Math.max(0,ue.start),xe=Math.min(te.count,ue.start+ue.count);for(let ve=he,me=xe;ve<me;ve+=3){const Pe=te.getX(ve),we=te.getX(ve+1),Me=te.getX(ve+2);E=T1(this,ee,a,y,ie,ae,oe,Pe,we,Me),E&&(E.faceIndex=Math.floor(ve/3),x.push(E))}}else if(ne!==void 0)if(Array.isArray(ee))for(let he=0,xe=le.length;he<xe;he++){const ve=le[he],me=ee[ve.materialIndex],Pe=Math.max(ve.start,ue.start),we=Math.min(ne.count,Math.min(ve.start+ve.count,ue.start+ue.count));for(let Me=Pe,Le=we;Me<Le;Me+=3){const De=Me,ke=Me+1,ze=Me+2;E=T1(this,me,a,y,ie,ae,oe,De,ke,ze),E&&(E.faceIndex=Math.floor(Me/3),E.face.materialIndex=ve.materialIndex,x.push(E))}}else{const he=Math.max(0,ue.start),xe=Math.min(ne.count,ue.start+ue.count);for(let ve=he,me=xe;ve<me;ve+=3){const Pe=ve,we=ve+1,Me=ve+2;E=T1(this,ee,a,y,ie,ae,oe,Pe,we,Me),E&&(E.faceIndex=Math.floor(ve/3),x.push(E))}}}}function CR(b,a,x,y,E,z,ee,te){let ne;if(a.side===co?ne=y.intersectTriangle(ee,z,E,!0,te):ne=y.intersectTriangle(E,z,ee,a.side===Ol,te),ne===null)return null;M1.copy(te),M1.applyMatrix4(b.matrixWorld);const ie=x.ray.origin.distanceTo(M1);return ie<x.near||ie>x.far?null:{distance:ie,point:M1.clone(),object:b}}function T1(b,a,x,y,E,z,ee,te,ne,ie){b.getVertexPosition(te,C1),b.getVertexPosition(ne,P1),b.getVertexPosition(ie,S1);const ae=CR(b,a,x,y,C1,P1,S1,RB);if(ae){const oe=new ft;Ah.getBarycoord(RB,C1,P1,S1,oe),E&&(ae.uv=Ah.getInterpolatedAttribute(E,te,ne,ie,oe,new ar)),z&&(ae.uv1=Ah.getInterpolatedAttribute(z,te,ne,ie,oe,new ar)),ee&&(ae.normal=Ah.getInterpolatedAttribute(ee,te,ne,ie,oe,new ft),ae.normal.dot(y.direction)>0&&ae.normal.multiplyScalar(-1));const le={a:te,b:ne,c:ie,normal:new ft,materialIndex:0};Ah.getNormal(C1,P1,S1,le.normal),ae.face=le,ae.barycoord=oe}return ae}class L0 extends io{constructor(a=1,x=1,y=1,E=1,z=1,ee=1){super(),this.type="BoxGeometry",this.parameters={width:a,height:x,depth:y,widthSegments:E,heightSegments:z,depthSegments:ee};const te=this;E=Math.floor(E),z=Math.floor(z),ee=Math.floor(ee);const ne=[],ie=[],ae=[],oe=[];let le=0,ue=0;he("z","y","x",-1,-1,y,x,a,ee,z,0),he("z","y","x",1,-1,y,x,-a,ee,z,1),he("x","z","y",1,1,a,y,x,E,ee,2),he("x","z","y",1,-1,a,y,-x,E,ee,3),he("x","y","z",1,-1,a,x,y,E,z,4),he("x","y","z",-1,-1,a,x,-y,E,z,5),this.setIndex(ne),this.setAttribute("position",new Ls(ie,3)),this.setAttribute("normal",new Ls(ae,3)),this.setAttribute("uv",new Ls(oe,2));function he(xe,ve,me,Pe,we,Me,Le,De,ke,ze,He){const Re=Me/ke,Fe=Le/ze,$e=Me/2,pt=Le/2,st=De/2,Ft=ke+1,an=ze+1;let Zn=0,Zt=0;const nt=new ft;for(let Vt=0;Vt<an;Vt++){const vt=Vt*Fe-pt;for(let Yt=0;Yt<Ft;Yt++){const gn=Yt*Re-$e;nt[xe]=gn*Pe,nt[ve]=vt*we,nt[me]=st,ie.push(nt.x,nt.y,nt.z),nt[xe]=0,nt[ve]=0,nt[me]=De>0?1:-1,ae.push(nt.x,nt.y,nt.z),oe.push(Yt/ke),oe.push(1-Vt/ze),Zn+=1}}for(let Vt=0;Vt<ze;Vt++)for(let vt=0;vt<ke;vt++){const Yt=le+vt+Ft*Vt,gn=le+vt+Ft*(Vt+1),fr=le+(vt+1)+Ft*(Vt+1),qt=le+(vt+1)+Ft*Vt;ne.push(Yt,gn,qt),ne.push(gn,fr,qt),Zt+=6}te.addGroup(ue,Zt,He),ue+=Zt,le+=Zn}}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}static fromJSON(a){return new L0(a.width,a.height,a.depth,a.widthSegments,a.heightSegments,a.depthSegments)}}function OA(b){const a={};for(const x in b){a[x]={};for(const y in b[x]){const E=b[x][y];E&&(E.isColor||E.isMatrix3||E.isMatrix4||E.isVector2||E.isVector3||E.isVector4||E.isTexture||E.isQuaternion)?E.isRenderTargetTexture?(wn("UniformsUtils: Textures of render targets cannot be cloned via cloneUniforms() or mergeUniforms()."),a[x][y]=null):a[x][y]=E.clone():Array.isArray(E)?a[x][y]=E.slice():a[x][y]=E}}return a}function bf(b){const a={};for(let x=0;x<b.length;x++){const y=OA(b[x]);for(const E in y)a[E]=y[E]}return a}function PR(b){const a=[];for(let x=0;x<b.length;x++)a.push(b[x].clone());return a}function OB(b){const a=b.getRenderTarget();return a===null?b.outputColorSpace:a.isXRRenderTarget===!0?a.texture.colorSpace:ba.workingColorSpace}const zB={clone:OA,merge:bf};var SR=`void main() {
	gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );
}`,BR=`void main() {
	gl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 );
}`;class qh extends Pd{constructor(a){super(),this.isShaderMaterial=!0,this.type="ShaderMaterial",this.defines={},this.uniforms={},this.uniformsGroups=[],this.vertexShader=SR,this.fragmentShader=BR,this.linewidth=1,this.wireframe=!1,this.wireframeLinewidth=1,this.fog=!1,this.lights=!1,this.clipping=!1,this.forceSinglePass=!0,this.extensions={clipCullDistance:!1,multiDraw:!1},this.defaultAttributeValues={color:[1,1,1],uv:[0,0],uv1:[0,0]},this.index0AttributeName=void 0,this.uniformsNeedUpdate=!1,this.glslVersion=null,a!==void 0&&this.setValues(a)}copy(a){return super.copy(a),this.fragmentShader=a.fragmentShader,this.vertexShader=a.vertexShader,this.uniforms=OA(a.uniforms),this.uniformsGroups=PR(a.uniformsGroups),this.defines=Object.assign({},a.defines),this.wireframe=a.wireframe,this.wireframeLinewidth=a.wireframeLinewidth,this.fog=a.fog,this.lights=a.lights,this.clipping=a.clipping,this.extensions=Object.assign({},a.extensions),this.glslVersion=a.glslVersion,this}toJSON(a){const x=super.toJSON(a);x.glslVersion=this.glslVersion,x.uniforms={};for(const E in this.uniforms){const ee=this.uniforms[E].value;ee&&ee.isTexture?x.uniforms[E]={type:"t",value:ee.toJSON(a).uuid}:ee&&ee.isColor?x.uniforms[E]={type:"c",value:ee.getHex()}:ee&&ee.isVector2?x.uniforms[E]={type:"v2",value:ee.toArray()}:ee&&ee.isVector3?x.uniforms[E]={type:"v3",value:ee.toArray()}:ee&&ee.isVector4?x.uniforms[E]={type:"v4",value:ee.toArray()}:ee&&ee.isMatrix3?x.uniforms[E]={type:"m3",value:ee.toArray()}:ee&&ee.isMatrix4?x.uniforms[E]={type:"m4",value:ee.toArray()}:x.uniforms[E]={value:ee}}Object.keys(this.defines).length>0&&(x.defines=this.defines),x.vertexShader=this.vertexShader,x.fragmentShader=this.fragmentShader,x.lights=this.lights,x.clipping=this.clipping;const y={};for(const E in this.extensions)this.extensions[E]===!0&&(y[E]=!0);return Object.keys(y).length>0&&(x.extensions=y),x}}class D1 extends zu{constructor(){super(),this.isCamera=!0,this.type="Camera",this.matrixWorldInverse=new Fs,this.projectionMatrix=new Fs,this.projectionMatrixInverse=new Fs,this.coordinateSystem=It,this._reversedDepth=!1}get reversedDepth(){return this._reversedDepth}copy(a,x){return super.copy(a,x),this.matrixWorldInverse.copy(a.matrixWorldInverse),this.projectionMatrix.copy(a.projectionMatrix),this.projectionMatrixInverse.copy(a.projectionMatrixInverse),this.coordinateSystem=a.coordinateSystem,this}getWorldDirection(a){return super.getWorldDirection(a).negate()}updateMatrixWorld(a){super.updateMatrixWorld(a),this.matrixWorldInverse.copy(this.matrixWorld).invert()}updateWorldMatrix(a,x){super.updateWorldMatrix(a,x),this.matrixWorldInverse.copy(this.matrixWorld).invert()}clone(){return new this.constructor().copy(this)}}const R0=new ft,kB=new ar,HB=new ar;class gc extends D1{constructor(a=50,x=1,y=.1,E=2e3){super(),this.isPerspectiveCamera=!0,this.type="PerspectiveCamera",this.fov=a,this.zoom=1,this.near=y,this.far=E,this.focus=10,this.aspect=x,this.view=null,this.filmGauge=35,this.filmOffset=0,this.updateProjectionMatrix()}copy(a,x){return super.copy(a,x),this.fov=a.fov,this.zoom=a.zoom,this.near=a.near,this.far=a.far,this.focus=a.focus,this.aspect=a.aspect,this.view=a.view===null?null:Object.assign({},a.view),this.filmGauge=a.filmGauge,this.filmOffset=a.filmOffset,this}setFocalLength(a){const x=.5*this.getFilmHeight()/a;this.fov=gu*2*Math.atan(x),this.updateProjectionMatrix()}getFocalLength(){const a=Math.tan(ad*.5*this.fov);return .5*this.getFilmHeight()/a}getEffectiveFOV(){return gu*2*Math.atan(Math.tan(ad*.5*this.fov)/this.zoom)}getFilmWidth(){return this.filmGauge*Math.min(this.aspect,1)}getFilmHeight(){return this.filmGauge/Math.max(this.aspect,1)}getViewBounds(a,x,y){R0.set(-1,-1,.5).applyMatrix4(this.projectionMatrixInverse),x.set(R0.x,R0.y).multiplyScalar(-a/R0.z),R0.set(1,1,.5).applyMatrix4(this.projectionMatrixInverse),y.set(R0.x,R0.y).multiplyScalar(-a/R0.z)}getViewSize(a,x){return this.getViewBounds(a,kB,HB),x.subVectors(HB,kB)}setViewOffset(a,x,y,E,z,ee){this.aspect=a/x,this.view===null&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=a,this.view.fullHeight=x,this.view.offsetX=y,this.view.offsetY=E,this.view.width=z,this.view.height=ee,this.updateProjectionMatrix()}clearViewOffset(){this.view!==null&&(this.view.enabled=!1),this.updateProjectionMatrix()}updateProjectionMatrix(){const a=this.near;let x=a*Math.tan(ad*.5*this.fov)/this.zoom,y=2*x,E=this.aspect*y,z=-.5*E;const ee=this.view;if(this.view!==null&&this.view.enabled){const ne=ee.fullWidth,ie=ee.fullHeight;z+=ee.offsetX*E/ne,x-=ee.offsetY*y/ie,E*=ee.width/ne,y*=ee.height/ie}const te=this.filmOffset;te!==0&&(z+=a*te/this.getFilmWidth()),this.projectionMatrix.makePerspective(z,z+E,x,x-y,a,this.far,this.coordinateSystem,this.reversedDepth),this.projectionMatrixInverse.copy(this.projectionMatrix).invert()}toJSON(a){const x=super.toJSON(a);return x.object.fov=this.fov,x.object.zoom=this.zoom,x.object.near=this.near,x.object.far=this.far,x.object.focus=this.focus,x.object.aspect=this.aspect,this.view!==null&&(x.object.view=Object.assign({},this.view)),x.object.filmGauge=this.filmGauge,x.object.filmOffset=this.filmOffset,x}}const zA=-90,kA=1;class UB extends zu{constructor(a,x,y){super(),this.type="CubeCamera",this.renderTarget=y,this.coordinateSystem=null,this.activeMipmapLevel=0;const E=new gc(zA,kA,a,x);E.layers=this.layers,this.add(E);const z=new gc(zA,kA,a,x);z.layers=this.layers,this.add(z);const ee=new gc(zA,kA,a,x);ee.layers=this.layers,this.add(ee);const te=new gc(zA,kA,a,x);te.layers=this.layers,this.add(te);const ne=new gc(zA,kA,a,x);ne.layers=this.layers,this.add(ne);const ie=new gc(zA,kA,a,x);ie.layers=this.layers,this.add(ie)}updateCoordinateSystem(){const a=this.coordinateSystem,x=this.children.concat(),[y,E,z,ee,te,ne]=x;for(const ie of x)this.remove(ie);if(a===It)y.up.set(0,1,0),y.lookAt(1,0,0),E.up.set(0,1,0),E.lookAt(-1,0,0),z.up.set(0,0,-1),z.lookAt(0,1,0),ee.up.set(0,0,1),ee.lookAt(0,-1,0),te.up.set(0,1,0),te.lookAt(0,0,1),ne.up.set(0,1,0),ne.lookAt(0,0,-1);else if(a===bt)y.up.set(0,-1,0),y.lookAt(-1,0,0),E.up.set(0,-1,0),E.lookAt(1,0,0),z.up.set(0,0,1),z.lookAt(0,1,0),ee.up.set(0,0,-1),ee.lookAt(0,-1,0),te.up.set(0,-1,0),te.lookAt(0,0,1),ne.up.set(0,-1,0),ne.lookAt(0,0,-1);else throw new Error("THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: "+a);for(const ie of x)this.add(ie),ie.updateMatrixWorld()}update(a,x){this.parent===null&&this.updateMatrixWorld();const{renderTarget:y,activeMipmapLevel:E}=this;this.coordinateSystem!==a.coordinateSystem&&(this.coordinateSystem=a.coordinateSystem,this.updateCoordinateSystem());const[z,ee,te,ne,ie,ae]=this.children,oe=a.getRenderTarget(),le=a.getActiveCubeFace(),ue=a.getActiveMipmapLevel(),he=a.xr.enabled;a.xr.enabled=!1;const xe=y.texture.generateMipmaps;y.texture.generateMipmaps=!1,a.setRenderTarget(y,0,E),a.render(x,z),a.setRenderTarget(y,1,E),a.render(x,ee),a.setRenderTarget(y,2,E),a.render(x,te),a.setRenderTarget(y,3,E),a.render(x,ne),a.setRenderTarget(y,4,E),a.render(x,ie),y.texture.generateMipmaps=xe,a.setRenderTarget(y,5,E),a.render(x,ae),a.setRenderTarget(oe,le,ue),a.xr.enabled=he,y.texture.needsPMREMUpdate=!0}}class xv extends mc{constructor(a=[],x=xa,y,E,z,ee,te,ne,ie,ae){super(a,x,y,E,z,ee,te,ne,ie,ae),this.isCubeTexture=!0,this.flipY=!1}get images(){return this.image}set images(a){this.image=a}}class jB extends M0{constructor(a=1,x={}){super(a,a,x),this.isWebGLCubeRenderTarget=!0;const y={width:a,height:a,depth:1},E=[y,y,y,y,y,y];this.texture=new xv(E),this._setTextureOptions(x),this.texture.isRenderTargetTexture=!0}fromEquirectangularTexture(a,x){this.texture.type=x.type,this.texture.colorSpace=x.colorSpace,this.texture.generateMipmaps=x.generateMipmaps,this.texture.minFilter=x.minFilter,this.texture.magFilter=x.magFilter;const y={uniforms:{tEquirect:{value:null}},vertexShader:`

				varying vec3 vWorldDirection;

				vec3 transformDirection( in vec3 dir, in mat4 matrix ) {

					return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );

				}

				void main() {

					vWorldDirection = transformDirection( position, modelMatrix );

					#include <begin_vertex>
					#include <project_vertex>

				}
			`,fragmentShader:`

				uniform sampler2D tEquirect;

				varying vec3 vWorldDirection;

				#include <common>

				void main() {

					vec3 direction = normalize( vWorldDirection );

					vec2 sampleUV = equirectUv( direction );

					gl_FragColor = texture2D( tEquirect, sampleUV );

				}
			`},E=new L0(5,5,5),z=new qh({name:"CubemapFromEquirect",uniforms:OA(y.uniforms),vertexShader:y.vertexShader,fragmentShader:y.fragmentShader,side:co,blending:tu});z.uniforms.tEquirect.value=x;const ee=new Il(E,z),te=x.minFilter;return x.minFilter===Wu&&(x.minFilter=Co),new UB(1,10,this).update(a,ee),x.minFilter=te,ee.geometry.dispose(),ee.material.dispose(),this}clear(a,x=!0,y=!0,E=!0){const z=a.getRenderTarget();for(let ee=0;ee<6;ee++)a.setRenderTarget(this,ee),a.clear(x,y,E);a.setRenderTarget(z)}}class yv extends zu{constructor(){super(),this.isGroup=!0,this.type="Group"}}const MR={type:"move"};class I1{constructor(){this._targetRay=null,this._grip=null,this._hand=null}getHandSpace(){return this._hand===null&&(this._hand=new yv,this._hand.matrixAutoUpdate=!1,this._hand.visible=!1,this._hand.joints={},this._hand.inputState={pinching:!1}),this._hand}getTargetRaySpace(){return this._targetRay===null&&(this._targetRay=new yv,this._targetRay.matrixAutoUpdate=!1,this._targetRay.visible=!1,this._targetRay.hasLinearVelocity=!1,this._targetRay.linearVelocity=new ft,this._targetRay.hasAngularVelocity=!1,this._targetRay.angularVelocity=new ft),this._targetRay}getGripSpace(){return this._grip===null&&(this._grip=new yv,this._grip.matrixAutoUpdate=!1,this._grip.visible=!1,this._grip.hasLinearVelocity=!1,this._grip.linearVelocity=new ft,this._grip.hasAngularVelocity=!1,this._grip.angularVelocity=new ft),this._grip}dispatchEvent(a){return this._targetRay!==null&&this._targetRay.dispatchEvent(a),this._grip!==null&&this._grip.dispatchEvent(a),this._hand!==null&&this._hand.dispatchEvent(a),this}connect(a){if(a&&a.hand){const x=this._hand;if(x)for(const y of a.hand.values())this._getHandJoint(x,y)}return this.dispatchEvent({type:"connected",data:a}),this}disconnect(a){return this.dispatchEvent({type:"disconnected",data:a}),this._targetRay!==null&&(this._targetRay.visible=!1),this._grip!==null&&(this._grip.visible=!1),this._hand!==null&&(this._hand.visible=!1),this}update(a,x,y){let E=null,z=null,ee=null;const te=this._targetRay,ne=this._grip,ie=this._hand;if(a&&x.session.visibilityState!=="visible-blurred"){if(ie&&a.hand){ee=!0;for(const xe of a.hand.values()){const ve=x.getJointPose(xe,y),me=this._getHandJoint(ie,xe);ve!==null&&(me.matrix.fromArray(ve.transform.matrix),me.matrix.decompose(me.position,me.rotation,me.scale),me.matrixWorldNeedsUpdate=!0,me.jointRadius=ve.radius),me.visible=ve!==null}const ae=ie.joints["index-finger-tip"],oe=ie.joints["thumb-tip"],le=ae.position.distanceTo(oe.position),ue=.02,he=.005;ie.inputState.pinching&&le>ue+he?(ie.inputState.pinching=!1,this.dispatchEvent({type:"pinchend",handedness:a.handedness,target:this})):!ie.inputState.pinching&&le<=ue-he&&(ie.inputState.pinching=!0,this.dispatchEvent({type:"pinchstart",handedness:a.handedness,target:this}))}else ne!==null&&a.gripSpace&&(z=x.getPose(a.gripSpace,y),z!==null&&(ne.matrix.fromArray(z.transform.matrix),ne.matrix.decompose(ne.position,ne.rotation,ne.scale),ne.matrixWorldNeedsUpdate=!0,z.linearVelocity?(ne.hasLinearVelocity=!0,ne.linearVelocity.copy(z.linearVelocity)):ne.hasLinearVelocity=!1,z.angularVelocity?(ne.hasAngularVelocity=!0,ne.angularVelocity.copy(z.angularVelocity)):ne.hasAngularVelocity=!1));te!==null&&(E=x.getPose(a.targetRaySpace,y),E===null&&z!==null&&(E=z),E!==null&&(te.matrix.fromArray(E.transform.matrix),te.matrix.decompose(te.position,te.rotation,te.scale),te.matrixWorldNeedsUpdate=!0,E.linearVelocity?(te.hasLinearVelocity=!0,te.linearVelocity.copy(E.linearVelocity)):te.hasLinearVelocity=!1,E.angularVelocity?(te.hasAngularVelocity=!0,te.angularVelocity.copy(E.angularVelocity)):te.hasAngularVelocity=!1,this.dispatchEvent(MR)))}return te!==null&&(te.visible=E!==null),ne!==null&&(ne.visible=z!==null),ie!==null&&(ie.visible=ee!==null),this}_getHandJoint(a,x){if(a.joints[x.jointName]===void 0){const y=new yv;y.matrixAutoUpdate=!1,y.visible=!1,a.joints[x.jointName]=y,a.add(y)}return a.joints[x.jointName]}}class l3{constructor(a,x=25e-5){this.isFogExp2=!0,this.name="",this.color=new Ki(a),this.density=x}clone(){return new l3(this.color,this.density)}toJSON(){return{type:"FogExp2",name:this.name,color:this.color.getHex(),density:this.density}}}class u3{constructor(a,x=1,y=1e3){this.isFog=!0,this.name="",this.color=new Ki(a),this.near=x,this.far=y}clone(){return new u3(this.color,this.near,this.far)}toJSON(){return{type:"Fog",name:this.name,color:this.color.getHex(),near:this.near,far:this.far}}}class ty extends zu{constructor(){super(),this.isScene=!0,this.type="Scene",this.background=null,this.environment=null,this.fog=null,this.backgroundBlurriness=0,this.backgroundIntensity=1,this.backgroundRotation=new zf,this.environmentIntensity=1,this.environmentRotation=new zf,this.overrideMaterial=null,typeof __THREE_DEVTOOLS__!="undefined"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe",{detail:this}))}copy(a,x){return super.copy(a,x),a.background!==null&&(this.background=a.background.clone()),a.environment!==null&&(this.environment=a.environment.clone()),a.fog!==null&&(this.fog=a.fog.clone()),this.backgroundBlurriness=a.backgroundBlurriness,this.backgroundIntensity=a.backgroundIntensity,this.backgroundRotation.copy(a.backgroundRotation),this.environmentIntensity=a.environmentIntensity,this.environmentRotation.copy(a.environmentRotation),a.overrideMaterial!==null&&(this.overrideMaterial=a.overrideMaterial.clone()),this.matrixAutoUpdate=a.matrixAutoUpdate,this}toJSON(a){const x=super.toJSON(a);return this.fog!==null&&(x.object.fog=this.fog.toJSON()),this.backgroundBlurriness>0&&(x.object.backgroundBlurriness=this.backgroundBlurriness),this.backgroundIntensity!==1&&(x.object.backgroundIntensity=this.backgroundIntensity),x.object.backgroundRotation=this.backgroundRotation.toArray(),this.environmentIntensity!==1&&(x.object.environmentIntensity=this.environmentIntensity),x.object.environmentRotation=this.environmentRotation.toArray(),x}}class N1{constructor(a,x){this.isInterleavedBuffer=!0,this.array=a,this.stride=x,this.count=a!==void 0?a.length/x:0,this.usage=cu,this.updateRanges=[],this.version=0,this.uuid=Zu()}onUploadCallback(){}set needsUpdate(a){a===!0&&this.version++}setUsage(a){return this.usage=a,this}addUpdateRange(a,x){this.updateRanges.push({start:a,count:x})}clearUpdateRanges(){this.updateRanges.length=0}copy(a){return this.array=new a.array.constructor(a.array),this.count=a.count,this.stride=a.stride,this.usage=a.usage,this}copyAt(a,x,y){a*=this.stride,y*=x.stride;for(let E=0,z=this.stride;E<z;E++)this.array[a+E]=x.array[y+E];return this}set(a,x=0){return this.array.set(a,x),this}clone(a){a.arrayBuffers===void 0&&(a.arrayBuffers={}),this.array.buffer._uuid===void 0&&(this.array.buffer._uuid=Zu()),a.arrayBuffers[this.array.buffer._uuid]===void 0&&(a.arrayBuffers[this.array.buffer._uuid]=this.array.slice(0).buffer);const x=new this.array.constructor(a.arrayBuffers[this.array.buffer._uuid]),y=new this.constructor(x,this.stride);return y.setUsage(this.usage),y}onUpload(a){return this.onUploadCallback=a,this}toJSON(a){return a.arrayBuffers===void 0&&(a.arrayBuffers={}),this.array.buffer._uuid===void 0&&(this.array.buffer._uuid=Zu()),a.arrayBuffers[this.array.buffer._uuid]===void 0&&(a.arrayBuffers[this.array.buffer._uuid]=Array.from(new Uint32Array(this.array.buffer))),{uuid:this.uuid,buffer:this.array.buffer._uuid,type:this.array.constructor.name,stride:this.stride}}}const Ef=new ft;class bv{constructor(a,x,y,E=!1){this.isInterleavedBufferAttribute=!0,this.name="",this.data=a,this.itemSize=x,this.offset=y,this.normalized=E}get count(){return this.data.count}get array(){return this.data.array}set needsUpdate(a){this.data.needsUpdate=a}applyMatrix4(a){for(let x=0,y=this.data.count;x<y;x++)Ef.fromBufferAttribute(this,x),Ef.applyMatrix4(a),this.setXYZ(x,Ef.x,Ef.y,Ef.z);return this}applyNormalMatrix(a){for(let x=0,y=this.count;x<y;x++)Ef.fromBufferAttribute(this,x),Ef.applyNormalMatrix(a),this.setXYZ(x,Ef.x,Ef.y,Ef.z);return this}transformDirection(a){for(let x=0,y=this.count;x<y;x++)Ef.fromBufferAttribute(this,x),Ef.transformDirection(a),this.setXYZ(x,Ef.x,Ef.y,Ef.z);return this}getComponent(a,x){let y=this.array[a*this.data.stride+this.offset+x];return this.normalized&&(y=Dc(y,this.array)),y}setComponent(a,x,y){return this.normalized&&(y=mo(y,this.array)),this.data.array[a*this.data.stride+this.offset+x]=y,this}setX(a,x){return this.normalized&&(x=mo(x,this.array)),this.data.array[a*this.data.stride+this.offset]=x,this}setY(a,x){return this.normalized&&(x=mo(x,this.array)),this.data.array[a*this.data.stride+this.offset+1]=x,this}setZ(a,x){return this.normalized&&(x=mo(x,this.array)),this.data.array[a*this.data.stride+this.offset+2]=x,this}setW(a,x){return this.normalized&&(x=mo(x,this.array)),this.data.array[a*this.data.stride+this.offset+3]=x,this}getX(a){let x=this.data.array[a*this.data.stride+this.offset];return this.normalized&&(x=Dc(x,this.array)),x}getY(a){let x=this.data.array[a*this.data.stride+this.offset+1];return this.normalized&&(x=Dc(x,this.array)),x}getZ(a){let x=this.data.array[a*this.data.stride+this.offset+2];return this.normalized&&(x=Dc(x,this.array)),x}getW(a){let x=this.data.array[a*this.data.stride+this.offset+3];return this.normalized&&(x=Dc(x,this.array)),x}setXY(a,x,y){return a=a*this.data.stride+this.offset,this.normalized&&(x=mo(x,this.array),y=mo(y,this.array)),this.data.array[a+0]=x,this.data.array[a+1]=y,this}setXYZ(a,x,y,E){return a=a*this.data.stride+this.offset,this.normalized&&(x=mo(x,this.array),y=mo(y,this.array),E=mo(E,this.array)),this.data.array[a+0]=x,this.data.array[a+1]=y,this.data.array[a+2]=E,this}setXYZW(a,x,y,E,z){return a=a*this.data.stride+this.offset,this.normalized&&(x=mo(x,this.array),y=mo(y,this.array),E=mo(E,this.array),z=mo(z,this.array)),this.data.array[a+0]=x,this.data.array[a+1]=y,this.data.array[a+2]=E,this.data.array[a+3]=z,this}clone(a){if(a===void 0){Ul("InterleavedBufferAttribute.clone(): Cloning an interleaved buffer attribute will de-interleave buffer data.");const x=[];for(let y=0;y<this.count;y++){const E=y*this.data.stride+this.offset;for(let z=0;z<this.itemSize;z++)x.push(this.data.array[E+z])}return new ql(new this.array.constructor(x),this.itemSize,this.normalized)}else return a.interleavedBuffers===void 0&&(a.interleavedBuffers={}),a.interleavedBuffers[this.data.uuid]===void 0&&(a.interleavedBuffers[this.data.uuid]=this.data.clone(a)),new bv(a.interleavedBuffers[this.data.uuid],this.itemSize,this.offset,this.normalized)}toJSON(a){if(a===void 0){Ul("InterleavedBufferAttribute.toJSON(): Serializing an interleaved buffer attribute will de-interleave buffer data.");const x=[];for(let y=0;y<this.count;y++){const E=y*this.data.stride+this.offset;for(let z=0;z<this.itemSize;z++)x.push(this.data.array[E+z])}return{itemSize:this.itemSize,type:this.array.constructor.name,array:x,normalized:this.normalized}}else return a.interleavedBuffers===void 0&&(a.interleavedBuffers={}),a.interleavedBuffers[this.data.uuid]===void 0&&(a.interleavedBuffers[this.data.uuid]=this.data.toJSON(a)),{isInterleavedBufferAttribute:!0,itemSize:this.itemSize,data:this.data.uuid,offset:this.offset,normalized:this.normalized}}}class c3 extends Pd{constructor(a){super(),this.isSpriteMaterial=!0,this.type="SpriteMaterial",this.color=new Ki(16777215),this.map=null,this.alphaMap=null,this.rotation=0,this.sizeAttenuation=!0,this.transparent=!0,this.fog=!0,this.setValues(a)}copy(a){return super.copy(a),this.color.copy(a.color),this.map=a.map,this.alphaMap=a.alphaMap,this.rotation=a.rotation,this.sizeAttenuation=a.sizeAttenuation,this.fog=a.fog,this}}let HA;const ny=new ft,UA=new ft,jA=new ft,VA=new ar,ry=new ar,VB=new Fs,F1=new ft,iy=new ft,L1=new ft,GB=new ar,d3=new ar,XB=new ar;class TR extends null{constructor(a=new c3){if(super(),this.isSprite=!0,this.type="Sprite",HA===void 0){HA=new io;const x=new Float32Array([-.5,-.5,0,0,0,.5,-.5,0,1,0,.5,.5,0,1,1,-.5,.5,0,0,1]),y=new N1(x,5);HA.setIndex([0,1,2,0,2,3]),HA.setAttribute("position",new bv(y,3,0,!1)),HA.setAttribute("uv",new bv(y,2,3,!1))}this.geometry=HA,this.material=a,this.center=new ar(.5,.5),this.count=1}raycast(a,x){a.camera===null&&cr('Sprite: "Raycaster.camera" needs to be set in order to raycast against sprites.'),UA.setFromMatrixScale(this.matrixWorld),VB.copy(a.camera.matrixWorld),this.modelViewMatrix.multiplyMatrices(a.camera.matrixWorldInverse,this.matrixWorld),jA.setFromMatrixPosition(this.modelViewMatrix),a.camera.isPerspectiveCamera&&this.material.sizeAttenuation===!1&&UA.multiplyScalar(-jA.z);const y=this.material.rotation;let E,z;y!==0&&(z=Math.cos(y),E=Math.sin(y));const ee=this.center;R1(F1.set(-.5,-.5,0),jA,ee,UA,E,z),R1(iy.set(.5,-.5,0),jA,ee,UA,E,z),R1(L1.set(.5,.5,0),jA,ee,UA,E,z),GB.set(0,0),d3.set(1,0),XB.set(1,1);let te=a.ray.intersectTriangle(F1,iy,L1,!1,ny);if(te===null&&(R1(iy.set(-.5,.5,0),jA,ee,UA,E,z),d3.set(0,1),te=a.ray.intersectTriangle(F1,L1,iy,!1,ny),te===null))return;const ne=a.ray.origin.distanceTo(ny);ne<a.near||ne>a.far||x.push({distance:ne,point:ny.clone(),uv:Ah.getInterpolation(ny,F1,iy,L1,GB,d3,XB,new ar),face:null,object:this})}copy(a,x){return super.copy(a,x),a.center!==void 0&&this.center.copy(a.center),this.material=a.material,this}}function R1(b,a,x,y,E,z){VA.subVectors(b,x).addScalar(.5).multiply(y),E!==void 0?(ry.x=z*VA.x-E*VA.y,ry.y=E*VA.x+z*VA.y):ry.copy(VA),b.copy(a),b.x+=ry.x,b.y+=ry.y,b.applyMatrix4(VB)}const O1=new ft,WB=new ft;class DR extends null{constructor(){super(),this.isLOD=!0,this._currentLevel=0,this.type="LOD",Object.defineProperties(this,{levels:{enumerable:!0,value:[]}}),this.autoUpdate=!0}copy(a){super.copy(a,!1);const x=a.levels;for(let y=0,E=x.length;y<E;y++){const z=x[y];this.addLevel(z.object.clone(),z.distance,z.hysteresis)}return this.autoUpdate=a.autoUpdate,this}addLevel(a,x=0,y=0){x=Math.abs(x);const E=this.levels;let z;for(z=0;z<E.length&&!(x<E[z].distance);z++);return E.splice(z,0,{distance:x,hysteresis:y,object:a}),this.add(a),this}removeLevel(a){const x=this.levels;for(let y=0;y<x.length;y++)if(x[y].distance===a){const E=x.splice(y,1);return this.remove(E[0].object),!0}return!1}getCurrentLevel(){return this._currentLevel}getObjectForDistance(a){const x=this.levels;if(x.length>0){let y,E;for(y=1,E=x.length;y<E;y++){let z=x[y].distance;if(x[y].object.visible&&(z-=z*x[y].hysteresis),a<z)break}return x[y-1].object}return null}raycast(a,x){if(this.levels.length>0){O1.setFromMatrixPosition(this.matrixWorld);const E=a.ray.origin.distanceTo(O1);this.getObjectForDistance(E).raycast(a,x)}}update(a){const x=this.levels;if(x.length>1){O1.setFromMatrixPosition(a.matrixWorld),WB.setFromMatrixPosition(this.matrixWorld);const y=O1.distanceTo(WB)/a.zoom;x[0].object.visible=!0;let E,z;for(E=1,z=x.length;E<z;E++){let ee=x[E].distance;if(x[E].object.visible&&(ee-=ee*x[E].hysteresis),y>=ee)x[E-1].object.visible=!1,x[E].object.visible=!0;else break}for(this._currentLevel=E-1;E<z;E++)x[E].object.visible=!1}}toJSON(a){const x=super.toJSON(a);this.autoUpdate===!1&&(x.object.autoUpdate=!1),x.object.levels=[];const y=this.levels;for(let E=0,z=y.length;E<z;E++){const ee=y[E];x.object.levels.push({object:ee.object.uuid,distance:ee.distance,hysteresis:ee.hysteresis})}return x}}const QB=new ft,ZB=new la,YB=new la,IR=new ft,JB=new Fs,z1=new ft,f3=new Cd,KB=new Fs,h3=new TA;class NR extends null{constructor(a,x){super(a,x),this.isSkinnedMesh=!0,this.type="SkinnedMesh",this.bindMode=b0,this.bindMatrix=new Fs,this.bindMatrixInverse=new Fs,this.boundingBox=null,this.boundingSphere=null}computeBoundingBox(){const a=this.geometry;this.boundingBox===null&&(this.boundingBox=new wd),this.boundingBox.makeEmpty();const x=a.getAttribute("position");for(let y=0;y<x.count;y++)this.getVertexPosition(y,z1),this.boundingBox.expandByPoint(z1)}computeBoundingSphere(){const a=this.geometry;this.boundingSphere===null&&(this.boundingSphere=new Cd),this.boundingSphere.makeEmpty();const x=a.getAttribute("position");for(let y=0;y<x.count;y++)this.getVertexPosition(y,z1),this.boundingSphere.expandByPoint(z1)}copy(a,x){return super.copy(a,x),this.bindMode=a.bindMode,this.bindMatrix.copy(a.bindMatrix),this.bindMatrixInverse.copy(a.bindMatrixInverse),this.skeleton=a.skeleton,a.boundingBox!==null&&(this.boundingBox=a.boundingBox.clone()),a.boundingSphere!==null&&(this.boundingSphere=a.boundingSphere.clone()),this}raycast(a,x){const y=this.material,E=this.matrixWorld;y!==void 0&&(this.boundingSphere===null&&this.computeBoundingSphere(),f3.copy(this.boundingSphere),f3.applyMatrix4(E),a.ray.intersectsSphere(f3)!==!1&&(KB.copy(E).invert(),h3.copy(a.ray).applyMatrix4(KB),!(this.boundingBox!==null&&h3.intersectsBox(this.boundingBox)===!1)&&this._computeIntersections(a,x,h3)))}getVertexPosition(a,x){return super.getVertexPosition(a,x),this.applyBoneTransform(a,x),x}bind(a,x){this.skeleton=a,x===void 0&&(this.updateMatrixWorld(!0),this.skeleton.calculateInverses(),x=this.matrixWorld),this.bindMatrix.copy(x),this.bindMatrixInverse.copy(x).invert()}pose(){this.skeleton.pose()}normalizeSkinWeights(){const a=new la,x=this.geometry.attributes.skinWeight;for(let y=0,E=x.count;y<E;y++){a.fromBufferAttribute(x,y);const z=1/a.manhattanLength();z!==1/0?a.multiplyScalar(z):a.set(1,0,0,0),x.setXYZW(y,a.x,a.y,a.z,a.w)}}updateMatrixWorld(a){super.updateMatrixWorld(a),this.bindMode===b0?this.bindMatrixInverse.copy(this.matrixWorld).invert():this.bindMode===wo?this.bindMatrixInverse.copy(this.bindMatrix).invert():wn("SkinnedMesh: Unrecognized bindMode: "+this.bindMode)}applyBoneTransform(a,x){const y=this.skeleton,E=this.geometry;ZB.fromBufferAttribute(E.attributes.skinIndex,a),YB.fromBufferAttribute(E.attributes.skinWeight,a),QB.copy(x).applyMatrix4(this.bindMatrix),x.set(0,0,0);for(let z=0;z<4;z++){const ee=YB.getComponent(z);if(ee!==0){const te=ZB.getComponent(z);JB.multiplyMatrices(y.bones[te].matrixWorld,y.boneInverses[te]),x.addScaledVector(IR.copy(QB).applyMatrix4(JB),ee)}}return x.applyMatrix4(this.bindMatrixInverse)}}class qB extends null{constructor(){super(),this.isBone=!0,this.type="Bone"}}class _h extends mc{constructor(a=null,x=1,y=1,E,z,ee,te,ne,ie=Do,ae=Do,oe,le){super(null,ee,te,ne,ie,ae,E,z,oe,le),this.isDataTexture=!0,this.image={data:a,width:x,height:y},this.generateMipmaps=!1,this.flipY=!1,this.unpackAlignment=1}}const _B=new Fs,FR=new Fs;class p3{constructor(a=[],x=[]){this.uuid=Zu(),this.bones=a.slice(0),this.boneInverses=x,this.boneMatrices=null,this.boneTexture=null,this.init()}init(){const a=this.bones,x=this.boneInverses;if(this.boneMatrices=new Float32Array(a.length*16),x.length===0)this.calculateInverses();else if(a.length!==x.length){wn("Skeleton: Number of inverse bone matrices does not match amount of bones."),this.boneInverses=[];for(let y=0,E=this.bones.length;y<E;y++)this.boneInverses.push(new Fs)}}calculateInverses(){this.boneInverses.length=0;for(let a=0,x=this.bones.length;a<x;a++){const y=new Fs;this.bones[a]&&y.copy(this.bones[a].matrixWorld).invert(),this.boneInverses.push(y)}}pose(){for(let a=0,x=this.bones.length;a<x;a++){const y=this.bones[a];y&&y.matrixWorld.copy(this.boneInverses[a]).invert()}for(let a=0,x=this.bones.length;a<x;a++){const y=this.bones[a];y&&(y.parent&&y.parent.isBone?(y.matrix.copy(y.parent.matrixWorld).invert(),y.matrix.multiply(y.matrixWorld)):y.matrix.copy(y.matrixWorld),y.matrix.decompose(y.position,y.quaternion,y.scale))}}update(){const a=this.bones,x=this.boneInverses,y=this.boneMatrices,E=this.boneTexture;for(let z=0,ee=a.length;z<ee;z++){const te=a[z]?a[z].matrixWorld:FR;_B.multiplyMatrices(te,x[z]),_B.toArray(y,z*16)}E!==null&&(E.needsUpdate=!0)}clone(){return new p3(this.bones,this.boneInverses)}computeBoneTexture(){let a=Math.sqrt(this.bones.length*4);a=Math.ceil(a/4)*4,a=Math.max(a,4);const x=new Float32Array(a*a*4);x.set(this.boneMatrices);const y=new _h(x,a,a,El,zl);return y.needsUpdate=!0,this.boneMatrices=x,this.boneTexture=y,this}getBoneByName(a){for(let x=0,y=this.bones.length;x<y;x++){const E=this.bones[x];if(E.name===a)return E}}dispose(){this.boneTexture!==null&&(this.boneTexture.dispose(),this.boneTexture=null)}fromJSON(a,x){this.uuid=a.uuid;for(let y=0,E=a.bones.length;y<E;y++){const z=a.bones[y];let ee=x[z];ee===void 0&&(wn("Skeleton: No bone found with UUID:",z),ee=new qB),this.bones.push(ee),this.boneInverses.push(new Fs().fromArray(a.boneInverses[y]))}return this.init(),this}toJSON(){const a={metadata:{version:4.7,type:"Skeleton",generator:"Skeleton.toJSON"},bones:[],boneInverses:[]};a.uuid=this.uuid;const x=this.bones,y=this.boneInverses;for(let E=0,z=x.length;E<z;E++){const ee=x[E];a.bones.push(ee.uuid);const te=y[E];a.boneInverses.push(te.toArray())}return a}}class Xp extends ql{constructor(a,x,y,E=1){super(a,x,y),this.isInstancedBufferAttribute=!0,this.meshPerAttribute=E}copy(a){return super.copy(a),this.meshPerAttribute=a.meshPerAttribute,this}toJSON(){const a=super.toJSON();return a.meshPerAttribute=this.meshPerAttribute,a.isInstancedBufferAttribute=!0,a}}const GA=new Fs,$B=new Fs,k1=null,e8=new wd,LR=new Fs,sy=new Il,ay=new Cd;class RR extends null{constructor(a,x,y){super(a,x),this.isInstancedMesh=!0,this.instanceMatrix=new Xp(new Float32Array(y*16),16),this.instanceColor=null,this.morphTexture=null,this.count=y,this.boundingBox=null,this.boundingSphere=null;for(let E=0;E<y;E++)this.setMatrixAt(E,LR)}computeBoundingBox(){const a=this.geometry,x=this.count;this.boundingBox===null&&(this.boundingBox=new wd),a.boundingBox===null&&a.computeBoundingBox(),this.boundingBox.makeEmpty();for(let y=0;y<x;y++)this.getMatrixAt(y,GA),e8.copy(a.boundingBox).applyMatrix4(GA),this.boundingBox.union(e8)}computeBoundingSphere(){const a=this.geometry,x=this.count;this.boundingSphere===null&&(this.boundingSphere=new Cd),a.boundingSphere===null&&a.computeBoundingSphere(),this.boundingSphere.makeEmpty();for(let y=0;y<x;y++)this.getMatrixAt(y,GA),ay.copy(a.boundingSphere).applyMatrix4(GA),this.boundingSphere.union(ay)}copy(a,x){return super.copy(a,x),this.instanceMatrix.copy(a.instanceMatrix),a.morphTexture!==null&&(this.morphTexture=a.morphTexture.clone()),a.instanceColor!==null&&(this.instanceColor=a.instanceColor.clone()),this.count=a.count,a.boundingBox!==null&&(this.boundingBox=a.boundingBox.clone()),a.boundingSphere!==null&&(this.boundingSphere=a.boundingSphere.clone()),this}getColorAt(a,x){x.fromArray(this.instanceColor.array,a*3)}getMatrixAt(a,x){x.fromArray(this.instanceMatrix.array,a*16)}getMorphAt(a,x){const y=x.morphTargetInfluences,E=this.morphTexture.source.data.data,z=y.length+1,ee=a*z+1;for(let te=0;te<y.length;te++)y[te]=E[ee+te]}raycast(a,x){const y=this.matrixWorld,E=this.count;if(sy.geometry=this.geometry,sy.material=this.material,sy.material!==void 0&&(this.boundingSphere===null&&this.computeBoundingSphere(),ay.copy(this.boundingSphere),ay.applyMatrix4(y),a.ray.intersectsSphere(ay)!==!1))for(let z=0;z<E;z++){this.getMatrixAt(z,GA),$B.multiplyMatrices(y,GA),sy.matrixWorld=$B,sy.raycast(a,k1);for(let ee=0,te=k1.length;ee<te;ee++){const ne=k1[ee];ne.instanceId=z,ne.object=this,x.push(ne)}k1.length=0}}setColorAt(a,x){this.instanceColor===null&&(this.instanceColor=new Xp(new Float32Array(this.instanceMatrix.count*3).fill(1),3)),x.toArray(this.instanceColor.array,a*3)}setMatrixAt(a,x){x.toArray(this.instanceMatrix.array,a*16)}setMorphAt(a,x){const y=x.morphTargetInfluences,E=y.length+1;this.morphTexture===null&&(this.morphTexture=new _h(new Float32Array(E*this.count),E,this.count,Lf,zl));const z=this.morphTexture.source.data.data;let ee=0;for(let ie=0;ie<y.length;ie++)ee+=y[ie];const te=this.geometry.morphTargetsRelative?1:1-ee,ne=E*a;z[ne]=te,z.set(y,ne+1)}updateMorphTargets(){}dispose(){this.dispatchEvent({type:"dispose"}),this.morphTexture!==null&&(this.morphTexture.dispose(),this.morphTexture=null)}}const m3=new ft,OR=new ft,zR=new ro;class Wp{constructor(a=new ft(1,0,0),x=0){this.isPlane=!0,this.normal=a,this.constant=x}set(a,x){return this.normal.copy(a),this.constant=x,this}setComponents(a,x,y,E){return this.normal.set(a,x,y),this.constant=E,this}setFromNormalAndCoplanarPoint(a,x){return this.normal.copy(a),this.constant=-x.dot(this.normal),this}setFromCoplanarPoints(a,x,y){const E=m3.subVectors(y,x).cross(OR.subVectors(a,x)).normalize();return this.setFromNormalAndCoplanarPoint(E,a),this}copy(a){return this.normal.copy(a.normal),this.constant=a.constant,this}normalize(){const a=1/this.normal.length();return this.normal.multiplyScalar(a),this.constant*=a,this}negate(){return this.constant*=-1,this.normal.negate(),this}distanceToPoint(a){return this.normal.dot(a)+this.constant}distanceToSphere(a){return this.distanceToPoint(a.center)-a.radius}projectPoint(a,x){return x.copy(a).addScaledVector(this.normal,-this.distanceToPoint(a))}intersectLine(a,x){const y=a.delta(m3),E=this.normal.dot(y);if(E===0)return this.distanceToPoint(a.start)===0?x.copy(a.start):null;const z=-(a.start.dot(this.normal)+this.constant)/E;return z<0||z>1?null:x.copy(a.start).addScaledVector(y,z)}intersectsLine(a){const x=this.distanceToPoint(a.start),y=this.distanceToPoint(a.end);return x<0&&y>0||y<0&&x>0}intersectsBox(a){return a.intersectsPlane(this)}intersectsSphere(a){return a.intersectsPlane(this)}coplanarPoint(a){return a.copy(this.normal).multiplyScalar(-this.constant)}applyMatrix4(a,x){const y=x||zR.getNormalMatrix(a),E=this.coplanarPoint(m3).applyMatrix4(a),z=this.normal.applyMatrix3(y).normalize();return this.constant=-E.dot(z),this}translate(a){return this.constant-=a.dot(this.normal),this}equals(a){return a.normal.equals(this.normal)&&a.constant===this.constant}clone(){return new this.constructor().copy(this)}}const Ev=new Cd,kR=new ar(.5,.5),H1=new ft;class XA{constructor(a=new Wp,x=new Wp,y=new Wp,E=new Wp,z=new Wp,ee=new Wp){this.planes=[a,x,y,E,z,ee]}set(a,x,y,E,z,ee){const te=this.planes;return te[0].copy(a),te[1].copy(x),te[2].copy(y),te[3].copy(E),te[4].copy(z),te[5].copy(ee),this}copy(a){const x=this.planes;for(let y=0;y<6;y++)x[y].copy(a.planes[y]);return this}setFromProjectionMatrix(a,x=It,y=!1){const E=this.planes,z=a.elements,ee=z[0],te=z[1],ne=z[2],ie=z[3],ae=z[4],oe=z[5],le=z[6],ue=z[7],he=z[8],xe=z[9],ve=z[10],me=z[11],Pe=z[12],we=z[13],Me=z[14],Le=z[15];if(E[0].setComponents(ie-ee,ue-ae,me-he,Le-Pe).normalize(),E[1].setComponents(ie+ee,ue+ae,me+he,Le+Pe).normalize(),E[2].setComponents(ie+te,ue+oe,me+xe,Le+we).normalize(),E[3].setComponents(ie-te,ue-oe,me-xe,Le-we).normalize(),y)E[4].setComponents(ne,le,ve,Me).normalize(),E[5].setComponents(ie-ne,ue-le,me-ve,Le-Me).normalize();else if(E[4].setComponents(ie-ne,ue-le,me-ve,Le-Me).normalize(),x===It)E[5].setComponents(ie+ne,ue+le,me+ve,Le+Me).normalize();else if(x===bt)E[5].setComponents(ne,le,ve,Me).normalize();else throw new Error("THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: "+x);return this}intersectsObject(a){if(a.boundingSphere!==void 0)a.boundingSphere===null&&a.computeBoundingSphere(),Ev.copy(a.boundingSphere).applyMatrix4(a.matrixWorld);else{const x=a.geometry;x.boundingSphere===null&&x.computeBoundingSphere(),Ev.copy(x.boundingSphere).applyMatrix4(a.matrixWorld)}return this.intersectsSphere(Ev)}intersectsSprite(a){Ev.center.set(0,0,0);const x=kR.distanceTo(a.center);return Ev.radius=.7071067811865476+x,Ev.applyMatrix4(a.matrixWorld),this.intersectsSphere(Ev)}intersectsSphere(a){const x=this.planes,y=a.center,E=-a.radius;for(let z=0;z<6;z++)if(x[z].distanceToPoint(y)<E)return!1;return!0}intersectsBox(a){const x=this.planes;for(let y=0;y<6;y++){const E=x[y];if(H1.x=E.normal.x>0?a.max.x:a.min.x,H1.y=E.normal.y>0?a.max.y:a.min.y,H1.z=E.normal.z>0?a.max.z:a.min.z,E.distanceToPoint(H1)<0)return!1}return!0}containsPoint(a){const x=this.planes;for(let y=0;y<6;y++)if(x[y].distanceToPoint(a)<0)return!1;return!0}clone(){return new this.constructor().copy(this)}}const Im=new Fs,Nm=new XA;class U1{constructor(){this.coordinateSystem=It}intersectsObject(a,x){if(!x.isArrayCamera||x.cameras.length===0)return!1;for(let y=0;y<x.cameras.length;y++){const E=x.cameras[y];if(Im.multiplyMatrices(E.projectionMatrix,E.matrixWorldInverse),Nm.setFromProjectionMatrix(Im,E.coordinateSystem,E.reversedDepth),Nm.intersectsObject(a))return!0}return!1}intersectsSprite(a,x){if(!x||!x.cameras||x.cameras.length===0)return!1;for(let y=0;y<x.cameras.length;y++){const E=x.cameras[y];if(Im.multiplyMatrices(E.projectionMatrix,E.matrixWorldInverse),Nm.setFromProjectionMatrix(Im,E.coordinateSystem,E.reversedDepth),Nm.intersectsSprite(a))return!0}return!1}intersectsSphere(a,x){if(!x||!x.cameras||x.cameras.length===0)return!1;for(let y=0;y<x.cameras.length;y++){const E=x.cameras[y];if(Im.multiplyMatrices(E.projectionMatrix,E.matrixWorldInverse),Nm.setFromProjectionMatrix(Im,E.coordinateSystem,E.reversedDepth),Nm.intersectsSphere(a))return!0}return!1}intersectsBox(a,x){if(!x||!x.cameras||x.cameras.length===0)return!1;for(let y=0;y<x.cameras.length;y++){const E=x.cameras[y];if(Im.multiplyMatrices(E.projectionMatrix,E.matrixWorldInverse),Nm.setFromProjectionMatrix(Im,E.coordinateSystem,E.reversedDepth),Nm.intersectsBox(a))return!0}return!1}containsPoint(a,x){if(!x||!x.cameras||x.cameras.length===0)return!1;for(let y=0;y<x.cameras.length;y++){const E=x.cameras[y];if(Im.multiplyMatrices(E.projectionMatrix,E.matrixWorldInverse),Nm.setFromProjectionMatrix(Im,E.coordinateSystem,E.reversedDepth),Nm.containsPoint(a))return!0}return!1}clone(){return new U1}}function g3(b,a){return b-a}function HR(b,a){return b.z-a.z}function UR(b,a){return a.z-b.z}class jR{constructor(){this.index=0,this.pool=[],this.list=[]}push(a,x,y,E){const z=this.pool,ee=this.list;this.index>=z.length&&z.push({start:-1,count:-1,z:-1,index:-1});const te=z[this.index];ee.push(te),this.index++,te.start=a,te.count=x,te.z=y,te.index=E}reset(){this.list.length=0,this.index=0}}const Hf=new Fs,VR=new Ki(1,1,1),t8=new XA,GR=new U1,j1=new wd,wv=new Cd,oy=new ft,n8=new ft,XR=new ft,v3=new jR,Yd=new Il,V1=null;function WR(b,a,x=0){const y=a.itemSize;if(b.isInterleavedBufferAttribute||b.array.constructor!==a.array.constructor){const E=b.count;for(let z=0;z<E;z++)for(let ee=0;ee<y;ee++)a.setComponent(z+x,ee,b.getComponent(z,ee))}else a.array.set(b.array,x*y);a.needsUpdate=!0}function Cv(b,a){if(b.constructor!==a.constructor){const x=Math.min(b.length,a.length);for(let y=0;y<x;y++)a[y]=b[y]}else{const x=Math.min(b.length,a.length);a.set(new b.constructor(b.buffer,0,x))}}class QR extends null{constructor(a,x,y=x*2,E){super(new io,E),this.isBatchedMesh=!0,this.perObjectFrustumCulled=!0,this.sortObjects=!0,this.boundingBox=null,this.boundingSphere=null,this.customSort=null,this._instanceInfo=[],this._geometryInfo=[],this._availableInstanceIds=[],this._availableGeometryIds=[],this._nextIndexStart=0,this._nextVertexStart=0,this._geometryCount=0,this._visibilityChanged=!0,this._geometryInitialized=!1,this._maxInstanceCount=a,this._maxVertexCount=x,this._maxIndexCount=y,this._multiDrawCounts=new Int32Array(a),this._multiDrawStarts=new Int32Array(a),this._multiDrawCount=0,this._multiDrawInstances=null,this._matricesTexture=null,this._indirectTexture=null,this._colorsTexture=null,this._initMatricesTexture(),this._initIndirectTexture()}get maxInstanceCount(){return this._maxInstanceCount}get instanceCount(){return this._instanceInfo.length-this._availableInstanceIds.length}get unusedVertexCount(){return this._maxVertexCount-this._nextVertexStart}get unusedIndexCount(){return this._maxIndexCount-this._nextIndexStart}_initMatricesTexture(){let a=Math.sqrt(this._maxInstanceCount*4);a=Math.ceil(a/4)*4,a=Math.max(a,4);const x=new Float32Array(a*a*4),y=new _h(x,a,a,El,zl);this._matricesTexture=y}_initIndirectTexture(){let a=Math.sqrt(this._maxInstanceCount);a=Math.ceil(a);const x=new Uint32Array(a*a),y=new _h(x,a,a,gf,fl);this._indirectTexture=y}_initColorsTexture(){let a=Math.sqrt(this._maxInstanceCount);a=Math.ceil(a);const x=new Float32Array(a*a*4).fill(1),y=new _h(x,a,a,El,zl);y.colorSpace=ba.workingColorSpace,this._colorsTexture=y}_initializeGeometry(a){const x=this.geometry,y=this._maxVertexCount,E=this._maxIndexCount;if(this._geometryInitialized===!1){for(const z in a.attributes){const ee=a.getAttribute(z),{array:te,itemSize:ne,normalized:ie}=ee,ae=new te.constructor(y*ne),oe=new ql(ae,ne,ie);x.setAttribute(z,oe)}if(a.getIndex()!==null){const z=y>65535?new Uint32Array(E):new Uint16Array(E);x.setIndex(new ql(z,1))}this._geometryInitialized=!0}}_validateGeometry(a){const x=this.geometry;if(!!a.getIndex()!=!!x.getIndex())throw new Error('THREE.BatchedMesh: All geometries must consistently have "index".');for(const y in x.attributes){if(!a.hasAttribute(y))throw new Error(`THREE.BatchedMesh: Added geometry missing "${y}". All geometries must have consistent attributes.`);const E=a.getAttribute(y),z=x.getAttribute(y);if(E.itemSize!==z.itemSize||E.normalized!==z.normalized)throw new Error("THREE.BatchedMesh: All attributes must have a consistent itemSize and normalized value.")}}validateInstanceId(a){const x=this._instanceInfo;if(a<0||a>=x.length||x[a].active===!1)throw new Error(`THREE.BatchedMesh: Invalid instanceId ${a}. Instance is either out of range or has been deleted.`)}validateGeometryId(a){const x=this._geometryInfo;if(a<0||a>=x.length||x[a].active===!1)throw new Error(`THREE.BatchedMesh: Invalid geometryId ${a}. Geometry is either out of range or has been deleted.`)}setCustomSort(a){return this.customSort=a,this}computeBoundingBox(){this.boundingBox===null&&(this.boundingBox=new wd);const a=this.boundingBox,x=this._instanceInfo;a.makeEmpty();for(let y=0,E=x.length;y<E;y++){if(x[y].active===!1)continue;const z=x[y].geometryIndex;this.getMatrixAt(y,Hf),this.getBoundingBoxAt(z,j1).applyMatrix4(Hf),a.union(j1)}}computeBoundingSphere(){this.boundingSphere===null&&(this.boundingSphere=new Cd);const a=this.boundingSphere,x=this._instanceInfo;a.makeEmpty();for(let y=0,E=x.length;y<E;y++){if(x[y].active===!1)continue;const z=x[y].geometryIndex;this.getMatrixAt(y,Hf),this.getBoundingSphereAt(z,wv).applyMatrix4(Hf),a.union(wv)}}addInstance(a){if(this._instanceInfo.length>=this.maxInstanceCount&&this._availableInstanceIds.length===0)throw new Error("THREE.BatchedMesh: Maximum item count reached.");const y={visible:!0,active:!0,geometryIndex:a};let E=null;this._availableInstanceIds.length>0?(this._availableInstanceIds.sort(g3),E=this._availableInstanceIds.shift(),this._instanceInfo[E]=y):(E=this._instanceInfo.length,this._instanceInfo.push(y));const z=this._matricesTexture;Hf.identity().toArray(z.image.data,E*16),z.needsUpdate=!0;const ee=this._colorsTexture;return ee&&(VR.toArray(ee.image.data,E*4),ee.needsUpdate=!0),this._visibilityChanged=!0,E}addGeometry(a,x=-1,y=-1){this._initializeGeometry(a),this._validateGeometry(a);const E={vertexStart:-1,vertexCount:-1,reservedVertexCount:-1,indexStart:-1,indexCount:-1,reservedIndexCount:-1,start:-1,count:-1,boundingBox:null,boundingSphere:null,active:!0},z=this._geometryInfo;E.vertexStart=this._nextVertexStart,E.reservedVertexCount=x===-1?a.getAttribute("position").count:x;const ee=a.getIndex();if(ee!==null&&(E.indexStart=this._nextIndexStart,E.reservedIndexCount=y===-1?ee.count:y),E.indexStart!==-1&&E.indexStart+E.reservedIndexCount>this._maxIndexCount||E.vertexStart+E.reservedVertexCount>this._maxVertexCount)throw new Error("THREE.BatchedMesh: Reserved space request exceeds the maximum buffer size.");let ne;return this._availableGeometryIds.length>0?(this._availableGeometryIds.sort(g3),ne=this._availableGeometryIds.shift(),z[ne]=E):(ne=this._geometryCount,this._geometryCount++,z.push(E)),this.setGeometryAt(ne,a),this._nextIndexStart=E.indexStart+E.reservedIndexCount,this._nextVertexStart=E.vertexStart+E.reservedVertexCount,ne}setGeometryAt(a,x){if(a>=this._geometryCount)throw new Error("THREE.BatchedMesh: Maximum geometry count reached.");this._validateGeometry(x);const y=this.geometry,E=y.getIndex()!==null,z=y.getIndex(),ee=x.getIndex(),te=this._geometryInfo[a];if(E&&ee.count>te.reservedIndexCount||x.attributes.position.count>te.reservedVertexCount)throw new Error("THREE.BatchedMesh: Reserved space not large enough for provided geometry.");const ne=te.vertexStart,ie=te.reservedVertexCount;te.vertexCount=x.getAttribute("position").count;for(const ae in y.attributes){const oe=x.getAttribute(ae),le=y.getAttribute(ae);WR(oe,le,ne);const ue=oe.itemSize;for(let he=oe.count,xe=ie;he<xe;he++){const ve=ne+he;for(let me=0;me<ue;me++)le.setComponent(ve,me,0)}le.needsUpdate=!0,le.addUpdateRange(ne*ue,ie*ue)}if(E){const ae=te.indexStart,oe=te.reservedIndexCount;te.indexCount=x.getIndex().count;for(let le=0;le<ee.count;le++)z.setX(ae+le,ne+ee.getX(le));for(let le=ee.count,ue=oe;le<ue;le++)z.setX(ae+le,ne);z.needsUpdate=!0,z.addUpdateRange(ae,te.reservedIndexCount)}return te.start=E?te.indexStart:te.vertexStart,te.count=E?te.indexCount:te.vertexCount,te.boundingBox=null,x.boundingBox!==null&&(te.boundingBox=x.boundingBox.clone()),te.boundingSphere=null,x.boundingSphere!==null&&(te.boundingSphere=x.boundingSphere.clone()),this._visibilityChanged=!0,a}deleteGeometry(a){const x=this._geometryInfo;if(a>=x.length||x[a].active===!1)return this;const y=this._instanceInfo;for(let E=0,z=y.length;E<z;E++)y[E].active&&y[E].geometryIndex===a&&this.deleteInstance(E);return x[a].active=!1,this._availableGeometryIds.push(a),this._visibilityChanged=!0,this}deleteInstance(a){return this.validateInstanceId(a),this._instanceInfo[a].active=!1,this._availableInstanceIds.push(a),this._visibilityChanged=!0,this}optimize(){let a=0,x=0;const y=this._geometryInfo,E=y.map((ee,te)=>te).sort((ee,te)=>y[ee].vertexStart-y[te].vertexStart),z=this.geometry;for(let ee=0,te=y.length;ee<te;ee++){const ne=E[ee],ie=y[ne];if(ie.active!==!1){if(z.index!==null){if(ie.indexStart!==x){const{indexStart:ae,vertexStart:oe,reservedIndexCount:le}=ie,ue=z.index,he=ue.array,xe=a-oe;for(let ve=ae;ve<ae+le;ve++)he[ve]=he[ve]+xe;ue.array.copyWithin(x,ae,ae+le),ue.addUpdateRange(x,le),ie.indexStart=x}x+=ie.reservedIndexCount}if(ie.vertexStart!==a){const{vertexStart:ae,reservedVertexCount:oe}=ie,le=z.attributes;for(const ue in le){const he=le[ue],{array:xe,itemSize:ve}=he;xe.copyWithin(a*ve,ae*ve,(ae+oe)*ve),he.addUpdateRange(a*ve,oe*ve)}ie.vertexStart=a}a+=ie.reservedVertexCount,ie.start=z.index?ie.indexStart:ie.vertexStart,this._nextIndexStart=z.index?ie.indexStart+ie.reservedIndexCount:0,this._nextVertexStart=ie.vertexStart+ie.reservedVertexCount}}return this}getBoundingBoxAt(a,x){if(a>=this._geometryCount)return null;const y=this.geometry,E=this._geometryInfo[a];if(E.boundingBox===null){const z=new wd,ee=y.index,te=y.attributes.position;for(let ne=E.start,ie=E.start+E.count;ne<ie;ne++){let ae=ne;ee&&(ae=ee.getX(ae)),z.expandByPoint(oy.fromBufferAttribute(te,ae))}E.boundingBox=z}return x.copy(E.boundingBox),x}getBoundingSphereAt(a,x){if(a>=this._geometryCount)return null;const y=this.geometry,E=this._geometryInfo[a];if(E.boundingSphere===null){const z=new Cd;this.getBoundingBoxAt(a,j1),j1.getCenter(z.center);const ee=y.index,te=y.attributes.position;let ne=0;for(let ie=E.start,ae=E.start+E.count;ie<ae;ie++){let oe=ie;ee&&(oe=ee.getX(oe)),oy.fromBufferAttribute(te,oe),ne=Math.max(ne,z.center.distanceToSquared(oy))}z.radius=Math.sqrt(ne),E.boundingSphere=z}return x.copy(E.boundingSphere),x}setMatrixAt(a,x){this.validateInstanceId(a);const y=this._matricesTexture,E=this._matricesTexture.image.data;return x.toArray(E,a*16),y.needsUpdate=!0,this}getMatrixAt(a,x){return this.validateInstanceId(a),x.fromArray(this._matricesTexture.image.data,a*16)}setColorAt(a,x){return this.validateInstanceId(a),this._colorsTexture===null&&this._initColorsTexture(),x.toArray(this._colorsTexture.image.data,a*4),this._colorsTexture.needsUpdate=!0,this}getColorAt(a,x){return this.validateInstanceId(a),x.fromArray(this._colorsTexture.image.data,a*4)}setVisibleAt(a,x){return this.validateInstanceId(a),this._instanceInfo[a].visible===x?this:(this._instanceInfo[a].visible=x,this._visibilityChanged=!0,this)}getVisibleAt(a){return this.validateInstanceId(a),this._instanceInfo[a].visible}setGeometryIdAt(a,x){return this.validateInstanceId(a),this.validateGeometryId(x),this._instanceInfo[a].geometryIndex=x,this}getGeometryIdAt(a){return this.validateInstanceId(a),this._instanceInfo[a].geometryIndex}getGeometryRangeAt(a,x={}){this.validateGeometryId(a);const y=this._geometryInfo[a];return x.vertexStart=y.vertexStart,x.vertexCount=y.vertexCount,x.reservedVertexCount=y.reservedVertexCount,x.indexStart=y.indexStart,x.indexCount=y.indexCount,x.reservedIndexCount=y.reservedIndexCount,x.start=y.start,x.count=y.count,x}setInstanceCount(a){const x=this._availableInstanceIds,y=this._instanceInfo;for(x.sort(g3);x[x.length-1]===y.length-1;)y.pop(),x.pop();if(a<y.length)throw new Error(`BatchedMesh: Instance ids outside the range ${a} are being used. Cannot shrink instance count.`);const E=new Int32Array(a),z=new Int32Array(a);Cv(this._multiDrawCounts,E),Cv(this._multiDrawStarts,z),this._multiDrawCounts=E,this._multiDrawStarts=z,this._maxInstanceCount=a;const ee=this._indirectTexture,te=this._matricesTexture,ne=this._colorsTexture;ee.dispose(),this._initIndirectTexture(),Cv(ee.image.data,this._indirectTexture.image.data),te.dispose(),this._initMatricesTexture(),Cv(te.image.data,this._matricesTexture.image.data),ne&&(ne.dispose(),this._initColorsTexture(),Cv(ne.image.data,this._colorsTexture.image.data))}setGeometrySize(a,x){const y=[...this._geometryInfo].filter(te=>te.active);if(Math.max(...y.map(te=>te.vertexStart+te.reservedVertexCount))>a)throw new Error(`BatchedMesh: Geometry vertex values are being used outside the range ${x}. Cannot shrink further.`);if(this.geometry.index&&Math.max(...y.map(ne=>ne.indexStart+ne.reservedIndexCount))>x)throw new Error(`BatchedMesh: Geometry index values are being used outside the range ${x}. Cannot shrink further.`);const z=this.geometry;z.dispose(),this._maxVertexCount=a,this._maxIndexCount=x,this._geometryInitialized&&(this._geometryInitialized=!1,this.geometry=new io,this._initializeGeometry(z));const ee=this.geometry;z.index&&Cv(z.index.array,ee.index.array);for(const te in z.attributes)Cv(z.attributes[te].array,ee.attributes[te].array)}raycast(a,x){const y=this._instanceInfo,E=this._geometryInfo,z=this.matrixWorld,ee=this.geometry;Yd.material=this.material,Yd.geometry.index=ee.index,Yd.geometry.attributes=ee.attributes,Yd.geometry.boundingBox===null&&(Yd.geometry.boundingBox=new wd),Yd.geometry.boundingSphere===null&&(Yd.geometry.boundingSphere=new Cd);for(let te=0,ne=y.length;te<ne;te++){if(!y[te].visible||!y[te].active)continue;const ie=y[te].geometryIndex,ae=E[ie];Yd.geometry.setDrawRange(ae.start,ae.count),this.getMatrixAt(te,Yd.matrixWorld).premultiply(z),this.getBoundingBoxAt(ie,Yd.geometry.boundingBox),this.getBoundingSphereAt(ie,Yd.geometry.boundingSphere),Yd.raycast(a,V1);for(let oe=0,le=V1.length;oe<le;oe++){const ue=V1[oe];ue.object=this,ue.batchId=te,x.push(ue)}V1.length=0}Yd.material=null,Yd.geometry.index=null,Yd.geometry.attributes={},Yd.geometry.setDrawRange(0,1/0)}copy(a){return super.copy(a),this.geometry=a.geometry.clone(),this.perObjectFrustumCulled=a.perObjectFrustumCulled,this.sortObjects=a.sortObjects,this.boundingBox=a.boundingBox!==null?a.boundingBox.clone():null,this.boundingSphere=a.boundingSphere!==null?a.boundingSphere.clone():null,this._geometryInfo=a._geometryInfo.map(x=>gp($u({},x),{boundingBox:x.boundingBox!==null?x.boundingBox.clone():null,boundingSphere:x.boundingSphere!==null?x.boundingSphere.clone():null})),this._instanceInfo=a._instanceInfo.map(x=>$u({},x)),this._availableInstanceIds=a._availableInstanceIds.slice(),this._availableGeometryIds=a._availableGeometryIds.slice(),this._nextIndexStart=a._nextIndexStart,this._nextVertexStart=a._nextVertexStart,this._geometryCount=a._geometryCount,this._maxInstanceCount=a._maxInstanceCount,this._maxVertexCount=a._maxVertexCount,this._maxIndexCount=a._maxIndexCount,this._geometryInitialized=a._geometryInitialized,this._multiDrawCounts=a._multiDrawCounts.slice(),this._multiDrawStarts=a._multiDrawStarts.slice(),this._indirectTexture=a._indirectTexture.clone(),this._indirectTexture.image.data=this._indirectTexture.image.data.slice(),this._matricesTexture=a._matricesTexture.clone(),this._matricesTexture.image.data=this._matricesTexture.image.data.slice(),this._colorsTexture!==null&&(this._colorsTexture=a._colorsTexture.clone(),this._colorsTexture.image.data=this._colorsTexture.image.data.slice()),this}dispose(){this.geometry.dispose(),this._matricesTexture.dispose(),this._matricesTexture=null,this._indirectTexture.dispose(),this._indirectTexture=null,this._colorsTexture!==null&&(this._colorsTexture.dispose(),this._colorsTexture=null)}onBeforeRender(a,x,y,E,z){if(!this._visibilityChanged&&!this.perObjectFrustumCulled&&!this.sortObjects)return;const ee=E.getIndex(),te=ee===null?1:ee.array.BYTES_PER_ELEMENT,ne=this._instanceInfo,ie=this._multiDrawStarts,ae=this._multiDrawCounts,oe=this._geometryInfo,le=this.perObjectFrustumCulled,ue=this._indirectTexture,he=ue.image.data,xe=y.isArrayCamera?GR:t8;le&&!y.isArrayCamera&&(Hf.multiplyMatrices(y.projectionMatrix,y.matrixWorldInverse).multiply(this.matrixWorld),t8.setFromProjectionMatrix(Hf,y.coordinateSystem,y.reversedDepth));let ve=0;if(this.sortObjects){Hf.copy(this.matrixWorld).invert(),oy.setFromMatrixPosition(y.matrixWorld).applyMatrix4(Hf),n8.set(0,0,-1).transformDirection(y.matrixWorld).transformDirection(Hf);for(let we=0,Me=ne.length;we<Me;we++)if(ne[we].visible&&ne[we].active){const Le=ne[we].geometryIndex;this.getMatrixAt(we,Hf),this.getBoundingSphereAt(Le,wv).applyMatrix4(Hf);let De=!1;if(le&&(De=!xe.intersectsSphere(wv,y)),!De){const ke=oe[Le],ze=XR.subVectors(wv.center,oy).dot(n8);v3.push(ke.start,ke.count,ze,we)}}const me=v3.list,Pe=this.customSort;Pe===null?me.sort(z.transparent?UR:HR):Pe.call(this,me,y);for(let we=0,Me=me.length;we<Me;we++){const Le=me[we];ie[ve]=Le.start*te,ae[ve]=Le.count,he[ve]=Le.index,ve++}v3.reset()}else for(let me=0,Pe=ne.length;me<Pe;me++)if(ne[me].visible&&ne[me].active){const we=ne[me].geometryIndex;let Me=!1;if(le&&(this.getMatrixAt(me,Hf),this.getBoundingSphereAt(we,wv).applyMatrix4(Hf),Me=!xe.intersectsSphere(wv,y)),!Me){const Le=oe[we];ie[ve]=Le.start*te,ae[ve]=Le.count,he[ve]=me,ve++}}ue.needsUpdate=!0,this._multiDrawCount=ve,this._visibilityChanged=!1}onBeforeShadow(a,x,y,E,z,ee){this.onBeforeRender(a,null,E,z,ee)}}class Jd extends Pd{constructor(a){super(),this.isLineBasicMaterial=!0,this.type="LineBasicMaterial",this.color=new Ki(16777215),this.map=null,this.linewidth=1,this.linecap="round",this.linejoin="round",this.fog=!0,this.setValues(a)}copy(a){return super.copy(a),this.color.copy(a.color),this.map=a.map,this.linewidth=a.linewidth,this.linecap=a.linecap,this.linejoin=a.linejoin,this.fog=a.fog,this}}const G1=new ft,X1=new ft,r8=new Fs,ly=new TA,W1=new Cd,A3=new ft,i8=new ft;class uy extends zu{constructor(a=new io,x=new Jd){super(),this.isLine=!0,this.type="Line",this.geometry=a,this.material=x,this.morphTargetDictionary=void 0,this.morphTargetInfluences=void 0,this.updateMorphTargets()}copy(a,x){return super.copy(a,x),this.material=Array.isArray(a.material)?a.material.slice():a.material,this.geometry=a.geometry,this}computeLineDistances(){const a=this.geometry;if(a.index===null){const x=a.attributes.position,y=[0];for(let E=1,z=x.count;E<z;E++)G1.fromBufferAttribute(x,E-1),X1.fromBufferAttribute(x,E),y[E]=y[E-1],y[E]+=G1.distanceTo(X1);a.setAttribute("lineDistance",new Ls(y,1))}else wn("Line.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.");return this}raycast(a,x){const y=this.geometry,E=this.matrixWorld,z=a.params.Line.threshold,ee=y.drawRange;if(y.boundingSphere===null&&y.computeBoundingSphere(),W1.copy(y.boundingSphere),W1.applyMatrix4(E),W1.radius+=z,a.ray.intersectsSphere(W1)===!1)return;r8.copy(E).invert(),ly.copy(a.ray).applyMatrix4(r8);const te=z/((this.scale.x+this.scale.y+this.scale.z)/3),ne=te*te,ie=this.isLineSegments?2:1,ae=y.index,le=y.attributes.position;if(ae!==null){const ue=Math.max(0,ee.start),he=Math.min(ae.count,ee.start+ee.count);for(let xe=ue,ve=he-1;xe<ve;xe+=ie){const me=ae.getX(xe),Pe=ae.getX(xe+1),we=Q1(this,a,ly,ne,me,Pe,xe);we&&x.push(we)}if(this.isLineLoop){const xe=ae.getX(he-1),ve=ae.getX(ue),me=Q1(this,a,ly,ne,xe,ve,he-1);me&&x.push(me)}}else{const ue=Math.max(0,ee.start),he=Math.min(le.count,ee.start+ee.count);for(let xe=ue,ve=he-1;xe<ve;xe+=ie){const me=Q1(this,a,ly,ne,xe,xe+1,xe);me&&x.push(me)}if(this.isLineLoop){const xe=Q1(this,a,ly,ne,he-1,ue,he-1);xe&&x.push(xe)}}}updateMorphTargets(){const x=this.geometry.morphAttributes,y=Object.keys(x);if(y.length>0){const E=x[y[0]];if(E!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let z=0,ee=E.length;z<ee;z++){const te=E[z].name||String(z);this.morphTargetInfluences.push(0),this.morphTargetDictionary[te]=z}}}}}function Q1(b,a,x,y,E,z,ee){const te=b.geometry.attributes.position;if(G1.fromBufferAttribute(te,E),X1.fromBufferAttribute(te,z),x.distanceSqToSegment(G1,X1,A3,i8)>y)return;A3.applyMatrix4(b.matrixWorld);const ie=a.ray.origin.distanceTo(A3);if(!(ie<a.near||ie>a.far))return{distance:ie,point:i8.clone().applyMatrix4(b.matrixWorld),index:ee,face:null,faceIndex:null,barycoord:null,object:b}}const s8=new ft,a8=new ft;class o8 extends null{constructor(a,x){super(a,x),this.isLineSegments=!0,this.type="LineSegments"}computeLineDistances(){const a=this.geometry;if(a.index===null){const x=a.attributes.position,y=[];for(let E=0,z=x.count;E<z;E+=2)s8.fromBufferAttribute(x,E),a8.fromBufferAttribute(x,E+1),y[E]=E===0?0:y[E-1],y[E+1]=y[E]+s8.distanceTo(a8);a.setAttribute("lineDistance",new Ls(y,1))}else wn("LineSegments.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.");return this}}class ZR extends null{constructor(a,x){super(a,x),this.isLineLoop=!0,this.type="LineLoop"}}class x3 extends Pd{constructor(a){super(),this.isPointsMaterial=!0,this.type="PointsMaterial",this.color=new Ki(16777215),this.map=null,this.alphaMap=null,this.size=1,this.sizeAttenuation=!0,this.fog=!0,this.setValues(a)}copy(a){return super.copy(a),this.color.copy(a.color),this.map=a.map,this.alphaMap=a.alphaMap,this.size=a.size,this.sizeAttenuation=a.sizeAttenuation,this.fog=a.fog,this}}const l8=new Fs,y3=new TA,Z1=new Cd,Y1=new ft;class YR extends null{constructor(a=new io,x=new x3){super(),this.isPoints=!0,this.type="Points",this.geometry=a,this.material=x,this.morphTargetDictionary=void 0,this.morphTargetInfluences=void 0,this.updateMorphTargets()}copy(a,x){return super.copy(a,x),this.material=Array.isArray(a.material)?a.material.slice():a.material,this.geometry=a.geometry,this}raycast(a,x){const y=this.geometry,E=this.matrixWorld,z=a.params.Points.threshold,ee=y.drawRange;if(y.boundingSphere===null&&y.computeBoundingSphere(),Z1.copy(y.boundingSphere),Z1.applyMatrix4(E),Z1.radius+=z,a.ray.intersectsSphere(Z1)===!1)return;l8.copy(E).invert(),y3.copy(a.ray).applyMatrix4(l8);const te=z/((this.scale.x+this.scale.y+this.scale.z)/3),ne=te*te,ie=y.index,oe=y.attributes.position;if(ie!==null){const le=Math.max(0,ee.start),ue=Math.min(ie.count,ee.start+ee.count);for(let he=le,xe=ue;he<xe;he++){const ve=ie.getX(he);Y1.fromBufferAttribute(oe,ve),u8(Y1,ve,ne,E,a,x,this)}}else{const le=Math.max(0,ee.start),ue=Math.min(oe.count,ee.start+ee.count);for(let he=le,xe=ue;he<xe;he++)Y1.fromBufferAttribute(oe,he),u8(Y1,he,ne,E,a,x,this)}}updateMorphTargets(){const x=this.geometry.morphAttributes,y=Object.keys(x);if(y.length>0){const E=x[y[0]];if(E!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let z=0,ee=E.length;z<ee;z++){const te=E[z].name||String(z);this.morphTargetInfluences.push(0),this.morphTargetDictionary[te]=z}}}}}function u8(b,a,x,y,E,z,ee){const te=y3.distanceSqToPoint(b);if(te<x){const ne=new ft;y3.closestPointToPoint(b,ne),ne.applyMatrix4(y);const ie=E.ray.origin.distanceTo(ne);if(ie<E.near||ie>E.far)return;z.push({distance:ie,distanceToRay:Math.sqrt(te),point:ne,index:a,face:null,faceIndex:null,barycoord:null,object:ee})}}class Fce extends null{constructor(a,x,y,E,z=Co,ee=Co,te,ne,ie){super(a,x,y,E,z,ee,te,ne,ie),this.isVideoTexture=!0,this.generateMipmaps=!1,this._requestVideoFrameCallbackId=0;const ae=this;function oe(){ae.needsUpdate=!0,ae._requestVideoFrameCallbackId=a.requestVideoFrameCallback(oe)}"requestVideoFrameCallback"in a&&(this._requestVideoFrameCallbackId=a.requestVideoFrameCallback(oe))}clone(){return new this.constructor(this.image).copy(this)}update(){const a=this.image;"requestVideoFrameCallback"in a===!1&&a.readyState>=a.HAVE_CURRENT_DATA&&(this.needsUpdate=!0)}dispose(){this._requestVideoFrameCallbackId!==0&&(this.source.data.cancelVideoFrameCallback(this._requestVideoFrameCallbackId),this._requestVideoFrameCallbackId=0),super.dispose()}}class Lce extends null{constructor(a,x,y,E,z,ee,te,ne){super({},a,x,y,E,z,ee,te,ne),this.isVideoFrameTexture=!0}update(){}clone(){return new this.constructor().copy(this)}setFrame(a){this.image=a,this.needsUpdate=!0}}class b3 extends mc{constructor(a,x){super({width:a,height:x}),this.isFramebufferTexture=!0,this.magFilter=Do,this.minFilter=Do,this.generateMipmaps=!1,this.needsUpdate=!0}}class JR extends null{constructor(a,x,y,E,z,ee,te,ne,ie,ae,oe,le){super(null,ee,te,ne,ie,ae,E,z,oe,le),this.isCompressedTexture=!0,this.image={width:x,height:y},this.mipmaps=a,this.flipY=!1,this.generateMipmaps=!1}}class Rce extends null{constructor(a,x,y,E,z,ee){super(a,x,y,z,ee),this.isCompressedArrayTexture=!0,this.image.depth=E,this.wrapR=Xu,this.layerUpdates=new Set}addLayerUpdate(a){this.layerUpdates.add(a)}clearLayerUpdates(){this.layerUpdates.clear()}}class Oce extends null{constructor(a,x,y){super(void 0,a[0].width,a[0].height,x,y,xa),this.isCompressedCubeTexture=!0,this.isCubeTexture=!0,this.image=a}}class zce extends null{constructor(a,x,y,E,z,ee,te,ne,ie){super(a,x,y,E,z,ee,te,ne,ie),this.isCanvasTexture=!0,this.needsUpdate=!0}}class yh extends mc{constructor(a,x,y=fl,E,z,ee,te=Do,ne=Do,ie,ae=Ed,oe=1){if(ae!==Ed&&ae!==jc)throw new Error("DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat");const le={width:a,height:x,depth:oe};super(le,E,z,ee,te,ne,ae,y,ie),this.isDepthTexture=!0,this.flipY=!1,this.generateMipmaps=!1,this.compareFunction=null}copy(a){return super.copy(a),this.source=new mv(Object.assign({},a.image)),this.compareFunction=a.compareFunction,this}toJSON(a){const x=super.toJSON(a);return this.compareFunction!==null&&(x.compareFunction=this.compareFunction),x}}class c8 extends mc{constructor(a=null){super(),this.sourceTexture=a,this.isExternalTexture=!0}copy(a){return super.copy(a),this.sourceTexture=a.sourceTexture,this}}class E3 extends io{constructor(a=1,x=1,y=4,E=8,z=1){super(),this.type="CapsuleGeometry",this.parameters={radius:a,height:x,capSegments:y,radialSegments:E,heightSegments:z},x=Math.max(0,x),y=Math.max(1,Math.floor(y)),E=Math.max(3,Math.floor(E)),z=Math.max(1,Math.floor(z));const ee=[],te=[],ne=[],ie=[],ae=x/2,oe=Math.PI/2*a,le=x,ue=2*oe+le,he=y*2+z,xe=E+1,ve=new ft,me=new ft;for(let Pe=0;Pe<=he;Pe++){let we=0,Me=0,Le=0,De=0;if(Pe<=y){const He=Pe/y,Re=He*Math.PI/2;Me=-ae-a*Math.cos(Re),Le=a*Math.sin(Re),De=-a*Math.cos(Re),we=He*oe}else if(Pe<=y+z){const He=(Pe-y)/z;Me=-ae+He*x,Le=a,De=0,we=oe+He*le}else{const He=(Pe-y-z)/y,Re=He*Math.PI/2;Me=ae+a*Math.sin(Re),Le=a*Math.cos(Re),De=a*Math.sin(Re),we=oe+le+He*oe}const ke=Math.max(0,Math.min(1,we/ue));let ze=0;Pe===0?ze=.5/E:Pe===he&&(ze=-.5/E);for(let He=0;He<=E;He++){const Re=He/E,Fe=Re*Math.PI*2,$e=Math.sin(Fe),pt=Math.cos(Fe);me.x=-Le*pt,me.y=Me,me.z=Le*$e,te.push(me.x,me.y,me.z),ve.set(-Le*pt,De,Le*$e),ve.normalize(),ne.push(ve.x,ve.y,ve.z),ie.push(Re+ze,ke)}if(Pe>0){const He=(Pe-1)*xe;for(let Re=0;Re<E;Re++){const Fe=He+Re,$e=He+Re+1,pt=Pe*xe+Re,st=Pe*xe+Re+1;ee.push(Fe,$e,pt),ee.push($e,st,pt)}}}this.setIndex(ee),this.setAttribute("position",new Ls(te,3)),this.setAttribute("normal",new Ls(ne,3)),this.setAttribute("uv",new Ls(ie,2))}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}static fromJSON(a){return new E3(a.radius,a.height,a.capSegments,a.radialSegments,a.heightSegments)}}class w3 extends io{constructor(a=1,x=32,y=0,E=Math.PI*2){super(),this.type="CircleGeometry",this.parameters={radius:a,segments:x,thetaStart:y,thetaLength:E},x=Math.max(3,x);const z=[],ee=[],te=[],ne=[],ie=new ft,ae=new ar;ee.push(0,0,0),te.push(0,0,1),ne.push(.5,.5);for(let oe=0,le=3;oe<=x;oe++,le+=3){const ue=y+oe/x*E;ie.x=a*Math.cos(ue),ie.y=a*Math.sin(ue),ee.push(ie.x,ie.y,ie.z),te.push(0,0,1),ae.x=(ee[le]/a+1)/2,ae.y=(ee[le+1]/a+1)/2,ne.push(ae.x,ae.y)}for(let oe=1;oe<=x;oe++)z.push(oe,oe+1,0);this.setIndex(z),this.setAttribute("position",new Ls(ee,3)),this.setAttribute("normal",new Ls(te,3)),this.setAttribute("uv",new Ls(ne,2))}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}static fromJSON(a){return new w3(a.radius,a.segments,a.thetaStart,a.thetaLength)}}class WA extends io{constructor(a=1,x=1,y=1,E=32,z=1,ee=!1,te=0,ne=Math.PI*2){super(),this.type="CylinderGeometry",this.parameters={radiusTop:a,radiusBottom:x,height:y,radialSegments:E,heightSegments:z,openEnded:ee,thetaStart:te,thetaLength:ne};const ie=this;E=Math.floor(E),z=Math.floor(z);const ae=[],oe=[],le=[],ue=[];let he=0;const xe=[],ve=y/2;let me=0;Pe(),ee===!1&&(a>0&&we(!0),x>0&&we(!1)),this.setIndex(ae),this.setAttribute("position",new Ls(oe,3)),this.setAttribute("normal",new Ls(le,3)),this.setAttribute("uv",new Ls(ue,2));function Pe(){const Me=new ft,Le=new ft;let De=0;const ke=(x-a)/y;for(let ze=0;ze<=z;ze++){const He=[],Re=ze/z,Fe=Re*(x-a)+a;for(let $e=0;$e<=E;$e++){const pt=$e/E,st=pt*ne+te,Ft=Math.sin(st),an=Math.cos(st);Le.x=Fe*Ft,Le.y=-Re*y+ve,Le.z=Fe*an,oe.push(Le.x,Le.y,Le.z),Me.set(Ft,ke,an).normalize(),le.push(Me.x,Me.y,Me.z),ue.push(pt,1-Re),He.push(he++)}xe.push(He)}for(let ze=0;ze<E;ze++)for(let He=0;He<z;He++){const Re=xe[He][ze],Fe=xe[He+1][ze],$e=xe[He+1][ze+1],pt=xe[He][ze+1];(a>0||He!==0)&&(ae.push(Re,Fe,pt),De+=3),(x>0||He!==z-1)&&(ae.push(Fe,$e,pt),De+=3)}ie.addGroup(me,De,0),me+=De}function we(Me){const Le=he,De=new ar,ke=new ft;let ze=0;const He=Me===!0?a:x,Re=Me===!0?1:-1;for(let $e=1;$e<=E;$e++)oe.push(0,ve*Re,0),le.push(0,Re,0),ue.push(.5,.5),he++;const Fe=he;for(let $e=0;$e<=E;$e++){const st=$e/E*ne+te,Ft=Math.cos(st),an=Math.sin(st);ke.x=He*an,ke.y=ve*Re,ke.z=He*Ft,oe.push(ke.x,ke.y,ke.z),le.push(0,Re,0),De.x=Ft*.5+.5,De.y=an*.5*Re+.5,ue.push(De.x,De.y),he++}for(let $e=0;$e<E;$e++){const pt=Le+$e,st=Fe+$e;Me===!0?ae.push(st,st+1,pt):ae.push(st+1,st,pt),ze+=3}ie.addGroup(me,ze,Me===!0?1:2),me+=ze}}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}static fromJSON(a){return new WA(a.radiusTop,a.radiusBottom,a.height,a.radialSegments,a.heightSegments,a.openEnded,a.thetaStart,a.thetaLength)}}class cy extends WA{constructor(a=1,x=1,y=32,E=1,z=!1,ee=0,te=Math.PI*2){super(0,a,x,y,E,z,ee,te),this.type="ConeGeometry",this.parameters={radius:a,height:x,radialSegments:y,heightSegments:E,openEnded:z,thetaStart:ee,thetaLength:te}}static fromJSON(a){return new cy(a.radius,a.height,a.radialSegments,a.heightSegments,a.openEnded,a.thetaStart,a.thetaLength)}}class Pv extends io{constructor(a=[],x=[],y=1,E=0){super(),this.type="PolyhedronGeometry",this.parameters={vertices:a,indices:x,radius:y,detail:E};const z=[],ee=[];te(E),ie(y),ae(),this.setAttribute("position",new Ls(z,3)),this.setAttribute("normal",new Ls(z.slice(),3)),this.setAttribute("uv",new Ls(ee,2)),E===0?this.computeVertexNormals():this.normalizeNormals();function te(Pe){const we=new ft,Me=new ft,Le=new ft;for(let De=0;De<x.length;De+=3)ue(x[De+0],we),ue(x[De+1],Me),ue(x[De+2],Le),ne(we,Me,Le,Pe)}function ne(Pe,we,Me,Le){const De=Le+1,ke=[];for(let ze=0;ze<=De;ze++){ke[ze]=[];const He=Pe.clone().lerp(Me,ze/De),Re=we.clone().lerp(Me,ze/De),Fe=De-ze;for(let $e=0;$e<=Fe;$e++)$e===0&&ze===De?ke[ze][$e]=He:ke[ze][$e]=He.clone().lerp(Re,$e/Fe)}for(let ze=0;ze<De;ze++)for(let He=0;He<2*(De-ze)-1;He++){const Re=Math.floor(He/2);He%2===0?(le(ke[ze][Re+1]),le(ke[ze+1][Re]),le(ke[ze][Re])):(le(ke[ze][Re+1]),le(ke[ze+1][Re+1]),le(ke[ze+1][Re]))}}function ie(Pe){const we=new ft;for(let Me=0;Me<z.length;Me+=3)we.x=z[Me+0],we.y=z[Me+1],we.z=z[Me+2],we.normalize().multiplyScalar(Pe),z[Me+0]=we.x,z[Me+1]=we.y,z[Me+2]=we.z}function ae(){const Pe=new ft;for(let we=0;we<z.length;we+=3){Pe.x=z[we+0],Pe.y=z[we+1],Pe.z=z[we+2];const Me=ve(Pe)/2/Math.PI+.5,Le=me(Pe)/Math.PI+.5;ee.push(Me,1-Le)}he(),oe()}function oe(){for(let Pe=0;Pe<ee.length;Pe+=6){const we=ee[Pe+0],Me=ee[Pe+2],Le=ee[Pe+4],De=Math.max(we,Me,Le),ke=Math.min(we,Me,Le);De>.9&&ke<.1&&(we<.2&&(ee[Pe+0]+=1),Me<.2&&(ee[Pe+2]+=1),Le<.2&&(ee[Pe+4]+=1))}}function le(Pe){z.push(Pe.x,Pe.y,Pe.z)}function ue(Pe,we){const Me=Pe*3;we.x=a[Me+0],we.y=a[Me+1],we.z=a[Me+2]}function he(){const Pe=new ft,we=new ft,Me=new ft,Le=new ft,De=new ar,ke=new ar,ze=new ar;for(let He=0,Re=0;He<z.length;He+=9,Re+=6){Pe.set(z[He+0],z[He+1],z[He+2]),we.set(z[He+3],z[He+4],z[He+5]),Me.set(z[He+6],z[He+7],z[He+8]),De.set(ee[Re+0],ee[Re+1]),ke.set(ee[Re+2],ee[Re+3]),ze.set(ee[Re+4],ee[Re+5]),Le.copy(Pe).add(we).add(Me).divideScalar(3);const Fe=ve(Le);xe(De,Re+0,Pe,Fe),xe(ke,Re+2,we,Fe),xe(ze,Re+4,Me,Fe)}}function xe(Pe,we,Me,Le){Le<0&&Pe.x===1&&(ee[we]=Pe.x-1),Me.x===0&&Me.z===0&&(ee[we]=Le/2/Math.PI+.5)}function ve(Pe){return Math.atan2(Pe.z,-Pe.x)}function me(Pe){return Math.atan2(-Pe.y,Math.sqrt(Pe.x*Pe.x+Pe.z*Pe.z))}}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}static fromJSON(a){return new Pv(a.vertices,a.indices,a.radius,a.details)}}class C3 extends Pv{constructor(a=1,x=0){const y=(1+Math.sqrt(5))/2,E=1/y,z=[-1,-1,-1,-1,-1,1,-1,1,-1,-1,1,1,1,-1,-1,1,-1,1,1,1,-1,1,1,1,0,-E,-y,0,-E,y,0,E,-y,0,E,y,-E,-y,0,-E,y,0,E,-y,0,E,y,0,-y,0,-E,y,0,-E,-y,0,E,y,0,E],ee=[3,11,7,3,7,15,3,15,13,7,19,17,7,17,6,7,6,15,17,4,8,17,8,10,17,10,6,8,0,16,8,16,2,8,2,10,0,12,1,0,1,18,0,18,16,6,10,2,6,2,13,6,13,15,2,16,18,2,18,3,2,3,13,18,1,9,18,9,11,18,11,3,4,14,12,4,12,0,4,0,8,11,9,5,11,5,19,11,19,7,19,5,14,19,14,4,19,4,17,1,12,14,1,14,5,1,5,9];super(z,ee,a,x),this.type="DodecahedronGeometry",this.parameters={radius:a,detail:x}}static fromJSON(a){return new C3(a.radius,a.detail)}}const J1=new ft,K1=new ft,P3=new ft,q1=new Ah;class KR extends io{constructor(a=null,x=1){if(super(),this.type="EdgesGeometry",this.parameters={geometry:a,thresholdAngle:x},a!==null){const E=Math.pow(10,4),z=Math.cos(ad*x),ee=a.getIndex(),te=a.getAttribute("position"),ne=ee?ee.count:te.count,ie=[0,0,0],ae=["a","b","c"],oe=new Array(3),le={},ue=[];for(let he=0;he<ne;he+=3){ee?(ie[0]=ee.getX(he),ie[1]=ee.getX(he+1),ie[2]=ee.getX(he+2)):(ie[0]=he,ie[1]=he+1,ie[2]=he+2);const{a:xe,b:ve,c:me}=q1;if(xe.fromBufferAttribute(te,ie[0]),ve.fromBufferAttribute(te,ie[1]),me.fromBufferAttribute(te,ie[2]),q1.getNormal(P3),oe[0]=`${Math.round(xe.x*E)},${Math.round(xe.y*E)},${Math.round(xe.z*E)}`,oe[1]=`${Math.round(ve.x*E)},${Math.round(ve.y*E)},${Math.round(ve.z*E)}`,oe[2]=`${Math.round(me.x*E)},${Math.round(me.y*E)},${Math.round(me.z*E)}`,!(oe[0]===oe[1]||oe[1]===oe[2]||oe[2]===oe[0]))for(let Pe=0;Pe<3;Pe++){const we=(Pe+1)%3,Me=oe[Pe],Le=oe[we],De=q1[ae[Pe]],ke=q1[ae[we]],ze=`${Me}_${Le}`,He=`${Le}_${Me}`;He in le&&le[He]?(P3.dot(le[He].normal)<=z&&(ue.push(De.x,De.y,De.z),ue.push(ke.x,ke.y,ke.z)),le[He]=null):ze in le||(le[ze]={index0:ie[Pe],index1:ie[we],normal:P3.clone()})}}for(const he in le)if(le[he]){const{index0:xe,index1:ve}=le[he];J1.fromBufferAttribute(te,xe),K1.fromBufferAttribute(te,ve),ue.push(J1.x,J1.y,J1.z),ue.push(K1.x,K1.y,K1.z)}this.setAttribute("position",new Ls(ue,3))}}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}}class Fm{constructor(){this.type="Curve",this.arcLengthDivisions=200,this.needsUpdate=!1,this.cacheArcLengths=null}getPoint(){wn("Curve: .getPoint() not implemented.")}getPointAt(a,x){const y=this.getUtoTmapping(a);return this.getPoint(y,x)}getPoints(a=5){const x=[];for(let y=0;y<=a;y++)x.push(this.getPoint(y/a));return x}getSpacedPoints(a=5){const x=[];for(let y=0;y<=a;y++)x.push(this.getPointAt(y/a));return x}getLength(){const a=this.getLengths();return a[a.length-1]}getLengths(a=this.arcLengthDivisions){if(this.cacheArcLengths&&this.cacheArcLengths.length===a+1&&!this.needsUpdate)return this.cacheArcLengths;this.needsUpdate=!1;const x=[];let y,E=this.getPoint(0),z=0;x.push(0);for(let ee=1;ee<=a;ee++)y=this.getPoint(ee/a),z+=y.distanceTo(E),x.push(z),E=y;return this.cacheArcLengths=x,x}updateArcLengths(){this.needsUpdate=!0,this.getLengths()}getUtoTmapping(a,x=null){const y=this.getLengths();let E=0;const z=y.length;let ee;x?ee=x:ee=a*y[z-1];let te=0,ne=z-1,ie;for(;te<=ne;)if(E=Math.floor(te+(ne-te)/2),ie=y[E]-ee,ie<0)te=E+1;else if(ie>0)ne=E-1;else{ne=E;break}if(E=ne,y[E]===ee)return E/(z-1);const ae=y[E],le=y[E+1]-ae,ue=(ee-ae)/le;return(E+ue)/(z-1)}getTangent(a,x){let E=a-1e-4,z=a+1e-4;E<0&&(E=0),z>1&&(z=1);const ee=this.getPoint(E),te=this.getPoint(z),ne=x||(ee.isVector2?new ar:new ft);return ne.copy(te).sub(ee).normalize(),ne}getTangentAt(a,x){const y=this.getUtoTmapping(a);return this.getTangent(y,x)}computeFrenetFrames(a,x=!1){const y=new ft,E=[],z=[],ee=[],te=new ft,ne=new Fs;for(let ue=0;ue<=a;ue++){const he=ue/a;E[ue]=this.getTangentAt(he,new ft)}z[0]=new ft,ee[0]=new ft;let ie=Number.MAX_VALUE;const ae=Math.abs(E[0].x),oe=Math.abs(E[0].y),le=Math.abs(E[0].z);ae<=ie&&(ie=ae,y.set(1,0,0)),oe<=ie&&(ie=oe,y.set(0,1,0)),le<=ie&&y.set(0,0,1),te.crossVectors(E[0],y).normalize(),z[0].crossVectors(E[0],te),ee[0].crossVectors(E[0],z[0]);for(let ue=1;ue<=a;ue++){if(z[ue]=z[ue-1].clone(),ee[ue]=ee[ue-1].clone(),te.crossVectors(E[ue-1],E[ue]),te.length()>Number.EPSILON){te.normalize();const he=Math.acos(ta(E[ue-1].dot(E[ue]),-1,1));z[ue].applyMatrix4(ne.makeRotationAxis(te,he))}ee[ue].crossVectors(E[ue],z[ue])}if(x===!0){let ue=Math.acos(ta(z[0].dot(z[a]),-1,1));ue/=a,E[0].dot(te.crossVectors(z[0],z[a]))>0&&(ue=-ue);for(let he=1;he<=a;he++)z[he].applyMatrix4(ne.makeRotationAxis(E[he],ue*he)),ee[he].crossVectors(E[he],z[he])}return{tangents:E,normals:z,binormals:ee}}clone(){return new this.constructor().copy(this)}copy(a){return this.arcLengthDivisions=a.arcLengthDivisions,this}toJSON(){const a={metadata:{version:4.7,type:"Curve",generator:"Curve.toJSON"}};return a.arcLengthDivisions=this.arcLengthDivisions,a.type=this.type,a}fromJSON(a){return this.arcLengthDivisions=a.arcLengthDivisions,this}}class S3 extends Fm{constructor(a=0,x=0,y=1,E=1,z=0,ee=Math.PI*2,te=!1,ne=0){super(),this.isEllipseCurve=!0,this.type="EllipseCurve",this.aX=a,this.aY=x,this.xRadius=y,this.yRadius=E,this.aStartAngle=z,this.aEndAngle=ee,this.aClockwise=te,this.aRotation=ne}getPoint(a,x=new ar){const y=x,E=Math.PI*2;let z=this.aEndAngle-this.aStartAngle;const ee=Math.abs(z)<Number.EPSILON;for(;z<0;)z+=E;for(;z>E;)z-=E;z<Number.EPSILON&&(ee?z=0:z=E),this.aClockwise===!0&&!ee&&(z===E?z=-E:z=z-E);const te=this.aStartAngle+a*z;let ne=this.aX+this.xRadius*Math.cos(te),ie=this.aY+this.yRadius*Math.sin(te);if(this.aRotation!==0){const ae=Math.cos(this.aRotation),oe=Math.sin(this.aRotation),le=ne-this.aX,ue=ie-this.aY;ne=le*ae-ue*oe+this.aX,ie=le*oe+ue*ae+this.aY}return y.set(ne,ie)}copy(a){return super.copy(a),this.aX=a.aX,this.aY=a.aY,this.xRadius=a.xRadius,this.yRadius=a.yRadius,this.aStartAngle=a.aStartAngle,this.aEndAngle=a.aEndAngle,this.aClockwise=a.aClockwise,this.aRotation=a.aRotation,this}toJSON(){const a=super.toJSON();return a.aX=this.aX,a.aY=this.aY,a.xRadius=this.xRadius,a.yRadius=this.yRadius,a.aStartAngle=this.aStartAngle,a.aEndAngle=this.aEndAngle,a.aClockwise=this.aClockwise,a.aRotation=this.aRotation,a}fromJSON(a){return super.fromJSON(a),this.aX=a.aX,this.aY=a.aY,this.xRadius=a.xRadius,this.yRadius=a.yRadius,this.aStartAngle=a.aStartAngle,this.aEndAngle=a.aEndAngle,this.aClockwise=a.aClockwise,this.aRotation=a.aRotation,this}}class qR extends S3{constructor(a,x,y,E,z,ee){super(a,x,y,y,E,z,ee),this.isArcCurve=!0,this.type="ArcCurve"}}function B3(){let b=0,a=0,x=0,y=0;function E(z,ee,te,ne){b=z,a=te,x=-3*z+3*ee-2*te-ne,y=2*z-2*ee+te+ne}return{initCatmullRom:function(z,ee,te,ne,ie){E(ee,te,ie*(te-z),ie*(ne-ee))},initNonuniformCatmullRom:function(z,ee,te,ne,ie,ae,oe){let le=(ee-z)/ie-(te-z)/(ie+ae)+(te-ee)/ae,ue=(te-ee)/ae-(ne-ee)/(ae+oe)+(ne-te)/oe;le*=ae,ue*=ae,E(ee,te,le,ue)},calc:function(z){const ee=z*z,te=ee*z;return b+a*z+x*ee+y*te}}}const _1=new ft,M3=new B3,T3=new B3,D3=new B3;class _R extends Fm{constructor(a=[],x=!1,y="centripetal",E=.5){super(),this.isCatmullRomCurve3=!0,this.type="CatmullRomCurve3",this.points=a,this.closed=x,this.curveType=y,this.tension=E}getPoint(a,x=new ft){const y=x,E=this.points,z=E.length,ee=(z-(this.closed?0:1))*a;let te=Math.floor(ee),ne=ee-te;this.closed?te+=te>0?0:(Math.floor(Math.abs(te)/z)+1)*z:ne===0&&te===z-1&&(te=z-2,ne=1);let ie,ae;this.closed||te>0?ie=E[(te-1)%z]:(_1.subVectors(E[0],E[1]).add(E[0]),ie=_1);const oe=E[te%z],le=E[(te+1)%z];if(this.closed||te+2<z?ae=E[(te+2)%z]:(_1.subVectors(E[z-1],E[z-2]).add(E[z-1]),ae=_1),this.curveType==="centripetal"||this.curveType==="chordal"){const ue=this.curveType==="chordal"?.5:.25;let he=Math.pow(ie.distanceToSquared(oe),ue),xe=Math.pow(oe.distanceToSquared(le),ue),ve=Math.pow(le.distanceToSquared(ae),ue);xe<1e-4&&(xe=1),he<1e-4&&(he=xe),ve<1e-4&&(ve=xe),M3.initNonuniformCatmullRom(ie.x,oe.x,le.x,ae.x,he,xe,ve),T3.initNonuniformCatmullRom(ie.y,oe.y,le.y,ae.y,he,xe,ve),D3.initNonuniformCatmullRom(ie.z,oe.z,le.z,ae.z,he,xe,ve)}else this.curveType==="catmullrom"&&(M3.initCatmullRom(ie.x,oe.x,le.x,ae.x,this.tension),T3.initCatmullRom(ie.y,oe.y,le.y,ae.y,this.tension),D3.initCatmullRom(ie.z,oe.z,le.z,ae.z,this.tension));return y.set(M3.calc(ne),T3.calc(ne),D3.calc(ne)),y}copy(a){super.copy(a),this.points=[];for(let x=0,y=a.points.length;x<y;x++){const E=a.points[x];this.points.push(E.clone())}return this.closed=a.closed,this.curveType=a.curveType,this.tension=a.tension,this}toJSON(){const a=super.toJSON();a.points=[];for(let x=0,y=this.points.length;x<y;x++){const E=this.points[x];a.points.push(E.toArray())}return a.closed=this.closed,a.curveType=this.curveType,a.tension=this.tension,a}fromJSON(a){super.fromJSON(a),this.points=[];for(let x=0,y=a.points.length;x<y;x++){const E=a.points[x];this.points.push(new ft().fromArray(E))}return this.closed=a.closed,this.curveType=a.curveType,this.tension=a.tension,this}}function d8(b,a,x,y,E){const z=(y-a)*.5,ee=(E-x)*.5,te=b*b,ne=b*te;return(2*x-2*y+z+ee)*ne+(-3*x+3*y-2*z-ee)*te+z*b+x}function $R(b,a){const x=1-b;return x*x*a}function eO(b,a){return 2*(1-b)*b*a}function tO(b,a){return b*b*a}function dy(b,a,x,y){return $R(b,a)+eO(b,x)+tO(b,y)}function nO(b,a){const x=1-b;return x*x*x*a}function rO(b,a){const x=1-b;return 3*x*x*b*a}function iO(b,a){return 3*(1-b)*b*b*a}function sO(b,a){return b*b*b*a}function fy(b,a,x,y,E){return nO(b,a)+rO(b,x)+iO(b,y)+sO(b,E)}class f8 extends Fm{constructor(a=new ar,x=new ar,y=new ar,E=new ar){super(),this.isCubicBezierCurve=!0,this.type="CubicBezierCurve",this.v0=a,this.v1=x,this.v2=y,this.v3=E}getPoint(a,x=new ar){const y=x,E=this.v0,z=this.v1,ee=this.v2,te=this.v3;return y.set(fy(a,E.x,z.x,ee.x,te.x),fy(a,E.y,z.y,ee.y,te.y)),y}copy(a){return super.copy(a),this.v0.copy(a.v0),this.v1.copy(a.v1),this.v2.copy(a.v2),this.v3.copy(a.v3),this}toJSON(){const a=super.toJSON();return a.v0=this.v0.toArray(),a.v1=this.v1.toArray(),a.v2=this.v2.toArray(),a.v3=this.v3.toArray(),a}fromJSON(a){return super.fromJSON(a),this.v0.fromArray(a.v0),this.v1.fromArray(a.v1),this.v2.fromArray(a.v2),this.v3.fromArray(a.v3),this}}class h8 extends Fm{constructor(a=new ft,x=new ft,y=new ft,E=new ft){super(),this.isCubicBezierCurve3=!0,this.type="CubicBezierCurve3",this.v0=a,this.v1=x,this.v2=y,this.v3=E}getPoint(a,x=new ft){const y=x,E=this.v0,z=this.v1,ee=this.v2,te=this.v3;return y.set(fy(a,E.x,z.x,ee.x,te.x),fy(a,E.y,z.y,ee.y,te.y),fy(a,E.z,z.z,ee.z,te.z)),y}copy(a){return super.copy(a),this.v0.copy(a.v0),this.v1.copy(a.v1),this.v2.copy(a.v2),this.v3.copy(a.v3),this}toJSON(){const a=super.toJSON();return a.v0=this.v0.toArray(),a.v1=this.v1.toArray(),a.v2=this.v2.toArray(),a.v3=this.v3.toArray(),a}fromJSON(a){return super.fromJSON(a),this.v0.fromArray(a.v0),this.v1.fromArray(a.v1),this.v2.fromArray(a.v2),this.v3.fromArray(a.v3),this}}class p8 extends Fm{constructor(a=new ar,x=new ar){super(),this.isLineCurve=!0,this.type="LineCurve",this.v1=a,this.v2=x}getPoint(a,x=new ar){const y=x;return a===1?y.copy(this.v2):(y.copy(this.v2).sub(this.v1),y.multiplyScalar(a).add(this.v1)),y}getPointAt(a,x){return this.getPoint(a,x)}getTangent(a,x=new ar){return x.subVectors(this.v2,this.v1).normalize()}getTangentAt(a,x){return this.getTangent(a,x)}copy(a){return super.copy(a),this.v1.copy(a.v1),this.v2.copy(a.v2),this}toJSON(){const a=super.toJSON();return a.v1=this.v1.toArray(),a.v2=this.v2.toArray(),a}fromJSON(a){return super.fromJSON(a),this.v1.fromArray(a.v1),this.v2.fromArray(a.v2),this}}class aO extends Fm{constructor(a=new ft,x=new ft){super(),this.isLineCurve3=!0,this.type="LineCurve3",this.v1=a,this.v2=x}getPoint(a,x=new ft){const y=x;return a===1?y.copy(this.v2):(y.copy(this.v2).sub(this.v1),y.multiplyScalar(a).add(this.v1)),y}getPointAt(a,x){return this.getPoint(a,x)}getTangent(a,x=new ft){return x.subVectors(this.v2,this.v1).normalize()}getTangentAt(a,x){return this.getTangent(a,x)}copy(a){return super.copy(a),this.v1.copy(a.v1),this.v2.copy(a.v2),this}toJSON(){const a=super.toJSON();return a.v1=this.v1.toArray(),a.v2=this.v2.toArray(),a}fromJSON(a){return super.fromJSON(a),this.v1.fromArray(a.v1),this.v2.fromArray(a.v2),this}}class m8 extends Fm{constructor(a=new ar,x=new ar,y=new ar){super(),this.isQuadraticBezierCurve=!0,this.type="QuadraticBezierCurve",this.v0=a,this.v1=x,this.v2=y}getPoint(a,x=new ar){const y=x,E=this.v0,z=this.v1,ee=this.v2;return y.set(dy(a,E.x,z.x,ee.x),dy(a,E.y,z.y,ee.y)),y}copy(a){return super.copy(a),this.v0.copy(a.v0),this.v1.copy(a.v1),this.v2.copy(a.v2),this}toJSON(){const a=super.toJSON();return a.v0=this.v0.toArray(),a.v1=this.v1.toArray(),a.v2=this.v2.toArray(),a}fromJSON(a){return super.fromJSON(a),this.v0.fromArray(a.v0),this.v1.fromArray(a.v1),this.v2.fromArray(a.v2),this}}class I3 extends Fm{constructor(a=new ft,x=new ft,y=new ft){super(),this.isQuadraticBezierCurve3=!0,this.type="QuadraticBezierCurve3",this.v0=a,this.v1=x,this.v2=y}getPoint(a,x=new ft){const y=x,E=this.v0,z=this.v1,ee=this.v2;return y.set(dy(a,E.x,z.x,ee.x),dy(a,E.y,z.y,ee.y),dy(a,E.z,z.z,ee.z)),y}copy(a){return super.copy(a),this.v0.copy(a.v0),this.v1.copy(a.v1),this.v2.copy(a.v2),this}toJSON(){const a=super.toJSON();return a.v0=this.v0.toArray(),a.v1=this.v1.toArray(),a.v2=this.v2.toArray(),a}fromJSON(a){return super.fromJSON(a),this.v0.fromArray(a.v0),this.v1.fromArray(a.v1),this.v2.fromArray(a.v2),this}}class g8 extends Fm{constructor(a=[]){super(),this.isSplineCurve=!0,this.type="SplineCurve",this.points=a}getPoint(a,x=new ar){const y=x,E=this.points,z=(E.length-1)*a,ee=Math.floor(z),te=z-ee,ne=E[ee===0?ee:ee-1],ie=E[ee],ae=E[ee>E.length-2?E.length-1:ee+1],oe=E[ee>E.length-3?E.length-1:ee+2];return y.set(d8(te,ne.x,ie.x,ae.x,oe.x),d8(te,ne.y,ie.y,ae.y,oe.y)),y}copy(a){super.copy(a),this.points=[];for(let x=0,y=a.points.length;x<y;x++){const E=a.points[x];this.points.push(E.clone())}return this}toJSON(){const a=super.toJSON();a.points=[];for(let x=0,y=this.points.length;x<y;x++){const E=this.points[x];a.points.push(E.toArray())}return a}fromJSON(a){super.fromJSON(a),this.points=[];for(let x=0,y=a.points.length;x<y;x++){const E=a.points[x];this.points.push(new ar().fromArray(E))}return this}}var $1=Object.freeze({__proto__:null,ArcCurve:qR,CatmullRomCurve3:_R,CubicBezierCurve:f8,CubicBezierCurve3:h8,EllipseCurve:S3,LineCurve:p8,LineCurve3:aO,QuadraticBezierCurve:m8,QuadraticBezierCurve3:I3,SplineCurve:g8});class oO extends Fm{constructor(){super(),this.type="CurvePath",this.curves=[],this.autoClose=!1}add(a){this.curves.push(a)}closePath(){const a=this.curves[0].getPoint(0),x=this.curves[this.curves.length-1].getPoint(1);if(!a.equals(x)){const y=a.isVector2===!0?"LineCurve":"LineCurve3";this.curves.push(new $1[y](x,a))}return this}getPoint(a,x){const y=a*this.getLength(),E=this.getCurveLengths();let z=0;for(;z<E.length;){if(E[z]>=y){const ee=E[z]-y,te=this.curves[z],ne=te.getLength(),ie=ne===0?0:1-ee/ne;return te.getPointAt(ie,x)}z++}return null}getLength(){const a=this.getCurveLengths();return a[a.length-1]}updateArcLengths(){this.needsUpdate=!0,this.cacheLengths=null,this.getCurveLengths()}getCurveLengths(){if(this.cacheLengths&&this.cacheLengths.length===this.curves.length)return this.cacheLengths;const a=[];let x=0;for(let y=0,E=this.curves.length;y<E;y++)x+=this.curves[y].getLength(),a.push(x);return this.cacheLengths=a,a}getSpacedPoints(a=40){const x=[];for(let y=0;y<=a;y++)x.push(this.getPoint(y/a));return this.autoClose&&x.push(x[0]),x}getPoints(a=12){const x=[];let y;for(let E=0,z=this.curves;E<z.length;E++){const ee=z[E],te=ee.isEllipseCurve?a*2:ee.isLineCurve||ee.isLineCurve3?1:ee.isSplineCurve?a*ee.points.length:a,ne=ee.getPoints(te);for(let ie=0;ie<ne.length;ie++){const ae=ne[ie];y&&y.equals(ae)||(x.push(ae),y=ae)}}return this.autoClose&&x.length>1&&!x[x.length-1].equals(x[0])&&x.push(x[0]),x}copy(a){super.copy(a),this.curves=[];for(let x=0,y=a.curves.length;x<y;x++){const E=a.curves[x];this.curves.push(E.clone())}return this.autoClose=a.autoClose,this}toJSON(){const a=super.toJSON();a.autoClose=this.autoClose,a.curves=[];for(let x=0,y=this.curves.length;x<y;x++){const E=this.curves[x];a.curves.push(E.toJSON())}return a}fromJSON(a){super.fromJSON(a),this.autoClose=a.autoClose,this.curves=[];for(let x=0,y=a.curves.length;x<y;x++){const E=a.curves[x];this.curves.push(new $1[E.type]().fromJSON(E))}return this}}class N3 extends oO{constructor(a){super(),this.type="Path",this.currentPoint=new ar,a&&this.setFromPoints(a)}setFromPoints(a){this.moveTo(a[0].x,a[0].y);for(let x=1,y=a.length;x<y;x++)this.lineTo(a[x].x,a[x].y);return this}moveTo(a,x){return this.currentPoint.set(a,x),this}lineTo(a,x){const y=new p8(this.currentPoint.clone(),new ar(a,x));return this.curves.push(y),this.currentPoint.set(a,x),this}quadraticCurveTo(a,x,y,E){const z=new m8(this.currentPoint.clone(),new ar(a,x),new ar(y,E));return this.curves.push(z),this.currentPoint.set(y,E),this}bezierCurveTo(a,x,y,E,z,ee){const te=new f8(this.currentPoint.clone(),new ar(a,x),new ar(y,E),new ar(z,ee));return this.curves.push(te),this.currentPoint.set(z,ee),this}splineThru(a){const x=[this.currentPoint.clone()].concat(a),y=new g8(x);return this.curves.push(y),this.currentPoint.copy(a[a.length-1]),this}arc(a,x,y,E,z,ee){const te=this.currentPoint.x,ne=this.currentPoint.y;return this.absarc(a+te,x+ne,y,E,z,ee),this}absarc(a,x,y,E,z,ee){return this.absellipse(a,x,y,y,E,z,ee),this}ellipse(a,x,y,E,z,ee,te,ne){const ie=this.currentPoint.x,ae=this.currentPoint.y;return this.absellipse(a+ie,x+ae,y,E,z,ee,te,ne),this}absellipse(a,x,y,E,z,ee,te,ne){const ie=new S3(a,x,y,E,z,ee,te,ne);if(this.curves.length>0){const oe=ie.getPoint(0);oe.equals(this.currentPoint)||this.lineTo(oe.x,oe.y)}this.curves.push(ie);const ae=ie.getPoint(1);return this.currentPoint.copy(ae),this}copy(a){return super.copy(a),this.currentPoint.copy(a.currentPoint),this}toJSON(){const a=super.toJSON();return 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b=(b-x)*E|0,a=(a-y)*E|0,b=(b|b<<8)&16711935,b=(b|b<<4)&252645135,b=(b|b<<2)&858993459,b=(b|b<<1)&1431655765,a=(a|a<<8)&16711935,a=(a|a<<4)&252645135,a=(a|a<<2)&858993459,a=(a|a<<1)&1431655765,b|a<<1}function yO(b){let a=b,x=b;do(a.x<x.x||a.x===x.x&&a.y<x.y)&&(x=a),a=a.next;while(a!==b);return x}function A8(b,a,x,y,E,z,ee,te){return(E-ee)*(a-te)>=(b-ee)*(z-te)&&(b-ee)*(y-te)>=(x-ee)*(a-te)&&(x-ee)*(z-te)>=(E-ee)*(y-te)}function py(b,a,x,y,E,z,ee,te){return!(b===ee&&a===te)&&A8(b,a,x,y,E,z,ee,te)}function bO(b,a){return b.next.i!==a.i&&b.prev.i!==a.i&&!EO(b,a)&&(my(b,a)&&my(a,b)&&wO(b,a)&&(ku(b.prev,b,a.prev)||ku(b,a.prev,a))||ZA(b,a)&&ku(b.prev,b,b.next)>0&&ku(a.prev,a,a.next)>0)}function ku(b,a,x){return(a.y-b.y)*(x.x-a.x)-(a.x-b.x)*(x.y-a.y)}function ZA(b,a){return b.x===a.x&&b.y===a.y}function x8(b,a,x,y){const E=tE(ku(b,a,x)),z=tE(ku(b,a,y)),ee=tE(ku(x,y,b)),te=tE(ku(x,y,a));return!!(E!==z&&ee!==te||E===0&&eE(b,x,a)||z===0&&eE(b,y,a)||ee===0&&eE(x,b,y)||te===0&&eE(x,a,y))}function eE(b,a,x){return a.x<=Math.max(b.x,x.x)&&a.x>=Math.min(b.x,x.x)&&a.y<=Math.max(b.y,x.y)&&a.y>=Math.min(b.y,x.y)}function tE(b){return b>0?1:b<0?-1:0}function EO(b,a){let x=b;do{if(x.i!==b.i&&x.next.i!==b.i&&x.i!==a.i&&x.next.i!==a.i&&x8(x,x.next,b,a))return!0;x=x.next}while(x!==b);return!1}function my(b,a){return ku(b.prev,b,b.next)<0?ku(b,a,b.next)>=0&&ku(b,b.prev,a)>=0:ku(b,a,b.prev)<0||ku(b,b.next,a)<0}function wO(b,a){let x=b,y=!1;const E=(b.x+a.x)/2,z=(b.y+a.y)/2;do x.y>z!=x.next.y>z&&x.next.y!==x.y&&E<(x.next.x-x.x)*(z-x.y)/(x.next.y-x.y)+x.x&&(y=!y),x=x.next;while(x!==b);return y}function y8(b,a){const x=L3(b.i,b.x,b.y),y=L3(a.i,a.x,a.y),E=b.next,z=a.prev;return b.next=a,a.prev=b,x.next=E,E.prev=x,y.next=x,x.prev=y,z.next=y,y.prev=z,y}function b8(b,a,x,y){const E=L3(b,a,x);return y?(E.next=y.next,E.prev=y,y.next.prev=E,y.next=E):(E.prev=E,E.next=E),E}function gy(b){b.next.prev=b.prev,b.prev.next=b.next,b.prevZ&&(b.prevZ.nextZ=b.nextZ),b.nextZ&&(b.nextZ.prevZ=b.prevZ)}function L3(b,a,x){return{i:b,x:a,y:x,prev:null,next:null,z:0,prevZ:null,nextZ:null,steiner:!1}}function CO(b,a,x,y){let E=0;for(let z=a,ee=x-y;z<x;z+=y)E+=(b[ee]-b[z])*(b[z+1]+b[ee+1]),ee=z;return E}class PO{static triangulate(a,x,y=2){return lO(a,x,y)}}class Lm{static area(a){const x=a.length;let y=0;for(let E=x-1,z=0;z<x;E=z++)y+=a[E].x*a[z].y-a[z].x*a[E].y;return y*.5}static isClockWise(a){return Lm.area(a)<0}static triangulateShape(a,x){const y=[],E=[],z=[];E8(a),w8(y,a);let ee=a.length;x.forEach(E8);for(let ne=0;ne<x.length;ne++)E.push(ee),ee+=x[ne].length,w8(y,x[ne]);const te=PO.triangulate(y,E);for(let ne=0;ne<te.length;ne+=3)z.push(te.slice(ne,ne+3));return z}}function E8(b){const a=b.length;a>2&&b[a-1].equals(b[0])&&b.pop()}function w8(b,a){for(let x=0;x<a.length;x++)b.push(a[x].x),b.push(a[x].y)}class R3 extends io{constructor(a=new QA([new ar(.5,.5),new ar(-.5,.5),new ar(-.5,-.5),new ar(.5,-.5)]),x={}){super(),this.type="ExtrudeGeometry",this.parameters={shapes:a,options:x},a=Array.isArray(a)?a:[a];const y=this,E=[],z=[];for(let te=0,ne=a.length;te<ne;te++){const ie=a[te];ee(ie)}this.setAttribute("position",new Ls(E,3)),this.setAttribute("uv",new Ls(z,2)),this.computeVertexNormals();function ee(te){const ne=[],ie=x.curveSegments!==void 0?x.curveSegments:12,ae=x.steps!==void 0?x.steps:1,oe=x.depth!==void 0?x.depth:1;let le=x.bevelEnabled!==void 0?x.bevelEnabled:!0,ue=x.bevelThickness!==void 0?x.bevelThickness:.2,he=x.bevelSize!==void 0?x.bevelSize:ue-.1,xe=x.bevelOffset!==void 0?x.bevelOffset:0,ve=x.bevelSegments!==void 0?x.bevelSegments:3;const me=x.extrudePath,Pe=x.UVGenerator!==void 0?x.UVGenerator:SO;let we,Me=!1,Le,De,ke,ze;me&&(we=me.getSpacedPoints(ae),Me=!0,le=!1,Le=me.computeFrenetFrames(ae,!1),De=new ft,ke=new ft,ze=new ft),le||(ve=0,ue=0,he=0,xe=0);const He=te.extractPoints(ie);let Re=He.shape;const Fe=He.holes;if(!Lm.isClockWise(Re)){Re=Re.reverse();for(let En=0,gt=Fe.length;En<gt;En++){const xr=Fe[En];Lm.isClockWise(xr)&&(Fe[En]=xr.reverse())}}function pt(En){const xr=10000000000000001e-36;let Lr=En[0];for(let _r=1;_r<=En.length;_r++){const Kr=_r%En.length,Xi=En[Kr],li=Xi.x-Lr.x,Mi=Xi.y-Lr.y,Pt=li*li+Mi*Mi,et=Math.max(Math.abs(Xi.x),Math.abs(Xi.y),Math.abs(Lr.x),Math.abs(Lr.y)),On=xr*et*et;if(Pt<=On){En.splice(Kr,1),_r--;continue}Lr=Xi}}pt(Re),Fe.forEach(pt);const st=Fe.length,Ft=Re;for(let En=0;En<st;En++){const gt=Fe[En];Re=Re.concat(gt)}function an(En,gt,xr){return gt||cr("ExtrudeGeometry: vec does not exist"),En.clone().addScaledVector(gt,xr)}const Zn=Re.length;function Zt(En,gt,xr){let Lr,_r,Kr;const Xi=En.x-gt.x,li=En.y-gt.y,Mi=xr.x-En.x,Pt=xr.y-En.y,et=Xi*Xi+li*li,On=Xi*Pt-li*Mi;if(Math.abs(On)>Number.EPSILON){const vr=Math.sqrt(et),Cn=Math.sqrt(Mi*Mi+Pt*Pt),qn=gt.x-li/vr,As=gt.y+Xi/vr,pi=xr.x-Pt/Cn,Us=xr.y+Mi/Cn,bs=((pi-qn)*Pt-(Us-As)*Mi)/(Xi*Pt-li*Mi);Lr=qn+Xi*bs-En.x,_r=As+li*bs-En.y;const Ur=Lr*Lr+_r*_r;if(Ur<=2)return new ar(Lr,_r);Kr=Math.sqrt(Ur/2)}else{let vr=!1;Xi>Number.EPSILON?Mi>Number.EPSILON&&(vr=!0):Xi<-Number.EPSILON?Mi<-Number.EPSILON&&(vr=!0):Math.sign(li)===Math.sign(Pt)&&(vr=!0),vr?(Lr=-li,_r=Xi,Kr=Math.sqrt(et)):(Lr=Xi,_r=li,Kr=Math.sqrt(et/2))}return new ar(Lr/Kr,_r/Kr)}const nt=[];for(let En=0,gt=Ft.length,xr=gt-1,Lr=En+1;En<gt;En++,xr++,Lr++)xr===gt&&(xr=0),Lr===gt&&(Lr=0),nt[En]=Zt(Ft[En],Ft[xr],Ft[Lr]);const Vt=[];let vt,Yt=nt.concat();for(let En=0,gt=st;En<gt;En++){const xr=Fe[En];vt=[];for(let Lr=0,_r=xr.length,Kr=_r-1,Xi=Lr+1;Lr<_r;Lr++,Kr++,Xi++)Kr===_r&&(Kr=0),Xi===_r&&(Xi=0),vt[Lr]=Zt(xr[Lr],xr[Kr],xr[Xi]);Vt.push(vt),Yt=Yt.concat(vt)}let gn;if(ve===0)gn=Lm.triangulateShape(Ft,Fe);else{const En=[],gt=[];for(let xr=0;xr<ve;xr++){const Lr=xr/ve,_r=ue*Math.cos(Lr*Math.PI/2),Kr=he*Math.sin(Lr*Math.PI/2)+xe;for(let Xi=0,li=Ft.length;Xi<li;Xi++){const Mi=an(Ft[Xi],nt[Xi],Kr);tr(Mi.x,Mi.y,-_r),Lr===0&&En.push(Mi)}for(let Xi=0,li=st;Xi<li;Xi++){const Mi=Fe[Xi];vt=Vt[Xi];const Pt=[];for(let et=0,On=Mi.length;et<On;et++){const vr=an(Mi[et],vt[et],Kr);tr(vr.x,vr.y,-_r),Lr===0&&Pt.push(vr)}Lr===0&&gt.push(Pt)}}gn=Lm.triangulateShape(En,gt)}const fr=gn.length,qt=he+xe;for(let En=0;En<Zn;En++){const gt=le?an(Re[En],Yt[En],qt):Re[En];Me?(ke.copy(Le.normals[0]).multiplyScalar(gt.x),De.copy(Le.binormals[0]).multiplyScalar(gt.y),ze.copy(we[0]).add(ke).add(De),tr(ze.x,ze.y,ze.z)):tr(gt.x,gt.y,0)}for(let En=1;En<=ae;En++)for(let gt=0;gt<Zn;gt++){const xr=le?an(Re[gt],Yt[gt],qt):Re[gt];Me?(ke.copy(Le.normals[En]).multiplyScalar(xr.x),De.copy(Le.binormals[En]).multiplyScalar(xr.y),ze.copy(we[En]).add(ke).add(De),tr(ze.x,ze.y,ze.z)):tr(xr.x,xr.y,oe/ae*En)}for(let En=ve-1;En>=0;En--){const gt=En/ve,xr=ue*Math.cos(gt*Math.PI/2),Lr=he*Math.sin(gt*Math.PI/2)+xe;for(let _r=0,Kr=Ft.length;_r<Kr;_r++){const Xi=an(Ft[_r],nt[_r],Lr);tr(Xi.x,Xi.y,oe+xr)}for(let _r=0,Kr=Fe.length;_r<Kr;_r++){const Xi=Fe[_r];vt=Vt[_r];for(let li=0,Mi=Xi.length;li<Mi;li++){const Pt=an(Xi[li],vt[li],Lr);Me?tr(Pt.x,Pt.y+we[ae-1].y,we[ae-1].x+xr):tr(Pt.x,Pt.y,oe+xr)}}}Xt(),on();function Xt(){const En=E.length/3;if(le){let gt=0,xr=Zn*gt;for(let Lr=0;Lr<fr;Lr++){const _r=gn[Lr];Gn(_r[2]+xr,_r[1]+xr,_r[0]+xr)}gt=ae+ve*2,xr=Zn*gt;for(let Lr=0;Lr<fr;Lr++){const _r=gn[Lr];Gn(_r[0]+xr,_r[1]+xr,_r[2]+xr)}}else{for(let gt=0;gt<fr;gt++){const xr=gn[gt];Gn(xr[2],xr[1],xr[0])}for(let gt=0;gt<fr;gt++){const xr=gn[gt];Gn(xr[0]+Zn*ae,xr[1]+Zn*ae,xr[2]+Zn*ae)}}y.addGroup(En,E.length/3-En,0)}function on(){const En=E.length/3;let gt=0;Hn(Ft,gt),gt+=Ft.length;for(let xr=0,Lr=Fe.length;xr<Lr;xr++){const _r=Fe[xr];Hn(_r,gt),gt+=_r.length}y.addGroup(En,E.length/3-En,1)}function Hn(En,gt){let xr=En.length;for(;--xr>=0;){const Lr=xr;let _r=xr-1;_r<0&&(_r=En.length-1);for(let Kr=0,Xi=ae+ve*2;Kr<Xi;Kr++){const li=Zn*Kr,Mi=Zn*(Kr+1),Pt=gt+Lr+li,et=gt+_r+li,On=gt+_r+Mi,vr=gt+Lr+Mi;Er(Pt,et,On,vr)}}}function tr(En,gt,xr){ne.push(En),ne.push(gt),ne.push(xr)}function Gn(En,gt,xr){ei(En),ei(gt),ei(xr);const Lr=E.length/3,_r=Pe.generateTopUV(y,E,Lr-3,Lr-2,Lr-1);Ri(_r[0]),Ri(_r[1]),Ri(_r[2])}function Er(En,gt,xr,Lr){ei(En),ei(gt),ei(Lr),ei(gt),ei(xr),ei(Lr);const _r=E.length/3,Kr=Pe.generateSideWallUV(y,E,_r-6,_r-3,_r-2,_r-1);Ri(Kr[0]),Ri(Kr[1]),Ri(Kr[3]),Ri(Kr[1]),Ri(Kr[2]),Ri(Kr[3])}function ei(En){E.push(ne[En*3+0]),E.push(ne[En*3+1]),E.push(ne[En*3+2])}function Ri(En){z.push(En.x),z.push(En.y)}}}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}toJSON(){const a=super.toJSON(),x=this.parameters.shapes,y=this.parameters.options;return BO(x,y,a)}static fromJSON(a,x){const y=[];for(let z=0,ee=a.shapes.length;z<ee;z++){const te=x[a.shapes[z]];y.push(te)}const E=a.options.extrudePath;return E!==void 0&&(a.options.extrudePath=new $1[E.type]().fromJSON(E)),new R3(y,a.options)}}const SO={generateTopUV:function(b,a,x,y,E){const z=a[x*3],ee=a[x*3+1],te=a[y*3],ne=a[y*3+1],ie=a[E*3],ae=a[E*3+1];return[new ar(z,ee),new ar(te,ne),new ar(ie,ae)]},generateSideWallUV:function(b,a,x,y,E,z){const ee=a[x*3],te=a[x*3+1],ne=a[x*3+2],ie=a[y*3],ae=a[y*3+1],oe=a[y*3+2],le=a[E*3],ue=a[E*3+1],he=a[E*3+2],xe=a[z*3],ve=a[z*3+1],me=a[z*3+2];return Math.abs(te-ae)<Math.abs(ee-ie)?[new ar(ee,1-ne),new ar(ie,1-oe),new ar(le,1-he),new ar(xe,1-me)]:[new ar(te,1-ne),new ar(ae,1-oe),new ar(ue,1-he),new ar(ve,1-me)]}};function BO(b,a,x){if(x.shapes=[],Array.isArray(b))for(let y=0,E=b.length;y<E;y++){const z=b[y];x.shapes.push(z.uuid)}else x.shapes.push(b.uuid);return x.options=Object.assign({},a),a.extrudePath!==void 0&&(x.options.extrudePath=a.extrudePath.toJSON()),x}class O3 extends Pv{constructor(a=1,x=0){const y=(1+Math.sqrt(5))/2,E=[-1,y,0,1,y,0,-1,-y,0,1,-y,0,0,-1,y,0,1,y,0,-1,-y,0,1,-y,y,0,-1,y,0,1,-y,0,-1,-y,0,1],z=[0,11,5,0,5,1,0,1,7,0,7,10,0,10,11,1,5,9,5,11,4,11,10,2,10,7,6,7,1,8,3,9,4,3,4,2,3,2,6,3,6,8,3,8,9,4,9,5,2,4,11,6,2,10,8,6,7,9,8,1];super(E,z,a,x),this.type="IcosahedronGeometry",this.parameters={radius:a,detail:x}}static fromJSON(a){return new O3(a.radius,a.detail)}}class z3 extends io{constructor(a=[new ar(0,-.5),new ar(.5,0),new ar(0,.5)],x=12,y=0,E=Math.PI*2){super(),this.type="LatheGeometry",this.parameters={points:a,segments:x,phiStart:y,phiLength:E},x=Math.floor(x),E=ta(E,0,Math.PI*2);const z=[],ee=[],te=[],ne=[],ie=[],ae=1/x,oe=new ft,le=new ar,ue=new ft,he=new ft,xe=new ft;let ve=0,me=0;for(let Pe=0;Pe<=a.length-1;Pe++)switch(Pe){case 0:ve=a[Pe+1].x-a[Pe].x,me=a[Pe+1].y-a[Pe].y,ue.x=me*1,ue.y=-ve,ue.z=me*0,xe.copy(ue),ue.normalize(),ne.push(ue.x,ue.y,ue.z);break;case a.length-1:ne.push(xe.x,xe.y,xe.z);break;default:ve=a[Pe+1].x-a[Pe].x,me=a[Pe+1].y-a[Pe].y,ue.x=me*1,ue.y=-ve,ue.z=me*0,he.copy(ue),ue.x+=xe.x,ue.y+=xe.y,ue.z+=xe.z,ue.normalize(),ne.push(ue.x,ue.y,ue.z),xe.copy(he)}for(let Pe=0;Pe<=x;Pe++){const we=y+Pe*ae*E,Me=Math.sin(we),Le=Math.cos(we);for(let De=0;De<=a.length-1;De++){oe.x=a[De].x*Me,oe.y=a[De].y,oe.z=a[De].x*Le,ee.push(oe.x,oe.y,oe.z),le.x=Pe/x,le.y=De/(a.length-1),te.push(le.x,le.y);const ke=ne[3*De+0]*Me,ze=ne[3*De+1],He=ne[3*De+0]*Le;ie.push(ke,ze,He)}}for(let Pe=0;Pe<x;Pe++)for(let we=0;we<a.length-1;we++){const Me=we+Pe*a.length,Le=Me,De=Me+a.length,ke=Me+a.length+1,ze=Me+1;z.push(Le,De,ze),z.push(ke,ze,De)}this.setIndex(z),this.setAttribute("position",new Ls(ee,3)),this.setAttribute("uv",new Ls(te,2)),this.setAttribute("normal",new Ls(ie,3))}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}static fromJSON(a){return new z3(a.points,a.segments,a.phiStart,a.phiLength)}}class nE extends Pv{constructor(a=1,x=0){const y=[1,0,0,-1,0,0,0,1,0,0,-1,0,0,0,1,0,0,-1],E=[0,2,4,0,4,3,0,3,5,0,5,2,1,2,5,1,5,3,1,3,4,1,4,2];super(y,E,a,x),this.type="OctahedronGeometry",this.parameters={radius:a,detail:x}}static fromJSON(a){return new nE(a.radius,a.detail)}}class YA extends io{constructor(a=1,x=1,y=1,E=1){super(),this.type="PlaneGeometry",this.parameters={width:a,height:x,widthSegments:y,heightSegments:E};const z=a/2,ee=x/2,te=Math.floor(y),ne=Math.floor(E),ie=te+1,ae=ne+1,oe=a/te,le=x/ne,ue=[],he=[],xe=[],ve=[];for(let me=0;me<ae;me++){const Pe=me*le-ee;for(let we=0;we<ie;we++){const Me=we*oe-z;he.push(Me,-Pe,0),xe.push(0,0,1),ve.push(we/te),ve.push(1-me/ne)}}for(let me=0;me<ne;me++)for(let Pe=0;Pe<te;Pe++){const we=Pe+ie*me,Me=Pe+ie*(me+1),Le=Pe+1+ie*(me+1),De=Pe+1+ie*me;ue.push(we,Me,De),ue.push(Me,Le,De)}this.setIndex(ue),this.setAttribute("position",new Ls(he,3)),this.setAttribute("normal",new Ls(xe,3)),this.setAttribute("uv",new Ls(ve,2))}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}static fromJSON(a){return new YA(a.width,a.height,a.widthSegments,a.heightSegments)}}class k3 extends io{constructor(a=.5,x=1,y=32,E=1,z=0,ee=Math.PI*2){super(),this.type="RingGeometry",this.parameters={innerRadius:a,outerRadius:x,thetaSegments:y,phiSegments:E,thetaStart:z,thetaLength:ee},y=Math.max(3,y),E=Math.max(1,E);const te=[],ne=[],ie=[],ae=[];let oe=a;const le=(x-a)/E,ue=new ft,he=new ar;for(let xe=0;xe<=E;xe++){for(let ve=0;ve<=y;ve++){const me=z+ve/y*ee;ue.x=oe*Math.cos(me),ue.y=oe*Math.sin(me),ne.push(ue.x,ue.y,ue.z),ie.push(0,0,1),he.x=(ue.x/x+1)/2,he.y=(ue.y/x+1)/2,ae.push(he.x,he.y)}oe+=le}for(let xe=0;xe<E;xe++){const ve=xe*(y+1);for(let me=0;me<y;me++){const Pe=me+ve,we=Pe,Me=Pe+y+1,Le=Pe+y+2,De=Pe+1;te.push(we,Me,De),te.push(Me,Le,De)}}this.setIndex(te),this.setAttribute("position",new Ls(ne,3)),this.setAttribute("normal",new Ls(ie,3)),this.setAttribute("uv",new Ls(ae,2))}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}static fromJSON(a){return new k3(a.innerRadius,a.outerRadius,a.thetaSegments,a.phiSegments,a.thetaStart,a.thetaLength)}}class H3 extends io{constructor(a=new QA([new ar(0,.5),new ar(-.5,-.5),new ar(.5,-.5)]),x=12){super(),this.type="ShapeGeometry",this.parameters={shapes:a,curveSegments:x};const y=[],E=[],z=[],ee=[];let te=0,ne=0;if(Array.isArray(a)===!1)ie(a);else for(let ae=0;ae<a.length;ae++)ie(a[ae]),this.addGroup(te,ne,ae),te+=ne,ne=0;this.setIndex(y),this.setAttribute("position",new Ls(E,3)),this.setAttribute("normal",new Ls(z,3)),this.setAttribute("uv",new Ls(ee,2));function ie(ae){const oe=E.length/3,le=ae.extractPoints(x);let ue=le.shape;const he=le.holes;Lm.isClockWise(ue)===!1&&(ue=ue.reverse());for(let ve=0,me=he.length;ve<me;ve++){const Pe=he[ve];Lm.isClockWise(Pe)===!0&&(he[ve]=Pe.reverse())}const xe=Lm.triangulateShape(ue,he);for(let ve=0,me=he.length;ve<me;ve++){const Pe=he[ve];ue=ue.concat(Pe)}for(let ve=0,me=ue.length;ve<me;ve++){const Pe=ue[ve];E.push(Pe.x,Pe.y,0),z.push(0,0,1),ee.push(Pe.x,Pe.y)}for(let ve=0,me=xe.length;ve<me;ve++){const Pe=xe[ve],we=Pe[0]+oe,Me=Pe[1]+oe,Le=Pe[2]+oe;y.push(we,Me,Le),ne+=3}}}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}toJSON(){const a=super.toJSON(),x=this.parameters.shapes;return MO(x,a)}static fromJSON(a,x){const y=[];for(let E=0,z=a.shapes.length;E<z;E++){const ee=x[a.shapes[E]];y.push(ee)}return new H3(y,a.curveSegments)}}function MO(b,a){if(a.shapes=[],Array.isArray(b))for(let x=0,y=b.length;x<y;x++){const E=b[x];a.shapes.push(E.uuid)}else a.shapes.push(b.uuid);return a}class Qp extends io{constructor(a=1,x=32,y=16,E=0,z=Math.PI*2,ee=0,te=Math.PI){super(),this.type="SphereGeometry",this.parameters={radius:a,widthSegments:x,heightSegments:y,phiStart:E,phiLength:z,thetaStart:ee,thetaLength:te},x=Math.max(3,Math.floor(x)),y=Math.max(2,Math.floor(y));const ne=Math.min(ee+te,Math.PI);let ie=0;const ae=[],oe=new ft,le=new ft,ue=[],he=[],xe=[],ve=[];for(let me=0;me<=y;me++){const Pe=[],we=me/y;let Me=0;me===0&&ee===0?Me=.5/x:me===y&&ne===Math.PI&&(Me=-.5/x);for(let Le=0;Le<=x;Le++){const De=Le/x;oe.x=-a*Math.cos(E+De*z)*Math.sin(ee+we*te),oe.y=a*Math.cos(ee+we*te),oe.z=a*Math.sin(E+De*z)*Math.sin(ee+we*te),he.push(oe.x,oe.y,oe.z),le.copy(oe).normalize(),xe.push(le.x,le.y,le.z),ve.push(De+Me,1-we),Pe.push(ie++)}ae.push(Pe)}for(let me=0;me<y;me++)for(let Pe=0;Pe<x;Pe++){const we=ae[me][Pe+1],Me=ae[me][Pe],Le=ae[me+1][Pe],De=ae[me+1][Pe+1];(me!==0||ee>0)&&ue.push(we,Me,De),(me!==y-1||ne<Math.PI)&&ue.push(Me,Le,De)}this.setIndex(ue),this.setAttribute("position",new Ls(he,3)),this.setAttribute("normal",new Ls(xe,3)),this.setAttribute("uv",new Ls(ve,2))}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}static fromJSON(a){return new Qp(a.radius,a.widthSegments,a.heightSegments,a.phiStart,a.phiLength,a.thetaStart,a.thetaLength)}}class U3 extends Pv{constructor(a=1,x=0){const y=[1,1,1,-1,-1,1,-1,1,-1,1,-1,-1],E=[2,1,0,0,3,2,1,3,0,2,3,1];super(y,E,a,x),this.type="TetrahedronGeometry",this.parameters={radius:a,detail:x}}static fromJSON(a){return new U3(a.radius,a.detail)}}class j3 extends io{constructor(a=1,x=.4,y=12,E=48,z=Math.PI*2){super(),this.type="TorusGeometry",this.parameters={radius:a,tube:x,radialSegments:y,tubularSegments:E,arc:z},y=Math.floor(y),E=Math.floor(E);const ee=[],te=[],ne=[],ie=[],ae=new ft,oe=new ft,le=new ft;for(let ue=0;ue<=y;ue++)for(let he=0;he<=E;he++){const xe=he/E*z,ve=ue/y*Math.PI*2;oe.x=(a+x*Math.cos(ve))*Math.cos(xe),oe.y=(a+x*Math.cos(ve))*Math.sin(xe),oe.z=x*Math.sin(ve),te.push(oe.x,oe.y,oe.z),ae.x=a*Math.cos(xe),ae.y=a*Math.sin(xe),le.subVectors(oe,ae).normalize(),ne.push(le.x,le.y,le.z),ie.push(he/E),ie.push(ue/y)}for(let ue=1;ue<=y;ue++)for(let he=1;he<=E;he++){const xe=(E+1)*ue+he-1,ve=(E+1)*(ue-1)+he-1,me=(E+1)*(ue-1)+he,Pe=(E+1)*ue+he;ee.push(xe,ve,Pe),ee.push(ve,me,Pe)}this.setIndex(ee),this.setAttribute("position",new Ls(te,3)),this.setAttribute("normal",new Ls(ne,3)),this.setAttribute("uv",new Ls(ie,2))}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}static fromJSON(a){return new j3(a.radius,a.tube,a.radialSegments,a.tubularSegments,a.arc)}}class V3 extends io{constructor(a=1,x=.4,y=64,E=8,z=2,ee=3){super(),this.type="TorusKnotGeometry",this.parameters={radius:a,tube:x,tubularSegments:y,radialSegments:E,p:z,q:ee},y=Math.floor(y),E=Math.floor(E);const te=[],ne=[],ie=[],ae=[],oe=new ft,le=new ft,ue=new ft,he=new ft,xe=new ft,ve=new ft,me=new ft;for(let we=0;we<=y;++we){const Me=we/y*z*Math.PI*2;Pe(Me,z,ee,a,ue),Pe(Me+.01,z,ee,a,he),ve.subVectors(he,ue),me.addVectors(he,ue),xe.crossVectors(ve,me),me.crossVectors(xe,ve),xe.normalize(),me.normalize();for(let Le=0;Le<=E;++Le){const De=Le/E*Math.PI*2,ke=-x*Math.cos(De),ze=x*Math.sin(De);oe.x=ue.x+(ke*me.x+ze*xe.x),oe.y=ue.y+(ke*me.y+ze*xe.y),oe.z=ue.z+(ke*me.z+ze*xe.z),ne.push(oe.x,oe.y,oe.z),le.subVectors(oe,ue).normalize(),ie.push(le.x,le.y,le.z),ae.push(we/y),ae.push(Le/E)}}for(let we=1;we<=y;we++)for(let Me=1;Me<=E;Me++){const Le=(E+1)*(we-1)+(Me-1),De=(E+1)*we+(Me-1),ke=(E+1)*we+Me,ze=(E+1)*(we-1)+Me;te.push(Le,De,ze),te.push(De,ke,ze)}this.setIndex(te),this.setAttribute("position",new Ls(ne,3)),this.setAttribute("normal",new Ls(ie,3)),this.setAttribute("uv",new Ls(ae,2));function Pe(we,Me,Le,De,ke){const ze=Math.cos(we),He=Math.sin(we),Re=Le/Me*we,Fe=Math.cos(Re);ke.x=De*(2+Fe)*.5*ze,ke.y=De*(2+Fe)*He*.5,ke.z=De*Math.sin(Re)*.5}}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}static fromJSON(a){return new V3(a.radius,a.tube,a.tubularSegments,a.radialSegments,a.p,a.q)}}class rE extends io{constructor(a=new I3(new ft(-1,-1,0),new ft(-1,1,0),new ft(1,1,0)),x=64,y=1,E=8,z=!1){super(),this.type="TubeGeometry",this.parameters={path:a,tubularSegments:x,radius:y,radialSegments:E,closed:z};const ee=a.computeFrenetFrames(x,z);this.tangents=ee.tangents,this.normals=ee.normals,this.binormals=ee.binormals;const te=new ft,ne=new ft,ie=new ar;let ae=new ft;const oe=[],le=[],ue=[],he=[];xe(),this.setIndex(he),this.setAttribute("position",new Ls(oe,3)),this.setAttribute("normal",new Ls(le,3)),this.setAttribute("uv",new Ls(ue,2));function xe(){for(let we=0;we<x;we++)ve(we);ve(z===!1?x:0),Pe(),me()}function ve(we){ae=a.getPointAt(we/x,ae);const Me=ee.normals[we],Le=ee.binormals[we];for(let De=0;De<=E;De++){const ke=De/E*Math.PI*2,ze=Math.sin(ke),He=-Math.cos(ke);ne.x=He*Me.x+ze*Le.x,ne.y=He*Me.y+ze*Le.y,ne.z=He*Me.z+ze*Le.z,ne.normalize(),le.push(ne.x,ne.y,ne.z),te.x=ae.x+y*ne.x,te.y=ae.y+y*ne.y,te.z=ae.z+y*ne.z,oe.push(te.x,te.y,te.z)}}function me(){for(let we=1;we<=x;we++)for(let Me=1;Me<=E;Me++){const Le=(E+1)*(we-1)+(Me-1),De=(E+1)*we+(Me-1),ke=(E+1)*we+Me,ze=(E+1)*(we-1)+Me;he.push(Le,De,ze),he.push(De,ke,ze)}}function Pe(){for(let we=0;we<=x;we++)for(let Me=0;Me<=E;Me++)ie.x=we/x,ie.y=Me/E,ue.push(ie.x,ie.y)}}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}toJSON(){const a=super.toJSON();return a.path=this.parameters.path.toJSON(),a}static fromJSON(a){return new rE(new $1[a.path.type]().fromJSON(a.path),a.tubularSegments,a.radius,a.radialSegments,a.closed)}}class TO extends io{constructor(a=null){if(super(),this.type="WireframeGeometry",this.parameters={geometry:a},a!==null){const x=[],y=new Set,E=new ft,z=new ft;if(a.index!==null){const ee=a.attributes.position,te=a.index;let ne=a.groups;ne.length===0&&(ne=[{start:0,count:te.count,materialIndex:0}]);for(let ie=0,ae=ne.length;ie<ae;++ie){const oe=ne[ie],le=oe.start,ue=oe.count;for(let he=le,xe=le+ue;he<xe;he+=3)for(let ve=0;ve<3;ve++){const me=te.getX(he+ve),Pe=te.getX(he+(ve+1)%3);E.fromBufferAttribute(ee,me),z.fromBufferAttribute(ee,Pe),C8(E,z,y)===!0&&(x.push(E.x,E.y,E.z),x.push(z.x,z.y,z.z))}}}else{const ee=a.attributes.position;for(let te=0,ne=ee.count/3;te<ne;te++)for(let ie=0;ie<3;ie++){const ae=3*te+ie,oe=3*te+(ie+1)%3;E.fromBufferAttribute(ee,ae),z.fromBufferAttribute(ee,oe),C8(E,z,y)===!0&&(x.push(E.x,E.y,E.z),x.push(z.x,z.y,z.z))}}this.setAttribute("position",new Ls(x,3))}}copy(a){return super.copy(a),this.parameters=Object.assign({},a.parameters),this}}function C8(b,a,x){const y=`${b.x},${b.y},${b.z}-${a.x},${a.y},${a.z}`,E=`${a.x},${a.y},${a.z}-${b.x},${b.y},${b.z}`;return x.has(y)===!0||x.has(E)===!0?!1:(x.add(y),x.add(E),!0)}var P8=Object.freeze({__proto__:null,BoxGeometry:L0,CapsuleGeometry:E3,CircleGeometry:w3,ConeGeometry:cy,CylinderGeometry:WA,DodecahedronGeometry:C3,EdgesGeometry:KR,ExtrudeGeometry:R3,IcosahedronGeometry:O3,LatheGeometry:z3,OctahedronGeometry:nE,PlaneGeometry:YA,PolyhedronGeometry:Pv,RingGeometry:k3,ShapeGeometry:H3,SphereGeometry:Qp,TetrahedronGeometry:U3,TorusGeometry:j3,TorusKnotGeometry:V3,TubeGeometry:rE,WireframeGeometry:TO});class S8 extends Pd{constructor(a){super(),this.isShadowMaterial=!0,this.type="ShadowMaterial",this.color=new Ki(0),this.transparent=!0,this.fog=!0,this.setValues(a)}copy(a){return super.copy(a),this.color.copy(a.color),this.fog=a.fog,this}}class DO extends null{constructor(a){super(a),this.isRawShaderMaterial=!0,this.type="RawShaderMaterial"}}class G3 extends Pd{constructor(a){super(),this.isMeshStandardMaterial=!0,this.type="MeshStandardMaterial",this.defines={STANDARD:""},this.color=new Ki(16777215),this.roughness=1,this.metalness=0,this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new Ki(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=je,this.normalScale=new ar(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.roughnessMap=null,this.metalnessMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new zf,this.envMapIntensity=1,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(a)}copy(a){return super.copy(a),this.defines={STANDARD:""},this.color.copy(a.color),this.roughness=a.roughness,this.metalness=a.metalness,this.map=a.map,this.lightMap=a.lightMap,this.lightMapIntensity=a.lightMapIntensity,this.aoMap=a.aoMap,this.aoMapIntensity=a.aoMapIntensity,this.emissive.copy(a.emissive),this.emissiveMap=a.emissiveMap,this.emissiveIntensity=a.emissiveIntensity,this.bumpMap=a.bumpMap,this.bumpScale=a.bumpScale,this.normalMap=a.normalMap,this.normalMapType=a.normalMapType,this.normalScale.copy(a.normalScale),this.displacementMap=a.displacementMap,this.displacementScale=a.displacementScale,this.displacementBias=a.displacementBias,this.roughnessMap=a.roughnessMap,this.metalnessMap=a.metalnessMap,this.alphaMap=a.alphaMap,this.envMap=a.envMap,this.envMapRotation.copy(a.envMapRotation),this.envMapIntensity=a.envMapIntensity,this.wireframe=a.wireframe,this.wireframeLinewidth=a.wireframeLinewidth,this.wireframeLinecap=a.wireframeLinecap,this.wireframeLinejoin=a.wireframeLinejoin,this.flatShading=a.flatShading,this.fog=a.fog,this}}class B8 extends G3{constructor(a){super(),this.isMeshPhysicalMaterial=!0,this.defines={STANDARD:"",PHYSICAL:""},this.type="MeshPhysicalMaterial",this.anisotropyRotation=0,this.anisotropyMap=null,this.clearcoatMap=null,this.clearcoatRoughness=0,this.clearcoatRoughnessMap=null,this.clearcoatNormalScale=new ar(1,1),this.clearcoatNormalMap=null,this.ior=1.5,Object.defineProperty(this,"reflectivity",{get:function(){return ta(2.5*(this.ior-1)/(this.ior+1),0,1)},set:function(x){this.ior=(1+.4*x)/(1-.4*x)}}),this.iridescenceMap=null,this.iridescenceIOR=1.3,this.iridescenceThicknessRange=[100,400],this.iridescenceThicknessMap=null,this.sheenColor=new Ki(0),this.sheenColorMap=null,this.sheenRoughness=1,this.sheenRoughnessMap=null,this.transmissionMap=null,this.thickness=0,this.thicknessMap=null,this.attenuationDistance=1/0,this.attenuationColor=new Ki(1,1,1),this.specularIntensity=1,this.specularIntensityMap=null,this.specularColor=new Ki(1,1,1),this.specularColorMap=null,this._anisotropy=0,this._clearcoat=0,this._dispersion=0,this._iridescence=0,this._sheen=0,this._transmission=0,this.setValues(a)}get anisotropy(){return this._anisotropy}set anisotropy(a){this._anisotropy>0!=a>0&&this.version++,this._anisotropy=a}get clearcoat(){return this._clearcoat}set clearcoat(a){this._clearcoat>0!=a>0&&this.version++,this._clearcoat=a}get iridescence(){return this._iridescence}set iridescence(a){this._iridescence>0!=a>0&&this.version++,this._iridescence=a}get dispersion(){return this._dispersion}set dispersion(a){this._dispersion>0!=a>0&&this.version++,this._dispersion=a}get sheen(){return this._sheen}set sheen(a){this._sheen>0!=a>0&&this.version++,this._sheen=a}get transmission(){return this._transmission}set transmission(a){this._transmission>0!=a>0&&this.version++,this._transmission=a}copy(a){return super.copy(a),this.defines={STANDARD:"",PHYSICAL:""},this.anisotropy=a.anisotropy,this.anisotropyRotation=a.anisotropyRotation,this.anisotropyMap=a.anisotropyMap,this.clearcoat=a.clearcoat,this.clearcoatMap=a.clearcoatMap,this.clearcoatRoughness=a.clearcoatRoughness,this.clearcoatRoughnessMap=a.clearcoatRoughnessMap,this.clearcoatNormalMap=a.clearcoatNormalMap,this.clearcoatNormalScale.copy(a.clearcoatNormalScale),this.dispersion=a.dispersion,this.ior=a.ior,this.iridescence=a.iridescence,this.iridescenceMap=a.iridescenceMap,this.iridescenceIOR=a.iridescenceIOR,this.iridescenceThicknessRange=[...a.iridescenceThicknessRange],this.iridescenceThicknessMap=a.iridescenceThicknessMap,this.sheen=a.sheen,this.sheenColor.copy(a.sheenColor),this.sheenColorMap=a.sheenColorMap,this.sheenRoughness=a.sheenRoughness,this.sheenRoughnessMap=a.sheenRoughnessMap,this.transmission=a.transmission,this.transmissionMap=a.transmissionMap,this.thickness=a.thickness,this.thicknessMap=a.thicknessMap,this.attenuationDistance=a.attenuationDistance,this.attenuationColor.copy(a.attenuationColor),this.specularIntensity=a.specularIntensity,this.specularIntensityMap=a.specularIntensityMap,this.specularColor.copy(a.specularColor),this.specularColorMap=a.specularColorMap,this}}class X3 extends Pd{constructor(a){super(),this.isMeshPhongMaterial=!0,this.type="MeshPhongMaterial",this.color=new Ki(16777215),this.specular=new Ki(1118481),this.shininess=30,this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new Ki(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=je,this.normalScale=new ar(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new zf,this.combine=lh,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(a)}copy(a){return super.copy(a),this.color.copy(a.color),this.specular.copy(a.specular),this.shininess=a.shininess,this.map=a.map,this.lightMap=a.lightMap,this.lightMapIntensity=a.lightMapIntensity,this.aoMap=a.aoMap,this.aoMapIntensity=a.aoMapIntensity,this.emissive.copy(a.emissive),this.emissiveMap=a.emissiveMap,this.emissiveIntensity=a.emissiveIntensity,this.bumpMap=a.bumpMap,this.bumpScale=a.bumpScale,this.normalMap=a.normalMap,this.normalMapType=a.normalMapType,this.normalScale.copy(a.normalScale),this.displacementMap=a.displacementMap,this.displacementScale=a.displacementScale,this.displacementBias=a.displacementBias,this.specularMap=a.specularMap,this.alphaMap=a.alphaMap,this.envMap=a.envMap,this.envMapRotation.copy(a.envMapRotation),this.combine=a.combine,this.reflectivity=a.reflectivity,this.refractionRatio=a.refractionRatio,this.wireframe=a.wireframe,this.wireframeLinewidth=a.wireframeLinewidth,this.wireframeLinecap=a.wireframeLinecap,this.wireframeLinejoin=a.wireframeLinejoin,this.flatShading=a.flatShading,this.fog=a.fog,this}}class M8 extends Pd{constructor(a){super(),this.isMeshToonMaterial=!0,this.defines={TOON:""},this.type="MeshToonMaterial",this.color=new Ki(16777215),this.map=null,this.gradientMap=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new Ki(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=je,this.normalScale=new ar(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.fog=!0,this.setValues(a)}copy(a){return super.copy(a),this.color.copy(a.color),this.map=a.map,this.gradientMap=a.gradientMap,this.lightMap=a.lightMap,this.lightMapIntensity=a.lightMapIntensity,this.aoMap=a.aoMap,this.aoMapIntensity=a.aoMapIntensity,this.emissive.copy(a.emissive),this.emissiveMap=a.emissiveMap,this.emissiveIntensity=a.emissiveIntensity,this.bumpMap=a.bumpMap,this.bumpScale=a.bumpScale,this.normalMap=a.normalMap,this.normalMapType=a.normalMapType,this.normalScale.copy(a.normalScale),this.displacementMap=a.displacementMap,this.displacementScale=a.displacementScale,this.displacementBias=a.displacementBias,this.alphaMap=a.alphaMap,this.wireframe=a.wireframe,this.wireframeLinewidth=a.wireframeLinewidth,this.wireframeLinecap=a.wireframeLinecap,this.wireframeLinejoin=a.wireframeLinejoin,this.fog=a.fog,this}}class T8 extends Pd{constructor(a){super(),this.isMeshNormalMaterial=!0,this.type="MeshNormalMaterial",this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=je,this.normalScale=new ar(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.flatShading=!1,this.setValues(a)}copy(a){return super.copy(a),this.bumpMap=a.bumpMap,this.bumpScale=a.bumpScale,this.normalMap=a.normalMap,this.normalMapType=a.normalMapType,this.normalScale.copy(a.normalScale),this.displacementMap=a.displacementMap,this.displacementScale=a.displacementScale,this.displacementBias=a.displacementBias,this.wireframe=a.wireframe,this.wireframeLinewidth=a.wireframeLinewidth,this.flatShading=a.flatShading,this}}class W3 extends Pd{constructor(a){super(),this.isMeshLambertMaterial=!0,this.type="MeshLambertMaterial",this.color=new Ki(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new Ki(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=je,this.normalScale=new ar(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.envMapRotation=new zf,this.combine=lh,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.flatShading=!1,this.fog=!0,this.setValues(a)}copy(a){return super.copy(a),this.color.copy(a.color),this.map=a.map,this.lightMap=a.lightMap,this.lightMapIntensity=a.lightMapIntensity,this.aoMap=a.aoMap,this.aoMapIntensity=a.aoMapIntensity,this.emissive.copy(a.emissive),this.emissiveMap=a.emissiveMap,this.emissiveIntensity=a.emissiveIntensity,this.bumpMap=a.bumpMap,this.bumpScale=a.bumpScale,this.normalMap=a.normalMap,this.normalMapType=a.normalMapType,this.normalScale.copy(a.normalScale),this.displacementMap=a.displacementMap,this.displacementScale=a.displacementScale,this.displacementBias=a.displacementBias,this.specularMap=a.specularMap,this.alphaMap=a.alphaMap,this.envMap=a.envMap,this.envMapRotation.copy(a.envMapRotation),this.combine=a.combine,this.reflectivity=a.reflectivity,this.refractionRatio=a.refractionRatio,this.wireframe=a.wireframe,this.wireframeLinewidth=a.wireframeLinewidth,this.wireframeLinecap=a.wireframeLinecap,this.wireframeLinejoin=a.wireframeLinejoin,this.flatShading=a.flatShading,this.fog=a.fog,this}}class D8 extends Pd{constructor(a){super(),this.isMeshDepthMaterial=!0,this.type="MeshDepthMaterial",this.depthPacking=ce,this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.setValues(a)}copy(a){return super.copy(a),this.depthPacking=a.depthPacking,this.map=a.map,this.alphaMap=a.alphaMap,this.displacementMap=a.displacementMap,this.displacementScale=a.displacementScale,this.displacementBias=a.displacementBias,this.wireframe=a.wireframe,this.wireframeLinewidth=a.wireframeLinewidth,this}}class I8 extends Pd{constructor(a){super(),this.isMeshDistanceMaterial=!0,this.type="MeshDistanceMaterial",this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.setValues(a)}copy(a){return super.copy(a),this.map=a.map,this.alphaMap=a.alphaMap,this.displacementMap=a.displacementMap,this.displacementScale=a.displacementScale,this.displacementBias=a.displacementBias,this}}class N8 extends Pd{constructor(a){super(),this.isMeshMatcapMaterial=!0,this.defines={MATCAP:""},this.type="MeshMatcapMaterial",this.color=new Ki(16777215),this.matcap=null,this.map=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=je,this.normalScale=new ar(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.wireframe=!1,this.wireframeLinewidth=1,this.flatShading=!1,this.fog=!0,this.setValues(a)}copy(a){return super.copy(a),this.defines={MATCAP:""},this.color.copy(a.color),this.matcap=a.matcap,this.map=a.map,this.bumpMap=a.bumpMap,this.bumpScale=a.bumpScale,this.normalMap=a.normalMap,this.normalMapType=a.normalMapType,this.normalScale.copy(a.normalScale),this.displacementMap=a.displacementMap,this.displacementScale=a.displacementScale,this.displacementBias=a.displacementBias,this.alphaMap=a.alphaMap,this.wireframe=a.wireframe,this.wireframeLinewidth=a.wireframeLinewidth,this.flatShading=a.flatShading,this.fog=a.fog,this}}class Q3 extends Jd{constructor(a){super(),this.isLineDashedMaterial=!0,this.type="LineDashedMaterial",this.scale=1,this.dashSize=3,this.gapSize=1,this.setValues(a)}copy(a){return super.copy(a),this.scale=a.scale,this.dashSize=a.dashSize,this.gapSize=a.gapSize,this}}function Bv(b,a){return!b||b.constructor===a?b:typeof a.BYTES_PER_ELEMENT=="number"?new a(b):Array.prototype.slice.call(b)}function F8(b){return ArrayBuffer.isView(b)&&!(b instanceof DataView)}function L8(b){function a(E,z){return b[E]-b[z]}const x=b.length,y=new Array(x);for(let E=0;E!==x;++E)y[E]=E;return y.sort(a),y}function Z3(b,a,x){const y=b.length,E=new b.constructor(y);for(let z=0,ee=0;ee!==y;++z){const te=x[z]*a;for(let ne=0;ne!==a;++ne)E[ee++]=b[te+ne]}return E}function Y3(b,a,x,y){let E=1,z=b[0];for(;z!==void 0&&z[y]===void 0;)z=b[E++];if(z===void 0)return;let ee=z[y];if(ee!==void 0)if(Array.isArray(ee))do ee=z[y],ee!==void 0&&(a.push(z.time),x.push(...ee)),z=b[E++];while(z!==void 0);else if(ee.toArray!==void 0)do ee=z[y],ee!==void 0&&(a.push(z.time),ee.toArray(x,x.length)),z=b[E++];while(z!==void 0);else do ee=z[y],ee!==void 0&&(a.push(z.time),x.push(ee)),z=b[E++];while(z!==void 0)}function IO(b,a,x,y,E=30){const z=b.clone();z.name=a;const ee=[];for(let ne=0;ne<z.tracks.length;++ne){const ie=z.tracks[ne],ae=ie.getValueSize(),oe=[],le=[];for(let ue=0;ue<ie.times.length;++ue){const he=ie.times[ue]*E;if(!(he<x||he>=y)){oe.push(ie.times[ue]);for(let xe=0;xe<ae;++xe)le.push(ie.values[ue*ae+xe])}}oe.length!==0&&(ie.times=Bv(oe,ie.times.constructor),ie.values=Bv(le,ie.values.constructor),ee.push(ie))}z.tracks=ee;let te=1/0;for(let ne=0;ne<z.tracks.length;++ne)te>z.tracks[ne].times[0]&&(te=z.tracks[ne].times[0]);for(let ne=0;ne<z.tracks.length;++ne)z.tracks[ne].shift(-1*te);return z.resetDuration(),z}function NO(b,a=0,x=b,y=30){y<=0&&(y=30);const E=x.tracks.length,z=a/y;for(let ee=0;ee<E;++ee){const te=x.tracks[ee],ne=te.ValueTypeName;if(ne==="bool"||ne==="string")continue;const ie=b.tracks.find(function(me){return me.name===te.name&&me.ValueTypeName===ne});if(ie===void 0)continue;let ae=0;const oe=te.getValueSize();te.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline&&(ae=oe/3);let le=0;const ue=ie.getValueSize();ie.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline&&(le=ue/3);const he=te.times.length-1;let xe;if(z<=te.times[0]){const me=ae,Pe=oe-ae;xe=te.values.slice(me,Pe)}else if(z>=te.times[he]){const me=he*oe+ae,Pe=me+oe-ae;xe=te.values.slice(me,Pe)}else{const me=te.createInterpolant(),Pe=ae,we=oe-ae;me.evaluate(z),xe=me.resultBuffer.slice(Pe,we)}ne==="quaternion"&&new pc().fromArray(xe).normalize().conjugate().toArray(xe);const ve=ie.times.length;for(let me=0;me<ve;++me){const Pe=me*ue+le;if(ne==="quaternion")pc.multiplyQuaternionsFlat(ie.values,Pe,xe,0,ie.values,Pe);else{const we=ue-le*2;for(let Me=0;Me<we;++Me)ie.values[Pe+Me]-=xe[Me]}}}return b.blendMode=Up,b}class kce{static convertArray(a,x){return Bv(a,x)}static isTypedArray(a){return F8(a)}static getKeyframeOrder(a){return L8(a)}static sortedArray(a,x,y){return Z3(a,x,y)}static flattenJSON(a,x,y,E){Y3(a,x,y,E)}static subclip(a,x,y,E,z=30){return IO(a,x,y,E,z)}static makeClipAdditive(a,x=0,y=a,E=30){return NO(a,x,y,E)}}class iE{constructor(a,x,y,E){this.parameterPositions=a,this._cachedIndex=0,this.resultBuffer=E!==void 0?E:new x.constructor(y),this.sampleValues=x,this.valueSize=y,this.settings=null,this.DefaultSettings_={}}evaluate(a){const x=this.parameterPositions;let y=this._cachedIndex,E=x[y],z=x[y-1];e:{t:{let ee;n:{r:if(!(a<E)){for(let te=y+2;;){if(E===void 0){if(a<z)break r;return y=x.length,this._cachedIndex=y,this.copySampleValue_(y-1)}if(y===te)break;if(z=E,E=x[++y],a<E)break t}ee=x.length;break n}if(!(a>=z)){const te=x[1];a<te&&(y=2,z=te);for(let ne=y-2;;){if(z===void 0)return this._cachedIndex=0,this.copySampleValue_(0);if(y===ne)break;if(E=z,z=x[--y-1],a>=z)break t}ee=y,y=0;break n}break e}for(;y<ee;){const te=y+ee>>>1;a<x[te]?ee=te:y=te+1}if(E=x[y],z=x[y-1],z===void 0)return this._cachedIndex=0,this.copySampleValue_(0);if(E===void 0)return y=x.length,this._cachedIndex=y,this.copySampleValue_(y-1)}this._cachedIndex=y,this.intervalChanged_(y,z,E)}return this.interpolate_(y,z,a,E)}getSettings_(){return this.settings||this.DefaultSettings_}copySampleValue_(a){const x=this.resultBuffer,y=this.sampleValues,E=this.valueSize,z=a*E;for(let ee=0;ee!==E;++ee)x[ee]=y[z+ee];return x}interpolate_(){throw new Error("call to abstract method")}intervalChanged_(){}}class FO extends iE{constructor(a,x,y,E){super(a,x,y,E),this._weightPrev=-0,this._offsetPrev=-0,this._weightNext=-0,this._offsetNext=-0,this.DefaultSettings_={endingStart:wl,endingEnd:wl}}intervalChanged_(a,x,y){const E=this.parameterPositions;let z=a-2,ee=a+1,te=E[z],ne=E[ee];if(te===void 0)switch(this.getSettings_().endingStart){case Zh:z=a,te=2*x-y;break;case Sg:z=E.length-2,te=x+E[z]-E[z+1];break;default:z=a,te=y}if(ne===void 0)switch(this.getSettings_().endingEnd){case Zh:ee=a,ne=2*y-x;break;case Sg:ee=1,ne=y+E[1]-E[0];break;default:ee=a-1,ne=x}const ie=(y-x)*.5,ae=this.valueSize;this._weightPrev=ie/(x-te),this._weightNext=ie/(ne-y),this._offsetPrev=z*ae,this._offsetNext=ee*ae}interpolate_(a,x,y,E){const z=this.resultBuffer,ee=this.sampleValues,te=this.valueSize,ne=a*te,ie=ne-te,ae=this._offsetPrev,oe=this._offsetNext,le=this._weightPrev,ue=this._weightNext,he=(y-x)/(E-x),xe=he*he,ve=xe*he,me=-le*ve+2*le*xe-le*he,Pe=(1+le)*ve+(-1.5-2*le)*xe+(-.5+le)*he+1,we=(-1-ue)*ve+(1.5+ue)*xe+.5*he,Me=ue*ve-ue*xe;for(let Le=0;Le!==te;++Le)z[Le]=me*ee[ae+Le]+Pe*ee[ie+Le]+we*ee[ne+Le]+Me*ee[oe+Le];return z}}class R8 extends iE{constructor(a,x,y,E){super(a,x,y,E)}interpolate_(a,x,y,E){const z=this.resultBuffer,ee=this.sampleValues,te=this.valueSize,ne=a*te,ie=ne-te,ae=(y-x)/(E-x),oe=1-ae;for(let le=0;le!==te;++le)z[le]=ee[ie+le]*oe+ee[ne+le]*ae;return z}}class LO extends iE{constructor(a,x,y,E){super(a,x,y,E)}interpolate_(a){return this.copySampleValue_(a-1)}}class Zp{constructor(a,x,y,E){if(a===void 0)throw new Error("THREE.KeyframeTrack: track name is undefined");if(x===void 0||x.length===0)throw new Error("THREE.KeyframeTrack: no keyframes in track named "+a);this.name=a,this.times=Bv(x,this.TimeBufferType),this.values=Bv(y,this.ValueBufferType),this.setInterpolation(E||this.DefaultInterpolation)}static toJSON(a){const x=a.constructor;let y;if(x.toJSON!==this.toJSON)y=x.toJSON(a);else{y={name:a.name,times:Bv(a.times,Array),values:Bv(a.values,Array)};const E=a.getInterpolation();E!==a.DefaultInterpolation&&(y.interpolation=E)}return y.type=a.ValueTypeName,y}InterpolantFactoryMethodDiscrete(a){return new LO(this.times,this.values,this.getValueSize(),a)}InterpolantFactoryMethodLinear(a){return new R8(this.times,this.values,this.getValueSize(),a)}InterpolantFactoryMethodSmooth(a){return new FO(this.times,this.values,this.getValueSize(),a)}setInterpolation(a){let x;switch(a){case S0:x=this.InterpolantFactoryMethodDiscrete;break;case Tm:x=this.InterpolantFactoryMethodLinear;break;case fv:x=this.InterpolantFactoryMethodSmooth;break}if(x===void 0){const y="unsupported interpolation for "+this.ValueTypeName+" keyframe track named "+this.name;if(this.createInterpolant===void 0)if(a!==this.DefaultInterpolation)this.setInterpolation(this.DefaultInterpolation);else throw new Error(y);return wn("KeyframeTrack:",y),this}return this.createInterpolant=x,this}getInterpolation(){switch(this.createInterpolant){case this.InterpolantFactoryMethodDiscrete:return S0;case this.InterpolantFactoryMethodLinear:return Tm;case this.InterpolantFactoryMethodSmooth:return fv}}getValueSize(){return this.values.length/this.times.length}shift(a){if(a!==0){const x=this.times;for(let y=0,E=x.length;y!==E;++y)x[y]+=a}return this}scale(a){if(a!==1){const x=this.times;for(let y=0,E=x.length;y!==E;++y)x[y]*=a}return this}trim(a,x){const y=this.times,E=y.length;let z=0,ee=E-1;for(;z!==E&&y[z]<a;)++z;for(;ee!==-1&&y[ee]>x;)--ee;if(++ee,z!==0||ee!==E){z>=ee&&(ee=Math.max(ee,1),z=ee-1);const te=this.getValueSize();this.times=y.slice(z,ee),this.values=this.values.slice(z*te,ee*te)}return this}validate(){let a=!0;const x=this.getValueSize();x-Math.floor(x)!==0&&(cr("KeyframeTrack: Invalid value size in track.",this),a=!1);const y=this.times,E=this.values,z=y.length;z===0&&(cr("KeyframeTrack: Track is empty.",this),a=!1);let ee=null;for(let te=0;te!==z;te++){const ne=y[te];if(typeof ne=="number"&&isNaN(ne)){cr("KeyframeTrack: Time is not a valid number.",this,te,ne),a=!1;break}if(ee!==null&&ee>ne){cr("KeyframeTrack: Out of order keys.",this,te,ne,ee),a=!1;break}ee=ne}if(E!==void 0&&F8(E))for(let te=0,ne=E.length;te!==ne;++te){const ie=E[te];if(isNaN(ie)){cr("KeyframeTrack: Value is not a valid number.",this,te,ie),a=!1;break}}return a}optimize(){const a=this.times.slice(),x=this.values.slice(),y=this.getValueSize(),E=this.getInterpolation()===fv,z=a.length-1;let ee=1;for(let te=1;te<z;++te){let ne=!1;const ie=a[te],ae=a[te+1];if(ie!==ae&&(te!==1||ie!==a[0]))if(E)ne=!0;else{const oe=te*y,le=oe-y,ue=oe+y;for(let he=0;he!==y;++he){const xe=x[oe+he];if(xe!==x[le+he]||xe!==x[ue+he]){ne=!0;break}}}if(ne){if(te!==ee){a[ee]=a[te];const oe=te*y,le=ee*y;for(let ue=0;ue!==y;++ue)x[le+ue]=x[oe+ue]}++ee}}if(z>0){a[ee]=a[z];for(let te=z*y,ne=ee*y,ie=0;ie!==y;++ie)x[ne+ie]=x[te+ie];++ee}return ee!==a.length?(this.times=a.slice(0,ee),this.values=x.slice(0,ee*y)):(this.times=a,this.values=x),this}clone(){const a=this.times.slice(),x=this.values.slice(),y=this.constructor,E=new y(this.name,a,x);return E.createInterpolant=this.createInterpolant,E}}Zp.prototype.ValueTypeName="",Zp.prototype.TimeBufferType=Float32Array,Zp.prototype.ValueBufferType=Float32Array,Zp.prototype.DefaultInterpolation=Tm;class JA extends Zp{constructor(a,x,y){super(a,x,y)}}JA.prototype.ValueTypeName="bool",JA.prototype.ValueBufferType=Array,JA.prototype.DefaultInterpolation=S0,JA.prototype.InterpolantFactoryMethodLinear=void 0,JA.prototype.InterpolantFactoryMethodSmooth=void 0;class O8 extends Zp{constructor(a,x,y,E){super(a,x,y,E)}}O8.prototype.ValueTypeName="color";class sE extends Zp{constructor(a,x,y,E){super(a,x,y,E)}}sE.prototype.ValueTypeName="number";class RO extends iE{constructor(a,x,y,E){super(a,x,y,E)}interpolate_(a,x,y,E){const z=this.resultBuffer,ee=this.sampleValues,te=this.valueSize,ne=(y-x)/(E-x);let ie=a*te;for(let ae=ie+te;ie!==ae;ie+=4)pc.slerpFlat(z,0,ee,ie-te,ee,ie,ne);return z}}class aE extends Zp{constructor(a,x,y,E){super(a,x,y,E)}InterpolantFactoryMethodLinear(a){return new RO(this.times,this.values,this.getValueSize(),a)}}aE.prototype.ValueTypeName="quaternion",aE.prototype.InterpolantFactoryMethodSmooth=void 0;class KA extends Zp{constructor(a,x,y){super(a,x,y)}}KA.prototype.ValueTypeName="string",KA.prototype.ValueBufferType=Array,KA.prototype.DefaultInterpolation=S0,KA.prototype.InterpolantFactoryMethodLinear=void 0,KA.prototype.InterpolantFactoryMethodSmooth=void 0;class oE extends Zp{constructor(a,x,y,E){super(a,x,y,E)}}oE.prototype.ValueTypeName="vector";class lE{constructor(a="",x=-1,y=[],E=Bg){this.name=a,this.tracks=y,this.duration=x,this.blendMode=E,this.uuid=Zu(),this.userData={},this.duration<0&&this.resetDuration()}static parse(a){const x=[],y=a.tracks,E=1/(a.fps||1);for(let ee=0,te=y.length;ee!==te;++ee)x.push(zO(y[ee]).scale(E));const z=new this(a.name,a.duration,x,a.blendMode);return z.uuid=a.uuid,z.userData=JSON.parse(a.userData||"{}"),z}static toJSON(a){const x=[],y=a.tracks,E={name:a.name,duration:a.duration,tracks:x,uuid:a.uuid,blendMode:a.blendMode,userData:JSON.stringify(a.userData)};for(let z=0,ee=y.length;z!==ee;++z)x.push(Zp.toJSON(y[z]));return E}static CreateFromMorphTargetSequence(a,x,y,E){const z=x.length,ee=[];for(let te=0;te<z;te++){let ne=[],ie=[];ne.push((te+z-1)%z,te,(te+1)%z),ie.push(0,1,0);const ae=L8(ne);ne=Z3(ne,1,ae),ie=Z3(ie,1,ae),!E&&ne[0]===0&&(ne.push(z),ie.push(ie[0])),ee.push(new sE(".morphTargetInfluences["+x[te].name+"]",ne,ie).scale(1/y))}return new this(a,-1,ee)}static findByName(a,x){let y=a;if(!Array.isArray(a)){const E=a;y=E.geometry&&E.geometry.animations||E.animations}for(let E=0;E<y.length;E++)if(y[E].name===x)return y[E];return null}static CreateClipsFromMorphTargetSequences(a,x,y){const E={},z=/^([\w-]*?)([\d]+)$/;for(let te=0,ne=a.length;te<ne;te++){const ie=a[te],ae=ie.name.match(z);if(ae&&ae.length>1){const oe=ae[1];let le=E[oe];le||(E[oe]=le=[]),le.push(ie)}}const ee=[];for(const te in E)ee.push(this.CreateFromMorphTargetSequence(te,E[te],x,y));return ee}static parseAnimation(a,x){if(wn("AnimationClip: parseAnimation() is deprecated and will be removed with r185"),!a)return cr("AnimationClip: No animation in JSONLoader data."),null;const y=function(oe,le,ue,he,xe){if(ue.length!==0){const ve=[],me=[];Y3(ue,ve,me,he),ve.length!==0&&xe.push(new oe(le,ve,me))}},E=[],z=a.name||"default",ee=a.fps||30,te=a.blendMode;let ne=a.length||-1;const ie=a.hierarchy||[];for(let oe=0;oe<ie.length;oe++){const le=ie[oe].keys;if(!(!le||le.length===0))if(le[0].morphTargets){const ue={};let he;for(he=0;he<le.length;he++)if(le[he].morphTargets)for(let xe=0;xe<le[he].morphTargets.length;xe++)ue[le[he].morphTargets[xe]]=-1;for(const xe in ue){const ve=[],me=[];for(let Pe=0;Pe!==le[he].morphTargets.length;++Pe){const we=le[he];ve.push(we.time),me.push(we.morphTarget===xe?1:0)}E.push(new sE(".morphTargetInfluence["+xe+"]",ve,me))}ne=ue.length*ee}else{const ue=".bones["+x[oe].name+"]";y(oE,ue+".position",le,"pos",E),y(aE,ue+".quaternion",le,"rot",E),y(oE,ue+".scale",le,"scl",E)}}return E.length===0?null:new this(z,ne,E,te)}resetDuration(){const a=this.tracks;let x=0;for(let y=0,E=a.length;y!==E;++y){const z=this.tracks[y];x=Math.max(x,z.times[z.times.length-1])}return this.duration=x,this}trim(){for(let a=0;a<this.tracks.length;a++)this.tracks[a].trim(0,this.duration);return this}validate(){let a=!0;for(let x=0;x<this.tracks.length;x++)a=a&&this.tracks[x].validate();return a}optimize(){for(let a=0;a<this.tracks.length;a++)this.tracks[a].optimize();return this}clone(){const a=[];for(let y=0;y<this.tracks.length;y++)a.push(this.tracks[y].clone());const x=new this.constructor(this.name,this.duration,a,this.blendMode);return x.userData=JSON.parse(JSON.stringify(this.userData)),x}toJSON(){return this.constructor.toJSON(this)}}function OO(b){switch(b.toLowerCase()){case"scalar":case"double":case"float":case"number":case"integer":return sE;case"vector":case"vector2":case"vector3":case"vector4":return oE;case"color":return O8;case"quaternion":return aE;case"bool":case"boolean":return JA;case"string":return KA}throw new Error("THREE.KeyframeTrack: Unsupported typeName: "+b)}function zO(b){if(b.type===void 0)throw new Error("THREE.KeyframeTrack: track type undefined, can not parse");const a=OO(b.type);if(b.times===void 0){const x=[],y=[];Y3(b.keys,x,y,"value"),b.times=x,b.values=y}return 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0&&(ee.generateMipmaps=ie.generateMipmaps),ee.needsUpdate=!0,x&&x(ee,ie)},y,E),ee}}class UO extends J3{constructor(a){super(a)}load(a,x,y,E){const z=new mc,ee=new uE(this.manager);return ee.setCrossOrigin(this.crossOrigin),ee.setPath(this.path),ee.load(a,function(te){z.image=te,z.needsUpdate=!0,x!==void 0&&x(z)},y,E),z}}class Mv extends zu{constructor(a,x=1){super(),this.isLight=!0,this.type="Light",this.color=new Ki(a),this.intensity=x}dispose(){}copy(a,x){return super.copy(a,x),this.color.copy(a.color),this.intensity=a.intensity,this}toJSON(a){const x=super.toJSON(a);return x.object.color=this.color.getHex(),x.object.intensity=this.intensity,this.groundColor!==void 0&&(x.object.groundColor=this.groundColor.getHex()),this.distance!==void 0&&(x.object.distance=this.distance),this.angle!==void 0&&(x.object.angle=this.angle),this.decay!==void 0&&(x.object.decay=this.decay),this.penumbra!==void 0&&(x.object.penumbra=this.penumbra),this.shadow!==void 0&&(x.object.shadow=this.shadow.toJSON()),this.target!==void 0&&(x.object.target=this.target.uuid),x}}class k8 extends Mv{constructor(a,x,y){super(a,y),this.isHemisphereLight=!0,this.type="HemisphereLight",this.position.copy(zu.DEFAULT_UP),this.updateMatrix(),this.groundColor=new Ki(x)}copy(a,x){return super.copy(a,x),this.groundColor.copy(a.groundColor),this}}const K3=new Fs,H8=new ft,U8=new ft;class q3{constructor(a){this.camera=a,this.intensity=1,this.bias=0,this.normalBias=0,this.radius=1,this.blurSamples=8,this.mapSize=new ar(512,512),this.mapType=yl,this.map=null,this.mapPass=null,this.matrix=new Fs,this.autoUpdate=!0,this.needsUpdate=!1,this._frustum=new XA,this._frameExtents=new ar(1,1),this._viewportCount=1,this._viewports=[new la(0,0,1,1)]}getViewportCount(){return this._viewportCount}getFrustum(){return this._frustum}updateMatrices(a){const x=this.camera,y=this.matrix;H8.setFromMatrixPosition(a.matrixWorld),x.position.copy(H8),U8.setFromMatrixPosition(a.target.matrixWorld),x.lookAt(U8),x.updateMatrixWorld(),K3.multiplyMatrices(x.projectionMatrix,x.matrixWorldInverse),this._frustum.setFromProjectionMatrix(K3,x.coordinateSystem,x.reversedDepth),x.reversedDepth?y.set(.5,0,0,.5,0,.5,0,.5,0,0,1,0,0,0,0,1):y.set(.5,0,0,.5,0,.5,0,.5,0,0,.5,.5,0,0,0,1),y.multiply(K3)}getViewport(a){return this._viewports[a]}getFrameExtents(){return this._frameExtents}dispose(){this.map&&this.map.dispose(),this.mapPass&&this.mapPass.dispose()}copy(a){return this.camera=a.camera.clone(),this.intensity=a.intensity,this.bias=a.bias,this.radius=a.radius,this.autoUpdate=a.autoUpdate,this.needsUpdate=a.needsUpdate,this.normalBias=a.normalBias,this.blurSamples=a.blurSamples,this.mapSize.copy(a.mapSize),this}clone(){return new this.constructor().copy(this)}toJSON(){const a={};return this.intensity!==1&&(a.intensity=this.intensity),this.bias!==0&&(a.bias=this.bias),this.normalBias!==0&&(a.normalBias=this.normalBias),this.radius!==1&&(a.radius=this.radius),(this.mapSize.x!==512||this.mapSize.y!==512)&&(a.mapSize=this.mapSize.toArray()),a.camera=this.camera.toJSON(!1).object,delete a.camera.matrix,a}}class jO extends q3{constructor(){super(new gc(50,1,.5,500)),this.isSpotLightShadow=!0,this.focus=1,this.aspect=1}updateMatrices(a){const x=this.camera,y=gu*2*a.angle*this.focus,E=this.mapSize.width/this.mapSize.height*this.aspect,z=a.distance||x.far;(y!==x.fov||E!==x.aspect||z!==x.far)&&(x.fov=y,x.aspect=E,x.far=z,x.updateProjectionMatrix()),super.updateMatrices(a)}copy(a){return super.copy(a),this.focus=a.focus,this}}class cE extends Mv{constructor(a,x,y=0,E=Math.PI/3,z=0,ee=2){super(a,x),this.isSpotLight=!0,this.type="SpotLight",this.position.copy(zu.DEFAULT_UP),this.updateMatrix(),this.target=new zu,this.distance=y,this.angle=E,this.penumbra=z,this.decay=ee,this.map=null,this.shadow=new jO}get power(){return this.intensity*Math.PI}set power(a){this.intensity=a/Math.PI}dispose(){this.shadow.dispose()}copy(a,x){return super.copy(a,x),this.distance=a.distance,this.angle=a.angle,this.penumbra=a.penumbra,this.decay=a.decay,this.target=a.target.clone(),this.shadow=a.shadow.clone(),this}}const j8=new Fs,vy=new ft,_3=new ft;class VO extends q3{constructor(){super(new gc(90,1,.5,500)),this.isPointLightShadow=!0,this._frameExtents=new ar(4,2),this._viewportCount=6,this._viewports=[new la(2,1,1,1),new la(0,1,1,1),new la(3,1,1,1),new la(1,1,1,1),new la(3,0,1,1),new la(1,0,1,1)],this._cubeDirections=[new ft(1,0,0),new ft(-1,0,0),new ft(0,0,1),new ft(0,0,-1),new ft(0,1,0),new ft(0,-1,0)],this._cubeUps=[new ft(0,1,0),new ft(0,1,0),new ft(0,1,0),new ft(0,1,0),new ft(0,0,1),new ft(0,0,-1)]}updateMatrices(a,x=0){const y=this.camera,E=this.matrix,z=a.distance||y.far;z!==y.far&&(y.far=z,y.updateProjectionMatrix()),vy.setFromMatrixPosition(a.matrixWorld),y.position.copy(vy),_3.copy(y.position),_3.add(this._cubeDirections[x]),y.up.copy(this._cubeUps[x]),y.lookAt(_3),y.updateMatrixWorld(),E.makeTranslation(-vy.x,-vy.y,-vy.z),j8.multiplyMatrices(y.projectionMatrix,y.matrixWorldInverse),this._frustum.setFromProjectionMatrix(j8,y.coordinateSystem,y.reversedDepth)}}class V8 extends Mv{constructor(a,x,y=0,E=2){super(a,x),this.isPointLight=!0,this.type="PointLight",this.distance=y,this.decay=E,this.shadow=new VO}get power(){return this.intensity*4*Math.PI}set power(a){this.intensity=a/(4*Math.PI)}dispose(){this.shadow.dispose()}copy(a,x){return super.copy(a,x),this.distance=a.distance,this.decay=a.decay,this.shadow=a.shadow.clone(),this}}class _A extends D1{constructor(a=-1,x=1,y=1,E=-1,z=.1,ee=2e3){super(),this.isOrthographicCamera=!0,this.type="OrthographicCamera",this.zoom=1,this.view=null,this.left=a,this.right=x,this.top=y,this.bottom=E,this.near=z,this.far=ee,this.updateProjectionMatrix()}copy(a,x){return super.copy(a,x),this.left=a.left,this.right=a.right,this.top=a.top,this.bottom=a.bottom,this.near=a.near,this.far=a.far,this.zoom=a.zoom,this.view=a.view===null?null:Object.assign({},a.view),this}setViewOffset(a,x,y,E,z,ee){this.view===null&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=a,this.view.fullHeight=x,this.view.offsetX=y,this.view.offsetY=E,this.view.width=z,this.view.height=ee,this.updateProjectionMatrix()}clearViewOffset(){this.view!==null&&(this.view.enabled=!1),this.updateProjectionMatrix()}updateProjectionMatrix(){const a=(this.right-this.left)/(2*this.zoom),x=(this.top-this.bottom)/(2*this.zoom),y=(this.right+this.left)/2,E=(this.top+this.bottom)/2;let z=y-a,ee=y+a,te=E+x,ne=E-x;if(this.view!==null&&this.view.enabled){const ie=(this.right-this.left)/this.view.fullWidth/this.zoom,ae=(this.top-this.bottom)/this.view.fullHeight/this.zoom;z+=ie*this.view.offsetX,ee=z+ie*this.view.width,te-=ae*this.view.offsetY,ne=te-ae*this.view.height}this.projectionMatrix.makeOrthographic(z,ee,te,ne,this.near,this.far,this.coordinateSystem,this.reversedDepth),this.projectionMatrixInverse.copy(this.projectionMatrix).invert()}toJSON(a){const x=super.toJSON(a);return x.object.zoom=this.zoom,x.object.left=this.left,x.object.right=this.right,x.object.top=this.top,x.object.bottom=this.bottom,x.object.near=this.near,x.object.far=this.far,this.view!==null&&(x.object.view=Object.assign({},this.view)),x}}class GO extends q3{constructor(){super(new _A(-5,5,5,-5,.5,500)),this.isDirectionalLightShadow=!0}}class $3 extends Mv{constructor(a,x){super(a,x),this.isDirectionalLight=!0,this.type="DirectionalLight",this.position.copy(zu.DEFAULT_UP),this.updateMatrix(),this.target=new zu,this.shadow=new GO}dispose(){this.shadow.dispose()}copy(a){return super.copy(a),this.target=a.target.clone(),this.shadow=a.shadow.clone(),this}}class e2 extends Mv{constructor(a,x){super(a,x),this.isAmbientLight=!0,this.type="AmbientLight"}}class G8 extends Mv{constructor(a,x,y=10,E=10){super(a,x),this.isRectAreaLight=!0,this.type="RectAreaLight",this.width=y,this.height=E}get power(){return this.intensity*this.width*this.height*Math.PI}set power(a){this.intensity=a/(this.width*this.height*Math.PI)}copy(a){return super.copy(a),this.width=a.width,this.height=a.height,this}toJSON(a){const x=super.toJSON(a);return x.object.width=this.width,x.object.height=this.height,x}}class XO{constructor(){this.isSphericalHarmonics3=!0,this.coefficients=[];for(let a=0;a<9;a++)this.coefficients.push(new ft)}set(a){for(let x=0;x<9;x++)this.coefficients[x].copy(a[x]);return this}zero(){for(let a=0;a<9;a++)this.coefficients[a].set(0,0,0);return this}getAt(a,x){const y=a.x,E=a.y,z=a.z,ee=this.coefficients;return x.copy(ee[0]).multiplyScalar(.282095),x.addScaledVector(ee[1],.488603*E),x.addScaledVector(ee[2],.488603*z),x.addScaledVector(ee[3],.488603*y),x.addScaledVector(ee[4],1.092548*(y*E)),x.addScaledVector(ee[5],1.092548*(E*z)),x.addScaledVector(ee[6],.315392*(3*z*z-1)),x.addScaledVector(ee[7],1.092548*(y*z)),x.addScaledVector(ee[8],.546274*(y*y-E*E)),x}getIrradianceAt(a,x){const y=a.x,E=a.y,z=a.z,ee=this.coefficients;return x.copy(ee[0]).multiplyScalar(.886227),x.addScaledVector(ee[1],2*.511664*E),x.addScaledVector(ee[2],2*.511664*z),x.addScaledVector(ee[3],2*.511664*y),x.addScaledVector(ee[4],2*.429043*y*E),x.addScaledVector(ee[5],2*.429043*E*z),x.addScaledVector(ee[6],.743125*z*z-.247708),x.addScaledVector(ee[7],2*.429043*y*z),x.addScaledVector(ee[8],.429043*(y*y-E*E)),x}add(a){for(let x=0;x<9;x++)this.coefficients[x].add(a.coefficients[x]);return this}addScaledSH(a,x){for(let y=0;y<9;y++)this.coefficients[y].addScaledVector(a.coefficients[y],x);return this}scale(a){for(let x=0;x<9;x++)this.coefficients[x].multiplyScalar(a);return this}lerp(a,x){for(let y=0;y<9;y++)this.coefficients[y].lerp(a.coefficients[y],x);return this}equals(a){for(let x=0;x<9;x++)if(!this.coefficients[x].equals(a.coefficients[x]))return!1;return!0}copy(a){return this.set(a.coefficients)}clone(){return new this.constructor().copy(this)}fromArray(a,x=0){const y=this.coefficients;for(let E=0;E<9;E++)y[E].fromArray(a,x+E*3);return this}toArray(a=[],x=0){const y=this.coefficients;for(let E=0;E<9;E++)y[E].toArray(a,x+E*3);return a}static getBasisAt(a,x){const y=a.x,E=a.y,z=a.z;x[0]=.282095,x[1]=.488603*E,x[2]=.488603*z,x[3]=.488603*y,x[4]=1.092548*y*E,x[5]=1.092548*E*z,x[6]=.315392*(3*z*z-1),x[7]=1.092548*y*z,x[8]=.546274*(y*y-E*E)}}class X8 extends Mv{constructor(a=new XO,x=1){super(void 0,x),this.isLightProbe=!0,this.sh=a}copy(a){return super.copy(a),this.sh.copy(a.sh),this}fromJSON(a){return this.intensity=a.intensity,this.sh.fromArray(a.sh),this}toJSON(a){const x=super.toJSON(a);return x.object.sh=this.sh.toArray(),x}}class t2 extends null{constructor(a){super(a),this.textures={}}load(a,x,y,E){const z=this,ee=new O0(z.manager);ee.setPath(z.path),ee.setRequestHeader(z.requestHeader),ee.setWithCredentials(z.withCredentials),ee.load(a,function(te){try{x(z.parse(JSON.parse(te)))}catch(ne){E?E(ne):cr(ne),z.manager.itemError(a)}},y,E)}parse(a){const x=this.textures;function y(z){return x[z]===void 0&&wn("MaterialLoader: Undefined texture",z),x[z]}const E=this.createMaterialFromType(a.type);if(a.uuid!==void 0&&(E.uuid=a.uuid),a.name!==void 0&&(E.name=a.name),a.color!==void 0&&E.color!==void 0&&E.color.setHex(a.color),a.roughness!==void 0&&(E.roughness=a.roughness),a.metalness!==void 0&&(E.metalness=a.metalness),a.sheen!==void 0&&(E.sheen=a.sheen),a.sheenColor!==void 0&&(E.sheenColor=new Ki().setHex(a.sheenColor)),a.sheenRoughness!==void 0&&(E.sheenRoughness=a.sheenRoughness),a.emissive!==void 0&&E.emissive!==void 0&&E.emissive.setHex(a.emissive),a.specular!==void 0&&E.specular!==void 0&&E.specular.setHex(a.specular),a.specularIntensity!==void 0&&(E.specularIntensity=a.specularIntensity),a.specularColor!==void 0&&E.specularColor!==void 0&&E.specularColor.setHex(a.specularColor),a.shininess!==void 0&&(E.shininess=a.shininess),a.clearcoat!==void 0&&(E.clearcoat=a.clearcoat),a.clearcoatRoughness!==void 0&&(E.clearcoatRoughness=a.clearcoatRoughness),a.dispersion!==void 0&&(E.dispersion=a.dispersion),a.iridescence!==void 0&&(E.iridescence=a.iridescence),a.iridescenceIOR!==void 0&&(E.iridescenceIOR=a.iridescenceIOR),a.iridescenceThicknessRange!==void 0&&(E.iridescenceThicknessRange=a.iridescenceThicknessRange),a.transmission!==void 0&&(E.transmission=a.transmission),a.thickness!==void 0&&(E.thickness=a.thickness),a.attenuationDistance!==void 0&&(E.attenuationDistance=a.attenuationDistance),a.attenuationColor!==void 0&&E.attenuationColor!==void 0&&E.attenuationColor.setHex(a.attenuationColor),a.anisotropy!==void 0&&(E.anisotropy=a.anisotropy),a.anisotropyRotation!==void 0&&(E.anisotropyRotation=a.anisotropyRotation),a.fog!==void 0&&(E.fog=a.fog),a.flatShading!==void 0&&(E.flatShading=a.flatShading),a.blending!==void 0&&(E.blending=a.blending),a.combine!==void 0&&(E.combine=a.combine),a.side!==void 0&&(E.side=a.side),a.shadowSide!==void 0&&(E.shadowSide=a.shadowSide),a.opacity!==void 0&&(E.opacity=a.opacity),a.transparent!==void 0&&(E.transparent=a.transparent),a.alphaTest!==void 0&&(E.alphaTest=a.alphaTest),a.alphaHash!==void 0&&(E.alphaHash=a.alphaHash),a.depthFunc!==void 0&&(E.depthFunc=a.depthFunc),a.depthTest!==void 0&&(E.depthTest=a.depthTest),a.depthWrite!==void 0&&(E.depthWrite=a.depthWrite),a.colorWrite!==void 0&&(E.colorWrite=a.colorWrite),a.blendSrc!==void 0&&(E.blendSrc=a.blendSrc),a.blendDst!==void 0&&(E.blendDst=a.blendDst),a.blendEquation!==void 0&&(E.blendEquation=a.blendEquation),a.blendSrcAlpha!==void 0&&(E.blendSrcAlpha=a.blendSrcAlpha),a.blendDstAlpha!==void 0&&(E.blendDstAlpha=a.blendDstAlpha),a.blendEquationAlpha!==void 0&&(E.blendEquationAlpha=a.blendEquationAlpha),a.blendColor!==void 0&&E.blendColor!==void 0&&E.blendColor.setHex(a.blendColor),a.blendAlpha!==void 0&&(E.blendAlpha=a.blendAlpha),a.stencilWriteMask!==void 0&&(E.stencilWriteMask=a.stencilWriteMask),a.stencilFunc!==void 0&&(E.stencilFunc=a.stencilFunc),a.stencilRef!==void 0&&(E.stencilRef=a.stencilRef),a.stencilFuncMask!==void 0&&(E.stencilFuncMask=a.stencilFuncMask),a.stencilFail!==void 0&&(E.stencilFail=a.stencilFail),a.stencilZFail!==void 0&&(E.stencilZFail=a.stencilZFail),a.stencilZPass!==void 0&&(E.stencilZPass=a.stencilZPass),a.stencilWrite!==void 0&&(E.stencilWrite=a.stencilWrite),a.wireframe!==void 0&&(E.wireframe=a.wireframe),a.wireframeLinewidth!==void 0&&(E.wireframeLinewidth=a.wireframeLinewidth),a.wireframeLinecap!==void 0&&(E.wireframeLinecap=a.wireframeLinecap),a.wireframeLinejoin!==void 0&&(E.wireframeLinejoin=a.wireframeLinejoin),a.rotation!==void 0&&(E.rotation=a.rotation),a.linewidth!==void 0&&(E.linewidth=a.linewidth),a.dashSize!==void 0&&(E.dashSize=a.dashSize),a.gapSize!==void 0&&(E.gapSize=a.gapSize),a.scale!==void 0&&(E.scale=a.scale),a.polygonOffset!==void 0&&(E.polygonOffset=a.polygonOffset),a.polygonOffsetFactor!==void 0&&(E.polygonOffsetFactor=a.polygonOffsetFactor),a.polygonOffsetUnits!==void 0&&(E.polygonOffsetUnits=a.polygonOffsetUnits),a.dithering!==void 0&&(E.dithering=a.dithering),a.alphaToCoverage!==void 0&&(E.alphaToCoverage=a.alphaToCoverage),a.premultipliedAlpha!==void 0&&(E.premultipliedAlpha=a.premultipliedAlpha),a.forceSinglePass!==void 0&&(E.forceSinglePass=a.forceSinglePass),a.visible!==void 0&&(E.visible=a.visible),a.toneMapped!==void 0&&(E.toneMapped=a.toneMapped),a.userData!==void 0&&(E.userData=a.userData),a.vertexColors!==void 0&&(typeof a.vertexColors=="number"?E.vertexColors=a.vertexColors>0:E.vertexColors=a.vertexColors),a.uniforms!==void 0)for(const z in a.uniforms){const ee=a.uniforms[z];switch(E.uniforms[z]={},ee.type){case"t":E.uniforms[z].value=y(ee.value);break;case"c":E.uniforms[z].value=new Ki().setHex(ee.value);break;case"v2":E.uniforms[z].value=new ar().fromArray(ee.value);break;case"v3":E.uniforms[z].value=new ft().fromArray(ee.value);break;case"v4":E.uniforms[z].value=new la().fromArray(ee.value);break;case"m3":E.uniforms[z].value=new ro().fromArray(ee.value);break;case"m4":E.uniforms[z].value=new Fs().fromArray(ee.value);break;default:E.uniforms[z].value=ee.value}}if(a.defines!==void 0&&(E.defines=a.defines),a.vertexShader!==void 0&&(E.vertexShader=a.vertexShader),a.fragmentShader!==void 0&&(E.fragmentShader=a.fragmentShader),a.glslVersion!==void 0&&(E.glslVersion=a.glslVersion),a.extensions!==void 0)for(const z in a.extensions)E.extensions[z]=a.extensions[z];if(a.lights!==void 0&&(E.lights=a.lights),a.clipping!==void 0&&(E.clipping=a.clipping),a.size!==void 0&&(E.size=a.size),a.sizeAttenuation!==void 0&&(E.sizeAttenuation=a.sizeAttenuation),a.map!==void 0&&(E.map=y(a.map)),a.matcap!==void 0&&(E.matcap=y(a.matcap)),a.alphaMap!==void 0&&(E.alphaMap=y(a.alphaMap)),a.bumpMap!==void 0&&(E.bumpMap=y(a.bumpMap)),a.bumpScale!==void 0&&(E.bumpScale=a.bumpScale),a.normalMap!==void 0&&(E.normalMap=y(a.normalMap)),a.normalMapType!==void 0&&(E.normalMapType=a.normalMapType),a.normalScale!==void 0){let z=a.normalScale;Array.isArray(z)===!1&&(z=[z,z]),E.normalScale=new ar().fromArray(z)}return a.displacementMap!==void 0&&(E.displacementMap=y(a.displacementMap)),a.displacementScale!==void 0&&(E.displacementScale=a.displacementScale),a.displacementBias!==void 0&&(E.displacementBias=a.displacementBias),a.roughnessMap!==void 0&&(E.roughnessMap=y(a.roughnessMap)),a.metalnessMap!==void 0&&(E.metalnessMap=y(a.metalnessMap)),a.emissiveMap!==void 0&&(E.emissiveMap=y(a.emissiveMap)),a.emissiveIntensity!==void 0&&(E.emissiveIntensity=a.emissiveIntensity),a.specularMap!==void 0&&(E.specularMap=y(a.specularMap)),a.specularIntensityMap!==void 0&&(E.specularIntensityMap=y(a.specularIntensityMap)),a.specularColorMap!==void 0&&(E.specularColorMap=y(a.specularColorMap)),a.envMap!==void 0&&(E.envMap=y(a.envMap)),a.envMapRotation!==void 0&&E.envMapRotation.fromArray(a.envMapRotation),a.envMapIntensity!==void 0&&(E.envMapIntensity=a.envMapIntensity),a.reflectivity!==void 0&&(E.reflectivity=a.reflectivity),a.refractionRatio!==void 0&&(E.refractionRatio=a.refractionRatio),a.lightMap!==void 0&&(E.lightMap=y(a.lightMap)),a.lightMapIntensity!==void 0&&(E.lightMapIntensity=a.lightMapIntensity),a.aoMap!==void 0&&(E.aoMap=y(a.aoMap)),a.aoMapIntensity!==void 0&&(E.aoMapIntensity=a.aoMapIntensity),a.gradientMap!==void 0&&(E.gradientMap=y(a.gradientMap)),a.clearcoatMap!==void 0&&(E.clearcoatMap=y(a.clearcoatMap)),a.clearcoatRoughnessMap!==void 0&&(E.clearcoatRoughnessMap=y(a.clearcoatRoughnessMap)),a.clearcoatNormalMap!==void 0&&(E.clearcoatNormalMap=y(a.clearcoatNormalMap)),a.clearcoatNormalScale!==void 0&&(E.clearcoatNormalScale=new ar().fromArray(a.clearcoatNormalScale)),a.iridescenceMap!==void 0&&(E.iridescenceMap=y(a.iridescenceMap)),a.iridescenceThicknessMap!==void 0&&(E.iridescenceThicknessMap=y(a.iridescenceThicknessMap)),a.transmissionMap!==void 0&&(E.transmissionMap=y(a.transmissionMap)),a.thicknessMap!==void 0&&(E.thicknessMap=y(a.thicknessMap)),a.anisotropyMap!==void 0&&(E.anisotropyMap=y(a.anisotropyMap)),a.sheenColorMap!==void 0&&(E.sheenColorMap=y(a.sheenColorMap)),a.sheenRoughnessMap!==void 0&&(E.sheenRoughnessMap=y(a.sheenRoughnessMap)),E}setTextures(a){return this.textures=a,this}createMaterialFromType(a){return t2.createMaterialFromType(a)}static createMaterialFromType(a){const x={ShadowMaterial:S8,SpriteMaterial:c3,RawShaderMaterial:DO,ShaderMaterial:qh,PointsMaterial:x3,MeshPhysicalMaterial:B8,MeshStandardMaterial:G3,MeshPhongMaterial:X3,MeshToonMaterial:M8,MeshNormalMaterial:T8,MeshLambertMaterial:W3,MeshDepthMaterial:D8,MeshDistanceMaterial:I8,MeshBasicMaterial:od,MeshMatcapMaterial:N8,LineDashedMaterial:Q3,LineBasicMaterial:Jd,Material:Pd};return new x[a]}}class W8{static extractUrlBase(a){const x=a.lastIndexOf("/");return x===-1?"./":a.slice(0,x+1)}static resolveURL(a,x){return typeof a!="string"||a===""?"":(/^https?:\/\//i.test(x)&&/^\//.test(a)&&(x=x.replace(/(^https?:\/\/[^\/]+).*/i,"$1")),/^(https?:)?\/\//i.test(a)||/^data:.*,.*$/i.test(a)||/^blob:.*$/i.test(a)?a:x+a)}}class WO extends null{constructor(){super(),this.isInstancedBufferGeometry=!0,this.type="InstancedBufferGeometry",this.instanceCount=1/0}copy(a){return super.copy(a),this.instanceCount=a.instanceCount,this}toJSON(){const a=super.toJSON();return a.instanceCount=this.instanceCount,a.isInstancedBufferGeometry=!0,a}}class QO extends null{constructor(a){super(a)}load(a,x,y,E){const z=this,ee=new O0(z.manager);ee.setPath(z.path),ee.setRequestHeader(z.requestHeader),ee.setWithCredentials(z.withCredentials),ee.load(a,function(te){try{x(z.parse(JSON.parse(te)))}catch(ne){E?E(ne):cr(ne),z.manager.itemError(a)}},y,E)}parse(a){const x={},y={};function E(ue,he){if(x[he]!==void 0)return x[he];const ve=ue.interleavedBuffers[he],me=z(ue,ve.buffer),Pe=ri(ve.type,me),we=new N1(Pe,ve.stride);return we.uuid=ve.uuid,x[he]=we,we}function z(ue,he){if(y[he]!==void 0)return y[he];const ve=ue.arrayBuffers[he],me=new Uint32Array(ve).buffer;return y[he]=me,me}const ee=a.isInstancedBufferGeometry?new WO:new io,te=a.data.index;if(te!==void 0){const ue=ri(te.type,te.array);ee.setIndex(new ql(ue,1))}const ne=a.data.attributes;for(const ue in ne){const he=ne[ue];let xe;if(he.isInterleavedBufferAttribute){const ve=E(a.data,he.data);xe=new bv(ve,he.itemSize,he.offset,he.normalized)}else{const ve=ri(he.type,he.array),me=he.isInstancedBufferAttribute?Xp:ql;xe=new me(ve,he.itemSize,he.normalized)}he.name!==void 0&&(xe.name=he.name),he.usage!==void 0&&xe.setUsage(he.usage),ee.setAttribute(ue,xe)}const ie=a.data.morphAttributes;if(ie)for(const ue in ie){const he=ie[ue],xe=[];for(let ve=0,me=he.length;ve<me;ve++){const Pe=he[ve];let we;if(Pe.isInterleavedBufferAttribute){const Me=E(a.data,Pe.data);we=new bv(Me,Pe.itemSize,Pe.offset,Pe.normalized)}else{const Me=ri(Pe.type,Pe.array);we=new ql(Me,Pe.itemSize,Pe.normalized)}Pe.name!==void 0&&(we.name=Pe.name),xe.push(we)}ee.morphAttributes[ue]=xe}a.data.morphTargetsRelative&&(ee.morphTargetsRelative=!0);const oe=a.data.groups||a.data.drawcalls||a.data.offsets;if(oe!==void 0)for(let ue=0,he=oe.length;ue!==he;++ue){const xe=oe[ue];ee.addGroup(xe.start,xe.count,xe.materialIndex)}const le=a.data.boundingSphere;return le!==void 0&&(ee.boundingSphere=new Cd().fromJSON(le)),a.name&&(ee.name=a.name),a.userData&&(ee.userData=a.userData),ee}}class Gce extends null{constructor(a){super(a)}load(a,x,y,E){const z=this,ee=this.path===""?W8.extractUrlBase(a):this.path;this.resourcePath=this.resourcePath||ee;const te=new O0(this.manager);te.setPath(this.path),te.setRequestHeader(this.requestHeader),te.setWithCredentials(this.withCredentials),te.load(a,function(ne){let ie=null;try{ie=JSON.parse(ne)}catch(oe){E!==void 0&&E(oe),oe("ObjectLoader: Can't parse "+a+".",oe.message);return}const ae=ie.metadata;if(ae===void 0||ae.type===void 0||ae.type.toLowerCase()==="geometry"){E!==void 0&&E(new Error("THREE.ObjectLoader: Can't load "+a)),cr("ObjectLoader: Can't load "+a);return}z.parse(ie,x)},y,E)}loadAsync(a,x){return ca(this,null,function*(){const y=this,E=this.path===""?W8.extractUrlBase(a):this.path;this.resourcePath=this.resourcePath||E;const z=new O0(this.manager);z.setPath(this.path),z.setRequestHeader(this.requestHeader),z.setWithCredentials(this.withCredentials);const ee=yield z.loadAsync(a,x),te=JSON.parse(ee),ne=te.metadata;if(ne===void 0||ne.type===void 0||ne.type.toLowerCase()==="geometry")throw new Error("THREE.ObjectLoader: Can't load "+a);return yield y.parseAsync(te)})}parse(a,x){const y=this.parseAnimations(a.animations),E=this.parseShapes(a.shapes),z=this.parseGeometries(a.geometries,E),ee=this.parseImages(a.images,function(){x!==void 0&&x(ie)}),te=this.parseTextures(a.textures,ee),ne=this.parseMaterials(a.materials,te),ie=this.parseObject(a.object,z,ne,te,y),ae=this.parseSkeletons(a.skeletons,ie);if(this.bindSkeletons(ie,ae),this.bindLightTargets(ie),x!==void 0){let oe=!1;for(const le in ee)if(ee[le].data instanceof HTMLImageElement){oe=!0;break}oe===!1&&x(ie)}return ie}parseAsync(a){return ca(this,null,function*(){const x=this.parseAnimations(a.animations),y=this.parseShapes(a.shapes),E=this.parseGeometries(a.geometries,y),z=yield this.parseImagesAsync(a.images),ee=this.parseTextures(a.textures,z),te=this.parseMaterials(a.materials,ee),ne=this.parseObject(a.object,E,te,ee,x),ie=this.parseSkeletons(a.skeletons,ne);return this.bindSkeletons(ne,ie),this.bindLightTargets(ne),ne})}parseShapes(a){const x={};if(a!==void 0)for(let y=0,E=a.length;y<E;y++){const z=new QA().fromJSON(a[y]);x[z.uuid]=z}return x}parseSkeletons(a,x){const y={},E={};if(x.traverse(function(z){z.isBone&&(E[z.uuid]=z)}),a!==void 0)for(let z=0,ee=a.length;z<ee;z++){const te=new p3().fromJSON(a[z],E);y[te.uuid]=te}return y}parseGeometries(a,x){const y={};if(a!==void 0){const E=new QO;for(let z=0,ee=a.length;z<ee;z++){let te;const ne=a[z];switch(ne.type){case"BufferGeometry":case"InstancedBufferGeometry":te=E.parse(ne);break;default:ne.type in P8?te=P8[ne.type].fromJSON(ne,x):wn(`ObjectLoader: Unsupported geometry type "${ne.type}"`)}te.uuid=ne.uuid,ne.name!==void 0&&(te.name=ne.name),ne.userData!==void 0&&(te.userData=ne.userData),y[ne.uuid]=te}}return y}parseMaterials(a,x){const y={},E={};if(a!==void 0){const z=new t2;z.setTextures(x);for(let ee=0,te=a.length;ee<te;ee++){const ne=a[ee];y[ne.uuid]===void 0&&(y[ne.uuid]=z.parse(ne)),E[ne.uuid]=y[ne.uuid]}}return E}parseAnimations(a){const x={};if(a!==void 0)for(let y=0;y<a.length;y++){const E=a[y],z=lE.parse(E);x[z.uuid]=z}return x}parseImages(a,x){const y=this,E={};let z;function ee(ne){return y.manager.itemStart(ne),z.load(ne,function(){y.manager.itemEnd(ne)},void 0,function(){y.manager.itemError(ne),y.manager.itemEnd(ne)})}function te(ne){if(typeof ne=="string"){const ie=ne,ae=/^(\/\/)|([a-z]+:(\/\/)?)/i.test(ie)?ie:y.resourcePath+ie;return ee(ae)}else return ne.data?{data:ri(ne.type,ne.data),width:ne.width,height:ne.height}:null}if(a!==void 0&&a.length>0){const ne=new z8(x);z=new uE(ne),z.setCrossOrigin(this.crossOrigin);for(let ie=0,ae=a.length;ie<ae;ie++){const oe=a[ie],le=oe.url;if(Array.isArray(le)){const ue=[];for(let he=0,xe=le.length;he<xe;he++){const ve=le[he],me=te(ve);me!==null&&(me instanceof HTMLImageElement?ue.push(me):ue.push(new _h(me.data,me.width,me.height)))}E[oe.uuid]=new mv(ue)}else{const ue=te(oe.url);E[oe.uuid]=new mv(ue)}}}return E}parseImagesAsync(a){return ca(this,null,function*(){const x=this,y={};let E;function z(ee){return ca(this,null,function*(){if(typeof ee=="string"){const te=ee,ne=/^(\/\/)|([a-z]+:(\/\/)?)/i.test(te)?te:x.resourcePath+te;return yield E.loadAsync(ne)}else return ee.data?{data:ri(ee.type,ee.data),width:ee.width,height:ee.height}:null})}if(a!==void 0&&a.length>0){E=new uE(this.manager),E.setCrossOrigin(this.crossOrigin);for(let ee=0,te=a.length;ee<te;ee++){const ne=a[ee],ie=ne.url;if(Array.isArray(ie)){const ae=[];for(let oe=0,le=ie.length;oe<le;oe++){const ue=ie[oe],he=yield z(ue);he!==null&&(he instanceof HTMLImageElement?ae.push(he):ae.push(new _h(he.data,he.width,he.height)))}y[ne.uuid]=new mv(ae)}else{const ae=yield z(ne.url);y[ne.uuid]=new mv(ae)}}}return y})}parseTextures(a,x){function y(z,ee){return typeof z=="number"?z:(wn("ObjectLoader.parseTexture: Constant should be in numeric form.",z),ee[z])}const E={};if(a!==void 0)for(let z=0,ee=a.length;z<ee;z++){const te=a[z];te.image===void 0&&wn('ObjectLoader: No "image" specified for',te.uuid),x[te.image]===void 0&&wn("ObjectLoader: Undefined image",te.image);const ne=x[te.image],ie=ne.data;let ae;Array.isArray(ie)?(ae=new xv,ie.length===6&&(ae.needsUpdate=!0)):(ie&&ie.data?ae=new _h:ae=new mc,ie&&(ae.needsUpdate=!0)),ae.source=ne,ae.uuid=te.uuid,te.name!==void 0&&(ae.name=te.name),te.mapping!==void 0&&(ae.mapping=y(te.mapping,ZO)),te.channel!==void 0&&(ae.channel=te.channel),te.offset!==void 0&&ae.offset.fromArray(te.offset),te.repeat!==void 0&&ae.repeat.fromArray(te.repeat),te.center!==void 0&&ae.center.fromArray(te.center),te.rotation!==void 0&&(ae.rotation=te.rotation),te.wrap!==void 0&&(ae.wrapS=y(te.wrap[0],Q8),ae.wrapT=y(te.wrap[1],Q8)),te.format!==void 0&&(ae.format=te.format),te.internalFormat!==void 0&&(ae.internalFormat=te.internalFormat),te.type!==void 0&&(ae.type=te.type),te.colorSpace!==void 0&&(ae.colorSpace=te.colorSpace),te.minFilter!==void 0&&(ae.minFilter=y(te.minFilter,Z8)),te.magFilter!==void 0&&(ae.magFilter=y(te.magFilter,Z8)),te.anisotropy!==void 0&&(ae.anisotropy=te.anisotropy),te.flipY!==void 0&&(ae.flipY=te.flipY),te.generateMipmaps!==void 0&&(ae.generateMipmaps=te.generateMipmaps),te.premultiplyAlpha!==void 0&&(ae.premultiplyAlpha=te.premultiplyAlpha),te.unpackAlignment!==void 0&&(ae.unpackAlignment=te.unpackAlignment),te.compareFunction!==void 0&&(ae.compareFunction=te.compareFunction),te.userData!==void 0&&(ae.userData=te.userData),E[te.uuid]=ae}return E}parseObject(a,x,y,E,z){let ee;function te(le){return x[le]===void 0&&wn("ObjectLoader: Undefined geometry",le),x[le]}function ne(le){if(le!==void 0){if(Array.isArray(le)){const ue=[];for(let he=0,xe=le.length;he<xe;he++){const ve=le[he];y[ve]===void 0&&wn("ObjectLoader: Undefined material",ve),ue.push(y[ve])}return ue}return y[le]===void 0&&wn("ObjectLoader: Undefined material",le),y[le]}}function ie(le){return E[le]===void 0&&wn("ObjectLoader: Undefined texture",le),E[le]}let ae,oe;switch(a.type){case"Scene":ee=new ty,a.background!==void 0&&(Number.isInteger(a.background)?ee.background=new Ki(a.background):ee.background=ie(a.background)),a.environment!==void 0&&(ee.environment=ie(a.environment)),a.fog!==void 0&&(a.fog.type==="Fog"?ee.fog=new u3(a.fog.color,a.fog.near,a.fog.far):a.fog.type==="FogExp2"&&(ee.fog=new l3(a.fog.color,a.fog.density)),a.fog.name!==""&&(ee.fog.name=a.fog.name)),a.backgroundBlurriness!==void 0&&(ee.backgroundBlurriness=a.backgroundBlurriness),a.backgroundIntensity!==void 0&&(ee.backgroundIntensity=a.backgroundIntensity),a.backgroundRotation!==void 0&&ee.backgroundRotation.fromArray(a.backgroundRotation),a.environmentIntensity!==void 0&&(ee.environmentIntensity=a.environmentIntensity),a.environmentRotation!==void 0&&ee.environmentRotation.fromArray(a.environmentRotation);break;case"PerspectiveCamera":ee=new gc(a.fov,a.aspect,a.near,a.far),a.focus!==void 0&&(ee.focus=a.focus),a.zoom!==void 0&&(ee.zoom=a.zoom),a.filmGauge!==void 0&&(ee.filmGauge=a.filmGauge),a.filmOffset!==void 0&&(ee.filmOffset=a.filmOffset),a.view!==void 0&&(ee.view=Object.assign({},a.view));break;case"OrthographicCamera":ee=new _A(a.left,a.right,a.top,a.bottom,a.near,a.far),a.zoom!==void 0&&(ee.zoom=a.zoom),a.view!==void 0&&(ee.view=Object.assign({},a.view));break;case"AmbientLight":ee=new e2(a.color,a.intensity);break;case"DirectionalLight":ee=new $3(a.color,a.intensity),ee.target=a.target||"";break;case"PointLight":ee=new V8(a.color,a.intensity,a.distance,a.decay);break;case"RectAreaLight":ee=new G8(a.color,a.intensity,a.width,a.height);break;case"SpotLight":ee=new cE(a.color,a.intensity,a.distance,a.angle,a.penumbra,a.decay),ee.target=a.target||"";break;case"HemisphereLight":ee=new k8(a.color,a.groundColor,a.intensity);break;case"LightProbe":ee=new X8().fromJSON(a);break;case"SkinnedMesh":ae=te(a.geometry),oe=ne(a.material),ee=new NR(ae,oe),a.bindMode!==void 0&&(ee.bindMode=a.bindMode),a.bindMatrix!==void 0&&ee.bindMatrix.fromArray(a.bindMatrix),a.skeleton!==void 0&&(ee.skeleton=a.skeleton);break;case"Mesh":ae=te(a.geometry),oe=ne(a.material),ee=new Il(ae,oe);break;case"InstancedMesh":ae=te(a.geometry),oe=ne(a.material);const le=a.count,ue=a.instanceMatrix,he=a.instanceColor;ee=new RR(ae,oe,le),ee.instanceMatrix=new Xp(new Float32Array(ue.array),16),he!==void 0&&(ee.instanceColor=new Xp(new Float32Array(he.array),he.itemSize));break;case"BatchedMesh":ae=te(a.geometry),oe=ne(a.material),ee=new QR(a.maxInstanceCount,a.maxVertexCount,a.maxIndexCount,oe),ee.geometry=ae,ee.perObjectFrustumCulled=a.perObjectFrustumCulled,ee.sortObjects=a.sortObjects,ee._drawRanges=a.drawRanges,ee._reservedRanges=a.reservedRanges,ee._geometryInfo=a.geometryInfo.map(xe=>{let ve=null,me=null;return xe.boundingBox!==void 0&&(ve=new wd().fromJSON(xe.boundingBox)),xe.boundingSphere!==void 0&&(me=new Cd().fromJSON(xe.boundingSphere)),gp($u({},xe),{boundingBox:ve,boundingSphere:me})}),ee._instanceInfo=a.instanceInfo,ee._availableInstanceIds=a._availableInstanceIds,ee._availableGeometryIds=a._availableGeometryIds,ee._nextIndexStart=a.nextIndexStart,ee._nextVertexStart=a.nextVertexStart,ee._geometryCount=a.geometryCount,ee._maxInstanceCount=a.maxInstanceCount,ee._maxVertexCount=a.maxVertexCount,ee._maxIndexCount=a.maxIndexCount,ee._geometryInitialized=a.geometryInitialized,ee._matricesTexture=ie(a.matricesTexture.uuid),ee._indirectTexture=ie(a.indirectTexture.uuid),a.colorsTexture!==void 0&&(ee._colorsTexture=ie(a.colorsTexture.uuid)),a.boundingSphere!==void 0&&(ee.boundingSphere=new Cd().fromJSON(a.boundingSphere)),a.boundingBox!==void 0&&(ee.boundingBox=new wd().fromJSON(a.boundingBox));break;case"LOD":ee=new DR;break;case"Line":ee=new uy(te(a.geometry),ne(a.material));break;case"LineLoop":ee=new ZR(te(a.geometry),ne(a.material));break;case"LineSegments":ee=new o8(te(a.geometry),ne(a.material));break;case"PointCloud":case"Points":ee=new YR(te(a.geometry),ne(a.material));break;case"Sprite":ee=new TR(ne(a.material));break;case"Group":ee=new yv;break;case"Bone":ee=new qB;break;default:ee=new zu}if(ee.uuid=a.uuid,a.name!==void 0&&(ee.name=a.name),a.matrix!==void 0?(ee.matrix.fromArray(a.matrix),a.matrixAutoUpdate!==void 0&&(ee.matrixAutoUpdate=a.matrixAutoUpdate),ee.matrixAutoUpdate&&ee.matrix.decompose(ee.position,ee.quaternion,ee.scale)):(a.position!==void 0&&ee.position.fromArray(a.position),a.rotation!==void 0&&ee.rotation.fromArray(a.rotation),a.quaternion!==void 0&&ee.quaternion.fromArray(a.quaternion),a.scale!==void 0&&ee.scale.fromArray(a.scale)),a.up!==void 0&&ee.up.fromArray(a.up),a.castShadow!==void 0&&(ee.castShadow=a.castShadow),a.receiveShadow!==void 0&&(ee.receiveShadow=a.receiveShadow),a.shadow&&(a.shadow.intensity!==void 0&&(ee.shadow.intensity=a.shadow.intensity),a.shadow.bias!==void 0&&(ee.shadow.bias=a.shadow.bias),a.shadow.normalBias!==void 0&&(ee.shadow.normalBias=a.shadow.normalBias),a.shadow.radius!==void 0&&(ee.shadow.radius=a.shadow.radius),a.shadow.mapSize!==void 0&&ee.shadow.mapSize.fromArray(a.shadow.mapSize),a.shadow.camera!==void 0&&(ee.shadow.camera=this.parseObject(a.shadow.camera))),a.visible!==void 0&&(ee.visible=a.visible),a.frustumCulled!==void 0&&(ee.frustumCulled=a.frustumCulled),a.renderOrder!==void 0&&(ee.renderOrder=a.renderOrder),a.userData!==void 0&&(ee.userData=a.userData),a.layers!==void 0&&(ee.layers.mask=a.layers),a.children!==void 0){const le=a.children;for(let ue=0;ue<le.length;ue++)ee.add(this.parseObject(le[ue],x,y,E,z))}if(a.animations!==void 0){const le=a.animations;for(let ue=0;ue<le.length;ue++){const he=le[ue];ee.animations.push(z[he])}}if(a.type==="LOD"){a.autoUpdate!==void 0&&(ee.autoUpdate=a.autoUpdate);const le=a.levels;for(let ue=0;ue<le.length;ue++){const he=le[ue],xe=ee.getObjectByProperty("uuid",he.object);xe!==void 0&&ee.addLevel(xe,he.distance,he.hysteresis)}}return ee}bindSkeletons(a,x){Object.keys(x).length!==0&&a.traverse(function(y){if(y.isSkinnedMesh===!0&&y.skeleton!==void 0){const E=x[y.skeleton];E===void 0?wn("ObjectLoader: No skeleton found with UUID:",y.skeleton):y.bind(E,y.bindMatrix)}})}bindLightTargets(a){a.traverse(function(x){if(x.isDirectionalLight||x.isSpotLight){const y=x.target,E=a.getObjectByProperty("uuid",y);E!==void 0?x.target=E:x.target=new zu}})}}const ZO={UVMapping:wa,CubeReflectionMapping:xa,CubeRefractionMapping:fo,EquirectangularReflectionMapping:ol,EquirectangularRefractionMapping:Vd,CubeUVReflectionMapping:Gd},Q8={RepeatWrapping:Ru,ClampToEdgeWrapping:Xu,MirroredRepeatWrapping:uh},Z8={NearestFilter:Do,NearestMipmapNearestFilter:xm,NearestMipmapLinearFilter:mf,LinearFilter:Co,LinearMipmapNearestFilter:ch,LinearMipmapLinearFilter:Wu},n2=new WeakMap;class Xce extends null{constructor(a){super(a),this.isImageBitmapLoader=!0,typeof createImageBitmap=="undefined"&&wn("ImageBitmapLoader: createImageBitmap() not supported."),typeof fetch=="undefined"&&wn("ImageBitmapLoader: fetch() not supported."),this.options={premultiplyAlpha:"none"},this._abortController=new AbortController}setOptions(a){return this.options=a,this}load(a,x,y,E){a===void 0&&(a=""),this.path!==void 0&&(a=this.path+a),a=this.manager.resolveURL(a);const z=this,ee=Ug.get(`image-bitmap:${a}`);if(ee!==void 0){if(z.manager.itemStart(a),ee.then){ee.then(ie=>{if(n2.has(ee)===!0)E&&E(n2.get(ee)),z.manager.itemError(a),z.manager.itemEnd(a);else return x&&x(ie),z.manager.itemEnd(a),ie});return}return setTimeout(function(){x&&x(ee),z.manager.itemEnd(a)},0),ee}const te={};te.credentials=this.crossOrigin==="anonymous"?"same-origin":"include",te.headers=this.requestHeader,te.signal=typeof AbortSignal.any=="function"?AbortSignal.any([this._abortController.signal,this.manager.abortController.signal]):this._abortController.signal;const ne=fetch(a,te).then(function(ie){return ie.blob()}).then(function(ie){return createImageBitmap(ie,Object.assign(z.options,{colorSpaceConversion:"none"}))}).then(function(ie){return Ug.add(`image-bitmap:${a}`,ie),x&&x(ie),z.manager.itemEnd(a),ie}).catch(function(ie){E&&E(ie),n2.set(ne,ie),Ug.remove(`image-bitmap:${a}`),z.manager.itemError(a),z.manager.itemEnd(a)});Ug.add(`image-bitmap:${a}`,ne),z.manager.itemStart(a)}abort(){return this._abortController.abort(),this._abortController=new AbortController,this}}let dE;class Y8{static getContext(){return dE===void 0&&(dE=new(window.AudioContext||window.webkitAudioContext)),dE}static setContext(a){dE=a}}class Wce extends null{constructor(a){super(a)}load(a,x,y,E){const z=this,ee=new O0(this.manager);ee.setResponseType("arraybuffer"),ee.setPath(this.path),ee.setRequestHeader(this.requestHeader),ee.setWithCredentials(this.withCredentials),ee.load(a,function(ne){try{const ie=ne.slice(0);Y8.getContext().decodeAudioData(ie,function(oe){x(oe)}).catch(te)}catch(ie){te(ie)}},y,E);function te(ne){E?E(ne):cr(ne),z.manager.itemError(a)}}}const J8=new Fs,K8=new Fs,Tv=new Fs;class Qce{constructor(){this.type="StereoCamera",this.aspect=1,this.eyeSep=.064,this.cameraL=new gc,this.cameraL.layers.enable(1),this.cameraL.matrixAutoUpdate=!1,this.cameraR=new gc,this.cameraR.layers.enable(2),this.cameraR.matrixAutoUpdate=!1,this._cache={focus:null,fov:null,aspect:null,near:null,far:null,zoom:null,eyeSep:null}}update(a){const x=this._cache;if(x.focus!==a.focus||x.fov!==a.fov||x.aspect!==a.aspect*this.aspect||x.near!==a.near||x.far!==a.far||x.zoom!==a.zoom||x.eyeSep!==this.eyeSep){x.focus=a.focus,x.fov=a.fov,x.aspect=a.aspect*this.aspect,x.near=a.near,x.far=a.far,x.zoom=a.zoom,x.eyeSep=this.eyeSep,Tv.copy(a.projectionMatrix);const E=x.eyeSep/2,z=E*x.near/x.focus,ee=x.near*Math.tan(ad*x.fov*.5)/x.zoom;let te,ne;K8.elements[12]=-E,J8.elements[12]=E,te=-ee*x.aspect+z,ne=ee*x.aspect+z,Tv.elements[0]=2*x.near/(ne-te),Tv.elements[8]=(ne+te)/(ne-te),this.cameraL.projectionMatrix.copy(Tv),te=-ee*x.aspect-z,ne=ee*x.aspect-z,Tv.elements[0]=2*x.near/(ne-te),Tv.elements[8]=(ne+te)/(ne-te),this.cameraR.projectionMatrix.copy(Tv)}this.cameraL.matrixWorld.copy(a.matrixWorld).multiply(K8),this.cameraR.matrixWorld.copy(a.matrixWorld).multiply(J8)}}class q8 extends gc{constructor(a=[]){super(),this.isArrayCamera=!0,this.isMultiViewCamera=!1,this.cameras=a}}class r2{constructor(a=!0){this.autoStart=a,this.startTime=0,this.oldTime=0,this.elapsedTime=0,this.running=!1}start(){this.startTime=performance.now(),this.oldTime=this.startTime,this.elapsedTime=0,this.running=!0}stop(){this.getElapsedTime(),this.running=!1,this.autoStart=!1}getElapsedTime(){return this.getDelta(),this.elapsedTime}getDelta(){let a=0;if(this.autoStart&&!this.running)return this.start(),0;if(this.running){const x=performance.now();a=(x-this.oldTime)/1e3,this.oldTime=x,this.elapsedTime+=a}return a}}const Dv=new ft,i2=new pc,YO=new ft,Iv=new ft,Nv=new ft;class Zce extends null{constructor(){super(),this.type="AudioListener",this.context=Y8.getContext(),this.gain=this.context.createGain(),this.gain.connect(this.context.destination),this.filter=null,this.timeDelta=0,this._clock=new r2}getInput(){return this.gain}removeFilter(){return this.filter!==null&&(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination),this.gain.connect(this.context.destination),this.filter=null),this}getFilter(){return this.filter}setFilter(a){return this.filter!==null?(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination)):this.gain.disconnect(this.context.destination),this.filter=a,this.gain.connect(this.filter),this.filter.connect(this.context.destination),this}getMasterVolume(){return this.gain.gain.value}setMasterVolume(a){return this.gain.gain.setTargetAtTime(a,this.context.currentTime,.01),this}updateMatrixWorld(a){super.updateMatrixWorld(a);const x=this.context.listener;if(this.timeDelta=this._clock.getDelta(),this.matrixWorld.decompose(Dv,i2,YO),Iv.set(0,0,-1).applyQuaternion(i2),Nv.set(0,1,0).applyQuaternion(i2),x.positionX){const y=this.context.currentTime+this.timeDelta;x.positionX.linearRampToValueAtTime(Dv.x,y),x.positionY.linearRampToValueAtTime(Dv.y,y),x.positionZ.linearRampToValueAtTime(Dv.z,y),x.forwardX.linearRampToValueAtTime(Iv.x,y),x.forwardY.linearRampToValueAtTime(Iv.y,y),x.forwardZ.linearRampToValueAtTime(Iv.z,y),x.upX.linearRampToValueAtTime(Nv.x,y),x.upY.linearRampToValueAtTime(Nv.y,y),x.upZ.linearRampToValueAtTime(Nv.z,y)}else x.setPosition(Dv.x,Dv.y,Dv.z),x.setOrientation(Iv.x,Iv.y,Iv.z,Nv.x,Nv.y,Nv.z)}}class Yce extends null{constructor(a){super(),this.type="Audio",this.listener=a,this.context=a.context,this.gain=this.context.createGain(),this.gain.connect(a.getInput()),this.autoplay=!1,this.buffer=null,this.detune=0,this.loop=!1,this.loopStart=0,this.loopEnd=0,this.offset=0,this.duration=void 0,this.playbackRate=1,this.isPlaying=!1,this.hasPlaybackControl=!0,this.source=null,this.sourceType="empty",this._startedAt=0,this._progress=0,this._connected=!1,this.filters=[]}getOutput(){return this.gain}setNodeSource(a){return this.hasPlaybackControl=!1,this.sourceType="audioNode",this.source=a,this.connect(),this}setMediaElementSource(a){return this.hasPlaybackControl=!1,this.sourceType="mediaNode",this.source=this.context.createMediaElementSource(a),this.connect(),this}setMediaStreamSource(a){return this.hasPlaybackControl=!1,this.sourceType="mediaStreamNode",this.source=this.context.createMediaStreamSource(a),this.connect(),this}setBuffer(a){return this.buffer=a,this.sourceType="buffer",this.autoplay&&this.play(),this}play(a=0){if(this.isPlaying===!0){wn("Audio: Audio is already playing.");return}if(this.hasPlaybackControl===!1){wn("Audio: this Audio has no playback control.");return}this._startedAt=this.context.currentTime+a;const x=this.context.createBufferSource();return x.buffer=this.buffer,x.loop=this.loop,x.loopStart=this.loopStart,x.loopEnd=this.loopEnd,x.onended=this.onEnded.bind(this),x.start(this._startedAt,this._progress+this.offset,this.duration),this.isPlaying=!0,this.source=x,this.setDetune(this.detune),this.setPlaybackRate(this.playbackRate),this.connect()}pause(){if(this.hasPlaybackControl===!1){wn("Audio: this Audio has no playback control.");return}return this.isPlaying===!0&&(this._progress+=Math.max(this.context.currentTime-this._startedAt,0)*this.playbackRate,this.loop===!0&&(this._progress=this._progress%(this.duration||this.buffer.duration)),this.source.stop(),this.source.onended=null,this.isPlaying=!1),this}stop(a=0){if(this.hasPlaybackControl===!1){wn("Audio: this Audio has no playback control.");return}return this._progress=0,this.source!==null&&(this.source.stop(this.context.currentTime+a),this.source.onended=null),this.isPlaying=!1,this}connect(){if(this.filters.length>0){this.source.connect(this.filters[0]);for(let a=1,x=this.filters.length;a<x;a++)this.filters[a-1].connect(this.filters[a]);this.filters[this.filters.length-1].connect(this.getOutput())}else this.source.connect(this.getOutput());return this._connected=!0,this}disconnect(){if(this._connected!==!1){if(this.filters.length>0){this.source.disconnect(this.filters[0]);for(let a=1,x=this.filters.length;a<x;a++)this.filters[a-1].disconnect(this.filters[a]);this.filters[this.filters.length-1].disconnect(this.getOutput())}else this.source.disconnect(this.getOutput());return this._connected=!1,this}}getFilters(){return this.filters}setFilters(a){return a||(a=[]),this._connected===!0?(this.disconnect(),this.filters=a.slice(),this.connect()):this.filters=a.slice(),this}setDetune(a){return this.detune=a,this.isPlaying===!0&&this.source.detune!==void 0&&this.source.detune.setTargetAtTime(this.detune,this.context.currentTime,.01),this}getDetune(){return this.detune}getFilter(){return this.getFilters()[0]}setFilter(a){return this.setFilters(a?[a]:[])}setPlaybackRate(a){if(this.hasPlaybackControl===!1){wn("Audio: this Audio has no playback control.");return}return this.playbackRate=a,this.isPlaying===!0&&this.source.playbackRate.setTargetAtTime(this.playbackRate,this.context.currentTime,.01),this}getPlaybackRate(){return this.playbackRate}onEnded(){this.isPlaying=!1,this._progress=0}getLoop(){return this.hasPlaybackControl===!1?(wn("Audio: this Audio has no playback control."),!1):this.loop}setLoop(a){if(this.hasPlaybackControl===!1){wn("Audio: this Audio has no playback control.");return}return this.loop=a,this.isPlaying===!0&&(this.source.loop=this.loop),this}setLoopStart(a){return this.loopStart=a,this}setLoopEnd(a){return this.loopEnd=a,this}getVolume(){return this.gain.gain.value}setVolume(a){return this.gain.gain.setTargetAtTime(a,this.context.currentTime,.01),this}copy(a,x){return super.copy(a,x),a.sourceType!=="buffer"?(wn("Audio: Audio source type cannot be copied."),this):(this.autoplay=a.autoplay,this.buffer=a.buffer,this.detune=a.detune,this.loop=a.loop,this.loopStart=a.loopStart,this.loopEnd=a.loopEnd,this.offset=a.offset,this.duration=a.duration,this.playbackRate=a.playbackRate,this.hasPlaybackControl=a.hasPlaybackControl,this.sourceType=a.sourceType,this.filters=a.filters.slice(),this)}clone(a){return new this.constructor(this.listener).copy(this,a)}}const Fv=new ft,_8=new pc,JO=new ft,Lv=new ft;class Jce extends null{constructor(a){super(a),this.panner=this.context.createPanner(),this.panner.panningModel="HRTF",this.panner.connect(this.gain)}connect(){return super.connect(),this.panner.connect(this.gain),this}disconnect(){return super.disconnect(),this.panner.disconnect(this.gain),this}getOutput(){return this.panner}getRefDistance(){return this.panner.refDistance}setRefDistance(a){return this.panner.refDistance=a,this}getRolloffFactor(){return this.panner.rolloffFactor}setRolloffFactor(a){return this.panner.rolloffFactor=a,this}getDistanceModel(){return this.panner.distanceModel}setDistanceModel(a){return this.panner.distanceModel=a,this}getMaxDistance(){return this.panner.maxDistance}setMaxDistance(a){return this.panner.maxDistance=a,this}setDirectionalCone(a,x,y){return this.panner.coneInnerAngle=a,this.panner.coneOuterAngle=x,this.panner.coneOuterGain=y,this}updateMatrixWorld(a){if(super.updateMatrixWorld(a),this.hasPlaybackControl===!0&&this.isPlaying===!1)return;this.matrixWorld.decompose(Fv,_8,JO),Lv.set(0,0,1).applyQuaternion(_8);const x=this.panner;if(x.positionX){const y=this.context.currentTime+this.listener.timeDelta;x.positionX.linearRampToValueAtTime(Fv.x,y),x.positionY.linearRampToValueAtTime(Fv.y,y),x.positionZ.linearRampToValueAtTime(Fv.z,y),x.orientationX.linearRampToValueAtTime(Lv.x,y),x.orientationY.linearRampToValueAtTime(Lv.y,y),x.orientationZ.linearRampToValueAtTime(Lv.z,y)}else x.setPosition(Fv.x,Fv.y,Fv.z),x.setOrientation(Lv.x,Lv.y,Lv.z)}}class Kce{constructor(a,x=2048){this.analyser=a.context.createAnalyser(),this.analyser.fftSize=x,this.data=new Uint8Array(this.analyser.frequencyBinCount),a.getOutput().connect(this.analyser)}getFrequencyData(){return this.analyser.getByteFrequencyData(this.data),this.data}getAverageFrequency(){let a=0;const x=this.getFrequencyData();for(let y=0;y<x.length;y++)a+=x[y];return a/x.length}}class KO{constructor(a,x,y){this.binding=a,this.valueSize=y;let E,z,ee;switch(x){case"quaternion":E=this._slerp,z=this._slerpAdditive,ee=this._setAdditiveIdentityQuaternion,this.buffer=new Float64Array(y*6),this._workIndex=5;break;case"string":case"bool":E=this._select,z=this._select,ee=this._setAdditiveIdentityOther,this.buffer=new Array(y*5);break;default:E=this._lerp,z=this._lerpAdditive,ee=this._setAdditiveIdentityNumeric,this.buffer=new Float64Array(y*5)}this._mixBufferRegion=E,this._mixBufferRegionAdditive=z,this._setIdentity=ee,this._origIndex=3,this._addIndex=4,this.cumulativeWeight=0,this.cumulativeWeightAdditive=0,this.useCount=0,this.referenceCount=0}accumulate(a,x){const y=this.buffer,E=this.valueSize,z=a*E+E;let ee=this.cumulativeWeight;if(ee===0){for(let te=0;te!==E;++te)y[z+te]=y[te];ee=x}else{ee+=x;const te=x/ee;this._mixBufferRegion(y,z,0,te,E)}this.cumulativeWeight=ee}accumulateAdditive(a){const x=this.buffer,y=this.valueSize,E=y*this._addIndex;this.cumulativeWeightAdditive===0&&this._setIdentity(),this._mixBufferRegionAdditive(x,E,0,a,y),this.cumulativeWeightAdditive+=a}apply(a){const x=this.valueSize,y=this.buffer,E=a*x+x,z=this.cumulativeWeight,ee=this.cumulativeWeightAdditive,te=this.binding;if(this.cumulativeWeight=0,this.cumulativeWeightAdditive=0,z<1){const ne=x*this._origIndex;this._mixBufferRegion(y,E,ne,1-z,x)}ee>0&&this._mixBufferRegionAdditive(y,E,this._addIndex*x,1,x);for(let ne=x,ie=x+x;ne!==ie;++ne)if(y[ne]!==y[ne+x]){te.setValue(y,E);break}}saveOriginalState(){const a=this.binding,x=this.buffer,y=this.valueSize,E=y*this._origIndex;a.getValue(x,E);for(let z=y,ee=E;z!==ee;++z)x[z]=x[E+z%y];this._setIdentity(),this.cumulativeWeight=0,this.cumulativeWeightAdditive=0}restoreOriginalState(){const a=this.valueSize*3;this.binding.setValue(this.buffer,a)}_setAdditiveIdentityNumeric(){const a=this._addIndex*this.valueSize,x=a+this.valueSize;for(let y=a;y<x;y++)this.buffer[y]=0}_setAdditiveIdentityQuaternion(){this._setAdditiveIdentityNumeric(),this.buffer[this._addIndex*this.valueSize+3]=1}_setAdditiveIdentityOther(){const a=this._origIndex*this.valueSize,x=this._addIndex*this.valueSize;for(let y=0;y<this.valueSize;y++)this.buffer[x+y]=this.buffer[a+y]}_select(a,x,y,E,z){if(E>=.5)for(let ee=0;ee!==z;++ee)a[x+ee]=a[y+ee]}_slerp(a,x,y,E){pc.slerpFlat(a,x,a,x,a,y,E)}_slerpAdditive(a,x,y,E,z){const ee=this._workIndex*z;pc.multiplyQuaternionsFlat(a,ee,a,x,a,y),pc.slerpFlat(a,x,a,x,a,ee,E)}_lerp(a,x,y,E,z){const ee=1-E;for(let te=0;te!==z;++te){const ne=x+te;a[ne]=a[ne]*ee+a[y+te]*E}}_lerpAdditive(a,x,y,E,z){for(let ee=0;ee!==z;++ee){const te=x+ee;a[te]=a[te]+a[y+ee]*E}}}const s2="\\[\\]\\.:\\/",qO=new RegExp("["+s2+"]","g"),a2="[^"+s2+"]",_O="[^"+s2.replace("\\.","")+"]",$O=/((?:WC+[\/:])*)/.source.replace("WC",a2),ez=/(WCOD+)?/.source.replace("WCOD",_O),tz=/(?:\.(WC+)(?:\[(.+)\])?)?/.source.replace("WC",a2),nz=/\.(WC+)(?:\[(.+)\])?/.source.replace("WC",a2),rz=new RegExp("^"+$O+ez+tz+nz+"$"),iz=["material","materials","bones","map"];class sz{constructor(a,x,y){const E=y||pl.parseTrackName(x);this._targetGroup=a,this._bindings=a.subscribe_(x,E)}getValue(a,x){this.bind();const y=this._targetGroup.nCachedObjects_,E=this._bindings[y];E!==void 0&&E.getValue(a,x)}setValue(a,x){const y=this._bindings;for(let E=this._targetGroup.nCachedObjects_,z=y.length;E!==z;++E)y[E].setValue(a,x)}bind(){const a=this._bindings;for(let x=this._targetGroup.nCachedObjects_,y=a.length;x!==y;++x)a[x].bind()}unbind(){const a=this._bindings;for(let x=this._targetGroup.nCachedObjects_,y=a.length;x!==y;++x)a[x].unbind()}}class pl{constructor(a,x,y){this.path=x,this.parsedPath=y||pl.parseTrackName(x),this.node=pl.findNode(a,this.parsedPath.nodeName),this.rootNode=a,this.getValue=this._getValue_unbound,this.setValue=this._setValue_unbound}static create(a,x,y){return a&&a.isAnimationObjectGroup?new pl.Composite(a,x,y):new pl(a,x,y)}static sanitizeNodeName(a){return a.replace(/\s/g,"_").replace(qO,"")}static parseTrackName(a){const x=rz.exec(a);if(x===null)throw new Error("PropertyBinding: Cannot parse trackName: "+a);const y={nodeName:x[2],objectName:x[3],objectIndex:x[4],propertyName:x[5],propertyIndex:x[6]},E=y.nodeName&&y.nodeName.lastIndexOf(".");if(E!==void 0&&E!==-1){const z=y.nodeName.substring(E+1);iz.indexOf(z)!==-1&&(y.nodeName=y.nodeName.substring(0,E),y.objectName=z)}if(y.propertyName===null||y.propertyName.length===0)throw new Error("PropertyBinding: can not parse propertyName from trackName: "+a);return y}static findNode(a,x){if(x===void 0||x===""||x==="."||x===-1||x===a.name||x===a.uuid)return a;if(a.skeleton){const y=a.skeleton.getBoneByName(x);if(y!==void 0)return y}if(a.children){const y=function(z){for(let ee=0;ee<z.length;ee++){const te=z[ee];if(te.name===x||te.uuid===x)return te;const ne=y(te.children);if(ne)return ne}return null},E=y(a.children);if(E)return E}return null}_getValue_unavailable(){}_setValue_unavailable(){}_getValue_direct(a,x){a[x]=this.targetObject[this.propertyName]}_getValue_array(a,x){const y=this.resolvedProperty;for(let E=0,z=y.length;E!==z;++E)a[x++]=y[E]}_getValue_arrayElement(a,x){a[x]=this.resolvedProperty[this.propertyIndex]}_getValue_toArray(a,x){this.resolvedProperty.toArray(a,x)}_setValue_direct(a,x){this.targetObject[this.propertyName]=a[x]}_setValue_direct_setNeedsUpdate(a,x){this.targetObject[this.propertyName]=a[x],this.targetObject.needsUpdate=!0}_setValue_direct_setMatrixWorldNeedsUpdate(a,x){this.targetObject[this.propertyName]=a[x],this.targetObject.matrixWorldNeedsUpdate=!0}_setValue_array(a,x){const y=this.resolvedProperty;for(let E=0,z=y.length;E!==z;++E)y[E]=a[x++]}_setValue_array_setNeedsUpdate(a,x){const y=this.resolvedProperty;for(let E=0,z=y.length;E!==z;++E)y[E]=a[x++];this.targetObject.needsUpdate=!0}_setValue_array_setMatrixWorldNeedsUpdate(a,x){const y=this.resolvedProperty;for(let E=0,z=y.length;E!==z;++E)y[E]=a[x++];this.targetObject.matrixWorldNeedsUpdate=!0}_setValue_arrayElement(a,x){this.resolvedProperty[this.propertyIndex]=a[x]}_setValue_arrayElement_setNeedsUpdate(a,x){this.resolvedProperty[this.propertyIndex]=a[x],this.targetObject.needsUpdate=!0}_setValue_arrayElement_setMatrixWorldNeedsUpdate(a,x){this.resolvedProperty[this.propertyIndex]=a[x],this.targetObject.matrixWorldNeedsUpdate=!0}_setValue_fromArray(a,x){this.resolvedProperty.fromArray(a,x)}_setValue_fromArray_setNeedsUpdate(a,x){this.resolvedProperty.fromArray(a,x),this.targetObject.needsUpdate=!0}_setValue_fromArray_setMatrixWorldNeedsUpdate(a,x){this.resolvedProperty.fromArray(a,x),this.targetObject.matrixWorldNeedsUpdate=!0}_getValue_unbound(a,x){this.bind(),this.getValue(a,x)}_setValue_unbound(a,x){this.bind(),this.setValue(a,x)}bind(){let a=this.node;const x=this.parsedPath,y=x.objectName,E=x.propertyName;let z=x.propertyIndex;if(a||(a=pl.findNode(this.rootNode,x.nodeName),this.node=a),this.getValue=this._getValue_unavailable,this.setValue=this._setValue_unavailable,!a){wn("PropertyBinding: No target node found for track: "+this.path+".");return}if(y){let ie=x.objectIndex;switch(y){case"materials":if(!a.material){cr("PropertyBinding: Can not bind to material as node does not have a material.",this);return}if(!a.material.materials){cr("PropertyBinding: Can not bind to material.materials as node.material does not have a materials array.",this);return}a=a.material.materials;break;case"bones":if(!a.skeleton){cr("PropertyBinding: Can not bind to bones as node does not have a skeleton.",this);return}a=a.skeleton.bones;for(let ae=0;ae<a.length;ae++)if(a[ae].name===ie){ie=ae;break}break;case"map":if("map"in a){a=a.map;break}if(!a.material){cr("PropertyBinding: Can not bind to material as node does not have a material.",this);return}if(!a.material.map){cr("PropertyBinding: Can not bind to material.map as node.material does not have a map.",this);return}a=a.material.map;break;default:if(a[y]===void 0){cr("PropertyBinding: Can not bind to objectName of node undefined.",this);return}a=a[y]}if(ie!==void 0){if(a[ie]===void 0){cr("PropertyBinding: Trying to bind to objectIndex of objectName, but is undefined.",this,a);return}a=a[ie]}}const ee=a[E];if(ee===void 0){const ie=x.nodeName;cr("PropertyBinding: Trying to update property for track: "+ie+"."+E+" but it wasn't found.",a);return}let te=this.Versioning.None;this.targetObject=a,a.isMaterial===!0?te=this.Versioning.NeedsUpdate:a.isObject3D===!0&&(te=this.Versioning.MatrixWorldNeedsUpdate);let ne=this.BindingType.Direct;if(z!==void 0){if(E==="morphTargetInfluences"){if(!a.geometry){cr("PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.",this);return}if(!a.geometry.morphAttributes){cr("PropertyBinding: Can not bind to morphTargetInfluences because node does not have a geometry.morphAttributes.",this);return}a.morphTargetDictionary[z]!==void 0&&(z=a.morphTargetDictionary[z])}ne=this.BindingType.ArrayElement,this.resolvedProperty=ee,this.propertyIndex=z}else ee.fromArray!==void 0&&ee.toArray!==void 0?(ne=this.BindingType.HasFromToArray,this.resolvedProperty=ee):Array.isArray(ee)?(ne=this.BindingType.EntireArray,this.resolvedProperty=ee):this.propertyName=E;this.getValue=this.GetterByBindingType[ne],this.setValue=this.SetterByBindingTypeAndVersioning[ne][te]}unbind(){this.node=null,this.getValue=this._getValue_unbound,this.setValue=this._setValue_unbound}}pl.Composite=sz,pl.prototype.BindingType={Direct:0,EntireArray:1,ArrayElement:2,HasFromToArray:3},pl.prototype.Versioning={None:0,NeedsUpdate:1,MatrixWorldNeedsUpdate:2},pl.prototype.GetterByBindingType=[pl.prototype._getValue_direct,pl.prototype._getValue_array,pl.prototype._getValue_arrayElement,pl.prototype._getValue_toArray],pl.prototype.SetterByBindingTypeAndVersioning=[[pl.prototype._setValue_direct,pl.prototype._setValue_direct_setNeedsUpdate,pl.prototype._setValue_direct_setMatrixWorldNeedsUpdate],[pl.prototype._setValue_array,pl.prototype._setValue_array_setNeedsUpdate,pl.prototype._setValue_array_setMatrixWorldNeedsUpdate],[pl.prototype._setValue_arrayElement,pl.prototype._setValue_arrayElement_setNeedsUpdate,pl.prototype._setValue_arrayElement_setMatrixWorldNeedsUpdate],[pl.prototype._setValue_fromArray,pl.prototype._setValue_fromArray_setNeedsUpdate,pl.prototype._setValue_fromArray_setMatrixWorldNeedsUpdate]];class qce{constructor(){this.isAnimationObjectGroup=!0,this.uuid=Zu(),this._objects=Array.prototype.slice.call(arguments),this.nCachedObjects_=0;const a={};this._indicesByUUID=a;for(let y=0,E=arguments.length;y!==E;++y)a[arguments[y].uuid]=y;this._paths=[],this._parsedPaths=[],this._bindings=[],this._bindingsIndicesByPath={};const x=this;this.stats={objects:{get total(){return x._objects.length},get inUse(){return this.total-x.nCachedObjects_}},get bindingsPerObject(){return x._bindings.length}}}add(){const a=this._objects,x=this._indicesByUUID,y=this._paths,E=this._parsedPaths,z=this._bindings,ee=z.length;let te,ne=a.length,ie=this.nCachedObjects_;for(let ae=0,oe=arguments.length;ae!==oe;++ae){const le=arguments[ae],ue=le.uuid;let he=x[ue];if(he===void 0){he=ne++,x[ue]=he,a.push(le);for(let xe=0,ve=ee;xe!==ve;++xe)z[xe].push(new pl(le,y[xe],E[xe]))}else if(he<ie){te=a[he];const xe=--ie,ve=a[xe];x[ve.uuid]=he,a[he]=ve,x[ue]=xe,a[xe]=le;for(let me=0,Pe=ee;me!==Pe;++me){const we=z[me],Me=we[xe];let Le=we[he];we[he]=Me,Le===void 0&&(Le=new pl(le,y[me],E[me])),we[xe]=Le}}else a[he]!==te&&cr("AnimationObjectGroup: Different objects with the same UUID detected. Clean the caches or recreate your infrastructure when reloading scenes.")}this.nCachedObjects_=ie}remove(){const a=this._objects,x=this._indicesByUUID,y=this._bindings,E=y.length;let z=this.nCachedObjects_;for(let ee=0,te=arguments.length;ee!==te;++ee){const ne=arguments[ee],ie=ne.uuid,ae=x[ie];if(ae!==void 0&&ae>=z){const oe=z++,le=a[oe];x[le.uuid]=ae,a[ae]=le,x[ie]=oe,a[oe]=ne;for(let ue=0,he=E;ue!==he;++ue){const xe=y[ue],ve=xe[oe],me=xe[ae];xe[ae]=ve,xe[oe]=me}}}this.nCachedObjects_=z}uncache(){const a=this._objects,x=this._indicesByUUID,y=this._bindings,E=y.length;let z=this.nCachedObjects_,ee=a.length;for(let te=0,ne=arguments.length;te!==ne;++te){const ie=arguments[te],ae=ie.uuid,oe=x[ae];if(oe!==void 0)if(delete x[ae],oe<z){const le=--z,ue=a[le],he=--ee,xe=a[he];x[ue.uuid]=oe,a[oe]=ue,x[xe.uuid]=le,a[le]=xe,a.pop();for(let ve=0,me=E;ve!==me;++ve){const Pe=y[ve],we=Pe[le],Me=Pe[he];Pe[oe]=we,Pe[le]=Me,Pe.pop()}}else{const le=--ee,ue=a[le];le>0&&(x[ue.uuid]=oe),a[oe]=ue,a.pop();for(let he=0,xe=E;he!==xe;++he){const ve=y[he];ve[oe]=ve[le],ve.pop()}}}this.nCachedObjects_=z}subscribe_(a,x){const y=this._bindingsIndicesByPath;let E=y[a];const z=this._bindings;if(E!==void 0)return z[E];const ee=this._paths,te=this._parsedPaths,ne=this._objects,ie=ne.length,ae=this.nCachedObjects_,oe=new Array(ie);E=z.length,y[a]=E,ee.push(a),te.push(x),z.push(oe);for(let le=ae,ue=ne.length;le!==ue;++le){const he=ne[le];oe[le]=new pl(he,a,x)}return oe}unsubscribe_(a){const x=this._bindingsIndicesByPath,y=x[a];if(y!==void 0){const E=this._paths,z=this._parsedPaths,ee=this._bindings,te=ee.length-1,ne=ee[te],ie=a[te];x[ie]=y,ee[y]=ne,ee.pop(),z[y]=z[te],z.pop(),E[y]=E[te],E.pop()}}}class az{constructor(a,x,y=null,E=x.blendMode){this._mixer=a,this._clip=x,this._localRoot=y,this.blendMode=E;const z=x.tracks,ee=z.length,te=new Array(ee),ne={endingStart:wl,endingEnd:wl};for(let ie=0;ie!==ee;++ie){const ae=z[ie].createInterpolant(null);te[ie]=ae,ae.settings=ne}this._interpolantSettings=ne,this._interpolants=te,this._propertyBindings=new Array(ee),this._cacheIndex=null,this._byClipCacheIndex=null,this._timeScaleInterpolant=null,this._weightInterpolant=null,this.loop=dv,this._loopCount=-1,this._startTime=null,this.time=0,this.timeScale=1,this._effectiveTimeScale=1,this.weight=1,this._effectiveWeight=1,this.repetitions=1/0,this.paused=!1,this.enabled=!0,this.clampWhenFinished=!1,this.zeroSlopeAtStart=!0,this.zeroSlopeAtEnd=!0}play(){return this._mixer._activateAction(this),this}stop(){return this._mixer._deactivateAction(this),this.reset()}reset(){return this.paused=!1,this.enabled=!0,this.time=0,this._loopCount=-1,this._startTime=null,this.stopFading().stopWarping()}isRunning(){return this.enabled&&!this.paused&&this.timeScale!==0&&this._startTime===null&&this._mixer._isActiveAction(this)}isScheduled(){return this._mixer._isActiveAction(this)}startAt(a){return this._startTime=a,this}setLoop(a,x){return this.loop=a,this.repetitions=x,this}setEffectiveWeight(a){return this.weight=a,this._effectiveWeight=this.enabled?a:0,this.stopFading()}getEffectiveWeight(){return this._effectiveWeight}fadeIn(a){return this._scheduleFading(a,0,1)}fadeOut(a){return this._scheduleFading(a,1,0)}crossFadeFrom(a,x,y=!1){if(a.fadeOut(x),this.fadeIn(x),y===!0){const E=this._clip.duration,z=a._clip.duration,ee=z/E,te=E/z;a.warp(1,ee,x),this.warp(te,1,x)}return this}crossFadeTo(a,x,y=!1){return a.crossFadeFrom(this,x,y)}stopFading(){const a=this._weightInterpolant;return a!==null&&(this._weightInterpolant=null,this._mixer._takeBackControlInterpolant(a)),this}setEffectiveTimeScale(a){return this.timeScale=a,this._effectiveTimeScale=this.paused?0:a,this.stopWarping()}getEffectiveTimeScale(){return this._effectiveTimeScale}setDuration(a){return this.timeScale=this._clip.duration/a,this.stopWarping()}syncWith(a){return this.time=a.time,this.timeScale=a.timeScale,this.stopWarping()}halt(a){return this.warp(this._effectiveTimeScale,0,a)}warp(a,x,y){const E=this._mixer,z=E.time,ee=this.timeScale;let te=this._timeScaleInterpolant;te===null&&(te=E._lendControlInterpolant(),this._timeScaleInterpolant=te);const ne=te.parameterPositions,ie=te.sampleValues;return ne[0]=z,ne[1]=z+y,ie[0]=a/ee,ie[1]=x/ee,this}stopWarping(){const a=this._timeScaleInterpolant;return a!==null&&(this._timeScaleInterpolant=null,this._mixer._takeBackControlInterpolant(a)),this}getMixer(){return this._mixer}getClip(){return this._clip}getRoot(){return this._localRoot||this._mixer._root}_update(a,x,y,E){if(!this.enabled){this._updateWeight(a);return}const z=this._startTime;if(z!==null){const ne=(a-z)*y;ne<0||y===0?x=0:(this._startTime=null,x=y*ne)}x*=this._updateTimeScale(a);const ee=this._updateTime(x),te=this._updateWeight(a);if(te>0){const ne=this._interpolants,ie=this._propertyBindings;switch(this.blendMode){case Up:for(let ae=0,oe=ne.length;ae!==oe;++ae)ne[ae].evaluate(ee),ie[ae].accumulateAdditive(te);break;case Bg:default:for(let ae=0,oe=ne.length;ae!==oe;++ae)ne[ae].evaluate(ee),ie[ae].accumulate(E,te)}}}_updateWeight(a){let x=0;if(this.enabled){x=this.weight;const y=this._weightInterpolant;if(y!==null){const E=y.evaluate(a)[0];x*=E,a>y.parameterPositions[1]&&(this.stopFading(),E===0&&(this.enabled=!1))}}return this._effectiveWeight=x,x}_updateTimeScale(a){let x=0;if(!this.paused){x=this.timeScale;const y=this._timeScaleInterpolant;if(y!==null){const E=y.evaluate(a)[0];x*=E,a>y.parameterPositions[1]&&(this.stopWarping(),x===0?this.paused=!0:this.timeScale=x)}}return this._effectiveTimeScale=x,x}_updateTime(a){const x=this._clip.duration,y=this.loop;let E=this.time+a,z=this._loopCount;const ee=y===Hp;if(a===0)return z===-1?E:ee&&(z&1)===1?x-E:E;if(y===AA){z===-1&&(this._loopCount=0,this._setEndings(!0,!0,!1));e:{if(E>=x)E=x;else if(E<0)E=0;else{this.time=E;break e}this.clampWhenFinished?this.paused=!0:this.enabled=!1,this.time=E,this._mixer.dispatchEvent({type:"finished",action:this,direction:a<0?-1:1})}}else{if(z===-1&&(a>=0?(z=0,this._setEndings(!0,this.repetitions===0,ee)):this._setEndings(this.repetitions===0,!0,ee)),E>=x||E<0){const te=Math.floor(E/x);E-=x*te,z+=Math.abs(te);const ne=this.repetitions-z;if(ne<=0)this.clampWhenFinished?this.paused=!0:this.enabled=!1,E=a>0?x:0,this.time=E,this._mixer.dispatchEvent({type:"finished",action:this,direction:a>0?1:-1});else{if(ne===1){const ie=a<0;this._setEndings(ie,!ie,ee)}else this._setEndings(!1,!1,ee);this._loopCount=z,this.time=E,this._mixer.dispatchEvent({type:"loop",action:this,loopDelta:te})}}else this.time=E;if(ee&&(z&1)===1)return x-E}return E}_setEndings(a,x,y){const E=this._interpolantSettings;y?(E.endingStart=Zh,E.endingEnd=Zh):(a?E.endingStart=this.zeroSlopeAtStart?Zh:wl:E.endingStart=Sg,x?E.endingEnd=this.zeroSlopeAtEnd?Zh:wl:E.endingEnd=Sg)}_scheduleFading(a,x,y){const E=this._mixer,z=E.time;let ee=this._weightInterpolant;ee===null&&(ee=E._lendControlInterpolant(),this._weightInterpolant=ee);const te=ee.parameterPositions,ne=ee.sampleValues;return te[0]=z,ne[0]=x,te[1]=z+a,ne[1]=y,this}}const oz=new Float32Array(1);class _ce extends null{constructor(a){super(),this._root=a,this._initMemoryManager(),this._accuIndex=0,this.time=0,this.timeScale=1}_bindAction(a,x){const y=a._localRoot||this._root,E=a._clip.tracks,z=E.length,ee=a._propertyBindings,te=a._interpolants,ne=y.uuid,ie=this._bindingsByRootAndName;let ae=ie[ne];ae===void 0&&(ae={},ie[ne]=ae);for(let oe=0;oe!==z;++oe){const le=E[oe],ue=le.name;let he=ae[ue];if(he!==void 0)++he.referenceCount,ee[oe]=he;else{if(he=ee[oe],he!==void 0){he._cacheIndex===null&&(++he.referenceCount,this._addInactiveBinding(he,ne,ue));continue}const xe=x&&x._propertyBindings[oe].binding.parsedPath;he=new KO(pl.create(y,ue,xe),le.ValueTypeName,le.getValueSize()),++he.referenceCount,this._addInactiveBinding(he,ne,ue),ee[oe]=he}te[oe].resultBuffer=he.buffer}}_activateAction(a){if(!this._isActiveAction(a)){if(a._cacheIndex===null){const y=(a._localRoot||this._root).uuid,E=a._clip.uuid,z=this._actionsByClip[E];this._bindAction(a,z&&z.knownActions[0]),this._addInactiveAction(a,E,y)}const x=a._propertyBindings;for(let y=0,E=x.length;y!==E;++y){const z=x[y];z.useCount++===0&&(this._lendBinding(z),z.saveOriginalState())}this._lendAction(a)}}_deactivateAction(a){if(this._isActiveAction(a)){const x=a._propertyBindings;for(let y=0,E=x.length;y!==E;++y){const z=x[y];--z.useCount===0&&(z.restoreOriginalState(),this._takeBackBinding(z))}this._takeBackAction(a)}}_initMemoryManager(){this._actions=[],this._nActiveActions=0,this._actionsByClip={},this._bindings=[],this._nActiveBindings=0,this._bindingsByRootAndName={},this._controlInterpolants=[],this._nActiveControlInterpolants=0;const a=this;this.stats={actions:{get total(){return a._actions.length},get inUse(){return a._nActiveActions}},bindings:{get total(){return a._bindings.length},get inUse(){return a._nActiveBindings}},controlInterpolants:{get total(){return a._controlInterpolants.length},get inUse(){return a._nActiveControlInterpolants}}}}_isActiveAction(a){const x=a._cacheIndex;return x!==null&&x<this._nActiveActions}_addInactiveAction(a,x,y){const E=this._actions,z=this._actionsByClip;let ee=z[x];if(ee===void 0)ee={knownActions:[a],actionByRoot:{}},a._byClipCacheIndex=0,z[x]=ee;else{const te=ee.knownActions;a._byClipCacheIndex=te.length,te.push(a)}a._cacheIndex=E.length,E.push(a),ee.actionByRoot[y]=a}_removeInactiveAction(a){const x=this._actions,y=x[x.length-1],E=a._cacheIndex;y._cacheIndex=E,x[E]=y,x.pop(),a._cacheIndex=null;const z=a._clip.uuid,ee=this._actionsByClip,te=ee[z],ne=te.knownActions,ie=ne[ne.length-1],ae=a._byClipCacheIndex;ie._byClipCacheIndex=ae,ne[ae]=ie,ne.pop(),a._byClipCacheIndex=null;const oe=te.actionByRoot,le=(a._localRoot||this._root).uuid;delete oe[le],ne.length===0&&delete ee[z],this._removeInactiveBindingsForAction(a)}_removeInactiveBindingsForAction(a){const x=a._propertyBindings;for(let y=0,E=x.length;y!==E;++y){const z=x[y];--z.referenceCount===0&&this._removeInactiveBinding(z)}}_lendAction(a){const x=this._actions,y=a._cacheIndex,E=this._nActiveActions++,z=x[E];a._cacheIndex=E,x[E]=a,z._cacheIndex=y,x[y]=z}_takeBackAction(a){const x=this._actions,y=a._cacheIndex,E=--this._nActiveActions,z=x[E];a._cacheIndex=E,x[E]=a,z._cacheIndex=y,x[y]=z}_addInactiveBinding(a,x,y){const E=this._bindingsByRootAndName,z=this._bindings;let ee=E[x];ee===void 0&&(ee={},E[x]=ee),ee[y]=a,a._cacheIndex=z.length,z.push(a)}_removeInactiveBinding(a){const x=this._bindings,y=a.binding,E=y.rootNode.uuid,z=y.path,ee=this._bindingsByRootAndName,te=ee[E],ne=x[x.length-1],ie=a._cacheIndex;ne._cacheIndex=ie,x[ie]=ne,x.pop(),delete te[z],Object.keys(te).length===0&&delete ee[E]}_lendBinding(a){const x=this._bindings,y=a._cacheIndex,E=this._nActiveBindings++,z=x[E];a._cacheIndex=E,x[E]=a,z._cacheIndex=y,x[y]=z}_takeBackBinding(a){const x=this._bindings,y=a._cacheIndex,E=--this._nActiveBindings,z=x[E];a._cacheIndex=E,x[E]=a,z._cacheIndex=y,x[y]=z}_lendControlInterpolant(){const a=this._controlInterpolants,x=this._nActiveControlInterpolants++;let y=a[x];return y===void 0&&(y=new R8(new Float32Array(2),new Float32Array(2),1,oz),y.__cacheIndex=x,a[x]=y),y}_takeBackControlInterpolant(a){const x=this._controlInterpolants,y=a.__cacheIndex,E=--this._nActiveControlInterpolants,z=x[E];a.__cacheIndex=E,x[E]=a,z.__cacheIndex=y,x[y]=z}clipAction(a,x,y){const E=x||this._root,z=E.uuid;let ee=typeof a=="string"?lE.findByName(E,a):a;const te=ee!==null?ee.uuid:a,ne=this._actionsByClip[te];let ie=null;if(y===void 0&&(ee!==null?y=ee.blendMode:y=Bg),ne!==void 0){const oe=ne.actionByRoot[z];if(oe!==void 0&&oe.blendMode===y)return oe;ie=ne.knownActions[0],ee===null&&(ee=ie._clip)}if(ee===null)return null;const ae=new az(this,ee,x,y);return this._bindAction(ae,ie),this._addInactiveAction(ae,te,z),ae}existingAction(a,x){const y=x||this._root,E=y.uuid,z=typeof a=="string"?lE.findByName(y,a):a,ee=z?z.uuid:a,te=this._actionsByClip[ee];return te!==void 0&&te.actionByRoot[E]||null}stopAllAction(){const a=this._actions,x=this._nActiveActions;for(let y=x-1;y>=0;--y)a[y].stop();return this}update(a){a*=this.timeScale;const x=this._actions,y=this._nActiveActions,E=this.time+=a,z=Math.sign(a),ee=this._accuIndex^=1;for(let ie=0;ie!==y;++ie)x[ie]._update(E,a,z,ee);const te=this._bindings,ne=this._nActiveBindings;for(let ie=0;ie!==ne;++ie)te[ie].apply(ee);return this}setTime(a){this.time=0;for(let x=0;x<this._actions.length;x++)this._actions[x].time=0;return this.update(a)}getRoot(){return this._root}uncacheClip(a){const x=this._actions,y=a.uuid,E=this._actionsByClip,z=E[y];if(z!==void 0){const ee=z.knownActions;for(let te=0,ne=ee.length;te!==ne;++te){const ie=ee[te];this._deactivateAction(ie);const ae=ie._cacheIndex,oe=x[x.length-1];ie._cacheIndex=null,ie._byClipCacheIndex=null,oe._cacheIndex=ae,x[ae]=oe,x.pop(),this._removeInactiveBindingsForAction(ie)}delete E[y]}}uncacheRoot(a){const x=a.uuid,y=this._actionsByClip;for(const ee in y){const te=y[ee].actionByRoot,ne=te[x];ne!==void 0&&(this._deactivateAction(ne),this._removeInactiveAction(ne))}const E=this._bindingsByRootAndName,z=E[x];if(z!==void 0)for(const ee in z){const te=z[ee];te.restoreOriginalState(),this._removeInactiveBinding(te)}}uncacheAction(a,x){const y=this.existingAction(a,x);y!==null&&(this._deactivateAction(y),this._removeInactiveAction(y))}}class $ce extends null{constructor(a=1,x=1,y=1,E={}){super(a,x,E),this.isRenderTarget3D=!0,this.depth=y,this.texture=new VC(null,a,x,y),this._setTextureOptions(E),this.texture.isRenderTargetTexture=!0}}class $8{constructor(a){this.value=a}clone(){return new $8(this.value.clone===void 0?this.value:this.value.clone())}}let lz=0;class ede extends null{constructor(){super(),this.isUniformsGroup=!0,Object.defineProperty(this,"id",{value:lz++}),this.name="",this.usage=cu,this.uniforms=[]}add(a){return this.uniforms.push(a),this}remove(a){const x=this.uniforms.indexOf(a);return x!==-1&&this.uniforms.splice(x,1),this}setName(a){return this.name=a,this}setUsage(a){return this.usage=a,this}dispose(){this.dispatchEvent({type:"dispose"})}copy(a){this.name=a.name,this.usage=a.usage;const x=a.uniforms;this.uniforms.length=0;for(let y=0,E=x.length;y<E;y++){const z=Array.isArray(x[y])?x[y]:[x[y]];for(let ee=0;ee<z.length;ee++)this.uniforms.push(z[ee].clone())}return this}clone(){return new this.constructor().copy(this)}}class uz extends N1{constructor(a,x,y=1){super(a,x),this.isInstancedInterleavedBuffer=!0,this.meshPerAttribute=y}copy(a){return super.copy(a),this.meshPerAttribute=a.meshPerAttribute,this}clone(a){const x=super.clone(a);return x.meshPerAttribute=this.meshPerAttribute,x}toJSON(a){const x=super.toJSON(a);return x.isInstancedInterleavedBuffer=!0,x.meshPerAttribute=this.meshPerAttribute,x}}class tde{constructor(a,x,y,E,z,ee=!1){this.isGLBufferAttribute=!0,this.name="",this.buffer=a,this.type=x,this.itemSize=y,this.elementSize=E,this.count=z,this.normalized=ee,this.version=0}set needsUpdate(a){a===!0&&this.version++}setBuffer(a){return this.buffer=a,this}setType(a,x){return this.type=a,this.elementSize=x,this}setItemSize(a){return this.itemSize=a,this}setCount(a){return this.count=a,this}}const eM=new Fs;class tM{constructor(a,x,y=0,E=1/0){this.ray=new TA(a,x),this.near=y,this.far=E,this.camera=null,this.layers=new YC,this.params={Mesh:{},Line:{threshold:1},LOD:{},Points:{threshold:1},Sprite:{}}}set(a,x){this.ray.set(a,x)}setFromCamera(a,x){x.isPerspectiveCamera?(this.ray.origin.setFromMatrixPosition(x.matrixWorld),this.ray.direction.set(a.x,a.y,.5).unproject(x).sub(this.ray.origin).normalize(),this.camera=x):x.isOrthographicCamera?(this.ray.origin.set(a.x,a.y,(x.near+x.far)/(x.near-x.far)).unproject(x),this.ray.direction.set(0,0,-1).transformDirection(x.matrixWorld),this.camera=x):cr("Raycaster: Unsupported camera type: "+x.type)}setFromXRController(a){return eM.identity().extractRotation(a.matrixWorld),this.ray.origin.setFromMatrixPosition(a.matrixWorld),this.ray.direction.set(0,0,-1).applyMatrix4(eM),this}intersectObject(a,x=!0,y=[]){return o2(a,this,y,x),y.sort(nM),y}intersectObjects(a,x=!0,y=[]){for(let E=0,z=a.length;E<z;E++)o2(a[E],this,y,x);return y.sort(nM),y}}function nM(b,a){return b.distance-a.distance}function o2(b,a,x,y){let E=!0;if(b.layers.test(a.layers)&&b.raycast(a,x)===!1&&(E=!1),E===!0&&y===!0){const z=b.children;for(let ee=0,te=z.length;ee<te;ee++)o2(z[ee],a,x,!0)}}class nde{constructor(){this._previousTime=0,this._currentTime=0,this._startTime=performance.now(),this._delta=0,this._elapsed=0,this._timescale=1,this._document=null,this._pageVisibilityHandler=null}connect(a){this._document=a,a.hidden!==void 0&&(this._pageVisibilityHandler=cz.bind(this),a.addEventListener("visibilitychange",this._pageVisibilityHandler,!1))}disconnect(){this._pageVisibilityHandler!==null&&(this._document.removeEventListener("visibilitychange",this._pageVisibilityHandler),this._pageVisibilityHandler=null),this._document=null}getDelta(){return this._delta/1e3}getElapsed(){return this._elapsed/1e3}getTimescale(){return this._timescale}setTimescale(a){return this._timescale=a,this}reset(){return this._currentTime=performance.now()-this._startTime,this}dispose(){this.disconnect()}update(a){return this._pageVisibilityHandler!==null&&this._document.hidden===!0?this._delta=0:(this._previousTime=this._currentTime,this._currentTime=(a!==void 0?a:performance.now())-this._startTime,this._delta=(this._currentTime-this._previousTime)*this._timescale,this._elapsed+=this._delta),this}}function cz(){this._document.hidden===!1&&this.reset()}class rM{constructor(a=1,x=0,y=0){this.radius=a,this.phi=x,this.theta=y}set(a,x,y){return this.radius=a,this.phi=x,this.theta=y,this}copy(a){return this.radius=a.radius,this.phi=a.phi,this.theta=a.theta,this}makeSafe(){return this.phi=ta(this.phi,1e-6,Math.PI-1e-6),this}setFromVector3(a){return this.setFromCartesianCoords(a.x,a.y,a.z)}setFromCartesianCoords(a,x,y){return this.radius=Math.sqrt(a*a+x*x+y*y),this.radius===0?(this.theta=0,this.phi=0):(this.theta=Math.atan2(a,y),this.phi=Math.acos(ta(x/this.radius,-1,1))),this}clone(){return new this.constructor().copy(this)}}class rde{constructor(a=1,x=0,y=0){this.radius=a,this.theta=x,this.y=y}set(a,x,y){return this.radius=a,this.theta=x,this.y=y,this}copy(a){return this.radius=a.radius,this.theta=a.theta,this.y=a.y,this}setFromVector3(a){return this.setFromCartesianCoords(a.x,a.y,a.z)}setFromCartesianCoords(a,x,y){return this.radius=Math.sqrt(a*a+y*y),this.theta=Math.atan2(a,y),this.y=x,this}clone(){return new this.constructor().copy(this)}}class fE{constructor(a,x,y,E){fE.prototype.isMatrix2=!0,this.elements=[1,0,0,1],a!==void 0&&this.set(a,x,y,E)}identity(){return this.set(1,0,0,1),this}fromArray(a,x=0){for(let y=0;y<4;y++)this.elements[y]=a[y+x];return this}set(a,x,y,E){const z=this.elements;return z[0]=a,z[2]=x,z[1]=y,z[3]=E,this}}const iM=new ar;class ide{constructor(a=new ar(1/0,1/0),x=new ar(-1/0,-1/0)){this.isBox2=!0,this.min=a,this.max=x}set(a,x){return this.min.copy(a),this.max.copy(x),this}setFromPoints(a){this.makeEmpty();for(let x=0,y=a.length;x<y;x++)this.expandByPoint(a[x]);return this}setFromCenterAndSize(a,x){const y=iM.copy(x).multiplyScalar(.5);return this.min.copy(a).sub(y),this.max.copy(a).add(y),this}clone(){return new this.constructor().copy(this)}copy(a){return this.min.copy(a.min),this.max.copy(a.max),this}makeEmpty(){return this.min.x=this.min.y=1/0,this.max.x=this.max.y=-1/0,this}isEmpty(){return this.max.x<this.min.x||this.max.y<this.min.y}getCenter(a){return this.isEmpty()?a.set(0,0):a.addVectors(this.min,this.max).multiplyScalar(.5)}getSize(a){return this.isEmpty()?a.set(0,0):a.subVectors(this.max,this.min)}expandByPoint(a){return this.min.min(a),this.max.max(a),this}expandByVector(a){return this.min.sub(a),this.max.add(a),this}expandByScalar(a){return this.min.addScalar(-a),this.max.addScalar(a),this}containsPoint(a){return a.x>=this.min.x&&a.x<=this.max.x&&a.y>=this.min.y&&a.y<=this.max.y}containsBox(a){return this.min.x<=a.min.x&&a.max.x<=this.max.x&&this.min.y<=a.min.y&&a.max.y<=this.max.y}getParameter(a,x){return x.set((a.x-this.min.x)/(this.max.x-this.min.x),(a.y-this.min.y)/(this.max.y-this.min.y))}intersectsBox(a){return a.max.x>=this.min.x&&a.min.x<=this.max.x&&a.max.y>=this.min.y&&a.min.y<=this.max.y}clampPoint(a,x){return x.copy(a).clamp(this.min,this.max)}distanceToPoint(a){return this.clampPoint(a,iM).distanceTo(a)}intersect(a){return this.min.max(a.min),this.max.min(a.max),this.isEmpty()&&this.makeEmpty(),this}union(a){return this.min.min(a.min),this.max.max(a.max),this}translate(a){return this.min.add(a),this.max.add(a),this}equals(a){return a.min.equals(this.min)&&a.max.equals(this.max)}}const sM=new ft,hE=new ft,$A=new ft,ex=new ft,l2=new ft,dz=new ft,fz=new ft;class sde{constructor(a=new ft,x=new ft){this.start=a,this.end=x}set(a,x){return this.start.copy(a),this.end.copy(x),this}copy(a){return this.start.copy(a.start),this.end.copy(a.end),this}getCenter(a){return a.addVectors(this.start,this.end).multiplyScalar(.5)}delta(a){return a.subVectors(this.end,this.start)}distanceSq(){return this.start.distanceToSquared(this.end)}distance(){return this.start.distanceTo(this.end)}at(a,x){return this.delta(x).multiplyScalar(a).add(this.start)}closestPointToPointParameter(a,x){sM.subVectors(a,this.start),hE.subVectors(this.end,this.start);const y=hE.dot(hE);let z=hE.dot(sM)/y;return x&&(z=ta(z,0,1)),z}closestPointToPoint(a,x,y){const E=this.closestPointToPointParameter(a,x);return this.delta(y).multiplyScalar(E).add(this.start)}distanceSqToLine3(a,x=dz,y=fz){const E=10000000000000001e-32;let z,ee;const te=this.start,ne=a.start,ie=this.end,ae=a.end;$A.subVectors(ie,te),ex.subVectors(ae,ne),l2.subVectors(te,ne);const oe=$A.dot($A),le=ex.dot(ex),ue=ex.dot(l2);if(oe<=E&&le<=E)return x.copy(te),y.copy(ne),x.sub(y),x.dot(x);if(oe<=E)z=0,ee=ue/le,ee=ta(ee,0,1);else{const he=$A.dot(l2);if(le<=E)ee=0,z=ta(-he/oe,0,1);else{const xe=$A.dot(ex),ve=oe*le-xe*xe;ve!==0?z=ta((xe*ue-he*le)/ve,0,1):z=0,ee=(xe*z+ue)/le,ee<0?(ee=0,z=ta(-he/oe,0,1)):ee>1&&(ee=1,z=ta((xe-he)/oe,0,1))}}return x.copy(te).add($A.multiplyScalar(z)),y.copy(ne).add(ex.multiplyScalar(ee)),x.sub(y),x.dot(x)}applyMatrix4(a){return this.start.applyMatrix4(a),this.end.applyMatrix4(a),this}equals(a){return a.start.equals(this.start)&&a.end.equals(this.end)}clone(){return new this.constructor().copy(this)}}const aM=new ft;class ade extends null{constructor(a,x){super(),this.light=a,this.matrixAutoUpdate=!1,this.color=x,this.type="SpotLightHelper";const y=new io,E=[0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,-1,0,1,0,0,0,0,1,1,0,0,0,0,-1,1];for(let ee=0,te=1,ne=32;ee<ne;ee++,te++){const ie=ee/ne*Math.PI*2,ae=te/ne*Math.PI*2;E.push(Math.cos(ie),Math.sin(ie),1,Math.cos(ae),Math.sin(ae),1)}y.setAttribute("position",new Ls(E,3));const z=new Jd({fog:!1,toneMapped:!1});this.cone=new o8(y,z),this.add(this.cone),this.update()}dispose(){this.cone.geometry.dispose(),this.cone.material.dispose()}update(){this.light.updateWorldMatrix(!0,!1),this.light.target.updateWorldMatrix(!0,!1),this.parent?(this.parent.updateWorldMatrix(!0),this.matrix.copy(this.parent.matrixWorld).invert().multiply(this.light.matrixWorld)):this.matrix.copy(this.light.matrixWorld),this.matrixWorld.copy(this.light.matrixWorld);const a=this.light.distance?this.light.distance:1e3,x=a*Math.tan(this.light.angle);this.cone.scale.set(x,x,a),aM.setFromMatrixPosition(this.light.target.matrixWorld),this.cone.lookAt(aM),this.color!==void 0?this.cone.material.color.set(this.color):this.cone.material.color.copy(this.light.color)}}const z0=new ft,pE=new Fs,u2=new Fs;class ode extends null{constructor(a){const x=oM(a),y=new io,E=[],z=[];for(let ie=0;ie<x.length;ie++){const ae=x[ie];ae.parent&&ae.parent.isBone&&(E.push(0,0,0),E.push(0,0,0),z.push(0,0,0),z.push(0,0,0))}y.setAttribute("position",new Ls(E,3)),y.setAttribute("color",new Ls(z,3));const ee=new Jd({vertexColors:!0,depthTest:!1,depthWrite:!1,toneMapped:!1,transparent:!0});super(y,ee),this.isSkeletonHelper=!0,this.type="SkeletonHelper",this.root=a,this.bones=x,this.matrix=a.matrixWorld,this.matrixAutoUpdate=!1;const te=new Ki(255),ne=new Ki(65280);this.setColors(te,ne)}updateMatrixWorld(a){const x=this.bones,y=this.geometry,E=y.getAttribute("position");u2.copy(this.root.matrixWorld).invert();for(let z=0,ee=0;z<x.length;z++){const te=x[z];te.parent&&te.parent.isBone&&(pE.multiplyMatrices(u2,te.matrixWorld),z0.setFromMatrixPosition(pE),E.setXYZ(ee,z0.x,z0.y,z0.z),pE.multiplyMatrices(u2,te.parent.matrixWorld),z0.setFromMatrixPosition(pE),E.setXYZ(ee+1,z0.x,z0.y,z0.z),ee+=2)}y.getAttribute("position").needsUpdate=!0,super.updateMatrixWorld(a)}setColors(a,x){const E=this.geometry.getAttribute("color");for(let z=0;z<E.count;z+=2)E.setXYZ(z,a.r,a.g,a.b),E.setXYZ(z+1,x.r,x.g,x.b);return E.needsUpdate=!0,this}dispose(){this.geometry.dispose(),this.material.dispose()}}function oM(b){const a=[];b.isBone===!0&&a.push(b);for(let x=0;x<b.children.length;x++)a.push(...oM(b.children[x]));return a}class lde extends null{constructor(a,x,y){const E=new Qp(x,4,2),z=new od({wireframe:!0,fog:!1,toneMapped:!1});super(E,z),this.light=a,this.color=y,this.type="PointLightHelper",this.matrix=this.light.matrixWorld,this.matrixAutoUpdate=!1,this.update()}dispose(){this.geometry.dispose(),this.material.dispose()}update(){this.light.updateWorldMatrix(!0,!1),this.color!==void 0?this.material.color.set(this.color):this.material.color.copy(this.light.color)}}const hz=new ft,lM=new Ki,uM=new Ki;class ude extends null{constructor(a,x,y){super(),this.light=a,this.matrix=a.matrixWorld,this.matrixAutoUpdate=!1,this.color=y,this.type="HemisphereLightHelper";const E=new nE(x);E.rotateY(Math.PI*.5),this.material=new od({wireframe:!0,fog:!1,toneMapped:!1}),this.color===void 0&&(this.material.vertexColors=!0);const z=E.getAttribute("position"),ee=new Float32Array(z.count*3);E.setAttribute("color",new ql(ee,3)),this.add(new Il(E,this.material)),this.update()}dispose(){this.children[0].geometry.dispose(),this.children[0].material.dispose()}update(){const a=this.children[0];if(this.color!==void 0)this.material.color.set(this.color);else{const x=a.geometry.getAttribute("color");lM.copy(this.light.color),uM.copy(this.light.groundColor);for(let y=0,E=x.count;y<E;y++){const z=y<E/2?lM:uM;x.setXYZ(y,z.r,z.g,z.b)}x.needsUpdate=!0}this.light.updateWorldMatrix(!0,!1),a.lookAt(hz.setFromMatrixPosition(this.light.matrixWorld).negate())}}class cde extends null{constructor(a=10,x=10,y=4473924,E=8947848){y=new Ki(y),E=new Ki(E);const z=x/2,ee=a/x,te=a/2,ne=[],ie=[];for(let le=0,ue=0,he=-te;le<=x;le++,he+=ee){ne.push(-te,0,he,te,0,he),ne.push(he,0,-te,he,0,te);const xe=le===z?y:E;xe.toArray(ie,ue),ue+=3,xe.toArray(ie,ue),ue+=3,xe.toArray(ie,ue),ue+=3,xe.toArray(ie,ue),ue+=3}const ae=new io;ae.setAttribute("position",new Ls(ne,3)),ae.setAttribute("color",new Ls(ie,3));const oe=new Jd({vertexColors:!0,toneMapped:!1});super(ae,oe),this.type="GridHelper"}dispose(){this.geometry.dispose(),this.material.dispose()}}class dde extends null{constructor(a=10,x=16,y=8,E=64,z=4473924,ee=8947848){z=new Ki(z),ee=new Ki(ee);const te=[],ne=[];if(x>1)for(let oe=0;oe<x;oe++){const le=oe/x*(Math.PI*2),ue=Math.sin(le)*a,he=Math.cos(le)*a;te.push(0,0,0),te.push(ue,0,he);const xe=oe&1?z:ee;ne.push(xe.r,xe.g,xe.b),ne.push(xe.r,xe.g,xe.b)}for(let oe=0;oe<y;oe++){const le=oe&1?z:ee,ue=a-a/y*oe;for(let he=0;he<E;he++){let xe=he/E*(Math.PI*2),ve=Math.sin(xe)*ue,me=Math.cos(xe)*ue;te.push(ve,0,me),ne.push(le.r,le.g,le.b),xe=(he+1)/E*(Math.PI*2),ve=Math.sin(xe)*ue,me=Math.cos(xe)*ue,te.push(ve,0,me),ne.push(le.r,le.g,le.b)}}const ie=new io;ie.setAttribute("position",new Ls(te,3)),ie.setAttribute("color",new Ls(ne,3));const ae=new Jd({vertexColors:!0,toneMapped:!1});super(ie,ae),this.type="PolarGridHelper"}dispose(){this.geometry.dispose(),this.material.dispose()}}const cM=new ft,mE=new ft,dM=new ft;class fde extends null{constructor(a,x,y){super(),this.light=a,this.matrix=a.matrixWorld,this.matrixAutoUpdate=!1,this.color=y,this.type="DirectionalLightHelper",x===void 0&&(x=1);let E=new io;E.setAttribute("position",new Ls([-x,x,0,x,x,0,x,-x,0,-x,-x,0,-x,x,0],3));const z=new Jd({fog:!1,toneMapped:!1});this.lightPlane=new uy(E,z),this.add(this.lightPlane),E=new io,E.setAttribute("position",new Ls([0,0,0,0,0,1],3)),this.targetLine=new uy(E,z),this.add(this.targetLine),this.update()}dispose(){this.lightPlane.geometry.dispose(),this.lightPlane.material.dispose(),this.targetLine.geometry.dispose(),this.targetLine.material.dispose()}update(){this.light.updateWorldMatrix(!0,!1),this.light.target.updateWorldMatrix(!0,!1),cM.setFromMatrixPosition(this.light.matrixWorld),mE.setFromMatrixPosition(this.light.target.matrixWorld),dM.subVectors(mE,cM),this.lightPlane.lookAt(mE),this.color!==void 0?(this.lightPlane.material.color.set(this.color),this.targetLine.material.color.set(this.color)):(this.lightPlane.material.color.copy(this.light.color),this.targetLine.material.color.copy(this.light.color)),this.targetLine.lookAt(mE),this.targetLine.scale.z=dM.length()}}const gE=new ft,Yu=new D1;class hde extends null{constructor(a){const x=new io,y=new Jd({color:16777215,vertexColors:!0,toneMapped:!1}),E=[],z=[],ee={};te("n1","n2"),te("n2","n4"),te("n4","n3"),te("n3","n1"),te("f1","f2"),te("f2","f4"),te("f4","f3"),te("f3","f1"),te("n1","f1"),te("n2","f2"),te("n3","f3"),te("n4","f4"),te("p","n1"),te("p","n2"),te("p","n3"),te("p","n4"),te("u1","u2"),te("u2","u3"),te("u3","u1"),te("c","t"),te("p","c"),te("cn1","cn2"),te("cn3","cn4"),te("cf1","cf2"),te("cf3","cf4");function te(he,xe){ne(he),ne(xe)}function ne(he){E.push(0,0,0),z.push(0,0,0),ee[he]===void 0&&(ee[he]=[]),ee[he].push(E.length/3-1)}x.setAttribute("position",new Ls(E,3)),x.setAttribute("color",new Ls(z,3)),super(x,y),this.type="CameraHelper",this.camera=a,this.camera.updateProjectionMatrix&&this.camera.updateProjectionMatrix(),this.matrix=a.matrixWorld,this.matrixAutoUpdate=!1,this.pointMap=ee,this.update();const ie=new Ki(16755200),ae=new Ki(16711680),oe=new Ki(43775),le=new Ki(16777215),ue=new Ki(3355443);this.setColors(ie,ae,oe,le,ue)}setColors(a,x,y,E,z){const te=this.geometry.getAttribute("color");return te.setXYZ(0,a.r,a.g,a.b),te.setXYZ(1,a.r,a.g,a.b),te.setXYZ(2,a.r,a.g,a.b),te.setXYZ(3,a.r,a.g,a.b),te.setXYZ(4,a.r,a.g,a.b),te.setXYZ(5,a.r,a.g,a.b),te.setXYZ(6,a.r,a.g,a.b),te.setXYZ(7,a.r,a.g,a.b),te.setXYZ(8,a.r,a.g,a.b),te.setXYZ(9,a.r,a.g,a.b),te.setXYZ(10,a.r,a.g,a.b),te.setXYZ(11,a.r,a.g,a.b),te.setXYZ(12,a.r,a.g,a.b),te.setXYZ(13,a.r,a.g,a.b),te.setXYZ(14,a.r,a.g,a.b),te.setXYZ(15,a.r,a.g,a.b),te.setXYZ(16,a.r,a.g,a.b),te.setXYZ(17,a.r,a.g,a.b),te.setXYZ(18,a.r,a.g,a.b),te.setXYZ(19,a.r,a.g,a.b),te.setXYZ(20,a.r,a.g,a.b),te.setXYZ(21,a.r,a.g,a.b),te.setXYZ(22,a.r,a.g,a.b),te.setXYZ(23,a.r,a.g,a.b),te.setXYZ(24,x.r,x.g,x.b),te.setXYZ(25,x.r,x.g,x.b),te.setXYZ(26,x.r,x.g,x.b),te.setXYZ(27,x.r,x.g,x.b),te.setXYZ(28,x.r,x.g,x.b),te.setXYZ(29,x.r,x.g,x.b),te.setXYZ(30,x.r,x.g,x.b),te.setXYZ(31,x.r,x.g,x.b),te.setXYZ(32,y.r,y.g,y.b),te.setXYZ(33,y.r,y.g,y.b),te.setXYZ(34,y.r,y.g,y.b),te.setXYZ(35,y.r,y.g,y.b),te.setXYZ(36,y.r,y.g,y.b),te.setXYZ(37,y.r,y.g,y.b),te.setXYZ(38,E.r,E.g,E.b),te.setXYZ(39,E.r,E.g,E.b),te.setXYZ(40,z.r,z.g,z.b),te.setXYZ(41,z.r,z.g,z.b),te.setXYZ(42,z.r,z.g,z.b),te.setXYZ(43,z.r,z.g,z.b),te.setXYZ(44,z.r,z.g,z.b),te.setXYZ(45,z.r,z.g,z.b),te.setXYZ(46,z.r,z.g,z.b),te.setXYZ(47,z.r,z.g,z.b),te.setXYZ(48,z.r,z.g,z.b),te.setXYZ(49,z.r,z.g,z.b),te.needsUpdate=!0,this}update(){const a=this.geometry,x=this.pointMap,y=1,E=1;let z,ee;if(Yu.projectionMatrixInverse.copy(this.camera.projectionMatrixInverse),this.camera.reversedDepth===!0)z=1,ee=0;else if(this.camera.coordinateSystem===It)z=-1,ee=1;else if(this.camera.coordinateSystem===bt)z=0,ee=1;else throw new Error("THREE.CameraHelper.update(): Invalid coordinate system: "+this.camera.coordinateSystem);vc("c",x,a,Yu,0,0,z),vc("t",x,a,Yu,0,0,ee),vc("n1",x,a,Yu,-y,-E,z),vc("n2",x,a,Yu,y,-E,z),vc("n3",x,a,Yu,-y,E,z),vc("n4",x,a,Yu,y,E,z),vc("f1",x,a,Yu,-y,-E,ee),vc("f2",x,a,Yu,y,-E,ee),vc("f3",x,a,Yu,-y,E,ee),vc("f4",x,a,Yu,y,E,ee),vc("u1",x,a,Yu,y*.7,E*1.1,z),vc("u2",x,a,Yu,-y*.7,E*1.1,z),vc("u3",x,a,Yu,0,E*2,z),vc("cf1",x,a,Yu,-y,0,ee),vc("cf2",x,a,Yu,y,0,ee),vc("cf3",x,a,Yu,0,-E,ee),vc("cf4",x,a,Yu,0,E,ee),vc("cn1",x,a,Yu,-y,0,z),vc("cn2",x,a,Yu,y,0,z),vc("cn3",x,a,Yu,0,-E,z),vc("cn4",x,a,Yu,0,E,z),a.getAttribute("position").needsUpdate=!0}dispose(){this.geometry.dispose(),this.material.dispose()}}function vc(b,a,x,y,E,z,ee){gE.set(E,z,ee).unproject(y);const te=a[b];if(te!==void 0){const ne=x.getAttribute("position");for(let ie=0,ae=te.length;ie<ae;ie++)ne.setXYZ(te[ie],gE.x,gE.y,gE.z)}}const vE=new wd;class pde extends null{constructor(a,x=16776960){const y=new Uint16Array([0,1,1,2,2,3,3,0,4,5,5,6,6,7,7,4,0,4,1,5,2,6,3,7]),E=new Float32Array(8*3),z=new io;z.setIndex(new ql(y,1)),z.setAttribute("position",new ql(E,3)),super(z,new Jd({color:x,toneMapped:!1})),this.object=a,this.type="BoxHelper",this.matrixAutoUpdate=!1,this.update()}update(){if(this.object!==void 0&&vE.setFromObject(this.object),vE.isEmpty())return;const a=vE.min,x=vE.max,y=this.geometry.attributes.position,E=y.array;E[0]=x.x,E[1]=x.y,E[2]=x.z,E[3]=a.x,E[4]=x.y,E[5]=x.z,E[6]=a.x,E[7]=a.y,E[8]=x.z,E[9]=x.x,E[10]=a.y,E[11]=x.z,E[12]=x.x,E[13]=x.y,E[14]=a.z,E[15]=a.x,E[16]=x.y,E[17]=a.z,E[18]=a.x,E[19]=a.y,E[20]=a.z,E[21]=x.x,E[22]=a.y,E[23]=a.z,y.needsUpdate=!0,this.geometry.computeBoundingSphere()}setFromObject(a){return this.object=a,this.update(),this}copy(a,x){return super.copy(a,x),this.object=a.object,this}dispose(){this.geometry.dispose(),this.material.dispose()}}class mde extends null{constructor(a,x=16776960){const y=new Uint16Array([0,1,1,2,2,3,3,0,4,5,5,6,6,7,7,4,0,4,1,5,2,6,3,7]),E=[1,1,1,-1,1,1,-1,-1,1,1,-1,1,1,1,-1,-1,1,-1,-1,-1,-1,1,-1,-1],z=new io;z.setIndex(new ql(y,1)),z.setAttribute("position",new Ls(E,3)),super(z,new Jd({color:x,toneMapped:!1})),this.box=a,this.type="Box3Helper",this.geometry.computeBoundingSphere()}updateMatrixWorld(a){const x=this.box;x.isEmpty()||(x.getCenter(this.position),x.getSize(this.scale),this.scale.multiplyScalar(.5),super.updateMatrixWorld(a))}dispose(){this.geometry.dispose(),this.material.dispose()}}class gde extends null{constructor(a,x=1,y=16776960){const E=y,z=[1,-1,0,-1,1,0,-1,-1,0,1,1,0,-1,1,0,-1,-1,0,1,-1,0,1,1,0],ee=new io;ee.setAttribute("position",new Ls(z,3)),ee.computeBoundingSphere(),super(ee,new Jd({color:E,toneMapped:!1})),this.type="PlaneHelper",this.plane=a,this.size=x;const te=[1,1,0,-1,1,0,-1,-1,0,1,1,0,-1,-1,0,1,-1,0],ne=new io;ne.setAttribute("position",new Ls(te,3)),ne.computeBoundingSphere(),this.add(new Il(ne,new od({color:E,opacity:.2,transparent:!0,depthWrite:!1,toneMapped:!1})))}updateMatrixWorld(a){this.position.set(0,0,0),this.scale.set(.5*this.size,.5*this.size,1),this.lookAt(this.plane.normal),this.translateZ(-this.plane.constant),super.updateMatrixWorld(a)}dispose(){this.geometry.dispose(),this.material.dispose(),this.children[0].geometry.dispose(),this.children[0].material.dispose()}}const fM=new ft;let AE,c2;class vde extends null{constructor(a=new ft(0,0,1),x=new ft(0,0,0),y=1,E=16776960,z=y*.2,ee=z*.2){super(),this.type="ArrowHelper",AE===void 0&&(AE=new io,AE.setAttribute("position",new Ls([0,0,0,0,1,0],3)),c2=new cy(.5,1,5,1),c2.translate(0,-.5,0)),this.position.copy(x),this.line=new uy(AE,new Jd({color:E,toneMapped:!1})),this.line.matrixAutoUpdate=!1,this.add(this.line),this.cone=new Il(c2,new od({color:E,toneMapped:!1})),this.cone.matrixAutoUpdate=!1,this.add(this.cone),this.setDirection(a),this.setLength(y,z,ee)}setDirection(a){if(a.y>.99999)this.quaternion.set(0,0,0,1);else if(a.y<-.99999)this.quaternion.set(1,0,0,0);else{fM.set(a.z,0,-a.x).normalize();const x=Math.acos(a.y);this.quaternion.setFromAxisAngle(fM,x)}}setLength(a,x=a*.2,y=x*.2){this.line.scale.set(1,Math.max(1e-4,a-x),1),this.line.updateMatrix(),this.cone.scale.set(y,x,y),this.cone.position.y=a,this.cone.updateMatrix()}setColor(a){this.line.material.color.set(a),this.cone.material.color.set(a)}copy(a){return super.copy(a,!1),this.line.copy(a.line),this.cone.copy(a.cone),this}dispose(){this.line.geometry.dispose(),this.line.material.dispose(),this.cone.geometry.dispose(),this.cone.material.dispose()}}class Ade extends null{constructor(a=1){const x=[0,0,0,a,0,0,0,0,0,0,a,0,0,0,0,0,0,a],y=[1,0,0,1,.6,0,0,1,0,.6,1,0,0,0,1,0,.6,1],E=new io;E.setAttribute("position",new Ls(x,3)),E.setAttribute("color",new Ls(y,3));const z=new Jd({vertexColors:!0,toneMapped:!1});super(E,z),this.type="AxesHelper"}setColors(a,x,y){const E=new Ki,z=this.geometry.attributes.color.array;return E.set(a),E.toArray(z,0),E.toArray(z,3),E.set(x),E.toArray(z,6),E.toArray(z,9),E.set(y),E.toArray(z,12),E.toArray(z,15),this.geometry.attributes.color.needsUpdate=!0,this}dispose(){this.geometry.dispose(),this.material.dispose()}}class xde{constructor(){this.type="ShapePath",this.color=new Ki,this.subPaths=[],this.currentPath=null}moveTo(a,x){return this.currentPath=new N3,this.subPaths.push(this.currentPath),this.currentPath.moveTo(a,x),this}lineTo(a,x){return this.currentPath.lineTo(a,x),this}quadraticCurveTo(a,x,y,E){return this.currentPath.quadraticCurveTo(a,x,y,E),this}bezierCurveTo(a,x,y,E,z,ee){return this.currentPath.bezierCurveTo(a,x,y,E,z,ee),this}splineThru(a){return this.currentPath.splineThru(a),this}toShapes(a){function x(me){const Pe=[];for(let we=0,Me=me.length;we<Me;we++){const Le=me[we],De=new QA;De.curves=Le.curves,Pe.push(De)}return Pe}function y(me,Pe){const we=Pe.length;let Me=!1;for(let Le=we-1,De=0;De<we;Le=De++){let ke=Pe[Le],ze=Pe[De],He=ze.x-ke.x,Re=ze.y-ke.y;if(Math.abs(Re)>Number.EPSILON){if(Re<0&&(ke=Pe[De],He=-He,ze=Pe[Le],Re=-Re),me.y<ke.y||me.y>ze.y)continue;if(me.y===ke.y){if(me.x===ke.x)return!0}else{const Fe=Re*(me.x-ke.x)-He*(me.y-ke.y);if(Fe===0)return!0;if(Fe<0)continue;Me=!Me}}else{if(me.y!==ke.y)continue;if(ze.x<=me.x&&me.x<=ke.x||ke.x<=me.x&&me.x<=ze.x)return!0}}return Me}const E=Lm.isClockWise,z=this.subPaths;if(z.length===0)return[];let ee,te,ne;const ie=[];if(z.length===1)return te=z[0],ne=new QA,ne.curves=te.curves,ie.push(ne),ie;let ae=!E(z[0].getPoints());ae=a?!ae:ae;const oe=[],le=[];let ue=[],he=0,xe;le[he]=void 0,ue[he]=[];for(let me=0,Pe=z.length;me<Pe;me++)te=z[me],xe=te.getPoints(),ee=E(xe),ee=a?!ee:ee,ee?(!ae&&le[he]&&he++,le[he]={s:new QA,p:xe},le[he].s.curves=te.curves,ae&&he++,ue[he]=[]):ue[he].push({h:te,p:xe[0]});if(!le[0])return x(z);if(le.length>1){let me=!1,Pe=0;for(let we=0,Me=le.length;we<Me;we++)oe[we]=[];for(let we=0,Me=le.length;we<Me;we++){const Le=ue[we];for(let De=0;De<Le.length;De++){const ke=Le[De];let ze=!0;for(let He=0;He<le.length;He++)y(ke.p,le[He].p)&&(we!==He&&Pe++,ze?(ze=!1,oe[He].push(ke)):me=!0);ze&&oe[we].push(ke)}}Pe>0&&me===!1&&(ue=oe)}let ve;for(let me=0,Pe=le.length;me<Pe;me++){ne=le[me].s,ie.push(ne),ve=ue[me];for(let we=0,Me=ve.length;we<Me;we++)ne.holes.push(ve[we].h)}return ie}}class xE extends Qu{constructor(a,x=null){super(),this.object=a,this.domElement=x,this.enabled=!0,this.state=-1,this.keys={},this.mouseButtons={LEFT:null,MIDDLE:null,RIGHT:null},this.touches={ONE:null,TWO:null}}connect(a){if(a===void 0){wn("Controls: connect() now requires an element.");return}this.domElement!==null&&this.disconnect(),this.domElement=a}disconnect(){}dispose(){}update(){}}function pz(b,a){const x=b.image&&b.image.width?b.image.width/b.image.height:1;return x>a?(b.repeat.x=1,b.repeat.y=x/a,b.offset.x=0,b.offset.y=(1-b.repeat.y)/2):(b.repeat.x=a/x,b.repeat.y=1,b.offset.x=(1-b.repeat.x)/2,b.offset.y=0),b}function mz(b,a){const x=b.image&&b.image.width?b.image.width/b.image.height:1;return x>a?(b.repeat.x=a/x,b.repeat.y=1,b.offset.x=(1-b.repeat.x)/2,b.offset.y=0):(b.repeat.x=1,b.repeat.y=x/a,b.offset.x=0,b.offset.y=(1-b.repeat.y)/2),b}function gz(b){return b.repeat.x=1,b.repeat.y=1,b.offset.x=0,b.offset.y=0,b}function yE(b,a,x,y){const E=vz(y);switch(x){case cv:return b*a;case Lf:return b*a/E.components*E.byteLength;case gf:return b*a/E.components*E.byteLength;case vf:return b*a*2/E.components*E.byteLength;case Np:return b*a*2/E.components*E.byteLength;case bm:return b*a*3/E.components*E.byteLength;case El:return b*a*4/E.components*E.byteLength;case Fp:return b*a*4/E.components*E.byteLength;case jh:case Vh:return Math.floor((b+3)/4)*Math.floor((a+3)/4)*8;case fh:case Gh:return Math.floor((b+3)/4)*Math.floor((a+3)/4)*16;case Em:case wm:return Math.max(b,16)*Math.max(a,8)/4;case hh:case Xh:return Math.max(b,8)*Math.max(a,8)/2;case Cm:case Pm:return Math.floor((b+3)/4)*Math.floor((a+3)/4)*8;case Af:return Math.floor((b+3)/4)*Math.floor((a+3)/4)*16;case ph:return Math.floor((b+3)/4)*Math.floor((a+3)/4)*16;case mh:return Math.floor((b+4)/5)*Math.floor((a+3)/4)*16;case Sm:return Math.floor((b+4)/5)*Math.floor((a+4)/5)*16;case Bm:return Math.floor((b+5)/6)*Math.floor((a+4)/5)*16;case Lp:return Math.floor((b+5)/6)*Math.floor((a+5)/6)*16;case el:return Math.floor((b+7)/8)*Math.floor((a+4)/5)*16;case Rp:return Math.floor((b+7)/8)*Math.floor((a+5)/6)*16;case Wh:return Math.floor((b+7)/8)*Math.floor((a+7)/8)*16;case xf:return Math.floor((b+9)/10)*Math.floor((a+4)/5)*16;case Vc:return Math.floor((b+9)/10)*Math.floor((a+5)/6)*16;case yf:return Math.floor((b+9)/10)*Math.floor((a+7)/8)*16;case Qh:return Math.floor((b+9)/10)*Math.floor((a+9)/10)*16;case Op:return Math.floor((b+11)/12)*Math.floor((a+9)/10)*16;case zp:return Math.floor((b+11)/12)*Math.floor((a+11)/12)*16;case kp:case C0:case P0:return Math.ceil(b/4)*Math.ceil(a/4)*16;case Mm:case gh:return Math.ceil(b/4)*Math.ceil(a/4)*8;case Rf:case bo:return Math.ceil(b/4)*Math.ceil(a/4)*16}throw new Error(`Unable to determine texture byte length for ${x} format.`)}function vz(b){switch(b){case yl:case Uh:return{byteLength:1,components:1};case Xd:case dh:case bl:return{byteLength:2,components:1};case wg:case Cg:return{byteLength:2,components:4};case fl:case pu:case zl:return{byteLength:4,components:1};case ym:case Pg:return{byteLength:4,components:3}}throw new Error(`Unknown texture type ${b}.`)}class yde{static contain(a,x){return pz(a,x)}static cover(a,x){return mz(a,x)}static fill(a){return gz(a)}static getByteLength(a,x,y,E){return yE(a,x,y,E)}}typeof __THREE_DEVTOOLS__!="undefined"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("register",{detail:{revision:Jo}})),typeof window!="undefined"&&(window.__THREE__?wn("WARNING: Multiple instances of Three.js being imported."):window.__THREE__=Jo);const tx=new Wp,Vg=new ar,hM=new ft,d2=new ar,bE=new ar,EE=new ft,f2=new ft,pM=new Fs,mM=new ft,gM=new ft;let Kd=null,Rm=null;const Gg=[],k0={NONE:-1,PAN:0,ROTATE:1};class Az extends xE{constructor(a,x,y=null){super(x,y),this.objects=a,this.recursive=!0,this.transformGroup=!1,this.rotateSpeed=1,this.raycaster=new tM,this.mouseButtons={LEFT:Xo.PAN,MIDDLE:Xo.PAN,RIGHT:Xo.ROTATE},this.touches={ONE:Al.PAN},this._onPointerMove=xz.bind(this),this._onPointerDown=yz.bind(this),this._onPointerCancel=bz.bind(this),this._onContextMenu=Ez.bind(this),y!==null&&this.connect(y)}connect(a){super.connect(a),this.domElement.addEventListener("pointermove",this._onPointerMove),this.domElement.addEventListener("pointerdown",this._onPointerDown),this.domElement.addEventListener("pointerup",this._onPointerCancel),this.domElement.addEventListener("pointerleave",this._onPointerCancel),this.domElement.addEventListener("contextmenu",this._onContextMenu),this.domElement.style.touchAction="none"}disconnect(){this.domElement.removeEventListener("pointermove",this._onPointerMove),this.domElement.removeEventListener("pointerdown",this._onPointerDown),this.domElement.removeEventListener("pointerup",this._onPointerCancel),this.domElement.removeEventListener("pointerleave",this._onPointerCancel),this.domElement.removeEventListener("contextmenu",this._onContextMenu),this.domElement.style.touchAction="auto",this.domElement.style.cursor=""}dispose(){this.disconnect()}_updatePointer(a){const x=this.domElement.getBoundingClientRect();Vg.x=(a.clientX-x.left)/x.width*2-1,Vg.y=-(a.clientY-x.top)/x.height*2+1}_updateState(a){let x;if(a.pointerType==="touch")x=this.touches.ONE;else switch(a.button){case 0:x=this.mouseButtons.LEFT;break;case 1:x=this.mouseButtons.MIDDLE;break;case 2:x=this.mouseButtons.RIGHT;break;default:x=null}switch(x){case Xo.PAN:case Al.PAN:this.state=k0.PAN;break;case Xo.ROTATE:case Al.ROTATE:this.state=k0.ROTATE;break;default:this.state=k0.NONE}}}function xz(b){const a=this.object,x=this.domElement,y=this.raycaster;if(this.enabled!==!1){if(this._updatePointer(b),y.setFromCamera(Vg,a),Kd)this.state===k0.PAN?y.ray.intersectPlane(tx,EE)&&(Kd.position.copy(EE.sub(hM).applyMatrix4(pM)),this.dispatchEvent({type:"drag",object:Kd})):this.state===k0.ROTATE&&(d2.subVectors(Vg,bE).multiplyScalar(this.rotateSpeed),Kd.rotateOnWorldAxis(mM,d2.x),Kd.rotateOnWorldAxis(gM.normalize(),-d2.y),this.dispatchEvent({type:"drag",object:Kd})),bE.copy(Vg);else if(b.pointerType==="mouse"||b.pointerType==="pen")if(Gg.length=0,y.setFromCamera(Vg,a),y.intersectObjects(this.objects,this.recursive,Gg),Gg.length>0){const E=Gg[0].object;tx.setFromNormalAndCoplanarPoint(a.getWorldDirection(tx.normal),f2.setFromMatrixPosition(E.matrixWorld)),Rm!==E&&Rm!==null&&(this.dispatchEvent({type:"hoveroff",object:Rm}),x.style.cursor="auto",Rm=null),Rm!==E&&(this.dispatchEvent({type:"hoveron",object:E}),x.style.cursor="pointer",Rm=E)}else Rm!==null&&(this.dispatchEvent({type:"hoveroff",object:Rm}),x.style.cursor="auto",Rm=null);bE.copy(Vg)}}function yz(b){const a=this.object,x=this.domElement,y=this.raycaster;this.enabled!==!1&&(this._updatePointer(b),this._updateState(b),Gg.length=0,y.setFromCamera(Vg,a),y.intersectObjects(this.objects,this.recursive,Gg),Gg.length>0&&(this.transformGroup===!0?Kd=vM(Gg[0].object):Kd=Gg[0].object,tx.setFromNormalAndCoplanarPoint(a.getWorldDirection(tx.normal),f2.setFromMatrixPosition(Kd.matrixWorld)),y.ray.intersectPlane(tx,EE)&&(this.state===k0.PAN?(pM.copy(Kd.parent.matrixWorld).invert(),hM.copy(EE).sub(f2.setFromMatrixPosition(Kd.matrixWorld)),x.style.cursor="move",this.dispatchEvent({type:"dragstart",object:Kd})):this.state===k0.ROTATE&&(mM.set(0,1,0).applyQuaternion(a.quaternion).normalize(),gM.set(1,0,0).applyQuaternion(a.quaternion).normalize(),x.style.cursor="move",this.dispatchEvent({type:"dragstart",object:Kd})))),bE.copy(Vg))}function bz(){this.enabled!==!1&&(Kd&&(this.dispatchEvent({type:"dragend",object:Kd}),Kd=null),this.domElement.style.cursor=Rm?"pointer":"auto",this.state=k0.NONE)}function 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z.min[E]}),Kk(y,function(z){return z.max[E]})])}))):null}},stateInit:function(){return{d3ForceLayout:bM().force("link",wM()).force("charge",MM()).force("center",TM()).force("dagRadial",null).stop(),engineRunning:!1}},init:function(a,x){x.graphScene=a,x.nodeDataMapper=new Ey(a,{objBindAttr:"__threeObj"}),x.linkDataMapper=new Ey(a,{objBindAttr:"__lineObj"}),x.arrowDataMapper=new Ey(a,{objBindAttr:"__arrowObj"}),x.particlesDataMapper=new Ey(a,{objBindAttr:"__photonsObj"})},update:function(a,x){var y=function(Xt){return Xt.some(function(on){return x.hasOwnProperty(on)})};if(a.engineRunning=!1,typeof a.onUpdate=="function"&&a.onUpdate(),a.nodeAutoColorBy!==null&&y(["nodeAutoColorBy","graphData","nodeColor"])&&hT(a.graphData.nodes,jo(a.nodeAutoColorBy),a.nodeColor),a.linkAutoColorBy!==null&&y(["linkAutoColorBy","graphData","linkColor"])&&hT(a.graphData.links,jo(a.linkAutoColorBy),a.linkColor),a._flushObjects||y(["graphData","nodeThreeObject","nodeThreeObjectExtend","nodeVal","nodeColor","nodeVisibility","nodeRelSize","nodeResolution","nodeOpacity"])){var E=jo(a.nodeThreeObject),z=jo(a.nodeThreeObjectExtend),ee=jo(a.nodeVal),te=jo(a.nodeColor),ne=jo(a.nodeVisibility),ie={},ae={};(a._flushObjects||y(["nodeThreeObject","nodeThreeObjectExtend"]))&&a.nodeDataMapper.clear(),a.nodeDataMapper.onCreateObj(function(qt){var Xt=E(qt),on=z(qt);Xt&&a.nodeThreeObject===Xt&&(Xt=Xt.clone());var Hn;return Xt&&!on?Hn=Xt:(Hn=new Ha.Mesh,Hn.__graphDefaultObj=!0,Xt&&on&&Hn.add(Xt)),Hn.__graphObjType="node",Hn}).onUpdateObj(function(qt,Xt){if(qt.__graphDefaultObj){var on=ee(Xt)||1,Hn=Math.cbrt(on)*a.nodeRelSize,tr=a.nodeResolution;(!qt.geometry.type.match(/^Sphere(Buffer)?Geometry$/)||qt.geometry.parameters.radius!==Hn||qt.geometry.parameters.widthSegments!==tr)&&(ie.hasOwnProperty(on)||(ie[on]=new Ha.SphereGeometry(Hn,tr,tr)),qt.geometry.dispose(),qt.geometry=ie[on]);var Gn=te(Xt),Er=new Ha.Color(wy(Gn||"#ffffaa")),ei=a.nodeOpacity*F2(Gn);(qt.material.type!=="MeshLambertMaterial"||!qt.material.color.equals(Er)||qt.material.opacity!==ei)&&(ae.hasOwnProperty(Gn)||(ae[Gn]=new Ha.MeshLambertMaterial({color:Er,transparent:!0,opacity:ei})),qt.material.dispose(),qt.material=ae[Gn])}}).digest(a.graphData.nodes.filter(ne))}if(a._flushObjects||y(["graphData","linkThreeObject","linkThreeObjectExtend","linkMaterial","linkColor","linkWidth","linkVisibility","linkResolution","linkOpacity","linkDirectionalArrowLength","linkDirectionalArrowColor","linkDirectionalArrowResolution","linkDirectionalParticles","linkDirectionalParticleWidth","linkDirectionalParticleColor","linkDirectionalParticleResolution","linkDirectionalParticleThreeObject"])){var oe=jo(a.linkThreeObject),le=jo(a.linkThreeObjectExtend),ue=jo(a.linkMaterial),he=jo(a.linkVisibility),xe=jo(a.linkColor),ve=jo(a.linkWidth),me={},Pe={},we={},Me=a.graphData.links.filter(he);if((a._flushObjects||y(["linkThreeObject","linkThreeObjectExtend","linkWidth"]))&&a.linkDataMapper.clear(),a.linkDataMapper.onRemoveObj(function(qt){var Xt=qt.__data&&qt.__data.__singleHopPhotonsObj;Xt&&(Xt.parent.remove(Xt),I2(Xt),delete qt.__data.__singleHopPhotonsObj)}).onCreateObj(function(qt){var Xt=oe(qt),on=le(qt);Xt&&a.linkThreeObject===Xt&&(Xt=Xt.clone());var Hn;if(!Xt||on){var tr=!!ve(qt);if(tr)Hn=new Ha.Mesh;else{var Gn=new Ha.BufferGeometry;Gn[L2]("position",new Ha.BufferAttribute(new Float32Array(2*3),3)),Hn=new Ha.Line(Gn)}}var Er;return Xt?on?(Er=new Ha.Group,Er.__graphDefaultObj=!0,Er.add(Hn),Er.add(Xt)):Er=Xt:(Er=Hn,Er.__graphDefaultObj=!0),Er.renderOrder=10,Er.__graphObjType="link",Er}).onUpdateObj(function(qt,Xt){if(qt.__graphDefaultObj){var on=qt.children.length?qt.children[0]:qt,Hn=Math.ceil(ve(Xt)*10)/10,tr=!!Hn;if(tr){var Gn=Hn/2,Er=a.linkResolution;if(!on.geometry.type.match(/^Cylinder(Buffer)?Geometry$/)||on.geometry.parameters.radiusTop!==Gn||on.geometry.parameters.radialSegments!==Er){if(!me.hasOwnProperty(Hn)){var ei=new Ha.CylinderGeometry(Gn,Gn,1,Er,1,!1);ei[IE](new Ha.Matrix4().makeTranslation(0,1/2,0)),ei[IE](new Ha.Matrix4().makeRotationX(Math.PI/2)),me[Hn]=ei}on.geometry.dispose(),on.geometry=me[Hn]}}var Ri=ue(Xt);if(Ri)on.material=Ri;else{var En=xe(Xt),gt=new Ha.Color(wy(En||"#f0f0f0")),xr=a.linkOpacity*F2(En),Lr=tr?"MeshLambertMaterial":"LineBasicMaterial";if(on.material.type!==Lr||!on.material.color.equals(gt)||on.material.opacity!==xr){var _r=tr?Pe:we;_r.hasOwnProperty(En)||(_r[En]=new Ha[Lr]({color:gt,transparent:xr<1,opacity:xr,depthWrite:xr>=1})),on.material.dispose(),on.material=_r[En]}}}}).digest(Me),a.linkDirectionalArrowLength||x.hasOwnProperty("linkDirectionalArrowLength")){var Le=jo(a.linkDirectionalArrowLength),De=jo(a.linkDirectionalArrowColor);a.arrowDataMapper.onCreateObj(function(){var qt=new Ha.Mesh(void 0,new Ha.MeshLambertMaterial({transparent:!0}));return qt.__linkThreeObjType="arrow",qt}).onUpdateObj(function(qt,Xt){var on=Le(Xt),Hn=a.linkDirectionalArrowResolution;if(!qt.geometry.type.match(/^Cone(Buffer)?Geometry$/)||qt.geometry.parameters.height!==on||qt.geometry.parameters.radialSegments!==Hn){var tr=new Ha.ConeGeometry(on*.25,on,Hn);tr.translate(0,on/2,0),tr.rotateX(Math.PI/2),qt.geometry.dispose(),qt.geometry=tr}var Gn=De(Xt)||xe(Xt)||"#f0f0f0";qt.material.color=new Ha.Color(wy(Gn)),qt.material.opacity=a.linkOpacity*3*F2(Gn)}).digest(Me.filter(Le))}if(a.linkDirectionalParticles||x.hasOwnProperty("linkDirectionalParticles")){var ke=jo(a.linkDirectionalParticles),ze=jo(a.linkDirectionalParticleWidth),He=jo(a.linkDirectionalParticleColor),Re=jo(a.linkDirectionalParticleThreeObject),Fe={},$e={};a.particlesDataMapper.onCreateObj(function(){var qt=new Ha.Group;return qt.__linkThreeObjType="photons",qt.__photonDataMapper=new Ey(qt),qt}).onUpdateObj(function(qt,Xt){var on=!!qt.children.length&&qt.children[0],Hn=Re(Xt),tr,Gn;if(Hn)tr=Hn.geometry,Gn=Hn.material;else{var Er=Math.ceil(ze(Xt)*10)/10/2,ei=a.linkDirectionalParticleResolution;on&&on.geometry.parameters.radius===Er&&on.geometry.parameters.widthSegments===ei?tr=on.geometry:($e.hasOwnProperty(Er)||($e[Er]=new Ha.SphereGeometry(Er,ei,ei)),tr=$e[Er]);var Ri=He(Xt)||xe(Xt)||"#f0f0f0",En=new Ha.Color(wy(Ri)),gt=a.linkOpacity*3;on&&on.material.color.equals(En)&&on.material.opacity===gt?Gn=on.material:(Fe.hasOwnProperty(Ri)||(Fe[Ri]=new Ha.MeshLambertMaterial({color:En,transparent:!0,opacity:gt})),Gn=Fe[Ri])}on&&(on.geometry!==tr&&on.geometry.dispose(),on.material!==Gn&&on.material.dispose());var xr=Math.round(Math.abs(ke(Xt)));qt.__photonDataMapper.id(function(Lr){return Lr.idx}).onCreateObj(function(){return new Ha.Mesh(tr,Gn)}).onUpdateObj(function(Lr){Lr.geometry=tr,Lr.material=Gn}).digest(qp(new Array(xr)).map(function(Lr,_r){return{idx:_r}}))}).digest(Me.filter(ke))}}if(a._flushObjects=!1,y(["graphData","nodeId","linkSource","linkTarget","numDimensions","forceEngine","dagMode","dagNodeFilter","dagLevelDistance"])){a.engineRunning=!1,a.graphData.links.forEach(function(qt){qt.source=qt[a.linkSource],qt.target=qt[a.linkTarget]});var pt=a.forceEngine!=="ngraph",st;if(pt){(st=a.d3ForceLayout).stop().alpha(1).numDimensions(a.numDimensions).nodes(a.graphData.nodes);var Ft=a.d3ForceLayout.force("link");Ft&&Ft.id(function(qt){return qt[a.nodeId]}).links(a.graphData.links);var an=a.dagMode&&$H(a.graphData,function(qt){return qt[a.nodeId]},{nodeFilter:a.dagNodeFilter,onLoopError:a.onDagError||void 0}),Zn=Math.max.apply(Math,qp(Object.values(an||[]))),Zt=a.dagLevelDistance||a.graphData.nodes.length/(Zn||1)*eU*(["radialin","radialout"].indexOf(a.dagMode)!==-1?.7:1);if(["lr","rl","td","bu","zin","zout"].includes(x.dagMode)){var nt=["lr","rl"].includes(x.dagMode)?"fx":["td","bu"].includes(x.dagMode)?"fy":"fz";a.graphData.nodes.filter(a.dagNodeFilter).forEach(function(qt){return delete qt[nt]})}if(["lr","rl","td","bu","zin","zout"].includes(a.dagMode)){var Vt=["rl","td","zout"].includes(a.dagMode),vt=function(Xt){return(an[Xt[a.nodeId]]-Zn/2)*Zt*(Vt?-1:1)},Yt=["lr","rl"].includes(a.dagMode)?"fx":["td","bu"].includes(a.dagMode)?"fy":"fz";a.graphData.nodes.filter(a.dagNodeFilter).forEach(function(qt){return qt[Yt]=vt(qt)})}a.d3ForceLayout.force("dagRadial",["radialin","radialout"].indexOf(a.dagMode)!==-1?Zz(function(qt){var Xt=an[qt[a.nodeId]]||-1;return(a.dagMode==="radialin"?Zn-Xt:Xt)*Zt}).strength(function(qt){return a.dagNodeFilter(qt)?1:0}):null)}else{var gn=pT.graph();a.graphData.nodes.forEach(function(qt){gn.addNode(qt[a.nodeId])}),a.graphData.links.forEach(function(qt){gn.addLink(qt.source,qt.target)}),st=pT.forcelayout(gn,YH({dimensions:a.numDimensions},a.ngraphPhysics)),st.graph=gn}for(var fr=0;fr<a.warmupTicks&&!(pt&&a.d3AlphaMin>0&&a.d3ForceLayout.alpha()<a.d3AlphaMin);fr++)st[pt?"tick":"step"]();a.layout=st,this.resetCountdown()}a.engineRunning=!0,a.onFinishUpdate()}});function nU(b){var a=arguments.length>1&&arguments[1]!==void 0?arguments[1]:Object,x=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!1,y=function(E){function z(){var ee;nT(this,z);for(var te=arguments.length,ne=new Array(te),ie=0;ie<te;ie++)ne[ie]=arguments[ie];return ee=tT(this,z,[].concat(ne)),ee.__kapsuleInstance=sT(b,[].concat(qp(x?[ee]:[]),ne)),ee}return oT(z,E),aT(z)}(a);return Object.keys(b()).forEach(function(E){return y.prototype[E]=function(){var z,ee=(z=this.__kapsuleInstance)[E].apply(z,arguments);return ee===this.__kapsuleInstance?this:ee}}),y}var rU=window.THREE?window.THREE:{Group:yv},mT=nU(tU,rU.Group,!0);function gT(){let b=null,a=!1,x=null,y=null;function 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ae=a.get(te);(!ae||ae.version<te.version)&&a.set(te,{buffer:te.buffer,type:te.type,bytesPerElement:te.elementSize,version:te.version});return}const ie=a.get(te);if(ie===void 0)a.set(te,x(te,ne));else if(ie.version<te.version){if(ie.size!==te.array.byteLength)throw new Error("THREE.WebGLAttributes: The size of the buffer attribute's array buffer does not match the original size. Resizing buffer attributes is not supported.");y(ie.buffer,te,ne),ie.version=te.version}}return{get:E,remove:z,update:ee}}var sU=`#ifdef USE_ALPHAHASH
	if ( diffuseColor.a < getAlphaHashThreshold( vPosition ) ) discard;
#endif`,aU=`#ifdef USE_ALPHAHASH
	const float ALPHA_HASH_SCALE = 0.05;
	float hash2D( vec2 value ) {
		return fract( 1.0e4 * sin( 17.0 * value.x + 0.1 * value.y ) * ( 0.1 + abs( sin( 13.0 * value.y + value.x ) ) ) );
	}
	float hash3D( vec3 value ) {
		return hash2D( vec2( hash2D( value.xy ), value.z ) );
	}
	float getAlphaHashThreshold( vec3 position ) {
		float maxDeriv = max(
			length( dFdx( position.xyz ) ),
			length( dFdy( position.xyz ) )
		);
		float pixScale = 1.0 / ( ALPHA_HASH_SCALE * maxDeriv );
		vec2 pixScales = vec2(
			exp2( floor( log2( pixScale ) ) ),
			exp2( ceil( log2( pixScale ) ) )
		);
		vec2 alpha = vec2(
			hash3D( floor( pixScales.x * position.xyz ) ),
			hash3D( floor( pixScales.y * position.xyz ) )
		);
		float lerpFactor = fract( log2( pixScale ) );
		float x = ( 1.0 - lerpFactor ) * alpha.x + lerpFactor * alpha.y;
		float a = min( lerpFactor, 1.0 - lerpFactor );
		vec3 cases = vec3(
			x * x / ( 2.0 * a * ( 1.0 - a ) ),
			( x - 0.5 * a ) / ( 1.0 - a ),
			1.0 - ( ( 1.0 - x ) * ( 1.0 - x ) / ( 2.0 * a * ( 1.0 - a ) ) )
		);
		float threshold = ( x < ( 1.0 - a ) )
			? ( ( x < a ) ? cases.x : cases.y )
			: cases.z;
		return clamp( threshold , 1.0e-6, 1.0 );
	}
#endif`,oU=`#ifdef USE_ALPHAMAP
	diffuseColor.a *= texture2D( alphaMap, vAlphaMapUv ).g;
#endif`,lU=`#ifdef USE_ALPHAMAP
	uniform sampler2D alphaMap;
#endif`,uU=`#ifdef USE_ALPHATEST
	#ifdef ALPHA_TO_COVERAGE
	diffuseColor.a = smoothstep( alphaTest, alphaTest + fwidth( diffuseColor.a ), diffuseColor.a );
	if ( diffuseColor.a == 0.0 ) discard;
	#else
	if ( diffuseColor.a < alphaTest ) discard;
	#endif
#endif`,cU=`#ifdef USE_ALPHATEST
	uniform float alphaTest;
#endif`,dU=`#ifdef USE_AOMAP
	float ambientOcclusion = ( texture2D( aoMap, vAoMapUv ).r - 1.0 ) * aoMapIntensity + 1.0;
	reflectedLight.indirectDiffuse *= ambientOcclusion;
	#if defined( USE_CLEARCOAT ) 
		clearcoatSpecularIndirect *= ambientOcclusion;
	#endif
	#if defined( USE_SHEEN ) 
		sheenSpecularIndirect *= ambientOcclusion;
	#endif
	#if defined( USE_ENVMAP ) && defined( STANDARD )
		float dotNV = saturate( dot( geometryNormal, geometryViewDir ) );
		reflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.roughness );
	#endif
#endif`,fU=`#ifdef USE_AOMAP
	uniform sampler2D aoMap;
	uniform float aoMapIntensity;
#endif`,hU=`#ifdef USE_BATCHING
	#if ! defined( GL_ANGLE_multi_draw )
	#define gl_DrawID _gl_DrawID
	uniform int _gl_DrawID;
	#endif
	uniform highp sampler2D batchingTexture;
	uniform highp usampler2D batchingIdTexture;
	mat4 getBatchingMatrix( const in float i ) {
		int size = textureSize( batchingTexture, 0 ).x;
		int j = int( i ) * 4;
		int x = j % size;
		int y = j / size;
		vec4 v1 = texelFetch( batchingTexture, ivec2( x, y ), 0 );
		vec4 v2 = texelFetch( batchingTexture, ivec2( x + 1, y ), 0 );
		vec4 v3 = texelFetch( batchingTexture, ivec2( x + 2, y ), 0 );
		vec4 v4 = texelFetch( batchingTexture, ivec2( x + 3, y ), 0 );
		return mat4( v1, v2, v3, v4 );
	}
	float getIndirectIndex( const in int i ) {
		int size = textureSize( batchingIdTexture, 0 ).x;
		int x = i % size;
		int y = i / size;
		return float( texelFetch( batchingIdTexture, ivec2( x, y ), 0 ).r );
	}
#endif
#ifdef USE_BATCHING_COLOR
	uniform sampler2D batchingColorTexture;
	vec3 getBatchingColor( const in float i ) {
		int size = textureSize( batchingColorTexture, 0 ).x;
		int j = int( i );
		int x = j % size;
		int y = j / size;
		return texelFetch( batchingColorTexture, ivec2( x, y ), 0 ).rgb;
	}
#endif`,pU=`#ifdef USE_BATCHING
	mat4 batchingMatrix = getBatchingMatrix( getIndirectIndex( gl_DrawID ) );
#endif`,mU=`vec3 transformed = vec3( position );
#ifdef USE_ALPHAHASH
	vPosition = vec3( position );
#endif`,gU=`vec3 objectNormal = vec3( normal );
#ifdef USE_TANGENT
	vec3 objectTangent = vec3( tangent.xyz );
#endif`,vU=`float G_BlinnPhong_Implicit( ) {
	return 0.25;
}
float D_BlinnPhong( const in float shininess, const in float dotNH ) {
	return RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );
}
vec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) {
	vec3 halfDir = normalize( lightDir + viewDir );
	float dotNH = saturate( dot( normal, halfDir ) );
	float dotVH = saturate( dot( viewDir, halfDir ) );
	vec3 F = F_Schlick( specularColor, 1.0, dotVH );
	float G = G_BlinnPhong_Implicit( );
	float D = D_BlinnPhong( shininess, dotNH );
	return F * ( G * D );
} // validated`,AU=`#ifdef USE_IRIDESCENCE
	const mat3 XYZ_TO_REC709 = mat3(
		 3.2404542, -0.9692660,  0.0556434,
		-1.5371385,  1.8760108, -0.2040259,
		-0.4985314,  0.0415560,  1.0572252
	);
	vec3 Fresnel0ToIor( vec3 fresnel0 ) {
		vec3 sqrtF0 = sqrt( fresnel0 );
		return ( vec3( 1.0 ) + sqrtF0 ) / ( vec3( 1.0 ) - sqrtF0 );
	}
	vec3 IorToFresnel0( vec3 transmittedIor, float incidentIor ) {
		return pow2( ( transmittedIor - vec3( incidentIor ) ) / ( transmittedIor + vec3( incidentIor ) ) );
	}
	float IorToFresnel0( float transmittedIor, float incidentIor ) {
		return pow2( ( transmittedIor - incidentIor ) / ( transmittedIor + incidentIor ));
	}
	vec3 evalSensitivity( float OPD, vec3 shift ) {
		float phase = 2.0 * PI * OPD * 1.0e-9;
		vec3 val = vec3( 5.4856e-13, 4.4201e-13, 5.2481e-13 );
		vec3 pos = vec3( 1.6810e+06, 1.7953e+06, 2.2084e+06 );
		vec3 var = vec3( 4.3278e+09, 9.3046e+09, 6.6121e+09 );
		vec3 xyz = val * sqrt( 2.0 * PI * var ) * cos( pos * phase + shift ) * exp( - pow2( phase ) * var );
		xyz.x += 9.7470e-14 * sqrt( 2.0 * PI * 4.5282e+09 ) * cos( 2.2399e+06 * phase + shift[ 0 ] ) * exp( - 4.5282e+09 * pow2( phase ) );
		xyz /= 1.0685e-7;
		vec3 rgb = XYZ_TO_REC709 * xyz;
		return rgb;
	}
	vec3 evalIridescence( float outsideIOR, float eta2, float cosTheta1, float thinFilmThickness, vec3 baseF0 ) {
		vec3 I;
		float iridescenceIOR = mix( outsideIOR, eta2, smoothstep( 0.0, 0.03, thinFilmThickness ) );
		float sinTheta2Sq = pow2( outsideIOR / iridescenceIOR ) * ( 1.0 - pow2( cosTheta1 ) );
		float cosTheta2Sq = 1.0 - sinTheta2Sq;
		if ( cosTheta2Sq < 0.0 ) {
			return vec3( 1.0 );
		}
		float cosTheta2 = sqrt( cosTheta2Sq );
		float R0 = IorToFresnel0( iridescenceIOR, outsideIOR );
		float R12 = F_Schlick( R0, 1.0, cosTheta1 );
		float T121 = 1.0 - R12;
		float phi12 = 0.0;
		if ( iridescenceIOR < outsideIOR ) phi12 = PI;
		float phi21 = PI - phi12;
		vec3 baseIOR = Fresnel0ToIor( clamp( baseF0, 0.0, 0.9999 ) );		vec3 R1 = IorToFresnel0( baseIOR, iridescenceIOR );
		vec3 R23 = F_Schlick( R1, 1.0, cosTheta2 );
		vec3 phi23 = vec3( 0.0 );
		if ( baseIOR[ 0 ] < iridescenceIOR ) phi23[ 0 ] = PI;
		if ( baseIOR[ 1 ] < iridescenceIOR ) phi23[ 1 ] = PI;
		if ( baseIOR[ 2 ] < iridescenceIOR ) phi23[ 2 ] = PI;
		float OPD = 2.0 * iridescenceIOR * thinFilmThickness * cosTheta2;
		vec3 phi = vec3( phi21 ) + phi23;
		vec3 R123 = clamp( R12 * R23, 1e-5, 0.9999 );
		vec3 r123 = sqrt( R123 );
		vec3 Rs = pow2( T121 ) * R23 / ( vec3( 1.0 ) - R123 );
		vec3 C0 = R12 + Rs;
		I = C0;
		vec3 Cm = Rs - T121;
		for ( int m = 1; m <= 2; ++ m ) {
			Cm *= r123;
			vec3 Sm = 2.0 * evalSensitivity( float( m ) * OPD, float( m ) * phi );
			I += Cm * Sm;
		}
		return max( I, vec3( 0.0 ) );
	}
#endif`,xU=`#ifdef USE_BUMPMAP
	uniform sampler2D bumpMap;
	uniform float bumpScale;
	vec2 dHdxy_fwd() {
		vec2 dSTdx = dFdx( vBumpMapUv );
		vec2 dSTdy = dFdy( vBumpMapUv );
		float Hll = bumpScale * texture2D( bumpMap, vBumpMapUv ).x;
		float dBx = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdx ).x - Hll;
		float dBy = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdy ).x - Hll;
		return vec2( dBx, dBy );
	}
	vec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) {
		vec3 vSigmaX = normalize( dFdx( surf_pos.xyz ) );
		vec3 vSigmaY = normalize( dFdy( surf_pos.xyz ) );
		vec3 vN = surf_norm;
		vec3 R1 = cross( vSigmaY, vN );
		vec3 R2 = cross( vN, vSigmaX );
		float fDet = dot( vSigmaX, R1 ) * faceDirection;
		vec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );
		return normalize( abs( fDet ) * surf_norm - vGrad );
	}
#endif`,yU=`#if NUM_CLIPPING_PLANES > 0
	vec4 plane;
	#ifdef ALPHA_TO_COVERAGE
		float distanceToPlane, distanceGradient;
		float clipOpacity = 1.0;
		#pragma unroll_loop_start
		for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {
			plane = clippingPlanes[ i ];
			distanceToPlane = - dot( vClipPosition, plane.xyz ) + plane.w;
			distanceGradient = fwidth( distanceToPlane ) / 2.0;
			clipOpacity *= smoothstep( - distanceGradient, distanceGradient, distanceToPlane );
			if ( clipOpacity == 0.0 ) discard;
		}
		#pragma unroll_loop_end
		#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES
			float unionClipOpacity = 1.0;
			#pragma unroll_loop_start
			for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {
				plane = clippingPlanes[ i ];
				distanceToPlane = - dot( vClipPosition, plane.xyz ) + plane.w;
				distanceGradient = fwidth( distanceToPlane ) / 2.0;
				unionClipOpacity *= 1.0 - smoothstep( - distanceGradient, distanceGradient, distanceToPlane );
			}
			#pragma unroll_loop_end
			clipOpacity *= 1.0 - unionClipOpacity;
		#endif
		diffuseColor.a *= clipOpacity;
		if ( diffuseColor.a == 0.0 ) discard;
	#else
		#pragma unroll_loop_start
		for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {
			plane = clippingPlanes[ i ];
			if ( dot( vClipPosition, plane.xyz ) > plane.w ) discard;
		}
		#pragma unroll_loop_end
		#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES
			bool clipped = true;
			#pragma unroll_loop_start
			for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {
				plane = clippingPlanes[ i ];
				clipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped;
			}
			#pragma unroll_loop_end
			if ( clipped ) discard;
		#endif
	#endif
#endif`,bU=`#if NUM_CLIPPING_PLANES > 0
	varying vec3 vClipPosition;
	uniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];
#endif`,EU=`#if NUM_CLIPPING_PLANES > 0
	varying vec3 vClipPosition;
#endif`,wU=`#if NUM_CLIPPING_PLANES > 0
	vClipPosition = - mvPosition.xyz;
#endif`,CU=`#if defined( USE_COLOR_ALPHA )
	diffuseColor *= vColor;
#elif defined( USE_COLOR )
	diffuseColor.rgb *= vColor;
#endif`,PU=`#if defined( USE_COLOR_ALPHA )
	varying vec4 vColor;
#elif defined( USE_COLOR )
	varying vec3 vColor;
#endif`,SU=`#if defined( USE_COLOR_ALPHA )
	varying vec4 vColor;
#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) || defined( USE_BATCHING_COLOR )
	varying vec3 vColor;
#endif`,BU=`#if defined( USE_COLOR_ALPHA )
	vColor = vec4( 1.0 );
#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR ) || defined( USE_BATCHING_COLOR )
	vColor = vec3( 1.0 );
#endif
#ifdef USE_COLOR
	vColor *= color;
#endif
#ifdef USE_INSTANCING_COLOR
	vColor.xyz *= instanceColor.xyz;
#endif
#ifdef USE_BATCHING_COLOR
	vec3 batchingColor = getBatchingColor( getIndirectIndex( gl_DrawID ) );
	vColor.xyz *= batchingColor.xyz;
#endif`,MU=`#define PI 3.141592653589793
#define PI2 6.283185307179586
#define PI_HALF 1.5707963267948966
#define RECIPROCAL_PI 0.3183098861837907
#define RECIPROCAL_PI2 0.15915494309189535
#define EPSILON 1e-6
#ifndef saturate
#define saturate( a ) clamp( a, 0.0, 1.0 )
#endif
#define whiteComplement( a ) ( 1.0 - saturate( a ) )
float pow2( const in float x ) { return x*x; }
vec3 pow2( const in vec3 x ) { return x*x; }
float pow3( const in float x ) { return x*x*x; }
float pow4( const in float x ) { float x2 = x*x; return x2*x2; }
float max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); }
float average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); }
highp float rand( const in vec2 uv ) {
	const highp float a = 12.9898, b = 78.233, c = 43758.5453;
	highp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );
	return fract( sin( sn ) * c );
}
#ifdef HIGH_PRECISION
	float precisionSafeLength( vec3 v ) { return length( v ); }
#else
	float precisionSafeLength( vec3 v ) {
		float maxComponent = max3( abs( v ) );
		return length( v / maxComponent ) * maxComponent;
	}
#endif
struct IncidentLight {
	vec3 color;
	vec3 direction;
	bool visible;
};
struct ReflectedLight {
	vec3 directDiffuse;
	vec3 directSpecular;
	vec3 indirectDiffuse;
	vec3 indirectSpecular;
};
#ifdef USE_ALPHAHASH
	varying vec3 vPosition;
#endif
vec3 transformDirection( in vec3 dir, in mat4 matrix ) {
	return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );
}
vec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {
	return normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );
}
bool isPerspectiveMatrix( mat4 m ) {
	return m[ 2 ][ 3 ] == - 1.0;
}
vec2 equirectUv( in vec3 dir ) {
	float u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5;
	float v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;
	return vec2( u, v );
}
vec3 BRDF_Lambert( const in vec3 diffuseColor ) {
	return RECIPROCAL_PI * diffuseColor;
}
vec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) {
	float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );
	return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );
}
float F_Schlick( const in float f0, const in float f90, const in float dotVH ) {
	float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );
	return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );
} // validated`,TU=`#ifdef ENVMAP_TYPE_CUBE_UV
	#define cubeUV_minMipLevel 4.0
	#define cubeUV_minTileSize 16.0
	float getFace( vec3 direction ) {
		vec3 absDirection = abs( direction );
		float face = - 1.0;
		if ( absDirection.x > absDirection.z ) {
			if ( absDirection.x > absDirection.y )
				face = direction.x > 0.0 ? 0.0 : 3.0;
			else
				face = direction.y > 0.0 ? 1.0 : 4.0;
		} else {
			if ( absDirection.z > absDirection.y )
				face = direction.z > 0.0 ? 2.0 : 5.0;
			else
				face = direction.y > 0.0 ? 1.0 : 4.0;
		}
		return face;
	}
	vec2 getUV( vec3 direction, float face ) {
		vec2 uv;
		if ( face == 0.0 ) {
			uv = vec2( direction.z, direction.y ) / abs( direction.x );
		} else if ( face == 1.0 ) {
			uv = vec2( - direction.x, - direction.z ) / abs( direction.y );
		} else if ( face == 2.0 ) {
			uv = vec2( - direction.x, direction.y ) / abs( direction.z );
		} else if ( face == 3.0 ) {
			uv = vec2( - direction.z, direction.y ) / abs( direction.x );
		} else if ( face == 4.0 ) {
			uv = vec2( - direction.x, direction.z ) / abs( direction.y );
		} else {
			uv = vec2( direction.x, direction.y ) / abs( direction.z );
		}
		return 0.5 * ( uv + 1.0 );
	}
	vec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) {
		float face = getFace( direction );
		float filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 );
		mipInt = max( mipInt, cubeUV_minMipLevel );
		float faceSize = exp2( mipInt );
		highp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0;
		if ( face > 2.0 ) {
			uv.y += faceSize;
			face -= 3.0;
		}
		uv.x += face * faceSize;
		uv.x += filterInt * 3.0 * cubeUV_minTileSize;
		uv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize );
		uv.x *= CUBEUV_TEXEL_WIDTH;
		uv.y *= CUBEUV_TEXEL_HEIGHT;
		#ifdef texture2DGradEXT
			return texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb;
		#else
			return texture2D( envMap, uv ).rgb;
		#endif
	}
	#define cubeUV_r0 1.0
	#define cubeUV_m0 - 2.0
	#define cubeUV_r1 0.8
	#define cubeUV_m1 - 1.0
	#define cubeUV_r4 0.4
	#define cubeUV_m4 2.0
	#define cubeUV_r5 0.305
	#define cubeUV_m5 3.0
	#define cubeUV_r6 0.21
	#define cubeUV_m6 4.0
	float roughnessToMip( float roughness ) {
		float mip = 0.0;
		if ( roughness >= cubeUV_r1 ) {
			mip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0;
		} else if ( roughness >= cubeUV_r4 ) {
			mip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1;
		} else if ( roughness >= cubeUV_r5 ) {
			mip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4;
		} else if ( roughness >= cubeUV_r6 ) {
			mip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5;
		} else {
			mip = - 2.0 * log2( 1.16 * roughness );		}
		return mip;
	}
	vec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) {
		float mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP );
		float mipF = fract( mip );
		float mipInt = floor( mip );
		vec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt );
		if ( mipF == 0.0 ) {
			return vec4( color0, 1.0 );
		} else {
			vec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 );
			return vec4( mix( color0, color1, mipF ), 1.0 );
		}
	}
#endif`,DU=`vec3 transformedNormal = objectNormal;
#ifdef USE_TANGENT
	vec3 transformedTangent = objectTangent;
#endif
#ifdef USE_BATCHING
	mat3 bm = mat3( batchingMatrix );
	transformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) );
	transformedNormal = bm * transformedNormal;
	#ifdef USE_TANGENT
		transformedTangent = bm * transformedTangent;
	#endif
#endif
#ifdef USE_INSTANCING
	mat3 im = mat3( instanceMatrix );
	transformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) );
	transformedNormal = im * transformedNormal;
	#ifdef USE_TANGENT
		transformedTangent = im * transformedTangent;
	#endif
#endif
transformedNormal = normalMatrix * transformedNormal;
#ifdef FLIP_SIDED
	transformedNormal = - transformedNormal;
#endif
#ifdef USE_TANGENT
	transformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz;
	#ifdef FLIP_SIDED
		transformedTangent = - transformedTangent;
	#endif
#endif`,IU=`#ifdef USE_DISPLACEMENTMAP
	uniform sampler2D displacementMap;
	uniform float displacementScale;
	uniform float displacementBias;
#endif`,NU=`#ifdef USE_DISPLACEMENTMAP
	transformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias );
#endif`,FU=`#ifdef USE_EMISSIVEMAP
	vec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv );
	#ifdef DECODE_VIDEO_TEXTURE_EMISSIVE
		emissiveColor = sRGBTransferEOTF( emissiveColor );
	#endif
	totalEmissiveRadiance *= emissiveColor.rgb;
#endif`,LU=`#ifdef USE_EMISSIVEMAP
	uniform sampler2D emissiveMap;
#endif`,RU="gl_FragColor = linearToOutputTexel( gl_FragColor );",OU=`vec4 LinearTransferOETF( in vec4 value ) {
	return value;
}
vec4 sRGBTransferEOTF( in vec4 value ) {
	return vec4( mix( pow( value.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), value.rgb * 0.0773993808, vec3( lessThanEqual( value.rgb, vec3( 0.04045 ) ) ) ), value.a );
}
vec4 sRGBTransferOETF( in vec4 value ) {
	return vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a );
}`,zU=`#ifdef USE_ENVMAP
	#ifdef ENV_WORLDPOS
		vec3 cameraToFrag;
		if ( isOrthographic ) {
			cameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );
		} else {
			cameraToFrag = normalize( vWorldPosition - cameraPosition );
		}
		vec3 worldNormal = inverseTransformDirection( normal, viewMatrix );
		#ifdef ENVMAP_MODE_REFLECTION
			vec3 reflectVec = reflect( cameraToFrag, worldNormal );
		#else
			vec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio );
		#endif
	#else
		vec3 reflectVec = vReflect;
	#endif
	#ifdef ENVMAP_TYPE_CUBE
		vec4 envColor = textureCube( envMap, envMapRotation * vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );
	#else
		vec4 envColor = vec4( 0.0 );
	#endif
	#ifdef ENVMAP_BLENDING_MULTIPLY
		outgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );
	#elif defined( ENVMAP_BLENDING_MIX )
		outgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );
	#elif defined( ENVMAP_BLENDING_ADD )
		outgoingLight += envColor.xyz * specularStrength * reflectivity;
	#endif
#endif`,kU=`#ifdef USE_ENVMAP
	uniform float envMapIntensity;
	uniform float flipEnvMap;
	uniform mat3 envMapRotation;
	#ifdef ENVMAP_TYPE_CUBE
		uniform samplerCube envMap;
	#else
		uniform sampler2D envMap;
	#endif
#endif`,HU=`#ifdef USE_ENVMAP
	uniform float reflectivity;
	#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )
		#define ENV_WORLDPOS
	#endif
	#ifdef ENV_WORLDPOS
		varying vec3 vWorldPosition;
		uniform float refractionRatio;
	#else
		varying vec3 vReflect;
	#endif
#endif`,UU=`#ifdef USE_ENVMAP
	#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )
		#define ENV_WORLDPOS
	#endif
	#ifdef ENV_WORLDPOS
		
