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") /***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/drums/13-bongo.mp3": /*!****************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/drums/13-bongo.mp3 ***! \****************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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rPuVZVMAgA//uQxAOAFrV7W8wwfMLHLuu5h7H4BmqtZYkYIKxHJKdYc1vF9LtSopHBpJVPx+9hEqlJUx3jrVKjg2b7uN7uLsoRExrMXkecZfePs4R4btIX8g58qZrt/r/JeS513Eg4hOvdeXzcRA6uAtYDcbEGioFTOMdwXNRCJpiYlIgEWWAdVC1RETkOprQTVKd9KcFw9QnSTaBlIVtdUoLi2OF6NEbHxp6ZelZjgzRboWS5OFHEJiQAVVz/hhWuaUp/dAKhWXz3Vvq8QioRAABZmOraLwBMvKohEVK1SDIEiXcjUNQh+p2PL6ju/RLpkxiDRsP1p9PqtC6C3Itzt8bVh+GAhKohinRVMpX2nrCpzwVpODUDvQhtN+Mcje1n85Fa5ngLpk6TotCQ60dLT4zEIanF43AouDcID6llRnd8vqmDCFg1+p1LdW2xy04N2lf2tLqzI6cvUdmtcx8/NJ1j9f6+1TbXm9+ZyYGt6f3b12ZzXAEQYwe2zVW/plM0EgQAAlh1RA7AFQgkQsMRkeFh07FaM3SoLcLcq9esQ1Wgpp+NNur2//uAxBWAGKF3V8w82wLiL+t5h6OQ0vKWwnK/WxpE5hwYkZwLUtzmllP7Gx45fNTzjO+glV6Hn9YZKnnURvnIDLJ6zOCoOo6TmMs7TiXh6gbJ/Nav46kNZi6LcdRuBtKFFtAab9hH6xKA3mYsTOeBxQLKW7GqTUSrfJV/EnL2db52zxtyODlK1RNajLTnI2wNRjWczPhWfLbn92Z3X/3c6RTozFNmfGSWNDQVl3NyCr+3RFRAAAAHXdw6NR0aOYTJaF31C1NHijVlp116rlSWxeVXY3Q7zy5nVh6QYbu978yzBcHz0npsGeM4Z7KZ7LBZrGoDcCVy2yzOxRJ+ViEsDPoZwn+epe7MhLy6k2L8j1ahrWbrKYK4Qp0pYKw5XUg8YzedLiqaP4jiX5DIMI+2WEqI8iMir2Q4EoMCMIZg2d5c4QDmnF2c6ybadO2fYJKquxAkZzf/NwLWLSsNbVGywYbzIkZa4yAl31RVZTH/+5DEAoDXCXtb7D0aytuwqzmHp1EAAAADEJC2FqtpcEBF0JJpbt0Zq/b9tN5R0jvS6xN0MgfGJa1j+LS4Evd33KmonpZ3J90FivBjmtiFiPLjI3klRwFtdQm4zn53E+ToHUnUU0HpvnKoxtJ5tVZwF8lcTpQZxwVBIgl3H7/cOomzw/Vhlj2ZDdhqk/GSCoGqNEZ2XM6KqE4lADjRKqpmrTGCMRfdX0481N/qroeOrq3aT8/bqXOYiLYYNuatRxmIQ+OP5/z9fu/VyVGAARt0YtmsNghQGIa+ozPrgydSUP1Eb0c/KZwht9Z/nLl648L2WMNW8ayBB55RNU1nGMzSvJsvesl+yUd5o56E+YpzTOXTELhFBdjERjmi2ZDgq4Lad7AUqdUSFpeoSVaJwcpezsQDeu3K67IC6Os24iDQECoiERcRoi7i4VDorQnhpxlcMqEuM7jVak2c9TWZn5Y+Vy35VXOjVKQhCN3e+/L578fWQ95aXWpqt9m58dVfzirPWGRkIAAAAwcNVYxrHtUgpAAwLwl4KGDlRrqd2JUsNOT/+4DEEICX0Y9XzD0TyumravmXp5DY/5HXq02qw9SJmHFgx74gkCAcS9sDE5q+CW8xRHQaSGoYIqLWqI5hqeCuR3I+wSxSnaSG2mIqGoOtnE8Hkfx5rZXKXMos5JzaSKXSKQkY1Gr1KTqMfidWZnM51h4X9jhLkv0i+wqRlan7Y/EhYXF7pg5QnLEghgTkeNZxhv2Jkgm7HL5IWyE4M+T4q/sxpu4LrjiXmXj/ihg77S8n2/VWRFAAAJKpuwxOJZVhkoGFugmCFA4LbtD0Rg6pFpN9SpahuzCsuXcr8WjWHcq/KWOprwdR9sUtZbcCNEsKENq5a96Ry4KiVeCoAVe3YZDhmMPEpDKeXJQp2ER4+iUI4/FcXiBQapFHCUaaRJfFKpmZ4ZRMTrJ+iVqCgDrWWtDe6a1aywTTRSpVNky7XOh8XzJswWzYoTkbbREEfNVkf/rdp68DhvEo7d1d//Y8rMiEBR7mi4KGlPu7E//7kMQAABdRWVXMYZHDC69quZeauL92REQgDAAABUIoXfB1oFCuC0IsMtZJVP2X1nHke+M55W4hfmfjeHNV5haMCVYzlYhzWLEWafT/8EMZuwwuhoq1k31zUjosKo51y2lwqCkaWPvmX/izPXWddZSJjNn7TwgiHV3xN5IchwhM0NfDMW8cJynGtQfK42yiTwUUzU/EoQSYbiaBxMiLTKfFsKBEpXojI8XF9Z7pqhqZcZqa9R8q2m6Vw8nN/G2aUXGDec7nTsOzMzLD0+uT3pr1ZXQyAAAAJu78ICxMOjCjAJSeMegYnEU5mrQJEHYfSG9RinvRZsFBjZrcmKNztq9KyHoLCKBdP1VDZQpUEpgYRfyWLIm6GsBCTElgj7TiICHHMSMAwTpAEOjtQQQrpkEWI7QjprKE9XYIQ3S7k5HSoEoXc3lGrSCk9MkkTQgi4Jdc42swXFLFouYcBnT+o0i1MdytWM1q5waOsuTW0MGW3EK2a1qnfvd1Ix3IpXl/f/fbd0dGdLbfPf9fYMas2E3rTSrfVVZlMCYAAAUNY7CUx//7kMQHABZxe1vsPTHDGa8quZenkLbSjrAcFSLwKfVjb1m8/NvFFb9+1c6yPH9INsORWK5nmbID+0YfSbw/iQ50NMc0xaC8layDqOtuMdrsVCEowsjfPAYI69JCEoW8tiHrxpnEecdFPWKOaQ/W94aj801NJNZehIesmTRybhU4uqqgBu0TUkEpwlQeMOiiqHg5mm4RqSQtVXHBjcZqETKfOzWyckGXNRj3BjoEOzQX/t/z+5rD7UHYErn5NUVAAgAAKlnVcHODBBjrFwFbSIxuz/I4r3sSp6qOHf5JLMFRK5SUtLnWktFYxxvd+WIvrjmqWrUpnDRbaOsM9a3FUnTYpDSrXu1TuU/CLydLUQuKg6/DYa2xPmOZwwhbWkB2BdnQytJ1gjI4WaGE6dhiJRXqRIpMcLt+oDGL8nzVS/ShbRLIeZTgvMZ/rtsevk0VRhsuFmXz2Rl/VHFdOrAnGKqbBVjMhcc+FZL+/sulLf5N8nhsoytLLz3lSTESWiPn5lu/hKZzEAAAAkLYwI5KqysCEQKaKyMtTTJXN2ZtNRp2u//7gMQQABbVZ1fMPZHCxrHrvYexuY3qGZZG6X6mzMgmu+ZYPgl2I0onlI+lQRkVqIQoGWSQfx0LlTEGc6EhQiAJ8EDMkbJPlEoz6hJI+xim8fpSmShJvPzGPMb6fRx7DgXDOcLVHlRwkR6GsWDkgadlA4hBZiitMxrpWUtFMi8yW+MVL6+9+ichTO9DUsc/8Lh9f/63M0mnvTubWa78035S/M2/m7WlDAx+/17+PkMjESAAAErL2SLYXteAayRCB4wFw3dZNA0Ft8zqmBBYY7i8Tld/WH5svmDNs+rMDjeUzbv6kONw6gVqUI2ZKeYy+wN9DYqeOVxMEXBQsO3DoeUb5bUujJIjVUCVXxWLFhOeMETZyK7mikknJ6um5scEVMWOq3FtMZ5hlFuUx3HJ+yHjvbZ/pykrbNwVSfSLF7K+G62Ale7DHNeWVY7u62u/sX/mwMX3Jme6FjjKvI8Vv6V3ZTAiAAAFGbtYUuBS//uQxAeAFyWPWew81cLGLut9h6Y5E5zZccPGlssPoGhy2JMGaTCYFo/yh6M25d2th2rAqrYfBgYlKknqPfW3AVQ+A3qkxExMuIpi2spIpduCuZV4XzKb4j79phPmEpTgivE4oRdVgvbtwJAeasajRY4by8BsShyS5cHqdh7gr857mO2LnFJI88HTVLSptzRaNm5oVYFWNWNXvt5EmxjUb0citvyG7Umqfi0u+H4jfImWxKcm/eoYWvf/rlo+uMVfu9u8EAgAAAOwxPOCuWGBARwAgqYaANrq4INXc7TvvtDeWVa4q4O/rWJFS7k9d/aoQSFR8T4iBQDiL+PyY1mo0UOjJmJMkjJnZiYs7YaT4/EKdw21cphhLwm04dBxLMZHqdkalmdVQm1ZbzKQayfyMlYPm4vAKPA8uW/7BVJlPbZHptR9OzzkugV85EtzqvPKP/TcbgRoWF/WwnKr6tqRbtNODeqx95DYFh5nugm/R7TSz4qXYzIEAAAHUBjjNPWXA4jwIChca3k4GCsQdx4Kk7RW7OMQ3RWX/yxvdkU5KHOo//uAxBgAFbWNW+w9E8K8Meu9h6X52eWRnmLJjd4IfTwZL5GuZ0NUWjZl8/bHNQBmOaREDW2N3LVXnmVT1wjR3A4ojkrHrnIrJ2W3VncYsVWPXNh7m2+G3ElevYcd5GfZ0vs6IYbMyelWVqheYeFrhBCmdu3o4hAlNHHcyaouMruKmS5Ed7xCKP0mCYclfieC72yefdxDoYiwAABcnNZSpSEL+mN4mVeJcJgDapjt3ybtHsr9++UDUy2trd4caOzR6ZvVVHuWCJb6wWSoX0PZbmwqWyA/dRD5O6K5j6WVOGhPBaawEWujCbHJXpNSpcSmgBlVm1FWmypVYSiNE1GB1W25FB4nk1k8iqxyptS17QxtiUvldSXWmJI39pz07bb+Puip5liII71U0NbJGnUlW/PEbpu8ZPg2Wb899eLf0GX3nd+1dlUgFgAAB0wyKKmVqhyKZc0uYwMvg+zmRGlstGo3afTLlLMM7LqlbZb/+3DEFYAXGX9X7D0xyk6ra/2GIjgR9N5yw3ifgSpMsANFmpbxD+F7QI8Osrpjw1hP6baoUV6sPdWkELosq9njOR+n2kMKuALg3j7iWNA62SMyqk8bqVHXJsmFcZSoSWKiMQtHGREgFnxWRiIMrWzSpLFFcGPdT3pF/jAhfKamoZ2xbKrEoFJ41knwtKCtYmtJZ7OJ3kX78W8FOq1frbOy3cj3PnJd3MAQAABdbSHRwNPdJFF6jMoiYzd/GgQXp1qVtrt75TTG+Z0zPHppHSvdvAfdXVy9ysLUIVDgdA4PrCc05o6L9tYkuCawy/BpNPu8i3HYprzvj+MjaYtql02yJe+xTm2SPsZAiix8wTddDZ6BBRRRiVNtUIVj4ZB1M3W+qQu6dU3c3CQ2OxJAhSAmIkC2lb+1Sr+5//uAxAEAlRmLWew9E8KEsWt9l6W4ZXUwAAAABRyW/RHSvYQMxERVjqEt+7zN32dBsUWkd2/umm6Sgp//xhdZe0vE1BTCpJpBvrERIkSOQIUqOc5iMeTnfPVanVAyP4JAkc+vDdLlNJVkRyEvSenqd6ehr0rjk5J8Ykc39l0zqlqb00wadv10sP4Cu17sr7NZeMCYH0dGemyXRmtYFJbGMOnTaK5Ccc71i6S8VFQ+WkPKfcdQuMtY/+yNd6r/HlnVREAOM2l6gOMFDsgNQgJS1KOowyKu81hVp6H7tjphXEC285gSuEb1kzBhF6HTNfEWZFniQI3R3QVTlmbmhj08b0rMnVplH8zrS5UiN2RgmKgUFjraAS4Q8lSNtB5KDldWSOGXEj2w+ytrthkDK2JZSgNWp+piXWpDpfr+bGdbXSpn1Hf0KKcssjN3sp1/LCrtluVCs/zNqr///63jFd/ptoVAFAAAF5lTQGnsqUr/+4DECAAUUY1d7D0Rwqsxav2HongGMKnFTl6GDvMwWFu07slked/KvLIeJsb/wimhlr5N6bVYcEO+o8co1Cpy4IYjVtbl2+tJM6gNSISxhkxy17uxqJmrDcoR3mjBUGEvRVTqm0CE1RLMaujLwohtDBjCGprco1nqyPYwUqVJvulsQxPFScZLzA8/j0Z5wwPVamohu9eZm3Tpp1VOdLEcb/N2UO5E2fr6iGdjAAAAAFHtcsGLe9pwIUPvBx00ElI+w+6wjbM5S/vc5XHsJ79bz45urMfNPvtZUDhZrzWcBTW8Tu8jI4kOkSLQtxVah5iP3x9uScR+9eWxI4yqcEPLYQlWtDmhmFCxHI5nzSipglQ1q5vmgRH6seOTaxualr/bDhGjQOgSCYUMqDKmpQfRGNz2K0HqkJEvPAhB4PuJgR9I/4kMvMelO6S6U7x//jH8qtW/vFd2EBAAAAdWjI2DhcLKDepPsSApCHpKtv/7gMQNABWdi1nsPS/K1KuqeYeziB1nSlMqdqKXy9YnFj3i+8QVI8pjy+fjsK+Fbeal1nLqPUT9CSiMZOtzhNHUZ2vUKOxVE4C7jGa8bGyIbavZo51Ic6VAEoiMYOqA7gGnrwWHQcNk7AgbQhpE+nGl25Zqa1rlPrTUcuSU/bU5tvpJIgnflube5vW2mxKk7zQVXfnvx5Bt66vOqr+tmxDf734sZbftVz7uzsoAGAAO1Nyj4UHL6SRLblmFYUyYbaIzmXvrAFmW5/2VP9MzmF/PeKy3xgGmiz62KsrdtOLDLCknojB7xIjSd8YXHY3WZFGZJH05m3vkqn8eJHLGFQoYaTIAfybyX03TnMijYqlookgeCqJbCXemM60fK5KH3lKthgF8WLYLLJYcNtL12WxgstS7X9Gi0T/ivcqFeOdp79Z2eh/tGvO3a2X709PW7ULIR4kdCRMME+Sqoa7fmamFMhhAABfaQxnTncIT//uAxAgAE7V7XewxGsKJLOt9h6W4pUmACl6w8fYY0GFw5TRKa5Y5HqLGr+f/uJu85Vu/yxnVjuUOXMMKSxWjy5G1su4587458hsPPHQfoAlAWRMsMweDPlra4cnILusvQuuQq30+SmQkm17oFWa6rjzZ+zL/5ByOZUc6+I7GnvUIPfmL7kfraeBojz6inR8fzdhwEBucrDKZlnp8994Mudhctv9bxTmYIAAAvFvH6IkxBHw0XQjKToE3IhSO5ERprd35aKiJpTQkskWam9Uyf5jy33Ji8g70MhU9YKvjq5QtavUyEHFQlFYb6A9oRlxRhcRZ6eLQBBJouCAPsJN/SMR0ywEVSr5gFC7EbpYpcqaJc8t/WZY/PTVPzvIKdOKClh6WXCOZ/uZxJ72O6gF/mNU1uffVb2ru66VmDjAfELp3F2wSLN+JmoZiOAAAJVdcHvc1+VFQbLSY60l6KRYi3F4ZfH5XLZi/STKZr8j/+3DEFAASjXtd7DERwm4va72HobjvCnAIRjJuFNHfAuDCLfl5LROeEpcVS2eth31CqeH7d58gupG7HBUEnbrkr1UJBpRUXvOLEt3I6GT9McWNFDvD7WbdaNmlccSHIeHFNwOJxtCEqXMmb1f3m88eEjfjFqY//xLM//0/zwVDaP1Z/VLSiGbAABD7bO6yWLPEcMhIGcIUvrDDYHLdNsVU5FmeQV3HZ59T1gwlCjmXL6PvwW1lvXW8nezj3TpIkpCdQ5zU3SZyc2vVEOT5zDrYPDhc4gwOqPCKg7Fs0tUEAfd2JQwH0nmISPkgZctc05CWJTIqJ+iNLjkLv5FV/xMHXI5ewHBTpaFhPzfPN8nEp8dIVcUYx6OhRTrHBVfPqIZ2UQAAACnb2o37NJeDSqAskSDaBHnnfGMR//twxA4AEtVhXew9LcJ3r2t9l6I4hrRj2I/s1xdTffxlXOc/+cY69E3XPqkYx2tiHOEZoVmSTRLR21xgkumiK/YoF+qmdkodl4z4OE6uGCx1nW8ZaqPl/vx0pJGa3tZdXHWHrSxYswlt9QmVjOn7d5q8v9phr5MGG0oWvCObvrP0kcYNhcmxhwJAlyQFyrD+/kQ8sglAAAC8tRy3laql6IsyJwRFkwTLHmZA+8dYJPurDf9pJLHa/iP7wCSI5DHsaCwSQjPRm8+r5IpZmRZf1Cu3B3UfM8Dd2WK0wDBJhl/iSE12kkTa3E22V0xPqZaqq6PJaSzbLPEDglJRxh0o9zLNGrCCxA6meh304FSKV3Dw/2aNm4iWkB6t1jB/cfxWiEoPf57/7Estnbm4wXW/16ZnNAQAAAdY9f/7gMQFgBRpe1fsPS3CWyurPYeluLRihkQkGqNDDio/pUQhpLQozTJ9Sv/ZJpEH0wo1u3LVuLctJ/WcYkqXlKZvrUisMczD+O9wN1GsOhXsywnGOyCuUJGp8TgwQEI40BBoyDyNjIkQYF7HbPQBCGE6NAKlMMEJtA5khtPXoC6CNx3VOxKWZL3suUab7EE/n3zbTd6RyuwVJ7nlz9R7Hu5dZe9/9Vt/YVNCztX76+ndngiBgAAGWRYuImjUM7SJAlgoEkJKmzyR+XvPctp2a8ralWHVI3xAZG9OZ3JbClan72+93LJyP430gyomCuVMUNLeMtvCHobHu7E8OITnHTCJAhghZO0pgYRH5KO4eQyvCDqefUqpRv2eRb0m2rPyYybDGTZ+Y7LjKv72UIw/1VH1CbU8kg2pXn/9pui8WdKyIV4Y6r+XupdBGgAAO93cWhSnMLDBxH1R1bhF1UFhpZXj8ZjPys5btRdT7tlR//twxBSAErl9Xew9D8KmMKu9h5p8KpDcRNyemXOFu1rpjLGxsDuI7SGF7wcUpFPe6pIfjGH+3FWt8W66RmpEkJznhCxMNWpFWk2mqBloQY9bD4UY8TmJwdJJRrQ4ybfOQOViIxzo/MwOUCjx8uOl7m6nioofN1U5XpFRUIVaghbQQ36upmTEWAAAFmGr3gCKPoKuaCRIW+jMztgjttNlkAP5GMs6bKZu91vNcoxfasRpbaeH87har6TvW8ySwqwuiWupbywaR00rSeK4o0G7Ui2rqKVdJE8GpPIzq5ffskeK/dKxRuKrZYTEz6fUYocfJ5ty7h2w4vITzaefXgOB0eysKQjVNofLeUBWPFun+nuznoUw56tsnKZ/v72R88zH+47f3f/xIsuSVOtVz6mImGIqQAAr2XS1g//7gMQGgBMle1vsPM/CYK7r/YYOfKsFMBTtHT+Xq4F5gDlOA4TkS9vHjE+aoq3WBH1jmsrFTCidW0O8nKQ3q/3S7BFeTDucD1YYto1ujHquqr0hhMdgowuUrBEapo7WmdgOEaCHmQWgm/mcbGuEHf+b8PE/cPUFobiYNjhkZXkfcN3f/qTitqKu4GbMNC40rXZ95mxnzvXf+m5pjZpL1sm13/RNVLGTAAAC0FWadpjRTMIlIxAeC+yz2Que/rWH4m5dSaxjkF59mPp+kw92bY7QplgGLs2yRM8qG1nysNiQdNfzsrUra0cC7w0Pmi3QrqVSKjudsX4cnzm5wshoSdq+r4WWsmOjkmqD9+zy+BDdQ7nHRVBsEEpAoRcjrm+FQ/01KDfVCk4xnkZZRNv2gLZE1NIdHUwexvqV78rIqGMkAAAX2SqGtzlcFFViXRehlaeVRpDQ5Damnji2PIhLK2rcxaektDCK/wUziMvy//twxBmAEsl7Yewwc+KOr6u9hiOUaTCUqyJB6xGMSs1F3cUnqBNEVB+eOmhPdoXC9iUlI3msoXTRA7aH3nNbsU/6OOv8lnrdXNzV9IXrRYE4gOQSLAcBgELd6Ov2cU9GBQKJZG8/017g1c2WCW2LpMDGP0jzlseJN+6yJZCBgAAE9n7EnhjTxmUBcwuw0ouNQMigWXs6ygqxa+X1Jfq/c7v/iDTbe+3O3JqPOtY/H9QVGG7tYmqVsdLT2K+Fq1HprJbOoujUy2Ljclk4/OCEYjgJR+7A4bMnkSFAp4unzBVXMJe5lLGynEazMNY+60n2FeqmCcyWOV0H0UGr9M2rl+76/7sJ7uamYv+OY/dzGxlZMJBiGSMYOCKJ/EqvxqmXQQQAACnkddK2DYBNllnJgNoJGbosd/XOcv/7cMQOgBLVd1nsMM/CTq9rPYYOOKArERxEcuupH2vy+Jx8ctvtwFxUUK7f2C4RRJJgHnRpgJL5OdpUpFBsGiu6LkqsSiG0tE4sKXI3zhNGKC7CoHUZbBz2G+IMOFlm9d7Lv4LedPMI4XuGdtTpzs/5fQ/9a5PfHN4nW3697/bdp9bKEPmf43rRIFP2WyNVfjxDqwmQAADPAD2rsCBwCfRteImI2KneRS97pi3TSCR1LlDLT5ZWB9rmYCz+WmYIQOix36T64dDARjdaXyOdMkOnRkJFQSpKhpx2T1hydqkyQ48TkFi2oZ6fN2YUd1spf16q4+ODI8lvSJp4cHcIZgl8kDHPzJ+6iECH9hkLJfKeHn96AwT8EnztoIhQZWYFWQBmqr/4mZcQBAAAAZs1dHBOoQHFyEzy0KT/+4DECwCVsY9Z7DEa4lCxq/2GGfzy9GDRhz407Txy6N/8zuMUGVz9/nNwdY1Xu5XJXEnNw1zldfbqvBPO/YbrPWqBNU/8ahmfBQhDQI7xVH8MTkQx+KRNMFYvLZdHzgnE+NDMlj8IkJmiIXqiG60aj2hqfPWnXzMhTzxOLvUqoGkjmsSj1qlLDoWL5ucYidSMX64sY3P/NTX8ZbWNQfEStVqlMHB3zXOfrXGibfubqYUiAD7E4HbpBbxDGCzTCVJogrNaS68M5N3idPeEuoT/ImqbPRm0Wfu2Mae1X61C94uMH8bivqin6uHQufVUMiFeAnNuvBS+VDg/W2bGWNAeSeUMiMaD9LJy0j8SlU+jaocgd2zkQlwLCnycaD8b/w5bP+3H63qecnnuJpzmV/37puln8/5d47CWn94+9VrIhPW/qJilQgAAAAWducAyGlw4ZXFkkD2RJZNOVNB8CQ7AcNXcs5RnFqKpQfr84//7cMQWABVJe1nsMHziVC+q/YeWOBFLeu73lBTKGh4VeZ1G4v3BsRlk9AE1Z1GL+p+SyjbM86en5cIxRFQAQASQvj6QRdg1r4Eik8OVidxlCMKqvMzIf15gVoUS7r/Rs6TFU3PudO3F63tKvPQd8yZs5bKY3R7O0WDqHLc0WA8Q6m7J/4JK3CG7qJZw4lz82qVXem/p3elQAIAABnWI01ZSxrAgMIgOc1xClpTBW+i7v0j9RXDVaicVLrEX+sFhpj/9XxBWv5dbjKQxlyyoZREP3NjXcfcWkGESCMiUriqqcpFcy2eNuT3frmlTug5mkYX2IdZbUb3CRxYcRBIuZiFu9WCylY0jsR2IOZaUVu5iD9UMZBWyHV5Hb6j1FD0YiujbGidBgR7K1b/3eKVUFgAABeURYSIswVD/+4DECAAViY9Z7D0v6m0va72HmjwY4DR1ILQgR+1jt07KpiBqKjbDZ1en1VamfAKkkzPWPAkwUJczccb+3PRN3XSUfFEvKymnKsI9ib7VcFtSm9KtUJhLnbHsjEYiHJtBJkFSQfOMihlVkwVJC1mzb1VyE4iw1i8S60TInQepuKQVBGb35WNtlYynLbY24/WaU/zHT11RrenUsv3/4rvZlt1HKna6UvCoZXltrX3HokOz7qOp4cEAAAFmvy1pDmRwGjZCNEXS0F1XffSGaSC31jsZmZZCtq1Cmr/4erFPe18QJThp/qqSjMRlobAZnskdJWnY08VzGfuIcGNRvcEgfpIOkFZM/nb5soe4s2MQIbxh3GZ5oq61LjQo5gIrTidM6JIez1CqSJWJfNdoJ82G9XH/zPP/7aXNv86//v372Yzc3vGbjfKdA8pa/pXPyKqXVAIAAAfdNpi6bUkMjRky/U6EqFeSx+3Ai8di0v/7cMQQABK1XV3sMRHiXy9rvYYaPZzmpi2JQ5I1lZm603vk2nkJEjtW9aJsMgaUonPKxCnaVhI3FqE7VP3bVnBNGt0ySHZEjKq7SKZo8P4tWpb69LbsGChBwWw7VTWHVFHarNmFIO6Nqb3GieKjv6vcR2H/UWPhbmnavnj/mRgNxFSBhhJrJRpc7G5+zN1CmCAAAK7UVzsBd2LAkoCWDis0bM+SqkNt478ogCBJ/dquWUjVZmZLgfcxM2wvlM0r381A6joQJHsxukIVq6f3uIPrV1F69ecDqSoBOT3XPMluUZ/LT3LXk/2vNYqSleoTuNoyrpEUTa1yCE5JeS4m3yB1X/D1/8KlX7f4ZaTyzb2+t/nPzGvd3ca5b9iG+O9fAbyTqs/KuYdjOkAACeIQ8piy12AJ8IM276H/+3DECwAS4Xtd7DDR4k8vK72WGfx4YFYM8EsvR5+akqpYzw3Or937w/LEqZa3jRifJV97UljH1hq+Kz6NeKb+2yrsdWijk5OkTRFRJI9WpXkp9IOLesudedSx7S/Liod6RNsibGbWikTEcTySsnDJyti2Wb99/W/RRa7761WEBUtv874rPvZI1D/5v1o7a6RtYWFn9I/f3LqnYxQAAAfZM+i+Wdv0aBwDCBTbGXGWDbeCYafWNRm47lkqJU5vTMLqBafvuHD6qnv/JARSnJPkGOEplR/Kn6OAV+jHk3TmzkkSWiQevc8Yk0D73CYAGnwnR0c/EMzAcMZum5IRFSLWUleJq3LtCsvyuvDRv+detXyvNgZLvPdt/z58/SZVeJ/7fzhQFeJ1CJ2ur5l3ZlIEAAAb81+rtYNK//twxAeAEQV9V+wwccKfMar9l5Z8iUxetXy+3OutrA7rOLyOyLGmgKkTOK79MydltzHL9JeQIbWf/h6HxCPjujA/pnHq1O16spKF/gpfmlfGKWx0teftn6Zcz1+utWW7WLTsqEP1G11mMxTBoI1yITSSObfuffCLBMMXzEjd1CypelH0I8/QtPhQwobs9md7vFOYgQAAAcl650stgxE61BUV2lYXugdWtw2Xu0yynd/POhllXG9j/+5NMfG74lshOJaSeAoyGtnVy5bFWwlQ44jwG2OplNFmRrxgXarTKEph85xIJuqqVa0RCEwZ36+lI5+R4G1XIjmRWXhrlUul0+YW1zulstMrTHxc4fCJR5HD5zsH3DzAVUQg9xqszw2750GS3Ofv3uVXOhm90MYREDtn46K0Wb7oiv/7gMQBgBLVWVvsPNHijivq/YYPZJUiFAAAF+u8zwOs6pwSWUL5K9ZOsZHx1HxfrB+LH8mbrExRqf/KgS9Mzf5X1U6nkzq494jFEabJx/O5HxWaAkZ4ZK+vzVZnG7a8OCRiaWRqZmC1zzh3fSVu4NUsF060zuhMnEXROCB5nIeUFsLww0CLbxWt2tuFa2a/fed8CHtmnE4jcaUvH39/yyhkc5JVI0+Y0UV+XTwxgEAAACz7RRyFTNLGTmY4gaCSI+S9d7cYEpHihmHK2UxTzmVnD//cBPw/d3CYvZx13KbWXObXzHaFs0WoHwiEoLod0ueD0+tHe41rXlvlRsvC+okDysP31x8yGy5Nis1Lly8tQk58dORLFjSf8NZOVBzymJAT285i1Qe8v7Wb0y+pHJ9qUVJz5V6B6ooLUUpy7n/z9oowaILsFWH71ts1qr+6yIdhRgABPegcUZBRNVEUBL6GSEK92bve/0MRgWlg//twxBAAkOU9WewxDcI5r6q9hhY40gTS40bWnrUw1DCkuwTtDJE1lJ4pnxTH5zrGi9w61qlNqV1Y9l+ycwlxM5AxyYcTWB7vCkMrVLZUyIo4XgWgXx6RjzDb42Gjh7jEqR9505hdIjRx4/kZciZvo9i4iMEKyp4F9zK0dN98LEMYmAr0tY1IWWoAWoAZaJrN5FWVvp4IdZyKaU2NzM2t9nopjLx6Bk/6nXhshn/ZF/nZ+EpLNWTttM8NNllFXQkhGKRAfTW1xeo0+WN+uYU+NR/1n+avStOS/o1TqNeKDXFiyxZT1IYLCBFUi2M0REB7GYOu19hhXjmF5hiqrCTuf2xA1chfJciiRNSavPm2tUM2AAAHmZu/3x1pjYocQDT0eqNt/RsGgiTxHKzjJLeEvsa6a0HFS15Zvv/7cMQXABKVeVnsMRPqby+q/YYafEOjwm75tZknBwBIlwEuWZKX3fLsbYb0EES2GKq2ztZQSiceP8jLMYke0u2hyt08sfFZYWENbVIcHXF7eij/YTJd+VdogFuUOc9e7klUx0i3fWZQw7iriBLbR29zHe/7I9/Uc/fyUD31s0O5kUAAAD8NRRUtNXEEBws4xyD3meqHK7kP9Wu4YSSxJbdL/Wpg/EllK/0GoYyDB9vbSch+PAcgnQNSSZQJ9TXBrGvDmTsDl71VqC2O5cPEFM+cPqFwuPTbBKfV0Y1TRKmPSmfsMZziuqu0eKrpFEe9dzAtpou/vQ4R51MsZjb8oP4mnfGE3Pz7j32/ff0FvX83FM7w+4qiwnXfyrmqUyQAAAnSoh9xaF0SqcaMzgsyoE1huLEXFkL7CoX/+3DEEIASWYtb7DEP4mWvqn2XpbjIrhLdTLe/p2VMx73TkZYS2br1Tgfl5NoVy6qRXgmjVn0MwfVgf9phCxQJEFITqra4UccDUfi9mDjBWCwu0lh/kiQdJcjJhjLIH9jOM9Lla03hKH8DQ//rMECXqDzkylktCZnjqG23V6WI/ub+Rptf/jK75mWQwBgABHd05SioykROBYkSPIySJCVO42KMe+8dVRNVX51BF9tf4Vqozpnx5MC3KqHWHS5GDXPU7DoWlTEVb1RUlnTGV2jrp1AI1VHFCwAXSHzs1WoSLn09fbX6C0Rjki4+hhJnCzZlCebrzYj5enEuO/S391bGHyaD//oSVVB1W8fAtNyfnBqoyuv3aVv5//X/vdun3/QqzvhnpTQYAACr0w2JNNg8hAImHY6EmRMz//twxAwAkdFbVew8zcJ/K2q9h6X8o0a2Cv2tZdPm/XVC8zucSmv8GmofKyZrh4hOdXn1GI1m7Mfh0JxVKCErfC2h8N+p8K1IJH7IMAQ9nEufoGnaVjnXYjpm4QH9UDvbS9Zu6hrbcaz8oPm656359H0n2s/P/q6d/bb+Wl++Qr59+/eYmu/DJEOs/pr/mYhUAgAtcjqdEBJLHcqrTcROpB2MtmcKApyGpZXppPWV1M7i+tD9NeE1w4MSDsexH68KkAKJGLowk0UimOgx7O70lUqvYV9aZ1E0MK/MpCenhEkWmppb0NF4g6SllbfJGXUwjEEmFCJwpEZtuSVIEp9NdRHFKaipqJSMIShan2KXtM/f2GMb1v8zPE3tZF2+rr54dagmHkDLHOO+veNqz7q3eWJKAAAV0iH0Xf/7gMQGgBRRfVfsPRHija+qvYeiPK20pJIhbqB5McqnW02aQaelyXdp8I7Xo1ZHno6s1GEPlPP1KontZW83Xlfi8yKIarmscqrV5CUo1q2O3tb1+1pVHtKZjr9myM4Ku9zzmb4rgtxU6lmW77EllzujtTzuAocNVSeBiiy3fQ1tB4dAaY2YJFOhA7xkjrayErmRqQIv1fjDr0ta3mv/QdJLTCV/FckQZqJ+69uXaYYigAAAfbdr85GXSEDzEVAQupv4Ca5EILa/FHHfq3yYhw0Ye/Nq74PZraiwWCWyIKA994xHjxyGQy2CSocxqZx7k5wIkWdtGg9VJcstVtMMKFAR7mwq6ykVXPxBOV1/UXMGtUIkhRAkQH7B+VJsR3MFB74WXEJCVHVfY9mUQlJsX6eInrIVpn1tCh89EOPtCl573TUdVdehyXbMbzKlZ9nPurmoYkYAABnYe7mUXtCgABNUalJeVxFbWsR2ZcCn//twxA+AUel9W+w8seI/LCs5h5o8pc6DCYfv6+L4CZX0L37wN4fSJuP82jNpita+nHa8aiuopNa05+K5ulai47zN51xWO3RpmuPAnwUEVs7hI/xi1I2ZdQQ4TSo44xlH5hVDvEAkSIsvURqLhC87ojxRFK8xzVdViByKZHspIi7t/rocQa+6OenQxgCpPssh51TeEvqwZ1UKKzrtXctt3AjFXPsrp3LcOmvvKlQWs1+8pMtkTGK0mPc1O0EgVb50hu1ua8VWxqqmJDKhmZtPmtvbIEBm8V3AtEPhYa4uKY7dm7nLf0xcJ7ZAtFdG70E35tigoJy2mNfadkn3OvdqcNT6/uQjmH//V3ktvbz+vcVZxO+z6Z2ll1MwAAAAA9tJl3VyRIVWSjgklCWvZ9I2vYS6C69Lerv7bv/7gMQSABa1fU/sPNriUKtrPZeiPEEfkfb3cbr1vnj9/fx1pKKSl8/Wt0slJUp8tEQTKkfiCiYCYz4bUy6uxIU2Ie4FuP5K6enUiBPw0NRKKlClXDkcR9k0KeKhNW3a4YJkailG4zoBpTx+JbS4q5sMz1XxXTBGp8OA0JRsCRSrQCsCKLwuQb9jJSKYr/O/8Kj2k2wdv//bGtBpqNZpnnUSVYVDBtFWd8XMMqGQAADezZr0hsMiEU6AlmqUKun2YA8Fimcmte/LkNQGz+byNcpj4xnP2ulIQ7cDzRxTWA9GRlSkqGq2Va80FgjdfzZvqv6rU/5WCE5ywZ5ac9VTJqBZwvi1sSt8E8cCs+ToLUyB55bW76OYLh/9wLXG0s0fhzHvh6KlLSKgzGzNoodSjy/HeUYNeX3FTTtXpc/ph5dDAgAAK900wW8fFbA7hJASa0WvKWbSRsECQJOyjXMpUroj++vnshraxGp7TrTZ//twxBkAEiFbWew80eJiL2q9hgtcfGtUKmPPpmlmcnPatpfDfZy3thmg7net0dNtcDsDFvXwYbPmI/gK/d6+yelseBJEyiow6fCMVcJO2MkDYyTFB7hHERQH/B15s2s49PxRr+cPPy3Qqev9m9oub5Ys3+iu6beocQYAAAnirYo0+yaBhJmX5YIIANLhDco+0hvIYoqa7OS6/TZd5rDOVQq32duZ6oXpq2Na7i0V1mqs5n8GqQdDhcELzr0tYzV4qhOguPO3ID8VLItVlSnJx/fYQlaFy9JbxBWtdVBSRu5ql9Jvu11n5u6cUuVAo6x2IgbRWWayhRNLFEsPBusHd+tAF0bd+56s4Lzx7qWsqZd3Qg4AAAVd1Tegsu+IYgEjdGtLFlLLIXm3KGn37+EQp3cnrdvWNtY7gf/7cMQWABT1W1HsPNPiZCtqfYeiPOZmFsdsSFQGAKAselJ7jZJuO0UsqVYMppMt2T3SpUZ3sanHNEuFRGfIVtwKgf6lbjMVcBVmc8joFLHQ2LUM6ZV+HDyW5+xtsZVqZQQIjXGkno/ez+MzWzrAa6wqmW7qMMwb30P/3lURfb+O+zuluhtRn/zylYNoqAHX61Vs3LyqiBAAAC7SmGQ3FIiMBTuGnJpu6/DNWHNjj0Sxq19U1KmYzy+vqpoOL/Fc4+TPdZzNu7IPJSDfM1JmEwIY2kCoxrtgc+XtArpLuC4a472VHJ5ujR2lnSSzx3RoMBjY2uSDSEyIa1zzAfA+SSPLs6XDlJk1ZzMWnu5e2k9ykfvHX/NrCTGMvQ+funlY//o42AytkDDfd3K/ysuVYhQAABff6nYDD7H/+4DEB4ARzVtX7D0R4pOran2HsbyR0oBKCQkzmAMNcmFXnwgLPudmYpWZ/rOvaRUxIGMy6zk+N0zW1l5Lnwa7Aecj1jqYetwFqK4n6s7U/gankqVkF45w47fO4TGBTbA5XzNSfb53Ad54WFVimdqH2RVn9TQ0O6Qh5QdSohxrQjFf3N3b/zMDBGv6VOIv+8oc/VjiN9sVEKZBAAADOzVWFpbEkPQD8dEJHGBMlomJv41x3E8eDvGISdqwzXrjOGIvMHaGWmzRHGPnMPUA+FUnhFRyK6jMwQi6dWxGhZUqLowkmfO2l0awRyUsUJC02nIkR8EB2sJ5+ndavdCNIG3bmZSRr/Lx+pfvXZid707sJdPok8GOOzq+8FVufeG85lrbsHZdqnZt/mzjeVmPMmk2dQMTgVwU93Crqr3Jx2UwCgAAB9HdFZwIafY4gUeiKcuq/zgrXZ7BUMsriH61H5M6vaut45+E3HU2qlFKu//7cMQZgBRFe1HsvRHiaKsqvYeiPDtTlyvLuujYbUmvmYVsV+rYQw6x3h67ULVIfBOVW2uaywYNisJnbNp9SurjTLyaeFdDRTjJG2sZalpiQ+DYmzIMHKPgdVB26CXG9GjJEj1eZRFFcULf3ipkL7GpufXpYyP+f3NpPqa4qapsg7l39VbEy8sZDAAAFPbguCJfQFQgGKmGhMZVK06WDRpus8/N784/cUb11nXzIvKhsrE1PJGSzx7mJqPZkexrN7AeT7pp3uCwvlannEqiURnrfmykdvoTMpbNbDXQyWd91rDr1nsr1w1KI2yw5c+Tx1jIEAxHq5G2SIR5hMFCQ0xi7DAmHtwic/r38lXI4qY6de/iPxoOpUAESywFyfsqrseXhSEWAAAH14MgQTMueA7qV4EOIiw+1pP/+3DEDQAUIVtR7D1v4lkrKj2HpjzZosfht3pDc3lgnbHruDF9LE6LRzmq14XDdBlgZmiWP9UsqrNNIJCErWM0u4qFVNiLJDKUCjVjPJVuilwVCo08vO4pGQYjI/Cch6lFNciLEg3OFhScz7xHKlWPls5JXZnlSg0iHRd8IUVFp36bVS7tdMyrZV9o3s3u/v/1lwWUekjrjp3W6iuN+JZpIQAAABek1eJQYoGHkS2QHNooVI2yupK3Z1LH1781pjlhZp91Yk1vO80bGst1rQbd0HeqGBuRaobjTYlKXWzMiFqY/SqVVFBWIwWZ209YUkbVk+wvtuBY39k9VYd5tqLPNQvpcaLStiUi1VfjtRg2N6dt6vjU4K6iPE22kizxnuYnP/a2y/3cby/X/j96zyK3N1KqnKd1VREC//uAxAMAVdV9Tew80+J7r6n5h5Z8AAAF1zvhQzsoCNlz2ZsnZ1TNvL7j6yp+5n9y+pLJ2RVfvWUSlIbHqJNY/UysVYWy9xoxxdw/D8OtfH8hqIGw3sS2h75ShnLCOBEIe4w3ipPUHW8S7KhcsU7VUqhpEU4PGlhVd6p+E/SqkgMkZiW05B2TxMud2FsiP4KExbt1hIkzqQcL3PUlhjefSGdt6afS/Y+NRp/lNs/58/9Ib2ft4ef65gd2Yh7QxOQ1OzmQ4A3P39qTJUiI1R5YcOGzFds1Gm7sOgq3vctnoHnsqsXVsE9TMinfqy+2wuzvUGXuZA2YuqDYDqKpwW2Yo4SwuVDI5NB4nOKx+5plW5YWBVu3JQuT5SuT4EkcjKuoUR3Dg5yyOauYYsRja8MEVJxcZdvtbbXOnap5A6QB1VTIVygKGEihhMmmke16QgD3ad/+oqhT20tkWLaZGp24l3QjBAAAB+HIo3eVrDH/+4DECABS6VtR7Dyx4pCuqbmHpjwVDGaFKMt3d9nT/z0lj1/X5RDJQQlpvp84Vz+NBjSXw2lzVdNw5KFCax3lQXpWGw/cW0tl3OO17cB3sI9yGt16ywz6hxYLyW7HBWqivE0adqp5E8F/AV7yVxKDnDm4IMYVhWxFQSxAaKjFViOWYRj7mEspajqMrueYXty0R68LK2mtRJeevbrjaiHVjAAAlk815lbdDCoHVQlF8tt1lzubfmgfyHu7kdJOxRZf8YYbes9btSJG03WveZwYSLE8EOR0dsa0KjBh0c7IiE8XK2BMry6bWCNOeByqaE8MZOKKAql2H+WjUwLcVN3vdvTjmyOOlkSSpRgqiMop3lCQZa5SCbjmdhOOXHYL8kv0re3XaN0zl/xio10/HGrz589+Ld7/kb+3nbBAEOT6Q7WsyZZnUgAAABXgapFKfMFAZkCSJsP687rzcRjsdciX5XoJ3Fibh1+bK9Z3W//7cMQWAJKVW1HsPNHiVysqfYemPFdYmfMskK8Wc7CbHc2MVoeXsNAs7I3KWi8FqgAk2DOmpyb9FiYlqrS9W2xufhTvZ4S1RWR7beLmkFW6iYt2JIUhFWroN3FOWpFFOZLj9BJPV6/bf9zGa9/+cCX/3Z////+yx3dSS63crW3UVDoYgO+VvpHpDFxmAGUkkwlz2Twy16TwXAURjPbkQoEqvQZabo1mOz/7/zU4UFa0+o56NLhBV0kNznimlAlc3lrGG6CXsMsCsqRY2qC8ZYsXtUCObqjaYK01MdYXhs2W2J39SbiQaxHUcn6ZhXcyowjTXS1laWoXm0/Cke+Fxmz0t+QqiJXc3qLXdb/udIuj0oZySoynxnQiCgAAB+Ba65JbRFRRUHLw5jJ4wsJk/zo0khy/KPxRbez/+3DEEoAUnVtN7D0x4mIuqf2HojzNd8bbSQgi1OzHc2R5Ws3GrPhUcTCPIn6wa80NmcUkJrO56749XOUPk6mRmbVA/QodJ+oiI6nbFIsM5gC1uMrSxIjcR6yoZpjywHGW9NKCtk1LVjdoDTM9icUXfUpu2VU+5qdOs3Kryf476q7Lz++sj/W//+2YGWcNrHlzi7KcRVnTOw4kBAAAM+EUd+EJHCIQdEABRElC979I6DAXsnZ/9yXqSpFg1+rogeeIUPVcIlXs+afMRedsp/nTNGZ1trF2tSAhL66Whm6HO3YaGS6bL9BP+bcB/V1GIw0qlvW7HTi8WEuXUN67sHo+RFBWYj0VEUo/Lo4k7I5LiWHqHp5e02/+OjMv91Fb1WLKue//Giv3//+ZX20StZy4iJYRBAAAB9rU//uAxAWAFTFbS+w9EeImK2p9hhn8FN1dxUoVeouxxULAZesaKN6w+EyeX65GJO9UrZLJvfRRrvmxigwIClI5RwmqNdXIclydKI7bFEtQLjtetqkQpsTh+RBdQTzNEXDG4ljHuhpJotEU5QU1GE6PF8v3SKehR29Uq58vvjRENCRynEI4PTZGGUwR6mINMNcWHQvvixh5GKUZxMUo6i+I2hqmcdYr/X/bicOjo1YSJ3YrTeBb66mJdCGAAAq96mgrnZY94dAzjdpdCuYGWK2tBDkYik1lx6XQsn7N8rIoDJcw1jGuDqbw021zk/dE+NWJiPMC5i2dSFe4JoZss58JmVm3nILlqFSQCGjS1GhM7DTJqckVa4uR/ad0tlpUdfY6UC4Y/fdwcsv6Y3l/633rbl2LS2qu2b///90/3hach3SGQSAAAAfbWGl2O7GCVRVRAUFqlkbB2XNggV/JVcszKtgjqVybZqQl5ELMWBr/+3DEGACUsVlL7D0v4nSvabz2I8TGWtSJ1mv6wnrIeaeH2WJ+TI5FbkNtcsjaeq2pyR6GWThha07CT5zCpWU4jDieRmEyJgdDEg+Sqj74NiFGhbXTF7D+mUyBO24qtz1swudpRImTXnUIVeNE2Xn8POv3Vkd+3HWKjDKTj////hQQIFwykeqL8W6YyXh5dgIAz3Y194tgKQN4iAih6hN0OHpOtDVgiENcmBUsl16fMl4Mhly3kpTts6mhwswdQDOR5knCbkGpwvmIcjU2xMK5gGwwmeqYEZlbF5mE/aUPgpZvXD1f4FxgR0MfWXXVvMGHpy1BsiYWAvHqSQcWKcNLUwy0oVtpNVTRU+hbpbmEjnyblnRgKlbqka/j+Mod8/f8fUUWzU3oWqzKh4dQFAAAGdnTRHYsuCLg//twxAiAEq1bT+w9D+Jtq2m9hguUgUiw8KwErbWMTMOQ6y+TRocj1XtUKWH4Ep3K+sJ1vcr09TyjQa6jHo9RC7euKtgbqW+CqqtsJiRaydo82KmnqSP8cje5ZU7qPURxUDQfLGgwpcKhJNKfIjmhiFFxLTMyX4r1O+Vie4u5pC6UnaE/ra8WqVvYeK890s/X/kmi7sVvY3+hc5d4sKIAAAAC/GJ1gkoa0FcCFgbFA0wGkjJ4IfFxIdiMt/cf+igLKrz95xB5OZcu7rx5+Y9Vu1L1tsVV2aSBbcRiucffy/DHM6SnnbyyRoXoReqVAfASHYuNYTKOEjLwdBmTrGrsHP1OFUbF1i5yPl6Mwt9usq7fffzBpBYyu0qFKIMGLVd0jJCtqykZu5tG+DHDoAGsTFVHNT+mm7mXiP/7gMQCAJRdd0vsPRHihC+pfYeiPDAgAAAJ31cCCJatkR2Lkl0UkohFldwdIG0h993TxmLtM1wnUG24kBXFhx6Qa1VwUqUmf11BJgRJ0IWnm4oTziNCqiqF+XNmP0WqYQcLNt1K1nwkydKVQqlQOzKgx3aCUb6AgbUnnmX2SBZHSIpogqaH5woYb5EjzUHOaMuGfGxdJ2Yz/S+vjx1VzURhi6K3aZ4vj9T7ueov/zaJhz6bVzmRCwxEQBfkTfqRsiIQ80FNiascKm3NYJJpdRvtFt/HsUcl3Fvh5nbUG0fxKaeRy3K9szbbiW41HEVxZaEa+jK5SxkFVNKqGhMyRPxxjwH6uNBUQFpWJxSKvTHkbivQ2RUz1mm0rJWOWOgJmg4ND4TmjjT0kRBrh2skmnSMooeuIyIeQJDlpGPn32mCfu5a3+mGNPF/+Mib/6+OD+VJ+6gZi8mHdhIAAAAH4C+Lv66wLenOTHXcyeGW//uAxAwAFJ13Sew8c+LOrui9h5uU3a85cvcqzD+e4nLbLKbkfxnUg4UbfMzd2o7ChR94jlLId4Ti6W3i6D4JurVOiI6QwtsmSYuZMAW7JDTK6KAnBXnIXOA3oQ2MD9xEmjMy4ZVzud5Hb2qA2RITrKuevMzUZ5sbjysuJJN7Bvyv08swKD+a5yYzMK/ZLR91WCUOzy8MJKHJbw/AjEwZv87W9YroxAAMAAAHtIfZpssVYajjRIkqxhsiZNDDS1ywxKMv5Ja0ZeG1M3+51Fb6eGY/eeKRU8GJSxaDalFnC1kt7BqbifcBIInCnoYZTL3VgvOBKWtA6hgRaEpY8QwAtAFBSyrpjSijMDqcEIVkq4bFzRgVjYjIMVJKqIdtjDoeyuivWzWYMaRwYZWuDpk0lUtkNQdJkvOV7jDGd8+/560Ql8d/975//0s319i3ffCoPBagvflli92VeRAEAACp5HrfIP4TI5VsAvE5T5T/+3DEC4CSmVtN570R4oyvaT2Hojyla1PR6Fhh/ap1XWPL/rKvVbW/eQXKHLMgPAvio7zxSRxHEwuTtwYktVbhp3T8WRqTgl9Qs0orCft6pdI145tjLO1lYu8ZZ31JLQ4e4FRg8XAaLHYshj3JluPEZiIDEoR2klJZo1ojWVvadntP4uA6Mi/mv65/G2NvotNnP6ouGlnUgAAzvO15mkuogvMCBZgn2g3HGcvPD0PMzouYfDVPRwnh29sk8ZGKV8ufBZBX3ORqZ+qA+VGh5CGXS2nGdrOlRPKxlVCczEPRdKVsOySEspwoVCdDCfxjQVC4hA2gxoUe+NsUVZZHF8gRIELBIcJChuAuOpkiwhVivgocKcCEjOcgpn/F33GazTUU0KD4V+kG2/FfHAg8X//393BJ73Yqemdl//uAxAGAlkV/Q+xgs+JIKym9h5o8UxAAAAAD70Ax2SS8UOrYAAJ2pzqmgd7qbKbde9clH3nbiU9Nz+8bsWm5yrnS2eRhEuGpq1lSzSUtO7VNQ0lI2GQTqDVl/WkMSdaSiKsTGQMhzib0u1Nq5SNYW28PojQA78MvrDogiy+HpFTy5t6HtJTNfizRohQSWJQ18DyGORGCKC1Hc69aC7meMgHCY9EMd5FAoiOYOahyxXa1KbqHR1df/EClNWqL7shhHpnIxdbU3EqYkAd28fxLx/YwDKKal0GVIhtOZRE4s7MebvTWs5iWxIlIMb4upIUeuKab4ZITxm1LVzbU2O8wE+mX7FX5yq3qsmnXTOVSWjWhxnjanNRpkwci4i6yiSnhw43xqK9ewJpHp0Dxbq6KAY9p96gjjYBWQauzM/orKv30//+lJ+eFvFHI+9xl6b8/+cp9fQsAVYuYhWMgAAAACduTX70RlxnSQpYWpFT/+4DECwCV/UNF7GFx4sCuqL2MFnzzMl/xdoc/hBVLaju5bK6Tt2e7d5BjULdjmrbZbjB23iVagsSWAYVIC7bZHzWBYLDUE9nGmWFM5DQJiSBDxYZ9oclc5nE3ZeJqD80S+MoFoY0MKTZfqXz9NG8Yjhcis/MOobCVEEEgkzQdZgVtTTYq5OFOTZ1oHOHa+d0nexQ0iIvUXTZw/ZdxC2dPB4Ue8+DD3DeTE74orPrREw7MxgAAB9g0MPdKKIQbAYUx00XSZszl5XTd6A5+c/COzcik0Vuz/3PYaqGzqmu6qy5Ie7O1aTGKVVvyKKyV4nsVqf2VwHGqs1RRp42GNAbgt+V1mZNpFYmjU4zQIm2Nsl2kj8YIVQ5Akr+PRi1Vq0sD45x6xKHafSNTtvcul351Z6rYps+W7BQYNOuj0HiQDM0ynqjux1fFlZA4WfGXVHpeJsh6W3d494MSimWCtp+Nt1djMAAAABfkL/I8s//7gMQHAJO5WUnsPRHitC+ovYeXXEcYyCSKDDrGnW6tZcaJVJLKt7wmKFoZd1trNltV/EOXWFGcrgr7o2G3KQ5xTDTP5U6OhVPIkU4zMWITSJysK4hrG+Y36qkLAe7ipDxLsol2/ZBvDNWV+C2N+qbq2Q8v5Cp4dLTCx6pQgVY4k8aIbjBGIHIsRzFCCUOerq5a/m+ftuQxXxKfzf/jW/QdMu0+QebSnZSAABPLWmu3XepCYQDVrUfL5s5hT+xxtrc0/+c/HMKelvYyPuFC1eKS7U1YwrO2lejDct1qOL5QOtoOK1JqDc4DhKvRbeZDO04J4UvO4oGRxUprHufwTRG25xLsbzs+XNxBniAncmXVV1hgvBYcP0x0rHlX3U6S1O+s/ZaTLVnilch5gKRkM6nQeYVUSlMOlXUUU9TJhpUKh5LqlaVMRH7oy5D4iUxMqRUhimRCZRAAAAAF2jKbOI7dcsCIBusmdDFI5k7E//uAxA2AlvF/Q+xhE+LJqyh9h6dU2JNff2P/qvNw9RZ4y+v2ZUtahhYxjlSgdtaLd79DT2ojG2twUh6z2VSimdeTOpKnNabKZpYJHiKp2T0EWqkPUsPKWJoxSCU+ncgCSxehKrYZdWCZRFWu5zVNVylDCbU68D9UUFwFZf+U2ojhdm6Tsgnb+EDCp4uYkzTw2aIkV83Fk3SG8cj7lwyfcWk8/X/ik1HxMe3tPRE4rqlRaKdoZUUAAD7DmZtei8ZIRK9DhL0RCbpAMOx10qZmmEcjl7lFILN2m7hg3N36epWrS6CH/kq0ILmaLKBKWGhgIWGXJamqhE20TBIKlcX56fwtxdzxNwWuVqQpCEigiVp0/T1VpVOTIl6gdSHw0mswTilxPlKPy+n+VgTChG0VEJ4yeTJZSkbPJqN2uJk09TYj80sMO3+4Zk9+tw3Ly9kha/93X9Z7/5wIkCjyaHgcf6ppLzh6dmZkEAAAAAn/+5DEBICXPX1B7D0eYv4xqD2cIn3fhdi6ndgMZOkuFQF5UTH8YHC4Xk06QRzLsETUtpsc4X+WTsp537k7H78GNzccebOclO5p+2/Y6XLJgQyVBNIeeLqjh2OPNKY06DW7UVUyarJqdkkdbd2HFjcEFao57di9zCSAijKRZcGBWx4EWKi7IliRbErp2Q3la/U0ymvHm0ztj2JI5CXAiHjRUS6wOAMJviC++/EYYZ72zMPnVi5+F64xqcVNX/0xszZFEg01QhzzbsyCIAAH26uC39OOAnFSSAr2UGfNWFqbXXYh7b828q01SPdnr5/OrNI2SiZ78dpZRKW7KDxq9R4y9wVzJ2Q2gkUuISDzHAcFOHJtWhtwoGBQdGmfMLpIbc9x2wMnIQsrf5TqC07IW3JqcgGJMmp4/Carr3sKTOkhln/yl9pVPTEbhl+MKB668Qzu26eepruY8Oi2qSBFqZMPAOaO6JFlSouhyG+pvA0b1ardc/90N2i+kh1rj/mru4oY5ZYI8VVpaHRzEQIAAA3kVtoT+wESSMKUVxIKhkOMuWf/+5DEDYAYWX1B7GET6vKraD2MMj1ADxS5zO/RSu7EpBzCLZ5RBOZxZd2gsWX82tlIhs9E93KFkauxU0tXk6ie7Xa7/IHwM97xpu1FKmeXhkgEE8k/LoPly61Am7uJDZM5xo48TfUxKhijN5KzSIQ7jLc5mPuW3GJ4Rb7VJNQ4z6NxHlaYsXaK59Dh5bhcVgwrVHxBDm7yxoIduvZsh9FoIVicPFH0cLCgjhMzN67SXcD225j5eJUl9+SspK4plVUMAAAAAC9qiPyw93EhEMLVGko8rG4EcXUCafepjVjucC73ci+WNtuUhywsySZjjSWwDTaK/hyUM/XUxZCQ/qCpC9fjPpAg5Ny9uT5vc6CQ9VD5P2kexf8wziqHNZW0BQ1ozKNRaHrLUiYrOqr+OFDNR+pZZgZtY5LohKgZeJZinqN2oFalo1Me6BpDSmmV+Db21Q+ef09cnz+9Kr2Xel5a/VpTjlmIKMs22Zzsasifv2uog4h/x365Swp6p1Y0IAAAAAnfVfqF8CKrGeSyAVtVjAlTwDCtRJ0I3e7HdSqN287/+4DEE4CXTaFB7GER4vW0J/2MInzlNvVVdSQED8sVLcjX4+S/3GuXNyywl2iGthabvCgUH180C74kul26KGp5l9dYBCyltyVmi+m5pZuHJYPRoUesyuMURItmsslMCyqbkM9nQv488XlYwHlCRqQBE4QBCUIQ5KNCIKDOhDEAVllzumLoPDE1cQn5qkbjru3Ccd05ZXF93/kUnbPb/0jzu/P/FTNzP8kPUMyGIAAAXiblNRl7sjFi16ok8mUPDAVPK2tOFTUv4X42707J6aRV9x1PdEWpnRR3TtsATcZVTTEvt0cQQOQ9ZghGtYRIDjO1PvZPsnYaxjFYKtcSUk77v0zpoLPG6ogMzdcLAVtfR3rUYk5C15270sYizuSGzEYYf1rlyG6S1JIanoJlbwSp/ZVdm61BuWUteV1DZDbGkSN5GQUGaH7Fm8SkzXXxKWIK/3dTM//jK/7rq+tmZ0//1jeIuJMqeqVXUhAAAP/7kMQDgJcRWUHsvN5qvqsoPYeXlQAH6yPZEG+jdAZAFgSI5Fds7iuS88riDX4vFd8lkThzWFBL8cpuBaKhxl0zxsKqbqw3NzUOX5eOBL3aQrGt9xSVZPBrrM2VXaZwV3x59GtRiRokQVFZQ19YJ2VA6WONcJi27Regiyo0ilBHO071TFUMKErlebC1GOSz+EhNpmtXHvd/GXUO8SJLUsjht2Wbt0egD1Hrj2z5ST/cftjQn8+ZEa+f7+eIv9qbaC9/rV+cVYeoS3QwAAAuzxYBbDt2TCQcMkkX2RupFFuR6TPG/dF+cAVozEKegpu18Gx0sKznKlSOrtbDBFmmltqGE/neZU5CV0ZR+ky6oKh2QPax18YebdFeWxcMopG9pIcujIA1nFCB2ggjmgopZiDsFqLxBw9P5sgv4nKhIKODA6s2wvpnqynMJx/1uA/tA4RDgqMGSllQWcSIkqDE2kqLt8xjdRW1viNH5jqNwNgLc8Al/H7LVXiIdoIQAAAAGeBGs02LkitVDQdtG2Xypcr8Nka1NP9ey7G6WB7UsmLeWP/7gMQVAJbhR0HsYTHq2S1n/YwmPGbR6lJnajlBkpQislDDVybnpAlNDtImEq9xmUpML0bAwfB+pE6r3Qtc0AviijXpH4gasuhGmBKF0xoEaciJNpICUzOnfwh+7OcjUsvy9ntSfNIVAcQpi5MNEJtoNZrRKckcY8UMWZRdDwgq9efjaP586+xPe9lLcRZDzTaiubbYW/7nake8oTc783ESXGhmhkIAAAPuO1GHs6YcOn4DhpBNkcJHd7KFu1mTa/3huwFR3pjv53YKafcxlnz1V/lMaGV0OFeA0yGITcld+OuCz1Xb9oOv+3ZsKh0NSt0JCqqhY1mHX3YpBDLF1sJfNQRRBeUdqrglBARWC1L5t/WhU7jWIz1rTYJI8kojEIJNoBQCQpWYJC68zpdJDM89VK8uW4s2VpT7i33ux+Qz/xq1F514p3Xr//PDdrd/fRnCYsqKjxTFlYjGZFMAAAAAB9lYlalvqriYywVy//uQxAoA18mfP+w9HmrYKKf5jC48WkIoTLU5PbZRCmQYZe/kqfmL4RC1vmnBU/nyNwbdgln66E8o3BMCzj9jIERHVb9nyhDwqwJ0OCXOizmSqxaU3YFYVRJjPwy92V+wMpaURYzD7kILvtAsdGY0iNAlUQ1qtCDIhsitck0N1PQmNzqfrC8c3JVpVuuy+8J6rLWeKHgeoYnVyaOgIRxfIxY6rSoOp9vKpo7URpiP4vGftMczX2ibx9pP7Tz3wXAimiFQgAFwpoojQKp0KST7AJ0GGcxVsOcOQc7djuuRqkgN77scoa2eSYlNT4R6GZbH4ActPOtLZuMQI2IiApWv2Wp9Q6imqd64zFItADY6N117yhZaTMBRKZf+MKlU7bjCVhRZS8oKdFqFOOrb1T9LH+RuxGZROxZyqeHCSeWEAShCQKVQNoHyeePmi5qwrWK6L6SfpLva1JQ//DL4rP3PX1enFMlzDq6pcFCbDobl0CMAQ0Z8i9V5hoY0AAAAAAflijUcoFkGVJZ1YZVZqTOW4QuJTUaeOG99eObefdqJVJ7n//uAxBWA1slHP+xhMeLBNGf5h5fMWbNPpK3YYs6VWAA1LqWDbVl+E00YFFV3Iot86Bb6GLzU4+4TzOTYf2Rv2stBay0BcjNofWr8DStaLdL913ZZKyCLz0s3HpYxKJVYNiV+Q1H8FJM8FgOTOj6oJDBklRTMQy49VknR5FNRqUfAfhX/v+s6L+8yO/Fb8vGBqZHkjBDTAx4yEzqnnwowcuIdlRhAAZcF0sn2zJC0KARcaHxsEnlzT2eQ13uO52PwI+2Eeyz7Ns+h6zlHHwu2GhxpqE/JX8qw+QhYimGxiAU+CqCUvC1RSN51YNZRi19yWLtZVa0l+5FLmYrpW+6cMxAWTJHAhlpfE5DLJI/Y3ygZo7A9VTPHqyqtvXbUonTIrkAr6NzE2PL6mxsYHA4ofRWorDQHLncy0aXFbGVGilGmHXv89L/n2zCTc8jr3o9BBXq1pXIAAAAAC+owht5hSohshyTUR7GAdacwN2X/+4DEDgCVmX9B7Dy5Itoo5/2Hm5WgQO78ox1Kvjr/WJqdvbqtIY7PVLNNLsnLEA0mJRujwZxFYGBEhJDqCTLJKkOG9CjOUS7OeaWG4G+Ui2WZ0p9QhwH+rSEGCcx+HaU2A/BnqaSRtjO3OPh88XbQ8fXVsaLFboLirYT6zzbVveoqCgFQcyMPMhlYej1kZ2i8x8rsimazCSG1t5kd7+31G+bmFlhZ5V5VzEBAE7utbXPF46QtYybCpFIzP62jTsH7Xm/Wt3Ibu35+ESqWWqbaPcbtVKOPyqVQM5Q8CjrOfKnYm4LU2YOkgqNTdfrEW6jCYm/0bXHejLKpUz5rJCE0hp9F1Nwu5MSaoQJYymUwxLMwIZXIbAdrhWO3sRhQLavwWBpVa4fql4wpmEpn7qHEjN9Nybcbq7tjqZnczzsWRZ/mby6/XhHcQx82kX93/Tb56H3XvYHJskqNO2QVeXZVUhAUAAAJ39ahDUiT/P/7kMQIABaZnz/sYFPqz6/nvYeWfUDx0DJFNZl/ErXDp3H270O8o38mbLx45Sm/Z2ppD12gfhuNmAoIXy9lDPQ1RxiITDZpYulWgdLGGvQGQio2IvE4nV31qSBlpttTKORuHXYWlBcOx9TJuTcIfbPLiAzFIzTV4bh+jocpjO1XldNL+SqkcvspwkEfvz9upftfuvVgItTOZGcxjCWzQJzNckGSpzVBMMquoInr9+a2zO3W1NHVF7KJoaXRlUgACAAAH7So27wpwRVwVQnwUHeVuidTkSyggaRwJ/HqpLkrnqyxl9VmUKthRYkVqJkH8XNeTGY7SnyCjDQkXURgP0xzxiiQpw6yTrUhI0QqZwFwu7ZcpjPI0fJw5Rgbh+FyU1FMrg8jqYFUsUcpW1fVSGne9gJRC2t6yqJTKRHwXr1/u6y4SawFDgxCq7qPcOkDpxelWm3IrMdEQjjpysNKrX/ZFcvSmj0GXbP3jc1gammWdVEAAAAAB9FH6FdHXJwhqg2wZwRtDiuGKqFLOeLy1SR1bzuZ4USkrcaqMVcNqbMMp//7gMQZgNbVjz3n4RqqrKjnuYwmPJDFLlz0fwE+UKrCQkIJ6K+FQHsXOAAqaIwO7LcurxT3kzIE2GS3puXMZhxk0pircGGw0/Lcq0+IzsVkUQi8BP3L5z6CcpoDrg2D3VgUmg+HQJFCNKkC4uIslWMDwLy1ln0twULIs83dx8LjeflZfmMlv44/XqeV4TWLuub6V58/6R6rg8q6IpAANo7ENSSUDIBEZG9q+plpOUZZXAcQzw9wbcvjVNnLcMoIVuvSrsV1fpG4pDzUqhifmJNVjsLUCdNfyHKGGuNKEQ51dryO3cdZ4LLSHJYI5zP2gfBgY2ULNjCvoeWI5VNLxEmOw/lFuw5asdld2cm5eTAwjwjMAUZRhhIgJmm20DtVrxjsums69ZZN5vu6rIfxfJvxzZ3m+/sW7W7ScEjPa2yCNCACRnh3ZFIAAAAAB+2l6t+o3YgQARKap9NLpmqZQwzeCYzHq+T6XYi+dP2W//uAxBSBlgVFPew8vmKlKOe9h48kYbm1drgkONaO2ICchnqfD6wRIcJRIX+UoctB5sTjwK/8Bsob6Ps4idVrzEZFEC+sPSTrJGqu+USizuwSxJ/ntiSiTY7RLmVER56H/thisk8LMirQLNEhqpjbo7fiG9jR9Q96zOJAUjoqkmmOJuXc5/F0RK6kQz1oHiZVcsZoZGlHGbRmt4wMPNuxgCdpSXUYdBDkbwkRlBVYaXJsLRpy1FqaLX7EW46s7Uxq9yqtrQy/dW9RWoMSnEmPpQTuKrNOg6jZBfFtJCVqQP0S0YytndOPcGUok8BLFjMlOHOaJ7i8nLykUAehqqbDOJEK1WRFtXng+V6ihvLttVPmeFKoktFgvlPZ7ApFbo8e8EEIATfpIWQCE05VLM9hILJ+uYJO2gg8fJnGMxYQqfbjnPDEVVVqmGYyIAAAAAfdhu6AOTOGZiCK6Iawzc27NMh2MvLGnml/asA07jz/+4DEE4AVwUc97Dxz6ogo5/2Hojw/G7LjSWQhZTR288lJlrMMM4ESw1juk+pU2jB2nmk1csnSkiwqdGHKQShc0OkQsBUazTKIWo4y7nKc6ATSElQ+2gLhaGk7YLSdpMW1zfrDCrWB8p1BljajO1bvGRhfR79Z+aRk2FnaSLBxwBbkStzyON/zMu+CBHz/+Fi1333s+i0lD+dCCyCJuYVSEQIAABnipfipTjIwjYoxj7DFgr7DpDYcms/tfdPHJaYiw+iwPAlNRUxILxMOUipEjP1ybWyjCiEsnyrJ4isGKdUqXbE64j+wURAEro/DEcztQo3zLEWUJCXrk+XLcmmMdygtW9Gaa87dazFIIIRuHIfBSDSg9OZR6nHylyQaH8CvBTMiUTSXcn3x73Ar19Y2v8omM/1e5x9ssadSQBl5hoVRAAIAAAnf9qrd5OgWI/jymMBB4NjrQ3Jghp9WLTOdy/IGqwXT8lNXdRjTy//7gMQXgBXNRT3sPFyitajnvYebxCyo883D0EQYuRhkBxOK5xhRZyWzLRYo9bSJG6rxJUSBypXGakbIDzboAALcbqTQNTHBmohKL+3heFM9Q8UwcCMnjHuhrKsMbLO4tj+q3GYHyKQhxhbeuGNVlia1V4GCDRbgmI04EF+R36amZqkCjs5nYIO2uCgE9MglIFSp5DPPMy7ugCAAAAM8rdlQK6qQ0HMJ2LrmhCczbO3AyvnZpbH4QXjKmUZUtJ3Vxfcklf3IJwmG5pODQYMm6SX32MO5AT3KgnYCch+ommO8seybjI0y6ZoUwTLeahflirZWnAZzRoLpaWjbNYYVoe4vELX8uJ5NkXT6M5LpzmHoWRRBKHpr4lzS0jzOdp+KWVaE9oOXmZ4N//VZZm74x/frfZHtsvdjSI00SnzCXLHABa1puKSDEAAAAAvlkWUXhKYwG2rkS0jki07y5XmS/cluao6StbhjV2KTt3Vp//uAxBWAlbVHPew8c+qgKOe9h458bJNtWmxnVrgkiUrBYzjV6HWfnGE4dA/wB6ikMCZVhGS3q05S/kaw2hiTosE4f7IDgTMVTCMIQNVcnU/KVsYYoE2snlmBO46VW2t1FbHLKbeLuVXPJ5r01FnvAhbgZmJxJXjxsjFScjzvjwKWe7u5puQcEcvDvAeuO/Xs5Av70Gc1QFNNMqsIgABnliuSI044ApAmMXqfBvbDcm/cN35t7rf9lU7HKkszcYsChprbpsUTBFRRkCbALCVV6dxQU8/k8QQStzNSJpmgcp1J6OSJUGYIoaiSONAwDNIonxcgF9yHQnT+urEiso0C6V8LdGVaeNLtcOO9sryseaOfNW/48r+TTg9nj5ogZDDdgiZq5KTQIRZ8WnkW7QfzwYWv4dtPvpMRE5oXccFHmlp6indjAAAAACnXHVZK0lO4EIA5lBECKdcgU2dWG4PjUbzzwj+cFOxGuSl7DEP/+3DEFoCVQUM97D0R4oao572HojyKGuNpiG3LKADpxDtGUAWloSArhoM5fVGZCqGg/XEA/IRNiZniXYJxALZMUtU0xFkyTkgr16womrpaIcccsRqZHs8W7vEWCUaOAwihIZq7uORHH9iokPEMRhtuw70LMcqmg9Opx1ysRWs23HI094AuH0KPnDUWWHBQ8FACB3mqhGMwAAz1U1yY9mJmVQckiyDip6bYexGCaGanpfbisUjSsSMy+14psIcksQo+I7ChLYgqOKP7lDCzQYpgtxZLzAqz9I3hcxkmr0PCT1RQba66JPBZLuJjKhSdJykS4ON34Ew+TckWG+0qYbBir5kIDZA9ALBqVmTCnoPHPVQQ8MlyNtqPSojqea73qT9v8a/7ofN2Hh9PFVuYLNFggKSwpXnFZXQA//uAxAKAk51FP+w9EeK6tCd9h5uMAAAAK95WwP5kSpGuiIioVi36y5HNgdcseaxE950GKei1hwJY8U5StngOC5svuKHLlXuvFUZINw1Mfqy+3psH5Z2qyWRWUlENWMSDcSyKxvOqzU3uKpdo2I3wD2mZYzLAiUe3V+8SrEBCaGXKKhWEh1n0NF7bmLFzh106X9k9d1oPv4Va2vWFjirEBjBBddpLlV21mVKC7hrzKQjCIAAZ2ZOKgvOMFb4t8j6PDcpxl4xSIs/r08pxps4o8mPxuT4WLjKYf1HKeI2XTbDkLTmIYm4xMIvL3UHY84cZkVyKv2iNIYYgqO0q6mSSxpBEQ62JPH68FewURDHjyOPGRhii3Gq0womzWartThuqlTVi+NHhaJGCJ7dHqS2T2tYZl93e9TaUt7Nm196rZ9z/HeWb6Kuq+9/+3z/42b4z62T28Xvn5LZUPhGFaZSUUhAAAAAZzmJyBiMBGAj/+4DECICWWUc75+E44rOo532Hp4xAOxUkLAkVcYx+NhTwzpiRZqsSqWHzfDpdiMEcShswPIhRqA3xDiDG5DeTiHjJKRnasbvRZkrWnJQVkDZZplUbZU88xAIYiSw1QJ5KdKBL2aU5MOTcqeibrxV6VmQFUmZtyMZ/cXnMqWBJClQYLAYIhWk1abOVJfZqH6auOQivv8uWlH/p3mb56kl83JzLu9b6QfxGxa1nXHoUQm8HBKNBYHWiTl2QgAA3yNiyx6idi8FUG+BwmZVV2NmpYYjcAx65OxK5RPlS5xrdmOJyP7J6d/Y5WUdcKAHMf2SOVKZtWZwU5muBxnuh6MOi3Zccicudikvxl8xAYQ0vjxrKZWKNGHywvSxsavUqrlCTqBlbItGN/aA0ObVhocBM5Fg3mNG/0c/L0kiytnAhxOLt3/XR95U99+mEn5u5dKyzMj05bI8OsTnwCgWU1xMoTGmQOomlllMBAAAAK//7gMQEgJPRRz/sPNHii6VnfYeLlNpLZkNriegNcMgYugGV3pXsYvOrAczTaym+IUdD6RnzuQOKM4Sq7L47ULNEr6N01VGqySkAfHkSVtWH05eHaGUTCgcxFDwN8h08VjUCcLNwUqPZVpTqyCj20Ts82lqlYlNqJmfGVzXEv2IHiiyE6W+s/v048hmvKN3bYJ/7z8zf8n32fs0E8+aeY/klqxbkSgoGa6jRdppWRSIAAL8GRxUMdcgCRCxIGQAufGmYvlPw/D8eu6rQDbnXNvcyrXutZaZT3YzHflLXi36QEVl0UvTrA1ywpE2Nxm8/EQd0sAnYi5j5rdcIZG9qb6Ipx7RYtCOH7lQKFhMRMyKxrij9I9JSOn8WPhjYZmKLSqhfNWZXGC4vaQs0vu19ZlUcOUjxJhES5EbUoavHjblaxb26HZtMHRQKuJrhErV4k5UxAAAAABnRCVRVfcGRwDGMBR8aPZS1tvqslhVN//uAxA+AlUUpO+y9EeK8MOd9jBY9B+870AS5giR3jNu7UeZit0F29ethchQCfoU27foYFDN0L1mVYjS5HSh6SEFRiFtyEnKhgHcxxkjsXMVTLMFQgWyymXics5ipBldAhkKUsCO1MVmB8xJeuFsQUPGEgtEcSjxO71EuIg+KZTiorIuklqOVrXI+f0zZcFxVY0oLo7xDxwCkW45oQg6HjrVLUsGIAAJ4Cggt42FG85CLBE1UfJxwW/dVrD8w8/9/DCCsq0gpak3S2JKsHGaWh0+lDBkSR5TCemVw5L6deMjRtYXIn9kz9vpTrBRl0H4g3J/27NXjLHYhJ3ebeVM8TkbFH67b12yZSGWkAn4geVY0cCxeUTNDLKebhbAZCiIBkQWIKjziSlGmmlccdHGHPYccTfotVyCqiVTNoK5XQ7bfd0p9HoQ+9o9nVwCyQmuqe6WXZSAAAAAv3Za+ZYr8ponOAIyG0LuPenIriq3/+4DEDoCV4Zc97L0caqG0Z32HojzRksNP5cvS+nnIKq09at9+6qx88sYHoLcEQOwNksNSu7bvy1pyeK95O0CjdynwVVnKSUNysO2OBSyUJRIYuE+XtPiRDlk0vk26H1knR5iJje/eTECE4wG1LZbLRInDDBUSGylJ8ug2xWEypzcfQ46O87HrWQI4h/Oc+WscjsUPaTZmYuK//r52+bnX04fmEGjXF2mlZXMgAAX2GgqARa6DaqyKsTBf2kak4bdXJguzGKWxK4wss9sP41ZBLl6aN1U8Y9GgtgTyvgrmMrBpEiLoPFRlMsN+z0FKjoXOdxNC+rxqNpBT/UDxJQkUGUq0adJHLtWP9QxdzxZaaZ1mPvd3N/RaoItbD6NBcO8SmpZI4pTmYfM07ddOIG/0kf+cNZa4TGn3MVU1xHfz133dfV93WkX1/L9zDEw1yTV5hHRhIAAAAC3Z8i2gjgwkY/ANAyVIaXwcyeBX1v/7gMQOgJXBRzvsPTHim6/nfYSL1ZoNgGUdoonKIEVVyTS2uFpVKrhR0SwHsWwGeJgqaKrqQzIIjgLpRDrfjyZS7hJT7Nw5mdAsxc3SFoShb9yLwooYLy6NRASl6W7Sw8HzV3ZgUuaLbLAo2M79ImyFBFshVNOYXfWyT9WI09/6dvql4LZLxgjvNzGY2hhWpyYif33uwRMPsLNrXjZYVeuPFQZBQYtpmmhjIBAM8EO6o1OjMhWAcg4WL8wQ6TyMliT813ekV/KAZG/dBLtRqzzGWq1xC5PSGWQVDraqA7uy29fssMeZLVbDJHgh+B6qMkKkENvXedpycYLQARi3StNstdi8FQ+ux077YY8JaBMDRS8aCIysk2apCkclCEBVJ3kjbyvAw+dSQyQXG7dsKfMPu37Kr+ZisgvUi+q1f/qhE9alTctgZtP4NrycgmiVZlIAAAAALeG14MFpGDG5YjUiIruC3lZdah5lLhxe//uAxBAAlXlHO+w80erhs+c9hiPNJ3c6C0qF1WjbA3kzREzpgQURKvFsJGWRQODQ4n63wUgqFAcAISzQXQN5kJXFOBKKVub5izRC5UZc5FCIATA+4oomY7lNaRQIUncMDehbxwrXF2xgECoLzFr41Ek6GcmtTonBScpbKr7bAle5mDcyces5y8Yt9Z6dnxA5ui/VXVS0kN4I3j+mO6OYUB3ink0EAAA/v2QjdqXiQzhAsBAYYshzfRaj2v/DcFw1lVqR64+sFSitKLVWmQEJswuCrUNW6B9Fb0LW7wxG6WrBa2F1rxLwsTZdDkai6oX5mLUPQlra+Wb0S73HygBq74uKHLblaeFl0FM3lB8mEKNebQaHETiR4suIQ+oR7SG45Nav86W5f5rb4Zd7/SB/u4YObdBHj/IBuMOYkcIQdLZSKqKHZbrNxs0T3/Mdc2nu/0q3RH08xOPGVYuKdUMgAAAAHdciPwaDaaIWM0z/+4DECYCUyTk77D0R6pAm532GG8wRCU0TfbEyeUvjPUsDS67psdeOxuEJ/e3BTE21CYF+ddoSnhLtjkkqMS7P9OmgDlTw2TIgOIn8M4MQFLGGETY7T9IWpDiXSpLuEOVh0m6aimvPiAMqJCngVvCZ4VHKPIsQGjUGKJkzEHja2EtUmJRsLeMiuYqB0/mfHjQtjKmSVYa/ceMeZ2Vn3esm1QtLboz8LeXd6a0cxAAHO/KG8v67JrCPEa46LIZxp0Qct07cBy6/XvROGp/LKcsZzLoM0vZx19aWAc3hYBTSql5LHlZFfgFMB2F8wXN20VNO2+7u2cV2SpRtI6tXbK/MveISLyHYdahJHilJrQXFi2NVFVy3VrmCkgaeRIWFRhuYaOJ4oqwVmDiJSN+Kee5HQM/ffRmzsy0Ojn/zluw/5JTI0zRNIWlYnIlnBNWJZ6ZjAAAAAC3aWRQWEi0tGAgaq84cRTXyzl42vSmbd//7cMQQAJTlRzvsPTHqbydnfYYjVCT378kwLA12hQpMQy7HDrDpWOMNRRipfQm2GiULP87kKOQ929Vsy7DTdubGqT6LuZkRfOEwFtoRrCIsOuEt9Jph7mJcn6yxf1erUZ9XOFMsqinE2BSeco96933O8pbsIOnabG7FKEZb8s/e1mKCWSP147lx91tMWa72nSaq+3ydfvafVPMw3TvUwioAAAd4HaffvPMNAAhy8zpNSsqaxR2273/f3P69JB9Naymc+QS0V1LeWL0Sq1BSu3mbnTu9bn8n2ak7L01pc68ZEQQFY6FcrCKhhbpeevECyM4GotvnVGR6Dy2KwVToqWZOlahPBZN+i46SSxCKOpiSFPTPPmqLptsaMrpWtV5zPquAu4y/vuBfJigWKUbMmTnBh1LBMIkN1mj/+4DEAIDTMSU77D0P4nWlJ3mHpf2nSEMAAAAAK+HKsYc0Ueo9DRb5RiFM/X7FYBmX8gmltM1yqJmxhgvbREK19DfSLUE7hslaoEWs2SENFvj+T6QN4f1jmGlAY3A3VCTg0bUFdLfMzMx83YkUoLuC6bmqzgkEd8XkJQ+HBAWqQgd6oWD5syaMJcxpzo7FTZNnqpeLofd7zfX7nH6wSM3qbzXQKx4uL3KWXQQEYiaoeZQhAHkgYMTQipRAoMFBqAt9UKoGjFFOt01M6s1qoxTye4gwstgs50Oms5T3swsRK1tmbVnaxAQpHizjiPcezhBXKEpRD1UkdnwsOCoAzQFtjVUyTIYejQ3KBserTCpQoiV+CZE23A/JOiNeCiaU6Tkdap29f+p0y+mtS+7Vzv/5PLyU/rFqeN/l3/bfe/qu26sx4fVjyqbRF6SPiXWnUxAAAAAv3LQExC+4phk0EvmgETZf9ZUOvA8LtP9V5P/7gMQRAJShmTvsMHyqkqcnPYet/bqtM4b3flRY4Wm6xn6tNBssvQ89S9HJoY3bm67/vJbVNHWNV6N/Vh6V3IZgqQS59YxSuOOnD2oNjMTSs2sO6Fwc3MdQnKr9Q1R+obcwvoUKpm9Cm4dXdpWHcpNJzqEJ4kZeDqN//2HiAEGHEZSE6vmzlezX/L77fer23PzdTycRQbt8aYaFQwAAH+/7tJmxpQwx3HcExiIjRKdadJNtPux6HNUUkM/lpxzJv84xtuWcqRlkVQ7DdyvsUiuMgk5/GUc6IhBuKxVCGwroQpDxSoQJOHXdaWTrQChVYmTcxPznhJVD82KKLytFQO3k4keK1MzqVzhPtBZJdWbiWsm2IE00M9yTz0Q5l33pRaHRmXUQ/8JMOtALj1B30jb2Wb/qTjE2/4LYT1BCaHZ3QgAAAAAvnJQHxxtiqAkOClN0Tie1d9WIwa88ES6XYWX2vFtNaDVW2o1jLFHi//twxBgAlNVPOew9EeJ5p2d9h6I9VPmc3xooNInR6KmOwH4NhBDAJsXU5SYmjPMSp2f7QW9UMQnrgZYqUjZXWUiJQhkSjkyvjgY476jxDoPhHC5vZdre2uwmBcsQIZSDD9KS5trpJkP1tC5HXui1HybHHTD7pNVe4ZYfOSPMxGWp4JPe16b3NB0okRPEvDMRAAC/kS7FSVB2QOoXmS7UWSjj674tHGwxKG6+rdPMPFe6y8vdrJAg2jUd9O/UhdR4v2WH1aKdBJMUI6m0cqFWXmLl8fHqyqIslC3OeYRzR0PXiam4gWZWN0FstIxqSBFYcHXEe41Npd0FAe/ID9raua825nVSmH0JRpqSYz884+f8mCB7xV9SehHEBcoO/9f3Hd2tkO5/z4TLW2hlhVMAAAAAK94n/VLyRv/7gMQHgJSBnznsMLyqdDPnfYeWPShRUSo0m5A2F5MHIaO+8rt1azw9gd47d27rV1lDNonci0F37uDTkg4Z1A2MbbpRPyqg6TKpyLwbfWrPw1H21t5qVx9/E+g406eXCEBMvXMjaBkQnmEsB+lUeaNcujmNlaYPXxhWui3W/zNjf/5qJDmKpxqKyiJBd+5G3wxBBdaIanVF7dOrNbMsjndTo67OUiDUa4mVaZmXQyAAFvBViOuKO5Mjy+RjMjNZY0ym9HXjhmbjVWkqQ21QXbC6ky2BqJlc2M6li1SZ6GYfDFekNnLi3k+etB2KtiO0fWE+pkO0pRIFUmg440pK2RXLQjVnLJx5Xn2IXdwqxZEi4Qt6rrMcIBKiAINncOHG2cknIHUF7EZVIc79xXR6CZhNt0cYLUuYy72pRqH/60WjK3vKzTkEaIl3dUQQAAAAPdqBeJWGeIQltGjjx1qtdZ/M3YNf1xJfT1txLBMv//twxBMAk6GjO+w8seJMJWe9h5n8H7bGzpsIMlVmRlYIkGpGCwuK6iUq4zl4QxMvUvEcF1pxQyMiqp5gTlC7GW9SsVDWcUFWBhgyq2zm+csMmmSRsi4YLfMC4QDi0FkFZhaJsVF1ViB4yugdFWls7cxGR8Nd66OYzeqUdbWXeR+093P2a8mNY9zMVhZ6h4ZkAAAf8fbjLHbT1BTkYQ5axlB3/fWRUjut0patp4cBoU0KWXObHWmnOSdutp4F8R71dK/w0mocn8+Q6sBzoLLPAUi5epBvUD5oe3Ls/asqWzrapfGI/szImYNIq0SavTi0ohywAi+wbjS7Nv8FFm7fal42yZ68NP/3y3ReDLgORQm8sAW67WsteKpKGQ6YNiZ4lYdCMAAAAC3NIVx5IADABOFMAjCFhDRvBf/7gMQNAJPNoznnpL5if6fnPYeiPWSIpFvl51DYmtvJu1PGuFalzmmcGx5HjNXZjiqf0DxWJCi2Ozoi4jMjWO5bOtHlG/qY0U3kgpHanqh6JNyAxq6K3TYYQNNMQYOhqJVhIwqcNtII1aahyo9q5/Pt3YwogYzIcykdFbRd31Bb6quPRERK1d0vbPIXYtUKn5hAjtIMKdmqLI8SsIpkAAL9/FN4pDAzALjYSgsXmTHbA0+baWy+GaeQ352XT5YELs2s+8rku6yzvkWmZlMmRJj9bnjBM1WVBc4DicL+RXrxKKOn6lVafLu/N5Tp6KVMZYTJhtyDbGd8pVcsZaoCxSR60RW2WrP27AbCGBjoGj4a8bXt3FWh8L/8dDX+5rufgXtI6xl2tQOQtDq+L2d/vueiVTH/C/BiCciqeKd2RRAAAACv77OIzKxHTaRg0MSKwByljdeu+6E53MOSdXtbqDO9pD71TZbor3FlKR5v//twxBmAkwFHO+w9D+p1Med9gw/N0VuXy0hR2F1TKOSbW1N6rmVkkC6oNS8ctX72bDAriibIzBbtz5LARER0iDlJsoehQmEeiSkBe4gzVTiZpMqrqrFM7k+/a+763+vkPnFuZoiRrN1+Xcgz39/fD2aG67iT2ciDLCB5uIVyEAAf7/utBMmTnBYCeCmTDlALa/oDlTEX3gPK7PVLEGPvP7o/7dhiXQLVswZnYoHNb6Yr5ZYMAhE+7r/vm7lHMzUVqP3EL9mWMPzcGGI/bbFSxFwmSzEIoL0Tu3MWJCqZoIMWSLGaUITIRWSGQ/eS/5v93BUiCOrw6MoYu9S5nixgplSM2Q5SJVnl3/hzL+fT16ZGXfG9yHRcqnmnllIQAAAAP+B2gdcEqTcMMS4yKiUllXsifZu8B2ZVnv/7cMQQgNNpozvsPLHifbPnOYeWPKVxVmtGzDtSAS2KedYb6MmFyJseVm1QWdMRwrg0Uk8GVGfJBicW1RpKGqg2HyNOpUYanbcfwpbk6fKdTnjePY8FVTGZXO9p5JaQIBQt6CYuJEH3U1k7iRaHeS6u6MvZrvIUpbs8VGu73nOzKi9Wf6NpoZdmz+5rlVyDHiFtEMABnCLTEJ0qjLzoYpdpYskqt9E4mzOQySRa3JdFxWFfhmh3bjKjMGWVFxkU9L45OmFKSxjDJqPcmJPEIN5LOJhhD5lQkTdoxizIQniesGl2jnNDyCN7MzoWn1YyzRFJI/hYqnMyRodr9YKHnaK1kCjRTUmqoIKZlZx5QxgFmyD0bjhYSV3K4tCL2blo/f3XorMqH7latTours4jVXqXlVEhAAAAP9v/+3DEBQCSlPc756TcamKi5z2Hpb0JCKenB6BDwEBBCdiDpETBnO9Tqx22yM6oaTjmjTuevDQtUK2VVJFkuuSVKdtlU9nIPlZXIHVOquxiO4heLp+qvvMMs+ksP7bQohIDoVOml0lwfZhYOC0tX0uulubauBs2vq2+XD4/r9qyj4FT7zCf/B1+pqAmXkE/AGY8nRKt+///4gnUNwGqJzBrxMQykAAA92tsMsTopBlw0ZetExakZJSyh5WSE61HXTGuUMhRrSbXK6MtVNbnEWUioRNYp2LlyYm0U1VGiTJGxXzerGJVYXLKhLm5A4VPKnwrioMA4uJIBhwkbhmNErLHnELNIDKOKvQsn5eJmm7xW//Uc/0s9F24+U50xBFt+7T/9NDP1tFF5L69JaV39r/3kZuLbfyGVNoV//uAxAAA1BGjO+wkfOJzNGd5hguUird3ZhAAAAFP1Uy2aYsWAPlyhIXUXo3i7lVZW3SMv5C24bwmpZIYxy5R54Y0Eu58reqvVvUzfSely5DLP4svh+3cikFRDOXzXIxLHFm7bSn7iEP7bA6RoKBwppGuaIG6C8LpeQp2lsh10KAsnFQmRns8rTYuT51Clv5JecHvpuZrZb4vvbrqh/lzUT0uqhZ2GSGR3+8OT//pTpR4ZrUKIEiqmXYxAHUSMRkZelUJAQAFDhJMDRpuViSsn1I5Ta5Nww2GxO5W959iL2W9SqJX7tuFNCou0NLLnpau7DWIo/8unbU7K84tKXqtwSqS06DlLoxRGdeGZCurH9eY49EVXFE3xUuv2P8nTvNtZVEuYg6tYXa7T+g8GcTEoDVQyIFQiyMMj2mEsVprJK6owNN7B6qVl/1/d65rur2ZnSGViaeocyEAAAA/1oM7X7QEiwwggOChIjsjcZv/+3DEDQDSfUM77Dxzqm8zZzmHof0lMymH5BBdXVuO3mXODZrQsfKub4ltKd2kX6acncZbq+YEKLIvhps93b12uZ4PanS7ZlYmGtimZ1tyUxiQmpXu7qDMLS7c3Gm4ytq5/X+X7Bt8VXnJJ7/kQoCYf2t3oi/9v/BfzbhdS0wePaJuTfVrX+ysm07Wko/3VPMtDsZADOk+Gpw0ONUKccecpy2zEnmoI003N9pdLIyUMlMztUe94Byn3DkUZ76MNdoYlmxu33rUUytI0r0IirLM4E+doQ2oa9ajVVC4IM9ZS+pZWHZurzlJO/0OD8GwRcTAf3JYwwh5OHVMqct8/VX1XjGEsVYwz5KY2L7puqrJaa7GzPLf8nXqsR1pdTff9fxzD3PV8KjtHJcVGnm4eHMgAAAAz+OrfTwv//uAxAcA06UnO+w9LepjMed5h6H9QWhJY+RLGg0rhqGRt/mjmfEhw2xTQlWqWdstBpIpnz5qbNOm9mwvn+vRPFMAmSeazeYXBnmbB82UUAkbtSDeSqmIydJhgkESIC1TweBlGncUYKFFM1oyzG7nEq00rO6RRRTeo2q7yjm7jU0oKwOQjVs0zmfMj8vPro4dr6/+JXG/wp93/Y0Ktl/AhSKDa7NFXEOioAIJVtl45IFHAqxlCm2rO2zM1R8m3TljaSlwiM7Ku26dq393Ld5pIa96IMn6xM3R5V0byqci2PFGdkLLOXZzjp9Au1cIrBKIlk8ikNVTqVUWspjrjqqjqHQUJS5PgdccI1ig6M1pWylinofX0rh2jQwjWbNlC3fwyfGxNp9skRz2pDNMfP1/H913/Vddx/TnzK0lAE15mLVlMAAAAM/ghYBnkuJFNuQhFjMoLxUKmsNs9cuBKjgctzsbWUltsrvUqkcM6kj/+3DEGACTraM77Dyx4ns0Jz2HinzTsCvQ1sfUbtwlM2GkQJQnMkHKhgnc4IyAppYx3qs+EgpHtoLYfpeFI5OZFKdttGgw4s/gSKiltw/XEhAxHQJCoqkTKclmeew8jCiIDGZRygy9ujYNVqu5ltslnMdG2t0o1/RXVne2qOVykK1BjxDw7kICFP1zIcWw5LGCgyYqlwwFerQ49F55ms47sY+mklaC5VyggVjrl+gI+2VPwj0sbqoUMFY01ujnjIovDxsjR1wn3T5zOphiHA0qliaI6JJvHZT/UzYn2aGjI8KCT2zZrcNR4hQKfeJGWtPqaM1Ymg4zr1h7xLRxQZUZUZpygcmTe04ZnK2rOr3IZElctFv9nbvdGppMPSmYxyDjKnmXhVNAAAAAP51kBDlXWYr9aYUHQyWm//twxAuAlB2bN+w8vGpgIWc9l6W9+6/oZpmaw7SXL1BPVKCeltBZqYaYjLctR6rxsEy2rE7dWBeylukHu8/TLJbBUHU0BSmxA9mV0VokNHIZayfrY8NdW2NKzRDIar3WYE56zxaPG1QTPtXrlqoKkEaBIVddLb86CwrEHC2NRBoo56oc79hWJnIrIyJKfZ6up2R0VrvenLbTm1VTeN0s840tKEAAz+lQDo+sPMHEoUChJQOgKRWXW3Rrb1yhtQlS+K2MLHpUSOF7rhRN7J3qkepJKLo5oGX12AjDefpG3kiimmfqF+sxztgqI4kIUZtLqNhhEcmVZkLEZCuzICDU9rBmNZBqxqKFdauZjkYf3H7cPPbmi6eWmlFK4ECCDr9eqMjq+sp03uz0L3WN+P+2xLDDE19vCB94l//7gMQBAJNtmznsPLHqYLRnPYSXlFR1MQAAAE/aVON9DsAp/iVCja6sJ1drLYi0KDYlEsp+/LC2PYkJ1vVle8Y2uOpo7EjFSDwWns2dnY8PgqEPfIuJPDX30CCh94g2XSFlgXnynNRdrpmgLTk5K+2K4XTtw+cqaJBruJ5OKix7mHKjuojzeNccruQUIqCyBbbpsmxqTORLlkSqu1mq91W6tbsqK9tu6MVRBEE0Ac83EmygAAz9xG/S5hTRjPkuekGlwvLT5tDxjFDOQrd+DZdL5DczorndSmdpqtSV260ZgKBZTu9qVwFIIcRPbeBb1Wy8LvV4W/0UnZQ/czE4kJFgoCoUkEEAu9AAorW+CJh1VmWr4R5SKr2KVTVjKSc6dfrf7QzR1BFNjBP0ayav2ejcnRWely3Y6Mmrtora67zqYc6kVXEhdYmnmFQgAAAAP9kpAEiNWFEE0Aiyk0AC63paRlBkhdt9Kfbx4l1M//twxBMAk4UnN+w9D+qINGb9h6H8idSxNzXHG/ZfHPV5KZJOS2HttC4zKxISTIqTGybCbfsCteIbtdvy/EhQ9Uj7TsxvLe2MWtupZKqdwjMshA+NGAqgvs6xCNgG7zNoKXkX1PY/7Sy71iyHx7lcfj+o9zJwYjStqHXwdO/1XkX5rs5eWUwPZsgJhbVLUzkAADP8lUDMKRKBJViglrrEZXcXZDrK2v2Yb5jR7QU7DZquMHcp9I93pzisiZPFXktcYa1lUJ9AwAl6dVRsHAkDYJ9NMklFR+MJVuijU79+eShN05ILIyMqnb82PCOg8ihph5J5oiEdjA+TkJZcmSoqOav5VoftjqtUsOknaDIuOCBz8NSkLvxMtFw1zExfVfUV8q3dTVNd9cv6otd3Zqp4p6ZkEQAAAL+Y+P/7cMQFgJORozfsPQ/iQ7NnPYeV/Yhs/oSEsJFRLzSjSJftedMzmFw3Atizk/VtjQo1xMakPhTOGGw9MlW/MIy4940FzmOk6sJ9njG1FOcSWc82XayUZ/KxOkCV067bmaCLCp7WS7Gwwx6gePqHoPmW8ufKH3UC4wOZsmnStU3Ya5/U6XcvIg9/E9/xdDNZaLp6SKTd27rmPie/j/r+b4+u+OYWJ9SXm5p4IQAB/RZkDdnTMQTgcQAUnBLQ5UviStYhi7Q0MezXBc1qPLNG7UrDhZ6NKmjnqh5cEY4vmXUZtUDQGeloCZZI7Cpo6pVh6xWNFF4XLI2OoaAU8RCm1VP3yfd1iomYHRTjg+h1MisJGeg1URkOUV3alTturXVkBbevxfVErI+jUJyrZ/9P2b62RlQl2E8RlXn/+4DEAICTqSc37D0P6nck5v2Xof2VmGMQAAABT9kgVCZAt8z8yqQwXUsJab6L0FI5tHEH11F79QF+VDW4Q9Lh+r2KBhTu5lUQJD2KA5QFAf50m8OgkU6ny4Kw90ssJE537YNlGxtsPjnCnIeehTGqEmn4A4aDzozkh+wk2pRDgHg8LUYgs110rpSVAzfuqaT32JQZM/r3F9G1IGKcxE+59rp8Kdqv8wWLsoKxEIimQDAaLSXczEAp9PRxc1MhIMLAVAiqAZQB2mlPuyWBY8/mmRTs7Cxmayt+Nbahxn4gW6pmvUwglWXIz6XunDdgFsEeSsFXubmpg7oiCQxUubeRtnTxbVy+TCWtAQaSkulDvcLDnCZmsuzJGN2wgoMNDoYgqWH65is0Ox7zc0ar8PcQ0CP3Wj9Reg6pYuWpzqWYsQy7Lv+/2g8IGVSe2oiFFYq3uHghEAAFX9Q9Qceq7RAQzmXwl6FgJyw+oFEHkf/7cMQPAJMpozvsMFkiaDRm/YeV/Ke7TTGlakVW/EJ6pJcdYXJBNxe5QXqKaf93GoVKkY9GYk0SiwfxIVIlg590ptHsBEc41iEUUNEVEJZVOPd4n7PnEdLYvtjloqwxMFhfXGFWV9fkxf/RzPA3pRArMCYod2rTvRyHUiMbndv6pXV2vvS19VVDlzUK53q0gOZqWV1MABnwiCVCrPgJc6PgXMpW2N8GxtBbWHIMbmyjJ5qEzpdCWFrpv3OqVTSNp6SQGImZNaRIMjG/jTHyxss7hpnJQsnArVtKVN5YTp/L2ozEtQETGttzfomUezCgohxIJHfOcazBg5SoomZhFIq5z2zw1RzXKRB6hIyVUVlrYWIWV7tO1akOVjP2r6PotHVNCtskhkutiqNVereGY0AAAAVf4dTmDkP/+3DEBwCTzZ857D0P6kak5z2Hlf1cCuQYQEBTqQ2lsuZRuYa4/ctiC4WX3UDa5NcfOpaMjLiExTry6II9jQYFnEzWUnZeJmNW6fLlC6Ko/zRaJFSsIlHy0KNUKeU5l+FHjK9XPdIx1aBycLm5VTbmnLITHRblHvczBnCjotLuRsV41K+eIubxpifNT0sv6PM0lxccXF8xS381NV/MTvxdPNUtONExEPTOZCAM/SkHBw7AqWoqIuaTHS7Xw7bD3FduPuXbiTNHeSn+wtq/an0dKacsvG+y6pFULDK4eDIgyUjCcYygfvVIncx3Ez51GaeGtKKGqgWVQu1hhd3gNZlzChgs1HQXddtBopOyCiLWVthzZUd0jRRmV3DrNV273HE1FuSo0P5R7aRrqi18RixCwFUxzaJz84m5//twxAEAkmGZOew8ceIyHqc9h6W8d0QRAAAA39SpN5HC0BkmsaLBRqyr2Wsmz9y4Hdmn12YqqJNHmuY31gkKFxZbL9PFJg0JCqhuxskM90OqzH54CHI5VoxmhscpwublDeRje79jQ2JHgysc+q2YbTbxVlnr/Hxjdr3CPS9zE+33dRKFg1o1QMMPTU/OHk8/MpJTPkO2ZFn///5cyL3N8yY3aPRuHpq6mFMgAKfMZKizAmLBUQLMj7CWhqdtfXpIb7jrtXZzMzsO048gudbtR4G2t11AYVy4CQMTHMtYunmcuBXN0KVgcW01YT5hWHPUVzfNo1AVoyr2ixNby4aY1KCzPli+R91aTSr5S65hDJmSVf4o/a+xVPkgaGix5K14HB0ZTxI2ecc3Op0oIgUwqQEZFXmYh2UAAP/7cMQDAJJBkznsMK/qUDRnPYehvAABX9ZMgZhDpBBYpNdkQ8V9JeqnJ3jkDcI1LZqXdRDw2yq3kIdiss6ApQlPny06+vw4BYsEIHT0mJVK9KDLX1x3EZGiNg3P4imqOsN0h98D450HkCjIlQ6kyNGDxFnU5nEj7MlFfxSIKwQR2kYDt3VmOas5LPdrNZeR5ut9+dmu6sztV1Y5yswu2Opbmrm4RSAAb+2MTEDkw2F2EKRCVYYtunS7ycnbsCnFOp9v4rkq1tkq7n+W9GssrNt9KrFBmloGmpjTQyGRU+RngP1LEaFO5sr4jGGBWCG1YgiAGsYeKYdKVnykoNF0t4dSHk8/yxS14uR3/+NSHuRCU4dCzfOt/z9L9VXre79D43qKe4u+4mK7hO+b+NL/pYSeB1rVDYqYlmP/+4DEAgCTDYk57Dyv6mW0Zv2Ej5QQEAAB394EtUMp9G8jAZzOwmRA0UXTfjjKZmRRGkJenZG17Rag5a0Ej03m67/TG2eFZnpBHPAL+PlyWkltvcFfeErjt8BRrFlTEnXDpWST3w+iSH3MKGOw1mKQpk4x4GFnMOERMQOA4rFanHMrlUXISMOLMhFCmTOWxXeyMtszuRZDvLy1aeiJV5UXWx6srD4c8sz0cTEU6EQAFP39LLIQMkFTrlNLEtFLg4LhKczEERuCaLmsolMSVscamqPDKPtZg+x8npZZnI4Tt08qbe09ZG6LWHaqO1VpIawyh+64dHNL5onripFiK3rPK2sLtG45paHpiiONX9/y0aUqOutKUW7/uUfmghKGvR+Q3IqWx/T8WcTu5FklqnfGq2P9mXTZvKqcKJvX3eUS2wWgjYmahoIxAAABX+JlgrS4qFglUBjesgGAmW4tTgqNNepcpI2OMjUxsjm2R//7cMQVAJLlnznsPK/qbChmvYeh/d+UlDTFkbFJTKtUyohW3RTL5TjTRZkNF2yZjo/VK67m+KNpSahdxW1+1sd4b6O5QD+iKofYdKogrEORSM4aLlMRUdTEfp6Ci3catkoEaXcl3dFcaZDuxU93slFdbJZFmpsmfermd0sxTsjoMeM8zMMpiABX1+lBhpEsYgYTpHFU5cN1W+T5dpo7+PvLZU+qvyoJPIJijQ90PZKxm5TphX4UhgIZCeIGSEqDbcDGN1QyPXIwWtHQH7JvAriPP9PMeZXy4bz8VsZjxCfvGJDOpFDAlMXioY1jIKksPslFuhNzY+5cSoPkyC1SaPYzjiT/05RFWK2nm4mRjFCiJN9v/+oc7v2xu46BrqqJiHlRIAAAAV+XgKnBwbhKgQvHRpNoHLld65n/+3DEDYCUFZs17DzP6l40Zz2HofzCIpAczi7nXbMYpVUXVoGm5Gzx4Dcxx4kgnBe1a8ZuiS+DWfCdlOl8O1axECdGWnEfEZhXoqTLc4XX5oMAcNYdz6fNm4PRTivYNFxaX6JIm1OZLTrUyv/vfsox810s18gG+Y/O/3GwjGfXrMZPfcRvedx7v/+v/NvW9vv7ecuYcrezNRFdHFTNqyGACX9tU6AUSmFCAwZmOPLAS0QbLZ6ODInG3+nYMBeZkLapoW8XwdeoElVzSn2l66Z9xxpMRVDYNuMpMxoLHMy93Vmepo/TLeXeOmSRBybbIr5HVoeElmJMh6h+kegkIP9xaSKPFRrSSSl9iBSj44R+bkX4SL65+52/1mkmo6j5fmD+Ilerh+aSW77TvpotetC+2gZVibdklTAA//twxAMAkqk3N+w8ceo4peb9h6H9AAFf1E26rVvFqhF4qDSLUE7tgijCwbL7ucA4zk9VeQ1hupLrSJVcWE7ium5JJKGvVbLqIKTMNlMSZTO4kJDWVkVhIfgy2hZT63RTZdyJy0ORpfM8OWzx5DgX7lXf3nH0ONxggDxEfLVCTKCWtkEV6MMFy5mS3hPIVh4Kv4OQsZk5+a8+1vVL8fQuwEFSkUPiKe0YzACr9LE5X8mSQpCUITPAIaOFI8M61WrXlcNvHNcsVVHBhaxuUlSinyspCjEpGdafvZbVE6Jou0IQFMzy2o+d5V8eAkbNhco9U/PDbG+2JWl8ntugSmdu5kjnTcbacFIedFyMRzY+v3Nmr+nO7ki/jiL+lM7otHp2b5ieuX5/+HfJVM5DqN8sVXuM6oqGh2QgAP/7cMQDAJL9ozfsJHziO6Rm/ZehvQAB7/AvEJNZq+oFyjyyZIp5p5UWNhvXZfC5OU2FNlXtVuawr43vzwiU992ciVmvW6+saXqxl2YTF62NZ8bVLuiqSOX08uiUaZRoT5zCJXQ+6TaXp1uhKj+ZLb8ZYYXvqXip9PK/2tr4ktkWY2aRxgYgts/4N/Pm5kb1OZp9i3056ERX7NO2U2B965klI7chS9UXE3FO5oAB3/AwgWm3kvDOzNBMWbKwl6MxW9MsilB+QF0yKxTTMSj1AiZ/VjLPqjXPBwrFQuJbwcG+VkAnUT2etsR65qxmVk6TTlk8c5jBgcNkVh5BgWMO2JZ2tjIqVTmxyiJVSdM3SO31c3QzHb2lLLD3G6fLR/BYx7LNNlbOIpZ6e//zq8hV9rkU5AFVHj6ZtrX/+3DEAYCRmPc57Dxv6ks0Zrz2D4x2QgAABW/aWDhEyZaDURdcSZ4MUqvAbQHEo3KcqLxpdI1hiG05LbdNXwVfZw8FS0onnzfXKpqxEZVLY2RnDM0kispGcJ9tZ7OKSzPqRYiNp5UvJFhRsuKA2lPF7RhNBuufiECTto3n+TA8OOATYFFPQX1Nd1zNXaeOOvJ5nsWkyjGd0+z1v9WBGBWmYeWQQAq/EjC1lhhtwkBPzMDRPI6B2tC+W4w1bBhR2+IeUasCaBvJYT7b29miPdwzSUbfCVUmTBjFkH87UKJtTwcw7tdHzGslRDRyX21cIst7R8uO2z+zjcVHoCZNoaxzr6oroLBi8iPXdC09+Es7IO4b/gtDMso/fWaKUOQVCzbs/KcpmX2kRZZltkhMfSEyIKqYp6hjAAAA//twxAOAkhkXN+w8z+pIqia9hiH8Ae+fUGEYpDhVKKMGDOAretSovl9m6NifeG7F7t+UMs56mxqQ6ts0uFxK31bJID5/qKf8OAaJTsatVcNsO/DI9TsOcwcogvkvYUe1wGOuMuVmLN4DV+1nzUbXZ5JoGnlRlvSq3u8/2Kjn2xVTkxz/etinWhGjL7KNwlvBEl8X/3llztf7mN+/I7gpop6VjEADvtLBa1YEKuRYyY4cBFtjLwNtTMCuSR3p30Crz4jLKIt9ujobVP2lyctGg+KoDyqQORecFUfyUoNqmYkKyUuPx/Lp49QvvYUni5RBhXb8C9hCQ6MpWoU61rubOHkFsHZpLCU4sylO6qwxEbU3Pnqbz66KlfUzT91MR9ussNp4HhpS/CUSsZDiVCiw2xmXatAAAAALaP/7gMQEAJXpoyesJH6CTzNm/YYV/esgBZRNo6gl7FAxi+phmTU5FE36caWSXUUU6izgPK02PtWhi82FF6GGJ1IcUbmpQy537aqsceGq/zorjZaIHwA/kMT1ppMYlErelYR5ppukom2oy7KRuZN4NBj0i5RS6cuMlwdHD1ajEMY85KJTd9+nVVWpWM//f93xTxsjfsE2KIJZ24N57zHpmTca8kvMqcN01///yh7Ghl5FCOTJ8osGb3UUqxyqZq4uHUAAT/F3DeYFleIAIL3ionKVEFRNiYBKm6u1FpuS/7TpKO4G4qZpfMWsXnMRSKRHKNGmsOyQP0DZ4pgs+VEjaJcsoXs4+ChVy01cWLkLLXTWoqibseUPdaBKLBowTIByhwKcSc91czHOICdzqERd5RccPIW7ijjO1oshrJokjI+iz/Wh+97/IpjsRFOczKOSjpqXqHUQAAAKb+HDI1ZrgI6Ei0Dl0pnqWPww2nhh//twxA6AkVmXOewkcepIsmb9hg59pkegiObwj8hMRw7l5QZaQwaIGFCh5HJ2/AcETAkiKhFbiLJIk2snk3mcw4jf0aKEFlp9tUw3kfIz7nD4l2EHTGEB9nILMizhhBxb/SNDEYfl82OeRGnKdkJs++j5FnbvCMv7TfPLPQnL57gxXMZmXqXYQAz/pjjLEoXEVMYihcIsVyGbsNd3J2oEUcaXW3ZmeUdJaoem8jc2XIS0pL2T1Mbr4jW6wJnFyp15W/H1tXtdzatkpoDOWN0qU6hW7bHtmu5X516frDnse0nRW0/qht9evxTdumbIZEBO1Exwh0I/5ijY9yOc4aP0mn3It/Rcjyi/s5ndKWhmD7DFU1KQEpm/aAAAAA7qysZSpQu14yALMRpL9F9GGtRgV92VSSRcszcsff/7gMQSAJVhpSesGF5CwSbktYYPidpEuijCbUalkrICPcxWgdKNv3JYQ7DJoZrUdPH4MXQ+JbF1Ydpn4llpjcadVt2mxdnyht1PVv6DLkWiEN5PjayhPZHiGLg6S3KGPWxOAWgQxfORTBJ02rzb2clg7tOIhUOjOCabV30u621d6dnKyM1jvTn6GpNyS6lJqkWY4Q0JlVaOeQutCHJNSgADfIbTmTh4KDKk00yaLeI3sNZRjYa1HaduD6xaVUruI5QCo3Fo7TviISJYpd0jTVHYhG1KEr4wwqStnruGI1pMqxFQDEocV3L6F06GlpqCRqfXko65ywr4FRYQywUzs9Jo3SE1exztyQfuZeyq9lq9/fkEMyR0HLCIs8i/gqxDCYI4LocvVY/JqAJA8Nh0EGhsMZ+OsGLcj/38dwMl7/CJWW53/exw/Vv1fmE+qndNyAAAAAt5AtO3uaaZA8LDEkl811KmcvCGG7PtC7VL//twxBAAlQWlJ6wwfEJEMWa9hJY9FpRIViqOvw3eRS2cfVIttW4ZOnEYrD8OpVyOSthj1xyFZ4GvuA+brsBf6SO5Co05dhaFSLoyP88K6lupQhdgJiQtpLnR84/Q6W1vtzCaZ3zD1UpBIsBmLPLxy/BOxjkCgI+MAur1RMKU4S5ltIS1j5+zox8//L/I9s+/IV7DXYwkpAv/q3jFC0VMxTIYAFvpATJK1OSxgxxNI1ms0asxN4c5ppjWoau4WZqUg0J01X7SZg2JYKCCIfDIKgy4uKdFAVPCbSIqMWVBZAqSiBAZbBokIwfOzgmiSDYw1TSydPxd134N7l7l3iggtuSdhGpffU44jtkFldApzjCs26boNVkdTtKTOznszrardUpJJRiMuchx2AubmABVu12YIAAAD/sDB//7gMQFAJSdoymsPHOCnKGktYeZ+AlQuwIlBwQuRMCR0Cc0E14BrO9APJRasSlCh2nmj6CY9ThgpQ27wTuZjdMBGEpU0NXXXYPsUasIYZLAmEGzG/h9RjfOl4+UqkmmN0gm4MQ4G6DtXLyu+JlzmBj3XFt0p/LMDEUKHEHPCOF/pzIGKNRUophwYNAIYzQooWNvRmjJrPynmhFnCaTyltL//7vmnDrkzBwUOwF//eQTJo6gAA7pCQ4MMSkywERlTFBVWN0dJk0/DjUofiUESq5WKALsBsJq1mNEYxOCCKFQHyc5K0soSXKIQIvTCY7w6wkIl0sPYdK0PhVNByjfcUGXku9HMT9WhLBXi/YXSORCoL7HhT4P5LVDMePwucLDpuk7mqE4YY5KD89NUd/e52S05/JTLmjy+VPRQ8LE4fFyQOw/E5gGOx62WPxKl5FAVFT38tL6URWX2xEAAAALWPMnsizBJdcyEFiAoi42//uAxAsAlaGRJawgXoKstGS1hg+QCTUC2IIeJubsXIVcmoZWwm3A9O90xeYQRPpX3pYotuTVqrEphTuXOLNNwWAGpvIrTch2pXo6ZY7ztZgqAaOA4IxWw6uPGRzjt2GhQbT37se3VEVijiVGQC44+55GmiUY0ZltVzU1Uz8LY8yXvh3QTMY1yis1xF2ZZHaq9GuZEbuW5aLbXWRUmzMlx0QAAKKBhOojW27jaZarGAAJdHWFBl4KQua0IVBZZ0qhFWBPrE3ceODXj+HYLm1swS3mDU47laLhwy7HHXikJpuu0t6AHShcxLCxpuzO4YZdAkAU7qXX8lUMPw41NXjcovMlGuoFQgKq0mIdtfKw8RN0VbS2cTVfZNM2pfEtaw4Zcv737VnasO1rQjBhmLo5kPhE9SEN+S/ntMs8yhQ0K20+SH//PYzzpzymhoCmrQKOC+O1qUhCD6qS3NgAAAAK6SYqgdiWugWzHCMHLZP/+4DECoCWgZ0jrCR+QqgqZHWGD4gUkKwsvZi77GevXJ/h110A5dlMOcbPGcZiSus+ty+rJQx5pyHVclO2Bm1lhZUsqxnD8wO1JfUmfdo0Xl7JrqZEUzdCHGjqazUuVknZ+fceUSKljUBUMoqK0rVgUE8nNpq3fiadXgygn3f14uzNyCxRBqo/EEjvUrkZ1Z+iupcmjwy55vYhZ5f+Zl5lNkLhVnNHhWjCiZxEkuPVLkhxpQ2WyJAABTNmIYtqLboThxJHFQN7VApxeGdI052YRSVpcxh+81KlpQU90Ba9har17ZO2zqBmfLqUPWBazKIAnaZAUHMdbBfcy/z+Pow9QR+HFdW3KHXgp1E00ZBUwBZGOJfAAXHb4kA4stzI9NQ5OoFqUy3sR4pqIFBAxkCoWlmf7tEtdDyH39C075SmmyaNT+FWeOdHUh012RZQqWCp4a2FBntrYIw9YJBWF29sWAAAAArmvkOgprGgtP/7kMQHgJbVTSOsGR4K0iikdZYjgYGlOwi/SkkcNtSg6JMKeCavVYAVmjAGCmksVujzx+pGxi0NsUlDOmfy5fD/LAyDGILVqOg4401fCqawzQHQs3U9VfRlyHScuGJezelGQyixOtlaHEK741LFylfaGt4eOGmLxgc7U7Qmh+EYgv0KjZxDuV9G+yWWB9TPCCa21qR0pU2jjanhrtbS/zqqDXrrv+9f3TtMehr3mAhojrtKe//Oeh0V1UyfXLpWgAA7mquGJjwlxvjA1DCHEQNWJF2WUrc3IgxllyrFIk+o8s1JwHqfqHYvACQjTJK2R4WQyBfEtWHIjGqOA6H0hAGoSu8tjD0Evpff5YRp8YXVKX1hFOwF/0X1oha2NI7CWhgOZKsmaZDTvIFiaF3E02aROME8FGUMLOV0NParmrn1OKt3LVTZH2dpCvEPVp8S7bKOS2pJyLDIoU7/tfXvWtxPvQfglvBff+Y3+Xl9Nuv6XVV27KIAAAAPaQ2wVXkNhdYrcWqpuLAZHHmr5NdgS20Fum35VnaAQBIxaSgZ3ljsCf/7cMQXgJR5DSWsPM/CvChkdYMPyEk0cm6MkHRUF9KKIW97qyTI2LTDPouJpp1xaEcVaH0bErHN80FePkl1HeFBBbBqvJZnJXIRfUQUe7csH7UtmpYETDwxstHKSLrvvad9K7N0cQcyzfCYnNxOfFlqBQOgy8BPYafnQIRS6EzM8B31uNI+xuj3ql0tJAAd0cUwmVI44MqjIrANKWFZvF3tuQBRqP4QVbkbguE7LdVRKNY39R5HNNWD5hvFlQ+7TSGGqKMsp2OdlBCWStFZAsK2RtG9izY01IebR23GjUbVUlkCp5vRlBTeyqAmV9v41K0OXGwgPRPcuJwjk8pYqzS2PS8Y+PlI4r9nhzFIhEFMkltY/e73NmuMIPyUbKnAScGXXONGSpUKAFwSA42DRocE/xWZbJrO3l3/+5DEAAGVOaEjrDxxwsW0ZDWDD9F6uRAAAAAK6RZDiPsUMVaNqUUQiRG6sOtiWRKAnRjP1Y5BT9CiXzoGREX6PgQptqBeQ9nWznXBbSWory2L8CFTwPQjzHLYoIsFfQ5KluaS2NS6HfREDyjOnbKpZzuc80VDcZMaJCbKOsZwv+LafG4Vgwg3oCpU/Pbhd64JJAwsEnOeRmC2Xhp5wyolHvLxbFjrS/vYsJS0h1OExxTViyM3RhWq55qshdTPuUalCtcZTsbx2UdhwT4jQpt8oDU1m26xy8yuD7MZlTP01kJjN2eObEKehQwkjBa0Mp/w4rOjapWzGG4JYvDUvLyiw15K8R6eGHLd5maCGactv4pSP8wGBoaT7aTXsPnAENxOxUoNx52L5ZRQHh3skg7kVKaCsXm0tF9fJW1tsQ8mwzcoc3ZzC8+epvDX35eW5RST0bIuF/0vyUr+TWJS50zhKZzF6AlU9/XQrW+nfzwKCCqVu1AAAAAG1rAg840VM9DoOGHgDTpO0R31YLjLY2yCUT0pl8zDQkWNKkeJoEYwqoz/+4DEGADWMaMhrDBcSqKxZBGGC4is7YvG4o9L2qpyZYEiY1tmbbUzovwnEXuZRDqVy7mzTCwghE7rNZG6c5In5iz1LcMXyWDIn3eXL0gbtanucQQxb6Qm9blzd8oQRnKk0jP/hRD7u5iugNbIpDHpe6u0QhTOS7GZncl6yda37ayslNlYkp3OhVimrdyvptJ+u8dbfzEZHLWAA+5yMgbA2QgJ6XaYEDTbb0SwlOyCQUsNus9EEFn6VmL1NBq03yB9oIguHlUJ1ZLBofJmLYj7La9VF5CWXPTVbMyp169CzpJWYd523JuQA5VlOx6gUoSfNURcSLjkbnxFT+seWRMavPnI4FqqciiHxQtEZ2l28HMQHDoQjEOGetBkRW76u7QTZ+6mezuX0XtR50RqyohAyyYMECADnIohAhlGca4N1ZJbEAAAAArm1QeOuGLoNgKAIey5B1Jxd8flMfeiigBxVa2J5xXy6k+WiOi0X//7gMQWgJYVUSGsPM/CrKFkNYeh+QJEPZ0zGKOZHCylMdoVh1rzvRJhdEKKk3DpDlJ8SzYY4sKFk/VitQouwy06UQ+Y7o9jhU1meVmSLBHOjAQUFkdrqGF/nBntXR3ayJtwPvfeVffNtWab62LvoPk1eM32vF//O+7E/Ojj78TKvo6jkaSJJD5UCBd4Vfi4owWmnx0LgEY8645EAAArW18aaoJUSlDBBzRJRfKVXXNzbDQMJnXZrBTKtHwbaEr5SH9DTAEQJ6A+hlvQZgnkHAT8OlRDzYEWJMRklgM4H4fpThum8TlkI8lqXH0xKMmE4yVaTuCqlhOzqi+HpYMmjxMcE4llYcT1SKfC0oeDogYtLCXtzdVTyTdDolldCKFVqf0W5p7xcs3bt3T9Tf1rn/9qaV/WQoW8KiXH7zf9937zmvfNGXHIiAAAAA7WqUSU3aIP6KFDCqbvOnU+EO4wmQK2x2rQOuz2DGaJlOM2//uAxBSAlfmRIawYfkqws2Q1hg+INqEhnXqBJHmfG01pR2Q3G2W828afaKaZbGWnEgk1k+XzaTL4i3JF6GJ+OrQlkEvvGFVWGdp3hhUQ3FJ3VBILr8av6tE6kTH9lJTUgcr+oIZk7jz7QzswH8IqnCBwANTfNi7l+tFruxk/Dve9kb+9tLmxq35ZGiyUEiwbrHcY0t/rtvXld+JR2qtAAB3NFV3AxK9FyJJEgXfe1lDKE64k2K9IIek9p+2yxcSE6K3XrhEg7Bah0AL204dI+S2nKbZcNNDEdjsSYUz1TBYRr7Y6Wi1Bihs21+KQa+j6O3FONsODQ8BkW0ICr0aRWct+j7r2vOP07oYvhqFYBOhgqSqa3Is/DwUMzIRxXBAizs+0tDpuCv4pCc7zmYQ3d+n/w//9M3luVtBdxRNFWbQFYbGOPWF0UjIrWAAAAA7W2BhDLYWKiZ4XFSye9TKAVN6j9u88lJD1M7jgTwv/+4DEEoDWyZUfrBh+irM7pBGDC8lArC47GXsoKkRIRQyjRKGdJ/U6b0hduBFb5ZLoFYkgijTtUIsaWP7D9x8FhHkXTIGtuwwJR+1A6+5dSRqTRmjb6V5e/cTgWuFF2BmIVhC7sysNsuCqL0C37vWlTvvZ4iqz1mR60nJbbARvt447HhcubOV+tKdVT/kP9F6R66Fumy9jDAhOk/Trfer8EQpfW6PDXdaiQAqsXHCEOe1oKTDiMvBwW+iKYEneF+oEcqjhqqk43RparHYYTAlPrYwNvGlvQ4kSgaAmcJCo4MEmYlSUi+V6pyqAolzUgikXeNz5bGMJDTQ+yB74m+cG3om5sET76SW/Qz0ThzbFhCaJ1GE23D3/0sL2IqX3f5b3P1os4klBAMtlW/UEpb5SKhqo/KtFPKhZ3/fZVRSqqNMzKVqEGRCymIvW/t76+j2EvvFSSxEAAAAO1zwWAiQy9hIUgWRTaCoX7cGedP/7gMQNAJZtxR+sMHyCvzOkNYeh+CTS9/YtGIk/cNNRc9e7xqy8gSy8aljWHGlVtQ+NO40B/g4LXnZVDQvIIwsemQuGAnTgttXcXKghoF/vJGHKeNlU3KGvLWxN85aGmry9CSiKz/jxq+G1ClvzSPLx7jtuW5P0Qs3unoungoNh0jmcbDhIZ1UKGUepEOTV59Wt/keif/+2U7w3/I/pZQhy4TP5fKTys/4Ictq6shLNWgABNW+IOGtCT4IrAKA88iFIINZNBkegWKsrmLQxOzpRp7NhUs0CraX4xStSDQUKwdhNC6C3oapTklZheHEQwB7NCIkXJRjQOwl50pwfTVGY2gwCiMic7FtcOjSktt81pSh8nBXi4D0fWXGSPw/Qsg8w95Fx1Pd1TRF0ONanxLCKYaOHqkzcTabtESq2tz/MRc3X8vd/3w3Pw0XXO3PWNu6ihqEjqn2nFIjOgqOMVW5o2AAAAArWjaJcZpZX//uAxAcAlkFXH6wwfEqrMuQ1hg+Qgl+amIB1Vou2Fpkw2OCYyweekD8uC0oODEGus9kcdnaBprO4u+ENNIhLlM0SGi8iib95PMkox5WZCeuh1myS680pyIIZxJmkPxB7xRRuC8XWAmNx3cMROXQ2PUaEqqKXe/5VS71IpgtBxVqm7kr07/PgAxlsOHdBnAXe45n5Q9NXa5vmVGOlsepGL/0v4JKVpGjuWGbMtOn08Ht7vttC6c11Kg2TSUgACXNfJlM16UtUBVJdNv3FHmXxUgl53Ni2oxZeiNIROnFmyz85bfUaWsJFNwAxh92VsFZg1yAJTKOx9DlWVUeRiMNwpz4vBKm95xnUhmKPXGdwUpqW3Q7WFlDF2wIel+Fq2kE//fbPf7LfNo4FiXJeljMyb12XY+79HtG44nBnWy8jM6OhFTBTBMWp5ynUJdUb75/5fMzlxZ4Yp+Y0NiYk/rWOy2LhyIlzWqAAAAAS1p3/+4DEBICVyaEhrBh+ipezJDWHjjiszWFiyAMZIgyKCbI50MOe6DcJ5/H6newp6pSjDuIt1c7UsZ+h1iLhzbqyORsZbo1GGnLqTdHFUZFOGnS9gL2S1+qa7GeVqR7tRGYl8qei3bkMmqU6/KHWNmhjVyNBE2q5C2fyzstk0qgiHZpfG+4jTaxuDaPyIz5p6W9p/nchkWV/uOXoNXrmXl9P+25Zn99DTfNBEpw1ftDL3dwzUGS2/OQq7ykl1sQQAdzUdKrFTxkZeACip1YFN2UWothAz2vo9UO0shh+KDBLa+SJ5p+5RhJDjRTHyBrxyp4WssBNVEcT9rJcPxwDkfQ0QqVCvtatJQhxYJF4/Vrbxgjp6GmdmG2+jI3tuZrNV/D+5t3x5vJsQEFWRDX2z7SK4JE5i3QrTMgeTxpPdDL3qj7Z8dAtpZOq/+eTTvmVMjyMRVP4wcwOMO/FL2oU2LJMKpJZGAAAAA7Ul8Z2p//7gMQGAJWpRR+sMHxKeTNkdYehuCR8YCOiBIk+W6QcrY02NOi4r+OrLZDFKSHldsSfyMs2lODIaZqSoaSOO7IaRr6jretKnlX5vjgViZGhOVcyeHdxqGGdv05UPuU/mC8JfL3rp1F9l4VL1bDUJYg6jSf67dfW0NbdB8EXNaPXqqZ1SucEGd9YJIMDNcnHJafmDm+nWqmdQOfv4Qv/+//tvqtCn6ySDAxdMsvhu13tEK+Ss5IJJLbYgAbs3YQakc9AhpYBDMvEi2KVXTlQ5EzQYWfMMoIZMH+IBTvIbUCoPQ87n+YGpzzXSNY244Y8hM1CgTDZ1AcjSwpI8Fe/ucyobTffmGcp6WGxHKBaQcgfVZQogFCL3jDHS4q4eoEa2K5q0lVvqq4khKSyUNql9lRN46rH91dRV836u1lesx9fNd/f//8V/L6qjcZoXCfltB0x2XEaTkbQAAAADtbOxJbCKQcICTjcVHkfoS01//uAxAwAl2WfHaw9E0q0u+Q1hI+Jpc0zx37DJI3K6NwnkA4VzTT1Eeh7wzhLBKUgkRvDCQSGjqAsD9OsmR0QD8Arg1WFC1anIp9vidiLI4sBe0QYkA/DbEdFoc4qJkVK6JNGkgo9rbbGOFw1I2bDuhw13UZVinD1ZDQMm54q7iXoag41VeqE/fferTE+TffFco20VdRaxV/aRzU+3URKcyOZmSrdHtz+zpKQyv5gswjyKQSFcFHC/clWVQAE2YwMHkeFxCqpMBEmWCom5SFmFZs7Q5S4mVPxYOsNSdu5BTnT8vmFVcYzKJ194fiDbINOxGICdvCQFQbX0qGkMskb+PNQPqweKS63AMUjlSXQI8VPGQZOPyz0bTItYXAdWXyqrPVeWCyGpghRKoVXF07l0IDD0MJYbNCaPQaOAqTQte8WGpHxOq7+lkIz+Zw/vTMpnpa5PTyoRjUk//3//P5Ya3iaEOPCqpLrGwAAABP/+4DEA4CVNZUhrD0Pwq60Y/WHomhmSlRqh+iiwAYDioE1Qwp+WI0jCYVPP/VsrS6mOC8E+ciqaYFEgIdCWG4xyhZBpWVzeeTgvQYogp/ZMI1FMPqy/HcH6fUaCVi4b7Nx1zYTjKu38aWLPM3tbXlgNEeJrDmr7WvU5p1oO+zI20W/oihmZZEHlJciy8U91pzy6Wqy0zxSRWtxNVM3x/X/zy83DfL1baUaS3b2JQVFAiI4HJCMkZCSsldQAEucZiqPL9oSwogii66as7LmbRlyJFEnFikayXwy4vOqGELKUUS5/gFYrIKYLwqEoOZmNwWolMEtsQtyMFW4FKcKkOpkeN5J0AeLmeCoXjBfG+tvtGxhsY11mP5IKglyQkDbrUnVapfdOHBkYsyWg/VIhb29LeW7Z1ou7S2WFpLQZ1C1Y6O4hoq6x0RSy0R/XPf9fLRxu4z9NfjMcxmun1IHXFqCpgBD6nLZkAAAAA7m/v/7gMQEgJQdKyGsMHqKsiZjtYeh+QyCah8ENJXJAKWSuNQKrBx4ojBUNxS87yj1O8bX7rApm7UfVAZAbzTEWaJXm5a4OLsSmpKIlMsOWBblLYy5Uhlx4ALeiotHiQRyMnJV/eLcdhFderar+5CFlY86qmsz/fvYtZ4wad0NSzO83r0fMfhPz+1LCQiGQXCxf085bdZ/6/a8++q+e1hzBt10N//6ea66XIh3av20o5GQAA7VCiAZaRyGcoZER0wFvrElaxKWNvq7U5KKMKebSNklWiBHgzP5BHyTGQpGpJIUTEkgyxJ36RNZWEtShJ04epXJM8lzDOMkCkJevl2RkQvjtJI1c5GmfbhIzQrRYsy53RYhBqxo6hOtXSqNW7IuCm54sbd0jpyJLImEk0a47mqtEdKlXiXrQdjs/NdJ16kQT7/U/mu3f/vdH0WQB+a8zzu+j/C6rM4tIvWOSNkAAAATVxAwQicCkoEPhaz9//uAxAmAlZGZH6wweoqQMqQ1hgtRQO9D6MbhluL4wDA7tRyWqry9OVdkDt2ltBUlbFX9cGSOqxmmiLpPEp9+3xU9dgmWLWbjB635FUnpwFV5fJJ+ahA2DM0XD45c0PDqxmxFQs3JVr3Q3f7qUpXv/9xwoUbUaGGp0mkFZ710EVWZjFsFqq6dBnA5nn0pSLhaJLLlkX55Tqn//ye9LhKmQ82lFv92/bT79zyRUvc9uTW2sAB7MYaYytCf8hUDPB0GSM2chtl/O0qtTsRYtCqC2wmRrOX977PZRSuIPhBzzV6RuMhfeOxp9pyvSWYU2SNOEwlvnJgikwoP5woqJppcgxLSumsKjRO6RLfjbZnDHiVba1KP5P16dlB5Eet2sqo3gboOQ9BI7HHKrDEBAVTOMghDO7ol13qx7Kd3L/7asbQ2jTeG+yaL7VrHn56nDnfu/cG1s1lTAAAAE2YiKZpLB0yuTEwDGUEjkAZOhWf/+4DEDQCUGQEhrDzPyqq6o7WGD1H6ONgUyd1sYmQ8gmRuPWJATSGcJG56b1g5Fku+CMKI7njO1ThsHMiYKENqsdbciExznVj+ZcqbUVRZiQ2WR5SSPFaYax1wB2z4xBt9b30pAo6C1Q37Qv4j5rmHR1Y0H8IMT6JhcYNe1rFvhnG3GLv9lzru/T19fPCw+lNbX/O5159AmUX1VFUrIoAAJYl8aqVxlaXhd5W5+mXRpfM8sPjBVDRWIcWU6ws5J+N+vW5QyhlTjzFV4VZJe3GJF936bjTsipmuqVJWPM7sHOMyiBKYxH+MeRIGygUgMYL5XIbJVCuNIL76cmSeDILFMt9BuQ1almcl4sK6QGAXEdfMNn0CyUlMQTsHDgWVizOG9OfzzMjM5C/pc5n//9pely/wTFos5ahPeZHez/yJkOEaIDUu1gqOSSgAAAAzZrmL+yGqrPNiMUbl8kp3eZdALfP9a3YkNebYo+D9yv/7gMQTAJQloyGsMHVCpDLj9YeOeWKVaCgR7NCbVCuWiRGPwPkw6JLa0RhgOI8ofF4sxrgAYTA8eUOJ1i8dfj4flscF6rXGTnKLi4rt+3QuzWqzMYgAeqFBC6XT6OU8vGVyNCZyKMhNkeJs4ZqX1G3PR0uhGZ5ef/npr+efSM4xDJfIIxEErbHpyFIVCj0niLcsaQAE1bDxkjbWF+MGL4qAy+1SsnmGZU0Hu5E/zbLQIrwmBpSjVZKxEgYC9qdvKFcHpAF1TL5TNU6HFCOhBmSuHBSs6wuyCKJmQlVppgVb92TBTYopG5jWq7qqct0L2M6la/MXP1ne8R6OFq5w/zby+0vpuu79BxSRsVKE4sIyJ39zSaotOuZe6qTs3/oSeR5z+lFLmZ2H+VQcB0Mv+5bdlLTvcQXfD0rVt9tyAAAAV2gENFS1eNMIBhHIw+o7rpSlVlx9n7een7n8opicmVAepSBJASLO3NqXYXFq//twxBmAk9GPI6y8ccKNNGQ1hg8hVksJnhJt8+N9Q1Hs4MFlqPFLcqZWBDXT05H67S+NbWYcNGano9huf3RRLOZPdXWi6tE1ieM5qHAkb4pnIpqcmrRWtyyMpNoZQoWZzjkSkcs787kbef+Vt/l3esxkZgIAHCZ4z778LQ42HCr5dZUAAbtFthQSC98KqENB56w0FwLXcHsld+L2Pm5NGqyx45KYBpbOMGN1s0UxFXgq1oizBxo7bcymPQ1KQyOkTdo7D0ItiRANbjpWfJKUv1ZLKTktJgjTrcnRrUvX3XJ2YdvkcmE12y+enLZ/tVmdu2tClx9OsxGiG0Jk6FJ9jQ3UvLPp/Ei3pHTidNsoIlq9jFDQ3SGF1He/H+vde/DtnXoIbZK7EQAAABdUIxGdrxv1YFAPBA0lgf/7gMQKgJPRIx+sPQ3KhDLj9YYPWaJS+vRPuokY+fqERd6LiesQwVlohMQtzc+alUmGmES08lEiGxojNgnp/sjgh8ANhxlY2XSHOtPE4XFyZH9uULnQFnMoGxYhWlhL9bD24j4xDIRaNIFaolxl8Nq/zNSiO/bTNRdV1UnFS2ZkfBmoAvr/hXv/3/39rfMblS3aDh+/18kRzXMI3CeCFuyRIAG2tHZsVPPCq2AvQ+z9N6/7sWHid2AtxzOutmmV3A9d6dSqW4tdgabjj8vHK+u48DX33lkG9o48vZ34InbCh0IlDBgvu0auYHz0IhCdPC6JYPs6tXMp6xfy//mWPvt821G/d2NM3H2zev5Ll9vhHoXDh1H7TOzetlm8aQkny+XvO7n958jkc2NO3J/ZKKMwZa4v6zWeby18K/Zew8FVckkYAAAAV1aqLkaTWUJNzBJ0XRRlCQtJqJAdARGNFKRaKwuK2fLa100JElUe//twxBaAk6WhIaekfEqHoqO09huBulOfLJeMO1phwUtpnNBcqmEwv3iAmfFDEUEZX+GqLQC5MOSRIkhPuxiq+o3Rt8dlNt60G/fMADFIzOc0v1E3hbTaYVkIIIWQlNUIjOTNiLpJ1JfK88vz8/z8ufzR+wR53MqQxX2J7/JfIJuZquu+xDbciAAMtQIUIKeCDQxRj1g1yal6JW/SbHKZp+uDG2GE3EmVUpmqJxqYZmlhLgujeUCgVsEn6gTy5PekYgRel2vK9qeJRmgnw7Q5nfzTOU40B1hLNjU74pNPYzCbV3kBztrmXmWzFQWHyNFIt3KbZ7Tv37uefZ3K+zOPJUjA/ROc2mxnlaXci9M///bqfePjZaDdGr1HdkyfLogEvt2ONE2jFXLY2QAAADbUxtYZm1gqCLJJ/v/7gMQJAJQBFx+sPW3KeqfkNYehuZnxKfkdJBb0N8b9H+YLYrDREMZjNON5ZIjpP5EyHSYDG9jQ1FAbV1EcCNFIqEQWJSKWLOYB6JRnwctVIdscmQ9LT4vIxpZvH2mXsuxEOy+9FeoY25WavNqNUdUdVrRyhFtexruOP2cqOvWVGITqrZHSMAx6N6L//m/4/X6nes7TG7FPhP9Z0rv1dyxhdyOPa2MALbNYQRHmJ0VICIA5QsNmLTrUIftrUMF+N5hw7N8+jGQ5QL6qY6xDdZSmU7izKrubga6lucb1tzAnZ1FA1Fw5Fm1qhmT98M22olATYeX5zUoyYfsJg0crKzG8NqOG2VdIEKjLGuMuURR1pweqxJU4wZskxd3F/U9xjdYq7GjbcmtANa/3FX//eX+Ioqe/TiHbd2stY/k8SX29V4p2ZxAAAAA21KbICE613s2bouInHHdQpzJl43cf6L0T12NF6MXStqbcsZzD//twxBWAktjlH6w9D8JqNKP09I9RBoeNUILvCjIWZxJz8ftTCzjDQigsqjVi26okZWZuY8x217pgcZIh7O4NXCm80retMBZk+pN31X8hd9Bu1qMGzeQZD40cFCTS4ATnAUCR4OBFYnA62uS1gMOT9jO9Y8XabCjKoCmpQlFHJQ+xORyAAG6pnDbVzSB1CoFmETbY8MkKHqlPH/Z5NEULkYxd05hN4etotzSxzok/VCvGUcq2qqMDgnkNQs5zvf7cosMYSE4XEzTZlj2qDuN0imT1smYT90Ds7v4+T/UffBQPYBCWPpAnMiY0tDopmoPYaIqLZiSVDanuWyUihU/JrPse/////Pb8+UqR5mebQVr3xtn/MPban7p2AyppxpoAAAA21MNUGs22FzAYpoSnLa12+4zx34bad//7cMQOgJQtCx2sPHNKdbLj9PMPyWcn2FTCRLGaGOFig2RZ1nEpG9bLo4GYhxLyHN689oqEkrmI3WxNi7bjsRRuSpUSXuwJ6AVZ+yxz1iw8sGcQnvac2AI7EYIBDn2W1BYbgUVVYOYp26lM65NaahpcEVeX4wSKfte9EdFevTuCu//P+2t6LpOJFidr1c3XnpQt8tr2CGUSMs3K3gAFrknw3mJbXAuw3BCz2b2USjQXo/lpLR+zsSwZUI+0kq22pmqliU67ZC7OSYRIySxWfIVdOrp+q0wXCCW5ZgURG+/jZpd4d7iptzQlZAWYNbb2542qD3/ye5Df4sQSPKiZvfcdZhhjLlQOM5mxSbKp2nLTtnM4eUOv1xNYUkyeb+f/5/SL+fCPyjULvED77r+UUl5hLn2VbcLOikj/+4DEAQCUfZkdrDB4ylgzo/T0D4jQAAAAMtTLDgOLS5lDShApsDk6eqe46M5KKeRYyqC4Sul4qVo0PVp54W6PO/UReeH4PuPAlK/UY1CKctCcmKxXBiyXhhQvCUsDsqhK+tdPV4LLnCFX0JLbtVfHfbIT94ZYW0i//6/ghDsQUxjwnp7f+5048N9yM6AUjLVbC6yWzNJ+971TOl9z///M9CkZCdIqniCcsYyK+WTp7eTEYrd8Hc6ckjIAN1cM5G1gRBGkgRI9VZh/olAMCsZ2meLAmL0YEY9o8bUcQhzKyRUlXJERUSKvtyEWTy8qV9QH6w7Lx1Oh6NVsBndzPcwCTgpke8sJOJKx6vAGDm/LjqPWwQpAtDJIgIZijGLsMilyMXunnIeWwwOOUmsecy36U75LjA//mfPJDnp6Oi2Hr0IDVm1HWLQMkHLnHx9lxtsAAABW1LHGC55yWChIKaszDkFxKuzyB4xDzxzFnP/7cMQQAJR53x2sMHrKUaEj9PYOcecTFfFvHqhyW2+N0cBw6CVxGK235ksNyGnhuXSGzN4NkhU2zFvcnLtLIjBVJlcOHVr5dsubV/O/BfY6iUa5u/FR6frNnkzD7t5tu8vuxfOyOl9HanYTfayoRL2diAqpcyPlkXnX/BFP+f3LynpeFvDKWVSrN2FO7tzIzM8kiKXtomGsOTckqACtyuLcz7VLOBUPGIcp/GqqVeUTEyKHzrlhQp0fq9rnGBsRRKSFIaFodjACxufHIiLySTygPJ0ISssHrxCPYiepz2UnjQVElrTWH5i3mHteZHs9vWYYej7vmfMTQSocr1o2STjmFt8lMswcdLiMNcCBIoQk/vucpen///wz+/8W1gN23Aqfr/fLvl/eq/QLlLIqktjbQAAAN2awier/+3DEBYCSYY0hrD0NyjSpZDWGIbj4y51GAgkryYwPEmpTLstISaHrLnaK1ltLa1LzLjvjTgo1sXJ/TlHU76L71Gy2ev3JExnB7FmU63PFZY+YMDVHTDpoxSIrUYfFuBt/7V9/6IzV+vHcIn3fNbVtXD001HdVC+z/r2nFXKfOndcXa///fe/93xTv3J21F4QA7zP5rFTf6lvlpNDnjmkcAD2zaUmZEqzIrBVOmrZu2orZaxLGQaQ+oYbJzh2kWQ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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/1-piano/24.mp3": /*!************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/1-piano/24.mp3 ***! \************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/1-piano/36.mp3": /*!************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/1-piano/36.mp3 ***! \************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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h50wIshMmAVAj6shACDgpZtAY5+d8AEQssJVmY5wIBHB1dMZhIw6hZsrmEU+85j0aUga00A71j3iTuyCG3Aws+pjkvkWvaj//9lCGoGKmAxAJ9AV/MFQMMQKYMezAMQSrMwQtMORhBQqKlpkRsLSBgSWcSqGEKBdiICMGLTGDERCHGYAph4ArQXfcMgBgSHBgAhu1a9YIeLLNm26ukyaog1DW3dDG6IFaPsRnLy883CqbA8LlT0/fOIWZEUaPpOIcVWl6m9Ibvb///sK2nWRcSmCRGA3/tsHj4dv/7cMQDgxAQmS5uaMfh+BJlzd0gvNHpupImeTYNBoGF1xAcIDerQN3MXtEdwwCIHUVHxwOHFVhDmBjOEQgcTAX6aOIQI4TQjQUY93GBpdJ+VrjengSWaaoBwF0AgxcJIVcpv9v6ze03N5g0BizhiRIFkvDpK8IvqBJMikA02LSsX9H/f8jU5EMR8FBgeCjQZ/7YxoUTIKZzDkSjNAXzMQIzEwWQwsFURvkBijwq7P5OAgMO0uUSBgw8ZkWLFCqRTWGgKCjGl6hYQnigu1bXQpguPFRVfYeDkjQhgaono1kQVOIZW+GbuWmx5EGkAgbFQ4cOkSrSJO8QIVTBuHJ0sLkHTy2v/9P/662JrOGKBv/1EBJYN2YY1mMzWouC43MqEciH46HzF4FAgfAQgNHCgGZhljThkEaVTFD/+2DEFgMPIJMwbmTLYfySJc3NGLxcxpmwOnBGm5J+F+1dJgPPztPegXCetbm3JNigleqaxx9MUuHjNxr/5TuuCYjY0GiVASqWoygYUYTFkAsbFVyL2bEbf//199IBMUCRqQJ/7bCoFjgeANuEY1IVDUIYMcFEOtl+SbKaskYSAeQ4CJrjOqFAAOHg4IZsMaMW4I8BTZYSmWECUvUU3470Us8ipDHxqRoofXGK6LbxJ5jbfzMf7jdIAEAuCDC4hHsCwUInoqWWx3Om5GbsthiMW/vOehD/9SWFi0geAxt3//ZVBn/sEEQ4mFsrioVmL5ekA7GCAliX8w6Y2IwreGLtGdLBRyb/+2DEEYMPDLsubukF4ioTZQ3MmaR0Cugs2YQAYEEHVTEhUiVLXJd17ASGQnIoPv94PbDofnzCyNDHIfXBE0J+YEW9HYqJO7e1RxrxrrNX/xxyNgaLHR6yNy6ZR/aXhj///1WNrTJVmQoDIE+sbRgk5nxiIbpEJhF1HAiMYXKIlCzCo1MuEMymMzEZkNmkQUA5ksFsWA0AhXZ6e24wGaRIkIECjoAqMOOiIkFBsYs23zhmW1pPTa0sUA5AxTkiCR6BF32HlIgi0ltfrISf6ygZPHD4qOQCoXPwZKLGEA+RKjmGSEd5FpjeUt/T9d6+LlLFCVRoBgL9rIzAoGDLGcjDF465PMD/+3DECANQjIUsbu8hIfAT5Y3NILzHzWxMIwgUQmbmhixEYMJnNpQjqBZzSx48hMMBE41QikzgXsZM5yi4IGQ+RQbrlyMRuL7pL3Pt452N3YEwrU+WdHlhnurjy/y5b+tWhpgqADzjyDi0xKkERWlgkB8oMco9DSDK2scthbU4+n//66Xl2GDgUSBPzGwFOO702UVTgYmDM+NNYJdCJgZh6YA6FLJvbAVpGHGOwUCAIFXcBoQQ1MgFm0MmetNEgaU6P7ct4A6HgNHLP1ikFkGGJB5imH7waXZ49T3F6Wrkg6NV80Ok9U6kgJBUXJyUMiwqJa3kyTEk0Ij////rQ9qmOG1//6VVAv/tsBoqN4Us1CCBLKGHgAYnCAknxCEQC2NScMS/N1EMDAHgEOl0gwUMiDGChoiBiLss//tgxBmDUKWjLm5op+HdjuXN3SS80YIrchqtBTR9cL8WnJDY1qdVcLMMD5DB8MUTRXYQUpEI6kdiNGMx7nWp1fVytRlZmM5aLW+ytlSqyJa3Zrqlz7V0T///9P+q579Z5XKtUd+ZxoM3MJxoMaoCAw3GM44mTQbmBAUBp8xg8qNzXBVBT7LjElgVFbCXhHiMMhDCLAIS1JVF8GZjIBY6dbtZ8MCYG45H0xmIJ6ay3z0xCO1SswCEi8EA+AAsaeQSsyH0jQRYuPHvFjkwKsdniQvYmpv//+qp6IwT0HBxJQb/9RCoEnlgoSOGAzxiqmZIaE1sQnCoqBT8xh45RAxYEeis6L3E//tgxBMDDXB7MG3oxeIFs2XNzJy9Q8vek2ECi7LzMvcd1UG16K4h3+FoIB7XuO9Lk8nF8O1y26eb1HwKgBPGPasaZ2hZtxU1EU6ceMFDnMj/o///0LR7Xl8YoKf+2wwGYzOHfMbiszMewdKjIRCDyjVFKmJpLFXgRlGrqGSPeIAw4SKE2wCSQdT7XxBbKkJCr0w5Phw4agig8QOQ6VEUeFIZdZ0aImN1cgeezFGoWmsejpPSy7Ipl6NS+ipts7WQ/fpMrN00s826uq+z9G//bX/70861mP2ZHjyj+gJ9pIzGoNN7ao02NhbVmOjgZuLwCzGGOmEfDq007g/540d1Z64R0YYE//tgxBSDEOCNKm5pJeHiEmXNzSC8SDADNQaOVKLAkVFyMrRjKAJdhvM7YpDoFGUKcPPUiklDyyqByS7e9FJvbZey5fy7+EiYkC5wXJjAEgc9VghDwo88slGrD4uLtGOKI2LFU93XR+NulkUOA2JjP/37qQb/7RAUFDdMkDmgawDRqYJGHiMGFgYeMmlMKGZWe9EZNaAl7sDIMcCSIHKQIEm1vOPAEhSFVEmG8+WQfhQdWz21OLjRILi2YbBDupZWcqxVprcRI1CQ2eMKJth0kCp2DLwfIlhR5hxBbi5/O32f/+33vTSbMKUJ2JoB/aSMxGAgx5kExeBszBCcIM8whGxjYcBZ//twxAyDEECDKm7ox+IgkKUNzTC8uGBqAJkpZzYgKdhGdl4UFCAShPQEmIELqJiambR2NCMUiKgAaZenZZG3T5le2cuCOJAL+LouPhD9JiSUYm16wrSHmrcJWAqF2KUEVMXpTLuYcHCDH1FNjrNo3/Z6jjh4BQXCTypz/8tpAn1kbGDkdaEQG6ZkpNG7ykZ3PQOMmMcnRVm1DBXebikaV0bUNAJgw5jQiaIQ2MEEBwZKNGmnYmMkUfi27T8ukkKgbG8T+z0xpkJDVUYdelctpx86wuVpFmXioCp8yPewWaTQg6YagSw+sNgOsAuyQSe1ZZYWWHAY2//+gcl5BRNwoKFYYAv/9FUCf6yQwWOjH/IMbCYycuzLg8Mqk4HCwKBwxYDAwOAEJmcBMYZJBgMANYLiBgNYYDQAsP/7YMQZAxB5jSxuMFTqAjRlzc0cvMBgMoyyxpVKXUXamJDn5G4+BRaNz8rNU/sljGoc6HqY7Fa7dPffXZctWFQnUz0O0jmYqU0Xolkanza2d33Vdyt1v2rXb///p9v+yd0fF+AnLIQL/7RASMTQcPASxNEmQ0IQTFJIDIAsOFoYJCmANHaEGdbDwF9UKysOsZJAWBAoU4y7r8EKTaUseV/iNAnEcYY0xC84gPsLDDDxiIzmxAyRQeRPYrss5zFMPRbVZqM66Iqo63oyU1uzXm7NTOdNfoxlHf//////q3ftV1nKjnL5hZUG/6yQwqXTZUhM1ic18MjMJvMCkoeOAwJQEYSwAP/7YMQOgxBNnyxuJFSp27PlzcycvTBQ6Aw0MYhgHFGnRhEghKEFSIDGCQBBciay4aA1mKpJJzAqJhOq5qObNVE4iG4Vt0h2MAzkUx1lBNBooQPMiKZ3SX0qT/l1/VL37UWzaumkj7WT9E///dP3/sTIUslHMkyEKQG1IF/1ojhmErYYhGBosulETMMB4r2BiR1lIKmDIEzHWKTkMGS6QDrpUXfMFFaYDGMEeniXfKc/JA5DIuJs6uyFShwaQ8XDLEh6xh5xo6RU5z8zRDzlR//f6Zt1d6Ner7tS2zqndDTc2r/p/////+1frZ5++mxqKTYVAv+tjMMDA3jN8ETREI34YNOCg//7YMQJgw9cnyxt6Qfh0g3lzc08PCZAwsbI2PDjIij1gjZuQ5BGy4ooEYGpWgaBgzNHhd6XJKvCoBDWHcHXi2FzaXW5FkhGhLHOKs0FXdCg16RLuoYpUWNFFTZxyGjgOQALEzIUeUSXXSXQdNMJANo02iv/6f9WRqipQEQqDf/bYQhoxxTwwuZ6Cf4OPiA0COGTKnCIqFB5wRBo3bB3kQlIMsqfMHCS+T2m8n2EdiYFvVtdR25dZltnWfSO2tazuu5vGmn4oLA2HjaFCwBWguxLCI6MKFuKMNAJ55diD4w6qwVpmuWp1fQjuktguwCWgcTKBn2kkMEmY2FNBaBGi0oHTMxAE//7YMQJgxFFoSpuaKfhyxBljbyY/AxaGBgcYJyGIzDSRGYNW5NGBjAWAgUAXwQRGIDoAk4GERV9mdwGkI71+7QSFwcKa8ZGuApXDDKIDmHMJsIHKwRI4q42iPIVSkIh3ZZD0o+72PRaXQye7M3YjfeS6zeRyVZKLX/+/6/ap/RkNXd3KjbEvMLHEH/0gX7WBkAccXzGzABySWbyvGJloGiDAwgV4BiQJjP4YW7Gz4bQaFiWpggIdJYknjVfxw3VfxQOHcLV55nfxvZ57zAIooskiGRsce84bdlNWYUHniRzzdMsx6nE0aDERmsVMtahjxR2xP//+i7rSuPLrd//1wbv9bCEpv/7YMQDAw5MeS5uaeFhy5IlzbykvGAZyPDT+vzzPjSrStMMHSorJBqNw+MMqeByqwIOCLCaBaAAOcrTfjnQbyPG4tZxHYE451xf23Z/JIrt+sfU28VpTeoTFknjCowgPNMuTJqGzpp8GZEyhTgVG+B3yT6WSfp/++UOlR7lgssGgOFf/bYSHpxQUauFmwNxshGZyXhmIGEIJgcUYjQaCbvCKUYUUHgEDUFwMm7qrZLE36fF7FzyD9nCESUajL/xZXTDUKQytt+bJS9R1CWwv17tgJCrlLjaFDDZZ5NAzVS6pmRaIl0MSkt2/7/HjF0CcyhVwoXVAv2sjUJNB2oxYMDBZZNQkv/7YMQIAxBYwSpuaWXh0Y8lzbygvMyuTQdFMaYALEekgxQZcCbeMJGXRQnl81DQE3BRNFFirgVlstYYslQ/feHQuMyMRl1qOaiSpWWrIGpySEOo2hdPbWudubruVnz7Z65nndPPxpwLGxCHjgIzI2BO5zmHrUOX2im7s/7GDwXOvFVhomP//6wb/9bFiG84ZnAmaeUEV2YebixINVMxYWvM0AJ3OkoW9kSgDACyz6qlRRbSCpIvB7masjjHOjwoDVx6Hsu4h1hSoaeUJxI72UGjQAuPj2lYJSJQ2UELg3UAQjEAoRFqT7hKhgVzs2y29v6Lv6hpVpQAokTxRqoCfWOMGqx4XP/7YMQEAw+Ugyht6Mfh6ZLljcyY/CPX55DSA5UzRjZgDiQ16U0AQKhw+Gck2JdF/IpiAKAjAZZDGICIvLAzgq7TBS6TQhvfY5JYNv/nDJVBAUIA+hS8CL+1msD2fWnNAJdgK1Oa8iUB9fCUtrSFQCYcK91z1ujh9e3vWxXk3mDaR+2hRYAB3/p/SDf/ZYYZIhjiVGHQUaFDBlgjmSiCgcMhg3CgqmYjosedO40hZV4Fwhw8viNOg4X3pjK5VblcsjmL/MYGcL5zKcv6lRibcPWn1SyqiyLzkmv8/LL3FHBUhLMGBUDhwFrEkFOAqEl8fWYfk+siUJbvxnortFlDj8aaBgTqBv/7cMQAgw9hny5tGFaqLLKlDcyJfP/1tMKdOunOYJOROPqLNczEg4qTByMElhgyHNTKtU64EU+nSHEw5Uv0t7TvrDSjSnbEm4UN76aKRT5fyn3yBi3HNi8ZCt07fAh7+x2rUtKk2marGSulnV3clbvZ7Cz5Z0zvRnWyf/cy7f/0/t/rTRb7XMqkR2tCpDsTAn1kbMHnMzhVzGIIMZrczmfDHBfBxXDg6HEAxEFwwFmWgicO4DT4lCHHmUkb7C3gUa0N0HXXOhMR5VXj1vkYi7A5BKLdjuP6lFWVx2vj976HHeRTu4dkEuciohgZzMiEBqe+32dkRL2RyKqS/RGfQiPVi1ZZGeVe2+3r//r//7cr7akliCgAXL//9VUGf+0QwERMyrA5XMPLjfDgEFZXGF0BaIi2HEjgPGn/+2DEDwMOVMMubeSl4gCxJY28iPxijeuv5HxSAGcGhkwYPeqIuSsOvpuFXvnAxziKCbY0XCCghldoxiRiUEUkkyoZjq/R6pZLs5nVrjnIizVC4L6nSaCRVKwPJLYGP//+bdSofBsaLFiIF/1ogsQHLuhogQGYppASZGNjzEYGHgcUNAMR4QsmnQDqqRdKdYZmBvQUktVj8ndxbTBFE2R2udmoFdSTz1kzMyFDAAQcGMLQOcE4YzOCIYt7ebRU0V3RXezu963ZnRVq6Vs7fu7vdd7Oyb2rX/////8i3alkaruDKSIKhESP/6kG/62wxgmMV9xwVOFGjowE0kBFmoMATIQIw0H/+2DEDYNQXZMsbZhWodGQZY2spLxCoAZiKmMnixp1YZ+EkTCwsKgDJWPPjNP+5ywDSJz/lkPw9OUl9VL9lCzEmwSlzrjY2YDxG0j5c6wZDMQrtsmb+VCL9aNoj1efZiskm465XlzGZdNNfZO3/bzf65td76sEUeE4Lf+j0gT8knH8jBmoB3TZnh7uN3EDBqFkBwcWfZpu3DysdYC6IZCHloTIcY+/rhrRZypW3Of/RtE9lWDf/xGVbE2VmdOX6S/1NpLcUnVMCIkLvmalaV3lAaBdhga0eGyKReYXc5YeIIOsb+r+ShVKXRIQKhYLMF/71Qd/rRB0MMZyDBggytZOYCQKCBj/+2DECYMPZNMsbeUH4fiPZY28pLzeIwMw1DKPHDTTJN8AfFhTCkigE8EAApB6mhRDqiitypG6SD8Y5IXRv024W9hxAuWKkBqaFpx0PLCkrdre8yMWb77qV2iO/+/9EmImIOUu1A/CJkLvGCVqI///21PSQnaWixI6NC4TD4N/9thVOzG70yoTMBgjJGMwwgCVwAKIHwN0AHTMNNdMa4hbCUxSEIfQDDFboPaU8DbqqqXt3n8OsHxNg61GLGxRFogxCkW9WC2JS25MpMVBUVMiQRveeF0qBEy1CBXMnWHHvJjR4DU0HGlwg+cuLMMfrb9Vqiuw2aQHAw3+6tUC/WRsRLZxDSD/+3DEBIMQsZ8obZhWoiu0ZQ3Eipxqo1xFPPKTOjYSWhUmCpsAmAsBppRKYymkQZDijyORiwyoOshCU+eMlCwCo0hYzCWU+UDRBgF+jol07UBnkCMwYmwU1YUlnEpn62z7bOk5w1FOtkTq5zLdO5p36Tq5CMv32d3RWdNFfWv/T///9vStNFTmLaqKooM/o/oUoCfaSMw4GzGscLOGkRSYhKhlgaAIjGCwSIhmYjCZgELGRBqYLJoOB8CKHpiGFQGBjsGA4ttJF4vCKAhp6Fzd5vDYUHRDA02xW+0B1YR+BvxZjOCBvF0F0z4+NNULVKOy1RCn5Slk9L+7KsrK5Ge2jqSurdEbPvtrRF1//X+vuVEVPItKTnq6BWG//SoB/WRsyYYOndSiIOQBj3iY0o+DDowATBBYABQC//tgxA4DUJmhKG2gVuIDM+UNvJT8FhgRyYGSg5P2qoFwURkAjChYWBwNIYbmC6asJfFuk1ew3C2vyGE3C6eyDjB4bfHmSdzTTZxRhI5mdotP+HfdGTsi0mfS1XeRXY90RWXuZOvKiXQ+ujrXXr////+131pZy3a6FTcH/u+kC/AVSNY0zKxEotxAGgBCKA4QERpzmY6BGjtzAIA+1cS/S0HtAm1JIMGdVnztAQNQItM3eU38Y1IYOkcLsiyo5xEJDROdRVxUXsQxlC0MKMN1nV5jltY1WqnWQjI29D0edXU7NVpkvV1ZNuvsuv/////6/v517oczokggDn/d7DyqEADPtZIY//twxAMBELWfKu2kVKIPsyUNtIqcujGlaRi4AFkw7cgMxMlbQcPmMChkocRBRn4+ATIIJrzXHMMJEwQIvEmc2Z2KEcCl5luW6U2HQYJTkjD2dvIFJIRI1F7fb/4QyAiG0BIinq9kqnzPkpdL0ZUZnubSzoizKtNHfnkWlazfdP/v//190rlociTmsoN1UULjCQN//1A76yBueaaQCz4ZpMiBgNROk4QQMmOhI88gkRM1HTBUp4n9ael2msDnMoAEmm0gNhoBAUFAuDMLlvcgbJgDHsYnCFyRnUAkmhZRKnkC903biKEPK6/KdDEq90PTT3Ys3XbfNRHcqK+j3SpKrMnPVk/////6Xt6od5GeqFYiM2Otzf/q1roHfayQqr5lm6jWaeWHUBZmJsGAgUEgxQ6TQoyOJmHUPf/7YMQQAxDRoypt5KfiH5qkzbMO1C22WKhNgAwyA4lTlzHHghAClGMBs8tb5JIpDNuL4jGKg0OjQGD7wFYXHiIiog7oA+5C1sm5qbFqrM/oXad1dmc1RioezqV3MRkL02Ts5v+hW///1T6dWXSyOqFadkmuViqRxBf/3LAftkbMBaTVJ4FUZzCoYfEmYpwQmEQUPExixwYEOmdFIQJFDa97B0RiIaNMCgcApRtrIFzFUUQAkgYqnLeWHlsOng7lqa3GFCEgqeZHQ/4MVeKWen8vDf+ZqZ1ofx/zlzp/KdzCEFTLTbSAPwOBnDS8ICyFouf2W6OL7luHgV6D0AECpQc32001B//7cMQAgxCJoSptpLSiJbRkzbYKnH2ssfQ32QM0CjZy868XGSYmQQsJhgiDCFWIzAlBo6PGFM5rEAwPDB1TNdcCN4z9AWlMIwFTrtbw7oeiNuf9xMuWVJmaMQZbNJTcXVApmurSs7OzM6s7FNZkV3+70qhHTz0REdqPuRe0+vX+rdd9endvt76e3pZncxyUUajORyCrf/6KQJ7Y2jJjo1H/MCEzMgAzooNCHBZtBgoY2AGbjghHjGD8RqKNL+MeRfMaCwdVhBWxOEOs/JckKhoABFUalW2JBZChGZL6Ve+ji9agdNvuovnwXhihd2dpvTWWRlWxav1YrWqaxUuq2R0ot3RzqRE0Z3XXqzdr3S2326f///99E10RaVUsF01/ill6AftbbMRHQoooYkjGxZOFBMz0CAxGgYT/+3DEC4MTVZ8kbiRU4c4PZc28pLxGJgOZiA5ggUGHSWOFcBCulV6XOGQEZBBgQK1M4JV8MAAdDhgAGAILpbSW/gMqhsSCxzLdk0QzRL4eVJ0nSza7aFpVy963NQ6ugNWd5OZXY7ESd2VUatymnulGs1Vq96bl5USm89rKjtZqP/XS3zeyO2Rc6bKZEOKUyiAXbJbaXrtM7XlX/66CAcHJBuBmKMY+IkxgTakooYEEhw8baYwCPN4QMsULlC5kBxuditOquutUDo0GGxNa6aNnd+xOsIi86m7WP/CrtKT30PBuaccG5Igk8RF5UQFSQ7eHZhhtymIFG0JXC7d1kkUb6ZhTFoFQG5wPCw4QVQN9pIwuhmRy5nwGawRnaoRYDQhkCgMYIBmPEQJDzLRsGBgkjTTXUkgIEmhD//tgxBYDEUWfKG2wVOIstGUNvJT8KFrY5plK2y/qPo8FK3QHX0NjRlUdKpzpswUrIMd0Z7AndYmBdV67nRUzvXDLfMrXd5io7qQjlWybnVVfkexHoUyqVVM2zMrnRyM6pp26f/9/06r6rrfTfStVhyP/9oN+skhibOa9FmdhBrayaE2GHj4cgF5gKcKVjqZVVCmwctDLLgwALzn2qRAspd5mzRCFAKiBAqtsQ/B++Q9OPzYVhdxEXcOgELTi8YhjOHznDszF8zGIrFZ1nTUzq6rZKq2jolmc3r3Wqmc1cytqp0O7XIbdP3e/frub9Gtvbql41ikMw6lyMcVb//qVB3/tsAIe//twxAMDEC2XLG2kVKoMM+VNpIqUYDNF3zNjYNBTHw0aFRQLCwSYuIBQDMaCRQmbSy8pd8qgBn4ElbDMTbE3ZBOMAKEprVfWJaRBZqdf5So2mYnNtql056mYE7u9WWVxLncqGQ7Ii3dvMZyotzNnoVEopb2Y1N2fWi091RM/p/6el2/dU+7pRZ3d2M7UjIsSwO+1ljgH7CmwBBgc57s3pEMMluAuSB2lihsC4oYKEsnZUqoYI4Z44g7SxdvWjl4UlBADZzrvQJQCFqC2bPbOR0SLrw3UvHKhAg5KJS9FpnLBnIy7OW1ESxXIWqg5kmVbHZmWp3e5L6orz9V56/9e96P3Xf2edEd+WhLodmORXY4yGf1qA/1kjEKMYZemKj5nI4Pr5mY+PCoCBiwNgKDBI0Y4UtdJkCNqUv/7YMQSgRCxkShtpFaiIzSlXbyU/LRDBsi4FjxN3lg3JGRJJMlCl3XrNp58ZfYszt/PBs4sTumwekMn0upKmy+Vt/ZUqNfOrultdukz7LpdJ1fKkimVba1V7KWrupts/vT+31an/76s+RbpcijEARIPMd/b1pEC32trMXVjSIAxMONQSzWgQLDaZghEwAgbyRUaMGEUdKFYAZEkUDWQKmUFwl12rtgAoZdEVJcmeyvRivSU8nvizFIPHB4OAEihwVh4pDGiQoIDznNqdNdOjK3850dDWPd1q9BqlMlj1eRlmdDSu97eiZU1f13fa3rZ//7KzKmyOraTVd6jP/0aKhABX2txJv/7cMQDAxEBpSbtsFSh0Y8lTbykvBGNuwsYmzkB3CmZ8Rw0YMCGKjpKbiIKNFKwIhsBkaWoQImOBIaTkRXLGLpCNOBwiYCEAQSYlAvLw8uVYFmRfjrheKaUtIscvZbSvmW4oE56nNd3Ii1uuZ/Pumq3votDas7adnZnWu9nT5VTq87k/p06bJ9v/9lVVejGMZ5px/b/TYkGfaSswRFMIqzDAMzRONdNTKBN/wuMZQRsvF9zzPAD4sXKVEiI8LsGOVC3Yh5szYRkwlDBIruyL7YaVaPI4/dqRdVdXJXvl41WdyEbS1zXVgUapYxhLWikAWsICVECrMUqtuIYdu3+v+phjRSYAQRYCLf/89UG/aSMwRHNMGjPQox9jOXPjKiVK8kBwgub4GITplRYKKkTKCEdxIgFUQ30Hhr/+2DEFoEQJMMobekH4hwzZSm8lTTCoUrG4oBEgIAYAA60IyyfLKdl9q/EtUmDLCo2CRyLEbvqY0V2nzzE13NrHNz6e9fdDLqlmnCaUMHC6GIQFkveYDkINwij/176REyFXDTDnEkf9ceBABftJEYsIms0g0eg4COAVDGCMaOyYQKAUDRZYbNAczEhaqlS0TDMKU+oR4BckvgdZQkCPJhg7ywPdqO/SSu5FLBbUMMGBFzCbEFjDDRc5BKez2KerGKdqy0IV6PVjKhTGROrEbJuXXOzVo3RHK9nqzdc9VVe39PZf//tWabat4szxn+xvqQqEAFvtbYaA8cvyJGCbYD9oXEjyYL/+3DECgEQkHkq7T0yIhaQpM29MLzgi+RojBZU1gcwiJUUOpfkAIwKU7IFvGQWVwQMOjC4oI5HMlII0XImRWm/1Ncq9Rp+tbrMd3bXtcBEyAu4TEXOEQvMGwkVicXBgjA4gAIw24VCritYDQpTHGgTIm1pf8UQuzoDMUDB+5yFA6Gga/+qoC/WOIwpuNYTzKxk2lCOpFzPwEWVCoMwQEAtSEIbg6YZkTAIaAgAUMjiw9ahuqyGsTiHoFIkJIILNrH63QMqjR8qLuytuYT6Tt2N99Vl8bxuDL/nt+WUdWYWdGBxpK61xlwdFXFRQXeDSoqIyNbY3kY4A1Wb03+jvFq2F6hMGG68w/6HCAnVB32sjERoYxaDIoaMKm9lgOexYeaiWmMymEJQGGQQKHkj9oLmBAGUUHKONZWC//tgxBaBEBB5KG3ox+IWMuVdpArUU8qJ3EcQaRAQlxolXtPPIJXSSmy8a7rIk1H6klKN/5BdgQ4HQG1onB5+UQKrGHwKKJeCwQPi5lkybfWPINSftWNpRR/Rb3ZsgJWkCMaVE6VHv/64AP9rbDBozOwQ5CZ+KfYETHiI2m8iqbIeOCDKj0JJMYnFQDRAyIc7wFqVMy2oo0KjAACAoB3YBwxhiZpt377fqozACKehhJ6jFmVgte7etGmvn+rtLdHQ70ehnr60Y9Wd3ozGdwZHQzqq3kLTmLvzI/7of1Zv/1sptD3R3ZzkGBjgU6K/6xAA77SRmXsJnUaHC5gjUbYskAIDjNDm//twxAuBEOWfKO3kqaIlM+TpswrUlcRRbvnaWCHxYV6ksgx8y3TndL9ZrMT5WmIzRoMKFtedLuo7LrNHMVByj5hgkIDhAagqcERHYqi7Xej3R7Knub7lIj0qdL3ZGrZFpRUqrVMw+k7uWzO61VO0q+f6bbf16ef9KSmXsiOY6KPGfd/Ct4EAG9sbZkKmCKAWQjHgs61JMICCIvVAj6Z8PEoyYyAmEGLI3DFgUMIBZpDx5Zyy1uO+qiXpAgGMiTEW6891opL5yI1d+Y5MXA5AsYex5puM9JHWfHrdZKH5UNajsnoTtdVmVXeWjGI5yGKq6kZHUqqnrUle8jf/T//yaU5JSvopdbXPiTAvT+39KgMAACv2kjLYHzYBmQ6I076YFSDIghCIQeMOnFXg5poiUOlhdoFDBtgpaP/7YMQVARDlkylNYKmiLrRk6bMK1BWBwKpsoYF5CsBVbLolzF5K9S7D1pGKowFCIuBxzldg4OK1DDRNHLOj2+62VDOpLpZmKjD3SkrFUv6KrrSd3zOZWFPUl+9mVHq2v9fOzfvNp9bpozM41BiUPN//9QEAG9skJgyMYDcgoLNmFTuioBQAOIiQNLYmLmCCUzoBIiQSLngBACKAxkY4UiJMEl12arodIQiY6MgAMXTLdZOXHpbPTtFLZFkjLBTygmEroyWtsVZsMVLPd3naqS7HJ3sqWQmQqFdOroVmrY1J10ZEd7U1S1WWREQr/ZV/rX///+3VSsqI4X/nLymiAgAAG/ayMf/7cMQDgRAA6ylNYQsiIbLlNbMK1AVDmQh5ebMUcouZgARD0rBCANoTBgI1gU0QKHuiW6BBTps0ZsJpxZhqd5MEKCMoV1RfPMDgqIw5y2s+kLKUTeTTJMfwpCXH0v9VSRP99p1SDU+vUbHDLFoq2f31d8mLQKHRKQKYuAaNVqLdD1f5eABptp9yLx7f/+gAQAHfaSQkIh10CAgwRCFzoHBSyRomKgOUQQhGAQFmADj/zgwBmDhBKThmWuNCe6zB4qFQ4oAwcILpcTHTyw/Yr2q2emogfASvDng84vxTRP+O9wutKrZu2rld6JyJ2o+cqMZCLZbKSyrTZ6udWonf1XW3/96aPM7t81Z4t3Q5yHZxhGHGf7kdFQBAAAADfa20KK5g2CY0AgSNNbbg5maaYSJggUNKGhV480T/+3DEEQESNZ0lreRJ4jEQZOm9JLwBALIL2HEDWNNfQ+Zk00H1TsySeBLJnFiWaOTB7k4zeSPrTQmd/fM+T1LWFuEQekGodnEgKAGKJoyzq6VOdHyWUio7nREdmoiF97vaY+6MtZVOrlzFa1/3/+1PT+n0Ta71vV5mKak4zDX2oozADpD4GAG9skQUaTRB8zMAMjDDtBAHIReoGCDAjTFr2tHHBoqBxhsYyJFlZmkx4ACpUD1a1YG3IiAFKDR1NVpmdcAAEhpkfP74VStaJtg01JG6TKdrwUjHem9E0EEtWVU8DIkzRwKlhYCFCIQDqggXIiMMhRCAUUKDTb2ryLe5S3+o12thMPRgnBYA/btpS9AAYAAAAb6yRjBKaDSI2mpFhnSqZGBGKAEQMwgAx64lMiWsGBSIa1gR//tgxBQBEbCVJ63pJeILnWU1vIz8ADLDhlScQurazdaz7qGhUcMkQUSSScfVMMj5RtRj7e2pK1k/JjnOtsoruen83Z3Vy2WOARwSuQdWsAmcPEkC5HOHMkoOGSbVi6RI5imNFVspfoV2qFKUio02EpkkoIiA9/9yxdCQBQA79rIzBQw11BByIPUx0ZGCh4HHpjgOJBngaWIboEVVLPF/zFHNk0+w2fsmVraG8gNNBxAIBVhhz+QNKInUvXURmBAdCgCbCJX90DsFDsZ55S5/GuZERUpCnzVy/7GJliqTqRXGAjPFDDjRyldSvvVo6VUjhRAoLONiwAEhYSev/RUDAAAt7ZIz//twxAODEfGXJ00YdmI+s+TNvIl8I3jSZzPiTZCTOoh4APBQYISxIyQ6VEtJhC7L3DLWFzDQEjmkhABYcxd8k9iYYJIhCMT6ie+N5Gc6WX014fthNwhBqXg7lxgAWozndT8+HcyhG5F1jL6nO8qoTVTLP5E+XR+SmVIomXTy8yLLLhFP7pP/v5r//c+lc/JTmVhysgxCIWDf+18c/qB/1jkMDZDPJgVEBxDG3kmZHrMDAUxjOBJOADRICRDinYEhwoCABD0ULBKVT5s1Z2IzjCNJEVIxKkwd+BoEo4xRfnlzlB9yVyylpb+VWns8CBQbmYXuHM6kZbFnV0dpWSY/u57XzVUlmTkOyNr1leQq1stur7e31WvrIpUvZU2vUz6NswR0UE6qUOgwt9f/DCqg0AAAB//W2CGyZf/7cMQFgREpnyutJHSqIrOlKbwVNE4Cgpj6BioItUWqIC6+TCmyAUAlqAwiBTChIFADzsI4pltkgZ3l8iEOSDBwI1KGb+ZYSNKF5+cdeXhIfU6uyPxYogave6FvlbCn+OZc78hekciu6nUGTqEtOlPpNp3y0Tcz+pfpm1KZt/z/PL5L/P+5/kS2Ui1Q0jkpGxODwkSALf6SQlVzIoUtiZ8LnNgCBqmAhDmFGBkAzQEjBiE13BFhGwZiGfVgI60LrlLwSYMbxGVijtY5QLHZ6lprjsRhEc40JkUMIKCIgNfdxxrKjMWLTVDtxFkaudyMalGQ7mkXMZWlPe15HR75Fpsz0Sj0el92S//f//7XKdEdGyIdjJGlIo8+378nAwAAL/aSQwr0xkIz4g37UQzk9S/QCFsRNURHQQL/+3DEDoEQ1ZspTQRbYh0z5N28FWypiAU7sNF8RI8Cio+OLJqCZuSwoQigMULcL/cn/e+RQzfsWbGrPNU27shpsrGGMivVcnAMkrC5MiNUW3aYmzakEAGwmaJG56LcyCVsOcyzZBmN0f891+Xn3/9iIr03SQxcKkosgmEX/+xAgP9skYiAzY1IyIBNKFDuAZM9A8AAq4xqCRvEmMUEXoc4tUJkOujkIYGgAhxnqM5DMMsDhq8a1axdx5LeFWjVx7DQnQUFjCAuLjgIUxVEHKpEMjolyPZdP3pZDaVdM6GpNo1rpoyuVzVsLNZaFNra2/9GV9On6+m+qK2pyPZSJupMeyqP9kXSC/2kjMqOjM4lDAyECMHOQhCZeKBTTDNAwRDJWBtBL0OCFgMwkFFAI1QBBwSHAEVa8+qO//tgxBmBEkGdJm2kdKHujeVpvCS9AIExoIXu7M7gIUwcVIkD/LYECySYqOUaVJjSzzIADRyRYDl4GZqiHLxS3IjoJ0TtbNP0Www3bxVOTlyYuFwmOW9yI4h3/jn//t/S/hf//w8zv9xEheSHM8AGf1sR7BYCAPfa2wwBGAyoYiCgEaJw8ONnvBw4PMryUY91DFlrsIIgIQCZC6S9IsCTN0UUC4iCA8JtJ61mEiK5KpwjuTNeiKq1iMW2tiWGPQ/JVvU+W/VRTeU93/OinIVmIJPKkGML6ifo1O8l/y8v//q2/p//Ps3Z+1T1xJMpYn9NB3tkiMXHjBIYwAaMwZTGioIBldBY//twxAqDENWhJm2YVmIrNGTNvJT8JcUAkEMhDaCAtYF+yAFEIaChcHVSGokKNQis+QCYNGQcKr/hzDT5QmH8LVrXQ3Cy3TM9hrJ0ukGjVcFMja3dGNXvc2iMa5ns7LlIV3M5L3UuplmY50CkaSlNpb6tbv276k+3/+9focrVuz7oJP+hG2hYP+skZkpeKMYICzPRY6ohMGCF7CISTGOZcLIG8KBAXuhsUIBoAUkC8SGokw1Bc6BaGgCEMcBijl74/8bk1fV4hlmCmOBA4cP1BREctWYdK8oxkObdNBQ8kztVVZ70L2c76IyPbV1Z2IdbFS8rn2ItHRPyNZe2urVSif/1taRUvIinUthMzHHfZ1d9ShABf7WWGJimqcoEzeOjOwTDCIBDB6JodWHSQXBrNR+dAKgQUJQ0Af/7YMQTgREUdyjtYNBh+KHlDbwVbIhg48IYrnDBaoMEBBtDcj8zhCqRTNjKkmZzGTWuSY0RlT1AgTAh85FKGiEsdebFQCHg4tIAUDhCgBCE2XBgqBQ1ELj8gLpA2GENMpTeOTzRpbhcDJDRsw8HiAAAYd/9TdtIP+0sYEMzEW4t8ZiWnIgQCDHFFAlRYDJCOwGT0xFapwuQBrG+JqKHOKEqea4sohSCEhcjFGv/hDsVh69fqC05UK5AiIHER7gRBAwkw0qk66Gek5EsmXpQvuw+f7ObL6JPy2md3ckyoIRGReiul1tH/LpRpW8IRpwQAT9/9YoqB/1kiNAKPKNErqNJwIQCUP/7YMQIARAQ6yZtGHZh3A3lXawYvLUCxZDMxpdDMO3hYAtNuIQHByVBKc8CBkwkJWZGmtl0BUoQCVvuJ32/keOfKWLreUWw6n3I5Ps+6DSkiVUY/PJbD3Pn/76OeUzyRed0evuYi4VUDImHE4Qc5lEapq7WMFlp/Ha6BEYERUABz7/q1zbhAv9rago6EU8aJGUDje0DAEzCYaPgrAsLKDpyPLDSIgtcFIF5ISkrW9e9lKPQXCggaBG+bGGC6671/B+WA7LMhkKlRRooQLMOBW00CQhxoq2D6RVQskZeFUODwnMiCPFyppxVJsCi7m6BShFRP/y1hdoqk0a//qoL/a2wRsjSRv/7cMQEAxCRmSptGHSiJDIkjbMK1EA5q2xtyYNAKEhQapeYwKODSYawRUkjSyAwgEgiaqXcUxb2WuwgjIgBddocxf8FCTPqEYhmoFOpLmXR6TKNVyyzzI3neZeR5b5k25JLS9ypyZewxNZ/JXXzTzuZ17tl1JOfc5Mib//5z//9z6lfImLjEZSDWwPATEzPr/6At7W2jAQYhQDFgg0gdOtKgMlCRAABx2Ac1EgCEQpfldjBQgNMHD0izRhkxIMFAV5GIqBBAIYiEGDACTD62evNB7+Y0ldFjXwlSgSimJQhJLJVay028O21dY6dDo6I7u7perk3bZdd71Y8q3ke5bvVzq3f/X67f+n9dVrc3Sa1z6B5ktfV7NlvIuoH/a2UwL0yHVMs1r04SgWFFYQaFNcB3AwEAyS8LPX/+2DEDwMQtaMobWRn4gAxJQ2jCpTALRChgEVAY4GQIAZdCmVoCgoeXrW+7XOQmkn8LtYc2hhQcUMEURQ4AHJkM4a/8X5Hzn8OZeUJ8pEl8u5Iec809TOncZq8kLht20u8s5//rz//+f8zf0OHu5q/rp3g7I9OslxAr9PXeH/tZGCaJmCAcmNE8PwfSKFhowbZGYcaQkgYDQdYy45ZUcEsmNqKSIQnv+3ZpIqFEBBKBcDXbXQGB25w1D7JoJKQNd4jpxp+GKynpIzWu7dHlXz0MdJCK4li9CVqmiO61XOvm7ERkp75efXv2Z+np9k+noyvxgAESIRSWb/W7pi9MAAAL+2SMlH/+3DEBAEQuaEnTWBJ4gI0JQ2kipQnN0AqaSBzwvULhpICDTLhkgSKPY0RXKlYXQaxCvDlxkBcNZ7eJ6IoGtaSShTLqXtyjjNvc/uzrLV+Y6BCDgcQ5QYzrOsKdkdrZ7U37aXdWfse7uzXRKzqPVKzrVmqmox5SfsxldWrRurv/mR/r909mo7OU56qQQRrjP//j7wv9rYwYmNrRKyAZePiEVTGkACHLcMYBdIIlpcJzOgQCQhC1Ea0FAIvms5mcNInERRL1cLi64GTCKshVxmuhWzyje2kfrmoiKdzlvO5dfYm0h6z/vKh3WLOymIiNRgasRkHMhaZkquhT3e7UTvt3tvX/5tpt6ojrupi3zXDoz7dulUH/aSIwFI0x8ihnObnuPGQEjxkQLWdh/gucbeW8beIjDBexhuD//tgxBKDkKmlJm1gp+IRsuTNowrMUiZi/ZENp6O5Ak0mLzKIutf699uSWbWLO6MMOwEDqiYaPGi76EKrsJXuiWtZ0nWrymL3cisQsiOReQiIqSqsnaZzHZ4m70PRLKqdl1s3tb86f976W1yqitXQz+MoX/6K7JGVYxnvi7Dfij6HzKDx4SYwwuoOWChFmoYAWS4IVGjTR1Q7+UF0SkYmISxNAQGREDTwe3HcUl1Duzatsu7N0Wx+wyYIfTMRWyEBtR2ox2s3v97pnVLWuRHZWVTPdjtO7ktvc9HXZFe/S2yJ3/SmyfnvmO7ohWuyzUHMoyFxgC+Z/dGLUoAB/7WyGDQiJWGB//twxAWBEJ2XKO0kVKIdtGTNpA6UTNPjvkxgiRCTEiHNLNrREmKEDVmHAQMY0KYAEwZw0rlvNcYwmMIiSDSv4f/QhYI2pOhj6iyo0XtVR2K3eWMRLs6NPT0s1GzJ6K6FVaI6rlO7kFFuV0qRnLSUytd4d3VE3o7Ft9PvT/67q/qqzyHs7GVWYIxAEAf//xgP+skYJvmk1qFmFrnvbCqdJkVbvKKiGqAaCRCUqHbMKHMIWUGCNIOGl7kmmLumIgZgRZABS4cDPgRC4ePLq/wUJMpFEJ7FlGcANFNskmymfZYd4X8sPhn8uR9hRy+ilnxqvZIS9LNOXUl8vMoRlLDp///2/p///MuHloluQKh4cRqYLuJ9//qqQAHvrJWFGZBeM6CMmCPsqKilwjHECIEYQKVQwMBhg2Amgv/7cMQRARF5oybtDLliI7RkzaMOlAYYQFS/5iA4KEoNN+1tfKwA8ERcSTaXc3JrVT7GXe9wux+/ZUUQhqrQ0ANVluuRLTTWqftPq+Z3WtzVZOklyh6vJ8JlaEyt8Sub0/WWdj0Rrr397bJP+Tvsi2ZHSuRBpyK7HccG69fpoFgd9ZIyZidcoDmIC+HkQgVGvYxZ5EkSLEogBHwganuzwWNmBIFqSicYIGKAnXVheBUwFBJppqMoxtANxyCaMYh2gD5CpLh0nncbaf0lfzVIUel35Pp07Jzc9yzhlqSu+UrmVLq5a5tFYzineHyy7flD//L/Ly///+lv3KlSmoYrnB0pi1/3uZXoRQ/9razKLjG240cMkfEqYsyguKr6g0TQe8aKz9d5FE3DXwZ0EAy+kASxrSiow1Yiu33/+2DEGIMPxaMobWBnoh80JM2kipT7wELC1B/qUCAR2YQ6EDECayu29Z9/0/dvWf3PIjz+Lwtqku3eVRSynZpNIUeubkf1SpvP4XmX0/5/8/Jv/v+R/36usz3J3mcNoN/9doX+0kYgwGuXBCs3AM6J4wqMaLmUCIjl3x0SRGxowvKkBRoMhAkEZwEgjAABvUwm7rCCAcpNSyANcJUk35Ddl4FRiSG4M2vKDGsWc77G2EM07ylGIquY2cjj1ag0lJUb1K9VUma/qZVNZTBHbdqIio+jV/3/X9/o2jHylcurrqUNCHP+Yfx8jx4Lfa2sw4gARjBBjDuz3ABEVHkRhUSdCdxCBaj/+2DEDYEP3QkobSR0ohw0ZJ2kipSGEFVmyGCAizh0RIqhLBwBvZprrOi46rVrynnRflq2OffIothaEHyXd5dPI5tmk//Kel75Xdaecd5nd+YloYbPXllOZMdJzLCoBA6AErWIXvdFI9C22PtsQ9OgwKHSTAdBYc3WED9bI0Y+aBN4WGhXYdKOYISNTwLHTlLKrRGpIKWN3WiYUoaESQAwE3GgYOSIwJCtIQ5hhVEZNR3u5ih6AzBr3W42dxNlRIXqlH8lvkoREe8i8xcjNe+1EQjo07GeruzMxgQ5ys+eYjSmOGM7SSSVT37/6f/9PbJspWy0duexTx/6Ipa1iiArB+tjhMH/+3DEAoEP2G0kbeUl4gYM5R2sJPTWTJBkOCjLgc5sXLUjawSAVhoxKaBpI1YXNnAoyZyzRhrK+HUKsYGyZFAw0ENU12m7uEMhH4u/jklTs0MaRsIDDzYkFQG220RjDUwHwqWHj5ECE0AEusMxoYUHSAYGvcxaT3vfaGBRKm40ie+x+SK0lggthp27+Ia3NCD/2srKqsztZbRvS5r0xfEadGBWJIJqFgiRI1Vii6irIVmh2FkOwTYVoZ06bvEDVzMEdbnDUY6+cdqcQ8gejV8mNWBKQiCBA+0RixtEiLmBUdJjFAAuZMkRkFXtBhbWANS4nErDYnGnVuQCKEySmjy/qrcVCg4iwJvNvAIIf+td2lUAgAAf7Y2jChQ2UzAySTVB0gkGEgOZzC0cSKqcGuB2wW1BhhYj+Y/O//tgxBQBUMh/JU3hJ6IcM2SNowqcyGxLKFKULUeHVTfAkk/Uc2S9zJIkk3VP36XOYIdpBFp1yq1Grusc5pV70hEJng4ecylJgFBIgJLcETTgoOOChEKH0mhi1pXY5ei310djVGXqjg4s2CA8x7J3tKLWqkL+iHcYauJKgisapSBCQtjEoosLeuoTRwE1X8lYCDRmB5YBg4WMhgxKlw7KqicgKNoyI4M2z0TSHM6LTTWpahC5DpQeXlzObL/K3NdVpu5ysyM7Ovs5CMdpyoodj1qDYqMeMZa17nUqM23PZf2Sj9P/2//Z7oVGIqtO7opHhQEKKo+nelBdIxUAwAA/99bCRQZi//twxAUBkCmjK01gp6INIOTppI6UInOQpCeOCRQkaBqwsw3RVUaMLVTnpgSMPU9xNYhAiK1ZidPFhILA2DwnDESZ2d2erDAudStsxcq0c7mZuXcpuZVFSkNu8iq71OU7mdGIrIU+VrszzK7bdEJSjWJS9Vqlk7W/Vf3v7WRyM9ipmsNUhmQjC5//T1JwE0kYlBMUQMQIMxXMq2MGeGlxjXKBqtgjBpyCyxgat5iAhRBBgBdhUFF4Wm5r7aSBRSciVkLt9ZxDbEN2TUxtC27eKak3uThBeFDSVtFb/5ofNjP1Jwxn1vnk1+ZKn9OtlnC9cSbQCLgFFsbbmPl+pJNLRM2BA8GQ4XE4jT6NWqWM2KUP/aWsRuTHVS04CnCeAVSEyIzQUmBrDrBhhgFJE3ngDCYOXxkWOjA5Pf/7YMQUgQ/BpShtBFtiEqMk6aSOlFzGSQQ9RALYGruMc+3l21b3zlnmNJJO1s8d2cMP5utJZGSI35gOZmREhEIoSTT+CuFd6aGaYgwWN1WTxzoCnPjQP6JL6/syr2ZZFjITRDkY4WH/3+oAgX/aSMQUTALg4McZYYhqBXCFwhmI+IYIqCSAzABRKPFCAxRAtmwECECEDGICbFLwoKZQpY6f4oMQOqTcHyWDQLGFMow+k5e0WEntDZf5nEn8MFoUMm+cQiLeHP/qFzyjngy8m8y1Ms0tErKpaxeg8i2d6bxxlAXKWGCKTzg8/30dzkCqD+tjiCEE1FQGgg00ZOhAzBUZeJkZ2f/7cMQLARBQ7SRtpHSiFjRlKaSOjEALLRgGR8CDxDFHkIKgSQwkSJgoKAkDnlvNha6DgdraV7cO4IZ3jnNNe0w+NsoIuaJpQZnGWEa3kM3LO317/Vf/OehbXnpcElysLpPBJPYPepz3l4NBoZP7K//VQwFg28sISQlWDzLvqn0p1qIAE/2tsMUuNHFBTUSWEJQRLFPGSKoRqiWMGAho6gFeIDDQqQUgXWGARZt/39f2XIaxRajx6zfr5Nzd26UGBl4MGkKURKff7mR66cyYp3up6Gi3Ni+Z7dN8un9O2KKR6O4WqTasefenbOEXmXn//9a7eR/n/PeF6lI1Qkd85tSm8C/8p1ruD/2kjIEISTQwqMWKRMNMONAMIFVSZgTAsDAImARalYuIwMGMKDUDgUEFkgMLsfWK8Xj/+2DEGQMRfZUmbZh0ogqxpM2kCpRcEg9S96M8kBqElNeITYWQWaJ11cl9xxuxczKizjNec4RWw6URS5EUUDheuZn9Jp2m0zmSNXPLXkI3f9mQzUqc5f//++f/5/85nrFIjTbymD0BUTvsr2bG2Ron+skZj1RmryPpsYwVVmGZEzgzaMSAojshAoYzANHZhoEIgp0roiAgYcDka3oedaWjot5VLIJ5Ym1HkrFuyCoDkRyRY2BrtpIdLiCP7qp1ud6fKxNJ3c8zupkQ6zPVWJlQ5DKyXf0ubKm2jK5uv+s3Tbzf7vU0y1ViBybj4KA439L+ihP9ZIzQnwQ5HhgO4n9ACiIWimf/+2DECYMP9ZcmbQRbYgWNpE2spPQXolJGDAkCDAM5QvUACpAighA1BOJEg5GlGqtBPQYAbZOuNdxv1r+rV/f4bppJT2ca+PN8yy7ogu7w1kFTElGYlIfgSNkSSzyeuWv3XCLwnsyJlTbLM593nzT33ovdUzvrWjIjBoCFDft2U1dAP1jbJh/pqLpMiOjbMVUEBYTABTsxYLArTOBgphMMlc4pCD2y5ZkkoVD4ZQU0xzKw8mvUvg6uHXCzBkwxvuooztkqNxGapOKYQcgkI7B4jjxdYBSKtJ3JLDVCosdmyCCU33gZoJAEkNYMR3N8+V/pWnATjDUg0deSxqW2HK2uaAQWC/v/+3DEAQERLaMkbeRl4gihpN2sIPRkiJDUwVcQqMuNBcoEYIN+ni6NQAY4VKNQw5AnXa2KLGwMIwEZxI0aiIglUYAtAIFpyG7fb64sWOFqcoYQRsHUShgQkA0SiJqebkUy/Uof+57mMcLNJnKVWtNKTO+g5olSWEiZNPL7cjWGULnJ5e/0rcjQ5////3yPynL1y7TqMNHH/oqrqjGIF/7SVFUAJkhJi1Uy58SPD2UyT0OWHZCwiBB4USCZ8DWgl4chSIO6EOTZZXA9gRmh1Ohze/wzBE05bSHQgNk2po43qIsck9XW7V0kcRcvfEynUS5mm9xdTV/XETVdzMdpVpbL9d7Y1TxQgDrA6eCZUk/sEzif4qyiIFggYkJ5//9BOhP9pIxV4YGa2M1pIN7AJuCtAErPsGF18GRH//tgxA0D0IGXJm0gVOH7neTBrCD0GUBLkhkwAQlMJDhAAyQUtkq9pEPzIyJjydbnc4poiqJqaWUgMlGCRoEh7sxk9n3LPVr0YdqFVdbUQq7IyOQx7FkkRksvZ1S+kK6urJnRevTOr/7/XfVt6d/td0sjSPQqqqhojBsU/4YtjDB0DXNhIkcBmaQsYUuVsANLHkABCiJ5sPgLOsRATzA8oMKCCywuJvlyRiJFsH3Toc39nic9j3ujUcPAno6SBEPgdHE+kMjdNHz399zbV7Pz19TfUt6rxNPE3TTC7DjzAnQSNFYKQ8Ey1Iy0+zK8bYmn0pB0BPAwYAFP1fFHS9EP/aSQwYAx//twxAODECWdJm1gR6H6mmTNowqMTASCDW4+BkRHwFFMpLRTHHioTHwDhBwVTBFDeBJkBOAqSwSNPO/krRbcBOuF5ewAGGRFodhwpxIhHuhvnOex7qpLXWdpVISZKHU0py3dk3Mcl3ZW1OrZEup6ppVFPsZs69kV/q3ydr+XRrae1mMGyuVaOwxp36LhFtaJvtJGSRwBVRBNJGNSzCisiemKoJJGJAAQWBEBkhaJjBx4uJMZSDiRlxIiCS1h8lhku64amkOf1FFUjJxphYKIpQaSSzteVjs1urndNgbs7Nseyk2PPbswJiEG3GxKGegewWUHLzrFOAi6beM9K0KFRtIoKCwIDjAJk//pW0qpD+tkiFKJQVDARhY5/whhpJNAEuQ0oFoDATQJDODSzzHRI6JPzCgk4QE3AP/7YMQVgRFFpSRtJFSiDjPk6awJPARjrOY20YRiGUJhw3+mx5s0J9n5WqMFoJsNPZg1jU2Ujo9mlT1rQta5knLMmjERysyEVNTXfYrMxTNs5lRYJbuhJ27kQ31s9tzKr3T/+mW57MvQ205mKRRN/21tr2PIEAHf6yRgAma2MigDrxuERlIqTJhLIkDAzMu0dtA9IQtcgOkD0JAHIqYYKQtx3IacMhK4amkEfzGksclGHbEVqVIHm7DmYVYQe61yG6KrqYylZHVLaVLo2Yk88zO+msi+mlzkOuRyIpEzs1dDshO//v7J9Pp+qOzM5HUznmOMw7u9699KL/1kiNEeN6vDhI11D//7cMQGgw+YiyZtYMeiF7JkzawU9Kpioq5jLSmnAJAgMKaDyAULAzIEyhHEkEVWB1FWMCygVHh2FB3py9E2ZNutXryBue5x6erd5/2Jncvs+nvDow68gTm3FjUN2lBYWAQ8g82KEjL2hMVLKCRURjDjgKhiBTnnf6dAs6pLDIjBH/sviqA/9pJDITDDGyIWcMscUKF4qNZqRiEAiOFDGvhqQ4UWAKAspOsF3G0DXEsYtDrPlGX/UEernThosYejKRkCRDjhMTOiWtM0jNK70mVEujXch7XmMhio5T7OZ6+85mOmc6O0kppnRaTKRpDmoivR3///r91Oqno7GU6aqhLjlD4OiUO//au8rRP9pIxGqNdMdceqHdOGRhgJODMKiZkRCV5mUhkYMEfYKJHHggRjALkK1JYsxkz/+2DEFwMQeLUmbWELIic0ZI2jCpzA0VYEUHgHv0OMHClL7uE4kxxZam0fKbzpdppFMk/Md/Uc7PczVjWjg3cDqwwoPmhGWGNDTYUagOuFpsADBQdkyaulne+Bo1QjPsUJhYDAEPnP2+RsqF/tkiMGRLamGAGLpnQRGTik1400wBHgVJCokyLIwwRZi7R0oYccso0RAHEBYqjA2GBnMFQTnJEPt/2FlpgdrwMgoMHQbOVKam9bsSe0s+t9aKiN5DtQl3kMrENJUl54gtFaxlY5Yzs9SutU0YyO+yqYlDK3vfTda2f9/9SsuefXuVldY/922m8mlRf9ZIzDwTIRwKBCsA6SEw7/+2DECAOP1aUmbSRUod40JQ2kCpSUStGnRA4iEN00QooQtMABkIqNAxUv2ENC4RfFWmAouzJHdtVTxnHmk2yRV9N9YiGZLTpA2tNb7qhEZH+hj7tsZVVrUy891TS6MXdzp2Me51ZV/oRLXbJe+3+v92r2/VN0qjqc2zu6poV2ALPb3U6SMKsREoU2InJv0YJEj1sYqqdGCEIqmSQAwCgawYKBh40gyNFzFhEvWot0nWRrEcZdkiy8cJjBxvVkUoZU+XZbRKuloqKz5+l1yWIyMltLSRRGS3ed6IivXOxs1KPd2cvq7Zkt/9v/Sv7/2ezodHcr2+Y7im//9CoT+2SQWOG/OCz/+3DEBIMP2ZsmbQR7YfIbpQ2jCpQQ4IcJRBQCNfjUMAMfHCsPGWRAQejI4YFDjxxmpRWMeKQItmyhxsyomIqnhP9ty/uefcub7WlFbeG/3Y7T/l1RIJybZ7jW/hVn+KJGAiJqTPgtJjJiR2zh+TitWqLL/l/NZfeHmfzMjaRIqXTUd8MFIFW/1eikb/a2oCMjJuUiRrCByBQoJs5m1QGMGNDBcUICwMBo5MkLMAoeQhmKBcQhnROHZZksK4TDIP/OktaoVSCJ4cpHIo1Dw8beyLZ6U2s/ar+5nZTM+REYol0yPig2QPCIwkLg0TOAZal1OizrgbahCcDs14zN7hw5IGMAJ37ruqpAAn9skQJeGmABiYFOzhEzSCAN7C+VCeCpogEGJRJggYW/gOHmADLEA10CCiyecExN//tgxBiBEG2fJu0YVKICM2TNpIqUYNNpoqw8CdwGoouNf+9QBS4RfV3B6u9GQyoyoVCez2ZV3oqu0nrUnY6SnVrNRSTu7uyWqrqjkd7XV2Z9Vlr+T6af/619d0nW7PQsUB7/cHvqTYN/tJGOkDJOkwQq6DVZijAtuNMcRKAUtYUzqhNAuWwMeICMGIxYIDgAIAh73u5DzUEe14LCQP/Hm2nn5bNbHgoqifObZqdZlVI689R0DKV1pKdexV0M+51YGrOTYibv00RyonzGdNFfL09t/9f2t/7y2Z5q1R2vdFMUOYcL+m/0Vw/7ZIxlKFnZdgyz027QqIgFWM/GR8NBoLgmncQG//tgxA6DEBGfJm1kR6HntCUNoYq8J7P8NHBcJeZSuW0BS7QmyTSeylimaw8UwzIgYQIZmKjAZHDnFAzGcGxGWk09bX000uz2drNdLMUqqjLvuWrsz1LainVV1O0Pu2/tdXr//Wu//erUS9isWiPszwwtRX976Uz+gT/a2wRRTFFx4eNSzjGAqqKH4XppWjhMuuMJh0QgxWDApZ0tIYsJcDjbQ41GVF22WEYhL88qqqpj7LiQ1Tcy2if1JE7v31ykK+/5bnV7yuf+5H+xv1K13IbuCaBWrGXCLWmtiaKtWW/9Dev/7X7qclTudVVtyJQgW31KE/2kiModMbEoDcIDYDzKwits//twxAkDEH2TJm1kpeIFs6TNpIqU8giis2RgIGalyCJPliICCBSRcoDeM3Fp1a2yzrTFVVN1jyj/DwaJg4ajWcaEmKKERJxpstj0R6Vr6vY9yM9D5noc1HREpuNR0e7GVjq7q+iR7Mhjkd5WjbdlVns+1L+VN///7vchUuYex0Ai4B/9+yTSL/rJGZAcBv5WCAVs74s0shOIy9QOKEVlIAzShOswQGoDA40dVGDmqG5EnUZbrGk0lElYFiSXnDyjECTEPplILlai09acYXfZ6Fe5KEU9KtszI2ytotikzdtVWk+rI0s3UrEIZ6MyUzGLcmnpb1vf1vp/6Uo0jOk1rrhSizf6+99CqhAAAAAN/tZWSpiVOYMiYo4EOjEvmkmPnwWGQzAgjBGgaDRJZsKhBYWWVAxtQMiHKP/7YMQYARBY3SmtGFSh4p9lDaMOjMxCRp/sLYuxOJd9N45+h2VBYQpJo19mYLydHTzs7OSbM92k7M1XpyA5q1fNiRSG0te0EhIVIGj7KCtoq1g1wqw8AGsYnXx0eYLuQs6sUO/2+XxYX/a2MwbIzypAEZRGGnQY+SsIoqvwEQHQAJNA0WnZBZIJLQOmPMkGRIEuJnldxH0X6xCI/mctfrkMSeAozmUCo8rFCyHlIvuf02pFzdCp3t7c4eSdyhbPSPPWnNbthDwDNgE0NSdKuAxOnR/12ahdjxO1YULHQv/9dYAB/6yRjzoxhgvyatcZhaZSMAlhi8CqQgKlmDNpAKseEugcUP/7YMQSARBxpSbtYKtiC7MkjaMKnFTglgCICElxmPyp+FKosrpY8Nc+dvVb1ja2M42zRcoJHISptdJ0QjuqNOs7M6tdVsytW663uY1FdLu5TondnMYiojXKjKhWbO796UvT/5v/3vqhKVSzERGnY6B2/1dmkT+2SIxdkLU3dAXAB0zORBbKZ/KZIGZ08iGZ1kGCzFg6UKjRgQNCCKQCCohAKfZHSEIFdqQqgkO98O7pk9S+yoELxlbj4nuM7TjW78ydeR+WVX8rLqTvRyMqo6Kklp7rlnNosjsxmYrOGmtR3Si6o2vX/p/b3aTnmV3luygJUhN3kP0qD/tjbAMcIEBhY2b8y//7cMQGgRD1myRtYKth/xhk3aMOjLYzyoO2m8ImdCAK6ASoJbGcAQNrYAMWlC8U6wLMYBC24u+rAuZG5QeLZ9lFqmtUHAWxkHkQLGOgO4dYRzDHfNRV9WUzO+pUbnnU7rftlcxEpXIeZXU63N5uj6916v26L//u2/eW12KS07jJUcxTjyigeFOhurJLSYURWgN/tJEsc1rJKEzB48BgwAwW6GByBQCBpaiphFBhyCDTtFoxIMNAhpsYMSW4pn8tppPCoquyTc4aqBhHV2FpyATirDIeHCJOG/c//YvvNbk7RaSk7l2sCQLTCBqhOse144LKDwonEgcSaPAZ0d860hp84tgu5bWixIYe67dnyzG1EAAAAAn+skRYOGtYjTE1Q0ICgYcPgTSxzFBjIFigAZhEY0kjJeDggYT/+2DEFIFQOQcnrRh0YhIf5I2sDWxMcCeoChSzECM+iCHOHFElh5H+IUmfqXr5BQi+LQ3dETt8p/27xSy/OtE+2ER5R9l7Sf5D7lSIypwyzMyb2B0lFAZXsJHzrtbxRX3aOlSUOAQDAzP73P6sWD/oraM0FCB5szgPzC2MbGGyWmfJkCGGjJJDyIICwUmmJSUXPwU2wFhvXepErG+S3UAgTPsg1vLXFlrh1cBAmAiFmNHPVoWUpPmX8vlfedLYkNDY/KJqWSniimsS1LOlLjBU6qKg8DYxh00SY9Nz3NQX1XPIwE4VKjAqIAoLmiG77c7Ve1VX/ayMw5QzjJgRqC4qONCJB1z/+2DECQMPiZ8obWCnqgO0JQ2hivQZsAQxxQDQDsBL4KK/yEJfgWWOBQNDmNQeGGU5odXIw+X8yA4YHGDpxZkQgKZSK5FIOulUVnryFVuh+yOp3O9yqVcrKtFXJlM96IhG2ojIhEQz0uz7oyXQrp//+6pf/nrfoZ0zqtERDCBa1P9rbDBmxgSuABOzkBTEkwyqZ1WhiGRRwIYUcZMOiQ1NB4uuPCChETDRIgp50c0OcQXWyiUd5ErcuvxbQi0jDRKhu8rvKuv9I2KeUhT4c9ohFzMvIi7cvqW5R78W36thurbF9pZKRHGn6Gf2/VlbX99slVZO9WdVZ3sHjBDnR/f0KhP9ZIz/+3DEAgNP4aUmbJhUofMx5M2sFPRDuZF6P5qdFjsdlAapybsfOsNQEz2DXXT+lpakcGaCOkExg8wuCVOUmA46oFzyv+Df1DZvmRJZbMVrrSa/lWKhbVXMzu0iFMNVs12VHrWbc9tq0dWd86O61K7KCXaPRmKdLK3Z6/5fNuvk9k06om6qQEWzuaM8T2X/6pgT+jDEVUKBDKE64cwzkakEmgv0cNFU5jwc3lC2IBcSHENMeiNgKIqINGzS+aYq5gExh0HYOldwYxTmFCuHqFHKLnZSu7FXOzv6V6a7qVDrsTm0zI1nGHW0l/ShyUHHZcz023TdmRM1U/S9Er907LV/s8+JGAcSHgF/tcvrohf9pIwwgbkETCChsCBRpIpMsNafJ6jF0DxBQTOApx0YGhspF7QUpA1cMock//tgxBYDzzhdJm1gx6oJMaTBoYsslHA6lrA6HPyDaH3FZXNCjCZaiXAFbn4OIgi44OSZf7/ipb02MGdAPp6Q6xIai3U06dylqu/9uz///7v397/3/xeerKD8kwECQygFd//wGQjGtW6h2EPaGqkrNNFJGlZmQyxTFEDKgkI4uWASEIABiUMy4JBVijc38TklKYzAKbeFLq5hYzv7x7yO1rowY4Ob+dcii/Gt/Ne9kGhEjRyUkPS1CUpnIh/lHlk2J6WecXyyke2NPtjUrtbf7ZNOndG3ub7qRHGBUGEioRPf6GJxqxf9raywqNIEURNKAHg5hILOjAVmaBkUmIACHGCIUNI7//tgxBADj8mfKG1gqWH3sOTNoYsslYQUZPMxkXy3r7xpd0kUpaXS68DLKLoKOZBMIOQqnUzG+yvV0I1Z9u77KVp+dbqjFZqkSaR3aRHKPYpKVlTclyE2K2z58rq78l69VzN/q127r2lsVHo62HGKfb0eirSRlwDFJl+mSCHROGFmhgM14lTQinllhwAZ0wnJFS9hWABAYFQRAIR3hLuNbJALwo7Mol3/Obz7hyruravT92tTiIocmIrdfhSXjkftlSXnM0K9kLIvrMUtM87UYmpLdc5zszyvDpb9/ya36/T6f0aXohCWBBUWeLEATF//9NUT/WSMcUjDVWAVcmIUGbigZuZS//tgxAmBD6WfJm0YVKIGImUdrAz8qkqY4IgsWSNCACArqoB1RgQSY4aYoQXXljWMVbHCQLaXLd+TxHJ0d1xsvS6v5eNtWRnS8ztZlrJVWOyvpdLr+8xWO6nJbfWrHQ5Guj5Czpkb6/X91/7fN9ltqhzPuU5GMUNaqjAD/PL99qCn+0tZUemGBixMwKgHeTMqxKEYagBpDlVWBCg24RF1krFDAEcPOBqF35E/TsLuiKhjgT2vj17Vu3gVIyBArtWEzr3/KesOxJTqmbkZ+mcvW1B1c5z/Jf337M1oqnXVm+gozUxZ0wUOvSXRUw1A7T3uFGPhAoWYdHAkRBg2Iv+271oX/WSI//twxAIDDvkjJmyYVOILNCSNpIqU1izV4dQJANWs34RNorvNgMz1lAS7RwpiwjbqjIQxAMbZgkIDi3nf+qh1hxHtw6L/G9Km807HEzpIFNKdlfe21j7jtsQyldLldGan1d6Uzqv2cjUPbuiOyIb+7NIhe/BhRixXXepzl/RJalGWgY24sV/76aRf7Y4jIJDgiRoQCv52x4JIh48zG0xIoHUQCHWANKlRCgRCELgAEAMsYnwcfZOu1uaYjU0HGUUe9D8scrtVn0yRsMbi7U2Vs7GRFRWsQ5yJ/e+i9UdKZl9EW63yC1t7/RO1aVtvcFdbNst2SVGZKI7/9v7nXzZTGOpXqEPdOZuRYpjZOkAC/6yRCrACHy4Y1pHoIOUkX4zVAAmnGCu9CA10RZNpiSSaoc2NmETYkut6W//7YMQWgQ90ZSbtZGeiDzSk6awU9Fkxm9TXa3YwxAErhkXFkCDBQ1nRnAusyGxGHTB484cKCsMnJKTtApifSBUDQJHCjFiMHTs6KDz6nMhXoVls91Xi1OmSLESRv9rHxbL2pOkAGf7SRAVUaZYBRBiTpxBodgFuZrQx0oboBhCYo+sBbg1FVLNP8yjHzjU1xMCgIsBhpWhrFv/AVkMU4+KThMQM6KOLLeca7u7Loh1d2tRkShyuR1fI8hHIWVUWtaJc61nIqsqurL20d3RU6VT7m1262/307d+zo51cqpkLc8W/uJ7M/XWAAn+skQOTggIXZMCuNCBNUKCN4IxmSuOHv4lya//7YMQOgQ60ZSbtZMeh6JVkzawM/JhQFJ0ekYAxUHxhxZMMq96qqYj/p9OXh/R2mZ6bH7EDpsqaSEQLic40SOiCKCQDrWTqYJpsubwEPUsusqHmEFqJkwwdApgubxeOo/c7++gvE60gRaX0fi9A3+0kQhkhZ66hlDZu0hjigGzGahFRh1MkEys8+FQS5I1LsGggRHlCJjzSXJTCcRQVyM/+c53trglgjMwcB+iHJdVqltnYvPvDlKUisMVtMCyEmVhNZMkKMHuPJAzQXYSBkTH0gvdGvmP6FVdmhLVKMByZDQF9qtQvX6UT/aSIkvEAA0ccIpyZFWIFrHO8nqJkkoSAM22kwP/7YMQOgw8QayZs4NBh/rQkzawM/H5TeTAGQBOUzgVAmpNHoCwORo9Nbufwnbwju5uuaBupIyW2lra1T4TvCqDBMQQCZJTQgFg+MBJpmk00w0JhVT5YBGnSYshCBVKllla1f+0whRRpwTHW/xXZItFDN9bI18GtSJ4mkICXAy7QSjhTKUEAf16JDgfwKrFU32ygxZaE0DWU1eNNeQSRNLVrF3m5rVnHLDOHABGqFkZXj0pcvd/z/a5ZlXLS69184auDJIhQ1R1jdGp+5GDI5fI9VnD55oeR3/vP///Lv//5/ecZTVeQpVliSjB2/93Q1KogAADP9pIxQ4Z9GrAArZswJsYBNP/7cMQKAU/wZydNZQXiFjQk6awNPGcmRN8YxyIKCc2wQyFvk0E9gSGHpCIVKiRsggNXTSEnmV3NeBEcw+V6lSXIhykHGoHiUF45ECj1MFThABlBx02lRoOhBwiCYmeKHHKDzULE4CRQFQITNBJYrr+v8vSRfFQlFSgQBkSdP14okwBb/A14JNTMiwCcK2pq4jQjTsCJ4IBqTQyM77L0OupmhiVEHFwNOgkrUjukgWRpPtIx/3nv1qli1rdbL6WjsgTK7Y3KRcB5HKU/za2e56SMpfaH+2nkZ0149Smi1j9kdyOlZRZ5H+Zkd/OEnb/5///SPy/pUmyb/LLXKopfo8jCWf7ddBJT/aSMypQ0DJMoyyEBYQLIckR4yYMZME/RAHMehTCcRYiui4AKeAIGXEkDO3QS0cBLRpf/+2DEGYMQLZcmbQxXodwMZM2sGPSWPxitVxt3iNSoIHZCPMWUy7gi3z4ZZHvaZymZFLtpDY01f7/k/KRORH0yzyM5kanO2SsZ/YzKVqzfb//t893udHZ7tdTKCIEQbCVf6f1rf7SRAFaSB0FTOkjULTGSAcANMgYWC8hiSqczvDPvIpekAWbPQy/YYSBYDizTpOnO3CxrQBUfpC7bwiAzTzOxoABGdOrnhc0ONvIRqEA4FSQOn1hMWHAFwXItU0aWWXKGlcPVqey3l/Z7ed1kCJ14YSW/0JoqXTUTfaSMV9BFMjNoo71Tg+B2hu/DoieTtkqRowK/H1mJ1pvnM8iEoPk3jS3/+2DEFQMPPK0mbOBn4eKuZQ2sFPQdWUqaNzt/89bw5+vtMQEZdTTN7ny58Jlp04eZ5nxZtRAZC5FVNhOMALxURsMCMHDA2VGmyJa9R8b20p0VvX3iBS4gA5KOBUQs66GdNajjGmf7WyEIkQnF1GPMmZGGgRBzkKzzMMwASzICgGCI0iX8xAmAUyVANEeSOUiwC0mhvBe/wQiLK10KLDCSKjUcrKz2rdKtfa7pJQ0jd1JNqTu9XNMt7oNczVRWY9pTK7SE3Za3Smz///36WZfFRkeBwyHgoAS5t5P/ppUwAADf9rYzKCBbROCAFjuYNZQfBOAI5iJHuqMFMPknsmSuGhkCgDT/+2DEE4EO+aMpTOBHogU0ZOmkCpQCIDZnGdB1mEs1eO//gZXeO9ioHDsZKOjmZ1NNbRr+ursnu6Ormk2VaWZVMc/0T7ozsLQqyOrqlXQIadv/9f/u3//SpXeRWZZwysRCIJ/6PkCAFf9pIzEPhCtSTBUEzwAqiBLgZmQYoSYUUjAIhphTSFjqqmcJMIaiIKEwBoM3JUyWUKbPBe/YPDzRypCskoIJZLKlzFXopDkovRdpK2V8lzuzIraOjUWr2RGNvVSsSuxn0RpzkTWtbelCrT0Z9v/26yO9KT4R3dJjIRDmjeyr/Ys3/aSIlVGsFKjM2KN6ACIRNxMXTERAoUqfFCIcOBT/+2DEDwMP4Z8mbQxXofiy5M2TDpSHi5WWgwCrGgmTNagyl8VVF/qAvHnv4rY/8trjCwgpHCmFVDqepXLTMqWndEMjqD1enr91zMyLJT3iZEVZb+WxVEKHLyLo+x/tKtV0ru9NNft/+l6U3V3dmpMuFEP2a/3LE/2sjGmTEeXgbwprpBs4nIToGeyAq0siRMwTRKFvllKiXONjGKAwVvK8GL2XqpVBGv8O9f7sa2yBQikV8eJyz240FLDufPnZauWuhuSnnwSdh8vCSOsKoi3yl4pneXVpVpl5f+RTmfC//85Mvv/6XvsrXgXkv9IGUQH/3/jFKkAG/WxxGqajC9FE0Z8NAmz/+3DECAEQ4Ykk7RhUofi0pM2hirzFh3gxeAxyIwwQuwQnQSrQASNN1kpCKZEYEMz1zWRO0gyrckq8dXuIAXmMqNyzBCZA5IYjGnxjui13bVUkW7qsyqq+rnYnVLHZzGO0m/ejo1ZnZ2MyKitq8yEss7PJeb1XtfT9uS21TIrsww5QCcDgKf3tyZonjA/9pIzGQwIBSjACYxTMxo8BXTHyRCVL6r0JC5ChQicRTp10rAc5JAi53tgCOpyMjUUgimx8BGzM3344Pe9Mww8Pyd/I5oe5TJdfPJzhzZSm4tEutmfPiGfyMWWaWlxUIqc8nqsX7F/t/oX66L/SRrKhJCClMhZqKQb9G1WIdVUgAABf7ZIwYCbdjXQsye8IUfCTTgBJCArSYZJUUODzwcqusAIxgwoEImPOQC7q//tgxBcBTymdJ0zgp6HtsmTdpIqU/l0JVwHZy6Bl2QyksKsLoQUZylPd5uqo7v39d9fXlfszVVkq5Dz1d1OqIyH1mZDrW7+l0raxPT2/7/eubos5tpTojoejRUsd/0SakDf8OrAVfEiA1LRjNExDnhg6gYHIlK0iqXLmBh+Vq2NVZ2TLwMAQXwdOCkyWpJiQBTfwxK3bF3jCCQxNyimZ9qNWn6e51SsiG5WZlumhbJXtWTK0xaJd9uzMVsYu7NTd3bs3RLe7l3f/ou905H4lCGIOUOCMQCujt+ukwjv9pIwLcZD6g4d6J+HpyUOGv2PeAptGwsMiCBBaLMPacgEMEZHAMDp8//tgxBSDD32hJmyYVGIIM6SNowqUH6TQaSpvE6vPC0N36P6NuJJIMkEwpqtu10K70R1bqZSruzHMqMiM9D0LWZE7qhN5CJZLHmZ0cyWe7/0yLX//3N/snqvUkx7Oyo5SuwoMe/X3Vxov1rkZmyhqlStwQyRoNZNWaaw6RWwQITpBp8LMBgBeXo0BTIzQZ1gwnC2kPG1JNxPiAO5bFXHjEKPzEAeE4DEHRp2at70lV+jVI+cit6dFupC7/9t6UYygiNR3gSE7uZCFVCo31163Un23ZUfqbmRVO9UKjEOZEU5ggggmf3pnJt/VIAAAX/a2wz4FWRFExRo1ZAccy4ZjEUS8q/wD//tgxA2BD+WjKU1gZ6HxsuTNrAj8MRMJgxVt3XVjHklYRYcij0hWStNq83h/iULtesThgpmWbQjzIyLp8Pcomd/PyPyP9vm03PWkvY98gXySmlpvmslM2WEmT5L+UmhX9/L7+f/yz/+ZEh5oRlla6rjEzMRB//n9Vxv+0kZm4IWauIOIwusMrBLfmbVpVAJytYFyzUHlnmguIglBXyK4sdqb/vAoouxksQr81I7Pe4ZGONKHCHO6lZx33V93JkZ2t50lRbNcqoruRFdFV3SlVpJMmXS3arwTqk90RHme7f/9G7J/9re19StOi2BngRH/7k2JFEm1IAABT/ayMgbReEujRWBc//tgxAeBD7WRJ0ykVKHvC6TNrKD1B06iVZuTig4Q6WdIVwQqRMtndZ63kEo0+yINq70y+Ftsu6JzH4hRHmRc7K3pHLy42hqENpD1ZMxHWfTSpD0VrKpEsLXfdD0ZlVrOjOdke8h2N3ppdavz5PScvr7Z1T/v7M65S10eDeVeLOu+RYtav+0kYiFGnSIGgpIQmTXpQh0QUjHKHkxACFFzElXhk11wkdh4lDVPJqcmdNYFSlgMQr/4Op9u/SEnuYRApy4q44djwFcy3Rp0N1GVSKo4Zf7KsxOpXj/ptXvY5Ktg7Ai1/HX1/ft3+W/2f5oyyl+r6Pogtjzf///3f7//Sjf9pKyx//twxAKBEB2XJmykdGHxNGTpkwqMAaLLLBrc91zXVJxjbZNQ0KBKjMZkzmyg51GvL9nQy0FKrWaE9EcUcSWX1E8OeaZltVVbOkw/UUiPEu9en1bTyvomS+TOr7Wv5J2aZnvPCWWGRdN4UrTP5C9mplf7JnCPvO7FMs/PL/P/8r+Xp5aJKRmZmiBHHynp2aVP1GAHf6yRjGQLFNVEntEQoEDE3zaxMswYHZEZDIOpCJ4q4LNkO7bgYlpT5xJ4IHTfYzAH/4zcyZd554FKVSHFJdlu6klLv5FIqM01Xd7L1s9s760euvcIzpI4kxXo2pFPuh/WtfdjW/+7977a1eR2lMqs1zkYdEWwX/br7wHVIAABX/aSMgEGYWEJAkNmyHh1UovgyQSkQ4EWsBhcywgaLz7pL8pwEqHALP/7YMQVgU/poydNGFRiBDLk3ZCPbCHvj8GshXYwiC+98BmHzq6tKmTEO6oQRbRWI2h1VW7XodNpDuY1mIV7OjkdH37FYindHeuY9TNatt6XJI6M7/b9/T/ba3uxa3Y8q5FO5TXQBJ/6OlB7/GdmOjgQEybAuSJ0CaZxgmMwHGJ2DKpqRJDSKGVh0/B0QCgrQygmOsIX83OCLHPiVW129Ys8ws2r1az/cM7P9+x7eahcptitFSMZiwiZDSKiN5PIhFdhbMgGJsluVo2TNvwG+dB1Iv/z/8vvT5UnwklIckIUgGCIGEn7dGsUctVAC3+0kRoahaFmBqDnSgAzCdMyOzJbLXjQQP/7YMQNAQ8cxSbssFKiCLRk6aCLbFRNKJISijzMG5DzAQeoBZwgpv1AQQIcc4WbUzbx7380nrKxjkY7asV81GZ6reya1R9u5/KgeD6z4HFgIGxoQFVCRwUOXhZ5d59zpA8hDrMYe1bbKKiZEcEFoZ7PrrpTIAd/rJGYYmZlsUCjOkQAwMEIA04wEIGFm4SgAjTJCBojIY+w1qoWAiwdOiWQRDzKVFm3gy93k/Y/+5ays8rTcpy3Z5+XM8v20xJUiYT4TMjUyYt2WVbQI3AGRWWckKpuQ7O2SJAJR2/9/UmYfu//0V1Zz90WiOVArSFDGvv61C9ly8AP/7W1mAke5BQgaARxFP/7YMQHgQ5xoyjshFmh5bHk6ZwU9GGkNXEU4qKnypwOjhjoYrRxxlzMQMP6fEIpo63RabZo7f5uMVf+xZz1b1ypMWhmhxFGtbFzz7NJTwJ4DeDjpiM32CcOxEaaJHhKieigkjK5h59/zlRV/9V1yq71Kmch1njBn/6TADf9pIwtsVYyYsanKyztoDrzG/BQB5St4gSeMlCIPoVmugkGTETMhMrgVv1YGhRK93oRFlZXSkYYJNnUVulTs7bW+q3TKu2R2WslZZ1YstH6MXRFelGlsVSqbWkpldUSlXz0u/99PtSz/qxnyrclhCIAOEUdvVr60BAAAAAL/tJGDWgOgapZsxE7Z//7YMQJAQ9lmyesjFVh3bHlKZCLNJ4FZJkbCW6EDUxEWcELSpiOKjXwgYRKJ4PlEYKcFazJYj3Pg5HyCbyhXU8lIit4XoZJk08jkM55E2Upl9xmN7D69m6KklUV1MqXdplamUjaLY1pFv/+ncvXblT6HZV90pQMQNAh+3R0zJAB3+1thhmhRYgINiUFEmnY3wOqHtE01FCoKbhpEPIImsSG0KFQMdg6rJ3QXi5U1/Pot67zfe4b1SV8UVCZxQmP+Zf2r7aIiN5FTyJbYXOZVkZldGdSMVBOI1ZFNZSM55mfOf/XutiKqEUr22cEGg8YCgY//Q4qqiAAAP/2kqNO0RtmIOcph//7YMQHgQ/BmSdMmFRh/jRkjaGKvATiLyiCn5NUkcxwLhj5oY/OxBW9dagTEm9kESguB03HBlOP+fWZe+DdD7KQkpFHmpZF9LPdc1jklUx6LoamaMqlo16uVkzqjlKqrOiPqzr0qXWdmRlTt7+lus/0W3RdjSSrozusoyjBz+k7iykVEDt7ZIgCrEAtQYxwwyKs0UIHBDJNAcBLeplgIebAgTE5HE19PIGAgwk7r2wVFG6o9tiiVN3rE6wZYGwEBCMZTOr+d9bSCkX8zM755F/DJShzPrIkhwi9bZnkteX6ZMVNFm3tcm1Mt5lRqX/v9//1rouiKyXO5lBK6HCN2WM8KWaqQP/7YMQAgU9JlybssFKh2TBk6ZMKjAf/tJGlybskdMtcS2O6oegNMwLiCQSOaKZyPKVW4YWFgShCConRVYAbAvwF0rPS7fprdj4feSNddBTMCsff6HdCO1vKpFbdFOhXdTXi3ZpVrdLsZN9Lqj7ZUK1GYt1Ul73Qrz3/99X/XvRut51aVSnRg5cb+nWc12oMAX/xBgGfg8hKY1lDqcDLRF+YhqbCerETiYTAnIbUub5BKjc5c48crl6xnAmq3+FtHSYis6RJM2UzMRXVjyN87IZaXVFpmd1uzJOamyMsz0U7q7VwVXclmbVVbZy1P2RUtds99P/n/77UQspok+yPHri/+N6+6v/7cMQAAQ85oydMhFliBrMknZGK7DAAAW/2krCtRnMmqKBxTaMMg4m8M5w0TlTlqR40DiCyOMOKheRVFFRl9mvE3hTJduZu9+ks1s8Mbf1cvvXdhCC2Yt0wYZyZBFZIsWeHEYD5pPjU20yIwJulKBkmSVt9z15JlTrRTafn/03ejtqQ7nzqJGOCZjneL/+pB3/WSIwwDkagI2zDfSNEQPgNtwzlR0B7haU7AQyGH4fSzYjGwxBWP3AkjRiAB3Kb/wiN/HK7RxUKsEauwNkDkfOuTwqWkLNDbIknE5OPVKH+5L0iKKj/Fyhqy6UoljIGRSPaT3du7vf/1nae3r/2c9LHZwhJCuFNiR/RUtKsU4nDdXAABG+tkhMCZEA5PQ3RMzpoO5EVgdijJhBUGgBIqa46RBHeexIhj63/+2DEFAAPWPElTRh0YeayZSmRirQCIQl3hEI5E0e3XlNTnrZ5qHpHcA6jDqLSnyGfnlty9JO+f+V4fyFwlzbVkUtZWcSzfZkEoxqwiFHH49jmm0HUxZiW8PO/+LEh48ClhF6Ltnm1oIAANf/62wKXikKuTHVFmB88awMwYEopXoTIdOBNyuSNaceU6oVf9h+OxloDexqN96MUo1HMd9HRj0Vy8z+GXP992rWxeZ08pdqmTnW8kvusS9brVT+uZXa6nQ9su6uyEuZUZe3duS/XfTdVLdzMwMKshMUFYWBP//1qUAANb/aSM1I0EwkkBGDMfDQyMUyYjEYRUL2JRHUWNHwdFVH/+2DEEYAPsZMnTIxV4d80pTWQizTnVVMiOmfTxOUwEqZiUOu5vQcwjOKG1LHCh4UlQ8v2zzmZQik/vKzfSpJENSUkt+st1PaMTn9pHZeetbSZzzIsbLffX+n+6/J9kOzrVyIVFkeLB0SAU9+76qaBAAAAEv/tbWCEDbYNQUtSabpecIxENYNPgtXwkEVxCRdSLMpeaVDQ6z7cmiUrVVazLovzne9xy5urvdy7hshtNAU6U5TJd8k5y9uimIlIZlYiPGUuZTdoBINozAUYzwVKURTcZYeX5x//1yXal6JVmJchmQL//voqQAtvbJEBKDFTQcIpzLLNxki9NIAGIKFK7AxR6HH/+2DEDoEPoN0k7KRyYeEzZOmRipQw0PtdUuepIlJNScWiEiokPADIWN6G19c2ziDcEyIvs1kMjL/SM0ty/7ueRV82hz7ka5djm5ESAwEhMRAAdEz0mmNJ2kyoiF3iiEFF62/m7ERdQVCBUoKhrWxVwkXpqUkgBb/aysdcNYEyRTgBGvTwfEoDFmAQZQAnyhOOZhVa87ycK6UZWktvJ4ejulh39prf9FmsFxY+juElaFptpLetj/QtP8s7OzNpLIQx3Q1zpIcjrdEE0tfZGNI09Foy3sjd7shbK60J8vb6v2euxizs7UOgqFxH//pqMAAB//aWoWGMyIqrAMYiIO6cmJBtYZL/+2DEC4IPSaUnTIxV4dIy5N2RirwkGyFBAcSSllI7KtTppjl6ZPA+5BbU8/1Lh/iEDCQgkxIhDAadUkRIWebWfLtlnDz+R/iZlEhHW2k/LvdPOlwmOZHMyKIZw0WE95R5lrszrZ5P2JR1/++/t+c6s4O8yKJ/93rC9/tJECcU3wAaYDxsoGZezUogHu00ExxQAHgCxsldJXjxLGBws1J39j3Fhn9lWPeAJhhwouQ3QN20zbEl3y0+dO32znyW9ZXnl/GznSpryzTMiQ6TzLKRLc7b8emVtzk+f//0//Ns1uyWd31YELtCPo02t64QAAlt7ZIwbuQ1pUEr5h5GD3LwLgTciIP/+2DEDAGPlaMlTLBSYduy5KmRirxnRIEAzRJ2ebqmO0gtwW5fSRV4vZSdFRJJ1JjeZx5wrijClqVaPntVxdG9PRmoktl6I7ObOjKSnohyHZaorWjeEI6OaVKIhF95FK37d0b2TffXtl2UiGMRKedLIJsIp7rXG3U8qQBZIiIsy1Cbotcbih16oDzDrCEi1y/CEQ5mULHebomg/ZdhAWzifdqS0yRj7w8/uGxEeiKPciGsW/3hQ/4f7/Ln57H+c/aFnYT8KyzJGObrgjmdzbUZdtO5pdafHWla/6L9/9v6668iUV1q2wQ4Oh8N/Z2oNXaKQCtta3EBURryQcxMkACwU47EmnD/+2DECgAQfZsi7WRF4f0zpPWTDow1JgEjSpfUVQPKdg0Mr7TdaW1MHNrEzfSGJtH93Iq/2+iSiBQUyCQihgRCEY8qu+ual6EvZq/R79mboRwaO0p6OyM1CF0Z3pKeyXVdSvK96LPo9lId963Rtdk/331tzoz03dignMAehftiSkTKNng6IAAAAl/9rKxS4QOg5YH7G6ecqYk8I6DDIIg06yQg4CRYd+G4LmjKI6NbBMJTMYL1ceLRn9VcIEslJGyxL0O7xdEp/lHuc7C0ne/c5U8kKJJOUmiTsUqsLPMftzIvNT+vPuXzy4YbOnD7zL/7Oz//L+/ryzmRMR2HXpAzT//6iFX/+3DEAAARRYshrQxV6hKz5GmRiuwQAAAAC7WNskqgDeDOrQGRC6EwJkevmLXmePlsIsYA8RfQhnPLDlrVoLLa+iJLGtwHUCoCHJDTfwjOiXNmRABzMwbublsfMrYZdPmbX7y8LbW9TIs4eZmyrO9ig5/DlH9jfSD5Jq05PV6rodVd/06zs/t/sWVlaylBrOLpneG+v9DFuf6fU4DNVWuQAAT21sbRkTmFQONDqZ1RnIGGtmsWabAoGjCZDR3IDR0BsQQqgAIBKwEzIrfr1yQN33msXvz+rLr9wYarRah22KURz5l1vJXzPR8lWWnD7lBFNtjQjKGhAmYp07ZZKsrUWiUuds7Pprd0bv9P6/te1ad32dd5nphRgpQAQyO+VlT7hRZNACrdY2yaCWDUpgA4NLCBCEpSLWIY//tgxAqBEMGPIO0MVen6s+RpoIs0AMTmHAM4MIkNkuL3Por8iGNLTVJjqUEJa5JLQgCUkCyu16dGYTVjYNqRGSf706WWq5Znul/OMny9mppGSl3i3/uaNM1QQa2F6kVJUsi1kTXzuahnrRm9WZ+kv/2+lld2Z4w2+ka9nf6/ocuJG+4Hc70wAfa2OIwSsElQacM0NNCAK4RFPMiTAiQeIAEAKHDQIEzMVmCQN31NksVaYpUrS1H/4tGOd5+vvdo86XuUc7cUbQUSePKmPrIdFx2rBkYkSQBtDQVYSwoDaolDLsRDlCfU5QP5h7zn2M1229Euqto6t6rIrI5gqdlcZTgZdJxS//twxAAAD2GdJ6ygVKIUs2RdoYq8DAAAAj/+1saKhqtAEM3VRiAWsHtjALAK5ctVIVQBTAsbHW+UEgRIa25tFI5msvWhbVleOh+jBcxYD41T9LmJXXWZy+1il6ed7I+tjaLMh7cMTKjnKhivJVzIk6Pc6GV3nSZfdamPZf/6aSfqj2as3u7EI2SrMCFF2//pACtta5EYCMUMhI4JBDSKBUEDpwwyMEiQQF+ACgASkeSu0tVBO6zGCIM6stoaWJoZSqRQx3GDuJALiRJhlda4Z7nGJbM84T9zMu+hndIhyOiW5FNl8u7ZEazmfezoy5jEEZoSme/KtOr6t+7Wm1s6L/ey5HatNkaVjEMOcSETNWu3oGFzNNU0AAAArf2yRkL40Tc6qMOdAkEacgTzMoQLFNWRgXBuuhZImf/7YMQRgBBFnyWtYGXiJDQkNayMvNKJNedVA6Hb0VlU4gXDsmjfPEo4tWTN8M9IzLMPflSrLpc55f5Tj5kyP1+kzFCjH56nSJwegLpncviFE42tefsPy+XKXc87/w//uf/qk+2R+W5Njr9rAj3DCP9eiy7HDAAAAA3aRtkiXm0RAaMMxAdiOusDvzKlM44mmEiwLYbmLUnFUpBgKWKWqRUA3JqffYvI/Ujqf5iSYWMDNEgHHOBqgOa5miQ7adnkWX/fu0pZFFnI+3bp/GPhev2FZoZdKVC5lkmedIvpF5d+FynD/b//55uSRaVmXGJrxapYZShfbIE1n7hZYHQqQAbtbHEYcv/7cMQDgE/Q8SLsvG6iD7KkaZeOFIwggiMBUuqe9xEsFqAVuPMMFEMhrLhy7gKrFpltimhIGHaHMJmiloSsQf4PBhDjmeaAvjHfK+Ufl79hZd8js77HfP455DIw9y1Z2Ga+WFQxkKjAUOQ0YLOm0kRMKCHBJqNc8/UmWVCZZBk6oFQsDbefcyfHIbVesgAAntqI/yXMyjzRONq0x+FJBzYuIWbRxJZB6UWjf9VESFYs/40JT5xVYiBMSFGOzfdZMO1PRFGHQzSO5UtuEZkXT4ZJp52EWnG9JmTxJH7S6cIXnw2pGrqaob9OQ/Iu+RGXcrbmUhFl9Xy379T/z/7NamRbJDyPMOyQi04rpwnvOnKCtVAAAAG9/tJUBHwdMcrByPA2ExpKgURJoiEBPcqsGIMNBVWEIlskYkr/+2DEFAAOuaUnrIRZofWfpLWXjZzRa7EcpcsplLeQL/O8q4U2O/x53G7t2Mm3mdLcnKJtRwKMJEojXRZ8KRAJWggztMiMEnZ6U/OqmnBEOpfNZvf/XTu/Y/O5jcrsdQn/rFwgAAAIt9rJEYFBuxGIKaY4GbPCRWAGMByIEBU3JIDCeWGiAn4BQ9EEX1q0N+bobYdwvxjfRMajH4ZlACeaViqEs+nlSuXv+5lIX5Q7yEecLLIkY9roZQ9l4fwnUPA8JBVRgaXkxzB1/Xp9bd9p0uJggG2hhhVrrPrtIDRplCowAAABP7WxtCCsYM+apMLADHCDhIigiPDjCggw05oUUAhElhH/+2DEEgAQmNcjrSRUYhy0pCmRir30hCyYsCLsEQOBsYlt6EvGRvI4uuzcgeu7GF9qQetLlRWbuUis7WfnPVWfpkq6Vumdlyuj3cOFQwYeDJtpdzFMOCFUaLmh9VvN9eLqypkMgAgNCBRAfjAvMG1SljJ9rsckwAAVdpG2TBgOpk76zCBN5o8nBa0LUmciLUF0TCwEAw1jKUHwsEoSqUiPe69KJRJ1a2GQPD39FAZCAJx3LBqcEgzhGZG2d0V3MTsXCnz+0v3y3v59hW3QjPKFaub7v0n5TfIzWbH+aIbISyt0+5UPr7//qjP8stqslaGUTt/m1OGcu52Hea5JQCbrY20Dkzn/+3DEBAAQYaUg7IxV4f4gZGmkjlQwEQximGjMMmC3gIaNlYFJqjMKwcHK2mtJICIMtyYoZQNL7E3i3VCSu9+IrngMKOgLFh1IEF3hKeabc5m8y3yk4dLSn2dI/YEehl/xJNtLp5UvOPaZqdhlv71Fqd7761Tn9Pr/t7qh3+Yx8gI9yqxXHpjI9JJ7YlKmDo0wAAD9rZGgbBZ+XNM4dMimA1oScBA4xxNDgXWCiAcRkwCVqvLJIjF02gZ/K67oIIgMCd/ybotNYhSrzRlXuG6dueSFfyp5feQv8r8iJPf08yo6CjImSarbpmpE1Z4y4miYBmRkKjDouyyxNv/bGzwiCoeSBjJd4RkPYg4KIcbUtSAAAM2kbaMo7BLsaEGTGmMDBJ4pAEUIFeMAcGBEEw5mveEJmgJkECIk//tgxBSBEGmbIU1kReH9MuRNlIpMDStLuxlIiUN+4clHMwx4wzpK1jOufMMtFLUi7TfZZ/Lacv3da5LkUyFU01iqrJRqFcjM8pDFORGrtftNrTp079f+2qLZXO53XO6FQpgoPGnZ1M8YXkzQMGRzXdrY4Rpwz2iJoAAGIuN7FGIAGFXQ5ZagVgGFxJuAE6hJZYUeYGjZD8oyelLwWFZHunpIos07pcMCoGQ1LNP92ZDHqRLWqKI90eh920RXnc9lO5EUFdXRTiG1TpyMbaRKGqiqZURFnTR/alm/9Nd7L2u6IVoxUYG92Nq1i44i8UV7a1uIq1GywHGr3NGsmvGuTBEBDwYg//tgxAsBD3mRImykUmIZM6Q1oYr0s4AwSAmrgNE0OQBxbxLFgW1l7gLjFQoKXzbmWheMyuqg2auxKLTs/LlSjW1R11y2LB8hmsplaXXWxLFZpm2edCkRSc620OVqUZVWltSboy/P/s+6oNORnYIQVWTNiupGLtVioFUsUABXaRtkdiCikzKo0oowqMDFQ6CQnwClMCFT6BKghPCSKQCEAYkSwwFMkD4R9PZdZFF0X/j+uVLe705fcg2CQH8du13I00yJVWmU/P/JuwvzvnZDzhFe8LhNC0IfiXacrpWy6c4V/jsrvW27f+x0/13tW72NyNuh84pIQbaIGudi8eSKmp4gAAFb//twxAIBUHkJIU1kZeIUtKQdrJS9rG2THlibSYcmZYiZwacIiRYAAAwmkPkDRWgK6LumhwMEECQhZoWbg7dXbCUZmlQ5Md8KjCxZIQ1rDGfOHELOkSSf5Zn0tWbQkP7SQjhZ/8Iy6SU/JJQcY/VTUFVkwIINWaJhRa9bS+sKYYb7NiVFCQhCE2oSi2k73CQ+wWFQVk0FtqZtiY5kIihiwQcNOcfGpAKUZp4caoKWJDDqKDINIAiAkOKHrShZ7MsaZgCM7IYfof6LFZHlceowRCjDLyTqttbUSMLnyFu12tOVHXI7lbZq/SqKqnZ0nciGW4shzaERyNehd9p5k9/q76v/T8lnX1VHuinqogcW50fe92DFydsUaBtMMAAA66RtkdjmFSmWYmaGGTMGwVjzRm54ILmHjlXxrP/7YMQPgRAoWyFNYGXqAbOkKZMKjQT50IxgUVOalvE9uq22+TAZlLKbXiBZiRBrdhYgMJCLft3VqPixf+Wr+a3Wa1C3cl6fpXeycmwmK9TmMGbZ1gA8qYkd9o3vtrf+b+/4//f8llps3ECoDJrX759yP2qCu7t/BIFdrG2BAmYsJVMAKYN6C2YkCDrAj8ach4RsGeiVtO8W4BTJjCmaOlw5vbmKwK3mqxeW98nDJk5zvGWLmTPKINnK+3U5XIndznX3sb9js0k/CuRTEWlHcyKa86HUrH8+7Z8r6399dd0S3/vydJU5dHPZnFQh//+7ftz3GC0zmIrdMAAA26xtkxjjXyNlcP/7YMQGgRANByFMvHBh57KkTZGKvCDGtMcuNsKmE2gJHSBEKhm4okx9AOHVJNj0w8w5uUsgsgjpMFQtfYZSgQy0oZQbEn7y5IXw8miFHL693Or/98p/kcpJT4XSppsUzvS4R9KQcXUCZAiYKoF2ui9SpFBzp7TDsg8wFwuDCdsB55ZcpQLmwXPHfWuQmN0TJC0DZpQfr6/xGOJNDpSdoycYdafcYRwJlCEYCADxMHbr3XzUUa3F5N/BJmS6mLNwQQcWlz+6TyyJ+/5efrFT/Pp+jPFzJ+u/K/SusIveOhmj2E5+uip8I83W9Hv9f6bm//6eml3YyghrQV5uycVWogyMY5UwAP/7cMQBAQ+Y7SNM4GXiCCNkKZwMvQDttY2grcaz4a+bJBsin2mUGTxBSQAFB8UYAYj45hKMIWv0JJFZDnzNeKlbLIckX+LmZkRoWHBFnwof/mfFLK8WLnXhd6Z5oRmv8iszQ5Tiw/TpG+GPNi8JiYmNZPKSxLmkLtMZ6x9hsYeEiBUGVhI+Az1OtO8Uqe4mZIAN2kbaMMs7FGqm0GQsm6eReIWG0g2KkMTgcYp1AKBoAQASxYrDFcqk0shXC/37kPOhLoh9yDk6y/7llIVO9zfvGPh5/mnOcOkZZFtbFO0zKP1HvS8qZ6kSFDMyu4wL6+819dtbWv9Tfed6/yPNIEYhBWVo4cL3e9v6ZX/5qK5DnRkwAABbpG2QDyIFCxICvzYtMYMajEIZnFiTgsIZBhk0CzUULfDqLtH/+2DEE4EPwZshTIRZqeOgpF2RDqg2w9FO36bF72DKefij/6vct48ufhnhq7uvqkEsJ0ckdTavBBmvGscxUU3lFTC79GREdiAI5FhC2+jnttd3+3/26q2tLrY7szWMFL0C93fda21omuWO2r1Af///sxaTJjMg0RIFh8JdGm1imOQXTbkDAjNsgC0gFC4QYAx5M6iv51WYqqttD9j/fc15yODYxTtpLZqNmblr6uqtTdbZaPKn8s92zWoS5sTKbJHM94KNiyQsC4qBjkdYCbaF5Vv1alRqgEJAiWBI4qZ3oVUOQqTWkAAAXaxtowR0IrmFJDAkaRBJEmqFRgAmh2AoCCI2ZCL/+2DEEAEQaZkhTWRF4h4zY+msiL1yCwuABjV7BFr4SC/M3FFEnmcu5X7wQdWayBqhAwIlVZTO+8hne+y+9VPNrtnefk0SzEI79Cu6J1KjGKjI7nJzM5capXfZdNE6daunr7M2+T6uspgs1xgmDkgtz1mV1BZDXJrIAFtkSZMNGMzCCy8WTmAWBIke6QfHXjEFGBAMcHnFclAIhwipX5jDhxECSLlpt1F1pO/JMOgZquxWKYMOCJIjs6P7Z2sln0oerJq9N9VzJqS5lG2eY6lWZWoU887qU1jtXYtnSwJFmWVm9r+Vqf82joj3rRAriLbQKAP7tTbh0wK9pozcLWwGMAAB7a3/+3DEAoEQeZkjTOBn4e60JCmQizSOIL/Do5uPD4pnPEwJFElSO1GjMVDDHepF2HiwAmwW9GnosPxamrrIXEaLDlD/yq9h2/05HtCpcyfOnkXPzSfJDyvDQz+6ac6TF4XpcKE/eHWOVn0HMol0W0umWZd851iLIkzPv5X83Iv//8oZEdykziFnUgahMRtb1osLyvesgA3aRtkRBHY2dK4lUYrQZsRVDgQo0EEI3hgRr6rVgkdDDn2LAIpfjsW8LChjBl8P/Qf8hz/l7+fzmrn5jSt+F9fz9mK87g4oBsJZBkjCdoLJwBHTokioZCYDJS21Q1iy1XOM77L//eZnpIio7oqHcjHDt78gomNGtyaRlTQQAAALtY2yKKTbPDCQDeBDKjDhhCbtY4NVL/oVtyNG0eLdARAAYQQg//tgxBSBEF2jIa1kReIJM+QprAy8AIjF9OUNRt1MVpv5M4eLed9GzhHZ2zJX2NoVWVaWqqu9L7I/pk6VM1JXV1a7IiqZjmuzGvQuelX0pWn7u1M2ujf/dkQqZWYzIWhjIyoqjl5tih95iE3vEI4uQAbda20ZGKnmRChlCiKcEgTTRBMTlpL1V4bTk89FwxCVWEiajVAF6vTrRYUuR25Vn4SqZaIRksIrcsjld8rBtJd/0RbPORFlMgUK7r1l//Oc9jLp3Y9KuZ2RF6SUrZPPzvJl///9/OnPzyK6ZPqzMseEdhGaZOFBVt5zrLNQJU0HyKpAC20jbQItNfFCkKqGRSb7xEEl//twxAmBEFmhIOyYdGIFs2QpkwqMoZo5flGlcJlkFGUMoKDJQhBCA0coxYuZqKMPXe7FL/kdpDInR+0x8U/InysI/TknJP/myZZK5n1jnn3NjOrZ3St6pL5SXfRofv815j+Z/8/mVy/5zz//yO2UwpHHYk6xWGgREraAz9nMGGKGiqqVrEwO2lbaOJYx1gN0POGTiIoBYYMKAzg0UrVDJn2DQ0YQjAhK8iZNd0xIKlhm7QGmOHPf471d+v5lM3aIr92QlX0Z02Qr7I193jqh8xSMzMRK7KVbXQ+dyHHa6HMR5teukjW0St9fT7NX8lc5JGUx589kLgkMOQ4DHtgUcaPvoJF3ilUSAABbrG2Ta4MmQ1iQjMxTzsalowSJNoGKXLrNXBakjJgAUkXwF4HJI0XkFdJcbZfHH//7YMQZAU/g+yFMvG6h+7HkNawUvMRbz3PgiPPPz/M9yOFEvkVO0jb2mflPmRcyP09Gv5I71JnbVVRJQ22JwVLvKqE7qFjLqUpb2X2k1PBAWLBYIg8fDmscsDw8pjmw+oJrDEAdupjlgIRjKAFWCJYcQkRhMCCiJfdThU57sPkgkaETdWOPZVgzk0rzUUZ6yV96P/AMGOVWdhzHQQt+mrKdr20qqVO9FSrmVFIcllyInpI6NKemdqK0805Wo8Q93MilVjt1Ztd9Ldf/931Zm5GRDDmBlZUGLvJquFmH2mRQNjEAAd2sbZTOE4TXxMccxhD2KJiFAhI4dCS9Y2JZlbEFF6RJ9f/7YMQSAQ/JmyFMjFeiELRj3ayIuWNp7WIvIb0y09gDEn0nNbhrDC3zNIZ2kNk7lckcun95PZ+7N0ocKDeX2HeIc259jz6zz+Wn/euLXhlxJlfNOyUu0iven1/+nZL2XbKudaiCxC6rG1IZSHpgmlQbba3M0MkyTAEGgaQMqoMUAHoBkMHMl8S+Zak26RaGFlpgUwTCh1TrO/JpRQKUrHUxfeR78S1tkIxxi3crFMlZZ7KVtvbITat0lTOKW6p3tpS6VKz9UV1dnunIik2d1bIqr2VWdHf76IRtNv2Rquzks8qSKVVaYQX/dq6zp1PvQ/sEqtVxAABdrW2jC3TUqQIdM45AK//7cMQIgRC5nyFNDFXqJTRj6ayMvIMTCRhswGHIE2JAACY1fAMRLmlk3KYQl00+itTSij2LyfSx/iz/23Yh7uhfvDk6s4T2STlIz3yKm0bhfkSVlhev2l1coERc8jJXY8zIMedzTSERoxkV///9f/pMjSKcyFMpRaHNUpUEakN10p7T/n5+gPoELIQFtkbZEYc0J8wBQrUmSKBIoakTeMYUrABQAELMukebZ4IRBQhBYWpZcxOzbgll7hKyvvT62EubHFQqAhrZbLDLhFOkt9z5lCPcyhnn+3OrSKETJTOwjp3CZ71Zc3TxBIprLvxa5bRSayv5e/Lz/b/zz/P7zL1V4xLI5d62Ek/VcibLhgiQEqIQQANttbkSsgKuM2DM8MCwsHmh6rKwCpe6qhK0HLK/x8kSFEl2RQb/+2DEEwMPVFce7WBFwdyiZA2sDLz7K75LbKlKnawDsTG/L2uquDQOJdEqTcu2aDoNyDBVrWC88LhUuJEDGVLJw4wIKGCiLwyeclRMeraMGO1i39MQyJNTCigKLksTvQNYLUFhpQSgMUCIt0jbJiIBgQQ84ASMzJ0OpDzX1ECWfI5AFJhcTifkgEYRJ/iW1eM7v1YknY2Bc8NzPfFc/LhG7lGy8vkbRDMqRdhmf/f5P58+Et7CuZU5afI1vbVqudninJnsUQwXFTwJSp1vTfTu1baxjVOLIBR24ufpvhhelyEQoAAALbWxxEjRmPlfoASFYXiJsSQIZGXK+xghgGBf00hPDBX/+2DEEgEP3ZMjrLBwogIypCmRiqRKlAlIuPfXLwblcAhgmmVHZa/3VFtMufC+FM/JC9HM08/sibEeZne1DTkZrYdTFnmM9N/qQ+ywyLyf/57xT5Ni0bzhGpXX//////tJJu6k+isFWJD5ff4pMa8wYgbtY20CUT0MERZvRmwyNmlEDXxw1myPoNHMeZIB/yzhQsl4DlFYXHl9BHWAzq13/mf8D3IiPN4absRmHZlPfujTT9+FnId6z7LZXIq9HTWvo5V6WFUqOkadTOjjZ2Ru5mI/V6//qqeVvzVV0KZEKzuVXHQXELSCOzpLGGJCZIAKAgABXWRtkzPyRYZEMkQgHBfJPFH/+2DECgEPDZ0hTOCl4eUc5B2cFLyUcUxBKUqJM6B8FKW3CKKHkQGHv3J7MoUSdpij+U3+Azzv2nOTpdS10+v7u9691Wd6MuirPVy1sbJkMzVQjzyFLQrERotpWjvuukmm62b9rf+tf65rqV2VFHQONrqQLyjSrzHCqAu0rcJlSm7KZCZNIZ5B5DlAWQBU7vpXhRoKWVygIOABjp1kyxY8PyKVzTW3BX8/9L/grM+ro1llQrE0R3Rujbv609t2OW64y1zmSRrKyrUm5BjGg/Bgq2BaOGltPCw14xRnUIPa2l1JUMGyIUEYuYulr7ZUIhtVLkWDAAB9ttszQLAb4NQMs8RbGov/+3DECQEQxZsfTIR4yfo0pCmRiryPWl6jCIvugYDJhyixr7jxYMARwImhIfJ784bWFgJXLkS7/t//P+x29hWrUN7TrD20sHf9btIjcg0WBmBHbTgx2QZmsRYabnD2ylThlpVOfDP+HrMz8tPLUtZ/5f5T4dk0M1jl14oKgE01xyxjhX379ie0tREBu1rbIgyAMwrGYzBrOGKe1Eqjll3lT4ECYXlduiQhJAWkJmr3wg+UXVHpew5/6LnhM+mWZYMt0O8cvNULLsv/ChEZnyJnCIp0mGrmwPp5S+efM3azQ+xJWV+v7E2Xt0a6pVW/r/b+n2stVdKndKOruS6BtjEIqUhJRKhOsLoEQAAAG2yNMmRqCECZggglAQI3o1fRgYWYb6BhnI7so22IIMFSKcm4KrXEhUxGGJva//tgxBiDEI2JH61gReoRNKPNoI7dqq7FHl4CiulyqQEEDGXVqe8noi7vp7srT3uVWRZahzJRGYyMWU4Ox1Khd0Oh7W1Tt1oqdme/T3Szkkf/3ZVrSZVkGmwaZSsv99F9a2ec4NPR7RSO2yNsj1M1ykz48y4AonnJDiRIElgwPDCfQVLykiXPSWRAw1QFCePBWmQqX1lhX6W07c5z4G/eOOwDEE3jMOnCTz9RczkulKVsr51dJ96TWrJI5zpbqnDyppLnKUusfMz2+XKf9vnP6fp///C17aVPhs9DMRLHSOYdDvZIV3a3/Vx96iU9UArbI2ybM55RAwA5hzAJA7aNZUDGjGiu//twxAwBUKWbHuyEdyoQs2PpoYq9oMqkChM88gJEDlm4iTRESpZI4/E07JKo+4Ev/4pu5+XRgtTSJJPkoAdQG/IkoLLgPltprbqBDgKuaxFQiR2JBvFMdRnPjKSyE+xsh3Ip8/i/3PPL///5efVyypG/4dYJEJ/mvbh+m5OKz4e7k5kBtsAr8OFAJ8EizNL2thxNGgoLuUmqMEyooaFGhAJJiiaRAEUtWJfkNVicOLwcOUZaA8kyEGHuIWmRKfOT/TKlf8rbP/PI8lyMvW9l0+LFi06Raw5iWNLSV8yMnu5QuPTHRS0Z3P9X/QzatX+SrOY165JAgzAyk33x9Byn91frc+YzRdUCAAFbZG2RHBNOxMMBABYwq8igjQMGjB4bDDriAqVUSJDplUUED3wBQxz1NMKCPMNgdf/7YMQZARE5nR9NFHVqCrPkKZwMvM7gU/OAMpylO8UZVGOrb2a7aJsit0nkvmqxd+NbexFr/SDWzq7Jkse3qEb1oEC6X/Y3nxy5zOkX55/5v//+TeVV6f2daGlpI6kOBGfa3NX9EHCToJp2XkBIBdrG2jDaMMo0zCRsWfF5SYQXKhVdWMMTJQDVKQVKXIYXSoXM4oo1WWxea46dTnifM4cothELem3kn6ZnC/8vM8p1Czu55HYfZwiyU+rIqEgNdTnY5VfrdqBTsJ1ybzXbh/0yP/+FUl+/+f23XLIzTL3jOzWhAq9KCbblAkqqJyTBqhMAANtkbZMbSBKQyBcITGSJB4ENcP/7cMQKgVE1pR9NYKXp+Tgj6ZCO5WJLQuGsIM7RdK4PsDECMcbFnh0mWSGu+qw8oaG6FDl0HbYooYXEFnudLPWm1md1f9yIhKlKllTI7vMemZ1IQ1HfMU6isVK72nUkhiMrrkefdmc22f907LJZP/sjFV2u6O51QyKqHRbDH/X0c+fzg2fP6E6MgJAZbAS8QQgxgjMNxQO1GliFICgMMaCCWRR8vy9IFDGQGIM7S+fSEQzYZzE2gunW/5RvLn92RGcgkgRv9KC8D0qzb9ZIrgvG+XiLSRuyRm3i2tFVndpI19bI8zhnfPpfp91L0/59y/5TL2/gKs0FWtYZL//5+fgyJHQ23uNNGQIAAdukTZRHPYkwTx7I22BoMWTBo4EDfdOsErgyNrcEAoAuTWCCU5KSEZvsrNHGDOj/+2DEGIEQjZ0fTIxXqf264+mQiu1S85DNr+d1DToLpe1L7sbminlM/7DLORCNaZc2dOqjt8L+ZIbJ9tYaE3SHqbwmOuUr3y3OvkSy669yt7f2verTJSa6F1QIw6s3f5357N5t74q/OAQgJbI2yCfTUkMawFiGvATxIloSQaI15d46mYCJEdGg4cIGctHkHAS58olE2RzLDXjpsvta3/N4WhIEMY1zXWW5om9Ec5+ZtcVExBMjOEqRsyktITY63JBXCXSmhXpbdKNrT9asl/v3IiVWzdtyBTm1VSpq/VXTozNdEQ4IGwvtQALbI2wYKSasmOhR1OClgZ6ViJAChU1U6QpEoaP/+2DEDoEP4SUe7WBl4fqz5GmQjuTicErERJYKUCL8Ou+UxDLk1lpOhS/4j/M/45lMnl1/uRexf8KFmU8i0Ns4dWnRsuz8y48LZNPkhKLIKx2RM+FCH5dMVrLA+CiEqXT/7ryQaJw2kmUbtU4g4FT594XIig4LEyMFr7JIgzQyTxYAxajCTBWyNRbdApb0OgwUACFAcOIjJBw8pU1x75NQyhn1tusB2v+v3XcuJMYQeflmMiIxTuw945Kvo2WRVUj29RKu4Kn6VfhTqaHw6scjIgczIip/nmqzzPvOUv5Pz/Is/2PsPWnkJHcwjczyKnmZ9IleEFIQBtsjaJ0VEMhROPSm/Wb/+2DEB4EPyZ8e7Iy0agI6482QiuUIzfhQEZFTAZMDDzEgdeRgoVAYtIHCRpPuDonTNzkzGHgvd8MVInYmkF07qq8jX2szLS7Xz9l3O6vPVa7mVXVp3V393Fz5KXWrXITRyVUpjdWe3/W36f99jM603qnGFkYhCgzGu+2s7D71emsTvKIVtkbZAGhglDVIG/Mss1AKUcCHBEl1DiQ8wGkLIDLLIJ2srdTiT7kOobcWRMzgO//yHv8z1mwhojGQ48yhkumuhEbay+zFcCAslY7ESMZWSxUUzOBTVIvY6Y7GKex5kTdrVsevVvLb/mSqUNRSoY6mU7nKcHzmLX21a699eNbAaJr/+3DEAAEQAaEfTOCl6gW8I52sCL0CAADLZEmTNmNSMOCB2ASqD8E6RJZKNL5YghaAAB1IIChUOiwYsdPJCuihjFmUtZQ+ljng6M6F9HqkdyK7PfTtcy9k0Pa6EQtyxioXWjbN7HVlfq9GOYjzxXrIiNWjujLVXb7tVP6v9ffSbkOVDFQ7W0YgoT+bFvjtfthr6M9UCFBLW0mTEtw8gSkTAhRo6HjFmjCwsYaTBIJeAkk3bQywRDWUUGXugPsTT6MriDE3Dt92EbZ7s9VRNnebShHalybatvLrlu0k7ZF2+zmMq1Vsjqd1GbUrGa+qwu7p3dTG6tWTXZ1d/0XJyvJpKoynK9SnRgxwVvdcpyJ2U9TsV3eJRFVACtsjbIWjiM4VDBhThpyRMpXQgwBQkR1djJzNcvjAJVSg//tgxBEBUOHJHu1gRenjGyQpkIrkGTEQJNZRzzl/XFibaPph/gJ0YUIL0VEO8hKN1ypstPsp2OdUVWmdXnRVq7Ml1xSVe6TKOoJ3rwbETwqnxBynRndzvOX9K2omr//QzXoxXdVJIoGUqECQphL2ku1X5bYRolUm/OYDBbagg862QQOZCYVoU3LeCwwGATA4MAmMvAcBDACQLhiQq5WJz8zJWqSh833r/2RZc/m2JJixMSPgyd+caABqq9Tq5RBm7weRCYgHQrJuEYIjyhgYceMDY/GB0mifevsZVoqpUtYhKgAVExwNDULoVxGKmDwxwia9kAbbI0yHIGKuKlFGZyLC4b+i//tgxAkBD2GfHuzgReHlM2QdkIr8BoGWlK0ALFODRo0vC4ygSp061VWJyOd9rddtXYoO8ENZXaLZl2zql9uqIzkZeVLbdnm3XuqJWcgvVTT2IpVZXDoc6GIt72OshV/sjd0Q9P1/QmndHzNOZtVKaR9g9FSJFJ2sog7NqJeQUVusbZHMgvIATziWRtKWnZLyIUILVkPSZkeSflCQkAxQaOVRgOD6CJPztyn3u/yv/55cNgkuf/zrGmRlJEaUyQzeRo5kTOJSHNkwNMqJATab6hMYWRSOU4yKE8nyy/qUX/eieQjoWjzknVzAi6TWXuvCxccMBhQUUhUSAAFbpG2TCwF9meFG//twxAaBULWZH01gZeHonmPpkI7lXJmxGk15XJlAi2TNZ0XPOShp7+F00f2wL4UXqvnEs1OpprL6XObDJmM6EFJTSfX6uXM+NkZ8nkXP4rfDP5JlVhISklZmctjJyzZRJIlNUI02ekmZTuxWkfOd/5/+cjWSf/+xn5Kf9RqTUl8KQuCyjx+hPYbE+gcogQgbbDLJOqM9zx0oRjkQ0HEposKEH2i25mNO+/Y0AjwpcTMKova59d9WVzLcnTx72zzvN4Gg4VvXXEf/qbb7GXRPYTTuUhcpeJzpdx5iYLIBtIweSzYHA1lFZ/hcnv/q/an//+aEFcfR0o7k74EA5+Gf7Y3z73VdCu6tAgABW6Rtkl5ORJWA0BzwZIoGiGEEGHFnEqUfzKWQomyYJJ1gKwrG1+NngmYkNRsLof/7YMQYgRCx5R9MhHciArwj6ZWKDZf8j7zHWIozGTM399DRNsJEb7vKDAeFzdCZAczkKubT6SoC2alDJgTT3MgcNiPXqLb5/kif5/5m0tL///+lJTfU/lzDkXM+pZr8z35l6o+f60yI3GAwV1kaZCmJvjJDG+cStlLMUAqwQKhxUXcEBIBxkGIGo3KGjybcUuHzRD0CxOBQM1uQARQo7TRL3o0jq3LNblZEsyu8qPXo9UUlUdWaqE52UpanJYadE2XWpFd25ujTHV2r0sn+Wxv+93WjSscrFdnPI9iHJG2b27unTW7rSU4m86oQBlsiSBkVnjaahYdwD5g+1fI6mWSMcBTMSP/7YMQNAQ/1xRzshFfp+LPj9ZwIvJAzI0zHS2xcVTIIGbqHAOdBj7s/dlpboWv+lx/+8kOPwhRIi4T6Jx5fsFw5QRG0KcBEBE53TAY6KjKPSaGm5kEMmZRlM2oJzhIv37/6fVFc7tPyo8xCOiLlrdkQ7UcNHq70Iw+oYAIALrI2yalyXxjnGW+FKAjVIsHgLmh2XUEomqpdmZL+oXKoF6JahRPR6WzjxOw8dn/HfS3CumSzKRmb6I8ltuvcrdd6pZkMRUyIWzSdlOhnQg6w6mKVwSXnZYq+iGdFXpsr67O2kF9Hvu25PMjulzBWWotwxqsnpUJ3tYtgalALXWNsmAkEp4EFwv/7YMQGAQ6tnyDtYEXiATNkKZGKvcYNMQZC4wVEgKGnrwQpNE6d2kbkmH1IgxZKzteGIagOH4Av/4hjoVFUqMHP19Xut//T3tdLf5mdluai9HJKxXSxkdnLOLclJmMlJdEboS+xv/5rMv92fWmZ2XNbc8t3HH+ZpGAZ9zGhUxQgrtbG0DGDCnMCQHWobD1bBhCKXNLaKLPWZQ6B02jql2reu9dylmEG35LDkggO9/vchRHmVO3O/5l/w/88+ZsZz9jnaTHNxSlTjhmThgmBSyt3IRS9zawyrm+HRXnrncY27c1s3N1eVvt3TWYiZ816EMzh8YF/y3+6tE/Zle3d5QIAAd2sbv/7cMQDAQ7I/yFMhHciAjQj3ZCO5RJQTqPMM0SqB7ROcjUUChcAlBXknmTKkyT2JTLEnR4NkSuKLGG52FT0Ad/638z5fXAL7ZzUhS9TNutHznVcgVkUjhpS3tklO6zBmlWrQTTysVCxgeL2jXl3UrQsb5VL81NpB8FTajBlyuYxbeGAKidQUlkbaHNTAYMBg9CRogTOamSgDA5ZaUDxRnECRdRGdLdck8qgxCDoIwhpyYy8eHPs2P1+vMy2R/5U+ExUw/Ls98ydCSk5EXWE3K1ztosV4VrkR03rk7xCLuCIrv03r/S+3KlzLX8/at9bleooA7ykbEHEmqqOf+fuwo/LO3RE5m0iAAFdrI4TK5FzwKCc4pxLlxkE4XFGBBY1uKVxiJS9/05FDoklCl5DkIoJRK3qiUAb/6P/+2DEGYEPtQMhTIR3Ido0o6mcCL3v8tbmj3I6QAGj7THboVmS4IBVNZmYTnyyawY0xyKJZBzmgM3IcoYE8fF5wiNUESJKVeF5uSPd9bGyZJYLwMEQi0GOPS9VDbsaNMgYCWtpIqAHHGGMhbA0dzCEVTMywLMbWluo4auFrMkA6Ely0zS6lM2aV1YqzN9Xj1/k4zltIiutU7077mViff09V0Zaa0bqj9GDo15rqbKpDVdb7rdaf3Zd9P91sv//rXkI7IyEs5GMCQ4Yfe1V/pPRc0EwJ/oSKhAK22Nsmr4IkgVMDGw1cHeMAGTAIYBhHhTAAwgkZHErERnpX8lRC3yguSx52IL/+2DEFwEQWdUe7IxV6eGII+mcPJygir/iROjkfGyvIXlwyU+al97VOoz2/+tvreX2iRwR8WZ1SJ5EaoV0baajQ14iNv59qqZttfb2d9FemvTfs2tauQ6WCqRmIrGtZOie5WW50QeJWf48CFW2Rtg1chG0CmSbI1iA9hSgChApyEb+F0AUEObERGwsVgGMUQ80DNCV7SvouT+MOEwOEwgx8SvFCIlsC3NPaPGti0RKtGCM0kBgoWC5N88TBUgdCAUpBgTDAiZGb7VqQObb6NGwkNNvIoNEYomxqFnQIOY9gOPJ1RIQAV2tbZNEI0mQSIC3AkwWshIEFLQFto8yACHo+0y3Uz3/+2DEEQGO2YkhTKRQoeU85B2Qiv32bExJX8mEBEZEJAMX+xC9ymM9VNnkTf92arGXbe/OmU7B3sbOjMZmMzdOi1aiqZ9dnIc6lMyvKjTufZdej3t/J//br5eodIeDxB4e+vUqOeFhK9BBCNwmjGNojppOWBsoYcVDgHFiStZYwATl0PL2XRDTUGTKThE1Vkj4SuP5f++fhb4jHpxHJGCjdOsrzlM4CUZf73OzKyeFDIiGEtCCMikTJDA2ziM4ptGpCGnEeTIMc1FfWv9Sd0uyVfVaOjAlO3qRGdPTyU2RrOgJpBIAAVusbZEfZjoDCQCIOFYrPQhDhyJAWbi6gRgCiwUZWKz/+2DEEQEOnaMhTIRV4f46I52cCL2OKs5aEl3O24zK33lkc5/ikEDOBOeP/xamJ2pWG9Ji6NwPWsZhC0IhElVM6YkxIynFjBJjYwjTYz6L2t9/0/61ZXtdpTbOR2sZpilB6d2x5dS6UiKWtpIiAs+WQoeDKzmUH1kmBE0XEbEKGjoCahGdtETk7lO1V58v3OwDMWHUgd4+98bMUj7TtFIacrY5Vnea6eq//XNe6vmcyT9jVeqnR3KzO6K9N1MZKUXatzNa9f7rS+06/vusrVdHahTodmmDWYpXSp3raluhUo5R0E6SiCAKEArrI2yCDgamMBGe8cCId8igFiAgEdNZ6W4MIoT/+2DEDoEPtaEe7IxV6dijI+mQjqyDp00VAYPXW5Ka/JbLrjvSCALH+L7B78jDS9SfxWqeX5/5Z/29yLdPhfZodPr3tNu9v5HLchilB89DWXI2aGVXajNp+vXUie/2q+5+U42Wx0RxCAyX3994Ff7en7lOmkBAEClsjbBocEjwCPDQDlhFmhZBCos0YpWwEABGJqH07lfM4kSYKu7U1K5lpMngO3/gowNznKnZiP5vXf5I5VHM3MqmRPRZwzmyziOj66m7Ba6RnIGakaQgTDAwsiePT21zEC38baQlh5xAJGTykL2sL9oYFTEiQgQG2yNsgTRGQHQHOeDx2oKWjgYABBVqihj/+2DEDIFPfP0e7IR1ae+dI92TjkXCBRAuxWTvVBIF0ImsTn4CncmiTsAXv8KkaEYhTPDekvlRyPcN5eQ/c6lCFn/qI1MiSJd9xYMY1i0GmIixDGdDTs6M/v/2/6esv///q1CShUwrgLBiOB2nGag0P/6zfEDSTEyDt0FUTmfEtzgAF4RblS1IwwwhbdVJIxOQeIsJoL3W+pYlq+8jxjHWVkgJvj2DAT9LBsTZnsRl+ehKVkn/9v6U/bP+y9JTIFXljoLf4VQkBlvKaJrCSpEi3aHzS2tG/b+t0///vWe7/sv8pi8c6Et97fxz+88XvuTxJeqeEBAAAD21kbIxaAoB6UUlAWL/+2DECIEPDOUhrLxrIdyZ492QiuUZylCXaLIgJBhCJwPkBVYRvmQyp4WdSptI30cFVxr9DNxMco20OGekJb86RGZ/vz/sv6+XOnzMnJ4/CzOThBg1FhaG1DBdjgdBKo88+KDciObpN0t6tObHGxYaMSYUqPRF7Wtx5ZbzaklsjTBJGcbQXAN2obiAUKXAyWFRhktwgMEKKo+w8po9bLU4kJbavfNyv3GuR//+Zw3TW7Kqcu65Ul5OIuux7SLcI2ay2M7R6c8VaTe9ureYuhhy3c3ov8TyX7n81z/m///9//9sb3tMMw9N0Tp59n36b9eDTj26EwAB26RtkQCm2+ayJ1RmnMP/+2DECIEPtNMfTIR26eki4+mRDqQDggQBKEBpijOmAghAq16RLXcJezrKDrhc+CK2bIbsc7/95qzlanoTAtWvuRzSU5ezkinn9p2z6M5m2RMHTwq+upFm+sGDV9cyxCWnVTU95+9f79pP//9zGu9Y7xT6RAXG9z1vv7N64VcFHzLYEDtsjbAIwpzDMN0E8FjBJkQykMJBFrcQuAFgxYqQscXawhULW1WPnBExcaJWj+P+zYliORTHLrJp0+3uj6b2feG2cLsfbknCe6A80OPHrR2fBVEQoRF2cEqFARkKJFICOF0PZXf/UtKjRgWXFFKQkhHHhTPOO0KFRVEQDtsjbBl4Qoj/+3DEBIEPfRce7RR1IgQy4+mRir2JSZljwGQmZApVkJEQlRZmz8kAK4GicCK+cZdKRMtSAe6V0t1pdLBGX+ecgOtVds2ZevVXRW136zSffZuxOkhnH2rld65n68hqWlUuVTOkWpHKO88E02texCaiIv93rUSMBgcVKrGXOGpjyIhJEzRM68XaJA5bI2yBtgUSYTRjpn6CBw0A6FgMSMYJfIiAERiOdOulxFTrvbRAyD4DmdwJagvH/6iiGc/nIX8Kvt+X3uVL6n5T1Qzj5etjnlrMlh7K+uREeHvUYqA/ToI2e9pEVtdSKxnr1bXvy/rei2XvOR3ZqVFFHUw0j+fu07pijFP1u/YUYA7bI2wKqnU+bqYKaIujVDXsIwjFLJB6EvoSKOxF1MmtvUnkwRCiR0tNQOVZjmX///tgxBgBD/2lHuyMVenpM6QdlApNUg+N5x9vlO2fkxtn5l/OfTyLLuSWdz8gU2GpbmDRzKbEbHfz4RIyViNCYqakRTOb3myIx+9tSIn/bv9GLq0zszsVWIKvtuv/1+FHUatwXjAk21rbIzaKICAA2hQPKoKX6EIoCQAQ08loQjIoZMhgxej0M4ToyhimutxYJ/z6tD5dDURVU99W9FIzeZNVeRE0budOYxrmIO51d1Ju3Y2Mys7Cnoe3oY8r5tV0sjVT+t//0++Z1OtXu4NJ2dA0O6F5zlb818y7qXomR9VyWNJALbguoted6BjUjWJQUgaBtw7mBSAJrxMZRJvS1b6BiqCP//tgxBKBDykHHGyEd2IBtKPdkI7llJEpmywivBG//eO7NJpEMog8/ryM3eSMiUPJqsIDwgWZSNNSRFEEBz3LzK29Mh1EgzS82hBuKtsHbn6puq1hou0RhIsbDzgLc95ggUYZFnkFQCD70HdZG2TIGNNsFWnEoG5iVKF5VGHnAyu+joKhhgNVR983ukyezDKKXzs05dJH9f+Pd5U+KkaNRlSbnnYzLl8nIsmXZWKKsajZc2q6dUjWD7tg6RVwVSPNrV3+n2Ze2uZk///zN//zMsjzKGRcMstIdN6IGOi/7bM59Vz6jMSKZjjCAgACW6RpoZgCAAZMEAVoNOByUHnMbRJxkRaR//tgxA2BEGmjH01gRensoiQpko5skGZrpiy+IQrCrWjdAEHR2pTubL45vvi6ECCn6TZ/svdWms/VGoqVbY9as7Pc1FQOpDItoRkKxjMkrqduuxt5eYzbyTs5kR52/2TzpXu1nnPKxJzKQI6nUlTFI8wT5oOt5qHWmdmd/8mIQm2lchHXBEkajIFiPQZNgiPLmg4EgJjylBKSy60yuFxd7k0oehFLPzrWg4Fk3KRRw5tfQmqqzKS6q11b//qvc/U0jwER752pNEIts5tuG6L170XaDcGQcIB5p4mMFFPrLGEy7eu9TCipE6DgFCoPoaYsrqD6zUmdgMC1HAACXaxtmobokMB///tgxAYBTqUNIUw8aWH4u2PNoI7lhcUDqQqLBAMYxgPwWQaYFJoLZALcYo0jWSjddqKF+vX/Ges7t5anZDT2zPOFdfP9D/lPKSl+ezUqZe5uD/5b2mnxSTQi/550xeG5wBC88dRuqvjvfgm5Y8jWBVhAODCVEmaUapXLJE61S2wVUmeGhcaNUgkcDlwsCTDMUFDlLcE3mFCwuQsHhlirLVkK1vbAViXsgsSXn/nureuZTFkmQvfvBD/HTtuIyoB062Yn8OHusXOnOhKTNOgpIUXKnVi2luZuRFVn/9/5l57fmX/P/qFwuRz4ZB34GVbSK/8ynsc75d1DMBR6FUAS6yNsmMhm//tgxAQBUEmjHu1gZeHStCQpl5WdFMDh42AEkEGVAItgwZnMLra8kcMqV3Pt415lb/sgTjfLGkpWd9kn//xwox1U3hw+SofT+5n+ZmdLpczvkWeaFwia2a3jGgIlri2PjM18i6patpiX7kv+aXP4cs/M/LKc//Lnw/+eW8NXKVUJt6zjZMW2rrRJCwNkgEdIAl2pZEDjjiZrxgekEhKxigQUHBQksSqEZTWJegkadSFJwMtoX8rx41X/9HcxgZ3o5+VDLRy+3pd1vJs6smmj70Z7kUd9UdCaXV2uqFnVHcqUdz1IjapLWvb/+6slP/XtralK2dTVVxJPtv8HQufdatmbDUoC//twxACBDyWdH0yMVen+NKPdp4k1AAJbpG0Bl4QsooDuAXnKhyPZM8MoDossSqCoSClRprrs0iHoRyabp6dpVaSYf58GEJ26y+0POzua3y5zzPe/SbL/p/c5P+0s5tIrmQxHCVeIen02gYrMJtjMtpGo36//rX/7a9SVqyG5MgLPT5TuHe4h3rvqrMgSIW3SNskjYQHA5WZw+EgzADIwQCywVAII3w/hrg6XRlFsOdYT4P9xUkZhHuwr8/7jPWO9qThjndNPuujXQrp6JotTJa69KyI1H3neivOjlIxWKywbTHLUju7DFP52QsE0vXtn3Xp+nv1VLavPsZDlGOLF2CdpbfiIOpt3PTpfOJVXWxpkKwFlCKADlgAg0iFoBYgkWCGYDWCCoaCtdrLxuNPtLS7vRypBjIJVQf/7YMQWAA6hoR5shFfh5T0kaZGKvI/+eW9ZdMBgNXYoYNkXyfpDTP5JrBhWExm7mYjRHDOwqZmdmMljtHqfJRqqKZaUusmaf9fKjz3J7RzqxXd2KJIdaxQbA+wIUicSAAXt7ZIgKOaiI0cA1CNwBGJWIbCpJEXXbsIw35lz7R55J5sbJ/v2ZXD8docv9uKRGdpOz5mbT7/vlFss//7l3MrM/kTMpV6alw+72CihQiUHCe3i5pIynIZua/nvrLXratf79KNS3tpIVHq5yKcU/1/l++qtvrYdVSAK2yJsCOCJAC8JErBysCDkcRQaYIgChDSVOhGHU2tNxeWG4Qo6y+3E6spfmf/7YMQWgQ4tHR7tBHdh6rojjaCO/CUG/+93+96I7bOwmv6+1/m1NqEr8QwzRuTx3WFGZnXNnpkKV1gbalMxZEOeAzRqV2Yslf+mnY8RmQKWBh+/n0uncqHiSlsaSJUOmjQFQMQkDmkgEGFhoMCGXIjIVhahit48OhLRnOaFFUyXbn5TTNkYFE6Hn/n3uH9DIddnR5F/ItvgPAXlcih1ICbVDoDNiODmZqYFYCpZUUBDTInUr5Hf36v/Py/h5J7p2o1+GRRxlMCKH6M7v1jOecgZdzgYBA5dI2y7JuomMKZVZoMByxEYWiNYQCgNfLgCPAW3R3loVptiCqV2wTp8qQACjaVYcf/7YMQYgU+dCx7svKrp3qEjzZCO5HW65ERK+uqWKrtXfZWPof7s63PeZJFW57u7x6lmI5gVhiShxLtEZBtkw/nkzfd9rf9zj//9/zeGbtr8PicpF025bNfnnwyBPbGOiGLu0MKQZDC4htmAfUISGiCqeDpw5mBEFBGM1+Rug88vcZZbqyeAsZa3CL0NX/x/d/PuyS01zC2tCVZ2vGbswmZy7HSIayl7LlaRL/dHci8B6WrBhVyCxtiAmp8cF8Bafue1bhMsQLHOAgVNnnPasuGWYjtLA4AAATUQF21jcIiyEEAqSbhBnpiwwkwBgCg0SXhhTQQiMMn4bhxrzqMzb2R37EFQPP/7YMQWAQ7dnSDshFfh06Tj3ZCO7IKDX/ayyww0hTiAGZZb5Rqvy5ocClrJkTmcWa8iqHaSiAbHSmPAwEJBYSQBJUPjGlLzS+S/9HnteuRiUIUzI4yirMbWsmXa5VYbKwS6yNsKPg6kxiDfXH/2DlZQVGByRiCKdNILrI+Uj+Pi5rLW5rhhcd4+7XYVQ7/5Z+W89hRsbGZ9qpfy3/8kfROzeFXZTOpZBZgAs0lO53OGpIep2dlyodh0cLLc9eef+2pRJxM+PGDCIOU0pOueJ24oCwBYMSAAAe2sbaBnTdc/1A3A2BdEOKMtAUSUq0nKX+r2yqzuM8ubaNRNsMdxJ8qZMfnHV//7YMQYAQ7lmSFMPEzh5LRj3ZeJLLlS263RP1t019m8nOX0ZtXW9mMCVsrFSyGc5FRFYlzvspjotkd9V6GfOWreuv069m2ZFv8qolkMiEiDJA7TRUXYC7kjzj8NoO2yNshScZUAAhoFn4GAnRYlHAzxDBATgSoAnBuv0YX0yiPWA3Es1RkUVaua/+KSIIxLy0Tt/7Ut7u3Sn9J/ZC1OqsjqaYiu80gWrFDoVUS57M3MMrorruy7kPR9NLfp5vRKX5jEB6PQ4ShnYkSVVvCbxVAoygfEBpVW2NJExJTrOVGdMh4jmMaLKAFQzjwjFxS/QXNg6BoU3ymjkMkRog+CsH3YZANBv//7YMQXgQ+VhxxshFmpzzQj3ZCK/fvY4b33v2N95vFsad5Wck/NDwM4YhNG1qzAj7kMDPeWwhNEzC0JmHAyKQ3RzyQqwfX3vweymqtKcqWqDU/SXNJlZzjhPvvFDJ9YDSyUUC7bI0wYSxqthCpvAnmgMIo0BdEGmE06g6gQqCqbUVdSJqgchWCj7elrnwZdw/7fe5a/MhXBgk8uKfzzfz9vKdJIXUpjkTfHCK4IwINkyQhTTocsj3MkEyn+MFQp//X+irsZJCasoN7/91vPIfZFBmzF3lIKBBLdI2yBfkvDNENds5mCVV/B4kcRBwija+HDRag6Hm3Zvgz5gl+C+QU12A7mf//7YMQXAY9tox7shHch0xsj3ZeJLfc/t78SIt8EN85yd5s1S/v+RrNDuDhWdrtdyk4JYnmVI4eSiEXYzy3p8uUfLJdl/KF9p///l8vxf8iSUkSxycOyA3EiCR9iJo4Th9zR6EbYM1IxIDEZNLoHygVOAx1QhUIQ0COAcwMeZ6hBtCWG8WztsdPlEiGun4CpT3L0Wjvqn3bN0dtHXdfTcmj19GM7lVgbo494y2vihIvI7NvmCQ6PfjBvHec73no3v////5/+aHzPiDtNm8Texa7BKW+2X0uQ1UAO2yNsgosylxxgKAniOZp60wSeOKgUDBlgqFD8jYkPcEKC+TERsnVpM1O1X//7YMQWgQ8doR7svEzp5jxjqZCO/PHelNJ7KvSrUytX7LT9EuzehkSxis7sty3ziFeW7iXudUKZUVGW6qFVmq4JqWvR1Uyf9NP9tW7na6vNnZUYr6RyHdd4/rMg/+te56wAUlsaSBo7momYao2EB/jHVSbLekjQQ61JlQhITknpl6l1Jmp7OVIJJg2JhkMUPP+KWalmzvtZL1NfAGp4lXdZvs5f2xGmkRFCc5hIhDOStEkKEJGooj81Rgs+7/yK////nkv5VH6uxLlwGqEx2LL25HsXZ16RHH8EapdZGmQTmY7QgOOgkPwIDQwQ7YCxGnxpkyXyuJys6L2rCsIbaTZXn3g8Dv/7YMQVAQ8ZuR5s4KWp16Bj3ZCOrBLh94s+utOhWRVz/X/+rET2tfQstiU2ll1GmUwwqFQpdnZ1szsiu6td0Kczo1WX37U9Xt/rTPVjsrIzuZZzHVDueVCvdeN+bajy2fdXQEsFbpG2FrA98Klg+I6FwACRJAkUzjC8D8suYOpbZoWtNJV2sIxaTR/kOuzIZnv+Jnr8uM5a2RcCoajB3yNC3c0UlaKnyPDPBWLThLm5g2bUkFjAbLHgK9hI4ZW4249YcHlCn7HlkNDyVpYkc3cTKqDCy1r4DCttBBLtI2yVZAaWkwYDR2hoARp5ZE4jVRVlbokesWfuPy/TjNMU/JimxcFQ/P/7UMQVgU4wQSDs4WVhyTQkDZeVLJV5k469Vpcg5BXXCTaaSj22pL0rSJElwmLA2JRGLiUs0aRD5hBEVFCpoPNWtc9s9XJbn1HGuC4cFmCUG2aFLWVRyBl4fUH5dqIpjAIFlipKbZReEiPKiQKUQ2OcdALtWOUE2zcJwmhntECdFneoYNvwd7ql1bSdVopbac/siLs7/I+t39KMr1ZK1VGILSiTpI9Eqiq1Gdis9Z0a6OzXP7v/tW/1bov/d51uzOqTSjS3byrmNvLFZ1JdIAD/+2DEAQEPbQcdTQR3adSgpB2Qju0CS2NJAwRIyhQDUTakDlDhYKLKzDgxo2ViG4EQRDumFY6vSAVeP+k3B0GahLsO1Wq/9Bl+v5LLomQeRSkYJ/0NGlN/2/nM7bqjpA0IGbbrbRkhgidT7VpoD93Pp////vn+/7/fN5WcvmQCk/hBH3cjaVmZfhzzE4M7iFu1jcQoiYjYOCAcAKxbATLBQcSFL5tIW5Nqvk11x3HfNg6v6LKxAUWiNXX/S653++93dsOieH6yqUvb5wSARDk1NzJ9CNQEJgARFxe0e7Z7UQ17ucUW35T+WX4Y7v+/DZ/KrAr4KtjoZ/OPrcz62L+47+DaRVb/+3DEAIEPaQ8cbSxyKeG7Y92XiS3ZEkARPS5EQUixCacBCgcmESQyoAQAFkS5R5FPHJljuKMphp9zsfpW5spFyVeOedLOxfKzLyKlyP8Pn+nL/9h/mh5283pXyLRNG7DSq2SdVqquXLbg7jo1d4Z3fo///7e1//Xz7P/J9HU22E4bgra1B2M7SQ0mg0UU9hh26RtkyFzdYJEib05WjLMHlgwM0g0bQqgmgZUZpgmeyI0fZJ6tsdYMJF1/4hlatkXbvZfaQ100RqL/e2/suj1Wz5ST0VqsRB7ujY6Ml5iovIiMdXe5HRzf+9+6affRaXY1jXRlM5BkQjzPDJdrZq1nVlSaasaC0VqW2NJEGBjQlwYLHU4egEZQM2YNnFQcKXCzhkSlF+4wp80cVKWv9pKZ4m5uxW1/gZSl//tgxBiDD9GhHG1gRenbOuONkIr9K9FeqzqiIuyU0Vq+rUu0qIrrfsyWq791uQ0jBKIqKbO3BIzXO7NdbNXM1yr89kb+lDP+aRLVPQzGul31VGKHhVW/nr6KZLZNkdAcK7m3bZEkCWgKgiMAy+DSjLDwsGFIAIiNGo8hwS0lqSC6sV/W5omwXfgrbxto79Wv/02f5d5oi7efF/yk7Oj5yxobGZs0rEfLINIxzBREbGQiacaIQEcpOipxyX8/8vX/2L97KjKxlY7koCQiF7y3SWWvmcqkDDTECOpADtsjbIyuMQYMKJB1UBiyoWkRMSJSCWSwbYnbU15MMGiKokvYdt5WaJ1n//tgxBWBDvmjHu0EV+nOoGQpkI7k41h/zvP3/WeY9HLB/r5ZXKs8xS3SAyZzMwESTAI09G4UeNwc2dqYAZpsASskSKR0v+fTr2zV5pqugRWVSCJkBe+rqAGENzXm8ZMkIoYALrrG4RJcbUMAA3yzFGCiEGCJUqGsMYGpYqmy2X3WKvs0RfMC26GxATsyPef/F8fz50zaLJb+vsv0BnpopyskHx+pMVXjE2robZYtLNaEKCDHgUi0mYUPEzmgNy022PR+myQYbBs2TBSFdLWaiqVCykIAlZLY0mAa7MYjBRs1QIJYGGOKUGCPCppJ0+gIgJE9GZSCNogGgJ+Q1zbZ0WVCNxT9//tgxBeBD6WdHG08San7OiOpkIrks3fz6Reifo1O2y9NCo2vRdqfP62eru7MqE1WpGILY50MU1zOiNYgl0ViNMaursdWmX2vVU/6bejr6XWhAhjgmKCt/29mBKVlBiG1z8wHkAS2xpIEFpVKBTAOnMAsLNIwhBxAuj0sIrAoqptSQ2mA0d/VN1WyepPxVrb/b3/xnDV7nxTJ9s2oJyLOiyEoMm8jhkVFDMjJhMtX0R3KVmjykRFZFS5Vl6K99lrdT1q+mX/19OifZbvs7NCojHMdw7wdqqcl6o7eswsojEysMIQS7SNsiEqas0wYw5YfLBccGCRg+DBivWHNKpVfxWMK3w+l//tgxBGBD60RHu0cc2nKIePdl5Us2zdcNHJMHifgIU4acw+yor6MdnZv+y7a0rey88m/Yp8pa775sOSrmcIszcgqMSK7BbCzEmFKsjq3cstkPf/2dxn/5b36ebgtjtBloLqbcZf88u8xQDPk5g/ysFusjbBgwHLSCkTWlFWAaIUKAQ4yyV7o4OYoB68KsqCcFPQVju0Q71Eks6/AlZmIqd79ZPp/e9vQrLVcuykoxmHuvdVYyTlUzKhHi/zKfMMZYsh8gFqlBvAZMgXyE7/xQc1I8WSJiJ2bbUfE9gwCAkqfLUAS2yNsGDeJCGPFEV4nICMAJHDDgjJBGcSBQZNqgk8UYDMK//tgxBGBTrUjHu0ccaHnOqPdkIrl0uotyjFcOA0FUfH2Uwx37/zfd9vM+ytpc9LTydtsinvATXJKR7u2F1KotvaPDNiX/weW4bUfYlwsANQrA6W/5NaVlQsqBw6DCr3kTw7LMOrJtMwa3Q0XDciCxpuQEC5dYigIIQE/EWkqdKzMAxkSmzbqRWoxSjoc3SeCCMb3+/1/e8/Rn+2yVZTqteXPNwyzmx2EeImjIhiOKMtCqMTWxqzlCOd5mVGIrjEM2qrarotEp7Ppb//+6O7WK8ruyEMzstVdfReyI1sc1Pgk6oIS7RtslgqY4qIhhjSI2bYsPJDDBhII0JpaXjYmaRSKqRcl//tgxBGAD6WjHu0EV2HitCOdkI7tqTWGaUdJ144bgPWX/Ie65rpHqV3PJSlSHOX6nmOIvTlmeRQ2E4IyGLsTA1fZUciOwlHLmPBMqmkdUT9H3vWu/63p0tsVXRiGYIrmYEa4Ma+FmEYIvTnVNIFnIAkljSZAFoAVM91XQWQT1HtTFSEjk+HiQUfFUubtIxykSCZE4lqOVopJoYq4/8X5h+H7u8v9S/V8pRUQZLLJNi1t2dCKUhM0OZKgiLzkOalNub/lLT7lsf5w5ZOV+//f3pf0sjmaAlWOqZdGMlPE+D3mA/eX13KuopbpG2DDKQqUCwYzQUXMlnQxCKpQUZWHXwsRRtps//tgxA6BD0mhHm0EVynzPSOdk4pMvfVWBhzSGdRD7XH2hqH8v/5jH88+fnHn73dhzLtsivEDpDSEaNrCpHLDka6kMx1Ozw7DSEzu9zVxC1KR9VuS7NqRtNbo//7fVaPO1aVorICSz2fcRwq3/E6/lTaJCJbY0kBJwXSLzna4Z8oUXKJTGCNkJTpyGBJ2vhEniSHdhElMaGr03St3bqCBqYk637lsu7ehWq2n6OdVPQqa2vaqOrUezsVWuaiQSmLmVnkmcShFYqpNR3u91O62v39G6Uov9dN87b0yzO6kgzsYmhbSdEkWjbLZjsLqWJTADssiSAJnGXPkyAFYAeqFTIYcMOcM//tgxAsBT421HO0EV2nFs2ONkIr9gHVy1ovkzFg1lo6ZC+Vkryfq9Kcow9EDZb/6Pe+c8zEzlWv6C8tdzLkSgRZSQUkVYCRinkE5IUQ2dDCCvVajldEZSMZpXdvOutf///5c27rSRlkGsxUKpUJlvVA3HImWRUQyjca0ktrNmY0DgVUZupkOFiFFgR0gkpM5vi31lXcVbooa46I7MG2nOU0BP+/ONz/ln87fx4E3NNFy1VR/y7l+caSHmFGi8E4TQ5VMus1YjGPIkFSdkwjl/nn+WX/u1/JZmRHUpHIrAsimfc1rFjH6kC+dfT6SdtjaQARoyQoBGRRIGrSohckSSEpNUKcq//tgxAwADmmZHG0EV+ndNKRpkIrsCZujO6Zw0wmUM2VgaFRR6u9cJf7K7/1///+AEzMjYofKtd3MDLfyBrmbk1Y0Ap8AqnHQgHojgaReQwrUXzuhJf/1/7/0o5moroylOCxS4Nj3b+OJveGyCobSZekBALv7ZIQTCZlYJIGsDPPC7MEhdAqCQO6LMFHI5F4YZLFGmQc9165yxGpTzX/Tfv/5RUK2q4VF53tc6Kux87yATCzJo2iJk1s1tHhXqsCRTOdXrVUcSlmfZGREWf/T//X1Z3IxTKTeZzvVAY1WwlIPMixwUrF5CrdZG2BA7UBKokmlBpILm2HgU+KD2fNfRUHsXSY6//tgxA6ADuGbHm08S2njMyPdkI7dw9E3HhBLV01vE8iV1vP6a3f2vp986uhWX/VafrbplS1GLa5VIisZDPRBCld6oDShGqhaogRKk7yOSc6lrTe96dsiOn/t3v2pOrvXg3SqbqsZz67bek5aUtmTghbbI2yZhJptEBhxCm0UOLoXDxoyYuXNIiCntjDyJwSl5mvufRUOcFxCP81/wPl/LHW7RF29faf9fXLD69vV4qZsS+zVrUNTS5vFenLxndXs1h5WJufpmZI/J9//7+X/nfv//Y20MiU+uCJkDb/f3v+0/MT99a7EbgQTbWNsGKMGbCjAUIPgMKFCIcOEKAQiWhJgJeRN//tgxA6BTt0dHu0kcGHSHmPNkIrths29ym7qriWu896kZgNhTc/CFN9z4f5n1+TP7Oyzy//sn+2aefE/k9mSWGV8owkzNmTRzJ/7s1HbrwigwSFnz9yFpfWNZ27mjY6kVJVOeaNvZJjXojTDDADVLbDYkJQ0vBy430RwcebBK5jCMQepozP3ltOqpRD1Vrb93pjCGpDDeHf+lx7nl0c5h/NfzuvXopyMs2yQmhAKIhG1IgO7hJFSCQ3RQg4Hi8TLLW5rWNsuWwUv7XP//19vK+7isvf6KbtRNnz6HgLYpMyn3BTVQA7rIkyakRqMBh5kYn+EVAxKcDImeG3dzlbmfvhKnKVR//tgxBCBDrWfHuyEV+noM+PpkI7lgpgrwxvlzCC5VDm+f9/u/5/IvVnUyh/8pFpzDSJFMiKjOSbX1JmAQATKUiJWaAa3e6AsADwkPK9f5EL/IyS3RFtqilWHSQyAtFEnPp/vY2luM/M3NABLdI20AtR6gIQCMziOSNJqxWIDIPNMKZPW60ZcFSp3X1XTKfle5ZH5Hrv/Oax/u3mevXwVWpb0Un7vnHynCROhw0BrJki1i03DxtjZUKZSqfIVKOZfn6v/zPPzIp/v+5HzQ7KKfk+I1GKrUw9P/48VZty1OzD+xCCqAhLtY2wYGoWZQjOgIB+wgirMVFEdXj5MKp1jyBuSdMNx//tgxBCAD5XbHuyMVenYNGQplIoMZdsO50N2GoxO75/hyhod5zzh1Hudyl4UPf8zS1OG979OF0j7ID/qsxGst5npYErPDEBl3Im9YxL1IZmNdqCDrU99ZNEl+v9Ey92KqIqF3o7/lbs6OmjVf8NFrTiAQDdtY20ImUJwsCNjHKKqsPPGAGr1dbxsIdJrcDPCs6NPs4MC9YkNtk1b+BUQK3K6unWX+/TtvdiOayzO3pJdqTUHqZJDUKwVlRDsp+rHsiKdGM59D3s176W/fpfa3XrMet2uhaIIsqlKyxEH94TunUwEaQltcAACXaRtpSByoBVIzEj5CL7B0RBIEFL4kbCG7QVK//tgxA8BD6mNH0yUc2nlNGPdlIoV2wJ4RSCHDb2/QVpZSgCrYKzx9jo9P2d/6WZFbN+sy/f9CL3lOQ51SUbhEniOFGVMczODioi5akoIiYzvtcvu96n5F/k/el5z5fKHraYpiDClBk+H8eZf2Qy6EMWwVmphlukaZBjhutgYUATngMKEET5gkgplYVoihjcnoljppr2+M3c2+1EiGhFU/ze3ucx2TtZuzJrSuz/97KdEskrK7qLmezI6pKZJHNctjnRk1dMjut7n3ojomvTet/97tbp0o1E5TUvcrKxCoznGfQf7XxJVGnCubODghQIS2xpIAXAeRMEI2ZD8PCjgY+ZCoCeS//tgxAuBDs3ZHOycUmnSHePdl4ktCeVR5nTu0jKExJ6OtnYrbr0sFwaEKpiihllnY5CdV7PyJp6NpImzK5C+lEcn7IzJZIOzGndzWJClVGRqIrrvsWRrdNEa/7e1/9b9H1R5dnSdE2ydFqV0v3TYmZwjPbEoS7SNsmqMbCg6idxB5ikqycRJEWpTMbRhI8W1JnWLu6RLEVs72R42L2M/iWea7/Zl/be9tZX/VWvQ3edna7Xpd32VXKHckhTaitBR1WPzquHTvZVtsZyvXbfpub/+v+ffP0J0RizywNG+v3dq1Zl67q7FiMoCDu0jbQXbLchYo31zxKJVmvApMkEYO2y+mHuZ//tgxA4ADsmjHuyEV2HROaPdl4ktGnUWClMGsEbNa+1NW5vPX/a//5/pWuHV2R5I/ULLw3k87Pek2A6NISEQWAjYQplZqHUYe2UmVTMZkt6lpX/Xpr6z9HdBSs6o6vV2WRKq0PQVvzDBpYy0XNR70AyjSJshaUQGmWeBsD6EFGnaMBkhJgxhI0X89IyDE1nch+ICeFDX3qcpL+I0OV1JaRf/umyf36adFprM1kd3dlqu5Jju8m2ihlRiFIVTm2CbUOxLneu6r/r7Z+2zaW9t8y8pSlIc7snoZaXq7rdBTqpWtHlqYAAGS2NJAZxBNBiMGQCehZUiZwCKhU5QUfo0CfpZQmKD//tgxBCAjo2jHUy8SWnlvSOdoI6sSYjeJYgJ5JmBiUd7fh2qj/1sf0el7ZfevbfMtFe1r2eUhOfTTV2qxEWFeylRlcyAitQ6Vo7nozf1T7ar/X6+tjnot3RbULYO7+fSBYM84VcyDGSwQiTCHhvQCCcz6A5YcGnhYSJGxALQ2hayGvrDxhpyUMoZQ+0U7dqSqZnMMf8UBBp6z8prnoy/a2R5rJWMB8zRqUcLahkRl5UnSmVKly1zIoUn9+lp5Gp+2Rbayf5y///P8v9/tpT6p8eMHMXvL6HnnPLnnELLlY5BVgAIBmGtbiBsgFHSZNIs2RBGULChZVDg1aFsgcZ34W7qz6eK//tgxBGCDpWhIUyUc2HDtCPNjJR0Muudr5zNQNObHNY8yLTX/3f9O1s6Us1vM18uJayKX7vJWakpI975NlLHC525flbfM3b3/st2/mu3mv+XzvraZSu92TKZ458xIc6RgpS2dGOVRQNI2wZ9ANgK8dVgfgUIFlAo0Ag1zvIvBwoCuuUppK3fXVTdiYcHgpGwfHiD///31rSxeyrV05/ZEkZaqd2MRUR3eyM5jvOo4ofVCk3LRXHMWRUZWM1t9qkT/l7f9ulPujJmcqurNjD1FkqIqT4eZQHqwAAKXWRtkW3NzIwAzKkN48YEFpBZIDKLadxkDKo9SOirfOMvZVFvUgiZDSN///tgxBaADtGhH0ykUGHds+PpjQh94R6FamiNd0tq7dUt/v+V+z9XWlnXcljsYyFqrnJIAtdTJyzswlrsYqavKh3JsvuunZX/rkunbZm9XOmylVwV3OpKtCkQJGAxcQIAASXaRtg45JHiPgVmCw6ixWSCx8HC2Cvczxyoji2JRqWRFnEiwuVI7WASNlJuau6bS2rr2V5F/6fRVaqPJp6olGVzik1QxmENbLBnaUpgRWsdbtYpi3fUpFayba0fqf/122t63uqKyMO6L/WerfzDATc8IoNqjwAAGcokSZNXEUDC5Y1Gb60dJtDCcRwSDd5fT3Ndm2fpyzy3VePNynuyynAkNyeS//tgxBeAD33NHUycc2nrsmPdp4j13ZHfm7dP//712s1m/vmaKUllpP34j9uox827uuTRClMiaSRNyIsuXczXp+X5Zd1+885m/L55rp9j8MUmM6nJM3Ny3yvC0BISQlzQrysQ5dpG2QcNMqaHBRoA4HGJ6jSkFDhSgEAnBKjLQhiLoHMxqghiW01yvoi/Ap+I68ya6MlkXr27Mv2dnRqqz3dZDLNW6ssyMqIzmI7lYjDWqynoLRXRxTOpLFNeZ7/vp3TRbN67tXo/q1mKquDFty/fn6//iquQsC1N4o0ActsjSJkSAMMdJOMo0kyEEOtIKS3qc8RXMw+AM2lpAv6uqZb685Yb//tgxBQADsGbHOykUGnTsiPpoIr9aGF5/g9TZLk7v3/pN821uykeuVkSEW71crzIzqyXuQ8ru4hWVndCvWjqVbSHd5EXZj7eV7/0/bRs2y9E6GdtB2vehnH7dOdTw8eS6PNWUAQq0aRtkwiwABy7hkjgaPBIkaMAQcEClVmVrmXO/cVchPOXM6beFcmKaWXYnUw/7W99veAMir/6m/PxZfXKcpErNEaFFwCyoSDuShDZon0yYxDjQDUWdar+///Po+dJbsxAtRwVPOHW/W8H4m+Q7Wpu1I0eBHLbIkgFFDaMKFxDubaBXYdgzoB0UNZEtpy2t0DL0uHifhX73XgIKBBAAODx//tQxBaADoXNHOzgQ6m+HCPpowoMOR3Rmsi67L7qyf6+lfVTr3Ls+fP+KLd5O6SLd19Y0rF+Q05D+9L/36dW99nX7r3qiqjAmckioa7oyswyWIrWK0wvj4PBpgMIFAdt0jbAYPLeFCAwY4pGDhVPkcQorJRMFQkNs979t4sPJmItDk960T3CxB28W8HS76qyf3v5VT+nSXW1Ny02RFPSlard3YGCKhUXkwmCgNBscKvuHJUzl3suz/++5bRgWYRCkc1hM/uMIaoOJW5tABAeXf/7YMQCAQ7VoR9MhFVp0zxj3aSKDaRtkL3jiKXQGwACo4qxExBEl0zF2qkdp2sWzrwgto9W/yZuVNSaP1eeCyCpZ3kj55l7U+X+RgRyIW0oFStrOlZCuZwZMqT1PgirIMEO5HQ15qnVstFv7/1p+vvNMjrWzwbsqSupzgn77fX6eNrbVSPIUzQu3WNsEqduCEkmjCZMqmXZMGMGADE11MQaVKqR1V89ae2u+Y9ajQwizl76NKnm/2v0RLXbWmr/nq2h7FS0iKqlcjljodUOwPU5DsYrEYdpDDEQ6OeddGI/t/WXr//+2SrKZjEZEbCHrItV1K7ZLZEu5CPFvSoGdGEjbAao5v/7YMQEAA2c8R7sFHHhxaIj6aCOtKQ+B5Rlwi224j+MBZ8yKAF3OzQuUu6HI0r2zwSGhZRUaXDS1FE/1rSv//b+tpdp2du27ErzrwoSMCOdcjChgAIQMagu0FTxtMsLrhKq+aDRV39wkalCRPQFBI+jag6s4+5QmWsgICBUu0jbJhTBjRYEEg02LkAYVGgQKEICkhVuNehTq5uCvXJnDXZ3laxcypqC//g57Zfn/eD63LXxlVSc/CCQZKtyDNgRIZHdpCtjZzfExAEhMIIq1CWIcmBjX+Aj6Um0NBMaSHnnRKSjpWHlJWAT4oPqAGguW6RpgqyCTKAYG1FVpI8aUCZEgQ41VP/7YMQMgA1YOx9M4SNh27OkdZCKrPpY7BHaZkuKDwAEY7ipSURCH2ZNBtbmNTbYTb2pcZWktaNcDgYNtIiYqcUKCoseDZMJvnX1il1G5ojiyQrWhSf/wmxh9Lh5SSXohEUHkrwq0GSgAmBJRvbJEg0aRghFNg0biEYI0GMnqAL0We5SVcAR16W8lsueed+Oyulyj1Bf/+Ml/0VepNf5Tx9Sy4DumNTR0q5jwbmneVisFUqHMrs7KcxbLSzI52m3lLnp17NVm/9e+5GcjmTRmYSqODFH5VFhsmZN2xhMrRQ0Km2tbZKi6+QAMcaIwwIxx5ceALfqZnaTgu6jdGYS+VLlcy+DMv/7YMQTgA4RlyFMvEjh0zPjnaCKtYMOTbc9a0Rl2627P/yVpZTvbc+siPVdl3d+jIptTGRys2fKVSYNVVTGO0jtvq9Jf+z//rk557NV0M1bCyZYYo+eu5eJjTQoYcAAJu2yJIARaIhYCFmkBB61bZMyApwHBFUlPNo+7X5UyNckaguHor25c7qpUz/3hIldnyotF+/dzJP56JgkDlF2GzGRmQBCzoLTezqOAEIVmupmRmlRaV9bf9PWv/ReiLdEtndj1VSMDDa++O6aQMo2np1BpayVYBQmW2NJA0DQKkZgQaEYLbtFF4JdDnEBQ4rE8jleNwe6gLahip3Ak1KHDkyKx25v1f/7UMQYgA5h2x1MvEdpzZyj6aCOpSvTabv9XdObf1SqUyN/YyGstC3VFtZ6qtDleUimBHQvqiebr/r5L/9Ls6onkqZ3ZmQjGVGOj313RnWqHbBP1GViDxAALlwkbYBSwBMlLwCQKR62hpMNBYqiW07rxQ1YZeyKhjLNJ3t27u5STFf/C5OaPnJ00///73lzkp558HbzjGXXJYKxqNhggAFMOrCsPahC1uFW5HVnDPdb/5b/////5/ULwCiPVaYi6Kyz+vYBWn7XKjNqAAAuWiT/+2DEAoBOzZsfTLBJaasyZCmQirxtkxpASaPAmVCYxhdQaeFWF3I0AgGYPWgAwBFW0LHfbrkbZfYn1ooJlWWvf1///6pdFZ/o7KatrOQ6Way2Ks4NRhFDEg2ZVcQzLR1RqtdCStZGkm9SJqjr/8t+k7PVXQtlKdhaBFPf53+vkrNm/sJpLWgIj1w1BLAaIGDApYTtAgQ0eFyy3qX8gbO+z+0L5ttYdqk53Ca7Zwub/yxBMLMidf//rleySu3+5R5Boh94AlGOTkZpdkJM5OaTOOdro3pp/8tv/3szoyKjTqqIJHhBQM80iKAVC2BBYemEVUAINlukbYOpTJAGBOlDScRQGjj/+2DECYCORdMfTARVqdCzY+mgjq1AUByqy03ml7QazatW5EoG72ktUsq7d1/g1ee9cviy9uW/ijmBDeDNqxDPaGRIzomcRHNK2hnckGeTs7mRaozvRftpdbJShP/3uzOaWRfSyIp1eqTs5tPRGZbxGYVfDqgaFxtkx6MsESqQMydOGAGSCawqYWKj6hLjj1u5TNeZPD1htrXcrurvI5V57gDk+7NdHL///+VEPPboPnSd90Je0kJjLtm9yR8JyGVYIoQiUiW5FuX//PL+lL/885ly3S+Wkp8HaDsnA+P/7fTQZy59Kd+11SAANg2kbaAsIgDMVtzTSSGUmJAUlkCUU6p56cr/+2DEDgAOvaMfTIR1acMi4+mhDjSrKWuTkMw9R9t3r9J27l/g3f+nEu9XctJeo7yP/SEOyMJeUM7YZBzf4XbTa71mSy1TiExlmX9WFCvfuflPl/vn/oV4lO+aHCmFtD1CQQxHnum8Z6+BBL2r40zAiEy0SNsMZMmaGDRpA4aBFS0PGAAoZiwBxVOG4w/LGROnMwbKJ7oUEUdgTbtZ0Tt6////6p2ufONldjXf+fHSxjS9RK1s4dUx0JF9mK4NwhFkAYXk3WVNOgT7dS44E3GBUc8eupqGjRYDgYGS4oKwIgBcPm2kbZC0Q9cOgmyobZ4JWcwqLJLIrteaC2rB5Ez16p+Xt5T/+2DEEoBOnRMfTIR1acO0Y+mWCcx9s2+Ut+S2ubJTSRnnmUy6Biawn/9+vErLgNkXJ0oQxKyXhInr/HssS5TEOWOKFn7+yv5d/L7X973+rbu2u9eq4LaXa/1Fe8WqggR97n1bFSCQTLrDC8MpsugEeh+QNQQhAIKElMpc1drEDTbRHBjB0MVX2hshMCbbS+iLTpRV/1+1t+utLJpsi6orkZc1AqotaGMzWUQWOjkinM600kVLGN72Uq1/e52X6N6yKkqne1Fdynd3OIcK3SqboU5EXC4+ABQmUWRJAGEGwQNNGXKcgwiQIiQIWwJAKuhb7IIlSLzYl19JbIu01JTyvt3v+1T/+1DEF4AOoeEdTIR1acIzI+mXiO2h//+/n3nKkWkVcyBPHNH/NGhMtcrXc62q18ylTzaJXsUpGL/y/l/+VvpZef//kWU/SZy77M52sKo3885yy35lwjm73xilwAgm3aRtgRvgRoSFCjB8CgggWQJFCDhlIaUw+JrEoLytKBC43rJM8YE3Wdl0umvZN+jb0We/209XVmVbMpquhksiKyztRQTBSK7TcdCaoyeRyKj+htn9/TZ7v//6Ze6kndwUGN41/qJKPfzuqoOvtBowCBYL//tgxAIADUQ7HUzh5CHENCQppglkY0kBDqMLmeYRgnWWIAh9AQcD4B8LGjiwGSuR6yvcWcr3LwYcka0u5xR/53X0RdenQxoqWLHsUUcnSgsROkgTB8XeMFiY4NIB8YPuFksWr8t1+OrjirCRI0IVk7zIILKPtYsXOCcSuFoPdtY3EBB7rgwaEhzVgnYKCIUChActWwdxB9NWgoDxaTyPaf1taykpMrYZGuyad7aX/9du/b6enWV0v3QuqOjo5J2k0YjMV2Z0PYG07Ho4bOlWSvXW1Nrdu6NZOVTT0etEQ5TmJEnPoNNAs4KOeXTVENSeW6RtgyiDNGHSjqNOo5yShkRHF4Bk//tgxAwATckPH0yEdWHBNGP1kIqkRbrQGW0l9v3LlzYZytjWuYTVaS1/98+tf7/8zmDOX3nfQCEChMkyIkW46QI/f5uUMzKx4OcTIWFyGUaRIL9FKCv1axoBFLGNcRNxkoxaki5WLEw4AVLKADAClutMJYDLhZcPKBbrAxplC/JerLFWuLlVb10JY/LUcPw1NROIwRc56UEErs/5V/70ZndJE9+tWV2dXH3O+qopLLRginck5HLMZpld6kOfRFVOQ6Iu3/rWn9/2ZfZk3VDIqpRxcfetd2p5hZAs1VBkbo2sjZGWgFCosFpAGWXHIjRQd2UYlRW21l9R1oJmZxoNTiaZ0kLD//tQxBSADZ2lIUykUGG8NGPpl5Tlae/Xb/r/71r1stV9af8mQyoZpVlM5HZqQkUjqjsW0zq+rro7bZ6qpb32er/03/9OzFJbcyPVNnZ1Ud+Gus9Ew1iirhigKDS7CNMgKo1lC+YMvOsIAjixgiMHEMxcFcVjPHLicy2fyppo8gMNCk+99ERO8qfSQ/T//9/o9UrpU5mtJRWZrC5EZFRE9mY6bpatlal32RKNX+tf/p1W8r6LQxkcjVDpxJb/xpJ4PfdPjzELxk4QQCpRZEkDFv/7YMQEAA5B0R1MhFXprgdj6Yy8TJtmUARZg/AdRIhEgi9KX7mN82mW1zMRlDcn7sXrlyVQzcku+f1Kpwr/9H/5VzZo6QiR2wyOZhF2ZEXY+V2MkYZRgkXCQ2uSNL93+2rcv/rSRNZ0dtZmQjuhEZ0SpWrVEKyTGRVWNnp9LwYAQA6ALG2RXJK1Bc8COZEULUtERpCgxjPVxeJIBdS9aYCv81PLI/XrPPCrf//Yho408ZNjJ0RzwEHMCwwKNFA6wBsOFGgEqGhQaQgAZHIkKcw3yKy2UcoBBEmYBYQhcVdWMmUDxUKmhPefUMrRpB6MJY2guCZ7SoBbY6wRQlgoUKYeg6qd/P/7YMQNAA21lSFMsKypzjNj6ZYVlWgc8LgwVnIZV7dovAgWXZppv/L+v///t56yKxF0WxY6Y61lU1bMhDJRUlMa5VVrmI70ZKacy39fXf69m5kzXU7C6rlcyDUrQ4Z62vn+1HqaHNr27ZMhUu0jbIAUPVgv8NSm+MFk4FAzygiQUQTgU4paoXhXEHZ9vP0XKAcKfPtZtfui//+i//ddLsm+VHaUhnsUd1OYcUYhXOw5kRmNcshUoiFzlec7shcjomXt9P/+6aIt5EKpUWWKYIXffBBuIwdwddD1QjTVYKBaja1tkdqKpoKJBl4DYBBr3EA7M0IFuKsDHmhQICkcxYt6g0WHBf/7UMQUAAzpoSFMsKqhwLJjqZCKvZM3K/++3t0//6JaxH3NY1aonlp3qcynoiyKm5XSiU2upZKvy7fT9NKWX//tt3dGZnuqo7oNPUcq1hgQSACzRAAsAJaI0mTFQK3AwYxYDeDECKFwIESuLjuUzRjtSuyt44tIWOVec7hQ5XO/6nYP4Kf///bNT5S+2TI+H5CeYldBOYzAjMiQgFK0nFOjG5GRKobNVVn3pWntSr99NNynOrqCxGBF/xPj7x/TaHOyXmuqoFAaAaRtkCtmQ8H/+2DEBYBOFcEfTLxF6ck0Y+mQjqxDQlAbvCpIPcFMXkbAmyOLS1TQN7CgK2D95fMEFt1rna3///rbsn/vZts9KoyylUUhV+7k6vcJVTzFCNYqsVlmV3pdinR9Edak9q6Jqb/5sxVetmdEfocOdXc29LJ7D+PjZmGeVgoHBPKNBycRjjABpomuYCRRoskLhwACsgXs1bdxx3dmWRSm7nlqblcej1//7x///6VHy9V7ezUFooDbl3M9fmaPbwxFu4cZkqn5pK92KpLSm3cmy/Pv/Mo///3M/+3RGi79zNSJoDCdwKpY9wmafAgaIxkQEBoLZEkAAVKgkwY8FOA0QXvIj5dxm6v/+2DEDAANxPEdTQRVobu0JDWQirzmCsGY7jbbxm0na0393vPsUUfmef4fX+tX4NTyil0ihOS5gvI4qkSMjKM7tD2kcGaeEw2XEj1rET3mqNncxq2Ku98e8VDcStWCb2swKlo0ulIVQwQDxgrKQAJt2sbaJlTDEMLZNA8PUkyZ4GgLUQoctrTm629z2zFRz99x3Wpqlz/8yr/lrv/eV9oEl0f/pE5TJrXtqIATlkYWkFADZGyLEN88u/a3b1XYv96KVndZSshEdaucwFMcwhD1puZUOgwgqy8SEmDQDu2tbZNaIHRDIprvAeOGigolDcMuOFx4CLlATRO0PIym/VKR7KY8jIn/+1DEFYANSPUhTKxJYdUhI/WQjq3Z73TT7+TS/yJ78lkdtFvMyjkvR92RXOjmQ6O+ocvFQgUQSQeJgau4wnYn2+17TjS5EExj0VBipqbrC7FkzwcQApAAMt0jbJrbGg6lwZSJhhKaDySVivhgJ7XYajb27zkSt6anO61SUFJc3/nyzJbc1T+cc+Vf6MPkWmAd0AgmU39JsTOTJM4WULQd1UcE1g2Po/DeDV9d/j/+8rH/2+2+zAMInboAOfZOZ73Oy+/u0aH4EnE1ZApACV2F//tgxAMADrGhIaywSSG8PGPph4klsbSKB4ECywKfF3AgArDSOaQBiRsVAwvUSR7iJ5E7+k6OwMGbM+5kfqa/1//7N8jVWvIuzEZ0VZlIRzKZkMViNO53hiM85mdna6loidzl5y027tT+6d+9mZDrVFzTGIQp33IZShrV2KFYs09HxyhoyAwAZcJGmQvMKSLomTBgKCBDQx0axQhSDUxSeEbyKiPjVm3nLXMIBLtu2/p73Zf//0+uz6u+RDXoz7lmlV6lQEulWmSWCPXdnlexFrVE1MrI39GvVP9e70Jd0qqAmS8jUNKXJvW6vTd2nTJRHKHdhTFAFgokSRLCksETBmjHqxMk//tgxAiADv3lHU0Ucamrn2Q1lhVcWBBQOS4ZMpGRukvypXbq5Maa5AvOvAQAh41M8rV/2+n//+9aJMn3KFpLLnLerllTvqe3kjE1kOeUlOuVXuXNifPLv/z/5w//+XI86aaIRoQhd8rweDZApdsFyE2dUlPtLLSxiEBVFiExAEq7C1tkQCqnKkJwjg1oRkJ1CMJmqANqzRggi4TB+kSH3PzFyUCjOmrPZuXqb////r3ujomhp0rOrMV/qpaMqqLmtQRkCIs8SirzZNYXjatysh9Sk3tckYFhCgUIg6d4wCQI1zKjBEYtEdAWjCxtkZIM0odGNwET4EJS9hkdtEGH9ZA1GzkK//tgxA8BDamdH0ywTKGyM+O1nBQ9xscmw3p9NQ0gED7e3/dfr//7fak9c190KuRakd3BnbOrHOWMcjqiGI9G7Mbppqjs62u933r/L/aj2tZaIzWIxTxlVAaguutLhIWqN0XoBwgOBiiNJAExBA5UKdWEkwDSBx8otMRDddpC9bNdwHXnnzb6x1YcA4CjO/df9Gqmv//9n0tSn63bWyHY0+imoZ0Rl3RY1HopXREQtJG6NRmd3/7o1/9P6PRaf12qNcWOv/GylESqqWxglcfFGk0IGEBFUYSNsgUoDEiII1ig/cClMdFRleCwT7MAZL/ABhgKAiFlNn0RkiOz/G6f9v///ta///tQxBoADgWhH6ykTOm+suOpkArVbv93Rys51aberLRXZEcpCM4dR1d7uTLETHlaqd2eelujfv/T+yJrfU7PIjlRArmBoZ//H37dcu9KrV5KouADAA20iPfGowjWF5SAwlWIgQqKzQmFcRuC9aOs4kTpXFjFTv9oZVM3MP/PX/+P9/6onRt7tlNYx8pGczPFCWYUqO2l0ZpFOkqklTkmdf9/6yN9ZUZHsx2KrUojBjGHcEpcso7334EnaburRFk4MVHABgFkSQMutVIJGBCUB//7YMQHgQ1xAx1NPKkhyaHj9ZKONI0ACCIQnSlehfUqiJW4J5qZRtp4SeneN4QC3zLa///7f6e9vRy61fRDs8lFvp1q8TUryFMcp3eqxFS95MUOQxQrr15jviyEH+tSx4wPibGBwANAiXQ2BwQEh4XBAJCHbaRtgdTGS0RzcIBs5lJDwCSylCAh5lgmaUeEJhmxFpy5+HgED4xsVecml6U8i26f0f+tJ3+Zw573yeZcyqVme8djYpPrOrgypmdgYCiE8qInLWtBMk5t6fZpjUnjp08siDRVAx1I9QSioFEAq4scImyIQAC6BIkgXgMyMDiIm3A8YuQTQUrTBGAwEocujLICg//7UMQQgA0MOx2tYSThxTQjtZSJnU4Latk+dNkivn9Fpj/996a5MyMFUuFBs4soRNBEBOaAmtF2saVihxYXMxvXxjQD+4XKAVjQ6MEQZFkCuQexyjb3DCgfSgKiiIEBACltkaQMa464ktjaHMBhqBMaqVryCzysaTokE2AEWEwYCSJ19RCJy3/M/fro2//T79e2TqdVaS60ZD1LQw7mIs5EaRBcpeFuZnro97nrZS6Scmq/6bde/+37Xuq3ShkY0Of1Z8vcsMEo8yvUsxslUAj/+2DEAQANqaMhrKRM4bA7Y6mQir0QBd21rbJnVEC5oImayPsUKLKjznpwXWxMUhFQLE8EI81kOiLCxXPyrybGZPr//X+mmrbERTJVjq5ZHNdkofXw2R3eyKqtK+p3VnLr71KyJ9v/sif9vSjWVEQdZkRDoh1cVvvkaEqcG3jIu9AwAWBZEmCqoEcl8hWIxxxIMiNXeoQnm9zCmmybroxiHYbpr97X0Mlnq2X+/////R9//oJnaBmgTE6iLdzIe0mJKZMIzEYxXikiLBNb1Umyt16a6//7p2NrsqFSpBistEbvXV6vSYlnWDNc2ZVgwEpdbG2SREwFiQEzmw+oHFkwDKWPtQ7/+2DEDAAOUZ8fTIR1aaw546mAir0z5rtncFV5+NyC3e/6kxSzOP+uTy1+j63y+++SLuSvZgNXkV05NNkvYpu6GyHWXqnug+f5G5nubGWUMmPUuX/hz//O/x97MpVjk3CldMC6774UYElnVc74V/lQHAGlFjSQMWUqwsA3jNQgaEaQQAhLM3VYUxG3UeutQYPbbvb+mtyqa7/n5+5f//ff9coQfeebdh6E+IgiMzRhOmZEgMOqNsyMpW3JR9f/5m6//VWZn1WQlGMjKrs10bnVkd3XaiiCEQrilVUkOAkFQDWtwgwcZHLdmoAA1U7Ro1Y8SRmlbZG1k/QEZHVCWeXzqEqrf5n/+1DEFQANbZ8hrKRM4bcy4/WXlOV3///1//17TF/VrE3Vq5VszX0keNpnZ1MEYjspnte9EmTQ9iqft3uc/J/6UqSZ2dmr2MpGmCsiPY2WlngdCWiC42YWwAQbQJGmVQGSkZyR6kG26FhwgkKBmCN1VkwOBaqn4y2mGN/rEAkFCXHPYnn/////t9bv++1Gqh3oqkMRxRGcyniimZnlsUk92TZ6l6MmirIn+2vX73+3VNkqZCsQZ5LPV/A4j398WwzZFaojKjQ4CAVKNI2yDIgM//tgxAWADl3NH6ykTOmtsqO1lgllUMnmS4JvBQVOEkGTmVrnGQLsnqgYiiOA2n67QfG1a/P/0r///0+330tq6qcin5GkVnmcmelGGkRnQqOUroQhIJrHB9Sqp33t2+3dbm6+jalW61vZzAh5UUp6GJpaysXn7EEppqFq6k5AjAAKcFDSQMWQyG1WGA2bRhhFwELHpgp8QhaACOuW9NYQjhnOLpwVGtmU7/t///9//9exdabkOiKctZZkVVuZzIjEfO1oPO6y7Gkq2t+/v9GW7/ptU+hKX9SjQnvjrE+eWmEv+i3qiJGUYiooSAkhTASNspNhFAlMaqQ2qDAyI4LEpjJnzzPA//tgxA4ADj2fH6ykSyG6uWQ1kI69AByw4kRg+E0O31Hkav/L0r2r////t/1aa52WySrRkWdzXWRlICBlJZkdgiA1rR2WxrnOqkB6T6b6af5k2zrrdkZHXoxlcMQxdzi4kYOzsL1sHwYJIDzAdTKLeGsbiFKQAsnSYAAc+jOUDIgJPsQcpRZ+WoTUWxpnTkEtv7+1Syytv/f5Hy//3/zfZez/4ou44fTynq2IAmKmaZcjEu85Xi2dWJS+3Lsze/Oe/wjNckvQR1GkzsFu9BL8//9T8qYuDnnnHaooKFAFwDSNsjs4jRJSDZhOsIsuRFvMgIUNfxeTIYRnDvZzF8rPf7Mx6T1c//tQxBWADbWdH6yEVeG5NCQ1oArUP9cv///al59+d1tfZuUJVmrSl6kABM2EAgCSKgRBhGPFsUzOqJ+u+tEVvf6ZfQzMRGUm51mCAo4AmAOmKrnhKnjwpeWyUQqALI4hSOZ06YXOAuJoAhacaTpkrTZVLV9Nxz45VSnijZp2/r6leduf/7//5761T1u3vk1fPkIQzcMtAaMcOYxzWksjvZD5JWIluiyedV7fZM/6WVKWVHS1DFaYrhCVIHc77tDXCg0u4JQ3cKhRRUo0jbQEdP/7YMQFAA6Znx+tPElphQckKYekzGfgCigamm4GpXkyNkCSikVGLsPlHyH7dbOxKtE/1GZGaX/m70///q/o/Xv9kffWlFMXRWZFdZt0Y04VS8rlPVSsrB2Y5iKpKWZF9//VLLST/fVUi7bqyMgkhWEMxBTf6r/dflBR5/dgTKyNj1V3trG2SWDtjiTzw7ne4nM14fY82YqDIdmD2sgaHjz52qaFJyjt2K9G9W5L2XyK1LGKuLGRSHygu8YkgZDinCrgHB3NExcD8WV2dz6E0zZ42TCTgiHDxB20OjlHLyLSqGLJCgwkbZCpDIsvIeEifoEItM9TAXoaBYCgfcQ+wyFzn7LDIP/7UMQSAE2Z3x9MMKkhrTRj6ZYVJDDeft/67Wr///Jts+6qqW1VEMh5jPXZJZFVrFckhmMr2d2LzNi9dTPy7LrVe9qd/Rm3vPdmLZ1Yqikp3IyMmjfXqqUeht1EUm6XBGuAiNRtLEy5lxgOASUKCocRHa26FwmWweHzJSO1PpjxSCIxtLK92f2/////V/779HVpcjKzme6oxXc6C6uhS1Z6GM7OuqbSuqkNVEa+v/Ndf29iJrKZWW5rIW2Qg9dzwEplaR0HREgCGwQYCQFMBI3/+2DEA4AM1DsfrDEoYZ6ho7WQCtCyO1bIRJBmgP0MARDiQ0BI43BYLlOhdzIIkVbXVLlE9uuz3//ybS7pFoHj3MB5gcMCAIAiFSQUFwQMip4VDqggKEg3SYau7ex/ZqqUcLCIEXCdoGLCZLlDqzw2ZwAx6liCEIAuAC23EkTAp5E0hSJro8D3awbnMtvsyf5oPYx2OwG/mu95MUj7zWP/3////09Pk6961pmPeEqycjZWM6MUzJODR5c6FRpIuEogJbVyIr6Nx1mbgMcIzhSvUkLnxOcOsWPDI4ODFbDUkgnMNY2ybaR8rAgM/zTpWS2B21KyVj7iqzO23lp+7luFvxl0awv/+2DEFAAOzZ0frJRxocIh4/WijnQBgACPJ9ujf//W+m90pZZW+ci/MPTUP+alXjnnqUjbcwUKV6qpyw12OQHtlltyz/p+Reh3f///7YZH/dhHGK01IHBAd0wsdctNgvGLCgLRipkhKDCRto4bg1LwLjDbGTSAkegcmaIsZTRkKDDc7GMguxyggSm+r2OxEDiXX/+r/T///6dOhxiTT9W9qkSyO+RFcliuhCrJShEcMSXipVA4rcEt9hxKOgcsTiynrPAsFGgwHww7WaWaIuO4ZYs5ICPFBgokSQMdCQYMaeTHYYFArVGUEqJ8jZQz+X4QqmrOJYl3/2pQWKv/4qv/yL//+fP/+1DEGIANGZMdTARV6bAYZDWUlZUjlM8xfVtREMEEeTqCquVFO0FuIwublMzPSjMj9fp3/+n7IuldUUwhPAMgqbv7PA37GQz2pvb7DbEaaKc2FrbJmpAsEwwABQCvy5T+ylSpkUkXI6br9DLJGSDwmxLvLgwkm2+1Wp77///9NGqeX1ZFV0rEr6Vm+fnV0L5Yxj8GmmZ5jXV63b++3b/r6r3//3ZJ/rvA6VkZqIZby/sS+qP/2NTvolHGWgnABY3ECTpiiQNBilU24gwJBRi+//tgxAuADnnLIa0Adqm1NKP1lgldsCj6/DoP833Yev0MjkU9zWEzYpau//v////5fXvP4c7D75G7JOld50fhKdJZma5FfpfZrc9pui0g5Mf0y//PKHXn+dkiycZ7MzMzuTubkJbcTP8o//9+mDt5kwyYsQooFQASNsiF1dZiCDURSajwREP82Je0qYUExlI4olhugqu2Ui4MG6V//////fT2vZ2UqpSY1Blpdcpkd2QZzVryWOh0lRWcTVSgyI3O2na73vVLU+3r8vdbORSqfZUSoj/5c+2qlsd6YPCbEGjSSSnALY2wYaJmygkE3DjWTAQhFw7bZV+Q8yppX8ETZQlsecnN//tgxBMADnGjH6ykTOnEtGO1pgld4hGSt/l////+v7X6MSrUpnWRzuRZbuZCohmcymREDHKCUsxlZEerGo6mI1jlVkdDEr2a+1e//+nqehWl6oSlmKwPsr+//LHWnDFBWzqYyyiQRBRGkiYowZGEAhAZ2CSYOCEySlbosPQKVAeLOkFZ4ellHFnsoQI3fZX//7f///V7aZb7ZTq65dOpjWdqkU2zlo2xES6mV1ZERq2bXfr/VZ29Xe1aMRXR7OiHOc0DLKICBC89/pfr/oW0X24GJ1U1JIolwASNsmQ8X+QXORc15ESCYiSMzUadVmQdDmg4uI1QJbdVKIw+rX5P/////r0///tQxBiATc2jH6ykSyGxuyPplImds2/u3e7rW53Ox0Ozq8rVMJqlSAjpOsqI4xXax6HVXvv69aL3/1TRtrHV7KtzFZykKUMmAmuWMrHySFGVAjR1RdwFMaQAOq0iJkBoQKRKxtcixYm2Rib8eC6yETEM8rHnii3/X51b3////eemqX289ltVUmIVGs1HQxpEocxwYl5olzzMQhC3cyJykq23/T7Ub/v0uryGkczmq51viKvdJURPVr3R8KvjnD1lRNMqUbWttGUGHkI1BVIxg//7YMQIgA4VoyGshLXpurQjtZMJ1U8yKFuK71RPe3Rlf8fSU0Eaid3meNWmldXn+WX/uf//n/bzSMc5aHeJgSWoDgIBIhjEaTT3RI+oSoV+7T9VSzf6XKWmlXvpoizVKiSKVxd3IEFGnt7bv1wOtVg3ijc3UYIUmA2BZEmDGTCxBsHjcJHOLHj3iUi6FaIEfBYd/+OXFnaCAGbj8osIOv9v/////enSuj9m3YivOZXLXU6IclPuUhnJuxHZLMgg0yJ0c93v3d1JpdNbpX0/622Zmq6taWqAj+b/56dqp5AKconAlWm5aiZABa2yDLTJXQ7GimZqwGnIgIHRzQXaivJPtk9oIP/7YMQQgA2VoyGsmEzpwjLj9ZSJnW4EhZH5WiB5sfv///////tV10dy9WdnvzGQrWMireSZkZ7FLXKDIVDu89dFdpmV+1v/q36etm0o12bUx7lqUS/6+zsNX36fjUIaVIRiKJEujaRtkxKzdRBJ4C8E0XDHiUjWKKdM7XM60PdHz4yR2S7Wqozy2/po//777f0/++XX9UZzOW7Q7mzOpzSrUzvYZnrK88hlXRm3KZFa9nYrW9tXVNn/9Wba7Iqm2SVA5AVAjod7v3un6MvW22nQqnjXWyrMBI2yM0GToY2hiwBZlcocqFhESkJLJ1glTP9iERI2PmRLsopHgaK/OX736p/////7UMQZgA3lmx+spEzhtKAj9ZKONP/0L3d9eSu8xUOlDMOQ6cxLXRildSWlXM76XTI7VIlvp/IydP/UqXUqGqhDBGYwYghJ0oZXSxzQcTOidaYwqaUYAkbYMeZUYiLNNIPPVKLSjRTqt82qwjEt8h5/4hWhMC31IPDwAiTb///////X95943nbOPVMwsSdYo8kTqLHQxRqJctMGzgWAww6gyyf2HKLf4rnDbiBkVJsHiZDBDEC54sFg6eQISwbqkeccTuAFskIokaT4ICNrEhX/+2DECIANEQsjrJRzYb+0o/WTCZ2MwVihIWqZIBxWmNOh3r+wBhGL0hv1e1aEBhF8n///////p35S8rZeLSNb7mUHKaqW2IOJWZ+PwaAM4kDGIqQBboTqu0+1AXS4tWAQowbVwqp1QmC8xAa1BW0ipQNI2yWxNYoW/FxxMwuywYGAJaoA4U9jZ4R0GAx5BIav2YIEnZ+rt////6NTX6dNq6UVXVLIW9GIZJZWJUtDnIOrGRnJdWZ0NR2vfaayv0y/Rk2rb+pk6ojpn1S6gisWB/w373avFb5MDnThtW5pHFIABa3CY1aOgsqZlA6iIDUmy0xKEhwaVStPhzUAv9jffqiv0HL/+1DEFAANNSUhrIB04Z20pDWEidTdPMVcv/P/8yPy8/yK0toZmW+fybq+SfHeWRlciUylbPhVtIIK95YSWkqEJbX5R4iGSjXJCaSzzLpOxpKGY4g8WMKCrOJ24CxuAwbNMS5RryH+U3QvLC1sqYoSHbYn/IKd2Kk4JOfUFWRGWv9v6/////19NvXLuRUNelK5zsY6SKs5y0tPLlTSraNVaHJMrd9nZN+en/7a6O6s6lpeRlzj6fAJ9BpDjxCbdLVSRlAFjbCHImcIJmeoicED//tgxAkADQEbH6wUceG6suP1pgktSyWEW0iNFWTtfleM3CrU3BmF9YwSAQR79l/////7dXe5l6pfb3Zb3ypRjWDx66ySEZ0zBGlQnNblhSwhuoZoVFB/986xRJCwVJpKqeLaxUu0OvUhaZpUwxom0DWNshVEKlgCcOQFDtqNZQSQybGqwjgbA2fvJCIwtEi3w7eEzTU+U6///7/9f/alGd3ostdt8hZkHVsx5mMzXWztdFsyvPWZbmulZW3X/TlT96bJq1lMrKZxZVRxULO/3a97WoOnbTOaTUpgMyIq0AWNshbgXWskAgCqWhIlovugpu60BtCcq3TwPjehym7h3GpLJnff//tgxBWADfmjH6wAVqnbPGO1kI6l5/71/vom6/XbqdXdp2ZZL1gykqiF0VBR0Y8mhjnVFNHMpbI7up1tov9ir/Slkd1pS+k5yGJK6NGfXu5eTykUOy37gqthQRNoqwCyNIgIY1AQKkDwBNeXExyCip00G1g1lzvUViGJfMRSXdqZXJ+fiVTnvr////l/+CAyImRdzrTyjrKTFSZSuakbrHql2m9lUsjkfNP89KfC/zP//tyf8/7SkItfOGbRY0hwy3UknU9s/87LkpSd9f4FI6pFRRoyADWNtG+ZsgwcR1NRChhEoQgWIpjIWws6ldi/AepVai31sc4dEhV////+36ar6al5//tQxBoADn2fH6wIc6m7OaP1kAqdJf3b1UjbKwG7UrzcOS0z/oJOja1NWlE5vk9yeL/lr05+c8/yP5vHkhRCJgbFqyVRIUghzZTutwBf7pcIo62HdNhqtBUACRtkGYjSYOMKrAmChYnGQgrvQHK1rBs6jNuzEuVqOe/PHc1TTX9//Tq2rpazSmY+UkuZmMqormIUYEyHd1Z2BoxVccmc4NSuzXPqt/X/Zb/X86NZne1UHdd2M9zB3vexyy0VXtH5v2eevUlFEwYABIkwXJNtUv/7YMQGAA3N5R2sAHTpyZ0kNZQJrSzIA6pDIItoUMQIi1Vzv1FO2ms03JPFub1q7Kau//+/8vnYSr9V6Zkk3Mo9P3+kbU+GTK4uned7xNomV4XWp5/P/vonYf///nD7c071j45+9yxqUeEZ5cn3LztzSLTIJBxLbgqtReu2sjhMAIRkJ8AtMHXUimwVKbdWNtWZtDZxUUIkFTwtW1hwHQs1PLJL0xj7VFUY9P/9F1zEd+/9326rZGRSFd7Od5ARO2Qmzd5fGrs0F7CupoP+t35Xc//1+rMaew41L0q8qULe78sczeW8+1uXyTW1Ii9JdI2yCEEei7R+XnRgms0IZBVAqo9LSf/7YMQNgA9N5x+siHVpx6Cj9ZCOpGd0tnJ8qWZpZ7lzPGfjtLU/MyXhUluio7nEaf+39KbUp7WTrQ/3zjSiaVV9SWmCbTI/exUpv0di1hI6Eespf+X+//3/9/+F99W1jkZS6toyHPOZkb07c7LeXizQj4GqyhhjSllukbYFUhEiCiRocbVRyVrKAWPMBctTFpcE7xgfOnfmRXqazWltS538wRNaITtQjTvo8tf/4Us59OJXvFLV88j2VUUxrESzauTBXsHWJiZI2saUSw5LJRaLQ07+wvYI0IU8JC52ouGF263mC8cBlWk06g7LhY2yATyclA4quG+iDmrQyEpaklHmGrBy+f/7YMQPAE7Jox+shHVpxLKj9ZSJlXe/FTKM95vDtavS7/8tdyNE2///1bmaPKJXiAaYKrsrulXIMZn98GSmHcj7ZEik1JE/Mq8/5OeX5dIj/M/O3/2bJ0OcUSe2RwMfSmG31X754aNo3xULW0RUEUzTsuEALogKAAJgVkWSsUJBo65kWGIKUuGmFX4B4CAFdcnsS4gM7++1d6oxb1////1nZXdL1ejs+zu5kRiNOsLu9Sic9XRiqazJcEiEV6kRVrTrZ+i3R19uTt6H2fPZ4NNHD3/21TX3tzebgiI3YuotVWlW3YWtsmcYQMYAaRh9GkQ4XRYSnW/yh8BM2nOceQAvF0UahP/7UMQTAE2BoSGsJEzhkaDkNYCOrA+OVf0tRHu5dv//+X2rXNM2rLZyIW76WMibUMX0RIRUOzId2L3VWLS7vT2te//2+2r0I1ddXNM5kbB2XvQ1ikSqYwBAFpBsRSk2jAQHvMJQuM5IBYVqQISqW0vCHlTqOOXY1Kfyjdnkk/tq9cy/X7fb///+X/Pzau9GRGJxGhcz7c49STa5naTICyIcjjLCIUT2//nVZ4VcBgkJw1Aq8VMpEQxo/SZAguBjVbnHYzNRha3EDYwFeGANG1L/+2DECACOSZUhrQRV6a4zI/WQjrXGvIhxRfpbtLVHmOJDtGjNvbvWbcvneXKm6W/V5+lzP/f///+cnlM21bTZkbCZFPwHaIVOUAQwySiVGJSMxPyFwdWJe3Me33p6N7sVCOjOzoKnYEgwpKR+178c++cjf31xtpRRSEvRNkKxK6IAXDPEooBVaXBW0iM0ln7YmWX+RXt2vFeXcdXLNa7r+D/////y5NIvk92LSuZqDkRxwKtkdyDaMZsrqtJYsqWeiH/l5yfyZz/v/9z+vqc9lOHrcLBioMat/u3uHf9GxvXfAYy1ak7Rha20gOMydTQwGzUEZqcAJIww8GCOWhCHm0vR64r/+1DEEQCNmZ8hrLxFaZwz5DWQCt2ng1hzBe/v/2f//+3092TMz30RJVVaKpSqdTPNHI7+V7F6pKu5jIiVMi3bZWrf7fbfdtfq6a0lOKR1nQ4kcKK+/9GzdoJ+0+RpV23FHalLW2RGKAtBqMx3BsWXvahLWEQHsmR5Z67tnj8WcZNAveZfYxy3/65//6u6NZmZuwtt3kO53Y5a6klQ9j7Lu1CoiOUysrkRL+2/33b/9KeyVRDPNVy2oQMi/VX8bO3y/BpLbyQ9dEVaTlAEjbIh//tgxASAzcGlH6yEc+mnIyPRgI5thBIQO9OCgWfVrasDA13rQcRCaz2Afyd+3lOQL2ply0QS/a/////3z8fkdCiYMZ6zdNPSAERZojQq3ElYjY6z3GnnYay5T8vz8y17//5/fyOMZxOlVrmR9CYNP+e/06YqtrFdd6BMpttyGCJpij0bdguxEeHEOimCGMOM/aTftUroXI9SPLfrY/SmI9uv////+v9SlnqV5ys/bu51nlsu/c+PE9yZ0MdWjtuYKxHICdzqX/fX9Sf/++//8le47Ei7DYKQFvYt7//l6RyVEu7NmVcjNwAFjbJyGKciFkHQi5C34dLXsrL5QMucRQPa0NMW//tQxBCAC+A7IaywSuGVtGO1kAqdLnfbd9CQL///+eRJ45d4VEZQChIXCyw2WNJOgCJHuacCgRO5pDlfq+/JsMJJnXmAIBxodEjV21SSpegLAShRRRouAASJMGpEKoDqACMOp2AG6ggtriJMPqBtcc6cuuVb+NWb93X18ct//3/Xos71ojVm7sk5WV1V0s9lNaykdFDm767FdUoiTb7u+nVF//+uqtyou6WXOK9JRfVfs3k8WgW7nSpMNxFSAASJIHZS5xAk64Ab3sgQYUhGHP/7UMQLgIyhlR2sAFTpdSJkNZAOpHdln7SI39x+dV325fxtYWO4///7NulomxmLmc1URFLZkaXSVkMxFoaWrWpCoSx2atOY+/t/+X+is2ank6nWhBoEOS/6I8X1vutTq8lrCJVVoHLI2SiQ2DSoUbEYGmRJcQaHW4wBhqRKqkVp9z3LsEZX7mf5flh//f8yPPLzNXh9Pw6k8Qc0NestLJPY47GDJReEd7rTns96ZAxsWdCQeKnQa+KtNvPsOH4aWyqMotmSAASJMgTE6Ii6Zgr/+2DEB4ANcZsdrIBU6aww4/WQCp1gNAeNtl9WPNJka6WUMsywgTstZRFp6te3V/ff/9zM5EVrbfPaUr3ZbLXWp7TO4ZZakLFr2Ss15JUsqvLY7F9+ibJTut/dEuVJZokk53GYl31PDO5UU40U6VaqqoaTUjtoAFjbIUvFpkmBAgEWp43xQJlqsT7LCuq0yxTsvy4yhp1HXpLlz8uc/Ts+zK10fyv1R7KrqjsyM6hXGU5NDNC0Q8/PXKyjO6VkanT/auy/kXsjXnP2FlCCqdbRjv33H7bYPHCIGeiQ+nBDG3bQBI2wDQmu6G8rIzQPFULnSY4wBo7KX9xsNYs01JA3Y738yCP/+1DEFACM9RMfrARzoZ8747GACp3+v/////+sMr1XQgQBbTSNIhpnDLZ2hnc3P+7jmYdIcHE2jCbnDHYzGavQtpQegDw3cMU0o0JGnqi6xYDIeQDLijiac+w4yFANRObzvYefmKXQml64koGwGO9n2f2q09A34575vXP9ddKo1idfVq7XGVzu7MhCOkhFNJUxTWqRE6KVOhGYvu+aunfelP/6/dyujqQrTs5SWCJRtXdEbSyPI0xznsOoArWUxSRygASNsgG4GpA0Q8DxMBWt//tgxAmAjUGZH6yAVOGnMWO1gAqd/goQrcyCNqXqAwNPUTAq1i+633Nayw3//13TSzGTbRLvSZ0O8hF1OVAQiyI4pXIDcGwZX1OjdaJV0pS3t1296fWR069152amKlCAidC7OWUBMVOzLyAQcVLTckSZC9gpUCDOejVcaFkAlMhaTXcd7XWxnmI2aWXutyth2rnrX/176P19auRF5FO9J5KpKtSohXRUllS47grq67OzZzst1qq9Gsh6VN66bEXsMa5UYUdxLeWhzWtfTrPuEbgIpCaJ6XTHE5LQBI2yYo4tqaIAIiA4bTn9GEVZkcm6xlyIPvWWbU8rmXWvGEJACfz///////tQxBeADWmdH6yEceGrGuQ1kA6d/8veisjmiwQztua2zQocMz1TkEqZf/KdQ7CqH8t25/mXy3/P5/25/20zlf39Sb1bCEj9kcUYKm6WjMuAnLXkXMABa3EAVSoM2Eq0m6UTCQgECLTUJUpUi4Ff8pNhfiM9y7vXc8v/58/LmnOuUhF5jOZoZSEdpiQ7pVRn1r23f6tIXnGLZD8Lm29VVm8PD3f9Hq1oBwo5PFyA8Ci3u37OYh/+kgJuu9R0R0pSgASNsiEIS8CGDBFJVGJCXP/7UMQKAM0I5x+sAFTpjbPj0YAKnaTkS7cZPl9KLOldfmEptXt5d5zH///6u6F9ilIzo+l3ey1OrGKhBwh5LYcxkmD0o7RvaDDLSP+b/7/nf/b7ubFYRWqRJRiQ0ib+H2KoibHxNQWP+WRp2JyqagmYVKcKGRZNidSnWmrY2JlrLGCVqzuX6SAdXqmWOWWsv/on7ZtLy3WhKUdks7WaZFdCopqu6rsxrCarbU8yvd7+v9q6l1+/zd05dTHqV0UoYK+dOp/LiJ8VtKX2gSq5VyL/+2DEAYCNUeEhrIBUqaCz5HWQCpyWgDWtwmVUI4AAQUxCZzassLON0XjDEra68nKsB6qQHevXMam8cef//0/286XbVzVU6kITVCuRzshmqrPKrzoU0pLsZzd01sPYit3S6Tfae300677ovqm7B63g0+vrvSV91SjFdQSSSaa6O22SIwokHm5mQuFYl5s4AJDAy40SZuwGGcbkFY0b7yG9nZ7hl/f/21+Te1nba+2dbZjvRUcpCK1TmV0VBDkRmMjEKDQjsh9La6/p7SdadN1pRQaqy2KVGOgeAHHV4o5s4eGrATNNdLdSUoAEjbCgJkelAFph+GnzZVGrhJmFtTZTXyrv7f7/+1DEEACMKQUfrABU4aY0I/WACp3K53lfV3tXHH/73VN+y7NZj2JRbdUSfKqHK49bmQ5UdyQ5gOXg2MATwK8p7eQ+j7VQWNhJh+0CFQuTS9stFCoVS1Nx2NPRtkkGNIKDiHBI0mvH0NEa014LlymrrWpQ06pvch5j3D7mu///6tsk2tXmQquylSzojsZUah4cqOFOk5q0nUhnreytv6yr+q3odf7rejrayHdSK0Q7sGUNHK59NXUrYhxgJ3kfV1WUNxpygASJMAGUxVAhkIVH//tgxAgAjaWjHayAVOmBsuP1gAqdq1XywLgIQJyPzFGgNOs07m2atl5eVM+8r8w/69kr539rmZWIR86raxqKjGIdJinV3W71qXWV6qsrKiI7aFqaSlX0//WvlS1NjHedgWRyFEwE2lEgtBmvMbxp6AcDSWSJSWNsGXZ5mnsbblRBeu0KrURWj15HIkdikee3jLG1+ty79T+//Xy39Ls5M3PqvRGdXciJWV6gxmZ0Y7XQ8xURKrpYqaPXX/5D/+3r6o03KeISGCmerd/BE9vP2QOdpXRJHZIABY2yCTMhCqzsQS69r3JMLFRGnpYwCZzftOipUljy/nhU3n//+/y2d1W+/syT//tAxBkADPmXH6wAVOmSBeO1rCSMq1tVePJuSRiFOh0HWzKZZ0sVC1daWqxXN02T816en7ulmU6v2q1ANuRU/v/qG+oed3C0wtbGSxMpyAASJIAmAKqh0IKiDAwx6TA4jcw5TgKIgoYmYAdlYsDOnSYIL///17EFQZKEIbQZCbBYVJmGHChhAjaI0FCR+bIm3BGNHIjf3u6bU7ZZbQ8bNAYWlT0TTrQksPGSIAeoa9WVSSO3AAX/+2DEAwAM+aMhrABU6Z0yI7WQCp2twkgGVihQUob8pGGxGNCSpfWi0UcS5PQZbpoCgW/jnVzv////TL6TbMS5ncjHMjOr1fexSP2q7aHIc6rLqZ9tDs67Ee23L/b9r7e6pImjOdpEVSFKG5/u5+NuFrcDyxQmkccbbcoAEiTK6TWNQ6GVKYTwYS1NLlE5kEfh5wYOxirSaDUNUvbmUx97//9T1/XrvuYqpe/nNc9VI/rq8yWeqXfkWRr2d7U9bTUZa0d1+nepdMtkKYEdQcqDNB8n4H8UJbYdwxRHy6WQxtJSAARpMmK5qUJLQOE8O6rEKsVVXK2ZAVS1XCMpiNXq2NiJX///+1DEE4ANUDMdrDEooZqyI/WACp3/xMh9jblsBAcUMi4KBFJYMApBkippECEBc+KOMPHIJvmVAB7XsaprnaBcTJOJMAAsCYYDamueNCLoEFDawM4CgUJgZyyRmSAAWNsmjIk4oQCMHdJXFqQhCmQjlXfxpNPlVkOdLBlu/vGrvH9/9n2Xbn/RXyohFd2OjvVeW7zEEK1HKSIZ1LYyl76PO6lkXOqf9v/zTUV96JzIgrbbIgT/1VLtey5Ren4ebap0RyKSgACNsj0TG9bxjiNS//tQxAgADImlH6wAVSmPouP1gAqcY8p9H1abHYZa44rjX5qF9p4Ao7937mq3//psmvLs+6HyIipmIU6Ea5SOciKW8hCA0Y6qy0dt106Nvvtp/3T0dypqRm0QkVU6sG+5LluXrut3/V2aHLJInKABY2wYJPpAaDZ8kNuY8SoTIUvrO44jbWZuKUU9KJ6/vuf1f5/6U/V0+1LdGlRldWVA7S1SQpW22XuxT86AmNvNAqQWSDNtqE+uqu0UaDkyKuAZUkKsSmuScPNNPgBDR9WRy//7YMQBAMzQ/R+sgFThirzj0YAKnFtygASNsAhIEnJzERB4CrmZOgnQ7p6PE4DgS/COP/fqVJF3DtXdz8v//fvvZrPaqujndCuRjkWiK0iWFo7yRjXOAADUD6A0HsOLN7H4D/w2qAI4uPFCA88ZmTewXIJAYu14jIDJFW21aCtCgy5pngY0sgZuXdbo3GpHm4UucTiFNOanu3PmMq/8/+37frkR2uiPdzIp0juiKqW3vqrKm61WY9TPIjK9Cu7s2z6fXr///3qlFQ55mUVZdLLJay1Quhi0ZTqY8LSqlMtikoAFjbJyigLEtkXRJnmWQESiIPo/ShlTwPJnSR2zjPwN3Pme6v/7UMQUAI2V4R+sgFTpjbOkNYAKpH9//W+6XZr3qrWVWotFRaKS5VRS5le7ORjCCIyrUbIfc8tWfS67uv27N293fmVUz21ysEcIlyNvbstE7qj0ZnRiOIXEu67Jo9a3CZXkIGliP5qALEjSK6VinqztUrBKCH3am5+3Lvm/q4Z/z/qzo087OvVzapLdrAjKZmd0R3ySWVDqiEKxHPflc8pmdHf6FW7J09+n5H0o0t5qgwGxiMpfUDJVoZC+F7VXtLaAALHCe0jdw4BBAnKnxKz/+2DECYAM5Z0hrAB1KbC0o/WACpy3K137l7AlswLVkDuyqRROBvx7U7Y///nJ1Ok2SEblt19O/Q266R4WLZP0TpW06UnkZGpwz1u9P7596f///l9/aFflhXPIhVhX/odqnP+KoHMv1ou7JZHJQAJG2RIQqVCeCCB/1HIqSCQgaxKXiZ7JcZFCqSTTMu5h3PG/+v//t9Fd53kY62ejMzKDozIyFcHZbMDIysmR3RWYxiSou5Tvd7p5bl8n6dpbbqq0diMWyqrHM0Io3qLrHYYVIBEFwGMqtclrloAFjbANgKiCXhngnKMl02ZWNoUO3WyL5i8ulsCXYFiNNyt9W5Z//+taNPb/+0DEF4ANZaEfrIBU4Yy747WQCp2q39k6Or3c/vejFR2IZ9Cu4zncxkC2KqTkMrVlfW/2VOQ97W9f26tVFVHexESV2wxwqIx0hvGIYMWH2w/GZJHIwAI0kBHUhlWLIg4hezaCIFOloUrbpLXGzjT9y+niOr3cKmeX//7m+nXuknudmfdUpzav50ZSMys85D6F8jLRL1d/tf6/X+3rv0ZDrszus5FcUf87uW07GVCya7IUVsKqjf/7YMQAgI0tpR2sAHTplzKj9YAKnVkjToAEiTDZjldprKgW1NZWAQOL5NQpW6QA616Iw5ekUzzm/z5V/f/3/+yf99l+ucXP4vV6sm6sedORsmPBx/KMbN2SyKcKf3OdLv9p58L//5/S+/y9I9G71RIJgfd3VLlFhUDXuFffTrmkldjbIMOgSFhDvDulK5cLUzMNddR4GyS/CAonUiUfk17f49rfr/11XTRrN1301I1XWVFPcj75UO7qU552ujDO9HOnKyz7/7fan9rV3NRmZqrZ1ZA5g/qMh+vv37w3NXpk4jwH1ZHZI3KAAI2yDBmNCvSBJHKaQhFCpfQRm8DxS2njsetSC//7UMQQgIwRBx+sAHUhkLFjtYAOpbRc125jd///PvJLZkz8V7YmmOfJSguOpx7Xi1cSOkFh05la1O7ZcpokxuCFSSgwACaJRStA0mkmdiEGx8NGHscUljdsSYBwQUNZBasbAowrSjIm61njRIafjKOQzjO08h5c+nqVN6/4WhlKde5FUb+Z0unzQ7PpeahVvCWT0QyNTbSoX+f5cnfJft////7Ch/JFGe+OgWxG/l9uu1/plzdE5wnildkskoAFjTIDwtlBGaEAdpMFNhNZVB3/+1DEC4AM4NcfrABU6Yeg4/WACpxq0GRd3LkTfqZi/ZDz+Y519fz+j09qc2qmba5s1EEKo59DbcJ18qyzZKOWDd79XJX27/z//VNf/7fsXMnsLMLHmVxIwr6Xs/7qjMeDvIsDFI3VbHIABI2wAMDsm6KbC71YUoCArY5Ni2RpcZpYYgXKj+d5d+5zDf/7//PLWlK8vdlRWO7IxSIprrK74uREZIkgSEpYwp9dg2qqlf0vsFCiX0CJoDJAEUdS8MIjnBxCh7g9TUjjkgAEaTLc//tgxASADPWfHawAVOmQM6P1kAqcpAw1o5rEz1eiVCfzv7ghuclwl8LuWKSQ/vueWeuf/87Lf95uurSKrIcra0slmqyO+iamnqUinq2yGleV1sQ9/V7KsP/1RUmZ8qVIZ3OkrKDKAkP37P7F5nuKprhXySySWxyYACxtlFUyjW4BYU6CkQ3yZ0k+8Fx4IDv2pyKfIaSd/Xcd3t///6UNS9iXWjoZEq9NqGaedi3S7padHrF0ZmVrtIz79PvSn9H/2Z6VamxsZXVEmYdhdlSeHDQvEAkgcwDqcckjkoAEbTBeVBIhGIUBHUF31Q6pyPrWgCXw9do43njMWf19ypay//7/5V/a//tAxBaAjOklHawAVOmQPSP1kAqcjUom51qZCSOqs4PMRGoTaQKhIkrIhWsaYTs7s3efafLf3//53p9+QHXf9sqyYvVrNPOW5E+SqAerueSXSSyRpkQIg4pWlKgFnhCcVUwAQbNsIMjUisRWOYyKOVe/zPPH///+i69UQv0KnrQiVRpGOiXIt0Y6NqdjumTWqsQ71Zq/9/pf/T3PqskiVMxHIeVtnei7/ZXlNcr6qVjOzgmqssb/+2DEAQAMgaUfrABU6Y28Y7WACp3ksgAFjbKFpjm7wVGD/AJc0sMuiQVJU+1P8ajuEuiW+7/HmWv//2rrSruq0V+pzfacmzTakRpmV8hnJOCbPJI1eqqtP0v7LyP/R9lSdUkMl2spD1Y1Beh1Wv/6nFETd+2jjHFI5ZKABIkgDUUDK2SkYXBe5NtOuX5P85VLXdlyq1iat9325lV3//0/XdnXMZSzUzH2VmauuR2Op1eQjPBK62ZSujm5ty+n/p2/9f2T63ely50OqRN6Pd6ItdhzmqhVqquDNTVy1uSzAASNsloiUDOlKDtkMK0NXDyZXY1D0YyiUC8nZVP91+e7mtf/7G3/+0DEFQCMSP8frABU4ZYiY7WACpyp+VlZbXrUhlMShdGR6IyMkmeKKKNkYqL2QLHekhca58q4a0oQAIoBjB8QDwcBHG7yFChjGF0C5V1ySOOxJhA5YVDEwiD9pWtuqsv6TTL7QuWfHZFu7NT/dfjqvz//+tG1TdeZ0spqKZCMbRd3EWZiTvRyHnZKA2oIUAjZUMlAkoLxJQAgN/X3vPJMOBwHw6DTZE6KC5Ig6XPuNFQkNZZLI//7YMQBgIz9ix+sAFThljzj9ZAKnLYABY2yDxgYKaQMOYTF8WhrLRFi83EH/pcaCQfP4Sfv8uZ4f//7WbedKqxi+zIeoPfYhVVSoRgqBAVWOdLu6KcqzOl7kuqHO6M1vt6X6p/2+xnfkcwIcgc0cKY+4m2B1JAqKAba5LZLJI2wFwU7nfXmBxE6U8nMQHSiZfx25nUBv3h3Cj7v88c///9fRH3p2pq5rKRW0IoNBmeqT3ZzZDOymUrIhQFVaxUMWzOQ9PXP9dv9dv9VfI6SynVFM7T+2b0WmYiKqJMykBUKUkbrcgAEiTLLVxJ8DBg4LrqiWCYjM6ijl2r8olHcMbXd/jlh///7QMQSgIypBR2sAHTpgDMjsYAKnf/P7zyv3PL/qNoR6lywpaX35JtnYKUioKBv23wmcL5vtrmX3+3W+//+JSk4r8MAxpTR4w2zrFMM+dMwswftv/YacbclfWKADIZXmTyUKVqZm0qXUEsn5djG5Llhdnu6+5d7////7r02Wfmo3QjbnqpUrqXe73Q+98hqqhSIXWl9av0yF3b2+1q1qqLVWIHRSlEXGOK+rGZtrjrjhdEUieIq//tgxAAAS6QrHafB4iGQtGO1kAqdUljk0gAAiSAcB7NwQMAkBSB5klF1VMCRRNNGRTVovqocXDH////aJgfE44Igs0lRgVp8OXxYRMU1RMy+lxBL8MeYGinyQZMxcQLHIrCgLgcSh4wpC8JnzlwNQwVPJyORuQACJoNEtMlFyVTLfYUz6fmos/1PnRy3fa+X/+Pcv///XZaM7UarO7glKiFpTqhzklOinU97sskrNNShHZyMtEerd//1ZS/p9VXPXZSUVNUIRUDgl3SzR0907BHVgiSK6iqOVy2SgASJMsvBgYdWkIjqPM3ZW3WplFnKvZyGFZdr5fv9Y4/v//032K/1laiF//tAxBcADDGfH6wAVOmhM6Q1kA6dPVmNLrT90bqi+x0e70t1ztRL7+mul3T0ruqZVZrn0rcIjkcwGGHave18dbNdQjNDkpg2aS6yXWgAWxwoer9bZ4A0dKhvnJUamd00WpNS6DsPobn7/etf///+jf5cf3ZvM0t3enhDe0kJY/MnkJ51SI30RISGRd1t3QspENC/8/O2k///n+ZZfOk956WxQ8C3fTrv9X559by0saqeltktsoD/+1DEAoCL1Z0hqABU4XMzY7WACqUFrbQXUhbokQjhjwNzCBCsCvl4xMB7NFk6RN2OoN1r/+vv7kvs6sc18s+qWdjuxkJnd3ZbIhHKzIU7+Y6LvV0////9mJpd2bK5EmdGLEA0di1bw3aXSq4kgTuRUyySJMq2qbu5DQ/wt52nR4kH4Q/S8hp/O8q2Oa/WGt//qu5OUh27V2V2dmexsxDFS5SPTUzmMzsq3exLqn9WffXe71/3/MtVZDtsewcXMC8r5lXa9Hf9qbuQlLUtJlyS//tgxAIADKHlG4eAdOmOPOQ1kAqcAH1B7J87xHEiSiCnR63/oo4NlKu67lm1/necf//7P5n/l5U8vuR5m7Z0Shu58CO9U4/3nFW5GSuWevbkcz///n/LP8yyz52tZ5Qm9CM90kKiEZtaX9OK5uSW7SvfY6QMm7dZLbcABa3CMlEoDwNDBayPUHNia5rDKH8uzUq3f3e5v944f///3/aQ9msmaEe9iJVCVMrOVDkVGstGdGMRhjUYzpuy5LL31Vby0kf6fffs2yaTqyozHCtRl7MvK/tSD9KODpVS2NyygASNsjfJYgohCCUC5oWwd4yZ5A2NzZimXVKTLTalP6/+s3StSs1E//tAxBWADB3dH6iAVOmFMSR1gAqcR5zXojotnPd0RTIxlCAa30cxItznqVxTgvnqq/2m2K3/pTK/L9srCnGZH3tzZOR+qUd5FHe1JrptrgANZIl1qq0lKR5TCgSAWoSPO1Fp/CORbC9q9z/3vm///rb7oj7bVqzs+ivZGR8hlRZXY7EO5VW1NdyIk5GJZyOSXRNem1l/71V0siqzEGa+HAGaO6o5A/N1C4uPDip2yK2WgAWNskr/+1DEBICMcZsfp4B06XmzJDUwCp3ThTgygFMMJAIgxnmbIc/yxtGa418fVN4/5f/86lUsv4d7Je0u/2nf0q3exmqA8k+xetKd/ZHOkXlnPz/8uFL/l/6HtMuUyIVvToEshho8H8r529zEYhP2T2lo7ZbZdG4RGYgsSxiCMYzQqJbGROmJcIsg5cK6boI9To//Ktf9b6zWa1Fczs5T3ZjmRkLRDkyWOs55LkXJVyXRL6o6cnR0r//TZLSVQpVSMM9RI1wzdeyvtTc7E5WLLU3G//tQxAEAi9HLHaeAVOlmtCP1MAqkonKABIkgyErhE/MhYKVInVCzEZnmL0+6a/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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/1-piano/48.mp3": /*!************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/1-piano/48.mp3 ***! \************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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") 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") 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/10-clarinet/60.mp3": /*!****************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/10-clarinet/60.mp3 ***! \****************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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") /***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/11-saxophone/36.mp3": /*!*****************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/11-saxophone/36.mp3 ***! \*****************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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") 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") 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/12-flute/72.mp3": /*!*************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/12-flute/72.mp3 ***! \*************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/13-wooden-flute/60.mp3": /*!********************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/13-wooden-flute/60.mp3 ***! \********************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/13-wooden-flute/72.mp3": /*!********************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/13-wooden-flute/72.mp3 ***! \********************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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") 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") 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") 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") 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7r//+xnZQmso3//////TO2lyDYAGQBOBIniqBgNHU3hq40qEtwIwBkQjAy8oK04sgNjWFmDfwS1c1HQzgp5cSCF3ztaXalt2+mBdSnOv9Ey//7Cm1P///////9o9qGlwASAI2EOIwAZTBV5v/7UMQGAAtkXSese2AhUwvl9dy05AXBRGm8Y6asQBgWFBBzmNEoEYmBsSIAExnLBxC15fKOEchK67dZu8JtS5ujh01+Yx1N95K6lT8P3KWzi3K///0jqbEsLPc///////+1rfUgEwBamuP5AnYAQEGCYRnzpmA4h0KEo0+GHwwZQkZgcDmlFcHV1WwxL2Ue40lF1D2EU+qP5AcgOlNMfAOhQZ/+q1NlNDgL9VKxh1pZlXr/////sU0YQFACli0A9AYVAUWBYWCE9YNYm6olAJj/+0DEC4AJ8GExrunjIUQLpn3cPJyLC5cn4BAvGjCOs3BcmAaM/Z9eAhsaGX0vVdzQ/WJhDo2fj0jFLN///svfjEVddaf/////+vaUQUQCgwAVQnOB8BDFcJDBAETAkIjqdozFcChYBTvNKCXMSF5SJ/TnceKm2CediQ2NSA93VjcK4t4D9w0x09P8N5IQv///6qN8aILGq///////tspg+gOJNsDgBoSwaBwAEE34kA8CUHg9Ev/7MMQLgAi4XTOu5SMhOYvmNdy8ZGjd1YoZRJn3MS9OMUCJChRiqeKMZSAOZKM3k6HqR8v+hDr////1f///////V75BBTALSu4D2gBcBAoCoqLRoDfZk1CgIgaTzVSRCNE2H3CMThGpCVcU54KEnuLwzFk7ccr99Hh3n331dvFf8thZRw9//+tM3a5Uh+u+pKf3VYH2Ac3NgPgIYP/7QMQEgAnwYzWu5eMhQYvmddywbGgiMBEVBFMt44N2cKAEIxvARMhBGBs5QY4yTDmwQELjk8P6GvmveRXLe2+fvVBbxHna/6bGqwvdf///DtlnbT//////9yqmFcBKQ5wPqGJCEFQPMAg8N4ovPpItmYRgwCkInoYRcw8ZDm/r7MqZ/EbBrlSmRpzI77AseP6anZo1M3bEc4b//6fei36+vXSz3f///6+WYlZARgCNBMfWBCQl//tAxAUACqBfL67lJaEcDCY13LBkA4CDBMGT0GDAUQ6LBhogaR/xCCdolqLBlBMnJo6rW+UWpM7iwLqUVg+tiCLODf0o+aUIRYBq///b98W91inxSMR6P////b7Xt//oQFYAgBVA9oDA1JEQQnfRbk9qrzQdEI7Zk4Q0iMt2CuDkaGo8HoQr3LthtlOc5h29StnMZ9frfDpt///9SOO9O2tmgtYlUwqA5ACAFQDihjQvGBQDmAb/+0DEB4AJRF8zruFlITQNZjXcIKQNHM5Ag4bk+TLUmM9yMxnPqOgFqoa0dVoUH0RF3KDH2LOPHZkhemtW47xpNWf//31//20eh3d////2daC7AEICoHoDBwVgkBjAAOTiJaDEQFS1x8+C1QKg2axQ/EwBtb9SPL9ILD+JAYCMOcueJnwbs4h2uZrg+lMiGf//2V+zt3Df/////+zJVYLqAMgFAOKIY1CAEEIyPDfefOHQMITHUf/7MMQMAAogZTOuaQPhNgumdcykbACHuSLASJLOvsFDTNsWec697oUm25UW+B+JZ1DexsOakQaCTMxIR//+vuM//3/7f//6tTJgH3VonmJlAqjXAPgIg+QBAlHplnSGjyIBiqUQhRdHYAisWlACCVonlHG/A8Cl1YLHq833EfcUk0qoYxGpTSRh3///7buMqMI/////0cP9w4BBJf/7UMQAAAosXzPuYMWhR4xnPcwkfCA1QQGVJRgfUNj5fcCDI7BXTIAcLXhaSgrpCgkwq0lKv4zyPNSaaw51IxL2vyWB+ek5yaYkzUdEyu5W4bgh//+zZt17xV73C/7W////9yN6suwC7sJwqy8Afig4xmCAMDQadbPQf9mh3aNkL/tKFhvhaRoU/Lay3mxy+lmesLtaVIVJqQVpOOu6qboKE4XQErP////10ZK4pejr///+zoZShMVVIEoApII40YI0CYYCwYKJ/MZQnBIhxkH/+0DEC4AKoF0rrukjYWwNpXXcJJx4QDQofYaHTLwAFwui7SM2ZBQNr4DASZVE4tMTJxBg15FrxhvOwaKuoX//x70tuvNK1rXo9un/////fU//6mBQAUABOLGEYXhIYSB2YPkMePyqYiggXZBTzGOkSnHh1oyZ9kQRMNDh0RkV80gnCRmIs+gDXeLxqEP6AxCQhz8abR//3fbY6CU+qdZv////+pg5rw8JHMWz/+9B8gONuMD6iP/7QMQEAAnMXTOuZMPhRwvmNcy8ZEgDGQoIjKZY2wM3JRizhikUoqKnnnQhQlv4cl7eXLj80+m63qzlPidyTdClD5X/1Bv//91+BHiSq16qd//////TIG2IGF1MHCg1Mzge0MMFRgMOmAi0eY252IIpgzhTOBCweZYEjlQgUdapP5k8zPLWfSahwn8Kf2x90fd9J/iGU8dv///Uo2ndlGdCTOpAp7v///9aRe8MKoBAQoykh/RG//tAxAQACkBdL67gxWE8i+Y13CSkUFuChAMGwTOwz2DB7RICNiTJSS5CCRvgKEnhPrEg6niNvhEoA0+B63mk/kib5UfoD//+u21yQ6MsTWqoM3nf/9v//02xuBxupR1g4ACtl0D2ho1mBoCGBwWnHw+A4iUIj0ld0mIDk0KklLG6HBn04kiES8VW2VzrUahVeuUb6TvOQkz//9Vl+3fXazFAglh3qv////ezSvFF1WBKMBVnb7D/+0DEA4AJXF057eUjYUaJ5TXdMGQD8UHHxghGIx48evOk5CSCskIZwqDq0/aTAalIV5NWRE5L6gfyL0EUWWziHj8fKPkiQu////6fTRA+GbNv////51Vj3IOAA2v7DVsEwXAcLgsKC2Y9ToZKOOiiEyIQEySBx5TfbgBWilh2FxoQngsohhsj/FA+9GPu8zMIEVyAaKnv//G+/RZ329Adv/////X+q1f9WWVCQAZrDgCtggIfh//7MMQFgIksPSmu6YMhFgemfcwwpEBxAGRoFNpqqgJEpEDQKQJ2iTzClMOlRpXFka2bEH5Oo58rANeblhL///16VPp/SEL7uPud3////Umx6Eo9KAsuAIrN9RCITjgIIQ2b/hxkUXllBDgEwVOKGIq2KcGBaHAlC0KCWI9SB+i1ojW/////0/ahdovC+/27P///qSYsYEQ8LiAiQf/7YMQBgAnMWyeu6KPhyTMj9e3IfK1/wKwCyIQgKYKCwfBN6bYUj+FgzQn2IBgqLn2xBaEtbGPtOopBTa+gb/sQBm/U6K5CmFCH//97LVo17GKCDxv//////7w0S0X83QAEQBIZeGCADAVADMAYAgwQwezdxCqOlDQg8BxeCihK8LhQoNQPCAxiKDGD26rgceUP5JtvWwCDT50yR9eGXDVFg+eYiAYAbn2/////VV//9+qzWdT9VTK/+/+v/X/////9Vkfsz16KCZ8QmE4pjHtYTGUDAIFuAgACYH8aBCMFgBE6gD8D8AMWYzMhcyMLYUSERmxKwwqgIAqS08tmULaetE52UP/7QMQZAA75nRtPbiOpWIulNd08ZCRND5cGj9WFoxEUjQG2xkNUA0AZhXU3////+31e36v+6q6t1/1/XX/V/////19S7V61WU651S2UjTPpCr2o5gnOeXwAK8SBGBNv+gK2EAg6MAADMEQ+Pt6tOGGSRDicAOelUNT56mMMOSaRpsLb9L01RIDNu7chYGSr/er7vn23X5YWT///uuo9zoqu1zqRZNbf///tT6GmktIf0AA2A5L///tQxAKADGhfI6x7QCFti6S17LxkAIiAOlANDAeC1M/5TQ7C0wIAaMuUsVHUzhZ3WeGNfCwSncCRO5FX6oo5DE5jcjTF5xmbEkJjZkMC5EKr5YczzqQC1nn//6VXWt2IWlW9/uss////90a9CRovyZ/5CkgKANE94WJAhwLQoBGAQoDFXUrNWYvqSrNfUWb4w4XijJi8pqpBvX9OLDjK4cp7RXO0E1AoAaAKBILSs/7J+/Zn//7e9bbed/R4qLs7VUf//s7swiow8Y9v41FVR//7QMQAgAosXSVPZSMhQQrk9dyYdAGADgRoADA1kIEQJCtMf9Rw7+wQUgGNoSCU/TJogmXGkaRHsg61XFRxksTOZ2X1BSy/5f/u/i3///rlpo7vZfsW1xPvSjo////1JVYt/7F9KAZANIJ4FaBMQwGAIOmCw2Hynun8kXHLYBYWCkdD4TgSGiTZrVPAEVf2VPvx5JGN0IMmaCPzCH6Pkf//lpGatQ3o3f3v7f///tXXYq4w0zxq//tAxAAACWhNK67lhOFRC2U17RhsICgCjLPA0AQ8F5egwdCs95hgIIdIAAihAC9y8ZXzJ5weDUQNlQH4lRAYrpm3tHanDLa1HT3z2n///cxor0trFkKak5//////duPF0A4AGgVwK2EYD4AY0BEYDACZoYCGldYrAmEMqKpwIDTgFnNj4WSwPcm3WDHAqJJIBH7E8kyLBSXEkPv7kwz//9SrP/W+L6NH1f//9yLSCyNweJ/++kP/+1DEAIALAF8lT2kjYUeL5j3MLJwA5A4ESBAQSRgDAEmBKCkaeoip5wgkRAJcOPtsIxghi0ESMMMJgVhor6EQ2jI3B8aksw3bDq1T84Nw//SV3//+6AHxF7KpCMfcimns///q7k463VRs6OhAJiABgyNoHtEKxGYDDBgITntI4YwBaYRqaaQXklz2KB6QVBAkkULAjhWDzYIEQPwek1pWjvjeao/wajs///9C6+6Rp4k10W6v///Od2XW1qBJglQA2imA9AYGIwEC46MDd9vO//tAxAkACThfMa5lY6FLC+W1zKB8vILCkLCAeDkjSLiDs0Q5DvGEyOLxulPiiTD0quRTq7rxsJZI/0yT///47nmdbSkn//////+xtCYHQA5EjxxIGYdCY6LBGTzIP6MXMREEqwVGiydwWDqSsu638QbE7tJPyb6Jo8spFsxR1yDi5A/0f1Ov/9P/+7MrtPvjH32NFbf//9V9z3MvWUDxpUYB0A4FaBBQXBcFzBQejoahThIiyYr/+0DECwBKFFUnTukjYViLpPXcGKwOVLBiBASTQuCBhBKtvVXTHidHFN2JuMThLjBN5R8yB9T///3GJwZHLeKAduxLvood////63Xsft6fWgGwDCiOARBsYGAUYUiafsrAAi7GgMObx9CkxGYeHL7JEdPCXx6Ly6HIEn3gFmMCUdIYtD8C9VX8Bv//9yir4yWAD1nomGMa2hK6mN////oqRcuxH+qlQFoEraXH9gbxhwJDwanaxf/7QMQIAApIXS2u5OPhNAnlNd0wZDC/qeRpYhAauFYyIOgoRgunchlkDTkCNmzr34xpgo+ephDFeNePEP/+1dtbLXPqRYlSCTmCNIr/v///2VzCVDTVIxA0ABhI8CsBA4KjBAIzCEijs+QTuogENW8YUXQKplAeH40W4aFQJ7ll1W1FCtozC/Zt8kk8sQ3ZvlCX//+1q6vs4///////QPUlLgKAFUHwAYwFwNGECQHCoUCpSheb//tAxAiACchVK67gxWFcCeT13TBkjAUWxwGBzhjVQipxOdHUEYnkrujF6WfqRMKIEUXjfmlIRtHbHJQ3//+1b9cWje69XrT////9tW8QDUHBx0gQAGtgcCtAhAXGAILmEhNHnVGnMMA4WCEQjGrUGVo1ejFKFyLitAghFxelMzpta9CWfzPYa/7Qsgucvd//5hrNC02uXGbXuIej////+LrzICLA1/XvaxVBAJAOBEQDA9AEKwH/+1DEBgALMF0jT20jYWIKZPXdJGyDBBAMNVERQbJygtBwePALJSVVGmaZrgYFVfHFDmKAp4oUCJCyncYpZsGv6RdNb9Ga//+ipKtohMTrdbEs3+j////xRybzBVV9yPTk0NYGAAyffArYJhyDJgyGRg4RJ5osxzBZeo2xNIdfpUdkSafgwgKSr25tWNACYh0jXgqzcRLdIMkC0ehi4P///a6m65i6BqWVkerrS3///+mljnMtCAto/K2LQcAE1nfArYIcRQ4DYIIw1BiU2MIE//tAxAqACrRNJ67pY2FACaU1zLRkEUqhAFcwccoVavIVsdp1itNHWPJb07nUbj2NToL6KwpZlv//9t6EmURyb0vKiwo0VRe+23///1UMTA1FZn/nHUATCC3vXjWMIoF7IDAIRM49I19QYEI7bbyklKBJ7KcUNfs8sPaabeqo2sQqzFzANhC6f/r9Xv3VAQUalw8Ik2sFvR7f//6pmZoVvKFBjP280iJQAYNZwIkCDhqYCVQSNPr/+0DECAAJ3FslruWjIWQLpHXcvGQtNzQChhggcOxwUpFiLMuBhS/pED2gv+6aKVGYUwriim45KxgyP//+vSmz9bOLJotv///+iKOcyTUoBj/019RBoALux4DSIBwtiAAjA8czmeOjrVRMAQwVGfUYZHxKWYApyzH7cU2ab//p0yxVJAmtYj6hpN/vvfl9Mf///R+19vsfF1JCzY/Fhfo///1qmybpNdFGotNbmSAlQgRmnPgVsP/7QMQEgAr0Tyfu6wIhLwolNdyobIeEsKgeYHCUdzI6dYoDhZi0iOxAUuC4yiOjL352rK/TpTmff/98aqiLxs8h7ur2pEKXv///cR2FB8JdAz5KrvpVd///empxuDBEy9RH63sCQB0b4AWMISIoHAQYFguePgyG3qgEjwwRnZUDXRnmrC38gemEDMTU/3klyKgDRKrv///pzORSNRLrocQMOqIEyv///68/qXFqGf0qYFxDo/gA//tQxAMACXBLJ67hRSF3iuR17UhsrQRQOQGCIoC0+waAaJ0mAI6BDjoBARQnzRXCV0Qm6jek5K//CoD51TSot///+9W86y+21SGZj////6/KBMoOJreJdv5GtAVAOD7gCJAGCSAIYDgCpgWguGhOcuc8cJDQyMla04ZCGLAyKlLJq0vPKHyN01/6hdBacqYpHAMKHadcwb//+paLdB23OhJbnWixwHo2m63///7eCj2m0har248iPXVhWgXDbgCthGDILgEKjAYYTh7ajvKwCP/7QMQLgAtsVSeu6gOhVYqlNdy8ZCHiKGTPVzDADGViIW69W43stf9/5H9k3UtGUqgdGqbB87///9tSxVCpyb0JVbEC4xw1glclP//81RYHaQ+bhkNi/+p1qCiAe37AGjCCBGGAVCwzFTTzTkEQYjYTfkjChQHdYRBPMwvGhuQ9DHKmb4U5Zo9u1/5ayvcfvv//9nF1Q0mgKDnC9HnlVzSP///0yqT4uth94d/s9bEwNlAUeZ8A//tAxAOACqBNLe7l4uFJiiW13TxkHsDHhLIQUEYhmotAHfWOAA4s0hGZjIIKKvwAbSAZ0UPOalV0XAMUZ0pIAWpKRi79719D8O///9ypIVURSi26oRkFne9jEq7f///9p7SVYV4Dt14H1gYKDYKgWYCBccVRKcAoXTLsCgkuI8Q8hnK6T87qChUSE6hM0+vbGPv8/InuP56cn//9baHK217ACkWGQnNSzJo3s///+xVLV0CNYur/+1DEAAAKUFMp7uni4WgLZTXcPJQgFFACRoc4FgCHgvCAMMEwVPd3qAbMaEGLGg4Il2r8DU4euUqblZEqyxkfP9QLZSQkYm5lv7O4n5k4VP3f//3/lcBpMNdLf////7E7GQ09eJ/+hARgOSmcaxtA4Bw4CgMIJ8sYY0QqMRqeyNoIwE4UpV0CGeLlDzLfTvWFzlP96+T6Os/i7zF+BzTK/f+FAf//oY1/zwrI0MTbMsTTR/OZz///QctFRrxqge/+ikBiAqmjxrGEAg2AwGmC//tAxAcACnhbKa7lYyFpi6T13KRkIXHlpfgd5JEywQNfClZgAzSbWHg6gpBokURRuNnpLG5PJzf4fKZLTS/1T3//Wzd623pafOMefN++p2z///6lzAfDajDYhIFQAZTfArbSkwqAhgQIZ3A5R4DphGQeZY0gUrPsBvrKCGB0wfJKMFE5LeSlIGv6gasVAY1Fn9onP///o1R73Cy2PQZXKbizDYuoRziyVX/R/t0oPhMWB4bZ9lX/+1DEAAAMOF0hTukjYVILpLXcpGSHAMCeBEQAcLxgIFYhJA6N301LIUDipgQg2aiIOdIg1l/goMYlVlazSo4Tnm0Y8pbZn2lyOXsm5B/+gDj///KNFKqA0piy4+wc9ajde9nu///9DRo/DDkkCR9Lehh9zBiIkQUIBhgPAjQJgWBYhBYZHkwXrwG7lQZBAXykaIRiHv5il89jYKBxhAZTVtFFm/02fHfwrqL/9EYd///LZLRIJNrsU0UIlvoT///6t66CKxWCRh3+ipVh1gKN//tQxAIAC1BTJ67pI2F3C2S13TxM18CxhGC4CEIOgQbDcCIzqPjDiRhEtFsRCGDmV+ZJQNmozBqAOEz7TJELvlpIBz1mnAWQWjw9///qpsUMUMLLU90wvRA4oz3//+m+hlCXINiLEn+31PmiA00GJlwI0CPAWDAEMIxlPWWOOWFDghiwI0QIOJOAbPWMH6KuiSVKsVjqW8LeGFIu2ovSV/fVsabp4uf+/Z///n3MXqSqfe0molKkH3d9H///cO1k54SFC6rXWbKrFSAqASVTwP/7UMQDAArYTyWu4SThbwtk9d0kbK0CGAeRAWYeAQf+EYPGCUAcYCp1oDBxYcPcoKgpiA0Da0G14N4kI7fq75arcCSIMyzf//6UloVOt3HmIqSxmgr3////6dTCTg5Vy9qtAshWbgGQJrdfArYRkCCRhQG5hSMh4K/ZzRhb0eZF7apCDEg05KU63M3Xe5VGJRJpdpIRso54+EEvYajyD+ydn///pJ2wMulbkOwBcLs0f//+jS8EhKbELBQiAyHp3L6lIFABSSXAiQJhyCJgCGD/+1DEBwALwF8jruWDIUgKpKncJJwEQkz66AyswqMJAmWNFRVErDltVBDFzgoFptUeReU3IW2CbGwnsBdGd1B22HXTq53f//19N2ok1W+rmt76zzP//7ndjRUeOKlxMAHadsZxi8MC1I4EaBMjQMMEQ/MFDEPCrRMRgiLNmCyq7BCXo9KU1lgIUsCSMbiFc9C1xx2zYkQbGBT/oaf//6Wp/sS8+rb9diKv//9CNmaQkJiFzf5bb4+AYV3SXgD6iES/Hg6JA8/acB89VgCrElKU//tAxAyACexPMa5l4qFgieV13LBshFBYJGAJMmrFQcloyegVvEy2RNeVl8an5T6ee///+mphyRcSCjexyybkbNP///tZZFHCwiVDLAgBdU/A+kDMVwFMFQeMDBlOYkAPANHIBIq3QcVVUWN3U371I1tTgkGUKy/KXC1d/04ZWqhzgGYHf/9SUXZnoHWirS8+u2lGkcbJv1f//5G+KhyZELVA8NVB0CvufAD2yBhqGAWIyYanl5n/+0DECQAJ0E8vrmXioVOJpXXMrGxwIgjIEmkBVHBKZcwsRRxTBTU1onzZ1rwHL6ctem2oc0X///7Vxtr1MUvZqE2NYQ0CP6P//qQdxiEpLMFIJQD7H6ANIGJPYAA4wOHzYtwPvExAgKWFgp0qHk0HaibVRwG8iheQA41Vkj0t8oIzdSngNmf///ryqSzFdEXsNLPUVKmB4j///3XT5N7grMCMv/6tSmLwFuH8B9IGPJdd65Tj0f/7QMQHgAmATSuuYWThRQnlNc0sZFMsBQIC41QHWkBIEm7e9U8HDcDwei1N8f6p77Gm8rlgOQ5//8t7c5ZGXM72WNtGMvaYs///nvvlofSHxCxjYgTj9gCyNCRybgKhE7K5j8owEoLzFUFdVRJkuGawM/RBBc8v/+2a21cmlqAs3////RA6Xrjw0PQCqcNLeHhyrtsp///TUYNNBK8kbd+/S/rqgm4WwHwA9gYCDRfcEBg7gYzh//swxAkACOBPLa5pQ2EkiiX9zBykCEwwsIfNmCYCTONxPSRU88p9E//zmIwH7///+97HyY5rHuDNsaYc9dmbpv////stuMB8JBpAOFNJYA/AHtESiTAAoBPKh0HI9KAN2CyNfReRgwvKDNAkSSsDN//1qACS///+WxR8VQBE2x1LkK5NoCuHGP//2ePkzTBaJhQKVSBgRqBuABG0//tAxAQACZhPJ67kQ2FAiiR13UB0zVZ4EAM7iWYjpUKA4JMVkxhUOqqs9WWN1eQp//+6Ag7f////XVUcLNACgsUesbEjmy/DFif55v9NQiDELBZorMf0J7ewA1FTATgWJAxwLACYFikej3qdsYDgocaQpiyHIOD6tpmLOhE/nKHxc7H/9VYNpk8h//+QarWInRqXf7raGuZ0f//+mXbbMWEDpD78zS4MrioARkXAbgCIghwApgD/+1DEBgAM0aEhr2ZDoTkJpXXcnGxgGGA4EKZHiHR3Ol4i5Kd1OMgICruAyFUceAVaIo3VzM//eRrwB4NCrb//////+1W7X7de6r69Nuj+pP2///////V/VVfqUttnUkpBOZJGSDtcw5TsMkBRhMGWJu3th6ANYGnoVQPFQyCkumL0KCkqhYBf4ZCGQ71VDODqZ/EsB01tX/49QAo7///1bSSDYhvoOAdLirlEC3Dulr////rQfai4xCrf/VauQEIW3+4GzjbcyQBgqJ5rnTRj//tQxAkAi32fKa7gQ+FjiiS13LxcG3BU5dCStLDhW7CesnvNGa/Z/n7bu63OynQp6gyJ//////3TbR2V1+3/2++1m6a1TZb7fd2X///te/933pYhWqrSKpFQUc/93zaAtAe/jQKBMGgGYECYeEXydhCdZfALHoOKgHvJBGEgtlmJsqMb2QMuYWEu9eiTSGl2Xz4AuMt////p61Nn0HCrFpEvIfFtn///vJPYLqKtAQNhbs7EvKcQqkA4FdP/wImCECukgYMhafawoDiHQsMqUv/7YMQMAAuYWyWu4gWh4LRkNe00bCENy/Z/S+csT6ajah1ll/me5iVLd66SDj+Fpqx9hgloDffrN3f//o6v9aZRrRQm8sulI9Yb///7LcyVQHJsQe3bLtZ0IIDIDr13EiQIYFGCgEjA0ATNPIR8bekw4xhGLtWQmmQWUlskB8eiXslJeeZSSVADoJCip0TNzgGaXm8FcIz/////de2pltVut1r3WrU/W1SC7Vt9q1Oq9tV7Pf/////9r3dS1Oy7oOirXd3STTObDyaCE0KkkFXPIwBCAo7VwGiQGBbF3TApBONFUN85YQvSChYOVusQgDTJX4rtMe+I1GDhyf9HCXvDYRnsM//7MMQZgAvUXyGvaSNhbYnktdyofKkg8AKP//Cxj///3bOKho6nqGqX00qs2N//9nRcq1p5BIL8Y7AyQNRNuFTSBkAWtg4FbBARnhcBDAoPTqBhD8NQHFmTJAdgmDDeoGliqWGNtgzSHkz1qA1xaZWgOChr0FfyX//3RR6j5u56ylYbofuaeBC1aH2u///0BcvWukfF397UDvXFK//7UMQAAAxhmy3uAFipXbKldcALFEBXUFeFj8Aa0QoYQoCxkLG+ZWYzGgAAoVDxVArJQoEwgERmUF/2gRtJVcLdXtv/9C53OfHJS3Zzf+r9xgG+f///+7Ub9U5Weilo932L3m22Xbf//////+urnrIRGRFc7iC0jGL0DNn6ANJGEI8ZAg6MTFluGCOQgwcBRbKRpSFobGbSb+EfahzH/3BsBSb/1a7IcsKD+tvz/////5Pbav5nv0T0fU1WT+3v///+///1s3V6OsQFloP//Qr/+1DEAAAK9FElruXi4WiLZPXdNGxBQgPTP4CtAmMIFEIGggZDWiAz6mCoogUYjBQ6ITLUfIBO3nOarBq3ywKt1v23X9Xp/4DlfREEA9///0C9PodJkzZpQA6fpb///5tyIs55wup/Z1OtYmlTBtLdwl4FjaHjSMCAKMEw1OUUQOKHDgBlyocsQHo3pBWsVrPlK4w1EomuyS0f5QDnVAjxi/UHMJf//XptDTQ82ktC7gwWa1x1/c4/o//O/73qc0+uJwqS3/+2YDgFgGnAraQY//tQxASACxhdJa7po2F3MqT11onkVYcGwCEw9CHgnOlYMwwcOBqwIzqvv3Ww1YpRNotJv/oGRuaj+ESkl1DCmyP//3K6FKtQhQ8Svcu4SRLqMnyNjf//6gmVkS1CnCN/3/SOok4BkPKNpxq2GZCgsYUB6YOiAc3t+YagUX5DAiIQBvId1nX2DpAtt2q36Tofv63Ltg3Lepv///6a/170RWazelFptbbZrkzpe31WqL///////rMXS5iJ6AxEOFHf6166UEghRICrQB9RDG4BJP/7QMQGgAnETy/uZaLherRl/caJ5CAIC6Yiqgg/HSF+FgS6Mgpn5HQYmPjUkajEHT4ggjRr47F45kf///UrI6u50JniiY+bsI7f///SbKizzsXPjRUNsBQAM8BXoA9ohkUAGFx2YCJx3CCmNAYXTMCCILheKJSpZ9j6GcCSpVR1Ijxt+GgCWr6A4hlViSpf//////9Z773JsvvtTZ1/VO2m3ZL1f//////97IZmefV0Q1mQtRpg//tQxACAChRPK67lY2FiCaU1zDSkcG3j+ADWCBgZAoJTBsDjm8MB/JNg8Tw7HEhPKCsoUmi69hvoSbEio/3Q790nXEAFTf///yDMTG7CEXAbVsa/8rpZ///S4wgaLBGPPFyQoLwLAI8D0DaRsVCJh0aAg+n1JIZCEIGBxuOnHCSW5WPPBpEiycHFx5nv/5ORSDfDf//+0q0OKUpBV0q4UEeKmh0hcOIVw2oAIT/9/13AVhJ6CgEOgsIv/3J21WHgLuB+ANYGDg8KhcKFAwtJTP/7QMQJAAncTyuuZaNhRzRk9cyoZAiL7ihgjHihImjF9ZCU8kveKjRNf/86sxBWS8c///6Ni88ldKhZoaNzqioKIztLHt///empxUWqKEQyNAxDwCuA7AFbCHgcyws0cjlB+goiGeKt2KkjaTV7JTvOalP/8scRgSG////////ntSze0/m+3pds6uh9H9O///////02TVEutT+aarz2aX/009VaQ9Fv3HwG0gSrn+JRc6a/AUQt//tAxAkACdhNKa2lrGE0ieW9t7TkNyXHkJAEpJRWfVofoWbGBeEbf/5eYnhtp///oS+TlH1UFJRowVMLMUSLxItoAIt///3r9DDbTCDjf9yfoQHgDN4APwB7RBoTW0OB5yr8ZSUl5FYFhno2TU9jMq42Xlg+BbCK//O0QWCTv//+uxNQWer1NHvH7hZYokWcT///oU5cX4SsKJIA///TYuS24H4A1kYkMk0wYKDnxbMhBovGAyL/+0DEC4AJxE8rrj2lYWGz5f3FCb1NYBkkdMwhAzxpTGkkgsf/mE6CiLoEJ///9ibG0PCMXCRY0LuImWJ8zV9P//3rIJfCewGDnb/HqBQiq8AGoA+to0hw4AIpnPwaJEtqAGE4QDK6TpMDKKnVVkbc51//diMJqRF///////+/Zul9UPkIhk62NbbunR9f7VN///6/XVUnOjMqu5iuQynI57vMLbWgfRYAdgfWBmUQSBgsRAA9s//7QMQIgAhEUyuuYOMhWTRlNcAp1HieLQicJENoCwpM3mnotE3//+OvCTGv//1rZpynvfYtqXkq6dyk////0BBElDQ5IhSw9LcAPgBpAxI5AAEgEUHq9SZRCAOAJepOWy8C5ZLLE0mgT2H8ioAWJZy//////9f60pRZ1Nk9ucrouc2/Svf0p/////831o72Xop8nZphq1VCX//MoSpg6x0AfgbSRhuYhUBAfmY0GG465i0rSs30//swxAyAiewfKaz3ACEJMmY9wAn9VJT0Kqds1/xoSf//+9qLhiEXsebKRVwNMtGmRtJWl7gEQGVC3b9m3ijSy1iNoTCLw4oU/pV9Sg7w7uAB9tQcqiQGjAQMaT8AEwqgsYASy1GkCBamE6YpFu9//yc+lvom/TzJzb9LOll0yze////7dL96vX6rC+VfRYH+3+AAAPrYN3igxYDJ//swxAcACDQfL6zzACEphaW9jmAEuWrHFa7AqFBxdbCSsNPg3bADgcMP/////KfigarLNFhlh3G3a41Gm7/Jfvw+zOlw+TcTQgC7gbwAAAf22Cf0A4WCR4Kkg8DbiyCqVdj8sE5ceOivPi2znwU5MH////03U5tIIk6r9NzCKneLOlUCvYp3//1IC4nSaCpAm4TvYEiDZ4AAAB7R//tAxASAiVQtL+1zAGEbNGX9wAo0SuuUHS6Z4lfAZXjQIN8VQItJVAkdHMqKvPZgNwKSPOVIv////r4uK2v26mtqS0pH/EX//1ode0geCMKqJhNwQBtyAcMLG4B7RBozpdJ0nmBuLG1OMwkDx4BNmIAGlVusoZP1bEmkfMv/+mT1Km01i3bary0uiI7On2T//////6uv1qnu6Jlu0SpARlB3gAAA/tECEkYAAYjBh6kpmTwYLAX/+0DEDAAKUaMt7gBRYUWFJTWOYARV6wb5rwFgDYiSPUs1GHrc+/j//9mtXMZFl9n/oj73+qzVVla7VrZNG/////oZNmRkpqlXPfahWIlgBgWibAfgbSRn0IVIIg+eodgRV3lWoDpOj8Jfo21WXV2+yUdrBH8TkP/+vqQNuUycti7DCnCXcZocgTQ640zFpH0f6y7RpYDoQG0CEQBQkFn/1UJCI6BOBIkCViyQgmIQyN/4XOrOMP/7UMQKgIvwTyGu6gOhkztj8dgKHYPEIpOl5UPTAEJTOrpd6Do+8CsT5PVB3/68AwJE7///dRuOCi9Uida1Z0USSVScnmv3//+9wEvZEjDYEUgKkhL0POSTA+zExsXBkhQApgaqRF+IwSEQrmcVQAAMRkAkqEro+0QwiAuxWYxKLclfKIyaSyb/9SkgsKHab///////+n5dOVduz/la5VR7J0330Vvq33//7/vvJakq6UKEKUy0W6uyPtn3WnRXox2QaXnVYvi+wH4A1tgOYir/+0DEBYBKnaMtrZxPITeJpb3MnGQAiAgNu9zJigtWIgKBIkjsTB9qGVY2m2oBkN//8+UAHT////////9L/v0Ztelh0ZSOnne27P+XPu6W+39PpT/ro1s57K7hDuco7qBw6G0AHwAAxvMAAowCGTj6oPMVBQ01w7RTdBdAdVstxtFwiBkh//tHACv///R5dZKLEIzaxKxjCQ5hxqPTa5H6P75t8XgacBIOHz//tWF7LfvuBtJGCv/7YMQEgAtdpSmuZEUhtzRj9dmJ5RWHBMwgCAn6jyoHgOciplhrMKgKP8V6k5D3Xpk0f53F1cjeHI3/////9uv+lldK7kfXarURWujo29bnX96T1dv3////b+tER8lXvWyIqA/9H9RAYRUGvADRJMYQAMEALMPxWPu4DMYQSDgVHgOYbWSXRKmbLjcuxuNlVvwwgJq7A3kGIjNZ0DRAgqf///////2v61StHIaxq3kpT1+jo3//6/////oQ6uyGWlksr3HMDLIwDfw69dxaT+TN4fW3imDTZdfuBq2EAhvMAw6ChMmh0NGxKIwEBoyJeIQWJy+kWzG5SyFpxIv9AZcaTKG+Nv/7MMQYAAuUTyWu5gNhQInlvcwobF5eYpgL6R7//+pzGxXRr6WybYwWFUEUk7Jb//9Gx51UKCsPAoISnZsbvIpdUwCou7QEegf2iAIvBUtgQuHLpCdkKZiAyx4orOs/J3k6YGmpDCh4v681shwUP///sWxMWTU7MqTTPXIrFAMtYyVs///aga+TShoSB8kor/+iIECMoHYFjSREG//7UMQFAAxpkyOu6UNhZTRldcaJ5JEDhiCCZ+aYAnPIiBpQYOKUI6TL0VcW5X5qLt4WR//4gsCP//////1prSb7Ldts5EWxm3et8z2V2vRrab7///9v+rPtYxGznY49DZSAAZX97thIegMKLh4HaBQdsB8B9YIZPCph0gGEC6ewaAKHK1gUFVjURVAanHKV6W8woXNZD//Maw8K//////6fXV1a+9mq0xCkc2yl7f/dlX9v/////70q5mPRUMyXMqSCGYhwRjB6omA2wG4H1gj/+1DEBAALBZ0rrmVDaUYJ5TXMlGxnMNAwbhYsGD5KDOB0kcUVvihYDatymZDQOQy18mP//0oAWJT3//////z39rJ1Su9T3vTSiPozVrvu9rO+v/////tomqK05UZHSzV1ZTFlSkCwG3A9AGkDDC2AgIYLApyV8HSGj4Y4qrLpIOlh8FLkadGlgrJx3/+eMAdRM///+0uKbAys9Lj7nsJNRWkTbJR+7//62ueLLURdB5ANgA3//02BYDfAegfSCAMcWCCgqfI1kRK1NJFTmwqi//swxAyACmGjK6zs4aEbhOV1vDxEoxymZ1GOvhIz//+0oDpQCQAv/////9k9k9dPp0ev0TW3Z19ujej2//////0T77sp7XMVD6MRkf+j6ENiduAOB9ZGNJ0uUoONMB+TQSiXUQjIWPlEjhsJzFfHf/goDJn//106ReeOuWxrRpoKllJfc4fW/Ls/d/9/9ZMoQOTBf//Qg/Z84AAH//tAxAMAiamjLa2AUWENhKX9rbwU9thq4ErKSAxzQyY8FIpsosYNxaj8rf2Ran4P73//0Sltpr+1Dr+3bXWr+iVRN3WqGndl1dd///5P/W+TZn0STYkjmJqN//oYChzhgAPraPrjBBiEBA9WLC7yIHqkJOcg2olyZJtdKtN/////59fnyWybQDQaKhuKZ1rq6uv//XIprJizwkMSsAg9dWA3dohwAAAfUU9UyaJdB+zMUJq4gez/+zDECwAIrCcv7O3gYTk0JbXACiw6kkEAAszJEf6j0NFap/////Xa/W5EQsLYCB0MI3OSsYx3//+1a7ZEJhlRBKiBQlRf9/wAAP7bBJlAQHgEEHAXCZXBAOCIkBmOOMxJvbMbUxkWUAwi9v//r/dv30o3uh7WujP2rZrPWvutD9tPdf0///2bTVETJtGKuxyKijJAN1ZlgAAA+lH/+0DEBICJ+aMr7gBRYSUz5f3ACjUFlcBQUFA+aYphh4FqBJWvVE4CZw6U+sFB9NEHsvXuf/7v//3Iqf/020R1IbrqTmo8vf/////772UtKszh2MYhGO6WhU//qYHhnhnAPqKZnBQADJAEjBUTCo8HASm8obcaIXjo68PQJHZZB2f//ubft2aj/LoyqtpKafX+5tqf/////7ZJ7GlVFugdUUcMJXBAaGhmcAAAHtsO5RQgXBprmf/7MMQIgAlkJy3scyAhK7QldcAJ9HHvagkLLl1IvA5ngO/Mr7p/kk/l/////6amqkiDB0WSF6ErnBdi6HNe579XXrVtMXZYTAes6WSD6QvQ/n8AAAPrBCZfGAwWKAg51KTEgEVjQGIZtYiqQE467XYV+Xf9/310+z77s7vdibkltbNVacv///////97psl3zo9HQhEVXBH/q+mh/P/7QMQBAIkZoy2uAK+hETPl/cAJ/PYAAAf22A5hFkEGzpauDCeswEgFXDtu2j/Gow0S13//+nXmbS37daort9bpq2i6s9EVW/ZP6/////YzIVDUeh3ZFWVWUhARgKXWAAA+uo8rhoBwKcwIJMLWziwZKAUzhRVAhhUYTIP/9vk7qZLqmtNZL7UbclLNvZT/9bf/+v36+vfSl9SJL86nCstgWHF4AAAAHttGlUYSAKMxxULmRQAg//swxAsAiSmZL+4AT+EqtGX9sAn8ahEw1v44vW9TUsjw/37ffZ9P0V2Tvb2q+l2p7M/q3/////TlaZyumqOYxlPKUYSGW//6GBZcHcAD66mxgYNDEEJ6TEZYGpXCwwYOCSJrzN+1mkUff/v6fM+RHVFarOqsdmeial6lTVP/JR///9P6XzvQ+Vq5jikUMzKRyGErUHhzcAAAAB9r//swxASACDAfL+3lIuEiNGW1sAn0AFjIYplHJw58zF5QqI/rqDIaclkaL1/////1ddJSpziWtIVYp8XtCzEFhQi7/6kW7srO2zTRxmFoN+dwAAB/bYDkoVACAHNWtjHB8KgDOWEPqk8wXlrXcP/+1f9fs6Jqll6pMZ6Mhk7utGfZlvT/ft//t1v/bW2+nadUVmRyWmMFYEhDcAAA//swxAMBCRmTL+2AT+kPMWW1sAm9AB9tSZ7Ag2SCRmlKAAhbI4CVNNgY9TT9LI//+T6rZtbrult0oqarajXfkR5svZHtZ+jf/6fenS90zEtd3QQUGkMCZwn0AA/tEAWOFhQGi57MUZ+Gl8AEBp4R1j7n2cG7Uf/Xmtqravuq36oidEVfXRtFVH1XVFf2//////71tJreHaFTzF2F//tQxAAAif2jK64ATeFLtGV1zIhkgH34AAAH1tgkbhYFg4EE6xIhI0MBCkOBa9JkWB9+Zh57P/2p31RbUpXem6MZj2psiuy2036Jdk0bp/0/9f16ot6OjNsquZDsplIdCi//69NC21A/1lhkUGGEgeAQkc/W50hJ8l0oBauMiolalrY7P/oxP///////2b+iX9r5b9HJs4tUdFVKPa3Vfb/n6bX/b9fb+yuX7qzJQ6HIQ58rgH//oVBXVnYIkAD+2s0UwDMFjc0TqMYQxCFK2v/7MMQMAAkcOy3s7OFhPwblvczATKKPiXnQrdN3WxT8//AwBpX///+vTQ64g58iuRKssShSFHCc4qOs0Xfd/+tgESswUEKgUIjO1SOB/aIPHowWHTAhAOJL85BFBzGYAI4oAJ4OzhmyiZIGSd/UKcIOPfEBP//98rNWDmizmGlhQuyuo+xlj7mf//r6a7UAkKBUicFwuqDgrdwOB//7UMQDAAtNlymuNE8hgbOkNcgJvNJGZvCQYRTCYKG/kPIJGAwuAysDZrbTyx1vOAnao7fS//rAc6n/////ptuuzInRWR/odtGtss8klVyshnPu3ZXrX3////6/VV1RrHpQhmGGcBA7/UwIBIABwLEkTIoTMEkAwovT/2aMSBNB4sikNSlUBq15dh2Fskl///zoGZkaf////8iuv+zKs7sypd3lJrK9Ky+xunRbO10S33T//p7//93psuhD0Ipwhi+lbNDmixoehKKB1CgADgD/+1DEAwAKrZsnrgCtIVgz5LXGiTyyBmVwGIw6YAJxqSGmJAsXLLqI9vwVAKuP77coPOSDEHf/////7dcifTNq9mM2iZquXZ0rss6+lHa3////9Pa1amqyGsiMpSWGuAxnuy3EzCoEAA3AtbaEmeiqYDDxytVERfY4jmnjgo2Gvpf//14JIasCsAr//////q+iJX7b+yo1lTVU+n9ez2s9y0W/RU///0/++9HksZM6uQ5HOkEQ/1dp6IkVQrRYAE4AaJIDC2AcAgIk0DTSJAw0//tAxAqAi9WfH6qAWKk8M2T1oAmkEQvwQEplUIAGG/Uk3///qqC54nTILfgtGN//Sqq10O60vPVWPY8y7J7evX/7f////+urOx11R0NUM1lDKt3s/bPm3gRzFTyPIyQ6uUADRhka9RoQFzb/jDDS22L88WW91jKlk5UdW//////7OpnbbMVlbslci2erEoZ1tP/2TS//////9LtlZS6IU6IVmVrGDKk3/qXFhWhaQEhogAAAAP7/+zDEBACJUY8t7YBN6P8zZf2wCf3bQ6TIAEcDjgjMEACw5eRHtiCwKrZBaZFB/9f0+taM07Iuil9Oq+7sTe1K2/VNv/X//l9SMk07lLVJKo48oWFHRIqGBYd3AAD7CBIeMACR5S5g5/RoDANSxpat7UOc/L///9Xc2pkvea2h2T6nc2y0+iyk//////+z68lNkMl5VDsF6nBYlpD/+zDEAgCIHBsv7eniIQeDZb2tsBQAAAAfbQ4MQFhNpp5SoPiSIEB4FuBcJ81Yya//////0oH6EIekBi+ipYFeWgQS0HLG8430/0qLrtsbAbBIwJDOwAAe2w7JAxQFDI8W1Ay0paXSRhbEtEHMQY/////+y02wk2ceHQY6C7SKkHCqBSVoMWo//zS0bUKgYFDR8MCeUFh2gAAAAP//+zDEBACI5B8t7eXiYQuD5b28PERbDRQdDIqiJqnMci6QzWVzH+hRWbeocgP////6X3u7VB82I2iiniFLQPFxUY0qaXTenO//90mWQWLHCy0iiROoK7PIAAfWsOnhQFJAYyj5BllHRzFS2RFCtbC0lb/////xXqHLoPhtlgQDQ54qUFzZ9aSCBpG01sqs/+j6jyHsERoWgv+4AAD/+0DEAoCI4BctrO8AIR0xZb2wCf0H+thXOvoZBzoeQ/xRQSHTokap2DA4j////79+o6PMk0mgzLHiBtg8OiAay0wogYde6hf9CafYHKj6TQYIraMIlxVgV3WHAA9toOqlzqqHvXplgInWuhy24N2ahYjzuRCi/6U+ffZdaO6dV+iqd+5+ql3a2j7KldzL/12S39LNf1Mm6qwqc3zi5Gqi/X8AAAf22Bi3ZYoOcHQQKRaTCk2kNP/7MMQLgYixiy2uAE+pELNlvcAJ/ftrvtzD0uTRf/996Lv/kZ1dq/0rTJW9Tqz66LZGSvo/T///v9v7U1n2hWKzD6aUBYdvqKLG/janFhaNHFINGFXT2vOkNF9dxx//XoqIq0oezNIs6s7u0i72Zq8jZG0on////9W7eWxFTO06IcEUxkIHkR3CfbAAAAf62FKJMFHo4SEQOsv1X//7MMQKAcjcGS2tcyAg8wLlka28DEZf+dGmaZ/////+kXIISy9yhg9yz4pDyEKNrlGpIOkW11Mo/sVRX4qw0PUcEIKnjv/q14b9guGDQg4BnmLBpAqXGKRRIE4h5hV//////oVPjYXl4ZpXHrreEBUBAUcQhpLv//ZVTSLiAukiTNioYMqDfTAAAAf2iDa5uqDRzcudqSKpIE0lzf/7IMQLgYi4GSutbyAg2YLl9ay8RHhXhZZ////90JrdwEhAaULA82OoJCYPvFjouseOZPGkBv//5qMlxrnNCwIOPSR7D/37WC+toispwvxiQphItiZeFb/////+9KVpYtp4Vf/WyBiTz4LXhhB13///ughBYcYcHP/31VCHiHAAAAD/+zDEA4DJKY8v7YBN6QSDZfmssEz/bUOYkEJCCGEQJiB8Qhsca3DDjDQfTZ///69dGz2JruqulnLd1rR1K8lzM0jXm6JtTXP////7/rrdDlsgN80U4YSYGh3kAAAkGggFRJ98h9olrAuCxA3Pw+1z/////0U2JNJFGILMJLVLgQICEV7q0C4sASz933V9K6SZpl4saPXEBEqiffD/+0DEAYCJZBkrrW8AYQw0ZbWwCbwAAAf22CaoMDgQCP+IRKYRHHoF+3Yglm9Gf////+67ZpkhUQkTJhyhWloHFhgABETsQxaYuI/Pf3u7hWl4w8ZUtQABEKq//pTQf9wAPraGWRECiEAPjVRYib0SDn5ZcmXNc1rn/7dX9dW6v9rIzO5HsrIl9pDtl+//T///0/3eufdcOiIdlBK91dCj1WA4d3AAAAAfWw0MTMNMBAQm8WBuSv/7MMQKgQicHy3t4eJhJjQldbAJvKYDBQySos4qI9WZo/////+hqlXKeJoI5xTvnyRFGBgsuKvo//1KUkJB4IqWoQAYKYTagAfW2B2cDTURIB2GiZIRITwQBPG4kTkOV9uMm/9X/RP2V/d6qS3RGeQ2zo6PqiO631U290/t9P/96p+jWbW7uaR8hyoFd0UqUChUUAAAAP7bB5tCQf/7QMQGgIoxoyvuAE3hC4Mlta3oBMMBg07WRgw9pQGLQGEBibWDX5zD/20o+murJISju16Pbeo15KXR1SyurGru9tKqnRNmqv///0WxuxblVEWjOzHMqq84LiavgAfWs/5sz7QAGZ/TkcImEAggC2zyL7b3p3////9XSupw1YVFj9SihRhJECkzEIk3nTSl2L1/zf/7bgCuFz///TVgZzOAAAAA/11B00IyMgLjAJ0EHw6ChYEW//swxAyAibWjLe2ATeEUguV9vOBEzQN1czV///19P6s27Mm7SdGZGMrVvRn3s6ovMjcyfVrei+v7/pltU52ZtcFVzNEHKwk6ECIBw6sAAHtDDpN8hYDO/eAeWsw3lLwRshmniY////9tT4xbltniJezfAawg8sBUwgLk0Pj3CL//9VBG0i5CibBGoGP/6rFQV4QAAAAAH1EE5whB//swxAaAiF2LLe0AT+jmAuX1ljyMCg0+xEHRVYmIqDJ0JGtQ/////WyNTbch0OZXZrZVbeq0ta/lRLIhv//////+vujeDL/woBwJV79wAPtoJ9JoiggTcXmdmjQHDEjiP/////9jrkqYbVtJj2C5JbCgGLQzUlzAzpp/Z+ui2s6swLkS6odt/+AAB/aGNa4OGQhwBokaIyKhcqQL//swxAuAiOglK61h4iEMhOX9pgDcan68eCmWEf///+45IVPDhkuCgoQjXRrVuBqgNtaCAsWRMM///95iOGsB8JmEt//7mGYZ4mAD7aj8NWIZChv47ZMwABFdJ4UqR17pKR+CpQf/////TnGurIoFbKMsULhMEUrYzkldH0tlKPbeMlpILJPHgDVgaHd2cAAA/11DQJPpYhzRUDog//tAxAmAih2XLe2AUWkvs+W9sAo1oB2KI/rpl8v/Putb/P///+rbrt2TsxhN0YiK7ApD1s7oqtTRUSjb/STItv/W9Hb/+jbHQiIhGU7CgrhezhCgzu8TQB7bDQwJW1W45VpNDAEFVRNBfe1cwir3++DFG5Li3z3s+112s5EW8tH9m01e7IqXT0bQ9NXu339f+lv/2ysu9mOY0xkVYNgpUGh2mZAAAP9dDlLWUVQU1aSM8D0AQVr/+zDEC4CJ9Cct7O3gYSayZb2wCfVmGumoewtRXZM5HkxQR7///+rrvLHmVYAQ17EEBMMOWOh2wkQXxUibdPIzWj1wOecxTBMMWCIqPJKEO7u4AH11JqMu+Qgg7YmBHhAFtIYy8L9NDn/y/Xd/19Ke/Wei9K0vorIRLGU8l7Pf7Peuuh3bbz9v9lb+2vyGYqkbU6DvCujDFUCHeAD/+0DEAgCJQZ0t7YBN4RUDJXW8vEQAAAD/YQHOToCoCavSGXm4MAF7puOu2FFLP///9i+9Pr1X3ZmQiGZDdEQpXqjUqRM1W2Z/////++l2y9CrM9Eel1Ha///owuvwAHtrNpDJ5Lw6KhOIJS9UJ95Qaqw/////61bW2wOkOCBhyhLHBkBDFmHNFS08xQCc7FaEdGz8o+upo4NrWCQEd/q6lWBnaAAAAAD/Ww10DcBnZ07ECm9Phf/7MMQKgIj1oy3tgE3hKrKltbAJ/Admkr6u+9///99u1F6eytOpnQ7uzkK91cj2bREW5drIWm26/r////9aHqrUSk+rI6EQPg/9wAPrqcCCpXPod0XjQ5Ay6WLwxeiGPf///o910y37/odFTMr3fKrq+7OhFVNdNc1t+y0+rtemfmdC6mZaER3KtDoEBE2EGf/6VVBoZnAAAcD+2//7UMQEgIplmSvtgE0hX7QlfVALFA3UARlVuE58MikAI0BKcU7ntZkMn/9To3/////685GpVDL7q6u+1qIrS7sXQqySL0XRzq3nV///9W/T50JSqIQ8xDSlwaQ4z//GuCM7wAAGttA0eGgHAoL8gasGQBQhJoXIPgWovhvQgsPb////1B8C2/9lsbvrRtFZ59WSt3pV0lMkh0VNzLbZ3v7/0/6umZ5tGVLM8xTFOzOxzkOFd/yP7qNbIAAOBa2yHjRggaKgR69GaeOBACyKTyj/+zDEDIGKpRMjrYINIQey5X2gCW1d8FZZf9agsKWn//////Z7aqnbXW21Gu9raS3QuvSa2t3ZbNnXG4DWv+3/seUUZIGz7xzj4l+pdEBZ0WegQ7NrbAVvbIm6brAQFy3z0sqiNHZ7qVH///////+nb97W2NTbTVKmN5raEai0Rt+3/bav/SydESc1dGZ2Uqjvy8BghmdwAAAA/13/+zDEBIGI8Z8t7QBN6RMC5XWssEQDUyh6iginmcMIA5iV2KlrXf//brNV88x+rIkyMymMq6HVndJEas3XstrbetrWW7VJ2///v977mqhXSqKKKnw+29thuwipFVzhvD3HDgDMIX4XHf////r6pNTQOp6TxpDgiUMExA0SEmpEJVDBQyeWxLHwr+SJes/gRBUXgccfAyiv+pVAhlf/+0DEAYCJ1aEr7QBN4SK0JXVACiwAAAAA/1sIgz7MNOgLDUJMHgWXYci////1zzdzPr6yP1oQzLUplKRHdz1Z3qjI86vaRa6vf9u3/6/6ZTEdFap6psoIzKCMwMU//+5Vet2/A9tgKAg/oTMAKzwbBQypktB0mvqRb/+n+iHXdql5k6IhC12QjZVV5pjIrX2fpV7P/7/32/p977XvdmimPMghijH/v1fjFThlVgAAAAAfXVcUwP/7EMQGA8edmyvpAE/oAAA/wAAABDWhYyIG5ommh/t81e83fdfNRZTdMqcqOqOh3XVHa/voz////63Z2cKqOjpoilhhXdJMQU1FMy45OC4yqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq//sQxBEDwAABpAAAACAAADSAAAAEqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqo=") /***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/16-vibraphone/72.mp3": /*!******************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/16-vibraphone/72.mp3 ***! \******************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/18-steel-drum/60.mp3": /*!******************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/18-steel-drum/60.mp3 ***! \******************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/21-synth-pad/60.mp3": /*!*****************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/21-synth-pad/60.mp3 ***! \*****************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/3-organ/60.mp3": /*!************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/3-organ/60.mp3 ***! \************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/4-guitar/60.mp3": /*!*************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/4-guitar/60.mp3 ***! \*************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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") /***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/5-electric-guitar/60.mp3": /*!**********************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/5-electric-guitar/60.mp3 ***! \**********************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/6-bass/48.mp3": /*!***********************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/6-bass/48.mp3 ***! \***********************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/7-pizzicato/60.mp3": /*!****************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/7-pizzicato/60.mp3 ***! \****************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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/***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/8-cello/36.mp3": /*!************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/8-cello/36.mp3 ***! \************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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") /***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/8-cello/48.mp3": /*!************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/8-cello/48.mp3 ***! \************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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") /***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/8-cello/60.mp3": /*!************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/8-cello/60.mp3 ***! \************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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") /***/ }), /***/ "../scratch3-vm/node_modules/arraybuffer-loader/index.js!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/9-trombone/36.mp3": /*!***************************************************************************************************************************************************!*\ !*** ../scratch3-vm/node_modules/arraybuffer-loader!./node_modules/scratch-vm/src/extensions/scratch3_music/assets/instruments/9-trombone/36.mp3 ***! \***************************************************************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { module.exports = __webpack_require__(/*! ../../../../../../../../../scratch3-vm/node_modules/arraybuffer-loader/lib/to-array-buffer.js */ 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") 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") 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* http://paperjs.org/ * * Copyright (c) 2011 - 2016, Juerg Lehni & Jonathan Puckey * http://scratchdisk.com/ & http://jonathanpuckey.com/ * * Distributed under the MIT license. See LICENSE file for details. * * All rights reserved. * * Date: Mon Jul 29 11:21:04 2019 -0400 * *** * * Straps.js - Class inheritance library with support for bean-style accessors * * Copyright (c) 2006 - 2016 Juerg Lehni * http://scratchdisk.com/ * * Distributed under the MIT license. * *** * * Acorn.js * http://marijnhaverbeke.nl/acorn/ * * Acorn is a tiny, fast JavaScript parser written in JavaScript, * created by Marijn Haverbeke and released under an MIT license. * */ var paper = function(self, undefined) { self = self || __webpack_require__(/*! ./node/self.js */ 8); var window = self.window ? self.window : self, document = self.document; var Base = new function() { var hidden = /^(statics|enumerable|beans|preserve)$/, array = [], slice = array.slice, create = Object.create, describe = Object.getOwnPropertyDescriptor, define = Object.defineProperty, forEach = array.forEach || function(iter, bind) { for (var i = 0, l = this.length; i < l; i++) { iter.call(bind, this[i], i, this); } }, forIn = function(iter, bind) { for (var i in this) { if (this.hasOwnProperty(i)) iter.call(bind, this[i], i, this); } }, set = Object.assign || function(dst) { for (var i = 1, l = arguments.length; i < l; i++) { var src = arguments[i]; for (var key in src) { if (src.hasOwnProperty(key)) dst[key] = src[key]; } } return dst; }, each = function(obj, iter, bind) { if (obj) { var desc = describe(obj, 'length'); (desc && typeof desc.value === 'number' ? forEach : forIn) .call(obj, iter, bind = bind || obj); } return bind; }; function inject(dest, src, enumerable, beans, preserve) { var beansNames = {}; function field(name, val) { val = val || (val = describe(src, name)) && (val.get ? val : val.value); if (typeof val === 'string' && val[0] === '#') val = dest[val.substring(1)] || val; var isFunc = typeof val === 'function', res = val, prev = preserve || isFunc && !val.base ? (val && val.get ? name in dest : dest[name]) : null, bean; if (!preserve || !prev) { if (isFunc && prev) val.base = prev; if (isFunc && beans !== false && (bean = name.match(/^([gs]et|is)(([A-Z])(.*))$/))) beansNames[bean[3].toLowerCase() + bean[4]] = bean[2]; if (!res || isFunc || !res.get || typeof res.get !== 'function' || !Base.isPlainObject(res)) { res = { value: res, writable: true }; } if ((describe(dest, name) || { configurable: true }).configurable) { res.configurable = true; res.enumerable = enumerable != null ? enumerable : !bean; } define(dest, name, res); } } if (src) { for (var name in src) { if (src.hasOwnProperty(name) && !hidden.test(name)) field(name); } for (var name in beansNames) { var part = beansNames[name], set = dest['set' + part], get = dest['get' + part] || set && dest['is' + part]; if (get && (beans === true || get.length === 0)) field(name, { get: get, set: set }); } } return dest; } function Base() { for (var i = 0, l = arguments.length; i < l; i++) { var src = arguments[i]; if (src) set(this, src); } return this; } return inject(Base, { inject: function(src) { if (src) { var statics = src.statics === true ? src : src.statics, beans = src.beans, preserve = src.preserve; if (statics !== src) inject(this.prototype, src, src.enumerable, beans, preserve); inject(this, statics, null, beans, preserve); } for (var i = 1, l = arguments.length; i < l; i++) this.inject(arguments[i]); return this; }, extend: function() { var base = this, ctor, proto; for (var i = 0, obj, l = arguments.length; i < l && !(ctor && proto); i++) { obj = arguments[i]; ctor = ctor || obj.initialize; proto = proto || obj.prototype; } ctor = ctor || function() { base.apply(this, arguments); }; proto = ctor.prototype = proto || create(this.prototype); define(proto, 'constructor', { value: ctor, writable: true, configurable: true }); inject(ctor, this); if (arguments.length) this.inject.apply(ctor, arguments); ctor.base = base; return ctor; } }).inject({ enumerable: false, initialize: Base, set: Base, inject: function() { for (var i = 0, l = arguments.length; i < l; i++) { var src = arguments[i]; if (src) { inject(this, src, src.enumerable, src.beans, src.preserve); } } return this; }, extend: function() { var res = create(this); return res.inject.apply(res, arguments); }, each: function(iter, bind) { return each(this, iter, bind); }, clone: function() { return new this.constructor(this); }, statics: { set: set, each: each, create: create, define: define, describe: describe, clone: function(obj) { return set(new obj.constructor(), obj); }, isPlainObject: function(obj) { var ctor = obj != null && obj.constructor; return ctor && (ctor === Object || ctor === Base || ctor.name === 'Object'); }, pick: function(a, b) { return a !== undefined ? a : b; }, slice: function(list, begin, end) { return slice.call(list, begin, end); } } }); }; if (true) module.exports = Base; Base.inject({ enumerable: false, toString: function() { return this._id != null ? (this._class || 'Object') + (this._name ? " '" + this._name + "'" : ' @' + this._id) : '{ ' + Base.each(this, function(value, key) { if (!/^_/.test(key)) { var type = typeof value; this.push(key + ': ' + (type === 'number' ? Formatter.instance.number(value) : type === 'string' ? "'" + value + "'" : value)); } }, []).join(', ') + ' }'; }, getClassName: function() { return this._class || ''; }, importJSON: function(json) { return Base.importJSON(json, this); }, exportJSON: function(options) { return Base.exportJSON(this, options); }, toJSON: function() { return Base.serialize(this); }, set: function(props, exclude) { if (props) Base.filter(this, props, exclude, this._prioritize); return this; } }, { beans: false, statics: { exports: {}, extend: function extend() { var res = extend.base.apply(this, arguments), name = res.prototype._class; if (name && !Base.exports[name]) Base.exports[name] = res; return res; }, equals: function(obj1, obj2) { if (obj1 === obj2) return true; if (obj1 && obj1.equals) return obj1.equals(obj2); if (obj2 && obj2.equals) return obj2.equals(obj1); if (obj1 && obj2 && typeof obj1 === 'object' && typeof obj2 === 'object') { if (Array.isArray(obj1) && Array.isArray(obj2)) { var length = obj1.length; if (length !== obj2.length) return false; while (length--) { if (!Base.equals(obj1[length], obj2[length])) return false; } } else { var keys = Object.keys(obj1), length = keys.length; if (length !== Object.keys(obj2).length) return false; while (length--) { var key = keys[length]; if (!(obj2.hasOwnProperty(key) && Base.equals(obj1[key], obj2[key]))) return false; } } return true; } return false; }, read: function(list, start, options, amount) { if (this === Base) { var value = this.peek(list, start); list.__index++; return value; } var proto = this.prototype, readIndex = proto._readIndex, begin = start || readIndex && list.__index || 0, length = list.length, obj = list[begin]; amount = amount || length - begin; if (obj instanceof this || options && options.readNull && obj == null && amount <= 1) { if (readIndex) list.__index = begin + 1; return obj && options && options.clone ? obj.clone() : obj; } obj = Base.create(proto); if (readIndex) obj.__read = true; obj = obj.initialize.apply(obj, begin > 0 || begin + amount < length ? Base.slice(list, begin, begin + amount) : list) || obj; if (readIndex) { list.__index = begin + obj.__read; var filtered = obj.__filtered; if (filtered) { list.__filtered = filtered; obj.__filtered = undefined; } obj.__read = undefined; } return obj; }, peek: function(list, start) { return list[list.__index = start || list.__index || 0]; }, remain: function(list) { return list.length - (list.__index || 0); }, readList: function(list, start, options, amount) { var res = [], entry, begin = start || 0, end = amount ? begin + amount : list.length; for (var i = begin; i < end; i++) { res.push(Array.isArray(entry = list[i]) ? this.read(entry, 0, options) : this.read(list, i, options, 1)); } return res; }, readNamed: function(list, name, start, options, amount) { var value = this.getNamed(list, name), hasObject = value !== undefined; if (hasObject) { var filtered = list.__filtered; if (!filtered) { filtered = list.__filtered = Base.create(list[0]); filtered.__unfiltered = list[0]; } filtered[name] = undefined; } var l = hasObject ? [value] : list, res = this.read(l, start, options, amount); return res; }, getNamed: function(list, name) { var arg = list[0]; if (list._hasObject === undefined) list._hasObject = list.length === 1 && Base.isPlainObject(arg); if (list._hasObject) return name ? arg[name] : list.__filtered || arg; }, hasNamed: function(list, name) { return !!this.getNamed(list, name); }, filter: function(dest, source, exclude, prioritize) { var processed; function handleKey(key) { if (!(exclude && key in exclude) && !(processed && key in processed)) { var value = source[key]; if (value !== undefined) dest[key] = value; } } if (prioritize) { var keys = {}; for (var i = 0, key, l = prioritize.length; i < l; i++) { if ((key = prioritize[i]) in source) { handleKey(key); keys[key] = true; } } processed = keys; } Object.keys(source.__unfiltered || source).forEach(handleKey); return dest; }, isPlainValue: function(obj, asString) { return Base.isPlainObject(obj) || Array.isArray(obj) || asString && typeof obj === 'string'; }, serialize: function(obj, options, compact, dictionary) { options = options || {}; var isRoot = !dictionary, res; if (isRoot) { options.formatter = new Formatter(options.precision); dictionary = { length: 0, definitions: {}, references: {}, add: function(item, create) { var id = '#' + item._id, ref = this.references[id]; if (!ref) { this.length++; var res = create.call(item), name = item._class; if (name && res[0] !== name) res.unshift(name); this.definitions[id] = res; ref = this.references[id] = [id]; } return ref; } }; } if (obj && obj._serialize) { res = obj._serialize(options, dictionary); var name = obj._class; if (name && !obj._compactSerialize && (isRoot || !compact) && res[0] !