		varying vec3 vWorldPosition;
	#else
		varying vec3 vReflect;
		uniform float refractionRatio;
	#endif
#endif`,jU=`#ifdef USE_ENVMAP
	#ifdef ENV_WORLDPOS
		vWorldPosition = worldPosition.xyz;
	#else
		vec3 cameraToVertex;
		if ( isOrthographic ) {
			cameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );
		} else {
			cameraToVertex = normalize( worldPosition.xyz - cameraPosition );
		}
		vec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );
		#ifdef ENVMAP_MODE_REFLECTION
			vReflect = reflect( cameraToVertex, worldNormal );
		#else
			vReflect = refract( cameraToVertex, worldNormal, refractionRatio );
		#endif
	#endif
#endif`,VU=`#ifdef USE_FOG
	vFogDepth = - mvPosition.z;
#endif`,GU=`#ifdef USE_FOG
	varying float vFogDepth;
#endif`,XU=`#ifdef USE_FOG
	#ifdef FOG_EXP2
		float fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth );
	#else
		float fogFactor = smoothstep( fogNear, fogFar, vFogDepth );
	#endif
	gl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );
#endif`,WU=`#ifdef USE_FOG
	uniform vec3 fogColor;
	varying float vFogDepth;
	#ifdef FOG_EXP2
		uniform float fogDensity;
	#else
		uniform float fogNear;
		uniform float fogFar;
	#endif
#endif`,QU=`#ifdef USE_GRADIENTMAP
	uniform sampler2D gradientMap;
#endif
vec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {
	float dotNL = dot( normal, lightDirection );
	vec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );
	#ifdef USE_GRADIENTMAP
		return vec3( texture2D( gradientMap, coord ).r );
	#else
		vec2 fw = fwidth( coord ) * 0.5;
		return mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) );
	#endif
}`,ZU=`#ifdef USE_LIGHTMAP
	uniform sampler2D lightMap;
	uniform float lightMapIntensity;
#endif`,YU=`LambertMaterial material;
material.diffuseColor = diffuseColor.rgb;
material.specularStrength = specularStrength;`,JU=`varying vec3 vViewPosition;
struct LambertMaterial {
	vec3 diffuseColor;
	float specularStrength;
};
void RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {
	float dotNL = saturate( dot( geometryNormal, directLight.direction ) );
	vec3 irradiance = dotNL * directLight.color;
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
#define RE_Direct				RE_Direct_Lambert
#define RE_IndirectDiffuse		RE_IndirectDiffuse_Lambert`,KU=`uniform bool receiveShadow;
uniform vec3 ambientLightColor;
#if defined( USE_LIGHT_PROBES )
	uniform vec3 lightProbe[ 9 ];
#endif
vec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) {
	float x = normal.x, y = normal.y, z = normal.z;
	vec3 result = shCoefficients[ 0 ] * 0.886227;
	result += shCoefficients[ 1 ] * 2.0 * 0.511664 * y;
	result += shCoefficients[ 2 ] * 2.0 * 0.511664 * z;
	result += shCoefficients[ 3 ] * 2.0 * 0.511664 * x;
	result += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y;
	result += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z;
	result += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 );
	result += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z;
	result += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y );
	return result;
}
vec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) {
	vec3 worldNormal = inverseTransformDirection( normal, viewMatrix );
	vec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe );
	return irradiance;
}
vec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {
	vec3 irradiance = ambientLightColor;
	return irradiance;
}
float getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {
	float distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );
	if ( cutoffDistance > 0.0 ) {
		distanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );
	}
	return distanceFalloff;
}
float getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) {
	return smoothstep( coneCosine, penumbraCosine, angleCosine );
}
#if NUM_DIR_LIGHTS > 0
	struct DirectionalLight {
		vec3 direction;
		vec3 color;
	};
	uniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];
	void getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) {
		light.color = directionalLight.color;
		light.direction = directionalLight.direction;
		light.visible = true;
	}
#endif
#if NUM_POINT_LIGHTS > 0
	struct PointLight {
		vec3 position;
		vec3 color;
		float distance;
		float decay;
	};
	uniform PointLight pointLights[ NUM_POINT_LIGHTS ];
	void getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) {
		vec3 lVector = pointLight.position - geometryPosition;
		light.direction = normalize( lVector );
		float lightDistance = length( lVector );
		light.color = pointLight.color;
		light.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay );
		light.visible = ( light.color != vec3( 0.0 ) );
	}
#endif
#if NUM_SPOT_LIGHTS > 0
	struct SpotLight {
		vec3 position;
		vec3 direction;
		vec3 color;
		float distance;
		float decay;
		float coneCos;
		float penumbraCos;
	};
	uniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];
	void getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) {
		vec3 lVector = spotLight.position - geometryPosition;
		light.direction = normalize( lVector );
		float angleCos = dot( light.direction, spotLight.direction );
		float spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos );
		if ( spotAttenuation > 0.0 ) {
			float lightDistance = length( lVector );
			light.color = spotLight.color * spotAttenuation;
			light.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay );
			light.visible = ( light.color != vec3( 0.0 ) );
		} else {
			light.color = vec3( 0.0 );
			light.visible = false;
		}
	}
#endif
#if NUM_RECT_AREA_LIGHTS > 0
	struct RectAreaLight {
		vec3 color;
		vec3 position;
		vec3 halfWidth;
		vec3 halfHeight;
	};
	uniform sampler2D ltc_1;	uniform sampler2D ltc_2;
	uniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];
#endif
#if NUM_HEMI_LIGHTS > 0
	struct HemisphereLight {
		vec3 direction;
		vec3 skyColor;
		vec3 groundColor;
	};
	uniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];
	vec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) {
		float dotNL = dot( normal, hemiLight.direction );
		float hemiDiffuseWeight = 0.5 * dotNL + 0.5;
		vec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );
		return irradiance;
	}
#endif`,qU=`#ifdef USE_ENVMAP
	vec3 getIBLIrradiance( const in vec3 normal ) {
		#ifdef ENVMAP_TYPE_CUBE_UV
			vec3 worldNormal = inverseTransformDirection( normal, viewMatrix );
			vec4 envMapColor = textureCubeUV( envMap, envMapRotation * worldNormal, 1.0 );
			return PI * envMapColor.rgb * envMapIntensity;
		#else
			return vec3( 0.0 );
		#endif
	}
	vec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) {
		#ifdef ENVMAP_TYPE_CUBE_UV
			vec3 reflectVec = reflect( - viewDir, normal );
			reflectVec = normalize( mix( reflectVec, normal, pow4( roughness ) ) );
			reflectVec = inverseTransformDirection( reflectVec, viewMatrix );
			vec4 envMapColor = textureCubeUV( envMap, envMapRotation * reflectVec, roughness );
			return envMapColor.rgb * envMapIntensity;
		#else
			return vec3( 0.0 );
		#endif
	}
	#ifdef USE_ANISOTROPY
		vec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) {
			#ifdef ENVMAP_TYPE_CUBE_UV
				vec3 bentNormal = cross( bitangent, viewDir );
				bentNormal = normalize( cross( bentNormal, bitangent ) );
				bentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) );
				return getIBLRadiance( viewDir, bentNormal, roughness );
			#else
				return vec3( 0.0 );
			#endif
		}
	#endif
#endif`,_U=`ToonMaterial material;
material.diffuseColor = diffuseColor.rgb;`,$U=`varying vec3 vViewPosition;
struct ToonMaterial {
	vec3 diffuseColor;
};
void RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {
	vec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color;
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
#define RE_Direct				RE_Direct_Toon
#define RE_IndirectDiffuse		RE_IndirectDiffuse_Toon`,ej=`BlinnPhongMaterial material;
material.diffuseColor = diffuseColor.rgb;
material.specularColor = specular;
material.specularShininess = shininess;
material.specularStrength = specularStrength;`,tj=`varying vec3 vViewPosition;
struct BlinnPhongMaterial {
	vec3 diffuseColor;
	vec3 specularColor;
	float specularShininess;
	float specularStrength;
};
void RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {
	float dotNL = saturate( dot( geometryNormal, directLight.direction ) );
	vec3 irradiance = dotNL * directLight.color;
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
	reflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength;
}
void RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
#define RE_Direct				RE_Direct_BlinnPhong
#define RE_IndirectDiffuse		RE_IndirectDiffuse_BlinnPhong`,nj=`PhysicalMaterial material;
material.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );
vec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) );
float geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );
material.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness;
material.roughness = min( material.roughness, 1.0 );
#ifdef IOR
	material.ior = ior;
	#ifdef USE_SPECULAR
		float specularIntensityFactor = specularIntensity;
		vec3 specularColorFactor = specularColor;
		#ifdef USE_SPECULAR_COLORMAP
			specularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb;
		#endif
		#ifdef USE_SPECULAR_INTENSITYMAP
			specularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a;
		#endif
		material.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor );
	#else
		float specularIntensityFactor = 1.0;
		vec3 specularColorFactor = vec3( 1.0 );
		material.specularF90 = 1.0;
	#endif
	material.specularColor = mix( min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor );
#else
	material.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor );
	material.specularF90 = 1.0;
#endif
#ifdef USE_CLEARCOAT
	material.clearcoat = clearcoat;
	material.clearcoatRoughness = clearcoatRoughness;
	material.clearcoatF0 = vec3( 0.04 );
	material.clearcoatF90 = 1.0;
	#ifdef USE_CLEARCOATMAP
		material.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x;
	#endif
	#ifdef USE_CLEARCOAT_ROUGHNESSMAP
		material.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y;
	#endif
	material.clearcoat = saturate( material.clearcoat );	material.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 );
	material.clearcoatRoughness += geometryRoughness;
	material.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 );
#endif
#ifdef USE_DISPERSION
	material.dispersion = dispersion;
#endif
#ifdef USE_IRIDESCENCE
	material.iridescence = iridescence;
	material.iridescenceIOR = iridescenceIOR;
	#ifdef USE_IRIDESCENCEMAP
		material.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r;
	#endif
	#ifdef USE_IRIDESCENCE_THICKNESSMAP
		material.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum;
	#else
		material.iridescenceThickness = iridescenceThicknessMaximum;
	#endif
#endif
#ifdef USE_SHEEN
	material.sheenColor = sheenColor;
	#ifdef USE_SHEEN_COLORMAP
		material.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb;
	#endif
	material.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 );
	#ifdef USE_SHEEN_ROUGHNESSMAP
		material.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a;
	#endif
#endif
#ifdef USE_ANISOTROPY
	#ifdef USE_ANISOTROPYMAP
		mat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x );
		vec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb;
		vec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b;
	#else
		vec2 anisotropyV = anisotropyVector;
	#endif
	material.anisotropy = length( anisotropyV );
	if( material.anisotropy == 0.0 ) {
		anisotropyV = vec2( 1.0, 0.0 );
	} else {
		anisotropyV /= material.anisotropy;
		material.anisotropy = saturate( material.anisotropy );
	}
	material.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) );
	material.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y;
	material.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y;
#endif`,rj=`uniform sampler2D dfgLUT;
struct PhysicalMaterial {
	vec3 diffuseColor;
	float roughness;
	vec3 specularColor;
	float specularF90;
	float dispersion;
	#ifdef USE_CLEARCOAT
		float clearcoat;
		float clearcoatRoughness;
		vec3 clearcoatF0;
		float clearcoatF90;
	#endif
	#ifdef USE_IRIDESCENCE
		float iridescence;
		float iridescenceIOR;
		float iridescenceThickness;
		vec3 iridescenceFresnel;
		vec3 iridescenceF0;
	#endif
	#ifdef USE_SHEEN
		vec3 sheenColor;
		float sheenRoughness;
	#endif
	#ifdef IOR
		float ior;
	#endif
	#ifdef USE_TRANSMISSION
		float transmission;
		float transmissionAlpha;
		float thickness;
		float attenuationDistance;
		vec3 attenuationColor;
	#endif
	#ifdef USE_ANISOTROPY
		float anisotropy;
		float alphaT;
		vec3 anisotropyT;
		vec3 anisotropyB;
	#endif
};
vec3 clearcoatSpecularDirect = vec3( 0.0 );
vec3 clearcoatSpecularIndirect = vec3( 0.0 );
vec3 sheenSpecularDirect = vec3( 0.0 );
vec3 sheenSpecularIndirect = vec3(0.0 );
vec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) {
    float x = clamp( 1.0 - dotVH, 0.0, 1.0 );
    float x2 = x * x;
    float x5 = clamp( x * x2 * x2, 0.0, 0.9999 );
    return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 );
}
float V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) {
	float a2 = pow2( alpha );
	float gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );
	float gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );
	return 0.5 / max( gv + gl, EPSILON );
}
float D_GGX( const in float alpha, const in float dotNH ) {
	float a2 = pow2( alpha );
	float denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0;
	return RECIPROCAL_PI * a2 / pow2( denom );
}
#ifdef USE_ANISOTROPY
	float V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) {
		float gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) );
		float gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) );
		float v = 0.5 / ( gv + gl );
		return saturate(v);
	}
	float D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) {
		float a2 = alphaT * alphaB;
		highp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH );
		highp float v2 = dot( v, v );
		float w2 = a2 / v2;
		return RECIPROCAL_PI * a2 * pow2 ( w2 );
	}
#endif
#ifdef USE_CLEARCOAT
	vec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) {
		vec3 f0 = material.clearcoatF0;
		float f90 = material.clearcoatF90;
		float roughness = material.clearcoatRoughness;
		float alpha = pow2( roughness );
		vec3 halfDir = normalize( lightDir + viewDir );
		float dotNL = saturate( dot( normal, lightDir ) );
		float dotNV = saturate( dot( normal, viewDir ) );
		float dotNH = saturate( dot( normal, halfDir ) );
		float dotVH = saturate( dot( viewDir, halfDir ) );
		vec3 F = F_Schlick( f0, f90, dotVH );
		float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );
		float D = D_GGX( alpha, dotNH );
		return F * ( V * D );
	}
#endif
vec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) {
	vec3 f0 = material.specularColor;
	float f90 = material.specularF90;
	float roughness = material.roughness;
	float alpha = pow2( roughness );
	vec3 halfDir = normalize( lightDir + viewDir );
	float dotNL = saturate( dot( normal, lightDir ) );
	float dotNV = saturate( dot( normal, viewDir ) );
	float dotNH = saturate( dot( normal, halfDir ) );
	float dotVH = saturate( dot( viewDir, halfDir ) );
	vec3 F = F_Schlick( f0, f90, dotVH );
	#ifdef USE_IRIDESCENCE
		F = mix( F, material.iridescenceFresnel, material.iridescence );
	#endif
	#ifdef USE_ANISOTROPY
		float dotTL = dot( material.anisotropyT, lightDir );
		float dotTV = dot( material.anisotropyT, viewDir );
		float dotTH = dot( material.anisotropyT, halfDir );
		float dotBL = dot( material.anisotropyB, lightDir );
		float dotBV = dot( material.anisotropyB, viewDir );
		float dotBH = dot( material.anisotropyB, halfDir );
		float V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL );
		float D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH );
	#else
		float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );
		float D = D_GGX( alpha, dotNH );
	#endif
	return F * ( V * D );
}
vec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) {
	const float LUT_SIZE = 64.0;
	const float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;
	const float LUT_BIAS = 0.5 / LUT_SIZE;
	float dotNV = saturate( dot( N, V ) );
	vec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) );
	uv = uv * LUT_SCALE + LUT_BIAS;
	return uv;
}
float LTC_ClippedSphereFormFactor( const in vec3 f ) {
	float l = length( f );
	return max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 );
}
vec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) {
	float x = dot( v1, v2 );
	float y = abs( x );
	float a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y;
	float b = 3.4175940 + ( 4.1616724 + y ) * y;
	float v = a / b;
	float theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;
	return cross( v1, v2 ) * theta_sintheta;
}
vec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {
	vec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];
	vec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];
	vec3 lightNormal = cross( v1, v2 );
	if( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );
	vec3 T1, T2;
	T1 = normalize( V - N * dot( V, N ) );
	T2 = - cross( N, T1 );
	mat3 mat = mInv * transpose( mat3( T1, T2, N ) );
	vec3 coords[ 4 ];
	coords[ 0 ] = mat * ( rectCoords[ 0 ] - P );
	coords[ 1 ] = mat * ( rectCoords[ 1 ] - P );
	coords[ 2 ] = mat * ( rectCoords[ 2 ] - P );
	coords[ 3 ] = mat * ( rectCoords[ 3 ] - P );
	coords[ 0 ] = normalize( coords[ 0 ] );
	coords[ 1 ] = normalize( coords[ 1 ] );
	coords[ 2 ] = normalize( coords[ 2 ] );
	coords[ 3 ] = normalize( coords[ 3 ] );
	vec3 vectorFormFactor = vec3( 0.0 );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );
	float result = LTC_ClippedSphereFormFactor( vectorFormFactor );
	return vec3( result );
}
#if defined( USE_SHEEN )
float D_Charlie( float roughness, float dotNH ) {
	float alpha = pow2( roughness );
	float invAlpha = 1.0 / alpha;
	float cos2h = dotNH * dotNH;
	float sin2h = max( 1.0 - cos2h, 0.0078125 );
	return ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI );
}
float V_Neubelt( float dotNV, float dotNL ) {
	return saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) );
}
vec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) {
	vec3 halfDir = normalize( lightDir + viewDir );
	float dotNL = saturate( dot( normal, lightDir ) );
	float dotNV = saturate( dot( normal, viewDir ) );
	float dotNH = saturate( dot( normal, halfDir ) );
	float D = D_Charlie( sheenRoughness, dotNH );
	float V = V_Neubelt( dotNV, dotNL );
	return sheenColor * ( D * V );
}
#endif
float IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {
	float dotNV = saturate( dot( normal, viewDir ) );
	float r2 = roughness * roughness;
	float a = roughness < 0.25 ? -339.2 * r2 + 161.4 * roughness - 25.9 : -8.48 * r2 + 14.3 * roughness - 9.95;
	float b = roughness < 0.25 ? 44.0 * r2 - 23.7 * roughness + 3.26 : 1.97 * r2 - 3.27 * roughness + 0.72;
	float DG = exp( a * dotNV + b ) + ( roughness < 0.25 ? 0.0 : 0.1 * ( roughness - 0.25 ) );
	return saturate( DG * RECIPROCAL_PI );
}
vec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {
	float dotNV = saturate( dot( normal, viewDir ) );
	vec2 uv = vec2( roughness, dotNV );
	return texture2D( dfgLUT, uv ).rg;
}
vec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) {
	vec2 fab = DFGApprox( normal, viewDir, roughness );
	return specularColor * fab.x + specularF90 * fab.y;
}
#ifdef USE_IRIDESCENCE
void computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {
#else
void computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {
#endif
	vec2 fab = DFGApprox( normal, viewDir, roughness );
	#ifdef USE_IRIDESCENCE
		vec3 Fr = mix( specularColor, iridescenceF0, iridescence );
	#else
		vec3 Fr = specularColor;
	#endif
	vec3 FssEss = Fr * fab.x + specularF90 * fab.y;
	float Ess = fab.x + fab.y;
	float Ems = 1.0 - Ess;
	vec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619;	vec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg );
	singleScatter += FssEss;
	multiScatter += Fms * Ems;
}
vec3 BRDF_GGX_Multiscatter( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) {
	vec3 singleScatter = BRDF_GGX( lightDir, viewDir, normal, material );
	float dotNL = saturate( dot( normal, lightDir ) );
	float dotNV = saturate( dot( normal, viewDir ) );
	vec2 dfgV = DFGApprox( vec3(0.0, 0.0, 1.0), vec3(sqrt(1.0 - dotNV * dotNV), 0.0, dotNV), material.roughness );
	vec2 dfgL = DFGApprox( vec3(0.0, 0.0, 1.0), vec3(sqrt(1.0 - dotNL * dotNL), 0.0, dotNL), material.roughness );
	vec3 FssEss_V = material.specularColor * dfgV.x + material.specularF90 * dfgV.y;
	vec3 FssEss_L = material.specularColor * dfgL.x + material.specularF90 * dfgL.y;
	float Ess_V = dfgV.x + dfgV.y;
	float Ess_L = dfgL.x + dfgL.y;
	float Ems_V = 1.0 - Ess_V;
	float Ems_L = 1.0 - Ess_L;
	vec3 Favg = material.specularColor + ( 1.0 - material.specularColor ) * 0.047619;
	vec3 Fms = FssEss_V * FssEss_L * Favg / ( 1.0 - Ems_V * Ems_L * Favg * Favg + EPSILON );
	float compensationFactor = Ems_V * Ems_L;
	vec3 multiScatter = Fms * compensationFactor;
	return singleScatter + multiScatter;
}
#if NUM_RECT_AREA_LIGHTS > 0
	void RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {
		vec3 normal = geometryNormal;
		vec3 viewDir = geometryViewDir;
		vec3 position = geometryPosition;
		vec3 lightPos = rectAreaLight.position;
		vec3 halfWidth = rectAreaLight.halfWidth;
		vec3 halfHeight = rectAreaLight.halfHeight;
		vec3 lightColor = rectAreaLight.color;
		float roughness = material.roughness;
		vec3 rectCoords[ 4 ];
		rectCoords[ 0 ] = lightPos + halfWidth - halfHeight;		rectCoords[ 1 ] = lightPos - halfWidth - halfHeight;
		rectCoords[ 2 ] = lightPos - halfWidth + halfHeight;
		rectCoords[ 3 ] = lightPos + halfWidth + halfHeight;
		vec2 uv = LTC_Uv( normal, viewDir, roughness );
		vec4 t1 = texture2D( ltc_1, uv );
		vec4 t2 = texture2D( ltc_2, uv );
		mat3 mInv = mat3(
			vec3( t1.x, 0, t1.y ),
			vec3(    0, 1,    0 ),
			vec3( t1.z, 0, t1.w )
		);
		vec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );
		reflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );
		reflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );
	}
#endif
void RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {
	float dotNL = saturate( dot( geometryNormal, directLight.direction ) );
	vec3 irradiance = dotNL * directLight.color;
	#ifdef USE_CLEARCOAT
		float dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) );
		vec3 ccIrradiance = dotNLcc * directLight.color;
		clearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material );
	#endif
	#ifdef USE_SHEEN
		sheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness );
	#endif
	reflectedLight.directSpecular += irradiance * BRDF_GGX_Multiscatter( directLight.direction, geometryViewDir, geometryNormal, material );
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {
	#ifdef USE_CLEARCOAT
		clearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );
	#endif
	#ifdef USE_SHEEN
		sheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness );
	#endif
	vec3 singleScattering = vec3( 0.0 );
	vec3 multiScattering = vec3( 0.0 );
	vec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;
	#ifdef USE_IRIDESCENCE
		computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnel, material.roughness, singleScattering, multiScattering );
	#else
		computeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering );
	#endif
	vec3 totalScattering = singleScattering + multiScattering;
	vec3 diffuse = material.diffuseColor * ( 1.0 - max( max( totalScattering.r, totalScattering.g ), totalScattering.b ) );
	reflectedLight.indirectSpecular += radiance * singleScattering;
	reflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;
	reflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;
}
#define RE_Direct				RE_Direct_Physical
#define RE_Direct_RectArea		RE_Direct_RectArea_Physical
#define RE_IndirectDiffuse		RE_IndirectDiffuse_Physical
#define RE_IndirectSpecular		RE_IndirectSpecular_Physical
float computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {
	return saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );
}`,ij=`
vec3 geometryPosition = - vViewPosition;
vec3 geometryNormal = normal;
vec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition );
vec3 geometryClearcoatNormal = vec3( 0.0 );
#ifdef USE_CLEARCOAT
	geometryClearcoatNormal = clearcoatNormal;
#endif
#ifdef USE_IRIDESCENCE
	float dotNVi = saturate( dot( normal, geometryViewDir ) );
	if ( material.iridescenceThickness == 0.0 ) {
		material.iridescence = 0.0;
	} else {
		material.iridescence = saturate( material.iridescence );
	}
	if ( material.iridescence > 0.0 ) {
		material.iridescenceFresnel = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor );
		material.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi );
	}
#endif
IncidentLight directLight;
#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )
	PointLight pointLight;
	#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0
	PointLightShadow pointLightShadow;
	#endif
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {
		pointLight = pointLights[ i ];
		getPointLightInfo( pointLight, geometryPosition, directLight );
		#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS )
		pointLightShadow = pointLightShadows[ i ];
		directLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowIntensity, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0;
		#endif
		RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )
	SpotLight spotLight;
	vec4 spotColor;
	vec3 spotLightCoord;
	bool inSpotLightMap;
	#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0
	SpotLightShadow spotLightShadow;
	#endif
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {
		spotLight = spotLights[ i ];
		getSpotLightInfo( spotLight, geometryPosition, directLight );
		#if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )
		#define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX
		#elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )
		#define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS
		#else
		#define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )
		#endif
		#if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS )
			spotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w;
			inSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) );
			spotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy );
			directLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color;
		#endif
		#undef SPOT_LIGHT_MAP_INDEX
		#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )
		spotLightShadow = spotLightShadows[ i ];
		directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowIntensity, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;
		#endif
		RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )
	DirectionalLight directionalLight;
	#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0
	DirectionalLightShadow directionalLightShadow;
	#endif
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {
		directionalLight = directionalLights[ i ];
		getDirectionalLightInfo( directionalLight, directLight );
		#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS )
		directionalLightShadow = directionalLightShadows[ i ];
		directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowIntensity, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;
		#endif
		RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )
	RectAreaLight rectAreaLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {
		rectAreaLight = rectAreaLights[ i ];
		RE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if defined( RE_IndirectDiffuse )
	vec3 iblIrradiance = vec3( 0.0 );
	vec3 irradiance = getAmbientLightIrradiance( ambientLightColor );
	#if defined( USE_LIGHT_PROBES )
		irradiance += getLightProbeIrradiance( lightProbe, geometryNormal );
	#endif
	#if ( NUM_HEMI_LIGHTS > 0 )
		#pragma unroll_loop_start
		for ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {
			irradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal );
		}
		#pragma unroll_loop_end
	#endif
#endif
#if defined( RE_IndirectSpecular )
	vec3 radiance = vec3( 0.0 );
	vec3 clearcoatRadiance = vec3( 0.0 );
#endif`,sj=`#if defined( RE_IndirectDiffuse )
	#ifdef USE_LIGHTMAP
		vec4 lightMapTexel = texture2D( lightMap, vLightMapUv );
		vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity;
		irradiance += lightMapIrradiance;
	#endif
	#if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV )
		iblIrradiance += getIBLIrradiance( geometryNormal );
	#endif
#endif
#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )
	#ifdef USE_ANISOTROPY
		radiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy );
	#else
		radiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness );
	#endif
	#ifdef USE_CLEARCOAT
		clearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness );
	#endif
#endif`,aj=`#if defined( RE_IndirectDiffuse )
	RE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
#endif
#if defined( RE_IndirectSpecular )
	RE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
#endif`,oj=`#if defined( USE_LOGARITHMIC_DEPTH_BUFFER )
	gl_FragDepth = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5;
#endif`,lj=`#if defined( USE_LOGARITHMIC_DEPTH_BUFFER )
	uniform float logDepthBufFC;
	varying float vFragDepth;
	varying float vIsPerspective;
#endif`,uj=`#ifdef USE_LOGARITHMIC_DEPTH_BUFFER
	varying float vFragDepth;
	varying float vIsPerspective;
#endif`,cj=`#ifdef USE_LOGARITHMIC_DEPTH_BUFFER
	vFragDepth = 1.0 + gl_Position.w;
	vIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) );
#endif`,dj=`#ifdef USE_MAP
	vec4 sampledDiffuseColor = texture2D( map, vMapUv );
	#ifdef DECODE_VIDEO_TEXTURE
		sampledDiffuseColor = sRGBTransferEOTF( sampledDiffuseColor );
	#endif
	diffuseColor *= sampledDiffuseColor;
#endif`,fj=`#ifdef USE_MAP
	uniform sampler2D map;
#endif`,hj=`#if defined( USE_MAP ) || defined( USE_ALPHAMAP )
	#if defined( USE_POINTS_UV )
		vec2 uv = vUv;
	#else
		vec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;
	#endif
#endif
#ifdef USE_MAP
	diffuseColor *= texture2D( map, uv );
#endif
#ifdef USE_ALPHAMAP
	diffuseColor.a *= texture2D( alphaMap, uv ).g;
#endif`,pj=`#if defined( USE_POINTS_UV )
	varying vec2 vUv;
#else
	#if defined( USE_MAP ) || defined( USE_ALPHAMAP )
		uniform mat3 uvTransform;
	#endif
#endif
#ifdef USE_MAP
	uniform sampler2D map;
#endif
#ifdef USE_ALPHAMAP
	uniform sampler2D alphaMap;
#endif`,mj=`float metalnessFactor = metalness;
#ifdef USE_METALNESSMAP
	vec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv );
	metalnessFactor *= texelMetalness.b;
#endif`,gj=`#ifdef USE_METALNESSMAP
	uniform sampler2D metalnessMap;
#endif`,vj=`#ifdef USE_INSTANCING_MORPH
	float morphTargetInfluences[ MORPHTARGETS_COUNT ];
	float morphTargetBaseInfluence = texelFetch( morphTexture, ivec2( 0, gl_InstanceID ), 0 ).r;
	for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {
		morphTargetInfluences[i] =  texelFetch( morphTexture, ivec2( i + 1, gl_InstanceID ), 0 ).r;
	}
#endif`,Aj=`#if defined( USE_MORPHCOLORS )
	vColor *= morphTargetBaseInfluence;
	for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {
		#if defined( USE_COLOR_ALPHA )
			if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ];
		#elif defined( USE_COLOR )
			if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ];
		#endif
	}
#endif`,xj=`#ifdef USE_MORPHNORMALS
	objectNormal *= morphTargetBaseInfluence;
	for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {
		if ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ];
	}
#endif`,yj=`#ifdef USE_MORPHTARGETS
	#ifndef USE_INSTANCING_MORPH
		uniform float morphTargetBaseInfluence;
		uniform float morphTargetInfluences[ MORPHTARGETS_COUNT ];
	#endif
	uniform sampler2DArray morphTargetsTexture;
	uniform ivec2 morphTargetsTextureSize;
	vec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) {
		int texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset;
		int y = texelIndex / morphTargetsTextureSize.x;
		int x = texelIndex - y * morphTargetsTextureSize.x;
		ivec3 morphUV = ivec3( x, y, morphTargetIndex );
		return texelFetch( morphTargetsTexture, morphUV, 0 );
	}
#endif`,bj=`#ifdef USE_MORPHTARGETS
	transformed *= morphTargetBaseInfluence;
	for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {
		if ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ];
	}
#endif`,Ej=`float faceDirection = gl_FrontFacing ? 1.0 : - 1.0;
#ifdef FLAT_SHADED
	vec3 fdx = dFdx( vViewPosition );
	vec3 fdy = dFdy( vViewPosition );
	vec3 normal = normalize( cross( fdx, fdy ) );
#else
	vec3 normal = normalize( vNormal );
	#ifdef DOUBLE_SIDED
		normal *= faceDirection;
	#endif
#endif
#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY )
	#ifdef USE_TANGENT
		mat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal );
	#else
		mat3 tbn = getTangentFrame( - vViewPosition, normal,
		#if defined( USE_NORMALMAP )
			vNormalMapUv
		#elif defined( USE_CLEARCOAT_NORMALMAP )
			vClearcoatNormalMapUv
		#else
			vUv
		#endif
		);
	#endif
	#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )
		tbn[0] *= faceDirection;
		tbn[1] *= faceDirection;
	#endif
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	#ifdef USE_TANGENT
		mat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal );
	#else
		mat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv );
	#endif
	#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )
		tbn2[0] *= faceDirection;
		tbn2[1] *= faceDirection;
	#endif
#endif
vec3 nonPerturbedNormal = normal;`,wj=`#ifdef USE_NORMALMAP_OBJECTSPACE
	normal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;
	#ifdef FLIP_SIDED
		normal = - normal;
	#endif
	#ifdef DOUBLE_SIDED
		normal = normal * faceDirection;
	#endif
	normal = normalize( normalMatrix * normal );
#elif defined( USE_NORMALMAP_TANGENTSPACE )
	vec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;
	mapN.xy *= normalScale;
	normal = normalize( tbn * mapN );
#elif defined( USE_BUMPMAP )
	normal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection );
#endif`,Cj=`#ifndef FLAT_SHADED
	varying vec3 vNormal;
	#ifdef USE_TANGENT
		varying vec3 vTangent;
		varying vec3 vBitangent;
	#endif
#endif`,Pj=`#ifndef FLAT_SHADED
	varying vec3 vNormal;
	#ifdef USE_TANGENT
		varying vec3 vTangent;
		varying vec3 vBitangent;
	#endif
#endif`,Sj=`#ifndef FLAT_SHADED
	vNormal = normalize( transformedNormal );
	#ifdef USE_TANGENT
		vTangent = normalize( transformedTangent );
		vBitangent = normalize( cross( vNormal, vTangent ) * tangent.w );
	#endif
#endif`,Bj=`#ifdef USE_NORMALMAP
	uniform sampler2D normalMap;
	uniform vec2 normalScale;
#endif
#ifdef USE_NORMALMAP_OBJECTSPACE
	uniform mat3 normalMatrix;
#endif
#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) )
	mat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) {
		vec3 q0 = dFdx( eye_pos.xyz );
		vec3 q1 = dFdy( eye_pos.xyz );
		vec2 st0 = dFdx( uv.st );
		vec2 st1 = dFdy( uv.st );
		vec3 N = surf_norm;
		vec3 q1perp = cross( q1, N );
		vec3 q0perp = cross( N, q0 );
		vec3 T = q1perp * st0.x + q0perp * st1.x;
		vec3 B = q1perp * st0.y + q0perp * st1.y;
		float det = max( dot( T, T ), dot( B, B ) );
		float scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det );
		return mat3( T * scale, B * scale, N );
	}
#endif`,Mj=`#ifdef USE_CLEARCOAT
	vec3 clearcoatNormal = nonPerturbedNormal;
#endif`,Tj=`#ifdef USE_CLEARCOAT_NORMALMAP
	vec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0;
	clearcoatMapN.xy *= clearcoatNormalScale;
	clearcoatNormal = normalize( tbn2 * clearcoatMapN );
#endif`,Dj=`#ifdef USE_CLEARCOATMAP
	uniform sampler2D clearcoatMap;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	uniform sampler2D clearcoatNormalMap;
	uniform vec2 clearcoatNormalScale;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	uniform sampler2D clearcoatRoughnessMap;
#endif`,Ij=`#ifdef USE_IRIDESCENCEMAP
	uniform sampler2D iridescenceMap;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	uniform sampler2D iridescenceThicknessMap;
#endif`,Nj=`#ifdef OPAQUE
diffuseColor.a = 1.0;
#endif
#ifdef USE_TRANSMISSION
diffuseColor.a *= material.transmissionAlpha;
#endif
gl_FragColor = vec4( outgoingLight, diffuseColor.a );`,Fj=`vec3 packNormalToRGB( const in vec3 normal ) {
	return normalize( normal ) * 0.5 + 0.5;
}
vec3 unpackRGBToNormal( const in vec3 rgb ) {
	return 2.0 * rgb.xyz - 1.0;
}
const float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;const float ShiftRight8 = 1. / 256.;
const float Inv255 = 1. / 255.;
const vec4 PackFactors = vec4( 1.0, 256.0, 256.0 * 256.0, 256.0 * 256.0 * 256.0 );
const vec2 UnpackFactors2 = vec2( UnpackDownscale, 1.0 / PackFactors.g );
const vec3 UnpackFactors3 = vec3( UnpackDownscale / PackFactors.rg, 1.0 / PackFactors.b );
const vec4 UnpackFactors4 = vec4( UnpackDownscale / PackFactors.rgb, 1.0 / PackFactors.a );
vec4 packDepthToRGBA( const in float v ) {
	if( v <= 0.0 )
		return vec4( 0., 0., 0., 0. );
	if( v >= 1.0 )
		return vec4( 1., 1., 1., 1. );
	float vuf;
	float af = modf( v * PackFactors.a, vuf );
	float bf = modf( vuf * ShiftRight8, vuf );
	float gf = modf( vuf * ShiftRight8, vuf );
	return vec4( vuf * Inv255, gf * PackUpscale, bf * PackUpscale, af );
}
vec3 packDepthToRGB( const in float v ) {
	if( v <= 0.0 )
		return vec3( 0., 0., 0. );
	if( v >= 1.0 )
		return vec3( 1., 1., 1. );
	float vuf;
	float bf = modf( v * PackFactors.b, vuf );
	float gf = modf( vuf * ShiftRight8, vuf );
	return vec3( vuf * Inv255, gf * PackUpscale, bf );
}
vec2 packDepthToRG( const in float v ) {
	if( v <= 0.0 )
		return vec2( 0., 0. );
	if( v >= 1.0 )
		return vec2( 1., 1. );
	float vuf;
	float gf = modf( v * 256., vuf );
	return vec2( vuf * Inv255, gf );
}
float unpackRGBAToDepth( const in vec4 v ) {
	return dot( v, UnpackFactors4 );
}
float unpackRGBToDepth( const in vec3 v ) {
	return dot( v, UnpackFactors3 );
}
float unpackRGToDepth( const in vec2 v ) {
	return v.r * UnpackFactors2.r + v.g * UnpackFactors2.g;
}
vec4 pack2HalfToRGBA( const in vec2 v ) {
	vec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) );
	return vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w );
}
vec2 unpackRGBATo2Half( const in vec4 v ) {
	return vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) );
}
float viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {
	return ( viewZ + near ) / ( near - far );
}
float orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) {
	return depth * ( near - far ) - near;
}
float viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {
	return ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ );
}
float perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) {
	return ( near * far ) / ( ( far - near ) * depth - far );
}`,Lj=`#ifdef PREMULTIPLIED_ALPHA
	gl_FragColor.rgb *= gl_FragColor.a;
#endif`,Rj=`vec4 mvPosition = vec4( transformed, 1.0 );
#ifdef USE_BATCHING
	mvPosition = batchingMatrix * mvPosition;
#endif
#ifdef USE_INSTANCING
	mvPosition = instanceMatrix * mvPosition;
#endif
mvPosition = modelViewMatrix * mvPosition;
gl_Position = projectionMatrix * mvPosition;`,Oj=`#ifdef DITHERING
	gl_FragColor.rgb = dithering( gl_FragColor.rgb );
#endif`,zj=`#ifdef DITHERING
	vec3 dithering( vec3 color ) {
		float grid_position = rand( gl_FragCoord.xy );
		vec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );
		dither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );
		return color + dither_shift_RGB;
	}
#endif`,kj=`float roughnessFactor = roughness;
#ifdef USE_ROUGHNESSMAP
	vec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv );
	roughnessFactor *= texelRoughness.g;
#endif`,Hj=`#ifdef USE_ROUGHNESSMAP
	uniform sampler2D roughnessMap;
#endif`,Uj=`#if NUM_SPOT_LIGHT_COORDS > 0
	varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];
#endif
#if NUM_SPOT_LIGHT_MAPS > 0
	uniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ];
#endif
#ifdef USE_SHADOWMAP
	#if NUM_DIR_LIGHT_SHADOWS > 0
		uniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ];
		varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];
		struct DirectionalLightShadow {
			float shadowIntensity;
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];
	#endif
	#if NUM_SPOT_LIGHT_SHADOWS > 0
		uniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ];
		struct SpotLightShadow {
			float shadowIntensity;
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
		uniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ];
		varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];
		struct PointLightShadow {
			float shadowIntensity;
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
			float shadowCameraNear;
			float shadowCameraFar;
		};
		uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];
	#endif
	float texture2DCompare( sampler2D depths, vec2 uv, float compare ) {
		float depth = unpackRGBAToDepth( texture2D( depths, uv ) );
		#ifdef USE_REVERSED_DEPTH_BUFFER
			return step( depth, compare );
		#else
			return step( compare, depth );
		#endif
	}
	vec2 texture2DDistribution( sampler2D shadow, vec2 uv ) {
		return unpackRGBATo2Half( texture2D( shadow, uv ) );
	}
	float VSMShadow( sampler2D shadow, vec2 uv, float compare ) {
		float occlusion = 1.0;
		vec2 distribution = texture2DDistribution( shadow, uv );
		#ifdef USE_REVERSED_DEPTH_BUFFER
			float hard_shadow = step( distribution.x, compare );
		#else
			float hard_shadow = step( compare, distribution.x );
		#endif
		if ( hard_shadow != 1.0 ) {
			float distance = compare - distribution.x;
			float variance = max( 0.00000, distribution.y * distribution.y );
			float softness_probability = variance / (variance + distance * distance );			softness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 );			occlusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 );
		}
		return occlusion;
	}
	float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord ) {
		float shadow = 1.0;
		shadowCoord.xyz /= shadowCoord.w;
		shadowCoord.z += shadowBias;
		bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0;
		bool frustumTest = inFrustum && shadowCoord.z <= 1.0;
		if ( frustumTest ) {
		#if defined( SHADOWMAP_TYPE_PCF )
			vec2 texelSize = vec2( 1.0 ) / shadowMapSize;
			float dx0 = - texelSize.x * shadowRadius;
			float dy0 = - texelSize.y * shadowRadius;
			float dx1 = + texelSize.x * shadowRadius;
			float dy1 = + texelSize.y * shadowRadius;
			float dx2 = dx0 / 2.0;
			float dy2 = dy0 / 2.0;
			float dx3 = dx1 / 2.0;
			float dy3 = dy1 / 2.0;
			shadow = (
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )
			) * ( 1.0 / 17.0 );
		#elif defined( SHADOWMAP_TYPE_PCF_SOFT )
			vec2 texelSize = vec2( 1.0 ) / shadowMapSize;
			float dx = texelSize.x;
			float dy = texelSize.y;
			vec2 uv = shadowCoord.xy;
			vec2 f = fract( uv * shadowMapSize + 0.5 );
			uv -= f * texelSize;
			shadow = (
				texture2DCompare( shadowMap, uv, shadowCoord.z ) +
				texture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) +
				texture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) +
				mix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ),
					 f.x ) +
				mix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ),
					 f.x ) +
				mix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ),
					 f.y ) +
				mix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ),
					 f.y ) +
				mix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ),
						  texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ),
						  f.x ),
					 mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ),
						  texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ),
						  f.x ),
					 f.y )
			) * ( 1.0 / 9.0 );
		#elif defined( SHADOWMAP_TYPE_VSM )
			shadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z );
		#else
			shadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );
		#endif
		}
		return mix( 1.0, shadow, shadowIntensity );
	}
	vec2 cubeToUV( vec3 v, float texelSizeY ) {
		vec3 absV = abs( v );
		float scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );
		absV *= scaleToCube;
		v *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );
		vec2 planar = v.xy;
		float almostATexel = 1.5 * texelSizeY;
		float almostOne = 1.0 - almostATexel;
		if ( absV.z >= almostOne ) {
			if ( v.z > 0.0 )
				planar.x = 4.0 - v.x;
		} else if ( absV.x >= almostOne ) {
			float signX = sign( v.x );
			planar.x = v.z * signX + 2.0 * signX;
		} else if ( absV.y >= almostOne ) {
			float signY = sign( v.y );
			planar.x = v.x + 2.0 * signY + 2.0;
			planar.y = v.z * signY - 2.0;
		}
		return vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );
	}
	float getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowIntensity, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {
		float shadow = 1.0;
		vec3 lightToPosition = shadowCoord.xyz;
		
		float lightToPositionLength = length( lightToPosition );
		if ( lightToPositionLength - shadowCameraFar <= 0.0 && lightToPositionLength - shadowCameraNear >= 0.0 ) {
			float dp = ( lightToPositionLength - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear );			dp += shadowBias;
			vec3 bd3D = normalize( lightToPosition );
			vec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );
			#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM )
				vec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;
				shadow = (
					texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +
					texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +
					texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +
					texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +
					texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +
					texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +
					texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +
					texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +
					texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )
				) * ( 1.0 / 9.0 );
			#else
				shadow = texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );
			#endif
		}
		return mix( 1.0, shadow, shadowIntensity );
	}
#endif`,jj=`#if NUM_SPOT_LIGHT_COORDS > 0
	uniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ];
	varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];
#endif
#ifdef USE_SHADOWMAP
	#if NUM_DIR_LIGHT_SHADOWS > 0
		uniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ];
		varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];
		struct DirectionalLightShadow {
			float shadowIntensity;
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];
	#endif
	#if NUM_SPOT_LIGHT_SHADOWS > 0
		struct SpotLightShadow {
			float shadowIntensity;
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
		uniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ];
		varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];
		struct PointLightShadow {
			float shadowIntensity;
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
			float shadowCameraNear;
			float shadowCameraFar;
		};
		uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];
	#endif
#endif`,Vj=`#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 )
	vec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix );
	vec4 shadowWorldPosition;
#endif
#if defined( USE_SHADOWMAP )
	#if NUM_DIR_LIGHT_SHADOWS > 0
		#pragma unroll_loop_start
		for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {
			shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 );
			vDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition;
		}
		#pragma unroll_loop_end
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
		#pragma unroll_loop_start
		for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {
			shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 );
			vPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition;
		}
		#pragma unroll_loop_end
	#endif
#endif
#if NUM_SPOT_LIGHT_COORDS > 0
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) {
		shadowWorldPosition = worldPosition;
		#if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )
			shadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias;
		#endif
		vSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition;
	}
	#pragma unroll_loop_end
#endif`,Gj=`float getShadowMask() {
	float shadow = 1.0;
	#ifdef USE_SHADOWMAP
	#if NUM_DIR_LIGHT_SHADOWS > 0
	DirectionalLightShadow directionalLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {
		directionalLight = directionalLightShadows[ i ];
		shadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowIntensity, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;
	}
	#pragma unroll_loop_end
	#endif
	#if NUM_SPOT_LIGHT_SHADOWS > 0
	SpotLightShadow spotLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {
		spotLight = spotLightShadows[ i ];
		shadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowIntensity, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;
	}
	#pragma unroll_loop_end
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
	PointLightShadow pointLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {
		pointLight = pointLightShadows[ i ];
		shadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowIntensity, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;
	}
	#pragma unroll_loop_end
	#endif
	#endif
	return shadow;
}`,Xj=`#ifdef USE_SKINNING
	mat4 boneMatX = getBoneMatrix( skinIndex.x );
	mat4 boneMatY = getBoneMatrix( skinIndex.y );
	mat4 boneMatZ = getBoneMatrix( skinIndex.z );
	mat4 boneMatW = getBoneMatrix( skinIndex.w );
#endif`,Wj=`#ifdef USE_SKINNING
	uniform mat4 bindMatrix;
	uniform mat4 bindMatrixInverse;
	uniform highp sampler2D boneTexture;
	mat4 getBoneMatrix( const in float i ) {
		int size = textureSize( boneTexture, 0 ).x;
		int j = int( i ) * 4;
		int x = j % size;
		int y = j / size;
		vec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 );
		vec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 );
		vec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 );
		vec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 );
		return mat4( v1, v2, v3, v4 );
	}
#endif`,Qj=`#ifdef USE_SKINNING
	vec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );
	vec4 skinned = vec4( 0.0 );
	skinned += boneMatX * skinVertex * skinWeight.x;
	skinned += boneMatY * skinVertex * skinWeight.y;
	skinned += boneMatZ * skinVertex * skinWeight.z;
	skinned += boneMatW * skinVertex * skinWeight.w;
	transformed = ( bindMatrixInverse * skinned ).xyz;
#endif`,Zj=`#ifdef USE_SKINNING
	mat4 skinMatrix = mat4( 0.0 );
	skinMatrix += skinWeight.x * boneMatX;
	skinMatrix += skinWeight.y * boneMatY;
	skinMatrix += skinWeight.z * boneMatZ;
	skinMatrix += skinWeight.w * boneMatW;
	skinMatrix = bindMatrixInverse * skinMatrix * bindMatrix;
	objectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;
	#ifdef USE_TANGENT
		objectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz;
	#endif
#endif`,Yj=`float specularStrength;
#ifdef USE_SPECULARMAP
	vec4 texelSpecular = texture2D( specularMap, vSpecularMapUv );
	specularStrength = texelSpecular.r;
#else
	specularStrength = 1.0;
#endif`,Jj=`#ifdef USE_SPECULARMAP
	uniform sampler2D specularMap;
#endif`,Kj=`#if defined( TONE_MAPPING )
	gl_FragColor.rgb = toneMapping( gl_FragColor.rgb );
#endif`,qj=`#ifndef saturate
#define saturate( a ) clamp( a, 0.0, 1.0 )
#endif
uniform float toneMappingExposure;
vec3 LinearToneMapping( vec3 color ) {
	return saturate( toneMappingExposure * color );
}
vec3 ReinhardToneMapping( vec3 color ) {
	color *= toneMappingExposure;
	return saturate( color / ( vec3( 1.0 ) + color ) );
}
vec3 CineonToneMapping( vec3 color ) {
	color *= toneMappingExposure;
	color = max( vec3( 0.0 ), color - 0.004 );
	return pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );
}
vec3 RRTAndODTFit( vec3 v ) {
	vec3 a = v * ( v + 0.0245786 ) - 0.000090537;
	vec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081;
	return a / b;
}
vec3 ACESFilmicToneMapping( vec3 color ) {
	const mat3 ACESInputMat = mat3(
		vec3( 0.59719, 0.07600, 0.02840 ),		vec3( 0.35458, 0.90834, 0.13383 ),
		vec3( 0.04823, 0.01566, 0.83777 )
	);
	const mat3 ACESOutputMat = mat3(
		vec3(  1.60475, -0.10208, -0.00327 ),		vec3( -0.53108,  1.10813, -0.07276 ),
		vec3( -0.07367, -0.00605,  1.07602 )
	);
	color *= toneMappingExposure / 0.6;
	color = ACESInputMat * color;
	color = RRTAndODTFit( color );
	color = ACESOutputMat * color;
	return saturate( color );
}
const mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3(
	vec3( 1.6605, - 0.1246, - 0.0182 ),
	vec3( - 0.5876, 1.1329, - 0.1006 ),
	vec3( - 0.0728, - 0.0083, 1.1187 )
);
const mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3(
	vec3( 0.6274, 0.0691, 0.0164 ),
	vec3( 0.3293, 0.9195, 0.0880 ),
	vec3( 0.0433, 0.0113, 0.8956 )
);
vec3 agxDefaultContrastApprox( vec3 x ) {
	vec3 x2 = x * x;
	vec3 x4 = x2 * x2;
	return + 15.5 * x4 * x2
		- 40.14 * x4 * x
		+ 31.96 * x4
		- 6.868 * x2 * x
		+ 0.4298 * x2
		+ 0.1191 * x
		- 0.00232;
}
vec3 AgXToneMapping( vec3 color ) {
	const mat3 AgXInsetMatrix = mat3(
		vec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ),
		vec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ),
		vec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 )
	);
	const mat3 AgXOutsetMatrix = mat3(
		vec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ),
		vec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ),
		vec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 )
	);
	const float AgxMinEv = - 12.47393;	const float AgxMaxEv = 4.026069;
	color *= toneMappingExposure;
	color = LINEAR_SRGB_TO_LINEAR_REC2020 * color;
	color = AgXInsetMatrix * color;
	color = max( color, 1e-10 );	color = log2( color );
	color = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv );
	color = clamp( color, 0.0, 1.0 );
	color = agxDefaultContrastApprox( color );
	color = AgXOutsetMatrix * color;
	color = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) );
	color = LINEAR_REC2020_TO_LINEAR_SRGB * color;
	color = clamp( color, 0.0, 1.0 );
	return color;
}
vec3 NeutralToneMapping( vec3 color ) {
	const float StartCompression = 0.8 - 0.04;
	const float Desaturation = 0.15;
	color *= toneMappingExposure;
	float x = min( color.r, min( color.g, color.b ) );
	float offset = x < 0.08 ? x - 6.25 * x * x : 0.04;
	color -= offset;
	float peak = max( color.r, max( color.g, color.b ) );
	if ( peak < StartCompression ) return color;
	float d = 1. - StartCompression;
	float newPeak = 1. - d * d / ( peak + d - StartCompression );
	color *= newPeak / peak;
	float g = 1. - 1. / ( Desaturation * ( peak - newPeak ) + 1. );
	return mix( color, vec3( newPeak ), g );
}
vec3 CustomToneMapping( vec3 color ) { return color; }`,_j=`#ifdef USE_TRANSMISSION
	material.transmission = transmission;
	material.transmissionAlpha = 1.0;
	material.thickness = thickness;
	material.attenuationDistance = attenuationDistance;
	material.attenuationColor = attenuationColor;
	#ifdef USE_TRANSMISSIONMAP
		material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r;
	#endif
	#ifdef USE_THICKNESSMAP
		material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g;
	#endif
	vec3 pos = vWorldPosition;
	vec3 v = normalize( cameraPosition - pos );
	vec3 n = inverseTransformDirection( normal, viewMatrix );
	vec4 transmitted = getIBLVolumeRefraction(
		n, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,
		pos, modelMatrix, viewMatrix, projectionMatrix, material.dispersion, material.ior, material.thickness,
		material.attenuationColor, material.attenuationDistance );
	material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission );
	totalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission );
#endif`,$j=`#ifdef USE_TRANSMISSION
	uniform float transmission;
	uniform float thickness;
	uniform float attenuationDistance;
	uniform vec3 attenuationColor;
	#ifdef USE_TRANSMISSIONMAP
		uniform sampler2D transmissionMap;
	#endif
	#ifdef USE_THICKNESSMAP
		uniform sampler2D thicknessMap;
	#endif
	uniform vec2 transmissionSamplerSize;
	uniform sampler2D transmissionSamplerMap;
	uniform mat4 modelMatrix;
	uniform mat4 projectionMatrix;
	varying vec3 vWorldPosition;
	float w0( float a ) {
		return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 );
	}
	float w1( float a ) {
		return ( 1.0 / 6.0 ) * ( a *  a * ( 3.0 * a - 6.0 ) + 4.0 );
	}
	float w2( float a ){
		return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 );
	}
	float w3( float a ) {
		return ( 1.0 / 6.0 ) * ( a * a * a );
	}
	float g0( float a ) {
		return w0( a ) + w1( a );
	}
	float g1( float a ) {
		return w2( a ) + w3( a );
	}
	float h0( float a ) {
		return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) );
	}
	float h1( float a ) {
		return 1.0 + w3( a ) / ( w2( a ) + w3( a ) );
	}
	vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) {
		uv = uv * texelSize.zw + 0.5;
		vec2 iuv = floor( uv );
		vec2 fuv = fract( uv );
		float g0x = g0( fuv.x );
		float g1x = g1( fuv.x );
		float h0x = h0( fuv.x );
		float h1x = h1( fuv.x );
		float h0y = h0( fuv.y );
		float h1y = h1( fuv.y );
		vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;
		vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;
		vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;
		vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;
		return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) +
			g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) );
	}
	vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) {
		vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) );
		vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) );
		vec2 fLodSizeInv = 1.0 / fLodSize;
		vec2 cLodSizeInv = 1.0 / cLodSize;
		vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) );
		vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) );
		return mix( fSample, cSample, fract( lod ) );
	}
	vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) {
		vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior );
		vec3 modelScale;
		modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) );
		modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) );
		modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) );
		return normalize( refractionVector ) * thickness * modelScale;
	}
	float applyIorToRoughness( const in float roughness, const in float ior ) {
		return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 );
	}
	vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) {
		float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior );
		return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod );
	}
	vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) {
		if ( isinf( attenuationDistance ) ) {
			return vec3( 1.0 );
		} else {
			vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance;
			vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance );			return transmittance;
		}
	}
	vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor,
		const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix,
		const in mat4 viewMatrix, const in mat4 projMatrix, const in float dispersion, const in float ior, const in float thickness,
		const in vec3 attenuationColor, const in float attenuationDistance ) {
		vec4 transmittedLight;
		vec3 transmittance;
		#ifdef USE_DISPERSION
			float halfSpread = ( ior - 1.0 ) * 0.025 * dispersion;
			vec3 iors = vec3( ior - halfSpread, ior, ior + halfSpread );
			for ( int i = 0; i < 3; i ++ ) {
				vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, iors[ i ], modelMatrix );
				vec3 refractedRayExit = position + transmissionRay;
				vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );
				vec2 refractionCoords = ndcPos.xy / ndcPos.w;
				refractionCoords += 1.0;
				refractionCoords /= 2.0;
				vec4 transmissionSample = getTransmissionSample( refractionCoords, roughness, iors[ i ] );
				transmittedLight[ i ] = transmissionSample[ i ];
				transmittedLight.a += transmissionSample.a;
				transmittance[ i ] = diffuseColor[ i ] * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance )[ i ];
			}
			transmittedLight.a /= 3.0;
		#else
			vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix );
			vec3 refractedRayExit = position + transmissionRay;
			vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );
			vec2 refractionCoords = ndcPos.xy / ndcPos.w;
			refractionCoords += 1.0;
			refractionCoords /= 2.0;
			transmittedLight = getTransmissionSample( refractionCoords, roughness, ior );
			transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance );
		#endif
		vec3 attenuatedColor = transmittance * transmittedLight.rgb;
		vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness );
		float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0;
		return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor );
	}
#endif`,eV=`#if defined( USE_UV ) || defined( USE_ANISOTROPY )
	varying vec2 vUv;
#endif
#ifdef USE_MAP
	varying vec2 vMapUv;
#endif
#ifdef USE_ALPHAMAP
	varying vec2 vAlphaMapUv;
#endif
#ifdef USE_LIGHTMAP
	varying vec2 vLightMapUv;
#endif
#ifdef USE_AOMAP
	varying vec2 vAoMapUv;
#endif
#ifdef USE_BUMPMAP
	varying vec2 vBumpMapUv;
#endif
#ifdef USE_NORMALMAP
	varying vec2 vNormalMapUv;
#endif
#ifdef USE_EMISSIVEMAP
	varying vec2 vEmissiveMapUv;
#endif
#ifdef USE_METALNESSMAP
	varying vec2 vMetalnessMapUv;
#endif
#ifdef USE_ROUGHNESSMAP
	varying vec2 vRoughnessMapUv;
#endif
#ifdef USE_ANISOTROPYMAP
	varying vec2 vAnisotropyMapUv;
#endif
#ifdef USE_CLEARCOATMAP
	varying vec2 vClearcoatMapUv;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	varying vec2 vClearcoatNormalMapUv;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	varying vec2 vClearcoatRoughnessMapUv;
#endif
#ifdef USE_IRIDESCENCEMAP
	varying vec2 vIridescenceMapUv;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	varying vec2 vIridescenceThicknessMapUv;
#endif
#ifdef USE_SHEEN_COLORMAP
	varying vec2 vSheenColorMapUv;
#endif
#ifdef USE_SHEEN_ROUGHNESSMAP
	varying vec2 vSheenRoughnessMapUv;
#endif
#ifdef USE_SPECULARMAP
	varying vec2 vSpecularMapUv;
#endif
#ifdef USE_SPECULAR_COLORMAP
	varying vec2 vSpecularColorMapUv;
#endif
#ifdef USE_SPECULAR_INTENSITYMAP
	varying vec2 vSpecularIntensityMapUv;
#endif
#ifdef USE_TRANSMISSIONMAP
	uniform mat3 transmissionMapTransform;
	varying vec2 vTransmissionMapUv;
#endif
#ifdef USE_THICKNESSMAP
	uniform mat3 thicknessMapTransform;
	varying vec2 vThicknessMapUv;
#endif`,tV=`#if defined( USE_UV ) || defined( USE_ANISOTROPY )
	varying vec2 vUv;
#endif
#ifdef USE_MAP
	uniform mat3 mapTransform;
	varying vec2 vMapUv;
#endif
#ifdef USE_ALPHAMAP
	uniform mat3 alphaMapTransform;
	varying vec2 vAlphaMapUv;
#endif
#ifdef USE_LIGHTMAP
	uniform mat3 lightMapTransform;
	varying vec2 vLightMapUv;
#endif
#ifdef USE_AOMAP
	uniform mat3 aoMapTransform;
	varying vec2 vAoMapUv;
#endif
#ifdef USE_BUMPMAP
	uniform mat3 bumpMapTransform;
	varying vec2 vBumpMapUv;
#endif
#ifdef USE_NORMALMAP
	uniform mat3 normalMapTransform;
	varying vec2 vNormalMapUv;
#endif
#ifdef USE_DISPLACEMENTMAP
	uniform mat3 displacementMapTransform;
	varying vec2 vDisplacementMapUv;
#endif
#ifdef USE_EMISSIVEMAP
	uniform mat3 emissiveMapTransform;
	varying vec2 vEmissiveMapUv;
#endif
#ifdef USE_METALNESSMAP
	uniform mat3 metalnessMapTransform;
	varying vec2 vMetalnessMapUv;
#endif
#ifdef USE_ROUGHNESSMAP
	uniform mat3 roughnessMapTransform;
	varying vec2 vRoughnessMapUv;
#endif
#ifdef USE_ANISOTROPYMAP
	uniform mat3 anisotropyMapTransform;
	varying vec2 vAnisotropyMapUv;
#endif
#ifdef USE_CLEARCOATMAP
	uniform mat3 clearcoatMapTransform;
	varying vec2 vClearcoatMapUv;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	uniform mat3 clearcoatNormalMapTransform;
	varying vec2 vClearcoatNormalMapUv;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	uniform mat3 clearcoatRoughnessMapTransform;
	varying vec2 vClearcoatRoughnessMapUv;
#endif
#ifdef USE_SHEEN_COLORMAP
	uniform mat3 sheenColorMapTransform;
	varying vec2 vSheenColorMapUv;
#endif
#ifdef USE_SHEEN_ROUGHNESSMAP
	uniform mat3 sheenRoughnessMapTransform;
	varying vec2 vSheenRoughnessMapUv;
#endif
#ifdef USE_IRIDESCENCEMAP
	uniform mat3 iridescenceMapTransform;
	varying vec2 vIridescenceMapUv;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	uniform mat3 iridescenceThicknessMapTransform;
	varying vec2 vIridescenceThicknessMapUv;
#endif
#ifdef USE_SPECULARMAP
	uniform mat3 specularMapTransform;
	varying vec2 vSpecularMapUv;
#endif
#ifdef USE_SPECULAR_COLORMAP
	uniform mat3 specularColorMapTransform;
	varying vec2 vSpecularColorMapUv;
#endif
#ifdef USE_SPECULAR_INTENSITYMAP
	uniform mat3 specularIntensityMapTransform;
	varying vec2 vSpecularIntensityMapUv;
#endif
#ifdef USE_TRANSMISSIONMAP
	uniform mat3 transmissionMapTransform;
	varying vec2 vTransmissionMapUv;
#endif
#ifdef USE_THICKNESSMAP
	uniform mat3 thicknessMapTransform;
	varying vec2 vThicknessMapUv;
#endif`,nV=`#if defined( USE_UV ) || defined( USE_ANISOTROPY )
	vUv = vec3( uv, 1 ).xy;
#endif
#ifdef USE_MAP
	vMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy;
#endif
#ifdef USE_ALPHAMAP
	vAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_LIGHTMAP
	vLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_AOMAP
	vAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_BUMPMAP
	vBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_NORMALMAP
	vNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_DISPLACEMENTMAP
	vDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_EMISSIVEMAP
	vEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_METALNESSMAP
	vMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_ROUGHNESSMAP
	vRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_ANISOTROPYMAP
	vAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_CLEARCOATMAP
	vClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	vClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	vClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_IRIDESCENCEMAP
	vIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	vIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SHEEN_COLORMAP
	vSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SHEEN_ROUGHNESSMAP
	vSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SPECULARMAP
	vSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SPECULAR_COLORMAP
	vSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SPECULAR_INTENSITYMAP
	vSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_TRANSMISSIONMAP
	vTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_THICKNESSMAP
	vThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy;
#endif`,rV=`#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0
	vec4 worldPosition = vec4( transformed, 1.0 );
	#ifdef USE_BATCHING
		worldPosition = batchingMatrix * worldPosition;
	#endif
	#ifdef USE_INSTANCING
		worldPosition = instanceMatrix * worldPosition;
	#endif
	worldPosition = modelMatrix * worldPosition;
#endif`;const So={alphahash_fragment:sU,alphahash_pars_fragment:aU,alphamap_fragment:oU,alphamap_pars_fragment:lU,alphatest_fragment:uU,alphatest_pars_fragment:cU,aomap_fragment:dU,aomap_pars_fragment:fU,batching_pars_vertex:hU,batching_vertex:pU,begin_vertex:mU,beginnormal_vertex:gU,bsdfs:vU,iridescence_fragment:AU,bumpmap_pars_fragment:xU,clipping_planes_fragment:yU,clipping_planes_pars_fragment:bU,clipping_planes_pars_vertex:EU,clipping_planes_vertex:wU,color_fragment:CU,color_pars_fragment:PU,color_pars_vertex:SU,color_vertex:BU,common:MU,cube_uv_reflection_fragment:TU,defaultnormal_vertex:DU,displacementmap_pars_vertex:IU,displacementmap_vertex:NU,emissivemap_fragment:FU,emissivemap_pars_fragment:LU,colorspace_fragment:RU,colorspace_pars_fragment:OU,envmap_fragment:zU,envmap_common_pars_fragment:kU,envmap_pars_fragment:HU,envmap_pars_vertex:UU,envmap_physical_pars_fragment:qU,envmap_vertex:jU,fog_vertex:VU,fog_pars_vertex:GU,fog_fragment:XU,fog_pars_fragment:WU,gradientmap_pars_fragment:QU,lightmap_pars_fragment:ZU,lights_lambert_fragment:YU,lights_lambert_pars_fragment:JU,lights_pars_begin:KU,lights_toon_fragment:_U,lights_toon_pars_fragment:$U,lights_phong_fragment:ej,lights_phong_pars_fragment:tj,lights_physical_fragment:nj,lights_physical_pars_fragment:rj,lights_fragment_begin:ij,lights_fragment_maps:sj,lights_fragment_end:aj,logdepthbuf_fragment:oj,logdepthbuf_pars_fragment:lj,logdepthbuf_pars_vertex:uj,logdepthbuf_vertex:cj,map_fragment:dj,map_pars_fragment:fj,map_particle_fragment:hj,map_particle_pars_fragment:pj,metalnessmap_fragment:mj,metalnessmap_pars_fragment:gj,morphinstance_vertex:vj,morphcolor_vertex:Aj,morphnormal_vertex:xj,morphtarget_pars_vertex:yj,morphtarget_vertex:bj,normal_fragment_begin:Ej,normal_fragment_maps:wj,normal_pars_fragment:Cj,normal_pars_vertex:Pj,normal_vertex:Sj,normalmap_pars_fragment:Bj,clearcoat_normal_fragment_begin:Mj,clearcoat_normal_fragment_maps:Tj,clearcoat_pars_fragment:Dj,iridescence_pars_fragment:Ij,opaque_fragment:Nj,packing:Fj,premultiplied_alpha_fragment:Lj,project_vertex:Rj,dithering_fragment:Oj,dithering_pars_fragment:zj,roughnessmap_fragment:kj,roughnessmap_pars_fragment:Hj,shadowmap_pars_fragment:Uj,shadowmap_pars_vertex:jj,shadowmap_vertex:Vj,shadowmask_pars_fragment:Gj,skinbase_vertex:Xj,skinning_pars_vertex:Wj,skinning_vertex:Qj,skinnormal_vertex:Zj,specularmap_fragment:Yj,specularmap_pars_fragment:Jj,tonemapping_fragment:Kj,tonemapping_pars_fragment:qj,transmission_fragment:_j,transmission_pars_fragment:$j,uv_pars_fragment:eV,uv_pars_vertex:tV,uv_vertex:nV,worldpos_vertex:rV,background_vert:`varying vec2 vUv;
uniform mat3 uvTransform;
void main() {
	vUv = ( uvTransform * vec3( uv, 1 ) ).xy;
	gl_Position = vec4( position.xy, 1.0, 1.0 );
}`,background_frag:`uniform sampler2D t2D;
uniform float backgroundIntensity;
varying vec2 vUv;
void main() {
	vec4 texColor = texture2D( t2D, vUv );
	#ifdef DECODE_VIDEO_TEXTURE
		texColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w );
	#endif
	texColor.rgb *= backgroundIntensity;
	gl_FragColor = texColor;
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,backgroundCube_vert:`varying vec3 vWorldDirection;
#include <common>
void main() {
	vWorldDirection = transformDirection( position, modelMatrix );
	#include <begin_vertex>
	#include <project_vertex>
	gl_Position.z = gl_Position.w;
}`,backgroundCube_frag:`#ifdef ENVMAP_TYPE_CUBE
	uniform samplerCube envMap;
#elif defined( ENVMAP_TYPE_CUBE_UV )
	uniform sampler2D envMap;
#endif
uniform float flipEnvMap;
uniform float backgroundBlurriness;
uniform float backgroundIntensity;
uniform mat3 backgroundRotation;
varying vec3 vWorldDirection;
#include <cube_uv_reflection_fragment>
void main() {
	#ifdef ENVMAP_TYPE_CUBE
		vec4 texColor = textureCube( envMap, backgroundRotation * vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) );
	#elif defined( ENVMAP_TYPE_CUBE_UV )
		vec4 texColor = textureCubeUV( envMap, backgroundRotation * vWorldDirection, backgroundBlurriness );
	#else
		vec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 );
	#endif
	texColor.rgb *= backgroundIntensity;
	gl_FragColor = texColor;
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,cube_vert:`varying vec3 vWorldDirection;
#include <common>
void main() {
	vWorldDirection = transformDirection( position, modelMatrix );
	#include <begin_vertex>
	#include <project_vertex>
	gl_Position.z = gl_Position.w;
}`,cube_frag:`uniform samplerCube tCube;
uniform float tFlip;
uniform float opacity;
varying vec3 vWorldDirection;
void main() {
	vec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) );
	gl_FragColor = texColor;
	gl_FragColor.a *= opacity;
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,depth_vert:`#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
varying vec2 vHighPrecisionZW;
void main() {
	#include <uv_vertex>
	#include <batching_vertex>
	#include <skinbase_vertex>
	#include <morphinstance_vertex>
	#ifdef USE_DISPLACEMENTMAP
		#include <beginnormal_vertex>
		#include <morphnormal_vertex>
		#include <skinnormal_vertex>
	#endif
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vHighPrecisionZW = gl_Position.zw;
}`,depth_frag:`#if DEPTH_PACKING == 3200
	uniform float opacity;
#endif
#include <common>
#include <packing>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
varying vec2 vHighPrecisionZW;
void main() {
	vec4 diffuseColor = vec4( 1.0 );
	#include <clipping_planes_fragment>
	#if DEPTH_PACKING == 3200
		diffuseColor.a = opacity;
	#endif
	#include <map_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <logdepthbuf_fragment>
	#ifdef USE_REVERSED_DEPTH_BUFFER
		float fragCoordZ = vHighPrecisionZW[ 0 ] / vHighPrecisionZW[ 1 ];
	#else
		float fragCoordZ = 0.5 * vHighPrecisionZW[ 0 ] / vHighPrecisionZW[ 1 ] + 0.5;
	#endif
	#if DEPTH_PACKING == 3200
		gl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );
	#elif DEPTH_PACKING == 3201
		gl_FragColor = packDepthToRGBA( fragCoordZ );
	#elif DEPTH_PACKING == 3202
		gl_FragColor = vec4( packDepthToRGB( fragCoordZ ), 1.0 );
	#elif DEPTH_PACKING == 3203
		gl_FragColor = vec4( packDepthToRG( fragCoordZ ), 0.0, 1.0 );
	#endif
}`,distanceRGBA_vert:`#define DISTANCE
varying vec3 vWorldPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <batching_vertex>
	#include <skinbase_vertex>
	#include <morphinstance_vertex>
	#ifdef USE_DISPLACEMENTMAP
		#include <beginnormal_vertex>
		#include <morphnormal_vertex>
		#include <skinnormal_vertex>
	#endif
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <worldpos_vertex>
	#include <clipping_planes_vertex>
	vWorldPosition = worldPosition.xyz;
}`,distanceRGBA_frag:`#define DISTANCE
uniform vec3 referencePosition;
uniform float nearDistance;
uniform float farDistance;
varying vec3 vWorldPosition;
#include <common>
#include <packing>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <clipping_planes_pars_fragment>
void main () {
	vec4 diffuseColor = vec4( 1.0 );
	#include <clipping_planes_fragment>
	#include <map_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	float dist = length( vWorldPosition - referencePosition );
	dist = ( dist - nearDistance ) / ( farDistance - nearDistance );
	dist = saturate( dist );
	gl_FragColor = packDepthToRGBA( dist );
}`,equirect_vert:`varying vec3 vWorldDirection;
#include <common>
void main() {
	vWorldDirection = transformDirection( position, modelMatrix );
	#include <begin_vertex>
	#include <project_vertex>
}`,equirect_frag:`uniform sampler2D tEquirect;
varying vec3 vWorldDirection;
#include <common>
void main() {
	vec3 direction = normalize( vWorldDirection );
	vec2 sampleUV = equirectUv( direction );
	gl_FragColor = texture2D( tEquirect, sampleUV );
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,linedashed_vert:`uniform float scale;
attribute float lineDistance;
varying float vLineDistance;
#include <common>
#include <uv_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	vLineDistance = scale * lineDistance;
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphinstance_vertex>
	#include <morphcolor_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <fog_vertex>
}`,linedashed_frag:`uniform vec3 diffuse;
uniform float opacity;
uniform float dashSize;
uniform float totalSize;
varying float vLineDistance;
#include <common>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <fog_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <clipping_planes_fragment>
	if ( mod( vLineDistance, totalSize ) > dashSize ) {
		discard;
	}
	vec3 outgoingLight = vec3( 0.0 );
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	outgoingLight = diffuseColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
}`,meshbasic_vert:`#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <envmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphinstance_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#if defined ( USE_ENVMAP ) || defined ( USE_SKINNING )
		#include <beginnormal_vertex>
		#include <morphnormal_vertex>
		#include <skinbase_vertex>
		#include <skinnormal_vertex>
		#include <defaultnormal_vertex>
	#endif
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <worldpos_vertex>
	#include <envmap_vertex>
	#include <fog_vertex>
}`,meshbasic_frag:`uniform vec3 diffuse;
uniform float opacity;
#ifndef FLAT_SHADED
	varying vec3 vNormal;
#endif
#include <common>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_pars_fragment>
#include <fog_pars_fragment>
#include <specularmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <clipping_planes_fragment>
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <specularmap_fragment>
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	#ifdef USE_LIGHTMAP
		vec4 lightMapTexel = texture2D( lightMap, vLightMapUv );
		reflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI;
	#else
		reflectedLight.indirectDiffuse += vec3( 1.0 );
	#endif
	#include <aomap_fragment>
	reflectedLight.indirectDiffuse *= diffuseColor.rgb;
	vec3 outgoingLight = reflectedLight.indirectDiffuse;
	#include <envmap_fragment>
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,meshlambert_vert:`#define LAMBERT
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <envmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphinstance_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <envmap_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,meshlambert_frag:`#define LAMBERT
uniform vec3 diffuse;
uniform vec3 emissive;
uniform float opacity;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_pars_fragment>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_lambert_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <specularmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <clipping_planes_fragment>
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <specularmap_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_lambert_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;
	#include <envmap_fragment>
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,meshmatcap_vert:`#define MATCAP
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <color_pars_vertex>
#include <displacementmap_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphinstance_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <fog_vertex>
	vViewPosition = - mvPosition.xyz;
}`,meshmatcap_frag:`#define MATCAP
uniform vec3 diffuse;
uniform float opacity;
uniform sampler2D matcap;
varying vec3 vViewPosition;
#include <common>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <fog_pars_fragment>
#include <normal_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <clipping_planes_fragment>
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	vec3 viewDir = normalize( vViewPosition );
	vec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) );
	vec3 y = cross( viewDir, x );
	vec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5;
	#ifdef USE_MATCAP
		vec4 matcapColor = texture2D( matcap, uv );
	#else
		vec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 );
	#endif
	vec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,meshnormal_vert:`#define NORMAL
#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )
	varying vec3 vViewPosition;
#endif
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphinstance_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )
	vViewPosition = - mvPosition.xyz;
#endif
}`,meshnormal_frag:`#define NORMAL
uniform float opacity;
#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )
	varying vec3 vViewPosition;
#endif
#include <packing>
#include <uv_pars_fragment>
#include <normal_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	vec4 diffuseColor = vec4( 0.0, 0.0, 0.0, opacity );
	#include <clipping_planes_fragment>
	#include <logdepthbuf_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	gl_FragColor = vec4( packNormalToRGB( normal ), diffuseColor.a );
	#ifdef OPAQUE
		gl_FragColor.a = 1.0;
	#endif
}`,meshphong_vert:`#define PHONG
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <envmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphinstance_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <envmap_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,meshphong_frag:`#define PHONG
uniform vec3 diffuse;
uniform vec3 emissive;
uniform vec3 specular;
uniform float shininess;
uniform float opacity;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_pars_fragment>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_phong_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <specularmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <clipping_planes_fragment>
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <specularmap_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_phong_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;
	#include <envmap_fragment>
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,meshphysical_vert:`#define STANDARD
varying vec3 vViewPosition;
#ifdef USE_TRANSMISSION
	varying vec3 vWorldPosition;
#endif
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphinstance_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
#ifdef USE_TRANSMISSION
	vWorldPosition = worldPosition.xyz;
#endif
}`,meshphysical_frag:`#define STANDARD
#ifdef PHYSICAL
	#define IOR
	#define USE_SPECULAR
#endif
uniform vec3 diffuse;
uniform vec3 emissive;
uniform float roughness;
uniform float metalness;
uniform float opacity;
#ifdef IOR
	uniform float ior;
#endif
#ifdef USE_SPECULAR
	uniform float specularIntensity;
	uniform vec3 specularColor;
	#ifdef USE_SPECULAR_COLORMAP
		uniform sampler2D specularColorMap;
	#endif
	#ifdef USE_SPECULAR_INTENSITYMAP
		uniform sampler2D specularIntensityMap;
	#endif
#endif
#ifdef USE_CLEARCOAT
	uniform float clearcoat;
	uniform float clearcoatRoughness;
#endif
#ifdef USE_DISPERSION
	uniform float dispersion;
#endif
#ifdef USE_IRIDESCENCE
	uniform float iridescence;
	uniform float iridescenceIOR;
	uniform float iridescenceThicknessMinimum;
	uniform float iridescenceThicknessMaximum;
#endif
#ifdef USE_SHEEN
	uniform vec3 sheenColor;
	uniform float sheenRoughness;
	#ifdef USE_SHEEN_COLORMAP
		uniform sampler2D sheenColorMap;
	#endif
	#ifdef USE_SHEEN_ROUGHNESSMAP
		uniform sampler2D sheenRoughnessMap;
	#endif
#endif
#ifdef USE_ANISOTROPY
	uniform vec2 anisotropyVector;
	#ifdef USE_ANISOTROPYMAP
		uniform sampler2D anisotropyMap;
	#endif
#endif
varying vec3 vViewPosition;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <iridescence_fragment>
#include <cube_uv_reflection_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_physical_pars_fragment>
#include <fog_pars_fragment>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_physical_pars_fragment>
#include <transmission_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <clearcoat_pars_fragment>
#include <iridescence_pars_fragment>
#include <roughnessmap_pars_fragment>
#include <metalnessmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <clipping_planes_fragment>
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <roughnessmap_fragment>
	#include <metalnessmap_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <clearcoat_normal_fragment_begin>
	#include <clearcoat_normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_physical_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse;
	vec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular;
	#include <transmission_fragment>
	vec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance;
	#ifdef USE_SHEEN
		float sheenEnergyComp = 1.0 - 0.157 * max3( material.sheenColor );
		outgoingLight = outgoingLight * sheenEnergyComp + sheenSpecularDirect + sheenSpecularIndirect;
	#endif
	#ifdef USE_CLEARCOAT
		float dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) );
		vec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc );
		outgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat;
	#endif
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,meshtoon_vert:`#define TOON
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphinstance_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,meshtoon_frag:`#define TOON
uniform vec3 diffuse;
uniform vec3 emissive;
uniform float opacity;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <gradientmap_pars_fragment>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_toon_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <clipping_planes_fragment>
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_toon_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,points_vert:`uniform float size;
uniform float scale;
#include <common>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
#ifdef USE_POINTS_UV
	varying vec2 vUv;
	uniform mat3 uvTransform;
#endif
void main() {
	#ifdef USE_POINTS_UV
		vUv = ( uvTransform * vec3( uv, 1 ) ).xy;
	#endif
	#include <color_vertex>
	#include <morphinstance_vertex>
	#include <morphcolor_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <project_vertex>
	gl_PointSize = size;
	#ifdef USE_SIZEATTENUATION
		bool isPerspective = isPerspectiveMatrix( projectionMatrix );
		if ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );
	#endif
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <worldpos_vertex>
	#include <fog_vertex>
}`,points_frag:`uniform vec3 diffuse;
uniform float opacity;
#include <common>
#include <color_pars_fragment>
#include <map_particle_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <fog_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <clipping_planes_fragment>
	vec3 outgoingLight = vec3( 0.0 );
	#include <logdepthbuf_fragment>
	#include <map_particle_fragment>
	#include <color_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	outgoingLight = diffuseColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
}`,shadow_vert:`#include <common>
#include <batching_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <shadowmap_pars_vertex>
void main() {
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphinstance_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <worldpos_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,shadow_frag:`uniform vec3 color;
uniform float opacity;
#include <common>
#include <packing>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <logdepthbuf_pars_fragment>
#include <shadowmap_pars_fragment>
#include <shadowmask_pars_fragment>
void main() {
	#include <logdepthbuf_fragment>
	gl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) );
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
}`,sprite_vert:`uniform float rotation;
uniform vec2 center;
#include <common>
#include <uv_pars_vertex>
#include <fog_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	vec4 mvPosition = modelViewMatrix[ 3 ];
	vec2 scale = vec2( length( modelMatrix[ 0 ].xyz ), length( modelMatrix[ 1 ].xyz ) );
	#ifndef USE_SIZEATTENUATION
		bool isPerspective = isPerspectiveMatrix( projectionMatrix );
		if ( isPerspective ) scale *= - mvPosition.z;
	#endif
	vec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale;
	vec2 rotatedPosition;
	rotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y;
	rotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y;
	mvPosition.xy += rotatedPosition;
	gl_Position = projectionMatrix * mvPosition;
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <fog_vertex>
}`,sprite_frag:`uniform vec3 diffuse;
uniform float opacity;
#include <common>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <fog_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <clipping_planes_fragment>
	vec3 outgoingLight = vec3( 0.0 );
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	outgoingLight = diffuseColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
}`},hs={common:{diffuse:{value:new Ki(16777215)},opacity:{value:1},map:{value:null},mapTransform:{value:new ro},alphaMap:{value:null},alphaMapTransform:{value:new ro},alphaTest:{value:0}},specularmap:{specularMap:{value:null},specularMapTransform:{value:new ro}},envmap:{envMap:{value:null},envMapRotation:{value:new ro},flipEnvMap:{value:-1},reflectivity:{value:1},ior:{value:1.5},refractionRatio:{value:.98},dfgLUT:{value:null}},aomap:{aoMap:{value:null},aoMapIntensity:{value:1},aoMapTransform:{value:new ro}},lightmap:{lightMap:{value:null},lightMapIntensity:{value:1},lightMapTransform:{value:new ro}},bumpmap:{bumpMap:{value:null},bumpMapTransform:{value:new ro},bumpScale:{value:1}},normalmap:{normalMap:{value:null},normalMapTransform:{value:new ro},normalScale:{value:new ar(1,1)}},displacementmap:{displacementMap:{value:null},displacementMapTransform:{value:new ro},displacementScale:{value:1},displacementBias:{value:0}},emissivemap:{emissiveMap:{value:null},emissiveMapTransform:{value:new ro}},metalnessmap:{metalnessMap:{value:null},metalnessMapTransform:{value:new ro}},roughnessmap:{roughnessMap:{value:null},roughnessMapTransform:{value:new ro}},gradientmap:{gradientMap:{value:null}},fog:{fogDensity:{value:25e-5},fogNear:{value:1},fogFar:{value:2e3},fogColor:{value:new Ki(16777215)}},lights:{ambientLightColor:{value:[]},lightProbe:{value:[]},directionalLights:{value:[],properties:{direction:{},color:{}}},directionalLightShadows:{value:[],properties:{shadowIntensity:1,shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{}}},directionalShadowMap:{value:[]},directionalShadowMatrix:{value:[]},spotLights:{value:[],properties:{color:{},position:{},direction:{},distance:{},coneCos:{},penumbraCos:{},decay:{}}},spotLightShadows:{value:[],properties:{shadowIntensity:1,shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{}}},spotLightMap:{value:[]},spotShadowMap:{value:[]},spotLightMatrix:{value:[]},pointLights:{value:[],properties:{color:{},position:{},decay:{},distance:{}}},pointLightShadows:{value:[],properties:{shadowIntensity:1,shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{},shadowCameraNear:{},shadowCameraFar:{}}},pointShadowMap:{value:[]},pointShadowMatrix:{value:[]},hemisphereLights:{value:[],properties:{direction:{},skyColor:{},groundColor:{}}},rectAreaLights:{value:[],properties:{color:{},position:{},width:{},height:{}}},ltc_1:{value:null},ltc_2:{value:null}},points:{diffuse:{value:new Ki(16777215)},opacity:{value:1},size:{value:1},scale:{value:1},map:{value:null},alphaMap:{value:null},alphaMapTransform:{value:new ro},alphaTest:{value:0},uvTransform:{value:new ro}},sprite:{diffuse:{value:new Ki(16777215)},opacity:{value:1},center:{value:new ar(.5,.5)},rotation:{value:0},map:{value:null},mapTransform:{value:new ro},alphaMap:{value:null},alphaMapTransform:{value:new ro},alphaTest:{value:0}}},Om={basic:{uniforms:bf([hs.common,hs.specularmap,hs.envmap,hs.aomap,hs.lightmap,hs.fog]),vertexShader:So.meshbasic_vert,fragmentShader:So.meshbasic_frag},lambert:{uniforms:bf([hs.common,hs.specularmap,hs.envmap,hs.aomap,hs.lightmap,hs.emissivemap,hs.bumpmap,hs.normalmap,hs.displacementmap,hs.fog,hs.lights,{emissive:{value:new Ki(0)}}]),vertexShader:So.meshlambert_vert,fragmentShader:So.meshlambert_frag},phong:{uniforms:bf([hs.common,hs.specularmap,hs.envmap,hs.aomap,hs.lightmap,hs.emissivemap,hs.bumpmap,hs.normalmap,hs.displacementmap,hs.fog,hs.lights,{emissive:{value:new Ki(0)},specular:{value:new Ki(1118481)},shininess:{value:30}}]),vertexShader:So.meshphong_vert,fragmentShader:So.meshphong_frag},standard:{uniforms:bf([hs.common,hs.envmap,hs.aomap,hs.lightmap,hs.emissivemap,hs.bumpmap,hs.normalmap,hs.displacementmap,hs.roughnessmap,hs.metalnessmap,hs.fog,hs.lights,{emissive:{value:new Ki(0)},roughness:{value:1},metalness:{value:0},envMapIntensity:{value:1}}]),vertexShader:So.meshphysical_vert,fragmentShader:So.meshphysical_frag},toon:{uniforms:bf([hs.common,hs.aomap,hs.lightmap,hs.emissivemap,hs.bumpmap,hs.normalmap,hs.displacementmap,hs.gradientmap,hs.fog,hs.lights,{emissive:{value:new Ki(0)}}]),vertexShader:So.meshtoon_vert,fragmentShader:So.meshtoon_frag},matcap:{uniforms:bf([hs.common,hs.bumpmap,hs.normalmap,hs.displacementmap,hs.fog,{matcap:{value:null}}]),vertexShader:So.meshmatcap_vert,fragmentShader:So.meshmatcap_frag},points:{uniforms:bf([hs.points,hs.fog]),vertexShader:So.points_vert,fragmentShader:So.points_frag},dashed:{uniforms:bf([hs.common,hs.fog,{scale:{value:1},dashSize:{value:1},totalSize:{value:2}}]),vertexShader:So.linedashed_vert,fragmentShader:So.linedashed_frag},depth:{uniforms:bf([hs.common,hs.displacementmap]),vertexShader:So.depth_vert,fragmentShader:So.depth_frag},normal:{uniforms:bf([hs.common,hs.bumpmap,hs.normalmap,hs.displacementmap,{opacity:{value:1}}]),vertexShader:So.meshnormal_vert,fragmentShader:So.meshnormal_frag},sprite:{uniforms:bf([hs.sprite,hs.fog]),vertexShader:So.sprite_vert,fragmentShader:So.sprite_frag},background:{uniforms:{uvTransform:{value:new ro},t2D:{value:null},backgroundIntensity:{value:1}},vertexShader:So.background_vert,fragmentShader:So.background_frag},backgroundCube:{uniforms:{envMap:{value:null},flipEnvMap:{value:-1},backgroundBlurriness:{value:0},backgroundIntensity:{value:1},backgroundRotation:{value:new ro}},vertexShader:So.backgroundCube_vert,fragmentShader:So.backgroundCube_frag},cube:{uniforms:{tCube:{value:null},tFlip:{value:-1},opacity:{value:1}},vertexShader:So.cube_vert,fragmentShader:So.cube_frag},equirect:{uniforms:{tEquirect:{value:null}},vertexShader:So.equirect_vert,fragmentShader:So.equirect_frag},distanceRGBA:{uniforms:bf([hs.common,hs.displacementmap,{referencePosition:{value:new ft},nearDistance:{value:1},farDistance:{value:1e3}}]),vertexShader:So.distanceRGBA_vert,fragmentShader:So.distanceRGBA_frag},shadow:{uniforms:bf([hs.lights,hs.fog,{color:{value:new Ki(0)},opacity:{value:1}}]),vertexShader:So.shadow_vert,fragmentShader:So.shadow_frag}};Om.physical={uniforms:bf([Om.standard.uniforms,{clearcoat:{value:0},clearcoatMap:{value:null},clearcoatMapTransform:{value:new ro},clearcoatNormalMap:{value:null},clearcoatNormalMapTransform:{value:new ro},clearcoatNormalScale:{value:new ar(1,1)},clearcoatRoughness:{value:0},clearcoatRoughnessMap:{value:null},clearcoatRoughnessMapTransform:{value:new ro},dispersion:{value:0},iridescence:{value:0},iridescenceMap:{value:null},iridescenceMapTransform:{value:new ro},iridescenceIOR:{value:1.3},iridescenceThicknessMinimum:{value:100},iridescenceThicknessMaximum:{value:400},iridescenceThicknessMap:{value:null},iridescenceThicknessMapTransform:{value:new ro},sheen:{value:0},sheenColor:{value:new Ki(0)},sheenColorMap:{value:null},sheenColorMapTransform:{value:new ro},sheenRoughness:{value:1},sheenRoughnessMap:{value:null},sheenRoughnessMapTransform:{value:new ro},transmission:{value:0},transmissionMap:{value:null},transmissionMapTransform:{value:new ro},transmissionSamplerSize:{value:new ar},transmissionSamplerMap:{value:null},thickness:{value:0},thicknessMap:{value:null},thicknessMapTransform:{value:new ro},attenuationDistance:{value:0},attenuationColor:{value:new Ki(0)},specularColor:{value:new Ki(1,1,1)},specularColorMap:{value:null},specularColorMapTransform:{value:new ro},specularIntensity:{value:1},specularIntensityMap:{value:null},specularIntensityMapTransform:{value:new ro},anisotropyVector:{value:new ar},anisotropyMap:{value:null},anisotropyMapTransform:{value:new ro}}]),vertexShader:So.meshphysical_vert,fragmentShader:So.meshphysical_frag};const NE={r:0,b:0,g:0},Rv=new zf,iV=new Fs;function sV(b,a,x,y,E,z,ee){const te=new Ki(0);let ne=z===!0?0:1,ie,ae,oe=null,le=0,ue=null;function he(we){let Me=we.isScene===!0?we.background:null;return Me&&Me.isTexture&&(Me=(we.backgroundBlurriness>0?x:a).get(Me)),Me}function xe(we){let Me=!1;const Le=he(we);Le===null?me(te,ne):Le&&Le.isColor&&(me(Le,1),Me=!0);const De=b.xr.getEnvironmentBlendMode();De==="additive"?y.buffers.color.setClear(0,0,0,1,ee):De==="alpha-blend"&&y.buffers.color.setClear(0,0,0,0,ee),(b.autoClear||Me)&&(y.buffers.depth.setTest(!0),y.buffers.depth.setMask(!0),y.buffers.color.setMask(!0),b.clear(b.autoClearColor,b.autoClearDepth,b.autoClearStencil))}function ve(we,Me){const Le=he(Me);Le&&(Le.isCubeTexture||Le.mapping===Gd)?(ae===void 0&&(ae=new Il(new L0(1,1,1),new qh({name:"BackgroundCubeMaterial",uniforms:OA(Om.backgroundCube.uniforms),vertexShader:Om.backgroundCube.vertexShader,fragmentShader:Om.backgroundCube.fragmentShader,side:co,depthTest:!1,depthWrite:!1,fog:!1,allowOverride:!1})),ae.geometry.deleteAttribute("normal"),ae.geometry.deleteAttribute("uv"),ae.onBeforeRender=function(De,ke,ze){this.matrixWorld.copyPosition(ze.matrixWorld)},Object.defineProperty(ae.material,"envMap",{get:function(){return 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xT{constructor(a){this._renderer=a,this._pingPongRenderTarget=null,this._lodMax=0,this._cubeSize=0,this._sizeLods=[],this._sigmas=[],this._lodMeshes=[],this._backgroundBox=null,this._cubemapMaterial=null,this._equirectMaterial=null,this._blurMaterial=null,this._ggxMaterial=null}fromScene(a,x=0,y=.1,E=100,z={}){const{size:ee=256,position:te=fV}=z;R2=this._renderer.getRenderTarget(),O2=this._renderer.getActiveCubeFace(),z2=this._renderer.getActiveMipmapLevel(),k2=this._renderer.xr.enabled,this._renderer.xr.enabled=!1,this._setSize(ee);const ne=this._allocateTargets();return ne.depthBuffer=!0,this._sceneToCubeUV(a,y,E,ne,te),x>0&&this._blur(ne,0,0,x),this._applyPMREM(ne),this._cleanup(ne),ne}fromEquirectangular(a,x=null){return this._fromTexture(a,x)}fromCubemap(a,x=null){return this._fromTexture(a,x)}compileCubemapShader(){this._cubemapMaterial===null&&(this._cubemapMaterial=ET(),this._compileMaterial(this._cubemapMaterial))}compileEquirectangularShader(){this._equirectMaterial===null&&(this._equirectMaterial=bT(),this._compileMaterial(this._equirectMaterial))}dispose(){this._dispose(),this._cubemapMaterial!==null&&this._cubemapMaterial.dispose(),this._equirectMaterial!==null&&this._equirectMaterial.dispose(),this._backgroundBox!==null&&(this._backgroundBox.geometry.dispose(),this._backgroundBox.material.dispose())}_setSize(a){this._lodMax=Math.floor(Math.log2(a)),this._cubeSize=Math.pow(2,this._lodMax)}_dispose(){this._blurMaterial!==null&&this._blurMaterial.dispose(),this._ggxMaterial!==null&&this._ggxMaterial.dispose(),this._pingPongRenderTarget!==null&&this._pingPongRenderTarget.dispose();for(let a=0;a<this._lodMeshes.length;a++)this._lodMeshes[a].geometry.dispose()}_cleanup(a){this._renderer.setRenderTarget(R2,O2,z2),this._renderer.xr.enabled=k2,a.scissorTest=!1,ax(a,0,0,a.width,a.height)}_fromTexture(a,x){a.mapping===xa||a.mapping===fo?this._setSize(a.image.length===0?16:a.image[0].width||a.image[0].image.width):this._setSize(a.image.width/4),R2=this._renderer.getRenderTarget(),O2=this._renderer.getActiveCubeFace(),z2=this._renderer.getActiveMipmapLevel(),k2=this._renderer.xr.enabled,this._renderer.xr.enabled=!1;const y=x||this._allocateTargets();return this._textureToCubeUV(a,y),this._applyPMREM(y),this._cleanup(y),y}_allocateTargets(){const a=3*Math.max(this._cubeSize,112),x=4*this._cubeSize,y={magFilter:Co,minFilter:Co,generateMipmaps:!1,type:bl,format:El,colorSpace:Ut,depthBuffer:!1},E=yT(a,x,y);if(this._pingPongRenderTarget===null||this._pingPongRenderTarget.width!==a||this._pingPongRenderTarget.height!==x){this._pingPongRenderTarget!==null&&this._dispose(),this._pingPongRenderTarget=yT(a,x,y);const{_lodMax:z}=this;({lodMeshes:this._lodMeshes,sizeLods:this._sizeLods,sigmas:this._sigmas}=hV(z)),this._blurMaterial=mV(z,a,x)}return E}_compileMaterial(a){const x=new Il(new io,a);this._renderer.compile(x,Cy)}_sceneToCubeUV(a,x,y,E,z){const ne=new gc(90,1,x,y),ie=[1,-1,1,1,1,1],ae=[1,1,1,-1,-1,-1],oe=this._renderer,le=oe.autoClear,ue=oe.toneMapping;oe.getClearColor(AT),oe.toneMapping=ks,oe.autoClear=!1,oe.state.buffers.depth.getReversed()&&(oe.setRenderTarget(E),oe.clearDepth(),oe.setRenderTarget(null)),this._backgroundBox===null&&(this._backgroundBox=new Il(new L0,new od({name:"PMREM.Background",side:co,depthWrite:!1,depthTest:!1})));const xe=this._backgroundBox,ve=xe.material;let me=!1;const Pe=a.background;Pe?Pe.isColor&&(ve.color.copy(Pe),a.background=null,me=!0):(ve.color.copy(AT),me=!0);for(let we=0;we<6;we++){const Me=we%3;Me===0?(ne.up.set(0,ie[we],0),ne.position.set(z.x,z.y,z.z),ne.lookAt(z.x+ae[we],z.y,z.z)):Me===1?(ne.up.set(0,0,ie[we]),ne.position.set(z.x,z.y,z.z),ne.lookAt(z.x,z.y+ae[we],z.z)):(ne.up.set(0,ie[we],0),ne.position.set(z.x,z.y,z.z),ne.lookAt(z.x,z.y,z.z+ae[we]));const Le=this._cubeSize;ax(E,Me*Le,we>2?Le:0,Le,Le),oe.setRenderTarget(E),me&&oe.render(xe,ne),oe.render(a,ne)}oe.toneMapping=ue,oe.autoClear=le,a.background=Pe}_textureToCubeUV(a,x){const y=this._renderer,E=a.mapping===xa||a.mapping===fo;E?(this._cubemapMaterial===null&&(this._cubemapMaterial=ET()),this._cubemapMaterial.uniforms.flipEnvMap.value=a.isRenderTargetTexture===!1?-1:1):this._equirectMaterial===null&&(this._equirectMaterial=bT());const z=E?this._cubemapMaterial:this._equirectMaterial,ee=this._lodMeshes[0];ee.material=z;const te=z.uniforms;te.envMap.value=a;const ne=this._cubeSize;ax(x,0,0,3*ne,2*ne),y.setRenderTarget(x),y.render(ee,Cy)}_applyPMREM(a){const x=this._renderer,y=x.autoClear;x.autoClear=!1;const E=this._lodMeshes.length;for(let z=1;z<E;z++)this._applyGGXFilter(a,z-1,z);x.autoClear=y}_applyGGXFilter(a,x,y){const E=this._renderer,z=this._pingPongRenderTarget;if(this._ggxMaterial===null){const Pe=3*Math.max(this._cubeSize,16),we=4*this._cubeSize;this._ggxMaterial=pV(this._lodMax,Pe,we)}const ee=this._ggxMaterial,te=this._lodMeshes[y];te.material=ee;const ne=ee.uniforms,ie=y/(this._lodMeshes.length-1),ae=x/(this._lodMeshes.length-1),oe=Math.sqrt(ie*ie-ae*ae),le=.05+ie*.95,ue=oe*le,{_lodMax:he}=this,xe=this._sizeLods[y],ve=3*xe*(y>he-H0?y-he+H0:0),me=4*(this._cubeSize-xe);ne.envMap.value=a.texture,ne.roughness.value=ue,ne.mipInt.value=he-x,ax(z,ve,me,3*xe,2*xe),E.setRenderTarget(z),E.render(te,Cy),ne.envMap.value=z.texture,ne.roughness.value=0,ne.mipInt.value=he-y,ax(a,ve,me,3*xe,2*xe),E.setRenderTarget(a),E.render(te,Cy)}_blur(a,x,y,E,z){const ee=this._pingPongRenderTarget;this._halfBlur(a,ee,x,y,E,"latitudinal",z),this._halfBlur(ee,a,y,y,E,"longitudinal",z)}_halfBlur(a,x,y,E,z,ee,te){const ne=this._renderer,ie=this._blurMaterial;ee!=="latitudinal"&&ee!=="longitudinal"&&cr("blur direction must be either latitudinal or longitudinal!");const ae=3,oe=this._lodMeshes[E];oe.material=ie;const le=ie.uniforms,ue=this._sizeLods[y]-1,he=isFinite(z)?Math.PI/(2*ue):2*Math.PI/(2*Ov-1),xe=z/he,ve=isFinite(z)?1+Math.floor(ae*xe):Ov;ve>Ov&&wn(`sigmaRadians, ${z}, is too large and will clip, as it requested ${ve} samples when the maximum is set to ${Ov}`);const me=[];let Pe=0;for(let ke=0;ke<Ov;++ke){const ze=ke/xe,He=Math.exp(-ze*ze/2);me.push(He),ke===0?Pe+=He:ke<ve&&(Pe+=2*He)}for(let ke=0;ke<me.length;ke++)me[ke]=me[ke]/Pe;le.envMap.value=a.texture,le.samples.value=ve,le.weights.value=me,le.latitudinal.value=ee==="latitudinal",te&&(le.poleAxis.value=te);const{_lodMax:we}=this;le.dTheta.value=he,le.mipInt.value=we-y;const Me=this._sizeLods[E],Le=3*Me*(E>we-H0?E-we+H0:0),De=4*(this._cubeSize-Me);ax(x,Le,De,3*Me,2*Me),ne.setRenderTarget(x),ne.render(oe,Cy)}}function hV(b){const a=[],x=[],y=[];let E=b;const z=b-H0+1+vT.length;for(let ee=0;ee<z;ee++){const te=Math.pow(2,E);a.push(te);let ne=1/te;ee>b-H0?ne=vT[ee-b+H0-1]:ee===0&&(ne=0),x.push(ne);const ie=1/(te-2),ae=-ie,oe=1+ie,le=[ae,ae,oe,ae,oe,oe,ae,ae,oe,oe,ae,oe],ue=6,he=6,xe=3,ve=2,me=1,Pe=new Float32Array(xe*he*ue),we=new Float32Array(ve*he*ue),Me=new Float32Array(me*he*ue);for(let De=0;De<ue;De++){const ke=De%3*2/3-1,ze=De>2?0:-1,He=[ke,ze,0,ke+2/3,ze,0,ke+2/3,ze+1,0,ke,ze,0,ke+2/3,ze+1,0,ke,ze+1,0];Pe.set(He,xe*he*De),we.set(le,ve*he*De);const Re=[De,De,De,De,De,De];Me.set(Re,me*he*De)}const Le=new io;Le.setAttribute("position",new ql(Pe,xe)),Le.setAttribute("uv",new ql(we,ve)),Le.setAttribute("faceIndex",new ql(Me,me)),y.push(new Il(Le,null)),E>H0&&E--}return{lodMeshes:y,sizeLods:a,sigmas:x}}function yT(b,a,x){const y=new M0(b,a,x);return y.texture.mapping=Gd,y.texture.name="PMREM.cubeUv",y.scissorTest=!0,y}function ax(b,a,x,y,E){b.viewport.set(a,x,y,E),b.scissor.set(a,x,y,E)}function pV(b,a,x){return new qh({name:"PMREMGGXConvolution",defines:{GGX_SAMPLES:dV,CUBEUV_TEXEL_WIDTH:1/a,CUBEUV_TEXEL_HEIGHT:1/x,CUBEUV_MAX_MIP:`${b}.0`},uniforms:{envMap:{value:null},roughness:{value:0},mipInt:{value:0}},vertexShader:FE(),fragmentShader:`

			precision highp float;
			precision highp int;

			varying vec3 vOutputDirection;

			uniform sampler2D envMap;
			uniform float roughness;
			uniform float mipInt;

			#define ENVMAP_TYPE_CUBE_UV
			#include <cube_uv_reflection_fragment>

			#define PI 3.14159265359

			// Van der Corput radical inverse
			float radicalInverse_VdC(uint bits) {
				bits = (bits << 16u) | (bits >> 16u);
				bits = ((bits & 0x55555555u) << 1u) | ((bits & 0xAAAAAAAAu) >> 1u);
				bits = ((bits & 0x33333333u) << 2u) | ((bits & 0xCCCCCCCCu) >> 2u);
				bits = ((bits & 0x0F0F0F0Fu) << 4u) | ((bits & 0xF0F0F0F0u) >> 4u);
				bits = ((bits & 0x00FF00FFu) << 8u) | ((bits & 0xFF00FF00u) >> 8u);
				return float(bits) * 2.3283064365386963e-10; // / 0x100000000
			}

			// Hammersley sequence
			vec2 hammersley(uint i, uint N) {
				return vec2(float(i) / float(N), radicalInverse_VdC(i));
			}

			// GGX VNDF importance sampling (Eric Heitz 2018)
			// "Sampling the GGX Distribution of Visible Normals"
			// https://jcgt.org/published/0007/04/01/
			vec3 importanceSampleGGX_VNDF(vec2 Xi, vec3 V, float roughness) {
				float alpha = roughness * roughness;

				// Section 3.2: Transform view direction to hemisphere configuration
				vec3 Vh = normalize(vec3(alpha * V.x, alpha * V.y, V.z));

				// Section 4.1: Orthonormal basis
				float lensq = Vh.x * Vh.x + Vh.y * Vh.y;
				vec3 T1 = lensq > 0.0 ? vec3(-Vh.y, Vh.x, 0.0) / sqrt(lensq) : vec3(1.0, 0.0, 0.0);
				vec3 T2 = cross(Vh, T1);

				// Section 4.2: Parameterization of projected area
				float r = sqrt(Xi.x);
				float phi = 2.0 * PI * Xi.y;
				float t1 = r * cos(phi);
				float t2 = r * sin(phi);
				float s = 0.5 * (1.0 + Vh.z);
				t2 = (1.0 - s) * sqrt(1.0 - t1 * t1) + s * t2;

				// Section 4.3: Reprojection onto hemisphere
				vec3 Nh = t1 * T1 + t2 * T2 + sqrt(max(0.0, 1.0 - t1 * t1 - t2 * t2)) * Vh;

				// Section 3.4: Transform back to ellipsoid configuration
				return normalize(vec3(alpha * Nh.x, alpha * Nh.y, max(0.0, Nh.z)));
			}

			void main() {
				vec3 N = normalize(vOutputDirection);
				vec3 V = N; // Assume view direction equals normal for pre-filtering

				vec3 prefilteredColor = vec3(0.0);
				float totalWeight = 0.0;

				// For very low roughness, just sample the environment directly
				if (roughness < 0.001) {
					gl_FragColor = vec4(bilinearCubeUV(envMap, N, mipInt), 1.0);
					return;
				}

				// Tangent space basis for VNDF sampling
				vec3 up = abs(N.z) < 0.999 ? vec3(0.0, 0.0, 1.0) : vec3(1.0, 0.0, 0.0);
				vec3 tangent = normalize(cross(up, N));
				vec3 bitangent = cross(N, tangent);

				for(uint i = 0u; i < uint(GGX_SAMPLES); i++) {
					vec2 Xi = hammersley(i, uint(GGX_SAMPLES));

					// For PMREM, V = N, so in tangent space V is always (0, 0, 1)
					vec3 H_tangent = importanceSampleGGX_VNDF(Xi, vec3(0.0, 0.0, 1.0), roughness);

					// Transform H back to world space
					vec3 H = normalize(tangent * H_tangent.x + bitangent * H_tangent.y + N * H_tangent.z);
					vec3 L = normalize(2.0 * dot(V, H) * H - V);

					float NdotL = max(dot(N, L), 0.0);

					if(NdotL > 0.0) {
						// Sample environment at fixed mip level
						// VNDF importance sampling handles the distribution filtering
						vec3 sampleColor = bilinearCubeUV(envMap, L, mipInt);

						// Weight by NdotL for the split-sum approximation
						// VNDF PDF naturally accounts for the visible microfacet distribution
						prefilteredColor += sampleColor * NdotL;
						totalWeight += NdotL;
					}
				}

				if (totalWeight > 0.0) {
					prefilteredColor = prefilteredColor / totalWeight;
				}

				gl_FragColor = vec4(prefilteredColor, 1.0);
			}
		`,blending:tu,depthTest:!1,depthWrite:!1})}function mV(b,a,x){const y=new Float32Array(Ov),E=new ft(0,1,0);return new qh({name:"SphericalGaussianBlur",defines:{n:Ov,CUBEUV_TEXEL_WIDTH:1/a,CUBEUV_TEXEL_HEIGHT:1/x,CUBEUV_MAX_MIP:`${b}.0`},uniforms:{envMap:{value:null},samples:{value:1},weights:{value:y},latitudinal:{value:!1},dTheta:{value:0},mipInt:{value:0},poleAxis:{value:E}},vertexShader:FE(),fragmentShader:`

			precision mediump float;
			precision mediump int;

			varying vec3 vOutputDirection;

			uniform sampler2D envMap;
			uniform int samples;
			uniform float weights[ n ];
			uniform bool latitudinal;
			uniform float dTheta;
			uniform float mipInt;
			uniform vec3 poleAxis;

			#define ENVMAP_TYPE_CUBE_UV
			#include <cube_uv_reflection_fragment>

			vec3 getSample( float theta, vec3 axis ) {

				float cosTheta = cos( theta );
				// Rodrigues' axis-angle rotation
				vec3 sampleDirection = vOutputDirection * cosTheta
					+ cross( axis, vOutputDirection ) * sin( theta )
					+ axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta );

				return bilinearCubeUV( envMap, sampleDirection, mipInt );

			}

			void main() {

				vec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection );

				if ( all( equal( axis, vec3( 0.0 ) ) ) ) {

					axis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x );

				}

				axis = normalize( axis );

				gl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );
				gl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis );

				for ( int i = 1; i < n; i++ ) {

					if ( i >= samples ) {

						break;

					}

					float theta = dTheta * float( i );
					gl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis );
					gl_FragColor.rgb += weights[ i ] * getSample( theta, axis );

				}

			}
		`,blending:tu,depthTest:!1,depthWrite:!1})}function bT(){return new qh({name:"EquirectangularToCubeUV",uniforms:{envMap:{value:null}},vertexShader:FE(),fragmentShader:`

			precision mediump float;
			precision mediump int;

			varying vec3 vOutputDirection;

			uniform sampler2D envMap;

			#include <common>

			void main() {

				vec3 outputDirection = normalize( vOutputDirection );
				vec2 uv = equirectUv( outputDirection );

				gl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 );

			}
		`,blending:tu,depthTest:!1,depthWrite:!1})}function ET(){return new qh({name:"CubemapToCubeUV",uniforms:{envMap:{value:null},flipEnvMap:{value:-1}},vertexShader:FE(),fragmentShader:`

			precision mediump float;
			precision mediump int;

			uniform float flipEnvMap;

			varying vec3 vOutputDirection;

			uniform samplerCube envMap;

			void main() {

				gl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) );

			}
		`,blending:tu,depthTest:!1,depthWrite:!1})}function FE(){return`

		precision mediump float;
		precision mediump int;

		attribute float faceIndex;

		varying vec3 vOutputDirection;

		// RH coordinate system; PMREM face-indexing convention
		vec3 getDirection( vec2 uv, float face ) {

			uv = 2.0 * uv - 1.0;

			vec3 direction = vec3( uv, 1.0 );

			if ( face == 0.0 ) {

				direction = direction.zyx; // ( 1, v, u ) pos x

			} else if ( face == 1.0 ) {

				direction = direction.xzy;
				direction.xz *= -1.0; // ( -u, 1, -v ) pos y

			} else if ( face == 2.0 ) {

				direction.x *= -1.0; // ( -u, v, 1 ) pos z

			} else if ( face == 3.0 ) {

				direction = direction.zyx;
				direction.xz *= -1.0; // ( -1, v, -u ) neg x

			} else if ( face == 4.0 ) {

				direction = direction.xzy;
				direction.xy *= -1.0; // ( -u, -1, v ) neg y

			} else if ( face == 5.0 ) {

				direction.z *= -1.0; // ( u, v, -1 ) neg z

			}

			return direction;

		}

		void main() {

			vOutputDirection = getDirection( uv, faceIndex );
			gl_Position = vec4( position, 1.0 );

		}
	`}function gV(b){let a=new WeakMap,x=null;function y(te){if(te&&te.isTexture){const ne=te.mapping,ie=ne===ol||ne===Vd,ae=ne===xa||ne===fo;if(ie||ae){let oe=a.get(te);const le=oe!==void 0?oe.texture.pmremVersion:0;if(te.isRenderTargetTexture&&te.pmremVersion!==le)return x===null&&(x=new xT(b)),oe=ie?x.fromEquirectangular(te,oe):x.fromCubemap(te,oe),oe.texture.pmremVersion=te.pmremVersion,a.set(te,oe),oe.texture;if(oe!==void 0)return oe.texture;{const ue=te.image;return ie&&ue&&ue.height>0||ae&&ue&&E(ue)?(x===null&&(x=new xT(b)),oe=ie?x.fromEquirectangular(te):x.fromCubemap(te),oe.texture.pmremVersion=te.pmremVersion,a.set(te,oe),te.addEventListener("dispose",z),oe.texture):null}}}return te}function E(te){let ne=0;const ie=6;for(let ae=0;ae<ie;ae++)te[ae]!==void 0&&ne++;return ne===ie}function z(te){const ne=te.target;ne.removeEventListener("dispose",z);const ie=a.get(ne);ie!==void 0&&(a.delete(ne),ie.dispose())}function ee(){a=new 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Material Name: `+Fe.name+`
Material Type: `+Fe.type+`

Program Info Log: `+Ft+`
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Ll={shaderID:nt,shaderType:He.type,shaderName:He.name,vertexShader:gn,fragmentShader:fr,defines:He.defines,customVertexShaderID:qt,customFragmentShaderID:Xt,isRawShaderMaterial:He.isRawShaderMaterial===!0,glslVersion:He.glslVersion,precision:ue,batching:Gn,batchingColor:Gn&&pt._colorsTexture!==null,instancing:tr,instancingColor:tr&&pt.instanceColor!==null,instancingMorph:tr&&pt.morphTexture!==null,supportsVertexTextures:le,outputColorSpace:on===null?b.outputColorSpace:on.isXRRenderTarget===!0?on.texture.colorSpace:Ut,alphaToCoverage:!!He.alphaToCoverage,map:Er,matcap:ei,envMap:Ri,envMapMode:Ri&&Zn.mapping,envMapCubeUVHeight:Zt,aoMap:En,lightMap:gt,bumpMap:xr,normalMap:Lr,displacementMap:le&&_r,emissiveMap:Kr,normalMapObjectSpace:Lr&&He.normalMapType===We,normalMapTangentSpace:Lr&&He.normalMapType===je,metalnessMap:Xi,roughnessMap:li,anisotropy:Mi,anisotropyMap:qn,clearcoat:Pt,clearcoatMap:As,clearcoatNormalMap:pi,clearcoatRoughnessMap:Us,dispersion:et,iridescence:On,iridescenceMap:bs,iridescenceThicknessMap:Ur,sheen:vr,sheenColorMap:Ci,sheenRoughnessMap:_s,specularMap:fa,specularColorMap:di,specularIntensityMap:na,transmission:Cn,transmissionMap:mn,thicknessMap:Zi,gradientMap:mi,opaque:He.transparent===!1&&He.blending===cc&&He.alphaToCoverage===!1,alphaMap:Zr,alphaTest:oi,alphaHash:Gr,combine:He.combine,mapUv:Er&&xe(He.map.channel),aoMapUv:En&&xe(He.aoMap.channel),lightMapUv:gt&&xe(He.lightMap.channel),bumpMapUv:xr&&xe(He.bumpMap.channel),normalMapUv:Lr&&xe(He.normalMap.channel),displacementMapUv:_r&&xe(He.displacementMap.channel),emissiveMapUv:Kr&&xe(He.emissiveMap.channel),metalnessMapUv:Xi&&xe(He.metalnessMap.channel),roughnessMapUv:li&&xe(He.roughnessMap.channel),anisotropyMapUv:qn&&xe(He.anisotropyMap.channel),clearcoatMapUv:As&&xe(He.clearcoatMap.channel),clearcoatNormalMapUv:pi&&xe(He.clearcoatNormalMap.channel),clearcoatRoughnessMapUv:Us&&xe(He.clearcoatRoughnessMap.channel),iridescenceMapUv:bs&&xe(He.iridescenceMap.channel),iridescenceThicknessMapUv:Ur&&xe(He.iridescenceThicknessMap.channel),sheenColorMapUv:Ci&&xe(He.sheenColorMap.channel),sheenRoughnessMapUv:_s&&xe(He.sheenRoughnessMap.channel),specularMapUv:fa&&xe(He.specularMap.channel),specularColorMapUv:di&&xe(He.specularColorMap.channel),specularIntensityMapUv:na&&xe(He.specularIntensityMap.channel),transmissionMapUv:mn&&xe(He.transmissionMap.channel),thicknessMapUv:Zi&&xe(He.thicknessMap.channel),alphaMapUv:Zr&&xe(He.alphaMap.channel),vertexTangents:!!Ft.attributes.tangent&&(Lr||Mi),vertexColors:He.vertexColors,vertexAlphas:He.vertexColors===!0&&!!Ft.attributes.color&&Ft.attributes.color.itemSize===4,pointsUvs:pt.isPoints===!0&&!!Ft.attributes.uv&&(Er||Zr),fog:!!st,useFog:He.fog===!0,fogExp2:!!st&&st.isFogExp2,flatShading:He.flatShading===!0&&He.wireframe===!1,sizeAttenuation:He.sizeAttenuation===!0,logarithmicDepthBuffer:oe,reversedDepthBuffer:Hn,skinning:pt.isSkinnedMesh===!0,morphTargets:Ft.morphAttributes.position!==void 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Ll.vertexUv1s=ie.has(1),Ll.vertexUv2s=ie.has(2),Ll.vertexUv3s=ie.has(3),ie.clear(),Ll}function me(He){const Re=[];if(He.shaderID?Re.push(He.shaderID):(Re.push(He.customVertexShaderID),Re.push(He.customFragmentShaderID)),He.defines!==void 0)for(const Fe in He.defines)Re.push(Fe),Re.push(He.defines[Fe]);return He.isRawShaderMaterial===!1&&(Pe(Re,He),we(Re,He),Re.push(b.outputColorSpace)),Re.push(He.customProgramCacheKey),Re.join()}function Pe(He,Re){He.push(Re.precision),He.push(Re.outputColorSpace),He.push(Re.envMapMode),He.push(Re.envMapCubeUVHeight),He.push(Re.mapUv),He.push(Re.alphaMapUv),He.push(Re.lightMapUv),He.push(Re.aoMapUv),He.push(Re.bumpMapUv),He.push(Re.normalMapUv),He.push(Re.displacementMapUv),He.push(Re.emissiveMapUv),He.push(Re.metalnessMapUv),He.push(Re.roughnessMapUv),He.push(Re.anisotropyMapUv),He.push(Re.clearcoatMapUv),He.push(Re.clearcoatNormalMapUv),He.push(Re.clearcoatRoughnessMapUv),He.push(Re.iridescenceMapUv),He.push(Re.iridescenceThicknessMapUv),He.push(Re.sheenColorMapUv),He.push(Re.sheenRoughnessMapUv),He.push(Re.specularMapUv),He.push(Re.specularColorMapUv),He.push(Re.specularIntensityMapUv),He.push(Re.transmissionMapUv),He.push(Re.thicknessMapUv),He.push(Re.combine),He.push(Re.fogExp2),He.push(Re.sizeAttenuation),He.push(Re.morphTargetsCount),He.push(Re.morphAttributeCount),He.push(Re.numDirLights),He.push(Re.numPointLights),He.push(Re.numSpotLights),He.push(Re.numSpotLightMaps),He.push(Re.numHemiLights),He.push(Re.numRectAreaLights),He.push(Re.numDirLightShadows),He.push(Re.numPointLightShadows),He.push(Re.numSpotLightShadows),He.push(Re.numSpotLightShadowsWithMaps),He.push(Re.numLightProbes),He.push(Re.shadowMapType),He.push(Re.toneMapping),He.push(Re.numClippingPlanes),He.push(Re.numClipIntersection),He.push(Re.depthPacking)}function we(He,Re){te.disableAll(),Re.supportsVertexTextures&&te.enable(0),Re.instancing&&te.enable(1),Re.instancingColor&&te.enable(2),Re.instancingMorph&&te.enable(3),Re.matcap&&te.enable(4),Re.envMap&&te.enable(5),Re.normalMapObjectSpace&&te.enable(6),Re.normalMapTangentSpace&&te.enable(7),Re.clearcoat&&te.enable(8),Re.iridescence&&te.enable(9),Re.alphaTest&&te.enable(10),Re.vertexColors&&te.enable(11),Re.vertexAlphas&&te.enable(12),Re.vertexUv1s&&te.enable(13),Re.vertexUv2s&&te.enable(14),Re.vertexUv3s&&te.enable(15),Re.vertexTangents&&te.enable(16),Re.anisotropy&&te.enable(17),Re.alphaHash&&te.enable(18),Re.batching&&te.enable(19),Re.dispersion&&te.enable(20),Re.batchingColor&&te.enable(21),Re.gradientMap&&te.enable(22),He.push(te.mask),te.disableAll(),Re.fog&&te.enable(0),Re.useFog&&te.enable(1),Re.flatShading&&te.enable(2),Re.logarithmicDepthBuffer&&te.enable(3),Re.reversedDepthBuffer&&te.enable(4),Re.skinning&&te.enable(5),Re.morphTargets&&te.enable(6),Re.morphNormals&&te.enable(7),Re.morphColors&&te.enable(8),Re.premultipliedAlpha&&te.enable(9),Re.shadowMapEnabled&&te.enable(10),Re.doubleSided&&te.enable(11),Re.flipSided&&te.enable(12),Re.useDepthPacking&&te.enable(13),Re.dithering&&te.enable(14),Re.transmission&&te.enable(15),Re.sheen&&te.enable(16),Re.opaque&&te.enable(17),Re.pointsUvs&&te.enable(18),Re.decodeVideoTexture&&te.enable(19),Re.decodeVideoTextureEmissive&&te.enable(20),Re.alphaToCoverage&&te.enable(21),He.push(te.mask)}function 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b.groupOrder!==a.groupOrder?b.groupOrder-a.groupOrder:b.renderOrder!==a.renderOrder?b.renderOrder-a.renderOrder:b.material.id!==a.material.id?b.material.id-a.material.id:b.z!==a.z?b.z-a.z:b.id-a.id}function jT(b,a){return b.groupOrder!==a.groupOrder?b.groupOrder-a.groupOrder:b.renderOrder!==a.renderOrder?b.renderOrder-a.renderOrder:b.z!==a.z?a.z-b.z:b.id-a.id}function VT(){const b=[];let a=0;const x=[],y=[],E=[];function z(){a=0,x.length=0,y.length=0,E.length=0}function ee(oe,le,ue,he,xe,ve){let me=b[a];return me===void 0?(me={id:oe.id,object:oe,geometry:le,material:ue,groupOrder:he,renderOrder:oe.renderOrder,z:xe,group:ve},b[a]=me):(me.id=oe.id,me.object=oe,me.geometry=le,me.material=ue,me.groupOrder=he,me.renderOrder=oe.renderOrder,me.z=xe,me.group=ve),a++,me}function te(oe,le,ue,he,xe,ve){const me=ee(oe,le,ue,he,xe,ve);ue.transmission>0?y.push(me):ue.transparent===!0?E.push(me):x.push(me)}function ne(oe,le,ue,he,xe,ve){const me=ee(oe,le,ue,he,xe,ve);ue.transmission>0?y.unshift(me):ue.transparent===!0?E.unshift(me):x.unshift(me)}function ie(oe,le){x.length>1&&x.sort(oe||HG),y.length>1&&y.sort(le||jT),E.length>1&&E.sort(le||jT)}function ae(){for(let oe=a,le=b.length;oe<le;oe++){const ue=b[oe];if(ue.id===null)break;ue.id=null,ue.object=null,ue.geometry=null,ue.material=null,ue.group=null}}return{opaque:x,transmissive:y,transparent:E,init:z,push:te,unshift:ne,finish:ae,sort:ie}}function UG(){let b=new WeakMap;function a(y,E){const z=b.get(y);let ee;return z===void 0?(ee=new VT,b.set(y,[ee])):E>=z.length?(ee=new VT,z.push(ee)):ee=z[E],ee}function x(){b=new WeakMap}return{get:a,dispose:x}}function jG(){const b={};return{get:function(a){if(b[a.id]!==void 0)return b[a.id];let x;switch(a.type){case"DirectionalLight":x={direction:new ft,color:new Ki};break;case"SpotLight":x={position:new ft,direction:new ft,color:new Ki,distance:0,coneCos:0,penumbraCos:0,decay:0};break;case"PointLight":x={position:new ft,color:new Ki,distance:0,decay:0};break;case"HemisphereLight":x={direction:new ft,skyColor:new Ki,groundColor:new Ki};break;case"RectAreaLight":x={color:new Ki,position:new ft,halfWidth:new ft,halfHeight:new ft};break}return b[a.id]=x,x}}}function VG(){const b={};return{get:function(a){if(b[a.id]!==void 0)return b[a.id];let x;switch(a.type){case"DirectionalLight":x={shadowIntensity:1,shadowBias:0,shadowNormalBias:0,shadowRadius:1,shadowMapSize:new ar};break;case"SpotLight":x={shadowIntensity:1,shadowBias:0,shadowNormalBias:0,shadowRadius:1,shadowMapSize:new ar};break;case"PointLight":x={shadowIntensity:1,shadowBias:0,shadowNormalBias:0,shadowRadius:1,shadowMapSize:new ar,shadowCameraNear:1,shadowCameraFar:1e3};break}return b[a.id]=x,x}}}let GG=0;function XG(b,a){return(a.castShadow?2:0)-(b.castShadow?2:0)+(a.map?1:0)-(b.map?1:0)}function WG(b){const a=new jG,x=VG(),y={version:0,hash:{directionalLength:-1,pointLength:-1,spotLength:-1,rectAreaLength:-1,hemiLength:-1,numDirectionalShadows:-1,numPointShadows:-1,numSpotShadows:-1,numSpotMaps:-1,numLightProbes:-1},ambient:[0,0,0],probe:[],directional:[],directionalShadow:[],directionalShadowMap:[],directionalShadowMatrix:[],spot:[],spotLightMap:[],spotShadow:[],spotShadowMap:[],spotLightMatrix:[],rectArea:[],rectAreaLTC1:null,rectAreaLTC2:null,point:[],pointShadow:[],pointShadowMap:[],pointShadowMatrix:[],hemi:[],numSpotLightShadowsWithMaps:0,numLightProbes:0};for(let ie=0;ie<9;ie++)y.probe.push(new ft);const E=new ft,z=new Fs,ee=new Fs;function te(ie){let ae=0,oe=0,le=0;for(let He=0;He<9;He++)y.probe[He].set(0,0,0);let ue=0,he=0,xe=0,ve=0,me=0,Pe=0,we=0,Me=0,Le=0,De=0,ke=0;ie.sort(XG);for(let He=0,Re=ie.length;He<Re;He++){const Fe=ie[He],$e=Fe.color,pt=Fe.intensity,st=Fe.distance,Ft=Fe.shadow&&Fe.shadow.map?Fe.shadow.map.texture:null;if(Fe.isAmbientLight)ae+=$e.r*pt,oe+=$e.g*pt,le+=$e.b*pt;else if(Fe.isLightProbe){for(let an=0;an<9;an++)y.probe[an].addScaledVector(Fe.sh.coefficients[an],pt);ke++}else if(Fe.isDirectionalLight){const an=a.get(Fe);if(an.color.copy(Fe.color).multiplyScalar(Fe.intensity),Fe.castShadow){const Zn=Fe.shadow,Zt=x.get(Fe);Zt.shadowIntensity=Zn.intensity,Zt.shadowBias=Zn.bias,Zt.shadowNormalBias=Zn.normalBias,Zt.shadowRadius=Zn.radius,Zt.shadowMapSize=Zn.mapSize,y.directionalShadow[ue]=Zt,y.directionalShadowMap[ue]=Ft,y.directionalShadowMatrix[ue]=Fe.shadow.matrix,Pe++}y.directional[ue]=an,ue++}else if(Fe.isSpotLight){const an=a.get(Fe);an.position.setFromMatrixPosition(Fe.matrixWorld),an.color.copy($e).multiplyScalar(pt),an.distance=st,an.coneCos=Math.cos(Fe.angle),an.penumbraCos=Math.cos(Fe.angle*(1-Fe.penumbra)),an.decay=Fe.decay,y.spot[xe]=an;const Zn=Fe.shadow;if(Fe.map&&(y.spotLightMap[Le]=Fe.map,Le++,Zn.updateMatrices(Fe),Fe.castShadow&&De++),y.spotLightMatrix[xe]=Zn.matrix,Fe.castShadow){const Zt=x.get(Fe);Zt.shadowIntensity=Zn.intensity,Zt.shadowBias=Zn.bias,Zt.shadowNormalBias=Zn.normalBias,Zt.shadowRadius=Zn.radius,Zt.shadowMapSize=Zn.mapSize,y.spotShadow[xe]=Zt,y.spotShadowMap[xe]=Ft,Me++}xe++}else if(Fe.isRectAreaLight){const an=a.get(Fe);an.color.copy($e).multiplyScalar(pt),an.halfWidth.set(Fe.width*.5,0,0),an.halfHeight.set(0,Fe.height*.5,0),y.rectArea[ve]=an,ve++}else if(Fe.isPointLight){const an=a.get(Fe);if(an.color.copy(Fe.color).multiplyScalar(Fe.intensity),an.distance=Fe.distance,an.decay=Fe.decay,Fe.castShadow){const Zn=Fe.shadow,Zt=x.get(Fe);Zt.shadowIntensity=Zn.intensity,Zt.shadowBias=Zn.bias,Zt.shadowNormalBias=Zn.normalBias,Zt.shadowRadius=Zn.radius,Zt.shadowMapSize=Zn.mapSize,Zt.shadowCameraNear=Zn.camera.near,Zt.shadowCameraFar=Zn.camera.far,y.pointShadow[he]=Zt,y.pointShadowMap[he]=Ft,y.pointShadowMatrix[he]=Fe.shadow.matrix,we++}y.point[he]=an,he++}else if(Fe.isHemisphereLight){const an=a.get(Fe);an.skyColor.copy(Fe.color).multiplyScalar(pt),an.groundColor.copy(Fe.groundColor).multiplyScalar(pt),y.hemi[me]=an,me++}}ve>0&&(b.has("OES_texture_float_linear")===!0?(y.rectAreaLTC1=hs.LTC_FLOAT_1,y.rectAreaLTC2=hs.LTC_FLOAT_2):(y.rectAreaLTC1=hs.LTC_HALF_1,y.rectAreaLTC2=hs.LTC_HALF_2)),y.ambient[0]=ae,y.ambient[1]=oe,y.ambient[2]=le;const ze=y.hash;(ze.directionalLength!==ue||ze.pointLength!==he||ze.spotLength!==xe||ze.rectAreaLength!==ve||ze.hemiLength!==me||ze.numDirectionalShadows!==Pe||ze.numPointShadows!==we||ze.numSpotShadows!==Me||ze.numSpotMaps!==Le||ze.numLightProbes!==ke)&&(y.directional.length=ue,y.spot.length=xe,y.rectArea.length=ve,y.point.length=he,y.hemi.length=me,y.directionalShadow.length=Pe,y.directionalShadowMap.length=Pe,y.pointShadow.length=we,y.pointShadowMap.length=we,y.spotShadow.length=Me,y.spotShadowMap.length=Me,y.directionalShadowMatrix.length=Pe,y.pointShadowMatrix.length=we,y.spotLightMatrix.length=Me+Le-De,y.spotLightMap.length=Le,y.numSpotLightShadowsWithMaps=De,y.numLightProbes=ke,ze.directionalLength=ue,ze.pointLength=he,ze.spotLength=xe,ze.rectAreaLength=ve,ze.hemiLength=me,ze.numDirectionalShadows=Pe,ze.numPointShadows=we,ze.numSpotShadows=Me,ze.numSpotMaps=Le,ze.numLightProbes=ke,y.version=GG++)}function ne(ie,ae){let oe=0,le=0,ue=0,he=0,xe=0;const ve=ae.matrixWorldInverse;for(let me=0,Pe=ie.length;me<Pe;me++){const we=ie[me];if(we.isDirectionalLight){const Me=y.directional[oe];Me.direction.setFromMatrixPosition(we.matrixWorld),E.setFromMatrixPosition(we.target.matrixWorld),Me.direction.sub(E),Me.direction.transformDirection(ve),oe++}else if(we.isSpotLight){const Me=y.spot[ue];Me.position.setFromMatrixPosition(we.matrixWorld),Me.position.applyMatrix4(ve),Me.direction.setFromMatrixPosition(we.matrixWorld),E.setFromMatrixPosition(we.target.matrixWorld),Me.direction.sub(E),Me.direction.transformDirection(ve),ue++}else if(we.isRectAreaLight){const Me=y.rectArea[he];Me.position.setFromMatrixPosition(we.matrixWorld),Me.position.applyMatrix4(ve),ee.identity(),z.copy(we.matrixWorld),z.premultiply(ve),ee.extractRotation(z),Me.halfWidth.set(we.width*.5,0,0),Me.halfHeight.set(0,we.height*.5,0),Me.halfWidth.applyMatrix4(ee),Me.halfHeight.applyMatrix4(ee),he++}else if(we.isPointLight){const Me=y.point[le];Me.position.setFromMatrixPosition(we.matrixWorld),Me.position.applyMatrix4(ve),le++}else if(we.isHemisphereLight){const Me=y.hemi[xe];Me.direction.setFromMatrixPosition(we.matrixWorld),Me.direction.transformDirection(ve),xe++}}}return{setup:te,setupView:ne,state:y}}function GT(b){const a=new WG(b),x=[],y=[];function E(ae){ie.camera=ae,x.length=0,y.length=0}function z(ae){x.push(ae)}function ee(ae){y.push(ae)}function te(){a.setup(x)}function ne(ae){a.setupView(x,ae)}const ie={lightsArray:x,shadowsArray:y,camera:null,lights:a,transmissionRenderTarget:{}};return{init:E,state:ie,setupLights:te,setupLightsView:ne,pushLight:z,pushShadow:ee}}function QG(b){let a=new WeakMap;function x(E,z=0){const ee=a.get(E);let te;return ee===void 0?(te=new GT(b),a.set(E,[te])):z>=ee.length?(te=new GT(b),ee.push(te)):te=ee[z],te}function y(){a=new WeakMap}return{get:x,dispose:y}}const ZG=`void main() {
	gl_Position = vec4( position, 1.0 );
}`,YG=`uniform sampler2D shadow_pass;
uniform vec2 resolution;
uniform float radius;
#include <packing>
void main() {
	const float samples = float( VSM_SAMPLES );
	float mean = 0.0;
	float squared_mean = 0.0;
	float uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 );
	float uvStart = samples <= 1.0 ? 0.0 : - 1.0;
	for ( float i = 0.0; i < samples; i ++ ) {
		float uvOffset = uvStart + i * uvStride;
		#ifdef HORIZONTAL_PASS
			vec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) );
			mean += distribution.x;
			squared_mean += distribution.y * distribution.y + distribution.x * distribution.x;
		#else
			float depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) );
			mean += depth;
			squared_mean += depth * depth;
		#endif
	}
	mean = mean / samples;
	squared_mean = squared_mean / samples;
	float std_dev = sqrt( squared_mean - mean * mean );
	gl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) );
}`;function JG(b,a,x){let y=new XA;const E=new ar,z=new ar,ee=new la,te=new D8({depthPacking:pe}),ne=new I8,ie={},ae=x.maxTextureSize,oe={[Ol]:co,[co]:Ol,[Ko]:Ko},le=new qh({defines:{VSM_SAMPLES:8},uniforms:{shadow_pass:{value:null},resolution:{value:new ar},radius:{value:4}},vertexShader:ZG,fragmentShader:YG}),ue=le.clone();ue.defines.HORIZONTAL_PASS=1;const he=new io;he.setAttribute("position",new ql(new Float32Array([-1,-1,.5,3,-1,.5,-1,3,.5]),3));const xe=new Il(he,le),ve=this;this.enabled=!1,this.autoUpdate=!0,this.needsUpdate=!1,this.type=kd;let me=this.type;this.render=function(De,ke,ze){if(ve.enabled===!1||ve.autoUpdate===!1&&ve.needsUpdate===!1||De.length===0)return;const He=b.getRenderTarget(),Re=b.getActiveCubeFace(),Fe=b.getActiveMipmapLevel(),$e=b.state;$e.setBlending(tu),$e.buffers.depth.getReversed()===!0?$e.buffers.color.setClear(0,0,0,0):$e.buffers.color.setClear(1,1,1,1),$e.buffers.depth.setTest(!0),$e.setScissorTest(!1);const pt=me!==lu&&this.type===lu,st=me===lu&&this.type!==lu;for(let Ft=0,an=De.length;Ft<an;Ft++){const Zn=De[Ft],Zt=Zn.shadow;if(Zt===void 0){wn("WebGLShadowMap:",Zn,"has no shadow.");continue}if(Zt.autoUpdate===!1&&Zt.needsUpdate===!1)continue;E.copy(Zt.mapSize);const nt=Zt.getFrameExtents();if(E.multiply(nt),z.copy(Zt.mapSize),(E.x>ae||E.y>ae)&&(E.x>ae&&(z.x=Math.floor(ae/nt.x),E.x=z.x*nt.x,Zt.mapSize.x=z.x),E.y>ae&&(z.y=Math.floor(ae/nt.y),E.y=z.y*nt.y,Zt.mapSize.y=z.y)),Zt.map===null||pt===!0||st===!0){const vt=this.type!==lu?{minFilter:Do,magFilter:Do}:{};Zt.map!==null&&Zt.map.dispose(),Zt.map=new M0(E.x,E.y,vt),Zt.map.texture.name=Zn.name+".shadowMap",Zt.camera.updateProjectionMatrix()}b.setRenderTarget(Zt.map),b.clear();const Vt=Zt.getViewportCount();for(let vt=0;vt<Vt;vt++){const Yt=Zt.getViewport(vt);ee.set(z.x*Yt.x,z.y*Yt.y,z.x*Yt.z,z.y*Yt.w),$e.viewport(ee),Zt.updateMatrices(Zn,vt),y=Zt.getFrustum(),Me(ke,ze,Zt.camera,Zn,this.type)}Zt.isPointLightShadow!==!0&&this.type===lu&&Pe(Zt,ze),Zt.needsUpdate=!1}me=this.type,ve.needsUpdate=!1,b.setRenderTarget(He,Re,Fe)};function Pe(De,ke){const ze=a.update(xe);le.defines.VSM_SAMPLES!==De.blurSamples&&(le.defines.VSM_SAMPLES=De.blurSamples,ue.defines.VSM_SAMPLES=De.blurSamples,le.needsUpdate=!0,ue.needsUpdate=!0),De.mapPass===null&&(De.mapPass=new M0(E.x,E.y)),le.uniforms.shadow_pass.value=De.map.texture,le.uniforms.resolution.value=De.mapSize,le.uniforms.radius.value=De.radius,b.setRenderTarget(De.mapPass),b.clear(),b.renderBufferDirect(ke,null,ze,le,xe,null),ue.uniforms.shadow_pass.value=De.mapPass.texture,ue.uniforms.resolution.value=De.mapSize,ue.uniforms.radius.value=De.radius,b.setRenderTarget(De.map),b.clear(),b.renderBufferDirect(ke,null,ze,ue,xe,null)}function we(De,ke,ze,He){let Re=null;const Fe=ze.isPointLight===!0?De.customDistanceMaterial:De.customDepthMaterial;if(Fe!==void 0)Re=Fe;else if(Re=ze.isPointLight===!0?ne:te,b.localClippingEnabled&&ke.clipShadows===!0&&Array.isArray(ke.clippingPlanes)&&ke.clippingPlanes.length!==0||ke.displacementMap&&ke.displacementScale!==0||ke.alphaMap&&ke.alphaTest>0||ke.map&&ke.alphaTest>0||ke.alphaToCoverage===!0){const $e=Re.uuid,pt=ke.uuid;let st=ie[$e];st===void 0&&(st={},ie[$e]=st);let Ft=st[pt];Ft===void 0&&(Ft=Re.clone(),st[pt]=Ft,ke.addEventListener("dispose",Le)),Re=Ft}if(Re.visible=ke.visible,Re.wireframe=ke.wireframe,He===lu?Re.side=ke.shadowSide!==null?ke.shadowSide:ke.side:Re.side=ke.shadowSide!==null?ke.shadowSide:oe[ke.side],Re.alphaMap=ke.alphaMap,Re.alphaTest=ke.alphaToCoverage===!0?.5:ke.alphaTest,Re.map=ke.map,Re.clipShadows=ke.clipShadows,Re.clippingPlanes=ke.clippingPlanes,Re.clipIntersection=ke.clipIntersection,Re.displacementMap=ke.displacementMap,Re.displacementScale=ke.displacementScale,Re.displacementBias=ke.displacementBias,Re.wireframeLinewidth=ke.wireframeLinewidth,Re.linewidth=ke.linewidth,ze.isPointLight===!0&&Re.isMeshDistanceMaterial===!0){const $e=b.properties.get(Re);$e.light=ze}return Re}function Me(De,ke,ze,He,Re){if(De.visible===!1)return;if(De.layers.test(ke.layers)&&(De.isMesh||De.isLine||De.isPoints)&&(De.castShadow||De.receiveShadow&&Re===lu)&&(!De.frustumCulled||y.intersectsObject(De))){De.modelViewMatrix.multiplyMatrices(ze.matrixWorldInverse,De.matrixWorld);const pt=a.update(De),st=De.material;if(Array.isArray(st)){const Ft=pt.groups;for(let an=0,Zn=Ft.length;an<Zn;an++){const Zt=Ft[an],nt=st[Zt.materialIndex];if(nt&&nt.visible){const Vt=we(De,nt,He,Re);De.onBeforeShadow(b,De,ke,ze,pt,Vt,Zt),b.renderBufferDirect(ze,null,pt,Vt,De,Zt),De.onAfterShadow(b,De,ke,ze,pt,Vt,Zt)}}}else if(st.visible){const Ft=we(De,st,He,Re);De.onBeforeShadow(b,De,ke,ze,pt,Ft,null),b.renderBufferDirect(ze,null,pt,Ft,De,null),De.onAfterShadow(b,De,ke,ze,pt,Ft,null)}}const $e=De.children;for(let pt=0,st=$e.length;pt<st;pt++)Me($e[pt],ke,ze,He,Re)}function Le(De){De.target.removeEventListener("dispose",Le);for(const ze in ie){const He=ie[ze],Re=De.target.uuid;Re in He&&(He[Re].dispose(),delete He[Re])}}}const KG={[Ad]:Ff,[jd]:yd,[Tc]:oh,[xd]:Uc,[Ff]:Ad,[yd]:jd,[oh]:Tc,[Uc]:xd};function qG(b,a){function x(){let mn=!1;const Zi=new la;let mi=null;const Zr=new la(0,0,0,0);return{setMask:function(oi){mi!==oi&&!mn&&(b.colorMask(oi,oi,oi,oi),mi=oi)},setLocked:function(oi){mn=oi},setClear:function(oi,Gr,Rs,Xa,Ll){Ll===!0&&(oi*=Xa,Gr*=Xa,Rs*=Xa),Zi.set(oi,Gr,Rs,Xa),Zr.equals(Zi)===!1&&(b.clearColor(oi,Gr,Rs,Xa),Zr.copy(Zi))},reset:function(){mn=!1,mi=null,Zr.set(-1,0,0,0)}}}function y(){let mn=!1,Zi=!1,mi=null,Zr=null,oi=null;return{setReversed:function(Gr){if(Zi!==Gr){const Rs=a.get("EXT_clip_control");Gr?Rs.clipControlEXT(Rs.LOWER_LEFT_EXT,Rs.ZERO_TO_ONE_EXT):Rs.clipControlEXT(Rs.LOWER_LEFT_EXT,Rs.NEGATIVE_ONE_TO_ONE_EXT),Zi=Gr;const Xa=oi;oi=null,this.setClear(Xa)}},getReversed:function(){return Zi},setTest:function(Gr){Gr?on(b.DEPTH_TEST):Hn(b.DEPTH_TEST)},setMask:function(Gr){mi!==Gr&&!mn&&(b.depthMask(Gr),mi=Gr)},setFunc:function(Gr){if(Zi&&(Gr=KG[Gr]),Zr!==Gr){switch(Gr){case Ad:b.depthFunc(b.NEVER);break;case Ff:b.depthFunc(b.ALWAYS);break;case jd:b.depthFunc(b.LESS);break;case xd:b.depthFunc(b.LEQUAL);break;case Tc:b.depthFunc(b.EQUAL);break;case Uc:b.depthFunc(b.GEQUAL);break;case yd:b.depthFunc(b.GREATER);break;case oh:b.depthFunc(b.NOTEQUAL);break;default:b.depthFunc(b.LEQUAL)}Zr=Gr}},setLocked:function(Gr){mn=Gr},setClear:function(Gr){oi!==Gr&&(Zi&&(Gr=1-Gr),b.clearDepth(Gr),oi=Gr)},reset:function(){mn=!1,mi=null,Zr=null,oi=null,Zi=!1}}}function E(){let 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qn=et;if(et===b.RED&&(On===b.FLOAT&&(qn=b.R32F),On===b.HALF_FLOAT&&(qn=b.R16F),On===b.UNSIGNED_BYTE&&(qn=b.R8)),et===b.RED_INTEGER&&(On===b.UNSIGNED_BYTE&&(qn=b.R8UI),On===b.UNSIGNED_SHORT&&(qn=b.R16UI),On===b.UNSIGNED_INT&&(qn=b.R32UI),On===b.BYTE&&(qn=b.R8I),On===b.SHORT&&(qn=b.R16I),On===b.INT&&(qn=b.R32I)),et===b.RG&&(On===b.FLOAT&&(qn=b.RG32F),On===b.HALF_FLOAT&&(qn=b.RG16F),On===b.UNSIGNED_BYTE&&(qn=b.RG8)),et===b.RG_INTEGER&&(On===b.UNSIGNED_BYTE&&(qn=b.RG8UI),On===b.UNSIGNED_SHORT&&(qn=b.RG16UI),On===b.UNSIGNED_INT&&(qn=b.RG32UI),On===b.BYTE&&(qn=b.RG8I),On===b.SHORT&&(qn=b.RG16I),On===b.INT&&(qn=b.RG32I)),et===b.RGB_INTEGER&&(On===b.UNSIGNED_BYTE&&(qn=b.RGB8UI),On===b.UNSIGNED_SHORT&&(qn=b.RGB16UI),On===b.UNSIGNED_INT&&(qn=b.RGB32UI),On===b.BYTE&&(qn=b.RGB8I),On===b.SHORT&&(qn=b.RGB16I),On===b.INT&&(qn=b.RGB32I)),et===b.RGBA_INTEGER&&(On===b.UNSIGNED_BYTE&&(qn=b.RGBA8UI),On===b.UNSIGNED_SHORT&&(qn=b.RGBA16UI),On===b.UNSIGNED_INT&&(qn=b.RGBA32UI),On===b.BYTE&&(qn=b.RGBA8I),On===b.SHORT&&(qn=b.RGBA16I),On===b.INT&&(qn=b.RGBA32I)),et===b.RGB&&(On===b.UNSIGNED_INT_5_9_9_9_REV&&(qn=b.RGB9_E5),On===b.UNSIGNED_INT_10F_11F_11F_REV&&(qn=b.R11F_G11F_B10F)),et===b.RGBA){const As=Cn?Pn:ba.getTransfer(vr);On===b.FLOAT&&(qn=b.RGBA32F),On===b.HALF_FLOAT&&(qn=b.RGBA16F),On===b.UNSIGNED_BYTE&&(qn=As===kt?b.SRGB8_ALPHA8:b.RGBA8),On===b.UNSIGNED_SHORT_4_4_4_4&&(qn=b.RGBA4),On===b.UNSIGNED_SHORT_5_5_5_1&&(qn=b.RGB5_A1)}return(qn===b.R16F||qn===b.R32F||qn===b.RG16F||qn===b.RG32F||qn===b.RGBA16F||qn===b.RGBA32F)&&a.get("EXT_color_buffer_float"),qn}function Me(Pt,et){let On;return Pt?et===null||et===fl||et===id?On=b.DEPTH24_STENCIL8:et===zl?On=b.DEPTH32F_STENCIL8:et===Xd&&(On=b.DEPTH24_STENCIL8,wn("DepthTexture: 16 bit depth attachment is not supported with stencil. 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OES_texture_float_linear not supported on this device."),b.texParameteri(Pt,b.TEXTURE_WRAP_S,nt[et.wrapS]),b.texParameteri(Pt,b.TEXTURE_WRAP_T,nt[et.wrapT]),(Pt===b.TEXTURE_3D||Pt===b.TEXTURE_2D_ARRAY)&&b.texParameteri(Pt,b.TEXTURE_WRAP_R,nt[et.wrapR]),b.texParameteri(Pt,b.TEXTURE_MAG_FILTER,Vt[et.magFilter]),b.texParameteri(Pt,b.TEXTURE_MIN_FILTER,Vt[et.minFilter]),et.compareFunction&&(b.texParameteri(Pt,b.TEXTURE_COMPARE_MODE,b.COMPARE_REF_TO_TEXTURE),b.texParameteri(Pt,b.TEXTURE_COMPARE_FUNC,vt[et.compareFunction])),a.has("EXT_texture_filter_anisotropic")===!0){if(et.magFilter===Do||et.minFilter!==mf&&et.minFilter!==Wu||et.type===zl&&a.has("OES_texture_float_linear")===!1)return;if(et.anisotropy>1||y.get(et).__currentAnisotropy){const On=a.get("EXT_texture_filter_anisotropic");b.texParameterf(Pt,On.TEXTURE_MAX_ANISOTROPY_EXT,Math.min(et.anisotropy,E.getMaxAnisotropy())),y.get(et).__currentAnisotropy=et.anisotropy}}}function gn(Pt,et){let On=!1;Pt.__webglInit===void 0&&(Pt.__webglInit=!0,et.addEventListener("dispose",De));const vr=et.source;let Cn=le.get(vr);Cn===void 0&&(Cn={},le.set(vr,Cn));const qn=st(et);if(qn!==Pt.__cacheKey){Cn[qn]===void 0&&(Cn[qn]={texture:b.createTexture(),usedTimes:0},ee.memory.textures++,On=!0),Cn[qn].usedTimes++;const As=Cn[Pt.__cacheKey];As!==void 0&&(Cn[Pt.__cacheKey].usedTimes--,As.usedTimes===0&&He(et)),Pt.__cacheKey=qn,Pt.__webglTexture=Cn[qn].texture}return On}function fr(Pt,et,On){return Math.floor(Math.floor(Pt/On)/et)}function qt(Pt,et,On,vr){const qn=Pt.updateRanges;if(qn.length===0)x.texSubImage2D(b.TEXTURE_2D,0,0,0,et.width,et.height,On,vr,et.data);else{qn.sort((Ur,Ci)=>Ur.start-Ci.start);let As=0;for(let Ur=1;Ur<qn.length;Ur++){const Ci=qn[As],_s=qn[Ur],fa=Ci.start+Ci.count,di=fr(_s.start,et.width,4),na=fr(Ci.start,et.width,4);_s.start<=fa+1&&di===na&&fr(_s.start+_s.count-1,et.width,4)===di?Ci.count=Math.max(Ci.count,_s.start+_s.count-Ci.start):(++As,qn[As]=_s)}qn.length=As+1;const pi=b.getParameter(b.UNPACK_ROW_LENGTH),Us=b.getParameter(b.UNPACK_SKIP_PIXELS),bs=b.getParameter(b.UNPACK_SKIP_ROWS);b.pixelStorei(b.UNPACK_ROW_LENGTH,et.width);for(let Ur=0,Ci=qn.length;Ur<Ci;Ur++){const _s=qn[Ur],fa=Math.floor(_s.start/4),di=Math.ceil(_s.count/4),na=fa%et.width,mn=Math.floor(fa/et.width),Zi=di,mi=1;b.pixelStorei(b.UNPACK_SKIP_PIXELS,na),b.pixelStorei(b.UNPACK_SKIP_ROWS,mn),x.texSubImage2D(b.TEXTURE_2D,0,na,mn,Zi,mi,On,vr,et.data)}Pt.clearUpdateRanges(),b.pixelStorei(b.UNPACK_ROW_LENGTH,pi),b.pixelStorei(b.UNPACK_SKIP_PIXELS,Us),b.pixelStorei(b.UNPACK_SKIP_ROWS,bs)}}function Xt(Pt,et,On){let vr=b.TEXTURE_2D;(et.isDataArrayTexture||et.isCompressedArrayTexture)&&(vr=b.TEXTURE_2D_ARRAY),et.isData3DTexture&&(vr=b.TEXTURE_3D);const Cn=gn(Pt,et),qn=et.source;x.bindTexture(vr,Pt.__webglTexture,b.TEXTURE0+On);const As=y.get(qn);if(qn.version!==As.__version||Cn===!0){x.activeTexture(b.TEXTURE0+On);const pi=ba.getPrimaries(ba.workingColorSpace),Us=et.colorSpace===Je?null:ba.getPrimaries(et.colorSpace),bs=et.colorSpace===Je||pi===Us?b.NONE:b.BROWSER_DEFAULT_WEBGL;b.pixelStorei(b.UNPACK_FLIP_Y_WEBGL,et.flipY),b.pixelStorei(b.UNPACK_PREMULTIPLY_ALPHA_WEBGL,et.premultiplyAlpha),b.pixelStorei(b.UNPACK_ALIGNMENT,et.unpackAlignment),b.pixelStorei(b.UNPACK_COLORSPACE_CONVERSION_WEBGL,bs);let Ur=xe(et.image,!1,E.maxTextureSize);Ur=li(et,Ur);const Ci=z.convert(et.format,et.colorSpace),_s=z.convert(et.type);let fa=we(et.internalFormat,Ci,_s,et.colorSpace,et.isVideoTexture);Yt(vr,et);let di;const na=et.mipmaps,mn=et.isVideoTexture!==!0,Zi=As.__version===void 0||Cn===!0,mi=qn.dataReady,Zr=Le(et,Ur);if(et.isDepthTexture)fa=Me(et.format===jc,et.type),Zi&&(mn?x.texStorage2D(b.TEXTURE_2D,1,fa,Ur.width,Ur.height):x.texImage2D(b.TEXTURE_2D,0,fa,Ur.width,Ur.height,0,Ci,_s,null));else if(et.isDataTexture)if(na.length>0){mn&&Zi&&x.texStorage2D(b.TEXTURE_2D,Zr,fa,na[0].width,na[0].height);for(let oi=0,Gr=na.length;oi<Gr;oi++)di=na[oi],mn?mi&&x.texSubImage2D(b.TEXTURE_2D,oi,0,0,di.width,di.height,Ci,_s,di.data):x.texImage2D(b.TEXTURE_2D,oi,fa,di.width,di.height,0,Ci,_s,di.data);et.generateMipmaps=!1}else mn?(Zi&&x.texStorage2D(b.TEXTURE_2D,Zr,fa,Ur.width,Ur.height),mi&&qt(et,Ur,Ci,_s)):x.texImage2D(b.TEXTURE_2D,0,fa,Ur.width,Ur.height,0,Ci,_s,Ur.data);else if(et.isCompressedTexture)if(et.isCompressedArrayTexture){mn&&Zi&&x.texStorage3D(b.TEXTURE_2D_ARRAY,Zr,fa,na[0].width,na[0].height,Ur.depth);for(let oi=0,Gr=na.length;oi<Gr;oi++)if(di=na[oi],et.format!==El)if(Ci!==null)if(mn){if(mi)if(et.layerUpdates.size>0){const Rs=yE(di.width,di.height,et.format,et.type);for(const Xa of et.layerUpdates){const Ll=di.data.subarray(Xa*Rs/di.data.BYTES_PER_ELEMENT,(Xa+1)*Rs/di.data.BYTES_PER_ELEMENT);x.compressedTexSubImage3D(b.TEXTURE_2D_ARRAY,oi,0,0,Xa,di.width,di.height,1,Ci,Ll)}et.clearLayerUpdates()}else x.compressedTexSubImage3D(b.TEXTURE_2D_ARRAY,oi,0,0,0,di.width,di.height,Ur.depth,Ci,di.data)}else x.compressedTexImage3D(b.TEXTURE_2D_ARRAY,oi,fa,di.width,di.height,Ur.depth,0,di.data,0,0);else wn("WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()");else mn?mi&&x.texSubImage3D(b.TEXTURE_2D_ARRAY,oi,0,0,0,di.width,di.height,Ur.depth,Ci,_s,di.data):x.texImage3D(b.TEXTURE_2D_ARRAY,oi,fa,di.width,di.height,Ur.depth,0,Ci,_s,di.data)}else{mn&&Zi&&x.texStorage2D(b.TEXTURE_2D,Zr,fa,na[0].width,na[0].height);for(let oi=0,Gr=na.length;oi<Gr;oi++)di=na[oi],et.format!==El?Ci!==null?mn?mi&&x.compressedTexSubImage2D(b.TEXTURE_2D,oi,0,0,di.width,di.height,Ci,di.data):x.compressedTexImage2D(b.TEXTURE_2D,oi,fa,di.width,di.height,0,di.data):wn("WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()"):mn?mi&&x.texSubImage2D(b.TEXTURE_2D,oi,0,0,di.width,di.height,Ci,_s,di.data):x.texImage2D(b.TEXTURE_2D,oi,fa,di.width,di.height,0,Ci,_s,di.data)}else if(et.isDataArrayTexture)if(mn){if(Zi&&x.texStorage3D(b.TEXTURE_2D_ARRAY,Zr,fa,Ur.width,Ur.height,Ur.depth),mi)if(et.layerUpdates.size>0){const oi=yE(Ur.width,Ur.height,et.format,et.type);for(const Gr of et.layerUpdates){const Rs=Ur.data.subarray(Gr*oi/Ur.data.BYTES_PER_ELEMENT,(Gr+1)*oi/Ur.data.BYTES_PER_ELEMENT);x.texSubImage3D(b.TEXTURE_2D_ARRAY,0,0,0,Gr,Ur.width,Ur.height,1,Ci,_s,Rs)}et.clearLayerUpdates()}else x.texSubImage3D(b.TEXTURE_2D_ARRAY,0,0,0,0,Ur.width,Ur.height,Ur.depth,Ci,_s,Ur.data)}else x.texImage3D(b.TEXTURE_2D_ARRAY,0,fa,Ur.width,Ur.height,Ur.depth,0,Ci,_s,Ur.data);else if(et.isData3DTexture)mn?(Zi&&x.texStorage3D(b.TEXTURE_3D,Zr,fa,Ur.width,Ur.height,Ur.depth),mi&&x.texSubImage3D(b.TEXTURE_3D,0,0,0,0,Ur.width,Ur.height,Ur.depth,Ci,_s,Ur.data)):x.texImage3D(b.TEXTURE_3D,0,fa,Ur.width,Ur.height,Ur.depth,0,Ci,_s,Ur.data);else if(et.isFramebufferTexture){if(Zi)if(mn)x.texStorage2D(b.TEXTURE_2D,Zr,fa,Ur.width,Ur.height);else{let oi=Ur.width,Gr=Ur.height;for(let Rs=0;Rs<Zr;Rs++)x.texImage2D(b.TEXTURE_2D,Rs,fa,oi,Gr,0,Ci,_s,null),oi>>=1,Gr>>=1}}else if(na.length>0){if(mn&&Zi){const oi=Mi(na[0]);x.texStorage2D(b.TEXTURE_2D,Zr,fa,oi.width,oi.height)}for(let oi=0,Gr=na.length;oi<Gr;oi++)di=na[oi],mn?mi&&x.texSubImage2D(b.TEXTURE_2D,oi,0,0,Ci,_s,di):x.texImage2D(b.TEXTURE_2D,oi,fa,Ci,_s,di);et.generateMipmaps=!1}else if(mn){if(Zi){const oi=Mi(Ur);x.texStorage2D(b.TEXTURE_2D,Zr,fa,oi.width,oi.height)}mi&&x.texSubImage2D(b.TEXTURE_2D,0,0,0,Ci,_s,Ur)}else x.texImage2D(b.TEXTURE_2D,0,fa,Ci,_s,Ur);ve(et)&&me(vr),As.__version=qn.version,et.onUpdate&&et.onUpdate(et)}Pt.__version=et.version}function on(Pt,et,On){if(et.image.length!==6)return;const vr=gn(Pt,et),Cn=et.source;x.bindTexture(b.TEXTURE_CUBE_MAP,Pt.__webglTexture,b.TEXTURE0+On);const qn=y.get(Cn);if(Cn.version!==qn.__version||vr===!0){x.activeTexture(b.TEXTURE0+On);const As=ba.getPrimaries(ba.workingColorSpace),pi=et.colorSpace===Je?null:ba.getPrimaries(et.colorSpace),Us=et.colorSpace===Je||As===pi?b.NONE:b.BROWSER_DEFAULT_WEBGL;b.pixelStorei(b.UNPACK_FLIP_Y_WEBGL,et.flipY),b.pixelStorei(b.UNPACK_PREMULTIPLY_ALPHA_WEBGL,et.premultiplyAlpha),b.pixelStorei(b.UNPACK_ALIGNMENT,et.unpackAlignment),b.pixelStorei(b.UNPACK_COLORSPACE_CONVERSION_WEBGL,Us);const bs=et.isCompressedTexture||et.image[0].isCompressedTexture,Ur=et.image[0]&&et.image[0].isDataTexture,Ci=[];for(let Gr=0;Gr<6;Gr++)!bs&&!Ur?Ci[Gr]=xe(et.image[Gr],!0,E.maxCubemapSize):Ci[Gr]=Ur?et.image[Gr].image:et.image[Gr],Ci[Gr]=li(et,Ci[Gr]);const _s=Ci[0],fa=z.convert(et.format,et.colorSpace),di=z.convert(et.type),na=we(et.internalFormat,fa,di,et.colorSpace),mn=et.isVideoTexture!==!0,Zi=qn.__version===void 0||vr===!0,mi=Cn.dataReady;let Zr=Le(et,_s);Yt(b.TEXTURE_CUBE_MAP,et);let oi;if(bs){mn&&Zi&&x.texStorage2D(b.TEXTURE_CUBE_MAP,Zr,na,_s.width,_s.height);for(let Gr=0;Gr<6;Gr++){oi=Ci[Gr].mipmaps;for(let Rs=0;Rs<oi.length;Rs++){const Xa=oi[Rs];et.format!==El?fa!==null?mn?mi&&x.compressedTexSubImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,Rs,0,0,Xa.width,Xa.height,fa,Xa.data):x.compressedTexImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,Rs,na,Xa.width,Xa.height,0,Xa.data):wn("WebGLRenderer: Attempt to load unsupported compressed texture format in .setTextureCube()"):mn?mi&&x.texSubImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,Rs,0,0,Xa.width,Xa.height,fa,di,Xa.data):x.texImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,Rs,na,Xa.width,Xa.height,0,fa,di,Xa.data)}}}else{if(oi=et.mipmaps,mn&&Zi){oi.length>0&&Zr++;const Gr=Mi(Ci[0]);x.texStorage2D(b.TEXTURE_CUBE_MAP,Zr,na,Gr.width,Gr.height)}for(let Gr=0;Gr<6;Gr++)if(Ur){mn?mi&&x.texSubImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,0,0,0,Ci[Gr].width,Ci[Gr].height,fa,di,Ci[Gr].data):x.texImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,0,na,Ci[Gr].width,Ci[Gr].height,0,fa,di,Ci[Gr].data);for(let Rs=0;Rs<oi.length;Rs++){const Ll=oi[Rs].image[Gr].image;mn?mi&&x.texSubImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,Rs+1,0,0,Ll.width,Ll.height,fa,di,Ll.data):x.texImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,Rs+1,na,Ll.width,Ll.height,0,fa,di,Ll.data)}}else{mn?mi&&x.texSubImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,0,0,0,fa,di,Ci[Gr]):x.texImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,0,na,fa,di,Ci[Gr]);for(let Rs=0;Rs<oi.length;Rs++){const Xa=oi[Rs];mn?mi&&x.texSubImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,Rs+1,0,0,fa,di,Xa.image[Gr]):x.texImage2D(b.TEXTURE_CUBE_MAP_POSITIVE_X+Gr,Rs+1,na,fa,di,Xa.image[Gr])}}}ve(et)&&me(b.TEXTURE_CUBE_MAP),qn.__version=Cn.version,et.onUpdate&&et.onUpdate(et)}Pt.__version=et.version}function Hn(Pt,et,On,vr,Cn,qn){const As=z.convert(On.format,On.colorSpace),pi=z.convert(On.type),Us=we(On.internalFormat,As,pi,On.colorSpace),bs=y.get(et),Ur=y.get(On);if(Ur.__renderTarget=et,!bs.__hasExternalTextures){const Ci=Math.max(1,et.width>>qn),_s=Math.max(1,et.height>>qn);Cn===b.TEXTURE_3D||Cn===b.TEXTURE_2D_ARRAY?x.texImage3D(Cn,qn,Us,Ci,_s,et.depth,0,As,pi,null):x.texImage2D(Cn,qn,Us,Ci,_s,0,As,pi,null)}x.bindFramebuffer(b.FRAMEBUFFER,Pt),Kr(et)?te.framebufferTexture2DMultisampleEXT(b.FRAMEBUFFER,vr,Cn,Ur.__webglTexture,0,_r(et)):(Cn===b.TEXTURE_2D||Cn>=b.TEXTURE_CUBE_MAP_POSITIVE_X&&Cn<=b.TEXTURE_CUBE_MAP_NEGATIVE_Z)&&b.framebufferTexture2D(b.FRAMEBUFFER,vr,Cn,Ur.__webglTexture,qn),x.bindFramebuffer(b.FRAMEBUFFER,null)}function tr(Pt,et,On){if(b.bindRenderbuffer(b.RENDERBUFFER,Pt),et.depthBuffer){const vr=et.depthTexture,Cn=vr&&vr.isDepthTexture?vr.type:null,qn=Me(et.stencilBuffer,Cn),As=et.stencilBuffer?b.DEPTH_STENCIL_ATTACHMENT:b.DEPTH_ATTACHMENT,pi=_r(et);Kr(et)?te.renderbufferStorageMultisampleEXT(b.RENDERBUFFER,pi,qn,et.width,et.height):On?b.renderbufferStorageMultisample(b.RENDERBUFFER,pi,qn,et.width,et.height):b.renderbufferStorage(b.RENDERBUFFER,qn,et.width,et.height),b.framebufferRenderbuffer(b.FRAMEBUFFER,As,b.RENDERBUFFER,Pt)}else{const vr=et.textures;for(let Cn=0;Cn<vr.length;Cn++){const qn=vr[Cn],As=z.convert(qn.format,qn.colorSpace),pi=z.convert(qn.type),Us=we(qn.internalFormat,As,pi,qn.colorSpace),bs=_r(et);On&&Kr(et)===!1?b.renderbufferStorageMultisample(b.RENDERBUFFER,bs,Us,et.width,et.height):Kr(et)?te.renderbufferStorageMultisampleEXT(b.RENDERBUFFER,bs,Us,et.width,et.height):b.renderbufferStorage(b.RENDERBUFFER,Us,et.width,et.height)}}b.bindRenderbuffer(b.RENDERBUFFER,null)}function Gn(Pt,et){if(et&&et.isWebGLCubeRenderTarget)throw new Error("Depth Texture with cube render targets is not supported");if(x.bindFramebuffer(b.FRAMEBUFFER,Pt),!(et.depthTexture&&et.depthTexture.isDepthTexture))throw new Error("renderTarget.depthTexture must be an instance of THREE.DepthTexture");const vr=y.get(et.depthTexture);vr.__renderTarget=et,(!vr.__webglTexture||et.depthTexture.image.width!==et.width||et.depthTexture.image.height!==et.height)&&(et.depthTexture.image.width=et.width,et.depthTexture.image.height=et.height,et.depthTexture.needsUpdate=!0),Ft(et.depthTexture,0);const Cn=vr.__webglTexture,qn=_r(et);if(et.depthTexture.format===Ed)Kr(et)?te.framebufferTexture2DMultisampleEXT(b.FRAMEBUFFER,b.DEPTH_ATTACHMENT,b.TEXTURE_2D,Cn,0,qn):b.framebufferTexture2D(b.FRAMEBUFFER,b.DEPTH_ATTACHMENT,b.TEXTURE_2D,Cn,0);else if(et.depthTexture.format===jc)Kr(et)?te.framebufferTexture2DMultisampleEXT(b.FRAMEBUFFER,b.DEPTH_STENCIL_ATTACHMENT,b.TEXTURE_2D,Cn,0,qn):b.framebufferTexture2D(b.FRAMEBUFFER,b.DEPTH_STENCIL_ATTACHMENT,b.TEXTURE_2D,Cn,0);else throw new Error("Unknown depthTexture format")}function Er(Pt){const et=y.get(Pt),On=Pt.isWebGLCubeRenderTarget===!0;if(et.__boundDepthTexture!==Pt.depthTexture){const vr=Pt.depthTexture;if(et.__depthDisposeCallback&&et.__depthDisposeCallback(),vr){const Cn=()=>{delete et.__boundDepthTexture,delete et.__depthDisposeCallback,vr.removeEventListener("dispose",Cn)};vr.addEventListener("dispose",Cn),et.__depthDisposeCallback=Cn}et.__boundDepthTexture=vr}if(Pt.depthTexture&&!et.__autoAllocateDepthBuffer){if(On)throw new Error("target.depthTexture not supported in Cube render targets");const vr=Pt.texture.mipmaps;vr&&vr.length>0?Gn(et.__webglFramebuffer[0],Pt):Gn(et.__webglFramebuffer,Pt)}else if(On){et.__webglDepthbuffer=[];for(let vr=0;vr<6;vr++)if(x.bindFramebuffer(b.FRAMEBUFFER,et.__webglFramebuffer[vr]),et.__webglDepthbuffer[vr]===void 0)et.__webglDepthbuffer[vr]=b.createRenderbuffer(),tr(et.__webglDepthbuffer[vr],Pt,!1);else{const Cn=Pt.stencilBuffer?b.DEPTH_STENCIL_ATTACHMENT:b.DEPTH_ATTACHMENT,qn=et.__webglDepthbuffer[vr];b.bindRenderbuffer(b.RENDERBUFFER,qn),b.framebufferRenderbuffer(b.FRAMEBUFFER,Cn,b.RENDERBUFFER,qn)}}else{const vr=Pt.texture.mipmaps;if(vr&&vr.length>0?x.bindFramebuffer(b.FRAMEBUFFER,et.__webglFramebuffer[0]):x.bindFramebuffer(b.FRAMEBUFFER,et.__webglFramebuffer),et.__webglDepthbuffer===void 0)et.__webglDepthbuffer=b.createRenderbuffer(),tr(et.__webglDepthbuffer,Pt,!1);else{const Cn=Pt.stencilBuffer?b.DEPTH_STENCIL_ATTACHMENT:b.DEPTH_ATTACHMENT,qn=et.__webglDepthbuffer;b.bindRenderbuffer(b.RENDERBUFFER,qn),b.framebufferRenderbuffer(b.FRAMEBUFFER,Cn,b.RENDERBUFFER,qn)}}x.bindFramebuffer(b.FRAMEBUFFER,null)}function ei(Pt,et,On){const vr=y.get(Pt);et!==void 0&&Hn(vr.__webglFramebuffer,Pt,Pt.texture,b.COLOR_ATTACHMENT0,b.TEXTURE_2D,0),On!==void 0&&Er(Pt)}function Ri(Pt){const et=Pt.texture,On=y.get(Pt),vr=y.get(et);Pt.addEventListener("dispose",ke);const Cn=Pt.textures,qn=Pt.isWebGLCubeRenderTarget===!0,As=Cn.length>1;if(As||(vr.__webglTexture===void 0&&(vr.__webglTexture=b.createTexture()),vr.__version=et.version,ee.memory.textures++),qn){On.__webglFramebuffer=[];for(let pi=0;pi<6;pi++)if(et.mipmaps&&et.mipmaps.length>0){On.__webglFramebuffer[pi]=[];for(let Us=0;Us<et.mipmaps.length;Us++)On.__webglFramebuffer[pi][Us]=b.createFramebuffer()}else On.__webglFramebuffer[pi]=b.createFramebuffer()}else{if(et.mipmaps&&et.mipmaps.length>0){On.__webglFramebuffer=[];for(let pi=0;pi<et.mipmaps.length;pi++)On.__webglFramebuffer[pi]=b.createFramebuffer()}else On.__webglFramebuffer=b.createFramebuffer();if(As)for(let pi=0,Us=Cn.length;pi<Us;pi++){const bs=y.get(Cn[pi]);bs.__webglTexture===void 0&&(bs.__webglTexture=b.createTexture(),ee.memory.textures++)}if(Pt.samples>0&&Kr(Pt)===!1){On.__webglMultisampledFramebuffer=b.createFramebuffer(),On.__webglColorRenderbuffer=[],x.bindFramebuffer(b.FRAMEBUFFER,On.__webglMultisampledFramebuffer);for(let pi=0;pi<Cn.length;pi++){const Us=Cn[pi];On.__webglColorRenderbuffer[pi]=b.createRenderbuffer(),b.bindRenderbuffer(b.RENDERBUFFER,On.__webglColorRenderbuffer[pi]);const bs=z.convert(Us.format,Us.colorSpace),Ur=z.convert(Us.type),Ci=we(Us.internalFormat,bs,Ur,Us.colorSpace,Pt.isXRRenderTarget===!0),_s=_r(Pt);b.renderbufferStorageMultisample(b.RENDERBUFFER,_s,Ci,Pt.width,Pt.height),b.framebufferRenderbuffer(b.FRAMEBUFFER,b.COLOR_ATTACHMENT0+pi,b.RENDERBUFFER,On.__webglColorRenderbuffer[pi])}b.bindRenderbuffer(b.RENDERBUFFER,null),Pt.depthBuffer&&(On.__webglDepthRenderbuffer=b.createRenderbuffer(),tr(On.__webglDepthRenderbuffer,Pt,!0)),x.bindFramebuffer(b.FRAMEBUFFER,null)}}if(qn){x.bindTexture(b.TEXTURE_CUBE_MAP,vr.__webglTexture),Yt(b.TEXTURE_CUBE_MAP,et);for(let pi=0;pi<6;pi++)if(et.mipmaps&&et.mipmaps.length>0)for(let Us=0;Us<et.mipmaps.length;Us++)Hn(On.__webglFramebuffer[pi][Us],Pt,et,b.COLOR_ATTACHMENT0,b.TEXTURE_CUBE_MAP_POSITIVE_X+pi,Us);else Hn(On.__webglFramebuffer[pi],Pt,et,b.COLOR_ATTACHMENT0,b.TEXTURE_CUBE_MAP_POSITIVE_X+pi,0);ve(et)&&me(b.TEXTURE_CUBE_MAP),x.unbindTexture()}else if(As){for(let pi=0,Us=Cn.length;pi<Us;pi++){const bs=Cn[pi],Ur=y.get(bs);let Ci=b.TEXTURE_2D;(Pt.isWebGL3DRenderTarget||Pt.isWebGLArrayRenderTarget)&&(Ci=Pt.isWebGL3DRenderTarget?b.TEXTURE_3D:b.TEXTURE_2D_ARRAY),x.bindTexture(Ci,Ur.__webglTexture),Yt(Ci,bs),Hn(On.__webglFramebuffer,Pt,bs,b.COLOR_ATTACHMENT0+pi,Ci,0),ve(bs)&&me(Ci)}x.unbindTexture()}else{let pi=b.TEXTURE_2D;if((Pt.isWebGL3DRenderTarget||Pt.isWebGLArrayRenderTarget)&&(pi=Pt.isWebGL3DRenderTarget?b.TEXTURE_3D:b.TEXTURE_2D_ARRAY),x.bindTexture(pi,vr.__webglTexture),Yt(pi,et),et.mipmaps&&et.mipmaps.length>0)for(let Us=0;Us<et.mipmaps.length;Us++)Hn(On.__webglFramebuffer[Us],Pt,et,b.COLOR_ATTACHMENT0,pi,Us);else Hn(On.__webglFramebuffer,Pt,et,b.COLOR_ATTACHMENT0,pi,0);ve(et)&&me(pi),x.unbindTexture()}Pt.depthBuffer&&Er(Pt)}function En(Pt){const et=Pt.textures;for(let On=0,vr=et.length;On<vr;On++){const Cn=et[On];if(ve(Cn)){const qn=Pe(Pt),As=y.get(Cn).__webglTexture;x.bindTexture(qn,As),me(qn),x.unbindTexture()}}}const gt=[],xr=[];function Lr(Pt){if(Pt.samples>0){if(Kr(Pt)===!1){const et=Pt.textures,On=Pt.width,vr=Pt.height;let Cn=b.COLOR_BUFFER_BIT;const qn=Pt.stencilBuffer?b.DEPTH_STENCIL_ATTACHMENT:b.DEPTH_ATTACHMENT,As=y.get(Pt),pi=et.length>1;if(pi)for(let bs=0;bs<et.length;bs++)x.bindFramebuffer(b.FRAMEBUFFER,As.__webglMultisampledFramebuffer),b.framebufferRenderbuffer(b.FRAMEBUFFER,b.COLOR_ATTACHMENT0+bs,b.RENDERBUFFER,null),x.bindFramebuffer(b.FRAMEBUFFER,As.__webglFramebuffer),b.framebufferTexture2D(b.DRAW_FRAMEBUFFER,b.COLOR_ATTACHMENT0+bs,b.TEXTURE_2D,null,0);x.bindFramebuffer(b.READ_FRAMEBUFFER,As.__webglMultisampledFramebuffer);const Us=Pt.texture.mipmaps;Us&&Us.length>0?x.bindFramebuffer(b.DRAW_FRAMEBUFFER,As.__webglFramebuffer[0]):x.bindFramebuffer(b.DRAW_FRAMEBUFFER,As.__webglFramebuffer);for(let bs=0;bs<et.length;bs++){if(Pt.resolveDepthBuffer&&(Pt.depthBuffer&&(Cn|=b.DEPTH_BUFFER_BIT),Pt.stencilBuffer&&Pt.resolveStencilBuffer&&(Cn|=b.STENCIL_BUFFER_BIT)),pi){b.framebufferRenderbuffer(b.READ_FRAMEBUFFER,b.COLOR_ATTACHMENT0,b.RENDERBUFFER,As.__webglColorRenderbuffer[bs]);const Ur=y.get(et[bs]).__webglTexture;b.framebufferTexture2D(b.DRAW_FRAMEBUFFER,b.COLOR_ATTACHMENT0,b.TEXTURE_2D,Ur,0)}b.blitFramebuffer(0,0,On,vr,0,0,On,vr,Cn,b.NEAREST),ne===!0&&(gt.length=0,xr.length=0,gt.push(b.COLOR_ATTACHMENT0+bs),Pt.depthBuffer&&Pt.resolveDepthBuffer===!1&&(gt.push(qn),xr.push(qn),b.invalidateFramebuffer(b.DRAW_FRAMEBUFFER,xr)),b.invalidateFramebuffer(b.READ_FRAMEBUFFER,gt))}if(x.bindFramebuffer(b.READ_FRAMEBUFFER,null),x.bindFramebuffer(b.DRAW_FRAMEBUFFER,null),pi)for(let bs=0;bs<et.length;bs++){x.bindFramebuffer(b.FRAMEBUFFER,As.__webglMultisampledFramebuffer),b.framebufferRenderbuffer(b.FRAMEBUFFER,b.COLOR_ATTACHMENT0+bs,b.RENDERBUFFER,As.__webglColorRenderbuffer[bs]);const Ur=y.get(et[bs]).__webglTexture;x.bindFramebuffer(b.FRAMEBUFFER,As.__webglFramebuffer),b.framebufferTexture2D(b.DRAW_FRAMEBUFFER,b.COLOR_ATTACHMENT0+bs,b.TEXTURE_2D,Ur,0)}x.bindFramebuffer(b.DRAW_FRAMEBUFFER,As.__webglMultisampledFramebuffer)}else if(Pt.depthBuffer&&Pt.resolveDepthBuffer===!1&&ne){const et=Pt.stencilBuffer?b.DEPTH_STENCIL_ATTACHMENT:b.DEPTH_ATTACHMENT;b.invalidateFramebuffer(b.DRAW_FRAMEBUFFER,[et])}}}function _r(Pt){return Math.min(E.maxSamples,Pt.samples)}function Kr(Pt){const et=y.get(Pt);return Pt.samples>0&&a.has("WEBGL_multisampled_render_to_texture")===!0&&et.__useRenderToTexture!==!1}function Xi(Pt){const et=ee.render.frame;ae.get(Pt)!==et&&(ae.set(Pt,et),Pt.update())}function li(Pt,et){const On=Pt.colorSpace,vr=Pt.format,Cn=Pt.type;return Pt.isCompressedTexture===!0||Pt.isVideoTexture===!0||On!==Ut&&On!==Je&&(ba.getTransfer(On)===kt?(vr!==El||Cn!==yl)&&wn("WebGLTextures: sRGB encoded textures have to use RGBAFormat and UnsignedByteType."):cr("WebGLTextures: Unsupported texture color space:",On)),et}function Mi(Pt){return typeof HTMLImageElement!="undefined"&&Pt instanceof HTMLImageElement?(ie.width=Pt.naturalWidth||Pt.width,ie.height=Pt.naturalHeight||Pt.height):typeof VideoFrame!="undefined"&&Pt instanceof VideoFrame?(ie.width=Pt.displayWidth,ie.height=Pt.displayHeight):(ie.width=Pt.width,ie.height=Pt.height),ie}this.allocateTextureUnit=pt,this.resetTextureUnits=$e,this.setTexture2D=Ft,this.setTexture2DArray=an,this.setTexture3D=Zn,this.setTextureCube=Zt,this.rebindTextures=ei,this.setupRenderTarget=Ri,this.updateRenderTargetMipmap=En,this.updateMultisampleRenderTarget=Lr,this.setupDepthRenderbuffer=Er,this.setupFrameBufferTexture=Hn,this.useMultisampledRTT=Kr}function $G(b,a){function x(y,E=Je){let z;const ee=ba.getTransfer(E);if(y===yl)return b.UNSIGNED_BYTE;if(y===wg)return b.UNSIGNED_SHORT_4_4_4_4;if(y===Cg)return b.UNSIGNED_SHORT_5_5_5_1;if(y===ym)return b.UNSIGNED_INT_5_9_9_9_REV;if(y===Pg)return b.UNSIGNED_INT_10F_11F_11F_REV;if(y===Uh)return b.BYTE;if(y===dh)return b.SHORT;if(y===Xd)return b.UNSIGNED_SHORT;if(y===pu)return b.INT;if(y===fl)return b.UNSIGNED_INT;if(y===zl)return b.FLOAT;if(y===bl)return b.HALF_FLOAT;if(y===cv)return b.ALPHA;if(y===bm)return b.RGB;if(y===El)return b.RGBA;if(y===Ed)return b.DEPTH_COMPONENT;if(y===jc)return b.DEPTH_STENCIL;if(y===Lf)return b.RED;if(y===gf)return b.RED_INTEGER;if(y===vf)return b.RG;if(y===Np)return b.RG_INTEGER;if(y===Fp)return b.RGBA_INTEGER;if(y===jh||y===Vh||y===fh||y===Gh)if(ee===kt)if(z=a.get("WEBGL_compressed_texture_s3tc_srgb"),z!==null){if(y===jh)return z.COMPRESSED_SRGB_S3TC_DXT1_EXT;if(y===Vh)return z.COMPRESSED_SRGB_ALPHA_S3TC_DXT1_EXT;if(y===fh)return z.COMPRESSED_SRGB_ALPHA_S3TC_DXT3_EXT;if(y===Gh)return z.COMPRESSED_SRGB_ALPHA_S3TC_DXT5_EXT}else return null;else if(z=a.get("WEBGL_compressed_texture_s3tc"),z!==null){if(y===jh)return z.COMPRESSED_RGB_S3TC_DXT1_EXT;if(y===Vh)return z.COMPRESSED_RGBA_S3TC_DXT1_EXT;if(y===fh)return z.COMPRESSED_RGBA_S3TC_DXT3_EXT;if(y===Gh)return z.COMPRESSED_RGBA_S3TC_DXT5_EXT}else return null;if(y===hh||y===Em||y===Xh||y===wm)if(z=a.get("WEBGL_compressed_texture_pvrtc"),z!==null){if(y===hh)return z.COMPRESSED_RGB_PVRTC_4BPPV1_IMG;if(y===Em)return z.COMPRESSED_RGB_PVRTC_2BPPV1_IMG;if(y===Xh)return z.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG;if(y===wm)return z.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG}else return null;if(y===Cm||y===Pm||y===Af)if(z=a.get("WEBGL_compressed_texture_etc"),z!==null){if(y===Cm||y===Pm)return ee===kt?z.COMPRESSED_SRGB8_ETC2:z.COMPRESSED_RGB8_ETC2;if(y===Af)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ETC2_EAC:z.COMPRESSED_RGBA8_ETC2_EAC}else return null;if(y===ph||y===mh||y===Sm||y===Bm||y===Lp||y===el||y===Rp||y===Wh||y===xf||y===Vc||y===yf||y===Qh||y===Op||y===zp)if(z=a.get("WEBGL_compressed_texture_astc"),z!==null){if(y===ph)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_4x4_KHR:z.COMPRESSED_RGBA_ASTC_4x4_KHR;if(y===mh)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_5x4_KHR:z.COMPRESSED_RGBA_ASTC_5x4_KHR;if(y===Sm)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_5x5_KHR:z.COMPRESSED_RGBA_ASTC_5x5_KHR;if(y===Bm)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_6x5_KHR:z.COMPRESSED_RGBA_ASTC_6x5_KHR;if(y===Lp)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_6x6_KHR:z.COMPRESSED_RGBA_ASTC_6x6_KHR;if(y===el)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_8x5_KHR:z.COMPRESSED_RGBA_ASTC_8x5_KHR;if(y===Rp)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_8x6_KHR:z.COMPRESSED_RGBA_ASTC_8x6_KHR;if(y===Wh)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_8x8_KHR:z.COMPRESSED_RGBA_ASTC_8x8_KHR;if(y===xf)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_10x5_KHR:z.COMPRESSED_RGBA_ASTC_10x5_KHR;if(y===Vc)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_10x6_KHR:z.COMPRESSED_RGBA_ASTC_10x6_KHR;if(y===yf)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_10x8_KHR:z.COMPRESSED_RGBA_ASTC_10x8_KHR;if(y===Qh)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_10x10_KHR:z.COMPRESSED_RGBA_ASTC_10x10_KHR;if(y===Op)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_12x10_KHR:z.COMPRESSED_RGBA_ASTC_12x10_KHR;if(y===zp)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_12x12_KHR:z.COMPRESSED_RGBA_ASTC_12x12_KHR}else return null;if(y===kp||y===C0||y===P0)if(z=a.get("EXT_texture_compression_bptc"),z!==null){if(y===kp)return ee===kt?z.COMPRESSED_SRGB_ALPHA_BPTC_UNORM_EXT:z.COMPRESSED_RGBA_BPTC_UNORM_EXT;if(y===C0)return z.COMPRESSED_RGB_BPTC_SIGNED_FLOAT_EXT;if(y===P0)return z.COMPRESSED_RGB_BPTC_UNSIGNED_FLOAT_EXT}else return null;if(y===Mm||y===gh||y===Rf||y===bo)if(z=a.get("EXT_texture_compression_rgtc"),z!==null){if(y===Mm)return z.COMPRESSED_RED_RGTC1_EXT;if(y===gh)return z.COMPRESSED_SIGNED_RED_RGTC1_EXT;if(y===Rf)return z.COMPRESSED_RED_GREEN_RGTC2_EXT;if(y===bo)return z.COMPRESSED_SIGNED_RED_GREEN_RGTC2_EXT}else return null;return y===id?b.UNSIGNED_INT_24_8:b[y]!==void 0?b[y]:null}return{convert:x}}const eX=`
void main() {

	gl_Position = vec4( position, 1.0 );

}`,tX=`
uniform sampler2DArray depthColor;
uniform float depthWidth;
uniform float depthHeight;

void main() {

	vec2 coord = vec2( gl_FragCoord.x / depthWidth, gl_FragCoord.y / depthHeight );

	if ( coord.x >= 1.0 ) {

		gl_FragDepth = texture( depthColor, vec3( coord.x - 1.0, coord.y, 1 ) ).r;

	} else {

		gl_FragDepth = texture( depthColor, vec3( coord.x, coord.y, 0 ) ).r;

	}

}`;class nX{constructor(){this.texture=null,this.mesh=null,this.depthNear=0,this.depthFar=0}init(a,x){if(this.texture===null){const y=new c8(a.texture);(a.depthNear!==x.depthNear||a.depthFar!==x.depthFar)&&(this.depthNear=a.depthNear,this.depthFar=a.depthFar),this.texture=y}}getMesh(a){if(this.texture!==null&&this.mesh===null){const x=a.cameras[0].viewport,y=new qh({vertexShader:eX,fragmentShader:tX,uniforms:{depthColor:{value:this.texture},depthWidth:{value:x.z},depthHeight:{value:x.w}}});this.mesh=new Il(new YA(20,20),y)}return this.mesh}reset(){this.texture=null,this.mesh=null}getDepthTexture(){return this.texture}}class rX extends Qu{constructor(a,x){super();const y=this;let E=null,z=1,ee=null,te="local-floor",ne=1,ie=null,ae=null,oe=null,le=null,ue=null,he=null;const xe=typeof XRWebGLBinding!="undefined",ve=new nX,me={},Pe=x.getContextAttributes();let we=null,Me=null;const Le=[],De=[],ke=new ar;let ze=null;const He=new gc;He.viewport=new la;const Re=new gc;Re.viewport=new la;const Fe=[He,Re],$e=new q8;let pt=null,st=null;this.cameraAutoUpdate=!0,this.enabled=!1,this.isPresenting=!1,this.getController=function(Xt){let on=Le[Xt];return on===void 0&&(on=new I1,Le[Xt]=on),on.getTargetRaySpace()},this.getControllerGrip=function(Xt){let on=Le[Xt];return on===void 0&&(on=new I1,Le[Xt]=on),on.getGripSpace()},this.getHand=function(Xt){let on=Le[Xt];return on===void 0&&(on=new I1,Le[Xt]=on),on.getHandSpace()};function Ft(Xt){const on=De.indexOf(Xt.inputSource);if(on===-1)return;const Hn=Le[on];Hn!==void 0&&(Hn.update(Xt.inputSource,Xt.frame,ie||ee),Hn.dispatchEvent({type:Xt.type,data:Xt.inputSource}))}function an(){E.removeEventListener("select",Ft),E.removeEventListener("selectstart",Ft),E.removeEventListener("selectend",Ft),E.removeEventListener("squeeze",Ft),E.removeEventListener("squeezestart",Ft),E.removeEventListener("squeezeend",Ft),E.removeEventListener("end",an),E.removeEventListener("inputsourceschange",Zn);for(let Xt=0;Xt<Le.length;Xt++){const on=De[Xt];on!==null&&(De[Xt]=null,Le[Xt].disconnect(on))}pt=null,st=null,ve.reset();for(const Xt in me)delete me[Xt];a.setRenderTarget(we),ue=null,le=null,oe=null,E=null,Me=null,qt.stop(),y.isPresenting=!1,a.setPixelRatio(ze),a.setSize(ke.width,ke.height,!1),y.dispatchEvent({type:"sessionend"})}this.setFramebufferScaleFactor=function(Xt){z=Xt,y.isPresenting===!0&&wn("WebXRManager: Cannot change framebuffer scale while presenting.")},this.setReferenceSpaceType=function(Xt){te=Xt,y.isPresenting===!0&&wn("WebXRManager: Cannot change reference space type while presenting.")},this.getReferenceSpace=function(){return ie||ee},this.setReferenceSpace=function(Xt){ie=Xt},this.getBaseLayer=function(){return le!==null?le:ue},this.getBinding=function(){return oe===null&&xe&&(oe=new XRWebGLBinding(E,x)),oe},this.getFrame=function(){return he},this.getSession=function(){return E},this.setSession=function(Xt){return ca(this,null,function*(){if(E=Xt,E!==null){if(we=a.getRenderTarget(),E.addEventListener("select",Ft),E.addEventListener("selectstart",Ft),E.addEventListener("selectend",Ft),E.addEventListener("squeeze",Ft),E.addEventListener("squeezestart",Ft),E.addEventListener("squeezeend",Ft),E.addEventListener("end",an),E.addEventListener("inputsourceschange",Zn),Pe.xrCompatible!==!0&&(yield x.makeXRCompatible()),ze=a.getPixelRatio(),a.getSize(ke),xe&&"createProjectionLayer"in XRWebGLBinding.prototype){let Hn=null,tr=null,Gn=null;Pe.depth&&(Gn=Pe.stencil?x.DEPTH24_STENCIL8:x.DEPTH_COMPONENT24,Hn=Pe.stencil?jc:Ed,tr=Pe.stencil?id:fl);const Er={colorFormat:x.RGBA8,depthFormat:Gn,scaleFactor:z};oe=this.getBinding(),le=oe.createProjectionLayer(Er),E.updateRenderState({layers:[le]}),a.setPixelRatio(1),a.setSize(le.textureWidth,le.textureHeight,!1),Me=new M0(le.textureWidth,le.textureHeight,{format:El,type:yl,depthTexture:new yh(le.textureWidth,le.textureHeight,tr,void 0,void 0,void 0,void 0,void 0,void 0,Hn),stencilBuffer:Pe.stencil,colorSpace:a.outputColorSpace,samples:Pe.antialias?4:0,resolveDepthBuffer:le.ignoreDepthValues===!1,resolveStencilBuffer:le.ignoreDepthValues===!1})}else{const Hn={antialias:Pe.antialias,alpha:!0,depth:Pe.depth,stencil:Pe.stencil,framebufferScaleFactor:z};ue=new XRWebGLLayer(E,x,Hn),E.updateRenderState({baseLayer:ue}),a.setPixelRatio(1),a.setSize(ue.framebufferWidth,ue.framebufferHeight,!1),Me=new M0(ue.framebufferWidth,ue.framebufferHeight,{format:El,type:yl,colorSpace:a.outputColorSpace,stencilBuffer:Pe.stencil,resolveDepthBuffer:ue.ignoreDepthValues===!1,resolveStencilBuffer:ue.ignoreDepthValues===!1})}Me.isXRRenderTarget=!0,this.setFoveation(ne),ie=null,ee=yield E.requestReferenceSpace(te),qt.setContext(E),qt.start(),y.isPresenting=!0,y.dispatchEvent({type:"sessionstart"})}})},this.getEnvironmentBlendMode=function(){if(E!==null)return E.environmentBlendMode},this.getDepthTexture=function(){return ve.getDepthTexture()};function Zn(Xt){for(let on=0;on<Xt.removed.length;on++){const Hn=Xt.removed[on],tr=De.indexOf(Hn);tr>=0&&(De[tr]=null,Le[tr].disconnect(Hn))}for(let on=0;on<Xt.added.length;on++){const Hn=Xt.added[on];let tr=De.indexOf(Hn);if(tr===-1){for(let Er=0;Er<Le.length;Er++)if(Er>=De.length){De.push(Hn),tr=Er;break}else if(De[Er]===null){De[Er]=Hn,tr=Er;break}if(tr===-1)break}const Gn=Le[tr];Gn&&Gn.connect(Hn)}}const Zt=new ft,nt=new ft;function Vt(Xt,on,Hn){Zt.setFromMatrixPosition(on.matrixWorld),nt.setFromMatrixPosition(Hn.matrixWorld);const tr=Zt.distanceTo(nt),Gn=on.projectionMatrix.elements,Er=Hn.projectionMatrix.elements,ei=Gn[14]/(Gn[10]-1),Ri=Gn[14]/(Gn[10]+1),En=(Gn[9]+1)/Gn[5],gt=(Gn[9]-1)/Gn[5],xr=(Gn[8]-1)/Gn[0],Lr=(Er[8]+1)/Er[0],_r=ei*xr,Kr=ei*Lr,Xi=tr/(-xr+Lr),li=Xi*-xr;if(on.matrixWorld.decompose(Xt.position,Xt.quaternion,Xt.scale),Xt.translateX(li),Xt.translateZ(Xi),Xt.matrixWorld.compose(Xt.position,Xt.quaternion,Xt.scale),Xt.matrixWorldInverse.copy(Xt.matrixWorld).invert(),Gn[10]===-1)Xt.projectionMatrix.copy(on.projectionMatrix),Xt.projectionMatrixInverse.copy(on.projectionMatrixInverse);else{const Mi=ei+Xi,Pt=Ri+Xi,et=_r-li,On=Kr+(tr-li),vr=En*Ri/Pt*Mi,Cn=gt*Ri/Pt*Mi;Xt.projectionMatrix.makePerspective(et,On,vr,Cn,Mi,Pt),Xt.projectionMatrixInverse.copy(Xt.projectionMatrix).invert()}}function vt(Xt,on){on===null?Xt.matrixWorld.copy(Xt.matrix):Xt.matrixWorld.multiplyMatrices(on.matrixWorld,Xt.matrix),Xt.matrixWorldInverse.copy(Xt.matrixWorld).invert()}this.updateCamera=function(Xt){if(E===null)return;let on=Xt.near,Hn=Xt.far;ve.texture!==null&&(ve.depthNear>0&&(on=ve.depthNear),ve.depthFar>0&&(Hn=ve.depthFar)),$e.near=Re.near=He.near=on,$e.far=Re.far=He.far=Hn,(pt!==$e.near||st!==$e.far)&&(E.updateRenderState({depthNear:$e.near,depthFar:$e.far}),pt=$e.near,st=$e.far),$e.layers.mask=Xt.layers.mask|6,He.layers.mask=$e.layers.mask&3,Re.layers.mask=$e.layers.mask&5;const tr=Xt.parent,Gn=$e.cameras;vt($e,tr);for(let Er=0;Er<Gn.length;Er++)vt(Gn[Er],tr);Gn.length===2?Vt($e,He,Re):$e.projectionMatrix.copy(He.projectionMatrix),Yt(Xt,$e,tr)};function Yt(Xt,on,Hn){Hn===null?Xt.matrix.copy(on.matrixWorld):(Xt.matrix.copy(Hn.matrixWorld),Xt.matrix.invert(),Xt.matrix.multiply(on.matrixWorld)),Xt.matrix.decompose(Xt.position,Xt.quaternion,Xt.scale),Xt.updateMatrixWorld(!0),Xt.projectionMatrix.copy(on.projectionMatrix),Xt.projectionMatrixInverse.copy(on.projectionMatrixInverse),Xt.isPerspectiveCamera&&(Xt.fov=gu*2*Math.atan(1/Xt.projectionMatrix.elements[5]),Xt.zoom=1)}this.getCamera=function(){return $e},this.getFoveation=function(){if(!(le===null&&ue===null))return ne},this.setFoveation=function(Xt){ne=Xt,le!==null&&(le.fixedFoveation=Xt),ue!==null&&ue.fixedFoveation!==void 0&&(ue.fixedFoveation=Xt)},this.hasDepthSensing=function(){return ve.texture!==null},this.getDepthSensingMesh=function(){return ve.getMesh($e)},this.getCameraTexture=function(Xt){return me[Xt]};let gn=null;function fr(Xt,on){if(ae=on.getViewerPose(ie||ee),he=on,ae!==null){const Hn=ae.views;ue!==null&&(a.setRenderTargetFramebuffer(Me,ue.framebuffer),a.setRenderTarget(Me));let tr=!1;Hn.length!==$e.cameras.length&&($e.cameras.length=0,tr=!0);for(let Ri=0;Ri<Hn.length;Ri++){const En=Hn[Ri];let gt=null;if(ue!==null)gt=ue.getViewport(En);else{const Lr=oe.getViewSubImage(le,En);gt=Lr.viewport,Ri===0&&(a.setRenderTargetTextures(Me,Lr.colorTexture,Lr.depthStencilTexture),a.setRenderTarget(Me))}let xr=Fe[Ri];xr===void 0&&(xr=new gc,xr.layers.enable(Ri),xr.viewport=new la,Fe[Ri]=xr),xr.matrix.fromArray(En.transform.matrix),xr.matrix.decompose(xr.position,xr.quaternion,xr.scale),xr.projectionMatrix.fromArray(En.projectionMatrix),xr.projectionMatrixInverse.copy(xr.projectionMatrix).invert(),xr.viewport.set(gt.x,gt.y,gt.width,gt.height),Ri===0&&($e.matrix.copy(xr.matrix),$e.matrix.decompose($e.position,$e.quaternion,$e.scale)),tr===!0&&$e.cameras.push(xr)}const Gn=E.enabledFeatures;if(Gn&&Gn.includes("depth-sensing")&&E.depthUsage=="gpu-optimized"&&xe){oe=y.getBinding();const Ri=oe.getDepthInformation(Hn[0]);Ri&&Ri.isValid&&Ri.texture&&ve.init(Ri,E.renderState)}if(Gn&&Gn.includes("camera-access")&&xe){a.state.unbindTexture(),oe=y.getBinding();for(let Ri=0;Ri<Hn.length;Ri++){const En=Hn[Ri].camera;if(En){let gt=me[En];gt||(gt=new c8,me[En]=gt);const xr=oe.getCameraImage(En);gt.sourceTexture=xr}}}}for(let Hn=0;Hn<Le.length;Hn++){const tr=De[Hn],Gn=Le[Hn];tr!==null&&Gn!==void 0&&Gn.update(tr,on,ie||ee)}gn&&gn(Xt,on),on.detectedPlanes&&y.dispatchEvent({type:"planesdetected",data:on}),he=null}const qt=new gT;qt.setAnimationLoop(fr),this.setAnimationLoop=function(Xt){gn=Xt},this.dispose=function(){}}}const zv=new zf,iX=new Fs;function sX(b,a){function x(ve,me){ve.matrixAutoUpdate===!0&&ve.updateMatrix(),me.value.copy(ve.matrix)}function y(ve,me){me.color.getRGB(ve.fogColor.value,OB(b)),me.isFog?(ve.fogNear.value=me.near,ve.fogFar.value=me.far):me.isFogExp2&&(ve.fogDensity.value=me.density)}function E(ve,me,Pe,we,Me){me.isMeshBasicMaterial||me.isMeshLambertMaterial?z(ve,me):me.isMeshToonMaterial?(z(ve,me),oe(ve,me)):me.isMeshPhongMaterial?(z(ve,me),ae(ve,me)):me.isMeshStandardMaterial?(z(ve,me),le(ve,me),me.isMeshPhysicalMaterial&&ue(ve,me,Me)):me.isMeshMatcapMaterial?(z(ve,me),he(ve,me)):me.isMeshDepthMaterial?z(ve,me):me.isMeshDistanceMaterial?(z(ve,me),xe(ve,me)):me.isMeshNormalMaterial?z(ve,me):me.isLineBasicMaterial?(ee(ve,me),me.isLineDashedMaterial&&te(ve,me)):me.isPointsMaterial?ne(ve,me,Pe,we):me.isSpriteMaterial?ie(ve,me):me.isShadowMaterial?(ve.color.value.copy(me.color),ve.opacity.value=me.opacity):me.isShaderMaterial&&(me.uniformsNeedUpdate=!1)}function z(ve,me){ve.opacity.value=me.opacity,me.color&&ve.diffuse.value.copy(me.color),me.emissive&&ve.emissive.value.copy(me.emissive).multiplyScalar(me.emissiveIntensity),me.map&&(ve.map.value=me.map,x(me.map,ve.mapTransform)),me.alphaMap&&(ve.alphaMap.value=me.alphaMap,x(me.alphaMap,ve.alphaMapTransform)),me.bumpMap&&(ve.bumpMap.value=me.bumpMap,x(me.bumpMap,ve.bumpMapTransform),ve.bumpScale.value=me.bumpScale,me.side===co&&(ve.bumpScale.value*=-1)),me.normalMap&&(ve.normalMap.value=me.normalMap,x(me.normalMap,ve.normalMapTransform),ve.normalScale.value.copy(me.normalScale),me.side===co&&ve.normalScale.value.negate()),me.displacementMap&&(ve.displacementMap.value=me.displacementMap,x(me.displacementMap,ve.displacementMapTransform),ve.displacementScale.value=me.displacementScale,ve.displacementBias.value=me.displacementBias),me.emissiveMap&&(ve.emissiveMap.value=me.emissiveMap,x(me.emissiveMap,ve.emissiveMapTransform)),me.specularMap&&(ve.specularMap.value=me.specularMap,x(me.specularMap,ve.specularMapTransform)),me.alphaTest>0&&(ve.alphaTest.value=me.alphaTest);const Pe=a.get(me),we=Pe.envMap,Me=Pe.envMapRotation;we&&(ve.envMap.value=we,zv.copy(Me),zv.x*=-1,zv.y*=-1,zv.z*=-1,we.isCubeTexture&&we.isRenderTargetTexture===!1&&(zv.y*=-1,zv.z*=-1),ve.envMapRotation.value.setFromMatrix4(iX.makeRotationFromEuler(zv)),ve.flipEnvMap.value=we.isCubeTexture&&we.isRenderTargetTexture===!1?-1:1,ve.reflectivity.value=me.reflectivity,ve.ior.value=me.ior,ve.refractionRatio.value=me.refractionRatio),me.lightMap&&(ve.lightMap.value=me.lightMap,ve.lightMapIntensity.value=me.lightMapIntensity,x(me.lightMap,ve.lightMapTransform)),me.aoMap&&(ve.aoMap.value=me.aoMap,ve.aoMapIntensity.value=me.aoMapIntensity,x(me.aoMap,ve.aoMapTransform))}function ee(ve,me){ve.diffuse.value.copy(me.color),ve.opacity.value=me.opacity,me.map&&(ve.map.value=me.map,x(me.map,ve.mapTransform))}function te(ve,me){ve.dashSize.value=me.dashSize,ve.totalSize.value=me.dashSize+me.gapSize,ve.scale.value=me.scale}function ne(ve,me,Pe,we){ve.diffuse.value.copy(me.color),ve.opacity.value=me.opacity,ve.size.value=me.size*Pe,ve.scale.value=we*.5,me.map&&(ve.map.value=me.map,x(me.map,ve.uvTransform)),me.alphaMap&&(ve.alphaMap.value=me.alphaMap,x(me.alphaMap,ve.alphaMapTransform)),me.alphaTest>0&&(ve.alphaTest.value=me.alphaTest)}function ie(ve,me){ve.diffuse.value.copy(me.color),ve.opacity.value=me.opacity,ve.rotation.value=me.rotation,me.map&&(ve.map.value=me.map,x(me.map,ve.mapTransform)),me.alphaMap&&(ve.alphaMap.value=me.alphaMap,x(me.alphaMap,ve.alphaMapTransform)),me.alphaTest>0&&(ve.alphaTest.value=me.alphaTest)}function ae(ve,me){ve.specular.value.copy(me.specular),ve.shininess.value=Math.max(me.shininess,1e-4)}function oe(ve,me){me.gradientMap&&(ve.gradientMap.value=me.gradientMap)}function le(ve,me){ve.metalness.value=me.metalness,me.metalnessMap&&(ve.metalnessMap.value=me.metalnessMap,x(me.metalnessMap,ve.metalnessMapTransform)),ve.roughness.value=me.roughness,me.roughnessMap&&(ve.roughnessMap.value=me.roughnessMap,x(me.roughnessMap,ve.roughnessMapTransform)),me.envMap&&(ve.envMapIntensity.value=me.envMapIntensity)}function ue(ve,me,Pe){ve.ior.value=me.ior,me.sheen>0&&(ve.sheenColor.value.copy(me.sheenColor).multiplyScalar(me.sheen),ve.sheenRoughness.value=me.sheenRoughness,me.sheenColorMap&&(ve.sheenColorMap.value=me.sheenColorMap,x(me.sheenColorMap,ve.sheenColorMapTransform)),me.sheenRoughnessMap&&(ve.sheenRoughnessMap.value=me.sheenRoughnessMap,x(me.sheenRoughnessMap,ve.sheenRoughnessMapTransform))),me.clearcoat>0&&(ve.clearcoat.value=me.clearcoat,ve.clearcoatRoughness.value=me.clearcoatRoughness,me.clearcoatMap&&(ve.clearcoatMap.value=me.clearcoatMap,x(me.clearcoatMap,ve.clearcoatMapTransform)),me.clearcoatRoughnessMap&&(ve.clearcoatRoughnessMap.value=me.clearcoatRoughnessMap,x(me.clearcoatRoughnessMap,ve.clearcoatRoughnessMapTransform)),me.clearcoatNormalMap&&(ve.clearcoatNormalMap.value=me.clearcoatNormalMap,x(me.clearcoatNormalMap,ve.clearcoatNormalMapTransform),ve.clearcoatNormalScale.value.copy(me.clearcoatNormalScale),me.side===co&&ve.clearcoatNormalScale.value.negate())),me.dispersion>0&&(ve.dispersion.value=me.dispersion),me.iridescence>0&&(ve.iridescence.value=me.iridescence,ve.iridescenceIOR.value=me.iridescenceIOR,ve.iridescenceThicknessMinimum.value=me.iridescenceThicknessRange[0],ve.iridescenceThicknessMaximum.value=me.iridescenceThicknessRange[1],me.iridescenceMap&&(ve.iridescenceMap.value=me.iridescenceMap,x(me.iridescenceMap,ve.iridescenceMapTransform)),me.iridescenceThicknessMap&&(ve.iridescenceThicknessMap.value=me.iridescenceThicknessMap,x(me.iridescenceThicknessMap,ve.iridescenceThicknessMapTransform))),me.transmission>0&&(ve.transmission.value=me.transmission,ve.transmissionSamplerMap.value=Pe.texture,ve.transmissionSamplerSize.value.set(Pe.width,Pe.height),me.transmissionMap&&(ve.transmissionMap.value=me.transmissionMap,x(me.transmissionMap,ve.transmissionMapTransform)),ve.thickness.value=me.thickness,me.thicknessMap&&(ve.thicknessMap.value=me.thicknessMap,x(me.thicknessMap,ve.thicknessMapTransform)),ve.attenuationDistance.value=me.attenuationDistance,ve.attenuationColor.value.copy(me.attenuationColor)),me.anisotropy>0&&(ve.anisotropyVector.value.set(me.anisotropy*Math.cos(me.anisotropyRotation),me.anisotropy*Math.sin(me.anisotropyRotation)),me.anisotropyMap&&(ve.anisotropyMap.value=me.anisotropyMap,x(me.anisotropyMap,ve.anisotropyMapTransform))),ve.specularIntensity.value=me.specularIntensity,ve.specularColor.value.copy(me.specularColor),me.specularColorMap&&(ve.specularColorMap.value=me.specularColorMap,x(me.specularColorMap,ve.specularColorMapTransform)),me.specularIntensityMap&&(ve.specularIntensityMap.value=me.specularIntensityMap,x(me.specularIntensityMap,ve.specularIntensityMapTransform))}function he(ve,me){me.matcap&&(ve.matcap.value=me.matcap)}function xe(ve,me){const Pe=a.get(me).light;ve.referencePosition.value.setFromMatrixPosition(Pe.matrixWorld),ve.nearDistance.value=Pe.shadow.camera.near,ve.farDistance.value=Pe.shadow.camera.far}return{refreshFogUniforms:y,refreshMaterialUniforms:E}}function aX(b,a,x,y){let E={},z={},ee=[];const te=b.getParameter(b.MAX_UNIFORM_BUFFER_BINDINGS);function ne(Pe,we){const Me=we.program;y.uniformBlockBinding(Pe,Me)}function ie(Pe,we){let Me=E[Pe.id];Me===void 0&&(he(Pe),Me=ae(Pe),E[Pe.id]=Me,Pe.addEventListener("dispose",ve));const Le=we.program;y.updateUBOMapping(Pe,Le);const De=a.render.frame;z[Pe.id]!==De&&(le(Pe),z[Pe.id]=De)}function ae(Pe){const we=oe();Pe.__bindingPointIndex=we;const Me=b.createBuffer(),Le=Pe.__size,De=Pe.usage;return b.bindBuffer(b.UNIFORM_BUFFER,Me),b.bufferData(b.UNIFORM_BUFFER,Le,De),b.bindBuffer(b.UNIFORM_BUFFER,null),b.bindBufferBase(b.UNIFORM_BUFFER,we,Me),Me}function oe(){for(let Pe=0;Pe<te;Pe++)if(ee.indexOf(Pe)===-1)return ee.push(Pe),Pe;return cr("WebGLRenderer: Maximum number of simultaneously usable uniforms groups reached."),0}function le(Pe){const we=E[Pe.id],Me=Pe.uniforms,Le=Pe.__cache;b.bindBuffer(b.UNIFORM_BUFFER,we);for(let De=0,ke=Me.length;De<ke;De++){const ze=Array.isArray(Me[De])?Me[De]:[Me[De]];for(let He=0,Re=ze.length;He<Re;He++){const Fe=ze[He];if(ue(Fe,De,He,Le)===!0){const $e=Fe.__offset,pt=Array.isArray(Fe.value)?Fe.value:[Fe.value];let st=0;for(let Ft=0;Ft<pt.length;Ft++){const an=pt[Ft],Zn=xe(an);typeof an=="number"||typeof 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bV(gt,_r,Mi),bs=new uV(li),qn=new zG(De,Pt,et,Lr,_r,mn,bs),As=new sX(De,li),pi=new UG,Us=new QG(Lr),Ci=new sV(De,Pt,et,Kr,Cn,ue,ne),Ur=new JG(De,Cn,_r),Zi=new aX(gt,Xi,_r,Kr),fa=new oV(gt,Lr,Xi),di=new xV(gt,Lr,Xi),Xi.programs=qn.programs,De.capabilities=_r,De.extensions=Lr,De.properties=li,De.renderLists=pi,De.shadowMap=Ur,De.state=Kr,De.info=Xi}mi();const Zr=new rX(De,gt);this.xr=Zr,this.getContext=function(){return gt},this.getContextAttributes=function(){return gt.getContextAttributes()},this.forceContextLoss=function(){const ht=Lr.get("WEBGL_lose_context");ht&&ht.loseContext()},this.forceContextRestore=function(){const ht=Lr.get("WEBGL_lose_context");ht&&ht.restoreContext()},this.getPixelRatio=function(){return Vt},this.setPixelRatio=function(ht){ht!==void 0&&(Vt=ht,this.setSize(Zt,nt,!1))},this.getSize=function(ht){return ht.set(Zt,nt)},this.setSize=function(ht,Ln,pr=!0){if(Zr.isPresenting){wn("WebGLRenderer: Can't change size while VR device is presenting.");return}Zt=ht,nt=Ln,x.width=Math.floor(ht*Vt),x.height=Math.floor(Ln*Vt),pr===!0&&(x.style.width=ht+"px",x.style.height=Ln+"px"),this.setViewport(0,0,ht,Ln)},this.getDrawingBufferSize=function(ht){return ht.set(Zt*Vt,nt*Vt).floor()},this.setDrawingBufferSize=function(ht,Ln,pr){Zt=ht,nt=Ln,Vt=pr,x.width=Math.floor(ht*pr),x.height=Math.floor(Ln*pr),this.setViewport(0,0,ht,Ln)},this.getCurrentViewport=function(ht){return ht.copy(pt)},this.getViewport=function(ht){return ht.copy(gn)},this.setViewport=function(ht,Ln,pr,mr){ht.isVector4?gn.set(ht.x,ht.y,ht.z,ht.w):gn.set(ht,Ln,pr,mr),Kr.viewport(pt.copy(gn).multiplyScalar(Vt).round())},this.getScissor=function(ht){return ht.copy(fr)},this.setScissor=function(ht,Ln,pr,mr){ht.isVector4?fr.set(ht.x,ht.y,ht.z,ht.w):fr.set(ht,Ln,pr,mr),Kr.scissor(st.copy(fr).multiplyScalar(Vt).round())},this.getScissorTest=function(){return qt},this.setScissorTest=function(ht){Kr.setScissorTest(qt=ht)},this.setOpaqueSort=function(ht){vt=ht},this.setTransparentSort=function(ht){Yt=ht},this.getClearColor=function(ht){return ht.copy(Ci.getClearColor())},this.setClearColor=function(){Ci.setClearColor(...arguments)},this.getClearAlpha=function(){return Ci.getClearAlpha()},this.setClearAlpha=function(){Ci.setClearAlpha(...arguments)},this.clear=function(ht=!0,Ln=!0,pr=!0){let mr=0;if(ht){let Nn=!1;if(Re!==null){const ki=Re.texture.format;Nn=he.has(ki)}if(Nn){const ki=Re.texture.type,ys=xe.has(ki),Js=Ci.getClearColor(),Os=Ci.getClearAlpha(),La=Js.r,ja=Js.g,ga=Js.b;ys?(ve[0]=La,ve[1]=ja,ve[2]=ga,ve[3]=Os,gt.clearBufferuiv(gt.COLOR,0,ve)):(me[0]=La,me[1]=ja,me[2]=ga,me[3]=Os,gt.clearBufferiv(gt.COLOR,0,me))}else mr|=gt.COLOR_BUFFER_BIT}Ln&&(mr|=gt.DEPTH_BUFFER_BIT),pr&&(mr|=gt.STENCIL_BUFFER_BIT,this.state.buffers.stencil.setMask(4294967295)),gt.clear(mr)},this.clearColor=function(){this.clear(!0,!1,!1)},this.clearDepth=function(){this.clear(!1,!0,!1)},this.clearStencil=function(){this.clear(!1,!1,!0)},this.dispose=function(){x.removeEventListener("webglcontextlost",oi,!1),x.removeEventListener("webglcontextrestored",Gr,!1),x.removeEventListener("webglcontextcreationerror",Rs,!1),Ci.dispose(),pi.dispose(),Us.dispose(),li.dispose(),Pt.dispose(),et.dispose(),Cn.dispose(),mn.dispose(),Zi.dispose(),qn.dispose(),Zr.dispose(),Zr.removeEventListener("sessionstart",pA),Zr.removeEventListener("sessionend",af),ng.stop()};function oi(ht){ht.preventDefault(),Ul("WebGLRenderer: Context Lost."),ke=!0}function Gr(){Ul("WebGLRenderer: Context Restored."),ke=!1;const ht=Xi.autoReset,Ln=Ur.enabled,pr=Ur.autoUpdate,mr=Ur.needsUpdate,Nn=Ur.type;mi(),Xi.autoReset=ht,Ur.enabled=Ln,Ur.autoUpdate=pr,Ur.needsUpdate=mr,Ur.type=Nn}function Rs(ht){cr("WebGLRenderer: A WebGL context could not be created. Reason: ",ht.statusMessage)}function Xa(ht){const Ln=ht.target;Ln.removeEventListener("dispose",Xa),Ll(Ln)}function Ll(ht){tl(ht),li.remove(ht)}function tl(ht){const Ln=li.get(ht).programs;Ln!==void 0&&(Ln.forEach(function(pr){qn.releaseProgram(pr)}),ht.isShaderMaterial&&qn.releaseShaderCache(ht))}this.renderBufferDirect=function(ht,Ln,pr,mr,Nn,ki){Ln===null&&(Ln=ei);const ys=Nn.isMesh&&Nn.matrixWorld.determinant()<0,Js=mA(ht,Ln,pr,mr,Nn);Kr.setMaterial(mr,ys);let Os=pr.index,La=1;if(mr.wireframe===!0){if(Os=vr.getWireframeAttribute(pr),Os===void 0)return;La=2}const ja=pr.drawRange,ga=pr.attributes.position;let br=ja.start*La,so=(ja.start+ja.count)*La;ki!==null&&(br=Math.max(br,ki.start*La),so=Math.min(so,(ki.start+ki.count)*La)),Os!==null?(br=Math.max(br,0),so=Math.min(so,Os.count)):ga!=null&&(br=Math.max(br,0),so=Math.min(so,ga.count));const Bo=so-br;if(Bo<0||Bo===1/0)return;mn.setup(Nn,mr,Js,pr,Os);let Mo,Go=fa;if(Os!==null&&(Mo=On.get(Os),Go=di,Go.setIndex(Mo)),Nn.isMesh)mr.wireframe===!0?(Kr.setLineWidth(mr.wireframeLinewidth*En()),Go.setMode(gt.LINES)):Go.setMode(gt.TRIANGLES);else if(Nn.isLine){let ha=mr.linewidth;ha===void 0&&(ha=1),Kr.setLineWidth(ha*En()),Nn.isLineSegments?Go.setMode(gt.LINES):Nn.isLineLoop?Go.setMode(gt.LINE_LOOP):Go.setMode(gt.LINE_STRIP)}else Nn.isPoints?Go.setMode(gt.POINTS):Nn.isSprite&&Go.setMode(gt.TRIANGLES);if(Nn.isBatchedMesh)if(Nn._multiDrawInstances!==null)no("WebGLRenderer: renderMultiDrawInstances has been deprecated and will be removed in r184. Append to renderMultiDraw arguments and use indirection."),Go.renderMultiDrawInstances(Nn._multiDrawStarts,Nn._multiDrawCounts,Nn._multiDrawCount,Nn._multiDrawInstances);else if(Lr.get("WEBGL_multi_draw"))Go.renderMultiDraw(Nn._multiDrawStarts,Nn._multiDrawCounts,Nn._multiDrawCount);else{const ha=Nn._multiDrawStarts,qo=Nn._multiDrawCounts,zo=Nn._multiDrawCount,dd=Os?On.get(Os).bytesPerElement:1,om=li.get(mr).currentProgram.getUniforms();for(let fd=0;fd<zo;fd++)om.setValue(gt,"_gl_DrawID",fd),Go.render(ha[fd]/dd,qo[fd])}else if(Nn.isInstancedMesh)Go.renderInstances(br,Bo,Nn.count);else if(pr.isInstancedBufferGeometry){const ha=pr._maxInstanceCount!==void 0?pr._maxInstanceCount:1/0,qo=Math.min(pr.instanceCount,ha);Go.renderInstances(br,Bo,qo)}else Go.render(br,Bo)};function rf(ht,Ln,pr){ht.transparent===!0&&ht.side===Ko&&ht.forceSinglePass===!1?(ht.side=co,ht.needsUpdate=!0,Bs(ht,Ln,pr),ht.side=Ol,ht.needsUpdate=!0,Bs(ht,Ln,pr),ht.side=Ko):Bs(ht,Ln,pr)}this.compile=function(ht,Ln,pr=null){pr===null&&(pr=ht),we=Us.get(pr),we.init(Ln),Le.push(we),pr.traverseVisible(function(Nn){Nn.isLight&&Nn.layers.test(Ln.layers)&&(we.pushLight(Nn),Nn.castShadow&&we.pushShadow(Nn))}),ht!==pr&&ht.traverseVisible(function(Nn){Nn.isLight&&Nn.layers.test(Ln.layers)&&(we.pushLight(Nn),Nn.castShadow&&we.pushShadow(Nn))}),we.setupLights();const mr=new Set;return ht.traverse(function(Nn){if(!(Nn.isMesh||Nn.isPoints||Nn.isLine||Nn.isSprite))return;const ki=Nn.material;if(ki)if(Array.isArray(ki))for(let ys=0;ys<ki.length;ys++){const Js=ki[ys];rf(Js,pr,Nn),mr.add(Js)}else rf(ki,pr,Nn),mr.add(ki)}),we=Le.pop(),mr},this.compileAsync=function(ht,Ln,pr=null){const mr=this.compile(ht,Ln,pr);return new Promise(Nn=>{function ki(){if(mr.forEach(function(ys){li.get(ys).currentProgram.isReady()&&mr.delete(ys)}),mr.size===0){Nn(ht);return}setTimeout(ki,10)}Lr.get("KHR_parallel_shader_compile")!==null?ki():setTimeout(ki,10)})};let sf=null;function Wx(ht){sf&&sf(ht)}function pA(){ng.stop()}function af(){ng.start()}const ng=new gT;ng.setAnimationLoop(Wx),typeof self!="undefined"&&ng.setContext(self),this.setAnimationLoop=function(ht){sf=ht,Zr.setAnimationLoop(ht),ht===null?ng.stop():ng.start()},Zr.addEventListener("sessionstart",pA),Zr.addEventListener("sessionend",af),this.render=function(ht,Ln){if(Ln!==void 0&&Ln.isCamera!==!0){cr("WebGLRenderer.render: camera is not an instance of THREE.Camera.");return}if(ke===!0)return;if(ht.matrixWorldAutoUpdate===!0&&ht.updateMatrixWorld(),Ln.parent===null&&Ln.matrixWorldAutoUpdate===!0&&Ln.updateMatrixWorld(),Zr.enabled===!0&&Zr.isPresenting===!0&&(Zr.cameraAutoUpdate===!0&&Zr.updateCamera(Ln),Ln=Zr.getCamera()),ht.isScene===!0&&ht.onBeforeRender(De,ht,Ln,Re),we=Us.get(ht,Le.length),we.init(Ln),Le.push(we),tr.multiplyMatrices(Ln.projectionMatrix,Ln.matrixWorldInverse),Xt.setFromProjectionMatrix(tr,It,Ln.reversedDepth),Hn=this.localClippingEnabled,on=bs.init(this.clippingPlanes,Hn),Pe=pi.get(ht,Me.length),Pe.init(),Me.push(Pe),Zr.enabled===!0&&Zr.isPresenting===!0){const ki=De.xr.getDepthSensingMesh();ki!==null&&Qx(ki,Ln,-1/0,De.sortObjects)}Qx(ht,Ln,0,De.sortObjects),Pe.finish(),De.sortObjects===!0&&Pe.sort(vt,Yt),Ri=Zr.enabled===!1||Zr.isPresenting===!1||Zr.hasDepthSensing()===!1,Ri&&Ci.addToRenderList(Pe,ht),this.info.render.frame++,on===!0&&bs.beginShadows();const pr=we.state.shadowsArray;Ur.render(pr,ht,Ln),on===!0&&bs.endShadows(),this.info.autoReset===!0&&this.info.reset();const mr=Pe.opaque,Nn=Pe.transmissive;if(we.setupLights(),Ln.isArrayCamera){const ki=Ln.cameras;if(Nn.length>0)for(let ys=0,Js=ki.length;ys<Js;ys++){const Os=ki[ys];js(mr,Nn,ht,Os)}Ri&&Ci.render(ht);for(let ys=0,Js=ki.length;ys<Js;ys++){const Os=ki[ys];qr(Pe,ht,Os,Os.viewport)}}else Nn.length>0&&js(mr,Nn,ht,Ln),Ri&&Ci.render(ht),qr(Pe,ht,Ln);Re!==null&&He===0&&(Mi.updateMultisampleRenderTarget(Re),Mi.updateRenderTargetMipmap(Re)),ht.isScene===!0&&ht.onAfterRender(De,ht,Ln),mn.resetDefaultState(),Fe=-1,$e=null,Le.pop(),Le.length>0?(we=Le[Le.length-1],on===!0&&bs.setGlobalState(De.clippingPlanes,we.state.camera)):we=null,Me.pop(),Me.length>0?Pe=Me[Me.length-1]:Pe=null};function Qx(ht,Ln,pr,mr){if(ht.visible===!1)return;if(ht.layers.test(Ln.layers)){if(ht.isGroup)pr=ht.renderOrder;else if(ht.isLOD)ht.autoUpdate===!0&&ht.update(Ln);else if(ht.isLight)we.pushLight(ht),ht.castShadow&&we.pushShadow(ht);else if(ht.isSprite){if(!ht.frustumCulled||Xt.intersectsSprite(ht)){mr&&Er.setFromMatrixPosition(ht.matrixWorld).applyMatrix4(tr);const ys=Cn.update(ht),Js=ht.material;Js.visible&&Pe.push(ht,ys,Js,pr,Er.z,null)}}else if((ht.isMesh||ht.isLine||ht.isPoints)&&(!ht.frustumCulled||Xt.intersectsObject(ht))){const ys=Cn.update(ht),Js=ht.material;if(mr&&(ht.boundingSphere!==void 0?(ht.boundingSphere===null&&ht.computeBoundingSphere(),Er.copy(ht.boundingSphere.center)):(ys.boundingSphere===null&&ys.computeBoundingSphere(),Er.copy(ys.boundingSphere.center)),Er.applyMatrix4(ht.matrixWorld).applyMatrix4(tr)),Array.isArray(Js)){const Os=ys.groups;for(let La=0,ja=Os.length;La<ja;La++){const ga=Os[La],br=Js[ga.materialIndex];br&&br.visible&&Pe.push(ht,ys,br,pr,Er.z,ga)}}else Js.visible&&Pe.push(ht,ys,Js,pr,Er.z,null)}}const ki=ht.children;for(let ys=0,Js=ki.length;ys<Js;ys++)Qx(ki[ys],Ln,pr,mr)}function qr(ht,Ln,pr,mr){const{opaque:Nn,transmissive:ki,transparent:ys}=ht;we.setupLightsView(pr),on===!0&&bs.setGlobalState(De.clippingPlanes,pr),mr&&Kr.viewport(pt.copy(mr)),Nn.length>0&&Ba(Nn,Ln,pr),ki.length>0&&Ba(ki,Ln,pr),ys.length>0&&Ba(ys,Ln,pr),Kr.buffers.depth.setTest(!0),Kr.buffers.depth.setMask(!0),Kr.buffers.color.setMask(!0),Kr.setPolygonOffset(!1)}function js(ht,Ln,pr,mr){if((pr.isScene===!0?pr.overrideMaterial:null)!==null)return;we.state.transmissionRenderTarget[mr.id]===void 0&&(we.state.transmissionRenderTarget[mr.id]=new M0(1,1,{generateMipmaps:!0,type:Lr.has("EXT_color_buffer_half_float")||Lr.has("EXT_color_buffer_float")?bl:yl,minFilter:Wu,samples:4,stencilBuffer:z,resolveDepthBuffer:!1,resolveStencilBuffer:!1,colorSpace:ba.workingColorSpace}));const ki=we.state.transmissionRenderTarget[mr.id],ys=mr.viewport||pt;ki.setSize(ys.z*De.transmissionResolutionScale,ys.w*De.transmissionResolutionScale);const Js=De.getRenderTarget(),Os=De.getActiveCubeFace(),La=De.getActiveMipmapLevel();De.setRenderTarget(ki),De.getClearColor(an),Zn=De.getClearAlpha(),Zn<1&&De.setClearColor(16777215,.5),De.clear(),Ri&&Ci.render(pr);const ja=De.toneMapping;De.toneMapping=ks;const ga=mr.viewport;if(mr.viewport!==void 0&&(mr.viewport=void 0),we.setupLightsView(mr),on===!0&&bs.setGlobalState(De.clippingPlanes,mr),Ba(ht,pr,mr),Mi.updateMultisampleRenderTarget(ki),Mi.updateRenderTargetMipmap(ki),Lr.has("WEBGL_multisampled_render_to_texture")===!1){let br=!1;for(let so=0,Bo=Ln.length;so<Bo;so++){const Mo=Ln[so],{object:Go,geometry:ha,material:qo,group:zo}=Mo;if(qo.side===Ko&&Go.layers.test(mr.layers)){const dd=qo.side;qo.side=co,qo.needsUpdate=!0,Ma(Go,pr,mr,ha,qo,zo),qo.side=dd,qo.needsUpdate=!0,br=!0}}br===!0&&(Mi.updateMultisampleRenderTarget(ki),Mi.updateRenderTargetMipmap(ki))}De.setRenderTarget(Js,Os,La),De.setClearColor(an,Zn),ga!==void 0&&(mr.viewport=ga),De.toneMapping=ja}function Ba(ht,Ln,pr){const mr=Ln.isScene===!0?Ln.overrideMaterial:null;for(let Nn=0,ki=ht.length;Nn<ki;Nn++){const ys=ht[Nn],{object:Js,geometry:Os,group:La}=ys;let ja=ys.material;ja.allowOverride===!0&&mr!==null&&(ja=mr),Js.layers.test(pr.layers)&&Ma(Js,Ln,pr,Os,ja,La)}}function Ma(ht,Ln,pr,mr,Nn,ki){ht.onBeforeRender(De,Ln,pr,mr,Nn,ki),ht.modelViewMatrix.multiplyMatrices(pr.matrixWorldInverse,ht.matrixWorld),ht.normalMatrix.getNormalMatrix(ht.modelViewMatrix),Nn.onBeforeRender(De,Ln,pr,mr,ht,ki),Nn.transparent===!0&&Nn.side===Ko&&Nn.forceSinglePass===!1?(Nn.side=co,Nn.needsUpdate=!0,De.renderBufferDirect(pr,Ln,mr,Nn,ht,ki),Nn.side=Ol,Nn.needsUpdate=!0,De.renderBufferDirect(pr,Ln,mr,Nn,ht,ki),Nn.side=Ko):De.renderBufferDirect(pr,Ln,mr,Nn,ht,ki),ht.onAfterRender(De,Ln,pr,mr,Nn,ki)}function Bs(ht,Ln,pr){Ln.isScene!==!0&&(Ln=ei);const mr=li.get(ht),Nn=we.state.lights,ki=we.state.shadowsArray,ys=Nn.state.version,Js=qn.getParameters(ht,Nn.state,ki,Ln,pr),Os=qn.getProgramCacheKey(Js);let La=mr.programs;mr.environment=ht.isMeshStandardMaterial?Ln.environment:null,mr.fog=Ln.fog,mr.envMap=(ht.isMeshStandardMaterial?et:Pt).get(ht.envMap||mr.environment),mr.envMapRotation=mr.environment!==null&&ht.envMap===null?Ln.environmentRotation:ht.envMapRotation,La===void 0&&(ht.addEventListener("dispose",Xa),La=new Map,mr.programs=La);let ja=La.get(Os);if(ja!==void 0){if(mr.currentProgram===ja&&mr.lightsStateVersion===ys)return rg(ht,Js),ja}else Js.uniforms=qn.getUniforms(ht),ht.onBeforeCompile(Js,De),ja=qn.acquireProgram(Js,Os),La.set(Os,ja),mr.uniforms=Js.uniforms;const ga=mr.uniforms;return(!ht.isShaderMaterial&&!ht.isRawShaderMaterial||ht.clipping===!0)&&(ga.clippingPlanes=bs.uniform),rg(ht,Js),mr.needsLights=FC(ht),mr.lightsStateVersion=ys,mr.needsLights&&(ga.ambientLightColor.value=Nn.state.ambient,ga.lightProbe.value=Nn.state.probe,ga.directionalLights.value=Nn.state.directional,ga.directionalLightShadows.value=Nn.state.directionalShadow,ga.spotLights.value=Nn.state.spot,ga.spotLightShadows.value=Nn.state.spotShadow,ga.rectAreaLights.value=Nn.state.rectArea,ga.ltc_1.value=Nn.state.rectAreaLTC1,ga.ltc_2.value=Nn.state.rectAreaLTC2,ga.pointLights.value=Nn.state.point,ga.pointLightShadows.value=Nn.state.pointShadow,ga.hemisphereLights.value=Nn.state.hemi,ga.directionalShadowMap.value=Nn.state.directionalShadowMap,ga.directionalShadowMatrix.value=Nn.state.directionalShadowMatrix,ga.spotShadowMap.value=Nn.state.spotShadowMap,ga.spotLightMatrix.value=Nn.state.spotLightMatrix,ga.spotLightMap.value=Nn.state.spotLightMap,ga.pointShadowMap.value=Nn.state.pointShadowMap,ga.pointShadowMatrix.value=Nn.state.pointShadowMatrix),mr.currentProgram=ja,mr.uniformsList=null,ja}function am(ht){if(ht.uniformsList===null){const Ln=ht.currentProgram.getUniforms();ht.uniformsList=RE.seqWithValue(Ln.seq,ht.uniforms)}return ht.uniformsList}function rg(ht,Ln){const pr=li.get(ht);pr.outputColorSpace=Ln.outputColorSpace,pr.batching=Ln.batching,pr.batchingColor=Ln.batchingColor,pr.instancing=Ln.instancing,pr.instancingColor=Ln.instancingColor,pr.instancingMorph=Ln.instancingMorph,pr.skinning=Ln.skinning,pr.morphTargets=Ln.morphTargets,pr.morphNormals=Ln.morphNormals,pr.morphColors=Ln.morphColors,pr.morphTargetsCount=Ln.morphTargetsCount,pr.numClippingPlanes=Ln.numClippingPlanes,pr.numIntersection=Ln.numClipIntersection,pr.vertexAlphas=Ln.vertexAlphas,pr.vertexTangents=Ln.vertexTangents,pr.toneMapping=Ln.toneMapping}function mA(ht,Ln,pr,mr,Nn){Ln.isScene!==!0&&(Ln=ei),Mi.resetTextureUnits();const ki=Ln.fog,ys=mr.isMeshStandardMaterial?Ln.environment:null,Js=Re===null?De.outputColorSpace:Re.isXRRenderTarget===!0?Re.texture.colorSpace:Ut,Os=(mr.isMeshStandardMaterial?et:Pt).get(mr.envMap||ys),La=mr.vertexColors===!0&&!!pr.attributes.color&&pr.attributes.color.itemSize===4,ja=!!pr.attributes.tangent&&(!!mr.normalMap||mr.anisotropy>0),ga=!!pr.morphAttributes.position,br=!!pr.morphAttributes.normal,so=!!pr.morphAttributes.color;let Bo=ks;mr.toneMapped&&(Re===null||Re.isXRRenderTarget===!0)&&(Bo=De.toneMapping);const Mo=pr.morphAttributes.position||pr.morphAttributes.normal||pr.morphAttributes.color,Go=Mo!==void 0?Mo.length:0,ha=li.get(mr),qo=we.state.lights;if(on===!0&&(Hn===!0||ht!==$e)){const hd=ht===$e&&mr.id===Fe;bs.setState(mr,ht,hd)}let zo=!1;mr.version===ha.__version?(ha.needsLights&&ha.lightsStateVersion!==qo.state.version||ha.outputColorSpace!==Js||Nn.isBatchedMesh&&ha.batching===!1||!Nn.isBatchedMesh&&ha.batching===!0||Nn.isBatchedMesh&&ha.batchingColor===!0&&Nn.colorTexture===null||Nn.isBatchedMesh&&ha.batchingColor===!1&&Nn.colorTexture!==null||Nn.isInstancedMesh&&ha.instancing===!1||!Nn.isInstancedMesh&&ha.instancing===!0||Nn.isSkinnedMesh&&ha.skinning===!1||!Nn.isSkinnedMesh&&ha.skinning===!0||Nn.isInstancedMesh&&ha.instancingColor===!0&&Nn.instanceColor===null||Nn.isInstancedMesh&&ha.instancingColor===!1&&Nn.instanceColor!==null||Nn.isInstancedMesh&&ha.instancingMorph===!0&&Nn.morphTexture===null||Nn.isInstancedMesh&&ha.instancingMorph===!1&&Nn.morphTexture!==null||ha.envMap!==Os||mr.fog===!0&&ha.fog!==ki||ha.numClippingPlanes!==void 0&&(ha.numClippingPlanes!==bs.numPlanes||ha.numIntersection!==bs.numIntersection)||ha.vertexAlphas!==La||ha.vertexTangents!==ja||ha.morphTargets!==ga||ha.morphNormals!==br||ha.morphColors!==so||ha.toneMapping!==Bo||ha.morphTargetsCount!==Go)&&(zo=!0):(zo=!0,ha.__version=mr.version);let dd=ha.currentProgram;zo===!0&&(dd=Bs(mr,Ln,Nn));let om=!1,fd=!1,nv=!1;const fu=dd.getUniforms(),Dd=ha.uniforms;if(Kr.useProgram(dd.program)&&(om=!0,fd=!0,nv=!0),mr.id!==Fe&&(Fe=mr.id,fd=!0),om||$e!==ht){Kr.buffers.depth.getReversed()&&ht.reversedDepth!==!0&&(ht._reversedDepth=!0,ht.updateProjectionMatrix()),fu.setValue(gt,"projectionMatrix",ht.projectionMatrix),fu.setValue(gt,"viewMatrix",ht.matrixWorldInverse);const Id=fu.map.cameraPosition;Id!==void 0&&Id.setValue(gt,Gn.setFromMatrixPosition(ht.matrixWorld)),_r.logarithmicDepthBuffer&&fu.setValue(gt,"logDepthBufFC",2/(Math.log(ht.far+1)/Math.LN2)),(mr.isMeshPhongMaterial||mr.isMeshToonMaterial||mr.isMeshLambertMaterial||mr.isMeshBasicMaterial||mr.isMeshStandardMaterial||mr.isShaderMaterial)&&fu.setValue(gt,"isOrthographic",ht.isOrthographicCamera===!0),$e!==ht&&($e=ht,fd=!0,nv=!0)}if(Nn.isSkinnedMesh){fu.setOptional(gt,Nn,"bindMatrix"),fu.setOptional(gt,Nn,"bindMatrixInverse");const hd=Nn.skeleton;hd&&(hd.boneTexture===null&&hd.computeBoneTexture(),fu.setValue(gt,"boneTexture",hd.boneTexture,Mi))}Nn.isBatchedMesh&&(fu.setOptional(gt,Nn,"batchingTexture"),fu.setValue(gt,"batchingTexture",Nn._matricesTexture,Mi),fu.setOptional(gt,Nn,"batchingIdTexture"),fu.setValue(gt,"batchingIdTexture",Nn._indirectTexture,Mi),fu.setOptional(gt,Nn,"batchingColorTexture"),Nn._colorsTexture!==null&&fu.setValue(gt,"batchingColorTexture",Nn._colorsTexture,Mi));const Pf=pr.morphAttributes;if((Pf.position!==void 0||Pf.normal!==void 0||Pf.color!==void 0)&&_s.update(Nn,pr,dd),(fd||ha.receiveShadow!==Nn.receiveShadow)&&(ha.receiveShadow=Nn.receiveShadow,fu.setValue(gt,"receiveShadow",Nn.receiveShadow)),mr.isMeshGouraudMaterial&&mr.envMap!==null&&(Dd.envMap.value=Os,Dd.flipEnvMap.value=Os.isCubeTexture&&Os.isRenderTargetTexture===!1?-1:1),mr.isMeshStandardMaterial&&mr.envMap===null&&Ln.environment!==null&&(Dd.envMapIntensity.value=Ln.environmentIntensity),Dd.dfgLUT!==void 0&&(Dd.dfgLUT.value=lX()),fd&&(fu.setValue(gt,"toneMappingExposure",De.toneMappingExposure),ha.needsLights&&NC(Dd,nv),ki&&mr.fog===!0&&As.refreshFogUniforms(Dd,ki),As.refreshMaterialUniforms(Dd,mr,Vt,nt,we.state.transmissionRenderTarget[ht.id]),RE.upload(gt,am(ha),Dd,Mi)),mr.isShaderMaterial&&mr.uniformsNeedUpdate===!0&&(RE.upload(gt,am(ha),Dd,Mi),mr.uniformsNeedUpdate=!1),mr.isSpriteMaterial&&fu.setValue(gt,"center",Nn.center),fu.setValue(gt,"modelViewMatrix",Nn.modelViewMatrix),fu.setValue(gt,"normalMatrix",Nn.normalMatrix),fu.setValue(gt,"modelMatrix",Nn.matrixWorld),mr.isShaderMaterial||mr.isRawShaderMaterial){const hd=mr.uniformsGroups;for(let Id=0,Zx=hd.length;Id<Zx;Id++){const ig=hd[Id];Zi.update(ig,dd),Zi.bind(ig,dd)}}return dd}function NC(ht,Ln){ht.ambientLightColor.needsUpdate=Ln,ht.lightProbe.needsUpdate=Ln,ht.directionalLights.needsUpdate=Ln,ht.directionalLightShadows.needsUpdate=Ln,ht.pointLights.needsUpdate=Ln,ht.pointLightShadows.needsUpdate=Ln,ht.spotLights.needsUpdate=Ln,ht.spotLightShadows.needsUpdate=Ln,ht.rectAreaLights.needsUpdate=Ln,ht.hemisphereLights.needsUpdate=Ln}function FC(ht){return ht.isMeshLambertMaterial||ht.isMeshToonMaterial||ht.isMeshPhongMaterial||ht.isMeshStandardMaterial||ht.isShadowMaterial||ht.isShaderMaterial&&ht.lights===!0}this.getActiveCubeFace=function(){return ze},this.getActiveMipmapLevel=function(){return He},this.getRenderTarget=function(){return Re},this.setRenderTargetTextures=function(ht,Ln,pr){const mr=li.get(ht);mr.__autoAllocateDepthBuffer=ht.resolveDepthBuffer===!1,mr.__autoAllocateDepthBuffer===!1&&(mr.__useRenderToTexture=!1),li.get(ht.texture).__webglTexture=Ln,li.get(ht.depthTexture).__webglTexture=mr.__autoAllocateDepthBuffer?void 0:pr,mr.__hasExternalTextures=!0},this.setRenderTargetFramebuffer=function(ht,Ln){const pr=li.get(ht);pr.__webglFramebuffer=Ln,pr.__useDefaultFramebuffer=Ln===void 0};const LC=gt.createFramebuffer();this.setRenderTarget=function(ht,Ln=0,pr=0){Re=ht,ze=Ln,He=pr;let mr=!0,Nn=null,ki=!1,ys=!1;if(ht){const Os=li.get(ht);if(Os.__useDefaultFramebuffer!==void 0)Kr.bindFramebuffer(gt.FRAMEBUFFER,null),mr=!1;else if(Os.__webglFramebuffer===void 0)Mi.setupRenderTarget(ht);else if(Os.__hasExternalTextures)Mi.rebindTextures(ht,li.get(ht.texture).__webglTexture,li.get(ht.depthTexture).__webglTexture);else if(ht.depthBuffer){const ga=ht.depthTexture;if(Os.__boundDepthTexture!==ga){if(ga!==null&&li.has(ga)&&(ht.width!==ga.image.width||ht.height!==ga.image.height))throw new Error("WebGLRenderTarget: Attached DepthTexture is initialized to the incorrect size.");Mi.setupDepthRenderbuffer(ht)}}const La=ht.texture;(La.isData3DTexture||La.isDataArrayTexture||La.isCompressedArrayTexture)&&(ys=!0);const ja=li.get(ht).__webglFramebuffer;ht.isWebGLCubeRenderTarget?(Array.isArray(ja[Ln])?Nn=ja[Ln][pr]:Nn=ja[Ln],ki=!0):ht.samples>0&&Mi.useMultisampledRTT(ht)===!1?Nn=li.get(ht).__webglMultisampledFramebuffer:Array.isArray(ja)?Nn=ja[pr]:Nn=ja,pt.copy(ht.viewport),st.copy(ht.scissor),Ft=ht.scissorTest}else pt.copy(gn).multiplyScalar(Vt).floor(),st.copy(fr).multiplyScalar(Vt).floor(),Ft=qt;if(pr!==0&&(Nn=LC),Kr.bindFramebuffer(gt.FRAMEBUFFER,Nn)&&mr&&Kr.drawBuffers(ht,Nn),Kr.viewport(pt),Kr.scissor(st),Kr.setScissorTest(Ft),ki){const Os=li.get(ht.texture);gt.framebufferTexture2D(gt.FRAMEBUFFER,gt.COLOR_ATTACHMENT0,gt.TEXTURE_CUBE_MAP_POSITIVE_X+Ln,Os.__webglTexture,pr)}else if(ys){const Os=Ln;for(let La=0;La<ht.textures.length;La++){const ja=li.get(ht.textures[La]);gt.framebufferTextureLayer(gt.FRAMEBUFFER,gt.COLOR_ATTACHMENT0+La,ja.__webglTexture,pr,Os)}}else if(ht!==null&&pr!==0){const Os=li.get(ht.texture);gt.framebufferTexture2D(gt.FRAMEBUFFER,gt.COLOR_ATTACHMENT0,gt.TEXTURE_2D,Os.__webglTexture,pr)}Fe=-1},this.readRenderTargetPixels=function(ht,Ln,pr,mr,Nn,ki,ys,Js=0){if(!(ht&&ht.isWebGLRenderTarget)){cr("WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.");return}let Os=li.get(ht).__webglFramebuffer;if(ht.isWebGLCubeRenderTarget&&ys!==void 0&&(Os=Os[ys]),Os){Kr.bindFramebuffer(gt.FRAMEBUFFER,Os);try{const La=ht.textures[Js],ja=La.format,ga=La.type;if(!_r.textureFormatReadable(ja)){cr("WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format.");return}if(!_r.textureTypeReadable(ga)){cr("WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type.");return}Ln>=0&&Ln<=ht.width-mr&&pr>=0&&pr<=ht.height-Nn&&(ht.textures.length>1&&gt.readBuffer(gt.COLOR_ATTACHMENT0+Js),gt.readPixels(Ln,pr,mr,Nn,na.convert(ja),na.convert(ga),ki))}finally{const La=Re!==null?li.get(Re).__webglFramebuffer:null;Kr.bindFramebuffer(gt.FRAMEBUFFER,La)}}},this.readRenderTargetPixelsAsync=function(ht,Ln,pr,mr,Nn,ki,ys,Js=0){return ca(this,null,function*(){if(!(ht&&ht.isWebGLRenderTarget))throw new Error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.");let Os=li.get(ht).__webglFramebuffer;if(ht.isWebGLCubeRenderTarget&&ys!==void 0&&(Os=Os[ys]),Os)if(Ln>=0&&Ln<=ht.width-mr&&pr>=0&&pr<=ht.height-Nn){Kr.bindFramebuffer(gt.FRAMEBUFFER,Os);const La=ht.textures[Js],ja=La.format,ga=La.type;if(!_r.textureFormatReadable(ja))throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: renderTarget is not in RGBA or implementation defined format.");if(!_r.textureTypeReadable(ga))throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: renderTarget is not in UnsignedByteType or implementation defined type.");const br=gt.createBuffer();gt.bindBuffer(gt.PIXEL_PACK_BUFFER,br),gt.bufferData(gt.PIXEL_PACK_BUFFER,ki.byteLength,gt.STREAM_READ),ht.textures.length>1&&gt.readBuffer(gt.COLOR_ATTACHMENT0+Js),gt.readPixels(Ln,pr,mr,Nn,na.convert(ja),na.convert(ga),0);const so=Re!==null?li.get(Re).__webglFramebuffer:null;Kr.bindFramebuffer(gt.FRAMEBUFFER,so);const Bo=gt.fenceSync(gt.SYNC_GPU_COMMANDS_COMPLETE,0);return gt.flush(),yield Xc(gt,Bo,4),gt.bindBuffer(gt.PIXEL_PACK_BUFFER,br),gt.getBufferSubData(gt.PIXEL_PACK_BUFFER,0,ki),gt.deleteBuffer(br),gt.deleteSync(Bo),ki}else throw new Error("THREE.WebGLRenderer.readRenderTargetPixelsAsync: requested read bounds are out of range.")})},this.copyFramebufferToTexture=function(ht,Ln=null,pr=0){const mr=Math.pow(2,-pr),Nn=Math.floor(ht.image.width*mr),ki=Math.floor(ht.image.height*mr),ys=Ln!==null?Ln.x:0,Js=Ln!==null?Ln.y:0;Mi.setTexture2D(ht,0),gt.copyTexSubImage2D(gt.TEXTURE_2D,pr,0,0,ys,Js,Nn,ki),Kr.unbindTexture()};const RC=gt.createFramebuffer(),OC=gt.createFramebuffer();this.copyTextureToTexture=function(ht,Ln,pr=null,mr=null,Nn=0,ki=null){ki===null&&(Nn!==0?(no("WebGLRenderer: copyTextureToTexture function signature has changed to support src and dst mipmap levels."),ki=Nn,Nn=0):ki=0);let ys,Js,Os,La,ja,ga,br,so,Bo;const Mo=ht.isCompressedTexture?ht.mipmaps[ki]:ht.image;if(pr!==null)ys=pr.max.x-pr.min.x,Js=pr.max.y-pr.min.y,Os=pr.isBox3?pr.max.z-pr.min.z:1,La=pr.min.x,ja=pr.min.y,ga=pr.isBox3?pr.min.z:0;else{const Pf=Math.pow(2,-Nn);ys=Math.floor(Mo.width*Pf),Js=Math.floor(Mo.height*Pf),ht.isDataArrayTexture?Os=Mo.depth:ht.isData3DTexture?Os=Math.floor(Mo.depth*Pf):Os=1,La=0,ja=0,ga=0}mr!==null?(br=mr.x,so=mr.y,Bo=mr.z):(br=0,so=0,Bo=0);const Go=na.convert(Ln.format),ha=na.convert(Ln.type);let qo;Ln.isData3DTexture?(Mi.setTexture3D(Ln,0),qo=gt.TEXTURE_3D):Ln.isDataArrayTexture||Ln.isCompressedArrayTexture?(Mi.setTexture2DArray(Ln,0),qo=gt.TEXTURE_2D_ARRAY):(Mi.setTexture2D(Ln,0),qo=gt.TEXTURE_2D),gt.pixelStorei(gt.UNPACK_FLIP_Y_WEBGL,Ln.flipY),gt.pixelStorei(gt.UNPACK_PREMULTIPLY_ALPHA_WEBGL,Ln.premultiplyAlpha),gt.pixelStorei(gt.UNPACK_ALIGNMENT,Ln.unpackAlignment);const zo=gt.getParameter(gt.UNPACK_ROW_LENGTH),dd=gt.getParameter(gt.UNPACK_IMAGE_HEIGHT),om=gt.getParameter(gt.UNPACK_SKIP_PIXELS),fd=gt.getParameter(gt.UNPACK_SKIP_ROWS),nv=gt.getParameter(gt.UNPACK_SKIP_IMAGES);gt.pixelStorei(gt.UNPACK_ROW_LENGTH,Mo.width),gt.pixelStorei(gt.UNPACK_IMAGE_HEIGHT,Mo.height),gt.pixelStorei(gt.UNPACK_SKIP_PIXELS,La),gt.pixelStorei(gt.UNPACK_SKIP_ROWS,ja),gt.pixelStorei(gt.UNPACK_SKIP_IMAGES,ga);const fu=ht.isDataArrayTexture||ht.isData3DTexture,Dd=Ln.isDataArrayTexture||Ln.isData3DTexture;if(ht.isDepthTexture){const Pf=li.get(ht),hd=li.get(Ln),Id=li.get(Pf.__renderTarget),Zx=li.get(hd.__renderTarget);Kr.bindFramebuffer(gt.READ_FRAMEBUFFER,Id.__webglFramebuffer),Kr.bindFramebuffer(gt.DRAW_FRAMEBUFFER,Zx.__webglFramebuffer);for(let ig=0;ig<Os;ig++)fu&&(gt.framebufferTextureLayer(gt.READ_FRAMEBUFFER,gt.COLOR_ATTACHMENT0,li.get(ht).__webglTexture,Nn,ga+ig),gt.framebufferTextureLayer(gt.DRAW_FRAMEBUFFER,gt.COLOR_ATTACHMENT0,li.get(Ln).__webglTexture,ki,Bo+ig)),gt.blitFramebuffer(La,ja,ys,Js,br,so,ys,Js,gt.DEPTH_BUFFER_BIT,gt.NEAREST);Kr.bindFramebuffer(gt.READ_FRAMEBUFFER,null),Kr.bindFramebuffer(gt.DRAW_FRAMEBUFFER,null)}else if(Nn!==0||ht.isRenderTargetTexture||li.has(ht)){const Pf=li.get(ht),hd=li.get(Ln);Kr.bindFramebuffer(gt.READ_FRAMEBUFFER,RC),Kr.bindFramebuffer(gt.DRAW_FRAMEBUFFER,OC);for(let Id=0;Id<Os;Id++)fu?gt.framebufferTextureLayer(gt.READ_FRAMEBUFFER,gt.COLOR_ATTACHMENT0,Pf.__webglTexture,Nn,ga+Id):gt.framebufferTexture2D(gt.READ_FRAMEBUFFER,gt.COLOR_ATTACHMENT0,gt.TEXTURE_2D,Pf.__webglTexture,Nn),Dd?gt.framebufferTextureLayer(gt.DRAW_FRAMEBUFFER,gt.COLOR_ATTACHMENT0,hd.__webglTexture,ki,Bo+Id):gt.framebufferTexture2D(gt.DRAW_FRAMEBUFFER,gt.COLOR_ATTACHMENT0,gt.TEXTURE_2D,hd.__webglTexture,ki),Nn!==0?gt.blitFramebuffer(La,ja,ys,Js,br,so,ys,Js,gt.COLOR_BUFFER_BIT,gt.NEAREST):Dd?gt.copyTexSubImage3D(qo,ki,br,so,Bo+Id,La,ja,ys,Js):gt.copyTexSubImage2D(qo,ki,br,so,La,ja,ys,Js);Kr.bindFramebuffer(gt.READ_FRAMEBUFFER,null),Kr.bindFramebuffer(gt.DRAW_FRAMEBUFFER,null)}else Dd?ht.isDataTexture||ht.isData3DTexture?gt.texSubImage3D(qo,ki,br,so,Bo,ys,Js,Os,Go,ha,Mo.data):Ln.isCompressedArrayTexture?gt.compressedTexSubImage3D(qo,ki,br,so,Bo,ys,Js,Os,Go,Mo.data):gt.texSubImage3D(qo,ki,br,so,Bo,ys,Js,Os,Go,ha,Mo):ht.isDataTexture?gt.texSubImage2D(gt.TEXTURE_2D,ki,br,so,ys,Js,Go,ha,Mo.data):ht.isCompressedTexture?gt.compressedTexSubImage2D(gt.TEXTURE_2D,ki,br,so,Mo.width,Mo.height,Go,Mo.data):gt.texSubImage2D(gt.TEXTURE_2D,ki,br,so,ys,Js,Go,ha,Mo);gt.pixelStorei(gt.UNPACK_ROW_LENGTH,zo),gt.pixelStorei(gt.UNPACK_IMAGE_HEIGHT,dd),gt.pixelStorei(gt.UNPACK_SKIP_PIXELS,om),gt.pixelStorei(gt.UNPACK_SKIP_ROWS,fd),gt.pixelStorei(gt.UNPACK_SKIP_IMAGES,nv),ki===0&&Ln.generateMipmaps&&gt.generateMipmap(qo),Kr.unbindTexture()},this.initRenderTarget=function(ht){li.get(ht).__webglFramebuffer===void 0&&Mi.setupRenderTarget(ht)},this.initTexture=function(ht){ht.isCubeTexture?Mi.setTextureCube(ht,0):ht.isData3DTexture?Mi.setTexture3D(ht,0):ht.isDataArrayTexture||ht.isCompressedArrayTexture?Mi.setTexture2DArray(ht,0):Mi.setTexture2D(ht,0),Kr.unbindTexture()},this.resetState=function(){ze=0,He=0,Re=null,Kr.reset(),mn.reset()},typeof __THREE_DEVTOOLS__!="undefined"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe",{detail:this}))}get coordinateSystem(){return It}get outputColorSpace(){return this._outputColorSpace}set outputColorSpace(a){this._outputColorSpace=a;const x=this.getContext();x.drawingBufferColorSpace=ba._getDrawingBufferColorSpace(a),x.unpackColorSpace=ba._getUnpackColorSpace()}}const cX=["alphaMap","alphaTest","anisotropy","anisotropyMap","anisotropyRotation","aoMap","aoMapIntensity","attenuationColor","attenuationDistance","bumpMap","clearcoat","clearcoatMap","clearcoatNormalMap","clearcoatNormalScale","clearcoatRoughness","color","dispersion","displacementMap","emissive","emissiveIntensity","emissiveMap","envMap","envMapIntensity","gradientMap","ior","iridescence","iridescenceIOR","iridescenceMap","iridescenceThicknessMap","lightMap","lightMapIntensity","map","matcap","metalness","metalnessMap","normalMap","normalScale","opacity","roughness","roughnessMap","sheen","sheenColor","sheenColorMap","sheenRoughnessMap","shininess","specular","specularColor","specularColorMap","specularIntensity","specularIntensityMap","specularMap","thickness","transmission","transmissionMap"],j2=new WeakMap;class dX{constructor(a){this.renderObjects=new WeakMap,this.hasNode=this.containsNode(a),this.hasAnimation=a.object.isSkinnedMesh===!0,this.refreshUniforms=cX,this.renderId=0}firstInitialization(a){return this.renderObjects.has(a)===!1?(this.getRenderObjectData(a),!0):!1}needsVelocity(a){const x=a.getMRT();return x!==null&&x.has("velocity")}getRenderObjectData(a){let x=this.renderObjects.get(a);if(x===void 0){const{geometry:y,material:E,object:z}=a;if(x={material:this.getMaterialData(E),geometry:{id:y.id,attributes:this.getAttributesData(y.attributes),indexVersion:y.index?y.index.version:null,drawRange:{start:y.drawRange.start,count:y.drawRange.count}},worldMatrix:z.matrixWorld.clone()},z.center&&(x.center=z.center.clone()),z.morphTargetInfluences&&(x.morphTargetInfluences=z.morphTargetInfluences.slice()),a.bundle!==null&&(x.version=a.bundle.version),x.material.transmission>0){const{width:ee,height:te}=a.context;x.bufferWidth=ee,x.bufferHeight=te}x.lights=this.getLightsData(a.lightsNode.getLights()),this.renderObjects.set(a,x)}return x}getAttributesData(a){const x={};for(const y in a){const E=a[y];x[y]={version:E.version}}return x}containsNode(a){const x=a.material;for(const y in x)if(x[y]&&x[y].isNode)return!0;return a.renderer.overrideNodes.modelViewMatrix!==null||a.renderer.overrideNodes.modelNormalViewMatrix!==null}getMaterialData(a){const x={};for(const y of this.refreshUniforms){const E=a[y];E!=null&&(typeof E=="object"&&E.clone!==void 0?E.isTexture===!0?x[y]={id:E.id,version:E.version}:x[y]=E.clone():x[y]=E)}return x}equals(a,x){const{object:y,material:E,geometry:z}=a,ee=this.getRenderObjectData(a);if(ee.worldMatrix.equals(y.matrixWorld)!==!0)return ee.worldMatrix.copy(y.matrixWorld),!1;const te=ee.material;for(const ve in te){const me=te[ve],Pe=E[ve];if(me.equals!==void 0){if(me.equals(Pe)===!1)return me.copy(Pe),!1}else if(Pe.isTexture===!0){if(me.id!==Pe.id||me.version!==Pe.version)return me.id=Pe.id,me.version=Pe.version,!1}else if(me!==Pe)return te[ve]=Pe,!1}if(te.transmission>0){const{width:ve,height:me}=a.context;if(ee.bufferWidth!==ve||ee.bufferHeight!==me)return ee.bufferWidth=ve,ee.bufferHeight=me,!1}const ne=ee.geometry,ie=z.attributes,ae=ne.attributes,oe=Object.keys(ae),le=Object.keys(ie);if(ne.id!==z.id)return ne.id=z.id,!1;if(oe.length!==le.length)return ee.geometry.attributes=this.getAttributesData(ie),!1;for(const ve of oe){const me=ae[ve],Pe=ie[ve];if(Pe===void 0)return delete ae[ve],!1;if(me.version!==Pe.version)return me.version=Pe.version,!1}const ue=z.index,he=ne.indexVersion,xe=ue?ue.version:null;if(he!==xe)return ne.indexVersion=xe,!1;if(ne.drawRange.start!==z.drawRange.start||ne.drawRange.count!==z.drawRange.count)return ne.drawRange.start=z.drawRange.start,ne.drawRange.count=z.drawRange.count,!1;if(ee.morphTargetInfluences){let ve=!1;for(let me=0;me<ee.morphTargetInfluences.length;me++)ee.morphTargetInfluences[me]!==y.morphTargetInfluences[me]&&(ee.morphTargetInfluences[me]=y.morphTargetInfluences[me],ve=!0);if(ve)return!1}if(ee.lights){for(let ve=0;ve<x.length;ve++)if(ee.lights[ve].map!==x[ve].map)return!1}return ee.center&&ee.center.equals(y.center)===!1?(ee.center.copy(y.center),!0):(a.bundle!==null&&(ee.version=a.bundle.version),!0)}getLightsData(a){const x=[];for(const y of a)y.isSpotLight===!0&&y.map!==null&&x.push({map:y.map.version});return x}getLights(a,x){if(j2.has(a)){const E=j2.get(a);if(E.renderId===x)return E.lightsData}const y=this.getLightsData(a.getLights());return j2.set(a,{renderId:x,lightsData:y}),y}needsRefresh(a,x){if(this.hasNode||this.hasAnimation||this.firstInitialization(a)||this.needsVelocity(x.renderer))return!0;const{renderId:y}=x;if(this.renderId!==y)return this.renderId=y,!0;const E=a.object.static===!0,z=a.bundle!==null&&a.bundle.static===!0&&this.getRenderObjectData(a).version===a.bundle.version;if(E||z)return!1;const ee=this.getLights(a.lightsNode,y);return this.equals(a,ee)!==!0}}function V2(b,a=0){let x=3735928559^a,y=1103547991^a;if(b instanceof Array)for(let E=0,z;E<b.length;E++)z=b[E],x=Math.imul(x^z,2654435761),y=Math.imul(y^z,1597334677);else for(let E=0,z;E<b.length;E++)z=b.charCodeAt(E),x=Math.imul(x^z,2654435761),y=Math.imul(y^z,1597334677);return x=Math.imul(x^x>>>16,2246822507),x^=Math.imul(y^y>>>13,3266489909),y=Math.imul(y^y>>>16,2246822507),y^=Math.imul(x^x>>>13,3266489909),4294967296*(2097151&y)+(x>>>0)}const lx=b=>V2(b),kv=b=>V2(b),ux=(...b)=>V2(b),fX=new Map([[1,"float"],[2,"vec2"],[3,"vec3"],[4,"vec4"],[9,"mat3"],[16,"mat4"]]),XT=new WeakMap;function G2(b){return fX.get(b)}function Sy(b){if(/[iu]?vec\d/.test(b))return b.startsWith("ivec")?Int32Array:b.startsWith("uvec")?Uint32Array:Float32Array;if(/mat\d/.test(b)||/float/.test(b))return Float32Array;if(/uint/.test(b))return Uint32Array;if(/int/.test(b))return Int32Array;throw new Error(`THREE.NodeUtils: Unsupported type: ${b}`)}function X2(b){if(/float|int|uint/.test(b))return 1;if(/vec2/.test(b))return 2;if(/vec3/.test(b))return 3;if(/vec4/.test(b)||/mat2/.test(b))return 4;if(/mat3/.test(b))return 9;if(/mat4/.test(b))return 16;cr("TSL: Unsupported type:",b)}function WT(b){if(/float|int|uint/.test(b))return 1;if(/vec2/.test(b))return 2;if(/vec3/.test(b))return 3;if(/vec4/.test(b)||/mat2/.test(b))return 4;if(/mat3/.test(b))return 12;if(/mat4/.test(b))return 16;cr("TSL: Unsupported type:",b)}function QT(b){if(/float|int|uint/.test(b))return 4;if(/vec2/.test(b))return 8;if(/vec3/.test(b)||/vec4/.test(b))return 16;if(/mat2/.test(b))return 8;if(/mat3/.test(b))return 48;if(/mat4/.test(b))return 64;cr("TSL: Unsupported type:",b)}function Zg(b){if(b==null)return null;const a=typeof b;return b.isNode===!0?"node":a==="number"?"float":a==="boolean"?"bool":a==="string"?"string":a==="function"?"shader":b.isVector2===!0?"vec2":b.isVector3===!0?"vec3":b.isVector4===!0?"vec4":b.isMatrix2===!0?"mat2":b.isMatrix3===!0?"mat3":b.isMatrix4===!0?"mat4":b.isColor===!0?"color":b instanceof ArrayBuffer?"ArrayBuffer":null}function zE(b,...a){const x=b?b.slice(-4):void 0;return a.length===1&&(x==="vec2"?a=[a[0],a[0]]:x==="vec3"?a=[a[0],a[0],a[0]]:x==="vec4"&&(a=[a[0],a[0],a[0],a[0]])),b==="color"?new Ki(...a):x==="vec2"?new ar(...a):x==="vec3"?new ft(...a):x==="vec4"?new la(...a):x==="mat2"?new fE(...a):x==="mat3"?new ro(...a):x==="mat4"?new Fs(...a):b==="bool"?a[0]||!1:b==="float"||b==="int"||b==="uint"?a[0]||0:b==="string"?a[0]||"":b==="ArrayBuffer"?Z2(a[0]):null}function W2(b){let a=XT.get(b);return a===void 0&&(a={},XT.set(b,a)),a}function Q2(b){let a="";const x=new Uint8Array(b);for(let y=0;y<x.length;y++)a+=String.fromCharCode(x[y]);return btoa(a)}function Z2(b){return Uint8Array.from(atob(b),a=>a.charCodeAt(0)).buffer}var rfe=Object.freeze({__proto__:null,arrayBufferToBase64:Q2,base64ToArrayBuffer:Z2,getByteBoundaryFromType:QT,getDataFromObject:W2,getLengthFromType:X2,getMemoryLengthFromType:WT,getTypeFromLength:G2,getTypedArrayFromType:Sy,getValueFromType:zE,getValueType:Zg,hash:ux,hashArray:kv,hashString:lx});const By={VERTEX:"vertex",FRAGMENT:"fragment"},Ua={NONE:"none",FRAME:"frame",RENDER:"render",OBJECT:"object"},hX={BOOLEAN:"bool",INTEGER:"int",FLOAT:"float",VECTOR2:"vec2",VECTOR3:"vec3",VECTOR4:"vec4",MATRIX2:"mat2",MATRIX3:"mat3",MATRIX4:"mat4"},Sd={READ_ONLY:"readOnly",WRITE_ONLY:"writeOnly",READ_WRITE:"readWrite"},ZT=["fragment","vertex"],Y2=["setup","analyze","generate"],J2=[...ZT,"compute"],Hv=["x","y","z","w"],pX={analyze:"setup",generate:"analyze"};let mX=0;class vs extends Qu{static get type(){return"Node"}constructor(a=null){super(),this.nodeType=a,this.updateType=Ua.NONE,this.updateBeforeType=Ua.NONE,this.updateAfterType=Ua.NONE,this.uuid=Ig.generateUUID(),this.version=0,this.name="",this.global=!1,this.parents=!1,this.isNode=!0,this._beforeNodes=null,this._cacheKey=null,this._cacheKeyVersion=0,Object.defineProperty(this,"id",{value:mX++})}set needsUpdate(a){a===!0&&this.version++}get type(){return this.constructor.type}onUpdate(a,x){return this.updateType=x,this.update=a.bind(this),this}onFrameUpdate(a){return this.onUpdate(a,Ua.FRAME)}onRenderUpdate(a){return this.onUpdate(a,Ua.RENDER)}onObjectUpdate(a){return this.onUpdate(a,Ua.OBJECT)}onReference(a){return this.updateReference=a.bind(this),this}updateReference(){return this}isGlobal(){return this.global}*getChildren(){for(const{childNode:a}of this._getChildren())yield a}dispose(){this.dispatchEvent({type:"dispose"})}traverse(a){a(this);for(const x of this.getChildren())x.traverse(a)}_getChildren(a=new Set){const x=[];a.add(this);for(const y of Object.getOwnPropertyNames(this)){const E=this[y];if(!(y.startsWith("_")===!0||a.has(E))){if(Array.isArray(E)===!0)for(let z=0;z<E.length;z++){const ee=E[z];ee&&ee.isNode===!0&&x.push({property:y,index:z,childNode:ee})}else if(E&&E.isNode===!0)x.push({property:y,childNode:E});else if(E&&Object.getPrototypeOf(E)===Object.prototype)for(const z in E){if(z.startsWith("_")===!0)continue;const ee=E[z];ee&&ee.isNode===!0&&x.push({property:y,index:z,childNode:ee})}}}return x}getCacheKey(a=!1,x=null){if(a=a||this.version!==this._cacheKeyVersion,a===!0||this._cacheKey===null){x===null&&(x=new Set);const y=[];for(const{property:E,childNode:z}of this._getChildren(x))y.push(lx(E.slice(0,-4)),z.getCacheKey(a,x));this._cacheKey=ux(kv(y),this.customCacheKey()),this._cacheKeyVersion=this.version}return this._cacheKey}customCacheKey(){return this.id}getScope(){return this}getHash(){return this.uuid}getUpdateType(){return this.updateType}getUpdateBeforeType(){return this.updateBeforeType}getUpdateAfterType(){return this.updateAfterType}getElementType(a){const x=this.getNodeType(a);return a.getElementType(x)}getMemberType(){return"void"}getNodeType(a){const x=a.getNodeProperties(this);return x.outputNode?x.outputNode.getNodeType(a):this.nodeType}getShared(a){const x=this.getHash(a);return a.getNodeFromHash(x)||this}getArrayCount(){return null}setup(a){const x=a.getNodeProperties(this);let y=0;for(const E of this.getChildren())x["node"+y++]=E;return x.outputNode||null}analyze(a,x=null){const y=a.increaseUsage(this);if(this.parents===!0){const E=a.getDataFromNode(this,"any");E.stages=E.stages||{},E.stages[a.shaderStage]=E.stages[a.shaderStage]||[],E.stages[a.shaderStage].push(x)}if(y===1){const E=a.getNodeProperties(this);for(const z of Object.values(E))z&&z.isNode===!0&&z.build(a,this)}}generate(a,x){const{outputNode:y}=a.getNodeProperties(this);if(y&&y.isNode===!0)return y.build(a,x)}updateBefore(){wn("Abstract function.")}updateAfter(){wn("Abstract function.")}update(){wn("Abstract function.")}before(a){return this._beforeNodes===null&&(this._beforeNodes=[]),this._beforeNodes.push(a),this}build(a,x=null){const y=this.getShared(a);if(this!==y)return y.build(a,x);if(this._beforeNodes!==null){const ne=this._beforeNodes;this._beforeNodes=null;for(const ie of ne)ie.build(a,x);this._beforeNodes=ne}const E=a.getDataFromNode(this);E.buildStages=E.buildStages||{},E.buildStages[a.buildStage]=!0;const z=pX[a.buildStage];if(z&&E.buildStages[z]!==!0){const ne=a.getBuildStage();a.setBuildStage(z),this.build(a),a.setBuildStage(ne)}a.addNode(this),a.addChain(this);let ee=null;const te=a.getBuildStage();if(te==="setup"){this.updateReference(a);const ne=a.getNodeProperties(this);if(ne.initialized!==!0){ne.initialized=!0,ne.outputNode=this.setup(a)||ne.outputNode||null;for(const ie of Object.values(ne))if(ie&&ie.isNode===!0){if(ie.parents===!0){const ae=a.getNodeProperties(ie);ae.parents=ae.parents||[],ae.parents.push(this)}ie.build(a)}}ee=ne.outputNode}else if(te==="analyze")this.analyze(a,x);else if(te==="generate"){if(this.generate.length<2){const ie=this.getNodeType(a),ae=a.getDataFromNode(this);ee=ae.snippet,ee===void 0?ae.generated===void 0?(ae.generated=!0,ee=this.generate(a)||"",ae.snippet=ee):(wn("Node: Recursion detected.",this),ee="/* Recursion detected. */"):ae.flowCodes!==void 0&&a.context.nodeBlock!==void 0&&a.addFlowCodeHierarchy(this,a.context.nodeBlock),ee=a.format(ee,ie,x)}else ee=this.generate(a,x)||"";ee===""&&x!==null&&x!=="void"&&x!=="OutputType"&&(cr(`TSL: Invalid generated code, expected a "${x}".`),ee=a.generateConst(x))}return a.removeChain(this),a.addSequentialNode(this),ee}getSerializeChildren(){return this._getChildren()}serialize(a){const x=this.getSerializeChildren(),y={};for(const{property:E,index:z,childNode:ee}of x)z!==void 0?(y[E]===void 0&&(y[E]=Number.isInteger(z)?[]:{}),y[E][z]=ee.toJSON(a.meta).uuid):y[E]=ee.toJSON(a.meta).uuid;Object.keys(y).length>0&&(a.inputNodes=y)}deserialize(a){if(a.inputNodes!==void 0){const x=a.meta.nodes;for(const y in a.inputNodes)if(Array.isArray(a.inputNodes[y])){const E=[];for(const z of a.inputNodes[y])E.push(x[z]);this[y]=E}else if(typeof a.inputNodes[y]=="object"){const E={};for(const z in a.inputNodes[y]){const ee=a.inputNodes[y][z];E[z]=x[ee]}this[y]=E}else{const E=a.inputNodes[y];this[y]=x[E]}}}toJSON(a){const{uuid:x,type:y}=this,E=a===void 0||typeof a=="string";E&&(a={textures:{},images:{},nodes:{}});let z=a.nodes[x];z===void 0&&(z={uuid:x,type:y,meta:a,metadata:{version:4.7,type:"Node",generator:"Node.toJSON"}},E!==!0&&(a.nodes[z.uuid]=z),this.serialize(z),delete z.meta);function ee(te){const ne=[];for(const ie in te){const ae=te[ie];delete ae.metadata,ne.push(ae)}return ne}if(E){const te=ee(a.textures),ne=ee(a.images),ie=ee(a.nodes);te.length>0&&(z.textures=te),ne.length>0&&(z.images=ne),ie.length>0&&(z.nodes=ie)}return z}}class Uv extends vs{static get type(){return"ArrayElementNode"}constructor(a,x){super(),this.node=a,this.indexNode=x,this.isArrayElementNode=!0}getNodeType(a){return this.node.getElementType(a)}generate(a){const x=this.indexNode.getNodeType(a),y=this.node.build(a),E=this.indexNode.build(a,!a.isVector(x)&&a.isInteger(x)?x:"uint");return`${y}[ ${E} ]`}}class YT extends vs{static get type(){return"ConvertNode"}constructor(a,x){super(),this.node=a,this.convertTo=x}getNodeType(a){const x=this.node.getNodeType(a);let y=null;for(const E of this.convertTo.split("|"))(y===null||a.getTypeLength(x)===a.getTypeLength(E))&&(y=E);return y}serialize(a){super.serialize(a),a.convertTo=this.convertTo}deserialize(a){super.deserialize(a),this.convertTo=a.convertTo}generate(a,x){const y=this.node,E=this.getNodeType(a),z=y.build(a,E);return a.format(z,E,x)}}class Ju extends vs{static get type(){return"TempNode"}constructor(a=null){super(a),this.isTempNode=!0}hasDependencies(a){return a.getDataFromNode(this).usageCount>1}build(a,x){if(a.getBuildStage()==="generate"){const E=a.getVectorType(this.getNodeType(a,x)),z=a.getDataFromNode(this);if(z.propertyName!==void 0)return a.format(z.propertyName,E,x);if(E!=="void"&&x!=="void"&&this.hasDependencies(a)){const ee=super.build(a,E),te=a.getVarFromNode(this,null,E),ne=a.getPropertyName(te);return a.addLineFlowCode(`${ne} = ${ee}`,this),z.snippet=ee,z.propertyName=ne,a.format(z.propertyName,E,x)}}return super.build(a,x)}}class gX extends Ju{static get type(){return"JoinNode"}constructor(a=[],x=null){super(x),this.nodes=a}getNodeType(a){return this.nodeType!==null?a.getVectorType(this.nodeType):a.getTypeFromLength(this.nodes.reduce((x,y)=>x+a.getTypeLength(y.getNodeType(a)),0))}generate(a,x){const y=this.getNodeType(a),E=a.getTypeLength(y),z=this.nodes,ee=a.getComponentType(y),te=[];let ne=0;for(const ae of z){if(ne>=E){cr(`TSL: Length of parameters exceeds maximum length of function '${y}()' type.`);break}let oe=ae.getNodeType(a),le=a.getTypeLength(oe),ue;if(ne+le>E&&(cr(`TSL: Length of '${y}()' data exceeds maximum length of output type.`),le=E-ne,oe=a.getTypeFromLength(le)),ne+=le,ue=ae.build(a,oe),a.getComponentType(oe)!==ee){const xe=a.getTypeFromLength(le,ee);ue=a.format(ue,oe,xe)}te.push(ue)}const ie=`${a.getType(y)}( ${te.join(", ")} )`;return a.format(ie,y,x)}}const vX=Hv.join("");class JT extends vs{static get type(){return"SplitNode"}constructor(a,x="x"){super(),this.node=a,this.components=x,this.isSplitNode=!0}getVectorLength(){let a=this.components.length;for(const x of this.components)a=Math.max(Hv.indexOf(x)+1,a);return a}getComponentType(a){return a.getComponentType(this.node.getNodeType(a))}getNodeType(a){return a.getTypeFromLength(this.components.length,this.getComponentType(a))}getScope(){return this.node.getScope()}generate(a,x){const y=this.node,E=a.getTypeLength(y.getNodeType(a));let z=null;if(E>1){let ee=null;this.getVectorLength()>=E&&(ee=a.getTypeFromLength(this.getVectorLength(),this.getComponentType(a)));const ne=y.build(a,ee);this.components.length===E&&this.components===vX.slice(0,this.components.length)?z=a.format(ne,ee,x):z=a.format(`${ne}.${this.components}`,this.getNodeType(a),x)}else z=y.build(a,x);return z}serialize(a){super.serialize(a),a.components=this.components}deserialize(a){super.deserialize(a),this.components=a.components}}class AX extends Ju{static get type(){return"SetNode"}constructor(a,x,y){super(),this.sourceNode=a,this.components=x,this.targetNode=y}getNodeType(a){return this.sourceNode.getNodeType(a)}generate(a){const{sourceNode:x,components:y,targetNode:E}=this,z=this.getNodeType(a),ee=a.getComponentType(E.getNodeType(a)),te=a.getTypeFromLength(y.length,ee),ne=E.build(a,te),ie=x.build(a,z),ae=a.getTypeLength(z),oe=[];for(let le=0;le<ae;le++){const ue=Hv[le];ue===y[0]?(oe.push(ne),le+=y.length-1):oe.push(ie+"."+ue)}return`${a.getType(z)}( ${oe.join(", ")} )`}}class xX extends Ju{static get type(){return"FlipNode"}constructor(a,x){super(),this.sourceNode=a,this.components=x}getNodeType(a){return this.sourceNode.getNodeType(a)}generate(a){const{components:x,sourceNode:y}=this,E=this.getNodeType(a),z=y.build(a),ee=a.getVarFromNode(this),te=a.getPropertyName(ee);a.addLineFlowCode(te+" = "+z,this);const ne=a.getTypeLength(E),ie=[];let ae=0;for(let oe=0;oe<ne;oe++){const le=Hv[oe];le===x[ae]?(ie.push("1.0 - "+(te+"."+le)),ae++):ie.push(te+"."+le)}return`${a.getType(E)}( ${ie.join(", ")} )`}}class K2 extends vs{static get type(){return"InputNode"}constructor(a,x=null){super(x),this.isInputNode=!0,this.value=a,this.precision=null}getNodeType(){return this.nodeType===null?Zg(this.value):this.nodeType}getInputType(a){return this.getNodeType(a)}setPrecision(a){return this.precision=a,this}serialize(a){super.serialize(a),a.value=this.value,this.value&&this.value.toArray&&(a.value=this.value.toArray()),a.valueType=Zg(this.value),a.nodeType=this.nodeType,a.valueType==="ArrayBuffer"&&(a.value=Q2(a.value)),a.precision=this.precision}deserialize(a){super.deserialize(a),this.nodeType=a.nodeType,this.value=Array.isArray(a.value)?zE(a.valueType,...a.value):a.value,this.precision=a.precision||null,this.value&&this.value.fromArray&&(this.value=this.value.fromArray(a.value))}generate(){wn("Abstract function.")}}const KT=/float|u?int/;class ep extends K2{static get type(){return"ConstNode"}constructor(a,x=null){super(a,x),this.isConstNode=!0}generateConst(a){return a.generateConst(this.getNodeType(a),this.value)}generate(a,x){const y=this.getNodeType(a);return KT.test(y)&&KT.test(x)?a.generateConst(x,this.value):a.format(this.generateConst(a),y,x)}}class yX extends vs{static get type(){return"MemberNode"}constructor(a,x){super(),this.structNode=a,this.property=x,this.isMemberNode=!0}hasMember(a){return this.structNode.isMemberNode&&this.structNode.hasMember(a)===!1?!1:this.structNode.getMemberType(a,this.property)!=="void"}getNodeType(a){return this.hasMember(a)===!1?"float":this.structNode.getMemberType(a,this.property)}getMemberType(a,x){if(this.hasMember(a)===!1)return"float";const y=this.getNodeType(a);return a.getStructTypeNode(y).getMemberType(a,x)}generate(a){if(this.hasMember(a)===!1){wn(`TSL: Member "${this.property}" does not exist in struct.`);const y=this.getNodeType(a);return a.generateConst(y)}return this.structNode.build(a)+"."+this.property}}let U0=null;const q2=new Map;function Ar(b,a){if(q2.has(b)){wn(`TSL: Redefinition of method chaining '${b}'.`);return}if(typeof a!="function")throw new Error(`THREE.TSL: Node element ${b} is not a function`);q2.set(b,a),b!=="assign"&&(vs.prototype[b]=function(...x){return this.isStackNode?this.addToStack(a(...x)):a(this,...x)},vs.prototype[b+"Assign"]=function(...x){return this.isStackNode?this.assign(x[0],a(...x)):this.assign(a(this,...x))})}const bX=b=>b.replace(/r|s/g,"x").replace(/g|t/g,"y").replace(/b|p/g,"z").replace(/a|q/g,"w"),qT=b=>bX(b).split("").sort().join("");vs.prototype.assign=function(...b){if(this.isStackNode!==!0)return U0!==null?U0.assign(this,...b):cr("TSL: No stack defined for assign operation. Make sure the assign is inside a Fn()."),this;{const a=q2.get("assign");return this.addToStack(a(...b))}},vs.prototype.toVarIntent=function(){return this},vs.prototype.get=function(b){return new yX(this,b)};const My={};function kE(b,a,x){My[b]=My[a]=My[x]={get(){this._cache=this._cache||{};let ee=this._cache[b];return ee===void 0&&(ee=new JT(this,b),this._cache[b]=ee),ee},set(ee){this[b].assign(Sr(ee))}};const y=b.toUpperCase(),E=a.toUpperCase(),z=x.toUpperCase();vs.prototype["set"+y]=vs.prototype["set"+E]=vs.prototype["set"+z]=function(ee){const te=qT(b);return new AX(this,te,Sr(ee))},vs.prototype["flip"+y]=vs.prototype["flip"+E]=vs.prototype["flip"+z]=function(){const ee=qT(b);return new xX(this,ee)}}const zm=["x","y","z","w"],km=["r","g","b","a"],Hm=["s","t","p","q"];for(let b=0;b<4;b++){let a=zm[b],x=km[b],y=Hm[b];kE(a,x,y);for(let E=0;E<4;E++){a=zm[b]+zm[E],x=km[b]+km[E],y=Hm[b]+Hm[E],kE(a,x,y);for(let z=0;z<4;z++){a=zm[b]+zm[E]+zm[z],x=km[b]+km[E]+km[z],y=Hm[b]+Hm[E]+Hm[z],kE(a,x,y);for(let ee=0;ee<4;ee++)a=zm[b]+zm[E]+zm[z]+zm[ee],x=km[b]+km[E]+km[z]+km[ee],y=Hm[b]+Hm[E]+Hm[z]+Hm[ee],kE(a,x,y)}}}for(let b=0;b<32;b++)My[b]={get(){this._cache=this._cache||{};let a=this._cache[b];return a===void 0&&(a=new Uv(this,new ep(b,"uint")),this._cache[b]=a),a},set(a){this[b].assign(Sr(a))}};Object.defineProperties(vs.prototype,My);const _T=new WeakMap,EX=function(b,a=null){const x=Zg(b);return x==="node"?b:a===null&&(x==="float"||x==="boolean")||x&&x!=="shader"&&x!=="string"?Sr(tP(b,a)):x==="shader"?b.isFn?b:hn(b):b},wX=function(b,a=null){for(const x in b)b[x]=Sr(b[x],a);return b},CX=function(b,a=null){const x=b.length;for(let y=0;y<x;y++)b[y]=Sr(b[y],a);return b},$T=function(b,a=null,x=null,y=null){function E(ae){return y!==null?(ae=Sr(Object.assign(ae,y)),y.intent===!0&&(ae=ae.toVarIntent())):ae=Sr(ae),ae}let z,ee=a,te,ne;function ie(ae){let oe;return ee?oe=/[a-z]/i.test(ee)?ee+"()":ee:oe=b.type,te!==void 0&&ae.length<te?(cr(`TSL: "${oe}" parameter length is less than minimum required.`),ae.concat(new Array(te-ae.length).fill(0))):ne!==void 0&&ae.length>ne?(cr(`TSL: "${oe}" parameter length exceeds limit.`),ae.slice(0,ne)):ae}return a===null?z=(...ae)=>E(new b(...jv(ie(ae)))):x!==null?(x=Sr(x),z=(...ae)=>E(new b(a,...jv(ie(ae)),x))):z=(...ae)=>E(new b(a,...jv(ie(ae)))),z.setParameterLength=(...ae)=>(ae.length===1?te=ne=ae[0]:ae.length===2&&([te,ne]=ae),z),z.setName=ae=>(ee=ae,z),z},PX=function(b,...a){return Sr(new b(...jv(a)))};class SX extends vs{constructor(a,x){super(),this.shaderNode=a,this.rawInputs=x,this.isShaderCallNodeInternal=!0}getNodeType(a){return this.shaderNode.nodeType||this.getOutputNode(a).getNodeType(a)}getElementType(a){return this.getOutputNode(a).getElementType(a)}getMemberType(a,x){return this.getOutputNode(a).getMemberType(a,x)}call(a){const{shaderNode:x,rawInputs:y}=this,E=a.getNodeProperties(x),z=a.getClosestSubBuild(x.subBuilds)||"",ee=z||"default";if(E[ee])return E[ee];const te=a.subBuildFn,ne=a.fnCall;a.subBuildFn=z,a.fnCall=this;let ie=null;if(x.layout){let ae=_T.get(a.constructor);ae===void 0&&(ae=new WeakMap,_T.set(a.constructor,ae));let oe=ae.get(x);oe===void 0&&(oe=Sr(a.buildFunctionNode(x)),ae.set(x,oe)),a.addInclude(oe);const le=y?BX(y):null;ie=Sr(oe.call(le))}else{const ae=new Proxy(a,{get:(xe,ve,me)=>{let Pe;return Symbol.iterator===ve?Pe=function*(){yield void 0}:Pe=Reflect.get(xe,ve,me),Pe}}),oe=y?MX(y):null,le=Array.isArray(y)?y.length>0:y!==null,ue=x.jsFunc,he=le||ue.length>1?ue(oe,ae):ue(ae);ie=Sr(he)}return a.subBuildFn=te,a.fnCall=ne,x.once&&(E[ee]=ie),ie}setupOutput(a){return a.addStack(),a.stack.outputNode=this.call(a),a.removeStack()}getOutputNode(a){const x=a.getNodeProperties(this),y=a.getSubBuildOutput(this);return x[y]=x[y]||this.setupOutput(a),x[y].subBuild=a.getClosestSubBuild(this),x[y]}build(a,x=null){let y=null;const E=a.getBuildStage(),z=a.getNodeProperties(this),ee=a.getSubBuildOutput(this),te=this.getOutputNode(a),ne=a.fnCall;if(a.fnCall=this,E==="setup"){const ie=a.getSubBuildProperty("initialized",this);if(z[ie]!==!0&&(z[ie]=!0,z[ee]=this.getOutputNode(a),z[ee].build(a),this.shaderNode.subBuilds))for(const ae of a.chaining){const oe=a.getDataFromNode(ae,"any");oe.subBuilds=oe.subBuilds||new Set;for(const le of this.shaderNode.subBuilds)oe.subBuilds.add(le)}y=z[ee]}else E==="analyze"?te.build(a,x):E==="generate"&&(y=te.build(a,x)||"");return a.fnCall=ne,y}}function BX(b){let a;return jE(b),b[0]&&(b[0].isNode||Object.getPrototypeOf(b[0])!==Object.prototype)?a=[...b]:a=b[0],a}function MX(b){let a=0;return jE(b),new Proxy(b,{get:(x,y,E)=>{let z;if(y==="length")return z=b.length,z;if(Symbol.iterator===y)z=function*(){for(const ee of b)yield Sr(ee)};else{if(b.length>0)if(Object.getPrototypeOf(b[0])===Object.prototype){const ee=b[0];ee[y]===void 0?z=ee[a++]:z=Reflect.get(ee,y,E)}else b[0]instanceof vs&&(b[y]===void 0?z=b[a++]:z=Reflect.get(b,y,E));else z=Reflect.get(x,y,E);z=Sr(z)}return z}})}class TX extends vs{constructor(a,x){super(x),this.jsFunc=a,this.layout=null,this.global=!0,this.once=!1}setLayout(a){return this.layout=a,this}getLayout(){return this.layout}call(a=null){return new SX(this,a)}setup(){return this.call()}}const DX=[!1,!0],IX=[0,1,2,3],NX=[-1,-2],eD=[.5,1.5,1/3,1e-6,1e6,Math.PI,Math.PI*2,1/Math.PI,2/Math.PI,1/(Math.PI*2),Math.PI/2],_2=new Map;for(const b of DX)_2.set(b,new ep(b));const $2=new Map;for(const b of IX)$2.set(b,new ep(b,"uint"));const eP=new Map([...$2].map(b=>new ep(b.value,"int")));for(const b of NX)eP.set(b,new ep(b,"int"));const HE=new Map([...eP].map(b=>new ep(b.value)));for(const b of eD)HE.set(b,new ep(b));for(const b of eD)HE.set(-b,new ep(-b));const UE={bool:_2,uint:$2,ints:eP,float:HE},tD=new Map([..._2,...HE]),tP=(b,a)=>tD.has(b)?tD.get(b):b.isNode===!0?b:new ep(b,a),Nc=function(b,a=null){return(...x)=>{for(const E of x)if(E===void 0)return cr(`TSL: Invalid parameter for the type "${b}".`),Sr(new ep(0,b));if((x.length===0||!["bool","float","int","uint"].includes(b)&&x.every(E=>{const z=typeof E;return z!=="object"&&z!=="function"}))&&(x=[zE(b,...x)]),x.length===1&&a!==null&&a.has(x[0]))return Dy(a.get(x[0]));if(x.length===1){const E=tP(x[0],b);return E.nodeType===b?Dy(E):Dy(new YT(E,b))}const y=x.map(E=>tP(E));return Dy(new gX(y,b))}},Ty=b=>typeof b=="object"&&b!==null?b.value:b,nD=b=>b!=null?b.nodeType||b.convertTo||(typeof b=="string"?b:null):null;function cx(b,a){return new TX(b,a)}const Sr=(b,a=null)=>EX(b,a),Dy=(b,a=null)=>Sr(b,a).toVarIntent(),jE=(b,a=null)=>new wX(b,a),jv=(b,a=null)=>new CX(b,a),Sa=(b,a=null,x=null,y=null)=>new $T(b,a,x,y),wi=(b,...a)=>new PX(b,...a),hi=(b,a=null,x=null,y={})=>new $T(b,a,x,gp($u({},y),{intent:!0}));let FX=0;class LX extends vs{constructor(a,x=null){super();let y=null;x!==null&&(typeof x=="object"?y=x.return:(typeof x=="string"?y=x:cr("TSL: Invalid layout type."),x=null)),this.shaderNode=new cx(a,y),x!==null&&this.setLayout(x),this.isFn=!0}setLayout(a){const x=this.shaderNode.nodeType;if(typeof a.inputs!="object"){const y={name:"fn"+FX++,type:x,inputs:[]};for(const E in a)E!=="return"&&y.inputs.push({name:E,type:a[E]});a=y}return this.shaderNode.setLayout(a),this}getNodeType(a){return this.shaderNode.getNodeType(a)||"float"}call(...a){const x=this.shaderNode.call(a);return this.shaderNode.nodeType==="void"&&x.toStack(),x.toVarIntent()}once(a=null){return this.shaderNode.once=!0,this.shaderNode.subBuilds=a,this}generate(a){const x=this.getNodeType(a);return cr('TSL: "Fn()" was declared but not invoked. Try calling it like "Fn()( ...params )".'),a.generateConst(x)}}function hn(b,a=null){const x=new LX(b,a);return new Proxy(()=>{},{apply(y,E,z){return x.call(...z)},get(y,E,z){return Reflect.get(x,E,z)},set(y,E,z,ee){return Reflect.set(x,E,z,ee)}})}const Iy=b=>{U0=b},nP=()=>U0,Ms=(...b)=>U0.If(...b),RX=(...b)=>U0.Switch(...b);function VE(b){return U0&&U0.addToStack(b),b}Ar("toStack",VE);const rD=new Nc("color"),lt=new Nc("float",UE.float),Jt=new Nc("int",UE.ints),ai=new Nc("uint",UE.uint),tp=new Nc("bool",UE.bool),Br=new Nc("vec2"),Zc=new Nc("ivec2"),iD=new Nc("uvec2"),sD=new Nc("bvec2"),sn=new Nc("vec3"),aD=new Nc("ivec3"),dx=new Nc("uvec3"),rP=new Nc("bvec3"),ns=new Nc("vec4"),oD=new Nc("ivec4"),lD=new Nc("uvec4"),uD=new Nc("bvec4"),GE=new Nc("mat2"),_d=new Nc("mat3"),Vv=new Nc("mat4"),OX=(b="")=>Sr(new ep(b,"string")),zX=b=>Sr(new ep(b,"ArrayBuffer"));Ar("toColor",rD),Ar("toFloat",lt),Ar("toInt",Jt),Ar("toUint",ai),Ar("toBool",tp),Ar("toVec2",Br),Ar("toIVec2",Zc),Ar("toUVec2",iD),Ar("toBVec2",sD),Ar("toVec3",sn),Ar("toIVec3",aD),Ar("toUVec3",dx),Ar("toBVec3",rP),Ar("toVec4",ns),Ar("toIVec4",oD),Ar("toUVec4",lD),Ar("toBVec4",uD),Ar("toMat2",GE),Ar("toMat3",_d),Ar("toMat4",Vv);const cD=Sa(Uv).setParameterLength(2),dD=(b,a)=>Sr(new YT(Sr(b),a)),kX=(b,a)=>Sr(new JT(Sr(b),a));Ar("element",cD),Ar("convert",dD);const HX=b=>(wn("TSL: append() has been renamed to Stack()."),VE(b));Ar("append",b=>(wn("TSL: .append() has been renamed to .toStack()."),VE(b)));class Cl extends vs{static get type(){return"PropertyNode"}constructor(a,x=null,y=!1){super(a),this.name=x,this.varying=y,this.isPropertyNode=!0,this.global=!0}customCacheKey(){return lx(this.type+":"+(this.name||"")+":"+(this.varying?"1":"0"))}getHash(a){return this.name||super.getHash(a)}generate(a){let x;return this.varying===!0?(x=a.getVaryingFromNode(this,this.name),x.needsInterpolation=!0):x=a.getVarFromNode(this,this.name),a.getPropertyName(x)}}const _p=(b,a)=>Sr(new Cl(b,a)),Eh=(b,a)=>Sr(new Cl(b,a,!0)),Wo=wi(Cl,"vec4","DiffuseColor"),iP=wi(Cl,"vec3","EmissiveColor"),Um=wi(Cl,"float","Roughness"),Ny=wi(Cl,"float","Metalness"),XE=wi(Cl,"float","Clearcoat"),Fy=wi(Cl,"float","ClearcoatRoughness"),Gv=wi(Cl,"vec3","Sheen"),WE=wi(Cl,"float","SheenRoughness"),QE=wi(Cl,"float","Iridescence"),sP=wi(Cl,"float","IridescenceIOR"),aP=wi(Cl,"float","IridescenceThickness"),ZE=wi(Cl,"float","AlphaT"),j0=wi(Cl,"float","Anisotropy"),Ly=wi(Cl,"vec3","AnisotropyT"),Xv=wi(Cl,"vec3","AnisotropyB"),np=wi(Cl,"color","SpecularColor"),Ry=wi(Cl,"float","SpecularF90"),YE=wi(Cl,"float","Shininess"),fx=wi(Cl,"vec4","Output"),Wv=wi(Cl,"float","dashSize"),Oy=wi(Cl,"float","gapSize"),UX=wi(Cl,"float","pointWidth"),zy=wi(Cl,"float","IOR"),JE=wi(Cl,"float","Transmission"),oP=wi(Cl,"float","Thickness"),lP=wi(Cl,"float","AttenuationDistance"),uP=wi(Cl,"color","AttenuationColor"),cP=wi(Cl,"float","Dispersion");class fD extends vs{static get type(){return"UniformGroupNode"}constructor(a,x=!1,y=1){super("string"),this.name=a,this.shared=x,this.order=y,this.isUniformGroup=!0}serialize(a){super.serialize(a),a.name=this.name,a.version=this.version,a.shared=this.shared}deserialize(a){super.deserialize(a),this.name=a.name,this.version=a.version,this.shared=a.shared}}const hD=b=>new fD(b),KE=(b,a=0)=>new fD(b,!0,a),pD=KE("frame"),Hs=KE("render"),dP=hD("object");class ky extends K2{static get type(){return"UniformNode"}constructor(a,x=null){super(a,x),this.isUniformNode=!0,this.name="",this.groupNode=dP}setName(a){return this.name=a,this}label(a){return wn('TSL: "label()" has been deprecated. Use "setName()" instead.'),this.setName(a)}setGroup(a){return this.groupNode=a,this}getGroup(){return this.groupNode}getUniformHash(a){return this.getHash(a)}onUpdate(a,x){return a=a.bind(this),super.onUpdate(y=>{const E=a(y,this);E!==void 0&&(this.value=E)},x)}getInputType(a){let x=super.getInputType(a);return x==="bool"&&(x="uint"),x}generate(a,x){const y=this.getNodeType(a),E=this.getUniformHash(a);let z=a.getNodeFromHash(E);z===void 0&&(a.setHashNode(this,E),z=this);const ee=z.getInputType(a),te=a.getUniformFromNode(z,ee,a.shaderStage,this.name||a.context.nodeName),ne=a.getPropertyName(te);a.context.nodeName!==void 0&&delete a.context.nodeName;let ie=ne;if(y==="bool"){const ae=a.getDataFromNode(this);let oe=ae.propertyName;if(oe===void 0){const le=a.getVarFromNode(this,null,"bool");oe=a.getPropertyName(le),ae.propertyName=oe,ie=a.format(ne,ee,y),a.addLineFlowCode(`${oe} = ${ie}`,this)}ie=oe}return a.format(ie,y,x)}}const Ds=(b,a)=>{const x=nD(a||b);return x===b&&(b=zE(x)),b=b&&b.isNode===!0?b.node&&b.node.value||b.value:b,Sr(new ky(b,x))};class mD extends Ju{static get type(){return"ArrayNode"}constructor(a,x,y=null){super(a),this.count=x,this.values=y,this.isArrayNode=!0}getArrayCount(){return this.count}getNodeType(a){return this.nodeType===null&&(this.nodeType=this.values[0].getNodeType(a)),this.nodeType}getElementType(a){return this.getNodeType(a)}generate(a){const x=this.getNodeType(a);return a.generateArray(x,this.count,this.values)}}const gD=(...b)=>{let a;if(b.length===1){const x=b[0];a=new mD(null,x.length,x)}else{const x=b[0],y=b[1];a=new mD(x,y)}return Sr(a)};Ar("toArray",(b,a)=>gD(Array(a).fill(b)));class jX extends Ju{static get type(){return"AssignNode"}constructor(a,x){super(),this.targetNode=a,this.sourceNode=x,this.isAssignNode=!0}hasDependencies(){return!1}getNodeType(a,x){return x!=="void"?this.targetNode.getNodeType(a):"void"}needsSplitAssign(a){const{targetNode:x}=this;if(a.isAvailable("swizzleAssign")===!1&&x.isSplitNode&&x.components.length>1){const y=a.getTypeLength(x.node.getNodeType(a));return Hv.join("").slice(0,y)!==x.components}return!1}setup(a){const{targetNode:x,sourceNode:y}=this,E=x.getScope(),z=a.getNodeProperties(E);z.assign=!0;const ee=a.getNodeProperties(this);ee.sourceNode=y,ee.targetNode=x.context({assign:!0})}generate(a,x){const{targetNode:y,sourceNode:E}=a.getNodeProperties(this),z=this.needsSplitAssign(a),ee=y.build(a),te=y.getNodeType(a),ne=E.build(a,te),ie=E.getNodeType(a),ae=a.getDataFromNode(this);let oe;if(ae.initialized===!0)x!=="void"&&(oe=ee);else if(z){const le=a.getVarFromNode(this,null,te),ue=a.getPropertyName(le);a.addLineFlowCode(`${ue} = ${ne}`,this);const he=y.node,ve=he.node.context({assign:!0}).build(a);for(let me=0;me<he.components.length;me++){const Pe=he.components[me];a.addLineFlowCode(`${ve}.${Pe} = ${ue}[ ${me} ]`,this)}x!=="void"&&(oe=ee)}else oe=`${ee} = ${ne}`,(x==="void"||ie==="void")&&(a.addLineFlowCode(oe,this),x!=="void"&&(oe=ee));return ae.initialized=!0,a.format(oe,te,x)}}const vD=Sa(jX).setParameterLength(2);Ar("assign",vD);class VX extends Ju{static get type(){return"FunctionCallNode"}constructor(a=null,x={}){super(),this.functionNode=a,this.parameters=x}setParameters(a){return this.parameters=a,this}getParameters(){return this.parameters}getNodeType(a){return this.functionNode.getNodeType(a)}getMemberType(a,x){return this.functionNode.getMemberType(a,x)}generate(a){const x=[],y=this.functionNode,E=y.getInputs(a),z=this.parameters,ee=(ne,ie)=>{const ae=ie.type,oe=ae==="pointer";let le;return oe?le="&"+ne.build(a):le=ne.build(a,ae),le};if(Array.isArray(z)){if(z.length>E.length)cr("TSL: The number of provided parameters exceeds the expected number of inputs in 'Fn()'."),z.length=E.length;else if(z.length<E.length)for(cr("TSL: The number of provided parameters is less than the expected number of inputs in 'Fn()'.");z.length<E.length;)z.push(lt(0));for(let ne=0;ne<z.length;ne++)x.push(ee(z[ne],E[ne]))}else for(const ne of E){const ie=z[ne.name];ie!==void 0?x.push(ee(ie,ne)):(cr(`TSL: Input '${ne.name}' not found in 'Fn()'.`),x.push(ee(lt(0),ne)))}return`${y.build(a,"property")}( ${x.join(", ")} )`}}const AD=(b,...a)=>(a=a.length>1||a[0]&&a[0].isNode===!0?jv(a):jE(a[0]),new VX(Sr(b),a));Ar("call",AD);const GX={"==":"equal","!=":"notEqual","<":"lessThan",">":"greaterThan","<=":"lessThanEqual",">=":"greaterThanEqual","%":"mod"};class Su extends Ju{static get type(){return"OperatorNode"}constructor(a,x,y,...E){if(super(),E.length>0){let z=new Su(a,x,y);for(let ee=0;ee<E.length-1;ee++)z=new Su(a,z,E[ee]);x=z,y=E[E.length-1]}this.op=a,this.aNode=x,this.bNode=y,this.isOperatorNode=!0}getOperatorMethod(a,x){return a.getMethod(GX[this.op],x)}getNodeType(a,x=null){const y=this.op,E=this.aNode,z=this.bNode,ee=E.getNodeType(a),te=z?z.getNodeType(a):null;if(ee==="void"||te==="void")return x||"void";if(y==="%")return ee;if(y==="~"||y==="&"||y==="|"||y==="^"||y===">>"||y==="<<")return a.getIntegerType(ee);if(y==="!"||y==="&&"||y==="||"||y==="^^")return"bool";if(y==="=="||y==="!="||y==="<"||y===">"||y==="<="||y===">="){const ne=Math.max(a.getTypeLength(ee),a.getTypeLength(te));return ne>1?`bvec${ne}`:"bool"}else{if(a.isMatrix(ee)){if(te==="float")return ee;if(a.isVector(te))return a.getVectorFromMatrix(ee);if(a.isMatrix(te))return ee}else if(a.isMatrix(te)){if(ee==="float")return te;if(a.isVector(ee))return a.getVectorFromMatrix(te)}return a.getTypeLength(te)>a.getTypeLength(ee)?te:ee}}generate(a,x){const y=this.op,{aNode:E,bNode:z}=this,ee=this.getNodeType(a,x);let te=null,ne=null;ee!=="void"?(te=E.getNodeType(a),ne=z?z.getNodeType(a):null,y==="<"||y===">"||y==="<="||y===">="||y==="=="||y==="!="?a.isVector(te)?ne=te:a.isVector(ne)?te=ne:te!==ne&&(te=ne="float"):y===">>"||y==="<<"?(te=ee,ne=a.changeComponentType(ne,"uint")):y==="%"?(te=ee,ne=a.isInteger(te)&&a.isInteger(ne)?ne:te):a.isMatrix(te)?ne==="float"?ne="float":a.isVector(ne)?ne=a.getVectorFromMatrix(te):a.isMatrix(ne)||(te=ne=ee):a.isMatrix(ne)?te==="float"?te="float":a.isVector(te)?te=a.getVectorFromMatrix(ne):te=ne=ee:te=ne=ee):te=ne=ee;const ie=E.build(a,te),ae=z?z.build(a,ne):null,oe=a.getFunctionOperator(y);if(x!=="void"){const le=a.renderer.coordinateSystem===It;if(y==="=="||y==="!="||y==="<"||y===">"||y==="<="||y===">=")return le?a.isVector(te)?a.format(`${this.getOperatorMethod(a,x)}( ${ie}, ${ae} )`,ee,x):a.format(`( ${ie} ${y} ${ae} )`,ee,x):a.format(`( ${ie} ${y} ${ae} )`,ee,x);if(y==="%")return a.isInteger(ne)?a.format(`( ${ie} % ${ae} )`,ee,x):a.format(`${this.getOperatorMethod(a,ee)}( ${ie}, ${ae} )`,ee,x);if(y==="!"||y==="~")return a.format(`(${y}${ie})`,te,x);if(oe)return a.format(`${oe}( ${ie}, ${ae} )`,ee,x);if(a.isMatrix(te)&&ne==="float")return a.format(`( ${ae} ${y} ${ie} )`,ee,x);if(te==="float"&&a.isMatrix(ne))return a.format(`${ie} ${y} ${ae}`,ee,x);{let ue=`( ${ie} ${y} ${ae} )`;return!le&&ee==="bool"&&a.isVector(te)&&a.isVector(ne)&&(ue=`all${ue}`),a.format(ue,ee,x)}}else if(te!=="void")return oe?a.format(`${oe}( ${ie}, ${ae} )`,ee,x):a.isMatrix(te)&&ne==="float"?a.format(`${ae} ${y} ${ie}`,ee,x):a.format(`${ie} ${y} ${ae}`,ee,x)}serialize(a){super.serialize(a),a.op=this.op}deserialize(a){super.deserialize(a),this.op=a.op}}const Ac=hi(Su,"+").setParameterLength(2,1/0).setName("add"),Io=hi(Su,"-").setParameterLength(2,1/0).setName("sub"),Ia=hi(Su,"*").setParameterLength(2,1/0).setName("mul"),wh=hi(Su,"/").setParameterLength(2,1/0).setName("div"),Hy=hi(Su,"%").setParameterLength(2).setName("mod"),fP=hi(Su,"==").setParameterLength(2).setName("equal"),xD=hi(Su,"!=").setParameterLength(2).setName("notEqual"),yD=hi(Su,"<").setParameterLength(2).setName("lessThan"),hP=hi(Su,">").setParameterLength(2).setName("greaterThan"),bD=hi(Su,"<=").setParameterLength(2).setName("lessThanEqual"),ED=hi(Su,">=").setParameterLength(2).setName("greaterThanEqual"),wD=hi(Su,"&&").setParameterLength(2,1/0).setName("and"),CD=hi(Su,"||").setParameterLength(2,1/0).setName("or"),PD=hi(Su,"!").setParameterLength(1).setName("not"),SD=hi(Su,"^^").setParameterLength(2).setName("xor"),BD=hi(Su,"&").setParameterLength(2).setName("bitAnd"),MD=hi(Su,"~").setParameterLength(1).setName("bitNot"),TD=hi(Su,"|").setParameterLength(2).setName("bitOr"),DD=hi(Su,"^").setParameterLength(2).setName("bitXor"),ID=hi(Su,"<<").setParameterLength(2).setName("shiftLeft"),ND=hi(Su,">>").setParameterLength(2).setName("shiftRight"),FD=hn(([b])=>(b.addAssign(1),b)),LD=hn(([b])=>(b.subAssign(1),b)),RD=hn(([b])=>{const a=Jt(b).toConst();return b.addAssign(1),a}),OD=hn(([b])=>{const a=Jt(b).toConst();return b.subAssign(1),a});Ar("add",Ac),Ar("sub",Io),Ar("mul",Ia),Ar("div",wh),Ar("mod",Hy),Ar("equal",fP),Ar("notEqual",xD),Ar("lessThan",yD),Ar("greaterThan",hP),Ar("lessThanEqual",bD),Ar("greaterThanEqual",ED),Ar("and",wD),Ar("or",CD),Ar("not",PD),Ar("xor",SD),Ar("bitAnd",BD),Ar("bitNot",MD),Ar("bitOr",TD),Ar("bitXor",DD),Ar("shiftLeft",ID),Ar("shiftRight",ND),Ar("incrementBefore",FD),Ar("decrementBefore",LD),Ar("increment",RD),Ar("decrement",OD);const zD=(b,a)=>(wn('TSL: "modInt()" is deprecated. Use "mod( int( ... ) )" instead.'),Hy(Jt(b),Jt(a)));Ar("modInt",zD);class zn extends Ju{static get type(){return"MathNode"}constructor(a,x,y=null,E=null){if(super(),(a===zn.MAX||a===zn.MIN)&&arguments.length>3){let z=new zn(a,x,y);for(let ee=2;ee<arguments.length-1;ee++)z=new zn(a,z,arguments[ee]);x=z,y=arguments[arguments.length-1],E=null}this.method=a,this.aNode=x,this.bNode=y,this.cNode=E,this.isMathNode=!0}getInputType(a){const x=this.aNode.getNodeType(a),y=this.bNode?this.bNode.getNodeType(a):null,E=this.cNode?this.cNode.getNodeType(a):null,z=a.isMatrix(x)?0:a.getTypeLength(x),ee=a.isMatrix(y)?0:a.getTypeLength(y),te=a.isMatrix(E)?0:a.getTypeLength(E);return z>ee&&z>te?x:ee>te?y:te>z?E:x}getNodeType(a){const x=this.method;return x===zn.LENGTH||x===zn.DISTANCE||x===zn.DOT?"float":x===zn.CROSS?"vec3":x===zn.ALL||x===zn.ANY?"bool":x===zn.EQUALS?a.changeComponentType(this.aNode.getNodeType(a),"bool"):this.getInputType(a)}setup(a){const{aNode:x,bNode:y,method:E}=this;let z=null;if(E===zn.ONE_MINUS)z=Io(1,x);else if(E===zn.RECIPROCAL)z=wh(1,x);else if(E===zn.DIFFERENCE)z=_l(Io(x,y));else if(E===zn.TRANSFORM_DIRECTION){let ee=x,te=y;a.isMatrix(ee.getNodeType(a))?te=ns(sn(te),0):ee=ns(sn(ee),0);const ne=Ia(ee,te).xyz;z=Vf(ne)}return z!==null?z:super.setup(a)}generate(a,x){if(a.getNodeProperties(this).outputNode)return super.generate(a,x);let E=this.method;const z=this.getNodeType(a),ee=this.getInputType(a),te=this.aNode,ne=this.bNode,ie=this.cNode,ae=a.renderer.coordinateSystem;if(E===zn.NEGATE)return a.format("( - "+te.build(a,ee)+" )",z,x);{const oe=[];return E===zn.CROSS?oe.push(te.build(a,z),ne.build(a,z)):ae===It&&E===zn.STEP?oe.push(te.build(a,a.getTypeLength(te.getNodeType(a))===1?"float":ee),ne.build(a,ee)):ae===It&&(E===zn.MIN||E===zn.MAX)?oe.push(te.build(a,ee),ne.build(a,a.getTypeLength(ne.getNodeType(a))===1?"float":ee)):E===zn.REFRACT?oe.push(te.build(a,ee),ne.build(a,ee),ie.build(a,"float")):E===zn.MIX?oe.push(te.build(a,ee),ne.build(a,ee),ie.build(a,a.getTypeLength(ie.getNodeType(a))===1?"float":ee)):(ae===bt&&E===zn.ATAN&&ne!==null&&(E="atan2"),a.shaderStage!=="fragment"&&(E===zn.DFDX||E===zn.DFDY)&&(wn(`TSL: '${E}' is not supported in the ${a.shaderStage} stage.`),E="/*"+E+"*/"),oe.push(te.build(a,ee)),ne!==null&&oe.push(ne.build(a,ee)),ie!==null&&oe.push(ie.build(a,ee))),a.format(`${a.getMethod(E,z)}( ${oe.join(", ")} )`,z,x)}}serialize(a){super.serialize(a),a.method=this.method}deserialize(a){super.deserialize(a),this.method=a.method}}zn.ALL="all",zn.ANY="any",zn.RADIANS="radians",zn.DEGREES="degrees",zn.EXP="exp",zn.EXP2="exp2",zn.LOG="log",zn.LOG2="log2",zn.SQRT="sqrt",zn.INVERSE_SQRT="inversesqrt",zn.FLOOR="floor",zn.CEIL="ceil",zn.NORMALIZE="normalize",zn.FRACT="fract",zn.SIN="sin",zn.COS="cos",zn.TAN="tan",zn.ASIN="asin",zn.ACOS="acos",zn.ATAN="atan",zn.ABS="abs",zn.SIGN="sign",zn.LENGTH="length",zn.NEGATE="negate",zn.ONE_MINUS="oneMinus",zn.DFDX="dFdx",zn.DFDY="dFdy",zn.ROUND="round",zn.RECIPROCAL="reciprocal",zn.TRUNC="trunc",zn.FWIDTH="fwidth",zn.TRANSPOSE="transpose",zn.DETERMINANT="determinant",zn.INVERSE="inverse",zn.EQUALS="equals",zn.MIN="min",zn.MAX="max",zn.STEP="step",zn.REFLECT="reflect",zn.DISTANCE="distance",zn.DIFFERENCE="difference",zn.DOT="dot",zn.CROSS="cross",zn.POW="pow",zn.TRANSFORM_DIRECTION="transformDirection",zn.MIX="mix",zn.CLAMP="clamp",zn.REFRACT="refract",zn.SMOOTHSTEP="smoothstep",zn.FACEFORWARD="faceforward";const pP=lt(1e-6),XX=lt(1e6),qE=lt(Math.PI),WX=lt(Math.PI*2),QX=lt(Math.PI*2),ZX=lt(Math.PI*.5),kD=hi(zn,zn.ALL).setParameterLength(1),HD=hi(zn,zn.ANY).setParameterLength(1),UD=hi(zn,zn.RADIANS).setParameterLength(1),jD=hi(zn,zn.DEGREES).setParameterLength(1),mP=hi(zn,zn.EXP).setParameterLength(1),hx=hi(zn,zn.EXP2).setParameterLength(1),_E=hi(zn,zn.LOG).setParameterLength(1),jm=hi(zn,zn.LOG2).setParameterLength(1),jf=hi(zn,zn.SQRT).setParameterLength(1),gP=hi(zn,zn.INVERSE_SQRT).setParameterLength(1),Vm=hi(zn,zn.FLOOR).setParameterLength(1),$E=hi(zn,zn.CEIL).setParameterLength(1),Vf=hi(zn,zn.NORMALIZE).setParameterLength(1),$p=hi(zn,zn.FRACT).setParameterLength(1),Gf=hi(zn,zn.SIN).setParameterLength(1),Gm=hi(zn,zn.COS).setParameterLength(1),VD=hi(zn,zn.TAN).setParameterLength(1),GD=hi(zn,zn.ASIN).setParameterLength(1),vP=hi(zn,zn.ACOS).setParameterLength(1),ew=hi(zn,zn.ATAN).setParameterLength(1,2),_l=hi(zn,zn.ABS).setParameterLength(1),Uy=hi(zn,zn.SIGN).setParameterLength(1),Xm=hi(zn,zn.LENGTH).setParameterLength(1),XD=hi(zn,zn.NEGATE).setParameterLength(1),WD=hi(zn,zn.ONE_MINUS).setParameterLength(1),AP=hi(zn,zn.DFDX).setParameterLength(1),xP=hi(zn,zn.DFDY).setParameterLength(1),QD=hi(zn,zn.ROUND).setParameterLength(1),ZD=hi(zn,zn.RECIPROCAL).setParameterLength(1),yP=hi(zn,zn.TRUNC).setParameterLength(1),bP=hi(zn,zn.FWIDTH).setParameterLength(1),YD=hi(zn,zn.TRANSPOSE).setParameterLength(1),JD=hi(zn,zn.DETERMINANT).setParameterLength(1),KD=hi(zn,zn.INVERSE).setParameterLength(1),qD=(b,a)=>(wn('TSL: "equals" is deprecated. Use "equal" inside a vector instead, like: "bvec*( equal( ... ) )"'),fP(b,a)),Xf=hi(zn,zn.MIN).setParameterLength(2,1/0),du=hi(zn,zn.MAX).setParameterLength(2,1/0),tw=hi(zn,zn.STEP).setParameterLength(2),_D=hi(zn,zn.REFLECT).setParameterLength(2),$D=hi(zn,zn.DISTANCE).setParameterLength(2),e4=hi(zn,zn.DIFFERENCE).setParameterLength(2),em=hi(zn,zn.DOT).setParameterLength(2),Qv=hi(zn,zn.CROSS).setParameterLength(2),rp=hi(zn,zn.POW).setParameterLength(2),EP=b=>Ia(b,b),t4=b=>Ia(b,b,b),wP=b=>Ia(b,b,b,b),n4=hi(zn,zn.TRANSFORM_DIRECTION).setParameterLength(2),r4=b=>Ia(Uy(b),rp(_l(b),1/3)),CP=b=>em(b,b),Qo=hi(zn,zn.MIX).setParameterLength(3),ip=(b,a=0,x=1)=>Sr(new zn(zn.CLAMP,Sr(b),Sr(a),Sr(x))),PP=b=>ip(b),SP=hi(zn,zn.REFRACT).setParameterLength(3),Ch=hi(zn,zn.SMOOTHSTEP).setParameterLength(3),BP=hi(zn,zn.FACEFORWARD).setParameterLength(3),i4=hn(([b])=>{const y=43758.5453,E=em(b.xy,Br(12.9898,78.233)),z=Hy(E,qE);return $p(Gf(z).mul(y))}),s4=(b,a,x)=>Qo(a,x,b),a4=(b,a,x)=>Ch(a,x,b),o4=(b,a)=>tw(a,b),l4=(b,a)=>(wn('TSL: "atan2" is overloaded. Use "atan" instead.'),ew(b,a)),YX=BP,JX=gP;Ar("all",kD),Ar("any",HD),Ar("equals",qD),Ar("radians",UD),Ar("degrees",jD),Ar("exp",mP),Ar("exp2",hx),Ar("log",_E),Ar("log2",jm),Ar("sqrt",jf),Ar("inverseSqrt",gP),Ar("floor",Vm),Ar("ceil",$E),Ar("normalize",Vf),Ar("fract",$p),Ar("sin",Gf),Ar("cos",Gm),Ar("tan",VD),Ar("asin",GD),Ar("acos",vP),Ar("atan",ew),Ar("abs",_l),Ar("sign",Uy),Ar("length",Xm),Ar("lengthSq",CP),Ar("negate",XD),Ar("oneMinus",WD),Ar("dFdx",AP),Ar("dFdy",xP),Ar("round",QD),Ar("reciprocal",ZD),Ar("trunc",yP),Ar("fwidth",bP),Ar("atan2",l4),Ar("min",Xf),Ar("max",du),Ar("step",o4),Ar("reflect",_D),Ar("distance",$D),Ar("dot",em),Ar("cross",Qv),Ar("pow",rp),Ar("pow2",EP),Ar("pow3",t4),Ar("pow4",wP),Ar("transformDirection",n4),Ar("mix",s4),Ar("clamp",ip),Ar("refract",SP),Ar("smoothstep",a4),Ar("faceForward",BP),Ar("difference",e4),Ar("saturate",PP),Ar("cbrt",r4),Ar("transpose",YD),Ar("determinant",JD),Ar("inverse",KD),Ar("rand",i4);class KX extends vs{static get type(){return"ConditionalNode"}constructor(a,x,y=null){super(),this.condNode=a,this.ifNode=x,this.elseNode=y}getNodeType(a){const{ifNode:x,elseNode:y}=a.getNodeProperties(this);if(x===void 0)return a.flowBuildStage(this,"setup"),this.getNodeType(a);const E=x.getNodeType(a);if(y!==null){const z=y.getNodeType(a);if(a.getTypeLength(z)>a.getTypeLength(E))return z}return E}setup(a){const x=this.condNode,y=this.ifNode.isolate(),E=this.elseNode?this.elseNode.isolate():null,z=a.context.nodeBlock;a.getDataFromNode(y).parentNodeBlock=z,E!==null&&(a.getDataFromNode(E).parentNodeBlock=z);const ee=a.context.uniformFlow,te=a.getNodeProperties(this);te.condNode=x,te.ifNode=ee?y:y.context({nodeBlock:y}),te.elseNode=E?ee?E:E.context({nodeBlock:E}):null}generate(a,x){const y=this.getNodeType(a),E=a.getDataFromNode(this);if(E.nodeProperty!==void 0)return E.nodeProperty;const{condNode:z,ifNode:ee,elseNode:te}=a.getNodeProperties(this),ne=a.currentFunctionNode,ie=x!=="void",ae=ie?_p(y).build(a):"";E.nodeProperty=ae;const oe=z.build(a,"bool");if(a.context.uniformFlow&&te!==null){const he=ee.build(a,y),xe=te.build(a,y),ve=a.getTernary(oe,he,xe);return a.format(ve,y,x)}a.addFlowCode(`
${a.tab}if ( ${oe} ) {

`).addFlowTab();let ue=ee.build(a,y);if(ue&&(ie?ue=ae+" = "+ue+";":(ue="return "+ue+";",ne===null&&(wn("TSL: Return statement used in an inline 'Fn()'. Define a layout struct to allow return values."),ue="// "+ue))),a.removeFlowTab().addFlowCode(a.tab+"	"+ue+`

`+a.tab+"}"),te!==null){a.addFlowCode(` else {

`).addFlowTab();let he=te.build(a,y);he&&(ie?he=ae+" = "+he+";":(he="return "+he+";",ne===null&&(wn("TSL: Return statement used in an inline 'Fn()'. Define a layout struct to allow return values."),he="// "+he))),a.removeFlowTab().addFlowCode(a.tab+"	"+he+`