== name) { res.unshift(name); } } else if (Array.isArray(obj)) { res = []; for (var i = 0, l = obj.length; i < l; i++) res[i] = Base.serialize(obj[i], options, compact, dictionary); } else if (Base.isPlainObject(obj)) { res = {}; var keys = Object.keys(obj); for (var i = 0, l = keys.length; i < l; i++) { var key = keys[i]; res[key] = Base.serialize(obj[key], options, compact, dictionary); } } else if (typeof obj === 'number') { res = options.formatter.number(obj, options.precision); } else { res = obj; } return isRoot && dictionary.length > 0 ? [['dictionary', dictionary.definitions], res] : res; }, deserialize: function(json, create, _data, _setDictionary, _isRoot) { var res = json, isFirst = !_data, hasDictionary = isFirst && json && json.length && json[0][0] === 'dictionary'; _data = _data || {}; if (Array.isArray(json)) { var type = json[0], isDictionary = type === 'dictionary'; if (json.length == 1 && /^#/.test(type)) { return _data.dictionary[type]; } type = Base.exports[type]; res = []; for (var i = type ? 1 : 0, l = json.length; i < l; i++) { res.push(Base.deserialize(json[i], create, _data, isDictionary, hasDictionary)); } if (type) { var args = res; if (create) { res = create(type, args, isFirst || _isRoot); } else { res = new type(args); } } } else if (Base.isPlainObject(json)) { res = {}; if (_setDictionary) _data.dictionary = res; for (var key in json) res[key] = Base.deserialize(json[key], create, _data); } return hasDictionary ? res[1] : res; }, exportJSON: function(obj, options) { var json = Base.serialize(obj, options); return options && options.asString == false ? json : JSON.stringify(json); }, importJSON: function(json, target) { return Base.deserialize( typeof json === 'string' ? JSON.parse(json) : json, function(ctor, args, isRoot) { var useTarget = isRoot && target && target.constructor === ctor, obj = useTarget ? target : Base.create(ctor.prototype); if (args.length === 1 && obj instanceof Item && (useTarget || !(obj instanceof Layer))) { var arg = args[0]; if (Base.isPlainObject(arg)) arg.insert = false; } (useTarget ? obj.set : ctor).apply(obj, args); if (useTarget) target = null; return obj; }); }, push: function(list, items) { var itemsLength = items.length; if (itemsLength < 4096) { list.push.apply(list, items); } else { var startLength = list.length; list.length += itemsLength; for (var i = 0; i < itemsLength; i++) { list[startLength + i] = items[i]; } } return list; }, splice: function(list, items, index, remove) { var amount = items && items.length, append = index === undefined; index = append ? list.length : index; if (index > list.length) index = list.length; for (var i = 0; i < amount; i++) items[i]._index = index + i; if (append) { Base.push(list, items); return []; } else { var args = [index, remove]; if (items) Base.push(args, items); var removed = list.splice.apply(list, args); for (var i = 0, l = removed.length; i < l; i++) removed[i]._index = undefined; for (var i = index + amount, l = list.length; i < l; i++) list[i]._index = i; return removed; } }, capitalize: function(str) { return str.replace(/\b[a-z]/g, function(match) { return match.toUpperCase(); }); }, camelize: function(str) { return str.replace(/-(.)/g, function(match, chr) { return chr.toUpperCase(); }); }, hyphenate: function(str) { return str.replace(/([a-z])([A-Z])/g, '$1-$2').toLowerCase(); } }}); var Emitter = { on: function(type, func) { if (typeof type !== 'string') { Base.each(type, function(value, key) { this.on(key, value); }, this); } else { var types = this._eventTypes, entry = types && types[type], handlers = this._callbacks = this._callbacks || {}; handlers = handlers[type] = handlers[type] || []; if (handlers.indexOf(func) === -1) { handlers.push(func); if (entry && entry.install && handlers.length === 1) entry.install.call(this, type); } } return this; }, off: function(type, func) { if (typeof type !== 'string') { Base.each(type, function(value, key) { this.off(key, value); }, this); return; } var types = this._eventTypes, entry = types && types[type], handlers = this._callbacks && this._callbacks[type], index; if (handlers) { if (!func || (index = handlers.indexOf(func)) !== -1 && handlers.length === 1) { if (entry && entry.uninstall) entry.uninstall.call(this, type); delete this._callbacks[type]; } else if (index !== -1) { handlers.splice(index, 1); } } return this; }, once: function(type, func) { return this.on(type, function() { func.apply(this, arguments); this.off(type, func); }); }, emit: function(type, event) { var handlers = this._callbacks && this._callbacks[type]; if (!handlers) return false; var args = Base.slice(arguments, 1), setTarget = event && event.target && !event.currentTarget; handlers = handlers.slice(); if (setTarget) event.currentTarget = this; for (var i = 0, l = handlers.length; i < l; i++) { if (handlers[i].apply(this, args) == false) { if (event && event.stop) event.stop(); break; } } if (setTarget) delete event.currentTarget; return true; }, responds: function(type) { return !!(this._callbacks && this._callbacks[type]); }, attach: '#on', detach: '#off', fire: '#emit', _installEvents: function(install) { var types = this._eventTypes, handlers = this._callbacks, key = install ? 'install' : 'uninstall'; if (types) { for (var type in handlers) { if (handlers[type].length > 0) { var entry = types[type], func = entry && entry[key]; if (func) func.call(this, type); } } } }, statics: { inject: function inject(src) { var events = src._events; if (events) { var types = {}; Base.each(events, function(entry, key) { var isString = typeof entry === 'string', name = isString ? entry : key, part = Base.capitalize(name), type = name.substring(2).toLowerCase(); types[type] = isString ? {} : entry; name = '_' + name; src['get' + part] = function() { return this[name]; }; src['set' + part] = function(func) { var prev = this[name]; if (prev) this.off(type, prev); if (func) this.on(type, func); this[name] = func; }; }); src._eventTypes = types; } return inject.base.apply(this, arguments); } } }; var PaperScope = Base.extend({ _class: 'PaperScope', initialize: function PaperScope() { paper = this; this.settings = new Base({ applyMatrix: true, insertItems: true, handleSize: 4, hitTolerance: 0 }); this.project = null; this.projects = []; this.tools = []; this._id = PaperScope._id++; PaperScope._scopes[this._id] = this; var proto = PaperScope.prototype; if (!this.support) { var ctx = CanvasProvider.getContext(1, 1) || {}; proto.support = { nativeDash: 'setLineDash' in ctx || 'mozDash' in ctx, nativeBlendModes: BlendMode.nativeModes }; CanvasProvider.release(ctx); } if (!this.agent) { var user = self.navigator.userAgent.toLowerCase(), os = (/(darwin|win|mac|linux|freebsd|sunos)/.exec(user)||[])[0], platform = os === 'darwin' ? 'mac' : os, agent = proto.agent = proto.browser = { platform: platform }; if (platform) agent[platform] = true; user.replace( /(opera|chrome|safari|webkit|firefox|msie|trident|atom|node)\/?\s*([.\d]+)(?:.*version\/([.\d]+))?(?:.*rv\:v?([.\d]+))?/g, function(match, n, v1, v2, rv) { if (!agent.chrome) { var v = n === 'opera' ? v2 : /^(node|trident)$/.test(n) ? rv : v1; agent.version = v; agent.versionNumber = parseFloat(v); n = n === 'trident' ? 'msie' : n; agent.name = n; agent[n] = true; } } ); if (agent.chrome) delete agent.webkit; if (agent.atom) delete agent.chrome; } }, version: "0.11.8", getView: function() { var project = this.project; return project && project._view; }, getPaper: function() { return this; }, execute: function(code, options) { var exports = paper.PaperScript.execute(code, this, options); View.updateFocus(); return exports; }, install: function(scope) { var that = this; Base.each(['project', 'view', 'tool'], function(key) { Base.define(scope, key, { configurable: true, get: function() { return that[key]; } }); }); for (var key in this) if (!/^_/.test(key) && this[key]) scope[key] = this[key]; }, setup: function(element) { paper = this; this.project = new Project(element); return this; }, createCanvas: function(width, height) { return CanvasProvider.getCanvas(width, height); }, activate: function() { paper = this; }, clear: function() { var projects = this.projects, tools = this.tools; for (var i = projects.length - 1; i >= 0; i--) projects[i].remove(); for (var i = tools.length - 1; i >= 0; i--) tools[i].remove(); }, remove: function() { this.clear(); delete PaperScope._scopes[this._id]; }, statics: new function() { function handleAttribute(name) { name += 'Attribute'; return function(el, attr) { return el[name](attr) || el[name]('data-paper-' + attr); }; } return { _scopes: {}, _id: 0, get: function(id) { return this._scopes[id] || null; }, getAttribute: handleAttribute('get'), hasAttribute: handleAttribute('has') }; } }); var PaperScopeItem = Base.extend(Emitter, { initialize: function(activate) { this._scope = paper; this._index = this._scope[this._list].push(this) - 1; if (activate || !this._scope[this._reference]) this.activate(); }, activate: function() { if (!this._scope) return false; var prev = this._scope[this._reference]; if (prev && prev !== this) prev.emit('deactivate'); this._scope[this._reference] = this; this.emit('activate', prev); return true; }, isActive: function() { return this._scope[this._reference] === this; }, remove: function() { if (this._index == null) return false; Base.splice(this._scope[this._list], null, this._index, 1); if (this._scope[this._reference] == this) this._scope[this._reference] = null; this._scope = null; return true; }, getView: function() { return this._scope.getView(); } }); var Formatter = Base.extend({ initialize: function(precision) { this.precision = Base.pick(precision, 5); this.multiplier = Math.pow(10, this.precision); }, number: function(val) { return this.precision < 16 ? Math.round(val * this.multiplier) / this.multiplier : val; }, pair: function(val1, val2, separator) { return this.number(val1) + (separator || ',') + this.number(val2); }, point: function(val, separator) { return this.number(val.x) + (separator || ',') + this.number(val.y); }, size: function(val, separator) { return this.number(val.width) + (separator || ',') + this.number(val.height); }, rectangle: function(val, separator) { return this.point(val, separator) + (separator || ',') + this.size(val, separator); } }); Formatter.instance = new Formatter(); var Numerical = new function() { var abscissas = [ [ 0.5773502691896257645091488], [0,0.7745966692414833770358531], [ 0.3399810435848562648026658,0.8611363115940525752239465], [0,0.5384693101056830910363144,0.9061798459386639927976269], [ 0.2386191860831969086305017,0.6612093864662645136613996,0.9324695142031520278123016], [0,0.4058451513773971669066064,0.7415311855993944398638648,0.9491079123427585245261897], [ 0.1834346424956498049394761,0.5255324099163289858177390,0.7966664774136267395915539,0.9602898564975362316835609], [0,0.3242534234038089290385380,0.6133714327005903973087020,0.8360311073266357942994298,0.9681602395076260898355762], [ 0.1488743389816312108848260,0.4333953941292471907992659,0.6794095682990244062343274,0.8650633666889845107320967,0.9739065285171717200779640], [0,0.2695431559523449723315320,0.5190961292068118159257257,0.7301520055740493240934163,0.8870625997680952990751578,0.9782286581460569928039380], [ 0.1252334085114689154724414,0.3678314989981801937526915,0.5873179542866174472967024,0.7699026741943046870368938,0.9041172563704748566784659,0.9815606342467192506905491], [0,0.2304583159551347940655281,0.4484927510364468528779129,0.6423493394403402206439846,0.8015780907333099127942065,0.9175983992229779652065478,0.9841830547185881494728294], [ 0.1080549487073436620662447,0.3191123689278897604356718,0.5152486363581540919652907,0.6872929048116854701480198,0.8272013150697649931897947,0.9284348836635735173363911,0.9862838086968123388415973], [0,0.2011940939974345223006283,0.3941513470775633698972074,0.5709721726085388475372267,0.7244177313601700474161861,0.8482065834104272162006483,0.9372733924007059043077589,0.9879925180204854284895657], [ 0.0950125098376374401853193,0.2816035507792589132304605,0.4580167776572273863424194,0.6178762444026437484466718,0.7554044083550030338951012,0.8656312023878317438804679,0.9445750230732325760779884,0.9894009349916499325961542] ]; var weights = [ [1], [0.8888888888888888888888889,0.5555555555555555555555556], [0.6521451548625461426269361,0.3478548451374538573730639], [0.5688888888888888888888889,0.4786286704993664680412915,0.2369268850561890875142640], [0.4679139345726910473898703,0.3607615730481386075698335,0.1713244923791703450402961], [0.4179591836734693877551020,0.3818300505051189449503698,0.2797053914892766679014678,0.1294849661688696932706114], [0.3626837833783619829651504,0.3137066458778872873379622,0.2223810344533744705443560,0.1012285362903762591525314], [0.3302393550012597631645251,0.3123470770400028400686304,0.2606106964029354623187429,0.1806481606948574040584720,0.0812743883615744119718922], [0.2955242247147528701738930,0.2692667193099963550912269,0.2190863625159820439955349,0.1494513491505805931457763,0.0666713443086881375935688], [0.2729250867779006307144835,0.2628045445102466621806889,0.2331937645919904799185237,0.1862902109277342514260976,0.1255803694649046246346943,0.0556685671161736664827537], [0.2491470458134027850005624,0.2334925365383548087608499,0.2031674267230659217490645,0.1600783285433462263346525,0.1069393259953184309602547,0.0471753363865118271946160], [0.2325515532308739101945895,0.2262831802628972384120902,0.2078160475368885023125232,0.1781459807619457382800467,0.1388735102197872384636018,0.0921214998377284479144218,0.0404840047653158795200216], [0.2152638534631577901958764,0.2051984637212956039659241,0.1855383974779378137417166,0.1572031671581935345696019,0.1215185706879031846894148,0.0801580871597602098056333,0.0351194603317518630318329], [0.2025782419255612728806202,0.1984314853271115764561183,0.1861610000155622110268006,0.1662692058169939335532009,0.1395706779261543144478048,0.1071592204671719350118695,0.0703660474881081247092674,0.0307532419961172683546284], [0.1894506104550684962853967,0.1826034150449235888667637,0.1691565193950025381893121,0.1495959888165767320815017,0.1246289712555338720524763,0.0951585116824927848099251,0.0622535239386478928628438,0.0271524594117540948517806] ]; var abs = Math.abs, sqrt = Math.sqrt, pow = Math.pow, log2 = Math.log2 || function(x) { return Math.log(x) * Math.LOG2E; }, EPSILON = 1e-12, MACHINE_EPSILON = 1.12e-16; function clamp(value, min, max) { return value < min ? min : value > max ? max : value; } function getDiscriminant(a, b, c) { function split(v) { var x = v * 134217729, y = v - x, hi = y + x, lo = v - hi; return [hi, lo]; } var D = b * b - a * c, E = b * b + a * c; if (abs(D) * 3 < E) { var ad = split(a), bd = split(b), cd = split(c), p = b * b, dp = (bd[0] * bd[0] - p + 2 * bd[0] * bd[1]) + bd[1] * bd[1], q = a * c, dq = (ad[0] * cd[0] - q + ad[0] * cd[1] + ad[1] * cd[0]) + ad[1] * cd[1]; D = (p - q) + (dp - dq); } return D; } function getNormalizationFactor() { var norm = Math.max.apply(Math, arguments); return norm && (norm < 1e-8 || norm > 1e8) ? pow(2, -Math.round(log2(norm))) : 0; } return { EPSILON: EPSILON, MACHINE_EPSILON: MACHINE_EPSILON, CURVETIME_EPSILON: 1e-8, GEOMETRIC_EPSILON: 1e-7, TRIGONOMETRIC_EPSILON: 1e-8, KAPPA: 4 * (sqrt(2) - 1) / 3, isZero: function(val) { return val >= -EPSILON && val <= EPSILON; }, clamp: clamp, integrate: function(f, a, b, n) { var x = abscissas[n - 2], w = weights[n - 2], A = (b - a) * 0.5, B = A + a, i = 0, m = (n + 1) >> 1, sum = n & 1 ? w[i++] * f(B) : 0; while (i < m) { var Ax = A * x[i]; sum += w[i++] * (f(B + Ax) + f(B - Ax)); } return A * sum; }, findRoot: function(f, df, x, a, b, n, tolerance) { for (var i = 0; i < n; i++) { var fx = f(x), dx = fx / df(x), nx = x - dx; if (abs(dx) < tolerance) { x = nx; break; } if (fx > 0) { b = x; x = nx <= a ? (a + b) * 0.5 : nx; } else { a = x; x = nx >= b ? (a + b) * 0.5 : nx; } } return clamp(x, a, b); }, solveQuadratic: function(a, b, c, roots, min, max) { var x1, x2 = Infinity; if (abs(a) < EPSILON) { if (abs(b) < EPSILON) return abs(c) < EPSILON ? -1 : 0; x1 = -c / b; } else { b *= -0.5; var D = getDiscriminant(a, b, c); if (D && abs(D) < MACHINE_EPSILON) { var f = getNormalizationFactor(abs(a), abs(b), abs(c)); if (f) { a *= f; b *= f; c *= f; D = getDiscriminant(a, b, c); } } if (D >= -MACHINE_EPSILON) { var Q = D < 0 ? 0 : sqrt(D), R = b + (b < 0 ? -Q : Q); if (R === 0) { x1 = c / a; x2 = -x1; } else { x1 = R / a; x2 = c / R; } } } var count = 0, boundless = min == null, minB = min - EPSILON, maxB = max + EPSILON; if (isFinite(x1) && (boundless || x1 > minB && x1 < maxB)) roots[count++] = boundless ? x1 : clamp(x1, min, max); if (x2 !== x1 && isFinite(x2) && (boundless || x2 > minB && x2 < maxB)) roots[count++] = boundless ? x2 : clamp(x2, min, max); return count; }, solveCubic: function(a, b, c, d, roots, min, max) { var f = getNormalizationFactor(abs(a), abs(b), abs(c), abs(d)), x, b1, c2, qd, q; if (f) { a *= f; b *= f; c *= f; d *= f; } function evaluate(x0) { x = x0; var tmp = a * x; b1 = tmp + b; c2 = b1 * x + c; qd = (tmp + b1) * x + c2; q = c2 * x + d; } if (abs(a) < EPSILON) { a = b; b1 = c; c2 = d; x = Infinity; } else if (abs(d) < EPSILON) { b1 = b; c2 = c; x = 0; } else { evaluate(-(b / a) / 3); var t = q / a, r = pow(abs(t), 1/3), s = t < 0 ? -1 : 1, td = -qd / a, rd = td > 0 ? 1.324717957244746 * Math.max(r, sqrt(td)) : r, x0 = x - s * rd; if (x0 !== x) { do { evaluate(x0); x0 = qd === 0 ? x : x - q / qd / (1 + MACHINE_EPSILON); } while (s * x0 > s * x); if (abs(a) * x * x > abs(d / x)) { c2 = -d / x; b1 = (c2 - c) / x; } } } var count = Numerical.solveQuadratic(a, b1, c2, roots, min, max), boundless = min == null; if (isFinite(x) && (count === 0 || count > 0 && x !== roots[0] && x !== roots[1]) && (boundless || x > min - EPSILON && x < max + EPSILON)) roots[count++] = boundless ? x : clamp(x, min, max); return count; } }; }; var UID = { _id: 1, _pools: {}, get: function(name) { if (name) { var pool = this._pools[name]; if (!pool) pool = this._pools[name] = { _id: 1 }; return pool._id++; } else { return this._id++; } } }; var Point = Base.extend({ _class: 'Point', _readIndex: true, initialize: function Point(arg0, arg1) { var type = typeof arg0, reading = this.__read, read = 0; if (type === 'number') { var hasY = typeof arg1 === 'number'; this._set(arg0, hasY ? arg1 : arg0); if (reading) read = hasY ? 2 : 1; } else if (type === 'undefined' || arg0 === null) { this._set(0, 0); if (reading) read = arg0 === null ? 1 : 0; } else { var obj = type === 'string' ? arg0.split(/[\s,]+/) || [] : arg0; read = 1; if (Array.isArray(obj)) { this._set(+obj[0], +(obj.length > 1 ? obj[1] : obj[0])); } else if ('x' in obj) { this._set(obj.x || 0, obj.y || 0); } else if ('width' in obj) { this._set(obj.width || 0, obj.height || 0); } else if ('angle' in obj) { this._set(obj.length || 0, 0); this.setAngle(obj.angle || 0); } else { this._set(0, 0); read = 0; } } if (reading) this.__read = read; return this; }, set: '#initialize', _set: function(x, y) { this.x = x; this.y = y; return this; }, equals: function(point) { return this === point || point && (this.x === point.x && this.y === point.y || Array.isArray(point) && this.x === point[0] && this.y === point[1]) || false; }, clone: function() { return new Point(this.x, this.y); }, toString: function() { var f = Formatter.instance; return '{ x: ' + f.number(this.x) + ', y: ' + f.number(this.y) + ' }'; }, _serialize: function(options) { var f = options.formatter; return [f.number(this.x), f.number(this.y)]; }, getLength: function() { return Math.sqrt(this.x * this.x + this.y * this.y); }, setLength: function(length) { if (this.isZero()) { var angle = this._angle || 0; this._set( Math.cos(angle) * length, Math.sin(angle) * length ); } else { var scale = length / this.getLength(); if (Numerical.isZero(scale)) this.getAngle(); this._set( this.x * scale, this.y * scale ); } }, getAngle: function() { return this.getAngleInRadians.apply(this, arguments) * 180 / Math.PI; }, setAngle: function(angle) { this.setAngleInRadians.call(this, angle * Math.PI / 180); }, getAngleInDegrees: '#getAngle', setAngleInDegrees: '#setAngle', getAngleInRadians: function() { if (!arguments.length) { return this.isZero() ? this._angle || 0 : this._angle = Math.atan2(this.y, this.x); } else { var point = Point.read(arguments), div = this.getLength() * point.getLength(); if (Numerical.isZero(div)) { return NaN; } else { var a = this.dot(point) / div; return Math.acos(a < -1 ? -1 : a > 1 ? 1 : a); } } }, setAngleInRadians: function(angle) { this._angle = angle; if (!this.isZero()) { var length = this.getLength(); this._set( Math.cos(angle) * length, Math.sin(angle) * length ); } }, getQuadrant: function() { return this.x >= 0 ? this.y >= 0 ? 1 : 4 : this.y >= 0 ? 2 : 3; } }, { beans: false, getDirectedAngle: function() { var point = Point.read(arguments); return Math.atan2(this.cross(point), this.dot(point)) * 180 / Math.PI; }, getDistance: function() { var point = Point.read(arguments), x = point.x - this.x, y = point.y - this.y, d = x * x + y * y, squared = Base.read(arguments); return squared ? d : Math.sqrt(d); }, normalize: function(length) { if (length === undefined) length = 1; var current = this.getLength(), scale = current !== 0 ? length / current : 0, point = new Point(this.x * scale, this.y * scale); if (scale >= 0) point._angle = this._angle; return point; }, rotate: function(angle, center) { if (angle === 0) return this.clone(); angle = angle * Math.PI / 180; var point = center ? this.subtract(center) : this, sin = Math.sin(angle), cos = Math.cos(angle); point = new Point( point.x * cos - point.y * sin, point.x * sin + point.y * cos ); return center ? point.add(center) : point; }, transform: function(matrix) { return matrix ? matrix._transformPoint(this) : this; }, add: function() { var point = Point.read(arguments); return new Point(this.x + point.x, this.y + point.y); }, subtract: function() { var point = Point.read(arguments); return new Point(this.x - point.x, this.y - point.y); }, multiply: function() { var point = Point.read(arguments); return new Point(this.x * point.x, this.y * point.y); }, divide: function() { var point = Point.read(arguments); return new Point(this.x / point.x, this.y / point.y); }, modulo: function() { var point = Point.read(arguments); return new Point(this.x % point.x, this.y % point.y); }, negate: function() { return new Point(-this.x, -this.y); }, isInside: function() { return Rectangle.read(arguments).contains(this); }, isClose: function() { var point = Point.read(arguments), tolerance = Base.read(arguments); return this.getDistance(point) <= tolerance; }, isCollinear: function() { var point = Point.read(arguments); return Point.isCollinear(this.x, this.y, point.x, point.y); }, isColinear: '#isCollinear', isOrthogonal: function() { var point = Point.read(arguments); return Point.isOrthogonal(this.x, this.y, point.x, point.y); }, isZero: function() { var isZero = Numerical.isZero; return isZero(this.x) && isZero(this.y); }, isNaN: function() { return isNaN(this.x) || isNaN(this.y); }, isInQuadrant: function(q) { return this.x * (q > 1 && q < 4 ? -1 : 1) >= 0 && this.y * (q > 2 ? -1 : 1) >= 0; }, dot: function() { var point = Point.read(arguments); return this.x * point.x + this.y * point.y; }, cross: function() { var point = Point.read(arguments); return this.x * point.y - this.y * point.x; }, project: function() { var point = Point.read(arguments), scale = point.isZero() ? 0 : this.dot(point) / point.dot(point); return new Point( point.x * scale, point.y * scale ); }, statics: { min: function() { var point1 = Point.read(arguments), point2 = Point.read(arguments); return new Point( Math.min(point1.x, point2.x), Math.min(point1.y, point2.y) ); }, max: function() { var point1 = Point.read(arguments), point2 = Point.read(arguments); return new Point( Math.max(point1.x, point2.x), Math.max(point1.y, point2.y) ); }, random: function() { return new Point(Math.random(), Math.random()); }, isCollinear: function(x1, y1, x2, y2) { return Math.abs(x1 * y2 - y1 * x2) <= Math.sqrt((x1 * x1 + y1 * y1) * (x2 * x2 + y2 * y2)) * 1e-8; }, isOrthogonal: function(x1, y1, x2, y2) { return Math.abs(x1 * x2 + y1 * y2) <= Math.sqrt((x1 * x1 + y1 * y1) * (x2 * x2 + y2 * y2)) * 1e-8; } } }, Base.each(['round', 'ceil', 'floor', 'abs'], function(key) { var op = Math[key]; this[key] = function() { return new Point(op(this.x), op(this.y)); }; }, {})); var LinkedPoint = Point.extend({ initialize: function Point(x, y, owner, setter) { this._x = x; this._y = y; this._owner = owner; this._setter = setter; }, _set: function(x, y, _dontNotify) { this._x = x; this._y = y; if (!_dontNotify) this._owner[this._setter](this); return this; }, getX: function() { return this._x; }, setX: function(x) { this._x = x; this._owner[this._setter](this); }, getY: function() { return this._y; }, setY: function(y) { this._y = y; this._owner[this._setter](this); }, isSelected: function() { return !!(this._owner._selection & this._getSelection()); }, setSelected: function(selected) { this._owner._changeSelection(this._getSelection(), selected); }, _getSelection: function() { return this._setter === 'setPosition' ? 4 : 0; } }); var Size = Base.extend({ _class: 'Size', _readIndex: true, initialize: function Size(arg0, arg1) { var type = typeof arg0, reading = this.__read, read = 0; if (type === 'number') { var hasHeight = typeof arg1 === 'number'; this._set(arg0, hasHeight ? arg1 : arg0); if (reading) read = hasHeight ? 2 : 1; } else if (type === 'undefined' || arg0 === null) { this._set(0, 0); if (reading) read = arg0 === null ? 1 : 0; } else { var obj = type === 'string' ? arg0.split(/[\s,]+/) || [] : arg0; read = 1; if (Array.isArray(obj)) { this._set(+obj[0], +(obj.length > 1 ? obj[1] : obj[0])); } else if ('width' in obj) { this._set(obj.width || 0, obj.height || 0); } else if ('x' in obj) { this._set(obj.x || 0, obj.y || 0); } else { this._set(0, 0); read = 0; } } if (reading) this.__read = read; return this; }, set: '#initialize', _set: function(width, height) { this.width = width; this.height = height; return this; }, equals: function(size) { return size === this || size && (this.width === size.width && this.height === size.height || Array.isArray(size) && this.width === size[0] && this.height === size[1]) || false; }, clone: function() { return new Size(this.width, this.height); }, toString: function() { var f = Formatter.instance; return '{ width: ' + f.number(this.width) + ', height: ' + f.number(this.height) + ' }'; }, _serialize: function(options) { var f = options.formatter; return [f.number(this.width), f.number(this.height)]; }, add: function() { var size = Size.read(arguments); return new Size(this.width + size.width, this.height + size.height); }, subtract: function() { var size = Size.read(arguments); return new Size(this.width - size.width, this.height - size.height); }, multiply: function() { var size = Size.read(arguments); return new Size(this.width * size.width, this.height * size.height); }, divide: function() { var size = Size.read(arguments); return new Size(this.width / size.width, this.height / size.height); }, modulo: function() { var size = Size.read(arguments); return new Size(this.width % size.width, this.height % size.height); }, negate: function() { return new Size(-this.width, -this.height); }, isZero: function() { var isZero = Numerical.isZero; return isZero(this.width) && isZero(this.height); }, isNaN: function() { return isNaN(this.width) || isNaN(this.height); }, statics: { min: function(size1, size2) { return new Size( Math.min(size1.width, size2.width), Math.min(size1.height, size2.height)); }, max: function(size1, size2) { return new Size( Math.max(size1.width, size2.width), Math.max(size1.height, size2.height)); }, random: function() { return new Size(Math.random(), Math.random()); } } }, Base.each(['round', 'ceil', 'floor', 'abs'], function(key) { var op = Math[key]; this[key] = function() { return new Size(op(this.width), op(this.height)); }; }, {})); var LinkedSize = Size.extend({ initialize: function Size(width, height, owner, setter) { this._width = width; this._height = height; this._owner = owner; this._setter = setter; }, _set: function(width, height, _dontNotify) { this._width = width; this._height = height; if (!_dontNotify) this._owner[this._setter](this); return this; }, getWidth: function() { return this._width; }, setWidth: function(width) { this._width = width; this._owner[this._setter](this); }, getHeight: function() { return this._height; }, setHeight: function(height) { this._height = height; this._owner[this._setter](this); } }); var Rectangle = Base.extend({ _class: 'Rectangle', _readIndex: true, beans: true, initialize: function Rectangle(arg0, arg1, arg2, arg3) { var type = typeof arg0, read; if (type === 'number') { this._set(arg0, arg1, arg2, arg3); read = 4; } else if (type === 'undefined' || arg0 === null) { this._set(0, 0, 0, 0); read = arg0 === null ? 1 : 0; } else if (arguments.length === 1) { if (Array.isArray(arg0)) { this._set.apply(this, arg0); read = 1; } else if (arg0.x !== undefined || arg0.width !== undefined) { this._set(arg0.x || 0, arg0.y || 0, arg0.width || 0, arg0.height || 0); read = 1; } else if (arg0.from === undefined && arg0.to === undefined) { this._set(0, 0, 0, 0); Base.filter(this, arg0); read = 1; } } if (read === undefined) { var frm = Point.readNamed(arguments, 'from'), next = Base.peek(arguments), x = frm.x, y = frm.y, width, height; if (next && next.x !== undefined || Base.hasNamed(arguments, 'to')) { var to = Point.readNamed(arguments, 'to'); width = to.x - x; height = to.y - y; if (width < 0) { x = to.x; width = -width; } if (height < 0) { y = to.y; height = -height; } } else { var size = Size.read(arguments); width = size.width; height = size.height; } this._set(x, y, width, height); read = arguments.__index; var filtered = arguments.__filtered; if (filtered) this.__filtered = filtered; } if (this.__read) this.__read = read; return this; }, set: '#initialize', _set: function(x, y, width, height) { this.x = x; this.y = y; this.width = width; this.height = height; return this; }, clone: function() { return new Rectangle(this.x, this.y, this.width, this.height); }, equals: function(rect) { var rt = Base.isPlainValue(rect) ? Rectangle.read(arguments) : rect; return rt === this || rt && this.x === rt.x && this.y === rt.y && this.width === rt.width && this.height === rt.height || false; }, toString: function() { var f = Formatter.instance; return '{ x: ' + f.number(this.x) + ', y: ' + f.number(this.y) + ', width: ' + f.number(this.width) + ', height: ' + f.number(this.height) + ' }'; }, _serialize: function(options) { var f = options.formatter; return [f.number(this.x), f.number(this.y), f.number(this.width), f.number(this.height)]; }, getPoint: function(_dontLink) { var ctor = _dontLink ? Point : LinkedPoint; return new ctor(this.x, this.y, this, 'setPoint'); }, setPoint: function() { var point = Point.read(arguments); this.x = point.x; this.y = point.y; }, getSize: function(_dontLink) { var ctor = _dontLink ? Size : LinkedSize; return new ctor(this.width, this.height, this, 'setSize'); }, _fw: 1, _fh: 1, setSize: function() { var size = Size.read(arguments), sx = this._sx, sy = this._sy, w = size.width, h = size.height; if (sx) { this.x += (this.width - w) * sx; } if (sy) { this.y += (this.height - h) * sy; } this.width = w; this.height = h; this._fw = this._fh = 1; }, getLeft: function() { return this.x; }, setLeft: function(left) { if (!this._fw) { var amount = left - this.x; this.width -= this._sx === 0.5 ? amount * 2 : amount; } this.x = left; this._sx = this._fw = 0; }, getTop: function() { return this.y; }, setTop: function(top) { if (!this._fh) { var amount = top - this.y; this.height -= this._sy === 0.5 ? amount * 2 : amount; } this.y = top; this._sy = this._fh = 0; }, getRight: function() { return this.x + this.width; }, setRight: function(right) { if (!this._fw) { var amount = right - this.x; this.width = this._sx === 0.5 ? amount * 2 : amount; } this.x = right - this.width; this._sx = 1; this._fw = 0; }, getBottom: function() { return this.y + this.height; }, setBottom: function(bottom) { if (!this._fh) { var amount = bottom - this.y; this.height = this._sy === 0.5 ? amount * 2 : amount; } this.y = bottom - this.height; this._sy = 1; this._fh = 0; }, getCenterX: function() { return this.x + this.width / 2; }, setCenterX: function(x) { if (this._fw || this._sx === 0.5) { this.x = x - this.width / 2; } else { if (this._sx) { this.x += (x - this.x) * 2 * this._sx; } this.width = (x - this.x) * 2; } this._sx = 0.5; this._fw = 0; }, getCenterY: function() { return this.y + this.height / 2; }, setCenterY: function(y) { if (this._fh || this._sy === 0.5) { this.y = y - this.height / 2; } else { if (this._sy) { this.y += (y - this.y) * 2 * this._sy; } this.height = (y - this.y) * 2; } this._sy = 0.5; this._fh = 0; }, getCenter: function(_dontLink) { var ctor = _dontLink ? Point : LinkedPoint; return new ctor(this.getCenterX(), this.getCenterY(), this, 'setCenter'); }, setCenter: function() { var point = Point.read(arguments); this.setCenterX(point.x); this.setCenterY(point.y); return this; }, getArea: function() { return this.width * this.height; }, isEmpty: function() { return this.width === 0 || this.height === 0; }, contains: function(arg) { return arg && arg.width !== undefined || (Array.isArray(arg) ? arg : arguments).length === 4 ? this._containsRectangle(Rectangle.read(arguments)) : this._containsPoint(Point.read(arguments)); }, _containsPoint: function(point) { var x = point.x, y = point.y; return x >= this.x && y >= this.y && x <= this.x + this.width && y <= this.y + this.height; }, _containsRectangle: function(rect) { var x = rect.x, y = rect.y; return x >= this.x && y >= this.y && x + rect.width <= this.x + this.width && y + rect.height <= this.y + this.height; }, intersects: function() { var rect = Rectangle.read(arguments), epsilon = Base.read(arguments) || 0; return rect.x + rect.width > this.x - epsilon && rect.y + rect.height > this.y - epsilon && rect.x < this.x + this.width + epsilon && rect.y < this.y + this.height + epsilon; }, intersect: function() { var rect = Rectangle.read(arguments), x1 = Math.max(this.x, rect.x), y1 = Math.max(this.y, rect.y), x2 = Math.min(this.x + this.width, rect.x + rect.width), y2 = Math.min(this.y + this.height, rect.y + rect.height); return new Rectangle(x1, y1, x2 - x1, y2 - y1); }, unite: function() { var rect = Rectangle.read(arguments), x1 = Math.min(this.x, rect.x), y1 = Math.min(this.y, rect.y), x2 = Math.max(this.x + this.width, rect.x + rect.width), y2 = Math.max(this.y + this.height, rect.y + rect.height); return new Rectangle(x1, y1, x2 - x1, y2 - y1); }, include: function() { var point = Point.read(arguments); var x1 = Math.min(this.x, point.x), y1 = Math.min(this.y, point.y), x2 = Math.max(this.x + this.width, point.x), y2 = Math.max(this.y + this.height, point.y); return new Rectangle(x1, y1, x2 - x1, y2 - y1); }, expand: function() { var amount = Size.read(arguments), hor = amount.width, ver = amount.height; return new Rectangle(this.x - hor / 2, this.y - ver / 2, this.width + hor, this.height + ver); }, scale: function(hor, ver) { return this.expand(this.width * hor - this.width, this.height * (ver === undefined ? hor : ver) - this.height); } }, Base.each([ ['Top', 'Left'], ['Top', 'Right'], ['Bottom', 'Left'], ['Bottom', 'Right'], ['Left', 'Center'], ['Top', 'Center'], ['Right', 'Center'], ['Bottom', 'Center'] ], function(parts, index) { var part = parts.join(''), xFirst = /^[RL]/.test(part); if (index >= 4) parts[1] += xFirst ? 'Y' : 'X'; var x = parts[xFirst ? 0 : 1], y = parts[xFirst ? 1 : 0], getX = 'get' + x, getY = 'get' + y, setX = 'set' + x, setY = 'set' + y, get = 'get' + part, set = 'set' + part; this[get] = function(_dontLink) { var ctor = _dontLink ? Point : LinkedPoint; return new ctor(this[getX](), this[getY](), this, set); }; this[set] = function() { var point = Point.read(arguments); this[setX](point.x); this[setY](point.y); }; }, { beans: true } )); var LinkedRectangle = Rectangle.extend({ initialize: function Rectangle(x, y, width, height, owner, setter) { this._set(x, y, width, height, true); this._owner = owner; this._setter = setter; }, _set: function(x, y, width, height, _dontNotify) { this._x = x; this._y = y; this._width = width; this._height = height; if (!_dontNotify) this._owner[this._setter](this); return this; } }, new function() { var proto = Rectangle.prototype; return Base.each(['x', 'y', 'width', 'height'], function(key) { var part = Base.capitalize(key), internal = '_' + key; this['get' + part] = function() { return this[internal]; }; this['set' + part] = function(value) { this[internal] = value; if (!this._dontNotify) this._owner[this._setter](this); }; }, Base.each(['Point', 'Size', 'Center', 'Left', 'Top', 'Right', 'Bottom', 'CenterX', 'CenterY', 'TopLeft', 'TopRight', 'BottomLeft', 'BottomRight', 'LeftCenter', 'TopCenter', 'RightCenter', 'BottomCenter'], function(key) { var name = 'set' + key; this[name] = function() { this._dontNotify = true; proto[name].apply(this, arguments); this._dontNotify = false; this._owner[this._setter](this); }; }, { isSelected: function() { return !!(this._owner._selection & 2); }, setSelected: function(selected) { var owner = this._owner; if (owner._changeSelection) { owner._changeSelection(2, selected); } } }) ); }); var Matrix = Base.extend({ _class: 'Matrix', initialize: function Matrix(arg, _dontNotify) { var count = arguments.length, ok = true; if (count >= 6) { this._set.apply(this, arguments); } else if (count === 1 || count === 2) { if (arg instanceof Matrix) { this._set(arg._a, arg._b, arg._c, arg._d, arg._tx, arg._ty, _dontNotify); } else if (Array.isArray(arg)) { this._set.apply(this, _dontNotify ? arg.concat([_dontNotify]) : arg); } else { ok = false; } } else if (!count) { this.reset(); } else { ok = false; } if (!ok) { throw new Error('Unsupported matrix parameters'); } return this; }, set: '#initialize', _set: function(a, b, c, d, tx, ty, _dontNotify) { this._a = a; this._b = b; this._c = c; this._d = d; this._tx = tx; this._ty = ty; if (!_dontNotify) this._changed(); return this; }, _serialize: function(options, dictionary) { return Base.serialize(this.getValues(), options, true, dictionary); }, _changed: function() { var owner = this._owner; if (owner) { if (owner._applyMatrix) { owner.transform(null, true); } else { owner._changed(25); } } }, clone: function() { return new Matrix(this._a, this._b, this._c, this._d, this._tx, this._ty); }, equals: function(mx) { return mx === this || mx && this._a === mx._a && this._b === mx._b && this._c === mx._c && this._d === mx._d && this._tx === mx._tx && this._ty === mx._ty; }, toString: function() { var f = Formatter.instance; return '[[' + [f.number(this._a), f.number(this._c), f.number(this._tx)].join(', ') + '], [' + [f.number(this._b), f.number(this._d), f.number(this._ty)].join(', ') + ']]'; }, reset: function(_dontNotify) { this._a = this._d = 1; this._b = this._c = this._tx = this._ty = 0; if (!_dontNotify) this._changed(); return this; }, apply: function(recursively, _setApplyMatrix) { var owner = this._owner; if (owner) { owner.transform(null, true, Base.pick(recursively, true), _setApplyMatrix); return this.isIdentity(); } return false; }, translate: function() { var point = Point.read(arguments), x = point.x, y = point.y; this._tx += x * this._a + y * this._c; this._ty += x * this._b + y * this._d; this._changed(); return this; }, scale: function() { var scale = Point.read(arguments), center = Point.read(arguments, 0, { readNull: true }); if (center) this.translate(center); this._a *= scale.x; this._b *= scale.x; this._c *= scale.y; this._d *= scale.y; if (center) this.translate(center.negate()); this._changed(); return this; }, rotate: function(angle ) { angle *= Math.PI / 180; var center = Point.read(arguments, 1), x = center.x, y = center.y, cos = Math.cos(angle), sin = Math.sin(angle), tx = x - x * cos + y * sin, ty = y - x * sin - y * cos, a = this._a, b = this._b, c = this._c, d = this._d; this._a = cos * a + sin * c; this._b = cos * b + sin * d; this._c = -sin * a + cos * c; this._d = -sin * b + cos * d; this._tx += tx * a + ty * c; this._ty += tx * b + ty * d; this._changed(); return this; }, shear: function() { var shear = Point.read(arguments), center = Point.read(arguments, 0, { readNull: true }); if (center) this.translate(center); var a = this._a, b = this._b; this._a += shear.y * this._c; this._b += shear.y * this._d; this._c += shear.x * a; this._d += shear.x * b; if (center) this.translate(center.negate()); this._changed(); return this; }, skew: function() { var skew = Point.read(arguments), center = Point.read(arguments, 0, { readNull: true }), toRadians = Math.PI / 180, shear = new Point(Math.tan(skew.x * toRadians), Math.tan(skew.y * toRadians)); return this.shear(shear, center); }, append: function(mx, _dontNotify) { if (mx) { var a1 = this._a, b1 = this._b, c1 = this._c, d1 = this._d, a2 = mx._a, b2 = mx._c, c2 = mx._b, d2 = mx._d, tx2 = mx._tx, ty2 = mx._ty; this._a = a2 * a1 + c2 * c1; this._c = b2 * a1 + d2 * c1; this._b = a2 * b1 + c2 * d1; this._d = b2 * b1 + d2 * d1; this._tx += tx2 * a1 + ty2 * c1; this._ty += tx2 * b1 + ty2 * d1; if (!_dontNotify) this._changed(); } return this; }, prepend: function(mx, _dontNotify) { if (mx) { var a1 = this._a, b1 = this._b, c1 = this._c, d1 = this._d, tx1 = this._tx, ty1 = this._ty, a2 = mx._a, b2 = mx._c, c2 = mx._b, d2 = mx._d, tx2 = mx._tx, ty2 = mx._ty; this._a = a2 * a1 + b2 * b1; this._c = a2 * c1 + b2 * d1; this._b = c2 * a1 + d2 * b1; this._d = c2 * c1 + d2 * d1; this._tx = a2 * tx1 + b2 * ty1 + tx2; this._ty = c2 * tx1 + d2 * ty1 + ty2; if (!_dontNotify) this._changed(); } return this; }, appended: function(mx) { return this.clone().append(mx); }, prepended: function(mx) { return this.clone().prepend(mx); }, invert: function() { var a = this._a, b = this._b, c = this._c, d = this._d, tx = this._tx, ty = this._ty, det = a * d - b * c, res = null; if (det && !isNaN(det) && isFinite(tx) && isFinite(ty)) { this._a = d / det; this._b = -b / det; this._c = -c / det; this._d = a / det; this._tx = (c * ty - d * tx) / det; this._ty = (b * tx - a * ty) / det; res = this; } return res; }, inverted: function() { return this.clone().invert(); }, concatenate: '#append', preConcatenate: '#prepend', chain: '#appended', _shiftless: function() { return new Matrix(this._a, this._b, this._c, this._d, 0, 0); }, _orNullIfIdentity: function() { return this.isIdentity() ? null : this; }, isIdentity: function() { return this._a === 1 && this._b === 0 && this._c === 0 && this._d === 1 && this._tx === 0 && this._ty === 0; }, isInvertible: function() { var det = this._a * this._d - this._c * this._b; return det && !isNaN(det) && isFinite(this._tx) && isFinite(this._ty); }, isSingular: function() { return !this.isInvertible(); }, transform: function( src, dst, count) { return arguments.length < 3 ? this._transformPoint(Point.read(arguments)) : this._transformCoordinates(src, dst, count); }, _transformPoint: function(point, dest, _dontNotify) { var x = point.x, y = point.y; if (!dest) dest = new Point(); return dest._set( x * this._a + y * this._c + this._tx, x * this._b + y * this._d + this._ty, _dontNotify); }, _transformCoordinates: function(src, dst, count) { for (var i = 0, max = 2 * count; i < max; i += 2) { var x = src[i], y = src[i + 1]; dst[i] = x * this._a + y * this._c + this._tx; dst[i + 1] = x * this._b + y * this._d + this._ty; } return dst; }, _transformCorners: function(rect) { var x1 = rect.x, y1 = rect.y, x2 = x1 + rect.width, y2 = y1 + rect.height, coords = [ x1, y1, x2, y1, x2, y2, x1, y2 ]; return this._transformCoordinates(coords, coords, 4); }, _transformBounds: function(bounds, dest, _dontNotify) { var coords = this._transformCorners(bounds), min = coords.slice(0, 2), max = min.slice(); for (var i = 2; i < 8; i++) { var val = coords[i], j = i & 1; if (val < min[j]) { min[j] = val; } else if (val > max[j]) { max[j] = val; } } if (!dest) dest = new Rectangle(); return dest._set(min[0], min[1], max[0] - min[0], max[1] - min[1], _dontNotify); }, inverseTransform: function() { return this._inverseTransform(Point.read(arguments)); }, _inverseTransform: function(point, dest, _dontNotify) { var a = this._a, b = this._b, c = this._c, d = this._d, tx = this._tx, ty = this._ty, det = a * d - b * c, res = null; if (det && !isNaN(det) && isFinite(tx) && isFinite(ty)) { var x = point.x - this._tx, y = point.y - this._ty; if (!dest) dest = new Point(); res = dest._set( (x * d - y * c) / det, (y * a - x * b) / det, _dontNotify); } return res; }, decompose: function() { var a = this._a, b = this._b, c = this._c, d = this._d, det = a * d - b * c, sqrt = Math.sqrt, atan2 = Math.atan2, degrees = 180 / Math.PI, rotate, scale, skew; if (a !== 0 || b !== 0) { var r = sqrt(a * a + b * b); rotate = Math.acos(a / r) * (b > 0 ? 1 : -1); scale = [r, det / r]; skew = [atan2(a * c + b * d, r * r), 0]; } else if (c !== 0 || d !== 0) { var s = sqrt(c * c + d * d); rotate = Math.asin(c / s) * (d > 0 ? 1 : -1); scale = [det / s, s]; skew = [0, atan2(a * c + b * d, s * s)]; } else { rotate = 0; skew = scale = [0, 0]; } return { translation: this.getTranslation(), rotation: rotate * degrees, scaling: new Point(scale), skewing: new Point(skew[0] * degrees, skew[1] * degrees) }; }, getValues: function() { return [ this._a, this._b, this._c, this._d, this._tx, this._ty ]; }, getTranslation: function() { return new Point(this._tx, this._ty); }, getScaling: function() { return this.decompose().scaling; }, getRotation: function() { return this.decompose().rotation; }, applyToContext: function(ctx) { if (!this.isIdentity()) { ctx.transform(this._a, this._b, this._c, this._d, this._tx, this._ty); } } }, Base.each(['a', 'b', 'c', 'd', 'tx', 'ty'], function(key) { var part = Base.capitalize(key), prop = '_' + key; this['get' + part] = function() { return this[prop]; }; this['set' + part] = function(value) { this[prop] = value; this._changed(); }; }, {})); var Line = Base.extend({ _class: 'Line', initialize: function Line(arg0, arg1, arg2, arg3, arg4) { var asVector = false; if (arguments.length >= 4) { this._px = arg0; this._py = arg1; this._vx = arg2; this._vy = arg3; asVector = arg4; } else { this._px = arg0.x; this._py = arg0.y; this._vx = arg1.x; this._vy = arg1.y; asVector = arg2; } if (!asVector) { this._vx -= this._px; this._vy -= this._py; } }, getPoint: function() { return new Point(this._px, this._py); }, getVector: function() { return new Point(this._vx, this._vy); }, getLength: function() { return this.getVector().getLength(); }, intersect: function(line, isInfinite) { return Line.intersect( this._px, this._py, this._vx, this._vy, line._px, line._py, line._vx, line._vy, true, isInfinite); }, getSide: function(point, isInfinite) { return Line.getSide( this._px, this._py, this._vx, this._vy, point.x, point.y, true, isInfinite); }, getDistance: function(point) { return Math.abs(this.getSignedDistance(point)); }, getSignedDistance: function(point) { return Line.getSignedDistance(this._px, this._py, this._vx, this._vy, point.x, point.y, true); }, isCollinear: function(line) { return Point.isCollinear(this._vx, this._vy, line._vx, line._vy); }, isOrthogonal: function(line) { return Point.isOrthogonal(this._vx, this._vy, line._vx, line._vy); }, statics: { intersect: function(p1x, p1y, v1x, v1y, p2x, p2y, v2x, v2y, asVector, isInfinite) { if (!asVector) { v1x -= p1x; v1y -= p1y; v2x -= p2x; v2y -= p2y; } var cross = v1x * v2y - v1y * v2x; if (!Numerical.isZero(cross)) { var dx = p1x - p2x, dy = p1y - p2y, u1 = (v2x * dy - v2y * dx) / cross, u2 = (v1x * dy - v1y * dx) / cross, epsilon = 1e-12, uMin = -epsilon, uMax = 1 + epsilon; if (isInfinite || uMin < u1 && u1 < uMax && uMin < u2 && u2 < uMax) { if (!isInfinite) { u1 = u1 <= 0 ? 0 : u1 >= 1 ? 1 : u1; } return new Point( p1x + u1 * v1x, p1y + u1 * v1y); } } }, getSide: function(px, py, vx, vy, x, y, asVector, isInfinite) { if (!asVector) { vx -= px; vy -= py; } var v2x = x - px, v2y = y - py, ccw = v2x * vy - v2y * vx; if (!isInfinite && Numerical.isZero(ccw)) { ccw = (v2x * vx + v2x * vx) / (vx * vx + vy * vy); if (ccw >= 0 && ccw <= 1) ccw = 0; } return ccw < 0 ? -1 : ccw > 0 ? 1 : 0; }, getSignedDistance: function(px, py, vx, vy, x, y, asVector) { if (!asVector) { vx -= px; vy -= py; } return vx === 0 ? vy > 0 ? x - px : px - x : vy === 0 ? vx < 0 ? y - py : py - y : ((x-px) * vy - (y-py) * vx) / Math.sqrt(vx * vx + vy * vy); }, getDistance: function(px, py, vx, vy, x, y, asVector) { return Math.abs( Line.getSignedDistance(px, py, vx, vy, x, y, asVector)); } } }); var Project = PaperScopeItem.extend({ _class: 'Project', _list: 'projects', _reference: 'project', _compactSerialize: true, initialize: function Project(element) { PaperScopeItem.call(this, true); this._children = []; this._namedChildren = {}; this._activeLayer = null; this._currentStyle = new Style(null, null, this); this._view = View.create(this, element || CanvasProvider.getCanvas(1, 1)); this._selectionItems = {}; this._selectionCount = 0; this._updateVersion = 0; }, _serialize: function(options, dictionary) { return Base.serialize(this._children, options, true, dictionary); }, _changed: function(flags, item) { if (flags & 1) { var view = this._view; if (view) { view._needsUpdate = true; if (!view._requested && view._autoUpdate) view.requestUpdate(); } } var changes = this._changes; if (changes && item) { var changesById = this._changesById, id = item._id, entry = changesById[id]; if (entry) { entry.flags |= flags; } else { changes.push(changesById[id] = { item: item, flags: flags }); } } }, clear: function() { var children = this._children; for (var i = children.length - 1; i >= 0; i--) children[i].remove(); }, isEmpty: function() { return !this._children.length; }, remove: function remove() { if (!remove.base.call(this)) return false; if (this._view) this._view.remove(); return true; }, getView: function() { return this._view; }, getCurrentStyle: function() { return this._currentStyle; }, setCurrentStyle: function(style) { this._currentStyle.set(style); }, getIndex: function() { return this._index; }, getOptions: function() { return this._scope.settings; }, getLayers: function() { return this._children; }, getActiveLayer: function() { return this._activeLayer || new Layer({ project: this, insert: true }); }, getSymbolDefinitions: function() { var definitions = [], ids = {}; this.getItems({ class: SymbolItem, match: function(item) { var definition = item._definition, id = definition._id; if (!ids[id]) { ids[id] = true; definitions.push(definition); } return false; } }); return definitions; }, getSymbols: 'getSymbolDefinitions', getSelectedItems: function() { var selectionItems = this._selectionItems, items = []; for (var id in selectionItems) { var item = selectionItems[id], selection = item._selection; if ((selection & 1) && item.isInserted()) { items.push(item); } else if (!selection) { this._updateSelection(item); } } return items; }, _updateSelection: function(item) { var id = item._id, selectionItems = this._selectionItems; if (item._selection) { if (selectionItems[id] !== item) { this._selectionCount++; selectionItems[id] = item; } } else if (selectionItems[id] === item) { this._selectionCount--; delete selectionItems[id]; } }, selectAll: function() { var children = this._children; for (var i = 0, l = children.length; i < l; i++) children[i].setFullySelected(true); }, deselectAll: function() { var selectionItems = this._selectionItems; for (var i in selectionItems) selectionItems[i].setFullySelected(false); }, addLayer: function(layer) { return this.insertLayer(undefined, layer); }, insertLayer: function(index, layer) { if (layer instanceof Layer) { layer._remove(false, true); Base.splice(this._children, [layer], index, 0); layer._setProject(this, true); var name = layer._name; if (name) layer.setName(name); if (this._changes) layer._changed(5); if (!this._activeLayer) this._activeLayer = layer; } else { layer = null; } return layer; }, _insertItem: function(index, item, _created) { item = this.insertLayer(index, item) || (this._activeLayer || this._insertItem(undefined, new Layer(Item.NO_INSERT), true)) .insertChild(index, item); if (_created && item.activate) item.activate(); return item; }, getItems: function(options) { return Item._getItems(this, options); }, getItem: function(options) { return Item._getItems(this, options, null, null, true)[0] || null; }, importJSON: function(json) { this.activate(); var layer = this._activeLayer; return Base.importJSON(json, layer && layer.isEmpty() && layer); }, removeOn: function(type) { var sets = this._removeSets; if (sets) { if (type === 'mouseup') sets.mousedrag = null; var set = sets[type]; if (set) { for (var id in set) { var item = set[id]; for (var key in sets) { var other = sets[key]; if (other && other != set) delete other[item._id]; } item.remove(); } sets[type] = null; } } }, draw: function(ctx, matrix, pixelRatio) { this._updateVersion++; ctx.save(); matrix.applyToContext(ctx); var children = this._children, param = new Base({ offset: new Point(0, 0), pixelRatio: pixelRatio, viewMatrix: matrix.isIdentity() ? null : matrix, matrices: [new Matrix()], updateMatrix: true }); for (var i = 0, l = children.length; i < l; i++) { children[i].draw(ctx, param); } ctx.restore(); if (this._selectionCount > 0) { ctx.save(); ctx.strokeWidth = 1; var items = this._selectionItems, size = this._scope.settings.handleSize, version = this._updateVersion; for (var id in items) { items[id]._drawSelection(ctx, matrix, size, items, version); } ctx.restore(); } } }); var Item = Base.extend(Emitter, { statics: { extend: function extend(src) { if (src._serializeFields) src._serializeFields = Base.set({}, this.prototype._serializeFields, src._serializeFields); return extend.base.apply(this, arguments); }, NO_INSERT: { insert: false } }, _class: 'Item', _name: null, _applyMatrix: true, _canApplyMatrix: true, _canScaleStroke: false, _pivot: null, _visible: true, _blendMode: 'normal', _opacity: 1, _locked: false, _guide: false, _clipMask: false, _selection: 0, _selectBounds: true, _selectChildren: false, _serializeFields: { name: null, applyMatrix: null, matrix: new Matrix(), pivot: null, visible: true, blendMode: 'normal', opacity: 1, locked: false, guide: false, clipMask: false, selected: false, data: {} }, _prioritize: ['applyMatrix'] }, new function() { var handlers = ['onMouseDown', 'onMouseUp', 'onMouseDrag', 'onClick', 'onDoubleClick', 'onMouseMove', 'onMouseEnter', 'onMouseLeave']; return Base.each(handlers, function(name) { this._events[name] = { install: function(type) { this.getView()._countItemEvent(type, 1); }, uninstall: function(type) { this.getView()._countItemEvent(type, -1); } }; }, { _events: { onFrame: { install: function() { this.getView()._animateItem(this, true); }, uninstall: function() { this.getView()._animateItem(this, false); } }, onLoad: {}, onError: {} }, statics: { _itemHandlers: handlers } } ); }, { initialize: function Item() { }, _initialize: function(props, point) { var hasProps = props && Base.isPlainObject(props), internal = hasProps && props.internal === true, matrix = this._matrix = new Matrix(), project = hasProps && props.project || paper.project, settings = paper.settings; this._id = internal ? null : UID.get(); this._parent = this._index = null; this._applyMatrix = this._canApplyMatrix && settings.applyMatrix; if (point) matrix.translate(point); matrix._owner = this; this._style = new Style(project._currentStyle, this, project); if (internal || hasProps && props.insert == false || !settings.insertItems && !(hasProps && props.insert === true)) { this._setProject(project); } else { (hasProps && props.parent || project) ._insertItem(undefined, this, true); } if (hasProps && props !== Item.NO_INSERT) { this.set(props, { internal: true, insert: true, project: true, parent: true }); } return hasProps; }, _serialize: function(options, dictionary) { var props = {}, that = this; function serialize(fields) { for (var key in fields) { var value = that[key]; if (!Base.equals(value, key === 'leading' ? fields.fontSize * 1.2 : fields[key])) { props[key] = Base.serialize(value, options, key !== 'data', dictionary); } } } serialize(this._serializeFields); if (!(this instanceof Group)) serialize(this._style._defaults); return [ this._class, props ]; }, _changed: function(flags) { var symbol = this._symbol, cacheParent = this._parent || symbol, project = this._project; if (flags & 8) { this._bounds = this._position = this._decomposed = undefined; } if (flags & 16) { this._globalMatrix = undefined; } if (cacheParent && (flags & 72)) { Item._clearBoundsCache(cacheParent); } if (flags & 2) { Item._clearBoundsCache(this); } if (project) project._changed(flags, this); if (symbol) symbol._changed(flags); }, getId: function() { return this._id; }, getName: function() { return this._name; }, setName: function(name) { if (this._name) this._removeNamed(); if (name === (+name) + '') throw new Error( 'Names consisting only of numbers are not supported.'); var owner = this._getOwner(); if (name && owner) { var children = owner._children, namedChildren = owner._namedChildren; (namedChildren[name] = namedChildren[name] || []).push(this); if (!(name in children)) children[name] = this; } this._name = name || undefined; this._changed(256); }, getStyle: function() { return this._style; }, setStyle: function(style) { this.getStyle().set(style); } }, Base.each(['locked', 'visible', 'blendMode', 'opacity', 'guide'], function(name) { var part = Base.capitalize(name), key = '_' + name, flags = { locked: 256, visible: 265 }; this['get' + part] = function() { return this[key]; }; this['set' + part] = function(value) { if (value != this[key]) { this[key] = value; this._changed(flags[name] || 257); } }; }, {}), { beans: true, getSelection: function() { return this._selection; }, setSelection: function(selection) { if (selection !== this._selection) { this._selection = selection; var project = this._project; if (project) { project._updateSelection(this); this._changed(257); } } }, _changeSelection: function(flag, selected) { var selection = this._selection; this.setSelection(selected ? selection | flag : selection & ~flag); }, isSelected: function() { if (this._selectChildren) { var children = this._children; for (var i = 0, l = children.length; i < l; i++) if (children[i].isSelected()) return true; } return !!(this._selection & 1); }, setSelected: function(selected) { if (this._selectChildren) { var children = this._children; for (var i = 0, l = children.length; i < l; i++) children[i].setSelected(selected); } this._changeSelection(1, selected); }, isFullySelected: function() { var children = this._children, selected = !!(this._selection & 1); if (children && selected) { for (var i = 0, l = children.length; i < l; i++) if (!children[i].isFullySelected()) return false; return true; } return selected; }, setFullySelected: function(selected) { var children = this._children; if (children) { for (var i = 0, l = children.length; i < l; i++) children[i].setFullySelected(selected); } this._changeSelection(1, selected); }, isClipMask: function() { return this._clipMask; }, setClipMask: function(clipMask) { if (this._clipMask != (clipMask = !!clipMask)) { this._clipMask = clipMask; if (clipMask) { this.setFillColor(null); this.setStrokeColor(null); } this._changed(257); if (this._parent) this._parent._changed(2048); } }, getData: function() { if (!this._data) this._data = {}; return this._data; }, setData: function(data) { this._data = data; }, getPosition: function(_dontLink) { var ctor = _dontLink ? Point : LinkedPoint; var position = this._position || (this._position = this._getPositionFromBounds()); return new ctor(position.x, position.y, this, 'setPosition'); }, setPosition: function() { this.translate(Point.read(arguments).subtract(this.getPosition(true))); }, _getPositionFromBounds: function(bounds) { return this._pivot ? this._matrix._transformPoint(this._pivot) : (bounds || this.getBounds()).getCenter(true); }, getPivot: function() { var pivot = this._pivot; return pivot ? new LinkedPoint(pivot.x, pivot.y, this, 'setPivot') : null; }, setPivot: function() { this._pivot = Point.read(arguments, 0, { clone: true, readNull: true }); this._position = undefined; } }, Base.each({ getStrokeBounds: { stroke: true }, getHandleBounds: { handle: true }, getInternalBounds: { internal: true }, getDrawnBounds: { stroke: true, drawnTextBounds: true }, }, function(options, key) { this[key] = function(matrix) { return this.getBounds(matrix, options); }; }, { beans: true, getBounds: function(matrix, options) { var hasMatrix = options || matrix instanceof Matrix, opts = Base.set({}, hasMatrix ? options : matrix, this._boundsOptions); if (!opts.stroke || this.getStrokeScaling()) opts.cacheItem = this; var rect = this._getCachedBounds(hasMatrix && matrix, opts).rect; return !arguments.length ? new LinkedRectangle(rect.x, rect.y, rect.width, rect.height, this, 'setBounds') : rect; }, setBounds: function() { var rect = Rectangle.read(arguments), bounds = this.getBounds(), _matrix = this._matrix, matrix = new Matrix(), center = rect.getCenter(); matrix.translate(center); if (rect.width != bounds.width || rect.height != bounds.height) { if (!_matrix.isInvertible()) { _matrix.set(_matrix._backup || new Matrix().translate(_matrix.getTranslation())); bounds = this.getBounds(); } matrix.scale( bounds.width !== 0 ? rect.width / bounds.width : 0, bounds.height !== 0 ? rect.height / bounds.height : 0); } center = bounds.getCenter(); matrix.translate(-center.x, -center.y); this.transform(matrix); }, _getBounds: function(matrix, options) { var children = this._children; if (!children || !children.length) return new Rectangle(); Item._updateBoundsCache(this, options.cacheItem); return Item._getBounds(children, matrix, options); }, _getBoundsCacheKey: function(options, internal) { return [ options.stroke ? 1 : 0, options.handle ? 1 : 0, options.drawnTextBounds? 1 : 0, internal ? 1 : 0 ].join(''); }, _getCachedBounds: function(matrix, options, noInternal) { matrix = matrix && matrix._orNullIfIdentity(); var internal = options.internal && !noInternal, cacheItem = options.cacheItem, _matrix = internal ? null : this._matrix._orNullIfIdentity(), cacheKey = cacheItem && (!matrix || matrix.equals(_matrix)) && this._getBoundsCacheKey(options, internal), bounds = this._bounds; Item._updateBoundsCache(this._parent || this._symbol, cacheItem); if (cacheKey && bounds && cacheKey in bounds) { var cached = bounds[cacheKey]; return { rect: cached.rect.clone(), nonscaling: cached.nonscaling }; } var res = this._getBounds(matrix || _matrix, options), rect = res.rect || res, style = this._style, nonscaling = res.nonscaling || style.hasStroke() && !style.getStrokeScaling(); if (cacheKey) { if (!bounds) { this._bounds = bounds = {}; } var cached = bounds[cacheKey] = { rect: rect.clone(), nonscaling: nonscaling, internal: internal }; } return { rect: rect, nonscaling: nonscaling }; }, _getStrokeMatrix: function(matrix, options) { var parent = this.getStrokeScaling() ? null : options && options.internal ? this : this._parent || this._symbol && this._symbol._item, mx = parent ? parent.getViewMatrix().invert() : matrix; return mx && mx._shiftless(); }, statics: { _updateBoundsCache: function(parent, item) { if (parent && item) { var id = item._id, ref = parent._boundsCache = parent._boundsCache || { ids: {}, list: [] }; if (!ref.ids[id]) { ref.list.push(item); ref.ids[id] = item; } } }, _clearBoundsCache: function(item) { var cache = item._boundsCache; if (cache) { item._bounds = item._position = item._boundsCache = undefined; for (var i = 0, list = cache.list, l = list.length; i < l; i++){ var other = list[i]; if (other !== item) { other._bounds = other._position = undefined; if (other._boundsCache) Item._clearBoundsCache(other); } } } }, _getBounds: function(items, matrix, options) { var x1 = Infinity, x2 = -x1, y1 = x1, y2 = x2, nonscaling = false; options = options || {}; for (var i = 0, l = items.length; i < l; i++) { var item = items[i]; if (item._visible && !item.isEmpty()) { var bounds = item._getCachedBounds( matrix && matrix.appended(item._matrix), options, true), rect = bounds.rect; x1 = Math.min(rect.x, x1); y1 = Math.min(rect.y, y1); x2 = Math.max(rect.x + rect.width, x2); y2 = Math.max(rect.y + rect.height, y2); if (bounds.nonscaling) nonscaling = true; } } return { rect: isFinite(x1) ? new Rectangle(x1, y1, x2 - x1, y2 - y1) : new Rectangle(), nonscaling: nonscaling }; } } }), { beans: true, _decompose: function() { return this._applyMatrix ? null : this._decomposed || (this._decomposed = this._matrix.decompose()); }, getRotation: function() { var decomposed = this._decompose(); return decomposed ? decomposed.rotation : 0; }, setRotation: function(rotation) { var current = this.getRotation(); if (current != null && rotation != null) { var decomposed = this._decomposed; this.rotate(rotation - current); if (decomposed) { decomposed.rotation = rotation; this._decomposed = decomposed; } } }, getScaling: function() { var decomposed = this._decompose(), s = decomposed && decomposed.scaling; return new LinkedPoint(s ? s.x : 1, s ? s.y : 1, this, 'setScaling'); }, setScaling: function() { var current = this.getScaling(), scaling = Point.read(arguments, 0, { clone: true, readNull: true }); if (current && scaling && !current.equals(scaling)) { var rotation = this.getRotation(), decomposed = this._decomposed, matrix = new Matrix(), center = this.getPosition(true); matrix.translate(center); if (rotation) matrix.rotate(rotation); matrix.scale(scaling.x / current.x, scaling.y / current.y); if (rotation) matrix.rotate(-rotation); matrix.translate(center.negate()); this.transform(matrix); if (decomposed) { decomposed.scaling = scaling; this._decomposed = decomposed; } } }, getMatrix: function() { return this._matrix; }, setMatrix: function() { var matrix = this._matrix; matrix.initialize.apply(matrix, arguments); }, getGlobalMatrix: function(_dontClone) { var matrix = this._globalMatrix; if (matrix) { var parent = this._parent; var parents = []; while (parent) { if (!parent._globalMatrix) { matrix = null; for (var i = 0, l = parents.length; i < l; i++) { parents[i]._globalMatrix = null; } break; } parents.push(parent); parent = parent._parent; } } if (!matrix) { matrix = this._globalMatrix = this._matrix.clone(); var parent = this._parent; if (parent) matrix.prepend(parent.getGlobalMatrix(true)); } return _dontClone ? matrix : matrix.clone(); }, getViewMatrix: function() { return this.getGlobalMatrix().prepend(this.getView()._matrix); }, getApplyMatrix: function() { return this._applyMatrix; }, setApplyMatrix: function(apply) { if (this._applyMatrix = this._canApplyMatrix && !!apply) this.transform(null, true); }, getTransformContent: '#getApplyMatrix', setTransformContent: '#setApplyMatrix', }, { getProject: function() { return this._project; }, _setProject: function(project, installEvents) { if (this._project !== project) { if (this._project) this._installEvents(false); this._project = project; var children = this._children; for (var i = 0, l = children && children.length; i < l; i++) children[i]._setProject(project); installEvents = true; } if (installEvents) this._installEvents(true); }, getView: function() { return this._project._view; }, _installEvents: function _installEvents(install) { _installEvents.base.call(this, install); var children = this._children; for (var i = 0, l = children && children.length; i < l; i++) children[i]._installEvents(install); }, getLayer: function() { var parent = this; while (parent = parent._parent) { if (parent instanceof Layer) return parent; } return null; }, getParent: function() { return this._parent; }, setParent: function(item) { return item.addChild(this); }, _getOwner: '#getParent', getChildren: function() { return this._children; }, setChildren: function(items) { this.removeChildren(); this.addChildren(items); }, getFirstChild: function() { return this._children && this._children[0] || null; }, getLastChild: function() { return this._children && this._children[this._children.length - 1] || null; }, getNextSibling: function() { var owner = this._getOwner(); return owner && owner._children[this._index + 1] || null; }, getPreviousSibling: function() { var owner = this._getOwner(); return owner && owner._children[this._index - 1] || null; }, getIndex: function() { return this._index; }, equals: function(item) { return item === this || item && this._class === item._class && this._style.equals(item._style) && this._matrix.equals(item._matrix) && this._locked === item._locked && this._visible === item._visible && this._blendMode === item._blendMode && this._opacity === item._opacity && this._clipMask === item._clipMask && this._guide === item._guide && this._equals(item) || false; }, _equals: function(item) { return Base.equals(this._children, item._children); }, clone: function(options) { var copy = new this.constructor(Item.NO_INSERT), children = this._children, insert = Base.pick(options ? options.insert : undefined, options === undefined || options === true), deep = Base.pick(options ? options.deep : undefined, true); if (children) copy.copyAttributes(this); if (!children || deep) copy.copyContent(this); if (!children) copy.copyAttributes(this); if (insert) copy.insertAbove(this); var name = this._name, parent = this._parent; if (name && parent) { var children = parent._children, orig = name, i = 1; while (children[name]) name = orig + ' ' + (i++); if (name !== orig) copy.setName(name); } return copy; }, copyContent: function(source) { var children = source._children; for (var i = 0, l = children && children.length; i < l; i++) { this.addChild(children[i].clone(false), true); } }, copyAttributes: function(source, excludeMatrix) { this.setStyle(source._style); var keys = ['_locked', '_visible', '_blendMode', '_opacity', '_clipMask', '_guide']; for (var i = 0, l = keys.length; i < l; i++) { var key = keys[i]; if (source.hasOwnProperty(key)) this[key] = source[key]; } if (!excludeMatrix) this._matrix.set(source._matrix, true); this.setApplyMatrix(source._applyMatrix); this.setPivot(source._pivot); this.setSelection(source._selection); var data = source._data, name = source._name; this._data = data ? Base.clone(data) : null; if (name) this.setName(name); }, rasterize: function(resolution, insert, boundRect) { var bounds = boundRect ? boundRect : this.getStrokeBounds(), scale = (resolution || this.getView().getResolution()) / 72, topLeft = bounds.getTopLeft().floor(), bottomRight = bounds.getBottomRight().ceil(), size = new Size(bottomRight.subtract(topLeft)), raster = new Raster(Item.NO_INSERT); if (!size.isZero()) { var canvas = CanvasProvider.getCanvas(size.multiply(scale)), ctx = canvas.getContext('2d'), matrix = new Matrix().scale(scale).translate(topLeft.negate()); ctx.imageSmoothingEnabled = false; ctx.save(); matrix.applyToContext(ctx); this.draw(ctx, new Base({ matrices: [matrix] })); ctx.restore(); raster.setCanvas(canvas); } raster.transform(new Matrix().translate(topLeft.add(size.divide(2))) .scale(1 / scale)); if (insert === undefined || insert) raster.insertAbove(this); return raster; }, contains: function() { return !!this._contains( this._matrix._inverseTransform(Point.read(arguments))); }, _contains: function(point) { var children = this._children; if (children) { for (var i = children.length - 1; i >= 0; i--) { if (children[i].contains(point)) return true; } return false; } return point.isInside(this.getInternalBounds()); }, isInside: function() { return Rectangle.read(arguments).contains(this.getBounds()); }, _asPathItem: function() { return new Path.Rectangle({ rectangle: this.getInternalBounds(), matrix: this._matrix, insert: false, }); }, intersects: function(item, _matrix) { if (!(item instanceof Item)) return false; return this._asPathItem().getIntersections(item._asPathItem(), null, _matrix, true).length > 0; } }, new function() { function hitTest() { return this._hitTest( Point.read(arguments), HitResult.getOptions(arguments)); } function hitTestAll() { var point = Point.read(arguments), options = HitResult.getOptions(arguments), all = []; this._hitTest(point, Base.set({ all: all }, options)); return all; } function hitTestChildren(point, options, viewMatrix, _exclude) { var children = this._children; if (children) { for (var i = children.length - 1; i >= 0; i--) { var child = children[i]; var res = child !== _exclude && child._hitTest(point, options, viewMatrix); if (res && !options.all) return res; } } return null; } Project.inject({ hitTest: hitTest, hitTestAll: hitTestAll, _hitTest: hitTestChildren }); return { hitTest: hitTest, hitTestAll: hitTestAll, _hitTestChildren: hitTestChildren, }; }, { _hitTest: function(point, options, parentViewMatrix) { if (this._locked || !this._visible || this._guide && !options.guides || this.isEmpty()) { return null; } var matrix = this._matrix, viewMatrix = parentViewMatrix ? parentViewMatrix.appended(matrix) : this.getGlobalMatrix().prepend(this.getView()._matrix), tolerance = Math.max(options.tolerance, 1e-12), tolerancePadding = options._tolerancePadding = new Size( Path._getStrokePadding(tolerance, matrix._shiftless().invert())); point = matrix._inverseTransform(point); if (!point || !this._children && !this.getBounds({ internal: true, stroke: true, handle: true }) .expand(tolerancePadding.multiply(2))._containsPoint(point)) { return null; } var checkSelf = !(options.guides && !this._guide || options.selected && !this.isSelected() || options.type && options.type !== Base.hyphenate(this._class) || options.class && !(this instanceof options.class)), match = options.match, that = this, bounds, res; function filter(hit) { if (hit && match && !match(hit)) hit = null; if (hit && options.all) options.all.push(hit); return hit; } function checkPoint(type, part) { var pt = part ? bounds['get' + part]() : that.getPosition(); if (point.subtract(pt).divide(tolerancePadding).length <= 1) { return new HitResult(type, that, { name: part ? Base.hyphenate(part) : type, point: pt }); } } var checkPosition = options.position, checkCenter = options.center, checkBounds = options.bounds; if (checkSelf && this._parent && (checkPosition || checkCenter || checkBounds)) { if (checkCenter || checkBounds) { bounds = this.getInternalBounds(); } res = checkPosition && checkPoint('position') || checkCenter && checkPoint('center', 'Center'); if (!res && checkBounds) { var points = [ 'TopLeft', 'TopRight', 'BottomLeft', 'BottomRight', 'LeftCenter', 'TopCenter', 'RightCenter', 'BottomCenter' ]; for (var i = 0; i < 8 && !res; i++) { res = checkPoint('bounds', points[i]); } } res = filter(res); } if (!res) { res = this._hitTestChildren(point, options, viewMatrix) || checkSelf && filter(this._hitTestSelf(point, options, viewMatrix, this.getStrokeScaling() ? null : viewMatrix._shiftless().invert())) || null; } if (res && res.point) { res.point = matrix.transform(res.point); } return res; }, _hitTestSelf: function(point, options) { if (options.fill && this.hasFill() && this._contains(point)) return new HitResult('fill', this); }, matches: function(name, compare) { function matchObject(obj1, obj2) { for (var i in obj1) { if (obj1.hasOwnProperty(i)) { var val1 = obj1[i], val2 = obj2[i]; if (Base.isPlainObject(val1) && Base.isPlainObject(val2)) { if (!matchObject(val1, val2)) return false; } else if (!Base.equals(val1, val2)) { return false; } } } return true; } var type = typeof name; if (type === 'object') { for (var key in name) { if (name.hasOwnProperty(key) && !this.matches(key, name[key])) return false; } return true; } else if (type === 'function') { return name(this); } else if (name === 'match') { return compare(this); } else { var value = /^(empty|editable)$/.test(name) ? this['is' + Base.capitalize(name)]() : name === 'type' ? Base.hyphenate(this._class) : this[name]; if (name === 'class') { if (typeof compare === 'function') return this instanceof compare; value = this._class; } if (typeof compare === 'function') { return !!compare(value); } else if (compare) { if (compare.test) { return compare.test(value); } else if (Base.isPlainObject(compare)) { return matchObject(compare, value); } } return Base.equals(value, compare); } }, getItems: function(options) { return Item._getItems(this, options, this._matrix); }, getItem: function(options) { return Item._getItems(this, options, this._matrix, null, true)[0] || null; }, statics: { _getItems: function _getItems(item, options, matrix, param, firstOnly) { if (!param) { var obj = typeof options === 'object' && options, overlapping = obj && obj.overlapping, inside = obj && obj.inside, bounds = overlapping || inside, rect = bounds && Rectangle.read([bounds]); param = { items: [], recursive: obj && obj.recursive !== false, inside: !!inside, overlapping: !!overlapping, rect: rect, path: overlapping && new Path.Rectangle({ rectangle: rect, insert: false }) }; if (obj) { options = Base.filter({}, options, { recursive: true, inside: true, overlapping: true }); } } var children = item._children, items = param.items, rect = param.rect; matrix = rect && (matrix || new Matrix()); for (var i = 0, l = children && children.length; i < l; i++) { var child = children[i], childMatrix = matrix && matrix.appended(child._matrix), add = true; if (rect) { var bounds = child.getBounds(childMatrix); if (!rect.intersects(bounds)) continue; if (!(rect.contains(bounds) || param.overlapping && (bounds.contains(rect) || param.path.intersects(child, childMatrix)))) add = false; } if (add && child.matches(options)) { items.push(child); if (firstOnly) break; } if (param.recursive !== false) { _getItems(child, options, childMatrix, param, firstOnly); } if (firstOnly && items.length > 0) break; } return items; } } }, { importJSON: function(json) { var res = Base.importJSON(json, this); return res !== this ? this.addChild(res) : res; }, addChild: function(item) { return this.insertChild(undefined, item); }, insertChild: function(index, item) { var res = item ? this.insertChildren(index, [item]) : null; return res && res[0]; }, addChildren: function(items) { return this.insertChildren(this._children.length, items); }, insertChildren: function(index, items) { var children = this._children; if (children && items && items.length > 0) { items = Base.slice(items); var inserted = {}; for (var i = items.length - 1; i >= 0; i--) { var item = items[i], id = item && item._id; if (!item || inserted[id]) { items.splice(i, 1); } else { item._remove(false, true); inserted[id] = true; } } Base.splice(children, items, index, 0); var project = this._project, notifySelf = project._changes; for (var i = 0, l = items.length; i < l; i++) { var item = items[i], name = item._name; item._parent = this; item._setProject(project, true); if (name) item.setName(name); if (notifySelf) item._changed(5); } this._changed(11); } else { items = null; } return items; }, _insertItem: '#insertChild', _insertAt: function(item, offset) { var owner = item && item._getOwner(), res = item !== this && owner ? this : null; if (res) { res._remove(false, true); owner._insertItem(item._index + offset, res); } return res; }, insertAbove: function(item) { return this._insertAt(item, 1); }, insertBelow: function(item) { return this._insertAt(item, 0); }, sendToBack: function() { var owner = this._getOwner(); return owner ? owner._insertItem(0, this) : null; }, bringToFront: function() { var owner = this._getOwner(); return owner ? owner._insertItem(undefined, this) : null; }, appendTop: '#addChild', appendBottom: function(item) { return this.insertChild(0, item); }, moveAbove: '#insertAbove', moveBelow: '#insertBelow', addTo: function(owner) { return owner._insertItem(undefined, this); }, copyTo: function(owner) { return this.clone(false).addTo(owner); }, reduce: function(options) { var children = this._children; if (children && children.length === 1) { var child = children[0].reduce(options); if (this._parent) { child.insertAbove(this); this.remove(); } else { child.remove(); } return child; } return this; }, _removeNamed: function() { var owner = this._getOwner(); if (owner) { var children = owner._children, namedChildren = owner._namedChildren, name = this._name, namedArray = namedChildren[name], index = namedArray ? namedArray.indexOf(this) : -1; if (index !== -1) { if (children[name] == this) delete children[name]; namedArray.splice(index, 1); if (namedArray.length) { children[name] = namedArray[0]; } else { delete namedChildren[name]; } } } }, _remove: function(notifySelf, notifyParent) { var owner = this._getOwner(), project = this._project, index = this._index; if (this._style) this._style._dispose(); if (owner) { if (this._name) this._removeNamed(); if (index != null) { if (project._activeLayer === this) project._activeLayer = this.getNextSibling() || this.getPreviousSibling(); Base.splice(owner._children, null, index, 1); } this._installEvents(false); if (notifySelf && project._changes) this._changed(5); if (notifyParent) owner._changed(11, this); this._parent = null; return true; } return false; }, remove: function() { return this._remove(true, true); }, replaceWith: function(item) { var ok = item && item.insertBelow(this); if (ok) this.remove(); return ok; }, removeChildren: function(start, end) { if (!this._children) return null; start = start || 0; end = Base.pick(end, this._children.length); var removed = Base.splice(this._children, null, start, end - start); for (var i = removed.length - 1; i >= 0; i--) { removed[i]._remove(true, false); } if (removed.length > 0) this._changed(11); return removed; }, clear: '#removeChildren', reverseChildren: function() { if (this._children) { this._children.reverse(); for (var i = 0, l = this._children.length; i < l; i++) this._children[i]._index = i; this._changed(11); } }, isEmpty: function() { var children = this._children; return !children || !children.length; }, isEditable: function() { var item = this; while (item) { if (!item._visible || item._locked) return false; item = item._parent; } return true; }, hasFill: function() { return this.getStyle().hasFill(); }, hasStroke: function() { return this.getStyle().hasStroke(); }, hasShadow: function() { return this.getStyle().hasShadow(); }, _getOrder: function(item) { function getList(item) { var list = []; do { list.unshift(item); } while (item = item._parent); return list; } var list1 = getList(this), list2 = getList(item); for (var i = 0, l = Math.min(list1.length, list2.length); i < l; i++) { if (list1[i] != list2[i]) { return list1[i]._index < list2[i]._index ? 1 : -1; } } return 0; }, hasChildren: function() { return this._children && this._children.length > 0; }, isInserted: function() { return this._parent ? this._parent.isInserted() : false; }, isAbove: function(item) { return this._getOrder(item) === -1; }, isBelow: function(item) { return this._getOrder(item) === 1; }, isParent: function(item) { return this._parent === item; }, isChild: function(item) { return item && item._parent === this; }, isDescendant: function(item) { var parent = this; while (parent = parent._parent) { if (parent === item) return true; } return false; }, isAncestor: function(item) { return item ? item.isDescendant(this) : false; }, isSibling: function(item) { return this._parent === item._parent; }, isGroupedWith: function(item) { var parent = this._parent; while (parent) { if (parent._parent && /^(Group|Layer|CompoundPath)$/.test(parent._class) && item.isDescendant(parent)) return true; parent = parent._parent; } return false; }, }, Base.each(['rotate', 'scale', 'shear', 'skew'], function(key) { var rotate = key === 'rotate'; this[key] = function() { var value = (rotate ? Base : Point).read(arguments), center = Point.read(arguments, 0, { readNull: true }); return this.transform(new Matrix()[key](value, center || this.getPosition(true))); }; }, { translate: function() { var mx = new Matrix(); return this.transform(mx.translate.apply(mx, arguments)); }, transform: function(matrix, _applyMatrix, _applyRecursively, _setApplyMatrix) { var _matrix = this._matrix, transformMatrix = matrix && !matrix.isIdentity(), applyMatrix = (_applyMatrix || this._applyMatrix) && ((!_matrix.isIdentity() || transformMatrix) || _applyMatrix && _applyRecursively && this._children); if (!transformMatrix && !applyMatrix) return this; if (transformMatrix) { if (!matrix.isInvertible() && _matrix.isInvertible()) _matrix._backup = _matrix.getValues(); _matrix.prepend(matrix, true); var style = this._style, fillColor = style.getFillColor(true), strokeColor = style.getStrokeColor(true); if (fillColor) fillColor.transform(matrix); if (strokeColor) strokeColor.transform(matrix); } if (applyMatrix && (applyMatrix = this._transformContent(_matrix, _applyRecursively, _setApplyMatrix))) { var pivot = this._pivot; if (pivot) _matrix._transformPoint(pivot, pivot, true); _matrix.reset(true); if (_setApplyMatrix && this._canApplyMatrix) this._applyMatrix = true; } var bounds = this._bounds, position = this._position; if (transformMatrix || applyMatrix) { this._changed(25); } var decomp = transformMatrix && bounds && matrix.decompose(); if (decomp && decomp.skewing.isZero() && decomp.rotation % 90 === 0) { for (var key in bounds) { var cache = bounds[key]; if (cache.nonscaling) { delete bounds[key]; } else if (applyMatrix || !cache.internal) { var rect = cache.rect; matrix._transformBounds(rect, rect); } } this._bounds = bounds; var cached = bounds[this._getBoundsCacheKey( this._boundsOptions || {})]; if (cached) { this._position = this._getPositionFromBounds(cached.rect); } } else if (transformMatrix && position && this._pivot) { this._position = matrix._transformPoint(position, position); } return this; }, _transformContent: function(matrix, applyRecursively, setApplyMatrix) { var children = this._children; if (children) { for (var i = 0, l = children.length; i < l; i++) children[i].transform(matrix, true, applyRecursively, setApplyMatrix); return true; } }, globalToLocal: function() { return this.getGlobalMatrix(true)._inverseTransform( Point.read(arguments)); }, localToGlobal: function() { return this.getGlobalMatrix(true)._transformPoint( Point.read(arguments)); }, parentToLocal: function() { return this._matrix._inverseTransform(Point.read(arguments)); }, localToParent: function() { return this._matrix._transformPoint(Point.read(arguments)); }, fitBounds: function(rectangle, fill) { rectangle = Rectangle.read(arguments); var bounds = this.getBounds(), itemRatio = bounds.height / bounds.width, rectRatio = rectangle.height / rectangle.width, scale = (fill ? itemRatio > rectRatio : itemRatio < rectRatio) ? rectangle.width / bounds.width : rectangle.height / bounds.height, newBounds = new Rectangle(new Point(), new Size(bounds.width * scale, bounds.height * scale)); newBounds.setCenter(rectangle.getCenter()); this.setBounds(newBounds); } }), { _setStyles: function(ctx, param, viewMatrix) { var style = this._style, matrix = this._matrix; if (style.hasFill()) { ctx.fillStyle = style.getFillColor().toCanvasStyle(ctx, matrix); } if (style.hasStroke()) { ctx.strokeStyle = style.getStrokeColor().toCanvasStyle(ctx, matrix); ctx.lineWidth = style.getStrokeWidth(); var strokeJoin = style.getStrokeJoin(), strokeCap = style.getStrokeCap(), miterLimit = style.getMiterLimit(); if (strokeJoin) ctx.lineJoin = strokeJoin; if (strokeCap) ctx.lineCap = strokeCap; if (miterLimit) ctx.miterLimit = miterLimit; if (paper.support.nativeDash) { var dashArray = style.getDashArray(), dashOffset = style.getDashOffset(); if (dashArray && dashArray.length) { if ('setLineDash' in ctx) { ctx.setLineDash(dashArray); ctx.lineDashOffset = dashOffset; } else { ctx.mozDash = dashArray; ctx.mozDashOffset = dashOffset; } } } } if (style.hasShadow()) { var pixelRatio = param.pixelRatio || 1, mx = viewMatrix._shiftless().prepend( new Matrix().scale(pixelRatio, pixelRatio)), blur = mx.transform(new Point(style.getShadowBlur(), 0)), offset = mx.transform(this.getShadowOffset()); ctx.shadowColor = style.getShadowColor().toCanvasStyle(ctx); ctx.shadowBlur = blur.getLength(); ctx.shadowOffsetX = offset.x; ctx.shadowOffsetY = offset.y; } }, draw: function(ctx, param, parentStrokeMatrix) { var updateVersion = this._updateVersion = this._project._updateVersion; if (!this._visible || this._opacity === 0) return; var matrices = param.matrices, viewMatrix = param.viewMatrix, matrix = this._matrix, globalMatrix = matrices[matrices.length - 1].appended(matrix); if (!globalMatrix.isInvertible()) return; viewMatrix = viewMatrix ? viewMatrix.appended(globalMatrix) : globalMatrix; matrices.push(globalMatrix); if (param.updateMatrix) { this._globalMatrix = globalMatrix; } var blendMode = this._blendMode, opacity = this._opacity, normalBlend = blendMode === 'normal', nativeBlend = BlendMode.nativeModes[blendMode], direct = normalBlend && opacity === 1 || param.dontStart || param.clip || (nativeBlend || normalBlend && opacity < 1) && this._canComposite(), pixelRatio = param.pixelRatio || 1, mainCtx, itemOffset, prevOffset; if (!direct) { var bounds = this.getStrokeBounds(viewMatrix); if (!bounds.width || !bounds.height) { matrices.pop(); return; } prevOffset = param.offset; itemOffset = param.offset = bounds.getTopLeft().floor(); mainCtx = ctx; ctx = CanvasProvider.getContext(bounds.getSize().ceil().add(1) .multiply(pixelRatio)); if (pixelRatio !== 1) ctx.scale(pixelRatio, pixelRatio); } ctx.save(); var strokeMatrix = parentStrokeMatrix ? parentStrokeMatrix.appended(matrix) : this._canScaleStroke && !this.getStrokeScaling(true) && viewMatrix, clip = !direct && param.clipItem, transform = !strokeMatrix || clip; if (direct) { ctx.globalAlpha = opacity; if (nativeBlend) ctx.globalCompositeOperation = blendMode; } else if (transform) { ctx.translate(-itemOffset.x, -itemOffset.y); } if (transform) { (direct ? matrix : viewMatrix).applyToContext(ctx); } if (clip) { param.clipItem.draw(ctx, param.extend({ clip: true })); } if (strokeMatrix) { ctx.setTransform(pixelRatio, 0, 0, pixelRatio, 0, 0); var offset = param.offset; if (offset) ctx.translate(-offset.x, -offset.y); } this._draw(ctx, param, viewMatrix, strokeMatrix); ctx.restore(); matrices.pop(); if (param.clip && !param.dontFinish) ctx.clip(); if (!direct) { BlendMode.process(blendMode, ctx, mainCtx, opacity, itemOffset.subtract(prevOffset).multiply(pixelRatio)); CanvasProvider.release(ctx); param.offset = prevOffset; } }, _isUpdated: function(updateVersion) { var parent = this._parent; if (parent instanceof CompoundPath) return parent._isUpdated(updateVersion); var updated = this._updateVersion === updateVersion; if (!updated && parent && parent._visible && parent._isUpdated(updateVersion)) { this._updateVersion = updateVersion; updated = true; } return updated; }, _drawSelection: function(ctx, matrix, size, selectionItems, updateVersion) { var selection = this._selection, itemSelected = selection & 1, boundsSelected = selection & 2 || itemSelected && this._selectBounds, positionSelected = selection & 4; if (!this._drawSelected) itemSelected = false; if ((itemSelected || boundsSelected || positionSelected) && this._isUpdated(updateVersion)) { var layer, color = this.getSelectedColor(true) || (layer = this.getLayer()) && layer.getSelectedColor(true), mx = matrix.appended(this.getGlobalMatrix(true)), half = size / 2; ctx.strokeStyle = ctx.fillStyle = color ? color.toCanvasStyle(ctx) : '#009dec'; ctx.lineWidth=2.5; if (itemSelected) this._drawSelected(ctx, mx, selectionItems); if (positionSelected) { var pos = this.getPosition(true), parent = this._parent, point = parent ? parent.localToGlobal(pos) : pos, x = point.x, y = point.y; ctx.beginPath(); ctx.arc(x, y, half, 0, Math.PI * 2, true); ctx.stroke(); var deltas = [[0, -1], [1, 0], [0, 1], [-1, 0]], start = half, end = size + 1; for (var i = 0; i < 4; i++) { var delta = deltas[i], dx = delta[0], dy = delta[1]; ctx.moveTo(x + dx * start, y + dy * start); ctx.lineTo(x + dx * end, y + dy * end); ctx.stroke(); } } if (boundsSelected) { var coords = mx._transformCorners(this.getInternalBounds()); ctx.beginPath(); for (var i = 0; i < 8; i++) { ctx[!i ? 'moveTo' : 'lineTo'](coords[i], coords[++i]); } ctx.closePath(); ctx.stroke(); for (var i = 0; i < 8; i++) { ctx.fillRect(coords[i] - half, coords[++i] - half, size, size); } } } }, _canComposite: function() { return false; } }, Base.each(['down', 'drag', 'up', 'move'], function(key) { this['removeOn' + Base.capitalize(key)] = function() { var hash = {}; hash[key] = true; return this.removeOn(hash); }; }, { removeOn: function(obj) { for (var name in obj) { if (obj[name]) { var key = 'mouse' + name, project = this._project, sets = project._removeSets = project._removeSets || {}; sets[key] = sets[key] || {}; sets[key][this._id] = this; } } return this; } })); var Group = Item.extend({ _class: 'Group', _selectBounds: false, _selectChildren: true, _serializeFields: { children: [] }, initialize: function Group(arg) { this._children = []; this._namedChildren = {}; if (!this._initialize(arg)) this.addChildren(Array.isArray(arg) ? arg : arguments); }, _changed: function _changed(flags) { _changed.base.call(this, flags); if (flags & 2050) { this._clipItem = undefined; } }, _getClipItem: function() { var clipItem = this._clipItem; if (clipItem === undefined) { clipItem = null; var children = this._children; for (var i = 0, l = children.length; i < l; i++) { if (children[i]._clipMask) { clipItem = children[i]; break; } } this._clipItem = clipItem; } return clipItem; }, isClipped: function() { return !!this._getClipItem(); }, setClipped: function(clipped) { var child = this.getFirstChild(); if (child) child.setClipMask(clipped); }, _getBounds: function _getBounds(matrix, options) { var clipItem = this._getClipItem(); return clipItem ? clipItem._getCachedBounds( matrix && matrix.appended(clipItem._matrix), Base.set({}, options, { stroke: false })) : _getBounds.base.call(this, matrix, options); }, _hitTestChildren: function _hitTestChildren(point, options, viewMatrix) { var clipItem = this._getClipItem(); return (!clipItem || clipItem.contains(point)) && _hitTestChildren.base.call(this, point, options, viewMatrix, clipItem); }, _draw: function(ctx, param) { var clip = param.clip, clipItem = !clip && this._getClipItem(); param = param.extend({ clipItem: clipItem, clip: false }); if (clip) { ctx.beginPath(); param.dontStart = param.dontFinish = true; } else if (clipItem) { clipItem.draw(ctx, param.extend({ clip: true })); } var children = this._children; for (var i = 0, l = children.length; i < l; i++) { var item = children[i]; if (item !== clipItem) item.draw(ctx, param); } } }); var Layer = Group.extend({ _class: 'Layer', initialize: function Layer() { Group.apply(this, arguments); }, _getOwner: function() { return this._parent || this._index != null && this._project; }, isInserted: function isInserted() { return this._parent ? isInserted.base.call(this) : this._index != null; }, activate: function() { this._project._activeLayer = this; }, _hitTestSelf: function() { } }); var Shape = Item.extend({ _class: 'Shape', _applyMatrix: false, _canApplyMatrix: false, _canScaleStroke: true, _serializeFields: { type: null, size: null, radius: null }, initialize: function Shape(props, point) { this._initialize(props, point); }, _equals: function(item) { return this._type === item._type && this._size.equals(item._size) && Base.equals(this._radius, item._radius); }, copyContent: function(source) { this.setType(source._type); this.setSize(source._size); this.setRadius(source._radius); }, getType: function() { return this._type; }, setType: function(type) { this._type = type; }, getShape: '#getType', setShape: '#setType', getSize: function() { var size = this._size; return new LinkedSize(size.width, size.height, this, 'setSize'); }, setSize: function() { var size = Size.read(arguments); if (!this._size) { this._size = size.clone(); } else if (!this._size.equals(size)) { var type = this._type, width = size.width, height = size.height; if (type === 'rectangle') { this._radius.set(Size.min(this._radius, size.divide(2))); } else if (type === 'circle') { width = height = (width + height) / 2; this._radius = width / 2; } else if (type === 'ellipse') { this._radius._set(width / 2, height / 2); } this._size._set(width, height); this._changed(9); } }, getRadius: function() { var rad = this._radius; return this._type === 'circle' ? rad : new LinkedSize(rad.width, rad.height, this, 'setRadius'); }, setRadius: function(radius) { var type = this._type; if (type === 'circle') { if (radius === this._radius) return; var size = radius * 2; this._radius = radius; this._size._set(size, size); } else { radius = Size.read(arguments); if (!this._radius) { this._radius = radius.clone(); } else { if (this._radius.equals(radius)) return; this._radius.set(radius); if (type === 'rectangle') { var size = Size.max(this._size, radius.multiply(2)); this._size.set(size); } else if (type === 'ellipse') { this._size._set(radius.width * 2, radius.height * 2); } } } this._changed(9); }, isEmpty: function() { return false; }, toPath: function(insert) { var path = new Path[Base.capitalize(this._type)]({ center: new Point(), size: this._size, radius: this._radius, insert: false }); path.copyAttributes(this); if (paper.settings.applyMatrix) path.setApplyMatrix(true); if (insert === undefined || insert) path.insertAbove(this); return path; }, toShape: '#clone', _asPathItem: function() { return this.toPath(false); }, _draw: function(ctx, param, viewMatrix, strokeMatrix) { var style = this._style, hasFill = style.hasFill(), hasStroke = style.hasStroke(), dontPaint = param.dontFinish || param.clip, untransformed = !strokeMatrix; if (hasFill || hasStroke || dontPaint) { var type = this._type, radius = this._radius, isCircle = type === 'circle'; if (!param.dontStart) ctx.beginPath(); if (untransformed && isCircle) { ctx.arc(0, 0, radius, 0, Math.PI * 2, true); } else { var rx = isCircle ? radius : radius.width, ry = isCircle ? radius : radius.height, size = this._size, width = size.width, height = size.height; if (untransformed && type === 'rectangle' && rx === 0 && ry === 0) { ctx.rect(-width / 2, -height / 2, width, height); } else { var x = width / 2, y = height / 2, kappa = 1 - 0.5522847498307936, cx = rx * kappa, cy = ry * kappa, c = [ -x, -y + ry, -x, -y + cy, -x + cx, -y, -x + rx, -y, x - rx, -y, x - cx, -y, x, -y + cy, x, -y + ry, x, y - ry, x, y - cy, x - cx, y, x - rx, y, -x + rx, y, -x + cx, y, -x, y - cy, -x, y - ry ]; if (strokeMatrix) strokeMatrix.transform(c, c, 32); ctx.moveTo(c[0], c[1]); ctx.bezierCurveTo(c[2], c[3], c[4], c[5], c[6], c[7]); if (x !== rx) ctx.lineTo(c[8], c[9]); ctx.bezierCurveTo(c[10], c[11], c[12], c[13], c[14], c[15]); if (y !== ry) ctx.lineTo(c[16], c[17]); ctx.bezierCurveTo(c[18], c[19], c[20], c[21], c[22], c[23]); if (x !== rx) ctx.lineTo(c[24], c[25]); ctx.bezierCurveTo(c[26], c[27], c[28], c[29], c[30], c[31]); } } ctx.closePath(); } if (!dontPaint && (hasFill || hasStroke)) { this._setStyles(ctx, param, viewMatrix); if (hasFill) { ctx.fill(style.getFillRule()); ctx.shadowColor = 'rgba(0,0,0,0)'; } if (hasStroke) ctx.stroke(); } }, _canComposite: function() { return !(this.hasFill() && this.hasStroke()); }, _getBounds: function(matrix, options) { var rect = new Rectangle(this._size).setCenter(0, 0), style = this._style, strokeWidth = options.stroke && style.hasStroke() && style.getStrokeWidth(); if (matrix) rect = matrix._transformBounds(rect); return strokeWidth ? rect.expand(Path._getStrokePadding(strokeWidth, this._getStrokeMatrix(matrix, options))) : rect; } }, new function() { function getCornerCenter(that, point, expand) { var radius = that._radius; if (!radius.isZero()) { var halfSize = that._size.divide(2); for (var q = 1; q <= 4; q++) { var dir = new Point(q > 1 && q < 4 ? -1 : 1, q > 2 ? -1 : 1), corner = dir.multiply(halfSize), center = corner.subtract(dir.multiply(radius)), rect = new Rectangle( expand ? corner.add(dir.multiply(expand)) : corner, center); if (rect.contains(point)) return { point: center, quadrant: q }; } } } function isOnEllipseStroke(point, radius, padding, quadrant) { var vector = point.divide(radius); return (!quadrant || vector.isInQuadrant(quadrant)) && vector.subtract(vector.normalize()).multiply(radius) .divide(padding).length <= 1; } return { _contains: function _contains(point) { if (this._type === 'rectangle') { var center = getCornerCenter(this, point); return center ? point.subtract(center.point).divide(this._radius) .getLength() <= 1 : _contains.base.call(this, point); } else { return point.divide(this.size).getLength() <= 0.5; } }, _hitTestSelf: function _hitTestSelf(point, options, viewMatrix, strokeMatrix) { var hit = false, style = this._style, hitStroke = options.stroke && style.hasStroke(), hitFill = options.fill && style.hasFill(); if (hitStroke || hitFill) { var type = this._type, radius = this._radius, strokeRadius = hitStroke ? style.getStrokeWidth() / 2 : 0, strokePadding = options._tolerancePadding.add( Path._getStrokePadding(strokeRadius, !style.getStrokeScaling() && strokeMatrix)); if (type === 'rectangle') { var padding = strokePadding.multiply(2), center = getCornerCenter(this, point, padding); if (center) { hit = isOnEllipseStroke(point.subtract(center.point), radius, strokePadding, center.quadrant); } else { var rect = new Rectangle(this._size).setCenter(0, 0), outer = rect.expand(padding), inner = rect.expand(padding.negate()); hit = outer._containsPoint(point) && !inner._containsPoint(point); } } else { hit = isOnEllipseStroke(point, radius, strokePadding); } } return hit ? new HitResult(hitStroke ? 'stroke' : 'fill', this) : _hitTestSelf.base.apply(this, arguments); } }; }, { statics: new function() { function createShape(type, point, size, radius, args) { var item = new Shape(Base.getNamed(args), point); item._type = type; item._size = size; item._radius = radius; return item; } return { Circle: function() { var center = Point.readNamed(arguments, 'center'), radius = Base.readNamed(arguments, 'radius'); return createShape('circle', center, new Size(radius * 2), radius, arguments); }, Rectangle: function() { var rect = Rectangle.readNamed(arguments, 'rectangle'), radius = Size.min(Size.readNamed(arguments, 'radius'), rect.getSize(true).divide(2)); return createShape('rectangle', rect.getCenter(true), rect.getSize(true), radius, arguments); }, Ellipse: function() { var ellipse = Shape._readEllipse(arguments), radius = ellipse.radius; return createShape('ellipse', ellipse.center, radius.multiply(2), radius, arguments); }, _readEllipse: function(args) { var center, radius; if (Base.hasNamed(args, 'radius')) { center = Point.readNamed(args, 'center'); radius = Size.readNamed(args, 'radius'); } else { var rect = Rectangle.readNamed(args, 'rectangle'); center = rect.getCenter(true); radius = rect.getSize(true).divide(2); } return { center: center, radius: radius }; } }; }}); var Raster = Item.extend({ _class: 'Raster', _applyMatrix: false, _canApplyMatrix: false, _boundsOptions: { stroke: false, handle: false }, _serializeFields: { crossOrigin: null, source: null }, _prioritize: ['crossOrigin'], _smoothing: false, initialize: function Raster(object, position) { if (!this._initialize(object, position !== undefined && Point.read(arguments, 1))) { var image = typeof object === 'string' ? document.getElementById(object) : object; if (image) { this.setImage(image); } else { this.setSource(object); } } if (!this._size) { this._size = new Size(); this._loaded = false; } }, _equals: function(item) { return this.getSource() === item.getSource(); }, copyContent: function(source) { var image = source._image, canvas = source._canvas; if (image) { this._setImage(image); } else if (canvas) { var copyCanvas = CanvasProvider.getCanvas(source._size); copyCanvas.getContext('2d').drawImage(canvas, 0, 0); this._setImage(copyCanvas); } this._crossOrigin = source._crossOrigin; }, getSize: function() { var size = this._size; return new LinkedSize(size ? size.width : 0, size ? size.height : 0, this, 'setSize'); }, setSize: function() { var size = Size.read(arguments); if (!size.equals(this._size)) { if (size.width > 0 && size.height > 0) { var element = this.getElement(); this._setImage(CanvasProvider.getCanvas(size)); if (element) this.getContext(true).drawImage(element, 0, 0, size.width, size.height); } else { if (this._canvas) CanvasProvider.release(this._canvas); this._size = size.clone(); } } }, getWidth: function() { return this._size ? this._size.width : 0; }, setWidth: function(width) { this.setSize(width, this.getHeight()); }, getHeight: function() { return this._size ? this._size.height : 0; }, setHeight: function(height) { this.setSize(this.getWidth(), height); }, getLoaded: function() { return this._loaded; }, isEmpty: function() { var size = this._size; return !size || size.width === 0 && size.height === 0; }, getResolution: function() { var matrix = this._matrix, orig = new Point(0, 0).transform(matrix), u = new Point(1, 0).transform(matrix).subtract(orig), v = new Point(0, 1).transform(matrix).subtract(orig); return new Size( 72 / u.getLength(), 72 / v.getLength() ); }, getPpi: '#getResolution', getImage: function() { return this._image; }, setImage: function(image) { var that = this; function emit(event) { var view = that.getView(), type = event && event.type || 'load'; if (view && that.responds(type)) { paper = view._scope; that.emit(type, new Event(event)); } } this._setImage(image); if (this._loaded) { setTimeout(emit, 0); } else if (image) { DomEvent.add(image, { load: function(event) { that._setImage(image); emit(event); }, error: emit }); } }, _setImage: function(image) { if (this._canvas) CanvasProvider.release(this._canvas); if (image && image.getContext) { this._image = null; this._canvas = image; this._loaded = true; } else { this._image = image; this._canvas = null; this._loaded = !!(image && image.src && image.complete); } this._size = new Size( image ? image.naturalWidth || image.width : 0, image ? image.naturalHeight || image.height : 0); this._context = null; this._changed(1033); }, getCanvas: function() { if (!this._canvas) { var ctx = CanvasProvider.getContext(this._size); try { if (this._image) ctx.drawImage(this._image, 0, 0); this._canvas = ctx.canvas; } catch (e) { CanvasProvider.release(ctx); } } return this._canvas; }, setCanvas: '#setImage', getContext: function(modify) { if (!this._context) this._context = this.getCanvas().getContext('2d'); if (modify) { this._image = null; this._changed(1025); } return this._context; }, setContext: function(context) { this._context = context; }, getSource: function() { var image = this._image; return image && image.src || this.toDataURL(); }, setSource: function(src) { var image = new self.Image(), crossOrigin = this._crossOrigin; if (crossOrigin) image.crossOrigin = crossOrigin; image.src = src; this.setImage(image); }, getCrossOrigin: function() { var image = this._image; return image && image.crossOrigin || this._crossOrigin || ''; }, setCrossOrigin: function(crossOrigin) { this._crossOrigin = crossOrigin; var image = this._image; if (image) image.crossOrigin = crossOrigin; }, getSmoothing: function() { return this._smoothing; }, setSmoothing: function(smoothing) { this._smoothing = smoothing; this._changed(257); }, getElement: function() { return this._canvas || this._loaded && this._image; } }, { beans: false, getSubCanvas: function() { var rect = Rectangle.read(arguments), ctx = CanvasProvider.getContext(rect.getSize()); var clippedStartX = Math.max(0, rect.x); var clippedStartY = Math.max(0, rect.y); var clippedEndX = Math.min(this.getCanvas().width, rect.x + rect.width); var clippedEndY = Math.min(this.getCanvas().height, rect.y + rect.height); ctx.drawImage(this.getCanvas(), clippedStartX, clippedStartY, clippedEndX - clippedStartX, clippedEndY - clippedStartY, clippedStartX - rect.x, clippedStartY - rect.y, clippedEndX - clippedStartX, clippedEndY - clippedStartY ); return ctx.canvas; }, getSubRaster: function() { var rect = Rectangle.read(arguments), raster = new Raster(Item.NO_INSERT); raster._setImage(this.getSubCanvas(rect)); raster.translate(rect.getCenter().subtract(this.getSize().divide(2))); raster._matrix.prepend(this._matrix); raster.insertAbove(this); return raster; }, toDataURL: function() { var image = this._image, src = image && image.src; if (/^data:/.test(src)) return src; var canvas = this.getCanvas(); return canvas ? canvas.toDataURL.apply(canvas, arguments) : null; }, drawImage: function(image ) { var point = Point.read(arguments, 1); this.getContext(true).drawImage(image, point.x, point.y); }, getAverageColor: function(object) { var bounds, path; if (!object) { bounds = this.getBounds(); } else if (object instanceof PathItem) { path = object; bounds = object.getBounds(); } else if (typeof object === 'object') { if ('width' in object) { bounds = new Rectangle(object); } else if ('x' in object) { bounds = new Rectangle(object.x - 0.5, object.y - 0.5, 1, 1); } } if (!bounds) return null; var sampleSize = 32, width = Math.min(bounds.width, sampleSize), height = Math.min(bounds.height, sampleSize); var ctx = Raster._sampleContext; if (!ctx) { ctx = Raster._sampleContext = CanvasProvider.getContext( new Size(sampleSize)); } else { ctx.clearRect(0, 0, sampleSize + 1, sampleSize + 1); } ctx.save(); var matrix = new Matrix() .scale(width / bounds.width, height / bounds.height) .translate(-bounds.x, -bounds.y); matrix.applyToContext(ctx); if (path) path.draw(ctx, new Base({ clip: true, matrices: [matrix] })); this._matrix.applyToContext(ctx); var element = this.getElement(), size = this._size; if (element) ctx.drawImage(element, -size.width / 2, -size.height / 2); ctx.restore(); var pixels = ctx.getImageData(0.5, 0.5, Math.ceil(width), Math.ceil(height)).data, channels = [0, 0, 0], total = 0; for (var i = 0, l = pixels.length; i < l; i += 4) { var alpha = pixels[i + 3]; total += alpha; alpha /= 255; channels[0] += pixels[i] * alpha; channels[1] += pixels[i + 1] * alpha; channels[2] += pixels[i + 2] * alpha; } for (var i = 0; i < 3; i++) channels[i] /= total; return total ? Color.read(channels) : null; }, getPixel: function() { var point = Point.read(arguments); var data = this.getContext().getImageData(point.x, point.y, 1, 1).data; return new Color('rgb', [data[0] / 255, data[1] / 255, data[2] / 255], data[3] / 255); }, setPixel: function() { var point = Point.read(arguments), color = Color.read(arguments), components = color._convert('rgb'), alpha = color._alpha, ctx = this.getContext(true), imageData = ctx.createImageData(1, 1), data = imageData.data; data[0] = components[0] * 255; data[1] = components[1] * 255; data[2] = components[2] * 255; data[3] = alpha != null ? alpha * 255 : 255; ctx.putImageData(imageData, point.x, point.y); }, createImageData: function() { var size = Size.read(arguments); return this.getContext().createImageData(size.width, size.height); }, getImageData: function() { var rect = Rectangle.read(arguments); if (rect.isEmpty()) rect = new Rectangle(this._size); return this.getContext().getImageData(rect.x, rect.y, rect.width, rect.height); }, setImageData: function(data ) { var point = Point.read(arguments, 1); this.getContext(true).putImageData(data, point.x, point.y); }, _getBounds: function(matrix, options) { var rect = new Rectangle(this._size).setCenter(0, 0); return matrix ? matrix._transformBounds(rect) : rect; }, _hitTestSelf: function(point) { if (this._contains(point)) { var that = this; return new HitResult('pixel', that, { offset: point.add(that._size.divide(2)).round(), color: { get: function() { return that.getPixel(this.offset); } } }); } }, _draw: function(ctx, param, viewMatrix) { var element = this.getElement(); if (element) { ctx.globalAlpha = this._opacity; this._setStyles(ctx, param, viewMatrix); DomElement.setPrefixed( ctx, 'imageSmoothingEnabled', this._smoothing ); ctx.drawImage(element, -this._size.width / 2, -this._size.height / 2); } }, _canComposite: function() { return true; } }); var SymbolItem = Item.extend({ _class: 'SymbolItem', _applyMatrix: false, _canApplyMatrix: false, _boundsOptions: { stroke: true }, _serializeFields: { symbol: null }, initialize: function SymbolItem(arg0, arg1) { if (!this._initialize(arg0, arg1 !== undefined && Point.read(arguments, 1))) this.setDefinition(arg0 instanceof SymbolDefinition ? arg0 : new SymbolDefinition(arg0)); }, _equals: function(item) { return this._definition === item._definition; }, copyContent: function(source) { this.setDefinition(source._definition); }, getDefinition: function() { return this._definition; }, setDefinition: function(definition) { this._definition = definition; this._changed(9); }, getSymbol: '#getDefinition', setSymbol: '#setDefinition', isEmpty: function() { return this._definition._item.isEmpty(); }, _getBounds: function(matrix, options) { var item = this._definition._item; return item._getCachedBounds(item._matrix.prepended(matrix), options); }, _hitTestSelf: function(point, options, viewMatrix) { var res = this._definition._item._hitTest(point, options, viewMatrix); if (res) res.item = this; return res; }, _draw: function(ctx, param) { this._definition._item.draw(ctx, param); } }); var SymbolDefinition = Base.extend({ _class: 'SymbolDefinition', initialize: function SymbolDefinition(item, dontCenter) { this._id = UID.get(); this.project = paper.project; if (item) this.setItem(item, dontCenter); }, _serialize: function(options, dictionary) { return dictionary.add(this, function() { return Base.serialize([this._class, this._item], options, false, dictionary); }); }, _changed: function(flags) { if (flags & 8) Item._clearBoundsCache(this); if (flags & 1) this.project._changed(flags); }, getItem: function() { return this._item; }, setItem: function(item, _dontCenter) { if (item._symbol) item = item.clone(); if (this._item) this._item._symbol = null; this._item = item; item.remove(); item.setSelected(false); if (!_dontCenter) item.setPosition(new Point()); item._symbol = this; this._changed(9); }, getDefinition: '#getItem', setDefinition: '#setItem', place: function(position) { return new SymbolItem(this, position); }, clone: function() { return new SymbolDefinition(this._item.clone(false)); }, equals: function(symbol) { return symbol === this || symbol && this._item.equals(symbol._item) || false; } }); var HitResult = Base.extend({ _class: 'HitResult', initialize: function HitResult(type, item, values) { this.type = type; this.item = item; if (values) this.inject(values); }, statics: { getOptions: function(args) { var options = args && Base.read(args); return Base.set({ type: null, tolerance: paper.settings.hitTolerance, fill: !options, stroke: !options, segments: !options, handles: false, ends: false, position: false, center: false, bounds: false, guides: false, selected: false }, options); } } }); var Segment = Base.extend({ _class: 'Segment', beans: true, _selection: 0, initialize: function Segment(arg0, arg1, arg2, arg3, arg4, arg5) { var count = arguments.length, point, handleIn, handleOut, selection; if (count > 0) { if (arg0 == null || typeof arg0 === 'object') { if (count === 1 && arg0 && 'point' in arg0) { point = arg0.point; handleIn = arg0.handleIn; handleOut = arg0.handleOut; selection = arg0.selection; } else { point = arg0; handleIn = arg1; handleOut = arg2; selection = arg3; } } else { point = [ arg0, arg1 ]; handleIn = arg2 !== undefined ? [ arg2, arg3 ] : null; handleOut = arg4 !== undefined ? [ arg4, arg5 ] : null; } } new SegmentPoint(point, this, '_point'); new SegmentPoint(handleIn, this, '_handleIn'); new SegmentPoint(handleOut, this, '_handleOut'); if (selection) this.setSelection(selection); }, _serialize: function(options, dictionary) { var point = this._point, selection = this._selection, obj = selection || this.hasHandles() ? [point, this._handleIn, this._handleOut] : point; if (selection) obj.push(selection); return Base.serialize(obj, options, true, dictionary); }, _changed: function(point) { var path = this._path; if (!path) return; var curves = path._curves, index = this._index, curve; if (curves) { if ((!point || point === this._point || point === this._handleIn) && (curve = index > 0 ? curves[index - 1] : path._closed ? curves[curves.length - 1] : null)) curve._changed(); if ((!point || point === this._point || point === this._handleOut) && (curve = curves[index])) curve._changed(); } path._changed(41); }, getPoint: function() { return this._point; }, setPoint: function() { this._point.set(Point.read(arguments)); }, getHandleIn: function() { return this._handleIn; }, setHandleIn: function() { this._handleIn.set(Point.read(arguments)); }, getHandleOut: function() { return this._handleOut; }, setHandleOut: function() { this._handleOut.set(Point.read(arguments)); }, hasHandles: function() { return !this._handleIn.isZero() || !this._handleOut.isZero(); }, isSmooth: function() { var handleIn = this._handleIn, handleOut = this._handleOut; return !handleIn.isZero() && !handleOut.isZero() && handleIn.isCollinear(handleOut); }, clearHandles: function() { this._handleIn._set(0, 0); this._handleOut._set(0, 0); }, getSelection: function() { return this._selection; }, setSelection: function(selection) { var oldSelection = this._selection, path = this._path; this._selection = selection = selection || 0; if (path && selection !== oldSelection) { path._updateSelection(this, oldSelection, selection); path._changed(257); } }, _changeSelection: function(flag, selected) { var selection = this._selection; this.setSelection(selected ? selection | flag : selection & ~flag); }, isSelected: function() { return !!(this._selection & 7); }, setSelected: function(selected) { this._changeSelection(7, selected); }, getIndex: function() { return this._index !== undefined ? this._index : null; }, getPath: function() { return this._path || null; }, getCurve: function() { var path = this._path, index = this._index; if (path) { if (index > 0 && !path._closed && index === path._segments.length - 1) index--; return path.getCurves()[index] || null; } return null; }, getLocation: function() { var curve = this.getCurve(); return curve ? new CurveLocation(curve, this === curve._segment1 ? 0 : 1) : null; }, getNext: function() { var segments = this._path && this._path._segments; return segments && (segments[this._index + 1] || this._path._closed && segments[0]) || null; }, smooth: function(options, _first, _last) { var opts = options || {}, type = opts.type, factor = opts.factor, prev = this.getPrevious(), next = this.getNext(), p0 = (prev || this)._point, p1 = this._point, p2 = (next || this)._point, d1 = p0.getDistance(p1), d2 = p1.getDistance(p2); if (!type || type === 'catmull-rom') { var a = factor === undefined ? 0.5 : factor, d1_a = Math.pow(d1, a), d1_2a = d1_a * d1_a, d2_a = Math.pow(d2, a), d2_2a = d2_a * d2_a; if (!_first && prev) { var A = 2 * d2_2a + 3 * d2_a * d1_a + d1_2a, N = 3 * d2_a * (d2_a + d1_a); this.setHandleIn(N !== 0 ? new Point( (d2_2a * p0._x + A * p1._x - d1_2a * p2._x) / N - p1._x, (d2_2a * p0._y + A * p1._y - d1_2a * p2._y) / N - p1._y) : new Point()); } if (!_last && next) { var A = 2 * d1_2a + 3 * d1_a * d2_a + d2_2a, N = 3 * d1_a * (d1_a + d2_a); this.setHandleOut(N !== 0 ? new Point( (d1_2a * p2._x + A * p1._x - d2_2a * p0._x) / N - p1._x, (d1_2a * p2._y + A * p1._y - d2_2a * p0._y) / N - p1._y) : new Point()); } } else if (type === 'geometric') { if (prev && next) { var vector = p0.subtract(p2), t = factor === undefined ? 0.4 : factor, k = t * d1 / (d1 + d2); if (!_first) this.setHandleIn(vector.multiply(k)); if (!_last) this.setHandleOut(vector.multiply(k - t)); } } else { throw new Error('Smoothing method \'' + type + '\' not supported.'); } }, getPrevious: function() { var segments = this._path && this._path._segments; return segments && (segments[this._index - 1] || this._path._closed && segments[segments.length - 1]) || null; }, isFirst: function() { return !this._index; }, isLast: function() { var path = this._path; return path && this._index === path._segments.length - 1 || false; }, reverse: function() { var handleIn = this._handleIn, handleOut = this._handleOut, tmp = handleIn.clone(); handleIn.set(handleOut); handleOut.set(tmp); }, reversed: function() { return new Segment(this._point, this._handleOut, this._handleIn); }, remove: function() { return this._path ? !!this._path.removeSegment(this._index) : false; }, clone: function() { return new Segment(this._point, this._handleIn, this._handleOut); }, equals: function(segment) { return segment === this || segment && this._class === segment._class && this._point.equals(segment._point) && this._handleIn.equals(segment._handleIn) && this._handleOut.equals(segment._handleOut) || false; }, toString: function() { var parts = [ 'point: ' + this._point ]; if (!this._handleIn.isZero()) parts.push('handleIn: ' + this._handleIn); if (!this._handleOut.isZero()) parts.push('handleOut: ' + this._handleOut); return '{ ' + parts.join(', ') + ' }'; }, transform: function(matrix) { this._transformCoordinates(matrix, new Array(6), true); this._changed(); }, interpolate: function(from, to, factor) { var u = 1 - factor, v = factor, point1 = from._point, point2 = to._point, handleIn1 = from._handleIn, handleIn2 = to._handleIn, handleOut2 = to._handleOut, handleOut1 = from._handleOut; this._point._set( u * point1._x + v * point2._x, u * point1._y + v * point2._y, true); this._handleIn._set( u * handleIn1._x + v * handleIn2._x, u * handleIn1._y + v * handleIn2._y, true); this._handleOut._set( u * handleOut1._x + v * handleOut2._x, u * handleOut1._y + v * handleOut2._y, true); this._changed(); }, _transformCoordinates: function(matrix, coords, change) { var point = this._point, handleIn = !change || !this._handleIn.isZero() ? this._handleIn : null, handleOut = !change || !this._handleOut.isZero() ? this._handleOut : null, x = point._x, y = point._y, i = 2; coords[0] = x; coords[1] = y; if (handleIn) { coords[i++] = handleIn._x + x; coords[i++] = handleIn._y + y; } if (handleOut) { coords[i++] = handleOut._x + x; coords[i++] = handleOut._y + y; } if (matrix) { matrix._transformCoordinates(coords, coords, i / 2); x = coords[0]; y = coords[1]; if (change) { point._x = x; point._y = y; i = 2; if (handleIn) { handleIn._x = coords[i++] - x; handleIn._y = coords[i++] - y; } if (handleOut) { handleOut._x = coords[i++] - x; handleOut._y = coords[i++] - y; } } else { if (!handleIn) { coords[i++] = x; coords[i++] = y; } if (!handleOut) { coords[i++] = x; coords[i++] = y; } } } return coords; } }); var SegmentPoint = Point.extend({ initialize: function SegmentPoint(point, owner, key) { var x, y, selected; if (!point) { x = y = 0; } else if ((x = point[0]) !== undefined) { y = point[1]; } else { var pt = point; if ((x = pt.x) === undefined) { pt = Point.read(arguments); x = pt.x; } y = pt.y; selected = pt.selected; } this._x = x; this._y = y; this._owner = owner; owner[key] = this; if (selected) this.setSelected(true); }, _set: function(x, y) { this._x = x; this._y = y; this._owner._changed(this); return this; }, getX: function() { return this._x; }, setX: function(x) { this._x = x; this._owner._changed(this); }, getY: function() { return this._y; }, setY: function(y) { this._y = y; this._owner._changed(this); }, isZero: function() { var isZero = Numerical.isZero; return isZero(this._x) && isZero(this._y); }, isSelected: function() { return !!(this._owner._selection & this._getSelection()); }, setSelected: function(selected) { this._owner._changeSelection(this._getSelection(), selected); }, _getSelection: function() { var owner = this._owner; return this === owner._point ? 1 : this === owner._handleIn ? 2 : this === owner._handleOut ? 4 : 0; } }); var Curve = Base.extend({ _class: 'Curve', beans: true, initialize: function Curve(arg0, arg1, arg2, arg3, arg4, arg5, arg6, arg7) { var count = arguments.length, seg1, seg2, point1, point2, handle1, handle2; if (count === 3) { this._path = arg0; seg1 = arg1; seg2 = arg2; } else if (!count) { seg1 = new Segment(); seg2 = new Segment(); } else if (count === 1) { if ('segment1' in arg0) { seg1 = new Segment(arg0.segment1); seg2 = new Segment(arg0.segment2); } else if ('point1' in arg0) { point1 = arg0.point1; handle1 = arg0.handle1; handle2 = arg0.handle2; point2 = arg0.point2; } else if (Array.isArray(arg0)) { point1 = [arg0[0], arg0[1]]; point2 = [arg0[6], arg0[7]]; handle1 = [arg0[2] - arg0[0], arg0[3] - arg0[1]]; handle2 = [arg0[4] - arg0[6], arg0[5] - arg0[7]]; } } else if (count === 2) { seg1 = new Segment(arg0); seg2 = new Segment(arg1); } else if (count === 4) { point1 = arg0; handle1 = arg1; handle2 = arg2; point2 = arg3; } else if (count === 8) { point1 = [arg0, arg1]; point2 = [arg6, arg7]; handle1 = [arg2 - arg0, arg3 - arg1]; handle2 = [arg4 - arg6, arg5 - arg7]; } this._segment1 = seg1 || new Segment(point1, null, handle1); this._segment2 = seg2 || new Segment(point2, handle2, null); }, _serialize: function(options, dictionary) { return Base.serialize(this.hasHandles() ? [this.getPoint1(), this.getHandle1(), this.getHandle2(), this.getPoint2()] : [this.getPoint1(), this.getPoint2()], options, true, dictionary); }, _changed: function() { this._length = this._bounds = undefined; }, clone: function() { return new Curve(this._segment1, this._segment2); }, toString: function() { var parts = [ 'point1: ' + this._segment1._point ]; if (!this._segment1._handleOut.isZero()) parts.push('handle1: ' + this._segment1._handleOut); if (!this._segment2._handleIn.isZero()) parts.push('handle2: ' + this._segment2._handleIn); parts.push('point2: ' + this._segment2._point); return '{ ' + parts.join(', ') + ' }'; }, classify: function() { return Curve.classify(this.getValues()); }, remove: function() { var removed = false; if (this._path) { var segment2 = this._segment2, handleOut = segment2._handleOut; removed = segment2.remove(); if (removed) this._segment1._handleOut.set(handleOut); } return removed; }, getPoint1: function() { return this._segment1._point; }, setPoint1: function() { this._segment1._point.set(Point.read(arguments)); }, getPoint2: function() { return this._segment2._point; }, setPoint2: function() { this._segment2._point.set(Point.read(arguments)); }, getHandle1: function() { return this._segment1._handleOut; }, setHandle1: function() { this._segment1._handleOut.set(Point.read(arguments)); }, getHandle2: function() { return this._segment2._handleIn; }, setHandle2: function() { this._segment2._handleIn.set(Point.read(arguments)); }, getSegment1: function() { return this._segment1; }, getSegment2: function() { return this._segment2; }, getPath: function() { return this._path; }, getIndex: function() { return this._segment1._index; }, getNext: function() { var curves = this._path && this._path._curves; return curves && (curves[this._segment1._index + 1] || this._path._closed && curves[0]) || null; }, getPrevious: function() { var curves = this._path && this._path._curves; return curves && (curves[this._segment1._index - 1] || this._path._closed && curves[curves.length - 1]) || null; }, isFirst: function() { return !this._segment1._index; }, isLast: function() { var path = this._path; return path && this._segment1._index === path._curves.length - 1 || false; }, isSelected: function() { return this.getPoint1().isSelected() && this.getHandle1().isSelected() && this.getHandle2().isSelected() && this.getPoint2().isSelected(); }, setSelected: function(selected) { this.getPoint1().setSelected(selected); this.getHandle1().setSelected(selected); this.getHandle2().setSelected(selected); this.getPoint2().setSelected(selected); }, getValues: function(matrix) { return Curve.getValues(this._segment1, this._segment2, matrix); }, getPoints: function() { var coords = this.getValues(), points = []; for (var i = 0; i < 8; i += 2) points.push(new Point(coords[i], coords[i + 1])); return points; } }, { getLength: function() { if (this._length == null) this._length = Curve.getLength(this.getValues(), 0, 1); return this._length; }, getArea: function() { return Curve.getArea(this.getValues()); }, getLine: function() { return new Line(this._segment1._point, this._segment2._point); }, getPart: function(from, to) { return new Curve(Curve.getPart(this.getValues(), from, to)); }, getPartLength: function(from, to) { return Curve.getLength(this.getValues(), from, to); }, divideAt: function(location) { return this.divideAtTime(location && location.curve === this ? location.time : this.getTimeAt(location)); }, divideAtTime: function(time, _setHandles) { var tMin = 1e-8, tMax = 1 - tMin, res = null; if (time >= tMin && time <= tMax) { var parts = Curve.subdivide(this.getValues(), time), left = parts[0], right = parts[1], setHandles = _setHandles || this.hasHandles(), seg1 = this._segment1, seg2 = this._segment2, path = this._path; if (setHandles) { seg1._handleOut._set(left[2] - left[0], left[3] - left[1]); seg2._handleIn._set(right[4] - right[6],right[5] - right[7]); } var x = left[6], y = left[7], segment = new Segment(new Point(x, y), setHandles && new Point(left[4] - x, left[5] - y), setHandles && new Point(right[2] - x, right[3] - y)); if (path) { path.insert(seg1._index + 1, segment); res = this.getNext(); } else { this._segment2 = segment; this._changed(); res = new Curve(segment, seg2); } } return res; }, splitAt: function(location) { var path = this._path; return path ? path.splitAt(location) : null; }, splitAtTime: function(time) { return this.splitAt(this.getLocationAtTime(time)); }, divide: function(offset, isTime) { return this.divideAtTime(offset === undefined ? 0.5 : isTime ? offset : this.getTimeAt(offset)); }, split: function(offset, isTime) { return this.splitAtTime(offset === undefined ? 0.5 : isTime ? offset : this.getTimeAt(offset)); }, reversed: function() { return new Curve(this._segment2.reversed(), this._segment1.reversed()); }, clearHandles: function() { this._segment1._handleOut._set(0, 0); this._segment2._handleIn._set(0, 0); }, statics: { getValues: function(segment1, segment2, matrix, straight) { var p1 = segment1._point, h1 = segment1._handleOut, h2 = segment2._handleIn, p2 = segment2._point, x1 = p1.x, y1 = p1.y, x2 = p2.x, y2 = p2.y, values = straight ? [ x1, y1, x1, y1, x2, y2, x2, y2 ] : [ x1, y1, x1 + h1._x, y1 + h1._y, x2 + h2._x, y2 + h2._y, x2, y2 ]; if (matrix) matrix._transformCoordinates(values, values, 4); return values; }, subdivide: function(v, t) { var x0 = v[0], y0 = v[1], x1 = v[2], y1 = v[3], x2 = v[4], y2 = v[5], x3 = v[6], y3 = v[7]; if (t === undefined) t = 0.5; var u = 1 - t, x4 = u * x0 + t * x1, y4 = u * y0 + t * y1, x5 = u * x1 + t * x2, y5 = u * y1 + t * y2, x6 = u * x2 + t * x3, y6 = u * y2 + t * y3, x7 = u * x4 + t * x5, y7 = u * y4 + t * y5, x8 = u * x5 + t * x6, y8 = u * y5 + t * y6, x9 = u * x7 + t * x8, y9 = u * y7 + t * y8; return [ [x0, y0, x4, y4, x7, y7, x9, y9], [x9, y9, x8, y8, x6, y6, x3, y3] ]; }, getMonoCurves: function(v, dir) { var curves = [], io = dir ? 0 : 1, o0 = v[io + 0], o1 = v[io + 2], o2 = v[io + 4], o3 = v[io + 6]; if ((o0 >= o1) === (o1 >= o2) && (o1 >= o2) === (o2 >= o3) || Curve.isStraight(v)) { curves.push(v); } else { var a = 3 * (o1 - o2) - o0 + o3, b = 2 * (o0 + o2) - 4 * o1, c = o1 - o0, tMin = 1e-8, tMax = 1 - tMin, roots = [], n = Numerical.solveQuadratic(a, b, c, roots, tMin, tMax); if (!n) { curves.push(v); } else { roots.sort(); var t = roots[0], parts = Curve.subdivide(v, t); curves.push(parts[0]); if (n > 1) { t = (roots[1] - t) / (1 - t); parts = Curve.subdivide(parts[1], t); curves.push(parts[0]); } curves.push(parts[1]); } } return curves; }, solveCubic: function (v, coord, val, roots, min, max) { var v0 = v[coord], v1 = v[coord + 2], v2 = v[coord + 4], v3 = v[coord + 6], res = 0; if ( !(v0 < val && v3 < val && v1 < val && v2 < val || v0 > val && v3 > val && v1 > val && v2 > val)) { var c = 3 * (v1 - v0), b = 3 * (v2 - v1) - c, a = v3 - v0 - c - b; res = Numerical.solveCubic(a, b, c, v0 - val, roots, min, max); } return res; }, getTimeOf: function(v, point) { var p0 = new Point(v[0], v[1]), p3 = new Point(v[6], v[7]), epsilon = 1e-12, geomEpsilon = 1e-7, t = point.isClose(p0, epsilon) ? 0 : point.isClose(p3, epsilon) ? 1 : null; if (t === null) { var coords = [point.x, point.y], roots = []; for (var c = 0; c < 2; c++) { var count = Curve.solveCubic(v, c, coords[c], roots, 0, 1); for (var i = 0; i < count; i++) { var u = roots[i]; if (point.isClose(Curve.getPoint(v, u), geomEpsilon)) return u; } } } return point.isClose(p0, geomEpsilon) ? 0 : point.isClose(p3, geomEpsilon) ? 1 : null; }, getNearestTime: function(v, point) { if (Curve.isStraight(v)) { var x0 = v[0], y0 = v[1], x3 = v[6], y3 = v[7], vx = x3 - x0, vy = y3 - y0, det = vx * vx + vy * vy; if (det === 0) return 0; var u = ((point.x - x0) * vx + (point.y - y0) * vy) / det; return u < 1e-12 ? 0 : u > 0.999999999999 ? 1 : Curve.getTimeOf(v, new Point(x0 + u * vx, y0 + u * vy)); } var count = 100, minDist = Infinity, minT = 0; function refine(t) { if (t >= 0 && t <= 1) { var dist = point.getDistance(Curve.getPoint(v, t), true); if (dist < minDist) { minDist = dist; minT = t; return true; } } } for (var i = 0; i <= count; i++) refine(i / count); var step = 1 / (count * 2); while (step > 1e-8) { if (!refine(minT - step) && !refine(minT + step)) step /= 2; } return minT; }, getPart: function(v, from, to) { var flip = from > to; if (flip) { var tmp = from; from = to; to = tmp; } if (from > 0) v = Curve.subdivide(v, from)[1]; if (to < 1) v = Curve.subdivide(v, (to - from) / (1 - from))[0]; return flip ? [v[6], v[7], v[4], v[5], v[2], v[3], v[0], v[1]] : v; }, isFlatEnough: function(v, flatness) { var x0 = v[0], y0 = v[1], x1 = v[2], y1 = v[3], x2 = v[4], y2 = v[5], x3 = v[6], y3 = v[7], ux = 3 * x1 - 2 * x0 - x3, uy = 3 * y1 - 2 * y0 - y3, vx = 3 * x2 - 2 * x3 - x0, vy = 3 * y2 - 2 * y3 - y0; return Math.max(ux * ux, vx * vx) + Math.max(uy * uy, vy * vy) <= 16 * flatness * flatness; }, getArea: function(v) { var x0 = v[0], y0 = v[1], x1 = v[2], y1 = v[3], x2 = v[4], y2 = v[5], x3 = v[6], y3 = v[7]; return 3 * ((y3 - y0) * (x1 + x2) - (x3 - x0) * (y1 + y2) + y1 * (x0 - x2) - x1 * (y0 - y2) + y3 * (x2 + x0 / 3) - x3 * (y2 + y0 / 3)) / 20; }, getBounds: function(v) { var min = v.slice(0, 2), max = min.slice(), roots = [0, 0]; for (var i = 0; i < 2; i++) Curve._addBounds(v[i], v[i + 2], v[i + 4], v[i + 6], i, 0, min, max, roots); return new Rectangle(min[0], min[1], max[0] - min[0], max[1] - min[1]); }, _addBounds: function(v0, v1, v2, v3, coord, padding, min, max, roots) { function add(value, padding) { var left = value - padding, right = value + padding; if (left < min[coord]) min[coord] = left; if (right > max[coord]) max[coord] = right; } padding /= 2; var minPad = min[coord] - padding, maxPad = max[coord] + padding; if ( v0 < minPad || v1 < minPad || v2 < minPad || v3 < minPad || v0 > maxPad || v1 > maxPad || v2 > maxPad || v3 > maxPad) { if (v1 < v0 != v1 < v3 && v2 < v0 != v2 < v3) { add(v0, padding); add(v3, padding); } else { var a = 3 * (v1 - v2) - v0 + v3, b = 2 * (v0 + v2) - 4 * v1, c = v1 - v0, count = Numerical.solveQuadratic(a, b, c, roots), tMin = 1e-8, tMax = 1 - tMin; add(v3, 0); for (var i = 0; i < count; i++) { var t = roots[i], u = 1 - t; if (tMin <= t && t <= tMax) add(u * u * u * v0 + 3 * u * u * t * v1 + 3 * u * t * t * v2 + t * t * t * v3, padding); } } } } }}, Base.each( ['getBounds', 'getStrokeBounds', 'getHandleBounds'], function(name) { this[name] = function() { if (!this._bounds) this._bounds = {}; var bounds = this._bounds[name]; if (!bounds) { bounds = this._bounds[name] = Path[name]( [this._segment1, this._segment2], false, this._path); } return bounds.clone(); }; }, { }), Base.each({ isStraight: function(p1, h1, h2, p2) { if (h1.isZero() && h2.isZero()) { return true; } else { var v = p2.subtract(p1); if (v.isZero()) { return false; } else if (v.isCollinear(h1) && v.isCollinear(h2)) { var l = new Line(p1, p2), epsilon = 1e-7; if (l.getDistance(p1.add(h1)) < epsilon && l.getDistance(p2.add(h2)) < epsilon) { var div = v.dot(v), s1 = v.dot(h1) / div, s2 = v.dot(h2) / div; return s1 >= 0 && s1 <= 1 && s2 <= 0 && s2 >= -1; } } } return false; }, isLinear: function(p1, h1, h2, p2) { var third = p2.subtract(p1).divide(3); return h1.equals(third) && h2.negate().equals(third); } }, function(test, name) { this[name] = function(epsilon) { var seg1 = this._segment1, seg2 = this._segment2; return test(seg1._point, seg1._handleOut, seg2._handleIn, seg2._point, epsilon); }; this.statics[name] = function(v, epsilon) { var x0 = v[0], y0 = v[1], x3 = v[6], y3 = v[7]; return test( new Point(x0, y0), new Point(v[2] - x0, v[3] - y0), new Point(v[4] - x3, v[5] - y3), new Point(x3, y3), epsilon); }; }, { statics: {}, hasHandles: function() { return !this._segment1._handleOut.isZero() || !this._segment2._handleIn.isZero(); }, hasLength: function(epsilon) { return (!this.getPoint1().equals(this.getPoint2()) || this.hasHandles()) && this.getLength() > (epsilon || 0); }, isCollinear: function(curve) { return curve && this.isStraight() && curve.isStraight() && this.getLine().isCollinear(curve.getLine()); }, isHorizontal: function() { return this.isStraight() && Math.abs(this.getTangentAtTime(0.5).y) < 1e-8; }, isVertical: function() { return this.isStraight() && Math.abs(this.getTangentAtTime(0.5).x) < 1e-8; } }), { beans: false, getLocationAt: function(offset, _isTime) { return this.getLocationAtTime( _isTime ? offset : this.getTimeAt(offset)); }, getLocationAtTime: function(t) { return t != null && t >= 0 && t <= 1 ? new CurveLocation(this, t) : null; }, getTimeAt: function(offset, start) { return Curve.getTimeAt(this.getValues(), offset, start); }, getParameterAt: '#getTimeAt', getTimesWithTangent: function () { var tangent = Point.read(arguments); return tangent.isZero() ? [] : Curve.getTimesWithTangent(this.getValues(), tangent); }, getOffsetAtTime: function(t) { return this.getPartLength(0, t); }, getLocationOf: function() { return this.getLocationAtTime(this.getTimeOf(Point.read(arguments))); }, getOffsetOf: function() { var loc = this.getLocationOf.apply(this, arguments); return loc ? loc.getOffset() : null; }, getTimeOf: function() { return Curve.getTimeOf(this.getValues(), Point.read(arguments)); }, getParameterOf: '#getTimeOf', getNearestLocation: function() { var point = Point.read(arguments), values = this.getValues(), t = Curve.getNearestTime(values, point), pt = Curve.getPoint(values, t); return new CurveLocation(this, t, pt, null, point.getDistance(pt)); }, getNearestPoint: function() { var loc = this.getNearestLocation.apply(this, arguments); return loc ? loc.getPoint() : loc; } }, new function() { var methods = ['getPoint', 'getTangent', 'getNormal', 'getWeightedTangent', 'getWeightedNormal', 'getCurvature']; return Base.each(methods, function(name) { this[name + 'At'] = function(location, _isTime) { var values = this.getValues(); return Curve[name](values, _isTime ? location : Curve.getTimeAt(values, location)); }; this[name + 'AtTime'] = function(time) { return Curve[name](this.getValues(), time); }; }, { statics: { _evaluateMethods: methods } } ); }, new function() { function getLengthIntegrand(v) { var x0 = v[0], y0 = v[1], x1 = v[2], y1 = v[3], x2 = v[4], y2 = v[5], x3 = v[6], y3 = v[7], ax = 9 * (x1 - x2) + 3 * (x3 - x0), bx = 6 * (x0 + x2) - 12 * x1, cx = 3 * (x1 - x0), ay = 9 * (y1 - y2) + 3 * (y3 - y0), by = 6 * (y0 + y2) - 12 * y1, cy = 3 * (y1 - y0); return function(t) { var dx = (ax * t + bx) * t + cx, dy = (ay * t + by) * t + cy; return Math.sqrt(dx * dx + dy * dy); }; } function getIterations(a, b) { return Math.max(2, Math.min(16, Math.ceil(Math.abs(b - a) * 32))); } function evaluate(v, t, type, normalized) { if (t == null || t < 0 || t > 1) return null; var x0 = v[0], y0 = v[1], x1 = v[2], y1 = v[3], x2 = v[4], y2 = v[5], x3 = v[6], y3 = v[7], isZero = Numerical.isZero; if (isZero(x1 - x0) && isZero(y1 - y0)) { x1 = x0; y1 = y0; } if (isZero(x2 - x3) && isZero(y2 - y3)) { x2 = x3; y2 = y3; } var cx = 3 * (x1 - x0), bx = 3 * (x2 - x1) - cx, ax = x3 - x0 - cx - bx, cy = 3 * (y1 - y0), by = 3 * (y2 - y1) - cy, ay = y3 - y0 - cy - by, x, y; if (type === 0) { x = t === 0 ? x0 : t === 1 ? x3 : ((ax * t + bx) * t + cx) * t + x0; y = t === 0 ? y0 : t === 1 ? y3 : ((ay * t + by) * t + cy) * t + y0; } else { var tMin = 1e-8, tMax = 1 - tMin; if (t < tMin) { x = cx; y = cy; } else if (t > tMax) { x = 3 * (x3 - x2); y = 3 * (y3 - y2); } else { x = (3 * ax * t + 2 * bx) * t + cx; y = (3 * ay * t + 2 * by) * t + cy; } if (normalized) { if (x === 0 && y === 0 && (t < tMin || t > tMax)) { x = x2 - x1; y = y2 - y1; } var len = Math.sqrt(x * x + y * y); if (len) { x /= len; y /= len; } } if (type === 3) { var x2 = 6 * ax * t + 2 * bx, y2 = 6 * ay * t + 2 * by, d = Math.pow(x * x + y * y, 3 / 2); x = d !== 0 ? (x * y2 - y * x2) / d : 0; y = 0; } } return type === 2 ? new Point(y, -x) : new Point(x, y); } return { statics: { classify: function(v) { var x0 = v[0], y0 = v[1], x1 = v[2], y1 = v[3], x2 = v[4], y2 = v[5], x3 = v[6], y3 = v[7], a1 = x0 * (y3 - y2) + y0 * (x2 - x3) + x3 * y2 - y3 * x2, a2 = x1 * (y0 - y3) + y1 * (x3 - x0) + x0 * y3 - y0 * x3, a3 = x2 * (y1 - y0) + y2 * (x0 - x1) + x1 * y0 - y1 * x0, d3 = 3 * a3, d2 = d3 - a2, d1 = d2 - a2 + a1, l = Math.sqrt(d1 * d1 + d2 * d2 + d3 * d3), s = l !== 0 ? 1 / l : 0, isZero = Numerical.isZero, serpentine = 'serpentine'; d1 *= s; d2 *= s; d3 *= s; function type(type, t1, t2) { var hasRoots = t1 !== undefined, t1Ok = hasRoots && t1 > 0 && t1 < 1, t2Ok = hasRoots && t2 > 0 && t2 < 1; if (hasRoots && (!(t1Ok || t2Ok) || type === 'loop' && !(t1Ok && t2Ok))) { type = 'arch'; t1Ok = t2Ok = false; } return { type: type, roots: t1Ok || t2Ok ? t1Ok && t2Ok ? t1 < t2 ? [t1, t2] : [t2, t1] : [t1Ok ? t1 : t2] : null }; } if (isZero(d1)) { return isZero(d2) ? type(isZero(d3) ? 'line' : 'quadratic') : type(serpentine, d3 / (3 * d2)); } var d = 3 * d2 * d2 - 4 * d1 * d3; if (isZero(d)) { return type('cusp', d2 / (2 * d1)); } var f1 = d > 0 ? Math.sqrt(d / 3) : Math.sqrt(-d), f2 = 2 * d1; return type(d > 0 ? serpentine : 'loop', (d2 + f1) / f2, (d2 - f1) / f2); }, getLength: function(v, a, b, ds) { if (a === undefined) a = 0; if (b === undefined) b = 1; if (Curve.isStraight(v)) { var c = v; if (b < 1) { c = Curve.subdivide(c, b)[0]; a /= b; } if (a > 0) { c = Curve.subdivide(c, a)[1]; } var dx = c[6] - c[0], dy = c[7] - c[1]; return Math.sqrt(dx * dx + dy * dy); } return Numerical.integrate(ds || getLengthIntegrand(v), a, b, getIterations(a, b)); }, getTimeAt: function(v, offset, start) { if (start === undefined) start = offset < 0 ? 1 : 0; if (offset === 0) return start; var abs = Math.abs, epsilon = 1e-12, forward = offset > 0, a = forward ? start : 0, b = forward ? 1 : start, ds = getLengthIntegrand(v), rangeLength = Curve.getLength(v, a, b, ds), diff = abs(offset) - rangeLength; if (abs(diff) < epsilon) { return forward ? b : a; } else if (diff > epsilon) { return null; } var guess = offset / rangeLength, length = 0; function f(t) { length += Numerical.integrate(ds, start, t, getIterations(start, t)); start = t; return length - offset; } return Numerical.findRoot(f, ds, start + guess, a, b, 32, 1e-12); }, getPoint: function(v, t) { return evaluate(v, t, 0, false); }, getTangent: function(v, t) { return evaluate(v, t, 1, true); }, getWeightedTangent: function(v, t) { return evaluate(v, t, 1, false); }, getNormal: function(v, t) { return evaluate(v, t, 2, true); }, getWeightedNormal: function(v, t) { return evaluate(v, t, 2, false); }, getCurvature: function(v, t) { return evaluate(v, t, 3, false).x; }, getPeaks: function(v) { var x0 = v[0], y0 = v[1], x1 = v[2], y1 = v[3], x2 = v[4], y2 = v[5], x3 = v[6], y3 = v[7], ax = -x0 + 3 * x1 - 3 * x2 + x3, bx = 3 * x0 - 6 * x1 + 3 * x2, cx = -3 * x0 + 3 * x1, ay = -y0 + 3 * y1 - 3 * y2 + y3, by = 3 * y0 - 6 * y1 + 3 * y2, cy = -3 * y0 + 3 * y1, tMin = 1e-8, tMax = 1 - tMin, roots = []; Numerical.solveCubic( 9 * (ax * ax + ay * ay), 9 * (ax * bx + by * ay), 2 * (bx * bx + by * by) + 3 * (cx * ax + cy * ay), (cx * bx + by * cy), roots, tMin, tMax); return roots.sort(); } }}; }, new function() { function addLocation(locations, include, c1, t1, c2, t2, overlap) { var excludeStart = !overlap && c1.getPrevious() === c2, excludeEnd = !overlap && c1 !== c2 && c1.getNext() === c2, tMin = 1e-8, tMax = 1 - tMin; if (t1 !== null && t1 >= (excludeStart ? tMin : 0) && t1 <= (excludeEnd ? tMax : 1)) { if (t2 !== null && t2 >= (excludeEnd ? tMin : 0) && t2 <= (excludeStart ? tMax : 1)) { var loc1 = new CurveLocation(c1, t1, null, overlap), loc2 = new CurveLocation(c2, t2, null, overlap); loc1._intersection = loc2; loc2._intersection = loc1; if (!include || include(loc1)) { CurveLocation.insert(locations, loc1, true); } } } } function addCurveIntersections(v1, v2, c1, c2, locations, include, flip, recursion, calls, tMin, tMax, uMin, uMax) { if (++calls >= 4096 || ++recursion >= 40) return calls; var fatLineEpsilon = 1e-9, q0x = v2[0], q0y = v2[1], q3x = v2[6], q3y = v2[7], getSignedDistance = Line.getSignedDistance, d1 = getSignedDistance(q0x, q0y, q3x, q3y, v2[2], v2[3]), d2 = getSignedDistance(q0x, q0y, q3x, q3y, v2[4], v2[5]), factor = d1 * d2 > 0 ? 3 / 4 : 4 / 9, dMin = factor * Math.min(0, d1, d2), dMax = factor * Math.max(0, d1, d2), dp0 = getSignedDistance(q0x, q0y, q3x, q3y, v1[0], v1[1]), dp1 = getSignedDistance(q0x, q0y, q3x, q3y, v1[2], v1[3]), dp2 = getSignedDistance(q0x, q0y, q3x, q3y, v1[4], v1[5]), dp3 = getSignedDistance(q0x, q0y, q3x, q3y, v1[6], v1[7]), hull = getConvexHull(dp0, dp1, dp2, dp3), top = hull[0], bottom = hull[1], tMinClip, tMaxClip; if (d1 === 0 && d2 === 0 && dp0 === 0 && dp1 === 0 && dp2 === 0 && dp3 === 0 || (tMinClip = clipConvexHull(top, bottom, dMin, dMax)) == null || (tMaxClip = clipConvexHull(top.reverse(), bottom.reverse(), dMin, dMax)) == null) return calls; var tMinNew = tMin + (tMax - tMin) * tMinClip, tMaxNew = tMin + (tMax - tMin) * tMaxClip; if (Math.max(uMax - uMin, tMaxNew - tMinNew) < fatLineEpsilon) { var t = (tMinNew + tMaxNew) / 2, u = (uMin + uMax) / 2; addLocation(locations, include, flip ? c2 : c1, flip ? u : t, flip ? c1 : c2, flip ? t : u); } else { v1 = Curve.getPart(v1, tMinClip, tMaxClip); if (tMaxClip - tMinClip > 0.8) { if (tMaxNew - tMinNew > uMax - uMin) { var parts = Curve.subdivide(v1, 0.5), t = (tMinNew + tMaxNew) / 2; calls = addCurveIntersections( v2, parts[0], c2, c1, locations, include, !flip, recursion, calls, uMin, uMax, tMinNew, t); calls = addCurveIntersections( v2, parts[1], c2, c1, locations, include, !flip, recursion, calls, uMin, uMax, t, tMaxNew); } else { var parts = Curve.subdivide(v2, 0.5), u = (uMin + uMax) / 2; calls = addCurveIntersections( parts[0], v1, c2, c1, locations, include, !flip, recursion, calls, uMin, u, tMinNew, tMaxNew); calls = addCurveIntersections( parts[1], v1, c2, c1, locations, include, !flip, recursion, calls, u, uMax, tMinNew, tMaxNew); } } else { if (uMax - uMin >= fatLineEpsilon) { calls = addCurveIntersections( v2, v1, c2, c1, locations, include, !flip, recursion, calls, uMin, uMax, tMinNew, tMaxNew); } else { calls = addCurveIntersections( v1, v2, c1, c2, locations, include, flip, recursion, calls, tMinNew, tMaxNew, uMin, uMax); } } } return calls; } function getConvexHull(dq0, dq1, dq2, dq3) { var p0 = [ 0, dq0 ], p1 = [ 1 / 3, dq1 ], p2 = [ 2 / 3, dq2 ], p3 = [ 1, dq3 ], dist1 = dq1 - (2 * dq0 + dq3) / 3, dist2 = dq2 - (dq0 + 2 * dq3) / 3, hull; if (dist1 * dist2 < 0) { hull = [[p0, p1, p3], [p0, p2, p3]]; } else { var distRatio = dist1 / dist2; hull = [ distRatio >= 2 ? [p0, p1, p3] : distRatio <= 0.5 ? [p0, p2, p3] : [p0, p1, p2, p3], [p0, p3] ]; } return (dist1 || dist2) < 0 ? hull.reverse() : hull; } function clipConvexHull(hullTop, hullBottom, dMin, dMax) { if (hullTop[0][1] < dMin) { return clipConvexHullPart(hullTop, true, dMin); } else if (hullBottom[0][1] > dMax) { return clipConvexHullPart(hullBottom, false, dMax); } else { return hullTop[0][0]; } } function clipConvexHullPart(part, top, threshold) { var px = part[0][0], py = part[0][1]; for (var i = 1, l = part.length; i < l; i++) { var qx = part[i][0], qy = part[i][1]; if (top ? qy >= threshold : qy <= threshold) { return qy === threshold ? qx : px + (threshold - py) * (qx - px) / (qy - py); } px = qx; py = qy; } return null; } function getCurveLineIntersections(v, px, py, vx, vy) { var isZero = Numerical.isZero; if (isZero(vx) && isZero(vy)) { var t = Curve.getTimeOf(v, new Point(px, py)); return t === null ? [] : [t]; } var angle = Math.atan2(-vy, vx), sin = Math.sin(angle), cos = Math.cos(angle), rv = [], roots = []; for (var i = 0; i < 8; i += 2) { var x = v[i] - px, y = v[i + 1] - py; rv.push( x * cos - y * sin, x * sin + y * cos); } Curve.solveCubic(rv, 1, 0, roots, 0, 1); return roots; } function addCurveLineIntersections(v1, v2, c1, c2, locations, include, flip) { var x1 = v2[0], y1 = v2[1], x2 = v2[6], y2 = v2[7], roots = getCurveLineIntersections(v1, x1, y1, x2 - x1, y2 - y1); for (var i = 0, l = roots.length; i < l; i++) { var t1 = roots[i], p1 = Curve.getPoint(v1, t1), t2 = Curve.getTimeOf(v2, p1); if (t2 !== null) { addLocation(locations, include, flip ? c2 : c1, flip ? t2 : t1, flip ? c1 : c2, flip ? t1 : t2); } } } function addLineIntersection(v1, v2, c1, c2, locations, include) { var pt = Line.intersect( v1[0], v1[1], v1[6], v1[7], v2[0], v2[1], v2[6], v2[7]); if (pt) { addLocation(locations, include, c1, Curve.getTimeOf(v1, pt), c2, Curve.getTimeOf(v2, pt)); } } function getCurveIntersections(v1, v2, c1, c2, locations, include) { var epsilon = 1e-12, min = Math.min, max = Math.max; if (max(v1[0], v1[2], v1[4], v1[6]) + epsilon > min(v2[0], v2[2], v2[4], v2[6]) && min(v1[0], v1[2], v1[4], v1[6]) - epsilon < max(v2[0], v2[2], v2[4], v2[6]) && max(v1[1], v1[3], v1[5], v1[7]) + epsilon > min(v2[1], v2[3], v2[5], v2[7]) && min(v1[1], v1[3], v1[5], v1[7]) - epsilon < max(v2[1], v2[3], v2[5], v2[7])) { var overlaps = getOverlaps(v1, v2); if (overlaps) { for (var i = 0; i < 2; i++) { var overlap = overlaps[i]; addLocation(locations, include, c1, overlap[0], c2, overlap[1], true); } } else { var straight1 = Curve.isStraight(v1), straight2 = Curve.isStraight(v2), straight = straight1 && straight2, flip = straight1 && !straight2, before = locations.length; (straight ? addLineIntersection : straight1 || straight2 ? addCurveLineIntersections : addCurveIntersections)( flip ? v2 : v1, flip ? v1 : v2, flip ? c2 : c1, flip ? c1 : c2, locations, include, flip, 0, 0, 0, 1, 0, 1); if (!straight || locations.length === before) { for (var i = 0; i < 4; i++) { var t1 = i >> 1, t2 = i & 1, i1 = t1 * 6, i2 = t2 * 6, p1 = new Point(v1[i1], v1[i1 + 1]), p2 = new Point(v2[i2], v2[i2 + 1]); if (p1.isClose(p2, epsilon)) { addLocation(locations, include, c1, t1, c2, t2); } } } } } return locations; } function getLoopIntersection(v1, c1, locations, include) { var info = Curve.classify(v1); if (info.type === 'loop') { var roots = info.roots; addLocation(locations, include, c1, roots[0], c1, roots[1]); } return locations; } function getIntersections(curves1, curves2, include, matrix1, matrix2, _returnFirst) { var self = !curves2; if (self) curves2 = curves1; var length1 = curves1.length, length2 = curves2.length, values2 = [], arrays = [], locations, current; for (var i = 0; i < length2; i++) values2[i] = curves2[i].getValues(matrix2); for (var i = 0; i < length1; i++) { var curve1 = curves1[i], values1 = self ? values2[i] : curve1.getValues(matrix1), path1 = curve1.getPath(); if (path1 !== current) { current = path1; locations = []; arrays.push(locations); } if (self) { getLoopIntersection(values1, curve1, locations, include); } for (var j = self ? i + 1 : 0; j < length2; j++) { if (_returnFirst && locations.length) return locations; getCurveIntersections(values1, values2[j], curve1, curves2[j], locations, include); } } locations = []; for (var i = 0, l = arrays.length; i < l; i++) { Base.push(locations, arrays[i]); } return locations; } function getOverlaps(v1, v2) { function getSquaredLineLength(v) { var x = v[6] - v[0], y = v[7] - v[1]; return x * x + y * y; } var abs = Math.abs, getDistance = Line.getDistance, timeEpsilon = 1e-8, geomEpsilon = 1e-7, straight1 = Curve.isStraight(v1), straight2 = Curve.isStraight(v2), straightBoth = straight1 && straight2, flip = getSquaredLineLength(v1) < getSquaredLineLength(v2), l1 = flip ? v2 : v1, l2 = flip ? v1 : v2, px = l1[0], py = l1[1], vx = l1[6] - px, vy = l1[7] - py; if (getDistance(px, py, vx, vy, l2[0], l2[1], true) < geomEpsilon && getDistance(px, py, vx, vy, l2[6], l2[7], true) < geomEpsilon) { if (!straightBoth && getDistance(px, py, vx, vy, l1[2], l1[3], true) < geomEpsilon && getDistance(px, py, vx, vy, l1[4], l1[5], true) < geomEpsilon && getDistance(px, py, vx, vy, l2[2], l2[3], true) < geomEpsilon && getDistance(px, py, vx, vy, l2[4], l2[5], true) < geomEpsilon) { straight1 = straight2 = straightBoth = true; } } else if (straightBoth) { return null; } if (straight1 ^ straight2) { return null; } var v = [v1, v2], pairs = []; for (var i = 0; i < 4 && pairs.length < 2; i++) { var i1 = i & 1, i2 = i1 ^ 1, t1 = i >> 1, t2 = Curve.getTimeOf(v[i1], new Point( v[i2][t1 ? 6 : 0], v[i2][t1 ? 7 : 1])); if (t2 != null) { var pair = i1 ? [t1, t2] : [t2, t1]; if (!pairs.length || abs(pair[0] - pairs[0][0]) > timeEpsilon && abs(pair[1] - pairs[0][1]) > timeEpsilon) { pairs.push(pair); } } if (i > 2 && !pairs.length) break; } if (pairs.length !== 2) { pairs = null; } else if (!straightBoth) { var o1 = Curve.getPart(v1, pairs[0][0], pairs[1][0]), o2 = Curve.getPart(v2, pairs[0][1], pairs[1][1]); if (abs(o2[2] - o1[2]) > geomEpsilon || abs(o2[3] - o1[3]) > geomEpsilon || abs(o2[4] - o1[4]) > geomEpsilon || abs(o2[5] - o1[5]) > geomEpsilon) pairs = null; } return pairs; } function getTimesWithTangent(v, tangent) { var x0 = v[0], y0 = v[1], x1 = v[2], y1 = v[3], x2 = v[4], y2 = v[5], x3 = v[6], y3 = v[7], normalized = tangent.normalize(), tx = normalized.x, ty = normalized.y, ax = 3 * x3 - 9 * x2 + 9 * x1 - 3 * x0, ay = 3 * y3 - 9 * y2 + 9 * y1 - 3 * y0, bx = 6 * x2 - 12 * x1 + 6 * x0, by = 6 * y2 - 12 * y1 + 6 * y0, cx = 3 * x1 - 3 * x0, cy = 3 * y1 - 3 * y0, den = 2 * ax * ty - 2 * ay * tx, times = []; if (Math.abs(den) < Numerical.CURVETIME_EPSILON) { var num = ax * cy - ay * cx, den = ax * by - ay * bx; if (den != 0) { var t = -num / den; if (t >= 0 && t <= 1) times.push(t); } } else { var delta = (bx * bx - 4 * ax * cx) * ty * ty + (-2 * bx * by + 4 * ay * cx + 4 * ax * cy) * tx * ty + (by * by - 4 * ay * cy) * tx * tx, k = bx * ty - by * tx; if (delta >= 0 && den != 0) { var d = Math.sqrt(delta), t0 = -(k + d) / den, t1 = (-k + d) / den; if (t0 >= 0 && t0 <= 1) times.push(t0); if (t1 >= 0 && t1 <= 1) times.push(t1); } } return times; } return { getIntersections: function(curve) { var v1 = this.getValues(), v2 = curve && curve !== this && curve.getValues(); return v2 ? getCurveIntersections(v1, v2, this, curve, []) : getLoopIntersection(v1, this, []); }, statics: { getOverlaps: getOverlaps, getIntersections: getIntersections, getCurveLineIntersections: getCurveLineIntersections, getTimesWithTangent: getTimesWithTangent } }; }); var CurveLocation = Base.extend({ _class: 'CurveLocation', initialize: function CurveLocation(curve, time, point, _overlap, _distance) { if (time >= 0.99999999) { var next = curve.getNext(); if (next) { time = 0; curve = next; } } this._setCurve(curve); this._time = time; this._point = point || curve.getPointAtTime(time); this._overlap = _overlap; this._distance = _distance; this._intersection = this._next = this._previous = null; }, _setCurve: function(curve) { var path = curve._path; this._path = path; this._version = path ? path._version : 0; this._curve = curve; this._segment = null; this._segment1 = curve._segment1; this._segment2 = curve._segment2; }, _setSegment: function(segment) { this._setCurve(segment.getCurve()); this._segment = segment; this._time = segment === this._segment1 ? 0 : 1; this._point = segment._point.clone(); }, getSegment: function() { var segment = this._segment; if (!segment) { var curve = this.getCurve(), time = this.getTime(); if (time === 0) { segment = curve._segment1; } else if (time === 1) { segment = curve._segment2; } else if (time != null) { segment = curve.getPartLength(0, time) < curve.getPartLength(time, 1) ? curve._segment1 : curve._segment2; } this._segment = segment; } return segment; }, getCurve: function() { var path = this._path, that = this; if (path && path._version !== this._version) { this._time = this._offset = this._curveOffset = this._curve = null; } function trySegment(segment) { var curve = segment && segment.getCurve(); if (curve && (that._time = curve.getTimeOf(that._point)) != null) { that._setCurve(curve); return curve; } } return this._curve || trySegment(this._segment) || trySegment(this._segment1) || trySegment(this._segment2.getPrevious()); }, getPath: function() { var curve = this.getCurve(); return curve && curve._path; }, getIndex: function() { var curve = this.getCurve(); return curve && curve.getIndex(); }, getTime: function() { var curve = this.getCurve(), time = this._time; return curve && time == null ? this._time = curve.getTimeOf(this._point) : time; }, getParameter: '#getTime', getPoint: function() { return this._point; }, getOffset: function() { var offset = this._offset; if (offset == null) { offset = 0; var path = this.getPath(), index = this.getIndex(); if (path && index != null) { var curves = path.getCurves(); for (var i = 0; i < index; i++) offset += curves[i].getLength(); } this._offset = offset += this.getCurveOffset(); } return offset; }, getCurveOffset: function() { var offset = this._curveOffset; if (offset == null) { var curve = this.getCurve(), time = this.getTime(); this._curveOffset = offset = time != null && curve && curve.getPartLength(0, time); } return offset; }, getIntersection: function() { return this._intersection; }, getDistance: function() { return this._distance; }, divide: function() { var curve = this.getCurve(), res = curve && curve.divideAtTime(this.getTime()); if (res) { this._setSegment(res._segment1); } return res; }, split: function() { var curve = this.getCurve(), path = curve._path, res = curve && curve.splitAtTime(this.getTime()); if (res) { this._setSegment(path.getLastSegment()); } return res; }, equals: function(loc, _ignoreOther) { var res = this === loc; if (!res && loc instanceof CurveLocation) { var c1 = this.getCurve(), c2 = loc.getCurve(), p1 = c1._path, p2 = c2._path; if (p1 === p2) { var abs = Math.abs, epsilon = 1e-7, diff = abs(this.getOffset() - loc.getOffset()), i1 = !_ignoreOther && this._intersection, i2 = !_ignoreOther && loc._intersection; res = (diff < epsilon || p1 && abs(p1.getLength() - diff) < epsilon) && (!i1 && !i2 || i1 && i2 && i1.equals(i2, true)); } } return res; }, toString: function() { var parts = [], point = this.getPoint(), f = Formatter.instance; if (point) parts.push('point: ' + point); var index = this.getIndex(); if (index != null) parts.push('index: ' + index); var time = this.getTime(); if (time != null) parts.push('time: ' + f.number(time)); if (this._distance != null) parts.push('distance: ' + f.number(this._distance)); return '{ ' + parts.join(', ') + ' }'; }, isTouching: function() { var inter = this._intersection; if (inter && this.getTangent().isCollinear(inter.getTangent())) { var curve1 = this.getCurve(), curve2 = inter.getCurve(); return !(curve1.isStraight() && curve2.isStraight() && curve1.getLine().intersect(curve2.getLine())); } return false; }, isCrossing: function() { var inter = this._intersection; if (!inter) return false; var t1 = this.getTime(), t2 = inter.getTime(), tMin = 1e-8, tMax = 1 - tMin, t1Inside = t1 >= tMin && t1 <= tMax, t2Inside = t2 >= tMin && t2 <= tMax; if (t1Inside && t2Inside) return !this.isTouching(); var c2 = this.getCurve(), c1 = t1 < tMin ? c2.getPrevious() : c2, c4 = inter.getCurve(), c3 = t2 < tMin ? c4.getPrevious() : c4; if (t1 > tMax) c2 = c2.getNext(); if (t2 > tMax) c4 = c4.getNext(); if (!c1 || !c2 || !c3 || !c4) return false; var offsets = []; function addOffsets(curve, end) { var v = curve.getValues(), roots = Curve.classify(v).roots || Curve.getPeaks(v), count = roots.length, t = end && count > 1 ? roots[count - 1] : count > 0 ? roots[0] : 0.5; offsets.push(Curve.getLength(v, end ? t : 0, end ? 1 : t) / 2); } function isInRange(angle, min, max) { return min < max ? angle > min && angle < max : angle > min || angle < max; } if (!t1Inside) { addOffsets(c1, true); addOffsets(c2, false); } if (!t2Inside) { addOffsets(c3, true); addOffsets(c4, false); } var pt = this.getPoint(), offset = Math.min.apply(Math, offsets), v2 = t1Inside ? c2.getTangentAtTime(t1) : c2.getPointAt(offset).subtract(pt), v1 = t1Inside ? v2.negate() : c1.getPointAt(-offset).subtract(pt), v4 = t2Inside ? c4.getTangentAtTime(t2) : c4.getPointAt(offset).subtract(pt), v3 = t2Inside ? v4.negate() : c3.getPointAt(-offset).subtract(pt), a1 = v1.getAngle(), a2 = v2.getAngle(), a3 = v3.getAngle(), a4 = v4.getAngle(); return !!(t1Inside ? (isInRange(a1, a3, a4) ^ isInRange(a2, a3, a4)) && (isInRange(a1, a4, a3) ^ isInRange(a2, a4, a3)) : (isInRange(a3, a1, a2) ^ isInRange(a4, a1, a2)) && (isInRange(a3, a2, a1) ^ isInRange(a4, a2, a1))); }, hasOverlap: function() { return !!this._overlap; } }, Base.each(Curve._evaluateMethods, function(name) { var get = name + 'At'; this[name] = function() { var curve = this.getCurve(), time = this.getTime(); return time != null && curve && curve[get](time, true); }; }, { preserve: true }), new function() { function insert(locations, loc, merge) { var length = locations.length, l = 0, r = length - 1; function search(index, dir) { for (var i = index + dir; i >= -1 && i <= length; i += dir) { var loc2 = locations[((i % length) + length) % length]; if (!loc.getPoint().isClose(loc2.getPoint(), 1e-7)) break; if (loc.equals(loc2)) return loc2; } return null; } while (l <= r) { var m = (l + r) >>> 1, loc2 = locations[m], found; if (merge && (found = loc.equals(loc2) ? loc2 : (search(m, -1) || search(m, 1)))) { if (loc._overlap) { found._overlap = found._intersection._overlap = true; } return found; } var path1 = loc.getPath(), path2 = loc2.getPath(), diff = path1 !== path2 ? path1._id - path2._id : (loc.getIndex() + loc.getTime()) - (loc2.getIndex() + loc2.getTime()); if (diff < 0) { r = m - 1; } else { l = m + 1; } } locations.splice(l, 0, loc); return loc; } return { statics: { insert: insert, expand: function(locations) { var expanded = locations.slice(); for (var i = locations.length - 1; i >= 0; i--) { insert(expanded, locations[i]._intersection, false); } return expanded; } }}; }); var PathItem = Item.extend({ _class: 'PathItem', _selectBounds: false, _canScaleStroke: true, beans: true, initialize: function PathItem() { }, statics: { create: function(arg) { var data, segments, compound; if (Base.isPlainObject(arg)) { segments = arg.segments; data = arg.pathData; } else if (Array.isArray(arg)) { segments = arg; } else if (typeof arg === 'string') { data = arg; } if (segments) { var first = segments[0]; compound = first && Array.isArray(first[0]); } else if (data) { compound = (data.match(/m/gi) || []).length > 1 || /z\s*\S+/i.test(data); } var ctor = compound ? CompoundPath : Path; return new ctor(arg); } }, _asPathItem: function() { return this; }, isClockwise: function() { return this.getArea() >= 0; }, setClockwise: function(clockwise) { if (this.isClockwise() != (clockwise = !!clockwise)) this.reverse(); }, setPathData: function(data) { var parts = data && data.match(/[mlhvcsqtaz][^mlhvcsqtaz]*/ig), coords, relative = false, previous, control, current = new Point(), start = new Point(); function getCoord(index, coord) { var val = +coords[index]; if (relative) val += current[coord]; return val; } function getPoint(index) { return new Point( getCoord(index, 'x'), getCoord(index + 1, 'y') ); } this.clear(); for (var i = 0, l = parts && parts.length; i < l; i++) { var part = parts[i], command = part[0], lower = command.toLowerCase(); coords = part.match(/[+-]?(?:\d*\.\d+|\d+\.?)(?:[eE][+-]?\d+)?/g); var length = coords && coords.length; relative = command === lower; if (previous === 'z' && !/[mz]/.test(lower)) this.moveTo(current); switch (lower) { case 'm': case 'l': var move = lower === 'm'; for (var j = 0; j < length; j += 2) { this[move ? 'moveTo' : 'lineTo'](current = getPoint(j)); if (move) { start = current; move = false; } } control = current; break; case 'h': case 'v': var coord = lower === 'h' ? 'x' : 'y'; current = current.clone(); for (var j = 0; j < length; j++) { current[coord] = getCoord(j, coord); this.lineTo(current); } control = current; break; case 'c': for (var j = 0; j < length; j += 6) { this.cubicCurveTo( getPoint(j), control = getPoint(j + 2), current = getPoint(j + 4)); } break; case 's': for (var j = 0; j < length; j += 4) { this.cubicCurveTo( /[cs]/.test(previous) ? current.multiply(2).subtract(control) : current, control = getPoint(j), current = getPoint(j + 2)); previous = lower; } break; case 'q': for (var j = 0; j < length; j += 4) { this.quadraticCurveTo( control = getPoint(j), current = getPoint(j + 2)); } break; case 't': for (var j = 0; j < length; j += 2) { this.quadraticCurveTo( control = (/[qt]/.test(previous) ? current.multiply(2).subtract(control) : current), current = getPoint(j)); previous = lower; } break; case 'a': for (var j = 0; j < length; j += 7) { this.arcTo(current = getPoint(j + 5), new Size(+coords[j], +coords[j + 1]), +coords[j + 2], +coords[j + 4], +coords[j + 3]); } break; case 'z': this.closePath(1e-12); current = start; break; } previous = lower; } }, _canComposite: function() { return !(this.hasFill() && this.hasStroke()); }, _contains: function(point) { var winding = point.isInside( this.getBounds({ internal: true, handle: true })) ? this._getWinding(point) : {}; return winding.onPath || !!(this.getFillRule() === 'evenodd' ? winding.windingL & 1 || winding.windingR & 1 : winding.winding); }, getIntersections: function(path, include, _matrix, _returnFirst) { var self = this === path || !path, matrix1 = this._matrix._orNullIfIdentity(), matrix2 = self ? matrix1 : (_matrix || path._matrix)._orNullIfIdentity(); return self || this.getBounds(matrix1).intersects( path.getBounds(matrix2), 1e-12) ? Curve.getIntersections( this.getCurves(), !self && path.getCurves(), include, matrix1, matrix2, _returnFirst) : []; }, getCrossings: function(path) { return this.getIntersections(path, function(inter) { return inter.hasOverlap() || inter.isCrossing(); }); }, getNearestLocation: function() { var point = Point.read(arguments), curves = this.getCurves(), minDist = Infinity, minLoc = null; for (var i = 0, l = curves.length; i < l; i++) { var loc = curves[i].getNearestLocation(point); if (loc._distance < minDist) { minDist = loc._distance; minLoc = loc; } } return minLoc; }, getNearestPoint: function() { var loc = this.getNearestLocation.apply(this, arguments); return loc ? loc.getPoint() : loc; }, interpolate: function(from, to, factor) { var isPath = !this._children, name = isPath ? '_segments' : '_children', itemsFrom = from[name], itemsTo = to[name], items = this[name]; if (!itemsFrom || !itemsTo || itemsFrom.length !== itemsTo.length) { throw new Error('Invalid operands in interpolate() call: ' + from + ', ' + to); } var current = items.length, length = itemsTo.length; if (current < length) { var ctor = isPath ? Segment : Path; for (var i = current; i < length; i++) { this.add(new ctor()); } } else if (current > length) { this[isPath ? 'removeSegments' : 'removeChildren'](length, current); } for (var i = 0; i < length; i++) { items[i].interpolate(itemsFrom[i], itemsTo[i], factor); } if (isPath) { this.setClosed(from._closed); this._changed(9); } }, compare: function(path) { var ok = false; if (path) { var paths1 = this._children || [this], paths2 = path._children ? path._children.slice() : [path], length1 = paths1.length, length2 = paths2.length, matched = [], count = 0; ok = true; for (var i1 = length1 - 1; i1 >= 0 && ok; i1--) { var path1 = paths1[i1]; ok = false; for (var i2 = length2 - 1; i2 >= 0 && !ok; i2--) { if (path1.compare(paths2[i2])) { if (!matched[i2]) { matched[i2] = true; count++; } ok = true; } } } ok = ok && count === length2; } return ok; }, }); var Path = PathItem.extend({ _class: 'Path', _serializeFields: { segments: [], closed: false }, initialize: function Path(arg) { this._closed = false; this._segments = []; this._version = 0; var segments = Array.isArray(arg) ? typeof arg[0] === 'object' ? arg : arguments : arg && (arg.size === undefined && (arg.x !== undefined || arg.point !== undefined)) ? arguments : null; if (segments && segments.length > 0) { this.setSegments(segments); } else { this._curves = undefined; this._segmentSelection = 0; if (!segments && typeof arg === 'string') { this.setPathData(arg); arg = null; } } this._initialize(!segments && arg); }, _equals: function(item) { return this._closed === item._closed && Base.equals(this._segments, item._segments); }, copyContent: function(source) { this.setSegments(source._segments); this._closed = source._closed; }, _changed: function _changed(flags) { _changed.base.call(this, flags); if (flags & 8) { this._length = this._area = undefined; if (flags & 32) { this._version++; } else if (this._curves) { for (var i = 0, l = this._curves.length; i < l; i++) this._curves[i]._changed(); } } else if (flags & 64) { this._bounds = undefined; } }, getStyle: function() { var parent = this._parent; return (parent instanceof CompoundPath ? parent : this)._style; }, getSegments: function() { return this._segments; }, setSegments: function(segments) { var fullySelected = this.isFullySelected(), length = segments && segments.length; this._segments.length = 0; this._segmentSelection = 0; this._curves = undefined; if (length) { var last = segments[length - 1]; if (typeof last === 'boolean') { this.setClosed(last); length--; } this._add(Segment.readList(segments, 0, {}, length)); } if (fullySelected) this.setFullySelected(true); }, getFirstSegment: function() { return this._segments[0]; }, getLastSegment: function() { return this._segments[this._segments.length - 1]; }, getCurves: function() { var curves = this._curves, segments = this._segments; if (!curves) { var length = this._countCurves(); curves = this._curves = new Array(length); for (var i = 0; i < length; i++) curves[i] = new Curve(this, segments[i], segments[i + 1] || segments[0]); } return curves; }, getFirstCurve: function() { return this.getCurves()[0]; }, getLastCurve: function() { var curves = this.getCurves(); return curves[curves.length - 1]; }, isClosed: function() { return this._closed; }, setClosed: function(closed) { if (this._closed != (closed = !!closed)) { this._closed = closed; if (this._curves) { var length = this._curves.length = this._countCurves(); if (closed) this._curves[length - 1] = new Curve(this, this._segments[length - 1], this._segments[0]); } this._changed(41); } } }, { beans: true, getPathData: function(_matrix, _precision) { var segments = this._segments, length = segments.length, f = new Formatter(_precision), coords = new Array(6), first = true, curX, curY, prevX, prevY, inX, inY, outX, outY, parts = []; function addSegment(segment, skipLine) { segment._transformCoordinates(_matrix, coords); curX = coords[0]; curY = coords[1]; if (first) { parts.push('M' + f.pair(curX, curY)); first = false; } else { inX = coords[2]; inY = coords[3]; if (inX === curX && inY === curY && outX === prevX && outY === prevY) { if (!skipLine) { var dx = curX - prevX, dy = curY - prevY; parts.push( dx === 0 ? 'v' + f.number(dy) : dy === 0 ? 'h' + f.number(dx) : 'l' + f.pair(dx, dy)); } } else { parts.push('c' + f.pair(outX - prevX, outY - prevY) + ' ' + f.pair( inX - prevX, inY - prevY) + ' ' + f.pair(curX - prevX, curY - prevY)); } } prevX = curX; prevY = curY; outX = coords[4]; outY = coords[5]; } if (!length) return ''; for (var i = 0; i < length; i++) addSegment(segments[i]); if (this._closed && length > 0) { addSegment(segments[0], true); parts.push('z'); } return parts.join(''); }, isEmpty: function() { return !this._segments.length; }, _transformContent: function(matrix) { var segments = this._segments, coords = new Array(6); for (var i = 0, l = segments.length; i < l; i++) segments[i]._transformCoordinates(matrix, coords, true); return true; }, _add: function(segs, index) { var segments = this._segments, curves = this._curves, amount = segs.length, append = index == null, index = append ? segments.length : index; for (var i = 0; i < amount; i++) { var segment = segs[i]; if (segment._path) segment = segs[i] = segment.clone(); segment._path = this; segment._index = index + i; if (segment._selection) this._updateSelection(segment, 0, segment._selection); } if (append) { Base.push(segments, segs); } else { segments.splice.apply(segments, [index, 0].concat(segs)); for (var i = index + amount, l = segments.length; i < l; i++) segments[i]._index = i; } if (curves) { var total = this._countCurves(), start = index > 0 && index + amount - 1 === total ? index - 1 : index, insert = start, end = Math.min(start + amount, total); if (segs._curves) { curves.splice.apply(curves, [start, 0].concat(segs._curves)); insert += segs._curves.length; } for (var i = insert; i < end; i++) curves.splice(i, 0, new Curve(this, null, null)); this._adjustCurves(start, end); } this._changed(41); return segs; }, _adjustCurves: function(start, end) { var segments = this._segments, curves = this._curves, curve; for (var i = start; i < end; i++) { curve = curves[i]; curve._path = this; curve._segment1 = segments[i]; curve._segment2 = segments[i + 1] || segments[0]; curve._changed(); } if (curve = curves[this._closed && !start ? segments.length - 1 : start - 1]) { curve._segment2 = segments[start] || segments[0]; curve._changed(); } if (curve = curves[end]) { curve._segment1 = segments[end]; curve._changed(); } }, _countCurves: function() { var length = this._segments.length; return !this._closed && length > 0 ? length - 1 : length; }, add: function(segment1 ) { return arguments.length > 1 && typeof segment1 !== 'number' ? this._add(Segment.readList(arguments)) : this._add([ Segment.read(arguments) ])[0]; }, insert: function(index, segment1 ) { return arguments.length > 2 && typeof segment1 !== 'number' ? this._add(Segment.readList(arguments, 1), index) : this._add([ Segment.read(arguments, 1) ], index)[0]; }, addSegment: function() { return this._add([ Segment.read(arguments) ])[0]; }, insertSegment: function(index ) { return this._add([ Segment.read(arguments, 1) ], index)[0]; }, addSegments: function(segments) { return this._add(Segment.readList(segments)); }, insertSegments: function(index, segments) { return this._add(Segment.readList(segments), index); }, removeSegment: function(index) { return this.removeSegments(index, index + 1)[0] || null; }, removeSegments: function(start, end, _includeCurves) { start = start || 0; end = Base.pick(end, this._segments.length); var segments = this._segments, curves = this._curves, count = segments.length, removed = segments.splice(start, end - start), amount = removed.length; if (!amount) return removed; for (var i = 0; i < amount; i++) { var segment = removed[i]; if (segment._selection) this._updateSelection(segment, segment._selection, 0); segment._index = segment._path = null; } for (var i = start, l = segments.length; i < l; i++) segments[i]._index = i; if (curves) { var index = start > 0 && end === count + (this._closed ? 1 : 0) ? start - 1 : start, curves = curves.splice(index, amount); for (var i = curves.length - 1; i >= 0; i--) curves[i]._path = null; if (_includeCurves) removed._curves = curves.slice(1); this._adjustCurves(index, index); } this._changed(41); return removed; }, clear: '#removeSegments', hasHandles: function() { var segments = this._segments; for (var i = 0, l = segments.length; i < l; i++) { if (segments[i].hasHandles()) return true; } return false; }, clearHandles: function() { var segments = this._segments; for (var i = 0, l = segments.length; i < l; i++) segments[i].clearHandles(); }, getLength: function() { if (this._length == null) { var curves = this.getCurves(), length = 0; for (var i = 0, l = curves.length; i < l; i++) length += curves[i].getLength(); this._length = length; } return this._length; }, getArea: function() { var area = this._area; if (area == null) { var segments = this._segments, closed = this._closed; area = 0; for (var i = 0, l = segments.length; i < l; i++) { var last = i + 1 === l; area += Curve.getArea(Curve.getValues( segments[i], segments[last ? 0 : i + 1], null, last && !closed)); } this._area = area; } return area; }, isFullySelected: function() { var length = this._segments.length; return this.isSelected() && length > 0 && this._segmentSelection === length * 7; }, setFullySelected: function(selected) { if (selected) this._selectSegments(true); this.setSelected(selected); }, setSelection: function setSelection(selection) { if (!(selection & 1)) this._selectSegments(false); setSelection.base.call(this, selection); }, _selectSegments: function(selected) { var segments = this._segments, length = segments.length, selection = selected ? 7 : 0; this._segmentSelection = selection * length; for (var i = 0; i < length; i++) segments[i]._selection = selection; }, _updateSelection: function(segment, oldSelection, newSelection) { segment._selection = newSelection; var selection = this._segmentSelection += newSelection - oldSelection; if (selection > 0) this.setSelected(true); }, divideAt: function(location) { var loc = this.getLocationAt(location), curve; return loc && (curve = loc.getCurve().divideAt(loc.getCurveOffset())) ? curve._segment1 : null; }, splitAt: function(location) { var loc = this.getLocationAt(location), index = loc && loc.index, time = loc && loc.time, tMin = 1e-8, tMax = 1 - tMin; if (time > tMax) { index++; time = 0; } var curves = this.getCurves(); if (index >= 0 && index < curves.length) { if (time >= tMin) { curves[index++].divideAtTime(time); } var segs = this.removeSegments(index, this._segments.length, true), path; if (this._closed) { this.setClosed(false); path = this; } else { path = new Path(Item.NO_INSERT); path.insertAbove(this); path.copyAttributes(this); } path._add(segs, 0); this.addSegment(segs[0]); return path; } return null; }, split: function(index, time) { var curve, location = time === undefined ? index : (curve = this.getCurves()[index]) && curve.getLocationAtTime(time); return location != null ? this.splitAt(location) : null; }, join: function(path, tolerance) { var epsilon = tolerance || 0; if (path && path !== this) { var segments = path._segments, last1 = this.getLastSegment(), last2 = path.getLastSegment(); if (!last2) return this; if (last1 && last1._point.isClose(last2._point, epsilon)) path.reverse(); var first2 = path.getFirstSegment(); if (last1 && last1._point.isClose(first2._point, epsilon)) { last1.setHandleOut(first2._handleOut); this._add(segments.slice(1)); } else { var first1 = this.getFirstSegment(); if (first1 && first1._point.isClose(first2._point, epsilon)) path.reverse(); last2 = path.getLastSegment(); if (first1 && first1._point.isClose(last2._point, epsilon)) { first1.setHandleIn(last2._handleIn); this._add(segments.slice(0, segments.length - 1), 0); } else { this._add(segments.slice()); } } if (path._closed) this._add([segments[0]]); path.remove(); } var first = this.getFirstSegment(), last = this.getLastSegment(); if (first !== last && first._point.isClose(last._point, epsilon)) { first.setHandleIn(last._handleIn); last.remove(); this.setClosed(true); } return this; }, reduce: function(options) { var curves = this.getCurves(), simplify = options && options.simplify, tolerance = simplify ? 1e-7 : 0; for (var i = curves.length - 1; i >= 0; i--) { var curve = curves[i]; if (!curve.hasHandles() && (!curve.hasLength(tolerance) || simplify && curve.isCollinear(curve.getNext()))) curve.remove(); } return this; }, reverse: function() { this._segments.reverse(); for (var i = 0, l = this._segments.length; i < l; i++) { var segment = this._segments[i]; var handleIn = segment._handleIn; segment._handleIn = segment._handleOut; segment._handleOut = handleIn; segment._index = i; } this._curves = null; this._changed(9); }, flatten: function(flatness) { var flattener = new PathFlattener(this, flatness || 0.25, 256, true), parts = flattener.parts, length = parts.length, segments = []; for (var i = 0; i < length; i++) { segments.push(new Segment(parts[i].curve.slice(0, 2))); } if (!this._closed && length > 0) { segments.push(new Segment(parts[length - 1].curve.slice(6))); } this.setSegments(segments); }, simplify: function(tolerance) { var segments = new PathFitter(this).fit(tolerance || 2.5); if (segments) this.setSegments(segments); return !!segments; }, smooth: function(options) { var that = this, opts = options || {}, type = opts.type || 'asymmetric', segments = this._segments, length = segments.length, closed = this._closed; function getIndex(value, _default) { var index = value && value.index; if (index != null) { var path = value.path; if (path && path !== that) throw new Error(value._class + ' ' + index + ' of ' + path + ' is not part of ' + that); if (_default && value instanceof Curve) index++; } else { index = typeof value === 'number' ? value : _default; } return Math.min(index < 0 && closed ? index % length : index < 0 ? index + length : index, length - 1); } var loop = closed && opts.from === undefined && opts.to === undefined, from = getIndex(opts.from, 0), to = getIndex(opts.to, length - 1); if (from > to) { if (closed) { from -= length; } else { var tmp = from; from = to; to = tmp; } } if (/^(?:asymmetric|continuous)$/.test(type)) { var asymmetric = type === 'asymmetric', min = Math.min, amount = to - from + 1, n = amount - 1, padding = loop ? min(amount, 4) : 1, paddingLeft = padding, paddingRight = padding, knots = []; if (!closed) { paddingLeft = min(1, from); paddingRight = min(1, length - to - 1); } n += paddingLeft + paddingRight; if (n <= 1) return; for (var i = 0, j = from - paddingLeft; i <= n; i++, j++) { knots[i] = segments[(j < 0 ? j + length : j) % length]._point; } var x = knots[0]._x + 2 * knots[1]._x, y = knots[0]._y + 2 * knots[1]._y, f = 2, n_1 = n - 1, rx = [x], ry = [y], rf = [f], px = [], py = []; for (var i = 1; i < n; i++) { var internal = i < n_1, a = internal ? 1 : asymmetric ? 1 : 2, b = internal ? 4 : asymmetric ? 2 : 7, u = internal ? 4 : asymmetric ? 3 : 8, v = internal ? 2 : asymmetric ? 0 : 1, m = a / f; f = rf[i] = b - m; x = rx[i] = u * knots[i]._x + v * knots[i + 1]._x - m * x; y = ry[i] = u * knots[i]._y + v * knots[i + 1]._y - m * y; } px[n_1] = rx[n_1] / rf[n_1]; py[n_1] = ry[n_1] / rf[n_1]; for (var i = n - 2; i >= 0; i--) { px[i] = (rx[i] - px[i + 1]) / rf[i]; py[i] = (ry[i] - py[i + 1]) / rf[i]; } px[n] = (3 * knots[n]._x - px[n_1]) / 2; py[n] = (3 * knots[n]._y - py[n_1]) / 2; for (var i = paddingLeft, max = n - paddingRight, j = from; i <= max; i++, j++) { var segment = segments[j < 0 ? j + length : j], pt = segment._point, hx = px[i] - pt._x, hy = py[i] - pt._y; if (loop || i < max) segment.setHandleOut(hx, hy); if (loop || i > paddingLeft) segment.setHandleIn(-hx, -hy); } } else { for (var i = from; i <= to; i++) { segments[i < 0 ? i + length : i].smooth(opts, !loop && i === from, !loop && i === to); } } }, toShape: function(insert) { if (!this._closed) return null; var segments = this._segments, type, size, radius, topCenter; function isCollinear(i, j) { var seg1 = segments[i], seg2 = seg1.getNext(), seg3 = segments[j], seg4 = seg3.getNext(); return seg1._handleOut.isZero() && seg2._handleIn.isZero() && seg3._handleOut.isZero() && seg4._handleIn.isZero() && seg2._point.subtract(seg1._point).isCollinear( seg4._point.subtract(seg3._point)); } function isOrthogonal(i) { var seg2 = segments[i], seg1 = seg2.getPrevious(), seg3 = seg2.getNext(); return seg1._handleOut.isZero() && seg2._handleIn.isZero() && seg2._handleOut.isZero() && seg3._handleIn.isZero() && seg2._point.subtract(seg1._point).isOrthogonal( seg3._point.subtract(seg2._point)); } function isArc(i) { var seg1 = segments[i], seg2 = seg1.getNext(), handle1 = seg1._handleOut, handle2 = seg2._handleIn, kappa = 0.5522847498307936; if (handle1.isOrthogonal(handle2)) { var pt1 = seg1._point, pt2 = seg2._point, corner = new Line(pt1, handle1, true).intersect( new Line(pt2, handle2, true), true); return corner && Numerical.isZero(handle1.getLength() / corner.subtract(pt1).getLength() - kappa) && Numerical.isZero(handle2.getLength() / corner.subtract(pt2).getLength() - kappa); } return false; } function getDistance(i, j) { return segments[i]._point.getDistance(segments[j]._point); } if (!this.hasHandles() && segments.length === 4 && isCollinear(0, 2) && isCollinear(1, 3) && isOrthogonal(1)) { type = Shape.Rectangle; size = new Size(getDistance(0, 3), getDistance(0, 1)); topCenter = segments[1]._point.add(segments[2]._point).divide(2); } else if (segments.length === 8 && isArc(0) && isArc(2) && isArc(4) && isArc(6) && isCollinear(1, 5) && isCollinear(3, 7)) { type = Shape.Rectangle; size = new Size(getDistance(1, 6), getDistance(0, 3)); radius = size.subtract(new Size(getDistance(0, 7), getDistance(1, 2))).divide(2); topCenter = segments[3]._point.add(segments[4]._point).divide(2); } else if (segments.length === 4 && isArc(0) && isArc(1) && isArc(2) && isArc(3)) { if (Numerical.isZero(getDistance(0, 2) - getDistance(1, 3))) { type = Shape.Circle; radius = getDistance(0, 2) / 2; } else { type = Shape.Ellipse; radius = new Size(getDistance(2, 0) / 2, getDistance(3, 1) / 2); } topCenter = segments[1]._point; } if (type) { var center = this.getPosition(true), shape = new type({ center: center, size: size, radius: radius, insert: false }); shape.copyAttributes(this, true); shape._matrix.prepend(this._matrix); shape.rotate(topCenter.subtract(center).getAngle() + 90); if (insert === undefined || insert) shape.insertAbove(this); return shape; } return null; }, toPath: '#clone', compare: function compare(path) { if (!path || path instanceof CompoundPath) return compare.base.call(this, path); var curves1 = this.getCurves(), curves2 = path.getCurves(), length1 = curves1.length, length2 = curves2.length; if (!length1 || !length2) { return length1 == length2; } var v1 = curves1[0].getValues(), values2 = [], pos1 = 0, pos2, end1 = 0, end2; for (var i = 0; i < length2; i++) { var v2 = curves2[i].getValues(); values2.push(v2); var overlaps = Curve.getOverlaps(v1, v2); if (overlaps) { pos2 = !i && overlaps[0][0] > 0 ? length2 - 1 : i; end2 = overlaps[0][1]; break; } } var abs = Math.abs, epsilon = 1e-8, v2 = values2[pos2], start2; while (v1 && v2) { var overlaps = Curve.getOverlaps(v1, v2); if (overlaps) { var t1 = overlaps[0][0]; if (abs(t1 - end1) < epsilon) { end1 = overlaps[1][0]; if (end1 === 1) { v1 = ++pos1 < length1 ? curves1[pos1].getValues() : null; end1 = 0; } var t2 = overlaps[0][1]; if (abs(t2 - end2) < epsilon) { if (!start2) start2 = [pos2, t2]; end2 = overlaps[1][1]; if (end2 === 1) { if (++pos2 >= length2) pos2 = 0; v2 = values2[pos2] || curves2[pos2].getValues(); end2 = 0; } if (!v1) { return start2[0] === pos2 && start2[1] === end2; } continue; } } } break; } return false; }, _hitTestSelf: function(point, options, viewMatrix, strokeMatrix) { var that = this, style = this.getStyle(), segments = this._segments, numSegments = segments.length, closed = this._closed, tolerancePadding = options._tolerancePadding, strokePadding = tolerancePadding, join, cap, miterLimit, area, loc, res, hitStroke = options.stroke && style.hasStroke(), hitFill = options.hitUnfilledPaths ? options.fill : options.fill && style.hasFill(), hitCurves = options.curves, strokeRadius = hitStroke ? style.getStrokeWidth() / 2 : hitFill && options.tolerance > 0 || hitCurves ? 0 : null; if (strokeRadius !== null) { if (strokeRadius > 0) { join = style.getStrokeJoin(); cap = style.getStrokeCap(); miterLimit = style.getMiterLimit(); strokePadding = strokePadding.add( Path._getStrokePadding(strokeRadius, strokeMatrix)); } else { join = cap = 'round'; } } function isCloseEnough(pt, padding) { return point.subtract(pt).divide(padding).length <= 1; } function checkSegmentPoint(seg, pt, name) { if (!options.selected || pt.isSelected()) { var anchor = seg._point; if (pt !== anchor) pt = pt.add(anchor); if (isCloseEnough(pt, strokePadding)) { return new HitResult(name, that, { segment: seg, point: pt }); } } } function checkSegmentPoints(seg, ends) { return (ends || options.segments) && checkSegmentPoint(seg, seg._point, 'segment') || (!ends && options.handles) && ( checkSegmentPoint(seg, seg._handleIn, 'handle-in') || checkSegmentPoint(seg, seg._handleOut, 'handle-out')); } function addToArea(point) { area.add(point); } function checkSegmentStroke(segment) { var isJoin = closed || segment._index > 0 && segment._index < numSegments - 1; if ((isJoin ? join : cap) === 'round') { return isCloseEnough(segment._point, strokePadding); } else { area = new Path({ internal: true, closed: true }); if (isJoin) { if (!segment.isSmooth()) { Path._addBevelJoin(segment, join, strokeRadius, miterLimit, null, strokeMatrix, addToArea, true); } } else if (cap === 'square') { Path._addSquareCap(segment, cap, strokeRadius, null, strokeMatrix, addToArea, true); } if (!area.isEmpty()) { var loc; return area.contains(point) || (loc = area.getNearestLocation(point)) && isCloseEnough(loc.getPoint(), tolerancePadding); } } } if (options.ends && !options.segments && !closed) { if (res = checkSegmentPoints(segments[0], true) || checkSegmentPoints(segments[numSegments - 1], true)) return res; } else if (options.segments || options.handles) { for (var i = 0; i < numSegments; i++) if (res = checkSegmentPoints(segments[i])) return res; } if (strokeRadius !== null) { loc = this.getNearestLocation(point); if (loc) { var time = loc.getTime(); if (time === 0 || time === 1 && numSegments > 1) { if (!checkSegmentStroke(loc.getSegment())) loc = null; } else if (!isCloseEnough(loc.getPoint(), strokePadding)) { loc = null; } } if (!loc && join === 'miter' && numSegments > 1) { for (var i = 0; i < numSegments; i++) { var segment = segments[i]; if (point.getDistance(segment._point) <= miterLimit * strokeRadius && checkSegmentStroke(segment)) { loc = segment.getLocation(); break; } } } } return !loc && hitFill && this._contains(point) || loc && !hitStroke && !hitCurves ? new HitResult('fill', this) : loc ? new HitResult(hitStroke ? 'stroke' : 'curve', this, { location: loc, point: loc.getPoint() }) : null; } }, Base.each(Curve._evaluateMethods, function(name) { this[name + 'At'] = function(offset) { var loc = this.getLocationAt(offset); return loc && loc[name](); }; }, { beans: false, getLocationOf: function() { var point = Point.read(arguments), curves = this.getCurves(); for (var i = 0, l = curves.length; i < l; i++) { var loc = curves[i].getLocationOf(point); if (loc) return loc; } return null; }, getOffsetOf: function() { var loc = this.getLocationOf.apply(this, arguments); return loc ? loc.getOffset() : null; }, getLocationAt: function(offset) { if (typeof offset === 'number') { var curves = this.getCurves(), length = 0; for (var i = 0, l = curves.length; i < l; i++) { var start = length, curve = curves[i]; length += curve.getLength(); if (length > offset) { return curve.getLocationAt(offset - start); } } if (curves.length > 0 && offset <= this.getLength()) { return new CurveLocation(curves[curves.length - 1], 1); } } else if (offset && offset.getPath && offset.getPath() === this) { return offset; } return null; }, getOffsetsWithTangent: function() { var tangent = Point.read(arguments); if (tangent.isZero()) { return []; } var offsets = []; var curveStart = 0; var curves = this.getCurves(); for (var i = 0, l = curves.length; i < l; i++) { var curve = curves[i]; var curveTimes = curve.getTimesWithTangent(tangent); for (var j = 0, m = curveTimes.length; j < m; j++) { var offset = curveStart + curve.getOffsetAtTime(curveTimes[j]); if (offsets.indexOf(offset) < 0) { offsets.push(offset); } } curveStart += curve.length; } return offsets; } }), new function() { function drawHandles(ctx, segments, matrix, size, isFullySelected) { if (size === 0) { return; } var half = size / 2, coords = new Array(6), pX, pY; function drawHandle(index) { var hX = coords[index], hY = coords[index + 1]; if (pX != hX || pY != hY) { ctx.beginPath(); ctx.moveTo(pX, pY); ctx.lineTo(hX, hY); ctx.moveTo(hX - half, hY); ctx.lineTo(hX, hY + half); ctx.lineTo(hX + half, hY); ctx.lineTo(hX, hY - half); ctx.closePath(); ctx.stroke(); } } for (var i = 0, l = segments.length; i < l; i++) { var segment = segments[i], selection = segment._selection; segment._transformCoordinates(matrix, coords); pX = coords[0]; pY = coords[1]; if (selection & 2 && !isFullySelected) drawHandle(2); if (selection & 4 && !isFullySelected) drawHandle(4); ctx.beginPath(); ctx.arc(pX, pY, half, 0, Math.PI * 2, true); ctx.stroke(); var fillStyle = ctx.fillStyle; if (!(selection & 1)) { ctx.fillStyle = 'rgba(255, 255, 255, 0.5)'; } ctx.fill(); ctx.fillStyle = fillStyle; } } function drawSegments(ctx, path, matrix) { var segments = path._segments, length = segments.length, coords = new Array(6), first = true, curX, curY, prevX, prevY, inX, inY, outX, outY; function drawSegment(segment) { if (matrix) { segment._transformCoordinates(matrix, coords); curX = coords[0]; curY = coords[1]; } else { var point = segment._point; curX = point._x; curY = point._y; } if (first) { ctx.moveTo(curX, curY); first = false; } else { if (matrix) { inX = coords[2]; inY = coords[3]; } else { var handle = segment._handleIn; inX = curX + handle._x; inY = curY + handle._y; } if (inX === curX && inY === curY && outX === prevX && outY === prevY) { ctx.lineTo(curX, curY); } else { ctx.bezierCurveTo(outX, outY, inX, inY, curX, curY); } } prevX = curX; prevY = curY; if (matrix) { outX = coords[4]; outY = coords[5]; } else { var handle = segment._handleOut; outX = prevX + handle._x; outY = prevY + handle._y; } } for (var i = 0; i < length; i++) drawSegment(segments[i]); if (path._closed && length > 0) drawSegment(segments[0]); } return { _draw: function(ctx, param, viewMatrix, strokeMatrix) { var dontStart = param.dontStart, dontPaint = param.dontFinish || param.clip, style = this.getStyle(), hasFill = style.hasFill(), hasStroke = style.hasStroke(), dashArray = style.getDashArray(), dashLength = !paper.support.nativeDash && hasStroke && dashArray && dashArray.length; if (!dontStart) ctx.beginPath(); if (hasFill || hasStroke && !dashLength || dontPaint) { drawSegments(ctx, this, strokeMatrix); if (this._closed) ctx.closePath(); } function getOffset(i) { return dashArray[((i % dashLength) + dashLength) % dashLength]; } if (!dontPaint && (hasFill || hasStroke)) { this._setStyles(ctx, param, viewMatrix); if (hasFill) { ctx.fill(style.getFillRule()); ctx.shadowColor = 'rgba(0,0,0,0)'; } if (hasStroke) { if (dashLength) { if (!dontStart) ctx.beginPath(); var flattener = new PathFlattener(this, 0.25, 32, false, strokeMatrix), length = flattener.length, from = -style.getDashOffset(), to, i = 0; from = from % length; while (from > 0) { from -= getOffset(i--) + getOffset(i--); } while (from < length) { to = from + getOffset(i++); if (from > 0 || to > 0) flattener.drawPart(ctx, Math.max(from, 0), Math.max(to, 0)); from = to + getOffset(i++); } } ctx.stroke(); } } }, _drawSelected: function(ctx, matrix) { ctx.beginPath(); drawSegments(ctx, this, matrix); ctx.stroke(); drawHandles(ctx, this._segments, matrix, paper.settings.handleSize, this.isFullySelected()); } }; }, new function() { function getCurrentSegment(that) { var segments = that._segments; if (!segments.length) throw new Error('Use a moveTo() command first'); return segments[segments.length - 1]; } return { moveTo: function() { var segments = this._segments; if (segments.length === 1) this.removeSegment(0); if (!segments.length) this._add([ new Segment(Point.read(arguments)) ]); }, moveBy: function() { throw new Error('moveBy() is unsupported on Path items.'); }, lineTo: function() { this._add([ new Segment(Point.read(arguments)) ]); }, cubicCurveTo: function() { var handle1 = Point.read(arguments), handle2 = Point.read(arguments), to = Point.read(arguments), current = getCurrentSegment(this); current.setHandleOut(handle1.subtract(current._point)); this._add([ new Segment(to, handle2.subtract(to)) ]); }, quadraticCurveTo: function() { var handle = Point.read(arguments), to = Point.read(arguments), current = getCurrentSegment(this)._point; this.cubicCurveTo( handle.add(current.subtract(handle).multiply(1 / 3)), handle.add(to.subtract(handle).multiply(1 / 3)), to ); }, curveTo: function() { var through = Point.read(arguments), to = Point.read(arguments), t = Base.pick(Base.read(arguments), 0.5), t1 = 1 - t, current = getCurrentSegment(this)._point, handle = through.subtract(current.multiply(t1 * t1)) .subtract(to.multiply(t * t)).divide(2 * t * t1); if (handle.isNaN()) throw new Error( 'Cannot put a curve through points with parameter = ' + t); this.quadraticCurveTo(handle, to); }, arcTo: function() { var abs = Math.abs, sqrt = Math.sqrt, current = getCurrentSegment(this), from = current._point, to = Point.read(arguments), through, peek = Base.peek(arguments), clockwise = Base.pick(peek, true), center, extent, vector, matrix; if (typeof clockwise === 'boolean') { var middle = from.add(to).divide(2), through = middle.add(middle.subtract(from).rotate( clockwise ? -90 : 90)); } else if (Base.remain(arguments) <= 2) { through = to; to = Point.read(arguments); } else { var radius = Size.read(arguments), isZero = Numerical.isZero; if (isZero(radius.width) || isZero(radius.height)) return this.lineTo(to); var rotation = Base.read(arguments), clockwise = !!Base.read(arguments), large = !!Base.read(arguments), middle = from.add(to).divide(2), pt = from.subtract(middle).rotate(-rotation), x = pt.x, y = pt.y, rx = abs(radius.width), ry = abs(radius.height), rxSq = rx * rx, rySq = ry * ry, xSq = x * x, ySq = y * y; var factor = sqrt(xSq / rxSq + ySq / rySq); if (factor > 1) { rx *= factor; ry *= factor; rxSq = rx * rx; rySq = ry * ry; } factor = (rxSq * rySq - rxSq * ySq - rySq * xSq) / (rxSq * ySq + rySq * xSq); if (abs(factor) < 1e-12) factor = 0; if (factor < 0) throw new Error( 'Cannot create an arc with the given arguments'); center = new Point(rx * y / ry, -ry * x / rx) .multiply((large === clockwise ? -1 : 1) * sqrt(factor)) .rotate(rotation).add(middle); matrix = new Matrix().translate(center).rotate(rotation) .scale(rx, ry); vector = matrix._inverseTransform(from); extent = vector.getDirectedAngle(matrix._inverseTransform(to)); if (!clockwise && extent > 0) extent -= 360; else if (clockwise && extent < 0) extent += 360; } if (through) { var l1 = new Line(from.add(through).divide(2), through.subtract(from).rotate(90), true), l2 = new Line(through.add(to).divide(2), to.subtract(through).rotate(90), true), line = new Line(from, to), throughSide = line.getSide(through); center = l1.intersect(l2, true); if (!center) { if (!throughSide) return this.lineTo(to); throw new Error( 'Cannot create an arc with the given arguments'); } vector = from.subtract(center); extent = vector.getDirectedAngle(to.subtract(center)); var centerSide = line.getSide(center, true); if (centerSide === 0) { extent = throughSide * abs(extent); } else if (throughSide === centerSide) { extent += extent < 0 ? 360 : -360; } } var epsilon = 1e-7, ext = abs(extent), count = ext >= 360 ? 4 : Math.ceil((ext - epsilon) / 90), inc = extent / count, half = inc * Math.PI / 360, z = 4 / 3 * Math.sin(half) / (1 + Math.cos(half)), segments = []; for (var i = 0; i <= count; i++) { var pt = to, out = null; if (i < count) { out = vector.rotate(90).multiply(z); if (matrix) { pt = matrix._transformPoint(vector); out = matrix._transformPoint(vector.add(out)) .subtract(pt); } else { pt = center.add(vector); } } if (!i) { current.setHandleOut(out); } else { var _in = vector.rotate(-90).multiply(z); if (matrix) { _in = matrix._transformPoint(vector.add(_in)) .subtract(pt); } segments.push(new Segment(pt, _in, out)); } vector = vector.rotate(inc); } this._add(segments); }, lineBy: function() { var to = Point.read(arguments), current = getCurrentSegment(this)._point; this.lineTo(current.add(to)); }, curveBy: function() { var through = Point.read(arguments), to = Point.read(arguments), parameter = Base.read(arguments), current = getCurrentSegment(this)._point; this.curveTo(current.add(through), current.add(to), parameter); }, cubicCurveBy: function() { var handle1 = Point.read(arguments), handle2 = Point.read(arguments), to = Point.read(arguments), current = getCurrentSegment(this)._point; this.cubicCurveTo(current.add(handle1), current.add(handle2), current.add(to)); }, quadraticCurveBy: function() { var handle = Point.read(arguments), to = Point.read(arguments), current = getCurrentSegment(this)._point; this.quadraticCurveTo(current.add(handle), current.add(to)); }, arcBy: function() { var current = getCurrentSegment(this)._point, point = current.add(Point.read(arguments)), clockwise = Base.pick(Base.peek(arguments), true); if (typeof clockwise === 'boolean') { this.arcTo(point, clockwise); } else { this.arcTo(point, current.add(Point.read(arguments))); } }, closePath: function(tolerance) { this.setClosed(true); this.join(this, tolerance); } }; }, { _getBounds: function(matrix, options) { var method = options.handle ? 'getHandleBounds' : options.stroke ? 'getStrokeBounds' : 'getBounds'; return Path[method](this._segments, this._closed, this, matrix, options); }, statics: { getBounds: function(segments, closed, path, matrix, options, strokePadding) { var first = segments[0]; if (!first) return new Rectangle(); var coords = new Array(6), prevCoords = first._transformCoordinates(matrix, new Array(6)), min = prevCoords.slice(0, 2), max = min.slice(), roots = new Array(2); function processSegment(segment) { segment._transformCoordinates(matrix, coords); for (var i = 0; i < 2; i++) { Curve._addBounds( prevCoords[i], prevCoords[i + 4], coords[i + 2], coords[i], i, strokePadding ? strokePadding[i] : 0, min, max, roots); } var tmp = prevCoords; prevCoords = coords; coords = tmp; } for (var i = 1, l = segments.length; i < l; i++) processSegment(segments[i]); if (closed) processSegment(first); return new Rectangle(min[0], min[1], max[0] - min[0], max[1] - min[1]); }, getStrokeBounds: function(segments, closed, path, matrix, options) { var style = path.getStyle(), stroke = style.hasStroke(), strokeWidth = style.getStrokeWidth(), strokeMatrix = stroke && path._getStrokeMatrix(matrix, options), strokePadding = stroke && Path._getStrokePadding(strokeWidth, strokeMatrix), bounds = Path.getBounds(segments, closed, path, matrix, options, strokePadding); if (!stroke) return bounds; var strokeRadius = strokeWidth / 2, join = style.getStrokeJoin(), cap = style.getStrokeCap(), miterLimit = style.getMiterLimit(), joinBounds = new Rectangle(new Size(strokePadding)); function addPoint(point) { bounds = bounds.include(point); } function addRound(segment) { bounds = bounds.unite( joinBounds.setCenter(segment._point.transform(matrix))); } function addJoin(segment, join) { if (join === 'round' || segment.isSmooth()) { addRound(segment); } else { Path._addBevelJoin(segment, join, strokeRadius, miterLimit, matrix, strokeMatrix, addPoint); } } function addCap(segment, cap) { if (cap === 'round') { addRound(segment); } else { Path._addSquareCap(segment, cap, strokeRadius, matrix, strokeMatrix, addPoint); } } var length = segments.length - (closed ? 