`+a.tab+`}

`)}else a.addFlowCode(`

`);return a.format(ae,y,x)}}const Fc=Sa(KX).setParameterLength(2,3);Ar("select",Fc);class u4 extends vs{static get type(){return"ContextNode"}constructor(a,x={}){super(),this.isContextNode=!0,this.node=a,this.value=x}getScope(){return this.node.getScope()}getNodeType(a){return this.node.getNodeType(a)}getMemberType(a,x){return this.node.getMemberType(a,x)}analyze(a){const x=a.addContext(this.value);this.node.build(a),a.setContext(x)}setup(a){const x=a.addContext(this.value);this.node.build(a),a.setContext(x)}generate(a,x){const y=a.addContext(this.value),E=this.node.build(a,x);return a.setContext(y),E}}const jy=Sa(u4).setParameterLength(1,2),c4=b=>jy(b,{uniformFlow:!0}),MP=(b,a)=>jy(b,{nodeName:a});function d4(b,a){return wn('TSL: "label()" has been deprecated. Use "setName()" instead.'),MP(b,a)}Ar("context",jy),Ar("label",d4),Ar("uniformFlow",c4),Ar("setName",MP);class nw extends vs{static get type(){return"VarNode"}constructor(a,x=null,y=!1){super(),this.node=a,this.name=x,this.global=!0,this.isVarNode=!0,this.readOnly=y,this.parents=!0,this.intent=!1}setIntent(a){return this.intent=a,this}getIntent(){return this.intent}getMemberType(a,x){return this.node.getMemberType(a,x)}getElementType(a){return this.node.getElementType(a)}getNodeType(a){return this.node.getNodeType(a)}getArrayCount(a){return this.node.getArrayCount(a)}isAssign(a){let y=a.getNodeProperties(this).assign;return y!==!0&&this.node.isShaderCallNodeInternal&&this.node.shaderNode.getLayout()===null&&a.fnCall&&a.fnCall.shaderNode&&a.getDataFromNode(this.node.shaderNode).hasLoop&&(y=!0),y}build(...a){const x=a[0];return this._hasStack(x)===!1&&x.buildStage==="setup"&&(x.context.nodeLoop||x.context.nodeBlock)&&x.getBaseStack().addToStack(this),this.intent===!0&&this.isAssign(x)!==!0?this.node.build(...a):super.build(...a)}generate(a){const{node:x,name:y,readOnly:E}=this,{renderer:z}=a,ee=z.backend.isWebGPUBackend===!0;let te=!1,ne=!1;E&&(te=a.isDeterministic(x),ne=ee?E:te);const ie=this.getNodeType(a);if(ie=="void")return this.intent!==!0&&cr('TSL: ".toVar()" can not be used with void type.'),x.build(a);const ae=a.getVectorType(ie),oe=x.build(a,ae),le=a.getVarFromNode(this,y,ae,void 0,ne),ue=a.getPropertyName(le);let he=ue;if(ne)if(ee)he=te?`const ${ue}`:`let ${ue}`;else{const xe=x.getArrayCount(a);he=`const ${a.getVar(le.type,ue,xe)}`}return a.addLineFlowCode(`${he} = ${oe}`,this),ue}_hasStack(a){return a.getDataFromNode(this).stack!==void 0}}const TP=Sa(nw),f4=(b,a=null)=>TP(b,a).toStack(),h4=(b,a=null)=>TP(b,a,!0).toStack(),p4=b=>TP(b).setIntent(!0).toStack();Ar("toVar",f4),Ar("toConst",h4),Ar("toVarIntent",p4);class qX extends vs{static get type(){return"SubBuild"}constructor(a,x,y=null){super(y),this.node=a,this.name=x,this.isSubBuildNode=!0}getNodeType(a){if(this.nodeType!==null)return this.nodeType;a.addSubBuild(this.name);const x=this.node.getNodeType(a);return a.removeSubBuild(),x}build(a,...x){a.addSubBuild(this.name);const y=this.node.build(a,...x);return a.removeSubBuild(),y}}const px=(b,a,x=null)=>Sr(new qX(Sr(b),a,x));class _X extends vs{static get type(){return"VaryingNode"}constructor(a,x=null){super(),this.node=a,this.name=x,this.isVaryingNode=!0,this.interpolationType=null,this.interpolationSampling=null,this.global=!0}setInterpolation(a,x=null){return this.interpolationType=a,this.interpolationSampling=x,this}getHash(a){return this.name||super.getHash(a)}getNodeType(a){return this.node.getNodeType(a)}setupVarying(a){const x=a.getNodeProperties(this);let y=x.varying;if(y===void 0){const E=this.name,z=this.getNodeType(a),ee=this.interpolationType,te=this.interpolationSampling;x.varying=y=a.getVaryingFromNode(this,E,z,ee,te),x.node=px(this.node,"VERTEX")}return y.needsInterpolation||(y.needsInterpolation=a.shaderStage==="fragment"),y}setup(a){this.setupVarying(a),a.flowNodeFromShaderStage(By.VERTEX,this.node)}analyze(a){this.setupVarying(a),a.flowNodeFromShaderStage(By.VERTEX,this.node)}generate(a){const x=a.getSubBuildProperty("property",a.currentStack),y=a.getNodeProperties(this),E=this.setupVarying(a);if(y[x]===void 0){const z=this.getNodeType(a),ee=a.getPropertyName(E,By.VERTEX);a.flowNodeFromShaderStage(By.VERTEX,y.node,z,ee),y[x]=ee}return a.getPropertyName(E)}}const Wm=Sa(_X).setParameterLength(1,2),m4=b=>Wm(b);Ar("toVarying",Wm),Ar("toVertexStage",m4),Ar("varying",(...b)=>(wn("TSL: .varying() has been renamed to .toVarying()."),Wm(...b))),Ar("vertexStage",(...b)=>(wn("TSL: .vertexStage() has been renamed to .toVertexStage()."),Wm(...b)));const g4=hn(([b])=>{const a=b.mul(.9478672986).add(.0521327014).pow(2.4),x=b.mul(.0773993808),y=b.lessThanEqual(.04045);return Qo(a,x,y)}).setLayout({name:"sRGBTransferEOTF",type:"vec3",inputs:[{name:"color",type:"vec3"}]}),v4=hn(([b])=>{const a=b.pow(.41666).mul(1.055).sub(.055),x=b.mul(12.92),y=b.lessThanEqual(.0031308);return Qo(a,x,y)}).setLayout({name:"sRGBTransferOETF",type:"vec3",inputs:[{name:"color",type:"vec3"}]}),DP="WorkingColorSpace",$X="OutputColorSpace";class IP extends Ju{static get type(){return"ColorSpaceNode"}constructor(a,x,y){super("vec4"),this.colorNode=a,this.source=x,this.target=y}resolveColorSpace(a,x){return x===DP?ba.workingColorSpace:x===$X?a.context.outputColorSpace||a.renderer.outputColorSpace:x}setup(a){const{colorNode:x}=this,y=this.resolveColorSpace(a,this.source),E=this.resolveColorSpace(a,this.target);let z=x;return ba.enabled===!1||y===E||!y||!E||(ba.getTransfer(y)===kt&&(z=ns(g4(z.rgb),z.a)),ba.getPrimaries(y)!==ba.getPrimaries(E)&&(z=ns(_d(ba._getMatrix(new ro,y,E)).mul(z.rgb),z.a)),ba.getTransfer(E)===kt&&(z=ns(v4(z.rgb),z.a))),z}}const A4=(b,a)=>Sr(new IP(Sr(b),DP,a)),rw=(b,a)=>Sr(new IP(Sr(b),a,DP)),eW=(b,a,x)=>Sr(new IP(Sr(b),a,x));Ar("workingToColorSpace",A4),Ar("colorSpaceToWorking",rw);let tW=class extends Uv{static get type(){return"ReferenceElementNode"}constructor(a,x){super(a,x),this.referenceNode=a,this.isReferenceElementNode=!0}getNodeType(){return this.referenceNode.uniformType}generate(a){const x=super.generate(a),y=this.referenceNode.getNodeType(),E=this.getNodeType();return a.format(x,y,E)}};class x4 extends vs{static get type(){return"ReferenceBaseNode"}constructor(a,x,y=null,E=null){super(),this.property=a,this.uniformType=x,this.object=y,this.count=E,this.properties=a.split("."),this.reference=y,this.node=null,this.group=null,this.updateType=Ua.OBJECT}setGroup(a){return this.group=a,this}element(a){return Sr(new tW(this,Sr(a)))}setNodeType(a){const x=Ds(null,a);this.group!==null&&x.setGroup(this.group),this.node=x}getNodeType(a){return this.node===null&&(this.updateReference(a),this.updateValue()),this.node.getNodeType(a)}getValueFromReference(a=this.reference){const{properties:x}=this;let y=a[x[0]];for(let E=1;E<x.length;E++)y=y[x[E]];return y}updateReference(a){return this.reference=this.object!==null?this.object:a.object,this.reference}setup(){return this.updateValue(),this.node}update(){this.updateValue()}updateValue(){this.node===null&&this.setNodeType(this.uniformType);const a=this.getValueFromReference();Array.isArray(a)?this.node.array=a:this.node.value=a}}const nW=(b,a,x)=>Sr(new x4(b,a,x));class rW extends x4{static get type(){return"RendererReferenceNode"}constructor(a,x,y=null){super(a,x,y),this.renderer=y,this.setGroup(Hs)}updateReference(a){return this.reference=this.renderer!==null?this.renderer:a.renderer,this.reference}}const y4=(b,a,x=null)=>Sr(new rW(b,a,x));class iW extends Ju{static get type(){return"ToneMappingNode"}constructor(a,x=E4,y=null){super("vec3"),this._toneMapping=a,this.exposureNode=x,this.colorNode=y}customCacheKey(){return ux(this._toneMapping)}setToneMapping(a){return this._toneMapping=a,this}getToneMapping(){return this._toneMapping}setup(a){const x=this.colorNode||a.context.color,y=this._toneMapping;if(y===ks)return x;let E=null;const z=a.renderer.library.getToneMappingFunction(y);return z!==null?E=ns(z(x.rgb,this.exposureNode),x.a):(cr("ToneMappingNode: Unsupported Tone Mapping configuration.",y),E=x),E}}const b4=(b,a,x)=>Sr(new iW(b,Sr(a),Sr(x))),E4=y4("toneMappingExposure","float");Ar("toneMapping",(b,a,x)=>b4(a,x,b));class sW extends K2{static get type(){return"BufferAttributeNode"}constructor(a,x=null,y=0,E=0){super(a,x),this.isBufferNode=!0,this.bufferType=x,this.bufferStride=y,this.bufferOffset=E,this.usage=cu,this.instanced=!1,this.attribute=null,this.global=!0,a&&a.isBufferAttribute===!0&&(this.attribute=a,this.usage=a.usage,this.instanced=a.isInstancedBufferAttribute)}getHash(a){if(this.bufferStride===0&&this.bufferOffset===0){let x=a.globalCache.getData(this.value);return x===void 0&&(x={node:this},a.globalCache.setData(this.value,x)),x.node.uuid}return this.uuid}getNodeType(a){return this.bufferType===null&&(this.bufferType=a.getTypeFromAttribute(this.attribute)),this.bufferType}setup(a){if(this.attribute!==null)return;const x=this.getNodeType(a),y=this.value,E=a.getTypeLength(x),z=this.bufferStride||E,ee=this.bufferOffset,te=y.isInterleavedBuffer===!0?y:new N1(y,z),ne=new bv(te,E,ee);te.setUsage(this.usage),this.attribute=ne,this.attribute.isInstancedBufferAttribute=this.instanced}generate(a){const x=this.getNodeType(a),y=a.getBufferAttributeFromNode(this,x),E=a.getPropertyName(y);let z=null;return a.shaderStage==="vertex"||a.shaderStage==="compute"?(this.name=E,z=E):z=Wm(this).build(a,x),z}getInputType(){return"bufferAttribute"}setUsage(a){return this.usage=a,this.attribute&&this.attribute.isBufferAttribute===!0&&(this.attribute.usage=a),this}setInstanced(a){return this.instanced=a,this}}const Vy=(b,a=null,x=0,y=0)=>Sr(new sW(b,a,x,y)),w4=(b,a=null,x=0,y=0)=>Vy(b,a,x,y).setUsage(ge),iw=(b,a=null,x=0,y=0)=>Vy(b,a,x,y).setInstanced(!0),NP=(b,a=null,x=0,y=0)=>w4(b,a,x,y).setInstanced(!0);Ar("toAttribute",b=>Vy(b.value));class aW extends vs{static get type(){return"ComputeNode"}constructor(a,x){super("void"),this.isComputeNode=!0,this.computeNode=a,this.workgroupSize=x,this.count=null,this.version=1,this.name="",this.updateBeforeType=Ua.OBJECT,this.onInitFunction=null}setCount(a){return this.count=a,this}getCount(){return this.count}dispose(){this.dispatchEvent({type:"dispose"})}setName(a){return this.name=a,this}label(a){return wn('TSL: "label()" has been deprecated. Use "setName()" instead.'),this.setName(a)}onInit(a){return this.onInitFunction=a,this}updateBefore({renderer:a}){a.compute(this)}setup(a){const x=this.computeNode.build(a);if(x){const y=a.getNodeProperties(this);y.outputComputeNode=x.outputNode,x.outputNode=null}return x}generate(a,x){const{shaderStage:y}=a;if(y==="compute"){const E=this.computeNode.build(a,"void");E!==""&&a.addLineFlowCode(E,this)}else{const z=a.getNodeProperties(this).outputComputeNode;if(z)return z.build(a,x)}}}const FP=(b,a=[64])=>{(a.length===0||a.length>3)&&cr("TSL: compute() workgroupSize must have 1, 2, or 3 elements");for(let x=0;x<a.length;x++){const y=a[x];(typeof y!="number"||y<=0||!Number.isInteger(y))&&cr(`TSL: compute() workgroupSize element at index [ ${x} ] must be a positive integer`)}for(;a.length<3;)a.push(1);return Sr(new aW(Sr(b),a))},C4=(b,a,x)=>FP(b,x).setCount(a);Ar("compute",C4),Ar("computeKernel",FP);class oW extends vs{static get type(){return"IsolateNode"}constructor(a,x=!0){super(),this.node=a,this.parent=x,this.isIsolateNode=!0}getNodeType(a){const x=a.getCache(),y=a.getCacheFromNode(this,this.parent);a.setCache(y);const E=this.node.getNodeType(a);return a.setCache(x),E}build(a,...x){const y=a.getCache(),E=a.getCacheFromNode(this,this.parent);a.setCache(E);const z=this.node.build(a,...x);return a.setCache(y),z}setParent(a){return this.parent=a,this}getParent(){return this.parent}}const mx=b=>new oW(Sr(b));function P4(b,a=!0){return wn('TSL: "cache()" has been deprecated. Use "isolate()" instead.'),mx(b).setParent(a)}Ar("cache",P4),Ar("isolate",mx);class lW extends vs{static get type(){return"BypassNode"}constructor(a,x){super(),this.isBypassNode=!0,this.outputNode=a,this.callNode=x}getNodeType(a){return this.outputNode.getNodeType(a)}generate(a){const x=this.callNode.build(a,"void");return x!==""&&a.addLineFlowCode(x,this),this.outputNode.build(a)}}const S4=Sa(lW).setParameterLength(2);Ar("bypass",S4);class B4 extends vs{static get type(){return"RemapNode"}constructor(a,x,y,E=lt(0),z=lt(1)){super(),this.node=a,this.inLowNode=x,this.inHighNode=y,this.outLowNode=E,this.outHighNode=z,this.doClamp=!0}setup(){const{node:a,inLowNode:x,inHighNode:y,outLowNode:E,outHighNode:z,doClamp:ee}=this;let te=a.sub(x).div(y.sub(x));return ee===!0&&(te=te.clamp()),te.mul(z.sub(E)).add(E)}}const M4=Sa(B4,null,null,{doClamp:!1}).setParameterLength(3,5),T4=Sa(B4).setParameterLength(3,5);Ar("remap",M4),Ar("remapClamp",T4);class sw extends vs{static get type(){return"ExpressionNode"}constructor(a="",x="void"){super(x),this.snippet=a}generate(a,x){const y=this.getNodeType(a),E=this.snippet;if(y==="void")a.addLineFlowCode(E,this);else return a.format(E,y,x)}}const Yg=Sa(sw).setParameterLength(1,2),D4=b=>(b?Fc(b,Yg("discard")):Yg("discard")).toStack(),uW=()=>Yg("return").toStack();Ar("discard",D4);class cW extends Ju{static get type(){return"RenderOutputNode"}constructor(a,x,y){super("vec4"),this.colorNode=a,this._toneMapping=x,this.outputColorSpace=y,this.isRenderOutputNode=!0}setToneMapping(a){return this._toneMapping=a,this}getToneMapping(){return this._toneMapping}setup({context:a}){let x=this.colorNode||a.color;const y=(this._toneMapping!==null?this._toneMapping:a.toneMapping)||ks,E=(this.outputColorSpace!==null?this.outputColorSpace:a.outputColorSpace)||Je;return y!==ks&&(x=x.toneMapping(y)),E!==Je&&E!==ba.workingColorSpace&&(x=x.workingToColorSpace(E)),x}}const LP=(b,a=null,x=null)=>Sr(new cW(Sr(b),a,x));Ar("renderOutput",LP);class dW extends Ju{static get type(){return"DebugNode"}constructor(a,x=null){super(),this.node=a,this.callback=x}getNodeType(a){return this.node.getNodeType(a)}setup(a){return this.node.build(a)}analyze(a){return this.node.build(a)}generate(a){const x=this.callback,y=this.node.build(a),E="--- TSL debug - "+a.shaderStage+" shader ---",z="-".repeat(E.length);let ee="";return ee+="// #"+E+`#
`,ee+=a.flow.code.replace(/^\t/mg,"")+`
`,ee+="/* ... */ "+y+` /* ... */
`,ee+="// #"+z+`#
`,x!==null?x(a,ee):Ul(ee),y}}const I4=(b,a=null)=>Sr(new dW(Sr(b),a)).toStack();Ar("debug",I4);class N4{constructor(){this._renderer=null,this.currentFrame=null}get nodeFrame(){return this._renderer._nodes.nodeFrame}setRenderer(a){return this._renderer=a,this}getRenderer(){return this._renderer}init(){}begin(){}finish(){}inspect(){}computeAsync(){}beginCompute(){}finishCompute(){}beginRender(){}finishRender(){}copyTextureToTexture(){}copyFramebufferToTexture(){}}class fW extends vs{static get type(){return"InspectorNode"}constructor(a,x="",y=null){super(),this.node=a,this.name=x,this.callback=y,this.updateType=Ua.FRAME,this.isInspectorNode=!0}getName(){return this.name||this.node.name}update(a){a.renderer.inspector.inspect(this)}getNodeType(a){return this.node.getNodeType(a)}setup(a){let x=this.node;return a.context.inspector===!0&&this.callback!==null&&(x=this.callback(x)),a.renderer.backend.isWebGPUBackend!==!0&&a.renderer.inspector.constructor!==N4&&no('TSL: ".toInspector()" is only available with WebGPU.'),x}}function F4(b,a="",x=null){return b=Sr(b),b.before(new fW(b,a,x))}Ar("toInspector",F4);function hW(b){wn("TSL: AddNodeElement has been removed in favor of tree-shaking. Trying add",b)}class L4 extends vs{static get type(){return"AttributeNode"}constructor(a,x=null){super(x),this.global=!0,this._attributeName=a}getHash(a){return this.getAttributeName(a)}getNodeType(a){let x=this.nodeType;if(x===null){const y=this.getAttributeName(a);if(a.hasGeometryAttribute(y)){const E=a.geometry.getAttribute(y);x=a.getTypeFromAttribute(E)}else x="float"}return x}setAttributeName(a){return this._attributeName=a,this}getAttributeName(){return this._attributeName}generate(a){const x=this.getAttributeName(a),y=this.getNodeType(a);if(a.hasGeometryAttribute(x)===!0){const z=a.geometry.getAttribute(x),ee=a.getTypeFromAttribute(z),te=a.getAttribute(x,ee);return a.shaderStage==="vertex"?a.format(te.name,ee,y):Wm(this).build(a,y)}else return wn(`AttributeNode: Vertex attribute "${x}" not found on geometry.`),a.generateConst(y)}serialize(a){super.serialize(a),a.global=this.global,a._attributeName=this._attributeName}deserialize(a){super.deserialize(a),this.global=a.global,this._attributeName=a._attributeName}}const wf=(b,a=null)=>Sr(new L4(b,a)),Pl=(b=0)=>wf("uv"+(b>0?b:""),"vec2");class pW extends vs{static get type(){return"TextureSizeNode"}constructor(a,x=null){super("uvec2"),this.isTextureSizeNode=!0,this.textureNode=a,this.levelNode=x}generate(a,x){const y=this.textureNode.build(a,"property"),E=this.levelNode===null?"0":this.levelNode.build(a,"int");return a.format(`${a.getMethod("textureDimensions")}( ${y}, ${E} )`,this.getNodeType(a),x)}}const Jg=Sa(pW).setParameterLength(1,2);class mW extends ky{static get type(){return"MaxMipLevelNode"}constructor(a){super(0),this._textureNode=a,this.updateType=Ua.FRAME}get textureNode(){return this._textureNode}get texture(){return this._textureNode.value}update(){const a=this.texture,x=a.images,y=x&&x.length>0?x[0]&&x[0].image||x[0]:a.image;if(y&&y.width!==void 0){const{width:E,height:z}=y;this.value=Math.log2(Math.max(E,z))}}}const RP=Sa(mW).setParameterLength(1),OP=new mc;class Qm extends ky{static get type(){return"TextureNode"}constructor(a=OP,x=null,y=null,E=null){super(a),this.isTextureNode=!0,this.uvNode=x,this.levelNode=y,this.biasNode=E,this.compareNode=null,this.depthNode=null,this.gradNode=null,this.offsetNode=null,this.sampler=!0,this.updateMatrix=!1,this.updateType=Ua.NONE,this.referenceNode=null,this._value=a,this._matrixUniform=null,this._flipYUniform=null,this.setUpdateMatrix(x===null)}set value(a){this.referenceNode?this.referenceNode.value=a:this._value=a}get value(){return this.referenceNode?this.referenceNode.value:this._value}getUniformHash(){return this.value.uuid}getNodeType(){return this.value.isDepthTexture===!0?"float":this.value.type===fl?"uvec4":this.value.type===pu?"ivec4":"vec4"}getInputType(){return"texture"}getDefaultUV(){return Pl(this.value.channel)}updateReference(){return this.value}getTransformedUV(a){return this._matrixUniform===null&&(this._matrixUniform=Ds(this.value.matrix)),this._matrixUniform.mul(sn(a,1)).xy}setUpdateMatrix(a){return this.updateMatrix=a,this}setupUV(a,x){return a.isFlipY()&&(this._flipYUniform===null&&(this._flipYUniform=Ds(!1)),x=x.toVar(),this.sampler?x=this._flipYUniform.select(x.flipY(),x):x=this._flipYUniform.select(x.setY(Jt(Jg(this,this.levelNode).y).sub(x.y).sub(1)),x)),x}setup(a){const x=a.getNodeProperties(this);x.referenceNode=this.referenceNode;const y=this.value;if(!y||y.isTexture!==!0)throw new Error("THREE.TSL: `texture( value )` function expects a valid instance of THREE.Texture().");const E=hn(()=>{let ee=this.uvNode;return(ee===null||a.context.forceUVContext===!0)&&a.context.getUV&&(ee=a.context.getUV(this,a)),ee||(ee=this.getDefaultUV()),this.updateMatrix===!0&&(ee=this.getTransformedUV(ee)),ee=this.setupUV(a,ee),this.updateType=this._matrixUniform!==null||this._flipYUniform!==null?Ua.OBJECT:Ua.NONE,ee})();let z=this.levelNode;z===null&&a.context.getTextureLevel&&(z=a.context.getTextureLevel(this)),x.uvNode=E,x.levelNode=z,x.biasNode=this.biasNode,x.compareNode=this.compareNode,x.gradNode=this.gradNode,x.depthNode=this.depthNode,x.offsetNode=this.offsetNode}generateUV(a,x){return x.build(a,this.sampler===!0?"vec2":"ivec2")}generateOffset(a,x){return x.build(a,"ivec2")}generateSnippet(a,x,y,E,z,ee,te,ne,ie){const ae=this.value;let oe;return z?oe=a.generateTextureBias(ae,x,y,z,ee,ie):ne?oe=a.generateTextureGrad(ae,x,y,ne,ee,ie):te?oe=a.generateTextureCompare(ae,x,y,te,ee,ie):this.sampler===!1?oe=a.generateTextureLoad(ae,x,y,E,ee,ie):E?oe=a.generateTextureLevel(ae,x,y,E,ee,ie):oe=a.generateTexture(ae,x,y,ee,ie),oe}generate(a,x){const y=this.value,E=a.getNodeProperties(this),z=super.generate(a,"property");if(/^sampler/.test(x))return z+"_sampler";if(a.isReference(x))return z;{const ee=a.getDataFromNode(this);let te=ee.propertyName;if(te===void 0){const{uvNode:ae,levelNode:oe,biasNode:le,compareNode:ue,depthNode:he,gradNode:xe,offsetNode:ve}=E,me=this.generateUV(a,ae),Pe=oe?oe.build(a,"float"):null,we=le?le.build(a,"float"):null,Me=he?he.build(a,"int"):null,Le=ue?ue.build(a,"float"):null,De=xe?[xe[0].build(a,"vec2"),xe[1].build(a,"vec2")]:null,ke=ve?this.generateOffset(a,ve):null,ze=a.getVarFromNode(this);te=a.getPropertyName(ze);const He=this.generateSnippet(a,z,me,Pe,we,Me,Le,De,ke);a.addLineFlowCode(`${te} = ${He}`,this),ee.snippet=He,ee.propertyName=te}let ne=te;const ie=this.getNodeType(a);return a.needsToWorkingColorSpace(y)&&(ne=rw(Yg(ne,ie),y.colorSpace).setup(a).build(a,ie)),a.format(ne,ie,x)}}setSampler(a){return this.sampler=a,this}getSampler(){return this.sampler}uv(a){return wn("TextureNode: .uv() has been renamed. Use .sample() instead."),this.sample(a)}sample(a){const x=this.clone();return x.uvNode=Sr(a),x.referenceNode=this.getBase(),Sr(x)}load(a){return this.sample(a).setSampler(!1)}blur(a){const x=this.clone();x.biasNode=Sr(a).mul(RP(x)),x.referenceNode=this.getBase();const y=x.value;return x.generateMipmaps===!1&&(y&&y.generateMipmaps===!1||y.minFilter===Do||y.magFilter===Do)&&(wn("TSL: texture().blur() requires mipmaps and sampling. Use .generateMipmaps=true and .minFilter/.magFilter=THREE.LinearFilter in the Texture."),x.biasNode=null),Sr(x)}level(a){const x=this.clone();return x.levelNode=Sr(a),x.referenceNode=this.getBase(),Sr(x)}size(a){return Jg(this,a)}bias(a){const x=this.clone();return x.biasNode=Sr(a),x.referenceNode=this.getBase(),Sr(x)}getBase(){return this.referenceNode?this.referenceNode.getBase():this}compare(a){const x=this.clone();return x.compareNode=Sr(a),x.referenceNode=this.getBase(),Sr(x)}grad(a,x){const y=this.clone();return y.gradNode=[Sr(a),Sr(x)],y.referenceNode=this.getBase(),Sr(y)}depth(a){const x=this.clone();return x.depthNode=Sr(a),x.referenceNode=this.getBase(),Sr(x)}offset(a){const x=this.clone();return x.offsetNode=Sr(a),x.referenceNode=this.getBase(),Sr(x)}serialize(a){super.serialize(a),a.value=this.value.toJSON(a.meta).uuid,a.sampler=this.sampler,a.updateMatrix=this.updateMatrix,a.updateType=this.updateType}deserialize(a){super.deserialize(a),this.value=a.meta.textures[a.value],this.sampler=a.sampler,this.updateMatrix=a.updateMatrix,this.updateType=a.updateType}update(){const a=this.value,x=this._matrixUniform;x!==null&&(x.value=a.matrix),a.matrixAutoUpdate===!0&&a.updateMatrix();const y=this._flipYUniform;y!==null&&(y.value=a.image instanceof ImageBitmap&&a.flipY===!0||a.isRenderTargetTexture===!0||a.isFramebufferTexture===!0||a.isDepthTexture===!0)}clone(){const a=new this.constructor(this.value,this.uvNode,this.levelNode,this.biasNode);return a.sampler=this.sampler,a.depthNode=this.depthNode,a.compareNode=this.compareNode,a.gradNode=this.gradNode,a.offsetNode=this.offsetNode,a}}const gW=Sa(Qm).setParameterLength(1,4).setName("texture"),go=(b=OP,a=null,x=null,y=null)=>{let E;return b&&b.isTextureNode===!0?(E=Sr(b.clone()),E.referenceNode=b.getBase(),a!==null&&(E.uvNode=Sr(a)),x!==null&&(E.levelNode=Sr(x)),y!==null&&(E.biasNode=Sr(y))):E=gW(b,a,x,y),E},vW=(b=OP)=>go(b),Hu=(...b)=>go(...b).setSampler(!1),AW=(b,a,x)=>go(b,a).level(x),xW=b=>(b.isNode===!0?b:go(b)).convert("sampler"),yW=b=>(b.isNode===!0?b:go(b)).convert("samplerComparison");class zP extends ky{static get type(){return"BufferNode"}constructor(a,x,y=0){super(a,x),this.isBufferNode=!0,this.bufferType=x,this.bufferCount=y}getElementType(a){return this.getNodeType(a)}getInputType(){return"buffer"}}const Gy=(b,a,x)=>Sr(new zP(b,a,x));class bW extends Uv{static get type(){return"UniformArrayElementNode"}constructor(a,x){super(a,x),this.isArrayBufferElementNode=!0}generate(a){const x=super.generate(a),y=this.getNodeType(),E=this.node.getPaddedType();return a.format(x,E,y)}}class EW extends zP{static get type(){return"UniformArrayNode"}constructor(a,x=null){super(null),this.array=a,this.elementType=x===null?Zg(a[0]):x,this.paddedType=this.getPaddedType(),this.updateType=Ua.RENDER,this.isArrayBufferNode=!0}getNodeType(){return this.paddedType}getElementType(){return this.elementType}getPaddedType(){const a=this.elementType;let x="vec4";return a==="mat2"?x="mat2":/mat/.test(a)===!0?x="mat4":a.charAt(0)==="i"?x="ivec4":a.charAt(0)==="u"&&(x="uvec4"),x}update(){const{array:a,value:x}=this,y=this.elementType;if(y==="float"||y==="int"||y==="uint")for(let E=0;E<a.length;E++){const z=E*4;x[z]=a[E]}else if(y==="color")for(let E=0;E<a.length;E++){const z=E*4,ee=a[E];x[z]=ee.r,x[z+1]=ee.g,x[z+2]=ee.b||0}else if(y==="mat2")for(let E=0;E<a.length;E++){const z=E*4,ee=a[E];x[z]=ee.elements[0],x[z+1]=ee.elements[1],x[z+2]=ee.elements[2],x[z+3]=ee.elements[3]}else if(y==="mat3")for(let E=0;E<a.length;E++){const z=E*16,ee=a[E];x[z]=ee.elements[0],x[z+1]=ee.elements[1],x[z+2]=ee.elements[2],x[z+4]=ee.elements[3],x[z+5]=ee.elements[4],x[z+6]=ee.elements[5],x[z+8]=ee.elements[6],x[z+9]=ee.elements[7],x[z+10]=ee.elements[8],x[z+15]=1}else if(y==="mat4")for(let E=0;E<a.length;E++){const z=E*16,ee=a[E];for(let te=0;te<ee.elements.length;te++)x[z+te]=ee.elements[te]}else for(let E=0;E<a.length;E++){const z=E*4,ee=a[E];x[z]=ee.x,x[z+1]=ee.y,x[z+2]=ee.z||0,x[z+3]=ee.w||0}}setup(a){const x=this.array.length,y=this.elementType;let E=Float32Array;const z=this.paddedType,ee=a.getTypeLength(z);return y.charAt(0)==="i"&&(E=Int32Array),y.charAt(0)==="u"&&(E=Uint32Array),this.value=new E(x*ee),this.bufferCount=x,this.bufferType=z,super.setup(a)}element(a){return Sr(new bW(this,Sr(a)))}}const $d=(b,a)=>Sr(new EW(b,a));class wW extends vs{constructor(a){super("float"),this.name=a,this.isBuiltinNode=!0}generate(){return this.name}}const Kg=Sa(wW).setParameterLength(1);let Xy,Wy;class nu extends vs{static get type(){return"ScreenNode"}constructor(a){super(),this.scope=a,this._output=null,this.isViewportNode=!0}getNodeType(){return this.scope===nu.DPR?"float":this.scope===nu.VIEWPORT?"vec4":"vec2"}getUpdateType(){let a=Ua.NONE;return(this.scope===nu.SIZE||this.scope===nu.VIEWPORT||this.scope===nu.DPR)&&(a=Ua.RENDER),this.updateType=a,a}update({renderer:a}){const x=a.getRenderTarget();this.scope===nu.VIEWPORT?x!==null?Wy.copy(x.viewport):(a.getViewport(Wy),Wy.multiplyScalar(a.getPixelRatio())):this.scope===nu.DPR?this._output.value=a.getPixelRatio():x!==null?(Xy.width=x.width,Xy.height=x.height):a.getDrawingBufferSize(Xy)}setup(){const a=this.scope;let x=null;return a===nu.SIZE?x=Ds(Xy||(Xy=new ar)):a===nu.VIEWPORT?x=Ds(Wy||(Wy=new la)):a===nu.DPR?x=Ds(1):x=Br(Qy.div(Zv)),this._output=x,x}generate(a){if(this.scope===nu.COORDINATE){let x=a.getFragCoord();if(a.isFlipY()){const y=a.getNodeProperties(Zv).outputNode.build(a);x=`${a.getType("vec2")}( ${x}.x, ${y}.y - ${x}.y )`}return x}return super.generate(a)}}nu.COORDINATE="coordinate",nu.VIEWPORT="viewport",nu.SIZE="size",nu.UV="uv",nu.DPR="dpr";const R4=wi(nu,nu.DPR),qg=wi(nu,nu.UV),Zv=wi(nu,nu.SIZE),Qy=wi(nu,nu.COORDINATE),gx=wi(nu,nu.VIEWPORT),kP=gx.zw,O4=Qy.sub(gx.xy),CW=O4.div(kP),PW=hn(()=>(wn('TSL: "viewportResolution" is deprecated. Use "screenSize" instead.'),Zv),"vec2").once()(),V0=Ds(0,"uint").setName("u_cameraIndex").setGroup(KE("cameraIndex")).toVarying("v_cameraIndex"),_g=Ds("float").setName("cameraNear").setGroup(Hs).onRenderUpdate(({camera:b})=>b.near),$g=Ds("float").setName("cameraFar").setGroup(Hs).onRenderUpdate(({camera:b})=>b.far),sp=hn(({camera:b})=>{let a;if(b.isArrayCamera&&b.cameras.length>0){const x=[];for(const E of b.cameras)x.push(E.projectionMatrix);a=$d(x).setGroup(Hs).setName("cameraProjectionMatrices").element(b.isMultiViewCamera?Kg("gl_ViewID_OVR"):V0).toConst("cameraProjectionMatrix")}else a=Ds("mat4").setName("cameraProjectionMatrix").setGroup(Hs).onRenderUpdate(({camera:x})=>x.projectionMatrix);return a}).once()(),SW=hn(({camera:b})=>{let a;if(b.isArrayCamera&&b.cameras.length>0){const x=[];for(const E of b.cameras)x.push(E.projectionMatrixInverse);a=$d(x).setGroup(Hs).setName("cameraProjectionMatricesInverse").element(b.isMultiViewCamera?Kg("gl_ViewID_OVR"):V0).toConst("cameraProjectionMatrixInverse")}else a=Ds("mat4").setName("cameraProjectionMatrixInverse").setGroup(Hs).onRenderUpdate(({camera:x})=>x.projectionMatrixInverse);return a}).once()(),Ph=hn(({camera:b})=>{let a;if(b.isArrayCamera&&b.cameras.length>0){const x=[];for(const E of b.cameras)x.push(E.matrixWorldInverse);a=$d(x).setGroup(Hs).setName("cameraViewMatrices").element(b.isMultiViewCamera?Kg("gl_ViewID_OVR"):V0).toConst("cameraViewMatrix")}else a=Ds("mat4").setName("cameraViewMatrix").setGroup(Hs).onRenderUpdate(({camera:x})=>x.matrixWorldInverse);return a}).once()(),BW=hn(({camera:b})=>{let a;if(b.isArrayCamera&&b.cameras.length>0){const x=[];for(const E of b.cameras)x.push(E.matrixWorld);a=$d(x).setGroup(Hs).setName("cameraWorldMatrices").element(b.isMultiViewCamera?Kg("gl_ViewID_OVR"):V0).toConst("cameraWorldMatrix")}else a=Ds("mat4").setName("cameraWorldMatrix").setGroup(Hs).onRenderUpdate(({camera:x})=>x.matrixWorld);return a}).once()(),MW=hn(({camera:b})=>{let a;if(b.isArrayCamera&&b.cameras.length>0){const x=[];for(const E of b.cameras)x.push(E.normalMatrix);a=$d(x).setGroup(Hs).setName("cameraNormalMatrices").element(b.isMultiViewCamera?Kg("gl_ViewID_OVR"):V0).toConst("cameraNormalMatrix")}else a=Ds("mat3").setName("cameraNormalMatrix").setGroup(Hs).onRenderUpdate(({camera:x})=>x.normalMatrix);return a}).once()(),Zy=hn(({camera:b})=>{let a;if(b.isArrayCamera&&b.cameras.length>0){const x=[];for(let E=0,z=b.cameras.length;E<z;E++)x.push(new ft);a=$d(x).setGroup(Hs).setName("cameraPositions").onRenderUpdate(({camera:E},z)=>{const ee=E.cameras,te=z.array;for(let ne=0,ie=ee.length;ne<ie;ne++)te[ne].setFromMatrixPosition(ee[ne].matrixWorld)}).element(b.isMultiViewCamera?Kg("gl_ViewID_OVR"):V0).toConst("cameraPosition")}else a=Ds(new ft).setName("cameraPosition").setGroup(Hs).onRenderUpdate(({camera:x},y)=>y.value.setFromMatrixPosition(x.matrixWorld));return a}).once()(),TW=hn(({camera:b})=>{let a;if(b.isArrayCamera&&b.cameras.length>0){const x=[];for(const E of b.cameras)x.push(E.viewport);a=$d(x,"vec4").setGroup(Hs).setName("cameraViewports").element(V0).toConst("cameraViewport")}else a=ns(0,0,Zv.x,Zv.y).toConst("cameraViewport");return a}).once()(),z4=new Cd;class Oo extends vs{static get type(){return"Object3DNode"}constructor(a,x=null){super(),this.scope=a,this.object3d=x,this.updateType=Ua.OBJECT,this.uniformNode=new ky(null)}getNodeType(){const a=this.scope;if(a===Oo.WORLD_MATRIX)return"mat4";if(a===Oo.POSITION||a===Oo.VIEW_POSITION||a===Oo.DIRECTION||a===Oo.SCALE)return"vec3";if(a===Oo.RADIUS)return"float"}update(a){const x=this.object3d,y=this.uniformNode,E=this.scope;if(E===Oo.WORLD_MATRIX)y.value=x.matrixWorld;else if(E===Oo.POSITION)y.value=y.value||new ft,y.value.setFromMatrixPosition(x.matrixWorld);else if(E===Oo.SCALE)y.value=y.value||new ft,y.value.setFromMatrixScale(x.matrixWorld);else if(E===Oo.DIRECTION)y.value=y.value||new ft,x.getWorldDirection(y.value);else if(E===Oo.VIEW_POSITION){const z=a.camera;y.value=y.value||new ft,y.value.setFromMatrixPosition(x.matrixWorld),y.value.applyMatrix4(z.matrixWorldInverse)}else if(E===Oo.RADIUS){const z=a.object.geometry;z.boundingSphere===null&&z.computeBoundingSphere(),z4.copy(z.boundingSphere).applyMatrix4(x.matrixWorld),y.value=z4.radius}}generate(a){const x=this.scope;return x===Oo.WORLD_MATRIX?this.uniformNode.nodeType="mat4":x===Oo.POSITION||x===Oo.VIEW_POSITION||x===Oo.DIRECTION||x===Oo.SCALE?this.uniformNode.nodeType="vec3":x===Oo.RADIUS&&(this.uniformNode.nodeType="float"),this.uniformNode.build(a)}serialize(a){super.serialize(a),a.scope=this.scope}deserialize(a){super.deserialize(a),this.scope=a.scope}}Oo.WORLD_MATRIX="worldMatrix",Oo.POSITION="position",Oo.SCALE="scale",Oo.VIEW_POSITION="viewPosition",Oo.DIRECTION="direction",Oo.RADIUS="radius";const DW=Sa(Oo,Oo.DIRECTION).setParameterLength(1),IW=Sa(Oo,Oo.WORLD_MATRIX).setParameterLength(1),k4=Sa(Oo,Oo.POSITION).setParameterLength(1),NW=Sa(Oo,Oo.SCALE).setParameterLength(1),FW=Sa(Oo,Oo.VIEW_POSITION).setParameterLength(1),LW=Sa(Oo,Oo.RADIUS).setParameterLength(1);class ap extends Oo{static get type(){return"ModelNode"}constructor(a){super(a)}update(a){this.object3d=a.object,super.update(a)}}const RW=wi(ap,ap.DIRECTION),op=wi(ap,ap.WORLD_MATRIX),OW=wi(ap,ap.POSITION),zW=wi(ap,ap.SCALE),kW=wi(ap,ap.VIEW_POSITION),H4=wi(ap,ap.RADIUS),U4=Ds(new ro).onObjectUpdate(({object:b},a)=>a.value.getNormalMatrix(b.matrixWorld)),HW=Ds(new Fs).onObjectUpdate(({object:b},a)=>a.value.copy(b.matrixWorld).invert()),e0=hn(b=>b.renderer.overrideNodes.modelViewMatrix||j4).once()().toVar("modelViewMatrix"),j4=Ph.mul(op),HP=hn(b=>(b.context.isHighPrecisionModelViewMatrix=!0,Ds("mat4").onObjectUpdate(({object:a,camera:x})=>a.modelViewMatrix.multiplyMatrices(x.matrixWorldInverse,a.matrixWorld)))).once()().toVar("highpModelViewMatrix"),UP=hn(b=>{const a=b.context.isHighPrecisionModelViewMatrix;return Ds("mat3").onObjectUpdate(({object:x,camera:y})=>(a!==!0&&x.modelViewMatrix.multiplyMatrices(y.matrixWorldInverse,x.matrixWorld),x.normalMatrix.getNormalMatrix(x.modelViewMatrix)))}).once()().toVar("highpModelNormalViewMatrix"),Bd=wf("position","vec3"),Ku=Bd.toVarying("positionLocal"),aw=Bd.toVarying("positionPrevious"),Sh=hn(b=>op.mul(Ku).xyz.toVarying(b.getSubBuildProperty("v_positionWorld")),"vec3").once(["POSITION"])(),jP=hn(()=>Ku.transformDirection(op).toVarying("v_positionWorldDirection").normalize().toVar("positionWorldDirection"),"vec3").once(["POSITION"])(),qu=hn(b=>b.context.setupPositionView().toVarying("v_positionView"),"vec3").once(["POSITION"])(),ru=hn(b=>{let a;return b.camera.isOrthographicCamera?a=sn(0,0,1):a=qu.negate().toVarying("v_positionViewDirection").normalize(),a.toVar("positionViewDirection")},"vec3").once(["POSITION"])();class UW extends vs{static get type(){return"FrontFacingNode"}constructor(){super("bool"),this.isFrontFacingNode=!0}generate(a){if(a.shaderStage!=="fragment")return"true";const{material:x}=a;return x.side===co?"false":a.getFrontFacing()}}const V4=wi(UW),VP=lt(V4).mul(2).sub(1),vx=hn(([b],{material:a})=>{const x=a.side;return x===co?b=b.mul(-1):x===Ko&&(b=b.mul(VP)),b}),ow=wf("normal","vec3"),Wf=hn(b=>b.geometry.hasAttribute("normal")===!1?(wn('TSL: Vertex attribute "normal" not found on geometry.'),sn(0,1,0)):ow,"vec3").once()().toVar("normalLocal"),G4=qu.dFdx().cross(qu.dFdy()).normalize().toVar("normalFlat"),Ax=hn(b=>{let a;return b.material.flatShading===!0?a=G4:a=GP(Wf).toVarying("v_normalViewGeometry").normalize(),a},"vec3").once()().toVar("normalViewGeometry"),X4=hn(b=>{let a=Ax.transformDirection(Ph);return b.material.flatShading!==!0&&(a=a.toVarying("v_normalWorldGeometry")),a.normalize().toVar("normalWorldGeometry")},"vec3").once()(),ll=hn(({subBuildFn:b,material:a,context:x})=>{let y;return b==="NORMAL"||b==="VERTEX"?(y=Ax,a.flatShading!==!0&&(y=vx(y))):y=x.setupNormal().context({getUV:null}),y},"vec3").once(["NORMAL","VERTEX"])().toVar("normalView"),G0=ll.transformDirection(Ph).toVar("normalWorld"),Yv=hn(({subBuildFn:b,context:a})=>{let x;return b==="NORMAL"||b==="VERTEX"?x=ll:x=a.setupClearcoatNormal().context({getUV:null}),x},"vec3").once(["NORMAL","VERTEX"])().toVar("clearcoatNormalView"),W4=hn(([b,a=op])=>{const x=_d(a),y=b.div(sn(x[0].dot(x[0]),x[1].dot(x[1]),x[2].dot(x[2])));return x.mul(y).xyz}),GP=hn(([b],a)=>{const x=a.renderer.overrideNodes.modelNormalViewMatrix;if(x!==null)return x.transformDirection(b);const y=U4.mul(b);return Ph.transformDirection(y)}),jW=hn(()=>(wn('TSL: "transformedNormalView" is deprecated. Use "normalView" instead.'),ll)).once(["NORMAL","VERTEX"])(),VW=hn(()=>(wn('TSL: "transformedNormalWorld" is deprecated. Use "normalWorld" instead.'),G0)).once(["NORMAL","VERTEX"])(),GW=hn(()=>(wn('TSL: "transformedClearcoatNormalView" is deprecated. Use "clearcoatNormalView" instead.'),Yv)).once(["NORMAL","VERTEX"])(),Q4=new zf,XP=new Fs,Z4=Ds(0).onReference(({material:b})=>b).onObjectUpdate(({material:b})=>b.refractionRatio),lw=Ds(1).onReference(({material:b})=>b).onObjectUpdate(function({material:b,scene:a}){return b.envMap?b.envMapIntensity:a.environmentIntensity}),WP=Ds(new Fs).onReference(function(b){return b.material}).onObjectUpdate(function({material:b,scene:a}){const x=a.environment!==null&&b.envMap===null?a.environmentRotation:b.envMapRotation;return x?(Q4.copy(x),XP.makeRotationFromEuler(Q4)):XP.identity(),XP}),Y4=ru.negate().reflect(ll),J4=ru.negate().refract(ll,Z4),K4=Y4.transformDirection(Ph).toVar("reflectVector"),q4=J4.transformDirection(Ph).toVar("reflectVector"),_4=new xv;class XW extends Qm{static get type(){return"CubeTextureNode"}constructor(a,x=null,y=null,E=null){super(a,x,y,E),this.isCubeTextureNode=!0}getInputType(){return"cubeTexture"}getDefaultUV(){const a=this.value;return a.mapping===xa?K4:a.mapping===fo?q4:(cr('CubeTextureNode: Mapping "%s" not supported.',a.mapping),sn(0,0,0))}setUpdateMatrix(){}setupUV(a,x){const y=this.value;return(a.renderer.coordinateSystem===bt||!y.isRenderTargetTexture)&&(x=sn(x.x.negate(),x.yz)),WP.mul(x)}generateUV(a,x){return x.build(a,this.sampler===!0?"vec3":"ivec3")}}const QP=Sa(XW).setParameterLength(1,4).setName("cubeTexture"),xx=(b=_4,a=null,x=null,y=null)=>{let E;return b&&b.isCubeTextureNode===!0?(E=Sr(b.clone()),E.referenceNode=b,a!==null&&(E.uvNode=Sr(a)),x!==null&&(E.levelNode=Sr(x)),y!==null&&(E.biasNode=Sr(y))):E=QP(b,a,x,y),E},WW=(b=_4)=>QP(b);class QW extends Uv{static get type(){return"ReferenceElementNode"}constructor(a,x){super(a,x),this.referenceNode=a,this.isReferenceElementNode=!0}getNodeType(){return this.referenceNode.uniformType}generate(a){const x=super.generate(a),y=this.referenceNode.getNodeType(),E=this.getNodeType();return a.format(x,y,E)}}class uw extends vs{static get type(){return"ReferenceNode"}constructor(a,x,y=null,E=null){super(),this.property=a,this.uniformType=x,this.object=y,this.count=E,this.properties=a.split("."),this.reference=y,this.node=null,this.group=null,this.name=null,this.updateType=Ua.OBJECT}element(a){return Sr(new QW(this,Sr(a)))}setGroup(a){return this.group=a,this}setName(a){return this.name=a,this}label(a){return wn('TSL: "label()" has been deprecated. Use "setName()" instead.'),this.setName(a)}setNodeType(a){let x=null;this.count!==null?x=Gy(null,a,this.count):Array.isArray(this.getValueFromReference())?x=$d(null,a):a==="texture"?x=go(null):a==="cubeTexture"?x=xx(null):x=Ds(null,a),this.group!==null&&x.setGroup(this.group),this.name!==null&&x.setName(this.name),this.node=x}getNodeType(a){return this.node===null&&(this.updateReference(a),this.updateValue()),this.node.getNodeType(a)}getValueFromReference(a=this.reference){const{properties:x}=this;let y=a[x[0]];for(let E=1;E<x.length;E++)y=y[x[E]];return y}updateReference(a){return this.reference=this.object!==null?this.object:a.object,this.reference}setup(){return this.updateValue(),this.node}update(){this.updateValue()}updateValue(){this.node===null&&this.setNodeType(this.uniformType);const a=this.getValueFromReference();Array.isArray(a)?this.node.array=a:this.node.value=a}}const jl=(b,a,x)=>Sr(new uw(b,a,x)),ZP=(b,a,x,y)=>Sr(new uw(b,a,y,x));class ZW extends uw{static get type(){return"MaterialReferenceNode"}constructor(a,x,y=null){super(a,x,y),this.material=y,this.isMaterialReferenceNode=!0}updateReference(a){return this.reference=this.material!==null?this.material:a.material,this.reference}}const t0=(b,a,x=null)=>Sr(new ZW(b,a,x)),$4=Pl(),YW=qu.dFdx(),JW=qu.dFdy(),e9=$4.dFdx(),t9=$4.dFdy(),n9=ll,r9=JW.cross(n9),i9=n9.cross(YW),YP=r9.mul(e9.x).add(i9.mul(t9.x)),JP=r9.mul(e9.y).add(i9.mul(t9.y)),s9=YP.dot(YP).max(JP.dot(JP)),a9=s9.equal(0).select(0,s9.inverseSqrt()),KW=YP.mul(a9).toVar("tangentViewFrame"),qW=JP.mul(a9).toVar("bitangentViewFrame"),cw=hn(b=>(b.geometry.hasAttribute("tangent")===!1&&b.geometry.computeTangents(),wf("tangent","vec4")))(),Yy=cw.xyz.toVar("tangentLocal"),dw=hn(({subBuildFn:b,geometry:a,material:x})=>{let y;return b==="VERTEX"||a.hasAttribute("tangent")?y=e0.mul(ns(Yy,0)).xyz.toVarying("v_tangentView").normalize():y=KW,x.flatShading!==!0&&(y=vx(y)),y},"vec3").once(["NORMAL","VERTEX"])().toVar("tangentView"),o9=dw.transformDirection(Ph).toVarying("v_tangentWorld").normalize().toVar("tangentWorld"),fw=hn(([b,a],{subBuildFn:x,material:y})=>{let E=b.mul(cw.w).xyz;return x==="NORMAL"&&y.flatShading!==!0&&(E=E.toVarying(a)),E}).once(["NORMAL"]),_W=fw(ow.cross(cw),"v_bitangentGeometry").normalize().toVar("bitangentGeometry"),$W=fw(Wf.cross(Yy),"v_bitangentLocal").normalize().toVar("bitangentLocal"),l9=hn(({subBuildFn:b,geometry:a,material:x})=>{let y;return b==="VERTEX"||a.hasAttribute("tangent")?y=fw(ll.cross(dw),"v_bitangentView").normalize():y=qW,x.flatShading!==!0&&(y=vx(y)),y},"vec3").once(["NORMAL","VERTEX"])().toVar("bitangentView"),eQ=fw(G0.cross(o9),"v_bitangentWorld").normalize().toVar("bitangentWorld"),Jv=_d(dw,l9,ll).toVar("TBNViewMatrix"),u9=ru.mul(Jv),tQ=(b,a)=>b.sub(u9.mul(a)),c9=hn(()=>{let b=Xv.cross(ru);return b=b.cross(Xv).normalize(),b=Qo(b,ll,j0.mul(Um.oneMinus()).oneMinus().pow2().pow2()).normalize(),b}).once()();class nQ extends Ju{static get type(){return"NormalMapNode"}constructor(a,x=null){super("vec3"),this.node=a,this.scaleNode=x,this.normalMapType=je}setup({material:a}){const{normalMapType:x,scaleNode:y}=this;let E=this.node.mul(2).sub(1);if(y!==null){let ee=y;a.flatShading===!0&&(ee=vx(ee)),E=sn(E.xy.mul(ee),E.z)}let z=null;return x===We?z=GP(E):x===je?z=Jv.mul(E).normalize():(cr(`NodeMaterial: Unsupported normal map type: ${x}`),z=ll),z}}const KP=Sa(nQ).setParameterLength(1,2),rQ=hn(({textureNode:b,bumpScale:a})=>{const x=E=>b.isolate().context({getUV:z=>E(z.uvNode||Pl()),forceUVContext:!0}),y=lt(x(E=>E));return Br(lt(x(E=>E.add(E.dFdx()))).sub(y),lt(x(E=>E.add(E.dFdy()))).sub(y)).mul(a)}),iQ=hn(b=>{const{surf_pos:a,surf_norm:x,dHdxy:y}=b,E=a.dFdx().normalize(),z=a.dFdy().normalize(),ee=x,te=z.cross(ee),ne=ee.cross(E),ie=E.dot(te).mul(VP),ae=ie.sign().mul(y.x.mul(te).add(y.y.mul(ne)));return ie.abs().mul(x).sub(ae).normalize()});class sQ extends Ju{static get type(){return"BumpMapNode"}constructor(a,x=null){super("vec3"),this.textureNode=a,this.scaleNode=x}setup(){const a=this.scaleNode!==null?this.scaleNode:1,x=rQ({textureNode:this.textureNode,bumpScale:a});return iQ({surf_pos:qu,surf_norm:ll,dHdxy:x})}}const qP=Sa(sQ).setParameterLength(1,2),d9=new Map;class Pr extends vs{static get type(){return"MaterialNode"}constructor(a){super(),this.scope=a}getCache(a,x){let y=d9.get(a);return y===void 0&&(y=t0(a,x),d9.set(a,y)),y}getFloat(a){return this.getCache(a,"float")}getColor(a){return this.getCache(a,"color")}getTexture(a){return this.getCache(a==="map"?"map":a+"Map","texture")}setup(a){const x=a.context.material,y=this.scope;let E=null;if(y===Pr.COLOR){const z=x.color!==void 0?this.getColor(y):sn();x.map&&x.map.isTexture===!0?E=z.mul(this.getTexture("map")):E=z}else if(y===Pr.OPACITY){const z=this.getFloat(y);x.alphaMap&&x.alphaMap.isTexture===!0?E=z.mul(this.getTexture("alpha")):E=z}else if(y===Pr.SPECULAR_STRENGTH)x.specularMap&&x.specularMap.isTexture===!0?E=this.getTexture("specular").r:E=lt(1);else if(y===Pr.SPECULAR_INTENSITY){const z=this.getFloat(y);x.specularIntensityMap&&x.specularIntensityMap.isTexture===!0?E=z.mul(this.getTexture(y).a):E=z}else if(y===Pr.SPECULAR_COLOR){const z=this.getColor(y);x.specularColorMap&&x.specularColorMap.isTexture===!0?E=z.mul(this.getTexture(y).rgb):E=z}else if(y===Pr.ROUGHNESS){const z=this.getFloat(y);x.roughnessMap&&x.roughnessMap.isTexture===!0?E=z.mul(this.getTexture(y).g):E=z}else if(y===Pr.METALNESS){const z=this.getFloat(y);x.metalnessMap&&x.metalnessMap.isTexture===!0?E=z.mul(this.getTexture(y).b):E=z}else if(y===Pr.EMISSIVE){const z=this.getFloat("emissiveIntensity"),ee=this.getColor(y).mul(z);x.emissiveMap&&x.emissiveMap.isTexture===!0?E=ee.mul(this.getTexture(y)):E=ee}else if(y===Pr.NORMAL)x.normalMap?(E=KP(this.getTexture("normal"),this.getCache("normalScale","vec2")),E.normalMapType=x.normalMapType):x.bumpMap?E=qP(this.getTexture("bump").r,this.getFloat("bumpScale")):E=ll;else if(y===Pr.CLEARCOAT){const z=this.getFloat(y);x.clearcoatMap&&x.clearcoatMap.isTexture===!0?E=z.mul(this.getTexture(y).r):E=z}else if(y===Pr.CLEARCOAT_ROUGHNESS){const z=this.getFloat(y);x.clearcoatRoughnessMap&&x.clearcoatRoughnessMap.isTexture===!0?E=z.mul(this.getTexture(y).r):E=z}else if(y===Pr.CLEARCOAT_NORMAL)x.clearcoatNormalMap?E=KP(this.getTexture(y),this.getCache(y+"Scale","vec2")):E=ll;else if(y===Pr.SHEEN){const z=this.getColor("sheenColor").mul(this.getFloat("sheen"));x.sheenColorMap&&x.sheenColorMap.isTexture===!0?E=z.mul(this.getTexture("sheenColor").rgb):E=z}else if(y===Pr.SHEEN_ROUGHNESS){const z=this.getFloat(y);x.sheenRoughnessMap&&x.sheenRoughnessMap.isTexture===!0?E=z.mul(this.getTexture(y).a):E=z,E=E.clamp(.07,1)}else if(y===Pr.ANISOTROPY)if(x.anisotropyMap&&x.anisotropyMap.isTexture===!0){const z=this.getTexture(y);E=GE(yx.x,yx.y,yx.y.negate(),yx.x).mul(z.rg.mul(2).sub(Br(1)).normalize().mul(z.b))}else E=yx;else if(y===Pr.IRIDESCENCE_THICKNESS){const z=jl("1","float",x.iridescenceThicknessRange);if(x.iridescenceThicknessMap){const ee=jl("0","float",x.iridescenceThicknessRange);E=z.sub(ee).mul(this.getTexture(y).g).add(ee)}else E=z}else if(y===Pr.TRANSMISSION){const z=this.getFloat(y);x.transmissionMap?E=z.mul(this.getTexture(y).r):E=z}else if(y===Pr.THICKNESS){const z=this.getFloat(y);x.thicknessMap?E=z.mul(this.getTexture(y).g):E=z}else if(y===Pr.IOR)E=this.getFloat(y);else if(y===Pr.LIGHT_MAP)E=this.getTexture(y).rgb.mul(this.getFloat("lightMapIntensity"));else if(y===Pr.AO)E=this.getTexture(y).r.sub(1).mul(this.getFloat("aoMapIntensity")).add(1);else if(y===Pr.LINE_DASH_OFFSET)E=x.dashOffset?this.getFloat(y):lt(0);else{const z=this.getNodeType(a);E=this.getCache(y,z)}return E}}Pr.ALPHA_TEST="alphaTest",Pr.COLOR="color",Pr.OPACITY="opacity",Pr.SHININESS="shininess",Pr.SPECULAR="specular",Pr.SPECULAR_STRENGTH="specularStrength",Pr.SPECULAR_INTENSITY="specularIntensity",Pr.SPECULAR_COLOR="specularColor",Pr.REFLECTIVITY="reflectivity",Pr.ROUGHNESS="roughness",Pr.METALNESS="metalness",Pr.NORMAL="normal",Pr.CLEARCOAT="clearcoat",Pr.CLEARCOAT_ROUGHNESS="clearcoatRoughness",Pr.CLEARCOAT_NORMAL="clearcoatNormal",Pr.EMISSIVE="emissive",Pr.ROTATION="rotation",Pr.SHEEN="sheen",Pr.SHEEN_ROUGHNESS="sheenRoughness",Pr.ANISOTROPY="anisotropy",Pr.IRIDESCENCE="iridescence",Pr.IRIDESCENCE_IOR="iridescenceIOR",Pr.IRIDESCENCE_THICKNESS="iridescenceThickness",Pr.IOR="ior",Pr.TRANSMISSION="transmission",Pr.THICKNESS="thickness",Pr.ATTENUATION_DISTANCE="attenuationDistance",Pr.ATTENUATION_COLOR="attenuationColor",Pr.LINE_SCALE="scale",Pr.LINE_DASH_SIZE="dashSize",Pr.LINE_GAP_SIZE="gapSize",Pr.LINE_WIDTH="linewidth",Pr.LINE_DASH_OFFSET="dashOffset",Pr.POINT_SIZE="size",Pr.DISPERSION="dispersion",Pr.LIGHT_MAP="light",Pr.AO="ao";const f9=wi(Pr,Pr.ALPHA_TEST),hw=wi(Pr,Pr.COLOR),h9=wi(Pr,Pr.SHININESS),p9=wi(Pr,Pr.EMISSIVE),pw=wi(Pr,Pr.OPACITY),m9=wi(Pr,Pr.SPECULAR),_P=wi(Pr,Pr.SPECULAR_INTENSITY),g9=wi(Pr,Pr.SPECULAR_COLOR),Jy=wi(Pr,Pr.SPECULAR_STRENGTH),mw=wi(Pr,Pr.REFLECTIVITY),v9=wi(Pr,Pr.ROUGHNESS),A9=wi(Pr,Pr.METALNESS),x9=wi(Pr,Pr.NORMAL),y9=wi(Pr,Pr.CLEARCOAT),b9=wi(Pr,Pr.CLEARCOAT_ROUGHNESS),E9=wi(Pr,Pr.CLEARCOAT_NORMAL),w9=wi(Pr,Pr.ROTATION),C9=wi(Pr,Pr.SHEEN),P9=wi(Pr,Pr.SHEEN_ROUGHNESS),S9=wi(Pr,Pr.ANISOTROPY),B9=wi(Pr,Pr.IRIDESCENCE),M9=wi(Pr,Pr.IRIDESCENCE_IOR),T9=wi(Pr,Pr.IRIDESCENCE_THICKNESS),D9=wi(Pr,Pr.TRANSMISSION),I9=wi(Pr,Pr.THICKNESS),N9=wi(Pr,Pr.IOR),F9=wi(Pr,Pr.ATTENUATION_DISTANCE),L9=wi(Pr,Pr.ATTENUATION_COLOR),$P=wi(Pr,Pr.LINE_SCALE),eS=wi(Pr,Pr.LINE_DASH_SIZE),tS=wi(Pr,Pr.LINE_GAP_SIZE),gw=wi(Pr,Pr.LINE_WIDTH),nS=wi(Pr,Pr.LINE_DASH_OFFSET),R9=wi(Pr,Pr.POINT_SIZE),O9=wi(Pr,Pr.DISPERSION),rS=wi(Pr,Pr.LIGHT_MAP),z9=wi(Pr,Pr.AO),yx=Ds(new ar).onReference(function(b){return b.material}).onRenderUpdate(function({material:b}){this.value.set(b.anisotropy*Math.cos(b.anisotropyRotation),b.anisotropy*Math.sin(b.anisotropyRotation))}),iS=hn(b=>b.context.setupModelViewProjection(),"vec4").once()().toVarying("v_modelViewProjection");class vu extends vs{static get type(){return"IndexNode"}constructor(a){super("uint"),this.scope=a,this.isIndexNode=!0}generate(a){const x=this.getNodeType(a),y=this.scope;let E;if(y===vu.VERTEX)E=a.getVertexIndex();else if(y===vu.INSTANCE)E=a.getInstanceIndex();else if(y===vu.DRAW)E=a.getDrawIndex();else if(y===vu.INVOCATION_LOCAL)E=a.getInvocationLocalIndex();else if(y===vu.INVOCATION_SUBGROUP)E=a.getInvocationSubgroupIndex();else if(y===vu.SUBGROUP)E=a.getSubgroupIndex();else throw new Error("THREE.IndexNode: Unknown scope: "+y);let z;return a.shaderStage==="vertex"||a.shaderStage==="compute"?z=E:z=Wm(this).build(a,x),z}}vu.VERTEX="vertex",vu.INSTANCE="instance",vu.SUBGROUP="subgroup",vu.INVOCATION_LOCAL="invocationLocal",vu.INVOCATION_SUBGROUP="invocationSubgroup",vu.DRAW="draw";const k9=wi(vu,vu.VERTEX),X0=wi(vu,vu.INSTANCE),aQ=wi(vu,vu.SUBGROUP),oQ=wi(vu,vu.INVOCATION_SUBGROUP),lQ=wi(vu,vu.INVOCATION_LOCAL),H9=wi(vu,vu.DRAW);class U9 extends vs{static get type(){return"InstanceNode"}constructor(a,x,y=null){super("void"),this.count=a,this.instanceMatrix=x,this.instanceColor=y,this.instanceMatrixNode=null,this.instanceColorNode=null,this.updateType=Ua.FRAME,this.buffer=null,this.bufferColor=null}setup(a){const{instanceMatrix:x,instanceColor:y}=this,{count:E}=x;let{instanceMatrixNode:z,instanceColorNode:ee}=this;if(z===null){if(E<=1e3)z=Gy(x.array,"mat4",Math.max(E,1)).element(X0);else{const ne=new uz(x.array,16,1);this.buffer=ne;const ie=x.usage===ge?NP:iw,ae=[ie(ne,"vec4",16,0),ie(ne,"vec4",16,4),ie(ne,"vec4",16,8),ie(ne,"vec4",16,12)];z=Vv(...ae)}this.instanceMatrixNode=z}if(y&&ee===null){const ne=new Xp(y.array,3),ie=y.usage===ge?NP:iw;this.bufferColor=ne,ee=sn(ie(ne,"vec3",3,0)),this.instanceColorNode=ee}const te=z.mul(Ku).xyz;if(Ku.assign(te),a.hasGeometryAttribute("normal")){const ne=W4(Wf,z);Wf.assign(ne)}this.instanceColorNode!==null&&Eh("vec3","vInstanceColor").assign(this.instanceColorNode)}update(){this.buffer!==null&&(this.buffer.clearUpdateRanges(),this.buffer.updateRanges.push(...this.instanceMatrix.updateRanges),this.instanceMatrix.usage!==ge&&this.instanceMatrix.version!==this.buffer.version&&(this.buffer.version=this.instanceMatrix.version)),this.instanceColor&&this.bufferColor!==null&&(this.bufferColor.clearUpdateRanges(),this.bufferColor.updateRanges.push(...this.instanceColor.updateRanges),this.instanceColor.usage!==ge&&this.instanceColor.version!==this.bufferColor.version&&(this.bufferColor.version=this.instanceColor.version))}}const uQ=Sa(U9).setParameterLength(2,3);class cQ extends U9{static get type(){return"InstancedMeshNode"}constructor(a){const{count:x,instanceMatrix:y,instanceColor:E}=a;super(x,y,E),this.instancedMesh=a}}const j9=Sa(cQ).setParameterLength(1);class dQ extends vs{static get type(){return"BatchNode"}constructor(a){super("void"),this.batchMesh=a,this.batchingIdNode=null}setup(a){this.batchingIdNode===null&&(a.getDrawIndex()===null?this.batchingIdNode=X0:this.batchingIdNode=H9);const y=hn(([he])=>{const xe=Jt(Jg(Hu(this.batchMesh._indirectTexture),0).x),ve=Jt(he).mod(xe),me=Jt(he).div(xe);return Hu(this.batchMesh._indirectTexture,Zc(ve,me)).x}).setLayout({name:"getIndirectIndex",type:"uint",inputs:[{name:"id",type:"int"}]})(Jt(this.batchingIdNode)),E=this.batchMesh._matricesTexture,z=Jt(Jg(Hu(E),0).x),ee=lt(y).mul(4).toInt().toVar(),te=ee.mod(z),ne=ee.div(z),ie=Vv(Hu(E,Zc(te,ne)),Hu(E,Zc(te.add(1),ne)),Hu(E,Zc(te.add(2),ne)),Hu(E,Zc(te.add(3),ne))),ae=this.batchMesh._colorsTexture;if(ae!==null){const xe=hn(([ve])=>{const me=Jt(Jg(Hu(ae),0).x),Pe=ve,we=Pe.mod(me),Me=Pe.div(me);return Hu(ae,Zc(we,Me)).rgb}).setLayout({name:"getBatchingColor",type:"vec3",inputs:[{name:"id",type:"int"}]})(y);Eh("vec3","vBatchColor").assign(xe)}const oe=_d(ie);Ku.assign(ie.mul(Ku));const le=Wf.div(sn(oe[0].dot(oe[0]),oe[1].dot(oe[1]),oe[2].dot(oe[2]))),ue=oe.mul(le).xyz;Wf.assign(ue),a.hasGeometryAttribute("tangent")&&Yy.mulAssign(oe)}}const V9=Sa(dQ).setParameterLength(1);class fQ extends Uv{static get type(){return"StorageArrayElementNode"}constructor(a,x){super(a,x),this.isStorageArrayElementNode=!0}set storageBufferNode(a){this.node=a}get storageBufferNode(){return this.node}getMemberType(a,x){const y=this.storageBufferNode.structTypeNode;return y?y.getMemberType(a,x):"void"}setup(a){return a.isAvailable("storageBuffer")===!1&&this.node.isPBO===!0&&a.setupPBO(this.node),super.setup(a)}generate(a,x){let y;const E=a.context.assign;if(a.isAvailable("storageBuffer")===!1?this.node.isPBO===!0&&E!==!0&&(this.node.value.isInstancedBufferAttribute||a.shaderStage!=="compute")?y=a.generatePBO(this):y=this.node.build(a):y=super.generate(a),E!==!0){const z=this.getNodeType(a);y=a.format(y,z,x)}return y}}const hQ=Sa(fQ).setParameterLength(2);class pQ extends zP{static get type(){return"StorageBufferNode"}constructor(a,x=null,y=0){let E,z=null;x&&x.isStruct?(E="struct",z=x.layout,(a.isStorageBufferAttribute||a.isStorageInstancedBufferAttribute)&&(y=a.count)):x===null&&(a.isStorageBufferAttribute||a.isStorageInstancedBufferAttribute)?(E=G2(a.itemSize),y=a.count):E=x,super(a,E,y),this.isStorageBufferNode=!0,this.structTypeNode=z,this.access=Sd.READ_WRITE,this.isAtomic=!1,this.isPBO=!1,this._attribute=null,this._varying=null,this.global=!0,a.isStorageBufferAttribute!==!0&&a.isStorageInstancedBufferAttribute!==!0&&(a.isInstancedBufferAttribute?a.isStorageInstancedBufferAttribute=!0:a.isStorageBufferAttribute=!0)}getHash(a){if(this.bufferCount===0){let x=a.globalCache.getData(this.value);return x===void 0&&(x={node:this},a.globalCache.setData(this.value,x)),x.node.uuid}return this.uuid}getInputType(){return this.value.isIndirectStorageBufferAttribute?"indirectStorageBuffer":"storageBuffer"}element(a){return hQ(this,a)}setPBO(a){return this.isPBO=a,this}getPBO(){return this.isPBO}setAccess(a){return this.access=a,this}toReadOnly(){return this.setAccess(Sd.READ_ONLY)}setAtomic(a){return this.isAtomic=a,this}toAtomic(){return this.setAtomic(!0)}getAttributeData(){return this._attribute===null&&(this._attribute=Vy(this.value),this._varying=Wm(this._attribute)),{attribute:this._attribute,varying:this._varying}}getNodeType(a){if(this.structTypeNode!==null)return this.structTypeNode.getNodeType(a);if(a.isAvailable("storageBuffer")||a.isAvailable("indirectStorageBuffer"))return super.getNodeType(a);const{attribute:x}=this.getAttributeData();return x.getNodeType(a)}getMemberType(a,x){return this.structTypeNode!==null?this.structTypeNode.getMemberType(a,x):"void"}generate(a){if(this.structTypeNode!==null&&this.structTypeNode.build(a),a.isAvailable("storageBuffer")||a.isAvailable("indirectStorageBuffer"))return super.generate(a);const{attribute:x,varying:y}=this.getAttributeData(),E=y.build(a);return a.registerTransform(E,x),E}}const Kv=(b,a=null,x=0)=>Sr(new pQ(b,a,x)),mQ=(b,a,x)=>(wn('TSL: "storageObject()" is deprecated. Use "storage().setPBO( true )" instead.'),Kv(b,a,x).setPBO(!0)),G9=new WeakMap;class X9 extends vs{static get type(){return"SkinningNode"}constructor(a){super("void"),this.skinnedMesh=a,this.updateType=Ua.OBJECT,this.skinIndexNode=wf("skinIndex","uvec4"),this.skinWeightNode=wf("skinWeight","vec4"),this.bindMatrixNode=jl("bindMatrix","mat4"),this.bindMatrixInverseNode=jl("bindMatrixInverse","mat4"),this.boneMatricesNode=ZP("skeleton.boneMatrices","mat4",a.skeleton.bones.length),this.positionNode=Ku,this.toPositionNode=Ku,this.previousBoneMatricesNode=null}getSkinnedPosition(a=this.boneMatricesNode,x=this.positionNode){const{skinIndexNode:y,skinWeightNode:E,bindMatrixNode:z,bindMatrixInverseNode:ee}=this,te=a.element(y.x),ne=a.element(y.y),ie=a.element(y.z),ae=a.element(y.w),oe=z.mul(x),le=Ac(te.mul(E.x).mul(oe),ne.mul(E.y).mul(oe),ie.mul(E.z).mul(oe),ae.mul(E.w).mul(oe));return ee.mul(le).xyz}getSkinnedNormal(a=this.boneMatricesNode,x=Wf){const{skinIndexNode:y,skinWeightNode:E,bindMatrixNode:z,bindMatrixInverseNode:ee}=this,te=a.element(y.x),ne=a.element(y.y),ie=a.element(y.z),ae=a.element(y.w);let oe=Ac(E.x.mul(te),E.y.mul(ne),E.z.mul(ie),E.w.mul(ae));return oe=ee.mul(oe).mul(z),oe.transformDirection(x).xyz}getPreviousSkinnedPosition(a){const x=a.object;return this.previousBoneMatricesNode===null&&(x.skeleton.previousBoneMatrices=new Float32Array(x.skeleton.boneMatrices),this.previousBoneMatricesNode=ZP("skeleton.previousBoneMatrices","mat4",x.skeleton.bones.length)),this.getSkinnedPosition(this.previousBoneMatricesNode,aw)}needsPreviousBoneMatrices(a){const x=a.renderer.getMRT();return x&&x.has("velocity")||W2(a.object).useVelocity===!0}setup(a){this.needsPreviousBoneMatrices(a)&&aw.assign(this.getPreviousSkinnedPosition(a));const x=this.getSkinnedPosition();if(this.toPositionNode&&this.toPositionNode.assign(x),a.hasGeometryAttribute("normal")){const y=this.getSkinnedNormal();Wf.assign(y),a.hasGeometryAttribute("tangent")&&Yy.assign(y)}return x}generate(a,x){if(x!=="void")return super.generate(a,x)}update(a){const x=a.object&&a.object.skeleton?a.object.skeleton:this.skinnedMesh.skeleton;G9.get(x)!==a.frameId&&(G9.set(x,a.frameId),this.previousBoneMatricesNode!==null&&x.previousBoneMatrices.set(x.boneMatrices),x.update())}}const W9=b=>Sr(new X9(b)),gQ=(b,a=null)=>{const x=new X9(b);return x.positionNode=Kv(new Xp(b.geometry.getAttribute("position").array,3),"vec3").setPBO(!0).toReadOnly().element(X0).toVar(),x.skinIndexNode=Kv(new Xp(new Uint32Array(b.geometry.getAttribute("skinIndex").array),4),"uvec4").setPBO(!0).toReadOnly().element(X0).toVar(),x.skinWeightNode=Kv(new Xp(b.geometry.getAttribute("skinWeight").array,4),"vec4").setPBO(!0).toReadOnly().element(X0).toVar(),x.bindMatrixNode=Ds(b.bindMatrix,"mat4"),x.bindMatrixInverseNode=Ds(b.bindMatrixInverse,"mat4"),x.boneMatricesNode=Gy(b.skeleton.boneMatrices,"mat4",b.skeleton.bones.length),x.toPositionNode=a,Sr(x)};class vQ extends vs{static get type(){return"LoopNode"}constructor(a=[]){super("void"),this.params=a}getVarName(a){return String.fromCharCode(105+a)}getProperties(a){const x=a.getNodeProperties(this);if(x.stackNode!==void 0)return x;const y={};for(let te=0,ne=this.params.length-1;te<ne;te++){const ie=this.params[te],ae=ie.isNode!==!0&&ie.name||this.getVarName(te),oe=ie.isNode!==!0&&ie.type||"int";y[ae]=Yg(ae,oe)}const E=a.addStack(),z=this.params[this.params.length-1](y);x.returnsNode=z.context({nodeLoop:z}),x.stackNode=E;const ee=this.params[0];if(ee.isNode!==!0&&typeof ee.update=="function"){const te=hn(this.params[0].update)(y);x.updateNode=te.context({nodeLoop:te})}return a.removeStack(),x}setup(a){if(this.getProperties(a),a.fnCall){const x=a.getDataFromNode(a.fnCall.shaderNode);x.hasLoop=!0}}generate(a){const x=this.getProperties(a),y=this.params,E=x.stackNode;for(let ee=0,te=y.length-1;ee<te;ee++){const ne=y[ee];let ie=!1,ae=null,oe=null,le=null,ue=null,he=null,xe=null;ne.isNode?ne.getNodeType(a)==="bool"?(ie=!0,ue="bool",oe=ne.build(a,ue)):(ue="int",le=this.getVarName(ee),ae="0",oe=ne.build(a,ue),he="<"):(ue=ne.type||"int",le=ne.name||this.getVarName(ee),ae=ne.start,oe=ne.end,he=ne.condition,xe=ne.update,typeof ae=="number"?ae=a.generateConst(ue,ae):ae&&ae.isNode&&(ae=ae.build(a,ue)),typeof oe=="number"?oe=a.generateConst(ue,oe):oe&&oe.isNode&&(oe=oe.build(a,ue)),ae!==void 0&&oe===void 0?(ae=ae+" - 1",oe="0",he=">="):oe!==void 0&&ae===void 0&&(ae="0",he="<"),he===void 0&&(Number(ae)>Number(oe)?he=">=":he="<"));let ve;if(ie)ve=`while ( ${oe} )`;else{const me={start:ae,end:oe},Pe=me.start,we=me.end;let Me;const Le=()=>he.includes("<")?"+=":"-=";if(xe!=null)switch(typeof xe){case"function":Me=a.flowStagesNode(x.updateNode,"void").code.replace(/\t|;/g,"");break;case"number":Me=le+" "+Le()+" "+a.generateConst(ue,xe);break;case"string":Me=le+" "+xe;break;default:xe.isNode?Me=le+" "+Le()+" "+xe.build(a):(cr("TSL: 'Loop( { update: ... } )' is not a function, string or number."),Me="break /* invalid update */")}else ue==="int"||ue==="uint"?xe=he.includes("<")?"++":"--":xe=Le()+" 1.",Me=le+" "+xe;const De=a.getVar(ue,le)+" = "+Pe,ke=le+" "+he+" "+we;ve=`for ( ${De}; ${ke}; ${Me} )`}a.addFlowCode((ee===0?`
`:"")+a.tab+ve+` {

`).addFlowTab()}const z=E.build(a,"void");x.returnsNode.build(a,"void"),a.removeFlowTab().addFlowCode(`
`+a.tab+z);for(let ee=0,te=this.params.length-1;ee<te;ee++)a.addFlowCode((ee===0?"":a.tab)+`}

`).removeFlowTab();a.addFlowTab()}}const ml=(...b)=>new vQ(jv(b,"int")).toStack(),AQ=()=>Yg("continue").toStack(),Q9=()=>Yg("break").toStack(),sS=new WeakMap,Bh=new la,Z9=hn(({bufferMap:b,influence:a,stride:x,width:y,depth:E,offset:z})=>{const ee=Jt(k9).mul(x).add(z),te=ee.div(y),ne=ee.sub(te.mul(y));return Hu(b,Zc(ne,te)).depth(E).xyz.mul(a)});function xQ(b){const a=b.morphAttributes.position!==void 0,x=b.morphAttributes.normal!==void 0,y=b.morphAttributes.color!==void 0,E=b.morphAttributes.position||b.morphAttributes.normal||b.morphAttributes.color,z=E!==void 0?E.length:0;let ee=sS.get(b);if(ee===void 0||ee.count!==z){let me=function(){xe.dispose(),sS.delete(b),b.removeEventListener("dispose",me)};ee!==void 0&&ee.texture.dispose();const te=b.morphAttributes.position||[],ne=b.morphAttributes.normal||[],ie=b.morphAttributes.color||[];let ae=0;a===!0&&(ae=1),x===!0&&(ae=2),y===!0&&(ae=3);let oe=b.attributes.position.count*ae,le=1;const ue=4096;oe>ue&&(le=Math.ceil(oe/ue),oe=ue);const he=new Float32Array(oe*le*4*z),xe=new h1(he,oe,le,z);xe.type=zl,xe.needsUpdate=!0;const ve=ae*4;for(let Pe=0;Pe<z;Pe++){const we=te[Pe],Me=ne[Pe],Le=ie[Pe],De=oe*le*4*Pe;for(let ke=0;ke<we.count;ke++){const ze=ke*ve;a===!0&&(Bh.fromBufferAttribute(we,ke),he[De+ze+0]=Bh.x,he[De+ze+1]=Bh.y,he[De+ze+2]=Bh.z,he[De+ze+3]=0),x===!0&&(Bh.fromBufferAttribute(Me,ke),he[De+ze+4]=Bh.x,he[De+ze+5]=Bh.y,he[De+ze+6]=Bh.z,he[De+ze+7]=0),y===!0&&(Bh.fromBufferAttribute(Le,ke),he[De+ze+8]=Bh.x,he[De+ze+9]=Bh.y,he[De+ze+10]=Bh.z,he[De+ze+11]=Le.itemSize===4?Bh.w:1)}}ee={count:z,texture:xe,stride:ae,size:new ar(oe,le)},sS.set(b,ee),b.addEventListener("dispose",me)}return ee}class yQ extends vs{static get type(){return"MorphNode"}constructor(a){super("void"),this.mesh=a,this.morphBaseInfluence=Ds(1),this.updateType=Ua.OBJECT}setup(a){const{geometry:x}=a,y=x.morphAttributes.position!==void 0,E=x.hasAttribute("normal")&&x.morphAttributes.normal!==void 0,z=x.morphAttributes.position||x.morphAttributes.normal||x.morphAttributes.color,ee=z!==void 0?z.length:0,{texture:te,stride:ne,size:ie}=xQ(x);y===!0&&Ku.mulAssign(this.morphBaseInfluence),E===!0&&Wf.mulAssign(this.morphBaseInfluence);const ae=Jt(ie.width);ml(ee,({i:oe})=>{const le=lt(0).toVar();this.mesh.count>1&&this.mesh.morphTexture!==null&&this.mesh.morphTexture!==void 0?le.assign(Hu(this.mesh.morphTexture,Zc(Jt(oe).add(1),Jt(X0))).r):le.assign(jl("morphTargetInfluences","float").element(oe).toVar()),Ms(le.notEqual(0),()=>{y===!0&&Ku.addAssign(Z9({bufferMap:te,influence:le,stride:ne,width:ae,depth:oe,offset:Jt(0)})),E===!0&&Wf.addAssign(Z9({bufferMap:te,influence:le,stride:ne,width:ae,depth:oe,offset:Jt(1)}))})})}update(){const a=this.morphBaseInfluence;this.mesh.geometry.morphTargetsRelative?a.value=1:a.value=1-this.mesh.morphTargetInfluences.reduce((x,y)=>x+y,0)}}const Y9=Sa(yQ).setParameterLength(1);class bx extends vs{static get type(){return"LightingNode"}constructor(){super("vec3"),this.isLightingNode=!0}}class bQ extends bx{static get type(){return"AONode"}constructor(a=null){super(),this.aoNode=a}setup(a){a.context.ambientOcclusion.mulAssign(this.aoNode)}}class EQ extends u4{static get type(){return"LightingContextNode"}constructor(a,x=null,y=null,E=null){super(a),this.lightingModel=x,this.backdropNode=y,this.backdropAlphaNode=E,this._value=null}getContext(){const{backdropNode:a,backdropAlphaNode:x}=this,y=sn().toVar("directDiffuse"),E=sn().toVar("directSpecular"),z=sn().toVar("indirectDiffuse"),ee=sn().toVar("indirectSpecular"),te={directDiffuse:y,directSpecular:E,indirectDiffuse:z,indirectSpecular:ee};return{radiance:sn().toVar("radiance"),irradiance:sn().toVar("irradiance"),iblIrradiance:sn().toVar("iblIrradiance"),ambientOcclusion:lt(1).toVar("ambientOcclusion"),reflectedLight:te,backdrop:a,backdropAlpha:x}}setup(a){return this.value=this._value||(this._value=this.getContext()),this.value.lightingModel=this.lightingModel||a.context.lightingModel,super.setup(a)}}const J9=Sa(EQ);class wQ extends bx{static get type(){return"IrradianceNode"}constructor(a){super(),this.node=a}setup(a){a.context.irradiance.addAssign(this.node)}}const Ex=new ar;class vw extends Qm{static get type(){return"ViewportTextureNode"}constructor(a=qg,x=null,y=null){let E=null;y===null?(E=new b3,E.minFilter=Wu,y=E):E=y,super(y,a,x),this.generateMipmaps=!1,this.defaultFramebuffer=E,this.isOutputTextureNode=!0,this.updateBeforeType=Ua.FRAME,this._cacheTextures=new WeakMap}getTextureForReference(a=null){let x,y;if(this.referenceNode?(x=this.referenceNode.defaultFramebuffer,y=this.referenceNode._cacheTextures):(x=this.defaultFramebuffer,y=this._cacheTextures),a===null)return x;if(y.has(a)===!1){const E=x.clone();y.set(a,E)}return y.get(a)}updateReference(a){const x=a.renderer.getRenderTarget();return this.value=this.getTextureForReference(x),this.value}updateBefore(a){const x=a.renderer,y=x.getRenderTarget();y===null?x.getDrawingBufferSize(Ex):Ex.set(y.width,y.height);const E=this.getTextureForReference(y);(E.image.width!==Ex.width||E.image.height!==Ex.height)&&(E.image.width=Ex.width,E.image.height=Ex.height,E.needsUpdate=!0);const z=E.generateMipmaps;E.generateMipmaps=this.generateMipmaps,x.copyFramebufferToTexture(E),E.generateMipmaps=z}clone(){const a=new this.constructor(this.uvNode,this.levelNode,this.value);return a.generateMipmaps=this.generateMipmaps,a}}const CQ=Sa(vw).setParameterLength(0,3),aS=Sa(vw,null,null,{generateMipmaps:!0}).setParameterLength(0,3);let Aw=null;class PQ extends vw{static get type(){return"ViewportDepthTextureNode"}constructor(a=qg,x=null){Aw===null&&(Aw=new yh),super(a,x,Aw)}getTextureForReference(){return Aw}}const oS=Sa(PQ).setParameterLength(0,2);class Qf extends vs{static get type(){return"ViewportDepthNode"}constructor(a,x=null){super("float"),this.scope=a,this.valueNode=x,this.isViewportDepthNode=!0}generate(a){const{scope:x}=this;return x===Qf.DEPTH_BASE?a.getFragDepth():super.generate(a)}setup({camera:a}){const{scope:x}=this,y=this.valueNode;let E=null;if(x===Qf.DEPTH_BASE)y!==null&&(E=K9().assign(y));else if(x===Qf.DEPTH)a.isPerspectiveCamera?E=lS(qu.z,_g,$g):E=wx(qu.z,_g,$g);else if(x===Qf.LINEAR_DEPTH)if(y!==null)if(a.isPerspectiveCamera){const z=uS(y,_g,$g);E=wx(z,_g,$g)}else E=y;else E=wx(qu.z,_g,$g);return E}}Qf.DEPTH_BASE="depthBase",Qf.DEPTH="depth",Qf.LINEAR_DEPTH="linearDepth";const wx=(b,a,x)=>b.add(a).div(a.sub(x)),SQ=(b,a,x)=>a.sub(x).mul(b).sub(a),lS=(b,a,x)=>a.add(b).mul(x).div(x.sub(a).mul(b)),uS=(b,a,x)=>a.mul(x).div(x.sub(a).mul(b).sub(x)),cS=(b,a,x)=>{a=a.max(1e-6).toVar();const y=jm(b.negate().div(a)),E=jm(x.div(a));return y.div(E)},BQ=(b,a,x)=>{const y=b.mul(_E(x.div(a)));return lt(Math.E).pow(y).mul(a).negate()},K9=Sa(Qf,Qf.DEPTH_BASE),dS=wi(Qf,Qf.DEPTH),Cx=Sa(Qf,Qf.LINEAR_DEPTH).setParameterLength(0,1),MQ=Cx(oS());dS.assign=b=>K9(b);class lp extends vs{static get type(){return"ClippingNode"}constructor(a=lp.DEFAULT){super(),this.scope=a}setup(a){super.setup(a);const x=a.clippingContext,{intersectionPlanes:y,unionPlanes:E}=x;return this.hardwareClipping=a.material.hardwareClipping,this.scope===lp.ALPHA_TO_COVERAGE?this.setupAlphaToCoverage(y,E):this.scope===lp.HARDWARE?this.setupHardwareClipping(E,a):this.setupDefault(y,E)}setupAlphaToCoverage(a,x){return hn(()=>{const y=lt().toVar("distanceToPlane"),E=lt().toVar("distanceToGradient"),z=lt(1).toVar("clipOpacity"),ee=x.length;if(this.hardwareClipping===!1&&ee>0){const ne=$d(x).setGroup(Hs);ml(ee,({i:ie})=>{const ae=ne.element(ie);y.assign(qu.dot(ae.xyz).negate().add(ae.w)),E.assign(y.fwidth().div(2)),z.mulAssign(Ch(E.negate(),E,y))})}const te=a.length;if(te>0){const ne=$d(a).setGroup(Hs),ie=lt(1).toVar("intersectionClipOpacity");ml(te,({i:ae})=>{const oe=ne.element(ae);y.assign(qu.dot(oe.xyz).negate().add(oe.w)),E.assign(y.fwidth().div(2)),ie.mulAssign(Ch(E.negate(),E,y).oneMinus())}),z.mulAssign(ie.oneMinus())}Wo.a.mulAssign(z),Wo.a.equal(0).discard()})()}setupDefault(a,x){return hn(()=>{const y=x.length;if(this.hardwareClipping===!1&&y>0){const z=$d(x).setGroup(Hs);ml(y,({i:ee})=>{const te=z.element(ee);qu.dot(te.xyz).greaterThan(te.w).discard()})}const E=a.length;if(E>0){const z=$d(a).setGroup(Hs),ee=tp(!0).toVar("clipped");ml(E,({i:te})=>{const ne=z.element(te);ee.assign(qu.dot(ne.xyz).greaterThan(ne.w).and(ee))}),ee.discard()}})()}setupHardwareClipping(a,x){const y=a.length;return x.enableHardwareClipping(y),hn(()=>{const E=$d(a).setGroup(Hs),z=Kg(x.getClipDistance());ml(y,({i:ee})=>{const te=E.element(ee),ne=qu.dot(te.xyz).sub(te.w).negate();z.element(ee).assign(ne)})})()}}lp.ALPHA_TO_COVERAGE="alphaToCoverage",lp.DEFAULT="default",lp.HARDWARE="hardware";const TQ=()=>Sr(new lp),DQ=()=>Sr(new lp(lp.ALPHA_TO_COVERAGE)),IQ=()=>Sr(new lp(lp.HARDWARE)),NQ=.05,q9=hn(([b])=>$p(Ia(1e4,Gf(Ia(17,b.x).add(Ia(.1,b.y)))).mul(Ac(.1,_l(Gf(Ia(13,b.y).add(b.x))))))),_9=hn(([b])=>q9(Br(q9(b.xy),b.z))),FQ=hn(([b])=>{const a=du(Xm(AP(b.xyz)),Xm(xP(b.xyz))),x=lt(1).div(lt(NQ).mul(a)).toVar("pixScale"),y=Br(hx(Vm(jm(x))),hx($E(jm(x)))),E=Br(_9(Vm(y.x.mul(b.xyz))),_9(Vm(y.y.mul(b.xyz)))),z=$p(jm(x)),ee=Ac(Ia(z.oneMinus(),E.x),Ia(z,E.y)),te=Xf(z,z.oneMinus()),ne=sn(ee.mul(ee).div(Ia(2,te).mul(Io(1,te))),ee.sub(Ia(.5,te)).div(Io(1,te)),Io(1,Io(1,ee).mul(Io(1,ee)).div(Ia(2,te).mul(Io(1,te))))),ie=ee.lessThan(te.oneMinus()).select(ee.lessThan(te).select(ne.x,ne.y),ne.z);return ip(ie,1e-6,1)}).setLayout({name:"getAlphaHashThreshold",type:"float",inputs:[{name:"position",type:"vec3"}]});class LQ extends L4{static get type(){return"VertexColorNode"}constructor(a){super(null,"vec4"),this.isVertexColorNode=!0,this.index=a}getAttributeName(){const a=this.index;return"color"+(a>0?a:"")}generate(a){const x=this.getAttributeName(a),y=a.hasGeometryAttribute(x);let E;return y===!0?E=super.generate(a):E=a.generateConst(this.nodeType,new la(1,1,1,1)),E}serialize(a){super.serialize(a),a.index=this.index}deserialize(a){super.deserialize(a),this.index=a.index}}const $9=(b=0)=>Sr(new LQ(b)),eI=hn(([b,a])=>Xf(1,b.oneMinus().div(a)).oneMinus()).setLayout({name:"blendBurn",type:"vec3",inputs:[{name:"base",type:"vec3"},{name:"blend",type:"vec3"}]}),tI=hn(([b,a])=>Xf(b.div(a.oneMinus()),1)).setLayout({name:"blendDodge",type:"vec3",inputs:[{name:"base",type:"vec3"},{name:"blend",type:"vec3"}]}),nI=hn(([b,a])=>b.oneMinus().mul(a.oneMinus()).oneMinus()).setLayout({name:"blendScreen",type:"vec3",inputs:[{name:"base",type:"vec3"},{name:"blend",type:"vec3"}]}),rI=hn(([b,a])=>Qo(b.mul(2).mul(a),b.oneMinus().mul(2).mul(a.oneMinus()).oneMinus(),tw(.5,b))).setLayout({name:"blendOverlay",type:"vec3",inputs:[{name:"base",type:"vec3"},{name:"blend",type:"vec3"}]}),RQ=hn(([b,a])=>{const x=a.a.add(b.a.mul(a.a.oneMinus()));return ns(a.rgb.mul(a.a).add(b.rgb.mul(b.a).mul(a.a.oneMinus())).div(x),x)}).setLayout({name:"blendColor",type:"vec4",inputs:[{name:"base",type:"vec4"},{name:"blend",type:"vec4"}]}),iI=hn(([b])=>ns(b.rgb.mul(b.a),b.a),{color:"vec4",return:"vec4"}),OQ=hn(([b])=>(Ms(b.a.equal(0),()=>ns(0)),ns(b.rgb.div(b.a),b.a)),{color:"vec4",return:"vec4"}),zQ=(...b)=>(wn('TSL: "burn" has been renamed. Use "blendBurn" instead.'),eI(b)),kQ=(...b)=>(wn('TSL: "dodge" has been renamed. Use "blendDodge" instead.'),tI(b)),HQ=(...b)=>(wn('TSL: "screen" has been renamed. Use "blendScreen" instead.'),nI(b)),UQ=(...b)=>(wn('TSL: "overlay" has been renamed. Use "blendOverlay" instead.'),rI(b));class Bu extends Pd{static get type(){return"NodeMaterial"}get type(){return this.constructor.type}set type(a){}constructor(){super(),this.isNodeMaterial=!0,this.fog=!0,this.lights=!1,this.hardwareClipping=!1,this.lightsNode=null,this.envNode=null,this.aoNode=null,this.colorNode=null,this.normalNode=null,this.opacityNode=null,this.backdropNode=null,this.backdropAlphaNode=null,this.alphaTestNode=null,this.maskNode=null,this.positionNode=null,this.geometryNode=null,this.depthNode=null,this.receivedShadowPositionNode=null,this.castShadowPositionNode=null,this.receivedShadowNode=null,this.castShadowNode=null,this.outputNode=null,this.mrtNode=null,this.fragmentNode=null,this.vertexNode=null,Object.defineProperty(this,"shadowPositionNode",{get:()=>this.receivedShadowPositionNode,set:a=>{wn('NodeMaterial: ".shadowPositionNode" was renamed to ".receivedShadowPositionNode".'),this.receivedShadowPositionNode=a}})}_getNodeChildren(){const a=[];for(const x of Object.getOwnPropertyNames(this)){if(x.startsWith("_")===!0)continue;const y=this[x];y&&y.isNode===!0&&a.push({property:x,childNode:y})}return a}customProgramCacheKey(){const a=[];for(const{property:x,childNode:y}of this._getNodeChildren())a.push(lx(x.slice(0,-4)),y.getCacheKey());return this.type+kv(a)}build(a){this.setup(a)}setupObserver(a){return new dX(a)}setup(a){a.context.setupNormal=()=>px(this.setupNormal(a),"NORMAL","vec3"),a.context.setupPositionView=()=>this.setupPositionView(a),a.context.setupModelViewProjection=()=>this.setupModelViewProjection(a);const x=a.renderer,y=x.getRenderTarget();a.addStack();const E=px(this.setupVertex(a),"VERTEX"),z=this.vertexNode||E;a.stack.outputNode=z,this.setupHardwareClipping(a),this.geometryNode!==null&&(a.stack.outputNode=a.stack.outputNode.bypass(this.geometryNode)),a.addFlow("vertex",a.removeStack()),a.addStack();let ee;const te=this.setupClipping(a);if((this.depthWrite===!0||this.depthTest===!0)&&(y!==null?y.depthBuffer===!0&&this.setupDepth(a):x.depth===!0&&this.setupDepth(a)),this.fragmentNode===null){this.setupDiffuseColor(a),this.setupVariants(a);const ne=this.setupLighting(a);te!==null&&a.stack.addToStack(te);const ie=ns(ne,Wo.a).max(0);ee=this.setupOutput(a,ie),fx.assign(ee);const ae=this.outputNode!==null;if(ae&&(ee=this.outputNode),y!==null){const oe=x.getMRT(),le=this.mrtNode;oe!==null?(ae&&fx.assign(ee),ee=oe,le!==null&&(ee=oe.merge(le))):le!==null&&(ee=le)}}else{let ne=this.fragmentNode;ne.isOutputStructNode!==!0&&(ne=ns(ne)),ee=this.setupOutput(a,ne)}a.stack.outputNode=ee,a.addFlow("fragment",a.removeStack()),a.observer=this.setupObserver(a)}setupClipping(a){if(a.clippingContext===null)return null;const{unionPlanes:x,intersectionPlanes:y}=a.clippingContext;let E=null;if(x.length>0||y.length>0){const z=a.renderer.currentSamples;this.alphaToCoverage&&z>1?E=DQ():a.stack.addToStack(TQ())}return E}setupHardwareClipping(a){if(this.hardwareClipping=!1,a.clippingContext===null)return;const x=a.clippingContext.unionPlanes.length;x>0&&x<=8&&a.isAvailable("clipDistance")&&(a.stack.addToStack(IQ()),this.hardwareClipping=!0)}setupDepth(a){const{renderer:x,camera:y}=a;let E=this.depthNode;if(E===null){const z=x.getMRT();z&&z.has("depth")?E=z.get("depth"):x.logarithmicDepthBuffer===!0&&(y.isPerspectiveCamera?E=cS(qu.z,_g,$g):E=wx(qu.z,_g,$g))}E!==null&&dS.assign(E).toStack()}setupPositionView(){return e0.mul(Ku).xyz}setupModelViewProjection(){return sp.mul(qu)}setupVertex(a){return a.addStack(),this.setupPosition(a),a.context.vertex=a.removeStack(),iS}setupPosition(a){const{object:x,geometry:y}=a;if((y.morphAttributes.position||y.morphAttributes.normal||y.morphAttributes.color)&&Y9(x).toStack(),x.isSkinnedMesh===!0&&W9(x).toStack(),this.displacementMap){const E=t0("displacementMap","texture"),z=t0("displacementScale","float"),ee=t0("displacementBias","float");Ku.addAssign(Wf.normalize().mul(E.x.mul(z).add(ee)))}return x.isBatchedMesh&&V9(x).toStack(),x.isInstancedMesh&&x.instanceMatrix&&x.instanceMatrix.isInstancedBufferAttribute===!0&&j9(x).toStack(),this.positionNode!==null&&Ku.assign(px(this.positionNode,"POSITION","vec3")),Ku}setupDiffuseColor(a){const{object:x,geometry:y}=a;this.maskNode!==null&&tp(this.maskNode).not().discard();let E=this.colorNode?ns(this.colorNode):hw;this.vertexColors===!0&&y.hasAttribute("color")&&(E=E.mul($9())),x.instanceColor&&(E=Eh("vec3","vInstanceColor").mul(E)),x.isBatchedMesh&&x._colorsTexture&&(E=Eh("vec3","vBatchColor").mul(E)),Wo.assign(E);const z=this.opacityNode?lt(this.opacityNode):pw;Wo.a.assign(Wo.a.mul(z));let ee=null;(this.alphaTestNode!==null||this.alphaTest>0)&&(ee=this.alphaTestNode!==null?lt(this.alphaTestNode):f9,this.alphaToCoverage===!0?(Wo.a=Ch(ee,ee.add(bP(Wo.a)),Wo.a),Wo.a.lessThanEqual(0).discard()):Wo.a.lessThanEqual(ee).discard()),this.alphaHash===!0&&Wo.a.lessThan(FQ(Ku)).discard(),a.isOpaque()&&Wo.a.assign(1)}setupVariants(){}setupOutgoingLight(){return this.lights===!0?sn(0):Wo.rgb}setupNormal(){return this.normalNode?sn(this.normalNode):x9}setupEnvironment(){let a=null;return this.envNode?a=this.envNode:this.envMap&&(a=this.envMap.isCubeTexture?t0("envMap","cubeTexture"):t0("envMap","texture")),a}setupLightMap(a){let x=null;return a.material.lightMap&&(x=new wQ(rS)),x}setupLights(a){const x=[],y=this.setupEnvironment(a);y&&y.isLightingNode&&x.push(y);const E=this.setupLightMap(a);if(E&&E.isLightingNode&&x.push(E),this.aoNode!==null||a.material.aoMap){const ee=this.aoNode!==null?this.aoNode:z9;x.push(new bQ(ee))}let z=this.lightsNode||a.lightsNode;return x.length>0&&(z=a.renderer.lighting.createNode([...z.getLights(),...x])),z}setupLightingModel(){}setupLighting(a){const{material:x}=a,{backdropNode:y,backdropAlphaNode:E,emissiveNode:z}=this,te=this.lights===!0||this.lightsNode!==null?this.setupLights(a):null;let ne=this.setupOutgoingLight(a);if(te&&te.getScope().hasLights){const ie=this.setupLightingModel(a)||null;ne=J9(te,ie,y,E)}else y!==null&&(ne=sn(E!==null?Qo(ne,y,E):y));return(z&&z.isNode===!0||x.emissive&&x.emissive.isColor===!0)&&(iP.assign(sn(z||p9)),ne=ne.add(iP)),ne}setupFog(a,x){const y=a.fogNode;return y&&(fx.assign(x),x=ns(y.toVar())),x}setupPremultipliedAlpha(a,x){return iI(x)}setupOutput(a,x){return this.fog===!0&&(x=this.setupFog(a,x)),this.premultipliedAlpha===!0&&(x=this.setupPremultipliedAlpha(a,x)),x}setDefaultValues(a){for(const y in a){const E=a[y];this[y]===void 0&&(this[y]=E,E&&E.clone&&(this[y]=E.clone()))}const x=Object.getOwnPropertyDescriptors(a.constructor.prototype);for(const y in x)Object.getOwnPropertyDescriptor(this.constructor.prototype,y)===void 0&&x[y].get!==void 0&&Object.defineProperty(this.constructor.prototype,y,x[y])}toJSON(a){const x=a===void 0||typeof a=="string";x&&(a={textures:{},images:{},nodes:{}});const y=Pd.prototype.toJSON.call(this,a);y.inputNodes={};for(const{property:z,childNode:ee}of this._getNodeChildren())y.inputNodes[z]=ee.toJSON(a).uuid;function E(z){const ee=[];for(const te in z){const ne=z[te];delete ne.metadata,ee.push(ne)}return ee}if(x){const z=E(a.textures),ee=E(a.images),te=E(a.nodes);z.length>0&&(y.textures=z),ee.length>0&&(y.images=ee),te.length>0&&(y.nodes=te)}return y}copy(a){return this.lightsNode=a.lightsNode,this.envNode=a.envNode,this.aoNode=a.aoNode,this.colorNode=a.colorNode,this.normalNode=a.normalNode,this.opacityNode=a.opacityNode,this.backdropNode=a.backdropNode,this.backdropAlphaNode=a.backdropAlphaNode,this.alphaTestNode=a.alphaTestNode,this.maskNode=a.maskNode,this.positionNode=a.positionNode,this.geometryNode=a.geometryNode,this.depthNode=a.depthNode,this.receivedShadowPositionNode=a.receivedShadowPositionNode,this.castShadowPositionNode=a.castShadowPositionNode,this.receivedShadowNode=a.receivedShadowNode,this.castShadowNode=a.castShadowNode,this.outputNode=a.outputNode,this.mrtNode=a.mrtNode,this.fragmentNode=a.fragmentNode,this.vertexNode=a.vertexNode,super.copy(a)}}const jQ=new Jd;class VQ extends Bu{static get type(){return"LineBasicNodeMaterial"}constructor(a){super(),this.isLineBasicNodeMaterial=!0,this.setDefaultValues(jQ),this.setValues(a)}}const GQ=new Q3;class XQ extends Bu{static get type(){return"LineDashedNodeMaterial"}constructor(a){super(),this.isLineDashedNodeMaterial=!0,this.setDefaultValues(GQ),this.dashOffset=0,this.offsetNode=null,this.dashScaleNode=null,this.dashSizeNode=null,this.gapSizeNode=null,this.setValues(a)}setupVariants(){const a=this.offsetNode?lt(this.offsetNode):nS,x=this.dashScaleNode?lt(this.dashScaleNode):$P,y=this.dashSizeNode?lt(this.dashSizeNode):eS,E=this.gapSizeNode?lt(this.gapSizeNode):tS;Wv.assign(y),Oy.assign(E);const z=Wm(wf("lineDistance").mul(x));(a?z.add(a):z).mod(Wv.add(Oy)).greaterThan(Wv).discard()}}let xw=null;class WQ extends vw{static get type(){return"ViewportSharedTextureNode"}constructor(a=qg,x=null){xw===null&&(xw=new b3),super(a,x,xw)}getTextureForReference(){return xw}updateReference(){return this}}const sI=Sa(WQ).setParameterLength(0,2),QQ=new Q3;class ife extends null{static get type(){return"Line2NodeMaterial"}constructor(a={}){super(),this.isLine2NodeMaterial=!0,this.setDefaultValues(QQ),this.useColor=a.vertexColors,this.dashOffset=0,this.lineColorNode=null,this.offsetNode=null,this.dashScaleNode=null,this.dashSizeNode=null,this.gapSizeNode=null,this.blending=NoBlending,this._useDash=a.dashed,this._useAlphaToCoverage=!0,this._useWorldUnits=!1,this.setValues(a)}setup(a){const{renderer:x}=a,y=this._useAlphaToCoverage,E=this.useColor,z=this._useDash,ee=this._useWorldUnits,te=hn(({start:ie,end:ae})=>{const oe=sp.element(2).element(2),he=sp.element(3).element(2).mul(-.5).div(oe).sub(ie.z).div(ae.z.sub(ie.z));return ns(Qo(ie.xyz,ae.xyz,he),ae.w)}).setLayout({name:"trimSegment",type:"vec4",inputs:[{name:"start",type:"vec4"},{name:"end",type:"vec4"}]});this.vertexNode=hn(()=>{const ie=wf("instanceStart"),ae=wf("instanceEnd"),oe=ns(e0.mul(ns(ie,1))).toVar("start"),le=ns(e0.mul(ns(ae,1))).toVar("end");if(z){const Le=this.dashScaleNode?lt(this.dashScaleNode):$P,De=this.offsetNode?lt(this.offsetNode):nS,ke=wf("instanceDistanceStart"),ze=wf("instanceDistanceEnd");let He=Bd.y.lessThan(.5).select(Le.mul(ke),Le.mul(ze));He=He.add(De),Eh("float","lineDistance").assign(He)}ee&&(Eh("vec3","worldStart").assign(oe.xyz),Eh("vec3","worldEnd").assign(le.xyz));const ue=gx.z.div(gx.w),he=sp.element(2).element(3).equal(-1);Ms(he,()=>{Ms(oe.z.lessThan(0).and(le.z.greaterThan(0)),()=>{le.assign(te({start:oe,end:le}))}).ElseIf(le.z.lessThan(0).and(oe.z.greaterThanEqual(0)),()=>{oe.assign(te({start:le,end:oe}))})});const xe=sp.mul(oe),ve=sp.mul(le),me=xe.xyz.div(xe.w),Pe=ve.xyz.div(ve.w),we=Pe.xy.sub(me.xy).toVar();we.x.assign(we.x.mul(ue)),we.assign(we.normalize());const Me=ns().toVar();if(ee){const Le=le.xyz.sub(oe.xyz).normalize(),De=Qo(oe.xyz,le.xyz,.5).normalize(),ke=Le.cross(De).normalize(),ze=Le.cross(ke),He=Eh("vec4","worldPos");He.assign(Bd.y.lessThan(.5).select(oe,le));const Re=gw.mul(.5);He.addAssign(ns(Bd.x.lessThan(0).select(ke.mul(Re),ke.mul(Re).negate()),0)),z||(He.addAssign(ns(Bd.y.lessThan(.5).select(Le.mul(Re).negate(),Le.mul(Re)),0)),He.addAssign(ns(ze.mul(Re),0)),Ms(Bd.y.greaterThan(1).or(Bd.y.lessThan(0)),()=>{He.subAssign(ns(ze.mul(2).mul(Re),0))})),Me.assign(sp.mul(He));const Fe=sn().toVar();Fe.assign(Bd.y.lessThan(.5).select(me,Pe)),Me.z.assign(Fe.z.mul(Me.w))}else{const Le=Br(we.y,we.x.negate()).toVar("offset");we.x.assign(we.x.div(ue)),Le.x.assign(Le.x.div(ue)),Le.assign(Bd.x.lessThan(0).select(Le.negate(),Le)),Ms(Bd.y.lessThan(0),()=>{Le.assign(Le.sub(we))}).ElseIf(Bd.y.greaterThan(1),()=>{Le.assign(Le.add(we))}),Le.assign(Le.mul(gw)),Le.assign(Le.div(gx.w)),Me.assign(Bd.y.lessThan(.5).select(xe,ve)),Le.assign(Le.mul(Me.w)),Me.assign(Me.add(ns(Le,0,0)))}return Me})();const ne=hn(({p1:ie,p2:ae,p3:oe,p4:le})=>{const ue=ie.sub(oe),he=le.sub(oe),xe=ae.sub(ie),ve=ue.dot(he),me=he.dot(xe),Pe=ue.dot(xe),we=he.dot(he),Le=xe.dot(xe).mul(we).sub(me.mul(me)),ke=ve.mul(me).sub(Pe.mul(we)).div(Le).clamp(),ze=ve.add(me.mul(ke)).div(we).clamp();return Br(ke,ze)});if(this.colorNode=hn(()=>{const ie=Pl();if(z){const le=this.dashSizeNode?lt(this.dashSizeNode):eS,ue=this.gapSizeNode?lt(this.gapSizeNode):tS;Wv.assign(le),Oy.assign(ue);const he=Eh("float","lineDistance");ie.y.lessThan(-1).or(ie.y.greaterThan(1)).discard(),he.mod(Wv.add(Oy)).greaterThan(Wv).discard()}const ae=lt(1).toVar("alpha");if(ee){const le=Eh("vec3","worldStart"),ue=Eh("vec3","worldEnd"),he=Eh("vec4","worldPos").xyz.normalize().mul(1e5),xe=ue.sub(le),ve=ne({p1:le,p2:ue,p3:sn(0,0,0),p4:he}),me=le.add(xe.mul(ve.x)),Pe=he.mul(ve.y),Le=me.sub(Pe).length().div(gw);if(!z)if(y&&x.currentSamples>0){const De=Le.fwidth();ae.assign(Ch(De.negate().add(.5),De.add(.5),Le).oneMinus())}else Le.greaterThan(.5).discard()}else if(y&&x.currentSamples>0){const le=ie.x,ue=ie.y.greaterThan(0).select(ie.y.sub(1),ie.y.add(1)),he=le.mul(le).add(ue.mul(ue)),xe=lt(he.fwidth()).toVar("dlen");Ms(ie.y.abs().greaterThan(1),()=>{ae.assign(Ch(xe.oneMinus(),xe.add(1),he).oneMinus())})}else Ms(ie.y.abs().greaterThan(1),()=>{const le=ie.x,ue=ie.y.greaterThan(0).select(ie.y.sub(1),ie.y.add(1));le.mul(le).add(ue.mul(ue)).greaterThan(1).discard()});let oe;if(this.lineColorNode)oe=this.lineColorNode;else if(E){const le=wf("instanceColorStart"),ue=wf("instanceColorEnd");oe=Bd.y.lessThan(.5).select(le,ue).mul(hw)}else oe=hw;return ns(oe,ae)})(),this.transparent){const ie=this.opacityNode?lt(this.opacityNode):pw;this.outputNode=ns(this.colorNode.rgb.mul(ie).add(sI().rgb.mul(ie.oneMinus())),this.colorNode.a)}super.setup(a)}get worldUnits(){return this._useWorldUnits}set worldUnits(a){this._useWorldUnits!==a&&(this._useWorldUnits=a,this.needsUpdate=!0)}get dashed(){return this._useDash}set dashed(a){this._useDash!==a&&(this._useDash=a,this.needsUpdate=!0)}get alphaToCoverage(){return this._useAlphaToCoverage}set alphaToCoverage(a){this._useAlphaToCoverage!==a&&(this._useAlphaToCoverage=a,this.needsUpdate=!0)}}const aI=b=>Sr(b).mul(.5).add(.5),ZQ=b=>Sr(b).mul(2).sub(1),YQ=new T8;class JQ extends Bu{static get type(){return"MeshNormalNodeMaterial"}constructor(a){super(),this.isMeshNormalNodeMaterial=!0,this.setDefaultValues(YQ),this.setValues(a)}setupDiffuseColor(){const a=this.opacityNode?lt(this.opacityNode):pw;Wo.assign(rw(ns(aI(ll),a),yt))}}const fS=hn(([b=jP])=>{const a=b.z.atan(b.x).mul(1/(Math.PI*2)).add(.5),x=b.y.clamp(-1,1).asin().mul(1/Math.PI).add(.5);return Br(a,x)});class oI extends jB{constructor(a=1,x={}){super(a,x),this.isCubeRenderTarget=!0}fromEquirectangularTexture(a,x){const y=x.minFilter,E=x.generateMipmaps;x.generateMipmaps=!0,this.texture.type=x.type,this.texture.colorSpace=x.colorSpace,this.texture.generateMipmaps=x.generateMipmaps,this.texture.minFilter=x.minFilter,this.texture.magFilter=x.magFilter;const z=new L0(5,5,5),ee=fS(jP),te=new Bu;te.colorNode=go(x,ee,0),te.side=co,te.blending=tu;const ne=new Il(z,te),ie=new ty;ie.add(ne),x.minFilter===Wu&&(x.minFilter=Co);const ae=new UB(1,10,this),oe=a.getMRT();return a.setMRT(null),ae.update(a,ie),a.setMRT(oe),x.minFilter=y,x.currentGenerateMipmaps=E,ne.geometry.dispose(),ne.material.dispose(),this}}const Ky=new WeakMap;class KQ extends Ju{static get type(){return"CubeMapNode"}constructor(a){super("vec3"),this.envNode=a,this._cubeTexture=null,this._cubeTextureNode=xx(null);const x=new xv;x.isRenderTargetTexture=!0,this._defaultTexture=x,this.updateBeforeType=Ua.RENDER}updateBefore(a){const{renderer:x,material:y}=a,E=this.envNode;if(E.isTextureNode||E.isMaterialReferenceNode){const z=E.isTextureNode?E.value:y[E.property];if(z&&z.isTexture){const ee=z.mapping;if(ee===ol||ee===Vd){if(Ky.has(z)){const te=Ky.get(z);uI(te,z.mapping),this._cubeTexture=te}else{const te=z.image;if(qQ(te)){const ne=new oI(te.height);ne.fromEquirectangularTexture(x,z),uI(ne.texture,z.mapping),this._cubeTexture=ne.texture,Ky.set(z,ne.texture),z.addEventListener("dispose",lI)}else this._cubeTexture=this._defaultTexture}this._cubeTextureNode.value=this._cubeTexture}else this._cubeTextureNode=this.envNode}}}setup(a){return this.updateBefore(a),this._cubeTextureNode}}function qQ(b){return b==null?!1:b.height>0}function lI(b){const a=b.target;a.removeEventListener("dispose",lI);const x=Ky.get(a);x!==void 0&&(Ky.delete(a),x.dispose())}function uI(b,a){a===ol?b.mapping=xa:a===Vd&&(b.mapping=fo)}const cI=Sa(KQ).setParameterLength(1);class hS extends bx{static get type(){return"BasicEnvironmentNode"}constructor(a=null){super(),this.envNode=a}setup(a){a.context.environment=cI(this.envNode)}}class _Q extends bx{static get type(){return"BasicLightMapNode"}constructor(a=null){super(),this.lightMapNode=a}setup(a){const x=lt(1/Math.PI);a.context.irradianceLightMap=this.lightMapNode.mul(x)}}class yw{start(a){a.lightsNode.setupLights(a,a.lightsNode.getLightNodes(a)),this.indirect(a)}finish(){}direct(){}directRectArea(){}indirect(){}ambientOcclusion(){}}class dI extends yw{constructor(){super()}indirect({context:a}){const x=a.ambientOcclusion,y=a.reflectedLight,E=a.irradianceLightMap;y.indirectDiffuse.assign(ns(0)),E?y.indirectDiffuse.addAssign(E):y.indirectDiffuse.addAssign(ns(1,1,1,0)),y.indirectDiffuse.mulAssign(x),y.indirectDiffuse.mulAssign(Wo.rgb)}finish(a){const{material:x,context:y}=a,E=y.outgoingLight,z=a.context.environment;if(z)switch(x.combine){case lh:E.rgb.assign(Qo(E.rgb,E.rgb.mul(z.rgb),Jy.mul(mw)));break;case vm:E.rgb.assign(Qo(E.rgb,z.rgb,Jy.mul(mw)));break;case Eg:E.rgb.addAssign(z.rgb.mul(Jy.mul(mw)));break;default:wn("BasicLightingModel: Unsupported .combine value:",x.combine);break}}}const $Q=new od;class eZ extends Bu{static get type(){return"MeshBasicNodeMaterial"}constructor(a){super(),this.isMeshBasicNodeMaterial=!0,this.lights=!0,this.setDefaultValues($Q),this.setValues(a)}setupNormal(){return vx(Ax)}setupEnvironment(a){const x=super.setupEnvironment(a);return x?new hS(x):null}setupLightMap(a){let x=null;return a.material.lightMap&&(x=new _Q(rS)),x}setupOutgoingLight(){return Wo.rgb}setupLightingModel(){return new dI}}const Px=hn(({f0:b,f90:a,dotVH:x})=>{const y=x.mul(-5.55473).sub(6.98316).mul(x).exp2();return b.mul(y.oneMinus()).add(a.mul(y))}),qv=hn(b=>b.diffuseColor.mul(1/Math.PI)),tZ=()=>lt(.25),nZ=hn(({dotNH:b})=>YE.mul(lt(.5)).add(1).mul(lt(1/Math.PI)).mul(b.pow(YE))),rZ=hn(({lightDirection:b})=>{const a=b.add(ru).normalize(),x=ll.dot(a).clamp(),y=ru.dot(a).clamp(),E=Px({f0:np,f90:1,dotVH:y}),z=tZ(),ee=nZ({dotNH:x});return E.mul(z).mul(ee)});class fI extends dI{constructor(a=!0){super(),this.specular=a}direct({lightDirection:a,lightColor:x,reflectedLight:y}){const z=ll.dot(a).clamp().mul(x);y.directDiffuse.addAssign(z.mul(qv({diffuseColor:Wo.rgb}))),this.specular===!0&&y.directSpecular.addAssign(z.mul(rZ({lightDirection:a})).mul(Jy))}indirect(a){const{ambientOcclusion:x,irradiance:y,reflectedLight:E}=a.context;E.indirectDiffuse.addAssign(y.mul(qv({diffuseColor:Wo}))),E.indirectDiffuse.mulAssign(x)}}const iZ=new W3;class sZ extends Bu{static get type(){return"MeshLambertNodeMaterial"}constructor(a){super(),this.isMeshLambertNodeMaterial=!0,this.lights=!0,this.setDefaultValues(iZ),this.setValues(a)}setupEnvironment(a){const x=super.setupEnvironment(a);return x?new hS(x):null}setupLightingModel(){return new fI(!1)}}const aZ=new X3;class oZ extends Bu{static get type(){return"MeshPhongNodeMaterial"}constructor(a){super(),this.isMeshPhongNodeMaterial=!0,this.lights=!0,this.shininessNode=null,this.specularNode=null,this.setDefaultValues(aZ),this.setValues(a)}setupEnvironment(a){const x=super.setupEnvironment(a);return x?new hS(x):null}setupLightingModel(){return new fI}setupVariants(){const a=(this.shininessNode?lt(this.shininessNode):h9).max(1e-4);YE.assign(a);const x=this.specularNode||m9;np.assign(x)}copy(a){return this.shininessNode=a.shininessNode,this.specularNode=a.specularNode,super.copy(a)}}const hI=hn(b=>{if(b.geometry.hasAttribute("normal")===!1)return lt(0);const a=Ax.dFdx().abs().max(Ax.dFdy().abs());return a.x.max(a.y).max(a.z)}),pS=hn(b=>{const{roughness:a}=b,x=hI();let y=a.max(.0525);return y=y.add(x),y=y.min(1),y}),pI=hn(({alpha:b,dotNL:a,dotNV:x})=>{const y=b.pow2(),E=a.mul(y.add(y.oneMinus().mul(x.pow2())).sqrt()),z=x.mul(y.add(y.oneMinus().mul(a.pow2())).sqrt());return wh(.5,E.add(z).max(pP))}).setLayout({name:"V_GGX_SmithCorrelated",type:"float",inputs:[{name:"alpha",type:"float"},{name:"dotNL",type:"float"},{name:"dotNV",type:"float"}]}),lZ=hn(({alphaT:b,alphaB:a,dotTV:x,dotBV:y,dotTL:E,dotBL:z,dotNV:ee,dotNL:te})=>{const ne=te.mul(sn(b.mul(x),a.mul(y),ee).length()),ie=ee.mul(sn(b.mul(E),a.mul(z),te).length());return wh(.5,ne.add(ie)).saturate()}).setLayout({name:"V_GGX_SmithCorrelated_Anisotropic",type:"float",inputs:[{name:"alphaT",type:"float",qualifier:"in"},{name:"alphaB",type:"float",qualifier:"in"},{name:"dotTV",type:"float",qualifier:"in"},{name:"dotBV",type:"float",qualifier:"in"},{name:"dotTL",type:"float",qualifier:"in"},{name:"dotBL",type:"float",qualifier:"in"},{name:"dotNV",type:"float",qualifier:"in"},{name:"dotNL",type:"float",qualifier:"in"}]}),mI=hn(({alpha:b,dotNH:a})=>{const x=b.pow2(),y=a.pow2().mul(x.oneMinus()).oneMinus();return x.div(y.pow2()).mul(1/Math.PI)}).setLayout({name:"D_GGX",type:"float",inputs:[{name:"alpha",type:"float"},{name:"dotNH",type:"float"}]}),uZ=lt(1/Math.PI),cZ=hn(({alphaT:b,alphaB:a,dotNH:x,dotTH:y,dotBH:E})=>{const z=b.mul(a),ee=sn(a.mul(y),b.mul(E),z.mul(x)),te=ee.dot(ee),ne=z.div(te);return uZ.mul(z.mul(ne.pow2()))}).setLayout({name:"D_GGX_Anisotropic",type:"float",inputs:[{name:"alphaT",type:"float",qualifier:"in"},{name:"alphaB",type:"float",qualifier:"in"},{name:"dotNH",type:"float",qualifier:"in"},{name:"dotTH",type:"float",qualifier:"in"},{name:"dotBH",type:"float",qualifier:"in"}]}),mS=hn(({lightDirection:b,f0:a,f90:x,roughness:y,f:E,normalView:z=ll,USE_IRIDESCENCE:ee,USE_ANISOTROPY:te})=>{const ne=y.pow2(),ie=b.add(ru).normalize(),ae=z.dot(b).clamp(),oe=z.dot(ru).clamp(),le=z.dot(ie).clamp(),ue=ru.dot(ie).clamp();let he=Px({f0:a,f90:x,dotVH:ue}),xe,ve;if(Ty(ee)&&(he=QE.mix(he,E)),Ty(te)){const me=Ly.dot(b),Pe=Ly.dot(ru),we=Ly.dot(ie),Me=Xv.dot(b),Le=Xv.dot(ru),De=Xv.dot(ie);xe=lZ({alphaT:ZE,alphaB:ne,dotTV:Pe,dotBV:Le,dotTL:me,dotBL:Me,dotNV:oe,dotNL:ae}),ve=cZ({alphaT:ZE,alphaB:ne,dotNH:le,dotTH:we,dotBH:De})}else xe=pI({alpha:ne,dotNL:ae,dotNV:oe}),ve=mI({alpha:ne,dotNH:le});return he.mul(xe).mul(ve)}),dZ=new 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n0=null;const qy=hn(({roughness:b,dotNV:a})=>{n0===null&&(n0=new _h(dZ,32,32,vf,bl),n0.minFilter=Co,n0.magFilter=Co,n0.wrapS=Xu,n0.wrapT=Xu,n0.generateMipmaps=!1,n0.needsUpdate=!0);const x=Br(b,a);return go(n0,x).rg}),fZ=hn(({lightDirection:b,f0:a,f90:x,roughness:y,f:E,USE_IRIDESCENCE:z,USE_ANISOTROPY:ee})=>{const te=mS({lightDirection:b,f0:a,f90:x,roughness:y,f:E,USE_IRIDESCENCE:z,USE_ANISOTROPY:ee}),ne=ll.dot(b).clamp(),ie=ll.dot(ru).clamp(),ae=qy({roughness:y,dotNV:ie}),oe=qy({roughness:y,dotNV:ne}),le=a.mul(ae.x).add(x.mul(ae.y)),ue=a.mul(oe.x).add(x.mul(oe.y)),he=ae.x.add(ae.y),xe=oe.x.add(oe.y),ve=lt(1).sub(he),me=lt(1).sub(xe),Pe=a.add(a.oneMinus().mul(.047619)),we=le.mul(ue).mul(Pe).div(lt(1).sub(ve.mul(me).mul(Pe).mul(Pe)).add(pP)),Me=ve.mul(me),Le=we.mul(Me);return te.add(Le)}),gI=hn(b=>{const{dotNV:a,specularColor:x,specularF90:y,roughness:E}=b,z=qy({dotNV:a,roughness:E});return x.mul(z.x).add(y.mul(z.y))}),vI=hn(({f:b,f90:a,dotVH:x})=>{const y=x.oneMinus().saturate(),E=y.mul(y),z=y.mul(E,E).clamp(0,.9999);return b.sub(sn(a).mul(z)).div(z.oneMinus())}).setLayout({name:"Schlick_to_F0",type:"vec3",inputs:[{name:"f",type:"vec3"},{name:"f90",type:"float"},{name:"dotVH",type:"float"}]}),hZ=hn(({roughness:b,dotNH:a})=>{const x=b.pow2(),y=lt(1).div(x),z=a.pow2().oneMinus().max(.0078125);return lt(2).add(y).mul(z.pow(y.mul(.5))).div(2*Math.PI)}).setLayout({name:"D_Charlie",type:"float",inputs:[{name:"roughness",type:"float"},{name:"dotNH",type:"float"}]}),pZ=hn(({dotNV:b,dotNL:a})=>lt(1).div(lt(4).mul(a.add(b).sub(a.mul(b))))).setLayout({name:"V_Neubelt",type:"float",inputs:[{name:"dotNV",type:"float"},{name:"dotNL",type:"float"}]}),mZ=hn(({lightDirection:b})=>{const a=b.add(ru).normalize(),x=ll.dot(b).clamp(),y=ll.dot(ru).clamp(),E=ll.dot(a).clamp(),z=hZ({roughness:WE,dotNH:E}),ee=pZ({dotNV:y,dotNL:x});return Gv.mul(z).mul(ee)}),gZ=hn(({N:b,V:a,roughness:x})=>{const z=.0078125,ee=b.dot(a).saturate(),te=Br(x,ee.oneMinus().sqrt());return te.assign(te.mul(.984375).add(z)),te}).setLayout({name:"LTC_Uv",type:"vec2",inputs:[{name:"N",type:"vec3"},{name:"V",type:"vec3"},{name:"roughness",type:"float"}]}),AI=hn(({f:b})=>{const a=b.length();return du(a.mul(a).add(b.z).div(a.add(1)),0)}).setLayout({name:"LTC_ClippedSphereFormFactor",type:"float",inputs:[{name:"f",type:"vec3"}]}),W0=hn(({v1:b,v2:a})=>{const x=b.dot(a),y=x.abs().toVar(),E=y.mul(.0145206).add(.4965155).mul(y).add(.8543985).toVar(),z=y.add(4.1616724).mul(y).add(3.417594).toVar(),ee=E.div(z),te=x.greaterThan(0).select(ee,du(x.mul(x).oneMinus(),1e-7).inverseSqrt().mul(.5).sub(ee));return b.cross(a).mul(te)}).setLayout({name:"LTC_EdgeVectorFormFactor",type:"vec3",inputs:[{name:"v1",type:"vec3"},{name:"v2",type:"vec3"}]}),xI=hn(({N:b,V:a,P:x,mInv:y,p0:E,p1:z,p2:ee,p3:te})=>{const ne=z.sub(E).toVar(),ie=te.sub(E).toVar(),ae=ne.cross(ie),oe=sn().toVar();return Ms(ae.dot(x.sub(E)).greaterThanEqual(0),()=>{const le=a.sub(b.mul(a.dot(b))).normalize(),ue=b.cross(le).negate(),he=y.mul(_d(le,ue,b).transpose()).toVar(),xe=he.mul(E.sub(x)).normalize().toVar(),ve=he.mul(z.sub(x)).normalize().toVar(),me=he.mul(ee.sub(x)).normalize().toVar(),Pe=he.mul(te.sub(x)).normalize().toVar(),we=sn(0).toVar();we.addAssign(W0({v1:xe,v2:ve})),we.addAssign(W0({v1:ve,v2:me})),we.addAssign(W0({v1:me,v2:Pe})),we.addAssign(W0({v1:Pe,v2:xe})),oe.assign(sn(AI({f:we})))}),oe}).setLayout({name:"LTC_Evaluate",type:"vec3",inputs:[{name:"N",type:"vec3"},{name:"V",type:"vec3"},{name:"P",type:"vec3"},{name:"mInv",type:"mat3"},{name:"p0",type:"vec3"},{name:"p1",type:"vec3"},{name:"p2",type:"vec3"},{name:"p3",type:"vec3"}]}),vZ=hn(({P:b,p0:a,p1:x,p2:y,p3:E})=>{const z=x.sub(a).toVar(),ee=E.sub(a).toVar(),te=z.cross(ee),ne=sn().toVar();return Ms(te.dot(b.sub(a)).greaterThanEqual(0),()=>{const ie=a.sub(b).normalize().toVar(),ae=x.sub(b).normalize().toVar(),oe=y.sub(b).normalize().toVar(),le=E.sub(b).normalize().toVar(),ue=sn(0).toVar();ue.addAssign(W0({v1:ie,v2:ae})),ue.addAssign(W0({v1:ae,v2:oe})),ue.addAssign(W0({v1:oe,v2:le})),ue.addAssign(W0({v1:le,v2:ie})),ne.assign(sn(AI({f:ue.abs()})))}),ne}).setLayout({name:"LTC_Evaluate",type:"vec3",inputs:[{name:"P",type:"vec3"},{name:"p0",type:"vec3"},{name:"p1",type:"vec3"},{name:"p2",type:"vec3"},{name:"p3",type:"vec3"}]}),bw=1/6,yI=b=>Ia(bw,Ia(b,Ia(b,b.negate().add(3)).sub(3)).add(1)),gS=b=>Ia(bw,Ia(b,Ia(b,Ia(3,b).sub(6))).add(4)),bI=b=>Ia(bw,Ia(b,Ia(b,Ia(-3,b).add(3)).add(3)).add(1)),vS=b=>Ia(bw,rp(b,3)),EI=b=>yI(b).add(gS(b)),wI=b=>bI(b).add(vS(b)),CI=b=>Ac(-1,gS(b).div(yI(b).add(gS(b)))),PI=b=>Ac(1,vS(b).div(bI(b).add(vS(b)))),SI=(b,a,x)=>{const y=b.uvNode,E=Ia(y,a.zw).add(.5),z=Vm(E),ee=$p(E),te=EI(ee.x),ne=wI(ee.x),ie=CI(ee.x),ae=PI(ee.x),oe=CI(ee.y),le=PI(ee.y),ue=Br(z.x.add(ie),z.y.add(oe)).sub(.5).mul(a.xy),he=Br(z.x.add(ae),z.y.add(oe)).sub(.5).mul(a.xy),xe=Br(z.x.add(ie),z.y.add(le)).sub(.5).mul(a.xy),ve=Br(z.x.add(ae),z.y.add(le)).sub(.5).mul(a.xy),me=EI(ee.y).mul(Ac(te.mul(b.sample(ue).level(x)),ne.mul(b.sample(he).level(x)))),Pe=wI(ee.y).mul(Ac(te.mul(b.sample(xe).level(x)),ne.mul(b.sample(ve).level(x))));return me.add(Pe)},AS=hn(([b,a])=>{const x=Br(b.size(Jt(a))),y=Br(b.size(Jt(a.add(1)))),E=wh(1,x),z=wh(1,y),ee=SI(b,ns(E,x),Vm(a)),te=SI(b,ns(z,y),$E(a));return $p(a).mix(ee,te)}),AZ=hn(([b,a])=>{const x=a.mul(RP(b));return AS(b,x)}),BI=hn(([b,a,x,y,E])=>{const z=sn(SP(a.negate(),Vf(b),wh(1,y))),ee=sn(Xm(E[0].xyz),Xm(E[1].xyz),Xm(E[2].xyz));return Vf(z).mul(x.mul(ee))}).setLayout({name:"getVolumeTransmissionRay",type:"vec3",inputs:[{name:"n",type:"vec3"},{name:"v",type:"vec3"},{name:"thickness",type:"float"},{name:"ior",type:"float"},{name:"modelMatrix",type:"mat4"}]}),xZ=hn(([b,a])=>b.mul(ip(a.mul(2).sub(2),0,1))).setLayout({name:"applyIorToRoughness",type:"float",inputs:[{name:"roughness",type:"float"},{name:"ior",type:"float"}]}),yZ=aS(),bZ=aS(),MI=hn(([b,a,x],{material:y})=>{const z=(y.side===co?yZ:bZ).sample(b),ee=jm(Zv.x).mul(xZ(a,x));return AS(z,ee)}),TI=hn(([b,a,x])=>(Ms(x.notEqual(0),()=>{const y=_E(a).negate().div(x);return mP(y.negate().mul(b))}),sn(1))).setLayout({name:"volumeAttenuation",type:"vec3",inputs:[{name:"transmissionDistance",type:"float"},{name:"attenuationColor",type:"vec3"},{name:"attenuationDistance",type:"float"}]}),EZ=hn(([b,a,x,y,E,z,ee,te,ne,ie,ae,oe,le,ue,he])=>{let xe,ve;if(he){xe=ns().toVar(),ve=sn().toVar();const Le=ae.sub(1).mul(he.mul(.025)),De=sn(ae.sub(Le),ae,ae.add(Le));ml({start:0,end:3},({i:ke})=>{const ze=De.element(ke),He=BI(b,a,oe,ze,te),Re=ee.add(He),Fe=ie.mul(ne.mul(ns(Re,1))),$e=Br(Fe.xy.div(Fe.w)).toVar();$e.addAssign(1),$e.divAssign(2),$e.assign(Br($e.x,$e.y.oneMinus()));const pt=MI($e,x,ze);xe.element(ke).assign(pt.element(ke)),xe.a.addAssign(pt.a),ve.element(ke).assign(y.element(ke).mul(TI(Xm(He),le,ue).element(ke)))}),xe.a.divAssign(3)}else{const Le=BI(b,a,oe,ae,te),De=ee.add(Le),ke=ie.mul(ne.mul(ns(De,1))),ze=Br(ke.xy.div(ke.w)).toVar();ze.addAssign(1),ze.divAssign(2),ze.assign(Br(ze.x,ze.y.oneMinus())),xe=MI(ze,x,ae),ve=y.mul(TI(Xm(Le),le,ue))}const me=ve.rgb.mul(xe.rgb),Pe=b.dot(a).clamp(),we=sn(gI({dotNV:Pe,specularColor:E,specularF90:z,roughness:x})),Me=ve.r.add(ve.g,ve.b).div(3);return ns(we.oneMinus().mul(me),xe.a.oneMinus().mul(Me).oneMinus())}),wZ=_d(3.2404542,-.969266,.0556434,-1.5371385,1.8760108,-.2040259,-.4985314,.041556,1.0572252),CZ=b=>{const a=b.sqrt();return sn(1).add(a).div(sn(1).sub(a))},DI=(b,a)=>b.sub(a).div(b.add(a)).pow2(),PZ=(b,a)=>{const x=b.mul(2*Math.PI*1e-9),y=sn(54856e-17,44201e-17,52481e-17),E=sn(1681e3,1795300,2208400),z=sn(43278e5,93046e5,66121e5),ee=lt(9747e-17*Math.sqrt(2*Math.PI*45282e5)).mul(x.mul(2239900).add(a.x).cos()).mul(x.pow2().mul(-45282e5).exp());let te=y.mul(z.mul(2*Math.PI).sqrt()).mul(E.mul(x).add(a).cos()).mul(x.pow2().negate().mul(z).exp());return te=sn(te.x.add(ee),te.y,te.z).div(10685e-11),wZ.mul(te)},SZ=hn(({outsideIOR:b,eta2:a,cosTheta1:x,thinFilmThickness:y,baseF0:E})=>{const z=Qo(b,a,Ch(0,.03,y)),te=b.div(z).pow2().mul(x.pow2().oneMinus()).oneMinus();Ms(te.lessThan(0),()=>sn(1));const ne=te.sqrt(),ie=DI(z,b),ae=Px({f0:ie,f90:1,dotVH:x}),oe=ae.oneMinus(),le=z.lessThan(b).select(Math.PI,0),ue=lt(Math.PI).sub(le),he=CZ(E.clamp(0,.9999)),xe=DI(he,z.toVec3()),ve=Px({f0:xe,f90:1,dotVH:ne}),me=sn(he.x.lessThan(z).select(Math.PI,0),he.y.lessThan(z).select(Math.PI,0),he.z.lessThan(z).select(Math.PI,0)),Pe=z.mul(y,ne,2),we=sn(ue).add(me),Me=ae.mul(ve).clamp(1e-5,.9999),Le=Me.sqrt(),De=oe.pow2().mul(ve).div(sn(1).sub(Me)),ze=ae.add(De).toVar(),He=De.sub(oe).toVar();return ml({start:1,end:2,condition:"<=",name:"m"},({m:Re})=>{He.mulAssign(Le);const Fe=PZ(lt(Re).mul(Pe),lt(Re).mul(we)).mul(2);ze.addAssign(He.mul(Fe))}),ze.max(sn(0))}).setLayout({name:"evalIridescence",type:"vec3",inputs:[{name:"outsideIOR",type:"float"},{name:"eta2",type:"float"},{name:"cosTheta1",type:"float"},{name:"thinFilmThickness",type:"float"},{name:"baseF0",type:"vec3"}]}),BZ=hn(({normal:b,viewDir:a,roughness:x})=>{const y=b.dot(a).saturate(),E=x.pow2(),z=Fc(x.lessThan(.25),lt(-339.2).mul(E).add(lt(161.4).mul(x)).sub(25.9),lt(-8.48).mul(E).add(lt(14.3).mul(x)).sub(9.95)),ee=Fc(x.lessThan(.25),lt(44).mul(E).sub(lt(23.7).mul(x)).add(3.26),lt(1.97).mul(E).sub(lt(3.27).mul(x)).add(.72));return Fc(x.lessThan(.25),0,lt(.1).mul(x).sub(.025)).add(z.mul(y).add(ee).exp()).mul(1/Math.PI).saturate()}),xS=sn(.04),yS=lt(1);class II extends yw{constructor(a=!1,x=!1,y=!1,E=!1,z=!1,ee=!1){super(),this.clearcoat=a,this.sheen=x,this.iridescence=y,this.anisotropy=E,this.transmission=z,this.dispersion=ee,this.clearcoatRadiance=null,this.clearcoatSpecularDirect=null,this.clearcoatSpecularIndirect=null,this.sheenSpecularDirect=null,this.sheenSpecularIndirect=null,this.iridescenceFresnel=null,this.iridescenceF0=null}start(a){if(this.clearcoat===!0&&(this.clearcoatRadiance=sn().toVar("clearcoatRadiance"),this.clearcoatSpecularDirect=sn().toVar("clearcoatSpecularDirect"),this.clearcoatSpecularIndirect=sn().toVar("clearcoatSpecularIndirect")),this.sheen===!0&&(this.sheenSpecularDirect=sn().toVar("sheenSpecularDirect"),this.sheenSpecularIndirect=sn().toVar("sheenSpecularIndirect")),this.iridescence===!0){const x=ll.dot(ru).clamp();this.iridescenceFresnel=SZ({outsideIOR:lt(1),eta2:sP,cosTheta1:x,thinFilmThickness:aP,baseF0:np}),this.iridescenceF0=vI({f:this.iridescenceFresnel,f90:1,dotVH:x})}if(this.transmission===!0){const x=Sh,y=Zy.sub(Sh).normalize(),E=G0,z=a.context;z.backdrop=EZ(E,y,Um,Wo,np,Ry,x,op,Ph,sp,zy,oP,uP,lP,this.dispersion?cP:null),z.backdropAlpha=JE,Wo.a.mulAssign(Qo(1,z.backdrop.a,JE))}super.start(a)}computeMultiscattering(a,x,y){const E=ll.dot(ru).clamp(),z=qy({roughness:Um,dotNV:E}),ee=this.iridescenceF0?QE.mix(np,this.iridescenceF0):np,te=ee.mul(z.x).add(y.mul(z.y)),ie=z.x.add(z.y).oneMinus(),ae=ee.add(ee.oneMinus().mul(.047619)),oe=te.mul(ae).div(ie.mul(ae).oneMinus());a.addAssign(te),x.addAssign(oe.mul(ie))}direct({lightDirection:a,lightColor:x,reflectedLight:y}){const z=ll.dot(a).clamp().mul(x);if(this.sheen===!0&&this.sheenSpecularDirect.addAssign(z.mul(mZ({lightDirection:a}))),this.clearcoat===!0){const te=Yv.dot(a).clamp().mul(x);this.clearcoatSpecularDirect.addAssign(te.mul(mS({lightDirection:a,f0:xS,f90:yS,roughness:Fy,normalView:Yv})))}y.directDiffuse.addAssign(z.mul(qv({diffuseColor:Wo.rgb}))),y.directSpecular.addAssign(z.mul(fZ({lightDirection:a,f0:np,f90:1,roughness:Um,f:this.iridescenceFresnel,USE_IRIDESCENCE:this.iridescence,USE_ANISOTROPY:this.anisotropy})))}directRectArea({lightColor:a,lightPosition:x,halfWidth:y,halfHeight:E,reflectedLight:z,ltc_1:ee,ltc_2:te}){const ne=x.add(y).sub(E),ie=x.sub(y).sub(E),ae=x.sub(y).add(E),oe=x.add(y).add(E),le=ll,ue=ru,he=qu.toVar(),xe=gZ({N:le,V:ue,roughness:Um}),ve=ee.sample(xe).toVar(),me=te.sample(xe).toVar(),Pe=_d(sn(ve.x,0,ve.y),sn(0,1,0),sn(ve.z,0,ve.w)).toVar(),we=np.mul(me.x).add(np.oneMinus().mul(me.y)).toVar();z.directSpecular.addAssign(a.mul(we).mul(xI({N:le,V:ue,P:he,mInv:Pe,p0:ne,p1:ie,p2:ae,p3:oe}))),z.directDiffuse.addAssign(a.mul(Wo).mul(xI({N:le,V:ue,P:he,mInv:_d(1,0,0,0,1,0,0,0,1),p0:ne,p1:ie,p2:ae,p3:oe})))}indirect(a){this.indirectDiffuse(a),this.indirectSpecular(a),this.ambientOcclusion(a)}indirectDiffuse(a){const{irradiance:x,reflectedLight:y}=a.context;y.indirectDiffuse.addAssign(x.mul(qv({diffuseColor:Wo})))}indirectSpecular(a){const{radiance:x,iblIrradiance:y,reflectedLight:E}=a.context;if(this.sheen===!0&&this.sheenSpecularIndirect.addAssign(y.mul(Gv,BZ({normal:ll,viewDir:ru,roughness:WE}))),this.clearcoat===!0){const ae=Yv.dot(ru).clamp(),oe=gI({dotNV:ae,specularColor:xS,specularF90:yS,roughness:Fy});this.clearcoatSpecularIndirect.addAssign(this.clearcoatRadiance.mul(oe))}const z=sn().toVar("singleScattering"),ee=sn().toVar("multiScattering"),te=y.mul(1/Math.PI);this.computeMultiscattering(z,ee,Ry);const ne=z.add(ee),ie=Wo.mul(ne.r.max(ne.g).max(ne.b).oneMinus());E.indirectSpecular.addAssign(x.mul(z)),E.indirectSpecular.addAssign(ee.mul(te)),E.indirectDiffuse.addAssign(ie.mul(te))}ambientOcclusion(a){const{ambientOcclusion:x,reflectedLight:y}=a.context,z=ll.dot(ru).clamp().add(x),ee=Um.mul(-16).oneMinus().negate().exp2(),te=x.sub(z.pow(ee).oneMinus()).clamp();this.clearcoat===!0&&this.clearcoatSpecularIndirect.mulAssign(x),this.sheen===!0&&this.sheenSpecularIndirect.mulAssign(x),y.indirectDiffuse.mulAssign(x),y.indirectSpecular.mulAssign(te)}finish({context:a}){const{outgoingLight:x}=a;if(this.clearcoat===!0){const y=Yv.dot(ru).clamp(),E=Px({dotVH:y,f0:xS,f90:yS}),z=x.mul(XE.mul(E).oneMinus()).add(this.clearcoatSpecularDirect.add(this.clearcoatSpecularIndirect).mul(XE));x.assign(z)}if(this.sheen===!0){const y=Gv.r.max(Gv.g).max(Gv.b).mul(.157).oneMinus(),E=x.mul(y).add(this.sheenSpecularDirect,this.sheenSpecularIndirect);x.assign(E)}}}const NI=lt(1),bS=lt(-2),Ew=lt(.8),ES=lt(-1),ww=lt(.4),wS=lt(2),Cw=lt(.305),CS=lt(3),FI=lt(.21),MZ=lt(4),LI=lt(4),TZ=lt(16),DZ=hn(([b])=>{const a=sn(_l(b)).toVar(),x=lt(-1).toVar();return Ms(a.x.greaterThan(a.z),()=>{Ms(a.x.greaterThan(a.y),()=>{x.assign(Fc(b.x.greaterThan(0),0,3))}).Else(()=>{x.assign(Fc(b.y.greaterThan(0),1,4))})}).Else(()=>{Ms(a.z.greaterThan(a.y),()=>{x.assign(Fc(b.z.greaterThan(0),2,5))}).Else(()=>{x.assign(Fc(b.y.greaterThan(0),1,4))})}),x}).setLayout({name:"getFace",type:"float",inputs:[{name:"direction",type:"vec3"}]}),IZ=hn(([b,a])=>{const x=Br().toVar();return Ms(a.equal(0),()=>{x.assign(Br(b.z,b.y).div(_l(b.x)))}).ElseIf(a.equal(1),()=>{x.assign(Br(b.x.negate(),b.z.negate()).div(_l(b.y)))}).ElseIf(a.equal(2),()=>{x.assign(Br(b.x.negate(),b.y).div(_l(b.z)))}).ElseIf(a.equal(3),()=>{x.assign(Br(b.z.negate(),b.y).div(_l(b.x)))}).ElseIf(a.equal(4),()=>{x.assign(Br(b.x.negate(),b.z).div(_l(b.y)))}).Else(()=>{x.assign(Br(b.x,b.y).div(_l(b.z)))}),Ia(.5,x.add(1))}).setLayout({name:"getUV",type:"vec2",inputs:[{name:"direction",type:"vec3"},{name:"face",type:"float"}]}),NZ=hn(([b])=>{const a=lt(0).toVar();return Ms(b.greaterThanEqual(Ew),()=>{a.assign(NI.sub(b).mul(ES.sub(bS)).div(NI.sub(Ew)).add(bS))}).ElseIf(b.greaterThanEqual(ww),()=>{a.assign(Ew.sub(b).mul(wS.sub(ES)).div(Ew.sub(ww)).add(ES))}).ElseIf(b.greaterThanEqual(Cw),()=>{a.assign(ww.sub(b).mul(CS.sub(wS)).div(ww.sub(Cw)).add(wS))}).ElseIf(b.greaterThanEqual(FI),()=>{a.assign(Cw.sub(b).mul(MZ.sub(CS)).div(Cw.sub(FI)).add(CS))}).Else(()=>{a.assign(lt(-2).mul(jm(Ia(1.16,b))))}),a}).setLayout({name:"roughnessToMip",type:"float",inputs:[{name:"roughness",type:"float"}]}),RI=hn(([b,a])=>{const x=b.toVar();x.assign(Ia(2,x).sub(1));const y=sn(x,1).toVar();return Ms(a.equal(0),()=>{y.assign(y.zyx)}).ElseIf(a.equal(1),()=>{y.assign(y.xzy),y.xz.mulAssign(-1)}).ElseIf(a.equal(2),()=>{y.x.mulAssign(-1)}).ElseIf(a.equal(3),()=>{y.assign(y.zyx),y.xz.mulAssign(-1)}).ElseIf(a.equal(4),()=>{y.assign(y.xzy),y.xy.mulAssign(-1)}).ElseIf(a.equal(5),()=>{y.z.mulAssign(-1)}),y}).setLayout({name:"getDirection",type:"vec3",inputs:[{name:"uv",type:"vec2"},{name:"face",type:"float"}]}),OI=hn(([b,a,x,y,E,z])=>{const ee=lt(x),te=sn(a),ne=ip(NZ(ee),bS,z),ie=$p(ne),ae=Vm(ne),oe=sn(_y(b,te,ae,y,E,z)).toVar();return Ms(ie.notEqual(0),()=>{const le=sn(_y(b,te,ae.add(1),y,E,z)).toVar();oe.assign(Qo(oe,le,ie))}),oe}),_y=hn(([b,a,x,y,E,z])=>{const ee=lt(x).toVar(),te=sn(a),ne=lt(DZ(te)).toVar(),ie=lt(du(LI.sub(ee),0)).toVar();ee.assign(du(ee,LI));const ae=lt(hx(ee)).toVar(),oe=Br(IZ(te,ne).mul(ae.sub(2)).add(1)).toVar();return Ms(ne.greaterThan(2),()=>{oe.y.addAssign(ae),ne.subAssign(3)}),oe.x.addAssign(ne.mul(ae)),oe.x.addAssign(ie.mul(Ia(3,TZ))),oe.y.addAssign(Ia(4,hx(z).sub(ae))),oe.x.mulAssign(y),oe.y.mulAssign(E),b.sample(oe).grad(Br(),Br())}),PS=hn(({envMap:b,mipInt:a,outputDirection:x,theta:y,axis:E,CUBEUV_TEXEL_WIDTH:z,CUBEUV_TEXEL_HEIGHT:ee,CUBEUV_MAX_MIP:te})=>{const ne=Gm(y),ie=x.mul(ne).add(E.cross(x).mul(Gf(y))).add(E.mul(E.dot(x).mul(ne.oneMinus())));return _y(b,ie,a,z,ee,te)}),zI=hn(({n:b,latitudinal:a,poleAxis:x,outputDirection:y,weights:E,samples:z,dTheta:ee,mipInt:te,envMap:ne,CUBEUV_TEXEL_WIDTH:ie,CUBEUV_TEXEL_HEIGHT:ae,CUBEUV_MAX_MIP:oe})=>{const le=sn(Fc(a,x,Qv(x,y))).toVar();Ms(le.equal(sn(0)),()=>{le.assign(sn(y.z,0,y.x.negate()))}),le.assign(Vf(le));const ue=sn().toVar();return ue.addAssign(E.element(0).mul(PS({theta:0,axis:le,outputDirection:y,mipInt:te,envMap:ne,CUBEUV_TEXEL_WIDTH:ie,CUBEUV_TEXEL_HEIGHT:ae,CUBEUV_MAX_MIP:oe}))),ml({start:Jt(1),end:b},({i:he})=>{Ms(he.greaterThanEqual(z),()=>{Q9()});const xe=lt(ee.mul(lt(he))).toVar();ue.addAssign(E.element(he).mul(PS({theta:xe.mul(-1),axis:le,outputDirection:y,mipInt:te,envMap:ne,CUBEUV_TEXEL_WIDTH:ie,CUBEUV_TEXEL_HEIGHT:ae,CUBEUV_MAX_MIP:oe}))),ue.addAssign(E.element(he).mul(PS({theta:xe,axis:le,outputDirection:y,mipInt:te,envMap:ne,CUBEUV_TEXEL_WIDTH:ie,CUBEUV_TEXEL_HEIGHT:ae,CUBEUV_MAX_MIP:oe})))}),ns(ue,1)}),FZ=hn(([b])=>{const a=ai(b).toVar();return a.assign(a.shiftLeft(ai(16)).bitOr(a.shiftRight(ai(16)))),a.assign(a.bitAnd(ai(1431655765)).shiftLeft(ai(1)).bitOr(a.bitAnd(ai(2863311530)).shiftRight(ai(1)))),a.assign(a.bitAnd(ai(858993459)).shiftLeft(ai(2)).bitOr(a.bitAnd(ai(3435973836)).shiftRight(ai(2)))),a.assign(a.bitAnd(ai(252645135)).shiftLeft(ai(4)).bitOr(a.bitAnd(ai(4042322160)).shiftRight(ai(4)))),a.assign(a.bitAnd(ai(16711935)).shiftLeft(ai(8)).bitOr(a.bitAnd(ai(4278255360)).shiftRight(ai(8)))),lt(a).mul(23283064365386963e-26)}),LZ=hn(([b,a])=>Br(lt(b).div(lt(a)),FZ(b))),RZ=hn(([b,a,x])=>{const y=sn(a).toVar(),E=lt(x),z=E.mul(E).toVar(),ee=Vf(sn(z.mul(y.x),z.mul(y.y),y.z)).toVar(),te=ee.x.mul(ee.x).add(ee.y.mul(ee.y)),ne=Fc(te.greaterThan(0),sn(ee.y.negate(),ee.x,0).div(jf(te)),sn(1,0,0)).toVar(),ie=Qv(ee,ne).toVar(),ae=jf(b.x),oe=Ia(2,3.14159265359).mul(b.y),le=ae.mul(Gm(oe)).toVar(),ue=ae.mul(Gf(oe)).toVar(),he=Ia(.5,ee.z.add(1));ue.assign(he.oneMinus().mul(jf(le.mul(le).oneMinus())).add(he.mul(ue)));const xe=ne.mul(le).add(ie.mul(ue)).add(ee.mul(jf(du(0,le.mul(le).add(ue.mul(ue)).oneMinus()))));return Vf(sn(z.mul(xe.x),z.mul(xe.y),du(0,xe.z)))}),kI=hn(({roughness:b,mipInt:a,envMap:x,N_immutable:y,GGX_SAMPLES:E,CUBEUV_TEXEL_WIDTH:z,CUBEUV_TEXEL_HEIGHT:ee,CUBEUV_MAX_MIP:te})=>{const ne=sn(y).toVar(),ie=sn(0).toVar(),ae=lt(0).toVar();return Ms(b.lessThan(.001),()=>{ie.assign(_y(x,ne,a,z,ee,te))}).Else(()=>{const oe=Fc(_l(ne.z).lessThan(.999),sn(0,0,1),sn(1,0,0)),le=Vf(Qv(oe,ne)).toVar(),ue=Qv(ne,le).toVar();ml({start:ai(0),end:E},({i:he})=>{const xe=LZ(he,E),ve=RZ(xe,sn(0,0,1),b),me=Vf(le.mul(ve.x).add(ue.mul(ve.y)).add(ne.mul(ve.z))),Pe=Vf(me.mul(em(ne,me).mul(2)).sub(ne)),we=du(em(ne,Pe),0);Ms(we.greaterThan(0),()=>{const Me=_y(x,Pe,a,z,ee,te);ie.addAssign(Me.mul(we)),ae.addAssign(we)})}),Ms(ae.greaterThan(0),()=>{ie.assign(ie.div(ae))})}),ns(ie,1)}),Q0=4,HI=[.125,.215,.35,.446,.526,.582],_v=20,OZ=512,$y=new _A(-1,1,1,-1,0,1),zZ=new gc(90,1),UI=new Ki;let SS=null,BS=0,MS=0;const kZ=new ft,Pw=new WeakMap,HZ=[3,1,5,0,4,2],TS=RI(Pl(),wf("faceIndex")).normalize(),Sw=sn(TS.x,TS.y,TS.z);class UZ{constructor(a){this._renderer=a,this._pingPongRenderTarget=null,this._lodMax=0,this._cubeSize=0,this._sizeLods=[],this._sigmas=[],this._lodMeshes=[],this._blurMaterial=null,this._ggxMaterial=null,this._cubemapMaterial=null,this._equirectMaterial=null,this._backgroundBox=null}get _hasInitialized(){return this._renderer.hasInitialized()}fromScene(a,x=0,y=.1,E=100,z={}){const{size:ee=256,position:te=kZ,renderTarget:ne=null}=z;if(this._setSize(ee),this._hasInitialized===!1){wn('PMREMGenerator: ".fromScene()" called before the backend is initialized. Try using "await renderer.init()" instead.');const ae=ne||this._allocateTarget();return z.renderTarget=ae,this.fromSceneAsync(a,x,y,E,z),ae}SS=this._renderer.getRenderTarget(),BS=this._renderer.getActiveCubeFace(),MS=this._renderer.getActiveMipmapLevel();const ie=ne||this._allocateTarget();return ie.depthBuffer=!0,this._init(ie),this._sceneToCubeUV(a,y,E,ie,te),x>0&&this._blur(ie,0,0,x),this._applyPMREM(ie),this._cleanup(ie),ie}fromSceneAsync(ee){return ca(this,arguments,function*(a,x=0,y=.1,E=100,z={}){return no('PMREMGenerator: ".fromSceneAsync()" is deprecated. Use "await renderer.init()" instead.'),yield this._renderer.init(),this.fromScene(a,x,y,E,z)})}fromEquirectangular(a,x=null){if(this._hasInitialized===!1){wn('PMREMGenerator: .fromEquirectangular() called before the backend is initialized. Try using "await renderer.init()" instead.'),this._setSizeFromTexture(a);const y=x||this._allocateTarget();return this.fromEquirectangularAsync(a,y),y}return this._fromTexture(a,x)}fromEquirectangularAsync(a,x=null){return ca(this,null,function*(){return no('PMREMGenerator: ".fromEquirectangularAsync()" is deprecated. Use "await renderer.init()" instead.'),yield this._renderer.init(),this._fromTexture(a,x)})}fromCubemap(a,x=null){if(this._hasInitialized===!1){wn("PMREMGenerator: .fromCubemap() called before the backend is initialized. Try using .fromCubemapAsync() instead."),this._setSizeFromTexture(a);const y=x||this._allocateTarget();return this.fromCubemapAsync(a,x),y}return this._fromTexture(a,x)}fromCubemapAsync(a,x=null){return ca(this,null,function*(){return no('PMREMGenerator: ".fromCubemapAsync()" is deprecated. Use "await renderer.init()" instead.'),yield this._renderer.init(),this._fromTexture(a,x)})}compileCubemapShader(){return ca(this,null,function*(){this._cubemapMaterial===null&&(this._cubemapMaterial=VI(),yield this._compileMaterial(this._cubemapMaterial))})}compileEquirectangularShader(){return ca(this,null,function*(){this._equirectMaterial===null&&(this._equirectMaterial=GI(),yield this._compileMaterial(this._equirectMaterial))})}dispose(){this._dispose(),this._cubemapMaterial!==null&&this._cubemapMaterial.dispose(),this._equirectMaterial!==null&&this._equirectMaterial.dispose(),this._backgroundBox!==null&&(this._backgroundBox.geometry.dispose(),this._backgroundBox.material.dispose())}_setSizeFromTexture(a){a.mapping===xa||a.mapping===fo?this._setSize(a.image.length===0?16:a.image[0].width||a.image[0].image.width):this._setSize(a.image.width/4)}_setSize(a){this._lodMax=Math.floor(Math.log2(a)),this._cubeSize=Math.pow(2,this._lodMax)}_dispose(){this._blurMaterial!==null&&this._blurMaterial.dispose(),this._ggxMaterial!==null&&this._ggxMaterial.dispose(),this._pingPongRenderTarget!==null&&this._pingPongRenderTarget.dispose();for(let a=0;a<this._lodMeshes.length;a++)this._lodMeshes[a].geometry.dispose()}_cleanup(a){this._renderer.setRenderTarget(SS,BS,MS),a.scissorTest=!1,Sx(a,0,0,a.width,a.height)}_fromTexture(a,x){this._setSizeFromTexture(a),SS=this._renderer.getRenderTarget(),BS=this._renderer.getActiveCubeFace(),MS=this._renderer.getActiveMipmapLevel();const y=x||this._allocateTarget();return this._init(y),this._textureToCubeUV(a,y),this._applyPMREM(y),this._cleanup(y),y}_allocateTarget(){const a=3*Math.max(this._cubeSize,112),x=4*this._cubeSize;return jI(a,x)}_init(a){if(this._pingPongRenderTarget===null||this._pingPongRenderTarget.width!==a.width||this._pingPongRenderTarget.height!==a.height){this._pingPongRenderTarget!==null&&this._dispose(),this._pingPongRenderTarget=jI(a.width,a.height);const{_lodMax:x}=this;({lodMeshes:this._lodMeshes,sizeLods:this._sizeLods,sigmas:this._sigmas}=jZ(x)),this._blurMaterial=VZ(x,a.width,a.height)}}_compileMaterial(a){return ca(this,null,function*(){const x=new Il(new io,a);yield this._renderer.compile(x,$y)})}_sceneToCubeUV(a,x,y,E,z){const ee=zZ;ee.near=x,ee.far=y;const te=[1,1,1,1,-1,1],ne=[1,-1,1,-1,1,-1],ie=this._renderer,ae=ie.autoClear;ie.getClearColor(UI),ie.autoClear=!1,this._backgroundBox===null&&(this._backgroundBox=new Il(new L0,new od({name:"PMREM.Background",side:co,depthWrite:!1,depthTest:!1})));const oe=this._backgroundBox,le=oe.material;let ue=!1;const he=a.background;he?he.isColor&&(le.color.copy(he),a.background=null,ue=!0):(le.color.copy(UI),ue=!0),ie.setRenderTarget(E),ie.clear(),ue&&ie.render(oe,ee);for(let xe=0;xe<6;xe++){const ve=xe%3;ve===0?(ee.up.set(0,te[xe],0),ee.position.set(z.x,z.y,z.z),ee.lookAt(z.x+ne[xe],z.y,z.z)):ve===1?(ee.up.set(0,0,te[xe]),ee.position.set(z.x,z.y,z.z),ee.lookAt(z.x,z.y+ne[xe],z.z)):(ee.up.set(0,te[xe],0),ee.position.set(z.x,z.y,z.z),ee.lookAt(z.x,z.y,z.z+ne[xe]));const me=this._cubeSize;Sx(E,ve*me,xe>2?me:0,me,me),ie.render(a,ee)}ie.autoClear=ae,a.background=he}_textureToCubeUV(a,x){const y=this._renderer,E=a.mapping===xa||a.mapping===fo;E?this._cubemapMaterial===null&&(this._cubemapMaterial=VI(a)):this._equirectMaterial===null&&(this._equirectMaterial=GI(a));const z=E?this._cubemapMaterial:this._equirectMaterial;z.fragmentNode.value=a;const ee=this._lodMeshes[0];ee.material=z;const te=this._cubeSize;Sx(x,0,0,3*te,2*te),y.setRenderTarget(x),y.render(ee,$y)}_applyPMREM(a){const x=this._renderer,y=x.autoClear;x.autoClear=!1;const E=this._lodMeshes.length;for(let z=1;z<E;z++)this._applyGGXFilter(a,z-1,z);x.autoClear=y}_applyGGXFilter(a,x,y){const E=this._renderer,z=this._pingPongRenderTarget;this._ggxMaterial===null&&(this._ggxMaterial=GZ(this._lodMax,this._pingPongRenderTarget.width,this._pingPongRenderTarget.height));const ee=this._ggxMaterial,te=this._lodMeshes[y];te.material=ee;const ne=Pw.get(ee),ie=y/(this._lodMeshes.length-1),ae=x/(this._lodMeshes.length-1),oe=Math.sqrt(ie*ie-ae*ae),le=.05+ie*.95,ue=oe*le,{_lodMax:he}=this,xe=this._sizeLods[y],ve=3*xe*(y>he-Q0?y-he+Q0:0),me=4*(this._cubeSize-xe);a.texture.frame=(a.texture.frame||0)+1,ne.envMap.value=a.texture,ne.roughness.value=ue,ne.mipInt.value=he-x,Sx(z,ve,me,3*xe,2*xe),E.setRenderTarget(z),E.render(te,$y),z.texture.frame=(z.texture.frame||0)+1,ne.envMap.value=z.texture,ne.roughness.value=0,ne.mipInt.value=he-y,Sx(a,ve,me,3*xe,2*xe),E.setRenderTarget(a),E.render(te,$y)}_blur(a,x,y,E,z){const ee=this._pingPongRenderTarget;this._halfBlur(a,ee,x,y,E,"latitudinal",z),this._halfBlur(ee,a,y,y,E,"longitudinal",z)}_halfBlur(a,x,y,E,z,ee,te){const ne=this._renderer,ie=this._blurMaterial;ee!=="latitudinal"&&ee!=="longitudinal"&&cr("blur direction must be either latitudinal or longitudinal!");const ae=3,oe=this._lodMeshes[E];oe.material=ie;const le=Pw.get(ie),ue=this._sizeLods[y]-1,he=isFinite(z)?Math.PI/(2*ue):2*Math.PI/(2*_v-1),xe=z/he,ve=isFinite(z)?1+Math.floor(ae*xe):_v;ve>_v&&wn(`sigmaRadians, ${z}, is too large and will clip, as it requested ${ve} samples when the maximum is set to ${_v}`);const me=[];let Pe=0;for(let ke=0;ke<_v;++ke){const ze=ke/xe,He=Math.exp(-ze*ze/2);me.push(He),ke===0?Pe+=He:ke<ve&&(Pe+=2*He)}for(let ke=0;ke<me.length;ke++)me[ke]=me[ke]/Pe;a.texture.frame=(a.texture.frame||0)+1,le.envMap.value=a.texture,le.samples.value=ve,le.weights.array=me,le.latitudinal.value=ee==="latitudinal"?1:0,te&&(le.poleAxis.value=te);const{_lodMax:we}=this;le.dTheta.value=he,le.mipInt.value=we-y;const Me=this._sizeLods[E],Le=3*Me*(E>we-Q0?E-we+Q0:0),De=4*(this._cubeSize-Me);Sx(x,Le,De,3*Me,2*Me),ne.setRenderTarget(x),ne.render(oe,$y)}}function jZ(b){const a=[],x=[],y=[];let E=b;const z=b-Q0+1+HI.length;for(let ee=0;ee<z;ee++){const te=Math.pow(2,E);a.push(te);let ne=1/te;ee>b-Q0?ne=HI[ee-b+Q0-1]:ee===0&&(ne=0),x.push(ne);const ie=1/(te-2),ae=-ie,oe=1+ie,le=[ae,ae,oe,ae,oe,oe,ae,ae,oe,oe,ae,oe],ue=6,he=6,xe=3,ve=2,me=1,Pe=new Float32Array(xe*he*ue),we=new Float32Array(ve*he*ue),Me=new Float32Array(me*he*ue);for(let De=0;De<ue;De++){const ke=De%3*2/3-1,ze=De>2?0:-1,He=[ke,ze,0,ke+2/3,ze,0,ke+2/3,ze+1,0,ke,ze,0,ke+2/3,ze+1,0,ke,ze+1,0],Re=HZ[De];Pe.set(He,xe*he*Re),we.set(le,ve*he*Re);const Fe=[Re,Re,Re,Re,Re,Re];Me.set(Fe,me*he*Re)}const Le=new io;Le.setAttribute("position",new ql(Pe,xe)),Le.setAttribute("uv",new ql(we,ve)),Le.setAttribute("faceIndex",new ql(Me,me)),y.push(new Il(Le,null)),E>Q0&&E--}return{lodMeshes:y,sizeLods:a,sigmas:x}}function jI(b,a){const x={magFilter:Co,minFilter:Co,generateMipmaps:!1,type:bl,format:El,colorSpace:Ut},y=new Fg(b,a,x);return y.texture.mapping=Gd,y.texture.name="PMREM.cubeUv",y.texture.isPMREMTexture=!0,y.scissorTest=!0,y}function Sx(b,a,x,y,E){b.viewport.set(a,x,y,E),b.scissor.set(a,x,y,E)}function Bw(b){const a=new Bu;return a.depthTest=!1,a.depthWrite=!1,a.blending=tu,a.name=`PMREM_${b}`,a}function VZ(b,a,x){const y=$d(new Array(_v).fill(0)),E=Ds(new ft(0,1,0)),z=Ds(0),ee=lt(_v),te=Ds(0),ne=Ds(1),ie=go(),ae=Ds(0),oe=lt(1/a),le=lt(1/x),ue=lt(b),he={n:ee,latitudinal:te,weights:y,poleAxis:E,outputDirection:Sw,dTheta:z,samples:ne,envMap:ie,mipInt:ae,CUBEUV_TEXEL_WIDTH:oe,CUBEUV_TEXEL_HEIGHT:le,CUBEUV_MAX_MIP:ue},xe=Bw("blur");return xe.fragmentNode=zI(gp($u({},he),{latitudinal:te.equal(1)})),Pw.set(xe,he),xe}function GZ(b,a,x){const y=go(),E=Ds(0),z=Ds(0),ee=lt(1/a),te=lt(1/x),ne=lt(b),ie={envMap:y,roughness:E,mipInt:z,CUBEUV_TEXEL_WIDTH:ee,CUBEUV_TEXEL_HEIGHT:te,CUBEUV_MAX_MIP:ne},ae=Bw("ggx");return ae.fragmentNode=kI(gp($u({},ie),{N_immutable:Sw,GGX_SAMPLES:ai(OZ)})),Pw.set(ae,ie),ae}function VI(b){const a=Bw("cubemap");return a.fragmentNode=xx(b,Sw),a}function GI(b){const a=Bw("equirect");return a.fragmentNode=go(b,fS(Sw),0),a}const XI=new WeakMap;function XZ(b){const a=Math.log2(b)-2,x=1/b;return{texelWidth:1/(3*Math.max(Math.pow(2,a),7*16)),texelHeight:x,maxMip:a}}function WZ(b,a,x){const y=QZ(a);let E=y.get(b);if((E!==void 0?E.pmremVersion:-1)!==b.pmremVersion){const ee=b.image;if(b.isCubeTexture)if(YZ(ee))E=x.fromCubemap(b,E);else return null;else if(JZ(ee))E=x.fromEquirectangular(b,E);else return null;E.pmremVersion=b.pmremVersion,y.set(b,E)}return E.texture}function QZ(b){let a=XI.get(b);return a===void 0&&(a=new WeakMap,XI.set(b,a)),a}class ZZ extends Ju{static get type(){return"PMREMNode"}constructor(a,x=null,y=null){super("vec3"),this._value=a,this._pmrem=null,this.uvNode=x,this.levelNode=y,this._generator=null;const E=new mc;E.isRenderTargetTexture=!0,this._texture=go(E),this._width=Ds(0),this._height=Ds(0),this._maxMip=Ds(0),this.updateBeforeType=Ua.RENDER}set value(a){this._value=a,this._pmrem=null}get value(){return this._value}updateFromTexture(a){const x=XZ(a.image.height);this._texture.value=a,this._width.value=x.texelWidth,this._height.value=x.texelHeight,this._maxMip.value=x.maxMip}updateBefore(a){let x=this._pmrem;const y=x?x.pmremVersion:-1,E=this._value;y!==E.pmremVersion&&(E.isPMREMTexture===!0?x=E:x=WZ(E,a.renderer,this._generator),x!==null&&(this._pmrem=x,this.updateFromTexture(x)))}setup(a){this._generator===null&&(this._generator=new UZ(a.renderer)),this.updateBefore(a);let x=this.uvNode;x===null&&a.context.getUV&&(x=a.context.getUV(this)),x=WP.mul(sn(x.x,x.y.negate(),x.z));let y=this.levelNode;return y===null&&a.context.getTextureLevel&&(y=a.context.getTextureLevel(this)),OI(this._texture,x,y,this._width,this._height,this._maxMip)}dispose(){super.dispose(),this._generator!==null&&this._generator.dispose()}}function YZ(b){if(b==null)return!1;let a=0;const x=6;for(let y=0;y<x;y++)b[y]!==void 0&&a++;return a===x}function JZ(b){return b==null?!1:b.height>0}const DS=Sa(ZZ).setParameterLength(1,3),WI=new WeakMap;class KZ extends bx{static get type(){return"EnvironmentNode"}constructor(a=null){super(),this.envNode=a}setup(a){const{material:x}=a;let y=this.envNode;if(y.isTextureNode||y.isMaterialReferenceNode){const oe=y.isTextureNode?y.value:x[y.property];let le=WI.get(oe);le===void 0&&(le=DS(oe),WI.set(oe,le)),y=le}const z=x.useAnisotropy===!0||x.anisotropy>0?c9:ll,ee=y.context(QI(Um,z)).mul(lw),te=y.context(qZ(G0)).mul(Math.PI).mul(lw),ne=mx(ee),ie=mx(te);a.context.radiance.addAssign(ne),a.context.iblIrradiance.addAssign(ie);const ae=a.context.lightingModel.clearcoatRadiance;if(ae){const oe=y.context(QI(Fy,Yv)).mul(lw),le=mx(oe);ae.addAssign(le)}}}const QI=(b,a)=>{let x=null;return{getUV:()=>(x===null&&(x=ru.negate().reflect(a),x=wP(b).mix(x,a).normalize(),x=x.transformDirection(Ph)),x),getTextureLevel:()=>b}},qZ=b=>({getUV:()=>b,getTextureLevel:()=>lt(1)}),_Z=new G3;class ZI extends Bu{static get type(){return"MeshStandardNodeMaterial"}constructor(a){super(),this.isMeshStandardNodeMaterial=!0,this.lights=!0,this.emissiveNode=null,this.metalnessNode=null,this.roughnessNode=null,this.setDefaultValues(_Z),this.setValues(a)}setupEnvironment(a){let x=super.setupEnvironment(a);return x===null&&a.environmentNode&&(x=a.environmentNode),x?new KZ(x):null}setupLightingModel(){return new II}setupSpecular(){const a=Qo(sn(.04),Wo.rgb,Ny);np.assign(a),Ry.assign(1)}setupVariants(){const a=this.metalnessNode?lt(this.metalnessNode):A9;Ny.assign(a);let x=this.roughnessNode?lt(this.roughnessNode):v9;x=pS({roughness:x}),Um.assign(x),this.setupSpecular(),Wo.assign(ns(Wo.rgb.mul(a.oneMinus()),Wo.a))}copy(a){return this.emissiveNode=a.emissiveNode,this.metalnessNode=a.metalnessNode,this.roughnessNode=a.roughnessNode,super.copy(a)}}const $Z=new B8;class eY extends ZI{static get type(){return"MeshPhysicalNodeMaterial"}constructor(a){super(),this.isMeshPhysicalNodeMaterial=!0,this.clearcoatNode=null,this.clearcoatRoughnessNode=null,this.clearcoatNormalNode=null,this.sheenNode=null,this.sheenRoughnessNode=null,this.iridescenceNode=null,this.iridescenceIORNode=null,this.iridescenceThicknessNode=null,this.specularIntensityNode=null,this.specularColorNode=null,this.iorNode=null,this.transmissionNode=null,this.thicknessNode=null,this.attenuationDistanceNode=null,this.attenuationColorNode=null,this.dispersionNode=null,this.anisotropyNode=null,this.setDefaultValues($Z),this.setValues(a)}get useClearcoat(){return this.clearcoat>0||this.clearcoatNode!==null}get useIridescence(){return this.iridescence>0||this.iridescenceNode!==null}get useSheen(){return this.sheen>0||this.sheenNode!==null}get useAnisotropy(){return this.anisotropy>0||this.anisotropyNode!==null}get useTransmission(){return this.transmission>0||this.transmissionNode!==null}get useDispersion(){return this.dispersion>0||this.dispersionNode!==null}setupSpecular(){const a=this.iorNode?lt(this.iorNode):N9;zy.assign(a),np.assign(Qo(Xf(EP(zy.sub(1).div(zy.add(1))).mul(g9),sn(1)).mul(_P),Wo.rgb,Ny)),Ry.assign(Qo(_P,1,Ny))}setupLightingModel(){return new II(this.useClearcoat,this.useSheen,this.useIridescence,this.useAnisotropy,this.useTransmission,this.useDispersion)}setupVariants(a){if(super.setupVariants(a),this.useClearcoat){const x=this.clearcoatNode?lt(this.clearcoatNode):y9,y=this.clearcoatRoughnessNode?lt(this.clearcoatRoughnessNode):b9;XE.assign(x),Fy.assign(pS({roughness:y}))}if(this.useSheen){const x=this.sheenNode?sn(this.sheenNode):C9,y=this.sheenRoughnessNode?lt(this.sheenRoughnessNode):P9;Gv.assign(x),WE.assign(y)}if(this.useIridescence){const x=this.iridescenceNode?lt(this.iridescenceNode):B9,y=this.iridescenceIORNode?lt(this.iridescenceIORNode):M9,E=this.iridescenceThicknessNode?lt(this.iridescenceThicknessNode):T9;QE.assign(x),sP.assign(y),aP.assign(E)}if(this.useAnisotropy){const x=(this.anisotropyNode?Br(this.anisotropyNode):S9).toVar();j0.assign(x.length()),Ms(j0.equal(0),()=>{x.assign(Br(1,0))}).Else(()=>{x.divAssign(Br(j0)),j0.assign(j0.saturate())}),ZE.assign(j0.pow2().mix(Um.pow2(),1)),Ly.assign(Jv[0].mul(x.x).add(Jv[1].mul(x.y))),Xv.assign(Jv[1].mul(x.x).sub(Jv[0].mul(x.y)))}if(this.useTransmission){const x=this.transmissionNode?lt(this.transmissionNode):D9,y=this.thicknessNode?lt(this.thicknessNode):I9,E=this.attenuationDistanceNode?lt(this.attenuationDistanceNode):F9,z=this.attenuationColorNode?sn(this.attenuationColorNode):L9;if(JE.assign(x),oP.assign(y),lP.assign(E),uP.assign(z),this.useDispersion){const ee=this.dispersionNode?lt(this.dispersionNode):O9;cP.assign(ee)}}}setupClearcoatNormal(){return this.clearcoatNormalNode?sn(this.clearcoatNormalNode):E9}setup(a){a.context.setupClearcoatNormal=()=>px(this.setupClearcoatNormal(a),"NORMAL","vec3"),super.setup(a)}copy(a){return this.clearcoatNode=a.clearcoatNode,this.clearcoatRoughnessNode=a.clearcoatRoughnessNode,this.clearcoatNormalNode=a.clearcoatNormalNode,this.sheenNode=a.sheenNode,this.sheenRoughnessNode=a.sheenRoughnessNode,this.iridescenceNode=a.iridescenceNode,this.iridescenceIORNode=a.iridescenceIORNode,this.iridescenceThicknessNode=a.iridescenceThicknessNode,this.specularIntensityNode=a.specularIntensityNode,this.specularColorNode=a.specularColorNode,this.transmissionNode=a.transmissionNode,this.thicknessNode=a.thicknessNode,this.attenuationDistanceNode=a.attenuationDistanceNode,this.attenuationColorNode=a.attenuationColorNode,this.dispersionNode=a.dispersionNode,this.anisotropyNode=a.anisotropyNode,super.copy(a)}}class tY extends null{constructor(a=!1,x=!1,y=!1,E=!1,z=!1,ee=!1,te=!1){super(a,x,y,E,z,ee),this.useSSS=te}direct({lightDirection:a,lightColor:x,reflectedLight:y},E){if(this.useSSS===!0){const z=E.material,{thicknessColorNode:ee,thicknessDistortionNode:te,thicknessAmbientNode:ne,thicknessAttenuationNode:ie,thicknessPowerNode:ae,thicknessScaleNode:oe}=z,le=a.add(ll.mul(te)).normalize(),ue=lt(ru.dot(le.negate()).saturate().pow(ae).mul(oe)),he=sn(ue.add(ne).mul(ee));y.directDiffuse.addAssign(he.mul(ie.mul(x)))}super.direct({lightDirection:a,lightColor:x,reflectedLight:y},E)}}class sfe extends null{static get type(){return"MeshSSSNodeMaterial"}constructor(a){super(a),this.thicknessColorNode=null,this.thicknessDistortionNode=lt(.1),this.thicknessAmbientNode=lt(0),this.thicknessAttenuationNode=lt(.1),this.thicknessPowerNode=lt(2),this.thicknessScaleNode=lt(10)}get useSSS(){return this.thicknessColorNode!==null}setupLightingModel(){return new tY(this.useClearcoat,this.useSheen,this.useIridescence,this.useAnisotropy,this.useTransmission,this.useDispersion,this.useSSS)}copy(a){return this.thicknessColorNode=a.thicknessColorNode,this.thicknessDistortionNode=a.thicknessDistortionNode,this.thicknessAmbientNode=a.thicknessAmbientNode,this.thicknessAttenuationNode=a.thicknessAttenuationNode,this.thicknessPowerNode=a.thicknessPowerNode,this.thicknessScaleNode=a.thicknessScaleNode,super.copy(a)}}const nY=hn(({normal:b,lightDirection:a,builder:x})=>{const y=b.dot(a),E=Br(y.mul(.5).add(.5),0);if(x.material.gradientMap){const z=t0("gradientMap","texture").context({getUV:()=>E});return sn(z.r)}else{const z=E.fwidth().mul(.5);return Qo(sn(.7),sn(1),Ch(lt(.7).sub(z.x),lt(.7).add(z.x),E.x))}});class rY extends yw{direct({lightDirection:a,lightColor:x,reflectedLight:y},E){const z=nY({normal:ow,lightDirection:a,builder:E}).mul(x);y.directDiffuse.addAssign(z.mul(qv({diffuseColor:Wo.rgb})))}indirect(a){const{ambientOcclusion:x,irradiance:y,reflectedLight:E}=a.context;E.indirectDiffuse.addAssign(y.mul(qv({diffuseColor:Wo}))),E.indirectDiffuse.mulAssign(x)}}const iY=new M8;class sY extends Bu{static get type(){return"MeshToonNodeMaterial"}constructor(a){super(),this.isMeshToonNodeMaterial=!0,this.lights=!0,this.setDefaultValues(iY),this.setValues(a)}setupLightingModel(){return new rY}}const YI=hn(()=>{const b=sn(ru.z,0,ru.x.negate()).normalize(),a=ru.cross(b);return Br(b.dot(ll),a.dot(ll)).mul(.495).add(.5)}).once(["NORMAL","VERTEX"])().toVar("matcapUV"),aY=new N8;class oY extends Bu{static get type(){return"MeshMatcapNodeMaterial"}constructor(a){super(),this.isMeshMatcapNodeMaterial=!0,this.setDefaultValues(aY),this.setValues(a)}setupVariants(a){const x=YI;let y;a.material.matcap?y=t0("matcap","texture").context({getUV:()=>x}):y=sn(Qo(.2,.8,x.y)),Wo.rgb.mulAssign(y.rgb)}}class lY extends Ju{static get type(){return"RotateNode"}constructor(a,x){super(),this.positionNode=a,this.rotationNode=x}getNodeType(a){return this.positionNode.getNodeType(a)}setup(a){const{rotationNode:x,positionNode:y}=this;if(this.getNodeType(a)==="vec2"){const z=x.cos(),ee=x.sin();return GE(z,ee,ee.negate(),z).mul(y)}else{const z=x,ee=Vv(ns(1,0,0,0),ns(0,Gm(z.x),Gf(z.x).negate(),0),ns(0,Gf(z.x),Gm(z.x),0),ns(0,0,0,1)),te=Vv(ns(Gm(z.y),0,Gf(z.y),0),ns(0,1,0,0),ns(Gf(z.y).negate(),0,Gm(z.y),0),ns(0,0,0,1)),ne=Vv(ns(Gm(z.z),Gf(z.z).negate(),0,0),ns(Gf(z.z),Gm(z.z),0,0),ns(0,0,1,0),ns(0,0,0,1));return ee.mul(te).mul(ne).mul(ns(y,1)).xyz}}}const Pb=Sa(lY).setParameterLength(2),uY=new c3;class JI extends Bu{static get type(){return"SpriteNodeMaterial"}constructor(a){super(),this.isSpriteNodeMaterial=!0,this._useSizeAttenuation=!0,this.positionNode=null,this.rotationNode=null,this.scaleNode=null,this.transparent=!0,this.setDefaultValues(uY),this.setValues(a)}setupPositionView(a){const{object:x,camera:y}=a,{positionNode:E,rotationNode:z,scaleNode:ee,sizeAttenuation:te}=this,ne=e0.mul(sn(E||0));let ie=Br(op[0].xyz.length(),op[1].xyz.length());ee!==null&&(ie=ie.mul(Br(ee))),y.isPerspectiveCamera&&te===!1&&(ie=ie.mul(ne.z.negate()));let ae=Bd.xy;if(x.center&&x.center.isVector2===!0){const ue=nW("center","vec2",x);ae=ae.sub(ue.sub(.5))}ae=ae.mul(ie);const oe=lt(z||w9),le=Pb(ae,oe);return ns(ne.xy.add(le),ne.zw)}copy(a){return this.positionNode=a.positionNode,this.rotationNode=a.rotationNode,this.scaleNode=a.scaleNode,super.copy(a)}get sizeAttenuation(){return this._useSizeAttenuation}set sizeAttenuation(a){this._useSizeAttenuation!==a&&(this._useSizeAttenuation=a,this.needsUpdate=!0)}}const cY=new x3,dY=new ar;class fY extends JI{static get type(){return"PointsNodeMaterial"}constructor(a){super(),this.sizeNode=null,this.isPointsNodeMaterial=!0,this.setDefaultValues(cY),this.setValues(a)}setupPositionView(){const{positionNode:a}=this;return e0.mul(sn(a||Ku)).xyz}setupVertexSprite(a){const{material:x,camera:y}=a,{rotationNode:E,scaleNode:z,sizeNode:ee,sizeAttenuation:te}=this;let ne=super.setupVertex(a);if(x.isNodeMaterial!==!0)return ne;let ie=ee!==null?Br(ee):R9;ie=ie.mul(R4),y.isPerspectiveCamera&&te===!0&&(ie=ie.mul(hY.div(qu.z.negate()))),z&&z.isNode&&(ie=ie.mul(Br(z)));let ae=Bd.xy;if(E&&E.isNode){const oe=lt(E);ae=Pb(ae,oe)}return ae=ae.mul(ie),ae=ae.div(kP.div(2)),ae=ae.mul(ne.w),ne=ne.add(ns(ae,0,0)),ne}setupVertex(a){return a.object.isPoints?super.setupVertex(a):this.setupVertexSprite(a)}get alphaToCoverage(){return this._useAlphaToCoverage}set alphaToCoverage(a){this._useAlphaToCoverage!==a&&(this._useAlphaToCoverage=a,this.needsUpdate=!0)}}const hY=Ds(1).onFrameUpdate(function({renderer:b}){const a=b.getSize(dY);this.value=.5*a.y});class pY extends yw{constructor(){super(),this.shadowNode=lt(1).toVar("shadowMask")}direct({lightNode:a}){a.shadowNode!==null&&this.shadowNode.mulAssign(a.shadowNode)}finish({context:a}){Wo.a.mulAssign(this.shadowNode.oneMinus()),a.outgoingLight.rgb.assign(Wo.rgb)}}const mY=new S8;class gY extends Bu{static get type(){return"ShadowNodeMaterial"}constructor(a){super(),this.isShadowNodeMaterial=!0,this.lights=!0,this.transparent=!0,this.setDefaultValues(mY),this.setValues(a)}setupLightingModel(){return new pY}}const Sb=_p("vec3"),KI=_p("vec3"),qI=_p("vec3");class vY extends null{constructor(){super()}start(a){const{material:x}=a,y=_p("vec3"),E=_p("vec3");Ms(Zy.sub(Sh).length().greaterThan(H4.mul(2)),()=>{y.assign(Zy),E.assign(Sh)}).Else(()=>{y.assign(Sh),E.assign(Zy)});const z=E.sub(y),ee=Ds("int").onRenderUpdate(({material:oe})=>oe.steps),te=z.length().div(ee).toVar(),ne=z.normalize().toVar(),ie=lt(0).toVar(),ae=sn(1).toVar();x.offsetNode&&ie.addAssign(x.offsetNode.mul(te)),ml(ee,()=>{const oe=y.add(ne.mul(ie)),le=Ph.mul(ns(oe,1)).xyz;x.depthNode!==null&&(KI.assign(Cx(lS(le.z,_g,$g))),a.context.sceneDepthNode=Cx(x.depthNode).toVar()),a.context.positionWorld=oe,a.context.shadowPositionWorld=oe,a.context.positionView=le,Sb.assign(0);let ue;x.scatteringNode&&(ue=x.scatteringNode({positionRay:oe})),super.start(a),ue&&Sb.mulAssign(ue);const he=Sb.mul(.01).negate().mul(te).exp();ae.mulAssign(he),ie.addAssign(te)}),qI.addAssign(ae.saturate().oneMinus())}scatteringLight(a,x){const y=x.context.sceneDepthNode;y?Ms(y.greaterThanEqual(KI),()=>{Sb.addAssign(a)}):Sb.addAssign(a)}direct({lightNode:a,lightColor:x},y){if(a.light.distance===void 0)return;const E=x.xyz.toVar();E.mulAssign(a.shadowNode),this.scatteringLight(E,y)}directRectArea({lightColor:a,lightPosition:x,halfWidth:y,halfHeight:E},z){const ee=x.add(y).sub(E),te=x.sub(y).sub(E),ne=x.sub(y).add(E),ie=x.add(y).add(E),ae=z.context.positionView,oe=a.xyz.mul(vZ({P:ae,p0:ee,p1:te,p2:ne,p3:ie})).pow(1.5);this.scatteringLight(oe,z)}finish(a){a.context.outgoingLight.assign(qI)}}class afe extends null{static get type(){return"VolumeNodeMaterial"}constructor(a){super(),this.isVolumeNodeMaterial=!0,this.steps=25,this.offsetNode=null,this.scatteringNode=null,this.lights=!0,this.transparent=!0,this.side=BackSide,this.depthTest=!1,this.depthWrite=!1,this.setValues(a)}setupLightingModel(){return new vY}}class AY{constructor(a,x,y){this.renderer=a,this.nodes=x,this.info=y,this._context=typeof self!="undefined"?self:null,this._animationLoop=null,this._requestId=null}start(){const a=(x,y)=>{this._requestId=this._context.requestAnimationFrame(a),this.info.autoReset===!0&&this.info.reset(),this.nodes.nodeFrame.update(),this.info.frame=this.nodes.nodeFrame.frameId,this.renderer._inspector.begin(),this._animationLoop!==null&&this._animationLoop(x,y),this.renderer._inspector.finish()};a()}stop(){this._context.cancelAnimationFrame(this._requestId),this._requestId=null}getAnimationLoop(){return this._animationLoop}setAnimationLoop(a){this._animationLoop=a}getContext(){return this._context}setContext(a){this._context=a}dispose(){this.stop()}}class tm{constructor(){this.weakMap=new WeakMap}get(a){let x=this.weakMap;for(let y=0;y<a.length-1;y++)if(x=x.get(a[y]),x===void 0)return;return x.get(a[a.length-1])}set(a,x){let y=this.weakMap;for(let E=0;E<a.length-1;E++){const z=a[E];y.has(z)===!1&&y.set(z,new WeakMap),y=y.get(z)}return y.set(a[a.length-1],x),this}delete(a){let x=this.weakMap;for(let y=0;y<a.length-1;y++)if(x=x.get(a[y]),x===void 0)return!1;return x.delete(a[a.length-1])}}let xY=0;function yY(b){const a=Object.keys(b);let x=Object.getPrototypeOf(b);for(;x;){const y=Object.getOwnPropertyDescriptors(x);for(const E in y)if(y[E]!==void 0){const z=y[E];z&&typeof z.get=="function"&&a.push(E)}x=Object.getPrototypeOf(x)}return a}class bY{constructor(a,x,y,E,z,ee,te,ne,ie,ae){this.id=xY++,this._nodes=a,this._geometries=x,this.renderer=y,this.object=E,this.material=z,this.scene=ee,this.camera=te,this.lightsNode=ne,this.context=ie,this.geometry=E.geometry,this.version=z.version,this.drawRange=null,this.attributes=null,this.attributesId=null,this.pipeline=null,this.group=null,this.vertexBuffers=null,this.drawParams=null,this.bundle=null,this.clippingContext=ae,this.clippingContextCacheKey=ae!==null?ae.cacheKey:"",this.initialNodesCacheKey=this.getDynamicCacheKey(),this.initialCacheKey=this.getCacheKey(),this._nodeBuilderState=null,this._bindings=null,this._monitor=null,this.onDispose=null,this.isRenderObject=!0,this.onMaterialDispose=()=>{this.dispose()},this.onGeometryDispose=()=>{this.attributes=null,this.attributesId=null},this.material.addEventListener("dispose",this.onMaterialDispose),this.geometry.addEventListener("dispose",this.onGeometryDispose)}updateClipping(a){this.clippingContext=a}get clippingNeedsUpdate(){return this.clippingContext===null||this.clippingContext.cacheKey===this.clippingContextCacheKey?!1:(this.clippingContextCacheKey=this.clippingContext.cacheKey,!0)}get hardwareClippingPlanes(){return this.material.hardwareClipping===!0?this.clippingContext.unionClippingCount:0}getNodeBuilderState(){return this._nodeBuilderState||(this._nodeBuilderState=this._nodes.getForRender(this))}getMonitor(){return this._monitor||(this._monitor=this.getNodeBuilderState().observer)}getBindings(){return this._bindings||(this._bindings=this.getNodeBuilderState().createBindings())}getBindingGroup(a){for(const x of this.getBindings())if(x.name===a)return x}getIndex(){return this._geometries.getIndex(this)}getIndirect(){return this._geometries.getIndirect(this)}getChainArray(){return[this.object,this.material,this.context,this.lightsNode]}setGeometry(a){this.geometry=a,this.attributes=null,this.attributesId=null}getAttributes(){if(this.attributes!==null)return this.attributes;const a=this.getNodeBuilderState().nodeAttributes,x=this.geometry,y=[],E=new Set,z={};for(const ee of a){let te;if(ee.node&&ee.node.attribute?te=ee.node.attribute:(te=x.getAttribute(ee.name),z[ee.name]=te.version),te===void 0)continue;y.push(te);const ne=te.isInterleavedBufferAttribute?te.data:te;E.add(ne)}return this.attributes=y,this.attributesId=z,this.vertexBuffers=Array.from(E.values()),y}getVertexBuffers(){return this.vertexBuffers===null&&this.getAttributes(),this.vertexBuffers}getDrawParameters(){const{object:a,material:x,geometry:y,group:E,drawRange:z}=this,ee=this.drawParams||(this.drawParams={vertexCount:0,firstVertex:0,instanceCount:0,firstInstance:0}),te=this.getIndex(),ne=te!==null;let ie=1;if(y.isInstancedBufferGeometry===!0?ie=y.instanceCount:a.count!==void 0&&(ie=Math.max(0,a.count)),ie===0)return null;if(ee.instanceCount=ie,a.isBatchedMesh===!0)return ee;let ae=1;x.wireframe===!0&&!a.isPoints&&!a.isLineSegments&&!a.isLine&&!a.isLineLoop&&(ae=2);let oe=z.start*ae,le=(z.start+z.count)*ae;E!==null&&(oe=Math.max(oe,E.start*ae),le=Math.min(le,(E.start+E.count)*ae));const ue=y.attributes.position;let he=1/0;ne?he=te.count:ue!=null&&(he=ue.count),oe=Math.max(oe,0),le=Math.min(le,he);const xe=le-oe;return xe<0||xe===1/0?null:(ee.vertexCount=xe,ee.firstVertex=oe,ee)}getGeometryCacheKey(){const{geometry:a}=this;let x="";for(const y of Object.keys(a.attributes).sort()){const E=a.attributes[y];x+=y+",",E.data&&(x+=E.data.stride+","),E.offset&&(x+=E.offset+","),E.itemSize&&(x+=E.itemSize+","),E.normalized&&(x+="n,")}for(const y of Object.keys(a.morphAttributes).sort()){const E=a.morphAttributes[y];x+="morph-"+y+",";for(let z=0,ee=E.length;z<ee;z++){const te=E[z];x+=te.id+","}}return a.index&&(x+="index,"),x}getMaterialCacheKey(){const{object:a,material:x,renderer:y}=this;let E=x.customProgramCacheKey();for(const z of yY(x)){if(/^(is[A-Z]|_)|^(visible|version|uuid|name|opacity|userData)$/.test(z))continue;const ee=x[z];let te;if(ee!==null){const ne=typeof ee;ne==="number"?te=ee!==0?"1":"0":ne==="object"?(te="{",ee.isTexture&&(te+=ee.mapping,y.backend.isWebGPUBackend===!0&&(te+=ee.magFilter,te+=ee.minFilter,te+=ee.wrapS,te+=ee.wrapT,te+=ee.wrapR)),te+="}"):te=String(ee)}else te=String(ee);E+=te+","}return E+=this.clippingContextCacheKey+",",a.geometry&&(E+=this.getGeometryCacheKey()),a.skeleton&&(E+=a.skeleton.bones.length+","),a.isBatchedMesh&&(E+=a._matricesTexture.uuid+",",a._colorsTexture!==null&&(E+=a._colorsTexture.uuid+",")),(a.isInstancedMesh||a.count>1||Array.isArray(a.morphTargetInfluences))&&(E+=a.uuid+","),E+=a.receiveShadow+",",lx(E)}get needsGeometryUpdate(){if(this.geometry.id!==this.object.geometry.id)return!0;if(this.attributes!==null){const a=this.attributesId;for(const x in a){const y=this.geometry.getAttribute(x);if(y===void 0||a[x]!==y.id)return!0}}return!1}get needsUpdate(){return this.initialNodesCacheKey!==this.getDynamicCacheKey()||this.clippingNeedsUpdate}getDynamicCacheKey(){let a=0;return this.material.isShadowPassMaterial!==!0&&(a=this._nodes.getCacheKey(this.scene,this.lightsNode)),this.camera.isArrayCamera&&(a=ux(a,this.camera.cameras.length)),this.object.receiveShadow&&(a=ux(a,1)),a=ux(a,this.camera.id),a}getCacheKey(){return this.getMaterialCacheKey()+this.getDynamicCacheKey()}dispose(){this.material.removeEventListener("dispose",this.onMaterialDispose),this.geometry.removeEventListener("dispose",this.onGeometryDispose),this.onDispose()}}const $v=[];class EY{constructor(a,x,y,E,z,ee){this.renderer=a,this.nodes=x,this.geometries=y,this.pipelines=E,this.bindings=z,this.info=ee,this.chainMaps={}}get(a,x,y,E,z,ee,te,ne){const ie=this.getChainMap(ne);$v[0]=a,$v[1]=x,$v[2]=ee,$v[3]=z;let ae=ie.get($v);return ae===void 0?(ae=this.createRenderObject(this.nodes,this.geometries,this.renderer,a,x,y,E,z,ee,te,ne),ie.set($v,ae)):(ae.updateClipping(te),ae.needsGeometryUpdate&&ae.setGeometry(a.geometry),(ae.version!==x.version||ae.needsUpdate)&&(ae.initialCacheKey!==ae.getCacheKey()?(ae.dispose(),ae=this.get(a,x,y,E,z,ee,te,ne)):ae.version=x.version)),$v.length=0,ae}getChainMap(a="default"){return this.chainMaps[a]||(this.chainMaps[a]=new tm)}dispose(){this.chainMaps={}}createRenderObject(a,x,y,E,z,ee,te,ne,ie,ae,oe){const le=this.getChainMap(oe),ue=new bY(a,x,y,E,z,ee,te,ne,ie,ae);return ue.onDispose=()=>{this.pipelines.delete(ue),this.bindings.deleteForRender(ue),this.nodes.delete(ue),le.delete(ue.getChainArray())},ue}}class Z0{constructor(){this.data=new WeakMap}get(a){let x=this.data.get(a);return x===void 0&&(x={},this.data.set(a,x)),x}delete(a){let x=null;return this.data.has(a)&&(x=this.data.get(a),this.data.delete(a)),x}has(a){return this.data.has(a)}dispose(){this.data=new WeakMap}}const up={VERTEX:1,INDEX:2,STORAGE:3,INDIRECT:4},Y0=16,wY=211,CY=212;class PY extends Z0{constructor(a){super(),this.backend=a}delete(a){const x=super.delete(a);return x!==null&&this.backend.destroyAttribute(a),x}update(a,x){const y=this.get(a);if(y.version===void 0)x===up.VERTEX?this.backend.createAttribute(a):x===up.INDEX?this.backend.createIndexAttribute(a):x===up.STORAGE?this.backend.createStorageAttribute(a):x===up.INDIRECT&&this.backend.createIndirectStorageAttribute(a),y.version=this._getBufferAttribute(a).version;else{const E=this._getBufferAttribute(a);(y.version<E.version||E.usage===ge)&&(this.backend.updateAttribute(a),y.version=E.version)}}_getBufferAttribute(a){return a.isInterleavedBufferAttribute&&(a=a.data),a}}function _I(b){return b.index!==null?b.index.version:b.attributes.position.version}function $I(b){const a=[],x=b.index,y=b.attributes.position;if(x!==null){const z=x.array;for(let ee=0,te=z.length;ee<te;ee+=3){const ne=z[ee+0],ie=z[ee+1],ae=z[ee+2];a.push(ne,ie,ie,ae,ae,ne)}}else{const z=y.array;for(let ee=0,te=z.length/3-1;ee<te;ee+=3){const ne=ee+0,ie=ee+1,ae=ee+2;a.push(ne,ie,ie,ae,ae,ne)}}const E=new(Qr(a)?s3:i3)(a,1);return E.version=_I(b),E}class SY extends Z0{constructor(a,x){super(),this.attributes=a,this.info=x,this.wireframes=new WeakMap,this.attributeCall=new WeakMap,this._geometryDisposeListeners=new Map}has(a){const x=a.geometry;return super.has(x)&&this.get(x).initialized===!0}updateForRender(a){this.has(a)===!1&&this.initGeometry(a),this.updateAttributes(a)}initGeometry(a){const x=a.geometry,y=this.get(x);y.initialized=!0,this.info.memory.geometries++;const E=()=>{this.info.memory.geometries--;const z=x.index,ee=a.getAttributes();z!==null&&this.attributes.delete(z);for(const ne of ee)this.attributes.delete(ne);const te=this.wireframes.get(x);te!==void 0&&this.attributes.delete(te),x.removeEventListener("dispose",E),this._geometryDisposeListeners.delete(x)};x.addEventListener("dispose",E),this._geometryDisposeListeners.set(x,E)}updateAttributes(a){const x=a.getAttributes();for(const z of x)z.isStorageBufferAttribute||z.isStorageInstancedBufferAttribute?this.updateAttribute(z,up.STORAGE):this.updateAttribute(z,up.VERTEX);const y=this.getIndex(a);y!==null&&this.updateAttribute(y,up.INDEX);const E=a.geometry.indirect;E!==null&&this.updateAttribute(E,up.INDIRECT)}updateAttribute(a,x){const y=this.info.render.calls;a.isInterleavedBufferAttribute?this.attributeCall.get(a)===void 0?(this.attributes.update(a,x),this.attributeCall.set(a,y)):this.attributeCall.get(a.data)!==y&&(this.attributes.update(a,x),this.attributeCall.set(a.data,y),this.attributeCall.set(a,y)):this.attributeCall.get(a)!==y&&(this.attributes.update(a,x),this.attributeCall.set(a,y))}getIndirect(a){return a.geometry.indirect}getIndex(a){const{geometry:x,material:y}=a;let E=x.index;if(y.wireframe===!0){const z=this.wireframes;let ee=z.get(x);ee===void 0?(ee=$I(x),z.set(x,ee)):ee.version!==_I(x)&&(this.attributes.delete(ee),ee=$I(x),z.set(x,ee)),E=ee}return E}dispose(){for(const[a,x]of this._geometryDisposeListeners.entries())a.removeEventListener("dispose",x);this._geometryDisposeListeners.clear()}}class BY{constructor(){this.autoReset=!0,this.frame=0,this.calls=0,this.render={calls:0,frameCalls:0,drawCalls:0,triangles:0,points:0,lines:0,timestamp:0},this.compute={calls:0,frameCalls:0,timestamp:0},this.memory={geometries:0,textures:0}}update(a,x,y){this.render.drawCalls++,a.isMesh||a.isSprite?this.render.triangles+=y*(x/3):a.isPoints?this.render.points+=y*x:a.isLineSegments?this.render.lines+=y*(x/2):a.isLine?this.render.lines+=y*(x-1):cr("WebGPUInfo: Unknown object type.")}reset(){this.render.drawCalls=0,this.render.frameCalls=0,this.compute.frameCalls=0,this.render.triangles=0,this.render.points=0,this.render.lines=0}dispose(){this.reset(),this.calls=0,this.render.calls=0,this.compute.calls=0,this.render.timestamp=0,this.compute.timestamp=0,this.memory.geometries=0,this.memory.textures=0}}class e7{constructor(a){this.cacheKey=a,this.usedTimes=0}}class MY extends e7{constructor(a,x,y){super(a),this.vertexProgram=x,this.fragmentProgram=y}}class TY extends e7{constructor(a,x){super(a),this.computeProgram=x,this.isComputePipeline=!0}}let DY=0;class IS{constructor(a,x,y,E=null,z=null){this.id=DY++,this.code=a,this.stage=x,this.name=y,this.transforms=E,this.attributes=z,this.usedTimes=0}}class IY extends Z0{constructor(a,x){super(),this.backend=a,this.nodes=x,this.bindings=null,this.caches=new Map,this.programs={vertex:new Map,fragment:new Map,compute:new Map}}getForCompute(a,x){const{backend:y}=this,E=this.get(a);if(this._needsComputeUpdate(a)){const z=E.pipeline;z&&(z.usedTimes--,z.computeProgram.usedTimes--);const ee=this.nodes.getForCompute(a);let te=this.programs.compute.get(ee.computeShader);te===void 0&&(z&&z.computeProgram.usedTimes===0&&this._releaseProgram(z.computeProgram),te=new IS(ee.computeShader,"compute",a.name,ee.transforms,ee.nodeAttributes),this.programs.compute.set(ee.computeShader,te),y.createProgram(te));const ne=this._getComputeCacheKey(a,te);let ie=this.caches.get(ne);ie===void 0&&(z&&z.usedTimes===0&&this._releasePipeline(z),ie=this._getComputePipeline(a,te,ne,x)),ie.usedTimes++,te.usedTimes++,E.version=a.version,E.pipeline=ie}return E.pipeline}getForRender(a,x=null){const{backend:y}=this,E=this.get(a);if(this._needsRenderUpdate(a)){const z=E.pipeline;z&&(z.usedTimes--,z.vertexProgram.usedTimes--,z.fragmentProgram.usedTimes--);const ee=a.getNodeBuilderState(),te=a.material?a.material.name:"";let ne=this.programs.vertex.get(ee.vertexShader);ne===void 0&&(z&&z.vertexProgram.usedTimes===0&&this._releaseProgram(z.vertexProgram),ne=new IS(ee.vertexShader,"vertex",te),this.programs.vertex.set(ee.vertexShader,ne),y.createProgram(ne));let ie=this.programs.fragment.get(ee.fragmentShader);ie===void 0&&(z&&z.fragmentProgram.usedTimes===0&&this._releaseProgram(z.fragmentProgram),ie=new IS(ee.fragmentShader,"fragment",te),this.programs.fragment.set(ee.fragmentShader,ie),y.createProgram(ie));const ae=this._getRenderCacheKey(a,ne,ie);let oe=this.caches.get(ae);oe===void 0?(z&&z.usedTimes===0&&this._releasePipeline(z),oe=this._getRenderPipeline(a,ne,ie,ae,x)):a.pipeline=oe,oe.usedTimes++,ne.usedTimes++,ie.usedTimes++,E.pipeline=oe}return E.pipeline}delete(a){const x=this.get(a).pipeline;return x&&(x.usedTimes--,x.usedTimes===0&&this._releasePipeline(x),x.isComputePipeline?(x.computeProgram.usedTimes--,x.computeProgram.usedTimes===0&&this._releaseProgram(x.computeProgram)):(x.fragmentProgram.usedTimes--,x.vertexProgram.usedTimes--,x.vertexProgram.usedTimes===0&&this._releaseProgram(x.vertexProgram),x.fragmentProgram.usedTimes===0&&this._releaseProgram(x.fragmentProgram))),super.delete(a)}dispose(){super.dispose(),this.caches=new Map,this.programs={vertex:new Map,fragment:new Map,compute:new Map}}updateForRender(a){this.getForRender(a)}_getComputePipeline(a,x,y,E){y=y||this._getComputeCacheKey(a,x);let z=this.caches.get(y);return z===void 0&&(z=new TY(y,x),this.caches.set(y,z),this.backend.createComputePipeline(z,E)),z}_getRenderPipeline(a,x,y,E,z){E=E||this._getRenderCacheKey(a,x,y);let ee=this.caches.get(E);return ee===void 0&&(ee=new MY(E,x,y),this.caches.set(E,ee),a.pipeline=ee,this.backend.createRenderPipeline(a,z)),ee}_getComputeCacheKey(a,x){return a.id+","+x.id}_getRenderCacheKey(a,x,y){return x.id+","+y.id+","+this.backend.getRenderCacheKey(a)}_releasePipeline(a){this.caches.delete(a.cacheKey)}_releaseProgram(a){const x=a.code,y=a.stage;this.programs[y].delete(x)}_needsComputeUpdate(a){const x=this.get(a);return x.pipeline===void 0||x.version!==a.version}_needsRenderUpdate(a){return this.get(a).pipeline===void 0||this.backend.needsRenderUpdate(a)}}class NY extends Z0{constructor(a,x,y,E,z,ee){super(),this.backend=a,this.textures=y,this.pipelines=z,this.attributes=E,this.nodes=x,this.info=ee,this.pipelines.bindings=this}getForRender(a){const x=a.getBindings();for(const y of x){const E=this.get(y);E.bindGroup===void 0&&(this._init(y),this.backend.createBindings(y,x,0),E.bindGroup=y)}return x}getForCompute(a){const x=this.nodes.getForCompute(a).bindings;for(const y of x){const E=this.get(y);E.bindGroup===void 0&&(this._init(y),this.backend.createBindings(y,x,0),E.bindGroup=y)}return x}updateForCompute(a){this._updateBindings(this.getForCompute(a))}updateForRender(a){this._updateBindings(this.getForRender(a))}deleteForCompute(a){const x=this.nodes.getForCompute(a).bindings;for(const y of x)this.delete(y)}deleteForRender(a){const x=a.getBindings();for(const y of x)this.delete(y)}_updateBindings(a){for(const x of a)this._update(x,a)}_init(a){for(const x of a.bindings)if(x.isSampledTexture)this.textures.updateTexture(x.texture);else if(x.isSampler)this.textures.updateSampler(x.texture);else if(x.isStorageBuffer){const y=x.attribute,E=y.isIndirectStorageBufferAttribute?up.INDIRECT:up.STORAGE;this.attributes.update(y,E)}}_update(a,x){const{backend:y}=this;let E=!1,z=!0,ee=0,te=0;for(const ne of a.bindings)if(!(ne.isNodeUniformsGroup&&this.nodes.updateGroup(ne)===!1)){if(ne.isStorageBuffer){const ie=ne.attribute,ae=ie.isIndirectStorageBufferAttribute?up.INDIRECT:up.STORAGE;this.attributes.update(ie,ae)}if(ne.isUniformBuffer)ne.update()&&y.updateBinding(ne);else if(ne.isSampledTexture){const ie=ne.update(),ae=ne.texture,oe=this.textures.get(ae);if(ie&&(this.textures.updateTexture(ae),ne.generation!==oe.generation&&(ne.generation=oe.generation,E=!0,z=!1)),y.get(ae).externalTexture!==void 0||oe.isDefaultTexture?z=!1:(ee=ee*10+ae.id,te+=ae.version),ae.isStorageTexture===!0&&ae.mipmapsAutoUpdate===!0){const ue=this.get(ae);ne.store===!0?ue.needsMipmap=!0:this.textures.needsMipmaps(ae)&&ue.needsMipmap===!0&&(this.backend.generateMipmaps(ae),ue.needsMipmap=!1)}}else if(ne.isSampler&&ne.update()){const ae=this.textures.updateSampler(ne.texture);ne.samplerKey!==ae&&(ne.samplerKey=ae,E=!0,z=!1)}}E===!0&&this.backend.updateBindings(a,x,z?ee:0,te)}}function FY(b,a){return b.groupOrder!==a.groupOrder?b.groupOrder-a.groupOrder:b.renderOrder!==a.renderOrder?b.renderOrder-a.renderOrder:b.z!==a.z?b.z-a.z:b.id-a.id}function t7(b,a){return b.groupOrder!==a.groupOrder?b.groupOrder-a.groupOrder:b.renderOrder!==a.renderOrder?b.renderOrder-a.renderOrder:b.z!==a.z?a.z-b.z:b.id-a.id}function n7(b){return(b.transmission>0||b.transmissionNode&&b.transmissionNode.isNode)&&b.side===Ko&&b.forceSinglePass===!1}class LY{constructor(a,x,y){this.renderItems=[],this.renderItemsIndex=0,this.opaque=[],this.transparentDoublePass=[],this.transparent=[],this.bundles=[],this.lightsNode=a.getNode(x,y),this.lightsArray=[],this.scene=x,this.camera=y,this.occlusionQueryCount=0}begin(){return this.renderItemsIndex=0,this.opaque.length=0,this.transparentDoublePass.length=0,this.transparent.length=0,this.bundles.length=0,this.lightsArray.length=0,this.occlusionQueryCount=0,this}getNextRenderItem(a,x,y,E,z,ee,te){let ne=this.renderItems[this.renderItemsIndex];return ne===void 0?(ne={id:a.id,object:a,geometry:x,material:y,groupOrder:E,renderOrder:a.renderOrder,z,group:ee,clippingContext:te},this.renderItems[this.renderItemsIndex]=ne):(ne.id=a.id,ne.object=a,ne.geometry=x,ne.material=y,ne.groupOrder=E,ne.renderOrder=a.renderOrder,ne.z=z,ne.group=ee,ne.clippingContext=te),this.renderItemsIndex++,ne}push(a,x,y,E,z,ee,te){const ne=this.getNextRenderItem(a,x,y,E,z,ee,te);a.occlusionTest===!0&&this.occlusionQueryCount++,y.transparent===!0||y.transmission>0||y.transmissionNode&&y.transmissionNode.isNode||y.backdropNode&&y.backdropNode.isNode?(n7(y)&&this.transparentDoublePass.push(ne),this.transparent.push(ne)):this.opaque.push(ne)}unshift(a,x,y,E,z,ee,te){const ne=this.getNextRenderItem(a,x,y,E,z,ee,te);y.transparent===!0||y.transmission>0||y.transmissionNode&&y.transmissionNode.isNode||y.backdropNode&&y.backdropNode.isNode?(n7(y)&&this.transparentDoublePass.unshift(ne),this.transparent.unshift(ne)):this.opaque.unshift(ne)}pushBundle(a){this.bundles.push(a)}pushLight(a){this.lightsArray.push(a)}sort(a,x){this.opaque.length>1&&this.opaque.sort(a||FY),this.transparentDoublePass.length>1&&this.transparentDoublePass.sort(x||t7),this.transparent.length>1&&this.transparent.sort(x||t7)}finish(){this.lightsNode.setLights(this.lightsArray);for(let a=this.renderItemsIndex,x=this.renderItems.length;a<x;a++){const y=this.renderItems[a];if(y.id===null)break;y.id=null,y.object=null,y.geometry=null,y.material=null,y.groupOrder=null,y.renderOrder=null,y.z=null,y.group=null,y.clippingContext=null}}}const Mb=[];class RY{constructor(a){this.lighting=a,this.lists=new tm}get(a,x){const y=this.lists;Mb[0]=a,Mb[1]=x;let E=y.get(Mb);return E===void 0&&(E=new LY(this.lighting,a,x),y.set(Mb,E)),Mb.length=0,E}dispose(){this.lists=new tm}}let OY=0;class zY{constructor(){this.id=OY++,this.color=!0,this.clearColor=!0,this.clearColorValue={r:0,g:0,b:0,a:1},this.depth=!0,this.clearDepth=!0,this.clearDepthValue=1,this.stencil=!1,this.clearStencil=!0,this.clearStencilValue=1,this.viewport=!1,this.viewportValue=new la,this.scissor=!1,this.scissorValue=new la,this.renderTarget=null,this.textures=null,this.depthTexture=null,this.activeCubeFace=0,this.activeMipmapLevel=0,this.sampleCount=1,this.width=0,this.height=0,this.occlusionQueryCount=0,this.clippingContext=null,this.isRenderContext=!0}getCacheKey(){return r7(this)}}function r7(b){const{textures:a,activeCubeFace:x,activeMipmapLevel:y}=b,E=[x,y];for(const z of a)E.push(z.id);return kv(E)}const Tb=[],kY=new ty,HY=new D1;class UY{constructor(){this.chainMaps={}}get(a,x,y=null){Tb[0]=a,Tb[1]=x;let E;if(y===null)E="default";else{const te=y.texture.format;E=`${y.textures.length}:${te}:${y.samples}:${y.depthBuffer}:${y.stencilBuffer}`}const z=this._getChainMap(E);let ee=z.get(Tb);return ee===void 0&&(ee=new zY,z.set(Tb,ee)),Tb.length=0,y!==null&&(ee.sampleCount=y.samples===0?1:y.samples),ee}getForClear(a=null){return this.get(kY,HY,a)}_getChainMap(a){return this.chainMaps[a]||(this.chainMaps[a]=new tm)}dispose(){this.chainMaps={}}}const jY=new ft;class VY extends Z0{constructor(a,x,y){super(),this.renderer=a,this.backend=x,this.info=y}updateRenderTarget(a,x=0){const y=this.get(a),E=a.samples===0?1:a.samples,z=y.depthTextureMips||(y.depthTextureMips={}),ee=a.textures,te=this.getSize(ee[0]),ne=te.width>>x,ie=te.height>>x;let ae=a.depthTexture||z[x];const oe=a.depthBuffer===!0||a.stencilBuffer===!0;let le=!1;ae===void 0&&oe&&(ae=new yh,ae.format=a.stencilBuffer?jc:Ed,ae.type=a.stencilBuffer?id:fl,ae.image.width=ne,ae.image.height=ie,ae.image.depth=te.depth,ae.renderTarget=a,ae.isArrayTexture=a.multiview===!0&&te.depth>1,z[x]=ae),(y.width!==te.width||te.height!==y.height)&&(le=!0,ae&&(ae.needsUpdate=!0,ae.image.width=ne,ae.image.height=ie,ae.image.depth=ae.isArrayTexture?ae.image.depth:1)),y.width=te.width,y.height=te.height,y.textures=ee,y.depthTexture=ae||null,y.depth=a.depthBuffer,y.stencil=a.stencilBuffer,y.renderTarget=a,y.sampleCount!==E&&(le=!0,ae&&(ae.needsUpdate=!0),y.sampleCount=E);const ue={sampleCount:E};if(a.isXRRenderTarget!==!0){for(let he=0;he<ee.length;he++){const xe=ee[he];le&&(xe.needsUpdate=!0),this.updateTexture(xe,ue)}ae&&this.updateTexture(ae,ue)}y.initialized!==!0&&(y.initialized=!0,y.onDispose=()=>{this._destroyRenderTarget(a)},a.addEventListener("dispose",y.onDispose))}updateTexture(a,x={}){const y=this.get(a);if(y.initialized===!0&&y.version===a.version)return;const E=a.isRenderTargetTexture||a.isDepthTexture||a.isFramebufferTexture,z=this.backend;if(E&&y.initialized===!0&&z.destroyTexture(a),a.isFramebufferTexture){const ie=this.renderer.getRenderTarget();ie?a.type=ie.texture.type:a.type=yl}const{width:ee,height:te,depth:ne}=this.getSize(a);if(x.width=ee,x.height=te,x.depth=ne,x.needsMipmaps=this.needsMipmaps(a),x.levels=x.needsMipmaps?this.getMipLevels(a,ee,te):1,a.isCubeTexture&&a.mipmaps.length>0&&x.levels++,E||a.isStorageTexture===!0||a.isExternalTexture===!0)z.createTexture(a,x),y.generation=a.version;else if(a.version>0){const ie=a.image;if(ie===void 0)wn("Renderer: Texture marked for update but image is undefined.");else if(ie.complete===!1)wn("Renderer: Texture marked for update but image is incomplete.");else{if(a.images){const oe=[];for(const le of a.images)oe.push(le);x.images=oe}else x.image=ie;(y.isDefaultTexture===void 0||y.isDefaultTexture===!0)&&(z.createTexture(a,x),y.isDefaultTexture=!1,y.generation=a.version),a.source.dataReady===!0&&z.updateTexture(a,x);const ae=a.isStorageTexture===!0&&a.mipmapsAutoUpdate===!1;x.needsMipmaps&&a.mipmaps.length===0&&!ae&&z.generateMipmaps(a),a.onUpdate&&a.onUpdate(a)}}else z.createDefaultTexture(a),y.isDefaultTexture=!0,y.generation=a.version;y.initialized!==!0&&(y.initialized=!0,y.generation=a.version,this.info.memory.textures++,a.isVideoTexture&&ba.getTransfer(a.colorSpace)!==kt&&wn("WebGPURenderer: Video textures must use a color space with a sRGB transfer function, e.g. SRGBColorSpace."),y.onDispose=()=>{this._destroyTexture(a)},a.addEventListener("dispose",y.onDispose)),y.version=a.version}updateSampler(a){return this.backend.updateSampler(a)}getSize(a,x=jY){let y=a.images?a.images[0]:a.image;return y?(y.image!==void 0&&(y=y.image),typeof HTMLVideoElement!="undefined"&&y instanceof HTMLVideoElement?(x.width=y.videoWidth||1,x.height=y.videoHeight||1,x.depth=1):typeof VideoFrame!="undefined"&&y instanceof VideoFrame?(x.width=y.displayWidth||1,x.height=y.displayHeight||1,x.depth=1):(x.width=y.width||1,x.height=y.height||1,x.depth=a.isCubeTexture?6:y.depth||1)):x.width=x.height=x.depth=1,x}getMipLevels(a,x,y){let E;return a.mipmaps.length>0?E=a.mipmaps.length:a.isCompressedTexture===!0?E=1:E=Math.floor(Math.log2(Math.max(x,y)))+1,E}needsMipmaps(a){return a.generateMipmaps===!0||a.mipmaps.length>0}_destroyRenderTarget(a){if(this.has(a)===!0){const x=this.get(a),y=x.textures,E=x.depthTexture;a.removeEventListener("dispose",x.onDispose);for(let z=0;z<y.length;z++)this._destroyTexture(y[z]);E&&this._destroyTexture(E),this.delete(a),this.backend.delete(a)}}_destroyTexture(a){if(this.has(a)===!0){const x=this.get(a);a.removeEventListener("dispose",x.onDispose);const y=x.isDefaultTexture;this.backend.destroyTexture(a,y),this.delete(a),this.info.memory.textures--}}}class NS extends Ki{constructor(a,x,y,E=1){super(a,x,y),this.a=E}set(a,x,y,E=1){return this.a=E,super.set(a,x,y)}copy(a){return a.a!==void 0&&(this.a=a.a),super.copy(a)}clone(){return new this.constructor(this.r,this.g,this.b,this.a)}}class i7 extends Cl{static get type(){return"ParameterNode"}constructor(a,x=null){super(a,x),this.isParameterNode=!0}getMemberType(a,x){const y=this.getNodeType(a),E=a.getStructTypeNode(y);let z;return E!==null?z=E.getMemberType(a,x):(cr(`TSL: Member "${x}" not found in struct "${y}".`),z="float"),z}getHash(){return this.uuid}generate(){return this.name}}const GY=(b,a)=>Sr(new i7(b,a));class XY extends vs{static get type(){return"StackNode"}constructor(a=null){super(),this.nodes=[],this.outputNode=null,this.parent=a,this._currentCond=null,this._expressionNode=null,this.isStackNode=!0}getElementType(a){return this.hasOutput?this.outputNode.getElementType(a):"void"}getNodeType(a){return this.hasOutput?this.outputNode.getNodeType(a):"void"}getMemberType(a,x){return this.hasOutput?this.outputNode.getMemberType(a,x):"void"}addToStack(a){return a.isNode!==!0?(cr("TSL: Invalid node added to stack."),this):(this.nodes.push(a),this)}If(a,x){const y=new cx(x);return this._currentCond=Fc(a,y),this.addToStack(this._currentCond)}ElseIf(a,x){const y=new cx(x),E=Fc(a,y);return this._currentCond.elseNode=E,this._currentCond=E,this}Else(a){return this._currentCond.elseNode=new cx(a),this}Switch(a){return this._expressionNode=Sr(a),this}Case(...a){const x=[];if(a.length>=2)for(let te=0;te<a.length-1;te++)x.push(this._expressionNode.equal(Sr(a[te])));else cr("TSL: Invalid parameter length. Case() requires at least two parameters.");const y=a[a.length-1],E=new cx(y);let z=x[0];for(let te=1;te<x.length;te++)z=z.or(x[te]);const ee=Fc(z,E);return this._currentCond===null?(this._currentCond=ee,this.addToStack(this._currentCond)):(this._currentCond.elseNode=ee,this._currentCond=ee,this)}Default(a){return this.Else(a),this}setup(a){const x=a.getNodeProperties(this);let y=0;for(const E of this.getChildren())E.isVarNode&&E.intent===!0&&E.isAssign(a)!==!0||(x["node"+y++]=E);return x.outputNode||null}get hasOutput(){return this.outputNode&&this.outputNode.isNode}build(a,...x){const y=nP();Iy(this),a.setActiveStack(this);const E=a.buildStage;for(const ee of this.nodes)if(!(ee.isVarNode&&ee.intent===!0&&ee.isAssign(a)!==!0)){if(E==="setup")ee.build(a);else if(E==="analyze")ee.build(a,this);else if(E==="generate"){const te=a.getDataFromNode(ee,"any").stages,ne=te&&te[a.shaderStage];if(ee.isVarNode&&ne&&ne.length===1&&ne[0]&&ne[0].isStackNode)continue;ee.build(a,"void")}}let z;return this.hasOutput?z=this.outputNode.build(a,...x):z=super.build(a,...x),Iy(y),a.removeActiveStack(this),z}}const Mw=Sa(XY).setParameterLength(0,1);function WY(b){return Object.entries(b).map(([a,x])=>typeof x=="string"?{name:a,type:x,atomic:!1}:{name:a,type:x.type,atomic:x.atomic||!1})}class QY extends vs{static get type(){return"StructTypeNode"}constructor(a,x=null){super("struct"),this.membersLayout=WY(a),this.name=x,this.isStructLayoutNode=!0}getLength(){const x=Float32Array.BYTES_PER_ELEMENT;let y=0;for(const E of this.membersLayout){const z=E.type,ee=WT(z)*x,te=QT(z),ne=y%8,ie=ne%te,ae=ne+ie;y+=ie,ae!==0&&8-ae<ee&&(y+=8-ae),y+=ee}return Math.ceil(y/8)*8/x}getMemberType(a,x){const y=this.membersLayout.find(E=>E.name===x);return y?y.type:"void"}getNodeType(a){return a.getStructTypeFromNode(this,this.membersLayout,this.name).name}setup(a){a.getStructTypeFromNode(this,this.membersLayout,this.name),a.addInclude(this)}generate(a){return this.getNodeType(a)}}class ZY extends vs{static get type(){return"StructNode"}constructor(a,x){super("vec3"),this.structTypeNode=a,this.values=x,this.isStructNode=!0}getNodeType(a){return this.structTypeNode.getNodeType(a)}getMemberType(a,x){return this.structTypeNode.getMemberType(a,x)}generate(a){const x=a.getVarFromNode(this),y=x.type,E=a.getPropertyName(x);return a.addLineFlowCode(`${E} = ${a.generateStruct(y,this.structTypeNode.membersLayout,this.values)}`,this),x.name}}const YY=(b,a=null)=>{const x=new QY(b,a),y=(...E)=>{let z=null;if(E.length>0)if(E[0].isNode){z={};const ee=Object.keys(b);for(let te=0;te<E.length;te++)z[ee[te]]=E[te]}else z=E[0];return Sr(new ZY(x,z))};return y.layout=x,y.isStruct=!0,y};class s7 extends vs{static get type(){return"OutputStructNode"}constructor(...a){super(),this.members=a,this.isOutputStructNode=!0}getNodeType(a){const x=a.getNodeProperties(this);if(x.membersLayout===void 0){const y=this.members,E=[];for(let z=0;z<y.length;z++){const ee="m"+z,te=y[z].getNodeType(a);E.push({name:ee,type:te,index:z})}x.membersLayout=E,x.structType=a.getOutputStructTypeFromNode(this,x.membersLayout)}return x.structType.name}generate(a){const x=a.getOutputStructName(),y=this.members,E=x!==""?x+".":"";for(let z=0;z<y.length;z++){const ee=y[z].build(a);a.addLineFlowCode(`${E}m${z} = ${ee}`,this)}return x}}const JY=Sa(s7);function a7(b,a){for(let x=0;x<b.length;x++)if(b[x].name===a)return x;return-1}class KY extends s7{static get type(){return"MRTNode"}constructor(a){super(),this.outputNodes=a,this.isMRTNode=!0}has(a){return this.outputNodes[a]!==void 0}get(a){return this.outputNodes[a]}merge(a){const x=$u($u({},this.outputNodes),a.outputNodes);return o7(x)}setup(a){const x=this.outputNodes,y=a.renderer.getRenderTarget(),E=[],z=y.textures;for(const ee in x){const te=a7(z,ee);E[te]=ns(x[ee])}return this.members=E,super.setup(a)}}const o7=Sa(KY);class Ib extends Ju{static get type(){return"BitcastNode"}constructor(a,x,y=null){super(),this.valueNode=a,this.conversionType=x,this.inputType=y,this.isBitcastNode=!0}getNodeType(a){if(this.inputType!==null){const x=this.valueNode.getNodeType(a),y=a.getTypeLength(x);return a.getTypeFromLength(y,this.conversionType)}return this.conversionType}generate(a){const x=this.getNodeType(a);let y="";if(this.inputType!==null){const E=this.valueNode.getNodeType(a);y=a.getTypeLength(E)===1?this.inputType:a.changeComponentType(E,this.inputType)}else y=this.valueNode.getNodeType(a);return`${a.getBitcastMethod(x,y)}( ${this.valueNode.build(a,y)} )`}}const qY=hi(Ib).setParameterLength(2),_Y=b=>new Ib(b,"int","float"),$Y=b=>new Ib(b,"uint","float"),eJ=b=>new Ib(b,"float","int"),tJ=b=>new Ib(b,"float","uint"),nJ=hn(([b])=>{const a=b.toUint().mul(747796405).add(2891336453),x=a.shiftRight(a.shiftRight(28).add(4)).bitXor(a).mul(277803737);return x.shiftRight(22).bitXor(x).toFloat().mul(1/xB(2,32))}),FS=(b,a)=>rp(Ia(4,b.mul(Io(1,b))),a),rJ=(b,a)=>b.lessThan(.5)?FS(b.mul(2),a).div(2):Io(1,FS(Ia(Io(1,b),2),a).div(2)),iJ=(b,a,x)=>rp(wh(rp(b,a),Ac(rp(b,a),rp(Io(1,b),x))),1/a),sJ=(b,a)=>Gf(qE.mul(a.mul(b).sub(1))).div(qE.mul(a.mul(b).sub(1))),r0=hn(([b])=>b.fract().sub(.5).abs()).setLayout({name:"tri",type:"float",inputs:[{name:"x",type:"float"}]}),aJ=hn(([b])=>sn(r0(b.z.add(r0(b.y.mul(1)))),r0(b.z.add(r0(b.x.mul(1)))),r0(b.y.add(r0(b.x.mul(1)))))).setLayout({name:"tri3",type:"vec3",inputs:[{name:"p",type:"vec3"}]}),oJ=hn(([b,a,x])=>{const y=sn(b).toVar(),E=lt(1.4).toVar(),z=lt(0).toVar(),ee=sn(y).toVar();return ml({start:lt(0),end:lt(3),type:"float",condition:"<="},()=>{const te=sn(aJ(ee.mul(2))).toVar();y.addAssign(te.add(x.mul(lt(.1).mul(a)))),ee.mulAssign(1.8),E.mulAssign(1.5),y.mulAssign(1.2);const ne=lt(r0(y.z.add(r0(y.x.add(r0(y.y)))))).toVar();z.addAssign(ne.div(E)),ee.addAssign(.14)}),z}).setLayout({name:"triNoise3D",type:"float",inputs:[{name:"position",type:"vec3"},{name:"speed",type:"float"},{name:"time",type:"float"}]});class lJ extends vs{static get type(){return"FunctionOverloadingNode"}constructor(a=[],...x){super(),this.functionNodes=a,this.parametersNodes=x,this._candidateFn=null,this.global=!0}getNodeType(a){return this.getCandidateFn(a).shaderNode.layout.type}getCandidateFn(a){const x=this.parametersNodes;let y=this._candidateFn;if(y===null){let E=null,z=-1;for(const ee of this.functionNodes){const ne=ee.shaderNode.layout;if(ne===null)throw new Error("FunctionOverloadingNode: FunctionNode must be a layout.");const ie=ne.inputs;if(x.length===ie.length){let ae=0;for(let oe=0;oe<x.length;oe++){const le=x[oe],ue=ie[oe];le.getNodeType(a)===ue.type&&ae++}ae>z&&(E=ee,z=ae)}}this._candidateFn=y=E}return y}setup(a){return this.getCandidateFn(a)(...this.parametersNodes)}}const uJ=Sa(lJ),Md=b=>(...a)=>uJ(b,...a),Bx=Ds(0).setGroup(Hs).onRenderUpdate(b=>b.time),cJ=Ds(0).setGroup(Hs).onRenderUpdate(b=>b.deltaTime),l7=Ds(0,"uint").setGroup(Hs).onRenderUpdate(b=>b.frameId),dJ=(b=Bx)=>b.add(.75).mul(Math.PI*2).sin().mul(.5).add(.5),fJ=(b=Bx)=>b.fract().round(),hJ=(b=Bx)=>b.add(.5).fract().mul(2).sub(1).abs(),pJ=(b=Bx)=>b.fract(),mJ=hn(([b,a,x=Br(.5)])=>Pb(b.sub(x),a).add(x)),gJ=hn(([b,a,x=Br(.5)])=>{const y=b.sub(x),E=y.dot(y),ee=E.mul(E).mul(a);return b.add(y.mul(ee))}),vJ=hn(({position:b=null,horizontal:a=!0,vertical:x=!1})=>{let y;b!==null?(y=op.toVar(),y[3][0]=b.x,y[3][1]=b.y,y[3][2]=b.z):y=op;const E=Ph.mul(y);return Ty(a)&&(E[0][0]=op[0].length(),E[0][1]=0,E[0][2]=0),Ty(x)&&(E[1][0]=0,E[1][1]=op[1].length(),E[1][2]=0),E[2][0]=0,E[2][1]=0,E[2][2]=1,sp.mul(E).mul(Ku)}),AJ=hn(([b=null])=>{const a=Cx();return Cx(oS(b)).sub(a).lessThan(0).select(qg,b)});class xJ extends vs{static get type(){return"SpriteSheetUVNode"}constructor(a,x=Pl(),y=lt(0)){super("vec2"),this.countNode=a,this.uvNode=x,this.frameNode=y}setup(){const{frameNode:a,uvNode:x,countNode:y}=this,{width:E,height:z}=y,ee=a.mod(E.mul(z)).floor(),te=ee.mod(E),ne=z.sub(ee.add(1).div(E).ceil()),ie=y.reciprocal(),ae=Br(te,ne);return x.add(ae).mul(ie)}}const yJ=Sa(xJ).setParameterLength(3),u7=hn(([b,a=null,x=null,y=lt(1),E=Ku,z=Wf])=>{let ee=z.abs().normalize();ee=ee.div(ee.dot(sn(1)));const te=E.yz.mul(y),ne=E.zx.mul(y),ie=E.xy.mul(y),ae=b.value,oe=a!==null?a.value:ae,le=x!==null?x.value:ae,ue=go(ae,te).mul(ee.x),he=go(oe,ne).mul(ee.y),xe=go(le,ie).mul(ee.z);return Ac(ue,he,xe)}),bJ=(...b)=>u7(...b),Mx=new Wp,eA=new ft,Tx=new ft,LS=new ft,Nb=new Fs,Tw=new ft(0,0,-1),Zm=new la,Lb=new ft,Dw=new ft,Rb=new la,Iw=new ar,Nw=new Fg,EJ=qg.flipX();Nw.depthTexture=new yh(1,1);let Fw=!1;class RS extends Qm{static get type(){return"ReflectorNode"}constructor(a={}){super(a.defaultTexture||Nw.texture,EJ),this._reflectorBaseNode=a.reflector||new wJ(this,a),this._depthNode=null,this.setUpdateMatrix(!1)}get reflector(){return this._reflectorBaseNode}get target(){return this._reflectorBaseNode.target}getDepthNode(){if(this._depthNode===null){if(this._reflectorBaseNode.depth!==!0)throw new Error("THREE.ReflectorNode: Depth node can only be requested when the reflector is created with { depth: true }. ");this._depthNode=Sr(new RS({defaultTexture:Nw.depthTexture,reflector:this._reflectorBaseNode}))}return this._depthNode}setup(a){return a.object.isQuadMesh||this._reflectorBaseNode.build(a),super.setup(a)}clone(){const a=new this.constructor(this.reflectorNode);return a.uvNode=this.uvNode,a.levelNode=this.levelNode,a.biasNode=this.biasNode,a.sampler=this.sampler,a.depthNode=this.depthNode,a.compareNode=this.compareNode,a.gradNode=this.gradNode,a.offsetNode=this.offsetNode,a._reflectorBaseNode=this._reflectorBaseNode,a}dispose(){super.dispose(),this._reflectorBaseNode.dispose()}}class wJ extends vs{static get type(){return"ReflectorBaseNode"}constructor(a,x={}){super();const{target:y=new zu,resolutionScale:E=1,generateMipmaps:z=!1,bounces:ee=!0,depth:te=!1,samples:ne=0}=x;this.textureNode=a,this.target=y,this.resolutionScale=E,x.resolution!==void 0&&(no('ReflectorNode: The "resolution" parameter has been renamed to "resolutionScale".'),this.resolutionScale=x.resolution),this.generateMipmaps=z,this.bounces=ee,this.depth=te,this.samples=ne,this.updateBeforeType=ee?Ua.RENDER:Ua.FRAME,this.virtualCameras=new WeakMap,this.renderTargets=new Map,this.forceUpdate=!1,this.hasOutput=!1}_updateResolution(a,x){const y=this.resolutionScale;x.getDrawingBufferSize(Iw),a.setSize(Math.round(Iw.width*y),Math.round(Iw.height*y))}setup(a){return this._updateResolution(Nw,a.renderer),super.setup(a)}dispose(){super.dispose();for(const a of this.renderTargets.values())a.dispose()}getVirtualCamera(a){let x=this.virtualCameras.get(a);return x===void 0&&(x=a.clone(),this.virtualCameras.set(a,x)),x}getRenderTarget(a){let x=this.renderTargets.get(a);return x===void 0&&(x=new Fg(0,0,{type:bl,samples:this.samples}),this.generateMipmaps===!0&&(x.texture.minFilter=Yx,x.texture.generateMipmaps=!0),this.depth===!0&&(x.depthTexture=new yh),this.renderTargets.set(a,x)),x}updateBefore(a){if(this.bounces===!1&&Fw)return!1;Fw=!0;const{scene:x,camera:y,renderer:E,material:z}=a,{target:ee}=this,te=this.getVirtualCamera(y),ne=this.getRenderTarget(te);E.getDrawingBufferSize(Iw),this._updateResolution(ne,E),Tx.setFromMatrixPosition(ee.matrixWorld),LS.setFromMatrixPosition(y.matrixWorld),Nb.extractRotation(ee.matrixWorld),eA.set(0,0,1),eA.applyMatrix4(Nb),Lb.subVectors(Tx,LS);const ie=Lb.dot(eA)>0;let ae=!1;if(ie===!0&&this.forceUpdate===!1){if(this.hasOutput===!1){Fw=!1;return}ae=!0}Lb.reflect(eA).negate(),Lb.add(Tx),Nb.extractRotation(y.matrixWorld),Tw.set(0,0,-1),Tw.applyMatrix4(Nb),Tw.add(LS),Dw.subVectors(Tx,Tw),Dw.reflect(eA).negate(),Dw.add(Tx),te.coordinateSystem=y.coordinateSystem,te.position.copy(Lb),te.up.set(0,1,0),te.up.applyMatrix4(Nb),te.up.reflect(eA),te.lookAt(Dw),te.near=y.near,te.far=y.far,te.updateMatrixWorld(),te.projectionMatrix.copy(y.projectionMatrix),Mx.setFromNormalAndCoplanarPoint(eA,Tx),Mx.applyMatrix4(te.matrixWorldInverse),Zm.set(Mx.normal.x,Mx.normal.y,Mx.normal.z,Mx.constant);const oe=te.projectionMatrix;Rb.x=(Math.sign(Zm.x)+oe.elements[8])/oe.elements[0],Rb.y=(Math.sign(Zm.y)+oe.elements[9])/oe.elements[5],Rb.z=-1,Rb.w=(1+oe.elements[10])/oe.elements[14],Zm.multiplyScalar(1/Zm.dot(Rb));const le=0;oe.elements[2]=Zm.x,oe.elements[6]=Zm.y,oe.elements[10]=E.coordinateSystem===bt?Zm.z-le:Zm.z+1-le,oe.elements[14]=Zm.w,this.textureNode.value=ne.texture,this.depth===!0&&(this.textureNode.getDepthNode().value=ne.depthTexture),z.visible=!1;const ue=E.getRenderTarget(),he=E.getMRT(),xe=E.autoClear;E.setMRT(null),E.setRenderTarget(ne),E.autoClear=!0;const ve=x.name;x.name=(x.name||"Scene")+" [ Reflector ]",ae?(E.clear(),this.hasOutput=!1):(E.render(x,te),this.hasOutput=!0),x.name=ve,E.setMRT(he),E.setRenderTarget(ue),E.autoClear=xe,z.visible=!0,Fw=!1,this.forceUpdate=!1}get resolution(){return no('ReflectorNode: The "resolution" property has been renamed to "resolutionScale".'),this.resolutionScale}set resolution(a){no('ReflectorNode: The "resolution" property has been renamed to "resolutionScale".'),this.resolutionScale=a}}const CJ=b=>Sr(new RS(b)),OS=new _A(-1,1,1,-1,0,1);class PJ extends io{constructor(a=!1){super();const x=a===!1?[0,-1,0,1,2,1]:[0,2,0,0,2,0];this.setAttribute("position",new Ls([-1,3,0,-1,-1,0,3,-1,0],3)),this.setAttribute("uv",new Ls(x,2))}}const SJ=new PJ;class Ob extends Il{constructor(a=null){super(SJ,a),this.camera=OS,this.isQuadMesh=!0}renderAsync(a){return ca(this,null,function*(){no('QuadMesh: "renderAsync()" has been deprecated. Use "render()" and "await renderer.init();" when creating the renderer.'),yield a.init(),a.render(this,OS)})}render(a){a.render(this,OS)}}const BJ=new ar;class MJ extends Qm{static get type(){return"RTTNode"}constructor(a,x=null,y=null,E={type:bl}){const z=new Fg(x,y,E);super(z.texture,Pl()),this.isRTTNode=!0,this.node=a,this.width=x,this.height=y,this.pixelRatio=1,this.renderTarget=z,this.textureNeedsUpdate=!0,this.autoUpdate=!0,this._rttNode=null,this._quadMesh=new Ob(new Bu),this.updateBeforeType=Ua.RENDER}get autoResize(){return this.width===null}setup(a){return this._rttNode=this.node.context(a.getSharedContext()),this._quadMesh.material.name="RTT",this._quadMesh.material.needsUpdate=!0,super.setup(a)}setSize(a,x){this.width=a,this.height=x;const y=a*this.pixelRatio,E=x*this.pixelRatio;this.renderTarget.setSize(y,E),this.textureNeedsUpdate=!0}setPixelRatio(a){this.pixelRatio=a,this.setSize(this.width,this.height)}updateBefore({renderer:a}){if(this.textureNeedsUpdate===!1&&this.autoUpdate===!1)return;if(this.textureNeedsUpdate=!1,this.autoResize===!0){const E=a.getPixelRatio(),z=a.getSize(BJ),ee=Math.floor(z.width*E),te=Math.floor(z.height*E);(ee!==this.renderTarget.width||te!==this.renderTarget.height)&&(this.renderTarget.setSize(ee,te),this.textureNeedsUpdate=!0)}let x="RTT";this.node.name&&(x=this.node.name+" [ "+x+" ]"),this._quadMesh.material.fragmentNode=this._rttNode,this._quadMesh.name=x;const y=a.getRenderTarget();a.setRenderTarget(this.renderTarget),this._quadMesh.render(a),a.setRenderTarget(y)}clone(){const a=new Qm(this.value,this.uvNode,this.levelNode);return a.sampler=this.sampler,a.referenceNode=this,a}}const c7=(b,...a)=>Sr(new MJ(Sr(b),...a)),TJ=(b,...a)=>b.isSampleNode||b.isTextureNode?b:b.isPassNode?b.getTextureNode():c7(b,...a),Dx=hn(([b,a,x],y)=>{let E;y.renderer.coordinateSystem===bt?(b=Br(b.x,b.y.oneMinus()).mul(2).sub(1),E=ns(sn(b,a),1)):E=ns(sn(b.x,b.y.oneMinus(),a).mul(2).sub(1),1);const z=ns(x.mul(E));return z.xyz.div(z.w)}),DJ=hn(([b,a])=>{const x=a.mul(ns(b,1)),y=x.xy.div(x.w).mul(.5).add(.5).toVar();return Br(y.x,y.y.oneMinus())}),IJ=hn(([b,a,x])=>{const y=Jg(Hu(a)),E=Zc(b.mul(y)).toVar(),z=Hu(a,E).toVar(),ee=Hu(a,E.sub(Zc(2,0))).toVar(),te=Hu(a,E.sub(Zc(1,0))).toVar(),ne=Hu(a,E.add(Zc(1,0))).toVar(),ie=Hu(a,E.add(Zc(2,0))).toVar(),ae=Hu(a,E.add(Zc(0,2))).toVar(),oe=Hu(a,E.add(Zc(0,1))).toVar(),le=Hu(a,E.sub(Zc(0,1))).toVar(),ue=Hu(a,E.sub(Zc(0,2))).toVar(),he=_l(Io(lt(2).mul(te).sub(ee),z)).toVar(),xe=_l(Io(lt(2).mul(ne).sub(ie),z)).toVar(),ve=_l(Io(lt(2).mul(oe).sub(ae),z)).toVar(),me=_l(Io(lt(2).mul(le).sub(ue),z)).toVar(),Pe=Dx(b,z,x).toVar(),we=he.lessThan(xe).select(Pe.sub(Dx(b.sub(Br(lt(1).div(y.x),0)),te,x)),Pe.negate().add(Dx(b.add(Br(lt(1).div(y.x),0)),ne,x))),Me=ve.lessThan(me).select(Pe.sub(Dx(b.add(Br(0,lt(1).div(y.y))),oe,x)),Pe.negate().add(Dx(b.sub(Br(0,lt(1).div(y.y))),le,x)));return Vf(Qv(we,Me))}),NJ=hn(([b])=>$p(lt(52.9829189).mul($p(em(b,Br(.06711056,.00583715)))))).setLayout({name:"interleavedGradientNoise",type:"float",inputs:[{name:"position",type:"vec2"}]});class FJ extends vs{static get type(){return"SampleNode"}constructor(a,x=null){super(),this.callback=a,this.uvNode=x,this.isSampleNode=!0}setup(){return this.sample(Pl())}sample(a){return this.callback(a)}}const LJ=(b,a=null)=>Sr(new FJ(b,Sr(a)));class Zf extends vs{static get type(){return"EventNode"}constructor(a,x){super("void"),this.eventType=a,this.callback=x,a===Zf.OBJECT?this.updateType=Ua.OBJECT:a===Zf.MATERIAL?this.updateType=Ua.RENDER:a===Zf.BEFORE_OBJECT?this.updateBeforeType=Ua.OBJECT:a===Zf.BEFORE_MATERIAL&&(this.updateBeforeType=Ua.RENDER)}update(a){this.callback(a)}updateBefore(a){this.callback(a)}}Zf.OBJECT="object",Zf.MATERIAL="material",Zf.BEFORE_OBJECT="beforeObject",Zf.BEFORE_MATERIAL="beforeMaterial";const Lw=(b,a)=>Sr(new Zf(b,a)).toStack(),RJ=b=>Lw(Zf.OBJECT,b),OJ=b=>Lw(Zf.MATERIAL,b),zJ=b=>Lw(Zf.BEFORE_OBJECT,b),kJ=b=>Lw(Zf.BEFORE_MATERIAL,b);class HJ extends Xp{constructor(a,x,y=Float32Array){const E=ArrayBuffer.isView(a)?a:new y(a*x);super(E,x),this.isStorageInstancedBufferAttribute=!0}}class UJ extends ql{constructor(a,x,y=Float32Array){const E=ArrayBuffer.isView(a)?a:new y(a*x);super(E,x),this.isStorageBufferAttribute=!0}}const jJ=(b,a="float")=>{let x,y;a.isStruct===!0?(x=a.layout.getLength(),y=Sy("float")):(x=X2(a),y=Sy(a));const E=new UJ(b,x,y);return Kv(E,a,b)},VJ=(b,a="float")=>{let x,y;a.isStruct===!0?(x=a.layout.getLength(),y=Sy("float")):(x=X2(a),y=Sy(a));const E=new HJ(b,x,y);return Kv(E,a,b)};class GJ extends vs{static get type(){return"PointUVNode"}constructor(){super("vec2"),this.isPointUVNode=!0}generate(){return"vec2( gl_PointCoord.x, 1.0 - gl_PointCoord.y )"}}const XJ=wi(GJ),Hb=new zf,zS=new Fs;class Yf extends vs{static get type(){return"SceneNode"}constructor(a=Yf.BACKGROUND_BLURRINESS,x=null){super(),this.scope=a,this.scene=x}setup(a){const x=this.scope,y=this.scene!==null?this.scene:a.scene;let E;return x===Yf.BACKGROUND_BLURRINESS?E=jl("backgroundBlurriness","float",y):x===Yf.BACKGROUND_INTENSITY?E=jl("backgroundIntensity","float",y):x===Yf.BACKGROUND_ROTATION?E=Ds("mat4").setName("backgroundRotation").setGroup(Hs).onRenderUpdate(()=>{const z=y.background;return z!==null&&z.isTexture&&z.mapping!==wa?(Hb.copy(y.backgroundRotation),Hb.x*=-1,Hb.y*=-1,Hb.z*=-1,zS.makeRotationFromEuler(Hb)):zS.identity(),zS}):cr("SceneNode: Unknown scope:",x),E}}Yf.BACKGROUND_BLURRINESS="backgroundBlurriness",Yf.BACKGROUND_INTENSITY="backgroundIntensity",Yf.BACKGROUND_ROTATION="backgroundRotation";const d7=wi(Yf,Yf.BACKGROUND_BLURRINESS),kS=wi(Yf,Yf.BACKGROUND_INTENSITY),f7=wi(Yf,Yf.BACKGROUND_ROTATION);class WJ extends Qm{static get type(){return"StorageTextureNode"}constructor(a,x,y=null){super(a,x),this.storeNode=y,this.mipLevel=0,this.isStorageTextureNode=!0,this.access=Sd.WRITE_ONLY}getInputType(){return"storageTexture"}setup(a){super.setup(a);const x=a.getNodeProperties(this);return x.storeNode=this.storeNode,x}setAccess(a){return this.access=a,this}setMipLevel(a){return this.mipLevel=a,this}generate(a,x){let y;return this.storeNode!==null?y=this.generateStore(a):y=super.generate(a,x),y}toReadWrite(){return this.setAccess(Sd.READ_WRITE)}toReadOnly(){return this.setAccess(Sd.READ_ONLY)}toWriteOnly(){return this.setAccess(Sd.WRITE_ONLY)}generateStore(a){const x=a.getNodeProperties(this),{uvNode:y,storeNode:E,depthNode:z}=x,ee=super.generate(a,"property"),te=y.build(a,this.value.is3DTexture===!0?"uvec3":"uvec2"),ne=E.build(a,"vec4"),ie=z?z.build(a,"int"):null,ae=a.generateTextureStore(a,ee,te,ie,ne);a.addLineFlowCode(ae,this)}clone(){const a=super.clone();return a.storeNode=this.storeNode,a.mipLevel=this.mipLevel,a}}const h7=Sa(WJ).setParameterLength(1,3),QJ=(b,a,x)=>{const y=h7(b,a,x);return x!==null&&y.toStack(),y},ZJ=hn(({texture:b,uv:a})=>{const y=sn().toVar();return Ms(a.x.lessThan(1e-4),()=>{y.assign(sn(1,0,0))}).ElseIf(a.y.lessThan(1e-4),()=>{y.assign(sn(0,1,0))}).ElseIf(a.z.lessThan(1e-4),()=>{y.assign(sn(0,0,1))}).ElseIf(a.x.greaterThan(1-1e-4),()=>{y.assign(sn(-1,0,0))}).ElseIf(a.y.greaterThan(1-1e-4),()=>{y.assign(sn(0,-1,0))}).ElseIf(a.z.greaterThan(1-1e-4),()=>{y.assign(sn(0,0,-1))}).Else(()=>{const z=b.sample(a.add(sn(-.01,0,0))).r.sub(b.sample(a.add(sn(.01,0,0))).r),ee=b.sample(a.add(sn(0,-.01,0))).r.sub(b.sample(a.add(sn(0,.01,0))).r),te=b.sample(a.add(sn(0,0,-.01))).r.sub(b.sample(a.add(sn(0,0,.01))).r);y.assign(sn(z,ee,te))}),y.normalize()});class YJ extends Qm{static get type(){return"Texture3DNode"}constructor(a,x=null,y=null){super(a,x,y),this.isTexture3DNode=!0}getInputType(){return"texture3D"}getDefaultUV(){return sn(.5,.5,.5)}setUpdateMatrix(){}setupUV(a,x){const y=this.value;return a.isFlipY()&&(y.isRenderTargetTexture===!0||y.isFramebufferTexture===!0)&&(this.sampler?x=x.flipY():x=x.setY(Jt(Jg(this,this.levelNode).y).sub(x.y).sub(1))),x}generateUV(a,x){return x.build(a,this.sampler===!0?"vec3":"ivec3")}generateOffset(a,x){return x.build(a,"ivec3")}normal(a){return ZJ({texture:this,uv:a})}}const p7=Sa(YJ).setParameterLength(1,3);class JJ extends uw{static get type(){return"UserDataNode"}constructor(a,x,y=null){super(a,x,y),this.userData=y}updateReference(a){return this.reference=this.userData!==null?this.userData:a.object.userData,this.reference}}const KJ=(b,a,x)=>Sr(new JJ(b,a,x)),m7=new WeakMap;class qJ extends Ju{static get type(){return"VelocityNode"}constructor(){super("vec2"),this.projectionMatrix=null,this.updateType=Ua.OBJECT,this.updateAfterType=Ua.OBJECT,this.previousModelWorldMatrix=Ds(new Fs),this.previousProjectionMatrix=Ds(new Fs).setGroup(Hs),this.previousCameraViewMatrix=Ds(new Fs)}setProjectionMatrix(a){this.projectionMatrix=a}update({frameId:a,camera:x,object:y}){const E=v7(y);this.previousModelWorldMatrix.value.copy(E);const z=g7(x);z.frameId!==a&&(z.frameId=a,z.previousProjectionMatrix===void 0?(z.previousProjectionMatrix=new Fs,z.previousCameraViewMatrix=new Fs,z.currentProjectionMatrix=new Fs,z.currentCameraViewMatrix=new Fs,z.previousProjectionMatrix.copy(this.projectionMatrix||x.projectionMatrix),z.previousCameraViewMatrix.copy(x.matrixWorldInverse)):(z.previousProjectionMatrix.copy(z.currentProjectionMatrix),z.previousCameraViewMatrix.copy(z.currentCameraViewMatrix)),z.currentProjectionMatrix.copy(this.projectionMatrix||x.projectionMatrix),z.currentCameraViewMatrix.copy(x.matrixWorldInverse),this.previousProjectionMatrix.value.copy(z.previousProjectionMatrix),this.previousCameraViewMatrix.value.copy(z.previousCameraViewMatrix))}updateAfter({object:a}){v7(a).copy(a.matrixWorld)}setup(){const a=this.projectionMatrix===null?sp:Ds(this.projectionMatrix),x=this.previousCameraViewMatrix.mul(this.previousModelWorldMatrix),y=a.mul(e0).mul(Ku),E=this.previousProjectionMatrix.mul(x).mul(aw),z=y.xy.div(y.w),ee=E.xy.div(E.w);return Io(z,ee)}}function g7(b){let a=m7.get(b);return a===void 0&&(a={},m7.set(b,a)),a}function v7(b,a=0){const x=g7(b);let y=x[a];return y===void 0&&(x[a]=y=new Fs,x[a].copy(b.matrixWorld)),y}const _J=wi(qJ),$J=hn(([b])=>HS(b.rgb)),eK=hn(([b,a=lt(1)])=>a.mix(HS(b.rgb),b.rgb)),tK=hn(([b,a=lt(1)])=>{const x=Ac(b.r,b.g,b.b).div(3),y=b.r.max(b.g.max(b.b)),E=y.sub(x).mul(a).mul(-3);return Qo(b.rgb,y,E)}),nK=hn(([b,a=lt(1)])=>{const x=sn(.57735,.57735,.57735),y=a.cos();return sn(b.rgb.mul(y).add(x.cross(b.rgb).mul(a.sin()).add(x.mul(em(x,b.rgb).mul(y.oneMinus())))))}),HS=(b,a=sn(ba.getLuminanceCoefficients(new ft)))=>em(b,a),rK=hn(([b,a=sn(1),x=sn(0),y=sn(1),E=lt(1),z=sn(ba.getLuminanceCoefficients(new ft,Ut))])=>{const ee=b.rgb.dot(sn(z)),te=du(b.rgb.mul(a).add(x),0).toVar(),ne=te.pow(y).toVar();return Ms(te.r.greaterThan(0),()=>{te.r.assign(ne.r)}),Ms(te.g.greaterThan(0),()=>{te.g.assign(ne.g)}),Ms(te.b.greaterThan(0),()=>{te.b.assign(ne.b)}),te.assign(ee.add(te.sub(ee).mul(E))),ns(te.rgb,b.a)});class iK extends Ju{static get type(){return"PosterizeNode"}constructor(a,x){super(),this.sourceNode=a,this.stepsNode=x}setup(){const{sourceNode:a,stepsNode:x}=this;return a.mul(x).floor().div(x)}}const sK=Sa(iK).setParameterLength(2),Rw=new ar;class A7 extends Qm{static get type(){return"PassTextureNode"}constructor(a,x){super(x),this.passNode=a,this.setUpdateMatrix(!1)}setup(a){return this.passNode.build(a),super.setup(a)}clone(){return new this.constructor(this.passNode,this.value)}}class x7 extends A7{static get type(){return"PassMultipleTextureNode"}constructor(a,x,y=!1){super(a,null),this.textureName=x,this.previousTexture=y}updateTexture(){this.value=this.previousTexture?this.passNode.getPreviousTexture(this.textureName):this.passNode.getTexture(this.textureName)}setup(a){return this.updateTexture(),super.setup(a)}clone(){const a=new this.constructor(this.passNode,this.textureName,this.previousTexture);return a.uvNode=this.uvNode,a.levelNode=this.levelNode,a.biasNode=this.biasNode,a.sampler=this.sampler,a.depthNode=this.depthNode,a.compareNode=this.compareNode,a.gradNode=this.gradNode,a.offsetNode=this.offsetNode,a}}class Ym extends Ju{static get type(){return"PassNode"}constructor(a,x,y,E={}){super("vec4"),this.scope=a,this.scene=x,this.camera=y,this.options=E,this._pixelRatio=1,this._width=1,this._height=1;const z=new yh;z.isRenderTargetTexture=!0,z.name="depth";const ee=new Fg(this._width*this._pixelRatio,this._height*this._pixelRatio,$u({type:bl},E));ee.texture.name="output",ee.depthTexture=z,this.renderTarget=ee,this._textures={output:ee.texture,depth:z},this._textureNodes={},this._linearDepthNodes={},this._viewZNodes={},this._previousTextures={},this._previousTextureNodes={},this._cameraNear=Ds(0),this._cameraFar=Ds(0),this._mrt=null,this._layers=null,this._resolutionScale=1,this._viewport=null,this._scissor=null,this.isPassNode=!0,this.updateBeforeType=Ua.FRAME,this.global=!0}setResolutionScale(a){return this._resolutionScale=a,this}getResolutionScale(){return this._resolutionScale}setResolution(a){return wn("PassNode: .setResolution() is deprecated. Use .setResolutionScale() instead."),this.setResolutionScale(a)}getResolution(){return wn("PassNode: .getResolution() is deprecated. Use .getResolutionScale() instead."),this.getResolutionScale()}setLayers(a){return this._layers=a,this}getLayers(){return this._layers}setMRT(a){return this._mrt=a,this}getMRT(){return this._mrt}getTexture(a){let x=this._textures[a];return x===void 0&&(x=this.renderTarget.texture.clone(),x.name=a,this._textures[a]=x,this.renderTarget.textures.push(x)),x}getPreviousTexture(a){let x=this._previousTextures[a];return x===void 0&&(x=this.getTexture(a).clone(),this._previousTextures[a]=x),x}toggleTexture(a){const x=this._previousTextures[a];if(x!==void 0){const y=this._textures[a],E=this.renderTarget.textures.indexOf(y);this.renderTarget.textures[E]=x,this._textures[a]=x,this._previousTextures[a]=y,this._textureNodes[a].updateTexture(),this._previousTextureNodes[a].updateTexture()}}getTextureNode(a="output"){let x=this._textureNodes[a];return x===void 0&&(x=Sr(new x7(this,a)),x.updateTexture(),this._textureNodes[a]=x),x}getPreviousTextureNode(a="output"){let x=this._previousTextureNodes[a];return x===void 0&&(this._textureNodes[a]===void 0&&this.getTextureNode(a),x=Sr(new x7(this,a,!0)),x.updateTexture(),this._previousTextureNodes[a]=x),x}getViewZNode(a="depth"){let x=this._viewZNodes[a];if(x===void 0){const y=this._cameraNear,E=this._cameraFar;this._viewZNodes[a]=x=uS(this.getTextureNode(a),y,E)}return x}getLinearDepthNode(a="depth"){let x=this._linearDepthNodes[a];if(x===void 0){const y=this._cameraNear,E=this._cameraFar,z=this.getViewZNode(a);this._linearDepthNodes[a]=x=wx(z,y,E)}return x}compileAsync(a){return ca(this,null,function*(){const x=a.getRenderTarget(),y=a.getMRT();a.setRenderTarget(this.renderTarget),a.setMRT(this._mrt),yield a.compileAsync(this.scene,this.camera),a.setRenderTarget(x),a.setMRT(y)})}setup({renderer:a}){return this.renderTarget.samples=this.options.samples===void 0?a.samples:this.options.samples,this.renderTarget.texture.type=a.getColorBufferType(),this.scope===Ym.COLOR?this.getTextureNode():this.getLinearDepthNode()}updateBefore(a){const{renderer:x}=a,{scene:y}=this;let E,z;const ee=x.getOutputRenderTarget();ee&&ee.isXRRenderTarget===!0?(z=1,E=x.xr.getCamera(),x.xr.updateCamera(E),Rw.set(ee.width,ee.height)):(E=this.camera,z=x.getPixelRatio(),x.getSize(Rw)),this._pixelRatio=z,this.setSize(Rw.width,Rw.height);const te=x.getRenderTarget(),ne=x.getMRT(),ie=x.autoClear,ae=E.layers.mask;this._cameraNear.value=E.near,this._cameraFar.value=E.far,this._layers!==null&&(E.layers.mask=this._layers.mask);for(const le in this._previousTextures)this.toggleTexture(le);x.setRenderTarget(this.renderTarget),x.setMRT(this._mrt),x.autoClear=!0;const oe=y.name;y.name=this.name?this.name:y.name,x.render(y,E),y.name=oe,x.setRenderTarget(te),x.setMRT(ne),x.autoClear=ie,E.layers.mask=ae}setSize(a,x){this._width=a,this._height=x;const y=Math.floor(this._width*this._pixelRatio*this._resolutionScale),E=Math.floor(this._height*this._pixelRatio*this._resolutionScale);this.renderTarget.setSize(y,E),this._scissor!==null&&this.renderTarget.scissor.copy(this._scissor),this._viewport!==null&&this.renderTarget.viewport.copy(this._viewport)}setScissor(a,x,y,E){a===null?this._scissor=null:(this._scissor===null&&(this._scissor=new la),a.isVector4?this._scissor.copy(a):this._scissor.set(a,x,y,E),this._scissor.multiplyScalar(this._pixelRatio*this._resolutionScale).floor())}setViewport(a,x,y,E){a===null?this._viewport=null:(this._viewport===null&&(this._viewport=new la),a.isVector4?this._viewport.copy(a):this._viewport.set(a,x,y,E),this._viewport.multiplyScalar(this._pixelRatio*this._resolutionScale).floor())}setPixelRatio(a){this._pixelRatio=a,this.setSize(this._width,this._height)}dispose(){this.renderTarget.dispose()}}Ym.COLOR="color",Ym.DEPTH="depth";const aK=(b,a,x)=>Sr(new Ym(Ym.COLOR,b,a,x)),oK=(b,a)=>Sr(new A7(b,a)),lK=(b,a,x)=>Sr(new Ym(Ym.DEPTH,b,a,x));class uK extends Ym{static get type(){return"ToonOutlinePassNode"}constructor(a,x,y,E,z){super(Ym.COLOR,a,x),this.colorNode=y,this.thicknessNode=E,this.alphaNode=z,this._materialCache=new WeakMap,this.name="Outline Pass"}updateBefore(a){const{renderer:x}=a,y=x.getRenderObjectFunction();x.setRenderObjectFunction((E,z,ee,te,ne,ie,ae,oe)=>{if((ne.isMeshToonMaterial||ne.isMeshToonNodeMaterial)&&ne.wireframe===!1){const le=this._getOutlineMaterial(ne);x.renderObject(E,z,ee,te,le,ie,ae,oe)}x.renderObject(E,z,ee,te,ne,ie,ae,oe)}),super.updateBefore(a),x.setRenderObjectFunction(y)}_createMaterial(){const a=new Bu;a.isMeshToonOutlineMaterial=!0,a.name="Toon_Outline",a.side=co;const x=Wf.negate(),y=sp.mul(e0),E=lt(1),z=y.mul(ns(Ku,1)),ee=y.mul(ns(Ku.add(x),1)),te=Vf(z.sub(ee));return a.vertexNode=z.add(te.mul(this.thicknessNode).mul(z.w).mul(E)),a.colorNode=ns(this.colorNode,this.alphaNode),a}_getOutlineMaterial(a){let x=this._materialCache.get(a);return x===void 0&&(x=this._createMaterial(),this._materialCache.set(a,x)),x}}const cK=(b,a,x=new Ki(0,0,0),y=.003,E=1)=>Sr(new uK(b,a,Sr(x),Sr(y),Sr(E))),y7=hn(([b,a])=>b.mul(a).clamp()).setLayout({name:"linearToneMapping",type:"vec3",inputs:[{name:"color",type:"vec3"},{name:"exposure",type:"float"}]}),b7=hn(([b,a])=>(b=b.mul(a),b.div(b.add(1)).clamp())).setLayout({name:"reinhardToneMapping",type:"vec3",inputs:[{name:"color",type:"vec3"},{name:"exposure",type:"float"}]}),E7=hn(([b,a])=>{b=b.mul(a),b=b.sub(.004).max(0);const x=b.mul(b.mul(6.2).add(.5)),y=b.mul(b.mul(6.2).add(1.7)).add(.06);return x.div(y).pow(2.2)}).setLayout({name:"cineonToneMapping",type:"vec3",inputs:[{name:"color",type:"vec3"},{name:"exposure",type:"float"}]}),dK=hn(([b])=>{const a=b.mul(b.add(.0245786)).sub(90537e-9),x=b.mul(b.add(.432951).mul(.983729)).add(.238081);return a.div(x)}),w7=hn(([b,a])=>{const x=_d(.59719,.35458,.04823,.076,.90834,.01566,.0284,.13383,.83777),y=_d(1.60475,-.53108,-.07367,-.10208,1.10813,-.00605,-.00327,-.07276,1.07602);return b=b.mul(a).div(.6),b=x.mul(b),b=dK(b),b=y.mul(b),b.clamp()}).setLayout({name:"acesFilmicToneMapping",type:"vec3",inputs:[{name:"color",type:"vec3"},{name:"exposure",type:"float"}]}),fK=_d(sn(1.6605,-.1246,-.0182),sn(-.5876,1.1329,-.1006),sn(-.0728,-.0083,1.1187)),hK=_d(sn(.6274,.0691,.0164),sn(.3293,.9195,.088),sn(.0433,.0113,.8956)),pK=hn(([b])=>{const a=sn(b).toVar(),x=sn(a.mul(a)).toVar(),y=sn(x.mul(x)).toVar();return lt(15.5).mul(y.mul(x)).sub(Ia(40.14,y.mul(a))).add(Ia(31.96,y).sub(Ia(6.868,x.mul(a))).add(Ia(.4298,x).add(Ia(.1191,a).sub(.00232))))}),C7=hn(([b,a])=>{const x=sn(b).toVar(),y=_d(sn(.856627153315983,.137318972929847,.11189821299995),sn(.0951212405381588,.761241990602591,.0767994186031903),sn(.0482516061458583,.101439036467562,.811302368396859)),E=_d(sn(1.1271005818144368,-.1413297634984383,-.14132976349843826),sn(-.11060664309660323,1.157823702216272,-.11060664309660294),sn(-.016493938717834573,-.016493938717834257,1.2519364065950405)),z=lt(-12.47393),ee=lt(4.026069);return x.mulAssign(a),x.assign(hK.mul(x)),x.assign(y.mul(x)),x.assign(du(x,1e-10)),x.assign(jm(x)),x.assign(x.sub(z).div(ee.sub(z))),x.assign(ip(x,0,1)),x.assign(pK(x)),x.assign(E.mul(x)),x.assign(rp(du(sn(0),x),sn(2.2))),x.assign(fK.mul(x)),x.assign(ip(x,0,1)),x}).setLayout({name:"agxToneMapping",type:"vec3",inputs:[{name:"color",type:"vec3"},{name:"exposure",type:"float"}]}),P7=hn(([b,a])=>{const x=lt(.76),y=lt(.15);b=b.mul(a);const E=Xf(b.r,Xf(b.g,b.b)),z=Fc(E.lessThan(.08),E.sub(Ia(6.25,E.mul(E))),.04);b.subAssign(z);const ee=du(b.r,du(b.g,b.b));Ms(ee.lessThan(x),()=>b);const te=Io(1,x),ne=Io(1,te.mul(te).div(ee.add(te.sub(x))));b.mulAssign(ne.div(ee));const ie=Io(1,wh(1,y.mul(ee.sub(ne)).add(1)));return Qo(b,sn(ne),ie)}).setLayout({name:"neutralToneMapping",type:"vec3",inputs:[{name:"color",type:"vec3"},{name:"exposure",type:"float"}]});class ud extends vs{static get type(){return"CodeNode"}constructor(a="",x=[],y=""){super("code"),this.isCodeNode=!0,this.global=!0,this.code=a,this.includes=x,this.language=y}setIncludes(a){return this.includes=a,this}getIncludes(){return this.includes}generate(a){const x=this.getIncludes(a);for(const E of x)E.build(a);const y=a.getCodeFromNode(this,this.getNodeType(a));return y.code=this.code,y.code}serialize(a){super.serialize(a),a.code=this.code,a.language=this.language}deserialize(a){super.deserialize(a),this.code=a.code,this.language=a.language}}const Ow=Sa(ud).setParameterLength(1,3),mK=(b,a)=>Ow(b,a,"js"),gK=(b,a)=>Ow(b,a,"wgsl"),vK=(b,a)=>Ow(b,a,"glsl");class S7 extends ud{static get type(){return"FunctionNode"}constructor(a="",x=[],y=""){super(a,x,y)}getNodeType(a){return this.getNodeFunction(a).type}getMemberType(a,x){const y=this.getNodeType(a);return a.getStructTypeNode(y).getMemberType(a,x)}getInputs(a){return this.getNodeFunction(a).inputs}getNodeFunction(a){const x=a.getDataFromNode(this);let y=x.nodeFunction;return y===void 0&&(y=a.parser.parseFunction(this.code),x.nodeFunction=y),y}generate(a,x){super.generate(a);const y=this.getNodeFunction(a),E=y.name,z=y.type,ee=a.getCodeFromNode(this,z);E!==""&&(ee.name=E);const te=a.getPropertyName(ee),ne=this.getNodeFunction(a).getCode(te);return ee.code=ne+`
`,x==="property"?te:a.format(`${te}()`,z,x)}}const B7=(b,a=[],x="")=>{for(let z=0;z<a.length;z++){const ee=a[z];typeof ee=="function"&&(a[z]=ee.functionNode)}const y=Sr(new S7(b,a,x)),E=(...z)=>y.call(...z);return E.functionNode=y,E},AK=(b,a)=>B7(b,a,"glsl"),xK=(b,a)=>B7(b,a,"wgsl");class yK extends vs{static get type(){return"ScriptableValueNode"}constructor(a=null){super(),this._value=a,this._cache=null,this.inputType=null,this.outputType=null,this.events=new Qu,this.isScriptableValueNode=!0}get isScriptableOutputNode(){return this.outputType!==null}set value(a){this._value!==a&&(this._cache&&this.inputType==="URL"&&this.value.value instanceof ArrayBuffer&&(URL.revokeObjectURL(this._cache),this._cache=null),this._value=a,this.events.dispatchEvent({type:"change"}),this.refresh())}get value(){return this._value}refresh(){this.events.dispatchEvent({type:"refresh"})}getValue(){const a=this.value;if(a&&this._cache===null&&this.inputType==="URL"&&a.value instanceof ArrayBuffer)this._cache=URL.createObjectURL(new Blob([a.value]));else if(a&&a.value!==null&&a.value!==void 0&&((this.inputType==="URL"||this.inputType==="String")&&typeof a.value=="string"||this.inputType==="Number"&&typeof a.value=="number"||this.inputType==="Vector2"&&a.value.isVector2||this.inputType==="Vector3"&&a.value.isVector3||this.inputType==="Vector4"&&a.value.isVector4||this.inputType==="Color"&&a.value.isColor||this.inputType==="Matrix3"&&a.value.isMatrix3||this.inputType==="Matrix4"&&a.value.isMatrix4))return a.value;return this._cache||a}getNodeType(a){return this.value&&this.value.isNode?this.value.getNodeType(a):"float"}setup(){return this.value&&this.value.isNode?this.value:lt()}serialize(a){super.serialize(a),this.value!==null?this.inputType==="ArrayBuffer"?a.value=Q2(this.value):a.value=this.value?this.value.toJSON(a.meta).uuid:null:a.value=null,a.inputType=this.inputType,a.outputType=this.outputType}deserialize(a){super.deserialize(a);let x=null;a.value!==null&&(a.inputType==="ArrayBuffer"?x=Z2(a.value):a.inputType==="Texture"?x=a.meta.textures[a.value]:x=a.meta.nodes[a.value]||null),this.value=x,this.inputType=a.inputType,this.outputType=a.outputType}}const zw=Sa(yK).setParameterLength(1);class M7 extends Map{get(a,x=null,...y){if(this.has(a))return super.get(a);if(x!==null){const E=x(...y);return this.set(a,E),E}}}class bK{constructor(a){this.scriptableNode=a}get parameters(){return this.scriptableNode.parameters}get layout(){return this.scriptableNode.getLayout()}getInputLayout(a){return this.scriptableNode.getInputLayout(a)}get(a){const x=this.parameters[a];return x?x.getValue():null}}const kw=new M7;class EK extends vs{static get type(){return"ScriptableNode"}constructor(a=null,x={}){super(),this.codeNode=a,this.parameters=x,this._local=new M7,this._output=zw(null),this._outputs={},this._source=this.source,this._method=null,this._object=null,this._value=null,this._needsOutputUpdate=!0,this.onRefresh=this.onRefresh.bind(this),this.isScriptableNode=!0}get source(){return this.codeNode?this.codeNode.code:""}setLocal(a,x){return this._local.set(a,x)}getLocal(a){return this._local.get(a)}onRefresh(){this._refresh()}getInputLayout(a){for(const x of this.getLayout())if(x.inputType&&(x.id===a||x.name===a))return x}getOutputLayout(a){for(const x of this.getLayout())if(x.outputType&&(x.id===a||x.name===a))return x}setOutput(a,x){const y=this._outputs;return y[a]===void 0?y[a]=zw(x):y[a].value=x,this}getOutput(a){return this._outputs[a]}getParameter(a){return this.parameters[a]}setParameter(a,x){const y=this.parameters;return x&&x.isScriptableNode?(this.deleteParameter(a),y[a]=x,y[a].getDefaultOutput().events.addEventListener("refresh",this.onRefresh)):x&&x.isScriptableValueNode?(this.deleteParameter(a),y[a]=x,y[a].events.addEventListener("refresh",this.onRefresh)):y[a]===void 0?(y[a]=zw(x),y[a].events.addEventListener("refresh",this.onRefresh)):y[a].value=x,this}getValue(){return this.getDefaultOutput().getValue()}deleteParameter(a){let x=this.parameters[a];return x&&(x.isScriptableNode&&(x=x.getDefaultOutput()),x.events.removeEventListener("refresh",this.onRefresh)),this}clearParameters(){for(const a of Object.keys(this.parameters))this.deleteParameter(a);return this.needsUpdate=!0,this}call(a,...x){const E=this.getObject()[a];if(typeof E=="function")return E(...x)}callAsync(a,...x){return ca(this,null,function*(){const E=this.getObject()[a];if(typeof E=="function")return E.constructor.name==="AsyncFunction"?yield E(...x):E(...x)})}getNodeType(a){return this.getDefaultOutputNode().getNodeType(a)}refresh(a=null){a!==null?this.getOutput(a).refresh():this._refresh()}getObject(){if(this.needsUpdate&&this.dispose(),this._object!==null)return this._object;const a=()=>this.refresh(),x=(ie,ae)=>this.setOutput(ie,ae),y=new bK(this),E=kw.get("THREE"),z=kw.get("TSL"),ee=this.getMethod(),te=[y,this._local,kw,a,x,E,z];this._object=ee(...te);const ne=this._object.layout;if(ne&&(ne.cache===!1&&this._local.clear(),this._output.outputType=ne.outputType||null,Array.isArray(ne.elements)))for(const ie of ne.elements){const ae=ie.id||ie.name;ie.inputType&&(this.getParameter(ae)===void 0&&this.setParameter(ae,null),this.getParameter(ae).inputType=ie.inputType),ie.outputType&&(this.getOutput(ae)===void 0&&this.setOutput(ae,null),this.getOutput(ae).outputType=ie.outputType)}return this._object}deserialize(a){super.deserialize(a);for(const x in this.parameters){let y=this.parameters[x];y.isScriptableNode&&(y=y.getDefaultOutput()),y.events.addEventListener("refresh",this.onRefresh)}}getLayout(){return this.getObject().layout}getDefaultOutputNode(){const a=this.getDefaultOutput().value;return a&&a.isNode?a:lt()}getDefaultOutput(){return this._exec()._output}getMethod(){if(this.needsUpdate&&this.dispose(),this._method!==null)return this._method;const a=["parameters","local","global","refresh","setOutput","THREE","TSL"],y=["layout","init","main","dispose"].join(", "),E="var "+y+`; var output = {};
`,z=`
return { ...output, `+y+" };",ee=E+this.codeNode.code+z;return this._method=new Function(...a,ee),this._method}dispose(){this._method!==null&&(this._object&&typeof this._object.dispose=="function"&&this._object.dispose(),this._method=null,this._object=null,this._source=null,this._value=null,this._needsOutputUpdate=!0,this._output.value=null,this._outputs={})}setup(){return this.getDefaultOutputNode()}getCacheKey(a){const x=[lx(this.source),this.getDefaultOutputNode().getCacheKey(a)];for(const y in this.parameters)x.push(this.parameters[y].getCacheKey(a));return kv(x)}set needsUpdate(a){a===!0&&this.dispose()}get needsUpdate(){return this.source!==this._source}_exec(){return this.codeNode===null?this:(this._needsOutputUpdate===!0&&(this._value=this.call("main"),this._needsOutputUpdate=!1),this._output.value=this._value,this)}_refresh(){this.needsUpdate=!0,this._exec(),this._output.refresh()}}const wK=Sa(EK).setParameterLength(1,2);function T7(b){let a;const x=b.context.getViewZ;return x!==void 0&&(a=x(this)),(a||qu.z).negate()}const US=hn(([b,a],x)=>{const y=T7(x);return Ch(b,a,y)}),jS=hn(([b],a)=>{const x=T7(a);return b.mul(b,x,x).negate().exp().oneMinus()}),Ub=hn(([b,a])=>ns(a.toFloat().mix(fx.rgb,b.toVec3()),fx.a));function CK(b,a,x){return wn('TSL: "rangeFog( color, near, far )" is deprecated. Use "fog( color, rangeFogFactor( near, far ) )" instead.'),Ub(b,US(a,x))}function PK(b,a){return wn('TSL: "densityFog( color, density )" is deprecated. Use "fog( color, densityFogFactor( density ) )" instead.'),Ub(b,jS(a))}let tA=null,nA=null;class SK extends vs{static get type(){return"RangeNode"}constructor(a=lt(),x=lt()){super(),this.minNode=a,this.maxNode=x}getVectorLength(a){const x=this.getConstNode(this.minNode),y=this.getConstNode(this.maxNode),E=a.getTypeLength(Zg(x.value)),z=a.getTypeLength(Zg(y.value));return E>z?E:z}getNodeType(a){return a.object.count>1?a.getTypeFromLength(this.getVectorLength(a)):"float"}getConstNode(a){let x=null;if(a.traverse(y=>{y.isConstNode===!0&&(x=y)}),x===null)throw new Error('THREE.TSL: No "ConstNode" found in node graph.');return x}setup(a){const x=a.object;let y=null;if(x.count>1){const E=this.getConstNode(this.minNode),z=this.getConstNode(this.maxNode),ee=E.value,te=z.value,ne=a.getTypeLength(Zg(ee)),ie=a.getTypeLength(Zg(te));tA=tA||new la,nA=nA||new la,tA.setScalar(0),nA.setScalar(0),ne===1?tA.setScalar(ee):ee.isColor?tA.set(ee.r,ee.g,ee.b,1):tA.set(ee.x,ee.y,ee.z||0,ee.w||0),ie===1?nA.setScalar(te):te.isColor?nA.set(te.r,te.g,te.b,1):nA.set(te.x,te.y,te.z||0,te.w||0);const ae=4,oe=ae*x.count,le=new Float32Array(oe);for(let he=0;he<oe;he++){const xe=he%ae,ve=tA.getComponent(xe),me=nA.getComponent(xe);le[he]=Ig.lerp(ve,me,Math.random())}const ue=this.getNodeType(a);if(x.count<=4096)y=Gy(le,"vec4",x.count).element(X0).convert(ue);else{const he=new Xp(le,4);a.geometry.setAttribute("__range"+this.id,he),y=iw(he).convert(ue)}}else y=lt(0);return y}}const BK=Sa(SK).setParameterLength(2);class MK extends vs{static get type(){return"ComputeBuiltinNode"}constructor(a,x){super(x),this._builtinName=a}getHash(a){return this.getBuiltinName(a)}getNodeType(){return this.nodeType}setBuiltinName(a){return this._builtinName=a,this}getBuiltinName(){return this._builtinName}hasBuiltin(a){return a.hasBuiltin(this._builtinName)}generate(a,x){const y=this.getBuiltinName(a),E=this.getNodeType(a);return a.shaderStage==="compute"?a.format(y,E,x):(wn(`ComputeBuiltinNode: Compute built-in value ${y} can not be accessed in the ${a.shaderStage} stage`),a.generateConst(E))}serialize(a){super.serialize(a),a.global=this.global,a._builtinName=this._builtinName}deserialize(a){super.deserialize(a),this.global=a.global,this._builtinName=a._builtinName}}const Vb=(b,a)=>Sr(new MK(b,a)),TK=Vb("numWorkgroups","uvec3"),DK=Vb("workgroupId","uvec3"),IK=Vb("globalId","uvec3"),NK=Vb("localId","uvec3"),FK=Vb("subgroupSize","uint");class LK extends vs{constructor(a){super(),this.scope=a}generate(a){const{scope:x}=this,{renderer:y}=a;y.backend.isWebGLBackend===!0?a.addFlowCode(`	// ${x}Barrier 
`):a.addLineFlowCode(`${x}Barrier()`,this)}}const VS=Sa(LK),RK=()=>VS("workgroup").toStack(),OK=()=>VS("storage").toStack(),zK=()=>VS("texture").toStack();class kK extends Uv{constructor(a,x){super(a,x),this.isWorkgroupInfoElementNode=!0}generate(a,x){let y;const E=a.context.assign;if(y=super.generate(a),E!==!0){const z=this.getNodeType(a);y=a.format(y,z,x)}return y}}class HK extends vs{constructor(a,x,y=0){super(x),this.bufferType=x,this.bufferCount=y,this.isWorkgroupInfoNode=!0,this.elementType=x,this.scope=a,this.name=""}setName(a){return this.name=a,this}label(a){return wn('TSL: "label()" has been deprecated. Use "setName()" instead.'),this.setName(a)}setScope(a){return this.scope=a,this}getElementType(){return this.elementType}getInputType(){return`${this.scope}Array`}element(a){return Sr(new kK(this,a))}generate(a){const x=this.name!==""?this.name:`${this.scope}Array_${this.id}`;return a.getScopedArray(x,this.scope.toLowerCase(),this.bufferType,this.bufferCount)}}const UK=(b,a)=>Sr(new HK("Workgroup",b,a));class Yc extends vs{static get type(){return"AtomicFunctionNode"}constructor(a,x,y){super("uint"),this.method=a,this.pointerNode=x,this.valueNode=y,this.parents=!0}getInputType(a){return this.pointerNode.getNodeType(a)}getNodeType(a){return this.getInputType(a)}generate(a){const x=a.getNodeProperties(this),y=x.parents,E=this.method,z=this.getNodeType(a),ee=this.getInputType(a),te=this.pointerNode,ne=this.valueNode,ie=[];ie.push(`&${te.build(a,ee)}`),ne!==null&&ie.push(ne.build(a,ee));const ae=`${a.getMethod(E,z)}( ${ie.join(", ")} )`;if(y?y.length===1&&y[0].isStackNode===!0:!1)a.addLineFlowCode(ae,this);else return x.constNode===void 0&&(x.constNode=Yg(ae,z).toConst()),x.constNode.build(a)}}Yc.ATOMIC_LOAD="atomicLoad",Yc.ATOMIC_STORE="atomicStore",Yc.ATOMIC_ADD="atomicAdd",Yc.ATOMIC_SUB="atomicSub",Yc.ATOMIC_MAX="atomicMax",Yc.ATOMIC_MIN="atomicMin",Yc.ATOMIC_AND="atomicAnd",Yc.ATOMIC_OR="atomicOr",Yc.ATOMIC_XOR="atomicXor";const jK=Sa(Yc),Jm=(b,a,x)=>jK(b,a,x).toStack(),VK=b=>Jm(Yc.ATOMIC_LOAD,b,null),GK=(b,a)=>Jm(Yc.ATOMIC_STORE,b,a),XK=(b,a)=>Jm(Yc.ATOMIC_ADD,b,a),WK=(b,a)=>Jm(Yc.ATOMIC_SUB,b,a),QK=(b,a)=>Jm(Yc.ATOMIC_MAX,b,a),ZK=(b,a)=>Jm(Yc.ATOMIC_MIN,b,a),YK=(b,a)=>Jm(Yc.ATOMIC_AND,b,a),JK=(b,a)=>Jm(Yc.ATOMIC_OR,b,a),KK=(b,a)=>Jm(Yc.ATOMIC_XOR,b,a);class Ui extends Ju{static get type(){return"SubgroupFunctionNode"}constructor(a,x=null,y=null){super(),this.method=a,this.aNode=x,this.bNode=y}getInputType(a){const x=this.aNode?this.aNode.getNodeType(a):null,y=this.bNode?this.bNode.getNodeType(a):null,E=a.isMatrix(x)?0:a.getTypeLength(x),z=a.isMatrix(y)?0:a.getTypeLength(y);return E>z?x:y}getNodeType(a){const x=this.method;return x===Ui.SUBGROUP_ELECT?"bool":x===Ui.SUBGROUP_BALLOT?"uvec4":this.getInputType(a)}generate(a,x){const y=this.method,E=this.getNodeType(a),z=this.getInputType(a),ee=this.aNode,te=this.bNode,ne=[];if(y===Ui.SUBGROUP_BROADCAST||y===Ui.SUBGROUP_SHUFFLE||y===Ui.QUAD_BROADCAST){const ae=te.getNodeType(a);ne.push(ee.build(a,E),te.build(a,ae==="float"?"int":E))}else y===Ui.SUBGROUP_SHUFFLE_XOR||y===Ui.SUBGROUP_SHUFFLE_DOWN||y===Ui.SUBGROUP_SHUFFLE_UP?ne.push(ee.build(a,E),te.build(a,"uint")):(ee!==null&&ne.push(ee.build(a,z)),te!==null&&ne.push(te.build(a,z)));const ie=ne.length===0?"()":`( ${ne.join(", ")} )`;return a.format(`${a.getMethod(y,E)}${ie}`,E,x)}serialize(a){super.serialize(a),a.method=this.method}deserialize(a){super.deserialize(a),this.method=a.method}}Ui.SUBGROUP_ELECT="subgroupElect",Ui.SUBGROUP_BALLOT="subgroupBallot",Ui.SUBGROUP_ADD="subgroupAdd",Ui.SUBGROUP_INCLUSIVE_ADD="subgroupInclusiveAdd",Ui.SUBGROUP_EXCLUSIVE_AND="subgroupExclusiveAdd",Ui.SUBGROUP_MUL="subgroupMul",Ui.SUBGROUP_INCLUSIVE_MUL="subgroupInclusiveMul",Ui.SUBGROUP_EXCLUSIVE_MUL="subgroupExclusiveMul",Ui.SUBGROUP_AND="subgroupAnd",Ui.SUBGROUP_OR="subgroupOr",Ui.SUBGROUP_XOR="subgroupXor",Ui.SUBGROUP_MIN="subgroupMin",Ui.SUBGROUP_MAX="subgroupMax",Ui.SUBGROUP_ALL="subgroupAll",Ui.SUBGROUP_ANY="subgroupAny",Ui.SUBGROUP_BROADCAST_FIRST="subgroupBroadcastFirst",Ui.QUAD_SWAP_X="quadSwapX",Ui.QUAD_SWAP_Y="quadSwapY",Ui.QUAD_SWAP_DIAGONAL="quadSwapDiagonal",Ui.SUBGROUP_BROADCAST="subgroupBroadcast",Ui.SUBGROUP_SHUFFLE="subgroupShuffle",Ui.SUBGROUP_SHUFFLE_XOR="subgroupShuffleXor",Ui.SUBGROUP_SHUFFLE_UP="subgroupShuffleUp",Ui.SUBGROUP_SHUFFLE_DOWN="subgroupShuffleDown",Ui.QUAD_BROADCAST="quadBroadcast";const qK=hi(Ui,Ui.SUBGROUP_ELECT).setParameterLength(0),_K=hi(Ui,Ui.SUBGROUP_BALLOT).setParameterLength(1),$K=hi(Ui,Ui.SUBGROUP_ADD).setParameterLength(1),eq=hi(Ui,Ui.SUBGROUP_INCLUSIVE_ADD).setParameterLength(1),tq=hi(Ui,Ui.SUBGROUP_EXCLUSIVE_AND).setParameterLength(1),nq=hi(Ui,Ui.SUBGROUP_MUL).setParameterLength(1),rq=hi(Ui,Ui.SUBGROUP_INCLUSIVE_MUL).setParameterLength(1),iq=hi(Ui,Ui.SUBGROUP_EXCLUSIVE_MUL).setParameterLength(1),sq=hi(Ui,Ui.SUBGROUP_AND).setParameterLength(1),aq=hi(Ui,Ui.SUBGROUP_OR).setParameterLength(1),oq=hi(Ui,Ui.SUBGROUP_XOR).setParameterLength(1),lq=hi(Ui,Ui.SUBGROUP_MIN).setParameterLength(1),uq=hi(Ui,Ui.SUBGROUP_MAX).setParameterLength(1),cq=hi(Ui,Ui.SUBGROUP_ALL).setParameterLength(0),dq=hi(Ui,Ui.SUBGROUP_ANY).setParameterLength(0),fq=hi(Ui,Ui.SUBGROUP_BROADCAST_FIRST).setParameterLength(2),hq=hi(Ui,Ui.QUAD_SWAP_X).setParameterLength(1),pq=hi(Ui,Ui.QUAD_SWAP_Y).setParameterLength(1),mq=hi(Ui,Ui.QUAD_SWAP_DIAGONAL).setParameterLength(1),gq=hi(Ui,Ui.SUBGROUP_BROADCAST).setParameterLength(2),vq=hi(Ui,Ui.SUBGROUP_SHUFFLE).setParameterLength(2),Aq=hi(Ui,Ui.SUBGROUP_SHUFFLE_XOR).setParameterLength(2),xq=hi(Ui,Ui.SUBGROUP_SHUFFLE_UP).setParameterLength(2),yq=hi(Ui,Ui.SUBGROUP_SHUFFLE_DOWN).setParameterLength(2),bq=hi(Ui,Ui.QUAD_BROADCAST).setParameterLength(1);let Hw;function Uw(b){Hw=Hw||new WeakMap;let a=Hw.get(b);return a===void 0&&Hw.set(b,a={}),a}function jw(b){const a=Uw(b);return a.shadowMatrix||(a.shadowMatrix=Ds("mat4").setGroup(Hs).onRenderUpdate(x=>((b.castShadow!==!0||x.renderer.shadowMap.enabled===!1)&&(b.shadow.camera.coordinateSystem!==x.camera.coordinateSystem&&(b.shadow.camera.coordinateSystem=x.camera.coordinateSystem,b.shadow.camera.updateProjectionMatrix()),b.shadow.updateMatrices(b)),b.shadow.matrix)))}function D7(b,a=Sh){const x=jw(b).mul(a);return x.xyz.div(x.w)}function GS(b){const a=Uw(b);return a.position||(a.position=Ds(new ft).setGroup(Hs).onRenderUpdate((x,y)=>y.value.setFromMatrixPosition(b.matrixWorld)))}function I7(b){const a=Uw(b);return a.targetPosition||(a.targetPosition=Ds(new ft).setGroup(Hs).onRenderUpdate((x,y)=>y.value.setFromMatrixPosition(b.target.matrixWorld)))}function XS(b){const a=Uw(b);return a.viewPosition||(a.viewPosition=Ds(new ft).setGroup(Hs).onRenderUpdate(({camera:x},y)=>{y.value=y.value||new ft,y.value.setFromMatrixPosition(b.matrixWorld),y.value.applyMatrix4(x.matrixWorldInverse)}))}const WS=b=>Ph.transformDirection(GS(b).sub(I7(b))),Eq=b=>b.sort((a,x)=>a.id-x.id),wq=(b,a)=>{for(const x of a)if(x.isAnalyticLightNode&&x.light.id===b)return x;return null},QS=new WeakMap,Xb=[];class ZS extends vs{static get type(){return"LightsNode"}constructor(){super("vec3"),this.totalDiffuseNode=_p("vec3","totalDiffuse"),this.totalSpecularNode=_p("vec3","totalSpecular"),this.outgoingLightNode=_p("vec3","outgoingLight"),this._lights=[],this._lightNodes=null,this._lightNodesHash=null,this.global=!0}customCacheKey(){const a=this._lights;for(let y=0;y<a.length;y++){const E=a[y];if(Xb.push(E.id),Xb.push(E.castShadow?1:0),E.isSpotLight===!0){const z=E.map!==null?E.map.id:-1,ee=E.colorNode?E.colorNode.getCacheKey():-1;Xb.push(z,ee)}}const x=kv(Xb);return Xb.length=0,x}getHash(a){if(this._lightNodesHash===null){this._lightNodes===null&&this.setupLightsNode(a);const x=[];for(const y of this._lightNodes)x.push(y.getHash());this._lightNodesHash="lights-"+x.join(",")}return this._lightNodesHash}analyze(a){const x=a.getNodeProperties(this);for(const y of x.nodes)y.build(a);x.outputNode.build(a)}setupLightsNode(a){const x=[],y=this._lightNodes,E=Eq(this._lights),z=a.renderer.library;for(const ee of E)if(ee.isNode)x.push(Sr(ee));else{let te=null;if(y!==null&&(te=wq(ee.id,y)),te===null){const ne=z.getLightNodeClass(ee.constructor);if(ne===null){wn(`LightsNode.setupNodeLights: Light node not found for ${ee.constructor.name}`);continue}let ie=null;QS.has(ee)?ie=QS.get(ee):(ie=Sr(new ne(ee)),QS.set(ee,ie)),x.push(ie)}}this._lightNodes=x}setupDirectLight(a,x,y){const{lightingModel:E,reflectedLight:z}=a.context;E.direct(gp($u({},y),{lightNode:x,reflectedLight:z}),a)}setupDirectRectAreaLight(a,x,y){const{lightingModel:E,reflectedLight:z}=a.context;E.directRectArea(gp($u({},y),{lightNode:x,reflectedLight:z}),a)}setupLights(a,x){for(const y of x)y.build(a)}getLightNodes(a){return this._lightNodes===null&&this.setupLightsNode(a),this._lightNodes}setup(a){const x=a.lightsNode;a.lightsNode=this;let y=this.outgoingLightNode;const E=a.context,z=E.lightingModel,ee=a.getNodeProperties(this);if(z){const{totalDiffuseNode:te,totalSpecularNode:ne}=this;E.outgoingLight=y;const ie=a.addStack();ee.nodes=ie.nodes,z.start(a);const{backdrop:ae,backdropAlpha:oe}=E,{directDiffuse:le,directSpecular:ue,indirectDiffuse:he,indirectSpecular:xe}=E.reflectedLight;let ve=le.add(he);ae!==null&&(oe!==null?ve=sn(oe.mix(ve,ae)):ve=sn(ae)),te.assign(ve),ne.assign(ue.add(xe)),y.assign(te.add(ne)),z.finish(a),y=y.bypass(a.removeStack())}else ee.nodes=[];return a.lightsNode=x,y}setLights(a){return this._lights=a,this._lightNodes=null,this._lightNodesHash=null,this}getLights(){return this._lights}get hasLights(){return this._lights.length>0}}const Cq=(b=[])=>Sr(new ZS).setLights(b);class Pq extends vs{static get type(){return"ShadowBaseNode"}constructor(a){super(),this.light=a,this.updateBeforeType=Ua.RENDER,this.isShadowBaseNode=!0}setupShadowPosition({context:a,material:x}){YS.assign(x.receivedShadowPositionNode||a.shadowPositionWorld||Sh)}}const YS=_p("vec3","shadowPositionWorld");function JS(b,a={}){return a.toneMapping=b.toneMapping,a.toneMappingExposure=b.toneMappingExposure,a.outputColorSpace=b.outputColorSpace,a.renderTarget=b.getRenderTarget(),a.activeCubeFace=b.getActiveCubeFace(),a.activeMipmapLevel=b.getActiveMipmapLevel(),a.renderObjectFunction=b.getRenderObjectFunction(),a.pixelRatio=b.getPixelRatio(),a.mrt=b.getMRT(),a.clearColor=b.getClearColor(a.clearColor||new Ki),a.clearAlpha=b.getClearAlpha(),a.autoClear=b.autoClear,a.scissorTest=b.getScissorTest(),a}function N7(b,a){return a=JS(b,a),b.setMRT(null),b.setRenderObjectFunction(null),b.setClearColor(0,1),b.autoClear=!0,a}function F7(b,a){b.toneMapping=a.toneMapping,b.toneMappingExposure=a.toneMappingExposure,b.outputColorSpace=a.outputColorSpace,b.setRenderTarget(a.renderTarget,a.activeCubeFace,a.activeMipmapLevel),b.setRenderObjectFunction(a.renderObjectFunction),b.setPixelRatio(a.pixelRatio),b.setMRT(a.mrt),b.setClearColor(a.clearColor,a.clearAlpha),b.autoClear=a.autoClear,b.setScissorTest(a.scissorTest)}function KS(b,a={}){return a.background=b.background,a.backgroundNode=b.backgroundNode,a.overrideMaterial=b.overrideMaterial,a}function L7(b,a){return a=KS(b,a),b.background=null,b.backgroundNode=null,b.overrideMaterial=null,a}function R7(b,a){b.background=a.background,b.backgroundNode=a.backgroundNode,b.overrideMaterial=a.overrideMaterial}function Sq(b,a,x={}){return x=JS(b,x),x=KS(a,x),x}function O7(b,a,x){return x=N7(b,x),x=L7(a,x),x}function z7(b,a,x){F7(b,x),R7(a,x)}var ofe=Object.freeze({__proto__:null,resetRendererAndSceneState:O7,resetRendererState:N7,resetSceneState:L7,restoreRendererAndSceneState:z7,restoreRendererState:F7,restoreSceneState:R7,saveRendererAndSceneState:Sq,saveRendererState:JS,saveSceneState:KS});const k7=new WeakMap,H7=hn(({depthTexture:b,shadowCoord:a,depthLayer:x})=>{let y=go(b,a.xy).setName("t_basic");return b.isArrayTexture&&(y=y.depth(x)),y.compare(a.z)}),U7=hn(({depthTexture:b,shadowCoord:a,shadow:x,depthLayer:y})=>{const E=(ve,me)=>{let Pe=go(b,ve);return b.isArrayTexture&&(Pe=Pe.depth(y)),Pe.compare(me)},z=jl("mapSize","vec2",x).setGroup(Hs),ee=jl("radius","float",x).setGroup(Hs),te=Br(1).div(z),ne=te.x.negate().mul(ee),ie=te.y.negate().mul(ee),ae=te.x.mul(ee),oe=te.y.mul(ee),le=ne.div(2),ue=ie.div(2),he=ae.div(2),xe=oe.div(2);return Ac(E(a.xy.add(Br(ne,ie)),a.z),E(a.xy.add(Br(0,ie)),a.z),E(a.xy.add(Br(ae,ie)),a.z),E(a.xy.add(Br(le,ue)),a.z),E(a.xy.add(Br(0,ue)),a.z),E(a.xy.add(Br(he,ue)),a.z),E(a.xy.add(Br(ne,0)),a.z),E(a.xy.add(Br(le,0)),a.z),E(a.xy,a.z),E(a.xy.add(Br(he,0)),a.z),E(a.xy.add(Br(ae,0)),a.z),E(a.xy.add(Br(le,xe)),a.z),E(a.xy.add(Br(0,xe)),a.z),E(a.xy.add(Br(he,xe)),a.z),E(a.xy.add(Br(ne,oe)),a.z),E(a.xy.add(Br(0,oe)),a.z),E(a.xy.add(Br(ae,oe)),a.z)).mul(1/17)}),j7=hn(({depthTexture:b,shadowCoord:a,shadow:x,depthLayer:y})=>{const E=(oe,le)=>{let ue=go(b,oe);return b.isArrayTexture&&(ue=ue.depth(y)),ue.compare(le)},z=jl("mapSize","vec2",x).setGroup(Hs),ee=Br(1).div(z),te=ee.x,ne=ee.y,ie=a.xy,ae=$p(ie.mul(z).add(.5));return ie.subAssign(ae.mul(ee)),Ac(E(ie,a.z),E(ie.add(Br(te,0)),a.z),E(ie.add(Br(0,ne)),a.z),E(ie.add(ee),a.z),Qo(E(ie.add(Br(te.negate(),0)),a.z),E(ie.add(Br(te.mul(2),0)),a.z),ae.x),Qo(E(ie.add(Br(te.negate(),ne)),a.z),E(ie.add(Br(te.mul(2),ne)),a.z),ae.x),Qo(E(ie.add(Br(0,ne.negate())),a.z),E(ie.add(Br(0,ne.mul(2))),a.z),ae.y),Qo(E(ie.add(Br(te,ne.negate())),a.z),E(ie.add(Br(te,ne.mul(2))),a.z),ae.y),Qo(Qo(E(ie.add(Br(te.negate(),ne.negate())),a.z),E(ie.add(Br(te.mul(2),ne.negate())),a.z),ae.x),Qo(E(ie.add(Br(te.negate(),ne.mul(2))),a.z),E(ie.add(Br(te.mul(2),ne.mul(2))),a.z),ae.x),ae.y)).mul(1/9)}),V7=hn(({depthTexture:b,shadowCoord:a,depthLayer:x})=>{const y=lt(1).toVar();let E=go(b).sample(a.xy);b.isArrayTexture&&(E=E.depth(x)),E=E.rg;const z=tw(a.z,E.x);return Ms(z.notEqual(lt(1)),()=>{const ee=a.z.sub(E.x),te=du(0,E.y.mul(E.y));let ne=te.div(te.add(ee.mul(ee)));ne=ip(Io(ne,.3).div(.95-.3)),y.assign(ip(du(z,ne)))}),y}),Bq=hn(([b,a,x])=>{let y=Sh.sub(b).length();return y=y.sub(a).div(x.sub(a)),y=y.saturate(),y}),Mq=b=>{const a=b.shadow.camera,x=jl("near","float",a).setGroup(Hs),y=jl("far","float",a).setGroup(Hs),E=k4(b);return Bq(E,x,y)},G7=b=>{let a=k7.get(b);if(a===void 0){const x=b.isPointLight?Mq(b):null;a=new Bu,a.colorNode=ns(0,0,0,1),a.depthNode=x,a.isShadowPassMaterial=!0,a.name="ShadowMaterial",a.fog=!1,k7.set(b,a)}return a},X7=new tm,Ix=[],W7=(b,a,x,y)=>{Ix[0]=b,Ix[1]=a;let E=X7.get(Ix);return(E===void 0||E.shadowType!==x||E.useVelocity!==y)&&(E=(z,ee,te,ne,ie,ae,...oe)=>{(z.castShadow===!0||z.receiveShadow&&x===lu)&&(y&&(W2(z).useVelocity=!0),z.onBeforeShadow(b,z,te,a.camera,ne,ee.overrideMaterial,ae),b.renderObject(z,ee,te,ne,ie,ae,...oe),z.onAfterShadow(b,z,te,a.camera,ne,ee.overrideMaterial,ae))},E.shadowType=x,E.useVelocity=y,X7.set(Ix,E)),Ix[0]=null,Ix[1]=null,E},Tq=hn(({samples:b,radius:a,size:x,shadowPass:y,depthLayer:E})=>{const z=lt(0).toVar("meanVertical"),ee=lt(0).toVar("squareMeanVertical"),te=b.lessThanEqual(lt(1)).select(lt(0),lt(2).div(b.sub(1))),ne=b.lessThanEqual(lt(1)).select(lt(0),lt(-1));ml({start:Jt(0),end:Jt(b),type:"int",condition:"<"},({i:ae})=>{const oe=ne.add(lt(ae).mul(te));let le=y.sample(Ac(Qy.xy,Br(0,oe).mul(a)).div(x));y.value.isArrayTexture&&(le=le.depth(E)),le=le.x,z.addAssign(le),ee.addAssign(le.mul(le))}),z.divAssign(b),ee.divAssign(b);const ie=jf(ee.sub(z.mul(z)));return Br(z,ie)}),Dq=hn(({samples:b,radius:a,size:x,shadowPass:y,depthLayer:E})=>{const z=lt(0).toVar("meanHorizontal"),ee=lt(0).toVar("squareMeanHorizontal"),te=b.lessThanEqual(lt(1)).select(lt(0),lt(2).div(b.sub(1))),ne=b.lessThanEqual(lt(1)).select(lt(0),lt(-1));ml({start:Jt(0),end:Jt(b),type:"int",condition:"<"},({i:ae})=>{const oe=ne.add(lt(ae).mul(te));let le=y.sample(Ac(Qy.xy,Br(oe,0).mul(a)).div(x));y.value.isArrayTexture&&(le=le.depth(E)),z.addAssign(le.x),ee.addAssign(Ac(le.y.mul(le.y),le.x.mul(le.x)))}),z.divAssign(b),ee.divAssign(b);const ie=jf(ee.sub(z.mul(z)));return Br(z,ie)}),Iq=[H7,U7,j7,V7];let qS;const Vw=new Ob;class Q7 extends Pq{static get type(){return"ShadowNode"}constructor(a,x=null){super(a),this.shadow=x||a.shadow,this.shadowMap=null,this.vsmShadowMapVertical=null,this.vsmShadowMapHorizontal=null,this.vsmMaterialVertical=null,this.vsmMaterialHorizontal=null,this._node=null,this._currentShadowType=null,this._cameraFrameId=new WeakMap,this.isShadowNode=!0,this.depthLayer=0}setupShadowFilter(a,{filterFn:x,depthTexture:y,shadowCoord:E,shadow:z,depthLayer:ee}){const te=E.x.greaterThanEqual(0).and(E.x.lessThanEqual(1)).and(E.y.greaterThanEqual(0)).and(E.y.lessThanEqual(1)).and(E.z.lessThanEqual(1)),ne=x({depthTexture:y,shadowCoord:E,shadow:z,depthLayer:ee});return te.select(ne,lt(1))}setupShadowCoord(a,x){const{shadow:y}=this,{renderer:E}=a,z=jl("bias","float",y).setGroup(Hs);let ee=x,te;if(y.camera.isOrthographicCamera||E.logarithmicDepthBuffer!==!0)ee=ee.xyz.div(ee.w),te=ee.z,E.coordinateSystem===bt&&(te=te.mul(2).sub(1));else{const ne=ee.w;ee=ee.xy.div(ne);const ie=jl("near","float",y.camera).setGroup(Hs),ae=jl("far","float",y.camera).setGroup(Hs);te=cS(ne.negate(),ie,ae)}return ee=sn(ee.x,ee.y.oneMinus(),te.add(z)),ee}getShadowFilterFn(a){return Iq[a]}setupRenderTarget(a,x){const y=new yh(a.mapSize.width,a.mapSize.height);y.name="ShadowDepthTexture",y.compareFunction=mu;const E=x.createRenderTarget(a.mapSize.width,a.mapSize.height);return E.texture.name="ShadowMap",E.texture.type=a.mapType,E.depthTexture=y,{shadowMap:E,depthTexture:y}}setupShadow(a){const{renderer:x,camera:y}=a,{light:E,shadow:z}=this,ee=x.shadowMap.type,{depthTexture:te,shadowMap:ne}=this.setupRenderTarget(z,a);if(z.camera.coordinateSystem=y.coordinateSystem,z.camera.updateProjectionMatrix(),ee===lu&&z.isPointLightShadow!==!0){te.compareFunction=null,ne.depth>1?(ne._vsmShadowMapVertical||(ne._vsmShadowMapVertical=a.createRenderTarget(z.mapSize.width,z.mapSize.height,{format:vf,type:bl,depth:ne.depth,depthBuffer:!1}),ne._vsmShadowMapVertical.texture.name="VSMVertical"),this.vsmShadowMapVertical=ne._vsmShadowMapVertical,ne._vsmShadowMapHorizontal||(ne._vsmShadowMapHorizontal=a.createRenderTarget(z.mapSize.width,z.mapSize.height,{format:vf,type:bl,depth:ne.depth,depthBuffer:!1}),ne._vsmShadowMapHorizontal.texture.name="VSMHorizontal"),this.vsmShadowMapHorizontal=ne._vsmShadowMapHorizontal):(this.vsmShadowMapVertical=a.createRenderTarget(z.mapSize.width,z.mapSize.height,{format:vf,type:bl,depthBuffer:!1}),this.vsmShadowMapHorizontal=a.createRenderTarget(z.mapSize.width,z.mapSize.height,{format:vf,type:bl,depthBuffer:!1}));let we=go(te);te.isArrayTexture&&(we=we.depth(this.depthLayer));let Me=go(this.vsmShadowMapVertical.texture);te.isArrayTexture&&(Me=Me.depth(this.depthLayer));const Le=jl("blurSamples","float",z).setGroup(Hs),De=jl("radius","float",z).setGroup(Hs),ke=jl("mapSize","vec2",z).setGroup(Hs);let ze=this.vsmMaterialVertical||(this.vsmMaterialVertical=new Bu);ze.fragmentNode=Tq({samples:Le,radius:De,size:ke,shadowPass:we,depthLayer:this.depthLayer}).context(a.getSharedContext()),ze.name="VSMVertical",ze=this.vsmMaterialHorizontal||(this.vsmMaterialHorizontal=new Bu),ze.fragmentNode=Dq({samples:Le,radius:De,size:ke,shadowPass:Me,depthLayer:this.depthLayer}).context(a.getSharedContext()),ze.name="VSMHorizontal"}const ie=jl("intensity","float",z).setGroup(Hs),ae=jl("normalBias","float",z).setGroup(Hs),oe=jw(E).mul(YS.add(G0.mul(ae))),le=this.setupShadowCoord(a,oe),ue=z.filterNode||this.getShadowFilterFn(x.shadowMap.type)||null;if(ue===null)throw new Error("THREE.WebGPURenderer: Shadow map type not supported yet.");const he=ee===lu&&z.isPointLightShadow!==!0?this.vsmShadowMapHorizontal.texture:te,xe=this.setupShadowFilter(a,{filterFn:ue,shadowTexture:ne.texture,depthTexture:he,shadowCoord:le,shadow:z,depthLayer:this.depthLayer});let ve=go(ne.texture,le);te.isArrayTexture&&(ve=ve.depth(this.depthLayer));const me=Qo(1,xe.rgb.mix(ve,1),ie.mul(ve.a)).toVar();this.shadowMap=ne,this.shadow.map=ne;const Pe=`${this.light.type} Shadow [ ${this.light.name||"ID: "+this.light.id} ]`;return me.toInspector(`${Pe} / Color`,()=>go(this.shadowMap.texture)).toInspector(`${Pe} / Depth`,()=>Hu(this.shadowMap.depthTexture,Pl().mul(Jg(go(this.shadowMap.depthTexture)))).x.oneMinus())}setup(a){if(a.renderer.shadowMap.enabled!==!1)return hn(()=>{const x=a.renderer.shadowMap.type;this._currentShadowType!==x&&(this._reset(),this._node=null);let y=this._node;return this.setupShadowPosition(a),y===null&&(this._node=y=this.setupShadow(a),this._currentShadowType=x),a.material.shadowNode&&wn('NodeMaterial: ".shadowNode" is deprecated. Use ".castShadowNode" instead.'),a.material.receivedShadowNode&&(y=a.material.receivedShadowNode(y)),y})()}renderShadow(a){const{shadow:x,shadowMap:y,light:E}=this,{renderer:z,scene:ee}=a;x.updateMatrices(E),y.setSize(x.mapSize.width,x.mapSize.height,y.depth);const te=ee.name;ee.name=`Shadow Map [ ${E.name||"ID: "+E.id} ]`,z.render(ee,x.camera),ee.name=te}updateShadow(a){const{shadowMap:x,light:y,shadow:E}=this,{renderer:z,scene:ee,camera:te}=a,ne=z.shadowMap.type,ie=x.depthTexture.version;this._depthVersionCached=ie;const ae=E.camera.layers.mask;E.camera.layers.mask&4294967294||(E.camera.layers.mask=te.layers.mask);const oe=z.getRenderObjectFunction(),le=z.getMRT(),ue=le?le.has("velocity"):!1;qS=O7(z,ee,qS),ee.overrideMaterial=G7(y),z.setRenderObjectFunction(W7(z,E,ne,ue)),z.setClearColor(0,0),z.setRenderTarget(x),this.renderShadow(a),z.setRenderObjectFunction(oe),ne===lu&&E.isPointLightShadow!==!0&&this.vsmPass(z),E.camera.layers.mask=ae,z7(z,ee,qS)}vsmPass(a){const{shadow:x}=this,y=this.shadowMap.depth;this.vsmShadowMapVertical.setSize(x.mapSize.width,x.mapSize.height,y),this.vsmShadowMapHorizontal.setSize(x.mapSize.width,x.mapSize.height,y),a.setRenderTarget(this.vsmShadowMapVertical),Vw.material=this.vsmMaterialVertical,Vw.render(a),a.setRenderTarget(this.vsmShadowMapHorizontal),Vw.material=this.vsmMaterialHorizontal,Vw.render(a)}dispose(){this._reset(),super.dispose()}_reset(){this._currentShadowType=null,this.shadowMap&&(this.shadowMap.dispose(),this.shadowMap=null),this.vsmShadowMapVertical!==null&&(this.vsmShadowMapVertical.dispose(),this.vsmShadowMapVertical=null,this.vsmMaterialVertical.dispose(),this.vsmMaterialVertical=null),this.vsmShadowMapHorizontal!==null&&(this.vsmShadowMapHorizontal.dispose(),this.vsmShadowMapHorizontal=null,this.vsmMaterialHorizontal.dispose(),this.vsmMaterialHorizontal=null)}updateBefore(a){const{shadow:x}=this;let y=x.needsUpdate||x.autoUpdate;y&&(this._cameraFrameId[a.camera]===a.frameId&&(y=!1),this._cameraFrameId[a.camera]=a.frameId),y&&(this.updateShadow(a),this.shadowMap.depthTexture.version===this._depthVersionCached&&(x.needsUpdate=!1))}}const Z7=(b,a)=>Sr(new Q7(b,a)),Nq=new Ki,nm=hn(([b,a])=>{const x=b.toVar(),y=_l(x),E=wh(1,du(y.x,du(y.y,y.z)));y.mulAssign(E),x.mulAssign(E.mul(a.mul(2).oneMinus()));const z=Br(x.xy).toVar(),te=a.mul(1.5).oneMinus();return Ms(y.z.greaterThanEqual(te),()=>{Ms(x.z.greaterThan(0),()=>{z.x.assign(Io(4,x.x))})}).ElseIf(y.x.greaterThanEqual(te),()=>{const ne=Uy(x.x);z.x.assign(x.z.mul(ne).add(ne.mul(2)))}).ElseIf(y.y.greaterThanEqual(te),()=>{const ne=Uy(x.y);z.x.assign(x.x.add(ne.mul(2)).add(2)),z.y.assign(x.z.mul(ne).sub(2))}),Br(.125,.25).mul(z).add(Br(.375,.75)).flipY()}).setLayout({name:"cubeToUV",type:"vec2",inputs:[{name:"pos",type:"vec3"},{name:"texelSizeY",type:"float"}]}),Y7=hn(({depthTexture:b,bd3D:a,dp:x,texelSize:y})=>go(b,nm(a,y.y)).compare(x)),J7=hn(({depthTexture:b,bd3D:a,dp:x,texelSize:y,shadow:E})=>{const z=jl("radius","float",E).setGroup(Hs),ee=Br(-1,1).mul(z).mul(y.y);return go(b,nm(a.add(ee.xyy),y.y)).compare(x).add(go(b,nm(a.add(ee.yyy),y.y)).compare(x)).add(go(b,nm(a.add(ee.xyx),y.y)).compare(x)).add(go(b,nm(a.add(ee.yyx),y.y)).compare(x)).add(go(b,nm(a,y.y)).compare(x)).add(go(b,nm(a.add(ee.xxy),y.y)).compare(x)).add(go(b,nm(a.add(ee.yxy),y.y)).compare(x)).add(go(b,nm(a.add(ee.xxx),y.y)).compare(x)).add(go(b,nm(a.add(ee.yxx),y.y)).compare(x)).mul(1/9)}),Fq=hn(({filterFn:b,depthTexture:a,shadowCoord:x,shadow:y})=>{const E=x.xyz.toVar(),z=E.length(),ee=Ds("float").setGroup(Hs).onRenderUpdate(()=>y.camera.near),te=Ds("float").setGroup(Hs).onRenderUpdate(()=>y.camera.far),ne=jl("bias","float",y).setGroup(Hs),ie=Ds(y.mapSize).setGroup(Hs),ae=lt(1).toVar();return Ms(z.sub(te).lessThanEqual(0).and(z.sub(ee).greaterThanEqual(0)),()=>{const oe=z.sub(ee).div(te.sub(ee)).toVar();oe.addAssign(ne);const le=E.normalize(),ue=Br(1).div(ie.mul(Br(4,2)));ae.assign(b({depthTexture:a,bd3D:le,dp:oe,texelSize:ue,shadow:y}))}),ae}),K7=new la,Nx=new ar,Wb=new ar;class Lq extends Q7{static get type(){return"PointShadowNode"}constructor(a,x=null){super(a,x)}getShadowFilterFn(a){return a===Nf?Y7:J7}setupShadowCoord(a,x){return x}setupShadowFilter(a,{filterFn:x,shadowTexture:y,depthTexture:E,shadowCoord:z,shadow:ee}){return Fq({filterFn:x,shadowTexture:y,depthTexture:E,shadowCoord:z,shadow:ee})}renderShadow(a){const{shadow:x,shadowMap:y,light:E}=this,{renderer:z,scene:ee}=a,te=x.getFrameExtents();Wb.copy(x.mapSize),Wb.multiply(te),y.setSize(Wb.width,Wb.height),Nx.copy(x.mapSize);const ne=z.autoClear,ie=z.getClearColor(Nq),ae=z.getClearAlpha();z.autoClear=!1,z.setClearColor(x.clearColor,x.clearAlpha),z.clear();const oe=x.getViewportCount();for(let le=0;le<oe;le++){const ue=x.getViewport(le),he=Nx.x*ue.x,xe=Wb.y-Nx.y-Nx.y*ue.y;K7.set(he,xe,Nx.x*ue.z,Nx.y*ue.w),y.viewport.copy(K7),x.updateMatrices(E,le);const ve=ee.name;ee.name=`Point Light Shadow [ ${E.name||"ID: "+E.id} ] - Face ${le+1}`,z.render(ee,x.camera),ee.name=ve}z.autoClear=ne,z.setClearColor(ie,ae)}}const q7=(b,a)=>Sr(new Lq(b,a));class rA extends bx{static get type(){return"AnalyticLightNode"}constructor(a=null){super(),this.light=a,this.color=new Ki,this.colorNode=a&&a.colorNode||Ds(this.color).setGroup(Hs),this.baseColorNode=null,this.shadowNode=null,this.shadowColorNode=null,this.isAnalyticLightNode=!0,this.updateType=Ua.FRAME}getHash(){return this.light.uuid}getLightVector(a){return XS(this.light).sub(a.context.positionView||qu)}setupDirect(){}setupDirectRectArea(){}setupShadowNode(){return Z7(this.light)}setupShadow(a){const{renderer:x}=a;if(x.shadowMap.enabled===!1)return;let y=this.shadowColorNode;if(y===null){const E=this.light.shadow.shadowNode;let z;E!==void 0?z=Sr(E):z=this.setupShadowNode(),this.shadowNode=z,this.shadowColorNode=y=this.colorNode.mul(z),this.baseColorNode=this.colorNode}this.colorNode=y}setup(a){this.colorNode=this.baseColorNode||this.colorNode,this.light.castShadow?a.object.receiveShadow&&this.setupShadow(a):this.shadowNode!==null&&(this.shadowNode.dispose(),this.shadowNode=null,this.shadowColorNode=null);const x=this.setupDirect(a),y=this.setupDirectRectArea(a);x&&a.lightsNode.setupDirectLight(a,this,x),y&&a.lightsNode.setupDirectRectAreaLight(a,this,y)}update(){const{light:a}=this;this.color.copy(a.color).multiplyScalar(a.intensity)}}const _S=hn(({lightDistance:b,cutoffDistance:a,decayExponent:x})=>{const y=b.pow(x).max(.01).reciprocal();return a.greaterThan(0).select(y.mul(b.div(a).pow4().oneMinus().clamp().pow2()),y)}),_7=({color:b,lightVector:a,cutoffDistance:x,decayExponent:y})=>{const E=a.normalize(),z=a.length(),ee=_S({lightDistance:z,cutoffDistance:x,decayExponent:y}),te=b.mul(ee);return{lightDirection:E,lightColor:te}};class Rq extends rA{static get type(){return"PointLightNode"}constructor(a=null){super(a),this.cutoffDistanceNode=Ds(0).setGroup(Hs),this.decayExponentNode=Ds(2).setGroup(Hs)}update(a){const{light:x}=this;super.update(a),this.cutoffDistanceNode.value=x.distance,this.decayExponentNode.value=x.decay}setupShadowNode(){return q7(this.light)}setupDirect(a){return _7({color:this.colorNode,lightVector:this.getLightVector(a),cutoffDistance:this.cutoffDistanceNode,decayExponent:this.decayExponentNode})}}const Oq=hn(([b=Pl()])=>{const a=b.mul(2),x=a.x.floor(),y=a.y.floor();return x.add(y).mod(2).sign()}),zq=hn(([b=Pl()],{renderer:a,material:x})=>{const y=CP(b.mul(2).sub(1));let E;if(x.alphaToCoverage&&a.currentSamples>0){const z=lt(y.fwidth()).toVar();E=Ch(z.oneMinus(),z.add(1),y).oneMinus()}else E=Fc(y.greaterThan(1),0,1);return E}),Qb=hn(([b,a,x])=>{const y=lt(x).toVar(),E=lt(a).toVar(),z=tp(b).toVar();return Fc(z,E,y)}).setLayout({name:"mx_select",type:"float",inputs:[{name:"b",type:"bool"},{name:"t",type:"float"},{name:"f",type:"float"}]}),Gw=hn(([b,a])=>{const x=tp(a).toVar(),y=lt(b).toVar();return Fc(x,y.negate(),y)}).setLayout({name:"mx_negate_if",type:"float",inputs:[{name:"val",type:"float"},{name:"b",type:"bool"}]}),xc=hn(([b])=>{const a=lt(b).toVar();return Jt(Vm(a))}).setLayout({name:"mx_floor",type:"int",inputs:[{name:"x",type:"float"}]}),Au=hn(([b,a])=>{const x=lt(b).toVar();return a.assign(xc(x)),x.sub(lt(a))}),$7=Md([hn(([b,a,x,y,E,z])=>{const ee=lt(z).toVar(),te=lt(E).toVar(),ne=lt(y).toVar(),ie=lt(x).toVar(),ae=lt(a).toVar(),oe=lt(b).toVar(),le=lt(Io(1,te)).toVar();return Io(1,ee).mul(oe.mul(le).add(ae.mul(te))).add(ee.mul(ie.mul(le).add(ne.mul(te))))}).setLayout({name:"mx_bilerp_0",type:"float",inputs:[{name:"v0",type:"float"},{name:"v1",type:"float"},{name:"v2",type:"float"},{name:"v3",type:"float"},{name:"s",type:"float"},{name:"t",type:"float"}]}),hn(([b,a,x,y,E,z])=>{const ee=lt(z).toVar(),te=lt(E).toVar(),ne=sn(y).toVar(),ie=sn(x).toVar(),ae=sn(a).toVar(),oe=sn(b).toVar(),le=lt(Io(1,te)).toVar();return Io(1,ee).mul(oe.mul(le).add(ae.mul(te))).add(ee.mul(ie.mul(le).add(ne.mul(te))))}).setLayout({name:"mx_bilerp_1",type:"vec3",inputs:[{name:"v0",type:"vec3"},{name:"v1",type:"vec3"},{name:"v2",type:"vec3"},{name:"v3",type:"vec3"},{name:"s",type:"float"},{name:"t",type:"float"}]})]),e6=Md([hn(([b,a,x,y,E,z,ee,te,ne,ie,ae])=>{const oe=lt(ae).toVar(),le=lt(ie).toVar(),ue=lt(ne).toVar(),he=lt(te).toVar(),xe=lt(ee).toVar(),ve=lt(z).toVar(),me=lt(E).toVar(),Pe=lt(y).toVar(),we=lt(x).toVar(),Me=lt(a).toVar(),Le=lt(b).toVar(),De=lt(Io(1,ue)).toVar(),ke=lt(Io(1,le)).toVar();return lt(Io(1,oe)).toVar().mul(ke.mul(Le.mul(De).add(Me.mul(ue))).add(le.mul(we.mul(De).add(Pe.mul(ue))))).add(oe.mul(ke.mul(me.mul(De).add(ve.mul(ue))).add(le.mul(xe.mul(De).add(he.mul(ue))))))}).setLayout({name:"mx_trilerp_0",type:"float",inputs:[{name:"v0",type:"float"},{name:"v1",type:"float"},{name:"v2",type:"float"},{name:"v3",type:"float"},{name:"v4",type:"float"},{name:"v5",type:"float"},{name:"v6",type:"float"},{name:"v7",type:"float"},{name:"s",type:"float"},{name:"t",type:"float"},{name:"r",type:"float"}]}),hn(([b,a,x,y,E,z,ee,te,ne,ie,ae])=>{const oe=lt(ae).toVar(),le=lt(ie).toVar(),ue=lt(ne).toVar(),he=sn(te).toVar(),xe=sn(ee).toVar(),ve=sn(z).toVar(),me=sn(E).toVar(),Pe=sn(y).toVar(),we=sn(x).toVar(),Me=sn(a).toVar(),Le=sn(b).toVar(),De=lt(Io(1,ue)).toVar(),ke=lt(Io(1,le)).toVar();return lt(Io(1,oe)).toVar().mul(ke.mul(Le.mul(De).add(Me.mul(ue))).add(le.mul(we.mul(De).add(Pe.mul(ue))))).add(oe.mul(ke.mul(me.mul(De).add(ve.mul(ue))).add(le.mul(xe.mul(De).add(he.mul(ue))))))}).setLayout({name:"mx_trilerp_1",type:"vec3",inputs:[{name:"v0",type:"vec3"},{name:"v1",type:"vec3"},{name:"v2",type:"vec3"},{name:"v3",type:"vec3"},{name:"v4",type:"vec3"},{name:"v5",type:"vec3"},{name:"v6",type:"vec3"},{name:"v7",type:"vec3"},{name:"s",type:"float"},{name:"t",type:"float"},{name:"r",type:"float"}]})]),cd=Md([hn(([b,a,x])=>{const y=lt(x).toVar(),E=lt(a).toVar(),z=ai(b).toVar(),ee=ai(z.bitAnd(ai(7))).toVar(),te=lt(Qb(ee.lessThan(ai(4)),E,y)).toVar(),ne=lt(Ia(2,Qb(ee.lessThan(ai(4)),y,E))).toVar();return Gw(te,tp(ee.bitAnd(ai(1)))).add(Gw(ne,tp(ee.bitAnd(ai(2)))))}).setLayout({name:"mx_gradient_float_0",type:"float",inputs:[{name:"hash",type:"uint"},{name:"x",type:"float"},{name:"y",type:"float"}]}),hn(([b,a,x,y])=>{const E=lt(y).toVar(),z=lt(x).toVar(),ee=lt(a).toVar(),te=ai(b).toVar(),ne=ai(te.bitAnd(ai(15))).toVar(),ie=lt(Qb(ne.lessThan(ai(8)),ee,z)).toVar(),ae=lt(Qb(ne.lessThan(ai(4)),z,Qb(ne.equal(ai(12)).or(ne.equal(ai(14))),ee,E))).toVar();return Gw(ie,tp(ne.bitAnd(ai(1)))).add(Gw(ae,tp(ne.bitAnd(ai(2)))))}).setLayout({name:"mx_gradient_float_1",type:"float",inputs:[{name:"hash",type:"uint"},{name:"x",type:"float"},{name:"y",type:"float"},{name:"z",type:"float"}]})]),cp=Md([hn(([b,a,x])=>{const y=lt(x).toVar(),E=lt(a).toVar(),z=dx(b).toVar();return sn(cd(z.x,E,y),cd(z.y,E,y),cd(z.z,E,y))}).setLayout({name:"mx_gradient_vec3_0",type:"vec3",inputs:[{name:"hash",type:"uvec3"},{name:"x",type:"float"},{name:"y",type:"float"}]}),hn(([b,a,x,y])=>{const E=lt(y).toVar(),z=lt(x).toVar(),ee=lt(a).toVar(),te=dx(b).toVar();return sn(cd(te.x,ee,z,E),cd(te.y,ee,z,E),cd(te.z,ee,z,E))}).setLayout({name:"mx_gradient_vec3_1",type:"vec3",inputs:[{name:"hash",type:"uvec3"},{name:"x",type:"float"},{name:"y",type:"float"},{name:"z",type:"float"}]})]),kq=hn(([b])=>{const a=lt(b).toVar();return Ia(.6616,a)}).setLayout({name:"mx_gradient_scale2d_0",type:"float",inputs:[{name:"v",type:"float"}]}),Hq=hn(([b])=>{const a=lt(b).toVar();return Ia(.982,a)}).setLayout({name:"mx_gradient_scale3d_0",type:"float",inputs:[{name:"v",type:"float"}]}),t6=Md([kq,hn(([b])=>{const a=sn(b).toVar();return Ia(.6616,a)}).setLayout({name:"mx_gradient_scale2d_1",type:"vec3",inputs:[{name:"v",type:"vec3"}]})]),n6=Md([Hq,hn(([b])=>{const a=sn(b).toVar();return Ia(.982,a)}).setLayout({name:"mx_gradient_scale3d_1",type:"vec3",inputs:[{name:"v",type:"vec3"}]})]),Mh=hn(([b,a])=>{const x=Jt(a).toVar(),y=ai(b).toVar();return y.shiftLeft(x).bitOr(y.shiftRight(Jt(32).sub(x)))}).setLayout({name:"mx_rotl32",type:"uint",inputs:[{name:"x",type:"uint"},{name:"k",type:"int"}]}),r6=hn(([b,a,x])=>{b.subAssign(x),b.bitXorAssign(Mh(x,Jt(4))),x.addAssign(a),a.subAssign(b),a.bitXorAssign(Mh(b,Jt(6))),b.addAssign(x),x.subAssign(a),x.bitXorAssign(Mh(a,Jt(8))),a.addAssign(b),b.subAssign(x),b.bitXorAssign(Mh(x,Jt(16))),x.addAssign(a),a.subAssign(b),a.bitXorAssign(Mh(b,Jt(19))),b.addAssign(x),x.subAssign(a),x.bitXorAssign(Mh(a,Jt(4))),a.addAssign(b)}),Zb=hn(([b,a,x])=>{const y=ai(x).toVar(),E=ai(a).toVar(),z=ai(b).toVar();return y.bitXorAssign(E),y.subAssign(Mh(E,Jt(14))),z.bitXorAssign(y),z.subAssign(Mh(y,Jt(11))),E.bitXorAssign(z),E.subAssign(Mh(z,Jt(25))),y.bitXorAssign(E),y.subAssign(Mh(E,Jt(16))),z.bitXorAssign(y),z.subAssign(Mh(y,Jt(4))),E.bitXorAssign(z),E.subAssign(Mh(z,Jt(14))),y.bitXorAssign(E),y.subAssign(Mh(E,Jt(24))),y}).setLayout({name:"mx_bjfinal",type:"uint",inputs:[{name:"a",type:"uint"},{name:"b",type:"uint"},{name:"c",type:"uint"}]}),ef=hn(([b])=>{const a=ai(b).toVar();return lt(a).div(lt(ai(Jt(4294967295))))}).setLayout({name:"mx_bits_to_01",type:"float",inputs:[{name:"bits",type:"uint"}]}),Km=hn(([b])=>{const a=lt(b).toVar();return a.mul(a).mul(a).mul(a.mul(a.mul(6).sub(15)).add(10))}).setLayout({name:"mx_fade",type:"float",inputs:[{name:"t",type:"float"}]}),Nl=Md([hn(([b])=>{const a=Jt(b).toVar(),x=ai(ai(1)).toVar(),y=ai(ai(Jt(3735928559)).add(x.shiftLeft(ai(2))).add(ai(13))).toVar();return Zb(y.add(ai(a)),y,y)}).setLayout({name:"mx_hash_int_0",type:"uint",inputs:[{name:"x",type:"int"}]}),hn(([b,a])=>{const x=Jt(a).toVar(),y=Jt(b).toVar(),E=ai(ai(2)).toVar(),z=ai().toVar(),ee=ai().toVar(),te=ai().toVar();return z.assign(ee.assign(te.assign(ai(Jt(3735928559)).add(E.shiftLeft(ai(2))).add(ai(13))))),z.addAssign(ai(y)),ee.addAssign(ai(x)),Zb(z,ee,te)}).setLayout({name:"mx_hash_int_1",type:"uint",inputs:[{name:"x",type:"int"},{name:"y",type:"int"}]}),hn(([b,a,x])=>{const y=Jt(x).toVar(),E=Jt(a).toVar(),z=Jt(b).toVar(),ee=ai(ai(3)).toVar(),te=ai().toVar(),ne=ai().toVar(),ie=ai().toVar();return te.assign(ne.assign(ie.assign(ai(Jt(3735928559)).add(ee.shiftLeft(ai(2))).add(ai(13))))),te.addAssign(ai(z)),ne.addAssign(ai(E)),ie.addAssign(ai(y)),Zb(te,ne,ie)}).setLayout({name:"mx_hash_int_2",type:"uint",inputs:[{name:"x",type:"int"},{name:"y",type:"int"},{name:"z",type:"int"}]}),hn(([b,a,x,y])=>{const E=Jt(y).toVar(),z=Jt(x).toVar(),ee=Jt(a).toVar(),te=Jt(b).toVar(),ne=ai(ai(4)).toVar(),ie=ai().toVar(),ae=ai().toVar(),oe=ai().toVar();return ie.assign(ae.assign(oe.assign(ai(Jt(3735928559)).add(ne.shiftLeft(ai(2))).add(ai(13))))),ie.addAssign(ai(te)),ae.addAssign(ai(ee)),oe.addAssign(ai(z)),r6(ie,ae,oe),ie.addAssign(ai(E)),Zb(ie,ae,oe)}).setLayout({name:"mx_hash_int_3",type:"uint",inputs:[{name:"x",type:"int"},{name:"y",type:"int"},{name:"z",type:"int"},{name:"xx",type:"int"}]}),hn(([b,a,x,y,E])=>{const z=Jt(E).toVar(),ee=Jt(y).toVar(),te=Jt(x).toVar(),ne=Jt(a).toVar(),ie=Jt(b).toVar(),ae=ai(ai(5)).toVar(),oe=ai().toVar(),le=ai().toVar(),ue=ai().toVar();return oe.assign(le.assign(ue.assign(ai(Jt(3735928559)).add(ae.shiftLeft(ai(2))).add(ai(13))))),oe.addAssign(ai(ie)),le.addAssign(ai(ne)),ue.addAssign(ai(te)),r6(oe,le,ue),oe.addAssign(ai(ee)),le.addAssign(ai(z)),Zb(oe,le,ue)}).setLayout({name:"mx_hash_int_4",type:"uint",inputs:[{name:"x",type:"int"},{name:"y",type:"int"},{name:"z",type:"int"},{name:"xx",type:"int"},{name:"yy",type:"int"}]})]),dp=Md([hn(([b,a])=>{const x=Jt(a).toVar(),y=Jt(b).toVar(),E=ai(Nl(y,x)).toVar(),z=dx().toVar();return z.x.assign(E.bitAnd(Jt(255))),z.y.assign(E.shiftRight(Jt(8)).bitAnd(Jt(255))),z.z.assign(E.shiftRight(Jt(16)).bitAnd(Jt(255))),z}).setLayout({name:"mx_hash_vec3_0",type:"uvec3",inputs:[{name:"x",type:"int"},{name:"y",type:"int"}]}),hn(([b,a,x])=>{const y=Jt(x).toVar(),E=Jt(a).toVar(),z=Jt(b).toVar(),ee=ai(Nl(z,E,y)).toVar(),te=dx().toVar();return te.x.assign(ee.bitAnd(Jt(255))),te.y.assign(ee.shiftRight(Jt(8)).bitAnd(Jt(255))),te.z.assign(ee.shiftRight(Jt(16)).bitAnd(Jt(255))),te}).setLayout({name:"mx_hash_vec3_1",type:"uvec3",inputs:[{name:"x",type:"int"},{name:"y",type:"int"},{name:"z",type:"int"}]})]),$S=Md([hn(([b])=>{const a=Br(b).toVar(),x=Jt().toVar(),y=Jt().toVar(),E=lt(Au(a.x,x)).toVar(),z=lt(Au(a.y,y)).toVar(),ee=lt(Km(E)).toVar(),te=lt(Km(z)).toVar(),ne=lt($7(cd(Nl(x,y),E,z),cd(Nl(x.add(Jt(1)),y),E.sub(1),z),cd(Nl(x,y.add(Jt(1))),E,z.sub(1)),cd(Nl(x.add(Jt(1)),y.add(Jt(1))),E.sub(1),z.sub(1)),ee,te)).toVar();return t6(ne)}).setLayout({name:"mx_perlin_noise_float_0",type:"float",inputs:[{name:"p",type:"vec2"}]}),hn(([b])=>{const a=sn(b).toVar(),x=Jt().toVar(),y=Jt().toVar(),E=Jt().toVar(),z=lt(Au(a.x,x)).toVar(),ee=lt(Au(a.y,y)).toVar(),te=lt(Au(a.z,E)).toVar(),ne=lt(Km(z)).toVar(),ie=lt(Km(ee)).toVar(),ae=lt(Km(te)).toVar(),oe=lt(e6(cd(Nl(x,y,E),z,ee,te),cd(Nl(x.add(Jt(1)),y,E),z.sub(1),ee,te),cd(Nl(x,y.add(Jt(1)),E),z,ee.sub(1),te),cd(Nl(x.add(Jt(1)),y.add(Jt(1)),E),z.sub(1),ee.sub(1),te),cd(Nl(x,y,E.add(Jt(1))),z,ee,te.sub(1)),cd(Nl(x.add(Jt(1)),y,E.add(Jt(1))),z.sub(1),ee,te.sub(1)),cd(Nl(x,y.add(Jt(1)),E.add(Jt(1))),z,ee.sub(1),te.sub(1)),cd(Nl(x.add(Jt(1)),y.add(Jt(1)),E.add(Jt(1))),z.sub(1),ee.sub(1),te.sub(1)),ne,ie,ae)).toVar();return n6(oe)}).setLayout({name:"mx_perlin_noise_float_1",type:"float",inputs:[{name:"p",type:"vec3"}]})]),Yb=Md([hn(([b])=>{const a=Br(b).toVar(),x=Jt().toVar(),y=Jt().toVar(),E=lt(Au(a.x,x)).toVar(),z=lt(Au(a.y,y)).toVar(),ee=lt(Km(E)).toVar(),te=lt(Km(z)).toVar(),ne=sn($7(cp(dp(x,y),E,z),cp(dp(x.add(Jt(1)),y),E.sub(1),z),cp(dp(x,y.add(Jt(1))),E,z.sub(1)),cp(dp(x.add(Jt(1)),y.add(Jt(1))),E.sub(1),z.sub(1)),ee,te)).toVar();return t6(ne)}).setLayout({name:"mx_perlin_noise_vec3_0",type:"vec3",inputs:[{name:"p",type:"vec2"}]}),hn(([b])=>{const a=sn(b).toVar(),x=Jt().toVar(),y=Jt().toVar(),E=Jt().toVar(),z=lt(Au(a.x,x)).toVar(),ee=lt(Au(a.y,y)).toVar(),te=lt(Au(a.z,E)).toVar(),ne=lt(Km(z)).toVar(),ie=lt(Km(ee)).toVar(),ae=lt(Km(te)).toVar(),oe=sn(e6(cp(dp(x,y,E),z,ee,te),cp(dp(x.add(Jt(1)),y,E),z.sub(1),ee,te),cp(dp(x,y.add(Jt(1)),E),z,ee.sub(1),te),cp(dp(x.add(Jt(1)),y.add(Jt(1)),E),z.sub(1),ee.sub(1),te),cp(dp(x,y,E.add(Jt(1))),z,ee,te.sub(1)),cp(dp(x.add(Jt(1)),y,E.add(Jt(1))),z.sub(1),ee,te.sub(1)),cp(dp(x,y.add(Jt(1)),E.add(Jt(1))),z,ee.sub(1),te.sub(1)),cp(dp(x.add(Jt(1)),y.add(Jt(1)),E.add(Jt(1))),z.sub(1),ee.sub(1),te.sub(1)),ne,ie,ae)).toVar();return n6(oe)}).setLayout({name:"mx_perlin_noise_vec3_1",type:"vec3",inputs:[{name:"p",type:"vec3"}]})]),Uq=Md([hn(([b])=>{const a=lt(b).toVar(),x=Jt(xc(a)).toVar();return ef(Nl(x))}).setLayout({name:"mx_cell_noise_float_0",type:"float",inputs:[{name:"p",type:"float"}]}),hn(([b])=>{const a=Br(b).toVar(),x=Jt(xc(a.x)).toVar(),y=Jt(xc(a.y)).toVar();return ef(Nl(x,y))}).setLayout({name:"mx_cell_noise_float_1",type:"float",inputs:[{name:"p",type:"vec2"}]}),hn(([b])=>{const a=sn(b).toVar(),x=Jt(xc(a.x)).toVar(),y=Jt(xc(a.y)).toVar(),E=Jt(xc(a.z)).toVar();return ef(Nl(x,y,E))}).setLayout({name:"mx_cell_noise_float_2",type:"float",inputs:[{name:"p",type:"vec3"}]}),hn(([b])=>{const a=ns(b).toVar(),x=Jt(xc(a.x)).toVar(),y=Jt(xc(a.y)).toVar(),E=Jt(xc(a.z)).toVar(),z=Jt(xc(a.w)).toVar();return ef(Nl(x,y,E,z))}).setLayout({name:"mx_cell_noise_float_3",type:"float",inputs:[{name:"p",type:"vec4"}]})]),Xw=Md([hn(([b])=>{const a=lt(b).toVar(),x=Jt(xc(a)).toVar();return sn(ef(Nl(x,Jt(0))),ef(Nl(x,Jt(1))),ef(Nl(x,Jt(2))))}).setLayout({name:"mx_cell_noise_vec3_0",type:"vec3",inputs:[{name:"p",type:"float"}]}),hn(([b])=>{const a=Br(b).toVar(),x=Jt(xc(a.x)).toVar(),y=Jt(xc(a.y)).toVar();return sn(ef(Nl(x,y,Jt(0))),ef(Nl(x,y,Jt(1))),ef(Nl(x,y,Jt(2))))}).setLayout({name:"mx_cell_noise_vec3_1",type:"vec3",inputs:[{name:"p",type:"vec2"}]}),hn(([b])=>{const a=sn(b).toVar(),x=Jt(xc(a.x)).toVar(),y=Jt(xc(a.y)).toVar(),E=Jt(xc(a.z)).toVar();return sn(ef(Nl(x,y,E,Jt(0))),ef(Nl(x,y,E,Jt(1))),ef(Nl(x,y,E,Jt(2))))}).setLayout({name:"mx_cell_noise_vec3_2",type:"vec3",inputs:[{name:"p",type:"vec3"}]}),hn(([b])=>{const a=ns(b).toVar(),x=Jt(xc(a.x)).toVar(),y=Jt(xc(a.y)).toVar(),E=Jt(xc(a.z)).toVar(),z=Jt(xc(a.w)).toVar();return sn(ef(Nl(x,y,E,z,Jt(0))),ef(Nl(x,y,E,z,Jt(1))),ef(Nl(x,y,E,z,Jt(2))))}).setLayout({name:"mx_cell_noise_vec3_3",type:"vec3",inputs:[{name:"p",type:"vec4"}]})]),Ww=hn(([b,a,x,y])=>{const E=lt(y).toVar(),z=lt(x).toVar(),ee=Jt(a).toVar(),te=sn(b).toVar(),ne=lt(0).toVar(),ie=lt(1).toVar();return ml(ee,()=>{ne.addAssign(ie.mul($S(te))),ie.mulAssign(E),te.mulAssign(z)}),ne}).setLayout({name:"mx_fractal_noise_float",type:"float",inputs:[{name:"p",type:"vec3"},{name:"octaves",type:"int"},{name:"lacunarity",type:"float"},{name:"diminish",type:"float"}]}),Qw=hn(([b,a,x,y])=>{const E=lt(y).toVar(),z=lt(x).toVar(),ee=Jt(a).toVar(),te=sn(b).toVar(),ne=sn(0).toVar(),ie=lt(1).toVar();return ml(ee,()=>{ne.addAssign(ie.mul(Yb(te))),ie.mulAssign(E),te.mulAssign(z)}),ne}).setLayout({name:"mx_fractal_noise_vec3",type:"vec3",inputs:[{name:"p",type:"vec3"},{name:"octaves",type:"int"},{name:"lacunarity",type:"float"},{name:"diminish",type:"float"}]}),jq=hn(([b,a,x,y])=>{const E=lt(y).toVar(),z=lt(x).toVar(),ee=Jt(a).toVar(),te=sn(b).toVar();return Br(Ww(te,ee,z,E),Ww(te.add(sn(Jt(19),Jt(193),Jt(17))),ee,z,E))}).setLayout({name:"mx_fractal_noise_vec2",type:"vec2",inputs:[{name:"p",type:"vec3"},{name:"octaves",type:"int"},{name:"lacunarity",type:"float"},{name:"diminish",type:"float"}]}),Vq=hn(([b,a,x,y])=>{const E=lt(y).toVar(),z=lt(x).toVar(),ee=Jt(a).toVar(),te=sn(b).toVar(),ne=sn(Qw(te,ee,z,E)).toVar(),ie=lt(Ww(te.add(sn(Jt(19),Jt(193),Jt(17))),ee,z,E)).toVar();return ns(ne,ie)}).setLayout({name:"mx_fractal_noise_vec4",type:"vec4",inputs:[{name:"p",type:"vec3"},{name:"octaves",type:"int"},{name:"lacunarity",type:"float"},{name:"diminish",type:"float"}]}),Fx=Md([hn(([b,a,x,y,E,z,ee])=>{const te=Jt(ee).toVar(),ne=lt(z).toVar(),ie=Jt(E).toVar(),ae=Jt(y).toVar(),oe=Jt(x).toVar(),le=Jt(a).toVar(),ue=Br(b).toVar(),he=sn(Xw(Br(le.add(ae),oe.add(ie)))).toVar(),xe=Br(he.x,he.y).toVar();xe.subAssign(.5),xe.mulAssign(ne),xe.addAssign(.5);const ve=Br(Br(lt(le),lt(oe)).add(xe)).toVar(),me=Br(ve.sub(ue)).toVar();return Ms(te.equal(Jt(2)),()=>_l(me.x).add(_l(me.y))),Ms(te.equal(Jt(3)),()=>du(_l(me.x),_l(me.y))),em(me,me)}).setLayout({name:"mx_worley_distance_0",type:"float",inputs:[{name:"p",type:"vec2"},{name:"x",type:"int"},{name:"y",type:"int"},{name:"xoff",type:"int"},{name:"yoff",type:"int"},{name:"jitter",type:"float"},{name:"metric",type:"int"}]}),hn(([b,a,x,y,E,z,ee,te,ne])=>{const ie=Jt(ne).toVar(),ae=lt(te).toVar(),oe=Jt(ee).toVar(),le=Jt(z).toVar(),ue=Jt(E).toVar(),he=Jt(y).toVar(),xe=Jt(x).toVar(),ve=Jt(a).toVar(),me=sn(b).toVar(),Pe=sn(Xw(sn(ve.add(ue),xe.add(le),he.add(oe)))).toVar();Pe.subAssign(.5),Pe.mulAssign(ae),Pe.addAssign(.5);const we=sn(sn(lt(ve),lt(xe),lt(he)).add(Pe)).toVar(),Me=sn(we.sub(me)).toVar();return Ms(ie.equal(Jt(2)),()=>_l(Me.x).add(_l(Me.y)).add(_l(Me.z))),Ms(ie.equal(Jt(3)),()=>du(_l(Me.x),_l(Me.y),_l(Me.z))),em(Me,Me)}).setLayout({name:"mx_worley_distance_1",type:"float",inputs:[{name:"p",type:"vec3"},{name:"x",type:"int"},{name:"y",type:"int"},{name:"z",type:"int"},{name:"xoff",type:"int"},{name:"yoff",type:"int"},{name:"zoff",type:"int"},{name:"jitter",type:"float"},{name:"metric",type:"int"}]})]),Gq=hn(([b,a,x])=>{const y=Jt(x).toVar(),E=lt(a).toVar(),z=Br(b).toVar(),ee=Jt().toVar(),te=Jt().toVar(),ne=Br(Au(z.x,ee),Au(z.y,te)).toVar(),ie=lt(1e6).toVar();return ml({start:-1,end:Jt(1),name:"x",condition:"<="},({x:ae})=>{ml({start:-1,end:Jt(1),name:"y",condition:"<="},({y:oe})=>{const le=lt(Fx(ne,ae,oe,ee,te,E,y)).toVar();ie.assign(Xf(ie,le))})}),Ms(y.equal(Jt(0)),()=>{ie.assign(jf(ie))}),ie}).setLayout({name:"mx_worley_noise_float_0",type:"float",inputs:[{name:"p",type:"vec2"},{name:"jitter",type:"float"},{name:"metric",type:"int"}]}),Xq=hn(([b,a,x])=>{const y=Jt(x).toVar(),E=lt(a).toVar(),z=Br(b).toVar(),ee=Jt().toVar(),te=Jt().toVar(),ne=Br(Au(z.x,ee),Au(z.y,te)).toVar(),ie=Br(1e6,1e6).toVar();return ml({start:-1,end:Jt(1),name:"x",condition:"<="},({x:ae})=>{ml({start:-1,end:Jt(1),name:"y",condition:"<="},({y:oe})=>{const le=lt(Fx(ne,ae,oe,ee,te,E,y)).toVar();Ms(le.lessThan(ie.x),()=>{ie.y.assign(ie.x),ie.x.assign(le)}).ElseIf(le.lessThan(ie.y),()=>{ie.y.assign(le)})})}),Ms(y.equal(Jt(0)),()=>{ie.assign(jf(ie))}),ie}).setLayout({name:"mx_worley_noise_vec2_0",type:"vec2",inputs:[{name:"p",type:"vec2"},{name:"jitter",type:"float"},{name:"metric",type:"int"}]}),Wq=hn(([b,a,x])=>{const y=Jt(x).toVar(),E=lt(a).toVar(),z=Br(b).toVar(),ee=Jt().toVar(),te=Jt().toVar(),ne=Br(Au(z.x,ee),Au(z.y,te)).toVar(),ie=sn(1e6,1e6,1e6).toVar();return ml({start:-1,end:Jt(1),name:"x",condition:"<="},({x:ae})=>{ml({start:-1,end:Jt(1),name:"y",condition:"<="},({y:oe})=>{const le=lt(Fx(ne,ae,oe,ee,te,E,y)).toVar();Ms(le.lessThan(ie.x),()=>{ie.z.assign(ie.y),ie.y.assign(ie.x),ie.x.assign(le)}).ElseIf(le.lessThan(ie.y),()=>{ie.z.assign(ie.y),ie.y.assign(le)}).ElseIf(le.lessThan(ie.z),()=>{ie.z.assign(le)})})}),Ms(y.equal(Jt(0)),()=>{ie.assign(jf(ie))}),ie}).setLayout({name:"mx_worley_noise_vec3_0",type:"vec3",inputs:[{name:"p",type:"vec2"},{name:"jitter",type:"float"},{name:"metric",type:"int"}]}),Qq=Md([Gq,hn(([b,a,x])=>{const y=Jt(x).toVar(),E=lt(a).toVar(),z=sn(b).toVar(),ee=Jt().toVar(),te=Jt().toVar(),ne=Jt().toVar(),ie=sn(Au(z.x,ee),Au(z.y,te),Au(z.z,ne)).toVar(),ae=lt(1e6).toVar();return ml({start:-1,end:Jt(1),name:"x",condition:"<="},({x:oe})=>{ml({start:-1,end:Jt(1),name:"y",condition:"<="},({y:le})=>{ml({start:-1,end:Jt(1),name:"z",condition:"<="},({z:ue})=>{const he=lt(Fx(ie,oe,le,ue,ee,te,ne,E,y)).toVar();ae.assign(Xf(ae,he))})})}),Ms(y.equal(Jt(0)),()=>{ae.assign(jf(ae))}),ae}).setLayout({name:"mx_worley_noise_float_1",type:"float",inputs:[{name:"p",type:"vec3"},{name:"jitter",type:"float"},{name:"metric",type:"int"}]})]),Zq=Md([Xq,hn(([b,a,x])=>{const y=Jt(x).toVar(),E=lt(a).toVar(),z=sn(b).toVar(),ee=Jt().toVar(),te=Jt().toVar(),ne=Jt().toVar(),ie=sn(Au(z.x,ee),Au(z.y,te),Au(z.z,ne)).toVar(),ae=Br(1e6,1e6).toVar();return ml({start:-1,end:Jt(1),name:"x",condition:"<="},({x:oe})=>{ml({start:-1,end:Jt(1),name:"y",condition:"<="},({y:le})=>{ml({start:-1,end:Jt(1),name:"z",condition:"<="},({z:ue})=>{const he=lt(Fx(ie,oe,le,ue,ee,te,ne,E,y)).toVar();Ms(he.lessThan(ae.x),()=>{ae.y.assign(ae.x),ae.x.assign(he)}).ElseIf(he.lessThan(ae.y),()=>{ae.y.assign(he)})})})}),Ms(y.equal(Jt(0)),()=>{ae.assign(jf(ae))}),ae}).setLayout({name:"mx_worley_noise_vec2_1",type:"vec2",inputs:[{name:"p",type:"vec3"},{name:"jitter",type:"float"},{name:"metric",type:"int"}]})]),e5=Md([Wq,hn(([b,a,x])=>{const y=Jt(x).toVar(),E=lt(a).toVar(),z=sn(b).toVar(),ee=Jt().toVar(),te=Jt().toVar(),ne=Jt().toVar(),ie=sn(Au(z.x,ee),Au(z.y,te),Au(z.z,ne)).toVar(),ae=sn(1e6,1e6,1e6).toVar();return ml({start:-1,end:Jt(1),name:"x",condition:"<="},({x:oe})=>{ml({start:-1,end:Jt(1),name:"y",condition:"<="},({y:le})=>{ml({start:-1,end:Jt(1),name:"z",condition:"<="},({z:ue})=>{const he=lt(Fx(ie,oe,le,ue,ee,te,ne,E,y)).toVar();Ms(he.lessThan(ae.x),()=>{ae.z.assign(ae.y),ae.y.assign(ae.x),ae.x.assign(he)}).ElseIf(he.lessThan(ae.y),()=>{ae.z.assign(ae.y),ae.y.assign(he)}).ElseIf(he.lessThan(ae.z),()=>{ae.z.assign(he)})})})}),Ms(y.equal(Jt(0)),()=>{ae.assign(jf(ae))}),ae}).setLayout({name:"mx_worley_noise_vec3_1",type:"vec3",inputs:[{name:"p",type:"vec3"},{name:"jitter",type:"float"},{name:"metric",type:"int"}]})]),Yq=hn(([b,a,x,y,E,z,ee,te,ne,ie,ae])=>{const oe=Jt(b).toVar(),le=Br(a).toVar(),ue=Br(x).toVar(),he=Br(y).toVar(),xe=lt(E).toVar(),ve=lt(z).toVar(),me=lt(ee).toVar(),Pe=tp(te).toVar(),we=Jt(ne).toVar(),Me=lt(ie).toVar(),Le=lt(ae).toVar(),De=le.mul(ue).add(he),ke=lt(0).toVar();return Ms(oe.equal(Jt(0)),()=>{ke.assign(Yb(De))}),Ms(oe.equal(Jt(1)),()=>{ke.assign(Xw(De))}),Ms(oe.equal(Jt(2)),()=>{ke.assign(e5(De,xe,Jt(0)))}),Ms(oe.equal(Jt(3)),()=>{ke.assign(Qw(sn(De,0),we,Me,Le))}),ke.assign(ke.mul(me.sub(ve)).add(ve)),Ms(Pe,()=>{ke.assign(ip(ke,ve,me))}),ke}).setLayout({name:"mx_unifiednoise2d",type:"float",inputs:[{name:"noiseType",type:"int"},{name:"texcoord",type:"vec2"},{name:"freq",type:"vec2"},{name:"offset",type:"vec2"},{name:"jitter",type:"float"},{name:"outmin",type:"float"},{name:"outmax",type:"float"},{name:"clampoutput",type:"bool"},{name:"octaves",type:"int"},{name:"lacunarity",type:"float"},{name:"diminish",type:"float"}]}),Jq=hn(([b,a,x,y,E,z,ee,te,ne,ie,ae])=>{const oe=Jt(b).toVar(),le=sn(a).toVar(),ue=sn(x).toVar(),he=sn(y).toVar(),xe=lt(E).toVar(),ve=lt(z).toVar(),me=lt(ee).toVar(),Pe=tp(te).toVar(),we=Jt(ne).toVar(),Me=lt(ie).toVar(),Le=lt(ae).toVar(),De=le.mul(ue).add(he),ke=lt(0).toVar();return Ms(oe.equal(Jt(0)),()=>{ke.assign(Yb(De))}),Ms(oe.equal(Jt(1)),()=>{ke.assign(Xw(De))}),Ms(oe.equal(Jt(2)),()=>{ke.assign(e5(De,xe,Jt(0)))}),Ms(oe.equal(Jt(3)),()=>{ke.assign(Qw(De,we,Me,Le))}),ke.assign(ke.mul(me.sub(ve)).add(ve)),Ms(Pe,()=>{ke.assign(ip(ke,ve,me))}),ke}).setLayout({name:"mx_unifiednoise3d",type:"float",inputs:[{name:"noiseType",type:"int"},{name:"position",type:"vec3"},{name:"freq",type:"vec3"},{name:"offset",type:"vec3"},{name:"jitter",type:"float"},{name:"outmin",type:"float"},{name:"outmax",type:"float"},{name:"clampoutput",type:"bool"},{name:"octaves",type:"int"},{name:"lacunarity",type:"float"},{name:"diminish",type:"float"}]}),Kq=hn(([b])=>{const a=b.y,x=b.z,y=sn().toVar();return Ms(a.lessThan(1e-4),()=>{y.assign(sn(x,x,x))}).Else(()=>{let E=b.x;E=E.sub(Vm(E)).mul(6).toVar();const z=Jt(yP(E)),ee=E.sub(lt(z)),te=x.mul(a.oneMinus()),ne=x.mul(a.mul(ee).oneMinus()),ie=x.mul(a.mul(ee.oneMinus()).oneMinus());Ms(z.equal(Jt(0)),()=>{y.assign(sn(x,ie,te))}).ElseIf(z.equal(Jt(1)),()=>{y.assign(sn(ne,x,te))}).ElseIf(z.equal(Jt(2)),()=>{y.assign(sn(te,x,ie))}).ElseIf(z.equal(Jt(3)),()=>{y.assign(sn(te,ne,x))}).ElseIf(z.equal(Jt(4)),()=>{y.assign(sn(ie,te,x))}).Else(()=>{y.assign(sn(x,te,ne))})}),y}).setLayout({name:"mx_hsvtorgb",type:"vec3",inputs:[{name:"hsv",type:"vec3"}]}),qq=hn(([b])=>{const a=sn(b).toVar(),x=lt(a.x).toVar(),y=lt(a.y).toVar(),E=lt(a.z).toVar(),z=lt(Xf(x,Xf(y,E))).toVar(),ee=lt(du(x,du(y,E))).toVar(),te=lt(ee.sub(z)).toVar(),ne=lt().toVar(),ie=lt().toVar(),ae=lt().toVar();return ae.assign(ee),Ms(ee.greaterThan(0),()=>{ie.assign(te.div(ee))}).Else(()=>{ie.assign(0)}),Ms(ie.lessThanEqual(0),()=>{ne.assign(0)}).Else(()=>{Ms(x.greaterThanEqual(ee),()=>{ne.assign(y.sub(E).div(te))}).ElseIf(y.greaterThanEqual(ee),()=>{ne.assign(Ac(2,E.sub(x).div(te)))}).Else(()=>{ne.assign(Ac(4,x.sub(y).div(te)))}),ne.mulAssign(1/6),Ms(ne.lessThan(0),()=>{ne.addAssign(1)})}),sn(ne,ie,ae)}).setLayout({name:"mx_rgbtohsv",type:"vec3",inputs:[{name:"c",type:"vec3"}]}),_q=hn(([b])=>{const a=sn(b).toVar(),x=rP(hP(a,sn(.04045))).toVar(),y=sn(a.div(12.92)).toVar(),E=sn(rp(du(a.add(sn(.055)),sn(0)).div(1.055),sn(2.4))).toVar();return Qo(y,E,x)}).setLayout({name:"mx_srgb_texture_to_lin_rec709",type:"vec3",inputs:[{name:"color",type:"vec3"}]}),i6=(b,a)=>{b=lt(b),a=lt(a);const x=Br(a.dFdx(),a.dFdy()).length().mul(.7071067811865476);return Ch(b.sub(x),b.add(x),a)},s6=(b,a,x,y)=>Qo(b,a,x[y].clamp()),$q=(b,a,x=Pl())=>s6(b,a,x,"x"),e_=(b,a,x=Pl())=>s6(b,a,x,"y"),t_=(b,a,x,y,E=Pl())=>{const z=E.x.clamp(),ee=E.y.clamp(),te=Qo(b,a,z),ne=Qo(x,y,z);return Qo(te,ne,ee)},a6=(b,a,x,y,E)=>Qo(b,a,i6(x,y[E])),n_=(b,a,x,y=Pl())=>a6(b,a,x,y,"x"),r_=(b,a,x,y=Pl())=>a6(b,a,x,y,"y"),i_=(b=1,a=0,x=Pl())=>x.mul(b).add(a),s_=(b,a=1)=>(b=lt(b),b.abs().pow(a).mul(b.sign())),a_=(b,a=1,x=.5)=>lt(b).sub(x).mul(a).add(x),o_=(b=Pl(),a=1,x=0)=>$S(b.convert("vec2|vec3")).mul(a).add(x),l_=(b=Pl(),a=1,x=0)=>Yb(b.convert("vec2|vec3")).mul(a).add(x),u_=(b=Pl(),a=1,x=0)=>(b=b.convert("vec2|vec3"),ns(Yb(b),$S(b.add(Br(19,73)))).mul(a).add(x)),c_=(b,a=Pl(),x=Br(1,1),y=Br(0,0),E=1,z=0,ee=1,te=!1,ne=1,ie=2,ae=.5)=>Yq(b,a.convert("vec2|vec3"),x,y,E,z,ee,te,ne,ie,ae),d_=(b,a=Pl(),x=Br(1,1),y=Br(0,0),E=1,z=0,ee=1,te=!1,ne=1,ie=2,ae=.5)=>Jq(b,a.convert("vec2|vec3"),x,y,E,z,ee,te,ne,ie,ae),f_=(b=Pl(),a=1)=>Qq(b.convert("vec2|vec3"),a,Jt(1)),h_=(b=Pl(),a=1)=>Zq(b.convert("vec2|vec3"),a,Jt(1)),p_=(b=Pl(),a=1)=>e5(b.convert("vec2|vec3"),a,Jt(1)),m_=(b=Pl())=>Uq(b.convert("vec2|vec3")),g_=(b=Pl(),a=3,x=2,y=.5,E=1)=>Ww(b,Jt(a),x,y).mul(E),v_=(b=Pl(),a=3,x=2,y=.5,E=1)=>jq(b,Jt(a),x,y).mul(E),A_=(b=Pl(),a=3,x=2,y=.5,E=1)=>Qw(b,Jt(a),x,y).mul(E),x_=(b=Pl(),a=3,x=2,y=.5,E=1)=>Vq(b,Jt(a),x,y).mul(E),y_=(b,a=lt(0))=>Ac(b,a),b_=(b,a=lt(0))=>Io(b,a),E_=(b,a=lt(1))=>Ia(b,a),w_=(b,a=lt(1))=>wh(b,a),C_=(b,a=lt(1))=>Hy(b,a),P_=(b,a=lt(1))=>rp(b,a),S_=(b=lt(0),a=lt(1))=>ew(b,a),B_=()=>Bx,M_=()=>l7,T_=(b,a=lt(1))=>Io(a,b),D_=(b,a,x,y)=>b.greaterThan(a).mix(x,y),I_=(b,a,x,y)=>b.greaterThanEqual(a).mix(x,y),N_=(b,a,x,y)=>b.equal(a).mix(x,y),F_=(b,a=null)=>{if(typeof 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`}}class f6{constructor(){this.time=0,this.deltaTime=0,this.frameId=0,this.renderId=0,this.updateMap=new WeakMap,this.updateBeforeMap=new WeakMap,this.updateAfterMap=new WeakMap,this.renderer=null,this.material=null,this.camera=null,this.object=null,this.scene=null}_getMaps(a,x){let y=a.get(x);return y===void 0&&(y={renderId:0,frameId:0},a.set(x,y)),y}updateBeforeNode(a){const x=a.getUpdateBeforeType(),y=a.updateReference(this);if(x===Ua.FRAME){const E=this._getMaps(this.updateBeforeMap,y);E.frameId!==this.frameId&&a.updateBefore(this)!==!1&&(E.frameId=this.frameId)}else if(x===Ua.RENDER){const E=this._getMaps(this.updateBeforeMap,y);E.renderId!==this.renderId&&a.updateBefore(this)!==!1&&(E.renderId=this.renderId)}else x===Ua.OBJECT&&a.updateBefore(this)}updateAfterNode(a){const x=a.getUpdateAfterType(),y=a.updateReference(this);if(x===Ua.FRAME){const E=this._getMaps(this.updateAfterMap,y);E.frameId!==this.frameId&&a.updateAfter(this)!==!1&&(E.frameId=this.frameId)}else if(x===Ua.RENDER){const E=this._getMaps(this.updateAfterMap,y);E.renderId!==this.renderId&&a.updateAfter(this)!==!1&&(E.renderId=this.renderId)}else x===Ua.OBJECT&&a.updateAfter(this)}updateNode(a){const x=a.getUpdateType(),y=a.updateReference(this);if(x===Ua.FRAME){const E=this._getMaps(this.updateMap,y);E.frameId!==this.frameId&&a.update(this)!==!1&&(E.frameId=this.frameId)}else if(x===Ua.RENDER){const E=this._getMaps(this.updateMap,y);E.renderId!==this.renderId&&a.update(this)!==!1&&(E.renderId=this.renderId)}else x===Ua.OBJECT&&a.update(this)}update(){this.frameId++,this.lastTime===void 0&&(this.lastTime=performance.now()),this.deltaTime=(performance.now()-this.lastTime)/1e3,this.lastTime=performance.now(),this.time+=this.deltaTime}}class r5{constructor(a,x,y=null,E="",z=!1){this.type=a,this.name=x,this.count=y,this.qualifier=E,this.isConst=z}}r5.isNodeFunctionInput=!0;class d$ extends rA{static get type(){return"DirectionalLightNode"}constructor(a=null){super(a)}setupDirect(){const a=this.colorNode;return{lightDirection:WS(this.light),lightColor:a}}}const i5=new Fs,Yw=new Fs;let Jb=null;class f$ extends rA{static get type(){return"RectAreaLightNode"}constructor(a=null){super(a),this.halfHeight=Ds(new ft).setGroup(Hs),this.halfWidth=Ds(new ft).setGroup(Hs),this.updateType=Ua.RENDER}update(a){super.update(a);const{light:x}=this,y=a.camera.matrixWorldInverse;Yw.identity(),i5.copy(x.matrixWorld),i5.premultiply(y),Yw.extractRotation(i5),this.halfWidth.value.set(x.width*.5,0,0),this.halfHeight.value.set(0,x.height*.5,0),this.halfWidth.value.applyMatrix4(Yw),this.halfHeight.value.applyMatrix4(Yw)}setupDirectRectArea(a){let x,y;a.isAvailable("float32Filterable")?(x=go(Jb.LTC_FLOAT_1),y=go(Jb.LTC_FLOAT_2)):(x=go(Jb.LTC_HALF_1),y=go(Jb.LTC_HALF_2));const{colorNode:E,light:z}=this,ee=XS(z);return{lightColor:E,lightPosition:ee,halfWidth:this.halfWidth,halfHeight:this.halfHeight,ltc_1:x,ltc_2:y}}static setLTC(a){Jb=a}}class s5 extends rA{static get type(){return"SpotLightNode"}constructor(a=null){super(a),this.coneCosNode=Ds(0).setGroup(Hs),this.penumbraCosNode=Ds(0).setGroup(Hs),this.cutoffDistanceNode=Ds(0).setGroup(Hs),this.decayExponentNode=Ds(0).setGroup(Hs),this.colorNode=Ds(this.color).setGroup(Hs)}update(a){super.update(a);const{light:x}=this;this.coneCosNode.value=Math.cos(x.angle),this.penumbraCosNode.value=Math.cos(x.angle*(1-x.penumbra)),this.cutoffDistanceNode.value=x.distance,this.decayExponentNode.value=x.decay}getSpotAttenuation(a,x){const{coneCosNode:y,penumbraCosNode:E}=this;return Ch(y,E,x)}getLightCoord(a){const x=a.getNodeProperties(this);let y=x.projectionUV;return y===void 0&&(y=D7(this.light,a.context.positionWorld),x.projectionUV=y),y}setupDirect(a){const{colorNode:x,cutoffDistanceNode:y,decayExponentNode:E,light:z}=this,ee=this.getLightVector(a),te=ee.normalize(),ne=te.dot(WS(z)),ie=this.getSpotAttenuation(a,ne),ae=ee.length(),oe=_S({lightDistance:ae,cutoffDistance:y,decayExponent:E});let le=x.mul(ie).mul(oe),ue,he;return z.colorNode?(he=this.getLightCoord(a),ue=z.colorNode(he)):z.map&&(he=this.getLightCoord(a),ue=go(z.map,he.xy).onRenderUpdate(()=>z.map)),ue&&(le=he.mul(2).sub(1).abs().lessThan(1).all().select(le.mul(ue),le)),{lightColor:le,lightDirection:te}}}class h$ extends s5{static get type(){return"IESSpotLightNode"}getSpotAttenuation(a,x){const y=this.light.iesMap;let E=null;if(y&&y.isTexture===!0){const z=x.acos().mul(1/Math.PI);E=go(y,Br(z,0),0).r}else E=super.getSpotAttenuation(x);return E}}const p$=hn(([b,a])=>{const x=b.abs().sub(a);return Xm(du(x,0)).add(Xf(du(x.x,x.y),0))});class m$ extends s5{static get type(){return"ProjectorLightNode"}update(a){super.update(a);const x=this.light;if(this.penumbraCosNode.value=Math.min(Math.cos(x.angle*(1-x.penumbra)),.99999),x.aspect===null){let y=1;x.map!==null&&(y=x.map.width/x.map.height),x.shadow.aspect=y}else x.shadow.aspect=x.aspect}getSpotAttenuation(a){const x=lt(0),y=this.penumbraCosNode,E=jw(this.light).mul(a.context.positionWorld||Sh);return Ms(E.w.greaterThan(0),()=>{const z=E.xyz.div(E.w),ee=p$(z.xy.sub(Br(.5)),Br(.5)),te=wh(-1,Io(1,vP(y)).sub(1));x.assign(PP(ee.mul(-2).mul(te)))}),x}}class g$ extends rA{static get type(){return"AmbientLightNode"}constructor(a=null){super(a)}setup({context:a}){a.irradiance.addAssign(this.colorNode)}}class v$ extends rA{static get type(){return"HemisphereLightNode"}constructor(a=null){super(a),this.lightPositionNode=GS(a),this.lightDirectionNode=this.lightPositionNode.normalize(),this.groundColorNode=Ds(new Ki).setGroup(Hs)}update(a){const{light:x}=this;super.update(a),this.lightPositionNode.object3d=x,this.groundColorNode.value.copy(x.groundColor).multiplyScalar(x.intensity)}setup(a){const{colorNode:x,groundColorNode:y,lightDirectionNode:E}=this,ee=G0.dot(E).mul(.5).add(.5),te=Qo(y,x,ee);a.context.irradiance.addAssign(te)}}class A$ extends rA{static get type(){return"LightProbeNode"}constructor(a=null){super(a);const x=[];for(let y=0;y<9;y++)x.push(new ft);this.lightProbe=$d(x)}update(a){const{light:x}=this;super.update(a);for(let y=0;y<9;y++)this.lightProbe.array[y].copy(x.sh.coefficients[y]).multiplyScalar(x.intensity)}setup(a){const x=o6(G0,this.lightProbe);a.context.irradiance.addAssign(x)}}class h6{parseFunction(){wn("Abstract function.")}}class a5{constructor(a,x,y="",E=""){this.type=a,this.inputs=x,this.name=y,this.precision=E}getCode(){wn("Abstract function.")}}a5.isNodeFunction=!0;const x$=/^\s*(highp|mediump|lowp)?\s*([a-z_0-9]+)\s*([a-z_0-9]+)?\s*\(([\s\S]*?)\)/i,y$=/[a-z_0-9]+/ig,p6="#pragma main",b$=b=>{b=b.trim();const a=b.indexOf(p6),x=a!==-1?b.slice(a+p6.length):b,y=x.match(x$);if(y!==null&&y.length===5){const E=y[4],z=[];let ee=null;for(;(ee=y$.exec(E))!==null;)z.push(ee);const te=[];let ne=0;for(;ne<z.length;){const he=z[ne][0]==="const";he===!0&&ne++;let xe=z[ne][0];xe==="in"||xe==="out"||xe==="inout"?ne++:xe="";const ve=z[ne++][0];let me=Number.parseInt(z[ne][0]);Number.isNaN(me)===!1?ne++:me=null;const Pe=z[ne++][0];te.push(new r5(ve,Pe,me,xe,he))}const ie=x.substring(y[0].length),ae=y[3]!==void 0?y[3]:"",oe=y[2],le=y[1]!==void 0?y[1]:"",ue=a!==-1?b.slice(0,a):"";return{type:oe,inputs:te,name:ae,precision:le,inputsCode:E,blockCode:ie,headerCode:ue}}else throw new Error("FunctionNode: Function is not a GLSL code.")};class E$ extends a5{constructor(a){const{type:x,inputs:y,name:E,precision:z,inputsCode:ee,blockCode:te,headerCode:ne}=b$(a);super(x,y,E,z),this.inputsCode=ee,this.blockCode=te,this.headerCode=ne}getCode(a=this.name){let x;const y=this.blockCode;if(y!==""){const{type:E,inputsCode:z,headerCode:ee,precision:te}=this;let ne=`${E} ${a} ( ${z.trim()} )`;te!==""&&(ne=`${te} ${ne}`),x=ee+ne+y}else x="";return x}}class w$ extends h6{parseFunction(a){return new E$(a)}}const m6=new WeakMap,qm=[],K0=[];class C$ extends Z0{constructor(a,x){super(),this.renderer=a,this.backend=x,this.nodeFrame=new f6,this.nodeBuilderCache=new Map,this.callHashCache=new tm,this.groupsData=new tm,this.cacheLib={}}updateGroup(a){const x=a.groupNode,y=x.name;if(y===dP.name)return!0;if(y===Hs.name){const z=this.get(a),ee=this.nodeFrame.renderId;return z.renderId!==ee?(z.renderId=ee,!0):!1}if(y===pD.name){const z=this.get(a),ee=this.nodeFrame.frameId;return z.frameId!==ee?(z.frameId=ee,!0):!1}qm[0]=x,qm[1]=a;let E=this.groupsData.get(qm);return E===void 0&&this.groupsData.set(qm,E={}),qm.length=0,E.version!==x.version?(E.version=x.version,!0):!1}getForRenderCacheKey(a){return a.initialCacheKey}getForRender(a){const x=this.get(a);let y=x.nodeBuilderState;if(y===void 0){const{nodeBuilderCache:E}=this,z=this.getForRenderCacheKey(a);if(y=E.get(z),y===void 0){const ee=ne=>{const ie=this.backend.createNodeBuilder(a.object,this.renderer);return ie.scene=a.scene,ie.material=ne,ie.camera=a.camera,ie.context.material=ne,ie.lightsNode=a.lightsNode,ie.environmentNode=this.getEnvironmentNode(a.scene),ie.fogNode=this.getFogNode(a.scene),ie.clippingContext=a.clippingContext,this.renderer.getOutputRenderTarget()&&this.renderer.getOutputRenderTarget().multiview&&ie.enableMultiview(),ie};let te=ee(a.material);try{te.build()}catch(ne){te=ee(new Bu),te.build(),cr("TSL: "+ne)}y=this._createNodeBuilderState(te),E.set(z,y)}y.usedTimes++,x.nodeBuilderState=y}return y}delete(a){if(a.isRenderObject){const x=this.get(a).nodeBuilderState;x.usedTimes--,x.usedTimes===0&&this.nodeBuilderCache.delete(this.getForRenderCacheKey(a))}return super.delete(a)}getForCompute(a){const x=this.get(a);let y=x.nodeBuilderState;if(y===void 0){const E=this.backend.createNodeBuilder(a,this.renderer);E.build(),y=this._createNodeBuilderState(E),x.nodeBuilderState=y}return y}_createNodeBuilderState(a){return new j_(a.vertexShader,a.fragmentShader,a.computeShader,a.getAttributesArray(),a.getBindings(),a.updateNodes,a.updateBeforeNodes,a.updateAfterNodes,a.observer,a.transforms)}getEnvironmentNode(a){this.updateEnvironment(a);let x=null;if(a.environmentNode&&a.environmentNode.isNode)x=a.environmentNode;else{const y=this.get(a);y.environmentNode&&(x=y.environmentNode)}return x}getBackgroundNode(a){this.updateBackground(a);let x=null;if(a.backgroundNode&&a.backgroundNode.isNode)x=a.backgroundNode;else{const y=this.get(a);y.backgroundNode&&(x=y.backgroundNode)}return x}getFogNode(a){return this.updateFog(a),a.fogNode||this.get(a).fogNode||null}getCacheKey(a,x){qm[0]=a,qm[1]=x;const y=this.renderer.info.calls,E=this.callHashCache.get(qm)||{};if(E.callId!==y){const z=this.getEnvironmentNode(a),ee=this.getFogNode(a);x&&K0.push(x.getCacheKey(!0)),z&&K0.push(z.getCacheKey()),ee&&K0.push(ee.getCacheKey()),K0.push(this.renderer.getOutputRenderTarget()&&this.renderer.getOutputRenderTarget().multiview?1:0),K0.push(this.renderer.shadowMap.enabled?1:0),K0.push(this.renderer.shadowMap.type),E.callId=y,E.cacheKey=kv(K0),this.callHashCache.set(qm,E),K0.length=0}return qm.length=0,E.cacheKey}get isToneMappingState(){return!this.renderer.getRenderTarget()}updateBackground(a){const x=this.get(a),y=a.background;if(y){const E=a.backgroundBlurriness===0&&x.backgroundBlurriness>0||a.backgroundBlurriness>0&&x.backgroundBlurriness===0;if(x.background!==y||E){const z=this.getCacheNode("background",y,()=>{if(y.isCubeTexture===!0||y.mapping===ol||y.mapping===Vd||y.mapping===Gd){if(a.backgroundBlurriness>0||y.mapping===Gd)return DS(y);{let ee;return y.isCubeTexture===!0?ee=xx(y):ee=go(y),cI(ee)}}else{if(y.isTexture===!0)return go(y,qg.flipY()).setUpdateMatrix(!0);y.isColor!==!0&&cr("WebGPUNodes: Unsupported background configuration.",y)}},E);x.backgroundNode=z,x.background=y,x.backgroundBlurriness=a.backgroundBlurriness}}else x.backgroundNode&&(delete x.backgroundNode,delete x.background)}getCacheNode(a,x,y,E=!1){const z=this.cacheLib[a]||(this.cacheLib[a]=new WeakMap);let ee=z.get(x);return(ee===void 0||E)&&(ee=y(),z.set(x,ee)),ee}updateFog(a){const x=this.get(a),y=a.fog;if(y){if(x.fog!==y){const E=this.getCacheNode("fog",y,()=>{if(y.isFogExp2){const z=jl("color","color",y).setGroup(Hs),ee=jl("density","float",y).setGroup(Hs);return Ub(z,jS(ee))}else if(y.isFog){const z=jl("color","color",y).setGroup(Hs),ee=jl("near","float",y).setGroup(Hs),te=jl("far","float",y).setGroup(Hs);return Ub(z,US(ee,te))}else cr("Renderer: Unsupported fog configuration.",y)});x.fogNode=E,x.fog=y}}else delete x.fogNode,delete x.fog}updateEnvironment(a){const x=this.get(a),y=a.environment;if(y){if(x.environment!==y){const E=this.getCacheNode("environment",y,()=>{if(y.isCubeTexture===!0)return xx(y);if(y.isTexture===!0)return go(y);cr("Nodes: Unsupported environment configuration.",y)});x.environmentNode=E,x.environment=y}}else x.environmentNode&&(delete x.environmentNode,delete x.environment)}getNodeFrame(a=this.renderer,x=null,y=null,E=null,z=null){const ee=this.nodeFrame;return ee.renderer=a,ee.scene=x,ee.object=y,ee.camera=E,ee.material=z,ee}getNodeFrameForRender(a){return this.getNodeFrame(a.renderer,a.scene,a.object,a.camera,a.material)}getOutputCacheKey(){const a=this.renderer;return a.toneMapping+","+a.currentColorSpace+","+a.xr.isPresenting}hasOutputChange(a){return m6.get(a)!==this.getOutputCacheKey()}getOutputNode(a){const x=this.renderer,y=this.getOutputCacheKey(),E=a.isArrayTexture?p7(a,sn(qg,Kg("gl_ViewID_OVR"))).renderOutput(x.toneMapping,x.currentColorSpace):go(a,qg).renderOutput(x.toneMapping,x.currentColorSpace);return m6.set(a,y),E}updateBefore(a){const x=a.getNodeBuilderState();for(const y of x.updateBeforeNodes)this.getNodeFrameForRender(a).updateBeforeNode(y)}updateAfter(a){const x=a.getNodeBuilderState();for(const y of x.updateAfterNodes)this.getNodeFrameForRender(a).updateAfterNode(y)}updateForCompute(a){const x=this.getNodeFrame(),y=this.getForCompute(a);for(const E of y.updateNodes)x.updateNode(E)}updateForRender(a){const x=this.getNodeFrameForRender(a),y=a.getNodeBuilderState();for(const E of y.updateNodes)x.updateNode(E)}needsRefresh(a){const x=this.getNodeFrameForRender(a);return a.getMonitor().needsRefresh(a,x)}dispose(){super.dispose(),this.nodeFrame=new f6,this.nodeBuilderCache=new Map,this.cacheLib={}}}const o5=new Wp;class Jw{constructor(a=null){this.version=0,this.clipIntersection=null,this.cacheKey="",this.shadowPass=!1,this.viewNormalMatrix=new ro,this.clippingGroupContexts=new WeakMap,this.intersectionPlanes=[],this.unionPlanes=[],this.parentVersion=null,a!==null&&(this.viewNormalMatrix=a.viewNormalMatrix,this.clippingGroupContexts=a.clippingGroupContexts,this.shadowPass=a.shadowPass,this.viewMatrix=a.viewMatrix)}projectPlanes(a,x,y){const E=a.length;for(let z=0;z<E;z++){o5.copy(a[z]).applyMatrix4(this.viewMatrix,this.viewNormalMatrix);const ee=x[y+z],te=o5.normal;ee.x=-te.x,ee.y=-te.y,ee.z=-te.z,ee.w=o5.constant}}updateGlobal(a,x){this.shadowPass=a.overrideMaterial!==null&&a.overrideMaterial.isShadowPassMaterial,this.viewMatrix=x.matrixWorldInverse,this.viewNormalMatrix.getNormalMatrix(this.viewMatrix)}update(a,x){let y=!1;a.version!==this.parentVersion&&(this.intersectionPlanes=Array.from(a.intersectionPlanes),this.unionPlanes=Array.from(a.unionPlanes),this.parentVersion=a.version),this.clipIntersection!==x.clipIntersection&&(this.clipIntersection=x.clipIntersection,this.clipIntersection?this.unionPlanes.length=a.unionPlanes.length:this.intersectionPlanes.length=a.intersectionPlanes.length);const E=x.clippingPlanes,z=E.length;let ee,te;if(this.clipIntersection?(ee=this.intersectionPlanes,te=a.intersectionPlanes.length):(ee=this.unionPlanes,te=a.unionPlanes.length),ee.length!==te+z){ee.length=te+z;for(let ne=0;ne<z;ne++)ee[te+ne]=new la;y=!0}this.projectPlanes(E,ee,te),y&&(this.version++,this.cacheKey=`${this.intersectionPlanes.length}:${this.unionPlanes.length}`)}getGroupContext(a){if(this.shadowPass&&!a.clipShadows)return this;let x=this.clippingGroupContexts.get(a);return x===void 0&&(x=new Jw(this),this.clippingGroupContexts.set(a,x)),x.update(this,a),x}get unionClippingCount(){return this.unionPlanes.length}}class P${constructor(a,x){this.bundleGroup=a,this.camera=x}}const Kb=[];class S${constructor(){this.bundles=new tm}get(a,x){const y=this.bundles;Kb[0]=a,Kb[1]=x;let E=y.get(Kb);return E===void 0&&(E=new P$(a,x),y.set(Kb,E)),Kb.length=0,E}dispose(){this.bundles=new tm}}class g6{constructor(){this.lightNodes=new WeakMap,this.materialNodes=new Map,this.toneMappingNodes=new Map}fromMaterial(a){if(a.isNodeMaterial)return a;let x=null;const y=this.getMaterialNodeClass(a.type);if(y!==null){x=new y;for(const E in a)x[E]=a[E]}return x}addToneMapping(a,x){this.addType(a,x,this.toneMappingNodes)}getToneMappingFunction(a){return this.toneMappingNodes.get(a)||null}getMaterialNodeClass(a){return this.materialNodes.get(a)||null}addMaterial(a,x){this.addType(a,x,this.materialNodes)}getLightNodeClass(a){return this.lightNodes.get(a)||null}addLight(a,x){this.addClass(a,x,this.lightNodes)}addType(a,x,y){if(y.has(x)){wn(`Redefinition of node ${x}`);return}if(typeof a!="function")throw new Error(`Node class ${a.name} is not a class.`);if(typeof x=="function"||typeof x=="object")throw new Error(`Base class ${x} is not a class.`);y.set(x,a)}addClass(a,x,y){if(y.has(x)){wn(`Redefinition of node ${x.name}`);return}if(typeof a!="function")throw new Error(`Node class ${a.name} is not a class.`);if(typeof x!="function")throw new Error(`Base class ${x.name} is not a class.`);y.set(x,a)}}const B$=new ZS,_b=[];class M$ extends tm{constructor(){super()}createNode(a=[]){return new ZS().setLights(a)}getNode(a,x){if(a.isQuadMesh)return B$;_b[0]=a,_b[1]=x;let y=this.get(_b);return y===void 0&&(y=this.createNode(),this.set(_b,y)),_b.length=0,y}}class $b extends Fg{constructor(a=1,x=1,y={}){super(a,x,y),this.isXRRenderTarget=!0,this._hasExternalTextures=!1,this._autoAllocateDepthBuffer=!0,this._isOpaqueFramebuffer=!1}copy(a){return super.copy(a),this._hasExternalTextures=a._hasExternalTextures,this._autoAllocateDepthBuffer=a._autoAllocateDepthBuffer,this._isOpaqueFramebuffer=a._isOpaqueFramebuffer,this}}const v6=new ft,A6=new ft;class T$ extends Qu{constructor(a,x=!1){super(),this.enabled=!1,this.isPresenting=!1,this.cameraAutoUpdate=!0,this._renderer=a,this._cameraL=new gc,this._cameraL.viewport=new la,this._cameraR=new gc,this._cameraR.viewport=new la,this._cameras=[this._cameraL,this._cameraR],this._cameraXR=new q8,this._currentDepthNear=null,this._currentDepthFar=null,this._controllers=[],this._controllerInputSources=[],this._xrRenderTarget=null,this._layers=[],this._sessionUsesLayers=!1,this._supportsGlBinding=typeof XRWebGLBinding!="undefined",this._frameBufferTargets=null,this._createXRLayer=R$.bind(this),this._gl=null,this._currentAnimationContext=null,this._currentAnimationLoop=null,this._currentPixelRatio=null,this._currentSize=new ar,this._onSessionEvent=N$.bind(this),this._onSessionEnd=F$.bind(this),this._onInputSourcesChange=L$.bind(this),this._onAnimationFrame=O$.bind(this),this._referenceSpace=null,this._referenceSpaceType="local-floor",this._customReferenceSpace=null,this._framebufferScaleFactor=1,this._foveation=1,this._session=null,this._glBaseLayer=null,this._glBinding=null,this._glProjLayer=null,this._xrFrame=null,this._supportsLayers=this._supportsGlBinding&&"createProjectionLayer"in XRWebGLBinding.prototype,this._useMultiviewIfPossible=x,this._useMultiview=!1}getController(a){return this._getController(a).getTargetRaySpace()}getControllerGrip(a){return this._getController(a).getGripSpace()}getHand(a){return this._getController(a).getHandSpace()}getFoveation(){if(!(this._glProjLayer===null&&this._glBaseLayer===null))return this._foveation}setFoveation(a){this._foveation=a,this._glProjLayer!==null&&(this._glProjLayer.fixedFoveation=a),this._glBaseLayer!==null&&this._glBaseLayer.fixedFoveation!==void 0&&(this._glBaseLayer.fixedFoveation=a)}getFramebufferScaleFactor(){return this._framebufferScaleFactor}setFramebufferScaleFactor(a){this._framebufferScaleFactor=a,this.isPresenting===!0&&wn("XRManager: Cannot change framebuffer scale while presenting.")}getReferenceSpaceType(){return this._referenceSpaceType}setReferenceSpaceType(a){this._referenceSpaceType=a,this.isPresenting===!0&&wn("XRManager: Cannot change reference space type while presenting.")}getReferenceSpace(){return this._customReferenceSpace||this._referenceSpace}setReferenceSpace(a){this._customReferenceSpace=a}getCamera(){return this._cameraXR}getEnvironmentBlendMode(){if(this._session!==null)return this._session.environmentBlendMode}getBinding(){return this._glBinding===null&&this._supportsGlBinding&&(this._glBinding=new XRWebGLBinding(this._session,this._gl)),this._glBinding}getFrame(){return this._xrFrame}useMultiview(){return this._useMultiview}createQuadLayer(a,x,y,E,z,ee,te,ne={}){const ie=new YA(a,x),ae=new $b(z,ee,{format:El,type:yl,depthTexture:new yh(z,ee,ne.stencil?id:fl,void 0,void 0,void 0,void 0,void 0,void 0,ne.stencil?jc:Ed),stencilBuffer:ne.stencil,resolveDepthBuffer:!1,resolveStencilBuffer:!1});ae._autoAllocateDepthBuffer=!0;const oe=new od({color:16777215,side:Ol});oe.map=ae.texture,oe.map.offset.y=1,oe.map.repeat.y=-1;const le=new Il(ie,oe);le.position.copy(y),le.quaternion.copy(E);const ue={type:"quad",width:a,height:x,translation:y,quaternion:E,pixelwidth:z,pixelheight:ee,plane:le,material:oe,rendercall:te,renderTarget:ae};if(this._layers.push(ue),this._session!==null){ue.plane.material=new od({color:16777215,side:Ol}),ue.plane.material.blending=hf,ue.plane.material.blendEquation=uu,ue.plane.material.blendSrc=Sc,ue.plane.material.blendDst=Sc,ue.xrlayer=this._createXRLayer(ue);const he=this._session.renderState.layers;he.unshift(ue.xrlayer),this._session.updateRenderState({layers:he})}else ae.isXRRenderTarget=!1;return le}createCylinderLayer(a,x,y,E,z,ee,te,ne,ie={}){const ae=new WA(a,a,a*x/y,64,64,!0,Math.PI-x/2,x),oe=new $b(ee,te,{format:El,type:yl,depthTexture:new yh(ee,te,ie.stencil?id:fl,void 0,void 0,void 0,void 0,void 0,void 0,ie.stencil?jc:Ed),stencilBuffer:ie.stencil,resolveDepthBuffer:!1,resolveStencilBuffer:!1});oe._autoAllocateDepthBuffer=!0;const le=new od({color:16777215,side:co});le.map=oe.texture,le.map.offset.y=1,le.map.repeat.y=-1;const ue=new Il(ae,le);ue.position.copy(E),ue.quaternion.copy(z);const he={type:"cylinder",radius:a,centralAngle:x,aspectratio:y,translation:E,quaternion:z,pixelwidth:ee,pixelheight:te,plane:ue,material:le,rendercall:ne,renderTarget:oe};if(this._layers.push(he),this._session!==null){he.plane.material=new od({color:16777215,side:co}),he.plane.material.blending=hf,he.plane.material.blendEquation=uu,he.plane.material.blendSrc=Sc,he.plane.material.blendDst=Sc,he.xrlayer=this._createXRLayer(he);const xe=this._session.renderState.layers;xe.unshift(he.xrlayer),this._session.updateRenderState({layers:xe})}else oe.isXRRenderTarget=!1;return ue}renderLayers(){const a=new ft,x=new pc,y=this._renderer,E=this.isPresenting,z=y.getOutputRenderTarget(),ee=y._frameBufferTarget;this.isPresenting=!1;const te=new ar;y.getSize(te);const ne=y._quad;for(const ie of this._layers)if(ie.renderTarget.isXRRenderTarget=this._session!==null,ie.renderTarget._hasExternalTextures=ie.renderTarget.isXRRenderTarget,ie.renderTarget.isXRRenderTarget&&this._sessionUsesLayers){ie.xrlayer.transform=new XRRigidTransform(ie.plane.getWorldPosition(a),ie.plane.getWorldQuaternion(x));const ae=this._glBinding.getSubImage(ie.xrlayer,this._xrFrame);y.backend.setXRRenderTargetTextures(ie.renderTarget,ae.colorTexture,void 0),y._setXRLayerSize(ie.renderTarget.width,ie.renderTarget.height),y.setOutputRenderTarget(ie.renderTarget),y.setRenderTarget(null),y._frameBufferTarget=null,this._frameBufferTargets||(this._frameBufferTargets=new WeakMap);const{frameBufferTarget:oe,quad:le}=this._frameBufferTargets.get(ie.renderTarget)||{frameBufferTarget:null,quad:null};oe?(y._frameBufferTarget=oe,y._quad=le):(y._quad=new Ob(new Bu),this._frameBufferTargets.set(ie.renderTarget,{frameBufferTarget:y._getFrameBufferTarget(),quad:y._quad})),ie.rendercall(),y._frameBufferTarget=null}else y.setRenderTarget(ie.renderTarget),ie.rendercall();y.setRenderTarget(null),y.setOutputRenderTarget(z),y._frameBufferTarget=ee,y._setXRLayerSize(te.x,te.y),y._quad=ne,this.isPresenting=E}getSession(){return this._session}setSession(a){return ca(this,null,function*(){const x=this._renderer,y=x.backend;this._gl=x.getContext();const E=this._gl,z=E.getContextAttributes();if(this._session=a,a!==null){if(y.isWebGPUBackend===!0)throw new Error('THREE.XRManager: XR is currently not supported with a WebGPU backend. Use WebGL by passing "{ forceWebGL: true }" to the constructor of the renderer.');if(a.addEventListener("select",this._onSessionEvent),a.addEventListener("selectstart",this._onSessionEvent),a.addEventListener("selectend",this._onSessionEvent),a.addEventListener("squeeze",this._onSessionEvent),a.addEventListener("squeezestart",this._onSessionEvent),a.addEventListener("squeezeend",this._onSessionEvent),a.addEventListener("end",this._onSessionEnd),a.addEventListener("inputsourceschange",this._onInputSourcesChange),yield y.makeXRCompatible(),this._currentPixelRatio=x.getPixelRatio(),x.getSize(this._currentSize),this._currentAnimationContext=x._animation.getContext(),this._currentAnimationLoop=x._animation.getAnimationLoop(),x._animation.stop(),this._supportsLayers===!0){let ee=null,te=null,ne=null;x.depth&&(ne=x.stencil?E.DEPTH24_STENCIL8:E.DEPTH_COMPONENT24,ee=x.stencil?jc:Ed,te=x.stencil?id:fl);const ie={colorFormat:E.RGBA8,depthFormat:ne,scaleFactor:this._framebufferScaleFactor,clearOnAccess:!1};this._useMultiviewIfPossible&&x.hasFeature("OVR_multiview2")&&(ie.textureType="texture-array",this._useMultiview=!0),this._glBinding=this.getBinding();const ae=this._glBinding.createProjectionLayer(ie),oe=[ae];this._glProjLayer=ae,x.setPixelRatio(1),x._setXRLayerSize(ae.textureWidth,ae.textureHeight);const le=this._useMultiview?2:1,ue=new yh(ae.textureWidth,ae.textureHeight,te,void 0,void 0,void 0,void 0,void 0,void 0,ee,le);if(this._xrRenderTarget=new $b(ae.textureWidth,ae.textureHeight,{format:El,type:yl,colorSpace:x.outputColorSpace,depthTexture:ue,stencilBuffer:x.stencil,samples:z.antialias?4:0,resolveDepthBuffer:ae.ignoreDepthValues===!1,resolveStencilBuffer:ae.ignoreDepthValues===!1,depth:this._useMultiview?2:1,multiview:this._useMultiview}),this._xrRenderTarget._hasExternalTextures=!0,this._xrRenderTarget.depth=this._useMultiview?2:1,this._sessionUsesLayers=a.enabledFeatures.includes("layers"),this._referenceSpace=yield a.requestReferenceSpace(this.getReferenceSpaceType()),this._sessionUsesLayers)for(const he of this._layers)he.plane.material=new od({color:16777215,side:he.type==="cylinder"?co:Ol}),he.plane.material.blending=hf,he.plane.material.blendEquation=uu,he.plane.material.blendSrc=Sc,he.plane.material.blendDst=Sc,he.xrlayer=this._createXRLayer(he),oe.unshift(he.xrlayer);a.updateRenderState({layers:oe})}else{const ee={antialias:x.currentSamples>0,alpha:!0,depth:x.depth,stencil:x.stencil,framebufferScaleFactor:this.getFramebufferScaleFactor()},te=new XRWebGLLayer(a,E,ee);this._glBaseLayer=te,a.updateRenderState({baseLayer:te}),x.setPixelRatio(1),x._setXRLayerSize(te.framebufferWidth,te.framebufferHeight),this._xrRenderTarget=new $b(te.framebufferWidth,te.framebufferHeight,{format:El,type:yl,colorSpace:x.outputColorSpace,stencilBuffer:x.stencil,resolveDepthBuffer:te.ignoreDepthValues===!1,resolveStencilBuffer:te.ignoreDepthValues===!1}),this._xrRenderTarget._isOpaqueFramebuffer=!0,this._referenceSpace=yield a.requestReferenceSpace(this.getReferenceSpaceType())}this.setFoveation(this.getFoveation()),x._animation.setAnimationLoop(this._onAnimationFrame),x._animation.setContext(a),x._animation.start(),this.isPresenting=!0,this.dispatchEvent({type:"sessionstart"})}})}updateCamera(a){const x=this._session;if(x===null)return;const y=a.near,E=a.far,z=this._cameraXR,ee=this._cameraL,te=this._cameraR;z.near=te.near=ee.near=y,z.far=te.far=ee.far=E,z.isMultiViewCamera=this._useMultiview,(this._currentDepthNear!==z.near||this._currentDepthFar!==z.far)&&(x.updateRenderState({depthNear:z.near,depthFar:z.far}),this._currentDepthNear=z.near,this._currentDepthFar=z.far),z.layers.mask=a.layers.mask|6,ee.layers.mask=z.layers.mask&3,te.layers.mask=z.layers.mask&5;const ne=a.parent,ie=z.cameras;x6(z,ne);for(let ae=0;ae<ie.length;ae++)x6(ie[ae],ne);ie.length===2?D$(z,ee,te):z.projectionMatrix.copy(ee.projectionMatrix),I$(a,z,ne)}_getController(a){let x=this._controllers[a];return x===void 0&&(x=new I1,this._controllers[a]=x),x}}function D$(b,a,x){v6.setFromMatrixPosition(a.matrixWorld),A6.setFromMatrixPosition(x.matrixWorld);const y=v6.distanceTo(A6),E=a.projectionMatrix.elements,z=x.projectionMatrix.elements,ee=E[14]/(E[10]-1),te=E[14]/(E[10]+1),ne=(E[9]+1)/E[5],ie=(E[9]-1)/E[5],ae=(E[8]-1)/E[0],oe=(z[8]+1)/z[0],le=ee*ae,ue=ee*oe,he=y/(-ae+oe),xe=he*-ae;if(a.matrixWorld.decompose(b.position,b.quaternion,b.scale),b.translateX(xe),b.translateZ(he),b.matrixWorld.compose(b.position,b.quaternion,b.scale),b.matrixWorldInverse.copy(b.matrixWorld).invert(),E[10]===-1)b.projectionMatrix.copy(a.projectionMatrix),b.projectionMatrixInverse.copy(a.projectionMatrixInverse);else{const ve=ee+he,me=te+he,Pe=le-xe,we=ue+(y-xe),Me=ne*te/me*ve,Le=ie*te/me*ve;b.projectionMatrix.makePerspective(Pe,we,Me,Le,ve,me),b.projectionMatrixInverse.copy(b.projectionMatrix).invert()}}function x6(b,a){a===null?b.matrixWorld.copy(b.matrix):b.matrixWorld.multiplyMatrices(a.matrixWorld,b.matrix),b.matrixWorldInverse.copy(b.matrixWorld).invert()}function I$(b,a,x){x===null?b.matrix.copy(a.matrixWorld):(b.matrix.copy(x.matrixWorld),b.matrix.invert(),b.matrix.multiply(a.matrixWorld)),b.matrix.decompose(b.position,b.quaternion,b.scale),b.updateMatrixWorld(!0),b.projectionMatrix.copy(a.projectionMatrix),b.projectionMatrixInverse.copy(a.projectionMatrixInverse),b.isPerspectiveCamera&&(b.fov=gu*2*Math.atan(1/b.projectionMatrix.elements[5]),b.zoom=1)}function N$(b){const a=this._controllerInputSources.indexOf(b.inputSource);if(a===-1)return;const x=this._controllers[a];if(x!==void 0){const y=this.getReferenceSpace();x.update(b.inputSource,b.frame,y),x.dispatchEvent({type:b.type,data:b.inputSource})}}function F$(){const b=this._session,a=this._renderer;b.removeEventListener("select",this._onSessionEvent),b.removeEventListener("selectstart",this._onSessionEvent),b.removeEventListener("selectend",this._onSessionEvent),b.removeEventListener("squeeze",this._onSessionEvent),b.removeEventListener("squeezestart",this._onSessionEvent),b.removeEventListener("squeezeend",this._onSessionEvent),b.removeEventListener("end",this._onSessionEnd),b.removeEventListener("inputsourceschange",this._onInputSourcesChange);for(let x=0;x<this._controllers.length;x++){const y=this._controllerInputSources[x];y!==null&&(this._controllerInputSources[x]=null,this._controllers[x].disconnect(y))}if(this._currentDepthNear=null,this._currentDepthFar=null,a._resetXRState(),this._session=null,this._xrRenderTarget=null,this._glBinding=null,this._glBaseLayer=null,this._glProjLayer=null,this._sessionUsesLayers===!0)for(const x of this._layers)x.renderTarget=new $b(x.pixelwidth,x.pixelheight,{format:El,type:yl,depthTexture:new yh(x.pixelwidth,x.pixelheight,x.stencilBuffer?id:fl,void 0,void 0,void 0,void 0,void 0,void 0,x.stencilBuffer?jc:Ed),stencilBuffer:x.stencilBuffer,resolveDepthBuffer:!1,resolveStencilBuffer:!1}),x.renderTarget.isXRRenderTarget=!1,x.plane.material=x.material,x.material.map=x.renderTarget.texture,x.material.map.offset.y=1,x.material.map.repeat.y=-1,delete x.xrlayer;this.isPresenting=!1,this._useMultiview=!1,a._animation.stop(),a._animation.setAnimationLoop(this._currentAnimationLoop),a._animation.setContext(this._currentAnimationContext),a._animation.start(),a.setPixelRatio(this._currentPixelRatio),a.setSize(this._currentSize.width,this._currentSize.height,!1),this.dispatchEvent({type:"sessionend"})}function L$(b){const a=this._controllers,x=this._controllerInputSources;for(let y=0;y<b.removed.length;y++){const E=b.removed[y],z=x.indexOf(E);z>=0&&(x[z]=null,a[z].disconnect(E))}for(let y=0;y<b.added.length;y++){const E=b.added[y];let z=x.indexOf(E);if(z===-1){for(let te=0;te<a.length;te++)if(te>=x.length){x.push(E),z=te;break}else if(x[te]===null){x[te]=E,z=te;break}if(z===-1)break}const ee=a[z];ee&&ee.connect(E)}}function R$(b){return b.type==="quad"?this._glBinding.createQuadLayer({transform:new XRRigidTransform(b.translation,b.quaternion),width:b.width/2,height:b.height/2,space:this._referenceSpace,viewPixelWidth:b.pixelwidth,viewPixelHeight:b.pixelheight,clearOnAccess:!1}):this._glBinding.createCylinderLayer({transform:new XRRigidTransform(b.translation,b.quaternion),radius:b.radius,centralAngle:b.centralAngle,aspectRatio:b.aspectRatio,space:this._referenceSpace,viewPixelWidth:b.pixelwidth,viewPixelHeight:b.pixelheight,clearOnAccess:!1})}function O$(b,a){if(a===void 0)return;const x=this._cameraXR,y=this._renderer,E=y.backend,z=this._glBaseLayer,ee=this.getReferenceSpace(),te=a.getViewerPose(ee);if(this._xrFrame=a,te!==null){const ne=te.views;this._glBaseLayer!==null&&E.setXRTarget(z.framebuffer);let ie=!1;ne.length!==x.cameras.length&&(x.cameras.length=0,ie=!0);for(let ae=0;ae<ne.length;ae++){const oe=ne[ae];let le;if(this._supportsLayers===!0){const he=this._glBinding.getViewSubImage(this._glProjLayer,oe);le=he.viewport,ae===0&&E.setXRRenderTargetTextures(this._xrRenderTarget,he.colorTexture,this._glProjLayer.ignoreDepthValues&&!this._useMultiview?void 0:he.depthStencilTexture)}else le=z.getViewport(oe);let ue=this._cameras[ae];ue===void 0&&(ue=new gc,ue.layers.enable(ae),ue.viewport=new la,this._cameras[ae]=ue),ue.matrix.fromArray(oe.transform.matrix),ue.matrix.decompose(ue.position,ue.quaternion,ue.scale),ue.projectionMatrix.fromArray(oe.projectionMatrix),ue.projectionMatrixInverse.copy(ue.projectionMatrix).invert(),ue.viewport.set(le.x,le.y,le.width,le.height),ae===0&&(x.matrix.copy(ue.matrix),x.matrix.decompose(x.position,x.quaternion,x.scale)),ie===!0&&x.cameras.push(ue)}y.setOutputRenderTarget(this._xrRenderTarget)}for(let ne=0;ne<this._controllers.length;ne++){const ie=this._controllerInputSources[ne],ae=this._controllers[ne];ie!==null&&ae!==void 0&&ae.update(ie,a,ee)}this._currentAnimationLoop&&this._currentAnimationLoop(b,a),a.detectedPlanes&&this.dispatchEvent({type:"planesdetected",data:a}),this._xrFrame=null}class z$ extends Qu{constructor(a){super(),this.domElement=a,this._pixelRatio=1,this._width=this.domElement.width,this._height=this.domElement.height,this._viewport=new la(0,0,this._width,this._height),this._scissor=new la(0,0,this._width,this._height),this._scissorTest=!1,this.colorTexture=new b3,this.depthTexture=new yh}getPixelRatio(){return this._pixelRatio}getDrawingBufferSize(a){return a.set(this._width*this._pixelRatio,this._height*this._pixelRatio).floor()}getSize(a){return a.set(this._width,this._height)}setPixelRatio(a=1){this._pixelRatio!==a&&(this._pixelRatio=a,this.setSize(this._width,this._height,!1))}setDrawingBufferSize(a,x,y){this.xr&&this.xr.isPresenting||(this._width=a,this._height=x,this._pixelRatio=y,this.domElement.width=Math.floor(a*y),this.domElement.height=Math.floor(x*y),this.setViewport(0,0,a,x),this._dispatchResize())}setSize(a,x,y=!0){this.xr&&this.xr.isPresenting||(this._width=a,this._height=x,this.domElement.width=Math.floor(a*this._pixelRatio),this.domElement.height=Math.floor(x*this._pixelRatio),y===!0&&(this.domElement.style.width=a+"px",this.domElement.style.height=x+"px"),this.setViewport(0,0,a,x),this._dispatchResize())}getScissor(a){const x=this._scissor;return a.x=x.x,a.y=x.y,a.width=x.width,a.height=x.height,a}setScissor(a,x,y,E){const z=this._scissor;a.isVector4?z.copy(a):z.set(a,x,y,E)}getScissorTest(){return this._scissorTest}setScissorTest(a){this._scissorTest=a}getViewport(a){return a.copy(this._viewport)}setViewport(a,x,y,E,z=0,ee=1){const te=this._viewport;a.isVector4?te.copy(a):te.set(a,x,y,E),te.minDepth=z,te.maxDepth=ee}_dispatchResize(){this.dispatchEvent({type:"resize"})}dispose(){this.dispatchEvent({type:"dispose"})}}const y6=new ty,Lx=new ar,l5=new la,u5=new XA,c5=new U1,Kw=new Fs,i0=new la;class k${constructor(a,x={}){this.isRenderer=!0;const{logarithmicDepthBuffer:y=!1,alpha:E=!0,depth:z=!0,stencil:ee=!1,antialias:te=!1,samples:ne=0,getFallback:ie=null,colorBufferType:ae=bl,multiview:oe=!1}=x;this.backend=a,this.autoClear=!0,this.autoClearColor=!0,this.autoClearDepth=!0,this.autoClearStencil=!0,this.alpha=E,this.logarithmicDepthBuffer=y,this.outputColorSpace=yt,this.toneMapping=ks,this.toneMappingExposure=1,this.sortObjects=!0,this.depth=z,this.stencil=ee,this.info=new BY,this.overrideNodes={modelViewMatrix:null,modelNormalViewMatrix:null},this.library=new g6,this.lighting=new M$,this._samples=ne||te===!0?4:0,this._onCanvasTargetResize=this._onCanvasTargetResize.bind(this),this._canvasTarget=new z$(a.getDomElement()),this._canvasTarget.addEventListener("resize",this._onCanvasTargetResize),this._canvasTarget.isDefaultCanvasTarget=!0,this._inspector=new N4,this._inspector.setRenderer(this),this._getFallback=ie,this._attributes=null,this._geometries=null,this._nodes=null,this._animation=null,this._bindings=null,this._objects=null,this._pipelines=null,this._bundles=null,this._renderLists=null,this._renderContexts=null,this._textures=null,this._background=null,this._quad=new Ob(new Bu),this._quad.name="Output Color Transform",this._quad.material.name="outputColorTransform",this._currentRenderContext=null,this._opaqueSort=null,this._transparentSort=null,this._frameBufferTarget=null;const le=this.alpha===!0?0:1;this._clearColor=new NS(0,0,0,le),this._clearDepth=1,this._clearStencil=0,this._renderTarget=null,this._activeCubeFace=0,this._activeMipmapLevel=0,this._outputRenderTarget=null,this._mrt=null,this._renderObjectFunction=null,this._currentRenderObjectFunction=null,this._currentRenderBundle=null,this._handleObjectFunction=this._renderObjectDirect,this._isDeviceLost=!1,this.onDeviceLost=this._onDeviceLost,this._colorBufferType=ae,this._cacheShadowNodes=new WeakMap,this._initialized=!1,this._initPromise=null,this._compilationPromises=null,this.transparent=!0,this.opaque=!0,this.shadowMap={enabled:!1,type:kd},this.xr=new T$(this,oe),this.debug={checkShaderErrors:!0,onShaderError:null,getShaderAsync:(ue,he,xe)=>ca(this,null,function*(){yield this.compileAsync(ue,he);const ve=this._renderLists.get(ue,he),me=this._renderContexts.get(ue,he,this._renderTarget),Pe=ue.overrideMaterial||xe.material,we=this._objects.get(xe,Pe,ue,he,ve.lightsNode,me,me.clippingContext),{fragmentShader:Me,vertexShader:Le}=we.getNodeBuilderState();return{fragmentShader:Me,vertexShader:Le}})}}init(){return ca(this,null,function*(){return this._initPromise!==null?this._initPromise:(this._initPromise=new Promise((a,x)=>ca(this,null,function*(){let y=this.backend;try{yield y.init(this)}catch(E){if(this._getFallback!==null)try{this.backend=y=this._getFallback(E),yield y.init(this)}catch(z){x(z);return}else{x(E);return}}this._nodes=new C$(this,y),this._animation=new AY(this,this._nodes,this.info),this._attributes=new PY(y),this._background=new H_(this,this._nodes),this._geometries=new SY(this._attributes,this.info),this._textures=new VY(this,y,this.info),this._pipelines=new IY(y,this._nodes),this._bindings=new NY(y,this._nodes,this._textures,this._attributes,this._pipelines,this.info),this._objects=new EY(this,this._nodes,this._geometries,this._pipelines,this._bindings,this.info),this._renderLists=new RY(this.lighting),this._bundles=new S$,this._renderContexts=new UY,this._animation.start(),this._initialized=!0,this._inspector.init(),a(this)})),this._initPromise)})}get domElement(){return this._canvasTarget.domElement}get coordinateSystem(){return this.backend.coordinateSystem}compileAsync(a,x,y=null){return ca(this,null,function*(){if(this._isDeviceLost===!0)return;this._initialized===!1&&(yield this.init());const E=this._nodes.nodeFrame,z=E.renderId,ee=this._currentRenderContext,te=this._currentRenderObjectFunction,ne=this._compilationPromises,ie=a.isScene===!0?a:y6;y===null&&(y=a);const ae=this._renderTarget,oe=this._renderContexts.get(y,x,ae),le=this._activeMipmapLevel,ue=[];this._currentRenderContext=oe,this._currentRenderObjectFunction=this.renderObject,this._handleObjectFunction=this._createObjectPipeline,this._compilationPromises=ue,E.renderId++,E.update(),oe.depth=this.depth,oe.stencil=this.stencil,oe.clippingContext||(oe.clippingContext=new Jw),oe.clippingContext.updateGlobal(ie,x),ie.onBeforeRender(this,a,x,ae);const he=this._renderLists.get(a,x);if(he.begin(),this._projectObject(a,x,0,he,oe.clippingContext),y!==a&&y.traverseVisible(function(we){we.isLight&&we.layers.test(x.layers)&&he.pushLight(we)}),he.finish(),ae!==null){this._textures.updateRenderTarget(ae,le);const we=this._textures.get(ae);oe.textures=we.textures,oe.depthTexture=we.depthTexture}else oe.textures=null,oe.depthTexture=null;this._background.update(ie,he,oe);const xe=he.opaque,ve=he.transparent,me=he.transparentDoublePass,Pe=he.lightsNode;this.opaque===!0&&xe.length>0&&this._renderObjects(xe,x,ie,Pe),this.transparent===!0&&ve.length>0&&this._renderTransparents(ve,me,x,ie,Pe),E.renderId=z,this._currentRenderContext=ee,this._currentRenderObjectFunction=te,this._compilationPromises=ne,this._handleObjectFunction=this._renderObjectDirect,yield Promise.all(ue)})}renderAsync(a,x){return ca(this,null,function*(){no('Renderer: "renderAsync()" has been deprecated. Use "render()" and "await renderer.init();" when creating the renderer.'),yield this.init(),this.render(a,x)})}waitForGPU(){return ca(this,null,function*(){cr("Renderer: waitForGPU() has been removed. Read https://github.com/mrdoob/three.js/issues/32012 for more information.")})}set inspector(a){this._inspector!==null&&this._inspector.setRenderer(null),this._inspector=a,this._inspector.setRenderer(this)}get inspector(){return this._inspector}set highPrecision(a){a===!0?(this.overrideNodes.modelViewMatrix=HP,this.overrideNodes.modelNormalViewMatrix=UP):this.highPrecision&&(this.overrideNodes.modelViewMatrix=null,this.overrideNodes.modelNormalViewMatrix=null)}get highPrecision(){return this.overrideNodes.modelViewMatrix===HP&&this.overrideNodes.modelNormalViewMatrix===UP}setMRT(a){return this._mrt=a,this}getMRT(){return this._mrt}getColorBufferType(){return this._colorBufferType}_onDeviceLost(a){let x=`THREE.WebGPURenderer: ${a.api} Device Lost:

Message: ${a.message}`;a.reason&&(x+=`
Reason: ${a.reason}`),cr(x),this._isDeviceLost=!0}_renderBundle(a,x,y){const{bundleGroup:E,camera:z,renderList:ee}=a,te=this._currentRenderContext,ne=this._bundles.get(E,z),ie=this.backend.get(ne);ie.renderContexts===void 0&&(ie.renderContexts=new Set);const ae=E.version!==ie.version,oe=ie.renderContexts.has(te)===!1||ae;if(ie.renderContexts.add(te),oe){this.backend.beginBundle(te),(ie.renderObjects===void 0||ae)&&(ie.renderObjects=[]),this._currentRenderBundle=ne;const{transparentDoublePass:le,transparent:ue,opaque:he}=ee;this.opaque===!0&&he.length>0&&this._renderObjects(he,z,x,y),this.transparent===!0&&ue.length>0&&this._renderTransparents(ue,le,z,x,y),this._currentRenderBundle=null,this.backend.finishBundle(te,ne),ie.version=E.version}else{const{renderObjects:le}=ie;for(let ue=0,he=le.length;ue<he;ue++){const xe=le[ue];this._nodes.needsRefresh(xe)&&(this._nodes.updateBefore(xe),this._nodes.updateForRender(xe),this._bindings.updateForRender(xe),this._nodes.updateAfter(xe))}}this.backend.addBundle(te,ne)}render(a,x){if(this._initialized===!1)throw new Error('Renderer: .render() called before the backend is initialized. Use "await renderer.init();" before rendering.');this._renderScene(a,x)}get initialized(){return this._initialized}_getFrameBufferTarget(){const{currentToneMapping:a,currentColorSpace:x}=this,y=a!==ks,E=x!==ba.workingColorSpace;if(y===!1&&E===!1)return null;const{width:z,height:ee}=this.getDrawingBufferSize(Lx),{depth:te,stencil:ne}=this;let ie=this._frameBufferTarget;ie===null&&(ie=new Fg(z,ee,{depthBuffer:te,stencilBuffer:ne,type:this._colorBufferType,format:El,colorSpace:ba.workingColorSpace,generateMipmaps:!1,minFilter:Co,magFilter:Co,samples:this.samples}),ie.isPostProcessingRenderTarget=!0,this._frameBufferTarget=ie);const ae=this.getOutputRenderTarget();ie.depthBuffer=te,ie.stencilBuffer=ne,ae!==null?ie.setSize(ae.width,ae.height,ae.depth):ie.setSize(z,ee,1);const oe=this._canvasTarget;return ie.viewport.copy(oe._viewport),ie.scissor.copy(oe._scissor),ie.viewport.multiplyScalar(oe._pixelRatio),ie.scissor.multiplyScalar(oe._pixelRatio),ie.scissorTest=oe._scissorTest,ie.multiview=ae!==null?ae.multiview:!1,ie.resolveDepthBuffer=ae!==null?ae.resolveDepthBuffer:!0,ie._autoAllocateDepthBuffer=ae!==null?ae._autoAllocateDepthBuffer:!1,ie}_renderScene(a,x,y=!0){if(this._isDeviceLost===!0)return;const E=y?this._getFrameBufferTarget():null,z=this._nodes.nodeFrame,ee=z.renderId,te=this._currentRenderContext,ne=this._currentRenderObjectFunction,ie=a.isScene===!0?a:y6,ae=this._renderTarget||this._outputRenderTarget,oe=this._activeCubeFace,le=this._activeMipmapLevel;let ue;E!==null?(ue=E,this.setRenderTarget(ue)):ue=ae;const he=this._renderContexts.get(a,x,ue);this._currentRenderContext=he,this._currentRenderObjectFunction=this._renderObjectFunction||this.renderObject,this.info.calls++,this.info.render.calls++,this.info.render.frameCalls++,z.renderId=this.info.calls,this.backend.updateTimeStampUID(he),this.inspector.beginRender(this.backend.getTimestampUID(he),a,x,ue);const xe=this.coordinateSystem,ve=this.xr;if(x.coordinateSystem!==xe&&ve.isPresenting===!1&&(x.coordinateSystem=xe,x.updateProjectionMatrix(),x.isArrayCamera))for(const st of x.cameras)st.coordinateSystem=xe,st.updateProjectionMatrix();a.matrixWorldAutoUpdate===!0&&a.updateMatrixWorld(),x.parent===null&&x.matrixWorldAutoUpdate===!0&&x.updateMatrixWorld(),ve.enabled===!0&&ve.isPresenting===!0&&(ve.cameraAutoUpdate===!0&&ve.updateCamera(x),x=ve.getCamera());const me=this._canvasTarget;let Pe=me._viewport,we=me._scissor,Me=me._pixelRatio;ue!==null&&(Pe=ue.viewport,we=ue.scissor,Me=1),this.getDrawingBufferSize(Lx),l5.set(0,0,Lx.width,Lx.height);const Le=Pe.minDepth===void 0?0:Pe.minDepth,De=Pe.maxDepth===void 0?1:Pe.maxDepth;he.viewportValue.copy(Pe).multiplyScalar(Me).floor(),he.viewportValue.width>>=le,he.viewportValue.height>>=le,he.viewportValue.minDepth=Le,he.viewportValue.maxDepth=De,he.viewport=he.viewportValue.equals(l5)===!1,he.scissorValue.copy(we).multiplyScalar(Me).floor(),he.scissor=me._scissorTest&&he.scissorValue.equals(l5)===!1,he.scissorValue.width>>=le,he.scissorValue.height>>=le,he.clippingContext||(he.clippingContext=new Jw),he.clippingContext.updateGlobal(ie,x),ie.onBeforeRender(this,a,x,ue);const ke=x.isArrayCamera?c5:u5;x.isArrayCamera||(Kw.multiplyMatrices(x.projectionMatrix,x.matrixWorldInverse),ke.setFromProjectionMatrix(Kw,x.coordinateSystem,x.reversedDepth));const ze=this._renderLists.get(a,x);if(ze.begin(),this._projectObject(a,x,0,ze,he.clippingContext),ze.finish(),this.sortObjects===!0&&ze.sort(this._opaqueSort,this._transparentSort),ue!==null){this._textures.updateRenderTarget(ue,le);const st=this._textures.get(ue);he.textures=st.textures,he.depthTexture=st.depthTexture,he.width=st.width,he.height=st.height,he.renderTarget=ue,he.depth=ue.depthBuffer,he.stencil=ue.stencilBuffer}else he.textures=null,he.depthTexture=null,he.width=Lx.width,he.height=Lx.height,he.depth=this.depth,he.stencil=this.stencil;he.width>>=le,he.height>>=le,he.activeCubeFace=oe,he.activeMipmapLevel=le,he.occlusionQueryCount=ze.occlusionQueryCount,he.scissorValue.max(i0.set(0,0,0,0)),he.scissorValue.x+he.scissorValue.width>he.width&&(he.scissorValue.width=Math.max(he.width-he.scissorValue.x,0)),he.scissorValue.y+he.scissorValue.height>he.height&&(he.scissorValue.height=Math.max(he.height-he.scissorValue.y,0)),this._background.update(ie,ze,he),he.camera=x,this.backend.beginRender(he);const{bundles:He,lightsNode:Re,transparentDoublePass:Fe,transparent:$e,opaque:pt}=ze;return He.length>0&&this._renderBundles(He,ie,Re),this.opaque===!0&&pt.length>0&&this._renderObjects(pt,x,ie,Re),this.transparent===!0&&$e.length>0&&this._renderTransparents($e,Fe,x,ie,Re),this.backend.finishRender(he),z.renderId=ee,this._currentRenderContext=te,this._currentRenderObjectFunction=ne,E!==null&&(this.setRenderTarget(ae,oe,le),this._renderOutput(ue)),ie.onAfterRender(this,a,x,ue),this.inspector.finishRender(this.backend.getTimestampUID(he)),he}_setXRLayerSize(a,x){this._canvasTarget._width=a,this._canvasTarget._height=x,this.setViewport(0,0,a,x)}_renderOutput(a){const x=this._quad;this._nodes.hasOutputChange(a.texture)&&(x.material.fragmentNode=this._nodes.getOutputNode(a.texture),x.material.needsUpdate=!0);const y=this.autoClear,E=this.xr.enabled;this.autoClear=!1,this.xr.enabled=!1,this._renderScene(x,x.camera,!1),this.autoClear=y,this.xr.enabled=E}getMaxAnisotropy(){return this.backend.getMaxAnisotropy()}getActiveCubeFace(){return this._activeCubeFace}getActiveMipmapLevel(){return this._activeMipmapLevel}setAnimationLoop(a){return ca(this,null,function*(){this._initialized===!1&&(yield this.init()),this._animation.setAnimationLoop(a)})}getAnimationLoop(){return this._animation.getAnimationLoop()}getArrayBufferAsync(a){return ca(this,null,function*(){return yield this.backend.getArrayBufferAsync(a)})}getContext(){return this.backend.getContext()}getPixelRatio(){return this._canvasTarget.getPixelRatio()}getDrawingBufferSize(a){return this._canvasTarget.getDrawingBufferSize(a)}getSize(a){return this._canvasTarget.getSize(a)}setPixelRatio(a=1){this._canvasTarget.setPixelRatio(a)}setDrawingBufferSize(a,x,y){this.xr&&this.xr.isPresenting||this._canvasTarget.setDrawingBufferSize(a,x,y)}setSize(a,x,y=!0){this.xr&&this.xr.isPresenting||this._canvasTarget.setSize(a,x,y)}setOpaqueSort(a){this._opaqueSort=a}setTransparentSort(a){this._transparentSort=a}getScissor(a){return this._canvasTarget.getScissor(a)}setScissor(a,x,y,E){this._canvasTarget.setScissor(a,x,y,E)}getScissorTest(){return this._canvasTarget.getScissorTest()}setScissorTest(a){this._canvasTarget.setScissorTest(a),this.backend.setScissorTest(a)}getViewport(a){return this._canvasTarget.getViewport(a)}setViewport(a,x,y,E,z=0,ee=1){this._canvasTarget.setViewport(a,x,y,E,z,ee)}getClearColor(a){return a.copy(this._clearColor)}setClearColor(a,x=1){this._clearColor.set(a),this._clearColor.a=x}getClearAlpha(){return this._clearColor.a}setClearAlpha(a){this._clearColor.a=a}getClearDepth(){return this._clearDepth}setClearDepth(a){this._clearDepth=a}getClearStencil(){return this._clearStencil}setClearStencil(a){this._clearStencil=a}isOccluded(a){const x=this._currentRenderContext;return x&&this.backend.isOccluded(x,a)}clear(a=!0,x=!0,y=!0){if(this._initialized===!1)throw new Error('Renderer: .clear() called before the backend is initialized. Use "await renderer.init();" before before using this method.');const E=this._renderTarget||this._getFrameBufferTarget();let z=null;if(E!==null){this._textures.updateRenderTarget(E);const ee=this._textures.get(E);z=this._renderContexts.getForClear(E),z.textures=ee.textures,z.depthTexture=ee.depthTexture,z.width=ee.width,z.height=ee.height,z.renderTarget=E,z.depth=E.depthBuffer,z.stencil=E.stencilBuffer,z.clearColorValue=this.backend.getClearColor(),z.activeCubeFace=this.getActiveCubeFace(),z.activeMipmapLevel=this.getActiveMipmapLevel()}this.backend.clear(a,x,y,z),E!==null&&this._renderTarget===null&&this._renderOutput(E)}clearColor(){this.clear(!0,!1,!1)}clearDepth(){this.clear(!1,!0,!1)}clearStencil(){this.clear(!1,!1,!0)}clearAsync(a=!0,x=!0,y=!0){return ca(this,null,function*(){no('Renderer: "clearAsync()" has been deprecated. Use "clear()" and "await renderer.init();" when creating the renderer.'),yield this.init(),this.clear(a,x,y)})}clearColorAsync(){return ca(this,null,function*(){no('Renderer: "clearColorAsync()" has been deprecated. Use "clearColor()" and "await renderer.init();" when creating the renderer.'),this.clear(!0,!1,!1)})}clearDepthAsync(){return ca(this,null,function*(){no('Renderer: "clearDepthAsync()" has been deprecated. Use "clearDepth()" and "await renderer.init();" when creating the renderer.'),this.clear(!1,!0,!1)})}clearStencilAsync(){return ca(this,null,function*(){no('Renderer: "clearStencilAsync()" has been deprecated. Use "clearStencil()" and "await renderer.init();" when creating the renderer.'),this.clear(!1,!1,!0)})}get needsFrameBufferTarget(){const a=this.currentToneMapping!==ks,x=this.currentColorSpace!==ba.workingColorSpace;return a||x}get samples(){return this._samples}get currentSamples(){let a=this._samples;return this._renderTarget!==null?a=this._renderTarget.samples:this.needsFrameBufferTarget&&(a=0),a}get currentToneMapping(){return this.isOutputTarget?this.toneMapping:ks}get currentColorSpace(){return this.isOutputTarget?this.outputColorSpace:ba.workingColorSpace}get isOutputTarget(){return this._renderTarget===this._outputRenderTarget||this._renderTarget===null}dispose(){this._initialized===!0&&(this.info.dispose(),this.backend.dispose(),this._animation.dispose(),this._objects.dispose(),this._geometries.dispose(),this._pipelines.dispose(),this._nodes.dispose(),this._bindings.dispose(),this._renderLists.dispose(),this._renderContexts.dispose(),this._textures.dispose(),this._frameBufferTarget!==null&&this._frameBufferTarget.dispose(),Object.values(this.backend.timestampQueryPool).forEach(a=>{a!==null&&a.dispose()})),this.setRenderTarget(null),this.setAnimationLoop(null)}setRenderTarget(a,x=0,y=0){this._renderTarget=a,this._activeCubeFace=x,this._activeMipmapLevel=y}getRenderTarget(){return this._renderTarget}setOutputRenderTarget(a){this._outputRenderTarget=a}getOutputRenderTarget(){return this._outputRenderTarget}setCanvasTarget(a){this._canvasTarget.removeEventListener("resize",this._onCanvasTargetResize),this._canvasTarget=a,this._canvasTarget.addEventListener("resize",this._onCanvasTargetResize)}getCanvasTarget(){return this._canvasTarget}_resetXRState(){this.backend.setXRTarget(null),this.setOutputRenderTarget(null),this.setRenderTarget(null),this._frameBufferTarget.dispose(),this._frameBufferTarget=null}setRenderObjectFunction(a){this._renderObjectFunction=a}getRenderObjectFunction(){return this._renderObjectFunction}compute(a,x=null){if(this._isDeviceLost===!0)return;if(this._initialized===!1)return wn("Renderer: .compute() called before the backend is initialized. Try using .computeAsync() instead."),this.computeAsync(a,x);const y=this._nodes.nodeFrame,E=y.renderId;this.info.calls++,this.info.compute.calls++,this.info.compute.frameCalls++,y.renderId=this.info.calls,this.backend.updateTimeStampUID(a),this.inspector.beginCompute(this.backend.getTimestampUID(a),a);const z=this.backend,ee=this._pipelines,te=this._bindings,ne=this._nodes,ie=Array.isArray(a)?a:[a];if(ie[0]===void 0||ie[0].isComputeNode!==!0)throw new Error("THREE.Renderer: .compute() expects a ComputeNode.");z.beginCompute(a);for(const ae of ie){if(ee.has(ae)===!1){const ue=()=>{ae.removeEventListener("dispose",ue),ee.delete(ae),te.deleteForCompute(ae),ne.delete(ae)};ae.addEventListener("dispose",ue);const he=ae.onInitFunction;he!==null&&he.call(ae,{renderer:this})}ne.updateForCompute(ae),te.updateForCompute(ae);const oe=te.getForCompute(ae),le=ee.getForCompute(ae,oe);z.compute(a,ae,oe,le,x)}z.finishCompute(a),y.renderId=E,this.inspector.finishCompute(this.backend.getTimestampUID(a))}computeAsync(a,x=null){return ca(this,null,function*(){this._initialized===!1&&(yield this.init()),this.compute(a,x)})}hasFeatureAsync(a){return ca(this,null,function*(){return no('Renderer: "hasFeatureAsync()" has been deprecated. Use "hasFeature()" and "await renderer.init();" when creating the renderer.'),yield this.init(),this.hasFeature(a)})}resolveTimestampsAsync(a="render"){return ca(this,null,function*(){return this._initialized===!1&&(yield this.init()),this.backend.resolveTimestampsAsync(a)})}hasFeature(a){if(this._initialized===!1)throw new Error('Renderer: .hasFeature() called before the backend is initialized. Use "await renderer.init();" before before using this method.');return this.backend.hasFeature(a)}hasInitialized(){return this._initialized}initTextureAsync(a){return ca(this,null,function*(){no('Renderer: "initTextureAsync()" has been deprecated. Use "initTexture()" and "await renderer.init();" when creating the renderer.'),yield this.init(),this.initTexture(a)})}initTexture(a){if(this._initialized===!1)throw new Error('Renderer: .initTexture() called before the backend is initialized. Use "await renderer.init();" before before using this method.');this._textures.updateTexture(a)}copyFramebufferToTexture(a,x=null){if(x!==null)if(x.isVector2)x=i0.set(x.x,x.y,a.image.width,a.image.height).floor();else if(x.isVector4)x=i0.copy(x).floor();else{cr("Renderer.copyFramebufferToTexture: Invalid rectangle.");return}else x=i0.set(0,0,a.image.width,a.image.height);let y=this._currentRenderContext,E;y!==null?E=y.renderTarget:(E=this._renderTarget||this._getFrameBufferTarget(),E!==null&&(this._textures.updateRenderTarget(E),y=this._textures.get(E))),this._textures.updateTexture(a,{renderTarget:E}),this.backend.copyFramebufferToTexture(a,y,x),this._inspector.copyFramebufferToTexture(a)}copyTextureToTexture(a,x,y=null,E=null,z=0,ee=0){this._textures.updateTexture(a),this._textures.updateTexture(x),this.backend.copyTextureToTexture(a,x,y,E,z,ee),this._inspector.copyTextureToTexture(a,x)}readRenderTargetPixelsAsync(a,x,y,E,z,ee=0,te=0){return ca(this,null,function*(){return this.backend.copyTextureToBuffer(a.textures[ee],x,y,E,z,te)})}_projectObject(a,x,y,E,z){if(a.visible===!1)return;if(a.layers.test(x.layers)){if(a.isGroup)y=a.renderOrder,a.isClippingGroup&&a.enabled&&(z=z.getGroupContext(a));else if(a.isLOD)a.autoUpdate===!0&&a.update(x);else if(a.isLight)E.pushLight(a);else if(a.isSprite){const ne=x.isArrayCamera?c5:u5;if(!a.frustumCulled||ne.intersectsSprite(a,x)){this.sortObjects===!0&&i0.setFromMatrixPosition(a.matrixWorld).applyMatrix4(Kw);const{geometry:ie,material:ae}=a;ae.visible&&E.push(a,ie,ae,y,i0.z,null,z)}}else if(a.isLineLoop)cr("Renderer: Objects of type THREE.LineLoop are not supported. Please use THREE.Line or THREE.LineSegments.");else if(a.isMesh||a.isLine||a.isPoints){const ne=x.isArrayCamera?c5:u5;if(!a.frustumCulled||ne.intersectsObject(a,x)){const{geometry:ie,material:ae}=a;if(this.sortObjects===!0&&(ie.boundingSphere===null&&ie.computeBoundingSphere(),i0.copy(ie.boundingSphere.center).applyMatrix4(a.matrixWorld).applyMatrix4(Kw)),Array.isArray(ae)){const oe=ie.groups;for(let le=0,ue=oe.length;le<ue;le++){const he=oe[le],xe=ae[he.materialIndex];xe&&xe.visible&&E.push(a,ie,xe,y,i0.z,he,z)}}else ae.visible&&E.push(a,ie,ae,y,i0.z,null,z)}}}if(a.isBundleGroup===!0&&this.backend.beginBundle!==void 0){const ne=E;E=this._renderLists.get(a,x),E.begin(),ne.pushBundle({bundleGroup:a,camera:x,renderList:E}),E.finish()}const te=a.children;for(let ne=0,ie=te.length;ne<ie;ne++)this._projectObject(te[ne],x,y,E,z)}_renderBundles(a,x,y){for(const E of a)this._renderBundle(E,x,y)}_renderTransparents(a,x,y,E,z){if(x.length>0){for(const{material:ee}of x)ee.side=co;this._renderObjects(x,y,E,z,"backSide");for(const{material:ee}of x)ee.side=Ol;this._renderObjects(a,y,E,z);for(const{material:ee}of x)ee.side=Ko}else this._renderObjects(a,y,E,z)}_renderObjects(a,x,y,E,z=null){for(let ee=0,te=a.length;ee<te;ee++){const{object:ne,geometry:ie,material:ae,group:oe,clippingContext:le}=a[ee];this._currentRenderObjectFunction(ne,y,x,ie,ae,oe,E,le,z)}}_getShadowNodes(a){const x=a.version;let y=this._cacheShadowNodes.get(a);if(y===void 0||y.version!==x){const E=a.map!==null,z=a.colorNode&&a.colorNode.isNode,ee=a.castShadowNode&&a.castShadowNode.isNode;let te=null,ne=null,ie=null;if(E||z||ee){let ae,oe;ee?(ae=a.castShadowNode.rgb,oe=a.castShadowNode.a):(ae=sn(0),oe=lt(1)),E&&(oe=oe.mul(jl("map","texture",a).a)),z&&(oe=oe.mul(a.colorNode.a)),ne=ns(ae,oe)}a.depthNode&&a.depthNode.isNode&&(ie=a.depthNode),a.castShadowPositionNode&&a.castShadowPositionNode.isNode?te=a.castShadowPositionNode:a.positionNode&&a.positionNode.isNode&&(te=a.positionNode),y={version:x,colorNode:ne,depthNode:ie,positionNode:te},this._cacheShadowNodes.set(a,y)}return y}renderObject(a,x,y,E,z,ee,te,ne=null,ie=null){let ae=!1,oe,le,ue,he;if(a.onBeforeRender(this,x,y,E,z,ee),z.allowOverride===!0&&x.overrideMaterial!==null){const xe=x.overrideMaterial;if(ae=!0,oe=x.overrideMaterial.colorNode,le=x.overrideMaterial.depthNode,ue=x.overrideMaterial.positionNode,he=x.overrideMaterial.side,z.positionNode&&z.positionNode.isNode&&(xe.positionNode=z.positionNode),xe.alphaTest=z.alphaTest,xe.alphaMap=z.alphaMap,xe.transparent=z.transparent||z.transmission>0||z.transmissionNode&&z.transmissionNode.isNode||z.backdropNode&&z.backdropNode.isNode,xe.isShadowPassMaterial){const{colorNode:ve,depthNode:me,positionNode:Pe}=this._getShadowNodes(z);xe.side=z.shadowSide===null?z.side:z.shadowSide,ve!==null&&(xe.colorNode=ve),me!==null&&(xe.depthNode=me),Pe!==null&&(xe.positionNode=Pe)}z=xe}z.transparent===!0&&z.side===Ko&&z.forceSinglePass===!1?(z.side=co,this._handleObjectFunction(a,z,x,y,te,ee,ne,"backSide"),z.side=Ol,this._handleObjectFunction(a,z,x,y,te,ee,ne,ie),z.side=Ko):this._handleObjectFunction(a,z,x,y,te,ee,ne,ie),ae&&(x.overrideMaterial.colorNode=oe,x.overrideMaterial.depthNode=le,x.overrideMaterial.positionNode=ue,x.overrideMaterial.side=he),a.onAfterRender(this,x,y,E,z,ee)}_renderObjectDirect(a,x,y,E,z,ee,te,ne){const ie=this._objects.get(a,x,y,E,z,this._currentRenderContext,te,ne);ie.drawRange=a.geometry.drawRange,ie.group=ee;const ae=this._nodes.needsRefresh(ie);ae&&(this._nodes.updateBefore(ie),this._geometries.updateForRender(ie),this._nodes.updateForRender(ie),this._bindings.updateForRender(ie)),this._pipelines.updateForRender(ie),this._currentRenderBundle!==null&&(this.backend.get(this._currentRenderBundle).renderObjects.push(ie),ie.bundle=this._currentRenderBundle.bundleGroup),this.backend.draw(ie,this.info),ae&&this._nodes.updateAfter(ie)}_createObjectPipeline(a,x,y,E,z,ee,te,ne){const ie=this._objects.get(a,x,y,E,z,this._currentRenderContext,te,ne);ie.drawRange=a.geometry.drawRange,ie.group=ee,this._nodes.updateBefore(ie),this._geometries.updateForRender(ie),this._nodes.updateForRender(ie),this._bindings.updateForRender(ie),this._pipelines.getForRender(ie,this._compilationPromises),this._nodes.updateAfter(ie)}_onCanvasTargetResize(){this._initialized&&this.backend.updateSize()}get compile(){return this.compileAsync}}class b6{constructor(a=""){this.name=a,this.visibility=0}setVisibility(a){this.visibility|=a}clone(){return Object.assign(new this.constructor,this)}}function H$(b){return b+(Y0-b%Y0)%Y0}class E6 extends b6{constructor(a,x=null){super(a),this.isBuffer=!0,this.bytesPerElement=Float32Array.BYTES_PER_ELEMENT,this._buffer=x}get byteLength(){return H$(this._buffer.byteLength)}get buffer(){return this._buffer}update(){return!0}}class w6 extends E6{constructor(a,x=null){super(a,x),this.isUniformBuffer=!0}}let U$=0;class C6 extends w6{constructor(a,x){super("UniformBuffer_"+U$++,a?a.value:null),this.nodeUniform=a,this.groupNode=x}get buffer(){return this.nodeUniform.value}}class j$ extends w6{constructor(a){super(a),this.isUniformsGroup=!0,this._values=null,this.uniforms=[]}addUniform(a){return this.uniforms.push(a),this}removeUniform(a){const x=this.uniforms.indexOf(a);return x!==-1&&this.uniforms.splice(x,1),this}get values(){return this._values===null&&(this._values=Array.from(this.buffer)),this._values}get buffer(){let a=this._buffer;if(a===null){const x=this.byteLength;a=new Float32Array(new ArrayBuffer(x)),this._buffer=a}return a}get byteLength(){const a=this.bytesPerElement;let x=0;for(let y=0,E=this.uniforms.length;y<E;y++){const z=this.uniforms[y],ee=z.boundary,te=z.itemSize*a,ne=x%Y0,ie=ne%ee,ae=ne+ie;x+=ie,ae!==0&&Y0-ae<te&&(x+=Y0-ae),z.offset=x/a,x+=te}return Math.ceil(x/Y0)*Y0}update(){let a=!1;for(const x of this.uniforms)this.updateByType(x)===!0&&(a=!0);return a}updateByType(a){if(a.isNumberUniform)return this.updateNumber(a);if(a.isVector2Uniform)return this.updateVector2(a);if(a.isVector3Uniform)return this.updateVector3(a);if(a.isVector4Uniform)return this.updateVector4(a);if(a.isColorUniform)return this.updateColor(a);if(a.isMatrix3Uniform)return this.updateMatrix3(a);if(a.isMatrix4Uniform)return this.updateMatrix4(a);cr("WebGPUUniformsGroup: Unsupported uniform type.",a)}updateNumber(a){let x=!1;const y=this.values,E=a.getValue(),z=a.offset,ee=a.getType();if(y[z]!==E){const te=this._getBufferForType(ee);te[z]=y[z]=E,x=!0}return x}updateVector2(a){let x=!1;const y=this.values,E=a.getValue(),z=a.offset,ee=a.getType();if(y[z+0]!==E.x||y[z+1]!==E.y){const te=this._getBufferForType(ee);te[z+0]=y[z+0]=E.x,te[z+1]=y[z+1]=E.y,x=!0}return x}updateVector3(a){let x=!1;const y=this.values,E=a.getValue(),z=a.offset,ee=a.getType();if(y[z+0]!==E.x||y[z+1]!==E.y||y[z+2]!==E.z){const te=this._getBufferForType(ee);te[z+0]=y[z+0]=E.x,te[z+1]=y[z+1]=E.y,te[z+2]=y[z+2]=E.z,x=!0}return x}updateVector4(a){let x=!1;const y=this.values,E=a.getValue(),z=a.offset,ee=a.getType();if(y[z+0]!==E.x||y[z+1]!==E.y||y[z+2]!==E.z||y[z+4]!==E.w){const te=this._getBufferForType(ee);te[z+0]=y[z+0]=E.x,te[z+1]=y[z+1]=E.y,te[z+2]=y[z+2]=E.z,te[z+3]=y[z+3]=E.w,x=!0}return x}updateColor(a){let x=!1;const y=this.values,E=a.getValue(),z=a.offset;if(y[z+0]!==E.r||y[z+1]!==E.g||y[z+2]!==E.b){const ee=this.buffer;ee[z+0]=y[z+0]=E.r,ee[z+1]=y[z+1]=E.g,ee[z+2]=y[z+2]=E.b,x=!0}return x}updateMatrix3(a){let x=!1;const y=this.values,E=a.getValue().elements,z=a.offset;if(y[z+0]!==E[0]||y[z+1]!==E[1]||y[z+2]!==E[2]||y[z+4]!==E[3]||y[z+5]!==E[4]||y[z+6]!==E[5]||y[z+8]!==E[6]||y[z+9]!==E[7]||y[z+10]!==E[8]){const ee=this.buffer;ee[z+0]=y[z+0]=E[0],ee[z+1]=y[z+1]=E[1],ee[z+2]=y[z+2]=E[2],ee[z+4]=y[z+4]=E[3],ee[z+5]=y[z+5]=E[4],ee[z+6]=y[z+6]=E[5],ee[z+8]=y[z+8]=E[6],ee[z+9]=y[z+9]=E[7],ee[z+10]=y[z+10]=E[8],x=!0}return x}updateMatrix4(a){let x=!1;const y=this.values,E=a.getValue().elements,z=a.offset;return G$(y,E,z)===!1&&(this.buffer.set(E,z),V$(y,E,z),x=!0),x}_getBufferForType(a){return a==="int"||a==="ivec2"||a==="ivec3"||a==="ivec4"?new Int32Array(this.buffer.buffer):a==="uint"||a==="uvec2"||a==="uvec3"||a==="uvec4"?new Uint32Array(this.buffer.buffer):this.buffer}}function V$(b,a,x){for(let y=0,E=a.length;y<E;y++)b[x+y]=a[y]}function G$(b,a,x){for(let y=0,E=a.length;y<E;y++)if(b[x+y]!==a[y])return!1;return!0}let X$=0;class P6 extends j${constructor(a,x){super(a),this.id=X$++,this.groupNode=x,this.isNodeUniformsGroup=!0}}class S6 extends b6{constructor(a,x){super(a),this._texture=null,this._onTextureDispose=()=>{this.generation=null,this.version=0},this.texture=x,this.version=x?x.version:0,this.generation=null,this.samplerKey="",this.isSampler=!0}set texture(a){this._texture!==a&&(this._texture&&this._texture.removeEventListener("dispose",this._onTextureDispose),this._texture=a,this.generation=null,this.version=0,this._texture&&this._texture.addEventListener("dispose",this._onTextureDispose))}get texture(){return this._texture}update(){const{texture:a,version:x}=this;return x!==a.version?(this.version=a.version,!0):!1}clone(){const a=super.clone();return a._texture=null,a._onTextureDispose=()=>{a.generation=null,a.version=0},a.texture=this.texture,a}}let W$=0;class Q$ extends S6{constructor(a,x){super(a,x),this.id=W$++,this.store=!1,this.mipLevel=0,this.isSampledTexture=!0}}class qw extends Q${constructor(a,x,y,E=null){super(a,x?x.value:null),this.textureNode=x,this.groupNode=y,this.access=E}update(){const{textureNode:a}=this;return this.texture!==a.value?(this.texture=a.value,!0):super.update()}}class B6 extends qw{constructor(a,x,y,E=null){super(a,x,y,E),this.isSampledCubeTexture=!0}}class d5 extends qw{constructor(a,x,y,E=null){super(a,x,y,E),this.isSampledTexture3D=!0}}const M6={bitcast_int_uint:new ud("uint tsl_bitcast_uint_to_int ( int x ) { return floatBitsToInt( uintBitsToFloat( x ) ); }"),bitcast_uint_int:new ud("uint tsl_bitcast_int_to_uint ( int x ) { return floatBitsToUint( intBitsToFloat ( x ) ); }")},Z$={textureDimensions:"textureSize",equals:"equal",bitcast_float_int:"floatBitsToInt",bitcast_int_float:"intBitsToFloat",bitcast_uint_float:"uintBitsToFloat",bitcast_float_uint:"floatBitsToUint",bitcast_uint_int:"tsl_bitcast_uint_to_int",bitcast_int_uint:"tsl_bitcast_int_to_uint"},Y$={low:"lowp",medium:"mediump",high:"highp"},T6={swizzleAssign:!0,storageBuffer:!1},D6={perspective:"smooth",linear:"noperspective"},I6={centroid:"centroid"},N6=`
precision highp float;
precision highp int;
precision highp sampler2D;
precision highp sampler3D;
precision highp samplerCube;
precision highp sampler2DArray;

precision highp usampler2D;
precision highp usampler3D;
precision highp usamplerCube;
precision highp usampler2DArray;

precision highp isampler2D;
precision highp isampler3D;
precision highp isamplerCube;
precision highp isampler2DArray;

precision lowp sampler2DShadow;
precision lowp sampler2DArrayShadow;
precision lowp samplerCubeShadow;
`;class J$ extends d6{constructor(a,x){super(a,x,new w$),this.uniformGroups={},this.transforms=[],this.extensions={},this.builtins={vertex:[],fragment:[],compute:[]}}needsToWorkingColorSpace(a){return a.isVideoTexture===!0&&a.colorSpace!==Je}_include(a){const x=M6[a];return x.build(this),this.addInclude(x),x}getMethod(a){return M6[a]!==void 0&&this._include(a),Z$[a]||a}getBitcastMethod(a,x){return this.getMethod(`bitcast_${x}_${a}`)}getTernary(a,x,y){return`${a} ? ${x} : ${y}`}getOutputStructName(){return""}buildFunctionCode(a){const x=a.layout,y=this.flowShaderNode(a),E=[];for(const ee of x.inputs)E.push(this.getType(ee.type)+" "+ee.name);return`${this.getType(x.type)} ${x.name}( ${E.join(", ")} ) {

	${y.vars}

${y.code}
	return ${y.result};

}`}setupPBO(a){const x=a.value;if(x.pbo===void 0){const y=x.array,E=x.count*x.itemSize,{itemSize:z}=x,ee=x.array.constructor.name.toLowerCase().includes("int");let te=ee?gf:Lf;z===2?te=ee?Np:vf:z===3?te=ee?w0:bm:z===4&&(te=ee?Fp:El);const ne={Float32Array:zl,Uint8Array:yl,Uint16Array:Xd,Uint32Array:fl,Int8Array:Uh,Int16Array:dh,Int32Array:pu,Uint8ClampedArray:yl},ie=Math.pow(2,Math.ceil(Math.log2(Math.sqrt(E/z))));let ae=Math.ceil(E/z/ie);ie*ae*z<E&&ae++;const oe=ie*ae*z,le=new y.constructor(oe);le.set(y,0),x.array=le;const ue=new _h(x.array,ie,ae,te,ne[x.array.constructor.name]||zl);ue.needsUpdate=!0,ue.isPBOTexture=!0;const he=new Qm(ue,null,null);he.setPrecision("high"),x.pboNode=he,x.pbo=he.value,this.getUniformFromNode(x.pboNode,"texture",this.shaderStage,this.context.nodeName)}}getPropertyName(a,x=this.shaderStage){return a.isNodeUniform&&a.node.isTextureNode!==!0&&a.node.isBufferNode!==!0?x.charAt(0)+"_"+a.name:super.getPropertyName(a,x)}generatePBO(a){const{node:x,indexNode:y}=a,E=x.value;if(this.renderer.backend.has(E)){const ae=this.renderer.backend.get(E);ae.pbo=E.pbo}const z=this.getUniformFromNode(E.pboNode,"texture",this.shaderStage,this.context.nodeName),ee=this.getPropertyName(z);this.increaseUsage(y);const te=y.build(this,"uint"),ne=this.getDataFromNode(a);let ie=ne.propertyName;if(ie===void 0){const ae=this.getVarFromNode(a);ie=this.getPropertyName(ae);const oe=this.getDataFromNode(x);let le=oe.propertySizeName;le===void 0&&(le=ie+"Size",this.getVarFromNode(x,le,"uint"),this.addLineFlowCode(`${le} = uint( textureSize( ${ee}, 0 ).x )`,a),oe.propertySizeName=le);const{itemSize:ue}=E,he="."+Hv.join("").slice(0,ue),xe=`ivec2(${te} % ${le}, ${te} / ${le})`,ve=this.generateTextureLoad(null,ee,xe,"0",null,null);let me="vec4";E.pbo.type===fl?me="uvec4":E.pbo.type===pu&&(me="ivec4"),this.addLineFlowCode(`${ie} = ${me}(${ve})${he}`,a),ne.propertyName=ie}return ie}generateTextureLoad(a,x,y,E,z,ee){E===null&&(E="0");let te;return z?ee?te=`texelFetchOffset( ${x}, ivec3( ${y}, ${z} ), ${E}, ${ee} )`:te=`texelFetch( ${x}, ivec3( ${y}, ${z} ), ${E} )`:ee?te=`texelFetchOffset( ${x}, ${y}, ${E}, ${ee} )`:te=`texelFetch( ${x}, ${y}, ${E} )`,a!==null&&a.isDepthTexture&&(te+=".x"),te}generateTexture(a,x,y,E,z){return E&&(y=`vec3( ${y}, ${E} )`),a.isDepthTexture?z?`textureOffset( ${x}, ${y}, ${z} ).x`:`texture( ${x}, ${y} ).x`:z?`textureOffset( ${x}, ${y}, ${z} )`:`texture( ${x}, ${y} )`}generateTextureLevel(a,x,y,E,z){return z?`textureLodOffset( ${x}, ${y}, ${E}, ${z} )`:`textureLod( ${x}, ${y}, ${E} )`}generateTextureBias(a,x,y,E,z){return z?`textureOffset( ${x}, ${y}, ${z}, ${E} )`:`texture( ${x}, ${y}, ${E} )`}generateTextureGrad(a,x,y,E,z){return z?`textureGradOffset( ${x}, ${y}, ${E[0]}, ${E[1]}, ${z} )`:`textureGrad( ${x}, ${y}, ${E[0]}, ${E[1]} )`}generateTextureCompare(a,x,y,E,z,ee,te=this.shaderStage){if(te==="fragment")return z?ee?`textureOffset( ${x}, vec4( ${y}, ${z}, ${E} ), ${ee} )`:`texture( ${x}, vec4( ${y}, ${z}, ${E} ) )`:ee?`textureOffset( ${x}, vec3( ${y}, ${E} ), ${ee} )`:`texture( ${x}, vec3( ${y}, ${E} ) )`;cr(`WebGPURenderer: THREE.DepthTexture.compareFunction() does not support ${te} shader.`)}getVars(a){const x=[],y=this.vars[a];if(y!==void 0)for(const E of y)x.push(`${this.getVar(E.type,E.name,E.count)};`);return x.join(`
	`)}getUniforms(a){const x=this.uniforms[a],y=[],E={};for(const ee of x){let te=null,ne=!1;if(ee.type==="texture"||ee.type==="texture3D"){const ae=ee.node.value;let oe="";(ae.isDataTexture===!0||ae.isData3DTexture===!0)&&(ae.type===fl?oe="u":ae.type===pu&&(oe="i")),ee.type==="texture3D"&&ae.isArrayTexture===!1?te=`${oe}sampler3D ${ee.name};`:ae.compareFunction?ae.isArrayTexture===!0?te=`sampler2DArrayShadow ${ee.name};`:te=`sampler2DShadow ${ee.name};`:ae.isArrayTexture===!0||ae.isDataArrayTexture===!0||ae.isCompressedArrayTexture===!0?te=`${oe}sampler2DArray ${ee.name};`:te=`${oe}sampler2D ${ee.name};`}else if(ee.type==="cubeTexture")te=`samplerCube ${ee.name};`;else if(ee.type==="buffer"){const ae=ee.node,oe=this.getType(ae.bufferType),le=ae.bufferCount,ue=le>0?le:"";te=`${ae.name} {
	${oe} ${ee.name}[${ue}];
};
`}else te=`${this.getVectorType(ee.type)} ${this.getPropertyName(ee,a)};`,ne=!0;const ie=ee.node.precision;if(ie!==null&&(te=Y$[ie]+" "+te),ne){te="	"+te;const ae=ee.groupNode.name;(E[ae]||(E[ae]=[])).push(te)}else te="uniform "+te,y.push(te)}let z="";for(const ee in E){const te=E[ee];z+=this._getGLSLUniformStruct(a+"_"+ee,te.join(`
`))+`
`}return z+=y.join(`
`),z}getTypeFromAttribute(a){let x=super.getTypeFromAttribute(a);if(/^[iu]/.test(x)&&a.gpuType!==pu){let y=a;a.isInterleavedBufferAttribute&&(y=a.data);const E=y.array;E instanceof Uint32Array||E instanceof Int32Array||(x=x.slice(1))}return x}getAttributes(a){let x="";if(a==="vertex"||a==="compute"){const y=this.getAttributesArray();let E=0;for(const z of y)x+=`layout( location = ${E++} ) in ${z.type} ${z.name};
`}return x}getStructMembers(a){const x=[];for(const y of a.members)x.push(`	${y.type} ${y.name};`);return x.join(`
`)}getStructs(a){const x=[],y=this.structs[a],E=[];for(const z of y)if(z.output)for(const ee of z.members)E.push(`layout( location = ${ee.index} ) out ${ee.type} ${ee.name};`);else{let ee="struct "+z.name+` {
`;ee+=this.getStructMembers(z),ee+=`
};
`,x.push(ee)}return E.length===0&&E.push("layout( location = 0 ) out vec4 fragColor;"),`
`+E.join(`
`)+`

`+x.join(`
`)}getVaryings(a){let x="";const y=this.varyings;if(a==="vertex"||a==="compute")for(const E of y){a==="compute"&&(E.needsInterpolation=!0);const z=this.getType(E.type);if(E.needsInterpolation)if(E.interpolationType){const ee=D6[E.interpolationType]||E.interpolationType,te=I6[E.interpolationSampling]||"";x+=`${ee} ${te} out ${z} ${E.name};
`}else{const ee=z.includes("int")||z.includes("uv")||z.includes("iv")?"flat ":"";x+=`${ee}out ${z} ${E.name};
`}else x+=`${z} ${E.name};
`}else if(a==="fragment"){for(const E of y)if(E.needsInterpolation){const z=this.getType(E.type);if(E.interpolationType){const ee=D6[E.interpolationType]||E.interpolationType,te=I6[E.interpolationSampling]||"";x+=`${ee} ${te} in ${z} ${E.name};
`}else{const ee=z.includes("int")||z.includes("uv")||z.includes("iv")?"flat ":"";x+=`${ee}in ${z} ${E.name};
`}}}for(const E of this.builtins[a])x+=`${E};
`;return x}getVertexIndex(){return"uint( gl_VertexID )"}getInstanceIndex(){return"uint( gl_InstanceID )"}getInvocationLocalIndex(){return`uint( gl_InstanceID ) % ${this.object.workgroupSize.reduce((y,E)=>y*E,1)}u`}getSubgroupSize(){cr("GLSLNodeBuilder: WebGLBackend does not support the subgroupSize node")}getInvocationSubgroupIndex(){cr("GLSLNodeBuilder: WebGLBackend does not support the invocationSubgroupIndex node")}getSubgroupIndex(){cr("GLSLNodeBuilder: WebGLBackend does not support the subgroupIndex node")}getDrawIndex(){return this.renderer.backend.extensions.has("WEBGL_multi_draw")?"uint( gl_DrawID )":null}getFrontFacing(){return"gl_FrontFacing"}getFragCoord(){return"gl_FragCoord.xy"}getFragDepth(){return"gl_FragDepth"}enableExtension(a,x,y=this.shaderStage){const E=this.extensions[y]||(this.extensions[y]=new Map);E.has(a)===!1&&E.set(a,{name:a,behavior:x})}getExtensions(a){const x=[];if(a==="vertex"){const E=this.renderer.backend.extensions;this.object.isBatchedMesh&&E.has("WEBGL_multi_draw")&&this.enableExtension("GL_ANGLE_multi_draw","require",a)}const y=this.extensions[a];if(y!==void 0)for(const{name:E,behavior:z}of y.values())x.push(`#extension ${E} : ${z}`);return x.join(`
`)}getClipDistance(){return"gl_ClipDistance"}isAvailable(a){let x=T6[a];if(x===void 0){let y;switch(x=!1,a){case"float32Filterable":y="OES_texture_float_linear";break;case"clipDistance":y="WEBGL_clip_cull_distance";break}if(y!==void 0){const E=this.renderer.backend.extensions;E.has(y)&&(E.get(y),x=!0)}T6[a]=x}return x}isFlipY(){return!0}enableHardwareClipping(a){this.enableExtension("GL_ANGLE_clip_cull_distance","require"),this.builtins.vertex.push(`out float gl_ClipDistance[ ${a} ]`)}enableMultiview(){this.enableExtension("GL_OVR_multiview2","require","fragment"),this.enableExtension("GL_OVR_multiview2","require","vertex"),this.builtins.vertex.push("layout(num_views = 2) in")}registerTransform(a,x){this.transforms.push({varyingName:a,attributeNode:x})}getTransforms(){const a=this.transforms;let x="";for(let y=0;y<a.length;y++){const E=a[y],z=this.getPropertyName(E.attributeNode);z&&(x+=`${E.varyingName} = ${z};
	`)}return x}_getGLSLUniformStruct(a,x){return`
layout( std140 ) uniform ${a} {
${x}
};`}_getGLSLVertexCode(a){return`#version 300 es

${this.getSignature()}

// extensions
${a.extensions}

// precision
${N6}

// uniforms
${a.uniforms}

// varyings
${a.varyings}

// attributes
${a.attributes}

// codes
${a.codes}

void main() {

	// vars
	${a.vars}

	// transforms
	${a.transforms}

	// flow
	${a.flow}

	gl_PointSize = 1.0;

}
`}_getGLSLFragmentCode(a){return`#version 300 es

${this.getSignature()}

// extensions
${a.extensions}

// precision
${N6}

// structs
${a.structs}

// uniforms
${a.uniforms}

// varyings
${a.varyings}

// codes
${a.codes}

void main() {

	// vars
	${a.vars}

	// flow
	${a.flow}

}
`}buildCode(){const a=this.material!==null?{fragment:{},vertex:{}}:{compute:{}};this.sortBindingGroups();for(const x in a){let y=`// code

`;y+=this.flowCode[x];const E=this.flowNodes[x],z=E[E.length-1];for(const te of E){const ne=this.getFlowData(te),ie=te.name;ie&&(y.length>0&&(y+=`
`),y+=`	// flow -> ${ie}
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d5(z.name,z.node,ne),ae.push(te);else if(x==="buffer"){a.name=`NodeBuffer_${a.id}`,z.name=`buffer${a.id}`;const oe=new C6(a,ne);oe.name=a.name,ae.push(oe),te=oe}else{const oe=this.uniformGroups[y]||(this.uniformGroups[y]={});let le=oe[ie];le===void 0&&(le=new P6(y+"_"+ie,ne),oe[ie]=le,ae.push(le)),te=this.getNodeUniform(z,x),le.addUniform(te)}ee.uniformGPU=te}return z}}let f5=null,Rx=null;class F6{constructor(a={}){this.parameters=Object.assign({},a),this.data=new WeakMap,this.renderer=null,this.domElement=null,this.timestampQueryPool={[Mt.RENDER]:null,[Mt.COMPUTE]:null},this.trackTimestamp=a.trackTimestamp===!0}init(a){return ca(this,null,function*(){this.renderer=a})}get coordinateSystem(){}beginRender(){}finishRender(){}beginCompute(){}finishCompute(){}draw(){}compute(){}createProgram(){}destroyProgram(){}createBindings(){}updateBindings(){}updateBinding(){}createRenderPipeline(){}createComputePipeline(){}needsRenderUpdate(){}getRenderCacheKey(){}createNodeBuilder(){}updateSampler(){}createDefaultTexture(){}createTexture(){}updateTexture(){}generateMipmaps(){}destroyTexture(){}copyTextureToBuffer(){return ca(this,null,function*(){})}copyTextureToTexture(){}copyFramebufferToTexture(){}createAttribute(){}createIndexAttribute(){}createStorageAttribute(){}updateAttribute(){}destroyAttribute(){}getContext(){}updateSize(){}updateViewport(){}updateTimeStampUID(a){const x=this.get(a),y=this.renderer.info.frame;let E;a.isComputeNode===!0?E="c:"+this.renderer.info.compute.frameCalls:E="r:"+this.renderer.info.render.frameCalls,x.timestampUID=E+":"+a.id+":f"+y}getTimestampUID(a){return this.get(a).timestampUID}getTimestampFrames(a){const x=this.timestampQueryPool[a];return x?x.getTimestampFrames():[]}_getQueryPool(a){const x=a.startsWith("c:")?Mt.COMPUTE:Mt.RENDER;return this.timestampQueryPool[x]}getTimestamp(a){return this._getQueryPool(a).getTimestamp(a)}hasTimestamp(a){return this._getQueryPool(a).hasTimestamp(a)}isOccluded(){}resolveTimestampsAsync(a="render"){return ca(this,null,function*(){if(!this.trackTimestamp){no("WebGPURenderer: Timestamp tracking is disabled.");return}const x=this.timestampQueryPool[a];if(!x)return;const y=yield x.resolveQueriesAsync();return this.renderer.info[a].timestamp=y,y})}getArrayBufferAsync(){return ca(this,null,function*(){})}hasFeatureAsync(){return ca(this,null,function*(){})}hasFeature(){}getMaxAnisotropy(){}getDrawingBufferSize(){return f5=f5||new ar,this.renderer.getDrawingBufferSize(f5)}setScissorTest(){}getClearColor(){const a=this.renderer;return Rx=Rx||new NS,a.getClearColor(Rx),Rx.getRGB(Rx),Rx}getDomElement(){let a=this.domElement;return a===null&&(a=this.parameters.canvas!==void 0?this.parameters.canvas:gs(),"setAttribute"in a&&a.setAttribute("data-engine",`three.js r${Jo} webgpu`),this.domElement=a),a}set(a,x){this.data.set(a,x)}get(a){let x=this.data.get(a);return x===void 0&&(x={},this.data.set(a,x)),x}has(a){return this.data.has(a)}delete(a){this.data.delete(a)}dispose(){}}let K$=0;class q${constructor(a,x){this.buffers=[a.bufferGPU,x],this.type=a.type,this.bufferType=a.bufferType,this.pbo=a.pbo,this.byteLength=a.byteLength,this.bytesPerElement=a.BYTES_PER_ELEMENT,this.version=a.version,this.isInteger=a.isInteger,this.activeBufferIndex=0,this.baseId=a.id}get id(){return`${this.baseId}|${this.activeBufferIndex}`}get bufferGPU(){return this.buffers[this.activeBufferIndex]}get transformBuffer(){return this.buffers[this.activeBufferIndex^1]}switchBuffers(){this.activeBufferIndex^=1}}class _${constructor(a){this.backend=a}createAttribute(a,x){const y=this.backend,{gl:E}=y,z=a.array,ee=a.usage||E.STATIC_DRAW,te=a.isInterleavedBufferAttribute?a.data:a,ne=y.get(te);let ie=ne.bufferGPU;ie===void 0&&(ie=this._createBuffer(E,x,z,ee),ne.bufferGPU=ie,ne.bufferType=x,ne.version=te.version);let ae;if(z instanceof Float32Array)ae=E.FLOAT;else if(typeof Float16Array!="undefined"&&z instanceof Float16Array)ae=E.HALF_FLOAT;else if(z instanceof Uint16Array)a.isFloat16BufferAttribute?ae=E.HALF_FLOAT:ae=E.UNSIGNED_SHORT;else if(z instanceof Int16Array)ae=E.SHORT;else if(z instanceof Uint32Array)ae=E.UNSIGNED_INT;else if(z instanceof Int32Array)ae=E.INT;else if(z instanceof Int8Array)ae=E.BYTE;else if(z instanceof Uint8Array)ae=E.UNSIGNED_BYTE;else if(z instanceof Uint8ClampedArray)ae=E.UNSIGNED_BYTE;else throw new Error("THREE.WebGLBackend: Unsupported buffer data format: "+z);let oe={bufferGPU:ie,bufferType:x,type:ae,byteLength:z.byteLength,bytesPerElement:z.BYTES_PER_ELEMENT,version:a.version,pbo:a.pbo,isInteger:ae===E.INT||ae===E.UNSIGNED_INT||a.gpuType===pu,id:K$++};if(a.isStorageBufferAttribute||a.isStorageInstancedBufferAttribute){const le=this._createBuffer(E,x,z,ee);oe=new q$(oe,le)}y.set(a,oe)}updateAttribute(a){const x=this.backend,{gl:y}=x,E=a.array,z=a.isInterleavedBufferAttribute?a.data:a,ee=x.get(z),te=ee.bufferType,ne=a.isInterleavedBufferAttribute?a.data.updateRanges:a.updateRanges;if(y.bindBuffer(te,ee.bufferGPU),ne.length===0)y.bufferSubData(te,0,E);else{for(let ie=0,ae=ne.length;ie<ae;ie++){const oe=ne[ie];y.bufferSubData(te,oe.start*E.BYTES_PER_ELEMENT,E,oe.start,oe.count)}z.clearUpdateRanges()}y.bindBuffer(te,null),ee.version=z.version}destroyAttribute(a){const x=this.backend,{gl:y}=x;a.isInterleavedBufferAttribute&&x.delete(a.data);const E=x.get(a);y.deleteBuffer(E.bufferGPU),x.delete(a)}getArrayBufferAsync(a){return ca(this,null,function*(){const x=this.backend,{gl:y}=x,E=a.isInterleavedBufferAttribute?a.data:a,{bufferGPU:z}=x.get(E),ee=a.array,te=ee.byteLength;y.bindBuffer(y.COPY_READ_BUFFER,z);const ne=y.createBuffer();y.bindBuffer(y.COPY_WRITE_BUFFER,ne),y.bufferData(y.COPY_WRITE_BUFFER,te,y.STREAM_READ),y.copyBufferSubData(y.COPY_READ_BUFFER,y.COPY_WRITE_BUFFER,0,0,te),yield x.utils._clientWaitAsync();const ie=new a.array.constructor(ee.length);return y.bindBuffer(y.COPY_WRITE_BUFFER,ne),y.getBufferSubData(y.COPY_WRITE_BUFFER,0,ie),y.deleteBuffer(ne),y.bindBuffer(y.COPY_READ_BUFFER,null),y.bindBuffer(y.COPY_WRITE_BUFFER,null),ie.buffer})}_createBuffer(a,x,y,E){const z=a.createBuffer();return a.bindBuffer(x,z),a.bufferData(x,y,E),a.bindBuffer(x,null),z}}let h5,e1;class $${constructor(a){this.backend=a,this.gl=this.backend.gl,this.enabled={},this.currentFlipSided=null,this.currentCullFace=null,this.currentProgram=null,this.currentBlendingEnabled=!1,this.currentBlending=null,this.currentBlendSrc=null,this.currentBlendDst=null,this.currentBlendSrcAlpha=null,this.currentBlendDstAlpha=null,this.currentPremultipledAlpha=null,this.currentPolygonOffsetFactor=null,this.currentPolygonOffsetUnits=null,this.currentColorMask=null,this.currentDepthFunc=null,this.currentDepthMask=null,this.currentStencilFunc=null,this.currentStencilRef=null,this.currentStencilFuncMask=null,this.currentStencilFail=null,this.currentStencilZFail=null,this.currentStencilZPass=null,this.currentStencilMask=null,this.currentLineWidth=null,this.currentClippingPlanes=0,this.currentVAO=null,this.currentIndex=null,this.currentBoundFramebuffers={},this.currentDrawbuffers=new WeakMap,this.maxTextures=this.gl.getParameter(this.gl.MAX_TEXTURE_IMAGE_UNITS),this.currentTextureSlot=null,this.currentBoundTextures={},this.currentBoundBufferBases={},this._init()}_init(){const a=this.gl;h5={[uu]:a.FUNC_ADD,[Dl]:a.FUNC_SUBTRACT,[Pc]:a.FUNC_REVERSE_SUBTRACT},e1={[Sc]:a.ZERO,[Ud]:a.ONE,[Hc]:a.SRC_COLOR,[td]:a.SRC_ALPHA,[Hh]:a.SRC_ALPHA_SATURATE,[rd]:a.DST_COLOR,[Mc]:a.DST_ALPHA,[kh]:a.ONE_MINUS_SRC_COLOR,[Bc]:a.ONE_MINUS_SRC_ALPHA,[rh]:a.ONE_MINUS_DST_COLOR,[nd]:a.ONE_MINUS_DST_ALPHA};const x=a.getParameter(a.SCISSOR_BOX),y=a.getParameter(a.VIEWPORT);this.currentScissor=new la().fromArray(x),this.currentViewport=new la().fromArray(y),this._tempVec4=new la}enable(a){const{enabled:x}=this;x[a]!==!0&&(this.gl.enable(a),x[a]=!0)}disable(a){const{enabled:x}=this;x[a]!==!1&&(this.gl.disable(a),x[a]=!1)}setFlipSided(a){if(this.currentFlipSided!==a){const{gl:x}=this;a?x.frontFace(x.CW):x.frontFace(x.CCW),this.currentFlipSided=a}}setCullFace(a){const{gl:x}=this;a!==ff?(this.enable(x.CULL_FACE),a!==this.currentCullFace&&(a===ou?x.cullFace(x.BACK):a===ed?x.cullFace(x.FRONT):x.cullFace(x.FRONT_AND_BACK))):this.disable(x.CULL_FACE),this.currentCullFace=a}setLineWidth(a){const{currentLineWidth:x,gl:y}=this;a!==x&&(y.lineWidth(a),this.currentLineWidth=a)}setBlending(a,x,y,E,z,ee,te,ne){const{gl:ie}=this;if(a===tu){this.currentBlendingEnabled===!0&&(this.disable(ie.BLEND),this.currentBlendingEnabled=!1);return}if(this.currentBlendingEnabled===!1&&(this.enable(ie.BLEND),this.currentBlendingEnabled=!0),a!==hf){if(a!==this.currentBlending||ne!==this.currentPremultipledAlpha){if((this.currentBlendEquation!==uu||this.currentBlendEquationAlpha!==uu)&&(ie.blendEquation(ie.FUNC_ADD),this.currentBlendEquation=uu,this.currentBlendEquationAlpha=uu),ne)switch(a){case cc:ie.blendFuncSeparate(ie.ONE,ie.ONE_MINUS_SRC_ALPHA,ie.ONE,ie.ONE_MINUS_SRC_ALPHA);break;case Hd:ie.blendFunc(ie.ONE,ie.ONE);break;case xl:ie.blendFuncSeparate(ie.ZERO,ie.ONE_MINUS_SRC_COLOR,ie.ZERO,ie.ONE);break;case Gu:ie.blendFuncSeparate(ie.DST_COLOR,ie.ONE_MINUS_SRC_ALPHA,ie.ZERO,ie.ONE);break;default:cr("WebGLState: Invalid blending: ",a);break}else switch(a){case cc:ie.blendFuncSeparate(ie.SRC_ALPHA,ie.ONE_MINUS_SRC_ALPHA,ie.ONE,ie.ONE_MINUS_SRC_ALPHA);break;case Hd:ie.blendFuncSeparate(ie.SRC_ALPHA,ie.ONE,ie.ONE,ie.ONE);break;case xl:cr("WebGLState: SubtractiveBlending requires material.premultipliedAlpha = true");break;case Gu:cr("WebGLState: MultiplyBlending requires material.premultipliedAlpha = true");break;default:cr("WebGLState: Invalid blending: ",a);break}this.currentBlendSrc=null,this.currentBlendDst=null,this.currentBlendSrcAlpha=null,this.currentBlendDstAlpha=null,this.currentBlending=a,this.currentPremultipledAlpha=ne}return}z=z||x,ee=ee||y,te=te||E,(x!==this.currentBlendEquation||z!==this.currentBlendEquationAlpha)&&(ie.blendEquationSeparate(h5[x],h5[z]),this.currentBlendEquation=x,this.currentBlendEquationAlpha=z),(y!==this.currentBlendSrc||E!==this.currentBlendDst||ee!==this.currentBlendSrcAlpha||te!==this.currentBlendDstAlpha)&&(ie.blendFuncSeparate(e1[y],e1[E],e1[ee],e1[te]),this.currentBlendSrc=y,this.currentBlendDst=E,this.currentBlendSrcAlpha=ee,this.currentBlendDstAlpha=te),this.currentBlending=a,this.currentPremultipledAlpha=!1}setColorMask(a){this.currentColorMask!==a&&(this.gl.colorMask(a,a,a,a),this.currentColorMask=a)}setDepthTest(a){const{gl:x}=this;a?this.enable(x.DEPTH_TEST):this.disable(x.DEPTH_TEST)}setDepthMask(a){this.currentDepthMask!==a&&(this.gl.depthMask(a),this.currentDepthMask=a)}setDepthFunc(a){if(this.currentDepthFunc!==a){const{gl:x}=this;switch(a){case Ad:x.depthFunc(x.NEVER);break;case Ff:x.depthFunc(x.ALWAYS);break;case jd:x.depthFunc(x.LESS);break;case xd:x.depthFunc(x.LEQUAL);break;case Tc:x.depthFunc(x.EQUAL);break;case Uc:x.depthFunc(x.GEQUAL);break;case yd:x.depthFunc(x.GREATER);break;case oh:x.depthFunc(x.NOTEQUAL);break;default:x.depthFunc(x.LEQUAL)}this.currentDepthFunc=a}}scissor(a,x,y,E){const z=this._tempVec4.set(a,x,y,E);if(this.currentScissor.equals(z)===!1){const{gl:ee}=this;ee.scissor(z.x,z.y,z.z,z.w),this.currentScissor.copy(z)}}viewport(a,x,y,E){const z=this._tempVec4.set(a,x,y,E);if(this.currentViewport.equals(z)===!1){const{gl:ee}=this;ee.viewport(z.x,z.y,z.z,z.w),this.currentViewport.copy(z)}}setScissorTest(a){const x=this.gl;a?x.enable(x.SCISSOR_TEST):x.disable(x.SCISSOR_TEST)}setStencilTest(a){const{gl:x}=this;a?this.enable(x.STENCIL_TEST):this.disable(x.STENCIL_TEST)}setStencilMask(a){this.currentStencilMask!==a&&(this.gl.stencilMask(a),this.currentStencilMask=a)}setStencilFunc(a,x,y){(this.currentStencilFunc!==a||this.currentStencilRef!==x||this.currentStencilFuncMask!==y)&&(this.gl.stencilFunc(a,x,y),this.currentStencilFunc=a,this.currentStencilRef=x,this.currentStencilFuncMask=y)}setStencilOp(a,x,y){(this.currentStencilFail!==a||this.currentStencilZFail!==x||this.currentStencilZPass!==y)&&(this.gl.stencilOp(a,x,y),this.currentStencilFail=a,this.currentStencilZFail=x,this.currentStencilZPass=y)}setMaterial(a,x,y){const{gl:E}=this;a.side===Ko?this.disable(E.CULL_FACE):this.enable(E.CULL_FACE);let z=a.side===co;x&&(z=!z),this.setFlipSided(z),a.blending===cc&&a.transparent===!1?this.setBlending(tu):this.setBlending(a.blending,a.blendEquation,a.blendSrc,a.blendDst,a.blendEquationAlpha,a.blendSrcAlpha,a.blendDstAlpha,a.premultipliedAlpha),this.setDepthFunc(a.depthFunc),this.setDepthTest(a.depthTest),this.setDepthMask(a.depthWrite),this.setColorMask(a.colorWrite);const ee=a.stencilWrite;if(this.setStencilTest(ee),ee&&(this.setStencilMask(a.stencilWriteMask),this.setStencilFunc(a.stencilFunc,a.stencilRef,a.stencilFuncMask),this.setStencilOp(a.stencilFail,a.stencilZFail,a.stencilZPass)),this.setPolygonOffset(a.polygonOffset,a.polygonOffsetFactor,a.polygonOffsetUnits),a.alphaToCoverage===!0&&this.backend.renderer.currentSamples>0?this.enable(E.SAMPLE_ALPHA_TO_COVERAGE):this.disable(E.SAMPLE_ALPHA_TO_COVERAGE),y>0&&this.currentClippingPlanes!==y)for(let ne=0;ne<8;ne++)ne<y?this.enable(12288+ne):this.disable(12288+ne)}setPolygonOffset(a,x,y){const{gl:E}=this;a?(this.enable(E.POLYGON_OFFSET_FILL),(this.currentPolygonOffsetFactor!==x||this.currentPolygonOffsetUnits!==y)&&(E.polygonOffset(x,y),this.currentPolygonOffsetFactor=x,this.currentPolygonOffsetUnits=y)):this.disable(E.POLYGON_OFFSET_FILL)}useProgram(a){return this.currentProgram!==a?(this.gl.useProgram(a),this.currentProgram=a,!0):!1}setVertexState(a,x=null){const y=this.gl;return this.currentVAO!==a||this.currentIndex!==x?(y.bindVertexArray(a),x!==null&&y.bindBuffer(y.ELEMENT_ARRAY_BUFFER,x),this.currentVAO=a,this.currentIndex=x,!0):!1}resetVertexState(){const a=this.gl;a.bindVertexArray(null),a.bindBuffer(a.ELEMENT_ARRAY_BUFFER,null),this.currentVAO=null,this.currentIndex=null}bindFramebuffer(a,x){const{gl:y,currentBoundFramebuffers:E}=this;return E[a]!==x?(y.bindFramebuffer(a,x),E[a]=x,a===y.DRAW_FRAMEBUFFER&&(E[y.FRAMEBUFFER]=x),a===y.FRAMEBUFFER&&(E[y.DRAW_FRAMEBUFFER]=x),!0):!1}drawBuffers(a,x){const{gl:y}=this;let E=[],z=!1;if(a.textures!==null){E=this.currentDrawbuffers.get(x),E===void 0&&(E=[],this.currentDrawbuffers.set(x,E));const ee=a.textures;if(E.length!==ee.length||E[0]!==y.COLOR_ATTACHMENT0){for(let te=0,ne=ee.length;te<ne;te++)E[te]=y.COLOR_ATTACHMENT0+te;E.length=ee.length,z=!0}}else E[0]!==y.BACK&&(E[0]=y.BACK,z=!0);z&&y.drawBuffers(E)}activeTexture(a){const{gl:x,currentTextureSlot:y,maxTextures:E}=this;a===void 0&&(a=x.TEXTURE0+E-1),y!==a&&(x.activeTexture(a),this.currentTextureSlot=a)}bindTexture(a,x,y){const{gl:E,currentTextureSlot:z,currentBoundTextures:ee,maxTextures:te}=this;y===void 0&&(z===null?y=E.TEXTURE0+te-1:y=z);let ne=ee[y];ne===void 0&&(ne={type:void 0,texture:void 0},ee[y]=ne),(ne.type!==a||ne.texture!==x)&&(z!==y&&(E.activeTexture(y),this.currentTextureSlot=y),E.bindTexture(a,x),ne.type=a,ne.texture=x)}bindBufferBase(a,x,y){const{gl:E}=this,z=`${a}-${x}`;return this.currentBoundBufferBases[z]!==y?(E.bindBufferBase(a,x,y),this.currentBoundBufferBases[z]=y,!0):!1}unbindTexture(){const{gl:a,currentTextureSlot:x,currentBoundTextures:y}=this,E=y[x];E!==void 0&&E.type!==void 0&&(a.bindTexture(E.type,null),E.type=void 0,E.texture=void 0)}}class eee{constructor(a){this.backend=a,this.gl=this.backend.gl,this.extensions=a.extensions}convert(a,x=Je){const{gl:y,extensions:E}=this;let z;const ee=ba.getTransfer(x);if(a===yl)return y.UNSIGNED_BYTE;if(a===wg)return y.UNSIGNED_SHORT_4_4_4_4;if(a===Cg)return y.UNSIGNED_SHORT_5_5_5_1;if(a===ym)return y.UNSIGNED_INT_5_9_9_9_REV;if(a===Pg)return y.UNSIGNED_INT_10F_11F_11F_REV;if(a===Uh)return y.BYTE;if(a===dh)return y.SHORT;if(a===Xd)return y.UNSIGNED_SHORT;if(a===pu)return y.INT;if(a===fl)return y.UNSIGNED_INT;if(a===zl)return y.FLOAT;if(a===bl)return y.HALF_FLOAT;if(a===cv)return y.ALPHA;if(a===bm)return y.RGB;if(a===El)return y.RGBA;if(a===Ed)return y.DEPTH_COMPONENT;if(a===jc)return y.DEPTH_STENCIL;if(a===Lf)return y.RED;if(a===gf)return y.RED_INTEGER;if(a===vf)return y.RG;if(a===Np)return y.RG_INTEGER;if(a===Fp)return y.RGBA_INTEGER;if(a===jh||a===Vh||a===fh||a===Gh)if(ee===kt)if(z=E.get("WEBGL_compressed_texture_s3tc_srgb"),z!==null){if(a===jh)return z.COMPRESSED_SRGB_S3TC_DXT1_EXT;if(a===Vh)return z.COMPRESSED_SRGB_ALPHA_S3TC_DXT1_EXT;if(a===fh)return z.COMPRESSED_SRGB_ALPHA_S3TC_DXT3_EXT;if(a===Gh)return z.COMPRESSED_SRGB_ALPHA_S3TC_DXT5_EXT}else return null;else if(z=E.get("WEBGL_compressed_texture_s3tc"),z!==null){if(a===jh)return z.COMPRESSED_RGB_S3TC_DXT1_EXT;if(a===Vh)return z.COMPRESSED_RGBA_S3TC_DXT1_EXT;if(a===fh)return z.COMPRESSED_RGBA_S3TC_DXT3_EXT;if(a===Gh)return z.COMPRESSED_RGBA_S3TC_DXT5_EXT}else return null;if(a===hh||a===Em||a===Xh||a===wm)if(z=E.get("WEBGL_compressed_texture_pvrtc"),z!==null){if(a===hh)return z.COMPRESSED_RGB_PVRTC_4BPPV1_IMG;if(a===Em)return z.COMPRESSED_RGB_PVRTC_2BPPV1_IMG;if(a===Xh)return z.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG;if(a===wm)return z.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG}else return null;if(a===Cm||a===Pm||a===Af)if(z=E.get("WEBGL_compressed_texture_etc"),z!==null){if(a===Cm||a===Pm)return ee===kt?z.COMPRESSED_SRGB8_ETC2:z.COMPRESSED_RGB8_ETC2;if(a===Af)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ETC2_EAC:z.COMPRESSED_RGBA8_ETC2_EAC}else return null;if(a===ph||a===mh||a===Sm||a===Bm||a===Lp||a===el||a===Rp||a===Wh||a===xf||a===Vc||a===yf||a===Qh||a===Op||a===zp)if(z=E.get("WEBGL_compressed_texture_astc"),z!==null){if(a===ph)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_4x4_KHR:z.COMPRESSED_RGBA_ASTC_4x4_KHR;if(a===mh)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_5x4_KHR:z.COMPRESSED_RGBA_ASTC_5x4_KHR;if(a===Sm)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_5x5_KHR:z.COMPRESSED_RGBA_ASTC_5x5_KHR;if(a===Bm)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_6x5_KHR:z.COMPRESSED_RGBA_ASTC_6x5_KHR;if(a===Lp)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_6x6_KHR:z.COMPRESSED_RGBA_ASTC_6x6_KHR;if(a===el)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_8x5_KHR:z.COMPRESSED_RGBA_ASTC_8x5_KHR;if(a===Rp)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_8x6_KHR:z.COMPRESSED_RGBA_ASTC_8x6_KHR;if(a===Wh)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_8x8_KHR:z.COMPRESSED_RGBA_ASTC_8x8_KHR;if(a===xf)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_10x5_KHR:z.COMPRESSED_RGBA_ASTC_10x5_KHR;if(a===Vc)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_10x6_KHR:z.COMPRESSED_RGBA_ASTC_10x6_KHR;if(a===yf)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_10x8_KHR:z.COMPRESSED_RGBA_ASTC_10x8_KHR;if(a===Qh)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_10x10_KHR:z.COMPRESSED_RGBA_ASTC_10x10_KHR;if(a===Op)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_12x10_KHR:z.COMPRESSED_RGBA_ASTC_12x10_KHR;if(a===zp)return ee===kt?z.COMPRESSED_SRGB8_ALPHA8_ASTC_12x12_KHR:z.COMPRESSED_RGBA_ASTC_12x12_KHR}else return null;if(a===kp)if(z=E.get("EXT_texture_compression_bptc"),z!==null){if(a===kp)return ee===kt?z.COMPRESSED_SRGB_ALPHA_BPTC_UNORM_EXT:z.COMPRESSED_RGBA_BPTC_UNORM_EXT}else return null;if(a===Mm||a===gh||a===Rf||a===bo)if(z=E.get("EXT_texture_compression_rgtc"),z!==null){if(a===Mm)return z.COMPRESSED_RED_RGTC1_EXT;if(a===gh)return z.COMPRESSED_SIGNED_RED_RGTC1_EXT;if(a===Rf)return z.COMPRESSED_RED_GREEN_RGTC2_EXT;if(a===bo)return z.COMPRESSED_SIGNED_RED_GREEN_RGTC2_EXT}else return null;return a===id?y.UNSIGNED_INT_24_8:y[a]!==void 0?y[a]:null}_clientWaitAsync(){const{gl:a}=this,x=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);return a.flush(),new Promise((y,E)=>{function z(){const ee=a.clientWaitSync(x,a.SYNC_FLUSH_COMMANDS_BIT,0);if(ee===a.WAIT_FAILED){a.deleteSync(x),E();return}if(ee===a.TIMEOUT_EXPIRED){requestAnimationFrame(z);return}a.deleteSync(x),y()}z()})}}let L6=!1,_w,p5,R6;class tee{constructor(a){this.backend=a,this.gl=a.gl,this.extensions=a.extensions,this.defaultTextures={},this._srcFramebuffer=null,this._dstFramebuffer=null,L6===!1&&(this._init(),L6=!0)}_init(){const a=this.gl;_w={[Ru]:a.REPEAT,[Xu]:a.CLAMP_TO_EDGE,[uh]:a.MIRRORED_REPEAT},p5={[Do]:a.NEAREST,[xm]:a.NEAREST_MIPMAP_NEAREST,[mf]:a.NEAREST_MIPMAP_LINEAR,[Co]:a.LINEAR,[ch]:a.LINEAR_MIPMAP_NEAREST,[Wu]:a.LINEAR_MIPMAP_LINEAR},R6={[fc]:a.NEVER,[Of]:a.ALWAYS,[mu]:a.LESS,[kl]:a.LEQUAL,[Jl]:a.EQUAL,[Yh]:a.GEQUAL,[Hl]:a.GREATER,[hc]:a.NOTEQUAL}}getGLTextureType(a){const{gl:x}=this;let y;return a.isCubeTexture===!0?y=x.TEXTURE_CUBE_MAP:a.isArrayTexture===!0||a.isDataArrayTexture===!0||a.isCompressedArrayTexture===!0?y=x.TEXTURE_2D_ARRAY:a.isData3DTexture===!0?y=x.TEXTURE_3D:y=x.TEXTURE_2D,y}getInternalFormat(a,x,y,E,z=!1){const{gl:ee,extensions:te}=this;if(a!==null){if(ee[a]!==void 0)return ee[a];wn("WebGLBackend: Attempt to use non-existing WebGL internal format '"+a+"'")}let ne=x;if(x===ee.RED&&(y===ee.FLOAT&&(ne=ee.R32F),y===ee.HALF_FLOAT&&(ne=ee.R16F),y===ee.UNSIGNED_BYTE&&(ne=ee.R8),y===ee.UNSIGNED_SHORT&&(ne=ee.R16),y===ee.UNSIGNED_INT&&(ne=ee.R32UI),y===ee.BYTE&&(ne=ee.R8I),y===ee.SHORT&&(ne=ee.R16I),y===ee.INT&&(ne=ee.R32I)),x===ee.RED_INTEGER&&(y===ee.UNSIGNED_BYTE&&(ne=ee.R8UI),y===ee.UNSIGNED_SHORT&&(ne=ee.R16UI),y===ee.UNSIGNED_INT&&(ne=ee.R32UI),y===ee.BYTE&&(ne=ee.R8I),y===ee.SHORT&&(ne=ee.R16I),y===ee.INT&&(ne=ee.R32I)),x===ee.RG&&(y===ee.FLOAT&&(ne=ee.RG32F),y===ee.HALF_FLOAT&&(ne=ee.RG16F),y===ee.UNSIGNED_BYTE&&(ne=ee.RG8),y===ee.UNSIGNED_SHORT&&(ne=ee.RG16),y===ee.UNSIGNED_INT&&(ne=ee.RG32UI),y===ee.BYTE&&(ne=ee.RG8I),y===ee.SHORT&&(ne=ee.RG16I),y===ee.INT&&(ne=ee.RG32I)),x===ee.RG_INTEGER&&(y===ee.UNSIGNED_BYTE&&(ne=ee.RG8UI),y===ee.UNSIGNED_SHORT&&(ne=ee.RG16UI),y===ee.UNSIGNED_INT&&(ne=ee.RG32UI),y===ee.BYTE&&(ne=ee.RG8I),y===ee.SHORT&&(ne=ee.RG16I),y===ee.INT&&(ne=ee.RG32I)),x===ee.RGB){const ie=z?Pn:ba.getTransfer(E);y===ee.FLOAT&&(ne=ee.RGB32F),y===ee.HALF_FLOAT&&(ne=ee.RGB16F),y===ee.UNSIGNED_BYTE&&(ne=ee.RGB8),y===ee.UNSIGNED_SHORT&&(ne=ee.RGB16),y===ee.UNSIGNED_INT&&(ne=ee.RGB32UI),y===ee.BYTE&&(ne=ee.RGB8I),y===ee.SHORT&&(ne=ee.RGB16I),y===ee.INT&&(ne=ee.RGB32I),y===ee.UNSIGNED_BYTE&&(ne=ie===kt?ee.SRGB8:ee.RGB8),y===ee.UNSIGNED_SHORT_5_6_5&&(ne=ee.RGB565),y===ee.UNSIGNED_SHORT_5_5_5_1&&(ne=ee.RGB5_A1),y===ee.UNSIGNED_SHORT_4_4_4_4&&(ne=ee.RGB4),y===ee.UNSIGNED_INT_5_9_9_9_REV&&(ne=ee.RGB9_E5),y===ee.UNSIGNED_INT_10F_11F_11F_REV&&(ne=ee.R11F_G11F_B10F)}if(x===ee.RGB_INTEGER&&(y===ee.UNSIGNED_BYTE&&(ne=ee.RGB8UI),y===ee.UNSIGNED_SHORT&&(ne=ee.RGB16UI),y===ee.UNSIGNED_INT&&(ne=ee.RGB32UI),y===ee.BYTE&&(ne=ee.RGB8I),y===ee.SHORT&&(ne=ee.RGB16I),y===ee.INT&&(ne=ee.RGB32I)),x===ee.RGBA){const ie=z?Pn:ba.getTransfer(E);y===ee.FLOAT&&(ne=ee.RGBA32F),y===ee.HALF_FLOAT&&(ne=ee.RGBA16F),y===ee.UNSIGNED_BYTE&&(ne=ee.RGBA8),y===ee.UNSIGNED_SHORT&&(ne=ee.RGBA16),y===ee.UNSIGNED_INT&&(ne=ee.RGBA32UI),y===ee.BYTE&&(ne=ee.RGBA8I),y===ee.SHORT&&(ne=ee.RGBA16I),y===ee.INT&&(ne=ee.RGBA32I),y===ee.UNSIGNED_BYTE&&(ne=ie===kt?ee.SRGB8_ALPHA8:ee.RGBA8),y===ee.UNSIGNED_SHORT_4_4_4_4&&(ne=ee.RGBA4),y===ee.UNSIGNED_SHORT_5_5_5_1&&(ne=ee.RGB5_A1)}return x===ee.RGBA_INTEGER&&(y===ee.UNSIGNED_BYTE&&(ne=ee.RGBA8UI),y===ee.UNSIGNED_SHORT&&(ne=ee.RGBA16UI),y===ee.UNSIGNED_INT&&(ne=ee.RGBA32UI),y===ee.BYTE&&(ne=ee.RGBA8I),y===ee.SHORT&&(ne=ee.RGBA16I),y===ee.INT&&(ne=ee.RGBA32I)),x===ee.DEPTH_COMPONENT&&(y===ee.UNSIGNED_SHORT&&(ne=ee.DEPTH_COMPONENT16),y===ee.UNSIGNED_INT&&(ne=ee.DEPTH_COMPONENT24),y===ee.FLOAT&&(ne=ee.DEPTH_COMPONENT32F)),x===ee.DEPTH_STENCIL&&y===ee.UNSIGNED_INT_24_8&&(ne=ee.DEPTH24_STENCIL8),(ne===ee.R16F||ne===ee.R32F||ne===ee.RG16F||ne===ee.RG32F||ne===ee.RGBA16F||ne===ee.RGBA32F)&&te.get("EXT_color_buffer_float"),ne}setTextureParameters(a,x){const{gl:y,extensions:E,backend:z}=this,ee=ba.getPrimaries(ba.workingColorSpace),te=x.colorSpace===Je?null:ba.getPrimaries(x.colorSpace),ne=x.colorSpace===Je||ee===te?y.NONE:y.BROWSER_DEFAULT_WEBGL;y.pixelStorei(y.UNPACK_FLIP_Y_WEBGL,x.flipY),y.pixelStorei(y.UNPACK_PREMULTIPLY_ALPHA_WEBGL,x.premultiplyAlpha),y.pixelStorei(y.UNPACK_ALIGNMENT,x.unpackAlignment),y.pixelStorei(y.UNPACK_COLORSPACE_CONVERSION_WEBGL,ne),y.texParameteri(a,y.TEXTURE_WRAP_S,_w[x.wrapS]),y.texParameteri(a,y.TEXTURE_WRAP_T,_w[x.wrapT]),(a===y.TEXTURE_3D||a===y.TEXTURE_2D_ARRAY)&&(x.isArrayTexture||y.texParameteri(a,y.TEXTURE_WRAP_R,_w[x.wrapR])),y.texParameteri(a,y.TEXTURE_MAG_FILTER,p5[x.magFilter]);const ie=x.mipmaps!==void 0&&x.mipmaps.length>0,ae=x.minFilter===Co&&ie?Wu:x.minFilter;if(y.texParameteri(a,y.TEXTURE_MIN_FILTER,p5[ae]),x.compareFunction&&(y.texParameteri(a,y.TEXTURE_COMPARE_MODE,y.COMPARE_REF_TO_TEXTURE),y.texParameteri(a,y.TEXTURE_COMPARE_FUNC,R6[x.compareFunction])),E.has("EXT_texture_filter_anisotropic")===!0){if(x.magFilter===Do||x.minFilter!==mf&&x.minFilter!==Wu||x.type===zl&&E.has("OES_texture_float_linear")===!1)return;if(x.anisotropy>1){const oe=E.get("EXT_texture_filter_anisotropic");y.texParameterf(a,oe.TEXTURE_MAX_ANISOTROPY_EXT,Math.min(x.anisotropy,z.getMaxAnisotropy()))}}}createDefaultTexture(a){const{gl:x,backend:y,defaultTextures:E}=this,z=this.getGLTextureType(a);let ee=E[z];ee===void 0&&(ee=x.createTexture(),y.state.bindTexture(z,ee),x.texParameteri(z,x.TEXTURE_MIN_FILTER,x.NEAREST),x.texParameteri(z,x.TEXTURE_MAG_FILTER,x.NEAREST),E[z]=ee),y.set(a,{textureGPU:ee,glTextureType:z})}createTexture(a,x){const{gl:y,backend:E}=this,{levels:z,width:ee,height:te,depth:ne}=x,ie=E.utils.convert(a.format,a.colorSpace),ae=E.utils.convert(a.type),oe=this.getInternalFormat(a.internalFormat,ie,ae,a.colorSpace,a.isVideoTexture),le=y.createTexture(),ue=this.getGLTextureType(a);E.state.bindTexture(ue,le),this.setTextureParameters(ue,a),a.isArrayTexture||a.isDataArrayTexture||a.isCompressedArrayTexture?y.texStorage3D(y.TEXTURE_2D_ARRAY,z,oe,ee,te,ne):a.isData3DTexture?y.texStorage3D(y.TEXTURE_3D,z,oe,ee,te,ne):a.isVideoTexture||y.texStorage2D(ue,z,oe,ee,te),E.set(a,{textureGPU:le,glTextureType:ue,glFormat:ie,glType:ae,glInternalFormat:oe})}copyBufferToTexture(a,x){const{gl:y,backend:E}=this,{textureGPU:z,glTextureType:ee,glFormat:te,glType:ne}=E.get(x),{width:ie,height:ae}=x.source.data;y.bindBuffer(y.PIXEL_UNPACK_BUFFER,a),E.state.bindTexture(ee,z),y.pixelStorei(y.UNPACK_FLIP_Y_WEBGL,!1),y.pixelStorei(y.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!1),y.texSubImage2D(ee,0,0,0,ie,ae,te,ne,0),y.bindBuffer(y.PIXEL_UNPACK_BUFFER,null),E.state.unbindTexture()}updateTexture(a,x){const{gl:y}=this,{width:E,height:z}=x,{textureGPU:ee,glTextureType:te,glFormat:ne,glType:ie,glInternalFormat:ae}=this.backend.get(a);if(!(a.isRenderTargetTexture||ee===void 0))if(this.backend.state.bindTexture(te,ee),this.setTextureParameters(te,a),a.isCompressedTexture){const oe=a.mipmaps,le=x.image;for(let ue=0;ue<oe.length;ue++){const he=oe[ue];a.isCompressedArrayTexture?a.format!==y.RGBA?ne!==null?y.compressedTexSubImage3D(y.TEXTURE_2D_ARRAY,ue,0,0,0,he.width,he.height,le.depth,ne,he.data):wn("WebGLBackend: Attempt to load unsupported compressed texture format in .uploadTexture()"):y.texSubImage3D(y.TEXTURE_2D_ARRAY,ue,0,0,0,he.width,he.height,le.depth,ne,ie,he.data):ne!==null?y.compressedTexSubImage2D(y.TEXTURE_2D,ue,0,0,he.width,he.height,ne,he.data):wn("WebGLBackend: Unsupported compressed texture format")}}else if(a.isCubeTexture){const oe=x.images,le=a.mipmaps;for(let ue=0;ue<6;ue++){const he=$w(oe[ue]);y.texSubImage2D(y.TEXTURE_CUBE_MAP_POSITIVE_X+ue,0,0,0,E,z,ne,ie,he);for(let xe=0;xe<le.length;xe++){const ve=le[xe],me=$w(ve.images[ue]);y.texSubImage2D(y.TEXTURE_CUBE_MAP_POSITIVE_X+ue,xe+1,0,0,me.width,me.height,ne,ie,me)}}}else if(a.isDataArrayTexture||a.isArrayTexture){const oe=x.image;if(a.layerUpdates.size>0){const le=yE(oe.width,oe.height,a.format,a.type);for(const ue of a.layerUpdates){const he=oe.data.subarray(ue*le/oe.data.BYTES_PER_ELEMENT,(ue+1)*le/oe.data.BYTES_PER_ELEMENT);y.texSubImage3D(y.TEXTURE_2D_ARRAY,0,0,0,ue,oe.width,oe.height,1,ne,ie,he)}a.clearLayerUpdates()}else y.texSubImage3D(y.TEXTURE_2D_ARRAY,0,0,0,0,oe.width,oe.height,oe.depth,ne,ie,oe.data)}else if(a.isData3DTexture){const oe=x.image;y.texSubImage3D(y.TEXTURE_3D,0,0,0,0,oe.width,oe.height,oe.depth,ne,ie,oe.data)}else if(a.isVideoTexture)a.update(),y.texImage2D(te,0,ae,ne,ie,x.image);else{const oe=a.mipmaps;if(oe.length>0)for(let le=0,ue=oe.length;le<ue;le++){const he=oe[le],xe=$w(he);y.texSubImage2D(te,le,0,0,he.width,he.height,ne,ie,xe)}else{const le=$w(x.image);y.texSubImage2D(te,0,0,0,E,z,ne,ie,le)}}}generateMipmaps(a){const{gl:x,backend:y}=this,{textureGPU:E,glTextureType:z}=y.get(a);y.state.bindTexture(z,E),x.generateMipmap(z)}deallocateRenderBuffers(a){const{gl:x,backend:y}=this;if(a){const E=y.get(a);if(E.renderBufferStorageSetup=void 0,E.framebuffers){for(const z in E.framebuffers)x.deleteFramebuffer(E.framebuffers[z]);delete E.framebuffers}if(E.depthRenderbuffer&&(x.deleteRenderbuffer(E.depthRenderbuffer),delete E.depthRenderbuffer),E.stencilRenderbuffer&&(x.deleteRenderbuffer(E.stencilRenderbuffer),delete E.stencilRenderbuffer),E.msaaFrameBuffer&&(x.deleteFramebuffer(E.msaaFrameBuffer),delete E.msaaFrameBuffer),E.msaaRenderbuffers){for(let z=0;z<E.msaaRenderbuffers.length;z++)x.deleteRenderbuffer(E.msaaRenderbuffers[z]);delete E.msaaRenderbuffers}}}destroyTexture(a,x=!1){const{gl:y,backend:E}=this,{textureGPU:z,renderTarget:ee}=E.get(a);this.deallocateRenderBuffers(ee),x===!1&&y.deleteTexture(z),E.delete(a)}copyTextureToTexture(a,x,y=null,E=null,z=0,ee=0){const{gl:te,backend:ne}=this,{state:ie}=this.backend,{textureGPU:ae,glTextureType:oe,glType:le,glFormat:ue}=ne.get(x);ie.bindTexture(oe,ae);let he,xe,ve,me,Pe,we,Me,Le,De;const ke=a.isCompressedTexture?a.mipmaps[ee]:a.image;if(y!==null)he=y.max.x-y.min.x,xe=y.max.y-y.min.y,ve=y.isBox3?y.max.z-y.min.z:1,me=y.min.x,Pe=y.min.y,we=y.isBox3?y.min.z:0;else{const Ft=Math.pow(2,-z);he=Math.floor(ke.width*Ft),xe=Math.floor(ke.height*Ft),a.isDataArrayTexture||a.isArrayTexture?ve=ke.depth:a.isData3DTexture?ve=Math.floor(ke.depth*Ft):ve=1,me=0,Pe=0,we=0}E!==null?(Me=E.x,Le=E.y,De=E.z):(Me=0,Le=0,De=0),te.pixelStorei(te.UNPACK_FLIP_Y_WEBGL,x.flipY),te.pixelStorei(te.UNPACK_PREMULTIPLY_ALPHA_WEBGL,x.premultiplyAlpha),te.pixelStorei(te.UNPACK_ALIGNMENT,x.unpackAlignment);const ze=te.getParameter(te.UNPACK_ROW_LENGTH),He=te.getParameter(te.UNPACK_IMAGE_HEIGHT),Re=te.getParameter(te.UNPACK_SKIP_PIXELS),Fe=te.getParameter(te.UNPACK_SKIP_ROWS),$e=te.getParameter(te.UNPACK_SKIP_IMAGES);te.pixelStorei(te.UNPACK_ROW_LENGTH,ke.width),te.pixelStorei(te.UNPACK_IMAGE_HEIGHT,ke.height),te.pixelStorei(te.UNPACK_SKIP_PIXELS,me),te.pixelStorei(te.UNPACK_SKIP_ROWS,Pe),te.pixelStorei(te.UNPACK_SKIP_IMAGES,we);const pt=a.isDataArrayTexture||a.isData3DTexture||x.isArrayTexture,st=x.isDataArrayTexture||x.isData3DTexture||x.isArrayTexture;if(a.isDepthTexture){const Ft=ne.get(a),an=ne.get(x),Zn=ne.get(Ft.renderTarget),Zt=ne.get(an.renderTarget),nt=Zn.framebuffers[Ft.cacheKey],Vt=Zt.framebuffers[an.cacheKey];ie.bindFramebuffer(te.READ_FRAMEBUFFER,nt),ie.bindFramebuffer(te.DRAW_FRAMEBUFFER,Vt);for(let vt=0;vt<ve;vt++)pt&&(te.framebufferTextureLayer(te.READ_FRAMEBUFFER,te.COLOR_ATTACHMENT0,Ft.textureGPU,z,we+vt),te.framebufferTextureLayer(te.DRAW_FRAMEBUFFER,te.COLOR_ATTACHMENT0,ae,ee,De+vt)),te.blitFramebuffer(me,Pe,he,xe,Me,Le,he,xe,te.DEPTH_BUFFER_BIT,te.NEAREST);ie.bindFramebuffer(te.READ_FRAMEBUFFER,null),ie.bindFramebuffer(te.DRAW_FRAMEBUFFER,null)}else if(z!==0||a.isRenderTargetTexture||ne.has(a)){const Ft=ne.get(a);this._srcFramebuffer===null&&(this._srcFramebuffer=te.createFramebuffer()),this._dstFramebuffer===null&&(this._dstFramebuffer=te.createFramebuffer()),ie.bindFramebuffer(te.READ_FRAMEBUFFER,this._srcFramebuffer),ie.bindFramebuffer(te.DRAW_FRAMEBUFFER,this._dstFramebuffer);for(let an=0;an<ve;an++)pt?te.framebufferTextureLayer(te.READ_FRAMEBUFFER,te.COLOR_ATTACHMENT0,Ft.textureGPU,z,we+an):te.framebufferTexture2D(te.READ_FRAMEBUFFER,te.COLOR_ATTACHMENT0,te.TEXTURE_2D,Ft.textureGPU,z),st?te.framebufferTextureLayer(te.DRAW_FRAMEBUFFER,te.COLOR_ATTACHMENT0,ae,ee,De+an):te.framebufferTexture2D(te.DRAW_FRAMEBUFFER,te.COLOR_ATTACHMENT0,te.TEXTURE_2D,ae,ee),z!==0?te.blitFramebuffer(me,Pe,he,xe,Me,Le,he,xe,te.COLOR_BUFFER_BIT,te.NEAREST):st?te.copyTexSubImage3D(oe,ee,Me,Le,De+an,me,Pe,he,xe):te.copyTexSubImage2D(oe,ee,Me,Le,me,Pe,he,xe);ie.bindFramebuffer(te.READ_FRAMEBUFFER,null),ie.bindFramebuffer(te.DRAW_FRAMEBUFFER,null)}else st?a.isDataTexture||a.isData3DTexture?te.texSubImage3D(oe,ee,Me,Le,De,he,xe,ve,ue,le,ke.data):x.isCompressedArrayTexture?te.compressedTexSubImage3D(oe,ee,Me,Le,De,he,xe,ve,ue,ke.data):te.texSubImage3D(oe,ee,Me,Le,De,he,xe,ve,ue,le,ke):a.isDataTexture?te.texSubImage2D(te.TEXTURE_2D,ee,Me,Le,he,xe,ue,le,ke.data):a.isCompressedTexture?te.compressedTexSubImage2D(te.TEXTURE_2D,ee,Me,Le,ke.width,ke.height,ue,ke.data):te.texSubImage2D(te.TEXTURE_2D,ee,Me,Le,he,xe,ue,le,ke);te.pixelStorei(te.UNPACK_ROW_LENGTH,ze),te.pixelStorei(te.UNPACK_IMAGE_HEIGHT,He),te.pixelStorei(te.UNPACK_SKIP_PIXELS,Re),te.pixelStorei(te.UNPACK_SKIP_ROWS,Fe),te.pixelStorei(te.UNPACK_SKIP_IMAGES,$e),ee===0&&x.generateMipmaps&&te.generateMipmap(oe),ie.unbindTexture()}copyFramebufferToTexture(a,x,y){const{gl:E}=this,{state:z}=this.backend,{textureGPU:ee}=this.backend.get(a),{x:te,y:ne,z:ie,w:ae}=y,oe=a.isDepthTexture===!0||x.renderTarget&&x.renderTarget.samples>0,le=x.renderTarget?x.renderTarget.height:this.backend.getDrawingBufferSize().y;if(oe){const ue=te!==0||ne!==0;let he,xe;if(a.isDepthTexture===!0?(he=E.DEPTH_BUFFER_BIT,xe=E.DEPTH_ATTACHMENT,x.stencil&&(he|=E.STENCIL_BUFFER_BIT)):(he=E.COLOR_BUFFER_BIT,xe=E.COLOR_ATTACHMENT0),ue){const ve=this.backend.get(x.renderTarget),me=ve.framebuffers[x.getCacheKey()],Pe=ve.msaaFrameBuffer;z.bindFramebuffer(E.DRAW_FRAMEBUFFER,me),z.bindFramebuffer(E.READ_FRAMEBUFFER,Pe);const we=le-ne-ae;E.blitFramebuffer(te,we,te+ie,we+ae,te,we,te+ie,we+ae,he,E.NEAREST),z.bindFramebuffer(E.READ_FRAMEBUFFER,me),z.bindTexture(E.TEXTURE_2D,ee),E.copyTexSubImage2D(E.TEXTURE_2D,0,0,0,te,we,ie,ae),z.unbindTexture()}else{const ve=E.createFramebuffer();z.bindFramebuffer(E.DRAW_FRAMEBUFFER,ve),E.framebufferTexture2D(E.DRAW_FRAMEBUFFER,xe,E.TEXTURE_2D,ee,0),E.blitFramebuffer(0,0,ie,ae,0,0,ie,ae,he,E.NEAREST),E.deleteFramebuffer(ve)}}else z.bindTexture(E.TEXTURE_2D,ee),E.copyTexSubImage2D(E.TEXTURE_2D,0,0,0,te,le-ae-ne,ie,ae),z.unbindTexture();a.generateMipmaps&&this.generateMipmaps(a),this.backend._setFramebuffer(x)}setupRenderBufferStorage(a,x,y,E=!1){const{gl:z}=this,ee=x.renderTarget,{depthTexture:te,depthBuffer:ne,stencilBuffer:ie,width:ae,height:oe}=ee;if(z.bindRenderbuffer(z.RENDERBUFFER,a),ne&&!ie){let le=z.DEPTH_COMPONENT24;E===!0?this.extensions.get("WEBGL_multisampled_render_to_texture").renderbufferStorageMultisampleEXT(z.RENDERBUFFER,ee.samples,le,ae,oe):y>0?(te&&te.isDepthTexture&&te.type===z.FLOAT&&(le=z.DEPTH_COMPONENT32F),z.renderbufferStorageMultisample(z.RENDERBUFFER,y,le,ae,oe)):z.renderbufferStorage(z.RENDERBUFFER,le,ae,oe),z.framebufferRenderbuffer(z.FRAMEBUFFER,z.DEPTH_ATTACHMENT,z.RENDERBUFFER,a)}else ne&&ie&&(y>0?z.renderbufferStorageMultisample(z.RENDERBUFFER,y,z.DEPTH24_STENCIL8,ae,oe):z.renderbufferStorage(z.RENDERBUFFER,z.DEPTH_STENCIL,ae,oe),z.framebufferRenderbuffer(z.FRAMEBUFFER,z.DEPTH_STENCIL_ATTACHMENT,z.RENDERBUFFER,a));z.bindRenderbuffer(z.RENDERBUFFER,null)}copyTextureToBuffer(a,x,y,E,z,ee){return ca(this,null,function*(){const{backend:te,gl:ne}=this,{textureGPU:ie,glFormat:ae,glType:oe}=this.backend.get(a),le=ne.createFramebuffer();ne.bindFramebuffer(ne.READ_FRAMEBUFFER,le);const ue=a.isCubeTexture?ne.TEXTURE_CUBE_MAP_POSITIVE_X+ee:ne.TEXTURE_2D;ne.framebufferTexture2D(ne.READ_FRAMEBUFFER,ne.COLOR_ATTACHMENT0,ue,ie,0);const he=this._getTypedArrayType(oe),xe=this._getBytesPerTexel(oe,ae),me=E*z*xe,Pe=ne.createBuffer();ne.bindBuffer(ne.PIXEL_PACK_BUFFER,Pe),ne.bufferData(ne.PIXEL_PACK_BUFFER,me,ne.STREAM_READ),ne.readPixels(x,y,E,z,ae,oe,0),ne.bindBuffer(ne.PIXEL_PACK_BUFFER,null),yield te.utils._clientWaitAsync();const we=new he(me/he.BYTES_PER_ELEMENT);return ne.bindBuffer(ne.PIXEL_PACK_BUFFER,Pe),ne.getBufferSubData(ne.PIXEL_PACK_BUFFER,0,we),ne.bindBuffer(ne.PIXEL_PACK_BUFFER,null),ne.deleteFramebuffer(le),we})}_getTypedArrayType(a){const{gl:x}=this;if(a===x.UNSIGNED_BYTE)return Uint8Array;if(a===x.UNSIGNED_SHORT_4_4_4_4||a===x.UNSIGNED_SHORT_5_5_5_1||a===x.UNSIGNED_SHORT_5_6_5||a===x.UNSIGNED_SHORT)return Uint16Array;if(a===x.UNSIGNED_INT)return Uint32Array;if(a===x.HALF_FLOAT)return Uint16Array;if(a===x.FLOAT)return Float32Array;throw new Error(`Unsupported WebGL type: ${a}`)}_getBytesPerTexel(a,x){const{gl:y}=this;let E=0;if(a===y.UNSIGNED_BYTE&&(E=1),(a===y.UNSIGNED_SHORT_4_4_4_4||a===y.UNSIGNED_SHORT_5_5_5_1||a===y.UNSIGNED_SHORT_5_6_5||a===y.UNSIGNED_SHORT||a===y.HALF_FLOAT)&&(E=2),(a===y.UNSIGNED_INT||a===y.FLOAT)&&(E=4),x===y.RGBA)return E*4;if(x===y.RGB)return E*3;if(x===y.ALPHA)return E}dispose(){const{gl:a}=this;this._srcFramebuffer!==null&&a.deleteFramebuffer(this._srcFramebuffer),this._dstFramebuffer!==null&&a.deleteFramebuffer(this._dstFramebuffer)}}function $w(b){return b.isDataTexture?b.image.data:typeof HTMLImageElement!="undefined"&&b instanceof HTMLImageElement||typeof HTMLCanvasElement!="undefined"&&b instanceof HTMLCanvasElement||typeof ImageBitmap!="undefined"&&b instanceof ImageBitmap||typeof OffscreenCanvas!="undefined"&&b instanceof OffscreenCanvas?b:b.data}class nee{constructor(a){this.backend=a,this.gl=this.backend.gl,this.availableExtensions=this.gl.getSupportedExtensions(),this.extensions={}}get(a){let x=this.extensions[a];return x===void 0&&(x=this.gl.getExtension(a),this.extensions[a]=x),x}has(a){return this.availableExtensions.includes(a)}}class ree{constructor(a){this.backend=a,this.maxAnisotropy=null}getMaxAnisotropy(){if(this.maxAnisotropy!==null)return this.maxAnisotropy;const a=this.backend.gl,x=this.backend.extensions;if(x.has("EXT_texture_filter_anisotropic")===!0){const y=x.get("EXT_texture_filter_anisotropic");this.maxAnisotropy=a.getParameter(y.MAX_TEXTURE_MAX_ANISOTROPY_EXT)}else this.maxAnisotropy=0;return this.maxAnisotropy}}const O6={WEBGL_multi_draw:"WEBGL_multi_draw",WEBGL_compressed_texture_astc:"texture-compression-astc",WEBGL_compressed_texture_etc:"texture-compression-etc2",WEBGL_compressed_texture_etc1:"texture-compression-etc1",WEBGL_compressed_texture_pvrtc:"texture-compression-pvrtc",WEBGL_compressed_texture_s3tc:"texture-compression-s3tc",EXT_texture_compression_bptc:"texture-compression-bc",EXT_disjoint_timer_query_webgl2:"timestamp-query",OVR_multiview2:"OVR_multiview2"};class iee{constructor(a){this.gl=a.gl,this.extensions=a.extensions,this.info=a.renderer.info,this.mode=null,this.index=0,this.type=null,this.object=null}render(a,x){const{gl:y,mode:E,object:z,type:ee,info:te,index:ne}=this;ne!==0?y.drawElements(E,x,ee,a):y.drawArrays(E,a,x),te.update(z,x,1)}renderInstances(a,x,y){const{gl:E,mode:z,type:ee,index:te,object:ne,info:ie}=this;y!==0&&(te!==0?E.drawElementsInstanced(z,x,ee,a,y):E.drawArraysInstanced(z,a,x,y),ie.update(ne,x,y))}renderMultiDraw(a,x,y){const{extensions:E,mode:z,object:ee,info:te}=this;if(y===0)return;const ne=E.get("WEBGL_multi_draw");if(ne===null)for(let ie=0;ie<y;ie++)this.render(a[ie],x[ie]);else{this.index!==0?ne.multiDrawElementsWEBGL(z,x,0,this.type,a,0,y):ne.multiDrawArraysWEBGL(z,a,0,x,0,y);let ie=0;for(let ae=0;ae<y;ae++)ie+=x[ae];te.update(ee,ie,1)}}renderMultiDrawInstances(a,x,y,E){const{extensions:z,mode:ee,object:te,info:ne}=this;if(y===0)return;const ie=z.get("WEBGL_multi_draw");if(ie===null)for(let ae=0;ae<y;ae++)this.renderInstances(a[ae],x[ae],E[ae]);else{this.index!==0?ie.multiDrawElementsInstancedWEBGL(ee,x,0,this.type,a,0,E,0,y):ie.multiDrawArraysInstancedWEBGL(ee,a,0,x,0,E,0,y);let ae=0;for(let oe=0;oe<y;oe++)ae+=x[oe]*E[oe];ne.update(te,ae,1)}}}class z6{constructor(a=256){this.trackTimestamp=!0,this.maxQueries=a,this.currentQueryIndex=0,this.queryOffsets=new Map,this.isDisposed=!1,this.lastValue=0,this.frames=[],this.pendingResolve=!1,this.timestamps=new Map}getTimestampFrames(){return this.frames}getTimestamp(a){let x=this.timestamps.get(a);return x===void 0&&(wn(`TimestampQueryPool: No timestamp available for uid ${a}.`),x=0),x}hasTimestamp(a){return this.timestamps.has(a)}allocateQueriesForContext(){}resolveQueriesAsync(){return ca(this,null,function*(){})}dispose(){}}class see extends z6{constructor(a,x,y=2048){if(super(y),this.gl=a,this.type=x,this.ext=a.getExtension("EXT_disjoint_timer_query_webgl2")||a.getExtension("EXT_disjoint_timer_query"),!this.ext){wn("EXT_disjoint_timer_query not supported; timestamps will be disabled."),this.trackTimestamp=!1;return}this.queries=[];for(let E=0;E<this.maxQueries;E++)this.queries.push(a.createQuery());this.activeQuery=null,this.queryStates=new Map}allocateQueriesForContext(a){if(!this.trackTimestamp)return null;if(this.currentQueryIndex+2>this.maxQueries)return no(`WebGPUTimestampQueryPool [${this.type}]: Maximum number of queries exceeded, when using trackTimestamp it is necessary to resolves the queries via renderer.resolveTimestampsAsync( THREE.TimestampQuery.${this.type.toUpperCase()} ).`),null;const x=this.currentQueryIndex;return this.currentQueryIndex+=2,this.queryStates.set(x,"inactive"),this.queryOffsets.set(a,x),x}beginQuery(a){if(!this.trackTimestamp||this.isDisposed)return;const x=this.queryOffsets.get(a);if(x==null||this.activeQuery!==null)return;const y=this.queries[x];if(y)try{this.queryStates.get(x)==="inactive"&&(this.gl.beginQuery(this.ext.TIME_ELAPSED_EXT,y),this.activeQuery=x,this.queryStates.set(x,"started"))}catch(E){E("Error in beginQuery:",E),this.activeQuery=null,this.queryStates.set(x,"inactive")}}endQuery(a){if(!this.trackTimestamp||this.isDisposed)return;const x=this.queryOffsets.get(a);if(x!=null&&this.activeQuery===x)try{this.gl.endQuery(this.ext.TIME_ELAPSED_EXT),this.queryStates.set(x,"ended"),this.activeQuery=null}catch(y){y("Error in endQuery:",y),this.queryStates.set(x,"inactive"),this.activeQuery=null}}resolveQueriesAsync(){return ca(this,null,function*(){if(!this.trackTimestamp||this.pendingResolve)return this.lastValue;this.pendingResolve=!0;try{const a=new Map;for(const[z,ee]of this.queryOffsets)if(this.queryStates.get(ee)==="ended"){const ne=this.queries[ee];a.set(z,this.resolveQuery(ne))}if(a.size===0)return this.lastValue;const x={},y=[];for(const[z,ee]of a){const te=z.match(/^(.*):f(\d+)$/),ne=parseInt(te[2]);y.includes(ne)===!1&&y.push(ne),x[ne]===void 0&&(x[ne]=0);const ie=yield ee;this.timestamps.set(z,ie),x[ne]+=ie}const E=x[y[y.length-1]];return this.lastValue=E,this.frames=y,this.currentQueryIndex=0,this.queryOffsets.clear(),this.queryStates.clear(),this.activeQuery=null,E}catch(a){return a("Error resolving queries:",a),this.lastValue}finally{this.pendingResolve=!1}})}resolveQuery(a){return ca(this,null,function*(){return new Promise(x=>{if(this.isDisposed){x(this.lastValue);return}let y,E=!1;const z=()=>{y&&(clearTimeout(y),y=null)},ee=ne=>{E||(E=!0,z(),x(ne))},te=()=>{if(this.isDisposed){ee(this.lastValue);return}try{if(this.gl.getParameter(this.ext.GPU_DISJOINT_EXT)){ee(this.lastValue);return}if(!this.gl.getQueryParameter(a,this.gl.QUERY_RESULT_AVAILABLE)){y=setTimeout(te,1);return}const ae=this.gl.getQueryParameter(a,this.gl.QUERY_RESULT);x(Number(ae)/1e6)}catch(ne){ne("Error checking query:",ne),x(this.lastValue)}};te()})})}dispose(){if(!this.isDisposed&&(this.isDisposed=!0,!!this.trackTimestamp)){for(const a of this.queries)this.gl.deleteQuery(a);this.queries=[],this.queryStates.clear(),this.queryOffsets.clear(),this.lastValue=0,this.activeQuery=null}}}class k6 extends F6{constructor(a={}){super(a),this.isWebGLBackend=!0,this.attributeUtils=null,this.extensions=null,this.capabilities=null,this.textureUtils=null,this.bufferRenderer=null,this.gl=null,this.state=null,this.utils=null,this.vaoCache={},this.transformFeedbackCache={},this.discard=!1,this.disjoint=null,this.parallel=null,this._currentContext=null,this._knownBindings=new WeakSet,this._supportsInvalidateFramebuffer=typeof navigator=="undefined"?!1:/OculusBrowser/g.test(navigator.userAgent),this._xrFramebuffer=null}init(a){super.init(a);const x=this.parameters,y={antialias:a.currentSamples>0,alpha:!0,depth:a.depth,stencil:a.stencil},E=x.context!==void 0?x.context:a.domElement.getContext("webgl2",y);function z(ee){ee.preventDefault();const te={api:"WebGL",message:ee.statusMessage||"Unknown reason",reason:null,originalEvent:ee};a.onDeviceLost(te)}this._onContextLost=z,a.domElement.addEventListener("webglcontextlost",z,!1),this.gl=E,this.extensions=new nee(this),this.capabilities=new ree(this),this.attributeUtils=new _$(this),this.textureUtils=new tee(this),this.bufferRenderer=new iee(this),this.state=new $$(this),this.utils=new eee(this),this.extensions.get("EXT_color_buffer_float"),this.extensions.get("WEBGL_clip_cull_distance"),this.extensions.get("OES_texture_float_linear"),this.extensions.get("EXT_color_buffer_half_float"),this.extensions.get("WEBGL_multisampled_render_to_texture"),this.extensions.get("WEBGL_render_shared_exponent"),this.extensions.get("WEBGL_multi_draw"),this.extensions.get("OVR_multiview2"),this.disjoint=this.extensions.get("EXT_disjoint_timer_query_webgl2"),this.parallel=this.extensions.get("KHR_parallel_shader_compile")}get coordinateSystem(){return It}getArrayBufferAsync(a){return ca(this,null,function*(){return yield this.attributeUtils.getArrayBufferAsync(a)})}makeXRCompatible(){return ca(this,null,function*(){this.gl.getContextAttributes().xrCompatible!==!0&&(yield this.gl.makeXRCompatible())})}setXRTarget(a){this._xrFramebuffer=a}setXRRenderTargetTextures(a,x,y=null){const E=this.gl;if(this.set(a.texture,{textureGPU:x,glInternalFormat:E.RGBA8}),y!==null){const z=a.stencilBuffer?E.DEPTH24_STENCIL8:E.DEPTH_COMPONENT24;this.set(a.depthTexture,{textureGPU:y,glInternalFormat:z}),this.extensions.has("WEBGL_multisampled_render_to_texture")===!0&&a._autoAllocateDepthBuffer===!0&&a.multiview===!1&&wn("WebGLBackend: Render-to-texture extension was disabled because an external texture was provided"),a._autoAllocateDepthBuffer=!1}}initTimestampQuery(a,x){if(!this.disjoint||!this.trackTimestamp)return;this.timestampQueryPool[a]||(this.timestampQueryPool[a]=new see(this.gl,a,2048));const y=this.timestampQueryPool[a];y.allocateQueriesForContext(x)!==null&&y.beginQuery(x)}prepareTimestampBuffer(a,x){if(!this.disjoint||!this.trackTimestamp)return;this.timestampQueryPool[a].endQuery(x)}getContext(){return this.gl}beginRender(a){const{state:x}=this,y=this.get(a);if(a.viewport)this.updateViewport(a);else{const{width:z,height:ee}=this.getDrawingBufferSize();x.viewport(0,0,z,ee)}if(a.scissor){const{x:z,y:ee,width:te,height:ne}=a.scissorValue;x.scissor(z,a.height-ne-ee,te,ne)}this.initTimestampQuery(Mt.RENDER,this.getTimestampUID(a)),y.previousContext=this._currentContext,this._currentContext=a,this._setFramebuffer(a),this.clear(a.clearColor,a.clearDepth,a.clearStencil,a,!1);const E=a.occlusionQueryCount;E>0&&(y.currentOcclusionQueries=y.occlusionQueries,y.currentOcclusionQueryObjects=y.occlusionQueryObjects,y.lastOcclusionObject=null,y.occlusionQueries=new Array(E),y.occlusionQueryObjects=new Array(E),y.occlusionQueryIndex=0)}finishRender(a){const{gl:x,state:y}=this,E=this.get(a),z=E.previousContext;y.resetVertexState();const ee=a.occlusionQueryCount;ee>0&&(ee>E.occlusionQueryIndex&&x.endQuery(x.ANY_SAMPLES_PASSED),this.resolveOccludedAsync(a));const te=a.textures;if(te!==null)for(let ne=0;ne<te.length;ne++){const ie=te[ne];ie.generateMipmaps&&this.generateMipmaps(ie)}if(this._currentContext=z,this._resolveRenderTarget(a),z!==null)if(this._setFramebuffer(z),z.viewport)this.updateViewport(z);else{const{width:ne,height:ie}=this.getDrawingBufferSize();y.viewport(0,0,ne,ie)}this.prepareTimestampBuffer(Mt.RENDER,this.getTimestampUID(a))}resolveOccludedAsync(a){const x=this.get(a),{currentOcclusionQueries:y,currentOcclusionQueryObjects:E}=x;if(y&&E){const z=new WeakSet,{gl:ee}=this;x.currentOcclusionQueryObjects=null,x.currentOcclusionQueries=null;const te=()=>{let ne=0;for(let ie=0;ie<y.length;ie++){const ae=y[ie];ae!==null&&ee.getQueryParameter(ae,ee.QUERY_RESULT_AVAILABLE)&&(ee.getQueryParameter(ae,ee.QUERY_RESULT)===0&&z.add(E[ie]),y[ie]=null,ee.deleteQuery(ae),ne++)}ne<y.length?requestAnimationFrame(te):x.occluded=z};te()}}isOccluded(a,x){const y=this.get(a);return y.occluded&&y.occluded.has(x)}updateViewport(a){const{state:x}=this,{x:y,y:E,width:z,height:ee}=a.viewportValue;x.viewport(y,a.height-ee-E,z,ee)}setScissorTest(a){this.state.setScissorTest(a)}getClearColor(){const a=super.getClearColor();return a.r*=a.a,a.g*=a.a,a.b*=a.a,a}clear(a,x,y,E=null,z=!0,ee=!0){const{gl:te,renderer:ne}=this;E===null&&(E={textures:null,clearColorValue:this.getClearColor()});let ie=0;if(a&&(ie|=te.COLOR_BUFFER_BIT),x&&(ie|=te.DEPTH_BUFFER_BIT),y&&(ie|=te.STENCIL_BUFFER_BIT),ie!==0){let ae;E.clearColorValue?ae=E.clearColorValue:ae=this.getClearColor();const oe=ne.getClearDepth(),le=ne.getClearStencil();if(x&&this.state.setDepthMask(!0),E.textures===null)te.clearColor(ae.r,ae.g,ae.b,ae.a),te.clear(ie);else{if(z&&this._setFramebuffer(E),a)for(let ue=0;ue<E.textures.length;ue++)ue===0?te.clearBufferfv(te.COLOR,ue,[ae.r,ae.g,ae.b,ae.a]):te.clearBufferfv(te.COLOR,ue,[0,0,0,1]);x&&y?te.clearBufferfi(te.DEPTH_STENCIL,0,oe,le):x?te.clearBufferfv(te.DEPTH,0,[oe]):y&&te.clearBufferiv(te.STENCIL,0,[le]),z&&ee&&this._resolveRenderTarget(E)}}}beginCompute(a){const{state:x,gl:y}=this;x.bindFramebuffer(y.FRAMEBUFFER,null),this.initTimestampQuery(Mt.COMPUTE,this.getTimestampUID(a))}compute(a,x,y,E,z=null){const{state:ee,gl:te}=this;this.discard===!1&&(te.enable(te.RASTERIZER_DISCARD),this.discard=!0);const{programGPU:ne,transformBuffers:ie,attributes:ae}=this.get(E),oe=this._getVaoKey(ae),le=this.vaoCache[oe];le===void 0?this.vaoCache[oe]=this._createVao(ae):ee.setVertexState(le),ee.useProgram(ne),this._bindUniforms(y);const ue=this._getTransformFeedback(ie);te.bindTransformFeedback(te.TRANSFORM_FEEDBACK,ue),te.beginTransformFeedback(te.POINTS),z=z!==null?z:x.count,Array.isArray(z)?(no("WebGLBackend.compute(): The count parameter must be a single number, not an array."),z=z[0]):z&&typeof z=="object"&&z.isIndirectStorageBufferAttribute&&(no("WebGLBackend.compute(): The count parameter must be a single number, not IndirectStorageBufferAttribute"),z=x.count),ae[0].isStorageInstancedBufferAttribute?te.drawArraysInstanced(te.POINTS,0,1,z):te.drawArrays(te.POINTS,0,z),te.endTransformFeedback(),te.bindTransformFeedback(te.TRANSFORM_FEEDBACK,null);for(let he=0;he<ie.length;he++){const xe=ie[he];xe.pbo&&this.has(xe.pbo)&&this.textureUtils.copyBufferToTexture(xe.transformBuffer,xe.pbo),xe.switchBuffers()}}finishCompute(a){const x=this.gl;this.discard=!1,x.disable(x.RASTERIZER_DISCARD),this.prepareTimestampBuffer(Mt.COMPUTE,this.getTimestampUID(a)),this._currentContext&&this._setFramebuffer(this._currentContext)}_isRenderCameraDepthArray(a){return a.depthTexture&&a.depthTexture.isArrayTexture&&a.camera.isArrayCamera}draw(a){const{object:x,pipeline:y,material:E,context:z,hardwareClippingPlanes:ee}=a,{programGPU:te}=this.get(y),{gl:ne,state:ie}=this,ae=this.get(z),oe=a.getDrawParameters();if(oe===null)return;this._bindUniforms(a.getBindings());const le=x.isMesh&&x.matrixWorld.determinant()<0;ie.setMaterial(E,le,ee),ie.useProgram(te);const ue=a.getAttributes(),he=this.get(ue);let xe=he.vaoGPU;if(xe===void 0){const ze=this._getVaoKey(ue);xe=this.vaoCache[ze],xe===void 0&&(xe=this._createVao(ue),this.vaoCache[ze]=xe,he.vaoGPU=xe)}const ve=a.getIndex(),me=ve!==null?this.get(ve).bufferGPU:null;ie.setVertexState(xe,me);const Pe=ae.lastOcclusionObject;if(Pe!==x&&Pe!==void 0){if(Pe!==null&&Pe.occlusionTest===!0&&(ne.endQuery(ne.ANY_SAMPLES_PASSED),ae.occlusionQueryIndex++),x.occlusionTest===!0){const ze=ne.createQuery();ne.beginQuery(ne.ANY_SAMPLES_PASSED,ze),ae.occlusionQueries[ae.occlusionQueryIndex]=ze,ae.occlusionQueryObjects[ae.occlusionQueryIndex]=x}ae.lastOcclusionObject=x}const we=this.bufferRenderer;x.isPoints?we.mode=ne.POINTS:x.isLineSegments?we.mode=ne.LINES:x.isLine?we.mode=ne.LINE_STRIP:x.isLineLoop?we.mode=ne.LINE_LOOP:E.wireframe===!0?(ie.setLineWidth(E.wireframeLinewidth*this.renderer.getPixelRatio()),we.mode=ne.LINES):we.mode=ne.TRIANGLES;const{vertexCount:Me,instanceCount:Le}=oe;let{firstVertex:De}=oe;if(we.object=x,ve!==null){De*=ve.array.BYTES_PER_ELEMENT;const ze=this.get(ve);we.index=ve.count,we.type=ze.type}else we.index=0;const ke=()=>{x.isBatchedMesh?x._multiDrawInstances!==null?(no("WebGLBackend: renderMultiDrawInstances has been deprecated and will be removed in r184. Append to renderMultiDraw arguments and use indirection."),we.renderMultiDrawInstances(x._multiDrawStarts,x._multiDrawCounts,x._multiDrawCount,x._multiDrawInstances)):this.hasFeature("WEBGL_multi_draw")?we.renderMultiDraw(x._multiDrawStarts,x._multiDrawCounts,x._multiDrawCount):no("WebGLBackend: WEBGL_multi_draw not supported."):Le>1?we.renderInstances(De,Me,Le):we.render(De,Me)};if(a.camera.isArrayCamera===!0&&a.camera.cameras.length>0&&a.camera.isMultiViewCamera===!1){const ze=this.get(a.camera),He=a.camera.cameras,Re=a.getBindingGroup("cameraIndex").bindings[0];if(ze.indexesGPU===void 0||ze.indexesGPU.length!==He.length){const an=new Uint32Array([0,0,0,0]),Zn=[];for(let Zt=0,nt=He.length;Zt<nt;Zt++){const Vt=ne.createBuffer();an[0]=Zt,ne.bindBuffer(ne.UNIFORM_BUFFER,Vt),ne.bufferData(ne.UNIFORM_BUFFER,an,ne.STATIC_DRAW),Zn.push(Vt)}ze.indexesGPU=Zn}const Fe=this.get(Re),$e=this.renderer.getPixelRatio(),pt=this._currentContext.renderTarget,st=this._isRenderCameraDepthArray(this._currentContext),Ft=this._currentContext.activeCubeFace;if(st){const an=this.get(pt.depthTexture);if(an.clearedRenderId!==this.renderer._nodes.nodeFrame.renderId){an.clearedRenderId=this.renderer._nodes.nodeFrame.renderId;const{stencilBuffer:Zn}=pt;for(let Zt=0,nt=He.length;Zt<nt;Zt++)this.renderer._activeCubeFace=Zt,this._currentContext.activeCubeFace=Zt,this._setFramebuffer(this._currentContext),this.clear(!1,!0,Zn,this._currentContext,!1,!1);this.renderer._activeCubeFace=Ft,this._currentContext.activeCubeFace=Ft}}for(let an=0,Zn=He.length;an<Zn;an++){const Zt=He[an];if(x.layers.test(Zt.layers)){st&&(this.renderer._activeCubeFace=an,this._currentContext.activeCubeFace=an,this._setFramebuffer(this._currentContext));const nt=Zt.viewport;if(nt!==void 0){const Vt=nt.x*$e,vt=nt.y*$e,Yt=nt.width*$e,gn=nt.height*$e;ie.viewport(Math.floor(Vt),Math.floor(a.context.height-gn-vt),Math.floor(Yt),Math.floor(gn))}ie.bindBufferBase(ne.UNIFORM_BUFFER,Fe.index,ze.indexesGPU[an]),ke()}this._currentContext.activeCubeFace=Ft,this.renderer._activeCubeFace=Ft}}else ke()}needsRenderUpdate(){return!1}getRenderCacheKey(){return""}createDefaultTexture(a){this.textureUtils.createDefaultTexture(a)}createTexture(a,x){this.textureUtils.createTexture(a,x)}updateTexture(a,x){this.textureUtils.updateTexture(a,x)}generateMipmaps(a){this.textureUtils.generateMipmaps(a)}destroyTexture(a,x=!1){this.textureUtils.destroyTexture(a,x)}copyTextureToBuffer(a,x,y,E,z,ee){return ca(this,null,function*(){return this.textureUtils.copyTextureToBuffer(a,x,y,E,z,ee)})}updateSampler(){return""}createNodeBuilder(a,x){return new J$(a,x)}createProgram(a){const x=this.gl,{stage:y,code:E}=a,z=y==="fragment"?x.createShader(x.FRAGMENT_SHADER):x.createShader(x.VERTEX_SHADER);x.shaderSource(z,E),x.compileShader(z),this.set(a,{shaderGPU:z})}destroyProgram(a){this.delete(a)}createRenderPipeline(a,x){const y=this.gl,E=a.pipeline,{fragmentProgram:z,vertexProgram:ee}=E,te=y.createProgram(),ne=this.get(z).shaderGPU,ie=this.get(ee).shaderGPU;if(y.attachShader(te,ne),y.attachShader(te,ie),y.linkProgram(te),this.set(E,{programGPU:te,fragmentShader:ne,vertexShader:ie}),x!==null&&this.parallel){const ae=new Promise(oe=>{const le=this.parallel,ue=()=>{y.getProgramParameter(te,le.COMPLETION_STATUS_KHR)?(this._completeCompile(a,E),oe()):requestAnimationFrame(ue)};ue()});x.push(ae);return}this._completeCompile(a,E)}_handleSource(a,x){const y=a.split(`
`),E=[],z=Math.max(x-6,0),ee=Math.min(x+6,y.length);for(let te=z;te<ee;te++){const ne=te+1;E.push(`${ne===x?">":" "} ${ne}: ${y[te]}`)}return E.join(`
`)}_getShaderErrors(a,x,y){const E=a.getShaderParameter(x,a.COMPILE_STATUS),ee=(a.getShaderInfoLog(x)||"").trim();if(E&&ee==="")return"";const te=/ERROR: 0:(\d+)/.exec(ee);if(te){const ne=parseInt(te[1]);return y.toUpperCase()+`

`+ee+`

`+this._handleSource(a.getShaderSource(x),ne)}else return ee}_logProgramError(a,x,y){if(this.renderer.debug.checkShaderErrors){const E=this.gl,ee=(E.getProgramInfoLog(a)||"").trim();if(E.getProgramParameter(a,E.LINK_STATUS)===!1)if(typeof this.renderer.debug.onShaderError=="function")this.renderer.debug.onShaderError(E,a,y,x);else{const te=this._getShaderErrors(E,y,"vertex"),ne=this._getShaderErrors(E,x,"fragment");cr("THREE.WebGLProgram: Shader Error "+E.getError()+" - VALIDATE_STATUS "+E.getProgramParameter(a,E.VALIDATE_STATUS)+`

Program Info Log: `+ee+`
`+te+`
`+ne)}else ee!==""&&wn("WebGLProgram: Program Info Log:",ee)}}_completeCompile(a,x){const{state:y,gl:E}=this,z=this.get(x),{programGPU:ee,fragmentShader:te,vertexShader:ne}=z;E.getProgramParameter(ee,E.LINK_STATUS)===!1&&this._logProgramError(ee,te,ne),y.useProgram(ee);const ie=a.getBindings();this._setupBindings(ie,ee),this.set(x,{programGPU:ee})}createComputePipeline(a,x){const{state:y,gl:E}=this,z={stage:"fragment",code:`#version 300 es
precision highp float;
void main() {}`};this.createProgram(z);const{computeProgram:ee}=a,te=E.createProgram(),ne=this.get(z).shaderGPU,ie=this.get(ee).shaderGPU,ae=ee.transforms,oe=[],le=[];for(let ve=0;ve<ae.length;ve++){const me=ae[ve];oe.push(me.varyingName),le.push(me.attributeNode)}E.attachShader(te,ne),E.attachShader(te,ie),E.transformFeedbackVaryings(te,oe,E.SEPARATE_ATTRIBS),E.linkProgram(te),E.getProgramParameter(te,E.LINK_STATUS)===!1&&this._logProgramError(te,ne,ie),y.useProgram(te),this._setupBindings(x,te);const ue=ee.attributes,he=[],xe=[];for(let ve=0;ve<ue.length;ve++){const me=ue[ve].node.attribute;he.push(me),this.has(me)||this.attributeUtils.createAttribute(me,E.ARRAY_BUFFER)}for(let ve=0;ve<le.length;ve++){const me=le[ve].attribute;this.has(me)||this.attributeUtils.createAttribute(me,E.ARRAY_BUFFER);const Pe=this.get(me);xe.push(Pe)}this.set(a,{programGPU:te,transformBuffers:xe,attributes:he})}createBindings(a,x){if(this._knownBindings.has(x)===!1){this._knownBindings.add(x);let y=0,E=0;for(const z of x){this.set(z,{textures:E,uniformBuffers:y});for(const ee of z.bindings)ee.isUniformBuffer&&y++,ee.isSampledTexture&&E++}}this.updateBindings(a,x)}updateBindings(a){const{gl:x}=this,y=this.get(a);let E=y.uniformBuffers,z=y.textures;for(const ee of a.bindings){const te=this.get(ee);if(ee.isUniformsGroup||ee.isUniformBuffer){const ne=ee.buffer;let{bufferGPU:ie}=this.get(ne);ie===void 0?(ie=x.createBuffer(),x.bindBuffer(x.UNIFORM_BUFFER,ie),x.bufferData(x.UNIFORM_BUFFER,ne,x.DYNAMIC_DRAW),this.set(ne,{bufferGPU:ie})):(x.bindBuffer(x.UNIFORM_BUFFER,ie),x.bufferSubData(x.UNIFORM_BUFFER,0,ne)),te.index=E++,te.bufferGPU=ie,this.set(ee,te)}else if(ee.isSampledTexture){const{textureGPU:ne,glTextureType:ie}=this.get(ee.texture);te.index=z++,te.textureGPU=ne,te.glTextureType=ie,this.set(ee,te)}}}updateBinding(a){const x=this.gl;if(a.isUniformsGroup||a.isUniformBuffer){const E=this.get(a).bufferGPU,z=a.buffer;x.bindBuffer(x.UNIFORM_BUFFER,E),x.bufferData(x.UNIFORM_BUFFER,z,x.DYNAMIC_DRAW)}}createIndexAttribute(a){const x=this.gl;this.attributeUtils.createAttribute(a,x.ELEMENT_ARRAY_BUFFER)}createAttribute(a){if(this.has(a))return;const x=this.gl;this.attributeUtils.createAttribute(a,x.ARRAY_BUFFER)}createStorageAttribute(a){if(this.has(a))return;const x=this.gl;this.attributeUtils.createAttribute(a,x.ARRAY_BUFFER)}updateAttribute(a){this.attributeUtils.updateAttribute(a)}destroyAttribute(a){this.attributeUtils.destroyAttribute(a)}hasFeature(a){const x=Object.keys(O6).filter(E=>O6[E]===a),y=this.extensions;for(let E=0;E<x.length;E++)if(y.has(x[E]))return!0;return!1}getMaxAnisotropy(){return this.capabilities.getMaxAnisotropy()}copyTextureToTexture(a,x,y=null,E=null,z=0,ee=0){this.textureUtils.copyTextureToTexture(a,x,y,E,z,ee)}copyFramebufferToTexture(a,x,y){this.textureUtils.copyFramebufferToTexture(a,x,y)}_setFramebuffer(a){const{gl:x,state:y}=this;let E=null;if(a.textures!==null){const z=a.renderTarget,ee=this.get(z),{samples:te,depthBuffer:ne,stencilBuffer:ie}=z,ae=z.isWebGLCubeRenderTarget===!0,oe=z.isRenderTarget3D===!0,le=z.depth>1,ue=z.isXRRenderTarget===!0,he=ue===!0&&z._hasExternalTextures===!0;let xe=ee.msaaFrameBuffer,ve=ee.depthRenderbuffer;const me=this.extensions.get("WEBGL_multisampled_render_to_texture"),Pe=this.extensions.get("OVR_multiview2"),we=this._useMultisampledExtension(z),Me=r7(a);let Le;if(ae?(ee.cubeFramebuffers||(ee.cubeFramebuffers={}),Le=ee.cubeFramebuffers[Me]):ue&&he===!1?Le=this._xrFramebuffer:(ee.framebuffers||(ee.framebuffers={}),Le=ee.framebuffers[Me]),Le===void 0){Le=x.createFramebuffer(),y.bindFramebuffer(x.FRAMEBUFFER,Le);const De=a.textures,ke=[];if(ae){ee.cubeFramebuffers[Me]=Le;const{textureGPU:He}=this.get(De[0]),Re=this.renderer._activeCubeFace,Fe=this.renderer._activeMipmapLevel;x.framebufferTexture2D(x.FRAMEBUFFER,x.COLOR_ATTACHMENT0,x.TEXTURE_CUBE_MAP_POSITIVE_X+Re,He,Fe)}else{ee.framebuffers[Me]=Le;for(let He=0;He<De.length;He++){const Re=De[He],Fe=this.get(Re);Fe.renderTarget=a.renderTarget,Fe.cacheKey=Me;const $e=x.COLOR_ATTACHMENT0+He;if(z.multiview)Pe.framebufferTextureMultisampleMultiviewOVR(x.FRAMEBUFFER,$e,Fe.textureGPU,0,te,0,2);else if(oe||le){const pt=this.renderer._activeCubeFace,st=this.renderer._activeMipmapLevel;x.framebufferTextureLayer(x.FRAMEBUFFER,$e,Fe.textureGPU,st,pt)}else if(we)me.framebufferTexture2DMultisampleEXT(x.FRAMEBUFFER,$e,x.TEXTURE_2D,Fe.textureGPU,0,te);else{const pt=this.renderer._activeMipmapLevel;x.framebufferTexture2D(x.FRAMEBUFFER,$e,x.TEXTURE_2D,Fe.textureGPU,pt)}}}const ze=ie?x.DEPTH_STENCIL_ATTACHMENT:x.DEPTH_ATTACHMENT;if(z._autoAllocateDepthBuffer===!0){const He=x.createRenderbuffer();this.textureUtils.setupRenderBufferStorage(He,a,0,we),ee.xrDepthRenderbuffer=He,ke.push(ie?x.DEPTH_STENCIL_ATTACHMENT:x.DEPTH_ATTACHMENT),x.bindRenderbuffer(x.RENDERBUFFER,He),x.framebufferRenderbuffer(x.FRAMEBUFFER,ze,x.RENDERBUFFER,He)}else if(a.depthTexture!==null){ke.push(ie?x.DEPTH_STENCIL_ATTACHMENT:x.DEPTH_ATTACHMENT);const He=this.get(a.depthTexture);if(He.renderTarget=a.renderTarget,He.cacheKey=Me,z.multiview)Pe.framebufferTextureMultisampleMultiviewOVR(x.FRAMEBUFFER,ze,He.textureGPU,0,te,0,2);else if(he&&we)me.framebufferTexture2DMultisampleEXT(x.FRAMEBUFFER,ze,x.TEXTURE_2D,He.textureGPU,0,te);else if(a.depthTexture.isArrayTexture){const Re=this.renderer._activeCubeFace;x.framebufferTextureLayer(x.FRAMEBUFFER,ze,He.textureGPU,0,Re)}else x.framebufferTexture2D(x.FRAMEBUFFER,ze,x.TEXTURE_2D,He.textureGPU,0)}ee.depthInvalidationArray=ke}else{if(this._isRenderCameraDepthArray(a)){y.bindFramebuffer(x.FRAMEBUFFER,Le);const ke=this.renderer._activeCubeFace,ze=this.get(a.depthTexture),He=ie?x.DEPTH_STENCIL_ATTACHMENT:x.DEPTH_ATTACHMENT;x.framebufferTextureLayer(x.FRAMEBUFFER,He,ze.textureGPU,0,ke)}if((ue||we||z.multiview)&&z._isOpaqueFramebuffer!==!0){y.bindFramebuffer(x.FRAMEBUFFER,Le);const ke=this.get(a.textures[0]);z.multiview?Pe.framebufferTextureMultisampleMultiviewOVR(x.FRAMEBUFFER,x.COLOR_ATTACHMENT0,ke.textureGPU,0,te,0,2):we?me.framebufferTexture2DMultisampleEXT(x.FRAMEBUFFER,x.COLOR_ATTACHMENT0,x.TEXTURE_2D,ke.textureGPU,0,te):x.framebufferTexture2D(x.FRAMEBUFFER,x.COLOR_ATTACHMENT0,x.TEXTURE_2D,ke.textureGPU,0);const ze=ie?x.DEPTH_STENCIL_ATTACHMENT:x.DEPTH_ATTACHMENT;if(z._autoAllocateDepthBuffer===!0){const He=ee.xrDepthRenderbuffer;x.bindRenderbuffer(x.RENDERBUFFER,He),x.framebufferRenderbuffer(x.FRAMEBUFFER,ze,x.RENDERBUFFER,He)}else{const He=this.get(a.depthTexture);z.multiview?Pe.framebufferTextureMultisampleMultiviewOVR(x.FRAMEBUFFER,ze,He.textureGPU,0,te,0,2):we?me.framebufferTexture2DMultisampleEXT(x.FRAMEBUFFER,ze,x.TEXTURE_2D,He.textureGPU,0,te):x.framebufferTexture2D(x.FRAMEBUFFER,ze,x.TEXTURE_2D,He.textureGPU,0)}}}if(te>0&&we===!1&&!z.multiview){if(xe===void 0){const De=[];xe=x.createFramebuffer(),y.bindFramebuffer(x.FRAMEBUFFER,xe);const ke=[],ze=a.textures;for(let He=0;He<ze.length;He++){ke[He]=x.createRenderbuffer(),x.bindRenderbuffer(x.RENDERBUFFER,ke[He]),De.push(x.COLOR_ATTACHMENT0+He);const Re=a.textures[He],Fe=this.get(Re);x.renderbufferStorageMultisample(x.RENDERBUFFER,te,Fe.glInternalFormat,a.width,a.height),x.framebufferRenderbuffer(x.FRAMEBUFFER,x.COLOR_ATTACHMENT0+He,x.RENDERBUFFER,ke[He])}if(x.bindRenderbuffer(x.RENDERBUFFER,null),ee.msaaFrameBuffer=xe,ee.msaaRenderbuffers=ke,ne&&ve===void 0){ve=x.createRenderbuffer(),this.textureUtils.setupRenderBufferStorage(ve,a,te),ee.depthRenderbuffer=ve;const He=ie?x.DEPTH_STENCIL_ATTACHMENT:x.DEPTH_ATTACHMENT;De.push(He)}ee.invalidationArray=De}E=ee.msaaFrameBuffer}else E=Le;y.drawBuffers(a,Le)}y.bindFramebuffer(x.FRAMEBUFFER,E)}_getVaoKey(a){let x="";for(let y=0;y<a.length;y++){const E=this.get(a[y]);x+=":"+E.id}return x}_createVao(a){const{gl:x}=this,y=x.createVertexArray();x.bindVertexArray(y);for(let E=0;E<a.length;E++){const z=a[E],ee=this.get(z);x.bindBuffer(x.ARRAY_BUFFER,ee.bufferGPU),x.enableVertexAttribArray(E);let te,ne;z.isInterleavedBufferAttribute===!0?(te=z.data.stride*ee.bytesPerElement,ne=z.offset*ee.bytesPerElement):(te=0,ne=0),ee.isInteger?x.vertexAttribIPointer(E,z.itemSize,ee.type,te,ne):x.vertexAttribPointer(E,z.itemSize,ee.type,z.normalized,te,ne),z.isInstancedBufferAttribute&&!z.isInterleavedBufferAttribute?x.vertexAttribDivisor(E,z.meshPerAttribute):z.isInterleavedBufferAttribute&&z.data.isInstancedInterleavedBuffer&&x.vertexAttribDivisor(E,z.data.meshPerAttribute)}return x.bindBuffer(x.ARRAY_BUFFER,null),y}_getTransformFeedback(a){let x="";for(let z=0;z<a.length;z++)x+=":"+a[z].id;let y=this.transformFeedbackCache[x];if(y!==void 0)return y;const{gl:E}=this;y=E.createTransformFeedback(),E.bindTransformFeedback(E.TRANSFORM_FEEDBACK,y);for(let z=0;z<a.length;z++){const ee=a[z];E.bindBufferBase(E.TRANSFORM_FEEDBACK_BUFFER,z,ee.transformBuffer)}return E.bindTransformFeedback(E.TRANSFORM_FEEDBACK,null),this.transformFeedbackCache[x]=y,y}_setupBindings(a,x){const y=this.gl;for(const E of a)for(const z of E.bindings){const te=this.get(z).index;if(z.isUniformsGroup||z.isUniformBuffer){const ne=y.getUniformBlockIndex(x,z.name);y.uniformBlockBinding(x,ne,te)}else if(z.isSampledTexture){const ne=y.getUniformLocation(x,z.name);y.uniform1i(ne,te)}}}_bindUniforms(a){const{gl:x,state:y}=this;for(const E of a)for(const z of E.bindings){const ee=this.get(z),te=ee.index;z.isUniformsGroup||z.isUniformBuffer?y.bindBufferBase(x.UNIFORM_BUFFER,te,ee.bufferGPU):z.isSampledTexture&&y.bindTexture(ee.glTextureType,ee.textureGPU,x.TEXTURE0+te)}}_resolveRenderTarget(a){const{gl:x,state:y}=this,E=a.renderTarget;if(a.textures!==null&&E){const z=this.get(E);if(E.samples>0&&this._useMultisampledExtension(E)===!1){const ee=z.framebuffers[a.getCacheKey()];let te=x.COLOR_BUFFER_BIT;E.resolveDepthBuffer&&(E.depthBuffer&&(te|=x.DEPTH_BUFFER_BIT),E.stencilBuffer&&E.resolveStencilBuffer&&(te|=x.STENCIL_BUFFER_BIT));const ne=z.msaaFrameBuffer,ie=z.msaaRenderbuffers,ae=a.textures,oe=ae.length>1;if(y.bindFramebuffer(x.READ_FRAMEBUFFER,ne),y.bindFramebuffer(x.DRAW_FRAMEBUFFER,ee),oe)for(let le=0;le<ae.length;le++)x.framebufferRenderbuffer(x.READ_FRAMEBUFFER,x.COLOR_ATTACHMENT0+le,x.RENDERBUFFER,null),x.framebufferTexture2D(x.DRAW_FRAMEBUFFER,x.COLOR_ATTACHMENT0+le,x.TEXTURE_2D,null,0);for(let le=0;le<ae.length;le++){if(oe){const{textureGPU:ue}=this.get(ae[le]);x.framebufferRenderbuffer(x.READ_FRAMEBUFFER,x.COLOR_ATTACHMENT0,x.RENDERBUFFER,ie[le]),x.framebufferTexture2D(x.DRAW_FRAMEBUFFER,x.COLOR_ATTACHMENT0,x.TEXTURE_2D,ue,0)}if(a.scissor){const{x:ue,y:he,width:xe,height:ve}=a.scissorValue,me=a.height-ve-he;x.blitFramebuffer(ue,me,ue+xe,me+ve,ue,me,ue+xe,me+ve,te,x.NEAREST)}else x.blitFramebuffer(0,0,a.width,a.height,0,0,a.width,a.height,te,x.NEAREST)}if(oe)for(let le=0;le<ae.length;le++){const{textureGPU:ue}=this.get(ae[le]);x.framebufferRenderbuffer(x.READ_FRAMEBUFFER,x.COLOR_ATTACHMENT0+le,x.RENDERBUFFER,ie[le]),x.framebufferTexture2D(x.DRAW_FRAMEBUFFER,x.COLOR_ATTACHMENT0+le,x.TEXTURE_2D,ue,0)}this._supportsInvalidateFramebuffer===!0&&x.invalidateFramebuffer(x.READ_FRAMEBUFFER,z.invalidationArray)}else if(E.resolveDepthBuffer===!1&&z.framebuffers){const ee=z.framebuffers[a.getCacheKey()];y.bindFramebuffer(x.DRAW_FRAMEBUFFER,ee),x.invalidateFramebuffer(x.DRAW_FRAMEBUFFER,z.depthInvalidationArray)}}}_useMultisampledExtension(a){return a.multiview===!0?!0:a.samples>0&&this.extensions.has("WEBGL_multisampled_render_to_texture")===!0&&a._autoAllocateDepthBuffer!==!1}dispose(){this.textureUtils!==null&&this.textureUtils.dispose();const a=this.extensions.get("WEBGL_lose_context");a&&a.loseContext(),this.renderer.domElement.removeEventListener("webglcontextlost",this._onContextLost)}}const Ox={PointList:"point-list",LineList:"line-list",LineStrip:"line-strip",TriangleList:"triangle-list",TriangleStrip:"triangle-strip"},Td={Never:"never",Less:"less",Equal:"equal",LessEqual:"less-equal",Greater:"greater",NotEqual:"not-equal",GreaterEqual:"greater-equal",Always:"always"},Cf={Store:"store"},Sl={Load:"load",Clear:"clear"},H6={CCW:"ccw",CW:"cw"},U6={None:"none",Back:"back"},zx={Uint16:"uint16",Uint32:"uint32"},cn={R8Unorm:"r8unorm",R8Snorm:"r8snorm",R8Uint:"r8uint",R8Sint:"r8sint",R16Uint:"r16uint",R16Sint:"r16sint",R16Float:"r16float",RG8Unorm:"rg8unorm",RG8Snorm:"rg8snorm",RG8Uint:"rg8uint",RG8Sint:"rg8sint",R32Uint:"r32uint",R32Sint:"r32sint",R32Float:"r32float",RG16Uint:"rg16uint",RG16Sint:"rg16sint",RG16Float:"rg16float",RGBA8Unorm:"rgba8unorm",RGBA8UnormSRGB:"rgba8unorm-srgb",RGBA8Snorm:"rgba8snorm",RGBA8Uint:"rgba8uint",RGBA8Sint:"rgba8sint",BGRA8Unorm:"bgra8unorm",BGRA8UnormSRGB:"bgra8unorm-srgb",RGB9E5UFloat:"rgb9e5ufloat",RGB10A2Unorm:"rgb10a2unorm",RG11B10UFloat:"rg11b10ufloat",RG32Uint:"rg32uint",RG32Sint:"rg32sint",RG32Float:"rg32float",RGBA16Uint:"rgba16uint",RGBA16Sint:"rgba16sint",RGBA16Float:"rgba16float",RGBA32Uint:"rgba32uint",RGBA32Sint:"rgba32sint",RGBA32Float:"rgba32float",Depth16Unorm:"depth16unorm",Depth24Plus:"depth24plus",Depth24PlusStencil8:"depth24plus-stencil8",Depth32Float:"depth32float",Depth32FloatStencil8:"depth32float-stencil8",BC1RGBAUnorm:"bc1-rgba-unorm",BC1RGBAUnormSRGB:"bc1-rgba-unorm-srgb",BC2RGBAUnorm:"bc2-rgba-unorm",BC2RGBAUnormSRGB:"bc2-rgba-unorm-srgb",BC3RGBAUnorm:"bc3-rgba-unorm",BC3RGBAUnormSRGB:"bc3-rgba-unorm-srgb",BC4RUnorm:"bc4-r-unorm",BC4RSnorm:"bc4-r-snorm",BC5RGUnorm:"bc5-rg-unorm",BC5RGSnorm:"bc5-rg-snorm",BC6HRGBUFloat:"bc6h-rgb-ufloat",BC6HRGBFloat:"bc6h-rgb-float",BC7RGBAUnorm:"bc7-rgba-unorm",BC7RGBAUnormSRGB:"bc7-rgba-unorm-srgb",ETC2RGB8Unorm:"etc2-rgb8unorm",ETC2RGB8UnormSRGB:"etc2-rgb8unorm-srgb",ETC2RGB8A1Unorm:"etc2-rgb8a1unorm",ETC2RGB8A1UnormSRGB:"etc2-rgb8a1unorm-srgb",ETC2RGBA8Unorm:"etc2-rgba8unorm",ETC2RGBA8UnormSRGB:"etc2-rgba8unorm-srgb",EACR11Unorm:"eac-r11unorm",EACR11Snorm:"eac-r11snorm",EACRG11Unorm:"eac-rg11unorm",EACRG11Snorm:"eac-rg11snorm",ASTC4x4Unorm:"astc-4x4-unorm",ASTC4x4UnormSRGB:"astc-4x4-unorm-srgb",ASTC5x4Unorm:"astc-5x4-unorm",ASTC5x4UnormSRGB:"astc-5x4-unorm-srgb",ASTC5x5Unorm:"astc-5x5-unorm",ASTC5x5UnormSRGB:"astc-5x5-unorm-srgb",ASTC6x5Unorm:"astc-6x5-unorm",ASTC6x5UnormSRGB:"astc-6x5-unorm-srgb",ASTC6x6Unorm:"astc-6x6-unorm",ASTC6x6UnormSRGB:"astc-6x6-unorm-srgb",ASTC8x5Unorm:"astc-8x5-unorm",ASTC8x5UnormSRGB:"astc-8x5-unorm-srgb",ASTC8x6Unorm:"astc-8x6-unorm",ASTC8x6UnormSRGB:"astc-8x6-unorm-srgb",ASTC8x8Unorm:"astc-8x8-unorm",ASTC8x8UnormSRGB:"astc-8x8-unorm-srgb",ASTC10x5Unorm:"astc-10x5-unorm",ASTC10x5UnormSRGB:"astc-10x5-unorm-srgb",ASTC10x6Unorm:"astc-10x6-unorm",ASTC10x6UnormSRGB:"astc-10x6-unorm-srgb",ASTC10x8Unorm:"astc-10x8-unorm",ASTC10x8UnormSRGB:"astc-10x8-unorm-srgb",ASTC10x10Unorm:"astc-10x10-unorm",ASTC10x10UnormSRGB:"astc-10x10-unorm-srgb",ASTC12x10Unorm:"astc-12x10-unorm",ASTC12x10UnormSRGB:"astc-12x10-unorm-srgb",ASTC12x12Unorm:"astc-12x12-unorm",ASTC12x12UnormSRGB:"astc-12x12-unorm-srgb"},m5={ClampToEdge:"clamp-to-edge",Repeat:"repeat",MirrorRepeat:"mirror-repeat"},iA={Linear:"linear",Nearest:"nearest"},Vo={Zero:"zero",One:"one",Src:"src",OneMinusSrc:"one-minus-src",SrcAlpha:"src-alpha",OneMinusSrcAlpha:"one-minus-src-alpha",Dst:"dst",OneMinusDst:"one-minus-dst",DstAlpha:"dst-alpha",OneMinusDstAlpha:"one-minus-dst-alpha",SrcAlphaSaturated:"src-alpha-saturated",Constant:"constant",OneMinusConstant:"one-minus-constant"},sA={Add:"add",Subtract:"subtract",ReverseSubtract:"reverse-subtract",Min:"min",Max:"max"},j6={None:0,All:15},q0={Keep:"keep",Zero:"zero",Replace:"replace",Invert:"invert",IncrementClamp:"increment-clamp",DecrementClamp:"decrement-clamp",IncrementWrap:"increment-wrap",DecrementWrap:"decrement-wrap"},g5={Storage:"storage",ReadOnlyStorage:"read-only-storage"},v5={WriteOnly:"write-only",ReadOnly:"read-only",ReadWrite:"read-write"},V6={NonFiltering:"non-filtering",Comparison:"comparison"},aA={Float:"float",UnfilterableFloat:"unfilterable-float",Depth:"depth",SInt:"sint",UInt:"uint"},G6={TwoD:"2d",ThreeD:"3d"},Lc={TwoD:"2d",TwoDArray:"2d-array",Cube:"cube",ThreeD:"3d"},aee={All:"all"},eC={Vertex:"vertex",Instance:"instance"},A5={CoreFeaturesAndLimits:"core-features-and-limits",DepthClipControl:"depth-clip-control",Depth32FloatStencil8:"depth32float-stencil8",TextureCompressionBC:"texture-compression-bc",TextureCompressionBCSliced3D:"texture-compression-bc-sliced-3d",TextureCompressionETC2:"texture-compression-etc2",TextureCompressionASTC:"texture-compression-astc",TextureCompressionASTCSliced3D:"texture-compression-astc-sliced-3d",TimestampQuery:"timestamp-query",IndirectFirstInstance:"indirect-first-instance",ShaderF16:"shader-f16",RG11B10UFloat:"rg11b10ufloat-renderable",BGRA8UNormStorage:"bgra8unorm-storage",Float32Filterable:"float32-filterable",Float32Blendable:"float32-blendable",ClipDistances:"clip-distances",DualSourceBlending:"dual-source-blending",Subgroups:"subgroups",TextureFormatsTier1:"texture-formats-tier1",TextureFormatsTier2:"texture-formats-tier2"},X6={"texture-compression-s3tc":"texture-compression-bc","texture-compression-etc1":"texture-compression-etc2"};class oee extends S6{constructor(a,x,y){super(a,x?x.value:null),this.textureNode=x,this.groupNode=y}update(){const{textureNode:a}=this;return this.texture!==a.value?(this.texture=a.value,!0):super.update()}}class lee extends E6{constructor(a,x){super(a,x?x.array:null),this.attribute=x,this.isStorageBuffer=!0}}let uee=0;class cee extends lee{constructor(a,x){super("StorageBuffer_"+uee++,a?a.value:null),this.nodeUniform=a,this.access=a?a.access:Sd.READ_WRITE,this.groupNode=x}get buffer(){return this.nodeUniform.value}}class dee extends Z0{constructor(a){super(),this.device=a;const x=`
struct VarysStruct {
	@builtin( position ) Position: vec4<f32>,
	@location( 0 ) vTex : vec2<f32>
};

@vertex
fn main( @builtin( vertex_index ) vertexIndex : u32 ) -> VarysStruct {

	var Varys : VarysStruct;

	var pos = array< vec2<f32>, 4 >(
		vec2<f32>( -1.0,  1.0 ),
		vec2<f32>(  1.0,  1.0 ),
		vec2<f32>( -1.0, -1.0 ),
		vec2<f32>(  1.0, -1.0 )
	);

	var tex = array< vec2<f32>, 4 >(
		vec2<f32>( 0.0, 0.0 ),
		vec2<f32>( 1.0, 0.0 ),
		vec2<f32>( 0.0, 1.0 ),
		vec2<f32>( 1.0, 1.0 )
	);

	Varys.vTex = tex[ vertexIndex ];
	Varys.Position = vec4<f32>( pos[ vertexIndex ], 0.0, 1.0 );

	return Varys;

}
`,y=`
@group( 0 ) @binding( 0 )
var imgSampler : sampler;

@group( 0 ) @binding( 1 )
var img : texture_2d<f32>;

@fragment
fn main( @location( 0 ) vTex : vec2<f32> ) -> @location( 0 ) vec4<f32> {

	return textureSample( img, imgSampler, vTex );

}
`,E=`
@group( 0 ) @binding( 0 )
var imgSampler : sampler;

@group( 0 ) @binding( 1 )
var img : texture_2d<f32>;

@fragment
fn main( @location( 0 ) vTex : vec2<f32> ) -> @location( 0 ) vec4<f32> {

	return textureSample( img, imgSampler, vec2( vTex.x, 1.0 - vTex.y ) );

}
`;this.mipmapSampler=a.createSampler({minFilter:iA.Linear}),this.flipYSampler=a.createSampler({minFilter:iA.Nearest}),this.transferPipelines={},this.flipYPipelines={},this.mipmapVertexShaderModule=a.createShaderModule({label:"mipmapVertex",code:x}),this.mipmapFragmentShaderModule=a.createShaderModule({label:"mipmapFragment",code:y}),this.flipYFragmentShaderModule=a.createShaderModule({label:"flipYFragment",code:E})}getTransferPipeline(a){let x=this.transferPipelines[a];return x===void 0&&(x=this.device.createRenderPipeline({label:`mipmap-${a}`,vertex:{module:this.mipmapVertexShaderModule,entryPoint:"main"},fragment:{module:this.mipmapFragmentShaderModule,entryPoint:"main",targets:[{format:a}]},primitive:{topology:Ox.TriangleStrip,stripIndexFormat:zx.Uint32},layout:"auto"}),this.transferPipelines[a]=x),x}getFlipYPipeline(a){let x=this.flipYPipelines[a];return x===void 0&&(x=this.device.createRenderPipeline({label:`flipY-${a}`,vertex:{module:this.mipmapVertexShaderModule,entryPoint:"main"},fragment:{module:this.flipYFragmentShaderModule,entryPoint:"main",targets:[{format:a}]},primitive:{topology:Ox.TriangleStrip,stripIndexFormat:zx.Uint32},layout:"auto"}),this.flipYPipelines[a]=x),x}flipY(a,x,y=0){const E=x.format,{width:z,height:ee}=x.size,te=this.getTransferPipeline(E),ne=this.getFlipYPipeline(E),ie=this.device.createTexture({size:{width:z,height:ee,depthOrArrayLayers:1},format:E,usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.TEXTURE_BINDING}),ae=a.createView({baseMipLevel:0,mipLevelCount:1,dimension:Lc.TwoD,baseArrayLayer:y}),oe=ie.createView({baseMipLevel:0,mipLevelCount:1,dimension:Lc.TwoD,baseArrayLayer:0}),le=this.device.createCommandEncoder({}),ue=(he,xe,ve)=>{const me=he.getBindGroupLayout(0),Pe=this.device.createBindGroup({layout:me,entries:[{binding:0,resource:this.flipYSampler},{binding:1,resource:xe}]}),we=le.beginRenderPass({colorAttachments:[{view:ve,loadOp:Sl.Clear,storeOp:Cf.Store,clearValue:[0,0,0,0]}]});we.setPipeline(he),we.setBindGroup(0,Pe),we.draw(4,1,0,0),we.end()};ue(te,ae,oe),ue(ne,oe,ae),this.device.queue.submit([le.finish()]),ie.destroy()}generateMipmaps(a,x,y=0,E=null){const z=this.get(a);z.layers===void 0&&(z.layers=[]);const ee=z.layers[y]||this._mipmapCreateBundles(a,x,y),te=E||this.device.createCommandEncoder({label:"mipmapEncoder"});this._mipmapRunBundles(te,ee),E===null&&this.device.queue.submit([te.finish()]),z.layers[y]=ee}_mipmapCreateBundles(a,x,y){const E=this.getTransferPipeline(x.format),z=E.getBindGroupLayout(0);let ee=a.createView({baseMipLevel:0,mipLevelCount:1,dimension:Lc.TwoD,baseArrayLayer:y});const te=[];for(let ne=1;ne<x.mipLevelCount;ne++){const ie=this.device.createBindGroup({layout:z,entries:[{binding:0,resource:this.mipmapSampler},{binding:1,resource:ee}]}),ae=a.createView({baseMipLevel:ne,mipLevelCount:1,dimension:Lc.TwoD,baseArrayLayer:y}),oe={colorAttachments:[{view:ae,loadOp:Sl.Clear,storeOp:Cf.Store,clearValue:[0,0,0,0]}]},le=this.device.createRenderBundleEncoder({colorFormats:[x.format]});le.setPipeline(E),le.setBindGroup(0,ie),le.draw(4,1,0,0),te.push({renderBundles:[le.finish()],passDescriptor:oe}),ee=ae}return te}_mipmapRunBundles(a,x){const y=x.length;for(let E=0;E<y;E++){const z=x[E],ee=a.beginRenderPass(z.passDescriptor);ee.executeBundles(z.renderBundles),ee.end()}}}const fee={[fc]:"never",[mu]:"less",[Jl]:"equal",[kl]:"less-equal",[Hl]:"greater",[Yh]:"greater-equal",[Of]:"always",[hc]:"not-equal"},hee=[0,1,3,2,4,5];class pee{constructor(a){this.backend=a,this._passUtils=null,this.defaultTexture={},this.defaultCubeTexture={},this.defaultVideoFrame=null,this._samplerCache=new Map}updateSampler(a){const x=this.backend,y=a.minFilter+"-"+a.magFilter+"-"+a.wrapS+"-"+a.wrapT+"-"+(a.wrapR||"0")+"-"+a.anisotropy+"-"+(a.compareFunction||0);let E=this._samplerCache.get(y);if(E===void 0){const ee={addressModeU:this._convertAddressMode(a.wrapS),addressModeV:this._convertAddressMode(a.wrapT),addressModeW:this._convertAddressMode(a.wrapR),magFilter:this._convertFilterMode(a.magFilter),minFilter:this._convertFilterMode(a.minFilter),mipmapFilter:this._convertFilterMode(a.minFilter),maxAnisotropy:1};ee.magFilter===iA.Linear&&ee.minFilter===iA.Linear&&ee.mipmapFilter===iA.Linear&&(ee.maxAnisotropy=a.anisotropy),a.isDepthTexture&&a.compareFunction!==null&&(ee.compare=fee[a.compareFunction]),E={sampler:x.device.createSampler(ee),usedTimes:0},this._samplerCache.set(y,E)}const z=x.get(a);if(z.sampler!==E.sampler){if(z.sampler!==void 0){const ee=this._samplerCache.get(z.samplerKey);ee.usedTimes--,ee.usedTimes===0&&this._samplerCache.delete(z.samplerKey)}z.samplerKey=y,z.sampler=E.sampler,E.usedTimes++}return y}createDefaultTexture(a){let x;const y=x5(a);a.isCubeTexture?x=this._getDefaultCubeTextureGPU(y):x=this._getDefaultTextureGPU(y),this.backend.get(a).texture=x}createTexture(a,x={}){const y=this.backend,E=y.get(a);if(E.initialized)throw new Error("WebGPUTextureUtils: Texture already initialized.");if(a.isExternalTexture){E.texture=a.sourceTexture,E.initialized=!0;return}x.needsMipmaps===void 0&&(x.needsMipmaps=!1),x.levels===void 0&&(x.levels=1),x.depth===void 0&&(x.depth=1);const{width:z,height:ee,depth:te,levels:ne}=x;a.isFramebufferTexture&&(x.renderTarget?x.format=this.backend.utils.getCurrentColorFormat(x.renderTarget):x.format=this.backend.utils.getPreferredCanvasFormat());const ie=this._getDimension(a),ae=a.internalFormat||x.format||x5(a,y.device);E.format=ae;const{samples:oe,primarySamples:le,isMSAA:ue}=y.utils.getTextureSampleData(a);let he=GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.COPY_DST|GPUTextureUsage.COPY_SRC;a.isStorageTexture===!0&&(he|=GPUTextureUsage.STORAGE_BINDING),a.isCompressedTexture!==!0&&a.isCompressedArrayTexture!==!0&&ae!==cn.RGB9E5UFloat&&(he|=GPUTextureUsage.RENDER_ATTACHMENT);const xe={label:a.name,size:{width:z,height:ee,depthOrArrayLayers:te},mipLevelCount:ne,sampleCount:le,dimension:ie,format:ae,usage:he};if(ae===void 0){wn("WebGPURenderer: Texture format not supported."),this.createDefaultTexture(a);return}if(a.isCubeTexture&&(xe.textureBindingViewDimension=Lc.Cube),E.texture=y.device.createTexture(xe),ue){const ve=Object.assign({},xe);ve.label=ve.label+"-msaa",ve.sampleCount=oe,ve.mipLevelCount=1,E.msaaTexture=y.device.createTexture(ve)}E.initialized=!0,E.textureDescriptorGPU=xe}destroyTexture(a,x=!1){const y=this.backend,E=y.get(a);E.texture!==void 0&&x===!1&&E.texture.destroy(),E.msaaTexture!==void 0&&E.msaaTexture.destroy(),y.delete(a)}generateMipmaps(a,x=null){const y=this.backend.get(a);if(a.isCubeTexture)for(let E=0;E<6;E++)this._generateMipmaps(y.texture,y.textureDescriptorGPU,E,x);else{const E=a.image.depth||1;for(let z=0;z<E;z++)this._generateMipmaps(y.texture,y.textureDescriptorGPU,z,x)}}getColorBuffer(){const a=this.backend,x=a.renderer.getCanvasTarget(),{width:y,height:E}=a.getDrawingBufferSize(),z=a.renderer.currentSamples,ee=x.colorTexture,te=a.get(ee);if(ee.width===y&&ee.height===E&&ee.samples===z)return te.texture;let ne=te.texture;return ne&&ne.destroy(),ne=a.device.createTexture({label:"colorBuffer",size:{width:y,height:E,depthOrArrayLayers:1},sampleCount:a.utils.getSampleCount(a.renderer.currentSamples),format:a.utils.getPreferredCanvasFormat(),usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.COPY_SRC}),ee.source.width=y,ee.source.height=E,ee.samples=z,te.texture=ne,ne}getDepthBuffer(a=!0,x=!1){const y=this.backend,E=y.renderer.getCanvasTarget(),{width:z,height:ee}=y.getDrawingBufferSize(),te=y.renderer.currentSamples,ne=E.depthTexture;if(ne.width===z&&ne.height===ee&&ne.samples===te&&ne.depth===a&&ne.stencil===x)return y.get(ne).texture;const ie=y.get(ne).texture;let ae,oe;if(x?(ae=jc,oe=id):a&&(ae=Ed,oe=fl),ie!==void 0){if(ne.image.width===z&&ne.image.height===ee&&ne.format===ae&&ne.type===oe&&ne.samples===te)return ie;this.destroyTexture(ne)}return ne.name="depthBuffer",ne.format=ae,ne.type=oe,ne.image.width=z,ne.image.height=ee,ne.samples=te,this.createTexture(ne,{width:z,height:ee}),y.get(ne).texture}updateTexture(a,x){const y=this.backend.get(a),E=a.mipmaps,{textureDescriptorGPU:z}=y;if(!(a.isRenderTargetTexture||z===void 0)){if(a.isDataTexture)if(E.length>0)for(let ee=0,te=E.length;ee<te;ee++){const ne=E[ee];this._copyBufferToTexture(ne,y.texture,z,0,a.flipY,0,ee)}else this._copyBufferToTexture(x.image,y.texture,z,0,a.flipY);else if(a.isArrayTexture||a.isDataArrayTexture||a.isData3DTexture)for(let ee=0;ee<x.image.depth;ee++)this._copyBufferToTexture(x.image,y.texture,z,ee,a.flipY,ee);else if(a.isCompressedTexture||a.isCompressedArrayTexture)this._copyCompressedBufferToTexture(a.mipmaps,y.texture,z);else if(a.isCubeTexture)this._copyCubeMapToTexture(a,y.texture,z);else if(E.length>0)for(let ee=0,te=E.length;ee<te;ee++){const ne=E[ee];this._copyImageToTexture(ne,y.texture,z,0,a.flipY,a.premultiplyAlpha,ee)}else this._copyImageToTexture(x.image,y.texture,z,0,a.flipY,a.premultiplyAlpha);y.version=a.version}}copyTextureToBuffer(a,x,y,E,z,ee){return ca(this,null,function*(){const te=this.backend.device,ne=this.backend.get(a),ie=ne.texture,ae=ne.textureDescriptorGPU.format,oe=this._getBytesPerTexel(ae);let le=E*oe;le=Math.ceil(le/256)*256;const ue=te.createBuffer({size:(z-1)*le+E*oe,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ}),he=te.createCommandEncoder();he.copyTextureToBuffer({texture:ie,origin:{x,y,z:ee}},{buffer:ue,bytesPerRow:le},{width:E,height:z});const xe=this._getTypedArrayType(ae);te.queue.submit([he.finish()]),yield ue.mapAsync(GPUMapMode.READ);const ve=ue.getMappedRange();return new xe(ve)})}dispose(){this._samplerCache.clear()}_getDefaultTextureGPU(a){let x=this.defaultTexture[a];if(x===void 0){const y=new mc;y.minFilter=Do,y.magFilter=Do,this.createTexture(y,{width:1,height:1,format:a}),this.defaultTexture[a]=x=y}return this.backend.get(x).texture}_getDefaultCubeTextureGPU(a){let x=this.defaultTexture[a];if(x===void 0){const y=new xv;y.minFilter=Do,y.magFilter=Do,this.createTexture(y,{width:1,height:1,depth:6}),this.defaultCubeTexture[a]=x=y}return this.backend.get(x).texture}_copyCubeMapToTexture(a,x,y){const E=a.images,z=a.mipmaps;for(let ee=0;ee<6;ee++){const te=E[ee],ne=a.flipY===!0?hee[ee]:ee;te.isDataTexture?this._copyBufferToTexture(te.image,x,y,ne,a.flipY):this._copyImageToTexture(te,x,y,ne,a.flipY,a.premultiplyAlpha);for(let ie=0;ie<z.length;ie++){const oe=z[ie].images[ee];oe.isDataTexture?this._copyBufferToTexture(oe.image,x,y,ne,a.flipY,0,ie+1):this._copyImageToTexture(oe,x,y,ne,a.flipY,a.premultiplyAlpha,ie+1)}}}_copyImageToTexture(a,x,y,E,z,ee,te=0){const ne=this.backend.device,ie=te>0?a.width:y.size.width,ae=te>0?a.height:y.size.height;ne.queue.copyExternalImageToTexture({source:a,flipY:z},{texture:x,mipLevel:te,origin:{x:0,y:0,z:E},premultipliedAlpha:ee},{width:ie,height:ae,depthOrArrayLayers:1})}_getPassUtils(){let a=this._passUtils;return a===null&&(this._passUtils=a=new dee(this.backend.device)),a}_generateMipmaps(a,x,y=0,E=null){this._getPassUtils().generateMipmaps(a,x,y,E)}_flipY(a,x,y=0){this._getPassUtils().flipY(a,x,y)}_copyBufferToTexture(a,x,y,E,z,ee=0,te=0){const ne=this.backend.device,ie=a.data,ae=this._getBytesPerTexel(y.format),oe=a.width*ae;ne.queue.writeTexture({texture:x,mipLevel:te,origin:{x:0,y:0,z:E}},ie,{offset:a.width*a.height*ae*ee,bytesPerRow:oe},{width:a.width,height:a.height,depthOrArrayLayers:1}),z===!0&&this._flipY(x,y,E)}_copyCompressedBufferToTexture(a,x,y){const E=this.backend.device,z=this._getBlockData(y.format),ee=y.size.depthOrArrayLayers>1;for(let te=0;te<a.length;te++){const ne=a[te],ie=ne.width,ae=ne.height,oe=ee?y.size.depthOrArrayLayers:1,le=Math.ceil(ie/z.width)*z.byteLength,ue=le*Math.ceil(ae/z.height);for(let he=0;he<oe;he++)E.queue.writeTexture({texture:x,mipLevel:te,origin:{x:0,y:0,z:he}},ne.data,{offset:he*ue,bytesPerRow:le,rowsPerImage:Math.ceil(ae/z.height)},{width:Math.ceil(ie/z.width)*z.width,height:Math.ceil(ae/z.height)*z.height,depthOrArrayLayers:1})}}_getBlockData(a){if(a===cn.BC1RGBAUnorm||a===cn.BC1RGBAUnormSRGB)return{byteLength:8,width:4,height:4};if(a===cn.BC2RGBAUnorm||a===cn.BC2RGBAUnormSRGB)return{byteLength:16,width:4,height:4};if(a===cn.BC3RGBAUnorm||a===cn.BC3RGBAUnormSRGB)return{byteLength:16,width:4,height:4};if(a===cn.BC4RUnorm||a===cn.BC4RSnorm)return{byteLength:8,width:4,height:4};if(a===cn.BC5RGUnorm||a===cn.BC5RGSnorm)return{byteLength:16,width:4,height:4};if(a===cn.BC6HRGBUFloat||a===cn.BC6HRGBFloat)return{byteLength:16,width:4,height:4};if(a===cn.BC7RGBAUnorm||a===cn.BC7RGBAUnormSRGB)return{byteLength:16,width:4,height:4};if(a===cn.ETC2RGB8Unorm||a===cn.ETC2RGB8UnormSRGB)return{byteLength:8,width:4,height:4};if(a===cn.ETC2RGB8A1Unorm||a===cn.ETC2RGB8A1UnormSRGB)return{byteLength:8,width:4,height:4};if(a===cn.ETC2RGBA8Unorm||a===cn.ETC2RGBA8UnormSRGB)return{byteLength:16,width:4,height:4};if(a===cn.EACR11Unorm)return{byteLength:8,width:4,height:4};if(a===cn.EACR11Snorm)return{byteLength:8,width:4,height:4};if(a===cn.EACRG11Unorm)return{byteLength:16,width:4,height:4};if(a===cn.EACRG11Snorm)return{byteLength:16,width:4,height:4};if(a===cn.ASTC4x4Unorm||a===cn.ASTC4x4UnormSRGB)return{byteLength:16,width:4,height:4};if(a===cn.ASTC5x4Unorm||a===cn.ASTC5x4UnormSRGB)return{byteLength:16,width:5,height:4};if(a===cn.ASTC5x5Unorm||a===cn.ASTC5x5UnormSRGB)return{byteLength:16,width:5,height:5};if(a===cn.ASTC6x5Unorm||a===cn.ASTC6x5UnormSRGB)return{byteLength:16,width:6,height:5};if(a===cn.ASTC6x6Unorm||a===cn.ASTC6x6UnormSRGB)return{byteLength:16,width:6,height:6};if(a===cn.ASTC8x5Unorm||a===cn.ASTC8x5UnormSRGB)return{byteLength:16,width:8,height:5};if(a===cn.ASTC8x6Unorm||a===cn.ASTC8x6UnormSRGB)return{byteLength:16,width:8,height:6};if(a===cn.ASTC8x8Unorm||a===cn.ASTC8x8UnormSRGB)return{byteLength:16,width:8,height:8};if(a===cn.ASTC10x5Unorm||a===cn.ASTC10x5UnormSRGB)return{byteLength:16,width:10,height:5};if(a===cn.ASTC10x6Unorm||a===cn.ASTC10x6UnormSRGB)return{byteLength:16,width:10,height:6};if(a===cn.ASTC10x8Unorm||a===cn.ASTC10x8UnormSRGB)return{byteLength:16,width:10,height:8};if(a===cn.ASTC10x10Unorm||a===cn.ASTC10x10UnormSRGB)return{byteLength:16,width:10,height:10};if(a===cn.ASTC12x10Unorm||a===cn.ASTC12x10UnormSRGB)return{byteLength:16,width:12,height:10};if(a===cn.ASTC12x12Unorm||a===cn.ASTC12x12UnormSRGB)return{byteLength:16,width:12,height:12}}_convertAddressMode(a){let x=m5.ClampToEdge;return a===Ru?x=m5.Repeat:a===uh&&(x=m5.MirrorRepeat),x}_convertFilterMode(a){let x=iA.Linear;return(a===Do||a===xm||a===mf)&&(x=iA.Nearest),x}_getBytesPerTexel(a){if(a===cn.R8Unorm||a===cn.R8Snorm||a===cn.R8Uint||a===cn.R8Sint)return 1;if(a===cn.R16Uint||a===cn.R16Sint||a===cn.R16Float||a===cn.RG8Unorm||a===cn.RG8Snorm||a===cn.RG8Uint||a===cn.RG8Sint)return 2;if(a===cn.R32Uint||a===cn.R32Sint||a===cn.R32Float||a===cn.RG16Uint||a===cn.RG16Sint||a===cn.RG16Float||a===cn.RGBA8Unorm||a===cn.RGBA8UnormSRGB||a===cn.RGBA8Snorm||a===cn.RGBA8Uint||a===cn.RGBA8Sint||a===cn.BGRA8Unorm||a===cn.BGRA8UnormSRGB||a===cn.RGB9E5UFloat||a===cn.RGB10A2Unorm||a===cn.RG11B10UFloat||a===cn.Depth32Float||a===cn.Depth24Plus||a===cn.Depth24PlusStencil8||a===cn.Depth32FloatStencil8)return 4;if(a===cn.RG32Uint||a===cn.RG32Sint||a===cn.RG32Float||a===cn.RGBA16Uint||a===cn.RGBA16Sint||a===cn.RGBA16Float)return 8;if(a===cn.RGBA32Uint||a===cn.RGBA32Sint||a===cn.RGBA32Float)return 16}_getTypedArrayType(a){if(a===cn.R8Uint)return Uint8Array;if(a===cn.R8Sint)return Int8Array;if(a===cn.R8Unorm)return Uint8Array;if(a===cn.R8Snorm)return Int8Array;if(a===cn.RG8Uint)return Uint8Array;if(a===cn.RG8Sint)return Int8Array;if(a===cn.RG8Unorm)return Uint8Array;if(a===cn.RG8Snorm)return Int8Array;if(a===cn.RGBA8Uint)return Uint8Array;if(a===cn.RGBA8Sint)return Int8Array;if(a===cn.RGBA8Unorm||a===cn.RGBA8UnormSRGB)return Uint8Array;if(a===cn.RGBA8Snorm)return Int8Array;if(a===cn.R16Uint)return Uint16Array;if(a===cn.R16Sint)return Int16Array;if(a===cn.RG16Uint)return Uint16Array;if(a===cn.RG16Sint)return Int16Array;if(a===cn.RGBA16Uint)return Uint16Array;if(a===cn.RGBA16Sint)return Int16Array;if(a===cn.R16Float||a===cn.RG16Float||a===cn.RGBA16Float)return Uint16Array;if(a===cn.R32Uint)return Uint32Array;if(a===cn.R32Sint)return Int32Array;if(a===cn.R32Float)return Float32Array;if(a===cn.RG32Uint)return Uint32Array;if(a===cn.RG32Sint)return Int32Array;if(a===cn.RG32Float)return Float32Array;if(a===cn.RGBA32Uint)return Uint32Array;if(a===cn.RGBA32Sint)return Int32Array;if(a===cn.RGBA32Float)return Float32Array;if(a===cn.BGRA8Unorm||a===cn.BGRA8UnormSRGB)return Uint8Array;if(a===cn.RGB10A2Unorm||a===cn.RGB9E5UFloat||a===cn.RG11B10UFloat)return Uint32Array;if(a===cn.Depth32Float)return Float32Array;if(a===cn.Depth24Plus||a===cn.Depth24PlusStencil8)return Uint32Array;if(a===cn.Depth32FloatStencil8)return Float32Array}_getDimension(a){let x;return a.is3DTexture||a.isData3DTexture?x=G6.ThreeD:x=G6.TwoD,x}}function x5(b,a=null){const x=b.format,y=b.type,E=b.colorSpace,z=ba.getTransfer(E);let ee;if(b.isCompressedTexture===!0||b.isCompressedArrayTexture===!0)switch(x){case jh:case Vh:ee=z===kt?cn.BC1RGBAUnormSRGB:cn.BC1RGBAUnorm;break;case fh:ee=z===kt?cn.BC2RGBAUnormSRGB:cn.BC2RGBAUnorm;break;case Gh:ee=z===kt?cn.BC3RGBAUnormSRGB:cn.BC3RGBAUnorm;break;case Mm:ee=cn.BC4RUnorm;break;case gh:ee=cn.BC4RSnorm;break;case Rf:ee=cn.BC5RGUnorm;break;case bo:ee=cn.BC5RGSnorm;break;case kp:ee=z===kt?cn.BC7RGBAUnormSRGB:cn.BC7RGBAUnorm;break;case Pm:case Cm:ee=z===kt?cn.ETC2RGB8UnormSRGB:cn.ETC2RGB8Unorm;break;case Af:ee=z===kt?cn.ETC2RGBA8UnormSRGB:cn.ETC2RGBA8Unorm;break;case ph:ee=z===kt?cn.ASTC4x4UnormSRGB:cn.ASTC4x4Unorm;break;case mh:ee=z===kt?cn.ASTC5x4UnormSRGB:cn.ASTC5x4Unorm;break;case Sm:ee=z===kt?cn.ASTC5x5UnormSRGB:cn.ASTC5x5Unorm;break;case Bm:ee=z===kt?cn.ASTC6x5UnormSRGB:cn.ASTC6x5Unorm;break;case Lp:ee=z===kt?cn.ASTC6x6UnormSRGB:cn.ASTC6x6Unorm;break;case el:ee=z===kt?cn.ASTC8x5UnormSRGB:cn.ASTC8x5Unorm;break;case Rp:ee=z===kt?cn.ASTC8x6UnormSRGB:cn.ASTC8x6Unorm;break;case Wh:ee=z===kt?cn.ASTC8x8UnormSRGB:cn.ASTC8x8Unorm;break;case xf:ee=z===kt?cn.ASTC10x5UnormSRGB:cn.ASTC10x5Unorm;break;case Vc:ee=z===kt?cn.ASTC10x6UnormSRGB:cn.ASTC10x6Unorm;break;case yf:ee=z===kt?cn.ASTC10x8UnormSRGB:cn.ASTC10x8Unorm;break;case Qh:ee=z===kt?cn.ASTC10x10UnormSRGB:cn.ASTC10x10Unorm;break;case Op:ee=z===kt?cn.ASTC12x10UnormSRGB:cn.ASTC12x10Unorm;break;case zp:ee=z===kt?cn.ASTC12x12UnormSRGB:cn.ASTC12x12Unorm;break;case El:ee=z===kt?cn.RGBA8UnormSRGB:cn.RGBA8Unorm;break;default:cr("WebGPURenderer: Unsupported texture format.",x)}else switch(x){case El:switch(y){case Uh:ee=cn.RGBA8Snorm;break;case dh:ee=cn.RGBA16Sint;break;case Xd:ee=cn.RGBA16Uint;break;case fl:ee=cn.RGBA32Uint;break;case pu:ee=cn.RGBA32Sint;break;case yl:ee=z===kt?cn.RGBA8UnormSRGB:cn.RGBA8Unorm;break;case bl:ee=cn.RGBA16Float;break;case zl:ee=cn.RGBA32Float;break;default:cr("WebGPURenderer: Unsupported texture type with RGBAFormat.",y)}break;case bm:switch(y){case ym:ee=cn.RGB9E5UFloat;break;case Pg:ee=cn.RG11B10UFloat;break;default:cr("WebGPURenderer: Unsupported texture type with RGBFormat.",y)}break;case Lf:switch(y){case Uh:ee=cn.R8Snorm;break;case dh:ee=cn.R16Sint;break;case Xd:ee=cn.R16Uint;break;case fl:ee=cn.R32Uint;break;case pu:ee=cn.R32Sint;break;case yl:ee=cn.R8Unorm;break;case bl:ee=cn.R16Float;break;case zl:ee=cn.R32Float;break;default:cr("WebGPURenderer: Unsupported texture type with RedFormat.",y)}break;case vf:switch(y){case Uh:ee=cn.RG8Snorm;break;case dh:ee=cn.RG16Sint;break;case Xd:ee=cn.RG16Uint;break;case fl:ee=cn.RG32Uint;break;case pu:ee=cn.RG32Sint;break;case yl:ee=cn.RG8Unorm;break;case bl:ee=cn.RG16Float;break;case zl:ee=cn.RG32Float;break;default:cr("WebGPURenderer: Unsupported texture type with RGFormat.",y)}break;case Ed:switch(y){case Xd:ee=cn.Depth16Unorm;break;case fl:ee=cn.Depth24Plus;break;case zl:ee=cn.Depth32Float;break;default:cr("WebGPURenderer: Unsupported texture type with DepthFormat.",y)}break;case jc:switch(y){case id:ee=cn.Depth24PlusStencil8;break;case zl:a&&a.features.has(A5.Depth32FloatStencil8)===!1&&cr('WebGPURenderer: Depth textures with DepthStencilFormat + FloatType can only be used with the "depth32float-stencil8" GPU feature.'),ee=cn.Depth32FloatStencil8;break;default:cr("WebGPURenderer: Unsupported texture type with DepthStencilFormat.",y)}break;case gf:switch(y){case pu:ee=cn.R32Sint;break;case fl:ee=cn.R32Uint;break;default:cr("WebGPURenderer: Unsupported texture type with RedIntegerFormat.",y)}break;case Np:switch(y){case pu:ee=cn.RG32Sint;break;case fl:ee=cn.RG32Uint;break;default:cr("WebGPURenderer: Unsupported texture type with RGIntegerFormat.",y)}break;case Fp:switch(y){case pu:ee=cn.RGBA32Sint;break;case fl:ee=cn.RGBA32Uint;break;default:cr("WebGPURenderer: Unsupported texture type with RGBAIntegerFormat.",y)}break;default:cr("WebGPURenderer: Unsupported texture format.",x)}return ee}const mee=/^[fn]*\s*([a-z_0-9]+)?\s*\(([\s\S]*?)\)\s*[\-\>]*\s*([a-z_0-9]+(?:<[\s\S]+?>)?)/i,gee=/([a-z_0-9]+)\s*:\s*([a-z_0-9]+(?:<[\s\S]+?>)?)/ig,W6={f32:"float",i32:"int",u32:"uint",bool:"bool","vec2<f32>":"vec2","vec2<i32>":"ivec2","vec2<u32>":"uvec2","vec2<bool>":"bvec2",vec2f:"vec2",vec2i:"ivec2",vec2u:"uvec2",vec2b:"bvec2","vec3<f32>":"vec3","vec3<i32>":"ivec3","vec3<u32>":"uvec3","vec3<bool>":"bvec3",vec3f:"vec3",vec3i:"ivec3",vec3u:"uvec3",vec3b:"bvec3","vec4<f32>":"vec4","vec4<i32>":"ivec4","vec4<u32>":"uvec4","vec4<bool>":"bvec4",vec4f:"vec4",vec4i:"ivec4",vec4u:"uvec4",vec4b:"bvec4","mat2x2<f32>":"mat2",mat2x2f:"mat2","mat3x3<f32>":"mat3",mat3x3f:"mat3","mat4x4<f32>":"mat4",mat4x4f:"mat4",sampler:"sampler",texture_1d:"texture",texture_2d:"texture",texture_2d_array:"texture",texture_multisampled_2d:"cubeTexture",texture_depth_2d:"depthTexture",texture_depth_2d_array:"depthTexture",texture_depth_multisampled_2d:"depthTexture",texture_depth_cube:"depthTexture",texture_depth_cube_array:"depthTexture",texture_3d:"texture3D",texture_cube:"cubeTexture",texture_cube_array:"cubeTexture",texture_storage_1d:"storageTexture",texture_storage_2d:"storageTexture",texture_storage_2d_array:"storageTexture",texture_storage_3d:"storageTexture"},vee=b=>{b=b.trim();const a=b.match(mee);if(a!==null&&a.length===4){const x=a[2],y=[];let E=null;for(;(E=gee.exec(x))!==null;)y.push({name:E[1],type:E[2]});const z=[];for(let ae=0;ae<y.length;ae++){const{name:oe,type:le}=y[ae];let ue=le;ue.startsWith("ptr")?ue="pointer":(ue.startsWith("texture")&&(ue=le.split("<")[0]),ue=W6[ue]),z.push(new r5(ue,oe))}const ee=b.substring(a[0].length),te=a[3]||"void",ne=a[1]!==void 0?a[1]:"";return{type:W6[te]||te,inputs:z,name:ne,inputsCode:x,blockCode:ee,outputType:te}}else throw new Error("FunctionNode: Function is not a WGSL code.")};class Aee extends a5{constructor(a){const{type:x,inputs:y,name:E,inputsCode:z,blockCode:ee,outputType:te}=vee(a);super(x,y,E),this.inputsCode=z,this.blockCode=ee,this.outputType=te}getCode(a=this.name){const x=this.outputType!=="void"?"-> "+this.outputType:"";return`fn ${a} ( ${this.inputsCode.trim()} ) ${x}`+this.blockCode}}class xee extends h6{parseFunction(a){return new Aee(a)}}const kx=typeof self!="undefined"?self.GPUShaderStage:{VERTEX:1,FRAGMENT:2,COMPUTE:4},yee={[Sd.READ_ONLY]:"read",[Sd.WRITE_ONLY]:"write",[Sd.READ_WRITE]:"read_write"},Q6={[Ru]:"repeat",[Xu]:"clamp",[uh]:"mirror"},tC={vertex:kx?kx.VERTEX:1,fragment:kx?kx.FRAGMENT:2,compute:kx?kx.COMPUTE:4},Z6={instance:!0,swizzleAssign:!1,storageBuffer:!0},bee={"^^":"tsl_xor"},Eee={float:"f32",int:"i32",uint:"u32",bool:"bool",color:"vec3<f32>",vec2:"vec2<f32>",ivec2:"vec2<i32>",uvec2:"vec2<u32>",bvec2:"vec2<bool>",vec3:"vec3<f32>",ivec3:"vec3<i32>",uvec3:"vec3<u32>",bvec3:"vec3<bool>",vec4:"vec4<f32>",ivec4:"vec4<i32>",uvec4:"vec4<u32>",bvec4:"vec4<bool>",mat2:"mat2x2<f32>",mat3:"mat3x3<f32>",mat4:"mat4x4<f32>"},Y6={},t1={tsl_xor:new ud("fn tsl_xor( a : bool, b : bool ) -> bool { return ( a || b ) && !( a && b ); }"),mod_float:new ud("fn tsl_mod_float( x : f32, y : f32 ) -> f32 { return x - y * floor( x / y ); }"),mod_vec2:new ud("fn tsl_mod_vec2( x : vec2f, y : vec2f ) -> vec2f { return x - y * floor( x / y ); }"),mod_vec3:new ud("fn tsl_mod_vec3( x : vec3f, y : vec3f ) -> vec3f { return x - y * floor( x / y ); }"),mod_vec4:new ud("fn tsl_mod_vec4( x : vec4f, y : vec4f ) -> vec4f { return x - y * floor( x / y ); }"),equals_bool:new ud("fn tsl_equals_bool( a : bool, b : bool ) -> bool { return a == b; }"),equals_bvec2:new ud("fn tsl_equals_bvec2( a : vec2f, b : vec2f ) -> vec2<bool> { return vec2<bool>( a.x == b.x, a.y == b.y ); }"),equals_bvec3:new ud("fn tsl_equals_bvec3( a : vec3f, b : vec3f ) -> vec3<bool> { return vec3<bool>( a.x == b.x, a.y == b.y, a.z == b.z ); }"),equals_bvec4:new ud("fn tsl_equals_bvec4( a : vec4f, b : vec4f ) -> vec4<bool> { return vec4<bool>( a.x == b.x, a.y == b.y, a.z == b.z, a.w == b.w ); }"),repeatWrapping_float:new ud("fn tsl_repeatWrapping_float( coord: f32 ) -> f32 { return fract( coord ); }"),mirrorWrapping_float:new ud("fn tsl_mirrorWrapping_float( coord: f32 ) -> f32 { let mirrored = fract( coord * 0.5 ) * 2.0; return 1.0 - abs( 1.0 - mirrored ); }"),clampWrapping_float:new ud("fn tsl_clampWrapping_float( coord: f32 ) -> f32 { return clamp( coord, 0.0, 1.0 ); }"),biquadraticTexture:new ud(`
fn tsl_biquadraticTexture( map : texture_2d<f32>, coord : vec2f, iRes : vec2u, level : u32 ) -> vec4f {

	let res = vec2f( iRes );

	let uvScaled = coord * res;
	let uvWrapping = ( ( uvScaled % res ) + res ) % res;

	// https://www.shadertoy.com/view/WtyXRy

	let uv = uvWrapping - 0.5;
	let iuv = floor( uv );
	let f = fract( uv );

	let rg1 = textureLoad( map, vec2u( iuv + vec2( 0.5, 0.5 ) ) % iRes, level );
	let rg2 = textureLoad( map, vec2u( iuv + vec2( 1.5, 0.5 ) ) % iRes, level );
	let rg3 = textureLoad( map, vec2u( iuv + vec2( 0.5, 1.5 ) ) % iRes, level );
	let rg4 = textureLoad( map, vec2u( iuv + vec2( 1.5, 1.5 ) ) % iRes, level );

	return mix( mix( rg1, rg2, f.x ), mix( rg3, rg4, f.x ), f.y );

}
`)},wee={dFdx:"dpdx",dFdy:"- dpdy",mod_float:"tsl_mod_float",mod_vec2:"tsl_mod_vec2",mod_vec3:"tsl_mod_vec3",mod_vec4:"tsl_mod_vec4",equals_bool:"tsl_equals_bool",equals_bvec2:"tsl_equals_bvec2",equals_bvec3:"tsl_equals_bvec3",equals_bvec4:"tsl_equals_bvec4",inversesqrt:"inverseSqrt",bitcast:"bitcast<f32>"};let J6="";(typeof navigator!="undefined"&&/Firefox|Deno/g.test(navigator.userAgent))!==!0&&(J6+=`diagnostic( off, derivative_uniformity );
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	return ${z}(
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`,te(a.wrapT,"y"),a.isData3DTexture&&(ee+=`,
`,te(a.wrapR,"z")),ee+=`
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}
`,Y6[x]=y=new ud(ee,E)}return y.build(this),x}generateArrayDeclaration(a,x){return`array< ${this.getType(a)}, ${x} >`}generateTextureDimension(a,x,y){const E=this.getDataFromNode(a,this.shaderStage,this.globalCache);E.dimensionsSnippet===void 0&&(E.dimensionsSnippet={});let z=E.dimensionsSnippet[y];if(E.dimensionsSnippet[y]===void 0){let ee,te;const{primarySamples:ne}=this.renderer.backend.utils.getTextureSampleData(a),ie=ne>1;a.isData3DTexture?te="vec3<u32>":te="vec2<u32>",ie||a.isStorageTexture?ee=x:ee=`${x}${y?`, u32( ${y} )`:""}`,z=new nw(new sw(`textureDimensions( ${ee} )`,te)),E.dimensionsSnippet[y]=z,(a.isArrayTexture||a.isDataArrayTexture||a.isData3DTexture)&&(E.arrayLayerCount=new nw(new sw(`textureNumLayers(${x})`,"u32"))),a.isTextureCube&&(E.cubeFaceCount=new nw(new sw("6u","u32")))}return z.build(this)}generateFilteredTexture(a,x,y,E,z="0u"){this._include("biquadraticTexture");const ee=this.generateWrapFunction(a),te=this.generateTextureDimension(a,x,z);return E&&(y=`${y} + vec2<f32>(${E}) / ${te}`),`tsl_biquadraticTexture( ${x}, ${ee}( ${y} ), ${te}, u32( ${z} ) )`}generateTextureLod(a,x,y,E,z,ee="0u"){const te=this.generateWrapFunction(a),ne=this.generateTextureDimension(a,x,ee),ie=a.isData3DTexture?"vec3":"vec2";z&&(y=`${y} + ${ie}<f32>(${z}) / ${ie}<f32>( ${ne} )`);const ae=`${ie}<u32>( ${te}( ${y} ) * ${ie}<f32>( ${ne} ) )`;return this.generateTextureLoad(a,x,ae,ee,E,null)}generateTextureLoad(a,x,y,E,z,ee){E===null&&(E="0u"),ee&&(y=`${y} + ${ee}`);let te;return z?te=`textureLoad( ${x}, ${y}, ${z}, u32( ${E} ) )`:(te=`textureLoad( ${x}, ${y}, u32( ${E} ) )`,this.renderer.backend.compatibilityMode&&a.isDepthTexture&&(te+=".x")),te}generateTextureStore(a,x,y,E,z){let ee;return E?ee=`textureStore( ${x}, ${y}, ${E}, ${z} )`:ee=`textureStore( ${x}, ${y}, ${z} )`,ee}isSampleCompare(a){return a.isDepthTexture===!0&&a.compareFunction!==null}isUnfilterable(a){return this.getComponentTypeFromTexture(a)!=="float"||!this.isAvailable("float32Filterable")&&a.isDataTexture===!0&&a.type===zl||this.isSampleCompare(a)===!1&&a.minFilter===Do&&a.magFilter===Do||this.renderer.backend.utils.getTextureSampleData(a).primarySamples>1}generateTexture(a,x,y,E,z,ee=this.shaderStage){let te=null;return this.isUnfilterable(a)?te=this.generateTextureLod(a,x,y,E,z,"0",ee):te=this._generateTextureSample(a,x,y,E,z,ee),te}generateTextureGrad(a,x,y,E,z,ee,te=this.shaderStage){if(te==="fragment")return ee?`textureSampleGrad( ${x}, ${x}_sampler, ${y},  ${E[0]}, ${E[1]}, ${ee} )`:`textureSampleGrad( ${x}, ${x}_sampler, ${y},  ${E[0]}, ${E[1]} )`;cr(`WebGPURenderer: THREE.TextureNode.gradient() does not support ${te} shader.`)}generateTextureCompare(a,x,y,E,z,ee,te=this.shaderStage){if(te==="fragment")return a.isDepthTexture===!0&&a.isArrayTexture===!0?ee?`textureSampleCompare( ${x}, ${x}_sampler, ${y}, ${z}, ${E}, ${ee} )`:`textureSampleCompare( ${x}, ${x}_sampler, ${y}, ${z}, ${E} )`:ee?`textureSampleCompare( ${x}, ${x}_sampler, ${y}, ${E}, ${ee} )`:`textureSampleCompare( ${x}, ${x}_sampler, ${y}, ${E} )`;cr(`WebGPURenderer: THREE.DepthTexture.compareFunction() does not support ${te} shader.`)}generateTextureLevel(a,x,y,E,z,ee){return this.isUnfilterable(a)===!1?ee?`textureSampleLevel( ${x}, ${x}_sampler, ${y}, ${E}, ${ee} )`:`textureSampleLevel( ${x}, ${x}_sampler, ${y}, ${E} )`:this.isFilteredTexture(a)?this.generateFilteredTexture(a,x,y,ee,E):this.generateTextureLod(a,x,y,z,ee,E)}generateTextureBias(a,x,y,E,z,ee,te=this.shaderStage){if(te==="fragment")return ee?`textureSampleBias( ${x}, ${x}_sampler, ${y}, ${E}, ${ee} )`:`textureSampleBias( ${x}, ${x}_sampler, ${y}, ${E} )`;cr(`WebGPURenderer: THREE.TextureNode.biasNode does not support ${te} shader.`)}getPropertyName(a,x=this.shaderStage){if(a.isNodeVarying===!0&&a.needsInterpolation===!0){if(x==="vertex")return`varyings.${a.name}`}else if(a.isNodeUniform===!0){const y=a.name,E=a.type;return E==="texture"||E==="cubeTexture"||E==="storageTexture"||E==="texture3D"?y:E==="buffer"||E==="storageBuffer"||E==="indirectStorageBuffer"?this.isCustomStruct(a)?y:y+".value":a.groupNode.name+"."+y}return super.getPropertyName(a)}getOutputStructName(){return"output"}getFunctionOperator(a){const x=bee[a];return x!==void 0?(this._include(x),x):null}getNodeAccess(a,x){return x!=="compute"?a.isAtomic===!0?(wn("WebGPURenderer: Atomic operations are only supported in compute shaders."),Sd.READ_WRITE):Sd.READ_ONLY:a.access}getStorageAccess(a,x){return yee[this.getNodeAccess(a,x)]}getUniformFromNode(a,x,y,E=null){const z=super.getUniformFromNode(a,x,y,E),ee=this.getDataFromNode(a,y,this.globalCache);if(ee.uniformGPU===void 0){let te;const ne=a.groupNode,ie=ne.name,ae=this.getBindGroupArray(ie,y);if(x==="texture"||x==="cubeTexture"||x==="storageTexture"||x==="texture3D"){let oe=null;const le=this.getNodeAccess(a,y);if(x==="texture"||x==="storageTexture"?a.value.is3DTexture===!0?oe=new 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${y.vars}
${y.code}
`;return y.result&&(z+=`	return ${y.result};
`),z+=`
}
`,z}getInstanceIndex(){return this.shaderStage==="vertex"?this.getBuiltin("instance_index","instanceIndex","u32","attribute"):"instanceIndex"}getInvocationLocalIndex(){return this.getBuiltin("local_invocation_index","invocationLocalIndex","u32","attribute")}getSubgroupSize(){return this.enableSubGroups(),this.getBuiltin("subgroup_size","subgroupSize","u32","attribute")}getInvocationSubgroupIndex(){return this.enableSubGroups(),this.getBuiltin("subgroup_invocation_id","invocationSubgroupIndex","u32","attribute")}getSubgroupIndex(){return this.enableSubGroups(),this.getBuiltin("subgroup_id","subgroupIndex","u32","attribute")}getDrawIndex(){return null}getFrontFacing(){return this.getBuiltin("front_facing","isFront","bool")}getFragCoord(){return this.getBuiltin("position","fragCoord","vec4<f32>")+".xy"}getFragDepth(){return"output."+this.getBuiltin("frag_depth","depth","f32","output")}getClipDistance(){return"varyings.hw_clip_distances"}isFlipY(){return!1}enableDirective(a,x=this.shaderStage){(this.directives[x]||(this.directives[x]=new Set)).add(a)}getDirectives(a){const x=[],y=this.directives[a];if(y!==void 0)for(const E of y)x.push(`enable ${E};`);return x.join(`
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`)}getStructs(a){let x="";const y=this.structs[a];if(y.length>0){const E=[];for(const z of y){let ee=`struct ${z.name} {
`;ee+=this.getStructMembers(z),ee+=`
};`,E.push(ee)}x=`
`+E.join(`

`)+`
`}return x}getVar(a,x,y=null){let E=`var ${x} : `;return y!==null?E+=this.generateArrayDeclaration(a,y):E+=this.getType(a),E}getVars(a){const x=[],y=this.vars[a];if(y!==void 0)for(const E of y)x.push(`	${this.getVar(E.type,E.name,E.count)};`);return`
${x.join(`
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`}getVaryings(a){const x=[];if(a==="vertex"&&this.getBuiltin("position","Vertex","vec4<f32>","vertex"),a==="vertex"||a==="fragment"){const z=this.varyings,ee=this.vars[a];for(let te=0;te<z.length;te++){const ne=z[te];if(ne.needsInterpolation){let ie=`@location( ${te} )`;if(ne.interpolationType){const ae=ne.interpolationSampling!==null?`, ${ne.interpolationSampling} )`:" )";ie+=` @interpolate( ${ne.interpolationType}${ae}`}else/^(int|uint|ivec|uvec)/.test(ne.type)&&(ie+=` @interpolate( ${this.renderer.backend.compatibilityMode?"flat, either":"flat"} )`);x.push(`${ie} ${ne.name} : ${this.getType(ne.type)}`)}else a==="vertex"&&ee.includes(ne)===!1&&ee.push(ne)}}const y=this.getBuiltins(a);y&&x.push(y);const E=x.join(`,
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`),"uniform",ie.index,ie.id))}let te=y.join(`
`);return te+=E.join(`
`),te+=z.join(`
`),te}buildCode(){const a=this.material!==null?{fragment:{},vertex:{}}:{compute:{}};this.sortBindingGroups();for(const x in a){this.shaderStage=x;const y=a[x];y.uniforms=this.getUniforms(x),y.attributes=this.getAttributes(x),y.varyings=this.getVaryings(x),y.structs=this.getStructs(x),y.vars=this.getVars(x),y.codes=this.getCodes(x),y.directives=this.getDirectives(x),y.scopedArrays=this.getScopedArrays(x);let E=`// code

`;E+=this.flowCode[x];const z=this.flowNodes[x],ee=z[z.length-1],te=ee.outputNode,ne=te!==void 0&&te.isOutputStructNode===!0;for(const ie of z){const ae=this.getFlowData(ie),oe=ie.name;if(oe&&(E.length>0&&(E+=`
`),E+=`	// flow -> ${oe}
`),E+=`${ae.code}
	`,ie===ee&&x!=="compute"){if(E+=`// result

	`,x==="vertex")E+=`varyings.Vertex = ${ae.result};`;else if(x==="fragment")if(ne)y.returnType=te.getNodeType(this),y.structs+="var<private> output : "+y.returnType+";",E+=`return ${ae.result};`;else{let le="	@location(0) color: vec4<f32>";const ue=this.getBuiltins("output");ue&&(le+=`,
	`+ue),y.returnType="OutputStruct",y.structs+=this._getWGSLStruct("OutputStruct",le),y.structs+=`
var<private> output : OutputStruct;`,E+=`output.color = ${ae.result};

	return output;`}}}y.flow=E}if(this.shaderStage=null,this.material!==null)this.vertexShader=this._getWGSLVertexCode(a.vertex),this.fragmentShader=this._getWGSLFragmentCode(a.fragment);else{const x=this.object.workgroupSize;this.computeShader=this._getWGSLComputeCode(a.compute,x)}}getMethod(a,x=null){let y;return x!==null&&(y=this._getWGSLMethod(a+"_"+x)),y===void 0&&(y=this._getWGSLMethod(a)),y||a}getBitcastMethod(a){return`bitcast<${this.getType(a)}>`}getTernary(a,x,y){return`select( ${y}, ${x}, ${a} )`}getType(a){return Eee[a]||a}isAvailable(a){let x=Z6[a];return x===void 0&&(a==="float32Filterable"?x=this.renderer.hasFeature("float32-filterable"):a==="clipDistance"&&(x=this.renderer.hasFeature("clip-distances")),Z6[a]=x),x}_getWGSLMethod(a){return t1[a]!==void 0&&this._include(a),wee[a]}_include(a){const x=t1[a];return x.build(this),this.addInclude(x),x}_getWGSLVertexCode(a){return`${this.getSignature()}
// directives
${a.directives}

// structs
${a.structs}

// uniforms
${a.uniforms}

// varyings
${a.varyings}
var<private> varyings : VaryingsStruct;

// codes
${a.codes}

@vertex
fn main( ${a.attributes} ) -> VaryingsStruct {

	// vars
	${a.vars}

	// flow
	${a.flow}

	return varyings;

}
`}_getWGSLFragmentCode(a){return`${this.getSignature()}
// global
${J6}

// structs
${a.structs}

// uniforms
${a.uniforms}

// codes
${a.codes}

@fragment
fn main( ${a.varyings} ) -> ${a.returnType} {

	// vars
	${a.vars}

	// flow
	${a.flow}

}
`}_getWGSLComputeCode(a,x){const[y,E,z]=x;return`${this.getSignature()}
// directives
${a.directives}

// system
var<private> instanceIndex : u32;

// locals
${a.scopedArrays}

// structs
${a.structs}

// uniforms
${a.uniforms}

// codes
${a.codes}

@compute @workgroup_size( ${y}, ${E}, ${z} )
fn main( ${a.attributes} ) {

	// system
	instanceIndex = globalId.x
		+ globalId.y * ( ${y} * numWorkgroups.x )
		+ globalId.z * ( ${y} * numWorkgroups.x ) * ( ${E} * numWorkgroups.y );

	// vars
	${a.vars}

	// flow
	${a.flow}

}
`}_getWGSLStruct(a,x){return`
struct ${a} {
${x}
};`}_getWGSLStructBinding(a,x,y,E=0,z=0){const ee=a+"Struct";return`${this._getWGSLStruct(ee,x)}
@binding( ${E} ) @group( ${z} )
var<${y}> ${a} : ${ee};`}}class Pee{constructor(a){this.backend=a}getCurrentDepthStencilFormat(a){let x;return a.depthTexture!==null?x=this.getTextureFormatGPU(a.depthTexture):a.depth&&a.stencil?x=cn.Depth24PlusStencil8:a.depth&&(x=cn.Depth24Plus),x}getTextureFormatGPU(a){return this.backend.get(a).format}getTextureSampleData(a){let x;if(a.isFramebufferTexture)x=1;else if(a.isDepthTexture&&!a.renderTarget){const z=this.backend.renderer,ee=z.getRenderTarget();x=ee?ee.samples:z.currentSamples}else a.renderTarget&&(x=a.renderTarget.samples);x=x||1;const y=x>1&&a.renderTarget!==null&&a.isDepthTexture!==!0&&a.isFramebufferTexture!==!0;return{samples:x,primarySamples:y?1:x,isMSAA:y}}getCurrentColorFormat(a){let x;return a.textures!==null?x=this.getTextureFormatGPU(a.textures[0]):x=this.getPreferredCanvasFormat(),x}getCurrentColorFormats(a){return a.textures!==null?a.textures.map(x=>this.getTextureFormatGPU(x)):[this.getPreferredCanvasFormat()]}getCurrentColorSpace(a){return a.textures!==null?a.textures[0].colorSpace:this.backend.renderer.outputColorSpace}getPrimitiveTopology(a,x){if(a.isPoints)return Ox.PointList;if(a.isLineSegments||a.isMesh&&x.wireframe===!0)return Ox.LineList;if(a.isLine)return Ox.LineStrip;if(a.isMesh)return Ox.TriangleList}getSampleCount(a){return a>=4?4:1}getSampleCountRenderContext(a){return a.textures!==null?this.getSampleCount(a.sampleCount):this.getSampleCount(this.backend.renderer.currentSamples)}getPreferredCanvasFormat(){const a=this.backend.parameters.outputType;if(a===void 0)return navigator.gpu.getPreferredCanvasFormat();if(a===yl)return cn.BGRA8Unorm;if(a===bl)return cn.RGBA16Float;throw new Error("Unsupported outputType")}}const K6=new Map([[Int8Array,["sint8","snorm8"]],[Uint8Array,["uint8","unorm8"]],[Int16Array,["sint16","snorm16"]],[Uint16Array,["uint16","unorm16"]],[Int32Array,["sint32","snorm32"]],[Uint32Array,["uint32","unorm32"]],[Float32Array,["float32"]]]);typeof Float16Array!="undefined"&&K6.set(Float16Array,["float16"]);const See=new Map([[NB,["float16"]]]),Bee=new Map([[Int32Array,"sint32"],[Int16Array,"sint32"],[Uint32Array,"uint32"],[Uint16Array,"uint32"],[Float32Array,"float32"]]);class Mee{constructor(a){this.backend=a}createAttribute(a,x){const y=this._getBufferAttribute(a),E=this.backend,z=E.get(y);let ee=z.buffer;if(ee===void 0){const te=E.device;let ne=y.array;if(a.normalized===!1){if(ne.constructor===Int16Array||ne.constructor===Int8Array)ne=new Int32Array(ne);else if((ne.constructor===Uint16Array||ne.constructor===Uint8Array)&&(ne=new Uint32Array(ne),x&GPUBufferUsage.INDEX))for(let oe=0;oe<ne.length;oe++)ne[oe]===65535&&(ne[oe]=4294967295)}if(y.array=ne,(y.isStorageBufferAttribute||y.isStorageInstancedBufferAttribute)&&y.itemSize===3){ne=new ne.constructor(y.count*4);for(let oe=0;oe<y.count;oe++)ne.set(y.array.subarray(oe*3,oe*3+3),oe*4);y.itemSize=4,y.array=ne,z._force3to4BytesAlignment=!0}const ie=ne.byteLength,ae=ie+(4-ie%4)%4;ee=te.createBuffer({label:y.name,size:ae,usage:x,mappedAtCreation:!0}),new ne.constructor(ee.getMappedRange()).set(ne),ee.unmap(),z.buffer=ee}}updateAttribute(a){const x=this._getBufferAttribute(a),y=this.backend,E=y.device,z=y.get(x),ee=y.get(x).buffer;let te=x.array;if(z._force3to4BytesAlignment===!0){te=new te.constructor(x.count*4);for(let ae=0;ae<x.count;ae++)te.set(x.array.subarray(ae*3,ae*3+3),ae*4);x.array=te}const ne=this._isTypedArray(te),ie=x.updateRanges;if(ie.length===0)E.queue.writeBuffer(ee,0,te,0);else{const ae=ne?1:te.BYTES_PER_ELEMENT;for(let oe=0,le=ie.length;oe<le;oe++){const ue=ie[oe];let he,xe;if(z._force3to4BytesAlignment===!0){const me=Math.floor(ue.start/3),Pe=Math.ceil(ue.count/3);he=me*4*ae,xe=Pe*4*ae}else he=ue.start*ae,xe=ue.count*ae;const ve=he*(ne?te.BYTES_PER_ELEMENT:1);E.queue.writeBuffer(ee,ve,te,he,xe)}x.clearUpdateRanges()}}createShaderVertexBuffers(a){const x=a.getAttributes(),y=new Map;for(let E=0;E<x.length;E++){const z=x[E],ee=z.array.BYTES_PER_ELEMENT,te=this._getBufferAttribute(z);let ne=y.get(te);if(ne===void 0){let oe,le;z.isInterleavedBufferAttribute===!0?(oe=z.data.stride*ee,le=z.data.isInstancedInterleavedBuffer?eC.Instance:eC.Vertex):(oe=z.itemSize*ee,le=z.isInstancedBufferAttribute?eC.Instance:eC.Vertex),z.normalized===!1&&(z.array.constructor===Int16Array||z.array.constructor===Uint16Array)&&(oe=4),ne={arrayStride:oe,attributes:[],stepMode:le},y.set(te,ne)}const ie=this._getVertexFormat(z),ae=z.isInterleavedBufferAttribute===!0?z.offset*ee:0;ne.attributes.push({shaderLocation:E,offset:ae,format:ie})}return Array.from(y.values())}destroyAttribute(a){const x=this.backend;x.get(this._getBufferAttribute(a)).buffer.destroy(),x.delete(a)}getArrayBufferAsync(a){return ca(this,null,function*(){const x=this.backend,y=x.device,z=x.get(this._getBufferAttribute(a)).buffer,ee=z.size,te=y.createBuffer({label:`${a.name}_readback`,size:ee,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ}),ne=y.createCommandEncoder({label:`readback_encoder_${a.name}`});ne.copyBufferToBuffer(z,0,te,0,ee);const ie=ne.finish();y.queue.submit([ie]),yield te.mapAsync(GPUMapMode.READ);const ae=te.getMappedRange(),oe=new a.array.constructor(ae.slice(0));return te.unmap(),oe.buffer})}_getVertexFormat(a){const{itemSize:x,normalized:y}=a,E=a.array.constructor,z=a.constructor;let ee;if(x===1)ee=Bee.get(E);else{const ne=(See.get(z)||K6.get(E))[y?1:0];if(ne){const ie=E.BYTES_PER_ELEMENT*x,oe=Math.floor((ie+3)/4)*4/E.BYTES_PER_ELEMENT;if(oe%1)throw new Error("THREE.WebGPUAttributeUtils: Bad vertex format item size.");ee=`${ne}x${oe}`}}return ee||cr("WebGPUAttributeUtils: Vertex format not supported yet."),ee}_isTypedArray(a){return ArrayBuffer.isView(a)&&!(a instanceof DataView)}_getBufferAttribute(a){return a.isInterleavedBufferAttribute&&(a=a.data),a}}class Tee{constructor(a){this.backend=a,this.bindGroupLayoutCache=new WeakMap}createBindingsLayout(a){const x=this.backend,y=x.device,E=[];let z=0;for(const ee of a.bindings){const te={binding:z++,visibility:ee.visibility};if(ee.isUniformBuffer||ee.isStorageBuffer){const ne={};ee.isStorageBuffer&&(ee.visibility&4&&(ee.access===Sd.READ_WRITE||ee.access===Sd.WRITE_ONLY)?ne.type=g5.Storage:ne.type=g5.ReadOnlyStorage),te.buffer=ne}else if(ee.isSampledTexture&&ee.store){const ne={};ne.format=this.backend.get(ee.texture).texture.format;const ie=ee.access;ie===Sd.READ_WRITE?ne.access=v5.ReadWrite:ie===Sd.WRITE_ONLY?ne.access=v5.WriteOnly:ne.access=v5.ReadOnly,ee.texture.isArrayTexture?ne.viewDimension=Lc.TwoDArray:ee.texture.is3DTexture&&(ne.viewDimension=Lc.ThreeD),te.storageTexture=ne}else if(ee.isSampledTexture){const ne={},{primarySamples:ie}=x.utils.getTextureSampleData(ee.texture);if(ie>1&&(ne.multisampled=!0,ee.texture.isDepthTexture||(ne.sampleType=aA.UnfilterableFloat)),ee.texture.isDepthTexture)x.compatibilityMode&&ee.texture.compareFunction===null?ne.sampleType=aA.UnfilterableFloat:ne.sampleType=aA.Depth;else if(ee.texture.isDataTexture||ee.texture.isDataArrayTexture||ee.texture.isData3DTexture){const ae=ee.texture.type;ae===pu?ne.sampleType=aA.SInt:ae===fl?ne.sampleType=aA.UInt:ae===zl&&(this.backend.hasFeature("float32-filterable")?ne.sampleType=aA.Float:ne.sampleType=aA.UnfilterableFloat)}ee.isSampledCubeTexture?ne.viewDimension=Lc.Cube:ee.texture.isArrayTexture||ee.texture.isDataArrayTexture||ee.texture.isCompressedArrayTexture?ne.viewDimension=Lc.TwoDArray:ee.isSampledTexture3D&&(ne.viewDimension=Lc.ThreeD),te.texture=ne}else if(ee.isSampler){const ne={};ee.texture.isDepthTexture&&(ee.texture.compareFunction!==null?ne.type=V6.Comparison:x.compatibilityMode&&(ne.type=V6.NonFiltering)),te.sampler=ne}else cr(`WebGPUBindingUtils: Unsupported binding "${ee}".`);E.push(te)}return y.createBindGroupLayout({entries:E})}createBindings(a,x,y,E=0){const{backend:z,bindGroupLayoutCache:ee}=this,te=z.get(a);let ne=ee.get(a.bindingsReference);ne===void 0&&(ne=this.createBindingsLayout(a),ee.set(a.bindingsReference,ne));let ie;y>0&&(te.groups===void 0&&(te.groups=[],te.versions=[]),te.versions[y]===E&&(ie=te.groups[y])),ie===void 0&&(ie=this.createBindGroup(a,ne),y>0&&(te.groups[y]=ie,te.versions[y]=E)),te.group=ie,te.layout=ne}updateBinding(a){const x=this.backend,y=x.device,E=a.buffer,z=x.get(a).buffer;y.queue.writeBuffer(z,0,E,0)}createBindGroupIndex(a,x){const E=this.backend.device,z=GPUBufferUsage.UNIFORM|GPUBufferUsage.COPY_DST,ee=a[0],te=E.createBuffer({label:"bindingCameraIndex_"+ee,size:16,usage:z});E.queue.writeBuffer(te,0,a,0);const ne=[{binding:0,resource:{buffer:te}}];return E.createBindGroup({label:"bindGroupCameraIndex_"+ee,layout:x,entries:ne})}createBindGroup(a,x){const y=this.backend,E=y.device;let z=0;const ee=[];for(const te of a.bindings){if(te.isUniformBuffer){const ne=y.get(te);if(ne.buffer===void 0){const ie=te.byteLength,ae=GPUBufferUsage.UNIFORM|GPUBufferUsage.COPY_DST,oe=E.createBuffer({label:"bindingBuffer_"+te.name,size:ie,usage:ae});ne.buffer=oe}ee.push({binding:z,resource:{buffer:ne.buffer}})}else if(te.isStorageBuffer){const ne=y.get(te);if(ne.buffer===void 0){const ie=te.attribute;ne.buffer=y.get(ie).buffer}ee.push({binding:z,resource:{buffer:ne.buffer}})}else if(te.isSampledTexture){const ne=y.get(te.texture);let ie;if(ne.externalTexture!==void 0)ie=E.importExternalTexture({source:ne.externalTexture});else{const ae=te.store?1:ne.texture.mipLevelCount,oe=te.store?te.mipLevel:0;let le=`view-${ne.texture.width}-${ne.texture.height}`;if(ne.texture.depthOrArrayLayers>1&&(le+=`-${ne.texture.depthOrArrayLayers}`),le+=`-${ae}-${oe}`,ie=ne[le],ie===void 0){const ue=aee.All;let he;te.isSampledCubeTexture?he=Lc.Cube:te.isSampledTexture3D?he=Lc.ThreeD:te.texture.isArrayTexture||te.texture.isDataArrayTexture||te.texture.isCompressedArrayTexture?he=Lc.TwoDArray:he=Lc.TwoD,ie=ne[le]=ne.texture.createView({aspect:ue,dimension:he,mipLevelCount:ae,baseMipLevel:oe})}}ee.push({binding:z,resource:ie})}else if(te.isSampler){const ne=y.get(te.texture);ee.push({binding:z,resource:ne.sampler})}z++}return E.createBindGroup({label:"bindGroup_"+a.name,layout:x,entries:ee})}}class Dee{constructor(a){this.backend=a,this._activePipelines=new WeakMap}setPipeline(a,x){this._activePipelines.get(a)!==x&&(a.setPipeline(x),this._activePipelines.set(a,x))}_getSampleCount(a){return this.backend.utils.getSampleCountRenderContext(a)}createRenderPipeline(a,x){const{object:y,material:E,geometry:z,pipeline:ee}=a,{vertexProgram:te,fragmentProgram:ne}=ee,ie=this.backend,ae=ie.device,oe=ie.utils,le=ie.get(ee),ue=[];for(const pt of a.getBindings()){const st=ie.get(pt);ue.push(st.layout)}const he=ie.attributeUtils.createShaderVertexBuffers(a);let xe;E.blending!==tu&&(E.blending!==cc||E.transparent!==!1)&&(xe=this._getBlending(E));let ve={};E.stencilWrite===!0&&(ve={compare:this._getStencilCompare(E),failOp:this._getStencilOperation(E.stencilFail),depthFailOp:this._getStencilOperation(E.stencilZFail),passOp:this._getStencilOperation(E.stencilZPass)});const me=this._getColorWriteMask(E),Pe=[];if(a.context.textures!==null){const pt=a.context.textures;for(let st=0;st<pt.length;st++){const Ft=oe.getTextureFormatGPU(pt[st]);Pe.push({format:Ft,blend:xe,writeMask:me})}}else{const pt=oe.getCurrentColorFormat(a.context);Pe.push({format:pt,blend:xe,writeMask:me})}const we=ie.get(te).module,Me=ie.get(ne).module,Le=this._getPrimitiveState(y,z,E),De=this._getDepthCompare(E),ke=oe.getCurrentDepthStencilFormat(a.context),ze=this._getSampleCount(a.context),He={label:`renderPipeline_${E.name||E.type}_${E.id}`,vertex:Object.assign({},we,{buffers:he}),fragment:Object.assign({},Me,{targets:Pe}),primitive:Le,multisample:{count:ze,alphaToCoverageEnabled:E.alphaToCoverage&&ze>1},layout:ae.createPipelineLayout({bindGroupLayouts:ue})},Re={},Fe=a.context.depth,$e=a.context.stencil;if((Fe===!0||$e===!0)&&(Fe===!0&&(Re.format=ke,Re.depthWriteEnabled=E.depthWrite,Re.depthCompare=De),$e===!0&&(Re.stencilFront=ve,Re.stencilBack={},Re.stencilReadMask=E.stencilFuncMask,Re.stencilWriteMask=E.stencilWriteMask),E.polygonOffset===!0&&(Re.depthBias=E.polygonOffsetUnits,Re.depthBiasSlopeScale=E.polygonOffsetFactor,Re.depthBiasClamp=0),He.depthStencil=Re),ae.pushErrorScope("validation"),x===null)le.pipeline=ae.createRenderPipeline(He),ae.popErrorScope().then(pt=>{pt!==null&&(le.error=!0,cr(pt.message))});else{const pt=new Promise(st=>ca(this,null,function*(){try{le.pipeline=yield ae.createRenderPipelineAsync(He)}catch(an){}const Ft=yield ae.popErrorScope();Ft!==null&&(le.error=!0,cr(Ft.message)),st()}));x.push(pt)}}createBundleEncoder(a,x="renderBundleEncoder"){const y=this.backend,{utils:E,device:z}=y,ee=E.getCurrentDepthStencilFormat(a),te=E.getCurrentColorFormats(a),ne=this._getSampleCount(a),ie={label:x,colorFormats:te,depthStencilFormat:ee,sampleCount:ne};return z.createRenderBundleEncoder(ie)}createComputePipeline(a,x){const y=this.backend,E=y.device,z=y.get(a.computeProgram).module,ee=y.get(a),te=[];for(const ne of x){const ie=y.get(ne);te.push(ie.layout)}ee.pipeline=E.createComputePipeline({compute:z,layout:E.createPipelineLayout({bindGroupLayouts:te})})}_getBlending(a){let x,y;const E=a.blending,z=a.blendSrc,ee=a.blendDst,te=a.blendEquation;if(E===hf){const ne=a.blendSrcAlpha!==null?a.blendSrcAlpha:z,ie=a.blendDstAlpha!==null?a.blendDstAlpha:ee,ae=a.blendEquationAlpha!==null?a.blendEquationAlpha:te;x={srcFactor:this._getBlendFactor(z),dstFactor:this._getBlendFactor(ee),operation:this._getBlendOperation(te)},y={srcFactor:this._getBlendFactor(ne),dstFactor:this._getBlendFactor(ie),operation:this._getBlendOperation(ae)}}else{const ne=a.premultipliedAlpha,ie=(ae,oe,le,ue)=>{x={srcFactor:ae,dstFactor:oe,operation:sA.Add},y={srcFactor:le,dstFactor:ue,operation:sA.Add}};if(ne)switch(E){case cc:ie(Vo.One,Vo.OneMinusSrcAlpha,Vo.One,Vo.OneMinusSrcAlpha);break;case Hd:ie(Vo.One,Vo.One,Vo.One,Vo.One);break;case xl:ie(Vo.Zero,Vo.OneMinusSrc,Vo.Zero,Vo.One);break;case Gu:ie(Vo.Dst,Vo.OneMinusSrcAlpha,Vo.Zero,Vo.One);break}else switch(E){case cc:ie(Vo.SrcAlpha,Vo.OneMinusSrcAlpha,Vo.One,Vo.OneMinusSrcAlpha);break;case Hd:ie(Vo.SrcAlpha,Vo.One,Vo.One,Vo.One);break;case xl:cr("WebGPURenderer: SubtractiveBlending requires material.premultipliedAlpha = true");break;case Gu:cr("WebGPURenderer: MultiplyBlending requires material.premultipliedAlpha = true");break}}if(x!==void 0&&y!==void 0)return{color:x,alpha:y};cr("WebGPURenderer: Invalid blending: ",E)}_getBlendFactor(a){let x;switch(a){case Sc:x=Vo.Zero;break;case Ud:x=Vo.One;break;case Hc:x=Vo.Src;break;case kh:x=Vo.OneMinusSrc;break;case td:x=Vo.SrcAlpha;break;case Bc:x=Vo.OneMinusSrcAlpha;break;case rd:x=Vo.Dst;break;case rh:x=Vo.OneMinusDst;break;case Mc:x=Vo.DstAlpha;break;case nd:x=Vo.OneMinusDstAlpha;break;case Hh:x=Vo.SrcAlphaSaturated;break;case wY:x=Vo.Constant;break;case CY:x=Vo.OneMinusConstant;break;default:cr("WebGPURenderer: Blend factor not supported.",a)}return x}_getStencilCompare(a){let x;const y=a.stencilFunc;switch(y){case Ys:x=Td.Never;break;case Yl:x=Td.Always;break;case to:x=Td.Less;break;case Ou:x=Td.LessEqual;break;case hl:x=Td.Equal;break;case Gc:x=Td.GreaterEqual;break;case Zl:x=Td.Greater;break;case sd:x=Td.NotEqual;break;default:cr("WebGPURenderer: Invalid stencil function.",y)}return x}_getStencilOperation(a){let x;switch(a){case Dr:x=q0.Keep;break;case gr:x=q0.Zero;break;case ni:x=q0.Replace;break;case ia:x=q0.Invert;break;case Ei:x=q0.IncrementClamp;break;case Ji:x=q0.DecrementClamp;break;case bi:x=q0.IncrementWrap;break;case fs:x=q0.DecrementWrap;break;default:cr("WebGPURenderer: Invalid stencil operation.",x)}return x}_getBlendOperation(a){let x;switch(a){case uu:x=sA.Add;break;case Dl:x=sA.Subtract;break;case Pc:x=sA.ReverseSubtract;break;case dc:x=sA.Min;break;case Mp:x=sA.Max;break;default:cr("WebGPUPipelineUtils: Blend equation not supported.",a)}return x}_getPrimitiveState(a,x,y){const E={},z=this.backend.utils;E.topology=z.getPrimitiveTopology(a,y),x.index!==null&&a.isLine===!0&&a.isLineSegments!==!0&&(E.stripIndexFormat=x.index.array instanceof Uint16Array?zx.Uint16:zx.Uint32);let ee=y.side===co;return a.isMesh&&a.matrixWorld.determinant()<0&&(ee=!ee),E.frontFace=ee===!0?H6.CW:H6.CCW,E.cullMode=y.side===Ko?U6.None:U6.Back,E}_getColorWriteMask(a){return a.colorWrite===!0?j6.All:j6.None}_getDepthCompare(a){let x;if(a.depthTest===!1)x=Td.Always;else{const y=a.depthFunc;switch(y){case Ad:x=Td.Never;break;case Ff:x=Td.Always;break;case jd:x=Td.Less;break;case xd:x=Td.LessEqual;break;case Tc:x=Td.Equal;break;case Uc:x=Td.GreaterEqual;break;case yd:x=Td.Greater;break;case oh:x=Td.NotEqual;break;default:cr("WebGPUPipelineUtils: Invalid depth function.",y)}}return x}}class Iee extends z6{constructor(a,x,y=2048){super(y),this.device=a,this.type=x,this.querySet=this.device.createQuerySet({type:"timestamp",count:this.maxQueries,label:`queryset_global_timestamp_${x}`});const E=this.maxQueries*8;this.resolveBuffer=this.device.createBuffer({label:`buffer_timestamp_resolve_${x}`,size:E,usage:GPUBufferUsage.QUERY_RESOLVE|GPUBufferUsage.COPY_SRC}),this.resultBuffer=this.device.createBuffer({label:`buffer_timestamp_result_${x}`,size:E,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ})}allocateQueriesForContext(a){if(!this.trackTimestamp||this.isDisposed)return null;if(this.currentQueryIndex+2>this.maxQueries)return no(`WebGPUTimestampQueryPool [${this.type}]: Maximum number of queries exceeded, when using trackTimestamp it is necessary to resolves the queries via renderer.resolveTimestampsAsync( THREE.TimestampQuery.${this.type.toUpperCase()} ).`),null;const x=this.currentQueryIndex;return this.currentQueryIndex+=2,this.queryOffsets.set(a,x),x}resolveQueriesAsync(){return ca(this,null,function*(){if(!this.trackTimestamp||this.currentQueryIndex===0||this.isDisposed)return this.lastValue;if(this.pendingResolve)return this.pendingResolve;this.pendingResolve=this._resolveQueries();try{return yield this.pendingResolve}finally{this.pendingResolve=null}})}_resolveQueries(){return ca(this,null,function*(){if(this.isDisposed)return this.lastValue;try{if(this.resultBuffer.mapState!=="unmapped")return this.lastValue;const a=new Map(this.queryOffsets),x=this.currentQueryIndex,y=x*8;this.currentQueryIndex=0,this.queryOffsets.clear();const E=this.device.createCommandEncoder();E.resolveQuerySet(this.querySet,0,x,this.resolveBuffer,0),E.copyBufferToBuffer(this.resolveBuffer,0,this.resultBuffer,0,y);const z=E.finish();if(this.device.queue.submit([z]),this.resultBuffer.mapState!=="unmapped")return this.lastValue;if(yield this.resultBuffer.mapAsync(GPUMapMode.READ,0,y),this.isDisposed)return this.resultBuffer.mapState==="mapped"&&this.resultBuffer.unmap(),this.lastValue;const ee=new BigUint64Array(this.resultBuffer.getMappedRange(0,y)),te={},ne=[];for(const[ae,oe]of a){const le=ae.match(/^(.*):f(\d+)$/),ue=parseInt(le[2]);ne.includes(ue)===!1&&ne.push(ue),te[ue]===void 0&&(te[ue]=0);const he=ee[oe],xe=ee[oe+1],ve=Number(xe-he)/1e6;this.timestamps.set(ae,ve),te[ue]+=ve}const ie=te[ne[ne.length-1]];return this.resultBuffer.unmap(),this.lastValue=ie,this.frames=ne,ie}catch(a){return a("Error resolving queries:",a),this.resultBuffer.mapState==="mapped"&&this.resultBuffer.unmap(),this.lastValue}})}dispose(){return ca(this,null,function*(){if(!this.isDisposed){if(this.isDisposed=!0,this.pendingResolve)try{yield this.pendingResolve}catch(a){a("Error waiting for pending resolve:",a)}if(this.resultBuffer&&this.resultBuffer.mapState==="mapped")try{this.resultBuffer.unmap()}catch(a){a("Error unmapping buffer:",a)}this.querySet&&(this.querySet.destroy(),this.querySet=null),this.resolveBuffer&&(this.resolveBuffer.destroy(),this.resolveBuffer=null),this.resultBuffer&&(this.resultBuffer.destroy(),this.resultBuffer=null),this.queryOffsets.clear(),this.pendingResolve=null}})}}class y5 extends F6{constructor(a={}){super(a),this.isWebGPUBackend=!0,this.parameters.alpha=a.alpha===void 0?!0:a.alpha,this.parameters.compatibilityMode=a.compatibilityMode===void 0?!1:a.compatibilityMode,this.parameters.requiredLimits=a.requiredLimits===void 0?{}:a.requiredLimits,this.compatibilityMode=this.parameters.compatibilityMode,this.device=null,this.defaultRenderPassdescriptor=null,this.utils=new Pee(this),this.attributeUtils=new Mee(this),this.bindingUtils=new Tee(this),this.pipelineUtils=new Dee(this),this.textureUtils=new pee(this),this.occludedResolveCache=new Map}init(a){return ca(this,null,function*(){yield lR(y5.prototype,this,"init").call(this,a);const x=this.parameters;let y;if(x.device===void 0){const E={powerPreference:x.powerPreference,featureLevel:x.compatibilityMode?"compatibility":void 0},z=typeof navigator!="undefined"?yield navigator.gpu.requestAdapter(E):null;if(z===null)throw new Error("WebGPUBackend: Unable to create WebGPU adapter.");const ee=Object.values(A5),te=[];for(const ie of ee)z.features.has(ie)&&te.push(ie);const ne={requiredFeatures:te,requiredLimits:x.requiredLimits};y=yield z.requestDevice(ne)}else y=x.device;y.lost.then(E=>{const z={api:"WebGPU",message:E.message||"Unknown reason",reason:E.reason||null,originalEvent:E};a.onDeviceLost(z)}),this.device=y,this.trackTimestamp=this.trackTimestamp&&this.hasFeature(A5.TimestampQuery),this.updateSize()})}get context(){const a=this.renderer.getCanvasTarget(),x=this.get(a);let y=x.context;if(y===void 0){const E=this.parameters;a.isDefaultCanvasTarget===!0&&E.context!==void 0?y=E.context:y=a.domElement.getContext("webgpu"),"setAttribute"in a.domElement&&a.domElement.setAttribute("data-engine",`three.js r${Jo} webgpu`);const z=E.alpha?"premultiplied":"opaque",ee=E.outputType===bl?"extended":"standard";y.configure({device:this.device,format:this.utils.getPreferredCanvasFormat(),usage:GPUTextureUsage.RENDER_ATTACHMENT|GPUTextureUsage.COPY_SRC,alphaMode:z,toneMapping:{mode:ee}}),x.context=y}return y}get coordinateSystem(){return bt}getArrayBufferAsync(a){return ca(this,null,function*(){return yield this.attributeUtils.getArrayBufferAsync(a)})}getContext(){return this.context}_getDefaultRenderPassDescriptor(){const a=this.renderer,x=a.getCanvasTarget(),y=this.get(x),E=a.currentSamples;let z=y.descriptor;if(z===void 0||y.samples!==E){z={colorAttachments:[{view:null}]},(a.depth===!0||a.stencil===!0)&&(z.depthStencilAttachment={view:this.textureUtils.getDepthBuffer(a.depth,a.stencil).createView()});const te=z.colorAttachments[0];E>0?te.view=this.textureUtils.getColorBuffer().createView():te.resolveTarget=void 0,y.descriptor=z,y.samples=E}const ee=z.colorAttachments[0];return E>0?ee.resolveTarget=this.context.getCurrentTexture().createView():ee.view=this.context.getCurrentTexture().createView(),z}_isRenderCameraDepthArray(a){return a.depthTexture&&a.depthTexture.image.depth>1&&a.camera.isArrayCamera}_getRenderPassDescriptor(a,x={}){const y=a.renderTarget,E=this.get(y);let z=E.descriptors;(z===void 0||E.width!==y.width||E.height!==y.height||E.samples!==y.samples)&&(z={},E.descriptors=z);const ee=a.getCacheKey();let te=z[ee];if(te===void 0){const ie=a.textures,ae=[];let oe;const le=this._isRenderCameraDepthArray(a);for(let ue=0;ue<ie.length;ue++){const he=this.get(ie[ue]),xe={label:`colorAttachment_${ue}`,baseMipLevel:a.activeMipmapLevel,mipLevelCount:1,baseArrayLayer:a.activeCubeFace,arrayLayerCount:1,dimension:Lc.TwoD};if(y.isRenderTarget3D)oe=a.activeCubeFace,xe.baseArrayLayer=0,xe.dimension=Lc.ThreeD,xe.depthOrArrayLayers=ie[ue].image.depth;else if(y.isRenderTarget&&ie[ue].image.depth>1)if(le===!0){const ve=a.camera.cameras;for(let me=0;me<ve.length;me++){const Pe=gp($u({},xe),{baseArrayLayer:me,arrayLayerCount:1,dimension:Lc.TwoD}),we=he.texture.createView(Pe);ae.push({view:we,resolveTarget:void 0,depthSlice:void 0})}}else xe.dimension=Lc.TwoDArray,xe.depthOrArrayLayers=ie[ue].image.depth;if(le!==!0){const ve=he.texture.createView(xe);let me,Pe;he.msaaTexture!==void 0?(me=he.msaaTexture.createView(),Pe=ve):(me=ve,Pe=void 0),ae.push({view:me,resolveTarget:Pe,depthSlice:oe})}}if(te={textureViews:ae},a.depth){const ue=this.get(a.depthTexture),he={};a.depthTexture.isArrayTexture&&(he.dimension=Lc.TwoD,he.arrayLayerCount=1,he.baseArrayLayer=a.activeCubeFace),te.depthStencilView=ue.texture.createView(he)}z[ee]=te,E.width=y.width,E.height=y.height,E.samples=y.samples,E.activeMipmapLevel=a.activeMipmapLevel,E.activeCubeFace=a.activeCubeFace}const ne={colorAttachments:[]};for(let ie=0;ie<te.textureViews.length;ie++){const ae=te.textureViews[ie];let oe={r:0,g:0,b:0,a:1};ie===0&&x.clearValue&&(oe=x.clearValue),ne.colorAttachments.push({view:ae.view,depthSlice:ae.depthSlice,resolveTarget:ae.resolveTarget,loadOp:x.loadOp||Sl.Load,storeOp:x.storeOp||Cf.Store,clearValue:oe})}return te.depthStencilView&&(ne.depthStencilAttachment={view:te.depthStencilView}),ne}beginRender(a){const x=this.get(a),y=this.device,E=a.occlusionQueryCount;let z;E>0&&(x.currentOcclusionQuerySet&&x.currentOcclusionQuerySet.destroy(),x.currentOcclusionQueryBuffer&&x.currentOcclusionQueryBuffer.destroy(),x.currentOcclusionQuerySet=x.occlusionQuerySet,x.currentOcclusionQueryBuffer=x.occlusionQueryBuffer,x.currentOcclusionQueryObjects=x.occlusionQueryObjects,z=y.createQuerySet({type:"occlusion",count:E,label:`occlusionQuerySet_${a.id}`}),x.occlusionQuerySet=z,x.occlusionQueryIndex=0,x.occlusionQueryObjects=new Array(E),x.lastOcclusionObject=null);let ee;a.textures===null?ee=this._getDefaultRenderPassDescriptor():ee=this._getRenderPassDescriptor(a,{loadOp:Sl.Load}),this.initTimestampQuery(Mt.RENDER,this.getTimestampUID(a),ee),ee.occlusionQuerySet=z;const te=ee.depthStencilAttachment;if(a.textures!==null){const ie=ee.colorAttachments;for(let ae=0;ae<ie.length;ae++){const oe=ie[ae];a.clearColor?(oe.clearValue=ae===0?a.clearColorValue:{r:0,g:0,b:0,a:1},oe.loadOp=Sl.Clear):oe.loadOp=Sl.Load,oe.storeOp=Cf.Store}}else{const ie=ee.colorAttachments[0];a.clearColor?(ie.clearValue=a.clearColorValue,ie.loadOp=Sl.Clear):ie.loadOp=Sl.Load,ie.storeOp=Cf.Store}a.depth&&(a.clearDepth?(te.depthClearValue=a.clearDepthValue,te.depthLoadOp=Sl.Clear):te.depthLoadOp=Sl.Load,te.depthStoreOp=Cf.Store),a.stencil&&(a.clearStencil?(te.stencilClearValue=a.clearStencilValue,te.stencilLoadOp=Sl.Clear):te.stencilLoadOp=Sl.Load,te.stencilStoreOp=Cf.Store);const ne=y.createCommandEncoder({label:"renderContext_"+a.id});if(this._isRenderCameraDepthArray(a)===!0){const ie=a.camera.cameras;!x.layerDescriptors||x.layerDescriptors.length!==ie.length?this._createDepthLayerDescriptors(a,x,ee,ie):this._updateDepthLayerDescriptors(a,x,ie),x.bundleEncoders=[],x.bundleSets=[];for(let ae=0;ae<ie.length;ae++){const oe=this.pipelineUtils.createBundleEncoder(a,"renderBundleArrayCamera_"+ae),le={attributes:{},bindingGroups:[],pipeline:null,index:null};x.bundleEncoders.push(oe),x.bundleSets.push(le)}x.currentPass=null}else{const ie=ne.beginRenderPass(ee);x.currentPass=ie,a.viewport&&this.updateViewport(a),a.scissor&&this.updateScissor(a)}x.descriptor=ee,x.encoder=ne,x.currentSets={attributes:{},bindingGroups:[],pipeline:null,index:null},x.renderBundles=[]}_createDepthLayerDescriptors(a,x,y,E){const z=y.depthStencilAttachment;x.layerDescriptors=[];const ee=this.get(a.depthTexture);ee.viewCache||(ee.viewCache=[]);for(let te=0;te<E.length;te++){const ne=gp($u({},y),{colorAttachments:[gp($u({},y.colorAttachments[0]),{view:y.colorAttachments[te].view})]});if(y.depthStencilAttachment){const ie=te;ee.viewCache[ie]||(ee.viewCache[ie]=ee.texture.createView({dimension:Lc.TwoD,baseArrayLayer:te,arrayLayerCount:1})),ne.depthStencilAttachment={view:ee.viewCache[ie],depthLoadOp:z.depthLoadOp||Sl.Clear,depthStoreOp:z.depthStoreOp||Cf.Store,depthClearValue:z.depthClearValue||1},a.stencil&&(ne.depthStencilAttachment.stencilLoadOp=z.stencilLoadOp,ne.depthStencilAttachment.stencilStoreOp=z.stencilStoreOp,ne.depthStencilAttachment.stencilClearValue=z.stencilClearValue)}else ne.depthStencilAttachment=$u({},z);x.layerDescriptors.push(ne)}}_updateDepthLayerDescriptors(a,x,y){for(let E=0;E<y.length;E++){const z=x.layerDescriptors[E];if(z.depthStencilAttachment){const ee=z.depthStencilAttachment;a.depth&&(a.clearDepth?(ee.depthClearValue=a.clearDepthValue,ee.depthLoadOp=Sl.Clear):ee.depthLoadOp=Sl.Load),a.stencil&&(a.clearStencil?(ee.stencilClearValue=a.clearStencilValue,ee.stencilLoadOp=Sl.Clear):ee.stencilLoadOp=Sl.Load)}}}finishRender(a){const x=this.get(a),y=a.occlusionQueryCount;x.renderBundles.length>0&&x.currentPass.executeBundles(x.renderBundles),y>x.occlusionQueryIndex&&x.currentPass.endOcclusionQuery();const E=x.encoder;if(this._isRenderCameraDepthArray(a)===!0){const z=[];for(let ee=0;ee<x.bundleEncoders.length;ee++){const te=x.bundleEncoders[ee];z.push(te.finish())}for(let ee=0;ee<x.layerDescriptors.length;ee++)if(ee<z.length){const te=x.layerDescriptors[ee],ne=E.beginRenderPass(te);if(a.viewport){const{x:ie,y:ae,width:oe,height:le,minDepth:ue,maxDepth:he}=a.viewportValue;ne.setViewport(ie,ae,oe,le,ue,he)}if(a.scissor){const{x:ie,y:ae,width:oe,height:le}=a.scissorValue;ne.setScissorRect(ie,ae,oe,le)}ne.executeBundles([z[ee]]),ne.end()}}else x.currentPass&&x.currentPass.end();if(y>0){const z=y*8;let ee=this.occludedResolveCache.get(z);ee===void 0&&(ee=this.device.createBuffer({size:z,usage:GPUBufferUsage.QUERY_RESOLVE|GPUBufferUsage.COPY_SRC}),this.occludedResolveCache.set(z,ee));const te=this.device.createBuffer({size:z,usage:GPUBufferUsage.COPY_DST|GPUBufferUsage.MAP_READ});x.encoder.resolveQuerySet(x.occlusionQuerySet,0,y,ee,0),x.encoder.copyBufferToBuffer(ee,0,te,0,z),x.occlusionQueryBuffer=te,this.resolveOccludedAsync(a)}if(this.device.queue.submit([x.encoder.finish()]),a.textures!==null){const z=a.textures;for(let ee=0;ee<z.length;ee++){const te=z[ee];te.generateMipmaps===!0&&this.textureUtils.generateMipmaps(te)}}}isOccluded(a,x){const y=this.get(a);return y.occluded&&y.occluded.has(x)}resolveOccludedAsync(a){return ca(this,null,function*(){const x=this.get(a),{currentOcclusionQueryBuffer:y,currentOcclusionQueryObjects:E}=x;if(y&&E){const z=new WeakSet;x.currentOcclusionQueryObjects=null,x.currentOcclusionQueryBuffer=null,yield y.mapAsync(GPUMapMode.READ);const ee=y.getMappedRange(),te=new BigUint64Array(ee);for(let ne=0;ne<E.length;ne++)te[ne]===BigInt(0)&&z.add(E[ne]);y.destroy(),x.occluded=z}})}updateViewport(a){const{currentPass:x}=this.get(a),{x:y,y:E,width:z,height:ee,minDepth:te,maxDepth:ne}=a.viewportValue;x.setViewport(y,E,z,ee,te,ne)}updateScissor(a){const{currentPass:x}=this.get(a),{x:y,y:E,width:z,height:ee}=a.scissorValue;x.setScissorRect(y,E,z,ee)}getClearColor(){const a=super.getClearColor();return this.renderer.alpha===!0&&(a.r*=a.a,a.g*=a.a,a.b*=a.a),a}clear(a,x,y,E=null){const z=this.device,ee=this.renderer;let te=[],ne,ie,ae,oe;if(a){const he=this.getClearColor();ie={r:he.r,g:he.g,b:he.b,a:he.a}}if(E===null){ae=ee.depth,oe=ee.stencil;const he=this._getDefaultRenderPassDescriptor();if(a){te=he.colorAttachments;const xe=te[0];xe.clearValue=ie,xe.loadOp=Sl.Clear,xe.storeOp=Cf.Store}(ae||oe)&&(ne=he.depthStencilAttachment)}else{ae=E.depth,oe=E.stencil;const he={loadOp:a?Sl.Clear:Sl.Load,clearValue:a?ie:void 0};ae&&(he.depthLoadOp=x?Sl.Clear:Sl.Load,he.depthClearValue=x?ee.getClearDepth():void 0,he.depthStoreOp=Cf.Store),oe&&(he.stencilLoadOp=y?Sl.Clear:Sl.Load,he.stencilClearValue=y?ee.getClearStencil():void 0,he.stencilStoreOp=Cf.Store);const xe=this._getRenderPassDescriptor(E,he);te=xe.colorAttachments,ne=xe.depthStencilAttachment}ae&&ne&&(x?(ne.depthLoadOp=Sl.Clear,ne.depthClearValue=ee.getClearDepth(),ne.depthStoreOp=Cf.Store):(ne.depthLoadOp=Sl.Load,ne.depthStoreOp=Cf.Store)),oe&&ne&&(y?(ne.stencilLoadOp=Sl.Clear,ne.stencilClearValue=ee.getClearStencil(),ne.stencilStoreOp=Cf.Store):(ne.stencilLoadOp=Sl.Load,ne.stencilStoreOp=Cf.Store));const le=z.createCommandEncoder({label:"clear"});le.beginRenderPass({colorAttachments:te,depthStencilAttachment:ne}).end(),z.queue.submit([le.finish()])}beginCompute(a){const x=this.get(a),y={label:"computeGroup_"+a.id};this.initTimestampQuery(Mt.COMPUTE,this.getTimestampUID(a),y),x.cmdEncoderGPU=this.device.createCommandEncoder({label:"computeGroup_"+a.id}),x.passEncoderGPU=x.cmdEncoderGPU.beginComputePass(y)}compute(a,x,y,E,z=null){const ee=this.get(x),{passEncoderGPU:te}=this.get(a),ne=this.get(E).pipeline;this.pipelineUtils.setPipeline(te,ne);for(let ie=0,ae=y.length;ie<ae;ie++){const oe=y[ie],le=this.get(oe);te.setBindGroup(ie,le.group)}if(z===null&&(z=x.count),z&&typeof z=="object"&&z.isIndirectStorageBufferAttribute){const ie=this.get(z).buffer;te.dispatchWorkgroupsIndirect(ie,0);return}if(typeof z=="number"){const ie=z;if(ee.dispatchSize===void 0||ee.count!==ie){ee.dispatchSize=[0,1,1],ee.count=ie;const ae=x.workgroupSize;let oe=ae[0];for(let he=1;he<ae.length;he++)oe*=ae[he];const le=Math.ceil(ie/oe),ue=this.device.limits.maxComputeWorkgroupsPerDimension;z=[le,1,1],le>ue&&(z[0]=Math.min(le,ue),z[1]=Math.ceil(le/ue)),ee.dispatchSize=z}z=ee.dispatchSize}te.dispatchWorkgroups(z[0],z[1]||1,z[2]||1)}finishCompute(a){const x=this.get(a);x.passEncoderGPU.end(),this.device.queue.submit([x.cmdEncoderGPU.finish()])}draw(a,x){const{object:y,material:E,context:z,pipeline:ee}=a,te=a.getBindings(),ne=this.get(z),ie=this.get(ee),ae=ie.pipeline;if(ie.error===!0)return;const oe=a.getIndex(),le=oe!==null,ue=a.getDrawParameters();if(ue===null)return;const he=(ve,me)=>{this.pipelineUtils.setPipeline(ve,ae),me.pipeline=ae;const Pe=me.bindingGroups;for(let Me=0,Le=te.length;Me<Le;Me++){const De=te[Me],ke=this.get(De);Pe[De.index]!==De.id&&(ve.setBindGroup(De.index,ke.group),Pe[De.index]=De.id)}if(le===!0&&me.index!==oe){const Me=this.get(oe).buffer,Le=oe.array instanceof Uint16Array?zx.Uint16:zx.Uint32;ve.setIndexBuffer(Me,Le),me.index=oe}const we=a.getVertexBuffers();for(let Me=0,Le=we.length;Me<Le;Me++){const De=we[Me];if(me.attributes[Me]!==De){const ke=this.get(De).buffer;ve.setVertexBuffer(Me,ke),me.attributes[Me]=De}}z.stencil===!0&&E.stencilWrite===!0&&ne.currentStencilRef!==E.stencilRef&&(ve.setStencilReference(E.stencilRef),ne.currentStencilRef=E.stencilRef)},xe=(ve,me)=>{if(he(ve,me),y.isBatchedMesh===!0){const Pe=y._multiDrawStarts,we=y._multiDrawCounts,Me=y._multiDrawCount,Le=y._multiDrawInstances;Le!==null&&no("WebGPUBackend: renderMultiDrawInstances has been deprecated and will be removed in r184. Append to renderMultiDraw arguments and use indirection.");for(let De=0;De<Me;De++){const ke=Le?Le[De]:1,ze=ke>1?0:De;le===!0?ve.drawIndexed(we[De],ke,Pe[De]/oe.array.BYTES_PER_ELEMENT,0,ze):ve.draw(we[De],ke,Pe[De],ze),x.update(y,we[De],ke)}}else if(le===!0){const{vertexCount:Pe,instanceCount:we,firstVertex:Me}=ue,Le=a.getIndirect();if(Le!==null){const De=this.get(Le).buffer;ve.drawIndexedIndirect(De,0)}else ve.drawIndexed(Pe,we,Me,0,0);x.update(y,Pe,we)}else{const{vertexCount:Pe,instanceCount:we,firstVertex:Me}=ue,Le=a.getIndirect();if(Le!==null){const De=this.get(Le).buffer;ve.drawIndirect(De,0)}else ve.draw(Pe,we,Me,0);x.update(y,Pe,we)}};if(a.camera.isArrayCamera&&a.camera.cameras.length>0){const ve=this.get(a.camera),me=a.camera.cameras,Pe=a.getBindingGroup("cameraIndex");if(ve.indexesGPU===void 0||ve.indexesGPU.length!==me.length){const Me=this.get(Pe),Le=[],De=new Uint32Array([0,0,0,0]);for(let ke=0,ze=me.length;ke<ze;ke++){De[0]=ke;const He=this.bindingUtils.createBindGroupIndex(De,Me.layout);Le.push(He)}ve.indexesGPU=Le}const we=this.renderer.getPixelRatio();for(let Me=0,Le=me.length;Me<Le;Me++){const De=me[Me];if(y.layers.test(De.layers)){const ke=De.viewport;let ze=ne.currentPass,He=ne.currentSets;if(ne.bundleEncoders){const Re=ne.bundleEncoders[Me],Fe=ne.bundleSets[Me];ze=Re,He=Fe}ke&&ze.setViewport(Math.floor(ke.x*we),Math.floor(ke.y*we),Math.floor(ke.width*we),Math.floor(ke.height*we),z.viewportValue.minDepth,z.viewportValue.maxDepth),Pe&&ve.indexesGPU&&(ze.setBindGroup(Pe.index,ve.indexesGPU[Me]),He.bindingGroups[Pe.index]=Pe.id),xe(ze,He)}}}else if(ne.currentPass){if(ne.occlusionQuerySet!==void 0){const ve=ne.lastOcclusionObject;ve!==y&&(ve!==null&&ve.occlusionTest===!0&&(ne.currentPass.endOcclusionQuery(),ne.occlusionQueryIndex++),y.occlusionTest===!0&&(ne.currentPass.beginOcclusionQuery(ne.occlusionQueryIndex),ne.occlusionQueryObjects[ne.occlusionQueryIndex]=y),ne.lastOcclusionObject=y)}xe(ne.currentPass,ne.currentSets)}}needsRenderUpdate(a){const x=this.get(a),{object:y,material:E}=a,z=this.utils,ee=z.getSampleCountRenderContext(a.context),te=z.getCurrentColorSpace(a.context),ne=z.getCurrentColorFormat(a.context),ie=z.getCurrentDepthStencilFormat(a.context),ae=z.getPrimitiveTopology(y,E);let oe=!1;return(x.material!==E||x.materialVersion!==E.version||x.transparent!==E.transparent||x.blending!==E.blending||x.premultipliedAlpha!==E.premultipliedAlpha||x.blendSrc!==E.blendSrc||x.blendDst!==E.blendDst||x.blendEquation!==E.blendEquation||x.blendSrcAlpha!==E.blendSrcAlpha||x.blendDstAlpha!==E.blendDstAlpha||x.blendEquationAlpha!==E.blendEquationAlpha||x.colorWrite!==E.colorWrite||x.depthWrite!==E.depthWrite||x.depthTest!==E.depthTest||x.depthFunc!==E.depthFunc||x.stencilWrite!==E.stencilWrite||x.stencilFunc!==E.stencilFunc||x.stencilFail!==E.stencilFail||x.stencilZFail!==E.stencilZFail||x.stencilZPass!==E.stencilZPass||x.stencilFuncMask!==E.stencilFuncMask||x.stencilWriteMask!==E.stencilWriteMask||x.side!==E.side||x.alphaToCoverage!==E.alphaToCoverage||x.sampleCount!==ee||x.colorSpace!==te||x.colorFormat!==ne||x.depthStencilFormat!==ie||x.primitiveTopology!==ae||x.clippingContextCacheKey!==a.clippingContextCacheKey)&&(x.material=E,x.materialVersion=E.version,x.transparent=E.transparent,x.blending=E.blending,x.premultipliedAlpha=E.premultipliedAlpha,x.blendSrc=E.blendSrc,x.blendDst=E.blendDst,x.blendEquation=E.blendEquation,x.blendSrcAlpha=E.blendSrcAlpha,x.blendDstAlpha=E.blendDstAlpha,x.blendEquationAlpha=E.blendEquationAlpha,x.colorWrite=E.colorWrite,x.depthWrite=E.depthWrite,x.depthTest=E.depthTest,x.depthFunc=E.depthFunc,x.stencilWrite=E.stencilWrite,x.stencilFunc=E.stencilFunc,x.stencilFail=E.stencilFail,x.stencilZFail=E.stencilZFail,x.stencilZPass=E.stencilZPass,x.stencilFuncMask=E.stencilFuncMask,x.stencilWriteMask=E.stencilWriteMask,x.side=E.side,x.alphaToCoverage=E.alphaToCoverage,x.sampleCount=ee,x.colorSpace=te,x.colorFormat=ne,x.depthStencilFormat=ie,x.primitiveTopology=ae,x.clippingContextCacheKey=a.clippingContextCacheKey,oe=!0),oe}getRenderCacheKey(a){const{object:x,material:y}=a,E=this.utils,z=a.context,ee=x.isMesh&&x.matrixWorld.determinant()<0;return[y.transparent,y.blending,y.premultipliedAlpha,y.blendSrc,y.blendDst,y.blendEquation,y.blendSrcAlpha,y.blendDstAlpha,y.blendEquationAlpha,y.colorWrite,y.depthWrite,y.depthTest,y.depthFunc,y.stencilWrite,y.stencilFunc,y.stencilFail,y.stencilZFail,y.stencilZPass,y.stencilFuncMask,y.stencilWriteMask,y.side,ee,E.getSampleCountRenderContext(z),E.getCurrentColorSpace(z),E.getCurrentColorFormat(z),E.getCurrentDepthStencilFormat(z),E.getPrimitiveTopology(x,y),a.getGeometryCacheKey(),a.clippingContextCacheKey].join()}updateSampler(a){return this.textureUtils.updateSampler(a)}createDefaultTexture(a){return this.textureUtils.createDefaultTexture(a)}createTexture(a,x){this.textureUtils.createTexture(a,x)}updateTexture(a,x){this.textureUtils.updateTexture(a,x)}generateMipmaps(a){this.textureUtils.generateMipmaps(a)}destroyTexture(a,x=!1){this.textureUtils.destroyTexture(a,x)}copyTextureToBuffer(a,x,y,E,z,ee){return ca(this,null,function*(){return this.textureUtils.copyTextureToBuffer(a,x,y,E,z,ee)})}initTimestampQuery(a,x,y){if(!this.trackTimestamp)return;this.timestampQueryPool[a]||(this.timestampQueryPool[a]=new Iee(this.device,a,2048));const E=this.timestampQueryPool[a],z=E.allocateQueriesForContext(x);y.timestampWrites={querySet:E.querySet,beginningOfPassWriteIndex:z,endOfPassWriteIndex:z+1}}createNodeBuilder(a,x){return new Cee(a,x)}createProgram(a){const x=this.get(a);x.module={module:this.device.createShaderModule({code:a.code,label:a.stage+(a.name!==""?`_${a.name}`:"")}),entryPoint:"main"}}destroyProgram(a){this.delete(a)}createRenderPipeline(a,x){this.pipelineUtils.createRenderPipeline(a,x)}createComputePipeline(a,x){this.pipelineUtils.createComputePipeline(a,x)}beginBundle(a){const x=this.get(a);x._currentPass=x.currentPass,x._currentSets=x.currentSets,x.currentSets={attributes:{},bindingGroups:[],pipeline:null,index:null},x.currentPass=this.pipelineUtils.createBundleEncoder(a)}finishBundle(a,x){const y=this.get(a),z=y.currentPass.finish();this.get(x).bundleGPU=z,y.currentSets=y._currentSets,y.currentPass=y._currentPass}addBundle(a,x){this.get(a).renderBundles.push(this.get(x).bundleGPU)}createBindings(a,x,y,E){this.bindingUtils.createBindings(a,x,y,E)}updateBindings(a,x,y,E){this.bindingUtils.createBindings(a,x,y,E)}updateBinding(a){this.bindingUtils.updateBinding(a)}createIndexAttribute(a){let x=GPUBufferUsage.INDEX|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST;(a.isStorageBufferAttribute||a.isStorageInstancedBufferAttribute)&&(x|=GPUBufferUsage.STORAGE),this.attributeUtils.createAttribute(a,x)}createAttribute(a){this.attributeUtils.createAttribute(a,GPUBufferUsage.VERTEX|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST)}createStorageAttribute(a){this.attributeUtils.createAttribute(a,GPUBufferUsage.STORAGE|GPUBufferUsage.VERTEX|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST)}createIndirectStorageAttribute(a){this.attributeUtils.createAttribute(a,GPUBufferUsage.STORAGE|GPUBufferUsage.INDIRECT|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST)}updateAttribute(a){this.attributeUtils.updateAttribute(a)}destroyAttribute(a){this.attributeUtils.destroyAttribute(a)}updateSize(){this.delete(this.renderer.getCanvasTarget())}getMaxAnisotropy(){return 16}hasFeature(a){return X6[a]!==void 0&&(a=X6[a]),this.device.features.has(a)}copyTextureToTexture(a,x,y=null,E=null,z=0,ee=0){let te=0,ne=0,ie=0,ae=0,oe=0,le=0,ue=a.image.width,he=a.image.height,xe=1;y!==null&&(y.isBox3===!0?(ae=y.min.x,oe=y.min.y,le=y.min.z,ue=y.max.x-y.min.x,he=y.max.y-y.min.y,xe=y.max.z-y.min.z):(ae=y.min.x,oe=y.min.y,ue=y.max.x-y.min.x,he=y.max.y-y.min.y,xe=1)),E!==null&&(te=E.x,ne=E.y,ie=E.z||0);const ve=this.device.createCommandEncoder({label:"copyTextureToTexture_"+a.id+"_"+x.id}),me=this.get(a).texture,Pe=this.get(x).texture;ve.copyTextureToTexture({texture:me,mipLevel:z,origin:{x:ae,y:oe,z:le}},{texture:Pe,mipLevel:ee,origin:{x:te,y:ne,z:ie}},[ue,he,xe]),this.device.queue.submit([ve.finish()]),ee===0&&x.generateMipmaps&&this.textureUtils.generateMipmaps(x)}copyFramebufferToTexture(a,x,y){const E=this.get(x);let z=null;x.renderTarget?a.isDepthTexture?z=this.get(x.depthTexture).texture:z=this.get(x.textures[0]).texture:a.isDepthTexture?z=this.textureUtils.getDepthBuffer(x.depth,x.stencil):z=this.context.getCurrentTexture();const ee=this.get(a).texture;if(z.format!==ee.format){cr("WebGPUBackend: copyFramebufferToTexture: Source and destination formats do not match.",z.format,ee.format);return}let te;if(E.currentPass?(E.currentPass.end(),te=E.encoder):te=this.device.createCommandEncoder({label:"copyFramebufferToTexture_"+a.id}),te.copyTextureToTexture({texture:z,origin:[y.x,y.y,0]},{texture:ee},[y.z,y.w]),a.generateMipmaps&&this.textureUtils.generateMipmaps(a,te),E.currentPass){const{descriptor:ne}=E;for(let ie=0;ie<ne.colorAttachments.length;ie++)ne.colorAttachments[ie].loadOp=Sl.Load;x.depth&&(ne.depthStencilAttachment.depthLoadOp=Sl.Load),x.stencil&&(ne.depthStencilAttachment.stencilLoadOp=Sl.Load),E.currentPass=te.beginRenderPass(ne),E.currentSets={attributes:{},bindingGroups:[],pipeline:null,index:null},x.viewport&&this.updateViewport(x),x.scissor&&this.updateScissor(x)}else this.device.queue.submit([te.finish()])}dispose(){this.textureUtils.dispose()}}class Nee extends cE{constructor(a,x,y,E,z,ee){super(a,x,y,E,z,ee),this.iesMap=null}copy(a,x){return super.copy(a,x),this.iesMap=a.iesMap,this}}class Fee extends cE{constructor(a,x,y,E,z,ee){super(a,x,y,E,z,ee),this.aspect=null}copy(a,x){return super.copy(a,x),this.aspect=a.aspect,this}}class Lee extends g6{constructor(){super(),this.addMaterial(oZ,"MeshPhongMaterial"),this.addMaterial(ZI,"MeshStandardMaterial"),this.addMaterial(eY,"MeshPhysicalMaterial"),this.addMaterial(sY,"MeshToonMaterial"),this.addMaterial(eZ,"MeshBasicMaterial"),this.addMaterial(sZ,"MeshLambertMaterial"),this.addMaterial(JQ,"MeshNormalMaterial"),this.addMaterial(oY,"MeshMatcapMaterial"),this.addMaterial(VQ,"LineBasicMaterial"),this.addMaterial(XQ,"LineDashedMaterial"),this.addMaterial(fY,"PointsMaterial"),this.addMaterial(JI,"SpriteMaterial"),this.addMaterial(gY,"ShadowMaterial"),this.addLight(Rq,V8),this.addLight(d$,$3),this.addLight(f$,G8),this.addLight(s5,cE),this.addLight(g$,e2),this.addLight(v$,k8),this.addLight(A$,X8),this.addLight(h$,Nee),this.addLight(m$,Fee),this.addToneMapping(y7,Ts),this.addToneMapping(b7,Cu),this.addToneMapping(E7,bd),this.addToneMapping(w7,Tp),this.addToneMapping(C7,Dp),this.addToneMapping(P7,Am)}}class Ree extends k${constructor(a={}){let x;a.forceWebGL?x=k6:(x=y5,a.getFallback=()=>(wn("WebGPURenderer: WebGPU is not available, running under WebGL2 backend."),new k6(a)));const y=new x(a);super(y,a),this.library=new Lee,this.isWebGPURenderer=!0,typeof __THREE_DEVTOOLS__!="undefined"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe",{detail:this}))}}class Gfe extends null{constructor(){super(),this.isBundleGroup=!0,this.type="BundleGroup",this.static=!0,this.version=0}set needsUpdate(a){a===!0&&this.version++}}class Xfe{constructor(a,x=ns(0,0,1,1)){this.renderer=a,this.outputNode=x,this.outputColorTransform=!0,this.needsUpdate=!0;const y=new Bu;y.name="PostProcessing",this._quadMesh=new Ob(y),this._quadMesh.name="Post-Processing",this._context=null}render(){const a=this.renderer;this._update(),this._context.onBeforePostProcessing!==null&&this._context.onBeforePostProcessing();const x=a.toneMapping,y=a.outputColorSpace;a.toneMapping=NoToneMapping,a.outputColorSpace=ColorManagement.workingColorSpace;const E=a.xr.enabled;a.xr.enabled=!1,this._quadMesh.render(a),a.xr.enabled=E,a.toneMapping=x,a.outputColorSpace=y,this._context.onAfterPostProcessing!==null&&this._context.onAfterPostProcessing()}get context(){return this._context}dispose(){this._quadMesh.material.dispose()}_update(){if(this.needsUpdate===!0){const a=this.renderer,x=a.toneMapping,y=a.outputColorSpace,E={postProcessing:this,onBeforePostProcessing:null,onAfterPostProcessing:null};let z=this.outputNode;this.outputColorTransform===!0?(z=z.context(E),z=LP(z,x,y)):(E.toneMapping=x,E.outputColorSpace=y,z=z.context(E)),this._context=E,this._quadMesh.material.fragmentNode=z,this._quadMesh.material.needsUpdate=!0,this.needsUpdate=!1}}renderAsync(){return ca(this,null,function*(){warnOnce('PostProcessing: "renderAsync()" has been deprecated. Use "render()" and "await renderer.init();" when creating the renderer.'),yield this.renderer.init(),this.render()})}}class Wfe extends null{constructor(a=1,x=1){super(),this.image={width:a,height:x},this.magFilter=LinearFilter,this.minFilter=LinearFilter,this.isStorageTexture=!0,this.mipmapsAutoUpdate=!0}setSize(a,x){(this.image.width!==a||this.image.height!==x)&&(this.image.width=a,this.image.height=x,this.dispose())}}class Qfe extends null{constructor(a=1,x=1,y=1){super(),this.isArrayTexture=!1,this.image={width:a,height:x,depth:y},this.magFilter=LinearFilter,this.minFilter=LinearFilter,this.wrapR=ClampToEdgeWrapping,this.isStorageTexture=!0,this.is3DTexture=!0}setSize(a,x,y){(this.image.width!==a||this.image.height!==x||this.image.depth!==y)&&(this.image.width=a,this.image.height=x,this.image.depth=y,this.dispose())}}class Zfe extends null{constructor(a=1,x=1,y=1){super(),this.isArrayTexture=!0,this.image={width:a,height:x,depth:y},this.magFilter=LinearFilter,this.minFilter=LinearFilter,this.isStorageTexture=!0}setSize(a,x,y){(this.image.width!==a||this.image.height!==x||this.image.depth!==y)&&(this.image.width=a,this.image.height=x,this.image.depth=y,this.dispose())}}class Yfe extends null{constructor(a,x){super(a,x,Uint32Array),this.isIndirectStorageBufferAttribute=!0}}class Oee extends null{constructor(a){super(a),this.textures={},this.nodes={}}load(a,x,y,E){const z=new FileLoader(this.manager);z.setPath(this.path),z.setRequestHeader(this.requestHeader),z.setWithCredentials(this.withCredentials),z.load(a,ee=>{try{x(this.parse(JSON.parse(ee)))}catch(te){E?E(te):error(te),this.manager.itemError(a)}},y,E)}parseNodes(a){const x={};if(a!==void 0){for(const E of a){const{uuid:z,type:ee}=E;x[z]=this.createNodeFromType(ee),x[z].uuid=z}const y={nodes:x,textures:this.textures};for(const E of a)E.meta=y,x[E.uuid].deserialize(E),delete E.meta}return x}parse(a){const x=this.createNodeFromType(a.type);x.uuid=a.uuid;const E={nodes:this.parseNodes(a.nodes),textures:this.textures};return a.meta=E,x.deserialize(a),delete a.meta,x}setTextures(a){return this.textures=a,this}setNodes(a){return this.nodes=a,this}createNodeFromType(a){return this.nodes[a]===void 0?(error("NodeLoader: Node type not found:",a),lt()):Sr(new this.nodes[a])}}class zee extends null{constructor(a){super(a),this.nodes={},this.nodeMaterials={}}parse(a){const x=super.parse(a),y=this.nodes,E=a.inputNodes;for(const z in E){const ee=E[z];x[z]=y[ee]}return x}setNodes(a){return this.nodes=a,this}setNodeMaterials(a){return this.nodeMaterials=a,this}createMaterialFromType(a){const x=this.nodeMaterials[a];return x!==void 0?new x:super.createMaterialFromType(a)}}class Jfe extends null{constructor(a){super(a),this.nodes={},this.nodeMaterials={},this._nodesJSON=null}setNodes(a){return this.nodes=a,this}setNodeMaterials(a){return this.nodeMaterials=a,this}parse(a,x){this._nodesJSON=a.nodes;const y=super.parse(a,x);return this._nodesJSON=null,y}parseNodes(a,x){if(a!==void 0){const y=new Oee;return y.setNodes(this.nodes),y.setTextures(x),y.parseNodes(a)}return{}}parseMaterials(a,x){const y={};if(a!==void 0){const E=this.parseNodes(this._nodesJSON,x),z=new zee;z.setTextures(x),z.setNodes(E),z.setNodeMaterials(this.nodeMaterials);for(let ee=0,te=a.length;ee<te;ee++){const ne=a[ee];y[ne.uuid]=z.parse(ne)}}return y}}class Kfe extends null{constructor(){super(),this.isClippingGroup=!0,this.clippingPlanes=[],this.enabled=!0,this.clipIntersection=!1,this.clipShadows=!1}}const b5={type:"change"},E5={type:"start"},w5={type:"end"},q6=1e-6,Bl={NONE:-1,ROTATE:0,ZOOM:1,PAN:2,TOUCH_ROTATE:3,TOUCH_ZOOM_PAN:4},nC=new ar,_0=new ar,kee=new ft,rC=new ft,C5=new ft,Hx=new pc,_6=new ft,iC=new ft,P5=new ft,sC=new ft;class Hee extends xE{constructor(a,x=null){super(a,x),this.screen={left:0,top:0,width:0,height:0},this.rotateSpeed=1,this.zoomSpeed=1.2,this.panSpeed=.3,this.noRotate=!1,this.noZoom=!1,this.noPan=!1,this.staticMoving=!1,this.dynamicDampingFactor=.2,this.minDistance=0,this.maxDistance=1/0,this.minZoom=0,this.maxZoom=1/0,this.keys=["KeyA","KeyS","KeyD"],this.mouseButtons={LEFT:Xo.ROTATE,MIDDLE:Xo.DOLLY,RIGHT:Xo.PAN},this.target=new ft,this.state=Bl.NONE,this.keyState=Bl.NONE,this._lastPosition=new ft,this._lastZoom=1,this._touchZoomDistanceStart=0,this._touchZoomDistanceEnd=0,this._lastAngle=0,this._eye=new ft,this._movePrev=new ar,this._moveCurr=new ar,this._lastAxis=new ft,this._zoomStart=new ar,this._zoomEnd=new ar,this._panStart=new ar,this._panEnd=new ar,this._pointers=[],this._pointerPositions={},this._onPointerMove=jee.bind(this),this._onPointerDown=Uee.bind(this),this._onPointerUp=Vee.bind(this),this._onPointerCancel=Gee.bind(this),this._onContextMenu=Kee.bind(this),this._onMouseWheel=Jee.bind(this),this._onKeyDown=Wee.bind(this),this._onKeyUp=Xee.bind(this),this._onTouchStart=qee.bind(this),this._onTouchMove=_ee.bind(this),this._onTouchEnd=$ee.bind(this),this._onMouseDown=Qee.bind(this),this._onMouseMove=Zee.bind(this),this._onMouseUp=Yee.bind(this),this._target0=this.target.clone(),this._position0=this.object.position.clone(),this._up0=this.object.up.clone(),this._zoom0=this.object.zoom,x!==null&&(this.connect(x),this.handleResize()),this.update()}connect(a){super.connect(a),window.addEventListener("keydown",this._onKeyDown),window.addEventListener("keyup",this._onKeyUp),this.domElement.addEventListener("pointerdown",this._onPointerDown),this.domElement.addEventListener("pointercancel",this._onPointerCancel),this.domElement.addEventListener("wheel",this._onMouseWheel,{passive:!1}),this.domElement.addEventListener("contextmenu",this._onContextMenu),this.domElement.style.touchAction="none"}disconnect(){window.removeEventListener("keydown",this._onKeyDown),window.removeEventListener("keyup",this._onKeyUp),this.domElement.removeEventListener("pointerdown",this._onPointerDown),this.domElement.removeEventListener("pointermove",this._onPointerMove),this.domElement.removeEventListener("pointerup",this._onPointerUp),this.domElement.removeEventListener("pointercancel",this._onPointerCancel),this.domElement.removeEventListener("wheel",this._onMouseWheel),this.domElement.removeEventListener("contextmenu",this._onContextMenu),this.domElement.style.touchAction="auto"}dispose(){this.disconnect()}handleResize(){const a=this.domElement.getBoundingClientRect(),x=this.domElement.ownerDocument.documentElement;this.screen.left=a.left+window.pageXOffset-x.clientLeft,this.screen.top=a.top+window.pageYOffset-x.clientTop,this.screen.width=a.width,this.screen.height=a.height}update(){this._eye.subVectors(this.object.position,this.target),this.noRotate||this._rotateCamera(),this.noZoom||this._zoomCamera(),this.noPan||this._panCamera(),this.object.position.addVectors(this.target,this._eye),this.object.isPerspectiveCamera?(this._checkDistances(),this.object.lookAt(this.target),this._lastPosition.distanceToSquared(this.object.position)>q6&&(this.dispatchEvent(b5),this._lastPosition.copy(this.object.position))):this.object.isOrthographicCamera?(this.object.lookAt(this.target),(this._lastPosition.distanceToSquared(this.object.position)>q6||this._lastZoom!==this.object.zoom)&&(this.dispatchEvent(b5),this._lastPosition.copy(this.object.position),this._lastZoom=this.object.zoom)):console.warn("THREE.TrackballControls: Unsupported camera type.")}reset(){this.state=Bl.NONE,this.keyState=Bl.NONE,this.target.copy(this._target0),this.object.position.copy(this._position0),this.object.up.copy(this._up0),this.object.zoom=this._zoom0,this.object.updateProjectionMatrix(),this._eye.subVectors(this.object.position,this.target),this.object.lookAt(this.target),this.dispatchEvent(b5),this._lastPosition.copy(this.object.position),this._lastZoom=this.object.zoom}_panCamera(){if(_0.copy(this._panEnd).sub(this._panStart),_0.lengthSq()){if(this.object.isOrthographicCamera){const a=(this.object.right-this.object.left)/this.object.zoom/this.domElement.clientWidth,x=(this.object.top-this.object.bottom)/this.object.zoom/this.domElement.clientWidth;_0.x*=a,_0.y*=x}_0.multiplyScalar(this._eye.length()*this.panSpeed),rC.copy(this._eye).cross(this.object.up).setLength(_0.x),rC.add(kee.copy(this.object.up).setLength(_0.y)),this.object.position.add(rC),this.target.add(rC),this.staticMoving?this._panStart.copy(this._panEnd):this._panStart.add(_0.subVectors(this._panEnd,this._panStart).multiplyScalar(this.dynamicDampingFactor))}}_rotateCamera(){sC.set(this._moveCurr.x-this._movePrev.x,this._moveCurr.y-this._movePrev.y,0);let a=sC.length();a?(this._eye.copy(this.object.position).sub(this.target),_6.copy(this._eye).normalize(),iC.copy(this.object.up).normalize(),P5.crossVectors(iC,_6).normalize(),iC.setLength(this._moveCurr.y-this._movePrev.y),P5.setLength(this._moveCurr.x-this._movePrev.x),sC.copy(iC.add(P5)),C5.crossVectors(sC,this._eye).normalize(),a*=this.rotateSpeed,Hx.setFromAxisAngle(C5,a),this._eye.applyQuaternion(Hx),this.object.up.applyQuaternion(Hx),this._lastAxis.copy(C5),this._lastAngle=a):!this.staticMoving&&this._lastAngle&&(this._lastAngle*=Math.sqrt(1-this.dynamicDampingFactor),this._eye.copy(this.object.position).sub(this.target),Hx.setFromAxisAngle(this._lastAxis,this._lastAngle),this._eye.applyQuaternion(Hx),this.object.up.applyQuaternion(Hx)),this._movePrev.copy(this._moveCurr)}_zoomCamera(){let a;this.state===Bl.TOUCH_ZOOM_PAN?(a=this._touchZoomDistanceStart/this._touchZoomDistanceEnd,this._touchZoomDistanceStart=this._touchZoomDistanceEnd,this.object.isPerspectiveCamera?this._eye.multiplyScalar(a):this.object.isOrthographicCamera?(this.object.zoom=Ig.clamp(this.object.zoom/a,this.minZoom,this.maxZoom),this._lastZoom!==this.object.zoom&&this.object.updateProjectionMatrix()):console.warn("THREE.TrackballControls: Unsupported camera type")):(a=1+(this._zoomEnd.y-this._zoomStart.y)*this.zoomSpeed,a!==1&&a>0&&(this.object.isPerspectiveCamera?this._eye.multiplyScalar(a):this.object.isOrthographicCamera?(this.object.zoom=Ig.clamp(this.object.zoom/a,this.minZoom,this.maxZoom),this._lastZoom!==this.object.zoom&&this.object.updateProjectionMatrix()):console.warn("THREE.TrackballControls: Unsupported camera type")),this.staticMoving?this._zoomStart.copy(this._zoomEnd):this._zoomStart.y+=(this._zoomEnd.y-this._zoomStart.y)*this.dynamicDampingFactor)}_getMouseOnScreen(a,x){return nC.set((a-this.screen.left)/this.screen.width,(x-this.screen.top)/this.screen.height),nC}_getMouseOnCircle(a,x){return nC.set((a-this.screen.width*.5-this.screen.left)/(this.screen.width*.5),(this.screen.height+2*(this.screen.top-x))/this.screen.width),nC}_addPointer(a){this._pointers.push(a)}_removePointer(a){delete this._pointerPositions[a.pointerId];for(let x=0;x<this._pointers.length;x++)if(this._pointers[x].pointerId==a.pointerId){this._pointers.splice(x,1);return}}_trackPointer(a){let x=this._pointerPositions[a.pointerId];x===void 0&&(x=new ar,this._pointerPositions[a.pointerId]=x),x.set(a.pageX,a.pageY)}_getSecondPointerPosition(a){const x=a.pointerId===this._pointers[0].pointerId?this._pointers[1]:this._pointers[0];return this._pointerPositions[x.pointerId]}_checkDistances(){(!this.noZoom||!this.noPan)&&(this._eye.lengthSq()>this.maxDistance*this.maxDistance&&(this.object.position.addVectors(this.target,this._eye.setLength(this.maxDistance)),this._zoomStart.copy(this._zoomEnd)),this._eye.lengthSq()<this.minDistance*this.minDistance&&(this.object.position.addVectors(this.target,this._eye.setLength(this.minDistance)),this._zoomStart.copy(this._zoomEnd)))}}function Uee(b){this.enabled!==!1&&(this._pointers.length===0&&(this.domElement.setPointerCapture(b.pointerId),this.domElement.addEventListener("pointermove",this._onPointerMove),this.domElement.addEventListener("pointerup",this._onPointerUp)),this._addPointer(b),b.pointerType==="touch"?this._onTouchStart(b):this._onMouseDown(b))}function jee(b){this.enabled!==!1&&(b.pointerType==="touch"?this._onTouchMove(b):this._onMouseMove(b))}function Vee(b){this.enabled!==!1&&(b.pointerType==="touch"?this._onTouchEnd(b):this._onMouseUp(),this._removePointer(b),this._pointers.length===0&&(this.domElement.releasePointerCapture(b.pointerId),this.domElement.removeEventListener("pointermove",this._onPointerMove),this.domElement.removeEventListener("pointerup",this._onPointerUp)))}function Gee(b){this._removePointer(b)}function Xee(){this.enabled!==!1&&(this.keyState=Bl.NONE,window.addEventListener("keydown",this._onKeyDown))}function Wee(b){this.enabled!==!1&&(window.removeEventListener("keydown",this._onKeyDown),this.keyState===Bl.NONE&&(b.code===this.keys[Bl.ROTATE]&&!this.noRotate?this.keyState=Bl.ROTATE:b.code===this.keys[Bl.ZOOM]&&!this.noZoom?this.keyState=Bl.ZOOM:b.code===this.keys[Bl.PAN]&&!this.noPan&&(this.keyState=Bl.PAN)))}function Qee(b){let a;switch(b.button){case 0:a=this.mouseButtons.LEFT;break;case 1:a=this.mouseButtons.MIDDLE;break;case 2:a=this.mouseButtons.RIGHT;break;default:a=-1}switch(a){case Xo.DOLLY:this.state=Bl.ZOOM;break;case Xo.ROTATE:this.state=Bl.ROTATE;break;case Xo.PAN:this.state=Bl.PAN;break;default:this.state=Bl.NONE}const x=this.keyState!==Bl.NONE?this.keyState:this.state;x===Bl.ROTATE&&!this.noRotate?(this._moveCurr.copy(this._getMouseOnCircle(b.pageX,b.pageY)),this._movePrev.copy(this._moveCurr)):x===Bl.ZOOM&&!this.noZoom?(this._zoomStart.copy(this._getMouseOnScreen(b.pageX,b.pageY)),this._zoomEnd.copy(this._zoomStart)):x===Bl.PAN&&!this.noPan&&(this._panStart.copy(this._getMouseOnScreen(b.pageX,b.pageY)),this._panEnd.copy(this._panStart)),this.dispatchEvent(E5)}function Zee(b){const a=this.keyState!==Bl.NONE?this.keyState:this.state;a===Bl.ROTATE&&!this.noRotate?(this._movePrev.copy(this._moveCurr),this._moveCurr.copy(this._getMouseOnCircle(b.pageX,b.pageY))):a===Bl.ZOOM&&!this.noZoom?this._zoomEnd.copy(this._getMouseOnScreen(b.pageX,b.pageY)):a===Bl.PAN&&!this.noPan&&this._panEnd.copy(this._getMouseOnScreen(b.pageX,b.pageY))}function Yee(){this.state=Bl.NONE,this.dispatchEvent(w5)}function Jee(b){if(this.enabled!==!1&&this.noZoom!==!0){switch(b.preventDefault(),b.deltaMode){case 2:this._zoomStart.y-=b.deltaY*.025;break;case 1:this._zoomStart.y-=b.deltaY*.01;break;default:this._zoomStart.y-=b.deltaY*25e-5;break}this.dispatchEvent(E5),this.dispatchEvent(w5)}}function Kee(b){this.enabled!==!1&&b.preventDefault()}function qee(b){switch(this._trackPointer(b),this._pointers.length){case 1:this.state=Bl.TOUCH_ROTATE,this._moveCurr.copy(this._getMouseOnCircle(this._pointers[0].pageX,this._pointers[0].pageY)),this._movePrev.copy(this._moveCurr);break;default:this.state=Bl.TOUCH_ZOOM_PAN;const a=this._pointers[0].pageX-this._pointers[1].pageX,x=this._pointers[0].pageY-this._pointers[1].pageY;this._touchZoomDistanceEnd=this._touchZoomDistanceStart=Math.sqrt(a*a+x*x);const y=(this._pointers[0].pageX+this._pointers[1].pageX)/2,E=(this._pointers[0].pageY+this._pointers[1].pageY)/2;this._panStart.copy(this._getMouseOnScreen(y,E)),this._panEnd.copy(this._panStart);break}this.dispatchEvent(E5)}function _ee(b){switch(this._trackPointer(b),this._pointers.length){case 1:this._movePrev.copy(this._moveCurr),this._moveCurr.copy(this._getMouseOnCircle(b.pageX,b.pageY));break;default:const a=this._getSecondPointerPosition(b),x=b.pageX-a.x,y=b.pageY-a.y;this._touchZoomDistanceEnd=Math.sqrt(x*x+y*y);const E=(b.pageX+a.x)/2,z=(b.pageY+a.y)/2;this._panEnd.copy(this._getMouseOnScreen(E,z));break}}function $ee(b){switch(this._pointers.length){case 0:this.state=Bl.NONE;break;case 1:this.state=Bl.TOUCH_ROTATE,this._moveCurr.copy(this._getMouseOnCircle(b.pageX,b.pageY)),this._movePrev.copy(this._moveCurr);break;case 2:this.state=Bl.TOUCH_ZOOM_PAN;for(let a=0;a<this._pointers.length;a++)if(this._pointers[a].pointerId!==b.pointerId){const x=this._pointerPositions[this._pointers[a].pointerId];this._moveCurr.copy(this._getMouseOnCircle(x.x,x.y)),this._movePrev.copy(this._moveCurr);break}break}this.dispatchEvent(w5)}const $6={type:"change"},S5={type:"start"},eN={type:"end"},aC=new TA,tN=new Wp,ete=Math.cos(70*Ig.DEG2RAD),Jc=new ft,Jf=2*Math.PI,$l={NONE:-1,ROTATE:0,DOLLY:1,PAN:2,TOUCH_ROTATE:3,TOUCH_PAN:4,TOUCH_DOLLY_PAN:5,TOUCH_DOLLY_ROTATE:6},B5=1e-6;class tte extends xE{constructor(a,x=null){super(a,x),this.state=$l.NONE,this.target=new ft,this.cursor=new ft,this.minDistance=0,this.maxDistance=1/0,this.minZoom=0,this.maxZoom=1/0,this.minTargetRadius=0,this.maxTargetRadius=1/0,this.minPolarAngle=0,this.maxPolarAngle=Math.PI,this.minAzimuthAngle=-1/0,this.maxAzimuthAngle=1/0,this.enableDamping=!1,this.dampingFactor=.05,this.enableZoom=!0,this.zoomSpeed=1,this.enableRotate=!0,this.rotateSpeed=1,this.keyRotateSpeed=1,this.enablePan=!0,this.panSpeed=1,this.screenSpacePanning=!0,this.keyPanSpeed=7,this.zoomToCursor=!1,this.autoRotate=!1,this.autoRotateSpeed=2,this.keys={LEFT:"ArrowLeft",UP:"ArrowUp",RIGHT:"ArrowRight",BOTTOM:"ArrowDown"},this.mouseButtons={LEFT:Xo.ROTATE,MIDDLE:Xo.DOLLY,RIGHT:Xo.PAN},this.touches={ONE:Al.ROTATE,TWO:Al.DOLLY_PAN},this.target0=this.target.clone(),this.position0=this.object.position.clone(),this.zoom0=this.object.zoom,this._domElementKeyEvents=null,this._lastPosition=new ft,this._lastQuaternion=new pc,this._lastTargetPosition=new ft,this._quat=new pc().setFromUnitVectors(a.up,new ft(0,1,0)),this._quatInverse=this._quat.clone().invert(),this._spherical=new rM,this._sphericalDelta=new rM,this._scale=1,this._panOffset=new ft,this._rotateStart=new ar,this._rotateEnd=new ar,this._rotateDelta=new ar,this._panStart=new ar,this._panEnd=new ar,this._panDelta=new ar,this._dollyStart=new ar,this._dollyEnd=new ar,this._dollyDelta=new ar,this._dollyDirection=new ft,this._mouse=new ar,this._performCursorZoom=!1,this._pointers=[],this._pointerPositions={},this._controlActive=!1,this._onPointerMove=rte.bind(this),this._onPointerDown=nte.bind(this),this._onPointerUp=ite.bind(this),this._onContextMenu=dte.bind(this),this._onMouseWheel=ote.bind(this),this._onKeyDown=lte.bind(this),this._onTouchStart=ute.bind(this),this._onTouchMove=cte.bind(this),this._onMouseDown=ste.bind(this),this._onMouseMove=ate.bind(this),this._interceptControlDown=fte.bind(this),this._interceptControlUp=hte.bind(this),this.domElement!==null&&this.connect(this.domElement),this.update()}connect(a){super.connect(a),this.domElement.addEventListener("pointerdown",this._onPointerDown),this.domElement.addEventListener("pointercancel",this._onPointerUp),this.domElement.addEventListener("contextmenu",this._onContextMenu),this.domElement.addEventListener("wheel",this._onMouseWheel,{passive:!1}),this.domElement.getRootNode().addEventListener("keydown",this._interceptControlDown,{passive:!0,capture:!0}),this.domElement.style.touchAction="none"}disconnect(){this.domElement.removeEventListener("pointerdown",this._onPointerDown),this.domElement.removeEventListener("pointermove",this._onPointerMove),this.domElement.removeEventListener("pointerup",this._onPointerUp),this.domElement.removeEventListener("pointercancel",this._onPointerUp),this.domElement.removeEventListener("wheel",this._onMouseWheel),this.domElement.removeEventListener("contextmenu",this._onContextMenu),this.stopListenToKeyEvents(),this.domElement.getRootNode().removeEventListener("keydown",this._interceptControlDown,{capture:!0}),this.domElement.style.touchAction="auto"}dispose(){this.disconnect()}getPolarAngle(){return this._spherical.phi}getAzimuthalAngle(){return this._spherical.theta}getDistance(){return this.object.position.distanceTo(this.target)}listenToKeyEvents(a){a.addEventListener("keydown",this._onKeyDown),this._domElementKeyEvents=a}stopListenToKeyEvents(){this._domElementKeyEvents!==null&&(this._domElementKeyEvents.removeEventListener("keydown",this._onKeyDown),this._domElementKeyEvents=null)}saveState(){this.target0.copy(this.target),this.position0.copy(this.object.position),this.zoom0=this.object.zoom}reset(){this.target.copy(this.target0),this.object.position.copy(this.position0),this.object.zoom=this.zoom0,this.object.updateProjectionMatrix(),this.dispatchEvent($6),this.update(),this.state=$l.NONE}update(a=null){const x=this.object.position;Jc.copy(x).sub(this.target),Jc.applyQuaternion(this._quat),this._spherical.setFromVector3(Jc),this.autoRotate&&this.state===$l.NONE&&this._rotateLeft(this._getAutoRotationAngle(a)),this.enableDamping?(this._spherical.theta+=this._sphericalDelta.theta*this.dampingFactor,this._spherical.phi+=this._sphericalDelta.phi*this.dampingFactor):(this._spherical.theta+=this._sphericalDelta.theta,this._spherical.phi+=this._sphericalDelta.phi);let y=this.minAzimuthAngle,E=this.maxAzimuthAngle;isFinite(y)&&isFinite(E)&&(y<-Math.PI?y+=Jf:y>Math.PI&&(y-=Jf),E<-Math.PI?E+=Jf:E>Math.PI&&(E-=Jf),y<=E?this._spherical.theta=Math.max(y,Math.min(E,this._spherical.theta)):this._spherical.theta=this._spherical.theta>(y+E)/2?Math.max(y,this._spherical.theta):Math.min(E,this._spherical.theta)),this._spherical.phi=Math.max(this.minPolarAngle,Math.min(this.maxPolarAngle,this._spherical.phi)),this._spherical.makeSafe(),this.enableDamping===!0?this.target.addScaledVector(this._panOffset,this.dampingFactor):this.target.add(this._panOffset),this.target.sub(this.cursor),this.target.clampLength(this.minTargetRadius,this.maxTargetRadius),this.target.add(this.cursor);let z=!1;if(this.zoomToCursor&&this._performCursorZoom||this.object.isOrthographicCamera)this._spherical.radius=this._clampDistance(this._spherical.radius);else{const ee=this._spherical.radius;this._spherical.radius=this._clampDistance(this._spherical.radius*this._scale),z=ee!=this._spherical.radius}if(Jc.setFromSpherical(this._spherical),Jc.applyQuaternion(this._quatInverse),x.copy(this.target).add(Jc),this.object.lookAt(this.target),this.enableDamping===!0?(this._sphericalDelta.theta*=1-this.dampingFactor,this._sphericalDelta.phi*=1-this.dampingFactor,this._panOffset.multiplyScalar(1-this.dampingFactor)):(this._sphericalDelta.set(0,0,0),this._panOffset.set(0,0,0)),this.zoomToCursor&&this._performCursorZoom){let ee=null;if(this.object.isPerspectiveCamera){const te=Jc.length();ee=this._clampDistance(te*this._scale);const ne=te-ee;this.object.position.addScaledVector(this._dollyDirection,ne),this.object.updateMatrixWorld(),z=!!ne}else if(this.object.isOrthographicCamera){const te=new ft(this._mouse.x,this._mouse.y,0);te.unproject(this.object);const ne=this.object.zoom;this.object.zoom=Math.max(this.minZoom,Math.min(this.maxZoom,this.object.zoom/this._scale)),this.object.updateProjectionMatrix(),z=ne!==this.object.zoom;const ie=new ft(this._mouse.x,this._mouse.y,0);ie.unproject(this.object),this.object.position.sub(ie).add(te),this.object.updateMatrixWorld(),ee=Jc.length()}else console.warn("WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled."),this.zoomToCursor=!1;ee!==null&&(this.screenSpacePanning?this.target.set(0,0,-1).transformDirection(this.object.matrix).multiplyScalar(ee).add(this.object.position):(aC.origin.copy(this.object.position),aC.direction.set(0,0,-1).transformDirection(this.object.matrix),Math.abs(this.object.up.dot(aC.direction))<ete?this.object.lookAt(this.target):(tN.setFromNormalAndCoplanarPoint(this.object.up,this.target),aC.intersectPlane(tN,this.target))))}else if(this.object.isOrthographicCamera){const ee=this.object.zoom;this.object.zoom=Math.max(this.minZoom,Math.min(this.maxZoom,this.object.zoom/this._scale)),ee!==this.object.zoom&&(this.object.updateProjectionMatrix(),z=!0)}return this._scale=1,this._performCursorZoom=!1,z||this._lastPosition.distanceToSquared(this.object.position)>B5||8*(1-this._lastQuaternion.dot(this.object.quaternion))>B5||this._lastTargetPosition.distanceToSquared(this.target)>B5?(this.dispatchEvent($6),this._lastPosition.copy(this.object.position),this._lastQuaternion.copy(this.object.quaternion),this._lastTargetPosition.copy(this.target),!0):!1}_getAutoRotationAngle(a){return a!==null?Jf/60*this.autoRotateSpeed*a:Jf/60/60*this.autoRotateSpeed}_getZoomScale(a){const x=Math.abs(a*.01);return Math.pow(.95,this.zoomSpeed*x)}_rotateLeft(a){this._sphericalDelta.theta-=a}_rotateUp(a){this._sphericalDelta.phi-=a}_panLeft(a,x){Jc.setFromMatrixColumn(x,0),Jc.multiplyScalar(-a),this._panOffset.add(Jc)}_panUp(a,x){this.screenSpacePanning===!0?Jc.setFromMatrixColumn(x,1):(Jc.setFromMatrixColumn(x,0),Jc.crossVectors(this.object.up,Jc)),Jc.multiplyScalar(a),this._panOffset.add(Jc)}_pan(a,x){const y=this.domElement;if(this.object.isPerspectiveCamera){const E=this.object.position;Jc.copy(E).sub(this.target);let z=Jc.length();z*=Math.tan(this.object.fov/2*Math.PI/180),this._panLeft(2*a*z/y.clientHeight,this.object.matrix),this._panUp(2*x*z/y.clientHeight,this.object.matrix)}else this.object.isOrthographicCamera?(this._panLeft(a*(this.object.right-this.object.left)/this.object.zoom/y.clientWidth,this.object.matrix),this._panUp(x*(this.object.top-this.object.bottom)/this.object.zoom/y.clientHeight,this.object.matrix)):(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - pan disabled."),this.enablePan=!1)}_dollyOut(a){this.object.isPerspectiveCamera||this.object.isOrthographicCamera?this._scale/=a:(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."),this.enableZoom=!1)}_dollyIn(a){this.object.isPerspectiveCamera||this.object.isOrthographicCamera?this._scale*=a:(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."),this.enableZoom=!1)}_updateZoomParameters(a,x){if(!this.zoomToCursor)return;this._performCursorZoom=!0;const y=this.domElement.getBoundingClientRect(),E=a-y.left,z=x-y.top,ee=y.width,te=y.height;this._mouse.x=E/ee*2-1,this._mouse.y=-(z/te)*2+1,this._dollyDirection.set(this._mouse.x,this._mouse.y,1).unproject(this.object).sub(this.object.position).normalize()}_clampDistance(a){return Math.max(this.minDistance,Math.min(this.maxDistance,a))}_handleMouseDownRotate(a){this._rotateStart.set(a.clientX,a.clientY)}_handleMouseDownDolly(a){this._updateZoomParameters(a.clientX,a.clientX),this._dollyStart.set(a.clientX,a.clientY)}_handleMouseDownPan(a){this._panStart.set(a.clientX,a.clientY)}_handleMouseMoveRotate(a){this._rotateEnd.set(a.clientX,a.clientY),this._rotateDelta.subVectors(this._rotateEnd,this._rotateStart).multiplyScalar(this.rotateSpeed);const x=this.domElement;this._rotateLeft(Jf*this._rotateDelta.x/x.clientHeight),this._rotateUp(Jf*this._rotateDelta.y/x.clientHeight),this._rotateStart.copy(this._rotateEnd),this.update()}_handleMouseMoveDolly(a){this._dollyEnd.set(a.clientX,a.clientY),this._dollyDelta.subVectors(this._dollyEnd,this._dollyStart),this._dollyDelta.y>0?this._dollyOut(this._getZoomScale(this._dollyDelta.y)):this._dollyDelta.y<0&&this._dollyIn(this._getZoomScale(this._dollyDelta.y)),this._dollyStart.copy(this._dollyEnd),this.update()}_handleMouseMovePan(a){this._panEnd.set(a.clientX,a.clientY),this._panDelta.subVectors(this._panEnd,this._panStart).multiplyScalar(this.panSpeed),this._pan(this._panDelta.x,this._panDelta.y),this._panStart.copy(this._panEnd),this.update()}_handleMouseWheel(a){this._updateZoomParameters(a.clientX,a.clientY),a.deltaY<0?this._dollyIn(this._getZoomScale(a.deltaY)):a.deltaY>0&&this._dollyOut(this._getZoomScale(a.deltaY)),this.update()}_handleKeyDown(a){let x=!1;switch(a.code){case this.keys.UP:a.ctrlKey||a.metaKey||a.shiftKey?this.enableRotate&&this._rotateUp(Jf*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(0,this.keyPanSpeed),x=!0;break;case this.keys.BOTTOM:a.ctrlKey||a.metaKey||a.shiftKey?this.enableRotate&&this._rotateUp(-Jf*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(0,-this.keyPanSpeed),x=!0;break;case this.keys.LEFT:a.ctrlKey||a.metaKey||a.shiftKey?this.enableRotate&&this._rotateLeft(Jf*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(this.keyPanSpeed,0),x=!0;break;case this.keys.RIGHT:a.ctrlKey||a.metaKey||a.shiftKey?this.enableRotate&&this._rotateLeft(-Jf*this.keyRotateSpeed/this.domElement.clientHeight):this.enablePan&&this._pan(-this.keyPanSpeed,0),x=!0;break}x&&(a.preventDefault(),this.update())}_handleTouchStartRotate(a){if(this._pointers.length===1)this._rotateStart.set(a.pageX,a.pageY);else{const x=this._getSecondPointerPosition(a),y=.5*(a.pageX+x.x),E=.5*(a.pageY+x.y);this._rotateStart.set(y,E)}}_handleTouchStartPan(a){if(this._pointers.length===1)this._panStart.set(a.pageX,a.pageY);else{const x=this._getSecondPointerPosition(a),y=.5*(a.pageX+x.x),E=.5*(a.pageY+x.y);this._panStart.set(y,E)}}_handleTouchStartDolly(a){const x=this._getSecondPointerPosition(a),y=a.pageX-x.x,E=a.pageY-x.y,z=Math.sqrt(y*y+E*E);this._dollyStart.set(0,z)}_handleTouchStartDollyPan(a){this.enableZoom&&this._handleTouchStartDolly(a),this.enablePan&&this._handleTouchStartPan(a)}_handleTouchStartDollyRotate(a){this.enableZoom&&this._handleTouchStartDolly(a),this.enableRotate&&this._handleTouchStartRotate(a)}_handleTouchMoveRotate(a){if(this._pointers.length==1)this._rotateEnd.set(a.pageX,a.pageY);else{const y=this._getSecondPointerPosition(a),E=.5*(a.pageX+y.x),z=.5*(a.pageY+y.y);this._rotateEnd.set(E,z)}this._rotateDelta.subVectors(this._rotateEnd,this._rotateStart).multiplyScalar(this.rotateSpeed);const x=this.domElement;this._rotateLeft(Jf*this._rotateDelta.x/x.clientHeight),this._rotateUp(Jf*this._rotateDelta.y/x.clientHeight),this._rotateStart.copy(this._rotateEnd)}_handleTouchMovePan(a){if(this._pointers.length===1)this._panEnd.set(a.pageX,a.pageY);else{const x=this._getSecondPointerPosition(a),y=.5*(a.pageX+x.x),E=.5*(a.pageY+x.y);this._panEnd.set(y,E)}this._panDelta.subVectors(this._panEnd,this._panStart).multiplyScalar(this.panSpeed),this._pan(this._panDelta.x,this._panDelta.y),this._panStart.copy(this._panEnd)}_handleTouchMoveDolly(a){const x=this._getSecondPointerPosition(a),y=a.pageX-x.x,E=a.pageY-x.y,z=Math.sqrt(y*y+E*E);this._dollyEnd.set(0,z),this._dollyDelta.set(0,Math.pow(this._dollyEnd.y/this._dollyStart.y,this.zoomSpeed)),this._dollyOut(this._dollyDelta.y),this._dollyStart.copy(this._dollyEnd);const ee=(a.pageX+x.x)*.5,te=(a.pageY+x.y)*.5;this._updateZoomParameters(ee,te)}_handleTouchMoveDollyPan(a){this.enableZoom&&this._handleTouchMoveDolly(a),this.enablePan&&this._handleTouchMovePan(a)}_handleTouchMoveDollyRotate(a){this.enableZoom&&this._handleTouchMoveDolly(a),this.enableRotate&&this._handleTouchMoveRotate(a)}_addPointer(a){this._pointers.push(a.pointerId)}_removePointer(a){delete this._pointerPositions[a.pointerId];for(let x=0;x<this._pointers.length;x++)if(this._pointers[x]==a.pointerId){this._pointers.splice(x,1);return}}_isTrackingPointer(a){for(let x=0;x<this._pointers.length;x++)if(this._pointers[x]==a.pointerId)return!0;return!1}_trackPointer(a){let x=this._pointerPositions[a.pointerId];x===void 0&&(x=new ar,this._pointerPositions[a.pointerId]=x),x.set(a.pageX,a.pageY)}_getSecondPointerPosition(a){const x=a.pointerId===this._pointers[0]?this._pointers[1]:this._pointers[0];return this._pointerPositions[x]}_customWheelEvent(a){const x=a.deltaMode,y={clientX:a.clientX,clientY:a.clientY,deltaY:a.deltaY};switch(x){case 1:y.deltaY*=16;break;case 2:y.deltaY*=100;break}return a.ctrlKey&&!this._controlActive&&(y.deltaY*=10),y}}function nte(b){this.enabled!==!1&&(this._pointers.length===0&&(this.domElement.setPointerCapture(b.pointerId),this.domElement.addEventListener("pointermove",this._onPointerMove),this.domElement.addEventListener("pointerup",this._onPointerUp)),!this._isTrackingPointer(b)&&(this._addPointer(b),b.pointerType==="touch"?this._onTouchStart(b):this._onMouseDown(b)))}function rte(b){this.enabled!==!1&&(b.pointerType==="touch"?this._onTouchMove(b):this._onMouseMove(b))}function ite(b){switch(this._removePointer(b),this._pointers.length){case 0:this.domElement.releasePointerCapture(b.pointerId),this.domElement.removeEventListener("pointermove",this._onPointerMove),this.domElement.removeEventListener("pointerup",this._onPointerUp),this.dispatchEvent(eN),this.state=$l.NONE;break;case 1:const a=this._pointers[0],x=this._pointerPositions[a];this._onTouchStart({pointerId:a,pageX:x.x,pageY:x.y});break}}function ste(b){let a;switch(b.button){case 0:a=this.mouseButtons.LEFT;break;case 1:a=this.mouseButtons.MIDDLE;break;case 2:a=this.mouseButtons.RIGHT;break;default:a=-1}switch(a){case Xo.DOLLY:if(this.enableZoom===!1)return;this._handleMouseDownDolly(b),this.state=$l.DOLLY;break;case Xo.ROTATE:if(b.ctrlKey||b.metaKey||b.shiftKey){if(this.enablePan===!1)return;this._handleMouseDownPan(b),this.state=$l.PAN}else{if(this.enableRotate===!1)return;this._handleMouseDownRotate(b),this.state=$l.ROTATE}break;case Xo.PAN:if(b.ctrlKey||b.metaKey||b.shiftKey){if(this.enableRotate===!1)return;this._handleMouseDownRotate(b),this.state=$l.ROTATE}else{if(this.enablePan===!1)return;this._handleMouseDownPan(b),this.state=$l.PAN}break;default:this.state=$l.NONE}this.state!==$l.NONE&&this.dispatchEvent(S5)}function ate(b){switch(this.state){case $l.ROTATE:if(this.enableRotate===!1)return;this._handleMouseMoveRotate(b);break;case $l.DOLLY:if(this.enableZoom===!1)return;this._handleMouseMoveDolly(b);break;case $l.PAN:if(this.enablePan===!1)return;this._handleMouseMovePan(b);break}}function ote(b){this.enabled===!1||this.enableZoom===!1||this.state!==$l.NONE||(b.preventDefault(),this.dispatchEvent(S5),this._handleMouseWheel(this._customWheelEvent(b)),this.dispatchEvent(eN))}function lte(b){this.enabled!==!1&&this._handleKeyDown(b)}function ute(b){switch(this._trackPointer(b),this._pointers.length){case 1:switch(this.touches.ONE){case Al.ROTATE:if(this.enableRotate===!1)return;this._handleTouchStartRotate(b),this.state=$l.TOUCH_ROTATE;break;case Al.PAN:if(this.enablePan===!1)return;this._handleTouchStartPan(b),this.state=$l.TOUCH_PAN;break;default:this.state=$l.NONE}break;case 2:switch(this.touches.TWO){case Al.DOLLY_PAN:if(this.enableZoom===!1&&this.enablePan===!1)return;this._handleTouchStartDollyPan(b),this.state=$l.TOUCH_DOLLY_PAN;break;case Al.DOLLY_ROTATE:if(this.enableZoom===!1&&this.enableRotate===!1)return;this._handleTouchStartDollyRotate(b),this.state=$l.TOUCH_DOLLY_ROTATE;break;default:this.state=$l.NONE}break;default:this.state=$l.NONE}this.state!==$l.NONE&&this.dispatchEvent(S5)}function cte(b){switch(this._trackPointer(b),this.state){case $l.TOUCH_ROTATE:if(this.enableRotate===!1)return;this._handleTouchMoveRotate(b),this.update();break;case $l.TOUCH_PAN:if(this.enablePan===!1)return;this._handleTouchMovePan(b),this.update();break;case $l.TOUCH_DOLLY_PAN:if(this.enableZoom===!1&&this.enablePan===!1)return;this._handleTouchMoveDollyPan(b),this.update();break;case $l.TOUCH_DOLLY_ROTATE:if(this.enableZoom===!1&&this.enableRotate===!1)return;this._handleTouchMoveDollyRotate(b),this.update();break;default:this.state=$l.NONE}}function dte(b){this.enabled!==!1&&b.preventDefault()}function fte(b){b.key==="Control"&&(this._controlActive=!0,this.domElement.getRootNode().addEventListener("keyup",this._interceptControlUp,{passive:!0,capture:!0}))}function hte(b){b.key==="Control"&&(this._controlActive=!1,this.domElement.getRootNode().removeEventListener("keyup",this._interceptControlUp,{passive:!0,capture:!0}))}const pte={type:"change"},nN=1e-6,rN=new pc;class mte extends xE{constructor(a,x=null){super(a,x),this.movementSpeed=1,this.rollSpeed=.005,this.dragToLook=!1,this.autoForward=!1,this._moveState={up:0,down:0,left:0,right:0,forward:0,back:0,pitchUp:0,pitchDown:0,yawLeft:0,yawRight:0,rollLeft:0,rollRight:0},this._moveVector=new ft(0,0,0),this._rotationVector=new ft(0,0,0),this._lastQuaternion=new pc,this._lastPosition=new ft,this._status=0,this._onKeyDown=gte.bind(this),this._onKeyUp=vte.bind(this),this._onPointerMove=xte.bind(this),this._onPointerDown=Ate.bind(this),this._onPointerUp=yte.bind(this),this._onPointerCancel=bte.bind(this),this._onContextMenu=Ete.bind(this),x!==null&&this.connect(x)}connect(a){super.connect(a),window.addEventListener("keydown",this._onKeyDown),window.addEventListener("keyup",this._onKeyUp),this.domElement.addEventListener("pointermove",this._onPointerMove),this.domElement.addEventListener("pointerdown",this._onPointerDown),this.domElement.addEventListener("pointerup",this._onPointerUp),this.domElement.addEventListener("pointercancel",this._onPointerCancel),this.domElement.addEventListener("contextmenu",this._onContextMenu)}disconnect(){window.removeEventListener("keydown",this._onKeyDown),window.removeEventListener("keyup",this._onKeyUp),this.domElement.removeEventListener("pointermove",this._onPointerMove),this.domElement.removeEventListener("pointerdown",this._onPointerDown),this.domElement.removeEventListener("pointerup",this._onPointerUp),this.domElement.removeEventListener("pointercancel",this._onPointerCancel),this.domElement.removeEventListener("contextmenu",this._onContextMenu)}dispose(){this.disconnect()}update(a){if(this.enabled===!1)return;const x=this.object,y=a*this.movementSpeed,E=a*this.rollSpeed;x.translateX(this._moveVector.x*y),x.translateY(this._moveVector.y*y),x.translateZ(this._moveVector.z*y),rN.set(this._rotationVector.x*E,this._rotationVector.y*E,this._rotationVector.z*E,1).normalize(),x.quaternion.multiply(rN),(this._lastPosition.distanceToSquared(x.position)>nN||8*(1-this._lastQuaternion.dot(x.quaternion))>nN)&&(this.dispatchEvent(pte),this._lastQuaternion.copy(x.quaternion),this._lastPosition.copy(x.position))}_updateMovementVector(){const a=this._moveState.forward||this.autoForward&&!this._moveState.back?1:0;this._moveVector.x=-this._moveState.left+this._moveState.right,this._moveVector.y=-this._moveState.down+this._moveState.up,this._moveVector.z=-a+this._moveState.back}_updateRotationVector(){this._rotationVector.x=-this._moveState.pitchDown+this._moveState.pitchUp,this._rotationVector.y=-this._moveState.yawRight+this._moveState.yawLeft,this._rotationVector.z=-this._moveState.rollRight+this._moveState.rollLeft}_getContainerDimensions(){return this.domElement!=document?{size:[this.domElement.offsetWidth,this.domElement.offsetHeight],offset:[this.domElement.offsetLeft,this.domElement.offsetTop]}:{size:[window.innerWidth,window.innerHeight],offset:[0,0]}}}function gte(b){if(!(b.altKey||this.enabled===!1)){switch(b.code){case"ShiftLeft":case"ShiftRight":this.movementSpeedMultiplier=.1;break;case"KeyW":this._moveState.forward=1;break;case"KeyS":this._moveState.back=1;break;case"KeyA":this._moveState.left=1;break;case"KeyD":this._moveState.right=1;break;case"KeyR":this._moveState.up=1;break;case"KeyF":this._moveState.down=1;break;case"ArrowUp":this._moveState.pitchUp=1;break;case"ArrowDown":this._moveState.pitchDown=1;break;case"ArrowLeft":this._moveState.yawLeft=1;break;case"ArrowRight":this._moveState.yawRight=1;break;case"KeyQ":this._moveState.rollLeft=1;break;case"KeyE":this._moveState.rollRight=1;break}this._updateMovementVector(),this._updateRotationVector()}}function vte(b){if(this.enabled!==!1){switch(b.code){case"ShiftLeft":case"ShiftRight":this.movementSpeedMultiplier=1;break;case"KeyW":this._moveState.forward=0;break;case"KeyS":this._moveState.back=0;break;case"KeyA":this._moveState.left=0;break;case"KeyD":this._moveState.right=0;break;case"KeyR":this._moveState.up=0;break;case"KeyF":this._moveState.down=0;break;case"ArrowUp":this._moveState.pitchUp=0;break;case"ArrowDown":this._moveState.pitchDown=0;break;case"ArrowLeft":this._moveState.yawLeft=0;break;case"ArrowRight":this._moveState.yawRight=0;break;case"KeyQ":this._moveState.rollLeft=0;break;case"KeyE":this._moveState.rollRight=0;break}this._updateMovementVector(),this._updateRotationVector()}}function Ate(b){if(this.enabled!==!1)if(this.dragToLook)this._status++;else{switch(b.button){case 0:this._moveState.forward=1;break;case 2:this._moveState.back=1;break}this._updateMovementVector()}}function xte(b){if(this.enabled!==!1&&(!this.dragToLook||this._status>0)){const a=this._getContainerDimensions(),x=a.size[0]/2,y=a.size[1]/2;this._moveState.yawLeft=-(b.pageX-a.offset[0]-x)/x,this._moveState.pitchDown=(b.pageY-a.offset[1]-y)/y,this._updateRotationVector()}}function yte(b){if(this.enabled!==!1){if(this.dragToLook)this._status--,this._moveState.yawLeft=this._moveState.pitchDown=0;else{switch(b.button){case 0:this._moveState.forward=0;break;case 2:this._moveState.back=0;break}this._updateMovementVector()}this._updateRotationVector()}}function bte(){this.enabled!==!1&&(this.dragToLook?(this._status=0,this._moveState.yawLeft=this._moveState.pitchDown=0):(this._moveState.forward=0,this._moveState.back=0,this._updateMovementVector()),this._updateRotationVector())}function Ete(b){this.enabled!==!1&&b.preventDefault()}const wte={name:"CopyShader",uniforms:{tDiffuse:{value:null},opacity:{value:1}},vertexShader:`

		varying vec2 vUv;

		void main() {

			vUv = uv;
			gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );

		}`,fragmentShader:`

		uniform float opacity;

		uniform sampler2D tDiffuse;

		varying vec2 vUv;

		void main() {

			vec4 texel = texture2D( tDiffuse, vUv );
			gl_FragColor = opacity * texel;


		}`};class oC{constructor(){this.isPass=!0,this.enabled=!0,this.needsSwap=!0,this.clear=!1,this.renderToScreen=!1}setSize(){}render(){console.error("THREE.Pass: .render() must be implemented in derived pass.")}dispose(){}}const Cte=new _A(-1,1,1,-1,0,1);class Pte extends io{constructor(){super(),this.setAttribute("position",new Ls([-1,3,0,-1,-1,0,3,-1,0],3)),this.setAttribute("uv",new Ls([0,2,0,0,2,0],2))}}const Ste=new Pte;class Bte{constructor(a){this._mesh=new Il(Ste,a)}dispose(){this._mesh.geometry.dispose()}render(a){a.render(this._mesh,Cte)}get material(){return this._mesh.material}set material(a){this._mesh.material=a}}class Mte extends oC{constructor(a,x="tDiffuse"){super(),this.textureID=x,this.uniforms=null,this.material=null,a instanceof qh?(this.uniforms=a.uniforms,this.material=a):a&&(this.uniforms=zB.clone(a.uniforms),this.material=new qh({name:a.name!==void 0?a.name:"unspecified",defines:Object.assign({},a.defines),uniforms:this.uniforms,vertexShader:a.vertexShader,fragmentShader:a.fragmentShader})),this._fsQuad=new Bte(this.material)}render(a,x,y){this.uniforms[this.textureID]&&(this.uniforms[this.textureID].value=y.texture),this._fsQuad.material=this.material,this.renderToScreen?(a.setRenderTarget(null),this._fsQuad.render(a)):(a.setRenderTarget(x),this.clear&&a.clear(a.autoClearColor,a.autoClearDepth,a.autoClearStencil),this._fsQuad.render(a))}dispose(){this.material.dispose(),this._fsQuad.dispose()}}class iN extends oC{constructor(a,x){super(),this.scene=a,this.camera=x,this.clear=!0,this.needsSwap=!1,this.inverse=!1}render(a,x,y){const E=a.getContext(),z=a.state;z.buffers.color.setMask(!1),z.buffers.depth.setMask(!1),z.buffers.color.setLocked(!0),z.buffers.depth.setLocked(!0);let ee,te;this.inverse?(ee=0,te=1):(ee=1,te=0),z.buffers.stencil.setTest(!0),z.buffers.stencil.setOp(E.REPLACE,E.REPLACE,E.REPLACE),z.buffers.stencil.setFunc(E.ALWAYS,ee,4294967295),z.buffers.stencil.setClear(te),z.buffers.stencil.setLocked(!0),a.setRenderTarget(y),this.clear&&a.clear(),a.render(this.scene,this.camera),a.setRenderTarget(x),this.clear&&a.clear(),a.render(this.scene,this.camera),z.buffers.color.setLocked(!1),z.buffers.depth.setLocked(!1),z.buffers.color.setMask(!0),z.buffers.depth.setMask(!0),z.buffers.stencil.setLocked(!1),z.buffers.stencil.setFunc(E.EQUAL,1,4294967295),z.buffers.stencil.setOp(E.KEEP,E.KEEP,E.KEEP),z.buffers.stencil.setLocked(!0)}}class Tte extends oC{constructor(){super(),this.needsSwap=!1}render(a){a.state.buffers.stencil.setLocked(!1),a.state.buffers.stencil.setTest(!1)}}class Dte{constructor(a,x){if(this.renderer=a,this._pixelRatio=a.getPixelRatio(),x===void 0){const y=a.getSize(new ar);this._width=y.width,this._height=y.height,x=new M0(this._width*this._pixelRatio,this._height*this._pixelRatio,{type:bl}),x.texture.name="EffectComposer.rt1"}else this._width=x.width,this._height=x.height;this.renderTarget1=x,this.renderTarget2=x.clone(),this.renderTarget2.texture.name="EffectComposer.rt2",this.writeBuffer=this.renderTarget1,this.readBuffer=this.renderTarget2,this.renderToScreen=!0,this.passes=[],this.copyPass=new Mte(wte),this.copyPass.material.blending=tu,this.clock=new r2}swapBuffers(){const a=this.readBuffer;this.readBuffer=this.writeBuffer,this.writeBuffer=a}addPass(a){this.passes.push(a),a.setSize(this._width*this._pixelRatio,this._height*this._pixelRatio)}insertPass(a,x){this.passes.splice(x,0,a),a.setSize(this._width*this._pixelRatio,this._height*this._pixelRatio)}removePass(a){const x=this.passes.indexOf(a);x!==-1&&this.passes.splice(x,1)}isLastEnabledPass(a){for(let x=a+1;x<this.passes.length;x++)if(this.passes[x].enabled)return!1;return!0}render(a){a===void 0&&(a=this.clock.getDelta());const x=this.renderer.getRenderTarget();let y=!1;for(let E=0,z=this.passes.length;E<z;E++){const ee=this.passes[E];if(ee.enabled!==!1){if(ee.renderToScreen=this.renderToScreen&&this.isLastEnabledPass(E),ee.render(this.renderer,this.writeBuffer,this.readBuffer,a,y),ee.needsSwap){if(y){const te=this.renderer.getContext(),ne=this.renderer.state.buffers.stencil;ne.setFunc(te.NOTEQUAL,1,4294967295),this.copyPass.render(this.renderer,this.writeBuffer,this.readBuffer,a),ne.setFunc(te.EQUAL,1,4294967295)}this.swapBuffers()}iN!==void 0&&(ee instanceof iN?y=!0:ee instanceof Tte&&(y=!1))}}this.renderer.setRenderTarget(x)}reset(a){if(a===void 0){const x=this.renderer.getSize(new ar);this._pixelRatio=this.renderer.getPixelRatio(),this._width=x.width,this._height=x.height,a=this.renderTarget1.clone(),a.setSize(this._width*this._pixelRatio,this._height*this._pixelRatio)}this.renderTarget1.dispose(),this.renderTarget2.dispose(),this.renderTarget1=a,this.renderTarget2=a.clone(),this.writeBuffer=this.renderTarget1,this.readBuffer=this.renderTarget2}setSize(a,x){this._width=a,this._height=x;const y=this._width*this._pixelRatio,E=this._height*this._pixelRatio;this.renderTarget1.setSize(y,E),this.renderTarget2.setSize(y,E);for(let z=0;z<this.passes.length;z++)this.passes[z].setSize(y,E)}setPixelRatio(a){this._pixelRatio=a,this.setSize(this._width,this._height)}dispose(){this.renderTarget1.dispose(),this.renderTarget2.dispose(),this.copyPass.dispose()}}class Ite extends oC{constructor(a,x,y=null,E=null,z=null){super(),this.scene=a,this.camera=x,this.overrideMaterial=y,this.clearColor=E,this.clearAlpha=z,this.clear=!0,this.clearDepth=!1,this.needsSwap=!1,this._oldClearColor=new Ki}render(a,x,y){const E=a.autoClear;a.autoClear=!1;let z,ee;this.overrideMaterial!==null&&(ee=this.scene.overrideMaterial,this.scene.overrideMaterial=this.overrideMaterial),this.clearColor!==null&&(a.getClearColor(this._oldClearColor),a.setClearColor(this.clearColor,a.getClearAlpha())),this.clearAlpha!==null&&(z=a.getClearAlpha(),a.setClearAlpha(this.clearAlpha)),this.clearDepth==!0&&a.clearDepth(),a.setRenderTarget(this.renderToScreen?null:y),this.clear===!0&&a.clear(a.autoClearColor,a.autoClearDepth,a.autoClearStencil),a.render(this.scene,this.camera),this.clearColor!==null&&a.setClearColor(this._oldClearColor),this.clearAlpha!==null&&a.setClearAlpha(z),this.overrideMaterial!==null&&(this.scene.overrideMaterial=ee),a.autoClear=E}}var fp=Be(54476),Nte=Be(31226),Fte=Be(69168),Lte=Be(5529);function sN(){var b;return b=arguments.length-1,b<0||arguments.length<=b?void 0:arguments[b]}function Rte(b){return-b}function Ote(b,a){return b+a}function zte(b,a){return b-a}function kte(b,a){return b*a}function Hte(b,a){return b/a}function Ute(){return Math.max.apply(Math,arguments)}function jte(){return Math.min.apply(Math,arguments)}function Vte(){return Array.of.apply(Array,arguments)}var qfe={symbols:{"*":{infix:{symbol:"*",f:kte,notation:"infix",precedence:4,rightToLeft:0,argCount:2},symbol:"*",regSymbol:"\\*"},"/":{infix:{symbol:"/",f:Hte,notation:"infix",precedence:4,rightToLeft:0,argCount:2},symbol:"/",regSymbol:"/"},"+":{infix:{symbol:"+",f:Ote,notation:"infix",precedence:2,rightToLeft:0,argCount:2},prefix:{symbol:"+",f:sN,notation:"prefix",precedence:3,rightToLeft:0,argCount:1},symbol:"+",regSymbol:"\\+"},"-":{infix:{symbol:"-",f:zte,notation:"infix",precedence:2,rightToLeft:0,argCount:2},prefix:{symbol:"-",f:Rte,notation:"prefix",precedence:3,rightToLeft:0,argCount:1},symbol:"-",regSymbol:"-"},",":{infix:{symbol:",",f:Vte,notation:"infix",precedence:1,rightToLeft:0,argCount:2},symbol:",",regSymbol:","},"(":{prefix:{symbol:"(",f:sN,notation:"prefix",precedence:0,rightToLeft:0,argCount:1},symbol:"(",regSymbol:"\\("},")":{postfix:{symbol:")",f:void 0,notation:"postfix",precedence:0,rightToLeft:0,argCount:1},symbol:")",regSymbol:"\\)"},min:{func:{symbol:"min",f:jte,notation:"func",precedence:0,rightToLeft:0,argCount:1},symbol:"min",regSymbol:"min\\b"},max:{func:{symbol:"max",f:Ute,notation:"func",precedence:0,rightToLeft:0,argCount:1},symbol:"max",regSymbol:"max\\b"}}},aN=null,_fe={1:`Passed invalid arguments to hsl, please pass multiple numbers e.g. hsl(360, 0.75, 0.4) or an object e.g. rgb({ hue: 255, saturation: 0.4, lightness: 0.75 }).