0 : 1); for (var i = 1; i < length; i++) addJoin(segments[i], join); if (closed) { addJoin(segments[0], join); } else if (length > 0) { addCap(segments[0], cap); addCap(segments[segments.length - 1], cap); } return bounds; }, _getStrokePadding: function(radius, matrix) { if (!matrix) return [radius, radius]; var hor = new Point(radius, 0).transform(matrix), ver = new Point(0, radius).transform(matrix), phi = hor.getAngleInRadians(), a = hor.getLength(), b = ver.getLength(); var sin = Math.sin(phi), cos = Math.cos(phi), tan = Math.tan(phi), tx = Math.atan2(b * tan, a), ty = Math.atan2(b, tan * a); return [Math.abs(a * Math.cos(tx) * cos + b * Math.sin(tx) * sin), Math.abs(b * Math.sin(ty) * cos + a * Math.cos(ty) * sin)]; }, _addBevelJoin: function(segment, join, radius, miterLimit, matrix, strokeMatrix, addPoint, isArea) { var curve2 = segment.getCurve(), curve1 = curve2.getPrevious(), point = curve2.getPoint1().transform(matrix), normal1 = curve1.getNormalAtTime(1).multiply(radius) .transform(strokeMatrix), normal2 = curve2.getNormalAtTime(0).multiply(radius) .transform(strokeMatrix); if (normal1.getDirectedAngle(normal2) < 0) { normal1 = normal1.negate(); normal2 = normal2.negate(); } if (isArea) addPoint(point); addPoint(point.add(normal1)); if (join === 'miter') { var corner = new Line(point.add(normal1), new Point(-normal1.y, normal1.x), true ).intersect(new Line(point.add(normal2), new Point(-normal2.y, normal2.x), true ), true); if (corner && point.getDistance(corner) <= miterLimit * radius) { addPoint(corner); } } addPoint(point.add(normal2)); }, _addSquareCap: function(segment, cap, radius, matrix, strokeMatrix, addPoint, isArea) { var point = segment._point.transform(matrix), loc = segment.getLocation(), normal = loc.getNormal() .multiply(loc.getTime() === 0 ? radius : -radius) .transform(strokeMatrix); if (cap === 'square') { if (isArea) { addPoint(point.subtract(normal)); addPoint(point.add(normal)); } point = point.add(normal.rotate(-90)); } addPoint(point.add(normal)); addPoint(point.subtract(normal)); }, getHandleBounds: function(segments, closed, path, matrix, options) { var style = path.getStyle(), stroke = options.stroke && style.hasStroke(), strokePadding, joinPadding; if (stroke) { var strokeMatrix = path._getStrokeMatrix(matrix, options), strokeRadius = style.getStrokeWidth() / 2, joinRadius = strokeRadius; if (style.getStrokeJoin() === 'miter') joinRadius = strokeRadius * style.getMiterLimit(); if (style.getStrokeCap() === 'square') joinRadius = Math.max(joinRadius, strokeRadius * Math.SQRT2); strokePadding = Path._getStrokePadding(strokeRadius, strokeMatrix); joinPadding = Path._getStrokePadding(joinRadius, strokeMatrix); } var coords = new Array(6), x1 = Infinity, x2 = -x1, y1 = x1, y2 = x2; for (var i = 0, l = segments.length; i < l; i++) { var segment = segments[i]; segment._transformCoordinates(matrix, coords); for (var j = 0; j < 6; j += 2) { var padding = !j ? joinPadding : strokePadding, paddingX = padding ? padding[0] : 0, paddingY = padding ? padding[1] : 0, x = coords[j], y = coords[j + 1], xn = x - paddingX, xx = x + paddingX, yn = y - paddingY, yx = y + paddingY; if (xn < x1) x1 = xn; if (xx > x2) x2 = xx; if (yn < y1) y1 = yn; if (yx > y2) y2 = yx; } } return new Rectangle(x1, y1, x2 - x1, y2 - y1); } }}); Path.inject({ statics: new function() { var kappa = 0.5522847498307936, ellipseSegments = [ new Segment([-1, 0], [0, kappa ], [0, -kappa]), new Segment([0, -1], [-kappa, 0], [kappa, 0 ]), new Segment([1, 0], [0, -kappa], [0, kappa ]), new Segment([0, 1], [kappa, 0 ], [-kappa, 0]) ]; function createPath(segments, closed, args) { var props = Base.getNamed(args), path = new Path(props && props.insert == false && Item.NO_INSERT); path._add(segments); path._closed = closed; return path.set(props, { insert: true }); } function createEllipse(center, radius, args) { var segments = new Array(4); for (var i = 0; i < 4; i++) { var segment = ellipseSegments[i]; segments[i] = new Segment( segment._point.multiply(radius).add(center), segment._handleIn.multiply(radius), segment._handleOut.multiply(radius) ); } return createPath(segments, true, args); } return { Line: function() { return createPath([ new Segment(Point.readNamed(arguments, 'from')), new Segment(Point.readNamed(arguments, 'to')) ], false, arguments); }, Circle: function() { var center = Point.readNamed(arguments, 'center'), radius = Base.readNamed(arguments, 'radius'); return createEllipse(center, new Size(radius), arguments); }, Rectangle: function() { var rect = Rectangle.readNamed(arguments, 'rectangle'), radius = Size.readNamed(arguments, 'radius', 0, { readNull: true }), bl = rect.getBottomLeft(true), tl = rect.getTopLeft(true), tr = rect.getTopRight(true), br = rect.getBottomRight(true), segments; if (!radius || radius.isZero()) { segments = [ new Segment(bl), new Segment(tl), new Segment(tr), new Segment(br) ]; } else { radius = Size.min(radius, rect.getSize(true).divide(2)); var rx = radius.width, ry = radius.height, hx = rx * kappa, hy = ry * kappa; segments = [ new Segment(bl.add(rx, 0), null, [-hx, 0]), new Segment(bl.subtract(0, ry), [0, hy]), new Segment(tl.add(0, ry), null, [0, -hy]), new Segment(tl.add(rx, 0), [-hx, 0], null), new Segment(tr.subtract(rx, 0), null, [hx, 0]), new Segment(tr.add(0, ry), [0, -hy], null), new Segment(br.subtract(0, ry), null, [0, hy]), new Segment(br.subtract(rx, 0), [hx, 0]) ]; } return createPath(segments, true, arguments); }, RoundRectangle: '#Rectangle', Ellipse: function() { var ellipse = Shape._readEllipse(arguments); return createEllipse(ellipse.center, ellipse.radius, arguments); }, Oval: '#Ellipse', Arc: function() { var from = Point.readNamed(arguments, 'from'), through = Point.readNamed(arguments, 'through'), to = Point.readNamed(arguments, 'to'), props = Base.getNamed(arguments), path = new Path(props && props.insert == false && Item.NO_INSERT); path.moveTo(from); path.arcTo(through, to); return path.set(props); }, RegularPolygon: function() { var center = Point.readNamed(arguments, 'center'), sides = Base.readNamed(arguments, 'sides'), radius = Base.readNamed(arguments, 'radius'), step = 360 / sides, three = sides % 3 === 0, vector = new Point(0, three ? -radius : radius), offset = three ? -1 : 0.5, segments = new Array(sides); for (var i = 0; i < sides; i++) segments[i] = new Segment(center.add( vector.rotate((i + offset) * step))); return createPath(segments, true, arguments); }, Star: function() { var center = Point.readNamed(arguments, 'center'), points = Base.readNamed(arguments, 'points') * 2, radius1 = Base.readNamed(arguments, 'radius1'), radius2 = Base.readNamed(arguments, 'radius2'), step = 360 / points, vector = new Point(0, -1), segments = new Array(points); for (var i = 0; i < points; i++) segments[i] = new Segment(center.add(vector.rotate(step * i) .multiply(i % 2 ? radius2 : radius1))); return createPath(segments, true, arguments); } }; }}); var CompoundPath = PathItem.extend({ _class: 'CompoundPath', _serializeFields: { children: [] }, beans: true, initialize: function CompoundPath(arg) { this._children = []; this._namedChildren = {}; if (!this._initialize(arg)) { if (typeof arg === 'string') { this.setPathData(arg); } else { this.addChildren(Array.isArray(arg) ? arg : arguments); } } }, insertChildren: function insertChildren(index, items) { var list = items, first = list[0]; if (first && typeof first[0] === 'number') list = [list]; for (var i = items.length - 1; i >= 0; i--) { var item = list[i]; if (list === items && !(item instanceof Path)) list = Base.slice(list); if (Array.isArray(item)) { list[i] = new Path({ segments: item, insert: false }); } else if (item instanceof CompoundPath) { list.splice.apply(list, [i, 1].concat(item.removeChildren())); item.remove(); } } return insertChildren.base.call(this, index, list); }, reduce: function reduce(options) { var children = this._children; for (var i = children.length - 1; i >= 0; i--) { var path = children[i].reduce(options); if (path.isEmpty()) path.remove(); } if (!children.length) { var path = new Path(Item.NO_INSERT); path.copyAttributes(this); path.insertAbove(this); this.remove(); return path; } return reduce.base.call(this); }, isClosed: function() { var children = this._children; for (var i = 0, l = children.length; i < l; i++) { if (!children[i]._closed) return false; } return true; }, setClosed: function(closed) { var children = this._children; for (var i = 0, l = children.length; i < l; i++) { children[i].setClosed(closed); } }, getFirstSegment: function() { var first = this.getFirstChild(); return first && first.getFirstSegment(); }, getLastSegment: function() { var last = this.getLastChild(); return last && last.getLastSegment(); }, getCurves: function() { var children = this._children, curves = []; for (var i = 0, l = children.length; i < l; i++) { Base.push(curves, children[i].getCurves()); } return curves; }, getFirstCurve: function() { var first = this.getFirstChild(); return first && first.getFirstCurve(); }, getLastCurve: function() { var last = this.getLastChild(); return last && last.getLastCurve(); }, getArea: function() { var children = this._children, area = 0; for (var i = 0, l = children.length; i < l; i++) area += children[i].getArea(); return area; }, getLength: function() { var children = this._children, length = 0; for (var i = 0, l = children.length; i < l; i++) length += children[i].getLength(); return length; }, getPathData: function(_matrix, _precision) { var children = this._children, paths = []; for (var i = 0, l = children.length; i < l; i++) { var child = children[i], mx = child._matrix; paths.push(child.getPathData(_matrix && !mx.isIdentity() ? _matrix.appended(mx) : _matrix, _precision)); } return paths.join(''); }, _hitTestChildren: function _hitTestChildren(point, options, viewMatrix) { return _hitTestChildren.base.call(this, point, options.class === Path || options.type === 'path' || options.hitUnfilledPaths ? options : Base.set({}, options, { fill: false }), viewMatrix); }, _draw: function(ctx, param, viewMatrix, strokeMatrix) { var children = this._children; if (!children.length) return; param = param.extend({ dontStart: true, dontFinish: true }); ctx.beginPath(); for (var i = 0, l = children.length; i < l; i++) children[i].draw(ctx, param, strokeMatrix); if (!param.clip) { this._setStyles(ctx, param, viewMatrix); var style = this._style; if (style.hasFill()) { ctx.fill(style.getFillRule()); ctx.shadowColor = 'rgba(0,0,0,0)'; } if (style.hasStroke()) ctx.stroke(); } }, _drawSelected: function(ctx, matrix, selectionItems) { var children = this._children; for (var i = 0, l = children.length; i < l; i++) { var child = children[i], mx = child._matrix; if (!selectionItems[child._id]) { child._drawSelected(ctx, mx.isIdentity() ? matrix : matrix.appended(mx)); } } } }, new function() { function getCurrentPath(that, check) { var children = that._children; if (check && !children.length) throw new Error('Use a moveTo() command first'); return children[children.length - 1]; } return Base.each(['lineTo', 'cubicCurveTo', 'quadraticCurveTo', 'curveTo', 'arcTo', 'lineBy', 'cubicCurveBy', 'quadraticCurveBy', 'curveBy', 'arcBy'], function(key) { this[key] = function() { var path = getCurrentPath(this, true); path[key].apply(path, arguments); }; }, { moveTo: function() { var current = getCurrentPath(this), path = current && current.isEmpty() ? current : new Path(Item.NO_INSERT); if (path !== current) this.addChild(path); path.moveTo.apply(path, arguments); }, moveBy: function() { var current = getCurrentPath(this, true), last = current && current.getLastSegment(), point = Point.read(arguments); this.moveTo(last ? point.add(last._point) : point); }, closePath: function(tolerance) { getCurrentPath(this, true).closePath(tolerance); } } ); }, Base.each(['reverse', 'flatten', 'simplify', 'smooth'], function(key) { this[key] = function(param) { var children = this._children, res; for (var i = 0, l = children.length; i < l; i++) { res = children[i][key](param) || res; } return res; }; }, {})); PathItem.inject(new function() { var min = Math.min, max = Math.max, abs = Math.abs, operators = { unite: { '1': true, '2': true }, intersect: { '2': true }, subtract: { '1': true }, exclude: { '1': true, '-1': true } }; function preparePath(path, resolve) { var res = path.clone(false).reduce({ simplify: true }) .transform(null, true, true); return resolve ? res.resolveCrossings().reorient( res.getFillRule() === 'nonzero', true) : res; } function createResult(paths, simplify, path1, path2, options) { var result = new CompoundPath(Item.NO_INSERT); result.addChildren(paths, true); result = result.reduce({ simplify: simplify }); if (!(options && options.insert == false)) { result.insertAbove(path2 && path1.isSibling(path2) && path1.getIndex() < path2.getIndex() ? path2 : path1); } result.copyAttributes(path1, true); return result; } function traceBoolean(path1, path2, operation, options) { if (options && (options.trace == false || options.stroke) && /^(subtract|intersect)$/.test(operation)) return splitBoolean(path1, path2, operation); var _path1 = preparePath(path1, true), _path2 = path2 && path1 !== path2 && preparePath(path2, true), operator = operators[operation]; operator[operation] = true; if (_path2 && (operator.subtract || operator.exclude) ^ (_path2.isClockwise() ^ _path1.isClockwise())) _path2.reverse(); var crossings = divideLocations( CurveLocation.expand(_path1.getCrossings(_path2))), paths1 = _path1._children || [_path1], paths2 = _path2 && (_path2._children || [_path2]), segments = [], curves = [], paths; function collect(paths) { for (var i = 0, l = paths.length; i < l; i++) { var path = paths[i]; Base.push(segments, path._segments); Base.push(curves, path.getCurves()); path._overlapsOnly = true; } } if (crossings.length) { collect(paths1); if (paths2) collect(paths2); for (var i = 0, l = crossings.length; i < l; i++) { propagateWinding(crossings[i]._segment, _path1, _path2, curves, operator); } for (var i = 0, l = segments.length; i < l; i++) { var segment = segments[i], inter = segment._intersection; if (!segment._winding) { propagateWinding(segment, _path1, _path2, curves, operator); } if (!(inter && inter._overlap)) segment._path._overlapsOnly = false; } paths = tracePaths(segments, operator); } else { paths = reorientPaths( paths2 ? paths1.concat(paths2) : paths1.slice(), function(w) { return !!operator[w]; }); } return createResult(paths, true, path1, path2, options); } function splitBoolean(path1, path2, operation) { var _path1 = preparePath(path1), _path2 = preparePath(path2), crossings = _path1.getCrossings(_path2), subtract = operation === 'subtract', divide = operation === 'divide', added = {}, paths = []; function addPath(path) { if (!added[path._id] && (divide || _path2.contains(path.getPointAt(path.getLength() / 2)) ^ subtract)) { paths.unshift(path); return added[path._id] = true; } } for (var i = crossings.length - 1; i >= 0; i--) { var path = crossings[i].split(); if (path) { if (addPath(path)) path.getFirstSegment().setHandleIn(0, 0); _path1.getLastSegment().setHandleOut(0, 0); } } addPath(_path1); return createResult(paths, false, path1, path2); } function linkIntersections(from, to) { var prev = from; while (prev) { if (prev === to) return; prev = prev._previous; } while (from._next && from._next !== to) from = from._next; if (!from._next) { while (to._previous) to = to._previous; from._next = to; to._previous = from; } } function clearCurveHandles(curves) { for (var i = curves.length - 1; i >= 0; i--) curves[i].clearHandles(); } function reorientPaths(paths, isInside, clockwise) { var length = paths && paths.length; if (length) { var lookup = Base.each(paths, function (path, i) { this[path._id] = { container: null, winding: path.isClockwise() ? 1 : -1, index: i }; }, {}), sorted = paths.slice().sort(function (a, b) { return abs(b.getArea()) - abs(a.getArea()); }), first = sorted[0]; if (clockwise == null) clockwise = first.isClockwise(); for (var i = 0; i < length; i++) { var path1 = sorted[i], entry1 = lookup[path1._id], point = path1.getInteriorPoint(), containerWinding = 0; for (var j = i - 1; j >= 0; j--) { var path2 = sorted[j]; if (path2.contains(point)) { var entry2 = lookup[path2._id]; containerWinding = entry2.winding; entry1.winding += containerWinding; entry1.container = entry2.exclude ? entry2.container : path2; break; } } if (isInside(entry1.winding) === isInside(containerWinding)) { entry1.exclude = true; paths[entry1.index] = null; } else { var container = entry1.container; path1.setClockwise(container ? !container.isClockwise() : clockwise); } } } return paths; } function divideLocations(locations, include, clearLater) { var results = include && [], tMin = 1e-8, tMax = 1 - tMin, clearHandles = false, clearCurves = clearLater || [], clearLookup = clearLater && {}, renormalizeLocs, prevCurve, prevTime; function getId(curve) { return curve._path._id + '.' + curve._segment1._index; } for (var i = (clearLater && clearLater.length) - 1; i >= 0; i--) { var curve = clearLater[i]; if (curve._path) clearLookup[getId(curve)] = true; } for (var i = locations.length - 1; i >= 0; i--) { var loc = locations[i], time = loc._time, origTime = time, exclude = include && !include(loc), curve = loc._curve, segment; if (curve) { if (curve !== prevCurve) { clearHandles = !curve.hasHandles() || clearLookup && clearLookup[getId(curve)]; renormalizeLocs = []; prevTime = null; prevCurve = curve; } else if (prevTime >= tMin) { time /= prevTime; } } if (exclude) { if (renormalizeLocs) renormalizeLocs.push(loc); continue; } else if (include) { results.unshift(loc); } prevTime = origTime; if (time < tMin) { segment = curve._segment1; } else if (time > tMax) { segment = curve._segment2; } else { var newCurve = curve.divideAtTime(time, true); if (clearHandles) clearCurves.push(curve, newCurve); segment = newCurve._segment1; for (var j = renormalizeLocs.length - 1; j >= 0; j--) { var l = renormalizeLocs[j]; l._time = (l._time - time) / (1 - time); } } loc._setSegment(segment); var inter = segment._intersection, dest = loc._intersection; if (inter) { linkIntersections(inter, dest); var other = inter; while (other) { linkIntersections(other._intersection, inter); other = other._next; } } else { segment._intersection = dest; } } if (!clearLater) clearCurveHandles(clearCurves); return results || locations; } function getWinding(point, curves, dir, closed, dontFlip) { var ia = dir ? 1 : 0, io = ia ^ 1, pv = [point.x, point.y], pa = pv[ia], po = pv[io], windingEpsilon = 1e-9, qualityEpsilon = 1e-6, paL = pa - windingEpsilon, paR = pa + windingEpsilon, windingL = 0, windingR = 0, pathWindingL = 0, pathWindingR = 0, onPath = false, onAnyPath = false, quality = 1, roots = [], vPrev, vClose; function addWinding(v) { var o0 = v[io + 0], o3 = v[io + 6]; if (po < min(o0, o3) || po > max(o0, o3)) { return; } var a0 = v[ia + 0], a1 = v[ia + 2], a2 = v[ia + 4], a3 = v[ia + 6]; if (o0 === o3) { if (a0 < paR && a3 > paL || a3 < paR && a0 > paL) { onPath = true; } return; } var t = po === o0 ? 0 : po === o3 ? 1 : paL > max(a0, a1, a2, a3) || paR < min(a0, a1, a2, a3) ? 1 : Curve.solveCubic(v, io, po, roots, 0, 1) > 0 ? roots[0] : 1, a = t === 0 ? a0 : t === 1 ? a3 : Curve.getPoint(v, t)[dir ? 'y' : 'x'], winding = o0 > o3 ? 1 : -1, windingPrev = vPrev[io] > vPrev[io + 6] ? 1 : -1, a3Prev = vPrev[ia + 6]; if (po !== o0) { if (a < paL) { pathWindingL += winding; } else if (a > paR) { pathWindingR += winding; } else { onPath = true; } if (a > pa - qualityEpsilon && a < pa + qualityEpsilon) quality /= 2; } else { if (winding !== windingPrev) { if (a0 < paL) { pathWindingL += winding; } else if (a0 > paR) { pathWindingR += winding; } } else if (a0 != a3Prev) { if (a3Prev < paR && a > paR) { pathWindingR += winding; onPath = true; } else if (a3Prev > paL && a < paL) { pathWindingL += winding; onPath = true; } } quality = 0; } vPrev = v; return !dontFlip && a > paL && a < paR && Curve.getTangent(v, t)[dir ? 'x' : 'y'] === 0 && getWinding(point, curves, !dir, closed, true); } function handleCurve(v) { var o0 = v[io + 0], o1 = v[io + 2], o2 = v[io + 4], o3 = v[io + 6]; if (po <= max(o0, o1, o2, o3) && po >= min(o0, o1, o2, o3)) { var a0 = v[ia + 0], a1 = v[ia + 2], a2 = v[ia + 4], a3 = v[ia + 6], monoCurves = paL > max(a0, a1, a2, a3) || paR < min(a0, a1, a2, a3) ? [v] : Curve.getMonoCurves(v, dir), res; for (var i = 0, l = monoCurves.length; i < l; i++) { if (res = addWinding(monoCurves[i])) return res; } } } for (var i = 0, l = curves.length; i < l; i++) { var curve = curves[i], path = curve._path, v = curve.getValues(), res; if (!i || curves[i - 1]._path !== path) { vPrev = null; if (!path._closed) { vClose = Curve.getValues( path.getLastCurve().getSegment2(), curve.getSegment1(), null, !closed); if (vClose[io] !== vClose[io + 6]) { vPrev = vClose; } } if (!vPrev) { vPrev = v; var prev = path.getLastCurve(); while (prev && prev !== curve) { var v2 = prev.getValues(); if (v2[io] !== v2[io + 6]) { vPrev = v2; break; } prev = prev.getPrevious(); } } } if (res = handleCurve(v)) return res; if (i + 1 === l || curves[i + 1]._path !== path) { if (vClose && (res = handleCurve(vClose))) return res; if (onPath && !pathWindingL && !pathWindingR) { pathWindingL = pathWindingR = path.isClockwise(closed) ^ dir ? 1 : -1; } windingL += pathWindingL; windingR += pathWindingR; pathWindingL = pathWindingR = 0; if (onPath) { onAnyPath = true; onPath = false; } vClose = null; } } windingL = abs(windingL); windingR = abs(windingR); return { winding: max(windingL, windingR), windingL: windingL, windingR: windingR, quality: quality, onPath: onAnyPath }; } function propagateWinding(segment, path1, path2, curves, operator) { var chain = [], start = segment, totalLength = 0, winding; do { var curve = segment.getCurve(), length = curve.getLength(); chain.push({ segment: segment, curve: curve, length: length }); totalLength += length; segment = segment.getNext(); } while (segment && !segment._intersection && segment !== start); var offsets = [0.5, 0.25, 0.75], winding = { winding: 0, quality: -1 }, tMin = 1e-8, tMax = 1 - tMin; for (var i = 0; i < offsets.length && winding.quality < 0.5; i++) { var length = totalLength * offsets[i]; for (var j = 0, l = chain.length; j < l; j++) { var entry = chain[j], curveLength = entry.length; if (length <= curveLength) { var curve = entry.curve, path = curve._path, parent = path._parent, operand = parent instanceof CompoundPath ? parent : path, t = Numerical.clamp(curve.getTimeAt(length), tMin, tMax), pt = curve.getPointAtTime(t), dir = abs(curve.getTangentAtTime(t).y) < Math.SQRT1_2; var wind = null; if (operator.subtract && path2) { var pathWinding = operand === path1 ? path2._getWinding(pt, dir, true) : path1._getWinding(pt, dir, true); if (operand === path1 && pathWinding.winding || operand === path2 && !pathWinding.winding) { if (pathWinding.quality < 1) { continue; } else { wind = { winding: 0, quality: 1 }; } } } wind = wind || getWinding(pt, curves, dir, true); if (wind.quality > winding.quality) winding = wind; break; } length -= curveLength; } } for (var j = chain.length - 1; j >= 0; j--) { chain[j].segment._winding = winding; } } function tracePaths(segments, operator) { var paths = [], starts; function isValid(seg) { var winding; return !!(seg && !seg._visited && (!operator || operator[(winding = seg._winding || {}).winding] && !(operator.unite && winding.winding === 2 && winding.windingL && winding.windingR))); } function isStart(seg) { if (seg) { for (var i = 0, l = starts.length; i < l; i++) { if (seg === starts[i]) return true; } } return false; } function visitPath(path) { var segments = path._segments; for (var i = 0, l = segments.length; i < l; i++) { segments[i]._visited = true; } } function getCrossingSegments(segment, collectStarts) { var inter = segment._intersection, start = inter, crossings = []; if (collectStarts) starts = [segment]; function collect(inter, end) { while (inter && inter !== end) { var other = inter._segment, path = other && other._path; if (path) { var next = other.getNext() || path.getFirstSegment(), nextInter = next._intersection; if (other !== segment && (isStart(other) || isStart(next) || next && (isValid(other) && (isValid(next) || nextInter && isValid(nextInter._segment)))) ) { crossings.push(other); } if (collectStarts) starts.push(other); } inter = inter._next; } } if (inter) { collect(inter); while (inter && inter._prev) inter = inter._prev; collect(inter, start); } return crossings; } segments.sort(function(seg1, seg2) { var inter1 = seg1._intersection, inter2 = seg2._intersection, over1 = !!(inter1 && inter1._overlap), over2 = !!(inter2 && inter2._overlap), path1 = seg1._path, path2 = seg2._path; return over1 ^ over2 ? over1 ? 1 : -1 : !inter1 ^ !inter2 ? inter1 ? 1 : -1 : path1 !== path2 ? path1._id - path2._id : seg1._index - seg2._index; }); for (var i = 0, l = segments.length; i < l; i++) { var seg = segments[i], valid = isValid(seg), path = null, finished = false, closed = true, branches = [], branch, visited, handleIn; if (valid && seg._path._overlapsOnly) { var path1 = seg._path, path2 = seg._intersection._segment._path; if (path1.compare(path2)) { if (path1.getArea()) paths.push(path1.clone(false)); visitPath(path1); visitPath(path2); valid = false; } } while (valid) { var first = !path, crossings = getCrossingSegments(seg, first), other = crossings.shift(), finished = !first && (isStart(seg) || isStart(other)), cross = !finished && other; if (first) { path = new Path(Item.NO_INSERT); branch = null; } if (finished) { if (seg.isFirst() || seg.isLast()) closed = seg._path._closed; seg._visited = true; break; } if (cross && branch) { branches.push(branch); branch = null; } if (!branch) { if (cross) crossings.push(seg); branch = { start: path._segments.length, crossings: crossings, visited: visited = [], handleIn: handleIn }; } if (cross) seg = other; if (!isValid(seg)) { path.removeSegments(branch.start); for (var j = 0, k = visited.length; j < k; j++) { visited[j]._visited = false; } visited.length = 0; do { seg = branch && branch.crossings.shift(); if (!seg || !seg._path) { seg = null; branch = branches.pop(); if (branch) { visited = branch.visited; handleIn = branch.handleIn; } } } while (branch && !isValid(seg)); if (!seg) break; } var next = seg.getNext(); path.add(new Segment(seg._point, handleIn, next && seg._handleOut)); seg._visited = true; visited.push(seg); seg = next || seg._path.getFirstSegment(); handleIn = next && next._handleIn; } if (finished) { if (closed) { path.getFirstSegment().setHandleIn(handleIn); path.setClosed(closed); } if (path.getArea() !== 0) { paths.push(path); } } } return paths; } return { _getWinding: function(point, dir, closed) { return getWinding(point, this.getCurves(), dir, closed); }, unite: function(path, options) { return traceBoolean(this, path, 'unite', options); }, intersect: function(path, options) { return traceBoolean(this, path, 'intersect', options); }, subtract: function(path, options) { return traceBoolean(this, path, 'subtract', options); }, exclude: function(path, options) { return traceBoolean(this, path, 'exclude', options); }, divide: function(path, options) { return options && (options.trace == false || options.stroke) ? splitBoolean(this, path, 'divide') : createResult([ this.subtract(path, options), this.intersect(path, options) ], true, this, path, options); }, resolveCrossings: function() { var children = this._children, paths = children || [this]; function hasOverlap(seg, path) { var inter = seg && seg._intersection; return inter && inter._overlap && inter._path === path; } var hasOverlaps = false, hasCrossings = false, intersections = this.getIntersections(null, function(inter) { return inter.hasOverlap() && (hasOverlaps = true) || inter.isCrossing() && (hasCrossings = true); }), clearCurves = hasOverlaps && hasCrossings && []; intersections = CurveLocation.expand(intersections); if (hasOverlaps) { var overlaps = divideLocations(intersections, function(inter) { return inter.hasOverlap(); }, clearCurves); for (var i = overlaps.length - 1; i >= 0; i--) { var overlap = overlaps[i], path = overlap._path, seg = overlap._segment, prev = seg.getPrevious(), next = seg.getNext(); if (hasOverlap(prev, path) && hasOverlap(next, path)) { seg.remove(); prev._handleOut._set(0, 0); next._handleIn._set(0, 0); if (prev !== seg && !prev.getCurve().hasLength()) { next._handleIn.set(prev._handleIn); prev.remove(); } } } } if (hasCrossings) { divideLocations(intersections, hasOverlaps && function(inter) { var curve1 = inter.getCurve(), seg1 = inter.getSegment(), other = inter._intersection, curve2 = other._curve, seg2 = other._segment; if (curve1 && curve2 && curve1._path && curve2._path) return true; if (seg1) seg1._intersection = null; if (seg2) seg2._intersection = null; }, clearCurves); if (clearCurves) clearCurveHandles(clearCurves); paths = tracePaths(Base.each(paths, function(path) { Base.push(this, path._segments); }, [])); } var length = paths.length, item; if (length > 1 && children) { if (paths !== children) this.setChildren(paths); item = this; } else if (length === 1 && !children) { if (paths[0] !== this) this.setSegments(paths[0].removeSegments()); item = this; } if (!item) { item = new CompoundPath(Item.NO_INSERT); item.addChildren(paths); item = item.reduce(); item.copyAttributes(this); this.replaceWith(item); } return item; }, reorient: function(nonZero, clockwise) { var children = this._children; if (children && children.length) { this.setChildren(reorientPaths(this.removeChildren(), function(w) { return !!(nonZero ? w : w & 1); }, clockwise)); } else if (clockwise !== undefined) { this.setClockwise(clockwise); } return this; }, getInteriorPoint: function() { var bounds = this.getBounds(), point = bounds.getCenter(true); if (!this.contains(point)) { var curves = this.getCurves(), y = point.y, intercepts = [], roots = []; for (var i = 0, l = curves.length; i < l; i++) { var v = curves[i].getValues(), o0 = v[1], o1 = v[3], o2 = v[5], o3 = v[7]; if (y >= min(o0, o1, o2, o3) && y <= max(o0, o1, o2, o3)) { var monoCurves = Curve.getMonoCurves(v); for (var j = 0, m = monoCurves.length; j < m; j++) { var mv = monoCurves[j], mo0 = mv[1], mo3 = mv[7]; if ((mo0 !== mo3) && (y >= mo0 && y <= mo3 || y >= mo3 && y <= mo0)){ var x = y === mo0 ? mv[0] : y === mo3 ? mv[6] : Curve.solveCubic(mv, 1, y, roots, 0, 1) === 1 ? Curve.getPoint(mv, roots[0]).x : (mv[0] + mv[6]) / 2; intercepts.push(x); } } } } if (intercepts.length > 1) { intercepts.sort(function(a, b) { return a - b; }); point.x = (intercepts[0] + intercepts[1]) / 2; } } return point; } }; }); var PathFlattener = Base.extend({ _class: 'PathFlattener', initialize: function(path, flatness, maxRecursion, ignoreStraight, matrix) { var curves = [], parts = [], length = 0, minSpan = 1 / (maxRecursion || 32), segments = path._segments, segment1 = segments[0], segment2; function addCurve(segment1, segment2) { var curve = Curve.getValues(segment1, segment2, matrix); curves.push(curve); computeParts(curve, segment1._index, 0, 1); } function computeParts(curve, index, t1, t2) { if ((t2 - t1) > minSpan && !(ignoreStraight && Curve.isStraight(curve)) && !Curve.isFlatEnough(curve, flatness || 0.25)) { var halves = Curve.subdivide(curve, 0.5), tMid = (t1 + t2) / 2; computeParts(halves[0], index, t1, tMid); computeParts(halves[1], index, tMid, t2); } else { var dx = curve[6] - curve[0], dy = curve[7] - curve[1], dist = Math.sqrt(dx * dx + dy * dy); if (dist > 0) { length += dist; parts.push({ offset: length, curve: curve, index: index, time: t2, }); } } } for (var i = 1, l = segments.length; i < l; i++) { segment2 = segments[i]; addCurve(segment1, segment2); segment1 = segment2; } if (path._closed) addCurve(segment2 || segment1, segments[0]); this.curves = curves; this.parts = parts; this.length = length; this.index = 0; }, _get: function(offset) { var parts = this.parts, length = parts.length, start, i, j = this.index; for (;;) { i = j; if (!j || parts[--j].offset < offset) break; } for (; i < length; i++) { var part = parts[i]; if (part.offset >= offset) { this.index = i; var prev = parts[i - 1], prevTime = prev && prev.index === part.index ? prev.time : 0, prevOffset = prev ? prev.offset : 0; return { index: part.index, time: prevTime + (part.time - prevTime) * (offset - prevOffset) / (part.offset - prevOffset) }; } } return { index: parts[length - 1].index, time: 1 }; }, drawPart: function(ctx, from, to) { var start = this._get(from), end = this._get(to); for (var i = start.index, l = end.index; i <= l; i++) { var curve = Curve.getPart(this.curves[i], i === start.index ? start.time : 0, i === end.index ? end.time : 1); if (i === start.index) ctx.moveTo(curve[0], curve[1]); ctx.bezierCurveTo.apply(ctx, curve.slice(2)); } } }, Base.each(Curve._evaluateMethods, function(name) { this[name + 'At'] = function(offset) { var param = this._get(offset); return Curve[name](this.curves[param.index], param.time); }; }, {}) ); var PathFitter = Base.extend({ initialize: function(path) { var points = this.points = [], segments = path._segments, closed = path._closed; for (var i = 0, prev, l = segments.length; i < l; i++) { var point = segments[i].point; if (!prev || !prev.equals(point)) { points.push(prev = point.clone()); } } if (closed) { points.unshift(points[points.length - 1]); points.push(points[1]); } this.closed = closed; }, fit: function(error) { var points = this.points, length = points.length, segments = null; if (length > 0) { segments = [new Segment(points[0])]; if (length > 1) { this.fitCubic(segments, error, 0, length - 1, points[1].subtract(points[0]), points[length - 2].subtract(points[length - 1])); if (this.closed) { segments.shift(); segments.pop(); } } } return segments; }, fitCubic: function(segments, error, first, last, tan1, tan2) { var points = this.points; if (last - first === 1) { var pt1 = points[first], pt2 = points[last], dist = pt1.getDistance(pt2) / 3; this.addCurve(segments, [pt1, pt1.add(tan1.normalize(dist)), pt2.add(tan2.normalize(dist)), pt2]); return; } var uPrime = this.chordLengthParameterize(first, last), maxError = Math.max(error, error * error), split, parametersInOrder = true; for (var i = 0; i <= 4; i++) { var curve = this.generateBezier(first, last, uPrime, tan1, tan2); var max = this.findMaxError(first, last, curve, uPrime); if (max.error < error && parametersInOrder) { this.addCurve(segments, curve); return; } split = max.index; if (max.error >= maxError) break; parametersInOrder = this.reparameterize(first, last, uPrime, curve); maxError = max.error; } var tanCenter = points[split - 1].subtract(points[split + 1]); this.fitCubic(segments, error, first, split, tan1, tanCenter); this.fitCubic(segments, error, split, last, tanCenter.negate(), tan2); }, addCurve: function(segments, curve) { var prev = segments[segments.length - 1]; prev.setHandleOut(curve[1].subtract(curve[0])); segments.push(new Segment(curve[3], curve[2].subtract(curve[3]))); }, generateBezier: function(first, last, uPrime, tan1, tan2) { var epsilon = 1e-12, abs = Math.abs, points = this.points, pt1 = points[first], pt2 = points[last], C = [[0, 0], [0, 0]], X = [0, 0]; for (var i = 0, l = last - first + 1; i < l; i++) { var u = uPrime[i], t = 1 - u, b = 3 * u * t, b0 = t * t * t, b1 = b * t, b2 = b * u, b3 = u * u * u, a1 = tan1.normalize(b1), a2 = tan2.normalize(b2), tmp = points[first + i] .subtract(pt1.multiply(b0 + b1)) .subtract(pt2.multiply(b2 + b3)); C[0][0] += a1.dot(a1); C[0][1] += a1.dot(a2); C[1][0] = C[0][1]; C[1][1] += a2.dot(a2); X[0] += a1.dot(tmp); X[1] += a2.dot(tmp); } var detC0C1 = C[0][0] * C[1][1] - C[1][0] * C[0][1], alpha1, alpha2; if (abs(detC0C1) > epsilon) { var detC0X = C[0][0] * X[1] - C[1][0] * X[0], detXC1 = X[0] * C[1][1] - X[1] * C[0][1]; alpha1 = detXC1 / detC0C1; alpha2 = detC0X / detC0C1; } else { var c0 = C[0][0] + C[0][1], c1 = C[1][0] + C[1][1]; alpha1 = alpha2 = abs(c0) > epsilon ? X[0] / c0 : abs(c1) > epsilon ? X[1] / c1 : 0; } var segLength = pt2.getDistance(pt1), eps = epsilon * segLength, handle1, handle2; if (alpha1 < eps || alpha2 < eps) { alpha1 = alpha2 = segLength / 3; } else { var line = pt2.subtract(pt1); handle1 = tan1.normalize(alpha1); handle2 = tan2.normalize(alpha2); if (handle1.dot(line) - handle2.dot(line) > segLength * segLength) { alpha1 = alpha2 = segLength / 3; handle1 = handle2 = null; } } return [pt1, pt1.add(handle1 || tan1.normalize(alpha1)), pt2.add(handle2 || tan2.normalize(alpha2)), pt2]; }, reparameterize: function(first, last, u, curve) { for (var i = first; i <= last; i++) { u[i - first] = this.findRoot(curve, this.points[i], u[i - first]); } for (var i = 1, l = u.length; i < l; i++) { if (u[i] <= u[i - 1]) return false; } return true; }, findRoot: function(curve, point, u) { var curve1 = [], curve2 = []; for (var i = 0; i <= 2; i++) { curve1[i] = curve[i + 1].subtract(curve[i]).multiply(3); } for (var i = 0; i <= 1; i++) { curve2[i] = curve1[i + 1].subtract(curve1[i]).multiply(2); } var pt = this.evaluate(3, curve, u), pt1 = this.evaluate(2, curve1, u), pt2 = this.evaluate(1, curve2, u), diff = pt.subtract(point), df = pt1.dot(pt1) + diff.dot(pt2); return Numerical.isZero(df) ? u : u - diff.dot(pt1) / df; }, evaluate: function(degree, curve, t) { var tmp = curve.slice(); for (var i = 1; i <= degree; i++) { for (var j = 0; j <= degree - i; j++) { tmp[j] = tmp[j].multiply(1 - t).add(tmp[j + 1].multiply(t)); } } return tmp[0]; }, chordLengthParameterize: function(first, last) { var u = [0]; for (var i = first + 1; i <= last; i++) { u[i - first] = u[i - first - 1] + this.points[i].getDistance(this.points[i - 1]); } for (var i = 1, m = last - first; i <= m; i++) { u[i] /= u[m]; } return u; }, findMaxError: function(first, last, curve, u) { var index = Math.floor((last - first + 1) / 2), maxDist = 0; for (var i = first + 1; i < last; i++) { var P = this.evaluate(3, curve, u[i - first]); var v = P.subtract(this.points[i]); var dist = v.x * v.x + v.y * v.y; if (dist >= maxDist) { maxDist = dist; index = i; } } return { error: maxDist, index: index }; } }); var TextItem = Item.extend({ _class: 'TextItem', _applyMatrix: false, _canApplyMatrix: false, _serializeFields: { content: null }, _boundsOptions: { stroke: false, handle: false }, initialize: function TextItem(arg) { this._content = ''; this._lines = []; var hasProps = arg && Base.isPlainObject(arg) && arg.x === undefined && arg.y === undefined; this._initialize(hasProps && arg, !hasProps && Point.read(arguments)); }, _equals: function(item) { return this._content === item._content; }, copyContent: function(source) { this.setContent(source._content); }, getContent: function() { return this._content; }, setContent: function(content) { this._content = '' + content; this._lines = this._content.split(/\r\n|\n|\r/mg); this._changed(521); }, isEmpty: function() { return !this._content; }, getCharacterStyle: '#getStyle', setCharacterStyle: '#setStyle', getParagraphStyle: '#getStyle', setParagraphStyle: '#setStyle' }); var PointText = TextItem.extend({ _class: 'PointText', initialize: function PointText() { TextItem.apply(this, arguments); }, getPoint: function() { var point = this._matrix.getTranslation(); return new LinkedPoint(point.x, point.y, this, 'setPoint'); }, setPoint: function() { var point = Point.read(arguments); this.translate(point.subtract(this._matrix.getTranslation())); }, _draw: function(ctx, param, viewMatrix) { if (!this._content) return; this._setStyles(ctx, param, viewMatrix); var lines = this._lines, style = this._style, hasFill = style.hasFill(), hasStroke = style.hasStroke(), leading = style.getLeading(), shadowColor = ctx.shadowColor; ctx.font = style.getFontStyle(); ctx.textAlign = style.getJustification(); for (var i = 0, l = lines.length; i < l; i++) { ctx.shadowColor = shadowColor; var line = lines[i]; if (hasFill) { ctx.fillText(line, 0, 0); ctx.shadowColor = 'rgba(0,0,0,0)'; } if (hasStroke) ctx.strokeText(line, 0, 0); ctx.translate(0, leading); } }, _getBounds: function(matrix, options) { var rect = options.drawnTextBounds ? this._getDrawnTextSize() : this._getMeasuredTextSize(); return matrix ? matrix._transformBounds(rect, rect) : rect; }, _getMeasuredTextSize: function() { var style = this._style, lines = this._lines, numLines = lines.length, justification = style.getJustification(), leading = style.getLeading(), width = this.getView().getTextWidth(style.getFontStyle(), lines), x = 0; if (justification !== 'left') x -= width / (justification === 'center' ? 2: 1); return new Rectangle(x, numLines ? - 0.75 * leading : 0, width, numLines * leading); }, _getDrawnTextSize: function() { var style = this._style; var lines = this._lines; var numLines = lines.length; var leading = style.getLeading(); var justification = style.getJustification(); var svg = SvgElement.create('svg', { version: '1.1', xmlns: SvgElement.svg }); var node = SvgElement.create('text'); node.setAttributeNS('http://www.w3.org/XML/1998/namespace', 'xml:space', 'preserve'); svg.appendChild(node); for (var i = 0; i < numLines; i++) { var tspanNode = SvgElement.create('tspan', { x: '0', dy: i === 0 ? '0' : leading + 'px' }); tspanNode.textContent = this._lines[i]; node.appendChild(tspanNode); } var element = document.createElement('span'); element.style.visibility = ('hidden'); element.style.whiteSpace = 'pre'; element.style.fontSize = this.fontSize + 'px'; element.style.fontFamily = this.font; element.style.lineHeight = this.leading / this.fontSize; var bbox; try { element.appendChild(svg); document.body.appendChild(element); bbox = svg.getBBox(); } finally { document.body.removeChild(element); } var halfStrokeWidth = this.strokeWidth / 2; var width = bbox.width + (halfStrokeWidth * 2); var height = bbox.height + (halfStrokeWidth * 2); var x = bbox.x - halfStrokeWidth; var y = bbox.y - halfStrokeWidth; if (justification !== 'left') { var eltWidth = this.getView().getTextWidth(style.getFontStyle(), lines); x -= eltWidth / (justification === 'center' ? 2: 1); } return new Rectangle(x, y, width + 1, Math.max(height, numLines * leading)); }, _hitTestSelf: function(point, options) { if (options.fill && (this.hasFill() || options.hitUnfilledPaths) && this._contains(point)) return new HitResult('fill', this); } }); var Color = Base.extend(new function() { var types = { gray: ['gray'], rgb: ['red', 'green', 'blue'], hsb: ['hue', 'saturation', 'brightness'], hsl: ['hue', 'saturation', 'lightness'], gradient: ['gradient', 'origin', 'destination', 'highlight'] }; var componentParsers = {}, namedColors = { transparent: [0, 0, 0, 0] }, colorCtx; function fromCSS(string) { var match = string.match( /^#([\da-f]{2})([\da-f]{2})([\da-f]{2})([\da-f]{2})?$/i ) || string.match( /^#([\da-f])([\da-f])([\da-f])([\da-f])?$/i ), type = 'rgb', components; if (match) { var amount = match[4] ? 4 : 3; components = new Array(amount); for (var i = 0; i < amount; i++) { var value = match[i + 1]; components[i] = parseInt(value.length == 1 ? value + value : value, 16) / 255; } } else if (match = string.match(/^(rgb|hsl)a?\((.*)\)$/)) { type = match[1]; components = match[2].split(/[,\s]+/g); var isHSL = type === 'hsl'; for (var i = 0, l = Math.min(components.length, 4); i < l; i++) { var component = components[i]; var value = parseFloat(component); if (isHSL) { if (i === 0) { var unit = component.match(/([a-z]*)$/)[1]; value *= ({ turn: 360, rad: 180 / Math.PI, grad: 0.9 }[unit] || 1); } else if (i < 3) { value /= 100; } } else if (i < 3) { value /= 255; } components[i] = value; } } else { var color = namedColors[string]; if (!color) { if (window) { if (!colorCtx) { colorCtx = CanvasProvider.getContext(1, 1); colorCtx.globalCompositeOperation = 'copy'; } colorCtx.fillStyle = 'rgba(0,0,0,0)'; colorCtx.fillStyle = string; colorCtx.fillRect(0, 0, 1, 1); var data = colorCtx.getImageData(0, 0, 1, 1).data; color = namedColors[string] = [ data[0] / 255, data[1] / 255, data[2] / 255 ]; } else { color = [0, 0, 0]; } } components = color.slice(); } return [type, components]; } var hsbIndices = [ [0, 3, 1], [2, 0, 1], [1, 0, 3], [1, 2, 0], [3, 1, 0], [0, 1, 2] ]; var converters = { 'rgb-hsb': function(r, g, b) { var max = Math.max(r, g, b), min = Math.min(r, g, b), delta = max - min, h = delta === 0 ? 0 : ( max == r ? (g - b) / delta + (g < b ? 6 : 0) : max == g ? (b - r) / delta + 2 : (r - g) / delta + 4) * 60; return [h, max === 0 ? 0 : delta / max, max]; }, 'hsb-rgb': function(h, s, b) { h = (((h / 60) % 6) + 6) % 6; var i = Math.floor(h), f = h - i, i = hsbIndices[i], v = [ b, b * (1 - s), b * (1 - s * f), b * (1 - s * (1 - f)) ]; return [v[i[0]], v[i[1]], v[i[2]]]; }, 'rgb-hsl': function(r, g, b) { var max = Math.max(r, g, b), min = Math.min(r, g, b), delta = max - min, achromatic = delta === 0, h = achromatic ? 0 : ( max == r ? (g - b) / delta + (g < b ? 6 : 0) : max == g ? (b - r) / delta + 2 : (r - g) / delta + 4) * 60, l = (max + min) / 2, s = achromatic ? 0 : l < 0.5 ? delta / (max + min) : delta / (2 - max - min); return [h, s, l]; }, 'hsl-rgb': function(h, s, l) { h = (((h / 360) % 1) + 1) % 1; if (s === 0) return [l, l, l]; var t3s = [ h + 1 / 3, h, h - 1 / 3 ], t2 = l < 0.5 ? l * (1 + s) : l + s - l * s, t1 = 2 * l - t2, c = []; for (var i = 0; i < 3; i++) { var t3 = t3s[i]; if (t3 < 0) t3 += 1; if (t3 > 1) t3 -= 1; c[i] = 6 * t3 < 1 ? t1 + (t2 - t1) * 6 * t3 : 2 * t3 < 1 ? t2 : 3 * t3 < 2 ? t1 + (t2 - t1) * ((2 / 3) - t3) * 6 : t1; } return c; }, 'rgb-gray': function(r, g, b) { return [r * 0.2989 + g * 0.587 + b * 0.114]; }, 'gray-rgb': function(g) { return [g, g, g]; }, 'gray-hsb': function(g) { return [0, 0, g]; }, 'gray-hsl': function(g) { return [0, 0, g]; }, 'gradient-rgb': function() { return []; }, 'rgb-gradient': function() { return []; } }; return Base.each(types, function(properties, type) { componentParsers[type] = []; Base.each(properties, function(name, index) { var part = Base.capitalize(name), hasOverlap = /^(hue|saturation)$/.test(name), parser = componentParsers[type][index] = type === 'gradient' ? name === 'gradient' ? function(value) { var current = this._components[0]; value = Gradient.read( Array.isArray(value) ? value : arguments, 0, { readNull: true } ); if (current !== value) { if (current) current._removeOwner(this); if (value) value._addOwner(this); } return value; } : function() { return Point.read(arguments, 0, { readNull: name === 'highlight', clone: true }); } : function(value) { return value == null || isNaN(value) ? 0 : +value; }; this['get' + part] = function() { return this._type === type || hasOverlap && /^hs[bl]$/.test(this._type) ? this._components[index] : this._convert(type)[index]; }; this['set' + part] = function(value) { if (this._type !== type && !(hasOverlap && /^hs[bl]$/.test(this._type))) { this._components = this._convert(type); this._properties = types[type]; this._type = type; } this._components[index] = parser.call(this, value); this._changed(); }; }, this); }, { _class: 'Color', _readIndex: true, initialize: function Color(arg) { var args = arguments, reading = this.__read, read = 0, type, components, alpha, values; if (Array.isArray(arg)) { args = arg; arg = args[0]; } var argType = arg != null && typeof arg; if (argType === 'string' && arg in types) { type = arg; arg = args[1]; if (Array.isArray(arg)) { components = arg; alpha = args[2]; } else { if (reading) read = 1; args = Base.slice(args, 1); argType = typeof arg; } } if (!components) { values = argType === 'number' ? args : argType === 'object' && arg.length != null ? arg : null; if (values) { if (!type) type = values.length >= 3 ? 'rgb' : 'gray'; var length = types[type].length; alpha = values[length]; if (reading) { read += values === arguments ? length + (alpha != null ? 1 : 0) : 1; } if (values.length > length) values = Base.slice(values, 0, length); } else if (argType === 'string') { var converted = fromCSS(arg); type = converted[0]; components = converted[1]; if (components.length === 4) { alpha = components[3]; components.length--; } } else if (argType === 'object') { if (arg.constructor === Color) { type = arg._type; components = arg._components.slice(); alpha = arg._alpha; if (type === 'gradient') { for (var i = 1, l = components.length; i < l; i++) { var point = components[i]; if (point) components[i] = point.clone(); } } } else if (arg.constructor === Gradient) { type = 'gradient'; values = args; } else { type = 'hue' in arg ? 'lightness' in arg ? 'hsl' : 'hsb' : 'gradient' in arg || 'stops' in arg || 'radial' in arg ? 'gradient' : 'gray' in arg ? 'gray' : 'rgb'; var properties = types[type], parsers = componentParsers[type]; this._components = components = []; for (var i = 0, l = properties.length; i < l; i++) { var value = arg[properties[i]]; if (value == null && !i && type === 'gradient' && 'stops' in arg) { value = { stops: arg.stops, radial: arg.radial }; } value = parsers[i].call(this, value); if (value != null) components[i] = value; } alpha = arg.alpha; } } if (reading && type) read = 1; } this._type = type || 'rgb'; if (!components) { this._components = components = []; var parsers = componentParsers[this._type]; for (var i = 0, l = parsers.length; i < l; i++) { var value = parsers[i].call(this, values && values[i]); if (value != null) components[i] = value; } } this._components = components; this._properties = types[this._type]; this._alpha = alpha; if (reading) this.__read = read; return this; }, set: '#initialize', _serialize: function(options, dictionary) { var components = this.getComponents(); return Base.serialize( /^(gray|rgb)$/.test(this._type) ? components : [this._type].concat(components), options, true, dictionary); }, _changed: function() { this._canvasStyle = null; if (this._owner) this._owner._changed(129); }, _convert: function(type) { var converter; return this._type === type ? this._components.slice() : (converter = converters[this._type + '-' + type]) ? converter.apply(this, this._components) : converters['rgb-' + type].apply(this, converters[this._type + '-rgb'].apply(this, this._components)); }, convert: function(type) { return new Color(type, this._convert(type), this._alpha); }, getType: function() { return this._type; }, setType: function(type) { this._components = this._convert(type); this._properties = types[type]; this._type = type; }, getComponents: function() { var components = this._components.slice(); if (this._alpha != null) components.push(this._alpha); return components; }, getAlpha: function() { return this._alpha != null ? this._alpha : 1; }, setAlpha: function(alpha) { this._alpha = alpha == null ? null : Math.min(Math.max(alpha, 0), 1); this._changed(); }, hasAlpha: function() { return this._alpha != null; }, equals: function(color) { var col = Base.isPlainValue(color, true) ? Color.read(arguments) : color; return col === this || col && this._class === col._class && this._type === col._type && this.getAlpha() === col.getAlpha() && Base.equals(this._components, col._components) || false; }, toString: function() { var properties = this._properties, parts = [], isGradient = this._type === 'gradient', f = Formatter.instance; for (var i = 0, l = properties.length; i < l; i++) { var value = this._components[i]; if (value != null) parts.push(properties[i] + ': ' + (isGradient ? value : f.number(value))); } if (this._alpha != null) parts.push('alpha: ' + f.number(this._alpha)); return '{ ' + parts.join(', ') + ' }'; }, toCSS: function(hex) { var components = this._convert('rgb'), alpha = hex || this._alpha == null ? 1 : this._alpha; function convert(val) { return Math.round((val < 0 ? 0 : val > 1 ? 1 : val) * 255); } components = [ convert(components[0]), convert(components[1]), convert(components[2]) ]; if (alpha < 1) components.push(alpha < 0 ? 0 : alpha); return hex ? '#' + ((1 << 24) + (components[0] << 16) + (components[1] << 8) + components[2]).toString(16).slice(1) : (components.length == 4 ? 'rgba(' : 'rgb(') + components.join(',') + ')'; }, toCanvasStyle: function(ctx, matrix) { if (this._canvasStyle) return this._canvasStyle; if (this._type !== 'gradient') return this._canvasStyle = this.toCSS(); var components = this._components, gradient = components[0], stops = gradient._stops, origin = components[1], destination = components[2], highlight = components[3], inverse = matrix && matrix.inverted(), canvasGradient; if (inverse) { origin = inverse._transformPoint(origin); destination = inverse._transformPoint(destination); if (highlight) highlight = inverse._transformPoint(highlight); } if (gradient._radial) { var radius = destination.getDistance(origin); if (highlight) { var vector = highlight.subtract(origin); if (vector.getLength() > radius) highlight = origin.add(vector.normalize(radius - 0.1)); } var start = highlight || origin; canvasGradient = ctx.createRadialGradient(start.x, start.y, 0, origin.x, origin.y, radius); } else { canvasGradient = ctx.createLinearGradient(origin.x, origin.y, destination.x, destination.y); } for (var i = 0, l = stops.length; i < l; i++) { var stop = stops[i], offset = stop._offset; canvasGradient.addColorStop( offset == null ? i / (l - 1) : offset, stop._color.toCanvasStyle()); } return this._canvasStyle = canvasGradient; }, transform: function(matrix) { if (this._type === 'gradient') { var components = this._components; for (var i = 1, l = components.length; i < l; i++) { var point = components[i]; matrix._transformPoint(point, point, true); } this._changed(); } }, statics: { _types: types, random: function() { var random = Math.random; return new Color(random(), random(), random()); } } }); }, new function() { var operators = { add: function(a, b) { return a + b; }, subtract: function(a, b) { return a - b; }, multiply: function(a, b) { return a * b; }, divide: function(a, b) { return a / b; } }; return Base.each(operators, function(operator, name) { this[name] = function(color) { color = Color.read(arguments); var type = this._type, components1 = this._components, components2 = color._convert(type); for (var i = 0, l = components1.length; i < l; i++) components2[i] = operator(components1[i], components2[i]); return new Color(type, components2, this._alpha != null ? operator(this._alpha, color.getAlpha()) : null); }; }, { }); }); var Gradient = Base.extend({ _class: 'Gradient', initialize: function Gradient(stops, radial) { this._id = UID.get(); if (stops && Base.isPlainObject(stops)) { this.set(stops); stops = radial = null; } if (this._stops == null) { this.setStops(stops || ['white', 'black']); } if (this._radial == null) { this.setRadial(typeof radial === 'string' && radial === 'radial' || radial || false); } }, _serialize: function(options, dictionary) { return dictionary.add(this, function() { return Base.serialize([this._stops, this._radial], options, true, dictionary); }); }, _changed: function() { for (var i = 0, l = this._owners && this._owners.length; i < l; i++) { this._owners[i]._changed(); } }, _addOwner: function(color) { if (!this._owners) this._owners = []; this._owners.push(color); }, _removeOwner: function(color) { var index = this._owners ? this._owners.indexOf(color) : -1; if (index != -1) { this._owners.splice(index, 1); if (!this._owners.length) this._owners = undefined; } }, clone: function() { var stops = []; for (var i = 0, l = this._stops.length; i < l; i++) { stops[i] = this._stops[i].clone(); } return new Gradient(stops, this._radial); }, getStops: function() { return this._stops; }, setStops: function(stops) { if (stops.length < 2) { throw new Error( 'Gradient stop list needs to contain at least two stops.'); } var _stops = this._stops; if (_stops) { for (var i = 0, l = _stops.length; i < l; i++) _stops[i]._owner = undefined; } _stops = this._stops = GradientStop.readList(stops, 0, { clone: true }); for (var i = 0, l = _stops.length; i < l; i++) _stops[i]._owner = this; this._changed(); }, getRadial: function() { return this._radial; }, setRadial: function(radial) { this._radial = radial; this._changed(); }, equals: function(gradient) { if (gradient === this) return true; if (gradient && this._class === gradient._class) { var stops1 = this._stops, stops2 = gradient._stops, length = stops1.length; if (length === stops2.length) { for (var i = 0; i < length; i++) { if (!stops1[i].equals(stops2[i])) return false; } return true; } } return false; } }); var GradientStop = Base.extend({ _class: 'GradientStop', initialize: function GradientStop(arg0, arg1) { var color = arg0, offset = arg1; if (typeof arg0 === 'object' && arg1 === undefined) { if (Array.isArray(arg0) && typeof arg0[0] !== 'number') { color = arg0[0]; offset = arg0[1]; } else if ('color' in arg0 || 'offset' in arg0 || 'rampPoint' in arg0) { color = arg0.color; offset = arg0.offset || arg0.rampPoint || 0; } } this.setColor(color); this.setOffset(offset); }, clone: function() { return new GradientStop(this._color.clone(), this._offset); }, _serialize: function(options, dictionary) { var color = this._color, offset = this._offset; return Base.serialize(offset == null ? [color] : [color, offset], options, true, dictionary); }, _changed: function() { if (this._owner) this._owner._changed(129); }, getOffset: function() { return this._offset; }, setOffset: function(offset) { this._offset = offset; this._changed(); }, getRampPoint: '#getOffset', setRampPoint: '#setOffset', getColor: function() { return this._color; }, setColor: function() { var color = Color.read(arguments, 0, { clone: true }); if (color) color._owner = this; this._color = color; this._changed(); }, equals: function(stop) { return stop === this || stop && this._class === stop._class && this._color.equals(stop._color) && this._offset == stop._offset || false; } }); var Style = Base.extend(new function() { var itemDefaults = { fillColor: null, fillRule: 'nonzero', strokeColor: null, strokeWidth: 1, strokeCap: 'butt', strokeJoin: 'miter', strokeScaling: true, miterLimit: 10, dashOffset: 0, dashArray: [], shadowColor: null, shadowBlur: 0, shadowOffset: new Point(), selectedColor: null }, groupDefaults = Base.set({}, itemDefaults, { fontFamily: 'sans-serif', fontWeight: 'normal', fontSize: 12, leading: null, justification: 'left' }), textDefaults = Base.set({}, groupDefaults, { fillColor: new Color() }), flags = { strokeWidth: 193, strokeCap: 193, strokeJoin: 193, strokeScaling: 201, miterLimit: 193, fontFamily: 9, fontWeight: 9, fontSize: 9, font: 9, leading: 9, justification: 9 }, item = { beans: true }, fields = { _class: 'Style', beans: true, initialize: function Style(style, _owner, _project) { this._values = {}; this._owner = _owner; this._project = _owner && _owner._project || _project || paper.project; this._defaults = !_owner || _owner instanceof Group ? groupDefaults : _owner instanceof TextItem ? textDefaults : itemDefaults; if (style) this.set(style); } }; Base.each(groupDefaults, function(value, key) { var isColor = /Color$/.test(key), isPoint = key === 'shadowOffset', part = Base.capitalize(key), flag = flags[key], set = 'set' + part, get = 'get' + part; fields[set] = function(value) { var owner = this._owner, children = owner && owner._children; if (children && children.length > 0 && !(owner instanceof CompoundPath)) { for (var i = 0, l = children.length; i < l; i++) children[i]._style[set](value); } else if (key in this._defaults) { var old = this._values[key]; if (old !== value) { if (isColor) { if (old && old._owner !== undefined) { old._owner = undefined; old._canvasStyle = null; } if (value && value.constructor === Color) { if (value._owner) value = value.clone(); value._owner = owner; } } this._values[key] = value; if (owner) owner._changed(flag || 129); } } }; fields[get] = function(_dontMerge) { var owner = this._owner, children = owner && owner._children, value; if (key in this._defaults && (!children || !children.length || _dontMerge || owner instanceof CompoundPath)) { var value = this._values[key]; if (value === undefined) { value = this._defaults[key]; if (value && value.clone) value = value.clone(); } else { var ctor = isColor ? Color : isPoint ? Point : null; if (ctor && !(value && value.constructor === ctor)) { this._values[key] = value = ctor.read([value], 0, { readNull: true, clone: true }); if (value && isColor) value._owner = owner; } } } else if (children) { for (var i = 0, l = children.length; i < l; i++) { var childValue = children[i]._style[get](); if (!i) { value = childValue; } else if (!Base.equals(value, childValue)) { return undefined; } } } return value; }; item[get] = function(_dontMerge) { return this._style[get](_dontMerge); }; item[set] = function(value) { this._style[set](value); }; }); Base.each({ Font: 'FontFamily', WindingRule: 'FillRule' }, function(value, key) { var get = 'get' + key, set = 'set' + key; fields[get] = item[get] = '#get' + value; fields[set] = item[set] = '#set' + value; }); Item.inject(item); return fields; }, { set: function(style) { var isStyle = style instanceof Style, values = isStyle ? style._values : style; if (values) { for (var key in values) { if (key in this._defaults) { var value = values[key]; this[key] = value && isStyle && value.clone ? value.clone() : value; } } } }, equals: function(style) { function compare(style1, style2, secondary) { var values1 = style1._values, values2 = style2._values, defaults2 = style2._defaults; for (var key in values1) { var value1 = values1[key], value2 = values2[key]; if (!(secondary && key in values2) && !Base.equals(value1, value2 === undefined ? defaults2[key] : value2)) return false; } return true; } return style === this || style && this._class === style._class && compare(this, style) && compare(style, this, true) || false; }, _dispose: function() { var color; color = this.getFillColor(); if (color) color._canvasStyle = null; color = this.getStrokeColor(); if (color) color._canvasStyle = null; color = this.getShadowColor(); if (color) color._canvasStyle = null; }, hasFill: function() { var color = this.getFillColor(); return !!color && color.alpha > 0; }, hasStroke: function() { var color = this.getStrokeColor(); return !!color && color.alpha > 0 && this.getStrokeWidth() > 0; }, hasShadow: function() { var color = this.getShadowColor(); return !!color && color.alpha > 0 && (this.getShadowBlur() > 0 || !this.getShadowOffset().isZero()); }, getView: function() { return this._project._view; }, getFontStyle: function() { var fontSize = this.getFontSize(); return this.getFontWeight() + ' ' + fontSize + (/[a-z]/i.test(fontSize + '') ? ' ' : 'px ') + this.getFontFamily(); }, getFont: '#getFontFamily', setFont: '#setFontFamily', getLeading: function getLeading() { var leading = getLeading.base.call(this), fontSize = this.getFontSize(); if (/pt|em|%|px/.test(fontSize)) fontSize = this.getView().getPixelSize(fontSize); return leading != null ? leading : fontSize * 1.2; } }); var DomElement = new function() { function handlePrefix(el, name, set, value) { var prefixes = ['', 'webkit', 'moz', 'Moz', 'ms', 'o'], suffix = name[0].toUpperCase() + name.substring(1); for (var i = 0; i < 6; i++) { var prefix = prefixes[i], key = prefix ? prefix + suffix : name; if (key in el) { if (set) { el[key] = value; } else { return el[key]; } break; } } } return { getStyles: function(el) { var doc = el && el.nodeType !== 9 ? el.ownerDocument : el, view = doc && doc.defaultView; return view && view.getComputedStyle(el, ''); }, getBounds: function(el, viewport) { var doc = el.ownerDocument, body = doc.body, html = doc.documentElement, rect; try { rect = el.getBoundingClientRect(); } catch (e) { rect = { left: 0, top: 0, width: 0, height: 0 }; } var x = rect.left - (html.clientLeft || body.clientLeft || 0), y = rect.top - (html.clientTop || body.clientTop || 0); if (!viewport) { var view = doc.defaultView; x += view.pageXOffset || html.scrollLeft || body.scrollLeft; y += view.pageYOffset || html.scrollTop || body.scrollTop; } return new Rectangle(x, y, rect.width, rect.height); }, getViewportBounds: function(el) { var doc = el.ownerDocument, view = doc.defaultView, html = doc.documentElement; return new Rectangle(0, 0, view.innerWidth || html.clientWidth, view.innerHeight || html.clientHeight ); }, getOffset: function(el, viewport) { return DomElement.getBounds(el, viewport).getPoint(); }, getSize: function(el) { return DomElement.getBounds(el, true).getSize(); }, isInvisible: function(el) { return DomElement.getSize(el).equals(new Size(0, 0)); }, isInView: function(el) { return !DomElement.isInvisible(el) && DomElement.getViewportBounds(el).intersects( DomElement.getBounds(el, true)); }, isInserted: function(el) { return document.body.contains(el); }, getPrefixed: function(el, name) { return el && handlePrefix(el, name); }, setPrefixed: function(el, name, value) { if (typeof name === 'object') { for (var key in name) handlePrefix(el, key, true, name[key]); } else { handlePrefix(el, name, true, value); } } }; }; var DomEvent = { add: function(el, events) { if (el) { for (var type in events) { var func = events[type], parts = type.split(/[\s,]+/g); for (var i = 0, l = parts.length; i < l; i++) { var name = parts[i]; var options = ( el === document && (name === 'touchstart' || name === 'touchmove') ) ? { passive: false } : false; el.addEventListener(name, func, options); } } } }, remove: function(el, events) { if (el) { for (var type in events) { var func = events[type], parts = type.split(/[\s,]+/g); for (var i = 0, l = parts.length; i < l; i++) el.removeEventListener(parts[i], func, false); } } }, getPoint: function(event) { var pos = event.targetTouches ? event.targetTouches.length ? event.targetTouches[0] : event.changedTouches[0] : event; return new Point( pos.pageX || pos.clientX + document.documentElement.scrollLeft, pos.pageY || pos.clientY + document.documentElement.scrollTop ); }, getTarget: function(event) { return event.target || event.srcElement; }, getRelatedTarget: function(event) { return event.relatedTarget || event.toElement; }, getOffset: function(event, target) { return DomEvent.getPoint(event).subtract(DomElement.getOffset( target || DomEvent.getTarget(event))); } }; DomEvent.requestAnimationFrame = new function() { var nativeRequest = DomElement.getPrefixed(window, 'requestAnimationFrame'), requested = false, callbacks = [], timer; function handleCallbacks() { var functions = callbacks; callbacks = []; for (var i = 0, l = functions.length; i < l; i++) functions[i](); requested = nativeRequest && callbacks.length; if (requested) nativeRequest(handleCallbacks); } return function(callback) { callbacks.push(callback); if (nativeRequest) { if (!requested) { nativeRequest(handleCallbacks); requested = true; } } else if (!timer) { timer = setInterval(handleCallbacks, 1000 / 60); } }; }; var View = Base.extend(Emitter, { _class: 'View', initialize: function View(project, element) { function getSize(name) { return element[name] || parseInt(element.getAttribute(name), 10); } function getCanvasSize() { var size = DomElement.getSize(element); return size.isNaN() || size.isZero() ? new Size(getSize('width'), getSize('height')) : size; } var size; if (window && element) { this._id = element.getAttribute('id'); if (this._id == null) element.setAttribute('id', this._id = 'view-' + View._id++); DomEvent.add(element, this._viewEvents); var none = 'none'; DomElement.setPrefixed(element.style, { userDrag: none, userSelect: none, touchCallout: none, contentZooming: none, tapHighlightColor: 'rgba(0,0,0,0)' }); if (PaperScope.hasAttribute(element, 'resize')) { var that = this; DomEvent.add(window, this._windowEvents = { resize: function() { that.setViewSize(getCanvasSize()); } }); } size = getCanvasSize(); if (PaperScope.hasAttribute(element, 'stats') && typeof Stats !== 'undefined') { this._stats = new Stats(); var stats = this._stats.domElement, style = stats.style, offset = DomElement.getOffset(element); style.position = 'absolute'; style.left = offset.x + 'px'; style.top = offset.y + 'px'; document.body.appendChild(stats); } } else { size = new Size(element); element = null; } this._project = project; this._scope = project._scope; this._element = element; if (!this._pixelRatio) this._pixelRatio = window && window.devicePixelRatio || 1; this._setElementSize(size.width, size.height); this._viewSize = size; View._views.push(this); View._viewsById[this._id] = this; (this._matrix = new Matrix())._owner = this; if (!View._focused) View._focused = this; this._frameItems = {}; this._frameItemCount = 0; this._itemEvents = { native: {}, virtual: {} }; this._autoUpdate = !paper.agent.node; this._needsUpdate = false; }, remove: function() { if (!this._project) return false; if (View._focused === this) View._focused = null; View._views.splice(View._views.indexOf(this), 1); delete View._viewsById[this._id]; var project = this._project; if (project._view === this) project._view = null; DomEvent.remove(this._element, this._viewEvents); DomEvent.remove(window, this._windowEvents); this._element = this._project = null; this.off('frame'); this._animate = false; this._frameItems = {}; return true; }, _events: Base.each( Item._itemHandlers.concat(['onResize', 'onKeyDown', 'onKeyUp']), function(name) { this[name] = {}; }, { onFrame: { install: function() { this.play(); }, uninstall: function() { this.pause(); } } } ), _animate: false, _time: 0, _count: 0, getAutoUpdate: function() { return this._autoUpdate; }, setAutoUpdate: function(autoUpdate) { this._autoUpdate = autoUpdate; if (autoUpdate) this.requestUpdate(); }, update: function() { }, draw: function() { this.update(); }, requestUpdate: function() { if (!this._requested) { var that = this; DomEvent.requestAnimationFrame(function() { that._requested = false; if (that._animate) { that.requestUpdate(); var element = that._element; if ((!DomElement.getPrefixed(document, 'hidden') || PaperScope.getAttribute(element, 'keepalive') === 'true') && DomElement.isInView(element)) { that._handleFrame(); } } if (that._autoUpdate) that.update(); }); this._requested = true; } }, play: function() { this._animate = true; this.requestUpdate(); }, pause: function() { this._animate = false; }, _handleFrame: function() { paper = this._scope; var now = Date.now() / 1000, delta = this._last ? now - this._last : 0; this._last = now; this.emit('frame', new Base({ delta: delta, time: this._time += delta, count: this._count++ })); if (this._stats) this._stats.update(); }, _animateItem: function(item, animate) { var items = this._frameItems; if (animate) { items[item._id] = { item: item, time: 0, count: 0 }; if (++this._frameItemCount === 1) this.on('frame', this._handleFrameItems); } else { delete items[item._id]; if (--this._frameItemCount === 0) { this.off('frame', this._handleFrameItems); } } }, _handleFrameItems: function(event) { for (var i in this._frameItems) { var entry = this._frameItems[i]; entry.item.emit('frame', new Base(event, { time: entry.time += event.delta, count: entry.count++ })); } }, _changed: function() { this._project._changed(4097); this._bounds = this._decomposed = undefined; }, getElement: function() { return this._element; }, getPixelRatio: function() { return this._pixelRatio; }, getResolution: function() { return this._pixelRatio * 72; }, getViewSize: function() { var size = this._viewSize; return new LinkedSize(size.width, size.height, this, 'setViewSize'); }, setViewSize: function() { var size = Size.read(arguments), delta = size.subtract(this._viewSize); if (delta.isZero()) return; this._setElementSize(size.width, size.height); this._viewSize.set(size); this._changed(); this.emit('resize', { size: size, delta: delta }); if (this._autoUpdate) { this.update(); } }, _setElementSize: function(width, height) { var element = this._element; if (element) { if (element.width !== width) element.width = width; if (element.height !== height) element.height = height; } }, getBounds: function() { if (!this._bounds) this._bounds = this._matrix.inverted()._transformBounds( new Rectangle(new Point(), this._viewSize)); return this._bounds; }, getSize: function() { return this.getBounds().getSize(); }, isVisible: function() { return DomElement.isInView(this._element); }, isInserted: function() { return DomElement.isInserted(this._element); }, getPixelSize: function(size) { var element = this._element, pixels; if (element) { var parent = element.parentNode, temp = document.createElement('div'); temp.style.fontSize = size; parent.appendChild(temp); pixels = parseFloat(DomElement.getStyles(temp).fontSize); parent.removeChild(temp); } else { pixels = parseFloat(pixels); } return pixels; }, getTextWidth: function(font, lines) { return 0; } }, Base.each(['rotate', 'scale', 'shear', 'skew'], function(key) { var rotate = key === 'rotate'; this[key] = function() { var value = (rotate ? Base : Point).read(arguments), center = Point.read(arguments, 0, { readNull: true }); return this.transform(new Matrix()[key](value, center || this.getCenter(true))); }; }, { _decompose: function() { return this._decomposed || (this._decomposed = this._matrix.decompose()); }, translate: function() { var mx = new Matrix(); return this.transform(mx.translate.apply(mx, arguments)); }, getCenter: function() { return this.getBounds().getCenter(); }, setCenter: function() { var center = Point.read(arguments); this.translate(this.getCenter().subtract(center)); }, getZoom: function() { var scaling = this._decompose().scaling; return (scaling.x + scaling.y) / 2; }, setZoom: function(zoom) { this.transform(new Matrix().scale(zoom / this.getZoom(), this.getCenter())); }, getRotation: function() { return this._decompose().rotation; }, setRotation: function(rotation) { var current = this.getRotation(); if (current != null && rotation != null) { this.rotate(rotation - current); } }, getScaling: function() { var scaling = this._decompose().scaling; return new LinkedPoint(scaling.x, scaling.y, this, 'setScaling'); }, setScaling: function() { var current = this.getScaling(), scaling = Point.read(arguments, 0, { clone: true, readNull: true }); if (current && scaling) { this.scale(scaling.x / current.x, scaling.y / current.y); } }, getMatrix: function() { return this._matrix; }, setMatrix: function() { var matrix = this._matrix; matrix.initialize.apply(matrix, arguments); }, transform: function(matrix) { this._matrix.append(matrix); }, scrollBy: function() { this.translate(Point.read(arguments).negate()); } }), { projectToView: function() { return this._matrix._transformPoint(Point.read(arguments)); }, viewToProject: function() { return this._matrix._inverseTransform(Point.read(arguments)); }, getEventPoint: function(event) { return this.viewToProject(DomEvent.getOffset(event, this._element)); }, }, { statics: { _views: [], _viewsById: {}, _id: 0, create: function(project, element) { if (document && typeof element === 'string') element = document.getElementById(element); var ctor = window ? CanvasView : View; return new ctor(project, element); } } }, new function() { if (!window) return; var prevFocus, tempFocus, dragging = false, mouseDown = false; function getView(event) { var target = DomEvent.getTarget(event); return target.getAttribute && View._viewsById[ target.getAttribute('id')]; } function updateFocus() { var view = View._focused; if (!view || !view.isVisible()) { for (var i = 0, l = View._views.length; i < l; i++) { if ((view = View._views[i]).isVisible()) { View._focused = tempFocus = view; break; } } } } function handleMouseMove(view, event, point) { view._handleMouseEvent('mousemove', event, point); } var navigator = window.navigator, mousedown, mousemove, mouseup; if (navigator.pointerEnabled || navigator.msPointerEnabled) { mousedown = 'pointerdown MSPointerDown'; mousemove = 'pointermove MSPointerMove'; mouseup = 'pointerup pointercancel MSPointerUp MSPointerCancel'; } else { mousedown = 'touchstart'; mousemove = 'touchmove'; mouseup = 'touchend touchcancel'; if (!('ontouchstart' in window && navigator.userAgent.match( /mobile|tablet|ip(ad|hone|od)|android|silk/i))) { mousedown += ' mousedown'; mousemove += ' mousemove'; mouseup += ' mouseup'; } } var viewEvents = {}, docEvents = { mouseout: function(event) { var view = View._focused, target = DomEvent.getRelatedTarget(event); if (view && (!target || target.nodeName === 'HTML')) { var offset = DomEvent.getOffset(event, view._element), x = offset.x, abs = Math.abs, ax = abs(x), max = 1 << 25, diff = ax - max; offset.x = abs(diff) < ax ? diff * (x < 0 ? -1 : 1) : x; handleMouseMove(view, event, view.viewToProject(offset)); } }, scroll: updateFocus }; viewEvents[mousedown] = function(event) { var view = View._focused = getView(event); if (!dragging) { dragging = true; view._handleMouseEvent('mousedown', event); } }; docEvents[mousemove] = function(event) { var view = View._focused; if (!mouseDown) { var target = getView(event); if (target) { if (view !== target) { if (view) handleMouseMove(view, event); if (!prevFocus) prevFocus = view; view = View._focused = tempFocus = target; } } else if (tempFocus && tempFocus === view) { if (prevFocus && !prevFocus.isInserted()) prevFocus = null; view = View._focused = prevFocus; prevFocus = null; updateFocus(); } } if (view) handleMouseMove(view, event); }; docEvents[mousedown] = function() { mouseDown = true; }; docEvents[mouseup] = function(event) { var view = View._focused; if (view && dragging) view._handleMouseEvent('mouseup', event); mouseDown = dragging = false; }; DomEvent.add(document, docEvents); DomEvent.add(window, { load: updateFocus }); var called = false, prevented = false, fallbacks = { doubleclick: 'click', mousedrag: 'mousemove' }, wasInView = false, overView, downPoint, lastPoint, downItem, overItem, dragItem, clickItem, clickTime, dblClick; function emitMouseEvent(obj, target, type, event, point, prevPoint, stopItem) { var stopped = false, mouseEvent; function emit(obj, type) { if (obj.responds(type)) { if (!mouseEvent) { mouseEvent = new MouseEvent(type, event, point, target || obj, prevPoint ? point.subtract(prevPoint) : null); } if (obj.emit(type, mouseEvent)) { called = true; if (mouseEvent.prevented) prevented = true; if (mouseEvent.stopped) return stopped = true; } } else { var fallback = fallbacks[type]; if (fallback) return emit(obj, fallback); } } while (obj && obj !== stopItem) { if (emit(obj, type)) break; obj = obj._parent; } return stopped; } function emitMouseEvents(view, hitItem, type, event, point, prevPoint) { view._project.removeOn(type); prevented = called = false; return (dragItem && emitMouseEvent(dragItem, null, type, event, point, prevPoint) || hitItem && hitItem !== dragItem && !hitItem.isDescendant(dragItem) && emitMouseEvent(hitItem, null, type === 'mousedrag' ? 'mousemove' : type, event, point, prevPoint, dragItem) || emitMouseEvent(view, dragItem || hitItem || view, type, event, point, prevPoint)); } var itemEventsMap = { mousedown: { mousedown: 1, mousedrag: 1, click: 1, doubleclick: 1 }, mouseup: { mouseup: 1, mousedrag: 1, click: 1, doubleclick: 1 }, mousemove: { mousedrag: 1, mousemove: 1, mouseenter: 1, mouseleave: 1 } }; return { _viewEvents: viewEvents, _handleMouseEvent: function(type, event, point) { var itemEvents = this._itemEvents, hitItems = itemEvents.native[type], nativeMove = type === 'mousemove', tool = this._scope.tool, view = this; function responds(type) { return itemEvents.virtual[type] || view.responds(type) || tool && tool.responds(type); } if (nativeMove && dragging && responds('mousedrag')) type = 'mousedrag'; if (!point) point = this.getEventPoint(event); var inView = this.getBounds().contains(point), hit = hitItems && inView && view._project.hitTest(point, { tolerance: 0, fill: true, stroke: true }), hitItem = hit && hit.item || null, handle = false, mouse = {}; mouse[type.substr(5)] = true; if (hitItems && hitItem !== overItem) { if (overItem) { emitMouseEvent(overItem, null, 'mouseleave', event, point); } if (hitItem) { emitMouseEvent(hitItem, null, 'mouseenter', event, point); } overItem = hitItem; } if (wasInView ^ inView) { emitMouseEvent(this, null, inView ? 'mouseenter' : 'mouseleave', event, point); overView = inView ? this : null; handle = true; } if ((inView || mouse.drag) && !point.equals(lastPoint)) { emitMouseEvents(this, hitItem, nativeMove ? type : 'mousemove', event, point, lastPoint); handle = true; } wasInView = inView; if (mouse.down && inView || mouse.up && downPoint) { emitMouseEvents(this, hitItem, type, event, point, downPoint); if (mouse.down) { dblClick = hitItem === clickItem && (Date.now() - clickTime < 300); downItem = clickItem = hitItem; if (!prevented && hitItem) { var item = hitItem; while (item && !item.responds('mousedrag')) item = item._parent; if (item) dragItem = hitItem; } downPoint = point; } else if (mouse.up) { if (!prevented && hitItem === downItem) { clickTime = Date.now(); emitMouseEvents(this, hitItem, dblClick ? 'doubleclick' : 'click', event, point, downPoint); dblClick = false; } downItem = dragItem = null; } wasInView = false; handle = true; } lastPoint = point; if (handle && tool) { called = tool._handleMouseEvent(type, event, point, mouse) || called; } if ( event.cancelable !== false && (called && !mouse.move || mouse.down && responds('mouseup')) ) { event.preventDefault(); } }, _handleKeyEvent: function(type, event, key, character) { var scope = this._scope, tool = scope.tool, keyEvent; function emit(obj) { if (obj.responds(type)) { paper = scope; obj.emit(type, keyEvent = keyEvent || new KeyEvent(type, event, key, character)); } } if (this.isVisible()) { emit(this); if (tool && tool.responds(type)) emit(tool); } }, _countItemEvent: function(type, sign) { var itemEvents = this._itemEvents, native = itemEvents.native, virtual = itemEvents.virtual; for (var key in itemEventsMap) { native[key] = (native[key] || 0) + (itemEventsMap[key][type] || 0) * sign; } virtual[type] = (virtual[type] || 0) + sign; }, statics: { updateFocus: updateFocus, _resetState: function() { dragging = mouseDown = called = wasInView = false; prevFocus = tempFocus = overView = downPoint = lastPoint = downItem = overItem = dragItem = clickItem = clickTime = dblClick = null; } } }; }); var CanvasView = View.extend({ _class: 'CanvasView', initialize: function CanvasView(project, canvas) { if (!(canvas instanceof window.HTMLCanvasElement)) { var size = Size.read(arguments, 1); if (size.isZero()) throw new Error( 'Cannot create CanvasView with the provided argument: ' + Base.slice(arguments, 1)); canvas = CanvasProvider.getCanvas(size); } var ctx = this._context = canvas.getContext('2d'); ctx.save(); this._pixelRatio = 1; if (!/^off|false$/.test(PaperScope.getAttribute(canvas, 'hidpi'))) { var deviceRatio = window.devicePixelRatio || 1, backingStoreRatio = DomElement.getPrefixed(ctx, 'backingStorePixelRatio') || 1; this._pixelRatio = deviceRatio / backingStoreRatio; } View.call(this, project, canvas); this._needsUpdate = true; }, remove: function remove() { this._context.restore(); return remove.base.call(this); }, _setElementSize: function _setElementSize(width, height) { var pixelRatio = this._pixelRatio; _setElementSize.base.call(this, width * pixelRatio, height * pixelRatio); if (pixelRatio !== 1) { var element = this._element, ctx = this._context; if (!PaperScope.hasAttribute(element, 'resize')) { var style = element.style; style.width = width + 'px'; style.height = height + 'px'; } ctx.restore(); ctx.save(); ctx.scale(pixelRatio, pixelRatio); } }, getPixelSize: function getPixelSize(size) { var agent = paper.agent, pixels; if (agent && agent.firefox) { pixels = getPixelSize.base.call(this, size); } else { var ctx = this._context, prevFont = ctx.font; ctx.font = size + ' serif'; pixels = parseFloat(ctx.font); ctx.font = prevFont; } return pixels; }, getTextWidth: function(font, lines) { var ctx = this._context, prevFont = ctx.font, width = 0; ctx.font = font; for (var i = 0, l = lines.length; i < l; i++) width = Math.max(width, ctx.measureText(lines[i]).width); ctx.font = prevFont; return width; }, update: function() { if (!this._needsUpdate) return false; var project = this._project, ctx = this._context, size = this._viewSize; ctx.clearRect(0, 0, size.width + 1, size.height + 1); if (project) project.draw(ctx, this._matrix, this._pixelRatio); this._needsUpdate = false; return true; } }); var Event = Base.extend({ _class: 'Event', initialize: function Event(event) { this.event = event; this.type = event && event.type; }, prevented: false, stopped: false, preventDefault: function() { this.prevented = true; this.event.preventDefault(); }, stopPropagation: function() { this.stopped = true; this.event.stopPropagation(); }, stop: function() { this.stopPropagation(); this.preventDefault(); }, getTimeStamp: function() { return this.event.timeStamp; }, getModifiers: function() { return Key.modifiers; } }); var KeyEvent = Event.extend({ _class: 'KeyEvent', initialize: function KeyEvent(type, event, key, character) { this.type = type; this.event = event; this.key = key; this.character = character; }, toString: function() { return "{ type: '" + this.type + "', key: '" + this.key + "', character: '" + this.character + "', modifiers: " + this.getModifiers() + " }"; } }); var Key = new function() { var keyLookup = { '\t': 'tab', ' ': 'space', '\b': 'backspace', '\x7f': 'delete', 'Spacebar': 'space', 'Del': 'delete', 'Win': 'meta', 'Esc': 'escape' }, charLookup = { 'tab': '\t', 'space': ' ', 'enter': '\r' }, keyMap = {}, charMap = {}, metaFixMap, downKey, modifiers = new Base({ shift: false, control: false, alt: false, meta: false, capsLock: false, space: false }).inject({ option: { get: function() { return this.alt; } }, command: { get: function() { var agent = paper && paper.agent; return agent && agent.mac ? this.meta : this.control; } } }); function getKey(event) { var key = event.key || event.keyIdentifier; key = /^U\+/.test(key) ? String.fromCharCode(parseInt(key.substr(2), 16)) : /^Arrow[A-Z]/.test(key) ? key.substr(5) : key === 'Unidentified' || key === undefined ? String.fromCharCode(event.keyCode) : key; return keyLookup[key] || (key.length > 1 ? Base.hyphenate(key) : key.toLowerCase()); } function handleKey(down, key, character, event) { var type = down ? 'keydown' : 'keyup', view = View._focused, name; keyMap[key] = down; if (down) { charMap[key] = character; } else { delete charMap[key]; } if (key.length > 1 && (name = Base.camelize(key)) in modifiers) { modifiers[name] = down; var agent = paper && paper.agent; if (name === 'meta' && agent && agent.mac) { if (down) { metaFixMap = {}; } else { for (var k in metaFixMap) { if (k in charMap) handleKey(false, k, metaFixMap[k], event); } metaFixMap = null; } } } else if (down && metaFixMap) { metaFixMap[key] = character; } if (view) { view._handleKeyEvent(down ? 'keydown' : 'keyup', event, key, character); } } DomEvent.add(document, { keydown: function(event) { var key = getKey(event), agent = paper && paper.agent; if (key.length > 1 || agent && (agent.chrome && (event.altKey || agent.mac && event.metaKey || !agent.mac && event.ctrlKey))) { handleKey(true, key, charLookup[key] || (key.length > 1 ? '' : key), event); } else { downKey = key; } }, keypress: function(event) { if (downKey) { var key = getKey(event), code = event.charCode, character = code >= 32 ? String.fromCharCode(code) : key.length > 1 ? '' : key; if (key !== downKey) { key = character.toLowerCase(); } handleKey(true, key, character, event); downKey = null; } }, keyup: function(event) { var key = getKey(event); if (key in charMap) handleKey(false, key, charMap[key], event); } }); DomEvent.add(window, { blur: function(event) { for (var key in charMap) handleKey(false, key, charMap[key], event); } }); return { modifiers: modifiers, isDown: function(key) { return !!keyMap[key]; } }; }; var MouseEvent = Event.extend({ _class: 'MouseEvent', initialize: function MouseEvent(type, event, point, target, delta) { this.type = type; this.event = event; this.point = point; this.target = target; this.delta = delta; }, toString: function() { return "{ type: '" + this.type + "', point: " + this.point + ', target: ' + this.target + (this.delta ? ', delta: ' + this.delta : '') + ', modifiers: ' + this.getModifiers() + ' }'; } }); var ToolEvent = Event.extend({ _class: 'ToolEvent', _item: null, initialize: function ToolEvent(tool, type, event) { this.tool = tool; this.type = type; this.event = event; }, _choosePoint: function(point, toolPoint) { return point ? point : toolPoint ? toolPoint.clone() : null; }, getPoint: function() { return this._choosePoint(this._point, this.tool._point); }, setPoint: function(point) { this._point = point; }, getLastPoint: function() { return this._choosePoint(this._lastPoint, this.tool._lastPoint); }, setLastPoint: function(lastPoint) { this._lastPoint = lastPoint; }, getDownPoint: function() { return this._choosePoint(this._downPoint, this.tool._downPoint); }, setDownPoint: function(downPoint) { this._downPoint = downPoint; }, getMiddlePoint: function() { if (!this._middlePoint && this.tool._lastPoint) { return this.tool._point.add(this.tool._lastPoint).divide(2); } return this._middlePoint; }, setMiddlePoint: function(middlePoint) { this._middlePoint = middlePoint; }, getDelta: function() { return !this._delta && this.tool._lastPoint ? this.tool._point.subtract(this.tool._lastPoint) : this._delta; }, setDelta: function(delta) { this._delta = delta; }, getCount: function() { return this.tool[/^mouse(down|up)$/.test(this.type) ? '_downCount' : '_moveCount']; }, setCount: function(count) { this.tool[/^mouse(down|up)$/.test(this.type) ? 'downCount' : 'count'] = count; }, getItem: function() { if (!this._item) { var result = this.tool._scope.project.hitTest(this.getPoint()); if (result) { var item = result.item, parent = item._parent; while (/^(Group|CompoundPath)$/.test(parent._class)) { item = parent; parent = parent._parent; } this._item = item; } } return this._item; }, setItem: function(item) { this._item = item; }, toString: function() { return '{ type: ' + this.type + ', point: ' + this.getPoint() + ', count: ' + this.getCount() + ', modifiers: ' + this.getModifiers() + ' }'; } }); var Tool = PaperScopeItem.extend({ _class: 'Tool', _list: 'tools', _reference: 'tool', _events: ['onMouseDown', 'onMouseUp', 'onMouseDrag', 'onMouseMove', 'onActivate', 'onDeactivate', 'onEditOptions', 'onKeyDown', 'onKeyUp'], initialize: function Tool(props) { PaperScopeItem.call(this); this._moveCount = -1; this._downCount = -1; this.set(props); }, getMinDistance: function() { return this._minDistance; }, setMinDistance: function(minDistance) { this._minDistance = minDistance; if (minDistance != null && this._maxDistance != null && minDistance > this._maxDistance) { this._maxDistance = minDistance; } }, getMaxDistance: function() { return this._maxDistance; }, setMaxDistance: function(maxDistance) { this._maxDistance = maxDistance; if (this._minDistance != null && maxDistance != null && maxDistance < this._minDistance) { this._minDistance = maxDistance; } }, getFixedDistance: function() { return this._minDistance == this._maxDistance ? this._minDistance : null; }, setFixedDistance: function(distance) { this._minDistance = this._maxDistance = distance; }, _handleMouseEvent: function(type, event, point, mouse) { paper = this._scope; if (mouse.drag && !this.responds(type)) type = 'mousemove'; var move = mouse.move || mouse.drag, responds = this.responds(type), minDistance = this.minDistance, maxDistance = this.maxDistance, called = false, tool = this; function update(minDistance, maxDistance) { var pt = point, toolPoint = move ? tool._point : (tool._downPoint || pt); if (move) { if (tool._moveCount >= 0 && pt.equals(toolPoint)) { return false; } if (toolPoint && (minDistance != null || maxDistance != null)) { var vector = pt.subtract(toolPoint), distance = vector.getLength(); if (distance < (minDistance || 0)) return false; if (maxDistance) { pt = toolPoint.add(vector.normalize( Math.min(distance, maxDistance))); } } tool._moveCount++; } tool._point = pt; tool._lastPoint = toolPoint || pt; if (mouse.down) { tool._moveCount = -1; tool._downPoint = pt; tool._downCount++; } return true; } function emit() { if (responds) { called = tool.emit(type, new ToolEvent(tool, type, event)) || called; } } if (mouse.down) { update(); emit(); } else if (mouse.up) { update(null, maxDistance); emit(); } else if (responds) { while (update(minDistance, maxDistance)) emit(); } return called; } }); var Http = { request: function(options) { var xhr = new self.XMLHttpRequest(); xhr.open((options.method || 'get').toUpperCase(), options.url, Base.pick(options.async, true)); if (options.mimeType) xhr.overrideMimeType(options.mimeType); xhr.onload = function() { var status = xhr.status; if (status === 0 || status === 200) { if (options.onLoad) { options.onLoad.call(xhr, xhr.responseText); } } else { xhr.onerror(); } }; xhr.onerror = function() { var status = xhr.status, message = 'Could not load "' + options.url + '" (Status: ' + status + ')'; if (options.onError) { options.onError(message, status); } else { throw new Error(message); } }; return xhr.send(null); } }; var CanvasProvider = { canvases: [], getCanvas: function(width, height) { if (!window) return null; var canvas, clear = true; if (typeof width === 'object') { height = width.height; width = width.width; } if (this.canvases.length) { canvas = this.canvases.pop(); } else { canvas = document.createElement('canvas'); clear = false; } var ctx = canvas.getContext('2d'); if (!ctx) { throw new Error('Canvas ' + canvas + ' is unable to provide a 2D context.'); } if (canvas.width === width && canvas.height === height) { if (clear) ctx.clearRect(0, 0, width + 1, height + 1); } else { canvas.width = width; canvas.height = height; } ctx.save(); return canvas; }, getContext: function(width, height) { var canvas = this.getCanvas(width, height); return canvas ? canvas.getContext('2d') : null; }, release: function(obj) { var canvas = obj && obj.canvas ? obj.canvas : obj; if (canvas && canvas.getContext) { canvas.getContext('2d').restore(); this.canvases.push(canvas); } } }; var BlendMode = new function() { var min = Math.min, max = Math.max, abs = Math.abs, sr, sg, sb, sa, br, bg, bb, ba, dr, dg, db; function getLum(r, g, b) { return 0.2989 * r + 0.587 * g + 0.114 * b; } function setLum(r, g, b, l) { var d = l - getLum(r, g, b); dr = r + d; dg = g + d; db = b + d; var l = getLum(dr, dg, db), mn = min(dr, dg, db), mx = max(dr, dg, db); if (mn < 0) { var lmn = l - mn; dr = l + (dr - l) * l / lmn; dg = l + (dg - l) * l / lmn; db = l + (db - l) * l / lmn; } if (mx > 255) { var ln = 255 - l, mxl = mx - l; dr = l + (dr - l) * ln / mxl; dg = l + (dg - l) * ln / mxl; db = l + (db - l) * ln / mxl; } } function getSat(r, g, b) { return max(r, g, b) - min(r, g, b); } function setSat(r, g, b, s) { var col = [r, g, b], mx = max(r, g, b), mn = min(r, g, b), md; mn = mn === r ? 0 : mn === g ? 1 : 2; mx = mx === r ? 0 : mx === g ? 1 : 2; md = min(mn, mx) === 0 ? max(mn, mx) === 1 ? 2 : 1 : 0; if (col[mx] > col[mn]) { col[md] = (col[md] - col[mn]) * s / (col[mx] - col[mn]); col[mx] = s; } else { col[md] = col[mx] = 0; } col[mn] = 0; dr = col[0]; dg = col[1]; db = col[2]; } var modes = { multiply: function() { dr = br * sr / 255; dg = bg * sg / 255; db = bb * sb / 255; }, screen: function() { dr = br + sr - (br * sr / 255); dg = bg + sg - (bg * sg / 255); db = bb + sb - (bb * sb / 255); }, overlay: function() { dr = br < 128 ? 2 * br * sr / 255 : 255 - 2 * (255 - br) * (255 - sr) / 255; dg = bg < 128 ? 2 * bg * sg / 255 : 255 - 2 * (255 - bg) * (255 - sg) / 255; db = bb < 128 ? 2 * bb * sb / 255 : 255 - 2 * (255 - bb) * (255 - sb) / 255; }, 'soft-light': function() { var t = sr * br / 255; dr = t + br * (255 - (255 - br) * (255 - sr) / 255 - t) / 255; t = sg * bg / 255; dg = t + bg * (255 - (255 - bg) * (255 - sg) / 255 - t) / 255; t = sb * bb / 255; db = t + bb * (255 - (255 - bb) * (255 - sb) / 255 - t) / 255; }, 'hard-light': function() { dr = sr < 128 ? 2 * sr * br / 255 : 255 - 2 * (255 - sr) * (255 - br) / 255; dg = sg < 128 ? 2 * sg * bg / 255 : 255 - 2 * (255 - sg) * (255 - bg) / 255; db = sb < 128 ? 2 * sb * bb / 255 : 255 - 2 * (255 - sb) * (255 - bb) / 255; }, 'color-dodge': function() { dr = br === 0 ? 0 : sr === 255 ? 255 : min(255, 255 * br / (255 - sr)); dg = bg === 0 ? 0 : sg === 255 ? 255 : min(255, 255 * bg / (255 - sg)); db = bb === 0 ? 0 : sb === 255 ? 255 : min(255, 255 * bb / (255 - sb)); }, 'color-burn': function() { dr = br === 255 ? 255 : sr === 0 ? 0 : max(0, 255 - (255 - br) * 255 / sr); dg = bg === 255 ? 255 : sg === 0 ? 0 : max(0, 255 - (255 - bg) * 255 / sg); db = bb === 255 ? 255 : sb === 0 ? 0 : max(0, 255 - (255 - bb) * 255 / sb); }, darken: function() { dr = br < sr ? br : sr; dg = bg < sg ? bg : sg; db = bb < sb ? bb : sb; }, lighten: function() { dr = br > sr ? br : sr; dg = bg > sg ? bg : sg; db = bb > sb ? bb : sb; }, difference: function() { dr = br - sr; if (dr < 0) dr = -dr; dg = bg - sg; if (dg < 0) dg = -dg; db = bb - sb; if (db < 0) db = -db; }, exclusion: function() { dr = br + sr * (255 - br - br) / 255; dg = bg + sg * (255 - bg - bg) / 255; db = bb + sb * (255 - bb - bb) / 255; }, hue: function() { setSat(sr, sg, sb, getSat(br, bg, bb)); setLum(dr, dg, db, getLum(br, bg, bb)); }, saturation: function() { setSat(br, bg, bb, getSat(sr, sg, sb)); setLum(dr, dg, db, getLum(br, bg, bb)); }, luminosity: function() { setLum(br, bg, bb, getLum(sr, sg, sb)); }, color: function() { setLum(sr, sg, sb, getLum(br, bg, bb)); }, add: function() { dr = min(br + sr, 255); dg = min(bg + sg, 255); db = min(bb + sb, 255); }, subtract: function() { dr = max(br - sr, 0); dg = max(bg - sg, 0); db = max(bb - sb, 0); }, average: function() { dr = (br + sr) / 2; dg = (bg + sg) / 2; db = (bb + sb) / 2; }, negation: function() { dr = 255 - abs(255 - sr - br); dg = 255 - abs(255 - sg - bg); db = 255 - abs(255 - sb - bb); } }; var nativeModes = this.nativeModes = Base.each([ 'source-over', 'source-in', 'source-out', 'source-atop', 'destination-over', 'destination-in', 'destination-out', 'destination-atop', 'lighter', 'darker', 'copy', 'xor' ], function(mode) { this[mode] = true; }, {}); var ctx = CanvasProvider.getContext(1, 1); if (ctx) { Base.each(modes, function(func, mode) { var darken = mode === 'darken', ok = false; ctx.save(); try { ctx.fillStyle = darken ? '#300' : '#a00'; ctx.fillRect(0, 0, 1, 1); ctx.globalCompositeOperation = mode; if (ctx.globalCompositeOperation === mode) { ctx.fillStyle = darken ? '#a00' : '#300'; ctx.fillRect(0, 0, 1, 1); ok = ctx.getImageData(0, 0, 1, 1).data[0] !== darken ? 170 : 51; } } catch (e) {} ctx.restore(); nativeModes[mode] = ok; }); CanvasProvider.release(ctx); } this.process = function(mode, srcContext, dstContext, alpha, offset) { var srcCanvas = srcContext.canvas, normal = mode === 'normal'; if (normal || nativeModes[mode]) { dstContext.save(); dstContext.setTransform(1, 0, 0, 1, 0, 0); dstContext.globalAlpha = alpha; if (!normal) dstContext.globalCompositeOperation = mode; dstContext.drawImage(srcCanvas, offset.x, offset.y); dstContext.restore(); } else { var process = modes[mode]; if (!process) return; var dstData = dstContext.getImageData(offset.x, offset.y, srcCanvas.width, srcCanvas.height), dst = dstData.data, src = srcContext.getImageData(0, 0, srcCanvas.width, srcCanvas.height).data; for (var i = 0, l = dst.length; i < l; i += 4) { sr = src[i]; br = dst[i]; sg = src[i + 1]; bg = dst[i + 1]; sb = src[i + 2]; bb = dst[i + 2]; sa = src[i + 3]; ba = dst[i + 3]; process(); var a1 = sa * alpha / 255, a2 = 1 - a1; dst[i] = a1 * dr + a2 * br; dst[i + 1] = a1 * dg + a2 * bg; dst[i + 2] = a1 * db + a2 * bb; dst[i + 3] = sa * alpha + a2 * ba; } dstContext.putImageData(dstData, offset.x, offset.y); } }; }; var SvgElement = new function() { var svg = 'http://www.w3.org/2000/svg', xmlns = 'http://www.w3.org/2000/xmlns', xlink = 'http://www.w3.org/1999/xlink', attributeNamespace = { href: xlink, xlink: xmlns, xmlns: xmlns + '/', 'xmlns:xlink': xmlns + '/' }; function create(tag, attributes, formatter) { return set(document.createElementNS(svg, tag), attributes, formatter); } function get(node, name) { var namespace = attributeNamespace[name], value = namespace ? node.getAttributeNS(namespace, name) : node.getAttribute(name); return value === 'null' ? null : value; } function set(node, attributes, formatter) { for (var name in attributes) { var value = attributes[name], namespace = attributeNamespace[name]; if (typeof value === 'number' && formatter) value = formatter.number(value); if (namespace) { node.setAttributeNS(namespace, name, value); } else { node.setAttribute(name, value); } } return node; } return { svg: svg, xmlns: xmlns, xlink: xlink, create: create, get: get, set: set }; }; var SvgStyles = Base.each({ fillColor: ['fill', 'color'], fillRule: ['fill-rule', 'string'], strokeColor: ['stroke', 'color'], strokeWidth: ['stroke-width', 'number'], strokeCap: ['stroke-linecap', 'string'], strokeJoin: ['stroke-linejoin', 'string'], strokeScaling: ['vector-effect', 'lookup', { true: 'none', false: 'non-scaling-stroke' }, function(item, value) { return !value && (item instanceof PathItem || item instanceof Shape || item instanceof TextItem); }], miterLimit: ['stroke-miterlimit', 'number'], dashArray: ['stroke-dasharray', 'array'], dashOffset: ['stroke-dashoffset', 'number'], fontFamily: ['font-family', 'string'], fontWeight: ['font-weight', 'string'], fontSize: ['font-size', 'number'], justification: ['text-anchor', 'lookup', { left: 'start', center: 'middle', right: 'end' }], opacity: ['opacity', 'number'], blendMode: ['mix-blend-mode', 'style'] }, function(entry, key) { var part = Base.capitalize(key), lookup = entry[2]; this[key] = { type: entry[1], property: key, attribute: entry[0], toSVG: lookup, fromSVG: lookup && Base.each(lookup, function(value, name) { this[value] = name; }, {}), exportFilter: entry[3], get: 'get' + part, set: 'set' + part }; }, {}); new function() { var formatter; function getTransform(matrix, coordinates, center) { var attrs = new Base(), trans = matrix.getTranslation(); if (coordinates) { matrix = matrix._shiftless(); var point = matrix._inverseTransform(trans); attrs[center ? 'cx' : 'x'] = point.x; attrs[center ? 'cy' : 'y'] = point.y; trans = null; } if (!matrix.isIdentity()) { var decomposed = matrix.decompose(); if (decomposed) { var parts = [], angle = decomposed.rotation, scale = decomposed.scaling, skew = decomposed.skewing; if (trans && !trans.isZero()) parts.push('translate(' + formatter.point(trans) + ')'); if (angle) parts.push('rotate(' + formatter.number(angle) + ')'); if (!Numerical.isZero(scale.x - 1) || !Numerical.isZero(scale.y - 1)) parts.push('scale(' + formatter.point(scale) +')'); if (skew.x) parts.push('skewX(' + formatter.number(skew.x) + ')'); if (skew.y) parts.push('skewY(' + formatter.number(skew.y) + ')'); attrs.transform = parts.join(' '); } else { attrs.transform = 'matrix(' + matrix.getValues().join(',') + ')'; } } return attrs; } function exportGroup(item, options) { var attrs = getTransform(item._matrix), children = item._children; var node = SvgElement.create('g', attrs, formatter); for (var i = 0, l = children.length; i < l; i++) { var child = children[i]; var childNode = exportSVG(child, options); if (childNode) { if (child.isClipMask()) { var clip = SvgElement.create('clipPath'); clip.appendChild(childNode); setDefinition(child, clip, 'clip'); SvgElement.set(node, { 'clip-path': 'url(#' + clip.id + ')' }); } else { node.appendChild(childNode); } } } return node; } function exportRaster(item, options) { var attrs = getTransform(item._matrix, true), size = item.getSize(), image = item.getImage(); attrs.x -= size.width / 2; attrs.y -= size.height / 2; attrs.width = size.width; attrs.height = size.height; attrs.href = options.embedImages == false && image && image.src || item.toDataURL(); return SvgElement.create('image', attrs, formatter); } function exportPath(item, options) { var matchShapes = options.matchShapes; if (matchShapes) { var shape = item.toShape(false); if (shape) return exportShape(shape, options); } var segments = item._segments, length = segments.length, type, attrs = getTransform(item._matrix); if (matchShapes && length >= 2 && !item.hasHandles()) { if (length > 2) { type = item._closed ? 'polygon' : 'polyline'; var parts = []; for (var i = 0; i < length; i++) { parts.push(formatter.point(segments[i]._point)); } attrs.points = parts.join(' '); } else { type = 'line'; var start = segments[0]._point, end = segments[1]._point; attrs.set({ x1: start.x, y1: start.y, x2: end.x, y2: end.y }); } } else { type = 'path'; attrs.d = item.getPathData(null, options.precision); } return SvgElement.create(type, attrs, formatter); } function exportShape(item) { var type = item._type, radius = item._radius, attrs = getTransform(item._matrix, true, type !