`,2:`Passed invalid arguments to hsla, please pass multiple numbers e.g. hsla(360, 0.75, 0.4, 0.7) or an object e.g. rgb({ hue: 255, saturation: 0.4, lightness: 0.75, alpha: 0.7 }).

`,3:`Passed an incorrect argument to a color function, please pass a string representation of a color.

`,4:`Couldn't generate valid rgb string from %s, it returned %s.

`,5:`Couldn't parse the color string. Please provide the color as a string in hex, rgb, rgba, hsl or hsla notation.

`,6:`Passed invalid arguments to rgb, please pass multiple numbers e.g. rgb(255, 205, 100) or an object e.g. rgb({ red: 255, green: 205, blue: 100 }).

`,7:`Passed invalid arguments to rgba, please pass multiple numbers e.g. rgb(255, 205, 100, 0.75) or an object e.g. rgb({ red: 255, green: 205, blue: 100, alpha: 0.75 }).

`,8:`Passed invalid argument to toColorString, please pass a RgbColor, RgbaColor, HslColor or HslaColor object.

`,9:`Please provide a number of steps to the modularScale helper.

`,10:`Please pass a number or one of the predefined scales to the modularScale helper as the ratio.

`,11:`Invalid value passed as base to modularScale, expected number or em string but got "%s"

`,12:`Expected a string ending in "px" or a number passed as the first argument to %s(), got "%s" instead.

`,13:`Expected a string ending in "px" or a number passed as the second argument to %s(), got "%s" instead.

`,14:`Passed invalid pixel value ("%s") to %s(), please pass a value like "12px" or 12.

`,15:`Passed invalid base value ("%s") to %s(), please pass a value like "12px" or 12.

`,16:`You must provide a template to this method.

`,17:`You passed an unsupported selector state to this method.

`,18:`minScreen and maxScreen must be provided as stringified numbers with the same units.

`,19:`fromSize and toSize must be provided as stringified numbers with the same units.

`,20:`expects either an array of objects or a single object with the properties prop, fromSize, and toSize.

`,21:"expects the objects in the first argument array to have the properties `prop`, `fromSize`, and `toSize`.\n\n",22:"expects the first argument object to have the properties `prop`, `fromSize`, and `toSize`.\n\n",23:`fontFace expects a name of a font-family.

`,24:`fontFace expects either the path to the font file(s) or a name of a local copy.

`,25:`fontFace expects localFonts to be an array.

`,26:`fontFace expects fileFormats to be an array.

`,27:`radialGradient requries at least 2 color-stops to properly render.

`,28:`Please supply a filename to retinaImage() as the first argument.

`,29:`Passed invalid argument to triangle, please pass correct pointingDirection e.g. 'right'.

`,30:"Passed an invalid value to `height` or `width`. Please provide a pixel based unit.\n\n",31:`The animation shorthand only takes 8 arguments. See the specification for more information: http://mdn.io/animation

`,32:`To pass multiple animations please supply them in arrays, e.g. animation(['rotate', '2s'], ['move', '1s'])
To pass a single animation please supply them in simple values, e.g. animation('rotate', '2s')

`,33:`The animation shorthand arrays can only have 8 elements. See the specification for more information: http://mdn.io/animation

`,34:`borderRadius expects a radius value as a string or number as the second argument.

`,35:`borderRadius expects one of "top", "bottom", "left" or "right" as the first argument.

`,36:`Property must be a string value.

`,37:`Syntax Error at %s.

`,38:`Formula contains a function that needs parentheses at %s.

`,39:`Formula is missing closing parenthesis at %s.

`,40:`Formula has too many closing parentheses at %s.

`,41:`All values in a formula must have the same unit or be unitless.

`,42:`Please provide a number of steps to the modularScale helper.

`,43:`Please pass a number or one of the predefined scales to the modularScale helper as the ratio.

`,44:`Invalid value passed as base to modularScale, expected number or em/rem string but got %s.

`,45:`Passed invalid argument to hslToColorString, please pass a HslColor or HslaColor object.

`,46:`Passed invalid argument to rgbToColorString, please pass a RgbColor or RgbaColor object.

`,47:`minScreen and maxScreen must be provided as stringified numbers with the same units.

`,48:`fromSize and toSize must be provided as stringified numbers with the same units.

`,49:`Expects either an array of objects or a single object with the properties prop, fromSize, and toSize.

`,50:`Expects the objects in the first argument array to have the properties prop, fromSize, and toSize.

`,51:`Expects the first argument object to have the properties prop, fromSize, and toSize.

`,52:`fontFace expects either the path to the font file(s) or a name of a local copy.

`,53:`fontFace expects localFonts to be an array.

`,54:`fontFace expects fileFormats to be an array.

`,55:`fontFace expects a name of a font-family.

`,56:`linearGradient requries at least 2 color-stops to properly render.

`,57:`radialGradient requries at least 2 color-stops to properly render.

`,58:`Please supply a filename to retinaImage() as the first argument.

`,59:`Passed invalid argument to triangle, please pass correct pointingDirection e.g. 'right'.

`,60:"Passed an invalid value to `height` or `width`. Please provide a pixel based unit.\n\n",61:`Property must be a string value.

`,62:`borderRadius expects a radius value as a string or number as the second argument.

`,63:`borderRadius expects one of "top", "bottom", "left" or "right" as the first argument.

`,64:`The animation shorthand only takes 8 arguments. See the specification for more information: http://mdn.io/animation.

`,65:`To pass multiple animations please supply them in arrays, e.g. animation(['rotate', '2s'], ['move', '1s'])\\nTo pass a single animation please supply them in simple values, e.g. animation('rotate', '2s').

`,66:`The animation shorthand arrays can only have 8 elements. See the specification for more information: http://mdn.io/animation.

`,67:`You must provide a template to this method.

`,68:`You passed an unsupported selector state to this method.

`,69:`Expected a string ending in "px" or a number passed as the first argument to %s(), got %s instead.

`,70:`Expected a string ending in "px" or a number passed as the second argument to %s(), got %s instead.

`,71:`Passed invalid pixel value %s to %s(), please pass a value like "12px" or 12.

`,72:`Passed invalid base value %s to %s(), please pass a value like "12px" or 12.

`,73:`Please provide a valid CSS variable.

`,74:`CSS variable not found and no default was provided.

`,75:`important requires a valid style object, got a %s instead.

`,76:`fromSize and toSize must be provided as stringified numbers with the same units as minScreen and maxScreen.

`,77:`remToPx expects a value in "rem" but you provided it in "%s".

`,78:`base must be set in "px" or "%" but you set it in "%s".
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+z/hklFfymQZS+uc6W80OWg1Cawzxq8B+Ndu77ONsKCBhjK2yD1zRb5gG8CAdlQDRiy+ywSMZg2QQJINz1tu9+CIbdPhPGMwylaJUq+THNoBW/wO186C9814AJPoML730kvZdzp8/T8tN94sq4Pz585IF8NJLL1G5efzz7m8l+ZEOS3XYyCLa0H5WtI0qOmYpDzLwDKrDDe0oP/jBD2z+wQ/6IlX99dMAGRyuXbuGX3jhBWSSGlm/mf2Lj0HRmLN+LxBJquQzRSj6J4BkbNe1bqQNBSSMsX3hwgXlGc7Rdz7H/jH+LlzQ3zLVS+gNFWN2lfzi+r8Azp07h8QOrAOidBvLbXfu3DmtN7vfemrP6JdPv/Xuc/lbF5B+9KMfOecUBLl06VImSJ45cyZzKYbXV+lMfIvS8U5WyTfqH1+4wHxAeYNJ2VH2gjL6qH2G8+NklfyyGpbopQFmIE59VN5oC8nhjsxLl/jTx3/QgjNnzmhfK6Fntw1kcd1LaoXoDudfyR9c/6qOy4J9H/03s0olXx488gZ7osyPP/4Y/dEf/VG42m1RlN+GAtLFixfdZrO5ps9w7NgxyaK6du3amspTFb9V5KvvWbQDVnT3nAaIhbQ1AQlj7HIL6do1uWGOHdM31DWF8JiJUKmexz/vPmdXyZcbSqd/VUfFPzne6EpnKMiAP0slvz/9AXAMHDsGwi0NSB9++GEVi1Twg7tfyQ4fPixZqR9++CG1Uk3lpvcsS8/5VPKL6//WrVvh888/H2xUX1vX6Yv6klevXq0NDQ1RQDp06FCpbQoffihzO3w4W4UfKhUORxWuX79OdVDJH0z/AJAG4Y2gNM669e5KPlN1//rf4oCEa0ND1ysLad0+2EpQpYFsDczOzoZnz571N0pPG2ohffDBB3XHOSw9g+PcWtNnCoKxTEuskt+//oMgMOj2UE7/vm643289lV2/fPqtd//K3/KA1Gg01slCGlN6ya11HgS2uvz+1X3zplx3fLx/Xv3U3Eryx8bGAgjh1rSQPvnkk0a9XqeAdOcO6yr79u2XRlnbntBaTJyed7ADB7K7mkqv1qvkD67/MORtpwf7yUlb25b79oWKZaWCN3u2yUnWF9L0vDV5vUq+7msoov8KkCJAMsHJ9PQ07YR79+4t5PSenrYielSIPm/ErOSX03+ePqv797YG5ufng+PHj3sb9ZRr6q/Jeyn8CW5MNidtNvrJ1Pv26Wvn0Znup8o5+0hOHl9Onke3VeWL7713rzwY8EFCbdGidKZ+xOur/IvyLUq3leQ7zj7/+HG4NQHp5s2bzaWlOgWk5DdtaP+9tHz3brmzz84yiwgAtZ6JflYBYUZXyeca6F//u3fvLmWV5oF73oA26P1KftoI2Ldvnw/hFgakep0B0rThO9ir4kWkQ5We05n4pEdnBYYq+drvu6j+BwWHcvX1g085HoNQb175tdqif+TIkd4g2hmk7oZO2S5evDO0bduSYiHtjt5ndpD3GqBuJZ8pr7z+d+3aJVlIc3NztH+p5QM0Tqmqlfzy+l9c3OsfOQK3JiDduXNnaGnJVQCJ9bndHBc4PJX8Pqr68rc7uy76U4UojVgKTvohruTLWiuv/3p9xX/kkUe6/Wh/NepsqIX01lt3h4eGlhVA2qW811zJ9+T11XoqX842j66SX7QBwnAHtZAWFhZov1IHhTw+vD6ns23Gx1Su8qvkD67/LQ9Ivt8iOZHA6ChTpvpbXGSdUv2p9CY6Xi+Pf979Sr6sAZ3+0zrMA/s8iBr0fiVf1qBpUE6oHGeX98gjcGtaSHfv3h1utRggAbAz0sq80gtN5abOyun5fZVfXr1KvqyhYvqfF9S2M6oiltEWzinPg5+y/MrSV/IBqNVq3vj4eCdPF2t1f0OnbFevXt3meUMRIK3VK1Z811sD27ePllr+58+3tLRI+2NVf+P0F4az3tmzZ9vr3We4vA0GpKltQ0OuAZAWFJ3soNcLC3L5jh2sHAA9vbk8T+WVfFlDZfWf1FaaDPAmG7RcbcG4Kyg3BpVjet7NKH92tu6dPXtg6wJSGHZI1sjqd59rYGRkO15eXlqXAW5kRA6OXV7mwbHro8TNLN/z3N6WBaR33313pNlsShbSygrrXGEodzrbXonKt0nTgdFR1gl5vW3b5HqLi9mdlNfnVJX8/vSfp+f1gYpKyqAa2LPH7R04sEUtJAJIYThcWUiD9qKqfqWBVdJAELi9p59+sLVK7EqzWRcT2/RUr776wfaRkQa1kFZWmAW0ffuIRL60pNZeznxJXh8hLFlSlgW178rpKvmD63/bNtl6Ld0bC1bgbaWSV/IH1//U1JL3/PPHVwo2xaqTbTggjY42Kwtp1Zv13mC4tCQPHupg0+9Tpgcpxmn7dpljJb+8/hFa7B0/vkUB6YMPPti+uIhqrBtxy0i1gEzlpu5clp7zqeQzTfSn/+Hh4dgibbVadKATy8g1L+8XiEz8ypZX8s0aaDZ3do8ff2BrWkgXL340alkMkNROVbTTmDp/Vb+YBtZCf8sKpsWTcHk2DlJ0Be+r9eIhJapfyZfbvoz+MV7qHT16NNsvUqxr9UW1oVM2BkhDkYWkPr8K0tsigkHLVTmcbyVf1kBZPZPa5QbW1bagyn4BlfzEquUW7NBQ2N2ygPTRRx+NrqzgOu3KSl/eZsIJDksGepUP76TNpqx822bTCv6r5Mufc1n9q/otCw7l6E1gWY5L/9SbV/7QkNM9enTv1rSQREBKOofJEuq/+5SrWcln+ipn7ZTTcUV9r2qg08Hdz372SGpte72ed0OnbG+88cmOXo9ZSGv1G44Yb1RgxVaS32zKQamdztpGUDebQ8qeORlEK/nl9e84uHv27GM54cRr9bUCsKGA9NOfXt7putsip/bqvmRLQaC8OKRhjhyr9BhbUb76znk6VelV1fP6RfkWpeNyKvnpzr6lAeny5cs7u92RNbWQVglfKjalNMD2ZjabTcmC6XT0wakAqHs5h3KkmfZ+8nqV/H71b1mNzha2kG7sxLjVIMobivoSQnIntqwOteLaSh/k9OlyuVOW5VeWvpLPsKPRkNutFH5VxPeMBlwXdJ955hE11cW6Pd+GTtkuX76x0/MwBaTqt5k0UNTiKUqn6iavXt59zq8o3daRb9u4s2UB6ZVXru5CyC4FSI1GQ5oGdLvddQXVSn55/Zt0VlaXKr0KE6a+UMnXt5lOLxh7nd/4jaeKplld9VF0XT9m9elfeeXmrkZjfSwk05Rv1TVqYLiV5LeVlx3i82ujbmRLhdOrfACQp+Ocncq/kq/Xp6mvi/rCuNn5jd94eOsCEgDt5nqBQiXn3tIA9zt1u8xPuN6/Sj7z+8n6Dzq//uvHyx61s2pNtyEdgT/9a6+9szsMLWXKxkZBy5KnYh0l7Xi9LpuhvZ5M31RgjtdX65lWeCr55fVfr8txSEkv7XfVLLaBlA5fNsNqJT8bMUR9bnFAwtipLKRVG182lhEH/bhBV6ll1cFIHWz4W1fymSYG0T+EQeczn3my5LGiq9fvNtxC6nZdafiq1+XEar2eKXalrBJMJ7vIX00lv3/9q7pTWyjdlqxN0larvm15/Tw5pp5RyVe/pbT+tzgg3drd7XYpIPFRzzQaFh0l1c5Yll9Z+jxYLMuvLP29Il997rznKnLf1CeK1F0Nmq0ov9FotD/zmbGtaSH96Efv7XEcJ7KQVAvGZO/n0Znu91svBXFKgfqcW10+UU+xcwbz/IB5oMLrJ/5D3haV/Dzd6SxToscgcNvPP//ETJH6a0GzoVO2ixff27O4GGp3kdVqdSneyPN69FlN5SbllKXnfCr55fWv6mwtOmzFc2010GwG7bNntzAg9XpuBEim48QNcZNdhT4nvDJFHtPzPyr5+q5eXv+qrlW+DYWlqW3y+HC+efwq+bIGsvTlum77N3/zyPTawp6Z+4ZaSD/5yQd7wzBY5X32G6XKrS1XZx2ZrNr10lQlXz+ryNJ/GIYVIK1NB1VHdpMFtDbSAdjq8tdKrxXftdRArea2n3vu8NRaysjiveEWUqcT0hSNqRnUgBoxT9Fkxpyukh/ppdTOQlmX/Iw7z2PLy2WnUqqVZVlshC97xl4lv3/912rh1gWkl//prQc6NqSA5Lo1Jfsf6+y+72lBU6XndEXL+adkqqfeV/GxqJyi/DfD+5veYcCxpaq+jhrwfb/9xS+enFxHkZKoDbWQ/umf3nrAtps56fw3SjWV3HIaEKfEpoWCfsv5k6jT7n75leWzleRva33xi49uTUB6+eW3Huh2LeU0ruzPAGN5ORpCZtYX/fFpAXd4Fq3H6Sr5+fpXdVQ35ATt9WTt87bkbaTe53zUcs6F16/ky21URv+WZbWef/743bLfxWrRl/qYV0so5/N3f3dl37ZtjZIWkml0W+2nM/Gr5Mua0Tmd8hYQylo2Rds2L4SD86nkM02k+zKZsv3O7xybKKrx1abbcECq18tZSKutgIrfva+BPN+Uyc+4Wm+2teTD1pYFpH/5lyv7bFsGJN9nKwQukjd5gsju7Cn2OjdH43quujk0u1uq5mwlvz/9Ey2XnWKtFmCY+ORN8Sr5aQ1YVq/9pS+dvrPWujHx31ALiQASQvb2jXr5Sm6lAa4BxZ0FuNuLlBc5FkcdKMkAWqTevSa/DqzWl750dGsC0g9/ePVB14XUqZ2Y3Wozql1F/oiKL7/r05i4kUVVyefhFYPpfz0grmgoSJFnob2Ld7EMBBEBistXyZESulJYk/eS/J7X/trXTt2OdYcxM1oglMNyeLmq5KJ0vJ7yWW6ohUQAqV63qIVkWjkpukKg6kWtl8c/777K30TP6baafPK+aZ3Ig4lqM2QPNVlwYrJnUq0kFXD5/cvNs2ey5ReztQrDqEBoQtKiekpYIWS1vvbVx7euhWRZwWiRJqho7m0NiJYqtyAQkoNdLUsf5Fr0zUz8TFZylnxPEUqPTwYAZJU7qIaDQHiHGgCkHpHfUgJ4STmRr6PPkyM+mvhc6yEfY9D68u8+FVtI3CwyWS6m+6tVXrRvrAodsZAQCncQZo6jj9TOE8QbvKp/L+mv6MicR5fl2RF7Rt7kqA4kYMjrVAoiECDgRTo+pO+Zytl88P6RH9Zg682f/+fb3/ve97Q7J/JU9+KLL1Ls6rf+hk7ZfvSjTx70vGUKSJ46NOW9eXS/Fg0hVf2CClMtg1XSXz9tqA4ifYNG1qvXiH/S5D+UQXytwwfUxzRZdv21ZPlaOvkBgq1rXzt+y8jtReXO9wrKfVGp+L2oolK+oYD0j/94bX8QMAup/M9kXOs5YSyHA0A4aK7uSr6oadd14xFVHRz4oGFqYxN92XLOn9Tzhfat5Sx3eYohxunLlsfyDfyM738Pyc8FpPIfaqkaDJCIx1z1jpdiU5BYkcMBiXzafK4cN6o6kmtEqPViiIj+iK0nTV1R3kbLL6i9iqygBgLL2tCBtuBj3pNkIYatK19+8uZGPVwCSPwJxKYsOIskZJLBocQ0Si/HDROMwff/6xv7m259B/B6sTMxAQqTX4CVM8zpSUDGAammjQDRrK0IQ2FSlz/t+spPd4A8v4ipyxRdccnrcuXkO05iIamcg8DPBAi1bh495y/WCwILpkY1AEARXoRPETr1vbLemdMW4XsvyfdD3HrvG6c+zesda3VfAqQXfuWQeoFLynBqUTrN/RcAgCCaE4r3TeX/10s/PzDcGFKmbG70BH7xd45NHBfUAKtHAUYot4I2y60jfDiks6Q71UbLB2Ao4+PO85WZfGqWpQcFhGQgKTu9khtJDqhReeU9u7nB5cGkJszBSBsGVjTKeaTJWaNr34PeZz/RQnYcB5PyIAig/pllG9qoo00g33JA69rXnrrB2+LqSy/R7+b4+fOSecLL1TZT6Yp/xIySCnsBY6tsxRi4SH2hsulvHf9j/+2t/Q6EO9P3CCjoACkBC9GDk3QuF3hRPYuOyjVAOpueV9Ybb7B8j6w69vPcZVtx9eh1o7wKdiZQ7OcpCAgFAQEi3YSbjUbJYMP6DQGcfmRl19lc8v0QtP42fDcGpPS7n4+KXupTlby+Wp3xow10HmMbvCQKiCqRf8Ty8+fBcQBipLz6EqnP6onIGKPn+fOp+hE5YQy+bj+xv9YggOQCbsGQTuQBDjykEzHLhv0igPEJWLlRB2PQFHc+NzHTa6BGR0wHu5izpJ3YJ/TRvJKKulfl+8Ahzvg+VyCZXuT5M/uIOeAlmuUfKwPCdHle75PlmKzMfsuF57ECaEX+gaSfKIOX75ImpYMaGZhYnwLACiBUgZ5ZRhCyQS0BMQYzST9kT+BL8LcZ5UPbXfmbr5w0A5KKQyZ8MuFOTkdKACmvx2Xcn75wAe49dy7uyOo1r6qWf/0fLu93uuHumLVLgsnYFMKyIPR9DzRtdh2EzOLhfYR8AGQKYNHy6OfWyBYUekG6kkPqRuYTByJ+00GYdVKp/r0rnwCTmsq1SJOZAv543bz7RWRw4ONgV7ROGTpiEREgYv2A/Wj7Kj9+X71nKk/6lsxIx1ul3YzyLRu3wO+d/oRrw4Q/pra7duECbZ+rAh6Q62y7KOHGp2zOhQsXUjLOnTsXl4n3SXnWNa+kp+N3L4C/8vbsR+1gt1urAb+gg8FW/Cth4ENTfbXcJTEpXvoTvF/kk3dvhAiJwESAO/vDLheewHl5SnvUIseJKb81GSASQJJlmqZupvJYdK0GCAghFFCXAvX/cWPIBYC0ffzuPomY1mtC9BsSK4hYSpQfsZzjn0dlkUsqIrLCycjG2W4J+VZt5dr2qetlBovVoj127hzbOHcOY4f++6v/RFjSXavCVfoEbhLKBNbk2k/880f77aCXWEiK50j15Oj6m9A/Jeam8jzlicb/PSvf8wDCGDcsB+W9z3rdJwDGQWs1ZHYRWbyvZ4Btf0ArPVterEnmi2xO+b4DWx9sezK2kMwqUA0Y01devDccOwcYIH334kX3wJkzBRf5iwtQKe9cugRFOY/8/dUDNRzshgGEWHDiEn+G6ssQeemAQu8Cd4EfDamiQ1PlfT/Lr4cOQqi35m2X1+r9LF1zv1+8NO7WALGGQoPVp7OO854r6z7nJ1laGRW2gnwvBK1Pfv/pjwfRa791jwEBkPRMzgAALuXyP3PmDLh0KZ9OZfT5SeuAjWxqIUWuH0ZSYw5IdqFf/keIOV/JNIwZ1T7lEYYBNJnuhJPtOFhraSnLdveXfACsDkKW5SA17kWdoBaJnSEazYufSfPRed5VE0TflQLLh8QaCi22yNL/T+0rhjlc/wJyat7/8qFjtd798tENBiTMvtED167Bq5HKdx47Jo+6At4caF6DdzrJ/fnmNRarQJxZvD6/f8bM93N/++bBGiCAJNg80aqXDEQun9hT7i5ILJ+oIP6HdQlCz2yjmF3clRT7ilbYHPLJC1shQnULoaLbN4rSxeozzFSIPygFhgoe6WT1kEWwPwYiMqBwWY0mG3SkwSoahELNEj5x+9i2gzkPdWDig1gWqmx1+cABrY9+76mP8jCbzHZ0NAPNtC5ciJb9r16lXef4sWMAXGNirvI/FKBhwHNMvk/rsYockHR0/AVIfSLo4U+9Aw3P2RMDB/FkBYyKWjNR5xIXi3ULx65Sj0MMl6f6hRJFMsmbT74PaoGNCDjJ76rrQrJG08v+Jqe5bA2Qjz0vqFJchevZloVxSJ3Vts1DE9izMFDwafuzJxbLWb9Ieona2uZWF8FG1EQlP9E/mbL9/JCXC0h5gNXP/QPLy9SHBP+XD3ANgA8L8djtHY4tp9nahzFKmsoJU35vtkYAMJHz1DvtA01g75EFm8zepNzGTRxC1mmTnwts7OAQdqTRlnReVm6aAqZjTeTnSUPg/SKfvIcDrZBM5wo17gBExELKC3wkviFkW4mPiC1nRVINSxaimSM1ty80v64NheUxk5hKfkr/Pctr/fIhLIABcduIv6KuGV5PpTeVA3Bg+YwISFxo8izLtxw4MnYoAiBTOQDLznU4EgQxUC07jnQNwGHplZZvXYcjYwF+8r3OwWEf7XFIkKMELj4IQwiZ5eJGI2LSG8lIJ46e7DoJAOyGAWzwUdQBgPIPTPWj+5tZfuACK+whMqFjy9kijLOPmTv/05hUDLCJ/rkFkrQN44ZQaHmOZSWDAisn/jxRnm4aloWRvL5aryjfonSmZ9iM8u26s/Kzr5zIt05MOFN2UBNdQWeIU/tXO/BfuH69nhV4cAgcAteBmcJ0P6/e6TdnDzYR3CvMuOLXIVYNu6ARCSCEXWr50M5OpnWsmJr3DnBAwOd6MQdSCgC2k8hyTq/qbCvJr4UIOX4Y5vUbHOufUUJqkZLEEDKIJOUYu9yaiTCP+IZ0QBSTqeAY3VCK4zgg/fKGAK6GQPCUzR3R+ZV8qRuQ9vMQbP3DkYLTpbxOJNxXfdLz15jfWSq/dAlQQPrOdbY9/tAhAK5fT4Dn0KFDQLiM2R8CQIAnmZ7fEAGM8JHwjDAAADz0rx8cgO3OA8R4caJOIhgytEy8TuCJ1Y/cTfQvCj+Cbzq5F/EWeiWCIbQcO8kCuMXkEz1ZXQ85vhWKlmWJ/pUiJUDFwYlMzbA4NTMyzrK+xHtmL6CedR508VqVfFl/PuiFoPU/nnQ/GKQv9Ft3Z+cYs5D+11u3GqNjY/EHunjrFuTXol0kAxEAEa4AkT7rYVS+p//h7YPDXfxAGIbQthOAUK9jpzOdWjCo4V2JTO3ItVjf9AwmvltVvuVgbIWYWUxFv+EUIWuJet1GdMXMRbawv4daqUEgDg9R6+jMUnXEkUeduFmdyDqWuGpEAIdZyZX84vrHNmj98LFjGwNIx6IpGwGkflFtkHqHX1866HroAdXe0fEMUQBti00XxL+z5Zt6vVgr6t2pKZ/MebPLdyAKCTDZ6gGdBRuYWFq9uuNA6NIBgn8CXLsF2awaWSWfqbKs/j0Htv7pK0++v2oNUYLRThoYGVlIpF5r0o5XqIb3hcboX0In3m9NTrJ6Bw4AEB2gIt8nfNmN4X37Yr6HXlseq8FeBEisF7t87haNxNLALfiOpPfUlQcAEAALLeb70IfIKfFMlXzQcKzQ7aB4Kqf6WUz9i4Zo1LETRoBE6ZJN9/SysBGW14nVBbSYsdIRKvk86UFh/Qc4aP/zN0+/y5uAxBaSnxjOQ655udpUeXTqfbF+DEjfnZho5vUBDjQMeH6130Q4uanjTsPm3r0MaMQTnRQ6Wk/4Hb80ebDhw318VYY4qEXr3rIdbEXOVMmAiQyfOAhOHAYk55HkaAJ2PbKwhOA78jiV/EQvXP8NgMK6BwMTjKgraQS4wprjWLUkbomtbCZDAZ9q5fa1HAJxxZSQxs0fD2aMQSW/D/3buHXx2Pb3Bm0jXn/34SRMiJTNfpiECqkydnses5C+PTk5BCYnhfv7hL/l8uZeFFs4nekkd7G2nLAR+e7bB4DA7tStuwebPmTC6CinMXU0fke2xJwO2EuVUye3YLwrQdpUrrQyU8lXjXwCTE7QDa3QzoxlIoGRYQ072GbBjuynDWMV+tYgNpOuMdUuXslnGjEtCqT1j22n9ebJkdhCWi1gKsJHBiSxRgQaXWcWNnbvTk3durNyeXfWgo3dCVDR+4FQL8I3Us7FkPsn3rs5Nmzb+9hHIJg2ES6gMIDESpI/koTOsm2MQgg5HRmBiQMzrhfQIKToJ5QnRdH9Sn6e/u0gDOu9MKhZcpAlHxhIWhJUdxxsQ8uyklALYnGRzSGs65OIsOgXD0DG+TSwLAcjxOrW6d98r1sStcbKA8ho2f1Kfv/6R9BpXXnm1Dv5AKKGKsmxhulAa/U+l5DwiQHp/LXpYe0D7BVKp1UKoWDvXgBS9wGgxZpyxmkaPPNxZ2yHb1G4UmdaJoXIdIlFQ8sDkgkxXZN8FKw8AR4et8TWYSr5RfVvk834XhiQeCZR08Q6XQZhDVnMqZ31K7LUkMdjkPuVfLm/i7q0arj12pk9ZkBSwxH5UntOg4wEPMCaEZJgavKvWL7bi5za56c5IAkIsheAvWAvmNYhjSicA46Ontyj5TJeEb7k9/il9w7aK539xncRF8BUoFENqsgYiouDaAIolBPryYkQi7KLaCr5Bg1k6B96GDW7vg8jYCKA1LZd18coNz+7PGg4qWX5vHVPNcSDhG2UAahKvqgtWf+Wa7cufmZ3tKO1jFYHpyW7PagP6T/MzGxr4D3x1KwLZyC/Fg2cFLBEFlR3ZgY29rD6okU0AmfgssCXXIt8n3v7vYNwvnuAdhBq2tsYoRCKMziTjzo2eBQ9iE5xNoVLCLgcUoIsFvdE5FXy+9c/7CHU6AW+jWDQBbAWCk7tWPOawWPw7quZ5ZvWuCv5UlNkLS6QKdvFz2zfeEBalQ5SksnJ1z4dczxgtpBK8qvIN04DEMPA8pLgVg72q/VERaZZZEAT5dHBbZV+W0W+5TqtXzx7Mmt1fpU0mmYzEkRTNmIhkdu9hYW4Aes7dhjjkAideD+ptwsAMEcl6e/L5U+8dndsyEMCIBHHM4S28Kzypqv0KhhxbIurcygy303lhLfIk9HxXyW/X/1b2MbIwxgijIiFqzNWVGuXLD4g28HJ4kV2IJ8XBrBG6dVEbowzWQChFnElv2/9Yxu0L33zmbdfPiY1AAAgAElEQVRTcFHUd1SUTgNrIzww8t9/ODdSBvYY7DDgIb/hRQu2RkUAY/d2gV0CVVrC8at3x7b1egfIyEZAQhzRSJkIHvweByssrOQkqyvRlI9Cjg04LbtiU0JVjqm8kl9O/45rI8v3MQwtwdmtblkoGzec3ytNsbKsZiVf1mC+/q2a2/rXz+xIWUhjSlPMC1vNyK3WrVvUmOF0tzg2KHQ7IzrOjtNRHOE+pO9+PL99fn4+FrkzPrpxJ5DLd4KWsLXAs5hFRchbKAEkbzEq38nq1yKwGqa5kpkc8v+TbyyPDXlYCZfkHcmsPBpvxPMbRX0u2STqANXJye6x8ngflGZ7T6Lz7G5eyU/r33Ut5HgYkTNCuP4HdT6rcGTiV7Y8H+b0FGXl3I/vT6ZsHz63J20h9au0EvXmRUDi9RJYAmB4aRHWto+mpm6eUu5Zi7CGEjpyv7WdxyXtpIBFfqScy2ltH8XH37o5TgBJnJ9zPwB1Nue8jEViXwjICaZUgjNJQGSR6QOnruQLzv4S+oeWhZweRg45tEjZTMtXNlV26p5b1dlquq/bq0t4J4ONPNpU8vVfkla/Nmy//7ndV0rgyKqRxoD0nesLowAsaBjvEMrE+6Q865pXy6BbAODQJ0tj23x8MBEiendETxKn4JOvrGt+T5ywkTKFXxDJckweq0p+ukNk6B/ayA19ZPnySbmch+yrA4D4+pKyBECIDyurh+v4FPkiKvmKw9+g/xAHnbePPnTZpNPhffslA6U1OVFo4UDdG8v3zYrlFJAwxvDPKSClfzt2ALCgwynT06r4k0UHADjy8sRYs+2P0SBFzRRKnl7JKK92ZtqRhQAWK84gKW90o07v2OnJgyIr+QPrHwM8ZMMQ+0nm0JwECmkPtik6s2w573eZ03LNVviycvKiSe9D+dgC7beP7jcCUi74cweMuKc1txIjmPdCFof0158u7ugIU7Pm0iLsbE+PdDvADrAgWEbkmvx6S4uwHtUX7zeXoMSHXfOp3QI49PLE2Pa2P0amZ2yqxCZv3IHNY4WoOc7/pzQypRWMGbLaQ0jj8lCIb4oUQ2QlEzpGW8kfUP/QQrUQhdiXM3Rm98W8L7pgT+6brJKfqI4NzsgC7XfOPfhW3yodoOJ8GDIL6T9+uhjPzRYFhqPEbhILlMvYrBoFYFGgE+tJ/JT6R9/+dGyoHTDHPJ+tFZkpDfDSxqqVfKaaPvVPTtKtBVYIEV9lS6bfLBRDXDOVhcjTKV09tdUYjVxPffBKPtdaGf0jK7wHAGmRAZK3vJyaD9ZGRtJO7eVlKJbn1RPvi/XGfnxz3O12pRVF25anZmEom0S2EGERauYE/D7rjgHg1yRtLe3EPHguZJYRtmRLsJLfn/4RBrgWwJAu+0csCERwa5eHXOgSOkRNxb4f0wqEUM6gJxrRUY/kSIl/NrJxJT8ZW8rq36rB9tXPn3pzLcb8PJ7zIWAW0l/eukUXwvwVCN1teqekzGw7AGApLmqsQNjV1pPpEh6s/OE3p8ebHRQBkg0wQpA8EKejLlTdiC2NtgBYZLFZqEfq4ygsAFoWJuYXT2svRyeJFkElfxD9hyFCNYBC0g589UZ1JBMI4QMDHS4EJCG04h42HuBKoUcBKZpBQApoZT3GivyDlfxIH4qOiugfQ9B+59+ffaPDky4aUKSJkkSLIknHYskamzwR44TMgN9X2RL6efLZvvDCC9b0X/7lzuXlPPwCYGQEgC5OLCZ/JW1RiVxItKXIltQX5Tz67vT4cMcft1wb+34SfSumj2AIb9OUEgSc8s7LEIMrCfiEIARWNGqaAi0r+YPrnwCRFXghCC0UA8gqxyUWDQOo5EdfYR/6D3DQufJbh1/PR4PVp+ju24diQKIWUsuC3WGEOYo0rOhakd3gdFG59hol+ZEIEHH+nFUXIfzou4vjjU53nFtBCCGIiUUTMsuIGEzEuqFlwg8iRJLuYAI2BHQIHQUey8LkHifF2KIgxn+Ef2x90VGW8a3kM60MpH+IUY0AEvUhqacsac1cZRMPbQmlp+XxMd3Pqxf3AkVeJR9B0L7yWw9vLCDd+dZ3yW4Q8y9l6qimj3LNOY1sA2B5xch37N2p8XobjWsJYiQROpc2DEaIN5LCmKJy0aQyb5JLP0IlP9JJMf1jHGCr54dAyZNEmPDpGB+wxekYS7LHYpIGKc/qvpV8Nh0uon8LOu23fueh1PG0PLmiLmGjqHsxCSMpN9Hr+C0gRKZs2Lrz3WUBkDiA0P220U9XFt3igEOtIF0dtTzhOvbmzfH6SqAHpGj8ZBiiIpFmICWEBQGH+koUq0vXoROplXz98luCWWRvIZmyke0jeeE3oq7lKLHkjqmcU2RF8VfyM80L6aaqZwSd9qVnxzbEQtq5MyBTNmzd+KuV3a7gFPYhhOK18fUi/PFbenoftqCLh+PplsqXAFJtKXzIRyF0yeoXmab5IeRjMi3L+tFpXQiJEaTSBmSqF6WfcK0aJjI4q5g2cipV8ldB/zU3BJ0ucshu/9RPDxHiNh25iglu8qCmXL1KvhCzFzWA5drtnz99KGUhFYe4/ikZIGFs3bi7srt/Nv3X3P/WzfH6fOdhwsHCsp8o9vdkuB+Iz4jURZD5lETXBSkj92j1EEh+KH5PfPJK/mD6tyFCdQwDkkmy/x6RM/qkfFNrI0nPVVwSWU+5XNb6yPct0Hn9tx++yKWKWazFtzZmplZUY6qv02AQKIAUwFZsRTiCZaNWJnTifbFebFIL9U1891365KHmsv8QBZXIgom3loUAwChdiChfjKsQ68Vyoz/IWBpnoCRLx9wnFLtEiOccACRGdlO6iEElv5T+IYnURjBw/CTXNluYiAYLMi6ovuY+v2t9KEiafyW/vP6xBTs3fvehXyZNwyFFhaCiUJUHSQnfINjLLKSPJif39Nk3aLWg3YbO0FD29EojYP9rdx4aboXUQuI/0mkT/04ILJ5mZJAH1NSNrSth5Y2QVfL71D9EyO1ZoQviGTcNuRB/ZEWUT6PFcjLwFG1eesyMkAtLrieb05X88voPEOzc/OrpX3TnZqhx0tiVpLYm16byou3H66v0RM7yxCSmgHTrk6m9LdASaMRDSORyZygJXAza4s7sYvXFB3n0ytR4s+VTQCKq4501v4OanMxyOeu8pLObndJiToBKPvOz9aN/hAPs9lBY44CkJlvgDW+aghft0WVX+otGAFTyqQZ8DDsffeWRXxjVMavc4c6esuUaAX4YMgvpvU+mqF0VdNrQaSaWTr3Thj3hmvNQy+sQwp7gFFeveT3Cn/xN4I7wHb8yPz603I4PUmHmPQM8SGOQ2E8Xh8TKGNBAiCCJOSK0opkuThHEGCTyTag8Sd1Kfv/6R8AJ3Z4fOjDI9SGRzC9kasytVN7OYhsVwQfCp+ZauJ96lXy9/rHldD748qHXiuh/tWliQLp+ffoB0b7hgsx2EkjZU6b6qt0kXj90ZWp8ZLH3iO7F1GV5slRP4McRluvJtRVNuQi9OBiq5aaQN06nPkMlX3Zy5+kfQITsLiKpGlKAFLvvUj4kVkAsMro+Ztt0lZVkeZDSVJGR209WSdVtunmuqUo+691pH15a/yFA3Y+++tirqw02RfhJgEQrDA+BVqvN/oyuQXStZzgEWoDRU/LhIcDpJSASyrkc8u+Dl26PN+Y7aUAimjPFFNFy4WZId6oBWwxkjHoo2wvHAySTN4CQbKrN8FtU8svr34EItv0Q+OoqW5k5kxTZKnQ5Uzn9zAwpCnj1Sr787WbNmUOAIOh8+IUHBgAkHtKY5NwvAkaExvNG2ZTtwxsz+5yhZuxYDNodKF7nMTTRq+XqNQGk2uzKo3yPGl8VMwYuRrqkI2TUz0R8okVC/7MggkgMJzCsnFbymT4H0j+0EGh5gQhIpB2JylXrNas/5W3e4HVNLiqRdyW/vP6BBbvvP3/453nf/Frc97zIh/ThTHtfMgdLLB5iMckW0hAAgkXEH2poeAi0RUuqYL0Hr049tG2BTdk4mDCDRhz11NGRXfNS1jEZ0iRlYnflsd4Jn6TTJ39V8plS+9Y/xAiu+KFFNoDEDWSnsjXI7bba3VroG/TPSr4aIpGnf2IhaQFJ3VxW1gAqUH90VAQkAECt04YCHEm9RXR2EzpPcHZzZ/VQEwDQYdX4fXJPD2MAjL0+RZzaj6bOKzL1U4N1TmdYytAqZY5UZnnGvZ9FrH+NxVvJB4Acl2a3UWAFybI/STUiWrN58GM66NF8AKTcGGKWCCKrkt+H/m3Yfff3H3slr61Mm19VnCqAQ7GoUb7K9u7MzIOktNbtQqfRoFM3EZgIoIi/oNuFHmZ0tB4U6kWAlCoXGHB+e35556H6nP8oG1BJxjRGZEenwzN8SCNAiBjOO46FqbMVkTqJVUSveb34pPkwjm8idZLHESyoSn7/+rctVOuFAQxgGFIbSbVSWZuJ7ZnYrKaRQOwBnEaNLkpGm8R5XcnvW/+21Z355tmXTYDUW5in305rh5w3jZzBqPuJ5zeS+yY6igHEhUV8SB/fmt0fmzaUKzF1+E9AGFouXpsem5er9PL1njfmxmtzwWOsS4lTMWFSFU3hwjCanMVTOiYj9iVpnQ/iVI7Xj+TEXwOf9FXy2cCQfOD0r4L6d10nrLW9IPAw4itkZD9h/KNL/UzXpjQ9eel7KD8Ba5wI9OJ6kbhKPtN6X/q3YXfiC48bASnvix/kfuBHUzYGSACE3S60IwuJX3MBanmZa86D8Bf5PXjl9rgz3TtMysjSbxzISPaeRSln1ReU6IRgSpFOyjgSARWvZ1JYJX9A/ZOtI10/gCRrJJJDBtiSvkHzAmYhjOiBDRZk9flJVbym8cSqiABZzPKt5A+gfxd0b//Bkz/LBRbxAEdCHB8uG9XMu88FCHQxIH1we+4A6GgsnyazlKhdI94n5cJ1s9mU70fC0uWyhbT33bnxobnuY3QY1m10soWEsyrKCNdkaZ9NE+RfujxnmS3NIJl4VPIT7SjtRfWMMAUkgHw68RWjvXUR8LQsarKY1mbR+vmR4uaofqMs3TNV8mmbSvoHsHfnD4/+NBeQ1oAg4D4kCkgceARBpglaVjmvnjXR4xPCHW9MjdfnV6iFxH9iVB1x/6hRdrFLqOA9Ts8yTJKOjGDCIw1QlfykLcroH5OMkd0wAH5+pLbal/MittX7um+hbLS2yKOSn1hUCKDep789lgtItVH5RGtvMTmVul+s8uPd/nfmDtqNJA4p7Hagjdl1R/AZMYsnEVeDHWEKFtHHBE1A7nsRH1KLXIt891+ZGrcnV46w4MW0hcOLQoBIVm1q9ht9RvyxIjcDuaR8Q+YElVbhaDoStscNIQAr+augf2ghu+0HMIhWHAr3yrylzcKM+iSs5IvzaQRg79bvHv2JWZnqybHi6db9NEHCTwIkPauCTuxGE4BuGWc3k7aTWEizrSPsKi9CIuNl4+8p6Vw4yodEzjkqpqZKPtOTydmTrX8yZat3Qx945S2kYu1TUa2HBpADe7d/+9iP10OWKsMPfrX8TRO0zXUOkptkOV8l4mEAoJvcCUAXOiBZ9ifXqXrRfd09Trv7rTvjjZleBEislOQ7Ej8JaYuHupqr+X6kfEkCvXgaifisuhiXSn6ioaL6J6crOF3ft3qInLxQDthyxwLB7KXxRckJNXJbApakr5Lft/4RJID0RD4gmQwj1YAqgWwxIH10Z56ejRbCLrSF+CITLxJ3pMYhide8nuL7jtlxOQSQmrPtx0X7iBtKYhQL7d66gMSIY0wrboHThgFEdpidcb5F9HFU8plyY6zI0T+zkICP4imbOgUXp4VZS25lLbSsGCaxB1fy82chJBDI7U186/ELZhzhSDQA8hiY+8QRSCykmxML45KvSKiQck4LlhJoMMKizu8maEo+qT0Xp8aH5ruPc3hgxxqpnSj99CwQUlMeDY+MRxJXRPZS8fU6tms9+Vh4FBKrUcnvV/8hCpDrWR7xIWGyfE9Wb6Lle95SvLzEoCmRmviVLa/kmzUAAex98rVjGYDUr/by68UWEgEk+kH2utCrk6kYg6FaD0KbXss/QieW6669ehLJSYCI8+ecyH0CSI253hMid7LKRToY2RqV9woWdDHCvkAnrwsRXhrcymRbye9P/5blhKAV+hYNo9dYR6rJKQwaSYNoTNdkbJHbTTV4JJGV/JSyCuofQ+zd+OqTP8r79tbiPgWk8z/4gT387G+NA9FJFEuLTCB6rZpGWdecAakv0smvsf3K7Fh9pnU0KVUX3fNeW4UcU30dNHFaUyBBESir5HPIxwCGtod8J/SjhVCdrcWP9mQoI8OGSC9Pw5JvSXQ26f9mZxWTXyVf/Hr4rIEdrZqhfwt7n37r+P+X9+WVvr+o1BiNroVyBZBIAt0c3BFxhv+tmcJp8UvzBiOXPh2vT7YpIFGzW1l9Jov9GPs0bghT858u/gt9TRyM2ejKF50tcdUu7ptJJyZ70sn2N/yrgw4q+YPrH1tO6Ha6AQyS+GpNIIfUC8TpMrshZmzgJamxPipIoCcNP/q6ahes5KuaC0FgQe+T33skF5DckRFp5uQvL+fOaPJAbOfwcEgtpMavfekhu16PBYS9HrSFKVfCSEassJekmU3qJwhF7ot8QgihLaS6Hbl0Z7w+3TpKgIdHQFoW/1PXnQs6JmPjR0G4NOIBJq+SP7D+LRjaK63A5juf83pfdf/e1AC0vI++cehfN+ThYkD6zS/Ro4iKWjbph60D0O3JuGV6I45XDQC2X7ozXpvsRFM2RK2k8o5PPrUyxXRnpHimLqekfiV/AP1bKKy1fB9GgCROZuXsCumOoUsXXOSDyDp9uJKf+E9L6Z8C0vEYkLYbGmKpSAOVoCFy7OHtxELCduM3uxSQiGVk4mHXgWBBAahe03qCAcXvU54NAlhpziNv3xlrTLaeFO9ofW95L5bhItKtxhFrIDS4iCr5xaY7UpMgAKALGSB5vuTCkWxU0eg1hGWk4jJNdXSxSxraSr6wxFBE/47lzXz95L+on5wKQEWBykSn+6RjQHI/v8iOIqJTtWTqZsIBlc5UL6989NLEeGNyiQGSZhOZpD8BQMiyv/qj/TtaZItdojyvkkIvgk4MWJX8RKWCHnmhCOw6/UMLhrWu7ztelDGSbtrkK61M43kjdd64o95nFlLiAOcHNvB+U8kvr39sQW/uGyf/B+BIYkKifk2kDCQL2Sobtoc+P3VInHGButD0wkyMlmddKz2GGkbiTE40lHoA7Hp7bowDkjhVQ1H8CunGrJyNczzeJI5zcZLjs7OmeoSfOiCrsTKV/CTMoh/9h9hC9U5A45DY6FJklZJ1GNOpIHnWqh3JSXsbK/n96h/awJ8ggGT4uSNyYjZ/mfmRy5br2FvDYQjPY2xbU1P0bDTXg9CvJQLJNccTSylX6bKuuXDksYcnuEbod12aG6vfXT7G7yfJ/UOAITmgNFk1E/0FnI4vIvORlx7qJmSDpCNklEmSr6ZxWTr/QyUfQW51lNa/BUO3G3i2h1IGFFk4SFnBmmwNeRYS5xMbs4rla/QmVvKL69+y/ck/OPHPeW2xFvdjQKrfmo6PIlINICa4DnqCaaQzlPgDyvWz6+1+c3Ksdrd1XJfmwvTCzEpKRkBi2ST11ZGRexCyR8xKfjrNS2n9WzB0OqHnhGTKplkhlYqiAMhUDiulXBP8aBGrmICZEjhLkrpBzAa8Sn7/+icW0tQ3n/qntQCcPJ4CIC0JZ6NxSKkzU4Zekv+J87iEtQxUKo3AS/M0296+M1a7s3JcvsWUaQneTQRC6Zp2yLhSMkMgdaRBE4V0WZ9M+Wg5Ikf9JNL062+V/P7074Sw3fWhl59+RGwD2ixKu/AWEo+cVOuoibIy1lJTPa+SL6tE1D+0sT/9nWf+0V9ZkRa43G3b5B0big/Jt2T6PPBR7xP+wfw8olM299bSo5awioZ6AMbXepOJ8iN0nHGKvs7uZ/ElgFSfWDkhPZzQs5DQ69IeCcvoqYjtocj0ScdTJ0KsVO8UAUugS3frSr7gKULEQmp5Huh6QgumvUDi2M0To5E9lUmQYrIHUVU5oReT62GUbBvSb7Gt5DMdJlrP0z90sT/xR4f/sSygrAY99IeYD4kAkpahOjczSK3VAfBE4Cr4dNuv3BqvTTALSXVYyyz0AY5iHfI3QXoY5UFi9eV6WTIq+WwqpF8cyNc/wnbotHwPeixSWw8Qho6R573m1QS6rBXsSn7/+scOCCb/+Ol/KPgJAwBWcki3FWYFfRQ5tW/P0JM/6tRXxH8ywti1WmyyOR6EgeDkDgVnNa/N74eeBwnfhGvCd+Ty7Fjz9vyJOH+N1IvT82CIXRwnXotW4ugHFNWTfEEhW3bGKIomJ8nj6awt4kv/iT402tFJdkllW4qiykq+Wf9k2Z9YSKgrpOZXg8Dy9pIYu64at6HYyzHfonSFv5GIsCjfonT3rnxsg2DqW0//97JPuBr0AiAtU0ByYQ9aNRaHFMNGL+09QrAHfZzEK9F60bUIY5nltToeev3OmHNz4aT4MmWidkk2SA5QeQrRrdJRi0A6o40d+yzyyoqdqeQn+ieA5HaCHugyHxL9NPlfkWVD85nzyHiLTchjfZNI1Tg2Q5xks7/JBJ21hQWw2EbxIMLpWOtV8vvTvwVAMKEBpBHlA1s2fHCcLu8+ry7SxYBUn5k5DLy8T3oV7tfIkbYJn/rlO2P1250TZGWedGOMAV0xgzCJCicdi5o5kPkP+Bik+pR05YSfyEvdysY7biV/cP2HECNn2fMsHwVlYmBIi1qRJaW6w03L+GJP5G2XlJWLQarky/q3bDtY+NZjgoXEp1xsatbFw9KA3YAt6kcuW65DEyuIfEgUkAig+j60sZtsEYGJ09B2hXIfQttN4pVCci1smlU30QICRJQ/mT4xRCJyhi9PjTm3lk/yCGuMMIQWZL4MhOkZXclROayc0OKA3YMQYxwQnpYQFQzIkTwxH9qpSR2M42N3SBGRozq/K/n9699yQGBTHxI5l02em1n8VGFlRoOhHGSHo2X7pLPq+XD+qt+Py6nk969/ywbB4p8888NVMD9Ks7CCyIfkTMxKea1VTnm+bdP9vHpDb00erN1YepoCBHFKl4rvTZ6SW06m+lnlPBFcJX8w/WOy23+561kB0Gb5p1Nr6tdj0zzd4QtFLKJofKGNry71Z9Wv5BfTP4IwXP6fTv230miyChU0gCTPqeqgBnqauRwr579kDkbK+U+sJ9MnPqn6WxMHrRsLFJBSPyuCkTiAiFMQfwKLXeE/4o0gy/eSU1uYw8Xl6fV/sxor+Wx4KKh/27EpIGE/cWqrqWUJIGGLBbKKmRV4U3F6Y8R11Fqcnk/lqUWtyTBayVdO3CmifwzDlW+f/vt+8SVosSmcMyxP7Ti/rPvWUGQhNSZWHiep0HilEHjQBmxVLWvrmgO8VHaAIKpHHwp4UL6GkMshfLddvjXmfLr8FAuCjOJPyNQq/qWjj8g0TVQWpwijehBGU7uURk3by3kQZiWfqIzrkamvuP6BjZGz2PVwQHxI7Ef2SlIuykKBqbPzYFgGOFlLcmJbJnTq01byy+uf2FGL336ib0DqF8hIPZLcj8YhEUAahBGrmxFBaWA+dGVizL4x9zTpUpIJn/4O4hGQO7fJyB0bSZQ+KqD+oiRgMx4lRfveAsASRtRK/uD6hwCF1lLPx9SpvTa/ouFKayM9WQTsO3phwAdbj/eHFgiX/vTJ/zrgo/ZVHXKndu3TOZZov5ZMuaTlMDLKYWYxId+DlM7zgOVGZZBbSsmUL6an95Tltehxm5dnDxJAYrv6IaQruCl7nTU/ARa2wmtRBzW3lIipzsrlURNBhz4vT0tCndqRszXpUDZ1jFfyB9c/hHboLHs9Akh8+sTbUpeuRNdji54eIg4moi2lOrkr+UzL5fSP0fJ3zvxdX4gyYCUYYGYh1e6uUEBCwIOWMOUy8Xc8DwZioKQyNeP1VDpezuU0L08cdD+dP6Xdg6FYNKlnIUnWRADLUIYUNyeGuyQPlJ6dVPITjWosVprkTtA/OZfNWQp6ViA4kQbsoGWrr4cFkfVMm0E+JE7tjQakobtzR3VhSKpdQ69FQpNBFZVr6wst2nxj6mDt5sKpuMjQoqLzUu4Qpn36BHUiREnZ1xlrMZX8aEiVtVxE/wjAkAAS4nikCxQzABuV1i+9utTGH71fflmDFBu12S9vSfA+lW8BjOb/6NjfGo2RoaGCR9PrOQTtNnN6a/jEFhIBJKpr34eBEG/kQB9yALJcF3P8QdCHgRCv5EAIAyEOSb0W6/HHJPWbV6YOutcXnqFlwrIZIpG51BcUxA5uZo4rAERXzfgUTuPMTq33mxaKK/kD69+2AmvB6yGyH0k5ILKopWM6YLKqX0wDq6E/y8Jo4TvP/pdiEleZKkQhPPejHznjTz4tnI22ykIy2LmXZw84n8yeZiSmoU5kYLKIij6zrn7eUFfJTzSQqf/QWvF62ANr5tQu2soVXf8asCwLLXzn9L0CSC7J5Si8jXqtvmhReh0dAO7luwIg9a/EqubGa4BM2WgcEl/2z12KknYy57yAiVYoN0d1GHhX8tXDNOlMFEK0+Bdn/98N6VHcQjr45NNPWiDZGkKmbmSKlvdQhE6lEeupfOhBR0K8k/PGrYPOjcXT6kxMK7eMIaNjwPeQcEtMdVrnGWiV/ExDljhDwVLbA0IcEu3gkfUrq1ejzKIrFFHbZvOVbTpifVfyVUtfmZVw/SOM5//kqf8MhiP6Vh4K5Nw38dGVByGbsh188lnhKCLVa23yYisP4gt0rujtNtC5NeC+eeug9fFiNGUDNP11sldc7bSyl5Bvj6JqjXaVswmFznPKnoHxF7ySSpqfSn7/+ocWIhZSzwpQvHWE7u4Xml+3cKnz6qXHBhaFz6f1prGDbEsRJ5WV/PL6Jzqc/4uT/8+AMOMdWWUAACAASURBVNRf9TACpP2Hn44T7Zs48Zgj2i18D6rXtF4Un0Q/fh6jJMQtqbzrV6cOwI8Wz0jlutWJZKgVRmmS95QF9DFnHol2jDhFPRY6JOk/cYxHN6jjnHdZA3BV8uVmUleVYlyQ9U/zIdE4JJ/6kLIW1Ez383oxbz0aU6b5keA03eNy0rxIjko+08Dc//yZl9K6aCtFQwZ1FaXTVA8xsZCws/9YiwJSmala1tQs7gCGqR+X4755+6D90ZwMSKSybpVGs1cp9UqkXhG6vJ5XyU9P1/P0SgGp24O9IHZqlwWA1KJoXjtlpKOJcTPiYbabEyGVfABsCLEOkPgMi2vLNJPLm+ll8uGAtO/YwvGUL5tLzvJxE1+1jo6X6X3Z7K4PQP3qnQPWx4tn6XXe0Kba/nlDMOFJLSghHICnIRGHzOyZIaNUe6qp52rmH1tGPknQttTrwp64daSfT7wACkUk+dzzKYpLS1Pmc8+nuBfle9/9tR+YnksFojwXUZn3gxIgaSwk0Wmd6ayG1KaJR1WTpaXyc968c8DlgFTmyVVaErQkbv8fhFc/dSv5AKMQuUtBF3KndurwEXUZjCtaWe0SB4isKA06UIhLeRH/uL66zFfJ13fttP47BJBi5DFNwQzlMUIVnboldG69EdAp24HjCydiQ0jjw9Yu7nuJ6eTW3MTAUnzbqq87keOD5nvz++33Zp9lZxNFKyGKnZ8YQvyUEUbA8IeNQBQPRKsn+lvGCU4XUUb/sMW3Sv7A+ocwdJeDLuh6uQv+vKlMe9f6GRP6qVPJV9I1R9Py7l999j/1o89B67iNoQCew9jZO71AjyJyAQEWAWhS12mR8owugS5TOePA5nrOlbv7wfvTv0b+JlMbdUCEJJUX3VhL/sLxig11XmqmR2QtBochdXhinoaE+rq5BcUAjDpFLYvyJVZiJX8V9G/D0Fns9kDPC8noIH3syvRazQypZoCEJPFwygLK2K6hWYio5AtgU1L/3l9vDCBBGoeEsfPgnYWTpimZ6kISIal0HJLg5CZ8G2/ePgA/WnjWInlzxJw5CEG2IGZWKtWxkKBfxicLM6Mn4susKdrJdXwr+YPrH1gwtJa6XdATTh2JOotpmZ73pSIOZ93oqxmTtIN0JT/bdlH13/7O038zqLXTT323RqZsBJCm2ycLzblSaURYvBGGPk1vHT8EiUMS52pCJkkxrYlzbfqA8/7ss0mHSWwkk89aLifTOBSlI2HO66zOne+LruTzyW9p/dtWYC92e9hLVtlMgGMCkmyASdqmaP1KPtOAKZJF1Q/Xa/evBwCkjgJFzeLQ5DYiQNo3sfhUXjXosMhtHCTR2aky1wXAZzaVeE+dCnJZ8PLUfvfDmV/jp8eajlTm9Py+tPuc5mVjKWwl6y2a05Hy1G51JEfuVvKZ7gbSv2OF1kK3iz22ysZ8c7KJlGepFPl4StFU8lkDyG7TzE+dqGz5z5/6T3aDGxg83qi8k5oJMsUr8ccQnNoxIM20KSAVjUOyfR+GwlYTG/gwFLeaRPO8VDnvn9HUzb1yd7/1zvRnuNZY4jV1137Uq2K8QQCHjI5bPHE9yQmlZgFIPgdZTtJrK/kD6J/s9l/yulaXABLzayMlnkv0HbE1r7T/W7NuJp7eGfWgKN1wdJWsn8n5Yyr5qtM68s3FGtXrv/0fTv2N3Wjmbh3LM2LK3ncbKJqyTcycEgEmDi9KDB7KWzCAJFmmLbgqvXpduza133p/NgIkgWVe+IbuPsebYnONbF1V8kvPfSEGIVjyOjCykICQOobijsMyeErlCGJg2+TMK5hKa+hEA5MYlU3po6Yj5dLgxfcB8VMpk9Q1lfxy+g/+9PTfhDsaRQzaspiTSQ/RCnNqH5hZpCd/EAuJWjqChcM5ZMYhKRHZMR8+gmk24RI5tbcm9lvvLySAhBGkoxrZlUCOzRF/4mjLo4bVyGzlmvBS053GLA3R2JX8/vQPLSfA8+0ubDOndno7a2KJpn1A2V4OORJEpGVSkpLkr0q+sswjzJ/z9B/+2enve/GUrSzmmKZ4+Xyc2Kk9s3gqcWoL62rEpOG/VMS2Qife53Wo6cRvuGy1P6bzgf3e/IPwnenPxTMtqik2kEKbjJCsg5H/hwSEyHKyHZmhkY+IhAMAntNf7rmMDzkFl63YSXy4HGDBJNlAJb9//UMYWrPdLha2jvBuoE7D+V60eO9Z1G6QtqX5J07TaU8x7GlTOVTyZTdInv79Pzvz/XBHU28h5TituQ9bJQNKQTMi7AjlTu1XG09fwNh5lwAS/RXNb2TqNHn5k0SkAqD29t0HwTt3P6dbZcvqmPIYKVJKTqQMFnz3uDqWF6tfyU9UG7cdBSSvi3tegQRtZdd98kfXchSVfFlfMvYQQKqZACmqOMBimrGpamHkQzp4d+mZkM/x6TQ/gFC45hzUcjsIoNr7xHrkvshXvYaX7+y335v5LERRAKQFMT1COzrqWn1y9ahrHXzwo7gpD4Ev+ZvzpeoXfE6V/FXQv2WFYLbThT2227/63b8aQH9y4m/g9nrhiPtB3lR0nlNAIhbSB3fbzyS9KPnLcR0QSP3LIcf/peTbAJCjiGKvvAMcEEh0+nq1a7MPonemPpd+ocgzQKZpZMpFfsJZaxRNYh8Q2TFL/U3RXE8Z/ZJd6pgGR4r1jJqs5NOJchn9WzAkPiSrG+om74P02aruOmtgPQFJfDW3FjJAev/uUpwkjROoLqPQZaskyA8gn5hZUZnt8xUNeesIuc/pdTq1rkw9iN+b/pxuSUfjDopYmJz/aTNcv1ims6vSS3OV/KTFlAgv7eeBIURgodvBnSQwUgkNy9j/zLStxpKl42dYi6p8+QOp24kq+XJTmfefy/rHf372+3A0tTtaaXdTxGPKe1QYTt2wzgGpQwGJnCZiRQGQUjoShSWlE04dUa/jDqLQSeWOi62rdx9Eb03+esze7JyRngBDBFMn3WpwKkXHuZjkVPITPWcs+ur0TxNRLXY7sIt9jjwpFjiJg2GCollBZLUqcYzpjszrK8epx83KESj68ir5igoL6h//BQGk9ZmySRYSn7K9Mzl3FoIoTqQwnvVBqMzcrGsTD+KrswkgSSwTJ09eWFDhJynms1YsMZ5loLAUM+Fmlk9yas+1u4BO2UxHJrJyNXI+D4gSelNKkXLllXwExc3Hqv7xt49/335gdN19ga4ISPwrEoEJAyG4LOd7VOvl8SH38bWJB8HbM8+p32netfgoujhIau0VSKMqGkzqFC3rupKfaIDrHwOI4EKvLU7ZVgHCKxYboIHw3z31fXuPu+6A5PgogN+9eNFtjR05o3NqA5eYNABQw0ZwbqtOa73zGwDHFeuRWqJLPADg2tw+6+3p51g+7Iw5Am8UhUTdw4binNlRiiMhbxJb6E+gTlhkY+WV/Pyun6F/MmUD816HWUi6H910KCBZBGW6PDK66rpRio88RUYIIrySX0j/4Z+d/b49UltlQDIFCiTlMSAtPnKE5rV2gAsCwXmUvk73lEDofg4NpGQFcrm+i+Jpr4l+duPXQMfbo8Mc0ZQ0WkLCJlpRCu/nsmNThiHDZxMXV/KZKrKmzGwQICe62CGYbXdxD/lJDV5T/VfVfN79PKw0yanky4daZM0bOOJbAP3ps/+3vXe1ASmvDQFwEGYW0vL44yyvtTiARXFIIkwyeyn5oSA9pbOE+CVy33Qtwe8vbo/jj2dPwhAnW4Mj7GBr+UyRZG0/jrpV82MLz0UTuglRvNI15YuSGAXbxiT9W0pdlXyqkuL6hwjPt9qgm04/klpei0eJskCkAxgxpswwbBmX3yr5ImBBC7bRwzsu2d888XHY7Wqj5u1GQ9p0q9Ll3Ve/M5FeAKRjAiCpEJR1zdhjukMj+cajSV4+JNJJHPsF3a4NX739OJhaeULYQpnLg2gndlLS8CRSIOyDi1ZwWMxC4liC6ikamGxJIScmldvkXMln+rcgDNFcuwM5IOU58TTYoU7as/yDYmCrlq6Sn30Wlag0Cwd499BV8JUnroCR2roEROo+bDsMmYW0NP74s3lfPndSk2ht7gziUdmJ81vwEnEco5ijD4zUypxpN/Gl2yfxXOcholG+SRJCO0YKjMMoTQnxDMnu55BaO+SMXGH/DrQAtYLihCXJ1kt1nxMEpD4xv9jTVfKZfvP0jy2I8Gy7jQULCZJgVsH3o254TY2WdPBIJsp0/yKVzVeAo2eJBxMZikgLizwr+fn6t0aHPgmeO3TRObmdpfXPd/UwFRcNQyqRoC0CJOwujXcoICEQQKvA8r9KZ6o3SDl6f3o3emf6adD2drEvIg8yC9zn3VXgpV1yJnScRlOngCQ9yWaWTwIj51ptKARGFlimKKxKnRUkegR1BlEl36xeq2nPWSf3v4aef3SycCP0RdhVajWMXOyQ+pCwO79//jO6vWt9ye+jUtbeOfz6xMPw08UT2EfKm5iiV/KiWtL39YnZ+ItEJ+IaV4NMEw3T57A55RMLCc6220iM1Bb6QvYMSt9myRZopktycANvK+b3Y/YxK2bJ5UTfoQhilXyexRN24diO18M/eOJ9u1Ev55/o49suU0UCJFrRJadPJAGSGCZO61S5srdEvS9dc+e3kM3EdF8nH7dCB//i9lFwt3WEHD5CU47IMzVmRFH3dOKgptfcYZ01xJLK0X1+sKPIhzKP5PETUCr5QlejusMIzHbaxIeENI44FRx0HbUIjTBMxM2S1IsOcqjkp4DGInFiuxvvgC8+8ma4f1v89aqgFHZ7heYiefXy7vN2FOkSQHpoWcjaqFlXoy6gPGe3potJ9dQ1OsnJJFQ2y0dT3WHwy4mnwFLvoORDN83nqP/CNOfKK6cQx55L4sPLxTY3tOHWkh8DkoDfsfp4A4vTrIQuKc2zb3WAJPY8XX0d0Ml0m1z+kHMLPnfotfD4rqVEV3zCUXxKVcbaSdOa5CTlzIeEsTs/HQGS6nt2HBmIVEwhUiX80Di1CU2qnlAgAl1R+e/O7Q2v3H0GdsJR3qlpBxMcqNpy4uiOTH05VkZWn8m8l45vECy0mH4Ly4cWRGC624ZdL8j13USz4BikNLNeqkrBKuXIRttZiXEkVnAZ64rGwQpNrj/jbxPIr9sL9hN7XkNfPXpbBQjVk5MPF4xDDGOK87uhOK9VfkXkMwsJY3dpevmzWXmNODPV10NX3JRfmXxIvGpeXiWdfBxAiF7++DF4a/E4DnA9eQxMfQ3Mx8CykrBrFhEQeSPoKhwDErICh+iBlLLVlawskdUhumIT/fg+ILLal/a2b035zIe00oY0MDL6RYCSrK6p82beAukBQQ6rlu9z31KCYxEfHXspne4WkQ+hZ4+NvoG/evQdd7SeOz7oLB8UxSFZStyRjna1ynwOSHPT3c8mTJP+pEZqpzNKsloWAQcnOZetaD1Gp/5Kyl/2auGrt49b0yuPhRHoxKZSjECK6RKLTLaMxJHd0uNE9VQ+Ijt6Ci71uMZBBVtRPoZWCKdX2qgrZoyMAKDoPExyzNGelbRGnklDKQ0LDFtEPknXDHc03oPPP/K6+8iOPCNltXBk1fiEbt2nFtLMxApNkkZmaPynzqRQFIFNoq/5TI5HYVvcUqIMGMSQ+uQ+p9fxVcOTBpGPJha349cnn0Yrnf1EFrViBIcFCd7TaY74yOmhAurgqYzyIobxQMz0OWYQMKtp68mHAKKAWkhxEvViHVWzOKGtKNKZcm+njtAq8AibRL69rXYHnz74Wu3s/rkCbz04iWn1fgAYjAFpYbpLAQmHAYR2fhoSlc5Ub7XKVe1lyQ+u3t2Pr02fAp43kq/1Mp4Hk2u07LK/+FSbRz6dsk132jgFSCb95LfO6lBsbvnYhivuE7tfc75x4rpeX2vltC7KtygdAGG9wSykubsLzxWOQzJtbsva9GZaUIs0aIpD0iq4gHyyBwS/+snj6NbyMRwiN17+N1lBiiA1nkU7GyCFGTNBkeVWkE+ipPFMpwV7ybZqrR6JYopieMH2MgHXZpaPAfThvublxh+fugxH1j+Z2uoMFjIXCZD4LRGYdE5rSpdaDSOuXSF+CQRQus5xfotyVlM+mmk38KXbJ9BM51G2uib/orAl5fy3yBdGs+sZ19sYI3XOFq3i8dPCyAdBmRuO69lM8qEFUDjVbtE4JKIX4dw7Nh22mDrjqTNfQuObByP0ofdZfURzeif9ivKJjsNi9wOWIz3imRyJvonlE1WOuB85//ahX7jHx9h2D5J7syfHD9l1fdBjHh2/n1dfvZ/Ht8hzenS3P1llm1l5Liv5iX4nmnAYAE3qn/5l72BLzKa8nW6Dyg8+nt8BLk+eAm3vgWR05se1RXiUWosQ4ozot8Lp1HKa+zc2olK+qGiJmn+Tm1U+3cs22Wrjji4fEqI+OjElDEIFzctUt+pnCrY55MOmMwVP7n+19vzBqUQtwgJzptnSU+7yeqZyE7Oy9JxPvvzQrUVTtpmV55jlI8cdOY4DAk02CUrG5QhIROhFpzYnoXwEyGKp2thP4r/G8vGlu2PhezOnsI+HKcTEWw3IZly+eTcJciGbEehGXbKCFlk5JHZA3JArxMoIlhbb3EsNBWoksY+P1+Nn3G8u+RYGMystIABSDB26hWduEAkxRCTMPu4YhiV8KYCIWqlRfj3N97NZ5GMLdsCh0V80v/n0B5mYc5/fDF3MAGlhZuXfqK4ZvoKWFZ8dr64JiuCrcaSI3FevdXwJ3XrJRz1oha9ePxreWjrKQzZ5KpLUBE1IXSLO6+K9t7qVO2jROR+bqgnHLikpUaQ47+je/SyfrLKFM+0W7gip+TCiWf3pSmbBH2kLHudlsoX4iqm8tV8j4z6XDyAIrb0jV+pff+JNJGz3KKjK+47MC9tsyrYw0/03ydMn0IBDYjioeY7SppGeLi+Pki7sm9pM8aOspXw8vTLk/+LuU3i+87B0aqTgcU1tutW5lBA70llMHKftCUIIQnJfDZCRpzH3k3xg2QhRCym97E9CRbO+DkjCTrm1IxJyK0qtz91PvF6O8/t+lA9H6tedL4y/ah3ft3zfIUufD+w6IbOQ5idXfoPyEDFCcQrxcACy5G5Mb6RuNeEPZixXt54Ib7JO8oP353YHb0ychr1wF7VslLQj6tAuflnilEvNhpWZtYQCWzoA5n6WT3fiT3ZXcKcbsGkVQ4lUTCJdCBDvRG2uzzmc7BNR6phmdGyh4f6VDxvOnHtszyvW7xy+k/Vdq54j1UPD65o8RX1iRlxtLeQngDTbpYCEgxBCJ0mEZnpolc4OQhhq6pn4lS1Xn2O15RN+wcVbh8KP55+CAUtzwgEFR1tGMv3aynwuNqQkP3gCQPxT1a7hRUnG7jv5JP3dVGsFdMhuf/YjkcNi27HMC0U2k2cNA0nrqMn12J62JBHE/SQf2lbXeXj0YuOPn7xm1xs4z3Xc6ynxPRFC1OPdZkzzKl29bs5HJLbVRshHIYp8SFOLn0dC2hGTpZQydEwWVVSuJgmwYACRJvDSCgN4L8jHnZ4TvHr7GLq79ARJc0Ic2cwXRFahE4crSSBAovRFK4j+zZ1HUcQwTYbCpxV0Wsc/VJYWRaovXFhR/ftKPsQYTbVX2KkjYoY7UTE6VxLbb8j3HeYDVhZYmfiI5erwtsHysYXsvc1rzu8+frH52C6ToTOoQXNf1I8BaXZq8fPkickxfiJgEKDQJdgldGK5bTvE8xL3FAsEEIlxSWSaJ/xUOXQaeA/JD++sbAt/efMUXuiOmxaIpAkXzShOjlMl5lTiL+FgpPowmIWUHL/K79MwGw5g9BPF0aZfuT+pC+bWPSEf4HC6tQw64l42/tymJf71+k7uTflwuHbT/syBn2/7/JFV2+4R9lhyfmJlrZd2RTmDyE8spNkWBSTyk4Am441MdGp51jVnz885vdfk43cnH/Demj4Nu8EONaUtBSSeLkloenHHHFn3iYErXvxXkgpE5VQXIr160KXi27oH5eNgiji1A1+NxNZNraj6lL1nPCkeT5LH+wdPspdaOFBGizipnlJ+r8kHjrVkH3vglaHfO34DgOJbK5g+ytJzLZZNMGL6+NdOPgqiOKQFDkip/EdKPiT1GYvS6+g4L2kXr5p/aePlE+ut98qtx/DH8ydRGNZlJ20y8iZ+IflrUMsTV68u5b3KL2+Xxb0lP5hcWZGW/XXmpdCHeBKjGM/j1TOGxrRc4EExOTl/Id8AuMfkQ9vynIOjr9e+deKyU+svLUj+S9+/FCiIfEjzc61z6mvoNtnqNrVm1UvTq2EErDafsom87jX54UK75r9y6wSaWD4iHI1BH5l7IZLnZ+5qtdxEl9+F9Px4vXtFPppqLaO2bsqmR4YkrxS3K1NrcvmqkShM6/8bK5841+3djXdrXz7xWu3IDvVcj5LvuHnJEUI+PH/1ag08+Fg8ZVNSQBZ6exYAaYpXUlnk7LSVU1Dec/LRjbnt3qXbp8NFj6Y5iQZtelxS8oElS0lp74U2IEmYvpCkluoHqlk+FzTDZGysfLK51p9cWoHarSOFmnFTEllNZ8I+e+CV5rmHpzflC67iS4XEQiKAhPc8HFlIebvKmHQbOCDU7F6zHQeEmq0mpvL0u9w/8r1rE/t7V+6eBl64PbZUyFCY5KmLXy9twZhasTglcYozLsKhBhssH00uL+N2FKkdGysKJGuMlRiidQZOOlxLUZ5iVaXwfoPk1+wV+/Cenw+ff+LDVfxmNzWrBJAefIwCkrgVRNzyoa6q6baEiPSx5aBsHRHL+d/q1hJd+b0qH/YCy3v1xuPB9bkTGEFXO0ejmEH+ZwAbwVkdU+hIhXVKjJLtFVIP1c0R11F+MN1ahhyQYvdPEm0lHlFENaI4tfMmbCnnNn15RNMQ634Mm9ZXPrZAaO0feX3494+9ae1003vO64bNsD1lxZ/TGfek9hkKeQ/Lp5tr6ZRt79gXEE4CIu2M+KJQULFIJ5Xz3uEAIJZbMITQjuQIfDAM4f0s359eafi/uHsymFp5LD6iO/bAip5a5bMRYo+4YRVHioukSlgPoTXSxeYaHWLo6UT0p4tHXGX5wd2VZdwVcmpv6vE8/XLWaOPDoS8/9op7Yv/KFnv1VXndEOEEkOJ+zAGDOptZOtbcn22T/h4vlqh70HR8YmBS5JjKM5/hHpHvfzy3s/f65Gm81N1nfF5uFRhyJOXqWrIqSPQXlI6rLlx/DeQH060l3CJObTUwMuOpeD4jIa9R7juIBNp66ysf1q2Z2tmDPx368hMTpZ69IpY0EAESroEHW1+odLN6Gui9fnfcf2f6GdALaZoT+hNnFSa/iFQe4bs2FbjwweXNc9ZRfjC1wnxIqp9I2rcnPJB6/hDfg5a5XM/3qvE5oaBYky7WSD6Gdsc9vOvV4T955p383pOfD4jxyMtvlLepw/Qk9778kGwdOX9VAKSicUWZe0u4QqRESebFu77ikAxzSnOipnWXH3o9u/ezT4+im0vHMUIs7SEmyZRUNMq6TncuOT4ycdgqcZNxRal8jeX7ZMom+JBST68GLEZALYUUkxxSvFxHHx2pTXnzE1/y0YBRrJJ8YIPQfmDb5eYfPvVLZ++weIZz0Sep6DQaCEM6ZcM1vL/3b+UYbQDEqROvS6ZeeVMq9b58Tfoai902lXNZm0U+mvManZ/dOIVmWo8kbaAzkVgZc9xa9Lx6NYOAnCZF/sL0Dl/VNONPsDbyw8nWEmr7WclHpW4Ypx2hqaOi46QMn6pEq6QjybqX9eX3I98art1wvnDoZ8NnHl4ohCp5iRn79E0Xkk2I7iP5CiClX7Hf3f+FlZVDuJnke+9P7+69PnEGt7w98mubbBslwZvyKUuHWoqJ4LLotPpePfnBxNIy7goJ2ijC6o+fKttHCgdEqMngVkt+3Z2rndj70+bXj97MenarVpMNPs8r5octqxAD/f0sHzuuRy0ktLf9RfZ+pl1l6turC/HRfccWpkbCLjZaXmibriBIR89v35/ySUR69+LdQ/77M6dggJPDhzO6bPbuB2XJu8weUvGzWSX5wd2VJdzqMgvJlFw8bmH5YenivBS7FBFKfqaIQF3ll5QUXayWfAt2nbGRX27/dyeuoG21nM0oq4QqW5QNAySMa2i+RwFJXA3TTZm4nnRTtyJTLFN9sZz/vZnlo5WO2/nZrWPhnaUnSbwDeWckpw4SuiRDCysGDQxI+hPdzyIpUhDPEBCfJB6R6iuxDS6rIx9NtpaYD4nlJY+/XnJAMMcXKWoo/X3r/f1mBEof1hkB3aDyIcTW7ubVkW+cfNV+aFRz/KFngI1aVJ53X62u0nM+JnTK4593/96TXyeAdObiRffQQ0d+C0MnGSeztt8X2eZvMGQwEHxQAh9aDoTEcFtEvn+3Ney9duN0ONd5iKqM5i/TAEe0qBZPW9TrGNFjOKeeYUaP41X4ZNoT/ZVKWzSYfDS5shi0iA8p2VIsd/v0MhgLW8wr51z4AVP8Wq6XgNlg8q1t9VtDn3/4J+7nH5ndosbKhrx23a2z+e2X7t4d3uY0j2EM9+U5m9mTpjIipRKXiLm4E8srQRr9/Xxn92aU37t6d5//5tQZ1PF3svcT51BZSc2IE5z4aIgTXDCxUokZDXE5tJjtneP78AaRH95dXsKtIEjSqESJ9yHiG/tTHT0VISBSSK9uYQBlf5RqKcZWZJzGpZx86FpLzRN7fzb6J6fi7R4muyXP/ihq7+TRbSX5dafekbwHX1ta2uOE7nGAkXQMtdZjI1g4tq2u0XHYsEEoZFiS+PD6dhre1F67FeQT0G7//M5j3kezTwMvLJZnVFGUDDuJs5qWR9MmCgARCsT0ZXxPGWNnONFZRK2e3vmX5KNjHKJknEKeOrncKAcpqalMO/wVBlnyIfSt8dGLo3984o3ajuEs5yUAIA9C9A8e1OU5udNjr2EqN6t588m3ugBb9frsS9vBfNqdiTH82uTioVqzfl1ZIwAAHaZJREFU8TiEwGVbP0gbJdaNDBBJ+9mCU5uVsv+T8kJbTuhWkwSpyNaUrSbfX/Tc7k8/PunfXnkC0sAlAiAsFyW1nbTuFBIhIDYlO5WR1uLlknMmB4Go6SFkjisoH020F8NlAyBlANmG3SKH5u1svLf9K0debjz5YHwK7IY9zxYUHIJwaW7P0PQFyE5CM66vnMHYfWjFewIi/DCGUaxaEEIkJPO3Ar61JIEo+T6Q0pJYQRKHpNKpuSphlM5EHK6IvK0iP5hYHmm/fOMMmu8epH6WqKU4rmTZBcl2UtbD1esI4wCJwyFZFhNeCiXZphI5yYvID+4sL2LqQ+I/RGIX6eEs6Ziq9Ncnbr6VN97y50r+jdjm8DXLh0PW5NBzD/142/OP392COLDxrzxc7ww3wdT/CaG0YJAbI/F703jEtoITFgyV+JnkndRVt9V626J8i9KVfa6ifIvS9SO/+/bU/t7lu2dRh6U5oQ1G/8ec1aqHKbKjBFGMIkUXtTz98MXUufyEXulhEwdVlnx0d2UBrXhhsr6WfR6bqo9Mf5JALNIRUGWIys/qFq0/jXzXWak9vuflHd8+8W7Z9tDRq3E/qXda4zik+02+hXAAnHD6pV27FnX6zAUkXunLUysP1iz7uIXRsN6pHZ3rFo+PahzSoM2fl61788on1kD7xx894X009xRE2BU1yYCGLakljRmdOBDfoqtqfH1fBid21ncMWmoWgQTIIkkKsonygztLi6hFAIn9YqtK3RvC7iodIsv209l4mqBLJShSlA8tELoHhl/f/scnf+nsHaq2ewz6OZasj2o15LT8+Zf+9/9tFrzwgjGeqzAgUfkvYOub/3HpscCpH7HZcZGsa4UhREKWAF5ushxM8U79xkFtFfl4qVtv/fjG0/7E0hFxui0CSsl+wuFMXKJTWOR3EU7h310mFpKQLFzX7zSbYYnEoiGHsQGkVBCDKuNb7A97tPFh8ytHf7Lt6T1L+ZtXi2owb88H59PvZti857h/5FvAWd65uzn1f0CYOxDk9zaNXn4X4/rQQvsYCsOHAFliIz/N2gRdfRPKLSAAl1q+BnFIm1V+7+P5nd6l22eCpd6DxnjKyAYhJ8qS5mGHKCbfPffRZJXnfRJqzrlwoj2PVrpFoSXGoDio2jRny+KY4Z+HTWem8exDF0a/8sSt+F3y4g3zXrroOrwpPnILybcQ6nVHG5N/D2E7T638fl+AxCt/Yx7vwLh70oFodyggjw1sgGw5P5L4QOxctvR9tdwKgXAunLCaR7ZbCwwZ8Mj3t4L89qWJ8eCd6dOoF2yLvUQUfgSbKXH6MI1J0yddhGVCEJ8CS2d86b0mtHbcgzAIJ1oLgWaVzZQVpFAnJT4tIQeUONEz4RS0YLf++O5Xdvz501fyfCyFnqEiKqcBjMMu7s78cMeO+XIV848JLcTvD2bbY9CxjgMUNmVPjwNCvt6vxhspcUhckGhRkQMok5+8iTxNx+5vNfkwhFbrp9ef9D6ZPwHCUPIvMT8NoltNpKgAFklAf2p5DFgUaDSff5xgjgeAs+wERE4wsbwQLPtanLCiEHQOa+RwTHG3PW9n9VBN8SkIY7WOSA8tGNb3bXtr6A9PvlofH5XmNFZNhmLkRSvHhnJTxzfxyftQtoJ8kp+01qjNPzEMpl+A2jNO89RU6KD1XCaE4DzGNlr2jgCAj4AQ2pkHTpbZGpITppYcNuCw2WNEv9Xkh3O9ZudnN54JJlqPko+Un4CrDQ8wmRnq9KdAwCR3GJHtH8GdxYVgSQ9IUicyb01juSZNJpUp1gEB4I42rm/7wuEfN54bX7VTYAt1/IqIasCxwtbKbHPyH47AgY4DH2jKpmuLr925M+QOjx6H0DmYTmWblQ9J5iZuLYlHz1A+143wV59B3pKiozflY9oc8rvvz+7uXLx5Fq14e9f7W/FvLTKntu5nWkTT76Yt/Oiw5s4Pn37gxyPfPPVx4UoV4appoOZgD3n1yZcegKuSR3zVAYm/6e/fWtoNh5tPAYB29Pv2KqAZzegQQNFn1K88td79Kp+sVnZ+OXGoe+3uaeyhoWQ6RJ0+2uCgyPMd+2tIyKR4UkrKg8SiHWloJeUPIfZvL8SAlMKfrBzeyukjWt+2VB8DYNu9+iM7X931p0+9AXbmbfcAAOXEA+X5mtT6efRqX9ps8msuDgMwMvNfRsCc6OMb9NtbM0DiD/aN+c4hC8PjGMG8ZMEl3yU9KVNX1ThDU3lJgQr5vS8/aHlO++Ubx4Ob88cwYnt/yKqavJGWQ03RrkA247I4aeLQZr5uVjeYWJoPljryllhFa9qo8TINAQGu7Rl5e/vXj748/OTO1OpN3k4v06bYMo9AaE2LZZtdvoVrOMTB4tLbQ1MXnmfbPVbzV7QXDiTzHMbO6HzrSQe6j5EU7RZKTjNBVpJ2xFSuCid0aj3xmtOrdGI5/3sryPcnFra1X7l12p9pPUzem7hi+DYNHhZAYSUCGvJ31ko723CS5Enh1+Ht5YVwuRdXJQ5oISgp2lFbcDOspsdZw7Vbo+ce+9HIFx6dKtohPWUzbM0IJUU5lqPbTPJtC7XDlZnJl8bH1+w48HUBJN6E56fwNmx3nsI22C8uh5FjxsiBPqJFw/+WV9NsaXmfZ0Ex5I+kTm45DkrwKUn5mLaG/O61qX29NyfOhi1vV6JtNjNjlk4Udy30CnGmlFhEUVPRcIBkYhfeWZ4PlyMfkilas58e58Dl4acP/Hj3n516z7jZvmx8UDlcSajLyskzmco+xwbIRy72rXZ7yrTdo+wrZNH30z0Glv/7y8sPYM89BWyW5oTEG8UWixDxTSKwCwnTIFLiU7JpJLnKh0WWM1TaavJXXr15uPvO9Cnshw0SSEQtHK4gxfIppP+IKLizMheudHHqdCO+zUxgpmaY1Z6IZFt+/eEdv9jx7Wd/Wd+rOQW2zMNVtKU1gDBAFqzNvrQNzKymn+ieAyT6QBjD89O9x0IXHAMQ1kwZlZKHV3w2sumkDxXPSiQnxEGZMzJlxCfc5/LRku8u/eSTp/zby0dJmhN+wK2us5i3psQZlWg1/9bSfLjSU/fxsixwqZ8xPSZNW2nvHHp359ef+MnQUweWxapqPI/qzTE5j9cqDmizyg9AuLRvV/Nuke0epZEuo0IxC2Q1JSq86CEDB/zj0LEeQSC0lMhGPU6Znsc4d0tFTEYclDldXiLMPD3ch/J7n85tb79880ww2xkj8T+SecPNGINDic3YopuW9f+3d2VNchzHObO6e2b2ApZYAIIJQRRAQSBAHAQXEEBSMinLZgQPQIIl+EXhCDvC4V/gd+NP+MXv9gseGEGaZlgO0whKEZJtSmE5SBEXce8url3sObsz3VXpqO7pnj6nu2d7ZueoecJ2Z2VWZVV/qKzKA8z7i8/4ShwgJSku6nCEFePR+Gvf+vS5c4dn0tSt3hevAW7RBufluY+ezx7uUWQvthyQ3MFcXFjYznHkBCGzy1A3U+k2d0bONXzzEDy+RLd7OuKYav6gX/m3y63pr+TQhf0vh03+yu8fPl/93expWre223PiS4nr7YP8YRzNbZPzLyIwZ1cWxHIUkOyD7bjrtYZ5yCRfXVurHN79y51/efwLZgRLCRW54BWveA0wgyxDlB//8yTmDvcoUqc9A0geMD2t7hWMnRAMx+TZThb/ojBd0kYlrLg0umGTL+qcVX9199D6jfkTwCk5DLRxmB3WZ312cYFLQPKckNJv1GRakNLebb+d+vmR35T2TW3Ky9fuT9GHyHm/tj6Tb8lwDzQXXh4be9xuuEdeFbWi7zlAavxvy366Uv8ucTgsBITis1qc+CSFjiQ8zwtQLn2rW73Y0JU+k8+XNsprn905sTG7dMjLndsYvAcxKK/0AezdTeNXn1uZ50sxFYMSVqA+Wf564t3Dn06c2Z2tCmyRK1/xAkR9Zf1p5eFmwz2KVGVvAlJjhH9FVFmcXz+uIXzbS3PSqB8XNsVcEyuQ8tZX+jv83FViUsxb07TTnMJpvp80FYdBvnlncXL1N/dPW4u1PYE4Wx6NwJfgZM2tBgDJCeD1Zw+QfyPgiD5fOb33010/O3qnyMUcz6vPtiyFKyQ6fqZRjW0rz13GYsI9iuxyTwOSZ8YtLe0wzdJJprOdAceipEswbysTPLS2PyPW+EL8fkhOwETzy3FzPEk+4du0wN++qYgLAg45QvWr/NXfzX5r/f8eTfMad6rR2OkDosuwfn91nq8m75BQw43ywalf7fqb6f/VRo3MeZMCksIpvtz9c97n7X5FeeUk0W+FfAM4jJcefwDFhnu0O5S4dn0BSG7H//zZ+gsAeIKoGZ9lv4uxodDnAU4+z3CXV9L7tHaxyh8C+aKObOWzW0c2bs8fA97MFmp7fDeyApgzK/PW8obMch3MuiTDPfaM/n7Hz1/55ch3dnTMy7fID2OQeMnLU5OVni3/95XHV374w8LDPYrUVV8Bkhy4THNirdYPI8BLJHgjYVLYqPKrKOBwFLOlCbdtmbgkYUs0PPLNp9WRlc/unjQfLr/YzEXkbJdq95ciZ0jaxOjdiT878B873t7/xD8rwmzkIzLCOS83l1JRmE7x0+hNXdB0GRb5Foe1qe0wF67uUSSIFMmr7wDJHfw5otHyivUKJ+GUobZXoQYgYmynSJ4fH4D46cPtk/h58kJBX0Mkv3pzYar6X/dPW0u13a46aneXFviyswHCkrE4emzPf+7665PXi1ywilc2DZBO9bJVfnh5B8ZW98jGpftUfQtIrqremVvZZYxWphkIuwy1a3L5zbRWz2SbNJPOlSXp0ky6YZO/8uuZ/dUvHk5TnY/W7y3N82qtXvr25K93/e2Z/zFGjZT0et1f8IMuUYZ76Gb9yQffGH/SrXCPInXa94DkKuMnixsvEtOPI8ky1HEu1y5lmkkWdsT0mxTxfJ3qKul0Tg8GTz5fM/Xlz74+un5tfnniT1/4dPzwHzWTdW3OAsu/1of5Uo3xxW+MdD/cI/8kJbcYGECSQ5z+/HNj74vHjwLRIV8h6GTHpSI1KXllDR0pWq7Lb4vlc53d1pgIZA6kulnIGsOSETwo9/gG3dQwlCN7KORrVKVt5dk81T06tQQ3y7eQxbLZThTd3q62q1uvcrK+iRqLBHYSF964/e/9z90+JbUPt8tC55l+AyqfIbvNLbFW9HwqfvEaQALL0kpzH29xuEeR8zOQgOQq6OIq7dkQtVNokROfJb3yYgAKHIDw+SH5nGy4z11GYwDhvz1LMEQXsBB9OcsGWL6m67c8QFJ1yZwVULQJWQfQDBA1LD391zF4DG1W9ygSRIrkNdCAZCuKCM/NrxwCXT+OQqY5afz8wODbsQQAy/+8ldbDQCUdc/xnSnF8BlA+6nSLmFZIsvciF/kg8WKmWDYmK7OXEYvKxttT6hl8QGqo+yJRaaMKJxjxg8R5wM84rdpPu+/T2rkrIY2u3fdp7YqWj8huEdMVIHXgE9d02NDLIIFooPU7NIDkrhG72q5hnULAPfKZaBEawjQt+N7Jk++4O3kmWfPWTNK7Pz9fm49vkQbKog2QfAlIjJN9hpQ3YqLoiIxBkQ9E3NJLDz/ahk87gHM9x3LoAMmdgR/PV/cJozSNDMadkt1NyNCABUp9ezsJLlD4TC3mmWLNvUjwfTB9ipMq15ETphsE+YJbtzRUO6QivnJGRKxSmocReHgZI+m6ihDRkzyGFpAa50vswrP6Ea5pRxlE05yQEIgseksXnklJJ3x0WQJJJI9WdPJ9v8lHpFsap6BJEUkeU/B3EN4Khdn3oXymGysTZZjtl3CPImd0uAGpeb40Unu2/irT9AONIhqt6wAlHc60KlHt2XIh2y3RlmsxzT0qn5N1yyjpgRzY1IhZa44m71mscw+BoZi3KF9HQjpd78pH3ajpZmm238I9FCAVqQEfrwvLNGVZte8hkhef5Q8VcUlJ+NKY2DuZ4N/JdG71k+wejP0kn3Prlq5MttyrkwzijEqPPhiHvgz3yD3gFg3UDilGOefWaT/W6qeAoVeG2jahZIgINHN6B2yumIgQD3Ya7xgEE7u5orOmyu11+ULDr3XXZMubpyhpkYZNrjQTzeXTB/Llbs6sW8/mnhuZ+y1i1pEV+f33HC8FSAlTItOcmGvmMcHpKAnU/TFomiYLVjYbOnnYgg9k7UVvp+SrO2c/05zajHHv/TFxtvnosW3y71X5pOk3de/av93vKwlJsn47/dHe0o01LMPMIIR7ZJ2ZLHQKkFK09DbR2NgGnLJMc79LGg2xldWbogkQ5W1d8PYsufpcbMJJX1rGVnzCcpr97K58AuOmzmCg/WSyfFStaDiBKcZh9mPc2uoemx1Hp9orQMqo2QsrtFswOIPEp/xN8kaShMWlRaYk8Xf59JJ8BvQ1hW/ZMuo3LxkzgsG2wiwmiDdrP/LKl4WgTMt4/G874dGghXtk1VkWOgVIWbTk0RBeWK4d5Ki/SggVJpolwF0SN2e3vLJ3Ek8LcF0H5OG3Syfc3N7S0TKGj+ev5HMnkHRp7bZWPt3sFiDlmrYtJibki5XtlZlBDfcoUr0KkNrQ5jSR8fyy+QoKOIIaYzJLQFy0fxusA02y8s1Kl7c/Wfk26WIAqdP5kNJu8bdQPmm0XtkoPbi8e7DDPfKuq1b0CpA2oc135mmbodXOAGP7ImzSUnnLBq3yyHk2WUwH87RLSxmePV9csyNJ8hFvAqMUP6TWCk/yI0r3L3L4ZqVL6kUh8mvESa/NfrRt21CEe2ziE4o0VYBUgDbfr1b3Grx0hhNM+j0q5S2Z/zbNrR3kmHOND8hnkhEIDJ+Nx3mKSzo/XwaAAlyP8ubhetfl43CbbLKUli6sJ9qOEVnzTKXvbePbUoDUhtJim8g0Jwv1I1jWTpIQZWcDFLzlCp8BuXySnrtnUJ48edbkO3tK63q35aNh3KCa6dyy5fUDyhriUVQUbt7oW1fZCe3QEsvLC+UHV/Zj9tK9aRM4hO8VIBU86e8QlUsr1jQBvUTAHP26O6JGaIl91B1TJpExub9qxs4xEOiR+ehturS/fXy6Jl/DGwZzQkfMULy/EQ0VtFWTRpeMP/FvmjgYfN8x+YJq1njp/ieIywUvpaFkpwCpQ9P+3iI9Z1TgLK+be72dkMwi4NvuOP9kbp3FxpsmhfPGOWsSvvt9+Vz4ODGNBd67pqFTlSnIr5PydcQb2ACksFrzbmyKnpai5RMBhzGY+wBUuEeRc6UAqUhtxvB6d51eMCx+Fhg4ZagDv+jpcDSPki/fUgz/cFk5lyTpeSfl60g3unXtn9cPqKhpllVggfj8wmRl5gpiT1eBLWrM3eSjAKkL2r5ExD5fg2Mo+ElsnK6g5sTEyfi0Vl1w6Vza8N/htnF8sz6L60ce+RrS9W4BUhemLSICK8aKtQAPPnoeq1shfxhkKkDq4iyfm6VRmLBOI9F3XbOqpXh59pQhHxOgQKD0vE25h5pTvmZo171DbVdY1sPq3J1LaNDuYXUL+URUt8ZKD1S4R1GTlMxHAVLndRyR8M4K7TIYfw2EsNPoZvrF+TVFnmVPa5JJpp8og3wGeB0SzpBcVuEQj7DpFe6XS89C+ZBEJM+S0zIrP1dOK3oZ7gHV6qMP/2H0IVxq3i/k1p1qkFkDCpAyq6p4wvNL9B2A+lkiHLO5+50YQ14sAdMJgmlQEDiSPy1Ko6vh55552Aq33GG2IZ/p4rqohTJGFq+2rnDkIBZGZ8oPLr88mNU9uqLENoQoQGpDaUU2eYtIn1g2TwLCCVk1zuEdj0zIASlSsjsOQZz2yDmSfVbloAsCtACucCnwKN80+Sh3SLzhqZ3mh9SuEvNel+U04VBQdWm9dO+KCvdod4Y21U4B0qbUV1zj80+eTMDIxFlC44B7oy93ODHuSiE3AXkaJaua+G/jbNTy8i01+ThbI+lMQEwjVw6Bc7Aefp5XPgO8lmayFaexYjkJAhMFzAxLdY9itVccNwVIxemyEE7vrtIeRvz7ALhTOkB6v1Du7bBjpAsuAbKwA6WdeyD6s+U0XoTb55PPrgGDQCxbIUrpIBMCEAbCY+1fYO7yX6hwjw6qOhNrBUiZ1NRlIiK8sAovcYTvAYqRpvRAfUv7ccBB0pfQLQg90XaJSBepIJdUhcDhEJAv2DUSjdCRhgDUg3mLyHLyFoWfJ2m4XXqXXyv5wqot8W3le58g1ro8w0pcggYUIPXw0rj4JZWs/TDNuTgGjDE7BMTvBuAL0vWG4b73v8v6LE4XYXkt5BMX1wCD0f69qF7BjPXJcbj3Tyrco+emRwFSz01JtEMXibbXl/kbxPCFuO7KM6BA8YGCxpSVr0tHIK6BCAGS7nYmzSEpLQd3UvtQu7DvtE8+AlhAMPvhGDwGRO+MrSB1KTYFaEABUgFK7BaLH1er+4QofR8In3NkJiVdcnsk36eVo8za+3RHJLlDQkPvapCpa9IlmWj2c8sEU/AnG5OVByrcI+t8bw2dAqSt0Xv7Ui9dYuf/7u+PkuCnAdFOc+IUt2xc7Qduz4L5mNzbtGhmOLc7UQclf104Es26coGqKa58xKvetX/7Iyy0JSItVyZKdy8jrhfKWDHriAYUIHVErZ1n+hZRZWIVzggQL0v/oniJEkB8deQcujhTJeF5uH2EX1AssqvATeeWLdEPKW+ZopCpZoZMtCR2mlGjMbinwj06vxaLlKAAqUhtbgGvHy3T1CjwHxDiNwPi/YncYosIJJh89qG15wOQa30QiqvIumuyhVUu04LUAeb+fRTm1DnRFizITYrMteA2KUs176AG3tugA8yCN4jEdk+MxgAidZIaYBPIpR2i8yw4n7tAhnpNWwlIMn2s0GB+bxnu/6OqAtvBldZZ1gqQOqvfrnKX1XarVXiFhDjFNJZ2rQVZq4pkHQQJuIoMunqobe/zOKyur4MK98g6UT1MpwCphyen3a6dIxoVa9bryPSX/KAj/+3ydMs2+Z/FyfOXd0qjBWRfkXuG1G7nc7TTdaNOHO6rcI8cSutxUgVIPT5Bm+neBaLd9VX+Jmi4xxfq1mQpTbpwMInPlItWLYnvjVP1BMgGJNY41PZIUzdquYcoo/DYBjw8uQNmLqFKC5JbgT3cQAFSD09OUV07v0GHOOdvkMDxonjG8kHxFXT4UJsxWOBlUOEeHZ3IrWOuAGnrdN9VyTLNycg6nEIupgHB81+O60TMvgn8IStMCBSBEt9OdRQG4ivOKXCGhEYols10Ytny/gyNquZY6Y6q7pFXc/1F39bi6K8hqt76NXCeaEJU+Q8E4UH3uZMnyeef1Egz4JRragbXptERiK/ABSSjYapF/IbiTTgXIcORH0wHU6vDgw/H8ZGaycHXgAKkwZ/j2BG+/7S6V1RKbxLg7hZZTiKx/y6zYJoSGfcrZGHMP7i3bIkhZaHeJNFxACohPDIqcF9VgR2eRaoAaXjmOjpSInxvFV4GBq8DwuhmVYEM/oAi37V/HCAJDkuj43BHhXtsdkb6r70CpP6bs8J7fJGoVN2AM2SJk6gF0sLlktUOIPkFcAEbaMHdjyfxWS7BinhgNKAAaWCmcvMD+QnRZL0KbwLBAdcdAH2H1xSXf8kW6xyDI4jcOyS7ORFnuvHgQxXusflJ7HMOCpD6fAI70X1ZbRc5vEUgprLUhbNv3YARAnhnSFn6JTMGWAye7CvDPRXukUVjg0+jAGnw57i9ERKx81U4wQFeIxKVABNp1fmTejdS5yLAl1lDR4jDijkOt3+BuNZeB1WrQdSAAqRBnNUCx/TafRrZvhNeZwTHSQj7Qo4BA/JlE5DuAPKWDUF8GT7URl0PpDshgjrjcFeFexQ4SQPESgHSAE1mJ4dyjmgnX+V/Qqjt8+Q0/AVcR0oUyTskWQWWA8z8YgRmQIV7dHKq+pq3AqS+nr7ud/79JTooSvAmcZh0pTsWnADU2Rdx1/7E4CmV4a6q7tH9+eo3iQqQ+m3GeqC/Ms3JugnTwoKzCFByu0QMAoBkCVhjNbj9yRR2PSVJD6hJdaENDShAakNpqomjgbeJxrQq/DFDOCJLrQmCLxnCEicwSwT3VLiHWil5NaAAKa/GFH1EA3a1XYAfCYB5ocHVCRXuoVZJmxpQgNSm4lSzqAZk4YEriBtKN0oD7Wrg/wHwB2J9dMwwWgAAAABJRU5ErkJggg==",Fae="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAUcAAAGCCAYAAABzbAFsAAAAAXNSR0IArs4c6QAAIABJREFUeF7svWtvG1ma5/k/ESduvJO6WbYyy5nlzulxbu9i14MCFthB+UVjgf0A7o9QX8Ppj7H1Edpv9vW8cgGNWWAWxgA9W+7pLHWWMq20LJEixWvcIyafuFDBIEMkJVJKSkGUK8WIE+c5fCLOL57LuTDkn1wDuQZyDeQamNIA21Sd+L4/0XbGmL+pvyVvd66B+6SB+9I3Nw6OacWnH6ockvepm+W/ZZM0cN/65kbBcZ7y4wcpB+Qmdam8rfdBA/exb24yHNNtH7vVORzvQ3fLf8MmaSAFx3vRN+8THOlZCgCZw3GTulXe1vuggTlw3Mi+ualwzGp3Dsf70NPy37BxGkjA8d70zU2HY9z+ZKY6TGPn2euN62B5gzdXAzPguPF9cxPhGLc5K66RW4+b28fylm+oBiI43qu+uTFwTL2ZMk33N78EHl8Dfh533NBeljd74zRwX/vmpsFx6s30DmAvo0TMWwCvwr9zOG5cF8sbvKkayLIaN71vbjIcr3Krczhuak/L271xGpgBx3vRNzcOjm8B9ip8fIK2vwfYC8B/ByCyIAPLMR/Ss3F9LG/whmoghuN965sbB0eCYmSuJwEJAmQERT+PO25oL8ubvZEaSFiO96pvbiQcCZCRxZh8mMZwjA7mrvVGdrW80ZumgSQc71Pf3Fg4xm71B4A9v7Qa8Rbw86TMpnWvvL2brIE0HO9L39wkOArRA0RtTv7DBwA64Cdd6zxjvcndLW/7JmnA9/172Tc3Co5xwPc9IGihxZjlVufDeTapd+Vt3WgNEBzvY9/cRDiOrcbDKGP9LJGMiZMyueW40f0tb/wGaSABx3vVNzcKjil3mhEcn4UPkZ9wrb0YkPksmQ3qYXlTN1YDkVs9Ee66D31zM+Do+7QHQjrWGH/HIQAL8KO4Yw7Hje1mecM3TgP3uG9uBBzT2bAPgCADjB+B4Snof8lhPDkcN66H5Q3eVA3c5765cXBMJGPYEcCeAjgC4AD+M4DAmMNxU3ta3u6N00ASjvetb24kHF8A7OgIwlMiYwKO1gf4z5/DzWOOG9fH8gZvqAbScLxPfXPj4AhAODyEwJ+B8ShbTVYjudYfAP85cjhuaD/Lm72BGki51feqb24mHAGBwBjDEcfAwQG8HI4b2LvyJm+0BqbgeI/65sbB8QMgUjLmWZS9PjkBc/fhR9aj9+4dvJcvw7hjPpRno/td3vgN0EASjvetb24kHJ8D7BgQxMitdhHC0TmEf/wM7ssoKZPDcQN6V97EjdZAGo73qW9uJBwLRxD4U7AYjjgBzH14BMhjJOFIzx0Nkcw/uQZyDaxDA2k43qe+uXFwBCAeAYJyAgH7gHAK5u3BJ+vRALxngPv2LfxXr+AFPy7fhXAdfSKvM9dAoIFUzPFe9c2NguM7QHgJCAEcAUGI3GoPl3DsAt4PgPcKORzz/ptrYN0aiOF4H/vmxsHxABApS52E4ymABuAdAN77BBxDwzF3q9fdQfL6H64GknC8b31zI+GoRskYshz3ABAc7QiObz/Ax3O4ZDnmcHy4nTb/5bejgTQc71Pf3Cg4BgPAAZFugJRyq8m13gfcxFjHHI630z9yKQ9YA4mY473rm/cCjs0mUN+Bl8PxAffS/KffiQbmwXGT++bGwZGy1TTGMbYc2wCjTHUdl3A8A7w/Ad7rfCD4nXSYXOjD0UASjvetb24MHN8CwtfvIbx4AeEEEDuJQeANwD8B/MoR3NFTeDkcH07nzH/p3WqA4Hhf++ZmwREQXuASjrvRUJ5zACbgVQB3hByOd9tdcukPSQNjON7Dvvnrh2O40jBtuUo7nImvAEaWIwcEBrCLyK2uAZ4OuPEUwtytfkhdNP+td6KBe943NxKO/3wKruxNzq0ewzGaQpjD8U66Sy70IWlgBhzvU9/cGDjSMJ63keX4zwCnQeA0t5rGOtIwHgvwCoATrQhOC97mK/M8pI6a/9bb10AEx/vaN68NxyhLNXVDVj6f2ffZdwD7PSDsAkIh3LNa7LchCgwMlKaO4NgF3J1ofnUOx9vvK7nEB6aBX1nfXDWTNheOgDgxt7oFv70NJ4fjA+ug+c+9Ow1kwfGO+uadwzGrAek7tLI5zTNuwAjgcjRDpncBVvE7vl2ve0XAiVfmyS3Hu+szueQHooFfSd9cF5OWshwXbUT8aKwEkIkbcHAIkfaOieE4uIBQo0wM4NPc6gHgVgGXli3L4fhAOmj+M+9OA7+CvrlOJi0Ex2UbkLxbNwZk8gYAYvMYQvUA4iNA6IXDe3I43l33yCU/ZA3cYd+8DSYtAkfm+zdfTPu6kCQlvIkSMrQkUhMQnlFCBhCH3a6AapXMRF8D3B8B7/8MtrDOLceH3Gfz3347GrjDvnkrTJoLx3mEJnDRraB5zFfdkutmsWfdgAbAaW71MLIcCY6lcB1Hl+D4/j28H36AF6wGnq/neDs9JZfy4DRwV33ztph0JRyvagRB8fXsxyETktcBVdYN0AGRxjmKPTDXh69Vg6mD7v9McEyuBp7D8cF12vwH344G7qJv3iaTrgvHeRbnTEBex3qctSTSz4C0F2WrB9H0QXKrCY60+MT5U7jjrRJyON5OT8mlPDgN3EXfvAKOK2fS0nC8wmJMPxyzAbkkrNI3oHsC0dkHL3QhijQInFaboEHgHXh9B+7THTjnyOH44Hpq/oNvXQN30TdnwXFdTFoajrQtyyJ34U1GHHJZ1zp9A344Bf96D2LsVlNbCI5FwPsJcJ8ih+Mi9ycvk2vgphq4i76ZYTmuhUmZld7AfA10vjY4AvxrXMJR6IN1fPh7FbgG4NL86txyvOljn1+fa2C+BqbguOa+edtMWhiOiaz0fK1dlphyrZeNOyZvAC1Z9p+iG9AEOCVkKtE4R1p4QgacHI7L3J68bK6B62vgtvtmGo7rZtLCcJzlTr+NXOxX4XqLwedVYkgPWY/0SQ/zWca1nnUDtjrgVh1iHWDDPphWhkdwHLbgPtmGnVuO13/g8ytzDSyqgdvumzMsxyl+rZJJs+F4uRRRUk8TZakRBMX0hyCZBGR0fsKCvA4c37+HSFskvG1C2pHAlRoEuQ8BZcDtw5fLcCljrQD2//cBXrw96zKyFn0o8nK5BnINADEcb6Vv3gGTZsJxXtAzC4yJBybtTt8cjoBIWyS8AyQAnJYv0wGhDOAC8GWEcGwfwzk+CGbIBHtX53DMu3GugfVoYAzHW+ibd8Gka8FxXsZ6hvW4EjhuHUE8egpeA7jVhyiWwYQBmFaCpwKuSXAEHFp84s85HNfTI/Jacw3E7uAvc6uJBe8Bcd19cx4c18GkpeGYthrfvQPDS9D/rrIWJ+FIyl1wvCMp5e1bCF+/grAFiEeI4AiI0gACaN4gudUe3JEL12vAJjg+j+ZX55Zj3pdzDaxHA7fZN6+C47qYNBeOMzJCE9dkwTFlPU5nrZeBI23LihlwTKzKQ241zZDxkMNxPV0hrzXXwKQGAjjeUt9MwvG2mLQUHKcIPWNAeGxBrguO/9yC9OU2RDUc6yjoAzAaBF4rwUnC8ewdvD/9Cd5339EWM/kn10CugVVrIA3HdfbNLDiuk0lz4Zj05VMNmXntO4Qu9trgCEhfAqLbBzcZhFIpnCFj9OAKFTjNEzhf78M5AzzagfA7lsNx1Z0ir++6GqAYXbDT8B19Vit/Co5r7Jspt3rMnnUyaRpw0ynzazUkjtnSf2eNd1w0FjjrBnzVBXeq4SBwfRiuysNKcATAaQKOeAj3YxfeyQu437Grl1K7o6f0VyD2Ljvpr+DnX6sJWXAJEhPRJ6nXRY4nGkLYnAg3peX9uuRfp29+jWsYLnfEpCk4zhloGZR/B7CXVz9cwdvx7Vvg1Sv4K4cjwJ1ohkwMR+7DFR04qMM+Wx0c0/q57bf+LcnPQTnncV5o7u5c3gbwS5T67pdv3814eafLza14wQIrlv8dtf/3EJ7vQjioQPyhAOlrDq5WIFrDcJV+Mlwo5KV34FLf1K4Bx7ti0pVwnLHaRVx+fN376Ha/SGSrM1xr0tUYLtexHK1j8IsCpIMGRIJjcAOKwGAIiD240OA0P8E5/jPcXjSc5+2HX2R+t+DDExeLy6evy6pnXrnNkO/frcu35D26leJJy+8XgdMwo34w/cJMl8uCYPo3ULnLZ3B+vWHfm19uTfKTcNR0cPEr8BoH9wXwYMWsYhjy4n24YhnO+Skctw9HewZ3mZBXOt6YWkd2bUxaCI7xlJydCISx1RiDcXxD3wMvXsBfBxzx4YN48Py5KLQhFRoQ+wNIYgnsojUSXL/gsy5cT4Yz0mAfH8LtHYdjHd/+wzXgmH5o/xw9tN8u6KLPg+WyHfu25T/0JNZ3fmD1THyS95T+nvd93vXLPgPz5KXP34L870jm7yE0dIi1J+BlD1J5ByIkcLEIZupg5W24YzgCjgs4NFnjpnC8DSbNc6uD87MakrAYg9vwProZCQsyfqMl32zXthzxAeLB82CvasnrgfuV0HK0dQiSD0+nMY4WnFMdTrcNh+D47gO8d+S2zJrnuOzD+dDK04vgQUHyFysxabnR/Y5fSvT3VS9GKpc8n/4ePztXHY/LpOuZdXzWy/sO5L96DlbvQHgsQ/z6f4NYrkAqSxBNGZJjQKhvwa8WwtWyxHC1rDQciQdzQ1WzkjG3waSF4JiIlEy40y9SNykJSLIe6fMy2Bxw/LmEIx1aYKxjHPSlFXlog60AjgD3I7ea4KjrI1qPxzV12J/7cBwP9hiOf56v/BtzrxlZlju3IGtWY9cp/95DMoJiEoQ3fiAeRgWvXgH1ryE87kP8+t9DLCuQuA4ucHCCo8DAdupDh3tFF2XYPzThlnaCuGNkOVJ/mR/vzshUz3SnV8mka8GRrMZ0I+LHgQBJ1mMMx2b0ZqDFKJJrPAaCbwDHIsBNQDg9h+iN4MOBa0qwfzgN3lT2+Rnc//z/wHv//R0B6771j5e/vOTukyVJU9/+AQKuerHQueQLL/09vsfzyl11XVzHrBfrvHrvWP7Lb8F2nkMgo+XZDsTHT8FtB1JFArdFCNCAkge3rMKZCUdiw4IMSHSnNBSD7+tg0sJwpJkwL6NgY7IhHxL5t+eAv244DjsdmfE6LwngFoPQDSxH0Iasrm7APhnCaZ3DaX2C+98suO9ProBjTPBY83Ewddnj8fVZ12WBclk58+qfdz7djuvIp078lryB+W/8X+X7IQlFut9pHUTuzszjyeckeV26nkXrXbRcWpHz5C1a76LlMuS/+Abs678HOziA+KwK0R/0lcpWWazK4I4QZqsbNTjlYrBdsk27g5aQsBxvCMd1MykTjqlMNUsO34nhmARjoL8PgP4cfjJz/TZhOUY6Dlzr61iO2gm4qkJiHGM4NjsQux0wSYTjMVh/NeCe/QVO8xjuhx7cP3/KLce1QKoDb6MgSUmWd2GHxTdgeJx4Lj4lssRJT4PKXfV91ni2JDSTcrKOU3s2VD7Bcfd/gvC3/wFC5QLSzhYkpQC+W4U4siCS5ViX4RRUOIUSrJvC8baZNBeOiRHoU/HGWXB8/vzSeqT7ngXH0Kueb30kY44awFVAqkQxx95oJI4uCmJbB3wHrjaA9b0IJ4bjf/0rvMPPiU5QXxKUndR+Ofn108Fzgsc7GrEx/16uBdLzKo2hSKC66hMHzCks9OIywTiv+pWd30D5FFojOH7xFcT9HfCdKqSGAu65kFxBFzRoqFRgM3fg7iol6y81ODexHGM43haTloZjptUYPSVJ1zppKSayUktlrGfB8QDgn4dDyWZFYXQB8dQA8xy4yhDW90M4Z204zc9w/+X/hzsBx5U9yXlFUxr4lmKSvyJIhsNxhAmr7Ka3jV6WC7wgv+2A/XmBcks351cmn37nzrcQvnkBoa5C2qlD+lIDH3i65IlMqCiqX3kEm3lwdx0EcBwewXn6FE4wlGdJtzoLjuti0o3h+Dxxhz/McK3jMY83heO3gPgDwPdpsdt+X2qZolTaLrBPn8B7JpgtwcFPsE/7cEYm7H/5DPe//b/wjk5nWIulJS3IQWR1ZF33baSEP2c87vH18en7LJ+g8H/DWSTQvjQcFrnglS+iDgEEErovM+7Jt98Cf866V4vIWLTMPZdPP4/g+B++hig+B/+6DKnQH0kjMKnU0BhUYKcK2y/A2QWsn1pwKwPY35/DDab2rgmOq2LSJBwTcxivorQWhQzjRhwegj17Bj+AIwCyHmMYrhKO708hPd8DHw0gjwRwienC588a73XBbAGORDegCXfwGfa/nsD9/s9wAzg+ixp2mHqq4+PzHvas61Z1/D7K/wIeHv9iSd5WhpugCNA/PHsENstjyDqOR2DYil6YSWhmHU/fLyqXCN88FPn0O3e+gvC/HkCUd8C/rkIqApKuQipqYI5psEfbqiVvwR7DcRv294B78svkmYXgeIdMyoTjjLGN4xR6HGuUD8HG4KGHEiEg01nraBmzqUHhi8Yc37yD+LsDiK0y+CQcIZydGlLLVJllw3FbQ7tTKNqDc9j/2oL74b/CO+7MsBLLqWP9yDJMH487warOx/U9JPkEjW9/yVauC5IJKAaQiz+HiTfXs/AtSP+fPpx+v80ql3zGkbyAKkzGtB+YfFJrAEcFov8bSP/+MbgkQHZlcEWAoMBA/UvVkjXYhW7XblerTgXXh+NtM+nacCSr8TC9nuMhYD2DPyvumFjCbOmY4xtA/B0gigDfQmQ5lsAlQDg7gtQywYYOXGEE63QIp9+E/X0T7vdNeJ+68DELkPOstfz8ajUw/CW7vUpIEhQH4ASuAHrJ1tLLLPkCSn9f7S97sPKf9sG2/ncIf1sE/+I3EB8XQzgaCiRFhKACqG7B4grshgOrXcVa4bhqJk3Acd5I9GTgM201xs9bbD1SAjk5lTCG48RA8AWz1e/ChW3HcDwfQDEE8FIB7OcfIZ/3wFwaBO7Bavdh3zoch5HFUlwylrmqTrpJ8glan+HgLa1RfI3PS58/+zuIh7E1P6OKpwCOljieLpp1fVzuuufnXXfT+uddv2r5T58C3xQh7uxD3N0Gf7wPLphQPAWc3GrRBNt+rJtVRbOVIiza32lZy/EumbQ0HLUPYOQ3yzNWAY9cksC1XgccB01IX+9AJDiyIOYI4eMZpM99U3AdxfVcmJ9HcPrnsP/ShvvXj3ADy/H4Gp2QLjmIrpt3fVwuLWbedfOadZ/lP4K3FCS/8/nTI/BZ0MtSI3XeoxkXpCFB5ejjdMFmhmEiAQf1q89PQfaeyyd9PH8Mofob8N0G+OMSuCpAlhVwuQABCrC9DVP14FSKMNcFx3Ux6Uo4vn0LRvMnow/tMsbSDZmV67AQutbJDPUqLEeCI+1ZbdUgM4Ru9V9/gjzohW616sL813O4xggWwfHwX+Cd9hLW3LKWXWyRxRrIr5+7SMAEIBbRH4U8hrAzLck/+BIeQxwvApG8B3WwZMgkgFeiAfRuGcNuGMzkwDEViOoIyscXxPUmy8V1BRVFX3L542cgDccdEZK6A1mRweVohsyTum5KimZ/UYT5z224TxqwlknIpC3H22TS8nAEWOzbHx+BxW9dekEfRLNh1gZHQNq5uISjr0P8uQmJ4Nj14LEWrKMBnG4T9k8jOEc/wZ2A4zxLbUXnH0f1fFpRfctWs5HyLXh4GiRunF+m4TP8ARxF8ORvTzLqKp08HoJ9SsSZAyjGF0zR87KmiXIzBOTyE3oEQHr+5n+BUKNZMU/Bt82RVNgtyMUSxEs4wpQasOs9WD84cNYCxzUx6Wo4Aiyx2ldoOQIsjjfyIzBELknglqTg+D5a3zFpQS4bc/zuO1/4/WsIFHMcRHDsSVAEAVwGhKMW5KEFNhzCddqwf3Zhd49COP7QhtccwMdp6knXlowN6lFMMeO6uTCKr4+bkcvPtkAJakShIRjpNfMFk7DgAhgmLbrIYo3vC6l9fD6qN74VV73AcvlX65/0/tVvIe58A3G3RnCEVNiFLEvglJAht/o3+zAkDbbyc9/+/KRsy8ewOwdwFh3KM2U53iKTrgfHKN7IU3FHiu8cPIVPlmNqnvV4GM+N4Qjw3vASjictyN0BhM7QdO2RZ/880OxuC/ZPJ3B+MuDOhGPUM/b2wj9OU/DMOh53qHnnF7X0cvmz9Y/o5TEBtyuUmobYXgVslseQBbssObn8S6XPeomQnp8WIW7vQSTLcb8ELktQlEroVisAvtyDIdZhKf2+/bm8RjiugUkz4ZgeAJ5Y/YLRGEdKxiRd6uRzG1iP0ZCeRFJmNhzpwjkZ6+98X/g9bcEaW44ER0BxdF2SoAln55DPP0PsMzj+ENbPHuxuJ8hYOx//Dd6/DuDvpDpWs5CyHEeRZZg+Hl23E52fum7O+Yi98OL6o/K5/Kv1T3qbgFtkeQfHE1b3FAQzyiE+vjdZb3B92qsAQC+tXH7iHs3QK7047McQvm5A2N6CuFsH36lAKhQhizAlWSM4KviiAgNVWFUX1ucybBmwaZOtF4DLFpghE1uOd8GkheD4x/fvhRd4EUzIj+GYthpj/iRd61lwjMotvDJPEo4nrZb8jSTxE84VUSgGCZlPJ6bStRWhb8OxL2D/PITdbcPun8I5voB3qMMHudY01SmGUwqWWcfTxkp+faiR5jr1V4Afv1TSVn0ArQTMYst7kXLp65JMDKB7zXpjVUzVn6rvvsknnXm/BftShbi9DbFRGEpf7wmclZislFUuOhBlAF/9DXSosKqA9RmXcPzh7VvvH1698uYZR1lwvA0mLQZHQKh/AKO5lLJ8yPDsGUXKg2tPjsP/7h+EAEq61mk4xrsRxjHIRZYtm4Qj5G8k8BMOhdZzlDQI/3YMpXlmcdP2HX2oWJ0B7OYQVgDHH+AdDuFDDdu2bbQmfm9L3Z6IfS0Lv7i8b4Q6aEVysjzAXP5i+if9CZEVn4RYbMEHgE5Y+XQ8/T3r+qnr4puVqi+XH/aZq/S/U0rAcQfSFxIk+Qmkgo/AcqTrn+zCKMgjS3ALlu50bNTrFlmOP7yF9w+vcH043gKTroRjPF3nj9QQRHBM+PYBGBNj/PbJTD4CnCjuOAXHX9YBoBXBrwPHoyNwrwTpm+0w5lgogo8MiH/9BKUzgmgO4ehDWM1zOM1BCMdPF/B+8OGhNRtX21kUm3M8XV1WPRlix7Xn8mcrmiVeMkkrlV5G6e/pGrLOz7uO6vGNFmOpF2Yu/1LDSf3T334J7GAf4lYDYmMb0hccUqUBqVwCdxyIrgD21WOMCjIswYWlO7BRx43geJtMuhkc0wPBj0MLklxrSsqsHI5PIX0TxRy5DslhEP5yArU/hGA6cPQRrGYbzmeKObbgnPTgHZ3Da2TATsjIGnvp7HJ0fVb5KfhG1MuqJ25OLj971ECrdflq2cY2YmAmYbVtgCWt9e0SWPpepM+zKMQSwDBRPl0ul3+1/gmOrgjhy68hjOFYCmOOBVo5K7Icx3AswNI7CTgC3j/Q/lJzcg5pt3ouHFfIpGvBkVzq2Gr8AsDHBHzIelwnHJ/0IA3JrWbgjgbhL3+FeqFDNG04ug6r2YHz+ecwIXNmwb0Kjtc0HPPL1qwBemkk2IixhU1/JM3x9PeoXV4RrE3hlOiznSh31eVBueiTy7/URZb+vS/AnqiXluNBlJApKpB8GsoD4OlTY1StqqYAWDpgA5HluGI4roNJN4LjF6lpcwRJgiPFHXUH/u4zeMFmW++Aly/hpxefWCbmeARwD5DqP0P265Alpksu04Tjz1A7XYgDG443gnUyhD0BRx1+vZPhvimTlotvdsImKfWJWKRvRrs6pMovyoj4+nR5lstP6TnUv1irBztWJi3vdsLKT4cjqFwSho3i9KrfSSs9WW/6eFa5XH7iZRO/hLQQjrW9YBVwvq9CLj+CpDJLpmHgEoC/+Q2GkGGVXFiDEqzOCewX+8F+Miu1HGM4rpJJmXB8/vYtexXNHUzHHIOGAIysxvSHrEaaLUMu9W8+wNd1+P0X8GnZsuuszBMnZKbhCMllEI4+Qut2IVK2OoDjAHavA/uUYo8tuD/58LLgmAm3enQmA6qLQvHa5R64/PRL49p6zC9cqwZqBbBiDQLBsb4VxhwLW5CLMiTXs0RJlvHbPQylMswYjtoJ7P1rwvG2mZQNx8RI9KvgeHoCRubiXjQ7JoYjTSWkuOOfPwAdHf4fXsC7KRz77bZ8oDek0HKEZDBD/PlUUNst8D6THTaCeTGCffoJdossyD68n07h11KPyLTFNmlpZJ3P6rTzLMu05ZjLT1vsCf1fAGwPPqPtdqNPUn9J3dHxq76nyeAXwCbqLQRzs4PPRD3pcpHnMFXugcv3RAhPvoTQqEGslnT5oKxJZDkGcHQhCsxi3+zKA2kXZmkASyrBMm4Cx1tm0iUcUyvuPp/RkNLhIdM4Z0+fPgVZjnIExvghJECSa20C/hiOAD1//h9wfTjuv38vyi9eiFIbcqEByRxBKTJwMIj/dooAjheO5bq6b+mWYn46g9M6hX06gHdswK8ZS04XXOv7Nq98ngbGACMLOmm9p7/HFc0rl3Vd1vWL1rtouXsqn142j3YhfnkAsSRA3n0CrkhQKiVwQQxXZf/mCwx8WbcKrmuVSyWT9pTfD7dpne9W3zGTZsKRXqTxDl/v3r1j5Zcv2Q8AK0Vzq5VjMPLtT9OZoRPA2oefTMrQqvNpOL55A7x+HQJr3mrg5Fbvv4cov8AEHGUBEg0C//4YWr8HbuhwL0amNTIU86wL+6wD5+yk7/18UfaqGb1xWQtxyhJJWBRpq4K++2Y30u/sFuTyZ1uQpJdZVvq1LMgEXAPLMRHnTVueSUs1lz9tUKT172tgj2SI1R3wJw1Iu4/BuQ+1Ei56K3gM7Lc7GJTLMJkLq1zCteF4F0y6Eo4778C+//49e/GHF5iAYxRvnIIjpaKwABx/AcfryA2/LhwrArnVpviXj4rW60HUXbgjHdaoC7M7hNM5RpwFAAAgAElEQVQ6hvNjG+7PPrxqd56tsuLzMQtvW278MzZcfh5zXPHzuKbqKiqYqkKsP4H4qAT5i8fgkKBsF8FdEaJr2+ybr6R+WV4dHG+TSVfDEWDfA+wPUViGtkU4DsIzky61dApm74VvGnKtKe4YD+dJWo5xCGmZxScmLEdArvYhD8qQKwbBEeKPH6G1zmzJkn2na8jWsAez2YN9egynNQy2SfAqC1qOs2Jck5f2ovhUZaF1DbOy1HGd82KY081+APLphVIFWCIUkmXhzbPkp2KEKthEvanv4/ufLpeKLWaxZtb9nrBU75l8XwXb24b4RRViaQfyngyZ1yHXmCVBkQWaPnjwBINiSTcVTTPLuLnluHOLTFoajnGmOl4JnMBIRCQfmwAZxB2PAZOG8jyFtxI4AuLw+JjvHhxIBMc2h7Ktgfe7Jv/4iWlnA5mbDI5uwOq3YA16sGm848cLuIPuL/sp55+N0kAAlFlWN1nEi1jj6XLLXBdrKpc//cyk9Ehw3N2BuK+NePVJQXpcgsQaULYkcM+zRYp7PdnyBtUtxVA0rA2O62LSjeA4BmOkRptc5SjuSEmZXawSjuC7BxjDscIgmcwUPx4r2lnTlh1fsjumZQ+bntns+nZrqNntC7h9Ez5Cg2vqw+SrEzW+1Y/0Uw4txozyvhWNg5xzPt2AXP5s/S/rVvtmjzEjYc1HYYVlY4rXfYM8VPkBHBsQ99hIerxX4I9KkKwYjiJEwQH78kv0qyUYvje0NLto8hqlJcKEzCvAuzKslkjIxDHHWZZjEo6rZNLN4JhKyKThqB/CHzyDHydkru1WA2L9GLxT7MiP63VJ16HAMmRPVYWjv6Lw+QKSI8G2+rA7fZjdj3A6w6H9sVN0hzRFKf6kIRn721nHr3vdsnJy+RNcmvfSuC7E8utWq4GyCkZTB8sqePWxIe03VEmVLKXAmARFEkQGdvAl+ltF6L4HS7Nh9k3Yz/dgrQ2OK2TS0nBsHkOIM9XSrIZESRmyHGkg+ACrhCPkujSQLVFUZKZJHg0C/xmFZhMy7Vt9YcAamTCbZ7DPW7BbI3ij/gy3Om3hRZbf+NHJOj91fNKyxLx6YwHzyj1k+TJ8emf1Zwy/IkueyeXL8Y8W2DIgpc6crDf9Pb49Wcdz+ZP6LwkQth9BKDfA92qQdsqmzIpMKUsy90SINEOG4FguwpA8mFoRZv8UtnoOG8/hrspyXBeTpuD45s0b9vr1a9BQnqQJe3gI4ZiDKU8vkzEEx3YzdCkbO+F2BBR3pIz1yuEI8E6H4AjZEqHIgVsN8acjFFpdWzZHcCxBMkd9mGc/w+mMYB934Q5N+MzKxzmu1mZYc20xGImSvctwBrlxM0MkUblxq2Z8Tydipn5Br584FIZRkMu/Uv/0EmmQ5XgAXpUh7VYgF2qQC3Iwtzpwq7/6Ct0AjhpMDdeD410xaQYcwV6/xjQcAWGcqQbY+SnYoz1gAo60OnA0M+Y24EiDwP/yCYWzE1uxLcnWRVijAczmJ8PpnKv2z92hO/KLHgaLxRx9axDOrZZLi2Wjo/JAKRKQIWh8frIdaasnlz9gpPuKDD8jTBwosGyB9a+IF2edn3ddfHfSbE0/PfPqeSjyywoYzY4p18H3KmQ5QiaHmkApihBt2PjiK6n3uAjd0WDuA+ZHwFY/LGc5vnlzN0yahiPAXmM+HGOXuh271s3QepwHx7dv3+LDq1f+UuMcKeZIliMg1weR5ahBggnxhx9RPOlC9nQ4AwZz0IF1PoB9/lc4JwzOaJBnq9ds5628+glLP4agBUb2XGDf0bEgWRZZeMkWJKAZQGp8rg9ELvnk8clakvZjcGkuPzQUZui/KJfZVh1iqQ6+uwdppwSZq6HlqIoQPSfYnbS7HcGx0oXVrsJaGo53xKRMOJIB9S4xpugwZTmOXerEBi0NwP98Clge/C0X/s4BvMS6jkFihFYD//AK14cjIA90qIoACmmIHz+h0GxBthw4PcOyBm3Z6piwzmmx2x5c/Uo4RpaelLIU7elVXcI+llE+jQc7tEAvLcosfuTyA82k9E92+PAaoZByGegn6DaGaaT+9PmiDDZLTtbxeW+Bhyaf9DQBxwZkhUMpSJBEDyL10C92rV6jLutMhTGGY7h02cIxx3j/mNtm0hiOsxaVjOH4f3wAOytAoG1YgwHgAAvgCLDd6Ik5o7gjwRHAVuRa7wDes2jl7z/+8T2++abvN1++9D9gxXDsQjYMuAM3shxbsNt9OL02HB3whlne7rynPXW+mFF+OKdc+vySYsfFH4x8Kdj3J/pc3rxSqYRB8l4SRZMHSmF4Iw1X6sQT18VV03zYCMIU0gjqnxKbyx+rK6X/4hZYQxqJpRrju48EaaehhHCUIUlKuJ7jbw/QKxVxLTjeNZMWgyPAzhD+2MEJBFmI4o0JONK5s7RrfQT/5dPArfX/+B74pg+/+RI3gqM2gOKIUATLlJmgiD+eonjehWzpcEY2jN4F7A6Z7304J204Iwt+GirDiFaMOmHi46csxmLqQqprFtgKcmhpzjsfX5vLDzUxS//Bsei+BOxb4E2SVa5ogwaVBPcsWU/W8bSoXP7V+i9SzLEKkdZyLO9CaihQCipkVbBlSZEEgYH9Zh/dWh2j61iOV8LxFpi0FBybx2CaCJaEo9QKwVDfhj8Fx18Wun0ZjjNcPRwFyAzB9MFi89xWLEdyBt2haTncOu0qVrsJ57MR7CvjxYzLsvAWPR53nlXVt2w9D0V+bM0l303Je0THp74nXnTUaWMaDumPyG0nKM6y4q+SM36hJciZyw/1T0ZBvQpxuwZeewJeEyy1UJVlVbZlSSA4OuzRltfd2pVHcIfGTrFotgFLXdCtXgSO62TSXDj+6QOE38lg2jOwoCEHoVstN4OpQ7TiTlhHC7C34ZNrnUzKjOFIyxcBfhM3sxx3BlD6IlRfgERw/OsPKDU7UGic42gIo+/AuiDLsQmn24NrjKYTMvMsxtFE1wMKCLtPfN24g0WWZiHqOKOUJVqwh5F+J03QXP7VFjvpJ2mFj7VXApIhkmLqe/LlkYZn7G8nr6fOPUuOn3Gc/PVc/uVbolAHq3OIhSKkR0/AHylQJMVWlYrEKVtNJb/cQq++iyFcGDtFrASOt8Wk+XAEhN/FS5VF8cbz6L8Ub5wHx4PDQ//Zs2feHxNwnNiBcM4GO8HCE4lsdXk4VG2hqMQJmX/7iNLPTai2BZvcasOAfdqE1e7B6TXhGj48Zk92xlHKf4rhtoAHt5IiufxJNab1n3x5JOFFMLuE3jB6ZVFdxSlLMjlMiqZ3putJ38is87n8y76T1n9gOVYEcbui8fIOpEdlS1G4rBQ1hHDkwOPqJRyLLiyjAvPiEM6jZ3DmDQLPshz/dEtMuhKO0XxGYbyOYyoZE7jUiQ09gumDTaC8E2apg0VvD+E/e4YbwxEnJxL296XyEKotQBFsyFIFwvf/Zpc/tyXFtmEPejANHXZTh0mWY28w23KMO0Yamr40e460b43C8Y92YTJGGZUf15caexfPuc4iai4/ZUFG+hSSUz5nKM+3h4xJxYl7MdNSTLnfhUQMcpa7nA5bZN23XH6of7Kw6xWIDc2Qqo9VvqtaqqbJskbZatUJhvI8OuAXe7XQclwFHG+TSTPhGO/V8P79e+GHFy8uF7lNwzE1fbCOMO5IQ3noX2kfHq0I/gyrgCMk7OMSjgJoRSTxr8cofepAtW2b9o6xrKFvNUey2RnA6V/AmeVWr8T8yytZmwZiOFKCLBmqIEslOQaSIBU24jJskS4fm5QTx7OGahUvs9dUay7/av17GAm1akHcriCyHKFoGmRRhqyIjugxzp5+hU69gaE1gll3YF7XcrwLJmXAEYz21nr/HsIPLxIrgM+BYxx3JKuR/pWwWjiOtAt5T6opdhGKYIZwPDxC+VSHYjuwe2cER1hND2b7BC7B0SQrRJ/Xj5d0dPmc6YhO1jjJrHbk8pOaYYWCN51xCUskNVWYlRlJq/iKTA55CrH7PUqUm1lvdD6Xf6lgrQZW9cG39sDLZVN6VFYUbQuywiDHbvUXj3CxvYfBoDWy9uSCcX043j6TZsOR5lW/Ayu/BNMA9mMi5tg/DYfySCx0qXvtEASVRgiMOBmThKP14YP/T8+f+3FC5joxR5xAGmmQ9yQoIxGqyGjDR4hHn1A6uXBU2/ftXkeyHMDsnsO6GMA5O4dr6vBYGmbzYKlFD0C6XHw83QEXLRdfl8u/+m3F4c9aUILCFOlY4k3KpRuRDIPcpN5F27nx8n0I1QrErR3wcgkSJWSUKhSVFr0VIPjMYU92vYutbW9gDFRzbxuGAZgXgPMIy8UcaU+r22ZSNhwRTNeahiNAK/yyON4YwLEBoB0CMglH/Rj+jnPk745G3o3hCEijC8h7NSgjI4SjY1v8px9ZqTWUVFN3nK7NDceGeXYOi9zqXgTHzJhfCpr+HItvCrJRxfF1886n25Eun8uPYr5+PuVznq/zqzgvgREcG3VIJYJjA0owCLxAc6sd0XPBvviSdyqqOXRtxbgxHG+ZSUvBMRgAvn85Q4bA2CAwhmykRUxmwBH+7gjePz3HdSxH9uof/1H4+1evaAC6JF9AVmpQuheGJopMZkwRf/qEUusCqqkHS5aZdmQ5ds5M93yo2GQ5/ioepLwRC2uAxXBMJrxSIw4mKqNyyfPp73Hhq47H1nzyhZnLv5xenNa/M2KqVGDyTmg5bkmQ6gRHLbQcRR8i58BvHqNTUzEcSjD2Cje0HGfAcZ1MWg6OkdUYTx+k1aQiNo7heN4Cnm7DIwvyB8DfiVYE/ydcB44+e/WPEP7+VTA75xKOBjTRhswYudV2uX3ONMPmdteBYXYtq9n3rYs2nL6pOLPgyJxUlpQ2eU18ss5PHY8D+5G7Pa/eWMS8crl83We2dpmNzgpnkEKTIYpkuQWO+5LOGE/IGXsCOsvlz9e/Bwi1OoS6BmlrC9JuyVaEiqSogiPT3GrOOb7cR2erjMGwCqPS75sDwzDdnR37Wm71LDiukUkrgWO/02Hlet1vk2vtwbd9+DScZ5Vw7J2eytt7e5ICKF2CI4Ps2Rb/+Ekutc+hGTbsnmlbhiUZF6em3TMVu9UOY46Yl0BZ2KbJC65dAzogaKG1T2GGZOgh/T1uy7xy2dfp0fOvYVZIZF69D1k+6cbnYNUyxHrNlBoNJu1UZIkr0EoUc2RhzPFgn3d2S+hfyDC3HBifP7Us7d9tW+uG4yqYtDAcB8fHgnZwEM6OiRaeoL0b+p3Q6irXEcKR4o7NcChPdw/eqizH3ink7T2k4Aj+4wnKnXNotu3YFwY39RHMzqll903ZPu9hpuV42cGzMikZx9OQnYpR3jQzMycT9BDkUzKGZhpdlbQiNV3n/Lzr4gdjXrnrnp933QbJ93tgagVMqUGoq5AatG91CYpYBk3QoISMyGkl8H10drfRv/BiOMLS/h1WAsd1M2kJOEKIpw4aLQiS0GaNRgMTcEzFHcuAF2+0dS232vfZK0D4e0AgOBbVrqxxrgwcUSsIquwyi//4kZWbbaY5Puyuzo0Ajh3YfQv2eR+OaSwylGfF9lAW41YsJrO6DZfPokHgZJkkQwwqBzOSIZHod/q2zpgUuYEJaAbXx1M6U8dn+eNUXbL+XH62/kk3BMeKAFGtmdJemcn1ApPFiqSUmCOLIhc95rAvdv32k32vr3uKUQgsx1XCcb1MWhyOgbcDpjchKDtgUpSM6ccDwTuAXQ/2/xgnZWI40kZb/8WC//vn8Ghu9cJDeabgCFm0R6pVKqgFBtklt7oll05PUXBs2BembRoDyaCpg/0+QsuR4LjiT3pudLr69Oo+KxY/tZrNfZJPMNR4sP9QxicrmDhfy2nDbfJ7XK+Gqw28XH6oaQ2KBqEiGqK2rfK9MuSaYitKQ1IU5shKMH2QY38P7Sfb5iUcTVja9oosxzUzaS4czw4PBTx7RmubhHAEBFrTkdZzlMilrl8+lJSEWT8coVolqLJtKYzJ4o+f7fJpWyo4OuyhC7PXhalb4WrgrY7hmibNrVYX2vZgfvdarIQaFTMWK77yUpsuP7YcpxRDYYwF4seqBGYks6uOzjAj8TJd/5xyufxL/UtgCgerFCFqDfC6ArmuQCntQil4jsJlLtgujXP024/rUn8kwVAcGLwMc4ibwfG2mDQFx+T+sDTO8ewQAp4F67oJximEL/ZCMFKmOr37YDmIoSeG85yEUwhpF8L/Avi/xw0sR0AudslyjOEIxWMW/+mzUG43eWA59hwYBMeuBasfwBEBHLPiU6saZ6hGsUcjo+NmjV/M5adGDUR6HM+tzso+p6imaoAxw6Cjl8T4BZU4H5SP65gXu1yg3IOUrwWxD2GvCqG6A6kGyNWSrYgNppQYlxUlXJVnbw/txyXcCI53xaT5cIwXuQWEajwAPAOOtEQPZaptD766Dc+6Ao5v3rzB69ev/Xmbeo9jjgk4jiRTKwiK7DHwnz6jfNpyiq7Frb5lW+RWN7uWPTDkYMHbAI4Zn3kTYcb9JtWBtOjCzH61YF4mlx/emLS6knOrKYQxAbkZ91KxwczEcnHp7/ElWccpDDJLTtbxdBMeonzSjVoGK4sQK9uQGkVIBRlKseKoRYHLIsFRBPYadvugLvVuYjlOwfGWmHQtOOrttjBgjNXrCZ+anpgEHE2/6Ws7Ox7Nr44tx/337/36ixcexRzfvAFev8ZycARkcQR1ZEMraJA9C/zo2Km0Bzxwqy+GjmUMfaNl+Va/7dujvuJYM+CYtvBiyy9+6I1LuyI4pCJ0VMfHeeSmR5bOpRs76UjH16U7Uy5/0mJM65+p8CYswYyXWwjNaZPx6uOXlU1ZfNGprOPpZjxo+Rqg+BAqVQhq2ZR2FSZXi0xRy5JSpEHgMkTPddj+E35+0ECvO9TNfUnT9XKwC6E1WGL64CJwXAeTFoLj6RHYthLOjgkz1dHc6oiN/OKCObXaeG41xR7NJnxtByk4wq+/wI3g6I5GmiMWgpgjWY7Hn+XyeccpOgbsrslNdwij1bXsoSFbJxehW83csDNmxeLmHZ+CW9qty+i86ZjjPDlZ5R+a/HiGTBpSmTCTDGYk4srpmONUDHKeW54ByVz+ZfiCFu1QRbBSEWJ125LqBVkqFKAUJagFxVG4xINxjnuP/fMnRa83dBRjX8LK4HgbTLoSjs0PEErPweKG6LwpKGyHSdthvHFwccFqwYNUg1O7XHgigCPgU1hiwnIE/DoiOP4yyJe2Z13GrRZ7PUXiFdURKSFDMcfAra6ct1D0fFidESy9Z5ttUzL7bdijAWZajvMtxMsSSaia7mRiRxEnZ9YsCrdcfqiBLAtdYIG3EX0utaqNX2/TA3F0PVFOUy/tyYRhSeEQfewVqJNZ6fH1KsJyufz4LsWaSOtfUSCUFQjVbUg12QosR1liarHAA8uRFrvd28X5kwZ6Qw9G3R0Yfqlk3MRyvE0mLQZHgG0DwngYT5SMGVwghGMNoEQM/UlgTMJRPz72SwcHHiVk9q8Jx28/fBCLz59LMRx129RUkQVw/PizUGlfoOja3OqaMB2C41CyhiaszvnVcMww+PLDd6wBk4Vx4vSQGnK/kyGJefka1TEYi0IgiwzAocRZuv7kdbn8hH4cMKUIViqYYq2u8IpqK/WKJMvcUZUCl2XR4bTwxMEjv7W/K3VXDsdbYNLVcASCVcBPsxqCCI40QwbwOxR27ABKPRz8bZye+qq955UOMIbjyTv4z5vw472rF7Ecv/0AsfgcktiDInGoughNDSxHK4IjLzqGY/ccbjg9mO0hrMEQdmcIx6aYo7nq3p6qUFQmhwq5y67nuGz77rF8ET5l8Y3ET4zDEYG1mRgRkIYVuXnpez0u7xhMVVQY5qWFSd/j8tPlLu9JLv9SF2M9iWAK8aECQStb0k5JlqtVKDKHWipAZr7DAY7HW/b53o7XNbmi110Yfgk3sxxvkUnLwTE5xpHcarIgu10GVFH04V+Q5ejDt3z4cgOecQpftTEJR8B//vb6cISta05JU0M4kuWIyvk5Srbj2F3TNr2RZnRMmP2m5VwM5cCtzlpKbC6S0lBVMq6Iy2WdnytoTr3x6Qcif2KcY+Ie+OKlJTjWWPIeRfohC9CM4sxBWCSht2ToI0ioJCE8S7+5/LGqk/oPhqeVwIoCxGrZkqolFsBRKUlKQYQiCuFQnsdbON/bQXfAdWPX1XSCo3B0ZBefPrUX3UMmmZBppuG4RiZdC45mpyNIjDHUapC6kZXU7cKuVH27Bt9qJ+C4F8YdY7f6hOCY2IGQqqE1BmbiIZohk7QcIemaI2gqH1qqoMjijz871W6blUxftLpDmN4IERzhXAznudWL0i9s3fz1GsP6GJ+0JLPXaczlT973kE6Zg8AThdMLUpgJi1KZuS5njMWkHXjdt9bksxDA+IHJDzQXw3ELUrWIyHJ01BCOLIg5PtkTW3s1giOMXRcRHGEXn2KlcFwHk5aGo9VuCzJrBCuBS6zLUK2GT1gXsKthvLEE+Cetli9tb3tqlJSJ4ZjenjVkI1sCjtBgmxoEpviM8c8/S5XztlsyHN/uGaFbTZbjoAena8IOhvKs3K2+fqfKr5yvgTEc5w1wjKviJoOTeCHREnSpZemCouly85qSy0+Mlk8pi4PJIphUgFhuWFJVJstRUoqqo0oyFEngggCX7Ve9870vpc7AWx8c18WkTDh23r8X6tHmWv/9+Fj4m4ODYOqg1YYgB2CMhvNEbCTVxWAMkjIt+N1tjOE4CGOS4wVvPwB+mK1eAo6AAp3gCA0CFJ+Bfz5DpXmGshnHHPt2AMfhhWQHlqM1Y99qMTUzY+EYYWQZRjFGf+q6xSxBlsuf3MUxpcdgEHgSbsn1NtPHFypnRs+5QpnDS9kT63im/POF6k1BOLOd91A+B/MoWy1DoC0SqiXIlRrUAiVkNC6LgityiNjfts+3trwLgyv6TS3H22bSFXCEUI821/rvxxD+5iCcVx3AsRHNrSaXOguOgN/FJRwPDwHlGbwpyzFg49WW4ytA/BGQ7H5fVXlZhQDNtS1VYLL46QzVVhNly4Y1HDqmodtmZ8jNYce3dYd2UoCXjD/NMxby83evgXlbs85roe+YLB3amHfNKs8/BPnBeo5FsIYKkeCoFe3AciyoUGXBUUSZBXB8vIXW1hYuDA696g4M27KMcq9h/Xj0zsGf/uR99913mTPY4n2r45hj5/3tMikbjoBQR7jz4AQcE1MIaazjqBfGHAsV+N0uUPDhK7VwJfD1whEqWY4nJ6ieN90yxRxHQ5jmCEa7a1sjU7IuenDJcowHgd+4A8xdT/HGEq6u4CHIp/UcybI2p+O349gtrXySSLhMLUobZK1nXC+Cpa+L09VJmPpZ18exzFx+8JzKHKxYhagUw5hjQ3ZUWUVgOQq+y2n+4ONdu7WzL3UGOowtDt22YJR7sH48goM/wfvuO7Y4HG+ZSQvBcXAMoSpBOBZbgrK9PV7sNglHoIeCXwlWAad/NJwnCUdS5i7g9QGfli0bu9VLWY5QRa5rzBY0RVAUM4ZjG2XHdOy+ww19APOiA3Now9YvEFiO1gIruawZa3n1S2iAxVM+KT+T8HYVBTHzwtrmZJcnzs/Iaqeb5LsmY8nYZS4/U/8+N5lSUFhBTcCx6KiKwhVNdhXanFVwwfbrTmtrz+sYkqxvOREcG7B+fHczON4GkxaDIy06cUpwhKBsg9kXcdyxx1CphM9YL7Qeg3hjJ4QjTSHsOPBkE97eU/irgSM0ZkNTVCimDf7pxKm1e7zkmLA7Bgx7ALPTgjXyYI3O4QZwTMX4luinGUUnY4uLZ6dvLjms4X7LVxmNk52kWTpOS1qgmG/y+HQMGEifT36XXbBYDkuMVU0ejymcy5+O08syhGIDQlmCVClCLhehBm61BlkQwH3PZY93/OZWg3cMCauF4y0waXE4AsJxC8L+Nph5AWEUJGQy4IhoOI8Lby1wFKApDMrIgXT6CdXzXmQ5Drmh92EOhzCHDuzuOVzHhWslXLAb4WneOMOocrJwJhC2qmz5A5HPohkyU/cqZcll3UtFNJnppgbm3+jGxzd26r00s9YHIV80mSwqrFCBWJYhaTXIFQ1KWXO0gsplHy4HudX7aG7toGN4a4Djmpm0NBzLIo1xrLMQjmC0H+uU5ZiG4z68vWgXwuu61R+akLdVKEMOjTtmgQlMMZnMCY6dC7dimKI9MJzAre72uUFwJMsxgGNmx1gsu3x5eVQ+NY5RjmJRVmztpM4jcz/sXP7krYnGOUpwg+NJvSVfcGl3V5wc9A0xzA4rUC7tz8T1NCd+bJkm71V6Mdtc/uWunGn9U0JGBKtXIJZUW65WJKkkO6qmuVqQrZbIrXbZ7o7fbGx5HZvLo1JvaAi8qJdX4VZHSyiSwbYuJk3A8c2bN+z169d48+6dsP/yJYsTMrTQLa3leAwI5Q4EqR5mq4NkTAXQ+32mlct+IZpXTa51PBC8A3gyVgfHC1svaJKmeY6lWgLjpy1WbXd42TZhDxyEMcduaDnqXTgOudUZlqMc9cw0PLOOxx153vlFjZRcfqiptP7TluM8gzF9Pqv8vHoyLdE5BuNDlS/JECjmWC5CqhRsWS0ytVLiqia4CiSIHgN7si2eNbbQsTlGpR4MYRd6GbB+DJZjgPcduzohc5dMSsER7PVrLA5H2jahD1aml3wZPsUdpUqYqV4HHEtqXzU41zSB4Bhmqz+foHp27lYtW7T6JgyDLEcTxlCHrffh2vZ0ttq0JrujIseYitzhVG9VUhQz4+4cXRd7u/PqjTvfvHLmA5dPcEy+0GhozDj2l0iu0SDkWeXoflhp652yq6ny9N2ckdXOqpds0eTMnIcsn6xGijkWimHMsVSylXKBqYUSjXXkMmQECZmdmtPc3uNtnUOvudCF4rJwvDsmZcARwv5LTFmOBiCYgHs6swcAACAASURBVBDsH0OWI82i6odDefq0ikqUqaa51VIttBhXaTmGcCxrkmMWfFcI4Hj6mVVbXV4xTdfuO77hGtzodm1zOILdsyTXMS5jjmOIpUyEVU+JHkMwQ86yzvSilmi6XJacX7t8K4o5BhZZOls9QxnzLLd0Peksd9b5XP4V+ndMJlO2WoFYKkIqVyBrBagVFYHl6Anggge2u+ufbdW8tlWQRzeD4+0z6VpwtLsQKN6osz4rl8luBPr9+XAcfIC/E+1AuOxQnmYTsq5CNTgiOCqqz2x+2pKqzXNUTcu1+6ZvuCNudEe2OdJh93qSM8tyvOxfWQ71bBxdf2ZLFt5y+ZOaCU10mj44a/hVHNsNXPGkBemAXfV9HA65Zrnk9fHfD16+ElriBMeaArlchayVoWiSo2kSVwQBos9ctr3tN3d2vPOR6+nbXB0ZVseQh0Ord3BgL+ZWx5bj1XBcB5Mm4fjLJOfXvzycbwBhH2DmIYT/6xlAK2EcN5uiJYqC3Giwy4aARWwMTEdyre1uuCrPLMtxdXBEwReiQeDHTq3V5lXLQeBWuzaMi7Zt6ZZk9QzMgeN1bbL8unVqgIZfUf2EyuTrQ1YAK2FJTgZDpuOXVD7OyKTrSY0UGv+cdP25/Ms7PaF/BZB8CLUyxGLkVmvlcIaMJkGhZScIjjtb4tnODs5HLvRtjpFhwZCHx4vD8Q6ZNAXH52/BPrwCm4YjREuEYAuXc6t1FsLR6PeZWi5P7DwoAZ7ZavnO9rYbJ2SuC8f/eHjI9VpNFpVtpe/ohQLXNMe1NXKrz85ZtXXOq6YLe2BAd4aO2e3y0HLU4Tg2PHgZq/5cu4dPWnxMlK+cK3xtMZkX3m/5wfTB5MD9RBZ5Al5pWIpW9DxfYtVyL+8NWTpIJufoeyRnot7E8eAW5PKn9BTEHDUwjVu8XmBSuSDJStHRyipTJe1yybKdPfGsXrfaliuPKtZQ93hRl4ewege0FMMCCRmA3RWT5sLx7/gRGyiKoPN9YQzHWhhz1Cn2GMUc1TJ8cq15GZ5FCZlOx+du3Wu7p9723p5LQ3lo8YmdaHvWZdzq/3gIrtdAO5opfQcFhVsFX2BBzPGM3Ooz1IKY48g3XJ3capg63QAXjjNcIRxnmSqBj7d6/M2s8YHIv+ncaoopmomslhLYoLf4eQjyFcDzIVQ18GIBUllzZLXA1VLJ1WQVsiiIwXqOW7VgnOO55WJU4dA9CzeG420x6Wo4AsLfHYENFAj6PgQLEILZMREcOcCMFBzjxW5FDx534bVdeNt7WAkcXWegmtWSpjiXbvXpZ6fWbLOa64hWZ2Cari4aPRoMTnC0ECRksrvFcjG/bAqm0tnepCUJIWtl8Fz+rJij4IX3zBctxhKWX9Z9zCpH1s04uzyxaO3kHOtl602Xf4jyTddikiQLVXKrCY4VR1Y1rpYkgqMoC4LLfQa2teWf7Wzz1sg19QZXRjeG4y0yaRqOAPuAyK2e0xCn3xeCDRIoJ9OP9o+JVgIP4FiHJ53Ca9nw/vYA3k0tR1cdqKZ4CUfXtaVmi1WbbV6jmGNvAJNijt0eTH0Eq5/HHG/RXFqdqMwZMtcWEb+EbtmCvIxkRn/dH/mk0YIAUVMIjrZUbjBZ1aCWFa5KkqsIQcwRbLvhn94YjnfEpMXg+BRCsFwZWY6A4PZ6wUrgEsosACN9IjjScJ6WD1+swuNYNRyhDh2jUBRVzVehujakZgvVsybqjuXa3aGoO4ZjkuU46tu26YbZajsdc0yNc0RqnOOUmzw2DDMsvazz6XrjzpLLTxmMk9AgOM5aScl3LZaM76bnVs9j59Rc7NQqPfH1gcU5Y+JALv9S/6YLJkkQqqXIcixDLsiOVixwhWKO4dxqsO1dnG7VrHPDlUcNjutZjrPgeAtMmg/HcK+YFBzDoTwUd5yAYznYjtVvdRNwBLzW8aosR4IjCmoUcwQkfnrq1JotVncc1x6asm4OYHT10HI0XTj2aAYc5/Wi/PydaoBREo0+UV4lHkIVLCU2K747ldZOp7lTS5zFi+smmTzxwopO5PKDSNIs/dNtIDhWNPBaAZJaRmg5FqGqKhSaW00vo+0d/7ReNc/tQnHYcDDyitDl4yUTMmk43hKTloZjr9sVZVYNVwKnmCMbMNpMQi2FK/IEcKRwESLLkeAIeH+LVbjVk3D0HEjNc1Y9O2UN1xetge4apu6HcNS5ZfbDbPWU5Xjdrp9e3WfhFcSvKzB13QORz2B5oLUL0h8nkY2eyGZbbKJ8eo50XE/W8VlycvlX6592nZAghG41pDJZjgq0QhGqpLqK4NMOMkCj4Z9tNbyWIfijmu2ObG7plVrN7AVRuAWz1XPguC4mzYTjDsC+p3GOFHNMUbrXhShXo5XACY6DMNlAcKRsdb0cTh+koTx9cqtTcOy8h19/AW+pbDXAdUB2B1CHHAXVQcF1bQ1M4s0LVM9O0XBc2EPT1Y2eb/ZMbug6LNOA4zjw7LSLRLeFPtKKoLVsNbn8K/XPbCtaAFWm3T3DTuoE09UQGnhXxBDTQ4DG98bCGKAZC4GE9U+MbMzlZ+jfgoyCYIlaVRZqGqRiAYpShlpQoEpS6FbT/oONGs62ttEyHHNUs5WRzaFXalgajnfBpCvh+AUgaBEcz1oQHRGCS+McZ8AxACRNH0Tft33fFz3P82o1d5Vw1E8Hml0taZJjFSHIKo1SO/vs1M7OQ8txOIJujGD2+jBH5FYTHFdgOU4vEHG74wwfmnyFwbPTVvKi7nT6RZW4ThItZiey35IINpYzUS5xfBwnnvEGnOXOPxD5lK0uFmVBLUKscUhF2VGUOldV1dUURZQFMVyyrF5xznYe8abhYFSTMLKtm8HxNpl0bTi6/X64PStKwf8wiOEYrgRO2WqvhrXAURgNSqJaUmI4njbZluvDGppiAEd9hMByHMSWo7GaQeDXzq+saBzkQ5E/ma1OWXKTc2amg4tRqDIJV8kFs6auCyk2jqe55LLPnXMzQ166fWEt91++HMQcCY5V2ZYVmSlalSsF2SoUFFGGFI5zrFWd5u4eP7sNOK6aScvDsQ5Bpvh2P0zKBGCkD8GR4o79OXAE/Dqu51brA2g2hyaMrBJEpoqyJH7+2ak3L3jDdWENLNdwh6LRGcEYJdzq7EHasX8b/gQ75WenvW47CJNcfi7Px3+F520uTcRrpMz1HHP5SX3G+md+NDY1bZllhC8u3e3JApIAWhAruBdJhEmCxez0WNRZdefys4f2uhbjBSZoBEdNkooSFEWjZExkOUrgnm8JWzX58+4ezgwOWnhiPZbjmpiUCcc/fYDwu+dgU251qiEmwoSMUoKv0nqOCTj2PXiiC8/cgRsnZGh71pvDESWIUCHb/OyTV2+e84brEBxhuKZo9EcwDLIcB2HMMZ4yNomixUOOWdctW9+y5eP++tDkO9GqPMmX06UOps1wCTKSSTeCop3EYQTCqeORpThbzuTzkctPxxdkcMUWNU2iWTIhHEtBplrTKFtNg8A9l9XLwunOtnemi/5omyvDm7jVt82kheD48fRUtPf2BKcDYSj2RDka40iWYxKOGAwglkpBQoay1f32GuBYgia0YziCn31y6mft0K0eDGC4hmP0R6Jh6L41MKUAjrH1cBmbT+FGXjAzY827bkH8za0nw0Sae939kE9u9VQSLcqfJX+h5FrMTs1rJ83R3UxrIjieKh/EHGeMZ8w8nqr3IcunWUESZ6FbrUaWYwmqpkJTOS12K4oBHGviaaMxbFoCH1Ysd8R4YXTdhEwSjrfBpAXhCNHeg+AAwrAXwbFcZtIgyGhHdQxoSqu/Ljiet9sKkxuqXYLmd6wyE1iQkGm1pdpp09123TAhE8KRdiG07YEHx7UkdwqOGezJD/86NDDOVssykvAiaF0mkylfGn1keSLLLM+4bqKeIL5IwcnLGGPW+Vz+Zbx+Qv8yjTKGUC5C1CRHJstRrUJRJVagcY5hrlpErYqzrV2cWS6GFWsUwBE6rE+f3tuPX7xw564ETgtPAIyy1ZNwXD+T5sJxcHwsGNKBcAlHiDKNcSyHw3nMaCgPPWsER9vv+2K57CUtx6YD73f7cA8PD6E8e+Zdx62O4WhwoyDoaokJUD1Bl1pncq3ZxlYARxO6M4LZ12HoF449BLddfXULT6x+PcflYPRQ5Av8qvnwgO/YjKXiuhMxxcT5rONpJzF5J+ZN8svl24ziwzTOsVKBEMBR44pSctQAjhLB0Q3gWK34Zzv7/DSAI8eIFTDCyc3geFtMmgvHj+9PRO1gn6Xh6LFBsCJ4mKoOP1fB8Tfmkdd3nvrKMywNx2+PjiS/UpFtR9G8SlETdJSYAtVzHal1xmvNjrvtOLCGFvQg5jhwTL3PraFpO64vuatfsmw5qOWll9OAECVkfAfMToxbTCZYqEaCVFjzZVhkonwiEZZ1fKJllGlMTDXN5Wfr3xLAOIdQEm1eKDGpKENRqkzVuKjJBciCTwtPiKxWc053dvmp7pqjOleGpt3V1VHV/PQJ9uMXuJbleFtMyoYjIPwOYB/fQ9RegF2026IrCIIv1ASyHD0WbpdAbOTDIXP8oh/CEb5Iy5Z1u75TrdLrw2uewPuNCa/v4NpwPK88lcsONEsxCrKoFgPL0YXUaru1ZlvcdkxYQ3KqTd8Y6NzQL2APGWxHnxFzXK6vzig9K6KVLLZgDPPa7bjf8hmzPYiTGf+xquaN7Enr9Kryos3GcpLlkseXqW/ZkUAbLN+m8fkMYkmGKJcgVRRHVStcKUpuQdREWQC4jyDm+HlnFwk4QldHuB4cb5lJS8ARIg0AL9dCKHYH4X85GzKgCMeHTxlrylaHcITvVDETjifv3vl4+dJ7DfhBAxibnqoUmAY+ewUI3x5BOq9ALivQLMcoiFwocSYrpgup3XZr503sOK5ojUbQHRNG34BpDGCZJhzXh+tcd7HbBfMbU9H/VbHxgcoPhvK4kVWYhCRN10wODqcysyA6VW6J69I3M5d/2TcTerVo4QmyHIsQCyVIBdlR1QJXiqpbEGhPXAdcEIFa3T/drvmnpiAN6xxD014lHNfLpEw40tYIpQnL8bIhNNjSZOUg5shprCOAIYZQfN8XSqUg3ng1HOHjJZaGo6DQ/jEouNz6H+y92ZIjV3rn+T+L70AgIpnBLFalpKxWSiWRpaWbY5LJWhe8mFcoPcK8RrFep3k798M2m7EetUSptDAllSiJqsqqzGRmxobFt7O0vuPugMMBDwCxsckAzCRWAA7/kAfwn//Ptw4CxsIiY97JGTs8OcWxKlDMyOdYK8c2HMteobUtfRr50Hei5TxH1rlgqQB/vUjc219el2odm211b9i5u5g94WnLS8bMGgXaF87e8rwr3+U9tF94VUBmICAJjjRcKwl06AWI/IBSCEqaXI3R0L46fse+JDgOy3SmZTS7qnK8ayZthuMLiOg92lZXcPTEWLjpg2zI8gGYnDZwBLXisHyAORwvzKlhmibrPNS/8eViW/3i06vDkU/zBEmQBAxh4ZQjDk/ekHLURZ6LNJ8hG0+RZ2MURb2tVo3a2LQbbX71y6y78uZ3/sZdz7fr8Zs+4a7n2/X4G7ZPARnrlOMqdbo3HrfB0GDtYFVfK7PV49o+y7XJPytJQXv71c2GlGMUgYcehPTgJ0MEg0CHYSwij+uQUnkEB0YHePUgKV+pwJvcGBzviElXgCOEmU64NwDLGWMJEndpTCkg42qrJ5bbgeEG5sK4vnwmfYgKjk9AfklzPTiCTCaeLqNCM+/0gh2evMUxdQJPsyIrpiKdlNb5HAstS61gVrfVuyk2117E9T7oKsjVGpp1SmiVHXv7l60To2j1tjeyTWBuve55wNIugpcM65Rl3/M72Fp36LfKvgdQQCbgjXJUYSJl6MU68jwTgnPBYdhoxF8+fE+8zHU+PSzM9EaU4wocb4dJm+EICPX6NdfHx1zTzOoxfRDUcARLKjZiOm3gCMstDB/CiFOYswaOVZeeG4Gj8YpBEPphkSnv9EIenr/FMQ3YylKdFkqklAyeTlEW5HMsr+Fz3PJiWIXnlm+8ocO+bfYdHOlB6rENLxo3sc5/3H1+09/NPa3xa5JCbZ+3/fre/sLn2F5XDiZkpRyjCH4wRJBIhEGiYz9AIKwQFmCjEV4+fA8VHGUw1QVm4Qj5rz7bPVo931bfEZO2hCO4PsZaONIW209gSTpSUIaqYzbCES6xdDef4xP4+vU0DmwSmwQD6DJizJMnp/ro/I04zktd5jOkhRUzt60mOGqUKlsox211Xm+5Xsd56ZEUaD02iZ29/eW7Qd86k8/xsrXc5DLsrZDpqZzp3qOuev7mPPfBfsFLJqXHA68KyESeCpNQht4QkS/h+jnSaNbRSLw8/g5e5BrTQ4kFHIHyu9gtlWcZjrfPpBuBo9tUzwBK4+FxYrpwPHwIN551rhyvCscpYhquZWQFR6uZdzZmh2dv8S7NkMkzkWoFpxyzHOV0Rv3B5TxavQ8i34xU3dYpsO1x3U9FGQb0HPkd2z4+ycHWZR5U/snqsc3xkpesfZ9r3+Ta59/b719/W+c5EhyjSPlxhDCuxrJGQiKgXTcXYIMRXr77HfGrdJbPHiTBZK4cbxmON8GktXA8/ewzfvThh8xFq52EBR/LU2E550M+4k2OY96MSnAex2rAFrcVHAt7YRN9oGnIlsL14JgAnn96Gkj/KBIUkPH5gHMvtEx5Z6fy8PQr/ai0Is+mOnNwzGyWzWQ50yh1tkWFzK5XcX/4u7pCO4pyI5L29peWiAIySzXUbcXXWnuC2jLklmuqnYJrDvC8lfDOksLb9Tj3Nd9j+55X+RwDSCmVPxrIIA516MWIOUNAL1PPsjYch9xMS1nORgcH2a92hOPXwaQeOIIffYgOHCEs5TmOwE2d47iAY/XbJjiWk4mNHg10cQGbHIA6Xt4sHFWeUEyc4Gi08s/OSDmKdwutiyyjrjxIp6nI0kKVaS5L8jneeIXMuhy8jQS8wQO+5fb7ttVSg80zDy5pMNFVmFKXTPUllbe+FjquUZ7rtvV7+631J+UYgAV+C45SR14sIunpUNCYBGFwlPCXD941v8q5mQ5LgmM0Gx3gCnC8eyY1cGTWWvykLvI+/WzxQT5/9UrGjx6x8SnEAQc3BEcKzFCl1XTKKQG8eTg42oll1hpuh6aB48mrV+bho0f6qtvqSjkikD4ioZAUEgM/pzEJ9bb6BI+KAkWWUvkgsmkq0iU4drk0/+VvKdnmqS3b5TmuJCZ351bv7dffyPr1Z7bULo2n5QdRrUOlB9BYyeYhPW/l7+5X3n1/8/oiA2HxkZoA197+YhVX1h+AkCUPI0+EngriEEESyJAlOg4lAkFjErjAINavHn3X/DLXlOeIaSkxE+mr/OLRo2KDz/FrZ9IWcISMH2EOxxkfC8tYPZo1YUU6c+fwo9gFY8jvSOoxjAd6AUeYh49ws3DUiMCUd/qGHZ2c411dUCoPMpPRthpZNlPVtrqUmtmb6QR+g9pvf6pLVkAX0AQmUnJziLWU3xxezYuXVMS04UfKr6mwWX5+UWmz8nxto6089/ZB3ZKYTMAolScK4ccDgiNCFtB0UARC0mhWzYYDvHz0XfFLCsjcHBzvhkn1j4/EHnqUY/eDQFiqq679jQVVyMwIjlWkuoIjbBjjduAokWRpOfQFi+gSOj9lh29PxSPq55hNtVOOk6nN8kwWJUWr8+vnOS6u401Kc9PrLY29BIdtQ0Wbzr/p9W+G/apCput1XNfQseVTdC+317Hv/a3nXeLhGkpXzsrWC/V5u2Folze5OO4+2S/p5iXAgwjCk/CHkQqTWDo4RlLXc6sNGx7wl9/5DfE8zzAdSkzLkpQj8otH2KAcv34mrYcjwPMvvuBDKdmb6IlYVo7r4UjhavYwNgRGB8fvQLOzM0ODtvLygb4J5Qg9i6UvktLwwRyOY0m11d9xFTKFmKmJzqeFSPMcxays8hxXfI7dvdSKFLhlYbe3v7zAnfXn/5HisXRAw5+ee0g3qryuEmapjLDvXtRnZ2+/+jpa6+aUow9GAZkwhB+FOkziSjlGlMrDmQTnGERuW/281N4kKtOZldH0SnD8Gph0CRzBhxLsTQRhxBtuHz7kBwCfjdfAsXHX2KllNnGArOAIQ4O28hIrcPz8E9gPnsF+/GPYTY0nGp/jHI4iGPiGttWkHPXhm9fsPQ2e5ylSNdHZNBOUylOkdZ7jzW2r91S7lGo3dE+Zz5Bx59tCAXbj0CulKPUHW3l+g9Lc2+9df7oShCh56HnCwdHTYZzoiEd+FPkIXFceTcrR0rb6eSkwiabXhePdMmkzHJ9AmDcVHP2LC2HYAW+21TYFR9zadFpYZrEWjqJ8buTjx8aVDwL2anBELH0kpUALjjh88xrvaSDPC4IjsslM5bmS+azOc5zDcVMpSZ+CXPHab6BAn529/Wrh+tazXh9WtgIybTZ2y/rWKcDu8Y2vcg1j59/iZZUye/uLH3tr/UsOFvlg3K98jg6OQxFyX8eRT/2wjccBFkf25Xcei19UcMQsT8ezSA6znbfVTjnWcLwjJm0JR3D7EEtwtOmUe0my1G2G/I0sqeAIOzaRHmqnHB9Ai+cw8jGuB8cAsVRIclMOA8EiSz7HMTt8+4a9pxXP81Kn+URklNLjttUUkMm3yHPcWfFsouVt79O/3fZpOILqTIKcK8huC7F1ynLtnrzZF7ai3NKDapayaU6iSybhreF3/b69fVdOSNvqMAQPPOXyHOMkDGh+DPfLOAwQeExIy8CSkL9491H5vOB2Ikt/ytLx7EIOs2hXn+MKHG+fSRXcLAm+VkCm54OYX44lRox7gwGzVF/NwGgsBOKY5nlUwRhMLUsSgzFMpLECx5Nnzyzef99sqxw/+vRTcfz0qXeUPPYxhyOGgUBk62312xPxni51kZVIi7FIyxnymUVepEppK7UqbiZaLblauhnQ9+9+KB2nfjcHfFPO+LZsvi/2uYDCmjZvlpWM2Z4muK1FpDZ6VMo6f4ruVZvuJ3TwhuP29hfrT+CTUnHfh/R8eNGAhXGA0PNFHAQIBYPQxrDhEX/x7lEbjphdSGTZ22flB++/r3pnyPxvwKTL4fgU7A1oW11Rei0c6wFbCzhWuY6+Heg2HKefvbAPPnxPn/yHnxHvYwc4Qhw/hZcMzgLfP4yYygdKBgMvVzH5HC/GcnT6Bt/VJYoZMNMTnU2mIisU8ukk0wRHz1YQW30sXzHKXR2LR1f/qc4Vtnh9eb+86pncbr++t1+tE+elqnpg9vkEu99kFUZuErib/pnLweXlqHJfxupaH+eK73Fvn5Q9NZ6gJPAwUP7wQAaBJJ+jiEKJUHIjQV63BC8fPcQviggTqTFlJ9eE4x0yqR+OAB+iC0dIjKqOPHPlOJ8+OCN0WNjYkIL0LTpwhH3wIRZwBOwHP9kckPno0y4cMVASczi6bfVX7Lta8zzXSFWms+lUZLki5QhlKFq9a56jrhVirQz7wjC3Fp655/Z1kwROSt1Iu6kRBClqZRY3wO7fDcr6nu9tqru337/+XDEhJPd9JcNA+/Ew8AOJSEaIA5SRkEKAA9HAvnx3ZH6hht4Y03SWyWhqaa78VZTjHTNpOzi65sykHJfhaNMZpy1186jgiAUch9WYhBzQ08/WwPE/jv+Y3nPJmIQFHBFwNYs9P04cHDWccqRo9elbgqMtUi1m5UWRz5Sf5jNVFDOpNLBmNOt1sda8f1VbLmuK7RRjtZ/b5fHttk/b6iVlV2+xq13v4ruTkFhqRFFXIrnj2i3IaneIO57eX4PUlRm2f731/3bHLY1jqBo67+2311+C8Ndsq4cDHfqBcHAMmQmFhLAGLErUy0eP2M9V2ILjEFn2DOUH72O3bXUbjnfApCvB0bIqGGNndG8AyjRlXhRZgqM3ndpZlBinHGs4nrx+bfDzY7OiHK8BR2jEVit/fM4OL07Zd3VJcMRMpSKjcQl5rooilUqrdXDcBUSbj7WmUpqM923fN5/jOkd82+yzVp7jUsVKj+uw6yqUWjFVq/51rsSV4zvnbd+q9vaX3UzNeliuGCWB+wwyjKVHeY5BLEKCo8cQctpWM7BBbF88eiR+XvBiwkt/mklM7S3A8TaYtBscx6B/sEvlAZtxiZgRGBFH8CxqOMLOIkq7HpvAGJ2MRvrkNQwUzIP3OtvqneGIWCAfKI8PmGFOOY4n7PDiLfsebatnmU41wdFglk1USXA0dKFddcBWl1jz0GYjMXZVfNdBIF3BHcUrv532Of1aatfCEuTaNeplay28ZQVJihD16933txUlHVfWxzXBNQfTS94//wbvuX1S9nM4JvCjAIEf6sgbIPaECDhKj3OBiFJ53hX/XnBMeImbh+MtMmkFjvj0U/7eRx+xfJ2EXfog4BJgZT1gaw5HCzuzDkcmMKTaTk2mjvQcjnUvx8/J53hFOBaeHgrjuyRwguP5a/a41Mhnms8wAfkbqwqZCe2ubhCO12Tb/u3brUA7Wt3eXpMibENs3dn60hkvS3NszmPXnH9vv6UcW+tTasVEILnPlYwi6YUhwiDWkfRN7Puez7nxOKNttX1x9I75ecG9cXRFOH5dTNoKjpOTE5FPJiL0jgR4lcpDCrINRyBFObU2iWIzS+BSeSo4wmSUmNEox+vA0UcsNAaFmQ0F9yNr4I/H7PDiNfsetSxLCz5DIdKs0Fk+E0WaovI57hqQ2XgNdxTcSknzbSu6b7d9Uo4EqvnXQAq5Vs1tOFqmGGtlIlB6Sfera3/39Hr37+a8SwqTztNW6Xv7K+tPosj5HKnxRAQvHCD0Ax17HiJPspB7kNyAxUP+q6N3ygqOAtPx2Xgm3xumu/gc18HxLpi0Bo7g732EJeU4OYHIJ+ciPKLevtSRpw+OkU0irIfjMcwDQJ9cA46Zj3jo4IghMypmHF4Nx8cFRatpW61FmuU6K3KRzki4BQAAIABJREFUpxkqn+MNwXHpgm1dhZvUzEbWbnnAfbHPLN3TrnGDIbC2fI5bLu/NHXYP7JNypGa3vlf5HL0YlOcYSaFjT5pQeFXLsiSxLw4PzM8LZsdJ5E/GajyTw13h+PUwaQc4QoRHEKQYKfnb+R7TlJO/sQnIUApPYu8AjgJDplVMynE6ZqPTE/aY8hypK4+x3izLkRWpKmaUykOqte9C2dWH1z2+uZwa39+m16/rw9x0/k2vf0PsC4bS5Sq21WP3s7e/05WWZbXq9CQa3+PSb6DlU1wh4tJ5l5P+l4695/ZLTy58jgF8b4jAwTHSscdYyKE9gmMY2xeHR+bfVZlPhqPBeKwwk0PsqBz74Hi7TLoSHJFOuevpmMTu/RvheOS6rNycchQYolAJ+RynlAR+hsc6N0WWWaccc4JjgXw2rn2OPcqxt9S5k2d4c5Ji+Ux7+9V6dBOrXECm2yD4tr6E/XmvtALkSQoom0dChATHGGEkEXkJwdGEnFOKOEcY4sXhEf5dlZNbheNtMOlSOKrnz7l+/JhX2+oFpYvsjfDwkHkJqmg1OR3q8sEl5TiEZqcw2RH05NUr++uPHqmdt9WAOAa85AzBVKfJ0PJB6fEht1W0ejJmh6dv2K9pizzP+UwXOs1nIstTVZRlncrDl8sHVZ9i7CkxWxWGy3mGi9eXT0D5cu7R2SHu7fdE3eunXUCm9Wi7E5Z8jhqMtfIR+45rTiUYmG7dKJ2Pcq0vs+ObbCnYvf0qXY3WzvkcPUgvghd4OiLlyELjUnmEL6jvKwtD++LoWHypFCbDCNdWjnfJpCvCEcKLwWh7XTYVMhT9oPqYyJqptcZPEh1QMAQwGQiOsL/+CFeHIxBM36bJ0I8GpSmHXLAYWnqTsa7gqFHkJZ9pTWk8yIsceWqhdL7Ic+xTaqLOU9SdPMVtvV59eYbbVtbs7Vfb12b9uYWaB1fcItYreZ3UpW6AZcXF0HpiJdFxb7+6ybcWxigm/AqOMpKeFyCM/da2mrm0PxYE9sWD74h/W4EjUH7wH1/sNrXV+HSxre6H480zaRWOAH8PVUBGPQfXj7FGOa77IDS3OrVxFJmphbF2YgIz0OEB9E3A0Ts/D0s1ioc+HByp/w9rttUn+DVdmiLLbWqsIDhmeYGiVFAm6y8fXK2V3oTD61bWLF+Re/vrlTb5HJsUsaUVq29iroKlvRsw5AFf7A6kAVt6vT7JyuAto5hak7gve57H3n5dKSShJCB4BUcRwI8iBBE1hvF1LAQLuYSAAQsqn+OXqrST0SP/YjyufY67wPFrYtJ2cAREDohwXAVkiqyCI7KU05a6eVCFTGxRwxEG52Mz+t5Q3TQc86I8IOVIcJxM2OHbE/ZrtqS51XamAde2LC90UZaidAGZG4pWb+2cuSOfZe/n+YbbN0Xtc3SlLAsXxiKjZtWtMcdsSyFKSeWC9aPv+Y7XY8njsrffv/4UqoYSBMcgZr7vI4giEVE/R6+Co6TywYDyHB+af1OpnQxGZjwrw6kLyFwXjnfApJ3gyCYTyRjjSBNewRFcIa3uJnX54DIcYUbfgzp588YY/dBcdVs9fPHCH8bvBSWl8igMCI7G4Vn5swkbnZ2wXzc5iqK0zueYpdSVR+SkHHV2A6k8vZGT1m1hiVSbFOjWmF32Wfb4RFdDGt9s+5zqW1oBGaEV02syDrplgHRcd2Xb7+ueR7R8lu2lped1y5e5t7+6/pRNIAJwjyvPi6RHyjGkPEfBYu4jBIPkAiDlODqwXxomx4Mou3E43iaTdoQjJKMNTArOWMplHDFFARlEkFFVPrgejjBGY3c4fvwx/+jHP+YNHDOdJrEXJbbAgRHUeEL503N2eHbKft1q5AX5HEukZaqzQos82+c57kjhyw+/qzxLXkItttWtRhOkBFsUW9cIogmAtYNepCAbCblaK718/tXj9vabX4VT4s1yMOrKA+6Rz9FnfjRE4PsiCgUcHC1XntAcwdC+GB3af6vgiPGsxI0qRza5PSZthONF8FrY42NO2+rmg6iTmfDimEnCU9pUJaRAFBk5ndkyirWlEsLzRjneLBxLiwNOAxq08rNzdnh6Yn/DtSyjJHDwWT4TqdtWK6tMTuWD2/Vz3Jx43CfdNknLm+rOcz/sC381z/HSRhJrGk24C9p186nX7LK8xL57QkuJ7u23WsKRt8OVD4J7UkqXyuPr0E9EKJlJ/JAHth6TEIT2xeED8a+qLCYHI//iJuB4V0xaC0c8c7NhON6CzwZvBHtX8EIIEfIDQcpRsZnwWMyofFC1otU0mjUykaHaakmDUztwHKRfajx5Yijncava6o8t/+jH4MMX8IcxAqcckyjJ83IkDHNJ4GnKRmen4tfJ51jmOi21mKkUWaHhKmSMvkJtde14x9fUZadx/N9X+xStdmDra4/ThdmSb7COqi6cjYujWwpyxQuy7r6zt79Ypm7FKnczqzkPIMIYvid06A+oQsYkHhMhJCTnHEGoXxweXh+OXweTLodjAD67gGDvghcCIuSo4QhBaTxLcKTa6jSyUYgKjjR7uA3HhzCDL6HxBOZXn31mTz/80GxsPLECRySBVwyUZQcOjgx+OmGj87fsCTTyPLWptpilKdIqWi0q5bgSkLlq1HnT+za9fl0f5abzb3r9m2HfJYG3wNSkStGnb7eFo+dZe1ewwdXqjm/d8ChgwDo5sGSj+/ze/sKX26xfacAEBWQCKQK/SgL3Ix15Hos9AQdH6gTu+Xj58BH+Rc0wORjh4kJNZkjTFMfHxdapPHSiRrDdIZOuBUdQ+WArWu2UI5UPUirPZGI8NdBVQAbGLMER9vRDXAOO/oEwiC1TDo6nJ+z7tkCuSj4rtK6UI5UTUrSalGMDx2ab1B2bwJY7f+/sqNs2Ory3X//eOm6OzvpzoxQBanWoy2WdFlvf2lol2fU2dr/lPunY975LzncP7Kva5+jgKHTgRSKgxhMyELHwEQhGvkDDpGdfvvPA/osu5TgJsvFUqultwvEmmXRNONIWu45Wh5Ft4Hg+m1kZGu3ZgR4Nl+H4Vn1h8/OnZlc4hvoi1PFBXClH/4AZlTAmvTTVo9PX7PsUkClTpEbZWa5EWmS6SHPhaqubxhOicz0sT44Hmtf7n99Wma3H697+8rr0rbP1UFZw7H5hrWh0twb6sr+b02zbEKLvuHY0/L7bR9UJnEklw0j7MpChmz7osVhIhJycIgLwPfvy6J3iX3UpxkPfXNw+HG+OSTvDUaVTwZKEU46jF0VMZXUL+ZAmD1bK8XwGK0NobwA9wk3DEYOiKEeCKmQ4/HTMRmdn4oktTV4UOlOKT6kbeO6mEVbKcVNXnk1QXLlGO090odc0TFiXfrIOm3v71ao0sOQapbWK5sIvVV5X0dINzsE14w2qs29SjlUByPL59/bb69Zef8XAfCofDKSQnvalhyiKRcg9Q8ox5BySGcNlyF4cPLD/wmDGHjMXWoZTpEhxjBvbVt8Wk3aD4wGEmlZ+R8px9CJUcAwBZClsGBlvltqpjcwSHAFjUPkcr6McC2p1MYwSgiMHS4wHr5ixhXIskJaFnWkl0jyrK2SofPDGk8B7Ew5r9t1wnuEKUb/d9g2nUYIL5bjUhHY1F2e+Oq6/YzcfspUvPs9XbALYrJW/1zqvaD9PPsh2E9y9/epWU8ORmvNIX/tUPhgliJgwCcVuhQ9hAeb7/MXBA/wLQzH2mH+hJW4WjrfIpDkcP/7JT9jn77/PPvjRj9g65+dkNpYH3xvyFTg20eosBbUsI+XYwNHasRlqrWaHh3oBR9j8HFfYViMs4jSJB1FSZBhxqxKl4ZcZG529ZU9UicIoPisznZYFMuoMXuYUrbaaMUkR8t0fHQbRxbfuJPOGqzUTu/mAV+73eE/tG0PbalKOy4/5gKwN32RXYW79PjeAq3ms3oC2Pk9H4W79vm+SfQ5G5YNeIIUgn6Ovw/hAhIyzxPMRGkvTJsC80L4YPRBfMGDsMewEx6+bSS04gn3+PtgHP8IyHD0IJsAnM8iD76GCY1InglP5YBhB5RmTNrSlTa21kaEcR1KO9N+hhpod4sbgGPpiMCvYKLA60Ux6WcZGF2/sf6I8R1NiRsqxLJGVBVyFjCnsPs+xt3Hsrj7Uu8mztBylGxrfM1Cru0tuNequyNY0Q6KUrDo63apCBNVOz5+/BLR7+6u1V/Plomg1wVFqGUTCZ752PkcrCI7GVchIC+ZH9sXwgffPBEdeZGMFNZV8MNtmW/3xT75eJq2HI4XO6/+bUfI3wCdjyINhF47k/Myq8sEgtGUKayNqOgEjTQVH7/RcTwdaBw8e6AGg335xNeVYJAhDhST0iwqOoobjpIaj5bmmbXVqZ7as8hzzEmWhhZa6vqi3zVu86TzHXc+36/GbNPGu59v1+Bu2b0k5WkXluS0dtwBzF1pdZVa9rzre/f/6e3cNKVa6RxJL++zs7S90dGf9GRinxhM0oDqC70kdRaGJeChoVEII8jkqw0XEfjV6YL8As2N+MRubQEwaOH5CXw9j63d11rIlOH4NTLpZOALW4rbhiMHMlKPAeoky2s9SjMZn7PuqNIUpeFpmdqYKkRIcldJKF2KNz3FXxdS31bqqb3Fvv7thbv/taqtb0WrZinjRAIXm4XyDrbSsvuOab4ncIu3j6f3zvMfWebvH7e0v1ny+/gRHKOH5TMhI+KFA6Cc6Yh5LKM/R8GpbTUngyZH+gjNxwQszNjaYSA6nHO8Ejtdg0qVwnLx6JfijR7w4OxOlOBQRmwiVceE/jJmrr6bGE7XjXAZVtJrgWE5nVhirZZToSjmOdPAAC+X4FOYUu+U5NsqR+xgog1FgMYfj5I39TW2Qm5LP8tLOTIqsNKQcRalb0WprqL0kwCz5ihcPy+rneef55vjO812h1Jy3eZ71HL+3v93681o50nq2e2wKB8xt8xGXIye6lezd9M9cfI8Sfa/v7S9yUtvrT9d92+cY+ghliIjyHD1pIjDjksCD0L5Mjsp/5iy84EV+bTjeJZM2wBGCPwIvziBKgTkcWcI4SylaHTGVN9HqDDYITZmm1prIiAiattbeKfR0gOvBEfCLi2pbDRRDI/0DYZFYo4M0xcHshFVwzPks15iZDFlZIs9cQOYmW5b1ZeZt2lfe1Ov3w76bIbMuz7FRkLTtbyfy0/PtpaHAWTfR390VN7xvLkk752s/T/97b59RCZODYwwhPfiBRCQ9HUmPJdR4glvj0VKFsXyRHKl/5kxe8AJjY3Et5Th5dXdM2gjH3DsRgj/gFRwhVFYFZCo4up9bdQ5q0OYCMjCU0iPsDcDRWv5RNT/bwdHT6UBYMdDgI4IjOPPziR5NLvhvFiXPmebTLEfqfI5l5XO8WThuCblacWKD4tzybLsf9g23L1rKcV5f7vygtS+x8R03vtGlPXmr+qatNNv+5hUFekkR9ZKtvX2n3Lm0LpUHWvBYCMHhS1nEccBCJpCIUAScw2ua3YaH4mc+w43B8a6YtAUcQf/4BRzr+mqCI+OZm6CzDMfI2BD9cARsji231dbyDz/7THz3ww89gqPW6SAhOHr+SBiVwDA/TzG6OGW/WZSmEIZPs5lNrRapg6OLVvcrx6snX3cVXJdfK2nhawG3t18tS3c1OVMlmFxOm5of1E5IlMtvXrfs7ZN3FOby3OtFQqR7vhu829uvf8N1oIuBeYIJ33d88G1ASeAISTm62mru7mSufDAe2Z8FsTzn05tRjrl3N0zaGo6zdCwPhkOuGjgCnOXgLgG8frhotVOOFRzNeGKSYqCWttVXgOM7jx/7WsUhi2US5WJofD6SQsbK6EBPcHB+xp5SXqMAn6ZTnVmXDI5caahCQ0smliJiGzentfLSHd+kqH2TXdLpjkIUjXJrDuy8vre/vIJdplmjSmtdxkSn0cRyo4jVRhJVHipFn9s+xL7jVs+/msd6WaOK+2yfmhFzq4UXQAYERx9hGIIaTyTSo36OrkKGeQF70cAxO8knoR+MrxOQoW11A8fbZtICjgD7HGAfVEndLpVn6YMIyANqV3YZHO0iWm2mUyMiSkYcqKlu+RyvBcdhEtliaGhbDSSaMV9N9Why7v9mWZgCFtOMOvNopLpAnhWVz1F2ILe4NDdiqsPBPsW4rAFXz9qnJPf212HSAoWD404tw+hMtfqrB0EtdfBuCc6lzmWXVLzs7be+nU4cbBGQgfShA56IIBJlzCMR07hqDhpIahiVD8aJ/Vk4lGcER30UjMPsTRo8fJhvjFZ/zUy6Ehx1lroSQo9FVelgoxxX4JjoROOacIR45/GrWjmuwlGnOBifi6elMoVWmJUzm6qygqO2onTKUdcQ2tYHuEH57ewE3NUHeM/tt5Vj71q3ygRXxxqA6TVNbrvHNTXwO3+f9Ib7bp9myFgIKh+kbTVPqBO4iaWHKpXHGo/6OcqYv4iH6mdM2nNbmLGObweOt8GkneBo0qkIOROMx5zgqCMwYqNGxgRCm2UZrLHGWBhuIk0R65uBI3ytELIYSVAUB/D8AyFUokoWlAWGkwv2W1X5IKZlblOVCQdH2laXTjkuz61e9XJt5yPsfd9cOG6rBLc9bmUD33miNvwts2+4KskZMv/H1grSuQy7Lsc1I1er41YbTQhyUbqnq9cEY0yLOn1rqbZasyWXyt5+tV6t9Xdzq31wybQnpfB4iDD0TcwDHntMRYZallkwL5Iv4nfUPzEQHL2xjjEOM6TBQ9yIcrxNJl0JjqagxM+IERw9ZC6dJwhCM4djVMPRQicDqCngZljr58+NevzY7BaQIeUIX8cImargSD5HXuqB5dIrShxMTtlvaWUKo+1U5zwtMuq8izy3y1155nmGW+Yz9h3fRVY3z7F5vZvvuLe/XT4pt6q0hjmf4xxedHFqTZ3n3YM1UKufXz6uOyBLLyDYOU/lo1y103yHe/uL3N/2+kMKl8ojJTzqysMDEYTCxNZDEggTWekuMuZ7eJm8Y/6RefbcTm8PjrfBpK3gqCbnQh+NREXpRJiCbrqZU46S5QwIUMHRdVE2Jkor5Wih1cCNuL1ROBY+pfLoAWfSKzKCo/1trWRugGkx0anWooJjUQdkervy7Krgdj1+04Zt1/Ptevw30z43i2g1zUtoHrK3BEZAtUpn3HE1RZf0o2tJtny+hcDs2Jm/f29/3forrV0SuAyEpDxH5ukwpDaCEVwSOGdcGg74Pl4mh/wfmYfz2Wk+8Q+Di5tQjnfBpMvhSLNhTyCUOBeaExyrUQmGgjIcXFOo3tVWh7ABDOU6VnAk5QgHx5m50Bda62OldJAfa/UYV1eOEklwgYPCVyNrMeCG+QTHjLbVBQrL+aSYmkxpm7JSUCrPPs9xEx9v4/VdfaxdZwGrAjJWryq+tmJs3kbH9Sm9Tc8vmxbU+39ePbW337/+TUCGlKOQ2nfbasZi+NTPkYdcw7N0gYb8RXJg/pFH8uxG4HiHTOqF4/nz50I8fsyX4MghQgZhKBF8DscqCVwFmRVZaNtwTC00v2E44qIYMd8/sEINuGa+JuV4Yn/bdeVRepaXYsY0T02OPNNVtHrez3FTemIXFL2tuzedqOMLnF+hO5LontrnBEdTpfK4h8u9XrfmncTFtrJs3tt+n1OUrfO0FOaSP3np+b39deuvXeMJwaWnPenD+Rw9ZhIReREXJqIxCbStFlK/jA/ZP3jSnqelGfvHwUX45mo+x7tm0mY4AkKdQ2TpRIrhgPfDEVYAlsoHeRhpM52ZMowVKcgLDT386o0ZJQ/VdZUjwRE+H0HIhGtdwfGc/bYuUBiDqRuVAJuaXOQq16o0q0ngfbXPcyXSU1O9kr9Yv2FTnmO3Gnhvf7mGvXvL4FaXllEzqM6DFGLL19h7q6HJhUsdwbd934bj9vbn6+/gSI3fOLwggmc9gmNJcIwJjrDGTR8UPl7GB/wfPFneHBzviEmXwBFCPIabV90LxxBM5mA6z1kZWKpmtWWaWRYEmhurbxOOzba6LDGcntjfMQq5BZ+WJZ+pUqea4Ki0MhT37EvhaVJ86qtMiVqq1eJinmZXP606xy+EzXKe40rPnea8qxf70jN7+9U6CkPKUXNy+s8fa5VjoyzXKMLuWncV41xZtg7sKtS9/d71n2+rAyF9CZ+HOhTMJNwXsaCWZTS3mmoIPbwMDsw/+LE8SxXGQkzHWZrMzh4i/3xTy7JOnuP587tlUi8cP38O8RttOApIQXeKLJUmhyjI40rR6py5c6zCMdJlCKXPxyaNh2r4FcwowQ0oR4zQ+Bw588sUB9Mz+4MKjnJapEiV0anJCI4oDfk+a6jtGj2e74Z7KmD6FOOudvqOv7/2yX8MjpYv8VLF2FF0FFVtR5mbdex7vtfO3v5CvXcUu6utJh4w7QlP+4j9gLbV3Ecs/Cog4wqcBF7Gh+bZTcDxrpm0EY4Xp6dS8COeCUjrotVcrMIxQBlktXKEpSZutJ0uH0LpX94MHAszjuThMMYFRpZnh7StZtYEeSGG2QWr4Gj4tCiQknIkOJbkczRr8hy7CrCr7Ppev+r7NihGGuO29Ljn9q1BAVKOc2neoyDX+RDX+Rrr54QU0C0F6f5ec3z3uF4Fe4/tuzxHT3BJokkUAY9EIISIuWcSpxypKw8lgdO2+sg8k8ye58y7uI5ybOB4V0y6FI7HwWuhpBRtOBqeCMshnIpkYIZyHAHkyOH7gaH6ahZA8xC6jAmOMGmMaytHgiOPvIRN+AgBH1noAefSzwsMp2fsd5hBrgoz04q21TbVJXJrRWnLls+xL4rarUhZcYJ1fGSbjm/e393O7+1Xv7e+danXzQqRw4J3O5FxrZlZ43PsPr/p7+braaLcZGfdeff2l8se2uvqgi0cXNR5jkwipImgDRxd5w4O5vl4GR2YZ9YW59qKCy8OLrIUV9pWExzvkklbwPHYdeWplGOVxtOFIxwdV+GYmolm5wN9o3As+AgeHymwAWfwVYpheiZ+xxIclZnpAjOleaoVwbJHOc7ht2Pe4Cbl2IXqxr/39peXqFKIFK1WZUs5NsqvpbB167sQQuCyv+fb6ise137/3NVx3+0b7cYkMF/IwNO+g6OkbTWLmcdDzqifI81RwMvBjcPxbpi0Fo5vv/hCvAyf8uMAQtHs7jYcB27kIt3bOS9yTgngFRwB/wCmpArCWWqYXwVk2DmuB0dAlK/gPzCI+FGWsIsFHJlBoAoMZxfiBwRHnRtSjE45MkUty4TzOTblg41SWJcrRz/6Ta9vZF2jfGpfVdfOpvNvev2+2AcTuWWrypGyBdp+3rYzYm2iDyn1WqUudS5rPe/WtLUT6J6/+769/XoXRdFqD5wx7fkMPh8iEHCNbmMmEHEGyatjXvoPzOeitOfamgsONS5ZMt01IPN1MGkFjkeffcaD0YivhSPlOJJybMMxCEDRaoHA8iCz1obGmNSwOlq9BMcfgAoSdksCb8GxOMqS6CIcwcOoVHrIOXyCY3puf9eAZzrDTGs+UzlSZmvlqKG10pb8SDf36FyKq+HpmzO19kzfbvvC6ILguPinCyo+dX8uwWrxtHuNFGT30VWUzXnqN8zPOK+lNppV51mytLffWf/K5wjOhJA+14GNEHiMJV7IY8NMJGTVsgwefxk95H/PZ7MLI+NzjunOcPy6mNQDxw/5yxBz5ainF8IcHgjLIMo8lZYz4Ych43nuqmTcDzOv4KjI5+hbfaNwBPwHY0QF1W2+LQ+Zz6pttVdtq6dj+7ta8ZyTz9Hwmc5tSmMTVFk1u2VWE89b19rleXbz6GXXv9WOXravws5xFBXtXshLF+2mXL3Gzj21L7pJ4M3idRVf3y2I+m72tqm7xn1rb3+uxF0qj4MjpM9RwdGYxAuQGEoC97iwCoyHeBkOzeeisOcm8c55Ph2Xx8n0DNun8lRwvHsmrYEjeDDCMhzFhShSLsVgwJfhSCWEVW01udB5AKsoz9EPNaNodQjFLCWBn+kH6lDL8oUu8tz4T57orQZsUSdwUo4tOPKL8tD3WaUcmfTLAoP83L5PMITi07LQqSp5CvI5aiofFJqRcmz7q+bXx+U+v9UClfWVMaIGL42rWfdoXp/7q/b26xVYv/7caOrNydv3s1VJ2HqGvltSNk2gZ96UuKUAG1PuS+0qw9a5OoKxF6XrJOw9sk/TIWlbzYWQHtcBCI6cxV5gEsMQUfEM9XPk0r4MR+zvCY7KMxe5DS78Y+wIx6+HSVvCEaJIJ9IKLiyPXUDGD8F4XtVXux9QnsMLAlMpR2yE488+/dR+9NFH5mPAgrGlaYDzH2QLjt4YUeAhIThyn42sYkPL4OvSDLMT8bsaJucFnxVap7rwZqBtdapdKg+sq96B6URJedPxu3MFzDlaXwB977up51cQsZxT3vu5v7X2pchhwKmL0aZqIvrqusfRNMnuhMl1xzVfe5+dvf3+9Sfl6HmgjD1PSFDqdyC0SWRgksrnyCU5RpjUr6J32N+JmT2feebC2uCCi5PZ25OT/IunT8tL51bXSeBHn62D4+0zqR+OT8GPX1cBGS3og0BaMZvDUbCMewjZJjiq8dik0VA9OISWL6CLHMZ/An0VOHo6G0iIEVPsEGADY3RgSjHILuz7xrpsollp7KxRjroOyEDBLrujNkWJ+16/6vtWPGFdHHf+vuf2qULGtqLVfZEXITCvmydItsZYtOHYPE8Kvu2DrPJLe2q225kJe/uL32ezXBRskYIzoandre+FOgQ3ieeLmDEazVoFZJiwr6Jj9reilOcz5NeD4x0zaXs4ckibVWk8VSpPxnnOOCggU+RM2MAKysM2gXHKMYROJzQgwej1cIT96CPspBwrOIYjrdShgB5aJn1TYpCe6g8seG4KzPMc3ba6EDTikyptjft9NxdP1x/VMxtmoWA7PspNx88lSc/79vaXdwrd9dQidxUyK+6HLYNqXZ+j8xW2Gx5veZ69/Y77o7VuTbQa2gNFXARZAAAgAElEQVSVD3osFJLHQqqEC0RCcmmNYdxz2+q/M6U9V9I7txYXXGD29gT5F0+xm3LswvGWmXR1OIbgLiBTgFEqD8GR8q79IDA6pWg1dKmNol7gaYQ1yvG6cKy21RUc7Q8teLaAI+Y+RwfHFeW46v2rnultg9Pjetr1Iruuguy+/1tqn6LVS3Bc/nc7BdiNJrd6dgpGYxJWFWH3fUu6sblhMc0u8UjWv5K9fcW0azzBBc0zE74XmBCSxx43Do7gxqN+joLxV9GR+ds7geMNM+lSOOI1xNExhL6gWupKOSqeSopReS5aDa5ds9sGjrB+gBYcI+pV6uCYmBOT5A/UYlt9FThiIIGRhjoUlg1NqQNVskFxwT6wvIZjwWfGIGU5eUHdcPgFHJt8tq5yaxjTV/nSd3yft35TJcze/rJyXF1/qm6qleMiksIZJUGsZhosw2wBRReEq/9sw7KC5OLRuFzIx7h6/r39Rji0159SecirSHmO5HPkkoUs4DGXKhGc02hWj8MwJvjLaHRzcLxLJq2F4y9G4IOn4Nt/kICSH22JCo7TFAaUfE1YiqBTXcGRPy+1OHikp7Nn5vVX75tdt9Vilg39IDwos+wBk2xgjfRtiUExYR9QErhRfEpDtoyCSwJ3qTwGpF87Psc+qm37/PqodOty2/ZEVzzuW28/p34hzeK04df2JbqLtRVkawJs7UVtXifwNedpgjzcUDCxWss5FAUoyrCkPPf2F57ZZv0dHLkWlOfIpPalL0IhTMK5GTCqrSafI+fUPPhleGj+zhbyTCU4t9nVttVfB5MuhyMgjgCR/XIsS49qJZlwmU2cCc4okh+Qd6fu3JHD2MAYpxxrOIZQBMkKjjD8+asbhKM3sDQvt8CgOLc/NATHkk9hMFOqTuUptHLKkeLVbXfJhimE81kvHZXSdvi3L8D5BVvb6Jsp07xnUwR2b18XbeW4oORCCa5zjCy+Yk2Bwrk6badSdTN1FopyOeFqcZxe/HRaSvS+26dAbFMhAwHfI5+jz2MONWABD8GMpPJBIfGVHJm/4YU914l3dm043iGTrgDHWNC/mbOc8wIuINM8yiy37CDQm+EI8/orXE05DsKDckzKsQXHsfihMSY3eZUEbhWfVQGZGo6uqGfdY1P0eZOPsNlwVJdlX57jqi9z3aXlnBMblOTV8iy/gfZzGhh/6WK0E+TXjFNovpm55lk6fqEYryjdqRxn8Zu6h/a1JI1Ub6t94TNuIh7xSFo1oNpqNLXVEl95I/PT24Xj7TDpUjjmb97I7zx8yJeVY/NBqtpqU+c58iCwBEcT0KCEULtt9YpyhBYH0NPZ1eDIT/MDHPADrtgRAyPlGFgtkvzU/J4lOBZmZhWbqUKkzPBMWZRGacPqbfWuCTLz47fs5ziv0e07vnMldtIZ56+uPH/P7IMh50Zw156/eXRLNNtr2WlSS1u+xfa79a13xx8053DvX4PJvf3e9Xf9HCnPkVoSSzg4sgCxpG21ROi68lAVjcArLyn/hht+Vkpzbqf6Qg7j6a7R6mZbfZdMWg/HD8HlixeCeZ6o4AhZeqAWRE41VsoRvCxy7hEcAxLQgS0tzdfKjJ7BCD9UBMeJazbbbKuvD8fygB/4OXvABRsYqwOlRaKm7IdGI0dmZtramclFisLm2sHReYXNUp5jb7/E6rfQVYDz6pqVTuA1xur/LOXQOR24/Pr8l7a3v0yiTgd2gmM7Wt0eoNVu5kHPd/9uTrzd830KcnXQVt95t7OzGAC2fPw3174CmGc1XVhS+PC5g6OJJeB8jpa6eLkZMnglDvBTv7AVHKEvJK/h+NefKPzZn63fDlnLPm4lgf/ia2DSdnAcQ5aUBM4hdJFKiCpaXTJUcKQ2UzQ/huBIPscsMzBWC23URFvNC60OByPNn18djuLlJJbFYFgelC04IlAaSTmxv0cBGTtFqoGpVTallHDNvcIpR1PBcdPc6L4t1qZO3bu+b9fz7Xr8/ELecT73rv+OTVvSXTuiz89HcCTl6CIhrWunfYdbdR4uPs669y3dkNbctPpe39tvrWvL02HALNOc0fRBAZ+DRTZBRHAUAUJTN7sVPl6JgfkpZva8DM2Zd1NwvAMmrcIR4L8AKUcI5kF85yF4Rh+EUnlSqpapU3mwDEdKnNF+HZDpg2MJLR5BT5/tvq0Wk0ksTwiOOOC5csrRWtpWI9EX9vc1eGZTk2rDp9agpRxFVT641oO17Ua7/n301vk1v5/r+jD7Ntr3zD7d6Ja68tT//naqVRv8nYYQ3dZmzbez8vyW55vTYcvj74V9IUDfkUvlIeUIFrGYRxxmwGjAlhuTQLXVeCUP8dcEx0Jk5743PJcc1bZ6W+X4NTFpIxyDh+BqDBkSHBmEzis4UnWMCQNGypEqZJSFlXM4VtFq2k5PNDSPoA7pv204vg/zEbavkHFwnA2GBStHgntHBnoomItWJ+XY/oFRJoeSU63MjLlotc0LjdJSpiWvaqvnj75odV+e44bodrsf4CY15V7f218fIGvWX4jMKipaXe5J1m1q2wojL5a924R2ft9azn/sCs/FYR2leklT23ttn4FZRwIhhdABIzgmPOLWDOCZkDPuuURVab4SB/hrVtqzwthz3/NbcITCn1FiwZpHe1vdgeNdMWknOKqMwBhVPsc856oelUD/NOUHlue5xTDQOrs9OOZ8dihZfFjBUfhW66Q8s39AqTzUlYfyHB0cC+QaKGn6oME+z3EraG990C3nWbpt9aJ8cFsltm507lJz2m6zXKbZvI9j698uOs/v7S83GXZL5YJeWliPZshQQIY5nyMXPKHaakZdeahVOFcVHK08K1Cc+/Zm4XibTNoJjuMslVEDR4ArilZT1AoBlI9VOAZQEwvNqaTl2soRMUWry0iPGjhyg8AAsToxf2jBMhg51aWhBPDUKJ7ZctGV57LrftuO3RYLx3r7fKyTKtQOIGzDm7395VQrSy3LmvLBJSG3XLbXLfNb7A7WjE1YW07YcmmKVgCtHZTb25//hJ1yb9bRNf3Q1GdBconAVcj4JuZMJrStpj6PxtCcGfOVPMRf3RYcb5NJO8IRMqqj1SVtDhm4Kap+jryGo/FhrA1cKo+4TThqfWAphUCLWJ2ZP6RUHqccNZ8ZZVwqj6W51YY298tJ4K09WIddV8szXOQR9imqvvNe10c596b1OCW7r3dR/b+pfYOcRnO0bzLtAVjd1aTj2q/TICj3L23RcylKTDe5+p++bfR7b39xA6NlVaAZMoIzajvBELhotW9icJ4wDgdH5qpozFdyhM8qOOLcj3B+nmEK53O8/rZ6nN0ekzbCkcszwcShIJ8jfRDaUjPqytPAsa6Q4RaWItbG5kZba7gJ1U3BMXv9OhAmij2KVkcYgakjDja0RgfQLFZT8Qc0mpVZuAFb1vAZbathqjzHeUeWDgu6GSS9qOlUytC2i45d2ZJt6vqzt79E5971nwdk2hi8bCu/TkOuO757XPsb7zt+7o28ZBNw/+xrIejuJQiCBEcqH7Q+YkgkDKQcjWSaatjEKx6bv/ICeVqUOFcRzstrwvGumLQzHE2RSUapPEHAnHJsygfzHC4gY2G0zYw1VvtBVN7EtroNx1mEkcfUkQUb0rYaGg6OoAtKV9MHrUIKS9tqKJfKw0XVsmz+uFwxreQ5zj3v1ftW372+QqbbAXxvvw80HS2odGFp+G/zaLc0a9+odh2H0D2e/m6+zHaQbN1xzWfZ23fBNE0NhSn2ICnvWQSSmcjQcC2CI22rWZXnCClfyaH6K0/K03xaXJSeOtc8nlxHOXbheFtM2gKOEDody1BymfJEGJFJxmh8xAKO1YCtOlrt4AhjaRBgEJW29jnG5tSExZFyqTyAeY3to9VtOE6j8tAz5shCDikzH6VJygv+hwwso8mDBEijbMoaOBrhZsi0mgNixUfY40ucX5udWS67+hS7kmNvv+Nj7Kw/DUdbm8rTO95gk3LrU4yblGP3m9tWeW76PNued9vjNtm7+X8/KUfyOXKqY5IskJKHijryMIIjj7ig2mrKhBRUPviXkPLUlMVFadW5fhhPaHbAF59cbVtNQL4LJm0NRy255A6OzpcgRJE7n+N8wFYQWJ7lNMrKwA80NXzIzEzxMFYUkHFwPDpSlJyxOxwRCIPYKzCcw1HIIbc6MFrEZsL+EMrkxvKp1XVXHoJjXnXloW7RbThuVnCborF9vrzr+vA25DmubOy63rdvh33Gl6PVc9F2SafvbufvdWMSui3Pescp9I1Z2NtfqHnXeV1wTpVz1oRSwm2rqTOPpX6OjIo/GbOSfSVj+xkLxMlNw/G2mbQVHM9SyPiAWhBBmLyGI80hK5rpgwFEAFdbLXvgmFNXniOo714HjgzDKS8PPcaqbbVFYDRiM2N/iFIXxrCpLTGD4k45qlIrUq7NDJk5W7p5hn35jc0bdj3+Eu+Ue2nX8+16/DfdPrlI1jS7XW1ye/k/tO/41aa3i4qZbglo28Le/nK02pLPkQIyIOVYwRHcDMARcsY85rbV9ises79kwpwaa89vSjneBZO2g6OAjCkJPE8l45FwytHBsVaO1Jgnr1qWERzJ58i9UGUGyuqJZhQWSQ40wXH0/LnB48d6t211pRx1mR/okI8cHLU5sFz4jOA4wX822uYGmLKSz6BpbnXlcyQFS+2r1hfIbFBavUHmLZXl+rKclnDd21/GW73gndpqNyq3cW10y/naqTbkCZuLeuG+8+VRMPR6O+qqmV45r0Pg4nnnYNvbX7P+zLoZMq49SCC5iWxoYs4xsMxGTHIBA8Yk+4of2L9UwpyKkuDon+uHuPa2+uwOmNQPR+pw/qZyuPZ+kNa22sHRr+GYrcLxTXKg37khODLGjgRFq6vyQQdHWJvTlpralbE5HLWiQQ2s1dtvrdboU2bbKrbmuE0KtE/o7O0vV8yQclzTsqxbIdPrAaR8vHZlS88YrXUevb6QET2/t99a1ybP0aXysIBxHfFAROBwXXmstV61Zva1TdhfWILjdZXjHTPpcjgCgp9VcAzymcdpLGuRSRGFzt/oKmRao1kJjuRz1MgMdKiYU47QrIR6k6CGIwweY0flWKXymGIw1AcYIVcPADOEpW67JjYT778AJjcQE1ASuOYpoyRwynOkrjxSmPVc2qQAN/n0ur7H+nxda3zbPMfLLlcnYXrw2vFVftPtW+RUodr+x3bL/ebwE1VOQDuPoMkSaI9Wbb+fOoZvajjcXei9/cWKuDxHEgJUW+1BcsECC0ScpldzJOBUW80ks4Zzzr6yQ/0XheCnYW7PrxWtJjjeIZOuBEdGFZU1HP2m2W0OUAJ4BUdKAccKHIfqtc7zY/14Rzg+B/zhBHF0gmF2gANf44GFHoIJ3xQ6xph9aKwpSDkygxnTMkVpclhbGkpHbw1fWvYhVX/1bW6b57sXUtOOvzs3eteuP33hl+7z982+ZCKjpk7d2upeD2OnBrv3fd3j2ve2tWmOy7Xde/stj1Cd52g8SObcWyZCaCLu84R8ji4gQ9tqbl7bBP9TC3sWwp4r65+XvEkC37JlWVNbfQkcb4NJl8JRnZzIgD/glXKERwEZKhdiLBfkbyTl6DHGmO/T1Ghqvm2tF9CGxhiTUuGqYmHsIPlGQ18Lji8ncczkIAvCAz7JjljoJZYy8zUic87+iMHkukDKwGdG85RrU1hjnc9RrHQCv16e4+pFcrd5jt92+7C6k8rTo7wvHbna1Xo0KKYzopVmyKxrArLtKNd7bJ82hNTT1WWvcONLKUIteMSsSiB5AGGqxhMMr3GAP9elPefSOxcWF/n5yQw4yb94+nS70awtON4lk24MjgUFYfNNcISmzma7KEd8BvHIgy/fGYdBPEz86XRk/eCASQxgZKUcZ+yPmeWFtSplOU9hkUGjsIY7OHLSsvSoN2o75xl2a6c35EXO4bWyva1e2du/PM/RWJG5MQn0fdEazgHWqm1vr21zXLPw6/5uf4fz6ZBL+4iF37P9+t7+2vWnyTquZRkgmSh9CBFQwwl4PLKeCZnlkhvDrM9fsQH/cyXL87AwFzwOxnqAGZ6h+Px9KDC23uW1risPIHaB43WZtAJHPHsmXscxHz55wvs/SBWtVgUpRzD4BfICLuHpcuW4MxwZPoX47vCFL4/jIExGcWgxyFh5wC2LGYNnlI5x4f1XKhUEjWTVyDV1BTc0lpUrxlzji57HJp9j70aq88Km/MSr+hzvp/0qCbw7mpXWolrH9fmJi+/Suu1cA+DF85yBmSUXS/t7WaM0V5wue/vN+rt7BkBkk9xjVA0TcJ86gJuIWe4zAWFgaLL1K3PI/4dXFhME/lin4+n5e8P01TOU2BKOXxeTNsARkk/OxfRoJGhbbXkqeSuVx22rXUCmQFqA0TBAa3LN/KBKvia/Y1j5Hqtt9RXgCPAnX37pyYMnvtKIAx8R8mJoLIu4z6QpEbMTfAQ4OObQnMBYcPBSWU05jtR6Yvmxa3R526j1tizb269UWk903zBkTFVTJhajQFujVesSvnXTILujW+d+41bZX/d9C0QuR7n39vvXn8Ix3GjuejqC2mLDhwcfgJtZbQW1cgez3L6SB/j/DDNTw4JpNsVMech/9R5I2NFtbKNyXIbj9kxygs33jc5yY/1A78qkNXCEeB2D+9ErIbxHguB44QsJOZARTyVKJkUYclbmwgQB/cuYKSYMbl18FPRv9nzla+QER2OmWoZJeSU4knD/b+AffACBY/g6RKBKRMbksTU0CtIn32dsT9T/yRSUIUobXjBSkYxTLx5X670CxznENkV/u7TbVWn2KcbmvHv7a+8nrkKmFa3uJizO37SczFMlaS+68VSvLtZ4TSpOK++xdRw1cG5vw/f2lxNG3Y3NjUdhbmvtUTMa5oHDN8L4tKOzgnOa/22ZfWmH+v8tmUkFUzM7LXPDj/Ivn7iRZpqKaNb+Blrbajy7GpNIrDk4UjmzxRyO2zLpSnCkyBCpRkGxqCaVBz5sWbDS862gqHWWG78Mciun+dXhSHsoV/kn/gSQL748C0R06Fs/DZnivmQQXAeefVt+ZC2LLXjJFZRlUFUHcG6M0usTwLdReZ2aapcMvO6xSCRe//o2ti4775yl98Q+R2ZNvYdufQeCRqC21qk3z5EgKVpzqzvvW1rq1ne3dpO9t7+Y/91dx3pUAgVqmTVS0SRCDs81naBgDRHU2Ff8Hf3fmTS59OKMZa8K/fZR+fn77q5FyvFG4LiOSQRHTunPBEcfGiZQuwi2HeEIibrxBPkbF3D0XT9HPS04wZFTLMTztaJSQgslJGazEsXO22rn4LD0GfnTLyDjIeRFAE+8nfgiEJ6JI2aztBrwdR5939PmfWU4Z7o01gpjuDWi025s6cJYmQLYJVRH+a1MH6yO53UljOl53aWWrHvs7S+vSrNMivIcqTneYt0uS+peVYQt32Dtwmi/n/aBzfa7qyz7Bnrt7S8pa0e2um0Zp5xUy7SwjLl2hlRBR3kAFBgt/PyvcBj9+yBAUZRQ+eTL8ssnT0g19m+p6+u+mT54uXK8nEkUJF6FoxsbvXE3ewkcIYQHwQXEBZUIUQoP9XMUkLxO5ang6NdqqXABmTKgwdVgVM2nssAQIEvjKmYKGqzDZyi3jlY3cPwEHD8CewqI+G//Vk5+7dek4pzHk5GLPwt7YafKGP+tkFpGvyc0/y1wa42uGk5sm0/YXKnb5hluu8ne269WdlM+abP+jHyOdjGhZRvh3c4FbfJN6X19z29zzl2OuW/2K0chRazdbsal9TBm6IZG6T2WG/4zmUz/wXq6pGszmR2qafyleufJE/1ZlYPQrxp74Xg1JjVwNNZqTKxifkRjo3eH47NnEMfO53jZB2lqqwsHR8sKEsdWW9/VVpOENchZlgcgOEqTmbMwdE0pihTp97+HSQro408+sZ88e2bx8cc9FSz1z7NSj+wjgD//AiILn/MHnsfx6FF1wCvgzfMXNv7wPT367DNzzn9wyFj0Rwx4r/oKN1W6LONr9SLeLhq92geyi9vm78sxcd/tg6LVrRkyS8p7pba6tVpLo1vbz7e+h/b7XY3HalTb+dPaUe3e83aSxO+ZfZp37G5EHC4qAyM44+p5LvKfDn+YUP30yrX52YcfVmB0d66eLXUHjjfGJJvN4YhyrM6+N1TD18tB4jaTVpTjbh8E3ARgtqjh6NdwJOdn7QCl2dazLGN5DcdsBusdQasU09//fz6ZbQXHarGacjIHyg9BQ2Oqmdl4BnxO2Y3jTy0++qhZePODv7Hf5xp/bK0euuOumOdYf5X9QmJ9P7TmJ7B4395+dU1syBtlVmTz2uruCNZmNfuen3/PrVzKzujWtVHyXe3s7dMO0T2s0dxwnApW/MXP/iB6tc21uVGVtwIyxKSDA4gggKDxfut3s4tmOJcxyVXu0eCUXeD4o08+4a+Pj9nrdz/ifcrRnKUeo76OdVce6gauy6JKhLewCrCe52sXGaJWYfUHSS3sxINvMrDSh46JUzGsuYA6zb4cf/n972cbF6u+m9THMXzyCcOPflT9+QmAH8HiJz8Bfvxju3RH+m9WvP/b+H1j8QcAXDH84rHtxnjTp9ukLJv3b1Kwm+z0vf7tsn95s9tmDS4LzawP1VD01JAnbP7oD+msr2O/LC9yc6joW2nfitwY/PXP/m/8DD92a7v9tXnZz91aRkx6hg/E6Z++Lx9ysAc0HLsDx6syCSXU2fewnXKkD/Kvp6c8+9P/i3XheJpNPDdqsWCyDUcq33dJ4A6OvlUoluCYUpNbR+nqg4hfQp4HCOZwfAs2iygXCdn7Bzj/hPXMsF1dRAbbCXLVn6JvvX//b2ySW/wRs3gKZm42qnxVpu3ft3YFGOMUrSYn/zxw4gQh08ysCbD1+Rjp+GYXveQTbI9HcJ1jFh+jff69/cvWX1vOxT8yib/+/ANGOYvNY+drc+2PwFr+5Ev40y9fS7wLvPfOsW3D8aaYtNW2eis4CiZZuVCOCzj6tXKsotQyy6kbuHJwDKFgoM6GFaXHxzD+BcJCIpi8BUMEhDQgnJJKLzD56ROcX+qLuCZQfvj/20c6xp9YQ0ve5+qs97/d7bK53DW68tF45wQrb9/bX09Hm1u7mFu9NEbwku9/nudYH7OS5+jyIFtRVwOml5Rk9cbVprZ9CnP5w9wX+wzil6HF//zpf2Zn17wc17/9c+uSpo/xGvgKuBSON8Ck/Bj68IsvTPr0qT7+BPaTZ/+hgD9uFFQtYbvK0UxPZfDOEZ9TWsSSlXm9rQ64ZgX3WBWtpuRvQUnXLoUnN7ABtStbgWPrg7BfvcCAefAJjKN6WBdVRs88nH7+Lqscurf0+J2f2t9m0H9swUjIrn9w3ukz2KM4m+PMDSvSe2pfMJuppnywdf9wTWi7zWrb/sv6XiTMdse5L71z/uaHoOdVTIufxr23b/UEnvjzZz9kP7+Ny/LDv7Tev40QnVRAMcf0369egz8w9nd//5H2X0HcMpP64Aj+r6fg2Z9ivq1efBB4VqaeKx2kId5F5fykOBVtq01RMOXDCusb42Ge37gBju6D/I8/gX94hAPk8AMG2vBUEw01yosLvPny+xR3uZ0HfRmpV/4XC/571rKq0UHrsfiz+l+U1Nq9oOjvRiDOr7OOIOQdBbk4rnvg3n61AjbnLlq9UGyXexg7irBZxlaLsqX397UuW/mZ7e2T79UCpRHib/7ph/j73nK/61yi1ooHXyCJC8hJAXM2cC0P7aMcZvhLqOA3YBtX310waY1y3AGOVJlSFoLSeEg9UsUgJYETHEk1Gi/QJs201VYNDiOqea621YDOsUbC/hj2v77B4JzjUHIIz2XXg2lqbBFjnCR48yljlDh6K4+n/2wPZI4/scp8nwxsCptcN29xfu3W/6MvsWeuYjr/6m+7fcltRo0n+nyJ3R9Bu6mtQ2tPM9vLnm/OuU2+4n2xTwnxltsv4kL+5Wf/B5vd+MVnLfvBP2FwLhByA8sV/hd77x5kyXWfh33n0d33zp3XPmYXCwyIxWJJALvAguCQkvhekmU5elSUWALtOCUlVspSHMd/RFFsx1ZCsiKlHDlWuZKSrKKdKkVRKQ5hR9Yzia0SlyBF8LUCAWIXWGKwWAADLBazr3ne249zTvCd7r7T986dncfO3Z27mFscLmZud5/uPqe//j2+3/ezBEc5DHsViJ84iuz8FzdosG03JnW61b3BUYVKLQSj2ulcz9FbjsWJeCuP2SkPjqETLnEmjq1rjGTWtQz1FIejXuAI2zxKnuOKf88b/4Rz6vwC9iRNjIZRYUUmkCKC08DV0yO40s945Pu+6+5RynxMQOzpbcOtEyNcL4bZPugaWmbr7v8uGZ8tL6oxx6pF3yFVpihesTJV3VJl3U8zFdk7tq/EEtc7bnms9ba7UVh6gMaX1rwdG/WN6Q+I2W0HRQB3v+mGshZGXNOrINjlGqzIYOsZ4ksn0OQ77oknby8mtXmOvU8EWoXzHeDo0tiDJJMxug2OefngeuBYu3zZ2v37s/Hp3uBYTsJR56JGE/vFIoYoeuRdd45lkWmFS6f3irl+TFju0Tnx8As4Lhw+5Kyt+b+thWVbPAmBzlimo7TTjT7vsvGFzLPVuTgt+YoFAN5QnHYdXuMqCk+XKtBa37/LxndCLSuBb585Lqa3uLxvuNvRl1w0l2BPGELHBlYYWBXCNJvIjiZYPP1BkZbP4e3GpBuDYwi9tATffrG0HFeDY+gtR0ZQVQBrYufjji6gCnen5bhRcCzv7kedG2m9jQOoI7BpHuN0gAgyNKMYbzx9r+Abpi8fTmKYZD9grDxO6aUbD1KaNutls1elv7fp3O+s8QXVAkrLsafMYo/scWdQsWe/HQmFjvr3XrTFG8VU2t/deeNTzgtCfe/cZXwXn+pDCOvLTh/ci71yBHUswxEYZQQrUxgdY+HNbrfdJ9JDFyYAACAASURBVIl7WI63EJNWg+PPQUzQS74EdSWEbi1BjfUEx6htOVKNRwSMObKHjKNMmHFBRBXubDjyOos+5rhZcCzfIFML2OcSTGRs0wAIb7GmkFrjysgevNnPeOTxM24vHD5qYe/dJiTbPcw6d8DzHB18zFG0LTrmy4ywfgmUSNhL0GMFJXMx1h6it54MvmJp8rgrXvPK398t4yuXvZoG+hvnHhIL2744nROTM9iTNjFO4S5K9QjLniawI8tYuvD7mCdtZtW4VXC8TZi0JXAkSCmRg2O7QibIa6s9ncfFbXCsmyUqLWYLh0bS2mVYux/Z7DTsZI+Y440mZsq5QF7FXVZg3LvYIEnYRyBdluLimQlc6mc88sEX3f3KmI86IUbXLScsL6Sb59h9gd28yVVliGtYmusZqAM/voxZklZexkbrWLq3W//3ziz3ynirs9+9aqnWP35nnc3q7W/7+FezBE+f+4B4c9tBEcD+F92IkpgIFFRCUHTUqYC1GZpvP4KrEIUL3WvwTYJjPzBpfXBUUGPNwq0egmotIFAyz1aTzkOAos5tKTyxChyjpQzzNrteN1kjGzdbBcfy/p14yzXEEO5BCw0dQtCC9GLsCnEm8Nr3xsW1fkx0YcXKh1/A+6XAFIwlUdV/bBfPcduc5y6eI3ty9Lq2O258xhy9nAG94wppWwhh3EppVG+yNlvU2c7tuvpY590JS6JQpxhueX/bf70DxxdSxdLhO2eO4YV+GBSHX3G1Vgt3CYW60LCpg61Z2CwGu4FeufSYWFr3Gb0RON4iTFobHAF15Rp0iycioV2MoKVaWoqaVimUFIkyKWQQdZYPahv6umoXwLvVoV02Kh1Kr9evbws4ljf1B+bdvizDPc4gJDjyYaKqPkLM1a7jlX7GI6fedEPNa9mHnZMPeUWSrplenT/p3KLNlyz2WytiuCbPsmu8O298F0snOi5rM5XUbWeblvtmq5rWeGrvhPGtcywtfyF+TX9n+kdFvC5AbXYD59Q90ziUZdhDUBTMNBIcLUwU4+rMMVzbMBj3AsdbjElbAkdWyWgh2iRwtkdIHbUTE6eDHBxNwXOshS6rgmMrvWjmlg6ZzbrVPefJOfmDTdwdL+MQ3ezCkpUuo54kLu4/gFf7GY88Me0OmBQfh7VeGq2Nkltl6qyxGK3rzG7LsrJpo+Osl69ZS1WotIxv8fgGLlZ8inyjrK4qpfY9Wrn4fLsVQYnO/WzRwZD8x87tykOt2r744k4a3wr3hnRLT585PuYLULb348RdL2G/NjiUCIhQw2a5G23VMuZnHvMhr83xlDcJjv3ApE2Do0hFQJ7jCjgW5YNJka0OQqPY0IY9o43L+gqOxQzTjB8dxn1KYi8tSCZtKL7pFDKX4NVn9+HNDb+xtrBqHnzRPaiAjwhnG713X9+2Kxz0NUbfKLqtx4MsD79RVC23v9XjM+Zouw3n1bfI0whWwNOtV77ZzYP0MeEeVU/dFueaPMudP76Qbt5APf3iw+LCFpb2urscedmNLTncK4HIW4p0nzVsaLFsGrj45t1bJI9vAhz7hUltcMSTkFMsHywyQ5id1Qt6QnW61WBtdQGOrK3OY45ez7FdIZNYY50JwxwcF209G0qRmjqyRgazrZZj19RNXXVjmcARODQ8OGZgdzThDJYbAV56ekz04a2Zn8RJ5/SlF/BBSPu4cNA3WlXtB7p46NZ9qNddopvbYKePL4CYL7jcFO9gXfcgnZYme2U7z4esSJN1/74qEMJj9HqxDPD4yiUw9pmzZ/7Nc/jsZ7dLm6+90A5/2dWSQ7hPSoxT0Fqo3FJkkztdw8WZe2/yWaPA9W3GpDXBcXZ2VtfWBMdI+Uy1p9QUeo5d4GjZntUgMxaZiZBSuiwHR5i5JeRuNeCexDs6jGu1Z9zcM59v7ZyYWsZdpoX7YfN4JDSENJCQmK2P49zToq/8yNEgNR8TQjzQPv2Nyi2WO2x6+y7LbqP9CNa6v7d7fJJmCym8jt4KvZg75TX05EN2XqCHurVYQOv9nYcahPElnBD2pdqo/sbprVptN3ruvuTUXY/iXqVzlf0SGCVbMQNvv/EMLuKzG5YeXHukHuB4qzGpJziOzsyo+ShSvcERheVYAUdmq9lrPSadJ7FWB9l64Dg2d9oemZqy2w6Oxe2mJXd93gPkPV7KJXez/fW6FK8+9zxe7gvZtRj/sXPunsyaTzoh9m8F49/V+zjEHhy73NuiiXyPbnW9/V4KfqzkY1YsQ74lO+zR9ruFXmHF4hyw8aXAJanw588dFRT62vbPgfPuYCBwv7X0IEGpFm8tOoVrgcRr2yoS0wWOtwOTOsHxCGRrCmIjJ2KygsrjM8RhAY5JAY7DmQ1xQ8ux3+BYrgxP/YnwPmGx35EbWfTa1RKJNjj37X3i9W1fReUBnROPvohHrMQPOa9cuVGCYnmA9WKV6535YO6vIOOsEnOs8gOrCRpSm9o0JubDesQcy+8ZuiiPUx6jun2v7aqGfGlY7sTxhcRylsXfPPdQ7dx6K2Ir3+99yY1GEu9zDiPsA2WYbFG+s+iybuLCayf6QJ8rwfE2YtIKOAJyCpDsy5KD46Sqaail5QU9FkgtVUO3GtAiyS1HQ55jCuk8LubgmMaJU95y3DngWC6GxxfchHR4ME0x7Nt++uoJHzOdsxLPn+ljPJKliHVkP2ScPEGAXg8jy3b2FMOuLma5Rg12uV0Zuyz37+Vx+r+tg9E7YPzY9HCrFU/MdAgwdnZSLS6YcXBbaZBV3c+DXIGSq0jZ/sLz46/wHFdmYKeN7ySMg3y2Po+/aNckbwX91tiH6zYWeK8RuMt7hhKGnfykQSpqeG1mso+JzqIl8+3EpM2D4wKCjD1kZCc4Ikl8/GGngqOff+fEiTkcFgbvZTySbjYFDnzztAAz9Xk8309+JEsRZYRPOGvv29waXi9b3Hm01SHH7bIgN2b53vz4MvaUvBt8qhYcXwo9LchKPqXc3r9AuvMsm5sMv/XtHh9Kno8dvj79XjG/hdO/8S6fd/I9fwNsLn3EGUifhS4TLg4X9zTxSldrhG0/hbJf/YbAsU+Y1AmOp6tudQ/LUUEnKQJFcMwS5cVuc+I1Ugp6r2M5NjOY4SIhc6vc6l6zxjfi6D48aID3sAE5F4BvQ075OoFzz+zFOWy8n82mF8aJF939RppPQojxTe/8Lthh7Wz1WhffhXarstPlfmuh4mb/3n0et3B8667qIfXVZ+8Vb/RjKfi4osQxYVA39HEIjIwralyLE7x0tR9g3OtCSsvxNmLSDRIyOTiSyqMktIgRyB7g6CkXPiGTg6MOYEjl6ZWQWQWO56dsqbrbj4le75ie+gM8CosJgiOtSM8fCbCsMzx3em9/5OALK1Y+9DIe1wI/4IDI/229Wus1pcsKI2utapD1DMe2lPmNlcnXlm7b9vGpEFqZvmrZZDXUwL93/94GwpWQRBmL9IdcY/tuxtBGjuvDHLdmfAHXElJ963tHvBp3j6TUeqv9xt+zDjrUeBQS+72lyPiChM2AZtTE9189Ji7e3Aib3LtnQubWYtKaVJ6rgAqK8sGWhFYxAqWgZRp7y9GKSDLmaMWSZMdT2QitTOBMACNbse0AxxTpUB1ZDo7bWCGzyfu91uaPXXb3WIkTwqFRkOvY8Etah8tuGafP3Cxn6wbnefd33NDe0eyjTsjjvq3lrfhstDdNv85lvfElYtD62+qnOza5HX70Zs5le8d30snnmwLfnH5vX0r+gntewTFhccQqMFKbl/1JX/57/o0jeLmfXtSat7UHledWY9ImwbGlVVFb7RMyjN6Ehf5CArA1q9Ihg7ZG2ZaxxmUmdZkJh9Kh+vWsmY3vSHD0E/Qlpx7/DB60Dg9BICA4Mhbpq20cXh7bi2dOif71s2EpooX5lBPi7s08h3fktpbioD1CjoUF6J3YKsD6OOKKBdedxW7bkl2xSVSz2xvYv9z+Vo3vDGZEDV/ty8vZOXHv6zgCg0esQyCY7fOSg1TVwkVZx5ktV7dsx6LcMDj2D5NWg+PHIJaGIEfrUEF4TbeWlGoFo1ppBFo2qcYTKFnzlqMViXRJXj5I3q4MEivjwNpGlGVNmJB0nghpZpE1RpAtXr5s9+7fn81OT9vJo0fNqSfhULRB3I77uR3HoKiEa+BEZnA/M8vk1nmOpEMmgOee24Oz20pa7zrpE+fdgwbmE3BipP3Vekrg633ffWO2e/vtPp4oLMeuUF7OW1ydFPJ0xPIaK1/7xmbF9t28xuphyqgCa6ldB8+xM7N/68Z388Jlf/78e2svb8ea7j7GwWl3INCYsg5jBERepY8rAnPG4rm33tuf1gibupYqON4mTKomZMTJU5CzByBLcKwHUMsKarm1GGg1rANKlSnoNIm1zhLlwsj3m/ZUHmq10XJka9ZWbE0YZcYgCw0yV0NaG4VpzcKMxjDzk746xp568kmHs2cdPv/5jaVBN3V3b27jqXm3P03xQSGwv5DPEtZCCWDBCHzzbD/jkV92+tH78SGX2Q+xG8XKc995m9bKYd8wzdvjtqyNbZ1H2rya0MbmYNXkcyFV3GrPuyosu+o5CIJZpUyQv3ePuPK9hLBWuIqFKBhaKwbvPk53CPJWjO8sUinM6edPB89sS5VJ1804+JZrhMuYcsB76D7bwlp0QEtpnHn9XpzvRzxzY6uga6s8IXNbMakDHJ8AxNmzUDk4XlLLwUFVX4Rqhos60MNaJU2dKqG1FEqLqCRUt2urReycGY6McjCZhSE4BnbJuFojrRmYVtYFjvkLn+WD2x5g3tKE9NjpkevuAWHwAV+vXSRtaFEqgTeNxNf7qR/54KwbCZbwCQc8yFPjw93rujpoKtt14ZyYrtjgrRp/JVu9xYuh0nfFAlxPc3iLo6y922bH51Mg5YtyCF9/7q4NaB1u9oS/7PTd9+NRKXCcYSLBbqs5OJpA4KVXl/A8jgvf7GTHfApwvJ2YtAoczwNyDpBjF6EWA6i6hlpuLuhAS53KhlKqRbkylS1AuRpEXjnI/4tc4mKnXGRT17KBcZkbq6chgZIW5JVrNm3syeYPwjTOwk4cgz01AODIa2Mp4tU5nIDDI7AIfGY7J3MLAZxd3oNvTYs+BMuLlfrY6+4ek+LTkPaA/9N6bux63/dwQf2f1jQ5u2zU9Y6/3vfrjc+YI0+mlGbj9l2yaR03gd5LhfTdTuZUWd5tC7M4bknGrL4AOF51nFsxvnNvOa2eOnO/eKsfwPSeV90RZ/EDEBgqAdG70AJvRSP4zvl+Nqu7mQuqgOPtwqQOcCTGkXRJcGQfmavnoOvRdZXuHZeihSBJmpp9pY0SKhBCEhxtHAmXxLkqTwibIrJymQKXTVMbr6dRYUEuWtihmUtmfvSgaSzDTrwNe+rkzrccq/NLSy4U+EEI3M/a3yJhw8cusQLfen4Pvtc3K5iliDN4xBr7cWExtKl1tzkO+aYOvaGNNzu+T8hs6MhrbLQNLO+bGX4j2XEhqYb99ecPixduaqg1dr77TbdfZfiIczjoM9CFC20dFozBdy4+0Eea2nZcUAGOtxOTVoPjaci5MchWDXLvJOTieejGPkitoFtXlnWqhQqkUFay9E6IkBIBUWE5Rv69a5Ut1H9ryBIH08iQLRpYT+M5dMiMAXbkFNyggWM554/PurtNgI9012vD4VoEPNVPfuRx50JxIfuIgH7cCVtAyGbRZztWb/UY2zy+kEmHZViNJXZLkVUTKJ1UqJVQTeFX51lsQkV+7oWQRfFLd7a7S/KsvNybHN8JFpLJZ6LL+HY/Sv4mX3d1AD8oHB5iHsBL/bLkTyAxBs+98R0834945navqKJCxscdp24TJq2A4xcgcAzi5BNgqoqvNTl66ZJaXgjU8P69UjWhY7Wk6FobCRmWWo6tlkCNq7Lm2IpbuKZLHGwQORMYa65ccyY6OJLV98DMzcDUJmHHTsMemUKuyLPDY45rTrpz4rGrOMaFaAXqnvpD2qz0LvcrCvjKd/eI69u+aIoDPvqq22Od+bSAOLLpMTbq9m76wBvcYb3xXd7sd9VnDYNwlTZtd3eEGxXAlINsJCV4k+M75843nXrq/AN96LvunLzvVTzmNPutIyAkWuFlxLgqX0qv4tsb6t2ywSns+2a0HLcFk1qM/9kkatrAWhMaZ2Yza2qTo1k0CzsXr41Jq8FxAmLhJDh7cuziRbU4H6jhA0q2lvaoWENlaklFQsgoFtLW68K2mgL1OtBsQtbqTgIutsuWxbHaNExSR6btNVvP9hieiJ6G2zcCM7IwuJZjdWGwFHFon69yOeEEtKf+cDkS9CX+wo7j6TOif8HuExfc/VaZT8OIvest2HULZYoDbAQn1htrLWyr/n1NjBRIO6TDip1kaUHm1J22Zci/e4uwsl319xWjrytR07XfuvtveXx3FVqdev6e/ihAHb7oDtsEnwQwTktR5Dl46yzeDur42isHxaWtzNdt3acKjjeBSbpW910PE7dsk9qQCRxMy8BEGUxkYOebMDqDG5tbbbBV3WreC8HsUBkAnQQo56uWr0Ili1BDCjLVi8pIIaOWkE4MCeIiP0vXmkKN160cgmsuwdG1DoZgli2svgIbpJft0oP7sxpyy/H0VGE1esuR/71zM9YbWSSPXnd74PAJgZwf6UsRc4mDZRfiqecbfY1HykdeTz8Apz4iJaI26GxQ/5mdyfhpC8Fu5IIr25T7rzLCtji+E0h5LJ9PqSDoKlGeCtq3h+ravjynVcepnH81vLmqkdZNjC+UbGmTfuO7h4Nn+xGLfs+rbo+Q+JR1uL/kKnpwdGDZ2tOv9imeucnlsbXN85jjTWFSswmoGqysw7W8KA4scyDNMRhajbXsomWYLwLcxCmfA8k92cKbXaGGVLNDRbF3DAhmrVsaMp6ArM9BxZeYkIGsj0CgwaMs5cdYbsCnCWaJBnBBDWbZwOph2HkCZQqjDsINASY6C3emedphYcHh5Mly+XXSeXYwvedGs33iurvfOZx0FvuY1Ra5npiEwCVY/Lvn+6gfyXjTuMs+DitPbKQUcaOguNHtNvsUrHVcKWRqKin5DvDaIFi1QbELBNcSDN8weG5gfGspYGK/N+/017dVALa4FsadF9/AR63FVNE0LLcUHTIJPPPaIr6146g5m10c3P4mMUmg4TFFLsItL8BFNZhmAyYwsNcNbP0gjAZcOwcyW/CuP/c5Ty9cBY6eeAmI2bOQ8TGwZZhoXrqkxtVBmSrI0T0Q6TxkuuT7RQsnFotjDEM04LAI6AbswjyghmHltetucXjcqP1g9sDJGbhaC3b6aJGpXnGPSnBcAckBBUg4Jx+Z89zIjwiHehGHpPQTw2Nnl8bxp9OiD1JTxQJkKSJCfBrC3nszFmH3eu62ENuWYpeFKAotxrIj4GYtUimQVsGqpBit0l+s6i52dTHoBrs1LcgNWJqbGt+511ux+sr3HxSXt4IHN9zHOXH/GzhhHMjzoCnSJnIDeFlcx1f6Ijy77Rey3gGd9yVLy3GrmCQaw0wQ+1BfYGEXHJy2V21kjJ2LJ3z+g1Zj7TRcRw7E26vd4PiFLwh87nPwrnXFelw+fVHtnzok4suQBMbRvRBmHsIuQmAUMGJBKDeSo/QI3NwYgNeozAzHn/kUlsTTYI8XynQzGRz4swKQHNPv307SVO/fgIIkSxGzBj5uHd7vKC2fg4ZwOc/s67VxfO20EN6F7MeHpYhO2ZNOcpYqnw26u6voNGvsJ4s6aEpE9/x003LWGZ/guMry67bYui3C7pKWbrDs2n7V8df7fp3xrXPzTqmnztwrpvsxl3e/4e4NLP4yHA6RvO2J3Ln68WUY/Nmrh8Ur/Rj31h2zAxBXhr1JTCL+qFG4+XE4eRWOcUZ1EW5+tIg1HoUdAdyp0p0ujbUelqPHzBKpFwAxNw2ZaYh9EWTrGmR2AMKwEotqy3PVcq2VxKwcc066Pe4qA5ZjsHICDgwJX7qESycOWlwo3gsZ3PGjvr4atWNwOA0wUTNxsmi8xbP5wjvm9ed8XNLjyq2brO0b6cSCO2BT/LAQOOw1s+hqSwghsACLf/v8XvHc9o3WdaSiFFEI+4MUGKh+uxaoredGr/f9Rq9lzfELy7GqPbFe/6w13eW1QG8DFuNGxncOqVXm22cmg9P9UK85+pIbTer4YV+AIGEdQTHPQC/D4muv3wuO268c2kancuvbrcQWK4BYwZXPeYtJ0HqiR7tZTCIW4RoQjO6x2sFdy3IDzVuNZ+FqzdPu9NRUXqnXxpocZ7rdaoKRAE+o4l6TsLJ0IQdJOwmx5+yszJQQ2LcfRl71x1B2r8MVQO/l5M3ibUx4y5FxRlAJ7s382iV/5+d1QB/K/5vZooggyc9ZgNUzOAW0A6TlSbfPeDBB8pHL7mEo/CVY7CU4ehI5rUmLGVXDHz471B8BU962B190I7W6+aRz4uHNPknrWYZrxg7b6NI54nputnDIqtnmjSZMOtzftcCvCyw3DarF/mSySZudM8vXvnbm+IHFraPDGnt+2enDD+FjNsMnvSAzV4llZ0FkyPDdNMSXb6tqzk1fcJeluII7nUcmMJafAiAZ8tscJs06Za27bA+68BAsGTNRQmCE86yZWTg80U7GeJe6Exz5WyVDhCefFHjiiTZas7cMEzSMQfLHXqQFeUkcxMH2uV8ugZAgmL/h8k8BhOwqPql5sTPFF5P+36OTxbYXgJnDcJgGxuhyF5bkKpAcYCsSX3b6xBQ+bDN8QjjUfEfEwpKUwF8kKf7fcxN8Qfbn8/hr7u7Umc/AibvaI2y2FWv3qW3z/gTHMl655URJNwiuAZblZhuOUfqnRr5l7fJXXjjc6IsA7L2vuUeEwI9BYIw8xSIDzfjZBdTw/1w40J9Sw/6suO6j3gAUCwuxvceTPc6oYkFuBpOIRzTCvCFWBcYyQ/2FLwBMxPj5vTE45sDZZc62znqiODxIXoB3ErOZGQFMQlcAjidQXhYtwngaK4GYo8DhCxcEDh9GNgOBScBnDcrPDHCxOFYHwk/1jgvcmgnd/lFYihgF+GELPF662kzcCCB1wJ+dGcNTEHwP9efz6MvuUShLUYt2KeJW3eyNnuFKQifn4HTHKMvxXWZXwLEL5Npg1g1+W9xurcRPr3GklEvW4s/P3CfObvSaN7Pd4bfdXTbDTwiHB1xR2cLGVrC4ZgT+v5l7xfc2c7ydtW0FFEsrsbQKJyBoha36nKKwARwTEd6yo8FG/7oKkJvAJGJRjfdzLaOrAow5AHZ/qtbjyndlGY/AFFCCJL+Op6cFcBRtt5h/LGKIp/MTyceY8n8XeBUC7wUO04I8DHYGF8lFiJRkF34KumowAXeJ1ufrQG0Ctor2lZjkwNN/Hrni7oXAjzvgPsnqGlqRwjc1YrziD763t38PxPEzLpQj+CHAUppNrefurvWwbTfPsXSre/Ic1wPBDcYSN+pOEzzZdc9m9pn6Ef3NfiTQ7n7TDQXAj8Dhw7w8D4w5XzFxwFdeewtP4YP9S9z1D0R7JFmehCS4+c8piClSAokN1c9pEL+ABTAvn4MjdV/zcF/52TomEXRXXOk18xo3AscqePrteE2zp3KUZ2CUf/NAWXyqSRVe+amTJ3Pwyvdx/t/vQ+BjOUgefhjikIZIVAGOBwEzu3I8VSRyghm4kX2w9cNwLxUuNzNME6gkbipZpv5Ndv+O/Ng193gG/JhwGPPUH+dzxVQhn84i/OsXGv3r4fH+V9x4pvEpGHu01xVuVwKm+9hrHZcS/R2tVSs7bpQUXu6yitS9FriukY1Wwp2XRj313fv7UArqnLz/Ij5mCIwWdYpDFJXfrMV5VtTxxxf6WILav9Xcw0okXhTYQYNpqjCy4sJY8ufyEhDdl8cC+evp1eDIv7fJ4VvGpNJdpzV6g3xGD33AVWi/sk3hZpfAv9bNrYQKcnDkCZx5xyX/0soeZcvFiQuQsYZYugqJEzk4jpc9i4vNrztfceOCg3Ah4C4Crk3evINAkpYc7iI/ESfZsazoZ5MXxkn8uWzhj/qi91fc58ffdPelifkMIPbdCCS7v+u2OG+W5yikzKyhMHXxKSphbiXP0UJeiTS+cvqe/qjX3P+Ge9AK/BSpORUlbkL0Gy7A7712kIVqg/ZZAxRLA2kE4ni9CM1NQ/iw2uE8IVteaekhtsGRFh4B5UsdQn3bg0kchEyY8tNFGewBjtyyJ+eoc9vu4Cl3qyJy57xW3d8OqhCDqsyEewtyEqI1C4kJYPwyRFa62sxo850KoATKxkHYixfyACuTN12W5EATyY/Pub3S4t+3wPtJHPcZbZYiOrQg8MdnxvgO7hN9g729X8XjVtiPQlJSpPK5RTxHWo6sh+XIa5UF3qjMr5q1Ls9+I240txUCLS3lN777L77wXD8U6iklFgI/BeD9ZVzRU3NI63L441fvxtP9KDXsO8x2UnLyfAVjiYXbfPwsRByuACLPJ7uYW4FkregiEVuCoy8vplFFih8tvE7FzjacdVzX1jGpnYSpHm8NcCw26cVB4ldrpd3LI1dN1e7RuOSL/U8CcuE0RKsOwWqciRlIutgsV8wExH7eQAnB/64ehvJn5Cx5a9LCXYlhG4fzN4tvv7BC6PRIP6gcSaqQO+An4cC4pOdH0oYUAm9Zhydf2Cue79eiP/yKqw2zFFHKx7pj09vlZq+VAPJutYHbCM9wM+B3ozLEfpf8UaAkbeBHhcAPM2TCLHQBjhkEvmIM/mTmXtHs13z29bgdLJcKKNYhjob500caoKcCXlp5lktaX5lFpls9dqDQXciTMbbT7eUrs1LVV72om8GkNfjTNwbHcvC1Tmgjd7w9QsFN7H7DVMsVQwhSfRYiSCZoYgU5XoLjHsBcL27sdU8ud3MFQJL17kGSHKayVpKsdzbw6sFf2shp75htnBOPLODDLsNPOGDUu9q0qB1ppPieCvAvnx/un+rK0ZcWPg5VBQAAIABJREFUJmpR/dNSqPesVQGz7TxHJkDaqou5AMVaILhmmeFmeI5Svp4qfOX7d/eh5A/AfW+4jwiFn3IO42VMkeAoHM64AE8OLDWnO3l7CtJbigUoZkdzS9ED4t098glvAmznXPswLOl7tBrPMN6Yxxq7gNHb9Sse4XZi0hoP+8bAsXvn9U5sXR5i4bZX0J7NvRZGIFpTuZvNipxugDQiL1vEGPg/LNL1ug5Eo7DXLZx+G662B5Yg2QAs0/arSoMGtBTxsHO1xhx+DMCnfauGQk/Tu58Sfzo3it+fEf2zPB5+2b1Xa/spx4RR92e7eY6sSC1aX/WT58iSP2Oyr77wQO2lfrwM2aJAhvhpAEfYxsETuSk8S06GxZdemRTP9mPcvh9zHUuxbSUy0XoOEnlzj5XP20DwYF6pUuUedgBjvnXBO+wCxl4XeNOYtPqgWwPH7br71Qt6EvKJJ7yoTy56EUJM1CCXAsj4OuT4RO5eEyDTRcjRUWC+OA8Wl6viR1+BW0xgr+2BDWPYUqutrR/Z7fIPGFg+cskdtCE+K4DHGIv0smh0tyn5IfCvzoz7eGR/yiydU8dm8EFp8UNwtmhYvvHFsGGeo7OmaBm6EnNcp1Z6IzHFdkLHIYWS3z4z6UvvNlppvuELPXLVjdkUf004fLzsDOtFZwUFq/CHr76If4dP9Y/DuuET3dSGq/IQ0mefiySLjycyb3AF0kxC2CsQvsCh68OacJnBBXvzZ7MkZZ/5Ghx+DrZC29k4MG7qOja+8e0Fx/I8u7TbCJC+hhKQkxcKN/sQRP0qFAEyWYAcljlQlpIKHijfAIIh2HAkj0kyNlnLYEdiWFbedCmQb+7NtPF7eku2PLbgjiPFX6fDQlfby6KR5iDwmszwfzy/vz+9SXhxx8+8PSwbez/hII7z923nORZu9XbzHFl1I609Zxr6a2cOiL6U/N3/MH7UOfwV3zyE5X55bJGK3F8TNXxpxza0WnPVrvLycsz4IuTxop80EyvpAiQeA81iYc5DjvtKOAB7cgEaNQ535Qqgxr18YRsYmUz1fGj+5GTvlYBIv17yG3xCdwY4ephaEbdkpotWJJWB5t6GfO+PANdnIJcmIUcuQ7YUZCJzybQG4WAESN/Kc5SyARc6WLrc6hocXW6CJPtlj0/CvpZTf+wdwZF0Tj48h89I4D+Ew7AX2c0FdsmP/Fas8TvTI/1r0P7wBXdIK3zaGXv3Btdbx2Y3SOxQtaht0W2HnqMS7lJq1akXDveHL3rvm+6DWuA/hcRBqi4VPSLpRr9kJX57IKk55TOZh79yrDgNSTrO0tuQWQRhD0OkGtIDIrPTBSD6f6/l0y1nc3C83hsYq3quO4plsnPAsWpFVsQviu5j4sA0ZPOotyhlC5AxIIevQ9YlpI9FjkCkl3KAVIWuZNCAbVqvAOwim4MkLcl2TLKq49alyLGVh/127XP8bTeMGn4SBp+xbNVQ1GozSWgt/qg1h9/rh+hqeb3HXo2PS6E/AYth/u1meY6FcOuKu3szPEcplzSSrz97X3i2H6pO98y4ySDAfyaB9/sa6KLsz7HCSeF3XzmAr/Vj3L6utSooHlvJPhMUySpZPg1F19lch7QKgklTWox2Ic8HgC7fSC5XyJ/rZB5UgPEC9YSYePkjuDZVZwc+fzsPHKsgmf93WSYkfbIGkPsuQnq6zwTE8DXI1hJUTUGSTkuApEXJdg0eKCmwuwDXaviMtmWLWGa3PUgWFKAuS7Kj+Lyvi3CbD85SRKvw0wJ41LvZTNVQkNjhugJ+5/k9ggSJvnymvuOC5oHsh5SVH3KdCebu3yrkxd6nIqQ0wuXRuq3yHAVgpLHfNU39zTN9aFh/8C3XGAL+umNVE+9xUfIHR+kB/CGa/X0h9WUSOy1FUu4kfrzIPh+DaM1ApgEkQdEEkGMlKJZ85CIJoIdgPSgSHC/BqRFYxhg7RK5Lqs5mki59uei1D7pzwdGfczsI7M/T8yILjUm2jj1I0jgga4BK5nIrkgrlZhjCXIYcnoBjc2AQUdm6YQiWvSQIkvNX4eojMHMTMPoCHHmSXRzJgQXJ43PuQ87gZyBwV9GigdEbguVLxuBfnJsQ5/q1zqZedmNJwDYR9n3rjXEDnqOxFCXt1SOmKzFTjtGRkOlvyZ94YBb/ngN+xlqMsuSv7UYLfEMM4bde6SO1ar17uuXvy4ZWrF+uUHIOD+VShd2gmC3nmqTV8QTBcBiOz5YchlUJrBe4vgBHfYTpZ+Aw8Y4cYbVXS+5q9CeBuOWbsWKV3eQhbsHunXwq38e2pPwcOpxbk8E1aLrXtCLrqgDIJuRQW3MGWJ4FVN03/rJqHi5pwNCSHEphrh701B8vgHmGepI5R3LHBIc3e5dPOqcvXcePC+CnnMCQB8ecI0kNrFNK4rfOjLF/Wn8+x95w71EGnxask+io/NpQI6+1Y46V0+1O2EDKq6FpfeWZI/VX+3FVR95yj0Lgv3Ck5uQ9W3I3mkoBwD9/5eAAUnO6ni3GFMlTPMyY4tEuUNwLkX4fyo33yEIz6TIEq0dgr1+BC0Zg1AxcuADbOADraTpT7dYo3vLZ6cUZO9xyrCzxLpO/akWS8jM/DxWHkMP7PT9S1gRkugxZH4bImpArwly+KbdrOrgWOyPSxW7AMCbZJEimufnPLNqR4ql+svp079C33FpgwK6IVuA/dhafodHFNo++FJHKcwJfkjP4v/vhduaGvxPH38BjMrMfc0DRp7LHmXbxJKmC06byrNOegEezFrES5hvP/lbwLD6//WWVD7zlDkDh5x3wSZeXseYJF+fZZL/zylP4E3x2+ylB/QD4cl4qx/ZhK/4cL/pG0X2O56FMCGl1biEOq/xfuwSRR5ZJNC5aoRAUqbBdtERR8Yob7Yndbw+OtdhhCfdtAvpx4LWqa/IETd4p8RBk7RqU2QMRLkC1lqFKgMxyUACa3hd3ug7bBFzzrbxbIkGytCQbKezsJCw7kxEkV/W2GTCQPD7njlqHv+lD4CSQwzf7YjzybaHwz8+Oiq/2Y8p4TJYijsrso1bI90s/B+voOW6Q5yiktDLJzlwN9df7UXrHkj83hv/Iwf+EBOwitsiSvz9WCr89va9/jdL6Mh/dluIpiOMH8mZ6ZUwxXYAa3weRLEHZZUifbGmRCLLyabLlKalKLOGtwWgWYjAr/Sps/X0w+gW46QOw3los9RgHwFocXHAsz7wLJMuGYHNjkJNHIa5eglpegCqtyHgZat8IJC1ID5BDREQIgiQrTHQNlkCZLMA2WYpoYJvDMHS39x6EmZmGmzwKU9B/vLHSvokDBpIPXXOfFMDPCuHrFhjsyfmRDt9LBX59ely83JeHEsBDM25fYPBp5yx76bQ/3ZQeJlOs8N0qV/etLvZScDOtQJ3qV8nfA5fdp53F3wZwwNOKHFwBjs8Y4DcGjprTIwN9fBYyfhyC8XvGFAmKo0x0LkNmMZQbhaC1OFTRNuDzQlDkcyILi5FW48IIDPmLZW+WntYi526AnpfBcat7PbEVkHyiMEfOA5JMAiZqxnx32Jz2s7wAHTahIpkDJKtLqGNKX4/V/r59Yw2m5TxP0iQWJrgKuzgKO7YX2RXkvScK0mrekGdANSRpEYX78IRVeMK3ji2Vf7wrjD9pAf9bP3UEj0+3jspAf0pIMe7fNN2tXW9QW52X/KmvvvCA6EvJ35EZ9z5E+K+cwGO0itrACLypgH/20gHxVL9eHv05boXEXdByeoFi1VLMAigCIg0IWo08L0/LKaxFAqM+CLNwBVbMwgV1mDq7+b0A54UjytrolbbLhQrjzky8rHXfBxscV1uSq2g/iadcQdWvQ4VLUOkYZNL0lTaSQBmxH07xZoyLHreqBps42DZIMh6ZwQzvhyFI+rrt03Cnz8MOsrAFY2lhiL8JCaoSe+qPF7YQzO/jf39hDP+6b60avuTUYx/GlLH2w3DoKEX0ytumYp3TERdIhZHfee4wvtOPkr/D19y4Nvhb1uEnCAd0nwmO5Do4id8Z2od/eUaIpD8A1qej5sZD/owXGejjUxBzM1DpVch0KLcU0xaU0ZD1UUjbhLQUxiu8K28p1uDIF5ZkEGSwiymsqsP4bHQTdmgMpt2HnonMXLXbDZKV2GsG7gxw7AZJSrFPQEydzEsQJwA5PwtFlZ+6goollLcih/OFQQsyqkNYpiiYqShcbeU6QbJmYEgkj96EZd/bxjIsOyV29LwdILehvG0PX3WPOIn/kk0KC8fHxySFwIwz+F9e3Ce+3qfHFyeefath9h78uHD2EZ/3zZ/mDuEJKdw5O6S+2peSP+fUkWv4qzD4eQiwfKCUErNC4N8Kg994+S7xdr+uvy/HXSsDfQyy+RyUuRtyeBHKg+I4pLma84TpTZX0HFGDwzKgoryQgsCoExhyGBdjmHAUhp38aCicOd2RiR5YClz3XNxZ4OjdwkoZYimHxgQ1lX4OQy5ehqprqFBBpQJStqCzBqRpQgbSJyrKB9TFEZxs5u526mACB1uzMJcMTPA27NKDyEj/YdKmqA8t3e2Biq34RcGerfNerv/nILHXa0fmCSyC5DecxT99cY9gA8m+fCioIRJ8xhl7j2DrLSetUvJSjOWvnHtPo2jsu71DP3DFfeQdCPi7zuFwW19RwDqLF+DwT1452Md+4tt7KStHW7EWc6vxLCS5ikkEmTADfQCysQSV5daiB0UbF4LKxVEIjDKCZdkfEy+6RkI97BLBsQUTHYOpTcNOJz69l2fuO9oNDJb7fGe71b2urkvMwscipyEZfB4j7eeu3IoMZW5JBiJ/k5YAadjkit5VK397agub1WCSJdiwDtMwyN60sPUMZnQCZnY6p/+czpM1paIIsXZHElzXWhBs9jQ2hP/EOXzWiydQ+YcxyZy68q9chi/2s3XsIxfcwwLmA1Ko7z57H1u1bf/9O3LVvUda/D0n8ElP4CZfkaAIXLbAr1/Yhz8YOJewBMVcDbsDFEcCqHgRKmOyRUOZFlSUQLmG95ZkybFi7F0sw8kQVhnYVgqjQxgaB4vDMOpNWMYW6TF18RZvu4JOP941d57l2HGXOipsxMlCDm1pKNeLXAxyK5K8SCWhA5kDJOORYR3SzEOGFHGI4GLAESRpSabLsPV7kF55CzYagolHkUVnYUdHYWYrHMknOygM2/+Q92NBlMc8esVNBgp/5502sWzfmscic6Qit++fncvjkRUWYj/PZnuOzZK/4QB/C8DPUJ2/4kIzlvi7Cw5fnO2HWs/2nP7qo/TQVSxDSaTltJagh6MV97nGtU1wnIPCUKUxHhvlMbYYwYoluGAcWXMeNgyRhcMwc28VscUpmKJIokyhDSxrYyNTcoeDY4eb7cNZpP1QEm1mGooVAKNM1lyFivcWGW1akU0omUCbvQVARhAu8baESyKvHUkxC5stwZhJZNFCnt1umpz+M38Qxidtvgh3mhp1XygC1P4MBgsk3zfnPiQdfuEdsjM7E3K9SJfXbE9rgV89Mya+tZGFdlu3cU4cuYq/IoBfhAObh7VVcwTwVJbiVy8c6l/IoC/X3lXuV81Ak8DdSKAzFkRchWaihaDIBKR3odnkqvy0gJgxRRZEBDByATYOYcIDyBYzmDCFoS6qtxZLMvcAr+fNzMWdD47l3ejiRnrl8SJhQ9pP4zI0qwBaCko1oQMmbgiQQ5CBgAwICklO/6G0gGF5FBM2EWywDJNZmLSGLOoBkgNfs+2cenAOPymAn6dCH8GxyGqTRP5nJsI/nh4SM5tZeLdq26PX3ON8NVmHE0XVjU+4CIHz1uAfvTKo1Jy81alvS3B0DHJ5Dip9D+SIhiJ5mzHFKIU2I5BGejc6b9RGefw4f9H7l30I44Exg2llMEy6LJHUzdjiKExZLebDRZ+tdAHMI/MDFTLa7Jp794Bj9c6svHW9q00xC+pw7gPkIqDC16BDxmlG81hkHEPrBMrWIHUCiQgoLcks9LL3luAY2AIkM2R0t5MUGRWA5pswFLY4s2Kx8Gx2fG1p92I6esWNKoX/XACfdaTflPFI0mwcfnt+HL/5phDLm12E/dj+/kvuoNT4BxD4CUaAPSAyvigx5xx+/fxe/HbfaEr9uKAeGeiSlkNLMatBjWjIJISOrkGTq2glJBOPPgudQHjleLrPgb8XThkYgmOcwQQhsiXGGMtMdAzrpcXKhMuAcnpvZireneDo71hnPJJiFqywYcJm7yTk4nno+v48YbPcQsB4pJZQTNRYkYMksy0igkvyFg0eJBmPNIzVGGRZHRnpP+RILqQwQ0swFeXjlQzfgLnaR6+7B7TEfwOLj3oCeU4UZkzysrD4tRfH8Xu3K3xw3Lmwdd1buH8H1lfUexea9CAI/F9NjX/yxijfhQP0qSZbrr3TMehjEMxAN+eh0kmoobegs71FooUxxRQ6pAtN9gWtxYRd0HNLkVZiQje6AEWdImM2mpnosIHMq3RPw10YgakIRQzci3w7ZvddDI4VgKS4LqsHnoCYKtozsLpm7ir0sIRcpputoRXjOEOQKoUOal5k1wMk38pIgKwBI2M4b0UGyNKaF7TIjEXGeCQz29dey0mzY3OwHSTyAXRTHrrmTjqBv5u3Zs9J5P6FATxvgP9helz8xXYs0o0e48hVx9ann/etbOk2Fu1PBfCtd375/Mt9bGW70XPc1HZVa5Eu9IEKLSeA8lzFACpJEUQExSSnqHlQTIu5COG4NkWQxxWTAEYbZDqCiQ3McoxMF5nokSFkPek5A/by3tQ9vsHG73JwLO7MWtxIQI5eglpcgq6HUPG4p/rooAUlJXSWQOlabknaxGe2kYZwSQwnW7DBiO+/nKUWJqohu2q9RelBcmICGWu2p496PdeyFHHgqgoocrv4AH6aUl4ARovMds6xc/hDmeEfvTDRn9YE5bo+PO8eCgz+Rwd8vKAceSkx5/AmHH7l5f3i32zXA3PLjlPlK56FooRY8iBkSctJIuiMVLQEOmBssQTFMrZYnKhkkqW0FsnPHUMWX0cWTuRrkZnoxjG+14uwT7Wd8QC+sLdzfnbBsTsWyd/LCpsRiLkpSKr9LM5DDR8oEjYSWsQIfEZ7CNL/yyw3IOKiFNG7MM672D6ekzmYdAkmM8hqKbLhSWTNS0Vm+yzsxNuwpwZEBLTXAnxo3u2DxS84tkjKtb9z/UjKe1j8Znwdv7ndrRpY8hcI/AMH/A2vel640M75cvnfiPfgf+1nu9rtfBDzSE9nAYMP9UxBLl+EIoGbtJzkCnS011uMBERtFVRAi5FaAWkhd5SnSlwawPi4ooFRGUwSIAtiZJ63WMYWz8F2uNB3IJl7q/O0C46r7lwPbmRRYTNah1qmO7MXcvEtBHtGPIFcSwGdLkArkSuZ2MWi0oaF3cOwHiSdz24bGyIzS97lzuomd7fHYmRzh2CY5/GZ7arQ7oC5NEcX3LF3CMT/PYAf7FD9AS4KiV8+Nyr+YKuLtb2fc+qBOfyscPglABSvKKk5tMB/31l8/uV94vWbHudWHaCbr/gExFFSzbTv4a4bh6HpPteYiVbQAV/GDShzJQ/veFAMAZdC+GTLPFyqYbIGMrkEE2hkcYSMGekwgWnVkfq2xZQV+xGYQth5YIVU+jVNu+C41p2t8MhKSbSyhw25kVQeJ+1n+QqC0QA6GYbWAooAafiTQnHBarqXS4AJYFUAY1ow3t1eRmb3Io0uwpgYGSXSfNLmEExbQ3KA+WTvnXM/Jh3+oQMmixJEL4/G+J9Q+KUXh8X3trKoj15zn3xHbvV/ZuFau+Qvz0Q/LzX+/rlR8edbOe5t2ae7Z8spSGorLrEG+hIUXeiEluFlBMmYD+PoIIO2dUh9DZrsibawBHslBbApG8ox3m1gCIypQkrPJUgLa3ERZmgKhm2KT68oc9+RFS43O6e74LiRO1jGfyq8stZRyLHZ/G2ulqGXQgRKQafSA6SWab54ZVqob3MVB3BZ4jPbnhfJRcuYJBM2JkLasjD1FNnS/o6a7YGVR6PIbbTXZ47/tgMavr927v4ya/N/Golf2Wjr2Ieb7r40xq8K4D8o44oQHhQvO4Ffnh7Db/VDrWcjy2NL23Qp5lRBkVbi0DJ0GkMHBoGZgPJxxUVoTWoOixIKF9rzFQmKC3ByCBnd6EAjnQuRqTmYZhMZ15kXiihd6Kqk2Ls8rnijudsFx42u7K540PGzUHzDe0m0y1Bh4BeubhXxSNJ+RIqAiZt2VrsQtcj4lne+IiGju01wDAmQBMoa0paBaaTI5mKYsUmYVaonA+ZqPzzrDpkQ/1A4/GTZ8KuISS46i18L38RvrtWq4W7nhhrz+PuAr9KJ2iV/QCKAL6YOv9JP7cmNLo8Nb9e5jiTZEVdOQTUZRxyCGp6ASprQUQydBAjIkrACSmdQNs0z0X4sLrwhWBHDZtrHFr21qFJkSYIsHEdapefMzMN4zuIdJCm24Xu+xQ13wXGzN67COZs6kjf6oj7e2CRUcD13tXUTWo1AxzEC1mzTiqSrrQqOZDlkAZDGA2QLxgZICZDkSLoa0jhDVi1H9CTyAV7cD153H4TALzvgA0UCJefhAa8I4Je+Pyb+pDod75tzf805/E8QOTWnElv8Uyj84ksj4oXNTt9t3b6agT4NycoWeiAtVmcxnkjKWIKAyZZAQZOvSG/EZlAuhAjSvOwv5ctV+1i2yTQytQyTMtmSIktDH0/MKBTB0j9ya6fninYFAyzQfDvmbRcct3LXq3Wt8NxIeeUCFCXRyI2k2k+z4EYKlQNkKqHrKXQmoEj9YWY7zcf2ViR/WhZZUFiQBMqoAMl2zXYTZt9hmNOn4HCyUP8ZNLfIOfG+efzVdzog/HdwOFRUbfjM9jsqOV+GxN9zBnUB/BoEPlpSg/IiF0xD4BenR8UfbmXabts+pbVIFsQRSExBTD4NFY9BZYdyF5pcxbHA03N0liGg+2wyaMeCA0rHpXlYJuVaYVxRIyPzIcuQaY00YVyxjmzpMky4iKytnsN66FnfSTNPuAyY13Hb5qwSzL2d5zCYY1drtZ+E9FZkHYKu9tJZ6LFjkNE8tGghkBpBIqGHUui05he/VmwnG67QL+hqZ7mghdEWWStAyn9LV5uZ7WQM2cJFmD2HkHkl8m45+gFa+Aeda4zP4xes8yK7tVL1h3FE56AhKnQgqnEL/ApG8E+nhYgHZsFUXOiylp8v0Wbd1z/rRgil5xGmY7mlSCuRgMgfWosBy/5CCIKiSApgpIdRQ+rd6ABZmCBN9yGNMmQLGUwU5/XQbf5smdQbtJfoDpjkXcvxZiehi4Zx8olc8YeNvmZnoYMgd7VVK0/YQCFgLNLUoNJlBLoBqTJf0eAfArpLyymcbnmLILMEyBAZQiTGIB0i/WccZvgiDOk/hdDuwCZtHrrmDhuJXxYOP9Fu9lWI7BZT87ta4799odFfIvnNLoOO/XvEp9ndb+ESdGMJOgmhIq6LDCFBUS4jIGex6kKzbt1TcxQMgZEJPKWQmSGkrHDJMqThNWTpONLlIWS1lv+x0TNwZ54oCgtKzuIAvTS3dR5u8mC74HiTN7C9e7e4bkHgJYF8LipcbT4ALQTD+6HjOQRCIqAVKRlwZw+jsnVsChAkGYtkGWLT5e62M0hdhNRYpI0RZK1ZmDJps0r5Z8AeiPcuuE8Ig3/sgEepQC6A7zjgv35pTHxzu6ao78epUnM+yc48EEfZ3O1iTstpBtAx6/RTBKWlmJk87OJd6Ch/SSLIA4vS5v27mbCzEmnKsr8UaaiQpgHS2iSyhUsw9YMw+1CEW6ouNC94wNZB3+doEwPsguMmbtaGN61Qf46fhFwqyhBJII80NOOQdLNrCULGmvhwCJFnJZm0cUHe+Y00DathWAJm4zxh4yzSYAmZY/KmhjTJkA3vQTYPmEZZaZM/ILkQ6SA9HF9y6n0/jJ+l/vr3x/E7g3PuXR3+ChI3ZcSS+6DKZIvKEGYagTIILC1Gg4DcWGugOOdBAKQERcDSYlQW2XLLW4xpoJCaFGmcIqtppHSflxq5tTjoJagbfq5u8Ya74NivG16RRWOy4TgFLZjVjqCaGmpPC8HyGAJfhpgiIGC+U0GiTQjFeJPMfMwtjxTRimQHU8YjW8jcEBLrvBxaupAh9dJoMTI+LPUyabPSruFdqajSr2ldddwqXzGfZ8l5jiOoBosDmJgLECQJAmURku5Fa9GDIjmxBgy2+IaHaQpHUDQWRjKkkuWxRTOMJM2QMhu93EIWjMBwni8chsEgJ+du2SRtbaBdcNzafdvgXl2yaEUfm+UG1MghqOacD8QHqgBINQTtXW0BLZoI6G6DVmRB4fAVIXVkMoZxATLbREoL0tLVns+tisYk0gXADAFm+nQXhWOQrMgN3uHbtlk1A130bJkc9RJisnENOtZeoCRIOL9LCIuYovcS+PLz3MWyDj+FM2xiFeecV62QMhNtFJIy4bLMrHQG05hARg/hTHdjq9253falsAuO235Lexywqsc3AUFXe+5pqLGjuRUZUg6NCZthaFe42lJ5cPSZbVI5ynik0LkUl01ytyseQhpapJY/GVKTIc1qSD2JfMInbEwhsuva7Rp2H6Sbm/VqxdRJiMPMQFNbcQiqXkfAggClEaQpgozz2ERoa3kNvmtB6aDdpsAJAmPhQhuVz2Gmker830RfhVkOkdUayHY5izc3bZvdexccN3vHbmb7CgmYCuTMavsyRNZqX8+zlYsxQlJ/WILIHHUqEUgDLUMo0n9cBkmAJPVHpLklSReb7nZLIyFQMnHD+NRQjCxtIFsqrA322D75jrv9+ZXuiHe81P3NTFfHvtVkyzEIUrcojkwvoBVBU3A2qCNIQgSa85flwGhq0FETgQshGVtE9g4Nni84gmKETDlkWQwTSCRWIWHShdZithdJjfSctOJC5/M2uO1/t20ybs2BdsHx1tznzlGqCZsDkKR5MKM5tAQd1aDVeJ7QidFuAAAU7ElEQVS0aSUIJS2OFEGaIRAZAkWQpCVJkHRwhpUSgIk1Mk05Ko3UNZE2NZIaQbKatLlQtNXMGyXtPmQbnfuul9psGVechKq/hiAMoWPOUYBwyCAkKKpaHhphXNEx4cLUGEFRw4qkUGnKs9CeohXy3xRpWeHC+DFdaKpyVypcBi/JttF7vAO32wXH2zEpXWosJwE5exZy4pj/V9cOQS3R1ZYI6GZLmQNjIv1/a0n6T564yUUcNJwh5QMwVnvaTxo4L2TBcsS0niHx5YijyJYvIiuVfyo9tgtVlju7YdKmp7ozroiynn7xHAJqK4YRdMxkS4qwTlDUCKRCyPmxFtrVIZ3x1r4QKi/3449Rnr9KvmK6rJCULnRUQ7qcIis7/vlqqGpizU/27hxteh63uMMuOG7xxm3bbl31tmyaNEGwnIVeCqDDnBwcIEGIFKGsM0WDwAjosIXABrkV6TOeWW5JejebvEhakQES10LqShL5MFJ2dPBJm+l2T5sVEvnuw9fZX6hLRqwRQrfIVQwQqARBEiCUBiFfZIIUHSZcCkoWXWjPNHBePciQ0K/pPts84UJrcSHIky71JtKFEZhLTRiwsdWKdU9AHKj+4Nv2bNzmA+2C422egPbwKyRyKrXIuZI8fAgqnMvd7OUEIYEyShGi5gnk/oEk/cdTf1h0l3/e0X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",roe="data:image/png;base64,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",ioe="data:image/png;base64,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",soe="data:image/png;base64,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",rle="data:image/png;base64,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",ile=Be(37426),sle=Be(19150),ale=Be(55303),ole=Be(92691),lle=Be(99755),ule=Be(46016),cle="data:image/png;base64,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",dle=Be.p+"static/nltpbg.f01aad4b.png",fle=Be.p+"static/nltpbg2.303fcb0b.png",hB={title:"title___m9Fww",bg:"bg___f9tLu"},hle="data:image/png;base64,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Lt=fe.scanForClosingTag(Ct,Rt,null,jt);if(!Lt||Lt.tag!=Et)return!1;Rt=Lt.to}return!0}})},32855:function(Dt,Wn,Be){(function(fe){fe(Be(89780))})(function(fe){"use strict";var ct=fe.Pos;function mt(Nt,Lt){return Nt.line-Lt.line||Nt.ch-Lt.ch}var Tt="A-Z_a-z\\u00C0-\\u00D6\\u00D8-\\u00F6\\u00F8-\\u02FF\\u0370-\\u037D\\u037F-\\u1FFF\\u200C-\\u200D\\u2070-\\u218F\\u2C00-\\u2FEF\\u3001-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFFD",rt=Tt+"-:.0-9\\u00B7\\u0300-\\u036F\\u203F-\\u2040",ot=new RegExp("<(/?)(["+Tt+"]["+rt+"]*)","g");function at(Nt,Lt,Qt,yn){this.line=Lt,this.ch=Qt,this.cm=Nt,this.text=Nt.getLine(Lt),this.min=yn?Math.max(yn.from,Nt.firstLine()):Nt.firstLine(),this.max=yn?Math.min(yn.to-1,Nt.lastLine()):Nt.lastLine()}function dt(Nt,Lt){var Qt=Nt.cm.getTokenTypeAt(ct(Nt.line,Lt));return Qt&&/\btag\b/.test(Qt)}function Ct(Nt){if(!(Nt.line>=Nt.max))return Nt.ch=0,Nt.text=Nt.cm.getLine(++Nt.line),!0}function St(Nt){if(!(Nt.line<=Nt.min))return 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pe=de.lines[ce];if(pe==re)break;se+=pe.height}for(var be=de.parent;be;de=be,be=de.parent)for(var Ne=0;Ne<be.children.length;++Ne){var je=be.children[Ne];if(je==de)break;se+=je.height}return se}function Uo(re){if(re.height==0)return 0;for(var se=re.text.length,de,ce=re;de=_f(ce);){var pe=de.find(0,!0);ce=pe.from.line,se+=pe.from.ch-pe.to.ch}for(ce=re;de=oc(ce);){var be=de.find(0,!0);se-=ce.text.length-be.from.ch,ce=be.to.line,se+=ce.text.length-be.to.ch}return se}function Tl(re){var se=re.display,de=re.doc;se.maxLine=$r(de,de.first),se.maxLineLength=Uo(se.maxLine),se.maxLineChanged=!0,de.iter(function(ce){var pe=Uo(ce);pe>se.maxLineLength&&(se.maxLineLength=pe,se.maxLine=ce)})}var $o=function(re,se,de){this.text=re,ac(this,se),this.height=de?de(this):1};$o.prototype.lineNo=function(){return Ws(this)},ko($o);function vl(re,se,de,ce){re.text=se,re.stateAfter&&(re.stateAfter=null),re.styles&&(re.styles=null),re.order!=null&&(re.order=null),md(re),ac(re,de);var pe=ce?ce(re):1;pe!=re.height&&va(re,pe)}function dl(re){re.parent=null,md(re)}var gd={},ju={};function lf(re,se){if(!re||/^\s*$/.test(re))return null;var de=se.addModeClass?ju:gd;return de[re]||(de[re]=re.replace(/\S+/g,"cm-$&"))}function oo(re,se){var de=Dn("span",null,null,at?"padding-right: .1px":null),ce={pre:Dn("pre",[de],"CodeMirror-line"),content:de,col:0,pos:0,cm:re,trailingSpace:!1,splitSpaces:re.getOption("lineWrapping")};se.measure={};for(var pe=0;pe<=(se.rest?se.rest.length:0);pe++){var be=pe?se.rest[pe-1]:se.line,Ne=void 0;ce.pos=0,ce.addToken=Fu,Yi(re.display.measure)&&(Ne=Ml(be,re.doc.direction))&&(ce.addToken=Fd(ce.addToken,Ne)),ce.map=[];var je=se!=re.display.externalMeasured&&Ws(be);Rl(be,ce,_o(re,be,je)),be.styleClasses&&(be.styleClasses.bgClass&&(ce.bgClass=rr(be.styleClasses.bgClass,ce.bgClass||"")),be.styleClasses.textClass&&(ce.textClass=rr(be.styleClasses.textClass,ce.textClass||""))),ce.map.length==0&&ce.map.push(0,0,ce.content.appendChild(Wi(re.display.measure))),pe==0?(se.measure.map=ce.map,se.measure.cache={}):((se.measure.maps||(se.measure.maps=[])).push(ce.map),(se.measure.caches||(se.measure.caches=[])).push({}))}if(at){var We=ce.content.lastChild;(/\bcm-tab\b/.test(We.className)||We.querySelector&&We.querySelector(".cm-tab"))&&(ce.content.className="cm-tab-wrap-hack")}return rs(re,"renderLine",re,se.line,ce.pre),ce.pre.className&&(ce.textClass=rr(ce.pre.className,ce.textClass||"")),ce}function Ih(re){var se=$t("span","\u2022","cm-invalidchar");return se.title="\\u"+re.charCodeAt(0).toString(16),se.setAttribute("aria-label",se.title),se}function Fu(re,se,de,ce,pe,be,Ne){if(se){var je=re.splitSpaces?Nh(se,re.trailingSpace):se,We=re.cm.state.specialChars,Je=!1,yt;if(!We.test(se))re.col+=se.length,yt=document.createTextNode(je),re.map.push(re.pos,re.pos+se.length,yt),rt&&ot<9&&(Je=!0),re.pos+=se.length;else{yt=document.createDocumentFragment();for(var Ut=0;;){We.lastIndex=Ut;var Pn=We.exec(se),kt=Pn?Pn.index-Ut:se.length-Ut;if(kt){var gr=document.createTextNode(je.slice(Ut,Ut+kt));rt&&ot<9?yt.appendChild($t("span",[gr])):yt.appendChild(gr),re.map.push(re.pos,re.pos+kt,gr),re.col+=kt,re.pos+=kt}if(!Pn)break;Ut+=kt+1;var Dr=void 0;if(Pn[0]=="	"){var ni=re.cm.options.tabSize,Ei=ni-re.col%ni;Dr=yt.appendChild($t("span",tn(Ei),"cm-tab")),Dr.setAttribute("role","presentation"),Dr.setAttribute("cm-text","	"),re.col+=Ei}else Pn[0]=="\r"||Pn[0]==`
`?(Dr=yt.appendChild($t("span",Pn[0]=="\r"?"\u240D":"\u2424","cm-invalidchar")),Dr.setAttribute("cm-text",Pn[0]),re.col+=1):(Dr=re.cm.options.specialCharPlaceholder(Pn[0]),Dr.setAttribute("cm-text",Pn[0]),rt&&ot<9?yt.appendChild($t("span",[Dr])):yt.appendChild(Dr),re.col+=1);re.map.push(re.pos,re.pos+1,Dr),re.pos++}}if(re.trailingSpace=je.charCodeAt(se.length-1)==32,de||ce||pe||Je||be||Ne){var Ji=de||"";ce&&(Ji+=ce),pe&&(Ji+=pe);var bi=$t("span",[yt],Ji,be);if(Ne)for(var fs in Ne)Ne.hasOwnProperty(fs)&&fs!="style"&&fs!="class"&&bi.setAttribute(fs,Ne[fs]);return re.content.appendChild(bi)}re.content.appendChild(yt)}}function Nh(re,se){if(re.length>1&&!/  /.test(re))return re;for(var de=se,ce="",pe=0;pe<re.length;pe++){var be=re.charAt(pe);be==" "&&de&&(pe==re.length-1||re.charCodeAt(pe+1)==32)&&(be="\xA0"),ce+=be,de=be==" "}return ce}function Fd(re,se){return function(de,ce,pe,be,Ne,je,We){pe=pe?pe+" cm-force-border":"cm-force-border";for(var Je=de.pos,yt=Je+ce.length;;){for(var Ut=void 0,Pn=0;Pn<se.length&&(Ut=se[Pn],!(Ut.to>Je&&Ut.from<=Je));Pn++);if(Ut.to>=yt)return re(de,ce,pe,be,Ne,je,We);re(de,ce.slice(0,Ut.to-Je),pe,be,null,je,We),be=null,ce=ce.slice(Ut.to-Je),Je=Ut.to}}}function lm(re,se,de,ce){var pe=!ce&&de.widgetNode;pe&&re.map.push(re.pos,re.pos+se,pe),!ce&&re.cm.display.input.needsContentAttribute&&(pe||(pe=re.content.appendChild(document.createElement("span"))),pe.setAttribute("cm-marker",de.id)),pe&&(re.cm.display.input.setUneditable(pe),re.content.appendChild(pe)),re.pos+=se,re.trailingSpace=!1}function Rl(re,se,de){var ce=re.markedSpans,pe=re.text,be=0;if(!ce){for(var Ne=1;Ne<de.length;Ne+=2)se.addToken(se,pe.slice(be,be=de[Ne]),lf(de[Ne+1],se.cm.options));return}for(var je=pe.length,We=0,Je=1,yt="",Ut,Pn,kt=0,gr,Dr,ni,Ei,Ji;;){if(kt==We){gr=Dr=ni=Pn="",Ji=null,Ei=null,kt=1/0;for(var bi=[],fs=void 0,ia=0;ia<ce.length;++ia){var Ys=ce[ia],to=Ys.marker;if(to.type=="bookmark"&&Ys.from==We&&to.widgetNode)bi.push(to);else if(Ys.from<=We&&(Ys.to==null||Ys.to>We||to.collapsed&&Ys.to==We&&Ys.from==We)){if(Ys.to!=null&&Ys.to!=We&&kt>Ys.to&&(kt=Ys.to,Dr=""),to.className&&(gr+=" "+to.className),to.css&&(Pn=(Pn?Pn+";":"")+to.css),to.startStyle&&Ys.from==We&&(ni+=" "+to.startStyle),to.endStyle&&Ys.to==kt&&(fs||(fs=[])).push(to.endStyle,Ys.to),to.title&&((Ji||(Ji={})).title=to.title),to.attributes)for(var hl in to.attributes)(Ji||(Ji={}))[hl]=to.attributes[hl];to.collapsed&&(!Ei||_c(Ei.marker,to)<0)&&(Ei=Ys)}else Ys.from>We&&kt>Ys.from&&(kt=Ys.from)}if(fs)for(var Ou=0;Ou<fs.length;Ou+=2)fs[Ou+1]==kt&&(Dr+=" "+fs[Ou]);if(!Ei||Ei.from==We)for(var Zl=0;Zl<bi.length;++Zl)lm(se,0,bi[Zl]);if(Ei&&(Ei.from||0)==We){if(lm(se,(Ei.to==null?je+1:Ei.to)-We,Ei.marker,Ei.from==null),Ei.to==null)return;Ei.to==We&&(Ei=!1)}}if(We>=je)break;for(var sd=Math.min(je,kt);;){if(yt){var Gc=We+yt.length;if(!Ei){var Yl=Gc>sd?yt.slice(0,sd-We):yt;se.addToken(se,Yl,Ut?Ut+gr:gr,ni,We+Yl.length==kt?Dr:"",Pn,Ji)}if(Gc>=sd){yt=yt.slice(sd-We),We=sd;break}We=Gc,ni=""}yt=pe.slice(be,be=de[Je++]),Ut=lf(de[Je++],se.cm.options)}}}function um(re,se,de){this.line=se,this.rest=Da(se),this.size=this.rest?Ws(Jn(this.rest))-de+1:1,this.node=this.text=null,this.hidden=Vi(re,se)}function eh(re,se,de){for(var ce=[],pe,be=se;be<de;be=pe){var Ne=new um(re.doc,$r(re.doc,be),be);pe=be+Ne.size,ce.push(Ne)}return ce}var $c=null;function cm(re){$c?$c.ops.push(re):re.ownsGroup=$c={ops:[re],delayedCallbacks:[]}}function vp(re){var se=re.delayedCallbacks,de=0;do{for(;de<se.length;de++)se[de].call(null);for(var ce=0;ce<re.ops.length;ce++){var pe=re.ops[ce];if(pe.cursorActivityHandlers)for(;pe.cursorActivityCalled<pe.cursorActivityHandlers.length;)pe.cursorActivityHandlers[pe.cursorActivityCalled++].call(null,pe.cm)}}while(de<se.length)}function wu(re,se){var de=re.ownsGroup;if(de)try{vp(de)}finally{$c=null,se(de)}}var uf=null;function Fa(re,se){var de=Xs(re,se);if(de.length){var ce=Array.prototype.slice.call(arguments,2),pe;$c?pe=$c.delayedCallbacks:uf?pe=uf:(pe=uf=[],setTimeout(dm,0));for(var be=function(je){pe.push(function(){return de[je].apply(null,ce)})},Ne=0;Ne<de.length;++Ne)be(Ne)}}function dm(){var re=uf;uf=null;for(var se=0;se<re.length;++se)re[se]()}function u0(re,se,de,ce){for(var pe=0;pe<se.changes.length;pe++){var be=se.changes[pe];be=="text"?d0(re,se):be=="gutter"?fm(re,se,de,ce):be=="class"?xp(re,se):be=="widget"&&f0(re,se,ce)}se.changes=null}function th(re){return re.node==re.text&&(re.node=$t("div",null,null,"position: relative"),re.text.parentNode&&re.text.parentNode.replaceChild(re.node,re.text),re.node.appendChild(re.text),rt&&ot<8&&(re.node.style.zIndex=2)),re.node}function c0(re,se){var de=se.bgClass?se.bgClass+" "+(se.line.bgClass||""):se.line.bgClass;if(de&&(de+=" CodeMirror-linebackground"),se.background)de?se.background.className=de:(se.background.parentNode.removeChild(se.background),se.background=null);else if(de){var ce=th(se);se.background=ce.insertBefore($t("div",null,de),ce.firstChild),re.display.input.setUneditable(se.background)}}function Ap(re,se){var de=re.display.externalMeasured;return de&&de.line==se.line?(re.display.externalMeasured=null,se.measure=de.measure,de.built):oo(re,se)}function d0(re,se){var de=se.text.className,ce=Ap(re,se);se.text==se.node&&(se.node=ce.pre),se.text.parentNode.replaceChild(ce.pre,se.text),se.text=ce.pre,ce.bgClass!=se.bgClass||ce.textClass!=se.textClass?(se.bgClass=ce.bgClass,se.textClass=ce.textClass,xp(re,se)):de&&(se.text.className=de)}function xp(re,se){c0(re,se),se.line.wrapClass?th(se).className=se.line.wrapClass:se.node!=se.text&&(se.node.className="");var de=se.textClass?se.textClass+" "+(se.line.textClass||""):se.line.textClass;se.text.className=de||""}function fm(re,se,de,ce){if(se.gutter&&(se.node.removeChild(se.gutter),se.gutter=null),se.gutterBackground&&(se.node.removeChild(se.gutterBackground),se.gutterBackground=null),se.line.gutterClass){var pe=th(se);se.gutterBackground=$t("div",null,"CodeMirror-gutter-background "+se.line.gutterClass,"left: "+(re.options.fixedGutter?ce.fixedPos:-ce.gutterTotalWidth)+"px; width: "+ce.gutterTotalWidth+"px"),re.display.input.setUneditable(se.gutterBackground),pe.insertBefore(se.gutterBackground,se.text)}var be=se.line.gutterMarkers;if(re.options.lineNumbers||be){var Ne=th(se),je=se.gutter=$t("div",null,"CodeMirror-gutter-wrapper","left: "+(re.options.fixedGutter?ce.fixedPos:-ce.gutterTotalWidth)+"px");if(re.display.input.setUneditable(je),Ne.insertBefore(je,se.text),se.line.gutterClass&&(je.className+=" "+se.line.gutterClass),re.options.lineNumbers&&(!be||!be["CodeMirror-linenumbers"])&&(se.lineNumber=je.appendChild($t("div",ts(re.options,de),"CodeMirror-linenumber CodeMirror-gutter-elt","left: "+ce.gutterLeft["CodeMirror-linenumbers"]+"px; width: "+re.display.lineNumInnerWidth+"px"))),be)for(var We=0;We<re.display.gutterSpecs.length;++We){var Je=re.display.gutterSpecs[We].className,yt=be.hasOwnProperty(Je)&&be[Je];yt&&je.appendChild($t("div",[yt],"CodeMirror-gutter-elt","left: "+ce.gutterLeft[Je]+"px; width: "+ce.gutterWidth[Je]+"px"))}}}function f0(re,se,de){se.alignable&&(se.alignable=null);for(var ce=$n("CodeMirror-linewidget"),pe=se.node.firstChild,be=void 0;pe;pe=be)be=pe.nextSibling,ce.test(pe.className)&&se.node.removeChild(pe);nh(re,se,de)}function ag(re,se,de,ce){var pe=Ap(re,se);return se.text=se.node=pe.pre,pe.bgClass&&(se.bgClass=pe.bgClass),pe.textClass&&(se.textClass=pe.textClass),xp(re,se),fm(re,se,de,ce),nh(re,se,ce),se.node}function nh(re,se,de){if(hm(re,se.line,se,de,!0),se.rest)for(var ce=0;ce<se.rest.length;ce++)hm(re,se.rest[ce],se,de,!1)}function hm(re,se,de,ce,pe){if(se.widgets)for(var be=th(de),Ne=0,je=se.widgets;Ne<je.length;++Ne){var We=je[Ne],Je=$t("div",[We.node],"CodeMirror-linewidget"+(We.className?" "+We.className:""));We.handleMouseEvents||Je.setAttribute("cm-ignore-events","true"),cs(We,Je,de,ce),re.display.input.setUneditable(Je),pe&&We.above?be.insertBefore(Je,de.gutter||de.text):be.appendChild(Je),Fa(We,"redraw")}}function cs(re,se,de,ce){if(re.noHScroll){(de.alignable||(de.alignable=[])).push(se);var pe=ce.wrapperWidth;se.style.left=ce.fixedPos+"px",re.coverGutter||(pe-=ce.gutterTotalWidth,se.style.paddingLeft=ce.gutterTotalWidth+"px"),se.style.width=pe+"px"}re.coverGutter&&(se.style.zIndex=5,se.style.position="relative",re.noHScroll||(se.style.marginLeft=-ce.gutterTotalWidth+"px"))}function su(re){if(re.height!=null)return re.height;var se=re.doc.cm;if(!se)return 0;if(!vn(document.body,re.node)){var de="position: relative;";re.coverGutter&&(de+="margin-left: -"+se.display.gutters.offsetWidth+"px;"),re.noHScroll&&(de+="width: "+se.display.wrapper.clientWidth+"px;"),Kt(se.display.measure,$t("div",[re.node],null,de))}return re.height=re.node.parentNode.offsetHeight}function Ld(re,se){for(var de=Bn(se);de!=re.wrapper;de=de.parentNode)if(!de||de.nodeType==1&&de.getAttribute("cm-ignore-events")=="true"||de.parentNode==re.sizer&&de!=re.mover)return!0}function Fh(re){return re.lineSpace.offsetTop}function yp(re){return re.mover.offsetHeight-re.lineSpace.offsetHeight}function og(re){if(re.cachedPaddingH)return re.cachedPaddingH;var se=Kt(re.measure,$t("pre","x","CodeMirror-line-like")),de=window.getComputedStyle?window.getComputedStyle(se):se.currentStyle,ce={left:parseInt(de.paddingLeft),right:parseInt(de.paddingRight)};return!isNaN(ce.left)&&!isNaN(ce.right)&&(re.cachedPaddingH=ce),ce}function lc(re){return kr-re.display.nativeBarWidth}function cf(re){return re.display.scroller.clientWidth-lc(re)-re.display.barWidth}function lo(re){return re.display.scroller.clientHeight-lc(re)-re.display.barHeight}function lg(re,se,de){var ce=re.options.lineWrapping,pe=ce&&cf(re);if(!se.measure.heights||ce&&se.measure.width!=pe){var be=se.measure.heights=[];if(ce){se.measure.width=pe;for(var Ne=se.text.firstChild.getClientRects(),je=0;je<Ne.length-1;je++){var We=Ne[je],Je=Ne[je+1];Math.abs(We.bottom-Je.bottom)>2&&be.push((We.bottom+Je.top)/2-de.top)}}be.push(de.bottom-de.top)}}function Rd(re,se,de){if(re.line==se)return{map:re.measure.map,cache:re.measure.cache};for(var ce=0;ce<re.rest.length;ce++)if(re.rest[ce]==se)return{map:re.measure.maps[ce],cache:re.measure.caches[ce]};for(var pe=0;pe<re.rest.length;pe++)if(Ws(re.rest[pe])>de)return{map:re.measure.maps[pe],cache:re.measure.caches[pe],before:!0}}function ug(re,se){se=Gs(se);var de=Ws(se),ce=re.display.externalMeasured=new um(re.doc,se,de);ce.lineN=de;var pe=ce.built=oo(re,ce);return ce.text=pe.pre,Kt(re.display.lineMeasure,pe.pre),ce}function cg(re,se,de,ce){return vd(re,Lh(re,se),de,ce)}function au(re,se){if(se>=re.display.viewFrom&&se<re.display.viewTo)return re.display.view[zd(re,se)];var de=re.display.externalMeasured;if(de&&se>=de.lineN&&se<de.lineN+de.size)return de}function Lh(re,se){var de=Ws(se),ce=au(re,de);ce&&!ce.text?ce=null:ce&&ce.changes&&(u0(re,ce,de,pg(re)),re.curOp.forceUpdate=!0),ce||(ce=ug(re,se));var pe=Rd(ce,se,de);return{line:se,view:ce,rect:null,map:pe.map,cache:pe.cache,before:pe.before,hasHeights:!1}}function vd(re,se,de,ce,pe){se.before&&(de=-1);var be=de+(ce||""),Ne;return se.cache.hasOwnProperty(be)?Ne=se.cache[be]:(se.rect||(se.rect=se.view.text.getBoundingClientRect()),se.hasHeights||(lg(re,se.view,se.rect),se.hasHeights=!0),Ne=To(re,se,de,ce),Ne.bogus||(se.cache[be]=Ne)),{left:Ne.left,right:Ne.right,top:pe?Ne.rtop:Ne.top,bottom:pe?Ne.rbottom:Ne.bottom}}var Bf={left:0,right:0,top:0,bottom:0};function bp(re,se,de){for(var ce,pe,be,Ne,je,We,Je=0;Je<re.length;Je+=3)if(je=re[Je],We=re[Je+1],se<je?(pe=0,be=1,Ne="left"):se<We?(pe=se-je,be=pe+1):(Je==re.length-3||se==We&&re[Je+3]>se)&&(be=We-je,pe=be-1,se>=We&&(Ne="right")),pe!=null){if(ce=re[Je+2],je==We&&de==(ce.insertLeft?"left":"right")&&(Ne=de),de=="left"&&pe==0)for(;Je&&re[Je-2]==re[Je-3]&&re[Je-1].insertLeft;)ce=re[(Je-=3)+2],Ne="left";if(de=="right"&&pe==We-je)for(;Je<re.length-3&&re[Je+3]==re[Je+4]&&!re[Je+5].insertLeft;)ce=re[(Je+=3)+2],Ne="right";break}return{node:ce,start:pe,end:be,collapse:Ne,coverStart:je,coverEnd:We}}function uc(re,se){var de=Bf;if(se=="left")for(var ce=0;ce<re.length&&(de=re[ce]).left==de.right;ce++);else for(var pe=re.length-1;pe>=0&&(de=re[pe]).left==de.right;pe--);return de}function To(re,se,de,ce){var pe=bp(se.map,de,ce),be=pe.node,Ne=pe.start,je=pe.end,We=pe.collapse,Je;if(be.nodeType==3){for(var yt=0;yt<4;yt++){for(;Ne&&Yn(se.line.text.charAt(pe.coverStart+Ne));)--Ne;for(;pe.coverStart+je<pe.coverEnd&&Yn(se.line.text.charAt(pe.coverStart+je));)++je;if(rt&&ot<9&&Ne==0&&je==pe.coverEnd-pe.coverStart?Je=be.parentNode.getBoundingClientRect():Je=uc(nn(be,Ne,je).getClientRects(),ce),Je.left||Je.right||Ne==0)break;je=Ne,Ne=Ne-1,We="right"}rt&&ot<11&&(Je=gA(re.display.measure,Je))}else{Ne>0&&(We=ce="right");var Ut;re.options.lineWrapping&&(Ut=be.getClientRects()).length>1?Je=Ut[ce=="right"?Ut.length-1:0]:Je=be.getBoundingClientRect()}if(rt&&ot<9&&!Ne&&(!Je||!Je.left&&!Je.right)){var Pn=be.parentNode.getClientRects()[0];Pn?Je={left:Pn.left,right:Pn.left+Pp(re.display),top:Pn.top,bottom:Pn.bottom}:Je=Bf}for(var kt=Je.top-se.rect.top,gr=Je.bottom-se.rect.top,Dr=(kt+gr)/2,ni=se.view.measure.heights,Ei=0;Ei<ni.length-1&&!(Dr<ni[Ei]);Ei++);var Ji=Ei?ni[Ei-1]:0,bi=ni[Ei],fs={left:(We=="right"?Je.right:Je.left)-se.rect.left,right:(We=="left"?Je.left:Je.right)-se.rect.left,top:Ji,bottom:bi};return!Je.left&&!Je.right&&(fs.bogus=!0),re.options.singleCursorHeightPerLine||(fs.rtop=kt,fs.rbottom=gr),fs}function gA(re,se){if(!window.screen||screen.logicalXDPI==null||screen.logicalXDPI==screen.deviceXDPI||!gi(re))return se;var de=screen.logicalXDPI/screen.deviceXDPI,ce=screen.logicalYDPI/screen.deviceYDPI;return{left:se.left*de,right:se.right*de,top:se.top*ce,bottom:se.bottom*ce}}function pm(re){if(re.measure&&(re.measure.cache={},re.measure.heights=null,re.rest))for(var se=0;se<re.rest.length;se++)re.measure.caches[se]={}}function Ep(re){re.display.externalMeasure=null,hr(re.display.lineMeasure);for(var se=0;se<re.display.view.length;se++)pm(re.display.view[se])}function Rh(re){Ep(re),re.display.cachedCharWidth=re.display.cachedTextHeight=re.display.cachedPaddingH=null,re.options.lineWrapping||(re.display.maxLineChanged=!0),re.display.lineNumChars=null}function dg(){return Ct&&xt?-(document.body.getBoundingClientRect().left-parseInt(getComputedStyle(document.body).marginLeft)):window.pageXOffset||(document.documentElement||document.body).scrollLeft}function iv(){return Ct&&xt?-(document.body.getBoundingClientRect().top-parseInt(getComputedStyle(document.body).marginTop)):window.pageYOffset||(document.documentElement||document.body).scrollTop}function h0(re){var se=0;if(re.widgets)for(var de=0;de<re.widgets.length;++de)re.widgets[de].above&&(se+=su(re.widgets[de]));return se}function mm(re,se,de,ce,pe){if(!pe){var be=h0(se);de.top+=be,de.bottom+=be}if(ce=="line")return de;ce||(ce="local");var Ne=Ya(se);if(ce=="local"?Ne+=Fh(re.display):Ne-=re.display.viewOffset,ce=="page"||ce=="window"){var je=re.display.lineSpace.getBoundingClientRect();Ne+=je.top+(ce=="window"?0:iv());var We=je.left+(ce=="window"?0:dg());de.left+=We,de.right+=We}return de.top+=Ne,de.bottom+=Ne,de}function fg(re,se,de){if(de=="div")return se;var ce=se.left,pe=se.top;if(de=="page")ce-=dg(),pe-=iv();else if(de=="local"||!de){var be=re.display.sizer.getBoundingClientRect();ce+=be.left,pe+=be.top}var Ne=re.display.lineSpace.getBoundingClientRect();return{left:ce-Ne.left,top:pe-Ne.top}}function Oh(re,se,de,ce,pe){return ce||(ce=$r(re.doc,se.line)),mm(re,ce,cg(re,ce,se.ch,pe),de)}function wc(re,se,de,ce,pe,be){ce=ce||$r(re.doc,se.line),pe||(pe=Lh(re,ce));function Ne(gr,Dr){var ni=vd(re,pe,gr,Dr?"right":"left",be);return Dr?ni.left=ni.right:ni.right=ni.left,mm(re,ce,ni,de)}var je=Ml(ce,re.doc.direction),We=se.ch,Je=se.sticky;if(We>=ce.text.length?(We=ce.text.length,Je="before"):We<=0&&(We=0,Je="after"),!je)return Ne(Je=="before"?We-1:We,Je=="before");function yt(gr,Dr,ni){var Ei=je[Dr],Ji=Ei.level==1;return Ne(ni?gr-1:gr,Ji!=ni)}var Ut=Ra(je,We,Je),Pn=Ii,kt=yt(We,Ut,Je=="before");return Pn!=null&&(kt.other=yt(We,Pn,Je!="before")),kt}function sv(re,se){var de=0;se=ws(re.doc,se),re.options.lineWrapping||(de=Pp(re.display)*se.ch);var ce=$r(re.doc,se.line),pe=Ya(ce)+Fh(re.display);return{left:de,right:de,top:pe,bottom:pe+ce.height}}function Mf(re,se,de,ce,pe){var be=wr(re,se,de);return be.xRel=pe,ce&&(be.outside=ce),be}function wp(re,se,de){var ce=re.doc;if(de+=re.display.viewOffset,de<0)return Mf(ce.first,0,null,-1,-1);var pe=vo(ce,de),be=ce.first+ce.size-1;if(pe>be)return Mf(ce.first+ce.size-1,$r(ce,be).text.length,null,1,1);se<0&&(se=0);for(var Ne=$r(ce,pe);;){var je=m0(re,Ne,pe,se,de),We=$f(Ne,je.ch+(je.xRel>0||je.outside>0?1:0));if(!We)return je;var Je=We.find(1);if(Je.line==pe)return Je;Ne=$r(ce,pe=Je.line)}}function p0(re,se,de,ce){ce-=h0(se);var pe=se.text.length,be=qi(function(Ne){return vd(re,de,Ne-1).bottom<=ce},pe,0);return pe=qi(function(Ne){return vd(re,de,Ne).top>ce},be,pe),{begin:be,end:pe}}function hg(re,se,de,ce){de||(de=Lh(re,se));var pe=mm(re,se,vd(re,de,ce),"line").top;return p0(re,se,de,pe)}function Cp(re,se,de,ce){return re.bottom<=de?!1:re.top>de?!0:(ce?re.left:re.right)>se}function m0(re,se,de,ce,pe){pe-=Ya(se);var be=Lh(re,se),Ne=h0(se),je=0,We=se.text.length,Je=!0,yt=Ml(se,re.doc.direction);if(yt){var Ut=(re.options.lineWrapping?av:g0)(re,se,de,be,yt,ce,pe);Je=Ut.level!=1,je=Je?Ut.from:Ut.to-1,We=Je?Ut.to:Ut.from-1}var Pn=null,kt=null,gr=qi(function(ia){var Ys=vd(re,be,ia);return Ys.top+=Ne,Ys.bottom+=Ne,Cp(Ys,ce,pe,!1)?(Ys.top<=pe&&Ys.left<=ce&&(Pn=ia,kt=Ys),!0):!1},je,We),Dr,ni,Ei=!1;if(kt){var Ji=ce-kt.left<kt.right-ce,bi=Ji==Je;gr=Pn+(bi?0:1),ni=bi?"after":"before",Dr=Ji?kt.left:kt.right}else{!Je&&(gr==We||gr==je)&&gr++,ni=gr==0?"after":gr==se.text.length?"before":vd(re,be,gr-(Je?1:0)).bottom+Ne<=pe==Je?"after":"before";var fs=wc(re,wr(de,gr,ni),"line",se,be);Dr=fs.left,Ei=pe<fs.top?-1:pe>=fs.bottom?1:0}return gr=Tn(se.text,gr,1),Mf(de,gr,ni,Ei,ce-Dr)}function g0(re,se,de,ce,pe,be,Ne){var je=qi(function(Ut){var Pn=pe[Ut],kt=Pn.level!=1;return Cp(wc(re,wr(de,kt?Pn.to:Pn.from,kt?"before":"after"),"line",se,ce),be,Ne,!0)},0,pe.length-1),We=pe[je];if(je>0){var Je=We.level!=1,yt=wc(re,wr(de,Je?We.from:We.to,Je?"after":"before"),"line",se,ce);Cp(yt,be,Ne,!0)&&yt.top>Ne&&(We=pe[je-1])}return We}function av(re,se,de,ce,pe,be,Ne){var je=p0(re,se,ce,Ne),We=je.begin,Je=je.end;/\s/.test(se.text.charAt(Je-1))&&Je--;for(var yt=null,Ut=null,Pn=0;Pn<pe.length;Pn++){var kt=pe[Pn];if(!(kt.from>=Je||kt.to<=We)){var gr=kt.level!=1,Dr=vd(re,ce,gr?Math.min(Je,kt.to)-1:Math.max(We,kt.from)).right,ni=Dr<be?be-Dr+1e9:Dr-be;(!yt||Ut>ni)&&(yt=kt,Ut=ni)}}return yt||(yt=pe[pe.length-1]),yt.from<We&&(yt={from:We,to:yt.to,level:yt.level}),yt.to>Je&&(yt={from:yt.from,to:Je,level:yt.level}),yt}var zc;function Od(re){if(re.cachedTextHeight!=null)return re.cachedTextHeight;if(zc==null){zc=$t("pre",null,"CodeMirror-line-like");for(var se=0;se<49;++se)zc.appendChild(document.createTextNode("x")),zc.appendChild($t("br"));zc.appendChild(document.createTextNode("x"))}Kt(re.measure,zc);var de=zc.offsetHeight/50;return de>3&&(re.cachedTextHeight=de),hr(re.measure),de||1}function Pp(re){if(re.cachedCharWidth!=null)return re.cachedCharWidth;var se=$t("span","xxxxxxxxxx"),de=$t("pre",[se],"CodeMirror-line-like");Kt(re.measure,de);var ce=se.getBoundingClientRect(),pe=(ce.right-ce.left)/10;return pe>2&&(re.cachedCharWidth=pe),pe||10}function pg(re){for(var se=re.display,de={},ce={},pe=se.gutters.clientLeft,be=se.gutters.firstChild,Ne=0;be;be=be.nextSibling,++Ne){var je=re.display.gutterSpecs[Ne].className;de[je]=be.offsetLeft+be.clientLeft+pe,ce[je]=be.clientWidth}return{fixedPos:mg(se),gutterTotalWidth:se.gutters.offsetWidth,gutterLeft:de,gutterWidth:ce,wrapperWidth:se.wrapper.clientWidth}}function mg(re){return re.scroller.getBoundingClientRect().left-re.sizer.getBoundingClientRect().left}function gg(re){var se=Od(re.display),de=re.options.lineWrapping,ce=de&&Math.max(5,re.display.scroller.clientWidth/Pp(re.display)-3);return function(pe){if(Vi(re.doc,pe))return 0;var be=0;if(pe.widgets)for(var Ne=0;Ne<pe.widgets.length;Ne++)pe.widgets[Ne].height&&(be+=pe.widgets[Ne].height);return de?be+(Math.ceil(pe.text.length/ce)||1)*se:be+se}}function Sp(re){var se=re.doc,de=gg(re);se.iter(function(ce){var pe=de(ce);pe!=ce.height&&va(ce,pe)})}function df(re,se,de,ce){var pe=re.display;if(!de&&Bn(se).getAttribute("cm-not-content")=="true")return null;var be,Ne,je=pe.lineSpace.getBoundingClientRect();try{be=se.clientX-je.left,Ne=se.clientY-je.top}catch(Ut){return null}var We=wp(re,be,Ne),Je;if(ce&&We.xRel>0&&(Je=$r(re.doc,We.line).text).length==We.ch){var yt=ut(Je,Je.length,re.options.tabSize)-Je.length;We=wr(We.line,Math.max(0,Math.round((be-og(re.display).left)/Pp(re.display))-yt))}return We}function zd(re,se){if(se>=re.display.viewTo||(se-=re.display.viewFrom,se<0))return null;for(var de=re.display.view,ce=0;ce<de.length;ce++)if(se-=de[ce].size,se<0)return ce}function Lu(re,se,de,ce){se==null&&(se=re.doc.first),de==null&&(de=re.doc.first+re.doc.size),ce||(ce=0);var pe=re.display;if(ce&&de<pe.viewTo&&(pe.updateLineNumbers==null||pe.updateLineNumbers>se)&&(pe.updateLineNumbers=se),re.curOp.viewChanged=!0,se>=pe.viewTo)Ao&&Ti(re.doc,se)<pe.viewTo&&Df(re);else if(de<=pe.viewFrom)Ao&&Ai(re.doc,de+ce)>pe.viewFrom?Df(re):(pe.viewFrom+=ce,pe.viewTo+=ce);else if(se<=pe.viewFrom&&de>=pe.viewTo)Df(re);else if(se<=pe.viewFrom){var be=vg(re,de,de+ce,1);be?(pe.view=pe.view.slice(be.index),pe.viewFrom=be.lineN,pe.viewTo+=ce):Df(re)}else if(de>=pe.viewTo){var Ne=vg(re,se,se,-1);Ne?(pe.view=pe.view.slice(0,Ne.index),pe.viewTo=Ne.lineN):Df(re)}else{var je=vg(re,se,se,-1),We=vg(re,de,de+ce,1);je&&We?(pe.view=pe.view.slice(0,je.index).concat(eh(re,je.lineN,We.lineN)).concat(pe.view.slice(We.index)),pe.viewTo+=ce):Df(re)}var Je=pe.externalMeasured;Je&&(de<Je.lineN?Je.lineN+=ce:se<Je.lineN+Je.size&&(pe.externalMeasured=null))}function Tf(re,se,de){re.curOp.viewChanged=!0;var ce=re.display,pe=re.display.externalMeasured;if(pe&&se>=pe.lineN&&se<pe.lineN+pe.size&&(ce.externalMeasured=null),!(se<ce.viewFrom||se>=ce.viewTo)){var be=ce.view[zd(re,se)];if(be.node!=null){var Ne=be.changes||(be.changes=[]);Xn(Ne,de)==-1&&Ne.push(de)}}}function Df(re){re.display.viewFrom=re.display.viewTo=re.doc.first,re.display.view=[],re.display.viewOffset=0}function vg(re,se,de,ce){var pe=zd(re,se),be,Ne=re.display.view;if(!Ao||de==re.doc.first+re.doc.size)return{index:pe,lineN:de};for(var je=re.display.viewFrom,We=0;We<pe;We++)je+=Ne[We].size;if(je!=se){if(ce>0){if(pe==Ne.length-1)return null;be=je+Ne[pe].size-se,pe++}else be=je-se;se+=be,de+=be}for(;Ti(re.doc,de)!=de;){if(pe==(ce<0?0:Ne.length-1))return null;de+=ce*Ne[pe-(ce<0?1:0)].size,pe+=ce}return{index:pe,lineN:de}}function v0(re,se,de){var ce=re.display,pe=ce.view;pe.length==0||se>=ce.viewTo||de<=ce.viewFrom?(ce.view=eh(re,se,de),ce.viewFrom=se):(ce.viewFrom>se?ce.view=eh(re,se,ce.viewFrom).concat(ce.view):ce.viewFrom<se&&(ce.view=ce.view.slice(zd(re,se))),ce.viewFrom=se,ce.viewTo<de?ce.view=ce.view.concat(eh(re,ce.viewTo,de)):ce.viewTo>de&&(ce.view=ce.view.slice(0,zd(re,de)))),ce.viewTo=de}function Ag(re){for(var se=re.display.view,de=0,ce=0;ce<se.length;ce++){var pe=se[ce];!pe.hidden&&(!pe.node||pe.changes)&&++de}return de}function Bp(re){re.display.input.showSelection(re.display.input.prepareSelection())}function A0(re,se){se===void 0&&(se=!0);for(var de=re.doc,ce={},pe=ce.cursors=document.createDocumentFragment(),be=ce.selection=document.createDocumentFragment(),Ne=0;Ne<de.sel.ranges.length;Ne++)if(!(!se&&Ne==de.sel.primIndex)){var je=de.sel.ranges[Ne];if(!(je.from().line>=re.display.viewTo||je.to().line<re.display.viewFrom)){var We=je.empty();(We||re.options.showCursorWhenSelecting)&&x0(re,je.head,pe),We||ov(re,je,be)}}return ce}function x0(re,se,de){var ce=wc(re,se,"div",null,null,!re.options.singleCursorHeightPerLine),pe=de.appendChild($t("div","\xA0","CodeMirror-cursor"));if(pe.style.left=ce.left+"px",pe.style.top=ce.top+"px",pe.style.height=Math.max(0,ce.bottom-ce.top)*re.options.cursorHeight+"px",ce.other){var be=de.appendChild($t("div","\xA0","CodeMirror-cursor CodeMirror-secondarycursor"));be.style.display="",be.style.left=ce.other.left+"px",be.style.top=ce.other.top+"px",be.style.height=(ce.other.bottom-ce.other.top)*.85+"px"}}function xg(re,se){return re.top-se.top||re.left-se.left}function ov(re,se,de){var ce=re.display,pe=re.doc,be=document.createDocumentFragment(),Ne=og(re.display),je=Ne.left,We=Math.max(ce.sizerWidth,cf(re)-ce.sizer.offsetLeft)-Ne.right,Je=pe.direction=="ltr";function yt(bi,fs,ia,Ys){fs<0&&(fs=0),fs=Math.round(fs),Ys=Math.round(Ys),be.appendChild($t("div",null,"CodeMirror-selected","position: absolute; left: "+bi+`px;
                             top: `+fs+"px; width: "+(ia==null?We-bi:ia)+`px;
                             height: `+(Ys-fs)+"px"))}function Ut(bi,fs,ia){var Ys=$r(pe,bi),to=Ys.text.length,hl,Ou;function Zl(Yl,fc){return Oh(re,wr(bi,Yl),"div",Ys,fc)}function sd(Yl,fc,mu){var Jl=hg(re,Ys,null,Yl),kl=fc=="ltr"==(mu=="after")?"left":"right",Hl=mu=="after"?Jl.begin:Jl.end-(/\s/.test(Ys.text.charAt(Jl.end-1))?2:1);return Zl(Hl,kl)[kl]}var Gc=Ml(Ys,pe.direction);return es(Gc,fs||0,ia==null?to:ia,function(Yl,fc,mu,Jl){var kl=mu=="ltr",Hl=Zl(Yl,kl?"left":"right"),hc=Zl(fc-1,kl?"right":"left"),Yh=fs==null&&Yl==0,Of=ia==null&&fc==to,cu=Jl==0,ge=!Gc||Jl==Gc.length-1;if(hc.top-Hl.top<=3){var Ae=(Je?Yh:Of)&&cu,ye=(Je?Of:Yh)&&ge,Ie=Ae?je:(kl?Hl:hc).left,Ge=ye?We:(kl?hc:Hl).right;yt(Ie,Hl.top,Ge-Ie,Hl.bottom)}else{var Xe,Ye,qe,At;kl?(Xe=Je&&Yh&&cu?je:Hl.left,Ye=Je?We:sd(Yl,mu,"before"),qe=Je?je:sd(fc,mu,"after"),At=Je&&Of&&ge?We:hc.right):(Xe=Je?sd(Yl,mu,"before"):je,Ye=!Je&&Yh&&cu?We:Hl.right,qe=!Je&&Of&&ge?je:hc.left,At=Je?sd(fc,mu,"after"):We),yt(Xe,Hl.top,Ye-Xe,Hl.bottom),Hl.bottom<hc.top&&yt(je,Hl.bottom,null,hc.top),yt(qe,hc.top,At-qe,hc.bottom)}(!hl||xg(Hl,hl)<0)&&(hl=Hl),xg(hc,hl)<0&&(hl=hc),(!Ou||xg(Hl,Ou)<0)&&(Ou=Hl),xg(hc,Ou)<0&&(Ou=hc)}),{start:hl,end:Ou}}var Pn=se.from(),kt=se.to();if(Pn.line==kt.line)Ut(Pn.line,Pn.ch,kt.ch);else{var gr=$r(pe,Pn.line),Dr=$r(pe,kt.line),ni=Gs(gr)==Gs(Dr),Ei=Ut(Pn.line,Pn.ch,ni?gr.text.length+1:null).end,Ji=Ut(kt.line,ni?0:null,kt.ch).start;ni&&(Ei.top<Ji.top-2?(yt(Ei.right,Ei.top,null,Ei.bottom),yt(je,Ji.top,Ji.left,Ji.bottom)):yt(Ei.right,Ei.top,Ji.left-Ei.right,Ei.bottom)),Ei.bottom<Ji.top&&yt(je,Ei.bottom,null,Ji.top)}de.appendChild(be)}function y0(re){if(re.state.focused){var se=re.display;clearInterval(se.blinker);var de=!0;se.cursorDiv.style.visibility="",re.options.cursorBlinkRate>0?se.blinker=setInterval(function(){re.hasFocus()||zh(re),se.cursorDiv.style.visibility=(de=!de)?"":"hidden"},re.options.cursorBlinkRate):re.options.cursorBlinkRate<0&&(se.cursorDiv.style.visibility="hidden")}}function lv(re){re.state.focused||(re.display.input.focus(),If(re))}function yg(re){re.state.delayingBlurEvent=!0,setTimeout(function(){re.state.delayingBlurEvent&&(re.state.delayingBlurEvent=!1,zh(re))},100)}function If(re,se){re.state.delayingBlurEvent&&(re.state.delayingBlurEvent=!1),re.options.readOnly!="nocursor"&&(re.state.focused||(rs(re,"focus",re,se),re.state.focused=!0,nr(re.display.wrapper,"CodeMirror-focused"),!re.curOp&&re.display.selForContextMenu!=re.doc.sel&&(re.display.input.reset(),at&&setTimeout(function(){return re.display.input.reset(!0)},20)),re.display.input.receivedFocus()),y0(re))}function zh(re,se){re.state.delayingBlurEvent||(re.state.focused&&(rs(re,"blur",re,se),re.state.focused=!1,An(re.display.wrapper,"CodeMirror-focused")),clearInterval(re.display.blinker),setTimeout(function(){re.state.focused||(re.display.shift=!1)},150))}function gm(re){for(var se=re.display,de=se.lineDiv.offsetTop,ce=0;ce<se.view.length;ce++){var pe=se.view[ce],be=re.options.lineWrapping,Ne=void 0,je=0;if(!pe.hidden){if(rt&&ot<8){var We=pe.node.offsetTop+pe.node.offsetHeight;Ne=We-de,de=We}else{var Je=pe.node.getBoundingClientRect();Ne=Je.bottom-Je.top,!be&&pe.text.firstChild&&(je=pe.text.firstChild.getBoundingClientRect().right-Je.left-1)}var yt=pe.line.height-Ne;if((yt>.005||yt<-.005)&&(va(pe.line,Ne),bg(pe.line),pe.rest))for(var Ut=0;Ut<pe.rest.length;Ut++)bg(pe.rest[Ut]);if(je>re.display.sizerWidth){var Pn=Math.ceil(je/Pp(re.display));Pn>re.display.maxLineLength&&(re.display.maxLineLength=Pn,re.display.maxLine=pe.line,re.display.maxLineChanged=!0)}}}}function bg(re){if(re.widgets)for(var se=0;se<re.widgets.length;++se){var de=re.widgets[se],ce=de.node.parentNode;ce&&(de.height=ce.offsetHeight)}}function Ee(re,se,de){var ce=de&&de.top!=null?Math.max(0,de.top):re.scroller.scrollTop;ce=Math.floor(ce-Fh(re));var pe=de&&de.bottom!=null?de.bottom:ce+re.wrapper.clientHeight,be=vo(se,ce),Ne=vo(se,pe);if(de&&de.ensure){var je=de.ensure.from.line,We=de.ensure.to.line;je<be?(be=je,Ne=vo(se,Ya($r(se,je))+re.wrapper.clientHeight)):Math.min(We,se.lastLine())>=Ne&&(be=vo(se,Ya($r(se,We))-re.wrapper.clientHeight),Ne=We)}return{from:be,to:Math.max(Ne,be+1)}}function Ue(re,se){if(!Oa(re,"scrollCursorIntoView")){var de=re.display,ce=de.sizer.getBoundingClientRect(),pe=null;if(se.top+ce.top<0?pe=!0:se.bottom+ce.top>(window.innerHeight||document.documentElement.clientHeight)&&(pe=!1),pe!=null&&!Ot){var be=$t("div","\u200B",null,`position: absolute;
                         top: `+(se.top-de.viewOffset-Fh(re.display))+`px;
                         height: `+(se.bottom-se.top+lc(re)+de.barHeight)+`px;
                         left: `+se.left+"px; width: "+Math.max(2,se.right-se.left)+"px;");re.display.lineSpace.appendChild(be),be.scrollIntoView(pe),re.display.lineSpace.removeChild(be)}}}function Oe(re,se,de,ce){ce==null&&(ce=0);var pe;!re.options.lineWrapping&&se==de&&(se=se.ch?wr(se.line,se.sticky=="before"?se.ch-1:se.ch,"after"):se,de=se.sticky=="before"?wr(se.line,se.ch+1,"before"):se);for(var be=0;be<5;be++){var Ne=!1,je=wc(re,se),We=!de||de==se?je:wc(re,de);pe={left:Math.min(je.left,We.left),top:Math.min(je.top,We.top)-ce,right:Math.max(je.left,We.left),bottom:Math.max(je.bottom,We.bottom)+ce};var Je=it(re,pe),yt=re.doc.scrollTop,Ut=re.doc.scrollLeft;if(Je.scrollTop!=null&&(_n(re,Je.scrollTop),Math.abs(re.doc.scrollTop-yt)>1&&(Ne=!0)),Je.scrollLeft!=null&&(ur(re,Je.scrollLeft),Math.abs(re.doc.scrollLeft-Ut)>1&&(Ne=!0)),!Ne)break}return pe}function tt(re,se){var de=it(re,se);de.scrollTop!=null&&_n(re,de.scrollTop),de.scrollLeft!=null&&ur(re,de.scrollLeft)}function it(re,se){var de=re.display,ce=Od(re.display);se.top<0&&(se.top=0);var pe=re.curOp&&re.curOp.scrollTop!=null?re.curOp.scrollTop:de.scroller.scrollTop,be=lo(re),Ne={};se.bottom-se.top>be&&(se.bottom=se.top+be);var je=re.doc.height+yp(de),We=se.top<ce,Je=se.bottom>je-ce;if(se.top<pe)Ne.scrollTop=We?0:se.top;else if(se.bottom>pe+be){var yt=Math.min(se.top,(Je?je:se.bottom)-be);yt!=pe&&(Ne.scrollTop=yt)}var Ut=re.options.fixedGutter?0:de.gutters.offsetWidth,Pn=re.curOp&&re.curOp.scrollLeft!=null?re.curOp.scrollLeft:de.scroller.scrollLeft-Ut,kt=cf(re)-de.gutters.offsetWidth,gr=se.right-se.left>kt;return gr&&(se.right=se.left+kt),se.left<10?Ne.scrollLeft=0:se.left<Pn?Ne.scrollLeft=Math.max(0,se.left+Ut-(gr?0:10)):se.right>kt+Pn-3&&(Ne.scrollLeft=se.right+(gr?0:10)-kt),Ne}function Gt(re,se){se!=null&&(Un(re),re.curOp.scrollTop=(re.curOp.scrollTop==null?re.doc.scrollTop:re.curOp.scrollTop)+se)}function en(re){Un(re);var se=re.getCursor();re.curOp.scrollToPos={from:se,to:se,margin:re.options.cursorScrollMargin}}function ln(re,se,de){(se!=null||de!=null)&&Un(re),se!=null&&(re.curOp.scrollLeft=se),de!=null&&(re.curOp.scrollTop=de)}function Rn(re,se){Un(re),re.curOp.scrollToPos=se}function Un(re){var se=re.curOp.scrollToPos;if(se){re.curOp.scrollToPos=null;var de=sv(re,se.from),ce=sv(re,se.to);un(re,de,ce,se.margin)}}function un(re,se,de,ce){var pe=it(re,{left:Math.min(se.left,de.left),top:Math.min(se.top,de.top)-ce,right:Math.max(se.right,de.right),bottom:Math.max(se.bottom,de.bottom)+ce});ln(re,pe.scrollLeft,pe.scrollTop)}function _n(re,se){Math.abs(re.doc.scrollTop-se)<2||(fe||qs(re,{top:se}),er(re,se,!0),fe&&qs(re),Cs(re,100))}function er(re,se,de){se=Math.max(0,Math.min(re.display.scroller.scrollHeight-re.display.scroller.clientHeight,se)),!(re.display.scroller.scrollTop==se&&!de)&&(re.doc.scrollTop=se,re.display.scrollbars.setScrollTop(se),re.display.scroller.scrollTop!=se&&(re.display.scroller.scrollTop=se))}function ur(re,se,de,ce){se=Math.max(0,Math.min(se,re.display.scroller.scrollWidth-re.display.scroller.clientWidth)),!((de?se==re.doc.scrollLeft:Math.abs(re.doc.scrollLeft-se)<2)&&!ce)&&(re.doc.scrollLeft=se,pa(re),re.display.scroller.scrollLeft!=se&&(re.display.scroller.scrollLeft=se),re.display.scrollbars.setScrollLeft(se))}function ir(re){var se=re.display,de=se.gutters.offsetWidth,ce=Math.round(re.doc.height+yp(re.display));return{clientHeight:se.scroller.clientHeight,viewHeight:se.wrapper.clientHeight,scrollWidth:se.scroller.scrollWidth,clientWidth:se.scroller.clientWidth,viewWidth:se.wrapper.clientWidth,barLeft:re.options.fixedGutter?de:0,docHeight:ce,scrollHeight:ce+lc(re)+se.barHeight,nativeBarWidth:se.nativeBarWidth,gutterWidth:de}}var dr=function(re,se,de){this.cm=de;var ce=this.vert=$t("div",[$t("div",null,null,"min-width: 1px")],"CodeMirror-vscrollbar"),pe=this.horiz=$t("div",[$t("div",null,null,"height: 100%; min-height: 1px")],"CodeMirror-hscrollbar");ce.tabIndex=pe.tabIndex=-1,re(ce),re(pe),os(ce,"scroll",function(){ce.clientHeight&&se(ce.scrollTop,"vertical")}),os(pe,"scroll",function(){pe.clientWidth&&se(pe.scrollLeft,"horizontal")}),this.checkedZeroWidth=!1,rt&&ot<8&&(this.horiz.style.minHeight=this.vert.style.minWidth="18px")};dr.prototype.update=function(re){var se=re.scrollWidth>re.clientWidth+1,de=re.scrollHeight>re.clientHeight+1,ce=re.nativeBarWidth;if(de){this.vert.style.display="block",this.vert.style.bottom=se?ce+"px":"0";var pe=re.viewHeight-(se?ce:0);this.vert.firstChild.style.height=Math.max(0,re.scrollHeight-re.clientHeight+pe)+"px"}else this.vert.style.display="",this.vert.firstChild.style.height="0";if(se){this.horiz.style.display="block",this.horiz.style.right=de?ce+"px":"0",this.horiz.style.left=re.barLeft+"px";var be=re.viewWidth-re.barLeft-(de?ce:0);this.horiz.firstChild.style.width=Math.max(0,re.scrollWidth-re.clientWidth+be)+"px"}else this.horiz.style.display="",this.horiz.firstChild.style.width="0";return!this.checkedZeroWidth&&re.clientHeight>0&&(ce==0&&this.zeroWidthHack(),this.checkedZeroWidth=!0),{right:de?ce:0,bottom:se?ce:0}},dr.prototype.setScrollLeft=function(re){this.horiz.scrollLeft!=re&&(this.horiz.scrollLeft=re),this.disableHoriz&&this.enableZeroWidthBar(this.horiz,this.disableHoriz,"horiz")},dr.prototype.setScrollTop=function(re){this.vert.scrollTop!=re&&(this.vert.scrollTop=re),this.disableVert&&this.enableZeroWidthBar(this.vert,this.disableVert,"vert")},dr.prototype.zeroWidthHack=function(){var re=Nt&&!Rt?"12px":"18px";this.horiz.style.height=this.vert.style.width=re,this.horiz.style.pointerEvents=this.vert.style.pointerEvents="none",this.disableHoriz=new Ke,this.disableVert=new Ke},dr.prototype.enableZeroWidthBar=function(re,se,de){re.style.pointerEvents="auto";function ce(){var pe=re.getBoundingClientRect(),be=de=="vert"?document.elementFromPoint(pe.right-1,(pe.top+pe.bottom)/2):document.elementFromPoint((pe.right+pe.left)/2,pe.bottom-1);be!=re?re.style.pointerEvents="none":se.set(1e3,ce)}se.set(1e3,ce)},dr.prototype.clear=function(){var re=this.horiz.parentNode;re.removeChild(this.horiz),re.removeChild(this.vert)};var lr=function(){};lr.prototype.update=function(){return{bottom:0,right:0}},lr.prototype.setScrollLeft=function(){},lr.prototype.setScrollTop=function(){},lr.prototype.clear=function(){};function Vn(re,se){se||(se=ir(re));var de=re.display.barWidth,ce=re.display.barHeight;Jr(re,se);for(var pe=0;pe<4&&de!=re.display.barWidth||ce!=re.display.barHeight;pe++)de!=re.display.barWidth&&re.options.lineWrapping&&gm(re),Jr(re,ir(re)),de=re.display.barWidth,ce=re.display.barHeight}function Jr(re,se){var de=re.display,ce=de.scrollbars.update(se);de.sizer.style.paddingRight=(de.barWidth=ce.right)+"px",de.sizer.style.paddingBottom=(de.barHeight=ce.bottom)+"px",de.heightForcer.style.borderBottom=ce.bottom+"px solid transparent",ce.right&&ce.bottom?(de.scrollbarFiller.style.display="block",de.scrollbarFiller.style.height=ce.bottom+"px",de.scrollbarFiller.style.width=ce.right+"px"):de.scrollbarFiller.style.display="",ce.bottom&&re.options.coverGutterNextToScrollbar&&re.options.fixedGutter?(de.gutterFiller.style.display="block",de.gutterFiller.style.height=ce.bottom+"px",de.gutterFiller.style.width=se.gutterWidth+"px"):de.gutterFiller.style.display=""}var Or={native:dr,null:lr};function Cr(re){re.display.scrollbars&&(re.display.scrollbars.clear(),re.display.scrollbars.addClass&&An(re.display.wrapper,re.display.scrollbars.addClass)),re.display.scrollbars=new Or[re.options.scrollbarStyle](function(se){re.display.wrapper.insertBefore(se,re.display.scrollbarFiller),os(se,"mousedown",function(){re.state.focused&&setTimeout(function(){return re.display.input.focus()},0)}),se.setAttribute("cm-not-content","true")},function(se,de){de=="horizontal"?ur(re,se):_n(re,se)},re),re.display.scrollbars.addClass&&nr(re.display.wrapper,re.display.scrollbars.addClass)}var ti=0;function Fr(re){re.curOp={cm:re,viewChanged:!1,startHeight:re.doc.height,forceUpdate:!1,updateInput:0,typing:!1,changeObjs:null,cursorActivityHandlers:null,cursorActivityCalled:0,selectionChanged:!1,updateMaxLine:!1,scrollLeft:null,scrollTop:null,scrollToPos:null,focus:!1,id:++ti},cm(re.curOp)}function Hr(re){var se=re.curOp;se&&wu(se,function(de){for(var ce=0;ce<de.ops.length;ce++)de.ops[ce].cm.curOp=null;_i(de)})}function _i(re){for(var se=re.ops,de=0;de<se.length;de++)Bi(se[de]);for(var ce=0;ce<se.length;ce++)Ni(se[ce]);for(var pe=0;pe<se.length;pe++)yi(se[pe]);for(var be=0;be<se.length;be++)ms(se[be]);for(var Ne=0;Ne<se.length;Ne++)Fi(se[Ne])}function Bi(re){var se=re.cm,de=se.display;Li(se),re.updateMaxLine&&Tl(se),re.mustUpdate=re.viewChanged||re.forceUpdate||re.scrollTop!=null||re.scrollToPos&&(re.scrollToPos.from.line<de.viewFrom||re.scrollToPos.to.line>=de.viewTo)||de.maxLineChanged&&se.options.lineWrapping,re.update=re.mustUpdate&&new Si(se,re.mustUpdate&&{top:re.scrollTop,ensure:re.scrollToPos},re.forceUpdate)}function Ni(re){re.updatedDisplay=re.mustUpdate&&Di(re.cm,re.update)}function yi(re){var se=re.cm,de=se.display;re.updatedDisplay&&gm(se),re.barMeasure=ir(se),de.maxLineChanged&&!se.options.lineWrapping&&(re.adjustWidthTo=cg(se,de.maxLine,de.maxLine.text.length).left+3,se.display.sizerWidth=re.adjustWidthTo,re.barMeasure.scrollWidth=Math.max(de.scroller.clientWidth,de.sizer.offsetLeft+re.adjustWidthTo+lc(se)+se.display.barWidth),re.maxScrollLeft=Math.max(0,de.sizer.offsetLeft+re.adjustWidthTo-cf(se))),(re.updatedDisplay||re.selectionChanged)&&(re.preparedSelection=de.input.prepareSelection())}function ms(re){var se=re.cm;re.adjustWidthTo!=null&&(se.display.sizer.style.minWidth=re.adjustWidthTo+"px",re.maxScrollLeft<se.doc.scrollLeft&&ur(se,Math.min(se.display.scroller.scrollLeft,re.maxScrollLeft),!0),se.display.maxLineChanged=!1);var de=re.focus&&re.focus==dn();re.preparedSelection&&se.display.input.showSelection(re.preparedSelection,de),(re.updatedDisplay||re.startHeight!=se.doc.height)&&Vn(se,re.barMeasure),re.updatedDisplay&&Ns(se,re.barMeasure),re.selectionChanged&&y0(se),se.state.focused&&re.updateInput&&se.display.input.reset(re.typing),de&&lv(re.cm)}function Fi(re){var se=re.cm,de=se.display,ce=se.doc;if(re.updatedDisplay&&Zs(se,re.update),de.wheelStartX!=null&&(re.scrollTop!=null||re.scrollLeft!=null||re.scrollToPos)&&(de.wheelStartX=de.wheelStartY=null),re.scrollTop!=null&&er(se,re.scrollTop,re.forceScroll),re.scrollLeft!=null&&ur(se,re.scrollLeft,!0,!0),re.scrollToPos){var pe=Oe(se,ws(ce,re.scrollToPos.from),ws(ce,re.scrollToPos.to),re.scrollToPos.margin);Ue(se,pe)}var be=re.maybeHiddenMarkers,Ne=re.maybeUnhiddenMarkers;if(be)for(var je=0;je<be.length;++je)be[je].lines.length||rs(be[je],"hide");if(Ne)for(var We=0;We<Ne.length;++We)Ne[We].lines.length&&rs(Ne[We],"unhide");de.wrapper.offsetHeight&&(ce.scrollTop=se.display.scroller.scrollTop),re.changeObjs&&rs(se,"changes",se,re.changeObjs),re.update&&re.update.finish()}function fi(re,se){if(re.curOp)return se();Fr(re);try{return se()}finally{Hr(re)}}function Wr(re,se){return function(){if(re.curOp)return se.apply(re,arguments);Fr(re);try{return se.apply(re,arguments)}finally{Hr(re)}}}function ii(re){return function(){if(this.curOp)return re.apply(this,arguments);Fr(this);try{return re.apply(this,arguments)}finally{Hr(this)}}}function ui(re){return function(){var se=this.cm;if(!se||se.curOp)return re.apply(this,arguments);Fr(se);try{return re.apply(this,arguments)}finally{Hr(se)}}}function Cs(re,se){re.doc.highlightFrontier<re.display.viewTo&&re.state.highlight.set(se,fn(is,re))}function is(re){var se=re.doc;if(!(se.highlightFrontier>=re.display.viewTo)){var de=+new Date+re.options.workTime,ce=Ho(re,se.highlightFrontier),pe=[];se.iter(ce.line,Math.min(se.first+se.size,re.display.viewTo+500),function(be){if(ce.line>=re.display.viewFrom){var Ne=be.styles,je=be.text.length>re.options.maxHighlightLength?xn(se.mode,ce.state):null,We=Qs(re,be,ce,!0);je&&(ce.state=je),be.styles=We.styles;var Je=be.styleClasses,yt=We.classes;yt?be.styleClasses=yt:Je&&(be.styleClasses=null);for(var Ut=!Ne||Ne.length!=be.styles.length||Je!=yt&&(!Je||!yt||Je.bgClass!=yt.bgClass||Je.textClass!=yt.textClass),Pn=0;!Ut&&Pn<Ne.length;++Pn)Ut=Ne[Pn]!=be.styles[Pn];Ut&&pe.push(ce.line),be.stateAfter=ce.save(),ce.nextLine()}else be.text.length<=re.options.maxHighlightLength&&Iu(re,be.text,ce),be.stateAfter=ce.line%5==0?ce.save():null,ce.nextLine();if(+new Date>de)return Cs(re,re.options.workDelay),!0}),se.highlightFrontier=ce.line,se.modeFrontier=Math.max(se.modeFrontier,ce.line),pe.length&&fi(re,function(){for(var be=0;be<pe.length;be++)Tf(re,pe[be],"text")})}}var Si=function(re,se,de){var ce=re.display;this.viewport=se,this.visible=Ee(ce,re.doc,se),this.editorIsHidden=!ce.wrapper.offsetWidth,this.wrapperHeight=ce.wrapper.clientHeight,this.wrapperWidth=ce.wrapper.clientWidth,this.oldDisplayWidth=cf(re),this.force=de,this.dims=pg(re),this.events=[]};Si.prototype.signal=function(re,se){vi(re,se)&&this.events.push(arguments)},Si.prototype.finish=function(){for(var re=0;re<this.events.length;re++)rs.apply(null,this.events[re])};function Li(re){var se=re.display;!se.scrollbarsClipped&&se.scroller.offsetWidth&&(se.nativeBarWidth=se.scroller.offsetWidth-se.scroller.clientWidth,se.heightForcer.style.height=lc(re)+"px",se.sizer.style.marginBottom=-se.nativeBarWidth+"px",se.sizer.style.borderRightWidth=lc(re)+"px",se.scrollbarsClipped=!0)}function ci(re){if(re.hasFocus())return null;var se=dn();if(!se||!vn(re.display.lineDiv,se))return null;var de={activeElt:se};if(window.getSelection){var ce=window.getSelection();ce.anchorNode&&ce.extend&&vn(re.display.lineDiv,ce.anchorNode)&&(de.anchorNode=ce.anchorNode,de.anchorOffset=ce.anchorOffset,de.focusNode=ce.focusNode,de.focusOffset=ce.focusOffset)}return de}function Oi(re){if(!(!re||!re.activeElt||re.activeElt==dn())&&(re.activeElt.focus(),!/^(INPUT|TEXTAREA)$/.test(re.activeElt.nodeName)&&re.anchorNode&&vn(document.body,re.anchorNode)&&vn(document.body,re.focusNode))){var se=window.getSelection(),de=document.createRange();de.setEnd(re.anchorNode,re.anchorOffset),de.collapse(!1),se.removeAllRanges(),se.addRange(de),se.extend(re.focusNode,re.focusOffset)}}function Di(re,se){var de=re.display,ce=re.doc;if(se.editorIsHidden)return Df(re),!1;if(!se.force&&se.visible.from>=de.viewFrom&&se.visible.to<=de.viewTo&&(de.updateLineNumbers==null||de.updateLineNumbers>=de.viewTo)&&de.renderedView==de.view&&Ag(re)==0)return!1;Ea(re)&&(Df(re),se.dims=pg(re));var pe=ce.first+ce.size,be=Math.max(se.visible.from-re.options.viewportMargin,ce.first),Ne=Math.min(pe,se.visible.to+re.options.viewportMargin);de.viewFrom<be&&be-de.viewFrom<20&&(be=Math.max(ce.first,de.viewFrom)),de.viewTo>Ne&&de.viewTo-Ne<20&&(Ne=Math.min(pe,de.viewTo)),Ao&&(be=Ti(re.doc,be),Ne=Ai(re.doc,Ne));var je=be!=de.viewFrom||Ne!=de.viewTo||de.lastWrapHeight!=se.wrapperHeight||de.lastWrapWidth!=se.wrapperWidth;v0(re,be,Ne),de.viewOffset=Ya($r(re.doc,de.viewFrom)),re.display.mover.style.top=de.viewOffset+"px";var We=Ag(re);if(!je&&We==0&&!se.force&&de.renderedView==de.view&&(de.updateLineNumbers==null||de.updateLineNumbers>=de.viewTo))return!1;var Je=ci(re);return We>4&&(de.lineDiv.style.display="none"),ra(re,de.updateLineNumbers,se.dims),We>4&&(de.lineDiv.style.display=""),de.renderedView=de.view,Oi(Je),hr(de.cursorDiv),hr(de.selectionDiv),de.gutters.style.height=de.sizer.style.minHeight=0,je&&(de.lastWrapHeight=se.wrapperHeight,de.lastWrapWidth=se.wrapperWidth,Cs(re,400)),de.updateLineNumbers=null,!0}function Zs(re,se){for(var de=se.viewport,ce=!0;;ce=!1){if(!ce||!re.options.lineWrapping||se.oldDisplayWidth==cf(re)){if(de&&de.top!=null&&(de={top:Math.min(re.doc.height+yp(re.display)-lo(re),de.top)}),se.visible=Ee(re.display,re.doc,de),se.visible.from>=re.display.viewFrom&&se.visible.to<=re.display.viewTo)break}else ce&&(se.visible=Ee(re.display,re.doc,de));if(!Di(re,se))break;gm(re);var pe=ir(re);Bp(re),Vn(re,pe),Ns(re,pe),se.force=!1}se.signal(re,"update",re),(re.display.viewFrom!=re.display.reportedViewFrom||re.display.viewTo!=re.display.reportedViewTo)&&(se.signal(re,"viewportChange",re,re.display.viewFrom,re.display.viewTo),re.display.reportedViewFrom=re.display.viewFrom,re.display.reportedViewTo=re.display.viewTo)}function qs(re,se){var de=new Si(re,se);if(Di(re,de)){gm(re),Zs(re,de);var ce=ir(re);Bp(re),Vn(re,ce),Ns(re,ce),de.finish()}}function ra(re,se,de){var ce=re.display,pe=re.options.lineNumbers,be=ce.lineDiv,Ne=be.firstChild;function je(gr){var Dr=gr.nextSibling;return at&&Nt&&re.display.currentWheelTarget==gr?gr.style.display="none":gr.parentNode.removeChild(gr),Dr}for(var We=ce.view,Je=ce.viewFrom,yt=0;yt<We.length;yt++){var Ut=We[yt];if(!Ut.hidden)if(!Ut.node||Ut.node.parentNode!=be){var Pn=ag(re,Ut,Je,de);be.insertBefore(Pn,Ne)}else{for(;Ne!=Ut.node;)Ne=je(Ne);var kt=pe&&se!=null&&se<=Je&&Ut.lineNumber;Ut.changes&&(Xn(Ut.changes,"gutter")>-1&&(kt=!1),u0(re,Ut,Je,de)),kt&&(hr(Ut.lineNumber),Ut.lineNumber.appendChild(document.createTextNode(ts(re.options,Je)))),Ne=Ut.node.nextSibling}Je+=Ut.size}for(;Ne;)Ne=je(Ne)}function aa(re){var se=re.gutters.offsetWidth;re.sizer.style.marginLeft=se+"px"}function Ns(re,se){re.display.sizer.style.minHeight=se.docHeight+"px",re.display.heightForcer.style.top=se.docHeight+"px",re.display.gutters.style.height=se.docHeight+re.display.barHeight+lc(re)+"px"}function pa(re){var se=re.display,de=se.view;if(!(!se.alignWidgets&&(!se.gutters.firstChild||!re.options.fixedGutter))){for(var ce=mg(se)-se.scroller.scrollLeft+re.doc.scrollLeft,pe=se.gutters.offsetWidth,be=ce+"px",Ne=0;Ne<de.length;Ne++)if(!de[Ne].hidden){re.options.fixedGutter&&(de[Ne].gutter&&(de[Ne].gutter.style.left=be),de[Ne].gutterBackground&&(de[Ne].gutterBackground.style.left=be));var je=de[Ne].alignable;if(je)for(var We=0;We<je.length;We++)je[We].style.left=be}re.options.fixedGutter&&(se.gutters.style.left=ce+pe+"px")}}function Ea(re){if(!re.options.lineNumbers)return!1;var se=re.doc,de=ts(re.options,se.first+se.size-1),ce=re.display;if(de.length!=ce.lineNumChars){var pe=ce.measure.appendChild($t("div",[$t("div",de)],"CodeMirror-linenumber CodeMirror-gutter-elt")),be=pe.firstChild.offsetWidth,Ne=pe.offsetWidth-be;return ce.lineGutter.style.width="",ce.lineNumInnerWidth=Math.max(be,ce.lineGutter.offsetWidth-Ne)+1,ce.lineNumWidth=ce.lineNumInnerWidth+Ne,ce.lineNumChars=ce.lineNumInnerWidth?de.length:-1,ce.lineGutter.style.width=ce.lineNumWidth+"px",aa(re.display),!0}return!1}function Pa(re,se){for(var de=[],ce=!1,pe=0;pe<re.length;pe++){var be=re[pe],Ne=null;if(typeof be!="string"&&(Ne=be.style,be=be.className),be=="CodeMirror-linenumbers")if(se)ce=!0;else continue;de.push({className:be,style:Ne})}return se&&!ce&&de.push({className:"CodeMirror-linenumbers",style:null}),de}function Va(re){var se=re.gutters,de=re.gutterSpecs;hr(se),re.lineGutter=null;for(var ce=0;ce<de.length;++ce){var pe=de[ce],be=pe.className,Ne=pe.style,je=se.appendChild($t("div",null,"CodeMirror-gutter "+be));Ne&&(je.style.cssText=Ne),be=="CodeMirror-linenumbers"&&(re.lineGutter=je,je.style.width=(re.lineNumWidth||1)+"px")}se.style.display=de.length?"":"none",aa(re)}function ma(re){Va(re.display),Lu(re),pa(re)}function Ja(re,se,de,ce){var pe=this;this.input=de,pe.scrollbarFiller=$t("div",null,"CodeMirror-scrollbar-filler"),pe.scrollbarFiller.setAttribute("cm-not-content","true"),pe.gutterFiller=$t("div",null,"CodeMirror-gutter-filler"),pe.gutterFiller.setAttribute("cm-not-content","true"),pe.lineDiv=Dn("div",null,"CodeMirror-code"),pe.selectionDiv=$t("div",null,null,"position: relative; z-index: 1"),pe.cursorDiv=$t("div",null,"CodeMirror-cursors"),pe.measure=$t("div",null,"CodeMirror-measure"),pe.lineMeasure=$t("div",null,"CodeMirror-measure"),pe.lineSpace=Dn("div",[pe.measure,pe.lineMeasure,pe.selectionDiv,pe.cursorDiv,pe.lineDiv],null,"position: relative; outline: none");var be=Dn("div",[pe.lineSpace],"CodeMirror-lines");pe.mover=$t("div",[be],null,"position: relative"),pe.sizer=$t("div",[pe.mover],"CodeMirror-sizer"),pe.sizerWidth=null,pe.heightForcer=$t("div",null,null,"position: absolute; height: "+kr+"px; width: 1px;"),pe.gutters=$t("div",null,"CodeMirror-gutters"),pe.lineGutter=null,pe.scroller=$t("div",[pe.sizer,pe.heightForcer,pe.gutters],"CodeMirror-scroll"),pe.scroller.setAttribute("tabIndex","-1"),pe.wrapper=$t("div",[pe.scrollbarFiller,pe.gutterFiller,pe.scroller],"CodeMirror"),rt&&ot<8&&(pe.gutters.style.zIndex=-1,pe.scroller.style.paddingRight=0),!at&&!(fe&&Bt)&&(pe.scroller.draggable=!0),re&&(re.appendChild?re.appendChild(pe.wrapper):re(pe.wrapper)),pe.viewFrom=pe.viewTo=se.first,pe.reportedViewFrom=pe.reportedViewTo=se.first,pe.view=[],pe.renderedView=null,pe.externalMeasured=null,pe.viewOffset=0,pe.lastWrapHeight=pe.lastWrapWidth=0,pe.updateLineNumbers=null,pe.nativeBarWidth=pe.barHeight=pe.barWidth=0,pe.scrollbarsClipped=!1,pe.lineNumWidth=pe.lineNumInnerWidth=pe.lineNumChars=null,pe.alignWidgets=!1,pe.cachedCharWidth=pe.cachedTextHeight=pe.cachedPaddingH=null,pe.maxLine=null,pe.maxLineLength=0,pe.maxLineChanged=!1,pe.wheelDX=pe.wheelDY=pe.wheelStartX=pe.wheelStartY=null,pe.shift=!1,pe.selForContextMenu=null,pe.activeTouch=null,pe.gutterSpecs=Pa(ce.gutters,ce.lineNumbers),Va(pe),de.init(pe)}var $s=0,Ka=null;rt?Ka=-.53:fe?Ka=15:Ct?Ka=-.7:Et&&(Ka=-1/3);function za(re){var se=re.wheelDeltaX,de=re.wheelDeltaY;return se==null&&re.detail&&re.axis==re.HORIZONTAL_AXIS&&(se=re.detail),de==null&&re.detail&&re.axis==re.VERTICAL_AXIS?de=re.detail:de==null&&(de=re.wheelDelta),{x:se,y:de}}function Lo(re){var se=za(re);return se.x*=Ka,se.y*=Ka,se}function Eo(re,se){var de=za(se),ce=de.x,pe=de.y,be=re.display,Ne=be.scroller,je=Ne.scrollWidth>Ne.clientWidth,We=Ne.scrollHeight>Ne.clientHeight;if(ce&&je||pe&&We){if(pe&&Nt&&at){e:for(var Je=se.target,yt=be.view;Je!=Ne;Je=Je.parentNode)for(var Ut=0;Ut<yt.length;Ut++)if(yt[Ut].node==Je){re.display.currentWheelTarget=Je;break e}}if(ce&&!fe&&!St&&Ka!=null){pe&&We&&_n(re,Math.max(0,Ne.scrollTop+pe*Ka)),ur(re,Math.max(0,Ne.scrollLeft+ce*Ka)),(!pe||pe&&We)&&No(se),be.wheelStartX=null;return}if(pe&&Ka!=null){var Pn=pe*Ka,kt=re.doc.scrollTop,gr=kt+be.wrapper.clientHeight;Pn<0?kt=Math.max(0,kt+Pn-50):gr=Math.min(re.doc.height,gr+Pn+50),qs(re,{top:kt,bottom:gr})}$s<20&&(be.wheelStartX==null?(be.wheelStartX=Ne.scrollLeft,be.wheelStartY=Ne.scrollTop,be.wheelDX=ce,be.wheelDY=pe,setTimeout(function(){if(be.wheelStartX!=null){var Dr=Ne.scrollLeft-be.wheelStartX,ni=Ne.scrollTop-be.wheelStartY,Ei=ni&&be.wheelDY&&ni/be.wheelDY||Dr&&be.wheelDX&&Dr/be.wheelDX;be.wheelStartX=be.wheelStartY=null,Ei&&(Ka=(Ka*$s+Ei)/($s+1),++$s)}},200)):(be.wheelDX+=ce,be.wheelDY+=pe))}}var oa=function(re,se){this.ranges=re,this.primIndex=se};oa.prototype.primary=function(){return this.ranges[this.primIndex]},oa.prototype.equals=function(re){if(re==this)return!0;if(re.primIndex!=this.primIndex||re.ranges.length!=this.ranges.length)return!1;for(var se=0;se<this.ranges.length;se++){var de=this.ranges[se],ce=re.ranges[se];if(!Qa(de.anchor,ce.anchor)||!Qa(de.head,ce.head))return!1}return!0},oa.prototype.deepCopy=function(){for(var re=[],se=0;se<this.ranges.length;se++)re[se]=new Gi(rl(this.ranges[se].anchor),rl(this.ranges[se].head));return new oa(re,this.primIndex)},oa.prototype.somethingSelected=function(){for(var re=0;re<this.ranges.length;re++)if(!this.ranges[re].empty())return!0;return!1},oa.prototype.contains=function(re,se){se||(se=re);for(var de=0;de<this.ranges.length;de++){var ce=this.ranges[de];if(kn(se,ce.from())>=0&&kn(re,ce.to())<=0)return de}return-1};var Gi=function(re,se){this.anchor=re,this.head=se};Gi.prototype.from=function(){return Eu(this.anchor,this.head)},Gi.prototype.to=function(){return bu(this.anchor,this.head)},Gi.prototype.empty=function(){return this.head.line==this.anchor.line&&this.head.ch==this.anchor.ch};function ho(re,se,de){var ce=re&&re.options.selectionsMayTouch,pe=se[de];se.sort(function(Pn,kt){return kn(Pn.from(),kt.from())}),de=Xn(se,pe);for(var be=1;be<se.length;be++){var Ne=se[be],je=se[be-1],We=kn(je.to(),Ne.from());if(ce&&!Ne.empty()?We>0:We>=0){var Je=Eu(je.from(),Ne.from()),yt=bu(je.to(),Ne.to()),Ut=je.empty()?Ne.from()==Ne.head:je.from()==je.head;be<=de&&--de,se.splice(--be,2,new Gi(Ut?yt:Je,Ut?Je:yt))}}return new oa(se,de)}function po(re,se){return new oa([new Gi(re,se||re)],0)}function Ro(re){return re.text?wr(re.from.line+re.text.length-1,Jn(re.text).length+(re.text.length==1?re.from.ch:0)):re.to}function $a(re,se){if(kn(re,se.from)<0)return re;if(kn(re,se.to)<=0)return Ro(se);var de=re.line+se.text.length-(se.to.line-se.from.line)-1,ce=re.ch;return re.line==se.to.line&&(ce+=Ro(se).ch-se.to.ch),wr(de,ce)}function il(re,se){for(var de=[],ce=0;ce<re.sel.ranges.length;ce++){var pe=re.sel.ranges[ce];de.push(new Gi($a(pe.anchor,se),$a(pe.head,se)))}return ho(re.cm,de,re.sel.primIndex)}function xo(re,se,de){return re.line==se.line?wr(de.line,re.ch-se.ch+de.ch):wr(de.line+(re.line-se.line),re.ch)}function ka(re,se,de){for(var ce=[],pe=wr(re.first,0),be=pe,Ne=0;Ne<se.length;Ne++){var je=se[Ne],We=xo(je.from,pe,be),Je=xo(Ro(je),pe,be);if(pe=je.to,be=Je,de=="around"){var yt=re.sel.ranges[Ne],Ut=kn(yt.head,yt.anchor)<0;ce[Ne]=new Gi(Ut?Je:We,Ut?We:Je)}else ce[Ne]=new Gi(We,We)}return new oa(ce,re.sel.primIndex)}function uo(re){re.doc.mode=_a(re.options,re.doc.modeOption),Yo(re)}function Yo(re){re.doc.iter(function(se){se.stateAfter&&(se.stateAfter=null),se.styles&&(se.styles=null)}),re.doc.modeFrontier=re.doc.highlightFrontier=re.doc.first,Cs(re,100),re.state.modeGen++,re.curOp&&Lu(re)}function ea(re,se){return se.from.ch==0&&se.to.ch==0&&Jn(se.text)==""&&(!re.cm||re.cm.options.wholeLineUpdateBefore)}function Vu(re,se,de,ce){function pe(Ji){return de?de[Ji]:null}function be(Ji,bi,fs){vl(Ji,bi,fs,ce),Fa(Ji,"change",Ji,se)}function Ne(Ji,bi){for(var fs=[],ia=Ji;ia<bi;++ia)fs.push(new $o(Je[ia],pe(ia),ce));return fs}var je=se.from,We=se.to,Je=se.text,yt=$r(re,je.line),Ut=$r(re,We.line),Pn=Jn(Je),kt=pe(Je.length-1),gr=We.line-je.line;if(se.full)re.insert(0,Ne(0,Je.length)),re.remove(Je.length,re.size-Je.length);else if(ea(re,se)){var Dr=Ne(0,Je.length-1);be(Ut,Ut.text,kt),gr&&re.remove(je.line,gr),Dr.length&&re.insert(je.line,Dr)}else if(yt==Ut)if(Je.length==1)be(yt,yt.text.slice(0,je.ch)+Pn+yt.text.slice(We.ch),kt);else{var ni=Ne(1,Je.length-1);ni.push(new $o(Pn+yt.text.slice(We.ch),kt,ce)),be(yt,yt.text.slice(0,je.ch)+Je[0],pe(0)),re.insert(je.line+1,ni)}else if(Je.length==1)be(yt,yt.text.slice(0,je.ch)+Je[0]+Ut.text.slice(We.ch),pe(0)),re.remove(je.line+1,gr);else{be(yt,yt.text.slice(0,je.ch)+Je[0],pe(0)),be(Ut,Pn+Ut.text.slice(We.ch),kt);var Ei=Ne(1,Je.length-1);gr>1&&re.remove(je.line+1,gr-1),re.insert(je.line+1,Ei)}Fa(re,"change",re,se)}function Es(re,se,de){function ce(pe,be,Ne){if(pe.linked)for(var je=0;je<pe.linked.length;++je){var We=pe.linked[je];if(We.doc!=be){var Je=Ne&&We.sharedHist;de&&!Je||(se(We.doc,Je),ce(We.doc,pe,Je))}}}ce(re,null,!0)}function $i(re,se){if(se.cm)throw new Error("This document is already in use.");re.doc=se,se.cm=re,Sp(re),uo(re),eo(re),re.options.lineWrapping||Tl(re),re.options.mode=se.modeOption,Lu(re)}function eo(re){(re.doc.direction=="rtl"?nr:An)(re.display.lineDiv,"CodeMirror-rtl")}function Qi(re){fi(re,function(){eo(re),Lu(re)})}function ds(re){this.done=[],this.undone=[],this.undoDepth=1/0,this.lastModTime=this.lastSelTime=0,this.lastOp=this.lastSelOp=null,this.lastOrigin=this.lastSelOrigin=null,this.generation=this.maxGeneration=re||1}function sl(re,se){var de={from:rl(se.from),to:Ro(se),text:Wa(re,se.from,se.to)};return ed(re,de,se.from.line,se.to.line+1),Es(re,function(ce){return ed(ce,de,se.from.line,se.to.line+1)},!0),de}function al(re){for(;re.length;){var se=Jn(re);if(se.ranges)re.pop();else break}}function Jo(re,se){if(se)return al(re.done),Jn(re.done);if(re.done.length&&!Jn(re.done).ranges)return Jn(re.done);if(re.done.length>1&&!re.done[re.done.length-2].ranges)return re.done.pop(),Jn(re.done)}function Xo(re,se,de,ce){var pe=re.history;pe.undone.length=0;var be=+new Date,Ne,je;if((pe.lastOp==ce||pe.lastOrigin==se.origin&&se.origin&&(se.origin.charAt(0)=="+"&&pe.lastModTime>be-(re.cm?re.cm.options.historyEventDelay:500)||se.origin.charAt(0)=="*"))&&(Ne=Jo(pe,pe.lastOp==ce)))je=Jn(Ne.changes),kn(se.from,se.to)==0&&kn(se.from,je.to)==0?je.to=Ro(se):Ne.changes.push(sl(re,se));else{var We=Jn(pe.done);for((!We||!We.ranges)&&ou(re.sel,pe.done),Ne={changes:[sl(re,se)],generation:pe.generation},pe.done.push(Ne);pe.done.length>pe.undoDepth;)pe.done.shift(),pe.done[0].ranges||pe.done.shift()}pe.done.push(de),pe.generation=++pe.maxGeneration,pe.lastModTime=pe.lastSelTime=be,pe.lastOp=pe.lastSelOp=ce,pe.lastOrigin=pe.lastSelOrigin=se.origin,je||rs(re,"historyAdded")}function Al(re,se,de,ce){var pe=se.charAt(0);return pe=="*"||pe=="+"&&de.ranges.length==ce.ranges.length&&de.somethingSelected()==ce.somethingSelected()&&new Date-re.history.lastSelTime<=(re.cm?re.cm.options.historyEventDelay:500)}function ff(re,se,de,ce){var pe=re.history,be=ce&&ce.origin;de==pe.lastSelOp||be&&pe.lastSelOrigin==be&&(pe.lastModTime==pe.lastSelTime&&pe.lastOrigin==be||Al(re,be,Jn(pe.done),se))?pe.done[pe.done.length-1]=se:ou(se,pe.done),pe.lastSelTime=+new Date,pe.lastSelOrigin=be,pe.lastSelOp=de,ce&&ce.clearRedo!==!1&&al(pe.undone)}function ou(re,se){var de=Jn(se);de&&de.ranges&&de.equals(re)||se.push(re)}function ed(re,se,de,ce){var pe=se["spans_"+re.id],be=0;re.iter(Math.max(re.first,de),Math.min(re.first+re.size,ce),function(Ne){Ne.markedSpans&&((pe||(pe=se["spans_"+re.id]={}))[be]=Ne.markedSpans),++be})}function kc(re){if(!re)return null;for(var se,de=0;de<re.length;++de)re[de].marker.explicitlyCleared?se||(se=re.slice(0,de)):se&&se.push(re[de]);return se?se.length?se:null:re}function Nf(re,se){var de=se["spans_"+re.id];if(!de)return null;for(var ce=[],pe=0;pe<se.text.length;++pe)ce.push(kc(de[pe]));return ce}function kd(re,se){var de=Nf(re,se),ce=bc(re,se);if(!de)return ce;if(!ce)return de;for(var pe=0;pe<de.length;++pe){var be=de[pe],Ne=ce[pe];if(be&&Ne)e:for(var je=0;je<Ne.length;++je){for(var We=Ne[je],Je=0;Je<be.length;++Je)if(be[Je].marker==We.marker)continue e;be.push(We)}else Ne&&(de[pe]=Ne)}return de}function Cc(re,se,de){for(var ce=[],pe=0;pe<re.length;++pe){var be=re[pe];if(be.ranges){ce.push(de?oa.prototype.deepCopy.call(be):be);continue}var Ne=be.changes,je=[];ce.push({changes:je});for(var We=0;We<Ne.length;++We){var Je=Ne[We],yt=void 0;if(je.push({from:Je.from,to:Je.to,text:Je.text}),se)for(var Ut in Je)(yt=Ut.match(/^spans_(\d+)$/))&&Xn(se,Number(yt[1]))>-1&&(Jn(je)[Ut]=Je[Ut],delete Je[Ut])}}return ce}function lu(re,se,de,ce){if(ce){var pe=re.anchor;if(de){var be=kn(se,pe)<0;be!=kn(de,pe)<0?(pe=se,se=de):be!=kn(se,de)<0&&(se=de)}return new Gi(pe,se)}else return new Gi(de||se,se)}function Ol(re,se,de,ce,pe){pe==null&&(pe=re.cm&&(re.cm.display.shift||re.extend)),xl(re,new oa([lu(re.sel.primary(),se,de,pe)],0),ce)}function co(re,se,de){for(var ce=[],pe=re.cm&&(re.cm.display.shift||re.extend),be=0;be<re.sel.ranges.length;be++)ce[be]=lu(re.sel.ranges[be],se[be],null,pe);var Ne=ho(re.cm,ce,re.sel.primIndex);xl(re,Ne,de)}function Ko(re,se,de,ce){var pe=re.sel.ranges.slice(0);pe[se]=de,xl(re,ho(re.cm,pe,re.sel.primIndex),ce)}function tu(re,se,de,ce){xl(re,po(se,de),ce)}function cc(re,se,de){var ce={ranges:se.ranges,update:function(pe){this.ranges=[];for(var be=0;be<pe.length;be++)this.ranges[be]=new Gi(ws(re,pe[be].anchor),ws(re,pe[be].head))},origin:de&&de.origin};return rs(re,"beforeSelectionChange",re,ce),re.cm&&rs(re.cm,"beforeSelectionChange",re.cm,ce),ce.ranges!=se.ranges?ho(re.cm,ce.ranges,ce.ranges.length-1):se}function Hd(re,se,de){var ce=re.history.done,pe=Jn(ce);pe&&pe.ranges?(ce[ce.length-1]=se,Gu(re,se,de)):xl(re,se,de)}function xl(re,se,de){Gu(re,se,de),ff(re,re.sel,re.cm?re.cm.curOp.id:NaN,de)}function Gu(re,se,de){(vi(re,"beforeSelectionChange")||re.cm&&vi(re.cm,"beforeSelectionChange"))&&(se=cc(re,se,de));var ce=de&&de.bias||(kn(se.primary().head,re.sel.primary().head)<0?-1:1);hf(re,Dl(re,se,ce,!0)),!(de&&de.scroll===!1)&&re.cm&&en(re.cm)}function hf(re,se){se.equals(re.sel)||(re.sel=se,re.cm&&(re.cm.curOp.updateInput=1,re.cm.curOp.selectionChanged=!0,Qn(re.cm)),Fa(re,"cursorActivity",re))}function uu(re){hf(re,Dl(re,re.sel,null,!1))}function Dl(re,se,de,ce){for(var pe,be=0;be<se.ranges.length;be++){var Ne=se.ranges[be],je=se.ranges.length==re.sel.ranges.length&&re.sel.ranges[be],We=dc(re,Ne.anchor,je&&je.anchor,de,ce),Je=dc(re,Ne.head,je&&je.head,de,ce);(pe||We!=Ne.anchor||Je!=Ne.head)&&(pe||(pe=se.ranges.slice(0,be)),pe[be]=new Gi(We,Je))}return pe?ho(re.cm,pe,se.primIndex):se}function Pc(re,se,de,ce,pe){var be=$r(re,se.line);if(be.markedSpans)for(var Ne=0;Ne<be.markedSpans.length;++Ne){var je=be.markedSpans[Ne],We=je.marker,Je="selectLeft"in We?!We.selectLeft:We.inclusiveLeft,yt="selectRight"in We?!We.selectRight:We.inclusiveRight;if((je.from==null||(Je?je.from<=se.ch:je.from<se.ch))&&(je.to==null||(yt?je.to>=se.ch:je.to>se.ch))){if(pe&&(rs(We,"beforeCursorEnter"),We.explicitlyCleared))if(be.markedSpans){--Ne;continue}else break;if(!We.atomic)continue;if(de){var Ut=We.find(ce<0?1:-1),Pn=void 0;if((ce<0?yt:Je)&&(Ut=Mp(re,Ut,-ce,Ut&&Ut.line==se.line?be:null)),Ut&&Ut.line==se.line&&(Pn=kn(Ut,de))&&(ce<0?Pn<0:Pn>0))return Pc(re,Ut,se,ce,pe)}var kt=We.find(ce<0?-1:1);return(ce<0?Je:yt)&&(kt=Mp(re,kt,ce,kt.line==se.line?be:null)),kt?Pc(re,kt,se,ce,pe):null}}return se}function dc(re,se,de,ce,pe){var be=ce||1,Ne=Pc(re,se,de,be,pe)||!pe&&Pc(re,se,de,be,!0)||Pc(re,se,de,-be,pe)||!pe&&Pc(re,se,de,-be,!0);return Ne||(re.cantEdit=!0,wr(re.first,0))}function Mp(re,se,de,ce){return de<0&&se.ch==0?se.line>re.first?ws(re,wr(se.line-1)):null:de>0&&se.ch==(ce||$r(re,se.line)).text.length?se.line<re.first+re.size-1?wr(se.line+1,0):null:new wr(se.line,se.ch+de)}function Sc(re){re.setSelection(wr(re.firstLine(),0),wr(re.lastLine()),wt)}function Ud(re,se,de){var ce={canceled:!1,from:se.from,to:se.to,text:se.text,origin:se.origin,cancel:function(){return ce.canceled=!0}};return de&&(ce.update=function(pe,be,Ne,je){pe&&(ce.from=ws(re,pe)),be&&(ce.to=ws(re,be)),Ne&&(ce.text=Ne),je!==void 0&&(ce.origin=je)}),rs(re,"beforeChange",re,ce),re.cm&&rs(re.cm,"beforeChange",re.cm,ce),ce.canceled?(re.cm&&(re.cm.curOp.updateInput=2),null):{from:ce.from,to:ce.to,text:ce.text,origin:ce.origin}}function Hc(re,se,de){if(re.cm){if(!re.cm.curOp)return Wr(re.cm,Hc)(re,se,de);if(re.cm.state.suppressEdits)return}if(!((vi(re,"beforeChange")||re.cm&&vi(re.cm,"beforeChange"))&&(se=Ud(re,se,!0),!se))){var ce=Xl&&!de&&Nd(re,se.from,se.to);if(ce)for(var pe=ce.length-1;pe>=0;--pe)kh(re,{from:ce[pe].from,to:ce[pe].to,text:pe?[""]:se.text,origin:se.origin});else kh(re,se)}}function kh(re,se){if(!(se.text.length==1&&se.text[0]==""&&kn(se.from,se.to)==0)){var de=il(re,se);Xo(re,se,de,re.cm?re.cm.curOp.id:NaN),Mc(re,se,de,bc(re,se));var ce=[];Es(re,function(pe,be){!be&&Xn(ce,pe.history)==-1&&(ih(pe.history,se),ce.push(pe.history)),Mc(pe,se,null,bc(pe,se))})}}function td(re,se,de){var ce=re.cm&&re.cm.state.suppressEdits;if(!(ce&&!de)){for(var pe=re.history,be,Ne=re.sel,je=se=="undo"?pe.done:pe.undone,We=se=="undo"?pe.undone:pe.done,Je=0;Je<je.length&&(be=je[Je],!(de?be.ranges&&!be.equals(re.sel):!be.ranges));Je++);if(Je!=je.length){for(pe.lastOrigin=pe.lastSelOrigin=null;;)if(be=je.pop(),be.ranges){if(ou(be,We),de&&!be.equals(re.sel)){xl(re,be,{clearRedo:!1});return}Ne=be}else if(ce){je.push(be);return}else break;var yt=[];ou(Ne,We),We.push({changes:yt,generation:pe.generation}),pe.generation=be.generation||++pe.maxGeneration;for(var Ut=vi(re,"beforeChange")||re.cm&&vi(re.cm,"beforeChange"),Pn=function(Dr){var ni=be.changes[Dr];if(ni.origin=se,Ut&&!Ud(re,ni,!1))return je.length=0,{};yt.push(sl(re,ni));var Ei=Dr?il(re,ni):Jn(je);Mc(re,ni,Ei,kd(re,ni)),!Dr&&re.cm&&re.cm.scrollIntoView({from:ni.from,to:Ro(ni)});var Ji=[];Es(re,function(bi,fs){!fs&&Xn(Ji,bi.history)==-1&&(ih(bi.history,ni),Ji.push(bi.history)),Mc(bi,ni,null,kd(bi,ni))})},kt=be.changes.length-1;kt>=0;--kt){var gr=Pn(kt);if(gr)return gr.v}}}}function Bc(re,se){if(se!=0&&(re.first+=se,re.sel=new oa(Ir(re.sel.ranges,function(pe){return new Gi(wr(pe.anchor.line+se,pe.anchor.ch),wr(pe.head.line+se,pe.head.ch))}),re.sel.primIndex),re.cm)){Lu(re.cm,re.first,re.first-se,se);for(var de=re.cm.display,ce=de.viewFrom;ce<de.viewTo;ce++)Tf(re.cm,ce,"gutter")}}function Mc(re,se,de,ce){if(re.cm&&!re.cm.curOp)return Wr(re.cm,Mc)(re,se,de,ce);if(se.to.line<re.first){Bc(re,se.text.length-1-(se.to.line-se.from.line));return}if(!(se.from.line>re.lastLine())){if(se.from.line<re.first){var pe=se.text.length-1-(re.first-se.from.line);Bc(re,pe),se={from:wr(re.first,0),to:wr(se.to.line+pe,se.to.ch),text:[Jn(se.text)],origin:se.origin}}var be=re.lastLine();se.to.line>be&&(se={from:se.from,to:wr(be,$r(re,be).text.length),text:[se.text[0]],origin:se.origin}),se.removed=Wa(re,se.from,se.to),de||(de=il(re,se)),re.cm?nd(re.cm,se,ce):Vu(re,se,ce),Gu(re,de,wt),re.cantEdit&&dc(re,wr(re.firstLine(),0))&&(re.cantEdit=!1)}}function nd(re,se,de){var ce=re.doc,pe=re.display,be=se.from,Ne=se.to,je=!1,We=be.line;re.options.lineWrapping||(We=Ws(Gs($r(ce,be.line))),ce.iter(We,Ne.line+1,function(kt){if(kt==pe.maxLine)return je=!0,!0})),ce.sel.contains(se.from,se.to)>-1&&Qn(re),Vu(ce,se,de,gg(re)),re.options.lineWrapping||(ce.iter(We,be.line+se.text.length,function(kt){var gr=Uo(kt);gr>pe.maxLineLength&&(pe.maxLine=kt,pe.maxLineLength=gr,pe.maxLineChanged=!0,je=!1)}),je&&(re.curOp.updateMaxLine=!0)),Nu(ce,be.line),Cs(re,400);var Je=se.text.length-(Ne.line-be.line)-1;se.full?Lu(re):be.line==Ne.line&&se.text.length==1&&!ea(re.doc,se)?Tf(re,be.line,"text"):Lu(re,be.line,Ne.line+1,Je);var yt=vi(re,"changes"),Ut=vi(re,"change");if(Ut||yt){var Pn={from:be,to:Ne,text:se.text,removed:se.removed,origin:se.origin};Ut&&Fa(re,"change",re,Pn),yt&&(re.curOp.changeObjs||(re.curOp.changeObjs=[])).push(Pn)}re.display.selForContextMenu=null}function rd(re,se,de,ce,pe){var be;ce||(ce=de),kn(ce,de)<0&&(be=[ce,de],de=be[0],ce=be[1]),typeof se=="string"&&(se=re.splitLines(se)),Hc(re,{from:de,to:ce,text:se,origin:pe})}function rh(re,se,de,ce){de<re.line?re.line+=ce:se<re.line&&(re.line=se,re.ch=0)}function Hh(re,se,de,ce){for(var pe=0;pe<re.length;++pe){var be=re[pe],Ne=!0;if(be.ranges){be.copied||(be=re[pe]=be.deepCopy(),be.copied=!0);for(var je=0;je<be.ranges.length;je++)rh(be.ranges[je].anchor,se,de,ce),rh(be.ranges[je].head,se,de,ce);continue}for(var We=0;We<be.changes.length;++We){var Je=be.changes[We];if(de<Je.from.line)Je.from=wr(Je.from.line+ce,Je.from.ch),Je.to=wr(Je.to.line+ce,Je.to.ch);else if(se<=Je.to.line){Ne=!1;break}}Ne||(re.splice(0,pe+1),pe=0)}}function ih(re,se){var de=se.from.line,ce=se.to.line,pe=se.text.length-(ce-de)-1;Hh(re.done,de,ce,pe),Hh(re.undone,de,ce,pe)}function sh(re,se,de,ce){var pe=se,be=se;return typeof se=="number"?be=$r(re,tc(re,se)):pe=Ws(se),pe==null?null:(ce(be,pe)&&re.cm&&Tf(re.cm,pe,de),be)}function ah(re){this.lines=re,this.parent=null;for(var se=0,de=0;de<re.length;++de)re[de].parent=this,se+=re[de].height;this.height=se}ah.prototype={chunkSize:function(){return this.lines.length},removeInner:function(re,se){for(var de=re,ce=re+se;de<ce;++de){var pe=this.lines[de];this.height-=pe.height,dl(pe),Fa(pe,"delete")}this.lines.splice(re,se)},collapse:function(re){re.push.apply(re,this.lines)},insertInner:function(re,se,de){this.height+=de,this.lines=this.lines.slice(0,re).concat(se).concat(this.lines.slice(re));for(var ce=0;ce<se.length;++ce)se[ce].parent=this},iterN:function(re,se,de){for(var ce=re+se;re<ce;++re)if(de(this.lines[re]))return!0}};function pf(re){this.children=re;for(var se=0,de=0,ce=0;ce<re.length;++ce){var pe=re[ce];se+=pe.chunkSize(),de+=pe.height,pe.parent=this}this.size=se,this.height=de,this.parent=null}pf.prototype={chunkSize:function(){return this.size},removeInner:function(re,se){this.size-=se;for(var de=0;de<this.children.length;++de){var ce=this.children[de],pe=ce.chunkSize();if(re<pe){var be=Math.min(se,pe-re),Ne=ce.height;if(ce.removeInner(re,be),this.height-=Ne-ce.height,pe==be&&(this.children.splice(de--,1),ce.parent=null),(se-=be)==0)break;re=0}else re-=pe}if(this.size-se<25&&(this.children.length>1||!(this.children[0]instanceof ah))){var je=[];this.collapse(je),this.children=[new ah(je)],this.children[0].parent=this}},collapse:function(re){for(var se=0;se<this.children.length;++se)this.children[se].collapse(re)},insertInner:function(re,se,de){this.size+=se.length,this.height+=de;for(var ce=0;ce<this.children.length;++ce){var pe=this.children[ce],be=pe.chunkSize();if(re<=be){if(pe.insertInner(re,se,de),pe.lines&&pe.lines.length>50){for(var Ne=pe.lines.length%25+25,je=Ne;je<pe.lines.length;){var We=new ah(pe.lines.slice(je,je+=25));pe.height-=We.height,this.children.splice(++ce,0,We),We.parent=this}pe.lines=pe.lines.slice(0,Ne),this.maybeSpill()}break}re-=be}},maybeSpill:function(){if(!(this.children.length<=10)){var re=this;do{var se=re.children.splice(re.children.length-5,5),de=new pf(se);if(re.parent){re.size-=de.size,re.height-=de.height;var pe=Xn(re.parent.children,re);re.parent.children.splice(pe+1,0,de)}else{var ce=new pf(re.children);ce.parent=re,re.children=[ce,de],re=ce}de.parent=re.parent}while(re.children.length>10);re.parent.maybeSpill()}},iterN:function(re,se,de){for(var ce=0;ce<this.children.length;++ce){var pe=this.children[ce],be=pe.chunkSize();if(re<be){var Ne=Math.min(se,be-re);if(pe.iterN(re,Ne,de))return!0;if((se-=Ne)==0)break;re=0}else re-=be}}};var Ad=function(re,se,de){if(de)for(var ce in de)de.hasOwnProperty(ce)&&(this[ce]=de[ce]);this.doc=re,this.node=se};Ad.prototype.clear=function(){var re=this.doc.cm,se=this.line.widgets,de=this.line,ce=Ws(de);if(!(ce==null||!se)){for(var pe=0;pe<se.length;++pe)se[pe]==this&&se.splice(pe--,1);se.length||(de.widgets=null);var be=su(this);va(de,Math.max(0,de.height-be)),re&&(fi(re,function(){Ff(re,de,-be),Tf(re,ce,"widget")}),Fa(re,"lineWidgetCleared",re,this,ce))}},Ad.prototype.changed=function(){var re=this,se=this.height,de=this.doc.cm,ce=this.line;this.height=null;var pe=su(this)-se;pe&&(Vi(this.doc,ce)||va(ce,ce.height+pe),de&&fi(de,function(){de.curOp.forceUpdate=!0,Ff(de,ce,pe),Fa(de,"lineWidgetChanged",de,re,Ws(ce))}))},ko(Ad);function Ff(re,se,de){Ya(se)<(re.curOp&&re.curOp.scrollTop||re.doc.scrollTop)&&Gt(re,de)}function jd(re,se,de,ce){var pe=new Ad(re,de,ce),be=re.cm;return be&&pe.noHScroll&&(be.display.alignWidgets=!0),sh(re,se,"widget",function(Ne){var je=Ne.widgets||(Ne.widgets=[]);if(pe.insertAt==null?je.push(pe):je.splice(Math.min(je.length-1,Math.max(0,pe.insertAt)),0,pe),pe.line=Ne,be&&!Vi(re,Ne)){var We=Ya(Ne)<re.scrollTop;va(Ne,Ne.height+su(pe)),We&&Gt(be,pe.height),be.curOp.forceUpdate=!0}return!0}),be&&Fa(be,"lineWidgetAdded",be,pe,typeof se=="number"?se:Ws(se)),pe}var xd=0,Tc=function(re,se){this.lines=[],this.type=se,this.doc=re,this.id=++xd};Tc.prototype.clear=function(){if(!this.explicitlyCleared){var re=this.doc.cm,se=re&&!re.curOp;if(se&&Fr(re),vi(this,"clear")){var de=this.find();de&&Fa(this,"clear",de.from,de.to)}for(var ce=null,pe=null,be=0;be<this.lines.length;++be){var Ne=this.lines[be],je=nc(Ne.markedSpans,this);re&&!this.collapsed?Tf(re,Ws(Ne),"text"):re&&(je.to!=null&&(pe=Ws(Ne)),je.from!=null&&(ce=Ws(Ne))),Ne.markedSpans=rc(Ne.markedSpans,je),je.from==null&&this.collapsed&&!Vi(this.doc,Ne)&&re&&va(Ne,Od(re.display))}if(re&&this.collapsed&&!re.options.lineWrapping)for(var We=0;We<this.lines.length;++We){var Je=Gs(this.lines[We]),yt=Uo(Je);yt>re.display.maxLineLength&&(re.display.maxLine=Je,re.display.maxLineLength=yt,re.display.maxLineChanged=!0)}ce!=null&&re&&this.collapsed&&Lu(re,ce,pe+1),this.lines.length=0,this.explicitlyCleared=!0,this.atomic&&this.doc.cantEdit&&(this.doc.cantEdit=!1,re&&uu(re.doc)),re&&Fa(re,"markerCleared",re,this,ce,pe),se&&Hr(re),this.parent&&this.parent.clear()}},Tc.prototype.find=function(re,se){re==null&&this.type=="bookmark"&&(re=1);for(var de,ce,pe=0;pe<this.lines.length;++pe){var be=this.lines[pe],Ne=nc(be.markedSpans,this);if(Ne.from!=null&&(de=wr(se?be:Ws(be),Ne.from),re==-1))return de;if(Ne.to!=null&&(ce=wr(se?be:Ws(be),Ne.to),re==1))return ce}return de&&{from:de,to:ce}},Tc.prototype.changed=function(){var re=this,se=this.find(-1,!0),de=this,ce=this.doc.cm;!se||!ce||fi(ce,function(){var pe=se.line,be=Ws(se.line),Ne=au(ce,be);if(Ne&&(pm(Ne),ce.curOp.selectionChanged=ce.curOp.forceUpdate=!0),ce.curOp.updateMaxLine=!0,!Vi(de.doc,pe)&&de.height!=null){var je=de.height;de.height=null;var We=su(de)-je;We&&va(pe,pe.height+We)}Fa(ce,"markerChanged",ce,re)})},Tc.prototype.attachLine=function(re){if(!this.lines.length&&this.doc.cm){var se=this.doc.cm.curOp;(!se.maybeHiddenMarkers||Xn(se.maybeHiddenMarkers,this)==-1)&&(se.maybeUnhiddenMarkers||(se.maybeUnhiddenMarkers=[])).push(this)}this.lines.push(re)},Tc.prototype.detachLine=function(re){if(this.lines.splice(Xn(this.lines,re),1),!this.lines.length&&this.doc.cm){var se=this.doc.cm.curOp;(se.maybeHiddenMarkers||(se.maybeHiddenMarkers=[])).push(this)}},ko(Tc);function Uc(re,se,de,ce,pe){if(ce&&ce.shared)return oh(re,se,de,ce,pe);if(re.cm&&!re.cm.curOp)return Wr(re.cm,Uc)(re,se,de,ce,pe);var be=new Tc(re,pe),Ne=kn(se,de);if(ce&&Mr(ce,be,!1),Ne>0||Ne==0&&be.clearWhenEmpty!==!1)return be;if(be.replacedWith&&(be.collapsed=!0,be.widgetNode=Dn("span",[be.replacedWith],"CodeMirror-widget"),ce.handleMouseEvents||be.widgetNode.setAttribute("cm-ignore-events","true"),ce.insertLeft&&(be.widgetNode.insertLeft=!0)),be.collapsed){if(Aa(re,se.line,se,de,be)||se.line!=de.line&&Aa(re,de.line,se,de,be))throw new Error("Inserting collapsed marker partially overlapping an existing one");Wl()}be.addToHistory&&Xo(re,{from:se,to:de,origin:"markText"},re.sel,NaN);var je=se.line,We=re.cm,Je;if(re.iter(je,de.line+1,function(Ut){We&&be.collapsed&&!We.options.lineWrapping&&Gs(Ut)==We.display.maxLine&&(Je=!0),be.collapsed&&je!=se.line&&va(Ut,0),ic(Ut,new hu(be,je==se.line?se.ch:null,je==de.line?de.ch:null)),++je}),be.collapsed&&re.iter(se.line,de.line+1,function(Ut){Vi(re,Ut)&&va(Ut,0)}),be.clearOnEnter&&os(be,"beforeCursorEnter",function(){return be.clear()}),be.readOnly&&(qf(),(re.history.done.length||re.history.undone.length)&&re.clearHistory()),be.collapsed&&(be.id=++xd,be.atomic=!0),We){if(Je&&(We.curOp.updateMaxLine=!0),be.collapsed)Lu(We,se.line,de.line+1);else if(be.className||be.startStyle||be.endStyle||be.css||be.attributes||be.title)for(var yt=se.line;yt<=de.line;yt++)Tf(We,yt,"text");be.atomic&&uu(We.doc),Fa(We,"markerAdded",We,be)}return be}var yd=function(re,se){this.markers=re,this.primary=se;for(var de=0;de<re.length;++de)re[de].parent=this};yd.prototype.clear=function(){if(!this.explicitlyCleared){this.explicitlyCleared=!0;for(var re=0;re<this.markers.length;++re)this.markers[re].clear();Fa(this,"clear")}},yd.prototype.find=function(re,se){return this.primary.find(re,se)},ko(yd);function oh(re,se,de,ce,pe){ce=Mr(ce),ce.shared=!1;var be=[Uc(re,se,de,ce,pe)],Ne=be[0],je=ce.widgetNode;return Es(re,function(We){je&&(ce.widgetNode=je.cloneNode(!0)),be.push(Uc(We,ws(We,se),ws(We,de),ce,pe));for(var Je=0;Je<We.linked.length;++Je)if(We.linked[Je].isParent)return;Ne=Jn(be)}),new yd(be,Ne)}function lh(re){return re.findMarks(wr(re.first,0),re.clipPos(wr(re.lastLine())),function(se){return se.parent})}function vm(re,se){for(var de=0;de<se.length;de++){var ce=se[de],pe=ce.find(),be=re.clipPos(pe.from),Ne=re.clipPos(pe.to);if(kn(be,Ne)){var je=Uc(re,be,Ne,ce.primary,ce.primary.type);ce.markers.push(je),je.parent=ce}}}function Eg(re){for(var se=function(ce){var pe=re[ce],be=[pe.primary.doc];Es(pe.primary.doc,function(We){return be.push(We)});for(var Ne=0;Ne<pe.markers.length;Ne++){var je=pe.markers[Ne];Xn(be,je.doc)==-1&&(je.parent=null,pe.markers.splice(Ne--,1))}},de=0;de<re.length;de++)se(de)}var ks=0,Ts=function(re,se,de,ce,pe){if(!(this instanceof Ts))return new Ts(re,se,de,ce,pe);de==null&&(de=0),pf.call(this,[new ah([new $o("",null)])]),this.first=de,this.scrollTop=this.scrollLeft=0,this.cantEdit=!1,this.cleanGeneration=1,this.modeFrontier=this.highlightFrontier=de;var be=wr(de,0);this.sel=po(be),this.history=new ds(null),this.id=++ks,this.modeOption=se,this.lineSep=ce,this.direction=pe=="rtl"?"rtl":"ltr",this.extend=!1,typeof re=="string"&&(re=this.splitLines(re)),Vu(this,{from:be,to:be,text:re}),xl(this,po(be),wt)};Ts.prototype=Se(pf.prototype,{constructor:Ts,iter:function(re,se,de){de?this.iterN(re-this.first,se-re,de):this.iterN(this.first,this.first+this.size,re)},insert:function(re,se){for(var de=0,ce=0;ce<se.length;++ce)de+=se[ce].height;this.insertInner(re-this.first,se,de)},remove:function(re,se){this.removeInner(re-this.first,se)},getValue:function(re){var se=Ca(this,this.first,this.first+this.size);return re===!1?se:se.join(re||this.lineSeparator())},setValue:ui(function(re){var se=wr(this.first,0),de=this.first+this.size-1;Hc(this,{from:se,to:wr(de,$r(this,de).text.length),text:this.splitLines(re),origin:"setValue",full:!0},!0),this.cm&&ln(this.cm,0,0),xl(this,po(se),wt)}),replaceRange:function(re,se,de,ce){se=ws(this,se),de=de?ws(this,de):se,rd(this,re,se,de,ce)},getRange:function(re,se,de){var ce=Wa(this,ws(this,re),ws(this,se));return de===!1?ce:ce.join(de||this.lineSeparator())},getLine:function(re){var se=this.getLineHandle(re);return se&&se.text},getLineHandle:function(re){if(Vl(this,re))return $r(this,re)},getLineNumber:function(re){return Ws(re)},getLineHandleVisualStart:function(re){return typeof re=="number"&&(re=$r(this,re)),Gs(re)},lineCount:function(){return this.size},firstLine:function(){return this.first},lastLine:function(){return this.first+this.size-1},clipPos:function(re){return ws(this,re)},getCursor:function(re){var se=this.sel.primary(),de;return re==null||re=="head"?de=se.head:re=="anchor"?de=se.anchor:re=="end"||re=="to"||re===!1?de=se.to():de=se.from(),de},listSelections:function(){return this.sel.ranges},somethingSelected:function(){return this.sel.somethingSelected()},setCursor:ui(function(re,se,de){tu(this,ws(this,typeof re=="number"?wr(re,se||0):re),null,de)}),setSelection:ui(function(re,se,de){tu(this,ws(this,re),ws(this,se||re),de)}),extendSelection:ui(function(re,se,de){Ol(this,ws(this,re),se&&ws(this,se),de)}),extendSelections:ui(function(re,se){co(this,Oc(this,re),se)}),extendSelectionsBy:ui(function(re,se){var de=Ir(this.sel.ranges,re);co(this,Oc(this,de),se)}),setSelections:ui(function(re,se,de){if(re.length){for(var ce=[],pe=0;pe<re.length;pe++)ce[pe]=new Gi(ws(this,re[pe].anchor),ws(this,re[pe].head));se==null&&(se=Math.min(re.length-1,this.sel.primIndex)),xl(this,ho(this.cm,ce,se),de)}}),addSelection:ui(function(re,se,de){var ce=this.sel.ranges.slice(0);ce.push(new Gi(ws(this,re),ws(this,se||re))),xl(this,ho(this.cm,ce,ce.length-1),de)}),getSelection:function(re){for(var se=this.sel.ranges,de,ce=0;ce<se.length;ce++){var pe=Wa(this,se[ce].from(),se[ce].to());de=de?de.concat(pe):pe}return re===!1?de:de.join(re||this.lineSeparator())},getSelections:function(re){for(var se=[],de=this.sel.ranges,ce=0;ce<de.length;ce++){var pe=Wa(this,de[ce].from(),de[ce].to());re!==!1&&(pe=pe.join(re||this.lineSeparator())),se[ce]=pe}return se},replaceSelection:function(re,se,de){for(var ce=[],pe=0;pe<this.sel.ranges.length;pe++)ce[pe]=re;this.replaceSelections(ce,se,de||"+input")},replaceSelections:ui(function(re,se,de){for(var ce=[],pe=this.sel,be=0;be<pe.ranges.length;be++){var Ne=pe.ranges[be];ce[be]={from:Ne.from(),to:Ne.to(),text:this.splitLines(re[be]),origin:de}}for(var je=se&&se!="end"&&ka(this,ce,se),We=ce.length-1;We>=0;We--)Hc(this,ce[We]);je?Hd(this,je):this.cm&&en(this.cm)}),undo:ui(function(){td(this,"undo")}),redo:ui(function(){td(this,"redo")}),undoSelection:ui(function(){td(this,"undo",!0)}),redoSelection:ui(function(){td(this,"redo",!0)}),setExtending:function(re){this.extend=re},getExtending:function(){return this.extend},historySize:function(){for(var re=this.history,se=0,de=0,ce=0;ce<re.done.length;ce++)re.done[ce].ranges||++se;for(var pe=0;pe<re.undone.length;pe++)re.undone[pe].ranges||++de;return{undo:se,redo:de}},clearHistory:function(){var re=this;this.history=new ds(this.history.maxGeneration),Es(this,function(se){return se.history=re.history},!0)},markClean:function(){this.cleanGeneration=this.changeGeneration(!0)},changeGeneration:function(re){return re&&(this.history.lastOp=this.history.lastSelOp=this.history.lastOrigin=null),this.history.generation},isClean:function(re){return this.history.generation==(re||this.cleanGeneration)},getHistory:function(){return{done:Cc(this.history.done),undone:Cc(this.history.undone)}},setHistory:function(re){var se=this.history=new ds(this.history.maxGeneration);se.done=Cc(re.done.slice(0),null,!0),se.undone=Cc(re.undone.slice(0),null,!0)},setGutterMarker:ui(function(re,se,de){return sh(this,re,"gutter",function(ce){var pe=ce.gutterMarkers||(ce.gutterMarkers={});return pe[se]=de,!de&&Te(pe)&&(ce.gutterMarkers=null),!0})}),clearGutter:ui(function(re){var se=this;this.iter(function(de){de.gutterMarkers&&de.gutterMarkers[re]&&sh(se,de,"gutter",function(){return de.gutterMarkers[re]=null,Te(de.gutterMarkers)&&(de.gutterMarkers=null),!0})})}),lineInfo:function(re){var se;if(typeof re=="number"){if(!Vl(this,re)||(se=re,re=$r(this,re),!re))return null}else if(se=Ws(re),se==null)return null;return{line:se,handle:re,text:re.text,gutterMarkers:re.gutterMarkers,textClass:re.textClass,bgClass:re.bgClass,wrapClass:re.wrapClass,widgets:re.widgets}},addLineClass:ui(function(re,se,de){return sh(this,re,se=="gutter"?"gutter":"class",function(ce){var pe=se=="text"?"textClass":se=="background"?"bgClass":se=="gutter"?"gutterClass":"wrapClass";if(!ce[pe])ce[pe]=de;else{if($n(de).test(ce[pe]))return!1;ce[pe]+=" "+de}return!0})}),removeLineClass:ui(function(re,se,de){return sh(this,re,se=="gutter"?"gutter":"class",function(ce){var pe=se=="text"?"textClass":se=="background"?"bgClass":se=="gutter"?"gutterClass":"wrapClass",be=ce[pe];if(be)if(de==null)ce[pe]=null;else{var Ne=be.match($n(de));if(!Ne)return!1;var je=Ne.index+Ne[0].length;ce[pe]=be.slice(0,Ne.index)+(!Ne.index||je==be.length?"":" ")+be.slice(je)||null}else return!1;return!0})}),addLineWidget:ui(function(re,se,de){return jd(this,re,se,de)}),removeLineWidget:function(re){re.clear()},markText:function(re,se,de){return Uc(this,ws(this,re),ws(this,se),de,de&&de.type||"range")},setBookmark:function(re,se){var de={replacedWith:se&&(se.nodeType==null?se.widget:se),insertLeft:se&&se.insertLeft,clearWhenEmpty:!1,shared:se&&se.shared,handleMouseEvents:se&&se.handleMouseEvents};return re=ws(this,re),Uc(this,re,re,de,"bookmark")},findMarksAt:function(re){re=ws(this,re);var se=[],de=$r(this,re.line).markedSpans;if(de)for(var ce=0;ce<de.length;++ce){var pe=de[ce];(pe.from==null||pe.from<=re.ch)&&(pe.to==null||pe.to>=re.ch)&&se.push(pe.marker.parent||pe.marker)}return se},findMarks:function(re,se,de){re=ws(this,re),se=ws(this,se);var ce=[],pe=re.line;return this.iter(re.line,se.line+1,function(be){var Ne=be.markedSpans;if(Ne)for(var je=0;je<Ne.length;je++){var We=Ne[je];!(We.to!=null&&pe==re.line&&re.ch>=We.to||We.from==null&&pe!=re.line||We.from!=null&&pe==se.line&&We.from>=se.ch)&&(!de||de(We.marker))&&ce.push(We.marker.parent||We.marker)}++pe}),ce},getAllMarks:function(){var re=[];return this.iter(function(se){var de=se.markedSpans;if(de)for(var ce=0;ce<de.length;++ce)de[ce].from!=null&&re.push(de[ce].marker)}),re},posFromIndex:function(re){var se,de=this.first,ce=this.lineSeparator().length;return this.iter(function(pe){var be=pe.text.length+ce;if(be>re)return se=re,!0;re-=be,++de}),ws(this,wr(de,se))},indexFromPos:function(re){re=ws(this,re);var se=re.ch;if(re.line<this.first||re.ch<0)return 0;var de=this.lineSeparator().length;return this.iter(this.first,re.line,function(ce){se+=ce.text.length+de}),se},copy:function(re){var se=new Ts(Ca(this,this.first,this.first+this.size),this.modeOption,this.first,this.lineSep,this.direction);return se.scrollTop=this.scrollTop,se.scrollLeft=this.scrollLeft,se.sel=this.sel,se.extend=!1,re&&(se.history.undoDepth=this.history.undoDepth,se.setHistory(this.getHistory())),se},linkedDoc:function(re){re||(re={});var se=this.first,de=this.first+this.size;re.from!=null&&re.from>se&&(se=re.from),re.to!=null&&re.to<de&&(de=re.to);var ce=new Ts(Ca(this,se,de),re.mode||this.modeOption,se,this.lineSep,this.direction);return re.sharedHist&&(ce.history=this.history),(this.linked||(this.linked=[])).push({doc:ce,sharedHist:re.sharedHist}),ce.linked=[{doc:this,isParent:!0,sharedHist:re.sharedHist}],vm(ce,lh(this)),ce},unlinkDoc:function(re){if(re instanceof el&&(re=re.doc),this.linked)for(var se=0;se<this.linked.length;++se){var de=this.linked[se];if(de.doc==re){this.linked.splice(se,1),re.unlinkDoc(this),Eg(lh(this));break}}if(re.history==this.history){var ce=[re.id];Es(re,function(pe){return ce.push(pe.id)},!0),re.history=new ds(null),re.history.done=Cc(this.history.done,ce),re.history.undone=Cc(this.history.undone,ce)}},iterLinkedDocs:function(re){Es(this,re)},getMode:function(){return this.mode},getEditor:function(){return this.cm},splitLines:function(re){return this.lineSep?re.split(this.lineSep):ls(re)},lineSeparator:function(){return this.lineSep||`
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re;os(window,"resize",function(){re==null&&(re=setTimeout(function(){re=null,Am(xa)},100))}),os(window,"blur",function(){return Am(zh)})}function xa(re){var se=re.display;se.cachedCharWidth=se.cachedTextHeight=se.cachedPaddingH=null,se.scrollbarsClipped=!1,re.setSize()}for(var fo={3:"Pause",8:"Backspace",9:"Tab",13:"Enter",16:"Shift",17:"Ctrl",18:"Alt",19:"Pause",20:"CapsLock",27:"Esc",32:"Space",33:"PageUp",34:"PageDown",35:"End",36:"Home",37:"Left",38:"Up",39:"Right",40:"Down",44:"PrintScrn",45:"Insert",46:"Delete",59:";",61:"=",91:"Mod",92:"Mod",93:"Mod",106:"*",107:"=",109:"-",110:".",111:"/",145:"ScrollLock",173:"-",186:";",187:"=",188:",",189:"-",190:".",191:"/",192:"`",219:"[",220:"\\",221:"]",222:"'",224:"Mod",63232:"Up",63233:"Down",63234:"Left",63235:"Right",63272:"Delete",63273:"Home",63275:"End",63276:"PageUp",63277:"PageDown",63302:"Insert"},ol=0;ol<10;ol++)fo[ol+48]=fo[ol+96]=String(ol);for(var Vd=65;Vd<=90;Vd++)fo[Vd]=String.fromCharCode(Vd);for(var 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de=re.doc.sel.ranges,ce=[],pe=0;pe<de.length;pe++){for(var be=se(de[pe]);ce.length&&kn(be.from,Jn(ce).to)<=0;){var Ne=ce.pop();if(kn(Ne.from,be.from)<0){be.from=Ne.from;break}}ce.push(be)}fi(re,function(){for(var je=ce.length-1;je>=0;je--)rd(re.doc,"",ce[je].from,ce[je].to,"+delete");en(re)})}function ch(re,se,de){var ce=Tn(re.text,se+de,de);return ce<0||ce>re.text.length?null:ce}function Ip(re,se,de){var ce=ch(re,se.ch,de);return ce==null?null:new wr(se.line,ce,de<0?"after":"before")}function Wu(re,se,de,ce,pe){if(re){se.doc.direction=="rtl"&&(pe=-pe);var be=Ml(de,se.doc.direction);if(be){var Ne=pe<0?Jn(be):be[0],je=pe<0==(Ne.level==1),We=je?"after":"before",Je;if(Ne.level>0||se.doc.direction=="rtl"){var yt=Lh(se,de);Je=pe<0?de.text.length-1:0;var Ut=vd(se,yt,Je).top;Je=qi(function(Pn){return vd(se,yt,Pn).top==Ut},pe<0==(Ne.level==1)?Ne.from:Ne.to-1,Je),We=="before"&&(Je=ch(de,Je,1))}else Je=pe<0?Ne.to:Ne.from;return new wr(ce,Je,We)}}return new wr(ce,pe<0?de.text.length:0,pe<0?"before":"after")}function Yx(re,se,de,ce){var pe=Ml(se,re.doc.direction);if(!pe)return Ip(se,de,ce);de.ch>=se.text.length?(de.ch=se.text.length,de.sticky="before"):de.ch<=0&&(de.ch=0,de.sticky="after");var be=Ra(pe,de.ch,de.sticky),Ne=pe[be];if(re.doc.direction=="ltr"&&Ne.level%2==0&&(ce>0?Ne.to>de.ch:Ne.from<de.ch))return Ip(se,de,ce);var je=function(Ei,Ji){return ch(se,Ei instanceof wr?Ei.ch:Ei,Ji)},We,Je=function(Ei){return re.options.lineWrapping?(We=We||Lh(re,se),hg(re,se,We,Ei)):{begin:0,end:se.text.length}},yt=Je(de.sticky=="before"?je(de,-1):de.ch);if(re.doc.direction=="rtl"||Ne.level==1){var Ut=Ne.level==1==ce<0,Pn=je(de,Ut?1:-1);if(Pn!=null&&(Ut?Pn<=Ne.to&&Pn<=yt.end:Pn>=Ne.from&&Pn>=yt.begin)){var kt=Ut?"before":"after";return new wr(de.line,Pn,kt)}}var gr=function(Ei,Ji,bi){for(var fs=function(hl,Ou){return Ou?new wr(de.line,je(hl,1),"before"):new wr(de.line,hl,"after")};Ei>=0&&Ei<pe.length;Ei+=Ji){var 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re.moveH(-1,"column")},goColumnRight:function(re){return re.moveH(1,"column")},goWordLeft:function(re){return re.moveH(-1,"word")},goGroupRight:function(re){return re.moveH(1,"group")},goGroupLeft:function(re){return re.moveH(-1,"group")},goWordRight:function(re){return re.moveH(1,"word")},delCharBefore:function(re){return re.deleteH(-1,"codepoint")},delCharAfter:function(re){return re.deleteH(1,"char")},delWordBefore:function(re){return re.deleteH(-1,"word")},delWordAfter:function(re){return re.deleteH(1,"word")},delGroupBefore:function(re){return re.deleteH(-1,"group")},delGroupAfter:function(re){return re.deleteH(1,"group")},indentAuto:function(re){return re.indentSelection("smart")},indentMore:function(re){return re.indentSelection("add")},indentLess:function(re){return re.indentSelection("subtract")},insertTab:function(re){return re.replaceSelection("	")},insertSoftTab:function(re){for(var se=[],de=re.listSelections(),ce=re.options.tabSize,pe=0;pe<de.length;pe++){var 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re.options.extraKeys&&Do(se,re.options.extraKeys,de,re)||Do(se,re.options.keyMap,de,re)}var zl=new Ke;function bl(re,se,de,ce){var pe=re.state.keySeq;if(pe){if(xm(se))return"handled";if(/\'$/.test(se)?re.state.keySeq=null:zl.set(50,function(){re.state.keySeq==pe&&(re.state.keySeq=null,re.display.input.reset())}),wg(re,pe+" "+se,de,ce))return!0}return wg(re,se,de,ce)}function wg(re,se,de,ce){var pe=fl(re,se,ce);return pe=="multi"&&(re.state.keySeq=se),pe=="handled"&&Fa(re,"keyHandled",re,se,de),(pe=="handled"||pe=="multi")&&(No(de),y0(re)),!!pe}function Cg(re,se){var de=mf(se,!0);return de?se.shiftKey&&!re.state.keySeq?bl(re,"Shift-"+de,se,function(ce){return pu(re,ce,!0)})||bl(re,de,se,function(ce){if(typeof ce=="string"?/^go[A-Z]/.test(ce):ce.motion)return pu(re,ce)}):bl(re,de,se,function(ce){return pu(re,ce)}):!1}function id(re,se,de){return bl(re,"'"+de+"'",se,function(ce){return pu(re,ce,!0)})}var ym=null;function Pg(re){var se=this;if(!(re.target&&re.target!=se.display.input.getField())&&(se.curOp.focus=dn(),!Oa(se,re))){rt&&ot<11&&re.keyCode==27&&(re.returnValue=!1);var de=re.keyCode;se.display.shift=de==16||re.shiftKey;var ce=Cg(se,re);St&&(ym=ce?de:null,!ce&&de==88&&!Kn&&(Nt?re.metaKey:re.ctrlKey)&&se.replaceSelection("",null,"cut")),fe&&!Nt&&!ce&&de==46&&re.shiftKey&&!re.ctrlKey&&document.execCommand&&document.execCommand("cut"),de==18&&!/\bCodeMirror-crosshair\b/.test(se.display.lineDiv.className)&&cv(se)}}function cv(re){var se=re.display.lineDiv;nr(se,"CodeMirror-crosshair");function de(ce){(ce.keyCode==18||!ce.altKey)&&(An(se,"CodeMirror-crosshair"),Ta(document,"keyup",de),Ta(document,"mouseover",de))}os(document,"keyup",de),os(document,"mouseover",de)}function bm(re){re.keyCode==16&&(this.doc.sel.shift=!1),Oa(this,re)}function El(re){var se=this;if(!(re.target&&re.target!=se.display.input.getField())&&!(Ld(se.display,re)||Oa(se,re)||re.ctrlKey&&!re.altKey||Nt&&re.metaKey)){var de=re.keyCode,ce=re.charCode;if(St&&de==ym){ym=null,No(re);return}if(!(St&&(!re.which||re.which<10)&&Cg(se,re))){var pe=String.fromCharCode(ce==null?de:ce);pe!="\b"&&(id(se,re,pe)||se.display.input.onKeyPress(re))}}}var Ed=400,jc=function(re,se,de){this.time=re,this.pos=se,this.button=de};jc.prototype.compare=function(re,se,de){return this.time+Ed>re&&kn(se,this.pos)==0&&de==this.button};var Lf,gf;function vf(re,se){var de=+new Date;return gf&&gf.compare(de,re,se)?(Lf=gf=null,"triple"):Lf&&Lf.compare(de,re,se)?(gf=new jc(de,re,se),Lf=null,"double"):(Lf=new jc(de,re,se),gf=null,"single")}function Np(re){var se=this,de=se.display;if(!(Oa(se,re)||de.activeTouch&&de.input.supportsTouch())){if(de.input.ensurePolled(),de.shift=re.shiftKey,Ld(de,re)){at||(de.scroller.draggable=!1,setTimeout(function(){return de.scroller.draggable=!0},100));return}if(!Xh(se,re)){var ce=df(se,re),pe=or(re),be=ce?vf(ce,pe):"single";window.focus(),pe==1&&se.state.selectingText&&se.state.selectingText(re),!(ce&&w0(se,pe,ce,be,re))&&(pe==1?ce?jh(se,ce,be,re):Bn(re)==de.scroller&&No(re):pe==2?(ce&&Ol(se.doc,ce),setTimeout(function(){return de.input.focus()},20)):pe==3&&(In?se.display.input.onContextMenu(re):yg(se)))}}}function w0(re,se,de,ce,pe){var be="Click";return ce=="double"?be="Double"+be:ce=="triple"&&(be="Triple"+be),be=(se==1?"Left":se==2?"Middle":"Right")+be,bl(re,vA(be,pe),pe,function(Ne){if(typeof Ne=="string"&&(Ne=yl[Ne]),!Ne)return!1;var je=!1;try{re.isReadOnly()&&(re.state.suppressEdits=!0),je=Ne(re,de)!=Tr}finally{re.state.suppressEdits=!1}return je})}function Fp(re,se,de){var ce=re.getOption("configureMouse"),pe=ce?ce(re,se,de):{};if(pe.unit==null){var be=Lt?de.shiftKey&&de.metaKey:de.altKey;pe.unit=be?"rectangle":se=="single"?"char":se=="double"?"word":"line"}return(pe.extend==null||re.doc.extend)&&(pe.extend=re.doc.extend||de.shiftKey),pe.addNew==null&&(pe.addNew=Nt?de.metaKey:de.ctrlKey),pe.moveOnDrag==null&&(pe.moveOnDrag=!(Nt?de.altKey:de.ctrlKey)),pe}function jh(re,se,de,ce){rt?setTimeout(fn(lv,re),0):re.curOp.focus=dn();var pe=Fp(re,de,ce),be=re.doc.sel,Ne;re.options.dragDrop&&sr&&!re.isReadOnly()&&de=="single"&&(Ne=be.contains(se))>-1&&(kn((Ne=be.ranges[Ne]).from(),se)<0||se.xRel>0)&&(kn(Ne.to(),se)>0||se.xRel<0)?Vh(re,ce,se,pe):Gh(re,ce,se,pe)}function Vh(re,se,de,ce){var pe=re.display,be=!1,Ne=Wr(re,function(Je){at&&(pe.scroller.draggable=!1),re.state.draggingText=!1,Ta(pe.wrapper.ownerDocument,"mouseup",Ne),Ta(pe.wrapper.ownerDocument,"mousemove",je),Ta(pe.scroller,"dragstart",We),Ta(pe.scroller,"drop",Ne),be||(No(Je),ce.addNew||Ol(re.doc,de,null,null,ce.extend),at&&!Et||rt&&ot==9?setTimeout(function(){pe.wrapper.ownerDocument.body.focus({preventScroll:!0}),pe.input.focus()},20):pe.input.focus())}),je=function(Je){be=be||Math.abs(se.clientX-Je.clientX)+Math.abs(se.clientY-Je.clientY)>=10},We=function(){return be=!0};at&&(pe.scroller.draggable=!0),re.state.draggingText=Ne,Ne.copy=!ce.moveOnDrag,pe.scroller.dragDrop&&pe.scroller.dragDrop(),os(pe.wrapper.ownerDocument,"mouseup",Ne),os(pe.wrapper.ownerDocument,"mousemove",je),os(pe.scroller,"dragstart",We),os(pe.scroller,"drop",Ne),yg(re),setTimeout(function(){return pe.input.focus()},20)}function fh(re,se,de){if(de=="char")return new Gi(se,se);if(de=="word")return re.findWordAt(se);if(de=="line")return new Gi(wr(se.line,0),ws(re.doc,wr(se.line+1,0)));var ce=de(re,se);return new Gi(ce.from,ce.to)}function Gh(re,se,de,ce){var pe=re.display,be=re.doc;No(se);var Ne,je,We=be.sel,Je=We.ranges;if(ce.addNew&&!ce.extend?(je=be.sel.contains(de),je>-1?Ne=Je[je]:Ne=new Gi(de,de)):(Ne=be.sel.primary(),je=be.sel.primIndex),ce.unit=="rectangle")ce.addNew||(Ne=new Gi(de,de)),de=df(re,se,!0,!0),je=-1;else{var yt=fh(re,de,ce.unit);ce.extend?Ne=lu(Ne,yt.anchor,yt.head,ce.extend):Ne=yt}ce.addNew?je==-1?(je=Je.length,xl(be,ho(re,Je.concat([Ne]),je),{scroll:!1,origin:"*mouse"})):Je.length>1&&Je[je].empty()&&ce.unit=="char"&&!ce.extend?(xl(be,ho(re,Je.slice(0,je).concat(Je.slice(je+1)),0),{scroll:!1,origin:"*mouse"}),We=be.sel):Ko(be,je,Ne,zt):(je=0,xl(be,new oa([Ne],0),zt),We=be.sel);var Ut=de;function Pn(bi){if(kn(Ut,bi)!=0)if(Ut=bi,ce.unit=="rectangle"){for(var fs=[],ia=re.options.tabSize,Ys=ut($r(be,de.line).text,de.ch,ia),to=ut($r(be,bi.line).text,bi.ch,ia),hl=Math.min(Ys,to),Ou=Math.max(Ys,to),Zl=Math.min(de.line,bi.line),sd=Math.min(re.lastLine(),Math.max(de.line,bi.line));Zl<=sd;Zl++){var Gc=$r(be,Zl).text,Yl=yr(Gc,hl,ia);hl==Ou?fs.push(new Gi(wr(Zl,Yl),wr(Zl,Yl))):Gc.length>Yl&&fs.push(new Gi(wr(Zl,Yl),wr(Zl,yr(Gc,Ou,ia))))}fs.length||fs.push(new Gi(de,de)),xl(be,ho(re,We.ranges.slice(0,je).concat(fs),je),{origin:"*mouse",scroll:!1}),re.scrollIntoView(bi)}else{var fc=Ne,mu=fh(re,bi,ce.unit),Jl=fc.anchor,kl;kn(mu.anchor,Jl)>0?(kl=mu.head,Jl=Eu(fc.from(),mu.anchor)):(kl=mu.anchor,Jl=bu(fc.to(),mu.head));var Hl=We.ranges.slice(0);Hl[je]=hh(re,new Gi(ws(be,Jl),kl)),xl(be,ho(re,Hl,je),zt)}}var kt=pe.wrapper.getBoundingClientRect(),gr=0;function Dr(bi){var fs=++gr,ia=df(re,bi,!0,ce.unit=="rectangle");if(ia)if(kn(ia,Ut)!=0){re.curOp.focus=dn(),Pn(ia);var Ys=Ee(pe,be);(ia.line>=Ys.to||ia.line<Ys.from)&&setTimeout(Wr(re,function(){gr==fs&&Dr(bi)}),150)}else{var to=bi.clientY<kt.top?-20:bi.clientY>kt.bottom?20:0;to&&setTimeout(Wr(re,function(){gr==fs&&(pe.scroller.scrollTop+=to,Dr(bi))}),50)}}function ni(bi){re.state.selectingText=!1,gr=1/0,bi&&(No(bi),pe.input.focus()),Ta(pe.wrapper.ownerDocument,"mousemove",Ei),Ta(pe.wrapper.ownerDocument,"mouseup",Ji),be.history.lastSelOrigin=null}var Ei=Wr(re,function(bi){bi.buttons===0||!or(bi)?ni(bi):Dr(bi)}),Ji=Wr(re,ni);re.state.selectingText=Ji,os(pe.wrapper.ownerDocument,"mousemove",Ei),os(pe.wrapper.ownerDocument,"mouseup",Ji)}function hh(re,se){var de=se.anchor,ce=se.head,pe=$r(re.doc,de.line);if(kn(de,ce)==0&&de.sticky==ce.sticky)return se;var be=Ml(pe);if(!be)return se;var Ne=Ra(be,de.ch,de.sticky),je=be[Ne];if(je.from!=de.ch&&je.to!=de.ch)return se;var We=Ne+(je.from==de.ch==(je.level!=1)?0:1);if(We==0||We==be.length)return se;var Je;if(ce.line!=de.line)Je=(ce.line-de.line)*(re.doc.direction=="ltr"?1:-1)>0;else{var yt=Ra(be,ce.ch,ce.sticky),Ut=yt-Ne||(ce.ch-de.ch)*(je.level==1?-1:1);yt==We-1||yt==We?Je=Ut<0:Je=Ut>0}var Pn=be[We+(Je?-1:0)],kt=Je==(Pn.level==1),gr=kt?Pn.from:Pn.to,Dr=kt?"after":"before";return de.ch==gr&&de.sticky==Dr?se:new Gi(new wr(de.line,gr,Dr),ce)}function Em(re,se,de,ce){var pe,be;if(se.touches)pe=se.touches[0].clientX,be=se.touches[0].clientY;else try{pe=se.clientX,be=se.clientY}catch(Pn){return!1}if(pe>=Math.floor(re.display.gutters.getBoundingClientRect().right))return!1;ce&&No(se);var Ne=re.display,je=Ne.lineDiv.getBoundingClientRect();if(be>je.bottom||!vi(re,de))return nl(se);be-=je.top-Ne.viewOffset;for(var We=0;We<re.display.gutterSpecs.length;++We){var Je=Ne.gutters.childNodes[We];if(Je&&Je.getBoundingClientRect().right>=pe){var yt=vo(re.doc,be),Ut=re.display.gutterSpecs[We];return rs(re,de,re,yt,Ut.className,se),nl(se)}}}function Xh(re,se){return Em(re,se,"gutterClick",!0)}function wm(re,se){Ld(re.display,se)||Cm(re,se)||Oa(re,se,"contextmenu")||In||re.display.input.onContextMenu(se)}function Cm(re,se){return vi(re,"gutterContextMenu")?Em(re,se,"gutterContextMenu",!1):!1}function Pm(re){re.display.wrapper.className=re.display.wrapper.className.replace(/\s*cm-s-\S+/g,"")+re.options.theme.replace(/(^|\s)\s*/g," cm-s-"),Rh(re)}var Af={toString:function(){return"CodeMirror.Init"}},ph={},mh={};function Sm(re){var se=re.optionHandlers;function de(ce,pe,be,Ne){re.defaults[ce]=pe,be&&(se[ce]=Ne?function(je,We,Je){Je!=Af&&be(je,We,Je)}:be)}re.defineOption=de,re.Init=Af,de("value","",function(ce,pe){return ce.setValue(pe)},!0),de("mode",null,function(ce,pe){ce.doc.modeOption=pe,uo(ce)},!0),de("indentUnit",2,uo,!0),de("indentWithTabs",!1),de("smartIndent",!0),de("tabSize",4,function(ce){Yo(ce),Rh(ce),Lu(ce)},!0),de("lineSeparator",null,function(ce,pe){if(ce.doc.lineSep=pe,!!pe){var be=[],Ne=ce.doc.first;ce.doc.iter(function(We){for(var Je=0;;){var 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ce.getInputField().autocapitalize=pe},!0),de("rtlMoveVisually",!Qt),de("wholeLineUpdateBefore",!0),de("theme","default",function(ce){Pm(ce),ma(ce)},!0),de("keyMap","default",function(ce,pe,be){var Ne=E0(pe),je=be!=Af&&E0(be);je&&je.detach&&je.detach(ce,Ne),Ne.attach&&Ne.attach(ce,je||null)}),de("extraKeys",null),de("configureMouse",null),de("lineWrapping",!1,Lp,!0),de("gutters",[],function(ce,pe){ce.display.gutterSpecs=Pa(pe,ce.options.lineNumbers),ma(ce)},!0),de("fixedGutter",!0,function(ce,pe){ce.display.gutters.style.left=pe?mg(ce.display)+"px":"0",ce.refresh()},!0),de("coverGutterNextToScrollbar",!1,function(ce){return Vn(ce)},!0),de("scrollbarStyle","native",function(ce){Cr(ce),Vn(ce),ce.display.scrollbars.setScrollTop(ce.doc.scrollTop),ce.display.scrollbars.setScrollLeft(ce.doc.scrollLeft)},!0),de("lineNumbers",!1,function(ce,pe){ce.display.gutterSpecs=Pa(ce.options.gutters,pe),ma(ce)},!0),de("firstLineNumber",1,ma,!0),de("lineNumberFormatter",function(ce){return ce},ma,!0),de("showCursorWhenSelecting",!1,Bp,!0),de("resetSelectionOnContextMenu",!0),de("lineWiseCopyCut",!0),de("pasteLinesPerSelection",!0),de("selectionsMayTouch",!1),de("readOnly",!1,function(ce,pe){pe=="nocursor"&&(zh(ce),ce.display.input.blur()),ce.display.input.readOnlyChanged(pe)}),de("screenReaderLabel",null,function(ce,pe){pe=pe===""?null:pe,ce.display.input.screenReaderLabelChanged(pe)}),de("disableInput",!1,function(ce,pe){pe||ce.display.input.reset()},!0),de("dragDrop",!0,Bm),de("allowDropFileTypes",null),de("cursorBlinkRate",530),de("cursorScrollMargin",0),de("cursorHeight",1,Bp,!0),de("singleCursorHeightPerLine",!0,Bp,!0),de("workTime",100),de("workDelay",100),de("flattenSpans",!0,Yo,!0),de("addModeClass",!1,Yo,!0),de("pollInterval",100),de("undoDepth",200,function(ce,pe){return ce.doc.history.undoDepth=pe}),de("historyEventDelay",1250),de("viewportMargin",10,function(ce){return ce.refresh()},!0),de("maxHighlightLength",1e4,Yo,!0),de("moveInputWithCursor",!0,function(ce,pe){pe||ce.display.input.resetPosition()}),de("tabindex",null,function(ce,pe){return ce.display.input.getField().tabIndex=pe||""}),de("autofocus",null),de("direction","ltr",function(ce,pe){return ce.doc.setDirection(pe)},!0),de("phrases",null)}function Bm(re,se,de){var ce=de&&de!=Af;if(!se!=!ce){var pe=re.display.dragFunctions,be=se?os:Ta;be(re.display.scroller,"dragstart",pe.start),be(re.display.scroller,"dragenter",pe.enter),be(re.display.scroller,"dragover",pe.over),be(re.display.scroller,"dragleave",pe.leave),be(re.display.scroller,"drop",pe.drop)}}function Lp(re){re.options.lineWrapping?(nr(re.display.wrapper,"CodeMirror-wrap"),re.display.sizer.style.minWidth="",re.display.sizerWidth=null):(An(re.display.wrapper,"CodeMirror-wrap"),Tl(re)),Sp(re),Lu(re),Rh(re),setTimeout(function(){return Vn(re)},100)}function el(re,se){var de=this;if(!(this instanceof el))return new el(re,se);this.options=se=se?Mr(se):{},Mr(ph,se,!1);var ce=se.value;typeof ce=="string"?ce=new Ts(ce,se.mode,null,se.lineSeparator,se.direction):se.mode&&(ce.modeOption=se.mode),this.doc=ce;var pe=new el.inputStyles[se.inputStyle](this),be=this.display=new Ja(re,ce,pe,se);be.wrapper.CodeMirror=this,Pm(this),se.lineWrapping&&(this.display.wrapper.className+=" CodeMirror-wrap"),Cr(this),this.state={keyMaps:[],overlays:[],modeGen:0,overwrite:!1,delayingBlurEvent:!1,focused:!1,suppressEdits:!1,pasteIncoming:-1,cutIncoming:-1,selectingText:!1,draggingText:!1,highlight:new Ke,keySeq:null,specialChars:null},se.autofocus&&!Bt&&be.input.focus(),rt&&ot<11&&setTimeout(function(){return de.display.input.reset(!0)},20),Rp(this),wo(),Fr(this),this.curOp.forceUpdate=!0,$i(this,ce),se.autofocus&&!Bt||this.hasFocus()?setTimeout(function(){de.hasFocus()&&!de.state.focused&&If(de)},20):zh(this);for(var Ne in mh)mh.hasOwnProperty(Ne)&&mh[Ne](this,se[Ne],Af);Ea(this),se.finishInit&&se.finishInit(this);for(var je=0;je<Wh.length;++je)Wh[je](this);Hr(this),at&&se.lineWrapping&&getComputedStyle(be.lineDiv).textRendering=="optimizelegibility"&&(be.lineDiv.style.textRendering="auto")}el.defaults=ph,el.optionHandlers=mh;function Rp(re){var se=re.display;os(se.scroller,"mousedown",Wr(re,Np)),rt&&ot<11?os(se.scroller,"dblclick",Wr(re,function(We){if(!Oa(re,We)){var Je=df(re,We);if(!(!Je||Xh(re,We)||Ld(re.display,We))){No(We);var yt=re.findWordAt(Je);Ol(re.doc,yt.anchor,yt.head)}}})):os(se.scroller,"dblclick",function(We){return Oa(re,We)||No(We)}),os(se.scroller,"contextmenu",function(We){return wm(re,We)}),os(se.input.getField(),"contextmenu",function(We){se.scroller.contains(We.target)||wm(re,We)});var de,ce={end:0};function pe(){se.activeTouch&&(de=setTimeout(function(){return se.activeTouch=null},1e3),ce=se.activeTouch,ce.end=+new Date)}function be(We){if(We.touches.length!=1)return!1;var Je=We.touches[0];return Je.radiusX<=1&&Je.radiusY<=1}function Ne(We,Je){if(Je.left==null)return!0;var yt=Je.left-We.left,Ut=Je.top-We.top;return yt*yt+Ut*Ut>20*20}os(se.scroller,"touchstart",function(We){if(!Oa(re,We)&&!be(We)&&!Xh(re,We)){se.input.ensurePolled(),clearTimeout(de);var Je=+new Date;se.activeTouch={start:Je,moved:!1,prev:Je-ce.end<=300?ce:null},We.touches.length==1&&(se.activeTouch.left=We.touches[0].pageX,se.activeTouch.top=We.touches[0].pageY)}}),os(se.scroller,"touchmove",function(){se.activeTouch&&(se.activeTouch.moved=!0)}),os(se.scroller,"touchend",function(We){var Je=se.activeTouch;if(Je&&!Ld(se,We)&&Je.left!=null&&!Je.moved&&new Date-Je.start<300){var yt=re.coordsChar(se.activeTouch,"page"),Ut;!Je.prev||Ne(Je,Je.prev)?Ut=new Gi(yt,yt):!Je.prev.prev||Ne(Je,Je.prev.prev)?Ut=re.findWordAt(yt):Ut=new Gi(wr(yt.line,0),ws(re.doc,wr(yt.line+1,0))),re.setSelection(Ut.anchor,Ut.head),re.focus(),No(We)}pe()}),os(se.scroller,"touchcancel",pe),os(se.scroller,"scroll",function(){se.scroller.clientHeight&&(_n(re,se.scroller.scrollTop),ur(re,se.scroller.scrollLeft,!0),rs(re,"scroll",re))}),os(se.scroller,"mousewheel",function(We){return Eo(re,We)}),os(se.scroller,"DOMMouseScroll",function(We){return Eo(re,We)}),os(se.wrapper,"scroll",function(){return se.wrapper.scrollTop=se.wrapper.scrollLeft=0}),se.dragFunctions={enter:function(We){Oa(re,We)||bn(We)},over:function(We){Oa(re,We)||(uv(re,We),bn(We))},start:function(We){return Tp(re,We)},drop:Wr(re,bd),leave:function(We){Oa(re,We)||Dp(re)}};var je=se.input.getField();os(je,"keyup",function(We){return bm.call(re,We)}),os(je,"keydown",Wr(re,Pg)),os(je,"keypress",Wr(re,El)),os(je,"focus",function(We){return If(re,We)}),os(je,"blur",function(We){return zh(re,We)})}var Wh=[];el.defineInitHook=function(re){return Wh.push(re)};function xf(re,se,de,ce){var pe=re.doc,be;de==null&&(de="add"),de=="smart"&&(pe.mode.indent?be=Ho(re,se).state:de="prev");var Ne=re.options.tabSize,je=$r(pe,se),We=ut(je.text,null,Ne);je.stateAfter&&(je.stateAfter=null);var Je=je.text.match(/^\s*/)[0],yt;if(!ce&&!/\S/.test(je.text))yt=0,de="not";else if(de=="smart"&&(yt=pe.mode.indent(be,je.text.slice(Je.length),je.text),yt==Tr||yt>150)){if(!ce)return;de="prev"}de=="prev"?se>pe.first?yt=ut($r(pe,se-1).text,null,Ne):yt=0:de=="add"?yt=We+re.options.indentUnit:de=="subtract"?yt=We-re.options.indentUnit:typeof de=="number"&&(yt=We+de),yt=Math.max(0,yt);var Ut="",Pn=0;if(re.options.indentWithTabs)for(var kt=Math.floor(yt/Ne);kt;--kt)Pn+=Ne,Ut+="	";if(Pn<yt&&(Ut+=tn(yt-Pn)),Ut!=Je)return rd(pe,Ut,wr(se,0),wr(se,Je.length),"+input"),je.stateAfter=null,!0;for(var gr=0;gr<pe.sel.ranges.length;gr++){var Dr=pe.sel.ranges[gr];if(Dr.head.line==se&&Dr.head.ch<Je.length){var ni=wr(se,Je.length);Ko(pe,gr,new Gi(ni,ni));break}}}var Vc=null;function yf(re){Vc=re}function Qh(re,se,de,ce,pe){var be=re.doc;re.display.shift=!1,ce||(ce=be.sel);var Ne=+new Date-200,je=pe=="paste"||re.state.pasteIncoming>Ne,We=ls(se),Je=null;if(je&&ce.ranges.length>1)if(Vc&&Vc.text.join(`
`)==se){if(ce.ranges.length%Vc.text.length==0){Je=[];for(var yt=0;yt<Vc.text.length;yt++)Je.push(be.splitLines(Vc.text[yt]))}}else We.length==ce.ranges.length&&re.options.pasteLinesPerSelection&&(Je=Ir(We,function(Ei){return[Ei]}));for(var Ut=re.curOp.updateInput,Pn=ce.ranges.length-1;Pn>=0;Pn--){var kt=ce.ranges[Pn],gr=kt.from(),Dr=kt.to();kt.empty()&&(de&&de>0?gr=wr(gr.line,gr.ch-de):re.state.overwrite&&!je?Dr=wr(Dr.line,Math.min($r(be,Dr.line).text.length,Dr.ch+Jn(We).length)):je&&Vc&&Vc.lineWise&&Vc.text.join(`
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be.electricInput&&be.electricInput.test($r(re.doc,pe.head.line).text.slice(0,pe.head.ch))&&(Ne=xf(re,pe.head.line,"smart"));Ne&&Fa(re,"electricInput",re,pe.head.line)}}}function kp(re){for(var se=[],de=[],ce=0;ce<re.doc.sel.ranges.length;ce++){var pe=re.doc.sel.ranges[ce].head.line,be={anchor:wr(pe,0),head:wr(pe+1,0)};de.push(be),se.push(re.getRange(be.anchor,be.head))}return{text:se,ranges:de}}function C0(re,se,de,ce){re.setAttribute("autocorrect",de?"":"off"),re.setAttribute("autocapitalize",ce?"":"off"),re.setAttribute("spellcheck",!!se)}function P0(){var re=$t("textarea",null,null,"position: absolute; bottom: -1em; padding: 0; width: 1px; height: 1em; outline: none"),se=$t("div",[re],null,"overflow: hidden; position: relative; width: 3px; height: 0px;");return at?re.style.width="1000px":re.setAttribute("wrap","off"),jt&&(re.style.border="1px solid black"),C0(re),se}function Mm(re){var se=re.optionHandlers,de=re.helpers={};re.prototype={constructor:re,focus:function(){window.focus(),this.display.input.focus()},setOption:function(ce,pe){var be=this.options,Ne=be[ce];be[ce]==pe&&ce!="mode"||(be[ce]=pe,se.hasOwnProperty(ce)&&Wr(this,se[ce])(this,pe,Ne),rs(this,"optionChange",this,ce))},getOption:function(ce){return this.options[ce]},getDoc:function(){return this.doc},addKeyMap:function(ce,pe){this.state.keyMaps[pe?"push":"unshift"](E0(ce))},removeKeyMap:function(ce){for(var pe=this.state.keyMaps,be=0;be<pe.length;++be)if(pe[be]==ce||pe[be].name==ce)return pe.splice(be,1),!0},addOverlay:ii(function(ce,pe){var be=ce.token?ce:re.getMode(this.options,ce);if(be.startState)throw new Error("Overlays may not be stateful.");xs(this.state.overlays,{mode:be,modeSpec:ce,opaque:pe&&pe.opaque,priority:pe&&pe.priority||0},function(Ne){return Ne.priority}),this.state.modeGen++,Lu(this)}),removeOverlay:ii(function(ce){for(var pe=this.state.overlays,be=0;be<pe.length;++be){var Ne=pe[be].modeSpec;if(Ne==ce||typeof ce=="string"&&Ne.name==ce){pe.splice(be,1),this.state.modeGen++,Lu(this);return}}}),indentLine:ii(function(ce,pe,be){typeof pe!="string"&&typeof pe!="number"&&(pe==null?pe=this.options.smartIndent?"smart":"prev":pe=pe?"add":"subtract"),Vl(this.doc,ce)&&xf(this,ce,pe,be)}),indentSelection:ii(function(ce){for(var pe=this.doc.sel.ranges,be=-1,Ne=0;Ne<pe.length;Ne++){var je=pe[Ne];if(je.empty())je.head.line>be&&(xf(this,je.head.line,ce,!0),be=je.head.line,Ne==this.doc.sel.primIndex&&en(this));else{var We=je.from(),Je=je.to(),yt=Math.max(be,We.line);be=Math.min(this.lastLine(),Je.line-(Je.ch?0:1))+1;for(var Ut=yt;Ut<be;++Ut)xf(this,Ut,ce);var Pn=this.doc.sel.ranges;We.ch==0&&pe.length==Pn.length&&Pn[Ne].from().ch>0&&Ko(this.doc,Ne,new Gi(We,Pn[Ne].to()),wt)}}}),getTokenAt:function(ce,pe){return cl(this,ce,pe)},getLineTokens:function(ce,pe){return cl(this,wr(ce),pe,!0)},getTokenTypeAt:function(ce){ce=ws(this.doc,ce);var pe=_o(this,$r(this.doc,ce.line)),be=0,Ne=(pe.length-1)/2,je=ce.ch,We;if(je==0)We=pe[2];else for(;;){var Je=be+Ne>>1;if((Je?pe[Je*2-1]:0)>=je)Ne=Je;else if(pe[Je*2+1]<je)be=Je+1;else{We=pe[Je*2+2];break}}var yt=We?We.indexOf("overlay "):-1;return yt<0?We:yt==0?null:We.slice(0,yt-1)},getModeAt:function(ce){var pe=this.doc.mode;return pe.innerMode?re.innerMode(pe,this.getTokenAt(ce).state).mode:pe},getHelper:function(ce,pe){return this.getHelpers(ce,pe)[0]},getHelpers:function(ce,pe){var be=[];if(!de.hasOwnProperty(pe))return be;var Ne=de[pe],je=this.getModeAt(ce);if(typeof je[pe]=="string")Ne[je[pe]]&&be.push(Ne[je[pe]]);else if(je[pe])for(var We=0;We<je[pe].length;We++){var Je=Ne[je[pe][We]];Je&&be.push(Je)}else je.helperType&&Ne[je.helperType]?be.push(Ne[je.helperType]):Ne[je.name]&&be.push(Ne[je.name]);for(var yt=0;yt<Ne._global.length;yt++){var Ut=Ne._global[yt];Ut.pred(je,this)&&Xn(be,Ut.val)==-1&&be.push(Ut.val)}return be},getStateAfter:function(ce,pe){var be=this.doc;return ce=tc(be,ce==null?be.first+be.size-1:ce),Ho(this,ce+1,pe).state},cursorCoords:function(ce,pe){var be,Ne=this.doc.sel.primary();return ce==null?be=Ne.head:typeof ce=="object"?be=ws(this.doc,ce):be=ce?Ne.from():Ne.to(),wc(this,be,pe||"page")},charCoords:function(ce,pe){return Oh(this,ws(this.doc,ce),pe||"page")},coordsChar:function(ce,pe){return ce=fg(this,ce,pe||"page"),wp(this,ce.left,ce.top)},lineAtHeight:function(ce,pe){return ce=fg(this,{top:ce,left:0},pe||"page").top,vo(this.doc,ce+this.display.viewOffset)},heightAtLine:function(ce,pe,be){var Ne=!1,je;if(typeof ce=="number"){var We=this.doc.first+this.doc.size-1;ce<this.doc.first?ce=this.doc.first:ce>We&&(ce=We,Ne=!0),je=$r(this.doc,ce)}else je=ce;return mm(this,je,{top:0,left:0},pe||"page",be||Ne).top+(Ne?this.doc.height-Ya(je):0)},defaultTextHeight:function(){return Od(this.display)},defaultCharWidth:function(){return Pp(this.display)},getViewport:function(){return{from:this.display.viewFrom,to:this.display.viewTo}},addWidget:function(ce,pe,be,Ne,je){var We=this.display;ce=wc(this,ws(this.doc,ce));var Je=ce.bottom,yt=ce.left;if(pe.style.position="absolute",pe.setAttribute("cm-ignore-events","true"),this.display.input.setUneditable(pe),We.sizer.appendChild(pe),Ne=="over")Je=ce.top;else if(Ne=="above"||Ne=="near"){var Ut=Math.max(We.wrapper.clientHeight,this.doc.height),Pn=Math.max(We.sizer.clientWidth,We.lineSpace.clientWidth);(Ne=="above"||ce.bottom+pe.offsetHeight>Ut)&&ce.top>pe.offsetHeight?Je=ce.top-pe.offsetHeight:ce.bottom+pe.offsetHeight<=Ut&&(Je=ce.bottom),yt+pe.offsetWidth>Pn&&(yt=Pn-pe.offsetWidth)}pe.style.top=Je+"px",pe.style.left=pe.style.right="",je=="right"?(yt=We.sizer.clientWidth-pe.offsetWidth,pe.style.right="0px"):(je=="left"?yt=0:je=="middle"&&(yt=(We.sizer.clientWidth-pe.offsetWidth)/2),pe.style.left=yt+"px"),be&&tt(this,{left:yt,top:Je,right:yt+pe.offsetWidth,bottom:Je+pe.offsetHeight})},triggerOnKeyDown:ii(Pg),triggerOnKeyPress:ii(El),triggerOnKeyUp:bm,triggerOnMouseDown:ii(Np),execCommand:function(ce){if(yl.hasOwnProperty(ce))return yl[ce].call(null,this)},triggerElectric:ii(function(ce){zp(this,ce)}),findPosH:function(ce,pe,be,Ne){var je=1;pe<0&&(je=-1,pe=-pe);for(var We=ws(this.doc,ce),Je=0;Je<pe&&(We=gh(this.doc,We,je,be,Ne),!We.hitSide);++Je);return We},moveH:ii(function(ce,pe){var be=this;this.extendSelectionsBy(function(Ne){return be.display.shift||be.doc.extend||Ne.empty()?gh(be.doc,Ne.head,ce,pe,be.options.rtlMoveVisually):ce<0?Ne.from():Ne.to()},Mn)}),deleteH:ii(function(ce,pe){var be=this.doc.sel,Ne=this.doc;be.somethingSelected()?Ne.replaceSelection("",null,"+delete"):Co(this,function(je){var We=gh(Ne,je.head,ce,pe,!1);return ce<0?{from:We,to:je.head}:{from:je.head,to:We}})}),findPosV:function(ce,pe,be,Ne){var je=1,We=Ne;pe<0&&(je=-1,pe=-pe);for(var Je=ws(this.doc,ce),yt=0;yt<pe;++yt){var Ut=wc(this,Je,"div");if(We==null?We=Ut.left:Ut.left=We,Je=Rf(this,Ut,je,be),Je.hitSide)break}return Je},moveV:ii(function(ce,pe){var be=this,Ne=this.doc,je=[],We=!this.display.shift&&!Ne.extend&&Ne.sel.somethingSelected();if(Ne.extendSelectionsBy(function(yt){if(We)return ce<0?yt.from():yt.to();var Ut=wc(be,yt.head,"div");yt.goalColumn!=null&&(Ut.left=yt.goalColumn),je.push(Ut.left);var Pn=Rf(be,Ut,ce,pe);return pe=="page"&&yt==Ne.sel.primary()&&Gt(be,Oh(be,Pn,"div").top-Ut.top),Pn},Mn),je.length)for(var Je=0;Je<Ne.sel.ranges.length;Je++)Ne.sel.ranges[Je].goalColumn=je[Je]}),findWordAt:function(ce){var pe=this.doc,be=$r(pe,ce.line).text,Ne=ce.ch,je=ce.ch;if(be){var We=this.getHelper(ce,"wordChars");(ce.sticky=="before"||je==be.length)&&Ne?--Ne:++je;for(var Je=be.charAt(Ne),yt=_e(Je,We)?function(Ut){return _e(Ut,We)}:/\s/.test(Je)?function(Ut){return/\s/.test(Ut)}:function(Ut){return!/\s/.test(Ut)&&!_e(Ut)};Ne>0&&yt(be.charAt(Ne-1));)--Ne;for(;je<be.length&&yt(be.charAt(je));)++je}return new Gi(wr(ce.line,Ne),wr(ce.line,je))},toggleOverwrite:function(ce){ce!=null&&ce==this.state.overwrite||((this.state.overwrite=!this.state.overwrite)?nr(this.display.cursorDiv,"CodeMirror-overwrite"):An(this.display.cursorDiv,"CodeMirror-overwrite"),rs(this,"overwriteToggle",this,this.state.overwrite))},hasFocus:function(){return this.display.input.getField()==dn()},isReadOnly:function(){return!!(this.options.readOnly||this.doc.cantEdit)},scrollTo:ii(function(ce,pe){ln(this,ce,pe)}),getScrollInfo:function(){var ce=this.display.scroller;return{left:ce.scrollLeft,top:ce.scrollTop,height:ce.scrollHeight-lc(this)-this.display.barHeight,width:ce.scrollWidth-lc(this)-this.display.barWidth,clientHeight:lo(this),clientWidth:cf(this)}},scrollIntoView:ii(function(ce,pe){ce==null?(ce={from:this.doc.sel.primary().head,to:null},pe==null&&(pe=this.options.cursorScrollMargin)):typeof ce=="number"?ce={from:wr(ce,0),to:null}:ce.from==null&&(ce={from:ce,to:null}),ce.to||(ce.to=ce.from),ce.margin=pe||0,ce.from.line!=null?Rn(this,ce):un(this,ce.from,ce.to,ce.margin)}),setSize:ii(function(ce,pe){var be=this,Ne=function(We){return typeof We=="number"||/^\d+$/.test(String(We))?We+"px":We};ce!=null&&(this.display.wrapper.style.width=Ne(ce)),pe!=null&&(this.display.wrapper.style.height=Ne(pe)),this.options.lineWrapping&&Ep(this);var je=this.display.viewFrom;this.doc.iter(je,this.display.viewTo,function(We){if(We.widgets){for(var Je=0;Je<We.widgets.length;Je++)if(We.widgets[Je].noHScroll){Tf(be,je,"widget");break}}++je}),this.curOp.forceUpdate=!0,rs(this,"refresh",this)}),operation:function(ce){return fi(this,ce)},startOperation:function(){return Fr(this)},endOperation:function(){return Hr(this)},refresh:ii(function(){var ce=this.display.cachedTextHeight;Lu(this),this.curOp.forceUpdate=!0,Rh(this),ln(this,this.doc.scrollLeft,this.doc.scrollTop),aa(this.display),(ce==null||Math.abs(ce-Od(this.display))>.5||this.options.lineWrapping)&&Sp(this),rs(this,"refresh",this)}),swapDoc:ii(function(ce){var pe=this.doc;return pe.cm=null,this.state.selectingText&&this.state.selectingText(),$i(this,ce),Rh(this),this.display.input.reset(),ln(this,ce.scrollLeft,ce.scrollTop),this.curOp.forceScroll=!0,Fa(this,"swapDoc",this,pe),pe}),phrase:function(ce){var pe=this.options.phrases;return pe&&Object.prototype.hasOwnProperty.call(pe,ce)?pe[ce]:ce},getInputField:function(){return this.display.input.getField()},getWrapperElement:function(){return this.display.wrapper},getScrollerElement:function(){return this.display.scroller},getGutterElement:function(){return this.display.gutters}},ko(re),re.registerHelper=function(ce,pe,be){de.hasOwnProperty(ce)||(de[ce]=re[ce]={_global:[]}),de[ce][pe]=be},re.registerGlobalHelper=function(ce,pe,be,Ne){re.registerHelper(ce,pe,Ne),de[ce]._global.push({pred:be,val:Ne})}}function gh(re,se,de,ce,pe){var be=se,Ne=de,je=$r(re,se.line),We=pe&&re.direction=="rtl"?-de:de;function Je(){var Ji=se.line+We;return Ji<re.first||Ji>=re.first+re.size?!1:(se=new wr(Ji,se.ch,se.sticky),je=$r(re,Ji))}function yt(Ji){var bi;if(ce=="codepoint"){var fs=je.text.charCodeAt(se.ch+(ce>0?0:-1));isNaN(fs)?bi=null:bi=new wr(se.line,Math.max(0,Math.min(je.text.length,se.ch+de*(fs>=55296&&fs<56320?2:1))),-de)}else pe?bi=Yx(re.cm,je,se,de):bi=Ip(je,se,de);if(bi==null)if(!Ji&&Je())se=Wu(pe,re.cm,je,se.line,We);else return!1;else se=bi;return!0}if(ce=="char"||ce=="codepoint")yt();else if(ce=="column")yt(!0);else if(ce=="word"||ce=="group")for(var Ut=null,Pn=ce=="group",kt=re.cm&&re.cm.getHelper(se,"wordChars"),gr=!0;!(de<0&&!yt(!gr));gr=!1){var Dr=je.text.charAt(se.ch)||`
`,ni=_e(Dr,kt)?"w":Pn&&Dr==`
`?"n":!Pn||/\s/.test(Dr)?null:"p";if(Pn&&!gr&&!ni&&(ni="s"),Ut&&Ut!=ni){de<0&&(de=1,yt(),se.sticky="after");break}if(ni&&(Ut=ni),de>0&&!yt(!gr))break}var Ei=dc(re,se,be,Ne,!0);return Qa(be,Ei)&&(Ei.hitSide=!0),Ei}function Rf(re,se,de,ce){var pe=re.doc,be=se.left,Ne;if(ce=="page"){var je=Math.min(re.display.wrapper.clientHeight,window.innerHeight||document.documentElement.clientHeight),We=Math.max(je-.5*Od(re.display),3);Ne=(de>0?se.bottom:se.top)+de*We}else ce=="line"&&(Ne=de>0?se.bottom+3:se.top-3);for(var Je;Je=wp(re,be,Ne),!!Je.outside;){if(de<0?Ne<=0:Ne>=pe.height){Je.hitSide=!0;break}Ne+=de*5}return Je}var bo=function(re){this.cm=re,this.lastAnchorNode=this.lastAnchorOffset=this.lastFocusNode=this.lastFocusOffset=null,this.polling=new Ke,this.composing=null,this.gracePeriod=!1,this.readDOMTimeout=null};bo.prototype.init=function(re){var se=this,de=this,ce=de.cm,pe=de.div=re.lineDiv;C0(pe,ce.options.spellcheck,ce.options.autocorrect,ce.options.autocapitalize);function be(je){for(var We=je.target;We;We=We.parentNode){if(We==pe)return!0;if(/\bCodeMirror-(?:line)?widget\b/.test(We.className))break}return!1}os(pe,"paste",function(je){!be(je)||Oa(ce,je)||Op(je,ce)||ot<=11&&setTimeout(Wr(ce,function(){return se.updateFromDOM()}),20)}),os(pe,"compositionstart",function(je){se.composing={data:je.data,done:!1}}),os(pe,"compositionupdate",function(je){se.composing||(se.composing={data:je.data,done:!1})}),os(pe,"compositionend",function(je){se.composing&&(je.data!=se.composing.data&&se.readFromDOMSoon(),se.composing.done=!0)}),os(pe,"touchstart",function(){return de.forceCompositionEnd()}),os(pe,"input",function(){se.composing||se.readFromDOMSoon()});function Ne(je){if(!(!be(je)||Oa(ce,je))){if(ce.somethingSelected())yf({lineWise:!1,text:ce.getSelections()}),je.type=="cut"&&ce.replaceSelection("",null,"cut");else if(ce.options.lineWiseCopyCut){var We=kp(ce);yf({lineWise:!0,text:We.text}),je.type=="cut"&&ce.operation(function(){ce.setSelections(We.ranges,0,wt),ce.replaceSelection("",null,"cut")})}else return;if(je.clipboardData){je.clipboardData.clearData();var Je=Vc.text.join(`
`);if(je.clipboardData.setData("Text",Je),je.clipboardData.getData("Text")==Je){je.preventDefault();return}}var yt=P0(),Ut=yt.firstChild;ce.display.lineSpace.insertBefore(yt,ce.display.lineSpace.firstChild),Ut.value=Vc.text.join(`
`);var Pn=document.activeElement;Ht(Ut),setTimeout(function(){ce.display.lineSpace.removeChild(yt),Pn.focus(),Pn==pe&&de.showPrimarySelection()},50)}}os(pe,"copy",Ne),os(pe,"cut",Ne)},bo.prototype.screenReaderLabelChanged=function(re){re?this.div.setAttribute("aria-label",re):this.div.removeAttribute("aria-label")},bo.prototype.prepareSelection=function(){var re=A0(this.cm,!1);return re.focus=document.activeElement==this.div,re},bo.prototype.showSelection=function(re,se){!re||!this.cm.display.view.length||((re.focus||se)&&this.showPrimarySelection(),this.showMultipleSelections(re))},bo.prototype.getSelection=function(){return this.cm.display.wrapper.ownerDocument.getSelection()},bo.prototype.showPrimarySelection=function(){var re=this.getSelection(),se=this.cm,de=se.doc.sel.primary(),ce=de.from(),pe=de.to();if(se.display.viewTo==se.display.viewFrom||ce.line>=se.display.viewTo||pe.line<se.display.viewFrom){re.removeAllRanges();return}var be=Tm(se,re.anchorNode,re.anchorOffset),Ne=Tm(se,re.focusNode,re.focusOffset);if(!(be&&!be.bad&&Ne&&!Ne.bad&&kn(Eu(be,Ne),ce)==0&&kn(bu(be,Ne),pe)==0)){var je=se.display.view,We=ce.line>=se.display.viewFrom&&AA(se,ce)||{node:je[0].measure.map[2],offset:0},Je=pe.line<se.display.viewTo&&AA(se,pe);if(!Je){var yt=je[je.length-1].measure,Ut=yt.maps?yt.maps[yt.maps.length-1]:yt.map;Je={node:Ut[Ut.length-1],offset:Ut[Ut.length-2]-Ut[Ut.length-3]}}if(!We||!Je){re.removeAllRanges();return}var Pn=re.rangeCount&&re.getRangeAt(0),kt;try{kt=nn(We.node,We.offset,Je.offset,Je.node)}catch(gr){}kt&&(!fe&&se.state.focused?(re.collapse(We.node,We.offset),kt.collapsed||(re.removeAllRanges(),re.addRange(kt))):(re.removeAllRanges(),re.addRange(kt)),Pn&&re.anchorNode==null?re.addRange(Pn):fe&&this.startGracePeriod()),this.rememberSelection()}},bo.prototype.startGracePeriod=function(){var re=this;clearTimeout(this.gracePeriod),this.gracePeriod=setTimeout(function(){re.gracePeriod=!1,re.selectionChanged()&&re.cm.operation(function(){return re.cm.curOp.selectionChanged=!0})},20)},bo.prototype.showMultipleSelections=function(re){Kt(this.cm.display.cursorDiv,re.cursors),Kt(this.cm.display.selectionDiv,re.selection)},bo.prototype.rememberSelection=function(){var re=this.getSelection();this.lastAnchorNode=re.anchorNode,this.lastAnchorOffset=re.anchorOffset,this.lastFocusNode=re.focusNode,this.lastFocusOffset=re.focusOffset},bo.prototype.selectionInEditor=function(){var re=this.getSelection();if(!re.rangeCount)return!1;var se=re.getRangeAt(0).commonAncestorContainer;return vn(this.div,se)},bo.prototype.focus=function(){this.cm.options.readOnly!="nocursor"&&((!this.selectionInEditor()||document.activeElement!=this.div)&&this.showSelection(this.prepareSelection(),!0),this.div.focus())},bo.prototype.blur=function(){this.div.blur()},bo.prototype.getField=function(){return this.div},bo.prototype.supportsTouch=function(){return!0},bo.prototype.receivedFocus=function(){var re=this;this.selectionInEditor()?this.pollSelection():fi(this.cm,function(){return re.cm.curOp.selectionChanged=!0});function se(){re.cm.state.focused&&(re.pollSelection(),re.polling.set(re.cm.options.pollInterval,se))}this.polling.set(this.cm.options.pollInterval,se)},bo.prototype.selectionChanged=function(){var re=this.getSelection();return re.anchorNode!=this.lastAnchorNode||re.anchorOffset!=this.lastAnchorOffset||re.focusNode!=this.lastFocusNode||re.focusOffset!=this.lastFocusOffset},bo.prototype.pollSelection=function(){if(!(this.readDOMTimeout!=null||this.gracePeriod||!this.selectionChanged())){var re=this.getSelection(),se=this.cm;if(xt&&Ct&&this.cm.display.gutterSpecs.length&&dv(re.anchorNode)){this.cm.triggerOnKeyDown({type:"keydown",keyCode:8,preventDefault:Math.abs}),this.blur(),this.focus();return}if(!this.composing){this.rememberSelection();var de=Tm(se,re.anchorNode,re.anchorOffset),ce=Tm(se,re.focusNode,re.focusOffset);de&&ce&&fi(se,function(){xl(se.doc,po(de,ce),wt),(de.bad||ce.bad)&&(se.curOp.selectionChanged=!0)})}}},bo.prototype.pollContent=function(){this.readDOMTimeout!=null&&(clearTimeout(this.readDOMTimeout),this.readDOMTimeout=null);var re=this.cm,se=re.display,de=re.doc.sel.primary(),ce=de.from(),pe=de.to();if(ce.ch==0&&ce.line>re.firstLine()&&(ce=wr(ce.line-1,$r(re.doc,ce.line-1).length)),pe.ch==$r(re.doc,pe.line).text.length&&pe.line<re.lastLine()&&(pe=wr(pe.line+1,0)),ce.line<se.viewFrom||pe.line>se.viewTo-1)return!1;var be,Ne,je;ce.line==se.viewFrom||(be=zd(re,ce.line))==0?(Ne=Ws(se.view[0].line),je=se.view[0].node):(Ne=Ws(se.view[be].line),je=se.view[be-1].node.nextSibling);var We=zd(re,pe.line),Je,yt;if(We==se.view.length-1?(Je=se.viewTo-1,yt=se.lineDiv.lastChild):(Je=Ws(se.view[We+1].line)-1,yt=se.view[We+1].node.previousSibling),!je)return!1;for(var Ut=re.doc.splitLines(S0(re,je,yt,Ne,Je)),Pn=Wa(re.doc,wr(Ne,0),wr(Je,$r(re.doc,Je).text.length));Ut.length>1&&Pn.length>1;)if(Jn(Ut)==Jn(Pn))Ut.pop(),Pn.pop(),Je--;else if(Ut[0]==Pn[0])Ut.shift(),Pn.shift(),Ne++;else break;for(var kt=0,gr=0,Dr=Ut[0],ni=Pn[0],Ei=Math.min(Dr.length,ni.length);kt<Ei&&Dr.charCodeAt(kt)==ni.charCodeAt(kt);)++kt;for(var Ji=Jn(Ut),bi=Jn(Pn),fs=Math.min(Ji.length-(Ut.length==1?kt:0),bi.length-(Pn.length==1?kt:0));gr<fs&&Ji.charCodeAt(Ji.length-gr-1)==bi.charCodeAt(bi.length-gr-1);)++gr;if(Ut.length==1&&Pn.length==1&&Ne==ce.line)for(;kt&&kt>ce.ch&&Ji.charCodeAt(Ji.length-gr-1)==bi.charCodeAt(bi.length-gr-1);)kt--,gr++;Ut[Ut.length-1]=Ji.slice(0,Ji.length-gr).replace(/^\u200b+/,""),Ut[0]=Ut[0].slice(kt).replace(/\u200b+$/,"");var ia=wr(Ne,kt),Ys=wr(Je,Pn.length?Jn(Pn).length-gr:0);if(Ut.length>1||Ut[0]||kn(ia,Ys))return rd(re.doc,Ut,ia,Ys,"+input"),!0},bo.prototype.ensurePolled=function(){this.forceCompositionEnd()},bo.prototype.reset=function(){this.forceCompositionEnd()},bo.prototype.forceCompositionEnd=function(){this.composing&&(clearTimeout(this.readDOMTimeout),this.composing=null,this.updateFromDOM(),this.div.blur(),this.div.focus())},bo.prototype.readFromDOMSoon=function(){var re=this;this.readDOMTimeout==null&&(this.readDOMTimeout=setTimeout(function(){if(re.readDOMTimeout=null,re.composing)if(re.composing.done)re.composing=null;else return;re.updateFromDOM()},80))},bo.prototype.updateFromDOM=function(){var re=this;(this.cm.isReadOnly()||!this.pollContent())&&fi(this.cm,function(){return Lu(re.cm)})},bo.prototype.setUneditable=function(re){re.contentEditable="false"},bo.prototype.onKeyPress=function(re){re.charCode==0||this.composing||(re.preventDefault(),this.cm.isReadOnly()||Wr(this.cm,Qh)(this.cm,String.fromCharCode(re.charCode==null?re.keyCode:re.charCode),0))},bo.prototype.readOnlyChanged=function(re){this.div.contentEditable=String(re!="nocursor")},bo.prototype.onContextMenu=function(){},bo.prototype.resetPosition=function(){},bo.prototype.needsContentAttribute=!0;function AA(re,se){var de=au(re,se.line);if(!de||de.hidden)return null;var ce=$r(re.doc,se.line),pe=Rd(de,ce,se.line),be=Ml(ce,re.doc.direction),Ne="left";if(be){var je=Ra(be,se.ch);Ne=je%2?"right":"left"}var We=bp(pe.map,se.ch,Ne);return We.offset=We.collapse=="right"?We.end:We.start,We}function dv(re){for(var se=re;se;se=se.parentNode)if(/CodeMirror-gutter-wrapper/.test(se.className))return!0;return!1}function Hp(re,se){return se&&(re.bad=!0),re}function S0(re,se,de,ce,pe){var be="",Ne=!1,je=re.doc.lineSeparator(),We=!1;function Je(kt){return function(gr){return gr.id==kt}}function yt(){Ne&&(be+=je,We&&(be+=je),Ne=We=!1)}function Ut(kt){kt&&(yt(),be+=kt)}function Pn(kt){if(kt.nodeType==1){var gr=kt.getAttribute("cm-text");if(gr){Ut(gr);return}var Dr=kt.getAttribute("cm-marker"),ni;if(Dr){var Ei=re.findMarks(wr(ce,0),wr(pe+1,0),Je(+Dr));Ei.length&&(ni=Ei[0].find(0))&&Ut(Wa(re.doc,ni.from,ni.to).join(je));return}if(kt.getAttribute("contenteditable")=="false")return;var Ji=/^(pre|div|p|li|table|br)$/i.test(kt.nodeName);if(!/^br$/i.test(kt.nodeName)&&kt.textContent.length==0)return;Ji&&yt();for(var bi=0;bi<kt.childNodes.length;bi++)Pn(kt.childNodes[bi]);/^(pre|p)$/i.test(kt.nodeName)&&(We=!0),Ji&&(Ne=!0)}else kt.nodeType==3&&Ut(kt.nodeValue.replace(/\u200b/g,"").replace(/\u00a0/g," "))}for(;Pn(se),se!=de;)se=se.nextSibling,We=!1;return be}function Tm(re,se,de){var ce;if(se==re.display.lineDiv){if(ce=re.display.lineDiv.childNodes[de],!ce)return 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Ut=yt(Ne,je,de);if(Ut)return Hp(Ut,pe);for(var Pn=je.nextSibling,kt=Ne?Ne.nodeValue.length-de:0;Pn;Pn=Pn.nextSibling){if(Ut=yt(Pn,Pn.firstChild,0),Ut)return Hp(wr(Ut.line,Ut.ch-kt),pe);kt+=Pn.textContent.length}for(var gr=je.previousSibling,Dr=de;gr;gr=gr.previousSibling){if(Ut=yt(gr,gr.firstChild,-1),Ut)return Hp(wr(Ut.line,Ut.ch+Dr),pe);Dr+=gr.textContent.length}}var wl=function(re){this.cm=re,this.prevInput="",this.pollingFast=!1,this.polling=new Ke,this.hasSelection=!1,this.composing=null};wl.prototype.init=function(re){var se=this,de=this,ce=this.cm;this.createField(re);var pe=this.textarea;re.wrapper.insertBefore(this.wrapper,re.wrapper.firstChild),jt&&(pe.style.width="0px"),os(pe,"input",function(){rt&&ot>=9&&se.hasSelection&&(se.hasSelection=null),de.poll()}),os(pe,"paste",function(Ne){Oa(ce,Ne)||Op(Ne,ce)||(ce.state.pasteIncoming=+new Date,de.fastPoll())});function be(Ne){if(!Oa(ce,Ne)){if(ce.somethingSelected())yf({lineWise:!1,text:ce.getSelections()});else 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Dr=0,ni=function(){ce.selForContextMenu==de.doc.sel&&pe.selectionStart==0&&pe.selectionEnd>0&&se.prevInput=="\u200B"?Wr(de,Sc)(de):Dr++<10?ce.detectingSelectAll=setTimeout(ni,500):(ce.selForContextMenu=null,ce.input.reset())};ce.detectingSelectAll=setTimeout(ni,200)}}if(rt&&ot>=9&&Pn(),In){bn(re);var gr=function(){Ta(window,"mouseup",gr),setTimeout(kt,20)};os(window,"mouseup",gr)}else setTimeout(kt,50)},wl.prototype.readOnlyChanged=function(re){re||this.reset(),this.textarea.disabled=re=="nocursor",this.textarea.readOnly=!!re},wl.prototype.setUneditable=function(){},wl.prototype.needsContentAttribute=!1;function Zh(re,se){if(se=se?Mr(se):{},se.value=re.value,!se.tabindex&&re.tabIndex&&(se.tabindex=re.tabIndex),!se.placeholder&&re.placeholder&&(se.placeholder=re.placeholder),se.autofocus==null){var de=dn();se.autofocus=de==re||re.getAttribute("autofocus")!=null&&de==document.body}function ce(){re.value=je.getValue()}var 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pn=document.createElement("div");pn.className=""+Ce.toolbarButtonStyleClass.name,pn.setAttribute("data-type-name",Te.typeName),pn.innerHTML=Te.icon,pn.addEventListener("click",function(){Ce.markerToolbarButtonClicked(pn,Te)}),Ce.buttons.push(pn),Ce.markerButtons.push(pn)}),this.overflowButton=document.createElement("div"),this.overflowButton.className=this.toolbarButtonStyleClass.name+" "+(this.uiStyleSettings.toolbarButtonStyleColorsClassName?this.uiStyleSettings.toolbarButtonStyleColorsClassName:this.toolbarButtonStyleColorsClass.name),this.overflowButton.innerHTML='<svg viewBox="0 0 24 24"><path d="M12 16a2 2 0 012 2 2 2 0 01-2 2 2 2 0 01-2-2 2 2 0 012-2m0-6a2 2 0 012 2 2 2 0 01-2 2 2 2 0 01-2-2 2 2 0 012-2m0-6a2 2 0 012 2 2 2 0 01-2 2 2 2 0 01-2-2 2 2 0 012-2z"/></svg>',this.overflowButton.addEventListener("click",this.overflowButtonClicked),this.markerButtonBlock.appendChild(this.overflowButton));var 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Ce=0;Ce<this.markerButtons.length;Ce++)Ce<Se||Ce===Se&&this.markerButtons.length-1===Se?this.markerButtonBlock.appendChild(this.markerButtons[Ce]):(Ce===Se&&this.markerButtonBlock.appendChild(this.overflowButton),this.markerButtonOverflowBlock.appendChild(this.markerButtons[Ce]))}},Ze.prototype.overflowButtonClicked=function(){this.markerButtonOverflowBlock.style.display!=="none"?(this.markerButtonOverflowBlock.className=this.markerButtonOverflowBlock.className.replace(this.styles.fadeInAnimationClassName,""),this.markerButtonOverflowBlock.style.display="none"):(this.markerButtonOverflowBlock.className+=" 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"+(Se.uiStyleSettings.toolbarButtonStyleColorsClassName?Se.uiStyleSettings.toolbarButtonStyleColorsClassName:Se.toolbarButtonStyleColorsClass.name)})},Ze.prototype.addActionButton=function(Se,Ce,Ve){var _e=this,Te=document.createElement("div");switch(Te.className=""+this.toolbarButtonStyleClass.name,Te.innerHTML=Ce,Te.setAttribute("data-action",Ve),Te.addEventListener("click",function(){_e.actionToolbarButtonClicked(Te,Ve)}),Ve){case"select":Te.style.fill=this.uiStyleSettings.selectButtonColor;break;case"delete":case"clear":Te.style.fill=this.uiStyleSettings.deleteButtonColor;break;case"undo":case"redo":Te.style.fill=this.uiStyleSettings.selectButtonColor;break;case"render":Te.style.fill=this.uiStyleSettings.okButtonColor;break;case"close":Te.style.fill=this.uiStyleSettings.closeButtonColor}Se.appendChild(Te),this.buttons.push(Te)},Ze.prototype.addStyles=function(){this.toolbarStyleClass=this.styles.addClass(new Rt("toolbar",`
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      flex-shrink: 0;
      display: flex;
      flex-direction: row;
      justify-content: space-between;      
      height: `+this.uiStyleSettings.toolbarHeight+`px;
      box-sizing: content-box;
      `+(this.displayMode==="inline"?"border-top-left-radius: "+Math.round(this.uiStyleSettings.toolbarHeight/10)+"px;":"")+`
      `+(this.displayMode==="inline"?"border-top-right-radius: "+Math.round(this.uiStyleSettings.toolbarHeight/10)+"px;":"")+`
      overflow: hidden;
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      background-color: `+this.uiStyleSettings.toolbarBackgroundColor+`;
      box-shadow: 0px 3px rgba(33, 33, 33, 0.1);
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        display: inline-block;
        box-sizing: content-box;
    `)),this.toolbarOverflowBlockStyleClass=this.styles.addClass(new Rt("toolbar-overflow-block",`
        position: absolute;
        top: `+this.uiStyleSettings.toolbarHeight+`px;
        max-width: `+2*this.uiStyleSettings.toolbarHeight+`px;
        z-index: 10;
        box-sizing: content-box;
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        background-color: `+this.uiStyleSettings.toolbarBackgroundColor+`;
      `));var Se=this.uiStyleSettings.toolbarHeight/4;this.toolbarButtonStyleClass=this.styles.addClass(new Rt("toolbar_button",`
      display: inline-block;
      width: `+(this.uiStyleSettings.toolbarHeight-2*Se)+`px;
      height: `+(this.uiStyleSettings.toolbarHeight-2*Se)+`px;
      padding: `+Se+`px;
      box-sizing: content-box;
    `)),this.toolbarButtonStyleColorsClass=this.styles.addClass(new Rt("toolbar_button_colors",`
      fill: `+this.uiStyleSettings.toolbarColor+`;
    `)),this.toolbarActiveButtonStyleColorsClass=this.styles.addClass(new Rt("toolbar_active_button",`
      fill: `+this.uiStyleSettings.toolbarColor+`;
      background-color: `+this.uiStyleSettings.toolbarBackgroundHoverColor+`
    `)),this.styles.addRule(new Et("."+this.toolbarButtonStyleClass.name+" svg",`
      height: `+this.uiStyleSettings.toolbarHeight/2+`px;
    `)),this.styles.addRule(new Et("."+this.toolbarButtonStyleColorsClass.name+":hover",`
        background-color: `+this.uiStyleSettings.toolbarBackgroundHoverColor+`
    `))},Ze.prototype.markerToolbarButtonClicked=function(Se,Ce){this.setActiveButton(Se),this.buttonClickListeners&&this.buttonClickListeners.length>0&&this.buttonClickListeners.forEach(function(Ve){return Ve("marker",Ce)}),this.markerButtonOverflowBlock.style.display="none"},Ze.prototype.actionToolbarButtonClicked=function(Se,Ce){this.buttonClickListeners&&this.buttonClickListeners.length>0&&this.buttonClickListeners.forEach(function(Ve){return Ve("action",Ce)}),this.markerButtonOverflowBlock.style.display="none",this.setActiveButton(this.buttons[0])},Ze.prototype.setActiveButton=function(Se){this.resetButtonStyles(),Se.className=Se.className.replace(this.uiStyleSettings.toolbarButtonStyleColorsClassName?this.uiStyleSettings.toolbarButtonStyleColorsClassName:this.toolbarButtonStyleColorsClass.name,"").trim(),Se.className+=" "+(this.uiStyleSettings.toolbarActiveButtonStyleColorsClassName?this.uiStyleSettings.toolbarActiveButtonStyleColorsClassName:this.toolbarActiveButtonStyleColorsClass.name)},Ze.prototype.setActiveMarkerButton=function(Se){var Ce=this.markerButtons.find(function(Ve){return Ve.getAttribute("data-type-name")===Se});Ce&&this.setActiveButton(Ce)},Ze.prototype.setCurrentMarker=function(Se){var Ce=this;this.currentMarker=Se,this.buttons.filter(function(Ve){return/delete|notes/.test(Ve.getAttribute("data-action"))}).forEach(function(Ve){Ce.currentMarker===void 0?(Ve.style.fillOpacity="0.4",Ve.style.pointerEvents="none"):(Ve.style.fillOpacity="1",Ve.style.pointerEvents="all")})},Ze}(),jt=function(){function Ze(Se,Ce,Ve,_e){this.panels=[],this.panelButtons=[],this.markerjsContainer=Se,this.displayMode=Ce,this.uiStyleSettings=Ve,this.styles=_e,this.panelButtonClick=this.panelButtonClick.bind(this),this.addStyles()}return Ze.prototype.addStyles=function(){var Se;this.toolboxStyleClass=this.styles.addClass(new Rt("toolbox",`
      width: 100%;
      flex-shrink: 0;
      display: flex;
      flex-direction: column;
      font-family: sans-serif;
      `+(this.displayMode==="popup"?"height:"+2.5*this.uiStyleSettings.toolbarHeight+"px;":"")+`
      box-sizing: content-box;
      `+(this.displayMode==="popup"?"background-color: "+this.uiStyleSettings.canvasBackgroundColor+";":"")+`
      `+(this.displayMode==="inline"?"border-bottom-left-radius: "+Math.round(this.uiStyleSettings.toolbarHeight/10)+"px;":"")+`
      `+(this.displayMode==="inline"?"border-bottom-right-radius: "+Math.round(this.uiStyleSettings.toolbarHeight/10)+"px;":"")+`
      overflow: hidden;
    `)),this.toolboxStyleColorsClass=this.styles.addClass(new Rt("toolbox_colors",`
      color: `+this.uiStyleSettings.toolboxColor+`;
    `));var Ce=this.uiStyleSettings.toolbarHeight/4;this.toolboxButtonRowStyleClass=this.styles.addClass(new Rt("toolbox-button-row",`
      display: flex;
      cursor: default;
      box-sizing: content-box;
    `)),this.toolboxButtonRowStyleColorsClass=this.styles.addClass(new Rt("toolbox-button-row_colors",`
      background-color: `+this.uiStyleSettings.toolbarBackgroundColor+`;
    `)),this.toolboxPanelRowStyleClass=this.styles.addClass(new Rt("toolbox-panel-row",`
      display: flex;
      `+(this.displayMode==="inline"?"position: absolute;":"")+`
      `+(this.displayMode==="inline"?"bottom: "+this.uiStyleSettings.toolbarHeight+"px;":"")+`
      cursor: default;
      height: `+1.5*this.uiStyleSettings.toolbarHeight+`px;
      `+(this.displayMode==="inline"?"width: 100%;":"")+`
      box-sizing: content-box;
    `)),this.toolboxPanelRowStyleColorsClass=this.styles.addClass(new Rt("toolbox-panel-row_colors",`
      background-color: `+((Se=this.uiStyleSettings.toolboxBackgroundColor)!==null&&Se!==void 0?Se:this.uiStyleSettings.toolbarBackgroundHoverColor)+`;
    `)),this.toolboxButtonStyleClass=this.styles.addClass(new Rt("toolbox_button",`
      display: inline-block;
      width: `+(this.uiStyleSettings.toolbarHeight-2*Ce)+`px;
      height: `+(this.uiStyleSettings.toolbarHeight-2*Ce)+`px;
      padding: `+Ce+`px;
      box-sizing: content-box;
    `)),this.toolboxButtonStyleColorsClass=this.styles.addClass(new Rt("toolbox-button_colors",`
      fill: `+this.uiStyleSettings.toolbarColor+`;
    `)),this.toolboxActiveButtonStyleColorsClass=this.styles.addClass(new Rt("toolbox-active-button_colors",`
      background-color: `+this.uiStyleSettings.toolbarBackgroundHoverColor+`;
      fill: `+this.uiStyleSettings.toolbarColor+`;
    `)),this.styles.addRule(new Et("."+this.toolboxButtonStyleColorsClass.name+":hover",`
        background-color: `+this.uiStyleSettings.toolbarBackgroundHoverColor+`
    `)),this.styles.addRule(new Et("."+this.toolboxButtonStyleClass.name+" svg",`
      height: `+this.uiStyleSettings.toolbarHeight/2+`px;
    `))},Ze.prototype.show=function(Se){var Ce;this.uiContainer=document.createElement("div"),this.uiContainer.style.visibility=Se,this.uiContainer.className=this.toolboxStyleClass.name+" "+((Ce=this.uiStyleSettings.toolboxStyleColorsClassName)!==null&&Ce!==void 0?Ce:this.toolboxStyleColorsClass.name),this.markerjsContainer.appendChild(this.uiContainer)},Ze.prototype.setPanelButtons=function(Se){var Ce,Ve,_e=this;this.panels=Se,this.uiContainer!==void 0&&(this.uiContainer.innerHTML="",this.panelRow=document.createElement("div"),this.panelRow.className=this.toolboxPanelRowStyleClass.name+" "+((Ce=this.uiStyleSettings.toolboxPanelRowStyleColorsClassName)!==null&&Ce!==void 0?Ce:this.toolboxPanelRowStyleColorsClass.name),this.uiContainer.appendChild(this.panelRow),this.buttonRow=document.createElement("div"),this.buttonRow.className=this.toolboxButtonRowStyleClass.name+" "+((Ve=this.uiStyleSettings.toolboxButtonRowStyleColorsClassName)!==null&&Ve!==void 0?Ve:this.toolboxButtonRowStyleColorsClass.name)+" ",this.uiContainer.appendChild(this.buttonRow),this.panelButtons.splice(0),this.panels.forEach(function(Te){var pn;Te.uiStyleSettings=_e.uiStyleSettings;var Yn=document.createElement("div");Yn.className=_e.toolboxButtonStyleClass.name+" "+((pn=_e.uiStyleSettings.toolboxButtonStyleColorsClassName)!==null&&pn!==void 0?pn:_e.toolboxButtonStyleColorsClass.name),Yn.innerHTML=Te.icon,Yn.title=Te.title,Yn.addEventListener("click",function(){_e.panelButtonClick(Te)}),_e.panelButtons.push(Yn),_e.buttonRow.appendChild(Yn)}),this.displayMode==="inline"?this.panelRow.style.display="none":this.panelRow.style.visibility="hidden")},Ze.prototype.panelButtonClick=function(Se){var Ce=this,Ve=-1;if(Se!==this.activePanel){Ve=this.panels.indexOf(Se),this.panelRow.innerHTML="";var _e=Se.getUi();_e.style.margin=this.uiStyleSettings.toolbarHeight/4+"px",this.panelRow.appendChild(_e),this.panelRow.style.display="flex",this.panelRow.style.visibility="visible",this.panelRow.className=this.panelRow.className.replace(this.styles.fadeOutAnimationClassName,""),this.panelRow.className+=" "+this.styles.fadeInAnimationClassName,this.activePanel=Se}else this.activePanel=void 0,this.panelRow.className=this.panelRow.className.replace(this.styles.fadeInAnimationClassName,""),this.panelRow.className+=" "+this.styles.fadeOutAnimationClassName,setTimeout(function(){Ce.displayMode==="inline"?Ce.panelRow.style.display="none":Ce.panelRow.style.visibility="hidden"},200);this.panelButtons.forEach(function(Te,pn){var Yn,Tn;Te.className=Ce.toolboxButtonStyleClass.name+" "+(pn===Ve?""+((Yn=Ce.uiStyleSettings.toolboxActiveButtonStyleColorsClassName)!==null&&Yn!==void 0?Yn:Ce.toolboxActiveButtonStyleColorsClass.name):""+((Tn=Ce.uiStyleSettings.toolboxButtonStyleColorsClassName)!==null&&Tn!==void 0?Tn:Ce.toolboxButtonStyleColorsClass.name))})},Ze}(),xt=function(Ze,Se){this.title=Ze,this.icon=Se},Bt=function(Ze){function Se(Ce,Ve,_e,Te){var pn=Ze.call(this,Ce,Te||'<svg viewBox="0 0 24 24"><path d="M17.5 12a1.5 1.5 0 01-1.5-1.5A1.5 1.5 0 0117.5 9a1.5 1.5 0 011.5 1.5 1.5 1.5 0 01-1.5 1.5m-3-4A1.5 1.5 0 0113 6.5 1.5 1.5 0 0114.5 5 1.5 1.5 0 0116 6.5 1.5 1.5 0 0114.5 8m-5 0A1.5 1.5 0 018 6.5 1.5 1.5 0 019.5 5 1.5 1.5 0 0111 6.5 1.5 1.5 0 019.5 8m-3 4A1.5 1.5 0 015 10.5 1.5 1.5 0 016.5 9 1.5 1.5 0 018 10.5 1.5 1.5 0 016.5 12M12 3a9 9 0 00-9 9 9 9 0 009 9 1.5 1.5 0 001.5-1.5c0-.39-.15-.74-.39-1-.23-.27-.38-.62-.38-1a1.5 1.5 0 011.5-1.5H16a5 5 0 005-5c0-4.42-4.03-8-9-8z"/></svg>')||this;return pn.colors=[],pn.addTransparent=!1,pn.colorBoxes=[],pn.colors=Ve,pn.currentColor=_e,pn.setCurrentColor=pn.setCurrentColor.bind(pn),pn.getColorBox=pn.getColorBox.bind(pn),pn}return ct(Se,Ze),Se.prototype.getUi=function(){var Ce=this,Ve=document.createElement("div");return Ve.style.overflow="hidden",Ve.style.whiteSpace="nowrap",this.colors.forEach(function(_e){var Te=Ce.getColorBox(_e);Ve.appendChild(Te),Ce.colorBoxes.push(Te)}),Ve},Se.prototype.getColorBox=function(Ce){var Ve=this,_e=this.uiStyleSettings.toolbarHeight/4,Te=this.uiStyleSettings.toolbarHeight-_e,pn=document.createElement("div");pn.style.display="inline-block",pn.style.boxSizing="content-box",pn.style.width=Te-2+"px",pn.style.height=Te-2+"px",pn.style.padding="1px",pn.style.marginRight="2px",pn.style.marginBottom="2px",pn.style.borderWidth="2px",pn.style.borderStyle="solid",pn.style.borderRadius=(Te+2)/2+"px",pn.style.borderColor=Ce===this.currentColor?this.uiStyleSettings.toolboxAccentColor:"transparent",pn.addEventListener("click",function(){Ve.setCurrentColor(Ce,pn)});var Yn=document.createElement("div");return Yn.style.display="inline-block",Yn.style.width=Te-2+"px",Yn.style.height=Te-2+"px",Yn.style.backgroundColor=Ce,Yn.style.borderRadius=Te/2+"px",Ce==="transparent"&&(Yn.style.fill=this.uiStyleSettings.toolboxAccentColor,Yn.innerHTML=`<svg viewBox="0 0 24 24">
        <path d="M2,5.27L3.28,4L20,20.72L18.73,22L15.65,18.92C14.5,19.3 13.28,19.5 12,19.5C7,19.5 2.73,16.39 1,12C1.69,10.24 2.79,8.69 4.19,7.46L2,5.27M12,9A3,3 0 0,1 15,12C15,12.35 14.94,12.69 14.83,13L11,9.17C11.31,9.06 11.65,9 12,9M12,4.5C17,4.5 21.27,7.61 23,12C22.18,14.08 20.79,15.88 19,17.19L17.58,15.76C18.94,14.82 20.06,13.54 20.82,12C19.17,8.64 15.76,6.5 12,6.5C10.91,6.5 9.84,6.68 8.84,7L7.3,5.47C8.74,4.85 10.33,4.5 12,4.5M3.18,12C4.83,15.36 8.24,17.5 12,17.5C12.69,17.5 13.37,17.43 14,17.29L11.72,15C10.29,14.85 9.15,13.71 9,12.28L5.6,8.87C4.61,9.72 3.78,10.78 3.18,12Z" />
      </svg>`),pn.appendChild(Yn),pn},Se.prototype.setCurrentColor=function(Ce,Ve){var _e=this;this.currentColor=Ce,this.colorBoxes.forEach(function(Te){Te.style.borderColor=Te===Ve?_e.uiStyleSettings.toolboxAccentColor:"transparent"}),this.onColorChanged&&this.onColorChanged(Ce)},Se}(xt),Nt=function(){function Ze(Se,Ce,Ve){this._state="new",this._isSelected=!1,this._container=Se,this._overlayContainer=Ce,this.globalSettings=Ve,this.stateChanged=this.stateChanged.bind(this),this.colorChanged=this.colorChanged.bind(this),this.fillColorChanged=this.fillColorChanged.bind(this)}return Object.defineProperty(Ze.prototype,"typeName",{get:function(){return Object.getPrototypeOf(this).constructor.typeName},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"container",{get:function(){return this._container},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"overlayContainer",{get:function(){return this._overlayContainer},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"state",{get:function(){return this._state},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"toolboxPanels",{get:function(){return[]},enumerable:!1,configurable:!0}),Ze.prototype.ownsTarget=function(Se){return!1},Object.defineProperty(Ze.prototype,"isSelected",{get:function(){return this._isSelected},enumerable:!1,configurable:!0}),Ze.prototype.select=function(){this.container.style.cursor="move",this._isSelected=!0,this.manipulationStartState=this.getState()},Ze.prototype.deselect=function(){this.container.style.cursor="default",this._isSelected=!1,this.stateChanged()},Ze.prototype.pointerDown=function(Se,Ce){},Ze.prototype.dblClick=function(Se,Ce){},Ze.prototype.manipulate=function(Se){},Ze.prototype.pointerUp=function(Se){this.stateChanged()},Ze.prototype.dispose=function(){},Ze.prototype.addMarkerVisualToContainer=function(Se){this.container.childNodes.length>0?this.container.insertBefore(Se,this.container.childNodes[0]):this.container.appendChild(Se)},Ze.prototype.getState=function(){return{typeName:Ze.typeName,state:this.state,notes:this.notes}},Ze.prototype.restoreState=function(Se){this._state=Se.state,this.notes=Se.notes},Ze.prototype.scale=function(Se,Ce){},Ze.prototype.colorChanged=function(Se){this.onColorChanged&&this.onColorChanged(Se),this.stateChanged()},Ze.prototype.fillColorChanged=function(Se){this.onFillColorChanged&&this.onFillColorChanged(Se),this.stateChanged()},Ze.prototype.stateChanged=function(){if(this.onStateChanged&&this.state!=="creating"&&this.state!=="new"){var Se=this.getState();this.manipulationStartState!==void 0&&(this.manipulationStartState.state="select"),Se.state="select",JSON.stringify(this.manipulationStartState)!=JSON.stringify(Se)&&this.onStateChanged(this)}},Ze.typeName="MarkerBase",Ze}(),Lt=function(){function Ze(){this.findGripByVisual=this.findGripByVisual.bind(this)}return Ze.prototype.findGripByVisual=function(Se){return this.topLeft.ownsTarget(Se)?this.topLeft:this.topCenter.ownsTarget(Se)?this.topCenter:this.topRight.ownsTarget(Se)?this.topRight:this.centerLeft.ownsTarget(Se)?this.centerLeft:this.centerRight.ownsTarget(Se)?this.centerRight:this.bottomLeft.ownsTarget(Se)?this.bottomLeft:this.bottomCenter.ownsTarget(Se)?this.bottomCenter:this.bottomRight.ownsTarget(Se)?this.bottomRight:void 0},Ze}(),Qt=function(){function Ze(){this.GRIP_SIZE=10,this.visual=ot.createGroup(),this.visual.appendChild(ot.createCircle(1.5*this.GRIP_SIZE,[["fill","transparent"]])),this.visual.appendChild(ot.createCircle(this.GRIP_SIZE,[["fill","#cccccc"],["fill-opacity","0.7"],["stroke","#333333"],["stroke-width","2"],["stroke-opacity","0.7"]]))}return Ze.prototype.ownsTarget=function(Se){return Se===this.visual||Se===this.visual.childNodes[0]||Se===this.visual.childNodes[1]},Ze}(),yn=function(){function Ze(){}return Ze.toITransformMatrix=function(Se){return{a:Se.a,b:Se.b,c:Se.c,d:Se.d,e:Se.e,f:Se.f}},Ze.toSVGMatrix=function(Se,Ce){return Se.a=Ce.a,Se.b=Ce.b,Se.c=Ce.c,Se.d=Ce.d,Se.e=Ce.e,Se.f=Ce.f,Se},Ze}(),Qe=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.left=0,Te.top=0,Te.width=0,Te.height=0,Te.defaultSize={x:50,y:20},Te.offsetX=0,Te.offsetY=0,Te.rotationAngle=0,Te.CB_DISTANCE=10,Te._suppressMarkerCreateEvent=!1,Te.container.transform.baseVal.appendItem(ot.createTransform()),Te.setupControlBox(),Te}return ct(Se,Ze),Object.defineProperty(Se.prototype,"centerX",{get:function(){return this.left+this.width/2},enumerable:!1,configurable:!0}),Object.defineProperty(Se.prototype,"centerY",{get:function(){return this.top+this.height/2},enumerable:!1,configurable:!0}),Object.defineProperty(Se.prototype,"visual",{get:function(){return this._visual},set:function(Ce){this._visual=Ce;var Ve=ot.createTransform();this._visual.transform.baseVal.appendItem(Ve)},enumerable:!1,configurable:!0}),Se.prototype.ownsTarget=function(Ce){return!!Ze.prototype.ownsTarget.call(this,Ce)||!!(this.controlGrips.findGripByVisual(Ce)!==void 0||this.rotatorGrip!==void 0&&this.rotatorGrip.ownsTarget(Ce))},Se.prototype.pointerDown=function(Ce,Ve){Ze.prototype.pointerDown.call(this,Ce,Ve),this.state==="new"&&(this.left=Ce.x,this.top=Ce.y),this.manipulationStartLeft=this.left,this.manipulationStartTop=this.top,this.manipulationStartWidth=this.width,this.manipulationStartHeight=this.height;var _e=this.unrotatePoint(Ce);if(this.manipulationStartX=_e.x,this.manipulationStartY=_e.y,this.offsetX=_e.x-this.left,this.offsetY=_e.y-this.top,this.state!=="new")if(this.select(),this.activeGrip=this.controlGrips.findGripByVisual(Ve),this.activeGrip!==void 0)this._state="resize";else if(this.rotatorGrip!==void 0&&this.rotatorGrip.ownsTarget(Ve)){this.activeGrip=this.rotatorGrip;var Te=this.rotatePoint({x:this.centerX,y:this.centerY});this.left=Te.x-this.width/2,this.top=Te.y-this.height/2,this.moveVisual({x:this.left,y:this.top});var pn=this.container.transform.baseVal.getItem(0);pn.setRotate(this.rotationAngle,this.centerX,this.centerY),this.container.transform.baseVal.replaceItem(pn,0),this.adjustControlBox(),this._state="rotate"}else this._state="move"},Se.prototype.pointerUp=function(Ce){var Ve=this.state;Ze.prototype.pointerUp.call(this,Ce),this.state==="creating"&&this.width<10&&this.height<10?(this.width=this.defaultSize.x,this.height=this.defaultSize.y):this.manipulate(Ce),this._state="select",Ve==="creating"&&this.onMarkerCreated&&this._suppressMarkerCreateEvent===!1&&this.onMarkerCreated(this)},Se.prototype.moveVisual=function(Ce){this.visual.style.transform="translate("+Ce.x+"px, "+Ce.y+"px)"},Se.prototype.manipulate=function(Ce){var Ve=this.unrotatePoint(Ce);this.state==="creating"?this.resize(Ce):this.state==="move"?(this.left=this.manipulationStartLeft+(Ve.x-this.manipulationStartLeft)-this.offsetX,this.top=this.manipulationStartTop+(Ve.y-this.manipulationStartTop)-this.offsetY,this.moveVisual({x:this.left,y:this.top}),this.adjustControlBox()):this.state==="resize"?this.resize(Ve):this.state==="rotate"&&this.rotate(Ce)},Se.prototype.resize=function(Ce){var Ve=this.manipulationStartLeft,_e=this.manipulationStartWidth,Te=this.manipulationStartTop,pn=this.manipulationStartHeight;switch(this.activeGrip){case this.controlGrips.bottomLeft:case this.controlGrips.centerLeft:case this.controlGrips.topLeft:Ve=this.manipulationStartLeft+Ce.x-this.manipulationStartX,_e=this.manipulationStartWidth+this.manipulationStartLeft-Ve;break;case this.controlGrips.bottomRight:case this.controlGrips.centerRight:case this.controlGrips.topRight:case void 0:_e=this.manipulationStartWidth+Ce.x-this.manipulationStartX}switch(this.activeGrip){case this.controlGrips.topCenter:case this.controlGrips.topLeft:case this.controlGrips.topRight:Te=this.manipulationStartTop+Ce.y-this.manipulationStartY,pn=this.manipulationStartHeight+this.manipulationStartTop-Te;break;case this.controlGrips.bottomCenter:case this.controlGrips.bottomLeft:case this.controlGrips.bottomRight:case void 0:pn=this.manipulationStartHeight+Ce.y-this.manipulationStartY}_e>=0?(this.left=Ve,this.width=_e):(this.left=Ve+_e,this.width=-_e),pn>=0?(this.top=Te,this.height=pn):(this.top=Te+pn,this.height=-pn),this.setSize()},Se.prototype.setSize=function(){this.moveVisual({x:this.left,y:this.top}),this.adjustControlBox()},Se.prototype.rotate=function(Ce){if(Math.abs(Ce.x-this.centerX)>.1){var Ve=Math.sign(Ce.x-this.centerX);this.rotationAngle=180*Math.atan((Ce.y-this.centerY)/(Ce.x-this.centerX))/Math.PI+90*Ve,this.applyRotation()}},Se.prototype.applyRotation=function(){var Ce=this.container.transform.baseVal.getItem(0);Ce.setRotate(this.rotationAngle,this.centerX,this.centerY),this.container.transform.baseVal.replaceItem(Ce,0)},Se.prototype.rotatePoint=function(Ce){if(this.rotationAngle===0)return Ce;var Ve=this.container.getCTM(),_e=ot.createPoint(Ce.x,Ce.y);return{x:(_e=_e.matrixTransform(Ve)).x,y:_e.y}},Se.prototype.unrotatePoint=function(Ce){if(this.rotationAngle===0)return Ce;var Ve=this.container.getCTM();Ve=Ve.inverse();var _e=ot.createPoint(Ce.x,Ce.y);return{x:(_e=_e.matrixTransform(Ve)).x,y:_e.y}},Se.prototype.select=function(){Ze.prototype.select.call(this),this.adjustControlBox(),this.controlBox.style.display=""},Se.prototype.deselect=function(){Ze.prototype.deselect.call(this),this.controlBox.style.display="none"},Se.prototype.setupControlBox=function(){this.controlBox=ot.createGroup();var Ce=ot.createTransform();Ce.setTranslate(-this.CB_DISTANCE/2,-this.CB_DISTANCE/2),this.controlBox.transform.baseVal.appendItem(Ce),this.container.appendChild(this.controlBox),this.controlRect=ot.createRect(this.width+this.CB_DISTANCE,this.height+this.CB_DISTANCE,[["stroke","black"],["stroke-width","1"],["stroke-opacity","0.5"],["stroke-dasharray","3, 2"],["fill","transparent"],["pointer-events","none"]]),this.controlBox.appendChild(this.controlRect),this.globalSettings.disableRotation!==!0&&(this.rotatorGripLine=ot.createLine((this.width+2*this.CB_DISTANCE)/2,this.top-this.CB_DISTANCE,(this.width+2*this.CB_DISTANCE)/2,this.top-3*this.CB_DISTANCE,[["stroke","black"],["stroke-width","1"],["stroke-opacity","0.5"],["stroke-dasharray","3, 2"]]),this.controlBox.appendChild(this.rotatorGripLine)),this.controlGrips=new Lt,this.addControlGrips(),this.controlBox.style.display="none"},Se.prototype.adjustControlBox=function(){var Ce=this.controlBox.transform.baseVal.getItem(0);Ce.setTranslate(this.left-this.CB_DISTANCE/2,this.top-this.CB_DISTANCE/2),this.controlBox.transform.baseVal.replaceItem(Ce,0),this.controlRect.setAttribute("width",(this.width+this.CB_DISTANCE).toString()),this.controlRect.setAttribute("height",(this.height+this.CB_DISTANCE).toString()),this.rotatorGripLine!==void 0&&(this.rotatorGripLine.setAttribute("x1",((this.width+this.CB_DISTANCE)/2).toString()),this.rotatorGripLine.setAttribute("y1",(-this.CB_DISTANCE/2).toString()),this.rotatorGripLine.setAttribute("x2",((this.width+this.CB_DISTANCE)/2).toString()),this.rotatorGripLine.setAttribute("y2",(3*-this.CB_DISTANCE).toString())),this.positionGrips()},Se.prototype.addControlGrips=function(){this.controlGrips.topLeft=this.createGrip(),this.controlGrips.topCenter=this.createGrip(),this.controlGrips.topRight=this.createGrip(),this.controlGrips.centerLeft=this.createGrip(),this.controlGrips.centerRight=this.createGrip(),this.controlGrips.bottomLeft=this.createGrip(),this.controlGrips.bottomCenter=this.createGrip(),this.controlGrips.bottomRight=this.createGrip(),this.globalSettings.disableRotation!==!0&&(this.rotatorGrip=this.createGrip()),this.positionGrips()},Se.prototype.createGrip=function(){var Ce=new Qt;return Ce.visual.transform.baseVal.appendItem(ot.createTransform()),this.controlBox.appendChild(Ce.visual),Ce},Se.prototype.positionGrips=function(){var Ce=this.controlGrips.topLeft.GRIP_SIZE,Ve=-Ce/2,_e=Ve,Te=(this.width+this.CB_DISTANCE)/2-Ce/2,pn=(this.height+this.CB_DISTANCE)/2-Ce/2,Yn=this.height+this.CB_DISTANCE-Ce/2,Tn=this.width+this.CB_DISTANCE-Ce/2;this.positionGrip(this.controlGrips.topLeft.visual,Ve,_e),this.positionGrip(this.controlGrips.topCenter.visual,Te,_e),this.positionGrip(this.controlGrips.topRight.visual,Tn,_e),this.positionGrip(this.controlGrips.centerLeft.visual,Ve,pn),this.positionGrip(this.controlGrips.centerRight.visual,Tn,pn),this.positionGrip(this.controlGrips.bottomLeft.visual,Ve,Yn),this.positionGrip(this.controlGrips.bottomCenter.visual,Te,Yn),this.positionGrip(this.controlGrips.bottomRight.visual,Tn,Yn),this.rotatorGrip!==void 0&&this.positionGrip(this.rotatorGrip.visual,Te,_e-3*this.CB_DISTANCE)},Se.prototype.positionGrip=function(Ce,Ve,_e){var Te=Ce.transform.baseVal.getItem(0);Te.setTranslate(Ve,_e),Ce.transform.baseVal.replaceItem(Te,0)},Se.prototype.hideControlBox=function(){this.controlBox.style.display="none"},Se.prototype.showControlBox=function(){this.controlBox.style.display=""},Se.prototype.getState=function(){return Object.assign({left:this.left,top:this.top,width:this.width,height:this.height,rotationAngle:this.rotationAngle,visualTransformMatrix:yn.toITransformMatrix(this.visual.transform.baseVal.getItem(0).matrix),containerTransformMatrix:yn.toITransformMatrix(this.container.transform.baseVal.getItem(0).matrix)},Ze.prototype.getState.call(this))},Se.prototype.restoreState=function(Ce){Ze.prototype.restoreState.call(this,Ce);var Ve=Ce;this.left=Ve.left,this.top=Ve.top,this.width=Ve.width,this.height=Ve.height,this.rotationAngle=Ve.rotationAngle,this.visual.transform.baseVal.getItem(0).setMatrix(yn.toSVGMatrix(this.visual.transform.baseVal.getItem(0).matrix,Ve.visualTransformMatrix)),this.container.transform.baseVal.getItem(0).setMatrix(yn.toSVGMatrix(this.container.transform.baseVal.getItem(0).matrix,Ve.containerTransformMatrix))},Se.prototype.scale=function(Ce,Ve){Ze.prototype.scale.call(this,Ce,Ve);var _e=this.rotatePoint({x:this.left,y:this.top}),Te=this.unrotatePoint({x:_e.x*Ce,y:_e.y*Ve});this.left=Te.x,this.top=Te.y,this.width=this.width*Ce,this.height=this.height*Ve,this.adjustControlBox()},Se}(Nt),In=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.fillColor="transparent",Te.strokeColor="transparent",Te.strokeWidth=0,Te.strokeDasharray="",Te.opacity=1,Te.setStrokeColor=Te.setStrokeColor.bind(Te),Te.setFillColor=Te.setFillColor.bind(Te),Te.setStrokeWidth=Te.setStrokeWidth.bind(Te),Te.setStrokeDasharray=Te.setStrokeDasharray.bind(Te),Te.createVisual=Te.createVisual.bind(Te),Te}return ct(Se,Ze),Se.prototype.ownsTarget=function(Ce){return!(!Ze.prototype.ownsTarget.call(this,Ce)&&Ce!==this.visual)},Se.prototype.createVisual=function(){this.visual=ot.createRect(1,1,[["fill",this.fillColor],["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()],["stroke-dasharray",this.strokeDasharray],["opacity",this.opacity.toString()]]),this.addMarkerVisualToContainer(this.visual)},Se.prototype.pointerDown=function(Ce,Ve){Ze.prototype.pointerDown.call(this,Ce,Ve),this.state==="new"&&(this.createVisual(),this.moveVisual(Ce),this._state="creating")},Se.prototype.manipulate=function(Ce){Ze.prototype.manipulate.call(this,Ce)},Se.prototype.resize=function(Ce){Ze.prototype.resize.call(this,Ce),this.setSize()},Se.prototype.setSize=function(){Ze.prototype.setSize.call(this),ot.setAttributes(this.visual,[["width",this.width.toString()],["height",this.height.toString()]])},Se.prototype.pointerUp=function(Ce){Ze.prototype.pointerUp.call(this,Ce),this.setSize()},Se.prototype.setStrokeColor=function(Ce){this.strokeColor=Ce,this.visual&&ot.setAttributes(this.visual,[["stroke",this.strokeColor]]),this.colorChanged(Ce),this.stateChanged()},Se.prototype.setFillColor=function(Ce){this.fillColor=Ce,this.visual&&ot.setAttributes(this.visual,[["fill",this.fillColor]]),this.stateChanged()},Se.prototype.setStrokeWidth=function(Ce){this.strokeWidth=Ce,this.visual&&ot.setAttributes(this.visual,[["stroke-width",this.strokeWidth.toString()]]),this.stateChanged()},Se.prototype.setStrokeDasharray=function(Ce){this.strokeDasharray=Ce,this.visual&&ot.setAttributes(this.visual,[["stroke-dasharray",this.strokeDasharray]]),this.stateChanged()},Se.prototype.getState=function(){return Object.assign({fillColor:this.fillColor,strokeColor:this.strokeColor,strokeWidth:this.strokeWidth,strokeDasharray:this.strokeDasharray,opacity:this.opacity},Ze.prototype.getState.call(this))},Se.prototype.restoreState=function(Ce){var Ve=Ce;this.fillColor=Ve.fillColor,this.strokeColor=Ve.strokeColor,this.strokeWidth=Ve.strokeWidth,this.strokeDasharray=Ve.strokeDasharray,this.opacity=Ve.opacity,this.createVisual(),Ze.prototype.restoreState.call(this,Ce),this.setSize()},Se.prototype.scale=function(Ce,Ve){Ze.prototype.scale.call(this,Ce,Ve),this.setSize()},Se.title="Rectangle marker",Se}(Qe),$n=function(Ze){function Se(Ce,Ve,_e,Te){var pn=Ze.call(this,Ce,Te||'<svg viewBox="0 0 24 24"><path d="M3 17h18v-2H3v2m0 3h18v-1H3v1m0-7h18v-3H3v3m0-9v4h18V4H3z"/></svg>')||this;return pn.widths=[],pn.widthBoxes=[],pn.widths=Ve,pn.currentWidth=_e,pn.setCurrentWidth=pn.setCurrentWidth.bind(pn),pn}return ct(Se,Ze),Se.prototype.getUi=function(){var Ce=this,Ve=document.createElement("div");return Ve.style.display="flex",Ve.style.overflow="hidden",Ve.style.flexGrow="2",this.widths.forEach(function(_e){var Te=document.createElement("div");Te.style.display="flex",Te.style.flexGrow="2",Te.style.alignItems="center",Te.style.justifyContent="space-between",Te.style.padding="5px",Te.style.borderWidth="2px",Te.style.borderStyle="solid",Te.style.borderColor=_e===Ce.currentWidth?Ce.uiStyleSettings.toolboxAccentColor:"transparent",Te.addEventListener("click",function(){Ce.setCurrentWidth(_e,Te)}),Ve.appendChild(Te);var pn=document.createElement("div");pn.innerText=_e.toString(),pn.style.marginRight="5px",Te.appendChild(pn);var Yn=document.createElement("div");Yn.style.minHeight="20px",Yn.style.flexGrow="2",Yn.style.display="flex",Yn.style.alignItems="center";var Tn=document.createElement("hr");Tn.style.minWidth="20px",Tn.style.border="0px",Tn.style.borderTop=_e+"px solid "+Ce.uiStyleSettings.toolboxColor,Tn.style.flexGrow="2",Yn.appendChild(Tn),Te.appendChild(Yn),Ce.widthBoxes.push(Te)}),Ve},Se.prototype.setCurrentWidth=function(Ce,Ve){var _e=this;this.currentWidth=Ce,this.widthBoxes.forEach(function(Te){Te.style.borderColor=Te===Ve?_e.uiStyleSettings.toolboxAccentColor:"transparent"}),this.onWidthChanged&&this.onWidthChanged(this.currentWidth)},Se}(xt),An=function(Ze){function Se(Ce,Ve,_e,Te){var pn=Ze.call(this,Ce,Te||'<svg viewBox="0 0 24 24"><path d="M3 16h5v-2H3v2m6.5 0h5v-2h-5v2m6.5 0h5v-2h-5v2M3 20h2v-2H3v2m4 0h2v-2H7v2m4 0h2v-2h-2v2m4 0h2v-2h-2v2m4 0h2v-2h-2v2M3 12h8v-2H3v2m10 0h8v-2h-8v2M3 4v4h18V4H3z"/></svg>')||this;return pn.styles=[],pn.styleBoxes=[],pn.styles=Ve,pn.currentStyle=_e,pn.setCurrentStyle=pn.setCurrentStyle.bind(pn),pn}return ct(Se,Ze),Se.prototype.getUi=function(){var Ce=this,Ve=document.createElement("div");return Ve.style.display="flex",Ve.style.overflow="hidden",Ve.style.flexGrow="2",this.styles.forEach(function(_e){var Te=document.createElement("div");Te.style.display="flex",Te.style.alignItems="center",Te.style.justifyContent="space-between",Te.style.padding="5px",Te.style.borderWidth="2px",Te.style.borderStyle="solid",Te.style.overflow="hidden",Te.style.maxWidth=100/Ce.styles.length-5+"%",Te.style.borderColor=_e===Ce.currentStyle?Ce.uiStyleSettings.toolboxAccentColor:"transparent",Te.addEventListener("click",function(){Ce.setCurrentStyle(_e,Te)}),Ve.appendChild(Te);var pn=document.createElement("div");pn.style.minHeight="20px",pn.style.flexGrow="2",pn.style.overflow="hidden";var Yn=`<svg width="100" height="20">
      <line x1="0" y1="10" x2="100" y2="10" stroke="`+Ce.uiStyleSettings.toolboxColor+'" stroke-width="3" '+(_e!==""?'stroke-dasharray="'+_e+'"':"")+` />
  </svg>`;pn.innerHTML=Yn,Te.appendChild(pn),Ce.styleBoxes.push(Te)}),Ve},Se.prototype.setCurrentStyle=function(Ce,Ve){var _e=this;this.currentStyle=Ce,this.styleBoxes.forEach(function(Te){Te.style.borderColor=Te===Ve?_e.uiStyleSettings.toolboxAccentColor:"transparent"}),this.onStyleChanged&&this.onStyleChanged(this.currentStyle)},Se}(xt),hr=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.strokeColor=_e.defaultColor,Te.strokeWidth=_e.defaultStrokeWidth,Te.strokeDasharray=_e.defaultStrokeDasharray,Te.strokePanel=new Bt("Line color",_e.defaultColorSet,_e.defaultColor),Te.strokePanel.onColorChanged=Te.setStrokeColor,Te.strokeWidthPanel=new $n("Line width",_e.defaultStrokeWidths,_e.defaultStrokeWidth),Te.strokeWidthPanel.onWidthChanged=Te.setStrokeWidth,Te.strokeStylePanel=new An("Line style",_e.defaultStrokeDasharrays,_e.defaultStrokeDasharray),Te.strokeStylePanel.onStyleChanged=Te.setStrokeDasharray,Te}return ct(Se,Ze),Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Ze.prototype.getState.call(this);return Ce.typeName=Se.typeName,Ce},Se.typeName="FrameMarker",Se.title="Frame marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M4 6v13h16V6H4m14 11H6V8h12v9z"/></svg>',Se}(In),Kt=function(){this.defaultColorSet=["#EF4444","#10B981","#2563EB","#FFFF00","#7C3AED","#F472B6","#000000","#FFFFFF"],this.defaultColor=this.defaultColorSet[0],this.defaultFillColor=this.defaultColorSet[0],this.defaultStrokeColor=this.defaultColorSet[7],this.defaultHighlightColor=this.defaultColorSet[3],this.defaultStrokeWidth=3,this.defaultStrokeDasharray="",this.defaultHighlightOpacity=.5,this.defaultFontFamily="Helvetica, Arial, sans-serif",this.defaultStrokeWidths=[1,2,3,5,10],this.defaultStrokeDasharrays=["","3","12 3","9 6 3 6"],this.defaultOpacitySteps=[.1,.25,.5,.75,1],this.displayMode="inline",this.defaultFontFamilies=['Times, "Times New Roman", serif',"Helvetica, Arial, sans-serif",'Courier, "Courier New", monospace',"cursive","fantasy"],this.popupMargin=30,this.newFreehandMarkerOnPointerUp=!1,this.defaultColorsFollowCurrentColors=!1,this.freehandPixelRatio=1,this.disableRotation=!1,this.defaultCaptionFontSize="1rem",this.defaultCaptionText="Text"},$t=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.x1=0,Te.y1=0,Te.x2=0,Te.y2=0,Te.defaultLength=50,Te.manipulationStartX=0,Te.manipulationStartY=0,Te.manipulationStartX1=0,Te.manipulationStartY1=0,Te.manipulationStartX2=0,Te.manipulationStartY2=0,Te.setupControlBox(),Te}return ct(Se,Ze),Se.prototype.ownsTarget=function(Ce){return!!Ze.prototype.ownsTarget.call(this,Ce)||!(!this.grip1.ownsTarget(Ce)&&!this.grip2.ownsTarget(Ce))},Se.prototype.pointerDown=function(Ce,Ve){Ze.prototype.pointerDown.call(this,Ce,Ve),this.manipulationStartX=Ce.x,this.manipulationStartY=Ce.y,this.state==="new"&&(this.x1=Ce.x,this.y1=Ce.y,this.x2=Ce.x,this.y2=Ce.y),this.manipulationStartX1=this.x1,this.manipulationStartY1=this.y1,this.manipulationStartX2=this.x2,this.manipulationStartY2=this.y2,this.state!=="new"&&(this.select(),this.grip1.ownsTarget(Ve)?this.activeGrip=this.grip1:this.grip2.ownsTarget(Ve)?this.activeGrip=this.grip2:this.activeGrip=void 0,this.activeGrip?this._state="resize":this._state="move")},Se.prototype.pointerUp=function(Ce){var Ve=this.state;Ze.prototype.pointerUp.call(this,Ce),this.state==="creating"&&Math.abs(this.x1-this.x2)<10&&Math.abs(this.y1-this.y2)<10?(this.x2=this.x1+this.defaultLength,this.adjustVisual(),this.adjustControlBox()):this.manipulate(Ce),this._state="select",Ve==="creating"&&this.onMarkerCreated&&this.onMarkerCreated(this)},Se.prototype.adjustVisual=function(){},Se.prototype.manipulate=function(Ce){this.state==="creating"?this.resize(Ce):this.state==="move"?(this.x1=this.manipulationStartX1+Ce.x-this.manipulationStartX,this.y1=this.manipulationStartY1+Ce.y-this.manipulationStartY,this.x2=this.manipulationStartX2+Ce.x-this.manipulationStartX,this.y2=this.manipulationStartY2+Ce.y-this.manipulationStartY,this.adjustVisual(),this.adjustControlBox()):this.state==="resize"&&this.resize(Ce)},Se.prototype.resize=function(Ce){switch(this.activeGrip){case this.grip1:this.x1=Ce.x,this.y1=Ce.y;break;case this.grip2:case void 0:this.x2=Ce.x,this.y2=Ce.y}this.adjustVisual(),this.adjustControlBox()},Se.prototype.select=function(){Ze.prototype.select.call(this),this.adjustControlBox(),this.controlBox.style.display=""},Se.prototype.deselect=function(){Ze.prototype.deselect.call(this),this.controlBox.style.display="none"},Se.prototype.setupControlBox=function(){this.controlBox=ot.createGroup(),this.container.appendChild(this.controlBox),this.addControlGrips(),this.controlBox.style.display="none"},Se.prototype.adjustControlBox=function(){this.positionGrips()},Se.prototype.addControlGrips=function(){this.grip1=this.createGrip(),this.grip2=this.createGrip(),this.positionGrips()},Se.prototype.createGrip=function(){var Ce=new Qt;return Ce.visual.transform.baseVal.appendItem(ot.createTransform()),this.controlBox.appendChild(Ce.visual),Ce},Se.prototype.positionGrips=function(){var Ce=this.grip1.GRIP_SIZE;this.positionGrip(this.grip1.visual,this.x1-Ce/2,this.y1-Ce/2),this.positionGrip(this.grip2.visual,this.x2-Ce/2,this.y2-Ce/2)},Se.prototype.positionGrip=function(Ce,Ve,_e){var Te=Ce.transform.baseVal.getItem(0);Te.setTranslate(Ve,_e),Ce.transform.baseVal.replaceItem(Te,0)},Se.prototype.getState=function(){return Object.assign({x1:this.x1,y1:this.y1,x2:this.x2,y2:this.y2},Ze.prototype.getState.call(this))},Se.prototype.restoreState=function(Ce){Ze.prototype.restoreState.call(this,Ce);var Ve=Ce;this.x1=Ve.x1,this.y1=Ve.y1,this.x2=Ve.x2,this.y2=Ve.y2},Se.prototype.scale=function(Ce,Ve){Ze.prototype.scale.call(this,Ce,Ve),this.x1=this.x1*Ce,this.y1=this.y1*Ve,this.x2=this.x2*Ce,this.y2=this.y2*Ve,this.adjustVisual(),this.adjustControlBox()},Se}(Nt),Dn=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.strokeColor="transparent",Te.strokeWidth=0,Te.strokeDasharray="",Te.setStrokeColor=Te.setStrokeColor.bind(Te),Te.setStrokeWidth=Te.setStrokeWidth.bind(Te),Te.setStrokeDasharray=Te.setStrokeDasharray.bind(Te),Te.strokeColor=_e.defaultColor,Te.strokeWidth=_e.defaultStrokeWidth,Te.strokeDasharray=_e.defaultStrokeDasharray,Te.strokePanel=new Bt("Line color",_e.defaultColorSet,_e.defaultColor),Te.strokePanel.onColorChanged=Te.setStrokeColor,Te.strokeWidthPanel=new $n("Line width",_e.defaultStrokeWidths,_e.defaultStrokeWidth),Te.strokeWidthPanel.onWidthChanged=Te.setStrokeWidth,Te.strokeStylePanel=new An("Line style",_e.defaultStrokeDasharrays,_e.defaultStrokeDasharray),Te.strokeStylePanel.onStyleChanged=Te.setStrokeDasharray,Te}return ct(Se,Ze),Se.prototype.ownsTarget=function(Ce){return!(!Ze.prototype.ownsTarget.call(this,Ce)&&Ce!==this.visual&&Ce!==this.selectorLine&&Ce!==this.visibleLine)},Se.prototype.createVisual=function(){this.visual=ot.createGroup(),this.selectorLine=ot.createLine(this.x1,this.y1,this.x2,this.y2,[["stroke","transparent"],["stroke-width",(this.strokeWidth+10).toString()]]),this.visibleLine=ot.createLine(this.x1,this.y1,this.x2,this.y2,[["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()]]),this.visual.appendChild(this.selectorLine),this.visual.appendChild(this.visibleLine),this.addMarkerVisualToContainer(this.visual)},Se.prototype.pointerDown=function(Ce,Ve){Ze.prototype.pointerDown.call(this,Ce,Ve),this.state==="new"&&(this.createVisual(),this.adjustVisual(),this._state="creating")},Se.prototype.adjustVisual=function(){this.selectorLine&&this.visibleLine&&(this.selectorLine.setAttribute("x1",this.x1.toString()),this.selectorLine.setAttribute("y1",this.y1.toString()),this.selectorLine.setAttribute("x2",this.x2.toString()),this.selectorLine.setAttribute("y2",this.y2.toString()),this.visibleLine.setAttribute("x1",this.x1.toString()),this.visibleLine.setAttribute("y1",this.y1.toString()),this.visibleLine.setAttribute("x2",this.x2.toString()),this.visibleLine.setAttribute("y2",this.y2.toString()),ot.setAttributes(this.visibleLine,[["stroke",this.strokeColor]]),ot.setAttributes(this.visibleLine,[["stroke-width",this.strokeWidth.toString()]]),ot.setAttributes(this.visibleLine,[["stroke-dasharray",this.strokeDasharray.toString()]]))},Se.prototype.setStrokeColor=function(Ce){this.strokeColor=Ce,this.adjustVisual(),this.colorChanged(Ce)},Se.prototype.setStrokeWidth=function(Ce){this.strokeWidth=Ce,this.adjustVisual()},Se.prototype.setStrokeDasharray=function(Ce){this.strokeDasharray=Ce,this.adjustVisual(),this.stateChanged()},Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Object.assign({strokeColor:this.strokeColor,strokeWidth:this.strokeWidth,strokeDasharray:this.strokeDasharray},Ze.prototype.getState.call(this));return Ce.typeName=Se.typeName,Ce},Se.prototype.restoreState=function(Ce){Ze.prototype.restoreState.call(this,Ce);var Ve=Ce;this.strokeColor=Ve.strokeColor,this.strokeWidth=Ve.strokeWidth,this.strokeDasharray=Ve.strokeDasharray,this.createVisual(),this.adjustVisual()},Se.typeName="LineMarker",Se.title="Line marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M19 13H5v-2h14v2z"/></svg>',Se}($t),nn=function(Ze){function Se(Ce,Ve,_e,Te){var pn=Ze.call(this,Ce,Te||'<svg viewBox="0 0 24 24"><path d="M17 8h3v12h1v1h-4v-1h1v-3h-4l-1.5 3H14v1h-4v-1h1l6-12m1 1l-3.5 7H18V9M5 3h5c1.11 0 2 .89 2 2v11H9v-5H6v5H3V5c0-1.11.89-2 2-2m1 2v4h3V5H6z"/></svg>')||this;return pn.fonts=[],pn.fontBoxes=[],pn.fonts=Ve,pn.currentFont=_e,pn.setCurrentFont=pn.setCurrentFont.bind(pn),pn}return ct(Se,Ze),Se.prototype.getUi=function(){var Ce=this,Ve=document.createElement("div");return Ve.style.overflow="hidden",Ve.style.flexGrow="2",this.fonts.forEach(function(_e){var Te=document.createElement("div");Te.style.display="inline-block",Te.style.alignItems="center",Te.style.justifyContent="space-between",Te.style.padding="5px",Te.style.borderWidth="2px",Te.style.borderStyle="solid",Te.style.overflow="hidden",Te.style.maxWidth=100/Ce.fonts.length-5+"%",Te.style.borderColor=_e===Ce.currentFont?Ce.uiStyleSettings.toolboxAccentColor:"transparent",Te.addEventListener("click",function(){Ce.setCurrentFont(_e,Te)}),Ve.appendChild(Te);var pn=document.createElement("div");pn.style.display="flex",pn.style.minHeight="20px",pn.style.flexGrow="2",pn.style.fontFamily=_e,pn.style.overflow="hidden";var Yn=document.createElement("div");Yn.style.whiteSpace="nowrap",Yn.style.overflow="hidden",Yn.style.textOverflow="ellipsis",Yn.innerHTML="The quick brown fox jumps over the lazy dog",pn.appendChild(Yn),Te.appendChild(pn),Ce.fontBoxes.push(Te)}),Ve},Se.prototype.setCurrentFont=function(Ce,Ve){var _e=this;this.currentFont=Ce,this.fontBoxes.forEach(function(Te){Te.style.borderColor=Te===Ve?_e.uiStyleSettings.toolboxAccentColor:"transparent"}),this.onFontChanged&&this.onFontChanged(this.currentFont)},Se}(xt),vn=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.color="transparent",Te.padding=5,Te.DEFAULT_TEXT="\u8BF7\u8F93\u5165\u6587\u672C",Te.text=Te.DEFAULT_TEXT,Te.isMoved=!1,Te.color=_e.defaultColor,Te.fontFamily=_e.defaultFontFamily,Te.defaultSize={x:100,y:30},Te.setColor=Te.setColor.bind(Te),Te.setFont=Te.setFont.bind(Te),Te.renderText=Te.renderText.bind(Te),Te.sizeText=Te.sizeText.bind(Te),Te.textEditDivClicked=Te.textEditDivClicked.bind(Te),Te.showTextEditor=Te.showTextEditor.bind(Te),Te.setSize=Te.setSize.bind(Te),Te.positionTextEditor=Te.positionTextEditor.bind(Te),Te.colorPanel=new Bt("Color",_e.defaultColorSet,_e.defaultColor),Te.colorPanel.onColorChanged=Te.setColor,Te.fontFamilyPanel=new nn("Font",_e.defaultFontFamilies,_e.defaultFontFamily),Te.fontFamilyPanel.onFontChanged=Te.setFont,Te}return ct(Se,Ze),Se.prototype.ownsTarget=function(Ce){if(Ze.prototype.ownsTarget.call(this,Ce)||Ce===this.visual||Ce===this.textElement||Ce===this.bgRectangle)return!0;var Ve=!1;return this.textElement.childNodes.forEach(function(_e){_e===Ce&&(Ve=!0)}),Ve},Se.prototype.createVisual=function(){this.visual=ot.createGroup(),this.bgRectangle=ot.createRect(1,1,[["fill","transparent"]]),this.visual.appendChild(this.bgRectangle),this.textElement=ot.createText([["fill",this.color],["font-family",this.fontFamily],["font-size","16px"],["x","0"],["y","0"]]),this.textElement.transform.baseVal.appendItem(ot.createTransform()),this.textElement.transform.baseVal.appendItem(ot.createTransform()),this.visual.appendChild(this.textElement),this.addMarkerVisualToContainer(this.visual),this.renderText()},Se.prototype.pointerDown=function(Ce,Ve){Ze.prototype.pointerDown.call(this,Ce,Ve),this.isMoved=!1,this.pointerDownPoint=Ce,this.pointerDownTimestamp=Date.now(),this.state==="new"&&(this.createVisual(),this.moveVisual(Ce),this._state="creating")},Se.prototype.renderText=function(){var Ce=this;if(this.textElement){for(;this.textElement.lastChild;)this.textElement.removeChild(this.textElement.lastChild);this.text.split(/\r\n|[\n\v\f\r\x85\u2028\u2029]/).forEach(function(Ve){Ce.textElement.appendChild(ot.createTSpan(Ve.trim()===""?" ":Ve.trim(),[["x","0"],["dy","1.2em"]]))}),setTimeout(this.sizeText,10)}},Se.prototype.getTextScale=function(){var Ce=this.textElement.getBBox(),Ve=1;if(Ce.width>0&&Ce.height>0){var _e=(1*this.width-this.width*this.padding*2/100)/Ce.width,Te=(1*this.height-this.height*this.padding*2/100)/Ce.height;Ve=Math.min(_e,Te)}return Ve},Se.prototype.getTextPosition=function(Ce){var Ve=this.textElement.getBBox(),_e=0,Te=0;return Ve.width>0&&Ve.height>0&&(_e=(this.width-Ve.width*Ce)/2,Te=this.height/2-Ve.height*Ce/2),{x:_e,y:Te}},Se.prototype.sizeText=function(){var Ce=this.textElement.getBBox(),Ve=this.getTextScale(),_e=this.getTextPosition(Ve);_e.y-=Ce.y*Ve,navigator.userAgent.indexOf("Edge/")>-1?this.textElement.style.transform="translate("+_e.x+"px, "+_e.y+"px) scale("+Ve+", "+Ve+")":(this.textElement.transform.baseVal.getItem(0).setTranslate(_e.x,_e.y),this.textElement.transform.baseVal.getItem(1).setScale(Ve,Ve))},Se.prototype.manipulate=function(Ce){Ze.prototype.manipulate.call(this,Ce),this.pointerDownPoint!==void 0&&(this.isMoved=Math.abs(Ce.x-this.pointerDownPoint.x)>5||Math.abs(Ce.y-this.pointerDownPoint.y)>5)},Se.prototype.resize=function(Ce){Ze.prototype.resize.call(this,Ce),this.isMoved=!0,this.setSize(),this.sizeText()},Se.prototype.setSize=function(){Ze.prototype.setSize.call(this),this.visual&&this.bgRectangle&&(ot.setAttributes(this.visual,[["width",this.width.toString()],["height",this.height.toString()]]),ot.setAttributes(this.bgRectangle,[["width",this.width.toString()],["height",this.height.toString()]]))},Se.prototype.pointerUp=function(Ce){var Ve=this.state;Ve==="creating"&&(this._suppressMarkerCreateEvent=!0),Ze.prototype.pointerUp.call(this,Ce),this.setSize(),(Ve==="creating"||!this.isMoved&&Date.now()-this.pointerDownTimestamp>500)&&this.showTextEditor(),this.pointerDownPoint=void 0},Se.prototype.showTextEditor=function(){var Ce=this;this._state="edit",this.overlayContainer.innerHTML="",this.textEditDiv=document.createElement("div"),this.textEditDiv.style.flexGrow="2",this.textEditDiv.style.alignItems="center",this.textEditDiv.style.justifyContent="center",this.textEditDiv.style.pointerEvents="auto",this.textEditDiv.style.overflow="hidden",this.textEditor=document.createElement("div"),this.textEditor.style.position="absolute",this.textEditor.style.fontFamily=this.fontFamily,this.textEditor.style.lineHeight="1em",this.textEditor.innerText=this.text,this.textEditor.contentEditable="true",this.textEditor.style.color=this.color,this.textEditor.style.whiteSpace="pre",this.positionTextEditor(),this.textEditor.addEventListener("pointerup",function(Ve){Ve.stopPropagation()}),this.textEditor.addEventListener("input",function(){for(var Ve=Number.parseFloat(Ce.textEditor.style.fontSize);Ce.textEditor.clientWidth>=Number.parseInt(Ce.textEditor.style.maxWidth)&&Ve>.9;)Ve-=.1,Ce.textEditor.style.fontSize=Math.max(Ve,.9)+"em"}),this.textEditor.addEventListener("keyup",function(Ve){Ve.cancelBubble=!0}),this.textEditor.addEventListener("paste",function(Ve){if(Ve.clipboardData){var _e=Ve.clipboardData.getData("text"),Te=window.getSelection();if(!Te.rangeCount)return!1;Te.deleteFromDocument(),Te.getRangeAt(0).insertNode(document.createTextNode(_e)),Ve.preventDefault()}}),this.textEditDiv.addEventListener("pointerup",function(){Ce.textEditDivClicked(Ce.textEditor.innerText)}),this.textEditDiv.appendChild(this.textEditor),this.overlayContainer.appendChild(this.textEditDiv),this.hideVisual(),this.textEditor.focus(),document.execCommand("selectAll")},Se.prototype.positionTextEditor=function(){if(this.state==="edit")if(this.textEditor===void 0)this.showTextEditor();else{this.textElement.style.display="";var Ce=this.getTextScale(),Ve=this.rotatePoint({x:this.left+this.width/2,y:this.top+this.height/2}),_e=this.textElement.getBBox(),Te={x:_e.width*Ce,y:_e.height*Ce};Ve.x-=Te.x/2,Ve.y-=Te.y/2,this.textEditor.style.top=Ve.y+"px",this.textEditor.style.left=Ve.x+"px",this.textEditor.style.maxWidth=this.overlayContainer.offsetWidth-Ve.x+"px",this.textEditor.style.fontSize=Math.max(16*Ce,12)+"px",this.textElement.style.display="none"}},Se.prototype.textEditDivClicked=function(Ce){this.text=Ce.trim(),this.overlayContainer.innerHTML="",this.renderText(),this.showVisual(),this._suppressMarkerCreateEvent&&(this._suppressMarkerCreateEvent=!1,this.onMarkerCreated&&this.onMarkerCreated(this)),this.stateChanged()},Se.prototype.select=function(){Ze.prototype.select.call(this),this.state==="edit"&&this.textEditDivClicked(this.textEditor.innerText)},Se.prototype.deselect=function(){this.state==="edit"&&this.textEditDivClicked(this.textEditor.innerText),Ze.prototype.deselect.call(this)},Se.prototype.dblClick=function(Ce,Ve){Ze.prototype.dblClick.call(this,Ce,Ve),this.showTextEditor()},Se.prototype.setColor=function(Ce){this.textElement&&ot.setAttributes(this.textElement,[["fill",Ce]]),this.color=Ce,this.textEditor&&(this.textEditor.style.color=this.color),this.colorChanged(Ce)},Se.prototype.setFont=function(Ce){this.textElement&&ot.setAttributes(this.textElement,[["font-family",Ce]]),this.fontFamily=Ce,this.textEditor&&(this.textEditor.style.fontFamily=this.fontFamily),this.renderText(),this.stateChanged()},Se.prototype.hideVisual=function(){this.textElement.style.display="none",this.hideControlBox()},Se.prototype.showVisual=function(){this.state==="edit"&&(this._state="select"),this.textElement.style.display="",this.showControlBox()},Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.colorPanel,this.fontFamilyPanel]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Object.assign({color:this.color,fontFamily:this.fontFamily,padding:this.padding,text:this.text},Ze.prototype.getState.call(this));return Ce.typeName=Se.typeName,Ce},Se.prototype.restoreState=function(Ce){var Ve=Ce;this.color=Ve.color,this.fontFamily=Ve.fontFamily,this.padding=Ve.padding,this.text=Ve.text,this.createVisual(),Ze.prototype.restoreState.call(this,Ce),this.setSize()},Se.prototype.scale=function(Ce,Ve){Ze.prototype.scale.call(this,Ce,Ve),this.setSize(),this.sizeText(),this.positionTextEditor()},Se.typeName="TextMarker",Se.title="Text marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M9.6 14L12 7.7l2.4 6.3M11 5L5.5 19h2.2l1.1-3H15l1.1 3h2.2L13 5h-2z"/></svg>',Se}(Qe),dn=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.color="transparent",Te.lineWidth=3,Te.drawing=!1,Te.pixelRatio=1,Te.color=_e.defaultColor,Te.lineWidth=_e.defaultStrokeWidth,Te.pixelRatio=_e.freehandPixelRatio,Te.setColor=Te.setColor.bind(Te),Te.addCanvas=Te.addCanvas.bind(Te),Te.finishCreation=Te.finishCreation.bind(Te),Te.setLineWidth=Te.setLineWidth.bind(Te),Te.colorPanel=new Bt("Color",_e.defaultColorSet,_e.defaultColor),Te.colorPanel.onColorChanged=Te.setColor,Te.lineWidthPanel=new $n("Line width",_e.defaultStrokeWidths,_e.defaultStrokeWidth),Te.lineWidthPanel.onWidthChanged=Te.setLineWidth,Te}return ct(Se,Ze),Se.prototype.ownsTarget=function(Ce){return!(!Ze.prototype.ownsTarget.call(this,Ce)&&Ce!==this.visual&&Ce!==this.drawingImage)},Se.prototype.createVisual=function(){this.visual=ot.createGroup(),this.drawingImage=ot.createImage(),this.visual.appendChild(this.drawingImage);var Ce=ot.createTransform();this.visual.transform.baseVal.appendItem(Ce),this.addMarkerVisualToContainer(this.visual)},Se.prototype.pointerDown=function(Ce,Ve){this.state==="new"&&(this.addCanvas(),this.createVisual(),this._state="creating"),this.state==="creating"?(this.canvasContext.strokeStyle=this.color,this.canvasContext.lineWidth=this.lineWidth,this.canvasContext.beginPath(),this.canvasContext.moveTo(Ce.x,Ce.y),this.drawing=!0):Ze.prototype.pointerDown.call(this,Ce,Ve)},Se.prototype.manipulate=function(Ce){this.state==="creating"?this.drawing&&(this.canvasContext.lineTo(Ce.x,Ce.y),this.canvasContext.stroke()):Ze.prototype.manipulate.call(this,Ce)},Se.prototype.resize=function(Ce){Ze.prototype.resize.call(this,Ce),ot.setAttributes(this.visual,[["width",this.width.toString()],["height",this.height.toString()]]),ot.setAttributes(this.drawingImage,[["width",this.width.toString()],["height",this.height.toString()]])},Se.prototype.pointerUp=function(Ce){this._state==="creating"?this.drawing&&(this.canvasContext.closePath(),this.drawing=!1,this.globalSettings.newFreehandMarkerOnPointerUp&&this.finishCreation()):Ze.prototype.pointerUp.call(this,Ce)},Se.prototype.addCanvas=function(){this.overlayContainer.innerHTML="",this.canvasElement=document.createElement("canvas"),this.canvasElement.width=this.overlayContainer.clientWidth*this.pixelRatio,this.canvasElement.height=this.overlayContainer.clientHeight*this.pixelRatio,this.canvasContext=this.canvasElement.getContext("2d"),this.canvasContext.scale(this.pixelRatio,this.pixelRatio),this.overlayContainer.appendChild(this.canvasElement)},Se.prototype.select=function(){this.state==="creating"&&this.finishCreation(),Ze.prototype.select.call(this)},Se.prototype.deselect=function(){this.state==="creating"&&this.finishCreation(),Ze.prototype.deselect.call(this)},Se.prototype.finishCreation=function(){for(var Ce=this.canvasContext.getImageData(0,0,this.canvasElement.width,this.canvasElement.height),Ve=[this.canvasElement.width+1,this.canvasElement.height+1,-1,-1],_e=Ve[0],Te=Ve[1],pn=Ve[2],Yn=Ve[3],Tn=!1,qi=0;qi<this.canvasElement.height;qi++)for(var es=0;es<this.canvasElement.width;es++)Ce.data[qi*this.canvasElement.width*4+4*es+3]>0&&(Tn=!0,qi<Te&&(Te=qi),es<_e&&(_e=es),qi>Yn&&(Yn=qi),es>pn&&(pn=es));if(Tn){this.left=_e/this.pixelRatio,this.top=Te/this.pixelRatio,this.width=(pn-_e)/this.pixelRatio,this.height=(Yn-Te)/this.pixelRatio;var Ii=document.createElement("canvas");Ii.width=pn-_e,Ii.height=Yn-Te,Ii.getContext("2d").putImageData(this.canvasContext.getImageData(_e,Te,pn-_e,Yn-Te),0,0),this.drawingImgUrl=Ii.toDataURL("image/png"),this.setDrawingImage(),this._state="select",this.onMarkerCreated&&this.onMarkerCreated(this)}this.overlayContainer.innerHTML=""},Se.prototype.setDrawingImage=function(){ot.setAttributes(this.drawingImage,[["width",this.width.toString()],["height",this.height.toString()]]),ot.setAttributes(this.drawingImage,[["href",this.drawingImgUrl]]),this.moveVisual({x:this.left,y:this.top})},Se.prototype.setColor=function(Ce){this.color=Ce,this.colorChanged(Ce)},Se.prototype.setLineWidth=function(Ce){this.lineWidth=Ce},Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return this.state==="new"||this.state==="creating"?[this.colorPanel,this.lineWidthPanel]:[]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Object.assign({drawingImgUrl:this.drawingImgUrl},Ze.prototype.getState.call(this));return Ce.typeName=Se.typeName,Ce},Se.prototype.restoreState=function(Ce){this.createVisual(),Ze.prototype.restoreState.call(this,Ce),this.drawingImgUrl=Ce.drawingImgUrl,this.setDrawingImage()},Se.prototype.scale=function(Ce,Ve){Ze.prototype.scale.call(this,Ce,Ve),this.setDrawingImage()},Se.typeName="FreehandMarker",Se.title="Freehand marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M9.75 20.85c1.78-.7 1.39-2.63.49-3.85-.89-1.25-2.12-2.11-3.36-2.94A9.817 9.817 0 014.54 12c-.28-.33-.85-.94-.27-1.06.59-.12 1.61.46 2.13.68.91.38 1.81.82 2.65 1.34l1.01-1.7C8.5 10.23 6.5 9.32 4.64 9.05c-1.06-.16-2.18.06-2.54 1.21-.32.99.19 1.99.77 2.77 1.37 1.83 3.5 2.71 5.09 4.29.34.33.75.72.95 1.18.21.44.16.47-.31.47-1.24 0-2.79-.97-3.8-1.61l-1.01 1.7c1.53.94 4.09 2.41 5.96 1.79m11.09-15.6c.22-.22.22-.58 0-.79l-1.3-1.3a.562.562 0 00-.78 0l-1.02 1.02 2.08 2.08M11 10.92V13h2.08l6.15-6.15-2.08-2.08L11 10.92z"/></svg>',Se}(Qe),nr=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,_e||'<svg viewBox="0 0 24 24"><path d="M8 14v4l-6-6 6-6v4h8V6l6 6-6 6v-4H8z"/></svg>')||this;return Te.typeBoxes=[],Te.currentType=Ve,Te.setCurrentType=Te.setCurrentType.bind(Te),Te}return ct(Se,Ze),Se.prototype.getUi=function(){var Ce=this,Ve=document.createElement("div");Ve.style.display="flex",Ve.style.overflow="hidden",Ve.style.flexGrow="2";for(var _e=function(Yn){var Tn="both";switch(Yn){case 0:Tn="both";break;case 1:Tn="start";break;case 2:Tn="end";break;case 3:Tn="none"}var qi=document.createElement("div");if(qi.style.display="flex",qi.style.flexGrow="2",qi.style.alignItems="center",qi.style.justifyContent="space-between",qi.style.padding="5px",qi.style.borderWidth="2px",qi.style.borderStyle="solid",qi.style.borderColor=Tn===Te.currentType?Te.uiStyleSettings.toolboxAccentColor:"transparent",qi.addEventListener("click",function(){Ce.setCurrentType(Tn,qi)}),Ve.appendChild(qi),Tn==="both"||Tn==="start"){var es=document.createElement("div");es.style.display="flex",es.style.alignItems="center",es.style.minHeight="20px",es.innerHTML=`<svg viewBox="0 0 10 10" width="10" height="10" xmlns="http://www.w3.org/2000/svg">
          <polygon points="0,5 10,0 10,10" fill="`+(Te.uiStyleSettings!==void 0?Te.uiStyleSettings.toolboxColor:"#eeeeee")+`" />
        </svg>`,es.style.marginLeft="5px",qi.appendChild(es)}var Ii=document.createElement("div");Ii.style.display="flex",Ii.style.alignItems="center",Ii.style.minHeight="20px",Ii.style.flexGrow="2";var Ra=document.createElement("hr");if(Ra.style.minWidth="20px",Ra.style.border="0px",Ra.style.borderTop="3px solid "+(Te.uiStyleSettings!==void 0?Te.uiStyleSettings.toolboxColor:"#eeeeee"),Ra.style.flexGrow="2",Ii.appendChild(Ra),qi.appendChild(Ii),Tn==="both"||Tn==="end"){var Vs=document.createElement("div");Vs.style.display="flex",Vs.style.alignItems="center",Vs.style.minHeight="20px",Vs.innerHTML=`<svg viewBox="0 0 10 10" width="10" height="10" xmlns="http://www.w3.org/2000/svg">
          <polygon points="0,0 10,5 0,10" fill="`+(Te.uiStyleSettings!==void 0?Te.uiStyleSettings.toolboxColor:"#eeeeee")+`" />
        </svg>`,Vs.style.marginRight="5px",qi.appendChild(Vs)}Te.typeBoxes.push(qi)},Te=this,pn=0;pn<4;pn++)_e(pn);return Ve},Se.prototype.setCurrentType=function(Ce,Ve){var _e=this;this.currentType=Ce,this.typeBoxes.forEach(function(Te){Te.style.borderColor=Te===Ve?_e.uiStyleSettings!==void 0?_e.uiStyleSettings.toolboxAccentColor:"#3080c3":"transparent"}),this.onArrowTypeChanged&&this.onArrowTypeChanged(this.currentType)},Se}(xt),rr=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.arrowType="end",Te.arrowBaseHeight=10,Te.arrowBaseWidth=10,Te.getArrowPoints=Te.getArrowPoints.bind(Te),Te.setArrowType=Te.setArrowType.bind(Te),Te.arrowTypePanel=new nr("Arrow type","end"),Te.arrowTypePanel.onArrowTypeChanged=Te.setArrowType,Te}return ct(Se,Ze),Se.prototype.ownsTarget=function(Ce){return!(!Ze.prototype.ownsTarget.call(this,Ce)&&Ce!==this.arrow1&&Ce!==this.arrow2)},Se.prototype.getArrowPoints=function(Ce,Ve){var _e=this.arrowBaseWidth+2*this.strokeWidth,Te=this.arrowBaseHeight+2*this.strokeWidth;return Ce-_e/2+","+(Ve+Te/2)+" "+Ce+","+(Ve-Te/2)+" "+(Ce+_e/2)+","+(Ve+Te/2)},Se.prototype.createTips=function(){this.arrow1=ot.createPolygon(this.getArrowPoints(this.x1,this.y1),[["fill",this.strokeColor]]),this.arrow1.transform.baseVal.appendItem(ot.createTransform()),this.visual.appendChild(this.arrow1),this.arrow2=ot.createPolygon(this.getArrowPoints(this.x2,this.y2),[["fill",this.strokeColor]]),this.arrow2.transform.baseVal.appendItem(ot.createTransform()),this.visual.appendChild(this.arrow2)},Se.prototype.pointerDown=function(Ce,Ve){Ze.prototype.pointerDown.call(this,Ce,Ve),this.state==="creating"&&this.createTips()},Se.prototype.adjustVisual=function(){if(Ze.prototype.adjustVisual.call(this),this.arrow1&&this.arrow2){this.arrow1.style.display=this.arrowType==="both"||this.arrowType==="start"?"":"none",this.arrow2.style.display=this.arrowType==="both"||this.arrowType==="end"?"":"none",ot.setAttributes(this.arrow1,[["points",this.getArrowPoints(this.x1,this.y1)],["fill",this.strokeColor]]),ot.setAttributes(this.arrow2,[["points",this.getArrowPoints(this.x2,this.y2)],["fill",this.strokeColor]]);var Ce=0;Math.abs(this.x1-this.x2)>.1&&(Ce=180*Math.atan((this.y2-this.y1)/(this.x2-this.x1))/Math.PI+90*Math.sign(this.x1-this.x2));var Ve=this.arrow1.transform.baseVal.getItem(0);Ve.setRotate(Ce,this.x1,this.y1),this.arrow1.transform.baseVal.replaceItem(Ve,0);var _e=this.arrow2.transform.baseVal.getItem(0);_e.setRotate(Ce+180,this.x2,this.y2),this.arrow2.transform.baseVal.replaceItem(_e,0)}},Se.prototype.setArrowType=function(Ce){this.arrowType=Ce,this.adjustVisual(),this.stateChanged()},Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel,this.arrowTypePanel]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Object.assign({arrowType:this.arrowType},Ze.prototype.getState.call(this));return Ce.typeName=Se.typeName,Ce},Se.prototype.restoreState=function(Ce){Ze.prototype.restoreState.call(this,Ce);var Ve=Ce;this.arrowType=Ve.arrowType,this.createTips(),this.adjustVisual()},Se.typeName="ArrowMarker",Se.title="Arrow marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M19 6.41L17.59 5 7 15.59V9H5v10h10v-2H8.41L19 6.41z"/></svg>',Se}(Dn),Ht=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.fillColor=_e.defaultFillColor,Te.strokeWidth=0,Te.fillPanel=new Bt("Color",_e.defaultColorSet,_e.defaultFillColor),Te.fillPanel.onColorChanged=Te.setFillColor,Te}return ct(Se,Ze),Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.fillPanel]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Ze.prototype.getState.call(this);return Ce.typeName=Se.typeName,Ce},Se.typeName="CoverMarker",Se.title="Cover marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M4 6v13h16V6H4z"/></svg>',Se}(In),fn=function(Ze){function Se(Ce,Ve,_e,Te){var pn=Ze.call(this,Ce,Te||'<svg viewBox="0 0 24 24"><path d="M17.66 8L12 2.35 6.34 8A8.02 8.02 0 004 13.64c0 2 .78 4.11 2.34 5.67a7.99 7.99 0 0011.32 0c1.56-1.56 2.34-3.67 2.34-5.67S19.22 9.56 17.66 8M6 14c0-2 .62-3.27 1.76-4.4L12 5.27l4.24 4.38C17.38 10.77 18 12 18 14H6z"/></svg>')||this;return pn.opacities=[],pn.opacityBoxes=[],pn.opacities=Ve,pn.currentOpacity=_e,pn.setCurrentOpacity=pn.setCurrentOpacity.bind(pn),pn}return ct(Se,Ze),Se.prototype.getUi=function(){var Ce=this,Ve=document.createElement("div");return Ve.style.display="flex",Ve.style.overflow="hidden",Ve.style.flexGrow="2",Ve.style.justifyContent="space-between",this.opacities.forEach(function(_e){var Te=document.createElement("div");Te.style.display="flex",Te.style.alignItems="center",Te.style.justifyContent="center",Te.style.padding="5px",Te.style.borderWidth="2px",Te.style.borderStyle="solid",Te.style.borderColor=_e===Ce.currentOpacity?Ce.uiStyleSettings.toolboxAccentColor:"transparent",Te.addEventListener("click",function(){Ce.setCurrentOpacity(_e,Te)}),Ve.appendChild(Te);var pn=document.createElement("div");pn.innerText=100*_e+"%",Te.appendChild(pn),Ce.opacityBoxes.push(Te)}),Ve},Se.prototype.setCurrentOpacity=function(Ce,Ve){var _e=this;this.currentOpacity=Ce,this.opacityBoxes.forEach(function(Te){Te.style.borderColor=Te===Ve?_e.uiStyleSettings.toolboxAccentColor:"transparent"}),this.onOpacityChanged&&this.onOpacityChanged(this.currentOpacity)},Se}(xt),Mr=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.setOpacity=Te.setOpacity.bind(Te),Te.fillColor=_e.defaultHighlightColor,Te.strokeWidth=0,Te.opacity=_e.defaultHighlightOpacity,Te.fillPanel=new Bt("Color",_e.defaultColorSet,Te.fillColor),Te.fillPanel.onColorChanged=Te.setFillColor,Te.opacityPanel=new fn("Opacity",_e.defaultOpacitySteps,Te.opacity),Te.opacityPanel.onOpacityChanged=Te.setOpacity,Te}return ct(Se,Ze),Se.prototype.setOpacity=function(Ce){this.opacity=Ce,this.visual&&ot.setAttributes(this.visual,[["opacity",this.opacity.toString()]]),this.stateChanged()},Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.fillPanel,this.opacityPanel]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Ze.prototype.getState.call(this);return Ce.typeName=Se.typeName,Ce},Se.typeName="HighlightMarker",Se.title="Highlight marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M18.5 1.15c-.53 0-1.04.19-1.43.58l-5.81 5.82 5.65 5.65 5.82-5.81c.77-.78.77-2.04 0-2.83l-2.84-2.83c-.39-.39-.89-.58-1.39-.58M10.3 8.5l-5.96 5.96c-.78.78-.78 2.04.02 2.85C3.14 18.54 1.9 19.77.67 21h5.66l.86-.86c.78.76 2.03.75 2.81-.02l5.95-5.96"/></svg>',Se}(Ht),ut='<svg viewBox="0 0 24 24"><path d="M9.62 12L12 5.67 14.37 12M11 3L5.5 17h2.25l1.12-3h6.25l1.13 3h2.25L13 3h-2z"/></svg>',Ke='<svg viewBox="0 0 24 24"><path d="M19 11.5s-2 2.17-2 3.5a2 2 0 002 2 2 2 0 002-2c0-1.33-2-3.5-2-3.5M5.21 10L10 5.21 14.79 10m1.77-1.06L7.62 0 6.21 1.41l2.38 2.38-5.15 5.15c-.59.56-.59 1.53 0 2.12l5.5 5.5c.29.29.68.44 1.06.44s.77-.15 1.06-.44l5.5-5.5c.59-.59.59-1.56 0-2.12z"/></svg>',Xn=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.bgColor="transparent",Te.tipPosition={x:0,y:0},Te.tipBase1Position={x:0,y:0},Te.tipBase2Position={x:0,y:0},Te.tipMoving=!1,Te.color=_e.defaultStrokeColor,Te.bgColor=_e.defaultFillColor,Te.fontFamily=_e.defaultFontFamily,Te.defaultSize={x:100,y:30},Te.setBgColor=Te.setBgColor.bind(Te),Te.getTipPoints=Te.getTipPoints.bind(Te),Te.positionTip=Te.positionTip.bind(Te),Te.setTipPoints=Te.setTipPoints.bind(Te),Te.colorPanel=new Bt("Text color",_e.defaultColorSet,Te.color,ut),Te.colorPanel.onColorChanged=Te.setColor,Te.bgColorPanel=new Bt("Fill color",_e.defaultColorSet,Te.bgColor,Ke),Te.bgColorPanel.onColorChanged=Te.setBgColor,Te.fontFamilyPanel=new nn("Font",_e.defaultFontFamilies,_e.defaultFontFamily),Te.fontFamilyPanel.onFontChanged=Te.setFont,Te.tipGrip=new Qt,Te.tipGrip.visual.transform.baseVal.appendItem(ot.createTransform()),Te.controlBox.appendChild(Te.tipGrip.visual),Te}return ct(Se,Ze),Se.prototype.ownsTarget=function(Ce){return Ze.prototype.ownsTarget.call(this,Ce)||this.tipGrip.ownsTarget(Ce)||this.tip===Ce},Se.prototype.createTip=function(){ot.setAttributes(this.bgRectangle,[["fill",this.bgColor],["rx","10px"]]),this.tip=ot.createPolygon(this.getTipPoints(),[["fill",this.bgColor]]),this.visual.appendChild(this.tip)},Se.prototype.pointerDown=function(Ce,Ve){this.state==="new"&&Ze.prototype.pointerDown.call(this,Ce,Ve),this.state==="creating"?this.createTip():this.tipGrip.ownsTarget(Ve)?(this.manipulationStartLeft=this.left,this.manipulationStartTop=this.top,this.tipMoving=!0):Ze.prototype.pointerDown.call(this,Ce,Ve)},Se.prototype.pointerUp=function(Ce){if(this.tipMoving)this.tipMoving=!1,this.isMoved=!0,Ze.prototype.pointerUp.call(this,Ce);else{var Ve=this.state==="creating";Ze.prototype.pointerUp.call(this,Ce),this.setTipPoints(Ve),this.positionTip()}},Se.prototype.manipulate=function(Ce){if(this.tipMoving){var Ve=this.unrotatePoint(Ce);this.tipPosition={x:Ve.x-this.manipulationStartLeft,y:Ve.y-this.manipulationStartTop},this.positionTip()}else Ze.prototype.manipulate.call(this,Ce)},Se.prototype.setBgColor=function(Ce){this.bgRectangle&&this.tip&&(ot.setAttributes(this.bgRectangle,[["fill",Ce]]),ot.setAttributes(this.tip,[["fill",Ce]])),this.bgColor=Ce,this.fillColorChanged(Ce)},Se.prototype.getTipPoints=function(){return this.setTipPoints(this.state==="creating"),this.tipBase1Position.x+","+this.tipBase1Position.y+" "+this.tipBase2Position.x+","+this.tipBase2Position.y+" "+this.tipPosition.x+","+this.tipPosition.y},Se.prototype.setTipPoints=function(Ce){Ce===void 0&&(Ce=!1);var Ve=Math.min(this.height/2,15),_e=this.height/5;Ce&&(this.tipPosition={x:Ve+_e/2,y:this.height+20});var Te=Math.atan(this.height/2/(this.width/2));this.tipPosition.x<this.width/2&&this.tipPosition.y<this.height/2?Te<Math.atan((this.height/2-this.tipPosition.y)/(this.width/2-this.tipPosition.x))?(_e=this.width/5,Ve=Math.min(this.width/2,15),this.tipBase1Position={x:Ve,y:0},this.tipBase2Position={x:Ve+_e,y:0}):(this.tipBase1Position={x:0,y:Ve},this.tipBase2Position={x:0,y:Ve+_e}):this.tipPosition.x>=this.width/2&&this.tipPosition.y<this.height/2?Te<Math.atan((this.height/2-this.tipPosition.y)/(this.tipPosition.x-this.width/2))?(_e=this.width/5,Ve=Math.min(this.width/2,15),this.tipBase1Position={x:this.width-Ve-_e,y:0},this.tipBase2Position={x:this.width-Ve,y:0}):(this.tipBase1Position={x:this.width,y:Ve},this.tipBase2Position={x:this.width,y:Ve+_e}):this.tipPosition.x>=this.width/2&&this.tipPosition.y>=this.height/2?Te<Math.atan((this.tipPosition.y-this.height/2)/(this.tipPosition.x-this.width/2))?(_e=this.width/5,Ve=Math.min(this.width/2,15),this.tipBase1Position={x:this.width-Ve-_e,y:this.height},this.tipBase2Position={x:this.width-Ve,y:this.height}):(this.tipBase1Position={x:this.width,y:this.height-Ve-_e},this.tipBase2Position={x:this.width,y:this.height-Ve}):Te<Math.atan((this.tipPosition.y-this.height/2)/(this.width/2-this.tipPosition.x))?(_e=this.width/5,Ve=Math.min(this.width/2,15),this.tipBase1Position={x:Ve,y:this.height},this.tipBase2Position={x:Ve+_e,y:this.height}):(this.tipBase1Position={x:0,y:this.height-Ve},this.tipBase2Position={x:0,y:this.height-Ve-_e})},Se.prototype.resize=function(Ce){Ze.prototype.resize.call(this,Ce),this.positionTip()},Se.prototype.positionTip=function(){ot.setAttributes(this.tip,[["points",this.getTipPoints()]]);var Ce=this.tipGrip.visual.transform.baseVal.getItem(0);Ce.setTranslate(this.tipPosition.x,this.tipPosition.y),this.tipGrip.visual.transform.baseVal.replaceItem(Ce,0)},Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.colorPanel,this.bgColorPanel,this.fontFamilyPanel]},enumerable:!1,configurable:!0}),Se.prototype.select=function(){this.positionTip(),Ze.prototype.select.call(this)},Se.prototype.getState=function(){var Ce=Object.assign({bgColor:this.bgColor,tipPosition:this.tipPosition},Ze.prototype.getState.call(this));return Ce.typeName=Se.typeName,Ce},Se.prototype.restoreState=function(Ce){var Ve=Ce;this.bgColor=Ve.bgColor,this.tipPosition=Ve.tipPosition,Ze.prototype.restoreState.call(this,Ce),this.createTip(),this.setTipPoints()},Se.prototype.scale=function(Ce,Ve){Ze.prototype.scale.call(this,Ce,Ve),this.tipPosition={x:this.tipPosition.x*Ce,y:this.tipPosition.y*Ve},this.positionTip()},Se.typeName="CalloutMarker",Se.title="Callout marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M4 2h16a2 2 0 012 2v12a2 2 0 01-2 2h-4l-4 4-4-4H4a2 2 0 01-2-2V4a2 2 0 012-2m0 2v12h4.83L12 19.17 15.17 16H20V4H4m2 3h12v2H6V7m0 4h10v2H6v-2z"/></svg>',Se}(vn),kr=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.fillColor="transparent",Te.strokeColor="transparent",Te.strokeWidth=0,Te.strokeDasharray="",Te.opacity=1,Te.strokeColor=_e.defaultColor,Te.strokeWidth=_e.defaultStrokeWidth,Te.strokeDasharray=_e.defaultStrokeDasharray,Te.fillColor=_e.defaultFillColor,Te.setStrokeColor=Te.setStrokeColor.bind(Te),Te.setFillColor=Te.setFillColor.bind(Te),Te.setStrokeWidth=Te.setStrokeWidth.bind(Te),Te.setStrokeDasharray=Te.setStrokeDasharray.bind(Te),Te.setOpacity=Te.setOpacity.bind(Te),Te.createVisual=Te.createVisual.bind(Te),Te.strokePanel=new Bt("Line color",rt(_e.defaultColorSet,["transparent"]),_e.defaultColor),Te.strokePanel.onColorChanged=Te.setStrokeColor,Te.fillPanel=new Bt("Fill color",rt(_e.defaultColorSet,["transparent"]),Te.fillColor,Ke),Te.fillPanel.onColorChanged=Te.setFillColor,Te.strokeWidthPanel=new $n("Line width",_e.defaultStrokeWidths,_e.defaultStrokeWidth),Te.strokeWidthPanel.onWidthChanged=Te.setStrokeWidth,Te.strokeStylePanel=new An("Line style",_e.defaultStrokeDasharrays,_e.defaultStrokeDasharray),Te.strokeStylePanel.onStyleChanged=Te.setStrokeDasharray,Te.opacityPanel=new fn("Opacity",_e.defaultOpacitySteps,Te.opacity),Te.opacityPanel.onOpacityChanged=Te.setOpacity,Te}return ct(Se,Ze),Se.prototype.ownsTarget=function(Ce){return!(!Ze.prototype.ownsTarget.call(this,Ce)&&Ce!==this.visual)},Se.prototype.createVisual=function(){this.visual=ot.createEllipse(this.width/2,this.height/2,[["fill",this.fillColor],["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()],["stroke-dasharray",this.strokeDasharray],["opacity",this.opacity.toString()]]),this.addMarkerVisualToContainer(this.visual)},Se.prototype.pointerDown=function(Ce,Ve){Ze.prototype.pointerDown.call(this,Ce,Ve),this.state==="new"&&(this.createVisual(),this.moveVisual(Ce),this._state="creating")},Se.prototype.manipulate=function(Ce){Ze.prototype.manipulate.call(this,Ce)},Se.prototype.resize=function(Ce){Ze.prototype.resize.call(this,Ce),this.setSize()},Se.prototype.setSize=function(){Ze.prototype.setSize.call(this),ot.setAttributes(this.visual,[["cx",(this.width/2).toString()],["cy",(this.height/2).toString()],["rx",(this.width/2).toString()],["ry",(this.height/2).toString()]])},Se.prototype.pointerUp=function(Ce){Ze.prototype.pointerUp.call(this,Ce),this.setSize()},Se.prototype.setStrokeColor=function(Ce){this.strokeColor=Ce,this.visual&&ot.setAttributes(this.visual,[["stroke",this.strokeColor]]),this.colorChanged(Ce),this.stateChanged()},Se.prototype.setFillColor=function(Ce){this.fillColor=Ce,this.visual&&ot.setAttributes(this.visual,[["fill",this.fillColor]]),this.fillColorChanged(Ce),this.stateChanged()},Se.prototype.setStrokeWidth=function(Ce){this.strokeWidth=Ce,this.visual&&ot.setAttributes(this.visual,[["stroke-width",this.strokeWidth.toString()]]),this.stateChanged()},Se.prototype.setStrokeDasharray=function(Ce){this.strokeDasharray=Ce,this.visual&&ot.setAttributes(this.visual,[["stroke-dasharray",this.strokeDasharray]]),this.stateChanged()},Se.prototype.setOpacity=function(Ce){this.opacity=Ce,this.visual&&ot.setAttributes(this.visual,[["opacity",this.opacity.toString()]]),this.stateChanged()},Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.fillPanel,this.strokeWidthPanel,this.strokeStylePanel,this.opacityPanel]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Object.assign({fillColor:this.fillColor,strokeColor:this.strokeColor,strokeWidth:this.strokeWidth,strokeDasharray:this.strokeDasharray,opacity:this.opacity},Ze.prototype.getState.call(this));return Ce.typeName=Se.typeName,Ce},Se.prototype.restoreState=function(Ce){var Ve=Ce;this.fillColor=Ve.fillColor,this.strokeColor=Ve.strokeColor,this.strokeWidth=Ve.strokeWidth,this.strokeDasharray=Ve.strokeDasharray,this.opacity=Ve.opacity,this.createVisual(),Ze.prototype.restoreState.call(this,Ce),this.setSize()},Se.prototype.scale=function(Ce,Ve){Ze.prototype.scale.call(this,Ce,Ve),this.setSize()},Se.typeName="EllipseMarker",Se.title="Ellipse marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M12 4C6.5 4 2 7.58 2 12s4.5 8 10 8 10-3.58 10-8-4.5-8-10-8z"/></svg>',Se}(Qe),Tr=function(Ze){function Se(Ce,Ve,_e){return Ze.call(this,Ce,Ve,_e)||this}return ct(Se,Ze),Object.defineProperty(Se.prototype,"tipLength",{get:function(){return 10+3*this.strokeWidth},enumerable:!1,configurable:!0}),Se.prototype.ownsTarget=function(Ce){return!(!Ze.prototype.ownsTarget.call(this,Ce)&&Ce!==this.tip1&&Ce!==this.tip2)},Se.prototype.createTips=function(){this.tip1=ot.createLine(this.x1-this.tipLength/2,this.y1,this.x1+this.tipLength/2,this.y1,[["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()]]),this.tip1.transform.baseVal.appendItem(ot.createTransform()),this.visual.appendChild(this.tip1),this.tip2=ot.createLine(this.x2-this.tipLength/2,this.y2,this.x2+this.tipLength/2,this.y2,[["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()]]),this.tip2.transform.baseVal.appendItem(ot.createTransform()),this.visual.appendChild(this.tip2)},Se.prototype.pointerDown=function(Ce,Ve){Ze.prototype.pointerDown.call(this,Ce,Ve),this.state==="creating"&&this.createTips()},Se.prototype.adjustVisual=function(){if(Ze.prototype.adjustVisual.call(this),this.tip1&&this.tip2&&(ot.setAttributes(this.tip1,[["x1",(this.x1-this.tipLength/2).toString()],["y1",this.y1.toString()],["x2",(this.x1+this.tipLength/2).toString()],["y2",this.y1.toString()],["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()]]),ot.setAttributes(this.tip2,[["x1",(this.x2-this.tipLength/2).toString()],["y1",this.y2.toString()],["x2",(this.x2+this.tipLength/2).toString()],["y2",this.y2.toString()],["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()]]),Math.abs(this.x1-this.x2)>.1)){var Ce=180*Math.atan((this.y2-this.y1)/(this.x2-this.x1))/Math.PI+90*Math.sign(this.x1-this.x2),Ve=this.tip1.transform.baseVal.getItem(0);Ve.setRotate(Ce,this.x1,this.y1),this.tip1.transform.baseVal.replaceItem(Ve,0);var _e=this.tip2.transform.baseVal.getItem(0);_e.setRotate(Ce+180,this.x2,this.y2),this.tip2.transform.baseVal.replaceItem(_e,0)}},Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Ze.prototype.getState.call(this);return Ce.typeName=Se.typeName,Ce},Se.prototype.restoreState=function(Ce){Ze.prototype.restoreState.call(this,Ce),this.createTips(),this.adjustVisual()},Se.typeName="MeasurementMarker",Se.title="Measurement marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M1.39 18.36l1.77-1.76L4.58 18l1.06-1.05-1.42-1.41 1.42-1.42 2.47 2.48 1.06-1.06-2.47-2.48 1.41-1.41 1.42 1.41L10.59 12l-1.42-1.41 1.42-1.42 2.47 2.48 1.06-1.06-2.47-2.48 1.41-1.41 1.41 1.41 1.07-1.06-1.42-1.41 1.42-1.42L18 6.7l1.07-1.06-2.47-2.48 1.76-1.77 4.25 4.25L5.64 22.61l-4.25-4.25z"/></svg>',Se}(Dn),wt=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.strokePanel.colors=_e.defaultColorSet,Te.fillColor="transparent",Te}return ct(Se,Ze),Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Ze.prototype.getState.call(this);return Ce.typeName=Se.typeName,Ce},Se.typeName="EllipseFrameMarker",Se.title="Ellipse frame marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M12 6c4.41 0 8 2.69 8 6s-3.59 6-8 6-8-2.69-8-6 3.59-6 8-6m0-2C6.5 4 2 7.58 2 12s4.5 8 10 8 10-3.58 10-8-4.5-8-10-8z"/></svg>',Se}(kr),zt=function(){function Ze(){this.undoStack=[],this.redoStack=[]}return Object.defineProperty(Ze.prototype,"isUndoPossible",{get:function(){return this.undoStack.length>0},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"isRedoPossible",{get:function(){return this.redoStack.length>0},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"undoStepCount",{get:function(){return this.undoStack.length},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"redoStepCount",{get:function(){return this.redoStack.length},enumerable:!1,configurable:!0}),Ze.prototype.addUndoStep=function(Se){this.undoStack.length!==0&&JSON.stringify(this.undoStack[this.undoStack.length-1])===JSON.stringify(Se)||(this.undoStack.push(Se),JSON.stringify(this.lastRedoStep)!==JSON.stringify(Se)&&this.redoStack.splice(0,this.redoStack.length))},Ze.prototype.replaceLastUndoStep=function(Se){this.undoStack.length>0&&(this.undoStack[this.undoStack.length-1]=Se)},Ze.prototype.getLastUndoStep=function(){return this.undoStack.length>0?this.undoStack[this.undoStack.length-1]:void 0},Ze.prototype.undo=function(){if(this.undoStack.length>1){var Se=this.undoStack.pop();return Se!==void 0&&this.redoStack.push(Se),this.undoStack.length>0?this.undoStack[this.undoStack.length-1]:void 0}},Ze.prototype.redo=function(){return this.lastRedoStep=this.redoStack.pop(),this.lastRedoStep},Ze}(),Mn=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.strokeColor="transparent",Te.strokeWidth=0,Te.strokeDasharray="",Te.curveX=0,Te.curveY=0,Te.manipulationStartCurveX=0,Te.manipulationStartCurveY=0,Te.setStrokeColor=Te.setStrokeColor.bind(Te),Te.setStrokeWidth=Te.setStrokeWidth.bind(Te),Te.setStrokeDasharray=Te.setStrokeDasharray.bind(Te),Te.positionGrips=Te.positionGrips.bind(Te),Te.addControlGrips=Te.addControlGrips.bind(Te),Te.adjustVisual=Te.adjustVisual.bind(Te),Te.setupControlBox=Te.setupControlBox.bind(Te),Te.resize=Te.resize.bind(Te),Te.strokeColor=_e.defaultColor,Te.strokeWidth=_e.defaultStrokeWidth,Te.strokeDasharray=_e.defaultStrokeDasharray,Te.strokePanel=new Bt("Line color",_e.defaultColorSet,_e.defaultColor),Te.strokePanel.onColorChanged=Te.setStrokeColor,Te.strokeWidthPanel=new $n("Line width",_e.defaultStrokeWidths,_e.defaultStrokeWidth),Te.strokeWidthPanel.onWidthChanged=Te.setStrokeWidth,Te.strokeStylePanel=new An("Line style",_e.defaultStrokeDasharrays,_e.defaultStrokeDasharray),Te.strokeStylePanel.onStyleChanged=Te.setStrokeDasharray,Te}return ct(Se,Ze),Se.prototype.ownsTarget=function(Ce){return!(!Ze.prototype.ownsTarget.call(this,Ce)&&Ce!==this.visual&&Ce!==this.selectorCurve&&Ce!==this.visibleCurve&&!this.curveGrip.ownsTarget(Ce))},Se.prototype.getPathD=function(){return"M "+this.x1+" "+this.y1+" Q "+this.curveX+" "+this.curveY+", "+this.x2+" "+this.y2},Se.prototype.createVisual=function(){this.visual=ot.createGroup(),this.selectorCurve=ot.createPath(this.getPathD(),[["stroke","transparent"],["stroke-width",(this.strokeWidth+10).toString()],["fill","transparent"]]),this.visibleCurve=ot.createPath(this.getPathD(),[["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()],["fill","transparent"]]),this.visual.appendChild(this.selectorCurve),this.visual.appendChild(this.visibleCurve),this.addMarkerVisualToContainer(this.visual)},Se.prototype.pointerDown=function(Ce,Ve){Ze.prototype.pointerDown.call(this,Ce,Ve),this.manipulationStartCurveX=this.curveX,this.manipulationStartCurveY=this.curveY,this.state==="new"&&(this.curveX=Ce.x,this.curveY=Ce.y),this.state==="new"?(this.createVisual(),this.adjustVisual(),this._state="creating"):this.curveGrip.ownsTarget(Ve)&&(this.activeGrip=this.curveGrip,this._state="resize")},Se.prototype.adjustVisual=function(){this.selectorCurve&&this.visibleCurve&&(this.selectorCurve.setAttribute("d",this.getPathD()),this.visibleCurve.setAttribute("d",this.getPathD()),ot.setAttributes(this.visibleCurve,[["stroke",this.strokeColor]]),ot.setAttributes(this.visibleCurve,[["stroke-width",this.strokeWidth.toString()]]),ot.setAttributes(this.visibleCurve,[["stroke-dasharray",this.strokeDasharray.toString()]]))},Se.prototype.setupControlBox=function(){Ze.prototype.setupControlBox.call(this),this.curveControlLine1=ot.createLine(this.x1,this.y1,this.curveX,this.curveY,[["stroke","black"],["stroke-width","1"],["stroke-opacity","0.5"],["stroke-dasharray","3, 2"]]),this.curveControlLine2=ot.createLine(this.x2,this.y2,this.curveX,this.curveY,[["stroke","black"],["stroke-width","1"],["stroke-opacity","0.5"],["stroke-dasharray","3, 2"]]),this.controlBox.insertBefore(this.curveControlLine1,this.controlBox.firstChild),this.controlBox.insertBefore(this.curveControlLine2,this.controlBox.firstChild)},Se.prototype.addControlGrips=function(){this.curveGrip=this.createGrip(),this.curveX=0,this.curveY=0,Ze.prototype.addControlGrips.call(this)},Se.prototype.positionGrips=function(){Ze.prototype.positionGrips.call(this);var Ce=this.curveGrip.GRIP_SIZE;this.positionGrip(this.curveGrip.visual,this.curveX-Ce/2,this.curveY-Ce/2),this.curveControlLine1&&this.curveControlLine2&&(this.curveControlLine1.setAttribute("x1",this.x1.toString()),this.curveControlLine1.setAttribute("y1",this.y1.toString()),this.curveControlLine1.setAttribute("x2",this.curveX.toString()),this.curveControlLine1.setAttribute("y2",this.curveY.toString()),this.curveControlLine2.setAttribute("x1",this.x2.toString()),this.curveControlLine2.setAttribute("y1",this.y2.toString()),this.curveControlLine2.setAttribute("x2",this.curveX.toString()),this.curveControlLine2.setAttribute("y2",this.curveY.toString()))},Se.prototype.manipulate=function(Ce){this.state==="move"&&(this.curveX=this.manipulationStartCurveX+Ce.x-this.manipulationStartX,this.curveY=this.manipulationStartCurveY+Ce.y-this.manipulationStartY),Ze.prototype.manipulate.call(this,Ce)},Se.prototype.resize=function(Ce){this.activeGrip===this.curveGrip&&(this.curveX=Ce.x,this.curveY=Ce.y),Ze.prototype.resize.call(this,Ce),this.state==="creating"&&(this.curveX=this.x1+(this.x2-this.x1)/2,this.curveY=this.y1+(this.y2-this.y1)/2)},Se.prototype.setStrokeColor=function(Ce){this.strokeColor=Ce,this.adjustVisual(),this.colorChanged(Ce)},Se.prototype.setStrokeWidth=function(Ce){this.strokeWidth=Ce,this.adjustVisual()},Se.prototype.setStrokeDasharray=function(Ce){this.strokeDasharray=Ce,this.adjustVisual()},Se.prototype.scale=function(Ce,Ve){this.curveX=this.curveX*Ce,this.curveY=this.curveY*Ve,Ze.prototype.scale.call(this,Ce,Ve)},Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Object.assign({strokeColor:this.strokeColor,strokeWidth:this.strokeWidth,strokeDasharray:this.strokeDasharray,curveX:this.curveX,curveY:this.curveY},Ze.prototype.getState.call(this));return Ce.typeName=Se.typeName,Ce},Se.prototype.restoreState=function(Ce){Ze.prototype.restoreState.call(this,Ce);var Ve=Ce;this.strokeColor=Ve.strokeColor,this.strokeWidth=Ve.strokeWidth,this.strokeDasharray=Ve.strokeDasharray,this.curveX=Ve.curveX,this.curveY=Ve.curveY,this.createVisual(),this.adjustVisual()},Se.typeName="CurveMarker",Se.title="Curve marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M18.5 2A1.5 1.5 0 0120 3.5 1.5 1.5 0 0118.5 5c-.23 0-.45-.05-.65-.15l-3.69 3.7.34.45c2.19-1.26 4.76-2 7.5-2l1 .03v2.01L22 9c-2.58 0-5 .75-7 2.04A3.96 3.96 0 0111.04 15C9.75 17 9 19.42 9 22l.04 1H7.03L7 22c0-2.74.74-5.31 2-7.5l-.45-.34-3.7 3.69c.1.2.15.42.15.65A1.5 1.5 0 013.5 20 1.5 1.5 0 012 18.5 1.5 1.5 0 013.5 17c.23 0 .45.05.65.15l3.69-3.7C7.31 12.78 7 11.92 7 11a4 4 0 014-4c.92 0 1.78.31 2.45.84l3.7-3.69c-.1-.2-.15-.42-.15-.65A1.5 1.5 0 0118.5 2M11 9a2 2 0 00-2 2 2 2 0 002 2 2 2 0 002-2 2 2 0 00-2-2z"/></svg>',Se}($t),yr=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,Ve,_e)||this;return Te.fillColor="transparent",Te.strokeColor="transparent",Te.strokeWidth=0,Te.strokeDasharray="",Te.textColor="transparent",Te.fontSize="1rem",Te.isMoved=!1,Te.captionText="Caption",Te.PADDING=5,Te.captionBoxWidth=0,Te.captionBoxHeight=0,Te.strokeColor=_e.defaultColor,Te.strokeWidth=_e.defaultStrokeWidth,Te.strokeDasharray=_e.defaultStrokeDasharray,Te.fillColor=_e.defaultFillColor,Te.textColor=_e.defaultStrokeColor,Te.fontFamily=_e.defaultFontFamily,Te.fontSize=_e.defaultCaptionFontSize,Te.captionText=_e.defaultCaptionText,Te.setStrokeColor=Te.setStrokeColor.bind(Te),Te.setFillColor=Te.setFillColor.bind(Te),Te.setStrokeWidth=Te.setStrokeWidth.bind(Te),Te.setStrokeDasharray=Te.setStrokeDasharray.bind(Te),Te.createVisual=Te.createVisual.bind(Te),Te.sizeCaption=Te.sizeCaption.bind(Te),Te.setCaptionText=Te.setCaptionText.bind(Te),Te.showTextEditor=Te.showTextEditor.bind(Te),Te.positionTextEditor=Te.positionTextEditor.bind(Te),Te.finishTextEditing=Te.finishTextEditing.bind(Te),Te.setFont=Te.setFont.bind(Te),Te.setTextColor=Te.setTextColor.bind(Te),Te.strokePanel=new Bt("Line color",rt(_e.defaultColorSet,["transparent"]),Te.strokeColor),Te.strokePanel.onColorChanged=Te.setStrokeColor,Te.fillPanel=new Bt("Fill color",rt(_e.defaultColorSet,["transparent"]),Te.fillColor,Ke),Te.fillPanel.onColorChanged=Te.setFillColor,Te.strokeWidthPanel=new $n("Line width",_e.defaultStrokeWidths,_e.defaultStrokeWidth),Te.strokeWidthPanel.onWidthChanged=Te.setStrokeWidth,Te.strokeStylePanel=new An("Line style",_e.defaultStrokeDasharrays,_e.defaultStrokeDasharray),Te.strokeStylePanel.onStyleChanged=Te.setStrokeDasharray,Te.fontFamilyPanel=new nn("Font",_e.defaultFontFamilies,_e.defaultFontFamily),Te.fontFamilyPanel.onFontChanged=Te.setFont,Te.textColorPanel=new Bt("Text color",_e.defaultColorSet,Te.textColor,ut),Te.textColorPanel.onColorChanged=Te.setTextColor,Te}return ct(Se,Ze),Se.prototype.ownsTarget=function(Ce){return!(!Ze.prototype.ownsTarget.call(this,Ce)&&Ce!==this.visual&&Ce!==this.frame&&Ce!==this.captionBg&&Ce!==this.captionElement)},Se.prototype.createVisual=function(){this.visual=ot.createGroup(),this.addMarkerVisualToContainer(this.visual),this.captionBg=ot.createRect(1,1,[["fill",this.fillColor]]),this.visual.appendChild(this.captionBg),this.captionElement=ot.createText([["fill",this.textColor],["font-family",this.fontFamily]]),this.captionElement.style.fontSize=this.fontSize,this.captionElement.style.textAnchor="start",this.captionElement.style.dominantBaseline="text-before-edge",this.captionElement.textContent=this.captionText,this.visual.appendChild(this.captionElement),this.frame=ot.createRect(this.width,this.height,[["fill","transparent"],["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()],["stroke-dasharray",this.strokeDasharray]]),this.visual.appendChild(this.frame),this.sizeCaption()},Se.prototype.setCaptionText=function(Ce){this.captionText=Ce,this.captionElement.textContent=this.captionText,this.sizeCaption()},Se.prototype.pointerDown=function(Ce,Ve){Ze.prototype.pointerDown.call(this,Ce,Ve),this.isMoved=!1,this.pointerDownPoint=Ce,this.pointerDownTimestamp=Date.now(),this.state==="new"&&(this.createVisual(),this.moveVisual(Ce),this._state="creating")},Se.prototype.manipulate=function(Ce){Ze.prototype.manipulate.call(this,Ce),this.pointerDownPoint!==void 0&&(this.isMoved=Math.abs(Ce.x-this.pointerDownPoint.x)>5||Math.abs(Ce.y-this.pointerDownPoint.y)>5)},Se.prototype.resize=function(Ce){Ze.prototype.resize.call(this,Ce),this.setSize()},Se.prototype.sizeCaption=function(){var Ce=this.captionElement.getBBox();this.captionText.trim()!==""?(this.captionBoxWidth=Ce.width+2*this.PADDING,this.captionBoxHeight=Ce.height+2*this.PADDING):(this.captionBoxWidth=0,this.captionBoxHeight=0),ot.setAttributes(this.captionBg,[["width",this.captionBoxWidth.toString()],["height",this.captionBoxHeight.toString()],["clip-path","path('M0,0 H"+this.width+" V"+this.height+" H"+-this.width+" Z')"]]),ot.setAttributes(this.captionElement,[["x",this.PADDING.toString()],["y",this.PADDING.toString()],["clip-path","path('M0,0 H"+(this.width-this.PADDING)+" V"+this.height+" H"+(-this.width-this.PADDING)+" Z')"]])},Se.prototype.showTextEditor=function(){var Ce=this;this._state="edit",this.overlayContainer.innerHTML="",this.textEditDiv=document.createElement("div"),this.textEditDiv.style.flexGrow="2",this.textEditDiv.style.alignItems="center",this.textEditDiv.style.justifyContent="center",this.textEditDiv.style.pointerEvents="auto",this.textEditDiv.style.overflow="hidden",this.textEditBox=document.createElement("input"),this.textEditBox.style.position="absolute",this.textEditBox.style.width=this.width+"px",this.captionBoxHeight>0&&(this.textEditBox.style.height=this.captionBoxHeight+"px"),this.textEditBox.style.fontSize=this.fontSize,this.textEditBox.style.fontFamily=this.fontFamily,this.textEditBox.style.backgroundColor=this.fillColor,this.textEditBox.style.color=this.textColor,this.textEditBox.style.borderWidth="0",this.textEditBox.setAttribute("value",this.captionText),this.textEditBox.select(),this.textEditDiv.appendChild(this.textEditBox),this.overlayContainer.appendChild(this.textEditDiv),this.textEditBox.addEventListener("pointerup",function(Ve){Ve.stopPropagation()}),this.textEditBox.addEventListener("keypress",function(Ve){Ve.key==="Enter"&&Ce.finishTextEditing(Ce.textEditBox.value)}),this.textEditBox.addEventListener("keyup",function(Ve){Ve.cancelBubble=!0}),this.textEditBox.addEventListener("blur",function(){Ce.finishTextEditing(Ce.textEditBox.value)}),this.textEditDiv.addEventListener("pointerup",function(){Ce.finishTextEditing(Ce.textEditBox.value)}),this.positionTextEditor(),this.textEditBox.focus()},Se.prototype.positionTextEditor=function(){this.state==="edit"&&(this.textEditBox===void 0?this.showTextEditor():(this.textEditBox.style.left=this.left+"px",this.textEditBox.style.top=this.top+"px",this.textEditBox.style.transform="rotate("+this.rotationAngle+"deg)",this.textEditBox.style.transformOrigin=this.width/2+"px "+this.height/2+"px"))},Se.prototype.finishTextEditing=function(Ce){this.setCaptionText(Ce.trim()),this.overlayContainer.innerHTML="",this.stateChanged()},Se.prototype.setFont=function(Ce){this.captionElement&&ot.setAttributes(this.captionElement,[["font-family",Ce]]),this.fontFamily=Ce,this.textEditBox&&(this.textEditBox.style.fontFamily=this.fontFamily),this.sizeCaption(),this.stateChanged()},Se.prototype.setTextColor=function(Ce){this.captionElement&&ot.setAttributes(this.captionElement,[["fill",Ce]]),this.textColor=Ce,this.textEditBox&&(this.textEditBox.style.color=this.textColor),this.stateChanged()},Se.prototype.setSize=function(){Ze.prototype.setSize.call(this),ot.setAttributes(this.frame,[["width",this.width.toString()],["height",this.height.toString()]]),this.sizeCaption()},Se.prototype.pointerUp=function(Ce){Ze.prototype.pointerUp.call(this,Ce),this.setSize(),!this.isMoved&&Date.now()-this.pointerDownTimestamp>500&&this.showTextEditor(),this.pointerDownPoint=void 0},Se.prototype.dblClick=function(Ce,Ve){Ze.prototype.dblClick.call(this,Ce,Ve),this.showTextEditor()},Se.prototype.setStrokeColor=function(Ce){this.strokeColor=Ce,this.frame&&ot.setAttributes(this.frame,[["stroke",this.strokeColor]]),this.colorChanged(Ce),this.stateChanged()},Se.prototype.setFillColor=function(Ce){this.fillColor=Ce,this.captionBg&&ot.setAttributes(this.captionBg,[["fill",this.fillColor]]),this.fillColorChanged(Ce),this.stateChanged()},Se.prototype.setStrokeWidth=function(Ce){this.strokeWidth=Ce,this.frame&&ot.setAttributes(this.frame,[["stroke-width",this.strokeWidth.toString()]]),this.stateChanged()},Se.prototype.setStrokeDasharray=function(Ce){this.strokeDasharray=Ce,this.frame&&ot.setAttributes(this.frame,[["stroke-dasharray",this.strokeDasharray]]),this.stateChanged()},Object.defineProperty(Se.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.fillPanel,this.strokeWidthPanel,this.strokeStylePanel,this.fontFamilyPanel,this.textColorPanel]},enumerable:!1,configurable:!0}),Se.prototype.getState=function(){var Ce=Object.assign({fillColor:this.fillColor,strokeColor:this.strokeColor,strokeWidth:this.strokeWidth,strokeDasharray:this.strokeDasharray,opacity:1,textColor:this.textColor,fontFamily:this.fontFamily,fontSize:this.fontSize,captionText:this.captionText},Ze.prototype.getState.call(this));return Ce.typeName=this.typeName,Ce},Se.prototype.restoreState=function(Ce){var Ve=Ce;this.fillColor=Ve.fillColor,this.strokeColor=Ve.strokeColor,this.strokeWidth=Ve.strokeWidth,this.strokeDasharray=Ve.strokeDasharray,this.textColor=Ve.textColor,this.fontFamily=Ve.fontFamily,this.captionText=Ve.captionText,this.fontSize=Ve.fontSize,this.createVisual(),Ze.prototype.restoreState.call(this,Ce),this.setSize()},Se.prototype.scale=function(Ce,Ve){Ze.prototype.scale.call(this,Ce,Ve),this.setSize()},Se.typeName="CaptionFrameMarker",Se.title="Caption frame marker",Se.icon='<svg viewBox="0 0 24 24"><path d="M5 3c-1.11 0-2 .89-2 2v14c0 1.11.89 2 2 2h14c1.11 0 2-.89 2-2V5c0-1.11-.89-2-2-2H5m0 2h14v14H5V5m2 2v2h10V7H7z"/></svg>',Se}(Qe),Fn=function(){function Ze(Se,Ce){Ce===void 0&&(Ce=!1),this.cancelable=!1,this._defaultPrevented=!1,this.markerArea=Se,this.cancelable=Ce}return Object.defineProperty(Ze.prototype,"defaultPrevented",{get:function(){return this._defaultPrevented},enumerable:!1,configurable:!0}),Ze.prototype.preventDefault=function(){this._defaultPrevented=!0},Ze}(),tn=function(Ze){function Se(Ce,Ve,_e){var Te=Ze.call(this,Ce,!1)||this;return Te.dataUrl=Ve,Te.state=_e,Te}return ct(Se,Ze),Se}(Fn),Jn=function(Ze){function Se(Ce,Ve,_e){_e===void 0&&(_e=!1);var Te=Ze.call(this,Ce,_e)||this;return Te.marker=Ve,Te}return ct(Se,Ze),Se}(Fn),Ir=function(){function Ze(){this.render=[],this.beforeclose=[],this.close=[],this.show=[],this.restorestate=[],this.statechange=[],this.markerselect=[],this.markerdeselect=[],this.markercreating=[],this.markercreate=[],this.markerbeforedelete=[],this.markerdelete=[],this.markerchange=[],this.focus=[],this.blur=[]}return Ze.prototype.addEventListener=function(Se,Ce){this[Se].push(Ce)},Ze.prototype.removeEventListener=function(Se,Ce){var Ve=this[Se].indexOf(Ce);Ve>-1&&this[Se].splice(Ve,1)},Ze}(),xs=function(){function Ze(Se){this.touchPoints=0,this._availableMarkerTypes=this.DEFAULT_MARKER_TYPES,this.mode="select",this.markers=[],this.isDragging=!1,this.renderEventListeners=[],this.closeEventListeners=[],this.settings=new Kt,this._isOpen=!1,this.undoRedoManager=new zt,this.renderAtNaturalSize=!1,this.renderImageType="image/png",this.renderMarkersOnly=!1,this.zoomSteps=[1,1.5,2,4],this._zoomLevel=1,this._isResizing=!1,this.prevPanPoint={x:0,y:0},this.eventListeners=new Ir,this._silentRenderMode=!1,this._isFocused=!1,this._instanceNo=Ze.instanceCounter++,this.styles=new St(this.instanceNo),this.uiStyleSettings=this.styles.settings,this.target=Se,this.targetRoot=document.body,this.width=Se.clientWidth,this.height=Se.clientHeight,this.styles.removeStyleSheet(),this.open=this.open.bind(this),this.setTopLeft=this.setTopLeft.bind(this),this.toolbarButtonClicked=this.toolbarButtonClicked.bind(this),this.createNewMarker=this.createNewMarker.bind(this),this.addNewMarker=this.addNewMarker.bind(this),this.markerCreated=this.markerCreated.bind(this),this.setCurrentMarker=this.setCurrentMarker.bind(this),this.onPointerDown=this.onPointerDown.bind(this),this.onDblClick=this.onDblClick.bind(this),this.onPointerMove=this.onPointerMove.bind(this),this.onPointerUp=this.onPointerUp.bind(this),this.onPointerOut=this.onPointerOut.bind(this),this.onKeyUp=this.onKeyUp.bind(this),this.overrideOverflow=this.overrideOverflow.bind(this),this.restoreOverflow=this.restoreOverflow.bind(this),this.close=this.close.bind(this),this.closeUI=this.closeUI.bind(this),this.addCloseEventListener=this.addCloseEventListener.bind(this),this.removeCloseEventListener=this.removeCloseEventListener.bind(this),this.addRenderEventListener=this.addRenderEventListener.bind(this),this.removeRenderEventListener=this.removeRenderEventListener.bind(this),this.clientToLocalCoordinates=this.clientToLocalCoordinates.bind(this),this.onWindowResize=this.onWindowResize.bind(this),this.deleteSelectedMarker=this.deleteSelectedMarker.bind(this),this.setWindowHeight=this.setWindowHeight.bind(this),this.removeMarker=this.removeMarker.bind(this),this.colorChanged=this.colorChanged.bind(this),this.fillColorChanged=this.fillColorChanged.bind(this),this.onPopupTargetResize=this.onPopupTargetResize.bind(this),this.showNotesEditor=this.showNotesEditor.bind(this),this.hideNotesEditor=this.hideNotesEditor.bind(this),this.stepZoom=this.stepZoom.bind(this),this.focus=this.focus.bind(this),this.blur=this.blur.bind(this),this.markerStateChanged=this.markerStateChanged.bind(this),this.switchToSelectMode=this.switchToSelectMode.bind(this),this.addDefs=this.addDefs.bind(this),this.addDefsToImage=this.addDefsToImage.bind(this)}return Object.defineProperty(Ze.prototype,"ALL_MARKER_TYPES",{get:function(){return[hr,dn,rr,vn,wt,kr,Mr,Xn,Tr,Ht,Dn,Mn,yr]},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"DEFAULT_MARKER_TYPES",{get:function(){return[hr,dn,rr,vn,kr,Mr,Xn]},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"BASIC_MARKER_TYPES",{get:function(){return[hr,dn,rr,vn,Mr]},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"availableMarkerTypes",{get:function(){return this._availableMarkerTypes},set:function(Se){var Ce=this;this._availableMarkerTypes.splice(0),Se.forEach(function(Ve){if(typeof Ve=="string"){var _e=Ce.ALL_MARKER_TYPES.find(function(Te){return Te.typeName===Ve});_e!==void 0&&Ce._availableMarkerTypes.push(_e)}else Ce._availableMarkerTypes.push(Ve)})},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"currentMarker",{get:function(){return this._currentMarker},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"isOpen",{get:function(){return this._isOpen},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"isUndoPossible",{get:function(){return!(!this.undoRedoManager||!this.undoRedoManager.isUndoPossible)},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"isRedoPossible",{get:function(){return!(!this.undoRedoManager||!this.undoRedoManager.isRedoPossible)},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"zoomLevel",{get:function(){return this._zoomLevel},set:function(Se){this._zoomLevel=Se,this.editorCanvas&&this.contentDiv&&(this.editorCanvas.style.transform="scale("+this._zoomLevel+")",this.contentDiv.scrollTo({left:(this.editorCanvas.clientWidth*this._zoomLevel-this.contentDiv.clientWidth)/2,top:(this.editorCanvas.clientHeight*this._zoomLevel-this.contentDiv.clientHeight)/2}))},enumerable:!1,configurable:!0}),Object.defineProperty(Ze.prototype,"instanceNo",{get:function(){return this._instanceNo},enumerable:!1,configurable:!0}),Ze.prototype.open=function(){this.setupResizeObserver(),this.setEditingTarget(),this.setTopLeft(),this.initMarkerCanvas(),this.initOverlay(),this.attachEvents(),this.settings.displayMode==="popup"&&this.onPopupTargetResize(),at.isLicensed||this.addLogo(),this._isOpen=!0,this._isFocused=!0},Ze.prototype.show=function(){var Se=this;this.styles.styleSheetRoot===void 0&&Ct.styleSheetRoot!==void 0&&(this.styles.styleSheetRoot=Ct.styleSheetRoot),this.setWindowHeight(),this.showUI(),this.open(),this.eventListeners.show.forEach(function(Ce){return Ce(new Fn(Se))})},Ze.prototype.render=function(){return mt(this,void 0,void 0,function(){var Se;return Tt(this,function(Ce){switch(Ce.label){case 0:return this.setCurrentMarker(),(Se=new dt).naturalSize=this.renderAtNaturalSize,Se.imageType=this.renderImageType,Se.imageQuality=this.renderImageQuality,Se.markersOnly=this.renderMarkersOnly,Se.width=this.renderWidth,Se.height=this.renderHeight,[4,Se.rasterize(this.target instanceof HTMLImageElement?this.target:null,this.markerImage,this.renderTarget)];case 1:return Ce.sent(),[4,Se.rasterize(this.target instanceof HTMLImageElement?this.target:null,this.markerImage,this.renderTarget)];case 2:return[2,Ce.sent()]}})})},Ze.prototype.close=function(Se){var Ce=this;if(Se===void 0&&(Se=!1),this.isOpen){var Ve=!1;Se||this.eventListeners.beforeclose.forEach(function(_e){var Te=new Fn(Ce,!0);_e(Te),Te.defaultPrevented&&(Ve=!0)}),Ve||(this.coverDiv&&this.closeUI(),this.targetObserver&&(this.targetObserver.unobserve(this.target),this.targetObserver.unobserve(this.editorCanvas)),this.settings.displayMode==="popup"&&window.removeEventListener("resize",this.setWindowHeight),this.eventListeners.close.forEach(function(_e){return _e(new Fn(Ce))}),this.detachEvents(),this._isOpen=!1)}},Ze.prototype.addMarkersToToolbar=function(){for(var Se,Ce=[],Ve=0;Ve<arguments.length;Ve++)Ce[Ve]=arguments[Ve];(Se=this._availableMarkerTypes).push.apply(Se,Ce)},Ze.prototype.addRenderEventListener=function(Se){this.addEventListener("render",function(Ce){Se(Ce.dataUrl,Ce.state)})},Ze.prototype.removeRenderEventListener=function(Se){},Ze.prototype.addCloseEventListener=function(Se){this.addEventListener("close",function(){Se()})},Ze.prototype.removeCloseEventListener=function(Se){},Ze.prototype.setupResizeObserver=function(){var Se=this;this.settings.displayMode==="inline"?window.ResizeObserver&&(this.targetObserver=new ResizeObserver(function(){Se.resize(Se.target.clientWidth,Se.target.clientHeight)}),this.targetObserver.observe(this.target)):this.settings.displayMode==="popup"&&(window.ResizeObserver&&(this.targetObserver=new ResizeObserver(function(){return Se.onPopupTargetResize()}),this.targetObserver.observe(this.editorCanvas)),window.addEventListener("resize",this.setWindowHeight))},Ze.prototype.onPopupTargetResize=function(){var Se=1*this.target.clientWidth/this.target.clientHeight,Ce=this.editorCanvas.clientWidth/Se>this.editorCanvas.clientHeight?this.editorCanvas.clientHeight*Se:this.editorCanvas.clientWidth,Ve=Ce<this.editorCanvas.clientWidth?this.editorCanvas.clientHeight:this.editorCanvas.clientWidth/Se;this.resize(Ce,Ve)},Ze.prototype.setWindowHeight=function(){this.windowHeight=window.innerHeight},Ze.prototype.resize=function(Se,Ce){this._isResizing=!0;var Ve=Se/this.imageWidth,_e=Ce/this.imageHeight;this.imageWidth=Math.round(Se),this.imageHeight=Math.round(Ce),this.target instanceof HTMLImageElement&&this.editingTarget instanceof HTMLImageElement&&(this.editingTarget.src=this.target.src),this.editingTarget.width=this.imageWidth,this.editingTarget.height=this.imageHeight,this.editingTarget.style.width=this.imageWidth+"px",this.editingTarget.style.height=this.imageHeight+"px",this.markerImage.setAttribute("width",this.imageWidth.toString()),this.markerImage.setAttribute("height",this.imageHeight.toString()),this.markerImage.setAttribute("viewBox","0 0 "+this.imageWidth.toString()+" "+this.imageHeight.toString()),this.markerImageHolder.style.width=this.imageWidth+"px",this.markerImageHolder.style.height=this.imageHeight+"px",this.overlayContainer.style.width=this.imageWidth+"px",this.overlayContainer.style.height=this.imageHeight+"px",this.settings.displayMode!=="popup"?this.coverDiv.style.width=this.imageWidth.toString()+"px":(this.setTopLeft(),this.positionMarkerImage()),this.toolbar!==void 0&&this.toolbar.adjustLayout(),this.positionLogo(),this.scaleMarkers(Ve,_e),this._isResizing=!1},Ze.prototype.scaleMarkers=function(Se,Ce){var Ve,_e=this;this._currentMarker&&this._currentMarker instanceof vn?this._currentMarker.scale(Se,Ce):(Ve=this._currentMarker,this.setCurrentMarker()),this.markers.forEach(function(Te){Te!==_e._currentMarker&&Te.scale(Se,Ce)}),Ve!==void 0&&this.setCurrentMarker(Ve)},Ze.prototype.setEditingTarget=function(){this.imageWidth=Math.round(this.target.clientWidth),this.imageHeight=Math.round(this.target.clientHeight),this.target instanceof HTMLImageElement&&this.editingTarget instanceof HTMLImageElement&&(this.editingTarget.src=this.target.src),this.editingTarget.width=this.imageWidth,this.editingTarget.height=this.imageHeight,this.editingTarget.style.width=this.imageWidth+"px",this.editingTarget.style.height=this.imageHeight+"px"},Ze.prototype.setTopLeft=function(){var Se=this.editingTarget.getBoundingClientRect(),Ce=this.editorCanvas.getBoundingClientRect();this.left=Se.left-Ce.left,this.top=Se.top-Ce.top},Ze.prototype.initMarkerCanvas=function(){this.markerImageHolder=document.createElement("div"),this.markerImageHolder.style.setProperty("touch-action","pinch-zoom"),this.markerImage=document.createElementNS("http://www.w3.org/2000/svg","svg"),this.markerImage.setAttribute("xmlns","http://www.w3.org/2000/svg"),this.markerImage.setAttribute("width",this.imageWidth.toString()),this.markerImage.setAttribute("height",this.imageHeight.toString()),this.markerImage.setAttribute("viewBox","0 0 "+this.imageWidth.toString()+" "+this.imageHeight.toString()),this.markerImage.style.pointerEvents="auto",this.markerImageHolder.style.position="absolute",this.markerImageHolder.style.width=this.imageWidth+"px",this.markerImageHolder.style.height=this.imageHeight+"px",this.markerImageHolder.style.transformOrigin="top left",this.positionMarkerImage(),this.markerImageHolder.appendChild(this.markerImage),this.editorCanvas.appendChild(this.markerImageHolder)},Ze.prototype.addDefs=function(){for(var Se,Ce=[],Ve=0;Ve<arguments.length;Ve++)Ce[Ve]=arguments[Ve];this.defs=ot.createDefs(),this.addDefsToImage(),(Se=this.defs).append.apply(Se,Ce)},Ze.prototype.addDefsToImage=function(){this.defs&&this.markerImage.insertBefore(this.defs,this.markerImage.firstChild)},Ze.prototype.initOverlay=function(){this.overlayContainer=document.createElement("div"),this.overlayContainer.style.position="absolute",this.overlayContainer.style.left="0px",this.overlayContainer.style.top="0px",this.overlayContainer.style.width=this.imageWidth+"px",this.overlayContainer.style.height=this.imageHeight+"px",this.overlayContainer.style.display="flex",this.markerImageHolder.appendChild(this.overlayContainer)},Ze.prototype.positionMarkerImage=function(){this.markerImageHolder.style.top=this.top/this.zoomLevel+"px",this.markerImageHolder.style.left=this.left/this.zoomLevel+"px"},Ze.prototype.attachEvents=function(){this.markerImage.addEventListener("pointerdown",this.onPointerDown),this.markerImage.addEventListener("dblclick",this.onDblClick),this.attachWindowEvents()},Ze.prototype.attachWindowEvents=function(){window.addEventListener("pointermove",this.onPointerMove),window.addEventListener("pointerup",this.onPointerUp),window.addEventListener("pointercancel",this.onPointerOut),window.addEventListener("pointerout",this.onPointerOut),window.addEventListener("pointerleave",this.onPointerUp),window.addEventListener("resize",this.onWindowResize),window.addEventListener("keyup",this.onKeyUp)},Ze.prototype.detachEvents=function(){this.markerImage.removeEventListener("pointerdown",this.onPointerDown),this.markerImage.removeEventListener("dblclick",this.onDblClick),this.detachWindowEvents()},Ze.prototype.detachWindowEvents=function(){window.removeEventListener("pointermove",this.onPointerMove),window.removeEventListener("pointerup",this.onPointerUp),window.removeEventListener("pointercancel",this.onPointerOut),window.removeEventListener("pointerout",this.onPointerOut),window.removeEventListener("pointerleave",this.onPointerUp),window.removeEventListener("resize",this.onWindowResize),window.removeEventListener("keyup",this.onKeyUp)},Ze.prototype.addLogo=function(){this.logoUI=document.createElement("div"),this.logoUI.style.display="inline-block",this.logoUI.style.margin="0px",this.logoUI.style.padding="0px",this.logoUI.style.fill="#333333";var Se=document.createElement("a");Se.href="https://markerjs.com/",Se.target="_blank",Se.innerHTML='<svg viewBox="0 0 112 96" xmlns="http://www.w3.org/2000/svg" fill-rule="evenodd" clip-rule="evenodd" stroke-linejoin="round" stroke-miterlimit="1.414"><path fill="#e5f20d" fill-opacity=".647" d="M0 40.386h111.96V95.62H0z"/><path d="M93.61 61.452c0 .987-.328 1.831-.987 2.53-.657.7-1.52 1.048-2.591 1.048-1.481 0-2.222-.74-2.222-2.22 0-16.617-.533-29.347-1.604-38.192-1.068-8.842-2.92-13.265-5.552-13.265-4.443 0-10.94 15.509-19.497 46.52v.124c0 .987-.328 1.831-.987 2.53-.657.7-1.52 1.048-2.592 1.048-1.48 0-2.22-.74-2.22-2.22 0-3.29.165-8.392.493-15.302.33-7.732.494-13.82.494-18.262 0-6.17-.186-10.55-.556-13.142-.37-2.591-1.172-3.887-2.406-3.887-2.796 0-6.333 5.12-10.612 15.363C38.494 34.367 34.01 46.44 29.32 60.34l-1.11 3.209a5.714 5.714 0 01-1.42 2.097c-.617.578-1.295.864-2.036.864-.987 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marker.js",Se.style.display="grid",Se.style.alignItems="center",Se.style.justifyItems="center",Se.style.padding="3px",Se.style.width="20px",Se.style.height="20px",this.logoUI.appendChild(Se),this.editorCanvas.appendChild(this.logoUI),this.logoUI.style.position="absolute",this.logoUI.style.pointerEvents="all",this.positionLogo()},Ze.prototype.positionLogo=function(){this.logoUI&&(this.uiStyleSettings.logoPosition!=="right"?this.logoUI.style.left=this.markerImageHolder.offsetLeft+10+"px":this.logoUI.style.left=this.markerImageHolder.offsetLeft+this.markerImageHolder.offsetWidth-this.logoUI.clientWidth-10+"px",this.logoUI.style.top=this.markerImageHolder.offsetTop+this.markerImageHolder.offsetHeight-this.logoUI.clientHeight-10+"px")},Ze.prototype.overrideOverflow=function(){this.scrollXState=window.scrollX,this.scrollYState=window.scrollY,this.bodyOverflowState=document.body.style.overflow,window.scroll({top:0,left:0}),document.body.style.overflow="hidden"},Ze.prototype.restoreOverflow=function(){document.body.style.overflow=this.bodyOverflowState,window.scroll({top:this.scrollYState,left:this.scrollXState})},Ze.prototype.showUI=function(){switch(this.settings.displayMode==="popup"&&this.overrideOverflow(),this.coverDiv=document.createElement("div"),this.coverDiv.style.visibility=this._silentRenderMode?"hidden":"visible",this.coverDiv.className=this.styles.classNamePrefixBase+" "+this.styles.classNamePrefix,this.coverDiv.style.fontSize="16px",this.coverDiv.style.userSelect="none",this.settings.displayMode){case"inline":this.coverDiv.style.position="absolute";var Se=this.settings.uiOffsetTop!==void 0?this.target.offsetTop+this.settings.uiOffsetTop:this.target.offsetTop>this.styles.settings.toolbarHeight?this.target.offsetTop-this.styles.settings.toolbarHeight:0;this.coverDiv.style.top=Se+"px",this.coverDiv.style.left=this.target.offsetLeft.toString()+"px",this.coverDiv.style.width=this.target.offsetWidth.toString()+"px",this.coverDiv.style.zIndex=this.uiStyleSettings.zIndex!==void 0?this.uiStyleSettings.zIndex:"5";break;case"popup":this.coverDiv.style.position="absolute",this.coverDiv.style.top="0px",this.coverDiv.style.left="0px",this.coverDiv.style.width="100vw",this.coverDiv.style.height=window.innerHeight+"px",this.coverDiv.style.backgroundColor="rgba(0, 0, 0, 0.75)",this.coverDiv.style.zIndex=this.uiStyleSettings.zIndex!==void 0?this.uiStyleSettings.zIndex:"1000",this.coverDiv.style.display="flex"}this.targetRoot.appendChild(this.coverDiv),this.uiDiv=document.createElement("div"),this.uiDiv.style.display="flex",this.uiDiv.style.flexDirection="column",this.uiDiv.style.flexGrow="2",this.uiDiv.style.margin=this.settings.displayMode==="popup"?this.settings.popupMargin+"px":"0px",this.uiDiv.style.border="0px",this.coverDiv.appendChild(this.uiDiv),this.toolbar=new Ot(this.uiDiv,this.settings.displayMode,this._availableMarkerTypes,this.uiStyleSettings,this.styles),this.toolbar.addButtonClickListener(this.toolbarButtonClicked),this.toolbar.show(this._silentRenderMode||this.uiStyleSettings.hideToolbar?"hidden":"visible"),this.contentDiv=document.createElement("div"),this.contentDiv.style.display="flex",this.contentDiv.style.flexDirection="row",this.contentDiv.style.flexGrow="2",this.contentDiv.style.flexShrink="1",this.settings.displayMode==="popup"&&(this.contentDiv.style.backgroundColor=this.uiStyleSettings.canvasBackgroundColor,this.contentDiv.style.maxHeight=this.windowHeight-2*this.settings.popupMargin-3.5*this.uiStyleSettings.toolbarHeight+"px",this.contentDiv.style.maxWidth="calc(100vw - "+2*this.settings.popupMargin+"px)"),this.contentDiv.style.overflow="auto",this.uiDiv.appendChild(this.contentDiv),this.editorCanvas=document.createElement("div"),this.editorCanvas.style.flexGrow="2",this.editorCanvas.style.flexShrink="1",this.editorCanvas.style.position="relative",this.editorCanvas.style.overflow="hidden",this.editorCanvas.style.display="flex",this.settings.displayMode==="popup"&&(this.editorCanvas.style.alignItems="center",this.editorCanvas.style.justifyContent="center"),this.editorCanvas.style.pointerEvents="none",this.editorCanvas.style.transformOrigin="left top",this.editorCanvas.style.transform="scale("+this.zoomLevel+")",this.contentDiv.appendChild(this.editorCanvas),this.editingTarget=this.target instanceof HTMLImageElement?document.createElement("img"):document.createElement("canvas"),this.settings.uiOffsetTop===void 0&&this.target.offsetTop<this.styles.settings.toolbarHeight&&(this.editingTarget.style.marginTop=this.target.offsetTop-this.styles.settings.toolbarHeight+"px"),this.editorCanvas.appendChild(this.editingTarget),this.toolbox=new jt(this.uiDiv,this.settings.displayMode,this.uiStyleSettings,this.styles),this.toolbox.show(this._silentRenderMode||this.uiStyleSettings.hideToolbox?"hidden":"visible")},Ze.prototype.closeUI=function(){this.settings.displayMode==="popup"&&this.restoreOverflow(),this.targetRoot.removeChild(this.coverDiv)},Ze.prototype.removeMarker=function(Se){this.markerImage.removeChild(Se.container),this.markers.indexOf(Se)>-1&&this.markers.splice(this.markers.indexOf(Se),1),Se.dispose()},Ze.prototype.switchToSelectMode=function(){this.mode="select",this.hideNotesEditor(),this._currentMarker!==void 0&&(this._currentMarker.state!=="new"?this._currentMarker.select():(this.removeMarker(this._currentMarker),this.setCurrentMarker(),this.markerImage.style.cursor="default"),this.addUndoStep())},Ze.prototype.toolbarButtonClicked=function(Se,Ce){if(Se==="marker"&&Ce!==void 0)this.createNewMarker(Ce);else if(Se==="action")switch(Ce){case"select":this.switchToSelectMode(),this.switchToSelectMode();break;case"delete":this.deleteSelectedMarker();break;case"clear":this.clear();break;case"undo":this.undo();break;case"redo":this.redo();break;case"zoom":this.stepZoom();break;case"zoom-out":this.zoomLevel=1;break;case"notes":this.notesArea===void 0?(this.switchToSelectMode(),this.zoomLevel=1,this.showNotesEditor()):this.switchToSelectMode();break;case"close":this.close();break;case"render":this.switchToSelectMode(),this.startRenderAndClose()}},Ze.prototype.deleteSelectedMarker=function(){var Se=this;if(this._currentMarker!==void 0){var Ce=!1;if(this.eventListeners.markerbeforedelete.forEach(function(_e){var Te=new Jn(Se,Se._currentMarker,!0);_e(Te),Te.defaultPrevented&&(Ce=!0)}),!Ce){var Ve=this._currentMarker;this._currentMarker.dispose(),this.markerImage.removeChild(this._currentMarker.container),this.markers.splice(this.markers.indexOf(this._currentMarker),1),this.setCurrentMarker(),this.addUndoStep(),this.eventListeners.markerdelete.forEach(function(_e){return _e(new Jn(Se,Ve))})}}},Ze.prototype.clear=function(){var Se=this,Ce=!1;if(this.markers.length>0&&(this.eventListeners.markerbeforedelete.forEach(function(pn){var Yn=new Jn(Se,void 0,!0);pn(Yn),Yn.defaultPrevented&&(Ce=!0)}),!Ce)){this.setCurrentMarker();for(var Ve=function(pn){var Yn=_e.markers[pn];_e.setCurrentMarker(_e.markers[pn]),_e._currentMarker.dispose(),_e.markerImage.removeChild(_e._currentMarker.container),_e.markers.splice(_e.markers.indexOf(_e._currentMarker),1),_e.eventListeners.markerdelete.forEach(function(Tn){return Tn(new Jn(Se,Yn))})},_e=this,Te=this.markers.length-1;Te>=0;Te--)Ve(Te);this.addUndoStep()}},Object.defineProperty(Ze.prototype,"isNotesAreaOpen",{get:function(){return this.notesArea!==void 0},enumerable:!1,configurable:!0}),Ze.prototype.showNotesEditor=function(){var Se;this._currentMarker!==void 0&&(this.overlayContainer.innerHTML="",this.notesArea=document.createElement("textarea"),this.notesArea.className=this.uiStyleSettings.notesAreaStyleClassName,this.notesArea.style.pointerEvents="auto",this.notesArea.style.alignSelf="stretch",this.notesArea.style.width="100%",this.notesArea.style.margin=this.uiStyleSettings.toolbarHeight/4+"px",this.notesArea.value=(Se=this._currentMarker.notes)!==null&&Se!==void 0?Se:"",this.overlayContainer.appendChild(this.notesArea))},Ze.prototype.hideNotesEditor=function(){this.isNotesAreaOpen&&(this._currentMarker!==void 0&&(this._currentMarker.notes=this.notesArea.value.trim()!==""?this.notesArea.value:void 0),this.overlayContainer.removeChild(this.notesArea),this.notesArea=void 0)},Ze.prototype.selectLastMarker=function(){this.markers.length>0?this.setCurrentMarker(this.markers[this.markers.length-1]):this.setCurrentMarker()},Ze.prototype.addUndoStep=function(){var Se=this;if(this._currentMarker===void 0||this._currentMarker.state!=="edit"){var Ce=this.getState(),Ve=this.undoRedoManager.getLastUndoStep();if(!Ve||Ve.width===Ce.width&&Ve.height===Ce.height){var _e=this.undoRedoManager.undoStepCount;this.undoRedoManager.addUndoStep(Ce),_e<this.undoRedoManager.undoStepCount&&this.eventListeners.statechange.forEach(function(Te){return Te(new Fn(Se))})}else this.undoRedoManager.replaceLastUndoStep(Ce),this.eventListeners.statechange.forEach(function(Te){return Te(new Fn(Se))})}},Ze.prototype.undo=function(){this.switchToSelectMode(),this.addUndoStep(),this.undoStep()},Ze.prototype.undoStep=function(){var Se=this,Ce=this.undoRedoManager.undo();Ce!==void 0&&(this.restoreState(Ce),this.addDefsToImage(),this.selectLastMarker(),this.eventListeners.statechange.forEach(function(Ve){return Ve(new Fn(Se))}))},Ze.prototype.redo=function(){this.switchToSelectMode(),this.redoStep()},Ze.prototype.redoStep=function(){var Se=this,Ce=this.undoRedoManager.redo();Ce!==void 0&&(this.restoreState(Ce),this.addDefsToImage(),this.selectLastMarker(),this.eventListeners.statechange.forEach(function(Ve){return Ve(new Fn(Se))}))},Ze.prototype.stepZoom=function(){var Se=this.zoomSteps.indexOf(this.zoomLevel);this.zoomLevel=Se<this.zoomSteps.length-1?this.zoomSteps[Se+1]:this.zoomSteps[0]},Ze.prototype.panTo=function(Se){this.contentDiv.scrollBy({left:this.prevPanPoint.x-Se.x,top:this.prevPanPoint.y-Se.y}),this.prevPanPoint=Se},Ze.prototype.startRenderAndClose=function(){return mt(this,void 0,void 0,function(){var Se,Ce,Ve=this;return Tt(this,function(_e){switch(_e.label){case 0:return[4,this.render()];case 1:return Se=_e.sent(),Ce=this.getState(),this.eventListeners.render.forEach(function(Te){return Te(new tn(Ve,Se,Ce))}),this.close(!0),[2]}})})},Ze.prototype.getState=function(Se){Se===!0&&this.setCurrentMarker();var Ce={width:this.imageWidth,height:this.imageHeight,markers:[]};return this.markers.forEach(function(Ve){return Ce.markers.push(Ve.getState())}),Ce},Ze.prototype.restoreState=function(Se){var Ce=this;for(this.markers.splice(0);this.markerImage.lastChild;)this.markerImage.removeChild(this.markerImage.lastChild);Se.markers.forEach(function(Ve){var _e=Ce._availableMarkerTypes.find(function(pn){return pn.typeName===Ve.typeName});if(_e!==void 0){var Te=Ce.addNewMarker(_e);Te.restoreState(Ve),Ce.markers.push(Te)}}),Se.width&&Se.height&&(Se.width!==this.imageWidth||Se.height!==this.imageHeight)&&this.scaleMarkers(this.imageWidth/Se.width,this.imageHeight/Se.height),this.eventListeners.restorestate.forEach(function(Ve){return Ve(new Fn(Ce))})},Ze.prototype.addNewMarker=function(Se){var Ce=ot.createGroup();return this.markerImage.appendChild(Ce),new Se(Ce,this.overlayContainer,this.settings)},Ze.prototype.createNewMarker=function(Se){var Ce,Ve=this;(Ce=typeof Se=="string"?this._availableMarkerTypes.find(function(_e){return _e.typeName===Se}):Se)&&(this.setCurrentMarker(),this.addUndoStep(),this._currentMarker=this.addNewMarker(Ce),this._currentMarker.onMarkerCreated=this.markerCreated,this._currentMarker.onColorChanged=this.colorChanged,this._currentMarker.onFillColorChanged=this.fillColorChanged,this._currentMarker.onStateChanged=this.markerStateChanged,this.markerImage.style.cursor="crosshair",this.toolbar.setActiveMarkerButton(Ce.typeName),this.toolbox.setPanelButtons(this._currentMarker.toolboxPanels),this.eventListeners.markercreating.forEach(function(_e){return _e(new Jn(Ve,Ve._currentMarker))}))},Ze.prototype.markerCreated=function(Se){var Ce=this;this.mode="select",this.markerImage.style.cursor="default",this.markers.push(Se),this.setCurrentMarker(Se),Se instanceof dn&&this.settings.newFreehandMarkerOnPointerUp?this.createNewMarker(dn):this.toolbar.setSelectMode(),this.addUndoStep(),this.eventListeners.markercreate.forEach(function(Ve){return Ve(new Jn(Ce,Ce._currentMarker))})},Ze.prototype.colorChanged=function(Se){this.settings.defaultColorsFollowCurrentColors&&(this.settings.defaultColor=Se,this.settings.defaultStrokeColor=Se)},Ze.prototype.fillColorChanged=function(Se){this.settings.defaultColorsFollowCurrentColors&&(this.settings.defaultFillColor=Se)},Ze.prototype.markerStateChanged=function(Se){var Ce=this;this.eventListeners.markerchange.forEach(function(Ve){return Ve(new Jn(Ce,Se))})},Ze.prototype.setCurrentMarker=function(Se){var Ce=this;this._currentMarker!==Se&&this._currentMarker!==void 0&&(this._currentMarker.deselect(),this.toolbar.setCurrentMarker(),this.toolbox.setPanelButtons([]),this._isResizing||this.eventListeners.markerdeselect.forEach(function(Ve){return Ve(new Jn(Ce,Ce._currentMarker))})),this._currentMarker=Se,this._currentMarker===void 0||this._currentMarker.isSelected||(this._currentMarker.state!=="new"&&this._currentMarker.select(),this.toolbar.setCurrentMarker(this._currentMarker),this.toolbox.setPanelButtons(this._currentMarker.toolboxPanels),this._isResizing||this.eventListeners.markerselect.forEach(function(Ve){return Ve(new Jn(Ce,Ce._currentMarker))}))},Ze.prototype.onPointerDown=function(Se){if(this._isFocused||this.focus(),this.touchPoints++,this.touchPoints===1||Se.pointerType!=="touch")if(this._currentMarker===void 0||this._currentMarker.state!=="new"&&this._currentMarker.state!=="creating"){if(this.mode==="select"){var Ce=this.markers.find(function(Ve){return Ve.ownsTarget(Se.target)});Ce!==void 0?(this.setCurrentMarker(Ce),this.isDragging=!0,this._currentMarker.pointerDown(this.clientToLocalCoordinates(Se.clientX,Se.clientY),Se.target)):(this.setCurrentMarker(),this.isDragging=!0,this.prevPanPoint={x:Se.clientX,y:Se.clientY})}}else this.isDragging=!0,this._currentMarker.pointerDown(this.clientToLocalCoordinates(Se.clientX,Se.clientY))},Ze.prototype.onDblClick=function(Se){if(this._isFocused||this.focus(),this.mode==="select"){var Ce=this.markers.find(function(Ve){return Ve.ownsTarget(Se.target)});Ce!==void 0&&Ce!==this._currentMarker&&this.setCurrentMarker(Ce),this._currentMarker!==void 0?this._currentMarker.dblClick(this.clientToLocalCoordinates(Se.clientX,Se.clientY),Se.target):this.setCurrentMarker()}},Ze.prototype.onPointerMove=function(Se){this.touchPoints!==1&&Se.pointerType==="touch"||(this._currentMarker!==void 0||this.isDragging)&&(this._currentMarker!==void 0&&this._currentMarker.state==="edit"||Se.preventDefault(),this._currentMarker!==void 0?this._currentMarker.manipulate(this.clientToLocalCoordinates(Se.clientX,Se.clientY)):this.zoomLevel>1&&this.panTo({x:Se.clientX,y:Se.clientY}))},Ze.prototype.onPointerUp=function(Se){this.touchPoints>0&&this.touchPoints--,this.touchPoints===0&&this.isDragging&&this._currentMarker!==void 0&&this._currentMarker.pointerUp(this.clientToLocalCoordinates(Se.clientX,Se.clientY)),this.isDragging=!1,this.addUndoStep()},Ze.prototype.onPointerOut=function(){this.touchPoints>0&&this.touchPoints--},Ze.prototype.onKeyUp=function(Se){this._currentMarker===void 0||this.notesArea!==void 0||Se.key!=="Delete"&&Se.key!=="Backspace"||this.deleteSelectedMarker()},Ze.prototype.clientToLocalCoordinates=function(Se,Ce){var Ve=this.markerImage.getBoundingClientRect();return{x:(Se-Ve.left)/this.zoomLevel,y:(Ce-Ve.top)/this.zoomLevel}},Ze.prototype.onWindowResize=function(){this.positionUI()},Ze.prototype.positionUI=function(){switch(this.setTopLeft(),this.settings.displayMode){case"inline":var Se=this.target.getClientRects().item(0).y>this.styles.settings.toolbarHeight?this.target.offsetTop-this.styles.settings.toolbarHeight:0;this.coverDiv.style.top=Se+"px",this.coverDiv.style.left=this.target.offsetLeft.toString()+"px";break;case"popup":this.coverDiv.style.top="0px",this.coverDiv.style.left="0px",this.coverDiv.style.width="100vw",this.coverDiv.style.height=this.windowHeight+"px",this.contentDiv.style.maxHeight=this.windowHeight-2*this.settings.popupMargin-3.5*this.styles.settings.toolbarHeight+"px"}this.positionMarkerImage(),this.positionLogo()},Ze.prototype.addLicenseKey=function(Se){at.addKey(Se)},Ze.prototype.addEventListener=function(Se,Ce){this.eventListeners.addEventListener(Se,Ce)},Ze.prototype.removeEventListener=function(Se,Ce){this.eventListeners.removeEventListener(Se,Ce)},Ze.prototype.renderState=function(Se){this._silentRenderMode=!0,this.settings.displayMode="inline",this.isOpen||this.show(),this.restoreState(Se),this.startRenderAndClose(),this._silentRenderMode=!1},Object.defineProperty(Ze.prototype,"isFocused",{get:function(){return this._isFocused},enumerable:!1,configurable:!0}),Ze.prototype.focus=function(){var Se=this;this._isFocused||(this.attachWindowEvents(),this._isFocused=!0,this._previousCurrentMarker!==void 0&&this.setCurrentMarker(this._previousCurrentMarker),this.eventListeners.focus.forEach(function(Ce){return Ce(new Fn(Se))}))},Ze.prototype.blur=function(){var Se=this;this._isFocused&&(this.detachWindowEvents(),this._isFocused=!1,this._previousCurrentMarker=this._currentMarker,this.setCurrentMarker(),this.eventListeners.blur.forEach(function(Ce){return Ce(new Fn(Se))}))},Ze.instanceCounter=0,Ze}()},91998:function(Dt,Wn,Be){Dt.exports=ct,Dt.exports.simulator=Be(72879);var fe=Be(82396);function ct(Tt,rt){if(!Tt)throw new Error("Graph structure cannot be undefined");var ot=rt&&rt.createSimulator||Be(72879),at=ot(rt);if(Array.isArray(rt))throw new Error("Physics settings is expected to be an object");var dt=Tt.version>19?rr:nr;rt&&typeof rt.nodeMass=="function"&&(dt=rt.nodeMass);var Ct=new Map,St={},Et=0,Rt=at.settings.springTransform||mt;$n(),yn();var Ot=!1,jt={step:function(){if(Et===0)return xt(!0),!0;var Ht=at.step();jt.lastMove=Ht,jt.fire("step");var fn=Ht/Et,Mr=fn<=.01;return xt(Mr),Mr},getNodePosition:function(Ht){return dn(Ht).pos},setNodePosition:function(Ht){var fn=dn(Ht);fn.setPosition.apply(fn,Array.prototype.slice.call(arguments,1))},getLinkPosition:function(Ht){var fn=St[Ht];if(fn)return{from:fn.from.pos,to:fn.to.pos}},getGraphRect:function(){return at.getBBox()},forEachBody:Bt,pinNode:function(Ht,fn){var Mr=dn(Ht.id);Mr.isPinned=!!fn},isNodePinned:function(Ht){return dn(Ht.id).isPinned},dispose:function(){Tt.off("changed",In),jt.fire("disposed")},getBody:Qt,getSpring:Lt,getForceVectorLength:Nt,simulator:at,graph:Tt,lastMove:0};return fe(jt),jt;function xt(Ht){Ot!==Ht&&(Ot=Ht,Qe(Ht))}function Bt(Ht){Ct.forEach(Ht)}function Nt(){var Ht=0,fn=0;return Bt(function(Mr){Ht+=Math.abs(Mr.force.x),fn+=Math.abs(Mr.force.y)}),Math.sqrt(Ht*Ht+fn*fn)}function Lt(Ht,fn){var Mr;if(fn===void 0)typeof Ht!="object"?Mr=Ht:Mr=Ht.id;else{var ut=Tt.hasLink(Ht,fn);if(!ut)return;Mr=ut.id}return St[Mr]}function Qt(Ht){return Ct.get(Ht)}function yn(){Tt.on("changed",In)}function Qe(Ht){jt.fire("stable",Ht)}function In(Ht){for(var fn=0;fn<Ht.length;++fn){var Mr=Ht[fn];Mr.changeType==="add"?(Mr.node&&An(Mr.node.id),Mr.link&&Kt(Mr.link)):Mr.changeType==="remove"&&(Mr.node&&hr(Mr.node),Mr.link&&$t(Mr.link))}Et=Tt.getNodesCount()}function $n(){Et=0,Tt.forEachNode(function(Ht){An(Ht.id),Et+=1}),Tt.forEachLink(Kt)}function An(Ht){var fn=Ct.get(Ht);if(!fn){var Mr=Tt.getNode(Ht);if(!Mr)throw new Error("initBody() was called with unknown node id");var ut=Mr.position;if(!ut){var Ke=Dn(Mr);ut=at.getBestNewBodyPosition(Ke)}fn=at.addBodyAt(ut),fn.id=Ht,Ct.set(Ht,fn),nn(Ht),vn(Mr)&&(fn.isPinned=!0)}}function hr(Ht){var fn=Ht.id,Mr=Ct.get(fn);Mr&&(Ct.delete(fn),at.removeBody(Mr))}function Kt(Ht){nn(Ht.fromId),nn(Ht.toId);var fn=Ct.get(Ht.fromId),Mr=Ct.get(Ht.toId),ut=at.addSpring(fn,Mr,Ht.length);Rt(Ht,ut),St[Ht.id]=ut}function $t(Ht){var fn=St[Ht.id];if(fn){var Mr=Tt.getNode(Ht.fromId),ut=Tt.getNode(Ht.toId);Mr&&nn(Mr.id),ut&&nn(ut.id),delete St[Ht.id],at.removeSpring(fn)}}function Dn(Ht){var fn=[];if(!Ht.links)return fn;for(var Mr=Math.min(Ht.links.length,2),ut=0;ut<Mr;++ut){var Ke=Ht.links[ut],Xn=Ke.fromId!==Ht.id?Ct.get(Ke.fromId):Ct.get(Ke.toId);Xn&&Xn.pos&&fn.push(Xn)}return fn}function nn(Ht){var fn=Ct.get(Ht);if(fn.mass=dt(Ht),Number.isNaN(fn.mass))throw new Error("Node mass should be a number")}function vn(Ht){return Ht&&(Ht.isPinned||Ht.data&&Ht.data.isPinned)}function dn(Ht){var fn=Ct.get(Ht);return fn||(An(Ht),fn=Ct.get(Ht)),fn}function nr(Ht){var fn=Tt.getLinks(Ht);return fn?1+fn.length/3:1}function rr(Ht){var fn=Tt.getLinks(Ht);return fn?1+fn.size/3:1}}function mt(){}},98786:function(Dt,Wn,Be){const fe=Be(59321);Dt.exports=function(mt){return Tt;function Tt(rt,ot){let at=ot&&ot.indent||0,dt=ot&&ot.join!==void 0?ot.join:`
`,Ct=Array(at+1).join(" "),St=[];for(let Et=0;Et<mt;++Et){let Rt=fe(Et),Ot=Et===0?"":Ct;St.push(Ot+rt.replace(/{var}/g,Rt))}return St.join(dt)}}},41085:function(Dt,Wn,Be){Dt.exports=ct,Dt.exports.generateFunctionBody=mt;const fe=Be(98786);function ct(Tt){let rt=mt(Tt);return new Function("bodies","settings","random",rt)}function mt(Tt){let rt=fe(Tt);return`
  var boundingBox = {
    ${rt("min_{var}: 0, max_{var}: 0,",{indent:4})}
  };

  return {
    box: boundingBox,

    update: updateBoundingBox,

    reset: resetBoundingBox,

    getBestNewPosition: function (neighbors) {
      var ${rt("base_{var} = 0",{join:", "})};

      if (neighbors.length) {
        for (var i = 0; i < neighbors.length; ++i) {
          let neighborPos = neighbors[i].pos;
          ${rt("base_{var} += neighborPos.{var};",{indent:10})}
        }

        ${rt("base_{var} /= neighbors.length;",{indent:8})}
      } else {
        ${rt("base_{var} = (boundingBox.min_{var} + boundingBox.max_{var}) / 2;",{indent:8})}
      }

      var springLength = settings.springLength;
      return {
        ${rt("{var}: base_{var} + (random.nextDouble() - 0.5) * springLength,",{indent:8})}
      };
    }
  };

  function updateBoundingBox() {
    var i = bodies.length;
    if (i === 0) return; // No bodies - no borders.

    ${rt("var max_{var} = -Infinity;",{indent:4})}
    ${rt("var min_{var} = Infinity;",{indent:4})}

    while(i--) {
      // this is O(n), it could be done faster with quadtree, if we check the root node bounds
      var bodyPos = bodies[i].pos;
      ${rt("if (bodyPos.{var} < min_{var}) min_{var} = bodyPos.{var};",{indent:6})}
      ${rt("if (bodyPos.{var} > max_{var}) max_{var} = bodyPos.{var};",{indent:6})}
    }

    ${rt("boundingBox.min_{var} = min_{var};",{indent:4})}
    ${rt("boundingBox.max_{var} = max_{var};",{indent:4})}
  }

  function resetBoundingBox() {
    ${rt("boundingBox.min_{var} = boundingBox.max_{var} = 0;",{indent:4})}
  }
`}},53623:function(Dt,Wn,Be){const fe=Be(98786);Dt.exports=ct,Dt.exports.generateCreateBodyFunctionBody=mt,Dt.exports.getVectorCode=rt,Dt.exports.getBodyCode=Tt;function ct(ot,at){let dt=mt(ot,at),{Body:Ct}=new Function(dt)();return Ct}function mt(ot,at){return`
${rt(ot,at)}
${Tt(ot,at)}
return {Body: Body, Vector: Vector};
`}function Tt(ot){let at=fe(ot),dt=at("{var}",{join:", "});return`
function Body(${dt}) {
  this.isPinned = false;
  this.pos = new Vector(${dt});
  this.force = new Vector();
  this.velocity = new Vector();
  this.mass = 1;

  this.springCount = 0;
  this.springLength = 0;
}

Body.prototype.reset = function() {
  this.force.reset();
  this.springCount = 0;
  this.springLength = 0;
}

Body.prototype.setPosition = function (${dt}) {
  ${at("this.pos.{var} = {var} || 0;",{indent:2})}
};`}function rt(ot,at){let dt=fe(ot),Ct="";return at&&(Ct=`${dt(`
   var v{var};
Object.defineProperty(this, '{var}', {
  set: function(v) { 
    if (!Number.isFinite(v)) throw new Error('Cannot set non-numbers to {var}');
    v{var} = v; 
  },
  get: function() { return v{var}; }
});`)}`),`function Vector(${dt("{var}",{join:", "})}) {
  ${Ct}
    if (typeof arguments[0] === 'object') {
      // could be another vector
      let v = arguments[0];
      ${dt('if (!Number.isFinite(v.{var})) throw new Error("Expected value is not a finite number at Vector constructor ({var})");',{indent:4})}
      ${dt("this.{var} = v.{var};",{indent:4})}
    } else {
      ${dt('this.{var} = typeof {var} === "number" ? {var} : 0;',{indent:4})}
    }
  }
  
  Vector.prototype.reset = function () {
    ${dt("this.{var} = ",{join:""})}0;
  };`}},48812:function(Dt,Wn,Be){const fe=Be(98786);Dt.exports=ct,Dt.exports.generateCreateDragForceFunctionBody=mt;function ct(Tt){let rt=mt(Tt);return new Function("options",rt)}function mt(Tt){return`
  if (!Number.isFinite(options.dragCoefficient)) throw new Error('dragCoefficient is not a finite number');

  return {
    update: function(body) {
      ${fe(Tt)("body.force.{var} -= options.dragCoefficient * body.velocity.{var};",{indent:6})}
    }
  };
`}},7584:function(Dt,Wn,Be){const fe=Be(98786);Dt.exports=ct,Dt.exports.generateCreateSpringForceFunctionBody=mt;function ct(Tt){let rt=mt(Tt);return new Function("options","random",rt)}function mt(Tt){let rt=fe(Tt);return`
  if (!Number.isFinite(options.springCoefficient)) throw new Error('Spring coefficient is not a number');
  if (!Number.isFinite(options.springLength)) throw new Error('Spring length is not a number');

  return {
    /**
     * Updates forces acting on a spring
     */
    update: function (spring) {
      var body1 = spring.from;
      var body2 = spring.to;
      var length = spring.length < 0 ? options.springLength : spring.length;
      ${rt("var d{var} = body2.pos.{var} - body1.pos.{var};",{indent:6})}
      var r = Math.sqrt(${rt("d{var} * d{var}",{join:" + "})});

      if (r === 0) {
        ${rt("d{var} = (random.nextDouble() - 0.5) / 50;",{indent:8})}
        r = Math.sqrt(${rt("d{var} * d{var}",{join:" + "})});
      }

      var d = r - length;
      var coefficient = ((spring.coefficient > 0) ? spring.coefficient : options.springCoefficient) * d / r;

      ${rt("body1.force.{var} += coefficient * d{var}",{indent:6})};
      body1.springCount += 1;
      body1.springLength += r;

      ${rt("body2.force.{var} -= coefficient * d{var}",{indent:6})};
      body2.springCount += 1;
      body2.springLength += r;
    }
  };
`}},26302:function(Dt,Wn,Be){const fe=Be(98786);Dt.exports=ct,Dt.exports.generateIntegratorFunctionBody=mt;function ct(Tt){let rt=mt(Tt);return new Function("bodies","timeStep","adaptiveTimeStepWeight",rt)}function mt(Tt){let rt=fe(Tt);return`
  var length = bodies.length;
  if (length === 0) return 0;

  ${rt("var d{var} = 0, t{var} = 0;",{indent:2})}

  for (var i = 0; i < length; ++i) {
    var body = bodies[i];
    if (body.isPinned) continue;

    if (adaptiveTimeStepWeight && body.springCount) {
      timeStep = (adaptiveTimeStepWeight * body.springLength/body.springCount);
    }

    var coeff = timeStep / body.mass;

    ${rt("body.velocity.{var} += coeff * body.force.{var};",{indent:4})}
    ${rt("var v{var} = body.velocity.{var};",{indent:4})}
    var v = Math.sqrt(${rt("v{var} * v{var}",{join:" + "})});

    if (v > 1) {
      // We normalize it so that we move within timeStep range. 
      // for the case when v <= 1 - we let velocity to fade out.
      ${rt("body.velocity.{var} = v{var} / v;",{indent:6})}
    }

    ${rt("d{var} = timeStep * body.velocity.{var};",{indent:4})}

    ${rt("body.pos.{var} += d{var};",{indent:4})}

    ${rt("t{var} += Math.abs(d{var});",{indent:4})}
  }

  return (${rt("t{var} * t{var}",{join:" + "})})/length;
`}},24454:function(Dt,Wn,Be){const fe=Be(98786),ct=Be(59321);Dt.exports=mt,Dt.exports.generateQuadTreeFunctionBody=Tt,Dt.exports.getInsertStackCode=Ct,Dt.exports.getQuadNodeCode=dt,Dt.exports.isSamePosition=rt,Dt.exports.getChildBodyCode=at,Dt.exports.setChildBodyCode=ot;function mt(St){let Et=Tt(St);return new Function(Et)()}function Tt(St){let Et=fe(St),Rt=Math.pow(2,St);return`
${Ct()}
${dt(St)}
${rt(St)}
${at(St)}
${ot(St)}

function createQuadTree(options, random) {
  options = options || {};
  options.gravity = typeof options.gravity === 'number' ? options.gravity : -1;
  options.theta = typeof options.theta === 'number' ? options.theta : 0.8;

  var gravity = options.gravity;
  var updateQueue = [];
  var insertStack = new InsertStack();
  var theta = options.theta;

  var nodesCache = [];
  var currentInCache = 0;
  var root = newNode();

  return {
    insertBodies: insertBodies,

    /**
     * Gets root node if it is present
     */
    getRoot: function() {
      return root;
    },

    updateBodyForce: update,

    options: function(newOptions) {
      if (newOptions) {
        if (typeof newOptions.gravity === 'number') {
          gravity = newOptions.gravity;
        }
        if (typeof newOptions.theta === 'number') {
          theta = newOptions.theta;
        }

        return this;
      }

      return {
        gravity: gravity,
        theta: theta
      };
    }
  };

  function newNode() {
    // To avoid pressure on GC we reuse nodes.
    var node = nodesCache[currentInCache];
    if (node) {
${Bt("      node.")}
      node.body = null;
      node.mass = ${Et("node.mass_{var} = ",{join:""})}0;
      ${Et("node.min_{var} = node.max_{var} = ",{join:""})}0;
    } else {
      node = new QuadNode();
      nodesCache[currentInCache] = node;
    }

    ++currentInCache;
    return node;
  }

  function update(sourceBody) {
    var queue = updateQueue;
    var v;
    ${Et("var d{var};",{indent:4})}
    var r; 
    ${Et("var f{var} = 0;",{indent:4})}
    var queueLength = 1;
    var shiftIdx = 0;
    var pushIdx = 1;

    queue[0] = root;

    while (queueLength) {
      var node = queue[shiftIdx];
      var body = node.body;

      queueLength -= 1;
      shiftIdx += 1;
      var differentBody = (body !== sourceBody);
      if (body && differentBody) {
        // If the current node is a leaf node (and it is not source body),
        // calculate the force exerted by the current node on body, and add this
        // amount to body's net force.
        ${Et("d{var} = body.pos.{var} - sourceBody.pos.{var};",{indent:8})}
        r = Math.sqrt(${Et("d{var} * d{var}",{join:" + "})});

        if (r === 0) {
          // Poor man's protection against zero distance.
          ${Et("d{var} = (random.nextDouble() - 0.5) / 50;",{indent:10})}
          r = Math.sqrt(${Et("d{var} * d{var}",{join:" + "})});
        }

        // This is standard gravitation force calculation but we divide
        // by r^3 to save two operations when normalizing force vector.
        v = gravity * body.mass * sourceBody.mass / (r * r * r);
        ${Et("f{var} += v * d{var};",{indent:8})}
      } else if (differentBody) {
        // Otherwise, calculate the ratio s / r,  where s is the width of the region
        // represented by the internal node, and r is the distance between the body
        // and the node's center-of-mass
        ${Et("d{var} = node.mass_{var} / node.mass - sourceBody.pos.{var};",{indent:8})}
        r = Math.sqrt(${Et("d{var} * d{var}",{join:" + "})});

        if (r === 0) {
          // Sorry about code duplication. I don't want to create many functions
          // right away. Just want to see performance first.
          ${Et("d{var} = (random.nextDouble() - 0.5) / 50;",{indent:10})}
          r = Math.sqrt(${Et("d{var} * d{var}",{join:" + "})});
        }
        // If s / r < \u03B8, treat this internal node as a single body, and calculate the
        // force it exerts on sourceBody, and add this amount to sourceBody's net force.
        if ((node.max_${ct(0)} - node.min_${ct(0)}) / r < theta) {
          // in the if statement above we consider node's width only
          // because the region was made into square during tree creation.
          // Thus there is no difference between using width or height.
          v = gravity * node.mass * sourceBody.mass / (r * r * r);
          ${Et("f{var} += v * d{var};",{indent:10})}
        } else {
          // Otherwise, run the procedure recursively on each of the current node's children.

          // I intentionally unfolded this loop, to save several CPU cycles.
${xt()}
        }
      }
    }

    ${Et("sourceBody.force.{var} += f{var};",{indent:4})}
  }

  function insertBodies(bodies) {
    ${Et("var {var}min = Number.MAX_VALUE;",{indent:4})}
    ${Et("var {var}max = Number.MIN_VALUE;",{indent:4})}
    var i = bodies.length;

    // To reduce quad tree depth we are looking for exact bounding box of all particles.
    while (i--) {
      var pos = bodies[i].pos;
      ${Et("if (pos.{var} < {var}min) {var}min = pos.{var};",{indent:6})}
      ${Et("if (pos.{var} > {var}max) {var}max = pos.{var};",{indent:6})}
    }

    // Makes the bounds square.
    var maxSideLength = -Infinity;
    ${Et("if ({var}max - {var}min > maxSideLength) maxSideLength = {var}max - {var}min ;",{indent:4})}

    currentInCache = 0;
    root = newNode();
    ${Et("root.min_{var} = {var}min;",{indent:4})}
    ${Et("root.max_{var} = {var}min + maxSideLength;",{indent:4})}

    i = bodies.length - 1;
    if (i >= 0) {
      root.body = bodies[i];
    }
    while (i--) {
      insert(bodies[i], root);
    }
  }

  function insert(newBody) {
    insertStack.reset();
    insertStack.push(root, newBody);

    while (!insertStack.isEmpty()) {
      var stackItem = insertStack.pop();
      var node = stackItem.node;
      var body = stackItem.body;

      if (!node.body) {
        // This is internal node. Update the total mass of the node and center-of-mass.
        ${Et("var {var} = body.pos.{var};",{indent:8})}
        node.mass += body.mass;
        ${Et("node.mass_{var} += body.mass * {var};",{indent:8})}

        // Recursively insert the body in the appropriate quadrant.
        // But first find the appropriate quadrant.
        var quadIdx = 0; // Assume we are in the 0's quad.
        ${Et("var min_{var} = node.min_{var};",{indent:8})}
        ${Et("var max_{var} = (min_{var} + node.max_{var}) / 2;",{indent:8})}

${jt(8)}

        var child = getChild(node, quadIdx);

        if (!child) {
          // The node is internal but this quadrant is not taken. Add
          // subnode to it.
          child = newNode();
          ${Et("child.min_{var} = min_{var};",{indent:10})}
          ${Et("child.max_{var} = max_{var};",{indent:10})}
          child.body = body;

          setChild(node, quadIdx, child);
        } else {
          // continue searching in this quadrant.
          insertStack.push(child, body);
        }
      } else {
        // We are trying to add to the leaf node.
        // We have to convert current leaf into internal node
        // and continue adding two nodes.
        var oldBody = node.body;
        node.body = null; // internal nodes do not cary bodies

        if (isSamePosition(oldBody.pos, body.pos)) {
          // Prevent infinite subdivision by bumping one node
          // anywhere in this quadrant
          var retriesCount = 3;
          do {
            var offset = random.nextDouble();
            ${Et("var d{var} = (node.max_{var} - node.min_{var}) * offset;",{indent:12})}

            ${Et("oldBody.pos.{var} = node.min_{var} + d{var};",{indent:12})}
            retriesCount -= 1;
            // Make sure we don't bump it out of the box. If we do, next iteration should fix it
          } while (retriesCount > 0 && isSamePosition(oldBody.pos, body.pos));

          if (retriesCount === 0 && isSamePosition(oldBody.pos, body.pos)) {
            // This is very bad, we ran out of precision.
            // if we do not return from the method we'll get into
            // infinite loop here. So we sacrifice correctness of layout, and keep the app running
            // Next layout iteration should get larger bounding box in the first step and fix this
            return;
          }
        }
        // Next iteration should subdivide node further.
        insertStack.push(node, oldBody);
        insertStack.push(node, body);
      }
    }
  }
}
return createQuadTree;