== 'rectangle'); if (type === 'rectangle') { type = 'rect'; var size = item._size, width = size.width, height = size.height; attrs.x -= width / 2; attrs.y -= height / 2; attrs.width = width; attrs.height = height; if (radius.isZero()) radius = null; } if (radius) { if (type === 'circle') { attrs.r = radius; } else { attrs.rx = radius.width; attrs.ry = radius.height; } } return SvgElement.create(type, attrs, formatter); } function exportCompoundPath(item, options) { var attrs = getTransform(item._matrix); var data = item.getPathData(null, options.precision); if (data) attrs.d = data; return SvgElement.create('path', attrs, formatter); } function exportSymbolItem(item, options) { var attrs = getTransform(item._matrix, true), definition = item._definition, node = getDefinition(definition, 'symbol'), definitionItem = definition._item, bounds = definitionItem.getBounds(); if (!node) { node = SvgElement.create('symbol', { viewBox: formatter.rectangle(bounds) }); node.appendChild(exportSVG(definitionItem, options)); setDefinition(definition, node, 'symbol'); } attrs.href = '#' + node.id; attrs.x += bounds.x; attrs.y += bounds.y; attrs.width = bounds.width; attrs.height = bounds.height; attrs.overflow = 'visible'; return SvgElement.create('use', attrs, formatter); } function exportGradient(color, item) { var gradientNode = getDefinition(color, 'color'); if (!gradientNode) { var gradient = color.getGradient(), radial = gradient._radial, origin = color.getOrigin(), destination = color.getDestination(), attrs; if (radial) { attrs = { cx: origin.x, cy: origin.y, r: origin.getDistance(destination) }; var highlight = color.getHighlight(); if (highlight) { attrs.fx = highlight.x; attrs.fy = highlight.y; } } else { attrs = { x1: origin.x, y1: origin.y, x2: destination.x, y2: destination.y }; } if (item instanceof paper.PointText) { attrs.gradientTransform = getTransform( item._matrix.clone().invert(), false, formatter).transform; } attrs.gradientUnits = 'userSpaceOnUse'; gradientNode = SvgElement.create((radial ? 'radial' : 'linear') + 'Gradient', attrs, formatter); var stops = gradient._stops; for (var i = 0, l = stops.length; i < l; i++) { var stop = stops[i], stopColor = stop._color, alpha = stopColor.getAlpha(), offset = stop._offset; attrs = { offset: offset == null ? i / (l - 1) : offset }; if (stopColor) attrs['stop-color'] = stopColor.toCSS(true); if (alpha < 1) attrs['stop-opacity'] = alpha; gradientNode.appendChild( SvgElement.create('stop', attrs, formatter)); } setDefinition(color, gradientNode, 'color'); } return 'url(#' + gradientNode.id + ')'; } function exportText(item) { var node = SvgElement.create('text', getTransform(item._matrix, false), formatter); node.setAttribute('font-size', item.fontSize); node.setAttribute('xml:space', 'preserve'); for (var i = 0; i < item._lines.length; i++) { var tspanNode = SvgElement.create('tspan', { x: '0', dy: i === 0 ? '0' : item.getLeading() + 'px' }, formatter); tspanNode.textContent = item._lines[i] ? item._lines[i] : ' '; node.appendChild(tspanNode); } return node; } var exporters = { Group: exportGroup, Layer: exportGroup, Raster: exportRaster, Path: exportPath, Shape: exportShape, CompoundPath: exportCompoundPath, SymbolItem: exportSymbolItem, PointText: exportText }; function applyStyle(item, node, isRoot) { var attrs = {}, parent = !isRoot && item.getParent(), style = []; if (item._name != null) attrs.id = item._name; Base.each(SvgStyles, function(entry) { var get = entry.get, type = entry.type, value = item[get](); if (entry.exportFilter ? entry.exportFilter(item, value) : !parent || !Base.equals(parent[get](), value) || item instanceof paper.PointText) { if (type === 'color' && value != null) { var alpha = value.getAlpha(); if (alpha < 1) attrs[entry.attribute + '-opacity'] = alpha; } if (type === 'style') { style.push(entry.attribute + ': ' + value); } else { attrs[entry.attribute] = value == null ? 'none' : type === 'color' ? value.gradient ? exportGradient(value, item) : value.toCSS(true) : type === 'array' ? value.join(',') : type === 'lookup' ? entry.toSVG[value] : value; } } }); if (style.length) attrs.style = style.join(';'); if (attrs.opacity === 1) delete attrs.opacity; if (!item._visible) attrs.visibility = 'hidden'; return SvgElement.set(node, attrs, formatter); } var definitions; function getDefinition(item, type) { if (!definitions) definitions = { ids: {}, svgs: {} }; return item && definitions.svgs[type + '-' + (item._id || item.__id || (item.__id = UID.get('svg')))]; } function setDefinition(item, node, type) { if (!definitions) getDefinition(); var typeId = definitions.ids[type] = (definitions.ids[type] || 0) + 1; node.id = type + '-' + typeId; definitions.svgs[type + '-' + (item._id || item.__id)] = node; } function exportDefinitions(node, options) { var svg = node, defs = null; if (definitions) { svg = node.nodeName.toLowerCase() === 'svg' && node; for (var i in definitions.svgs) { if (!defs) { if (!svg) { svg = SvgElement.create('svg'); svg.appendChild(node); } defs = svg.insertBefore(SvgElement.create('defs'), svg.firstChild); } defs.appendChild(definitions.svgs[i]); } definitions = null; } return options.asString ? new self.XMLSerializer().serializeToString(svg) : svg; } function exportSVG(item, options, isRoot) { var exporter = exporters[item._class], node = exporter && exporter(item, options); if (node) { var onExport = options.onExport; if (onExport) node = onExport(item, node, options) || node; var data = JSON.stringify(item._data); if (data && data !== '{}' && data !== 'null') node.setAttribute('data-paper-data', data); } return node && applyStyle(item, node, isRoot); } function setOptions(options) { if (!options) options = {}; formatter = new Formatter(options.precision); return options; } Item.inject({ exportSVG: function(options) { options = setOptions(options); return exportDefinitions(exportSVG(this, options, true), options); } }); Project.inject({ exportSVG: function(options) { options = setOptions(options); var children = this._children, view = this.getView(), bounds = Base.pick(options.bounds, 'view'), mx = options.matrix || bounds === 'view' && view._matrix, matrix = mx && Matrix.read([mx]), rect = bounds === 'view' ? new Rectangle([0, 0], view.getViewSize()) : bounds === 'content' ? Item._getBounds(children, matrix, { stroke: true, drawnTextBounds: true }) .rect : Rectangle.read([bounds], 0, { readNull: true }), attrs = { version: '1.1', xmlns: SvgElement.svg, 'xmlns:xlink': SvgElement.xlink, }; if (rect) { attrs.width = rect.width; attrs.height = rect.height; if (rect.x || rect.y) attrs.viewBox = formatter.rectangle(rect); } var node = SvgElement.create('svg', attrs, formatter), parent = node; if (matrix && !matrix.isIdentity()) { parent = node.appendChild(SvgElement.create('g', getTransform(matrix), formatter)); } for (var i = 0, l = children.length; i < l; i++) { parent.appendChild(exportSVG(children[i], options, true)); } return exportDefinitions(node, options); } }); }; new function() { var definitions = {}, rootSize; function getValue(node, name, isString, allowNull, allowPercent) { var value = SvgElement.get(node, name), res = value == null ? allowNull ? null : isString ? '' : 0 : isString ? value : parseFloat(value); return /%\s*$/.test(value) ? (res / 100) * (allowPercent ? 1 : rootSize[/x|^width/.test(name) ? 'width' : 'height']) : res; } function getPoint(node, x, y, allowNull, allowPercent) { x = getValue(node, x || 'x', false, allowNull, allowPercent); y = getValue(node, y || 'y', false, allowNull, allowPercent); return allowNull && (x == null || y == null) ? null : new Point(x, y); } function getSize(node, w, h, allowNull, allowPercent) { w = getValue(node, w || 'width', false, allowNull, allowPercent); h = getValue(node, h || 'height', false, allowNull, allowPercent); return allowNull && (w == null || h == null) ? null : new Size(w, h); } function convertValue(value, type, lookup) { return value === 'none' ? null : type === 'number' ? parseFloat(value) : type === 'array' ? value ? value.split(/[\s,]+/g).map(parseFloat) : [] : type === 'color' ? getDefinition(value) || value : type === 'lookup' ? lookup[value] : value; } function importGroup(node, type, options, isRoot) { var nodes = node.childNodes, isClip = type === 'clippath', isDefs = type === 'defs', item = new Group(), project = item._project, currentStyle = project._currentStyle, children = []; if (!isClip && !isDefs) { item = applyAttributes(item, node, isRoot); project._currentStyle = item._style.clone(); } if (isRoot) { var defs = node.querySelectorAll('defs'); for (var i = 0, l = defs.length; i < l; i++) { importNode(defs[i], options, false); } } for (var i = 0, l = nodes.length; i < l; i++) { var childNode = nodes[i], child; if (childNode.nodeType === 1 && !/^defs$/i.test(childNode.nodeName) && (child = importNode(childNode, options, false)) && !(child instanceof SymbolDefinition)) children.push(child); } item.addChildren(children); if (isClip) item = applyAttributes(item.reduce(), node, isRoot); project._currentStyle = currentStyle; if (isClip || isDefs) { item.remove(); item = null; } return item; } function importPoly(node, type) { var coords = node.getAttribute('points').match( /[+-]?(?:\d*\.\d+|\d+\.?)(?:[eE][+-]?\d+)?/g), points = []; for (var i = 0, l = coords.length; i < l; i += 2) points.push(new Point( parseFloat(coords[i]), parseFloat(coords[i + 1]))); var path = new Path(points); if (type === 'polygon') path.closePath(); return path; } function importPath(node) { return PathItem.create(node.getAttribute('d')); } function importGradient(node, type) { var id = (getValue(node, 'href', true) || '').substring(1), radial = type === 'radialgradient', gradient; if (id) { gradient = definitions[id].getGradient(); if (gradient._radial ^ radial) { gradient = gradient.clone(); gradient._radial = radial; } } else { var nodes = node.childNodes, stops = []; for (var i = 0, l = nodes.length; i < l; i++) { var child = nodes[i]; if (child.nodeType === 1) stops.push(applyAttributes(new GradientStop(), child)); } gradient = new Gradient(stops, radial); } var origin, destination, highlight, scaleToBounds = getValue(node, 'gradientUnits', true) !== 'userSpaceOnUse'; if (radial) { origin = getPoint(node, 'cx', 'cy', false, scaleToBounds); destination = origin.add( getValue(node, 'r', false, false, scaleToBounds), 0); highlight = getPoint(node, 'fx', 'fy', true, scaleToBounds); } else { origin = getPoint(node, 'x1', 'y1', false, scaleToBounds); destination = getPoint(node, 'x2', 'y2', false, scaleToBounds); } var color = applyAttributes( new Color(gradient, origin, destination, highlight), node); color._scaleToBounds = scaleToBounds; return null; } var importers = { '#document': function (node, type, options, isRoot) { var nodes = node.childNodes; for (var i = 0, l = nodes.length; i < l; i++) { var child = nodes[i]; if (child.nodeType === 1) return importNode(child, options, isRoot); } }, g: importGroup, svg: importGroup, clippath: importGroup, polygon: importPoly, polyline: importPoly, path: importPath, lineargradient: importGradient, radialgradient: importGradient, image: function (node) { var raster = new Raster(getValue(node, 'href', true)); raster.on('load', function() { var size = getSize(node); this.setSize(size); var center = getPoint(node).add(size.divide(2)); this._matrix.append(new Matrix().translate(center)); }); return raster; }, symbol: function(node, type, options, isRoot) { return new SymbolDefinition( importGroup(node, type, options, isRoot), true); }, defs: importGroup, use: function(node) { var id = (getValue(node, 'href', true) || '').substring(1), definition = definitions[id], point = getPoint(node); return definition ? definition instanceof SymbolDefinition ? definition.place(point) : definition.clone().translate(point) : null; }, circle: function(node) { return new Shape.Circle( getPoint(node, 'cx', 'cy'), getValue(node, 'r')); }, ellipse: function(node) { return new Shape.Ellipse({ center: getPoint(node, 'cx', 'cy'), radius: getSize(node, 'rx', 'ry') }); }, rect: function(node) { return new Shape.Rectangle(new Rectangle( getPoint(node), getSize(node) ), getSize(node, 'rx', 'ry')); }, line: function(node) { return new Path.Line( getPoint(node, 'x1', 'y1'), getPoint(node, 'x2', 'y2')); }, text: function(node) { var fontSize = parseFloat(node.getAttribute("font-size")); var alignmentBaseline = node.getAttribute("alignment-baseline"); if (node.childElementCount === 0) { var text = new PointText(); text.setContent(node.textContent.trim() || ''); text.translate(0, text._style.getLeading()); if (!isNaN(fontSize)) text.setFontSize(fontSize); return text; } else { var lines = []; var spacing = 1.2; for (var i = 0; i < node.childNodes.length; i++) { var child = node.childNodes[i]; if (!child.getAttribute) continue; lines.push(child.textContent); var dyString = child.getAttribute('dy'); if (dyString) { var dy = parseFloat(dyString); if (!isNaN(dy)) { if (dyString.endsWith('em')) { spacing = dy; } else if (dyString.endsWith('px') && !isNaN(fontSize)) { spacing = dy / fontSize; } } } } var text = new PointText(); if (!isNaN(fontSize)) text.setFontSize(fontSize); text.setLeading(text.fontSize * spacing); if (alignmentBaseline === 'text-before-edge') { text.setContent(' '); text.translate(0, text.bounds.height); } text.setContent(lines.join('\n')); return text; } } }; function applyTransform(item, value, name, node) { if (item.transform) { var transforms = (node.getAttribute(name) || '').split(/\)\s*/g), matrix = new Matrix(); for (var i = 0, l = transforms.length; i < l; i++) { var transform = transforms[i]; if (!transform) break; var parts = transform.split(/\(\s*/), command = parts[0], v = parts[1].split(/[\s,]+/g); for (var j = 0, m = v.length; j < m; j++) v[j] = parseFloat(v[j]); switch (command) { case 'matrix': matrix.append( new Matrix(v[0], v[1], v[2], v[3], v[4], v[5])); break; case 'rotate': matrix.rotate(v[0], v[1] || 0, v[2] || 0); break; case 'translate': matrix.translate(v[0], v[1] || 0); break; case 'scale': matrix.scale(v); break; case 'skewX': matrix.skew(v[0], 0); break; case 'skewY': matrix.skew(0, v[0]); break; } } item.transform(matrix); } } function applyOpacity(item, value, name) { var key = name === 'fill-opacity' ? 'getFillColor' : 'getStrokeColor', color = item[key] && item[key](); if (color) color.setAlpha(parseFloat(value)); } var attributes = Base.set(Base.each(SvgStyles, function(entry) { this[entry.attribute] = function(item, value) { if (item[entry.set]) { item[entry.set](convertValue(value, entry.type, entry.fromSVG)); if (entry.type === 'color') { var color = item[entry.get](); if (color) { if (color._scaleToBounds) { var bounds = item.getBounds(); color.transform(new Matrix() .translate(bounds.getPoint()) .scale(bounds.getSize())); } } } } }; }, {}), { id: function(item, value) { definitions[value] = item; if (item.setName) item.setName(value); }, 'clip-path': function(item, value) { var clip = getDefinition(value); if (clip) { clip = clip.clone(); clip.setClipMask(true); if (item instanceof Group) { item.insertChild(0, clip); } else { return new Group(clip, item); } } }, gradientTransform: applyTransform, transform: applyTransform, 'fill-opacity': applyOpacity, 'stroke-opacity': applyOpacity, visibility: function(item, value) { if (item.setVisible) item.setVisible(value === 'visible'); }, display: function(item, value) { if (item.setVisible) item.setVisible(value !== null); }, 'stop-color': function(item, value) { if (item.setColor) item.setColor(value); }, 'stop-opacity': function(item, value) { if (item._color) item._color.setAlpha(parseFloat(value)); }, offset: function(item, value) { if (item.setOffset) { var percent = value.match(/(.*)%$/); item.setOffset(percent ? percent[1] / 100 : parseFloat(value)); } }, viewBox: function(item, value, name, node, styles) { var rect = new Rectangle(convertValue(value, 'array')), size = getSize(node, null, null, true), group, matrix; if (item instanceof Group) { var scale = size ? size.divide(rect.getSize()) : 1, matrix = new Matrix().scale(scale) .translate(rect.getPoint().negate()); group = item; } else if (item instanceof SymbolDefinition) { if (size) rect.setSize(size); group = item._item; } if (group) { if (getAttribute(node, 'overflow', styles) !== 'visible') { var clip = new Shape.Rectangle(rect); clip.setClipMask(true); group.addChild(clip); } if (matrix) group.transform(matrix); } } }); function getAttribute(node, name, styles) { var attr = node.attributes[name], value = attr && attr.value; if (!value && node.style) { var style = Base.camelize(name); value = node.style[style]; if (!value && styles.node[style] !== styles.parent[style]) value = styles.node[style]; } return !value ? undefined : value === 'none' ? null : value; } function applyAttributes(item, node, isRoot) { var parent = node.parentNode, styles = { node: DomElement.getStyles(node) || {}, parent: !isRoot && !/^defs$/i.test(parent.tagName) && DomElement.getStyles(parent) || {} }; Base.each(attributes, function(apply, name) { var value = getAttribute(node, name, styles); item = value !== undefined && apply(item, value, name, node, styles) || item; }); return item; } function getDefinition(value) { var match = value && value.match(/\((?:["'#]*)([^"')]+)/), name = match && match[1], res = name && definitions[window ? name.replace(window.location.href.split('#')[0] + '#', '') : name]; if (res && res._scaleToBounds) { res = res.clone(); res._scaleToBounds = true; } return res; } function importNode(node, options, isRoot) { var type = node.nodeName.toLowerCase(), isElement = type !== '#document', body = document.body, container, parent, next; if (isRoot && isElement) { rootSize = paper.getView().getSize(); rootSize = getSize(node, null, null, true) || rootSize; container = SvgElement.create('svg', { style: 'stroke-width: 1px; stroke-miterlimit: 10' }); parent = node.parentNode; next = node.nextSibling; container.appendChild(node); body.appendChild(container); } var settings = paper.settings, applyMatrix = settings.applyMatrix, insertItems = settings.insertItems; settings.applyMatrix = false; settings.insertItems = false; var importer = importers[type], item = importer && importer(node, type, options, isRoot) || null; settings.insertItems = insertItems; settings.applyMatrix = applyMatrix; if (item) { if (isElement && !(item instanceof Group)) item = applyAttributes(item, node, isRoot); var onImport = options.onImport, data = isElement && node.getAttribute('data-paper-data'); if (onImport) item = onImport(node, item, options) || item; if (options.expandShapes && item instanceof Shape) { item.remove(); item = item.toPath(); } if (data) item._data = JSON.parse(data); } if (container) { body.removeChild(container); if (parent) { if (next) { parent.insertBefore(node, next); } else { parent.appendChild(node); } } } if (isRoot) { definitions = {}; if (item && Base.pick(options.applyMatrix, applyMatrix)) item.matrix.apply(true, true); } return item; } function importSVG(source, options, owner) { if (!source) return null; options = typeof options === 'function' ? { onLoad: options } : options || {}; var scope = paper, item = null; function onLoad(svg) { try { var node = typeof svg === 'object' ? svg : new self.DOMParser() .parseFromString(svg, 'image/svg+xml'); if (!node.nodeName) { node = null; throw new Error('Unsupported SVG source: ' + source); } paper = scope; item = importNode(node, options, true); if (!options || options.insert !== false) { owner._insertItem(undefined, item); } var onLoad = options.onLoad; if (onLoad) onLoad(item, svg); } catch (e) { onError(e); } } function onError(message, status) { var onError = options.onError; if (onError) { onError(message, status); } else { throw new Error(message); } } if (typeof source === 'string' && !/^.* 3) { cats.sort(function(a, b) {return b.length - a.length;}); f += "switch(str.length){"; for (var i = 0; i < cats.length; ++i) { var cat = cats[i]; f += "case " + cat[0].length + ":"; compareTo(cat); } f += "}"; } else { compareTo(words); } return new Function("str", f); } var isReservedWord3 = makePredicate("abstract boolean byte char class double enum export extends final float goto implements import int interface long native package private protected public short static super synchronized throws transient volatile"); var isReservedWord5 = makePredicate("class enum extends super const export import"); var isStrictReservedWord = makePredicate("implements interface let package private protected public static yield"); var isStrictBadIdWord = makePredicate("eval arguments"); var isKeyword = makePredicate("break case catch continue debugger default do else finally for function if return switch throw try var while with null true false instanceof typeof void delete new in this"); var nonASCIIwhitespace = /[\u1680\u180e\u2000-\u200a\u202f\u205f\u3000\ufeff]/; var nonASCIIidentifierStartChars = "\xaa\xb5\xba\xc0-\xd6\xd8-\xf6\xf8-\u02c1\u02c6-\u02d1\u02e0-\u02e4\u02ec\u02ee\u0370-\u0374\u0376\u0377\u037a-\u037d\u0386\u0388-\u038a\u038c\u038e-\u03a1\u03a3-\u03f5\u03f7-\u0481\u048a-\u0527\u0531-\u0556\u0559\u0561-\u0587\u05d0-\u05ea\u05f0-\u05f2\u0620-\u064a\u066e\u066f\u0671-\u06d3\u06d5\u06e5\u06e6\u06ee\u06ef\u06fa-\u06fc\u06ff\u0710\u0712-\u072f\u074d-\u07a5\u07b1\u07ca-\u07ea\u07f4\u07f5\u07fa\u0800-\u0815\u081a\u0824\u0828\u0840-\u0858\u08a0\u08a2-\u08ac\u0904-\u0939\u093d\u0950\u0958-\u0961\u0971-\u0977\u0979-\u097f\u0985-\u098c\u098f\u0990\u0993-\u09a8\u09aa-\u09b0\u09b2\u09b6-\u09b9\u09bd\u09ce\u09dc\u09dd\u09df-\u09e1\u09f0\u09f1\u0a05-\u0a0a\u0a0f\u0a10\u0a13-\u0a28\u0a2a-\u0a30\u0a32\u0a33\u0a35\u0a36\u0a38\u0a39\u0a59-\u0a5c\u0a5e\u0a72-\u0a74\u0a85-\u0a8d\u0a8f-\u0a91\u0a93-\u0aa8\u0aaa-\u0ab0\u0ab2\u0ab3\u0ab5-\u0ab9\u0abd\u0ad0\u0ae0\u0ae1\u0b05-\u0b0c\u0b0f\u0b10\u0b13-\u0b28\u0b2a-\u0b30\u0b32\u0b33\u0b35-\u0b39\u0b3d\u0b5c\u0b5d\u0b5f-\u0b61\u0b71\u0b83\u0b85-\u0b8a\u0b8e-\u0b90\u0b92-\u0b95\u0b99\u0b9a\u0b9c\u0b9e\u0b9f\u0ba3\u0ba4\u0ba8-\u0baa\u0bae-\u0bb9\u0bd0\u0c05-\u0c0c\u0c0e-\u0c10\u0c12-\u0c28\u0c2a-\u0c33\u0c35-\u0c39\u0c3d\u0c58\u0c59\u0c60\u0c61\u0c85-\u0c8c\u0c8e-\u0c90\u0c92-\u0ca8\u0caa-\u0cb3\u0cb5-\u0cb9\u0cbd\u0cde\u0ce0\u0ce1\u0cf1\u0cf2\u0d05-\u0d0c\u0d0e-\u0d10\u0d12-\u0d3a\u0d3d\u0d4e\u0d60\u0d61\u0d7a-\u0d7f\u0d85-\u0d96\u0d9a-\u0db1\u0db3-\u0dbb\u0dbd\u0dc0-\u0dc6\u0e01-\u0e30\u0e32\u0e33\u0e40-\u0e46\u0e81\u0e82\u0e84\u0e87\u0e88\u0e8a\u0e8d\u0e94-\u0e97\u0e99-\u0e9f\u0ea1-\u0ea3\u0ea5\u0ea7\u0eaa\u0eab\u0ead-\u0eb0\u0eb2\u0eb3\u0ebd\u0ec0-\u0ec4\u0ec6\u0edc-\u0edf\u0f00\u0f40-\u0f47\u0f49-\u0f6c\u0f88-\u0f8c\u1000-\u102a\u103f\u1050-\u1055\u105a-\u105d\u1061\u1065\u1066\u106e-\u1070\u1075-\u1081\u108e\u10a0-\u10c5\u10c7\u10cd\u10d0-\u10fa\u10fc-\u1248\u124a-\u124d\u1250-\u1256\u1258\u125a-\u125d\u1260-\u1288\u128a-\u128d\u1290-\u12b0\u12b2-\u12b5\u12b8-\u12be\u12c0\u12c2-\u12c5\u12c8-\u12d6\u12d8-\u1310\u1312-\u1315\u1318-\u135a\u1380-\u138f\u13a0-\u13f4\u1401-\u166c\u166f-\u167f\u1681-\u169a\u16a0-\u16ea\u16ee-\u16f0\u1700-\u170c\u170e-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176c\u176e-\u1770\u1780-\u17b3\u17d7\u17dc\u1820-\u1877\u1880-\u18a8\u18aa\u18b0-\u18f5\u1900-\u191c\u1950-\u196d\u1970-\u1974\u1980-\u19ab\u19c1-\u19c7\u1a00-\u1a16\u1a20-\u1a54\u1aa7\u1b05-\u1b33\u1b45-\u1b4b\u1b83-\u1ba0\u1bae\u1baf\u1bba-\u1be5\u1c00-\u1c23\u1c4d-\u1c4f\u1c5a-\u1c7d\u1ce9-\u1cec\u1cee-\u1cf1\u1cf5\u1cf6\u1d00-\u1dbf\u1e00-\u1f15\u1f18-\u1f1d\u1f20-\u1f45\u1f48-\u1f4d\u1f50-\u1f57\u1f59\u1f5b\u1f5d\u1f5f-\u1f7d\u1f80-\u1fb4\u1fb6-\u1fbc\u1fbe\u1fc2-\u1fc4\u1fc6-\u1fcc\u1fd0-\u1fd3\u1fd6-\u1fdb\u1fe0-\u1fec\u1ff2-\u1ff4\u1ff6-\u1ffc\u2071\u207f\u2090-\u209c\u2102\u2107\u210a-\u2113\u2115\u2119-\u211d\u2124\u2126\u2128\u212a-\u212d\u212f-\u2139\u213c-\u213f\u2145-\u2149\u214e\u2160-\u2188\u2c00-\u2c2e\u2c30-\u2c5e\u2c60-\u2ce4\u2ceb-\u2cee\u2cf2\u2cf3\u2d00-\u2d25\u2d27\u2d2d\u2d30-\u2d67\u2d6f\u2d80-\u2d96\u2da0-\u2da6\u2da8-\u2dae\u2db0-\u2db6\u2db8-\u2dbe\u2dc0-\u2dc6\u2dc8-\u2dce\u2dd0-\u2dd6\u2dd8-\u2dde\u2e2f\u3005-\u3007\u3021-\u3029\u3031-\u3035\u3038-\u303c\u3041-\u3096\u309d-\u309f\u30a1-\u30fa\u30fc-\u30ff\u3105-\u312d\u3131-\u318e\u31a0-\u31ba\u31f0-\u31ff\u3400-\u4db5\u4e00-\u9fcc\ua000-\ua48c\ua4d0-\ua4fd\ua500-\ua60c\ua610-\ua61f\ua62a\ua62b\ua640-\ua66e\ua67f-\ua697\ua6a0-\ua6ef\ua717-\ua71f\ua722-\ua788\ua78b-\ua78e\ua790-\ua793\ua7a0-\ua7aa\ua7f8-\ua801\ua803-\ua805\ua807-\ua80a\ua80c-\ua822\ua840-\ua873\ua882-\ua8b3\ua8f2-\ua8f7\ua8fb\ua90a-\ua925\ua930-\ua946\ua960-\ua97c\ua984-\ua9b2\ua9cf\uaa00-\uaa28\uaa40-\uaa42\uaa44-\uaa4b\uaa60-\uaa76\uaa7a\uaa80-\uaaaf\uaab1\uaab5\uaab6\uaab9-\uaabd\uaac0\uaac2\uaadb-\uaadd\uaae0-\uaaea\uaaf2-\uaaf4\uab01-\uab06\uab09-\uab0e\uab11-\uab16\uab20-\uab26\uab28-\uab2e\uabc0-\uabe2\uac00-\ud7a3\ud7b0-\ud7c6\ud7cb-\ud7fb\uf900-\ufa6d\ufa70-\ufad9\ufb00-\ufb06\ufb13-\ufb17\ufb1d\ufb1f-\ufb28\ufb2a-\ufb36\ufb38-\ufb3c\ufb3e\ufb40\ufb41\ufb43\ufb44\ufb46-\ufbb1\ufbd3-\ufd3d\ufd50-\ufd8f\ufd92-\ufdc7\ufdf0-\ufdfb\ufe70-\ufe74\ufe76-\ufefc\uff21-\uff3a\uff41-\uff5a\uff66-\uffbe\uffc2-\uffc7\uffca-\uffcf\uffd2-\uffd7\uffda-\uffdc"; var nonASCIIidentifierChars = "\u0300-\u036f\u0483-\u0487\u0591-\u05bd\u05bf\u05c1\u05c2\u05c4\u05c5\u05c7\u0610-\u061a\u0620-\u0649\u0672-\u06d3\u06e7-\u06e8\u06fb-\u06fc\u0730-\u074a\u0800-\u0814\u081b-\u0823\u0825-\u0827\u0829-\u082d\u0840-\u0857\u08e4-\u08fe\u0900-\u0903\u093a-\u093c\u093e-\u094f\u0951-\u0957\u0962-\u0963\u0966-\u096f\u0981-\u0983\u09bc\u09be-\u09c4\u09c7\u09c8\u09d7\u09df-\u09e0\u0a01-\u0a03\u0a3c\u0a3e-\u0a42\u0a47\u0a48\u0a4b-\u0a4d\u0a51\u0a66-\u0a71\u0a75\u0a81-\u0a83\u0abc\u0abe-\u0ac5\u0ac7-\u0ac9\u0acb-\u0acd\u0ae2-\u0ae3\u0ae6-\u0aef\u0b01-\u0b03\u0b3c\u0b3e-\u0b44\u0b47\u0b48\u0b4b-\u0b4d\u0b56\u0b57\u0b5f-\u0b60\u0b66-\u0b6f\u0b82\u0bbe-\u0bc2\u0bc6-\u0bc8\u0bca-\u0bcd\u0bd7\u0be6-\u0bef\u0c01-\u0c03\u0c46-\u0c48\u0c4a-\u0c4d\u0c55\u0c56\u0c62-\u0c63\u0c66-\u0c6f\u0c82\u0c83\u0cbc\u0cbe-\u0cc4\u0cc6-\u0cc8\u0cca-\u0ccd\u0cd5\u0cd6\u0ce2-\u0ce3\u0ce6-\u0cef\u0d02\u0d03\u0d46-\u0d48\u0d57\u0d62-\u0d63\u0d66-\u0d6f\u0d82\u0d83\u0dca\u0dcf-\u0dd4\u0dd6\u0dd8-\u0ddf\u0df2\u0df3\u0e34-\u0e3a\u0e40-\u0e45\u0e50-\u0e59\u0eb4-\u0eb9\u0ec8-\u0ecd\u0ed0-\u0ed9\u0f18\u0f19\u0f20-\u0f29\u0f35\u0f37\u0f39\u0f41-\u0f47\u0f71-\u0f84\u0f86-\u0f87\u0f8d-\u0f97\u0f99-\u0fbc\u0fc6\u1000-\u1029\u1040-\u1049\u1067-\u106d\u1071-\u1074\u1082-\u108d\u108f-\u109d\u135d-\u135f\u170e-\u1710\u1720-\u1730\u1740-\u1750\u1772\u1773\u1780-\u17b2\u17dd\u17e0-\u17e9\u180b-\u180d\u1810-\u1819\u1920-\u192b\u1930-\u193b\u1951-\u196d\u19b0-\u19c0\u19c8-\u19c9\u19d0-\u19d9\u1a00-\u1a15\u1a20-\u1a53\u1a60-\u1a7c\u1a7f-\u1a89\u1a90-\u1a99\u1b46-\u1b4b\u1b50-\u1b59\u1b6b-\u1b73\u1bb0-\u1bb9\u1be6-\u1bf3\u1c00-\u1c22\u1c40-\u1c49\u1c5b-\u1c7d\u1cd0-\u1cd2\u1d00-\u1dbe\u1e01-\u1f15\u200c\u200d\u203f\u2040\u2054\u20d0-\u20dc\u20e1\u20e5-\u20f0\u2d81-\u2d96\u2de0-\u2dff\u3021-\u3028\u3099\u309a\ua640-\ua66d\ua674-\ua67d\ua69f\ua6f0-\ua6f1\ua7f8-\ua800\ua806\ua80b\ua823-\ua827\ua880-\ua881\ua8b4-\ua8c4\ua8d0-\ua8d9\ua8f3-\ua8f7\ua900-\ua909\ua926-\ua92d\ua930-\ua945\ua980-\ua983\ua9b3-\ua9c0\uaa00-\uaa27\uaa40-\uaa41\uaa4c-\uaa4d\uaa50-\uaa59\uaa7b\uaae0-\uaae9\uaaf2-\uaaf3\uabc0-\uabe1\uabec\uabed\uabf0-\uabf9\ufb20-\ufb28\ufe00-\ufe0f\ufe20-\ufe26\ufe33\ufe34\ufe4d-\ufe4f\uff10-\uff19\uff3f"; var nonASCIIidentifierStart = new RegExp("[" + nonASCIIidentifierStartChars + "]"); var nonASCIIidentifier = new RegExp("[" + nonASCIIidentifierStartChars + nonASCIIidentifierChars + "]"); var newline = /[\n\r\u2028\u2029]/; var lineBreak = /\r\n|[\n\r\u2028\u2029]/g; var isIdentifierStart = exports.isIdentifierStart = function(code) { if (code < 65) return code === 36; if (code < 91) return true; if (code < 97) return code === 95; if (code < 123)return true; return code >= 0xaa && nonASCIIidentifierStart.test(String.fromCharCode(code)); }; var isIdentifierChar = exports.isIdentifierChar = function(code) { if (code < 48) return code === 36; if (code < 58) return true; if (code < 65) return false; if (code < 91) return true; if (code < 97) return code === 95; if (code < 123)return true; return code >= 0xaa && nonASCIIidentifier.test(String.fromCharCode(code)); }; function line_loc_t() { this.line = tokCurLine; this.column = tokPos - tokLineStart; } function initTokenState() { tokCurLine = 1; tokPos = tokLineStart = 0; tokRegexpAllowed = true; skipSpace(); } function finishToken(type, val) { tokEnd = tokPos; if (options.locations) tokEndLoc = new line_loc_t; tokType = type; skipSpace(); tokVal = val; tokRegexpAllowed = type.beforeExpr; } function skipBlockComment() { var startLoc = options.onComment && options.locations && new line_loc_t; var start = tokPos, end = input.indexOf("*/", tokPos += 2); if (end === -1) raise(tokPos - 2, "Unterminated comment"); tokPos = end + 2; if (options.locations) { lineBreak.lastIndex = start; var match; while ((match = lineBreak.exec(input)) && match.index < tokPos) { ++tokCurLine; tokLineStart = match.index + match[0].length; } } if (options.onComment) options.onComment(true, input.slice(start + 2, end), start, tokPos, startLoc, options.locations && new line_loc_t); } function skipLineComment() { var start = tokPos; var startLoc = options.onComment && options.locations && new line_loc_t; var ch = input.charCodeAt(tokPos+=2); while (tokPos < inputLen && ch !== 10 && ch !== 13 && ch !== 8232 && ch !== 8233) { ++tokPos; ch = input.charCodeAt(tokPos); } if (options.onComment) options.onComment(false, input.slice(start + 2, tokPos), start, tokPos, startLoc, options.locations && new line_loc_t); } function skipSpace() { while (tokPos < inputLen) { var ch = input.charCodeAt(tokPos); if (ch === 32) { ++tokPos; } else if (ch === 13) { ++tokPos; var next = input.charCodeAt(tokPos); if (next === 10) { ++tokPos; } if (options.locations) { ++tokCurLine; tokLineStart = tokPos; } } else if (ch === 10 || ch === 8232 || ch === 8233) { ++tokPos; if (options.locations) { ++tokCurLine; tokLineStart = tokPos; } } else if (ch > 8 && ch < 14) { ++tokPos; } else if (ch === 47) { var next = input.charCodeAt(tokPos + 1); if (next === 42) { skipBlockComment(); } else if (next === 47) { skipLineComment(); } else break; } else if (ch === 160) { ++tokPos; } else if (ch >= 5760 && nonASCIIwhitespace.test(String.fromCharCode(ch))) { ++tokPos; } else { break; } } } function readToken_dot() { var next = input.charCodeAt(tokPos + 1); if (next >= 48 && next <= 57) return readNumber(true); ++tokPos; return finishToken(_dot); } function readToken_slash() { var next = input.charCodeAt(tokPos + 1); if (tokRegexpAllowed) {++tokPos; return readRegexp();} if (next === 61) return finishOp(_assign, 2); return finishOp(_slash, 1); } function readToken_mult_modulo() { var next = input.charCodeAt(tokPos + 1); if (next === 61) return finishOp(_assign, 2); return finishOp(_multiplyModulo, 1); } function readToken_pipe_amp(code) { var next = input.charCodeAt(tokPos + 1); if (next === code) return finishOp(code === 124 ? _logicalOR : _logicalAND, 2); if (next === 61) return finishOp(_assign, 2); return finishOp(code === 124 ? _bitwiseOR : _bitwiseAND, 1); } function readToken_caret() { var next = input.charCodeAt(tokPos + 1); if (next === 61) return finishOp(_assign, 2); return finishOp(_bitwiseXOR, 1); } function readToken_plus_min(code) { var next = input.charCodeAt(tokPos + 1); if (next === code) { if (next == 45 && input.charCodeAt(tokPos + 2) == 62 && newline.test(input.slice(lastEnd, tokPos))) { tokPos += 3; skipLineComment(); skipSpace(); return readToken(); } return finishOp(_incDec, 2); } if (next === 61) return finishOp(_assign, 2); return finishOp(_plusMin, 1); } function readToken_lt_gt(code) { var next = input.charCodeAt(tokPos + 1); var size = 1; if (next === code) { size = code === 62 && input.charCodeAt(tokPos + 2) === 62 ? 3 : 2; if (input.charCodeAt(tokPos + size) === 61) return finishOp(_assign, size + 1); return finishOp(_bitShift, size); } if (next == 33 && code == 60 && input.charCodeAt(tokPos + 2) == 45 && input.charCodeAt(tokPos + 3) == 45) { tokPos += 4; skipLineComment(); skipSpace(); return readToken(); } if (next === 61) size = input.charCodeAt(tokPos + 2) === 61 ? 3 : 2; return finishOp(_relational, size); } function readToken_eq_excl(code) { var next = input.charCodeAt(tokPos + 1); if (next === 61) return finishOp(_equality, input.charCodeAt(tokPos + 2) === 61 ? 3 : 2); return finishOp(code === 61 ? _eq : _prefix, 1); } function getTokenFromCode(code) { switch(code) { case 46: return readToken_dot(); case 40: ++tokPos; return finishToken(_parenL); case 41: ++tokPos; return finishToken(_parenR); case 59: ++tokPos; return finishToken(_semi); case 44: ++tokPos; return finishToken(_comma); case 91: ++tokPos; return finishToken(_bracketL); case 93: ++tokPos; return finishToken(_bracketR); case 123: ++tokPos; return finishToken(_braceL); case 125: ++tokPos; return finishToken(_braceR); case 58: ++tokPos; return finishToken(_colon); case 63: ++tokPos; return finishToken(_question); case 48: var next = input.charCodeAt(tokPos + 1); if (next === 120 || next === 88) return readHexNumber(); case 49: case 50: case 51: case 52: case 53: case 54: case 55: case 56: case 57: return readNumber(false); case 34: case 39: return readString(code); case 47: return readToken_slash(code); case 37: case 42: return readToken_mult_modulo(); case 124: case 38: return readToken_pipe_amp(code); case 94: return readToken_caret(); case 43: case 45: return readToken_plus_min(code); case 60: case 62: return readToken_lt_gt(code); case 61: case 33: return readToken_eq_excl(code); case 126: return finishOp(_prefix, 1); } return false; } function readToken(forceRegexp) { if (!forceRegexp) tokStart = tokPos; else tokPos = tokStart + 1; if (options.locations) tokStartLoc = new line_loc_t; if (forceRegexp) return readRegexp(); if (tokPos >= inputLen) return finishToken(_eof); var code = input.charCodeAt(tokPos); if (isIdentifierStart(code) || code === 92 ) return readWord(); var tok = getTokenFromCode(code); if (tok === false) { var ch = String.fromCharCode(code); if (ch === "\\" || nonASCIIidentifierStart.test(ch)) return readWord(); raise(tokPos, "Unexpected character '" + ch + "'"); } return tok; } function finishOp(type, size) { var str = input.slice(tokPos, tokPos + size); tokPos += size; finishToken(type, str); } function readRegexp() { var content = "", escaped, inClass, start = tokPos; for (;;) { if (tokPos >= inputLen) raise(start, "Unterminated regular expression"); var ch = input.charAt(tokPos); if (newline.test(ch)) raise(start, "Unterminated regular expression"); if (!escaped) { if (ch === "[") inClass = true; else if (ch === "]" && inClass) inClass = false; else if (ch === "/" && !inClass) break; escaped = ch === "\\"; } else escaped = false; ++tokPos; } var content = input.slice(start, tokPos); ++tokPos; var mods = readWord1(); if (mods && !/^[gmsiy]*$/.test(mods)) raise(start, "Invalid regexp flag"); try { var value = new RegExp(content, mods); } catch (e) { if (e instanceof SyntaxError) raise(start, e.message); raise(e); } return finishToken(_regexp, value); } function readInt(radix, len) { var start = tokPos, total = 0; for (var i = 0, e = len == null ? Infinity : len; i < e; ++i) { var code = input.charCodeAt(tokPos), val; if (code >= 97) val = code - 97 + 10; else if (code >= 65) val = code - 65 + 10; else if (code >= 48 && code <= 57) val = code - 48; else val = Infinity; if (val >= radix) break; ++tokPos; total = total * radix + val; } if (tokPos === start || len != null && tokPos - start !== len) return null; return total; } function readHexNumber() { tokPos += 2; var val = readInt(16); if (val == null) raise(tokStart + 2, "Expected hexadecimal number"); if (isIdentifierStart(input.charCodeAt(tokPos))) raise(tokPos, "Identifier directly after number"); return finishToken(_num, val); } function readNumber(startsWithDot) { var start = tokPos, isFloat = false, octal = input.charCodeAt(tokPos) === 48; if (!startsWithDot && readInt(10) === null) raise(start, "Invalid number"); if (input.charCodeAt(tokPos) === 46) { ++tokPos; readInt(10); isFloat = true; } var next = input.charCodeAt(tokPos); if (next === 69 || next === 101) { next = input.charCodeAt(++tokPos); if (next === 43 || next === 45) ++tokPos; if (readInt(10) === null) raise(start, "Invalid number"); isFloat = true; } if (isIdentifierStart(input.charCodeAt(tokPos))) raise(tokPos, "Identifier directly after number"); var str = input.slice(start, tokPos), val; if (isFloat) val = parseFloat(str); else if (!octal || str.length === 1) val = parseInt(str, 10); else if (/[89]/.test(str) || strict) raise(start, "Invalid number"); else val = parseInt(str, 8); return finishToken(_num, val); } function readString(quote) { tokPos++; var out = ""; for (;;) { if (tokPos >= inputLen) raise(tokStart, "Unterminated string constant"); var ch = input.charCodeAt(tokPos); if (ch === quote) { ++tokPos; return finishToken(_string, out); } if (ch === 92) { ch = input.charCodeAt(++tokPos); var octal = /^[0-7]+/.exec(input.slice(tokPos, tokPos + 3)); if (octal) octal = octal[0]; while (octal && parseInt(octal, 8) > 255) octal = octal.slice(0, -1); if (octal === "0") octal = null; ++tokPos; if (octal) { if (strict) raise(tokPos - 2, "Octal literal in strict mode"); out += String.fromCharCode(parseInt(octal, 8)); tokPos += octal.length - 1; } else { switch (ch) { case 110: out += "\n"; break; case 114: out += "\r"; break; case 120: out += String.fromCharCode(readHexChar(2)); break; case 117: out += String.fromCharCode(readHexChar(4)); break; case 85: out += String.fromCharCode(readHexChar(8)); break; case 116: out += "\t"; break; case 98: out += "\b"; break; case 118: out += "\u000b"; break; case 102: out += "\f"; break; case 48: out += "\0"; break; case 13: if (input.charCodeAt(tokPos) === 10) ++tokPos; case 10: if (options.locations) { tokLineStart = tokPos; ++tokCurLine; } break; default: out += String.fromCharCode(ch); break; } } } else { if (ch === 13 || ch === 10 || ch === 8232 || ch === 8233) raise(tokStart, "Unterminated string constant"); out += String.fromCharCode(ch); ++tokPos; } } } function readHexChar(len) { var n = readInt(16, len); if (n === null) raise(tokStart, "Bad character escape sequence"); return n; } var containsEsc; function readWord1() { containsEsc = false; var word, first = true, start = tokPos; for (;;) { var ch = input.charCodeAt(tokPos); if (isIdentifierChar(ch)) { if (containsEsc) word += input.charAt(tokPos); ++tokPos; } else if (ch === 92) { if (!containsEsc) word = input.slice(start, tokPos); containsEsc = true; if (input.charCodeAt(++tokPos) != 117) raise(tokPos, "Expecting Unicode escape sequence \\uXXXX"); ++tokPos; var esc = readHexChar(4); var escStr = String.fromCharCode(esc); if (!escStr) raise(tokPos - 1, "Invalid Unicode escape"); if (!(first ? isIdentifierStart(esc) : isIdentifierChar(esc))) raise(tokPos - 4, "Invalid Unicode escape"); word += escStr; } else { break; } first = false; } return containsEsc ? word : input.slice(start, tokPos); } function readWord() { var word = readWord1(); var type = _name; if (!containsEsc && isKeyword(word)) type = keywordTypes[word]; return finishToken(type, word); } function next() { lastStart = tokStart; lastEnd = tokEnd; lastEndLoc = tokEndLoc; readToken(); } function setStrict(strct) { strict = strct; tokPos = tokStart; if (options.locations) { while (tokPos < tokLineStart) { tokLineStart = input.lastIndexOf("\n", tokLineStart - 2) + 1; --tokCurLine; } } skipSpace(); readToken(); } function node_t() { this.type = null; this.start = tokStart; this.end = null; } function node_loc_t() { this.start = tokStartLoc; this.end = null; if (sourceFile !== null) this.source = sourceFile; } function startNode() { var node = new node_t(); if (options.locations) node.loc = new node_loc_t(); if (options.directSourceFile) node.sourceFile = options.directSourceFile; if (options.ranges) node.range = [tokStart, 0]; return node; } function startNodeFrom(other) { var node = new node_t(); node.start = other.start; if (options.locations) { node.loc = new node_loc_t(); node.loc.start = other.loc.start; } if (options.ranges) node.range = [other.range[0], 0]; return node; } function finishNode(node, type) { node.type = type; node.end = lastEnd; if (options.locations) node.loc.end = lastEndLoc; if (options.ranges) node.range[1] = lastEnd; return node; } function isUseStrict(stmt) { return options.ecmaVersion >= 5 && stmt.type === "ExpressionStatement" && stmt.expression.type === "Literal" && stmt.expression.value === "use strict"; } function eat(type) { if (tokType === type) { next(); return true; } } function canInsertSemicolon() { return !options.strictSemicolons && (tokType === _eof || tokType === _braceR || newline.test(input.slice(lastEnd, tokStart))); } function semicolon() { if (!eat(_semi) && !canInsertSemicolon()) unexpected(); } function expect(type) { if (tokType === type) next(); else unexpected(); } function unexpected() { raise(tokStart, "Unexpected token"); } function checkLVal(expr) { if (expr.type !== "Identifier" && expr.type !== "MemberExpression") raise(expr.start, "Assigning to rvalue"); if (strict && expr.type === "Identifier" && isStrictBadIdWord(expr.name)) raise(expr.start, "Assigning to " + expr.name + " in strict mode"); } function parseTopLevel(program) { lastStart = lastEnd = tokPos; if (options.locations) lastEndLoc = new line_loc_t; inFunction = strict = null; labels = []; readToken(); var node = program || startNode(), first = true; if (!program) node.body = []; while (tokType !== _eof) { var stmt = parseStatement(); node.body.push(stmt); if (first && isUseStrict(stmt)) setStrict(true); first = false; } return finishNode(node, "Program"); } var loopLabel = {kind: "loop"}, switchLabel = {kind: "switch"}; function parseStatement() { if (tokType === _slash || tokType === _assign && tokVal == "/=") readToken(true); var starttype = tokType, node = startNode(); switch (starttype) { case _break: case _continue: next(); var isBreak = starttype === _break; if (eat(_semi) || canInsertSemicolon()) node.label = null; else if (tokType !== _name) unexpected(); else { node.label = parseIdent(); semicolon(); } for (var i = 0; i < labels.length; ++i) { var lab = labels[i]; if (node.label == null || lab.name === node.label.name) { if (lab.kind != null && (isBreak || lab.kind === "loop")) break; if (node.label && isBreak) break; } } if (i === labels.length) raise(node.start, "Unsyntactic " + starttype.keyword); return finishNode(node, isBreak ? "BreakStatement" : "ContinueStatement"); case _debugger: next(); semicolon(); return finishNode(node, "DebuggerStatement"); case _do: next(); labels.push(loopLabel); node.body = parseStatement(); labels.pop(); expect(_while); node.test = parseParenExpression(); semicolon(); return finishNode(node, "DoWhileStatement"); case _for: next(); labels.push(loopLabel); expect(_parenL); if (tokType === _semi) return parseFor(node, null); if (tokType === _var) { var init = startNode(); next(); parseVar(init, true); finishNode(init, "VariableDeclaration"); if (init.declarations.length === 1 && eat(_in)) return parseForIn(node, init); return parseFor(node, init); } var init = parseExpression(false, true); if (eat(_in)) {checkLVal(init); return parseForIn(node, init);} return parseFor(node, init); case _function: next(); return parseFunction(node, true); case _if: next(); node.test = parseParenExpression(); node.consequent = parseStatement(); node.alternate = eat(_else) ? parseStatement() : null; return finishNode(node, "IfStatement"); case _return: if (!inFunction && !options.allowReturnOutsideFunction) raise(tokStart, "'return' outside of function"); next(); if (eat(_semi) || canInsertSemicolon()) node.argument = null; else { node.argument = parseExpression(); semicolon(); } return finishNode(node, "ReturnStatement"); case _switch: next(); node.discriminant = parseParenExpression(); node.cases = []; expect(_braceL); labels.push(switchLabel); for (var cur, sawDefault; tokType != _braceR;) { if (tokType === _case || tokType === _default) { var isCase = tokType === _case; if (cur) finishNode(cur, "SwitchCase"); node.cases.push(cur = startNode()); cur.consequent = []; next(); if (isCase) cur.test = parseExpression(); else { if (sawDefault) raise(lastStart, "Multiple default clauses"); sawDefault = true; cur.test = null; } expect(_colon); } else { if (!cur) unexpected(); cur.consequent.push(parseStatement()); } } if (cur) finishNode(cur, "SwitchCase"); next(); labels.pop(); return finishNode(node, "SwitchStatement"); case _throw: next(); if (newline.test(input.slice(lastEnd, tokStart))) raise(lastEnd, "Illegal newline after throw"); node.argument = parseExpression(); semicolon(); return finishNode(node, "ThrowStatement"); case _try: next(); node.block = parseBlock(); node.handler = null; if (tokType === _catch) { var clause = startNode(); next(); expect(_parenL); clause.param = parseIdent(); if (strict && isStrictBadIdWord(clause.param.name)) raise(clause.param.start, "Binding " + clause.param.name + " in strict mode"); expect(_parenR); clause.guard = null; clause.body = parseBlock(); node.handler = finishNode(clause, "CatchClause"); } node.guardedHandlers = empty; node.finalizer = eat(_finally) ? parseBlock() : null; if (!node.handler && !node.finalizer) raise(node.start, "Missing catch or finally clause"); return finishNode(node, "TryStatement"); case _var: next(); parseVar(node); semicolon(); return finishNode(node, "VariableDeclaration"); case _while: next(); node.test = parseParenExpression(); labels.push(loopLabel); node.body = parseStatement(); labels.pop(); return finishNode(node, "WhileStatement"); case _with: if (strict) raise(tokStart, "'with' in strict mode"); next(); node.object = parseParenExpression(); node.body = parseStatement(); return finishNode(node, "WithStatement"); case _braceL: return parseBlock(); case _semi: next(); return finishNode(node, "EmptyStatement"); default: var maybeName = tokVal, expr = parseExpression(); if (starttype === _name && expr.type === "Identifier" && eat(_colon)) { for (var i = 0; i < labels.length; ++i) if (labels[i].name === maybeName) raise(expr.start, "Label '" + maybeName + "' is already declared"); var kind = tokType.isLoop ? "loop" : tokType === _switch ? "switch" : null; labels.push({name: maybeName, kind: kind}); node.body = parseStatement(); labels.pop(); node.label = expr; return finishNode(node, "LabeledStatement"); } else { node.expression = expr; semicolon(); return finishNode(node, "ExpressionStatement"); } } } function parseParenExpression() { expect(_parenL); var val = parseExpression(); expect(_parenR); return val; } function parseBlock(allowStrict) { var node = startNode(), first = true, strict = false, oldStrict; node.body = []; expect(_braceL); while (!eat(_braceR)) { var stmt = parseStatement(); node.body.push(stmt); if (first && allowStrict && isUseStrict(stmt)) { oldStrict = strict; setStrict(strict = true); } first = false; } if (strict && !oldStrict) setStrict(false); return finishNode(node, "BlockStatement"); } function parseFor(node, init) { node.init = init; expect(_semi); node.test = tokType === _semi ? null : parseExpression(); expect(_semi); node.update = tokType === _parenR ? null : parseExpression(); expect(_parenR); node.body = parseStatement(); labels.pop(); return finishNode(node, "ForStatement"); } function parseForIn(node, init) { node.left = init; node.right = parseExpression(); expect(_parenR); node.body = parseStatement(); labels.pop(); return finishNode(node, "ForInStatement"); } function parseVar(node, noIn) { node.declarations = []; node.kind = "var"; for (;;) { var decl = startNode(); decl.id = parseIdent(); if (strict && isStrictBadIdWord(decl.id.name)) raise(decl.id.start, "Binding " + decl.id.name + " in strict mode"); decl.init = eat(_eq) ? parseExpression(true, noIn) : null; node.declarations.push(finishNode(decl, "VariableDeclarator")); if (!eat(_comma)) break; } return node; } function parseExpression(noComma, noIn) { var expr = parseMaybeAssign(noIn); if (!noComma && tokType === _comma) { var node = startNodeFrom(expr); node.expressions = [expr]; while (eat(_comma)) node.expressions.push(parseMaybeAssign(noIn)); return finishNode(node, "SequenceExpression"); } return expr; } function parseMaybeAssign(noIn) { var left = parseMaybeConditional(noIn); if (tokType.isAssign) { var node = startNodeFrom(left); node.operator = tokVal; node.left = left; next(); node.right = parseMaybeAssign(noIn); checkLVal(left); return finishNode(node, "AssignmentExpression"); } return left; } function parseMaybeConditional(noIn) { var expr = parseExprOps(noIn); if (eat(_question)) { var node = startNodeFrom(expr); node.test = expr; node.consequent = parseExpression(true); expect(_colon); node.alternate = parseExpression(true, noIn); return finishNode(node, "ConditionalExpression"); } return expr; } function parseExprOps(noIn) { return parseExprOp(parseMaybeUnary(), -1, noIn); } function parseExprOp(left, minPrec, noIn) { var prec = tokType.binop; if (prec != null && (!noIn || tokType !== _in)) { if (prec > minPrec) { var node = startNodeFrom(left); node.left = left; node.operator = tokVal; var op = tokType; next(); node.right = parseExprOp(parseMaybeUnary(), prec, noIn); var exprNode = finishNode(node, (op === _logicalOR || op === _logicalAND) ? "LogicalExpression" : "BinaryExpression"); return parseExprOp(exprNode, minPrec, noIn); } } return left; } function parseMaybeUnary() { if (tokType.prefix) { var node = startNode(), update = tokType.isUpdate; node.operator = tokVal; node.prefix = true; tokRegexpAllowed = true; next(); node.argument = parseMaybeUnary(); if (update) checkLVal(node.argument); else if (strict && node.operator === "delete" && node.argument.type === "Identifier") raise(node.start, "Deleting local variable in strict mode"); return finishNode(node, update ? "UpdateExpression" : "UnaryExpression"); } var expr = parseExprSubscripts(); while (tokType.postfix && !canInsertSemicolon()) { var node = startNodeFrom(expr); node.operator = tokVal; node.prefix = false; node.argument = expr; checkLVal(expr); next(); expr = finishNode(node, "UpdateExpression"); } return expr; } function parseExprSubscripts() { return parseSubscripts(parseExprAtom()); } function parseSubscripts(base, noCalls) { if (eat(_dot)) { var node = startNodeFrom(base); node.object = base; node.property = parseIdent(true); node.computed = false; return parseSubscripts(finishNode(node, "MemberExpression"), noCalls); } else if (eat(_bracketL)) { var node = startNodeFrom(base); node.object = base; node.property = parseExpression(); node.computed = true; expect(_bracketR); return parseSubscripts(finishNode(node, "MemberExpression"), noCalls); } else if (!noCalls && eat(_parenL)) { var node = startNodeFrom(base); node.callee = base; node.arguments = parseExprList(_parenR, false); return parseSubscripts(finishNode(node, "CallExpression"), noCalls); } else return base; } function parseExprAtom() { switch (tokType) { case _this: var node = startNode(); next(); return finishNode(node, "ThisExpression"); case _name: return parseIdent(); case _num: case _string: case _regexp: var node = startNode(); node.value = tokVal; node.raw = input.slice(tokStart, tokEnd); next(); return finishNode(node, "Literal"); case _null: case _true: case _false: var node = startNode(); node.value = tokType.atomValue; node.raw = tokType.keyword; next(); return finishNode(node, "Literal"); case _parenL: var tokStartLoc1 = tokStartLoc, tokStart1 = tokStart; next(); var val = parseExpression(); val.start = tokStart1; val.end = tokEnd; if (options.locations) { val.loc.start = tokStartLoc1; val.loc.end = tokEndLoc; } if (options.ranges) val.range = [tokStart1, tokEnd]; expect(_parenR); return val; case _bracketL: var node = startNode(); next(); node.elements = parseExprList(_bracketR, true, true); return finishNode(node, "ArrayExpression"); case _braceL: return parseObj(); case _function: var node = startNode(); next(); return parseFunction(node, false); case _new: return parseNew(); default: unexpected(); } } function parseNew() { var node = startNode(); next(); node.callee = parseSubscripts(parseExprAtom(), true); if (eat(_parenL)) node.arguments = parseExprList(_parenR, false); else node.arguments = empty; return finishNode(node, "NewExpression"); } function parseObj() { var node = startNode(), first = true, sawGetSet = false; node.properties = []; next(); while (!eat(_braceR)) { if (!first) { expect(_comma); if (options.allowTrailingCommas && eat(_braceR)) break; } else first = false; var prop = {key: parsePropertyName()}, isGetSet = false, kind; if (eat(_colon)) { prop.value = parseExpression(true); kind = prop.kind = "init"; } else if (options.ecmaVersion >= 5 && prop.key.type === "Identifier" && (prop.key.name === "get" || prop.key.name === "set")) { isGetSet = sawGetSet = true; kind = prop.kind = prop.key.name; prop.key = parsePropertyName(); if (tokType !== _parenL) unexpected(); prop.value = parseFunction(startNode(), false); } else unexpected(); if (prop.key.type === "Identifier" && (strict || sawGetSet)) { for (var i = 0; i < node.properties.length; ++i) { var other = node.properties[i]; if (other.key.name === prop.key.name) { var conflict = kind == other.kind || isGetSet && other.kind === "init" || kind === "init" && (other.kind === "get" || other.kind === "set"); if (conflict && !strict && kind === "init" && other.kind === "init") conflict = false; if (conflict) raise(prop.key.start, "Redefinition of property"); } } } node.properties.push(prop); } return finishNode(node, "ObjectExpression"); } function parsePropertyName() { if (tokType === _num || tokType === _string) return parseExprAtom(); return parseIdent(true); } function parseFunction(node, isStatement) { if (tokType === _name) node.id = parseIdent(); else if (isStatement) unexpected(); else node.id = null; node.params = []; var first = true; expect(_parenL); while (!eat(_parenR)) { if (!first) expect(_comma); else first = false; node.params.push(parseIdent()); } var oldInFunc = inFunction, oldLabels = labels; inFunction = true; labels = []; node.body = parseBlock(true); inFunction = oldInFunc; labels = oldLabels; if (strict || node.body.body.length && isUseStrict(node.body.body[0])) { for (var i = node.id ? -1 : 0; i < node.params.length; ++i) { var id = i < 0 ? node.id : node.params[i]; if (isStrictReservedWord(id.name) || isStrictBadIdWord(id.name)) raise(id.start, "Defining '" + id.name + "' in strict mode"); if (i >= 0) for (var j = 0; j < i; ++j) if (id.name === node.params[j].name) raise(id.start, "Argument name clash in strict mode"); } } return finishNode(node, isStatement ? "FunctionDeclaration" : "FunctionExpression"); } function parseExprList(close, allowTrailingComma, allowEmpty) { var elts = [], first = true; while (!eat(close)) { if (!first) { expect(_comma); if (allowTrailingComma && options.allowTrailingCommas && eat(close)) break; } else first = false; if (allowEmpty && tokType === _comma) elts.push(null); else elts.push(parseExpression(true)); } return elts; } function parseIdent(liberal) { var node = startNode(); if (liberal && options.forbidReserved == "everywhere") liberal = false; if (tokType === _name) { if (!liberal && (options.forbidReserved && (options.ecmaVersion === 3 ? isReservedWord3 : isReservedWord5)(tokVal) || strict && isStrictReservedWord(tokVal)) && input.slice(tokStart, tokEnd).indexOf("\\") == -1) raise(tokStart, "The keyword '" + tokVal + "' is reserved"); node.name = tokVal; } else if (liberal && tokType.keyword) { node.name = tokType.keyword; } else { unexpected(); } tokRegexpAllowed = false; next(); return finishNode(node, "Identifier"); } }); if (!acorn.version) acorn = null; } function parse(code, options) { return (global.acorn || acorn).parse(code, options); } var binaryOperators = { '+': '__add', '-': '__subtract', '*': '__multiply', '/': '__divide', '%': '__modulo', '==': '__equals', '!=': '__equals' }; var unaryOperators = { '-': '__negate', '+': '__self' }; var fields = Base.each( ['add', 'subtract', 'multiply', 'divide', 'modulo', 'equals', 'negate'], function(name) { this['__' + name] = '#' + name; }, { __self: function() { return this; } } ); Point.inject(fields); Size.inject(fields); Color.inject(fields); function __$__(left, operator, right) { var handler = binaryOperators[operator]; if (left && left[handler]) { var res = left[handler](right); return operator === '!=' ? !res : res; } switch (operator) { case '+': return left + right; case '-': return left - right; case '*': return left * right; case '/': return left / right; case '%': return left % right; case '==': return left == right; case '!=': return left != right; } } function $__(operator, value) { var handler = unaryOperators[operator]; if (value && value[handler]) return value[handler](); switch (operator) { case '+': return +value; case '-': return -value; } } function compile(code, options) { if (!code) return ''; options = options || {}; var insertions = []; function getOffset(offset) { for (var i = 0, l = insertions.length; i < l; i++) { var insertion = insertions[i]; if (insertion[0] >= offset) break; offset += insertion[1]; } return offset; } function getCode(node) { return code.substring(getOffset(node.range[0]), getOffset(node.range[1])); } function getBetween(left, right) { return code.substring(getOffset(left.range[1]), getOffset(right.range[0])); } function replaceCode(node, str) { var start = getOffset(node.range[0]), end = getOffset(node.range[1]), insert = 0; for (var i = insertions.length - 1; i >= 0; i--) { if (start > insertions[i][0]) { insert = i + 1; break; } } insertions.splice(insert, 0, [start, str.length - end + start]); code = code.substring(0, start) + str + code.substring(end); } function walkAST(node, parent) { if (!node) return; for (var key in node) { if (key === 'range' || key === 'loc') continue; var value = node[key]; if (Array.isArray(value)) { for (var i = 0, l = value.length; i < l; i++) walkAST(value[i], node); } else if (value && typeof value === 'object') { walkAST(value, node); } } switch (node.type) { case 'UnaryExpression': if (node.operator in unaryOperators && node.argument.type !== 'Literal') { var arg = getCode(node.argument); replaceCode(node, '$__("' + node.operator + '", ' + arg + ')'); } break; case 'BinaryExpression': if (node.operator in binaryOperators && node.left.type !== 'Literal') { var left = getCode(node.left), right = getCode(node.right), between = getBetween(node.left, node.right), operator = node.operator; replaceCode(node, '__$__(' + left + ',' + between.replace(new RegExp('\\' + operator), '"' + operator + '"') + ', ' + right + ')'); } break; case 'UpdateExpression': case 'AssignmentExpression': var parentType = parent && parent.type; if (!( parentType === 'ForStatement' || parentType === 'BinaryExpression' && /^[=!<>]/.test(parent.operator) || parentType === 'MemberExpression' && parent.computed )) { if (node.type === 'UpdateExpression') { var arg = getCode(node.argument), exp = '__$__(' + arg + ', "' + node.operator[0] + '", 1)', str = arg + ' = ' + exp; if (!node.prefix && (parentType === 'AssignmentExpression' || parentType === 'VariableDeclarator')) { if (getCode(parent.left || parent.id) === arg) str = exp; str = arg + '; ' + str; } replaceCode(node, str); } else { if (/^.=$/.test(node.operator) && node.left.type !== 'Literal') { var left = getCode(node.left), right = getCode(node.right), exp = left + ' = __$__(' + left + ', "' + node.operator[0] + '", ' + right + ')'; replaceCode(node, /^\(.*\)$/.test(getCode(node)) ? '(' + exp + ')' : exp); } } } break; case 'ExportDefaultDeclaration': replaceCode({ range: [node.start, node.declaration.start] }, 'module.exports = '); break; case 'ExportNamedDeclaration': var declaration = node.declaration; var specifiers = node.specifiers; if (declaration) { var declarations = declaration.declarations; if (declarations) { declarations.forEach(function(dec) { replaceCode(dec, 'module.exports.' + getCode(dec)); }); replaceCode({ range: [ node.start, declaration.start + declaration.kind.length ] }, ''); } } else if (specifiers) { var exports = specifiers.map(function(specifier) { var name = getCode(specifier); return 'module.exports.' + name + ' = ' + name + '; '; }).join(''); if (exports) { replaceCode(node, exports); } } break; } } function encodeVLQ(value) { var res = '', base64 = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'; value = (Math.abs(value) << 1) + (value < 0 ? 1 : 0); while (value || !res) { var next = value & (32 - 1); value >>= 5; if (value) next |= 32; res += base64[next]; } return res; } var url = options.url || '', agent = paper.agent, version = agent.versionNumber, offsetCode = false, sourceMaps = options.sourceMaps, source = options.source || code, lineBreaks = /\r\n|\n|\r/mg, offset = options.offset || 0, map; if (sourceMaps && (agent.chrome && version >= 30 || agent.webkit && version >= 537.76 || agent.firefox && version >= 23 || agent.node)) { if (agent.node) { offset -= 2; } else if (window && url && !window.location.href.indexOf(url)) { var html = document.getElementsByTagName('html')[0].innerHTML; offset = html.substr(0, html.indexOf(code) + 1).match( lineBreaks).length + 1; } offsetCode = offset > 0 && !( agent.chrome && version >= 36 || agent.safari && version >= 600 || agent.firefox && version >= 40 || agent.node); var mappings = ['AA' + encodeVLQ(offsetCode ? 0 : offset) + 'A']; mappings.length = (code.match(lineBreaks) || []).length + 1 + (offsetCode ? offset : 0); map = { version: 3, file: url, names:[], mappings: mappings.join(';AACA'), sourceRoot: '', sources: [url], sourcesContent: [source] }; } walkAST(parse(code, { ranges: true, preserveParens: true, sourceType: 'module' })); if (map) { if (offsetCode) { code = new Array(offset + 1).join('\n') + code; } if (/^(inline|both)$/.test(sourceMaps)) { code += "\n//# sourceMappingURL=data:application/json;base64," + self.btoa(unescape(encodeURIComponent( JSON.stringify(map)))); } code += "\n//# sourceURL=" + (url || 'paperscript'); } return { url: url, source: source, code: code, map: map }; } function execute(code, scope, options) { paper = scope; var view = scope.getView(), tool = /\btool\.\w+|\s+on(?:Key|Mouse)(?:Up|Down|Move|Drag)\b/ .test(code) && !/\bnew\s+Tool\b/.test(code) ? new Tool() : null, toolHandlers = tool ? tool._events : [], handlers = ['onFrame', 'onResize'].concat(toolHandlers), params = [], args = [], func, compiled = typeof code === 'object' ? code : compile(code, options); code = compiled.code; function expose(scope, hidden) { for (var key in scope) { if ((hidden || !/^_/.test(key)) && new RegExp('([\\b\\s\\W]|^)' + key.replace(/\$/g, '\\$') + '\\b').test(code)) { params.push(key); args.push(scope[key]); } } } expose({ __$__: __$__, $__: $__, paper: scope, view: view, tool: tool }, true); expose(scope); code = 'var module = { exports: {} }; ' + code; var exports = Base.each(handlers, function(key) { if (new RegExp('\\s+' + key + '\\b').test(code)) { params.push(key); this.push('module.exports.' + key + ' = ' + key + ';'); } }, []).join('\n'); if (exports) { code += '\n' + exports; } code += '\nreturn module.exports;'; var agent = paper.agent; if (document && (agent.chrome || agent.firefox && agent.versionNumber < 40)) { var script = document.createElement('script'), head = document.head || document.getElementsByTagName('head')[0]; if (agent.firefox) code = '\n' + code; script.appendChild(document.createTextNode( 'document.__paperscript__ = function(' + params + ') {' + code + '\n}' )); head.appendChild(script); func = document.__paperscript__; delete document.__paperscript__; head.removeChild(script); } else { func = Function(params, code); } var exports = func && func.apply(scope, args); var obj = exports || {}; Base.each(toolHandlers, function(key) { var value = obj[key]; if (value) tool[key] = value; }); if (view) { if (obj.onResize) view.setOnResize(obj.onResize); view.emit('resize', { size: view.size, delta: new Point() }); if (obj.onFrame) view.setOnFrame(obj.onFrame); view.requestUpdate(); } return exports; } function loadScript(script) { if (/^text\/(?:x-|)paperscript$/.test(script.type) && PaperScope.getAttribute(script, 'ignore') !== 'true') { var canvasId = PaperScope.getAttribute(script, 'canvas'), canvas = document.getElementById(canvasId), src = script.src || script.getAttribute('data-src'), async = PaperScope.hasAttribute(script, 'async'), scopeAttribute = 'data-paper-scope'; if (!canvas) throw new Error('Unable to find canvas with id "' + canvasId + '"'); var scope = PaperScope.get(canvas.getAttribute(scopeAttribute)) || new PaperScope().setup(canvas); canvas.setAttribute(scopeAttribute, scope._id); if (src) { Http.request({ url: src, async: async, mimeType: 'text/plain', onLoad: function(code) { execute(code, scope, src); } }); } else { execute(script.innerHTML, scope, script.baseURI); } script.setAttribute('data-paper-ignore', 'true'); return scope; } } function loadAll() { Base.each(document && document.getElementsByTagName('script'), loadScript); } function load(script) { return script ? loadScript(script) : loadAll(); } if (window) { if (document.readyState === 'complete') { setTimeout(loadAll); } else { DomEvent.add(window, { load: loadAll }); } } return { compile: compile, execute: execute, load: load, parse: parse }; }.call(this); var paper = new (PaperScope.inject(Base.exports, { Base: Base, Numerical: Numerical, Key: Key, DomEvent: DomEvent, DomElement: DomElement, document: document, window: window, Symbol: SymbolDefinition, PlacedSymbol: SymbolItem }))(); if (paper.agent.node) { __webpack_require__(/*! ./node/extend.js */ 9)(paper); } if (true) { !(__WEBPACK_AMD_DEFINE_FACTORY__ = (paper), __WEBPACK_AMD_DEFINE_RESULT__ = (typeof __WEBPACK_AMD_DEFINE_FACTORY__ === 'function' ? (__WEBPACK_AMD_DEFINE_FACTORY__.call(exports, __webpack_require__, exports, module)) : __WEBPACK_AMD_DEFINE_FACTORY__), __WEBPACK_AMD_DEFINE_RESULT__ !== undefined && (module.exports = __WEBPACK_AMD_DEFINE_RESULT__)); } else {} return paper; }.call(this, typeof self === 'object' ? self : null); /***/ }), /***/ "./node_modules/acorn/dist/acorn.mjs": /*!*******************************************!*\ !*** ./node_modules/acorn/dist/acorn.mjs ***! \*******************************************/ /*! exports provided: Node, Parser, Position, SourceLocation, TokContext, Token, TokenType, defaultOptions, getLineInfo, isIdentifierChar, isIdentifierStart, isNewLine, keywordTypes, lineBreak, lineBreakG, nonASCIIwhitespace, parse, parseExpressionAt, tokContexts, tokTypes, tokenizer, version */ /***/ (function(__webpack_module__, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "Node", function() { return Node; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "Parser", function() { return Parser; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "Position", function() { return Position; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "SourceLocation", function() { return SourceLocation; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "TokContext", function() { return TokContext; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "Token", function() { return Token; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "TokenType", function() { return TokenType; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "defaultOptions", function() { return defaultOptions; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "getLineInfo", function() { return getLineInfo; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "isIdentifierChar", function() { return isIdentifierChar; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "isIdentifierStart", function() { return isIdentifierStart; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "isNewLine", function() { return isNewLine; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "keywordTypes", function() { return keywords$1; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "lineBreak", function() { return lineBreak; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "lineBreakG", function() { return lineBreakG; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "nonASCIIwhitespace", function() { return nonASCIIwhitespace; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "parse", function() { return parse; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "parseExpressionAt", function() { return parseExpressionAt; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "tokContexts", function() { return types$1; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "tokTypes", function() { return types; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "tokenizer", function() { return tokenizer; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "version", function() { return version; }); // Reserved word lists for various dialects of the language var reservedWords = { 3: "abstract boolean byte char class double enum export extends final float goto implements import int interface long native package private protected public short static super synchronized throws transient volatile", 5: "class enum extends super const export import", 6: "enum", strict: "implements interface let package private protected public static yield", strictBind: "eval arguments" }; // And the keywords var ecma5AndLessKeywords = "break case catch continue debugger default do else finally for function if return switch throw try var while with null true false instanceof typeof void delete new in this"; var keywords = { 5: ecma5AndLessKeywords, "5module": ecma5AndLessKeywords + " export import", 6: ecma5AndLessKeywords + " const class extends export import super" }; var keywordRelationalOperator = /^in(stanceof)?$/; // ## Character categories // Big ugly regular expressions that match characters in the // whitespace, identifier, and identifier-start categories. These // are only applied when a character is found to actually have a // code point above 128. // Generated by `bin/generate-identifier-regex.js`. var nonASCIIidentifierStartChars = "\xaa\xb5\xba\xc0-\xd6\xd8-\xf6\xf8-\u02c1\u02c6-\u02d1\u02e0-\u02e4\u02ec\u02ee\u0370-\u0374\u0376\u0377\u037a-\u037d\u037f\u0386\u0388-\u038a\u038c\u038e-\u03a1\u03a3-\u03f5\u03f7-\u0481\u048a-\u052f\u0531-\u0556\u0559\u0560-\u0588\u05d0-\u05ea\u05ef-\u05f2\u0620-\u064a\u066e\u066f\u0671-\u06d3\u06d5\u06e5\u06e6\u06ee\u06ef\u06fa-\u06fc\u06ff\u0710\u0712-\u072f\u074d-\u07a5\u07b1\u07ca-\u07ea\u07f4\u07f5\u07fa\u0800-\u0815\u081a\u0824\u0828\u0840-\u0858\u0860-\u086a\u08a0-\u08b4\u08b6-\u08bd\u0904-\u0939\u093d\u0950\u0958-\u0961\u0971-\u0980\u0985-\u098c\u098f\u0990\u0993-\u09a8\u09aa-\u09b0\u09b2\u09b6-\u09b9\u09bd\u09ce\u09dc\u09dd\u09df-\u09e1\u09f0\u09f1\u09fc\u0a05-\u0a0a\u0a0f\u0a10\u0a13-\u0a28\u0a2a-\u0a30\u0a32\u0a33\u0a35\u0a36\u0a38\u0a39\u0a59-\u0a5c\u0a5e\u0a72-\u0a74\u0a85-\u0a8d\u0a8f-\u0a91\u0a93-\u0aa8\u0aaa-\u0ab0\u0ab2\u0ab3\u0ab5-\u0ab9\u0abd\u0ad0\u0ae0\u0ae1\u0af9\u0b05-\u0b0c\u0b0f\u0b10\u0b13-\u0b28\u0b2a-\u0b30\u0b32\u0b33\u0b35-\u0b39\u0b3d\u0b5c\u0b5d\u0b5f-\u0b61\u0b71\u0b83\u0b85-\u0b8a\u0b8e-\u0b90\u0b92-\u0b95\u0b99\u0b9a\u0b9c\u0b9e\u0b9f\u0ba3\u0ba4\u0ba8-\u0baa\u0bae-\u0bb9\u0bd0\u0c05-\u0c0c\u0c0e-\u0c10\u0c12-\u0c28\u0c2a-\u0c39\u0c3d\u0c58-\u0c5a\u0c60\u0c61\u0c80\u0c85-\u0c8c\u0c8e-\u0c90\u0c92-\u0ca8\u0caa-\u0cb3\u0cb5-\u0cb9\u0cbd\u0cde\u0ce0\u0ce1\u0cf1\u0cf2\u0d05-\u0d0c\u0d0e-\u0d10\u0d12-\u0d3a\u0d3d\u0d4e\u0d54-\u0d56\u0d5f-\u0d61\u0d7a-\u0d7f\u0d85-\u0d96\u0d9a-\u0db1\u0db3-\u0dbb\u0dbd\u0dc0-\u0dc6\u0e01-\u0e30\u0e32\u0e33\u0e40-\u0e46\u0e81\u0e82\u0e84\u0e86-\u0e8a\u0e8c-\u0ea3\u0ea5\u0ea7-\u0eb0\u0eb2\u0eb3\u0ebd\u0ec0-\u0ec4\u0ec6\u0edc-\u0edf\u0f00\u0f40-\u0f47\u0f49-\u0f6c\u0f88-\u0f8c\u1000-\u102a\u103f\u1050-\u1055\u105a-\u105d\u1061\u1065\u1066\u106e-\u1070\u1075-\u1081\u108e\u10a0-\u10c5\u10c7\u10cd\u10d0-\u10fa\u10fc-\u1248\u124a-\u124d\u1250-\u1256\u1258\u125a-\u125d\u1260-\u1288\u128a-\u128d\u1290-\u12b0\u12b2-\u12b5\u12b8-\u12be\u12c0\u12c2-\u12c5\u12c8-\u12d6\u12d8-\u1310\u1312-\u1315\u1318-\u135a\u1380-\u138f\u13a0-\u13f5\u13f8-\u13fd\u1401-\u166c\u166f-\u167f\u1681-\u169a\u16a0-\u16ea\u16ee-\u16f8\u1700-\u170c\u170e-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176c\u176e-\u1770\u1780-\u17b3\u17d7\u17dc\u1820-\u1878\u1880-\u18a8\u18aa\u18b0-\u18f5\u1900-\u191e\u1950-\u196d\u1970-\u1974\u1980-\u19ab\u19b0-\u19c9\u1a00-\u1a16\u1a20-\u1a54\u1aa7\u1b05-\u1b33\u1b45-\u1b4b\u1b83-\u1ba0\u1bae\u1baf\u1bba-\u1be5\u1c00-\u1c23\u1c4d-\u1c4f\u1c5a-\u1c7d\u1c80-\u1c88\u1c90-\u1cba\u1cbd-\u1cbf\u1ce9-\u1cec\u1cee-\u1cf3\u1cf5\u1cf6\u1cfa\u1d00-\u1dbf\u1e00-\u1f15\u1f18-\u1f1d\u1f20-\u1f45\u1f48-\u1f4d\u1f50-\u1f57\u1f59\u1f5b\u1f5d\u1f5f-\u1f7d\u1f80-\u1fb4\u1fb6-\u1fbc\u1fbe\u1fc2-\u1fc4\u1fc6-\u1fcc\u1fd0-\u1fd3\u1fd6-\u1fdb\u1fe0-\u1fec\u1ff2-\u1ff4\u1ff6-\u1ffc\u2071\u207f\u2090-\u209c\u2102\u2107\u210a-\u2113\u2115\u2118-\u211d\u2124\u2126\u2128\u212a-\u2139\u213c-\u213f\u2145-\u2149\u214e\u2160-\u2188\u2c00-\u2c2e\u2c30-\u2c5e\u2c60-\u2ce4\u2ceb-\u2cee\u2cf2\u2cf3\u2d00-\u2d25\u2d27\u2d2d\u2d30-\u2d67\u2d6f\u2d80-\u2d96\u2da0-\u2da6\u2da8-\u2dae\u2db0-\u2db6\u2db8-\u2dbe\u2dc0-\u2dc6\u2dc8-\u2dce\u2dd0-\u2dd6\u2dd8-\u2dde\u3005-\u3007\u3021-\u3029\u3031-\u3035\u3038-\u303c\u3041-\u3096\u309b-\u309f\u30a1-\u30fa\u30fc-\u30ff\u3105-\u312f\u3131-\u318e\u31a0-\u31ba\u31f0-\u31ff\u3400-\u4db5\u4e00-\u9fef\ua000-\ua48c\ua4d0-\ua4fd\ua500-\ua60c\ua610-\ua61f\ua62a\ua62b\ua640-\ua66e\ua67f-\ua69d\ua6a0-\ua6ef\ua717-\ua71f\ua722-\ua788\ua78b-\ua7bf\ua7c2-\ua7c6\ua7f7-\ua801\ua803-\ua805\ua807-\ua80a\ua80c-\ua822\ua840-\ua873\ua882-\ua8b3\ua8f2-\ua8f7\ua8fb\ua8fd\ua8fe\ua90a-\ua925\ua930-\ua946\ua960-\ua97c\ua984-\ua9b2\ua9cf\ua9e0-\ua9e4\ua9e6-\ua9ef\ua9fa-\ua9fe\uaa00-\uaa28\uaa40-\uaa42\uaa44-\uaa4b\uaa60-\uaa76\uaa7a\uaa7e-\uaaaf\uaab1\uaab5\uaab6\uaab9-\uaabd\uaac0\uaac2\uaadb-\uaadd\uaae0-\uaaea\uaaf2-\uaaf4\uab01-\uab06\uab09-\uab0e\uab11-\uab16\uab20-\uab26\uab28-\uab2e\uab30-\uab5a\uab5c-\uab67\uab70-\uabe2\uac00-\ud7a3\ud7b0-\ud7c6\ud7cb-\ud7fb\uf900-\ufa6d\ufa70-\ufad9\ufb00-\ufb06\ufb13-\ufb17\ufb1d\ufb1f-\ufb28\ufb2a-\ufb36\ufb38-\ufb3c\ufb3e\ufb40\ufb41\ufb43\ufb44\ufb46-\ufbb1\ufbd3-\ufd3d\ufd50-\ufd8f\ufd92-\ufdc7\ufdf0-\ufdfb\ufe70-\ufe74\ufe76-\ufefc\uff21-\uff3a\uff41-\uff5a\uff66-\uffbe\uffc2-\uffc7\uffca-\uffcf\uffd2-\uffd7\uffda-\uffdc"; var nonASCIIidentifierChars = "\u200c\u200d\xb7\u0300-\u036f\u0387\u0483-\u0487\u0591-\u05bd\u05bf\u05c1\u05c2\u05c4\u05c5\u05c7\u0610-\u061a\u064b-\u0669\u0670\u06d6-\u06dc\u06df-\u06e4\u06e7\u06e8\u06ea-\u06ed\u06f0-\u06f9\u0711\u0730-\u074a\u07a6-\u07b0\u07c0-\u07c9\u07eb-\u07f3\u07fd\u0816-\u0819\u081b-\u0823\u0825-\u0827\u0829-\u082d\u0859-\u085b\u08d3-\u08e1\u08e3-\u0903\u093a-\u093c\u093e-\u094f\u0951-\u0957\u0962\u0963\u0966-\u096f\u0981-\u0983\u09bc\u09be-\u09c4\u09c7\u09c8\u09cb-\u09cd\u09d7\u09e2\u09e3\u09e6-\u09ef\u09fe\u0a01-\u0a03\u0a3c\u0a3e-\u0a42\u0a47\u0a48\u0a4b-\u0a4d\u0a51\u0a66-\u0a71\u0a75\u0a81-\u0a83\u0abc\u0abe-\u0ac5\u0ac7-\u0ac9\u0acb-\u0acd\u0ae2\u0ae3\u0ae6-\u0aef\u0afa-\u0aff\u0b01-\u0b03\u0b3c\u0b3e-\u0b44\u0b47\u0b48\u0b4b-\u0b4d\u0b56\u0b57\u0b62\u0b63\u0b66-\u0b6f\u0b82\u0bbe-\u0bc2\u0bc6-\u0bc8\u0bca-\u0bcd\u0bd7\u0be6-\u0bef\u0c00-\u0c04\u0c3e-\u0c44\u0c46-\u0c48\u0c4a-\u0c4d\u0c55\u0c56\u0c62\u0c63\u0c66-\u0c6f\u0c81-\u0c83\u0cbc\u0cbe-\u0cc4\u0cc6-\u0cc8\u0cca-\u0ccd\u0cd5\u0cd6\u0ce2\u0ce3\u0ce6-\u0cef\u0d00-\u0d03\u0d3b\u0d3c\u0d3e-\u0d44\u0d46-\u0d48\u0d4a-\u0d4d\u0d57\u0d62\u0d63\u0d66-\u0d6f\u0d82\u0d83\u0dca\u0dcf-\u0dd4\u0dd6\u0dd8-\u0ddf\u0de6-\u0def\u0df2\u0df3\u0e31\u0e34-\u0e3a\u0e47-\u0e4e\u0e50-\u0e59\u0eb1\u0eb4-\u0ebc\u0ec8-\u0ecd\u0ed0-\u0ed9\u0f18\u0f19\u0f20-\u0f29\u0f35\u0f37\u0f39\u0f3e\u0f3f\u0f71-\u0f84\u0f86\u0f87\u0f8d-\u0f97\u0f99-\u0fbc\u0fc6\u102b-\u103e\u1040-\u1049\u1056-\u1059\u105e-\u1060\u1062-\u1064\u1067-\u106d\u1071-\u1074\u1082-\u108d\u108f-\u109d\u135d-\u135f\u1369-\u1371\u1712-\u1714\u1732-\u1734\u1752\u1753\u1772\u1773\u17b4-\u17d3\u17dd\u17e0-\u17e9\u180b-\u180d\u1810-\u1819\u18a9\u1920-\u192b\u1930-\u193b\u1946-\u194f\u19d0-\u19da\u1a17-\u1a1b\u1a55-\u1a5e\u1a60-\u1a7c\u1a7f-\u1a89\u1a90-\u1a99\u1ab0-\u1abd\u1b00-\u1b04\u1b34-\u1b44\u1b50-\u1b59\u1b6b-\u1b73\u1b80-\u1b82\u1ba1-\u1bad\u1bb0-\u1bb9\u1be6-\u1bf3\u1c24-\u1c37\u1c40-\u1c49\u1c50-\u1c59\u1cd0-\u1cd2\u1cd4-\u1ce8\u1ced\u1cf4\u1cf7-\u1cf9\u1dc0-\u1df9\u1dfb-\u1dff\u203f\u2040\u2054\u20d0-\u20dc\u20e1\u20e5-\u20f0\u2cef-\u2cf1\u2d7f\u2de0-\u2dff\u302a-\u302f\u3099\u309a\ua620-\ua629\ua66f\ua674-\ua67d\ua69e\ua69f\ua6f0\ua6f1\ua802\ua806\ua80b\ua823-\ua827\ua880\ua881\ua8b4-\ua8c5\ua8d0-\ua8d9\ua8e0-\ua8f1\ua8ff-\ua909\ua926-\ua92d\ua947-\ua953\ua980-\ua983\ua9b3-\ua9c0\ua9d0-\ua9d9\ua9e5\ua9f0-\ua9f9\uaa29-\uaa36\uaa43\uaa4c\uaa4d\uaa50-\uaa59\uaa7b-\uaa7d\uaab0\uaab2-\uaab4\uaab7\uaab8\uaabe\uaabf\uaac1\uaaeb-\uaaef\uaaf5\uaaf6\uabe3-\uabea\uabec\uabed\uabf0-\uabf9\ufb1e\ufe00-\ufe0f\ufe20-\ufe2f\ufe33\ufe34\ufe4d-\ufe4f\uff10-\uff19\uff3f"; var nonASCIIidentifierStart = new RegExp("[" + nonASCIIidentifierStartChars + "]"); var nonASCIIidentifier = new RegExp("[" + nonASCIIidentifierStartChars + nonASCIIidentifierChars + "]"); nonASCIIidentifierStartChars = nonASCIIidentifierChars = null; // These are a run-length and offset encoded representation of the // >0xffff code points that are a valid part of identifiers. The // offset starts at 0x10000, and each pair of numbers represents an // offset to the next range, and then a size of the range. They were // generated by bin/generate-identifier-regex.js // eslint-disable-next-line comma-spacing var astralIdentifierStartCodes = [0,11,2,25,2,18,2,1,2,14,3,13,35,122,70,52,268,28,4,48,48,31,14,29,6,37,11,29,3,35,5,7,2,4,43,157,19,35,5,35,5,39,9,51,157,310,10,21,11,7,153,5,3,0,2,43,2,1,4,0,3,22,11,22,10,30,66,18,2,1,11,21,11,25,71,55,7,1,65,0,16,3,2,2,2,28,43,28,4,28,36,7,2,27,28,53,11,21,11,18,14,17,111,72,56,50,14,50,14,35,477,28,11,0,9,21,155,22,13,52,76,44,33,24,27,35,30,0,12,34,4,0,13,47,15,3,22,0,2,0,36,17,2,24,85,6,2,0,2,3,2,14,2,9,8,46,39,7,3,1,3,21,2,6,2,1,2,4,4,0,19,0,13,4,159,52,19,3,21,0,33,47,21,1,2,0,185,46,42,3,37,47,21,0,60,42,14,0,72,26,230,43,117,63,32,0,161,7,3,38,17,0,2,0,29,0,11,39,8,0,22,0,12,45,20,0,35,56,264,8,2,36,18,0,50,29,113,6,2,1,2,37,22,0,26,5,2,1,2,31,15,0,328,18,270,921,103,110,18,195,2749,1070,4050,582,8634,568,8,30,114,29,19,47,17,3,32,20,6,18,689,63,129,74,6,0,67,12,65,1,2,0,29,6135,9,754,9486,286,50,2,18,3,9,395,2309,106,6,12,4,8,8,9,5991,84,2,70,2,1,3,0,3,1,3,3,2,11,2,0,2,6,2,64,2,3,3,7,2,6,2,27,2,3,2,4,2,0,4,6,2,339,3,24,2,24,2,30,2,24,2,30,2,24,2,30,2,24,2,30,2,24,2,7,2357,44,11,6,17,0,370,43,1301,196,60,67,8,0,1205,3,2,26,2,1,2,0,3,0,2,9,2,3,2,0,2,0,7,0,5,0,2,0,2,0,2,2,2,1,2,0,3,0,2,0,2,0,2,0,2,0,2,1,2,0,3,3,2,6,2,3,2,3,2,0,2,9,2,16,6,2,2,4,2,16,4421,42710,42,4148,12,221,3,5761,15,7472,3104,541]; // eslint-disable-next-line comma-spacing var astralIdentifierCodes = [509,0,227,0,150,4,294,9,1368,2,2,1,6,3,41,2,5,0,166,1,574,3,9,9,525,10,176,2,54,14,32,9,16,3,46,10,54,9,7,2,37,13,2,9,6,1,45,0,13,2,49,13,9,3,4,9,83,11,7,0,161,11,6,9,7,3,56,1,2,6,3,1,3,2,10,0,11,1,3,6,4,4,193,17,10,9,5,0,82,19,13,9,214,6,3,8,28,1,83,16,16,9,82,12,9,9,84,14,5,9,243,14,166,9,232,6,3,6,4,0,29,9,41,6,2,3,9,0,10,10,47,15,406,7,2,7,17,9,57,21,2,13,123,5,4,0,2,1,2,6,2,0,9,9,49,4,2,1,2,4,9,9,330,3,19306,9,135,4,60,6,26,9,1014,0,2,54,8,3,19723,1,5319,4,4,5,9,7,3,6,31,3,149,2,1418,49,513,54,5,49,9,0,15,0,23,4,2,14,1361,6,2,16,3,6,2,1,2,4,262,6,10,9,419,13,1495,6,110,6,6,9,792487,239]; // This has a complexity linear to the value of the code. The // assumption is that looking up astral identifier characters is // rare. function isInAstralSet(code, set) { var pos = 0x10000; for (var i = 0; i < set.length; i += 2) { pos += set[i]; if (pos > code) { return false } pos += set[i + 1]; if (pos >= code) { return true } } } // Test whether a given character code starts an identifier. function isIdentifierStart(code, astral) { if (code < 65) { return code === 36 } if (code < 91) { return true } if (code < 97) { return code === 95 } if (code < 123) { return true } if (code <= 0xffff) { return code >= 0xaa && nonASCIIidentifierStart.test(String.fromCharCode(code)) } if (astral === false) { return false } return isInAstralSet(code, astralIdentifierStartCodes) } // Test whether a given character is part of an identifier. function isIdentifierChar(code, astral) { if (code < 48) { return code === 36 } if (code < 58) { return true } if (code < 65) { return false } if (code < 91) { return true } if (code < 97) { return code === 95 } if (code < 123) { return true } if (code <= 0xffff) { return code >= 0xaa && nonASCIIidentifier.test(String.fromCharCode(code)) } if (astral === false) { return false } return isInAstralSet(code, astralIdentifierStartCodes) || isInAstralSet(code, astralIdentifierCodes) } // ## Token types // The assignment of fine-grained, information-carrying type objects // allows the tokenizer to store the information it has about a // token in a way that is very cheap for the parser to look up. // All token type variables start with an underscore, to make them // easy to recognize. // The `beforeExpr` property is used to disambiguate between regular // expressions and divisions. It is set on all token types that can // be followed by an expression (thus, a slash after them would be a // regular expression). // // The `startsExpr` property is used to check if the token ends a // `yield` expression. It is set on all token types that either can // directly start an expression (like a quotation mark) or can // continue an expression (like the body of a string). // // `isLoop` marks a keyword as starting a loop, which is important // to know when parsing a label, in order to allow or disallow // continue jumps to that label. var TokenType = function TokenType(label, conf) { if ( conf === void 0 ) conf = {}; this.label = label; this.keyword = conf.keyword; this.beforeExpr = !!conf.beforeExpr; this.startsExpr = !!conf.startsExpr; this.isLoop = !!conf.isLoop; this.isAssign = !!conf.isAssign; this.prefix = !!conf.prefix; this.postfix = !!conf.postfix; this.binop = conf.binop || null; this.updateContext = null; }; function binop(name, prec) { return new TokenType(name, {beforeExpr: true, binop: prec}) } var beforeExpr = {beforeExpr: true}, startsExpr = {startsExpr: true}; // Map keyword names to token types. var keywords$1 = {}; // Succinct definitions of keyword token types function kw(name, options) { if ( options === void 0 ) options = {}; options.keyword = name; return keywords$1[name] = new TokenType(name, options) } var types = { num: new TokenType("num", startsExpr), regexp: new TokenType("regexp", startsExpr), string: new TokenType("string", startsExpr), name: new TokenType("name", startsExpr), eof: new TokenType("eof"), // Punctuation token types. bracketL: new TokenType("[", {beforeExpr: true, startsExpr: true}), bracketR: new TokenType("]"), braceL: new TokenType("{", {beforeExpr: true, startsExpr: true}), braceR: new TokenType("}"), parenL: new TokenType("(", {beforeExpr: true, startsExpr: true}), parenR: new TokenType(")"), comma: new TokenType(",", beforeExpr), semi: new TokenType(";", beforeExpr), colon: new TokenType(":", beforeExpr), dot: new TokenType("."), question: new TokenType("?", beforeExpr), arrow: new TokenType("=>", beforeExpr), template: new TokenType("template"), invalidTemplate: new TokenType("invalidTemplate"), ellipsis: new TokenType("...", beforeExpr), backQuote: new TokenType("`", startsExpr), dollarBraceL: new TokenType("${", {beforeExpr: true, startsExpr: true}), // Operators. These carry several kinds of properties to help the // parser use them properly (the presence of these properties is // what categorizes them as operators). // // `binop`, when present, specifies that this operator is a binary // operator, and will refer to its precedence. // // `prefix` and `postfix` mark the operator as a prefix or postfix // unary operator. // // `isAssign` marks all of `=`, `+=`, `-=` etcetera, which act as // binary operators with a very low precedence, that should result // in AssignmentExpression nodes. eq: new TokenType("=", {beforeExpr: true, isAssign: true}), assign: new TokenType("_=", {beforeExpr: true, isAssign: true}), incDec: new TokenType("++/--", {prefix: true, postfix: true, startsExpr: true}), prefix: new TokenType("!/~", {beforeExpr: true, prefix: true, startsExpr: true}), logicalOR: binop("||", 1), logicalAND: binop("&&", 2), bitwiseOR: binop("|", 3), bitwiseXOR: binop("^", 4), bitwiseAND: binop("&", 5), equality: binop("==/!=/===/!==", 6), relational: binop("/<=/>=", 7), bitShift: binop("<>/>>>", 8), plusMin: new TokenType("+/-", {beforeExpr: true, binop: 9, prefix: true, startsExpr: true}), modulo: binop("%", 10), star: binop("*", 10), slash: binop("/", 10), starstar: new TokenType("**", {beforeExpr: true}), // Keyword token types. _break: kw("break"), _case: kw("case", beforeExpr), _catch: kw("catch"), _continue: kw("continue"), _debugger: kw("debugger"), _default: kw("default", beforeExpr), _do: kw("do", {isLoop: true, beforeExpr: true}), _else: kw("else", beforeExpr), _finally: kw("finally"), _for: kw("for", {isLoop: true}), _function: kw("function", startsExpr), _if: kw("if"), _return: kw("return", beforeExpr), _switch: kw("switch"), _throw: kw("throw", beforeExpr), _try: kw("try"), _var: kw("var"), _const: kw("const"), _while: kw("while", {isLoop: true}), _with: kw("with"), _new: kw("new", {beforeExpr: true, startsExpr: true}), _this: kw("this", startsExpr), _super: kw("super", startsExpr), _class: kw("class", startsExpr), _extends: kw("extends", beforeExpr), _export: kw("export"), _import: kw("import", startsExpr), _null: kw("null", startsExpr), _true: kw("true", startsExpr), _false: kw("false", startsExpr), _in: kw("in", {beforeExpr: true, binop: 7}), _instanceof: kw("instanceof", {beforeExpr: true, binop: 7}), _typeof: kw("typeof", {beforeExpr: true, prefix: true, startsExpr: true}), _void: kw("void", {beforeExpr: true, prefix: true, startsExpr: true}), _delete: kw("delete", {beforeExpr: true, prefix: true, startsExpr: true}) }; // Matches a whole line break (where CRLF is considered a single // line break). Used to count lines. var lineBreak = /\r\n?|\n|\u2028|\u2029/; var lineBreakG = new RegExp(lineBreak.source, "g"); function isNewLine(code, ecma2019String) { return code === 10 || code === 13 || (!ecma2019String && (code === 0x2028 || code === 0x2029)) } var nonASCIIwhitespace = /[\u1680\u2000-\u200a\u202f\u205f\u3000\ufeff]/; var skipWhiteSpace = /(?:\s|\/\/.*|\/\*[^]*?\*\/)*/g; var ref = Object.prototype; var hasOwnProperty = ref.hasOwnProperty; var toString = ref.toString; // Checks if an object has a property. function has(obj, propName) { return hasOwnProperty.call(obj, propName) } var isArray = Array.isArray || (function (obj) { return ( toString.call(obj) === "[object Array]" ); }); function wordsRegexp(words) { return new RegExp("^(?:" + words.replace(/ /g, "|") + ")$") } // These are used when `options.locations` is on, for the // `startLoc` and `endLoc` properties. var Position = function Position(line, col) { this.line = line; this.column = col; }; Position.prototype.offset = function offset (n) { return new Position(this.line, this.column + n) }; var SourceLocation = function SourceLocation(p, start, end) { this.start = start; this.end = end; if (p.sourceFile !== null) { this.source = p.sourceFile; } }; // The `getLineInfo` function is mostly useful when the // `locations` option is off (for performance reasons) and you // want to find the line/column position for a given character // offset. `input` should be the code string that the offset refers // into. function getLineInfo(input, offset) { for (var line = 1, cur = 0;;) { lineBreakG.lastIndex = cur; var match = lineBreakG.exec(input); if (match && match.index < offset) { ++line; cur = match.index + match[0].length; } else { return new Position(line, offset - cur) } } } // A second optional argument can be given to further configure // the parser process. These options are recognized: var defaultOptions = { // `ecmaVersion` indicates the ECMAScript version to parse. Must be // either 3, 5, 6 (2015), 7 (2016), 8 (2017), 9 (2018), or 10 // (2019). This influences support for strict mode, the set of // reserved words, and support for new syntax features. The default // is 9. ecmaVersion: 9, // `sourceType` indicates the mode the code should be parsed in. // Can be either `"script"` or `"module"`. This influences global // strict mode and parsing of `import` and `export` declarations. sourceType: "script", // `onInsertedSemicolon` can be a callback that will be called // when a semicolon is automatically inserted. It will be passed // the position of the comma as an offset, and if `locations` is // enabled, it is given the location as a `{line, column}` object // as second argument. onInsertedSemicolon: null, // `onTrailingComma` is similar to `onInsertedSemicolon`, but for // trailing commas. onTrailingComma: null, // By default, reserved words are only enforced if ecmaVersion >= 5. // Set `allowReserved` to a boolean value to explicitly turn this on // an off. When this option has the value "never", reserved words // and keywords can also not be used as property names. allowReserved: null, // When enabled, a return at the top level is not considered an // error. allowReturnOutsideFunction: false, // When enabled, import/export statements are not constrained to // appearing at the top of the program. allowImportExportEverywhere: false, // When enabled, await identifiers are allowed to appear at the top-level scope, // but they are still not allowed in non-async functions. allowAwaitOutsideFunction: false, // When enabled, hashbang directive in the beginning of file // is allowed and treated as a line comment. allowHashBang: false, // When `locations` is on, `loc` properties holding objects with // `start` and `end` properties in `{line, column}` form (with // line being 1-based and column 0-based) will be attached to the // nodes. locations: false, // A function can be passed as `onToken` option, which will // cause Acorn to call that function with object in the same // format as tokens returned from `tokenizer().getToken()`. Note // that you are not allowed to call the parser from the // callback—that will corrupt its internal state. onToken: null, // A function can be passed as `onComment` option, which will // cause Acorn to call that function with `(block, text, start, // end)` parameters whenever a comment is skipped. `block` is a // boolean indicating whether this is a block (`/* */`) comment, // `text` is the content of the comment, and `start` and `end` are // character offsets that denote the start and end of the comment. // When the `locations` option is on, two more parameters are // passed, the full `{line, column}` locations of the start and // end of the comments. Note that you are not allowed to call the // parser from the callback—that will corrupt its internal state. onComment: null, // Nodes have their start and end characters offsets recorded in // `start` and `end` properties (directly on the node, rather than // the `loc` object, which holds line/column data. To also add a // [semi-standardized][range] `range` property holding a `[start, // end]` array with the same numbers, set the `ranges` option to // `true`. // // [range]: https://bugzilla.mozilla.org/show_bug.cgi?id=745678 ranges: false, // It is possible to parse multiple files into a single AST by // passing the tree produced by parsing the first file as // `program` option in subsequent parses. This will add the // toplevel forms of the parsed file to the `Program` (top) node // of an existing parse tree. program: null, // When `locations` is on, you can pass this to record the source // file in every node's `loc` object. sourceFile: null, // This value, if given, is stored in every node, whether // `locations` is on or off. directSourceFile: null, // When enabled, parenthesized expressions are represented by // (non-standard) ParenthesizedExpression nodes preserveParens: false }; // Interpret and default an options object function getOptions(opts) { var options = {}; for (var opt in defaultOptions) { options[opt] = opts && has(opts, opt) ? opts[opt] : defaultOptions[opt]; } if (options.ecmaVersion >= 2015) { options.ecmaVersion -= 2009; } if (options.allowReserved == null) { options.allowReserved = options.ecmaVersion < 5; } if (isArray(options.onToken)) { var tokens = options.onToken; options.onToken = function (token) { return tokens.push(token); }; } if (isArray(options.onComment)) { options.onComment = pushComment(options, options.onComment); } return options } function pushComment(options, array) { return function(block, text, start, end, startLoc, endLoc) { var comment = { type: block ? "Block" : "Line", value: text, start: start, end: end }; if (options.locations) { comment.loc = new SourceLocation(this, startLoc, endLoc); } if (options.ranges) { comment.range = [start, end]; } array.push(comment); } } // Each scope gets a bitset that may contain these flags var SCOPE_TOP = 1, SCOPE_FUNCTION = 2, SCOPE_VAR = SCOPE_TOP | SCOPE_FUNCTION, SCOPE_ASYNC = 4, SCOPE_GENERATOR = 8, SCOPE_ARROW = 16, SCOPE_SIMPLE_CATCH = 32, SCOPE_SUPER = 64, SCOPE_DIRECT_SUPER = 128; function functionFlags(async, generator) { return SCOPE_FUNCTION | (async ? SCOPE_ASYNC : 0) | (generator ? SCOPE_GENERATOR : 0) } // Used in checkLVal and declareName to determine the type of a binding var BIND_NONE = 0, // Not a binding BIND_VAR = 1, // Var-style binding BIND_LEXICAL = 2, // Let- or const-style binding BIND_FUNCTION = 3, // Function declaration BIND_SIMPLE_CATCH = 4, // Simple (identifier pattern) catch binding BIND_OUTSIDE = 5; // Special case for function names as bound inside the function var Parser = function Parser(options, input, startPos) { this.options = options = getOptions(options); this.sourceFile = options.sourceFile; this.keywords = wordsRegexp(keywords[options.ecmaVersion >= 6 ? 6 : options.sourceType === "module" ? "5module" : 5]); var reserved = ""; if (options.allowReserved !== true) { for (var v = options.ecmaVersion;; v--) { if (reserved = reservedWords[v]) { break } } if (options.sourceType === "module") { reserved += " await"; } } this.reservedWords = wordsRegexp(reserved); var reservedStrict = (reserved ? reserved + " " : "") + reservedWords.strict; this.reservedWordsStrict = wordsRegexp(reservedStrict); this.reservedWordsStrictBind = wordsRegexp(reservedStrict + " " + reservedWords.strictBind); this.input = String(input); // Used to signal to callers of `readWord1` whether the word // contained any escape sequences. This is needed because words with // escape sequences must not be interpreted as keywords. this.containsEsc = false; // Set up token state // The current position of the tokenizer in the input. if (startPos) { this.pos = startPos; this.lineStart = this.input.lastIndexOf("\n", startPos - 1) + 1; this.curLine = this.input.slice(0, this.lineStart).split(lineBreak).length; } else { this.pos = this.lineStart = 0; this.curLine = 1; } // Properties of the current token: // Its type this.type = types.eof; // For tokens that include more information than their type, the value this.value = null; // Its start and end offset this.start = this.end = this.pos; // And, if locations are used, the {line, column} object // corresponding to those offsets this.startLoc = this.endLoc = this.curPosition(); // Position information for the previous token this.lastTokEndLoc = this.lastTokStartLoc = null; this.lastTokStart = this.lastTokEnd = this.pos; // The context stack is used to superficially track syntactic // context to predict whether a regular expression is allowed in a // given position. this.context = this.initialContext(); this.exprAllowed = true; // Figure out if it's a module code. this.inModule = options.sourceType === "module"; this.strict = this.inModule || this.strictDirective(this.pos); // Used to signify the start of a potential arrow function this.potentialArrowAt = -1; // Positions to delayed-check that yield/await does not exist in default parameters. this.yieldPos = this.awaitPos = this.awaitIdentPos = 0; // Labels in scope. this.labels = []; // Thus-far undefined exports. this.undefinedExports = {}; // If enabled, skip leading hashbang line. if (this.pos === 0 && options.allowHashBang && this.input.slice(0, 2) === "#!") { this.skipLineComment(2); } // Scope tracking for duplicate variable names (see scope.js) this.scopeStack = []; this.enterScope(SCOPE_TOP); // For RegExp validation this.regexpState = null; }; var prototypeAccessors = { inFunction: { configurable: true },inGenerator: { configurable: true },inAsync: { configurable: true },allowSuper: { configurable: true },allowDirectSuper: { configurable: true },treatFunctionsAsVar: { configurable: true } }; Parser.prototype.parse = function parse () { var node = this.options.program || this.startNode(); this.nextToken(); return this.parseTopLevel(node) }; prototypeAccessors.inFunction.get = function () { return (this.currentVarScope().flags & SCOPE_FUNCTION) > 0 }; prototypeAccessors.inGenerator.get = function () { return (this.currentVarScope().flags & SCOPE_GENERATOR) > 0 }; prototypeAccessors.inAsync.get = function () { return (this.currentVarScope().flags & SCOPE_ASYNC) > 0 }; prototypeAccessors.allowSuper.get = function () { return (this.currentThisScope().flags & SCOPE_SUPER) > 0 }; prototypeAccessors.allowDirectSuper.get = function () { return (this.currentThisScope().flags & SCOPE_DIRECT_SUPER) > 0 }; prototypeAccessors.treatFunctionsAsVar.get = function () { return this.treatFunctionsAsVarInScope(this.currentScope()) }; // Switch to a getter for 7.0.0. Parser.prototype.inNonArrowFunction = function inNonArrowFunction () { return (this.currentThisScope().flags & SCOPE_FUNCTION) > 0 }; Parser.extend = function extend () { var plugins = [], len = arguments.length; while ( len-- ) plugins[ len ] = arguments[ len ]; var cls = this; for (var i = 0; i < plugins.length; i++) { cls = plugins[i](cls); } return cls }; Parser.parse = function parse (input, options) { return new this(options, input).parse() }; Parser.parseExpressionAt = function parseExpressionAt (input, pos, options) { var parser = new this(options, input, pos); parser.nextToken(); return parser.parseExpression() }; Parser.tokenizer = function tokenizer (input, options) { return new this(options, input) }; Object.defineProperties( Parser.prototype, prototypeAccessors ); var pp = Parser.prototype; // ## Parser utilities var literal = /^(?:'((?:\\.|[^'])*?)'|"((?:\\.|[^"])*?)")/; pp.strictDirective = function(start) { for (;;) { // Try to find string literal. skipWhiteSpace.lastIndex = start; start += skipWhiteSpace.exec(this.input)[0].length; var match = literal.exec(this.input.slice(start)); if (!match) { return false } if ((match[1] || match[2]) === "use strict") { return true } start += match[0].length; // Skip semicolon, if any. skipWhiteSpace.lastIndex = start; start += skipWhiteSpace.exec(this.input)[0].length; if (this.input[start] === ";") { start++; } } }; // Predicate that tests whether the next token is of the given // type, and if yes, consumes it as a side effect. pp.eat = function(type) { if (this.type === type) { this.next(); return true } else { return false } }; // Tests whether parsed token is a contextual keyword. pp.isContextual = function(name) { return this.type === types.name && this.value === name && !this.containsEsc }; // Consumes contextual keyword if possible. pp.eatContextual = function(name) { if (!this.isContextual(name)) { return false } this.next(); return true }; // Asserts that following token is given contextual keyword. pp.expectContextual = function(name) { if (!this.eatContextual(name)) { this.unexpected(); } }; // Test whether a semicolon can be inserted at the current position. pp.canInsertSemicolon = function() { return this.type === types.eof || this.type === types.braceR || lineBreak.test(this.input.slice(this.lastTokEnd, this.start)) }; pp.insertSemicolon = function() { if (this.canInsertSemicolon()) { if (this.options.onInsertedSemicolon) { this.options.onInsertedSemicolon(this.lastTokEnd, this.lastTokEndLoc); } return true } }; // Consume a semicolon, or, failing that, see if we are allowed to // pretend that there is a semicolon at this position. pp.semicolon = function() { if (!this.eat(types.semi) && !this.insertSemicolon()) { this.unexpected(); } }; pp.afterTrailingComma = function(tokType, notNext) { if (this.type === tokType) { if (this.options.onTrailingComma) { this.options.onTrailingComma(this.lastTokStart, this.lastTokStartLoc); } if (!notNext) { this.next(); } return true } }; // Expect a token of a given type. If found, consume it, otherwise, // raise an unexpected token error. pp.expect = function(type) { this.eat(type) || this.unexpected(); }; // Raise an unexpected token error. pp.unexpected = function(pos) { this.raise(pos != null ? pos : this.start, "Unexpected token"); }; function DestructuringErrors() { this.shorthandAssign = this.trailingComma = this.parenthesizedAssign = this.parenthesizedBind = this.doubleProto = -1; } pp.checkPatternErrors = function(refDestructuringErrors, isAssign) { if (!refDestructuringErrors) { return } if (refDestructuringErrors.trailingComma > -1) { this.raiseRecoverable(refDestructuringErrors.trailingComma, "Comma is not permitted after the rest element"); } var parens = isAssign ? refDestructuringErrors.parenthesizedAssign : refDestructuringErrors.parenthesizedBind; if (parens > -1) { this.raiseRecoverable(parens, "Parenthesized pattern"); } }; pp.checkExpressionErrors = function(refDestructuringErrors, andThrow) { if (!refDestructuringErrors) { return false } var shorthandAssign = refDestructuringErrors.shorthandAssign; var doubleProto = refDestructuringErrors.doubleProto; if (!andThrow) { return shorthandAssign >= 0 || doubleProto >= 0 } if (shorthandAssign >= 0) { this.raise(shorthandAssign, "Shorthand property assignments are valid only in destructuring patterns"); } if (doubleProto >= 0) { this.raiseRecoverable(doubleProto, "Redefinition of __proto__ property"); } }; pp.checkYieldAwaitInDefaultParams = function() { if (this.yieldPos && (!this.awaitPos || this.yieldPos < this.awaitPos)) { this.raise(this.yieldPos, "Yield expression cannot be a default value"); } if (this.awaitPos) { this.raise(this.awaitPos, "Await expression cannot be a default value"); } }; pp.isSimpleAssignTarget = function(expr) { if (expr.type === "ParenthesizedExpression") { return this.isSimpleAssignTarget(expr.expression) } return expr.type === "Identifier" || expr.type === "MemberExpression" }; var pp$1 = Parser.prototype; // ### Statement parsing // Parse a program. Initializes the parser, reads any number of // statements, and wraps them in a Program node. Optionally takes a // `program` argument. If present, the statements will be appended // to its body instead of creating a new node. pp$1.parseTopLevel = function(node) { var exports = {}; if (!node.body) { node.body = []; } while (this.type !== types.eof) { var stmt = this.parseStatement(null, true, exports); node.body.push(stmt); } if (this.inModule) { for (var i = 0, list = Object.keys(this.undefinedExports); i < list.length; i += 1) { var name = list[i]; this.raiseRecoverable(this.undefinedExports[name].start, ("Export '" + name + "' is not defined")); } } this.adaptDirectivePrologue(node.body); this.next(); node.sourceType = this.options.sourceType; return this.finishNode(node, "Program") }; var loopLabel = {kind: "loop"}, switchLabel = {kind: "switch"}; pp$1.isLet = function(context) { if (this.options.ecmaVersion < 6 || !this.isContextual("let")) { return false } skipWhiteSpace.lastIndex = this.pos; var skip = skipWhiteSpace.exec(this.input); var next = this.pos + skip[0].length, nextCh = this.input.charCodeAt(next); // For ambiguous cases, determine if a LexicalDeclaration (or only a // Statement) is allowed here. If context is not empty then only a Statement // is allowed. However, `let [` is an explicit negative lookahead for // ExpressionStatement, so special-case it first. if (nextCh === 91) { return true } // '[' if (context) { return false } if (nextCh === 123) { return true } // '{' if (isIdentifierStart(nextCh, true)) { var pos = next + 1; while (isIdentifierChar(this.input.charCodeAt(pos), true)) { ++pos; } var ident = this.input.slice(next, pos); if (!keywordRelationalOperator.test(ident)) { return true } } return false }; // check 'async [no LineTerminator here] function' // - 'async /*foo*/ function' is OK. // - 'async /*\n*/ function' is invalid. pp$1.isAsyncFunction = function() { if (this.options.ecmaVersion < 8 || !this.isContextual("async")) { return false } skipWhiteSpace.lastIndex = this.pos; var skip = skipWhiteSpace.exec(this.input); var next = this.pos + skip[0].length; return !lineBreak.test(this.input.slice(this.pos, next)) && this.input.slice(next, next + 8) === "function" && (next + 8 === this.input.length || !isIdentifierChar(this.input.charAt(next + 8))) }; // Parse a single statement. // // If expecting a statement and finding a slash operator, parse a // regular expression literal. This is to handle cases like // `if (foo) /blah/.exec(foo)`, where looking at the previous token // does not help. pp$1.parseStatement = function(context, topLevel, exports) { var starttype = this.type, node = this.startNode(), kind; if (this.isLet(context)) { starttype = types._var; kind = "let"; } // Most types of statements are recognized by the keyword they // start with. Many are trivial to parse, some require a bit of // complexity. switch (starttype) { case types._break: case types._continue: return this.parseBreakContinueStatement(node, starttype.keyword) case types._debugger: return this.parseDebuggerStatement(node) case types._do: return this.parseDoStatement(node) case types._for: return this.parseForStatement(node) case types._function: // Function as sole body of either an if statement or a labeled statement // works, but not when it is part of a labeled statement that is the sole // body of an if statement. if ((context && (this.strict || context !== "if" && context !== "label")) && this.options.ecmaVersion >= 6) { this.unexpected(); } return this.parseFunctionStatement(node, false, !context) case types._class: if (context) { this.unexpected(); } return this.parseClass(node, true) case types._if: return this.parseIfStatement(node) case types._return: return this.parseReturnStatement(node) case types._switch: return this.parseSwitchStatement(node) case types._throw: return this.parseThrowStatement(node) case types._try: return this.parseTryStatement(node) case types._const: case types._var: kind = kind || this.value; if (context && kind !== "var") { this.unexpected(); } return this.parseVarStatement(node, kind) case types._while: return this.parseWhileStatement(node) case types._with: return this.parseWithStatement(node) case types.braceL: return this.parseBlock(true, node) case types.semi: return this.parseEmptyStatement(node) case types._export: case types._import: if (this.options.ecmaVersion > 10 && starttype === types._import) { skipWhiteSpace.lastIndex = this.pos; var skip = skipWhiteSpace.exec(this.input); var next = this.pos + skip[0].length, nextCh = this.input.charCodeAt(next); if (nextCh === 40) // '(' { return this.parseExpressionStatement(node, this.parseExpression()) } } if (!this.options.allowImportExportEverywhere) { if (!topLevel) { this.raise(this.start, "'import' and 'export' may only appear at the top level"); } if (!this.inModule) { this.raise(this.start, "'import' and 'export' may appear only with 'sourceType: module'"); } } return starttype === types._import ? this.parseImport(node) : this.parseExport(node, exports) // If the statement does not start with a statement keyword or a // brace, it's an ExpressionStatement or LabeledStatement. We // simply start parsing an expression, and afterwards, if the // next token is a colon and the expression was a simple // Identifier node, we switch to interpreting it as a label. default: if (this.isAsyncFunction()) { if (context) { this.unexpected(); } this.next(); return this.parseFunctionStatement(node, true, !context) } var maybeName = this.value, expr = this.parseExpression(); if (starttype === types.name && expr.type === "Identifier" && this.eat(types.colon)) { return this.parseLabeledStatement(node, maybeName, expr, context) } else { return this.parseExpressionStatement(node, expr) } } }; pp$1.parseBreakContinueStatement = function(node, keyword) { var isBreak = keyword === "break"; this.next(); if (this.eat(types.semi) || this.insertSemicolon()) { node.label = null; } else if (this.type !== types.name) { this.unexpected(); } else { node.label = this.parseIdent(); this.semicolon(); } // Verify that there is an actual destination to break or // continue to. var i = 0; for (; i < this.labels.length; ++i) { var lab = this.labels[i]; if (node.label == null || lab.name === node.label.name) { if (lab.kind != null && (isBreak || lab.kind === "loop")) { break } if (node.label && isBreak) { break } } } if (i === this.labels.length) { this.raise(node.start, "Unsyntactic " + keyword); } return this.finishNode(node, isBreak ? "BreakStatement" : "ContinueStatement") }; pp$1.parseDebuggerStatement = function(node) { this.next(); this.semicolon(); return this.finishNode(node, "DebuggerStatement") }; pp$1.parseDoStatement = function(node) { this.next(); this.labels.push(loopLabel); node.body = this.parseStatement("do"); this.labels.pop(); this.expect(types._while); node.test = this.parseParenExpression(); if (this.options.ecmaVersion >= 6) { this.eat(types.semi); } else { this.semicolon(); } return this.finishNode(node, "DoWhileStatement") }; // Disambiguating between a `for` and a `for`/`in` or `for`/`of` // loop is non-trivial. Basically, we have to parse the init `var` // statement or expression, disallowing the `in` operator (see // the second parameter to `parseExpression`), and then check // whether the next token is `in` or `of`. When there is no init // part (semicolon immediately after the opening parenthesis), it // is a regular `for` loop. pp$1.parseForStatement = function(node) { this.next(); var awaitAt = (this.options.ecmaVersion >= 9 && (this.inAsync || (!this.inFunction && this.options.allowAwaitOutsideFunction)) && this.eatContextual("await")) ? this.lastTokStart : -1; this.labels.push(loopLabel); this.enterScope(0); this.expect(types.parenL); if (this.type === types.semi) { if (awaitAt > -1) { this.unexpected(awaitAt); } return this.parseFor(node, null) } var isLet = this.isLet(); if (this.type === types._var || this.type === types._const || isLet) { var init$1 = this.startNode(), kind = isLet ? "let" : this.value; this.next(); this.parseVar(init$1, true, kind); this.finishNode(init$1, "VariableDeclaration"); if ((this.type === types._in || (this.options.ecmaVersion >= 6 && this.isContextual("of"))) && init$1.declarations.length === 1) { if (this.options.ecmaVersion >= 9) { if (this.type === types._in) { if (awaitAt > -1) { this.unexpected(awaitAt); } } else { node.await = awaitAt > -1; } } return this.parseForIn(node, init$1) } if (awaitAt > -1) { this.unexpected(awaitAt); } return this.parseFor(node, init$1) } var refDestructuringErrors = new DestructuringErrors; var init = this.parseExpression(true, refDestructuringErrors); if (this.type === types._in || (this.options.ecmaVersion >= 6 && this.isContextual("of"))) { if (this.options.ecmaVersion >= 9) { if (this.type === types._in) { if (awaitAt > -1) { this.unexpected(awaitAt); } } else { node.await = awaitAt > -1; } } this.toAssignable(init, false, refDestructuringErrors); this.checkLVal(init); return this.parseForIn(node, init) } else { this.checkExpressionErrors(refDestructuringErrors, true); } if (awaitAt > -1) { this.unexpected(awaitAt); } return this.parseFor(node, init) }; pp$1.parseFunctionStatement = function(node, isAsync, declarationPosition) { this.next(); return this.parseFunction(node, FUNC_STATEMENT | (declarationPosition ? 0 : FUNC_HANGING_STATEMENT), false, isAsync) }; pp$1.parseIfStatement = function(node) { this.next(); node.test = this.parseParenExpression(); // allow function declarations in branches, but only in non-strict mode node.consequent = this.parseStatement("if"); node.alternate = this.eat(types._else) ? this.parseStatement("if") : null; return this.finishNode(node, "IfStatement") }; pp$1.parseReturnStatement = function(node) { if (!this.inFunction && !this.options.allowReturnOutsideFunction) { this.raise(this.start, "'return' outside of function"); } this.next(); // In `return` (and `break`/`continue`), the keywords with // optional arguments, we eagerly look for a semicolon or the // possibility to insert one. if (this.eat(types.semi) || this.insertSemicolon()) { node.argument = null; } else { node.argument = this.parseExpression(); this.semicolon(); } return this.finishNode(node, "ReturnStatement") }; pp$1.parseSwitchStatement = function(node) { this.next(); node.discriminant = this.parseParenExpression(); node.cases = []; this.expect(types.braceL); this.labels.push(switchLabel); this.enterScope(0); // Statements under must be grouped (by label) in SwitchCase // nodes. `cur` is used to keep the node that we are currently // adding statements to. var cur; for (var sawDefault = false; this.type !== types.braceR;) { if (this.type === types._case || this.type === types._default) { var isCase = this.type === types._case; if (cur) { this.finishNode(cur, "SwitchCase"); } node.cases.push(cur = this.startNode()); cur.consequent = []; this.next(); if (isCase) { cur.test = this.parseExpression(); } else { if (sawDefault) { this.raiseRecoverable(this.lastTokStart, "Multiple default clauses"); } sawDefault = true; cur.test = null; } this.expect(types.colon); } else { if (!cur) { this.unexpected(); } cur.consequent.push(this.parseStatement(null)); } } this.exitScope(); if (cur) { this.finishNode(cur, "SwitchCase"); } this.next(); // Closing brace this.labels.pop(); return this.finishNode(node, "SwitchStatement") }; pp$1.parseThrowStatement = function(node) { this.next(); if (lineBreak.test(this.input.slice(this.lastTokEnd, this.start))) { this.raise(this.lastTokEnd, "Illegal newline after throw"); } node.argument = this.parseExpression(); this.semicolon(); return this.finishNode(node, "ThrowStatement") }; // Reused empty array added for node fields that are always empty. var empty = []; pp$1.parseTryStatement = function(node) { this.next(); node.block = this.parseBlock(); node.handler = null; if (this.type === types._catch) { var clause = this.startNode(); this.next(); if (this.eat(types.parenL)) { clause.param = this.parseBindingAtom(); var simple = clause.param.type === "Identifier"; this.enterScope(simple ? SCOPE_SIMPLE_CATCH : 0); this.checkLVal(clause.param, simple ? BIND_SIMPLE_CATCH : BIND_LEXICAL); this.expect(types.parenR); } else { if (this.options.ecmaVersion < 10) { this.unexpected(); } clause.param = null; this.enterScope(0); } clause.body = this.parseBlock(false); this.exitScope(); node.handler = this.finishNode(clause, "CatchClause"); } node.finalizer = this.eat(types._finally) ? this.parseBlock() : null; if (!node.handler && !node.finalizer) { this.raise(node.start, "Missing catch or finally clause"); } return this.finishNode(node, "TryStatement") }; pp$1.parseVarStatement = function(node, kind) { this.next(); this.parseVar(node, false, kind); this.semicolon(); return this.finishNode(node, "VariableDeclaration") }; pp$1.parseWhileStatement = function(node) { this.next(); node.test = this.parseParenExpression(); this.labels.push(loopLabel); node.body = this.parseStatement("while"); this.labels.pop(); return this.finishNode(node, "WhileStatement") }; pp$1.parseWithStatement = function(node) { if (this.strict) { this.raise(this.start, "'with' in strict mode"); } this.next(); node.object = this.parseParenExpression(); node.body = this.parseStatement("with"); return this.finishNode(node, "WithStatement") }; pp$1.parseEmptyStatement = function(node) { this.next(); return this.finishNode(node, "EmptyStatement") }; pp$1.parseLabeledStatement = function(node, maybeName, expr, context) { for (var i$1 = 0, list = this.labels; i$1 < list.length; i$1 += 1) { var label = list[i$1]; if (label.name === maybeName) { this.raise(expr.start, "Label '" + maybeName + "' is already declared"); } } var kind = this.type.isLoop ? "loop" : this.type === types._switch ? "switch" : null; for (var i = this.labels.length - 1; i >= 0; i--) { var label$1 = this.labels[i]; if (label$1.statementStart === node.start) { // Update information about previous labels on this node label$1.statementStart = this.start; label$1.kind = kind; } else { break } } this.labels.push({name: maybeName, kind: kind, statementStart: this.start}); node.body = this.parseStatement(context ? context.indexOf("label") === -1 ? context + "label" : context : "label"); this.labels.pop(); node.label = expr; return this.finishNode(node, "LabeledStatement") }; pp$1.parseExpressionStatement = function(node, expr) { node.expression = expr; this.semicolon(); return this.finishNode(node, "ExpressionStatement") }; // Parse a semicolon-enclosed block of statements, handling `"use // strict"` declarations when `allowStrict` is true (used for // function bodies). pp$1.parseBlock = function(createNewLexicalScope, node) { if ( createNewLexicalScope === void 0 ) createNewLexicalScope = true; if ( node === void 0 ) node = this.startNode(); node.body = []; this.expect(types.braceL); if (createNewLexicalScope) { this.enterScope(0); } while (!this.eat(types.braceR)) { var stmt = this.parseStatement(null); node.body.push(stmt); } if (createNewLexicalScope) { this.exitScope(); } return this.finishNode(node, "BlockStatement") }; // Parse a regular `for` loop. The disambiguation code in // `parseStatement` will already have parsed the init statement or // expression. pp$1.parseFor = function(node, init) { node.init = init; this.expect(types.semi); node.test = this.type === types.semi ? null : this.parseExpression(); this.expect(types.semi); node.update = this.type === types.parenR ? null : this.parseExpression(); this.expect(types.parenR); node.body = this.parseStatement("for"); this.exitScope(); this.labels.pop(); return this.finishNode(node, "ForStatement") }; // Parse a `for`/`in` and `for`/`of` loop, which are almost // same from parser's perspective. pp$1.parseForIn = function(node, init) { var isForIn = this.type === types._in; this.next(); if ( init.type === "VariableDeclaration" && init.declarations[0].init != null && ( !isForIn || this.options.ecmaVersion < 8 || this.strict || init.kind !== "var" || init.declarations[0].id.type !== "Identifier" ) ) { this.raise( init.start, ((isForIn ? "for-in" : "for-of") + " loop variable declaration may not have an initializer") ); } else if (init.type === "AssignmentPattern") { this.raise(init.start, "Invalid left-hand side in for-loop"); } node.left = init; node.right = isForIn ? this.parseExpression() : this.parseMaybeAssign(); this.expect(types.parenR); node.body = this.parseStatement("for"); this.exitScope(); this.labels.pop(); return this.finishNode(node, isForIn ? "ForInStatement" : "ForOfStatement") }; // Parse a list of variable declarations. pp$1.parseVar = function(node, isFor, kind) { node.declarations = []; node.kind = kind; for (;;) { var decl = this.startNode(); this.parseVarId(decl, kind); if (this.eat(types.eq)) { decl.init = this.parseMaybeAssign(isFor); } else if (kind === "const" && !(this.type === types._in || (this.options.ecmaVersion >= 6 && this.isContextual("of")))) { this.unexpected(); } else if (decl.id.type !== "Identifier" && !(isFor && (this.type === types._in || this.isContextual("of")))) { this.raise(this.lastTokEnd, "Complex binding patterns require an initialization value"); } else { decl.init = null; } node.declarations.push(this.finishNode(decl, "VariableDeclarator")); if (!this.eat(types.comma)) { break } } return node }; pp$1.parseVarId = function(decl, kind) { decl.id = this.parseBindingAtom(); this.checkLVal(decl.id, kind === "var" ? BIND_VAR : BIND_LEXICAL, false); }; var FUNC_STATEMENT = 1, FUNC_HANGING_STATEMENT = 2, FUNC_NULLABLE_ID = 4; // Parse a function declaration or literal (depending on the // `statement & FUNC_STATEMENT`). // Remove `allowExpressionBody` for 7.0.0, as it is only called with false pp$1.parseFunction = function(node, statement, allowExpressionBody, isAsync) { this.initFunction(node); if (this.options.ecmaVersion >= 9 || this.options.ecmaVersion >= 6 && !isAsync) { if (this.type === types.star && (statement & FUNC_HANGING_STATEMENT)) { this.unexpected(); } node.generator = this.eat(types.star); } if (this.options.ecmaVersion >= 8) { node.async = !!isAsync; } if (statement & FUNC_STATEMENT) { node.id = (statement & FUNC_NULLABLE_ID) && this.type !== types.name ? null : this.parseIdent(); if (node.id && !(statement & FUNC_HANGING_STATEMENT)) // If it is a regular function declaration in sloppy mode, then it is // subject to Annex B semantics (BIND_FUNCTION). Otherwise, the binding // mode depends on properties of the current scope (see // treatFunctionsAsVar). { this.checkLVal(node.id, (this.strict || node.generator || node.async) ? this.treatFunctionsAsVar ? BIND_VAR : BIND_LEXICAL : BIND_FUNCTION); } } var oldYieldPos = this.yieldPos, oldAwaitPos = this.awaitPos, oldAwaitIdentPos = this.awaitIdentPos; this.yieldPos = 0; this.awaitPos = 0; this.awaitIdentPos = 0; this.enterScope(functionFlags(node.async, node.generator)); if (!(statement & FUNC_STATEMENT)) { node.id = this.type === types.name ? this.parseIdent() : null; } this.parseFunctionParams(node); this.parseFunctionBody(node, allowExpressionBody, false); this.yieldPos = oldYieldPos; this.awaitPos = oldAwaitPos; this.awaitIdentPos = oldAwaitIdentPos; return this.finishNode(node, (statement & FUNC_STATEMENT) ? "FunctionDeclaration" : "FunctionExpression") }; pp$1.parseFunctionParams = function(node) { this.expect(types.parenL); node.params = this.parseBindingList(types.parenR, false, this.options.ecmaVersion >= 8); this.checkYieldAwaitInDefaultParams(); }; // Parse a class declaration or literal (depending on the // `isStatement` parameter). pp$1.parseClass = function(node, isStatement) { this.next(); // ecma-262 14.6 Class Definitions // A class definition is always strict mode code. var oldStrict = this.strict; this.strict = true; this.parseClassId(node, isStatement); this.parseClassSuper(node); var classBody = this.startNode(); var hadConstructor = false; classBody.body = []; this.expect(types.braceL); while (!this.eat(types.braceR)) { var element = this.parseClassElement(node.superClass !== null); if (element) { classBody.body.push(element); if (element.type === "MethodDefinition" && element.kind === "constructor") { if (hadConstructor) { this.raise(element.start, "Duplicate constructor in the same class"); } hadConstructor = true; } } } node.body = this.finishNode(classBody, "ClassBody"); this.strict = oldStrict; return this.finishNode(node, isStatement ? "ClassDeclaration" : "ClassExpression") }; pp$1.parseClassElement = function(constructorAllowsSuper) { var this$1 = this; if (this.eat(types.semi)) { return null } var method = this.startNode(); var tryContextual = function (k, noLineBreak) { if ( noLineBreak === void 0 ) noLineBreak = false; var start = this$1.start, startLoc = this$1.startLoc; if (!this$1.eatContextual(k)) { return false } if (this$1.type !== types.parenL && (!noLineBreak || !this$1.canInsertSemicolon())) { return true } if (method.key) { this$1.unexpected(); } method.computed = false; method.key = this$1.startNodeAt(start, startLoc); method.key.name = k; this$1.finishNode(method.key, "Identifier"); return false }; method.kind = "method"; method.static = tryContextual("static"); var isGenerator = this.eat(types.star); var isAsync = false; if (!isGenerator) { if (this.options.ecmaVersion >= 8 && tryContextual("async", true)) { isAsync = true; isGenerator = this.options.ecmaVersion >= 9 && this.eat(types.star); } else if (tryContextual("get")) { method.kind = "get"; } else if (tryContextual("set")) { method.kind = "set"; } } if (!method.key) { this.parsePropertyName(method); } var key = method.key; var allowsDirectSuper = false; if (!method.computed && !method.static && (key.type === "Identifier" && key.name === "constructor" || key.type === "Literal" && key.value === "constructor")) { if (method.kind !== "method") { this.raise(key.start, "Constructor can't have get/set modifier"); } if (isGenerator) { this.raise(key.start, "Constructor can't be a generator"); } if (isAsync) { this.raise(key.start, "Constructor can't be an async method"); } method.kind = "constructor"; allowsDirectSuper = constructorAllowsSuper; } else if (method.static && key.type === "Identifier" && key.name === "prototype") { this.raise(key.start, "Classes may not have a static property named prototype"); } this.parseClassMethod(method, isGenerator, isAsync, allowsDirectSuper); if (method.kind === "get" && method.value.params.length !== 0) { this.raiseRecoverable(method.value.start, "getter should have no params"); } if (method.kind === "set" && method.value.params.length !== 1) { this.raiseRecoverable(method.value.start, "setter should have exactly one param"); } if (method.kind === "set" && method.value.params[0].type === "RestElement") { this.raiseRecoverable(method.value.params[0].start, "Setter cannot use rest params"); } return method }; pp$1.parseClassMethod = function(method, isGenerator, isAsync, allowsDirectSuper) { method.value = this.parseMethod(isGenerator, isAsync, allowsDirectSuper); return this.finishNode(method, "MethodDefinition") }; pp$1.parseClassId = function(node, isStatement) { if (this.type === types.name) { node.id = this.parseIdent(); if (isStatement) { this.checkLVal(node.id, BIND_LEXICAL, false); } } else { if (isStatement === true) { this.unexpected(); } node.id = null; } }; pp$1.parseClassSuper = function(node) { node.superClass = this.eat(types._extends) ? this.parseExprSubscripts() : null; }; // Parses module export declaration. pp$1.parseExport = function(node, exports) { this.next(); // export * from '...' if (this.eat(types.star)) { this.expectContextual("from"); if (this.type !== types.string) { this.unexpected(); } node.source = this.parseExprAtom(); this.semicolon(); return this.finishNode(node, "ExportAllDeclaration") } if (this.eat(types._default)) { // export default ... this.checkExport(exports, "default", this.lastTokStart); var isAsync; if (this.type === types._function || (isAsync = this.isAsyncFunction())) { var fNode = this.startNode(); this.next(); if (isAsync) { this.next(); } node.declaration = this.parseFunction(fNode, FUNC_STATEMENT | FUNC_NULLABLE_ID, false, isAsync); } else if (this.type === types._class) { var cNode = this.startNode(); node.declaration = this.parseClass(cNode, "nullableID"); } else { node.declaration = this.parseMaybeAssign(); this.semicolon(); } return this.finishNode(node, "ExportDefaultDeclaration") } // export var|const|let|function|class ... if (this.shouldParseExportStatement()) { node.declaration = this.parseStatement(null); if (node.declaration.type === "VariableDeclaration") { this.checkVariableExport(exports, node.declaration.declarations); } else { this.checkExport(exports, node.declaration.id.name, node.declaration.id.start); } node.specifiers = []; node.source = null; } else { // export { x, y as z } [from '...'] node.declaration = null; node.specifiers = this.parseExportSpecifiers(exports); if (this.eatContextual("from")) { if (this.type !== types.string) { this.unexpected(); } node.source = this.parseExprAtom(); } else { for (var i = 0, list = node.specifiers; i < list.length; i += 1) { // check for keywords used as local names var spec = list[i]; this.checkUnreserved(spec.local); // check if export is defined this.checkLocalExport(spec.local); } node.source = null; } this.semicolon(); } return this.finishNode(node, "ExportNamedDeclaration") }; pp$1.checkExport = function(exports, name, pos) { if (!exports) { return } if (has(exports, name)) { this.raiseRecoverable(pos, "Duplicate export '" + name + "'"); } exports[name] = true; }; pp$1.checkPatternExport = function(exports, pat) { var type = pat.type; if (type === "Identifier") { this.checkExport(exports, pat.name, pat.start); } else if (type === "ObjectPattern") { for (var i = 0, list = pat.properties; i < list.length; i += 1) { var prop = list[i]; this.checkPatternExport(exports, prop); } } else if (type === "ArrayPattern") { for (var i$1 = 0, list$1 = pat.elements; i$1 < list$1.length; i$1 += 1) { var elt = list$1[i$1]; if (elt) { this.checkPatternExport(exports, elt); } } } else if (type === "Property") { this.checkPatternExport(exports, pat.value); } else if (type === "AssignmentPattern") { this.checkPatternExport(exports, pat.left); } else if (type === "RestElement") { this.checkPatternExport(exports, pat.argument); } else if (type === "ParenthesizedExpression") { this.checkPatternExport(exports, pat.expression); } }; pp$1.checkVariableExport = function(exports, decls) { if (!exports) { return } for (var i = 0, list = decls; i < list.length; i += 1) { var decl = list[i]; this.checkPatternExport(exports, decl.id); } }; pp$1.shouldParseExportStatement = function() { return this.type.keyword === "var" || this.type.keyword === "const" || this.type.keyword === "class" || this.type.keyword === "function" || this.isLet() || this.isAsyncFunction() }; // Parses a comma-separated list of module exports. pp$1.parseExportSpecifiers = function(exports) { var nodes = [], first = true; // export { x, y as z } [from '...'] this.expect(types.braceL); while (!this.eat(types.braceR)) { if (!first) { this.expect(types.comma); if (this.afterTrailingComma(types.braceR)) { break } } else { first = false; } var node = this.startNode(); node.local = this.parseIdent(true); node.exported = this.eatContextual("as") ? this.parseIdent(true) : node.local; this.checkExport(exports, node.exported.name, node.exported.start); nodes.push(this.finishNode(node, "ExportSpecifier")); } return nodes }; // Parses import declaration. pp$1.parseImport = function(node) { this.next(); // import '...' if (this.type === types.string) { node.specifiers = empty; node.source = this.parseExprAtom(); } else { node.specifiers = this.parseImportSpecifiers(); this.expectContextual("from"); node.source = this.type === types.string ? this.parseExprAtom() : this.unexpected(); } this.semicolon(); return this.finishNode(node, "ImportDeclaration") }; // Parses a comma-separated list of module imports. pp$1.parseImportSpecifiers = function() { var nodes = [], first = true; if (this.type === types.name) { // import defaultObj, { x, y as z } from '...' var node = this.startNode(); node.local = this.parseIdent(); this.checkLVal(node.local, BIND_LEXICAL); nodes.push(this.finishNode(node, "ImportDefaultSpecifier")); if (!this.eat(types.comma)) { return nodes } } if (this.type === types.star) { var node$1 = this.startNode(); this.next(); this.expectContextual("as"); node$1.local = this.parseIdent(); this.checkLVal(node$1.local, BIND_LEXICAL); nodes.push(this.finishNode(node$1, "ImportNamespaceSpecifier")); return nodes } this.expect(types.braceL); while (!this.eat(types.braceR)) { if (!first) { this.expect(types.comma); if (this.afterTrailingComma(types.braceR)) { break } } else { first = false; } var node$2 = this.startNode(); node$2.imported = this.parseIdent(true); if (this.eatContextual("as")) { node$2.local = this.parseIdent(); } else { this.checkUnreserved(node$2.imported); node$2.local = node$2.imported; } this.checkLVal(node$2.local, BIND_LEXICAL); nodes.push(this.finishNode(node$2, "ImportSpecifier")); } return nodes }; // Set `ExpressionStatement#directive` property for directive prologues. pp$1.adaptDirectivePrologue = function(statements) { for (var i = 0; i < statements.length && this.isDirectiveCandidate(statements[i]); ++i) { statements[i].directive = statements[i].expression.raw.slice(1, -1); } }; pp$1.isDirectiveCandidate = function(statement) { return ( statement.type === "ExpressionStatement" && statement.expression.type === "Literal" && typeof statement.expression.value === "string" && // Reject parenthesized strings. (this.input[statement.start] === "\"" || this.input[statement.start] === "'") ) }; var pp$2 = Parser.prototype; // Convert existing expression atom to assignable pattern // if possible. pp$2.toAssignable = function(node, isBinding, refDestructuringErrors) { if (this.options.ecmaVersion >= 6 && node) { switch (node.type) { case "Identifier": if (this.inAsync && node.name === "await") { this.raise(node.start, "Cannot use 'await' as identifier inside an async function"); } break case "ObjectPattern": case "ArrayPattern": case "RestElement": break case "ObjectExpression": node.type = "ObjectPattern"; if (refDestructuringErrors) { this.checkPatternErrors(refDestructuringErrors, true); } for (var i = 0, list = node.properties; i < list.length; i += 1) { var prop = list[i]; this.toAssignable(prop, isBinding); // Early error: // AssignmentRestProperty[Yield, Await] : // `...` DestructuringAssignmentTarget[Yield, Await] // // It is a Syntax Error if |DestructuringAssignmentTarget| is an |ArrayLiteral| or an |ObjectLiteral|. if ( prop.type === "RestElement" && (prop.argument.type === "ArrayPattern" || prop.argument.type === "ObjectPattern") ) { this.raise(prop.argument.start, "Unexpected token"); } } break case "Property": // AssignmentProperty has type === "Property" if (node.kind !== "init") { this.raise(node.key.start, "Object pattern can't contain getter or setter"); } this.toAssignable(node.value, isBinding); break case "ArrayExpression": node.type = "ArrayPattern"; if (refDestructuringErrors) { this.checkPatternErrors(refDestructuringErrors, true); } this.toAssignableList(node.elements, isBinding); break case "SpreadElement": node.type = "RestElement"; this.toAssignable(node.argument, isBinding); if (node.argument.type === "AssignmentPattern") { this.raise(node.argument.start, "Rest elements cannot have a default value"); } break case "AssignmentExpression": if (node.operator !== "=") { this.raise(node.left.end, "Only '=' operator can be used for specifying default value."); } node.type = "AssignmentPattern"; delete node.operator; this.toAssignable(node.left, isBinding); // falls through to AssignmentPattern case "AssignmentPattern": break case "ParenthesizedExpression": this.toAssignable(node.expression, isBinding, refDestructuringErrors); break case "MemberExpression": if (!isBinding) { break } default: this.raise(node.start, "Assigning to rvalue"); } } else if (refDestructuringErrors) { this.checkPatternErrors(refDestructuringErrors, true); } return node }; // Convert list of expression atoms to binding list. pp$2.toAssignableList = function(exprList, isBinding) { var end = exprList.length; for (var i = 0; i < end; i++) { var elt = exprList[i]; if (elt) { this.toAssignable(elt, isBinding); } } if (end) { var last = exprList[end - 1]; if (this.options.ecmaVersion === 6 && isBinding && last && last.type === "RestElement" && last.argument.type !== "Identifier") { this.unexpected(last.argument.start); } } return exprList }; // Parses spread element. pp$2.parseSpread = function(refDestructuringErrors) { var node = this.startNode(); this.next(); node.argument = this.parseMaybeAssign(false, refDestructuringErrors); return this.finishNode(node, "SpreadElement") }; pp$2.parseRestBinding = function() { var node = this.startNode(); this.next(); // RestElement inside of a function parameter must be an identifier if (this.options.ecmaVersion === 6 && this.type !== types.name) { this.unexpected(); } node.argument = this.parseBindingAtom(); return this.finishNode(node, "RestElement") }; // Parses lvalue (assignable) atom. pp$2.parseBindingAtom = function() { if (this.options.ecmaVersion >= 6) { switch (this.type) { case types.bracketL: var node = this.startNode(); this.next(); node.elements = this.parseBindingList(types.bracketR, true, true); return this.finishNode(node, "ArrayPattern") case types.braceL: return this.parseObj(true) } } return this.parseIdent() }; pp$2.parseBindingList = function(close, allowEmpty, allowTrailingComma) { var elts = [], first = true; while (!this.eat(close)) { if (first) { first = false; } else { this.expect(types.comma); } if (allowEmpty && this.type === types.comma) { elts.push(null); } else if (allowTrailingComma && this.afterTrailingComma(close)) { break } else if (this.type === types.ellipsis) { var rest = this.parseRestBinding(); this.parseBindingListItem(rest); elts.push(rest); if (this.type === types.comma) { this.raise(this.start, "Comma is not permitted after the rest element"); } this.expect(close); break } else { var elem = this.parseMaybeDefault(this.start, this.startLoc); this.parseBindingListItem(elem); elts.push(elem); } } return elts }; pp$2.parseBindingListItem = function(param) { return param }; // Parses assignment pattern around given atom if possible. pp$2.parseMaybeDefault = function(startPos, startLoc, left) { left = left || this.parseBindingAtom(); if (this.options.ecmaVersion < 6 || !this.eat(types.eq)) { return left } var node = this.startNodeAt(startPos, startLoc); node.left = left; node.right = this.parseMaybeAssign(); return this.finishNode(node, "AssignmentPattern") }; // Verify that a node is an lval — something that can be assigned // to. // bindingType can be either: // 'var' indicating that the lval creates a 'var' binding // 'let' indicating that the lval creates a lexical ('let' or 'const') binding // 'none' indicating that the binding should be checked for illegal identifiers, but not for duplicate references pp$2.checkLVal = function(expr, bindingType, checkClashes) { if ( bindingType === void 0 ) bindingType = BIND_NONE; switch (expr.type) { case "Identifier": if (bindingType === BIND_LEXICAL && expr.name === "let") { this.raiseRecoverable(expr.start, "let is disallowed as a lexically bound name"); } if (this.strict && this.reservedWordsStrictBind.test(expr.name)) { this.raiseRecoverable(expr.start, (bindingType ? "Binding " : "Assigning to ") + expr.name + " in strict mode"); } if (checkClashes) { if (has(checkClashes, expr.name)) { this.raiseRecoverable(expr.start, "Argument name clash"); } checkClashes[expr.name] = true; } if (bindingType !== BIND_NONE && bindingType !== BIND_OUTSIDE) { this.declareName(expr.name, bindingType, expr.start); } break case "MemberExpression": if (bindingType) { this.raiseRecoverable(expr.start, "Binding member expression"); } break case "ObjectPattern": for (var i = 0, list = expr.properties; i < list.length; i += 1) { var prop = list[i]; this.checkLVal(prop, bindingType, checkClashes); } break case "Property": // AssignmentProperty has type === "Property" this.checkLVal(expr.value, bindingType, checkClashes); break case "ArrayPattern": for (var i$1 = 0, list$1 = expr.elements; i$1 < list$1.length; i$1 += 1) { var elem = list$1[i$1]; if (elem) { this.checkLVal(elem, bindingType, checkClashes); } } break case "AssignmentPattern": this.checkLVal(expr.left, bindingType, checkClashes); break case "RestElement": this.checkLVal(expr.argument, bindingType, checkClashes); break case "ParenthesizedExpression": this.checkLVal(expr.expression, bindingType, checkClashes); break default: this.raise(expr.start, (bindingType ? "Binding" : "Assigning to") + " rvalue"); } }; // A recursive descent parser operates by defining functions for all var pp$3 = Parser.prototype; // Check if property name clashes with already added. // Object/class getters and setters are not allowed to clash — // either with each other or with an init property — and in // strict mode, init properties are also not allowed to be repeated. pp$3.checkPropClash = function(prop, propHash, refDestructuringErrors) { if (this.options.ecmaVersion >= 9 && prop.type === "SpreadElement") { return } if (this.options.ecmaVersion >= 6 && (prop.computed || prop.method || prop.shorthand)) { return } var key = prop.key; var name; switch (key.type) { case "Identifier": name = key.name; break case "Literal": name = String(key.value); break default: return } var kind = prop.kind; if (this.options.ecmaVersion >= 6) { if (name === "__proto__" && kind === "init") { if (propHash.proto) { if (refDestructuringErrors && refDestructuringErrors.doubleProto < 0) { refDestructuringErrors.doubleProto = key.start; } // Backwards-compat kludge. Can be removed in version 6.0 else { this.raiseRecoverable(key.start, "Redefinition of __proto__ property"); } } propHash.proto = true; } return } name = "$" + name; var other = propHash[name]; if (other) { var redefinition; if (kind === "init") { redefinition = this.strict && other.init || other.get || other.set; } else { redefinition = other.init || other[kind]; } if (redefinition) { this.raiseRecoverable(key.start, "Redefinition of property"); } } else { other = propHash[name] = { init: false, get: false, set: false }; } other[kind] = true; }; // ### Expression parsing // These nest, from the most general expression type at the top to // 'atomic', nondivisible expression types at the bottom. Most of // the functions will simply let the function(s) below them parse, // and, *if* the syntactic construct they handle is present, wrap // the AST node that the inner parser gave them in another node. // Parse a full expression. The optional arguments are used to // forbid the `in` operator (in for loops initalization expressions) // and provide reference for storing '=' operator inside shorthand // property assignment in contexts where both object expression // and object pattern might appear (so it's possible to raise // delayed syntax error at correct position). pp$3.parseExpression = function(noIn, refDestructuringErrors) { var startPos = this.start, startLoc = this.startLoc; var expr = this.parseMaybeAssign(noIn, refDestructuringErrors); if (this.type === types.comma) { var node = this.startNodeAt(startPos, startLoc); node.expressions = [expr]; while (this.eat(types.comma)) { node.expressions.push(this.parseMaybeAssign(noIn, refDestructuringErrors)); } return this.finishNode(node, "SequenceExpression") } return expr }; // Parse an assignment expression. This includes applications of // operators like `+=`. pp$3.parseMaybeAssign = function(noIn, refDestructuringErrors, afterLeftParse) { if (this.isContextual("yield")) { if (this.inGenerator) { return this.parseYield(noIn) } // The tokenizer will assume an expression is allowed after // `yield`, but this isn't that kind of yield else { this.exprAllowed = false; } } var ownDestructuringErrors = false, oldParenAssign = -1, oldTrailingComma = -1, oldShorthandAssign = -1; if (refDestructuringErrors) { oldParenAssign = refDestructuringErrors.parenthesizedAssign; oldTrailingComma = refDestructuringErrors.trailingComma; oldShorthandAssign = refDestructuringErrors.shorthandAssign; refDestructuringErrors.parenthesizedAssign = refDestructuringErrors.trailingComma = refDestructuringErrors.shorthandAssign = -1; } else { refDestructuringErrors = new DestructuringErrors; ownDestructuringErrors = true; } var startPos = this.start, startLoc = this.startLoc; if (this.type === types.parenL || this.type === types.name) { this.potentialArrowAt = this.start; } var left = this.parseMaybeConditional(noIn, refDestructuringErrors); if (afterLeftParse) { left = afterLeftParse.call(this, left, startPos, startLoc); } if (this.type.isAssign) { var node = this.startNodeAt(startPos, startLoc); node.operator = this.value; node.left = this.type === types.eq ? this.toAssignable(left, false, refDestructuringErrors) : left; if (!ownDestructuringErrors) { DestructuringErrors.call(refDestructuringErrors); } refDestructuringErrors.shorthandAssign = -1; // reset because shorthand default was used correctly this.checkLVal(left); this.next(); node.right = this.parseMaybeAssign(noIn); return this.finishNode(node, "AssignmentExpression") } else { if (ownDestructuringErrors) { this.checkExpressionErrors(refDestructuringErrors, true); } } if (oldParenAssign > -1) { refDestructuringErrors.parenthesizedAssign = oldParenAssign; } if (oldTrailingComma > -1) { refDestructuringErrors.trailingComma = oldTrailingComma; } if (oldShorthandAssign > -1) { refDestructuringErrors.shorthandAssign = oldShorthandAssign; } return left }; // Parse a ternary conditional (`?:`) operator. pp$3.parseMaybeConditional = function(noIn, refDestructuringErrors) { var startPos = this.start, startLoc = this.startLoc; var expr = this.parseExprOps(noIn, refDestructuringErrors); if (this.checkExpressionErrors(refDestructuringErrors)) { return expr } if (this.eat(types.question)) { var node = this.startNodeAt(startPos, startLoc); node.test = expr; node.consequent = this.parseMaybeAssign(); this.expect(types.colon); node.alternate = this.parseMaybeAssign(noIn); return this.finishNode(node, "ConditionalExpression") } return expr }; // Start the precedence parser. pp$3.parseExprOps = function(noIn, refDestructuringErrors) { var startPos = this.start, startLoc = this.startLoc; var expr = this.parseMaybeUnary(refDestructuringErrors, false); if (this.checkExpressionErrors(refDestructuringErrors)) { return expr } return expr.start === startPos && expr.type === "ArrowFunctionExpression" ? expr : this.parseExprOp(expr, startPos, startLoc, -1, noIn) }; // Parse binary operators with the operator precedence parsing // algorithm. `left` is the left-hand side of the operator. // `minPrec` provides context that allows the function to stop and // defer further parser to one of its callers when it encounters an // operator that has a lower precedence than the set it is parsing. pp$3.parseExprOp = function(left, leftStartPos, leftStartLoc, minPrec, noIn) { var prec = this.type.binop; if (prec != null && (!noIn || this.type !== types._in)) { if (prec > minPrec) { var logical = this.type === types.logicalOR || this.type === types.logicalAND; var op = this.value; this.next(); var startPos = this.start, startLoc = this.startLoc; var right = this.parseExprOp(this.parseMaybeUnary(null, false), startPos, startLoc, prec, noIn); var node = this.buildBinary(leftStartPos, leftStartLoc, left, right, op, logical); return this.parseExprOp(node, leftStartPos, leftStartLoc, minPrec, noIn) } } return left }; pp$3.buildBinary = function(startPos, startLoc, left, right, op, logical) { var node = this.startNodeAt(startPos, startLoc); node.left = left; node.operator = op; node.right = right; return this.finishNode(node, logical ? "LogicalExpression" : "BinaryExpression") }; // Parse unary operators, both prefix and postfix. pp$3.parseMaybeUnary = function(refDestructuringErrors, sawUnary) { var startPos = this.start, startLoc = this.startLoc, expr; if (this.isContextual("await") && (this.inAsync || (!this.inFunction && this.options.allowAwaitOutsideFunction))) { expr = this.parseAwait(); sawUnary = true; } else if (this.type.prefix) { var node = this.startNode(), update = this.type === types.incDec; node.operator = this.value; node.prefix = true; this.next(); node.argument = this.parseMaybeUnary(null, true); this.checkExpressionErrors(refDestructuringErrors, true); if (update) { this.checkLVal(node.argument); } else if (this.strict && node.operator === "delete" && node.argument.type === "Identifier") { this.raiseRecoverable(node.start, "Deleting local variable in strict mode"); } else { sawUnary = true; } expr = this.finishNode(node, update ? "UpdateExpression" : "UnaryExpression"); } else { expr = this.parseExprSubscripts(refDestructuringErrors); if (this.checkExpressionErrors(refDestructuringErrors)) { return expr } while (this.type.postfix && !this.canInsertSemicolon()) { var node$1 = this.startNodeAt(startPos, startLoc); node$1.operator = this.value; node$1.prefix = false; node$1.argument = expr; this.checkLVal(expr); this.next(); expr = this.finishNode(node$1, "UpdateExpression"); } } if (!sawUnary && this.eat(types.starstar)) { return this.buildBinary(startPos, startLoc, expr, this.parseMaybeUnary(null, false), "**", false) } else { return expr } }; // Parse call, dot, and `[]`-subscript expressions. pp$3.parseExprSubscripts = function(refDestructuringErrors) { var startPos = this.start, startLoc = this.startLoc; var expr = this.parseExprAtom(refDestructuringErrors); var skipArrowSubscripts = expr.type === "ArrowFunctionExpression" && this.input.slice(this.lastTokStart, this.lastTokEnd) !== ")"; if (this.checkExpressionErrors(refDestructuringErrors) || skipArrowSubscripts) { return expr } var result = this.parseSubscripts(expr, startPos, startLoc); if (refDestructuringErrors && result.type === "MemberExpression") { if (refDestructuringErrors.parenthesizedAssign >= result.start) { refDestructuringErrors.parenthesizedAssign = -1; } if (refDestructuringErrors.parenthesizedBind >= result.start) { refDestructuringErrors.parenthesizedBind = -1; } } return result }; pp$3.parseSubscripts = function(base, startPos, startLoc, noCalls) { var maybeAsyncArrow = this.options.ecmaVersion >= 8 && base.type === "Identifier" && base.name === "async" && this.lastTokEnd === base.end && !this.canInsertSemicolon() && this.input.slice(base.start, base.end) === "async"; while (true) { var element = this.parseSubscript(base, startPos, startLoc, noCalls, maybeAsyncArrow); if (element === base || element.type === "ArrowFunctionExpression") { return element } base = element; } }; pp$3.parseSubscript = function(base, startPos, startLoc, noCalls, maybeAsyncArrow) { var computed = this.eat(types.bracketL); if (computed || this.eat(types.dot)) { var node = this.startNodeAt(startPos, startLoc); node.object = base; node.property = computed ? this.parseExpression() : this.parseIdent(this.options.allowReserved !== "never"); node.computed = !!computed; if (computed) { this.expect(types.bracketR); } base = this.finishNode(node, "MemberExpression"); } else if (!noCalls && this.eat(types.parenL)) { var refDestructuringErrors = new DestructuringErrors, oldYieldPos = this.yieldPos, oldAwaitPos = this.awaitPos, oldAwaitIdentPos = this.awaitIdentPos; this.yieldPos = 0; this.awaitPos = 0; this.awaitIdentPos = 0; var exprList = this.parseExprList(types.parenR, this.options.ecmaVersion >= 8 && base.type !== "Import", false, refDestructuringErrors); if (maybeAsyncArrow && !this.canInsertSemicolon() && this.eat(types.arrow)) { this.checkPatternErrors(refDestructuringErrors, false); this.checkYieldAwaitInDefaultParams(); if (this.awaitIdentPos > 0) { this.raise(this.awaitIdentPos, "Cannot use 'await' as identifier inside an async function"); } this.yieldPos = oldYieldPos; this.awaitPos = oldAwaitPos; this.awaitIdentPos = oldAwaitIdentPos; return this.parseArrowExpression(this.startNodeAt(startPos, startLoc), exprList, true) } this.checkExpressionErrors(refDestructuringErrors, true); this.yieldPos = oldYieldPos || this.yieldPos; this.awaitPos = oldAwaitPos || this.awaitPos; this.awaitIdentPos = oldAwaitIdentPos || this.awaitIdentPos; var node$1 = this.startNodeAt(startPos, startLoc); node$1.callee = base; node$1.arguments = exprList; if (node$1.callee.type === "Import") { if (node$1.arguments.length !== 1) { this.raise(node$1.start, "import() requires exactly one argument"); } var importArg = node$1.arguments[0]; if (importArg && importArg.type === "SpreadElement") { this.raise(importArg.start, "... is not allowed in import()"); } } base = this.finishNode(node$1, "CallExpression"); } else if (this.type === types.backQuote) { var node$2 = this.startNodeAt(startPos, startLoc); node$2.tag = base; node$2.quasi = this.parseTemplate({isTagged: true}); base = this.finishNode(node$2, "TaggedTemplateExpression"); } return base }; // Parse an atomic expression — either a single token that is an // expression, an expression started by a keyword like `function` or // `new`, or an expression wrapped in punctuation like `()`, `[]`, // or `{}`. pp$3.parseExprAtom = function(refDestructuringErrors) { // If a division operator appears in an expression position, the // tokenizer got confused, and we force it to read a regexp instead. if (this.type === types.slash) { this.readRegexp(); } var node, canBeArrow = this.potentialArrowAt === this.start; switch (this.type) { case types._super: if (!this.allowSuper) { this.raise(this.start, "'super' keyword outside a method"); } node = this.startNode(); this.next(); if (this.type === types.parenL && !this.allowDirectSuper) { this.raise(node.start, "super() call outside constructor of a subclass"); } // The `super` keyword can appear at below: // SuperProperty: // super [ Expression ] // super . IdentifierName // SuperCall: // super Arguments if (this.type !== types.dot && this.type !== types.bracketL && this.type !== types.parenL) { this.unexpected(); } return this.finishNode(node, "Super") case types._this: node = this.startNode(); this.next(); return this.finishNode(node, "ThisExpression") case types.name: var startPos = this.start, startLoc = this.startLoc, containsEsc = this.containsEsc; var id = this.parseIdent(false); if (this.options.ecmaVersion >= 8 && !containsEsc && id.name === "async" && !this.canInsertSemicolon() && this.eat(types._function)) { return this.parseFunction(this.startNodeAt(startPos, startLoc), 0, false, true) } if (canBeArrow && !this.canInsertSemicolon()) { if (this.eat(types.arrow)) { return this.parseArrowExpression(this.startNodeAt(startPos, startLoc), [id], false) } if (this.options.ecmaVersion >= 8 && id.name === "async" && this.type === types.name && !containsEsc) { id = this.parseIdent(false); if (this.canInsertSemicolon() || !this.eat(types.arrow)) { this.unexpected(); } return this.parseArrowExpression(this.startNodeAt(startPos, startLoc), [id], true) } } return id case types.regexp: var value = this.value; node = this.parseLiteral(value.value); node.regex = {pattern: value.pattern, flags: value.flags}; return node case types.num: case types.string: return this.parseLiteral(this.value) case types._null: case types._true: case types._false: node = this.startNode(); node.value = this.type === types._null ? null : this.type === types._true; node.raw = this.type.keyword; this.next(); return this.finishNode(node, "Literal") case types.parenL: var start = this.start, expr = this.parseParenAndDistinguishExpression(canBeArrow); if (refDestructuringErrors) { if (refDestructuringErrors.parenthesizedAssign < 0 && !this.isSimpleAssignTarget(expr)) { refDestructuringErrors.parenthesizedAssign = start; } if (refDestructuringErrors.parenthesizedBind < 0) { refDestructuringErrors.parenthesizedBind = start; } } return expr case types.bracketL: node = this.startNode(); this.next(); node.elements = this.parseExprList(types.bracketR, true, true, refDestructuringErrors); return this.finishNode(node, "ArrayExpression") case types.braceL: return this.parseObj(false, refDestructuringErrors) case types._function: node = this.startNode(); this.next(); return this.parseFunction(node, 0) case types._class: return this.parseClass(this.startNode(), false) case types._new: return this.parseNew() case types.backQuote: return this.parseTemplate() case types._import: if (this.options.ecmaVersion > 10) { return this.parseDynamicImport() } else { return this.unexpected() } default: this.unexpected(); } }; pp$3.parseDynamicImport = function() { var node = this.startNode(); this.next(); if (this.type !== types.parenL) { this.unexpected(); } return this.finishNode(node, "Import") }; pp$3.parseLiteral = function(value) { var node = this.startNode(); node.value = value; node.raw = this.input.slice(this.start, this.end); if (node.raw.charCodeAt(node.raw.length - 1) === 110) { node.bigint = node.raw.slice(0, -1); } this.next(); return this.finishNode(node, "Literal") }; pp$3.parseParenExpression = function() { this.expect(types.parenL); var val = this.parseExpression(); this.expect(types.parenR); return val }; pp$3.parseParenAndDistinguishExpression = function(canBeArrow) { var startPos = this.start, startLoc = this.startLoc, val, allowTrailingComma = this.options.ecmaVersion >= 8; if (this.options.ecmaVersion >= 6) { this.next(); var innerStartPos = this.start, innerStartLoc = this.startLoc; var exprList = [], first = true, lastIsComma = false; var refDestructuringErrors = new DestructuringErrors, oldYieldPos = this.yieldPos, oldAwaitPos = this.awaitPos, spreadStart; this.yieldPos = 0; this.awaitPos = 0; // Do not save awaitIdentPos to allow checking awaits nested in parameters while (this.type !== types.parenR) { first ? first = false : this.expect(types.comma); if (allowTrailingComma && this.afterTrailingComma(types.parenR, true)) { lastIsComma = true; break } else if (this.type === types.ellipsis) { spreadStart = this.start; exprList.push(this.parseParenItem(this.parseRestBinding())); if (this.type === types.comma) { this.raise(this.start, "Comma is not permitted after the rest element"); } break } else { exprList.push(this.parseMaybeAssign(false, refDestructuringErrors, this.parseParenItem)); } } var innerEndPos = this.start, innerEndLoc = this.startLoc; this.expect(types.parenR); if (canBeArrow && !this.canInsertSemicolon() && this.eat(types.arrow)) { this.checkPatternErrors(refDestructuringErrors, false); this.checkYieldAwaitInDefaultParams(); this.yieldPos = oldYieldPos; this.awaitPos = oldAwaitPos; return this.parseParenArrowList(startPos, startLoc, exprList) } if (!exprList.length || lastIsComma) { this.unexpected(this.lastTokStart); } if (spreadStart) { this.unexpected(spreadStart); } this.checkExpressionErrors(refDestructuringErrors, true); this.yieldPos = oldYieldPos || this.yieldPos; this.awaitPos = oldAwaitPos || this.awaitPos; if (exprList.length > 1) { val = this.startNodeAt(innerStartPos, innerStartLoc); val.expressions = exprList; this.finishNodeAt(val, "SequenceExpression", innerEndPos, innerEndLoc); } else { val = exprList[0]; } } else { val = this.parseParenExpression(); } if (this.options.preserveParens) { var par = this.startNodeAt(startPos, startLoc); par.expression = val; return this.finishNode(par, "ParenthesizedExpression") } else { return val } }; pp$3.parseParenItem = function(item) { return item }; pp$3.parseParenArrowList = function(startPos, startLoc, exprList) { return this.parseArrowExpression(this.startNodeAt(startPos, startLoc), exprList) }; // New's precedence is slightly tricky. It must allow its argument to // be a `[]` or dot subscript expression, but not a call — at least, // not without wrapping it in parentheses. Thus, it uses the noCalls // argument to parseSubscripts to prevent it from consuming the // argument list. var empty$1 = []; pp$3.parseNew = function() { var node = this.startNode(); var meta = this.parseIdent(true); if (this.options.ecmaVersion >= 6 && this.eat(types.dot)) { node.meta = meta; var containsEsc = this.containsEsc; node.property = this.parseIdent(true); if (node.property.name !== "target" || containsEsc) { this.raiseRecoverable(node.property.start, "The only valid meta property for new is new.target"); } if (!this.inNonArrowFunction()) { this.raiseRecoverable(node.start, "new.target can only be used in functions"); } return this.finishNode(node, "MetaProperty") } var startPos = this.start, startLoc = this.startLoc; node.callee = this.parseSubscripts(this.parseExprAtom(), startPos, startLoc, true); if (this.options.ecmaVersion > 10 && node.callee.type === "Import") { this.raise(node.callee.start, "Cannot use new with import(...)"); } if (this.eat(types.parenL)) { node.arguments = this.parseExprList(types.parenR, this.options.ecmaVersion >= 8 && node.callee.type !== "Import", false); } else { node.arguments = empty$1; } return this.finishNode(node, "NewExpression") }; // Parse template expression. pp$3.parseTemplateElement = function(ref) { var isTagged = ref.isTagged; var elem = this.startNode(); if (this.type === types.invalidTemplate) { if (!isTagged) { this.raiseRecoverable(this.start, "Bad escape sequence in untagged template literal"); } elem.value = { raw: this.value, cooked: null }; } else { elem.value = { raw: this.input.slice(this.start, this.end).replace(/\r\n?/g, "\n"), cooked: this.value }; } this.next(); elem.tail = this.type === types.backQuote; return this.finishNode(elem, "TemplateElement") }; pp$3.parseTemplate = function(ref) { if ( ref === void 0 ) ref = {}; var isTagged = ref.isTagged; if ( isTagged === void 0 ) isTagged = false; var node = this.startNode(); this.next(); node.expressions = []; var curElt = this.parseTemplateElement({isTagged: isTagged}); node.quasis = [curElt]; while (!curElt.tail) { if (this.type === types.eof) { this.raise(this.pos, "Unterminated template literal"); } this.expect(types.dollarBraceL); node.expressions.push(this.parseExpression()); this.expect(types.braceR); node.quasis.push(curElt = this.parseTemplateElement({isTagged: isTagged})); } this.next(); return this.finishNode(node, "TemplateLiteral") }; pp$3.isAsyncProp = function(prop) { return !prop.computed && prop.key.type === "Identifier" && prop.key.name === "async" && (this.type === types.name || this.type === types.num || this.type === types.string || this.type === types.bracketL || this.type.keyword || (this.options.ecmaVersion >= 9 && this.type === types.star)) && !lineBreak.test(this.input.slice(this.lastTokEnd, this.start)) }; // Parse an object literal or binding pattern. pp$3.parseObj = function(isPattern, refDestructuringErrors) { var node = this.startNode(), first = true, propHash = {}; node.properties = []; this.next(); while (!this.eat(types.braceR)) { if (!first) { this.expect(types.comma); if (this.afterTrailingComma(types.braceR)) { break } } else { first = false; } var prop = this.parseProperty(isPattern, refDestructuringErrors); if (!isPattern) { this.checkPropClash(prop, propHash, refDestructuringErrors); } node.properties.push(prop); } return this.finishNode(node, isPattern ? "ObjectPattern" : "ObjectExpression") }; pp$3.parseProperty = function(isPattern, refDestructuringErrors) { var prop = this.startNode(), isGenerator, isAsync, startPos, startLoc; if (this.options.ecmaVersion >= 9 && this.eat(types.ellipsis)) { if (isPattern) { prop.argument = this.parseIdent(false); if (this.type === types.comma) { this.raise(this.start, "Comma is not permitted after the rest element"); } return this.finishNode(prop, "RestElement") } // To disallow parenthesized identifier via `this.toAssignable()`. if (this.type === types.parenL && refDestructuringErrors) { if (refDestructuringErrors.parenthesizedAssign < 0) { refDestructuringErrors.parenthesizedAssign = this.start; } if (refDestructuringErrors.parenthesizedBind < 0) { refDestructuringErrors.parenthesizedBind = this.start; } } // Parse argument. prop.argument = this.parseMaybeAssign(false, refDestructuringErrors); // To disallow trailing comma via `this.toAssignable()`. if (this.type === types.comma && refDestructuringErrors && refDestructuringErrors.trailingComma < 0) { refDestructuringErrors.trailingComma = this.start; } // Finish return this.finishNode(prop, "SpreadElement") } if (this.options.ecmaVersion >= 6) { prop.method = false; prop.shorthand = false; if (isPattern || refDestructuringErrors) { startPos = this.start; startLoc = this.startLoc; } if (!isPattern) { isGenerator = this.eat(types.star); } } var containsEsc = this.containsEsc; this.parsePropertyName(prop); if (!isPattern && !containsEsc && this.options.ecmaVersion >= 8 && !isGenerator && this.isAsyncProp(prop)) { isAsync = true; isGenerator = this.options.ecmaVersion >= 9 && this.eat(types.star); this.parsePropertyName(prop, refDestructuringErrors); } else { isAsync = false; } this.parsePropertyValue(prop, isPattern, isGenerator, isAsync, startPos, startLoc, refDestructuringErrors, containsEsc); return this.finishNode(prop, "Property") }; pp$3.parsePropertyValue = function(prop, isPattern, isGenerator, isAsync, startPos, startLoc, refDestructuringErrors, containsEsc) { if ((isGenerator || isAsync) && this.type === types.colon) { this.unexpected(); } if (this.eat(types.colon)) { prop.value = isPattern ? this.parseMaybeDefault(this.start, this.startLoc) : this.parseMaybeAssign(false, refDestructuringErrors); prop.kind = "init"; } else if (this.options.ecmaVersion >= 6 && this.type === types.parenL) { if (isPattern) { this.unexpected(); } prop.kind = "init"; prop.method = true; prop.value = this.parseMethod(isGenerator, isAsync); } else if (!isPattern && !containsEsc && this.options.ecmaVersion >= 5 && !prop.computed && prop.key.type === "Identifier" && (prop.key.name === "get" || prop.key.name === "set") && (this.type !== types.comma && this.type !== types.braceR)) { if (isGenerator || isAsync) { this.unexpected(); } prop.kind = prop.key.name; this.parsePropertyName(prop); prop.value = this.parseMethod(false); var paramCount = prop.kind === "get" ? 0 : 1; if (prop.value.params.length !== paramCount) { var start = prop.value.start; if (prop.kind === "get") { this.raiseRecoverable(start, "getter should have no params"); } else { this.raiseRecoverable(start, "setter should have exactly one param"); } } else { if (prop.kind === "set" && prop.value.params[0].type === "RestElement") { this.raiseRecoverable(prop.value.params[0].start, "Setter cannot use rest params"); } } } else if (this.options.ecmaVersion >= 6 && !prop.computed && prop.key.type === "Identifier") { if (isGenerator || isAsync) { this.unexpected(); } this.checkUnreserved(prop.key); if (prop.key.name === "await" && !this.awaitIdentPos) { this.awaitIdentPos = startPos; } prop.kind = "init"; if (isPattern) { prop.value = this.parseMaybeDefault(startPos, startLoc, prop.key); } else if (this.type === types.eq && refDestructuringErrors) { if (refDestructuringErrors.shorthandAssign < 0) { refDestructuringErrors.shorthandAssign = this.start; } prop.value = this.parseMaybeDefault(startPos, startLoc, prop.key); } else { prop.value = prop.key; } prop.shorthand = true; } else { this.unexpected(); } }; pp$3.parsePropertyName = function(prop) { if (this.options.ecmaVersion >= 6) { if (this.eat(types.bracketL)) { prop.computed = true; prop.key = this.parseMaybeAssign(); this.expect(types.bracketR); return prop.key } else { prop.computed = false; } } return prop.key = this.type === types.num || this.type === types.string ? this.parseExprAtom() : this.parseIdent(this.options.allowReserved !== "never") }; // Initialize empty function node. pp$3.initFunction = function(node) { node.id = null; if (this.options.ecmaVersion >= 6) { node.generator = node.expression = false; } if (this.options.ecmaVersion >= 8) { node.async = false; } }; // Parse object or class method. pp$3.parseMethod = function(isGenerator, isAsync, allowDirectSuper) { var node = this.startNode(), oldYieldPos = this.yieldPos, oldAwaitPos = this.awaitPos, oldAwaitIdentPos = this.awaitIdentPos; this.initFunction(node); if (this.options.ecmaVersion >= 6) { node.generator = isGenerator; } if (this.options.ecmaVersion >= 8) { node.async = !!isAsync; } this.yieldPos = 0; this.awaitPos = 0; this.awaitIdentPos = 0; this.enterScope(functionFlags(isAsync, node.generator) | SCOPE_SUPER | (allowDirectSuper ? SCOPE_DIRECT_SUPER : 0)); this.expect(types.parenL); node.params = this.parseBindingList(types.parenR, false, this.options.ecmaVersion >= 8); this.checkYieldAwaitInDefaultParams(); this.parseFunctionBody(node, false, true); this.yieldPos = oldYieldPos; this.awaitPos = oldAwaitPos; this.awaitIdentPos = oldAwaitIdentPos; return this.finishNode(node, "FunctionExpression") }; // Parse arrow function expression with given parameters. pp$3.parseArrowExpression = function(node, params, isAsync) { var oldYieldPos = this.yieldPos, oldAwaitPos = this.awaitPos, oldAwaitIdentPos = this.awaitIdentPos; this.enterScope(functionFlags(isAsync, false) | SCOPE_ARROW); this.initFunction(node); if (this.options.ecmaVersion >= 8) { node.async = !!isAsync; } this.yieldPos = 0; this.awaitPos = 0; this.awaitIdentPos = 0; node.params = this.toAssignableList(params, true); this.parseFunctionBody(node, true, false); this.yieldPos = oldYieldPos; this.awaitPos = oldAwaitPos; this.awaitIdentPos = oldAwaitIdentPos; return this.finishNode(node, "ArrowFunctionExpression") }; // Parse function body and check parameters. pp$3.parseFunctionBody = function(node, isArrowFunction, isMethod) { var isExpression = isArrowFunction && this.type !== types.braceL; var oldStrict = this.strict, useStrict = false; if (isExpression) { node.body = this.parseMaybeAssign(); node.expression = true; this.checkParams(node, false); } else { var nonSimple = this.options.ecmaVersion >= 7 && !this.isSimpleParamList(node.params); if (!oldStrict || nonSimple) { useStrict = this.strictDirective(this.end); // If this is a strict mode function, verify that argument names // are not repeated, and it does not try to bind the words `eval` // or `arguments`. if (useStrict && nonSimple) { this.raiseRecoverable(node.start, "Illegal 'use strict' directive in function with non-simple parameter list"); } } // Start a new scope with regard to labels and the `inFunction` // flag (restore them to their old value afterwards). var oldLabels = this.labels; this.labels = []; if (useStrict) { this.strict = true; } // Add the params to varDeclaredNames to ensure that an error is thrown // if a let/const declaration in the function clashes with one of the params. this.checkParams(node, !oldStrict && !useStrict && !isArrowFunction && !isMethod && this.isSimpleParamList(node.params)); node.body = this.parseBlock(false); node.expression = false; this.adaptDirectivePrologue(node.body.body); this.labels = oldLabels; } this.exitScope(); // Ensure the function name isn't a forbidden identifier in strict mode, e.g. 'eval' if (this.strict && node.id) { this.checkLVal(node.id, BIND_OUTSIDE); } this.strict = oldStrict; }; pp$3.isSimpleParamList = function(params) { for (var i = 0, list = params; i < list.length; i += 1) { var param = list[i]; if (param.type !== "Identifier") { return false } } return true }; // Checks function params for various disallowed patterns such as using "eval" // or "arguments" and duplicate parameters. pp$3.checkParams = function(node, allowDuplicates) { var nameHash = {}; for (var i = 0, list = node.params; i < list.length; i += 1) { var param = list[i]; this.checkLVal(param, BIND_VAR, allowDuplicates ? null : nameHash); } }; // Parses a comma-separated list of expressions, and returns them as // an array. `close` is the token type that ends the list, and // `allowEmpty` can be turned on to allow subsequent commas with // nothing in between them to be parsed as `null` (which is needed // for array literals). pp$3.parseExprList = function(close, allowTrailingComma, allowEmpty, refDestructuringErrors) { var elts = [], first = true; while (!this.eat(close)) { if (!first) { this.expect(types.comma); if (allowTrailingComma && this.afterTrailingComma(close)) { break } } else { first = false; } var elt = (void 0); if (allowEmpty && this.type === types.comma) { elt = null; } else if (this.type === types.ellipsis) { elt = this.parseSpread(refDestructuringErrors); if (refDestructuringErrors && this.type === types.comma && refDestructuringErrors.trailingComma < 0) { refDestructuringErrors.trailingComma = this.start; } } else { elt = this.parseMaybeAssign(false, refDestructuringErrors); } elts.push(elt); } return elts }; pp$3.checkUnreserved = function(ref) { var start = ref.start; var end = ref.end; var name = ref.name; if (this.inGenerator && name === "yield") { this.raiseRecoverable(start, "Cannot use 'yield' as identifier inside a generator"); } if (this.inAsync && name === "await") { this.raiseRecoverable(start, "Cannot use 'await' as identifier inside an async function"); } if (this.keywords.test(name)) { this.raise(start, ("Unexpected keyword '" + name + "'")); } if (this.options.ecmaVersion < 6 && this.input.slice(start, end).indexOf("\\") !== -1) { return } var re = this.strict ? this.reservedWordsStrict : this.reservedWords; if (re.test(name)) { if (!this.inAsync && name === "await") { this.raiseRecoverable(start, "Cannot use keyword 'await' outside an async function"); } this.raiseRecoverable(start, ("The keyword '" + name + "' is reserved")); } }; // Parse the next token as an identifier. If `liberal` is true (used // when parsing properties), it will also convert keywords into // identifiers. pp$3.parseIdent = function(liberal, isBinding) { var node = this.startNode(); if (this.type === types.name) { node.name = this.value; } else if (this.type.keyword) { node.name = this.type.keyword; // To fix https://github.com/acornjs/acorn/issues/575 // `class` and `function` keywords push new context into this.context. // But there is no chance to pop the context if the keyword is consumed as an identifier such as a property name. // If the previous token is a dot, this does not apply because the context-managing code already ignored the keyword if ((node.name === "class" || node.name === "function") && (this.lastTokEnd !== this.lastTokStart + 1 || this.input.charCodeAt(this.lastTokStart) !== 46)) { this.context.pop(); } } else { this.unexpected(); } this.next(); this.finishNode(node, "Identifier"); if (!liberal) { this.checkUnreserved(node); if (node.name === "await" && !this.awaitIdentPos) { this.awaitIdentPos = node.start; } } return node }; // Parses yield expression inside generator. pp$3.parseYield = function(noIn) { if (!this.yieldPos) { this.yieldPos = this.start; } var node = this.startNode(); this.next(); if (this.type === types.semi || this.canInsertSemicolon() || (this.type !== types.star && !this.type.startsExpr)) { node.delegate = false; node.argument = null; } else { node.delegate = this.eat(types.star); node.argument = this.parseMaybeAssign(noIn); } return this.finishNode(node, "YieldExpression") }; pp$3.parseAwait = function() { if (!this.awaitPos) { this.awaitPos = this.start; } var node = this.startNode(); this.next(); node.argument = this.parseMaybeUnary(null, true); return this.finishNode(node, "AwaitExpression") }; var pp$4 = Parser.prototype; // This function is used to raise exceptions on parse errors. It // takes an offset integer (into the current `input`) to indicate // the location of the error, attaches the position to the end // of the error message, and then raises a `SyntaxError` with that // message. pp$4.raise = function(pos, message) { var loc = getLineInfo(this.input, pos); message += " (" + loc.line + ":" + loc.column + ")"; var err = new SyntaxError(message); err.pos = pos; err.loc = loc; err.raisedAt = this.pos; throw err }; pp$4.raiseRecoverable = pp$4.raise; pp$4.curPosition = function() { if (this.options.locations) { return new Position(this.curLine, this.pos - this.lineStart) } }; var pp$5 = Parser.prototype; var Scope = function Scope(flags) { this.flags = flags; // A list of var-declared names in the current lexical scope this.var = []; // A list of lexically-declared names in the current lexical scope this.lexical = []; // A list of lexically-declared FunctionDeclaration names in the current lexical scope this.functions = []; }; // The functions in this module keep track of declared variables in the current scope in order to detect duplicate variable names. pp$5.enterScope = function(flags) { this.scopeStack.push(new Scope(flags)); }; pp$5.exitScope = function() { this.scopeStack.pop(); }; // The spec says: // > At the top level of a function, or script, function declarations are // > treated like var declarations rather than like lexical declarations. pp$5.treatFunctionsAsVarInScope = function(scope) { return (scope.flags & SCOPE_FUNCTION) || !this.inModule && (scope.flags & SCOPE_TOP) }; pp$5.declareName = function(name, bindingType, pos) { var redeclared = false; if (bindingType === BIND_LEXICAL) { var scope = this.currentScope(); redeclared = scope.lexical.indexOf(name) > -1 || scope.functions.indexOf(name) > -1 || scope.var.indexOf(name) > -1; scope.lexical.push(name); if (this.inModule && (scope.flags & SCOPE_TOP)) { delete this.undefinedExports[name]; } } else if (bindingType === BIND_SIMPLE_CATCH) { var scope$1 = this.currentScope(); scope$1.lexical.push(name); } else if (bindingType === BIND_FUNCTION) { var scope$2 = this.currentScope(); if (this.treatFunctionsAsVar) { redeclared = scope$2.lexical.indexOf(name) > -1; } else { redeclared = scope$2.lexical.indexOf(name) > -1 || scope$2.var.indexOf(name) > -1; } scope$2.functions.push(name); } else { for (var i = this.scopeStack.length - 1; i >= 0; --i) { var scope$3 = this.scopeStack[i]; if (scope$3.lexical.indexOf(name) > -1 && !((scope$3.flags & SCOPE_SIMPLE_CATCH) && scope$3.lexical[0] === name) || !this.treatFunctionsAsVarInScope(scope$3) && scope$3.functions.indexOf(name) > -1) { redeclared = true; break } scope$3.var.push(name); if (this.inModule && (scope$3.flags & SCOPE_TOP)) { delete this.undefinedExports[name]; } if (scope$3.flags & SCOPE_VAR) { break } } } if (redeclared) { this.raiseRecoverable(pos, ("Identifier '" + name + "' has already been declared")); } }; pp$5.checkLocalExport = function(id) { // scope.functions must be empty as Module code is always strict. if (this.scopeStack[0].lexical.indexOf(id.name) === -1 && this.scopeStack[0].var.indexOf(id.name) === -1) { this.undefinedExports[id.name] = id; } }; pp$5.currentScope = function() { return this.scopeStack[this.scopeStack.length - 1] }; pp$5.currentVarScope = function() { for (var i = this.scopeStack.length - 1;; i--) { var scope = this.scopeStack[i]; if (scope.flags & SCOPE_VAR) { return scope } } }; // Could be useful for `this`, `new.target`, `super()`, `super.property`, and `super[property]`. pp$5.currentThisScope = function() { for (var i = this.scopeStack.length - 1;; i--) { var scope = this.scopeStack[i]; if (scope.flags & SCOPE_VAR && !(scope.flags & SCOPE_ARROW)) { return scope } } }; var Node = function Node(parser, pos, loc) { this.type = ""; this.start = pos; this.end = 0; if (parser.options.locations) { this.loc = new SourceLocation(parser, loc); } if (parser.options.directSourceFile) { this.sourceFile = parser.options.directSourceFile; } if (parser.options.ranges) { this.range = [pos, 0]; } }; // Start an AST node, attaching a start offset. var pp$6 = Parser.prototype; pp$6.startNode = function() { return new Node(this, this.start, this.startLoc) }; pp$6.startNodeAt = function(pos, loc) { return new Node(this, pos, loc) }; // Finish an AST node, adding `type` and `end` properties. function finishNodeAt(node, type, pos, loc) { node.type = type; node.end = pos; if (this.options.locations) { node.loc.end = loc; } if (this.options.ranges) { node.range[1] = pos; } return node } pp$6.finishNode = function(node, type) { return finishNodeAt.call(this, node, type, this.lastTokEnd, this.lastTokEndLoc) }; // Finish node at given position pp$6.finishNodeAt = function(node, type, pos, loc) { return finishNodeAt.call(this, node, type, pos, loc) }; // The algorithm used to determine whether a regexp can appear at a var TokContext = function TokContext(token, isExpr, preserveSpace, override, generator) { this.token = token; this.isExpr = !!isExpr; this.preserveSpace = !!preserveSpace; this.override = override; this.generator = !!generator; }; var types$1 = { b_stat: new TokContext("{", false), b_expr: new TokContext("{", true), b_tmpl: new TokContext("${", false), p_stat: new TokContext("(", false), p_expr: new TokContext("(", true), q_tmpl: new TokContext("`", true, true, function (p) { return p.tryReadTemplateToken(); }), f_stat: new TokContext("function", false), f_expr: new TokContext("function", true), f_expr_gen: new TokContext("function", true, false, null, true), f_gen: new TokContext("function", false, false, null, true) }; var pp$7 = Parser.prototype; pp$7.initialContext = function() { return [types$1.b_stat] }; pp$7.braceIsBlock = function(prevType) { var parent = this.curContext(); if (parent === types$1.f_expr || parent === types$1.f_stat) { return true } if (prevType === types.colon && (parent === types$1.b_stat || parent === types$1.b_expr)) { return !parent.isExpr } // The check for `tt.name && exprAllowed` detects whether we are // after a `yield` or `of` construct. See the `updateContext` for // `tt.name`. if (prevType === types._return || prevType === types.name && this.exprAllowed) { return lineBreak.test(this.input.slice(this.lastTokEnd, this.start)) } if (prevType === types._else || prevType === types.semi || prevType === types.eof || prevType === types.parenR || prevType === types.arrow) { return true } if (prevType === types.braceL) { return parent === types$1.b_stat } if (prevType === types._var || prevType === types._const || prevType === types.name) { return false } return !this.exprAllowed }; pp$7.inGeneratorContext = function() { for (var i = this.context.length - 1; i >= 1; i--) { var context = this.context[i]; if (context.token === "function") { return context.generator } } return false }; pp$7.updateContext = function(prevType) { var update, type = this.type; if (type.keyword && prevType === types.dot) { this.exprAllowed = false; } else if (update = type.updateContext) { update.call(this, prevType); } else { this.exprAllowed = type.beforeExpr; } }; // Token-specific context update code types.parenR.updateContext = types.braceR.updateContext = function() { if (this.context.length === 1) { this.exprAllowed = true; return } var out = this.context.pop(); if (out === types$1.b_stat && this.curContext().token === "function") { out = this.context.pop(); } this.exprAllowed = !out.isExpr; }; types.braceL.updateContext = function(prevType) { this.context.push(this.braceIsBlock(prevType) ? types$1.b_stat : types$1.b_expr); this.exprAllowed = true; }; types.dollarBraceL.updateContext = function() { this.context.push(types$1.b_tmpl); this.exprAllowed = true; }; types.parenL.updateContext = function(prevType) { var statementParens = prevType === types._if || prevType === types._for || prevType === types._with || prevType === types._while; this.context.push(statementParens ? types$1.p_stat : types$1.p_expr); this.exprAllowed = true; }; types.incDec.updateContext = function() { // tokExprAllowed stays unchanged }; types._function.updateContext = types._class.updateContext = function(prevType) { if (prevType.beforeExpr && prevType !== types.semi && prevType !== types._else && !(prevType === types._return && lineBreak.test(this.input.slice(this.lastTokEnd, this.start))) && !((prevType === types.colon || prevType === types.braceL) && this.curContext() === types$1.b_stat)) { this.context.push(types$1.f_expr); } else { this.context.push(types$1.f_stat); } this.exprAllowed = false; }; types.backQuote.updateContext = function() { if (this.curContext() === types$1.q_tmpl) { this.context.pop(); } else { this.context.push(types$1.q_tmpl); } this.exprAllowed = false; }; types.star.updateContext = function(prevType) { if (prevType === types._function) { var index = this.context.length - 1; if (this.context[index] === types$1.f_expr) { this.context[index] = types$1.f_expr_gen; } else { this.context[index] = types$1.f_gen; } } this.exprAllowed = true; }; types.name.updateContext = function(prevType) { var allowed = false; if (this.options.ecmaVersion >= 6 && prevType !== types.dot) { if (this.value === "of" && !this.exprAllowed || this.value === "yield" && this.inGeneratorContext()) { allowed = true; } } this.exprAllowed = allowed; }; // This file contains Unicode properties extracted from the ECMAScript // specification. The lists are extracted like so: // $$('#table-binary-unicode-properties > figure > table > tbody > tr > td:nth-child(1) code').map(el => el.innerText) // #table-binary-unicode-properties var ecma9BinaryProperties = "ASCII ASCII_Hex_Digit AHex Alphabetic Alpha Any Assigned Bidi_Control Bidi_C Bidi_Mirrored Bidi_M Case_Ignorable CI Cased Changes_When_Casefolded CWCF Changes_When_Casemapped CWCM Changes_When_Lowercased CWL Changes_When_NFKC_Casefolded CWKCF Changes_When_Titlecased CWT Changes_When_Uppercased CWU Dash Default_Ignorable_Code_Point DI Deprecated Dep Diacritic Dia Emoji Emoji_Component Emoji_Modifier Emoji_Modifier_Base Emoji_Presentation Extender Ext Grapheme_Base Gr_Base Grapheme_Extend Gr_Ext Hex_Digit Hex IDS_Binary_Operator IDSB IDS_Trinary_Operator IDST ID_Continue IDC ID_Start IDS Ideographic Ideo Join_Control Join_C Logical_Order_Exception LOE Lowercase Lower Math Noncharacter_Code_Point NChar Pattern_Syntax Pat_Syn Pattern_White_Space Pat_WS Quotation_Mark QMark Radical Regional_Indicator RI Sentence_Terminal STerm Soft_Dotted SD Terminal_Punctuation Term Unified_Ideograph UIdeo Uppercase Upper Variation_Selector VS White_Space space XID_Continue XIDC XID_Start XIDS"; var ecma10BinaryProperties = ecma9BinaryProperties + " Extended_Pictographic"; var ecma11BinaryProperties = ecma10BinaryProperties; var unicodeBinaryProperties = { 9: ecma9BinaryProperties, 10: ecma10BinaryProperties, 11: ecma11BinaryProperties }; // #table-unicode-general-category-values var unicodeGeneralCategoryValues = "Cased_Letter LC Close_Punctuation Pe Connector_Punctuation Pc Control Cc cntrl Currency_Symbol Sc Dash_Punctuation Pd Decimal_Number Nd digit Enclosing_Mark Me Final_Punctuation Pf Format Cf Initial_Punctuation Pi Letter L Letter_Number Nl Line_Separator Zl Lowercase_Letter Ll Mark M Combining_Mark Math_Symbol Sm Modifier_Letter Lm Modifier_Symbol Sk Nonspacing_Mark Mn Number N Open_Punctuation Ps Other C Other_Letter Lo Other_Number No Other_Punctuation Po Other_Symbol So Paragraph_Separator Zp Private_Use Co Punctuation P punct Separator Z Space_Separator Zs Spacing_Mark Mc Surrogate Cs Symbol S Titlecase_Letter Lt Unassigned Cn Uppercase_Letter Lu"; // #table-unicode-script-values var ecma9ScriptValues = "Adlam Adlm Ahom Ahom Anatolian_Hieroglyphs Hluw Arabic Arab Armenian Armn Avestan Avst Balinese Bali Bamum Bamu Bassa_Vah Bass Batak Batk Bengali Beng Bhaiksuki Bhks Bopomofo Bopo Brahmi Brah Braille Brai Buginese Bugi Buhid Buhd Canadian_Aboriginal Cans Carian Cari Caucasian_Albanian Aghb Chakma Cakm Cham Cham Cherokee Cher Common Zyyy Coptic Copt Qaac Cuneiform Xsux Cypriot Cprt Cyrillic Cyrl Deseret Dsrt Devanagari Deva Duployan Dupl Egyptian_Hieroglyphs Egyp Elbasan Elba Ethiopic Ethi Georgian Geor Glagolitic Glag Gothic Goth Grantha Gran Greek Grek Gujarati Gujr Gurmukhi Guru Han Hani Hangul Hang Hanunoo Hano Hatran Hatr Hebrew Hebr Hiragana Hira Imperial_Aramaic Armi Inherited Zinh Qaai Inscriptional_Pahlavi Phli Inscriptional_Parthian Prti Javanese Java Kaithi Kthi Kannada Knda Katakana Kana Kayah_Li Kali Kharoshthi Khar Khmer Khmr Khojki Khoj Khudawadi Sind Lao Laoo Latin Latn Lepcha Lepc Limbu Limb Linear_A Lina Linear_B Linb Lisu Lisu Lycian Lyci Lydian Lydi Mahajani Mahj Malayalam Mlym Mandaic Mand Manichaean Mani Marchen Marc Masaram_Gondi Gonm Meetei_Mayek Mtei Mende_Kikakui Mend Meroitic_Cursive Merc Meroitic_Hieroglyphs Mero Miao Plrd Modi Modi Mongolian Mong Mro Mroo Multani Mult Myanmar Mymr Nabataean Nbat New_Tai_Lue Talu Newa Newa Nko Nkoo Nushu Nshu Ogham Ogam Ol_Chiki Olck Old_Hungarian Hung Old_Italic Ital Old_North_Arabian Narb Old_Permic Perm Old_Persian Xpeo Old_South_Arabian Sarb Old_Turkic Orkh Oriya Orya Osage Osge Osmanya Osma Pahawh_Hmong Hmng Palmyrene Palm Pau_Cin_Hau Pauc Phags_Pa Phag Phoenician Phnx Psalter_Pahlavi Phlp Rejang Rjng Runic Runr Samaritan Samr Saurashtra Saur Sharada Shrd Shavian Shaw Siddham Sidd SignWriting Sgnw Sinhala Sinh Sora_Sompeng Sora Soyombo Soyo Sundanese Sund Syloti_Nagri Sylo Syriac Syrc Tagalog Tglg Tagbanwa Tagb Tai_Le Tale Tai_Tham Lana Tai_Viet Tavt Takri Takr Tamil Taml Tangut Tang Telugu Telu Thaana Thaa Thai Thai Tibetan Tibt Tifinagh Tfng Tirhuta Tirh Ugaritic Ugar Vai Vaii Warang_Citi Wara Yi Yiii Zanabazar_Square Zanb"; var ecma10ScriptValues = ecma9ScriptValues + " Dogra Dogr Gunjala_Gondi Gong Hanifi_Rohingya Rohg Makasar Maka Medefaidrin Medf Old_Sogdian Sogo Sogdian Sogd"; var ecma11ScriptValues = ecma10ScriptValues + " Elymaic Elym Nandinagari Nand Nyiakeng_Puachue_Hmong Hmnp Wancho Wcho"; var unicodeScriptValues = { 9: ecma9ScriptValues, 10: ecma10ScriptValues, 11: ecma11ScriptValues }; var data = {}; function buildUnicodeData(ecmaVersion) { var d = data[ecmaVersion] = { binary: wordsRegexp(unicodeBinaryProperties[ecmaVersion] + " " + unicodeGeneralCategoryValues), nonBinary: { General_Category: wordsRegexp(unicodeGeneralCategoryValues), Script: wordsRegexp(unicodeScriptValues[ecmaVersion]) } }; d.nonBinary.Script_Extensions = d.nonBinary.Script; d.nonBinary.gc = d.nonBinary.General_Category; d.nonBinary.sc = d.nonBinary.Script; d.nonBinary.scx = d.nonBinary.Script_Extensions; } buildUnicodeData(9); buildUnicodeData(10); buildUnicodeData(11); var pp$8 = Parser.prototype; var RegExpValidationState = function RegExpValidationState(parser) { this.parser = parser; this.validFlags = "gim" + (parser.options.ecmaVersion >= 6 ? "uy" : "") + (parser.options.ecmaVersion >= 9 ? "s" : ""); this.unicodeProperties = data[parser.options.ecmaVersion >= 11 ? 11 : parser.options.ecmaVersion]; this.source = ""; this.flags = ""; this.start = 0; this.switchU = false; this.switchN = false; this.pos = 0; this.lastIntValue = 0; this.lastStringValue = ""; this.lastAssertionIsQuantifiable = false; this.numCapturingParens = 0; this.maxBackReference = 0; this.groupNames = []; this.backReferenceNames = []; }; RegExpValidationState.prototype.reset = function reset (start, pattern, flags) { var unicode = flags.indexOf("u") !== -1; this.start = start | 0; this.source = pattern + ""; this.flags = flags; this.switchU = unicode && this.parser.options.ecmaVersion >= 6; this.switchN = unicode && this.parser.options.ecmaVersion >= 9; }; RegExpValidationState.prototype.raise = function raise (message) { this.parser.raiseRecoverable(this.start, ("Invalid regular expression: /" + (this.source) + "/: " + message)); }; // If u flag is given, this returns the code point at the index (it combines a surrogate pair). // Otherwise, this returns the code unit of the index (can be a part of a surrogate pair). RegExpValidationState.prototype.at = function at (i) { var s = this.source; var l = s.length; if (i >= l) { return -1 } var c = s.charCodeAt(i); if (!this.switchU || c <= 0xD7FF || c >= 0xE000 || i + 1 >= l) { return c } var next = s.charCodeAt(i + 1); return next >= 0xDC00 && next <= 0xDFFF ? (c << 10) + next - 0x35FDC00 : c }; RegExpValidationState.prototype.nextIndex = function nextIndex (i) { var s = this.source; var l = s.length; if (i >= l) { return l } var c = s.charCodeAt(i), next; if (!this.switchU || c <= 0xD7FF || c >= 0xE000 || i + 1 >= l || (next = s.charCodeAt(i + 1)) < 0xDC00 || next > 0xDFFF) { return i + 1 } return i + 2 }; RegExpValidationState.prototype.current = function current () { return this.at(this.pos) }; RegExpValidationState.prototype.lookahead = function lookahead () { return this.at(this.nextIndex(this.pos)) }; RegExpValidationState.prototype.advance = function advance () { this.pos = this.nextIndex(this.pos); }; RegExpValidationState.prototype.eat = function eat (ch) { if (this.current() === ch) { this.advance(); return true } return false }; function codePointToString(ch) { if (ch <= 0xFFFF) { return String.fromCharCode(ch) } ch -= 0x10000; return String.fromCharCode((ch >> 10) + 0xD800, (ch & 0x03FF) + 0xDC00) } /** * Validate the flags part of a given RegExpLiteral. * * @param {RegExpValidationState} state The state to validate RegExp. * @returns {void} */ pp$8.validateRegExpFlags = function(state) { var validFlags = state.validFlags; var flags = state.flags; for (var i = 0; i < flags.length; i++) { var flag = flags.charAt(i); if (validFlags.indexOf(flag) === -1) { this.raise(state.start, "Invalid regular expression flag"); } if (flags.indexOf(flag, i + 1) > -1) { this.raise(state.start, "Duplicate regular expression flag"); } } }; /** * Validate the pattern part of a given RegExpLiteral. * * @param {RegExpValidationState} state The state to validate RegExp. * @returns {void} */ pp$8.validateRegExpPattern = function(state) { this.regexp_pattern(state); // The goal symbol for the parse is |Pattern[~U, ~N]|. If the result of // parsing contains a |GroupName|, reparse with the goal symbol // |Pattern[~U, +N]| and use this result instead. Throw a *SyntaxError* // exception if _P_ did not conform to the grammar, if any elements of _P_ // were not matched by the parse, or if any Early Error conditions exist. if (!state.switchN && this.options.ecmaVersion >= 9 && state.groupNames.length > 0) { state.switchN = true; this.regexp_pattern(state); } }; // https://www.ecma-international.org/ecma-262/8.0/#prod-Pattern pp$8.regexp_pattern = function(state) { state.pos = 0; state.lastIntValue = 0; state.lastStringValue = ""; state.lastAssertionIsQuantifiable = false; state.numCapturingParens = 0; state.maxBackReference = 0; state.groupNames.length = 0; state.backReferenceNames.length = 0; this.regexp_disjunction(state); if (state.pos !== state.source.length) { // Make the same messages as V8. if (state.eat(0x29 /* ) */)) { state.raise("Unmatched ')'"); } if (state.eat(0x5D /* [ */) || state.eat(0x7D /* } */)) { state.raise("Lone quantifier brackets"); } } if (state.maxBackReference > state.numCapturingParens) { state.raise("Invalid escape"); } for (var i = 0, list = state.backReferenceNames; i < list.length; i += 1) { var name = list[i]; if (state.groupNames.indexOf(name) === -1) { state.raise("Invalid named capture referenced"); } } }; // https://www.ecma-international.org/ecma-262/8.0/#prod-Disjunction pp$8.regexp_disjunction = function(state) { this.regexp_alternative(state); while (state.eat(0x7C /* | */)) { this.regexp_alternative(state); } // Make the same message as V8. if (this.regexp_eatQuantifier(state, true)) { state.raise("Nothing to repeat"); } if (state.eat(0x7B /* { */)) { state.raise("Lone quantifier brackets"); } }; // https://www.ecma-international.org/ecma-262/8.0/#prod-Alternative pp$8.regexp_alternative = function(state) { while (state.pos < state.source.length && this.regexp_eatTerm(state)) { } }; // https://www.ecma-international.org/ecma-262/8.0/#prod-annexB-Term pp$8.regexp_eatTerm = function(state) { if (this.regexp_eatAssertion(state)) { // Handle `QuantifiableAssertion Quantifier` alternative. // `state.lastAssertionIsQuantifiable` is true if the last eaten Assertion // is a QuantifiableAssertion. if (state.lastAssertionIsQuantifiable && this.regexp_eatQuantifier(state)) { // Make the same message as V8. if (state.switchU) { state.raise("Invalid quantifier"); } } return true } if (state.switchU ? this.regexp_eatAtom(state) : this.regexp_eatExtendedAtom(state)) { this.regexp_eatQuantifier(state); return true } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-annexB-Assertion pp$8.regexp_eatAssertion = function(state) { var start = state.pos; state.lastAssertionIsQuantifiable = false; // ^, $ if (state.eat(0x5E /* ^ */) || state.eat(0x24 /* $ */)) { return true } // \b \B if (state.eat(0x5C /* \ */)) { if (state.eat(0x42 /* B */) || state.eat(0x62 /* b */)) { return true } state.pos = start; } // Lookahead / Lookbehind if (state.eat(0x28 /* ( */) && state.eat(0x3F /* ? */)) { var lookbehind = false; if (this.options.ecmaVersion >= 9) { lookbehind = state.eat(0x3C /* < */); } if (state.eat(0x3D /* = */) || state.eat(0x21 /* ! */)) { this.regexp_disjunction(state); if (!state.eat(0x29 /* ) */)) { state.raise("Unterminated group"); } state.lastAssertionIsQuantifiable = !lookbehind; return true } } state.pos = start; return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-Quantifier pp$8.regexp_eatQuantifier = function(state, noError) { if ( noError === void 0 ) noError = false; if (this.regexp_eatQuantifierPrefix(state, noError)) { state.eat(0x3F /* ? */); return true } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-QuantifierPrefix pp$8.regexp_eatQuantifierPrefix = function(state, noError) { return ( state.eat(0x2A /* * */) || state.eat(0x2B /* + */) || state.eat(0x3F /* ? */) || this.regexp_eatBracedQuantifier(state, noError) ) }; pp$8.regexp_eatBracedQuantifier = function(state, noError) { var start = state.pos; if (state.eat(0x7B /* { */)) { var min = 0, max = -1; if (this.regexp_eatDecimalDigits(state)) { min = state.lastIntValue; if (state.eat(0x2C /* , */) && this.regexp_eatDecimalDigits(state)) { max = state.lastIntValue; } if (state.eat(0x7D /* } */)) { // SyntaxError in https://www.ecma-international.org/ecma-262/8.0/#sec-term if (max !== -1 && max < min && !noError) { state.raise("numbers out of order in {} quantifier"); } return true } } if (state.switchU && !noError) { state.raise("Incomplete quantifier"); } state.pos = start; } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-Atom pp$8.regexp_eatAtom = function(state) { return ( this.regexp_eatPatternCharacters(state) || state.eat(0x2E /* . */) || this.regexp_eatReverseSolidusAtomEscape(state) || this.regexp_eatCharacterClass(state) || this.regexp_eatUncapturingGroup(state) || this.regexp_eatCapturingGroup(state) ) }; pp$8.regexp_eatReverseSolidusAtomEscape = function(state) { var start = state.pos; if (state.eat(0x5C /* \ */)) { if (this.regexp_eatAtomEscape(state)) { return true } state.pos = start; } return false }; pp$8.regexp_eatUncapturingGroup = function(state) { var start = state.pos; if (state.eat(0x28 /* ( */)) { if (state.eat(0x3F /* ? */) && state.eat(0x3A /* : */)) { this.regexp_disjunction(state); if (state.eat(0x29 /* ) */)) { return true } state.raise("Unterminated group"); } state.pos = start; } return false }; pp$8.regexp_eatCapturingGroup = function(state) { if (state.eat(0x28 /* ( */)) { if (this.options.ecmaVersion >= 9) { this.regexp_groupSpecifier(state); } else if (state.current() === 0x3F /* ? */) { state.raise("Invalid group"); } this.regexp_disjunction(state); if (state.eat(0x29 /* ) */)) { state.numCapturingParens += 1; return true } state.raise("Unterminated group"); } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-annexB-ExtendedAtom pp$8.regexp_eatExtendedAtom = function(state) { return ( state.eat(0x2E /* . */) || this.regexp_eatReverseSolidusAtomEscape(state) || this.regexp_eatCharacterClass(state) || this.regexp_eatUncapturingGroup(state) || this.regexp_eatCapturingGroup(state) || this.regexp_eatInvalidBracedQuantifier(state) || this.regexp_eatExtendedPatternCharacter(state) ) }; // https://www.ecma-international.org/ecma-262/8.0/#prod-annexB-InvalidBracedQuantifier pp$8.regexp_eatInvalidBracedQuantifier = function(state) { if (this.regexp_eatBracedQuantifier(state, true)) { state.raise("Nothing to repeat"); } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-SyntaxCharacter pp$8.regexp_eatSyntaxCharacter = function(state) { var ch = state.current(); if (isSyntaxCharacter(ch)) { state.lastIntValue = ch; state.advance(); return true } return false }; function isSyntaxCharacter(ch) { return ( ch === 0x24 /* $ */ || ch >= 0x28 /* ( */ && ch <= 0x2B /* + */ || ch === 0x2E /* . */ || ch === 0x3F /* ? */ || ch >= 0x5B /* [ */ && ch <= 0x5E /* ^ */ || ch >= 0x7B /* { */ && ch <= 0x7D /* } */ ) } // https://www.ecma-international.org/ecma-262/8.0/#prod-PatternCharacter // But eat eager. pp$8.regexp_eatPatternCharacters = function(state) { var start = state.pos; var ch = 0; while ((ch = state.current()) !== -1 && !isSyntaxCharacter(ch)) { state.advance(); } return state.pos !== start }; // https://www.ecma-international.org/ecma-262/8.0/#prod-annexB-ExtendedPatternCharacter pp$8.regexp_eatExtendedPatternCharacter = function(state) { var ch = state.current(); if ( ch !== -1 && ch !== 0x24 /* $ */ && !(ch >= 0x28 /* ( */ && ch <= 0x2B /* + */) && ch !== 0x2E /* . */ && ch !== 0x3F /* ? */ && ch !== 0x5B /* [ */ && ch !== 0x5E /* ^ */ && ch !== 0x7C /* | */ ) { state.advance(); return true } return false }; // GroupSpecifier[U] :: // [empty] // `?` GroupName[?U] pp$8.regexp_groupSpecifier = function(state) { if (state.eat(0x3F /* ? */)) { if (this.regexp_eatGroupName(state)) { if (state.groupNames.indexOf(state.lastStringValue) !== -1) { state.raise("Duplicate capture group name"); } state.groupNames.push(state.lastStringValue); return } state.raise("Invalid group"); } }; // GroupName[U] :: // `<` RegExpIdentifierName[?U] `>` // Note: this updates `state.lastStringValue` property with the eaten name. pp$8.regexp_eatGroupName = function(state) { state.lastStringValue = ""; if (state.eat(0x3C /* < */)) { if (this.regexp_eatRegExpIdentifierName(state) && state.eat(0x3E /* > */)) { return true } state.raise("Invalid capture group name"); } return false }; // RegExpIdentifierName[U] :: // RegExpIdentifierStart[?U] // RegExpIdentifierName[?U] RegExpIdentifierPart[?U] // Note: this updates `state.lastStringValue` property with the eaten name. pp$8.regexp_eatRegExpIdentifierName = function(state) { state.lastStringValue = ""; if (this.regexp_eatRegExpIdentifierStart(state)) { state.lastStringValue += codePointToString(state.lastIntValue); while (this.regexp_eatRegExpIdentifierPart(state)) { state.lastStringValue += codePointToString(state.lastIntValue); } return true } return false }; // RegExpIdentifierStart[U] :: // UnicodeIDStart // `$` // `_` // `\` RegExpUnicodeEscapeSequence[?U] pp$8.regexp_eatRegExpIdentifierStart = function(state) { var start = state.pos; var ch = state.current(); state.advance(); if (ch === 0x5C /* \ */ && this.regexp_eatRegExpUnicodeEscapeSequence(state)) { ch = state.lastIntValue; } if (isRegExpIdentifierStart(ch)) { state.lastIntValue = ch; return true } state.pos = start; return false }; function isRegExpIdentifierStart(ch) { return isIdentifierStart(ch, true) || ch === 0x24 /* $ */ || ch === 0x5F /* _ */ } // RegExpIdentifierPart[U] :: // UnicodeIDContinue // `$` // `_` // `\` RegExpUnicodeEscapeSequence[?U] // // pp$8.regexp_eatRegExpIdentifierPart = function(state) { var start = state.pos; var ch = state.current(); state.advance(); if (ch === 0x5C /* \ */ && this.regexp_eatRegExpUnicodeEscapeSequence(state)) { ch = state.lastIntValue; } if (isRegExpIdentifierPart(ch)) { state.lastIntValue = ch; return true } state.pos = start; return false }; function isRegExpIdentifierPart(ch) { return isIdentifierChar(ch, true) || ch === 0x24 /* $ */ || ch === 0x5F /* _ */ || ch === 0x200C /* */ || ch === 0x200D /* */ } // https://www.ecma-international.org/ecma-262/8.0/#prod-annexB-AtomEscape pp$8.regexp_eatAtomEscape = function(state) { if ( this.regexp_eatBackReference(state) || this.regexp_eatCharacterClassEscape(state) || this.regexp_eatCharacterEscape(state) || (state.switchN && this.regexp_eatKGroupName(state)) ) { return true } if (state.switchU) { // Make the same message as V8. if (state.current() === 0x63 /* c */) { state.raise("Invalid unicode escape"); } state.raise("Invalid escape"); } return false }; pp$8.regexp_eatBackReference = function(state) { var start = state.pos; if (this.regexp_eatDecimalEscape(state)) { var n = state.lastIntValue; if (state.switchU) { // For SyntaxError in https://www.ecma-international.org/ecma-262/8.0/#sec-atomescape if (n > state.maxBackReference) { state.maxBackReference = n; } return true } if (n <= state.numCapturingParens) { return true } state.pos = start; } return false }; pp$8.regexp_eatKGroupName = function(state) { if (state.eat(0x6B /* k */)) { if (this.regexp_eatGroupName(state)) { state.backReferenceNames.push(state.lastStringValue); return true } state.raise("Invalid named reference"); } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-annexB-CharacterEscape pp$8.regexp_eatCharacterEscape = function(state) { return ( this.regexp_eatControlEscape(state) || this.regexp_eatCControlLetter(state) || this.regexp_eatZero(state) || this.regexp_eatHexEscapeSequence(state) || this.regexp_eatRegExpUnicodeEscapeSequence(state) || (!state.switchU && this.regexp_eatLegacyOctalEscapeSequence(state)) || this.regexp_eatIdentityEscape(state) ) }; pp$8.regexp_eatCControlLetter = function(state) { var start = state.pos; if (state.eat(0x63 /* c */)) { if (this.regexp_eatControlLetter(state)) { return true } state.pos = start; } return false }; pp$8.regexp_eatZero = function(state) { if (state.current() === 0x30 /* 0 */ && !isDecimalDigit(state.lookahead())) { state.lastIntValue = 0; state.advance(); return true } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-ControlEscape pp$8.regexp_eatControlEscape = function(state) { var ch = state.current(); if (ch === 0x74 /* t */) { state.lastIntValue = 0x09; /* \t */ state.advance(); return true } if (ch === 0x6E /* n */) { state.lastIntValue = 0x0A; /* \n */ state.advance(); return true } if (ch === 0x76 /* v */) { state.lastIntValue = 0x0B; /* \v */ state.advance(); return true } if (ch === 0x66 /* f */) { state.lastIntValue = 0x0C; /* \f */ state.advance(); return true } if (ch === 0x72 /* r */) { state.lastIntValue = 0x0D; /* \r */ state.advance(); return true } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-ControlLetter pp$8.regexp_eatControlLetter = function(state) { var ch = state.current(); if (isControlLetter(ch)) { state.lastIntValue = ch % 0x20; state.advance(); return true } return false }; function isControlLetter(ch) { return ( (ch >= 0x41 /* A */ && ch <= 0x5A /* Z */) || (ch >= 0x61 /* a */ && ch <= 0x7A /* z */) ) } // https://www.ecma-international.org/ecma-262/8.0/#prod-RegExpUnicodeEscapeSequence pp$8.regexp_eatRegExpUnicodeEscapeSequence = function(state) { var start = state.pos; if (state.eat(0x75 /* u */)) { if (this.regexp_eatFixedHexDigits(state, 4)) { var lead = state.lastIntValue; if (state.switchU && lead >= 0xD800 && lead <= 0xDBFF) { var leadSurrogateEnd = state.pos; if (state.eat(0x5C /* \ */) && state.eat(0x75 /* u */) && this.regexp_eatFixedHexDigits(state, 4)) { var trail = state.lastIntValue; if (trail >= 0xDC00 && trail <= 0xDFFF) { state.lastIntValue = (lead - 0xD800) * 0x400 + (trail - 0xDC00) + 0x10000; return true } } state.pos = leadSurrogateEnd; state.lastIntValue = lead; } return true } if ( state.switchU && state.eat(0x7B /* { */) && this.regexp_eatHexDigits(state) && state.eat(0x7D /* } */) && isValidUnicode(state.lastIntValue) ) { return true } if (state.switchU) { state.raise("Invalid unicode escape"); } state.pos = start; } return false }; function isValidUnicode(ch) { return ch >= 0 && ch <= 0x10FFFF } // https://www.ecma-international.org/ecma-262/8.0/#prod-annexB-IdentityEscape pp$8.regexp_eatIdentityEscape = function(state) { if (state.switchU) { if (this.regexp_eatSyntaxCharacter(state)) { return true } if (state.eat(0x2F /* / */)) { state.lastIntValue = 0x2F; /* / */ return true } return false } var ch = state.current(); if (ch !== 0x63 /* c */ && (!state.switchN || ch !