`;function jt(Nt){let Lt=[],Qt=Array(Nt+1).join(" ");for(let yn=0;yn<St;++yn)Lt.push(Qt+`if (${ct(yn)} > max_${ct(yn)}) {`),Lt.push(Qt+`  quadIdx = quadIdx + ${Math.pow(2,yn)};`),Lt.push(Qt+`  min_${ct(yn)} = max_${ct(yn)};`),Lt.push(Qt+`  max_${ct(yn)} = node.max_${ct(yn)};`),Lt.push(Qt+"}");return Lt.join(`
`)}function xt(){let Nt=Array(11).join(" "),Lt=[];for(let Qt=0;Qt<Rt;++Qt)Lt.push(Nt+`if (node.quad${Qt}) {`),Lt.push(Nt+`  queue[pushIdx] = node.quad${Qt};`),Lt.push(Nt+"  queueLength += 1;"),Lt.push(Nt+"  pushIdx += 1;"),Lt.push(Nt+"}");return Lt.join(`
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The error may be correlated with this previous error:
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Mt=lm({isMovingForward:Ae,destination:Xe,displaced:qe.displaced,draggables:Ge,combine:It.combine,afterCritical:Wt});return Mt==null?null:Nh({draggable:Ie,insideDestination:Ye,destination:Xe,viewport:At,last:qe.displaced,displacedBy:qe.displacedBy,index:Mt})},eh=function(ge){var Ae=ge.displaced,ye=ge.afterCritical,Ie=ge.combineWith,Ge=ge.displacedBy,Xe=!!(Ae.visible[Ie]||Ae.invisible[Ie]);return Fd(Ie,ye)?Xe?Qs:Zo(Ge.point):Xe?Ge.point:Qs},$c=function(ge){var Ae=ge.afterCritical,ye=ge.impact,Ie=ge.draggables,Ge=_c(ye);Ge||kn(!1);var Xe=Ge.draggableId,Ye=Ie[Xe].page.borderBox.center,qe=eh({displaced:ye.displaced,afterCritical:Ae,combineWith:Xe,displacedBy:ye.displacedBy});return _o(Ye,qe)},cm=function(Ae,ye){return ye.margin[Ae.start]+ye.borderBox[Ae.size]/2},vp=function(Ae,ye){return ye.margin[Ae.end]+ye.borderBox[Ae.size]/2},wu=function(Ae,ye,Ie){return ye[Ae.crossAxisStart]+Ie.margin[Ae.crossAxisStart]+Ie.borderBox[Ae.crossAxisSize]/2},uf=function(Ae){var ye=Ae.axis,Ie=Ae.moveRelativeTo,Ge=Ae.isMoving;return Ks(ye.line,Ie.marginBox[ye.end]+cm(ye,Ge),wu(ye,Ie.marginBox,Ge))},Fa=function(Ae){var ye=Ae.axis,Ie=Ae.moveRelativeTo,Ge=Ae.isMoving;return Ks(ye.line,Ie.marginBox[ye.start]-vp(ye,Ge),wu(ye,Ie.marginBox,Ge))},dm=function(Ae){var ye=Ae.axis,Ie=Ae.moveInto,Ge=Ae.isMoving;return Ks(ye.line,Ie.contentBox[ye.start]+cm(ye,Ge),wu(ye,Ie.contentBox,Ge))},u0=function(ge){var Ae=ge.impact,ye=ge.draggable,Ie=ge.draggables,Ge=ge.droppable,Xe=ge.afterCritical,Ye=Ec(Ge.descriptor.id,Ie),qe=ye.page,At=Ge.axis;if(!Ye.length)return dm({axis:At,moveInto:Ge.page,isMoving:qe});var Wt=Ae.displaced,It=Ae.displacedBy,bt=Wt.all[0];if(bt){var Mt=Ie[bt];if(Fd(bt,Xe))return Fa({axis:At,moveRelativeTo:Mt.page,isMoving:qe});var _t=Yi(Mt.page,It.point);return Fa({axis:At,moveRelativeTo:_t,isMoving:qe})}var jn=Ye[Ye.length-1];if(jn.descriptor.id===ye.descriptor.id)return qe.borderBox.center;if(Fd(jn.descriptor.id,Xe)){var Qr=Yi(jn.page,Zo(Xe.displacedBy.point));return uf({axis:At,moveRelativeTo:Qr,isMoving:qe})}return uf({axis:At,moveRelativeTo:jn.page,isMoving:qe})},th=function(ge,Ae){var ye=ge.frame;return ye?_o(Ae,ye.scroll.diff.displacement):Ae},c0=function(Ae){var ye=Ae.impact,Ie=Ae.draggable,Ge=Ae.droppable,Xe=Ae.draggables,Ye=Ae.afterCritical,qe=Ie.page.borderBox.center,At=ye.at;return!Ge||!At?qe:At.type==="REORDER"?u0({impact:ye,draggable:Ie,draggables:Xe,droppable:Ge,afterCritical:Ye}):$c({impact:ye,draggables:Xe,afterCritical:Ye})},Ap=function(ge){var Ae=c0(ge),ye=ge.droppable,Ie=ye?th(ye,Ae):Ae;return Ie},d0=function(ge,Ae){var ye=Ho(Ae,ge.scroll.initial),Ie=Zo(ye),Ge=nl({top:Ae.y,bottom:Ae.y+ge.frame.height,left:Ae.x,right:Ae.x+ge.frame.width}),Xe={frame:Ge,scroll:{initial:ge.scroll.initial,max:ge.scroll.max,current:Ae,diff:{value:ye,displacement:Ie}}};return Xe};function xp(ge,Ae){return ge.map(function(ye){return Ae[ye]})}function fm(ge,Ae){for(var ye=0;ye<Ae.length;ye++){var Ie=Ae[ye].visible[ge];if(Ie)return Ie}return null}var f0=function(ge){var Ae=ge.impact,ye=ge.viewport,Ie=ge.destination,Ge=ge.draggables,Xe=ge.maxScrollChange,Ye=d0(ye,_o(ye.scroll.current,Xe)),qe=Ie.frame?nc(Ie,_o(Ie.frame.scroll.current,Xe)):Ie,At=Ae.displaced,Wt=oo({afterDragging:xp(At.all,Ge),destination:Ie,displacedBy:Ae.displacedBy,viewport:Ye.frame,last:At,forceShouldAnimate:!1}),It=oo({afterDragging:xp(At.all,Ge),destination:qe,displacedBy:Ae.displacedBy,viewport:ye.frame,last:At,forceShouldAnimate:!1}),bt={},Mt={},_t=[At,Wt,It];At.all.forEach(function(Qr){var si=fm(Qr,_t);if(si){Mt[Qr]=si;return}bt[Qr]=!0});var jn=(0,mt.Z)({},Ae,{displaced:{all:At.all,invisible:bt,visible:Mt}});return jn},ag=function(ge,Ae){return _o(ge.scroll.diff.displacement,Ae)},nh=function(ge){var Ae=ge.pageBorderBoxCenter,ye=ge.draggable,Ie=ge.viewport,Ge=ag(Ie,Ae),Xe=Ho(Ge,ye.page.borderBox.center);return _o(ye.client.borderBox.center,Xe)},hm=function(ge){var Ae=ge.draggable,ye=ge.destination,Ie=ge.newPageBorderBoxCenter,Ge=ge.viewport,Xe=ge.withDroppableDisplacement,Ye=ge.onlyOnMainAxis,qe=Ye===void 0?!1:Ye,At=Ho(Ie,Ae.page.borderBox.center),Wt=yc(Ae.page.borderBox,At),It={target:Wt,destination:ye,withDroppableDisplacement:Xe,viewport:Ge};return qe?gd(It):dl(It)},cs=function(ge){var Ae=ge.isMovingForward,ye=ge.draggable,Ie=ge.destination,Ge=ge.draggables,Xe=ge.previousImpact,Ye=ge.viewport,qe=ge.previousPageBorderBoxCenter,At=ge.previousClientSelection,Wt=ge.afterCritical;if(!Ie.isEnabled)return null;var It=Ec(Ie.descriptor.id,Ge),bt=oc(ye,Ie),Mt=_f({isMovingForward:Ae,draggable:ye,destination:Ie,insideDestination:It,previousImpact:Xe})||um({isMovingForward:Ae,isInHomeList:bt,draggable:ye,draggables:Ge,destination:Ie,insideDestination:It,previousImpact:Xe,viewport:Ye,afterCritical:Wt});if(!Mt)return null;var _t=Ap({impact:Mt,draggable:ye,droppable:Ie,draggables:Ge,afterCritical:Wt}),jn=hm({draggable:ye,destination:Ie,newPageBorderBoxCenter:_t,viewport:Ye.frame,withDroppableDisplacement:!1,onlyOnMainAxis:!0});if(jn){var Qr=nh({pageBorderBoxCenter:_t,draggable:ye,viewport:Ye});return{clientSelection:Qr,impact:Mt,scrollJumpRequest:null}}var si=Ho(_t,qe),ri=f0({impact:Mt,viewport:Ye,destination:Ie,draggables:Ge,maxScrollChange:si});return{clientSelection:At,impact:ri,scrollJumpRequest:si}},su=function(Ae){var ye=Ae.subject.active;return ye||kn(!1),ye},Ld=function(ge){var Ae=ge.isMovingForward,ye=ge.pageBorderBoxCenter,Ie=ge.source,Ge=ge.droppables,Xe=ge.viewport,Ye=Ie.subject.active;if(!Ye)return null;var qe=Ie.axis,At=xi(Ye[qe.start],Ye[qe.end]),Wt=md(Ge).filter(function(bt){return bt!==Ie}).filter(function(bt){return bt.isEnabled}).filter(function(bt){return!!bt.subject.active}).filter(function(bt){return Da(Xe.frame)(su(bt))}).filter(function(bt){var Mt=su(bt);return Ae?Ye[qe.crossAxisEnd]<Mt[qe.crossAxisEnd]:Mt[qe.crossAxisStart]<Ye[qe.crossAxisStart]}).filter(function(bt){var Mt=su(bt),_t=xi(Mt[qe.start],Mt[qe.end]);return At(Mt[qe.start])||At(Mt[qe.end])||_t(Ye[qe.start])||_t(Ye[qe.end])}).sort(function(bt,Mt){var _t=su(bt)[qe.crossAxisStart],jn=su(Mt)[qe.crossAxisStart];return Ae?_t-jn:jn-_t}).filter(function(bt,Mt,_t){return su(bt)[qe.crossAxisStart]===su(_t[0])[qe.crossAxisStart]});if(!Wt.length)return null;if(Wt.length===1)return Wt[0];var It=Wt.filter(function(bt){var Mt=xi(su(bt)[qe.start],su(bt)[qe.end]);return Mt(ye[qe.line])});return It.length===1?It[0]:It.length>1?It.sort(function(bt,Mt){return su(bt)[qe.start]-su(Mt)[qe.start]})[0]:Wt.sort(function(bt,Mt){var _t=cl(ye,Nu(su(bt))),jn=cl(ye,Nu(su(Mt)));return _t!==jn?_t-jn:su(bt)[qe.start]-su(Mt)[qe.start]})[0]},Fh=function(Ae,ye){var Ie=Ae.page.borderBox.center;return Fd(Ae.descriptor.id,ye)?Ho(Ie,ye.displacedBy.point):Ie},yp=function(Ae,ye){var Ie=Ae.page.borderBox;return Fd(Ae.descriptor.id,ye)?yc(Ie,Zo(ye.displacedBy.point)):Ie},og=function(ge){var Ae=ge.pageBorderBoxCenter,ye=ge.viewport,Ie=ge.destination,Ge=ge.insideDestination,Xe=ge.afterCritical,Ye=Ge.filter(function(qe){return dl({target:yp(qe,Xe),destination:Ie,viewport:ye.frame,withDroppableDisplacement:!0})}).sort(function(qe,At){var Wt=iu(Ae,th(Ie,Fh(qe,Xe))),It=iu(Ae,th(Ie,Fh(At,Xe)));return Wt<It?-1:It<Wt?1:qe.descriptor.index-At.descriptor.index});return Ye[0]||null},lc=jr(function(Ae,ye){var Ie=ye[Ae.line];return{value:Ie,point:Ks(Ae.line,Ie)}}),cf=function(Ae,ye,Ie){var Ge=Ae.axis;if(Ae.descriptor.mode==="virtual")return Ks(Ge.line,ye[Ge.line]);var Xe=Ae.subject.page.contentBox[Ge.size],Ye=Ec(Ae.descriptor.id,Ie),qe=Ye.reduce(function(It,bt){return It+bt.client.marginBox[Ge.size]},0),At=qe+ye[Ge.line],Wt=At-Xe;return Wt<=0?null:Ks(Ge.line,Wt)},lo=function(Ae,ye){return(0,mt.Z)({},Ae,{scroll:(0,mt.Z)({},Ae.scroll,{max:ye})})},lg=function(Ae,ye,Ie){var Ge=Ae.frame;oc(ye,Ae)&&kn(!1),Ae.subject.withPlaceholder&&kn(!1);var Xe=lc(Ae.axis,ye.displaceBy).point,Ye=cf(Ae,Xe,Ie),qe={placeholderSize:Xe,increasedBy:Ye,oldFrameMaxScroll:Ae.frame?Ae.frame.scroll.max:null};if(!Ge){var At=hu({page:Ae.subject.page,withPlaceholder:qe,axis:Ae.axis,frame:Ae.frame});return(0,mt.Z)({},Ae,{subject:At})}var Wt=Ye?_o(Ge.scroll.max,Ye):Ge.scroll.max,It=lo(Ge,Wt),bt=hu({page:Ae.subject.page,withPlaceholder:qe,axis:Ae.axis,frame:It});return(0,mt.Z)({},Ae,{subject:bt,frame:It})},Rd=function(Ae){var ye=Ae.subject.withPlaceholder;ye||kn(!1);var Ie=Ae.frame;if(!Ie){var Ge=hu({page:Ae.subject.page,axis:Ae.axis,frame:null,withPlaceholder:null});return(0,mt.Z)({},Ae,{subject:Ge})}var Xe=ye.oldFrameMaxScroll;Xe||kn(!1);var Ye=lo(Ie,Xe),qe=hu({page:Ae.subject.page,axis:Ae.axis,frame:Ye,withPlaceholder:null});return(0,mt.Z)({},Ae,{subject:qe,frame:Ye})},ug=function(ge){var Ae=ge.previousPageBorderBoxCenter,ye=ge.moveRelativeTo,Ie=ge.insideDestination,Ge=ge.draggable,Xe=ge.draggables,Ye=ge.destination,qe=ge.viewport,At=ge.afterCritical;if(!ye){if(Ie.length)return null;var Wt={displaced:Aa,displacedBy:$f,at:{type:"REORDER",destination:{droppableId:Ye.descriptor.id,index:0}}},It=Ap({impact:Wt,draggable:Ge,droppable:Ye,draggables:Xe,afterCritical:At}),bt=oc(Ge,Ye)?Ye:lg(Ye,Ge,Xe),Mt=hm({draggable:Ge,destination:bt,newPageBorderBoxCenter:It,viewport:qe.frame,withDroppableDisplacement:!1,onlyOnMainAxis:!0});return Mt?Wt:null}var _t=Ae[Ye.axis.line]<=ye.page.borderBox.center[Ye.axis.line],jn=function(){var si=ye.descriptor.index;return ye.descriptor.id===Ge.descriptor.id||_t?si:si+1}(),Qr=lc(Ye.axis,Ge.displaceBy);return Nh({draggable:Ge,insideDestination:Ie,destination:Ye,viewport:qe,displacedBy:Qr,last:Aa,index:jn})},cg=function(ge){var Ae=ge.isMovingForward,ye=ge.previousPageBorderBoxCenter,Ie=ge.draggable,Ge=ge.isOver,Xe=ge.draggables,Ye=ge.droppables,qe=ge.viewport,At=ge.afterCritical,Wt=Ld({isMovingForward:Ae,pageBorderBoxCenter:ye,source:Ge,droppables:Ye,viewport:qe});if(!Wt)return null;var It=Ec(Wt.descriptor.id,Xe),bt=og({pageBorderBoxCenter:ye,viewport:qe,destination:Wt,insideDestination:It,afterCritical:At}),Mt=ug({previousPageBorderBoxCenter:ye,destination:Wt,draggable:Ie,draggables:Xe,moveRelativeTo:bt,insideDestination:It,viewport:qe,afterCritical:At});if(!Mt)return null;var _t=Ap({impact:Mt,draggable:Ie,droppable:Wt,draggables:Xe,afterCritical:At}),jn=nh({pageBorderBoxCenter:_t,draggable:Ie,viewport:qe});return{clientSelection:jn,impact:Mt,scrollJumpRequest:null}},au=function(ge){var Ae=ge.at;return Ae?Ae.type==="REORDER"?Ae.destination.droppableId:Ae.combine.droppableId:null},Lh=function(Ae,ye){var Ie=au(Ae);return Ie?ye[Ie]:null},vd=function(ge){var Ae=ge.state,ye=ge.type,Ie=Lh(Ae.impact,Ae.dimensions.droppables),Ge=!!Ie,Xe=Ae.dimensions.droppables[Ae.critical.droppable.id],Ye=Ie||Xe,qe=Ye.axis.direction,At=qe==="vertical"&&(ye==="MOVE_UP"||ye==="MOVE_DOWN")||qe==="horizontal"&&(ye==="MOVE_LEFT"||ye==="MOVE_RIGHT");if(At&&!Ge)return null;var Wt=ye==="MOVE_DOWN"||ye==="MOVE_RIGHT",It=Ae.dimensions.draggables[Ae.critical.draggable.id],bt=Ae.current.page.borderBoxCenter,Mt=Ae.dimensions,_t=Mt.draggables,jn=Mt.droppables;return At?cs({isMovingForward:Wt,previousPageBorderBoxCenter:bt,draggable:It,destination:Ye,draggables:_t,viewport:Ae.viewport,previousClientSelection:Ae.current.client.selection,previousImpact:Ae.impact,afterCritical:Ae.afterCritical}):cg({isMovingForward:Wt,previousPageBorderBoxCenter:bt,draggable:It,isOver:Ye,draggables:_t,droppables:jn,viewport:Ae.viewport,afterCritical:Ae.afterCritical})};function Bf(ge){return ge.phase==="DRAGGING"||ge.phase==="COLLECTING"}function bp(ge){var Ae=xi(ge.top,ge.bottom),ye=xi(ge.left,ge.right);return function(Ge){return Ae(Ge.y)&&ye(Ge.x)}}function uc(ge,Ae){return ge.left<Ae.right&&ge.right>Ae.left&&ge.top<Ae.bottom&&ge.bottom>Ae.top}function To(ge){var Ae=ge.pageBorderBox,ye=ge.draggable,Ie=ge.candidates,Ge=ye.page.borderBox.center,Xe=Ie.map(function(Ye){var qe=Ye.axis,At=Ks(Ye.axis.line,Ae.center[qe.line],Ye.page.borderBox.center[qe.crossAxisLine]);return{id:Ye.descriptor.id,distance:iu(Ge,At)}}).sort(function(Ye,qe){return qe.distance-Ye.distance});return Xe[0]?Xe[0].id:null}function gA(ge){var Ae=ge.pageBorderBox,ye=ge.draggable,Ie=ge.droppables,Ge=md(Ie).filter(function(Xe){if(!Xe.isEnabled)return!1;var Ye=Xe.subject.active;if(!Ye||!uc(Ae,Ye))return!1;if(bp(Ye)(Ae.center))return!0;var qe=Xe.axis,At=Ye.center[qe.crossAxisLine],Wt=Ae[qe.crossAxisStart],It=Ae[qe.crossAxisEnd],bt=xi(Ye[qe.crossAxisStart],Ye[qe.crossAxisEnd]),Mt=bt(Wt),_t=bt(It);return!Mt&&!_t?!0:Mt?Wt<At:It>At});return Ge.length?Ge.length===1?Ge[0].descriptor.id:To({pageBorderBox:Ae,draggable:ye,candidates:Ge}):null}var pm=function(Ae,ye){return nl(yc(Ae,ye))},Ep=function(ge,Ae){var ye=ge.frame;return ye?pm(Ae,ye.scroll.diff.value):Ae};function Rh(ge){var Ae=ge.displaced,ye=ge.id;return!!(Ae.visible[ye]||Ae.invisible[ye])}function dg(ge){var Ae=ge.draggable,ye=ge.closest,Ie=ge.inHomeList;return ye?Ie&&ye.descriptor.index>Ae.descriptor.index?ye.descriptor.index-1:ye.descriptor.index:null}var iv=function(ge){var Ae=ge.pageBorderBoxWithDroppableScroll,ye=ge.draggable,Ie=ge.destination,Ge=ge.insideDestination,Xe=ge.last,Ye=ge.viewport,qe=ge.afterCritical,At=Ie.axis,Wt=lc(Ie.axis,ye.displaceBy),It=Wt.value,bt=Ae[At.start],Mt=Ae[At.end],_t=of(ye,Ge),jn=sc(_t,function(si){var ri=si.descriptor.id,zi=si.page.borderBox.center[At.line],gs=Fd(ri,qe),Ps=Rh({displaced:Xe,id:ri});return gs?Ps?Mt<=zi:bt<zi-It:Ps?Mt<=zi+It:bt<zi}),Qr=dg({draggable:ye,closest:jn,inHomeList:oc(ye,Ie)});return Nh({draggable:ye,insideDestination:Ge,destination:Ie,viewport:Ye,last:Xe,displacedBy:Wt,index:Qr})},h0=4,mm=function(ge){var Ae=ge.draggable,ye=ge.pageBorderBoxWithDroppableScroll,Ie=ge.previousImpact,Ge=ge.destination,Xe=ge.insideDestination,Ye=ge.afterCritical;if(!Ge.isCombineEnabled)return null;var qe=Ge.axis,At=lc(Ge.axis,Ae.displaceBy),Wt=At.value,It=ye[qe.start],bt=ye[qe.end],Mt=of(Ae,Xe),_t=sc(Mt,function(Qr){var si=Qr.descriptor.id,ri=Qr.page.borderBox,zi=ri[qe.size],gs=zi/h0,Ps=Fd(si,Ye),ya=Rh({displaced:Ie.displaced,id:si});return Ps?ya?bt>ri[qe.start]+gs&&bt<ri[qe.end]-gs:It>ri[qe.start]-Wt+gs&&It<ri[qe.end]-Wt-gs:ya?bt>ri[qe.start]+Wt+gs&&bt<ri[qe.end]+Wt-gs:It>ri[qe.start]+gs&&It<ri[qe.end]-gs});if(!_t)return null;var jn={displacedBy:At,displaced:Ie.displaced,at:{type:"COMBINE",combine:{draggableId:_t.descriptor.id,droppableId:Ge.descriptor.id}}};return jn},fg=function(ge){var Ae=ge.pageOffset,ye=ge.draggable,Ie=ge.draggables,Ge=ge.droppables,Xe=ge.previousImpact,Ye=ge.viewport,qe=ge.afterCritical,At=pm(ye.page.borderBox,Ae),Wt=gA({pageBorderBox:At,draggable:ye,droppables:Ge});if(!Wt)return Gs;var It=Ge[Wt],bt=Ec(It.descriptor.id,Ie),Mt=Ep(It,At);return mm({pageBorderBoxWithDroppableScroll:Mt,draggable:ye,previousImpact:Xe,destination:It,insideDestination:bt,afterCritical:qe})||iv({pageBorderBoxWithDroppableScroll:Mt,draggable:ye,destination:It,insideDestination:bt,last:Xe.displaced,viewport:Ye,afterCritical:qe})},Oh=function(ge,Ae){var ye;return(0,mt.Z)({},ge,(ye={},ye[Ae.descriptor.id]=Ae,ye))},wc=function(Ae){var ye=Ae.previousImpact,Ie=Ae.impact,Ge=Ae.droppables,Xe=au(ye),Ye=au(Ie);if(!Xe||Xe===Ye)return Ge;var qe=Ge[Xe];if(!qe.subject.withPlaceholder)return Ge;var At=Rd(qe);return Oh(Ge,At)},sv=function(ge){var Ae=ge.draggable,ye=ge.draggables,Ie=ge.droppables,Ge=ge.previousImpact,Xe=ge.impact,Ye=wc({previousImpact:Ge,impact:Xe,droppables:Ie}),qe=au(Xe);if(!qe)return Ye;var At=Ie[qe];if(oc(Ae,At)||At.subject.withPlaceholder)return Ye;var Wt=lg(At,Ae,ye);return Oh(Ye,Wt)},Mf=function(ge){var Ae=ge.state,ye=ge.clientSelection,Ie=ge.dimensions,Ge=ge.viewport,Xe=ge.impact,Ye=ge.scrollJumpRequest,qe=Ge||Ae.viewport,At=Ie||Ae.dimensions,Wt=ye||Ae.current.client.selection,It=Ho(Wt,Ae.initial.client.selection),bt={offset:It,selection:Wt,borderBoxCenter:_o(Ae.initial.client.borderBoxCenter,It)},Mt={selection:_o(bt.selection,qe.scroll.current),borderBoxCenter:_o(bt.borderBoxCenter,qe.scroll.current),offset:_o(bt.offset,qe.scroll.diff.value)},_t={client:bt,page:Mt};if(Ae.phase==="COLLECTING")return(0,mt.Z)({phase:"COLLECTING"},Ae,{dimensions:At,viewport:qe,current:_t});var jn=At.draggables[Ae.critical.draggable.id],Qr=Xe||fg({pageOffset:Mt.offset,draggable:jn,draggables:At.draggables,droppables:At.droppables,previousImpact:Ae.impact,viewport:qe,afterCritical:Ae.afterCritical}),si=sv({draggable:jn,impact:Qr,previousImpact:Ae.impact,draggables:At.draggables,droppables:At.droppables}),ri=(0,mt.Z)({},Ae,{current:_t,dimensions:{draggables:At.draggables,droppables:si},impact:Qr,viewport:qe,scrollJumpRequest:Ye||null,forceShouldAnimate:Ye?!1:null});return ri};function wp(ge,Ae){return ge.map(function(ye){return Ae[ye]})}var p0=function(ge){var Ae=ge.impact,ye=ge.viewport,Ie=ge.draggables,Ge=ge.destination,Xe=ge.forceShouldAnimate,Ye=Ae.displaced,qe=wp(Ye.all,Ie),At=oo({afterDragging:qe,destination:Ge,displacedBy:Ae.displacedBy,viewport:ye.frame,forceShouldAnimate:Xe,last:Ye});return(0,mt.Z)({},Ae,{displaced:At})},hg=function(ge){var Ae=ge.impact,ye=ge.draggable,Ie=ge.droppable,Ge=ge.draggables,Xe=ge.viewport,Ye=ge.afterCritical,qe=Ap({impact:Ae,draggable:ye,draggables:Ge,droppable:Ie,afterCritical:Ye});return nh({pageBorderBoxCenter:qe,draggable:ye,viewport:Xe})},Cp=function(ge){var Ae=ge.state,ye=ge.dimensions,Ie=ge.viewport;Ae.movementMode!=="SNAP"&&kn(!1);var Ge=Ae.impact,Xe=Ie||Ae.viewport,Ye=ye||Ae.dimensions,qe=Ye.draggables,At=Ye.droppables,Wt=qe[Ae.critical.draggable.id],It=au(Ge);It||kn(!1);var bt=At[It],Mt=p0({impact:Ge,viewport:Xe,destination:bt,draggables:qe}),_t=hg({impact:Mt,draggable:Wt,droppable:bt,draggables:qe,viewport:Xe,afterCritical:Ae.afterCritical});return Mf({impact:Mt,clientSelection:_t,state:Ae,dimensions:Ye,viewport:Xe})},m0=function(ge){return{index:ge.index,droppableId:ge.droppableId}},g0=function(ge){var Ae=ge.draggable,ye=ge.home,Ie=ge.draggables,Ge=ge.viewport,Xe=lc(ye.axis,Ae.displaceBy),Ye=Ec(ye.descriptor.id,Ie),qe=Ye.indexOf(Ae);qe===-1&&kn(!1);var At=Ye.slice(qe+1),Wt=At.reduce(function(_t,jn){return _t[jn.descriptor.id]=!0,_t},{}),It={inVirtualList:ye.descriptor.mode==="virtual",displacedBy:Xe,effected:Wt},bt=oo({afterDragging:At,destination:ye,displacedBy:Xe,last:null,viewport:Ge.frame,forceShouldAnimate:!1}),Mt={displaced:bt,displacedBy:Xe,at:{type:"REORDER",destination:m0(Ae.descriptor)}};return{impact:Mt,afterCritical:It}},av=function(ge,Ae){return{draggables:ge.draggables,droppables:Oh(ge.droppables,Ae)}},zc=function(Ae){},Od=function(Ae){},Pp=function(ge){var Ae=ge.draggable,ye=ge.offset,Ie=ge.initialWindowScroll,Ge=Yi(Ae.client,ye),Xe=ls(Ge,Ie),Ye=(0,mt.Z)({},Ae,{placeholder:(0,mt.Z)({},Ae.placeholder,{client:Ge}),client:Ge,page:Xe});return Ye},pg=function(ge){var Ae=ge.frame;return Ae||kn(!1),Ae},mg=function(ge){var Ae=ge.additions,ye=ge.updatedDroppables,Ie=ge.viewport,Ge=Ie.scroll.diff.value;return Ae.map(function(Xe){var Ye=Xe.descriptor.droppableId,qe=ye[Ye],At=pg(qe),Wt=At.scroll.diff.value,It=_o(Ge,Wt),bt=Pp({draggable:Xe,offset:It,initialWindowScroll:Ie.scroll.initial});return bt})},gg=function(ge){var Ae=ge.state,ye=ge.published;zc();var Ie=ye.modified.map(function(gs){var Ps=Ae.dimensions.droppables[gs.droppableId],ya=nc(Ps,gs.scroll);return ya}),Ge=(0,mt.Z)({},Ae.dimensions.droppables,{},Sf(Ie)),Xe=Nd(mg({additions:ye.additions,updatedDroppables:Ge,viewport:Ae.viewport})),Ye=(0,mt.Z)({},Ae.dimensions.draggables,{},Xe);ye.removals.forEach(function(gs){delete Ye[gs]});var qe={droppables:Ge,draggables:Ye},At=au(Ae.impact),Wt=At?qe.droppables[At]:null,It=qe.draggables[Ae.critical.draggable.id],bt=qe.droppables[Ae.critical.droppable.id],Mt=g0({draggable:It,home:bt,draggables:Ye,viewport:Ae.viewport}),_t=Mt.impact,jn=Mt.afterCritical,Qr=Wt&&Wt.isCombineEnabled?Ae.impact:_t,si=fg({pageOffset:Ae.current.page.offset,draggable:qe.draggables[Ae.critical.draggable.id],draggables:qe.draggables,droppables:qe.droppables,previousImpact:Qr,viewport:Ae.viewport,afterCritical:jn});Od();var ri=(0,mt.Z)({phase:"DRAGGING"},Ae,{phase:"DRAGGING",impact:si,onLiftImpact:_t,dimensions:qe,afterCritical:jn,forceShouldAnimate:!1});if(Ae.phase==="COLLECTING")return ri;var zi=(0,mt.Z)({phase:"DROP_PENDING"},ri,{phase:"DROP_PENDING",reason:Ae.reason,isWaiting:!1});return zi},Sp=function(Ae){return Ae.movementMode==="SNAP"},df=function(Ae,ye,Ie){var Ge=av(Ae.dimensions,ye);return!Sp(Ae)||Ie?Mf({state:Ae,dimensions:Ge}):Cp({state:Ae,dimensions:Ge})};function zd(ge){return ge.isDragging&&ge.movementMode==="SNAP"?(0,mt.Z)({phase:"DRAGGING"},ge,{scrollJumpRequest:null}):ge}var Lu={phase:"IDLE",completed:null,shouldFlush:!1},Tf=function(ge,Ae){if(ge===void 0&&(ge=Lu),Ae.type==="FLUSH")return(0,mt.Z)({},Lu,{shouldFlush:!0});if(Ae.type==="INITIAL_PUBLISH"){ge.phase!=="IDLE"&&kn(!1);var ye=Ae.payload,Ie=ye.critical,Ge=ye.clientSelection,Xe=ye.viewport,Ye=ye.dimensions,qe=ye.movementMode,At=Ye.draggables[Ie.draggable.id],Wt=Ye.droppables[Ie.droppable.id],It={selection:Ge,borderBoxCenter:At.client.borderBox.center,offset:Qs},bt={client:It,page:{selection:_o(It.selection,Xe.scroll.initial),borderBoxCenter:_o(It.selection,Xe.scroll.initial),offset:_o(It.selection,Xe.scroll.diff.value)}},Mt=md(Ye.droppables).every(function(EA){return!EA.isFixedOnPage}),_t=g0({draggable:At,home:Wt,draggables:Ye.draggables,viewport:Xe}),jn=_t.impact,Qr=_t.afterCritical,si={phase:"DRAGGING",isDragging:!0,critical:Ie,movementMode:qe,dimensions:Ye,initial:bt,current:bt,isWindowScrollAllowed:Mt,impact:jn,afterCritical:Qr,onLiftImpact:jn,viewport:Xe,scrollJumpRequest:null,forceShouldAnimate:null};return si}if(Ae.type==="COLLECTION_STARTING"){if(ge.phase==="COLLECTING"||ge.phase==="DROP_PENDING")return ge;ge.phase!=="DRAGGING"&&kn(!1);var ri=(0,mt.Z)({phase:"COLLECTING"},ge,{phase:"COLLECTING"});return ri}if(Ae.type==="PUBLISH_WHILE_DRAGGING")return ge.phase==="COLLECTING"||ge.phase==="DROP_PENDING"||kn(!1),gg({state:ge,published:Ae.payload});if(Ae.type==="MOVE"){if(ge.phase==="DROP_PENDING")return ge;Bf(ge)||kn(!1);var zi=Ae.payload.client;return Iu(zi,ge.current.client.selection)?ge:Mf({state:ge,clientSelection:zi,impact:Sp(ge)?ge.impact:null})}if(Ae.type==="UPDATE_DROPPABLE_SCROLL"){if(ge.phase==="DROP_PENDING"||ge.phase==="COLLECTING")return zd(ge);Bf(ge)||kn(!1);var gs=Ae.payload,Ps=gs.id,ya=gs.newScroll,Ga=ge.dimensions.droppables[Ps];if(!Ga)return ge;var Po=nc(Ga,ya);return df(ge,Po,!1)}if(Ae.type==="UPDATE_DROPPABLE_IS_ENABLED"){if(ge.phase==="DROP_PENDING")return ge;Bf(ge)||kn(!1);var Ul=Ae.payload,wn=Ul.id,cr=Ul.isEnabled,no=ge.dimensions.droppables[wn];no||kn(!1),no.isEnabled===cr&&kn(!1);var Xc=(0,mt.Z)({},no,{isEnabled:cr});return 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bA=Ae.payload.completed;return{phase:"IDLE",completed:bA,shouldFlush:!1}}return ge},Df=function(Ae){return{type:"BEFORE_INITIAL_CAPTURE",payload:Ae}},vg=function(Ae){return{type:"LIFT",payload:Ae}},v0=function(Ae){return{type:"INITIAL_PUBLISH",payload:Ae}},Ag=function(Ae){return{type:"PUBLISH_WHILE_DRAGGING",payload:Ae}},Bp=function(){return{type:"COLLECTION_STARTING",payload:null}},A0=function(Ae){return{type:"UPDATE_DROPPABLE_SCROLL",payload:Ae}},x0=function(Ae){return{type:"UPDATE_DROPPABLE_IS_ENABLED",payload:Ae}},xg=function(Ae){return{type:"UPDATE_DROPPABLE_IS_COMBINE_ENABLED",payload:Ae}},ov=function(Ae){return{type:"MOVE",payload:Ae}},y0=function(Ae){return{type:"MOVE_BY_WINDOW_SCROLL",payload:Ae}},lv=function(Ae){return{type:"UPDATE_VIEWPORT_MAX_SCROLL",payload:Ae}},yg=function(){return{type:"MOVE_UP",payload:null}},If=function(){return{type:"MOVE_DOWN",payload:null}},zh=function(){return{type:"MOVE_RIGHT",payload:null}},gm=function(){return{type:"MOVE_LEFT",payload:null}},bg=function(){return{type:"FLUSH",payload:null}},Ee=function(Ae){return{type:"DROP_ANIMATE",payload:Ae}},Ue=function(Ae){return{type:"DROP_COMPLETE",payload:Ae}},Oe=function(Ae){return{type:"DROP",payload:Ae}},tt=function(Ae){return{type:"DROP_PENDING",payload:Ae}},it=function(){return{type:"DROP_ANIMATION_FINISHED",payload:null}};function Gt(ge){if(!(ge.length<=1)){for(var Ae=ge.map(function(qe){return qe.descriptor.index}),ye={},Ie=1;Ie<Ae.length;Ie++){var Ge=Ae[Ie],Xe=Ae[Ie-1];Ge!==Xe+1&&(ye[Ge]=!0)}if(Object.keys(ye).length)var Ye=Ae.map(function(qe){var At=!!ye[qe];return At?"[\u{1F525}"+qe+"]":""+qe}).join(", ")}}function en(ge,Ae){if(0)var ye}var ln=function(ge){return function(Ae){var ye=Ae.getState,Ie=Ae.dispatch;return function(Ge){return function(Xe){if(Xe.type!=="LIFT"){Ge(Xe);return}var Ye=Xe.payload,qe=Ye.id,At=Ye.clientSelection,Wt=Ye.movementMode,It=ye();It.phase==="DROP_ANIMATING"&&Ie(Ue({completed:It.completed})),ye().phase!=="IDLE"&&kn(!1),Ie(bg()),Ie(Df({draggableId:qe,movementMode:Wt}));var bt={shouldPublishImmediately:Wt==="SNAP"},Mt={draggableId:qe,scrollOptions:bt},_t=ge.startPublishing(Mt),jn=_t.critical,Qr=_t.dimensions,si=_t.viewport;en(jn,Qr),Ie(v0({critical:jn,dimensions:Qr,clientSelection:At,movementMode:Wt,viewport:si}))}}}},Rn=function(ge){return function(){return function(Ae){return function(ye){ye.type==="INITIAL_PUBLISH"&&ge.dragging(),ye.type==="DROP_ANIMATE"&&ge.dropping(ye.payload.completed.result.reason),(ye.type==="FLUSH"||ye.type==="DROP_COMPLETE")&&ge.resting(),Ae(ye)}}}},Un={outOfTheWay:"cubic-bezier(0.2, 0, 0, 1)",drop:"cubic-bezier(.2,1,.1,1)"},un={opacity:{drop:0,combining:.7},scale:{drop:.75}},_n={outOfTheWay:.2,minDropTime:.33,maxDropTime:.55},er=_n.outOfTheWay+"s "+Un.outOfTheWay,ur={fluid:"opacity "+er,snap:"transform "+er+", opacity "+er,drop:function(Ae){var ye=Ae+"s "+Un.drop;return"transform "+ye+", opacity "+ye},outOfTheWay:"transform "+er,placeholder:"height "+er+", width "+er+", margin "+er},ir=function(Ae){return Iu(Ae,Qs)?null:"translate("+Ae.x+"px, "+Ae.y+"px)"},dr={moveTo:ir,drop:function(Ae,ye){var Ie=ir(Ae);return Ie?ye?Ie+" scale("+un.scale.drop+")":Ie:null}},lr=_n.minDropTime,Vn=_n.maxDropTime,Jr=Vn-lr,Or=1500,Cr=.6,ti=function(ge){var Ae=ge.current,ye=ge.destination,Ie=ge.reason,Ge=iu(Ae,ye);if(Ge<=0)return lr;if(Ge>=Or)return Vn;var Xe=Ge/Or,Ye=lr+Jr*Xe,qe=Ie==="CANCEL"?Ye*Cr:Ye;return Number(qe.toFixed(2))},Fr=function(ge){var Ae=ge.impact,ye=ge.draggable,Ie=ge.dimensions,Ge=ge.viewport,Xe=ge.afterCritical,Ye=Ie.draggables,qe=Ie.droppables,At=au(Ae),Wt=At?qe[At]:null,It=qe[ye.descriptor.droppableId],bt=hg({impact:Ae,draggable:ye,draggables:Ye,afterCritical:Xe,droppable:Wt||It,viewport:Ge}),Mt=Ho(bt,ye.client.borderBox.center);return Mt},Hr=function(ge){var Ae=ge.draggables,ye=ge.reason,Ie=ge.lastImpact,Ge=ge.home,Xe=ge.viewport,Ye=ge.onLiftImpact;if(!Ie.at||ye!=="DROP"){var qe=p0({draggables:Ae,impact:Ye,destination:Ge,viewport:Xe,forceShouldAnimate:!0});return{impact:qe,didDropInsideDroppable:!1}}if(Ie.at.type==="REORDER")return{impact:Ie,didDropInsideDroppable:!0};var At=(0,mt.Z)({},Ie,{displaced:Aa});return{impact:At,didDropInsideDroppable:!0}},_i=function(ge){var Ae=ge.getState,ye=ge.dispatch;return function(Ie){return function(Ge){if(Ge.type!=="DROP"){Ie(Ge);return}var Xe=Ae(),Ye=Ge.payload.reason;if(Xe.phase==="COLLECTING"){ye(tt({reason:Ye}));return}if(Xe.phase!=="IDLE"){var qe=Xe.phase==="DROP_PENDING"&&Xe.isWaiting;qe&&kn(!1),Xe.phase==="DRAGGING"||Xe.phase==="DROP_PENDING"||kn(!1);var At=Xe.critical,Wt=Xe.dimensions,It=Wt.draggables[Xe.critical.draggable.id],bt=Hr({reason:Ye,lastImpact:Xe.impact,afterCritical:Xe.afterCritical,onLiftImpact:Xe.onLiftImpact,home:Xe.dimensions.droppables[Xe.critical.droppable.id],viewport:Xe.viewport,draggables:Xe.dimensions.draggables}),Mt=bt.impact,_t=bt.didDropInsideDroppable,jn=_t?Ql(Mt):null,Qr=_t?_c(Mt):null,si={index:At.draggable.index,droppableId:At.droppable.id},ri={draggableId:It.descriptor.id,type:It.descriptor.type,source:si,reason:Ye,mode:Xe.movementMode,destination:jn,combine:Qr},zi=Fr({impact:Mt,draggable:It,dimensions:Wt,viewport:Xe.viewport,afterCritical:Xe.afterCritical}),gs={critical:Xe.critical,afterCritical:Xe.afterCritical,result:ri,impact:Mt},Ps=!Iu(Xe.current.client.offset,zi)||!!ri.combine;if(!Ps){ye(Ue({completed:gs}));return}var ya=ti({current:Xe.current.client.offset,destination:zi,reason:Ye}),Ga={newHomeClientOffset:zi,dropDuration:ya,completed:gs};ye(Ee(Ga))}}}},Bi=function(){return{x:window.pageXOffset,y:window.pageYOffset}};function Ni(ge){return{eventName:"scroll",options:{passive:!0,capture:!1},fn:function(ye){ye.target!==window&&ye.target!==window.document||ge()}}}function yi(ge){var Ae=ge.onWindowScroll;function ye(){Ae(Bi())}var Ie=ps(ye),Ge=Ni(Ie),Xe=va;function Ye(){return Xe!==va}function qe(){Ye()&&kn(!1),Xe=vo(window,[Ge])}function At(){Ye()||kn(!1),Ie.cancel(),Xe(),Xe=va}return{start:qe,stop:At,isActive:Ye}}var ms=function(Ae){return Ae.type==="DROP_COMPLETE"||Ae.type==="DROP_ANIMATE"||Ae.type==="FLUSH"},Fi=function(ge){var Ae=yi({onWindowScroll:function(Ie){ge.dispatch(y0({newScroll:Ie}))}});return function(ye){return function(Ie){!Ae.isActive()&&Ie.type==="INITIAL_PUBLISH"&&Ae.start(),Ae.isActive()&&ms(Ie)&&Ae.stop(),ye(Ie)}}},fi=function(ge){var Ae=!1,ye=!1,Ie=setTimeout(function(){ye=!0}),Ge=function(Ye){Ae||ye||(Ae=!0,ge(Ye),clearTimeout(Ie))};return Ge.wasCalled=function(){return Ae},Ge},Wr=function(){var ge=[],Ae=function(Xe){var Ye=Za(ge,function(Wt){return Wt.timerId===Xe});Ye===-1&&kn(!1);var qe=ge.splice(Ye,1),At=qe[0];At.callback()},ye=function(Xe){var Ye=setTimeout(function(){return Ae(Ye)}),qe={timerId:Ye,callback:Xe};ge.push(qe)},Ie=function(){if(ge.length){var Xe=[].concat(ge);ge.length=0,Xe.forEach(function(Ye){clearTimeout(Ye.timerId),Ye.callback()})}};return{add:ye,flush:Ie}},ii=function(Ae,ye){return Ae==null&&ye==null?!0:Ae==null||ye==null?!1:Ae.droppableId===ye.droppableId&&Ae.index===ye.index},ui=function(Ae,ye){return Ae==null&&ye==null?!0:Ae==null||ye==null?!1:Ae.draggableId===ye.draggableId&&Ae.droppableId===ye.droppableId},Cs=function(Ae,ye){if(Ae===ye)return!0;var Ie=Ae.draggable.id===ye.draggable.id&&Ae.draggable.droppableId===ye.draggable.droppableId&&Ae.draggable.type===ye.draggable.type&&Ae.draggable.index===ye.draggable.index,Ge=Ae.droppable.id===ye.droppable.id&&Ae.droppable.type===ye.droppable.type;return Ie&&Ge},is=function(Ae,ye){zc(),ye(),Od()},Si=function(Ae,ye){return{draggableId:Ae.draggable.id,type:Ae.droppable.type,source:{droppableId:Ae.droppable.id,index:Ae.draggable.index},mode:ye}},Li=function(Ae,ye,Ie,Ge){if(!Ae){Ie(Ge(ye));return}var Xe=fi(Ie),Ye={announce:Xe};Ae(ye,Ye),Xe.wasCalled()||Ie(Ge(ye))},ci=function(ge,Ae){var ye=Wr(),Ie=null,Ge=function(Mt,_t){Ie&&kn(!1),is("onBeforeCapture",function(){var jn=ge().onBeforeCapture;if(jn){var Qr={draggableId:Mt,mode:_t};jn(Qr)}})},Xe=function(Mt,_t){Ie&&kn(!1),is("onBeforeDragStart",function(){var jn=ge().onBeforeDragStart;jn&&jn(Si(Mt,_t))})},Ye=function(Mt,_t){Ie&&kn(!1);var jn=Si(Mt,_t);Ie={mode:_t,lastCritical:Mt,lastLocation:jn.source,lastCombine:null},ye.add(function(){is("onDragStart",function(){return Li(ge().onDragStart,jn,Ae,gl.onDragStart)})})},qe=function(Mt,_t){var jn=Ql(_t),Qr=_c(_t);Ie||kn(!1);var si=!Cs(Mt,Ie.lastCritical);si&&(Ie.lastCritical=Mt);var ri=!ii(Ie.lastLocation,jn);ri&&(Ie.lastLocation=jn);var zi=!ui(Ie.lastCombine,Qr);if(zi&&(Ie.lastCombine=Qr),!(!si&&!ri&&!zi)){var gs=(0,mt.Z)({},Si(Mt,Ie.mode),{combine:Qr,destination:jn});ye.add(function(){is("onDragUpdate",function(){return Li(ge().onDragUpdate,gs,Ae,gl.onDragUpdate)})})}},At=function(){Ie||kn(!1),ye.flush()},Wt=function(Mt){Ie||kn(!1),Ie=null,is("onDragEnd",function(){return Li(ge().onDragEnd,Mt,Ae,gl.onDragEnd)})},It=function(){if(Ie){var Mt=(0,mt.Z)({},Si(Ie.lastCritical,Ie.mode),{combine:null,destination:null,reason:"CANCEL"});Wt(Mt)}};return{beforeCapture:Ge,beforeStart:Xe,start:Ye,update:qe,flush:At,drop:Wt,abort:It}},Oi=function(ge,Ae){var ye=ci(ge,Ae);return function(Ie){return function(Ge){return function(Xe){if(Xe.type==="BEFORE_INITIAL_CAPTURE"){ye.beforeCapture(Xe.payload.draggableId,Xe.payload.movementMode);return}if(Xe.type==="INITIAL_PUBLISH"){var Ye=Xe.payload.critical;ye.beforeStart(Ye,Xe.payload.movementMode),Ge(Xe),ye.start(Ye,Xe.payload.movementMode);return}if(Xe.type==="DROP_COMPLETE"){var qe=Xe.payload.completed.result;ye.flush(),Ge(Xe),ye.drop(qe);return}if(Ge(Xe),Xe.type==="FLUSH"){ye.abort();return}var At=Ie.getState();At.phase==="DRAGGING"&&ye.update(At.critical,At.impact)}}}},Di=function(ge){return function(Ae){return function(ye){if(ye.type!=="DROP_ANIMATION_FINISHED"){Ae(ye);return}var Ie=ge.getState();Ie.phase!=="DROP_ANIMATING"&&kn(!1),ge.dispatch(Ue({completed:Ie.completed}))}}},Zs=function(ge){var Ae=null,ye=null;function Ie(){ye&&(cancelAnimationFrame(ye),ye=null),Ae&&(Ae(),Ae=null)}return function(Ge){return 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ye=null,Ie=ma({callbacks:{publish:Ae.publishWhileDragging,collectionStarting:Ae.collectionStarting},registry:ge}),Ge=function(_t,jn){ge.droppable.exists(_t)||kn(!1),ye&&Ae.updateDroppableIsEnabled({id:_t,isEnabled:jn})},Xe=function(_t,jn){ye&&(ge.droppable.exists(_t)||kn(!1),Ae.updateDroppableIsCombineEnabled({id:_t,isCombineEnabled:jn}))},Ye=function(_t,jn){ye&&(ge.droppable.exists(_t)||kn(!1),Ae.updateDroppableScroll({id:_t,newScroll:jn}))},qe=function(_t,jn){ye&&ge.droppable.getById(_t).callbacks.scroll(jn)},At=function(){if(ye){Ie.stop();var _t=ye.critical.droppable;ge.droppable.getAllByType(_t.type).forEach(function(jn){return jn.callbacks.dragStopped()}),ye.unsubscribe(),ye=null}},Wt=function(_t){ye||kn(!1);var jn=ye.critical.draggable;_t.type==="ADDITION"&&Eo(ge,jn,_t.value)&&Ie.add(_t.value),_t.type==="REMOVAL"&&Eo(ge,jn,_t.value)&&Ie.remove(_t.value)},It=function(_t){ye&&kn(!1);var jn=ge.draggable.getById(_t.draggableId),Qr=ge.droppable.getById(jn.descriptor.droppableId),si={draggable:jn.descriptor,droppable:Qr.descriptor},ri=ge.subscribe(Wt);return ye={critical:si,unsubscribe:ri},Lo({critical:si,registry:ge,scrollOptions:_t.scrollOptions})},bt={updateDroppableIsEnabled:Ge,updateDroppableIsCombineEnabled:Xe,scrollDroppable:qe,updateDroppableScroll:Ye,startPublishing:It,stopPublishing:At};return bt},Gi=function(ge,Ae){return ge.phase==="IDLE"?!0:ge.phase!=="DROP_ANIMATING"||ge.completed.result.draggableId===Ae?!1:ge.completed.result.reason==="DROP"},ho=function(ge){window.scrollBy(ge.x,ge.y)},po=jr(function(ge){return md(ge).filter(function(Ae){return!(!Ae.isEnabled||!Ae.frame)})}),Ro=function(Ae,ye){var Ie=sc(po(ye),function(Ge){return Ge.frame||kn(!1),bp(Ge.frame.pageMarginBox)(Ae)});return Ie},$a=function(ge){var Ae=ge.center,ye=ge.destination,Ie=ge.droppables;if(ye){var Ge=Ie[ye];return Ge.frame?Ge:null}var Xe=Ro(Ae,Ie);return 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Ae=ge.state,ye=ge.dragStartTime,Ie=ge.shouldUseTimeDampening,Ge=ge.scrollWindow,Xe=ge.scrollDroppable,Ye=Ae.current.page.borderBoxCenter,qe=Ae.dimensions.draggables[Ae.critical.draggable.id],At=qe.page.marginBox;if(Ae.isWindowScrollAllowed){var Wt=Ae.viewport,It=kc({dragStartTime:ye,viewport:Wt,subject:At,center:Ye,shouldUseTimeDampening:Ie});if(It){Ge(It);return}}var bt=$a({center:Ye,destination:au(Ae.impact),droppables:Ae.dimensions.droppables});if(bt){var Mt=Nf({dragStartTime:ye,droppable:bt,subject:At,center:Ye,shouldUseTimeDampening:Ie});Mt&&Xe(bt.descriptor.id,Mt)}},Cc=function(ge){var Ae=ge.scrollWindow,ye=ge.scrollDroppable,Ie=ps(Ae),Ge=ps(ye),Xe=null,Ye=function(It){Xe||kn(!1);var bt=Xe,Mt=bt.shouldUseTimeDampening,_t=bt.dragStartTime;kd({state:It,scrollWindow:Ie,scrollDroppable:Ge,dragStartTime:_t,shouldUseTimeDampening:Mt})},qe=function(It){zc(),Xe&&kn(!1);var 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"},11051:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},30711:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},64690:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},40517:function(Dt){"use strict";Dt.exports="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHYAAACMCAYAAACprl1uAAAQAElEQVR4AdxcB4BVxdX+Zube9/ZtZTu9gzQVxd6NXWNXjA17wai/FbtuojFqSDQae4xGY2Lwt5vEmNgVEbEDCtI7bO/7yr3zf2fePliWpcSg4n+95007M3PmfHPOlLuo8QN/dj1+cWzMubbvHmcnxuxxtv1mNN6O2etsO3yP8bYQFfYHrxOB9Ic7iOOt2W9cQ7Ff2rt/zKAU8GU834ySQGCQE6aS/cYsQ+8xh0/L/mYNbTm19JYjyqZKYvUhF9n8vXIwMB7J6x8EyAGB2dTa6+NTAawKfC8rhbKcHlsP2vNc2wOcPOvj39Lzf0DAWrXrpTa23VltfZqTGBREUQA+AgiDzfIqDSsUpCLRMIVeuxWi/+4TbN4P0T3/IIClhUb3vATdvUYMiemsMipdb05AO88KAVcoolBoGpKDd6d7lkkF4t6Zd0tNb9nA0hXuc3lDSUMbBoet6GUBX1uE35UyU3TPYcrXUCjz2jBEJhc3av/FYv5dSQ7o766r/6Qnqw481ebs0Q2DUvV5/ZSHrG/TQrGRR/qWSSWTK1thyH7jbPGWvv5uccD2P91m7XM2erXlYChN062jm2NztBHsNl7MDZoDWCMWj6D/PlEM2JLX3y0G2OPF7V7Q1L2nweCEQg9ZR79Lt7shZJvbkKqsRTKeQpBscZxI5qCb34RBu1WiT+/jbSydu+X86u9fFKv2Od12W1yAockgp7eyyNpSAJUNVFUlEmccjd73XBEecuahwYDCbtDJJCDWm0rAoBllA0owZMy5lT04OSPYQp7vEVirdj+zMu9HF2FgysMgEyJHlCXK3BJ0IxunIIHwN1djl9ED8TMT1T8fOtjs3qsYESnLyKg9hDYJPytV0mtFEQbvd82Wsf5+L8D25zq6+6noY03JoLY2FNkQaksBFHzE9XYvgrr9kvAnvsFNy+uwvVGYO3sxPlm8HG2egSLbWq/iGTgEsuOV6L9XTnzgPsevyv0+j0ffKbDHT7LmIN7olHuJoTYL5XS5hhSKUtbS0veUEDlqG5E6bHcUX3oqxtU26wuWVqNXbhZSiRT+8dEMLKpuhPX9rgUUjyMlQTRakOhWOnj/c1v7DL7IRiXvu6bvCFir9rjaFi5+FUObFHoZFYnq7/A8uilKFbfbRtd7+SnBkAN3w8WNbTirphF5PlfNWAQfz1kWTJm3AM1dWWvn9gVgkteSiJX3jGMoL1hK96mwXme+bzP9rQPLQeXvdV58cLIKAzPrqICaXM+oMvkSCnVk21g6w7sxPinPkNRpakEwoE/Sv+V87D+wl7lxRS0Or6pFjuXhNT+CtkQCr70zxS6pbyE3rVXqMoaOYSaeyVd0zbL+BilEGxLo17YEQ3Y9yxZ9V+75WwN2xPHTIztf1NK7vg0DVRjt5nPEMlhRgJCkmbXOm8mXUEh4MyTpdSp0yhBe4ZMwQ5LuxAbJo1VZcb1H7Ylu54/1TyQQlyyrwdbNrXB64fqK/DzMnMu1dUm1F89Yq9SV9jqGEu+qPxmz9KMVctlpvz0uwYADr1iRI/W/TXID2LwdWL3nNbY0O3/IUNMW68EdpNdGtyuD7tiPpDOUyc+kO4aZMgkz+RLPUCYvE0q+xCXMkKSFMmkJW9tgA5sMf3o8Buy3G37a0IKzVnA9jZNRdkZirYV5SLTG8e+PZmOFHHEyaytZnLV2DKXNDGXyO6YD6sCkoMNmFNc1lg/e/Uzbc0SFpaPPcG3ecDMCa9XW4+sKdzkbWwX16K90JBbwKCAzljMVQkmZ1mh/OsQ7KwJ+O48EHfgk6dphZK22mJb81ZRJSygkbZBcPwwb6xEMGQC/4mz/gGEDUbGyBkdX1SEvxW2tgAoLRMiXE8MHsxZh8sxFaLEGSupLc64fiZDHxRmuU8ZyyRNi1L0iswDMWeGHkWTvgmXYar+zm8q/jfVXux7/y59teK+70xXoH9EFAwK6HBGebo1qam+44+ioBKcMyZN4O4sLJC3kEp1+JF8oU0/CDIvkZ+Id8yVPyiRPiOm6ZiSP2h+F5xyJk7WPy7iebsuNkmERHKjtkSyf1tqKtyZ/ipVi3ZLtSNpzEf60t8kY3JikTPIkdJntP5IWak8qrr+h8gPqKtpocvo0rcSg/a+yBZtz/dXtfX2jYJ99rDfm4pa+uXkYYltQ4oVQmla6VmMyIKG1MpnI5EmYIWavfjvmSTxTkIlLmKFMmYQd8yTenifLQcIgdfUJGPWjHTCBX4zOXlWH7vEE1gCK9MO1FNkxzJ++ENPmrkA8K4drrrQllGbBaiAz6UyY4ZEwQ5kyCTvkCcCOFPKbmng9eS4GyscPYftvSX+jBnivO+ZyWxIfheE6FSuXdVR2ut+ore+gUmMzwuH9ELnhJBzQsxRXV9fjoPpGxMIQ64Bq6Yazo4jz0uSjj75KVYoLxrf8iO7kbjxpUVRLI9n1/JZe/+3nwf8Y2NGn13bbtRxDTBP6B4A7j8qs+5bH/o2a54SzTbxwOGYfFI87CKdHIriiqh5b07U6r+t+OrZMUGVtjcUwm5Nh8oJKr8tbpo5VNldcdCjejjtoL6VjPblMDN3uosZSfMM/rttkYEdcYHN3usIOiMZyBhHQXBGEQlAVm2tom7cdATXqIbz4OIzcYyQub4vjtOoGlCdT7GcdRJnHl2NCNILWRCL85KO5mJn5ksOi7+ylDFYsWKUQ821uv50q44NpvQX/qQAbBXYEz6OyjhaYpFtHwcVlSwZUFNBG11uQDVx6HA7p0x3X1TXiwIZmxOhepXi95GmAbnhOc5v+4OX3UetlreOp11t3cxcIwKJna6MFXPMH73GJHTjm3GUc1ab1xKF0zVhBF7AP19G8kiHDdMorDxK+u9ftmnvLyZVrQR5houcfiUOiWbiE14Ij2pLc/GxERFlbY1loCS2mvjcd02Nq43XwHTya519OSMW76qKo12OoXPocvwnn3y6BFdP/Vy2GJOPob8NIRFt/i7moX58uxfVyAxIcuRe6n3oAfup7uJK3SmUpOX6sr1Im3wJcfxHx8NWqekyZOgMN36e1ZsTKhBnr5THShEGsx9IVGLodL4FA48vwpMM1v+sAu+clzT08g8GJJPJFWdLoGvYtMyYX+Nk+cNYR2G7nIahoSeBkut4CznRsijPlGJHloSkZYNqHn2NWItyUWvheHrHglEVWdiP6bVPV1g+wXe4Y1gE2yMmOyBZfGvheJP9POk0C8RSC4UOQc/GxOLYsHz+vacJOTc1QDtRNbIsTWSx2Vk09pr71KRqzIluGG16f+JyIVq44s2yS07lrWdcBdn2NbWn54k1CheDoPdDjqJ0wnmuQrKe9W1sAOZ8GISDrJuhmNyZ7NIKGVApTP5iOWV60a0VtrI3vozy+gU71Bsq22CLZ9RbnQZ12EHYa1hs300pPqm1Adpwj5TqEFEElUOAnMxfnhggO4M4gM821GJ7BDH4AeP+TuWjiBqpL17bFKmM9gv2wgG13vaOGIfsn++Lo/BzcwGvBMY20UgcmAQ0CgNacJqa5oYKQ5IklO4DblaE5+qiPep5tp703A3PpAZjTXvgDD344AyGo8rXogNHovt9onMPN3f+srEXvllYgJJjieiUUAAVcsVKxWgd4CpC8TFz4xE3TWuXPXL6urMMnU79AMy33/4W1ypzU8vNtEhVNh7emB9mYiQJjBipLQZsOJPno4glbEURjCH+yD8YM7cMNUj3G8WowVy7wBVDuEuFAJMAOPFoqrdC5Yfa/JiTArlxC8tJia9va8O5b0/FlXgFMF12vkyXyi9yyweIVoDHcaEno8hS0hLEQyo1FtjZIP0rDyoVDOvXt/34rwMoAZCACGu9dfaECH9H8XGTlR0kxRJkX9fMQjeYgkpUFPzcbOvMhu+Ow6UaDwYORe8I+OJqf0q5dXoUdG7nrFcDECh2w7UA50AiY5ItVSih8ki9xx8vyZAhoBW6dMWNxFabOWohNvhOWcdF5yAZNmRCKrlxz0mnDMUQ4luwCRGJFHJ+Mk1SQj2hhFJFckp8DTwB3+gmw1oTHZn42C7BUnhOSRwzVzYMpyUN291Lkl5chr3sRcksKkJNThKyCKPy8bJikhuLZMxVvQSLRijgtL9HSjBQv5107MsYUZ3gijtSPxqDfHsNxeX0zrlxWiQEt3CA56xQwQ7pYCQkWZYCQACjhWmAKD3ldPnnb3fAK7qTf/fBLzDcKGpvyCE+SffI2iJc3KV5+JJ3cjUg2tyLe3IxEvAlJlgWeB3DCevk+InndEBMdlOchr7SE+uiJ/MICxAoi8OCD3zphKdvqsWMzPJs+oC464w40FJdamo9oj3LkDeiNopJeKM4vRn52NrIjBh7BCVtakGxsQEtlDZqXVaGpqRYt9Qn3J52BDEiI+lrdQxsVF2mDPWZf7MKz6fVLK3FUdR2yuK6m10qCwzpubRWQBUyxRrcLZpmkpVzAlXLZNEla8sWSlaK1hPhi0TJMm70IrWJFqzvfxIi4ZKGO7KKP5hSCxlYk6zjGVRxrZSOaa+rQWt+GlAphjUI0JwuxvFIUlJahqF8xSkpKkS86tIYT3m6ef02oOwq2KXEqyK0VdKV+/x4o6tUT3Xt1R3lRPgqzKbACdFsTWleuQu2KOtRyg9NAampqQkIAkz5kABJ2RZwIqX75MEf/CIfZBH62tAo70PXCAdcOmgAkaQGN8jhLpct2oeRLucunpUpa+FwerZbKh+9hVWsKH749HYu1B9OVHP9tXmaMcndd14L4qmo0LqxDA/VSx/0BoUYrlwOVk40sTt5CerjyIdTlgBLqMQce5f+vrHiTgZWOZG0oLUT2kP7oPqQ3+hYXoSQvB9lJC9vaiKaFVaicMw/LF9ajvq6BLrYNhAJyTlSZga5PYbJ2xVsR7DQSJXtug4tr63H98mqUy65XXKeAQxnSFisAsWUHFh2Y5DuSfILp4ix3Fsu8TCgbKioTWuNzKvojnl2T38Ra1zeG9eVLH0KiP4qXbK5GfNFS1M9fjJVLl6OytRVNnGxhLA85ReUoHdQXfbhJLCsuRBbHYhWXpfW1vb58vb6CTL4Iw1keFhLQkUPRl+62f343lHo+PArUPG8ZVixcgmVfL0JVSxPaBED5ExkZiKy5mXY2FIolax/h4btjmz6FuGXhcpy6shpRrmHOUgVUZ3kEyYXUDgec3u0y7vIESJIDm3lSLm7XuWepxzJFIXjLtJR3wu9NnYXF0di3Y63sZr2v6ER0JCTLTzV19vViVM1dgBWrlmB5qhktBDlSWozyQb0xcOsh6JUbRYR7kvA/AXiDwFI5Vga/1UD0GtEPQwryUB7xoZsaUTtrCRbMWIhl1bVokvta2faL0Osd0XoKQoWgL13PQVvjcN5/3jp3GXbhRkl2nQ44S0AoBwRcAUrinGhpy2WZrJ+SL+A6UJkn5ZInvI7agaZiQq6vny6qxkfzViGxHpG+02wxAK67mpvC1FLqcsZiLJ27EAta2lCXZeBzV91z+CAMYdJnugAAEABJREFUGzYY5cLL8dBHbVzE9QIrM4SzJkorHc5wAGdRtKEFlTMXYu6ns7G4njPNWWYWTw3hf/41hEq2sp5uPxClY4bj8hVVuGbBMvTizji9KaL4HASEBDAhAVfSAloGSAFW8qTcxUOAFpkGnnGXT7ClLOpjKTdgH0yZgeX8mvOtrK2yy9242tflsNSjACfG0VCLNup40czlmBNvQy2NJqe0HINHjsBQYhHleKmdddvomNMlsJzxIY8quSMHYFuuoWU8r8XnrcTsGbMwv7YWLfJXewJqx4a6jPudcjukTQ70vttjTF4UP5u7CCdwzYsJcBnQJC6gZNZHCSUtgEqZIwLnQgKXKeeg3cTgGOA2VOSRtdXTCLm+fraiEZ/SzQeiRCedyCTkEvzpGGeyy7czT+d0l5WY2Zmvc5osYJ64abHi6ko0fTofc6ibOUghVZRFzzkAo2SfI8dBYV8frQMs3arlLi02YihGRyIoSSZQ9ckCTF+8FLVhBJqzJ13HZ5NCDFa/ks6QZMoikklLyDwVhRXB9xyMUd1iuJxC78rjgXO9DlQBiSQgSlqAWh0nSLJmSlponfL2eqvBJ78AL/4kGsVCAjx56pdYlhfrsLaKjEIiH0l2sY0pBLLui5IpMlzIMheXnw78rkzypFxI4hmSdIYk7z+pR37RtY1DzZyLldMX4wt+5GjMykbZiMHYulsRospwW3k8Gbt49Tp5WQDX1JG85SmLB6j9dA5mVlejVTpZhzeT0VH4DeWxTFyN3Pl+vBCzl9Xj+j7dcVf/nphRkIc4N2RpF8o1UQAUUAUYFwpIBG51XNLkW52WOElA7VhX0twFB6RPlzfg01VNnPsZeTuGlI2TOthxKHJPPwg99xyJ7GXNiAvQLEq/nfjTmV38Zvg6FnWV17Fc4sIjoVAmzlD2ObWVaPl0Eb5ItaGex8oeI3tjWMTjjkF4u6B1gN25F8rpHgfQlaVmLcDnDa1Iyr1oF3W/cZa48fpGxKcswvxXPsYfqptxfu/euHxAL7zQqxxVsSgQchURqxSQnEsV0EgZK3WACtAEWHhcmnE3EcgnoYAKtpMTw0KOZ8rHX2JFVqyDtXYYQVMcqQPGoGz/0Ti7dzc8uOtwTLzrDBzB83Qx9xepWpbzSMfWOlT6DqNiWDVcBuesxAx2m8zPw4Bhfbzi9RgsNJnWenuVYJDxkdvYhIVLV6BRfP1aDJsxEQ1hvCxEvliGpmcm4605lbglKx/jh/TDg/164mse3t3VnFs/CdZqUBkXMAkWXCgAk2QiOB4CHJAEXK6lKa6tn65qxOdVAaxMqs5DqG1C6qDtUbTdQBzf3IojeDvWm7dduyxegRt5YXDfJUfi4quPweiDdkesoZmXDS28NhS32rmhbzkd9WBmLUINL1eqfcPbqpJI+ciRstCs2/E6wBqFUioi0tSCKt7p2nWrbP4cEZjfVqMLKhG+9jnmvPQR7q8BzunbBzf17YXXe5SgiccsOCAFQALrAGQo4AmgAr7EneUKD0mE54fzuWR798O5WJlHxXSWXtbTI3dHOV3waTxuHd+aQDdxcLKLbmhCdM5iDJk5H2fW1+G+IaX43S9Px/ibTsCw/r1hxcrlUgXf4SNLWVszqgiczo+a4qKTu/ZALF9bKmPhE1gaE7TS4sjWLv82U7QuJSBHovA+moP65z7CC5VtuL6gEJcO6Y+nuB4vzo4hMAbujCvW6s65tE6JCxgCsAM6AOhCE9rgk2UNmM5jlOC8lvjNSST3GoJuOw3Ccdw1H0mXX6DJQWuQ27I0eQA/UoBXm9lzVmD0R1/hArrE352wK35x/VgccPwBKKVMqaXVSHTVB5vbrG+ErVkFn9umKHWla97dRIsNDBpViFhRHnp6Kcg48X08Yl35EUS5I2x76WN8+O4c3K6zcSE3dvf06YFPigrQKv8bAfkWK6AKmI5onhLKGk1rXWg8fMi9QrWsUR3HIZa2xwgU7bMdjqc3OJp1nKVGCCQnWBpUAxdKHnkgk6ipFZizBKVvf4aD+bnvl8UR3HXOfhj/q3MweqdRiMjZnLt893GjY3+bK87xhgU56OUrLpdtaFqWSF/bdm5fd85Y2YCvlIHl14ad+vdFN1FAZ57vMi2A8ErNa43D/PszLHzhffyhNsT/lHfH5Vv1x3N9yrGKAFp6FzhX3A6ssggIxrTltfiiMYGw49rKDxKp3bdF8V6jcDJ3/z9hvRLyi4U7IAXYtayWANP6V5fTUkCXiEWr4PH4NGLyDJw3cw7u2W0w7r72JJzINbkv9whYWIm2moauFf9NdFhXh+T2w3jFGMNW9KVh7fLUitrCrr8GrQPs1OlYyNuO+UajbPRAHF5eiMj3DW5GCQKwbLamz0bTK9Mw+c0FuIUX5+NHDML9tOLptOKEuGnZONGd1/Br5+TPlqCSQBCadCsylh23Q+FOw3A83e+xHGsRrRWyrjINz8NqcKWtznmZcgE+6gPUE7gWY/4yFLz1EXZ87zNc1dKCh48Zgwn3XoC9T94H+fVtSMgGjev/OstBWqqN/8pRbGg/FA7uif21RRnTcz9b2brs6bGEuIvqunNeo0XI+8p/cxZXZ/vYdo/ROI4bmPxm7gQ7835fabFiAuclmqD+NhVz//oRHuCFwkX9+mACrfiffXugkrczc1bVYHoigMrIKaBuPwqFuw3CSbxNO76tFYW8tAAVDlGPA5dTQMAT4MRKJS7gCchCmbSEwiPWnQFY3D+/OWPKTJS9Nx0nTJuJ35Tl4oHbT8OFE07AcF6d+i0EmXKlUlp6zEi2/pCy2foGJIb2QMkOw3ACJ+nWNoXlnyzGm81t9BvHQ3VVex1gc/ktdOZSVM9bgf/lTK7hRfROuw7DWbtvg8ECrtwhd9XQ95WXmwsvO0Dk9a9Q+/jreO2Tlbg+mo3x0Tzc+/UqNFHxDljO8GD0UHQb0x9juT4dk0igiJPXnZcFECEZg4DoAGu3XIn7jGdCtgefliqhI5YJyAI6N53gRQh3nwCPRVi0AtEpX2H4K+/j3KpV9qE9BuG2G0/EkVedjF5RIFzr8kM670QyEXkSCA/cAaO3G4QzaWgj6Y0qv1qI55YtRp0NOBXXc5BdB1hwcyAub8p0LOKt0+/jIRZREcMGd8f44/bEiUN7oVgAlq1+Jzm+l6QoRwZ/yHYoOO8I9O9bjOhzU/DV46/hM5ntsraKgrahG9t2IH5C5R/f1oZiHm2Q2UV3DGUQmloRsARMAcwBaAAXaqRDpjNlHUOqWpoA+3FEm4L8ocCnc1XeG59gn8lf4OagFQ/ddgbO4+1WoepkuZKWPYBswkYOQo9jdsEZvctwDifXgHgSMz+Zhcc+X4rl4rVcR+v50evJh1gCD8Or3p+FBwjiq/TrWbnZOHT0Vrj6qN1x5I6D0EPcigixvja+7XwBbq9tkP/kdTiTu9L/veJYPH3neXji+Qqcusdw5NE9hwLq8CEoGNUPx3sKx6XiKF5tqSHchwIBNkO0CAeIWK4AKeC6kJpy6y0BlXQGeIk7nozlkm+N809rQMD2mc9JCE6aoCAXM75YhNdmrUADgXceRThFl7zGDXYYit6H74oT+OXrKh6l9kGAgGv0397+BI99vQSVchPYsZ7U7UzsrnPWmrTcUfJLSOvz7+CZWdW4mx8EplKK4qIcnDyyL679yV4470djMIrrnZUzoQgm1rOmhW8vJqAO64fY+YfhoMG9cC4VV0oFZnGXO2BoH5x+3Uk4pIa7SAdqL5xACxqbEEvlrllAFAAl7IqoNAeugNYlUWurQW6Ps39k8tjXWgOXPjy67zFboWqXrXHn1K/xs3tfxJzKWqQy3i/fQO0/BtsesxPGbz0QV+dn4xgL5PJs/MbXy/DrFz7Ei40hEoIJ5SMMa3WxTkKvk9Mpwyho+Uz33jTM/tvHeGD+CtzB9erDUCE/O4Ij+pfimsO2x8+P2gFH7rIdBhTlIsIjU7MILMrHt/DIwGSt37EfcvuWYjcqMtKxG1pbt54l2Pm43dF7aAmO4aXL8Umx1IAWKlZKjYmyOQkha6vEHbERSUs+LwDcjpcuEM46aZFimUIObKYlfzUZwOUzlDqUia0BMoGK8oFdRuDTklJc99DLePL5aahrSaKtIBuxPUZhyJG74Kj9d8YtHMuE3BgOIWrZbXG88/VS3Pb3qfjj5NlYLMsjL1C0a3QTfjaJURQprlnWpfe/xsxJb2Hi/OW4ub4VT3KD1cCd2qjifJw/sgy37zMKPzvzRxh/yBjsUFSEWMIiJeuFAC1uMeCuexPkWi+LyFDHHXp1FVLZORBlxjozU6nRnAh233tr+xtP4xT2X+LcL0ENSAIi5YaQxDNlmTDDQw/gwHWACZAEreN6mom7cpY5kBlKPm+8nNXztqx5zAg8VtWIK+54Du9pD3nHbo+9ztkfFx66PW4a0gu3FefgPF6CDKMsNfVNeIJL4M1PvYV7ps7D1zQgLaAKBp3HuaG03lBhV2URBU/cwZszMfuFyXjqzem4ekUNbm9J4E0aQmM0gtH83nl6z2L87OCt8QCv3q4/bCccsc/WGLX1IJTn58NfUYuWxQ1obqarpPXTjiAHfk7UrnpM54n1y7UdN3Opi49Cn7/9GmNP2g+38KixfZpjrd9UYxvC6lo1LC67XwGTwmUAcyHZxTrlCpLFoFLXIsfDAgFXgBOwDMHNWGwmzJRlQJU011HEsmCHDcBynrEfnbscb3EZ2/3U3XHrgaNxX+9y3JCThXFsY1veeddx7X1tcSV+wY3VtS+8jaff+grzxJBE1xTzG73/MbDSi8yegixEuLZ6qxrQ+OrHmPzEv3DblC8xYVUVbmhqwaOJFOax8dIsDwcW52HC4B743eh+uOvgUbj1nANw3bl7YdzBe2Dn4T3Q3XpI0RJb3DodR6qpnWhpKflcJhNgm/7wH5+APd+8Azefdyge3HoAbuDnvW15Dl3ELzKfWCAhshGQeso06dm38fP5y22NAGaJoIQsc+C5kNOJSpUJtSaPQAqfkOORNBumB4C41wwJiBEDEBhIXMCUkDdd4BcplBYAA7ojzg8bjZXV2L8wG3cW5OLKbA/7cGkrYdszeTZ9aFkNbnzvK1xJWe/450xMlckeyYXXLZt3wWHnLZiMbtNJbzpr15wUVAvABfmIzKlG9TNT8d5Tk/HoazNwzYwFOHNlPX7J48U/OJhFViMnorFzXjZOloH27IbbdxiCR07cCX89cW/c85Nd8T9H7oSjDxqJnWjhA7cbgJ7j9sbgx2/EuDvH4/fMu6MkH4caHerWhH1x2hxcPOEx/OTyR3AuN3infTgLlzz1ZnDGRffivg9nhwVtcZUdcLOUCmWt4xrAUEBzRMCIt1sDJU35HMD0DC6UizqyIwwAS165ThCAhcSKRe1cyyGbJk4w0EuByxFKC4HSIoAgq7Y45KoyRt45LQm8yOvNis8X4cy3Z+DGpyfj8eenYPKCOtTJbVqu4qqioLGZns3WkJ7zsw8AABAASURBVMgjroPWGZM1oboObdMWYNkz0/CPSe+h4ul3cOanizB+SQ2uqG3EzS1x/JnK+4xKTdJ19acF7JMdwbiSXFzXtxwPcNPzv9sOxl97dcMfedC//J3PMOqVD5D9t8lo/tO/9KyJf1bznnkN3SMpHFDoYc8PZqBg0r/Q8PlcNXSrnqlbehSpyw1ApVrqFY7o8NmlhTwONEbYvwNX1lv5Izh6APBeGs1tANc7UFZU1QGVpJp6gMcOyIcAninTE0ABArZYM111Fdt7lx7rscoG3Mbvuld9PA/jn3gNZ3Nfcis/ZrzO9PLlNYjTsv3iAmTxMxrFpCCb+V0HWN5PrO5CviULSUYm7BzPpDuWS578XRM3VUZA9n1kyz+qnzoHSzhT337sLfx50lTc9fqXuOGDr3HWu9Nx7OJaXFTaDU8P7IkaXuyrshLobrnI4eFe85to85cLkJw+D+FXi5HPryd7lxXjEk6Am7j7vbl7IW7tUYSJPMjf1bObvqkk19unMEvFSotpPYUKxd0UCvIV8vMU8nKUrH+I+qCJALJ2CtTc1CFJtLnmQ0ATcHnUAK3OkQBO0NIgasC5YUISiQBcL5O5OfhHbTMue+crXP3sZPz2/nfwFD9YTP50BZZFovCyYsgSXWgPhq5bib6E0P5IPEOSJXEJM5RJZ0L47SVj28NOge6UXp3MNJCpnwklX+ISZkjSQpm0NCLpTKg0rNwAFUbhFRciO5aD7NZmhJNnoiaMoGH8kejFu9RdTtwf+x+5B8qO2RsBw1nbD8UDocalS+sxoaYJP+Na+usgiYdamvHnxgb8LxX/N67l05MI/UAhl7jkk2JJCiIuleYpIqx2peJOxf2Ka80Q+V25IqeQKETAFgvMjgLZWUB+LlBIKukGdC8GyuhqiwrAyQIpqzRRPEJL/PWkD/H53GVoCTyYwfnIyS9GLKrgsenVr88YxXO4ZOId05k8sq31ZvIzoYzRMUxyv+v8yDjWyZSOMpkSF2tzYXumxNujEAklLTyZPJdmQvIycdlw1bQimD4fbb1LoScchwEf/g4X/ukyPM5vog+UdcMp/ICsaxrxyr8/wsVX/QHn7Hop7v3l83jvxU/x9p/fxnP3TsYfJr6IX135BK57/iPcvqQhNaUxmYhVNQELVwZYsDLE8toUKhsDLFwWYuHyEEslr9JiVXWIyhqL2jqLOn7paGy2kH8+IhYp1ihEGSk1wH1D2iIJCXf5buMkFwzicoVBgBeLp7V+UtWMij+9id+/8RmqBUSTAy08MnYJhTI6yISSJyRpCYWEX9JCkhaSeFf5UiYAS7g+ckKsr3Cd/ExrmbAjg0jRMd0ebw1g6TqDOY1oPXRn5L81EQf9+TLcdPpBeGJgGcZn+RjclsLnc5bh/odfxZk7TcCVJ9+Hya99gkZ+por1KkO0IIJoSTFi5TnIGjEMhecfGj9i39HJu2hFFa1t3pCqSm0aGw0amzSqaj3U1Wm6T4sEZeJlvwtlhif5lVoAlPNqkibuNlUB3AZJLHk10YwzZWL5snuWNVjctYScgA1tISZ9PBcVj7+HydVtsHS1pn3I6YB9pyMdfv01cQFMjGJNTnusA097DjryuXoskDDOcH2v7rJAGhfKFIqQmXTHMBNv55OjyfxaxCWsrUHq4wVp6/z5qcHgaXeEV94+Do/uMhS/LsnDYVzXWpfX4ZlXP8EFFz+Ai4ZciN/d8VcsKshBtHcuvKx8GBmQuHE5BqWisLsNTG6z55Dg591LvF/4vrd7PGFNY4OCACI7VfJCPpgnuVhKXkh/G9L/WoYB0Qh52g8JmpTJEUgsVNKdd8QC6up8Ah9QWEkL5ecBPIdO527s2X/NwMKFK5BqTdDpiy6E2nXhAklnSDIyepQ8SQtJXEjiGcqkJZQ6QhIXEp5MGJVE19Q1sBleaSBDmbwuQkWlL6lD8ujdUPTrUzDyxP1QdvqRKHn3Vhz4l8vsxBP2ME8OKNOnRXz0bmzBB1/x7vNnT+Gkna9Bxbg7MXXyV2jkhXd2UTHBlPalT4ZcX4PWIGnHDMLgQ0ckL+lVqu6K+PpgApUbcLENUgSVQJF1zSsgEAmxMgFCKCCSoSNwB8xjj4DFemsAZB7TwrsOsT2xUuHNzbHYfitg562C3XhPft8rN6Limauw186DkL2qGomGBAEWSUR+IYlnSNJCmXRXYcfyTFxCoa74N5CnN1C2SUW0Eiu7vFcrcOStJ+LBU/bD/TcdhQevPhIP7z4UvynOU3vyY3fV0jo89uL7OIdAXjz8XPzh2XdQXZpD6yyndcbaAW3vUb7KcFOUHFCC0kNHhGcO7h7cnZ3lnUod8xtqEpbaF2UHBLC9SjogQ4plKbpca0MwSiCxOkwJuLRcFzogbXu5cjzCvw5xEpAVjRzE1ytTeGVqCtNmAbTSorICHLXvSEx8YDzu//fNGDf+QPTghAqWrkBCxpAW6vv51f9NtwJqqhH2jnHYhTdD10Z9DOExoJCWKf+IawBdXOVn83HTub/DcXteizvPuAefzl7i/m4nO6t9kwGskUDa4xVgqlsE3r7D4gds0zP129wsc6HWqlfAhTGk1mWtbGsFWpoVkkkLXla4Bix/6XER0A2TNX0PzAxWSYPGOL2yi1uCuzrfgZ0Gn1FXLmVioZJOKotabgLqWgLIhmsuN2QvTQnw+1eS+NfHKSyt5s43gm226o0rLjoEj/3tOlzxyOXYsTwCPbsKbdy5i2iULv3W8ovOx1+j6eMZaKqtR3JT/5IiXXvTf/8rYOXfleREkNymLw7hGpfVuVvmmd4l2On0/bDLzgMRy8kBquoRdB6sDK4pgZQKuI4OSW73o5HJiaUF/q3a6OHWWiQTKbS2WgemAJpIKDAb0ShQVBigsFuASCSE1qEDVCxZQAn509ENSzokaiHzO5MDMgTEmjkhQRbE+SG0ngfbVk4WGZvsig01prhNqm4A3vwixBP/TuKv74TJrxbbWhvanJ4lOOng0fjdCzfi7rduoEVvg2wBkF/FEryUSdxxNrZd8hguW/w4JtxzAXbwk+yTx0Fpf3MSxfzmzal2gfgFpStQQUUUFefh8L1H4Y4/XIQn37oVZ/7sNAwp4ZoxnRurVAArLitsQmrnIRh00OjUNX3L1L1Zvr9XEIaROC2lucWiuVEh3qYQ8HqQbh8R9paba8GdKHyCm5cXoKw0hdzcFJIEQUAXV023CAegBcN2YjwggKFspLgzlnhAFENWkrjLp2knOctaKKBMEiUqYj0JaeySgtEWvC1DW9LiqyWB99d3Av/hV8Pp0+fb11htQV4MO20/CLf85gz8+bVbcM4DZ2HoC1fj9KN3xm96FeLc3qU48+Btcfdjl+K4HjnwZHK7hjfTz38FrMjAk4VHd/SRxDuR5bJUQ33FCbAXi2LQwFJcfPb+ePilW3DH5Ntw+Hb9UrGhBamiQ3cKL9yqPPhdbpZ3PN1odlNTkmDSQlsUvw4ocAIhErXI5uYlm4DGGNe0GpXpkBEuqaAbR4LfCUMCF7BjCR3JOknwnFW2x10++UIHMAi8BVlg+fE2MAFS0iDB5O7X7bTZBQRUCRV/+ALUnib5xioCnVvTFOz09JRUn/v/HrzzybzwZt6avR3xUD6gHBceuzceG9wTP6XF84ojLTjjOcN64Yxx+6FflpLWsNkeivXN25JrwywDc8uLeKG6Ec9zxifaWwv42eztJ97C6S9NxQWrGvAiZ/FSlilaXCGPNPuNGYyb77vAm3T9ifoPQ3vbcxDoHquqEmhssLROQCxOLgViMUCsM5YN+LR0LZq2bElIMeQrgVhzUyMgeDiAHIBASPCcRTKUuJRJmOJPyoFvuYFS7iybZOU4O05yBliWOQDZjwAqxK7cq5gnYkhCeLT8wMKjIJycW/H8fNrLH4Z73vpM8MfnpuAM6uZ/2XQ92TgCqbWGPGMLdxiAwZz4anNarV7TxTePffwVWk+8Hb/gt9kLZi/HNW/OxIXnPYBrbnkKiy95FB/tcBmu+/VLOGfWUtzY0Ir32RPVDC87gp5jhui+4/YxOGY3YNfhGvzyAz8CiGXK8SIrRoXxKkhTaXwh5kMF0RUCzHahpINQuUlBvJDiblksVkJxxwF7cy6ZqEr5agpAXjZJt6roBeR/h5OIW7TSU7SQknG4R6xS+nfEH0Vv4fKoPaUUJG6YxygsZ5jWNpqX4+1f1g2/mb4oefDZ9+CBRTV4nuBy24e1HmtVkl/Aat1cCjPTZS2Wb5SgaN+o3lqV5I+raJXBobfg/a1OxbP7Xo+3PpuHtqJ8GPmKQQD1nS9j8d0vB7P/8O9k+OQbgZr2dYAaXu1Zzn7fA4b3Uzhubw8XHePhqD0NBvTQ8GkCtHTaAqCpNVGgc8EKYLIdWAUNhVaqLN4GWqiCtCmAEkc4CuE8gABKBUJCV878KNfr/EKLbgUh5PKB8rrrREvQ21oVmgkwvwu7Nuk6HYgagPRP8eBxUmhloSmTgCvyUQoEqQTys1XBbiP8U39/oZ3Uv8SeoVUqG52e+mZMmTQZX/Fje+h3KvtvkiLjJtffUMcmAj2qL2Lbj0aeXDYI2FRegBCJA7YJhlx2aOIXA0rUQ81NZvcvF1r17NsB/sAjw8sfpDB3RYgUERBlFecp7DpM47T9PRy3h4edh2rkxhTEAkVQGgY8mqooWSxHQloC6utDnh1Ai7EIAiCk71xjpRZpMCUMaaUWiiMvLLIoK7fIzbYEU4HrIWTnns/L/rx8uF035efSQICbFMSKU0lAJpj0qzTYjoIAagRZKIDTsLybwo+2MThuN4X9RoHfaVVRdZPKnjJbtcxYFM4kmF81tOErftZ78u4XMfHt2VjrrxXZyEZfwSK6AS6KtoFSFkkDQoyufjunpcCz3Od4SNBaUrwQirfWId63FIXH7hic16c4eb8NI0e0xW2+nEdzsixKixU8SjaHl/SvfBRg0jsBPpkboJ6X8649Sja0l8LBO3g49UcGh4zx0KdM04rhQFLUoUdlCsgBd7eNtH5RegBAgHZuOISbMAKquOOAhfSUECvt1QvoWQ5kUwaPfQlYnrTHuO9BPsWhIA8oKABitGrDfDlDt7aAGztw982OCCSrIOQkkknRr0zhkB0MjtnVx3YDDbIjCstqQvz7sxRe+SSJ6YvD7Clfp3q/+HHwxUOvJG7a/wbc9tgbWC4tdUU+MzPE6FpvEuBxbK2stRIUd620S3RsjBMUQq6gw4/wSFJCnUBIYMvL4ti1OIndegKjD94xdfyug8J7cqL6AoJaijCB3JwAZSUKZcW0Eq6dtGpkRQkEZ/mqeovXeS7ksQFvfhFgUaVYFiAKLaMF7EwrPpGu+shdPWwzUKEwV1GtrMuZ1MYb+ZZmUMGWBAiIbNLFBdTQMo+gUv/oVqgxuL9COeXwPEAmiKEHEFAN0xIKaSIm5dzUoButt1s3ID8H4OUL21XuTF1HmQ3bHtFb4bCdDY7excPIPgbimmcvDfEvAvpg5R4CAAAQAElEQVQPXmIs5FiSXPc9z6qIp/ONxvHlxd5NZx8aHjmodzI7aOOBGWse0amkRO8ZknSGMuWZdFeh7ipT8qTBTAOZUPKkTEjiEQ33v4XL8TE4P4Vj+Nlqv5JCnDikN37D3eGNWVl6ZDSScpcI3cuAIs5+2QxpKtIY0KUCWoOhQtSz4JceuarDR3NCvPB+gOcmB/h0foBGXk4QP/BmC1v11vjxTh7GEuSDtjfoWaTQ1AR+kgsJqHW7W+EV63Sg0mqTvGL0IhZ9+yiMGKLQrUBBcRCa5PHHycDQxSmbhJ7Ix0VU5BSSSZhDCxYXLUD3KVc4YHuNk/b1cOiOHgbSm4i3mTIrwMvTUnh7RoCltFaZHB7b8TlRDPtQOmTfAd28HtG7LPz5uH3VHWP3TO5gWhHIJY3oNEm5ROcdiVnulbxMedTldP3DrrouyDQgpZmGJE8okxbX5AWIELsdOOD+/fpgu949sDsvDkplM5PizqeEG5M8nj3FVRkqjfqiFVoHqAzU44A9SiHKNZz+EX6Rd+dU5okbe5tW/My7KbxLRS2p4jpKyxPeIlrsNoM0jt7Nw9HcbO0yyvBuj5bUSh5eGtBA3Forrjc/T2Mk1+qh3KBJ24rmzJ0rFPuQtiiWk8lrl8VjhiOWexTYMJ9oIIv5g3oqHErrPOsQD/tt76GU3mQxLfJlTsRH/5nC6x+FWLqKZsw+ZCJKm4btaLbjk7RSSKQUgnhSNvg6J8fbc0Q/fecFxyUv5L1zD05St4okRfEkCYV8xoUycSY3+LLLtctjHZLSUIY6ZMvXNCQSSHETEOehu9+QfjiAoO5dkIchVICWDYdYTQM/qVXWKNTUcjBJ5VzUmtmrIEB7lEAA9T3FDQzgeYCb3QRZPnKL62uOA5/Ms/jbhyFe/oBWPC+kFYMWCvcXDvvtZPCbK6O460ofpx/ho2cpYIks5xV69zbYcRsFTjgImKLyjLUaoH1nzVAraPbpkQwLhBTzDIHIpwvenu7/yN00jtzZw9b9OUQOcOaiAH//KIV/f5rCnFUhoVQgu9tJy5jr6jluegs248ZV32Awe56HWV97mElatkIhyUOvAvKKCv2zDhgd3Hf+kYljhxQhVluJpNKwPqgPUuaVdCa+oVB3LmztnNEpLZ1VViOx1QDkX3tCfNxhe4a/6l6K7Shclrg/hgB/ZDDyZyUcLVpagKoqhSqC3MLLe47VbYJ89i7Aeka5gYsy/fZ4hEALyJ6Bc8HZUVo5jxWyFk+dFTpXPXlmgPkrLORyXibBqMEG54/1cP+1WbjmTO6qD9TYfTtAjjHilmWNJeQUz4pYTk7JU2yX43IgiwUrFcKQo0eRxS5c24/e1WDPUR56FWvUt4T4mJu8v3+YwpSvAog8HmUu4hrcvdRy/wCIq5b1mnfiqOaYq+vS41+01KCJ40/SYuMJhSUrDGpqqATu9uTvbz1fD+hTYm48fr/g1lMOCUbV1UOW5hDf4GGra9eKrZ1cnaIBhAJoUQT60hNSh43dM/lgWUlkQm626tMtX2YrVWbJTqKcyMuxGNA3QI8yoLgIiESBJK22pp6DrAFqOFhOViiurb5YqQE8rSBKcuTyMmmWUXkCtLi3CMtk3fyCVnznkwlceEsbHnshicU8NiXpq0SxB3CTdd7RPo7a3cOOW2mUUfGyqQFhjfjKbYSyY3BehFnMFrDT/fUs4oQYqfFjrp3bDdbIihCEqhBvTg/wr09DfEqP0cw7Np/tREkiF8VzkzMnG9zxW/QssSjluOVDRTKuUFlteMwCnFtW7E6DfXNvUKtB44fUR5hiPERuttl7x2H43XWnBJeOHoBCfnBoi3MNxn/wsPm1uTtbLGeybWpCyjNQZx8R7EKaOKC7ujUr4g8PaaKWh9W+vQMMIogFeZbnQAuZuUMGhBDFiSUVFtAVdmd+CUB3zUEoyN8bVdUS5GpufnjEkct2nyBz50hrVgQYdMlgaNNpgulx9KadfOeTLOYvCDDl8xC/fjSOM29owx9fTmJxpeUmzDrFdcuFc52H8Ni0/3YGu43QOGRHjWP2MDhyVw257eomf7kYBQb1UNh3W9kUGQzvqyEX/LK7fe3TAO/MCLGIa6e4dwFaJofII65bgJUPAp4BZFkRq49yJykTrBfPyd3LLCe2hYAqrprzFxKK5qlCCL9SyuUppXhuTEJBF5Z0M2ccsXv4wBXHhj/u0RNZq2qRUpwH2IRHb4hHAOVtTnDU7sHQK49P/WL0IP3bHM4m3qOqgLsSygARSpTdr4fF1sMCbDssxLBBAeQ6EBRPcRRiKYZhDpVcRnfVg4MtK4Y7H4aBQl2DpsvSqJU1ieuppiv0udY5S/YUFaIIMOCzQ49uUxTI5kD5UFcXAnSbOQRnCK0rRcDluPTaJyFmLbFo4ucjsQhpq0+pxvA+Si4MOLnYPy1xcE9NMDUOHmPobjX6lBBQfkiYviDEG5wwU2db1HLiaU4omaTiLXxDWTQ44UInlwDriDIbDcoLaPJIHPT1KY5R6okcFBZUi7yQpxuNQfQnetQclGZ9zZCbBKRSKXhaD+nXA7889+DgV+cfHmzDO/iA406pjQDMZqT5NUTvRJcJzFmG5j22RtmEnyQv3mMbPJyX7R1MncaS7Iz6hZBUVqwqYciICB/xrStjtrMY6gMiqNIWwifprAhQWAD0LAO6lwMys2Wmt/DTXHWdwsoaoJFrkazFziLYpmGHsm5pD5BNjiipku6xrg7oVa5x2AEe9uA5Mj9XyW4T1Y3AB7NDfgwP8SGvL1fUWu5GRaq1SSaJnIlzs4BqfoCYNifAG58F+GJhiJY2uHNrxCgInwAlcmru3B1wzBeZ+GWHMinIOH1ORAmTKXCiAitWKRdG/JBrvYU8qRBux57P00Lv7iFkoigWCJ6dyVq659CqnCyzx+hBuO/6k4JL9tkOZcvqEFfyFYP1unpF12vlN/kIBvaE+e0F4RlH7WkfLi/0z1RKFQSpgHyhm+nSuVGKAwFnJ0MFGKQfKdMs80haAdqFiryKvEC6nnL5nqd4XUhwCXCvcoUetOIczqwgUGjgN1iu6aiqVWil1cmGRiaH9KMV2J6sZQp7cA097kgfWw32CKiCPIpMngf2ATTxUv/LxRZvTw8xj2uwbKKEpyPVNlmenS3e4sXI10stXTBgpA1aoOZsVu2hR20ZBRgKkAZaQfL89rRmeQvvlqsp80oC2tAEKMAtP727g0euANvQqw3nMrX1VgG2Hhogn54m0yabcTJTZRyfYjxNkhb9W6tyywrM6T/eNXzgZ+NSJ4wemWUwExZdPBRl7dwRSHY/fpfUA33L9YRoRPVLcOopnl+kU8VBavaiKW2aFDsHmMVQOdCUUowDDgS2nq5jqQy4/HQ9xsWCFTgAC0XZotz1yvWdrM+9acUF+ZZlIKigm1ZYzrW4kYpKhuRXcF+ABvLYsd+ePkrpYpnNPsF+lJNDABFLEhDEihLc/VXSIhs5SdDhsRaoqrdYRosO6HY8TjZl4GSVMcgRSdoS0ECZJU+AkDxnvRxQyHoim4BZSW/T0gxn6cWyt+jBiSsTNhu8gFEoKwT69rSQTWUWvYRSgFKKZEkSR1p+wMkg/bALFxc9JZMBsqJ64KAe5pp9BkUmntW7gdtCMnd6dac05s7WWz3+FLZ+d0oqHqaCwPcVFSwEiJIUa2j2lA4B3SltmFYkTR4hw1CIWZC0Mu11OBhD0tBuIEopKACi2Ji7S4Zz1aWFFjFePwZ0GPLvaFZVAaK8Zq577sMA12O0TzytwT4AxVCxX6UUtCNAZFhJtz1vuUUzrRh85Dvt0mqLBdxsiUOSjZtme5oT2Fkp25E2lQtloinXjlizMgrxuEI121xOmWq4EZRdfg5lLS8F+hDQMgKaxQmryauUAl/IY/kjE0op5rm2AZFPa9UeApr5iqSZp13IPANEuYw1NadSf/9XKvXn54P9vnw/kgdwIcfaD6usneH5JqyuhX7hn9b/w1M2uWKlTUYisOJ62AcVBQIBF3ZMU/bVeS7OZik3BSUve9Fk5pvmYUS7PJsuV+CgFQnpcgUah3KDKMhX6F6iOMMtuuUxnxblzoc8Nq2qBmobADn6KAGELlMRFGjyMXTWxis8WZPFugTIOXTHb9Etv82brDd5fJE1VVyxJh99OcQixTIUwDggbSkFUGSIDkIoyKe8lZVcPwloQyPVGgL5uYB4mh5cUgoLwI2VglTSHKirz6aMZpaQgtOh05OCsEF4OqalP0lLvsQj3BQaIPxyto0/8ri1r7+rIo3NRNTQCth255fddM4CZEZSCD13oc165EmrX/6nTTa3IIjKJkZbCmIpmIVuj4sypfPVxHznBkW5Co7Xpal4j0wiMNtP12cexw4plxAKUEpBcxRkZRzQPAbF6LZKeGHQk0cH2Vnn0jLEihv5OW1FlcaqGqCRrjqkKbi22K4DiY0opP/TbBd8ZKe8nLvpavkiRB8uwGsFjgsQFsXJI2ODAmUnUUsJeoxqWueKVcDKariNle8BpXStYp1yF57LGyqfvHwh9WWc0q6EsgmUuJBxeqH+GLq46IvxtB4lH6wvZCFYRCPKLlluU088HYZ/nBT6K6rgs28lbYF6QRePyNBFNiADZGVwE2ymfGz9xyZZ+8kMlbShDiN0z0opKABKKSpEMQTJkhgCLtQs48u4aucRPss4oACGKh1SCr4uLYBLHWc9MlgWaHJp8gu3z77zqcBSfvbrLudirsU+QRS3WMO1ciWtqLbOglexkHY0LVEJSVtCVKImicI0GxUeIShAMV8xZDa0VsxSaEsoVNUot7uto5cQl51NZco/zpINUQkvIWJZyvFr1tBEUSmpC45HyMJNNAUIcCxiqNYmwKU1C/kyLnXgPFZLiw3/8VqYevRJq76YDc9opbXGRp+uWRTYOAmANoDnK1VdB+/5V6337D9Cu2QlCC7zjYJ0ohWQJqYVGFesLwTG0yQCp2dnOi31JE/WM1eX/Uiei2vyOGJ7SMcVC5ziaZHMgiI/PzagmG6vnGfj4kKuxVR4SMuS3aisxTW0sBZeZ9qQbRBU1xcrG7btkQRc1yYs0hNJQbMfptymTf4R1yq63AZuhhSAPC4FbnPH9VO+EEXoHtkMxHVL264t1w+gWCATSNpTUplcmhHNOIPVepG0ZoZmvpBh3KfHUJwFn89UwSNPwr76tvWa22DkOIlNfNj92pzUF0UAlHTEUhGQfXCqAFSGmjUP5s/PWfXKWwia6eOjHJxhJa2BjiTK65gWoTV/NBvW5PW0gvAYrd0gBXSZ2dKWrGWe5JNP0o5Pgf0rKA5aa9YF4wqAAWTABfmAWHB5Odfibhbi+rgGoZKbmpXcUdfRZSdSdNetwIKlmpfxBstWaiR4zZk+iyoEnABNPD+vIn8l77blT2N8jq+MVinuthc3Rfm5mm27bp38MvGVZloBRgEexyfyekxoxjXzDH9kHFoDQqY9lHhHkr489reiEuEjT4bhuhJgxAAAEABJREFUY38N9dIV1vgelFL4jx52sS6/NKJY4ogJTZJ2GYCdgO5ITfvCmr+8DPvZTBWGXKckX5NJeByxWTZBieBIBsBiB6LwCY9mRAYppNmZZqYhaTLKbDeM8GUdBWMUhN8DqEALsQ7NDvjCdQCw3CIrolDUTbmLjyIeBORDvmyuannUWbBE4ev5HgE1qKrTWMhL+QWLDe+tNeq5CVpFMKs4EfjlCtwwopSuXtxtMddROZqIDBSD/Sikd82KsgCGQogsisJm5FIA5SaxTCmAL1zISOdQ6or107vY199B+MDjgZo5xxryKWPwjR52u3Y9C2hNAflCsVQpQDMUUgwVO/JIYiV19Vb/461QP/sq7JKl4M5Z0XoUB0TSrGcYKsCwESFpQ7PhDBnhUYAxKm0FBhBA3axXgFiwRyTF+jxtXdo4HgVn8WxXsw0jIYmVIW5RPKuUy1m4rCREGS0tJwtcdzVv1RTbAWUEpEp9k8bSFZrHFu0sVj5eiOXLZ75iTgxROEVmf1LHQjZa4l2k/bT7Bdtrl4eyaAqkGBqSZkXNToRcmnGjwL5Vu07gzrb03vhkurUP/yWE6LO1TSkZN9nxTR92v3ZVZRItxjNK08copdzgochD0uRm4JLyI0r2DLB4KdRzrwNvT0XI9c1GPUBrJSzQ7W0wcHGtwDBDqp1PQcqNApWkYVjfY0KUZwDyANKXkORLaFhuKI/waDLJcuFAZUN8AQX3KHYoZ8vsbOvakExOXsEewheGgLQjHydkxy0XB3KsEkANFDwDeJ5yPJ4W3nTcTTong3Zl0pbmjwF5GEpcK6weq1LKxZVKh4aMPttdstLaSX+39n//YRVdsJKxizyafWGDj5LSiA0opMQ60TrVk/Gm15ROjtceFnmeB2OME0hTEMrEmcYWNNJ5EpJ8AmEDq6bNsPqZf1p8PgtWFBZhvma5UEbY9cUNlaSpiY7K06zrcfA+yww7T5dZSJ5YttRxihc+o+DKFZxsZOeIFQngSsEyllMel6EAKQcfwx21gFpebPmpkTxsR1MOkdfwmOXaZPvSlzFgO6BONNdSDUM+KddszLCe0YDoSTN08fZQ4kKSL/KKXlpbLP71HuwfnwGmf0VxeMdgOFZpSxk4PUuIdR4FrX1AQ/5w8C9BnVyNiM1jrYddr5XGB08WN7z+YOSBVLRhbyB5D0sbtPGgGKH8WIva88BCxZZklje1QL01NVQvv2ntwuWwPoWUwUs9TT6OHxKXUNJCbtDtZZIWMvzxSMInypDJ4zHhk+QLT0TaJSiiLMN4mhQoKlweAEWZ2Cw3vAqygy4qCLl28rsrrdRZLX/ysgHZUUcjALuDx7bkBspjXc0MI/0xLmnPxRUYQJTOYkgfkpa4Jt/quIJrTymsDkVmmfCffklAX4B9d1qo2uJWyaZJ6kob0i4UIPUYMII1DwstDO/ZUlMSNjg5Mt+cIXitYVgToyhrEh1jb9zZbdG5p/t3DR2YuolXfG8YTm3jEWDWEAFEEBmUkKYylFJuAIZxw5nHg7z65ztWvT1N/sIB8JlnOGqlhE9RcIZsSJG0kAKUTpNWCmSFYdrTEleQ0CmWBQKutCdp34AWDPjk8xiXtoRXe2B91vU0pF3DslJapXw3LiuxKMgNee0XYujAkEcmy/4UPGlbw7XlS9wArA7JN0wbpaB1e7uMp9OSR2Jak5RiXCsokhZSgOjDZ1uLlwP/+09rX34zVNU1VsnewTBfsU0hsoNRSD2JGAW2Q1IeQ586w6Ly0tQ9Bx+AKyZM+PrFN99U3Oejy0faWatg0iRr/vRMS+8//Rt7tTSi9KeH1T/SGK463PMSF2okvvJ8jx1rsE8o/mRIhHJxtiahR4FlIftyLvD3ty2mf235AdlycwUIryPy6gyxkiFpkgDKAEorEqDJpBl3Smbc4yTxmBYL8BnnRhhySSEuLsp8zwM8o+BpkCyJcQXXdzk3UyMHpzBmVMDvxgRVLjh8cOKlyWN7ngGEItKGkAYnCZwcIpvumBb5FdaMSQEsTpMCor6C/M3za+9bTPonvzAtskrKDWVUSoHipvXITCY5wZBOs64wesaH8mydMuEjvkrs/avxC68c3NdrjC8fudvjL7YOeOMNy5awzsPm1uQ9+rdV3ePF2Lkt1x+YaGmZPe/tn304bFhp46sTuzc/e0f0fpMdHKRUosJ4qsajFjVHqA0ojFotDLOcsC5k66Ko1jbggy8sXptisWgFrYMuVBQn62RnMtrC5bFd2QlLO4Yj1grMV46MglO8YcQj+SRP+Ek+hylxX8OB5bEiRSW/gsQ9oxFhYYQA+gYQ3gh5JO6Icc+1p6E0oBnXzCMrJEwT8zNyrg4zeenQ5/psubh/PDPEpFcsPpwB9w3Wo3wUIa0jNirHI5dmX4oEklYKhgdaxW03r1NfiPiJI99t1Oe9+VhswZAhQ+In7aU+zwkx0+Zl9VoUYEcaDvf9XKSx5mEztKivbf6T/7RjTKx0K+j4qiWRdyefdWTOsoqKinANq7JP/yx70YhI5Gadow70/XASAY4b460GlfKsibOiUgpaAYq9eKSV1cA7H1m8/yndcwuc4t2gyCN8a0il6wFw5bo95B6BeoZHhRgyEx8QH3j88dmBrxTjQJRMEQ+IMD/CUNZMn/fcEUkbsF9LC1dIA6pcHY91PGlT+DX7Y19kh6HbYTYEUMM86jotm4IbqytjPBN6Bk4+3s7hhTcs3vzQ8tsy2B/5NYm8YMjX1VdKuRB8FDOVNvA4w5QOv+Dm7awGu+Kk1x+MvY2nVUAWZOiYg9SqvsCU0EdVdTw18pFXkts8OM1yx5Dm0JPebdtq2WzslgihA4UPTt03a07Fvvum0sXr/lZUqPDP16iPFgb6ZCBxvNH2PUNBtDHQGpABUlYX57JMoa2LS16ESpPNwzxeFLz2gcUXXwPJlKIiFHnSpJSEIKAqTe1paduwfSHt8tLtemxTiCLA9xUVSGIYIVARAwdulAhFWVH6F4sWQNNxBZ9lPnl9A8hEkX48zf6ZNpoysMwwLfla0uxb0kbiJM20I/JLmw38aP/OR8BLb1ksXQlQAeDc5/jYpvCSjwGUtAlAM1QKMEbD40AIJi8xE7/ws/WB/77ff+yjh3rSBNDls+++KnXG3uprlWz4WEPl51Zh50kf29KKCqt1LKtmsQkTCziw/FgcW02abGNdttIp880KlXripqyXUqrpSD8aXmO8cIkfMRRUy1jQ/uMCBTjAoRlqxUEAbXE4YN+eFmLpKjg+USiLoYA0MSIDl7w0KbYPR4YZHol6h8d2DUmsJSJAU3kOMIIm6Ugm9LEaaJ8VxV1KHSGpLwAwe3X7im2yC6wmpgUEBaTlAyDy+ewzoCnMnAe88q7F57OBkGlpk11DZeopQLOmNoBSgLQroexb2HcbDeFZheDHrUWRir//Sq0gl8VGnufesN2SftEIoz3dGrTNw5wZ9TfdBKsP36FnyxmHR79qSOBjXpvmNNfhoD/9246w1mpswvP4tfnVDzToO7L91IFQyfuMZ1s9asqjhtxayVZk8DIYGYjEWeTA9TjAuka6ic8tpk0P+W3V0oIAUYjwCcnAJS0kaSGJryY2psnkMUwT6GLh2vGp8Igj7TYxEWpZiIaBCF2zgOsZcGIoGJYZtmOMgtZCWEsOrZlWYBlW5xvWFTnE7b42JcS7n1jU8WrS4x5C2mMzQKYeedm8qy/5imltPHgk4wXveSp1Sm22OvnlOyNTxWiwkefBl2z2H1+xOzXEsbfXhlaUr5x29mGxhWPHjkoo3taw23QLF/xY1c59H1Naw/jniUQw4pGXgyMeedX2TJdu5LdChXddGv1yZsN7/6OC5BGeb9/VHqyh1pSCG4xiE6uJEclnAFEMGFlCq536BfDlfO6eUyAwCtQxNBn5QkiTL00KCoDSgGaGtCG8Qh7THiNpgmtHLFNAjDDfl3KC6GlNpSoIv0xA4s+2pD04mZSC61szohUYB5RSLpT+pL3mVuADTsi33D/rAMsBAZts5LMuLXFHAPP4oyyM9uBHPGjn5RLXwsTHTrot8iwBbSPHBl85tTz8cuNwpYMf80BbnPAw5dTD8fm4bbs3d6yoOyZk/bzgx1nzcpvMi4E1ixKtOOy3k5IH0z0XdeRbX/zNin1T91yZ9W+drw7WXnIcrfdjP2o4IM1BKihqSGvWJjEKiQuJMgSIeAB8vRCYPJ275+VpxYgSNZlXk1KunmGeYVw2NC5uFIwjMASkvYjWXDdJzBcr9Yzkg3lgOfm0kGJcsU0FaUezTa0ZdyGYL6QYKpYDMhH4jRoz5oVul//VfOX2CeIdtCavAoyBewz7NWyHb3qSGgVPBNFBrTap3xqdOrhteOSOpypyloHXKNjIc/9zrf1rYjguFXjb+2Hqk9ijT796zv6KKzlnS6e6FKVTDpNjx6rEeUeoj3m9+LwXUQWrVoQn3vtiYkfOlgiLN/pOHKeaJ54fedLLV0dF/fBe7dl6P6LT4CoQ6HQT1B8jaQCVQvvggWZuF2bScmfMs+B3SCoTro7wC59iLQlFkUoptgtHUq6Z1gowGtAmTR7j1CkM04YRV0Y+CYU048LLYN1+ACgAwiflK6ot3vssvY7K/7dY8tkkFPtQ5JOQAdKydRibb8C+U1qlXsvJtSc0xb0Jf7wxOuPpsWvvdqVuZ3pwki144AV7cAKRw2M+qpN+y0tnHJ719dinx9IUOnOn0zoddP178di8ysojzdM2HnwQhmaPVTo4/d4X7OCuuTvnKvuLE9Xi6oZ5l0ciyROUCv7lJis1oZRyCuRSAEWtiEK0/JAUJSKLU+Yy7g8/nR1i8UqLkENwALFclCZEdteO1O1Ihgk26yaEhEYpGNYzrOBClkt9zfx0CLAYWsGRAlwoZcIv1tjSavHFnJDn8RArCa5VcG2KvGwGIrDUVwAkLQQ+hg04r+XjKy9qr0ipuUffe4n/r6crVILFG3wrKqz3u+ftzm0qPCcVBD0TSf3yuIPw2sWHFjdssCILZTwM1v9WKBVedGJkWvPK+j9YYxYnk+Gpd05KnH7/s7Zs/bXWlNxz8ZD4TeOy/llUZo5Tfstp3LR8GeFVkUeUZPBOGZTCxRlKWkjShhH5k5fZiy0+o1JX1YYQxZkMn4QbIcONjM5YKpF1dVknE7ILCIBaW4ZCSIesQyNzlwqzF4Z4jxs8WSaSoYLhGs2mHLBkg+KPoWSKmdKuI/5EuQwZP6yOmPA2fhf+cUmtvucPVw3j9gobfW5/Nj6820j8T5jEPkGq7c2qz83jV45V85VSdqOVycAh8ncT3qvPK6q/6Gi8Eo3qh2BNTkuAK297vOmgB19atvpQvKFmLj5UNdxwUs4TfrY6KJIV3qFNWOlHDC1DkQDqBUq7AEqp9gggCpdkIzcqsxYBAnJLmwXPz851U5euvgNIweVJfE2+cuVr0qyr4PKEL0OGnWgFl2+YaQCsrOFu/asQ0m8LtzWGOyyzWoCrsIcAAA27SURBVEZQTgAKYBYUf/hCKUXgDTihUqEKXsrODo+u9/SNvzpPza2oUCE28tz/bGPZxKdSJ3tJ78xUKljY2jDrvstOzJnGutxSbqRyh2LdIb4JUWXHH66W1n+p70/Ylqc8L7ZPXVOPGyf+KbEjj0dqYw0ozrbLj1KL67vp60wk+LE2yb/4UdUW4fqrjXIKYkDlAIbKzYBqKCWTkD93WlXHnTM3WLKLlv8hiWyIDFHI8CgF1gXECiXPkUKHNPuR9tpJ+hNSTBt2Iu0lkxZzl9JL8Dxa3aCgaCPGlcPJpl1/FopWLn0rBUh/4oX8iOJpIPzci7WetiK76sSbz/Dfeeg8lcRGnrv/bqO//qs9tKEl9xq23NO0xe+54ifmmavO2jQL79w8xe2ctfE0Z094zdicj2Y3fnKzCoJPAqt/+svHU1fd9kfLW65NqL+vSl12dGRqXb1/ZlY0cZLy7JSIuDfRHpVL/KkpDo9NKUqoJCRplnnUcpJqWlIJZ0ny72247V8NJlng+PnDd02cCb6r02zWTSQBRfoQcEObttLP5hDYZRYB0xQLIJDSrlQWfhcXeZhQDA0r+76G52OJ79tf6ix95M3jcv/yxLi1jyBYz3PHJDu6uRo3p1LhQSmkXm7W+reXnJa9CE4R66m0kWwZ30ZY1l/80Hk7tEw42UxKxpM3Kd7Yp1Qw8ebHE+dMeMTmrb/WmpKKM1TbuQdHni/Jaz7CRML/MT4WufWXSqIuIQoXJSpqT5THAIpK5Aux5pa4xXwCMJ+bK9k9G45GZ4jMq+O0LGknnbZYEwdcHQU0tlhOFIuZC4B6ngiF13ASKQpioFy/Uk/4mYSThxl+VEMb2xqJ4HE/hrG5hfrnFScqtgJOizVj7SpW8XBL71/+Kbgu2YaryD0ziDX//LpTvNcreCrpiv8/yaMa/hP2Lng5q64/O7bwY19P1Cp5jw3MLnkGD17/YNuBFRVvcFXqok7HLNYfu1deZUG9vjcnHwfRPf/emLD9eATRIbSTkoAQIAU+/FEkAVjux+qaCTC/Gi3nmpgKAXGnUka9p0Ekc+e4lHP/hkTKYhEnhgC6qi6NhTFw9aAZUuOKoWK30oYIJHUNK/se2H3qfaVbz/LjNRddeYx6n3uJOFk3+P7yvrrCXzyaOl37sbvjiVSe0ombB2XhiWuPyednEpUWYoMtbLyQIm+caVM4nh6rgmtPjb3TYCovTtrgH1pHJwS99rq/4gE7YlPq8+wcnLSb+iq7xv+piSSOhQr+ybXX+lx/lVIwJEXN8oXiTtdQ04rSG2raMFMAlfV30aoQ7v/4BoDZUAprk9QhiZtdSSBnLQaWVlnIP/byWEEmEQNX15BP6ktepj+PmSJTNBrOyYraK6ETx044Ifepi0/Z+BGEmwR140PJg9r8/N8nrTpEBakHqpsiN117SnSmjB+b8aHom7E1NjWR68rPzzB/amurGmeDsDI09pEbfx9cdesky2+GZNjIywEmTtkr9loSi3+SlYWrjYc58tVGU7PECAKmE5o/AgAMIPlO+cxr5elwea3FkuoQcdlHspAv5FESoUXX8wJk/ooQC2mpzdxhSz6bJ5gWEldKQfpRrJQOmc/OONHg+6jUJnxQZemjlk/Tv7302JzlZLOkDb4T7o0Pv/6R8MHAquuNp/7VFtXn33CW/+o9F6uNWvgGG15PIVWxnpL/KlvZOy4qXTbrNe8GqveaFNRODdV45uo/pE588MFp/qY0fca+A+q67YTfxCLNx0T88F7Pt7URnn81FawptQCh+MPXgcBsgEiIG1YMWxLK/dNI+X8viTUzC20EfRlBF0DrmxWUUjBsQLOyA7C9Xc1Qs0xz0hiGHtf8iG8Di9Q/oOOn2JS+7NwfqRncRKawkeeaPzYUX/ugvcH3In8xSjdneamzv8jBw7edrGo3UvW/KuYQ/qv6G6z8ND8O33JO7M1IozorDOOTVNxcMR/bP3npPc07bLBie+G+SqUO2yH3C6xcOcHTiRO0Cf7GT4RxcYVQAHUOBsiEhmsw+MigJE++/dZyI1TdaLGqwWIprbiG1wNECAIkWFmTJM5Aksy3UEwIGXG7UUUrtR97Xnw8UlWnnXVg1qvnHa5o8+xoA++DD1r/mgdSx4XN2c8HqdSeqSC4pqYZV99wVtYsWbY2UHWzFIkONktDG2qk4lJVl10Zvc9m4dhkMrnAU9lPXH5328SKh23vDdXLlB1+eM+Ww3bM+ld2kTlFR4PzPGOnilv0DBHgCCSQM6Vi0vBHGQW+EMDE+uJJaxvabJAIdKgJvkwAYgYhKRdwXci2MnHxDpEIFmqTujErSx01683bHznz0B6V2ITn8t/WjZmbsk8Fob42FagnbVPdsbdf4P3j23K7XYnEoXSVvfnz6LbC285QCxr9yHU6hXOgIqOa2uyLl/82de6vHrc5m9LjvgNU3YHD/Ceo6JO8SOo27kqXRcU9GwUBBlBQHJECoPjDKNdNxo0KjVIBwbeaBXxdecdQa8U8Bc9XiEZVq9HB614Wxtp87/ajdlKLKyoquDpjg88Vv2osu/J3rTdqk/ugVWGVzlNj86r1Q3dcVUo/scGqm71Qb/YWN9Kg3MLcfol6N0yqo61N/kp7+qSVdXj26gftgRup6oqVUuHuQ9Tc4qHeTXk5OMqY4HF+b232PA1ZL6HgwNQcmdYWArTRyhI3gguGCuky8pFHkTQLyYOIuF0PXxg/OaEg15xy+Gg1deyoTbisnzQ9cvn99mQbzXoeKrqdHzE31Btz4W2nqjkyofE9PBzW99Aru7zzMtX665pf/jUSU6fCS31mk+GdV95r77r8d639WLzRd5RSie36qg/DwFyovOTZET/4kK4ziNKCBSwlLfAnPUACrKyAasEMZoNYQjHiAI0A0Sys9GSTFkudetDW/v17jVCy25VWNkg3/D6xXdOq4b/Xgb1Uae+5ZrSMv/Vc9Q+ZwBus+C0Xcpjfcg8bar6iIvzFmWpxg/Gui5jwXAs72KjIc5f+tvW0C+6dnruhqpmyPYapxl0GRP7q5SaO8f3UrcbYRVFfQRsSgQNJKQsQRcXRapJSSpLcFCm6Xdvi6+CVrFhwVn43PeFHW0U+U3Tb2Mhz7YPNPSbcHVzZlvAfDsOUtSl15rSqN++876e5KzZS9Tsp1t9JLxvpRGb3zeP993L7fjw2lbS3G+X/NA8jnrvizpZdubZtgozKblucvUTXeLd4kdTRnhc+5EXkeKShaZoCIxvRSoMvwIt6ZEVUMiuCD3Oi6pKsfDNu5/7e33boufHd7qWTbOzye+MnJxKxP0PZfa0JbsqPRsZPvER9/mbFvhs9/mxEFZutWG+2ljZDQxWH79Dym0vMJNVWcwS0nQrj399YdN1NE+62m7R7HjVKJUaURj5OQF8W8xOncfc73fNsqDUUDLQhwlG63YhvFymdmGh1/KRt+qiHt++hNmm3e8N9dkykCg958HmvbV9qtea0ied5f6s4b+MTAt/xo7/j/jahO2V/NaFsRWylvgk+LtPajAyN/cvV99mzL7q7On8TGsC23VXzwKKsl7Js4litg4naU8sinvKjUdvED9+P+7btJ3l9Iz8b0ydrzqa0d/Wjrf2vfsDe1hbY31sdVqVM8vTYCn03jy+bNCE2pY/NzbMFApseYkWFSk0c77+eSqhzlbV/DmHPipmCP176m9Y9j59kTZprw7+9S7Nm18777PqYTo2L+rglFgnPKS/TFw3vnf3+ELXxq7yrHqwpuOoBOy7V7D/JJWKU76mrs5W+7tfnR2eKfBvufXOW/udtbbHAZobC3XNNzk/1g5EgfhI/rH9qotHf9V0e/Panv24YmuHZULjDDjskexf6b/QvVDf06+Y9XazURv9eSP5o4IrfNo4Kkt0etclgfBiGj6RS6pRbx6t/bolut6vxb/HAitAVSoW3XBSbn1/t/RI2OF/5pjgWyX7y0rvbLqz4vd2kP42VdjaFrr3Lll95b3iR9nPu41e52dozJ/7mIv/Ruy5VdZtSf0vh+UEAm1EW3V9i4oX++zqKcxWCiZ6JHNOStH+68lF76KRNdM+ZtjqH51Ysy55wjz0iYewjvOg4NBpR9zWH+qbbxqsFUHJe6lxjy07/oIDNqPKOs1Tjry6KTMopUOOo8w91C34+rTq8+/IH48MyPJsaitu99uH4NoXl5RMBe02ogw8V1Pk3n62e4uYovqntbGl8P0hg00pUtuIUtSS2Qv/CmuT5YYioTkX+cvX9weUX3d1YmubZ8O9l97b0mXBf6spEwjwQBkFUh+rCxW8+d4uz0g1X3eJLf8DApnUr7vmO8yPTWlB9ibXBz8NQHR7VOZMuu6vl2Are4aa51v6VY9NV98d/4qus3wNqf6Vwp22tufi2/1EfPb2Bv67HD+j5wQOb0fV9Py1rmnih91zY0jxWK/WM0ZErmlcO/9n1D7QNyfDIOnzl/cnds3TefaHV5yljX/K9+Gm/usB7euKV3fnlNsP5ww//3wCbgWLilXmr5pfifp0y52qthscD776r7rXjrnrAbvtxLa7V1vwayjT61rs0a7m+79bzcjbpsj/T/g8l/H8HrChe/kLh9svUFzFPna0MngqsPStMhS+kUnbrsC24MRVfdtmtP1WfVlSoUPjx//Dn/yWwGZx4mVB1+3nmD8m2+VekbM21Oqvphl9d5r9652V9WjM8/1/D/wMAAP//OwbllQAAAAZJREFUAwApAAHE7kq8MgAAAABJRU5ErkJggg=="},89006:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},57581:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},12175:function(Dt,Wn,Be){"use strict";Dt.exports=Be.p+"static/bg.d81594a7.png"},47444:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},425:function(Dt,Wn,Be){"use 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strict";Dt.exports="data:image/png;base64,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"},11862:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},93148:function(Dt,Wn,Be){"use strict";Dt.exports=Be.p+"static/title.c574dc28.png"},4212:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},50356:function(Dt){"use strict";Dt.exports="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAP4AAADuCAYAAAAZQLrKAAAAAXNSR0IArs4c6QAAIABJREFUeF7sXQec3NTRn3mSdq/aPhdMJwQ4m04wpEFCDx2DiSEYg7sNpBFCCUm+DyeE0GsSwBhcMDbBBtN7c/gghIBpofjOdAjgXq5tkd58PElPemq7qz03wPsjufOtVtJK+s/8Z+Y/8xA2vr7UV2D/oX9r6NBqm7iFvTiwBiCqQ6I6i6gOGKtDgjoCnkEEjUDTELiGhDoH0MQXZwAWIZkEzEKwLCKwEFiBEDqB804NsZMQOwGxkwFvZxqtrLe6Vsyb89P2L/WF+5qfPH7Nv/+X4usPGj/JMFfUbKJbVn/OtP7AeV9g0AsAenEOxvr4EoxBEQBWAoeVwNhSxq1FpqYt0ptyi+ffNEG8t/G1AV+BjcDfwG7O/hOf1le9/u4WyLStCWALIuhPgL2BKPZeIcMuJFoBCCuJtNVE1EVodRoMO0H8r6h1ZrRsvgBgNcISKw/9rELTCvPozT+zxFe//9PNtMyKJj0LS7Q26KdlALSClc+CYdUBp7oiFwxCq0PEWkSrBxD0IsQm4lQbe+kQCYGWI8IiBPgvceujnrtt9995Ew8wN7BL/bU+nY3AX8+3f/+RU2va2uAbJtA2CLg1EGxOLg2Xp4YMOBFbisgXIcdFaLAlGrdW9N20/4qH/3JEfn18hcN//lB26eeLmiymNVGR9yNG/YlYf0Tel7iIIPwXAliA8CkBfaQDftjYCB/MmzYqtz7Oe+MxnSuwEfjr4UnYe+jUTU0LmwFpe0LYOgAURALgSzTADzmDjw2Az+uXfLh03ryJXwqPuf/+E/WOftv0LQJsyjhsZQFtA8D6qYxFGDIk+AgI39E1an1xzqjP18Nt+FofciPw18HtHzp0tvYurN6Wc20XIGwmoAbVmyPHj4HBB0T0Ua9G+Pir5g0Fq1nZBlsh4tbA4RvEaCvV2CFCGwAsZMx6Yzvo8f6cOSfYYcjG19q7AhuBv5au7cSJE9mDr2/9DVNjuwCnnThBnQd290EnwIVNjfTuVw3o5S6pMAQr2nA7BNoBAHYggkb5GSaqCQzf0i3+xpG7ffTBxIkTebn9bXw//RXYCPz016zkJ741dEo/BBxkEewOHOr9B5qWctL+U5M13nrh9mGL1vBhv9S7+85Js/rn8sWdGFq7csK+3pdh0KEhvEZA81+ZM3rJl/pLbmAnvxH4a+CGiHKbtSKzM1o4iNsxrZdAWY4M/5MxMm9sBHtlF1oYgUKxsAtx2pUAenuGE/BD0mi+1lR4c2O5sLJrWWqrjcDvxjXcd9jMpvZ84XuAsAdxqHF2RQVk8B/Orfmvzx33STd2/7X/6G5DJm/JmDaIOOwKgBlxQZBBDghebchmnn921skrvvYXqcoLsBH4VVw48UAiaPsAsp38bDV+omkwv3/76jcefvgX66XEVsVX+VJ85PDDr8suauixi2XBIADa0j5pUf0g/haB9dxGA5v+Nm4EfoprNuj4qQM54T6SziNjFgP+Hw3hnxtLUikuZDc2FaVQi+D7HNiuxLkrO8YPGdJz8+8ataAbu/5afXQj8Cu43bufOL2ZmfxATrC5pJsE+FJNVv/XCzOHr65gFxs3WcNX4Dsn39Yjlze/i0B7yTCLIXzKdfbUa3eMaF3Dh/vK7W4j8Evc0kEnTtvOMulAItjKBjxgOzD+7GYd7fM30vkNAwsiDPisvmEQcLav1Ecgwseajk/Nv2PkuxvGWW54Z7ER+DH3RNDJAocjgOAb9tuMdSCnZ7W++X9vzChveA+xOCO7srI0+21iuC9w7pRRET7IMHhoYxgWvWcbga9cE6E///yzJQcS8O8IZZndAMPhue21un/NmXNCYcN85DeelXoFhg6dnXnH6vwuMdhHNBLZ8mBgL2y6Wb+n1ldfw4Z4hzYC370rg4ZO3dXicJitInM6zF7o1QhPfd1UdRviQ1rNObky4QMJ8Dui8iJkwRqDR+bPGfWfavb3VfvM1x74g06a1dfK548igG/a7BDhY4PB/Rvp4VfjURdhW5HD0X6eBt7TstkH5t8+bOlX4xtW9y2+tsAXMSFfWrOfQwm5JjTiyPDx+bNHvIx2h9zG11flChARDjph+p7E6RDRMyHKsCKEY31z//i65my+lsAX9XgT7OSdmGIDyGi+li8+Pv/+CZ1flYd94/eIXoFBR0+qs7LGIcRxkJv8W6kDPPR1rP9/rYAvbjzPZAdzoh2dpC98bmTo/hf/PvrjLzNQhl2/sqk2Z+5gabQ9mbQtAGwGyPsAxz72tBwgoXmvRaIMIBrg/iRAQuImIstzoCKCGKeFHWKklj3Vh9EyILYMAD5DHd/XLHynq0ZfOOuMXl9qqezeP5myVbGARxPApnbRBvFtVsjf+3Uy/F8b4A8aOn1rTjSUc+qJiHlG9OQxu3347y9T2+eoP7f1K9Z0DULO90DUdkYQ7b420O22VpHBIiL7p3jJ38VPx8Oh+KPz0zZ8hDb4wRnrJX8XP50PiB/iLeefCPYb4kPtgPg+AL5JRG8Sg1eNXO38qb9t/NJ00Im26fte3+bbHPEgIsoyhqsY4pz5c0Z89GV2ApWe+1ce+CK+2+uEW/exiB9sl+gQPgYL5rx6z6iVlV6k9bXd2IsW9TfrtB9xggOA+D4AsC2JL+Qi2wc5dRGHz1DTxIy7zxjoizWDrSATVqHGVjKOq7jOOsikImhaMcP0ApA9LFOg2ShwMwOWZaCOBjN5PWfUkyzeixiIn00czE2Asc2Q0xaAtBkAxs/bA3gfgf0TGTyld1qP3fy7/ht8+/Eex07tBRoMFck/UfrTkD3x0uxTn/uq53m+0sAfNP7+OnPZ8iFAvNl5yOm5ZtbwxIY64WXYxSubsjXWQdwyDwKEfYjIOW/5QtaFQO+JAR7I9HcY6QsZM97XNGZTb1VooPFMTIKynBTBboALvCxW8J4R+a4ljAEvbsvR3IG4ub09UINgOwLRoShZgk0sWoHgOabhk/lc5slZ52+YIYKYkNTK2w8GQmFcRdKnVe/Te+78m47+yuZ8vrLA/9aQm7chpg8lTj0QqEvXaO5Lc8a0rC/vnXTcU69ZtBta7BQA2o8D3zkwB5FYDhFeB8D5Bta8qOvZt0VQLuHrgzsKaKbFAT/9t+eWD3z/044JkEZB/AsJmWnmdyxSbm8k2JOAdgdGWeKEzmRH5AD4FgP8B2l8xq1n9n89/dms3U/sNfSWAaaFQwiwFhmuRm7OeWXu2A/X7lHXz96/csC3SzdDp+3LAQ5y1HfsIw1zc+bPmbBq/Vzi6FHHTm7vX2zvOIU4G0rAdxZxswsNCzV8A4nNR2a8VFNT+wY3yRSwjgN5BNwF3wAwPQr89P4egJsK8DNBRhA0Cr4xEL8xHfVcrmsX4sW9LLD2Ak47I0NdCU/eIsDZNT3qZ9w8rmGDCQkGDZ3U06KaocT51oL6M4An588Z+exXjfp/pYC/2ym31msd1hAOIGa5iXTts81Y9+SGQO1HTqQa3mPpECDrJCDcV2DZoZXYToBP6cyYp2Pda6hRzge6AmTVg7sAl+D2twpCW+um17ci3t4Bt4S/ZxQUgxA2BoIViO3JwhqTOnc3eXF/BDoQyBs4agHSs4Da7Wx1+9xpE7dd72O3bepPnQcBJ3GfxKzwhVa9Nvf1GaeKisdX4vWVAf5ux926CdPMU4ljDyHG4TqbuyG0Z468bPEPLA1PAaLDgagRmF1CE7T3BcTMI9ls/bNAVAyDPeDNCwUIgtwBeCywFa8f94TGMQGxXcCzx30w5O1tqu8ZhkzQGMQagowdGjhjdNDI5zv2JSocBkDfIUJpBNsQ4BECffqMs3s/u74R5rZjD3FEP7SaW/qtr9996uL1fV5r4vhfCeCLUp1FdLLTlME+yma12eu7T/7UKxYfjki/5gR7iiqbuFlEsFDDzCM61jzJDLYyEewxQI+APJHWJ/l/53FJiv3jYvkgsff/VYr+O8Yg3hD4x/CNAC/yXkXeeTAH81AAaJblQ4bwMhFeeevZmzy8Jh70avch+v7zeesEh/pjl4Y486tQ8vvSA18kZCxiJ4g15BBggda3MGd9yTBFfmHUNcuOI87P5EQ7CbgjgzYE4wGmZR81NP3DcmB3YBvy6LEgV7dUAF0oP/VL07OBjL9l5ss/B5msfWYSvL4ZcH6LMwZhRmBv47KBOCNQtMxtuJU/lKh4lNMsxZGR9iYwunbaWZvMXV9xttPymxlKAAPFmoEa8tkbYqI4jXErf8PT7G0db7v78dO/hcgHO0k8mn/sLh/dvz4EORMnEnunYfFJAPAzFGUtWxGDK5GxO+v0HvdypC4V8J7XdT27hHDAqwfieB/k/meDAA+D2bkV8UaAWUHgcy0J+A7Y1VfESCgGQTUGcfG/ygaiRsBnAYywttNsHwxWYSgB9rKlRYjvcoC/bt++ye0TJ4oKwbp9CcHPPW9sfbSQ+7pLmt372l0jXlm3Z7HmjvalBf6godP3NS3+I5u+MvzHK3eOfHLNXZbK9jR+EhmdnYtGgAWnAaA9BBIBljDG5mhGz4d0oLxl19Md4KqAN+2se8GP0yNevWB/yv6M4sWjAHfALcEchHqy95f7Ke3tfeDL33wjETQKgf1ksjYzkKnAZDaQAT2BBWisgCZg1iquOoJzfgIB9AUBd4afAPAb6xr7T79pAq7zVXm/9eNpB3FO+4lrrmvssflzRqz3XERlT2twqy8d8J1Oq2mHWhZ8X/TNa0QPvzx31L+q+fLd+czJVy49SCP+J5Jz9Ak+A127I6P1edzCgumU3xTAJ3n3kGcPgz0I9HwMwB1wx3v8ZK9f/rtHvb34jA9w5/2gQfA/422XZARcyh/HAsJhgEYZvWAtOwRM60RguJlIliDghxay38/8dd91bvD3HDL1uxaiSNaipsE/588e+ej6CkPK38f4Lb5UwBdllnd457GcaHfRWqlreNdLd5z6RrVfvprPDb+6YzNmdf2JyDrUlbF/wlhmlmb0+gfHApeAj9L5qHd3MuxRz+6DOAz0OJC7fwvRd/+7lY/5469DAvC9sCAG5JCNNQRpjIBICyaFAYwyzCqu3I/zwjAA2NJuHgDtUa7V/v62X9V/Vs39rPYz9uAWYkOclm58bXtWd8+GUDau9Pt8aYC/09DZmazVcaJTo6eCbrDb1+UwxaGzSav9cMnphPAzEOvgIeQB2R0Zo8ddGpIpKX05Ol8p2B24hoEeB/KoMQhAPV8l8LNRmh/n8e2/hYyBygrEXpzwwNlfSSMQYgHRMCADIgSwCPVCfvXxwPiJwCEL9iwF+GvXlv1umHMCrrMFN8UwVrPITxKLfYhaf16rv+OtL8mIti8F8G1Pb3UMs0HPWAfTMzNe+ftJn1Zq3bq73ejLl33PRPNCIthetLQxYP/WjYabNMYWR2L4QgHi4vcA4C2nXS7s2SXYw/ReC3jzvPc5D9IhcLNQ1h4grSbGXRTIvXA8nPV3jYI0DQ6YFQagAN0Hu8MG4owA1zCYD0gwAGoIYBsAzjcpmu3jOLe+K47DEN/RSf+fKef0eb6797zSz3/rJ7dvzs3CKWLApwD/9lr9rHKef+DQ23ZdMGf4eh0BtsEDX8T0e/54+hBB7wXodcO4ZV2NTTpp4qd99Ub9f4HoaPEgEKdFmm5MzhoN/3ay9E593knAhQAfit1NJUkngc0soCjY8xAH9DiQ+wAPAlvXa4INOt3DPZhmLvScOIYhYBAUY1DKEMj3HCPgqPhVFqC7OgC1KiDzAJIBSANgMWddrXyx/duWZY5DhP4i/6ch3l9sM/94+8TN18l4LTG+zSwWx9jgR3zt5TtHxJYe95/4tP7ZGx9MIsBhSOwHLXed+lKlBmZNb7fBA3/PoVMPsxN5QAWWqZ2yrjz9iCsW/5ATXGEPsSAwGeI9mfpec0yLCoE43kvauTG8AngRvatZeQfwTtxeGvCOV7e3Uby5A3QfxR7A3T/llPc0IwT+Kp8cq+iDvkYuD+gSgqBBqIkYAgHuqBFQwR5kAdEwwI33xblnROewqBT4OQDHADhlQF3DTKFjpai1DyYgAwGXM4Szp5+9yTNVfvVUH7M9f6FrtKD9IuH38pxRj6g72Gno7AaLOucQ0WHO3/GTTCaz1xvraeXkDRr4smQnEnmaRreti5he1OTfr1t6FiEfxwGRIb2tQc31Rrbm03AczziQ7fk1d1KFYgQk4KN03qfqwgj43j0K9ligh0AeBbizgWauIeDrEvhB+i8NgmoMEg1B1gG4agScvIAf94stImGAVxEIJvwsy/H0nDlGRBoAQf+L+dzmFuTOIKKdUCiAiE3etrPvVeui9m8vwGLhcJHwU0t9u5w0q3+xWHiQiJyRX+4LAZ9r6LPLAfNv2mudlyU3WOALcQ4QP06U7AydzVkX2ftR17X1M4ud15AFgxBFrSYzV9ebZkey9TG0XsbwktKrgC/aMboPeM1yDYX7N9Wzq2C3PboC9CDIkwCuMIIEr98V8mVJUzVMxdvbrfbKy4oxCMIYxBsChQ3EGoEgCzDCycBMFgIhgOv9hbcP0n/H+4vsPzdXnGBZhSEi8gdG83Wj7sypv1j7E4L2OvHWXYomH2ovpors7hxjnUDWw+RMSoq8EGFSy52jTktFL9bAxhsk8O2+aGInCUWeBvDQuqjTC2pvAVyMwHsT4aqMXvMXXa95PeDlY2h9GPC2t3UpfRDwMd7dpfFxYJe03Qd7LuTFHYDrLriDYPb/pVm1VU0MtrQu5dnwTYP8zTcKvkFwjIHz7wAjqAElT+AbgWw2G8sCJDOQBiAxB1CC/tsCIDO3W8HM/ZyA90Rky4EZv7ntrN7/twZwU3IXdp0f4AgLcfMC0fGA0Euaem+SmXJ1GbLTFtw5YtLaPq8g21iHRxOLHJRboMKZjcdHCO39ulDkCWr/bsPiXxHBSKELYYBvZfWmv5gGXxmO5UW2PkjrHarPAln6PJQCvCmMQhzgXWouAB8Pdh/oPqyd36LgDpoB3UgHfrOogl4cIcgJfKPg/F38f9gQhI2AZAKmwhS85GA2C7pSGZBhQJIBkFUAboKn/Rf0P87760XWq8hX/dwia2dAsaoOTNuufZOr1zb132nI9AtMpN8DkB6AWHCMoTPIUAw51fCAltkjn1tXcFxnHn+XE6dtV7ToGUD2y5Y5I+6M+4JOay0f43TZ0fxX7xx979q8EGOuWtU7b+WuBYTdxRhKAP2erN5wl6kBiYy9zNYLry4SdbaW3uucK0CQ1suknaT0vofXhHZXfBEP8E45T1L5UmAXHl0FehDkzjuxwA7zeQDohJg/Khe4LgRwD9Whm+AbBt8gOMYgbAhc7x9iArYRUFiAmPNrH8ILA1zq71J+YQDUHIBtEBLofzj5JzL/ugWYN9uPBzKP5c4s0teyWs0vbzmr5/K18XwN/PHUn3OCa4DAyUL408jC80v9WaYMFtVkjb1enzn8k7VxTuF9rhPgizLGp2988CwQiOWMRL31qk13/cZ58yYeYMoTEkM0WJd5uuinF112x+724d/XZsPNyZcu2xKZdSMQbQWIqzTUb8hm698IU/tSXj5clhMAdzyw+1MBfBydLxqSAKo0PmfTdweiYY8eA3QXyxLUlXn38Ci5urLPmgS7ZxwUEhA2BCoj8NlA1AgYRUDVAAhrYLOAiAGQOQDAcBmwUu8vqH8+37GLRebpQNQTgT7hZEyYeV6fNQY0UXoe+OPplxHxsx1EK0OKJdLklGM5+VixDAjw4mY94IflWHHZm1XBBusE+AN+PO1C4oL2iJdr/hD+T2dwwltzRn1u1+qPnzZcCHTsUVm9c9PXZmvt8GuWDGAF/jdi2Js4fqzrDVeAwQLU3snYB728Wp4rHcfnIUjpfQ+fy8VTed0AD+xhrx4Ac5fvuaMgdwCtZ+qCcX3akZEhO2AWOt3nJPhGwBhEDEGUDThGwAVxmAXU1Hh5AJUByBCgJP2Pyf57pT8GqJb9oMh7mWb72Yi0FSIt5zr76W1n9uv2LEbxDA8YOn0mcH6SN8Y8HvmBkeW+y3cuMSLc0nLXqLEVYLdbm6x14DcPnb4vcJoHxJ0pK6qFQ/xcQzohyxE50MFick6mxrh+bQ7RGHnxqr1NPX8FEDSghgvqjZ7X5pC6SlN7P5YPevkwrXdLcjGUXgW8ZvqeXvXuPuC7fPqeCPROH+AesH2ER8BvU/3Srzi/74NefNbdwv3hvOd/Ks4QOH9zjIAMB6IswDUGoioQYwDUJKBqABz671cEwt4/ru4vqH8NYW17YdWZ4Ewx7tDN7NnTzu/5YreQBAADhky9hADOq4zbexQgZAhEeZgd9fackQ9293xKfX6tAn/Q0Nk923n7a8RhG8l8whYOiEydaU8axP+NCDNevWvUwrX1hUdcufQgk5sXohgFSfRKfeMmN+ZM0Unnx/MetfeEOEDhWF4k7yqh9SKGLwd4v7QXBXvQo4eBHvTuQVD7o+H0Yn1VWX3T6FCeDWe5eQX6EGABJQyBHRq4zj9oBJzh/E5SUIYBcQagPP0PZP/d2N9O/ImXnfkPJv5s8OsZvaNt8WmE+C0GUEDGLpjezU4/kSi+/fVpol7vinRiqH4o6A8vemJnOwg+reuJO786be2t/bBWgd98/LRZQHYTg7caS2hxFu+BYojPUK/eR7VMGdy2NoA/4splxxe59WsGxBgaz+iZhplIhiW641TJrZ21V4U4SsbekdhGvbyk9TKOl0k7GcNHPXyXkokvBXgX7IpHF57cB7kD8HhwB+dC6tnKDICZVwEv9u6DXt4X3yg47wncB7x/XfDfAvDJBqALa6E21gAEcwC+AYij/9L7y9Kf4/194U9c1p+wqJmF9pM5L/6QCEhH/Yrp5/a5qzvP3x4jp/bqWg3/JjnwNfzAh7P64YN5qx2xW1vnjhzRnXNZLx5/wPHThxO3ZpQ9cWVZJ0Ro0Zkx5M05w98q+7kUG5xy+ZJxHGiUDRI0Hspm6+5Vk3iJ8bxFFBfLB5J3YVpv1pCfpZdJO5mwiwG8S+V9766C3ffqzm9xQHf/ViGwU1y22E19w+AbBNUQ+EbANQkljEA4DFANgCwHSlGQLAPK+N+h/zL7DxhX+ouC35X8KnG/SPrlcquPtTg/QuyNIZsy45x+k7tznXYeettOpln4F7lLm5XcV2hZM2+JM5EE17SjF9w54oHunEvSZ9eKxx8w9NZtybReBaAeaU8aETsYwdi37x7197Sfjdt++GVLxgLyUYjINTBmZ7J180qDvhS1lyU6P3mnenmf1ncf8L5n7wh59A5I8t5G0ZOJQPuauHgA0KDsp2j4AZu6e8cYhA1BfZAJrAkD4MX/pbw/YCL1VwU/YfDnO/cnKohJP4IUTr3t3H43d+cSDvjxlMFk4d1iqcFq94MAn2Zqs7v8Z9bJa3yR0qpPqtSXGXDclHkEYI8nilD7cF0zvCOXCjEN9llw5+h/VnvRxOdOvXzpcQT8LEHjELXptTUN/04D+jhqb9fkFS+fROtllj4Swwc8fNC7pwG7BHk8wP2/GtmGqmL8Yr5deTZU+Dt3RP4lbAzSGgE1DIjPAcgqgPNTpf9h7x+X+FNr/lLwE5fxF56/K9f+bSJrhJDbMqZddes5fe/uzvPXPGTqBcBpohrpxin3AscIhQLIcEbL3FGnduc84j67xoE/cMjUYZxoZtUnan9xnNt696jjq94HAAy/fMn+RNYFSEKrze6sq2n8hwp6k4OjwgvF83FZewe8fsa+nJcv2jJaSevdGD414KOeXYA9CHTnX4ngboumS4yaxlhDUMyJkfahV6O9CG/k5RsF3yCI30oZASccSGYBcQZAVgEMNwEYoP8h7x/M/DvUPz7rH4r7Q56/M9e2HxD/MQEXzuIPt53Tb161z6Fd1z9+2lwiOrbifcQo+xjDYxbcNer+ivdRwYZrFPgDRt/bCMuXLiDAzeXSyuEsPomJqWKahbf0svO7u8CaCLL+a2j1u70554SqVVWjLluyZxHpYrIgwxh7tLa28UEP9BaQmrmXqjwhu1Xj+WDWXqX2bk3erKFg8i4cx/tJu84u+Xuch1epfGVgjwDdBXgSqMVz0AaV5UwbnRW34wEvjUPIIDiGIJ0RqIN6PyGohAG2Aah1ygCSAQgDEIz/fe8fiP0V6a/llfmC1D8p6eeUBZ0JP11dbUdy4IciUsEgdv7Uc/u9XAGWYjcRmKAVS18Awh3FBmWf/xilHzL8LFOT2XlNUv41C/zjpl3uqJaUVznJYiAWQEKEg1vuHv1UtRd6+FWrtgcrfxUnqtcQn6+t6XlHdaB34nlVbst0omCJzo/lhZeXtF7QfPv8uwAK7u96BsgppDvg74RkwAc9e8irJ4BcBXbAAKyu8koq2RmVDYQNg/eeawzCbCDMBNRQQLCAqAFwQJ0RQh+vDOgn8Up5f5v6K6o/n/pXAf5c24mc6LuI1Ala9qzbzur5TpVXEgYeO20QIRfJPkfbqRS5Ko2FEeG2lrtHn1LtOYQ/t8aAv8txt+5YhOJrRGAED1IO+f77iHh5y92jzq32yw2/aMlmYPBrAbAXgvaGUZOdjlTvlOxSeXoF9Pk8xFF7WaJzYvkytN4USrr0gPc8ewzYJdA9kHsA95GeqelRVXwvr38ht1p5PlxL4P6QgFcNQbwRcJhAGgNg6o4wKIn+O97fj/3tzH8s9QesFvyEHVoh1zUCgHYBoJWdRfbLub/rV/VAzwFDhHqVi6adksq9yPvK5qhp+7bMXTONPGsM+M3HTnkcAA6OgrZs4dImQIjsZU2v/161wwpHTlzRy2ywriGLb4qMvZfN1k4GqivKOn3pmN7pqHPofQLoPWof9PIylpdePkrrJeBFvV1m3X1KH/buSWAPAD0E8niAxy8OnK3tGWsM8l2rEp6FnpFb6hsE3xiEDUGlRiDIAAC9cmBdnRcKBOm/ALOjBgx7f5H4c6i/k/WXJb9U4FdifsBOI5/rHAdA2wFjn+nt2pnTJjatrMYxiWGxVrH9JQJF+HFvAAAgAElEQVTatbRjDO/dxw8C/rPlntH7VHP8teLxBwyZ/mOyzDn2zkN1yagyCcFfKtlZUA4RO8Ew9myZc0pVmmmhmHqvfunlnPhOxOHzupqG6znWCaJti3PKgx7s+F4m8SKCnBDogxn7aPJOpfUFWzcvaX1lgJdePAp2B/FRoDsgV0G9sqrHM/pI9erl/803DkFjEDAEPQBijUAgFIiyAGkAZBIwI+XAdvwPGO/9pfoPUCb+wuAX1N8X/DhJP8OO551ZALExvwJ+Rp21nbnVZwDCZhrT3/xmR99zqm3p3XHIlD05hxc4kS5aBO1XqGmnHB9gjB2/4O5Rc7sL/m57/EHj769rW7xkgd3lVuWLIU5YcM/om6r8OJxy+edjSMw4J2jTMw1/0VntKgl6Ic6xErL3arkuCvr4eD6O2id7eT+O17N+jT3vef52PyPf1gYq4O3fbZzHgX1VWZBn6vzjVXtdxecKndHafdQY+IYgzgjIcMA2CDEGIKvoA8y8c7xA/B/j/aOJPx/8KvWXcX8Y/KrSLwx+zQIUY71kc4/Ju3ryYvvPLYJGjfG5M87Z9JZqr+mAY6f+kYj/T+LnSwh6HL+KLZvtse0uamdrNefSbeA3Hzf1IuD8t14bYpImN/Hs2DOt945yav5VvE65dMlehGBfSJ1lp0I2+67U3nuKPAsonL1PA3onng9m7WOpvRvLl/fylQE+6Nl9sKvevFKAZ/OVGYK8mFJfwUs1CNIQOIwgbAR6ALgsoJQBUHMASd4/EPt7mX+H+oez/t0Bv6gI2HJfF/xC2w/5/HYmz48CkX/m+McZ5/WrakLuoPEvGe2LXnuJAHZzLnO5HFjwZghGwBDPaLln9A0V3KZk+9KdD+8+dPoWnXnzXZFLle3FYYMVKec51N6m+4AorvG3Ftw7qqoZ48OuX9mE7cXrgHgPTdOfYtmGpyKg1zIkDUCwZJdE74OeXoI+krWPydgLiu9n6+NpvSE9fwkP7wM+CvZSQK8U3NXe81JGQRqCOCPgsAAnH1DMtGG8AXAMTpIBcLL/gEIOaP9UMv9eok8D9ON+wErAH0v7GWBY5CPAz/PtBxaL5oFMg9XUkP3FrDN6VaWo2+n46d8yi6bQ8+tRvFR0dxbpmcbt35pzQtUCzYqse9KpDBg85VoC+kXg/XJBipqlRLyu5d7Rv6zoq4Y2EnH9wtplfwLiA5FpH9RkGqYRAvcbboRAR867B4qr05ej91HQ+/G8U6aTdflOSPLyEVqfAPhMjeqRHcBLzx4H9nIgXw5BGUS2vndFGf58x/LAM9Ebepe8PXHGQDUCURYAmMQAVD2ApP+x3l+h/rLs51P/tOCPlvp0d6SXAL/8XdB+JGC5wuqRnGBbBHx7h64+v6823h84eMofONH/lnP4ETiJUVEEoDH4w4J7xkysBjuSZ1T1WTEyuNCZex+IggPZyjEX+T7DxY1GQ/P8OSfEp5/LnNWply8fbnHzOFFnNbK1NzBoXM3cWD4o0AEyY8Q51YI+EM+bdeR4eT9jL2N5P1vv03opsxVJOzWGdzx8ee8eB3YV4GXBvbTM+hJ9+5YGuWIU4gxC2AgksQCPAYRDADfWlwYg6P1l7C8z/yKDr5T9akWJz8n2CxqZzvMHwa9riL68V23pBeTQ1qOQ6xKrI9cDY3fPPKfvbdUASFD+tsWvvw2ctgvW9UN7S5C4I0K7UVu7fbVz+av2+AMGT7mciM4uX5eM/yKMsVEL7hk1rZqLNvKyFXuYUPytOHlDq7kN9cb34mv1asMNULBkJxR8zuDLsDAnydPHg75Uxt4Fvevl4wEvsvHgeXebwiqJuVJgjwA9BOyahr4Vefmke5BrXxp8PkKGQbKDckYgnA/IdzkgjjMAMgEYD35H9usn/roPfkfh53T6ieYeu+NP7elX+vmluo9bK7crmsWTxZfQwPjztHObXq3mOR5w7C0ncE53eKGvHfGHlKyhHQeUf4g3Lrx3zOnVHLsq4DefNKsvduQ+IKBos3bZs7Bj/OcX3DN6n2qWFh56yfKeGbQuF51/msaeY9nGeWpcr2bwxdBMsba8KNUVLRHT+3V6U/xeBeidUl1YjOPH85Lay1g+4OULQie/WinH+ZQ+TOfDgBeePQnoyQBfUvZulN6gX+zbnkGIMQRhIxDHAkQeQA0BpAEIxP+e93eMRBz191R/NvV3S36pPX9Y5OO2+NrgB5Qr96qZfife79zfssx9gLHVhaV4zpxLe6dmrraWf/CUFwhob/9CJ7h4bwO1rg8masbOC+4e0Zr2RlcH/MG3XAScfisOlhSDJJQpARlyTcO93547uir986mXLf25yen7DNnHLNtwm+HG9eUy+DbQI+Kccok8J6aXnl6CXo3nE6l9jJf34/jkGF4FvKTxAcAvXQrxQPdBXtfYL+jpF6V8LPoHt+9sW6I8J1FjYBsCxQjEMQHVACTlAAq5YPxf2vsDBmr+VYI/LPIRMb3w7OEafzjTXyRgPL96OBBsRYz+OfPcTf6S8irbmw88bsp+3KLERqCyOhiAya33jRmf9tipgb/rsJlN+bbcB84tioV+aJ5w8JQQ4caWKunJyVcs24lE6dDiPJutu4VpDcv8uD4+mRcu28m22rT0vmrQh7y8SuuTKH3Eu8eC3QG6B3IF3Ek4r+1RuqTXtTq+lBewA+4/fGMQNARxRkBlAckGIEj/pfdft+APdvVJ8Mcn+0Sdv71Pvtg5BpFpwNhFM8/uU9UAmeZjptwPxI+yb2iZOn7kfYAuI9u4ZdqmttTAH3jsLRO5RRfYJ2Dj3i7LOT9jXiFGkNeN7LZvzz0ltebZXviiZunFnPHNdc34p643/V9iXB9I5vllOx/0zuKTpgkkFq8oF9OroJeyW+npk6h9TmTpXQGOmrwTmfqKAO/G60HvvqQk0MsBO61XCG8vDUOyIfCNQDgcECyglAFQ6b8a+9cIFqC0/BZdgY9P/f2kn632S+H5dV18Nizvjar74pJ9Mt43zRU/MK3i9xmwT7fr7Ht+NVn+nY6etrPJ+GtApEU8fEk36hoKhPNb7x1zSZr7mwr43zn5th4rV4vYHpqSY5LwJAHXKCCKsUZ/W3DvqJ+lOUG57alXLj/KLJpDNZ2twkyPqQZRUZTugsq8+GSemsEXDMAW47gy3PSgT4jnI9Tej+XjvHyY0nt0PuLdFc/uunLp0SsFen1TZeIdea07VlQm4okYgv4AcUxAZQFJBiBI/xXv36OHLQEWtX/f+yfF/YBpwB+Q92oie+8s5ClofalknxrvFxENK7d6FHHeUzf0Obf+undVo7IGHHPLzUQ0pjw2gjkAO9mH7OPN99z2m2nUfKmAP+CYKecS8UtDfYWBcw0TAEkGGMOCgbj9G/eO/rj8lwtuMezilU1MK15MnLKZjHEP03q9G6b4YZFOMJkXyuAHtPdAvjgnOaZ3PH0Y9ElZewn6+OSdBH2A0scAXqXxlYA9APA1tUzElv69KGUQAkYgEA6EWICbC1ANQJj+R7x/LPidGQDRpF9l4Ldcby/Br0p7g5n+ULzvinv8+r6g/Cu3KxSKx4r+fc6zv5l1fnphjxDDdeXNhUCiGVk6z5hQOkEngwxOaLlvrNMvU8ErFfCbj755IRFsL21OXEiSeEzEqpIQYn+nXLn8p9zie2oA7xrZPveVo/h+XA/k9dQrGXxhFITXF0tJC+ltwf73GgB9IJ5fBV15pxNOUvvKvLxL5xXvnuTZPaCXAXnPlB5/VTmP7xqDJEMgjIAXDngswDEAabx/bdaRAIez/uG4Py34M5qoACiNPeLfZg4F+NVkn/D6qqa/FOUv5pcdY3G+HWPs5Rnn9v1bBdiLbNJ89C0XAdBvA7gPb5WQTUeGz7XcN2bfSo9bMfAHHjt1f25aT5dTGkUOLBYFJDABM80t95/6fqUnJrc75drlu1g565cMsUhGZmYNy65KoviirCcy9463d7rtSiXz1IYb8Xtc9r5iT19oJDVrnwT6ZC9fGeBLgT0M8A/SXuzQ9t8I/TvWIJQwAtUYAOn9JfWX4BenIrL+SUm/ysGvavsF+KPSXh/8oXjfXoev4Il7VMqf4/meWCyczIkMrUa7dsYve7+R9vIPPG56H26aHwNQrQzOylXN1LIa0/W9Ftwzcn4lx60Y+AOOuuU2Ajq5mtFBwGB6631jR1ZyQuo2Q2eTlnl/yR8IqJ+mZ57P6L1eqpTie3G93aATTeaFQe9Py+kE3QRSp+QEE3lBei+TeBL0Mp6PS+DFg7484JPArgK9HMgb2yqL89saS8f3qjGIGIIEI5BkAJK8fzz1l3G/U08SSb9kz++U+mSd37RpfZ031cf29l5jjw9+NdmnS2GPF++Xp/yWuXKvgln4HiNcmv9mv/+dcwJaaZ/5AUffPJkIxnp3IZ0EfkbL/WMqGsxZEfD3OHZqr06TfwZA/mLo3jcqfWZfdM5Zmm7sVI3IwB6YyeFEBtoKLZOZrTHDDPfXi/q81OE7U3YSRDoJyTy7y85ruBGglzJcR5HXHdDHUvtALO+DXjD7MKW3AR+i8RLscUCvFNxpH0a5fZxRkIYgzgiEQwHPACTQ/1KJPyfurxb8vsLP1/YL8AelvdF43xf3hOv7fokPUJddfLyoW4XCCRa3mpgOd1QzqHPg4Km7cst63Z9JGYz4S82wRMRCBuu2fuO+YWWVGxUBv/moW34KxP9qPwARYVFppREizGq5f+zJaR82oWoafuWyP4LFezPNeDJj1LVKim8vZml7cieLXwnFV+N6MSTTYQROXF+w2267A/poEk8FfUe9620V0Nc1AsEiEP+VBXwS2Nc20Mvds7AhiDUCWwKUNgAOmFXvX9/hsw6V+geTfmk9vwJ+3VH5+br+cvF+MuUPC3sKxc5mMgsHE9OW3XZOn/+tRp064OhbniSiA8td/7j3GcM/LLivfPNOhcC/+RUi2sNJ5oUm6ESSD8G6Pmps75b7xqTuXT75ymXfJdM6GZCtzuh9/q5pBQrPzVO9vczihym+roO3fp0o3fkUX/weVOUJii/bamPr9G7JLkjvk0GvUvuanKTayV4+7OHjAF8Z2OPnQvbZdPuS2v1ln7+T8DxsX/YZVI1AJQYg0fvXOKCPy/qLuL88+MOlPoX2C8CHpL0CuHKGXzDeF3LdPJai/AGvbxYcxZ+VwYK57CeiVTyjazOn/brPv8pevNAGA4655Riy+L2Oo/XL4eKf5er8yNinJw0avVU5PUFZ4IsJodw0feCWHRWkNBkgvtb6wBjbYKR52d7+smW/BeCb6HrmGV2vbYlN6LlCnXAWP6DDj1B8IrEqbSXJPNlhZ+vu1Tq9ksgLx/SRUl0CtV8dUtGpoE8PeB/o5cCd5j6o2waNQrIhiGMBXhgQ4/17CLVgBdQ/6vl92h9N+AHKzj6/rTepzOfE+0ZRIKwGBPiTKH+pLH+gts/bB1oF6wcAbPFt5/b5c1qvL8Rqs16ashCAvhkVyIUYdphwO/g8uPWBsU+Wutdlgb/DUZNvQILTpKuIdA/FH9hW8jHEny94YKwTIqR4jblyxbdyRfNUhtiB2T6zDSxwGb+LHvtgzd7vuovL4vsU36/Xx8X1hQyQmsFfK6Dv7Edhal8d4CsH+ptViUgBdt6p9A0rZwhKMoCQAZDev7NO9AQEy36lPX814C8d73v1/dgSX1DY443sUmr7wusXKcN4YdmJxKkuw2BGNXP5m4+++VfA6apoBi3YvRdNtotFu9jUhQ+MGV018AcdfX9dG18kknop1sCTloDlslCz+X8eTL/u108uW3Q2EttMY+yFbKbhrejATL/HPpjQc4Q6Up2nSnLj6/VElSTzhBGwW2qr9PRJ8XwY9GrCLp7SO4BP8upxIG/arLJsfvghWfFZNLufZAx8IxBlAmEDkOT9g9Q/GPenBr8BKNt6VWlvuJ3XLKK9eIeM9/36vlPi87L8rqpPCnvURF+ktu8m+nL59p058W8j8s9mndv/ihR+z97UVsmu6vovkSAvJQQ9kR3b+Fu1eT9903nTRuWSjlvS4w84asqPObfmBPqFgyFHhIl4sEeY2fLguOFpv/BJlyzbGRkfyZB16XrjXMMwimKZK0HfnYRehvx2W+HtE2r2qSg+UVIG3wO9PfzSUeRVTu/j4/lSXj4J8HFgV4FeLcDT3h/VIMQZAscIJBuASPyveP+4uF8m/cqB3xb5qAq/EuDPFDBG01+a8sfV9v3efad9VxgGGfcXi0XDLLQNMcms1erqps78RWNq7tV81M1/AaKAxD1JGStbZ+T9ZIz9eMH9YxKX/C4J/OYjb54GRME1uiNDwuLn5jOEAxY8MC71umPDL1/+M7KsrTTDeNnQa9+spHyXnNADEuo8mcVXKX608caR48ZRfCeZ58twhTgnrMbzEnleTF8Z6KWXjwI+3ruvD7AnGYdSRiCJBUgGIAxAnPevBvwBhV+PHqEaf/l4P1ric7L8VhHchTqiib5KyntFs7CzVczviRr7+LZzeqcOee3Snmm+Hrj+Zer60jAA4NzWB8cmrj+ZCHw7wfDvWz4HpH6lpcMxa+EhvNP6wNjmtEmNUy5fuS23zPEgdP1G77sNA2K9fbB858hykxJ68Vn8MMUH2tBAH/bwEvBpPPvmzdXRfPmgfdpaWbOO2F4agTALiGMA6xv8piHGdznDO8X4LpXyh7P8pRJ93qBOW9EX5/XBsIrLj7MsKwtAN806v/97aRlW8xGTxVoTzX6OrTTx93pjEDs266f1TaL7icDf8ejJ3zUter7cKKCEL3J+60PjUrUJiv2cctmyoRbQHrrG3jb0+ldLeXu1fBeW5ZZL6PnevgKK78X1wbJdcva+O54+6uUrBXwsyP+R9jELbR8z9LycMYgzAHHef02CP67M52X6K6T8ccKeyhJ9vqIvTtSTK7TtQRbsqBG+OuP8PhU30cg7MeDIm/9ERL+r5k5qDI58+4FxD8V9NhH4zUdOvuiLwVW/LTcBJPK+mLCTrdkybc/9/hNJ37x2+flijB7TezyS1flqL5OvxPblvH2phJ4v1AESU3TULL7TV+/IcdVknhyVlRTX2+KcMsKcpCRekN6/E0jaVQL4ANi7C/JKnyzFGJQyAskGwI//04E/mPCTIp+4Ml+kqScE/nCJz5P0KsKeuESf38HnKPqc1l13Zl+M1xcZ/rzJevDiqsMBsdDc1fviiRPRrPRSi+12OmLqHkUqviJX3ikrmVd2joiTWh4ce1o64B8++TUC2q2sYCe0VzFPr+XBsd9P8+XEtsMvWbG7BeYQHdmKTE3DE+G6fZJYJ87b+z32MTV7W4cfFOqUi+tLgh5s3bjNxOKy9yroV7hdcnHxvKT25QBfDdh32ikd5X/rrQopfgVGIGwASlH/JtkVmJjwc8HvinzKgr9kvK/q+QXlV2f2xST6Spb3ol5fresXcu0Hc4ImBDb3tt80vZYWGzscPnnhF6vlxoonSjlmRPx0wQNjtowLuWM9/k5HTd/atAof2idYWpEbM4EHf9f68Lg/p/1ywy5degoAfhMZvV6TaVwYrtsnZfIdg+C02SZ6e7OWxBz8cEIvTocfLd057bVJybyAIi9Upy8P+iC1F6BPiuE9wJfw7OUAXo5nDi1z00oaBNcIJLEAYQBk/F+K+pcCf6DOXwOYlOn3k31KN18i5Q8KewTlN3VHzlu6vOdo/eVafIEMf7iuX+jcweR8Nw3YezPOa5qRFhsDj7rlYm5ZvxGfi3brRdeiVCdiIWp7tzwUVc7GAr/5yJvPAM7tnuLya90GBQVowO4t940LZiLLfNOhf1vcUNMGZ4LOgBk9Hs5oRi4yWUdR6cnSnmjBNe0wwBmaacf97nJXRSPs7f2EXkEZqqF6+3L1+pJxfQnQCyWeyN6Xo/ZxoC8H+DDYy4E77UMntw8bhUQjUMIAqOAX+w17f0n9KwF/UpnPj/djxD02+KNZ/ozhSnkDib7SXl+V8ibV9aXXL1jFGp5feThwgFwjXDPnp5ukWgFn4JGTB3ECRz1brp4XAiwx+P3CB8ddFL7vscAfcMTNDxHR4c7G5aDv7xIRPmp5aPw2aR+uU69e9j2rQAci4qJstuFfalIvqtLz6/ZqJr9ybx9N6KmSXLV0F0fxk8p2ixb5zTZxMX0S6FVqf91o2F9nMFhjIAYqbA7OulOLiOB9InikvR3uvPpq+GBdgT3uPk4ZDDtmdBjCCX5EAN9AgL4cYCUQfEwc5hXycO91V8G/IMEAlKP+AvwlS32KvDcM/sR4P4byh4U9am2/nNcPxvpBrx9U8/mde/l8+3eJsL+Woadu/VWf59NipPmIye8R0bYRoaxCyuMIOiI+1fLQuIPKAl+o9VYXP1+GKFtwQzO+1LXvQj0EiHB9y0Pjf5r2S518yZJxDLW+pGVeqq2p/zQo2Imq9IJ1++q9fVJCz+mtj6f4stMuHNdL7X01oL/1d7BvVoNLEWGvMtfO5Bym5nJwwcgHYXEl13nnoenie7nPN+cE4/zJx8A2WR3+zBBOsDi5DsOhmdyNCcXvwk0Q4dNmHs7769XwijAAYfrfHfD72v7y8X4llF8m+taG11cFPV25js3Jyu1lkbn077/ZdHIl907dZsARky8jonPKLbIZJQSY2w626PXww0fk1f1FPP6AwycfSACiLdC5nSGlXqlFMBG1I1ofHvNwmi913OVtm9SaxVEas0zM9ng8q2csdT37ipJ6ikovIM2NxPa+t0+T0Eui+DKZpzbc1Hc4QJP0Xvzue3s/cy/j+RvGwjmMwYViEdQU1+2/XUU4fsQ9Lv1zP1gW5H8oc4QL4t//DcBByOEOzqFJwE08Gg7InceHu0+b/3e7i7NgmfCzv1wOU0t5/2Dc7+Sv4rL9HfW+IVLBXwnll6q+4PAOlfI7ib5KvL5a1w+q+ZwMf3Qkt+P182ZBo/zKQyxu6F26MfXucxorMtzyjux0xJTvmNz8VzjnFgN0r4NPMnamYURMFwX+kTedRxZcIi9zZMcJ434RoXOz/kafUvrguMfq1CtXHFAsFvZGzfioNlP/RlxSz14pxwLKiwUxXOmu1OSLtttg3b6y2L5qb68q8xLi+kpBf/1Y+JvGYFwKwKubduVNGHKJDo9FPl8O4CkOeN75cBLTYTrnpNneXCzxZDsF56frHgK/2xPQ7P8QOIcL/3Y5/NE+ZIL3rwj8MZl+meyT4I/L8q9Jrx+s6zsLb4jJvHIqrzefT5b2Qkm+gtWxi1ngWxuG9uKtv256OsVtgKFDZ2uvt69aQUBikkPFq9KLTTWEPy54eHzArEeA33zY5LsAaIg8qUrrhgh4b8sj445N82XEtidfunQEAPbNGHUv6ZmapUlJvUTBzhr09pmCQ/HlSrUiky+9fZDiOyKduLg+HvSiscbBiIzpb/8f+Gs3QC8vc84EOPaiP8Djaa97JdsL0KMLehvobm7Jgbv8t28EuCsvk9uJY4jfuYUX3nBlPPijtN/37BHPHwa/Gu/HlPgiwp4M4Lry+mrzjkzymYVc30Kxcy8AWjrzvL7TK7kH6jbNh09+jIgfIkV1NiMPr7UXlwRg+EzrQ+MCcqwo8A+f/DEQKUOVS5+erCMi0hktD0+4Ic2XOfw6yjZ1LD9DY5wMvfZpLVtvxtP8YDNOtIQX1eR7gzPdur2ayY/39kRJDTjhhF6Y4qeN69cQ6H3wm3DsRRetWfAL0IMG04lA8+i88OBujkf8lGuoeCzAHdLiEAJnW/myLLxwUgnwx3l9SfuTkn2lKH9Soq+YQWdGf4Kox4/1w3V9p09faviDnXvR0p5I8oWVfFa+Q8/nuw4gZLiivvf1D/8CA3F3Oew0Hzb5gi9MacmlseOk/ADYsXtjz55z5pzgzQAMAH/HITM2Mzs6P1W78cInkyTo0XR90NsPpFsPb+S1q3YodhSOJB1X1mYbX0pS6kVab0uW8JzJOnEqPbVuH87kS28fV7MPqvOWQF0Zil8qg3/7/9j0fmy5m5zy/ZwZAv8FF1SX1BPHLVhwEge4VYDeB68Eskvxbc/ilHKF35Hb2XG+6+ltj+/+2zYeHC+8qbvg7y7lj/H6wQy/U9cPq/mc+XzKsA5F0CNKe5GW3QQlX1dn215I1MvQMw9OO7fnwjT3ufmwmw8C4E9IZ+tcX3sRWjf8Sp6QpWls17cfHOtN/g0Af8CRtxxDpnWvl0BwuESoKyC8ZJa9i1zjNnv2mH/TXsU0X+SUy1ceyIl2Zqh9UFPb+F53aH5SB54/TkttxIlKc0Umv5LyXZK3rySuX0ug9zw/AAwG6J7nF6C3SIDejem9eDIIbhXskuILL29n+QOU3w9Ixd+J44U3X51M+9PG++m9flTU0wANNgMQGX6vgccd0xXfuRec0pOU5Iuj+7mutm9ysr6hEbxx63np4vydhs5uMNtXrRRLbXmheBnge4yc4eiWh8ZNlZ8LAv/QyX8ipN+VtCihmEJYfIbs+ZZHxqWX6V665GRE7MWMzKsZo3FlaZrvd+EJBuDP0nNEO3I1HH+kliPYkZN1Snl72XLblYeIQq+stw9l8eO8vYjr1zLo1wj4cxacBAC3Ook859Fw4nWH1pPb9M19pIOfyHOXT5RZf/eMPAagVgE4XTjlavbHUsm+OHGPSvlllj88vad0og8wKcMf9frhzj1/Kq8zm09p2XX78FX9vlDyxdH9QrGtFy8W9mBEK6ef129mGkcptt3hsEnzkWBPv1svKKCL0fY5KVnGbmx5eNzpscBvPvSmxwjoEOnk4xx+nIYXGVzb8vD4M9N8iaG/otrsZitGAre4nunxTwOA24o8d7SWkOjKbH6sUi+U1OuCLnvyrl5hCa8Saa6M7cvV7Mt5+98fv1bofdLlFlNXUnt+AXoS9J679F7G6/ZR/EReIHGn0ng/nA95fIc1qiVA4SyI2IXThOcPZfqj0t6EEp9C+eNq+1LOq8b6yRn+ykp7pVp2Y5V8Mdn9IgAzCxfhE6QAACAASURBVKu/z0Fj/TNN064+C7vS4Kb5sJuuA4KfOwCPIjQpGc+AzW95dJynE/E8vhhwOeCwm5cD8F7BtfFKC3jEoRng8JbHxqeyXideubqZFc0DGLGVdY093wiub++LdpKy+apST6X5FSX1CkRGTSMlqfQCmfxS5TvX20ebb/x6/ToGfVWeX4Ce2/Qe7NVavRKdDVD/EfNLeWrs7ngcj96r26vxfkzs/wWzuPDWa6Oevxz4paQ3jddXpbxhry8SfnIdvqigJynJ54/nCi69JefyOTV9SffVMdydbat24ch7cUN/+o5f92hNA/wBh950Aie6I2mx6mgOzg21kPK7NzbVywSfB/wdj5q6g1UstpYb3xvXtKMZmea3HxiVKlEx6qoV+5kF3gygf1TT0OMTNb73RTsym1+O5vu1+0qTegL0/gy9qEqv0kx+KW//P8fD39iaT+SVfE48j4yQYxV6/q4inGkBXCVQHhHlcBI5PD+DLzP2AumeJ1e8unt2viEIJf9U0Y+TFLzwtlfZH1V1Xznge5Q/weuXkvKGvb69DHdjIwgNf/kkn6/fr4buy7Jern31lgDm1nqGtU49qylVQ/XuR03foquQ+yRxmfoSTXUqTj3gDzxs8hDO+V1VKINWtDwyvk/aaTvDLlryE9BZfUbX3zSyPdpkfC8MgErzA6Idmc2vmuaHk3rREl7FdfsSsb2o2a9r0CuAd2m1DUbxWA/WK0j4dZjwK4vTlaowx6/GoRPLS9FOgAX4RsEGuxLjK9W8SMLPZxWizk8Xznq9FPiDtf3EWL/iur4T64dLe36SL1nJV47ulxbzOCq+Yn51o2kVdjEt1vb38/vckcbji22bD530ERFsZRP90DoXYcet7psxHNzyyPj7ZIBgv9d82E1nAacr4+qAqlAofJII8FjLYxMOTXPyIydSTTG7fBhpxKNlvHhtfqDvXgH+mqL5nbZ4B6AUzQ/r8ZO8/TU/3f6v68rTuyI6zyPbmXNFYIMAOWSVgb/NhF9xi650ABxV6KnxvbhWzrGcl1/TD8p5A8lBr8znJg5lBUDU/IEuvGo2E9Jl+1Wt1y+n5qvLAIqluNYU3U+S8MZ17EntvlD82WU9DZnR2XvWtImYOA03DlciFwdEh9jXvUyTjvp5RPxNy6PjLw0D/zri9PNy7ffhEyHESxc+Ot7uFa70deqfPt7C1BoOYRm9rTbbsKCSMl60E6/6bH6lNF9N6pVS6amZ/Gt+CusO9BHAOXfA1847MfoXN1yMChmc1cuX+lbm4UxOdFVQkhsEuGoAnAYdJeZ3DY/MB3iePVDi842TU/939QAEf7rqTubIeyPgT/D6sWo+v4GnkiRfabpfPrsvxDzRjj1fux9X1uvMrdoRLKrXiu1P3Pr7rf5bKXbEdgMOvekGTmRP1imHV9UwIMD01scm2IvXelR/wI8m3UcAR0eAHS7bh2yMhtqEBY+NuynNiY+4atnOxSLtqWvG0mxNj4/Kx/f+vPx4bb4v2ombpxffc5+C5ocFOwlJvXUFet/LOjG56vU9Hb1SinNvc44DDK6vEPyWu5hDYN8hQY5s1FG9fuzxBXsQuQJ5TvbD4mv9pdJPfNYiuOgvdzG726Cc1y+b5Csp442j+2Wy++6UHinmKafdd5p2gmU9Gefnc6u3Ni3e1zD4y9PP6vNmGvwM/NFNZ3Oiy93LGF5VM7Arlfojwr9bHzvtO2Hgv04Au0ZOoAyXYASHLnh8QrRRpMQ3GXHZ8n0spn1DJ/5fo7bXku7E9wW5+KVSxguLdsIS3TTZ/HKCHent1xXoHY8e8rLSy6u1d+VvEox2zA9wbH1cY0/ofi3Pw5mW5azkEqbztpcPZent2r6bag7X7r3Qw92R5+WVCoIq7+XALvrLXRAAf8m6fpkkn9q8k5jdj5Hwxol54qbzqHRfqvgCy20FynpunN/V3q/Ai1sYCB9MP7f3c2mA33zITccB0lyHaVWm3HP3v7j1sQn9A8Bv/tGk1UTUWE70Hz6QZrABCx4an6okcfIliw8HwKZMTf27Otfay9Xv08b3ZUU7BaCknvu42n05mr8uQK/Sa68lVqmPB2vtkjqjl2yztfVOMihHCMf2qAD8S7sc2i8+Z8fzHl33s/+yPu/kBKIUXoYBEaGPrfh1vX4oDBCfMQkuuuFu9odSXj8uu28LeuwkX+V0vyYDWMy1lcjux83kk9r9ZBWfF+fH1PNNy2ooQG47sMwVM3+zSapW9gGHTd6NOHdm94Ucc+ySWh61R9pO36pW9ObbVH/nQ2/uXeTWMmc/MXPy3b9FrRLS5lsYdWlbcYddsWII52jUGHqLQUbRXyWn0vp9UlOOUOv5E3SFWq/UaC1VopuYzS9D82851Y7px6Sx2Gm2tTHhxcG+Dj6YTHMZgPTybnLO9qJeAs4xBm65LocEx/aswUfVcxFajvC5LRLgt/hVPrB9NV+kQ0+q/OKovBvHB8qF4TZfqRtwH2ZOcNGfr2d/LCXj7T7dD0t4w3Tf1+778/elii/YtFNpPV8YhCIWjWLRHECMirPObrK9d6Wv3X50a32OuuzxXenwCpDRYfs3Hp7wrn2jdzx00p4Wh/lxBw7vWN0GET9rfWyCGBFV8WvQJDJ2XLHqOGCaVVtXeWIvXqYr6veVxPcpy3gh0U5SNv/mU+BvmgYlFyes+MIkbKg2vXhgF96b4QIgeJ4IegPCAZxTD09mq9TjvTjco9VuIk4k/ACO7RMCv0sfAwbgMxv8dJUf7zvIlCxCxuth1uHuy4/tlRBF+GOPRag6gVDCknO46JIbHfCrdL9Uy65Q8pXK7ofpfqqyXkycHy/fjRfyQCYjFKbIGWBHR/sARpb+dlPPu+dPwFR9Ls2H3PQ5APUvl9cPM3Sm4YEtj0542r7BOxx8o+i/t9fZCk/ciU748Of92aO0H5uQSqM/7OKVTSyjHYicCuHGnHjhjmABYqBm1tbny4GagRVyqozvw9r8NKKd369l0Ae62iTi3IY4JDhbZ3CNEn5v1mXCHZxoXz+L7ivw1A47bzyWc7NzmAD+sAH4tAN+LRJKDrVX1XwhPb9rwPxtQgM7AmpAJcFXoiQoaP/DzzjZ/mWfl8/uV9q4U5sNlfVSxPmRer7drecvtSXr+aUSfKJhhxhmeMF6atb5vVakcRLNh0x6jogi2EtU7slMDdNGtD467lYb+M2H3HjWFxOirnQOXGacX7A+cHvr46cNS3PCp17VuYVl5b+NaLSL+XpqYq8ABWD2NF1VsSeBL2i8uw6e6LE3gERiL7AeXkLvfaUtuGXjezebf/kv4K9r09PHy1+Fgs6+XX/MMIj0ZHcCbMZNeBsIesQlz1TPL2v0buNNDhgM7l+DiQlaGQJ80g43WZyPleW3MLgDHt/N5Dt01NUEuF4+mtEP6wCcJ8ov9YmWXrjo4WfZH+O8fizdTxPnJ7Tqxsl31W49dfx2UoJPBX4GMiA8vWU5Cb7OzlVbAFI9cP7izPP6fJIGR80H3ygGeZyaVnDHEH+74LHxFzvAP3jSVV8srfsr5yYFlfrhkwmYBYSLWx8/7bdpTlj04Ju54s4601aWyujLuH9NJvbS1e9j+u47gNYm6AMJPK8c54MCAO7JaOBNRwpf97YC3ENAx/jAUr2torALe2Xh+TkM7t9QFvzGR23wlMX5PoH4XmnoccIRP58gO/vks+UA2jmBYMIyvo9fLQ+KmH/Wne9dKFfjDY/jTtTuKzP4SzXtlK/nJ+v2ywp5EjL7Js/30msa3pz2y5pUkvfmgyfZQznSCHgcv45Xtj4+4WzX40+aDEQVDYdQD8QQTm95/LQb0wB/xCX5nbmW/ybTYXmGsitNPUOaBhSW6sYBv3RjTrQNt6rEXon4/vIha8fTq4MrHTCoWXP3d4QPsswut3YkXe+2IkzhnEbGGZA4Ka6fP7CbqwXtH7x5GfAv7oBNOkx6mwCaIvmDhCx9oM7v5yq9kCFQ+5eVAXvIR1CFaNf5Of35jrm6J/IJjOMOlfUqj/MrSfAlCXlEgi+5YSc+sy9m9RWwgPle3ITeUDDfn/G73t6QjErwNOBHk35BnK4tB/xwqA6IUxY+MWGMpPqziNu92DExfnKdkKE2bMHj426v5ETlNiMvW7FHUaMta6FmKaLWVl1GP9h/n9SYU5VwxwV+uH5//Vj4i8bWfCIvGMv7nlD1iG6IP6JGg1KrsOCqArxJBAMdILkUO5Qpt8HE3Rhd7Z0nAI6Y0yoA/3ur4DxO/OKguk+yCzmVx6f46neM8/i+YVAESYrYx2MNrk7ANOHPc+5xYv5SwAeX7sf16JdO8CVn9gHqRGYcTTGGy57Kk3OBDygVfOUGc0jpLpHV2AW5voaFn0w7t+nVNDgacPBNozlZt6Re4g7wnpYnJhxnA3/AwTfeQ2T3cJfX/ipcHzXt2JZHx92b5oRPvmLV3gBWXwO0pQar6SwHfDlfLzp4I31GPyzcKaXPV4G/NkAvvbIvbol6eZmIQ8C3anTb20uMRC65kNoSCKmtn3wLAi5mPJaq65clQ6fOf8w2DRg7wFPE+58B1HaugnctzjdVk4kBYxVK1qkTe2Su0qb8gt2ofQEu4wlsH+ros6f8cLzoznvYhdUCX5xrrG7fTfCVbNjpZmZfAr/IzLqime8LurZ05pk9X0yDo+aDbjyRAP6eJhnvOHb8R8vjE/Z3Y/wbHgfAg73Aq8QkjmB5QDtk4ZPjn0hzwiMvXfXdAkHP2p61i/WikRcJPVGSY3p8DV8FfnSMdnDwRqJiL9J/TxSerZeU2Lv5TPj1FxZ+jQ2sDtNeFaiON3TIm0rXAeEntRrMTqT4JnzfsuApAsjI6Tg+mEJZeKm4S+yws4+/OsPwu5s34ttxxxTgf2clnGkRD2n61QGbUUMTMEphyu9yUm+6jycIkqGP/dh6YZB4Dk0Lxs14WrtNvGMn+KrU7RdyiKCsthPuz09S8JWW7soBnFHNvuzNN41itmtV1ybZGmPl1DPrXkiDox0PnnSkRfRApI4f6dbzWbzL6P/T+sRpuznAP+iG5wDQLg2Uqts7l94f9cM0ts+Cx8b/M80Jn3LJ6n1NZLW1tZnFBhhFS/tiMe5CASrpwa+6lKcAP2moZhD4zvjscwfDD/v1gAdSLnYRezkcIY7vsoMAV8DuflqJ83N1OvQBgNhJLasAelk5eFvUdNVjeF5V6GvVVll3/1JiG1beeV4boHXbHrirWBgj7gu9s4y2KgL/KJxPUL2+Y8icT0dKgOHef9fYeVJg1RAEpgG5IYQjEc6vzrHvz30W3krO7C9BgH6QK5fgUzL7aYBfC7Vg037dAbhd0qtgFJeo5RcBjK6ujk10jXfNOLvHs2lwNPCwyftz03q6bDY+utMPWp88zV6KC5oPuvFVAto9DOw4Q6AC39CNPd58dEyqZX9HXtb1A9IgY2hsicYyZmngK6U8ZVHMpNVybNWesiCm0OgHSnkVS3Ud4F86HJ5hCHumuSFJ24aFOCpnDwytkJ5OCm4QH67X4cik/a7Iw8Wc6DwJrnCpzRfd+Fl0NZkWYBku2JxzFRSc/XL7nnhdktdfsIJeIYLd1Qm7gVKhEpt44iNFXWiXJ0VuQen1D4qApGgx2CLsjfyz98UemvEUHt9t4OcA46S7gZKeMoAzVrMfM3lXaPaTavkWL+hFi/dDCwrTzq39vzTP2YBDbtyLc3oxLLGPOO5Q9o8x+LTlidO3kOW8hUBkDzeLiv59wU74xAzd2OHNR8c6az1X+Bp9RXHfApm6XsOWZSljVQz8NVHDTwH8P53Sb/+mRri/wq+VuJkXy3sUPqpzD8S4gdFX9m5/1mDA9QkHqFuWg8VEVBcIIdyb7RmbUCwfHqTpxdOhufhE8On2vTB2fXVxPm8vty6yONjl3KBn9xmMfM8zNtK4SBbgXpfwoA91HoCvEFTr/W7JkADauPat1+bBglUK3Y8M4Szn8SsBfsHR7Henli9n7QuPn8eCZuZ4H53ASgv85h9NGggWvV0er0FdDgIubXlyQj83uXfDfzm3V2eN9vdGF8/znkFkxhYtj4/5NA04hl+2+gcIBstka5bpCLy7wI+bsRc3UTephp+k0b9uQr/LNQ3snudqX0kry4Tr1zY43IOo1Fs88Izhfg06xHqDlQU4xrTonmAiTJ2IExdChLX2zja+6CfYaKNr7Nvb9cTYxNNby+knlsXtqo5TepNDNZ0HSe5TshG5TayXd6m/sw/3vFWZsWQP7ix/lUFZHC/41zx2WTngi/MId+pVOooraaGNtCIeFfgmASvkc31MXrRu/006qr/Lj6ZslTfzH0Wy+qH6XaTcx2B16xOn93QkuwfduBIBesZ5/FIPfQ/Ges1/YsKqNMA45YqufQGKUFPTuKL8OO3yqj0V+EldeeGJuonNOUoN/69n9PsnxrUpl/myKrX2PKEdY4uhGH6pKwg2p6U1uDqNa4YJmntkIcKqxKizJZ1iYhKdJWl03EQc4UkFHXS8pr/wQuD4LtX2ju9p58UvePaAPuiqOoNf/j9LaH8C/rSapQ+HEfLf6sANZ3uxrp7zvcNAj+YN4hOF0rBaBI+9ME8brAJfnGk6zX60lh8/cjso4qkW+FK9l8u1NQEYMOPs2lQx/q5HzmzKda1enhb4AJhb+NRptY7HP/DGAgEZzm0tI9lV7n3j9iwz/6YJqZoLhl/Z+X1iJtYpc/SleAcKzqKY6mRdR6cflOsmjdtak8D/2xn9PgCwk2oVv8IZ+4AwRS1veZl1NYOvTrf1vXKvLPYAALsTS30J4C/upL8TkSjrBEU/IRqtelrPM6ue1ftd1t4VVsDgqh2btF/HXYTXltAAIL4g4KWVuF5lERFWUOL40gGpjMlnDb7x9N/HN/71NNt7fQDfyey7yb2iCAVy9jQetS9fxviQyYLuNuh4st1iWy/kOt3267pUSfJB4ycZbe/wQsSjKyX5WDwj8dYnT9dkcs8k7q7OEcJ9xAwoE3n26NtHV9fjqgQhJ13e+T0AExpqG1dXO4AjCvzSi2dU4/H/dkY/0aacqeQ7hRNoKrX1Hni5KIXqdQNe3o9Z5WcAkXplQI+r39vA76AHLaIjwgan1PGDa9opLCOcOXeNEyKbvGNvHB93HVqW0hZdnH8SH9LE5DJcxxLfNOSzES9kcLd35vD7C3ZEQwj88IV5bOC6AX4nxrfnBvvyKx3I0d7V1sOAWrj1HOP5Sp41uY1YPfe1ZcvM8GdCTD/ixxHRan3yNN2h+gfc0IkItfKBkWG97f9d2ifneKsH6tOnT93zc05ItSDAmKs6v10sAmTrazuSgG/P1xNLYlvxVH9dAP+vp/dbgAhbVHIzwktGOUD0B1NIahvJbIeFKdJzu1RYMIZMDfZvAFgS5/EXddBUTjQyMN02sHS1m51XzidgiAJADC6a4bXaMrho597a7+OuwysraA8ocpHZV2J8dzHNcHVCztWT1yU8v9+uOTp5Ac+QhcuAsjQY/fuL//6H9sMNEfgAWUiU7TLAfEdXPcvqNO3MTCoBz/eGzq5dtmxZZxjopfDq4rtr4dOn10mPvxI42TF+uW4f9QHooaWP8YddXBiUMYrMqKnr3MCB/xAi/KAU8MMlOh9UzqdUz2U/zvZ/slPNnz6jim3CijXGYPemDPwnDvifdtDvifML7c8oG8Q3wciZd3Hr2/tZ+fDxEXH0zn3QW3NNPY+XF9PhxK2HvBKeZ8iC39954GKO73py71p5BsoHf/yYMXf/XrWC3fHiP9jILyPwi7nOukLR4LPOz8TOw0h6/gYdPKlnG+crI8APUf2IwIexVa1PntbL9fjXLwbAfjG4Lznho74mu8krD4+OeKNSYBl5dfsexFDLaHW5DZnqXz2+35kZHbxxz+p3iohR4mJqr3wXjr/l8tLB9eVFEk5lBPJ3xvDw3lkITMpxmBjSpx1k13LFv72x2oHmFsXQqMtgeZ7TX+3WlsGGPKo4hk645cB+GFu5eXkxjeGc3yyBGxUlJRzfvZh+stFdbNPdkZeTcLcL1u1DLbzO6r5jXn9Wm7UhAr/c7L2C1VmDX6yiOe1XDam0+rv96IZNuoq0KOypIx4/lAQghMULnzq9v+PxD7zhE6DKaK26H0TYsvWp01ONBh55VfuugBnNMIxiGPgbUnLvN8f3+8ZW/UHcDG9lUgdg4YScM6wm2GHmZull1lq87/4e7ZVX21PVON9dix7w4n518Ls4jy+ks/9tgxYOtIN9/BJz7+RxxU+RCQ5XEBxDoxzf2dc/duvH9k8y5C8tsqYR0YgAgCNae+f6qN87XMGQhktVGHp/C4Ff/Z7uPts/WqbtsORNWLlugF9Za26lyb1iUQSuZE07KxthdaUc6G6HT94ylzM/Dm9TbhQXAXyy8OnTt3KAv//17wHitvIBVtfbjnngPJFPBtn2bzw14d1SJxh+75Sr8zsSx0xt1jA35HJeXWc/uuQs+KvGwJ5DrpaYwh4ouHqMbxi8B15SfEWh5ucBgmU2tZ7v3A98vX897BEHfPG3j9roJ0R0u1/S8w2AD7iQ5w3kAdQmmWCvPGjsh7v3xlgNARGx+Yvoc05kM0V/8m6owy6yFp/s1Xe+kTQ4qvrPnvwX11MQVw2x6KK5z+l/SlpWqzutueuinNeVL+o1jAo3/yob2xeRhK1dDpy0XYH4O1EBj8OeBIbjX/Re69NnbOdQ/f1v+A8i7OLdiRLZPfVAzGB7tzx+2ktpgD/6avomp0K9kcnwiubpJyybJafvrC0BjwD+KUNhk123BjH6eLNgvC4fWgfkXpba9qTS+weNRWDBSfu59rPYviFR59hJfTtBjca2aaqBiHUXVFx4/Q9W08MAdKhMKHogUkuIyvEcKh1z/OD69lP32ERLnCc4/3P6rknW84Hv7ybuHBVeUJ8f6c6T1y1uWe1QstChs0HjYu+P04IlS/R9nm2BzjDw45R7Yh8bkoAnxwCxUGCsJtMx5Qx8Lw2OhGSXTHqxHPDD7wPgGwvnnb6rS/Vv/Adx/kNx4HJrcQWadFA7bMHT4yPxZ6kvMOwK2ibDoIchphBxoO4q90TrSsEQXXpAYjGNNabVd6frXjsB9uzZCI9xTjXeA6jSfZcOeLVsl0ZLzXk4Ux1Onvm986rizr+CNoQIL9ysAS5I8vrvE/Wi1fACkViE1O9g88Gnrnob6qDzko5+uQwAX6jri/vtgJhPupcvfG7dAgSjwxWNyPEDiT37CXOFO77H97QFMscQWporrBNwwhW2Ipdj+z70b7ABUwnwy62qU1arv4Yluw7wgRUysHrWz/DDNMAfeMANh1pEj5RT3YTfB8aeaX3qtP1cqn/DXAI6rpIDB4DPcNiCp05LNYhj/DVdW3daWlNWN6xUkt310KQj5+lfOhwOaayDO7hFWdtTxlD22MRWYLS1ktl2EyXB2rQLhIjQRxyRtbMG+OamAEuTwP9uF20NeZrHCbaNGBPhyd08g5o4U5OUEsCiG48Ad92jHyaulfDiEhpgWfTmFxUFzVPhyVhDYUD+/oOlQi+JGQNw27OH8ih27kLmScT+EVYWC9qRzzwO80uO3wototlt4K/hJh0h2c2bRa1Os1bcdGbtR5XgT24z8IDrh1kEM8sCP9SmCwR3t847fYgE/mSA9KO3kOHPW586/a9pTvi0q2iLHEI/0MHKEpRp0slSuB9fcwdtdkGXXefXK5mwW2VbrrqQxqXD4eD6GpjNCbJ+vO/Hs9IYxIpT1Cy6+9R7MXF4qWl7qSl/IQz/WHj1Vo0QUdCpqxQL8Fs5mkdE24a79FxiElju2quX2x1y8kUPfmsT/ahS9/SFz6w7OMEJkUSbslSWX+KLH6Sp5kwCYZQ6dswLF5SEKgjQ05HPPK7b5a81Bvz10JabR9DABK2GYMmNZ2GqJPnAA2/8Oef8unJ1/FBSX8i3b26dd/o4J8bf74ZLEelcSQ3VED/qYdRuPZzYOu/0VEMqxl5D/fO8uJWhG0UDoPj/7X0HmBXV2f97zsy9dyuwCywdC7IgdhdFBBUb9lj4r4kmtphopKn54pfENEwx8TOJBdBoTIwxGoWASYw1UcGCoix2hcVKr9vbvXfmnL/vOXPunCm37i6gYR4e9s7MmXZmfm8vu3shjuI+UmEtrQB+/amC80vwp7iSK0angJTSn8NjzCVX0zm8L8pNWca9akOcGGTSyBJYmY7r4/YPG/hIi8ASxpgAvyBEKvbeUw8gzfUBfl8zyAiN1MMjXt7ETyPAH7MZE9RJRdV5CYu6btCOoOYoLCnIK4E4YHe+bGd8k82N05Y88cHroQU3P2eFODAfP2klI0Yssf5PM8o258NAx55w5xzG+E+CwHaraIWdjwPctGbJ9O/JWP3j7/xfxrhsn+uL1MtEUQghd61+7qq8Mtiu+iWvaCtuqQbG7SIo7vw8lN5SwIf1AD+6Ek4qisJCxnlM6fGqaIbLAXWd2mtI07mbDpZwDohIJfhPdb1dX0xhfFUpbM0G/gTwJYwh53eurxvcMlTfIZTW1VTR8WEfzfJtvJpZ/FXGWN+UVyLEfZcKsVUPmCJg3rJgfinETc31ZhCKcYQ0MUZPf+t1qPOX2E5n0c9Ucw/PuatLbyUMq4hxyyzr7FN/5/dJXnX1x0y583eM8yuz4dUlA/KNfVbV+39XL51+swD+2BPuvJTZXERn5eAHdIP7CDxZv2T6aflQqotu5qUEWg+OMG7TSFF7NuDr5bVlld1ge+ydUWwTOT4Cv28F8Bnnw8nFCH6GOr8glyk/vj/kNMXdNUu1B/Ca5CA5tOMVcHzyUgpTUW/CvbdsVD9yPGCKo7boIr/i/F1civ1hEYbqvnR7hfIKAOEXHDHYfEg//4oG3jfeyZZz4GPk9vBsQv1e/S45nbipOfD796XdQ49JEBdrSiSN0997W3Z7KrSpRqbmmd5uOjun2CYDuzRpWwaH8rfuv46krZ4chq8xU+54gnM4NRte/cdSyX4X2QAAIABJREFUg1y26tmr/uRk5915ArPZM/J1uqW1cgD0+/VLp4/LYVxqyJQ5z5nD+tZMIAx4MYk1f57KayvgY9rezdPg5FiRBL9fn1UGLwUCCV5Je/XfHi7vd2Hp+rKKulNoIWTxqL7wFewtmQn87zbwkbbNlwBI8KcIjnY/Dt1x70/KjljH6JfcpA9ELGhMEKzpx1AiHONKLHJgaECSFFTcar5OHISX4Mn7CcQt+CUI5PTcOO2hB2Clv40WHv95Lq/dmrD7GjGLJIaVv7LwfGLng6PqKfPfx4rKwQo8bixf2PmoQU5c/exVzwrgi2AA2xY539lK93hPRjrWPD+9NJ8bxrEX3NIyEWwwMDWXEWC51tXXO+nkm5oLra1Yd41HEuU5dsoNb6iB99+I3B8AfjUNTi6K+cCfVozWgKes+mjIC81Hl7K97kHwBLgIlYwuHt0vN/BbdpDzSwKkBQ95auJ7G2K4LjotNiGsiYa/P58OeC34xt/jL8xLIrk+bYpzetqzz0Ld0ArpzM+5kw4ApIJ3cqi+k4y2kp3ZUIOiRb+9tcIuBuuv1/bJKzMP52H0cfM7AKA4G6P2+/FjpimC7sRkjqtdELW2bscsO+oHcbYAASDGwPolVwbcTJmIwSW/bq9hLFEWKerXxAGSCviflxZaCvjlrcB/cClMjUVhoY2cP/WhS+DoCSZ+biu4nWK3PheWkgqkYU5LqtEKZsgxZPHYSpIT509a6OqTOr9e4y9V9067F+Xy8xAGzY3pJ0L6Of1cXdkn3LnxXd+XoajNYQr0mVpl4/jPYwstgoU229r6RaO07b7vlOaVoINx+l1xjNOXxFuPtM1SZ5+ZVQOK31t4fiIV11d97PwNHGT5LX3JFtATMcyj3nvuyrxKA3/jpvj+CWCDzYjRGjEjHbkF8exeTTNR3Efg41x972swNVYMCznnMV2fDoDA4/93Yvw10TaYwSYNc4pI+FUFJ6Bo8f4h4MdjdL0fxf7OBFsCIP38HpdhwEPhrRSEuz22C098gpZcFOI1UHMgiY0enuyWEPdzfKJxejzKC/wvRtPMpJUssZJ2eRTo5nu+m1+47ujj75pAmP1KGPAzMVxCyIb6pdOHi29DDRxz3J3LOPCJAQricLHUQJ8ZkXBy+ernr/pjpgv691348869SAT2M6K8o9goblbAz6W2fldXF7gGvvybarRCK0QSnEeL+vBcSnBh6G66Ntn4XC747amRYkPq/I4oLw11bg07D3A90X/KdaWkAPlqhJVbB1mgLp2yG5DFB/QPcn4174oArGjgI3mCL+FC59d8477fHhuFX3VRkYE+m0FKHQhRdVxgu3aO0CAdec6mBBhCvFf3r4D/RWqT3Wlbfe1EvIQnjQ8e/GFxXlF7Y4674zLOucBciJ8+pa4HmDiQl1Y/f9VkL/CPnf8XDvBVf5pfQOf3nc0g5Lerlk4PLc2UjhhcfGNLf4vy8ZSzeHGsZFthln2nc67TMVfG7GMlHuCJaAk3k8Cx6GZB/fM+09+LunBOs+v5CvgAH8B3L93vZNOEv/GUtd/rvvIG+Xgz8YQLzKHDKY6sW/RDw1h1gyFZfPDA9OBXEgCC346zJVxxfvHl6OqEL41YeRR81xdSiCcXQL7tcLekjwA6hMaVIlKJJWlBj+cuVL/HY9Nb9HPpm9chquuGV97pInYy//ZZ8WRHVZyRSIzTuj9f3werPeW8VB93x2+AA3a4DvHCef34PsLwwJrnZ3zNA/zqY+74Pgd+Y7aSe36/IQHy9Ornp5+S810DQO0cHqVFjSdSznlZrGydAL4RzalxZncNfJGict6Vc5ltAGylpUfw6W49XdxH4PcfvB+/7CSYGonB3xhjws8vAOLR5d3XJfc5gNFcdik3mNiVvjuNXkZLWu354kMGGgGd3/9u6hphhBVXBj/XiBjmeQgm4biuRXFFTxadQ7wcKSeckMmPFQuPysCiFMFrSiaN01ZtgRUb611JNJN+H+a/F8k5+bTITlNWG5/NigPBLjpRJ0bfSnaSkmKngUaaWnt637zwyjsJgtvb4m0jGCGEdVU8s3BOeNOSdJiqPm7+05zByWH7A6q5U2xVzDIhP6hfOv1GD/DHHjf/LMbhn9kAHAjoAdhY/8KMnEpU6ee++KbG4y2bFxeXVWxiAPEwy34cy28hUUhTgitTY40OaAfJ9Us5NtbAepWRWJmQAPw99JqaAKIlwD2lttM0z0wPfHw6Cf6LThIGv79xxkRsfwr8qme8ZkFXcQDKkCeSetKm77qJNNLf7XMRikuRxWwg+UqNz9UXAP8mGJEA5hj8vBzf41tXAUBOBCDTO/N4ru/1vUvOH1QndIOlun/U6ZNJetqqBbACjsMPKgh8ndvjsxTaM8/fLDPVOsvpmQdQBpiOi4000rXOAiiGXKrrxiAG2FXH9rXIpgCxzrbGIaZBOv/83YrnsmHOv7/62Ds2AudDHL7gYfGZAu4ogS+tWjpD9Ipwdfxjf78P54mP/DqD/6KBbB80TxbH+r/71Dca8nmAC3/ReCg3+Iii4qIdUVLclNXAZ8Y4RbHeqcIL0AUYt5+M5KrnA2BXHbfwZhY9v0BxH4GP84Dgj0QU+OVU69ZyPerP4y7TRG+VOhvw/wf0a53zisy1xbwqN/B3crYEMLFHFbR0vqaUodGns3uklEBCUTD4xo1l8AY5SblHcP0mCzl9BtDj2N4R81tI5sCddhJNEAIlJWAlgMguuZ1Ol1wi2mYBFIG3dVZc7M/UQSfBrX5dna39iU3WPfiD/Lrkjj3xvv52onW7yrf3Az0TXgmJ7rv6+W9+7AE+5nWPPe6OVsahVIFbDVDEQL6sYICAAfTUVS9clVd67ld+vmMEB3p4JEI6Sov7bsjFwAfxOGCp7XQRfK6eX8LTldrO35+fj7gP0H+wtPS/+x7Ar66Fkynhiz4LhhGuPi8ndYx3qTRahzikqvHKV5ji6nr/u5R64Ia2+q30hJKbxlfR72cjxi9ughHcZksYOIk9aVWONOG2WjxA6n6daKEU4XKKQujExOE5TZblgB4PTsPtJfCzW/MLEfNz89+HVdYNtseGmCys6QV+nJgGIcwCAtEoJpaR9s7mYSzJSxiwlQ/9sH+gzkKmdzb22PlTGXdLsQWNe34dX/ZVAAJtq5dO76MMvZ4yHdXHzH8VAI7QK3hk8xPifoOSG1Y9P2NOto9M3z9rFo9tG9R6umEkoMiMrWGxKPN3zUUOrwx/euhuLnp+WG6+EPcDnXOldT9Ty2xl5MvFuq/EfQX+X1wLJ5vAF6GrzxvbrwHd4bKhIrZeWjplPNMMgRrXTakLQN7gJeSkI8shJykMwc9stsTWsvp0ouNRKcKA7rzYoN9fI0yCWLlqDyGkCcA49Z0HHet9RtB/QPxJOYVU3ME7CI3P72oVnF8X8wFKIV33nHS19EP1e8sFPh5H4wnaZcVHW9wgVZv6PTZ3bvqaB2F4qp48/yefmUfmpNIss5TV1ST05fUvzDhKndMH/Hm/5xy+4b2gV7gPuw4h5KnVz08/NR/g49gLfrbjVJtAaVlJ+afcjHQUqueHpehCRwckopybyVLNuu/q+Tm59XRxv3yg18jXLjk7xu57jXxerl8xBPh3amGqYcAiZfBLASRVYFMVz9C4vC9dV0gMKf06mA6szklIfqBX7wzBb1mS83sNdu5b9TT3dNyNkrmHeAWUp0CE7zqAF3UHhYjfTME4JQX6Qrk9ALSXSmricnu3Oy5uzz0+v42UQRkkhX6PRj2fmC+aZUgx39MhN00TjXT6PbGSJW0drXuBDW0LftI/LykZn2f0MfOfIgBTVc2FbHE2aj816D2rl07/Zijwxxw7/3LG4J5MdfX9EoDDrJrqn59R6U8UyUYIan/dVEPi9qiSaHRrLFa2NZ+W2UF/fjEXxj4LAdmBIpfHrYf3onfPzTV8F3I08uH5ddee0vVR5EfwX1MLUyNUA78Oeu23p2yWYLsO13QmM6zctIoVIITmxen97wfB35VEnZ/vI3vfaYQoxdXd+3EkeseFJ4VOvR6BjEPQa+wJO4cAPXsDVrz3niMC9BC392fjZSu8kV3Ml248gBKQ+j2K8Z0kkpT6PbrxioqKIJ/W2PF4V1VHoqOKx4wPF36nX14Re3PmcPrgM3c2cM76CvE9zJ3nK7yhSe9XfGaE/30o8Mcdf/cByWTinYzFNn1JPCk/P4Vxa56fkVfBwIt+0jAyYcDRlEJ7nz4VH2bLzQ9m6hVxaeCTln8EflgNPkALv27dTyPuZ7Lu5+vT9wMfJxzBbxAU+yEWFvYa5k5TmWp6/rrg/qlwXidsE+gbUJa7eJ+OKP8Hdf4kW8IxpVdrfOlKKYoYhEsdfqOlJ+yYkGY7aZxivKuBPiu3D4r5oSG6emx+23YCAwZk5PYpa343xHw72UVME0TLLF3Mdw17XjE/ClFoaWkdxZhVGrVh2f03VOZVdWf/KXceaNvs7YyqeCDJThJkM8IPfO+5me+GAl9SlDsaOOeym2YOkUEK+AAwo/7FGenaOYd+Z+PmvBs9yKyqRQ9WSUnxO8SM2Jn8+dhdJ6yXHgI+d3Hfb93PNWlHGvlgC0Ahuj5yfZyEWefBVNPgi2RWn5zg8B5xPnedFhyjW8rFO+LwBimjOev02SQxBD9LSFef36OQcjcqEd4J55WAdyMQ/V4CINBsg3GK8QaI4qy9xe3x3F05JuWUQ7kQ7ZNxfxpuYWI+ds1BVSCd/55bSaOjo/NAAkCZtXXhwjkHJLK9C33/mGPmXcW4t2V6MDtPGvPku3A+Gkqav3ri9Mo5c0iq0JJHx8dxoyfPe5oAnKzEuECiv8+qrywAlJB/rH5hxjn5PAiO/covGs4gABWRaNGHRqy4GfV8SCRAltzi3NtE01uKyyvuF/m4fuZ+emjdF8E8RZ/FQLW0AIbwdsaBoz8f7yvMp5+J64fp+srQp8R9NTcIfqXz6/p0qky3zs1Tln0FKj3CT5yxR0Gv7hHBb2GEH+f7+CPsBMhTNghNxNcz/LzRgM1xyzil6N3MoMdrh4Xn4naP396v22fh9ng8+u+LY0ASXS1E5/ZQXg4I/PBS2pmt+fmI+dgksyve2dfu7BpFDWh86AeVj+WLlTHHzH+Ec+7BWMCd5/O3CyJA+FNrXpjpscEFgX/M/J9+Vh3nRymRwF+sz+fQ0y7cMixyQP8lS44PNPLL9IBf/un2IywLxsWK6LbysopPsrn1crHupyrvRmX1XT2YR4bw+o18kuvrsfsK/A3QALHSSt5Tur6ai5m1cDK1+WIGMqsvrO2VJ57dod56LAAB+kYnkJOX3i2t9z/5SSrlP99vKnT8fz6CEXEiwa+YhwrJdYNzvARJcXql7xNCBOgffRdW1OqcHk+4E3X7fv0A4p0IfH+Irm7UCw/awa6SUr8P74ybTcxXbrzWtpa9k4lkFaXw7sM/HpBXr7wpU54zNyTfxdBe7J6cWrJX4BHJWnPqX5zhKZEXAP7+k353sk2spxXHz/YF6QSGUGPy6heuwjr0OS8Xfq+pIl6SOJcY1OobLV/JMNhJ1NKPcssAbjDk/NKtF2ikqVXexYAefzBPLkY+xfWjCWF3gs543/y5vladx2/h97v3lMiPEzSzFk4Cmz/MOC9X4NfFZbnNTc1VoMPthNDlnZycqUDvn/CeIgKPvw8jWRF7ijEminDoSUO6IVI37KXuk5AtCcs4O8Dp8wB9gNv76+rlzO2bCUBfSGhFNdNze79Rzw3awYAdNOzJoB1vS+zQBplWQhAMGgfanGg9nNvMjHVEH3nwV/3yKrVVPWX+ZLD4C5ki88JAh+NN05z6/tJv/dtDMPyDp0y5t2ij1dEIHOvIh2X/pE8CIITcUP9ifv58vMa0GzZOI5xWRItK62MlZdvTi/sxGb4r1AD8BLvQouqU4wpL2ilOW29fD+FN59rLl+vj+EwiP+73i/1XngP7Y5AP52y/VGy7Eu/1kFfNX/9Zau19XXH6raX3QV46Ys7U2Ddw/HnQl5XaDzAOp6lQXG+DEL3FtYxQJMBfbU+Y/6/sfRB991I6fXdAj8dqwO/TAiQXS77L7f2Rem0F+O7dpBwkAhiS6wbtxAVBQOMeM4jYjtwexfx4R9uARKKr2iCs4eEfDVqc77sYM3nezxjnP8y34g4hEC+viFTWPXolFu5wJYWwGxg9ad7TADIJwB+iG3Dn6bIGIXVrXpwRWqgx04NeOGf9oUkaO9KMRHb0Ke37fqHifrrY/XCfvjTy6bq+4vqx4r481MKfya/v4/r4vK57z+vbx3065z/rLIgMM+BbDPh3uBOD7cnQc7P0Xkgw4ydLhsFSz3zmVec430/OHX/whfY5hPLrbQY1cqsbf6Bx+Y8ByK+oRf8E74IoJ5UN9DgGy2rh4o/Qw22Zk3Fy8dun5/ZlWLwwi+8+U2x+rmJ+S3vz/lYy2T8GbPlffjzozXzfQvWkea9xgPEBPPojaX0iAaH0P/Uvzggk9AREfbyhMcfMu47Z/P/ku/WW3c1GCIyouc+qJVehxJvzctYVG0tiw4yLsDtlcXHpclIUSYRZ9z1JOxlj96VPXw/hTRvJ5yTuSK6f3sKPD9NeCildP9TQlxH8MoEHz+Pn+rhtaDXwIfVADjoFjjAi7BhOAP0A5QxgKwP+YTsYT93zkuSe+nJAbYhe39OEwNfDZ9xaGAtdbDLn7AAgtAQYjzOTfJi06QuPvgWvoy4fADxu8On0uClbdZ20oM9XxA/R7dNH6vmNeq7vPlNsfnjQToLwrmS0rbN9ApLB+Gb7/kfvHurhvtmAMm7SXSOTPCFy9nMN2FGx/BTIdatemvFr/zVCgX/A5N8dkuSWaNsbGrCjnSVQ6ofT/6lfNv232R7Gv7/2Z5u/ZNvm8EjM/KCktO/6oLgf40kbhJUfxf10Rr7ucn1l4Q8r0pHN0IfPVOqL6MNtmQJ79HlA8It1Lz+HcePk9oVZJjWUCOjHZCMIgSZd3gu+u9CNlw+7lUyAx/F61l1eoNes+HhcJhEf98fRet8BRBfxwyz5vcXt/WJ+R3v78GS8az/D4OsX/mhg1gxY/9xWT77j25zZvwkHvsubxX5NPcd1avKDVz0/K9CJNxT4mLBTPWneJgDUoMJohZu2E9KPe1n9spmT8gX+tBu3j4UEnGQQaO1bXr4irDiHHrvv8emHGvl6keunRP70vn18/lz0fRyni/24LgiAD/y4XRGAXIiAmv+sxCDNi8oGcnWYAjuue0R6NSANl8fdrnjvBungdr/rLp1ej2PRZ49/9dBcXJfuO0fE7wFun86oF/Dd+2LzUc9vamk+wmZQTorovxddP2BVvtgYPWneMsJhIh6XrTCOzogJwMbVL80MTZkPBT5eYMzR8/7IAS7z32TWCwPlhmEOe/+FK5Fw5LzULuAGe2frFcBItLSy7GXDLG5LX4TTNfJ5M/ZkJF+uXF9whyRwv64fxvVxLPr2/VxfiPz+OH5H5O82+PEEWQhAPkQg55eRZaAO9kyAx31hXL5Q0Afi8Z0IvbDQ3Gzc3uu3Dw/Y8ev2eqSeNxPPa9TDCD1GgaBRj1qdZTuaWiYaQBL0wKV3Lzz//LzKaB885ffDuxKJtRw7BoYsmQJ4CCF/qn9pZgDDeJq0wB999B1nALf/5b9WliqeQjWg1Lh29UvTb833Q6uds/VUZvNxNGZ8XNmn/+owI19Pc/1MpbkE2IshYOgLBb/TXVdvuYV1+HMBP44J0/txezrxX82tLgX0JhHICex4A8fJO/MDHrfp+jyuZyyugQNycN0p0Asi7hPxcVvQb69H6bUTbxZeuG5fCLdXvvuGlh1jrC6+N5j8/UfmVD2ZLybGTJp3DWP8FnVcNh1fl/UNSr+06kVZeCOA43Q3giW3k+u3bCME+ihDIY7NJVIICLxV/9LMQ/J9yLN/sGEEpfTLlJNk34qyJTwSSepGPkjIijxS10/n2suF67s1+cQH46vQk4uhT4Ff1ubDJaQ+n8b59ZLc7ry4Br9M4M+FAOAYPxHwz382G4Ef3P7jQ0V5NSgD4HMFPY5TcfiZQI/j9LBcBXoB9BxFfBzrltbqcIttOFl46bh9JhceRGNg2kAkt08QkkxGmps7pjBuRxhjD//jF8Pyyr3He6w+ev5Kztlhyljnd7AH/fqp+oUto/ruW/XEE6eHtjpPy/HxomMmzXuAMX6hJ1vPZzwIK8yBx5omqXn/hZmBBo/ZiMF5P9hyEVA2JBYrfb9Pn/IPgxl7GYx8WXV9168vo/n0lN2gey+TyI/PIaz8Ifo+FjwP4/zh4MczeC3+AgBObL9/vlISAO4IUQPC5jcbQcgL4PpgB+y4KYzDK8Dj33T6PO7zd7wNA73y1yvQ498wvT6biO836JVAqaiuI4tp6jX1pCU/jNunc+HpRj0suIEJOfHO1v0BzE2LfzHo/mzfvn//uIl3HpYEK28MifMQ8sCaZTNFYc2wJSPwR0+afx4wtkg/MFuIYMqqSMjc+mUzZ+f7sNN+uG60xWPTqMHi5eVlzxixiOWP5EPDnmvhl/H7WXX9SHFoym4gc8/n3gOQcfxh4bwp8Dupu7iuEnnSgV8Z/HCs7ufXwY/7UPTPRABwXyFEIN/3ERifA9jDAI/bwkR73J5y2eFKiHjvAX1I5h0eFrDiQx/AtFs3EScYrCMLaWpRelm4PWbhubp9PFVeSxj4VF09J1LPjifN9pb2kxjjUUqSixb9fMSafOd+7KR58xjjM/Tjslfckfr7Z3UZzlm9bOY/CgJ+zVl3lbRtT2xlIMtx4RLg8GliCAmhO8zhVUOxa0e+D3zej7Z9w2Z2VUlx9O2iPhUf5uXac7i+W5PPTd7RY/j9QT14j9lE/rDAnnTGPsziKwT8eB/K358rAQgQATXhOUoEad+PBnI1Jh1nV/tRj8ffisO7gMdf+6Uupbh8bqB3gnR8xjzxzhy9Hn/nYsXHcekKbXhj8mVpLddvL8Nzc+H2IiGnpXFUV0fXwUDp1kd+PjiVB58rFkQEbaJ9I2esIhVLgwdnyZqTNU9I69BYadWSJZd1FQR8PKh64tz7OOcXKztgrtl68vrk4vplM/MWcab9dNMBdgLOo2B2VPTt81RY/H4mrq+X5vKk7EaKA0E9wQSe9CJ/ulj+ngU/TpxX98+HAOgv2iMR5PrFaeOygVw/ZRjgXdC7gMdtPQl6PJ9Xrw/PvnNFfC0RR4j4ukEvc4WdXLk9xuU3NrecwhgrMQy2eNHPhqTy4HN9DWMnz72Q2fBArhxepU8LiTuLmC+gme1Gxkyafzxn7NlcS/3oIQSEkLfrX555cLZr+PdjHMG5P9w8Awj0j8VidSV9Kz4K4/rhFn7ZastN2fXG8Ae5vjT0KZFft/KHpe7uTPDjvOjcXycA+DudHSDf+S50vAK7n8On4/K7A+jRiq9E/FT13CSQYAaejMlPpd4K/zzixZdzb8UDcfkdbY37xjviNcBhxyM/Hzw/38pUOE+jJ85dBpxPDAma9wTphlv56Un1L88U3a8L5vgIwjET537EgaBUFliyxQ6bBjnj/ZdmPp7vxzXtR1sPs237XGKYLZV9+jzp5/phFv500Xxu5p4e1FPMMYw3Z5G/qDyVt59O3y+U8+PcqBhnr96vZi0oAewqIpAJ7Ok4vB/wuN7c6DCdtDp9ZvFecXq/MS/ZFa7X4/gwET+jQU+rp+cV8V2/fcqSr2XhNbS0nMosVm6a5O+Lflb1er7f/rjJ8yYkLSZ64/mBH8Sbt/AGAfrJ6pdn7JuN2GTl+Hjp6qPmYjBnaBXdbAE9QMjSNS/PmpLvwwuu/6Ot37ZZsqK4rHxZaVmfTxTX13vsBVJ2nRh+N3MvxL2XVuSXVn6818z6vte/j+NV4Y4g+MMNfniMas6Bv3WjH66nIwC4zy8FqLlVBkF9rguVCnSAq/Ppert+DWm0w8Ur0uuAx9/p9HncJ4Jz8IfeBSeNTu8HvVjPEJ2ng9614ntF/OzuO1kv35N6q0XpqSy89raWveNt7UdTYjQt/nnVb7IBMAwX1UfNfQgAvoz7suEr0CabkJ/Uvzzzp9nwlhPwx065c2+70/pIVE70LZla9kh6hTW9+YT6l2dj6e68lnN/tGUis+wvEUJb+g2o+BcxIVWay9tSOxYew5+DoU/m7Lt1+DOJ/F7/fn7gD/Pzh4Eft+kZTpkIQCYikIkY5PIS0oFcHeuCPTfA46gwLq+DXvWzx21dhYK+q5WoPHtdr3dFfKnXiwKaARE/V4OetOij+86N0ksQboHRvKP5DJuzPoZBHn3kZ4Py7nuPCTmWHf8Q0+gVfrTydiG98mSZLaf4JotG6d7vPD8ja7xATsDHG6ieOPffnPOTAh9NOke+M1AYA4EsWvPKrP+Xywenj6mtXWDERx/3bc5Y/6Ko8XrlgIFvp4vmczP3vO493dCXXeTPru93G/zlAz11+9Tz+rl/bgRAHf1BatrSSQP5zr1/fDagq/HKcKfWM3F5HOMm3EjRvndB7wbq5Cri+w16qQw8H7dHv31D47aDEnH7MA50R2zN0t8uXJhfeK7A2VHzfg3A/0fZ1ALvLaNuTZ5as3xWTmXucwb+2KPmn8XA/mfWlj3h5X2ZwSNj31/+rbx9mdPmfDzW6iy6HCi3BvTr9wgrljH83rp83qAeN4FHN/S5In+qMGdK5Jf6vlumyy/yh1n6AbBcFxr7dDcfvqiA2K8F+ajYfr+7z8/9cR3F//wIQJAQ6B9ONqLgBbd+ZFCE93+QOuCVMSjF4XGwpsvrXF6K9hronaQbfyguHuP66t3kGyxEVYRivsbpxTuISBuC0uuFiI9BOmjJTwXqBK34GI+fzqCnV8/1Z+DRzs6y7S1N54JFTLO46w+L5uyTdzJO9ZS7BpB48mPGWJnbIks0u3T6EGZOyyWUnlf/8sxHciHyOQMfK/A+8OTcegJkVObyvuEVegDI3fXLZ12Zy035x5x1/dZLCbOGTysQAAAgAElEQVQPpJSsGzR40L89ZbiNqCjP5br3ZCivx9DnEfldKz8AttbWA3tKBAHQo/rwXnR932vpzw5+PF5F+Km6fbgtLNAnjPunIwC4PVwNKGSGCzsmjLvjmTIBPgh6CVAl2gsC2O56m9BPnzvo3SCdAOgd151bI7+ToF7v1tHryuKzlwY9N1gnIdpi4fEo7m/dtu0kO2HtxQ3z7UdvrPpTITM6+qjbfwUcvpvp2HQMH4B8dOFpM0frlXSznSfnexwzYe7VDLgn+SabVd+N5IN4lBfv9c7yb2JcS17LOXMa+7Gurus5tyMlfUqeLimv+DSTe0/W5ssm8gcDe5S+Xxj40+v8+LBhRr9M3F8AQIv1VxMWJgWofb1NCPxAx+uGcnfc4ePwQcBnFu0FwQ2A3iECXUCCnD5H0Ifo9amwXM2Kr4v4foNeIN++tXGv9taOUygYCVpUdOPf51Q05fWBo4g/5a4B0BlH806pm/SeR+k7AleveWX27bleN2eOjyecMOH2Po0E1nPGy0UEUWhpLm9hAD1biFDyq/qXZ2Vt5Bh28+f+74aTLUrOxPiPgf36LOQlbgKPa+hLL/KHWfmlyC9dfMq/rwp0mtGSAjh/EPz4LGGiv8v9ZVqvCPMDb7SfmgdBAHBxsv38RADXs5U8ypUohIFbfx+6T9fD2R2w45925apzDkxZ7HFdE+11Lh8m2uNwPRRXrOcNem9Iruuv7/S0wlIptyIJx+ez94v4ukGPdCQjO5paahmDchP4vx75v2Geopa5AnHMUXNv4pz/b7YkuPAsOWiOlBjD31syoy3X6+UFfDzpmAnzbuPAZrtVeH3WvUylugh0mkZs7HsvXZlXBxG8LqoaK+ObrmeWPThSXFJXNaByucfQl6PILwN7/Pp+Ov++19gnuJCWyafEfr/BTwX54Hh/nf4U58edWoy/zv3TEQDcno4I4D4lDaiXn40YZPtI/IEbAaBnADvuSgd43JcN9Ah4HKfCcBXoU/H3KZ3ez+llqq0/SMdvzNP737l6fVhYbriIr9Jut25tmGAnu2ooJZsPjQ25MVdRW5/7Ayf8flCCd6IlvzRbLoy/xI6MkKW/qX9l5neyvU99f97AF+6GZPwDIBAJu1CwVJdXGSAAC+pfnS18lPku0364dXQ8bl2LSY/9Kvv+NVJS3pTOt69b+TPp+56iHT5jnwzuyQ/8KqknE/jxubtLALIRAX1u/QQh27yHAlw/aLhc8XN2NaQQwAuiqon2OuhFEww96aZg0Eu9PoqlsbFOvplJr5cuu3RWfIzHT3a09mtqbL4QGKGxWPSWRT+vytt4jc9ZPeH2e4HDpfg7q98+2OfCMs2iUfky07yBL2907t2cM6fzZgDYqUSesAdBfyM1YMqql2cXlEJyzvc3XG7b/EhqGBsGVFYuFhF9RpRTBjxM5E/V4jdjqQw+5eLzJ/IoY1+q/14qsi8P8GsRfmEWf5yTzKK/go+jAuCqk/AjwNAnfdOMlDSAA31qQTawp93vgDwT0HEfgh3/qiAc/K1b63E9G5fHMUHLvYy9T0XkdRP00pin+esDer0bqJNJxMd4/O0NDedZFh9KTf7ao78c9odC5njs0fMmMou/xFMxMl4JOms5bcLvXbP86q/ne+2CgD/myLn7AOH1nIMZLLftS9j33ZET0PPWISOHHF6In/NL/7utnJPOGzg3yqKxolcHDqxc5hf53XBeN7BHuPi0qL6gf18a+/IHv9fVJ8R+D/hdvR+nwi/6Z+b+uHebmEG/HSAbEdCn3UMQcvhC0nFy/6EesDuol2DHRfrkMwEe9/m5vArBFUTAaXcVBL0kMq7LLpt4r1vwJZcXTTEc0LvFNeKpWHwJesn1ZViutOIrEX/btu1HJ7oSEwjYrVZXfM4Tc0e35DC1niHCU/bY3BWEwGEpv31IEUs3bNebHksIWDwaGbPmxekf5XvtgoCPFxkzYe4fOeeX+UWTrBTKsV4QQmbUL5+VV5NN9XDTfrTpgM5O61oCBpSWmYtLKweGhvOmd/HFtGYcUt+XwT25gh/AG9rrgB8AMMlHfOyiJx/+kvn82bh/GAHAbUVlA1Tilazyg4ZAXDTfiPqZSRrI98MIGx8AugN2/BPK3XHHgAHiVLrxTge8AHiqIq7yz0vRXlnucQzWvhd/437QO/56J7deJd7ovnrXbeeC3m/MC4vFF667sLDchm17t3dY56FgXlRGb1n04/yz7/BZqifMnc4Zm6/PdS6l7VJ+fUL+uObV2ZcX8m4LBv4BE+fvl7DtVcA5lsPPeyEEGiJG6eh3X/6G6PuW73LG99bXgg2nAyEd/ftX3GcUG20o8vsDezCWX+r74f593diXK/hFWK9TvQfvW2X0qe48fqOfC/5w7o/nUOJ/gADgBo8RUM2UJgmkIQT+Oc1GGBSw/cd5Si07K2GcHY/TxflcAI9jAlw+gz6vwnDxOBWcI+rmJcKi8sI5fTZjnq7Xe113CWK32GWNLY2XMM5LCDEe+9f/Dflbvt+uAD267zri9ZhkmSkuJnBuR7MmFCzCafXqV2d9XMj1CwY+Xmz0Ebf9EXyVeP1+fX/hAF01IAB31L92tafCSK4PMWfOHLqi/evXM05HU4OuHTKo/0NuSe6oR9/3JvJI8T8ej2PNcW6aRU4Kb36cPy/wC9FfBfvgE7rRfrimxP8wAiC2YdNOtYQSAdwpCQEuKalAbcg3csJXVN0FOZ7QFeHV6cPAjvsqoTJ1T0qkxw3KYi8BL7m82O646tLp870Leinmp1pcO+m2wnXnZN7hvk1bdnyF2WykQaG+puSeX86ZMyfVejrXb1cA/8jb7uEcAtw6a1yMY9yjhNyz+tXZjp0tnyvLsd0C/iET7xzWYSXrCfASTR7N/S4IsQ2DHLbq5WDB/1xOgoE9yfbOG4HZfaJF0RerBlU97+r7summ1Pdd/35ocE8B4Nf9/CqxB+9ZuvuCor9y+encP5347ycAuO7xAmhEAH961QF95lxikMt8BscEQY5jBNBxccR4dZxfnBfz4Vjq1Ri/WC8B77Xa47b0or3S59uJzLQrnNP7g3R0Y56ebpty3W3ZemyiKzEZqNESKS2+vpBAHXy20UfNmwA2e1mUzMixhqXn3RDSFYnExuRrydfP0S3g44nGTLj9Z4xhMz+55FsxBIAsWfPa7OML+zABzrlu/aEJzq/D40tLSh8sG1DxscfFJ8R/VZ1XcvtQS38e4A+L8NPBn1H0d7h/OvEfnyOdBKDmCImAIA66JIAbtm/3TGN6gpDbbKcAroaHAB136Zw9RQQ0wCsOj/vCxHrU5XPj8n7Qu5l2uej0MgZf+uol6P0W/HBjHrru2rY37tPR3v5VzoFHDXLz328eLjpN5bugQe+vj89dzjgP7zGZBUASZ/SX9a/Nuj7fa/cs8Cf9oZwn2z/gjFeFQj+HiARKyPTVr82+s9AHOeu7Gy+0LPYlSkl7VUXF3VBW3Brm35fGvqClXxXqzEfs94IfQFbxcY1+AfBrhj/X8o9HeI1/uAUbdvoJgAB6POjKU0QglBD4J9RHGALz7QO2fz9ydLUtG9hxnC7S47oS6xWH1wGP+10uL4Ny/KI9jsHAnBL8q8XeFwp6VU1HWfDTGfOgrbN8a2PjFczmpWaE/vPRm4Y+WOi3OvrI268Ezn8nIvDE4nOHe1tVhgXqbaHRstGrX7q8tdB7UFftzvHi2DFH3H4VAy4t9JkD+QLXEjo/JZ0mN45477WZedcmwxMiFX21ddMNnNljKTU3DRhQfB8tLe4MM/b1BPg94b3REqeKD2o70ugXJvr7DX943zoBkJl+aklvA1AjwoiAPrk6QciJKDgH6+DGTWEA16/jF+X9gNd1eLHPp8cLwPt88+J+U9l1Lpf3GvH8OfW5GfIUp08Her8xj7V3Fm/f3nmJze3BqNcfUTbsx4VE5+EzHTT5jn3jCet14LyPmsOsAW8+QgAEvln/6tX3dBe03Rb18QamTHnO3ND+5hvA4YDgDWXTYuR+AvTtUQPhiCeemB3aACDbg9Z+t6Fvh91xo22zwdEI/aRq6LD7bJqwwoJ7/G4+5ePPjfMDeGP7AWQJL/lXZfaFi/6u7q8s/ykCkCh3gK8kANwjCQD+SicF6POSjRhkm8Ns+8NAro5Jx90l2B33HILcKXmtA178dtx0Xi4fFO2hRHJ7PEYvpIHrKjhH+en91vsg6LVwXN2Y5zTEMFjU3LxxwyVWku1tmmRTMS39wcKbKpuzzVPY/por7oq0vh5fxjkb7/HLBxvR+xtfp05HgLx14ZmzDyuU8Oj31SPAxxOOPmLescDZEgKcZMouymQFIEDn1q+YlXctfvVAp0//eDArMn5JgPQzI8Z7gwcNedAyEyIwh5pBS7/u5ssF/GakiHsSe9B/3SlTe5Xoj38xzDeM+4eJ/wECEGIDkM8XJALi4y9JH8lXCFHIBG79fH69HfcFubvrj1c6fBDwYWJ9CJeHElCVc5Roj+cSobeGSrjx+unDdHqX08c94bipajopC36UbN6y6cJE3BpnGLQJOpPff/yOfTYXAno8pnr87b/hwL+dzQqWiU1SSk9c/eqsZwu9h14Bvni4mlvvBUIuzZiv7y/U4ZQNwkAgsXB65pq62Y8V+nBnfG/LviwRv5FzXmKakVeHjRiyWLf062G9fh9/JvDL8N4ikcmnwO+P8hPgd0R/r9Xf1f0FQBx7QEr8x42tTsSfTwVAG4AAuAgCUotLBHCLkgb0OcuVIGSbZx3gaiwa6NQSDnbcKwNwsgEeRyqxXgDZ4fxWxG+1l6J9UJ/Xs+wc4KeKaXgNebmAXlnwN6zbdJ5tWUdyCu1GJPaDx341KO/oODVH+x95+xmWzR8VVvys3384wyeE3F+/4uqLs72vXPf3GMcXwMeghLbO1RxIZcp4kdW4571VQug2kxgHv/fajIKp65e+s+7guGXfQMCIRCLGMwNGDHnKNfZ5OX9msV9G+Hlj+xX4AfQQX9T7O5zCHkr0z4374/O3QSRWJoHtIwC4SYYA468wIoDbpfSp1IJ0xCDXj0IfFwQ57pV+d7VIUd4LdlzDLja4KB1e/I5LDo9LOrE+pcujXO+I9gLwmFNbjFze1eeLFddXCTd6GK4VT1nvddCnCmr4fPWqYGbDuk2nxBPJE4GAFTXpj//56xFvFTJ3AhMT7xwGifgbnBAZwpilhFVYuWxK6Q7OYmPr6670um0Kvanu+vHDrjtm/K2XcyD3pK0Z5jso9EEJfXrVa7NOLaRCqTr9GdetPcZO8O9y4Ea0uOiRAUMHvZgZ/LqrTw/yCQe/ivJDrp/K6feL/h7u71r+0+n/fgKQAr0jBaTWU1Hh6QiBSwz870gnDvo+ybnDFi/IcYQH6A7eBbj9YBcbHPBnATwOdS32yjfv5fJijCPaIwXAZBupzztZdj7Qu2G4Tgy+E3+vrPe6eK9A37hly+SOtsQ5FGtpRvlNj9088oVC8YU1I9/8eOOznMOx6c6RtfutLFh7aX3d1fcVeh9hx/Uox5cEjZMx429fyoEfg+uZ+neH35CsGmoA/c6qutm/6c7DnvXt9WcmGJuJJywrLXmgz+D+K7sF/oCvXxr6/KK/zv113d8v/usEQIA6CdytpOCVAnQigL/RI+DZ5iMGuM+rHuQ/ky7AHXRrf/xAx11qWzawCwDHpR4vAa+J9X5dPsDlXdEej8VkG92IpwppFAT6TZtqOjusCznhNBYx5j568/BAm/h8ZrG65tYbAMiPM1XJ9Z8vUC4b+LP1ddecmM91cxnb48DHix5Yc/uoBGdvYmGBrEbLNNYMwiEBBkyuf+2a13J5kHRjTv2f9ZewpP01IIwXF8UWVQ4b8kLe4MeTh4T4Kr3fG+PvWP3xmE6ABFb3Qf++Y/lXdgDX+o9728GMiYpLEsw+AiC2aaqAnwjohCCwL++cMecmUg4nDdAaR1f3Gg523BsU57MBPsxiL47BclkBq316fT6GY0U9vNw5fcOmTcd0dcSnATFQ0PzLk7fs1S0OO3b83Ck2s59Bd5UvTz13oz4WrjHJIe8vv7qgPP9MuOkV4OMFx9Tc9i0O/M6spYT8d6fFARBCNtNIdOKqV67qVjGZU7+9/lKWtC8CChCNRJ8cOHLwY7mBX+nxMqVXgV8A2ZJFO/G3yu7Trf7K8If7PZZ/If6LrcIQmIkABIkAbtEkATV3rT7uH/LGlYSQjYgqvTxsnB/kKfBrYryCvArGUWMycXgJ+DCxXunyQau9MzfEEmI+gB6Np/R5QSxyEO+3rd18RiKeEGWpacS4/8nfDi+oWKZ61gMn3DooaZGVHPjQbn3/FGbVr7hmXrZ3Vsj+XgM+3szomlufBA6n6DcWtPV5yweHtAx6P1YSnfT2i9MbC3lAdczp39lwth1PXs2xDohpvjhgyMCHYiVRG7P5/K4+8QH4svpEmK8Zc5J7HL1fE/393F/p/ikCoBn/XOu/TgDwtwoAcn5rUkA6IiC2K2nAP0EOQdA3C0NhyJICtb7P0c/9w6WBTkHc/ZUN7CgAyqg7CfIA4EPE+jBdPr1or+fTu+46SQBkjzuVdIM6fbwjYWzfvO0CO5GcRFCnj0Vue/zXw9K2ls7l+xs3ZX5ZsiW5BABqwsbn/P0T8lT9iqtP646dK9P99irwRRJPPP4OIdAvbY2+gC7gvV3nBp8fNYhOLTS4R53xlG9/cjyxyQ9tDqZB6ZtDRwz6A4/wpIrwE625UrH9Ma6DXyX3qMw+QRyc7D7oEuGmGvdXur+SGHC04+/PmwCkJwK4J7y6ors1LVHI8hW74PYCXB0mBXk3zFZt1zk7bkP9PV/AC6AaQJTFXqyLltVCDSJQBG7MPXozYpg3r4v2Xh+9v5CGbScISZLIxnVbLrcZO4RwsEiE//yp3+79XC7gTjempuauSBt0/YtxPtWpRRtixM+WzSJq5+8woOig9+uu3NSd+9llwMcLjx5/ywXAyIPp3HvZ4vpUwAMBeGh13dUXdpcCnnndhsMTXfYvOWel1KRrBg8aPI+W8lR4rx/8eoivAr/X35+Z+3vF/3QEALerGAD3t9AIPFJAOBFQL1gVAUlPEPL/jBTAw0BeKNgFQQhxz0nA+8X6oC6vDHjeSLxwfT4M9KydFG/evHUGY8kxBGhbhMD1j92+V13+s+MegUbt6ppb7wcgX02hHXf7Zf1MxWidiHfDoNNWvTZ7cXfuJ9uxvcrx1cWrD7/tLgB+hZgHf3xClonxHEHITWvqrvletofKtv/072+rtjs6fmvbvJKaxvr+VX1vKSqLNbucP8zXjwB3C3rgNfzcH7eh7t+FwT6RIhEDgEE/IhZAi/qT9xcmAQQJgDinsAVI0It1kQ+gFmebTy3INgeF7pccHRdpkcdFcnW5zRXlcd0rzouxhQAeisCjy2tcHs+J0gGK8qjbY7ms9O66BOlqi/fdsbX5WrDZcA7QECkr+fbjvxyIBTG6tVTX3P5rztn/+E+SlbEFvn9675qV+dfQy/fmdwrwp0y5t2hjc/PLHPihgYkJb7mVahnkH0+BXrX69at/l++D+sefPHPtUCAwF7g9nFDaXFwavbtyyOD3wox+eCzq92GifzruHyb+ZyQAeBGPGoAbdCnAXZdEAJcwQuDdp9Z0r0GmuXOBrUa5AFdbdKA78Hb1dmdDSo/3gV2BX0TihHB4sS1ErM/M5X2iPRr7fPo8ptY2bNo8rrM9cQVnrC8QY/1n/etn/XveyI3d/Zaqa27D/o4FuZ51Pz4h5O0yKDqqru5K9xV39+bSHL9TgI/XxlJdyYRVxxnro/cC8xvzQmQC761TagOQs7sT1qtOeMrl6yp5iX0zY+QgpD/RaOSfA4YP+XskBgyNfrhkFv1dHV5wfzxAuP3CxH9l/cdBSgIIsQGEEgCNCMif6j8ZIpxaC4LeKx3k/hW54MZjXPAjRxfgFQY6B+XORh3sCuAq2i4IeKXDS1FeB3yY8Q7FeuWmkwTDcfH5rPYe0R4HRqOYAES3r990TiIZP5sDRf/a26TDuO6pP4woqOybPotja2670Gb8L6pdrV+0zx6g48gEhLaYERjfG667sLe+04CPFx9Tc2stY3xBps8vl4AfAtBumtH9uhPWq+4BU3pfbl47iyX4RQyAGAa8X1lVeUdxn1iTbvRDMkBtzpHzC4KgWf113V9Z/iXRkCZNPc8f16X7DxeXALheANyuEn9cKUCcRyQDqcWRBnA1xR9cRqEIgj7X2diIArV+jAtwB+TanzCgy90ytDYIdumek0a7bIB3XHQpsV5Z7F1RXtXGE4QgZbXH42Q1XDTiJVvi/bZubZjObNhfzH2U/Hli35FzeyLDbf8jbj/JttnjwCGSyjXJ9HFn2EconFtfd+3fCzw878N2KvAF+A+/5WbOyXdynagwQkCJce3qlbM9PfzyfnLfAWfO/nRypw0/BWCVQIzm8j6l8ysGl70T0Ps1q78y/CndP8z4l4kAuDYA1wvgJQA+IiBXRU5AkBC4FCAA+myI90+ejwJ4uLs2VsbMe4HuB7sApaED3uHUTpit2K8l1eC68Mnj4lTJkX55F/B+XR65PLMTHlcdgr5xc/OB7S1dMxiz+wAhjRGD/PjJ2/d6sbvfCh4/tmbuQcy2XuIEyj0BOr6T58LIgPaM7Sqf59rpwBchvYff9jDnvFbcaFbrh/44BCW1q9asvOaufB4y17GnfX/TQKs9cTOz2eFoh4xG6d8HDB25MFYCtjiH8Plj444w7i+NfThMJu84xj/8oYn/ArBmEddtADoB8EsB8nyK04cAXm7KQAzCnt5PCcJ4vfc4D8hxl8PRXaC7GyXQ5XqQu7ucXnfNyfGyb10msR7FfZYS85Vv3uXyYro7wNi+cW1tIsHOEQ2mDLrSLI1e98Qvh3S3CGFqUsZg5anO1sc545NT33DYVGf5vgklzxwyaugphfSYyPW7Tndb3Tm+oGOFsa+p6T8cYJL/BGmT+YDYhJPL69/o2WQF//WF6L9jw2yLJb+O3wwFeL9/Vb/fFVcUb9K5P0ACdJ8/cntqx1KlvF3u7yUAeD1dBUAC4HoBcK/yBMjf0hugFpkQ5N5zOs4vJQP/oiSFdC9NiOj+JWSTIgI6+hVXV/D3ivKaWI/cHXV6xxeP43UO79Xj/WK9xvWdJhfgVMFVon1nY+eQhu3N37IZ3x+AM4MY9x49YMRtPSHa+6cGg3Ws5sTjnIPIS8Eln2RUQsiqkr584htLrs27u25BwNMO2ukcX1177JHz+vNkchnjUK0mS+4LDXBg0YqihdFBFd9+/aELum2FzWXSvnTNhkkdVvImbkMlUG5FzMg/KodVLSopjcgKQT7uj5uk/i/r+gXFfxzhhv5KAiCNgLigGxD/ZiICYpyPEIjreogBbvGi3msbyP70LrDVWC/6dY7uBTquKUNdCNhRt3dCbFPcHQ/RRHpczSjWpyz2Xi7f0Z6MNWzaOs1KJM/mjJiEkh0lEfN7/7x12EvZn7jwEQdP/XNp1/YG5PxpMvC837Nr7KPbYmb0qLdfy78LTuF36x65y4CPtzD6iFv2BYu8ApwNTFfpm2CeS5/YLeaA4gRQ2m5GIn+o++uFPZaXnGkSz52xvn8bsOsZs8+Q4+jWsj5F91QO67ciHffPlQB4jYAaAXDUACQA4lwiHkCSBBkToBaHYDj7vVB314JEIbfPxgW3grY8TpEAydFdoAvA+vR2udfL3XXAy4g7ycVzAbyy2Pu5fMOGpvHtLe3fZEAGYgUoSs1/MaA3PjN/+I7cnrZ7o8aded9Ia3Pzs9yyR2U/E0dBsssAfsKq1699Ofv43hmxS4GPj1Q9/vYjuW0/B1zEfngjnQh0fhZae+5Bo4b+5wO7/UIGMBrBT83o/TuL8+MtnTZr/VFJy55jgz0Kk61Mg7/at2rA3WX9otsyi/94tF8C0F14Tvy/GCYFCY8U4BABCXsVFOQFvpcYyJFqQekg7LPxawEh0rw4zAW3F+AuyH3AV2K8sxlLWSviIHR3XFJuOR3wyjXnDcIR18Hj0oj1bU2Jgc1bt1+RtPmRYu7A+DBqGnOemDv8ld6BS/Csh33lr0OZlbiIWHbfrnWtZ9uWPc7jrg70wkPKRC6oX3nNwzvrHsOus8uBjzc15tDfns04wRBFquaJEtJGTH7WqhXXYsIDjKtdEI3Z7V8W4AeeMCP0r3UPX/rhzpq82gXcaF667grLtqZzQopREimKmQsqRwx6pKgoIp3+esKPx/ovCYDXBiC3GUItcH5jEpD4GSQCuFkZBSW8/RKBmglnu0c6KHyWJBcPAb7D8QVHDwBdbsgMdg34lgrA8W4Ls9aLZ+9KRhvWbTm3K26dDxxiQHiHSc07+h434u6F5xNpiN0JS82X/zTKSrILAEiUAqxp3RD5B01sX8wZO1Eo++G26+vWvHHtr3fC7WW8xG4BfLzD6kNuncmBzxU6PiHNBtDTV71x9TL97rGiyQes4xzG+SGEUtsgbHHdwsve3pmTeMo1nwxJJuAGzthUrCtKKNlQXBR7sHLvyudjpsz2wyWV8ecQANymbACSALhgF/scT4B8lqAkIM/pqgS4LgiBQII8ShEDcb403D7fuUJXmzpGBzluczk6rmlAx9UQzo6b3cAbCXJppddddRh043PP4YGYTWcljIa1Dcd2dSQuYIwNB5x+w3jKjPA5T926d68ltITNWU3tvQfZnJ7HGTMoIW/uR0v+jpb5iRMXFO/o2vgPztjJ8jiPWf9na9689sf5voPeGL/bAB8frvqQ3yIlvIwaxtRVK68OTZpAd2DN+X86xbbhaCCEG5w/sXLxZTtNtFMvYerMD05IJukNHPheFAinlGwyi2IPVw3t80y0pDSpEwDdA+ASABUE5CUAXinARwTEqlt9XBICDfnOzaUIgrpZV/rP7RtymLga7AW4BDkuKY7uAF38UeK5o7dLsPs4eQrwuogvAY/tqFM6vAP4RL7yzIUAAA6USURBVEd7ZOvGlhOtePzLNmNDHXvQ2ojJfvz0vP16pOpsbhMjRx1+3r1H2YScBpxjwNeyugWXPqUnj6HXakNT0z+Aw9SUsZrAbWveuPaafK7Tm2N3K+AjqPc/7Na9Vr1xbdbCGzW19022bDYVJ4dSsvT1v136TG9OVNi5r7hiReSjaNXXbMv6FgAMFwkGhGyPFUUfrtyr3xMl0VLNAxDlSABUDIBOAFw1wE8EnPWUOuDdnyIBGjEQ85EiCD2DfA/AfSAXwNYMdH6g6/t17u5uV3H1AuWiQSVyd1w6Eu2xhk9bTot3xs8HQAMwBaB8vWGYd+2b2PqXu+8en9zZ7/yw//enExnjx+F1TYM+XbfwktCAIOGybmx8hAOcCkD+WP/GNd/obmZpTz7rbgX8fB/skGn3HUYIO5szoITyunMOXPtood1L8722Ph59/8sa1p2fTFgzGYN9cVIpkKZIsbmwYmD5o2UVfWU2jWMDSBGAgBogga2rAn4CIdZ9hMA7Bs+gLT6ikPNzxqSlXeBcO0iC3LtVcnR3mz4mHdhdcT4I+LbG5tId21rPsjutWgZcFPMmFD6KRM15R1eOWNAbPvls84Ldmf/+zsizOCM1hALjnP7jzUWXvJ7puNNOuz32wSZ71qGjh92yswN0sj3P5xr4+HDja/8wxub0fMYgQgl5n/aP/63u7it3OifAe0GJZerM9efYdvJqm2FsuEgJaTWj9F9l/cqe7D+k8lNFAPAv2gFyIQKSHLj/q3wB+XLlHi8x0F97QY2JfHB3z+cHOe7xAx23Kb3dsz+lu2tgFz8lh9+xqWGvtqa2U62EdSbD6txAwKDsfcOI3fb0vOF/31UcE7vg2NujtRxgLKWQNAhbsGLh5auzgWt33v+5Bz5Obk3tfSNtzr/KGS8mlK6NxYwFyx/4WqFlJnvkfZ04/eNTuQXX2lyE/4rAJMMwVxtR86m+VcXP9KuolKXENGNgZiIgQY7SgAv3dMSgF4Hv4/hKGtCBng/YmxobKpq3dp5oJe2p3LbGYjM1rLNMCX2dGPDbZ+7Y58keeSEFnmTCV//SJx63z+eMjcQejwYhD9QtvGRtgafbbQ77QgAfZ/Pgc/9cRQ3rYs5IH0qggwMsemPRZT1enTTfN3fyzE8nWUn7YuD8VAakDNM2CeGMGsbLkVj0qUF7D3ghGommjIF4/nSSgODsAf3dcf0FCIKXPPjvW53H5dZhTxYU9yXAcdEVAJ3r61Z5H2d3uHsimYhs/2T7MR3xxClg2xMZJ1Q8GyFtQOBJM2L8+d/z9urViLtc3uOh0+4dTQCmMQ4lhPIWZpt/fuuRi7fmcuzuPuYLA3wB/ov+XGq02+dJXz/m2MILo6H02d1Bvzpt1pqYZZvnWUn4MiP2ZGDEFM1CKWkzDPpMpDjyXNWwqjejRRFpg/dJAmITEgW0C4gVrwgfJAjpga+kBvVxumD2f65ecHs4uRoalWNkdlxqozTSOUAXt9uVLNqyftuhVldiim2zEznjZcI6T7lFufGiGYGHTcNa/MTc0YXqJj2GNXQbr4H2E7gtY/DRR2+XGovfuv9iaav5AixfKODj+0A9+/Bp9x3DKT9BGv3oWoN0LaxbeGVBXU574x2f+I0tgyDS+VWbsVpu8wO4k6NMCNhA6duRCKwsKoqtqBzR/+1waUCRAUkMxMeZhiD47z+cQPg4dthDawAXeNZALoCvgO6AHbl6w7odB3V1JcdbFqvhNj8QgJvqMELIe4TSBdQufuCZewZt6Y15LuScNbV39bV5Ua0U7YERRp5dueiSF3aVfaGQZ8jlmC8c8NVDH3bePXtxatZyxvsQ4J08Yix68+FLul1bLZdJzWfM1NlrD0wm7IuYzacAZ+MYygCykShW8YhTg75pmGRFUXnJawOGD3wvQoCJ8zsSgQC9MBKqRZEClyjo95MiEL6bRI7tv28X3F6o+0GOe5Mcq9xsG9fV2nEEs6GGMXYIZ7wIuTrHZpHAGSXGu8SApZGocf/Tt498J5952hljD/nyfdUkaU/jQIoJJS2EWQtfX/wNaZD9gi1fWODje6q54tESa0fDecBZtXhvhL9UTcv+szuI/mHf0eSrPq2IETiRWdYJjJOjmY33rSK/RLwCqgEfGpFIvRElH0Qj0TXF/Yo/6ldR7vYc0AhC2DW8RMId4QFz2IGO5R13NTW2VnQ2de6bSHRW23HYj3E2mttsP8ZJjBBOuOyUDtQg9ZTwZdQ0n41zeObFO/fqVm+E3sIeivb1rO0k4ESmiRNab/avXFx391n5ljDprVvs8fN+oYGPs4Wi//jz/zzJ5uwkIfoTWGfQ0gV1C8/fbUT/dG/1xG98NIibxlTO2PHMZpMZ53uFgplAJxDYSCnZSA1zAyFkK1BoippGEzXMJhqLNJkm6TBNI8FjZrI0aiZ4JCJcniSZjLQnrCiJWxHLsqOWxUtYPNmP2Va/hGX3A4Y9EXgVs61hjPGhwGEo42GJ+wLon1JCXyQR+hyJ208/c8++u40In26Oa2oX9LVZ+/mcwwgU7Q1C/7NiwcUvfdFEe//zf+GBrx4YXX6Mc6z515cQEqecP/Olgz99dVcE/BRKvs+6YuOAdrAO59Q+lDN+EOewP2N8XwJctKQNlC73bQk2ZPTeSbZWD+5+0kop+YgS+h5Q/g5hxhulYK589O6hOyVdutD504/DgJx/vrXXkYyQEznnMUpJMyVk4RfBVZfL/PzXAF+I/mfdVcKisbMZx+osQojeHInyR1976Ovrcpms3XUMqghlUbJfosvej1OyD7fZEMZIJSF8AOe8HwHen3NsYEpMYDzKgUQI4RHZypwmCfAEJ5AkQJIAvJ0Q2kCANHJgDVjQghh0k8n4x4ZhfNDG+Qe7q8ie6/s54it/HJFMkLM4wGChkmDgVyL+j7pHe7+sda732Nvj/quAn+L+0+4dawGcDhyccFBeZ8ST//5vevG9/WHtjudHwm/HIidj2K3U5aHJBHi8btFlq3bH++3Ne/qvBL7g/lfcFWHbi47jFCbJ1EroIJT8u27BJSu/6Ppdb35Qu+O5ZUbnfYdzxk+WwTjUJgxeogO6lu6q8O5dPU//tcBPcf8LHhxgx+NncoB9BRMgsC5C4dHXFl62eVe/nD3X7/4MHFF77+Akg7PQeOeodx8Zsdi/dlb5tu4/Qe+c4b8e+CkCgIUVGJzKOZRjTC0BvrxfOTy75E+X5ZvN3jtvas9Z85qBKZfeW9TUCidwIBMwb54QaDUoPLmzC7fkddM7cfAe4GuTfdqsx2ObN207gQObIKP+SCeKhPsZJa8sXHi+GxmzE1/QnkvlNwO1tQuiH9gdR0kVDpO2gBGgywcPGfjsE3NP3+XhwPk9Te+N3gP8kLlF8TDBhPFvb7Gb0nbC+IvGgPir/606Ye99gj1zZpk6GzuSUzIZGJPN/gh8EqXw+B61LTjHe4Cf4bvDYoq2xU9w9UPSBpS9OKS9re6JJ2bv4R49g9lunQWLXWwqLasBRidzwMQfaacxTPLszizG2q2H2AUH7wF+DpOOMdzUYicwDkPFh0WhiwNZURQzX9nVef853P4XcgjmyXfFraMI8PGcySKAlMBGZtJnd8ecjN3tJewBfh5vpGbavWMZJ5MYyNBZdAtRYG8bBJbtESfzmMhuDEU1zOZwNAN6ELphBeABQ4X5S/+N/vhCp3IP8AuYuQnn/WV4FyQmAaHj0GIsT0HWGwbUjYKSt/cYAguY1AyHoMHuQ+g4yLahBoAPl9NNOHD2XhFEX1q++Gvre/aKX/yz7QF+N97x5AsfqGiLJyYCgUOVuInNPqhB37Lt5Mq3Fn9zzwfZjfk9+LzfDzeMyOHMZgdj0wqlZgGHN8pi0ZdffPCru2W2Xzceeacdugf4PTDVwqLcGD2A2KRGqQHiIwXAWHcspvHO8r9euNtnqvXAVHT7FBMueHBQIpk4UCQhAVSqE6I4zw1eZ1Qk3t3jWen2NMuGBnuWnpuBw2r/OJAAqbE5HAIMpFtJGJ74dsaNt4tikff2EAHvfCPYu+LJcZTYBzFOBqT2Umg3CLzJgde9vvDrPdbbvufe9uf3THuA30vvDtM+H3tr5N6WQQ8ExsdhjLi6FEaRAcAaDmRNRTn/8L8tOhCj6hpbySgCHGsjjhbRkikCCR1AyXumzd454+C1n3ye0qZ76VPqldPuAX6vTKv3pFjh5UOI78OYdSBwUq38zY7OinXd1gGFTzjna/uVw7ovGiFwwmdHEEJGAoO9OeUjMDIyRQgBq+vyekrNd0ZB7OPdtULSTvhUdtol9gB/p021eyF0SVk2wXJgo/0gkHkCsJUCX8sorIsAbC7d9un2JUvmWLvgVvO+5JQpc8z2gXsNSAIMpgxGMCAjOUCV6/0QcRCS2AGsMQ1ev8cVmvc0d/uAPcDv9hR27wTIDVtbYW8L+F4EyEgsbcUBhH86xRFly6bthLAthJEtlPCtlELTgMGDGndV/DnmNWzfvKWCMejHOKnilA/inA4ihA3QubmQagBsLA3Gga81gXxaXg6ffNGkmu59BTv/6D3A3/lznvGKU+Y8Zza/9eEwQg3klMM4h0EcSKXOMb1EgXQSzhuxqATnRgvnvJMTuyNCCerKHZA0OqJGLJ6ARrscLDsOA+1ERaN11tBNoo/8oxuHGNHGCjMG24xWMI0oVBgJOx6DiF0CjJckGS8h3CghhBQTYvfB4iWckApMgAl9EJnZ2EAIbCEAGziz1/Y9eNSGJXOO/1xILLvZ59Brt7MH+L02tT13YnQXWo1FVSalg5jNBgFjA4CK6kH9sGdgz10p9zNhDzksuAsMmoDS7dSgWyzGtpgVXVv3uNtyn8ddNXIP8HfVzPfQdafUzi9rN4ormE36MaDYoquEcF5ic14ClJYQDiUcWJQQanAgBsFCspyYzFEnKIDNCbc4UJsAtzlnNgGKNfg6gLEOg5AOTkgHENJBgbVRgzeV2p2NSxbOaOuhR9hzml0wA/8fe1z69YnwONMAAAAASUVORK5CYII="},40362:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},74732:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},87017:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},49747:function(Dt){"use strict";Dt.exports="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAP4AAADuCAYAAAAZQLrKAAAAAXNSR0IArs4c6QAAIABJREFUeF7sfQmcFOXRftXb3TN7ch/eideCeIs5jOYT7zsqBoyIcgmIiYkazyRfJPnHGM8kJhER5RDBCBFv8USTDzVGSbxlFzUqRuU+9pqj+61/3u5+p9++ZqZnF1iQ+SXuMtvd09PdT9VTVU/Vi7D9tVVfgSHD/lTXqlX35Bb24MDqgKgGiWosohpgrAYJagh4ChE0Ak1D4BoS6hxAE1+cAViEZBIwC8GyiMBCYDlCaAPO2zTENkJsA8Q2BryFabS+1mpf98L877ds1RfuS37y+CX//lvF1x88Yaphrqvqp1tWf860/sB5H2DQAwB6cA7GlvgSjEEeANYDh/XA2GrGrRWmpq3Qe2ZWLrlzovjb9lcXvgLbgd/Fbs6Qyc/rG978YGdk2m4EsDMR9CfAXkAUea+QYTsSrQOE9UTaRiJqJ7TaDIZtIP6f19pSWjqbA7DqYZWVhb5Wruc687SdPrfEV3/0sx211LqeehpWac3QV0sBaDkrmwbDqgFONXkuGIRWg4jViFY3IOhBiD2JU3XkpUMkBFqLCCsQ4D/ErU+6H7Dnf16YfJTZxS71l/p0tgN/C9/+IaNnVDU3w1dNoK8g4G5AsBO5NFyeGjLgRGw1Il+BHFegwVZp3FrXZ4f+6xb+4eTslvgKJ138RHr1Fyt6WkzrSXnelxj1J2L9EXkf4iKC8F4IYAHCZwT0iQ74cX09fPTCzDGZLXHe2z/TuQLbgb8FnoSvDZuxg2lhAyDtRQi7+YCCSAB8lQb4MWew3AD4onbVx6tfeGHyVuExhwyZrLf2/UqfPMAOjMOuFtBXAFhflbEIQ4YEnwDh+7pGTa/OH/PFFrgNX+qP3A78zXD7hw2bp30AG3fnXNsPCBsIqE715shxOTD4iIg+6VEPy7c1byhYzfpm2BURdwMOXyVGu6rGDhGaAWAZY9bbe0K3f8+fP9wOQ7a/Nt0V2A78TXRtJ0+ezB5/c7evmhrbDzgN4gQ1BbC7DzoBLutZTx9sa0AvdUmFIVjXjHsi0N4AsDcR1Mt9mKgmMHxXt/jbpxzwyUeTJ0/mpY63/e/Jr8B24Ce/ZkX3OHjY9L4IONgiOBA41HoPNK3mpL1VlTbefeW+ESs6+WO36sN945y5/TPZ/CCG1v6csE/hyzBo1RDeIKAl/5o/dtVW/SW72MlvB34n3BBRbrPWpfZFCwdzO6YtJFDWIsO3Ukbq7e1gL+9CCyOQy+f2I077E0CvguEE/Jg0WqL1zL2zvVxY3rUsttV24HfgGh4xYk7PlmzuMEA4iDhUOYeiHDJ4i3NryZsLxn/agcN/6Xc9YOi0XRjTBhOH/QEwJS4IMsgAwet16dTLi+eeu+5Lf5EqvADbgV/BhRMPJIJ2OCAb5GWr8VNNgyX9Wza+vXDhD7dIia2Cr7JV7HLSSbelV9R128+yYDAA7WKftKh+EH+XwHpxu4FNfhu3Az/BNRt81oyBnPBwSeeRMYsBf0tDeGl7SSrBhezApqIUahF8iwPbnzh3Zcf4MUN6cckDY5Z24NBfql23A7+M233g2bMamMmP5gQ7SbpJgK9VpfW/vzJn5MYyDrF9k06+At84995umaz5TQQ6VIZZDOEzrrNFb9w/qqmTP26bO9x24Be5pYPPnrmnZdLRRLCrDXjAFmB88Y6tLUu20/mugQURBnxeWzcYODtC6iMQYbmm46Il94/+oGucZdc7i+3Aj7gngk7mOJwMBF+1/8xYK3JarPXJ/mN7RrnrPcTijOzKyur014nhEcC5U0ZF+CjF4IntYVj4nm0HvnJNhP78i89XHU3AvyGUZXYDDIcX99Jq/j5//vBc13zkt5+VegWGDZuXet9q+yYxOFw0EtnyYGCv7LBj30Vbqq+hK96h7cB378rgYTP2tzicaKvInA6zV3rUw6Ivm6quKz6klZyTKxM+mgC/ISovQhasMXhyyfwxb1VyvG1tny898AefM7ePlc2eSgB72OwQYbnB4NHt9HDbeNRF2JbncJqXp4EPtXT6sSX3jVi9bXzDyr7Flxb4Iibkq6uOdCgh14RGHBk+s2TeqH+i3SG3/bWtXAEiwsHDZx1CnI4TPROiDCtCONYn89cva87mSwl8UY83wU7eiSk2gIyWaNn8M0sendi2rTzs279H+AoMPm1qjZU2jiOOg93k33od4IkvY/3/SwV8ceN5Kn06J9rHSfrCF0aKHn31z2OXb81AGXH7+p7VGXNvS6O9yKTdAWBHQN4bOPa2p+UACc17NRKlANEA9ycBEhI3EVmWA+URxDgtbBUjteypPozWALE1APA56vhvzcL326v0ZXMv6rFVS2W/9r3pu+ZzeBoB7GAXbRDfY7nsw18mw/+lAf7gYbN240TDOKfuiJhlRM9954CP/7E1tX2O+XVz33xV+2Dk/CBEbV8E0e5rA91uaxUZLCKyf4qX/F38dDwcijedn7bhI7TBD85YL/m7+OnsIH6IPzn/RLD/IHZqAcR/A+A7RPQOMXjdyFQvmfGT+q2mg060TT/y5le+zhGPIaI0Y7iBIc5fMn/UJ1uzEyj33Ld54Iv47tDh9xxuET/WLtEhLAcL5r/+0Jj15V6kLbXdBdet6G/WaMdzgqOA+OEAsDuJL+Qi2wM5tROHz1HTxIy7zxnoKzWDrSMTNqDG1jOOG7jOWsmkPGhaPsX0HJA9LFOg2chxMwWWZaCOBjN5LWfUnSzegxiInz05mP2AsR2R086AtCMARs/bA/g3AnsJGSzS26yn7/pp/y7ffnzQGTN6gAbDRPJPlP40ZM++Nu/8F7f1PM82DfzBEx6tMdesHQrEG5yHnF5sYHXPdtUJLyOuX98zXWUdwy3zGEA4nIic85YvZO0I9KEY4IFMf5+Rvowx49+axmzqrQoNNJ6KSFCWkiLYDXC+l8VyhWdE/tUSxoDnd+do7k3c3MseqEGwJ4HoUJQswSYWTUDwItPwuWwm9dzca7pmiCAmJDXxlmOBUBhXkfRp0nv3WrDkztO22ZzPNgv8g4fe9RVi+jDi1A2B2nWNFrw2f1zjlvLecZ97/u9WHIAWOw+AjuTA9/XNQSSWQYQ3AXCJgVWv6nr6PRGUS/h64A4DmmlRwE/+7bnlAd/b2zEB0iiIfyEhM83sPnnKfA0JDiGgA4FRmjihM9kROQC+ywD/Shqffc8l/d9Mfjabdo9Dh909wLRwKAFWI8ONyM35/1pwwceb9lO3zNG3OeDbpZthM4/gAMc46jv2iYaZ+UvmT9ywZS5x+FMvmNbSP9/Seh5xNoyA7yviZhcaFmr4NhJbgsx4raqq+m1ukilgHQXyELhzngFgehj4yf09ADcV4Kf8jMBvFDxjIH5jOuqZTPt+xPOHWmAdCpz2RYa6Ep68S4DzqrrVzr5rfF2XCQkGD5va3aKqYcT5boL6M4DnlswfvXhbo/7bFPAPOO+eWq3VGsoBxCw3ka5d3IA1z3UFaj96MlXxbquHAlnnAOERAssOrcQWAlykM+MFHWveQI0yHtAVIKse3AW4BLe3lR/aWge9vhXy9g64JfwLRkExCEFjIFiB2J4srDKp7UCT54cg0NFAhYGjFiAtBtTuYxtbFsycvPsWH7ttU39qOwY4ifskZoUvs2q1BW/OPl9UPLaJ1zYD/APOvKcf08zziWM3IcbhOlvQFdozR9+48tuWhucB0UlAVA/MLqEJ2vsKYurJdLp2MRDlg2D3efNcDvwgdwAeCWzF60c9oVFMQGzn8+xROwa8vU31C4Yh5TcGkYYgZYcGzhgdNLLZ1iOIcicC0DeIUBrBZgR4kkCfNfvyXou3NMLcduyhjuiHNnJLv+fNB89fuaXPqzM+f5sAvijVWUTnOk0Z7JN0Wpu3pfvkz7955UmI9GNOcIiosombRQTLNEw9qWPVc8xg62PBHgH0EMhjaX2c/3cel7jYPyqW9xN771/F6L9jDKINgfcZnhHged4jz9uO5WCeAAANsnzIEP5JhLfcc3m/hZ3xoFd6DNH3n81awx3qj+0a4pxtoeS31QNfJGQsYsPFGnIIsFTrk5u/pWSYIr8w5ndrziTOL+FEgwTckUEzgvEY09JPGZr+cSmwO7ANePRIkKtbKoDOlZ76pelpX8bfMrOln4NU2j4zCV7PDDi/RRmDICOwt3HZQJQRyFvmV7iVPYEof6rTLMWRkfYOMPr9zMv6LdhScbbT8psaRgADxZqBGvJ5XTFRnMS4lb7hSY62mbc98KxZByPy050kHi05Y79PHt0SgpzJk4m9X7fyHAD4AYqylq2IwfXI2F9q9G4Pc6R2FfAFr+t6dglhn1f3xfEeyL19/QAPgtm5FdFGgFl+4HMtDvgO2NVXyEgoBkE1BlHxv8oGwkbAYwGMsLrNbDkdrNwwAuxhS4sQP+AAf9yrpd99kyeLCsHmfQnBz0Nv73aakPu6S5o9/MYDo/61ec+i8z5tqwX+4GGzjjAtfrxNXxn+9V9/Gf1c512W8o40YSoZbW0rRoEFFwKgPQQSAVYxxuZrRvcndKCsZdfTHeCqgDftrHvOi9NDXj1n72Xvo3jxMMAdcEsw+6Ee7/3lcYp7ew/48jfPSPiNgu84qbTNDGQqMJ4NpECPYQEay6EJmLbyG07mnA8ngD4g4M7wUwB+R019/1l3TsTNvirvwd+deQzndKS45rrGnl4yf9QWz0WU97T6t9rqgO90Ws08wbLgW6JvXiNa+M8FY/5eyZfvyD7n3rL6GI34r0jO0Sf4HHTt/pTW+xkLc6ZTflMAH+fdA549CHY/0LMRAHfAHe3x471+6e8e9vZiHw/gzt/9BsHbp7BdnBFwKX8UCwiGARql9Jy15jgwrbOB4Y4iWYKAH1vIfjbnx302u8E/ZOiMb1qIIlmLmgYvLZk3+qktFYaUvo/RW2xVwBdllvd52xmc6EDRWqlr+MBr95//dqVfvpL9Rv62dUdmtf+KyDrBlbF/ylhqrmb0+CvHHJeAD9P5sHd3Muxhz+6BOAj0KJC77wXou/fdSsf80dchBviFsCAC5JCONARJjIBIC8aFAYxSzMqvP5Lz3AgA2MVuHgDtKa5V/+zeS2s/r+R+VrqPPbiF2FCnpRvf2IvVPNQVysblfp+tBviDhs1Lpa3Ws50aPeV0g923OYcpDptHWvXHqyYRwg9ArIOHkAVk96eMbg9oSKak9KXofLlgd+AaBHoUyMPGwAf1bIXAT4dpfpTHt98LGAOVFYijOOGBc7yiRiDAAsJhQApECGAR6rnsxrOA8bOBQxrsWQrwx/Zd+k6ZPxw324KbYhirmefniMU+RK0/q9Xe/+5WMqJtqwC+7emt1hE26BlrZXpq9r/+fM5n5Vq3jm439qY1h5lo/j8i2Eu0tDFg/9CNujs1xlaGYvhcDqLidx/gLaddLujZJdiD9F7zefNsYb8CpAPgZoGsPUBSTYy7KJB74Xgw6+8aBWkaHDArDEABugd2hw1EGQGuoT8fEGMA1BDANgCc98ubLeM5t74pPochvq+T/r/Tr+j9ckfvebn7H/y9+3biZu48MeBTgH8vrXZuKc8/cNi9+y+dP3KLjgDr8sAXMf0h3501VNB7AXrdMO7eXGOTzpn8WR+9Xv85EJ0mHgTitELTjWlpo+4fTpbeqc87CbgA4AOxu6kk6SSwmQUUBnsWooAeBXIP4H5g63qVv0GnY7gH08wEnhPHMPgMgmIMihkC+TfHCDgqfpUF6K4OQK0KyDyAZADSAFjMWVcrm2/5umWZ4xGhv8j/aYiP5pvNX943eafNMl5LjG8z8/lxNvgR3/jnX0ZFlh6HTH5e//ztj6YS4Agk9u3GB85/rVwD09nbdXngHzJsxol2Ig8ox1LV0zeXpx9188r/4QQ320MsCEyG+FCqtsd806KcL44vJO3cGF4BvIje1ay8A3gnbi8OeMer29so3twBuofiAsDdtzLK3zQjAP4Knxwr74G+Si4P6BICv0GoChkCAe6wEVDB7mcB4TDAjffFuadE57CoFHg5AMcAOGVAXcNUrnW9qLWfTkAGAq5lCJfPurzf3yr86ol2sz1/rn2soP0i4ffP+WOeVA8waNi8Oova5hPRic77+GkqlTr07S20cnKXBr4s2YlEnqbRvZsjphc1+X/XrL6MkI/ngMiQ3tOg6nYjXfVZMI5nHMj2/Jo7qUIxAhLwYTrvUXVhBDzvHgZ7JNADIA8D3NlAMzsJ+LoEvp/+S4OgGoNYQ5B2AK4aAScv4MX9YotQGFCoCPgTfpbleHrOHCMiDYCg//lsZicLMhcR0SAUCiBi03Zv63Pr5qj92wuwWDhSJPzUUt9+58ztn8/nHiciZ+SX+0LAF+t673fUkjsP3exlyS4LfCHOAeJnipKdobP5myN7P+a25r5mvu13ZMFgRFGrSS3Q9Z7zQtn6CFovY3hJ6VXA5+0Y3QO8ZrmGwn1P9ewq2G2PrgDdD/I4gCuMIMbrtwd8WdxUDVPx9narvfKyIgyCMAbRhkBhA5FGwM8CjGAyMJUGXwjgen/h7f303/H+IvvPzXXDLSs3VET+wGiJbtRcMuOHm35C0KFn37Nf3uTD7MVUkT2YYawNyFpIzqSk0AsRpjb+ZcyFiehFJ2zcJYFv90UTO0co8jSAJzZHnV5QewvgegTeiwg3pPSqP+h61Zs+Lx9B64OAt72tS+n9gI/w7i6NjwK7pO0e2DMBL+4AXHfB7Qez9y/Nqq5oYrCltSvPhmca5G+eUfAMgmMMnH/7GEEVKHkCzwik0+lIFiCZgTQAsTmAIvTfFgCZmQNyZuZiAt4dka0FZlx972W9/q8TcFP0EHadH+BkC3GnHNFZgNBDmvrCJDPl6jJkFy79y6ipm/q8/GxjM36aWOSg1AIVzmw8Pkpo7zeHIk9Q+w/qVl5KBKOFLoQBvpvWe/7BNPj6YCwvsvV+Wu9QfebL0mehGOBNYRSiAO9ScwH4aLB7QPdg7fwWBrffDOhGMvCbeRX04hP8nMAzCs774r9BQxA0ApIJmApTKCQH02nQlcqADAPiDICsAnATCtp/Qf+jvL+eZz3yfMPFFln7AopVdWDmni39frupqf+gobOuNZF+BkC6D2L+MYbOIEMx5FTDoxrnjX5xc8Fxs3n8/c6euWfeor8Bsh81zh/1l6gv6LTW8nFOlx0tef0vYx/elBdi3K0bemWtzO8B4UAxhhJAfyit1z1gakAiYy+z9cKri0SdraUvdM7lwE/rZdJOUnrPw2tCuyu+SAHwTjlPUvliYBceXQW6H+TOXyKBHeTzANAGEW8qF7gmAPACqgM3wTMMnkFwjEHQELjeP8AEbCOgsAAx59f+iEIY4FJ/l/ILA6DmAGyDEEP/g8k/kfnXLcCs2XIWkHkGd2aRvpHWqn5092Xd126K52vgd2dczAl+BwROFsKbRhacX+rNMmWwoiptHPrmnJGfbopzCh5zswBflDE+e/ujxUAgljMS9dZbd9j/q1e9MPkoU56QGKLB2s1Jop9edNmdccDHf96UDTfn3rBmF2TWHUC0KyBu0FCfkk7Xvh2k9sW8fLAsJwDueGD3pwL4KDqfNyQBVGl8xqbvDkSDHj0C6C6WJajL8+7BUXI1JZ81CfaCcVBIQNAQqIzAYwNhI2DkAVUDIKyBzQJCBkDmAACDZcByvb+g/tls634WmZOAqDsCfcrJmDjnqt6dBjRReh743Vk3EvHLHUQrQ4ol0uSUYzn5WLEMCPDqjt3gf0qx4pI3q4wNNgvwB3x35v8jLmiPeLnmD+H/dAbD350/5gu7Vn/WzJFCoGOPyuqVmbUpW2tH/m7VAJbjfyKGvYjjcl2vuxkM5qP2Tsbe7+XV8lzxOD4LfkrvefhMJprK6wYUwB706j4wt3ueOwxyB9B6qsYf1ycdGRmwA2auzX1O/H/wGYOQIQizAccIuCAOsoCqqkIeQGUAMgQoSv8jsv+F0h8DVMt+kOc9TLPlckTaFZHWcp19/95L+nZ4FqN4hgcMmzUHOD+nMMY8Gvm+keWey3cuMSLc3fjAmAvKwG6HNtnkwG8YNusI4PQCEHemrKgWDvELDWl4miNyoGPF5JxUlXH7phyiMfr6DV8z9ezNQFCHGi6tNbr/PoPUXpzae7G838sHab1bkoug9CrgNdPz9Kp39wDf7tH3WKC3eQAvANtDeAj8NtUv/ory+x7oxb7uFu4P52/eXlGGwHnPMQIyHAizANcYiKpAhAFQk4CqAXDov1cRCHr/qLq/oP5VhNUtuQ2XgDPFuFU305fPvKb7qx1CEgAMGDrjNwRwVXncvkABAoZAlIfZqe/NH/14R8+n2P6bFPiDh83r3sJb3iAOX5HMJ2jhgMjUmfacQfwfiDD79QfGLNtUX3jULauPMbn5/1CMgiT6V219vzsypuik8+L5ArUvCHGAgrG8SN6VQ+tFDF8K8F5pLwx2v0cPAt3v3f2g9kbD6fnairL6ptGqPBvOcvMK9MHHAooYAjs0cJ2/3wg4w/mdpKAMA6IMQGn678v+u7G/nfgTLzvz70/82eDXU3pr88oLCfFgBpBDxq6d1cFOP5Eovu/NmaJe74p0Iqh+IOgPLnpiZzsIPqvpjvu+PnPTrf2wSYHfcNbMuUB2E0NhNZbA4iyFB4oh/o169Dq1cfrpzZsC+KNuWXNWnls/ZkCMofE3PVU3B8mwRHecKrm1s/aqEEfJ2DsS27CXl7RexvEyaSdj+LCHb1cy8cUA74Jd8ejCk3sgdwAeDW7/XEg9XZ4BMLMq4MXRPdDL++IZBedvAvc+71/j/7cAfLwBaMdqqI40AP4cgGcAoui/9P6y9Od4f0/4E5X1J8xrZq7lXM7z/0MEpKN+86wrez/QkefvoNEzerRvhH+QHPgafOCDWf3ghxVWO2L3NC0YPaoj57JFPP6As2aNJG7NLnniyrJOiNCoM2PoO/NHvltyvwQbnHfTqvEcaIwNEjSeSKdrHlaTeLHxvEUUFcv7kndBWm9WkZell0k7mbCLALxL5T3vroLd8+rOb1FAd98rE9gJLlvkpp5h8AyCagg8I+CahCJGIBgGqAZAlgOlKEiWAWX879B/mf0HjCr9hcHvSn6VuF8k/TKZjWdYnJ8sjsaQTZ99Rd9pHblO+w67d5Bp5v5O7tJmRY8VWNassMSZSIJr2mlL/zLqsY6cS9y+m8TjDxh2z+5kWq8DULekJ42IrYzggvceHPPnpPtGbT/yxlUXAPIxiMg1MOal0jUvFAd9MWovS3Re8k718h6t7zjgPc/eGvDorRDnvY18QSYCLZ1x8QCgTjlO3vACNvXwjjEIGoJaPxPoDANQiP+LeX/AWOqvCn6C4M+2DSHKiUk/ghTOuPfKvnd15BIO+O7008nCB8VSg5UeBwE+S1Wn93tr7rmdvkhpxSdV7MsMOHP6CwRgjycKUftgXTN4IJcKMQ0OX/qXsS9VetHEfufftPpMAn6ZoHGI2qzqqrp/JAF9FLW3a/KKl4+j9TJLH4rhfR7e792TgF2CPBrg3rtGuq6iGD+fbVGeDRX+zh2R7wSNQVIjoIYB0TkAWQVwfqr0P+j9oxJ/as1fCn6iMv7C87dnWr5OZI0SclvGtFvvuaLPgx15/hqGzrgWOE1WI90o5Z7vMwKhADKc3bhgzPkdOY+ofTsd+AOHzhjBieZUfKL2F8cFTQ+OOaviYwDAyJtWDSGyrkUSWm32l5qq+r+qoDc5OCq8QDwflbV3wOtl7Et5+bwto5W03o3hEwM+7NkF2P1Ad/4VC+7mcLrEqKqPNAT5jBhpH3jV24vwhl6eUfAMgvitmBFwwoF4FhBlAGQVwHATgD76H/D+/sy/Q/2js/6BuD/g+dsyzUcC8e8ScOEsfnHvFX1fqPQ5tOv6Z81cQERnlH2MCGUfY/idpQ+MebTsY5SxYacCf8DYh+th7eqlBLiTXFo5mMUnMTFVTLMoLL3s/O4usCaCrP8YWu0B78wfXrGqasyNqw7JI11PFqQYY09VV9c/XgC9BaRm7qUqT8hu1Xjen7VXqb1bkzeryJ+8C8bxXtKurV3+HuXhVSpfHthDQHcBHgdq8Rw0Q3k503pnxe1owEvjEDAIjiFIZgRqoNZLCCphgG0Aqp0ygGQAwgD443/P+/tif0X6axXKfH7qH5f0c8qCzoSf9vbmUzjwExApZxC7ZsaVff9ZBpYiNxGYoHWrXwHCfcQGJZ//CKUfMvw8VZXatzMpf+cC/8yZNzmqJeVVSrLoiwWQEOHYxgfHLqr0Qo+8dcNeYGVv5US1GuLL1VXd768M9E48r8ptmU7kL9F5sbzw8pLWC5pvn387QM79XU8BOYV0B/xtEA94v2cPePUYkKvA9hmAjRVeSSU7o7KBoGEo/M01BkE2EGQCaiggWEDYADigTgmhT6EM6CXxinl/m/orqj+P+lcA/kzz2Zzom4jUBlr6snsv6/5+hVcSBp4xczAhF8k+R9upFLnKjYUR4d7GB8eeV+k5BPfrNODvd+Y9++Qh/wYRGP4PKYV87++IeFPjg2OurPTLjbxu1Y5g8N8DYA8E7W2jKj0LqdYp2SXy9Aros1mIovayROfE8iVovSmUdMkBX/DsEWCXQC+AvABwD+mpqm4Vxffy+ucyG5Xnw7UE7g8JeNUQRBsBhwkkMQCm7giD4ui/4/292N/O/EdSf8BKwU/YquUy7aMAaD8AWt+WZz9a8NO+FQ/0HDBUqFe5aNopqtwL/V3ZHDXtiMYFndPI02nAbzhj+jMAcGwYtCULlzYBQmT/1PTawyodVjh68roeZp31O7L4DsjYh+l09TSgmrys0xeP6Z2OOofex4C+QO39Xl7G8tLLh2m9BLyot8usu0fpg949Duw+oAdAHg3w6MWB09XdI41Btn1DzLPQPXRLPYPgGYOgISjXCPgZAGChHFhTUwgF/PRfgNlRAwa9v0j8OdTfyfrLkl8i8CsxP2Cbkc20jQegPYGxz/UW7ZKZk3uur8QxiWGxVr7lNQKICywOAAAgAElEQVTav7hjDB7dww8CvtT40NjDK/n8TeLxBwyd9V2yzPn2wQN1ybAyCcFbKtlZUA4R28AwDmmcf15FmmmhmPqwdvVNnPgg4vBFTVXd7RxrBNG2xTmlQQ92fC+TeCFBTgD0/ox9OHmn0vqcrZuXtL48wEsvHga7g/gw0B2Qq6BeX9HjGX6kevTw3vOMg98Y+AxBN4BII+ALBcIsQBoAmQRMSTmwHf8DRnt/qf4DlIm/IPgF9fcEP07Sz7DjeWcWQGTMr4CfUVt1W2bjRYCwo8b0d/Zo7XNFpS29+wydfgjn8Aon0kWLoP0KNO2U4gOMsbOWPjhmQUfB32GPP3jCozXNK1cttbvcKnwxxIlLHxp7Z4W7w3k3fTGOxIxzgmY9VfcHnVVvkKAX4hwrJnuvluvCoI+O56OofbyX9+J4Pe3V2LMFz9/iZeSbm0EFvP27jfMosG8oCfJUjfd5lV5XsV+uLVy7DxsDzxBEGQEZDtgGIcIApBV9gJl1Ps8X/0d4/3DizwO/Sv1l3B8Ev6r0C4JfswDFWC/Z3GPy9u4833KxRVCvMb5g9hU73F3pNR1wxoxfEvH/jd2/iKDH8avYuONBu++ndrZWci4dBn7DmTOuA85/UmhDjNPkxp4d+1vTw2Ocmn8Fr/NuWHUoIdgXUmfpGZBOfyC19wVFngUUzN4nAb0Tz/uz9pHU3o3lS3v58gDv9+we2FVvXi7A09nyDEFWTKkv46UaBGkIHEYQNALdAFwWUMwAqDmAOO/vi/0LmX+H+gez/h0Bv6gI2HJfF/xC2w/Z7J4mz44BkX/m+MvZV/WtaELu4AmvGS0r3niNAA5wLnOpHJj/ZghGwBAvanxo7JQyblO8fenIzgcOm7VzW9b8QORSZXtx0GCFynkOtbfpPiCKa3zw0ofHVDRjfMTt63tiS/42IN5N0/RFLF23KAR6LUXSAPhLdnH03u/pJehDWfuIjL2g+F62PprWG9LzF/HwHuDDYC8G9HLBXek9L2YUpCGIMgIOC3DyAflUM0YbAMfgxBkAJ/sPKOSA9k8l819I9GmAXtwPWA74I2k/AwyKfAT4ebbl6HzePJppsJHq0j+ce1GPihR1g86adbCZN4WeXw/jpay7s0JP1e/17vzhFQs0y7Lucacy4PTpvyegH/r+XipIUbOUiLc1Pjz2R2V91cBGIq5fVr3mV0B8IDLto6pU3UxC4F7DjRDoyHn3QFF1+lL0Pgx6L553ynSyLt8GcV4+ROtjAJ+qUj2yA3jp2aPAXgrka8Evg0jX9iorw59tXet7JnpBr6K3J8oYqEYgzAIA4xiAqgeQ9D/S+yvUX5b9POqfFPzhUp/ujvQS4Je/C9qPBCyT2ziaE+yOgO/t3d77Z5XG+wNPn/4LTvTzUg4/BCcxKooANAa/WPrQuMmVYEfyjIr2FSODc22ZfwORfyBbKeYi/85wZb1R17Bk/vDo9HOJszr/prUjLW6eKeqsRrp6CoP6jcyN5f0CHSAzQpxTKeh98bxZQ46X9zL2Mpb3svUerZcyW5G0U2N4x8OX9u5RYFcBXhLcq0usL9GnT3GQK0YhyiAEjUAcCygwgGAI4Mb60gD4vb+M/WXmX2TwlbJftSjxOdl+QSOTeX4/+HUN0ZP3qi29gByau+Uy7WJ15Fpg7ME5V/S5txIACcrfvPLN94DTnv66fuBoMRJ3RGgxqqv3qnQuf8Uef8Dp028iostL1yWjvwhjbMzSh8bMrOSijb5x3UEm5H8iTt7Qqu5Fvf7D6Fq92nAD5C/ZCQWfM/gyKMyJ8/TRoC+WsXdB73r5aMCLbDwUvLtNYZXEXDGwh4AeAHZVXZ+yvHzcPci0rPY/HwHDINlBKSMQzAdk2x0QRxkAmQCMBr8j+/USfx0Hv6Pwczr9RHOP3fGn9vQr/fxS3cet9Xvmzfy54ktoYPx65pU9X6/kOR5wxt3DOaf7C6GvHfEHlKyBA/uUf4h3LHt43KRKPrsi4DecM7cPtmY+IqBws3bJs7Bj/JeXPjT28EqWFh72m7XdU2jdJDr/NI29yNL1L6hxvZrBF0MzxdryolSXt0RM79XpTfF7BaB3SnVBMY4Xz0tqL2N5n5fPCZ38RqUc51H6IJ0PAl549jigxwN8Vcm7UXyDvpF/LhiECEMQNAJRLEDkAdQQQBoAX/xf8P6OkYii/gXVn0393ZJfYs8fFPm4Lb42+AHlyr1qpt+J99uGWJZ5ODC2Mbcar5h/Q6/EzNXW8p8+/RUC+pp3oWNcfGEDta4PJmrGvksfHNWU9EZXBvzT774OOP1EfFhcDBJTpgRkyDUNv/begrEV6Z/Pv3H1xSanbzFky1m67l7DjetLZfBtoIfEOaUSeU5MLz29BL0az8dS+wgv78Xx8TG8CnhJ432AX70aooHugbymvq/f069I+Fj092/f1rxKeU7CxsA2BIoRiGICqgGIywHkMv74v7j3B/TV/CsEf1DkI2J64dmDNf5gpj9PwHh240gg2JUYvTTnyn5/SHiV7c0Hnjn9SG5RbCNQSR0MwLSmR8ZNSPrZiYG//4g5PbPNmY+cWxQJ/cA8Yf8pIcIdjRXSk3NvXjOIROnQ4jydrrmbaXVrvLg+OpkXLNvJttqk9L5i0Ae8vErr4yh9yLtHgt0BegHkCrjjcF7drXhJr31jdCnPZwfcf3jGwG8IooyAygLiDYCf/kvvv3nB7+/qk+CPTvaJOn9L72y+bRwi04Cx6+Zc3ruiATIN35n+KBA/1b6hJer4ob8DtBvp+l2SNrUlBv7AM+6ezC261j4BG/d2Wc75GfEKMIKsbqR3f2/BeYk1z/bCF1Wrr+eM76Rrxku63vP/YuN6XzLPK9t5oHcWnzRNILF4RamYXgW9lN1KTx9H7TMiS+8KcNTkncjUlwV4N173e/dVRYFeCthJvUJwe2kY4g2BZwSC4YBgAcUMgEr/1di/SrAApeU37wp8POrvJf1stV8Cz6/rYt+gvDes7otK9sl43zTXfdu08t9iwD7bs63PNZVk+QedNnNfk/E3gEgLefiibtQ1FAjXND087jdJ7m8i4H/j3Hu7rd8oYnvoGR+TBCcJuEYBUYw1+tPSh8f8IMkJym3Pv2XtqWbeHKbpbAOmus0wiPKidOdX5kUn89QMvmAAthjHleEmB31MPB+i9l4sH+Xlg5S+QOdD3l3x7K4rlx69XKDX9ixPvCOvdeu68kQ8IUPQHyCKCagsIM4A+Om/4v27dbMlwKL273n/uLgfMAn4ffJeTWTvnYU8Ba0vluxT4/08omFlNo4hzrvrhj7/nh/3qmhU1oDv3H0XEY0rjQ1/DsBO9iFbvtMhu++RRM2XCPgDvjP9SiJ+Q6Cv0HeuQQIgyQBjmDMQ93r74bHLS385/xYjrl/fk2n564lTOpUyHmJajw+CFD8o0vEn8wIZfJ/2HsgT58TH9I6nD4I+LmsvQR+dvJOg91H6CMCrNL4csPsA3lnLROzi3YtiBsFnBHzhQIAFuLkA1QAE6X/I+0eC35kBEE76lQd+y/X2EvyqtNef6Q/E+664x6vvC8q/fs9cLn+G6N/nPH313GuSC3uEGK49ay4DEs3I0nlGhNIxOhlkMLzxkQucfpkyXomA33DaXcuIYC9pc6JCktjPRKwoCSGOd94ta7/PLX6IBvCBke79SCmK78X1QIWeeiWDL4yC8PpiKWkhvc3Z/+4E0Pvi+Q3QnnU64SS1L8/Lu3Re8e5xnr0A9BIg757Q428o5fFdYxBnCIQRKIQDBRbgGIAk3r867UiAg1n/YNyfFPwpTVQAlMYe8W8zgwL8arJPeH1V01+M8ueza75jcb4nY+yfs6/s86cysBfapOG0u68DoJ/4cB/cKiabjgxfbHxk3BHlfm7ZwB94xowh3LSeL6U0Cn2wWBSQwARMNTQ+ev6/yz0xud15v1+7n5WxfsQQ82Sk5lSx9IY4ii/KeiJz73h7p9uuWDJPbbgRv0dl78v29Ll6UrP2caCP9/KlAT96CPT82l4wGgEGMXvxqeIvXmqDEn9nZezPCbIE8O6SD2Hm9EV+uWAlBkB6f0n9JfjFqYisf1zSr3zwq9p+Af6wtNcDfyDet9fhyxXEPSrlz/Bsd8znzuVEhlal/X72j3q9Xcbl820y8MxZvblpLgegahmclaqaqWU1puuHLn1o9JJyPrds4A849e57CejcSkYHAYNZTY9cMLqcE1K3GTaPtNS/V/2CgPpqeurllN7jtXIpfiGutxt0wsm8IOi9aTltoJtA6pQcfyLPT+9lEk+CXsbzUQm8aNCXBrzw7BcdCTvt1Q/EaqqBYlvSq7rJtl/56UY4/Nan4D9BJhBnAOK8fzT1l3G/U08SSb94z++U+mSd37RpfU1hqo/t7QuNPR741WSfLoU9hXi/NOW3zPWH5szcYYxwdXaPvj+fPxytpFd7wGl3TSOCCwpZlmQS+NmNj44razBnWcA/6IwZPdpM/jkARXiZ4mf23845S9ONQZWIDOyBmRzOZqCt01KpeRozzGB/vajPSx2+M2UnRqQTk8yzu+wKDTcC9FKG6yjyOgL6SGrvi+U90AtmH6T0NpV3afxNP4Q/aRrYawN01ZdlwT1X3AYX2ue3C0CsAYih/8USf07cXyn4PYWfp+0X4PdLe8PxvifuCdb3vRIfoC67+Hhet3K54Ra3ejId7q9kUOfA02fszy3rTW8mpT/iLzbDEhFzKazZ7e1HRpRUbpQF/IZT7/4+EP+jfUNDwqLiSiNEmNv46AXnJn1Yhapp5C1rfgkW78U047mUUdMkKb69mKXtyZ0sfjkUX43rxZBMhxE4cX3ObrvtCOjDSTwV9K21LnFTQF9TDwQrQPyvKODFdRMx+s9HwSuIspUz6dXcPNsTwTu/nAWH+nIEJQ2AA2bV+9e2elUFlfr7k35JPb8Cft1R+Xm6/lLxfjzlDwp7cvm2BjJzxxLT1tx7Re+fV6JOHXDa3c8R0dGV3DXG8BdLHyndvFMm8O/6FxEdZOPebaktTBAJnl0grY8a+1rjI+MS9y6fe8uab5JpnQvINqb03n/WtBwF5+ap3l5m8YMUX9ehsH6dKN15FF/87lflCYov22oj6/Ruyc5P7+NBr1L7qoyM2uK9vOrhJeDFz48AYPooeA8RvlrJw7AZ91k+ZiY0yJMsZgAK9D/o/asc0Edl/UXcXxr8wVKfQvsF4APSXgFcOcPPH+8LuW4Wi1F+n9c3c47iz0phzlzzPdEqntK1OTN/3PvvSa//gO/c/R2y+MOOo/XK4eKfper8yNhn5wweu2spPUFJ4IsJodw0PeCWHBWkNBkgvtH02DjbYCR52d7+xjU/AeD9dD31N12vboxM6LlCnWAW36fDD1F8IrEqbTnJPNlhZ+vu1Tq9ksgLxvShUl0Mtd8YUNGpoJdZeAF4+ZoxGoQqbPck13Fzbus+Fjbw1c8VRqBgACK8fzehFiyD+oc9v0f7wwk/QNnZ57X1xpX5nHjfyAuEVYEAfxzlL5bl99X2ectAK2d9G4CtvPfK3r9O6vWFWG3ua9OXAdAeYYFcgGEHCbdzI45teuyC54rd/5LA3/vUaVOQ4EKpywt1D0V/sK3kY4gXL33sAidESPAad8u6gzN583yG2Irp3vMMzHEZv4see3/N3uu6i8riexTfq9dHxfW5FJCawd8koG/rS0FqXwrw9c0OU7jtYnivKwLfFmx6z8DyH/0B9hbn21zv0fUQAwgYAOn922pET4C/7Ffc81cC/uLxfqG+H1ni8wt7CiO7lNq+8Pp5SjGeW3M2capJMZhdyVz+htPuuhQ43RrOoPm798LJdrFoF5ux7LFxYysG/uDTHq1p5itEUi/BGnjyKWCZNFTt9Nbjydf9+t6NKy5HYjtqjL2STtW9Gx6Y6fXY+xN6jlBHqvNUSW50vZ6onGSeMAJ2S22Fnj4ung+CXvXwEvDy5nU14EuFtnQItqNhsPwSF/jyvIMGIM77+6m/P+5PDH4DULb1qtLeYDuvmUd78Q4Z73v1fafEV8jyu6o+KexRE32h2r6b6MtkW/blxL+OyD+fe2X/mxP4PXtTWyW7of0/RIK8FBH0hA5s42/DTn31HV6YOSYT97lFPf6AU6d/l3Nrvq9f2B9yhJhIAfYIcxofHz8y6Rc+5zdr9kXGRzNk7bpev8AwjLxY5krQdyehlyKv3VZ4+5iafSKKTxSXwS+A3h5+6Sjyyqf30fF8MS8fBLxz/d6H2y7eq0t4fAFwtSvDHaEmb/PyS//4/t4Ae4VuuzQAxbx/VNwvk36lwG+LfFSFXxHwp3IYoekvTvmjavte777TvisMg4z78/m8Yeaah5pkVms1NTPm/LA+cQNPw6l3/QGIfBL3OGWsbJ2RF54x9t2lj46LXfK7KPAbTrlrJhD51+gODQmLnpvPEI5a+tj4xOuOjbxp7Q/IsnbVDOOfhl79Tjnlu/iEHpBQ58ksvkrxw403jhw3iuI7yTxPhivEOUE1XiGRV4jpywO99PJhwDsLt/TeYS8bZ9cOg6VbguoXQB4CvEPxbeDbwyNsg7D8+gcc1K/54n332fIbAdUARHn/SsDvU/h16xao8ZeO98MlPifLb+XBXagjnOgrp7yXN3P7WvnsIaix5fde0StxyGuX9kzzTZ8VLVHXl4YBABc0PX5B7PqTscC3Ewz/uPsLQOpbXDocsRYewvtNj13QkDSpcd5N63fnljkBhK7f6PWgYUCkt/eX7xxZblxCLzqLH6T4QF0N9BLw8qZvCeAXGi6V5ku/t3fOzga9+A+D5df/xe/uHQPQtcBvGmJ8lzO8U4zvUil/MMtfLNFXGNRpK/qivD4YVn7tmZZlpQHozrnX9P8wKQNuOHmaWGuiwcuxFSf+hd4YxNYd+2p94uh+LPD3OW3aN02LXi41Cijmi1zT9MT4RG2C4jjn3bhmmAV0kK6x9wy99vVi3l4t3wVluaUSep63L4PiF+J6f9kuPnvfEU/v9/LimrzjEsR5124ej68m6wrxu3uTPe+uxpwAXExOFl4fYfl5/89B+b6DvCcjyvt3puePKvMVMv1lUv4oYU95iT5P0Rcl6snkmg8iC/bRCF+ffU3vspto5NUbcMpdvyKinyY1GGJ7jcEp7z02/omofWOB33DKtOv+O7jqJ6UmgIT+LibspKt2SdpzP2Qy6TtVr71GjNFjercn0zrfWMjkK7F9KW9fLKHnCXWAxBQdNYvv9NU7clw1mSdHZcXF9bY4p4QwJy6J56f37xdovQr4njs6IfXUCSAs/yYv54WSdtKbK0+PmtCTCjOb7iMs/9FdsKfYdN3nToIubAA8758M/P6EnxT5RJX5Qk09AfAHS3wFSa8i7IlK9HkdfI6iz2nddWf2RXh9keHPmqwbz284CRBzDe29rp88Gc0kIB508oyD8pT/l9TNlJTMKwdHxKmNj1/gKCkDr3jgnzTtDQI6oKRgJ3hAxJcbH7/gW0m+nNh25G/WHWiBOVRHti5VVfdssG4fJ9aJ8vZej31Ezd7W4fuFOqXi+qKgB1s3bmMhKnuvgn6d2yUXFc9Lai89vAS8vI6bGvhq0k56fec9Gcq5tJ48Mama2JN1/B/d7QBfvoIGoBj17ym7ApVyX2S23xX5lAR/0Xhf1fMLyq/O7ItI9BUt74W9vlrXz2VajuUEPRHYgnuv7vlGUmzsfdK0Zf9dLTecMY0S9CgCO0T8bOlj43aJCrkjgT/o1Fm7mVbuY/sEiytyIybw4E+bFo7/ddIvN+KG1ecB4B7I6M2qVP2yYN0+LpPvGASnzTbW25vVJObgBxN6UTr8cOnOaa+NS+b5FHmBOn1p0PupvQB9EPCbEviq5xafE/y3/Z6LaPFTmAD1ZW/vGgcn0wfLL5nhB75qAKT3L0b9i4HfV+evAozL9HvJPqWbL5by+4U9gvKbuiPnLV7ec7T+ci0+X4Y/WNfPte1tcn6ABuzD2Vf1nJ0UGwNPvft6bllXy3vkb4sPr0WpTsRC1L7W+ERYORsJ/IZT7roIOLd7iqNz9t6pB3MAaMCBjY+M92ciS3zTYX9aWVfVDJeAzoAZ3RamNCMTmqyjqPRkaU+04Jp2GOAMzbTjfne5q7wR9PZeQi+nDNVQvX2pen3RuL4I6IUST2TvS1H7KNDv1ODg8dohICapdgrV93l3997I+F3eKuntZcZeGgHBAEVMX9jO9Q52yAe4/KYXYQ/x1mdN4Sk+wvuXQ/3LAX9cmc+L9yPEPTb4w1n+lOFKeX2JvuJeX5XyxtX1pdfPWfkqnl1/EnCATD38bv73+yVaAWfgKdMGcwJHPVuqnhcALDH42bLHx18XhGAk8AecfNcTRHSSs3Ep6CtGAOGTxicmfCWpRTv/t2sOs3J0NCKuSKfr/q4m9cIqPa9ur2byy/f24YSeKslVS3dRFD+ubLdihddsExXTx4E+jtpLwMNfnat57bUdA75K331e2y3TOQTeeRxCRkB5z5fVV+J/NyRYfvOvHeCDuxpi0ACUov4i7o+T+dq0X5H3BsEfG+9HUP6gsEet7Zfy+v5Y3+/1/Wo+r3Mvm235JhH211K06J5Le7+cFCMNJ0/7kIh2DwllFVIujhn8OyIuanxi/DElgS/UehvzX6xBlC24/kOFk32eEUKE2xufmPD9pF/q3N+sGs9Q60Na6rXqqtrP/IKdsErPX7ev3NvHJfSc3vpoii877YJxvdTedxroXcDLa1kp8D067j0Vfm+uAt4z9E6JzhmkGmYDwTjffeQIlt9yvQt8eeJHhr1/R8DvafvdZF+ReL8cyi8TfZvC66uCnvZM605kZQ61yFz956t3mJYUIwNOnnYjEV1RapHNMCHAzJ6wc4+FC0/Oqp8Z8vgDTpp2NAGItkCHxAWUesUWwUTUTm5aOG5hki915k3N/arN/BiNWSamuz2T1lOWup59WUk9RaXnk+aGYnvP2ydJ6MVRfJnMUxtualsdai7pvfjd8/Ze5j4qng96eXkdBw0CGjYMliWh+oXaunuQUDyuvK8CWy3hyWfAofukDFJ2/u1nCPYqMMsXPgy7v/tugOYX8f7+uN/JX0Vl+1trvWOq4C+H8ktVn394h0r5nURfOV5frev71XxOhj88ktvx+lkzp1F2/XEWN/R23Zjx4BX1K5PgZNDJ079hcvPvQZceAfRCB59zfAKmYUhMFwb+KXdeRRb8Rl7m0IFjxv0iQtuO/Y3exfTBUV/0/FvWHZXP576GmvFJdar27aiknr1SjgWUFQtiuNJdqckXbbf+un15sX3F3l5V5sXE9RWDPuDlBeDFNRPF33llAD+KzhcV3LjKO5mncfb3e3j//g7YnUSf4+WlAXCNx/Lxj8Duw9wbHWUAoqh/WeCPyPTLZJ8Ef1SWvzO9vr+u7yy8ISbzyqm8hfl8srQXSPLlrNb9zBzfzTC0V+/5cc/nkwB/2LB52pstG9YRkJjkUPaq9GJTDeGXSxdOuLaox284cdoDADRUblRu3RABH258cvwZSb6M2PbcG1aPAsA+KaPmNT1VtTouqRcr2OlEb5/KORRfrlQrMvnS2/spviPSiYrro0EvpLcOVqJietvTK6CXgJegFz/LBb6XmXdBahvqiPg9Qo2n5Oxcei/2leB2ga7I+QoswHYfwiDA8gmPOAlICX7xu88ABKh/mPZ7nj3k+YPgV+P9CMofEvakADeX11ebd2SSz8xl+uTybYcC0Oo5V/WZlRQrDSdNe5qIHycNtXPVA2vtRSUBGP6t6YnxLu9yPjXk8RtOmrYciJShysVPT8b8iHRR48KJU5J8mZNuo3TP1rUXaYyToVc/r6VrzWia72/GCZfwwpr8wuBMt26vZvKjvT1RXANOMKEXpPhJ43o1ex8H+qDEKwr4fg/vldu8PIxaonPBr+rrCzG8NA4KuO0YzzMavnBAjf1dhuDYA1w+8VF/5SHS+0eAP8rrS9ofl+wrRvnjEn35FDoz+mNEPV6sH6zrO336UsPv79wLl/ZEki+o5LOyrXo2234UIcN1tb1uX/hD9MXdpbDTcOK0a/97R4oujR1MxTsAx9YD67t3nz9/eGEGoA/4+wydvaPZ2vaZ2o0XPJk4QY+m64PfeyzZenijf79h73xr7hTScX11uv61OKVeqPW2aAnPmawTpdJT6/bBTL709lE1e786bxXUlKD4xTL4lYB+32FA14oWPaWcF6T1MoZ3GmdcwCvAdqI9pRbvUgP1vYIgx63ZqwbE3l9SfCUccPZxfQjB8tuq4KvvzPc7lE4Ff0cpf4TX92f4nbp+UM3nzOdThnUogh5R2gu17MYo+drbmg9Foh6Gnnp85pXdRd6m7FfDiXcdA8CflfdF3hN/92ygru8eXdPY/u89fkFh8q8P+ANOufs7ZFoPFxIIkhP4Yorgkln2ITL1Xzmk25I7D82X/S2ENv+m9Udzon0Zah9VVdd/2BGaH9eB543TUhtxwtJckckvp3wX5+2TxvVRnj7o5QXg5fUUwBflHLl0WUFa694b79/u/XFLbT5JbUGIrxiBQOZegls+TIXjKgIfGed7zwmCmGzOAG3gy3OOMgClaH/SeD+51w+LeuqgzmYAIsNfaOBxx3RFd+75p/TEJfmi6H6mvXkPTtZXNYK377kqWZw/aNi8OrNlw3qx1Ja8xuVK6pHh2MYnxs+Q+/mBf8K0XxHST4talEBMIR4shuzlxifHJ5fp3rDqXETswYzU6ymjfn1xmu914QkG4M3Sc0Q7cjUcb6SWI9iRk3WKeXvZctuehZBCr6S3D2Txo7x9bAbfjevVJJ68MSro4Rd2Hf99IthdLbNJi1/IrvvUd16M7z0kzm+q1NYT4zhUISZp5+wn8wXSHAkxD1c8PsDyP94AXwUljVQU/DGlPgH+oLQ3WN+XWf7g9J7iiT7AuAx/2OsHO/e8qbzObD6lZdftw1f1+0LJF0X3c/nmHjyfO4gRrZ91Vd85SRyl2HbvE6cuQQCa8eAAACAASURBVIJDCrcgGOOHdDdO0I+M3dG4cPykSOA3nHDn0wR0nE8SGMrihzW8yOD3jQsnXJLkSwy7lKrTO64bDdzieqrbSwYAtxV57mgtIdGV2fxIpV4gqdcO7fbkXb3MEl450lwZ25eq2XfE25cDenFdf34tvM857K5WW1QQFzy1zLq7kxl8HXVu1t6j7V6t1pepDyTwnO3du+seVxoMyfRdg7H8Tze6Hj8G/CHaX2a8XyzRF1Xbl3JeNdaPz/CXV9or1rIbqeSLyO7nAZiZ2/gtDhrrn+o587eXYXsS3DSceOdtQHCxl70J6GwKvRXShDvJPwZsSeNT4w8NAV8MuBxw4l1rAXgP/9p4xQU84kAMcGTj0xMSWa+zb9nYwPLmUYzY+pr67m/717f3RDtx2XxVqafS/LKSejkio6qe4lR6vkx+sfKd6+3DzTfx9fpSFL/g6X/hfxz+91poIoI9fXJbJZMTKrvJpJvM/BYGaQTENy5f9zy9RLkizS3E9MHpOy6DkHSA4Ue33xDQ6rsGQPX8AvwdofxS0pvE66tS3qDXFwk/uQ5fWNATl+TzxnP5l96Sc/mcmr6k++oY7rbmDftx5D24oT9//4+7CSl22a8BJ9w5nBPdH7dYdTgHJ5O6lD2wvmetTPAVqP4+p87Y28rnm0IxQ9DjRzTtaEaq4b3HxiRKVIy5dd2RZo43AOifVNV1+1SN7z3Rjszml6L5Xu2+3KSeAL03Qy+s0is3k9+Z3j4O9OKp+Nm1sJBbdHyUks72vsEsvPIoFby+L56XIJZ1ewXEvlbcQK2+WBkQ8bkpN8Lxoac4AP5N7fWLSXmDXt9ehru+HoSGv3SSz9PvV0L3ZVkv07JxFwBzNz3FmmZc1jOg3ihuAw48ddbO7bnMp7HL1BdpqlNxWgD+wBOnDeWcP1CBMmhd45MTeiedtjPiulXfA53VpnT9HSPdrVnG98IAqDTfJ9qR2fyKaX4wqRcu4ZVdty8S26s1+1JZfDWhVxT4P4PvWQBz5P3x1+vFwyLHX3kiG8f6u4k8laornXYqxfdCB0ntnadIZRmeaMej/4VDMzx/yg0QZn4d9vr+2r5a3vN5/bLr+k6sHyzteUm+eCVfKbpfXMzjqPjy2Y31ppXbz7RY85+v6X1/2e7e3bDhhKmfEMGu9l0PrHMRdNzqsRnD0xufnPCI87TIg51452XA6ZaoOqCa1A+eJAI83fj0xBOSnPzoyVSVT68dQRrxcBkvWpvv67tXgN9ZNL/NFu8AFKP5QT1+R719uaC/9lrn3PIcLiGA/+WceqqqOcm0nUBc8dBSZit11z7VnUrbVTWebMvyvyc/wy/ycZ4gBFwPBNf1q4VbxHa/+EVYHyITfrGUv5Ni/VJqvpoUoFiKq7PofpyEN6pjT2r3heLPLutpyIy2XnNnTsbYabhRuBK5OCA6Tt6T4jk57wiIeHXjUxNuCAL/NuJ0can2++CJEOINy56aYPcKl/s6/1fLdza1uuNYSm+uTtctLaeMF+7EqzybXy7NV5N6xVR6aia/Q94+ENeL6ylBH7i2O2bF6g8JXvaTlYNJQHC5T8kHBBrDbxKHVeUeTlWdMAsyfWrg8+C+ceCvPNaP8fqRaj6vgaecJF9xul86uy/EPOGOPU+7H1XWa8ts2AcsqtXyLc/e87Nd/1PutRfbDTjhzimcyJ6sUwqvqiNHgFlNT0+0F68tePwBx099hABOCwE7WLYPlAs01CYufXr8nUlOfNSta/bN5+kQXTNWp6u6fVI6vvfm5Udr8z3RTtQ8veie+wQ0PyjY6WBST2Tyy/H2MaBPcql9227IwVVEcL1svpEUPV2FO9Y6y/h16isE/lKUP6HXL5nkKyrjjaL7JbL77pQeKeYppd13mnb8ZT0Z52czG3czLd7HMPg/Z13W+50kF37g8XdezolusvcpgXyV+iPCP5qevvAbQeC/SQD7h06gBPdnBCcsfWbi00lOfNSNaw+3mPZVnfh/jOoeqzoS3+fk4pdKGS8o2glKdJNk80sJdsqp25eVyS/f2ye51CHgc07XB8OBqs0FfJvCAFTi9YvW9RWvHyXoUZt3YrP7ERLeKDFP1HQele5LFZ9vuS1fWc+N89tb+uZ4fmcD4aNZV/YSy5+X/Wo47s4zAWmB2KGUgCdw0JVNT0+0l1n3Yvzjp24kovpSov/gB2kGG7D0iQmJShLn/mblSQDYM1VV+4HOtZZS9fuk8X1J0U4OKK7nPqp2Xx7NL6+EF6zbxyX0Otvbi5u9Tnh8DtfbVL8g2QWort40Hl98Zimv35EMfyHJ10G6X5UCzGeai2T3o2bySe1+vIqvEOdH1PNNy6rLQWZPsMx1c67ul6iVfcCJ0w4gzp3ZfQHHHLmkVgHoSHvqu1aL3nwb+PuecFevPLfWOMeJmJPvvhc2SUg77WzUJG3FHXHzuqGco1Fl6I0GGXlvlZxy6/dxTTlCredN0BVqvWKjtVSJbmw2f3PQ/IC33xSgt4Gfgas40fVSzy95ogB+HeIXQstRtttJsGEU+Dsryddxuh+U8Abpvqfd9+bvSxWfv2mn3Hq+MAh5zBv5vDmAGOXnXt7T9t7lvg44/p7aDLXb47uS4RUgpcNeby+c+IF9o/c5YeohFoclUR8cPLC6DSJ+3vT0xJ3KPWGx3eCpZOyzbsOZwDSruqb8xF60TFfU78uJ7xOW8QKinSTZ/KA8txjN31zeXpZaV7fT1UR0ve3sFY0/1uCO/RC/kPexsw1AOV6/HEGPSvdLKfmKZfeDdD9RWS8izo+W70YLeSCVEgpT5AywtbVlACNLf69n9weXTMREfS4Nx935BQD1D4/GKy64Yxoe3fjUxOdt4O997B2i/95eZys4cSc84UMdtYUvNz49MZFGf8T163uylHY0csoFG3OihTuCBYiBmmlbny8HavpWyKkwvg9q85OKdpJm88uh+Z3p7YPaCgF8O8Yv9M87+X0WAP6mMAA+8HdI0FM6u19u4051OlDWSxDnh+r5dreet9SWrOcXS/CJhh1imOI5a9Hca3qsS+JAG46b+iIRhbAXq9yTsR3TRjU9Nf4e+xFoOO6Oy/47IcquwZaa6eWLKRDua3rmwhFJTvj8W9t2tqzs1xGNFjFfT03s5SAHzJ6mqyr2JPAFjXfXwRM99gaQSOz51sOL6b0vtwW3ZHy/KbL5m4Dmx4mpbOATXS/7auyfCMAId+xX53n84P3sDAaw2em+LeYps6wX06obJd9Vu/XU8dtxCT4V+ClIgfD0luUk+NraNuwMSLXA+atzrur9aRIcNRx7hxjkcX5SwR1D/MnSpydc7wD/2Km3/ndp3UsjcgWhc/ERCYTrm5658CdJTlj04JuZ/L4609YXy+jLuL8zE3vJ6vcRffdlAP+zdV4rbdJsfmd4+2IKypXS4/um4wLoUBz49nPRCfF/0Osnye7v1NMBcRTdLyfO75x6frxuv6SQJyazb/JsD72q7p2ZP6pKJHlvOHaqPZQjqeAOEG9pembi5a7HnzoNiC4oB8DqBzGESY3PXHhHOfvJbUb9Jrsv17J7MB3Wpii93tRTpGlAQaluFPCLN+aE23ArSuyVGd8nLeNtDppfSjb9RQtdTaAm95ywzcDSwO8M8HcG3U9S1is/zi8nwRcn5BEJvviGnejMvpjVl8McZntwE3pBzvz37J/2KgzJKAdPA46f+kPi9PtSwA+G6oA4fdmzE8dJqj+XOJwTHeNTQQ/s/N2b8MFQG7H0mfH3lXOicpvRN647KK/RLtVQtRpRa64so+/vv49rzKlIuOMCP0n9vhy1XqRopxNpfinQi+svgM+BHAGP0rabQlaU6qv3tyOev/PofmVxfrF6vj/BF5/ZB6gRmXE0xRgueypPxgU+oFTwlRrMIaW7RFZ9O2T6GBZ+OvPKnq8nwdGAY+8cy8m6O/ESd4APNT478Uwb+AOOveMhIjg9iuqHhEHKG6hpZzQ+Nf7hJCd87s0bvgZg9TFAW22wqrZSwJfz9cKDN5Jn9IPCnWL6/PKBH12///VIOKgmDZcCOf3patus+LcVfEOW1pXuN7Ed5+GrK3aVu8s/qxp6P1Cdf9n7EOwMQLu5vzvvix0Zew04uVllZ5qON9zDS//bnxno8/c6AwutOkAieeCMf3CP5Z1DQTriNvLL8xbfo2CPCMgi+qQtw3434wn4p9hbXYUnSPej6vmlhDzimJG6fTfBV7Rhp4OZfQn8PDNr8ma2D+ja6jmXdH81CY4ajrnjbAL4c5JkvOu4/9r4zMQhbow/5RkAPLbwhBRR/fsFPNpxy56b8GySEx59w4Zv5gi6V3evXqnnjaxI6ImSHNOja/gq8MNjtP2DN2IVe6H+e6LgbL2SiT2x4OWnAOX03l83Eg6sS8Nii1Pavjbu3bEn1oaGXLhNNTa+3MYY2yGrS1V5k259TTLuhQ++583jUwCsCHbk/VLn9qmU0d/Ga3+BwiCOqIm9ztw+Z7vwgE51ZHfBADmbKsbPORd1CpB9vFxrBv9HgL8Y8MWWdpxfoZAnl0EEZbWdYH9+nIKvuHRXDuAMa/Zlb75p5NPtG9r7pauM9TMuqXklCY72OXbqKRbRY6E6fqhbz6vUuY/iW03PXniAA/xjprwIgHZpoFjd3rm13jhfprHDlz494aUkJ3zebzYeYSKrrq5OrTTAyFvafxfjzuWgnB78ikt5CvDjhmr6gR8xPjtBYu/WcXA3cBKLgHpeNTigUnrt4JCLWIB6RsPfJusCqDBkM7C6rfSkgj2I9e0KBsXT6kjqL1t41VFeBVYgjZZyvs59dwyU9BWFsX4FcWBw9n6Y/bgEwb1Wrv2Q1wFh7pQFzG4sSZzgC7TpFk3wKZn9JMCvhmqwab/uANwu6ZUxikvU8vMARnt7az9d4+2zL++2OAmOBp44bQg3redDk7ZKH+SjpucutJfigoZj7nidgA4MAjvKEKjAN3TjoHeeGpdo2d/RN7Z/mzRIGRpbpbGUWRz4SilPWRQzbrUcW7WnLIgpNPq+Ul7ZUt3kwFeFO7eMgacBaIgKfM+5uQCW3q1A8RUjURiCo4C9cEP97ykEwvW2zoaqNy/8WzplxbioDKQAcglupZ/fi1XUtl+5zp7LCmTooDgHdQWeAitwDxYyYIFqg2NMcPGUB/Fo8QnS65ed2U8C/AxglHTXV9JTBnBGavYjJu8KzX5cLd/iOT1v8b5oQW7mldX/Vxqz3hYDjrvjUM7p1aDEPuS4A9k/xuCzxmcn7SzLecuAyF6/KCz6V2KvwJkZurH3O09d4Kz1XOZr7M35I3Jk6noVW5OmlFU28Dujhp8E+IpUV87NL9Z/7wP+KHgaGAzxD7lw7oBvpdlCWOxRfEmBZezm86CSHkexAgm64Eo4hak7rkEoLIUVUHgFQFuYpOt6dXXFHHnaIWPmPgOStntzAD0vHzk6zDfxx2+0OKfFdz6ilQR+MM4PDeFUltWOm8NXEvg5R7PfkVq+nLUvPH4Wc5qZ4b11Aisp8BuOnzoQLHqvNF799xkBVzc+N7Gvm9yb8h/OwZbehpN5ocXzPN/DjJ0bnxn3WZmYtzcbeePGbyMYLJWuWqMj8I4CP2rGXtRE3bgafjka/SDwS5Xybh4FzwDCkdLb2fQa4N3VORgirkFtnevymr0rV+csjNSh18Zie7ufxQGe5ET20EX5gYzhvgZBorXcxP7K6Zd93q2typCOOme3dve9WqRnCWl/yWLsJCTHxXc+Eu/x7fNQV9h14/wo4NvX3v0sAX4h3S13FFfcQhtJRTwq8E0Clstmeps8b913dTKqv9/x03fNmtlPQln9QP0u4PABGWxsenZSd0eye8wd6xGge5THL3ZHuzHWY8mzEzeUfdfFLP2b248AyENVVf260uO0S6v2VODHdeUFJ+rGNudUUMOPKuXdKDy+TfWll7UTV29NeBgOFu/YGv0OlvLKKd9F3ZePNtJLxPlhqteu09kO/euwon78pOW9YiW9nwyhVzmRfY0c8Is4iIWAL/6y5ovySnodqeVHj9z2i3gqBb5U72UyzT0BDJh9eXWiGH//U+b0zLRvXJsU+ACYWbbowmrH4x99R46ADOdBCfr8oM3wHqf6vVhqyZ0TEzUXjLyl7VvETKxR5uhL8Q7knEUx1cm6jk7fL9eNG7fVVYB/w/nwNCINcVJeBc/61sRHtjzw/72BXiKgw7y2XBL60R326ALAv3oIvQpEB/uX68LF0wIevysB38nsu8m9vAgFMvY0HrUvX8b4kEqD7jboFGS7+eYeyHW698c1iZLkgydMNZrf57mQR1c6dSPxjMSbnpukyeSeSdxdnSOA+5AZUCbyHNSnt66ux1WO5z/nprbDAEyoq67fWOkAjjDwiy+esbk9vgA+COArsTgidhngc+KHqXG4ZnQN4F91JL1KxA/2kqLC8+Piux/1U/0tC/w2jG7P9ffllzuQo6W9uZsB1XDPFcbL5eBHbiNWz31jzRozuE9Yqee3BIhoNT13oe5Q/aOmtCFCtaRYhdmMEd166gf17t275uX5wxMtCDDu1rav5/MA6drq1jjg2/P1xJLYVjTV3xqATwBDZH3b8fv41oWPbnmP//56LjzLYd5gTgDNwC7h8a8UwOd0cCGxKRKRHBZPf8yf3NuagA+QhljZLgPMtrbXsrROMy9JJRLwHDZsXvWaNWvainXPRhkSImhf9vykGunx1wMnO8Yv1e2jHqybljzGH3F9bnDKyDOjqqZtWwX+rwXVd8t5ylp0b03qEsCnl0h4fPdmi/MzUl3D41/5bf4qARzsEwlxXDz9sa3X45cCfj7TVpPLG3zuNanIeRhxLGDwsVO7N3O+PgT8ANUPCXwY29D03IU9XI9/+0oA7Bsd4cdP5KmtSvf718KxZU9nFccf/duWg4ihltJqMtsq1b9OUH1SknuO1vWt7z++5T3+srX8JUI6TC3XdRXgX/FtepWADraz+YU4iS2esRUDv9TsvZzVVoX/XUVz5qV1ibT6Bxw/pV97nlYEPXVQwhsazYWwctmiSf0dj3/0lE/B1nGXfqnJBETYpWnRpESjgUff2rI/YEozDCMfBP62kty77jwnqy8T044UF976QVcA/np6iXPuAR8RUqmuQfUvP4K/Sgi+5B4nWjyrS1H98lpzy03u5fMicCVr5mXpt0qjz9vigJOm7ZLJmMtDMX6J0XkE8Omy5yft6gB/yO0fAuLuTozv78YLHlgtH6SQ7fX2ookfJDnh836b3Yc4pqrThrmtlvN+JYHvq8xjlwD+0rVKjO+KfdLprkH1LzuCizi3QPWdMIktvqdLefzOLee1Z/N6FaPcXZem30uCo/2OnrpnjrhYOj22ezb6ePRh0/MX7elQ/SFT3kKE/ewNS2QL1A9iBvta4zMXvpbkhMf+lvbglKs1Uile1jz9mGWz5PSdrijg+eW58DRK5Z4LfgR86+InFKovLppSy69kCEcltXwJ/IKqkACqqioDftIavv2V1VV2AiO4Lj1CZvWVxh6Cxfc8Hq/cE8fcWgU8GQaIuRxjVanW6Rfhh0lwJCS7ZIrrVRz4YUeOby97YdL+LtW/46/E+f/YkWiJtbh8TTqonbj0+QlPJTnhETfTV1IMuhliChEH6qhyD9oBcobo0gMSi2l0mla/A5LdXwjgi+SerwMN3/phFwD+eyLG53SYOnevuqsA/3AnuSeZp9utuHh2EeDHDd3cGiS7DvCB5VKwce4P8OMkOBp41JQTLKInS6luQkpcxv7WtOjCI12qP2UBAZ1Zzgf7gM9wxNJFFyYaxDHhd+27tVlaz7RuWIkku1tRk84vRjh1fEmgnG5VfOuSTga+a6gTSX1t4BMcVlhNhwBqqpN7/Eq8fSmPf4kLfF/rMqfF9y4srdWPHL/VxZt0hGQ3a+a1Gs1ad+cl1Z+Ugz+5zcCjbh9hEcwpCfyAIweCB5temDRUAn8aQPLRW8jw4qZFk/6Y5IQvvJV2ziD0BR2sNEGJJp00BfvxNXfQZju023V+vZwJu5u5LXeyC/yCAs0F/qVdAPjvruEvcRJZfa8ZprYCj79pgO9Idn0NQQSL57rA39bacrMIGpigVRGsuuMyTJQkH3j0HRdzzm8rVccPK/vwrqYXJo13Yvwjp9yASFdGhfjh5J7arYeTm16YFLH4U7wpuOB31D/L87saupE3APLb4iCOn4+QdXw5eMKecvPWZS7wxdUJ6vUrifHlVU4S67+9xqX6SpMOVrMd9k8g2a0U9FEeXx24ebHw+IqAx3ke2eK5C/HobXEQh+jHz5t5Q0vnPp35/brCugblONKBR0+ZzDldW1qy6z8aAdyw7IWLrna0+kdNuZJzcpbPDTTjFbMoiDi18flJ9qqd5b4mXU89W6o3NgAnqwqq27fF0VsC+LJJx6lJ27mTty5b6MSvUcAX720O8L+1hl4CtUlH2KSa8oHfaaC3v7B/Hb2LDxfKPUeyq3j9xfct1IoCf2sdvZXTzCpOpl7X3q1pyjWYaK7+gCFT7uBEE0vhNbjgxn+nel/Z+NeLbrKBP/DoKaO5RTNsC1u6DuiJ+xCebHrhopPKBb3Y7rybqBah+QCDk8WMqtZSwFfHaztTdsPLY3e1YZv/ew45bbleId/uzvvxJgD+h+tg1xzCWCA+AAjtRqvCHD7nhnoaD+efR3FOveSf7HuH+DgQZLi9J3OPIH4Ko8VB9HKKyhoCLSfOHh28A7xQ6p7/fQWcBsSP40Q7qsckZYigN07Q+UxOYvwbdVfHcAHiaiL6m6OBElOERKuu0torzhHx49ZWdvf/vQ0ftIoRXABQauZe8dV0Ns+wTQ5Wbd4yNYL6N2dfga2lrqn69wFDbl9IBCeWwmvwmEzDMUsXTZrpdudNOZpb/Dnn2nqjtco4kfea/nrRoDK2K2wyZPLz+s7dB38DOVA1pjdsDeO1rxkOw9Mp+CECDECAlG8Qhbf+ZKG/nQg06Rm9sVZ22cWUHXsFgNr7O+gkeyf8lIg/jj3Yz/YAKNpiv3QDHEIWvQBEdep6eHICXoFt2GO33FsQnHXnWgA1Q1j4fu65iWfCGSAiuw3Z1V/fAW6Mu+9//4L/njhcbH++990KJxCc2+e7nu4XUc9BziKUnxd9/XFjLs9Of3QR/EMCvyMtuWJUQN4ANLOAYuZeyh7CEd+gY+UzkVN2i43Xbs5Z3bW0ibmd6/8+fzhaSXDUMORP7xHBwPAEHp+dDx2SaXhM46JJi+w7aYsBLMuepFNqdI//SNi27G8X1SY5YbHtOb/deBhYoInWXI7Ay52rr66kk7Q1F5qboZIFNSaNheE1aZrueD9vHpzz8Hlg8IBRALE3gNLdUq2pSjLgeDL/OC1xMwHgmb164AnFru27a+hZADpaLRvK0Mw3x849iNotqCyY63wTdVJPYdKP04rp7ScvAOS0Orbz4HqwF1pVX698AftYnL+jjtxy/u6NHCtUFAo7BkeMuROJAscOXX/X6Aq660z7Ze88+BT7eiWlvHyqGasysJlWzAVkIqPf2tzTqgbzvku7JerME5dl7yP/1AYA1aUcdbCOn9Z1W3RnP2GDhs1LmStXiy47h98pr1ICAUCtb9MLE1cnAf+om1sHc56rM6p6rCeAvAR+V1xC69Kh8DcEOqQweTbiYVSNgKczd7yjNA/e/qrndKxJYfquvYsHAs1g++9ZB+/EXdv31sJ6TrybA1yP0oe8Nzn0X5Z+CtsrCT5/D7wLeHn+AmCFZI8LY8aO+Xp/eD54bi99DiM5t+5xsC6n7qqz+dzvGGACqhcvzBH0XT/vWvqfT3fegTgAw9YHn2L9bOB38SW0UAzabGnpkUqxllmX1yZq0BE6/UxW6PSjRuV5615EPDdc79en+t35w3OFp7Phf/70HwJn/Jb6KiXoMTT9m+8+PzHRaOALbsjukwO+g25ozYZutJUn4tkyi2ZeNhQ+J6J6NVR25sZ5nt2bNS9hLsIl+bB7iaqCIbDB7j7IBQrueTnbiott/n973wFmRXX2/54zt2wFdlk6iIosiN1FEUHFaCxRE5VgIvaYaKRZEr8kpnyY5DNfvhSVotGYGGNJhL8lGgtWVIqoi11hsVKWvsv2vffOnPPPe86cmTPtlt2lxDCPj+ydOdPOnN/bi0G/Pro3RLZQfn/7v+y6PhE+jAD4CYEY43B4LyHSAe4V04lTEhv3G2Ccc/QgCPRUWFLPpgGHee4b6mW03XnxivKSGEgiqAE8RI1SRCvs2Rgn9Y89S0f+OzTNzJiZEjNjlSeAbrrrB4WF64488Y5xhFmvhgE/iklIOkw21L00bag923LoqBNuF5VZAhzeX9HDZ0YknFy++uWrhCic7zb1lx3DSRwOMBK8vdgoblLAz6e2fmdnJ7gGvsKbarRAC8TTnCeKevF8SnDdcEm/rcB5kRTNtfrxHm6kg8cmCHqGmcbF5cJ27SgugbD3ayI3J+T8Ayvgwah5fW87E70v/GBRon+AKCjUKPHdFgEEkdEaZUjxURIu+TbyeSXBk9GdAPSc8RHA5xxEbIdebFRcSZ3vSBrudR2iaM8PDg6U3dZsBvp4V5pygZ+/ft9Mdkeb7A7L7G2lUyU8Y3z0wE+KC4raG3XCbZdxbqufPkkum+hPgCxd/fJVE73AP37+fRzgAn+aX646+wYhv1/10rTv5Qt6HHfxTc19TcrHUs5SxcmSrV2z7Nudc+2OuTJmHyvxAE8nSngsAxyLbnapfx4AFHXiMt0KP7KBrzAj/nWIgAZgjSj4jVeuUSyo/ztj/dxOfB2aFfjvbrM5fmhzCptz2lRBPrNOJLwSiwCPRLWdEqs4vFwBCsiKaFFiRAKfMS6B77jlNKKm1BKNcKq59RAwdVwTV3QpwR1rp40LdQTqFzxiVA8AAAf4RfLho9tn5dM3r11U1w2vvNNJrEzh7bNSmfb+KUbiSU5r/3pDr4CtJBueqk+47XfAATtch3jhdMtTwKlz/5qX1GLx5wAAIABJREFUp1/oAX71cbf9iAO/KVfJPb/fkAB5ZvXL07IaofwvMWU2T9CixpMo57wsWbZOAN9I5NU4s7sGvnhROe/Mu8w2wA8vhq3AWZF/8bsGNZfDu8CS3FERCdcgHtJJR6ur73Au+2RCswP/na1MZ4oe9SGS+Chd3QagRw2wBRdBA8Q44Stz+uS4BjpUp8OB/3I9TOPMmqfr6TqgXSlEn4sgkfLYVHwSiafhh5pnfFZG6hc8QqsL0u8j6unjE3kt+vml4+p988It+mmC+1tTrcMYIYR1Vjy/cDZJF8I4q0+Y/wxn8OWwcwKqueaeJ4T8uO6laTd5gD/6hPlnMQ6P5XqAQEAPQH3dK9PzyuXXr33xrxtPNC1eXFxWsZEBpMIs+yksv4VEIaIEV7bGGu3QBpLrl3JsrAHQCvFkmZAA/D30duwASJQA95Tativu/uBivpVwKPK6s8K5pViDKjZaE5e97ii/dTtK3MVgv+zAf3urhU52jz3B4cyO6G6rz0gi7H2y843dAUe17XI+jv58inSpfTYXx0VAjXOOCxH1X65n05jF5zntwGxVwdNPQOfmjrphSyMqgMzxhCj1X1OnfPYJRwLjpP6VR41qsA17na3bCFRVZeH2zW7rLLtnHkAZYHVdbKQR1ToLoBjyqa6bhCRgVx3L1yKbAiQ7WhsHxQzS8dcfVAQMpLkwWH38bfUg4iNyV8zSGTUl8NVVL01/3AP8Ucf/cT/O05+o6dU5gf4ggWwfNE8WJ/u+v+jbDbkeWD8+9X8aD+cGH1ZUXLQ9QYp35DTwxZKcolhvV+EF6ASM28/E89XzAbCrjlt4M4eeb4v7P7gYtnLGi5RY5ReHHTeYsrAqfdgRCbwtpDwcNlTsdTkscvyDsuj4byHHjxCFnefVKv16kl8c8GUBlC4d+GwWQGkE8GGaZVm2ju+6PxUJUR5QRyJSUoYzQG++oUlTHmOpu5J0yQBF/SWPGtX5i/l+/d4fuNNGEmlCoKQEzDQQ2SW3w+6SS0TbLIAi8LbOSonj2TropLnZp7OjpS+xyLoHflxYl9zRJ93T10q3bJN2lmAWvR+DOl4JSey/+uXvfOoBPsaOjD7hthbGoVR3++TK/sGLGEBPW/XKVQWl537zl9uHcaBHxuOkvbS494Z8DHyQSgGW2o6K4HP1/BIeVWq7UH/+f13Et3KOwNd0X1u3EuK/n/uoFa01wNTWtP1dvB111Ad0jHKKSwKZemgV/D2KoL65xRX19UAhryjsGiQdi32Ix8GjZmhuxYAqYEs1JAL4i9exaYx7Ob56/uxESo7yJDYplcMhXl4i5XbsU9+G1i9ZTqvbW+QJnXl0z8nPfx8WuBNsjw1JWVjTC/wUiRmEMBOw1BEmlpG2jqYhLMNLGLCVf/9J30AVnWwMdPTx809hHBys+Rl1EK9SugMCratfmtZL5XW4zmasxHPcfIx6OkpZ9tWHUHqD/OZePyGONSi5cdXL02cXwvFnzuTJrQNavmIYaSiKJdewZIL5u+Yih1eGPz10Nx89Pyw3X4j7gc650rof1TL7p9/tuwVrVTjg1FtQIe6FCC1pqMeK7SEI9nHNsi3nSiMAoQY6OvWR+fBgVAw/At9RQQLne7mlIj5eS73uX9c68gakFSniy8e37Rcx45xJIaI+At/ifJ6zIPEctcpse4bH26CpIMq+6BAALXhIlxgC9guZ/YjBCvXPPtswCqAfhIn5eI3Q1tidLcKyr4v5AKUQ1T0nqpZ+qH5vusDH82gqTTvN1EiTG6T/xj5PzJ1LUoXgpnri/P/+13zOdoxIgSJ73qtphGBF3SvTj1FHfcCf90fO4duRp4Yk8djEYNHql6edVsgL4Njzf7H9NItAaVlJ+ec8Fm/vqp4flqIL7e2QTnAey5Rq1n1Xz8/LrfcvA89Pvs63cA5Fjpjs6w+vc1q52H398exJ8Qal2GMi9Vl5EmN06mN/kO68MPDXbkaO71rkdBuDW5teEQDdNReMMfCqAYrPhzTotN8fOD1n0rCgH/+5z9l0AD5Xl14kK3d1eJeIeiMGva5k23YREvLrJQza+zFS//xzNvBzWvMLdOOJZhlSzPd0yI1oohGl3xMzU9La3jIcLGhd8N99C5KS8b1HHjd/EQE4RX2vXHE26jg16F2rX5r2nVDgjzp+/uWMwV3Z6ur7/fw249pR9/L0ykLSQ/G8Kb/dUUNS1oiSRGJLMlm2pZCW2UF/fjEXxj4TV0o7ilwetx7eT++em2/47o+/zreADXwlWkpY6KK/T5wOcHM3OMXvW9c5mVfUR+DzqY/9wXD8+H7wv7FZZrwEg3hUqK0GYIcA6ftcI6UiWg5H97TDDnbtJWAEgI9ltSZcyqZxBL4eTag9o27hD8QgOATC91xO114VS+G6GpX7Wc4BrX/+WTpKcfusbbE7pRsve5iudOMBlIDU71GM7yDxjNTv0Y1XVFQEhbTGTqU6+7en2/vzpPHxwu/3KShib/ZsTh94/vYGzllvO6w76M6LqKAFAFf8ywj/x1DgjznxzoMymfR7umjv5+KRbXkpjFnz8vSCCgZe9N8N+6QNOJZSaOvVq+LjXLn5wUy9Ii4NfNLyj8APq8EHaOHXrfsR4n6Ydf/HXwcUqF0d39cf3gm31Tl7WCJM1OLX9Vq/AYu7HF//DooAvL6JiTw1r4FLL4cuBTphxcfGnbY131VJNAJmP7PfqOu+n2bZF7g0zjnJ5vh6Hb1jLmbTCLWB75N2wuwQ6vk8EopfxA9Y8eVTegkwzgOpf/E5wwF+tO9es+Z3Q8yPSsxxDXteMT8BCWhubhnBmFmasGDZvTdWFlR158BJtx9sWezdrKp4IMlOEtFYnB/8wYsznPBvj6gvKcptDZxz2U3Tnlyvsc+bvacCfABget2S6bf5CUW232Nmv584JNZ/CoaSl5QUv0dicSubPx+764T10kPA5y/u+6375TxRhGuoCTpSvTm69fCZ0bXXAA1w48WVmxlnYoRaaCpsQvzrRKPpbjUVOOGNeFNz4YBL6bzaJOn+f0bp1Cfmh0fuIfhf24Qqvn21SBVEfkUX0K6kgvt0EV8fKWMPNLuFIygoAiCB72+CicAHyuc6YQBOwJP7kjrX93saXCKmCJj7jO78u/H5QkJxJDBSv/g5Oipfo145lIsMvEwqhzU/TzEfm2egKhDlv+dmxmhv7ziYAFBmblm4cPZBBfnvRx037yrGwYOxSEasvjhODiVNF5w0rXL2bOJkQnuAj/M3cuK8ZwjAl/X1pHl1lEbpLCRFFCgh/1j9yvSzCwE+jv3m/zScQQAq4omij41kcRPq+ZBOgyy5xbm3iaa3FJdX3C/ycf3s/fTQui+CeRDSzc2AIbwdKfAAH59v5oUiGaJIjw33iKvOonNNTipgRzdWOaDPEuev30NwaAR+FTzo76yrrnXaFZYlOKXi1jpntPU1HcAq6k4XseW1tFgCTVoR7+maECQjcAigce6yvwR1fAQ+J2yuVIX0yDKbkURGOLo3C7ObOHPuz3PwGFZJ/aJHG0f7ffd4ZdkSG0i608vtobwcEPjhnXGzW/MLEfOxSWZnqqO31dE5ghrQ+PcfVz5RKFZGHTf/Ec65B2P+uBp/AJ4gDIQvWvPKDI8NLgj84+b//F/VcX6qHirQhtcHfe3GzUPiB/VdvPjEQCO/bC/4jZ9vO8o0YUyyiG4tL6v4LJdbLx/rvlN5NyGr7+rBPDKE12/kk1xfj91XXB+Bj1Z9j8M8RMxUy1bPrpMcVcbNhKXJeoEUAjLDBj4ODClwdtoVzBL30A1gCvD2CvACX4FPgd3m8R5wa5F6eoivjTxhoRd/hwP/6EvZNGCucU9RDqleuMvNBbIGeI8hz5WglJqiEymv8VK9F6lftNQYHabb9+kDkOpA4PtDdFtJGZTZuffhQTvYVVLq9+GdcXVrfpiYr9x4La3N+2bSmf6UwvsP/qyqoF55kya9GNuQeR9De0U2potPd42p9aTb6MSXJmR23ZLpnhUUAP6BE/7wZYuYz3it0NHQ9QQIUGPi6leuWloIJZv6wx0VqZL0OcSgZu9E+UqGwU6iln6CmwZwgyHnl269QCNNrfIuBvT4g3nyMfIprp9Ih4v7My7gmxmoAB4bMPbk6PqwLqKrD6DmwbPIPRzV9nV59HTNsEVg6m9fNhaI+nxq0z7fKd9Bjq/H16v03LB8dm/EoMPN5QXsfHYv8VGSi5AQdA8E6maWce6K+zSOb9fIr/mcTTO4FPU9Ybc2gdK9HuHqhxtV6J2/iHx+TSUBIPXPLDVG67o9XkNy+yYC0BvSCRAGvUxnS5bce79Rzw3aQc8uGvZk0I63JXZonzwzLQgGTQFtSrccyS0WS7YnHnngf/sUVGqretL8iWDyV/wcPoc3TzCeWCx2yocvffdZD8Hwg3TSpLuL6s32RsxIc2mxG02VLaCHEHJj3ZLC/Pl4j8k31k8mnFYkikrrkiVl26LF/aQM3xVqAC7HTrSo2uW4wpJ2iiPr7eshvFGuPXy266bAJo6x+n6R1waM0lGzEgGfAU/Nq04gdN+065unU3/7MixQ38hPAE5Bjm8/mD+CUHFHda/Ac0bo8EpK0ZizFNn190ciYNrAtwGP98HCmRcfza4iFpvrpCrbD+CK7/LJdNHdUUE8yUA2kbVfXhomNYOez81n6/n1/3ym6cBKqIRUUl4se4mt1i747t2kHCQCGJLrBu2kBEFArs8MIvYjt0cxP9XeWpVOd1YbhDU8+NMBkanWUUxz1MR5v2Cc/6TQijuEQKq8Il5Z+/iVWLjD2QIcH4+MnDDvGQCZBBAAur/Flk5yCKlds2T62KiHj9o/dfb6wzM0eXQsHt/eq7T3h10V96Ni98N9+tLIp+v6iusni3tzZeG/9ut8E7OJoGPs0lDuB3yAAIRY+KV04HJ2PZ/fEdtRmCZ86v+9bDjA9xOAk+sty7XF2FzewwFdkMm7aem2PkLmgFHb7xXH3cUg9hM4d8VwQ+Tj65VyLx7LriLI8f0qiG2LENJDQM+3Qe5Je7YDhbxNScSsuQZBrQCJtCnUL3/WOBCvhsB3QR/N7b0ltnwhurZRL1tsfr5ifnNb04FmJtM3CWzFfT8b8HahGKmeMA+bjYzNGUnrEwkIpc/VLZkeSOgJBf6o4+Zdzywua6r58+81S7/kWN4WPkYitt+qxVd9VsiLnXVFfUlyiHGRgbWEiktXkKJ4Osy670nayRq7L336eghvZCSfnbgjuX7Qwn/NZL6Jg8zH19WfKMDbuHEWqB0w6Ri6FCd2QBXmzrMr1xDKp37+L1F/YcRkXj2BmV4guOIwPoBjl9BLe+kPGOLC8xgm1UPq6om9sDLMmHxfbdC4h8AHBXxnwvyJSN7iJK404i7rsPfyzLlcnJK8uB6X+lefNQ7Uub0j4ofo9tGRen6jnuu7zxabHx60kya8M5No7WgbBxZAapN17+N3DvZw31xYGTPhjn0yPC1y9vMN2FGx/BTI9auWTv+t/x6hwD9o4h8Oy3BTtO0NDdjRRYZApw76vbpl036f62X8x6f8YtNXLSs2NJ6MfVRS2nt9UNxP8owFwsqP4n6Uka+7XF9Z+JWh7/qL+EYFfE/ASZjo71jV3bfzAtzmwDrH1zi/y5VtaQDoBc/cCQvGjJGSsZ8AzDqWmX4LuMO5bWCEReTp9gidQYRxeA+xswfgPyaHyffVSo6vtilIuMeyqxiTVn3vsyhO74JVz/1XhTrcdGdbCrCVApUXoaZOn1e5TsX4+hXPSeD7RXzo1QtrLHh0+53F7f1ifntb29BMqvMAw+DrF/60X84MWD82qifedh1n1u/Cge/yZpcUqtkHzG05dNXLMwOdeEOBjwk71RPmbQTABMcwWqHYRrAOP3BYVrdsxoRCgT/5pm2jIQ0nGwRaepeXvxFWnEOP3ff49EONfD3D9b9/Id+ojHvuAnOzzvycXy12pXsr4umK8+7cuVzNdcnJ820uRuCC5+50RX1FABQRmHGsJeIU5RaeBRgFFN37oAPUHa+Ij5Y4o6QTQsDikuMj2NX2wQdAjryQXcWAz9GrFblRBFoOflQ6sO5atC/sGBk9UpdPihBSCal/5RVDVH32GPR6gNtHGfUCvntfbD7q+Tuam46yGJSTIvrsQzdUrSoUGyMnzFtGOMjuR77y9wF0aoyYANSvXjojNGU+FPh4sVHHzvszB7jMf+GcNwbKDSM25MNXrkTCkfc2ZQE32HtbrgBGEqWVZcuNWHFrdBFO18jnzdiTkXz5cn18OD2M1+/XR65/+Zk2x9fEXpWXoyLidAu2E0mnos8cKcAHJO0DCZ3Xub4WYEPoBc/d6Rr31GQqAtB/vGXqZbHUcXkpFxhed5irsngNbt5KO0Kk1ICmxipCRiA2ud0W9RHw6t6HXYiiPpvjFtq031uhV/dgaHOjaQWKeztivL+egZx36SJVmqgU90n90iXGmHy4vddvn59ur0fqeTPxvEY9jNBjFAga9ajZUbZ9R/N4A0iaHvzSnQvPO6+gMtqHTvrj0M50ei0HForVbAE8hJC/1C2dEcCwXB0R28hjbzsDuPXPbBQl7FRcIJQa165eOu2WvFFvD5wye8tpzOJjaNL4tLJX39VhRr6e5vrZSnPhY101hdfLtFy3UYVc/PKhvZlivvxzR46Wpryg2K3p5Jqur65pZfiFL35qx+q/FJzNSZdbmaDdIRhXHxDhPVZ19R7u9V2d2SVWCvAuUTEmv3lvsHALAp8j8O1cBqmTunPlnK+8EVoomDekVzPc+bP6/M9vr2Istrn4GeMg5bPHuwb99nqUXhvxZuGF6/Zd4fbKd9/QvH2U2cn3hRj/8JHZ/Z8uFBOjJsy7hjF+szovl46vW+MNSr+6aoksvBHAcdSDYMntzPrNWwmBXmr9qgXvCRDwmRnt3N936pbOOKzQl/zajzcMo5R+g3KS6V1RtpjH4xndyAdpWZFH6vpRrr18uL5bkw+f0V+hRzf0fffrvN7x42sypwdMfi6mRdMFRV5b9/UsfK+YLuaNEDAz/MK/LZKi/uBqGyEaATjhW1Ym+BzOEnFTaO1dXq7tutSyETIlpju1B9S7AUx+817D1VdPkDc5bAiK+myOWqC6Lu4SKS0FWLYXcwyRAcknS6VdSXh1wiWBn49BD89yS2u1u8U2Iiz5ittnc+FBIgkxC4jk9mlCMpl4U1P7JMatOGPswX/8z5CCcu/xGauPnb+Sc3aEMtY5oZTK9qFJPXLZOGnzzSN679//qae+Epr2G8nx8SKjJsy7HzPEPNl6fqu+5vLTgR6LkZoPX5mxslDwn/vjzRcBZYOSydIPe/Uq/ziYsZfFyJdT13f9+jKaT0/ZDbr30NA388LyDWjcU+BQnNsVhTWdXVP4PdF0thtNLlQl1msEQAs7lWPkx2OWceHfFnlFfYcAAMDxI1jGjdXXw2l9fncdHFrIsHwnn81BJxLac7vEQT4/obHJb651OX59nZQeTz2RfReAz3Hdkt750Y14nnoEWiViD6A9c6okJ9fN7CVmpP7t142DZIReeGiu36BXAqWiuo4sptlBSoqL7Sg9ackP4/ZRLjzdqIcFNzAhJ9XRciBAbOPD/zPg3kKxMGb87UdkwCwYQzbjuH/NshmisGbYlhX4IyfMPxcYe0g/MVeTPkcAIGRu3bIZswp92ck/WTfS5MnJ1GCp8vKy541k3PRH8qFhz7Xwy/j9nLp+vDg0ZTeQuedz702/gK1HY3UU4P3iqTdd1xtOq8RcT0adzvkFRlxR3bLggr8vMqK8efDN01n9v6rdVCmg6BZ6fZ8OJPU9/KqK8q2LyDonLNuXt28/H14jzY1Jz70Ay/zf9+TjrSmE8vv14iTO/bXzlavRoTsh4cF+AqBIiIgitDuEeKIDOX/39VfiJwjQQy/AtFs3EScYrCNbY2lRejm4PTMJcXX7lFNeSxj4VF09O1LPSmVibc1tJzPGE5RkHnrol8PWFIqF0RPmzWOMT9fPc+bA3hnl1yeEnL162YxA3wN1razArznrjpLWbektDGQ5LvUh3AgqW9kNSeAnhG6PDe0/GLt2FPrC5/5067ctZvUvKU68W9Sr4uOCXHs213dr8rnJO3oMvz+oB58xTOS/+utlS4Dw0boLLAged2ZcXT5owXYt7zhez5KzuajH0k3AsuiEP/wF3sDRFYO0sF37Ac471XoQCJzjGOHsD+OK/27upBhjP6ZXPJYHPPtsCuLp1mF/asGxCWna1G7s99ZyaPV/26PHwvBeZdYHhEBcPz+fCEdPspBuwfcnDqm16NgOpITDOL9z5ZL4D8Pi8ZXPHk+VIn7QoOeNyZeltVy/vQzPzYfbi4Sc5sYRne2dhwKlWx755UAnDz5fLIgI2nRbPWeswrFgimXjlnsLA6RM0iQtg5Ol/Rcvvqwz6n5ZgY8nVY+few/n/GJlB8xxX2+kHyEX1y2bUbCIM/nnGw+y0nAuhVh7Re9ei8Li97Nxfb00lydlN14cCOoJJvB4Rf4LzoHvxw3rh+FVaYP6uuRgaqW6VWScGHVfPr8SdxUxdY3fpG5tAz3yk9WQwe/w/gfyE+oE4IyTYHhJnD3DONtPj8rz+9C9Uom3dqCoWOWYxzUJxc/18blxHKWdlsm//exL3ohC7F+Pz3fQGIDRh7EZlPD/45wbHgInCIpXJRG0SAOwuq1utFTtv1wvii/hR1ojP2jYGD9z1fvNTdl99loiTqARZvYKO/lye4zLb2xqPpUxVmIY7OGHfjEosg1aFDBHT5w7lVlwf74cXhFusY4IySrmS7aTYxs1Yf6JnLEXFMXOaVXUoI894euWzzg01z38xzGO4JyfbJoOBPomk8nakt4Vn4Rx/XALv2y15absemP4g1xfGvqUyK9b+TGcd/A+5bFTJrBfxg24DB0WeoCJy93dqQyAzF7ZrqoaVXVXfgrBJTl5y2TWZY8//vmHfQceoGm5LgFQROD4w6C4sq91VixGqi2AuJNwrXW8dttRuzPtjrObY1MKsp6PPBH3UvGv3IfHCKXrUhn63EuvgIjMVGBXgNe/44gxcCCNZSYRiwxUVxXHqWrDDWChMcP3cBbDptxuF0c8zC10ZbltHcU+e+1yBmlm8lVrP40/vWV9s5UL9GjFVyK+Uz03AySYgSdj8p3UW+Gfx6/vy7k3U4G4/PbWxv1T7aka4LD9kV8OnF9oZSp8/ZHj5y4DzseHBM17rGrheKQn1y2fIbpfR205gY8gHDV+7iccyL5hF4nSMdRqjRnkjA+XzniyUPBP/umWIyzLOocYsebKXr2e9nP9MAt/VDSfm7mnB/UUcwzjzVfkrz6wvOiQQeaIBI/FqQEcnbHY8ku8lyn+AwtMoEaMY+aQEYtx3GuI3/Lt8fmcnGXk4yaAIUp8AJ4iHAAdDNYvfg42eefrI/ATADyupABFBAqd466MzwZ2vN72TR8RgAMCl24pl0xGLaImu489DAVQPe1Vl1tZF38r0YtmqlRbvEZUAg6CHrPuwvR6McchIn5Wg55WT88r4rt+e8eSr2XhNTQ3n8ZMVh6LkUcf+kX/Nwud5zET543LmEz0xvMDP4g3veISjqafrV4+ff9cxCYn8PHW1cfMxRys0Cq6uQJ6gJCX1iyfOanQlxdc/6dbrrNYpqK4rHxZaVmvzxTX13vsBVJ27Rh+N3MvxL0XKfJLK79YXL4mHN5YfoCw3H08D6v2JEsrOdgNOXBfSTlw2Az4HxT3cnX10grggKZDAOhdAVxPcChvCer0AKKTeSgR8BMCNd9htoF8voUOcDUexfiwTYIdt2jAK9CHAR6PeUEviYS/dl4U6HF/vnq9a8XXffYdxJ+IE3TfyXr5ntRbLUpPZeG1tTbvm2ptO5YSY8fDv+z/u1wADJvP6mPmYkn1b+CxXPgK9Moj5L/rls/4ea5vnBfwR0+6fV+rw/xEK5TsXDdbyx5JrzAclY+rWz4LS3cXtJ3z083jmWl9lRDa3Keq4p8kBk5pLm9L7WR4DH8ehj6Zs+/W4Y8S+TGqrzvgxz58Je39RDmfbODHCcqXAGQjAmqidamgkMmPArm6hgv2/ACPo3KBXjXC6BbotTx713UnA3WkiI+uu3ZZQDMg4udr0JMWfXTfuVF6acJNMJq2N51hcdbLMMjjj/xiQMF97zEhx7RSH2MavcKPVt4upFeepxQeSyTovu+9PD1nvEBewMcHqB4/91nO+cmBxeO3PvgGyEQz8tCaV2d+vZCFh2OnTFlgpEaecB1nrG9Rwnizsqrfu1HRfG7mnte9pxv6cov82fX9HgF/eT/B/Zs1zo/v6uf++REANaNSEsiHEBT6DfIFuhqnRHr1G0X7KMDjGLeltRTtdy7o3UCdfEV8v0HPycDzcXv02zc0bj0knbKO4EC3J9e89PuFCwsLzxU4O2bebwH49/TUY883y6pbk0VrVszMq8x93sAffcz8sxhYj/l9xf6FFGH8YwaPj/5wxXcL9mVOnv3paLOj6HKg3Kzq0+cRVixj+L11+bxBPW4Cj27oc0V+pzCnI/JLfd8t0+UX+cOCewBUkU49fx/nQ/Xgc8R+p/suHt0KJTb4s3F/HInif2EEIEgI9O8TZifQj3u5uH4kKML7v7sO+IAej4M1XR5/hunzAvR2PfzsOr2dX98JBAtR+bPuxDeIS3VB6fVCxMcgHeT4TqBO0IqPIn6UQU8vq+XPwKMdHWXbmnecAyaJxYo7//TQ7P0KTsapnnRHFUllPmWMlbktsrxp79mM64TSc+uWz3gkH+KeN/CxAu/9T8+tI0BGqFRdvIE/bTeKIAGQO+tWzLwyn4fyjznrhi2XEmYdTClZN2DggGc9ZbiNhCjP5br3ZCivx9DnEfldKz8AttbWA3tKBAHQo/rwWXR931ukMzf48fy2Ultfz0Pvx/E6948iALg/3A7QlRnu2jlh3B2v5HD4EMAHQe/V58X7t7nepqAhLxsQCYSGAAAgAElEQVTo3SCdAOh1Ed+O0kO93q2j15nDZy8Nem6wTlq0xcLzUdzfsnXryVbaHM6N2LuP39T/L12Z0ZHHzPlf4PCDbOdmwdcnU0+fMVKvpJvrOnk/46hxc69mwD3JN7ms+m4kH6QSvHj4eyu+g4yuoO3s2Y19WGfnDZxb8ZJeJc+UlFd8ns29J2vz5RL5g4E9St/vGvijDX74smFGv2zcP4wAZCMCu4IQ+IGO9wzl7nkBPrtoLwhuSPks3I+GvCCnzxP0IXq9E5arWfF1Ed9v0Avk27c0Dm9raT+VgpGmRUU3PTq7YkdBCxxF/El3VEFHCs07pW6Qsz8yP4tzj8DVa16dNSff++bN8fGC48bN6dVIYD1nvFzllweA70sa0CN6CCX/W7d85o/yfTh93Dn/teHLJiVnAkBLvz69FvISN4HHNfRFi/xhVn4p8ksXn/LvqwKdsURJFzh/EPz4DmGiv2v1d0V/HOsX/x0CgH/YHgA1L0oVwN+5Sh7lKx2EgVv/DrpP18PZbbDjP8o9p85zxHrcEeKqEyBvayBYK08HvAB5OxB/tl1hoPeG5Lr++g5PKyyPFd/ns/eL+LpBj7Rn4tt3NE9hDMpjwP/5yP8N8RS1zHetjzpm7q855/8VUKXzAhg0xUuMoR8snh6IpIy6f0HAx4uMGjfvVg5slhtZ5bPuZSvVRaAjZiRHf7D0yoI6iOB9UdVYmdp4AzOtgfHiktr+VZUrPIa+PEV+Gdjj1/ej/PteY59YlJqbT4n9fmu/as6B4/UGHfhb1/t1l5/O/aMIQDYigMd0QpAPMci1KP2BGwGgZwE7HooCPB5Trroo0CPg8ZjKtBNEQC+o4Vjv/Zxet+BHG/P0/neuXh8Wlhsu4qu02y1bGsZZmc4aSsmmw5ODbspX1Nbn/uBxfxyQ5h1oyS/NlQvjDY21o5gI/V3dqzO+n+t76scLBr5wN2RSHwGBeNiNgqW6vCSLACyoe22W8FEWuk3+yZaRqZR5LSY99qns/bd4SfmOKN++buXPpu97inb4jH0yuKcw8API5hzZwN8TBCAXEdDn1k8Qcs17KMD1k4bKH37OroZ0BfCCAGiivQ76QNJNl0Hv99dn0+ulyy7Kio/x+Jn2lj47GpumAiM0mUzc/NAv+xdsvMb3rB43527gcCn+ndNv7y91h0WnY0UjCmWmBQNfPujcOzlndufNALC1KO/gi6BfnxowadXyWSGlJXItSYCzf7ThcsviR1PD2FBVWfmwiOgzEpwy4GEiv1OLP5Z0MviUi8+fyKOMfU7/PSeyrwDwF5U7nXkQ/H6LP75hdtFfzYGtAuBPO/hHgMHnBtRnTBgF1eZTC3LPbMQIG+TZgI7HEOz4r6jVZhdsU9F36sq5uDyOC1TGtdNrnYi8boJeGvM0f31Ar3cDdbKJ+BiPv62h4VzT5INpjL/++K+G/Kkrczz62HnjmcmXcqeZuFeCzllOm/C716y4+luF3rtLwB919Nz9gPA6ziEW4PB+ncT3RHZAzzuH7TPoyK74Ob/6X1vLOem4kXOjLJEseq1fv8plfpHfDed1A3uEi0+L6gv696Wxr3Dwe119Quz3gN/V+3Eq/KI/7osW//HoVjGDygVo0wGxLxsRiCQIeayQKE7uP9UDdhvwEuy4SZ88blGAx2N+Lu/V52VOfRD0ksi4Lrtc4r3k9Ar0fmOeW1wj5cTiS9BLri/DcqUVX4n4W7duOzbdmR5HwGoxO1Ozn5o7sjmPqfUMEZ6yJ+a+QQgc4dZV8GXfOWxUy2SyMYa1WngiPmrNkmmfFHrvLgEfbzJq3Nw/c84v84smOSmUbb0ghEyvWzGzoCab6uUm/3TjQR0d5rUEDCgtiz1cWtkvNJw32sWX1JpxSH1fBvfkC34Ab2ivDX4AwCQfsdhFTz78yxX9s3H/MAKA+4rKqrQkHa8UoOZDuUnyJQSFLhI1PgB0G+z4Tyh3xwNVolyAx3inAx7/DuXyaMGzffQ4Bptbin9TftDb/no7t14l3ui++jDQ+415YbH4wnUXFpbbsHXftnbzXJRni8rozQ/9rPDsO3yX6nFzp3HG5uvfI9iyzvu1PIyWkD+veW3W5V35nl0G/kHj5x+QtqxVIFIvC98IgYa4UTry/eXfbij8bIAzfrh+CljwFSCkvW/finuMYqMVRX5/YA/G8kt9P9y/rxv78gW/COu1q/fgs6uMPtWdx2/0c8Efzv0F90q5YrpHAsCDmv/fnStNEsCdmpM0yl+aizAoYPu/h6fUskeMx5EuZxcEr3UbUWDPB/A4JsDl9SIaPtFeheHieSo4R9TNS4cZ8sI5fS5jnq7Xe113aWI1W2WNzY2XMM5LCDGe+Of/Dfp/XVm/wn3XnqrDTOtscTGBaytuT8EknFavfm3mp125f5eBjzcbedStfwZfJd6ApO8zU+oUiwDcVvf61Z4KI/m+xOzZs+kbbd+6gXE6khp07aABff/uluROePR9byKPFP9TqRTWHOexWJGdwlsY5y8I/EL0V8E++Iau7o+/lPgfRgDEPkz6UVsoEcCDkhDgJtQCfSs0csJXVN0V34NAjwI77lfuOUEAbMMd/q0s9hLwMiBH7Lf981H6/M4FvRTznRbXdrqtcN3ZmXd4bOPm7d9kFtvHoFBXU3LXr2bPnh2W9ZxzGVcffetdnEOAW+eMi7GNe5SQu1a/Nsu2s+W8XSj9KPws+4zDxt8+pN3M1BHgJd6VluclCbEMgxyxanmw4H8+V8DAnkxbx03ArF6JosSS/gP6v+zq+7LpptT3Xf9+aHBPF8Cv+/lVYo9Y4LaoL9pzaaK/cvnp3D/K+OcnAPg7IAXgzm3bxDR51QF95lxikM98Bsd4ubk6Lrg6brYYr/brvnhnnwZ4Bfog4L2lsnBctGiv9Pk2IjPtus7p/UE6ujFPT7d1XHebtxyf7kxPBGo0x0uLb+hKoA6+28hj5o0Diy0XJTPyrGHp+TaEdMbjyVGFWvL1a3SL4+OFRo2b8wvGsJmf3AqtGAJAFq95fdaJXVuYAGdfv/7wNOfX4/mlJaUPlFVVfOpx8QnxX1Xnldw+1NJfAPjDIvx08GcV/W3uHyX+43tESQBqjpAICOKgSwIaIVDjoglCfrPtAFwNDwE6HtI5exjgFYfHY2FiPery+XF5P+jdTLt8dHoZgy999RL0fgt+uDEPXXet2xr3a29ruwBrJiQM8ptHfzNUdJoqdEOD3t+enLuCcR7eYzIHgCTO6K/qXp95Q6H37lngT/hTOc+0fcQZ7x8K/TwiEigh01a/Puv2rr7IWT+on2qa7KuUkrb+FRV3QllxS5h/Xxr7gpZ+VaizELHfC34AWcXHNfoFwO/n/gECIMV/vAY27PQTAAF0zQ7gJwKhhMA/obaEEDnPPmD7xyFHV/tygR3H6SI9/lZivfLL64DH4y6Xl0E5ftEex2BqbQn+q8XedxX0qpqOsuBHGfOgtaN8S2Mj9iYujcXpY4//evADXV2rI4+ecyVw/getg4qH5+cBl800UTZy9dLLW7r6DHhetzk+XmTUUXOwbZK00GcP5As8q9D5KemIceOoD16fUXBtMrwgUtHXWjbeyJk1mtLYxqqq4ntoaXFHmLGvJ8DvCe9NlNhVfFDbkUa/MNHfb/jD53Zdf7r+j0eibQBqAsOIgD65Sipwxvulg4hVo4Mbh4QBXD9V193V/igdXhADnx4vAO8z4Aki5mTXuVzea8Tz59TnZ8hTnD4K9H5jHmvrKN62reMSi1sDUa8/qmzIz7oSnYfvdMjE2/ZPpc03gfNeaq5yBrz5vXsEvlP32tV3dQf0PQb8SZNejG1oe/st4HBQ8IFyaTHyOAH67oh+cNRTT80KbQCQ60Wn/KChd7vVfpNlsYGJOP2s/+Ah91g0bYYF9/jdfMrHnx/nB/DG9gPIEl7yX5XZFy76u24/Zfl3CEC63DaTKPefSwDwrygpQJ+XXMQg1xzmOh4G8jCw4z6v0U7q8ALkdslrHfDib9tN5+XyQdEeSiS3x3P0Qhr42++n91vvg6DXwnF1Y57dEMNgidim+g2XmBm2byxGNhbT0h8v/HVlU655Cjtec8Ud8ZY3U8s4Z2PdVBsFwWxpOe7VCJB3pp4564iuEh79uXqE4+MFRx4173jgbDEBTrK/RrQSQ4DOrXtjZsG1+NULfWXapwNZkfErAqRPLG58MHDAoAfMWFoE5tBY0NKvu/nyAX8sXsQ9iT3ov+6Qqb1K9Md/Mcw3jPuHif8BAhBiA5DvF1QFxOIvCSvRFVx6+RKFbODWr+rX2/1gx9+RIr3N4SXgw8T6EC4PJaAq5yjRHs83M5gaqxJuZAgulsXOB/R+t53Xgp8gmzZvnJpOmWMMg+6AjsyPnrxtP18txPxJQPXYOb/jwK/LZQXLxiYppSetfm3mC/nfNXpkjwEfb1Fdc8vdQMilWfP1fbHGgdhkTs9cUzvria6+3Bk/3Lw/S6du4pyXxGLx14YMG/SwbunXw3r9Pv5s4JfhvUUik0+B3x/lJ8Bvi/5eq7+r+wuA2PYAR/zHnS12xJ9PBUAjoAC4iP9Xm0sEcI+SBvQ5y5cg5JpnHeBqLBro1KZzdhfs+JcMwFFGOwHyEMDjfiXWCyDbnB/r3nut9lK0D+rzepadDXynmIbXkOeK9ylPDL5TQstMO5F5G9ZtPNcyzaM5hTYjnvzxE/87oODoODVHBx495wzT4o8LK37O9R/emooQcm/dG1dfnOt75Xu8Z4GPQQmtHas5kErHeJHTWuF9VELo1hgxDv3g9eldpq5f/f66Q1OmdSMBIx6PG89XDRu0yDX2eTl/drFfRvh5Y/sV+AH0EF/U+9vtwh5K9M+P++P7t0I8WSaB7SMAuEuGAONfYUQA90vpUxkHo4hBvotCHxcEOR6Vfne1Sc7uBTv+wmq32QAfJdY7ujzK9bZoLwCPObXFyOVdfb5Ycf2YnXBjx96LMFwz5VjvddA7BTV8vnpVMLNh3cZTU+nMSUDATMTozx777bB3ujJ3eE71+NuHQDr1FidEhjDmKGEVVmGHUrqds+Toutorpf+2B7YeBT4+z6ixt1zOgdwVWTPM99ChL0roM6ten3laVyqUqsufcf3a46w0/wEHbiSKix6pGjxgSXbw664+PcgnHPwqyg+5vpPT7xf9PdzftfxH6f9+AoDvIkBvSwHObycqPIoQ4MhwVVQnDvqnkJw7bPOCHEd4gG7jXXBzP9jFDhv8tkiPu8IAj/tdi73yzXu5vBhji/ZIATDZRor24aB3w3DtGHw7/l5Z7/2cHt12jZs3T2xvTZ9NsZZmgv/6id/s80pXcYY1I9/+tP4FzuH4qGvk7lMhCtZeWld79T1dfY6w83oc+KIO/9g5L3Hgx+ENs/XvDn8gWTXUAPr9VbWzftedlz3ruvVnphmbgRcsKy25v9fAviu7Bf6Ar18a+vyiv879dd3fL/7rBECAOgPcraTglQJ0IhAgBLjDRwxwl1c9KHwmXYDb6Nb+8QMdD6l9ucAuAJySerwEvCbW+3X5AJd3RXs816/PK07fJdBv3FjT0W5O5YTTZNyY+/hvhgbaxBcyi9U1t9wIQH6WrUqu/3qBctnAX6irveakQu6bz9geBz7e9OCaOSPSnL2NhQX8hQPyjfAhHNJgwMS61695PZ8XiRpz2vfWX8Iy1oVAGC8uSj5UOWTQKwWDHy8eEuKr9H5vjL9t9cdzOgDSWN0H/fu25V/ZAVzrPx5tg1hSVFwSm58AiH2aKuAnAjohCBwrOGfMfgjH4aQBWuPo6lnDwY5Hka97uXsuwIdZ7MU5WC4rYLWP1ueTOFbUw8uf0zds3HhcZ3tqMhADBc37nr55eLc47OixcydZzHoe3VW+PPX8jfpYuCZGDvtwxdVdyvPPhpudAny84aiaW7/Lgd+es5SQ/+k0oz8hZBONJ8avevWqXJWlstKG065bfynLWBdhF6ZEPPF0v30GPpEf+JUeL1N6FfgFkE1ZtBP/Vtl9utVfGf7wuMfyL8R/sVcYArMRgCARwD2aJKDeukXGcii1IGwyMGYgn03p5WFj/SB3wK+J8WFgzw/wYWK90uWDVnt7bogpxHwAPRpP6fOCWOQh3m9du+mMdCotylLTuHHv078f2qVimWo+Dh53y4CMSVZy4IO7tf4pzKx745p5+Xy3QsfsNODjg4ysueVp4HCq/lBBW5+3fHBIy6APkyWJCe8umdZY6Mvp47/y/Q1fs1KZqznWAYnFllQN6vf3ZEnCwmw+v6tPLABfVp8I840l7eQeW+/XRH8/91e6v0MANOOfa/3XCQD+rQKA7L81KSCKCIj9ShrwT5BNEPTdUcTBAbU+2NbP/ZeVLjgFcfcvFXmnxvvFeRQAZdSdBLnk8BrgQ8T6MF1ed9V5RXs9n9613EsCIHvcKZcdGvJS7Wlj26at51vpzASCOn0yfuuTvx0S2Vo6n/U3ZtL8skxzZjEA1ISNz3v9E7Ko7o2rT++OnSvb8+5U4IsknlTqPUKgT2SNvoAu4H1c+wFfHjGAntLV4B51xVOv++xEYpGfWBxiBqVvDx424E88zjMqwk+05nJi+5NcB79K7lGZfYI42Nl90CnCTTXur3R/JTHgaNvfXzABiCYCeCS8uqK7N5Io5FjFLri9AFenSUHeDbMNAzvuQ/29UMALoBpAlMVe/BYtq4UaRKAIew3arjr0ZiQxb14X7b3uOn8hDctKE5Ih8fp1my+3GDuMcDBJnP9y0e/3fTEfcEeNqam5I94Knf9knJ8i21WHGfFzZbNgs2Wy3YCiQz6svXJjd55ntwEfbzxy7M3nAyMPRLn3csX1qYAHAvD31bVXT+0uBTzz+g1HpjutX3HOSmmMrhk4YOA8Wsqd8F4/+PUQXwV+r78/O/f3iv9RBAD3qxgA92+hEXikgHAioD6wKgISTRAKX0YK4GEg7yrYBUEIcc9JwPvF+qAuH+6qC9fnw0DP2kjxpk1bpjOWGUWAtsYJ3PDEnOG1hc+OewYatatrbrkXgFzguOzCkJ+tGK0d8W4YdPKq12c93J3nyXXuTuX46ubVR956BwC/QsyDPz7BrwT5ZSH9DEJ+vab2mh/meqlcx7/yo63VVnv77y2LV9KYsb5v/943F5Ulm1zOH+brR4C7BT3wHn7uj/tQ9+/EYJ94kYgBwKAfEQugRf3J5wuTAIIEQFxT2AIk6MVvkQ+gNnufTy3INQddPS7Fd9ykRR43ydXlPleUx99ecV6M7QrgoQg8urzG5fGaKB2gKI+6PZbLinbXpUlna6r39i1N14LFhnKAhnhZyXVP/qofFsTo1lZdM+e3nLPv+S+Sk7EF1j+9e83KwmvoFfrwuwT4kybdXVTf1LScAz88MDH+SCZM2rH3hb0MBXrV6jev/kOhL+of/+UZawcDgbnAraGE0qbi0sSdlYMGfhBm9MNzUb8PE/2juH+Y+J+VAOBNPGoA7tClAPe3JAK4hREC7zH1S/caZJs7F9hqlAtwtUcHug1vV2+3dzh6vA/sCvwiEieEw4t9IWJ9di7vE+3R2OfT59FH37Bx05iOtvQVnLHeQIz1/+pfP/PZefvUd3ctVdfciv0du+R61v34hJB3y6DomNraK91P3N2Hizh/lwAf742lujJps5Yz1ssL7Jw00fvolFoA5GvdCetVFzz18nWVvMT6DWPkEKQ1iUT8saqhgx6NJ4Gh0Q+37KK/q8ML7o8nCLdfmPivrP84SEkAITaAUAKgEQH5p/qfDBF2fgVB75UO8l9FLrjxHBf8yNEFeIVRzka5vVMHuwK4irYLAl7p8FKU1wEfZrzDBBvlppMEw3bx+az2HtEeByYSmABEt63feHY6k/oaB4r+tXdJu3H9oj8N61LZN30WR9fcOtVi/D7ZFjqo1OcO0LHXP6HNsTiM3Rmuu7CvvsuAjzcfVXPLFMb4gmzLL5+AHwLQFoslDuhOWK96BkzpXd60diZL84sYADEM+LCyf+Vtxb2SO3SjH5IBanGOnF8QBM3qr+v+yvIviYY0aep5/vhbuv9wcwmA6wXA/Srxx5UCxHVEMpDabGkAfzr8wWUUiiDoc52LjShQ6+e4ALdBrv0TBnR5WIbWBsEu3XPSaJcL8LaLzhHrlcXeFeVVko0gBI7VHs+T1XDRiJdpTvXZsqVhGrPgQDH3CfLX8b33mdsTGW4HHjXnZMtiTwKHOAbpdGcjFM6pq7320e5co5BzdynwBfiPvPk3nJPv5ztRYYSAEuPa1StneXr4FfLSYWPPnPX5xA4Lfg7AKoEYTeW9SudXDCx7L6D3a1Z/ZfhTun+Y8S8bAXBtAK4XwEsAfERA/hQ5AUFC4FKAAOhzId4/IT4K4OHu2lgZM+8Fuh/sApSGDnibU9thtuK4llSDv4VPHje7So70y7uA9+vyyOWZlfa46hD0jZuaDm5r7pzOmNULCGmMG+RnT88ZvqS7awXPH10z9xBmmUs5gXJPgI7v4vkwMqA9Y7sq5L12OfBFSO+Rtz7IOZ8iHrQgSZ+gpHbVmpXX3FHIS+Y79vQfbexntqV/wyx2JAptiQR9tGrwPguTJWCJawifPzbuCOP+0tiHw2Tyjm38wz808V8ANlbEdRuATgD8UoC8nuL0IYCXu7IQg7C391OCMF7vPc8Dcjxkc3QX6O5OCXT5O8jdXU6vu+bkeDexJkqsx/3MEfOVb97l8mK628HYVr92SjrNzsYVRg26MlaauP6pXw3qbhFCZ1JGYeWpjpYnOeMTnTUcNtU51jeh5PnDRgw+tSs9JvJd11GP1Z3zu3SuMPbt2PEcB5jgv0BkMh8Qi3Byed1bPZus4L+/EP23b5hlssy3cM1QgA/79u/zh+KK4o069wdIg+7zR25PraRTytvl/l4CgPfTVQAkAK4XAI8qT4D8W3oD1CYTgtxnjuL8UjLwb0pSiPpoQkT3byG7FBHQ0a+4uoK/V5TXxHrk7qjT2754HK9zeC/g/WK9xvXtJhdgV8FVon1HY8eghm1N37UYPxCAM4MYdx9bNezWnhDt/VODwTpmU/pJzkHkpeBWSDIqIWRVSW8+/q3F1xbcXbdLwNNO2uUcX9179NHz+vJMZhnjUK0mSx4LDXBgiYqihYkBFde9+ffzu22FzWfSvnrNhgntZubX3IJKoNyMx+L/qBzS/6GS0risEOTj/rhL6v+yrl9Q/McRbuivJADSCIgbugHx32xEQIzzEQJxXw8xwD1e1HttA7nf3gW2GutFv87RvUDHX8pQFwJ21O3tEFuHu+MpmkiPP7OK9Y7F3svl29syyYaNWyab6czXOCMxQsn2knjsh4/dMmRp7jfu+ohDT/lraee2BuT8ERl43vXsGvvo1mQsccy7rxfeBafrT+ueuduAj48w8qib9weTvAqc9Ysq/0cwz6VX8uZYVXEaKG2LxeN/qv3b1B7LS842iedMX9+3FdgNjFlnyHF0S1mvorsqh/R5I4r750sAvEZAjQDYagASAHEtEQ8gSYKMCVCbTTDs416ou7+CRCG/ZeOCW0FbnqdIgOToLtAFYH16uzzq5e464GXEneTi+QBeWez9XL5hw46xbc1t32FA+mEFKEpj/2RAb3p+/tDt+b1t90aNOfOefcxNTS9w0xqR+0rYR552GsC/tOrNa5fnHr9zRuxW4OMrVY+dczS3rBeBi9gPb4wjgY5/hdaec8iIwc99ZLVNZQAjEfw0lrh3V3F+fKTTZ64/JmNasy2wRmCyVczgr/XuX3VnWZ/E1uziP57tlwB0F54d/y+GSUHCIwXYREDCXgUFeYHvJQZypNpQOghbNn4tIESaF6e54PYC3AW5D/hKjLd3Y1itIg6iKAZujltOB7xyzXmDcMR98LwIsb51R7pf05ZtV2QsfrSYOzA+TsSM2U/NHfrqzoFL8KpHfPNvg5mZvoiYVu/OdS1fs0xrjMddHQhIQ8pEzq9bec2Du+oZw+6z24GPDzXq8N9/jXGCIYpUzRMlpJXE+Fmr3rgWEx5gzJQFiaTV9g0BfuDpWJz+rfbBSz/eVZM3ZQE3ml5ad4VpmdM4IcUoiRQlYwsqhw14pKgoLp3+esKPx/ovCYDXBiD3GUItsP/GJCDxZ5AI4G5lFJTw9ksEaibs/R7poOuzJLl4CPBtji84egDockd2sGvAN1UAjndfmLVevHtnJtGwbvM5nSnzPOCQBMLbYzR2W+8Tht258DwiDbG7YKv5xl9GmBl2PgBJUIA1LRvi/6DpbQ9zxk4Syn647fr6NW9d+9td8HhZb7FHAB+fsPqwW2Zw4HOFjk9IkwH0K6veunqZ/vRY0eQj1n424/wwQqllEPZw7cLL3t2Vk3jqNZ8NyqThRs7YKVhXlFCyobgo+UDlvpUvJ2My2w83J+PPJgC4T9kAJAFwwS6O2Z4A+S5BSUBe01UJ8LcgBAIJ8ixFDMT1Irh9oXOFrjZ1jg5y3OdydPylAR1/hnB23O0G3kiQSyu97qrDoBufew5PxGw6M200rG04vrM9fT5jbCjg9BvGolicz150y747LaElbM5qptx9iMXpuZwxgxLy9gG05FG0zI8fv6B4e2f9PzhjX5bnecz6v1jz9rU/K/Qb7Izxewzw8eWqD/s9UsLLqGGcsmrl1aFJE+gOrDnvL6daFhwLhHCD86dWPnzZLhPt1Ec4ZcZHX8pk6I0c+HAKhFNKNsaKkg/2H9zr+URJaUYnALoHwCUAKgjISwC8UoCPCIifbvVxSQg05NsP5xAE9bCu9J/fGrKZuBrsBbgEOW4OR7eBLv5R4rmtt0uw+zi5A3hdxJeAx3bUjg5vAz7d3hbfUt98kplKfcNibLBtD1obj7GfPTPvgB6pOpvfxMhRR5579zEWIacD5xjwtax2waWL9OQx9Fpt2LHjH8DhFMdYTeDWNW9de00h99mZY/co4COoDzziluGr3ro2Z+GNmin3TDQtdgpODqXkpTf/36XP78yJCrv2FY14OqUAAA4mSURBVFe8Ef8k0f9CyzS/CwBDQZYX3pYsSjxYObzPUyWJUs0DkOBIAFQMgE4AXDXATwTs34464D3ukACNGIj5cAhCzyDfA3AfyAWwNQOdH+j6cZ27u/tVXL1AuWhQidwdt/Z0W7Lh8+bTUx2p8wDQAEwBKF9vGLE79k9vue/OO8dmdvU3P+LrfzmJMX4C3jdm0GdqF14SGhAkXNaNjY9wgNMAyJ/r3rrm293NLO3Jd92jgF/oix02+Z4jCGFf4wwoobz27IPXPt7V7qWF3lsfj77/ZQ3rzsukzRmMwf44qRTIjnhxbGFFv/LHyyp6y2wa2wbgEICAGiCBrasCfgIhfvsIgXcMXkHbfEQh7/dMSku7wLl2kgS5d6/k6O4+fUwU2F1xPgj41sam0u1bW86yOswpDLgo5k0ofBJPxOYdWzlswc7wyeeaF+zO/Oh7+5zFGakhFBjn9B9vP3TJm9nOO/30OcmPNlozDx855OZdHaCT633+rYGPLzd2yp9GWZyexxjEKSEf0r6p/1d755W7nBPgs6DEcsqM9WdbVuZqi2FsuEgJaYkl6D/L+pQ93XdQ5eeKAOC/aAfIhwhIcuD+X+ULyI8rj3iJgf7Zu9SYyAd393p+kOMRP9Bxn9LbPccd3V0Du/hTcvjtGxuGt+5oPc1Mm2cyrM4NBAzKPjSM5K3PzBv66O7imNgFx9qWmMIBRlMKGYOwBW8svHx1LnDtycf/7YGPk1sz5Z59LM4v4IwXE0rXJpPGghX3X9jVMpM98r1OmvbpadyEay0uwn9FYJJhxFYbidii3v2Ln+9TUSlLiWnGwOxEQIIcpQEX7lHEYCcC38fxlTSgA70QsO9obKho2tJxkpmxTuGWORqbqWGdZUrom8SA3z9/235P98gH6eJFxl1wX69UyjqPM7YP9ng0CLm/duEla7t4uT3mtC8E8HE2Dz3nr/2pYV7MGelFCbRzgIfeeuiyHq9OWuiX+/KMzyeYGeti4Pw0BqQMq7MQwhk1jOXxZGLRgH2rXknEE44xEK8fJQkIzh7Q323XX4AgeMmD/7nVdVxuHfZmQXFfAhw3XQHQub5ulfdxdpu7pzPp+LbPth3XnkqfCpY1nnFCxbsR0goEno7Fjb8+O2/4To24y+c7Hj757pEEYDLjUEIob2ZW7K/vPHLxlnzO3dPHfGGAL8B/0V9LjTbrXOnrxxxbeGUklL6wJ+hXp89ckzSt2LlmBr7BiDURGImJZqGUtBoGfT5eHH+x/5D+byeK4tIG75MExC4kCmgXED+8InyQIEQDX0kNanG6YPYvVy+4PZxcDU3IMTI7ztkpjXQ20MXjdmaKNq/ferjZmZ5kWewkzniZsM5TblJuLInF4cGYYT781NyRXdVNegxr6DZeA21f4paMwUcfvVVqPPzOvRdLW80XYPtCAR+/B+rZR06+5zhO+Zek0Y+uNUjnwtqFV3apy+nO+MYnfXvzAIh3XGAxNoVb/CBu5ygTAhZQ+m48DiuLipJvVA7r+264NKDIgCQGYnFGEAT/84cTCB/HDntpDeACzxrIBfAV0G2wI1dvWLf9kM7OzFjTZDXc4gcD8Jg6jRDyAaF0AbWK73/+rgGbd8Y8d+WaNVPu6G3xoilStAdGGHlh5UOXvLK77AtdeYd8zvnCAV+99BHn3jWc09gUzngvAryDx42H3n7wkm7XVstnUgsZc8qstQdn0tZFzOKTgLMxDGUA0TacYBWPFDXo20aMvFFUXvJ61dB+H8QJMHF9WyIQoBdGQrUpUuASBf15HALhe0jk2P7ndsHthbof5Hg0w7HKzdYxnS3tRzELahhjh3HGi5Crc2wWCZxRYrxPDHgpnjDufWbOPu8VMk+7Yuxh37inmmSsyRxIMaGkmTBz4ZsPf1saZL9g2xcW+Pidaq54vMTc3nAucFYtvhvhS6tp2XN7gugfto4mXvV5RZLAScw0v8Q4OZZZ+Nwq8kvEK6Aa8LERj9cZCfJRIp5YU9yn+JM+FeVuzwGNIITdw0sk3BEeMIedaFve8dCOxpaKjh0d+6fTHdVWCg5gnI3kFjuAcZIkhBMuO6UDNUgdJXwZjcVeSHF4fsntw7vVG2FnYQ9F+zrWejJwItPECa2L9a18uPbOswotYbKzHrHHr/uFBj7OFor+Y8/76wSLs5OF6E9gnUFLF9QuPG+PEf2jvupJ3/5kAI8Zp3DGTmQWm8g4Hx4KZgIdQKCeUlJPjdgGQsgWoLAjETN2UCO2gybjO2Ix0h6LGWmejGVKE7E0j8eFy5NkMvG2tJkgKTNumlbCNHkJS2X6MMvskzatPsCwJwLvzyxzCGN8MHAYzHhY4r4A+ueU0CUkTl8kKeuZ5+/af48R4aPmuGbKgt4WazuPcxiGor1B6HNvLLh46RdNtPe//xce+OqF0eXHOMeaf70JISnK+fNfPfTz13ZHwE9XyfdZV9RXtYF5JKfW4ZzxQziHAxnj+xPgoiVtoHS5b0+wIaP3SXK1enCPkxZKySeU0A+A8vcIM94qhdjKx+8cvEvSpbs6f/p5GJDz2DvDj2aEnMQ5T1JKmighC78Irrp85uc/BvhC9D/rjhKWSH6NcazOIoToTfEEf/z1v39rXT6TtaeOQRWhLEEOSHdaB3BK9uMWG8QYqSSEV3HO+xDgfTnHBqYkBownOJA4ITwuW5nTDAGe5gQyBEgGgLcRQhsIkEYOrAELWhCDbowx/qlhGB+1cv7Rniqy5/t9jvrmn4dl0uQsDjBQqCQY+JVO/aP28Z1f1jrfZ9zZ4/6jgO9w/8l3jzYBvgIc7HBQXmukMs/+J334nb2w9sTrI+G3kvEvY9it1OVhRwzgydqHLlu1Jz7vznym/0jgC+5/xR1xtq3oBE5hgkythHZCybO1Cy5Z+UXX73bmgtoTry0zOu85kjP+ZRmMQy3CYCmt6nxpd4V37+55+o8FvsP9z3+gykqlzuQA+wsmQGBdnMLjry+8bNPu/jh779/9GThqyt0DMwzOQuOdrd59YiST/9xV5du6/wY75wr/8cB3CAAWVmBwGudQjjG1BPiKPuXwwuK/XFZoNvvO+VJ7r1rQDEy69O6iHS3wJQ5kHObNEwItBoWnd3XhloIeehcO3gt8bbJPn/lkctPGrV/iwMbJqD/SgSLhAUbJqwsXnudGxuzCD7T3VoXNwJQpCxIfWe3HSBUOk7aAEaArBg7q98JTc7+y28OBC3ubnTd6L/BD5hbFwzQTxr99xWFK2wjjS4yq1Gv/qTrhzluCPXNlmTqbPJpTMhEYk83+CHyWoPDkXrUtOMd7gZ9l3WExRcvkX3L1Q9IKlC0Z1NZa+9RTs/Zyj57BbLeugsUuNpaW1QCjEzlg4o+00xgx8sKuLMbarZfYDSfvBX4ek44x3NRkX2IcBouFRaGTA3mjKBl7dXfn/efx+F/IIZgn35kyjyHAx3ImiwBSAvUsRl/YE3My9rSPsBf4BXyRmsl3j2acTGAgQ2fRLUSBvWsQWLZXnCxgIrsxFNUwi8OxDOgh6IYVgAcMFeZL/xP98V2dyr3A78LMjTv3vqGdkJ4AhI5Bi7G8BFlvGFA7Akre3WsI7MKkZjkFDXYfQ/shlgU1AHyonG7CgbMPiiCxdMXDF67v2Tt+8a+2F/jd+MYTp95f0ZpKjwcChytxE5t9UIO+Y1mZle88/J29C7Ib83vouX8cahjxI5nFDsWmFUrNAg5vlSUTy5c8cMEeme3XjVfeZafuBX4PTLWwKDcmDiIWqVFqgFikABjrjsU03lvxt6l7fKZaD0xFty8x7vwHBqQz6YNFEhJApbogivPc4LVGRfr9vZ6Vbk+zbGiwd+u5GThiyp/7ESA1FofDgIF0KwnDE9/GuPFuUTL+wV4i4J1vBHtnKjOGEusQxkmVc5RCm0HgbQ689s2F3+qx3vY997X/fa+0F/g76dth2ucT7+yzr2nQg4HxMRgjrm6FUWQAsIYDWVNRzj/+T4sOxKi6xhYyggDH2ogjRbSkQyChHSj5IGax9844dO1n/05p0ztpKe2Uy+4F/k6ZVu9FscLLx5DajzHzYOCkWvmbbZ0V67qtAwqfcc7X9imHdV80QmCHzw4jhOwDDPbllA/DyEiHEAJW1+V1lMbeGwHJT/fUCkm7YKnsslvsBf4um2r3RuiSMi2C5cBG+kEg8wRgCwW+llFYFwfYVLr1822LF882d8OjFnzLSZNmx9r6Da/KAAykDIYxIPtwgP6u90PEQUhiB7AmZvC6va7Qgqe52yfsBX63p7B7F0Bu2NIC+5rAhxMg+2BpKw4g/NMOR5Qtm7YRwjYTRjZTwrdQCjuqBg5o3F3x55jXsG3T5grGoA/jpD+nfADndAAhrErn5kKqAbCwNBgHvjYG5PPycvjsiybVdG8V7Pqz9wJ/18951jtOmv1irOmdj4cQaiCnHMI5DOBAKnWO6SUKpINw3ohFJTg3mjnnHZxY7XFKUFduh4zRnjCSqTQ0WuVgWinoZ6UrGs2zBm8UfeQfrx9kJBorYknYarRAzEhAhZG2UkmIWyXAeEmG8RLCjRJCSDEhVi8sXsIJqcAEmNAXkZmNDYTAZgKwgTNrbe9DR2xYPPvEfwuJZQ9bDjvtcfYCf6dNbc9dGN2FZmNR/xilA5jFBgBjVUBF9aA+2DOw5+6U/5WwhxwW3AUGO4DSbdSgm03GNscqOrfsdbflP4+7a+Re4O+ume+h+06aMr+szSiuYBbpw4Bii64SwnmJxXkJUFpCOJRwYAlCqMGBGAQLyXISY7Y6QQEsTrjJgVoEuMU5swhQrMHXDoy1G4S0c0LagZB2CqyVGnxHqdXRuHjh9NYeeoW9l9kNM/D/AeXG4shabsG4AAAAAElFTkSuQmCC"},7875:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},14813:function(Dt){"use strict";Dt.exports="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAP4AAADuCAYAAAAZQLrKAAAAAXNSR0IArs4c6QAAIABJREFUeF7sXQecFdXVP+fOzHtvG70I9rYgYEVjEk3svYIuRoo0AY3RGLsm3yfGWLH7RaSDFMsqNuzdqIlGjAWVBbsG6W3bKzP3fN4pb+6013ap8n6J7O6bmTdvZv7n/M85/3MuwrbXFn0FDq/5e2WjUtaeG9iOA6sEonIkKjeIyoGxciQoJ+AxRFAIFAWBK0iocgBFfHEGYBCSTsAMBMMgAgOBpQmhCThvUhCbCLEJEJsY8Aam0NoKo3nN67UXNGzRF+5nfvL4M//+W8TX7zt6gqavSXRRDaMrZ0pX4LwTMGgHAO04B21TfAnGIAMAa4HDWmBsJePGMl1Rlqntk8vnTxwj3tv22oyvwDbgb2Y35/Cxr6nrPv5ye2TKTgSwPRF0JcAOQBR6r5BhMxKtAYS1RMp6ImomNJo0hk0g/p9RmmJKPJUGMKpghZGCzka6/Rr9lO4/GuKrP72kmxJb016NwwqlHjorMQAlbaTioBnlwKk8wwWDUMoRsQzRaAME7QixPXEqC710iIRAqxFhGQL8l7jxXdt9dv/v62OP0DezS/2zPp1twN/Et//wYdMS9fWwiw60MwLuBATdyabhzqkhA07EViLyZchxGWpshcKNNZ2267rmuXtPTG2Kr3DChc/GVy5d1t5gSnvK8M7EqCsR64rIOxEXEYT7QgADEJYQ0Hcq4LdVVfDN69OHJzfFeW/7TOsKbAP+JngSDqqZtp1uYDUg7UEIO3mAgkgAfIUC+C1n8L0GsLRixbcrX3997BbhMQ8/fKza2HnnThmA7RiHHQ2gnQFYZ5mxCEOGBN8B4ReqQov+XTt86Sa4DT/rj9wG/I1w+2tqHlG+hPW7cq70AcJqAqqUvTly/B4YfENE37Wrgu+3Nm8oWM3aetgREXcCDrsQox1lY4cI9QCwmDFjwe7Q5uva2gFmGLLtteGuwDbgb6BrO3bsWPbMxzvtoiusD3DqxQnKs2C3H3QCXNy+ir7c2oCe75IKQ7CmHndHoD0BYE8iqHL2YaKawPAz1eALTtrnu2/Gjh3L8x1v2/vFX4FtwC/+muXcY/+aqZ0RsK9BsC9wqHAfaFrJSfkkEdc+e/fBgcta+WO36MMdfPacrslUphdDY29O2Cn7ZRg0KggfEdD8/9SOWLFFf8nN7OS3Ab8VbogotxlrYr3RwL7cjGmzCZTVyPCTmBZbsA3shV1oYQTSmXQf4rQ3AXTIGk7Ab0mh+Ur79KfbyoWFXctcW20Dfguu4aEDZ7dvSKV/BQj7EYeEdShKI4NPODfmfzx31A8tOPzPftd9+k/agTGlL3HYGwBj4oIggyQQfFgZj/3zrTmD1vzsL1KJF2Ab8Eu4cOKBRFAOAWS93Gw1/qAoML9rw/oFzz130SYpsZXwVbaIXU444Z74sso2fQwD+gLQDuZJi+oH8c8IjLe3Gdjib+M24BdxzfqeMa0nJzzEofPImMGAf6IgvLOtJFXEhWzBpqIUahD8mgPbmzi3Zcf4LUN6e/5jwxe24NA/q123Ab+A273vWTOqmc6P5ATdHbpJgO8n4uq/3p09eH0Bh9i2SStfgYMHzWqTTOm/RKADnTCLISzhKnv1o4eHLmrlj9vqDrcN+Dluad+zpu9u6HQkEexoAh6wARh/q1tjw/xtdH7zwIIIA36sqOwLnB3q6CMQ4XtFxVfnPzzsy83jLDe/s9gG/JB7IuhkmsOJQLCL+TZjjcjpLaVT6r1tGeXN7yEWZ2RWVlbGf0EMDwXOrTIqwjcxBs9uC8OC92wb8KVrIvTnS39ccSQBP1goy8wGGA5v76GU/6u2dkB683zkt52VfAVqah6JfWE0/ZIYHCIaiUx5MLB3t+vW+dVN1dewOd6hbcC370rfmml7GxyON1VkVofZu+2q4NWfm6puc3xISzknWyZ8JAEeLCovQhasMHh+fu3wT0o53ta2z88e+H3PntPJSKVOJoDdTHaI8L3G4Olt9HDreNRF2JbhcIqbp4GvlHh83vwHB67cOr5had/iZwt8ERPylYnDLErIFaERR4YvzX9k6Adodshte20tV4CIsO+AGQcQp2NEz4Qow4oQjnVKvvFzzdn8LIEv6vE6mMk7McUGkNF8JZV5af7TY5q2lod92/cIXoG+p0woN+LaMcSxr538W6sCPPtzrP//rIAvbjyPxU/jRHtZSV9YqsXo6X8/NOL7LRkoA+9b274sqe9pKLQH6bQrAHQD5B2BY0dzWg6Q0LyXIVEMEDWw/yVAQuI6IktxoAyCGKeFjWKkljnVh9EqILYKAH5EFb9WDPyiOaEunvP7dlu0VPag303dMZPGUwhgO7Nog/g5S6ee/DkZ/p8N8PvWzNiJE9VwTm0RMcWIXjl1n2/f25LaPoffWN85k2jui5zvh6j0RhDtvibQzbZWkcEiIvNf8XJ+Fv9aHg7FH61/TcNHaIIfrLFezs/iX2sH8Y94y/oVwXxD7NQAiF8D4KdE9Ckx+FBLls2fdk3VFtNBJ9qmn/p4519wxKOIKM4YrmOItfNrh363JTuBQs99qwe+iO8OHPDAIQbxo80SHcL3YEDth08MX1voRdpU2517w7KuerlyLCc4AogfAgC7kvhCNrJdkFMzcfgRFUXMuPuRgbpc0dga0mEdKmwt47iOq6yRdMqAomRiTE0DmcMyBZq1NNdjYBgaqqgxnVdwRm3J4O2Igfi3PQe9CzDWDTltD0jdADB83h7A1wjsHWTwqtpkvDj5z103+/bj/U6f1g4UqBHJP1H6U5C9/P4j57y9ted5tmrg9x39dLm+anV/IF5tPeT0djWrfHlznfAy8Ka17eMJ4yhu6EcBwiFEZJ2380LWjEBfiQEeyNQvGKmLGdO+VhRmUm9ZaKDwWEiCMp8UwWyA87wMls4+I867hjAGPLMrR31P4voe5kANgt0JRIeiwxJMYrEICN5mCr6SSsZemXP15hkiiAlJi3jD0UAojKtI+ixSO3aYO3/iKVttzmerBf7+/SfvTEytIU5tEKhZVWju+7Uj6zaV94763HPuWrYPGmwIAB3Ggff2zEEklkSEjwFwvoaJf6tq/HMRlDvwdcEdBDRTwoBf/Lfnhgt8d2/LBDhGQfyGhEzXU3tlKHkQEhxAQPsCozhxQmuyI3IA/IwBvkEKn/nAxV0/Lv5sNuweB9ZM6aEb2J8Ay5DheuR67X/mnvvthv3UTXP0rQ74ZummZvqhHOAoS33HvlMwWTu/dsy6TXOJg5967qSGrpmGxiHEWQ0B7y3iZhsaBiq4AInNR6a9n0iULeA66QLWYSAPgDvtGgCmBoFfvL8H4LoE/JiXEXiNgmsMxE9MRTWZbO5DPHOgAcaBwKk3MlSl8OQzAnwk0aZi5uRRlZtNSNC3ZkJbgxI1xPlOgvozgFfm1w57a2uj/lsV8PcZ8kCF0mj05wBilptI175VjeWvbA7UfthYSvA2K/sDGWcD4aECyxatxAYCfFVl2usqln+ECiVdoEtAlj24DXAH3O5WXmgrLfT6RsDbW+B24J81CpJB8BsDwQrE9mRgQqemfXWeORyBjgTKDhw1AOktQOVBtr5h7vSxu27ysdsm9aemo4CTuE9iVvhio0KZ+/HMc0TFY6t4bTXA36ffA12Yop9DHNsIMQ5X2dzNoT1z2K3Lf2MoOASITgCiKmBmCU3Q3ncRY8/H4xVvAVHGD3aPN0+nwQtyC+ChwJa8ftgTGsYExHYezx62o8/bm1Q/axhiXmMQaghiZmhgjdFBLZVqPJQofTwAHUyEjhGsR4DnCdQZMy/r8NamRpjdjt3fEv3Qem6oD3z8+DnLN/V5tcbnbxXAF6U6g2iQ1ZTBvovHlUc2dZ/8ObctPwGRLuUEB4gqm7hZRLBYwdjzKiZeYRpbGwn2EKAHQB5J66P8v/W4RMX+YbG8l9i7v+Wi/5YxCDcE7me4RoBneLsMbzqag34cAFQ75UOG8AER3v7AZV2ea40HvdRjiL7/VMoYYFF/bFYQZ28NJb8tHvgiIWMQGyDWkEOAhUqndO2mkmGK/MLwu1b1I84v5kS9BNyRQT2CNo8p8Rc0Rf02H9gt2Po8eijI5S0lQKfzT/1S1Lgn42/oqfzPQSxunpkDXtcMWD+FGQM/IzC3sdlAmBHIGPrO3EgdR5Q52WqW4shI+RQY3T39ki5zN1WcbbX8xmoIoKdYM1BB/sjmmCguxrjlv+HFHG0jb7vvGTP2R+SnWUk8mn96n++e3hSCnLFjiX1RufxsAPgDirKWqYjBtcjYo+Vqmyc5UrMM+KzXtT27A2GPV/fE8S7I3X29APeD2boV4UaAGV7gcyUK+BbY5VfASEgGQTYGYfG/zAaCRsBlAYywrElvOA2MdA0BtjOlRYhfcoD/26Ohy4Njx4oKwcZ9CcHPEwt2OkXIfe0lzZ786LGh/9m4Z9F6n7bFAr9vzYxDdYMfa9JXhm/859Fhr7TeZSnsSKMnkNbUtGwoGHAeAJpDIBFgBWOsVtHaPqsCpQyznm4BVwa8bmbd026cHvDqaXMvcx/JiwcBboHbAbMX6tHe3zlObm/vAt/5yTUSXqPgOU4sbjIDJxUYzQZioEawAIWlUQeMG5l1J3LOBxBAJxBwZ/gDAL+/vKrrjIljcKOvyrv/mdOP4pwOE9dcVdiL82uHbvJcRGFPq3erLQ74VqfV9OMMA34t+uYVouc+mDv8X6V8+ZbsM+j2lUcpxP9Gzhx9gh9BVR6OKR1fMjCtW+U3CfBR3t3n2f1g9wI9FQJwC9zhHj/a6+f/7kFvL/ZxAW697zUI7j7Z7aKMgE35w1iAPwxQKKamjVXHgG6cBQy7iWQJAn5rIPvL7Es7bXSDf0D/ab80EEWyFhUF3pn/yLAXNlUYkv8+hm+xRQFflFm+4E2nc6J9RWulquBj7z98zoJSv3wp+w2+s7EbM5r/RmQcZ8vYf2AsNkfR2r3BMc0dwAfpfNC7Wxn2oGd3QewHehjI7b/56Lv73fLH/OHXIQL42bAgBOQQDzUExRgBkRaMCgMYxZiRWXsY5+mBALCD2TwAygtcKfvLrD9V/FjK/Sx1H3NwC7H+Vks3frQHK39icygbF/p9thjg96p5JBY3Gs+yavSUVjX24MYcpljzCCll3644nxD+AGIdPIQUIHs4prV5TEHSHUqfj84XCnYLrn6gh4E8aAw8UE+VCPx4kOaHeXzzbz5jILMCcRQrPLCOl9MI+FhAMAyIgQgBDEI1nVp/BjB+FnCIgzlLAf6veYfO42sH4EZbcFMMY9Uz/Gyx2Ieo9aeUioc/20JGtG0RwDc9vdE40AQ9Y41Mjc38z0NnLynUurV0uxHjVv1KR/16IthDtLQxYO+pWuVEhbHlgRg+nYaw+N0DeMNql/N7dgfsfnqveLx5KrtfFtI+cDNf1h6gWE2MvSiQfeG4P+tvGwXHNFhglhiABHQX7BYbCDMCXEFvPiDCAMghgGkAOO+S0RtGcW78UnwOQ/xCJfV/pl7e8Z8tveeF7r//7x7szvX0EDHgU4B/D6ViTj7P37Nm1t4Lawdv0hFgmz3wRUx/wJkz+gt6L0CvatqUjTU26eyxSzqpVer/AtEp4kEgTssUVZsU1yrfs7L0Vn3eSsD5AO+L3XUpSecAmxlAQbCnIAzoYSB3Ae4FtqomvA06LcM96HrS95xYhsFjECRjkMsQOO9ZRsBS8cssQLV1AHJVwMkDOAzAMQAGs9bVSmUafmEY+ihE6Cryfwri05l6/a8Pju2+UcZrifFteiYz0gQ/4kcfPDo0tPR4+NjX1B8XfDOBAAcisd/UPXbO+4UamNbebrMH/gE10443E3lAaRYrm7qxPP3Q25b/lhPcZg6xINAZ4hOxina1ukFpTxyfTdrZMbwEeBG9y1l5C/BW3J4b8JZXN7eRvLkFdBfFWYDbf0pK7ymaD/wlPjlGxgV9wlke0CYEXoOQCBgCAe6gEZDB7mUBwTDAjvfFucdE57CoFLg5AMsAWGVAVcFYunGtqLWfRkAaAq5mCJfNuKzLmyV+9aJ2Mz1/unmEoP0i4fdB7fDn5QP0qnmk0qCmWiI63vo7/hCLxQ5csIlWTt6sge+U7EQiT1Fo1saI6UVN/uvylZcQ8lEcEBnS5wok7tPiiSX+OJ5xINPzK/akCskIOIAP0nmXqgsj4Hr3INhDge4DeRDg1gaK3krAVx3ge+m/YxBkYxBpCOIWwGUjYOUF3LhfbBEIA7IVAW/CzzAsT8+ZZUQcAyDofyaV7G5A8vdE1AuFAojYpF2bOt2xMWr/5gIsBg4WCT+51Nfn7DldM5n0M0RkjfyyXwj4dmXHPkfMn3jgRi9LbrbAF+IcIN5PlOw0ldVujOz98HvqO+uZprvIgL6IolYTm6uq7R8JZOtDaL0TwzuUXgZ8xozRXcArhm0o7L/Jnl0Gu+nRJaB7QR4FcIkRRHj9Zp8vi5qqoUve3my1l15GiEEQxiDcEEhsINQIeFmA5k8GxuLgCQFs7y+8vZf+W95fZP+5vmaAYaT7i8gfGM1XtfKLp1204ScEHXjWA30yOq8xF1NF9niSsSYg4zmyJiUFXogwoe7R4ecVRS9aYePNEvhmXzSxs4UiTwF4dmPU6QW1NwBuQuAdiHBdTE3cq6qJjz1ePoTW+wFvelub0nsBH+LdbRofBnaHtrtgT/q8uAVw1Qa3F8zub4pRVtLEYENplp4N1zQ4P7lGwTUIljGwfvcwggRIeQLXCMTj8VAW4DADxwBE5gBy0H9TAKQn90nryQsJeFtEthqYdtWsSzr8oxVwk/MQZp0f4EQDsXua6AxAaOeY+uwkM+nqMmTnLXx06IQNfV5etrERP00scpBvgQprNh4fKrT3G0ORJ6j9l5XL/0QEw4QuhAF+Flfb36trfK0/lhfZei+tt6g+82TpU5AL8LowCmGAt6m5AHw42F2gu7C2fgqC22sGVK048OsZGfTiE7ycwDUK1t/Ff/2GwG8EHCagS0whmxyMx0GVKgNOGBBlAJwqANchq/0X9D/M+6sZ1i7D111okNEbUKyqA9N3b+hy54am/r36z7hWR/oLAKkeiHnHGFqDDMWQUwWPqHtk2NsbC44bzeP3OWv67hmD3gRkf6yrHfpo2Be0Wmv5SKvLjuZ/+OiIJzfkhRh5x7oOKSN5NyDsK8ZQAqhPxNXKx3QFSGTsnWy98OoiUWdq6bOdc2nw0nonaedQetfDK0K7K75IFvBWOc+h8rnALjy6DHQvyK13QoHt5/MA0AQhf5QucLkP4FlU+26Caxhcg2AZA78hsL2/jwmYRkBiAWLOr/kR2TDApv425RcGQM4BmAYhgv77k38i868agCm94Qwg/XRuzSL9KK4k/jjlkrarN8Tz1fPMaRdygruAwMpCuNPI/PNL3VmmDJYl4tqBH88e/MOGOCf/MTcK8EUZY8mCb94CArGckai33rHd3rtc+frYI3TnhMQQDdasny/66UWX3en7fPvQhmy4GXTLqh2QGfcD0Y6AuE5BdXw8XrHAT+1zeXl/WU4A3PLA9r8S4MPofEZzCKBM45Mmfbcg6vfoIUC3seyAujDv7h8lV573WXPAnjUOEgnwGwKZEbhsIGgEtAygbACENTBZQMAAODkAQH8ZsFDvL6h/KtXYxyD9fCBqi0A/cNLGzL6yY6sBTZSee54541YifpmFaGlIsYM0Z8qxM/lYsgwI8O9ubeC3+Vhx3ptVwAYbBfg9zpx+PXFBe8TLNn8I/1AZDPisdvhSs1Z/xvTBQqBjjsrqkJyxIVtrB9+1ogdL878Tww7E8XtVrbwNNOah9lbG3uvl5fJc7jg+BV5K73r4ZDKcyqsaZMHu9+oeMDe7njsIcgvQaqzcG9cXOzLSZwf0dJP9nHjf8BiDgCEIsgHLCNgg9rOARCKbB5AZgBMC5KT/Idn/bOmPAcplP8jwdrrecBki7YhIq7nKLph1cecWz2IUz3CPmhmzgfOzs2PMw5HvGVnuunzrEiPClLrHhp9bAHZbtMkGB351zYxDgdPrQNyasiJbOMSlCtKAOEfkQEeLyTmxhHbfhhyiMeymdQfpauo2IKhEBRdWaG3vTiI156b2bizv9fJ+Wm+X5EIovQx4RXc9vezdXcA3u/Q9EuhNLsCzwHYRHgC/SfVzv8L8vgt6sa+9hf2P9Z67V5ghsP5mGQEnHAiyANsYiKpAiAGQk4CyAbDov1sR8Hv/sLq/oP4JwrKG9LqLwZpi3Kjq8cumX9323y1CEgD06D/tZgK4sjBun6UAPkMgysPs5M9rhz3T0vPJtf8GBX7fmkfaNvCGj4jDzg7z8Vs4INJVpryiEX8PEWZ++NjwxRvqCw+9feVROtevRzEKkug/FVVd7k/qopPOjeez1D4rxAHyx/IieVcIrRcxfD7Au6W9INi9Ht0PdK9394LaHQ2nZipKyurrWqP0bFjLzUvQBw8LyGEIzNDAdv5eI2AN57eSgk4YEGYA8tN/T/bfjv3NxJ94mZl/b+LPBL8aUxvrl59HiPszgDQydu2MFnb6iUTxgx9PF/V6W6QTQvV9Qb9/0RMz20GwpLwt9v5w+oZb+2GDAr/6jOlzgMwmhuxqLL7FWbIPFEN8k9p1OLlu6mn1GwL4Q29fdUaGG5cyIMZQe1ONVc5G0gzRHSdLbs2svSzEkTL2lsQ26OUdWu/E8U7Szonhgx6+WcrE5wK8DXbJowtP7oLcAng4uL1zIdV4YQZAT8mAF0d3Qe/cF9coWO8J3Hu8f7n3dwH4aAPQjGVQFmoAvDkA1wCE0X/H+zulP8v7u8KfsKw/YUbR0w2DOM/8lghIRfW2GVd0fKwlz99+w6a1a14P75Ez8NX/wPuz+v4Py652xB5YNHfY0Jacyybx+D3OmDGYuDEz74lLyzohQp3KtP6f1g7+LO9+RWwwZNyKURxouAkS1J6Nx8uflJN4kfG8QRQWy3uSd35aryfIzdI7STsnYRcCeJvKu95dBrvr1a2fwoBu/61AYBdx2UI3dQ2DaxBkQ+AaAdsk5DAC/jBANgBOOdARBTllQCf+t+i/k/0HDCv9BcFvS36luF8k/ZLJ9acbnJ8ojsaQTZ15eedJLblOvWtm9dL19L/IXtos57F8y5pllzgTSXBFOWXho0PnteRcovbdIB6/R80Du5JufAhAbYo9aURsZATnfv748IeK3Tds+8G3rjgXkA9HRK6A9kgsXv56btDnovZOic5N3sle3qX1LQe869kbfR69EaK8t5bJykSgoTUuHgBUSsfJaG7AJh/eMgZ+Q1DhZQKtYQCy8X8u7w8YSf1lwY8f/Kmmw4nSYtKPIIXTZl3ReXJLLmGPM6eeRgY+LpYaLPU4CLAkVhbv88mcQa2+SGnJJ5Xry/ToN/V1AjDHEwWovb+u6T+QTYWYAocsfHTEO6VeNLHfOeNW9iPglwgah6jMKEtUvlcM6MOovVmTl7x8FK13svSBGN7j4b3evRiwOyAPB7j7Vy1eWVKMn0k1SM+GDH/rjjh/8RuDYo2AHAaE5wCcKoD1r0z//d4/LPEn1/wdwU9Yxl94/uZkwy+IjKFCbsuYcscDl3d6vCXPX3X/adcCp7FypBum3PN8hi8UQIYz6+YOP6cl5xG2b6sDv2f/aQM50eyST9T84jh30ePDzyj5GAAweNyKw4mMa5GEVps9Wp6oekMGvc7BUuH54vmwrL0FXjdjn8/LZ0wZrUPr7Ri+aMAHPbsAuxfo1m+R4K4Ppku0RFWoIcgkxUh736vKXIQ38HKNgmsQxE+5jIAVDkSzgDAD4FQBNDsB6KH/Pu/vzfxb1D886++L+32evylZfxgQP5OAC2dx3azLO79e6nNo1vXPmD6XiE4v+Bghyj7G8NSFjw1/uuBjFLBhqwK/x4gnq2D1yoUE2N1ZWtmfxScxMVVMs8guvWz9bC+wJoKs/2pKxT6f1g4oWVU1/NYVB2SQbiIDYoyxF8rKqp7Jgt4AkjP3jipPyG7leN6btZepvV2T1xPkTd7543g3adfU7Pwc5uFlKl8Y2ANAtwEeBWrxHNRDYTnTKmvF7XDAO8bBZxAsQ1CcESiHCjchKIUBpgEos8oADgMQBsAb/7ve3xP7S9JfI1vm81L/qKSfVRa0Jvw0N9efxIEfh0hpjdjV067o/EEBWArdRGCC1qx8Fwj3Ehvkff5DlH7I8MdYIta7NSl/6wK/3/RxlmpJeuWTLHpiASREOLru8RGvlnqhB9+xbg8wUndwogoF8Z9libYPlwZ6K56X5bZMJfKW6NxYXnh5h9YLmm+efzNA2v5ZjQFZhXQL/E0QDXivZ/d59QiQy8D2GID1JV5JKTsjswG/Yci+ZxsDPxvwMwE5FBAsIGgALFDHhNAnWwZ0k3i5vL9J/SXVn0v9SwB/sv4sTvRLRGoCJX7JrEvaflHilYSep0/vS8hFss/SdkpFrkJjYUSYVff4iCGlnoN/v1YDfp9+D+yVgcxHRKB5PyQf8t33EXFc3ePDryj1yw2+YUU30PjdANgOQVmgJeIzkCqskl1Rnl4CfSoFYdTeKdFZsXweWq8LJV3xgM969hCwO0DPgjwLcBfpsUSbkuJ75/qnk+ul58O2BPY/DuBlQxBuBCwmUIwB0FVLGBRF/y3v78b+ZuY/lPoDlgp+wkYlnWweCkB9AGhtU4b9ce6fO5c80LNHf6Fe5aJpJ6dyL/C+tDkqyqF1c1unkafVgF99+tSXAODoIGjzFi5NAoTIPlDUil+VOqxw2Ng17fRK4y4y+HbI2FfxeNkkoPKMU6fPHdNbHXUWvY8AfZbae728E8s7Xj5I6x3Ai3q7k3V3Kb3fu0eB3QN0H8jDAR6+OHC8rG2oMUg1r4t4FtoGbqlrEFxj4DcEhRoBLwMAzJYDy8uzoYCX/gswW2pAv/cXiT+L+ltZf6fkVxT4pZgfsElLJZtGAdDuwNiPaoNy8fSx7deW4pjEsFgj0/A+Ae2d2zH6j+7iBwHfqXtixCGlfP4G8fhYaQ8gAAAgAElEQVQ9+s84kwy91jy4ry4ZVCYhuEslWwvKIWITaNoBdbVDStJMC8XUVxUrx3HivYjD0vJE5X0cywXRNsU5+UEPZnzvJPECghwf6L0Z+2DyTqb1aVM379D6wgDvePEg2C3EB4FugVwG9dqSHs/gI9Wunfs31zh4jYHHELQBCDUCnlAgyAIcA+AkAWOOHNiM/wHDvb+j/gN0En9+8Avq7wp+rKSfZsbz1iyA0JhfAj+jprKm5PrfA0I3hamf7tbY6fJSW3r36j/1AM7hXU6kihZB8+Vr2snHBxhjZyx8fPjcloK/xR6/7+iny+uXr1hodrmV+GKIYxY+MWJiibvDkHFLR5KYcU5Qr8Yq71VZ2ToH9EKcY0Rk7+VyXRD04fF8GLWP9vJuHK/G3Rp7Kuv5G9yMfH09yIA3fzZxHgb2dXlBHit3P6/U6yr2SzcFa/dBY+AagjAj4IQDpkEIMQBxSR+gp6zP88T/Id4/mPhzwS9Tfyfu94NfVvr5wa8YgGKsl9Pco/PmtjzTcKFBUKUwPnfm5dtNKfWa9jh92l+J+P9E7p9D0GP5Vazrtt+ufeTO1lLOpcXAr+437Qbg/JpsG2KUJjfy7Nibi54cbtX8S3gNuWXFgYRgXkiVxadBPP6lo73PKvIMIH/2vhjQW/G8N2sfSu3tWD6/ly8M8F7P7oJd9uaFAjyeKswQpMSU+gJeskFwDIHFCPxGoA2AzQJyGQA5BxDl/T2xfzbzb1F/f9a/JeAXFQFT7muDX2j7IZXaXeep4SDyzxz/OvPKziVNyO07+n2tYdlH7xPAPtZlzpcD894MwQgY4u/rnhgxvoDbFG1fWrLzvjUztm9K6V+KXKrTXuw3WIFynkXtTboPiOIa77/wyeElzRgfeN/a9tiQuQeIt1EU9VUWr3w1AHolRo4B8Jbsoui919M7oA9k7UMy9oLiu9n6cFqvOZ4/h4d3AR8Eey6gFwruUu95LqPgGIIwI2CxACsfkInVY7gBsAxOlAGwsv+AQg5o/itl/rOJPgXQjfsBCwF/KO1ngH6RjwA/TzUcmcnoRzIF1lNl/KI5v29XkqKu1xkz9tczutDzq0G8FHR3lqmxqj0+qx1QskCzIOsedSo9Tpt6NwFd5Hk/X5AiZykR76l7csQfC/qqvo1EXL+4bNXfgHhPZMo3iVjldELgbsONEOg48+6Bwur0+eh9EPRuPG+V6Zy6fBNEefkArY8AfCwhe2QL8I5nDwN7PpCvBq8MIl7RoaAMf6pxteeZ6AAdct6eMGMgG4EgCwCMYgCyHsCh/6HeX6L+TtnPpf7Fgj9Y6lPtkV4C/M7PgvYjAUum1w/jBLsi4Od7Nnf8S6nxfs/Tpl7Hif43n8MPwEmMiiIAhcF1C58YObYU7Dg8o6R9xcjgdFPyayDyDmTLx1yc9xkur9Iqq+fXDghPP+c5q3PGrR5scL2fqLNq8bLxDKrWMzuW9wp0gPQQcU6poPfE83o5WV7ezdg7sbybrXdpvSOzFUk7OYa3PHx+7x4GdhngecG9Ms/6Ep065Qa5ZBTCDILfCESxgCwD8IcAdqzvGACv93difyfzLzL4UtmvTJT4rGy/oJHFeX4v+FUF0ZX3yi29gBzq26STzWJ15Apg7PHZl3eaVQqABOWvX/7x58Bpd29d33e0CIk7IjRoZWV7lDqXv2SP3+O0qeOI6LL8dcnwL8IYG77wieHTS7low25ds58OmWvEyWtKYhaqVV+F1+rlhhsgb8lOKPiswZd+YU6Upw8Hfa6MvQ1628uHA15k4yHr3U0KKyXmcoE9AHQfsBOVnQry8lH3INmw0vt8+AyDww7yGQF/PiDVbIE4zAA4CcBw8FuyXzfx13LwWwo/q9NPNPeYHX9yT7/Uz++o+7ixdveMnhkkvoQC2o3Tr2j/YSnPcY/TpwzgnB7Ohr5mxO9TsvoO7FH+Id6/+MmR55fy2SUBv/rsOZ2wMfkNAQWbtfOehRnj/3PhEyMOKWVp4ZqbV7eNoTFOdP4pCnubxatel+N6OYMvhmaKteVFqS5jiJjerdPr4ucSQG+V6vxiHDeed6i9E8t7vHxa6OTXS+U4l9L76bwf8MKzRwE9GuAr8t6N3Bt0Dn07axBCDIHfCISxAJEHkEMAxwB44v+s97eMRBj1z6r+TOpvl/yK9vx+kY/d4muCH9BZuVfO9FvxftPhhqEfAoytT6/Ey2tv6VA0czW1/KdNfZeADnIvdISLz24g1/VBR0XrvfDxoYuKvdGlAf+0KTcAp2vEh0XFIBFlSkCGXFHwoM/njihJ/3zOrSsv1Dn9miH7nsUrZ2l2XJ8vg28CPSDOyZfIs2J6x9M7oJfj+UhqH+Ll3Tg+OoaXAe/QeA/gV66EcKC7IC+v6uzx9J0zwM49Ew5pWwEnMQZ9AKDbTws5dBNVMwL4kRuw1DBg/rpGmHfrFPgAunofo6b6FdJzEjQGpiGQjEAYE5ANQFQOIJ30xv+5vT+gp+ZfIvj9Ih8R0wvP7q/x+zP9GQLGU+sHA8GOxOid2Vd0ubdY8Inte/abehg3KLIRKK8OBmDSoqdGji72s4sG/t4DZ7dP1Se/sW5RKPR984S9p4QI99eVSE8G3baqF4nSocF5PF4+hSmVq9y4PjyZ5y/bOW21xdL7kkHv8/IyrY+i9AHvHgp2C+hZkC9zr7Pz45m/gcpj94eLEzEQD0buLJ29OxH8N5mGuyY8B5M/+ALMpZ08dsD+xTUGXkMQZgRkFhBtALz03/H+Gxf83q4+B/zhyT5R52/omMo0jURkCjB2w+zLOpY0QKb61KlPA/GTzVuQp44feB+gWYtX7VBsU1vRwO95+pSx3KBrzRMwcW+W5ax/Q14+RpBStfiun88dUrTm2Vz4IrHyJs54d1XR3lHV9v+IjOs9yTy3bOeC3lp8UteBxOIV+WJ6GfSO7Nbx9FHUPimy9LYAR07eiUx9QYC343Wvd1+RE+hlbdzKwJ1DYXh5HK4FgHC+nsdFEMHXjRm4/NLp8JyzafN6C5zRhsD9KH84IFhALgMg03859k8IFiC1/GZsgY9L/d2kn6n2K8Lzq6rY1y/vDar7wpJ9Tryv62t+oxuZXzNgS3Zv6nR1KVn+XqdM760z/hEQKQEPn9ON2oYC4epFT468uRivXxTwDx40q83a9SK2h/bRMYl/koBtFBDFWKO/L3xy+B+KOUFn23NuX32yntFrFJWtw1ibaRpRRpTuvMq88GSenMEXDMAU49gy3OJBHxHPB6i9G8uHeXk/pc/S+YB3lzy77codjy4D3blOfXcDbeSRcLfCoDXmtVFahxsvnAo3ht2zgCHoChDGBGQWEGUAvPRf8v5t2pgSYFH7d71/VNwPWAz4PfJeRWTvrYU8Ba3PleyT4/0MomYk1w8nztuqmlr7wKUdShqV1ePUKZOJaGR+bHhzAGayD9n33Q/Ydbdi1HxFAb/HqVOvIOK3+PoKPefqJwAOGWAM0xriHgueHPF9/i/n3WLgTWvbMyVzE3GKx2LaE0xp96Wf4vtFOt5kni+D79HeA7ninOiY3vL0ftBHZe0d0Icn7xzQeyh9COBlGp8L7M7VOvVXED++DzytILRKI4dzXIPDw5c/BsMb10Sr+jxGwBMO+FiAnQuQDYCf/ge8fyj4rRkAwaRfYeA3bG/vgF+W9noz/b543xb3uPV9QfnX7p5OZ04X/fucx6+ac3Xxwh4hhmtO6YuBRDOy4zxDQukInQwyGFD31LlWv0wBr6KAX33K5MVEsIdjc8JCksjPRCwpCSGON+T21Rdwgx+gAHypxTs+lY/iu3E9ULanXsrgC6MgvL5YSlpIb9Pm760Aek88vw6aU1YnnEPtC/PyNp2XvHuYZxfHrWhvU3t7LZhxF8FMRYEWTS6Kun9pHW696l6wBCM7WFtFGQJhBLLhQJYFWAagGO9fFrckwP6svz/uLxb8MUVUAKTGHvG7nkQBfjnZJ7y+rOnPRfkzqVWnGpzvzhj7YOYVnf5eAPYCm1SfMuUGALrGg3v/VhHZdGT4dt1TIw8t9HMLBn7P06cdznXjtXxKo8AHi0UBCXTAWHXd0+d8XeiJOdsNuXt1HyNp/JEhZkiLzU6w+Looii/KeiJzb3l7q9suVzJPbrgRP4dl7wv29OkqkrP2UaCP9vKFAd4Pduc63XohXP5TzHpdsde3mO2TaRh8zd/B2xmWwwiUYgAc7+9Qfwf84jxF1j8q6Vc4+GVtvwB/UNrrgt8X75vr8KWz4h6Z8id5qi1m0oM4kaYklLtn/rHDgmKurdi2Z78ZHbmufw9AZU62Jl/VTC6rMVU9cOETw+YX8rkFA7/HyVNmEdCgUkYHAYMZi546d1ghJyRvU/MIKbGvV1xHQJ0VNfbPmNru/UIpfjauNxt0gsk8P+jdaTlNoOpA8pQcbyLPS++dJJ4DeieeD0vghYM+P+CjwN7W9vgjT4Idd+gMot9BLC23IV9L//kZ9H7xPWuW0Do/9Y8wAlEGIMr7h1N/J+636kki6Rft+a1Sn1Pn101aX56d6mN6+2xjjwt+OdmnOsKebLyfn/Ib+toD03r6V4xwZWq3zv9bOwCNYm9Gj1MmTyKCc7NBVXES+Jl1T48saDBnQcDf7/Rp7Zp0/iMAuYuhZ79R7jP7qXPOUFStVykiA3NgJoezGChrlFjsEYVpur+/XtTnHR2+NWUnQqQTkcwzu+yyDTcC9I4M11LktQT0odTeE8u7oBfM3k/pTcD7lnR0wP6N9ERNOQcmMwaDin3IStk+rcNfx8yCm5x9d7F/CDMC/lAgawAi6H+uxJ8V95cKflfh52r7Bfi90t5gvO+Ke/z1fbfEB6g6XXw8oxrp9ACDG+2ZCg+XMqiz52nT9uaG8bE7k9Ib8eeaYYmI6RiW77TgqYFScTf8LhcE/OqTp1wAxP/PPERAWJRbaYQIc+qePrfoh1KomgbfvuqvYPAOTNFeiWnlixyKby5maXpyK4tfCMWX43oxJNNiBFZcnzbbblsC+mASTwZ9Y4VN3CTQl1cBwTIQ/8sL+DCwi1tRVQ905dmw8/ad4HPRrVkKkEvYZ/1Tb8MOL38A6foqb7Iv1AjsEMwFeA2AdQzZ+1c0useVqb836Ves55fAr1oqP1fXny/ej6b8fmFPOtNUTXr6aGLKqlmXd/zfUtSpPU6Z8goRHVnCvQHG8LqFT+Vv3ikQ+JP/Q0T7mbi3W2qzE0T8Z+dL66PCDqp7amTRvcuDbl/1S9KNQYBsfUzt+JCipMk/N0/29k4W30/xVRWy69eJ0p1L8cXPXlWeoPhOW21ond4u2XnpfTToZWqfSDpRW7SX93v4MMALsMuX/I4L4AKVwe2lPCSl7pNOw+mXTYDn5f1lI1CIAYj0/gkL9GFZfxH35we/v9Qn0X4BeJ+0VwDXmeHnjfeFXDeFuSi/x+vraUvxZ8Qwra/6nWgVj6nK7OmXdvxXsde5x6lTTiWDP2k5WrccLn7NV+dHxpac3XfEjvn0BHmBLyaEcl13gZt3VJDUZID40aJ5I02DUczL9Pa3rroGgHdR1dibqlpWF5rQs4U6/iy+R4cfoPhEYlXaQpJ5ToedqbuX6/RSIs8f0wdKdRHUfr0kthHXRgZ9IYB3rufdF8IL6CxeUsxFLnFbYXWIw5SL/w4XhB0ijAVkw4AQ799GiIIKoP5Bz+/S/mDCD9Dp7HPbeqPKfFa8r2UEwhIgwB9F+XNl+T21fd7Q00gbvwFgy2dd0fHGYr2+EKvNeX/qYgDaLSiQ8zFsP+G28Hn0onnnvpLrFucF/p4nTxqPBOc5bibQPRT+waaSjyFeuHDeuVaIUMRr5O1r9k9m9HMYYiPGOz6iYZo78bvosffW7N2uu7Asvkvx3Xp9WFyfjgHJGfwNAvqmzuSn9qUB3p30fM+Fewh9YKyIy1vypu4zAJ9ddO8XB7gH2iNwzJwMwGcAHO/fVC56Arxlv9yevxTw5473s/X90BKfV9iTHdkl1faF189QjPH0qrOIU3mMwcxS5vJXnzL5T8DpjmAGzdu9F0y2i0W72LTF80aOKBn4fU95uryeLxNJvSLWwHMsAUvGIdH9k2eKX/frd7cuuwyJdVMYezceq/wsODDT7bH3JvQsoY6jzpMlueH1eqJCknnCCJgttSV6+qh43g96OWG3TwXghWfA+U1J+MdfpsDH1k20AN9xuz1MDA47Ajru3AmWlIzkAnc0vbz5iVlhybrrH4Uuzu6rln5hOxDLANwyBk7McKj4yySo9RuAKO+fK+4vGvwaoNPWK0t7/e28egbNxTuceN+t71slvmyW31b1OcIeOdEXqO3bib5kqqE3J/4LRP7jnCu63lbgpc5uZqpk1zX/l0iQlxyCnsCBTfyt695Z3e716cOTUZ+b0+P3OHnqmZwbtZ5+YW/IEWAiWdgjzK57ZtTgYr/w2Tev6o2MD2PImlW1aq6maRmxzJWg71ZCL0Zuu63w9hE1+6IoPlFUBj8LenP4paXIK5zeh8fzuby8iOFvHAW/qojDPYiw9/om+MVfpnzxsQN2+XpefBL0aVsOBdVti70PJtB9LRhycuG1D6Dd21+Jeoj3JYzAjaP3GKGpdB8BvlGfhIuvnwqfOwYgEP9L3j8s7neSfvnAb4p8ZIVfDvDH0hii6c9N+cNq+27vvtW+KwyDE/dnMhlNT9f310kvU8rLp82+qKroBp7qkyffC0QeiXuUMtZpnXHuBmPszIVPj4xc8jsn8KtPmjwdiLya78CQMD8ZsT6aIRyxcN6ootcdGzxu9R/IMHZUNO0DTS37tJDyXXRCD0io85wsvkzxg403lhw3jOJbyTxXhivEOX41XjaRl43pCwO94+UF4P/QDzrt0R1uZAzEiinmvWnKQN9xT0BWDPKp9PjM+DMcWKbC28WCOtf24sHyt1v5jYCglz+sxO2uHA/ZmXO9e7lHvfR0GKEyGC8OhAx0PQN///RruH7WS9AgG4Aw718K+D0KvzZtfDX+/PF+sMRnZfmNDNgLdQQTfYWU9zJ6ureRSR2ACvt+1uUdig55zdKerttsz76+eer6jmEAwLmLnjk3UsUZCXwzwfDelKWA1Dm3dDhkLTyELxbNO7e62KTGkHFrd+WGPhqErl/r8LimQai395bvLFluVEIvPIvvp/hAmxr0t54HgxIaCEooNUABJHU4+pbH4R8O4Nt3c3F5/VmwU5e2Nv9vIfotOi9TSssAuFlk6wPMLRDSF0zyrKANa360DJUwADLwhZjSXBcRYUmTDkOvmwj/2NTg1zUxvssa3inGd8mU35/lz5Xoyw7qNBV9YV4fNCOzup9hGHEAmjjn6q5fFXubqk+cJNaaqJbyKzmJf7Y3BrGxW2elUxTdjwT+XqdM+qVu0D/zjQKK+CJXL3p2VFFtguI4Q25dVWMA7acq7HNNrfgwl7eXy3d+WW6+hJ7r7Qug+Nm43lu2i87eF+fpj+wOyqCjYRxjEDpCqTkNA4beBE/KgHeu+Sl9QTu5L4hJq3mTtP77ZE85zqLZebDkUD7baW3HbxYbMLPG3144GfYMu/fCAEy7Ci5iCojRbFY5yn0ZGQ5//p8JcFdrgj+szJfN9BdI+cOEPYUl+lxFX5ioJ5mu348M2Esh/HDm1R0LbqJxLlmPkyb/jYj+XKzBENsrDE76fN6oZ8P2jXxgqk+adMNPg6uuyTcBJPC+mLATT+xQbM/94WNJ7V62+moxRo+pbZ6Pq3x9NpMvxfb5vH2uhJ4r1AESU3TkLL7VV2/JceVknjMqKyquN8U5eYQ5UUm8Px8DnXbvDg8iQmRzBedw4fmTYULYzeteDXTt4bAQAHYv9MGQmaI8QkGm95bnFy+RQXaYgFNTNhN9L9z8Fpy8ZFG4wbljOExEoGEC9M6xLDJhJQ0MwMfrvoJR4/8FjeJTRNyfn/Z7hT6OyCeszBdo6vGB31/iy0p6JWFPWKLP7eCzFH1W6649sy/E64sMf0pnbXhm3QmAmK5u7nDT2LGoF3qvxHa9Tpy2X4Yy/3F0M3kl89LBEXFC3TPnnlcc8E+Y9BEB7ZNXsOM7qpinV/fMub8u5suJbQffvGZfA/T+KrI1sUTly/66fZRYJ8zbuz32ITV7U4fvFerki+tzgh5M3biJlLDsvQz6Nba2XsTzN5wLfavK4GG31y38inGAaedPhDHOuwLs2S3fAPif/zHZwsWFXO/Q+D2EzotjeQ1BlhhY1J/wwptvhPtBWgZFNgJ3joB3iWh/h4hY8lPXCFg/w6J6HQbcMhUWOt6/vaP9j0z42eC3RT55wZ8z3pf1/ILyyzP7QhJ9Oct7Qa8v1/XTyYajOUF7BDZ31lXtPyrkXsnb7HnCpMU/rZYbrJmGCXokgR0iLlk4b+QOYSF3qMfvdfKMnXQj/a1t9P1iYe95Bybw4J8XPTcqdHBDri888JaVQwBwN2T0cSJWtdhft4/K5FsGwWqzjfT2ehmJOfj+hF6YDj9YurPaa6OSeR5Fnq9OHwX6W8fAmYkYiGWYCmmqWTBmIhyQBfwb3qt45ZXw20QCQsUacsgu03b/sCTnd3+c7wDWNAT2fRbPVdM62OWee3xlRNsI7Ayg1hwKa4nEIiu2+ZA8v6P5thnAmoYknHjLDPhPIeD31PkTgFGZfjfZJ3XzRVJ+r7BHUH5dteS8uct7ltbfWYvPk+H31/XTTXvqnO+jAPtq5pXtZxYL/J4nT7mJG8ZVjkH2tsUH16KUJ2IhKgfVPRtUzoYCv/qkyb8Hzs2e4vCcvXvq/hwAarBv3VOjvJnIPN+05u/LKxP1cDGoDJjW5rmYoiUDk3UklZ5T2hMtuLoZBlhDM824317uKqP5vb2b0EtLQzVkb5+vXp8zrs8BeqHEE9l74elvGwOnxWIwx5zMXMCLCF7/6xtwDPgA7+x62GEAhx8OwotIeXW77u4vx2VLdM5qRnbMbjP2bEzuxPKOl7bjdPv9efPmwumffRZO84dfDFUdy+FNTtRHpvpZj+94JHuMNACubUzDibdMhw+KAX9Umc+N90PEPSb4g1n+mGZLeT2JvtxeX5byRtX1Ha+fNjIJnlp7AnCAZBXcVXtBl6JWwOl50qS+nMBSz+ar5/kASwz+sviZUTf4H7VQ4Pc4cfKzRHSCS/BkGxP9tCLCd3XPjt65gOfZs8k5d676lZGmIxFxWTxe+S85qRdU6bl1ezmTX7i3Dyb0ZEmuXLoLo/hRZbtly9xmm7CYXoB+3Gg4Lh4HkeApRGmX5hzGTp4Mt/34o7fC1quX9/fT+sPJMQWeyCbofGMQw7y915t7a/bZvI19lxzPjYi82YD9Xn4SPDVpvxE4+WSI7bkP3IAAfzQjA0/OQKL95tNn/mdtcxpOunk6zBfgzxnzS/JeP/gj4/0Qyu8X9si1/Xxe3xvre72+V83ndu6lUg2/JMKuSoxefeBPHf9ZLEaqT5z0FRHtGhDKSn1zztWUazOI+Grds6OOygt8odZbn1m6CtFpwfV+VDDZ5xohRLiv7tnRoRruXF900M0rRjFUOpESe78sUbHEK9gJqvS8dfvSvX1UQs/qrQ+n+E6nnT+ud7T3UaC/aQQcUVEBj4uUQAE3/bOmJjhn3DjTk2dfMuD96eGHa+AlIjjCKefIpTkPyLNgdsBuldu46UnsBR2yHt96lBwmwAkmj3gCPMmiGun8/Abg4qvgCACYRkDbW5tJyT5p8Qj7vXUNGTjptunwfi7wu9r+/PF+IZTfSfRtCK8vC3qak43dyUgeaJC+8qGrtptUwDPg2aTHiZNuJaLL8y2yGSQEmNwdtm/33HMnpuQDBjx+jxMmHUkAoi3QulU+pV6uRTARlRMXPTcyO5W1kC/Xb1x9lzI9M1xhho7xNi/F1Zghr2dfUFJPUul5pLmB2N719sUk9KIovpPMkxtuKhotb+zQe/Hzvb+DX1YmQAxhzLsACQd4ZMHHMOLxxyF7oxzA56oF3XcSdO1YLtZetwZjBUpxUpxuve/6hWBG3zL2wiRkXwQffLMWDhv7elCt52zjGAHZAAwaA+07tYdaIjrM/UTX0DjyQOs9XLN6LRxy4wtgTmqSPX9jhXsyMvgLofyOqs87vEOm/FairxCvL9f1vWo+K8MfHMltef2UnlYotfYYg2tqs6pNe/zyquWF4MPZpteJUw/Wuf4vf1t8CNCz2gtrXwKmYEBMFwT+SROvJANudi5z4MAR434RoalbV61jLn1w2Bc95/Y1R2Qy6YNQ0b4ri1UsCEvqmSvlGEApsSCGLd11NPmi7dZbty8sti/Z28vKvIi4Xgb9306GnbbvBO8CQLt8N5pzuPP66+GK7M22KX0uwPeucWn/NQAHMII3iKA86+Xd2rv1GNiAl5mbDTowJ5fJ8b7zlCEuTanwi3sB/uuc26e10doBvwEQ1H/XXjADEM602IPNEu1nKRuWinMl/OSzxfDbGR+CqTPPgj8k0+8k+xzwh2X5W9Pre+v61sIbYjKvM5U3O5/PKe35knxpo7GPnuY7aZry7wcubf9avudBfr+m5hHl44Z1awhITHIoeFV6samC8NeFz40Wo9azrwDwq4+f9BgA9Xe2KLRuiIBP1j0/6vRivozYdtAtK4cCYKeYVv6+GkusjErqRQp2WtHbx9IWxXdWqhWZfMfbeym+JdIJi+tl0AtxzuBj4FVE+EWe60Kcw+XXXw93i+1yUXrxvgx287jSpL1rroGDUIHHCcyVcrKeP1Cec0Q5frD7MvAE8BnncNqdN4OrOvM8QgBhRsAfAnTrBnjGELgNkC4K6gdshmGfJHF86IZpMCwg8vGDX473Q0p8AWFPDHBjeX25ecdJ8unpZKd0pulAAFo5+8pOM4rFSvUJk14k4sc4CXWxf/5uWVM//+aiZ0dJxdcQxVf1CZO+ByJ7elr+U3M8ByL9vu65MePz7+FuccI9FG/fuPr3CuOkqWWvKfEKPZzme5txgiW8oCY/OzjTrtvLmfxwb08U1WvH528AACAASURBVIDjT+j5KX5UXH/H+XCjqsIl+UBvGDDsb38zM/1Z0Id5eQ/gc4zVvOIK6K4m4FHO6WAnfnf0GHYA53p/O5Zz/y5RfIInM40w9J57oD7yO0hGIJcBcOj/BZfDnwlprIA6t5y/JRLyfYBOeOktU+Hvhcb7hSb6MjG0ZvRHiHrcWN9f17f69B0Nv7dzL1jaE0k+v5LPSDWqqVTzEYQM11R0uO+5i9ATd+fDTvXxk6796UrlXBrbX4WzPDs27lvVtm1t7YDsDECPx9+r/8xuemPTErkbz38yUYIeRVX7fj6vuPXwht29bs9MY/okUnFtWbzq/SilXqD1NmcJz5qsE6bSk+v2/ky+4+3DavZedd4KKM9D8e0M/rHxOIgpKjnltJzDZX5P7wd9oYCX79W115pjwwcSwN+IYJdAp52nxi6V9UQaHvEjQLiyQoUXr7uuQDlwDgPgp/7nXw53AZAnCexpBLKy/XoqA8fd/gC87QF/Syl/iNf3Zvitur5fzWfN55OGdUiCHlHaC7TsRij5mpvqD0Sidpoae2b6FW0X5wO7/H718ZOPAuAvO87WYnROadbJyfnq+vYBFIXt/fkz52abvTwPZY+TppxKuvFk1gxbXMLXDuxfMss8RLJq5wPazJ94oLnWWqGvIePWHsmJejNUvkmUVX3VEpof1YHnjtOSG3GC0lyRyS+kfBfl7WWKf+3xsN0u28F7+ZavkmN6Qe9bCngB9pBrH2s24FQAOI0ITgKidlnvbt5bskrDDH8kgqcR4XEB+BAnDAUZgTwGQHh+QftPGyxUi9QvOhwhAMa+eP8/cMDji601/MLi/VyJvvDyXlDUUwmVJgMQGf5sA489piu8c887pScqyRdG95PN9btxMnZRCBY8cGVxcX6vmkcq9YZ1a8VSW859zgf8LCNnOKLu2VHTnP28wD9u0t8I6c85LYpv/W5BDBmyf9Y9P6p4me4tKwYhYjumxT6MaVVrc9N8twtPMAB3lp4l2nFWw3FHalmCHWeyTi5v77TcNqcgoNDL6+19WXzh7e/8A8xVEE7MZQA5wMPXXwfmvIKwrH2hXj4C7FEfrSQBdiQdugNCd7FaLnBYAhosKQP/PN/c5junESgA/P36QbzLHvA8EB0q01PTKNmtweLh1Dn+9bYZcKOf8jtZfv/0ntyJPsCoDH/Q6/s799ypvNZsPqll1+7Dl/X7QskXRvfTmfp2PJPejxGtnXFl59mFOklnuz2PnzAfCQ5wLHywiS6M7BMgY/fXPTcq2wjmAX71cRNfJKBjPJLAQBbfTwHMnuu7654bXZBe3PkCNX+isni3NcOAG1yNtXlHA+CmIs8erSUkuk42P1Sp50vqNUOzOXlXLbCEV4g014nt89XsZW//fzVweEWFu9BkxI399OOP4WBRsisV9EUCvtjnq+DtIw1ABPhl2j/gAujcrow+BIAuHqrvaPtNxonJNeth/zteAHN0QT6vb9JPSc4re/3oDH9hpb1cLbuhSr6Q7H4GgOnp9b/moLCusfbT77wEA8NMcl386uMn3gMEF7pZEZ/Oxm6DdsdzW6O6GLD5dS+MOjDg8cWAyx7HT14NwNt518bLLeARB2KAg+teHF2U9Trr9vXVLKMfwYitLa9qu8C7vr0r2onK5stKPZnmF5TUSxNpiSqKUul5Mvm5yne2t3eab8RD+b9D4V8/0eV9c9y8dFMT/GrcOGuclp/iZz19juTd5gJ65zsW4v3lxJ8Av5PsG3UJnAhI5kRZISJyu9Aczy9CEfbCbTPgNL+ktxivL0t5/V5fJPycdfiCgp6oJJ87nsu79JYzl8+q6Tt0Xx7D3VS/rg9H3o5r6msPX9pmUcFWFgB6HDdxACd6OGqx6mAOzmYASKl9q9pXOAm+rMff6+RpexqZzKJ843sDMb+oE2qx6s/nDS8qUTH8jjWH6WleDaB+l6hs84Mc37uiHSebn4/mu7X7QpN6AvTuDL2gSq/QTL7s7ccPModpTA67kVkKS3DV9ddb47D93j4f6Dc3wPu/Zz7v74Dfn+wbeSn8HYiPttRiri+TFYdGBgf89Sl4uhCvnyvD7/f65jLcVVUgNPz5k3yufr8Uuu+U9ZIN63cA0HdSY2zRtEvaR3RhhJuDfU+esX1zOvlD5DL1QUKePZCM0yzwex4/qT/n/LESlEFr6p4f3bHYaTsDb1jxO1BZRUxVP9Xibeqd+F4YAJnme0Q7Tja/ZJrvT+oFS3gF1+19sf3Q/SBx+H7miCxTnuoRpZiX3iyTvTFlEhzjaO+L8fabO+hzen+b9kd5/aN/B2U7d4f3AanabB32VRzsa/fpHTOwb85Yv+C6vhXr+0t7bpIvWsmXj+7nFvNYKr5Man2VbqT76Aarf+jqjqI1u6hX9XETviOCHa1IyJvF9ztu+cCM4Wl1z49+ytzPeaP6+ImXAKfbw1MD0TUpBHix7sUxxxVz5sPGUiITXz2QFOLBMl64Nt/Tdy8Bv7VofpMp3gHIRfP9enzZ2086B6746aZmCXqgJRZBb0rDvrffBCa12xpB3xLwj7wMjuYGf87xZGFDQvQ0nnrDPHgpl9fPp+YrjwGKpbhai+5HSXjDOvYc7b5Q/JllPQWZ1tRhzvSxGDkNNwxXIhcHRMd4HIy9YQ6HL4zEVXUvjL7FD/x7iNOFuXYMpbCItyx+YbTZK1zo65y/fb+9rlQew2JqfVm8cmEhZbxgJ17p2fxCab6c1Mul0hMKvSHHwpcE0DWqOYYTTLrxevi9c41CgR8S128pnr4g2n+tV+Unx/pi/2EXwwuA3Fw6yuwTEKVG26uJ+J+AvXb3A3BCzrq+6fXdBh6nZz9Xki833c+f3RdinmDHnqvdDyvrNSXX7QUGVSiZhpcf+MuOWSl0IRjqcdzE8ZzIbJbKh1fZkSPAjEUvjjEXr816/B7HTniKAE7xf3BgzoavQ19BZczCF0dNLOSEnW2G3rGqdyZDB6iKtjKeaPNd/vjenZcfrs13RTth8/TCe+6LoPl+wY4vqTdhIJymxeAhj5eyr7hNvZrWJaHHvbfC0mK8/ZYK+kjPn4fyn/0n2D+BotGIzFZeQWPNrkGpfyBlsIPHPW0lRp2JPZFJvpwy3jC6nye7b0/pccQ8+bT7VtOOt6znxPmp5PqddIN30jT+wYxLOn5aDH56HjvxMk40ztwnD/Jl6o8I7y168byD/cD/mAD2DpxAHu7PCI5b+NIYIfgo+DX01tWHGEzZRSX+X62s3YqWxPdpZ/FLqYznF+34JbrFZPPzCXbMuv2F8BQSHOvUVv3GkgPccNP1kJVabu3ePhL44o08Xn/In2AmEv+dM+/P9P5SqyEneujeWczU8ecr7YXV9COz+yES3jAxT9h0HpnuOyo+z3JbnrKeHec3N3RO88z2GsI3M67oUNSI9OpjJvYDpLnOtfGuexGu3LPvyfJFL47p6gF+9bET1hNRVT7Rvz95oGisx8JnRxdVkhh08/ITALB9LFHxpcqVhnz1+2Lj+7yinTRQVM99WO0+F80X3XfdOsFCzsnqZrc7z5yMtOhaXFoPO065E8RSVwVn8rd0b1+o1/dn+GsuhB4JhRa4YJd1/ObwT/375bjLzHdgVWTnXpF0PxEDzCTrc2T3w2byOdr9aBVfNs4PqefrhlGZhuTuYOhrZl/VpahW9h7HT9qHOLdmNfgcc+iSWlnOhLS7umOZ6M03qX7v4yZ3yHBjlXWckDn5zmz0gE9H6r69Vl5sK+7A29b05xy1hKbWaaRl3FVyCq3fRzXlCLWeO0FXqPVyjdaSJbqR2fx8NH8wXMsYZHMcste3Geq0m96E0c7orEK8/YYCfb7Ki9ByFEzbitgwUObL5fUPAxiyH7xCwH/rDuu0ewnMi4uQMfC8cfPA7G5rOd33S3j9dN/V7rvz9x0Vn7dpp9B6vjAIGcxomYzegxhl5lzW3vTehb72OfaBiiQ1m+O7isMrQEyFPRY8N+ZL80bvddyEAwwevhST/8DyySHij4teHCOknwW/+k4gba816/oBU4yy8sITe+EyXVG/LyS+L7KM5xPtRGXz21cAjjsTvuBE3d3pMqbjz/a9pwl+fccN8G/nAsnAj6rbtzbw8wHef/Na2wCEAV98plzX9wzvuAjOAuSzLCprn52tWBExPwd89tYn0VwlJoru58ru++l+UWW9kDg/XL4bLuSBWEwoTJEzwMbGhh6MDPXz9m0fnz8Gi+pzqT5m4lIA6hqciplbcMcUPLLuhTGvmcDf8+j7Rf+9uc6Wf+JOrtl+5ijtF8cUpdEfeNPa9iymHImc0v7GnHDhjmABYqBm3NTnOwM1PSvklBjf+7X5xYp27j4L9i2Lg7n+uSPQkUGPCB/d9CYcKHt7sa3TjBMG/NYEfbGA35AGwAN+X5LPT/f7joZYjzISU547OZTf7T4yRT7Jb5bi9g+9B02Fxvnh2X1fWa+IOD9Qzze79dyltpx6fq4En2jYIYYxnjZenXN1u+xyZIV40epjJrxNRAHsRSr3nP4tpgxd9MKoB0zgVx9zv+gZN9Vk+WZ6eWIKhAcXvXTewEJO1NnmnDuatjeM1C8QtQYxX09O7KUhDcycpisr9hzgCxpvr4Mneuw1s+3U/FcMgzLHZ0f03hfagps3vvdl8+8bDBcpDG6x1GZS9tn+ssTholvfhvEbm+a3FPAbwgAUS/d/tw/chsj/6J/O65ybwdnZt82DJ8TvoXS/mDg/olU3TL4rd+vJ47ejEnwy8GMQA+HpDcNK8DU1rdsekCqA83/PvrLjD8XgqPro+0Woc06xgjuGeM3CF0ffZAH/6Al3/LS07p8czyU36fhPxkMkEG5a9NJ51xRzwqIHX09meqtMWZsro+/E/a2Z2Cuufh/Sd+8D/vjBMJchnGAOkrCpkZv8BKg3YPfxN8N3YTRf/M30+FLtvjW8fWuD3jn31qD/fq8fpeQTn3n2xXAYGfzlrKd3qKjdHco5PHTbPDY8EvhiwdHyFQjQueCmnfz1/Gjdfl4hT0RmX+epdmqi8tPpf0wUJXmvPnqCOZSjWMEdIN6+6KUxl9kef8IkIDq3EADLH8QQzq976bz7C9nP2WbozaneXEntxlRYHaP4Wl2NkaIA+aW6YcDP3ZgTbMMtKbFXYHwv1q+/4AxYygnaWIGo1QXl/IuEi259G3pvTJq/oUDfWuAvhu4fOxK09uWwEoCXO14/mzi1GsN+HD8Hd81V1is8zi8kwRcl5BEJvuiGnfDMvpjVl8Y0ptpxHTpAWv965p87ZIdkFIKnHsdOuIg43Z0P+AEdDuLUxS+PGelQ/TnE4ezwGD96wgdDZeDCl0Y9WMiJOtsMu3XNfhmFdiiDxEpEpb60jL63/z6qMack4Y4N/Hz1+9vPggPKNXrbC3iH44tGd7jvzrfhjxuL5m9o0LcG+Iul+2ftA08T8eP900Wc35etYjtElfXCBnTIwzhzJ/iiM/sA5SIzjroYw2VO5UnawAd0FHz5BnM40l0io6oZkp00A3+YfkV70Z5c8KvH0RNHcDKmFL3EHeATdS+P6WcCv8fR9z9BBKeFUf2AMEj6AyrK6XUvjDJbKgt9Dbpt3UEARicNlJUaSzTlA74zXy84eKP4jL5fuJNLn58P+PcMhj+pADe6q89Yk4nE7+LB1An73f0OzNsGfPfJKBb4Z/aBixC53T/iXlvniJkkO/Gel+G1QhN8/im8obp9O8GXs2GnhZl9B/gZppdn9FQnUJWVsy9um638FIKl6qPuP4sAHiomGW85dnyj7qUxh9sx/viXAPBo8wPzcAevgEc5ZvEro18u5ESzHv+Wdb9ME7Qta1u2XM1oKZHQEyU5pobX8GXgB8doewdvRCr2Av33RP7ZenkTe2LByx8AnN77+wbBVEI426X5bpwvvusPy6HTw4thXaHAb0l8v7G8fat7/Tz1/JN6wgFlKn83Oy9QSj6Jx9Tg7Mq7n4V7snF+6BTe/Lr9dBIRpNV2/P35UQq+3NJdZwBnULPv9ObrWibevK65SzyhrZ12cbkYwV7wa6+jJ5xkEM0L1PED3Xpupc5m9J8sevm8fSzgHzVeUFazNJCrbm/uKI3eYgo7ZOGLo98p+GwBYMjN6w/VkZWVlcWWa6BlDOWnxbjTaSikB7/kUp4E/Kihml7gh4zP9iX27h0ELyHQoU4VxF4E0hp+CLj09ndgR3m9u3z1+1KBv7FB31Lw54vz5Xr+8RdCeSWQWIDTrOFZLbtu4YkIZt/1LDNzU9GZ/QITfFJmvxjgl0EZmLRftQBulvQKGMUlavkZAK25ubGLqvDmmZe1easYHPU8ftLhXDdey7u4ZfCg3yx65TxzKS6oPur+DwnInBrjl+zmUgZpqrbfpy+MLGrZ32G3Nv+GFIhpCluhsJieG/hSKU9aFDNqtRxTtSctiCk0+p5SXsFS3fzA//sgWMiBdvYsQGEPkuAc3rzrX3DUNuAHn7pigC+W4e6/N30txr17klTOYqCEn9z1LJprFrQY+EnAMOmup6QnDeAM1eyHTN4Vmv2oWr7B02rG4J3RgPT0K8r+UQzwexxz/4Gc07/z4dVvGBiDJXUvn7+9U85bDETm+tu51sbzn5imant++sK5XxRzwiNuyxyaJl1VE2xVnGJGwcBvjRp+McCXpLrO3Hyn/14o9q4/Hdb/NLpadWJ6eZEDQpx819tw/obO6G8qb98Sr58P+OLYWa9/GEC/PvQiAIk1+FwVn/MzYtPdz2BH8Z4/zg8M4SxgDl9e4KctzX5LavnOrH3h8VOYVvQk76gSGMUCv/rYCT3BoM/z49WbpUPAlXWvjOlsJ/fG/5dzc+pqsMsvuHheFufItO3rXhq5pBjgD751/W8QNBaLJ1apCLylwA+bsRc2UTeqhl+IRt8P/GtOhO7btaMvXS25XcazE3vE8cp73oU7csb34qK1sIa/tQFfXBJPj/5hAKf24v+nIIyRM/sm5bcfuqX/ZV0e+QjqCwG+2MWf2S90FFfUQhvFinhk4OsELJ1KdtR5xnjwquKofp9jp+6Y0lPfBbL6vvpdIGXHYP2il89va0l2j7p/LQK0DfP4uUDdhrF2818es64Y4A+5rflQgAwkElVr8o/Tzq/ak4Ef1ZXnn6gb2ZxTYA3/pjPh4IoYvE4IazjBmwaH95DDUg6wwkBYvmoVLK79AtYXmtgT16/YGH9Tg75Ur19sZv+wXaBTRTnshgSdGYcuoIjRZsYhCOzXBFS+Zj3rPest+Krlmv1gLT985LZXxFMq8B31XjJZ3x5Ag5mXlRUV4+990uz2yeb1q4sFPgAmF796Xpnl8Y+8P01AmnUz/QU8v81wYV61B4vNnzimqOaCwbc3/ZqYjuXSHH1HvANpa1FMebKupdP3ynWjxm1tLOD/+UTYviwBnSfPhQ+hAri4Ip9+BtC+m7ugRfdqoG3AzxPjmxYvx1SewwCWLHKHxaz5EbB3L+uYnTtDbP894eA16+DT2vdg7aYCvpXZt5N7GREKJM1pPHJfvhPjQywOqt2gk5XtZurbIVdp1qXlRSXJ+46eoNV/wdP5BDwBPCPxRa+crzjJPZ24vTqHD/cBMyAtpLNfp46qvB5XIZ7/7HFNvxLylsqyqvWlDuAIAj/34hmt7fHF8A3nu3bczvp5G/ALufsQXI2nROCvWuoahA2l3it8kY3cwA9fRdfS6zc017fRoAweuFz7Z2FX0NpKrJ770apVun+foFLPuzAGIhqLXjlPtaj+EeObEKHMovqBul/2b/4P6dixY/k/awcUtSDAyDuafpHJAMQryhqjgG/O1xNLYhvhVH8b8E0hhl/QVsxz02rbFqvhL5bqR3n8LQX4AHGIlO0ywFRjcwWLqzT94lhRAp5f1TxStmrVqqZi8Grju3nxa+eXOx5/LXAyY/x83T7yE9NGKT7GH3hTum9MyzAtUd60Dfju1dwW49uezJfV39qBn0k2laczGp9zdWx+Mda479ET2tZzLjQO2Vb68EDdN1iHsXWLXjmvne3x71sOgJ0L2lES8FQk4l3+89yIFcWc8LA7G/YjhkpMKU9uo/rbgF9qjL+lePx8s/fSRlMCf1pFc/qfKovS6u9z7PguzRla5vfUgSKcfzQXwvLFr57f1fL4R47/AchaCCLfSz4OIuyw6NXzixoNPOyOhr0BY4qmaRk/8LeU5N62GN99Sn5+VL+w1txCk3uZjAhcyZh+SfyTfNiT39/nhEk7JJP694EYP8/oPAL4YfFr5+9oAf/w+74CxF2tGMDbjec/sFw+iCHbY8GrY74s5oSH3JnaizjGyuKavqWW88KALzzQHwZCJ1WD7hpCAgl+XLYYlsybB+kNMWdva4/x9/8dlHWsgu6I0FVPQ/1aDktmPQBrnKz+pvP4rVvOa05l1ASj9OQ/xT8vBkd9jpywe5r4F/mWyQ4ek75a9Nrvd7eo/uHjP0GEPuZGebIF8gcxjR1U99J57xdzwiPupN04pSu0WIwXNE8/YtksZ/rOphDwOMC/8EzYraoNnMIQTkGEX3Ii1bmEpsQEhZ4Pv+Icnk4b8NQLX8A/Xv4KeGuN3NrU4C/W24trE6Xcq/kVxHZkcLSq8NMA8EROvJulhrRelkISk4T0hpHhT69v0OY9/7K1TkFYVj9MuSe23ZwEPEkGiOk0Y4lY49Tf41fF4EhIdkmnf+cDftCR44LFr5+/t03173+DuJhqmn8tLk+TDirHL3xt9AvFnPDA22jnGIM2mphCxIFaqtwrauxWK0l2rzoZdu5QBtcBgwHi4Q9M1pUXfnS6SsQMTsLPUgTXzKiyFn/cptwD6AWAOy2DoQrSdcRpBxPkPuZpXV/zUbWMgPWcZgxOE5etZDc//QGsLES5l29VnY0t2bWADywdg/Vz/oBixmDBr55HjD/OIHo+n+om0FbP2JuLXj3vMJvqj59LQP0K+VQP8BkOXPjqeUUN4hh9V/NO/9/edQdYUZ3775y5ZSuwy9JBbCyI3UURQUGNvUvQqLHFqJFmSUwxiSEviXm+GBug0ZjYookQ1NhLEFABGzaMwmKnt13Yfu+dOd/zmzNn5szcuW0LoGH+gL0zZ9qZ8/t6abGMingkahUUsruDJOlceylcZxjwY0SMedzdmTlVU99Vl+R6dTL23K4wjME8k7Pz7vsDrFdzXqhVX523vbh+e7h9kOMfNxmGRkzxCCLs61Yv0ppn+CoaEfd3QqK9dWov30YT4drHZ/EH6Ievq06giWaHgd/JSToUspswU0aJYdXffVWxW6ItHxwOO/KOcy2Eh3ICP5CmCwiP1c6/4kwF/D8DFF56i3E2pfalK2bk86BqzA9uxgFtDHpBBKw4Qo4knTgG8/ENp9BmK7Tafv5IPhV2OyEt96wDoHjffeAeBDxd5zxKFtXr7umsya3F52NXNgdbJSw4/d5b4R369d8G/OMvh+MNhg8LFN19GY5EKVX2XaCWoZ/re/kRNH8C2cw35vGfrGiVX8QW9QsB/nZIy00wMMAEowhh45+uYQUZyYcd9acpQojbc/nx0yP72D2186+4VOr4Y++8kTH8seJgbl3DEET73QVsWu38K0JaPWYmBd+/FfskRGpQNBJNRQFSX4dCHKOqIXb8IfAcQxzp1X1TU+qIn87PsP55LuZVC2hFhYG3WABHPnALvNVe4NskZBsH87SX2yuOf/xlcAZnYhZS6TzHrORVKZZ/KfTbXmitO5G90FU5c2ccnSE1Kj7noafZBX7g77iFOCgfP2WmokY8ueq+SWW2vSLfbdhRd04TAn+VO2TXf0UEuHHF/Ik/lbH6R975YyFQts91JtnpX5DV1scYu2v5vCvsrp35blf8HiuaihuqQaBVBMWtX4fSW786F+7hTJwjJ8cBupsa6gFfLcjQ/u5SMXUrHMkMM/Kg8DWJJBzy9xmw9usA/o6C/thLYf+Iga8gYmlYZ2FXctJALcuXe/Ynfw0ESSSUZGUK/rtHnoUbctXco7O2d+mtpGEWCTQjZa3dau/8GSuorv7QcXf+SSBenguvwZJaX1X1/vHyBRP/YAN/2FF3XiQsvNemvrn9gF5wH4PnaudPPCFf0NO48/+ApQwa94sKtHi0qDkX8PXy2rLKbnp77K4stnnVZXCpYeAtcm68uGevnLa3U1NP/bnjzgTpzR8D5bgX338LG/NNB/78D6G0uFJ8AAiDdf3dQbXbfUitw6AKoGQBJSWoGodq/dnSAGfYmuSnz50Dc8GprZ9P80x/N51tU2xTgFWaskwDofz9B69lzYXgaOi4O55FhONz4TV4TW6wi5e9dMV9TnbenUcJS8yVtFOWiab/89g+ql0w0cmXymM0AIybNi8yoHvNSCYAi1l8645cXvvUkb3K9xsGSwGwp1tU08G5Lz/cBXagsYbe4llruCEXriOkKX1WsPN2r4CCDKXBGe9qkb8j3J6e9bU1cD3jYpqSdtJ0eyWyq/l0X1BxdI+7e/PvlTUnaislBvbRW//mI79o24h2Xf2mTQyqqtJceT16ACRaqZvO9imv3Zi0uhtxkyUHlL82+yxm5YcgOap63MyPEGFYegWeoCrkvyo32NHLX7riJRvddjCAZdmVdNJq7mXOyiUy0bLi5YmlhTwwjT3nloZRYIFBqbmCgci3rr7eSafQ1FxobKTGChhNlufZKXcj/PS8XtMMA3+oaKDi6HrTDI8LeeKmC2xHlw+W51JWflc3tcVY/tnu3WEYULGCDmxdBf6Ogv799dCrGcXHDKFcl3Z8ANa8Ie46VEq9Euc1sT69vZZDGADBTLGJ/3pu84M7akMNThb95sYKqxjMv1/draDMPHrLIWNntgBAcS5GHfTjxyMRO+jOBv7wCbNi5oZNlGVnG1v0LVeAADCjV+38yzcVslYvvKm5RohkWbSoxxYESCng70gttIb0h8jZx8DnCNjdZ7Bzubtn3PP58e3jjsXZN9ZblLpOqnN/FOzbQyqhoM6pYfPe2eDv81jb+AAAIABJREFUKOjpGRetET9mDP5XSTp6yzFlSPIDWVpMSPb0VCT5tpKrhxj5nA9lfw/Glj76JLcLyLblKru1HVpoMSq02dTUIxbjTff/qLSgBB2K029LUJx+WKk8OV8UYRuyiUjvquIPZ5+VdI9WHzFzNYIsv6VvwQofQUIQNSKHfjjv8oJKA3//xsReSRB9I1GjMRqJtuQXxLNtm2Ze+72qceVF+IQLTGciXa6vEhm11lly3mS0mU+f1/vqaV13vDp96mPBA3v24BcVQkSzje0oAegMwKvnW7QGFwLDUe68OMZOlxAEOLtPlXJprNSLwo55xNkR/RGgvtnY+7mnNq0kMX9Ha5qZMlMlZsoqjwFfd89PCgvXHXLkXSOZsGSz1hwh9gEsr65dMNEOknKBP3TsnYsQ5IdRYFcDfI6rgBmRIbtk+ctX/LWQxXrub1sHsyjsacSwpdgo3qqAn09t/ba2NvAMfIU31WiERogmEWNF3TBbCa5fXV51EzfwMvVerhXemTJq12xPn2PK97i+nifpDzlVhIH+t8+3Z19bzIzXrXkX+owbBwXpe7nmvlAC0JmAp2eb/zn0icXFahRIsWqSa6cF6hAndwig245MEVJp1g+qBQ6dDSnCKSWClMl+PGdO3Z+y6/cNbHu0yW61zO5WMlGCKePjh39RXFDU3tCxd1yMiDbmQvz0GW10DNjC5S9fMcYP/CNm/g0Bzgum+eWqs28wdvOyBRN/mGvx6ccvuKGhp8lxBEeRKI6XbGyfZd/pnOt0zJUx+1SJBzAZK8FICpCKbrarf95XDzttAj7DAMbYerhr9PSMcroOGnQ1KY6vCKg63wd4KY/aV3evT73fE3zXvfp5jTYLmddcY3MRgM4GvHqeV1bDUZwJu/GKK877OL50deoivS5Zee/ljXEJrbb6gzEUFrIH/jmPT6Yhmdtn5WPYa7Gr65opxkqKnTr6bsmtNmalCm+flUi19E4IFo0jX/LAdd025/p2+vHqsXf8ERCow3WIF84jBiGE4aEVL0/6rg/41Yff8TMEvCFXyb2g35ABe2H5yxOPK+TBJ0zDGC+qP5ojYlm8bKUNfCOWV+PMjhr4okXl2JZHzP60b8M7wHAPHyd3uL2vJbYbOuVZ9P1+fKXvqyupxat0WE+ukguXH/bIdHi9I669Qr5FV4+lpJyjv08MxXpAzoAXKKJCcJXKI6eSOaHN2ryoFewL3NF0fTfAR7ItJY0hwAuzXzK+3Z5QXbqlmQBGXXRiTlltM9UaAnxZc0/V2tP75oVX3kky2t+UaBokGGOirWLu7GksWch3qB478wUUcEzYOWmqueae/yq/4ee1Cybe4AP+sLEzTxEItk6bbUsLEaR6iK9MyiuXX7/uBTfWH2laWFxcVrFWACTCLPsJKr9FRCFDCa5sjTVaoBkk1y9FaqwB0ATReJktAQR76G3ZAhArAdRLbU87C9YJIUo8tUfnNjKazBX33cgx5Zvz9Hz3fI2jKQ5P57tBP87kWMjHz5kh+75/3cGvMvGOvERc6xn21CrwXHRSjUp3QyltKpz769KXl1Wqc32BbOk/5/HR2Zpluq2znJ55AGVAtfaokUam1lkAxZBPdd1MtfY4QLy1qb5fxGCtD/ykYl4uzAWPVx9xxxpA7KfoqO4pTsOnFpDHGZy6bMEkO0HM0/GP+PNuiMlPs3rvQmrw0hWixfGe/3n++3WFvMC5v6s/AA0cVFRctDnGirfkNPBF4shJrHeq8AK0AcXtp6L56vkA1FXHK7yZXc+//tuwEsii7zPMeROgu/FshqQZ7ZSBz2+I8qzUqh2UnC9N56WPJPhps2fCU98o4H9PXM043KTPkR7s5Ho53GhIZ64cISm4JhWh0NdbGHFAZO/8cx4f2/4uuc0slmQMSkrATAKTXXJbnS65zG6bBVAE/tZZCft4tg46STR7tLU29mQWW/nwzwvrkjvs6Pt7WsnGTcpqHwR6EIN6Eg9jsd2Xv3zpZz7gk343bOwdjQKhVI+FzpX9QxcxgB+/7JUrCkrP/c5vNw9C4AdFo6yltLj76nwMfJBIAJXazhTB5+n5JZip1Ha+/vzfXFDxJmNQrSZSiaUS5E74rfNDibBukI9refZmz3e+c1FdxFXSLCI/eM5MeFvd9+vK9fW8+3Hfg7OBWQ8rDu5a6VR3YQfZ+iLWNCh7Knxg16zNyujqVyEc3RfZMw89vfWcSqiERFxSWGqPnW8TDU/MbwnR79PbY0NcFtb0Az/BIgZjwgQGsRgllrHm1q0DRApLBIi3//GLnmlVdLIx0GFHzDxWILhYSzfuBXV8JxiPQdPyBRO7KTuPz9lXffjMNwDgYN0PmMuPT8cNzn697OVJ0wrh+FOmYHxjn8YTDSMJRZH4ChGPiWDXXOLwyvCnh+7mo+dHYul99GxxP61zrrTuB1tmX3k+PsE5jNWtz8qUIleiptMrqUAWi3BMLjIKUqoD/s0d4+No0tCXRD7giZmywMTXFfzBSrpHXAKHM7Dme/K8Z9RUc6kb9+xp0YiBS3y1OcnN9REE8r++8DS/mk5TwA+Nz29rtC37upgPUAqZuudkqqUfqt+bHvDpPJ5I8jYzMcREg/Ve2+Pp6dNZohDcVI+Z+StkMM11ZWTpdKU4uzOVr9e+MulQda8A8Gf8GRHs7qPe5uf5YfdhjD2//OWJxxfyAjT2nN9sPt5iUFpWUv4FRqIt7dXzw1J0oaUFkjHESKpUs+57en4ut97k8+BXEUNco8RQv9FJrUsJbE9C8nzIau16a9ifT+5San2Bc7ZqTiUbrBfo+LqBP618NgCMngrl0WbcIFD4axjo6bduXITntnNJZoAI6KTUUx88G4GSvMw2Nmnuv/nfFPCJ23thugW68WwDnhTzfR1yMzTRyKTfMzNV0tTSOBgsaJr1q54FScn0HkMOn/k8AzhWMaRccTbqODf4PcsXTLw0FPhDj5h5iRBwj56Wm579E1KTj8GW2pcnVeZyFwUJw4SbttSwhLVHSSy2IR4v21BIy+x0f34x2sY+k3hFC4lcPree/fG17rm5wne/eyaMqCrDuaGRZmk6vaStLhHQUht9BiqXQqj48rRGkDMf7cWnhgGf7rCji/1hoLe/+a8AjlhpPftVAN+xPrUoJMNRXyPKLerPw5cjvHn15H5X1bI/BxNfbkoN+WhxfFP7xXzpxgMoAanfkxjfyqIpqd+TG6+oqAgKaY2dSLT1bkm29Ma48cnsH/UoKGJv2jTkD8+9sw5RdFe5NGlJOoHCG5r0ftlXRvg/hwJ/+JF3751KJT/QA3iCYM3YlpfD8BUvTyqoYOD5v6rbJWnAYZxDc7duFZ/kys1Pz9QrQmngk5Z/An5YDT4gC79u3c8g7get+1O/i8uBYV/dAOe591T8TnplGN8YuQjdiLOgpdpL5QVIIT/uqd5g+7szgX9HJAAZAe+Anv4bs0b8AEycqdaTbtwLWvXTbAFamK4XDq0BXkWwqahJov2CLX7xWcOWQgn4QW7vWvM7IOZbqTYWiYDdMksX8z3Dnl/Mj0EMGhoa9xDCLI1ZsOjBX1cWVHVnr3F37mNZYmlWVTwtyU7OUySK+3w4b/J/QoEvKcoddYgou2nmERmkZfJNqn110h1BQpHt9/Bp/4ntG+k9gT5TSUnxBywStbL586m7TlgvPQJ8/uJ+0LqfOWnnB9+BidGI+L2aBz24yeNGktvrlNcXSOKcbBMDTWuyF7tmpAJgS347j42kYW4xziwEYEfh/tm4vPr2/5kN7Lv7QUlZsagVQIRU49raOlPzrKQsd95V7QKt+Kbk+s4EBlQG2t+aYGctnGs8n43bl0M5pGw3XjANN2DNz1PMp645pApk8t+jmTJaWlr3YQBcmBtmz562d0H++6GHz7hCIPgwlpER64UjONt63tETK6dNY3afR7UUfdgcMmbGCwzgGLV400T9gL9VrWXO2L+WvzLJLUuVLwH4zu/qTmIAFdFY0SdGvHgr6fmQTIIsuYXob6LpL8XlF/eLAlw/ez89su7bwTxFX8VANTQAhfC2JgDJn0/PTj79oQMhesxRsASEGKwvQl9pKI06eoD3RHm5QD0i6lv02oIVyI/5/QJwfbr5gJ+utb0IQD5cnp6PQK/e+QeHikstgXd6hFQZSUPmR1tAvvlzzP0ecVDVd7zAKARYOPcZ40S6hB/4lILbwHRuD+XlQMDPv0+eZ80vRMynJpltidbuVmvbHtyA+n/8vPLpfDGixg09fOZjiF7pN7W2fBWzAm44mzAwfH7FK5N9Nri0FJ4hh8/8n6+q4/zSpQzBYn2BUAvNBdMwILp3z/nzj0xr5JftBc/+n00HmyYMjxfxjeVlFZ/ncuvlY913K+/GqCYfoB7MI0N4g0Y+yfX12H0F/gvGWyd2KzEeFkLIudLEdkU73TBUnQhogNc/kPpbN1AJZHM+XsDOnh2YqHzBr07raiKQFezuQ3gvoYOe9k7YG4yKMmuhQBjhk3bCqhJrvhE5Z37u7vOV6MY/hMSWZvzWWy9H3tdBnzn3vomVQZnN+TMF7VBXSanfh3fGzSXmKzdeY1PDrqlkqjfn8J9Hrq8qqFfeuHHzIqtT/6HQ3m76MsldgceOhpxW++okX4m8NODvNfpPx1jMfCHECxWKX1+AADfGLH/lioWFULJzf7qlIlGSPIMZ3OweK39bxMFx68XQNAANQZxfuvXSGmlqlXcpoCcYzJOPkU9x/ViSrr8VWhPdfVyf3uXSs8TPojH2Uz2TTI/D17m4Vx9Oc+c5s2wTSSek1D5fEof3N6/kRyx8Cpqp8QZdq6MEoDMlgbzAbt8wC+CdQx9+COygCdA/VmpnlvWz15hygdoLSSY4+VQlH+AlwpURT47z5zqYgl224HnjkXRuv5UBdIdkhhRcGu+F6AaNel7QDgXskGFPBu34W2KHNsg0kzbB4AngW5ONB6ElIvGW2GMP/2+PgkptVY+bOQZMKlmWf1NbxWQikcixHy34wYs+ghEE6bhx9xatMVvqAbFIY2BezIWm9wePM8Z+XftqYf58usb4X68Zz5BXxIpKa+MlZZsyi/txGb5rqwH0SG1kUXXKcYUl7RTbHD+jT98J4c3k2lNcvw7q4GfnVtzDGU7IJLaHEgJnctN0fneNs9UtyMa+eCe42VmZwE+XKlQCKIQAt3tsFsDbXF4DvbrHiIvgEEOI54BheZjP3guEUq49vQCnCvd3iIB9Ufl3ysT/e/yFht8FA3ayufAK9917STlEBISj08ugnYRNEMi4Jwxm6/rE7UnMT7Q0VSWTbdUGE3WP/LJPwTUXho6Z8RuB+ItCK+4wBonyimjlkicvp8Id7pbG8enIkNEzXgCQSQBpkXvB/F9d1mBsyYpXJ40odBGdO23VASkePyQSjW7uVtr9o/aK+5li98N9+tLIp+v6iuvHi7tjWPz+lSfD9YYhfqQoqa5b+XzLaWK+Q6b1/cjebGxi4x+aC+v6VwPCAm/WFPhpT5D7pxEA2lFQneNCv07IeA3sdDQo0uuAp7+J07tXGUvJHcCOHwfDi+LiURRidy9kVy+t7YHdtmK7Zbe9ICnvPJ5KWvCj5xfye8PDczNz+zIqeWSL+ZSQE27Uyxabn6+Y39C8dS8zleoZB/H6367v816hX6F69Iw3EWBEzkjagEjAOP937auT0hJ6QoE/9PAZ1woL/89+uGD+fZDjBwiBEYvstmz+FZ8X8mKnXLamJD7AON+gWkLFpa+zomgyzLrvS9rJGrsvffp6CG9+XD+zhZ/ep7kU8IrjrDOK48aNAoRrnVY8xyUIzhypOXAkWrmXcUsg/vnTTfzaf78KbtRWEPx0bjbur67tkwLUzs4mBAGgZwK7un0Yl7ePOaBX48YdBpXdS6yZCDDemyudk8u9rkhvH9JyG+gY4yuaE3zqvNdgoQ56Oi8sPNez5DdlidQLhuh6vvtssfnhQTtJhm2pWFNr80iqspBYZz345N39fdw3F1aGj75rlxQmbakw34AdFcvPgV27bOGkm4L3CAX+3mP+tH8KTbttbzBkN+0CaZ06+A9rF028OdfLBI9P+M26Uy0rMjAaj3xcUtp9Vbq4H8eUBbaVn8T9TEa+jnJ9ZeEPK9JBIn+8tBJHDW4uqdm7dFIkilNRUCKPX+/yFqsXhUbBTZYQTzSnjF/OWwzL//MhQEU/XzEZsMFPm8b98yUANC6UCOgTnYsghABcPz2Ms+vHswGexum97ul3/Vpg1ATzoBo4hIF1AyIe7ge2FgnpAzwDAbAuZbEbX1vccF+D6GGp1Fu6bi6/vbLkdxW3D4r5Lc3NA1OJtj0NA1fN/mWvnBmwQWxUj7njGhTWH8OBH9D5A4yZR3C/ZS9PSevEGwp8StipHj1jLQAVKA6jFZ4DOqQf96LaRZNHFwr88TdsGgZJ+JbBoLF7eflbYcU59Nh9n08/1MjXdVyf3q2oDXDPPSA2ejgcEY2JU5jBDmUI/RCwQhoBeRsgrLUYLLMEe6qxDp56Yi61zPoYevbd0wY4gZ+2MAJw1ECoeOkh8BmAcqkAYXOekxhk+FC5QK5OU2Cn3z6RHgD2OwMq36+DujDA24TKqc+8ed3HDGBPGDUOdispEScj4Emcwe6IrC8AxoAxRIGbAHA1In85afGnly2B1zZsBUH19OhaXc3tMxn10nz3gdh80vO3NGw92BJQzor4i3Ouq1pWKDaGjJ6xiCGMshlKoPx9Gjo1RswA1ixfODk0ZT4U+HSxoYfN+CsCXBy8cM4bA0fDiAz46JXLiXDkvU2YhYb4YMNlIFistLJssREpbspchNMz8vkz9mQkX75c3+YOWhhv0K8f5t5TXB82bYKisioE2Agl5b1w/XqA4m6ABwyHeFUlxBc/D1vp+t0rAEnv0Vtr5wL/RSfB6QbHBy2O9yW28l8s+Dts0SdSJwC0P8wOkPfEt2OgDvYwwO9/NgyMx6xbgMFRJhonPfVvcGsyEpcPA716DF/nW6oAPQ4qVq6DpjUrwUxri+WUzQ4rtKEb9HL77fPT7fVIPX8mnt+oRxF6ggMjox43W8s2b2kYZQBL8n0W3D37rLMKKqu237g/D2xLJr9EcNzJge+VLYCHMXZf7cLJaRimS2QE/pDD7jgJ0LLzwvUtqGOkEQZE4Ny4evnCibcWuqYmTNtwvLBwOI8bn1V267k8zMjX2Vw/W2kuev5sIr8P/C297LKnBH6bA1UAwio5A7nAT2OU6H/BidYEI8LvB8SIY93egAJ/8uI9hp1sEty2FRHIBXZ6rspDwNizWlwJBlxvd8qhnQiNQhinPPUSLFKivXoHxekzgR4GAjTXyzWa1vY6AHoaExTxaV/2mvnNzJ+FF67bt4fbK999XcPmoWYb7goR/Oixab2fKxQTQ0fPuEoI2dDFBmyGWHyv6pMn6xucn7rsVVl4I7hlBD6V3E6tWr+RMeimDIX2dwz4EYNmf8f6+n7twsn7F/qSp/189SDO+dkcWap7Rdl8jEZTupEPkrIij9T1M7n28uH6Xk0+e8EEKvRI9152Q5/i/CTyy/fcCCVZwF9PhCAL56dj3xolLjMi7FYUwpAX1T4P4gITjSnz/gIZ8yGCRCA4/7kkgyC4g+cHRXn9+EEXwmgDzRkAbB8Ze6+SuezF2pxI4flL3zPcaLUw0NP1KhygZwM9jdNLZivQ20APybcPM+jRWN1v7xbbcMJzg5Z8xe2zufAgFoeIBUxy+yRjqVR069aWcQKtqBDikX/9bkBBuff0jNWHzXwbURzolctWarZcIel+fbe8dsMe3Xfv/eyzJ4am/WYEPl106OgZDwmB5/qy9bL48fWFEImwmo9emewWlMiXCJz58/XnAxf94vHSj7p1K/8kPWMvi5Evp67v+fVlNJ+espvu3gsz9NF76CW66LcCf0k5IGnxmTh/OPgBjj6ytXfvqqI7QYiTVPWeYDFPGQ4EKcHg/kSK37zwM1gRNAJmmuNcBKEQgPvGjgWo2Q0O5pb1I8bZGUKg/ZDKCq9X1rEDcwT7y8aNTT9+761uvnZRJN7nAr1qh6VAT/+H6fW5RPygQa8ESu3qOrKYpl5TT1ryw7h9JheebtSjghuUkJNobdwLILL20d/1eTBfDKhxw0fdeWAKzIIxJHkGe2jFosl2Yc2wLSvwh4yeeSYIMUc/MVeIoOtnZGx67aLJUwt92fG/WDnExPh4bohEeXnZXCMeNWWBDi+Sjwx7noVfxu/n1PWjxaEpu2mZe76gHoovkXH8Yfo+vRu5+DyRHyAX+JXYT+eS3n/maXBwURQfEyiqVLKPvwiFlgDkVPahGo1C4BM8YvzpozXw0tpGfxxAoXNe0PixAMP3hGiJgJOZZU1GxCPcJCVfRR0nI9HlGu57fNrUaBz/2ivwpQL8rgCwNQun94E+pB2W4vQ+0EM3SMUaWTb3naywo0Xp5eD2lIXn6fYJt7yWbeDjwGxu70TqWYlUpLmh+VtCYIyz1Jw5vx20oqB5pp6Wo2fMEAIn6ef5+X1InI0jJzLGTl++aPK/2gX8mlPuKmnalNwgQJbjoi1440ztdBnjmyMDe/enrh2FvvCZv9z4fUtYvUuKY0uLulV8UpBrz+H6Xk0+L3lHj+EPBvXQM+YS+cMCezIZ+7Jxfh38+5UCO/hQcR2PsJ+RiK9q7auINqnna+W+nBBWFd6CwFZbAh62OJ+z+GPw53cH3IKFfgfyu6tt8K4Q6WnBYZyJs76KNZ8gECvt9aAF3fvy4R0x1NtndwZuTlrww5ef4/cVBvqNTO+BF+a6o2cJltTKLuKnG/T8MfkyGcfz28vw3Hy4vZ2Q01C/R1tL237A+YbHftvXzYPP9xvYEbTJ5jUoRIUbSyM5uSffhwBSej1ZY/94ae/58y9uaxfw6aTqUdPvR8QLlL6Zb7aevD+7oHbR5IJFnPH/s3ZvKwlncoi0VHTv9nxY/H42rq+X5vKl7EaL04J60hN4Mov8mWL5Owp+4vynnwqj4zG8F4XYRUUBepjSglZIf1ZilbMQ7Hp+1Gyes40C4UXThAUm8rc3cPjgi8+hoKQptVCG94aieJxaWosaQDwKgB2FiOVZ8+GdOHu3QKlmHEJk7yZS/PyF/4YVnQl6xe090Idn33kivlY91xbxdYNe9go7+XJ7isuv39pwHFVpNgzx6Jzf9HPz4PMF/rAx088VFjyUL4dXa8ZeGjnEfHvZ5HqQoaNnHolCvJRvqR9d+GCMLa1dPHm/XPcIHqc4gjN+sW4SMOgZj8eXlHSv+DSM64db+GWrLS9l1x/Dn871paFPify6lT8sdbcrwX/kWOhe1VNQmM1liLLrjJv552vQk6mVlFYUREYVJQDhQ4H4JTJYyZGtNAU0MsRWxo0WwYChsEoiwIqRQQ+LwSBAHMQY7obAhgKCNDJ6KkZ6Ak0gsEZGKTrLUB5rFcj+b90qftOypZDa3qAnK74S8XWDXnoGnozJd1Nvbf884SWQc28m0uLyW5rqd0+0JGoAYfNjv+07s9DKVDRpQ0ZNXwSIozIL8475N9TKz79Vu3iy3f263RyfQDh01PRPERipYmlbrtjhiMFO+mjh5GcKBf/4X2440LKsM5gRaajs1u25INcPs/BniubzMvf0oJ5iO3knb5G/qNzN28+k77eX89PcqBhn4v4nnwIHxCLWbQxgpKv3h6T56nUBlNSn5jlTYpB73FHaFLDTsuK0D+YlJnl8xZcPb49N7xYsgD3V3Gz88K2X4Qsd8DQ6t06fXbxXnD5ozEu1hev1ND4sHj+rQS9Doww9Gce15GtZeHUNDccLU5RHIuzxOb/p/U6ha3/4mBkjU6awe+MFgZ+ON5nH4GU28M+XL560ey5ik5Pj062rD51OwZyhVXRzBfQAYwtWLJ4yrtCXt7n+LzdcY4lURXFZ+aLSsm6fK66v99hLS9l1Yvi9zL0Q915GkV9a+elZs+v7fv8+jVeW/nTwhxv86JwwX7+aJyIAp5xinRM12HUAOMRLAgqW+tKKfvj6y/kr/GTLZw9Ngw3Lh9cah/q63ToPbasckgK9YSXYb16eZ7yoAE+7Mxnx6Jjy04cZ8oI6fRD09u+0HvdeLL4Oes+K7xfxc7vvZL18X+qtFqWnsvCamxp2TTQ1H8aZseXR3/b+Yy4AhuGi+tDp/wCAs+VU+oEdHJ/WJpuxX9Uunvw/ufCWF/CHjbtzV6vV/NTRLn3XzNayR9IryrjCkbWLp1Lp7oK2M365fpQwrVMZ4w09qiqeYhFwS3P5W2rHw2P48zD0yZx9rw5/NpHf798vDPxhfv4w8NM+PcOJwDJ6rHWWYfCfCRDDghmBQc6uOEJavIWSGGwtQc97V9lu/nx43Z2YFj/vnu/4kp3vjIiLrUTkhpfnQRrg6b3CuLwO+pYSyeVpa8sQoJMT9G2NLD0WXwbq6HXy7QKaKWDtM+hJiz6577wovSRDE4ytm7eeZKHoZhjsycd+06fgvveUkGNaiU8QIKLwo5W3C+mV53l9qNRDLMZ3/eDlSTnjBfICvs31R01/ERG/lYbcNDO/f4S9UIHNWfHalG8XhHrK5Z4wy0gMGXsNCtGzKGa8U1nVa2mmaD4vc8/v3tMNfblF/tz6fofBX97L9vU3OBF+ak6C3D+MAIwaC8eAYV1iMHaSEGgvDH1LMwo6EoBLHByqYOvhLifxXDWuSK8b5XSd3e0Z4LUKA8ZaEPGfpmn89ZUX4TWdw9OzZePydLxbAzDJ5bcF6Fvcrjj5ivhBg56bgRfg9uS3r6vfuG8yYR2IwDfHVyy4efbswsJzbZwdOuMmAPyhaydJZ/FZumKy51e8PiWvMvd5A3/YoTNPEWA9EcZJ9GfLEFIoDIwO++j1HxTsyxw/7bNhZmvRJcDRrOrR4zFRLGP4/XX5/EE9XgKPbujzRH63MKcr8kt93yvTFRT5wyz9AFSui4x9upuP5iJN7NeCfFRsf9DdF+T+9JvcfkECQCrAYUev/2MMAAAgAElEQVRC74pycT4HOBMYHERqUVrhSbe5RwDkKmXYIdh6VSHXlejI6yp6MFjVFYCbyHChabF/1q/h//hgKTQGRXofh6cfWvitzuXTQO8k3WQX7538+jZgVIiqiMR8jdPb3yAq30bp9baIT0E6ZMl3A3XSrfgUoZfJoKdXzw1m4PHW1rJNDVvOAJNFIsVtf5kzbbeCk3Gqx91VxRKpz4QQZV6LrEDb+iwhu4zzM2sXT34sHwabN/CpAu9Dz02vZcD2yF7eN5wgAbC7a1+fcnk+DxUcc8p1Gy5iwtqHc7ayT98+L/rKcBsxuzyX596Tobw+Q59P5Pes/ADUWlsP7CmxCYAe1UfPouv7fkt/bvDT+XaQD21uYk9mvT9fAkDjiAiMGwN9i7qLExjDExlnowCxio7pXD6Uk+v+d23CXULgRmw43xNhNQK8mhLw9OZNxvMfLoGtYdw9F+DTQS8BqkR7+/2bPW9Tet28bKDPrdd7NfJbGen1Xh29thw+e5mI4wXrJO22WHQ+ifsbNm78lpU0B6MRWfrkDb3va886H3Lo7f8LCD/Jdm4mYzoA+/TcEyYP0Svp5rpO3s84dOT0KwWgL/kml1Xfi+SDRAyLB3/w+qUU0VrQdvq0+h6ire06RCta0q3khZLyii+yufdkbb5cIn96YI/S99sH/sw6P71smNEvG/cPIwCZpAA1mUQIxo6D3aLF1ogIwxFf+XOHIOJgxr7qzsOAXNlec8+Anu5F3/F6FPCFAPwCkS0HgW82tBpvvf0KrA0Cna6nXD2u/q4eJsDh0wGfXbS3Ca7W705Z72k/GfLSOX2eoA/R692wXM2Kr4v4QYNeWr59Y/3g5saW4zgYSV5UdMPj0yp82ZT5LHbi9tCaIPOOndyUKWAuI94YXLnitam353MvGpM3x6fBI0fe3q2ewSoUWK4MPmkPkiWJh3H2v7WLp/ws34fTx53x49XHmJydDACNvXp0m40lXgKPZ+jLLPKHWfmlyC9dfMq/rwp0RmIl7eD86eCndwgT/YNpvXaAP/jj/NX72/o/bU62n9qvVAH6navk0dH7QkW8GCqiHIqFAaVMQIkwAUUUmg0LWhImtDQmYdPipdCU7fvoPt0wsNO5KqNOXce12NMOTZ/XuXyYaG+DXGt71T7Q+0NyPWNeq68Vli8JJ+CzD4r4ukGPtaSim7c0TBACyiOATz32fwN8RS3zXetDD51+IyL+OFcSXHiWHGyNlhgDP5w/Keu305+lIODTiUNHzrgNQUz1rMkB6162Ul0MWiNGfNiHCy8vqIMI3ZdUjbcTa68TptU3WlyypHdV5es+Q1+eIr8M7Anq+5n8+35jn82FtEw+JfYHDX4qyIfG63X66bfL+emHJvrr3D8TAaD9mYgAHdMJQT7EINeiDAZupAGdLjBQXiUIdtqXCfB0LBfoCfA0TkXkKdC78feuTh/k9LoFP7MxT+9/5+n1YWG54SK+SrvdsKFupJVqq+GcrTsg3u+GfEVtfe73GfnnPklsJUt+aa5cmPRsWGLf/I+1r022a0HmuxUMfNvdkEp8DAyiYTdJL9XllwkYwKzaN6baPspCt/G/2DAkkTCvpqTHHpXd/x4tKd+SybevW/mz6fu+oh0BY58M7ikM/CqpJxv4O4MA5CIC+twGCUKueQ8FuH5SFrC3F/B0ni7a66C3m2DoSTftBr3U62NUGpvq5Eey6fXSZZfJik/x+KmWxh5b6reeC4LxeDx2y5zf9i7YeE3vWT3y9nsB4SL6O6ffPr3PhRmJFO1RKDMtGPjyQaffjSiczptpwNbMQukvQn59bsC4ZYuntiuF5PSfrb7EsvAQbhirqyorH7Uj+owYcgEYJvK7tfgjcTeDT7n4gok8ytjn9t9zI/sKAL8W4Rdm8af5yy76K4TJyj72LyfV1wZDwA2o49GVBmhnQC3IBfaMxx2Q0/Ewrq7OI+5Of9u12pyCbbqLjnbn4vI0xhPtlRFPxt67EXkdBL005mkJOGl6vReok03Ep3j8TXV1Z5om9ucRfPPJ3w/4S3vmeNhhM0YJExeizMBIS4PLWU6b4b0rXr/ye4Xeu13AH3rI9N2AYS0i2FVifE02g0p/4ImcgJ7399+l30Ht8XOe+uON5chaf41olMXiRW/06lW5KCjye+G8XmCP7eLTovrS/fvS2Fc4+P2uPlvs94Hf0/tpKoKiP+3LLP7T0Y32DNpEQLMD5CICGQlCHiskG8D1031gdwAvwU6bDMTJBng6FuTyfiNeJtBLIuO57HKJ97oFX3J5uymGA3qvuEbCjcWXoJdcX4blSiu+EvE3btx0WLItOZKB1Wi2JaY9O31IQx5T6xtie8qenv4WY3CgL79Br3wTzIfVNGvGwMRYdOiKVyd+Wui92wV8usnQkdP/iogXp7XpDXTrzJTGyxibVPv6lIKabKqXG//LtXu3tppXMzCgtCzyaGllr9Bw3swuvrjWjEPq+zK4J1/wA/hDex3wAwAl+diL3e7JR3/JfP5c3D+MANA+WddPbX4pQO1VbpJs0kChCyNsfBrQHbDTf6HcnQ5U2d5F0I13OuDp71AuT2Z7x0dPY6j2vf1/Igh6x1/v5NarxBvdV++57TzQB415/nRbTa8PC8ut27hrc4t5JsmzRWX8ljnXF559R+9SPXL6RBTC7SBM+/IpbecyWsb+uuKNqZe059u2G/h7j5q5Z9KylgEilcMveGMM6qJG6ZD/LP5+XcEnA8BJP101ASw4kSLHevasuN8oNppI5A8G9lAsv9T3w/37urEvX/DbYb1O9R56dpXRB05PvqDRzwN/OPenayjxP40A0A6fEdAjAvSXrg4ECUFwXnMRBgXs4Hm+Uss+MZ5GepydfunifD6ApzFpXD6LPq/Sa+k8FZxj181Lhhnywjl9LmOertf7XXdJZjVYZfUN9RcKxBLGjKef+r9+/2zP+rXddy2JWqo2li0uJu3ajkTNOJgMefXyN6Z81p77txv4dLMhB9/2VwhU4k2T9ANmSl01YAB31L55pa/CSL4vMW3aNP5W8/euE8iHcIN/2a9Pz394JbljPn3fn8gjxf9EIgE8ghiJFDkpvIVx/oLAb4v+KtiH3tCL9qNfSvwPIwD2vtJKj+uHEgEaJVUCHzHIRQkyTXagqLonvqcDPRPYaT+1slKbEunpt7LYS8BLXd7e7/jnM+nzXQt6Kea7La6ddFvbdedk3tGxtes3f0dYYheDQ21NyT2/nzZtmtt6Ot+1S+OqD7ntHkRI49Y542Ic4x5n7J7lb0x17GyF3FmO7RDw9x9154AWM1XLAEs0eTT/p2DMMgx24LLF6QX/87kIBfakmltvAGF1ixXFXu3dp/fLnr4vS3VJfd/z74cG97QD/LqfXyX20DNLd1+66K9cfjr3zyT+BwkA/fbZAdTkbNpk/+VXB/SZ84hBPvOZPsbPzdVxm6vT5ojxLrib65gOdns+nCAcNSYo1kvA+632tC+zaK/0+WYmM+3az+mDQTq6MU9Pt3Vdd+s3HJFsS44BbjRES4uva0+gDr3bkENnjARLLLZLZuRZw9L3bRhri0bjQwu15OvX6BDw6UJDR97+GyGomZ/cCq0YAsDmr3hz6pHtW5gAp1+76oAk4rV0fmlJ6cNlVRWf+Vx8tvivqvNKbh9q6S8A/GERfjr4s4r+DvfPJP7Te2SSANQcERGwiYMuCdAOhxCocZkJQn6z7QJcDQ8BOh0Kgj0IeMXhaX+YWE+6fH5cPgh6WUGHwnDz0ellDL701UvQBy344cY8ct01barfraW5+TxKgYgZ7A+P/2Gg3Wmq0I0Men9/ZvrrAjG8x2QOAEmc8d/XvjnlukLv3bnAH/2Xckw1f4wCe4dCP4+IBM7YxOVvTr2zvS9yyk/WnGua4lTOWXPvioq7oay4Mcy/L4196ZZ+VaizELHfD34AWcXHM/qlgV8z/HmWfzrDb/yjPdSwM0gAbKBTPZ3ApohAKCEIDg4QhrT5DgA7eJwMdGpfLrDTOF2kt4mBI9YrDq8Dno57XF4G5QRFexpDqbUl9L9TNqsjoFfVdJQF3/4dYsyDptbyDfX1lwkLSyNR/sSTN/Z/uL1rdcght18OiH/yJVNoDvA84LKex8qGLF94SWN7n4HO6zDHp4sMPfj2KwSgtNBnD+RLe1Zb5+esNYLGwR++Obng2mR0QaKibzSu/TUKaxjnkbVVVcX389Li1jBjX2eA3xfeGytxqviQtiONfmGif9DwR8+tEwCZ6ae2zDYANSKMCOiTqxOEvIiCc7IObtoVBnD9PkFRPgh4XYe3jwX0eBvwAd+8/bxudp3H5f1GPMnpvZz6/Ax5itNnAn3QmCeaW4s3bWq90EKrL+n1B5cNuL490Xn0TvuOuWP3RNJ8BxC7qTnMGfAWqK0JDC6tfePKezoC+k4D/rhx8yKrm997FxD2Tn+gXFqMPM6AL92jFxz87LNTQxsA5HrRCT+p695itdxgWaJvLMo/791/wP0WT5phwT1BN5/y8efH+QH8sf0AsoSX/F9l9oWL/p7uryz/LgFIylbxYTYA2ptJCtDnJRcxyDWHuY6HgVydk4m7S7BLHd4GuVPyWge8/bfjpvNz+XTRHkokt6dz9EIa9FsF5yg/fdB6nw56v9suWFjDELHIujWrLzRTYtdIhK0t5qU/n31jpd0ardCt5rK7oo3vJBYhihFeOS0FwWxpOd6dGLD3zz156oHtJTz6M3cKx6cLDjl4xhGAYj4DZNlfI7MSw4BPr31rSsG1+NULnTjxs76iyPg9A9YjEjU+7Nun38NmJGkH5lBdfj2yL+jmywf8kWgR+hJ7yH/dKlN7lehP/1OYbxj3DxP/0whAiA1Avp+UAnQiYC/+knTxP2xR5ksUsoFbv25Qb6dj6dzdAbymw6cDPkysD+HypMcH9Hm6lh16a6iEG7+fPkyn9zh9wheO64LeteDH2Lr1a89NJszhhsG3QGvqZ8/csdu6QgGvxlePuP2PCHhNLitYNjbJOT96+RtTXmrvM3QJ8Omi1TW33guMXZQ1Xz9YSCBYUwz5ySuWTHVbLRX6kif9dP3uIpmglsslkUj0jQGD+j2qW/rbC34Z3ltkZ/Ip8Aej/GzwO6K/3+rv6f42QBx7gCv+085GJ+IvoAKQBGAD3A4CUptHBIKEQI3IlyDkml8d4GosGejUFg52OioDcJTRLhPgab8S620gO5zfjAat9pmMeHqWnQN8t5iG35CXD+iVBX/1yrVnWqZ5CHJoNqLxnz/9v30Kjo5Tc7TXIbefZFr4pG3Fz7n+tfqa2sdhjD1Y+9aVF+T6Xvke7zSObwOfghKaWpcjsErXeJHTWuF/VMb4xggz9vvwzUntpq6n/mjlfgnT+jUDIxqNGnOrBvV73jP2+Tl/drFfRvj5Y/sV+AH0EF/S+1ucwh5K9M+P+9P7N0E0XiaBHSAAtEuGANNfYUSA9kvpU0kEmYhBvotCH5cOcjoq/e5qk6K8H+z0ixpaZAN8JrHe1eVJrndEe9tqTzm1xcTlPX2+WHF9lXCjh+GaCdd6r4PeLagR8NWrgpl1K9cel0imjgYGZizCr3/ipkHvt2fubEyMunMAJBPvImMyhDFHCauwClac880o4sNql1wu/bedsHUq8Ol5ho649RIEdk/GmmGBhw59UcZfWPbmlOPbU6FUXf6ka7883EriTxDQiBUXPVbVv8+r2cGvu/r0IJ9w8KsoP+L6bk5/UPT3cX/P8p9J/w8SAHoXG/SOFOD+dqPCMxECGhmuiurEQf8UknOHbX6Q0wgf0B282wa6INjtHQ74E1Kkpy0M8LTfs9gr37yfy9tjHNGeKAAl20h93smyC4DeC8N1YvCd+HtlvdfFewX6+vXrx7Q0JU/nVEszhjc+/YddXmkvzqhm5HufrXkJEY7IdI2c3W9lIdOLapdceX97nyPsvE4Hvl2Hf8TtCxDwcLphtv7d4Q8kq4YawH+0bMnUP3bkZU+5ZtXJSSEm0wXLSkse6ta359sdAn+ar18a+oKiv879dd0/KP7rBMAGdQrQq6TglwJ0IpBGCGhHgBjQLr96UPhMegB30K39FwQ6HVL7coHdBnBC6vES8JpYH9Tl07i8J9rTuZRsoxvx7IQbM6G1uioA9GvX1rS2mOciQx6PGtOf/MPAtDbxhcxidc2tvwZg12erkhu8Xlq5bMCXapdcdXQh981nbKcDn266T83teyRRvEeFBYKFA/KN8GEISTBgTO2bV72Zz4tkGnP8D1ddKFLWd4EJLC6Kz6kc0O+VgsFPFw8J8VV6vz/G37H60zmtAEmq7kP+fcfyr+wAnvWfjjZDJC7byYcRAHufpgoEiYBOCNKOFZwz5jyE63DSAK1xdPWs4WCno+ncPRfgwyz29jlULivNap9Zn4/TWLseXv6gr1u79vC2lsR4YAYJmn977pbBHeKww0ZMH2cJay65qwJ56vkb9alwTYTt/9HrV7Yrzz8bbroE+HTDoTW3/QAB78xZSij4dL60Q7aOR2Ojlr12Ra7KUllpw/HXrLpIpKzzgQPEorHneu3S9+n8wK/0eJnSq8BvA9mURTvpb5Xdp1v9leGPjvss/7b4b++1DYHZCEA6EaA9miSg3rpRxnIotSBsMihmIJ9N6eVhY4Mgd8GvifEK8ioYR43JxuEl4MPEeqXLp1vtnblhpi3mA+jReEqft4lFHuL9xi/XnZRMJO2y1DxqPPjczQPbVSxTves+I2/tkzLZ2wjYv0Prn8OU2reumpHPdyt0TJcBnx5kSM2tzwHCcfpDpdv6Avn8ARGBAXwUL4mNXvrqxPpCX04ff+KPVp9mJVJXItUBiURererX6x/xkphF2XxBV5+9AAJZfXaYbyTuJPc4er8m+ge5v9L9XQKgGf88679OAOhvFQDk/K1JAZmIgL1fSQPBCXIIgr47E3FwQa0PdvTz4GVTNtAVxL2/coGdBEAZdSdBngb4ELE+TJfPLNrr+fSeu04SANnjTiXdkE6faEkam9ZtPMdKpkYz0unj0dueuWlAxtbS+ay/4eNmlqUaUvMBoCZsfN7rn7Hna9+68oSO2LmyPW+XAt9O4kkkPmAMemSs0ZemC/gf13nAl/fow49tb3CPuuJx13x+JLPYLyyEiMH5e/0H9fkLRjGlIvzs1lxubH8cdfCr5B6V2WcTBye7D9rscFON+yvdX0kMNNrx9xdMADITAToSXl3R25uRKORYxR64/QBXp0lB3guzVft1zk77SH8vFPA2UA1gymJv/7ZbVtt2EAZF4MXckzcjTqG2umjv99EHC2lYVpKxFIuuWbn+EkuI/RmCyaL42+dv3nVePuDONKam5q5oE7Q9JRCPdbqNhRjxc2Wz2Dn5mw0o2vejJZev7cjzbDfg042HjLjlHBDs4UzuvVxxfSrggQH8Y/mSK8/tKAU8+drVByXbrN8jilIe4Sv69uk7g5eiG94bBL8e4qvA7w/2yc79/eJ/JgJA+1UMgPe3rRH4pIBwIqA+sCoCkpkgFL6MFMDDQN5esNsEIcQ9JwEfFOvTdXllwPNH4oXr82GgF82seN26DZOESA1lwJuiDK57+vbBSwqfHe8MMmpX19z6IAA7z0U7HQ7K+tmK0ToR74bBxy97c+qjHXmeXOd2KcdXN68+6La7APAyex6C8Qk5JsZ3BmM3rlhy1U9zvVSu4yf+bGO11dJys2VhJY8Yq3r27n5LUVl8q8f5w3z9BHCvoAfdI8j9aR/p/m0U7BMtsmMAKOjHjgXQov7k84VJAOkEwL6mbQuQoLd/2/kAanP2BdSCXHPQ3uOSo9MmLfK0Sa4u93miPP32i/P22PYAHorAp8trXJ6uSdIBifKk21O5rMzuuiRra0p037xh69VgiYEIUBctK7nmmd/3ooIYHdqqa26/CVH8MHiRnIwtbf3ze1e8XXgNvUIffpsAf9y4e4vWbN26GAEPSJuYLC2Bwl6GA79i+TtX/qnQFw2OP2byl/2BwXRAayDjfGtxaezuyn59Pwwz+tG5pN+Hif6ZuH+Y+J+VANBNfGoA7dClAO+3JAK0hREC/zH1S/caZJs7D9hqlAdwtUcHugNvT293drh6fADsCvx2JE4Ih7f3hYj12bl8QLQnY19An6fU2rq164a3NicvQyG6AzNWfdW/fsqLM3ZZ09G1VF1zG/V3bJfrWffjM8aWlkHRoUuWXO594o4+XIbztwnw6d5UqiuVNJegEN18xTlz+vsCT865BcBO60hYr7ricZesrMQS6w9CsH2J/sRi0SeqBvZ7PBoHQUY/2rKL/p4Ob3N/OsF2+4WJ/8r6T4OUBBBiAwglABoRkH+qf2SIsPsrHfR+6SD/VeSBm87xwE8c3QavbaBzUO7s1MGuAK6i7dIBr3R4KcrrgA8z3pFYr9x0kmA4Lr6A1d4n2tPAWIwSgPimVWtPT6YSpyFw8q8tZS3Gtc//ZVC7yr7pszis5rZzLYF/k22h00X73AE6jkzAeEMkCiO6wnUX9tW3GfDp5kNrbp0gBM7KtvzyCfhhAM2RSGzPjoT1qmeglN7FW7+cIpJ4vgBghgEfVfauvKO4W3yLbvQjMsAtROL8NkHQrP667q8s/5JoSJOmnudPv6X7jzaPAHheANqvEn88KcC+jp0MpDZHGqCfLn/wGIUiCPpc52IjCtT6OR7AHZBr/4UBXR6WobXpYJfuOWm0ywV4x0XnivXKYu+J8qo2nk0IXKs9nSer4ZIRL9WQ6LFhQ91EYcFe9tzH2AOjuu8yvTMy3PY6+PZvWZZ4BhCiFKTTkY1xOKN2ydWPd+QahZy7TYFvg/+gW/6AyH6U70SFEQLOjKuXvz3V18OvkJcOG3vy1C/GtFrwPwCiEpixtbxb6cyKvmUfpOn9mtVfGf6U7h9m/MtGADwbgOcF8BOAABGQP+2cgHRC4FGANNDnQnxwQgIUwMfdtbEyZt4P9CDYbVAaOuAdTu2E2drHtaQa+m375GlzquRIv7wH+KAuT1xeWEmfq45AX79u6z7NDW2ThLC6AWP1UYNd/9ztg1/t6Fqh84fVTN9XWOZCZFDuC9AJXDwfRga8c2xXhbzXNge+HdJ70G2PIOIE+0FzWj/012EkqV2x4u2r7irkJfMde8LP1vYym5N/EJY4iIS2WIw/XtV/l9nxErDsa9g+f2rcEcb9pbGPhsnkHcf4R39o4r8N2EgR6jYAnQAEpQB5PcXpQwAvd2UhBmFvH6QEYbzef54P5HTI4ege0L2dEujydzp39zi97pqT42W4bTaxnsR94Yr5yjfvcXl7ulvA2LTmywnJpDjdbjBl8LcjpbFrn/19v44WIXQnZShVnmptfAYFjnHXcNhU51jfjLO5++/R/7j29JjId11neqyOnN+uc21j35Yt/0aA0cELZEzmA2YxZJfUvtu5yQrB+9ui/+bVU02R+h6tGQ7wUc/ePf5UXFG8Vuf+AEnQff7E7bkVd0t5e9zfTwDofroKQATA8wLQUeUJkH9Lb4DaZEKQ98yZOL+UDIKbkhQyfTRbRA9uIbsUEdDRr7i6gr9flNfEeuLupNM7vngar3N4vx4fFOs1ru80uQCnCq4S7VvrW/vVbdr6A0vgXgAoDGbce1jVoNs6Q7QPTg0F65hbk88ggp2XQlshyaiMsWUl3XHUu/OvLri7bruAp520zTm+uvewQ2b0xFRqkUCoVpMlj4UGOIhYRdHsWJ+Ka975xzkdtsLmM2mnXrV6dIuZuhEtqASOZjQS/VflgN5zSkqjskJQgPvTLqn/y7p+6eI/jfBCfyUBkEZA2sgNSP9nIwL2uAAhsO/rIwa0x496v20g99t7wFZj/ejXObof6PRLGepCwE66vRNi63J3OkUT6elnVrHetdj7uXxLcypet3bDeDOZOg0FizDONpdEIz994tYBC3O/cftH7HfsA6Vtm+qI82fIwPOvZ8/YxzfGI7FDl75ZeBec9j+td+Z2Az49wpCDb9kdTPYaoOiVqfwfozyXbvFbIlXFSeC8ORKN/mXJ38/ttLzkbJN4xqRVPZtAXCeEdZIcxzeUdSu6p3JAj7cycf98CYDfCKgRAEcNIAJgX8uOB5AkQcYEqM0hGM5xP9S9X+lEIb9l44FbQVuep0iA5Oge0G3ABvR2edTP3XXAy4g7ycXzAbyy2Ae5fN3qLSOaG5ovFcB6UQUoziNPCeA3zJ05cHN+b9uxUcNPvn8Xc93Wl9C09sh9Jeojz9sMwKOWvXP14tzju2bEdgU+vVL1iNsPQcuaB2jHfvgjnRi0fhVae8a+e/T/98dW87kCYAiBn0diD24rzk+PdMKUVYemTGuaBdYelGwVMfCN7r2r7i7rEduYXfyns4MSgO7Cc+L/7WFSkPBJAQ4RkLBXQUF+4PuJgRypNpIOwpZNUAsIkebt0zxw+wHugTwAfCXGO7uplLUiDrbuTpvrltMBr1xz/iAc+z50XgaxvmlLstfWDZsuS1l4iD13YHwSixjTnp0+8LWugUv6VQ/8zt/7CzN5PjOt7m0rG0+zTGu4v5dksFomUSZ2Tu3bVz2yrZ4x7D7bHfj0UEMPuPk0gYxCFLkS+zljTSyCpyx762pKeIDhE2bF4lbz2Tb4AZORKP/7kkcu+mRbTd6EWWhsXbDyMtMyJyJjxSSJFMUjsyoH9XmsqCgqnf56wo/P+i8JgN8GIPcZtlrg/E1JQPaf6USAdiujoIR3UCJQM+Hs90kH7Z8lycVDgO9wfJujpwFd7sgOdg34lD8P1PbYvy/MWm+/e1sqVrdy/RltCfMsQIgDw5YIj9zRfeygu2efxaQhdhtsNWfft4eZEucAsBgHWNG4Ovovntz0KApxtK3sh9uur13x7tU3bYPHy3qLHQL49ITV+986GQGn2zo+Y1sN4Ccue/fKRfrTU0WTj0XL6QJxf8a5ZTDx6JLZFy/dlpN43FWf90sl4dcoxLFUV5Rxtrq4KP5w5a6VL8cjMuCZzbsAAA/OSURBVNuPNjfjzyEAtE/ZACQB8MBuH3M8AfJd0iUBeU1PJaDfNiGwkSDPUsTAvl4Gbl/oXJGrTZ2jg5z2eRydfmlAp58hnJ12e4E3EuTSSq+76ijoJuCeoxMpm85MGnVf1h3R1pI8RwgxEGj6DeP5SBSnPX/rrl2W0BI2ZzUT7t3XQn4mCmFwxt7bk5c8Tpb5UaNmFW9uW/MvFOIYeZ7PrP+bFe9dfX2h36Arxu8wwKeXq97/ZqKEF3PDOHbZ21eGJk2QO7DmrPuOsyw4DBhDA/HZtx+9eJuJduojHDv546NSKf5rBBzMgSHnbG2kKP5I7/7d5sZKSlM6AdA9AB4BUEFAfgLglwICRMD+6VUfl4RAQ77zcC5BUA/rSf/5rSGHiavBfoBLkNPmcnQH6PZ/Sjx39HYJ9gAndwGvi/gS8NSO2tXhHcAnW5qjG9Y0HG0mEmdbQvR37EFfRiPi+hdm7NkpVWfzmxg56qAz7z3UYuwEQKSAr0VLZl30vJ48Rl6r1Vu2/AsQjnWN1QxuW/Hu1VcVcp+uHLtDAZ9AvdeBtw5e9u7VOQtv1Ey4f4xpiWNpcjhnC97550Vzu3Kiwq592WVvRT+N9f6uZZo/AICBIMsLb4oXxR6pHNzj2ZJYqeYBiCERABUDoBMATw0IEgHnt6sO+I+7JEAjBvZ8uAShc5DvA3gA5DawNQNdEOj6cZ27e/tVXL2NcrtBJXF32lqSzfG6LxpOSLQmzgIgAzAH4LjKMCJ37Z7c8Le77x6R2tbf/MBv33e0EDiW7hsx+AtLZl8YGhBku6zr6x9DgOMB2F9r373q+x3NLO3Md92hgF/oi+0//v4DGROnoQDOOC45fZ8vn2xv99JC762PJ9//orqVZ6WS5mQhYHeaVA5sS7Q4MruiV/mTZRXdZTaNYwNwCUCaGiCBrasCQQJh/w4QAv8YuoK2BYhC3u8Zl5Z2G+faSRLk/r2So3v79DGZwO6J8+mAb6rfWrp5Y+MpVqs5QQDaxbwZh0+jsciMwyoHzeoKn3yueaHuzI9/sMspKFgN4yAQ+b/em3PhO9nOO+GE2+Mfr7WmHDBkwC3bOkAn1/t8rYFPLzdiwl+GWsjPEgKinLGPeM/EP5fcffk25wT0LCSxHDt51emWlbrSEhQbbqeENEZi/KmyHmXP9exX+YUiAPQ/2QHyIQKSHHj/qnwB+XHlET8x0D97uxoTBeDuXS8IcjoSBDrtSzPU2fhWursGdvtPyeE3r60b3LSl6XgzaZ4sqDo3MDC4+Mgw4re9MGPg49uLY1IXHGtTbAICDOMcUgYTs96afcnyXODakY9/7YFPk1sz4f5dLMTzUGAx4/zLeNyY9fpD321vmclO+V5HT/zseDThagvt8F87MMkwIsuNWOT57r2L5/aoqJSlxDRjYHYiIEFO0oAH90zEoAuBH+D4ShrQge4jBjnAvqW+rmLrhtajzZR1LFrmMGqmRnWWOePvMANunnvHbs91ygdp50VGnve3bomEdRYKsQv1eDQYe2jJ7Au/bOfldpjTvhHAp9nc74wHenPDvAAF68YZtCDAnHfnXNzp1UkL/XLHTP5itJmyLgDE4wWwMqrIwhgKbhiLo/HY8312rXolFo25xkC6fiZJwObsafq74/pLIwh+8hB8bnUdj1uHvVm6uC8BTpuuAOhcPwtnd7h7MpWMbvp80+EtieRxYFmjBDJuvxtjTcDguUjUeODFGYO7NOIun+94wPh7hzCA8QKhhHFsEFbkgfcfu2BDPufu6GO+McC3wX/+A6VGs3Wm9PVTji28MgRKX9oR9KsTpqyIm1bkTDMFZwtmjQHBInazUM6aDIPPjRZH5/Ue0Pu9WFFU2uADkoC9i4gC2QXsH34RPp0gZAa+khrU4vTAHFyufnD7OLkaGpNjZHacu1Ma6Ryg24/blipav2rjAWZbcpxliaNRYJltnedocjRejUThkYhhPvrs9CHt1U06DWvkNl4BzUehJWPwyUdvlRqPvv/gBdJW8w3YvlHAp+9BevZB4+8/HDkeJY1+/EuDtc1eMvvydnU57YpvfPT31/eBaOt5lhAT0MK90clRZgws4HxpNApvFxXF36oc1HNpuDSgyIAkBvbizEAQgs8fTiACHDvspTWA23jWQG4DXwHdATtx9bqVm/dta0uNME1RgxbuA4ARdRpj7EPG+SxuFT80954+67tinttzzZoJd3W3sGiCFO1BMMFeenvOha9sL/tCe94hn3O+ccBXL33gmfcMRh6ZgAK7McBWjBpz3nvkwg7XVstnUgsZc+zUL/dJJa3zhYXjAMVwQTKAbCRKVTwS3ODvGRH2VlF5yZtVA3t9GGUg7Os7EoENettIqDZFCjyioD+PSyACD0kcO/jcHrj9UA+CnI6mkKrcbBze1thysLCgRgixPwosIq6O1CwSUHBm/IcZsCAaMx584fZdPihknrbF2P3Pvr+apazxCKyYcdbAhDn7nUe/Lw2y37DtGwt8+k41lz1ZYm6uOxNQVNvfjeHCal727x1B9A9bR2Ou+KIizuBoYZpHCWSHCYueW0V+2fEKpAZ8YkSjtUaMfRyLxlYU9yj+tEdFuddzQCMIYffwEwlvhA/MYSc6lnc6tKW+saJ1S+vuyWRrtZWAPQWKIWiJPQWyOGPIUHZKB26wWs5wEY9EXkogzH31zsEd6o3QVdgj0b5WNH0LkMk0ccZrIz0rH11y9ymFljDpqkfs9Ot+o4FPs0Wi/4izHhhtofiWLfozWGnw0llLZp+1w4j+mb7q0d//tA9GjGNRiCOFJcYIxMGhYGbQCgzWcM7WcCOymjG2AThsiUWMLdyIbOHx6JZIhLVEIkYS45FUaSySxGjUdnmyVCranDRjLGFGTdOKmSaWiESqh7DMHknT6gGCeiJgb2GZA4TA/oDQX2BY4r4N9C8446+yKJ/HEtYLc+/ZfYcR4TPNcc2EWd0t0XwWIgwi0d5g/N9vzbpg4TdNtA++/zce+OqFyeUnEKnmX3fGWIIjzj11vy/e2B4BP+0l36dctqaqGcyDkFsHoMB9EWEvIXB3Bmi3pE0rXR7Yk96Q0f8kuVo9eMdZI+fsU874h8DxAyaMd0sh8vaTd/ffJunS7Z0//TwKyHni/cGHCMaORsQ452wrZ2z2N8FVl8/8/NcA3xb9T7mrRMTipwmk6iy2EL0uGsMn3/zH91bmM1k76hhSEcpibM9km7UncrYbWqKfEKySMaxCxB4MsCciNTBlERAYQ2BRxjAqW5nzFANMIoMUA5YCwGbGeB0DVo8g6qigBTP42ojAzwzD+LgJ8eMdVWTP9/sc/J2/Dkol2SkI0NdWSSjwK5n415Inu76sdb7P2NXj/quA73L/8fcOMwFOBAQnHBSXGInUi/9NH76rF9aOeH0i/FY8egyF3UpdHrZEAJ5ZMufiZTvi83blM/1XAt/m/pfdFRWbisYih9EytRJaGGcvLpl14dvfdP2uKxfUjnhtmdF5/0Eo8BgZjMMtJmAhr2pbsL3Cu7f3PP3XAt/l/uc8XGUlEicjwO42E2CwMsrhyTdnX7xue3+cnffv+AwcPOHevikBp5DxzlHvPjXi8ae2Vfm2jr9B11zhvx74LgGgwgoCjkeEcoqpZYCv9yiHl+bfd3Gh2exd86V2XrWgGRh30b1FWxrhKAQ2kvLmGYNGg8Nz27pwS0EPvQ0H7wS+NtknTHkmvm7txqMQxEgZ9cdaSSTc0yh5bfbss7zImG34gXbeqrAZmDBhVuxjq+VQqcJR0hYIBvz1vv16vfTs9BO3ezhwYW/TdaN3Aj9kbkk8TArb+LerfZjzZibwVaMq8cZ/q07YdUuwc64sU2fjhyBnY0AI2eyPwecxDs/sVNvS53gn8LOsOyqmaJl4lKcfsibg4tV+zU1Lnn126k7u0TmY7dBVqNjF2tKyGhB8DAIl/kg7jRFhL23LYqwdeontcPJO4Ocx6RTDzU1xlEDoby8sDm0I7K2ieOS17Z33n8fjfyOHUJ58W8I8lAGOQCGLAHIGa0SEv7Qj5mTsaB9hJ/AL+CI14+8dJpCNFiBDZ8ktxEEsNRgs2ilOFjCRHRhKapiFcJgAvi+5YW3AA4UK48L/Rn98e6dyJ/DbMXMjz/zbwDZIjgbGh5PFWF6CrTIMWLIHlCzdaQhsx6RmOYUMdp9Ay76WBTUAOFBON0NA8WERxBa+/uh3V3XuHb/5V9sJ/A584zHnPlTRlEiOAgYHKHGTmn1wg79vWam333/00p0LsgPzu9+Zfx5oGNGDhCX2o6YVSs0ChHfL4rHFrz583g6Z7deBV95mp+4EfidMtW1Rro/tzSxWo9QAe5ECUKw7FdP44PW/n7vDZ6p1wlR0+BIjz3m4TzKV3MdOQgKoVBckcR4NXGJUJP+z07PS4WmWDQ12bp03AwdO+GsvBqzGQtgfBEi3km14wk0CjaVF8eiHO4mAf74J7G2J1HDOrH0Fsir3KIdmg8F7CLjkndnf67Te9p33tb++V9oJ/C76dpT2+fT7u+xqGnwfEDicYsTVrSiKDABWILAVFeX4yX9bdCBF1dU3sj0YINVGHGJHS7oEElqAsw8jlvjgpP2+/PzrlDbdRUupSy67E/hdMq3+i1KFl08gsZsQ5j6ArFr5mx2dleq6rQQOnyPilz3KYeU3jRA44bODGGO7gIBdkeMgiox0CSFQdV2s5TzywR4Q/2xHrZC0DZbKNrvFTuBvs6n2bkQuKdNiVA5sSBAEMk8ANnDALwWHlVGAdaUbv9g0f/40czs8asG3HDduWqS51+CqFEBfLmCQALYLAvT2vB92HIQkdgArIgbW7nSFFjzNHT5hJ/A7PIUduwBxw8ZG2NUEHMyA7UKlrRDA9k+7HFG2bNrEmFjPBFvPGW7gHLZU9e1Tv73izymvYdO69RVCQA+BrDdy7IPI+zAmqnRubks1ABaVBkPALyPAvigvh8+/aVJNx1bBtj97J/C3/ZxnveO4afMiW9//ZADjBnHKAYjQB4FV6hzTTxRYK0Osp6ISiEYDIrYis1qinJGu3AIpoyVmxBNJqLfKwbQS0MtKVtSbp/Rfa/eRf3JNPyNWXxGJw0ajESJGDCqMpJWIQ9QqAYElKYElDI0SxlgxY1Y3Kl6CjFVQAkzoi8jMxjrGYD0DWI3C+rL7fnusnj/tyK+FxLKDLYcue5ydwO+yqe28C5O70Kwv6h3hvI+wRB8Qogq4XT2oB/UM7Lw75X8l6iFHBXdBwBbgfBM3+HpTiPWRirYNO91t+c/j9hq5E/jba+Y76b7jJswsazaKK4TFegjg1KKrhCGWWIglwHkJQyhBEDHGuIHADEaFZJFFhKNOcAALGZoI3GKAFqKwGHCqwdcCQrQYjLUgYy3AWAsH0cQN3FJqtdbPnz2pqZNeYedltsMM/D9+XmN9a3zQqwAAAABJRU5ErkJggg=="},79989:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},73486:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},23280:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},30019:function(Dt,Wn,Be){"use strict";Dt.exports=Be.p+"static/nodata2.61f96344.png"},63232:function(Dt){"use strict";Dt.exports="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAfQAAABQCAYAAADvLIfGAAAAAXNSR0IArs4c6QAAIABJREFUeF7tfQuQXFd55n/uvd23n/OSRqORZEvYsmxLhBgLAnGwLV4hCSRhK1HCViohBLK1iStUoJZskt2NJLLEScBFJYJ4y7vsI5U1BG0WqNSmttgEhB2MbZDxS2PrYVu2JesxoxnNTL/u45yz/s/j3nNv98z06D32uYWZVvd99d+3+7vf/3//9xOwi42AjYCNgI2AjYCNwIqPAFnx78C+ARsBGwEbARsBGwEbAbCAbi8CGwEbARsBGwEbgddABCygvwY+RPsWbARsBGwEbARsBCyg22vARsBGwEbARsBG4DUQAQvor4EP0b4FGwEbARsBGwEbgasC0DnnfZ0HIYTbj8xGwEbARsBGwEbARqA7An0B6aUK3EJAvmcPkF27oCd4W1C/VJ+G3a+NgI2AjYCNwEqOwBUD9DyY7wEguwBg376s8n5ipwT2XZACvAX1lXzJ2XO3EbARsBGwEbgUEbgigG6CuWLjsA+ATOwHMl5PAX3LduDf2Q+wdQfwCQT0PQCauVtQvxSXg92njYCNgI2AjcBKjcBlB/QMmAOQrfuATIxKIB8uAzlVBDJ9HMjIBsnI14bAZ9rAT84D37UD2B4L6iv1WrPnbSNgI2AjYCNwCSNwWQF9ITCHNeCMFIHEk+BUi0D+buJ07cgrs+M7b97y/M1vgmg+Bu7PAkNQ3zoJfGICuGXql/CqsLu2EbARsBGwEVhxEbhsgL4YmMMZcMbr4JQ3APnKA5P1p4/OXc+BOlDy2h+86brDb/gRiLwOMH8zsJP7LaivuKvMnrCNgI2AjYCNwCWPwGUB9MXAfGMFnPAsOHEZnAePTg08+dz89ZQ7Him4DGhMXMKaO3/0uiMDmyGwoH7Jrwd7ABsBGwEbARuBFRqBSw7o/YC5VwP3W89PDz7x3NxmSp3CusHiubdfN3jqm4fOXtdsM89nvPXzb9t4aHwTdIImUMvUV+jVZk/bRsBGwEbARuCSReCSAno/YB4MgvfQwenBwyfnb4DYKawa9hs/f9ua424A5EQM7nceObFprs28is/m3/cTG5+troLAn4fYgvoluybsjm0EbARsBGwEVmAELhmg9wvmPzw4Pfj0K40bXc8pjNX9xntvHj0dueDSCIhbAN5uAvnW4ZPXNDrUcTmbf/8t1z5T2AgdC+or8Gqzp2wjYCNgI2AjcMkicEkAfVlgPtXYQsAtrav6zXe9afWZDkDRd8ClRPajEwfi+RngDx06tX4upIRwNvf+N10zYUH9kl0Tdsc2AjYCNgI2AiswAhcd0PsF82cPTg/+cKq9xQO3NF4vtW6/eWiqRcD3AIpPv9xY90+Pn9p5109tvs/1IfA8CM7NA/3Bocm1s21KHM7n3vemcQvqK/CCs6dsI2AjYCNgI3BpInBRAf18wfytW4fOMgol14HSoZONdfsePP65IKbrh6vFBz/+/hvu9svQZhw6zTZEPzg8tXamGYMF9UtzQdi92gjYCNgI2AiszAhcNEDvG8yfnx586qRk5qP1UuutWySYEwfKR19prv9fDx3/bBjF69AmDrPuw7XCg3f93A1/VqDQgiK05zsQP3loamwmiIFFfO597xifKAzbmvrKvPzsWdsI2AjYCNgIXKwIXBRAXw6YP3OyvcUFtzRigDlnUHppCsH8xOc6Ubyu5nvP/ejm4a88/MzU7zLOqyP10oO/+dPX/WmBQMtxJVN//PDU2rkghsiC+sW6Fux+bARsBGwEbARWcAQuGNCXBeaT7S0ud0trBkqtN18nmTmC+bHpxrqvf/eVe0JK15V97+iHd2zcMzJQbD16eGbzt544/UccoDpS9x/4jZ95w90eg04C6s9JUOcxn3v32y1TX8HXoT11GwEbARsBG4ELjMAFAXr/YN4ePDI5vcXhfmlswGv9iAHmx6cb49945OQ9YczW+7575EO3XfuHa4aKTYcDZxTIwy9M3/jPByf/I3CoDtSKD3zk/W+42w2h7XoQIFN/6rmZtXNBABDzuTstqF/g5WA3txGwEbARsBFYqRE4b0BfHpjPbXG42xPM/+H7p+/pxHR9seAe+aV3bPg3o4P+HJq+EhcYjYE4DrgPHz77xocOTf8ZcC5A/Vffu+lul+ZBnSpQH7U19ZV6NdrzthGwEbARsBE47wicF6D3C+bHnm8PTkzPiZr5qkqWmZ+cbY//w/dP3oNq9mLRPfzBH1//yfEBf4ZzCGbnW84//+MTOz7wCz/+Tc7AcwGK3zs886OPHjn7Oc55dbBeeuBfvuuaDKhPHJtZOx9KUP+Jt1hQP+8rwm5oI2AjYCNgI7AiI7BsQD8fMB+reK2bjTQ7gvk3D5y+J6AxMvPDP7t93SfWDPlnCw60z06H/Ktf+eYXwyC6fWCo9ue/9mvv/ZLrQok5UHrk2Zk3P3Z05h4GrDpY9R/Y+c5uUG+FFKgF9RV5MdqTthGwEbARsBE4/wgsC9CXA+aH52SafTWC+cZUAIdg/q3HzwhmXiiSwz9zy7pPjK/2p2gMrdlzIf3K3/7jvZ0guJMzDo7jwOBA+U8++pH3fSnmUCEulL9/dObWJ4+euwfV7/VK4YFf2JEF9cPHsaZOgVA+97ZbLFM//0vDbmkjYCNgI2AjsJIi0DegLwfMnzfA/AYDzM/Mtse//eTkPQGl6wsF5/BPvmltAubT02H81f/9rXtb7WAHYwxEHzoBAeojg9XP/PqvvudLrgcVxqFy4OjsrU89P3MPEKhWK8UHPviOdUn6PWxD9OzxmbXzAQVqQX0lXYv2XG0EbARsBGwELiACfQH68sC8tcXhTml1pdC6YWMtaU07M98e/85TU/fEjK33POfwu9605hPjw5KZTzfD+Mv7vnNvOwh3cMaAUoauMoCo7rgEHMeFoVr5Mx/7lXcloP7487O3Pv3CuXs4cAHqP3tbL1AHoBTm3nbLsBXKXcBFYje1EbARsBGwEbj6I7AsQN+zB8jWrUAmRoHAGnA2VsAJz4KDI1BRAPdSq7WFMKc07HeD+UMT0/dElEowf+P4J0aH3QTM7//ag/d2omgHjRkgO2ecAyEEOJdpd8ch4DoEhurVz3xs5x0JqD/54uytEy/M3gMA1Uq58MBP/8T43V4k+9TbFOIXXpwZmwsAOIO5W9/YDeq7dgDbswdg1y6REMBjir92sRGwEbARsBGwEVhpEVgS0DU7XwjMvRq4j59sDx6faW0h3CmvqRSa12+oTQs7Vwblk432+KPPTH8uYmx9wSWH79w2/snVQ+6kZub3/5/v3dsJwx0xgjnnAsQZB1g/VIYT59rg4BkSBHQHPNeBoWrlMx/7F7cloH4QQf3FOZF+r5UKD7z3trV/in3qCOphDNGzL8ysbXDgDoO5zTcPP3NzCJ1zlXSeOoK6zAXIxYL6SruE7fnaCNgI2AjYCAj8WioMCaADkK0AZAbAObkf3PE6OHEZnKdm24NnTja3+J7jD9SKrc2ra9NY50YwP9MK1z96aPKzNObrPM85cvsbxz45WHInXQKtyUYY3f/NR+9tBZGomVOWgvnHd7wB/tU7NsFH/+ZxePTFc0AQbwkBhxAouA4MY/r9A2//EjJz/O/Qicath47PfhaFclW/+OCOH1vzp1UGbU6g1Y4gfP4VFMoBDnQ5t3HzyLNrhqHjdYD5s8CGtwObAOC7FKhbQF/qirCv2wjYCNgI2AhcjRHoC9A1O5+5TqTXnbgEjj8H7pGzrfqJqdYWhzj+aLXQvHGkfjYoQpW5UDkzE17z2JGpz1IG61ziHL1t2+inVlXdSSDQPDMfhvd/67EvNjvhDsY4UGTljAFwAr9zx0b4xJ3XiVi1Igof/fKT8MhL54RADtPwCOrI1Ecq5c/c9TNv+W8RgZoDUJt4qXHrkVfm7kZQr5WLD96xbfTPXIAmqUCThxA8/fL02jgAYBHM3/jmkYMDkxBtGAQ6uhXY5D7gO3cKpm4Z+tV4ldpzshGwEbARsBFYMgKLAnovdl48Bu7UHLhnppv1k7PhDR3uFEdrxeaWsfIZbC0DD6pTM+HGx56b/jylfF3Bc5677YbV/65WcaeIB/MzjSj46+888RetMLozpqpmDujzCvDxd1wLn3jHpsxJC1DfdxC+9/I5AeYC1B2AguPCqnr57o+985a/BgfqnEL92OnmLYdOzH8ahXK1svfgj28ZvbtcgNmYQDNgEDxz/Oy6qOkR7pC5W7cNPFt2IUxY+h7gWEu3DH3Ja8auYCNgI2AjYCNwFUagb0CH/eBsXQPO8VlwX2w1B07PhFu8EnGrTrGxbUvlVDwHJacIlVcawaaDz839Vczo+qLrPPfWzas+XfXdafCgeS6MO/c/dPDPG63wHRHFNLusm2PN/ONv3wCfvO3aniFCUP+Nrz0DD5+Yl61syNIx/e65MDZY+dxH3rb1y7EDA8Cg/vJUc9uhE41/T4BXK37xgbfdOLK7XIVzrAWtNoHo4PMz6ykjDolJ4803Dj7b9CDauhWoTbtfhVenPSUbARsBGwEbgb4jsHxAHwD3hRcatVOnohsLPikMOE7zhk0DJ70YSqQAlQcPTf9BuxP9MnaevWG8/sfXj1aeAA4Bc6HxPx5+ZvdsJ7wzjCmElEEsAB3Adwl87Re3wtZRLIn3Xr70xCn49IMvqbQ7gOc4UHAIFD0XNg7V/uSDt1z//ziFmsuh/NiLMx+eaYTvdwjh61aVP3XztfVv+xE0z8QBfeF4tC6kMWGczF9TGzxU2wARnAEGO4DZOnrf141d0UbARsBGwEbgKovA8gF9Flx/ENwT883qK+fCLU7s+MWi075upH6qXIRKm8LAYy/MfKYdxncSDs1rR2uf3ri6PMEItP7phZNvnDg1/dmAsmLEGCBL54D1c4Ah34H7P7AFtq2udIXo/mem4PcfeEko+DRDR3aOgF72vJfes3n9b928ZqDNKNQmXp794PRc+BvgEj5SK+7dtn5gn1uBRtAKoxOnovG5KOauA7OrBwcP3bweonAT0GFIhXE25X6VXaH2dGwEbARsBGwE+opA34CuFe66hj7ig/PyXLN69Gx0Uxkcv1Z1OtcO186EAFWHwcBjz8/sDkJ6OyHQ2Dha/Q/XrCo/DQDNv3/uxC3PTjU+H9DYR4YuBHGiXY3AcMmF+993HWxbVU5O/n8eOgu//90TQumO/ehYQ8d0O/allzzvxR1vWPvRt6webFEE8+PzO8+1gt/EFvaRWvGLW9YPfM31oMGjKDp6OlrbYTEreTA7tnrg2XEKYTAI1NbQ+7pO7EpXeQRQ76K8mLQnU9cZ25vVq/xDtKdnI3CBEViWyn10J5CnjoKrVe60CM5cE+rHXpm90fVIqe46nQ1ralOUQQXZ8pMvn/ujIKK3EyCNa8eqvz8+6D/NHGj9/ZGTbz482/jLkFI/5qBAHQVyAMMlD7787mth20gZ/ubIDPzBIydlbx3h4BJH9KVjT3rZdV9817Vrf/3W1bVGHEH1+VNzvzzdin4LVxyqFL9484baNzArwEkUvXwqGmvHMfcKhZnNa8vP0hgCtwkMVe4TZ4CZvej2R+8Cryi7+WWMABcdnbv3ANkNADsPAtmHf3cCTE7sJwA7YP6VAwRguzin9roJArAVwrNHSXHVZo5/b+hxtrVVmznABBxUr5XHt3I4AFBfl/o1jG6Vj7dNyL/WnOkyfuz2UDYCC0SgL0DHbffoPvQDsnXNnwUX+9C9NrgvNWFgOmreCJz41ZIbjFf9SXABaXb1qZfO7QpjdrsDpDE+XPm9sSH/KXCg/Y0XT996eK61V4K6bF3jHARbH/Yd+JXrh+ALz8y82iGOrnEALqrbAUTLmu+6x965YfTXf2ywNh/FUH3+TONDc+3wt8EhfLjqf+G6NZVvoLFM3IH4+FwwhmayAXVmtwyXnh3eCMFsB2Lbh26/EysxApqJmyCu38fktiyISwDHRYL4DbAZ2vPHyDEA2LRpEwSzxwnABgibJ5PfgWjAIXFL2DmpZVT8pZ0pMlQ9RwBGxL/jAB8PA63MEoAhuU4wRwAGgZXmiePX+eDsLHg+4/P+IIcZAG/dMIez0+CVUTkDUGhwPl0Z5QCnoVBjvDhLuT+4gZfP4k3CUaitCvnzr7R5fd08Hz24g2/bZjtRVuI1a8/58kWgb0BXp0T27AdnfAeQ4KgB6iVwXzoLA1MzzZuKBVIsOm64YdCfxJGnDKBy6MT8riCK7/DAaYwMlz41PuA/jeYy+05MbX+u0dwbMubHoh9dsnW94ENsUXPAAVcwcwCfuMfevWHNh99aKzUoh8oLpxofmguiuxzX4bWSt/e6DdWvexyCsAn0eDMYi2LKOXfODY2Unh2vQ+BXIQ6aRqrdMJXB41qGfvkuPnukfiPACX4XyJ49BGAXIBvffXAf2blzp2LiAPOv1FMmPqOAfJsEcoDNsGHVMQKwCY4dAxgfzgJ51HYIjAHkgZzWpsTvw1A7B+TDw0ADCeQSxAFYSd4EDMAAzITzyeNzUYPU6zVgYVP91tSARvIx80WVQPhDlaMWaUIFysU2aamwlGKZnGMxIYIeoKVj3CEg/tGGOh/G5hVwwiZ3vAp3Qs7doQpvBw3uBJy7hRp3O7O8Uaxz15/hPt3EvPIUn2lw7lUYL8wxXl83zspnj/IzwWaGGYgdr3IK277a73Vp17vaIrAkoIsvERa4kaXnvNxHikCQqaP9q+ODe3QS6o255k3gE9+nbjA24J9Bpo6gfvTk/K4oZncQDo1Vg6VPjY/4TwGF9r4zU9uPNoK9AaW+BnTtxYoHRVaO7Bz/K7nusXevGUnA/KUzrQ81wugu4hBeK7l7r11X/brDodNuApvqBGOUU+ZQZ3ZwuHRopAIdE8xPzgM3le0WzK+2S/P1fj46nZ6COKbUMSqaieNjnVIXbBxz5CaIzx8jkDBxgLCJt8UAsG4coudO9wBxZOKErF4NECsQ10wcN9NsXIO4ZuMI49VwnsyJnQ9ANWoQSEC8N4ALoI5aBECKYDWQpyDeIVAuGwAOwCiCeQn8OCBtKAlYl8+VgRfwLy4lYHEg1uMF/OsnF1KRAgkAoIgiHLEtvq5uFPC5EIB7MsacEuJwzkplzmNeZGEc8LLr84hz5kSce36JdbwWF48ZZ+2Q80KZsQKrsnadMbfDuU8ZK9MRNh8D3iwkNw7XzQD76leBWfLwev+OX/z33xeg9wPqw9eC02yCtxioHzvdwPT7Ha4DjaFa+VNjQwUJ6lOz24+023tDykRNnb3KQ3DqGsHBLAjo+DV13WPvGV714bfWPMHMj0+1PtQM47scl/CK7+3dsLa8LDC3Hu4X/2Kye7zQCMgb592794iaOLJxXBDIBYjvB4Adubo4snEF4phSPwIAG1YBSZm4AeQAgCl13KfJxhHEYbVk4mcBYBWMJCl1GMZU+iyhgU7DDwIL58nAwAAggFN8DANAFYgLoBRs3AByZNhJR2pVAHm5SEhLUfFSsS1AmWn2XTaZOAIvEAniuFYJWrRDSiVJ2bkCeQ3i4rlCamnNBWj7AsSDAMD3JZBzprMDWRDH7YvFIgSdkEBRfp4FSgj+HCXg70YE1Is8eb4IBTckIa6f7LsAnOG6AFxsU5DnzGJSKBQgDCLiFj1KaMgdXmDECTlzPOoUiiyKA+7yInM5ZxFvM5f5LGKcuSXGim6ZukGDx26FFhljbcpYKaas462m9RDYmU0TbNvWrfSrO+1Nw4V+I1fa9n0D+nJBvTPXvIn7xPdyTP34VFMwdYdAY7BS+tRqBep/OzO//WgQ7I1i5lNsZkNXOJy2hszccV9890D1wz9WLc0jmJ+cbn+oHcV3gevwiu/sHR9NwfxcJxiLOWUudWbXDJcO+T2YuQXzlXaZvpbPV6bTccEvI9bG8fFBZONC3Cb/LZk4LtuluO0gQLi2mNTFYROodLon1tNsXAN4FsRVXbw2RVYjuGPKXS1xRQIdDfTftC4uEHwgZePVyDGYuNwBjRT7NdLp+Lxm48jE8d+I5QkbLyhwbSMYa/Ys37cfEwHkPu2QDm5TKgOnOhUfECiVQIK2WFsCJt4A4F8vTBi6ZuMCyBGoFRtHJq7+KbYtGAxdnLcCbI4pQrWkIA5QcBWjZ0SAeREUiBcQuE0Ql9sjsBegABHqgVgkbywKEujxSZ7sT27ruTGJwQMPPyckN+aNCJ4b/ieOFROxgueJx7gF55Tghp7rxjGNuEs8SjHDgJ3ChFO8iYg5Zy4PGCVF6pEijViHFRyfRj5nbrPJik6Zxg6jRcpZ6FJa94Zp4AMdio+y9qrN9Nu7gNpMg74yrvzfZQG6uCCXSL+bTD1qBTfFReqXWDFYVfGS9PvJmeauOIY7HMIb9Yr/qcFy4WkUyv1do7X9uXb0lxGjvgb0okNefPdg+SO3FktzwKA8ORt8qBVhmt3hlYK7d3TUT5j5fIRgDuhWM7umbsH8yl9e9gwWjID6HuHrGYGboVDH15KUusHE8fkN854Qt+EyPtwDxE8D5OviwzVCptQ2QyaIa/BWArdeKXWTic9j1TsBbAPEEyaeGkSxSAIeAjlTNXEBlLiueAHZuAbxDkEGjmwbU+oCogWQl8EXKXWdThfIroA8TakjkBcNEBfHUWCPwKnT6RL0U4BGEBfMWj2XZeMKiA2GLmDbxZuFYsLAEXwRrE0QF8dRAIxAjQAucbsAHgKwZuyKvSfbujERiF+QQB4JgMYbBWOYVnKjgfvBtSSou/rGQ4E7Bhpf5zwm3AEF+ul5ifwnAj8u4mYAiL55wG3wDGLcr+el64ljqRsZBwhxgLvMjymPmOMBcwinLAYqbyAi5uK/iUfxt9mLOGUVHntRkVKHU5e1GSv6cbHDaexUadkFGnnTtO1HdGSqTWHTptjeNPT/O7psQD8fUOdF8AvMzYD65GxnV0zZHUBIY9D3fq9eKTwNHgTfmA/ecigMP8+AFz1wXvqpWu2jW4swywIonWsFv9yO47sAwdxz9o6sMsGcjsU8Zh5zZ0fqnmXm/V8Dds3LFgElblMgLsDcTKnDDnEmC4G4ELcplboGcVxfsvFxiNqyLo6LTqmvWTMKUWtKAHlG3KaYOK6LbDwD4ihqGxjIpNMRxE1xm2biCTgLDJdArlPqOqwayEVKvVxGPVvCxCXopil1BG0B5AVCsul0fFbXxUUlXYB1oFi5rotrEE9S6kUfOJMM3mTjmolrIM+AOAJvAcFagrZc8iCeptPFvhWzFo9ZTPS/kY1roBYsGtm4wcTl+pEUCSkQx+c0E+8Ccc3GEaQFWMtFAHkPENeMXR4nvYkBcb6epP2I1RqgubwBcB11o6DBXoO4hwVQPD9KYp7eYLh4s0DxBZkZSM4b12dUveaCwykRq+G2uCvqynsKaaOQ3DRwIvct1sPVCHCHO7HjAeUhUOZx6uBeGY8x2+AyL2Ykop7rxSzmlLs8dh1OWcgpK7DYL/hxHHAaOYxWIxZjtmHVwHAcTgGFTRDvgD1s9+7dYkDXSl7OC9BF3Ptk6icaUG/NBjfxAvgF7gaDRcXUPaicnensYpTfgX3q9XLx3/plZ8IjEP3fIHrr0YD+znuqpd+9yYXpMIZioxn9YieKf5t4hPuuu3douJAw8xanY5TFzAN3dqBkwXwlX5CvvXOXdXFTpb7z4D4CmE/vSql394sjiOMiVOrHNsHR4ePkGqPVLE2pj0HcmlTf5zSl3qsuLsVtuKBKXbHjkqyFo0J9AADmcDSCUqjjmtm6eBVY3FJ1cQni5QgIU+l0/RkikMu6OK6QCty0uA2fNlPqkNTFjZS6AvhsXVy+brLxTF1cYLAGch84DUVaPVCgVTDS5wxT7Jh+XySlnq2LG+CXqYsTglgdsjSljkDtaRAtGPX0hGlnU+qZur5eJ8PEZWQ1WLoIgsicxQeUMnH5hAR8jjVLsWSZuN6PyzGlj2t7wDWIixclazeZePLdVCCbgLJO74MLHMHbPJ4rbwAkkKubAQR/8Z3oDeLmuTrqWCK7gIu4G0jOpL8H5jaLbI+lCO44sUMo5cwVNwripiHkMSssfNPAaTGmTpvqmwbms7jUYjS9aTh22TIN5w3o8gNZXP2u0++LgfrsfLSLRfQOx3Eavuf9YbXiHMJBqgyAODijnILTaEcfDCn712jnWiRkb33Ignl/V7Jd68pFoLvV7OBWpVJXdXE8t4XYeDzvkU1i8KDuF1+qLo7rjsJwTbNxJX5bpF9c4EAJW8wkG9cK9WxKfWmVulCotwAqFcSVbKuZbjNDEMd0uqiHq7o4Hh9T6gjkeTYua+nZdDoK2ngrJELZlkuniyfybLwIEHRA1MwR0HWavXdKXbJxFMSFIdbGw6xwLqlVZ8VtOtUu2TWm0oHI+rhk41oUJ9bTII0pdZUmF1DLiABVN5dS52I9uchUuAcRp0RiuKdAXFp1yLU0KGs2nk+ny/3J/aSPE7DMsfHkeXECQCSOegAC+FNAzmQRNPCCZOMJ+jooidJgn0vfIxtHoHXkMcRDDrJEsNiyEFD3C/pXYHt508BjvFHgkRtjpsFlPOYUqL5p4IzHbhGomWlY7KYhGgjjG18c6+zbR3SAz/9nbzmgHjaDmxgB38kx9WYz2sWwpY2QRtH1dpdLzlH5hQXSiej7gzj+GHEJ94iztzrgJcw85HQsZjEjlpmf/wdot7y4EXj1Jjetie9Tzm1pv7h0b5M/VNq5DR9vPAtEKNRVq9nRWWTickkEbl394qMAawDoS1Oi1Uym1R0iW82wzUyL3dJ+8XyrGYI4at2qJSAw31C94SmIi++hIXDDdHoVKtBUdXHxulkbx1S5ro+rtjIE8qZoJcOlJNLp0MG0u6yLi31g25h4Lm01S9vMpLgNW84KhgBOi95kSl0L4kIiauIhqtUBAiV6Y0b6XLPxvLhNitrSunjCTgUTxwVBOa19eyrNrlm5ADms1Rvry+dQvKbAOamLE1GrTs5Bg3mSUs8ycQR8AacJyMm6uGbimqkLhqwBHpE/BjCBUdTFXQ/iKFt2dQ7nAAAgAElEQVQXT1Pk5nEhTY9rUV7C+PV66qZBoL0r0u0uuJJIqzQ8dxBnVCZBgTyepyDvXB4DAVzjawbI+2TXC36JXwfbF1znyAfWVp7YvZtgg9iFL8sBddqMb4oKVNTUa65Mv3seVBvNeFfM+e2EkGah6Pyx6zjPs4D+dMDYR7A1zQHyhVLN/ZruM6cOHaMcmAN8tuzZNPuFf4p2D+cbAfP6lzXxfUT4r2LPeEalvh3aStwmgFqYvkiBm9kvbrq39Wozw7r4yRyI436EQn0m7RcXoG6k1DUTx9S6eA1bzQzAztTFu1TqQLRCncWyzUwvTCnTTXFbUgs3VOomExfHXaBffCGVeq+6uABMJWbLi9vEMRZTqReLwDshKYp6uQnaWEPvVqlroDbr4uL4Kl2f1spTFg9C4OaBJ/bXQ2AnmLyuh6fitpSNpyn1hImjeC2MhYJdArpiwhlxm6qF90qpJ0xZpciNGrr4TDUb13VulVLP1MUjKmvgCozlI50RcCEBcZP1G3VxjbNYh0dgT7MM5/stfP1t5zpuTHjnBwfuG3lJv/uLAujiGlhG+h1BnReITxhPQN0hUOtE9I848Ns5J03HhW9zBh8AvOEF+GLRc77hFKCFDnAdC+avv6v3qnvHnMh+cdkrjkAuWs2E8YvZaqbr4vI5DeIypS5y6qDZeJ6J42tpv7isi5spdc3E0YJV9osbrWaDg8AmpbgNF2n8Ik1f0pR6TbyWcW5D6l3Vzm0oc6tAI24TTKfjYqbUUzMXCe6YUZPrBCK9nu0XN+viCtxU6lz8fqht8TEK3FLTF6yFY0+4YuCGwE0zcbFNMZdSF//u0S+OK4qaeUjSfnHFNrF7TAnWUsGZTJtj37hMpS+WUldAjqr0gqfazCSjz6vfsd0sn1KXEfbAdalsR1P/1kxcxEmnu8XNgZFSF/1pqn0N98FBpvHV+qIPOFkkkOdT6vplZNZJfdvMIuDxBNvGBVPqSrAmxGsI8JKhyxPJ1uBxnxrEu1Lqy2XR+ZT663B7x2XzxdLAdx/Zq/yc1Id30QBdXGzLAHXSiW9iBeI7EQ8qnidtYgnUOENQJ7fjLRvOMycOfIFwR3qzU4g7QMdw4qpL+Gyh6h3yebcDnO0zT7+69tHFi4Dpo457FWwc6+L7Uve2XsNQcF0Ect1qlvqoL1UXVzXxKQDp3mbUxYeHQbLxHIgH0nZVu7clKfWoQdLU+cL2q7glWrDi0tVqhkxcKNS1/WoK4mj8ItrKhNGL2DqbUo8Jkel0XHR6PCC+SqVnQVyugyl1My2umTg+p3A522pmgLr4PcL1ZMu5UKFLvbpm42m/uF7XTKfjc5hSRyAW5XEj3Z41iVHA68oWL71ELJ9Sl0xc3jCkqXLRFiZU6iaIi6PnWs00E5cMWh8nBWUE8bQ2n281E3HUWW99s6CYOFWqdhPERfocmX+iXsdnXIhVSj1pdesB4jqeiP94Y6EBvPucF/luLhek87t6DW/vOO7LDp/4wYH73oKXZma5qIAuPsgLAPXYAR8cKHsc0F7jdmDwF7wIXycAaMHE5i2YL/INsC9dmgiY7m2pcxseq6cFq0qpbzx7VNTEUaUezx8TbFwOQ1nauQ37xXE9XRNH97ZBVReXA1Gypi+4riluE85tpQYB0WumfdRzIC6YOG6pW82U8jhuE+3cJvar6uG9QFwzcW38YoK4TKerfvFWkAjZBKTmLFjFcZSjG7LxXv3iCRsvLtUv3i1u63Jvwxp3V+uYTodLNp7Uz1XtO21LM4RuwhRGoqTsF8+BuHhjKq6JwM0Dl0mzGMFqe6nUlTmMBEatBDcEYmobPMeMSh3PdZF+cf390CDbrVJXmQrdaiY20Cp1CcwI5K5SrosbgHxbm66dG+I2sdliKvV+RWy4o17rvk62x2hzzp944j8PHF7ot+6iA/pyQd2N4htJgfhuxIOi652KCPhuAYougbcyCo8ELtBCCyB06TjjwD3CZ4ll5pcGu+xe0wgIcZtMqct0umw1y4I4/sgegPZMWdivCrBWw1A0iONzmalm6KPeOC2+d6b9qjZ9Qee2vLgNuoahDIpjSRBH+1UiWs7EY1EXrwHzpf2qfA4f61az1PQFW820uK2rLi4YtcnEUx91ZOICxAuEdDr41xC39aiLa/tVAebKRz0FcQVahkJdsHOaFbctplCXwKcAD+viqk2tq2Yt6tgGu01MX2SrWdbZLe0lT1PmarCEgnDTvW1h0xfzmCqdrqmyvllAxr1YXVyDvlLCI6NPxG1Uic/ydXETRPP94ur8tepcsncXIKmLpyAuVhVpdvlcptUMgZ0CcEJJcpMg1klNZ5b8SVkOGPfa2etke9dx2oTT7x24b0B7Q/UM7SUB9OWCOqbfwSPFIuPtUsF7JZIySUd6FIDTiukGHDZFGJ8rDNo0+5JfErvCeUVApNRf/Ubs3i3ni+u6eLePOigQx8PoiWapexuavrwMAKhSTwai9PRRHwWcaGaCuGTjipWpuniX6Qse1jR+UWxcp9R7i9vQ8EXXUeVUMwGqOYX6YqYvwsUtY8GadW8TrWYoRVe1cV0X1z7qBc8YhqLBVFmt4rmgU5tg04ZKHYFcCtukbL1XXVx7r6O4TbJx5Z+etJrh9pFhrCJd3YS1qmnPqsxdTJV6L9MXPNcu4xclbktT6oZa3CUkjtGIrbvVLJsKz7NxXRfXJiuS2Yvja8ZrtIYJIZqpatf94g6QmGIJQdnBmjdAifAtm1KX5i+6Lp7tFxe/73njF6yp4/ER4I00ffJF7DcFbhbazX7z1/H2xIUzQ53aw/v/u3A/XnS5ZIC+HFCfbkA9ZrCFMvCLLjR8Di/HRKR4iozAtYyjMRHMQQ0O1yA7AhWnptma+VIfs319oQjoujgYo0kX6heXTLwbxMW+e6TUF/NRX6hfvEvcBikbr4byh1WL2wQgJ2r0/vrFdRwScVuiUE/ZuE9B+qerdLtOqWufddOCNX3OqIv7kmHrWnmXj3pi+pKCuAC2Xv3i2nc9UZKnTBzRO/VSz4N4d7+4p0Bci9vEb1RGoS5uKxbtFxfbmP3iife66s1W/eLaR72/fnEB0UpIlvaSSz92afwi3dvUezfZuGLPiaHLAgr1rvNW+0LuhOeKpi8CP9HlzWiNy6TUCfaJu0BFHR3JuQJxtQ/7K3PxI+By8uzPbfjc0/262F1SQO8H1HH0alwAJ2BQbwdwA4+hWHBh3uFwKnZhE2fgEQ7z5RE43GxAODQAVM8zt2B+8S+g18cedV1cMnFclhxNajBxnGr2jFEXRzY+pkaTChBHH3VMqdfToSdZH3Wcajai6uLDYt1sXRyfGeyuiyuFemrBujCIC7Bfwkd9IXFbXz7qPeri4vu+QEp90bo4wqgC1oV81NMBKgtMNVO9371T6r181E27ViPdrn3UkQmrnvDFfdQV2Oq6uEsFG8cUuvRrN8Rt4qJABtu7Li5Feap1rU8fdf19lRapyvRFsNkcG8/UsLMpdQHQprhNAXtyE2CI2/C5vtzb+mHa+uQXq4svpmh/TW/PIyh6jz7xnyonlvObfMkBvR9Qj8vgeG1wwxpU2yHc4HLwHB84pokKAM1iDQ6vLkN0PADqdYD5s8AsmC/nY7briggowWZmopkKTb7VTPeL6zaz3j7qGyBsnhTfoQTIx7KtZsjE8XVdFxe/6YmoDS1YhySg637xHj7q8hR1XTwdhgI1OYpUvm74qCOzzrWZCYA/j37xRNyW81HH3B+K23C/HRoS33Bv690vrll790QzcW45C1btoy7V7Lou3j0MRYLOwlPNMq8lKXVV4zW2Q0V7LOXsffmoy+NqwEb3NqlWN0HcdG5L+8UNlbohftNtZr191Hv1i2tVOwD2cguLdZHulu1sCWPPObdJfNRmMLrNTOTQU+V8Lp2uDWPkV0h5sPf6SXmd1LMX/DW9WO+fkHPDXvWh/X9FGsv95b4sgN4vqNN5cDoOVIpF2Ow4wpKhWa3AkXIV4qkImAXz5X68dn1R7Xt1PKnp3paK2zA+6XxxcyxpGjmpUu9dF08HonQJ3BDBVwPQ9jki54srZbryUc/MFzfEbQKaI0f0itfxH0qlvtQwFABZFzfHkgqgVDPG07GkqbgNU+nCuU20muk2M2MSWuKjbjqxaR/1FAAyKXXB0g3hmWn6IlLkyjs+M19cK8yVQt1oNZOfQzFbF1dtaPozSieapXXx3q1mRrpcD0PBnSj3ti4RncmYlUo98VFXdXFhpKo80GW/uKohJ6NMVd+26d6WS9vrASR5C9Y026CNWtKbgWQYijhezrAmU8Pu4d5mitvECUvRG4rb8J8Ltpq9jhXm4lq7HO/fZceG1z722P7d79TmgMv6Eb9sgL4QqI/vABIcBScugUOnwal4QFo+VHwK4+DAC0ELqDtiwXxZn+rrfmXpo75HzRbHcKSmL/sJgjguaMFq2q/ic1qlLoah9PBRF1PNBrIq9TUwCieRiS/UL95jvrgA29I80XXx1IJVqdRDqVLPmL6IszZZuSluS93bRKuZGEva3S+eaTUzJprpSyZtU5MgjsasbZrtFxfnbowlxdp3vl9ceKf3AHaRUjfq4tmJZmkaPDV96e4XF78lyoJV18W7+sUTH3U5azxh6obpi7ReJdmRp5p1G21mqclMqlLHPm+xvUp1C8OXXiAupPB50xdzIAr0bP3S4C761HmceJzLOnoPcVsOxBMfdSVU62X6okFcM3azX3xZPur64lkOQ70c4LjY7+BVdnzHAeZw+sMD9w09dyE/35cV0BcE9TqQYBCcOqpbz4Kj31BzDPhwDHw+Bm7T7BfyMb8utsUuTcHE8d2K2vjBfWQnjjRT7m3S9AWX7Rkf9QTElY+67hcXAK9r410+6vjqKNBODx/1xPTFTKnPEVbSNfUB5dyG+5DubWarmQZxAZyGBWs5ahHT9EW8ngxD0SzbZM5mOxkhor1M6GTzpi/SFMb0URffVRxraqTUM+5tYu64MY3LYOIibpL4KTMXacG60EQz3eOd+qgbIGxYsJrTyDBFjixcuLjpueKJj3oOxGWgEvc23I8E89TZLaldG4NTsin1tKdc18VTH3U8gDJ+MVrE8il3zcS754v3TqnjoHjMpOuUek/3tiQFnjLxVMhmMPu8e5vyUccz18I48XmaA1EWqoP3+3Nit5fdfkve6PBW3at/95/vJTP9hnah9S47oOdBfdcugD37wRmvAzlZBjJSzE7YmQ6B37kV2CQAn3j1hngX+iSphRCSPL7QQNjtV2IEpLhNp9QFkKt+8R3bJBPPOLcZPuo4DAXXR3Eb/u2eLw4Q9QBx00c9bktx26ouH3WsiUvwTkE87ReXw1AkiIt1wiZZKKWOII7p9OwwFMnGNZsWIVD1cbG/ZL64Sqcjze50O7cJ+p0biGK2msl95VrNchPN9FWjfdTljQAhaJEqHguxmvRoM9m4Vqcj8KcpdWPEaEY9rgDaleCth6Fk7Fkzo0wjAqotDi1YcZHTzJCNq98XI50uz1PX1WXaXI4m7QHiSb+44dwmr0H1W5pvNZM1Z9QDCXads0SV8VsgpZ5LjSfnboC4OHTGvU31iyfCO8OCdQHntszxcYdLApDxW3GVMV1xZivo/B0GpzZfU3t4327RsXnByxUBdHkRpqNX0Q57KwCZ2A/kzh0Ahw/IL8eW7cC/sx9g6yTwiZ0WzC/4036t7CAnbsO3hSl1afqCi1EXRxDHZVt3v3hPC1YF4gIEWgup1LMWrDSQTLyrX3xAgjjuS7i3ZXzU8dn+UurddXFVM1XGL3q+ONqvYl1c94uL71kC9CU1DMV8zociDUgAaMCaKtS7QHyRurg4hmLniULd8FHPp9QFeLto/Cjr4glIZZi4Hhua7xfHbnLsHVf+6BkQz04005d6V784vmC4t+njixYxtF9F5DdYai+TlIx7WzIgJVWoS/e2Xv3iBnirfnHTkEXbrKYzzI1SxgJ1cWH6QhGpu+eLi88mNxBFerArkF9qPKkOYr894Av9vtjt0xnu2ZuNg4/fV5u4mMT0igG6Cer4eA9IEEdzzX375OOdO4HvUS/u2mWZ+WsFj8/rfXAu0jFEubfhPpCNY0pdu7f18lHPTjTDrVIL1nSqWS9xWzpbHLfCsaQC5NGCFVPqoi7eA8hLSvwWzgv3tvxEMxPERT3cRwaeKtTN0aQZ05eedXHT2KUk5p8JJbsxmlSr1LvnixtjSj1C0tGkeghKtwWrGEfakT7quKSjSXVveArupo+6BvE0ZW7YpxrubaaXOjJmafqCixpbukhdXK6mbVULAk7z7m3pMBQ93Qw3khasovyt6tPytynODC+R567U4XoeuQBls9UMCA5DoTF2jZkzv/PDUPA1fdMi1epykIoulxg+6smXxZgv3tWHno4mFQCuQEOn+LVKvasuvhDQ9stw7fa9gXqJ+BHCw4LnPPz9v6qdOq/fwkU2uqKAngf1ft7cxbyb6ed4dp0rGAFk4q9eodq5Tdzk6dGkYiAKEF0Xb68rEzgombj2Uc8PQ5HubblWM/H2xiBuTarvQgrkCOKpj7ruF8+2mgn71Tk0bhuAGQPE04lmuH9zvrgGcXw+FbiVi4S0WgA41cycaCa+Iz0sWPF5NH5JhqGUysCFWj3HxA3nNrEvTMf7AJ2WbDXLK9RxqpmcL949llRgpmLj+BhbzbLObX34qCNId7HxAqC4LYoA+vNRlyl4PY9cp9PlX6Nk18NHHW8aMqNJTftVudfcRDMznS77y3VtXQ9DkWCcN31J1e75qWauErr1dG7DUzBMX0yhmjR0MdPzuVYzsTKav8isc1/94kt9vS27XohdLxU5+Xoufo5Lph1SfejAfaIh5aIvVxzQ9TvSKfiF3qEF8ov+2V/FO5QqdfKqwE1bsKLxS5aJ4+lnR5NKIO8ehoJrLjqadM0o0FbWghW3ybJxQnRK3RS3CVhWaXU9EGVxC9beo0l7s3FT4AZEp9TRyU18eCU5tlTXvROFOgJyYr8qmXjvlHo6mlSDuAZyFKgFLMxMNUtni6d1cbG+Ak5hwSoc4tB+NddKtRATV6NJ8z7q0MXG05R6Opp0gfniIn2eOrfJC10p1DMpdWn60rtfXLNxT5nBmCl17VWunuvDR11UtlXaPE2p9+oXxxXT0aQ6pZ7MF1cfkPij2HhyM2E4ti2pUr+Kv/2v1VNzOX3u+tlvPr5v3y8hzF+S5aoB9Evy7uxOV1AEZL84LqhU18NQUKQ+OZFtNcN10PglXFs0rt/NsGH+GDmWCNxSJt6r1Qz3kXVvS+vlaPwi0+m4qNr44CDALIrc0pQ69ovjGqJnPJlqpoxf0PTlXIvoiWZSoS7ni6cDUVI2qVvNtJe6rovj/vOtZjqlbori8ir1dKKZtGA1FeoShHtPNRNgLJi3cTORazXTIC5MX0IleHNDIm8CIlLEFHky0UwqyU0Bm9g+SanrOeOyLq5fkwAvziajUMeauEiP90ipC+YfyoljcqKZFLel6XTcX+rEZoJeWg4wgNw4hjlffKGUOqYMuBpwkploJtTj3fPIzVq9ad4ip6DpYSi5+eI9UurCglX3kgv/9SW+9ou5r/WTbrfbp6wdQ71EFsPBNYreD374xfKLl/oH2QL6pY6w3f8iEdBMXE41S0BcbWGm1GWrmQRArIuj/SqOJxX94sc2QTCMo0lNEFfubTAGAKeFwA37xc/g908NRDmdmL7IuriuiesTRvc2nVLHYSjVcJ4kPur1VKGepNQzzm24F2TjONGsBeUe7m3C9KVcTvrFTRDHrUVKvdARE81KIqUu37+si6NEHdPxRi1cM/cerWYCsAT26pS6dG6TLeFFKODscQPExXFywG7WpFGl3nMsqQqeZtypWYscSypvBgyQT56Ts8cTEMcHCPqGQl3fSIh1FhhLii+hIA2V372GoaRsXKvUFfoZo0zTdrWYYFpcKtSzbDwZr2oIy9KatewdR/c23WqWqed3ube5ySAU8R4FOJs1eMnGTR/1JSea2VT5RU2VL3mTlP+VU/EnnDVcZ+C7B+4js5cDCiygX44o22NkIqAHoiQ945l+8f1k/pU6SdPpE6I2nrLxPBOXu16qX1wPQ8F1U4EbIXIYSne/OArasL2MohWrcm/Tb6KflDpUK9BsQm/3NhSutVO1eZ6Ni5Q6ptMTcVvWvU2CuAJnBeLd/eKpuE2ARGLy4kOBoso8tWDV4jaBk6Jf3Gw1M9tI0Xo1JDjVTDJxQ3iWq4sjeGNNXLeDLTzVLDu2VPeL441ADBGgj3oXkCdMPD2+rovjunlxm9jeGDhiDjIR88Nz4jYEZhS7JUxc7MBo/0KkFttQzCrJNjddF8+x8QTIDeDH2rb8vXflaFKq6+K9xW1i/2obBHLhux4bTLwfVq0vXttmlmXXGJdLFD/C+AnXrT964D5hmXBZFgvolyXMr/eDZNPpGA3BxnfuBBDiNg3i+Mp2kU4328yQjbcz6fTeII7Ppq1mprjtHAEYERv19lHPmr50gXg+na4+zm7TF5lSb8RtkhW3Kcc24d6mrE9ph2B7GbaZIePuVRdPfNRLJZAzxYVRq3BuQ6Zd9EISxkWO40kzpi8sFGw8YZEG88Z0usKn5LufB/EMgKo2M/mWpZe62Wqm180o1IXwLR1Nmu0X7/ZRN01fdJtZF4iLNL2qdyshm3BR02M+TcA2LVjFTYeR7lb95ujeJhXq4hZAAKYE/rRWnu8Zx5sCmTGQKnUEcYEFQhGfU6jjzgwmLvad6xeXdXF5/ORYqs1MwL2YgmaI23r5qC8HjHr9DNntuwF+OT/XPeJHCHDP5U/+4N6BQ8vZ1cVY1wL6xYii3ccCEejto44r9241S1PqcoeSjQfJfHFDod6jX1yn1LtGk+IwlBmcaJZl4uZEMzyaTKkbXupdPupVYLEahlI1Ws2qFWjMShA3e8ZTG9UUxHWqXKfNhY96l7hNM/Cse5tOuQtoVVPNJJBrcZu0aNNsXKfQ9Xxx7aOO26cCN0MprRXiciIKcFUX16lwAeSSMKc3CwiWyJgDmVLPjCbN9IubbWSyLm56qEuFei7lnswzX0DghkBoTDRL6uMKqDP94gI3Vf3c2Eb0n2vbVuUzL9+hdm8zhGuGC1zWgtVYJwfkGsTF774C+HxK3RS3aXzI1MUT+1b1NVsMhNMdLKvOm3yB7fa93d36LGE4lHegSr73w731ySsBCxbQr0TUX9PH1D7qewi6Csi6OC7YL56mb9FHHZ816+IJiOd81HVtvNd8ceHc1pITzXAZaks2vnC/uJ4vLoEMQRxtX3S/uB6GslC/eG9x21I+6ulAFAR0MV9cTz7L1MXxjBDEZWykj3oaszwTF8CKtW9z0AnarWb6xdMpZ3kfdROYZfSKAsS7fNTxJaVSz4vbdOtYvi6eVa0ri1VXtoxJ8EbRWkGBuLpLwOOIlH/KnHv5qGsQF+eP7Bjfv85WL9Evrk1fRE1cea9nrFJZfh64PhcNyKmPegL6GeZs9IurWeVyClpvcRumz/H4WvaM6XirUF+ZP5Auhym/fu573/v8NXLu0RVYLKBfgaC/Fg8p6uLK9KUvH/VMXRwAe8Zhk2n6YtTFccZ4zrkNfdTzdfEExLvYuBK3icCnPuqmSr2qPNMzFqyL+Kh3ubflRpMKbNL1bSVuy/qo96qLy7q3ACq1LQrXzH7xhI1n6uK6Z1yK27SHpO4ZX8hHHdvMQmTiqi7eBcIL+KindXF5syFYuWK32Xnk6mZEAblYV/SB5+vikq1n5oHnRpNKEMdFt5r1qosrhbpez0ifd/moyyDLNLu6IUjPPTV+wZq1KW5L1scHubp4Yjwjjr9AvzgeS+nwknMSdXE96EVdAP0wZX2xLFYXX0yRbreXEbgI8XMK5NDPj1ef2r2bsCv5+24B/UpGf2UfWwxDEYsB5Ga/OL6k3dt0XRyf0/3imE7Hfx+DTTAuVOpLi9v0MBT0UU/q4tq9TQB52i8Og4PAAsnAccF+cdNHHT3U5RswLFixxi2y6dL0BWviuOTr4vhcOl88O9VMp9MT5zb1OXf1i2cU6tKCFZdsOh2f6dUvnjJv4coms+TC+IVhDR2L6MKCtTulrhXq6TCUhcVtSSuZ6hfXPup4ViKlbYC+fE75qBfEYFHxfkylu25DE+lxsW0+nb6Ij7oYgCLb0uR+5dhPAcxK3CbK0SpjIdu/JIvP1Kl1RiO3rmbJ6XY96uKGj7qYbyLYtQtuZqqZ2k7fMOTsV7Xhi3gPvYahnO/vgq2HX/R6+FIfhetAXKDuo4/8l8rxpda9HK9bQL8cUX5NHSNbF8e3hiCOf3VKPTPVLCdwi5GJLzQMBZn4aYC4nvaEy9Bl3dvwGSFuU7OJEMTxOWn8MijGksrtBpRKfUAMQ5mfB1iKieNWstUMdU9tgniOkN7t3pY1fRGwGxPhpZ5MNVvIvU2cm1Kha4EbGrIoM5jzdW9brC6u2bjpoy5BUdbFs+xcG7ZIcRsuOGxF1sdNH3V8xVCpY6o8Aljc+EUPbckK3DDBIzA51vPFTcbav3sbgnfaama6t6m+bnETYACpVqlroBbp8R6GNYbALRG3iR2h2lxOOtM1/C6BGzJwQQR7+KgvB4StQv2yKdR7/mTn4u8CmS3T9kPf/a+jaEVxVSwW0K+Kj+EqPgllv5o3fdknvPZ3wuSE/NFcCMSTfvEulboUuJl1cQHUaiAKmr6IfwsmjkuqUu9l+iKYONLvAQniiY96pl9cmb6ocEuVunRuw6ek4YsSsOXGkgqjdAHyht0qas5VTzi2nuFkUtkvbliwlkpdE8206Yt2b1tsGEq+N1ybviAbx7YxXRfvxcQF3GpVt1KoCwBWpi/Zung60QzX0T7qibAMgV21oWX6xY10urZgTW4U8IFmwwkbT33UuyeapSCumWtGoZ5j4yhmE6I2xcB7WbAmaXQ0fVFgnjF9MYeamG14Xfarss4tW82kX71/YAkAAAICSURBVHq+Li7et8HGxb+1kK6fVjML7v0z7F7qcuZyWc7QuZZX3SaJq9KI6jn9klg3XQ+3Irx7e8D1xB7x6koXL+av1DcOHNi/W/gWXTWLBfSr5qO46k7kVVEbl8NqjYEo+iwPblWs3HBxw9e2iJnj2+GAWnH7doADBwCuWzdBGmeLpLZqs/iCNM4eTa69tmLtODgF/4dJ+GD2JEHndXPRvebmc1F7khSufxOPGqfJ2szaYxAm/uzyhUjdJCwW6VgNYUnWWSVvKrzWEI8D0+1LrkHDWeKODfK8KU2vY9QCkrhLSGlebhnELIPMLridDZyGmHFQi6waJAvetLjFOpbYCYg7GVxyKy3wRlEA6BZqPBECqvXkc6qvugDqdWmg07XUlUXeAse4HE+7Bbw69Ylc+Am5Hc5piRC3yHkS0kXeiFgPhIFgsujP1fMHxWvnklfUI/XHLQ5x0CkmtY7nDyvwmU628sojHKbwn+L/kqVQWs0BskLqYmVUbH8K01yn5aqF8lhuxPRJ8XyxOm48L7PF/uAG+RzaLcr/g3J9U277o+J5/T3GxwcPTsh1h7ca68pfgPq67bnt94vnR7fu4NiyKhf5YNu2nca6YiwX7Nq1Szxnrb91rBb/awG9vzjZtWwEbARsBGwEbASu6ghYQL+qPx57cjYCNgI2AjYCNgL9ReD/A632QtaUkseeAAAAAElFTkSuQmCC"},37618:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},14760:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},87620:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},31537:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},46058:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},71190:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},51889:function(Dt){"use strict";Dt.exports="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJwAAACKCAYAAABfNyPLAAAAAXNSR0IArs4c6QAAIABJREFUeF7svQm4XudVHvqu9X17//MZdY7kY8mSbVm2pdiJrQw1CeFAioMhQFxQgNBAbksplNJ7ezvQdABxHzrc3qaUBtpL2nIDoU1bkYbGEIMDRBAc1yTKYCLFw4kty0dH0pmnf9h7f99aV2uf88vH8xDZcob/ec7j3zr/2Xv/3/fuNbzrXWsTvvF6thWgzV/qN5bp4qxAf0EvztG+No5ia9L/2fqNBMALBZ4dhzcPshW8dpz+z9fGqj3Pb/H1CLj+d7b/9gHU/6+Bgw8CtGJA2fv4Kk5NwQDX/3ku4PWBRvsBzveCQthTntefPKmDgBx7HHB2rKcD4/Pcwq+uj309Ae4CCAxQxwAcBLC58Qak8vd794I7nQmX57kTkXJ9nHOSJInU6zNxagoRKH+eCXTlcfYDbnXnTpdlmYsx8oAIM5GuOidpmkZmVu+9GgAvAHsK2ALGvkV9LnB/VSHu6wFwJQAOAmxWq7dzJ/eBZJtenZ4W23CzQCEE6vV6vprnSVappBURZ7uZOxeqWZZn1Wreap0LzwK6Pqh5YmIi6Xa7SaUoUl+ppKJqgJOMOaa9XpE4F1eZDVSw67Brsv8aGOszM3ETeM/Xon7VgO5rHXBPsDYGpnpR+LAJJANAx/tgG207ZpbIAMJJUgNznUXSAlDvXAaRDoXQKWq1bPTcueLEhpWzn60vO5/bs2eP55WVypr3NcrzBjHXnapnoijOZRpCLyRJRkQGNK5tulQDY9LthqxSyZvNZjF68mQ89rg1/ZqwdF/rgDPL5s7t3Ok7nU6SJEnV5Xk1iCSlqyQKhfd5mmWFga+o1bz9PgID5Nw2BQYQo5m5ZWVe8EQrbZH1gYGB/OTJk+FpXKszV7qwfXviOp1aZB4g70chso2YayKSO2ApAiuJ9708z9UniY8xblwPc9AYuxpCJ1SrvaGh+fx5uPCvGutmF/q1DLiNmAzwK2NjCTPX0es1PdGAEjXsu6tzXQbWVKRbOFeYC7XfaYxjgfkqErleiTIGToDoJMU460TWMDDQ3T49HY4BBrqtlsfZ+Za3bUsBNL3IsAC7CLhOia5VkUcT5gcicMbH2CuvgahRELWcqoNzHRfCogDLdh5pNnszMzPFJrBL9/vV/vpqA9zW6+1nmc8WvLudO3cmfn29kjO3SGQkEk2AebvaBhPNEzDjmZclxp6KsDI3lOgyAfaryI8S0SID/5VVHxJgyYdwRlut7mUzM8Wmu9sKhBJwiyMjlTpRqxAZAbBHmd8kot/vme5S1aOsOqPMPXPZgXmcVPcoMETAo8T8CAMzgXlZVdtjc3P5M7jvr0rsfTUB7rmyzCfzWvZ5b8E7ra3VAvOgd257JLpGgLeS6qCq/i479yVSPYcYO6XJd66mImPKfCVUbxCgS8Bxs3AJ8wKybNHivsXFxe6mdTMrZ3lHZQqIRoPMbttWIaKGi3FEiSZU5BpivgJ2HqJHnMiCqm7wc0S7FLg1gN7AhA+x6qdB9GhgXhSR9sjIYjY1VVrSJ8eLfcBtpXm20iv2+1cc1/fVAriSH7PN7OzZw5ZN9rM6oxbqJ0/Kicc5sr7FeQrgnHM7hGivqn6nmEVR/Z8MnHKqpy1GK+O4ECpgblgMB5FRVU0ZeAzM8wXR8kCMnfUkqe6anV08tnHOPhAsDpN+DEftdl2da5L320R1CERNFjH3vEKqbbVwxuI6YEKAVxGwC0SfV9X7PdFjxaaFG5+fz57Fwl24CQ26+7eESDVAN6/PQPeKccdfDYArM7+9gOtMTLhqt5vkMTpVJcvyUudiO03DFrqiz1+VlMaTXOpoJLpciXYYgBVY9GZ1nJtzwJpliXbcNMYrVaQnznnLLoVoOYaQa5q2WyF0jUubn583i2ibaTdDaeU2X37btm21ZgiunSTVVHUgWpJC9DqK8WFyblZUnXcuRwi1qDpEzo2IagrVdXLunBTFosVwsV7vbmbEdvwng+YJN2G32y35vq28oVE+ZnW3ENaX3A1/NQDuQuaXdLuVXppWfAgVc0lEJIn3uWRZller2eDcXLG5wLBNn5+fb+8HvGWNAMzFDZdxHHMVIQh5v07AulEeKIquZ45GzhbejxsQEqJpA6BxaPZ7USWtVG6sxXjs5PLyaulK9yLZrELEPXv2pCdPnizGx8e3ee/XjDy25KFqf89ct+OEoghpmnIGrHGe18j7MfsuzFxIjDkRRcuGC++LVuvcyjNkqRfonuWJCW98Xy2EpKhW/SavJ5Ver3gevOHLDsBXOuBKt7hz507Pa2tV8b4uQMt+LOAW5sKsgmWaHELbsjoL5qe3b0/PnTvX3ozhUpfnQwbKqMq+VhsMIsOOaMWslqRpt57nWTtJglUTfLtdCc41c+Zli8NCCN00TSu2gTw83M0XFppDa2ur5tptt1ZXV9N6CN7OzUVx+fa5uZN2frNM9vu5sbGRWp5nBmQDbA8YqQKLWbWaULutxvn1rbXdQJtxZNUXxXz/b04uLy9vMgoXSnBG95yZmEjseqNzFgLUooi3Y3nnCqNX7CYJ9XrvWXjDbwBuywpcuIvnxsZSozUSkUEJYVyILgPQUtUuqZ5h585F7xdjjN3NmKfvgvyeoaGmgcn+PsbofK8XOE2rsI0RWcu9v8YRLQ/Oz580a2HnN6bfKhJ5ng9sm51dWh4Zea0AK2cXF7/Up0H2DA0N1peXOwa8kydPGsXh9gwNtTbBge3bt49zUdxUMN9XL4peCdY8t2M6K5X5ohjO2IofgLnfTppW7L2IdIz0NUt5+bZtV5vbPb28/IU9e/ZUT548mW+6RzZrurKyUnHO1VPVQaiOBKDlAAqq645o0Sylj7GNoaHeM/CG3wDcVnVFvx6Ztttp4Vwjj3GEgCuU+SZV/WYi+pwC9zqiUyRSdcwne0SrdpdbRcE2uQ8GsxDj4+OjZs2i9/Wi1yuq27athXZ7Z+h2V86ur89fNTw8IIOD2ebGllne9u3b62b5noF3s5vCfvq12P57A1zD5flo4f1iLc+TUysrqxMTE5VNOqW0ZHv27CkJX3tZImQJULvd9o1GI+Srq2P1kcXZqSkYyC5QPyMjIwO1okjMchloxaomlpjEuE+N82P2EHnEE50MMZ7zIitbaJwn84Zf14Arg+B+tpUDZFbGit+VLEvFuWYEBg1wQvQGUf0uR/SnTPTHRiOQyGiM8SFzkZuB/9X274VzS3Nzc73t27ebNdChmZkwPzi4yzcaZ7ZwaU+hEAwwtVotbgK29HRmxZ6UIGzdsNI6bv6+zxH2f298YDo9PW1USv84ccfQ0G6tVObOnTtXksATExNpjJGKonAN5qbdFGfX1+f662IZ8UEgMVeapql0l5YuU4A982WyQfe8QwQj5OiDjui4A04H55bN8m9aza3JxyWhTF4pMZwBzfWVGkVRcBmsi1Ca5xVtNMhKTkLUgupuYh4VVbN2q0r0GKnOROfMpXaMt8IUYGAtXVSvdwVl2fzptbXFvUA6BRSXt1rDp9fWlp5GnrQVQGWW+yz815Otg33++VAQF7iysbGx5tzcXD/bxUSrNWqZ6SYALbu0Yxq3l5rEaWFhuNp0rlEZml/o9XZyWF5u+lptKA/hLeW5ifaBqE6qn2aRKfb+rCUnzRC6FlaY5TQKaZMy6V/rywq8VwLgLtQ7rbhu1sxqmga4/o4a/UFZVifn6grcQsxTZhE4xoKB1aC6atmq5nmvl6bF7vn53sKePW6LdXrZXceTTmjWr6/8eLprebJFLC3qxMREbWZmpk8w47Khod3wfrQAHrLQzzjBjKgViczSDbKR2SY+AVYgMhdVV2KSdCtZljtmWXcuJkliP1KtTstmBvxs13XR1+1SA650L6ausGzPe18zS0beVy024Q2aIkqMluWJ0QoxGmtAV6jVREVOeObClBcmH7KYrc9HpVlWmVlbm7/oK/YiDmhu8GnKYFuPtLVCYJbZCOR00xKV2W7/Zcey9w8PD9eHAWQhePW+YYIDds5quOxizOF9V0LInHMlR2g3cI9InHPRMu5umhZm8TaTiZcNdJcacCXH1s9CrbjOSTJkzDyJVOBcj4CVWBQrCVHTitoGQkv/nfdpydjnec84OJMYbab/tkF9WfczlYNeBGxe3j+5YnBw+NTKytpmTFi6VrsCc8Ob9VUxUttUMNWiSPNKJUmNFhExftIomP4awCdJEjYVKUaZWN3YKBNz361z58LUBnH9sqzVpQaccWyJcWzBiuuqw1ZcF8DitG0qMmtlJQUe80QGNgkhGGFmtcjy2qvVajD3YO+fo+b48iLm4p7NXLIBYqvrLWkj8w5m1S3RMFVxYVUYgAyARpCzcya3srrxgALO2026IUhY9TGuS6vVe4YM/OJ+g82jXUrAWe0v2cKxDZSyINU9AL4pKt1KjDsdcDcxf5linOcY1w1oyehou98bYN9ji0z8ZQ2AX5IdefaDPgVwm1l9WWPu83y+16uWbtS5FieJSaQuh8iVIGqwyCkCTlpCYXSQNhqdLZ7hJRd5XkrAWeyWmDLWOLZCZBjM46Jq+rH9ELmOiO4DcB8xP0wic1XVVePJsLxcPbm8bO5maxPMS75YlwBgz3VKc5v9eq6JG8jI67L6IMJIkn2RuaIxTpwXBrw9KvYx9D+bSKAvEACwvumin65e+1znf8G/v1SAK5MF451MOhSda5ky1ri0oGrSoBHaUGmYGHHaqgkJ81JHdW1kcTHb1PtfchLzBa/2S/8HNDY21khi/KbCufuSEKz8t11ErgXzDVDdDtV72bn7+xydVTa+HgBX8m7bt29PVbVpJSuNsSxZiaolXxtBMvMsqZ51zEusul54v7zz3Ln8OTK+l35bX7lnKMOU+fHxYWvUoTSt9j2HiRZEtULAkilSNIRFF+OaVSFeTlXxpbJwZv69CRVrQGuzZLVLmfdC9WrLTEH0sKiecczztjgWv6HV6szMzFip59na9F65cHh5rqwMVcLiYr3s0YhxOMaYsnOJqnov0itE1rVSaZsw4Vn6M16Sq70UgLtQlO8DTmPcVji3R1XfKKI/wNA/IeZPE9EXITJr7tSaV8ydWqXglSQofEl25Ss7aEmkW0uk9XK4brfm0rRimatxmEmaOksWsiTJG41Gvpmh9jVzX9mZn8dfXwrA2WWVFs4y1L4UO6paLeqNAhwA8OcEPGCyboQw65hjj2j5ysXF7tM0rjyPr/l195GyLr13L1w+N1g3WZepRnohJAY0733sl7k21cQvZozFi1rUSwa4vp5ra9KgMe6w1N06pUikMFm3iSCpKLqbyo++dft6zEhfyAaXKhYTh1rNdWB6Oq4PDjYy5jcWRH+yY3Gxt0WC/rKBzb7ApQLcU0palGUNU8WW/QRWiRHpQqRtPJKJJafn5h7ZdKXfANvzg55ZuBJw09PThfWDnBkerl21tNTZ7HXoS9Zf1vW8VIAr3erWJuV+eYaLom6AM82/FkWPKhVrtcPp+XkrWL+si/P89vWV/ymTWm1m90+oy16KK7+UgLPv62zmhyk7rHhvoDMZtjg3oGl6Lu31KrW1tfXNWt/LavovxWa8BOcsKxN796KyqQzZ2uzzEpzuuQ95qQFXWrqtNcFGnvtVk01nWeEqlbQ1Pz9/AqXqtR8CfMPKPfe+9tfV4ji/frY5UE+S/OGlpfWXq0j/TJf4SgBcH0jltVw1PNwywDnnVmtZlhTMzdOLi6e3KEDsY/2a6TfA98SdLSmnLaAqex82S4Grmx1m2fPD60vzqVcK4PiKwcFBy0Rlaalm3Up5jN7a9rppWhkcnFtKp6CmerX/vlKbfF+aLXrOo5YZ6RYPUL41Sfumcro5Ozt7zj5zEPDHNnjMS/Z6pQDuwgJcvm3bvhjj1VDteOemrLPJtG5PbvK1VP9puu0v2UJeohOXPSAWB3cB6rcuttvtIVP5Tq+umowe4+Pj474oKjNLS6cu0XVeOO0rDnCWSPTvTvR641qpdGyxbMRW4lxmDcI2Q826lp5jOOClXNu+1dm6vlulU19JKGB1Zjtu2Slmw3NsIoFZs/6kzZxoALXavDUMmTc4Mzx8mcm6ziwvP3opF6UfO13qa9h6/ieUvayXlIpi3G3o9usuxgXyvl1KpzfHWdmivsjpQhfYeBuxav0U1n5n9cc0RpvZ5qPa+LbE2agGr+psRIN6XzbXcAhFZA7WvGybadOYrF4pIqmNh7BueisnGcVj3fSRyMasFuUIiRh7lSTpmlp5y4DD5yUPMun5Zi+sNQMN2fBC6wOxJm/L7u2mLNW81uVfrVo3WPman583Odclf73SLNwFQtgCXRu5EGKsOFOsOrdbI5YZcRnMC45odT3GttUDN91rv6B/oTvd5Ot9fZgmic3xGDBVsTJviyLjRDRKwHA5eBCwbqey5tjfFSWKtBHz2DHLm4GAsh1QgbzstyhHqWqNgFZUajKhISCbE9K3cgUB1gjTEcBGS6yaYkNVbXjOYiRaKKcp2bQk55ac66zGWHZuWXC/VaSwNVbjvXv3unxurm5d9wZuIWoSs/WCpJUkmc0ps7ddK9BvlgRftnrps6H6lQa4C2RwCKHJRTEK52yC5G4b41FWIIApdvqwp+Rczryedjphs7Neve9UfagPRApjpLgMgp3KvMveq+qIAk1iECkKBa0pyTIpzUN1wcpoUFlSwjIR1hnaVvE9s6aJc6HnXDkIur+YzOulZUuLmlfmWhAZUJZRDdhODpeRYgeDtgthG1S3OcZwiGgRoX5BfgVkatOUoHMKzEBpGoppdpgR6DlSNy++WCYK7TyvZpVKJVqztDVNVzudJGNuKlHdbiS2nl2iClOMAb7NqnMeWENR9OoTy50TJy4MtflK3PlXbCFfcYDbv3+/X15e9szZsMt43BYUpK8thN7FTOtMcsRBv8jqFnORLjPvEdXtbJ8rm534GpDadKQqQGZZzhH0URC+jIhH4XGGIQshx5prhk4Izewia/r92NhYdYC5nqu22MmgshtGlBEFjTEwGpW2EXQbMcYh2KaEEbaeW6h1ZOWqsGB/BiqPgvhhUXmM4c4yMC9UrHquroPyaiz4BgYeCkT7RaTKzPvs5iHWx1j5Ue+L09LRNVNJ7zl5Mhx9Bci6XmmAo6uuGjb3Bms+r8Dm4vJ1qnJ9VLq8bIEjTCnRKqmMidJNxNgBxXZVKJMuAvSYaekU+LICp0j5jBdZ6Hm/Pj09bW7q5Z6VRpOAe3BiwuajVIFuLVVqREmanmVISYc10ogAY1BcxoxdasoZoh1KGIBCQFhW4DQIj7LglIKmCboQgZoDTgXgtQyqBdF3EOiEJ/mIOnqIIp+NSbIqIr2909PFNwD3VANdbs7JPXu896upy7hZaHILFGNCUlHBAXZ8JUS3A6gw6xy0BNeUQk8zeJGgS8q0ppHXPJG5lh7neYaxsXz8xAl5mkXfGhtdCN9eYN22LCE9D3+zlS+z70pTO3cmadq2Dr9atUgHCl9sI+XLVbFbIu0ilisAvpKgE6JoEpkFpFlAT6nJ74FTzJRDpBpA+wi6SMR/yowvIdBsTFNLFnrfsHDPvDt88OBBFxcWGh0qdmuUN4DoWwFcr4rU7nQHfEaU5kD6kBKtAzLklRMh9QSMiMoslHvO80mJxTpr2murLlUqRWtoaGfJTa2srPDU1FQxOQleWztI3a5NVgVqtZq2jh3To4+PbXgykC5QHpOTmwnGUWDz80+ugJSf7Z+j7C/DQbRax8pjHj260Qu6f2yscWJubn0S8AbApg/bNdK26FyTobtj1KsBXAHC5QQbpqhjRPYMEYgqzgF6UgAb7zUPxVkQpgH6Emk4V3Bt0XvfnZqaetl6T7+akgabKFRtUtgnkFsF9FYCtotinkSPKuMLrPqYki6SS5qbdMS1UWiSSAMRgkRdA3PmSOagbOBciiTLPorL0nyauZoS5dlll813DWgGvMFOxxXRElIgcU4X0lRGR0fjVceOyZENF9zPUkvwTE/vNRqFRwqbNLHxWizHJ1Rl586pePToBbdtnyf7vJ2jO1SwX2BdbzS8iGSXhUArA5k7cWLOZtnRdVdP/AUWDi7yQ5nXvSxah+LyoDYVSS9TtVgPFRByAmoq2AnGHqcYUUVPGY+K4kFmmiLRh5nN8tMpH3g+HRtbP3bs2CWtMtg6vWJiOANa3ev1quF2Bk8qKBDipxR0txd5uJdgwfgHu2jnSDnnIZWwQ8mPxiA3C9F3qpa/utvgQURzRJghxTw7mSsEC2kznM6yyC5rNpxIRmlsZC5b8b6apFlwsaQymugQ9QY7ndAdGgoHTpyIBrpDAB/fv9/Vlpf9Sr3uK72eT6v2Nw1y1Na852NWrYZ6fS12Oi03ODhoYyeo1uvV8hDY2dNmnEvzpBeTHr0KjMUU6an1pGjc+MBj5+zYSVgdU1GC80kMuFIlbFPwtQF6o9E3AO8EZMkrfQJOZ1QtyeBdgA34oatJ6SpAKgBNK/BFKI4T0QNM8cHc8aMjbV26Z3rauLnn4/6fR4Twwj9yyQG3f//+tBK610fIO0T1zUywQv3HOMg93aRxttlsluSlWaKxXo/z1CKezHMvScjLCEPGFLRfld+8MaRN5hW0SxU7HcHGeX2aNC4Q8WMVH8/GVe0W2yJl2RBX0NuWMHpZIXVPriVMNijXwelyQpKtaDN3blGJKmkIjWIoRuqqVoOqIbSqBafilTVy8D6GIq/0apVYhBi58AZkVnT8sEmuHPmBaBMuWRoUSJ3KalHDgrZ9mnu/lKaptvK8asePVGxz4AFw3BMjvyqK/oAQiAU9cjgL0O97xXFJdIWiNkDcJJXdSrSPCAesr5cAS0hOi+AYKX2eiI5D5AGt0+nR0VNrR48+YS7xC0fOi/yLSwk4uun6K68QxB9UpdsY9KhAfgtFcu99X/6yDaHpZ5N8CKC5yUkqI6WTe/ziQNdVc1/tabrNU2wG1ctF/G6mOCKw0r/ui4JrmfBZx/ongHvAezpra5S7sJZmVQcf6hJ0mBFbgTEkSoMEzZzYU2fQjSSrDEM2ekKhGSVhlsK4LomKGgtqWpKtqCq0RULTgrhA8BkncV0KWSH2SYzCqZNGkHTQzhVBg055nlxYiiJnpcIdV/DgevBnmhSuD+IW2EudNQwQeFuheBVUD4JcE5BzRPook3sYGk+Sk3MObr2c6K5uQJzsjMLXMONaUT3gCK82NwzgEQHdDZXPAvTFSuIf8svZ/D0b8+pe1tclAdwb9u4dKNL4HVD8CKBryvShJOZ3/9n9pxefwdxfuM6+awOQNtBpFsothowyqCUqLSUeNgAoYK5lRkVHUkf3FIjtlJPVjJE1elnS9X5MIm7xxI8J9DIl7LC/YegqlJaI0AOjK5HE80ZZi8CXqeFNqaWKYYikoHJYdMuxnhLizEFPC6yX1q+Y4kDAo6CojmgoCK4goQn2+jlEmiGKp4lohp33IQprRVeS4FqhyCP5tC4xvB5EY6oUN1wlZwRaJMIsK875lJcyDuu1WsgqZ7wuD6Hqgh8VyfcQeK+CroHiRia1Byc2VPF5Af8xQz7rSL7IefrYvVNTppF72aiilxVwhw7BnXxw73Uk+hOiuo9VjxDhjnu/+MjsC4graHJy0tWmp93soFS5KzW4xCxCE6x1RGfPPqgQrJqInooLcFi5MG+OOEEIidpTkYiutwlMQXGFKl5LjCYpHgPQtgSECCyKASKrjZK3aR0lsIGqqgEarAIhRiAjbO3xXcAjzHRWxJ5USV2FtiFQ0TKrtI60HUx0F4DjzutjRHgsRo4QKVodmc1rtD2LSRsuS3xCu4PwqIWkTimwTSxjdBGx6gXLQSvrvXSplyQ782PHjpWTCCYnJ/3a2qmG9mjMOd1NgmsUuA7A65hws6gNccQfkuBPnZNjklendt9w//KRI19j05MOHpyo+6JxG0F+QojuF9VfbY7suv/o0aMvRvbMk5OTjJMnfXe7T9MclTyiwlGrwVPFKSpEXA41VKuds9qs5QSCgQi5XIXHQWqDqa8FMArFcFSMWZ2UqSRahYhA0HKsJJUVNXuuQ0m32WHZtt6G/1m5LSqIyYhnFFattw8xUaH2K6WeQrsqKKJSnUlZlT/nKN7vmR5Q6Do7nmHQchFkgSG5hkrwaeGUXOJEK0FRCSyuYmO4gmbwrhsz7tWZs1kgP3HiRH/sxYVkwICH5ZPNLngMyleS6nWq9Goi/Ra2+Xqq/0tBv0eQe0OQ443xPfMvci9ekEt+WSzcLQcOjJDP/pqCvkuJfoOK5H/cc/y4uc+v5FWCLsumkjxP07pwKiy1qK5B0Uazwlxsk0DDxl8BdKVCrgTochBGraapAtYNXG2gxICy+daAY2gyMEHhiRHNmoFAKvBxUxqvauAsVSHizKwSLNW1f4OKoR2kG0hlg60amBVBCSsMPaNKJx3jS1ZLteHYEKyBZDEh34YVcmmjfmsZeuIzgaQBMQ/I66GW50Xzpqlw5MgF6uYp63nw4MEk7fVaPs12BOFrwXIDCb2ZGW8SxUkQfhuKT6rS53Pfmn2pqZOXHHDffPD6y6Dh74vSvvMyo/c2VuPdd05NXQyZc0kQA2eSITdQK3o6oEkcVqERoBxBujcKHWCn+8pCfvkEQcOCPQuhtFhmu8xJOQORmIhINJJDIWJKEPRUKTPxsSq6ChpQVSs/BWKaLx9MopQqKW8Ywg1QsQGMyEO1CiLHUAOofcoAXBrN8kx2LQreJKa6UJpV1QeZSjrjflU5A+Kl1GFNOLYTlrzD9UIkCyEMhm63Gw4cOBGfDWxb0Xfb3r2V7nA6rCG/MoBerUTflDC+SxW5gP47Ef6IKHyWG7vOvJSW7iUF3Lfdsu/yGPhnCfYcAf6Fyc986cThryxALa/30CHw+uf2+sJiOKaBHDwq4sYVejUpXgvGzVYaIoY9+9Z8YNy0Qjasb8PSbHjLRVWdI8WSWjAOLIOwRJAVKK0qqAOosbu5CG4sBDazbt07S5cywjPHAAAgAElEQVTtGFRVAjvrooXmBM5h52JlLZ+7q4NB6VsIekXpagkrjlFTRa180pbpVqBmDa1iwGWoppqT4qwCX1DgM8z0kFM9Z3KmCLfS9EW7Wwv52NjJYhNsW3H1rPzaYYA//sZrG0lPLyemGyP4mxzJ96mapAofcoq7fAWfHpp44NxLFdO9ZIC77Zv3jvWy5Odt+LE6/r+O3nPcBkG/2Fd5nYcBOr5/v58ZjpWK6IDGZBsQd0Sl60TxZu9wEKrjZdhVjhEtLZor+6qVOijLQJgLESNQ7XnHHwPLI2zjb5W70cWeF+pBqScbbH4RHYsNzg0hOsc0HFkcW/xGVognGxBDrGquNGcy0LlCRCQSOwdKJOq+QPIqA68Bh5gGSdVUMCZG2KmWRDBaxmerueKyXGXhYAnANVE9AdAnmfkLTuNpaDwHciv12OjOAMV3HzsWDz+RyH1OUve22/ZW4nx1vOB4gyre7Eh/kICBqPhNVfcxR/HTf/hn9z8TY/Bi97D8u5cEcLfeemND28XPiNJ1HPUfffzeL1kT84t9XbBqmN6ZLsZmPUl0WwE/AdF9IeLbvMObLC6DwiyZiJbZor1WouARJtyvhIdYacYBi5FQMLgbNawljjIIZQVJAY2hGnwMiRfnOhqj9WQbZAvnotVxnY+INVFKiNkVhfnQKKQuOKY8kBaVyJmkRQy5E/aF86HCSrkP8LWooZ6wr0TRikBqxDwoItuJ6CpVXO8Y16jCZEumKpbNglqqgp4ovsCkv0fkPs8k06A4WwPWKksuO3A+aXgS6J5trUtAWlLhuvOj7PBqgb6FoT9MBBcEH/DgO9DiL9x1131Wcruor4sOODPb97zphh88Lw96l5f4no996sTnn+cVP+O1HDp0iDE9nS7K2kDFyWUF85Ua6c1KcjsR7TbC1oyQEjmoxVz6KNR91rF8QUCPOvCcGLg46RCkzIpzDs4X1BT2TVBslBbLgGDHEKtXyhCDVlW0aqSwsrIjtudHlK7PxjYbeVWOoFTkIF0GO2hESh5nSZTJ0bpELdisn+qywHUT1k6msbyGCjlfCNUZ2hLWUauOqOgBJdwM0D4mtadX23eyj1umbbHjUVK6k4H7PcXTGoul5lraezrQmUfY9AxPZ/X00KFDbuX0A6OO9GCAfKcDvctUNxH4D+Tkd4e2v+rhI0eOXNRh0xcdcN/zxhuvDazvZaZffe0f3/e7zxGzXTh/f3GOHzpU/tuBI0c2FBWTkzyWZUm7sjJIwV0eoPsj6C8x9C0EqpYDu8uKFnWFcD8pfdJBP29lHY2uY4JwhtgD1EZANGgAIqW6WBhP3Cxn1Ivxa1gCU09FTRJeWMFq4yF/yAgIlmmQubqN+MyCfZWSGymJDiZBSlxWIciROBtFrASvQkP2lE1VwycHA5+Sdki1p2SVMp1LLJZk5AjRRfItIt0RFdcR8BdAOMgEewhKsWny7NhfIuh/hcqfeeJHpejOG+jmxsdlbGzsArjm5uYurG//3/vr2reIdjNnM1PbA8dbFPL9nuj7gtLvK8n/p4Ue/f17vmI24Qn25qICzsx0TRf+iY1t72D1Xxw9Wj707OleG3fe4Y078OjRSd63tkaPja/wrtlBWbpqQypkr16v5qmTtaLQzhjpNVB6N7O+1vT+/ZRThB4Q1U944geI1dxPnUSGrNuALAstwyFDFfVEaJGc9IwzU9no6Bd7X9Y7XdfcrROzTyFXddb74lzQonTDTFoQaVI+GM4ea5kQKLjgkIoFd1YScLDqg/Mh+uioRpE3mm5MGJCIE3GparSie0tFhuDIGX1inJ0ZMc+yLkoLXqUXiW1W75VEPAnS13MpT6fClMGmoIHigwD+0KX6SJ3ShbmwkI2N2QMXgfV1C0EffzWbpuwChh+u6dJVV8mBA0f08OGNhnLbt0ZYuAIJ/0UV+THPvC8q/l+i8KF1HTt+MbPWiwq47/2LN9wg4t6TUPzH/+MP//zh5wLb8eOHaPjhh9mA5v2gq651OcZaK9O8V9Qpd67mkrxdQ+EmlOnVovqTxHg1ERlVYRu5HgXHVHTKO+KgyB10DYoOmDKTJhHrqirlBA1mhwhilmWdlDNxscuQIIUbAFO9mts8uuo6dq7EubkNa7F1Yza/D93+ltePCPIfMBecavqhA5OfnrXvYhZlbGyWbbNjrPt6zkmE85RIyoWmDq5qQlJSquWkDWZlRHakIRGmmhHQUNQVVI3QKoGtKaejor2SSyR8M5FeuZHVlpWP9aj8a4mT3+dIjyTeLfVqG43OIaxEW9Ot76vzqa4PzYnd1A+2WueBdlT6oHv35GR1ESuvEtJDjvSvi+KLRPRLLPj4bx/9vD0+86K8Lirgbv/2m37GuKvf/oPP/tKzlKouWDezbLZBmB50thCVXutt7QJ/04EeqDfo5x1LkJ6MB+brY8RPOI83lQ0wBB8FvRjxJcfmXlDq/Q1cNhtHSbuqMSdHmS90RYnX1cdu3dV6SbeWt8fGin5s8n3f/pprVOmfA3iNKP55lq795p13PitPSG9/y2v+lmf6NxZaRdHDyeg1v/Bssc6hW26pSbX7reLpOk/xI1hrnEVlxXnUqp2Ua2mR1aV8IIpURZA4s2yqTVUMgNQe0zmiseQWhwh4lUtgjxbIoXD2sBSI/rJn+oRXOVUItVupFGvBvTkPpicU9Qn9rtT5U3ZDIxuMfdA92dLd/pbXj4Ljtyn0pxj6mij4Jc/6mx/++OeNYXjO7Pf5IPKiAe72W28cd5z8ihL9sw/f+ZnPPcvJLwDOrIKVFIFB1+vl1CjieDfnm5zjWefjgzH3Lef06iLKD5LDO0uyQ5GI0qwojrLKFDs+q6JnlXSl4qmdR15PnXYd54vNs+n6+zdrjM90Pbe/9ebv8MB/IyKjBT5UVKp//aMfvftCD+ehQ7fUjhy5Z6uqgr7/rTe/6XwZ7BdUzQrRe47c9dlPWH3Xbp4jR070B+9cOOWhW1/77SA9woTBCPx6TYqf+uCTMkBza2OYrXrXakgamhJ1CEI1tYqI6lBUDIF0PAhd5QgHncO+souNyIeo9xPwi+z0s9B4JlZbXW53f6hX0HdayS1J6CNS098ywPVaNTHrtxG6PNW1jlZX90PpR89XQf56VHz8PJf4i9sW+J73XyTx5kUD3Du+4+a3KvFPoNB3H/mDY+WDZ58P6PrxW95quXO1abWFODOBpKphWPL05kL0bc7p7cwYJjX/hxUFPu5MekT0kEmqExfPkaZLnVyTNJHvF+BWJfzHNpb/6DmsFd51642NHqdvUeBmEv71Rl4/Y9dx551T5XNKDx8GHz+6v35g8kTn8GHIoUP701Y2XOl0Oy3nU171YdE2cnitlpWx51KthuGr1s3i2d+ay/qB77r5uhjpn5t1EtL/u4PV33jDG6aK48f3e4tR77jjWMcAtzVWsvP4Xm0gdFE3clsdBkWwTVSvEC0t3FucxwFbEyORJeIOAn6jkvB93R6txEaS+yIMOtdTrBflflRTr71B43hXosVyfbdqv+u71kO33TQGdbcz9GeE0DlfTfln2uvcceToCVOVfMWviwa4H3rb696jUfdc94bP/KRtzLNwfE/pEbDkYeaOg85iubHqSDPvyg0BmIwquwh8g2N9Dchki/a0Y9zFrHd4uM+nFTzS9buX++7snW977etV9C4mGhTVYwH8tiMf+/TZd7/9NUMf+O0nxiG2wVcMdwZ/4yN/tmDvd6WLlQ/edV//UZJk13T8+C2V4V5OqyRDsbL3nJ3HqISt7tNA9eVP3Vh7LB/JxsayJF2X0f98573TtjPv/K4bhpucZhMHj/WOf+aWyxLNdqTtgeNbdy1trfH77zjWve22vWkf5EbMjujwm4T0x0B0V2i0jzTmxoM0s9Fc8p0RtE8jbhbWv5QQdliSXljcGvUTTLg7If14pSqnYkeKWiUp13upmmpjrqLtsVnpg21rRmufOXLkiBw6dEuV14tJIX2PZ1wLCzdYf/NDdxwzjeKGj/kKXhcFcLZhE831/6TAuQ/9zmf+fmkVNoPo/rX1A/Ctd5O9tw0cHn6Ye3NuIOR4bVB9kwkwmLgrMQ4q09s942qrAUXRU1D6tynpH0P9o3nzira55CNHTpTd8e+6/cbxUCR/mcG3nq+n/mpec79XXWlzqNaaH/rovVZlwE/ftrfyvjunMvtvO9me/trj7rO/mBfWxCgDu7b3v/9YcejQ/uaO9bxYR2ugibXVlepI08BqlshCgie53adsycaa7Pfmcjct3zNq0H7we1+3iyI+mpC+plBa9CLf+cGPHbu3f/3LfmQiSnxtUDrEhO8uhQIKKRS/R0oPMeAVetIn8ic11B5Zqxj3uBKHh2v64IMmFXz8tW/f2hMwUHlshedo8DXq+O+l0FsD6BeVwq/+149+bmaLEXnRoLsogPurh24ZKfLw3wPRF4pk/T32xezCR7s7IyaPysK9e8tHLp5tpnpgblyOb3JFtpnrp2tN1ewNQvomIisr6Yxj7qnCC+RKYfoxbyMZbLaH4E8c6/sSos8186XZ9905lf9vh27aRlm9Z8A5dGiy2Wi3m9QIcffc4NLho0fju269sd4bvLbXt0o//uMHk4mJ8+Wg85SAWbFTn31j49c+evf6u989WWm3M+oD54e+++C2UL1qqf93P3zbGwYau0I3f7DleKBIvPbi++841jHgLtUGR/Yutubsu5p1t3MsLXVp80awr15ukFnaPa/5/Kq9n5k56AzIfQu5Naaz9exl4fsY9CNK+B1f6K9/4GOfLhXL9nm75h5n18dA30ZEf8uxDlnWHiP9AUP/iJiWJUpVmXZ6opkg8gmpJ1/esT4nf257AsCAZte4Yz2nte07qd2etQHy0TLtXcPr18VA/6djOqTQX1HHv/yf/0dptbfi5UWB7qIA7q98zxsngi+OqOB+h/zvYGiol7bXKt3gb9DITRb8ebeGUo5kX9q+YJxZdK5ef12h+mb7d4KetHojqaw7oBPZsUi8HoR/TETbrbYYIt3NwL9Kq3LvnrnG/OHHtXSldbKN9kutyr87cvQJ8ca73nVj44MffNxdbnULFsNdnY9kxy1bxqAbHs6DWVtt9koO0a1x4pIadztOa/VIgp4LSJoIviz7pF5DL5VQWfNarSTaaSBQe6UVqrFTqyX5JvDKRKLvjrdYu6Ksomy+xjBXC8NrWXeuMlyJkXKnoRpiN3cxNaBuxJCH3HDv4UrXJ7slxjcp6O8SYZeJRVXwB0T0YevriIqEiBki48p0hQceUcFdbrR+pnWupmebj6qB7WxzjKvVNicr6c6CeA8UC6mTXg/+pzzknUHp31bE//tf++jdZ55kti8d4H7k0C2Xk8gHmKinAT/dyobPZM3Z7asd/3NRsb3i8Ut+pPbJouimtjHkst09dd+9MUCGHmWnyxBqg2Q58W4uTdxCV0yDo996fhbIz9uClgyl6JfPL+HPeuj/KjRZ/+BHPmXPg9fDk5N+oVZz77vzzlL2ZJty4DzLboDsWwSzYvZZ+5254TRtVWtrqAm8o4rUNcRGIBohUO4JI0oIRtYGompJ2m5qe60+UWpjnRUUSgldJGiMYKvziwgCKeVwKEw9Em2QjUjPK7q5arfp69kcZnOzfiXxfXSSN28c+unbbkszP+t8tcX/7shRA7S++92T1bjSu7Lndz3YT0S+/OUba67XuKoo5C2O8L+bPN7Eo0H0I47crxCLqV9qXqgqpIMarf/C2gx1BzGOpd79YQWVPPTWNkjiVq0SVvKfiUI3Euti1elvuoS+h9UsHP6pqH7wqlf/WdnPu5lcXLDaLzScuygW7sd+6A3bY4FftI4hVf7JJMvL+qk0fSuqpE3HK2vtGvtat5Ln+h0KfrVTPKIk80xujUiWHetsL+2d/uAH72ubpQqr1TEpwmsi6DCT3mQSRxV9mBTvTUnuVuWVFbc2W8ZEpm7ddGc/cfs3jS/45WVz3TOttbQSxmPWnK32kDY9iqbjdCBqbJJqnYmqRqCWkl4rWImaMDKoUGZAMtBAqSC4GCDRC0vkoE48EQuXTwIuJUb2mBdhBTu29pxo1kUTEBJSeAdxUtZhSZhisCZtJV0nlrWgWK1yZb2b+u4HPnDUbpi+5SgTl9L1T046A6WBD+32kI/sBbimULydmX6UWFsbT2TX487hbxcp7m2s2pNleYeSG7PvCsdDEmNNwHtUUU+ZPuw4f7id2iyebkx7jcss6SOihWjVOoo/o8qvV43/INZ6H7v66vtKauhSAe4JvtxiDiX9O8z01wR4Ty2Lvz3r19d2rO8m31zmkEqS5bw7U/3LBF13SjaeYFUcLJ5ZdHl+NlS55lVWJ649tmh3/dxwZ7Cb0I1R6MeZcbslYqafUNX/4jwfqSA82Kk25tKFNTZg77z23rkyfvrug3VUkbBLhgumcRe4oRxbIBtuU6pwTdnRiRrbrNyGvSfqVooiy+Bzzbiw+KwE6q5ZmXiwpRZzbqk4PO1N3S/T2bWbe240xjnGRTckNScdTbqVpOJVa8Kx4YJrwMemKNVgwFQWMDoaeYVQLBLHxbzSWn8yAP/K97yxmdSKqwzYIWCvMn4CjG+yJEEUHCOOOqafD9X2ZyyE6MeoVNPdTuKQALVIvM3GQqjyq8nRZ6Du9xN08gbSfHCuUti1D3LrZgj/S+HyBnxPMlB81uLeSwG4J9RALRO1jTh16o0NbsvtzPReQO5QuPdWlwem1rZ3qVV0047Qt8To3npe7PfnIOp40jnbbGY91a3SYtKW24nxDwW4zwX+J9sP3P3Q8snJgSIrLu8F+VY4/EPeGOxCQWmORH+FmT+ZSn4y9GQ1H21JQzqNPEtHnQ82BmGU1ISOZC0unUhxhb1blh6tJrWiXdNe79FeKCxINirgK031X6hbMbe+Y33dY2SxklHaQAyDjnnISp0qWi/dtug6lOcd8nO9eroskhR2c6Fa3SY+XBsif68n/OVSkwJNRUy+xO9NkX/KrWybtfDip3/4DQM+52LwwD3ZzNQ3b6cY9yiii8KXkYkXhPZFgk9AvxEaNGvnqLfhC5d9OxH+lQr9lhP9tzsO3POE+G2LlXvyV3/OuO6FuNTHwXY+7sDYLC+s76bRN9xZ4Ph+f9oP3uKY/hmp7hCln6NEP1Hrorvu6QcRda9j+hwUBTs6FwVrtWoy9W8+cHTZFiUH/wdPeIdqSTS+81f+y6c++pPvfNOQp6KRqb9GRH4MhO835S3IslecgNCvs8P9XmIH7Gzm2oC5r/PpfDsEXfI+LgRNliuat0fztR4OnNeMbfCDr8iXxZorx2+ptH3eSJLaiErcBtJRUlcjSA7oskbOApGB8o3KeDdRmZ1aW0aGiH9NpP+rkvBDOjRw7n3vK+PZ/v6Wce76rsVKO9SuVqaWStnqOAKC9X/c4B39emhkx7mXDiPy32TWt6vKz8R68QdLS1dlFhP3F67PMjyD1X9W0D1fwD0FbCsYdO3hPOVO7SaNseqdzgbmd3jgb0Wlj0DoQyLyF0RReKYpYW4nEheZ3DxGml/eXBDYQszuzPYQ4V1QPq5Z8jELmH/8xw/WWmutei8ttodcbxJL/x3sIbMFiFKIPhIFn/KeplVlxoEflnKSUDHPg6Pr73vfnWWl4EWi6wnlN1vsmX1rNLHUpZnhmpqbteMu3FBzo6N3Fhtu9Clu98Weu7xkW5flPWgKZCwU4Up7VptYwzf0ajB9i7NkQBGtb0KifjRh+k/Rx4cQubPjsXRxM6Ytcy0D3uFD+0tqyq7frdd2MWSn/X8A7zFAR+i3ENFHEm+tlXivgj6DSP9PbHYfs++9sGP3BaysrXVpT3tW+mth333TU/SX+xm/+wsCXJ8IzfOWG25nlDWTbb12+AdCaDUq+PfnNXCXnQfEP3JEO7sRD6jQPY7kfiY6x+C2c8Wjp9u7HnuaQncZIG/GCMZlsfFUjaXUYwC1GNyVecCksv5Nz9hZ6tVQFvBXYsTvJ0x3JQRruTtTq/VWOpXx3uhoNwIbvNizgI7sOx04MEc4Pst2E6XDeZrlLSKXsWa+otVcqJdyUYlpEoViocFRGuGLinrtSuGacNwMPZyqFrE32KjoQqtWLniWzbqJiVa+eR39zX+2e2BzHSb55En4Wh5qzvEQa3FZBO8Pqt/LjiYZSMUUwSbOjNbuh1+uAF+opJipX3F3e3Z2sl6Zy+LggUqxsFBzWF3ZqUI/JYT1CuRXp7s7z4415sYcimskkt2Y9mjydhb1rc7RqGO98rzU/WdjI/1j52qFfY/GUqq9xJVxsH1PV21x7K3JIFYiDozL8ePPD3QvCHAboJhk2xw0xnkmXeMRV6tkeaTUNWI7dK9BxDuZ6f8Q1cdE8XFTqDrnZ0Dx/l/+tZLL2bjjNjKwfgms3KDDhyf94cNH4+F3T1aOt0tFh/zUj7x+hDm5hsCvi6KvE8KkI91hQkZRWIoYRMkkSnclzH/uGGegbpFcturyVtbsTRfHH4/VNjV4k7xyPEsq21x1rZ1zCldVriTB28iE0CAls8pNk5BTQoVGajqNTmAyIWaTXjJ4h41KjTZYgrTOkjySAL3cd7XKrV7eazeV/J5KpfLFosgHnHLRrmPdNvDs2WZ40k23AXwcd+vVnYnWcquwDyDQthx6ebRiPXAbEa61Xi8H0+LBi+BLSnzUO/mMAW+0s/zYYcvaLZvdc9QqGvLTP31bRVfXfyF1+ndtjQvg777v1/70X9v7v/1XbxmOklxHGgpRvj4SrjwPvL93Xm38XxLGv8iqfra+lqoBK9TcG9s9tZ5ialb0PyZdOWqga7o8oj0rtsZPcrFPa+WeL+DKzL9vhUod2/mSj5na0rXs2E31rKgW2tueFfg5Bl6VJrihEHwaRL9ToXhHO0mnKpUsDg7ek/ULxf3idt/1bS352EIl6+1xdqbzj7tMSBsVIao1McvbwXSzt53fiGG8qK6q0GfIHu5LdH8KPSseSz7qOlfK0augdoU7KTz5WPNBKFKsgxyrzRNmUo1cMYUwSVkaslFZZiZbpajMOvGZUhGtuw2lLglxJEVVVDMGrZl2mKB1o0CILeh3GViXEWKFlTtKmjDzqjKvefhCQ1fqvhfXu6Pkm50001jXkAxAdSQKrFH7BgW+hUhf7RgVsRZF6+yCBilJXvxPR7TAdq3li6c4rz74rz5414VeBFvT1ek3vl6J/zGrtgn0T5s7P/lF2wMD+VXDS80sZq+y851XT/8sAdMhYIm8/rdmhT7ZXi3iaCOE+VDdX2R4h7V4p6l8eDTt3WfX3QecWbktltwu5kUB7gIgL6T9mw5hQ1p0Xgpu7mhmLV2JaTWS/6kQ0WSiZuKswxv7BfQ7iPiw2t1D2MuRfqV5BX368OENUvZJGU+pzuide9MgClwViK8um9gdHtNAM5IiIMO2oLA5vm8j6K3keMjiOlP/wggzsU4nfMmpfBrgLxHpWWLNWIyE1eiJKmI8kzWiOklza4EBmlw2J+uAgDMoNcrWUaLKBslr3fLWAcYJQZzC9com1ogxR7B2Qps9kjFpu2y4IuP2okF30dvHTIAuWCZPBYmkQajLXtfNWjpRm6mvCaOWIQ5q9DuF9EaGvo6Z9gFq/tlGSZT9rhr1tAK/zcAfpUQPF1qcM+8SEC5jDXsFLmqiX/zX/+5PrBRVbrplxVdvOzPQ63o93R5b64sQbO/Mo/ydH5+8FpB/KaqNqDgK4S+qyPe4Cr+fQv6Ajf3xnosQjFkBvF9mN/+4dbsYLvUp9IdZtK3Bx8TEZhH4JHyHiyS45PvU5pipfh6ghpDs9US3Mak13t5HwE0JISmUfqeV9n748PvuLWuKW19G+DZ9Y0cKXC9C29WmXCo/FBrdmenpnfmOHeved5YbVVcZjxQvLyJuVqbvIsJrGLCR97Yx5vetMz6oYlZsMJ/QwzYAxmbllhWDaCJOUqv9BCB6NiFj2cVg1aB62SBDVLH6ZNkkUw6otukN6J0XJQ6XtK9ZvHL6uXUJwjg1G3ojBngP7UTSGpd9puWAaGu3j2zVC1DHrKQN3xLRCJMeidZFacKx7lVgnyOM2c1jMX0po1c1Rbtp9D7Fgo8ljo+TCzMaqwtLWOq8//0bc0UO/43JZjvEfY55Nyieqnb98cMfOPoUmb+FLpsxV/zbf/WWEeeTvw/QTRD8Fhhf1CAHlLEUhd9WA/3TXsQ8DWfZ4JItMWAx6ujZR7VMGiZa+nzjtw1H8dTXFrBN8szMGlUq4zy61iXs2ZwpdhJ+Zdh6S4C03UgjFfuj4m+A9Q6nnArIJoXXlXSfA/0ok+4vlBZIsADGL8Yi//Av/qd7bCMumF2LO7Im9ijogIRYdUoP50oPtSaOLvYD/34yMRSqVTSSQZsRokF3QfV1kfVbWbHfOXNxZX+nCXKt48kG0gQFrbJiPgBzNgcYSus2SZI3WuAjkZk9OIgNOirbDJNgYxtUGwTuCXTQCSSS/v/tvQmUXWd1Jrr3/s9wxxpVGkryJBtjLGbbGBubCDCkncQ0hIgMxGbobiWkFwQSwAmQuFghmMFpXuA1SbTSSR48El4rAy8kIWZqNZMx4AAGGc+WLbk0lGq4dccz/P9+9f3nnnJJlizZiel097traamkusO553xnz/v7+uJbYMQ5URawRtbxPNYviGnEUz8QLC72YX3/GOWJ2DINDJbwnca+s4FaofAIW91ghNZrsZsKbpOVIWKyOG4CsFXbztJ3DcuXhOm7ou5hF8ic1qJ2o5EmsFDHuS9+584rN7rAPAssAZWYvj3zf+w54Yj423758vWGwl9XpvPI8Y0ayaJL882QohB2W3NHjYB0UxAG/ymrmgE+r4QLQFZ4uGLZ6QS1udN2qcNZsGGcljYNwFXrVyf6uXudJa1FRv9Mm5XZhuU462fVAbkZw/p1clI14r4vxJml/C6h+Ayl/CoN+OdY6dnq6HZl/mtS/bIJzT3R+MTizMzu9K1vvaxadXK7anIAACAASURBVLWnsMu34SSp8A/TKHrgppseiUXW3BdFgF2fCwfVvBoYGUtznbIq5wrT05X0BcTyVMM6RkKgYcBWl6d1EFID1gVVyslpYomwHN3DWLwSZayaFwtgCkUG78JADKLMIXoUAVEl9wvWfmevosQWu7DE2PD3nCF4H7xvLERtxy4VlZoCPWDvVGqQUIWJagKrKYT39QYQzbEhyQksJnqyc8T8PVb9aqDyA43sQWPpaJ5Hy9Xp8T7RtpWQZOakGfjb3vayepzmz2KrY1byb9340a+g77z6uP7NV53JLrtelcZY9Kb7Dm24fdu2vWZwaN02Eg6c5bPYaJLl+rLAyBcpyb5YO3M6wefu3bt3peC/TfF3+Yb4dwG8meOBdsy/T2jhZmZmGG/mE4MScEm4LknNf3BGq3Fk/jSm6ABF/Sjp6ytz8IYI/1DZHTQqaVTR78383p75t771skoli89SpStY6GcN8wtBguyE/o5z/TIF5o7IylEr+SbyGZj0ArY/oNGphwDEE1jftf+1En9sN3SEKlkso5S5Tbmn1nfT6ug8R/JUI+4pSrLeK8UAfH6RFImtX/obShOBYckHSNjjAzjRksemPkI9zR2AihDMgwzcXLCaWE6FBfXsSXiRt48MHjdPXuMXxryBRKCGRUJ8oPf3ok7Vie/SDbWRcDsoWZQtNCfEaHeyMPiM7zeGHgwDc2QwSBYr/aBfZu+nU2NEiLKhPn6B2nyzY/Od9/3+F/1M4Lve/OLLV7zNm3JyuSHC+PpdJo5+Pxy5/OH+7FebUWyfbXNZ1MBe5nIQLerPRSLvTqrB0dLKwfNNT289Bj+zs/evulgAcA34VkH3GC51BoyTQgQtizlptRLudtPcf8jsIKBmu5Yk0brMZu+NQv1LURpVkR+GGizQRHpngXYkBjsiWmpPZ5pewoIJBLoaMZFT9xVlvhUcvOhzGkeHHes3g3G9D687Bdj8r3FC6/UoGNV4A1lTswFNOozjYCrCSTMnXa9OtxDLZlBCkMhYwIifvLvDXipIIBCG+e0Az6RU0HN5lohVsq4SRaWqGthp8BrvGwtqJD8fNeTqKl+P/wTJBEDm7Zt/En7wD2edt6htVZpnpw8Ty0Mk7kBAPMfEh5T5UGjyQyS0RM2p5ZmZ3aUM0+mcHv8cJAznndl6SpjbM8TQg7mjlzp1mKP7S3Wgx5BfxvPU2l8yE/pxoimXz8+foUKbraOKIZrMHT/FkJ23jeD/ri5Ws/k4t0gcRkdjxG+ZTxyJAmAEiUWSHHFXLW51d5wAdCcsi5R6U+8ZWjq84abZNh9cRfQgiAcu7vR71yrJFlZ3r2F5QNjYfuxuq1avaMNC/tfdu30sBdDlndZmshaTuy9a0RG4KiACg89c7uxDzPIgq/uqUfl6VHX7G52o86aPfhaLlSerWHur9Ju/8ZNjzf4gygyNWmvGDbtqTjqG2EiVx0ndCDFaOACev5ObSjoJCi9hagDoK2WCkBhxW0FIUlgi2LQhPoa0SACR5+oqnuNpjwoMea9dAMCbyiGoPL9cQRTif0IiAvdLnFqnfaPaypkXjLqjLLxADP0wOspM86zUIuIlVXuUxPRMni8SVZf3Hmp0n8gm/Afe8fJmJxtgq/5VAsoLDj5CzUvvtMu3PIPJXk+qR1ygHw3qDvzKObyGjePnGJe3cqLLHOtDK6uYv2hi/u0gc/OdIMqmbdstc+2MZKAvt+pMFAd/G/SqD9I00cR8bn8wBN2rd+/2IQ0eXujuRLfKWoEzgA7PuXDor+8AmuHGKtE4OfshQ+YzytoMA9nrVBcnEnPPQuDOIHHbic29pOEPqoaTvhtUK8Yl3Tw4n8hdoqQvCUW2M/FYTnpAVb+ppLczyV1G3P1BFh/Mk06L1tPgeIs3MzMjE/O3hgsVHl/pIY5Y0npo8pFceUSJm+yoruSa2JJC3GSVxplB40WgRx0l9ZSsDXWuwSyhksZIEspWgAdTsWZfoAdWrzCGMIqE9XqcPdg4X3segsyzxBXAY5/nei4d+GePzIyUEmHqoiKoTG0BSxObeUzoMrl5JVlm4UXElaLcIqfLYrTNIkuWbJtq2fKFe6f6rz5N+gVko7ZtniMq1zmmM0Xku47cl0w9+1rhfWak3vl6FX4WAKp303znrtvyXTsvCg7W151liTaxsxgmGFWii9nRD4yYv6Nc8lbQyEZd65LlXv7rDN2mGn1khCa+Zk1Luo3Ubppt2/GhlbthGNcdA7i1IMM5A9AAMg+w4ePCvVN6xzaEMp2K67grbe5+xhj5kj85or3A6V1hUFnqU/b7Rvj11ukcs16r1ed/vgxw/9Nbd1S7Ye9sS+7HreqLjciZRH67vKJOH7Tk9pLK3YbcPczBfaLpAZvL/EQu3dLqzcxsr0RJtZmq1oV43GXcJPHkg00AzRE3ibXBKiPMblSJR2HxmGxTSUacagPqfyxcI+f1raRgDvR2COUK1PUAK7h2ZJy5qteBgHog7tVMhELfyywYmkDBGng6a9Cy4n296iAuBWAIn+oxjPfsk3CHnCJzXBLSRWZp+fIJ85L6up62jaNlR9qWgFuSmTYLL0soy1kUL94wsxvHd9J+JTyKDHrPsKo/w6rPVKWvsZFPRezamaOLTcB3vOt3/+Ghte/xkTddHedBQ5ZH5zKi7Y6WvjviTHKZeCZ09wIVVBn0xXHF3pD1mgmNLeVETRclvWqa1rjOSb/bSHmkNWWXR3Fe5hzwsqOYxnm0hVvrRgG0xfH7JYnXS5wccQenr7FEe4OJ+Q4vTDZCai1HGpi3Opd3jZHllclQv4kUGrk9TmqDTtR9IzGjRXIHqXvLb3/gH76/1pLOvO2V68UkVynruZ4VVXgLkV4kLBcIaONVDzHJ3Y71rpXlp7vZ8X1q3P6AZS4PbRtJoMntOKWuoobHVoYym5btCJNpkuZjrKapyg0lO0rCo2QV83podo+ISMNni0x1TJ74BNaXutQ6cNyopg6gUBo4csvCsqyqPWJCWQWaV6BVTQpbh8TDv+8oOQowvUHMY0oAv2AAE58RGZZICSo5OMuC6ht459oEbTDFTKAs+p+ZIN3UJuIW/p+JsRLZZkfLhPlBzltUqSwRLXVumNkDqotjQAfXmUp2iSX+t0yMovm3VPivLryn9kNYRVg0sd/cxpmZqieVW37tw7tX923xO8Ts5fvCMHTiwdOxw+8sPYPIHckd/2IUBB9y1eDBkVaYLI9CBLF4jLSmOMg7bmGyoScD29Ct+qP2VuwRqwYrNid4k269vyVP7DlBbB6oDNLZboPjIKvU0yz7gCHzWRWtC9sfUhAtONP6of/0wcjZEtpR1nDJBvbgzMxnsH7nH/hiJv+npxjV51nmljh7P0HmkfiZlhXqeM/0HQniEae85DS/1xHfRcT3sdCDQma/5q4laHRRGFm1VcMEq1VnkXGFboHwqKiOOaUxJTsO9iMRGVXopTI3WbVKwqHPDXw5QyFnmShjHJyWicHboXNEfIRJ7zWG7yZy807CRXHZcpCLou9qbMRO0jFlQeH3TOfs04n5XHI0SawgQxwj0nEoIgpzlRm8I54BDgDvM8mSU7cIfSwihnTmUSHTYtYFVdcVMosKV2oMdj0WnHDXGTtf7+Tttw9LRrh2H7j+p87IhX9MhV6KpWlh+roT/owz7bseHY68YixM7WUm1L2/8Z6/W5UkLxPm/7pjh1kcH/dF/oWJh89Qps1WuYo6pHV0qRH+llbsZyfmKYmTM44pyxycvlsLL1iUSNa60jVW7ljAAeUT81VTmNcBu17+xqzvXhrE5nOmUd8VJVTNg2SLte5d4vivWDRk5eUgNt9NaMnvYxKNNWZmPr2EGGLT7Pn8S7t2rUruzMy8rhJkC88TY85htbcnJt5b7SVxGrmNInyeWtpmmS8Q8aA7lwkdB19BOEiO7rXs7hXig0QKxY6ugBOXqIYNdbg2XGBHNALAqdCEszpuWEYgMaNQc8H8F8Ma+aAMVTpv0ZiRLWqbSQ4yK3hRHhBx3wylurdH9aUL93az491DeZHwPeudKM4a9c02t2AM36aOnovRIlg8Ud85qDFxnYXRp4XvzUihyaoA+IJhAeAOk6NFCniBrTvqhHoYwTfOLdqAjjrLSZBHh9J4AG2Uqob2map8lSPdJkTz5OhLQeC+MuCLD5ysRgdA3b1tcIlY0fPujL4Ny/dHO3eGR6cPPY1zvowsfSWN0wPVXqh5gPOqzyfihy3rs9hSnZyOuKr9CNGGlGjfo6oJABwQANABcMMCvN9kfMTCFWEvvec9RSkEIDk4nRqiedQnKyYfjNqg0qpWk8z0NU6cXJRneq0RudlfdHYNdea/v+u9f+3vmN27d8irX31iXrEPz7xirMvmypDcCIt+4x2/9en7Csu3PQBQjXEbglzOypXOVWyYi54pyltF5CwE/qpYv+Q559zDqnqQjSyw1QSTHEU9g0DHVVehSBzVHKNMwpsQIyJrZYEuqY/l8eQM/L2gyScC6Y3uZ+H7yPFeZfslZybvu+GGP0uG77s2Kjjhz6iQ3HTTtbWk23qayxjSbxcR8zoixewZQD/CxpPWGCQUCv5g51pMskCsLad0GCrRCqE2WDzoRRgHjroWFBLFwSrrBjJyvpLDhpUllu8Z676SGPvDtZ7ksQ72xpkd5wnn5/Q1/xpe876ZV11Azn6KRZ61Ujj/fEDBdT0aLBOZKHR0GYl72Fq6XJ201OWXj8TVG2y9knS7A29IJiYgdF08FhYauml2XMevWnR33LFNq71/qp9zcdzDz7gJVp8IlO/ctSsvstK9AV50cHqREbfBdCbxfkliG+RBGFkTvCx37kUSmG8Yaw9TwHkm8q0bZj7dGr6+duGF1D8R6D4088r1GaEA7CRg99XrZ/4WC7arjwJ4m2tB1h+n0G0gp5sJBV1RSDqeIV6iEaJmfvIVFQfUsRas0yUmdA0U4hlIIWN1rsYiVXLaINImiTSYtOLLHgWtXALXhmAdlBGs9BAL3U6O9sRJ/3vdxuX9x6rmn+iiwoI8vA2SC3yJtfmLSeQ8tQ7LKZM4ZoiyCQZIkWHgIJzrrOyWLqjyAsON+7iOF53wgpAbtpLMKItuVOcndFtM/B0V97WcottnZnY/bgqG333nT2+igJ7LmX7jnTf+zfwHZn56S24dCIhepqSfUnXvs8HkQaKlisntc2F5WeUKsu6wJXp5Lbbv7JH2sChWnAM0YOpC1HVEg2CkVdEinuvbiCbPS0nuB56WR/ZFa6ZBZgQm8D0zO+pB1h/NQ+xdPnu5tHh4W1i9Sr8bpyb9SevyFxj/xc1+aAIFuftOUqllYdo/Pxd5g1H5Wh6Gnzn+hPzuO1++QQLzQl+YysIvv/PG3ce0XMqLWASx+yKibg0WNuBwnXXZtBNzjqqbFtUzlWULdERZZILUIWbCtFKqUIJ2Dn8jEcDMf8wk0KWvkhAYxmHeEH8MnLou2MJJ9RBBCI3odmZ38/oj0/vWhgKnNG/DJwDFH33T1VFvrHJB7txLLYHfV58iJChIj5MwrgxERQA4FOn6Sj5BWCbWtjpNMHJXkGt6FYg+izkoju5a0Zjb6yS411h7KIueu7I0dPLW1mMd78zMK9dHRM/TlG971/v++iDOdZB9e5OI2Zoauave6XatGQ1YE5dG9CLr7P3i5IXMwUOZZq+OjHmXsXkH1xshVi/t/qKz9twoDL9JdfvpesfaODF5fzKcpB61r//g37ZxXnbt3Al5USKkxAuTl2YA3O4dO6QshYy0psLl0SzeNLu+C2s30iKDf0uqPwHAQctK1TxsyLmA9F7lWjvnwa7AyCucao+d/sy73veZz6798u/7zR1TTgYvJGMoF/7KzMzfQIXmMR+rdbdJHjd5PO5ceiYpT0OyiFkgN75BVDGQhVgJMVtDvSWDHppvKfgSGqwqbJ8vbRRVW6jHIFGAlUBT/yFi/j4z7THs7s3DuI+7OB70fPyhHAnRQNK4wlES+NnPtQeexjmHaRhKRNU8zy60znMPX0iq2KudLPYutErozRZ6I6DQRz8WBNgoCicoiTDxvJIeYGLs4T7AyofYuAWLWDmXLlE6Vxk0Om/98O7BY5VHTnZScdM7oUujgL59vIfBa+BlEMcvTNIUZ+aS0Jm7Us23oxOizu4Ig/DdeRhh5i4NU9vsd/u/ntr8aVFo9gSj/EdEDTfSIttpDLY6E7ZumPnrh+H5Ns3OFtzLMzNXj+BJRHODsta2WgIhijbNjnv6qoPTi3GU5PFAs6vU2hcbw7cQyxEvP+Vg7SQS4R9bKXK+S537lgnCmd96bxGjlY/3X79jNAsHV2JmzqTu67/xgUcypVMBD+7qjm2DcRrwmCD703wdG5l0SutWDMskhGud6jpmmWAMMZKOCQncadWXKUQDFNx89xT9T2HwqqIsm3ExVJmqMCQvHyClh0hoWdCMdwqqVLwiIHIRhpjYOl+XU8xDOj+4jP5YoIZqpDJCas91StOGZUIJEyeg2MemlBq4U9/XKJKhIo5EGYQJdYZDzLxfVOdy9hJHoIJdZqdLGppWkMsi0WAxjRv9J+JO/fV+x9VbODTP0ZBvmZn5DEhqVh8fetvL6llYr5x3b7B073mdiYyDi1XlQXbuSvTBrbprDOm7KlLvG4tGRPHAa9IYMV0A0vdepV8JBzLYRDE9RFSRiflOtjDZL0vjBaqLZOFu3M3Iuky3ESu185elefr8IIxvqUvwpb7VWCV/rlV6LTPdzGraxmjPBHpnkKdL44tbewcnDp0VsVlM42ctHm/2UbSVpHkpgl5luu2G9/09Rg5OWsRcezIAuPu3LjYGGjYpkLHA8ljOqHnRuEK8zAPNjalDNsrrnWLriaHBhd8jaK95ATcGSkrL5ywsoGKf3jkrgl+xI3Yg/AMNPnr6aPT7sSVV1NN8ORcoQyEY40hYZgG7kw8Mwe9L5AIon4IPEH2KoQ5XYNUFfrMPBrao/bVJ9SizIPKeV8STTucJVFlCD7OTNpNtq+GDBi6XddEOKu2JZNB6c7GZ9bgfv/Pun3qKc3J2sx9/FbW4Im6eqtwws7t709teVuuCKD7tV8UFg4T4WaJuPie6XCy1reglJnO/UzeawG0CROUBoIy2PNoJowRSVGFINV1CPNevLo9l0WWHj0kaig/1hdC80g/qxmI2kWjZ8k8OMndRHPC3mlHlZgCOOJvOlW5gpr+BHIEheshYvR+84FSL0WQ+aSDrY7P0WxdyThdpJPvrg+TWsqZ0qjNXxHW3NqhjK4ajURR9HUEvlNYxuap1NCHEo9Zh+NFNOOYJsB1a1TFCpwF9VdYxwxwhoyyodX03Aa4VfrMLrQViaZHqQSVaNCRHnbplZrEi0GVw0PEyRBZiIQmJQG8e7wGAYR5uiguLu05ZoTjYJOYaM2NkvcIF2vyQlGPuk2qLUdxlWbTqUPg9qsqHDYDItICuBDvBuNehgOWIY9em3PVuuOlzaAGd1o269rzihnjPu37iIrFqf+v9n/2uD6HO655LVq9j4b1KwbdisvNJkkN7ekJstNmx7ebOPoNJ0OKKgwb9AVEf0zweI+izl59x0A/mTlUgh3HDjGcS8PXdskTin1i4qjlGlRkHgC7DwemmKRD7iMpcvdMKu3ktzDivE+cfIHWf58DUxNl7lYPlcVu/fcsBSvH6X1phBjoZgBBDZLlFDBg5tt+44f3/+ODpnDx/smZ2hGit0cCtJ2swXzbiQedoBD/DuhUXF4VfuFQUf4s/UtDfAwBNIUb1H4eI0B3rMrBoHaeKEkmHQd4shGD9QTL8sFPuCLkFYbClS0bWeSUZq1QjcevU0ZQhXmdVNxImdtVb3REpJJdQaI4NMUCJtgbKMojXMP27LIYX1Pmm/QKLLDLRooKGn3VJcp53AXXVmiUTuvmQbTtL1c7c9LlTxr4nOv9wmb0oer6m6ffxHuhO9Cj9YxHzahDcipFX9Jm+WUlythGdYXIzmovDCH7sLF0pgX5NBvJ5mmwMLtxL9tGtz6L8UVyr7caDr7Uc0ehIByNnwxgOlmNvgPEXzMLhZ7Qnjp0QKQ9/ENCSiXLq/aplzQwHi6TuARHhtmvsOXCA0m3b5sKZmUePNpfvgF6f7XSfY9g9zbF5sE7m28hkTmXhfPwxMyOt1t54JOpPBZjBp7zprI6CAp/Ai8toNKPW5pqsMorGM6tDtwGL0hjKxJLKiC/CQhNrGLzDjVq1KRrrhLEhkR4sDyaqiwkS7qjyUfxsWPsI43Ln4F7roMV3jptsAHjfp62ras3X/thFQmhtwSVjoR6JNNjToYyjKDYvEfqUSmAHmCfVJXW07HuXVtscckvRd7W0bCJp9TWZr1bH+6fqp57sXM785jUXkM3HLnyg8a2i3bW94trVV61ow17v1H5vZVB5Jqg39nc6rbBi+cogMIecy5/lxByk3L2WI3pfSvYANFoxyoTPGcb7WszDbeXBoFevVGpdDGvOzn7GbBhfd76pJhg7Q5LzyANu1Q/W1dc19x4YaR0/1YlnbkPzfr5TSSN7qbPuWkNyMxvpk7OdIAzu2PtA4yBGaIDw69/x8kYtFbP34dAvbhzzWW//iY2Z2kuNmBFx+Xeokd55OnNweN83v+nqqNFIG5LGDVE75tgAVI2VydUGOa450TF2Uie2o0oyymTHFOBT1ywa/DoCSSb21ociqDEMR4k87QP6qt7VCvfVKVyHZeIOSi6YKiGCxgKF2NZDr5Q9o7qibRUxezkk7G8idsNzhcV4yhvne/fcA8OALzY7h50IFJyX0MAXoQWH0ST0bZ0us2EUg1sqZim0eYeMLm9aWpj7wuJW90TGlK6//qrROAsuzmK+/cYbP4uyiszP3+oXpEdCu95GYafbdb1JE1eTrG3COEDjH8RxV5K6lnV6RSWS9/SNS6rVaob6G0CG109PT4cYcp6fr+pIxBszEyx88IN/28F09lo6jeMAN7OyRTWjMzPb49nZtsVyRjn9OxyyIwBybGxzJczciHWDD0EVxcCVKX+fSDeEIl+c+fDNi+9++0vPIye/qaTryPF77z4wctuxVKXbg6RdPT8k+xxH0jdZ/u33fOQLEMc9nbiEZ3ZeU02rvaZEgr2AhkowSs6hfVUXB2UXQYMeCzEjziGrJcR7I1RYQAjxYoSpISwoU0CILRDsNQzn4BxAVxwL8gIUk1FaKVs1VkgCn54qNLK8omDgZUT8gFyxjzBkpvTcShAXsepg1ZaJeBlFamZqqeOjZLQnzItk0dBHZizLll3HsC4jVMnRb7Xc0mqe3njjF5+QBpaf/h2Zuhig/Z0P3HzHsSxN281wNwLYwfUP0k50AVutMNN667Sizl1BYr5VMdnnKa2mvWqoZtC+Ms/4Mha+1xD9HfYerB11ed5x2L31mOmF62eXFubKRZ+TTfz6Dy3GiH0QKPPzHZ6cbBRmM2jGCZtYje4gxxeQyA+EdT+mqSNrvk+Tl85mra//8sq48H8envSPmNHRtx8/Nj6z85paVk+fbkSf5lTnnHW3lWPQp3KvngNufBDT2GAssTwi6CbAuhltiGPIkFdZtYJiK4s0FCNJzE3r3JiIjACY7FydxEuIV8Wv43FYWCU/X7lCTeddoJ/u9WxhQ80bzF8CiUb8UgwaG/5rejlMLwvolxaLrSxSsD71FFkn+cUd3z9lQVbqlpVkCcCDBSHmzopj6JNXqqEWO24pu2U1US/s9+Zn83ZSXrhTnZ9jPdeMpJ1vPN3kVDdjzdvWXAd//XfuvCiYrjXrlIe1ToVbjTwNcwqebcEQn+XbRWV/7vTnJQzfXWFdpiRJyVSlnWdvThP3oiCUe2t1eW8itBBrsK7n6kfCMAkeeCDubZuaq9L67StMTn7X4ZgBTJ7xAfmc89vvO6+p0nRhIv04cRKbQVRZ5yiv1tgcTnIx5NLxjOh3RejTRDxl2N4tJjgSJtmdiTFnMsvPgZBFKPhIMP78e05UGZ9509UjWZQ9k5ycq84dikL5zsxNn/NEg6c6qZ4+tb6uSZmr5GyrzpimECjmMQuHhRX0T1Gvo5iFcJdOOKUKsRlncg3f9Fe4Vr8QUx12AOorFFVYSUNpJRyOAZej5BilKsSWhuO9w7k51JG12NnRxC/poEzvCIo3sI5dZLQiCnVAtLI6wryMv4etrUVlHrB1mJUbYNWQmOdDwwOrtJBHcadWW14pX5ze6P3xYEvat14guV2XhHRbuZhUZPxF3A7ALRZu2s28ZftoquZMpyYURjKkTefoOWzkAcqiv6pwN0PYTEHbt0PSKG66JBi4pslrneXimq2fSunIXETrkcVOubWj8ce51B1RCbg3venqqJxbx6x63Ta2tHr2vc7xVL1CH6uR/ceOi2pssp8i5UuI6TYhmWPRrnF6T6huvhUnFjPupyKWuX7nVaMS2aezMecKAnNjvxeOvhAtl9NhO2JQQ9AkNQYuHhN1Deu0IWRHCAbXEdb7AosSCRalVddJMQc3aR0bFl2H0q0lmvQEhc5BirJhWGpWXYxkQgjqf35HNFSSTMj5ZXxHYtGhE7QcmC0mQAQWza8GgrPDjzz1hBRrhl1WRm2to+oGfjrFcY+Eun5XtSjJ9MjKIgfUFWvbzoQ9XMz3/8HfY1jzlDfg8TcokrP+/PLThNxYTMF3Zj76WewC88xbf3w8s/bCTPN9tTYdxZ4pyIXgNc6empsKA/M0v+yE2M3xoVz1FZVY352FyXKtNp14b9fuM7b5cH2r1eWo1gl13lQzeEFgqFyyGVrTYjL/uL3UlfXAGfzxvyhpANJ6Nx3truM+9UM29jxLUgvj9N4oNW2K4whrgpnwe5xzt4uAHpK+D7H2Spz/YD6ttkEqA0IVLFaARPmk2dOvbG/0JLwgMHq+OjuwQnv7rrKvZFk6hbXz1nlwuFc31azhUqqrZHVSGXcOjl7XFQLOdp2v+Vq7Dg0HcrTBCbtA3ajD5DBxT8hhtm2Dd6FEeUDUXQ83vwAAIABJREFUWKk5IjnNWdyIqmSBUM+p+n4oK/fFkFEvLodxUu074nQIPCwhYzgAf3oeaOAxJlg918H/AZxOuR+otHOxbSgjhsSdgOK5Tmxt4wkMEOBc4SYOKm4b+ilZpf+9D36wEDuZecv2sV5m3mOMvl4dfVVV355Gg/uxaA7aB4rtFWrN/Uru2Rg4zYlfIai3NgZfA9j27iW7Np4vEoamAmAjI5MRjtcvX+3zNzUdv4h9fAxXlkn838hgABS/GbUY62zUtj6mG74ZEK4ax1FO52W5vN0Q/w0J1SFdhBOXxL0flFs8WKY+FejAJ9LQ/jnEwYU+BnOEubS7b/zPpxUoF/uqU3PVxFSrjrMqK01SjkYCT1rWQImxuwBdVXB0oLeJOfK6YFKXKFGhBlmMMhFkAiEXGTNpA/0vcIuQCmKyMb/gQqB10FFmGTDKJEXht0cObwnpckpZFDuvGAeHa4WVwxJ1qk57oJQw4pAFgxOvT0a7IQc9q4OlmBoJTfZ7J1hyPlWU4TfZRqLJLRFl5zPpfC9M9n74w48o6fzmm66cyl34xyL8cucUE9mv2Tc39X3s+XZrdIEyx0JBQ9WuX5Gx3Aw1HFexH2VOktHROCsXoIuKRTFoWTyw4bfd0fytCFWIbN8NNA/f/wdf9cwD5eOESzS4c0t2bbwpaikltQOQXKLavwnA16xGnXzwU7mlFwYie0BroGSOBJy16nnz7pldn/GjzNhTxarhiEyOJ6EZTE5e2nl062tGlma/uKEShU9zCkEzbVnSu7kS7T/JYvSjLoJPKKbmql00iFlio1LLyY2jdcoq45ZoNPBYczXrTD2AEKBfXYR2qYut0kDZDFjdkCQGHyHg7d2g7Cw7MyJsFzCVosIY9myD28ZbRNYUpDtMkjB+djQIGOaRBgK1aeP6ViUJ1PVxUzqNOqyakMnaA1PtTbb76YnoGU6JtJUFibe8ZftYlNAFRngiN8E9rcHCvqFX8dez5BQ5Z93R84j0+bkGt2u1eyes2zlTi+er6jpHrgfaB6vcZ+texGH4njB3y704HHh3uRccc4/snz4CvLKOuyOcn+9UTvY9TgY4vM+jflcUhYmO3bgGmU0zatm0Qib9d8oybpTucqLLgVCXrHmgpf6L5whOGzzyUhF+58py7Z1iwt+96f/83L4TxSfgyeg4OpuMPMU4rluiQ4HaeysDOnSaF4R99kXTYRL2qmptM1NTc4Hj0IL7hEecc9A4Rd0N07j4kymWb4gglotfpEXJxG/WZ0yKcoZ1fmxEoQCIJmvX70Z4lXMaFFQgLocUud/zMpwxwOWwus8dzjnDRQ2EBjmHvdj0B1lc7T344Ci0JJ4Q/SuYC7Bw7ojPsirL4YpXiKeuLPvYPsaFN4Klm9mxI5rZvbpk7oG4Zd3CWUTuDIPdCtVLMfiZk756ha7jg5XAPBCrTZAhI7GAJaSoKZS2HXWnHG2bW2FN2r7CwzeDP9Laf8vYaJykSCxmdj2yWnAqCzecwAW4jiWaK0C3x3OOTC9u5fmNRQDZj4JYI64naf4WJe6y0qwhd5DYdA3LgUEUPDSZBKZF3T8MjV4L80KqP/t7f7TnL09293ou3I2HJoIshGTjWaDRYoxh5/kDNFY5ctNNnyulik5lAHhmx46wP75YzSkPTRRG4rJaknEsItPKfJTUTjDotfyWvkOvFc14lFXYL/w5HSeWrmdUYoeJCK9fVYRtArWrPiRXATjD1AV7OwstGTKhdW4ZLEkauxYNKqSSerquKlUzmr5ocJrJ0fHfkd/2tpfVXN9uFqtbmDnLVe8f3ej8dj0ew6zWA65MDAAKGIzS2p01evhMy8hKZZEMXaLOL/O8mkX/rGbk2/3QWtuyYSDh8y25idDQrc2ADnRqkTaOphZAHj2wxbYm56dGN77wIO3bE9HZ21e46U6c8J20DodzCReI2A30AttWmA5mdqP1td2UBDdJEphpQv+nXQtNbpO0zhomIzanX8Vir4g7KCRHWLljjZsd7+uD7dhstaQ71end4qJPjZ5x2VJ5dyBmXMNNuxofIC4ZDZqTmvNZynoGeNqskwXD9oA6OpTG1fapMuHhNfB3tKewoOkQiVAvSyITm7paMxUa28+dnY9MgKWcMLco5mKaSZs502Ymg4ngwFmXetENtjF0GQJxoOkybClwkWtxToEzJg0zm6YS2Xqo3cEgUJNq0jgXhDDeIpS1lVPdLMf8HvXR9iyNKfNmJllPpEmgsm+RFg8WEk24STs+YKdOZ2RSTRskRGU86MMNsFZsm3Pdg+6cXMKNJqNWzva5Sgwa/1dWhf4iMNnX1VYckkbXrTyz09UbsctbDXl31YYfw9svV2NtUrvWpGaPFit5gY/CCz4ewK1+waFyykpdbrs5coQq61cKeLBu+BlPWt+j/DDJNUnmrguU5ypNe6PJq/MAXZrpG4kM9N7vE9IFNqik81JfavdOL1byvYRsZ5UAxQ+UwQrRNk/ScsKLgZPdORRN5C7fwqxnwP0pQS6J54zjQ0lE8yLR4+L3LamrfFw6urCOJZXE6KCiUU1zGYkob7MEbfCvEdFRDVzVOfSqjEiqNlGTBcFAo7zCNshSmxYTFL2omcZxbpGlr/ESj7u0Ud4ov/Ir2+uxGnDxT1uVJpP21OiDY/NTs6WLRNJV7S7D+lIWxq9xStcJ0Z8LuU81p2kJ1QLcmCh5cQa2UsztaUKqT3ckPat6Tcjy51XDt9i+5ADUSD/hZMyYcJBudGRrNrcP26rp53nTBUFb8ry9OiI1TuO1D+z6AkovJ/2ejxXDHe92vYoLUuLOfRFKAmTXtV3SqT3dDdyLOOCFRtX9HQ+ybjvmILZcyZ38e3VmVLBRb0BXJQeduNTFlR9+9KOfRZr+WBdgtXZzvAnAcWyuzzVNRBsz5s1YyxNPFqg9JzTPNp8LI1nUdtSGRXkiBdNVt/S67RVY+CI4BhcwuFbA+onOSwGmtdnaE7VcJzBzvHPnNdUx157IDG0kR+gHg6jkqLPpwSTsLSGR80X6mRlutW6OSw49StNz2dmbhXmLKj0UsP54c3r73XClKH0MNDvfhwNOolT1bPLUYvwiYf1jF+v3YEh8RWJxK1N9Tsp62+Shhra2HDDd7jr2N1O7zx0bmdyk4djZ25cHh78w+v4/+Opj1gxPBbjV30P8LCrLIsOTjg9H2QMnvshep8N6/aguLsZaq1GgmocmCX7aObpEWW4VsblqcMBInrOEDw4KN1CQ6a1UvnGx8DlNI890ak00mn53bUp/oosCt5+1GuOBydZblvXsR5I0dBgvcuhF0pI4Xsyctkyz2ps81BgMrejpFJUfl7v75zwZ33/fvj1RvW7qkumYqJ1wJDVMQJGlJWYzJ83eMkBV9qT/43UvmYwme70SaADEkam5KMiDCXX583KVVwWsu4Pm4LN4zpbJ+Y1Zpmc70S5nPE1GRzSnzWJ0Kzn9Q1eTB8BBXBByF4+yKuE9wHRTW60kHAxM5ejRTcvFjYZ4vhnt2vWZHizsCfiLjzktjwk43zpaQTlM9jve8IJmrT2d7KvPSbNZVd+cLRisjnmUKTMOFGzn6yULuzZ6Xsa0I3D6QxLQXvORwHDHMS813eCBD/6J18GC3+ej+//bq5zyRwzUVVh/7cjy+j8fUj89JkBg9c6qtCp5tT/irJlUx5NsMAfnwJYEzjUwVvZIZJmcXbYkbbLUiYgGcH9Es1nZ3nkiVf3TBJsvrtPevUGn0gr7bCumwnXNFFPJDcSE7KvHrmusLPaiYJEKhktvYcvpDgAL8dLOnVfB5W9KybbiuLEQL9mgtOjIRuejTuVQ2uie05yt9Sna6kAS6dB24614P1W+iFVbQRx8opL3F49AfCRqr4KtZLcsvxuuN0KhkiJ/La3bYxX1156bU1k4/1x80aIWd43dv/+WMWOiwa6V2hpiu7IQiEAcF2zV9QzvDlDft5oShM5sVCuvVRYwk95DTB02MgdiQAJ/RdR+GNbuja/f/hph+gh4c43qO4JO8nHQv8Mt7tx5TQ3x3zBm8fxwJ3KX5YXJ83ZN0mjEcbGJL6RNTAMTeXJnlHctCSXYbTOO+5lwP7B5X8MwwXGFJktthqSgZrvG2rhbiN0mddRyiWppzoGNsuXq/CqXXVHgDkyeL5g45iDL4qgmDA37ikuooqFW2NrYsAkdWzAkYvYOWWwrqeatDUc3ddeULbznKxMdX5bYNsdz+2WzP7Zuw5NHt8N+CiOg3XyS68F8mUAhPsVzKbPTjiVVR+s40CnrFMIgYDj4olZoT55nSRAMBgAY6PohiZBvLGi31lKq+jLT9DW2JCQsMfF4suzTAhy+VCm9+IY3vKA52nY5KNOPmtQO9aAI8cbiYsUHkEPw8RY6YHDgMNGgqc8bQSPLzUsc0RWqtJ9YZ8WYJbEK4pauqn04j1wncuFFaEhV1P1TLwp01zAQ3bFjRzQ+PjcSBDT42MeOlag8hYXBRQubzdk4yupVMmnNKNdtwHWy2F3Vqqjn/wgL/kHwCfodPrDEKwrZBnpYw4e1zk8yefIaTABb7SItdJ5T1YBb0Hh6fZSLrVUODfisM7Caq8n7eRJ1qZr3RvpRH2A9bgJkNXYtSxhrb+IjD7pNVuXXhfQZK8OfH1p/Nn3BH9beKZkdHwSlITiyj9ap8mYGGUVOFWHaqMQYDH0KjooN/T911odtVnVZ2J/IM7qYmVOm/FsjXF1GwoA4rQTd/D3VGoCN6/22a19Wa5x7ef/w3V8YPZptAoXYqcgjVy/PaQEOYKvX50IIVUgQy9TWKxeX9u0Zsc1qH2UMuF64TxwMlO8gELaFRr277YTxU52jqxRz4VX39z2VdpTQRmX3b0nMBia9H5waDNJk1lZgqONsOjs/2DxfyDUOZ/QKRT278xev3BiMmPbHPranW8gjBfWk3j58MpNeWucT/L7sppjx8UFQS9uRZRtmNoxIXKjkQuIwFAsK/QyMSBAiCVBrg2IgWNAzFTT2u6LcztimUUA5J4EkGB6uxD1jrO33JTcmtVEUxNPTV7RPxAp53M2yNlkaCpfsBru7B/x/uHb7z4nQnxtUqa1+uuJqr4XbBNcumOUnKw9PEgfg6Q1z68QY3uCcNpzqmcQ8EbB+Waz9alLRvNIu9F1NRj+bJPprzJyEkXv3aJp95WilKcVxF+1MWL4uCr3D6sIaq1Zi6LQy8NMCHABVnpSyVVIE+gXt/Vt3XFaBEh3kdiADBEmg4NCSLNZjlZSuyFN9Awkt1gP7ex1TOzzmWoZogno0eIaqvUrY1EndvQCcsrQMU0fYdZ3TQ1TrHcVnQroRX74Ezr9/zfYtzO56w3zpClnMB7Mgu7ndXgQHLWKM1TjkeO3UIkQ4bc0tz3cMVZxSTQ9CdhBBgwvDe01+v29xI6wdaDzRz2vFeefvubTx0U8WLO5F5l/sAZTnGME33CJu3sJ4TSnkl1pTSdityBRR8CpVfqoo725K+I3G/jSZ3WKnrPBGsRzghsicTgk6KuB4Y9qsxN8PxN6cBsb3NnH8uEYJxYarJu6rPcdYDCvkD3IWZPl428Xxelg4HEM2NCgYRvA3xNAQuGuvfVm9WnXBrl1f8IXwUz1OC3AneZNVZL9+x5VTHdq4gLsMFwfPL2OZ+uJRXazHsUhmg2DggZCmTYcvDM0mzwWSuOcqm+2kNjRE+xwmYoWWWE13RbezbyzPpbVs/swzv9YFWPBlD9zzpR3K/PGAKcosfVaM/sdoIHPrt+3p4U5HYFvOeVUqrcpgMDrA8c3PXx2eACQ0vMhlTekYK4Mb6sO7bxlA/yvLavWzHjCQNz8ZLSyX+qaPXBx/Y54w6QHgms3ZGmXhU9laMVl8F40XVPg4fvyNutmhQw1IaHqBOi9I/Iyq6XaXIx7EE2rcFPsFRxdlzJNCmGqhKWbZoux+yMz/zQZ0ADLj0JHFNYB2GK4RrgFitgO0xW7c2OF8vl3rBrH0+wfbkJJHDN4dT3OvL1Zo0voa6fGiLqcCWvn7fw7g6JevvXx9eHS0BTnrUt/9uuteMhHm2rCRO8xd2zSRiVvpkSPQTsWH4rnll8adi3gPd4/pJjWO42daa1/kSEJRvxR81IDoxdDAWYuJiqWQaZFqvZbrNieU3MtWlG4u1pz/ZNQmew9QUTIoBXtL8RJc0DPvD/uz57ejNG2ORFF7eXGxn0Pcd3giGMe9dWvRfyw06x+9N/DWHZdVYclhaSAJWYCfVsoZ2yOEE6973fbRKKFg11/sAY2+H/HC8ezccdXoEEQYdqzhhvuzoX4CADcaHXrlyu7Fh9GTVafXt7MNnyxbT8fvLnhLn9vxzG+FST0oREmqvk7HPKnsJle0t9aJyl2By79s63oQN3q8v9B/xXGV4nQlCAA+SKUTbaPRYGE8ym03Jmh1Fd9x589vX2fzxNl67GnXuoUs1TE7Kj8SwJWdiB07Lqvs3n3LSk+wcD95r7KVIpp1LjTd7pSfw1qbxZba7vji/k7bv14ARNxR3W5QNRpdwI5fSEpjznEqQoeUaQ4kgVjTE6IOGL9Fs+XAVrvlxcTnwMQPBgeyNWDCf/O1114+ZXLzWmL5WSH3/wZq/mDXX+zxW+drJZcANrhtgBauspia2WsqlS3hJz7x6N4tnq+t6jmbDwf3z26iscV8arEeHt5KKqabH7l/eByM+uLZZ+9JZ2cvqkzf3UxLC4nPfvCuH3vtyin6fSxak9N3tO2GP1xzQf1rg8SMJi6bCDAKHxgwQ0FyvGlYR6zSRvEbaYy05Qes8s3M9BfCsOpvKFi28fFqsLgY6cbOmCuFh2Gx9u69MIAxgAwpwLVjx2XVbcPwqPQUa9mLTxdYJ3veP8vClW+KuxYWA5bruHjGX0yAsN+fjM4993MF4yL0Vn1sUign42dNsnM1N08XkQelnnlGTduN15PY54nVczFSxESHhPSwMiZkuS8AHXGfMU5k8l6QVebjTjj46GeH8c9Qlhw3Rk3mzxbOPy3CT1fVw7nS1R//1Je/UwJueHIBMDO82Jg2qQ6WGz8ekLvakXyi2ap9E8K3uCjNpgR/slI/xE2Gi1YC6/U/d8XznJibjOrkilrNu6NG9zMA8K/s2N6Au18rclL+jPOXt+pXMJswtvrf5+hIOk7TVRflTRUac6mNoBwtTuKMuS5GsfQ97ol8sF+rfIQD909qojtVzSAMu5LnlYh6+S/kSucFRv/JhsnfiIzagde5b1lcq9LDlFbvns392ic/eevquiasvnetNF1dpPHOE7Vqa8H3LwK48g0BruHJRxNZEOj6zPLnt09OP9UryvhA2+t2rZHqxv+5rv2p1NKLI+HvNVg+Oef1NYj8HdnIKklozyNrL0CwTMaf/MNKCm7hrjpuG9HEiUk4dykJtxkMkjbrwg3AsuC46vH6yyV3P28D+vtekn1+9+5iMPEkInP6up/9sYvV0D8YwpwYf5edvvxPP/Xl/a973XYMbA7gRss4q4xrHrr7ha9f8Vq7CkEGujEc6dzwmJPOQ5eMWNY5qUvmmiBytoYC45AZcyyGMDLVcI6ajhTsAtjJOEhi7rR5doeph0dgxWCpDjWWZHw8ZWo3a/3E/bIlfpoJ9OsuTD5RAm58PM0RMqDyECXUgKV/zWsuHalSdeSPP7kHTObeBuDGAjinaH30sd2Pqwx1UkP4Lwq44ad4y1BaPJjtffu2j5x99h6flc3fenXoVaSHlm6+WjU4SfhnvR7H0Xw7Xawca/pLBWK45cFgbMQk6Vlq6HznzAXibGiZ2wYjUUQdFbeIXQE1nAmKqoYzwDlPpV+jLB1QbOth2utHQX8Yi7hCM/WR0kN5tpAJ59a+kYX/DSntSiX5i09+8tZlXJyhJTimFPCmq6+Oe42lukp4NTGNZWG++xOf+LqnIxsWb+N+P24EA6OIbZWpYkEzloO5kw1qZkoSeTp/daPqeETFYRut7un/SWeZ6IdEwX0uCg4hdEAY4gvCQxHhIjxZkvFByjiP1WqtZm0nWwu2fj8eJ2p0x46avDWVNrZu/eIivFBZD4SVxzH/S1i045H3ZABuNSZCHPTQxmz9mRd87RDchw94E2os5kkXJ+LjH//iwiNV9D7j5OEAEcCWJr+sL+H/ATic0PaGPp+9j/IjU1TpSD5tTHiOc+6p6hSEf1aFQTCTkvKysFsgYwYud4gFczTAIbLmHCyiS4xQ7vIwCQzl6pJMuGKFrDWc26SjucZS4VCbLgqwD+qF0pqHq4pj6HYLvbFKpSlwY/GAg0HGQRZTUFFjMN5kAoKgYITOCYAlwrHzLF0ivoDMisWciMmNqvAEOYcNsgjSSyyYItZ9SuY+tnxgtBMf9YH/QQrTyaYbxmarCtWli8T5K6zdgzoerMfSN1Gz3cLrXGOs2cp7y96tDmXZYeGHln5tJn3S4YmTmq/T+MWTAri1n1smFjuvuagKBdBdu27rIdAu7sRGjoAcQCvrXGvcs8JSIsAu61CwhrjQyGgTCq8Q1hEJ+NZulh3ARWe2ldDZ8SzVM5ghFOcXnyvgEXFYroKTU5n3GgkMSUtNPC+b4UzVMxpBfig32DZVgfhpDisJVOTgsrF+HXX14QwUU0WNQQNUjLUiFFiDfqgTCthqaIxgnTXwy1/WqxJGGGVXQ+OsWivUIMC+pD1RytTwrHP0QED2MNWojQyz35/EWsR66vPFbLhvnL01HO91kQQAOKWVQzI2R1M+TNjY6QQLEwvxUx6u9srzt3cqCacoNpB437HjwhCAK+XTS4vm5+k6nQCx6mng53E/5UkHXNELhN76qBkG2m24HgCn1qVg/VxhNYbJBrLMGpILZHOdTjU+//yvtkpB4NK6BRmt6/f0zY7cuiAI/q+xTuUbhVt+5OTDMqJcAYs6cPmEEd5klTeKI4yX1x1rzajWHBnDoNCCQgw7kMmAGBDUFWAUSaSQA4kIFlMoExWsFJLx7F4SqtHI0/14sPhRdL//IKRolVWRPUI1Gn1bMdxzliwbbbGjPkRAlGU2ZD3cp/4ywFEWz8vsPQmOGFgz7bmX9xL+VcParcTy2zaKvl+tzivKHZP9vi1LGwBfwZhA/NCdL9gYjAyWpqdvGwBYaxK6Qmx5z3bZdzY1oqjdXRNnru4/PG40ncYLfmSAK7O44ycxippXFKCsUlo0lAxKK+gzzuOSDLiyKHJhJZVgmaiPeAUXxbdhhgVKfHcAdW1sU56P7qblCFlckCejbINaHkDLAePkGAtXKNnkVnmSPSixKoeGv4wIY+zJc6H6Km6g6ixj7Y8Rn4bEDkIls/DnKOEwS7oiLdRHAZsCbrtEW9LMuuhU4DvU67HCPa8tU6w9bmTxuFFhvTFATGgJOsmcS7KApK9108br8X1cO6x3KWmVNzXe57gSEb/hF644p51terCo8SEh8HXLJ7RHcRrYOuFTfhSAe9QHl4XZUga7HHfx2exBWpqdCuq7dn9huUjLJ5bw+3KLrKjnFSR4KKnghJfF5DK5KDU811pGWMARomqi8U87586KjHwtGm9/mQ4SLVaKko53PdD/3LNdSguztM4G1YELOuFAGlnFdSPQ1WK0B00RLKZmdjStOvQky9GeMoj34BmCBq6sT/ainOVZrG62Epg91Gz3jq+Nld8Br8XNgtcjHitixkcyUWTveA7AGiw2Y5Rc8O/9ey8b+y+7b0G8Sf48P+I99N/tuGwCWfuwRejnEJ8ocJ7o6/6HAG7twa4tSfii47Zbkr17L4vx9333Xb4OWV7RoiqsYCmFDpcbLDalPNFwn2XWidZSkf0WMSKACYsyGtRGBnl+nbU6HQh/vZp0/h7HstY6nuiCw8rgeVWKnp2rvoBVOmFI/0gVOoT/L1tGx78WoEUXJZpvC1XGw4Emb05yeR4LHa1U9H1Ru+tLEHFedAHK8S5PuQCrPnystdT4L1jx428unA/px42N5379aNl+Kl+/trC9ZhvvRw42f4M+UaQ+Ga8D4FAjOknd6pisCc8FgP74L7wGqO9flr2+sjvwSFBcFJgRM7Z9qWBe0V4CEMpsr7Rw5fc6vsxQAC7+ydTSv2GyvWoY/BdX1bsA5LXV+1UgHF+mGE8Bvkj7MmlMqtTRuWy0jl0bW7rVVX6PIdiOV1kuQYj/x9TMYpIvoZaI1llGSXTW3GP2eJ+MS/a43/NfFeCOP/odOy6MPGiG8RiyMNOpZj7mmb7NF4aH1Xp+wxte0PiTPynoDMpH+XpYv9L14ndr+7plKWZtc3p1QsRbksKllbXCBgUNodz62LEAkS9PHOOSh8eLzypDgLKjgueWP4tkYZbV3bn70wSfMyxTrLU8vkl+zz2XNur1vF+OgOF9fZZZdHZyJGFlVonvvC6cqG84/6utxzEV87iB80Rf8K8ecBg3KpvvBzbTRpvaBMGyz3C37ekd2bu9llASmSAWyoNs1+4vtBAsNwcpo0WEi4jnDJoZt9vTPs7xa4JDtwT39aarr44QeKNVNQQxlwVqFETTtFlvHq76cgPixbUxlS/pDN9rWDx+pJtynEvEP+Fmy4tVxqLFMRXZ5drOxfB5RR92H+Uoa5TdESRV6DujEL324q9JwlaF254oOJ6M1/2rBtxjfeHrrnvJJCrkj/Rlp3Q0mtuE1gwumn/t4nhtetsXVoYefVI5HLjcawAYZL9r3x9WrXxe+f9ldgyQlIMGq+DyAX2hK1UCDc8HUIfWxpce0FLDTeNHo9Bl6fetL32sfQzbfH6KZtj/XXu8uGkQx6E+ttqlGXZtnqx62ZMBNrzn/3SAKwNgNMNRwFybafmln5WyCNyMr54XtafVubW1LRvvbocuqXBRq037tefan58yQ4ZLR90QCUlyxhFYPowZoUC6Oh/mZ+YWa/U/3f2VuWL0aG6TLLcXdn3mth5aYmnaHsCllq97jCDe3yDod6IXPLS87o2/cMX40Wyhe9w0zJOFj3/x9/2fDnAnOQNlQuH5RMoN9HKmDJlqOQlcTNjK5a9BAAAA/ElEQVTuLt0egPIoy1a61dVhw+3bg7Kwirk/fAamX9DZwDRFgyZH/3T3V46iaI3+ZtkyKrPuNbHUcYkPepZ7zVrgr/l+3kKeaLrkXxwFP8I3/F8CcDuvuag2fVFRTUfwffzdf9w0yOqk8snOM55fxnDlEOfa+bRikmKHiaKH6mjiI4CHm+5P9KcwbIrZOXRL7r//JePDOuLqsGJpoYtYq8/DwdUyUTjlsf0IsfGkfNT/EoB7Ms5MaQnLcavSdSMjLCech4OnCM4LpqY17vwxLNOqNf4fUXh9Ms7V43nP/x9wjz5bT2RKYtUyFTOBl8VlNlkOL/zvCK4TAfH/AxjlHIlFh97RAAAAAElFTkSuQmCC"},95754:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},9490:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},82670:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},61834:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},8451:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},71463:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},73099:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},39633:function(Dt){"use strict";Dt.exports="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAAXNSR0IArs4c6QAAA/VJREFUSEuVVl1sFGUUPeeb/tiUVqKiojXWqEklmiaCCjbGPgCmMQa1mIppYlCCMVIfTPx7MOATUR8MtMbYB20MqaBWaRSxCrbGoNRQhUIENQqNoYiBBFok7e7Od8zM7razM7POdl6++bnfPfeee++Zjwhcwxe0C8S1FHaT+PCOav4c/F7q/fC/WkKiDRYtIP66s5ot+b0MOvlpUgumLFZYYBWFB0AcJrH57lruLAVs3zmtBvAyhAYQ/QL6yw323FXLsxHAobMaA+AFcAzAfhA/WBfLjMEzVjhWXoG199TytzjgwQk1II0eAjcS6CJxwAJNsFgK+OBu8+W8ztvrZzj4j+bBoM51UQdikRWaCSwXMAGhD8BNApodB08uX8DtQdA9p9VuhW7PDYjjAlopVEH42hgMWuFXlmG8zMGp5vk4z89PagTW3u47MbQUxgH8LugQYS4T1EiwHsAZQfUE191fxx7PfNdJrZP0DsATJK4A8CeEURLnBTRCupnk1VbWT4zkQX46ZichzPMBJe9tds3nL6ZITAuq8QghkSG5zBAm4+p7AI5nT3ASBlWyKsvyFuPOmAv86A97QtL1cbXxYL29OfiZe4JHSVBSQynNNGNDjHHbUXcEVJbS8BVBzGXvsRAIJt/qgp8pvDVAUb5VvIBH2HMkMyBgZdZB1thbfUoiDuaUT8QfoK/YfSjTC2FNvKvipM4NOpcv8QHfGsl0QtiQK3PRqsVlnK/vrHoUvgkzRJoubhlOb7LCxlIoDQOE80/K2tC8ytf3uR2Q3Zpk7AdU2DORKUryQaMObv4us8a66k0yjqM8qcLh745jHuPGvemVBAaygypPDfw17orWLCHMECUOcB9fGUgtdoUDpXRpPhhvzQZYKExJg+yQS/jSbtW7bvp4KV2a1Zx47SmFEseU38AX+lWTUmoifkOoSyJKVJhiUjjzL62o8bnZ0JfyxLlirhQlURwsIcFUV2tFpQ+4fsf0uISF0bYPN9FcJ3HWnsSp7rbKa3zAtdumDwu6NULrHP1HM54NmOCR99orb/MB29+fGpJwb3gswmIe+D/lurSQgf8DBPFt7+NV3kkCaHt3uk/Sw9GeSJjL3MzOjknxAEh+suOJylYf8MHuqa2w6khUmxDFkd9ZWDiC9mTnzvWXPOsDPvS2rkxr+hFRCyleJWgRxEZA1QVBRNQ69CLXdaQ5J2iU5C8g/4Z0mk7lx589xTMF59Kg802S2b8lvVjGbbEWjwK6JVyjoD3BUUHbHTpfftFRfpBkrD4WBQzTu+LNi00Zi+cBrJqRWkPBqs+Ysje+ea7ix8SSzBw2SrHM2TS9dnEpiE7vsVx6eujF6iI6HO/0P2hiD54CFSWHAAAAAElFTkSuQmCC"},31434:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},16065:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},69035:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},40181:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},17149:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},64813:function(Dt){"use strict";Dt.exports="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAACgCAYAAACLz2ctAAAAAXNSR0IArs4c6QAAIABJREFUeF7svQm4bFdZJvyutfZQVWe45w4n9yY3MySQgIAEEXxQw+AQQQThKoraNo2iiHP/2t0qra3t8Du03T84YPtAo41iQJAoTggBGQQSQGKYyXTvTXLHM9W0p7X+5/3W3lW76lSdOvfek+QGsjXUuVW7du299rve7/ve71vfVnhkO8MRcGrvIVyEJhA4RMf+BHcByp3hQR7ZvRwB9chIbHcEnMYhBIvAfBzjcQEwVxhYW+C2k0ewgmVkuBH2ETBudzz9fo8AcMvxchrXwew7iIZdwC6tMMfdA+DCAmjwb1vgLmXgghxJUmBl5Q50cSsKQNkzuxVfnns/AsBJ9/2QMwCiA8C8bWHRWERpDkegKQub2fxgGASNosiR5cWdcRzDFVBRAJUXyJXD+vEAbXwKKW5F/ggrTp9cjwBwMDZO4RDCfQliPYdWYLDkFHTmaFYBJAkSpFA2sjo0NQD27vSHiEAgciMYhR0DdN0G1ldX0cfNSB4B4mYgPgJAsl0f8WIDjbkQCzBokenIeB53CYB0MHJ1APIzh7QE4HBwY0RAnRUdsn6B1VaA3rHDSHCzyr88De4jAByOwCEX7QaaYYCGM1gIFMLKzHq24zYEXvXF7QBw+CNDVgwVNM2zs+jkfXQfYcUvxyDkkDNLGRbMIuYooRgDsZnCdluAbmTeajijmhfRB5zGgJPZzYOR5pmWOnfI8gRpptDbyLGOG9VmtH8Z0OSXhwm+3jX2X4JFAzQyh2gy201mvE0YOGsAVkeKBPUuiCVo0QpFoZHmORKjsH7sT1TnywB3Q5fmS/dindp9CIsqwkJIttMIEUCNsl396rdJQOcMwCEQ+RdZkUBEDpcb5IFF1u6jvQ6s4UZVfOneny9VE3yDiy9YwpKO0SxyBCFgtgbeNpmvQsKOAXAzECvznKUoNIQZeyfXsIabVPdLFYhfIibYs12zgV00sZGGdhYDp8pHsltt22Q/HmLHAVg/r0j+IaxYvp0BhQmQdztY/1JkxYcxAJ3CdQgOPg6LucMi/TqCbsBng6BiFnecAfgecACOgrHSFQlGpeFSC2s1eqdWsIKb0PtS0BUfZgB0CtfDLC+jUURYapSpsboRnc1244A8GwCGF2nVaOT5ZB1wFuTP9PNKV6xYkd93Fv1EYeX0UXRxs+SgH5apv4cHACkWtxFctISFzGCJbKfKDIXAZ9tsd47gGzDggwvA4VkPdUUBI6NooEgTrB+nlHMCGW6WPPTDpjrnPAagT40tA5FtYlessSA3osxQEHhnznYPdwAOzz+O/XBUQJT0X4Fur4u11QQ9/C2yhwMrnn8ALAsBFoEmg4pGjEZG0OVwlbE8d+DVjfYZGkQJQh4qBqzOtTLGKUbMcwBFIBqDPO9g9f4+OrgXGW5V2Rle5YO2+/kDwBtcvDyPEHOYjywWrYNhTnYAvLM2s5PG8gz9vvohzisAVifG6xk1zyyk4Pj1M7QBrJ8+ivR8LIh4aAF4yJn9DTR6fcQsBIgjNAUaNbY7e/9uq0n8cAfgwPhOvEjJL1ZSTgBFvuxppKaH9SxH/8QJVuecHwURDw0AD7nm8hx2BSliHSAOIhia2aoCpQKdL25CWRiwU1bhHMBXTg5jwot0GDTyvJhYDbNTZ7r1ceox8fQ9B2AMoMIAKqOUY5Ew9Vck6K7ciI2H0ld8EAHo9O5DWNBNzLMQoGkQJwUUo9kBJMYE41ny8Znf6HME39kC0MYKOnkAItPtgVAIsWRF4c6SFfMcuQ2R2Db695/AykPBig88AGupsSBHEAQICIM6200D0s4CcAfANxGAG3eWt3fKZVRXEQM7DsTtA7A6ucqqiIkugUhWZHVO4dB/sFN/DxAAndrzUiw0IuyiZic5WQ1N0E1ju0l37+EBwM0FqXItNlWlSOIvTfsCV//ZTjLimYNwBIylr0gwpgywCuR5hrwdoL3xRqw80OZ5ZwF4nQv3X4vdcYh5a2GshpaLTWulnTPzsueh31efHTmcMeoiHVaZEJbkD3jFe6wEWG1zVimlnRvsV5njar8dMc/nDkQxzxGFV+8rcv1LP0f35P04jZtV/8xdntnf2AEAOrV8CHPhPHZrhwbzsY7lRWcBuvrpnpfsVzKZs+GFYRS2irTvnO3f5c97CIAh4OpXRJDyqmJs8gfPmRHPHnzjEBmJoMvDai7EKpAnBiurHWzsZJnYWQLQr5G9KMCiNliyEbiKzG8V8LbJdJPmyHkLPhYFWGe1ig5KFJwVyrn2YE2IG2O++rV5BuQWgxNUlRmdETCeR0D0ZwpELN+u4Ztg7OdonzyF0z7bQtfi7FN/ZwBAp3E9NAsByHaxQosnKWApHbsqLzubeKfvsbPgq53cuZzUuAlW6qAKm7Is0xbtkgGZm1XTxzOPBIBK+9dqG4CxbobPCYg7x4bVOU5iRZppVyBZIyvehs7ZroWeDcCyEODAPBaDOSyZAAFnLx3WnWC7+s0478E3YEB9UJlmcwSAW4GvusgShHS0Bgwo5fk7yYg7C8Ax73ZYq1j+DIOXrA+baqyf6GANdyA/k7XQUwA4LARwMRaiCIsSJdFsjLNduRaW4vG5bud+hPoZ7JDsUh2StYZkqTx2pmLAPFdWd4YMuO0BiIAaE9bBODxEMho5b/vY3PGBA2Fl9cZZkfig/5/k6PWB1dVj2yuImAzA61x42bW4GDEaUghZAm/qLT3vwLfDprcCX2kaTdG4SAVkwARWl0FIXvl4lfc0ATEBpZlqqztWQ7M8kRnPKErmcX1ueCe3OhOOW61BBXcZQZPRbYY0tbh/1iKryQC83jUefRUe1S2Qj0Sz067oHAG4s8y3w+CrMyD/trDCgALADqzO78II+MZ8QZpdAq8yvzzGAIhjIJnJitQTy4zKTD/xwQFgNTxlfD/IQQchzLrDvatvUKtbTYSpALz0ClyZZyx2TOSgU7cvdfDR2S51PP+aOOPMhSpYGAKwHBw65gJ/Def/jpDq1EU2Kt9PnWemmi0hMCm+DYCeKjHPImSX21jgwncnm+1xgNZZ+dz5cAsUDA4uQIxjzDWg13Lcd+4A3Oq8v5TBJ5LKkJsJPs9kzgXKHLBBswkxwbn4gBX4Ng/XEFwE48AAD0BZZkjGQVYH4AQgzgTgDpvg6hRmgfDBA+A5go8XdF6b3pLNeJ4D8JVRMBmwAmCA/O4h4/nbJPtP2JQORySYISAnmMtJgKwz43ZYcaA9njv71Y+wFQgfNgA8b8FXE5NdxUI1H64ywQLAPFGByu8aB1wlOtdN95Z+UA2YFZhF5trCBI+Y6O0w5A6C8aEH4Jc8+8VqBHy8wYNgwptgZZotRsHGFXdX93+Y7RiFWwVQMqCz2Ux2HAHfOHInMN9W/uKIqX4QQLjzDDgpCPlSBmDJgALAevRaRa55JMUIFkGTwURQ5HfVGW+WsRs3w9X+AswoHHx93Mc7V1A+EECcxIQPPADPS/Dxvp2l8FyXMyrwsZjCtjdJJz6aTVEwCEGjqWziaIKHINoiFTeGzGlAFB+Sv1/bJoGRQc8ZmemSOeVYDyATPrAA3AHwnTfBxwTgDW5+Bb6acEzwkaUInMIW+13QaDqXKjLgRNYbAxHo56UZhOX4usU2Ds4KkARP/e/xQ2xiybq5rvxZHblhIcS5yTQPPgPuAADPq+CjHnBUgOGNIkuU4Ks0vAp8jFwlCkZjYIIFCOOA2wSwSZFuDQAVKGtmeOBbVpUztWNW+eNpgJxossf8x50A4jgIHzgG3AHw7Tz7naHZrVhvCvC+9ZnB8iu+I/71uaZ6Gm16mrm7+331+cPH8ve/5R9w8wf/ZX1dqobrAFS5D0ImgGSAlwE4mQMeY51Jkk2euro/OI7lSRrgVoDcZKoltYgHhAkfAeAk0zZmbnmzfvyl5urLL1aXzTVwgVJWray5e9/9weKT7/5QfuqPfq35wxfvNz/inPO+GF07h/T0qn3b296V/e+/+Os+rCIDdhFYbOoRPZ0Nx1Nv2zCBFUCn+G2VWZ4mTI9U2pRZmvGlAufqF06qmNm5TEgVBZ8jAz6kpnec8WyqvvqpZtd3PjN++sUH9DN3L+KbrHWh1sr1Enzsjrvzt16wT1+zd7f+XsGfr7r0kYFD77bPFW/42d/M/66wXTcA4JgJ5hJI7i5dHcrt+769dcVjH2WuclYXn78rv/MNb83umOgKTgsS6my5jUBiIijLtN9gUZiI67DnGpjUl9DubCruHIFXDfDOAXCbZrce0Y7f5dIhf96zgguuuzZ81LVX6G9dXFDf5mE2aRuBoKDwvhN436v+29r/yHruDllwZKFe9pLFR1//VPP9C3N4mjFY5n55ru7vJfhsGLgLGhGuGTKqQ7ePW2+93b72N/+gf6u8XxeftwxTxj4kGAnOiaCss64fu/GiWGnOvkMgfGBM8JkMxoR9dw58PPgUAI4vBKoHFWPR4H//ydYzH/8o/RMmcI/exHD+FtU5Dw4OCkpe69vpVXfrL72m/cp77ilkwc7v/teFf3f5QfNTs75fHYuv3O49bv/olT/fe83UYT5rYI6m/kaPn44Akb0Hz9UUV8c/7xjwwQCg07EeyBRkuEkSRDlCP/SS6DHPelr06kaEJ/m3KgM7mQHHP60DqNdzt7z8v6y/otdx0s/5D3994Wf37dHfVUF4MsA3Q229g3e98tW9n+kmzgNh2laBscpVzwTnUNyexrKs+eRnbA18rqaYxzmvALiz4BtjwAm+3QB4E6pJWLX7ml9o/fjyPv0yOHkc1wS+2wzHzQZ4yHE8wP0n7R//6M9v/H8MPkID9YbfXPrTKHLXVmryJgAzpuFSnnKH6u/7jrvX/egv935vlsGZFXgMImhKO2MFECPHroG36sDKRVezfn/W51/CAEw3r7mVrEWN8caAV5VJteaU+d1XN359fk7dMG4CxyzuLELcPP5a2Q99uP+K3319/6P88BUvbX3Fs782eqOztoTY1iZ9cD5K2w/dWrzid9/oj0O/ctOPTWW8zTrjeFHE4FjjDFs7Jtt1nCsLnhcA3HHmG9PLnE79ovfK1E5ivNoN/J1Xt151wbL6ockWd7ORrcW9XoUZYSwHpRTcQEVRyAvc8x9+Zu0FWeKfLfcHv7Hrt3fN49li4MvvThVdavjsJ7jtZf+pK9H3xK1uejcBlDqjD4imm9vaWdSBSF2wXH5xrgHJeQFADsCOgbAEn6j+42w3Vj1cMV5d//ruFzQf9c3P1G91TGSJrOfBw9dJW/VZBbDx/ad9/vHPFD/6O3/Q+QCP+RMvn3v6dY83r510/FnH+/03Zd/4wY8UJ0fNpXMDcI1HvBXoBpPRC82D75fC8/i/R6p3JEfM76TI8+icWPC8AOCOgK/GerMYT9aplpFv5cRX//6dn2v+9J5d6vsHBm3rmKMUnic4aRV5jFNiGcScOGXf9B9/ZeO3eKMPHDCN//dn599H0G8C3HhUPXY+H7rF/cAfvCnx0swZb2NBR/37BNgArEOAChAHC+U9E55LQPKQA3AnwTdSGbKFmR1X/Affs0q97tdafxsEODhktMlBwDQTuQlv4zJNyabtrv3wj/7Cxg9X9/x1v7H49jDApeMYGjfJ48e/9bbiVa95Q/bBM8aefGELAI4fsGJJMb8lCEtT/OULQKuUY1OjERNSX87oR7HOeGJWq0qRCYLs63517mMKLqwYcFZUO/PGT2HQJFWffOXPrf/76vu//2uLfxqFzovP9W1rlxMfuKV4+evfnH2s+sqkapiRax5bpOSCcNj6o/a79cm8Seoh8AJnh0yYutyGZ9Vb+iFlwHNhP6f51IEy+hNTMQq8SWaWu4/Xzw3G3Cq1uKiC3/zPjcHNlP1rUrPsO4uSxj6f5kOmmfr8q35+7Tur3//dX1z8o1YT152pT/mGt7lv+uCt6cnxNcIV6LaaIENLEA7GpXJ5x783CYRSpFBKMblFdjYR8cMPgGQ9CTBK51miuGHGY9KKs1HTXKahJlSWtOZgfvu/ND8qAcgg5hjnwJmcN2MHD+k8wx0/+ur1F3tMK/Xbvzj/2rmGVNZse3NO9VY37F93euq+T33effAv/z75/La/PLLj9k3xaLW09xNpkjOL7Gx0wQqA62u4d+VGtbbV+W9vXfA2RuCcmW8C+MaBNxF01blNKmsq5Yjf+aXm26IAV1aptHEdcFqqbRuXLbtUx0sS/fGf+qX1l1ff+53/Ovd/4kg9fpOOM8bBW53PRht//9t/nP7iidPD3p6bz2sK2GT9Se2zrSLjyoxzd7a+Jgjhity6MzbDDzoAdwR8Ze9ipKO53k2gm4aKEmyTzPF/+8nmzy4tuu+aDqhZXuH2Pl/fwDt/7rfarx6Y4Fcv/I0xbv/m350lTNdVSODYKfzxr/yv5Pe3DbzBpKzpgZNE7foBawGJTCqf+rYEIIG43cnI/XYUgBtJMtL/c/xEzgV8rOBgwCHPy622NC19l7KDQLmAG9KKbmyrr92tm/Cx3V75vc1vvupy9+sD3W/MCTxXBqx+7v6T9nW//tru6/jvRkMFv/EzC++Bds1xH3D8MmbB2znV/qX/Yb9xdW0CG41nRuqa3yTQjZFlGcB7zZBDXGdABacKl9c7K28HiA8aAM8FfBJwWMhTw6uLGiyF5Kr+kcGrRqZW+p5mcIFfJCTb+MCXJvkl3xY/8SlPxP9SqnzU14QgZKZHOGuHEtCMIT/1efezf/xnnffxlG74huajvuFrgjdAucawoHDSCdRSLUpZCYokp+Fxwf/9+G3qlX/69uIjAwAMxqc2NttAxyCiLrX4TZOBzMetNMNauzxPkZ5JMPKwASCf6ysDXA3mpBlbAnRatwEBIL83wQe86nK98PLvid6mlNtTaW3buEfb2GWUQutRsbXq5K/+Qef5q6f90yd+5pWtVy3vVt8/Wr4wHdHtrnsvh2S+pa6vToTnfvQ+9z//xx+lfzo8udlBhgvqa5DL/cezItUBx94XE1zAKQObFy45EzP8oAGQ535WLGiVCsu2vhPBVwfdpDTSyOzfjJdKivipH4p/8IK9+KHxYoNNskhZ61fV551xccIYnm7/tP3JN761+36e2XO/qXXN1z1Fv3FwTL65hc09uYI3NGJ32XxLPbMeNJ1Ywet/6/fspkqZIcjGAZkBNhy6NjpzYl+n+YLj7zMIMbAEYZki3mYl8IPkA54V8MRUer+Pj20YmM4KQ5PYbio71n1Cal5+ttclhf/8Y9F/n5/DDeNR6Kb7XzlCpcmblaud9fldR+yvvu5Pem/j+TztK8ODz//m6O0j02RzdcMg/feFO/ELFx7As+eauL7yWcm3a2v4y994rf218ekm110BrV6IIEY8c/KZgI9bDYCzgpLSCZAnxGuXnIkk84Az4FmDrwRgEKQBBsHF0K8bmFkxqRNKkUba2Y4GJZOi3594WfyKfXvwg5sZbzTKnCWTbKpw3gTY0dTe7Z8rfvxNb00+xMv97hc1n/64q9T/HPyGzJIpBYHO4Z3vsS/8uqfrn5hv4OurEeC86PbUP/7qa+zPz/QPBkHJGAPWTe20g4wvLS3zwzpA/0yi4fMXgKXpFbPL/6Sta60kJS9ZsZysVeBbX3LoU27j/VVofjZHyU9+ojnwbc8O/hLOxVuZwE063BjAZpnkOiMWFidf8/ruC0+edDJPf+ZVrd+an8PXbRmElIDIcnf3L//P/Dv+04+Ev9Vq4GuHDOjQ6eH9v/Fa99ObsDNgt2rQJtQRTvOta+VYgywUVReZJKGDy5QyAYsaU2HB3OUzJ8ADLcOcC/s5ZCZE5CuR6+DbgvG469RUW300KLoOfB5WAvto7rtf3HjO1Ze5XxsssZwwgrMycZvM3lh9X0VoWqniU59Lf/rNf+ULCf79S1svuOwi/Jft3DTuc+yk+v3ff2P6hp9+RfjbC3N4Rr34pp/g3379te4/DI5VB17d1xMrUyvHGgcf5yqXuNRrAat7QfDpuuXxE1u7oK91kmy3TOsBZcCzBSBnWGgh9XiVBDNuZicCbSRDwm/PkB0G+w9Z8qXfET33ioPqPwPOrx4ccwJn6XCbADShmMAW6vhtn85f/Y53tT8eREr/4HfP//C+3eZ7BfizEO6Awql7f+9Psu9cPZkmP/2q1u+0IjyjDgXnVPe3fz99di8vReFx0AnwcgUdDAtS6ydeN6/S+cEfPSgtUCbgC1XgoHJGwDYvC34Dq5zLTOD6WQ5+NFOUfsAAeLbgY+DBhxSyxkVMbo3xRjMdk/0+Gcf6TB6v+t2kiW0G6TOfrq/6quvwq0HgLp9RjLIdvI1Y1G7Pvf8tf528+vCRpH3JxWb+JS+c+8MoUFdVFaGzZUTV/8Qn7Y+98+bevzJQeOW/C35saZd66WBNSekSfO5O/OyNN7mbR06QoBvZZI6Pv7Up5TpwfUw55hYCPpT/FjepXAxoC5fQD6QmuB0zTAAy9On3dyAXXGVCzhp8JeOFGuEAfAaKY7op0KgGY3wAS/eOvp/Kh0sNN/uCo1/kvvV9vu055qnXXK1fs6UOMtFebgUhlb/7A73v/MgtyWHevB946cIP792tv380zNmiAtap5NNfLP7TX/2dHdT/Petrgsc89Tr9BjjrWaik7G5P/fP/+mP3H/2EHAdedeJjAJzAfAPwkfXo6xmooCj9b96b6m8aZOQoXNA31vVVkGQZomJWgcIDwoBnDcCS/ZxVAS90ALwa2OS9mVvFaqPyy/Br1ft1PayMBMUfzKRNwY+9ovm/G7F6wkhJ/qZFG1tzVj11d3rV/Z8/ftPG71WT6eXfs/Dje3abQ87ZYKArjl1b9f3CulOfuD37mX96b377YPVa2cDyO1/YeN7FF+pXKI1Gnrv7j5+y7/iLv0rfmqdctVa/xhJwIxFsDuSBJ+CRTFMZ8FXAK32+wIXCfANN1jOfdtqbYWuDvnauTz0wQ1rwAahb3a4dZ8CZ2NhiB/H9NEKbq1ACAwKP5fN10M3UpLYVfE05C94gft8D9DlfHz/pidfIWo2g6oRwpia5+qFu137uT97SfVm7bRm/D3yvJz8pvuSrntD43lYLz9Da7Rk/MQe1cepk8eZ3vT9/89F7i43tje+40DwFeDyYBBjBAHwjSsMY+AjmyvQOzK7JFWzAB8BJwKg1EgvX04VLBIA22rKVx/kDwIr9oIxjAFIxoEyr6Vrf4IZslWjfdNcqkE7wgWTfIYhfeIP5xssv0b/EcIifzATghCil03efecs7TvzG6dXGp7xJnMziX/O0uauW9+LKZqyWun118r7j+OLH/zU5nGeznXl/iSXwNrV/q19neW0jkW0gVmXE3PKNUl6RQ5dBh+znlzEpVOBzuUIQMBfCp9r3rXI9SjEqTQua4a1yw+cNAKvI12peNeRipqaCtkcDw73qHQJ0XuskMA7AHKBZG1ug/eLnqRdedGHw/wDOzGiMsOnM1tbte//sL0/9Yb/jch027tneqc/O3Y4ArjrozL6DnFulueV3ZP8cbjxKHtP3vNwygf2kw0yuYALlbBEQlFqZrhUTjFTpJPdyDB+YM+lhOCnieOHcg5ADV+BKnaFgEHK2m4MyYYCA5lcYsNKLayk3Vt6OPgimtkKrGtCtWlWMsdvmc51eT/m0pzQe/RXX6v8Yx+5JI+t+x0r2hwSoklMr7vVv+vMT73Q2bwqJRHODJuWerSb5ouVZDVvMTPZ5wxpIs9p5V+/X35M5vdkMbzK31YDI/qQ6r/VVfp9UvVSBh7AflNMB4ak1/XZHd8l1xASzQnoQiCT2/AZglfUAjACwioK3ieaRpYKDmT325RFgTvMTZxf03vCc6DnLF5hntWJ3nVLYNW6SrdNH1jfse275ZPIXX/iCO+7S9v4BAMP5UQakmOHt+jYCqymDQcDlVf62diwplfIglYVbCFFf27sl+CoGrMBX/XQluzDydbkSU6yUANA5BIYADEzbpoyCkUkgYlM71APHWfB8YcC6/2cQmExFmcpKWWFs4C1vl5+hk5JqI2H/wCTVAReUjjffm+Ab1X7u0kv1rqc8UT+/0XAHVtfwb+98d/F33mnPxHx91RMaj9695A6YULWSxK0cPYK7PvuF5HiliS0v67mnX6deFobmgpOn0s/8yyeKv0g69RTVBBegdk6NpjLfekP88t279IuLwq6cXnV/9c8fyt9+8kTRGRTljABw1AdkoFA1ExIgTjO19SHm2NbGvs5+ucuV0UGp+eWawA50oFwO41xB7VY5Zdo2cz0BoE2zTIe5smRAbucpAMX8euE5sBax0SqsRM7B2BScc+XNr96sgXESP2xiRgYXI37SZABe8xhz8AmPxXctzKvnAq5RHTtJ1Uff90H7i3fflZyeRc5PfYq55nHXhr+iFS6q0m+s/1tds2/5wEf6bzt+f7Huj1FF3gElPK+6AHj8tY2Ln/wk/HIU4bEjJt+qzvqGu+m2T+HNn/lc/z7ZX0A4zFhU51YBcCCZyAehN63j20jAUWY+XKjY/oV5gRHRmZkPgg2KnKidhTYq4FJWJyZYuR5zwtq6zEsx9SBqFIQ7EoSckw9YlVzR/PoAJDJKhSJwlhW39Vlc+SG5zfysqoOwkg1qg7vpgTDCYCUjVmAs/aWnflXz2iuutC+di/X1rox6x4MO59TpO++xv/Te9yXDiuOxm/m8b2keWt6LH4VyE6MJB9Vvt91f3/7p9M8//Rl7ZPD10u/7iseFl1/3lcH/VsrNTwe6Knp9e/Mdd7o3feQTzkfX5TYKuLqJH2P9ytcTeixBWc/vWjGvLjA+SuaWFTk5UNhPyuUAYxwCp1SolMkJwMKhT/DpyKVZnuZeiimf3DnGgucFAFlwyguxwoAqNkqsqxGgEGA6ELDVgZgXubi8w1EPPSDrEdw0IA5A6Bnw+q+1zzhwQH1PFOJJmzsbjEJAfD6l3Nq6e+NNf5P8UVHlWwHMLRbhtzyn+d9aLX391F4xI+llZbs9+/57jhR/9uEP55+o/9JXPL5x2WPR0amQAAAgAElEQVQe435wrqmeVfmZcnkTihu4yP3E/e7P3vWBghXSm7dJPmbFeBOYz09sDz4ybBAEg0p0muEBAJ0y1GidRWiMX/MwAKBxmXLIFJJiGAlXpzZkwYccgJRfWG5P8DH6ZQCirYqdQYAid1LuTRmlEAlUepHwMvI8R1A58fy3JMVrzng9khP0jnYAbczlwdc+FTcs79XfZQwun840kz+hOX3rTf0X1n06Fha85EWNv8cIc81UDj2z5PjUseP2z/75Q72b89wVqgicM7n6hq9vfcuBA/rnB7ne8YXytdPr9dy73/JX9hc2nXG1dmMciIQYJzi3ivk44oJ0v4KU7DcQneX9MvgwUMYGQa4K7QoVaW0CrZBYm3kZJgjS6QDkgTwIH3oAVv5fKUBz7ZExiF1RhHwLLmdJwkQQyhVQGii3XLGqt/x3LQoc93mufnR08CufWPyWMe7SWbneTf0Bq98q8IU3/2XyfapwDqZpZVlQ0Q+/68XxPyjt5qrU2vgqulnrjG2h7vqXW/KfvOvu/vEqin3pofjdTpXVOWPoGq+4fu8H3POOHLErlfsyANO0GTYOvAp8tf0HDCgUMIx+y+yH0U7FjIi1Nn1nXbewWaJMkIkUM6IF1k/Cr2TcMR2QD6xOzlQHFP8v1aGOtMtVaAMErshDo1WsEUQ5CsrtDD+8CZ4GRO5R+XWVWa6AWF1zzeR82w32F5ot3CAfzayvmlwcoKDsez/onnvfffo08tU9ebpx0f596srnfMvBnxstKJ3R8G9CxXO3q95x01/3f8UZFTDifsm3z/8dFBYnY2j0/D70Yfvtdx/GsZF9K6abBLZqxzo71oIhRr0SiLigzHxQ+5Ol6MxYaaMRWKdiEaG16TiX9VmQoGmCC+TTAeh/+CEHoPh/ObQEIDTBLg+0Ug0HFYnKJBxnLJjB4MqraSaZPmF9mwZEAN/+fPPnQeAu8ZN9dA3a+E3eqj/g+pr9+7992xdvsnl3j7PZ/Nc+51HPuuSKpaeM+GybhOrq7laWbnNT8/ZGeuff3HTil4Nw790uCjde9PzgXVp7AM5aN/yRW9WL7r67uH8TWGcx3QQzTebLbK5GwCenq7QEH5T+VCGBI++T1rprXd4viiCpA9BXxVRSzOiZxYgQNuJzK8diFHw2DCj+X55qhvNWR5KC46zXRd7QKmxA5bqwdO+ECuXBedKRU+5E4KvQyuCEPmFtwZoH4zgISyZ44bfqG3WgLvLHmdWSdJrtAnq9/Ng73vSJN1prjVawL/i+J/9AHAW7truqbeKRlcLGavfoO99y+18gaGY6mD/+ou++4he1spMj4jEGveWWYjIDVr5dZWJrLDcybjUmHGh+FMBKAAv7FSUANQJnVegMImVN4lzeYUFqoYYA1NaXZQ2j4PMRgFHkMyAEoFKhdnksAETO3KstFHIuwfYD5RifWQGgBB+5o041CE4qJqyIZWCChxHztz1Xv0UpHCjN+sQm4NP6S9bx+tnbjv3DbR+9+5PVTzz7+V/x/N37mlePEPGslr2bTDDQ3ugffudffPJGrZyBDvDC733yK4xRAz1y+pQAPv4x9aK77y2OgRMyKHXOcfB516OmIGzOxNCnE/1PAOsBWIHPKKMl+HBgHi6iGabvZ4Fe4VymtUkU79l2TPBDx4Ap+LgEYcAKgDTBRgVGWvoVTe0QEGyFDzWskhCjBGBVYDAeHddNcTWbRbsfAvB5N+i3acWHw2xjm1LuVxSu98433/aHWcY77bdrnnTRY6954oHn1Y96xuuKAbTXk8P/8Lbb38zjWDj1wpd+5Y8Yoz0Ax85nnMD/9ZPqxfccTo6N1AHWx6E6uS1yzT7FBiemtwJfVQFdsR/JQqvAKbCTg6X8orRLCgYeBKENMqW34QM+1AAMkRroSA9ywE4ZMqBTqsHZRcBZjcwLzqwEIhglk1nmUYemuLA1P3DcxNRQccM34+1Gq73eGm3dh2Caz3Xs6Mat//Leu97DY+xaas6vnd5oa6XUc17wuJc256IDgycpjTHc7JjHob2RHfmnmz7z57A5yEPP+47H/4gJtRQ0jLsM4z7qx29TLz562I4GIePWYIIu6Ohvc3p79W8gPFPzK3924PtJ9qOAMUZFrDJQFrnTrqOUSz0AGQG7hw8AHWKpAaQGaKgHKoRWFQ1tvdmxcCl19wELlqmd8YCEA1eUEXPJFpuT/Qrum75RvUNr7PYDO9rFfhPhTenx/G8fu/etd372pDx88LFPuPDaL37m2Bey1KZ7l+eXvvr6K15qAuUBM77NWnSEEoDv+JQwILfnfecTXmmCEoAzpsxtnwxecvje7H6ZqH6GDZWfiSfk3xwArzZxRXml6fXOjwegB6TRzFY5xJrmF6Znbd71/h9yrUzK0Jn54MlC9PBEHqIgxHduoAkOSeWVCB0gqACofWfdJlShC0s7wCfzlCAsWVAsEo2EAxUc8QfFV6xvY9EdxetnfUPxN1CulDW2tmkTOxtAF//wjs+8JusnUj7z+Osufopzrrjt1vs+oZV1Vz/+omsefe3e55aTYGTJx3bWFXc2kiPv+ZsvDAD4LYeufaXWHtCzmph/8D1HX7fRXvi4jncd1oqaHPJ6jrk+NAK6Okirv5mhLsFXglPSbvKYQka/Ru5ZaDVilkE7FqGyBAvCgLkyJjuPAThsGzIsQoh9FqQCoMkD51SkoJpM83AArRNKzyay4EB8DhxBKDeqfI9SAo02MyUBMy55Hj3zOfodStmWDO6UdbtTnsog96vfy4+9+6bPDpr/PPXrLnvW3gvmHv/Rfz78f08fX19VWkff+IJrf0AZxcz/lkLPpN9vrydH3vd3QwB+84uufaU2HoCzzvdD7z78+pUT63RTCtPae1TFe+8yKj5utet794UVK7VF/TJYwyII/nOE+fgGSw7o+5XsJ8GHaLWIGGw4mLa1eaKo5hZBXkifQBQqSDOdu/w8i4LHARiJDONyhAMAioNbxMpiqAda5Fa5pFxNMfAFKxb0PmIggrREb/QXWVctJhyRzYqWzXu7kZy68FnPu+hXFCtuJmyzl0UC7bXkix/4xy+8vSrnesY3XnFobjG6NEvyjY++9+jfrW/03NOfdfkzdu1uXDTLyZzkE/Y2kiPv+3sC0FfKfMMLH/dKbTDZpI9dwwffdc/rOmvtdYbAtkibTiEy8dJx01i6C2buuIFtW5jewOyW3w9srkvFb1AGN1yLo4yAj/keZjygopL9jHXoSwBiXFYw6lXMzrlc6SwXPxCuyPT0Lgk7Y4IP4spcbScTMtbRdFCGNcaAIscUoXaIxQwbKdHP6QuWs9hHxBwS65gf9tpgmTMm8Dhg1hYta+0ikrVlm67sd0W6CJfZZ77g8a/SbPaxDSF6nMFoQk+daH/yYx+4/x81ipD94q9//lUvq2SSJMnbt7zvyHsuuWLxkksfvad8wOEQJbOCHu7ZbWf3fuif7nwLrC2sU/bZL3jMj3DFmyersV41NQBai+Sf/vrzr+VASADDSRkECkXeUi5vqqDRVsHSvSpaOKJ1sGKU3iBgMuQmKKTEioUffn1Ize8rx4nWVoDI1JvWYAsT55zpOOQ90E1SQV4gYx57FID02ac8Nuz8BCCjLBQRgxGtggb/RkEjgMxamU0iTAsIK23QBAJIV6BR5HZB2d4em6zstfnGBXDWsJ+7NUaA+qznPfrHZX3HWW6nT/Y+9YkP3fd+5Yp4fine91VfdynrBsujKWRZ0b37c6c/+ejHLT9tG3H2JhPd3shOfPTme/7WOaRaIf265z7qZVpXOuB0CJ860fvEv3743ndvuizrnKaKZ/PQqrBJ0VSHjZMm3HMUSp/QQbxqjOlI1iPPjavKr1jOSr/PyzJl9kMZpxErp2ISgqnML1NvCIo8zwrlgkIKUlmKRQZ8wIXobTHg5pZxk3xA53JWdhMqIXUmSctRa6Igpk1W2Dwn8IxmIxxHUOa5RZDn2V5VtPfZrL3kbDqPImsC1kEP16VSrOLNuf5brvxJJ4rO5m1WsQA/Xz3VO/zxDx6RjlZXPGbvlZdfvecp9e5Ukj/MXaqNiiYxaFWgIL8+aRVdOzvxkZvv8l0NlLFf/01XvFAHPNYkj9IDsrOR3PmJf7n/pjwrRJekJLQZiKVk6eukQwsXKtXIlQ46Opg/aaKFoyoM7uPT7DxniSIhxac+Gcr7gVDRHxWpRrct8h7lF2E9ueyM4QqPmUtFNO/RFi06dpgBuWx18uqnSTe7DkCrfQ3gAIDsSOIU0x2RVmqu1KlyglAukEGJUnNpluwr0s4yis68c1kLReKHi7Exc/l1xb88iac/57If1kEp7M5KxU0oFkj6xdqH333P3/NwT3jaRU9b2hNfWj1PddZzPraT+ttYTe79+AfvlaaV3B77xOUn6kAb5hY14zGlC00lTimbpba7drp/9P7Da/dMBB0PUHVGYC+Y+kYQWcuWLyEUq+3n+0o31nU0f19gzBFAr0mu19ISqZBsaI3cj4ayLnfKbDD3y7/F/Koshwut0mQ+FFIRPVKSvxkFFQATi6On/68qq8Qnm6bJC2eud40DAwacBMDpzTInMmCRa6NDLtwwjjNQg10D5llvJsCDKYoi25X12xe4vL9QFL2mdkksXkvFdvR/Kps4AYBP+pqDL2rOhf6xWGMAm5Xs97sr99H33PP2wlr71Osv+1YTINpO6m4S4U3KbBw7snH7F/7t5O1TPAQlE4yysTKJsnmile5J8e6Eax3ogHIwAyGkka1Mt6nCOGcCx6dEaeO0afaUaZwyUeseA71mXSHNmoxhATQFaNcz1m1YhwzK5ZIu5cHZuANZoUUHtNnmYtTRX39oASg6YGpEiC6jYEdnmCY44CIrGOYZFYKGc8WeLM/250l3D/JeBCShKwqllJVaBv88VFsWIdBdKcv1B2VaPBxhWagDl+2+8tKrdj1/MivP6NBcmswjd67dUuRFcdlVe756pPhgCmoGb89IhbB5+W0fOfqPnfW0veWhlCmfcskbTlRprsXt+2ZqvnxtsNVzwfX36+X3zioum+PqdOd06LQOnEMIE1ulG7nW4VoUNe7UYbDuCmsG5pdVz9blki7lqh4xxRlFG4mCaYKnBSA8lYcOgDb2tYAUoZmKK02wYZ1ZAMM8JIOQPE/3ZP32Nc66fRaWAYlRltdrqWk5rXLWxziY0KHoM4rjY7tYvz80N3VxmhPYFfrRj9v7jKULmtfNwstmC+19riwtNrLM9ufmw+UzeZzrVi2AnYM9/IWVj953eGObC9jrZx9L3KpdkToddvkqLd2H0RFjt8lWjEX23mb4VxVo2KzsgOBa1pldUDpEuGs9MOFK3Ahvg9VHqf2xglPl1PyCgut0FBXDPJAsiM6TfCsJ5kEA4Jj5tbE0HK+6nkrvP8olFAu0Ckh7Ip9IJJtdmqWdgy7v7nbOhRYm1iYOWBtjlSsEhDS5RY89Mwopx5dspuRPJ4NQG+WRyVIaE+/ZH1++/8LmY+JWuNsYL3MMa/nKe1F/XjCnxNjmATp8IPUgU6HLe1pP9fGZXOPPH3YOWe46/U56+uida59qryVb+kHTJwyD+rIPkLi3mgNB8Tnx9Rw5xWl2F6wxo1XQpc/uq50B01CONlhSb1orlzcs1DxMXACRU4rMaBOjzYkwDL9gwuAurVwvz3LLKFhMsQjSfC3N8uCRrtXCpOEpPMAMyMcieNDJmo+ygU318yFX2XM9C3O/Tipg9iX9/hU26x2ATUMoaXqjGf46RYwyc6cpcjH1mCmbFGwWpmH9TK98IMvhK82xo4kmGtg/VoWK/ouzTbDEwXcmKG/KWasys0h06895SfXNsmPrdltzlF+ses2MNx73ZtpqR9NgEjiup8zoLBZ+TMrNacWwWf5V+OaTTmnlVBg4kW1crBkP8jvWppbHUU7bImNFZ2LC6HAcBZ9XSp+mMK0sMh24LC9qTXZ8dsqO1wc+MAAsOx3wxdiQC4wGF0sBQNxeA2VztgVBI0mzy7M0udTZ3m4Ol5gKLj1TkaKOTvKj2ZSqb6Z9Xe4sONlUQWGZGh+HRtLm1XI0QZY1jtbcqRAEnYTF4geWvmIJOi5blZtXu/mT/uZ73AiQswFKdcNndviagWklwYTfqf73pK/xc3lEHV/zQquw56BShTyX8WMFUQU+ui66wRvgCxAUK551AB1GXPUm1ZjO9UnacJk/AR1qZfPYKqVDE54yQfD5OIzvyFze0TpIeIcGODdQ/t8ZeTjVlG+AIgoidc5RcMacBGv7gijQDk3qRSOLy/kQXk2fje3XEObAYq+fXJ5n6UHYlHoJ8WWcJsNJpOlTQuxba/tOIbXWUgSNIg3JsdLBydkVR9ok8kWHtA58oJcfuCKPoKgLaYNqHfGITzR2x6qbSj9R2KBQsup11la1+pU5UWNSHq/+71nHeWA+H3UbyIoyWRspVM6VazlsmssE9uaA3Q1ojrnc12htDFTMFdTKWpsqzaYw1Z3hEolyzRwv1HGsHdWLtBHHd5rAfD5QZs0BPZrjrGBxWZlblvGF0wGywCBpp7h77U1YFRxM2SY6sMuH3HzYxFVWUwYHpw/Xcvi1G/6KrAlBvm8UGZqZxQVp2r84y/LdZftr7meU0rxAI5q7ZSaNabZeAZpZ0bFYfKuMVVHogmaobcF1w9Y60iVfuD4GxkoZcBbLkgWRY2ieGSiOVMnMBtUDA4adOGp1H4apl6l3rMbw1T4DRuQyDpGhCmidaJfljrzAtRu0xrwh0kciJmZogXJn+z2tigyFtTBzygWhEUoplzpoo521TEhR71FM1SkTBCcDE94RBvp+59A1CpKHHpR5UTkOERQW93RSHFvL0McJZLhZbWrgMwZAp/Z/L1pO48BChKvTHFaWZfjOcY7d4pQTfWwuKbCY5/ZAkiQXwnGFkXjCpRlkbpF5W5KedcjTwrperovUWh0oLa1n5ajsRKIsnWCwDq3FKhnNLBM/45KsskWY9oNIDTtnIFj5eJUMU79d9Zv4wICS+jFjABn08m+++slZgmC0GmVwgnUGndQisDK/FcvWj1/95ig4x9hQK6iY8p1m3EEfUaoflKFfzSCPVoir0nPnbF+5NKXkB1FdnLWK4kWkERCk2ijDAnauaZenJllfK4gmnAu1MUkYRPfoQB/VwIrW6LoCKckpkvIuHM8UOpqWNEMv11g59ifo1hlx9OQPOXMwwoVxiAt1iAsJnYLeGEungIWiwFxmsSfL8gN5lu+mxMCQqpx1nGJyDXlOhDCoaOfadXMKCZKnVYGyIq1apSkTKI6yJcMZpUzTmUZLihUc21849iehKbYCPl9Q5GMerch9Djap/CYPtPGbVf17kpg7ZI8ytKUPWUads0A0DrqZHFj1iuGdpG86ITiaBujxY3M1zfhmqNlrnx2rFi9Lx3wC0QaUYJVWmWbXDYGTy5yzHWfTnnZ9Osl+mSw75bncsqWPjDtPV7eYTWERtdaBMpokykI674dEzrlYswokJCsGR5XCyQBYjyN0keNEZjw7UglxPZw+muI+3KgGYfsmAO5v4NJGAxfGBvspitgCy5nFci/Nd7vCzYlJJbrKapWAJ0TPN8/TLM/7yDcYyeZwBVV9MrdxKpdncAs76IAdIrRWQWidCZ0KYkA1WG/nrIuVlryfIEEAKIKco+pHkPkSfs5scSWJc3o4fK2x+6C7wnZb+1YNjbbqrjWt8ypPZFrD8CnIpNdUne9Z+5T0+0ogex1omBGhv+ehSFIQpYLJDsWcKve0rkcfjq/K9XtaqxRFysY8ZEk2DpC1ZHApnzFRRthGOx0HVi+EcRTI/dKlLmsZGFrFOkLm+Z02Zj0M9XFjcLvR+KLk+R1MJ8OpY4dxuG6KRwF4vQsuvhxXNANc3i/w1DTH3rywDedcQ/wApa0V8+c3+nQEXZH1+4pMlxN4ua8w44wkAKXPHKed1RYm0Hw6MNNDOpizMBwQBhacpTLJWGykfB8Z71jL4hhxpr0s4yUYim90Qr0qy/cYBddBONWHGsudjhjvMwRS9V3vhm9zq9ivJIFyjcjUL3Mcp15LvTiBWPGVfbCSAeH32NuB7GdkzlP+cnSybSqmWSlKAIVWqu+KtKdVllh5QEhRMqJ1yjE/TRDKpGEuXsyz0/OhMmEjDsO4CjLpdknu3xe1GqXUcaX1yTjA3WGAu7IU9x69B3dMB+B1Lrz0ybg6dNhvgYt6Ka5Os+IgZ45voDdaPk4A9rOsbdtH10QUlRY3w65L4oeoKCgcIq0boaVNUGhaR82jIJPyhEsTSAWBwbA2BKCIo6wZV7pw1rJZBoEveKuCIUqqohaKZszQpcZ4NNOzbu42ITMwzbL/BPM5MHs1l7PEjeTWJvtu/te5XzWnq783v1cl+/wNGNlKId27DQReyQ0ixNCP5mvIgbU0S4WlcpzRQ2IMLJaFuiKY/itSVxQ9Lc56nhpmXlTBh6PZMtb1IBSGDIyeP7irEYbz1HUHp+Qrsdn3lnnmNDLmnrCB2yPgROpw/PAn8FncKsCvSKx2Nde58PIn43FBiAukLq9AXDgsJTkuTVNcbZ2NCIhBNMyvco2vK4o0zTs2Wd+AXePaTD5/ghm4GLoVW5u2nGpQxjGWE6xKnkuk5ahNVY47gzQqjIHWOiSli04l5tiSCaXWozLHPA+OLvlPACjnU++uRX9rmgSwTZGaTzryM88vBeLPjANkKyDXFxBN80W3uchocNNoKERUqOwEPWtBfAVOTmLFIE7MIqM35wrrbOIsyH6FBx/BJOFeaXI5vownVaFU0dMu7QBFQuGWtk5cHb0r0o3F+SgI5ow2lHJGqq2d44J+ncYxPhsZHDbAGjQSRgB5huN3fQy3TwfgIRddvgtPbkRYtgWKgE1bfUdOltgu5Q6XJhmudE5KyeWOD/QD743ZPM+Sfj/poujQLZhTDg2aYusIvGp30dZqA1jOXrEfMnB8DQ1BqJVhzR/FTVaqEPBaKUEj4cZAuRKrCcRRciB4fQ7fZ/lH8/n198aXVIyQk+cVD/FpD/+o/bBEjWL/Nm/V+9WZbLXvJFzTAfHvDwEo9QfU9FijSrHfOW2E+VRAS0KQ5bZInLWpdOBmtOKFe98gykku3f/bDxbdHEumcA49jbRHiabRiFtBEMY05WRXzz8DJuN7vTjEHYHCPUGIVRZhVI+voLDTz3HyrjV8DDeqQT53UxBycYwrWnO42gSIRViptcqwhfQijbMMB5MCVzsH0q8/XU2zSYZjpQtMP0Pe63XaRX8lpX/qFwPWEuSDO055ibKfKEw0puI3etMhoTJr1aQ0RjkUls4kVFG4gjv6yLiaxQJARkiDURkB5OT+wFvR1/Y/K5ODg98bAmX7x9jOnjI1R8wta3hlvZYylE1FviJHaz6XhW6Os0WRQKmk4CJrL2HVTS8j30pTZaPPgYXRyAoTLzWazbn5hjTUZ68Y5AUr2WXhEtUZcYnagcbnGxGOwCHRBkxrla6VPP6L3lHSTfD5Ix3cMT0KrmbWDYgu3o9L5xu4UgdY1D6pNWJMlEWQOVxaFHhMasEF4Q32/WdUUHBO8SFPFqzdybv9XjtN0v5ggH2J8tBkEIAg+Px71Eu1f6A1xWzOYiqsDONE1xIR0MPOMSjiIIiLI1OyKt8aaVOxtR5Y1Q+OI2C8H1tJDyPzfhpqqjLs7aCq2qf+e/5iNvt8ZRmW5zzqA2KiZIJz2JimUQzkpAsXVR92NsgT9vXj5PWpN8ssG7Nvnv0863ngleMXN1txqxkvhAFCybP40/GvXMkI9CONU8bgs1rhHgJzHCP8PZtjfaOLO4/eg3twM1jSNGKGpkdY/KFDzlzcxIG4gasbIfbLAwctIm24fgANpdCwkEzI3jTDgTzDLgp25VIiuRR6JnzJCxTtbtpJs7TrCptb6lSVgu8HQOT38pkNyjlaWqWpH9AnZCDEf3LWScKHPmE5aNZaq7U870HqHHxsXN3BIYtvjYXKz68NSb2WvzTvPpkwum0y7Uz6V4GFYrlMVUZTmxQCnnJeVC1G6jV+k94rf7YCH/OYosuR8Ry0DkxglAlpihk3WMscr02LgtGZaG+29JXFl6YFGboyUihj4ihqzLWiuZDsWfpZpXfJ62YGITcGa3GM+0ONUxroWSCRdcQFEmWQ5BZFnuFYewOfG9f9Ns/xmTPUKVwPc/HluGZpHk+MQlyoHBagqYazawF8hEovAmgWOS7MLfYUFkx0e0/fr9Ml9On4Fe0eOu1Od4PBCx0XiWL9YpnqVomEIK61jLA0zg60MqI1+TiDP8188QCIlVQj5kRsMfeiVlOTjgZBxITr9mt0ak19aozE8581VHWaHYatw28N/OVZB9qE8JGSMWE+8fV8ICJlQZypgTERQWStLfKckWzRhwPNrkxa8ZFLl6VUsOieKyaHW83WQrOBOWnVywLYOuMpFEYjDTROmwD3GaAn50BJ3VsqWcgOhbU0w32rbfzrkbvwadxMJ256HtjzzsTNgw4LiC6Yx0IYYldgMJ8ptBrA/jDCwTDAniBAU7odeJPL5C1FgqKwiIsCF+QF9hQOTfqF7Dla/RTnbGFhuwna3X7SKYoitTllb4nuKFj5//NGv0rLSWCiNQeZWqFSthB5RqqHSX8Df7AWKQsMp0bCJU1W1V21sRgH0GCgSuaaQISjz3quirfl5z0DVhrqyDOha/tNxWVp+rjoqgoy5A9ZzisAFNmK+Y6CHFfYvnVFAis2lm9J3kh007JAgbJMEIZRHMXz8w3M0c6UgtDAfGiFzBgkgcapMMAJ1iGKoiup4XKZpwJbOXUzi9WsjyP9QpixVzhspAnWj7exgQ2k08A4AYBOLR/CnF7ABYGVBooNKLRYhE33jm0aOL2iKNg118AlrRgH2GgxrIo/BRDl/HHQucVymgsjzsEhFs2oXLVfqRm9BJ1OL29nWZpkthCNiPbXFhUYhX9GmVAjMtqw2IH456DR8a1MjNenGT2zvs4LDvMAACAASURBVF+knoH52+QPkkzkjGvg8pHlhFVo1VuVDFJHzbh1rnyQap+hhj/8Vl3S8SCVKIKv1TkNAEzXrRSYGWjIcg5l+CwPCvdMXWbWFb0iL1JhvrLCXEpBWLcnFZQmDIMoajaChbkGWnyPvrr3lCRLWBglS0e7YYDTmmbWSSGqWCSpxfWCdjcrsNFNcH+nj8Npmq9xyQWXWzBfzEoZWEnD9XONdbuB4yduRGecEScBUF/wXVhuNXC51Zhne400Zyf/etlt2b9FoQgVWvMNXNyMcbARYUlpLEhZPTPf/rkI9Gx0VmB3nmOPtZgv6D/WAhspNQVUkqLT7WMjyZIkS7PUygNzywprgpHaOhObsohGVnLJzPezUX6O9018ncqppkzI0a8ASFBWd594KyvF5A7J36OYGx0fz/B+dpXtP8pjbRrHekX1KLONG+qhcslqyXEWZIzBmVdegUS4LCFiqR4tAVRZD2ldktuiby21PmoqMh1lLBQbv4h7FzXmW2q+GaIlXWG8mRU7w/BXa/Qig7ZRWNUaqyJ9yaJ1keKE9YoC7X6K1V6Co+0+jmQOXXYyGn/krglgokCUEZr+jbSPu47/GU5sIwjxFTEG2KtC7DbAAhGdZTCS7BrzuFmMKGsGgEariYPNGBdHAfbFEXaVNr4SkF1RsOkhFgqLJQssZjmaVZ8n3lCOLBNynRS9Tg/tNM27WZ72C15CaYoN0x/0eSgAOppkNlPUIZPdZfcoyoXUCYtykbtEd5VGSCvvITjDN6lUygphor7zUquA0PsHA5byLR2mWtGJH4ivWgPkQOMb7F2qHJLe0BRIBQhcbinKgHR8L2xR9LO8YMCROeeYYstphzlRyXZxI2jORViIQjS0B4R4O1xzyJpBpdANFNYCMp5BuxbN8hIZVbskx1qS4SSB101wxFkJPEy9MJlnTR+S9zAMpcCLJTYbto9Va3ByvBKmxMe0MXMKNyDatRutxRB7nMa+UEtmJGKmkFoQi3iqhptSFeu7GvDHl+Ya2NuIccVCDPZtZqdUCVaopfMXrUXTAS3rsJBb7GJzHKlxER3GV0+w/DvJkPQTdNvdZD3LsqSMllk+rOl5lznHSGvd8MKr12rY2apkQ84bLz8Mw2Op0SzBU2VQRtjP5/Gl34AAy/heIWWiq2qR6l1xXwa09SZxUC0TMtAqy6/JrCgRLf6Cz8BwKOQaRRkVXZSrieVZHq4oCj6wo1dYl1jHlJliwJGHUdiYb8ULZLo4oqUQ/ZY6qlfvfQCRBRprWmM9CLBRBRZloyM6JYF1SDsJDnd6uKuf4VSWYbW6xwPgMUvMxzsY6bBFDmclcj/PcWqti5X1E+jiZiTTJvzMgZPxOeSig00sKI09kcYup9Es6BvmQGqRCyv6JeOyYkWYh89mCLAYxdg938AVCw1coQ3mrBUx2Rf8sIrGIrQFYuewYB125Za+ndflxSAqcGk0a5+Tbh/dTjdf6yf9XpnjZHMssgKNM6szYq015RoOuLX0WOkbCvilosb7iAIEkWuqv2nn/Eeiakiah1pkaW89wMT9EuLz+dbSHvvPSkwOQVRbrl6S3ND8i7M6RCzHgrAoldbywD748mzHoiPvW3HMCuR5kXdsXiRCTnlB5iuajUZzYS5YjEM0owB8NIbUZNZ9bm2QGGBVK2wojcQoUJ/1E5/EqBHRt+v0cWe7jzvTDCtphg1RyIh+B19VyvpQLn+iGyBP/ZJ1I73UYm29g1PrQLue8Zg2PbcHQPm2U7gOwe4r0YoWsLcRYEkXmGdmhOm6NGMpvQeesKJkvqXZEE+0xUh6oYXLF5t4TGiwT3rc+QthVpIXbwSMFvO5kydWNiT9VbILwUj9vpyV/dV2sdrvJR3vtlGslsXuFK1jE7AQjrlkkW94r3Oisew/Q3Yk2MrU00AYLWUbX9g7tK/8gRKAnl4HgCsF2hKctTUytRSVEJ+XqAbZhjr2+HZhc20LF7FDJMvjheWVEuaL+JRRVgf5JVmcUr08z3vWFr28kBVENori1tK82hUFiOl3sQbJlusbykUQBEhXKawZg44x0hIvoxlm5EtQc1lFluP0WgefXe/h7rzAalagx/tJf27wrBaeMNdPBGCnAf7dK4BukuB02sfplTvQxa2yon5r8b9E5JkBkLfikAy0WWbV9Tx2RwH2Wos5o9CikELTTNtfNzc02fy9KKTPBqZ1Ltu3C08LjfiJBdmu9iw0KckqHFqFxaJU35ZX4+80FItLWBrdS5Gsd7Da7SXrInX5SppAa0PnNzLGNIxWLPnycbfXwihLDERZpViALR4iAxKvaJaUJhGPdyxFMidje7yLC8HG17IaQ7KovnhMWNNXRJXJcpr+Unsrr3NwY6TSUZbeO2qbDWO0Zf6dRRucxsaIE0/Jqsgy0M/rWGcZaEhWiWZ2VwuLZLugFI7HOykYhY7RWFNatLuc/jqvhRWUzFbx/1OL1dMb+HC7h6PWop1mvvJJUgDVJs19xB0Iw0DuWVdrdNIcp7I2Vk7wCTUcqhvLus2dAaD3QwR0Jyb4OcteCri4KaZ5jw0wZ+jXMXJmNfV45Fy286Lzqg0W5yM8amkeT2qE2EeHWEiiSg6ITA/2qouslUKIuSpx7yeeB4TlCpMc2UoHJ9vddIMFi54N6SIq6oZxoFXT6LJGTZIt4oALGMt8pniwDB3JcaWhlbxEtf6MDMR4nBEpXwk80SPopJePYPSrLnzKqlTCJQDjJdGN8MWg/hpZrltGNKKOUEoxIrZL5whG+Yp90bIC3SwHtdJ+YW1KBLSawfweP/kpdwxyJhVWqPexK3AQYI2duMqIVyIkyRaT9RyKJMf9Kx3860YXd+UWPYJT7sHYCj+JaGViS1DR1Tk6qcXpIz3wCaMFTkyIvpbhtgPGrYXojdnONa6ElR+6HvrgpdjlAuxrAAuUcJTl00xQpAUbsY1VqvhZyMxGg3ri7nk8aS7CxaCfU/qHg9nHBjoMfiwWFDBX1OsI/U40T1xUmJMRV7vFaRFkvGwSaGMidv8MNRpBILpmKGK3N4skK94wMdHiM3npiAKj3DBJN4j2Ico/SzLJdCy35foyPl9cVsdXKTJvVn3lnKztYzVKwcUKnhVFsPcuJYFHIiKQmG6U68hzJFmOdpKhmxeuV7gi5WMUFufUrsU5LAZ0+IdO1VBW8mpERxusM2VW9VgU10h8WLm+pJvi7pV13NLPcJT3h59vehqn4bMaZP0gW7el2qLdBzZUjpNH78EaboYVYrpjYtHPqMtHYW5KVqQGQEp2AK6DwZUzgHcHnAfesLa/Nh5q9yEszrewTwoZAtEFG0UOS0YspOFkbfGSrHpDWDiouRj7me5baODRgUJzAMYyDU7WYHqPkbO1YDteuiEVkAbXwtqOtTbWVjs4lRVsZyGpZragpVmLAoW5iFkcjQYfDSTOt1diS7+wZImKDUsAUl4wgUgNBB97OpiYC3AicC2Z5rMoaFYZ+hQFi3WFnWUqpJk31fxMM+vAok3pyuQd+ixHlqToJTl1UGzkhcgcudEI9y5gab4lk0/QSp+ySjVKSZo3rW2l0Am0sDr9b49S/oOFCA7d9T4+fXoNH80sjm8CnNCjb5FExhN5u2CfaGywoKCT48Tp/4uNib7dIWcEiNvBza2Vnux9by94MO3GnqWzth4KQf5YRcPUr32ra120hH1xjCXtsKAD8RNBRqQ24rsbi8skprZy8MMQi0sLeNJiC481Cgsh885MI7GGt5JqfK6Y+WhKOfyul3dK8ydJKkC1E6yvbOBUP0WfFZkSwxKIbMat0KA2Rv81DNGMDSITIOCDthle07zxqRpCUeViRoIsDKGaIdTCHNRSE2r3AtRiS+QIQUY/Bda7wGoXaPfketFNxAyDLdDTFC7N4fop8m6KpJOi3U+w1kvQZrUyA4M4RnN3C0tzMea8KlNKKN5N4KAVYl6BDgOBynctqVi8XjJp7rCy2sVtKxu4JcuxSr91EttxcpHxeA3WomMd2kmC1XtXcRI3qe4saPjPnaYlPAMsVSusHP08jTYCcVWnbctlJcqNAsJtRTlyqBtcvG8X9rYWsJtADJVEuqoyzRIRWJ/CMYDhZ75hJZqLi3jCvjlcqzX2hoGk8/jDgxtCXZFLRQtgQXpxW+8/VYKJZFwA1UnQXdnAyW4q7CKRcMBHiHm/KwoM4iBEq0EgBojnY7QaMcJWDNOKoFpNqPkYatccsHseWJoD9i4A+5eAvYvAQsOzEwG23gNOrgOnN4AT5evxFdgTbbi1DvL1LpK1LrqdHjq9THy8Ls+Jpj2O0NqzgKVmJDl0n8NlL1hf+MFlkVKLF5QyCoFZqePch65DzmxFjlOrHdy23sbHmZflkrBNvh0Vp9LUcqJlDm1bYL2bYeVkglPbkVHqlk8wRB49sYVZJmXMI0eJoc1gu94FYHDBgyyDKpF/bg636u+2ZPlKNpRal+2B8XoXHLgCu02B3c0m9iqNuSpyZsFQxpq/HEbWlPoG2tKK0wHhnjlcs3sejw8DHIgMljQd9cpfYyGEZ8cGq7Upast/ZVFyuWaMiyE1/aqTHax0+ljPc6R54SyFXeOd/4DyAiUJMmMcotGK0FxoIJpvIFyYQ7BnDuaCJZgL90DtX4I6sBvYvwuYZ+9W61nvvtPAkZNw956Gu38V+f0ryI6vor/SRr+TIukl6JOR01x0OMUyNzLdUgtLYcB+Or42r0r7kREJPHjG6/EZvtWNLwMgWq+UDNdjNUoHn1xt4zOsUCmzVLXuRVKSpLl2l1oVBZ4sQztLcbroYeV+4PRk12oSK5VBasV6lGu4jePlBBxIXgxWxhanbyHDOI1DCASILL6qtvrBN2CxgQLerm8fiJB03zJlmCjEUqBFbtGJ1LVAZzmT7JLwliIEWRZA+UBBzzfxqMU5PK4V47JmhL1MAVLcrqSO8jTDvJB8MxfRkxF9zy7e1DK6zi36p9pY6fSwTjDkhcup+JKF6c/xlYwaR1y0LNJDFIWIWgHixTlES/OI9swjXN4Fs7wITUZkxeeJNdh7T6E4sY7s1DrSTg/9jQR98e8Y1WZIGSxRZokDhAsNzC+0ZAwonjNbJCokr0daa0hRAdLAiGCcVZpkKdKbvEAvLXCyk+Du1TZua/dxB60Hm7rbjA2FkJH5xPT6lcIEHwOgInNYTxOs5Qqr978eJ7dNJD4uoy7MeCEQYpq0ER8E3o2iC07MU25DB3RafmgBZv8lHuHHmJApN7LAsT4syIo1at2Wz3DImUU+FWsBS6HG7iDAroKV1vwvh5HHTPkssAciL4NSgYJuNXDJnhaubTVwRSPAhWGIeVlI71fv+/VejDK50N3Kqj4JNgbM4dNRKrMoVjtY2ehivZeiQ+mDUgoBwShV/mOkysWIobyGzQghBd9WjCgO5d9MvHMNteukok9m3QRpkiFNc7Cpcka2Y9UJtb1GiHguxsJCE4vVQkrxoEpzSnnI+JJ3BlCUUdjnRSJoRuGM7Asr53sfAbfSwad6fRz1cYS0AMhsgZSyibAd/Ww+lUAqO8AOV6tIsbpaYHUtw/oZMV7lqs1D729Aj2NB8HEYxZCYJgNvcB+2BRTvYA78xP37ENgJqNcNuFEwToqSp/zi9a5x8FLMAdgbN3CBBlpFgZjrBS0j6DLdV9UV0kwZ7x+xkPLiXS18BU10FGA3c8Bl5bT8GH0kmmTrZMkAS5dooqurEiDSr0wS9Ls5OhsdrKx1scpdQl9e5FeZlRpdyCiRfwf+5kpGhKDnjzJHbmEpHpOZqVGSeRdb2NWMsRgHaBKA9Bd5TfWsCMHBpwawDo/VKdVIyYJeXy2r0wwnV7v4t5U2PpkkuDctJAgRoZytdXkMWwKP/Vl4jJA1mgr9pI/jkiZro4O/VQMzPhMDjHIZHwQwy43J/p3c+5PIz5SEtsGA46c3CsSCi+4mbGYXrIBxSlOaqRd9yEW7gSZlnCjAAdA8azRpmvOyVYhHjo/m5ME1vn0I6xMvmG/gqj3zuK4R40K//kHMnTBiJfySDQlEpv4ECJRGvJAnqbbUIml3sb7SwepGHyssbPKr/mEYDVOVYcAg/Sl8IedgHKVXA3sKFJ59FltYWoixa66JucAI+OslMCKXUEbRhsslJcDgf1I+IdpjqYX3EhxZ6eDW1S6+mCY4nlmsczKybZN/sCASvkpfFi7yZecyVr4A3ZTl8QlOnv4MevUlkTOB5+OBkEy35X0+C+CdBQNOAKLPkgT7GwjTPvjQgU3BiElhTxCILF24kXHG9gOW5WU0zBz2NQNcYgz28GZIuxDpyFC2Hqup9swVMxEfGiwttHDV3kU8dT7Go3jmslaqbOvrQ2SpYZNuUWTGkiXlIulfUZymOU4y9E5tSER5Ms2Rh0xHlZG1r1kd8X8oFRX0FXfPYXmxiSXmZ6k9csmVCN7DjT6ePP7K0a2QVfgDfZQ+WsCM3moHnznZxi3dHu7sFzgt4R/Z0Pe7YtyTsoCUE4HBW9mTgm7KRruD+7M+Tp84gf6kzlSTASgEE6KPgGxXsC/a2OZSqKiB/FgfmffvzsT/Hz3YWTDgpNMu9Z8FRLsbfpaPbwSngPEE8kmro7ZgRLrfseiJES6niaXGWhbK2ow5Fvo+vgBCrodAZCRrjLDiJcu78LQ983gC855cMDPS/d5nHyjlsDMXfUY5hpQslZpi4ZAVFsnpNk4fW8N9eSZRqC/S9EUC0hqoGaO1vIAD803sZt6bqTUJjspNyqF8OQNXkHGJ42BSSH2eBzZ10fxUGx87sYaPsP4uJ9txQbkPoOSJIJrNIIGMPiEXYJayFZtJra6luPdEB2u4UcqgtlmkKPcwWl5GQNARZJPuyQpB50vst68Hb0G1OwTA6hdKUXsZ4W5GoJRQxzbVgSMYT6cye85sgA4h3tvEnvkAl4Yh9jHVJz4i+6DmknseAHFQ2S5l62g1Y+y/YBe+Zu8CnsoGSCUIJfNRq+bl+XIhN4tvudBa+rOWr6TuwhaSd145torD1BQpfJPp9u/CQZpbpuWYtJeVt+VW+nC+pxzzQB6Ukncu201LUUBm0Tm5hg+f2MCH6OsVOfjE8hEJhSaaJput8qSBGhvwaqS2wOmkj3uP9rBxRpaGWD6EeE+EkKCbds9WGBCJOzV7odFM017bYYcBWAMio6UTCJeW0HCtybNJdeHiBWTHDiM5IxNxPeLlZSw1FnBxM8QFLN0iGDOa5my4Gr8sCvDV8b5jctwIsbB3F752eRFfExssCLhqA8J0nyztYNBSawQj65zLLszSCqlAsdHHGvOyzRgL0rnZr5kYVPVLqyVfDSPAq5aM/P/tXctv3XgV/vy27zPvpEmrjqYSAwIJidmAEFIlViwqscli/j227DoLVqBKsEACNBIICUYwtB2lvZncJDf3xtdvG33nZyc37U1qp03TpvUmN4l9bR9/Pr/z+M451VIrpylQhCkOh0f443CCP0fMhhSINFMBr2p3Q+CRhcKl3LREWyZ6gWASYxgP8WzoYFrfm+VoqcJcvwMnmsA67/noCfLDPURYFWXRLPlQE4VXBMDZsytm9dISnNyCntNnm7PZEZKhg6j+26v4ib1P0e12ccc1sCld8XVhbIPT+kQLlU2+qRHltFzGlOfqrffxs7UF/KJlY4MOhiyB5WSSCixlLQYD46pjNeNzpdPBz1XM7swdq4wynQhqO3bIZjhAtQ1XGle0oR/h6WCERwcT/I2dA4T5Re04MwSQXrVrq9CS0KBSROQETnPsPP8vdi9iG78s5kLHr2DxWaRxxWU/u5feRk7gHRwgwu+kkLxekqEm4F5aES953CUOU8btkg03K2B0TOgTZjABdD1o/Myfvo5s9JhGs8TAagS3uew/Mrq37i/0HdyyHayZqm6ZWRGhNNFpEU1S2XczdZE6YJEAsbGA+90W7pnMZEIIoKx7UyRVFaeR7v4l82bu/St0lZ0QS/ALa0DxBBlGibIM03GArweH+P2Bj3/p0hy8ZCzOAI82HSd7UNtxuSUtK8/ghyF2nw2xWz+McpKtsBc+gcueeJWsK/nLe9lGbvlI975B1IRQegkgnDnkLWjAOZd4vzBXevCSDkwCsUjAqWWnRM0Emq8hO5oguqim9Ow3KyCu9O577hI2LAe3TA09EyrvzBAO44llj1LlsFRFQGWZaLeNexuL+GXPww9dC8vkEIrem/FehZFzGlus7MNZStRJRz++ANR6SYYwSvHd4QR/f36IPzBroZSxDA1UIK9sRh25Q9Ap8Ce5hmkSYewHGMyrKjsfAKe13f0unHYBjto+I2P+fpwitxMkeyw2n8tuel2IXXz89QCwuqbSDgkz2ARiFqhlUvo5ESkpq6eFqhSWbybJyTW8OrXsb/axZrvYMhwsEIyM5UUp0pPWw8y0qGbcIoectlqKvOXh9p1V/Lrv4TPXwQZDKSWPb7b526mtV2YpqO1oK1YUMRZsBxGeH/r457dDPIwTDDgnj/28KhEwGE3aFFNjjikd5rlws7v4OI5xNDrGYPxbjcTPmptKoQpj3YRbybCSJ38aHnICzzUQN7O/a15Cg92uF4DVhTLSHsJhCMczYWV8CHyKbCxB9eNC4+fYRnSwg1gZxXWzLIW29gXWvBY2bR3Lui61yza5Dwl7BzCWVmZZZO6fCqvQbktaDj7ZWMDP+238uO3hrmujU7KZ5cpnwznyYEvrNogx8kM8OZzgq+eH+FOYgr2THQGeigdmDJ4LudUQ1o/G/Cw7D6SJpNgOwgMMhg81Toqst1GGe7CWtmCTePui/Pg7x1xPA6QSSnFpb9eVYb1LuMxe7wYAT65chQQYwiEQEwemFnHAawlE5jSYHHUQjXxETbMsve1iaaGDDcPGig0sagZasjQnyCSeWC7FCl2K/sQMQ8vA+voCfrrQxU+6Hu55DlbmCdsPMZhM8Z/hEf56MMVfggT7FqcKqObDVVsziQUyg8GgtqVJGCmIcoyyKfafjLDbgH8njhg2YS0sw7YjyPTLWXkVDjQrQhqwbIEe7QUlkpcB0Ose844BcOZ2mAbqwqb9YttKsC9uho8sbCMZ7SPGl2wDUdNj+7ywNr+HPjwst2zcsgwsypgfpus4kY65Z2qosoch030Jxw9oaHVbuNtv4Qf9Fn5EYoIsbTmCg2N8Nfbx7+MQT8hAFjYNvWSm1mTwokxdZi2MkBuo9eJEOgw8Hyc4aEwKeACPsnENWDKJZc4Wx4hO7eiXZ3S8LnjexPHvLgCruyvzkX0LriwtQmQ6m/LTWZikIRZhf0naUh07UdScvriNbr+NRcfFlmlKn0PG3kjqTGK1NCteDW3FVAaOZfScXRfLdCJo/lGLRgkGjPaRzl5lK1gHQhqUZcG0pIGQ1PUWYY7hNMROvI/R8KH0S6lh16p2eesuXFODmySiOY0zsmBPBFcGjoUSSWhkqrwJODX/jncfgNU9lTbO4iocsw3PyWGETN/PbBQ+tWIaIRyOETQJbrMdSZag3+tiyzGxRu+VTgkD26zX4HIs3avLTUpPZzbhL5ZpMv6Dmo7kVovtQ0iwJaBjDI4yPN/bx7ipxl76Pjy+gNR2L967a6u6bDprh+LNns+/aw6Rqz3i/QHgiRwUP3FlC67eRstia2BmcGc2ApNepdiK/4DfkAHibt5Cp9PHp7aBtXLULPPHaZIjZhkBC3fmPRbJ0WowTQO2ZgqZgA5uEiQYfHeIx3W7BZx893Zh9y20ucwydurq0GdfOseQ9F1SpPCbRQmuFlRNvv09BGB1eyrOxXQSgLaZw54HRGpFO0ey8xQ+HmmnbYJfJaXtwu4BneU+bntcnlm5pwiyaZgjzmOkJ7kEGWcMi31YGFFh1iIuEE99fDs5xo7qFnA6muBVp8Z24W2aaMckr5ZdqV48Jg0QD0L4ypu9mjTZK6/zDezwHgNw9u4LHQ/gri+gQyDO1U6GFN2w4t+f16XpXFmWIaLby9jqerirs1y0jBmmOWLyFC1D6kjEEUhz+EGMx0+/wbNmNlihr26jpZlok0jK8TDzrimzEQ2G8JvZum8AKVf0FTcEgDNakQHoBXR1C8653mEiwWj/IIZfX3sojbt5B5utjpQBdAg+nlmW+wxH+yP8b5hht+l3Lq5Kh9K2Pac0VovZ/h7FOECglvAGnMorAs2b/NobBsAZ0XxeWP3P0LFyePJgyxjiGeGZKI6P4ZcP9tzCmXkCX/uiWO/0cEdPkQUJnu78Rtuv/2AU944lCIWB1nnXFgfIUhfTkU+K1fUHjevfX/09by4AKxlsF8aSjbbObggWTLuAQUOwshedDFpkoCjGmIpNdUE/4/pinbfnqc1apOgYLbjVubk3l1xek5Yjp0eLMY4bhWhe7+Ku7eibD8AT0arOr7khhfGWVboQFRArm8sn23mKSbMwzkXPT9HGGEZpGegaMoH89AWogMdwT6oLA6iZjXpt0HkzJ/6AADgjsAdFiw4Lp0ERiAXJ+ARFwjHM0AiKIEKQGzg+iBFezu5S3LvFjhS3sy2JIxpu5hwc5JzmSLIY0UA1dFSTxz+g7cME4Ony7G15aLG4nZops2HoZScpGVJqSjVdJHaiajX70qSfl7BSes1bi9Khoa3bsDU2z+UyX36nEUvpZgIDwc4ejutz+24eMj9sAM7YiUxxGSm8oiU9DiXHS+AQhPxM0GQaYvFG59XV3i8kgE3vm9ouJ/uZpUfldgbMIcJ3hY1y3ZD+CMAzT0B5p/1NeIs2+mkJRKmV40ZHgcM3dMSkxu+GmLBmlk6FacKhthNOzWxmJoOWGYjDMUbsDfM2aO7XDaom5/8IwLnSEo/V6a2i1e6h6+mKjROTPK9aDTP3WpjlEG8Ctfpb9X/+DEOEUwPj0S6CD3mZvQiQHwF44euq6ljYqcHroOdo0hTzJIRTebAny2wZSokj+FGAo7ddX9FE87wr+34EYK0ncVpfsdJHv+ehOwu+6vMkwVgKwllDe0MDx7XE1WCnhCZikQAAAD1JREFUjwBsICy1qwqvrK+gb+vo0rtNA4yffY0j1aauJrev8Xlv5gEfAXjp53rSBYLd4K+kaPvSl/YeHfh/tCjZ2t7KiF0AAAAASUVORK5CYII="},362:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},16033:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},26358:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},16122:function(Dt){"use strict";Dt.exports="data:image/png;base64,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"},82396:function(Dt){"use 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already has property '"+mt[Tt]+"'")}Dt.exports=Wn},69168:function(Dt,Wn,Be){"use strict";Be.d(Wn,{Z:function(){return ct}});var fe=Be(18773);function ct(mt,Tt){mt.prototype=Object.create(Tt.prototype),mt.prototype.constructor=mt,(0,fe.Z)(mt,Tt)}}}]);
}());