== 0x6B /* k */)) { state.lastIntValue = ch; state.advance(); return true } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-DecimalEscape pp$8.regexp_eatDecimalEscape = function(state) { state.lastIntValue = 0; var ch = state.current(); if (ch >= 0x31 /* 1 */ && ch <= 0x39 /* 9 */) { do { state.lastIntValue = 10 * state.lastIntValue + (ch - 0x30 /* 0 */); state.advance(); } while ((ch = state.current()) >= 0x30 /* 0 */ && ch <= 0x39 /* 9 */) return true } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-CharacterClassEscape pp$8.regexp_eatCharacterClassEscape = function(state) { var ch = state.current(); if (isCharacterClassEscape(ch)) { state.lastIntValue = -1; state.advance(); return true } if ( state.switchU && this.options.ecmaVersion >= 9 && (ch === 0x50 /* P */ || ch === 0x70 /* p */) ) { state.lastIntValue = -1; state.advance(); if ( state.eat(0x7B /* { */) && this.regexp_eatUnicodePropertyValueExpression(state) && state.eat(0x7D /* } */) ) { return true } state.raise("Invalid property name"); } return false }; function isCharacterClassEscape(ch) { return ( ch === 0x64 /* d */ || ch === 0x44 /* D */ || ch === 0x73 /* s */ || ch === 0x53 /* S */ || ch === 0x77 /* w */ || ch === 0x57 /* W */ ) } // UnicodePropertyValueExpression :: // UnicodePropertyName `=` UnicodePropertyValue // LoneUnicodePropertyNameOrValue pp$8.regexp_eatUnicodePropertyValueExpression = function(state) { var start = state.pos; // UnicodePropertyName `=` UnicodePropertyValue if (this.regexp_eatUnicodePropertyName(state) && state.eat(0x3D /* = */)) { var name = state.lastStringValue; if (this.regexp_eatUnicodePropertyValue(state)) { var value = state.lastStringValue; this.regexp_validateUnicodePropertyNameAndValue(state, name, value); return true } } state.pos = start; // LoneUnicodePropertyNameOrValue if (this.regexp_eatLoneUnicodePropertyNameOrValue(state)) { var nameOrValue = state.lastStringValue; this.regexp_validateUnicodePropertyNameOrValue(state, nameOrValue); return true } return false }; pp$8.regexp_validateUnicodePropertyNameAndValue = function(state, name, value) { if (!has(state.unicodeProperties.nonBinary, name)) { state.raise("Invalid property name"); } if (!state.unicodeProperties.nonBinary[name].test(value)) { state.raise("Invalid property value"); } }; pp$8.regexp_validateUnicodePropertyNameOrValue = function(state, nameOrValue) { if (!state.unicodeProperties.binary.test(nameOrValue)) { state.raise("Invalid property name"); } }; // UnicodePropertyName :: // UnicodePropertyNameCharacters pp$8.regexp_eatUnicodePropertyName = function(state) { var ch = 0; state.lastStringValue = ""; while (isUnicodePropertyNameCharacter(ch = state.current())) { state.lastStringValue += codePointToString(ch); state.advance(); } return state.lastStringValue !== "" }; function isUnicodePropertyNameCharacter(ch) { return isControlLetter(ch) || ch === 0x5F /* _ */ } // UnicodePropertyValue :: // UnicodePropertyValueCharacters pp$8.regexp_eatUnicodePropertyValue = function(state) { var ch = 0; state.lastStringValue = ""; while (isUnicodePropertyValueCharacter(ch = state.current())) { state.lastStringValue += codePointToString(ch); state.advance(); } return state.lastStringValue !== "" }; function isUnicodePropertyValueCharacter(ch) { return isUnicodePropertyNameCharacter(ch) || isDecimalDigit(ch) } // LoneUnicodePropertyNameOrValue :: // UnicodePropertyValueCharacters pp$8.regexp_eatLoneUnicodePropertyNameOrValue = function(state) { return this.regexp_eatUnicodePropertyValue(state) }; // https://www.ecma-international.org/ecma-262/8.0/#prod-CharacterClass pp$8.regexp_eatCharacterClass = function(state) { if (state.eat(0x5B /* [ */)) { state.eat(0x5E /* ^ */); this.regexp_classRanges(state); if (state.eat(0x5D /* [ */)) { return true } // Unreachable since it threw "unterminated regular expression" error before. state.raise("Unterminated character class"); } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-ClassRanges // https://www.ecma-international.org/ecma-262/8.0/#prod-NonemptyClassRanges // https://www.ecma-international.org/ecma-262/8.0/#prod-NonemptyClassRangesNoDash pp$8.regexp_classRanges = function(state) { while (this.regexp_eatClassAtom(state)) { var left = state.lastIntValue; if (state.eat(0x2D /* - */) && this.regexp_eatClassAtom(state)) { var right = state.lastIntValue; if (state.switchU && (left === -1 || right === -1)) { state.raise("Invalid character class"); } if (left !== -1 && right !== -1 && left > right) { state.raise("Range out of order in character class"); } } } }; // https://www.ecma-international.org/ecma-262/8.0/#prod-ClassAtom // https://www.ecma-international.org/ecma-262/8.0/#prod-ClassAtomNoDash pp$8.regexp_eatClassAtom = function(state) { var start = state.pos; if (state.eat(0x5C /* \ */)) { if (this.regexp_eatClassEscape(state)) { return true } if (state.switchU) { // Make the same message as V8. var ch$1 = state.current(); if (ch$1 === 0x63 /* c */ || isOctalDigit(ch$1)) { state.raise("Invalid class escape"); } state.raise("Invalid escape"); } state.pos = start; } var ch = state.current(); if (ch !== 0x5D /* [ */) { state.lastIntValue = ch; state.advance(); return true } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-annexB-ClassEscape pp$8.regexp_eatClassEscape = function(state) { var start = state.pos; if (state.eat(0x62 /* b */)) { state.lastIntValue = 0x08; /* */ return true } if (state.switchU && state.eat(0x2D /* - */)) { state.lastIntValue = 0x2D; /* - */ return true } if (!state.switchU && state.eat(0x63 /* c */)) { if (this.regexp_eatClassControlLetter(state)) { return true } state.pos = start; } return ( this.regexp_eatCharacterClassEscape(state) || this.regexp_eatCharacterEscape(state) ) }; // https://www.ecma-international.org/ecma-262/8.0/#prod-annexB-ClassControlLetter pp$8.regexp_eatClassControlLetter = function(state) { var ch = state.current(); if (isDecimalDigit(ch) || ch === 0x5F /* _ */) { state.lastIntValue = ch % 0x20; state.advance(); return true } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-HexEscapeSequence pp$8.regexp_eatHexEscapeSequence = function(state) { var start = state.pos; if (state.eat(0x78 /* x */)) { if (this.regexp_eatFixedHexDigits(state, 2)) { return true } if (state.switchU) { state.raise("Invalid escape"); } state.pos = start; } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-DecimalDigits pp$8.regexp_eatDecimalDigits = function(state) { var start = state.pos; var ch = 0; state.lastIntValue = 0; while (isDecimalDigit(ch = state.current())) { state.lastIntValue = 10 * state.lastIntValue + (ch - 0x30 /* 0 */); state.advance(); } return state.pos !== start }; function isDecimalDigit(ch) { return ch >= 0x30 /* 0 */ && ch <= 0x39 /* 9 */ } // https://www.ecma-international.org/ecma-262/8.0/#prod-HexDigits pp$8.regexp_eatHexDigits = function(state) { var start = state.pos; var ch = 0; state.lastIntValue = 0; while (isHexDigit(ch = state.current())) { state.lastIntValue = 16 * state.lastIntValue + hexToInt(ch); state.advance(); } return state.pos !== start }; function isHexDigit(ch) { return ( (ch >= 0x30 /* 0 */ && ch <= 0x39 /* 9 */) || (ch >= 0x41 /* A */ && ch <= 0x46 /* F */) || (ch >= 0x61 /* a */ && ch <= 0x66 /* f */) ) } function hexToInt(ch) { if (ch >= 0x41 /* A */ && ch <= 0x46 /* F */) { return 10 + (ch - 0x41 /* A */) } if (ch >= 0x61 /* a */ && ch <= 0x66 /* f */) { return 10 + (ch - 0x61 /* a */) } return ch - 0x30 /* 0 */ } // https://www.ecma-international.org/ecma-262/8.0/#prod-annexB-LegacyOctalEscapeSequence // Allows only 0-377(octal) i.e. 0-255(decimal). pp$8.regexp_eatLegacyOctalEscapeSequence = function(state) { if (this.regexp_eatOctalDigit(state)) { var n1 = state.lastIntValue; if (this.regexp_eatOctalDigit(state)) { var n2 = state.lastIntValue; if (n1 <= 3 && this.regexp_eatOctalDigit(state)) { state.lastIntValue = n1 * 64 + n2 * 8 + state.lastIntValue; } else { state.lastIntValue = n1 * 8 + n2; } } else { state.lastIntValue = n1; } return true } return false }; // https://www.ecma-international.org/ecma-262/8.0/#prod-OctalDigit pp$8.regexp_eatOctalDigit = function(state) { var ch = state.current(); if (isOctalDigit(ch)) { state.lastIntValue = ch - 0x30; /* 0 */ state.advance(); return true } state.lastIntValue = 0; return false }; function isOctalDigit(ch) { return ch >= 0x30 /* 0 */ && ch <= 0x37 /* 7 */ } // https://www.ecma-international.org/ecma-262/8.0/#prod-Hex4Digits // https://www.ecma-international.org/ecma-262/8.0/#prod-HexDigit // And HexDigit HexDigit in https://www.ecma-international.org/ecma-262/8.0/#prod-HexEscapeSequence pp$8.regexp_eatFixedHexDigits = function(state, length) { var start = state.pos; state.lastIntValue = 0; for (var i = 0; i < length; ++i) { var ch = state.current(); if (!isHexDigit(ch)) { state.pos = start; return false } state.lastIntValue = 16 * state.lastIntValue + hexToInt(ch); state.advance(); } return true }; // Object type used to represent tokens. Note that normally, tokens // simply exist as properties on the parser object. This is only // used for the onToken callback and the external tokenizer. var Token = function Token(p) { this.type = p.type; this.value = p.value; this.start = p.start; this.end = p.end; if (p.options.locations) { this.loc = new SourceLocation(p, p.startLoc, p.endLoc); } if (p.options.ranges) { this.range = [p.start, p.end]; } }; // ## Tokenizer var pp$9 = Parser.prototype; // Move to the next token pp$9.next = function() { if (this.options.onToken) { this.options.onToken(new Token(this)); } this.lastTokEnd = this.end; this.lastTokStart = this.start; this.lastTokEndLoc = this.endLoc; this.lastTokStartLoc = this.startLoc; this.nextToken(); }; pp$9.getToken = function() { this.next(); return new Token(this) }; // If we're in an ES6 environment, make parsers iterable if (typeof Symbol !== "undefined") { pp$9[Symbol.iterator] = function() { var this$1 = this; return { next: function () { var token = this$1.getToken(); return { done: token.type === types.eof, value: token } } } }; } // Toggle strict mode. Re-reads the next number or string to please // pedantic tests (`"use strict"; 010;` should fail). pp$9.curContext = function() { return this.context[this.context.length - 1] }; // Read a single token, updating the parser object's token-related // properties. pp$9.nextToken = function() { var curContext = this.curContext(); if (!curContext || !curContext.preserveSpace) { this.skipSpace(); } this.start = this.pos; if (this.options.locations) { this.startLoc = this.curPosition(); } if (this.pos >= this.input.length) { return this.finishToken(types.eof) } if (curContext.override) { return curContext.override(this) } else { this.readToken(this.fullCharCodeAtPos()); } }; pp$9.readToken = function(code) { // Identifier or keyword. '\uXXXX' sequences are allowed in // identifiers, so '\' also dispatches to that. if (isIdentifierStart(code, this.options.ecmaVersion >= 6) || code === 92 /* '\' */) { return this.readWord() } return this.getTokenFromCode(code) }; pp$9.fullCharCodeAtPos = function() { var code = this.input.charCodeAt(this.pos); if (code <= 0xd7ff || code >= 0xe000) { return code } var next = this.input.charCodeAt(this.pos + 1); return (code << 10) + next - 0x35fdc00 }; pp$9.skipBlockComment = function() { var startLoc = this.options.onComment && this.curPosition(); var start = this.pos, end = this.input.indexOf("*/", this.pos += 2); if (end === -1) { this.raise(this.pos - 2, "Unterminated comment"); } this.pos = end + 2; if (this.options.locations) { lineBreakG.lastIndex = start; var match; while ((match = lineBreakG.exec(this.input)) && match.index < this.pos) { ++this.curLine; this.lineStart = match.index + match[0].length; } } if (this.options.onComment) { this.options.onComment(true, this.input.slice(start + 2, end), start, this.pos, startLoc, this.curPosition()); } }; pp$9.skipLineComment = function(startSkip) { var start = this.pos; var startLoc = this.options.onComment && this.curPosition(); var ch = this.input.charCodeAt(this.pos += startSkip); while (this.pos < this.input.length && !isNewLine(ch)) { ch = this.input.charCodeAt(++this.pos); } if (this.options.onComment) { this.options.onComment(false, this.input.slice(start + startSkip, this.pos), start, this.pos, startLoc, this.curPosition()); } }; // Called at the start of the parse and after every token. Skips // whitespace and comments, and. pp$9.skipSpace = function() { loop: while (this.pos < this.input.length) { var ch = this.input.charCodeAt(this.pos); switch (ch) { case 32: case 160: // ' ' ++this.pos; break case 13: if (this.input.charCodeAt(this.pos + 1) === 10) { ++this.pos; } case 10: case 8232: case 8233: ++this.pos; if (this.options.locations) { ++this.curLine; this.lineStart = this.pos; } break case 47: // '/' switch (this.input.charCodeAt(this.pos + 1)) { case 42: // '*' this.skipBlockComment(); break case 47: this.skipLineComment(2); break default: break loop } break default: if (ch > 8 && ch < 14 || ch >= 5760 && nonASCIIwhitespace.test(String.fromCharCode(ch))) { ++this.pos; } else { break loop } } } }; // Called at the end of every token. Sets `end`, `val`, and // maintains `context` and `exprAllowed`, and skips the space after // the token, so that the next one's `start` will point at the // right position. pp$9.finishToken = function(type, val) { this.end = this.pos; if (this.options.locations) { this.endLoc = this.curPosition(); } var prevType = this.type; this.type = type; this.value = val; this.updateContext(prevType); }; // ### Token reading // This is the function that is called to fetch the next token. It // is somewhat obscure, because it works in character codes rather // than characters, and because operator parsing has been inlined // into it. // // All in the name of speed. // pp$9.readToken_dot = function() { var next = this.input.charCodeAt(this.pos + 1); if (next >= 48 && next <= 57) { return this.readNumber(true) } var next2 = this.input.charCodeAt(this.pos + 2); if (this.options.ecmaVersion >= 6 && next === 46 && next2 === 46) { // 46 = dot '.' this.pos += 3; return this.finishToken(types.ellipsis) } else { ++this.pos; return this.finishToken(types.dot) } }; pp$9.readToken_slash = function() { // '/' var next = this.input.charCodeAt(this.pos + 1); if (this.exprAllowed) { ++this.pos; return this.readRegexp() } if (next === 61) { return this.finishOp(types.assign, 2) } return this.finishOp(types.slash, 1) }; pp$9.readToken_mult_modulo_exp = function(code) { // '%*' var next = this.input.charCodeAt(this.pos + 1); var size = 1; var tokentype = code === 42 ? types.star : types.modulo; // exponentiation operator ** and **= if (this.options.ecmaVersion >= 7 && code === 42 && next === 42) { ++size; tokentype = types.starstar; next = this.input.charCodeAt(this.pos + 2); } if (next === 61) { return this.finishOp(types.assign, size + 1) } return this.finishOp(tokentype, size) }; pp$9.readToken_pipe_amp = function(code) { // '|&' var next = this.input.charCodeAt(this.pos + 1); if (next === code) { return this.finishOp(code === 124 ? types.logicalOR : types.logicalAND, 2) } if (next === 61) { return this.finishOp(types.assign, 2) } return this.finishOp(code === 124 ? types.bitwiseOR : types.bitwiseAND, 1) }; pp$9.readToken_caret = function() { // '^' var next = this.input.charCodeAt(this.pos + 1); if (next === 61) { return this.finishOp(types.assign, 2) } return this.finishOp(types.bitwiseXOR, 1) }; pp$9.readToken_plus_min = function(code) { // '+-' var next = this.input.charCodeAt(this.pos + 1); if (next === code) { if (next === 45 && !this.inModule && this.input.charCodeAt(this.pos + 2) === 62 && (this.lastTokEnd === 0 || lineBreak.test(this.input.slice(this.lastTokEnd, this.pos)))) { // A `-->` line comment this.skipLineComment(3); this.skipSpace(); return this.nextToken() } return this.finishOp(types.incDec, 2) } if (next === 61) { return this.finishOp(types.assign, 2) } return this.finishOp(types.plusMin, 1) }; pp$9.readToken_lt_gt = function(code) { // '<>' var next = this.input.charCodeAt(this.pos + 1); var size = 1; if (next === code) { size = code === 62 && this.input.charCodeAt(this.pos + 2) === 62 ? 3 : 2; if (this.input.charCodeAt(this.pos + size) === 61) { return this.finishOp(types.assign, size + 1) } return this.finishOp(types.bitShift, size) } if (next === 33 && code === 60 && !this.inModule && this.input.charCodeAt(this.pos + 2) === 45 && this.input.charCodeAt(this.pos + 3) === 45) { // ` implementation: // Primary group represents the group closest to the decimal var pgSize = data.patterns.primaryGroupSize || 3; // Secondary group is every other group var sgSize = data.patterns.secondaryGroupSize || pgSize; // Group only if necessary if (integer.length > pgSize) { // Index of the primary grouping separator var end = integer.length - pgSize; // Starting index for our loop var idx = end % sgSize; var start = integer.slice(0, idx); if (start.length) arrPush.call(groups, start); // Loop to separate into secondary grouping digits while (idx < end) { arrPush.call(groups, integer.slice(idx, idx + sgSize)); idx += sgSize; } // Add the primary grouping digits arrPush.call(groups, integer.slice(end)); } else { arrPush.call(groups, integer); } // a. Assert: The number of elements in groups List is greater than 0. if (groups.length === 0) throw new Error(); // a. Repeat, while groups List is not empty: while (groups.length) { // i. Remove the first element from groups and let integerGroup be the value of that element. var integerGroup = arrShift.call(groups); // ii. Add new part record { [[type]]: "integer", [[value]]: integerGroup } as a new element of the list result. arrPush.call(result, { '[[type]]': 'integer', '[[value]]': integerGroup }); // iii. If groups List is not empty, then: if (groups.length) { // 1. Add new part record { [[type]]: "group", [[value]]: groupSepSymbol } as a new element of the list result. arrPush.call(result, { '[[type]]': 'group', '[[value]]': groupSepSymbol }); } } } // 10. Else, else { // a. Add new part record { [[type]]: "integer", [[value]]: integer } as a new element of the list result. arrPush.call(result, { '[[type]]': 'integer', '[[value]]': integer }); } // 11. If fraction is not undefined, then: if (fraction !== undefined) { // a. Let decimalSepSymbol be the ILND String representing the decimal separator. var decimalSepSymbol = ild.decimal; // a. Add new part record { [[type]]: "decimal", [[value]]: decimalSepSymbol } as a new element of the list result. arrPush.call(result, { '[[type]]': 'decimal', '[[value]]': decimalSepSymbol }); // a. Add new part record { [[type]]: "fraction", [[value]]: fraction } as a new element of the list result. arrPush.call(result, { '[[type]]': 'fraction', '[[value]]': fraction }); } } } // a. Else if p is equal "plusSign", then: else if (p === "plusSign") { // i. Let plusSignSymbol be the ILND String representing the plus sign. var plusSignSymbol = ild.plusSign; // ii. Add new part record { [[type]]: "plusSign", [[value]]: plusSignSymbol } as a new element of the list result. arrPush.call(result, { '[[type]]': 'plusSign', '[[value]]': plusSignSymbol }); } // a. Else if p is equal "minusSign", then: else if (p === "minusSign") { // i. Let minusSignSymbol be the ILND String representing the minus sign. var minusSignSymbol = ild.minusSign; // ii. Add new part record { [[type]]: "minusSign", [[value]]: minusSignSymbol } as a new element of the list result. arrPush.call(result, { '[[type]]': 'minusSign', '[[value]]': minusSignSymbol }); } // a. Else if p is equal "percentSign" and numberFormat.[[style]] is "percent", then: else if (p === "percentSign" && internal['[[style]]'] === "percent") { // i. Let percentSignSymbol be the ILND String representing the percent sign. var percentSignSymbol = ild.percentSign; // ii. Add new part record { [[type]]: "percentSign", [[value]]: percentSignSymbol } as a new element of the list result. arrPush.call(result, { '[[type]]': 'literal', '[[value]]': percentSignSymbol }); } // a. Else if p is equal "currency" and numberFormat.[[style]] is "currency", then: else if (p === "currency" && internal['[[style]]'] === "currency") { // i. Let currency be the value of numberFormat.[[currency]]. var currency = internal['[[currency]]']; var cd = void 0; // ii. If numberFormat.[[currencyDisplay]] is "code", then if (internal['[[currencyDisplay]]'] === "code") { // 1. Let cd be currency. cd = currency; } // iii. Else if numberFormat.[[currencyDisplay]] is "symbol", then else if (internal['[[currencyDisplay]]'] === "symbol") { // 1. Let cd be an ILD string representing currency in short form. If the implementation does not have such a representation of currency, use currency itself. cd = data.currencies[currency] || currency; } // iv. Else if numberFormat.[[currencyDisplay]] is "name", then else if (internal['[[currencyDisplay]]'] === "name") { // 1. Let cd be an ILD string representing currency in long form. If the implementation does not have such a representation of currency, then use currency itself. cd = currency; } // v. Add new part record { [[type]]: "currency", [[value]]: cd } as a new element of the list result. arrPush.call(result, { '[[type]]': 'currency', '[[value]]': cd }); } // a. Else, else { // i. Let literal be the substring of pattern from position beginIndex, inclusive, to position endIndex, inclusive. var _literal = pattern.substring(beginIndex, endIndex); // ii. Add new part record { [[type]]: "literal", [[value]]: literal } as a new element of the list result. arrPush.call(result, { '[[type]]': 'literal', '[[value]]': _literal }); } // a. Set nextIndex to endIndex + 1. nextIndex = endIndex + 1; // a. Set beginIndex to Call(%StringProto_indexOf%, pattern, "{", nextIndex) beginIndex = pattern.indexOf('{', nextIndex); } // 9. If nextIndex is less than length, then: if (nextIndex < length) { // a. Let literal be the substring of pattern from position nextIndex, inclusive, to position length, exclusive. var _literal2 = pattern.substring(nextIndex, length); // a. Add new part record { [[type]]: "literal", [[value]]: literal } as a new element of the list result. arrPush.call(result, { '[[type]]': 'literal', '[[value]]': _literal2 }); } // 10. Return result. return result; } /* * @spec[stasm/ecma402/number-format-to-parts/spec/numberformat.html] * @clause[sec-formatnumber] */ function FormatNumber(numberFormat, x) { // 1. Let parts be ? PartitionNumberPattern(numberFormat, x). var parts = PartitionNumberPattern(numberFormat, x); // 2. Let result be an empty String. var result = ''; // 3. For each part in parts, do: for (var i = 0; parts.length > i; i++) { var part = parts[i]; // a. Set result to a String value produced by concatenating result and part.[[value]]. result += part['[[value]]']; } // 4. Return result. return result; } /** * When the ToRawPrecision abstract operation is called with arguments x (which * must be a finite non-negative number), minPrecision, and maxPrecision (both * must be integers between 1 and 21) the following steps are taken: */ function ToRawPrecision(x, minPrecision, maxPrecision) { // 1. Let p be maxPrecision. var p = maxPrecision; var m = void 0, e = void 0; // 2. If x = 0, then if (x === 0) { // a. Let m be the String consisting of p occurrences of the character "0". m = arrJoin.call(Array(p + 1), '0'); // b. Let e be 0. e = 0; } // 3. Else else { // a. Let e and n be integers such that 10ᵖ⁻¹ ≤ n < 10ᵖ and for which the // exact mathematical value of n × 10ᵉ⁻ᵖ⁺¹ – x is as close to zero as // possible. If there are two such sets of e and n, pick the e and n for // which n × 10ᵉ⁻ᵖ⁺¹ is larger. e = log10Floor(Math.abs(x)); // Easier to get to m from here var f = Math.round(Math.exp(Math.abs(e - p + 1) * Math.LN10)); // b. Let m be the String consisting of the digits of the decimal // representation of n (in order, with no leading zeroes) m = String(Math.round(e - p + 1 < 0 ? x * f : x / f)); } // 4. If e ≥ p, then if (e >= p) // a. Return the concatenation of m and e-p+1 occurrences of the character "0". return m + arrJoin.call(Array(e - p + 1 + 1), '0'); // 5. If e = p-1, then else if (e === p - 1) // a. Return m. return m; // 6. If e ≥ 0, then else if (e >= 0) // a. Let m be the concatenation of the first e+1 characters of m, the character // ".", and the remaining p–(e+1) characters of m. m = m.slice(0, e + 1) + '.' + m.slice(e + 1); // 7. If e < 0, then else if (e < 0) // a. Let m be the concatenation of the String "0.", –(e+1) occurrences of the // character "0", and the string m. m = '0.' + arrJoin.call(Array(-(e + 1) + 1), '0') + m; // 8. If m contains the character ".", and maxPrecision > minPrecision, then if (m.indexOf(".") >= 0 && maxPrecision > minPrecision) { // a. Let cut be maxPrecision – minPrecision. var cut = maxPrecision - minPrecision; // b. Repeat while cut > 0 and the last character of m is "0": while (cut > 0 && m.charAt(m.length - 1) === '0') { // i. Remove the last character from m. m = m.slice(0, -1); // ii. Decrease cut by 1. cut--; } // c. If the last character of m is ".", then if (m.charAt(m.length - 1) === '.') // i. Remove the last character from m. m = m.slice(0, -1); } // 9. Return m. return m; } /** * @spec[tc39/ecma402/master/spec/numberformat.html] * @clause[sec-torawfixed] * When the ToRawFixed abstract operation is called with arguments x (which must * be a finite non-negative number), minInteger (which must be an integer between * 1 and 21), minFraction, and maxFraction (which must be integers between 0 and * 20) the following steps are taken: */ function ToRawFixed(x, minInteger, minFraction, maxFraction) { // 1. Let f be maxFraction. var f = maxFraction; // 2. Let n be an integer for which the exact mathematical value of n ÷ 10f – x is as close to zero as possible. If there are two such n, pick the larger n. var n = Math.pow(10, f) * x; // diverging... // 3. If n = 0, let m be the String "0". Otherwise, let m be the String consisting of the digits of the decimal representation of n (in order, with no leading zeroes). var m = n === 0 ? "0" : n.toFixed(0); // divering... { // this diversion is needed to take into consideration big numbers, e.g.: // 1.2344501e+37 -> 12344501000000000000000000000000000000 var idx = void 0; var exp = (idx = m.indexOf('e')) > -1 ? m.slice(idx + 1) : 0; if (exp) { m = m.slice(0, idx).replace('.', ''); m += arrJoin.call(Array(exp - (m.length - 1) + 1), '0'); } } var int = void 0; // 4. If f ≠ 0, then if (f !== 0) { // a. Let k be the number of characters in m. var k = m.length; // a. If k ≤ f, then if (k <= f) { // i. Let z be the String consisting of f+1–k occurrences of the character "0". var z = arrJoin.call(Array(f + 1 - k + 1), '0'); // ii. Let m be the concatenation of Strings z and m. m = z + m; // iii. Let k be f+1. k = f + 1; } // a. Let a be the first k–f characters of m, and let b be the remaining f characters of m. var a = m.substring(0, k - f), b = m.substring(k - f, m.length); // a. Let m be the concatenation of the three Strings a, ".", and b. m = a + "." + b; // a. Let int be the number of characters in a. int = a.length; } // 5. Else, let int be the number of characters in m. else int = m.length; // 6. Let cut be maxFraction – minFraction. var cut = maxFraction - minFraction; // 7. Repeat while cut > 0 and the last character of m is "0": while (cut > 0 && m.slice(-1) === "0") { // a. Remove the last character from m. m = m.slice(0, -1); // a. Decrease cut by 1. cut--; } // 8. If the last character of m is ".", then if (m.slice(-1) === ".") { // a. Remove the last character from m. m = m.slice(0, -1); } // 9. If int < minInteger, then if (int < minInteger) { // a. Let z be the String consisting of minInteger–int occurrences of the character "0". var _z = arrJoin.call(Array(minInteger - int + 1), '0'); // a. Let m be the concatenation of Strings z and m. m = _z + m; } // 10. Return m. return m; } // Sect 11.3.2 Table 2, Numbering systems // ====================================== var numSys = { arab: ["٠", "١", "٢", "٣", "٤", "٥", "٦", "٧", "٨", "٩"], arabext: ["۰", "۱", "۲", "۳", "۴", "۵", "۶", "۷", "۸", "۹"], bali: ["᭐", "᭑", "᭒", "᭓", "᭔", "᭕", "᭖", "᭗", "᭘", "᭙"], beng: ["০", "১", "২", "৩", "৪", "৫", "৬", "৭", "৮", "৯"], deva: ["०", "१", "२", "३", "४", "५", "६", "७", "८", "९"], fullwide: ["０", "１", "２", "３", "４", "５", "６", "７", "８", "９"], gujr: ["૦", "૧", "૨", "૩", "૪", "૫", "૬", "૭", "૮", "૯"], guru: ["੦", "੧", "੨", "੩", "੪", "੫", "੬", "੭", "੮", "੯"], hanidec: ["〇", "一", "二", "三", "四", "五", "六", "七", "八", "九"], khmr: ["០", "១", "២", "៣", "៤", "៥", "៦", "៧", "៨", "៩"], knda: ["೦", "೧", "೨", "೩", "೪", "೫", "೬", "೭", "೮", "೯"], laoo: ["໐", "໑", "໒", "໓", "໔", "໕", "໖", "໗", "໘", "໙"], latn: ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"], limb: ["᥆", "᥇", "᥈", "᥉", "᥊", "᥋", "᥌", "᥍", "᥎", "᥏"], mlym: ["൦", "൧", "൨", "൩", "൪", "൫", "൬", "൭", "൮", "൯"], mong: ["᠐", "᠑", "᠒", "᠓", "᠔", "᠕", "᠖", "᠗", "᠘", "᠙"], mymr: ["၀", "၁", "၂", "၃", "၄", "၅", "၆", "၇", "၈", "၉"], orya: ["୦", "୧", "୨", "୩", "୪", "୫", "୬", "୭", "୮", "୯"], tamldec: ["௦", "௧", "௨", "௩", "௪", "௫", "௬", "௭", "௮", "௯"], telu: ["౦", "౧", "౨", "౩", "౪", "౫", "౬", "౭", "౮", "౯"], thai: ["๐", "๑", "๒", "๓", "๔", "๕", "๖", "๗", "๘", "๙"], tibt: ["༠", "༡", "༢", "༣", "༤", "༥", "༦", "༧", "༨", "༩"] }; /** * This function provides access to the locale and formatting options computed * during initialization of the object. * * The function returns a new object whose properties and attributes are set as * if constructed by an object literal assigning to each of the following * properties the value of the corresponding internal property of this * NumberFormat object (see 11.4): locale, numberingSystem, style, currency, * currencyDisplay, minimumIntegerDigits, minimumFractionDigits, * maximumFractionDigits, minimumSignificantDigits, maximumSignificantDigits, and * useGrouping. Properties whose corresponding internal properties are not present * are not assigned. */ /* 11.3.3 */defineProperty(Intl.NumberFormat.prototype, 'resolvedOptions', { configurable: true, writable: true, value: function value() { var prop = void 0, descs = new Record(), props = ['locale', 'numberingSystem', 'style', 'currency', 'currencyDisplay', 'minimumIntegerDigits', 'minimumFractionDigits', 'maximumFractionDigits', 'minimumSignificantDigits', 'maximumSignificantDigits', 'useGrouping'], internal = this !== null && babelHelpers$1["typeof"](this) === 'object' && getInternalProperties(this); // Satisfy test 11.3_b if (!internal || !internal['[[initializedNumberFormat]]']) throw new TypeError('`this` value for resolvedOptions() is not an initialized Intl.NumberFormat object.'); for (var i = 0, max = props.length; i < max; i++) { if (hop.call(internal, prop = '[[' + props[i] + ']]')) descs[props[i]] = { value: internal[prop], writable: true, configurable: true, enumerable: true }; } return objCreate({}, descs); } }); /* jslint esnext: true */ // Match these datetime components in a CLDR pattern, except those in single quotes var expDTComponents = /(?:[Eec]{1,6}|G{1,5}|[Qq]{1,5}|(?:[yYur]+|U{1,5})|[ML]{1,5}|d{1,2}|D{1,3}|F{1}|[abB]{1,5}|[hkHK]{1,2}|w{1,2}|W{1}|m{1,2}|s{1,2}|[zZOvVxX]{1,4})(?=([^']*'[^']*')*[^']*$)/g; // trim patterns after transformations var expPatternTrimmer = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g; // Skip over patterns with these datetime components because we don't have data // to back them up: // timezone, weekday, amoung others var unwantedDTCs = /[rqQASjJgwWIQq]/; // xXVO were removed from this list in favor of computing matches with timeZoneName values but printing as empty string var dtKeys = ["era", "year", "month", "day", "weekday", "quarter"]; var tmKeys = ["hour", "minute", "second", "hour12", "timeZoneName"]; function isDateFormatOnly(obj) { for (var i = 0; i < tmKeys.length; i += 1) { if (obj.hasOwnProperty(tmKeys[i])) { return false; } } return true; } function isTimeFormatOnly(obj) { for (var i = 0; i < dtKeys.length; i += 1) { if (obj.hasOwnProperty(dtKeys[i])) { return false; } } return true; } function joinDateAndTimeFormats(dateFormatObj, timeFormatObj) { var o = { _: {} }; for (var i = 0; i < dtKeys.length; i += 1) { if (dateFormatObj[dtKeys[i]]) { o[dtKeys[i]] = dateFormatObj[dtKeys[i]]; } if (dateFormatObj._[dtKeys[i]]) { o._[dtKeys[i]] = dateFormatObj._[dtKeys[i]]; } } for (var j = 0; j < tmKeys.length; j += 1) { if (timeFormatObj[tmKeys[j]]) { o[tmKeys[j]] = timeFormatObj[tmKeys[j]]; } if (timeFormatObj._[tmKeys[j]]) { o._[tmKeys[j]] = timeFormatObj._[tmKeys[j]]; } } return o; } function computeFinalPatterns(formatObj) { // From http://www.unicode.org/reports/tr35/tr35-dates.html#Date_Format_Patterns: // 'In patterns, two single quotes represents a literal single quote, either // inside or outside single quotes. Text within single quotes is not // interpreted in any way (except for two adjacent single quotes).' formatObj.pattern12 = formatObj.extendedPattern.replace(/'([^']*)'/g, function ($0, literal) { return literal ? literal : "'"; }); // pattern 12 is always the default. we can produce the 24 by removing {ampm} formatObj.pattern = formatObj.pattern12.replace('{ampm}', '').replace(expPatternTrimmer, ''); return formatObj; } function expDTComponentsMeta($0, formatObj) { switch ($0.charAt(0)) { // --- Era case 'G': formatObj.era = ['short', 'short', 'short', 'long', 'narrow'][$0.length - 1]; return '{era}'; // --- Year case 'y': case 'Y': case 'u': case 'U': case 'r': formatObj.year = $0.length === 2 ? '2-digit' : 'numeric'; return '{year}'; // --- Quarter (not supported in this polyfill) case 'Q': case 'q': formatObj.quarter = ['numeric', '2-digit', 'short', 'long', 'narrow'][$0.length - 1]; return '{quarter}'; // --- Month case 'M': case 'L': formatObj.month = ['numeric', '2-digit', 'short', 'long', 'narrow'][$0.length - 1]; return '{month}'; // --- Week (not supported in this polyfill) case 'w': // week of the year formatObj.week = $0.length === 2 ? '2-digit' : 'numeric'; return '{weekday}'; case 'W': // week of the month formatObj.week = 'numeric'; return '{weekday}'; // --- Day case 'd': // day of the month formatObj.day = $0.length === 2 ? '2-digit' : 'numeric'; return '{day}'; case 'D': // day of the year case 'F': // day of the week case 'g': // 1..n: Modified Julian day formatObj.day = 'numeric'; return '{day}'; // --- Week Day case 'E': // day of the week formatObj.weekday = ['short', 'short', 'short', 'long', 'narrow', 'short'][$0.length - 1]; return '{weekday}'; case 'e': // local day of the week formatObj.weekday = ['numeric', '2-digit', 'short', 'long', 'narrow', 'short'][$0.length - 1]; return '{weekday}'; case 'c': // stand alone local day of the week formatObj.weekday = ['numeric', undefined, 'short', 'long', 'narrow', 'short'][$0.length - 1]; return '{weekday}'; // --- Period case 'a': // AM, PM case 'b': // am, pm, noon, midnight case 'B': // flexible day periods formatObj.hour12 = true; return '{ampm}'; // --- Hour case 'h': case 'H': formatObj.hour = $0.length === 2 ? '2-digit' : 'numeric'; return '{hour}'; case 'k': case 'K': formatObj.hour12 = true; // 12-hour-cycle time formats (using h or K) formatObj.hour = $0.length === 2 ? '2-digit' : 'numeric'; return '{hour}'; // --- Minute case 'm': formatObj.minute = $0.length === 2 ? '2-digit' : 'numeric'; return '{minute}'; // --- Second case 's': formatObj.second = $0.length === 2 ? '2-digit' : 'numeric'; return '{second}'; case 'S': case 'A': formatObj.second = 'numeric'; return '{second}'; // --- Timezone case 'z': // 1..3, 4: specific non-location format case 'Z': // 1..3, 4, 5: The ISO8601 varios formats case 'O': // 1, 4: miliseconds in day short, long case 'v': // 1, 4: generic non-location format case 'V': // 1, 2, 3, 4: time zone ID or city case 'X': // 1, 2, 3, 4: The ISO8601 varios formats case 'x': // 1, 2, 3, 4: The ISO8601 varios formats // this polyfill only supports much, for now, we are just doing something dummy formatObj.timeZoneName = $0.length < 4 ? 'short' : 'long'; return '{timeZoneName}'; } } /** * Converts the CLDR availableFormats into the objects and patterns required by * the ECMAScript Internationalization API specification. */ function createDateTimeFormat(skeleton, pattern) { // we ignore certain patterns that are unsupported to avoid this expensive op. if (unwantedDTCs.test(pattern)) return undefined; var formatObj = { originalPattern: pattern, _: {} }; // Replace the pattern string with the one required by the specification, whilst // at the same time evaluating it for the subsets and formats formatObj.extendedPattern = pattern.replace(expDTComponents, function ($0) { // See which symbol we're dealing with return expDTComponentsMeta($0, formatObj._); }); // Match the skeleton string with the one required by the specification // this implementation is based on the Date Field Symbol Table: // http://unicode.org/reports/tr35/tr35-dates.html#Date_Field_Symbol_Table // Note: we are adding extra data to the formatObject even though this polyfill // might not support it. skeleton.replace(expDTComponents, function ($0) { // See which symbol we're dealing with return expDTComponentsMeta($0, formatObj); }); return computeFinalPatterns(formatObj); } /** * Processes DateTime formats from CLDR to an easier-to-parse format. * the result of this operation should be cached the first time a particular * calendar is analyzed. * * The specification requires we support at least the following subsets of * date/time components: * * - 'weekday', 'year', 'month', 'day', 'hour', 'minute', 'second' * - 'weekday', 'year', 'month', 'day' * - 'year', 'month', 'day' * - 'year', 'month' * - 'month', 'day' * - 'hour', 'minute', 'second' * - 'hour', 'minute' * * We need to cherry pick at least these subsets from the CLDR data and convert * them into the pattern objects used in the ECMA-402 API. */ function createDateTimeFormats(formats) { var availableFormats = formats.availableFormats; var timeFormats = formats.timeFormats; var dateFormats = formats.dateFormats; var result = []; var skeleton = void 0, pattern = void 0, computed = void 0, i = void 0, j = void 0; var timeRelatedFormats = []; var dateRelatedFormats = []; // Map available (custom) formats into a pattern for createDateTimeFormats for (skeleton in availableFormats) { if (availableFormats.hasOwnProperty(skeleton)) { pattern = availableFormats[skeleton]; computed = createDateTimeFormat(skeleton, pattern); if (computed) { result.push(computed); // in some cases, the format is only displaying date specific props // or time specific props, in which case we need to also produce the // combined formats. if (isDateFormatOnly(computed)) { dateRelatedFormats.push(computed); } else if (isTimeFormatOnly(computed)) { timeRelatedFormats.push(computed); } } } } // Map time formats into a pattern for createDateTimeFormats for (skeleton in timeFormats) { if (timeFormats.hasOwnProperty(skeleton)) { pattern = timeFormats[skeleton]; computed = createDateTimeFormat(skeleton, pattern); if (computed) { result.push(computed); timeRelatedFormats.push(computed); } } } // Map date formats into a pattern for createDateTimeFormats for (skeleton in dateFormats) { if (dateFormats.hasOwnProperty(skeleton)) { pattern = dateFormats[skeleton]; computed = createDateTimeFormat(skeleton, pattern); if (computed) { result.push(computed); dateRelatedFormats.push(computed); } } } // combine custom time and custom date formats when they are orthogonals to complete the // formats supported by CLDR. // This Algo is based on section "Missing Skeleton Fields" from: // http://unicode.org/reports/tr35/tr35-dates.html#availableFormats_appendItems for (i = 0; i < timeRelatedFormats.length; i += 1) { for (j = 0; j < dateRelatedFormats.length; j += 1) { if (dateRelatedFormats[j].month === 'long') { pattern = dateRelatedFormats[j].weekday ? formats.full : formats.long; } else if (dateRelatedFormats[j].month === 'short') { pattern = formats.medium; } else { pattern = formats.short; } computed = joinDateAndTimeFormats(dateRelatedFormats[j], timeRelatedFormats[i]); computed.originalPattern = pattern; computed.extendedPattern = pattern.replace('{0}', timeRelatedFormats[i].extendedPattern).replace('{1}', dateRelatedFormats[j].extendedPattern).replace(/^[,\s]+|[,\s]+$/gi, ''); result.push(computeFinalPatterns(computed)); } } return result; } // this represents the exceptions of the rule that are not covered by CLDR availableFormats // for single property configurations, they play no role when using multiple properties, and // those that are not in this table, are not exceptions or are not covered by the data we // provide. var validSyntheticProps = { second: { numeric: 's', '2-digit': 'ss' }, minute: { numeric: 'm', '2-digit': 'mm' }, year: { numeric: 'y', '2-digit': 'yy' }, day: { numeric: 'd', '2-digit': 'dd' }, month: { numeric: 'L', '2-digit': 'LL', narrow: 'LLLLL', short: 'LLL', long: 'LLLL' }, weekday: { narrow: 'ccccc', short: 'ccc', long: 'cccc' } }; function generateSyntheticFormat(propName, propValue) { if (validSyntheticProps[propName] && validSyntheticProps[propName][propValue]) { var _ref2; return _ref2 = { originalPattern: validSyntheticProps[propName][propValue], _: defineProperty$1({}, propName, propValue), extendedPattern: "{" + propName + "}" }, defineProperty$1(_ref2, propName, propValue), defineProperty$1(_ref2, "pattern12", "{" + propName + "}"), defineProperty$1(_ref2, "pattern", "{" + propName + "}"), _ref2; } } // An object map of date component keys, saves using a regex later var dateWidths = objCreate(null, { narrow: {}, short: {}, long: {} }); /** * Returns a string for a date component, resolved using multiple inheritance as specified * as specified in the Unicode Technical Standard 35. */ function resolveDateString(data, ca, component, width, key) { // From http://www.unicode.org/reports/tr35/tr35.html#Multiple_Inheritance: // 'In clearly specified instances, resources may inherit from within the same locale. // For example, ... the Buddhist calendar inherits from the Gregorian calendar.' var obj = data[ca] && data[ca][component] ? data[ca][component] : data.gregory[component], // "sideways" inheritance resolves strings when a key doesn't exist alts = { narrow: ['short', 'long'], short: ['long', 'narrow'], long: ['short', 'narrow'] }, // resolved = hop.call(obj, width) ? obj[width] : hop.call(obj, alts[width][0]) ? obj[alts[width][0]] : obj[alts[width][1]]; // `key` wouldn't be specified for components 'dayPeriods' return key !== null ? resolved[key] : resolved; } // Define the DateTimeFormat constructor internally so it cannot be tainted function DateTimeFormatConstructor() { var locales = arguments[0]; var options = arguments[1]; if (!this || this === Intl) { return new Intl.DateTimeFormat(locales, options); } return InitializeDateTimeFormat(toObject(this), locales, options); } defineProperty(Intl, 'DateTimeFormat', { configurable: true, writable: true, value: DateTimeFormatConstructor }); // Must explicitly set prototypes as unwritable defineProperty(DateTimeFormatConstructor, 'prototype', { writable: false }); /** * The abstract operation InitializeDateTimeFormat accepts the arguments dateTimeFormat * (which must be an object), locales, and options. It initializes dateTimeFormat as a * DateTimeFormat object. */ function /* 12.1.1.1 */InitializeDateTimeFormat(dateTimeFormat, locales, options) { // This will be a internal properties object if we're not already initialized var internal = getInternalProperties(dateTimeFormat); // Create an object whose props can be used to restore the values of RegExp props var regexpRestore = createRegExpRestore(); // 1. If dateTimeFormat has an [[initializedIntlObject]] internal property with // value true, throw a TypeError exception. if (internal['[[initializedIntlObject]]'] === true) throw new TypeError('`this` object has already been initialized as an Intl object'); // Need this to access the `internal` object defineProperty(dateTimeFormat, '__getInternalProperties', { value: function value() { // NOTE: Non-standard, for internal use only if (arguments[0] === secret) return internal; } }); // 2. Set the [[initializedIntlObject]] internal property of numberFormat to true. internal['[[initializedIntlObject]]'] = true; // 3. Let requestedLocales be the result of calling the CanonicalizeLocaleList // abstract operation (defined in 9.2.1) with argument locales. var requestedLocales = CanonicalizeLocaleList(locales); // 4. Let options be the result of calling the ToDateTimeOptions abstract // operation (defined below) with arguments options, "any", and "date". options = ToDateTimeOptions(options, 'any', 'date'); // 5. Let opt be a new Record. var opt = new Record(); // 6. Let matcher be the result of calling the GetOption abstract operation // (defined in 9.2.9) with arguments options, "localeMatcher", "string", a List // containing the two String values "lookup" and "best fit", and "best fit". var matcher = GetOption(options, 'localeMatcher', 'string', new List('lookup', 'best fit'), 'best fit'); // 7. Set opt.[[localeMatcher]] to matcher. opt['[[localeMatcher]]'] = matcher; // 8. Let DateTimeFormat be the standard built-in object that is the initial // value of Intl.DateTimeFormat. var DateTimeFormat = internals.DateTimeFormat; // This is what we *really* need // 9. Let localeData be the value of the [[localeData]] internal property of // DateTimeFormat. var localeData = DateTimeFormat['[[localeData]]']; // 10. Let r be the result of calling the ResolveLocale abstract operation // (defined in 9.2.5) with the [[availableLocales]] internal property of // DateTimeFormat, requestedLocales, opt, the [[relevantExtensionKeys]] // internal property of DateTimeFormat, and localeData. var r = ResolveLocale(DateTimeFormat['[[availableLocales]]'], requestedLocales, opt, DateTimeFormat['[[relevantExtensionKeys]]'], localeData); // 11. Set the [[locale]] internal property of dateTimeFormat to the value of // r.[[locale]]. internal['[[locale]]'] = r['[[locale]]']; // 12. Set the [[calendar]] internal property of dateTimeFormat to the value of // r.[[ca]]. internal['[[calendar]]'] = r['[[ca]]']; // 13. Set the [[numberingSystem]] internal property of dateTimeFormat to the value of // r.[[nu]]. internal['[[numberingSystem]]'] = r['[[nu]]']; // The specification doesn't tell us to do this, but it's helpful later on internal['[[dataLocale]]'] = r['[[dataLocale]]']; // 14. Let dataLocale be the value of r.[[dataLocale]]. var dataLocale = r['[[dataLocale]]']; // 15. Let tz be the result of calling the [[Get]] internal method of options with // argument "timeZone". var tz = options.timeZone; // 16. If tz is not undefined, then if (tz !== undefined) { // a. Let tz be ToString(tz). // b. Convert tz to upper case as described in 6.1. // NOTE: If an implementation accepts additional time zone values, as permitted // under certain conditions by the Conformance clause, different casing // rules apply. tz = toLatinUpperCase(tz); // c. If tz is not "UTC", then throw a RangeError exception. // ###TODO: accept more time zones### if (tz !== 'UTC') throw new RangeError('timeZone is not supported.'); } // 17. Set the [[timeZone]] internal property of dateTimeFormat to tz. internal['[[timeZone]]'] = tz; // 18. Let opt be a new Record. opt = new Record(); // 19. For each row of Table 3, except the header row, do: for (var prop in dateTimeComponents) { if (!hop.call(dateTimeComponents, prop)) continue; // 20. Let prop be the name given in the Property column of the row. // 21. Let value be the result of calling the GetOption abstract operation, // passing as argument options, the name given in the Property column of the // row, "string", a List containing the strings given in the Values column of // the row, and undefined. var value = GetOption(options, prop, 'string', dateTimeComponents[prop]); // 22. Set opt.[[]] to value. opt['[[' + prop + ']]'] = value; } // Assigned a value below var bestFormat = void 0; // 23. Let dataLocaleData be the result of calling the [[Get]] internal method of // localeData with argument dataLocale. var dataLocaleData = localeData[dataLocale]; // 24. Let formats be the result of calling the [[Get]] internal method of // dataLocaleData with argument "formats". // Note: we process the CLDR formats into the spec'd structure var formats = ToDateTimeFormats(dataLocaleData.formats); // 25. Let matcher be the result of calling the GetOption abstract operation with // arguments options, "formatMatcher", "string", a List containing the two String // values "basic" and "best fit", and "best fit". matcher = GetOption(options, 'formatMatcher', 'string', new List('basic', 'best fit'), 'best fit'); // Optimization: caching the processed formats as a one time operation by // replacing the initial structure from localeData dataLocaleData.formats = formats; // 26. If matcher is "basic", then if (matcher === 'basic') { // 27. Let bestFormat be the result of calling the BasicFormatMatcher abstract // operation (defined below) with opt and formats. bestFormat = BasicFormatMatcher(opt, formats); // 28. Else } else { { // diverging var _hr = GetOption(options, 'hour12', 'boolean' /*, undefined, undefined*/); opt.hour12 = _hr === undefined ? dataLocaleData.hour12 : _hr; } // 29. Let bestFormat be the result of calling the BestFitFormatMatcher // abstract operation (defined below) with opt and formats. bestFormat = BestFitFormatMatcher(opt, formats); } // 30. For each row in Table 3, except the header row, do for (var _prop in dateTimeComponents) { if (!hop.call(dateTimeComponents, _prop)) continue; // a. Let prop be the name given in the Property column of the row. // b. Let pDesc be the result of calling the [[GetOwnProperty]] internal method of // bestFormat with argument prop. // c. If pDesc is not undefined, then if (hop.call(bestFormat, _prop)) { // i. Let p be the result of calling the [[Get]] internal method of bestFormat // with argument prop. var p = bestFormat[_prop]; { // diverging p = bestFormat._ && hop.call(bestFormat._, _prop) ? bestFormat._[_prop] : p; } // ii. Set the [[]] internal property of dateTimeFormat to p. internal['[[' + _prop + ']]'] = p; } } var pattern = void 0; // Assigned a value below // 31. Let hr12 be the result of calling the GetOption abstract operation with // arguments options, "hour12", "boolean", undefined, and undefined. var hr12 = GetOption(options, 'hour12', 'boolean' /*, undefined, undefined*/); // 32. If dateTimeFormat has an internal property [[hour]], then if (internal['[[hour]]']) { // a. If hr12 is undefined, then let hr12 be the result of calling the [[Get]] // internal method of dataLocaleData with argument "hour12". hr12 = hr12 === undefined ? dataLocaleData.hour12 : hr12; // b. Set the [[hour12]] internal property of dateTimeFormat to hr12. internal['[[hour12]]'] = hr12; // c. If hr12 is true, then if (hr12 === true) { // i. Let hourNo0 be the result of calling the [[Get]] internal method of // dataLocaleData with argument "hourNo0". var hourNo0 = dataLocaleData.hourNo0; // ii. Set the [[hourNo0]] internal property of dateTimeFormat to hourNo0. internal['[[hourNo0]]'] = hourNo0; // iii. Let pattern be the result of calling the [[Get]] internal method of // bestFormat with argument "pattern12". pattern = bestFormat.pattern12; } // d. Else else // i. Let pattern be the result of calling the [[Get]] internal method of // bestFormat with argument "pattern". pattern = bestFormat.pattern; } // 33. Else else // a. Let pattern be the result of calling the [[Get]] internal method of // bestFormat with argument "pattern". pattern = bestFormat.pattern; // 34. Set the [[pattern]] internal property of dateTimeFormat to pattern. internal['[[pattern]]'] = pattern; // 35. Set the [[boundFormat]] internal property of dateTimeFormat to undefined. internal['[[boundFormat]]'] = undefined; // 36. Set the [[initializedDateTimeFormat]] internal property of dateTimeFormat to // true. internal['[[initializedDateTimeFormat]]'] = true; // In ES3, we need to pre-bind the format() function if (es3) dateTimeFormat.format = GetFormatDateTime.call(dateTimeFormat); // Restore the RegExp properties regexpRestore(); // Return the newly initialised object return dateTimeFormat; } /** * Several DateTimeFormat algorithms use values from the following table, which provides * property names and allowable values for the components of date and time formats: */ var dateTimeComponents = { weekday: ["narrow", "short", "long"], era: ["narrow", "short", "long"], year: ["2-digit", "numeric"], month: ["2-digit", "numeric", "narrow", "short", "long"], day: ["2-digit", "numeric"], hour: ["2-digit", "numeric"], minute: ["2-digit", "numeric"], second: ["2-digit", "numeric"], timeZoneName: ["short", "long"] }; /** * When the ToDateTimeOptions abstract operation is called with arguments options, * required, and defaults, the following steps are taken: */ function ToDateTimeFormats(formats) { if (Object.prototype.toString.call(formats) === '[object Array]') { return formats; } return createDateTimeFormats(formats); } /** * When the ToDateTimeOptions abstract operation is called with arguments options, * required, and defaults, the following steps are taken: */ function ToDateTimeOptions(options, required, defaults) { // 1. If options is undefined, then let options be null, else let options be // ToObject(options). if (options === undefined) options = null;else { // (#12) options needs to be a Record, but it also needs to inherit properties var opt2 = toObject(options); options = new Record(); for (var k in opt2) { options[k] = opt2[k]; } } // 2. Let create be the standard built-in function object defined in ES5, 15.2.3.5. var create = objCreate; // 3. Let options be the result of calling the [[Call]] internal method of create with // undefined as the this value and an argument list containing the single item // options. options = create(options); // 4. Let needDefaults be true. var needDefaults = true; // 5. If required is "date" or "any", then if (required === 'date' || required === 'any') { // a. For each of the property names "weekday", "year", "month", "day": // i. If the result of calling the [[Get]] internal method of options with the // property name is not undefined, then let needDefaults be false. if (options.weekday !== undefined || options.year !== undefined || options.month !== undefined || options.day !== undefined) needDefaults = false; } // 6. If required is "time" or "any", then if (required === 'time' || required === 'any') { // a. For each of the property names "hour", "minute", "second": // i. If the result of calling the [[Get]] internal method of options with the // property name is not undefined, then let needDefaults be false. if (options.hour !== undefined || options.minute !== undefined || options.second !== undefined) needDefaults = false; } // 7. If needDefaults is true and defaults is either "date" or "all", then if (needDefaults && (defaults === 'date' || defaults === 'all')) // a. For each of the property names "year", "month", "day": // i. Call the [[DefineOwnProperty]] internal method of options with the // property name, Property Descriptor {[[Value]]: "numeric", [[Writable]]: // true, [[Enumerable]]: true, [[Configurable]]: true}, and false. options.year = options.month = options.day = 'numeric'; // 8. If needDefaults is true and defaults is either "time" or "all", then if (needDefaults && (defaults === 'time' || defaults === 'all')) // a. For each of the property names "hour", "minute", "second": // i. Call the [[DefineOwnProperty]] internal method of options with the // property name, Property Descriptor {[[Value]]: "numeric", [[Writable]]: // true, [[Enumerable]]: true, [[Configurable]]: true}, and false. options.hour = options.minute = options.second = 'numeric'; // 9. Return options. return options; } /** * When the BasicFormatMatcher abstract operation is called with two arguments options and * formats, the following steps are taken: */ function BasicFormatMatcher(options, formats) { // 1. Let removalPenalty be 120. var removalPenalty = 120; // 2. Let additionPenalty be 20. var additionPenalty = 20; // 3. Let longLessPenalty be 8. var longLessPenalty = 8; // 4. Let longMorePenalty be 6. var longMorePenalty = 6; // 5. Let shortLessPenalty be 6. var shortLessPenalty = 6; // 6. Let shortMorePenalty be 3. var shortMorePenalty = 3; // 7. Let bestScore be -Infinity. var bestScore = -Infinity; // 8. Let bestFormat be undefined. var bestFormat = void 0; // 9. Let i be 0. var i = 0; // 10. Assert: formats is an Array object. // 11. Let len be the result of calling the [[Get]] internal method of formats with argument "length". var len = formats.length; // 12. Repeat while i < len: while (i < len) { // a. Let format be the result of calling the [[Get]] internal method of formats with argument ToString(i). var format = formats[i]; // b. Let score be 0. var score = 0; // c. For each property shown in Table 3: for (var property in dateTimeComponents) { if (!hop.call(dateTimeComponents, property)) continue; // i. Let optionsProp be options.[[]]. var optionsProp = options['[[' + property + ']]']; // ii. Let formatPropDesc be the result of calling the [[GetOwnProperty]] internal method of format // with argument property. // iii. If formatPropDesc is not undefined, then // 1. Let formatProp be the result of calling the [[Get]] internal method of format with argument property. var formatProp = hop.call(format, property) ? format[property] : undefined; // iv. If optionsProp is undefined and formatProp is not undefined, then decrease score by // additionPenalty. if (optionsProp === undefined && formatProp !== undefined) score -= additionPenalty; // v. Else if optionsProp is not undefined and formatProp is undefined, then decrease score by // removalPenalty. else if (optionsProp !== undefined && formatProp === undefined) score -= removalPenalty; // vi. Else else { // 1. Let values be the array ["2-digit", "numeric", "narrow", "short", // "long"]. var values = ['2-digit', 'numeric', 'narrow', 'short', 'long']; // 2. Let optionsPropIndex be the index of optionsProp within values. var optionsPropIndex = arrIndexOf.call(values, optionsProp); // 3. Let formatPropIndex be the index of formatProp within values. var formatPropIndex = arrIndexOf.call(values, formatProp); // 4. Let delta be max(min(formatPropIndex - optionsPropIndex, 2), -2). var delta = Math.max(Math.min(formatPropIndex - optionsPropIndex, 2), -2); // 5. If delta = 2, decrease score by longMorePenalty. if (delta === 2) score -= longMorePenalty; // 6. Else if delta = 1, decrease score by shortMorePenalty. else if (delta === 1) score -= shortMorePenalty; // 7. Else if delta = -1, decrease score by shortLessPenalty. else if (delta === -1) score -= shortLessPenalty; // 8. Else if delta = -2, decrease score by longLessPenalty. else if (delta === -2) score -= longLessPenalty; } } // d. If score > bestScore, then if (score > bestScore) { // i. Let bestScore be score. bestScore = score; // ii. Let bestFormat be format. bestFormat = format; } // e. Increase i by 1. i++; } // 13. Return bestFormat. return bestFormat; } /** * When the BestFitFormatMatcher abstract operation is called with two arguments options * and formats, it performs implementation dependent steps, which should return a set of * component representations that a typical user of the selected locale would perceive as * at least as good as the one returned by BasicFormatMatcher. * * This polyfill defines the algorithm to be the same as BasicFormatMatcher, * with the addition of bonus points awarded where the requested format is of * the same data type as the potentially matching format. * * This algo relies on the concept of closest distance matching described here: * http://unicode.org/reports/tr35/tr35-dates.html#Matching_Skeletons * Typically a “best match” is found using a closest distance match, such as: * * Symbols requesting a best choice for the locale are replaced. * j → one of {H, k, h, K}; C → one of {a, b, B} * -> Covered by cldr.js matching process * * For fields with symbols representing the same type (year, month, day, etc): * Most symbols have a small distance from each other. * M ≅ L; E ≅ c; a ≅ b ≅ B; H ≅ k ≅ h ≅ K; ... * -> Covered by cldr.js matching process * * Width differences among fields, other than those marking text vs numeric, are given small distance from each other. * MMM ≅ MMMM * MM ≅ M * Numeric and text fields are given a larger distance from each other. * MMM ≈ MM * Symbols representing substantial differences (week of year vs week of month) are given much larger a distances from each other. * d ≋ D; ... * Missing or extra fields cause a match to fail. (But see Missing Skeleton Fields). * * * For example, * * { month: 'numeric', day: 'numeric' } * * should match * * { month: '2-digit', day: '2-digit' } * * rather than * * { month: 'short', day: 'numeric' } * * This makes sense because a user requesting a formatted date with numeric parts would * not expect to see the returned format containing narrow, short or long part names */ function BestFitFormatMatcher(options, formats) { /** Diverging: this block implements the hack for single property configuration, eg.: * * `new Intl.DateTimeFormat('en', {day: 'numeric'})` * * should produce a single digit with the day of the month. This is needed because * CLDR `availableFormats` data structure doesn't cover these cases. */ { var optionsPropNames = []; for (var property in dateTimeComponents) { if (!hop.call(dateTimeComponents, property)) continue; if (options['[[' + property + ']]'] !== undefined) { optionsPropNames.push(property); } } if (optionsPropNames.length === 1) { var _bestFormat = generateSyntheticFormat(optionsPropNames[0], options['[[' + optionsPropNames[0] + ']]']); if (_bestFormat) { return _bestFormat; } } } // 1. Let removalPenalty be 120. var removalPenalty = 120; // 2. Let additionPenalty be 20. var additionPenalty = 20; // 3. Let longLessPenalty be 8. var longLessPenalty = 8; // 4. Let longMorePenalty be 6. var longMorePenalty = 6; // 5. Let shortLessPenalty be 6. var shortLessPenalty = 6; // 6. Let shortMorePenalty be 3. var shortMorePenalty = 3; var patternPenalty = 2; var hour12Penalty = 1; // 7. Let bestScore be -Infinity. var bestScore = -Infinity; // 8. Let bestFormat be undefined. var bestFormat = void 0; // 9. Let i be 0. var i = 0; // 10. Assert: formats is an Array object. // 11. Let len be the result of calling the [[Get]] internal method of formats with argument "length". var len = formats.length; // 12. Repeat while i < len: while (i < len) { // a. Let format be the result of calling the [[Get]] internal method of formats with argument ToString(i). var format = formats[i]; // b. Let score be 0. var score = 0; // c. For each property shown in Table 3: for (var _property in dateTimeComponents) { if (!hop.call(dateTimeComponents, _property)) continue; // i. Let optionsProp be options.[[]]. var optionsProp = options['[[' + _property + ']]']; // ii. Let formatPropDesc be the result of calling the [[GetOwnProperty]] internal method of format // with argument property. // iii. If formatPropDesc is not undefined, then // 1. Let formatProp be the result of calling the [[Get]] internal method of format with argument property. var formatProp = hop.call(format, _property) ? format[_property] : undefined; // Diverging: using the default properties produced by the pattern/skeleton // to match it with user options, and apply a penalty var patternProp = hop.call(format._, _property) ? format._[_property] : undefined; if (optionsProp !== patternProp) { score -= patternPenalty; } // iv. If optionsProp is undefined and formatProp is not undefined, then decrease score by // additionPenalty. if (optionsProp === undefined && formatProp !== undefined) score -= additionPenalty; // v. Else if optionsProp is not undefined and formatProp is undefined, then decrease score by // removalPenalty. else if (optionsProp !== undefined && formatProp === undefined) score -= removalPenalty; // vi. Else else { // 1. Let values be the array ["2-digit", "numeric", "narrow", "short", // "long"]. var values = ['2-digit', 'numeric', 'narrow', 'short', 'long']; // 2. Let optionsPropIndex be the index of optionsProp within values. var optionsPropIndex = arrIndexOf.call(values, optionsProp); // 3. Let formatPropIndex be the index of formatProp within values. var formatPropIndex = arrIndexOf.call(values, formatProp); // 4. Let delta be max(min(formatPropIndex - optionsPropIndex, 2), -2). var delta = Math.max(Math.min(formatPropIndex - optionsPropIndex, 2), -2); { // diverging from spec // When the bestFit argument is true, subtract additional penalty where data types are not the same if (formatPropIndex <= 1 && optionsPropIndex >= 2 || formatPropIndex >= 2 && optionsPropIndex <= 1) { // 5. If delta = 2, decrease score by longMorePenalty. if (delta > 0) score -= longMorePenalty;else if (delta < 0) score -= longLessPenalty; } else { // 5. If delta = 2, decrease score by longMorePenalty. if (delta > 1) score -= shortMorePenalty;else if (delta < -1) score -= shortLessPenalty; } } } } { // diverging to also take into consideration differences between 12 or 24 hours // which is special for the best fit only. if (format._.hour12 !== options.hour12) { score -= hour12Penalty; } } // d. If score > bestScore, then if (score > bestScore) { // i. Let bestScore be score. bestScore = score; // ii. Let bestFormat be format. bestFormat = format; } // e. Increase i by 1. i++; } // 13. Return bestFormat. return bestFormat; } /* 12.2.3 */internals.DateTimeFormat = { '[[availableLocales]]': [], '[[relevantExtensionKeys]]': ['ca', 'nu'], '[[localeData]]': {} }; /** * When the supportedLocalesOf method of Intl.DateTimeFormat is called, the * following steps are taken: */ /* 12.2.2 */ defineProperty(Intl.DateTimeFormat, 'supportedLocalesOf', { configurable: true, writable: true, value: fnBind.call(function (locales) { // Bound functions only have the `this` value altered if being used as a constructor, // this lets us imitate a native function that has no constructor if (!hop.call(this, '[[availableLocales]]')) throw new TypeError('supportedLocalesOf() is not a constructor'); // Create an object whose props can be used to restore the values of RegExp props var regexpRestore = createRegExpRestore(), // 1. If options is not provided, then let options be undefined. options = arguments[1], // 2. Let availableLocales be the value of the [[availableLocales]] internal // property of the standard built-in object that is the initial value of // Intl.NumberFormat. availableLocales = this['[[availableLocales]]'], // 3. Let requestedLocales be the result of calling the CanonicalizeLocaleList // abstract operation (defined in 9.2.1) with argument locales. requestedLocales = CanonicalizeLocaleList(locales); // Restore the RegExp properties regexpRestore(); // 4. Return the result of calling the SupportedLocales abstract operation // (defined in 9.2.8) with arguments availableLocales, requestedLocales, // and options. return SupportedLocales(availableLocales, requestedLocales, options); }, internals.NumberFormat) }); /** * This named accessor property returns a function that formats a number * according to the effective locale and the formatting options of this * DateTimeFormat object. */ /* 12.3.2 */defineProperty(Intl.DateTimeFormat.prototype, 'format', { configurable: true, get: GetFormatDateTime }); function GetFormatDateTime() { var internal = this !== null && babelHelpers$1["typeof"](this) === 'object' && getInternalProperties(this); // Satisfy test 12.3_b if (!internal || !internal['[[initializedDateTimeFormat]]']) throw new TypeError('`this` value for format() is not an initialized Intl.DateTimeFormat object.'); // The value of the [[Get]] attribute is a function that takes the following // steps: // 1. If the [[boundFormat]] internal property of this DateTimeFormat object // is undefined, then: if (internal['[[boundFormat]]'] === undefined) { // a. Let F be a Function object, with internal properties set as // specified for built-in functions in ES5, 15, or successor, and the // length property set to 0, that takes the argument date and // performs the following steps: var F = function F() { var date = arguments.length <= 0 || arguments[0] === undefined ? undefined : arguments[0]; // i. If date is not provided or is undefined, then let x be the // result as if by the expression Date.now() where Date.now is // the standard built-in function defined in ES5, 15.9.4.4. // ii. Else let x be ToNumber(date). // iii. Return the result of calling the FormatDateTime abstract // operation (defined below) with arguments this and x. var x = date === undefined ? Date.now() : toNumber(date); return FormatDateTime(this, x); }; // b. Let bind be the standard built-in function object defined in ES5, // 15.3.4.5. // c. Let bf be the result of calling the [[Call]] internal method of // bind with F as the this value and an argument list containing // the single item this. var bf = fnBind.call(F, this); // d. Set the [[boundFormat]] internal property of this NumberFormat // object to bf. internal['[[boundFormat]]'] = bf; } // Return the value of the [[boundFormat]] internal property of this // NumberFormat object. return internal['[[boundFormat]]']; } function formatToParts$1() { var date = arguments.length <= 0 || arguments[0] === undefined ? undefined : arguments[0]; var internal = this !== null && babelHelpers$1["typeof"](this) === 'object' && getInternalProperties(this); if (!internal || !internal['[[initializedDateTimeFormat]]']) throw new TypeError('`this` value for formatToParts() is not an initialized Intl.DateTimeFormat object.'); var x = date === undefined ? Date.now() : toNumber(date); return FormatToPartsDateTime(this, x); } Object.defineProperty(Intl.DateTimeFormat.prototype, 'formatToParts', { enumerable: false, writable: true, configurable: true, value: formatToParts$1 }); function CreateDateTimeParts(dateTimeFormat, x) { // 1. If x is not a finite Number, then throw a RangeError exception. if (!isFinite(x)) throw new RangeError('Invalid valid date passed to format'); var internal = dateTimeFormat.__getInternalProperties(secret); // Creating restore point for properties on the RegExp object... please wait /* let regexpRestore = */createRegExpRestore(); // ###TODO: review this // 2. Let locale be the value of the [[locale]] internal property of dateTimeFormat. var locale = internal['[[locale]]']; // 3. Let nf be the result of creating a new NumberFormat object as if by the // expression new Intl.NumberFormat([locale], {useGrouping: false}) where // Intl.NumberFormat is the standard built-in constructor defined in 11.1.3. var nf = new Intl.NumberFormat([locale], { useGrouping: false }); // 4. Let nf2 be the result of creating a new NumberFormat object as if by the // expression new Intl.NumberFormat([locale], {minimumIntegerDigits: 2, useGrouping: // false}) where Intl.NumberFormat is the standard built-in constructor defined in // 11.1.3. var nf2 = new Intl.NumberFormat([locale], { minimumIntegerDigits: 2, useGrouping: false }); // 5. Let tm be the result of calling the ToLocalTime abstract operation (defined // below) with x, the value of the [[calendar]] internal property of dateTimeFormat, // and the value of the [[timeZone]] internal property of dateTimeFormat. var tm = ToLocalTime(x, internal['[[calendar]]'], internal['[[timeZone]]']); // 6. Let result be the value of the [[pattern]] internal property of dateTimeFormat. var pattern = internal['[[pattern]]']; // 7. var result = new List(); // 8. var index = 0; // 9. var beginIndex = pattern.indexOf('{'); // 10. var endIndex = 0; // Need the locale minus any extensions var dataLocale = internal['[[dataLocale]]']; // Need the calendar data from CLDR var localeData = internals.DateTimeFormat['[[localeData]]'][dataLocale].calendars; var ca = internal['[[calendar]]']; // 11. while (beginIndex !== -1) { var fv = void 0; // a. endIndex = pattern.indexOf('}', beginIndex); // b. if (endIndex === -1) { throw new Error('Unclosed pattern'); } // c. if (beginIndex > index) { arrPush.call(result, { type: 'literal', value: pattern.substring(index, beginIndex) }); } // d. var p = pattern.substring(beginIndex + 1, endIndex); // e. if (dateTimeComponents.hasOwnProperty(p)) { // i. Let f be the value of the [[

]] internal property of dateTimeFormat. var f = internal['[[' + p + ']]']; // ii. Let v be the value of tm.[[

]]. var v = tm['[[' + p + ']]']; // iii. If p is "year" and v ≤ 0, then let v be 1 - v. if (p === 'year' && v <= 0) { v = 1 - v; } // iv. If p is "month", then increase v by 1. else if (p === 'month') { v++; } // v. If p is "hour" and the value of the [[hour12]] internal property of // dateTimeFormat is true, then else if (p === 'hour' && internal['[[hour12]]'] === true) { // 1. Let v be v modulo 12. v = v % 12; // 2. If v is 0 and the value of the [[hourNo0]] internal property of // dateTimeFormat is true, then let v be 12. if (v === 0 && internal['[[hourNo0]]'] === true) { v = 12; } } // vi. If f is "numeric", then if (f === 'numeric') { // 1. Let fv be the result of calling the FormatNumber abstract operation // (defined in 11.3.2) with arguments nf and v. fv = FormatNumber(nf, v); } // vii. Else if f is "2-digit", then else if (f === '2-digit') { // 1. Let fv be the result of calling the FormatNumber abstract operation // with arguments nf2 and v. fv = FormatNumber(nf2, v); // 2. If the length of fv is greater than 2, let fv be the substring of fv // containing the last two characters. if (fv.length > 2) { fv = fv.slice(-2); } } // viii. Else if f is "narrow", "short", or "long", then let fv be a String // value representing f in the desired form; the String value depends upon // the implementation and the effective locale and calendar of // dateTimeFormat. If p is "month", then the String value may also depend // on whether dateTimeFormat has a [[day]] internal property. If p is // "timeZoneName", then the String value may also depend on the value of // the [[inDST]] field of tm. else if (f in dateWidths) { switch (p) { case 'month': fv = resolveDateString(localeData, ca, 'months', f, tm['[[' + p + ']]']); break; case 'weekday': try { fv = resolveDateString(localeData, ca, 'days', f, tm['[[' + p + ']]']); // fv = resolveDateString(ca.days, f)[tm['[['+ p +']]']]; } catch (e) { throw new Error('Could not find weekday data for locale ' + locale); } break; case 'timeZoneName': fv = ''; // ###TODO break; case 'era': try { fv = resolveDateString(localeData, ca, 'eras', f, tm['[[' + p + ']]']); } catch (e) { throw new Error('Could not find era data for locale ' + locale); } break; default: fv = tm['[[' + p + ']]']; } } // ix arrPush.call(result, { type: p, value: fv }); // f. } else if (p === 'ampm') { // i. var _v = tm['[[hour]]']; // ii./iii. fv = resolveDateString(localeData, ca, 'dayPeriods', _v > 11 ? 'pm' : 'am', null); // iv. arrPush.call(result, { type: 'dayPeriod', value: fv }); // g. } else { arrPush.call(result, { type: 'literal', value: pattern.substring(beginIndex, endIndex + 1) }); } // h. index = endIndex + 1; // i. beginIndex = pattern.indexOf('{', index); } // 12. if (endIndex < pattern.length - 1) { arrPush.call(result, { type: 'literal', value: pattern.substr(endIndex + 1) }); } // 13. return result; } /** * When the FormatDateTime abstract operation is called with arguments dateTimeFormat * (which must be an object initialized as a DateTimeFormat) and x (which must be a Number * value), it returns a String value representing x (interpreted as a time value as * specified in ES5, 15.9.1.1) according to the effective locale and the formatting * options of dateTimeFormat. */ function FormatDateTime(dateTimeFormat, x) { var parts = CreateDateTimeParts(dateTimeFormat, x); var result = ''; for (var i = 0; parts.length > i; i++) { var part = parts[i]; result += part.value; } return result; } function FormatToPartsDateTime(dateTimeFormat, x) { var parts = CreateDateTimeParts(dateTimeFormat, x); var result = []; for (var i = 0; parts.length > i; i++) { var part = parts[i]; result.push({ type: part.type, value: part.value }); } return result; } /** * When the ToLocalTime abstract operation is called with arguments date, calendar, and * timeZone, the following steps are taken: */ function ToLocalTime(date, calendar, timeZone) { // 1. Apply calendrical calculations on date for the given calendar and time zone to // produce weekday, era, year, month, day, hour, minute, second, and inDST values. // The calculations should use best available information about the specified // calendar and time zone. If the calendar is "gregory", then the calculations must // match the algorithms specified in ES5, 15.9.1, except that calculations are not // bound by the restrictions on the use of best available information on time zones // for local time zone adjustment and daylight saving time adjustment imposed by // ES5, 15.9.1.7 and 15.9.1.8. // ###TODO### var d = new Date(date), m = 'get' + (timeZone || ''); // 2. Return a Record with fields [[weekday]], [[era]], [[year]], [[month]], [[day]], // [[hour]], [[minute]], [[second]], and [[inDST]], each with the corresponding // calculated value. return new Record({ '[[weekday]]': d[m + 'Day'](), '[[era]]': +(d[m + 'FullYear']() >= 0), '[[year]]': d[m + 'FullYear'](), '[[month]]': d[m + 'Month'](), '[[day]]': d[m + 'Date'](), '[[hour]]': d[m + 'Hours'](), '[[minute]]': d[m + 'Minutes'](), '[[second]]': d[m + 'Seconds'](), '[[inDST]]': false // ###TODO### }); } /** * The function returns a new object whose properties and attributes are set as if * constructed by an object literal assigning to each of the following properties the * value of the corresponding internal property of this DateTimeFormat object (see 12.4): * locale, calendar, numberingSystem, timeZone, hour12, weekday, era, year, month, day, * hour, minute, second, and timeZoneName. Properties whose corresponding internal * properties are not present are not assigned. */ /* 12.3.3 */defineProperty(Intl.DateTimeFormat.prototype, 'resolvedOptions', { writable: true, configurable: true, value: function value() { var prop = void 0, descs = new Record(), props = ['locale', 'calendar', 'numberingSystem', 'timeZone', 'hour12', 'weekday', 'era', 'year', 'month', 'day', 'hour', 'minute', 'second', 'timeZoneName'], internal = this !== null && babelHelpers$1["typeof"](this) === 'object' && getInternalProperties(this); // Satisfy test 12.3_b if (!internal || !internal['[[initializedDateTimeFormat]]']) throw new TypeError('`this` value for resolvedOptions() is not an initialized Intl.DateTimeFormat object.'); for (var i = 0, max = props.length; i < max; i++) { if (hop.call(internal, prop = '[[' + props[i] + ']]')) descs[props[i]] = { value: internal[prop], writable: true, configurable: true, enumerable: true }; } return objCreate({}, descs); } }); var ls = Intl.__localeSensitiveProtos = { Number: {}, Date: {} }; /** * When the toLocaleString method is called with optional arguments locales and options, * the following steps are taken: */ /* 13.2.1 */ls.Number.toLocaleString = function () { // Satisfy test 13.2.1_1 if (Object.prototype.toString.call(this) !== '[object Number]') throw new TypeError('`this` value must be a number for Number.prototype.toLocaleString()'); // 1. Let x be this Number value (as defined in ES5, 15.7.4). // 2. If locales is not provided, then let locales be undefined. // 3. If options is not provided, then let options be undefined. // 4. Let numberFormat be the result of creating a new object as if by the // expression new Intl.NumberFormat(locales, options) where // Intl.NumberFormat is the standard built-in constructor defined in 11.1.3. // 5. Return the result of calling the FormatNumber abstract operation // (defined in 11.3.2) with arguments numberFormat and x. return FormatNumber(new NumberFormatConstructor(arguments[0], arguments[1]), this); }; /** * When the toLocaleString method is called with optional arguments locales and options, * the following steps are taken: */ /* 13.3.1 */ls.Date.toLocaleString = function () { // Satisfy test 13.3.0_1 if (Object.prototype.toString.call(this) !== '[object Date]') throw new TypeError('`this` value must be a Date instance for Date.prototype.toLocaleString()'); // 1. Let x be this time value (as defined in ES5, 15.9.5). var x = +this; // 2. If x is NaN, then return "Invalid Date". if (isNaN(x)) return 'Invalid Date'; // 3. If locales is not provided, then let locales be undefined. var locales = arguments[0]; // 4. If options is not provided, then let options be undefined. var options = arguments[1]; // 5. Let options be the result of calling the ToDateTimeOptions abstract // operation (defined in 12.1.1) with arguments options, "any", and "all". options = ToDateTimeOptions(options, 'any', 'all'); // 6. Let dateTimeFormat be the result of creating a new object as if by the // expression new Intl.DateTimeFormat(locales, options) where // Intl.DateTimeFormat is the standard built-in constructor defined in 12.1.3. var dateTimeFormat = new DateTimeFormatConstructor(locales, options); // 7. Return the result of calling the FormatDateTime abstract operation (defined // in 12.3.2) with arguments dateTimeFormat and x. return FormatDateTime(dateTimeFormat, x); }; /** * When the toLocaleDateString method is called with optional arguments locales and * options, the following steps are taken: */ /* 13.3.2 */ls.Date.toLocaleDateString = function () { // Satisfy test 13.3.0_1 if (Object.prototype.toString.call(this) !== '[object Date]') throw new TypeError('`this` value must be a Date instance for Date.prototype.toLocaleDateString()'); // 1. Let x be this time value (as defined in ES5, 15.9.5). var x = +this; // 2. If x is NaN, then return "Invalid Date". if (isNaN(x)) return 'Invalid Date'; // 3. If locales is not provided, then let locales be undefined. var locales = arguments[0], // 4. If options is not provided, then let options be undefined. options = arguments[1]; // 5. Let options be the result of calling the ToDateTimeOptions abstract // operation (defined in 12.1.1) with arguments options, "date", and "date". options = ToDateTimeOptions(options, 'date', 'date'); // 6. Let dateTimeFormat be the result of creating a new object as if by the // expression new Intl.DateTimeFormat(locales, options) where // Intl.DateTimeFormat is the standard built-in constructor defined in 12.1.3. var dateTimeFormat = new DateTimeFormatConstructor(locales, options); // 7. Return the result of calling the FormatDateTime abstract operation (defined // in 12.3.2) with arguments dateTimeFormat and x. return FormatDateTime(dateTimeFormat, x); }; /** * When the toLocaleTimeString method is called with optional arguments locales and * options, the following steps are taken: */ /* 13.3.3 */ls.Date.toLocaleTimeString = function () { // Satisfy test 13.3.0_1 if (Object.prototype.toString.call(this) !== '[object Date]') throw new TypeError('`this` value must be a Date instance for Date.prototype.toLocaleTimeString()'); // 1. Let x be this time value (as defined in ES5, 15.9.5). var x = +this; // 2. If x is NaN, then return "Invalid Date". if (isNaN(x)) return 'Invalid Date'; // 3. If locales is not provided, then let locales be undefined. var locales = arguments[0]; // 4. If options is not provided, then let options be undefined. var options = arguments[1]; // 5. Let options be the result of calling the ToDateTimeOptions abstract // operation (defined in 12.1.1) with arguments options, "time", and "time". options = ToDateTimeOptions(options, 'time', 'time'); // 6. Let dateTimeFormat be the result of creating a new object as if by the // expression new Intl.DateTimeFormat(locales, options) where // Intl.DateTimeFormat is the standard built-in constructor defined in 12.1.3. var dateTimeFormat = new DateTimeFormatConstructor(locales, options); // 7. Return the result of calling the FormatDateTime abstract operation (defined // in 12.3.2) with arguments dateTimeFormat and x. return FormatDateTime(dateTimeFormat, x); }; defineProperty(Intl, '__applyLocaleSensitivePrototypes', { writable: true, configurable: true, value: function value() { defineProperty(Number.prototype, 'toLocaleString', { writable: true, configurable: true, value: ls.Number.toLocaleString }); // Need this here for IE 8, to avoid the _DontEnum_ bug defineProperty(Date.prototype, 'toLocaleString', { writable: true, configurable: true, value: ls.Date.toLocaleString }); for (var k in ls.Date) { if (hop.call(ls.Date, k)) defineProperty(Date.prototype, k, { writable: true, configurable: true, value: ls.Date[k] }); } } }); /** * Can't really ship a single script with data for hundreds of locales, so we provide * this __addLocaleData method as a means for the developer to add the data on an * as-needed basis */ defineProperty(Intl, '__addLocaleData', { value: function value(data) { if (!IsStructurallyValidLanguageTag(data.locale)) throw new Error("Object passed doesn't identify itself with a valid language tag"); addLocaleData(data, data.locale); } }); function addLocaleData(data, tag) { // Both NumberFormat and DateTimeFormat require number data, so throw if it isn't present if (!data.number) throw new Error("Object passed doesn't contain locale data for Intl.NumberFormat"); var locale = void 0, locales = [tag], parts = tag.split('-'); // Create fallbacks for locale data with scripts, e.g. Latn, Hans, Vaii, etc if (parts.length > 2 && parts[1].length === 4) arrPush.call(locales, parts[0] + '-' + parts[2]); while (locale = arrShift.call(locales)) { // Add to NumberFormat internal properties as per 11.2.3 arrPush.call(internals.NumberFormat['[[availableLocales]]'], locale); internals.NumberFormat['[[localeData]]'][locale] = data.number; // ...and DateTimeFormat internal properties as per 12.2.3 if (data.date) { data.date.nu = data.number.nu; arrPush.call(internals.DateTimeFormat['[[availableLocales]]'], locale); internals.DateTimeFormat['[[localeData]]'][locale] = data.date; } } // If this is the first set of locale data added, make it the default if (defaultLocale === undefined) setDefaultLocale(tag); } defineProperty(Intl, '__disableRegExpRestore', { value: function value() { internals.disableRegExpRestore = true; } }); module.exports = Intl; /* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(/*! ./../../webpack/buildin/global.js */ "./node_modules/webpack/buildin/global.js"))) /***/ }), /***/ "./node_modules/invariant/browser.js": /*!*******************************************!*\ !*** ./node_modules/invariant/browser.js ***! \*******************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; /** * Copyright (c) 2013-present, Facebook, Inc. * * This source code is licensed under the MIT license found in the * LICENSE file in the root directory of this source tree. */ /** * Use invariant() to assert state which your program assumes to be true. * * Provide sprintf-style format (only %s is supported) and arguments * to provide information about what broke and what you were * expecting. * * The invariant message will be stripped in production, but the invariant * will remain to ensure logic does not differ in production. */ var invariant = function(condition, format, a, b, c, d, e, f) { if (true) { if (format === undefined) { throw new Error('invariant requires an error message argument'); } } if (!condition) { var error; if (format === undefined) { error = new Error( 'Minified exception occurred; use the non-minified dev environment ' + 'for the full error message and additional helpful warnings.' ); } else { var args = [a, b, c, d, e, f]; var argIndex = 0; error = new Error( format.replace(/%s/g, function() { return args[argIndex++]; }) ); error.name = 'Invariant Violation'; } error.framesToPop = 1; // we don't care about invariant's own frame throw error; } }; module.exports = invariant; /***/ }), /***/ "./node_modules/is-callable/index.js": /*!*******************************************!*\ !*** ./node_modules/is-callable/index.js ***! \*******************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; var fnToStr = Function.prototype.toString; var constructorRegex = /^\s*class\b/; var isES6ClassFn = function isES6ClassFunction(value) { try { var fnStr = fnToStr.call(value); return constructorRegex.test(fnStr); } catch (e) { return false; // not a function } }; var tryFunctionObject = function tryFunctionToStr(value) { try { if (isES6ClassFn(value)) { return false; } fnToStr.call(value); return true; } catch (e) { return false; } }; var toStr = Object.prototype.toString; var fnClass = '[object Function]'; var genClass = '[object GeneratorFunction]'; var hasToStringTag = typeof Symbol === 'function' && typeof Symbol.toStringTag === 'symbol'; module.exports = function isCallable(value) { if (!value) { return false; } if (typeof value !== 'function' && typeof value !== 'object') { return false; } if (typeof value === 'function' && !value.prototype) { return true; } if (hasToStringTag) { return tryFunctionObject(value); } if (isES6ClassFn(value)) { return false; } var strClass = toStr.call(value); return strClass === fnClass || strClass === genClass; }; /***/ }), /***/ "./node_modules/is-function/index.js": /*!*******************************************!*\ !*** ./node_modules/is-function/index.js ***! \*******************************************/ /*! no static exports found */ /***/ (function(module, exports) { module.exports = isFunction var toString = Object.prototype.toString function isFunction (fn) { var string = toString.call(fn) return string === '[object Function]' || (typeof fn === 'function' && string !== '[object RegExp]') || (typeof window !== 'undefined' && // IE8 and below (fn === window.setTimeout || fn === window.alert || fn === window.confirm || fn === window.prompt)) }; /***/ }), /***/ "./node_modules/is-in-browser/dist/module.js": /*!***************************************************!*\ !*** ./node_modules/is-in-browser/dist/module.js ***! \***************************************************/ /*! exports provided: isBrowser, default */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "isBrowser", function() { return isBrowser; }); var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; var isBrowser = (typeof window === "undefined" ? "undefined" : _typeof(window)) === "object" && (typeof document === "undefined" ? "undefined" : _typeof(document)) === 'object' && document.nodeType === 9; /* harmony default export */ __webpack_exports__["default"] = (isBrowser); /***/ }), /***/ "./node_modules/isarray/index.js": /*!***************************************!*\ !*** ./node_modules/isarray/index.js ***! \***************************************/ /*! no static exports found */ /***/ (function(module, exports) { var toString = {}.toString; module.exports = Array.isArray || function (arr) { return toString.call(arr) == '[object Array]'; }; /***/ }), /***/ "./node_modules/js-base64/base64.js": /*!******************************************!*\ !*** ./node_modules/js-base64/base64.js ***! \******************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { /* WEBPACK VAR INJECTION */(function(global) {var __WEBPACK_AMD_DEFINE_ARRAY__, __WEBPACK_AMD_DEFINE_RESULT__;/* * base64.js * * Licensed under the BSD 3-Clause License. * http://opensource.org/licenses/BSD-3-Clause * * References: * http://en.wikipedia.org/wiki/Base64 */ ;(function (global, factory) { true ? module.exports = factory(global) : undefined }(( typeof self !== 'undefined' ? self : typeof window !== 'undefined' ? window : typeof global !== 'undefined' ? global : this ), function(global) { 'use strict'; // existing version for noConflict() var _Base64 = global.Base64; var version = "2.4.9"; // if node.js and NOT React Native, we use Buffer var buffer; if ( true && module.exports) { try { buffer = eval("require('buffer').Buffer"); } catch (err) { buffer = undefined; } } // constants var b64chars = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'; var b64tab = function(bin) { var t = {}; for (var i = 0, l = bin.length; i < l; i++) t[bin.charAt(i)] = i; return t; }(b64chars); var fromCharCode = String.fromCharCode; // encoder stuff var cb_utob = function(c) { if (c.length < 2) { var cc = c.charCodeAt(0); return cc < 0x80 ? c : cc < 0x800 ? (fromCharCode(0xc0 | (cc >>> 6)) + fromCharCode(0x80 | (cc & 0x3f))) : (fromCharCode(0xe0 | ((cc >>> 12) & 0x0f)) + fromCharCode(0x80 | ((cc >>> 6) & 0x3f)) + fromCharCode(0x80 | ( cc & 0x3f))); } else { var cc = 0x10000 + (c.charCodeAt(0) - 0xD800) * 0x400 + (c.charCodeAt(1) - 0xDC00); return (fromCharCode(0xf0 | ((cc >>> 18) & 0x07)) + fromCharCode(0x80 | ((cc >>> 12) & 0x3f)) + fromCharCode(0x80 | ((cc >>> 6) & 0x3f)) + fromCharCode(0x80 | ( cc & 0x3f))); } }; var re_utob = /[\uD800-\uDBFF][\uDC00-\uDFFFF]|[^\x00-\x7F]/g; var utob = function(u) { return u.replace(re_utob, cb_utob); }; var cb_encode = function(ccc) { var padlen = [0, 2, 1][ccc.length % 3], ord = ccc.charCodeAt(0) << 16 | ((ccc.length > 1 ? ccc.charCodeAt(1) : 0) << 8) | ((ccc.length > 2 ? ccc.charCodeAt(2) : 0)), chars = [ b64chars.charAt( ord >>> 18), b64chars.charAt((ord >>> 12) & 63), padlen >= 2 ? '=' : b64chars.charAt((ord >>> 6) & 63), padlen >= 1 ? '=' : b64chars.charAt(ord & 63) ]; return chars.join(''); }; var btoa = global.btoa ? function(b) { return global.btoa(b); } : function(b) { return b.replace(/[\s\S]{1,3}/g, cb_encode); }; var _encode = buffer ? buffer.from && Uint8Array && buffer.from !== Uint8Array.from ? function (u) { return (u.constructor === buffer.constructor ? u : buffer.from(u)) .toString('base64') } : function (u) { return (u.constructor === buffer.constructor ? u : new buffer(u)) .toString('base64') } : function (u) { return btoa(utob(u)) } ; var encode = function(u, urisafe) { return !urisafe ? _encode(String(u)) : _encode(String(u)).replace(/[+\/]/g, function(m0) { return m0 == '+' ? '-' : '_'; }).replace(/=/g, ''); }; var encodeURI = function(u) { return encode(u, true) }; // decoder stuff var re_btou = new RegExp([ '[\xC0-\xDF][\x80-\xBF]', '[\xE0-\xEF][\x80-\xBF]{2}', '[\xF0-\xF7][\x80-\xBF]{3}' ].join('|'), 'g'); var cb_btou = function(cccc) { switch(cccc.length) { case 4: var cp = ((0x07 & cccc.charCodeAt(0)) << 18) | ((0x3f & cccc.charCodeAt(1)) << 12) | ((0x3f & cccc.charCodeAt(2)) << 6) | (0x3f & cccc.charCodeAt(3)), offset = cp - 0x10000; return (fromCharCode((offset >>> 10) + 0xD800) + fromCharCode((offset & 0x3FF) + 0xDC00)); case 3: return fromCharCode( ((0x0f & cccc.charCodeAt(0)) << 12) | ((0x3f & cccc.charCodeAt(1)) << 6) | (0x3f & cccc.charCodeAt(2)) ); default: return fromCharCode( ((0x1f & cccc.charCodeAt(0)) << 6) | (0x3f & cccc.charCodeAt(1)) ); } }; var btou = function(b) { return b.replace(re_btou, cb_btou); }; var cb_decode = function(cccc) { var len = cccc.length, padlen = len % 4, n = (len > 0 ? b64tab[cccc.charAt(0)] << 18 : 0) | (len > 1 ? b64tab[cccc.charAt(1)] << 12 : 0) | (len > 2 ? b64tab[cccc.charAt(2)] << 6 : 0) | (len > 3 ? b64tab[cccc.charAt(3)] : 0), chars = [ fromCharCode( n >>> 16), fromCharCode((n >>> 8) & 0xff), fromCharCode( n & 0xff) ]; chars.length -= [0, 0, 2, 1][padlen]; return chars.join(''); }; var atob = global.atob ? function(a) { return global.atob(a); } : function(a){ return a.replace(/[\s\S]{1,4}/g, cb_decode); }; var _decode = buffer ? buffer.from && Uint8Array && buffer.from !== Uint8Array.from ? function(a) { return (a.constructor === buffer.constructor ? a : buffer.from(a, 'base64')).toString(); } : function(a) { return (a.constructor === buffer.constructor ? a : new buffer(a, 'base64')).toString(); } : function(a) { return btou(atob(a)) }; var decode = function(a){ return _decode( String(a).replace(/[-_]/g, function(m0) { return m0 == '-' ? '+' : '/' }) .replace(/[^A-Za-z0-9\+\/]/g, '') ); }; var noConflict = function() { var Base64 = global.Base64; global.Base64 = _Base64; return Base64; }; // export Base64 global.Base64 = { VERSION: version, atob: atob, btoa: btoa, fromBase64: decode, toBase64: encode, utob: utob, encode: encode, encodeURI: encodeURI, btou: btou, decode: decode, noConflict: noConflict, __buffer__: buffer }; // if ES5 is available, make Base64.extendString() available if (typeof Object.defineProperty === 'function') { var noEnum = function(v){ return {value:v,enumerable:false,writable:true,configurable:true}; }; global.Base64.extendString = function () { Object.defineProperty( String.prototype, 'fromBase64', noEnum(function () { return decode(this) })); Object.defineProperty( String.prototype, 'toBase64', noEnum(function (urisafe) { return encode(this, urisafe) })); Object.defineProperty( String.prototype, 'toBase64URI', noEnum(function () { return encode(this, true) })); }; } // // export Base64 to the namespace // if (global['Meteor']) { // Meteor.js Base64 = global.Base64; } // module.exports and AMD are mutually exclusive. // module.exports has precedence. if ( true && module.exports) { module.exports.Base64 = global.Base64; } else if (true) { // AMD. Register as an anonymous module. !(__WEBPACK_AMD_DEFINE_ARRAY__ = [], __WEBPACK_AMD_DEFINE_RESULT__ = (function(){ return global.Base64 }).apply(exports, __WEBPACK_AMD_DEFINE_ARRAY__), __WEBPACK_AMD_DEFINE_RESULT__ !== undefined && (module.exports = __WEBPACK_AMD_DEFINE_RESULT__)); } // that's it! return {Base64: global.Base64} })); /* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(/*! ./../webpack/buildin/global.js */ "./node_modules/webpack/buildin/global.js"))) /***/ }), /***/ "./node_modules/js-md5/src/md5.js": /*!****************************************!*\ !*** ./node_modules/js-md5/src/md5.js ***! \****************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { /* WEBPACK VAR INJECTION */(function(process, global) {var __WEBPACK_AMD_DEFINE_RESULT__;/** * [js-md5]{@link https://github.com/emn178/js-md5} * * @namespace md5 * @version 0.7.3 * @author Chen, Yi-Cyuan [emn178@gmail.com] * @copyright Chen, Yi-Cyuan 2014-2017 * @license MIT */ (function () { 'use strict'; var ERROR = 'input is invalid type'; var WINDOW = typeof window === 'object'; var root = WINDOW ? window : {}; if (root.JS_MD5_NO_WINDOW) { WINDOW = false; } var WEB_WORKER = !WINDOW && typeof self === 'object'; var NODE_JS = !root.JS_MD5_NO_NODE_JS && typeof process === 'object' && process.versions && process.versions.node; if (NODE_JS) { root = global; } else if (WEB_WORKER) { root = self; } var COMMON_JS = !root.JS_MD5_NO_COMMON_JS && typeof module === 'object' && module.exports; var AMD = true && __webpack_require__(/*! !webpack amd options */ "./node_modules/webpack/buildin/amd-options.js"); var ARRAY_BUFFER = !root.JS_MD5_NO_ARRAY_BUFFER && typeof ArrayBuffer !== 'undefined'; var HEX_CHARS = '0123456789abcdef'.split(''); var EXTRA = [128, 32768, 8388608, -2147483648]; var SHIFT = [0, 8, 16, 24]; var OUTPUT_TYPES = ['hex', 'array', 'digest', 'buffer', 'arrayBuffer', 'base64']; var BASE64_ENCODE_CHAR = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'.split(''); var blocks = [], buffer8; if (ARRAY_BUFFER) { var buffer = new ArrayBuffer(68); buffer8 = new Uint8Array(buffer); blocks = new Uint32Array(buffer); } if (root.JS_MD5_NO_NODE_JS || !Array.isArray) { Array.isArray = function (obj) { return Object.prototype.toString.call(obj) === '[object Array]'; }; } if (ARRAY_BUFFER && (root.JS_MD5_NO_ARRAY_BUFFER_IS_VIEW || !ArrayBuffer.isView)) { ArrayBuffer.isView = function (obj) { return typeof obj === 'object' && obj.buffer && obj.buffer.constructor === ArrayBuffer; }; } /** * @method hex * @memberof md5 * @description Output hash as hex string * @param {String|Array|Uint8Array|ArrayBuffer} message message to hash * @returns {String} Hex string * @example * md5.hex('The quick brown fox jumps over the lazy dog'); * // equal to * md5('The quick brown fox jumps over the lazy dog'); */ /** * @method digest * @memberof md5 * @description Output hash as bytes array * @param {String|Array|Uint8Array|ArrayBuffer} message message to hash * @returns {Array} Bytes array * @example * md5.digest('The quick brown fox jumps over the lazy dog'); */ /** * @method array * @memberof md5 * @description Output hash as bytes array * @param {String|Array|Uint8Array|ArrayBuffer} message message to hash * @returns {Array} Bytes array * @example * md5.array('The quick brown fox jumps over the lazy dog'); */ /** * @method arrayBuffer * @memberof md5 * @description Output hash as ArrayBuffer * @param {String|Array|Uint8Array|ArrayBuffer} message message to hash * @returns {ArrayBuffer} ArrayBuffer * @example * md5.arrayBuffer('The quick brown fox jumps over the lazy dog'); */ /** * @method buffer * @deprecated This maybe confuse with Buffer in node.js. Please use arrayBuffer instead. * @memberof md5 * @description Output hash as ArrayBuffer * @param {String|Array|Uint8Array|ArrayBuffer} message message to hash * @returns {ArrayBuffer} ArrayBuffer * @example * md5.buffer('The quick brown fox jumps over the lazy dog'); */ /** * @method base64 * @memberof md5 * @description Output hash as base64 string * @param {String|Array|Uint8Array|ArrayBuffer} message message to hash * @returns {String} base64 string * @example * md5.base64('The quick brown fox jumps over the lazy dog'); */ var createOutputMethod = function (outputType) { return function (message) { return new Md5(true).update(message)[outputType](); }; }; /** * @method create * @memberof md5 * @description Create Md5 object * @returns {Md5} Md5 object. * @example * var hash = md5.create(); */ /** * @method update * @memberof md5 * @description Create and update Md5 object * @param {String|Array|Uint8Array|ArrayBuffer} message message to hash * @returns {Md5} Md5 object. * @example * var hash = md5.update('The quick brown fox jumps over the lazy dog'); * // equal to * var hash = md5.create(); * hash.update('The quick brown fox jumps over the lazy dog'); */ var createMethod = function () { var method = createOutputMethod('hex'); if (NODE_JS) { method = nodeWrap(method); } method.create = function () { return new Md5(); }; method.update = function (message) { return method.create().update(message); }; for (var i = 0; i < OUTPUT_TYPES.length; ++i) { var type = OUTPUT_TYPES[i]; method[type] = createOutputMethod(type); } return method; }; var nodeWrap = function (method) { var crypto = eval("require('crypto')"); var Buffer = eval("require('buffer').Buffer"); var nodeMethod = function (message) { if (typeof message === 'string') { return crypto.createHash('md5').update(message, 'utf8').digest('hex'); } else { if (message === null || message === undefined) { throw ERROR; } else if (message.constructor === ArrayBuffer) { message = new Uint8Array(message); } } if (Array.isArray(message) || ArrayBuffer.isView(message) || message.constructor === Buffer) { return crypto.createHash('md5').update(new Buffer(message)).digest('hex'); } else { return method(message); } }; return nodeMethod; }; /** * Md5 class * @class Md5 * @description This is internal class. * @see {@link md5.create} */ function Md5(sharedMemory) { if (sharedMemory) { blocks[0] = blocks[16] = blocks[1] = blocks[2] = blocks[3] = blocks[4] = blocks[5] = blocks[6] = blocks[7] = blocks[8] = blocks[9] = blocks[10] = blocks[11] = blocks[12] = blocks[13] = blocks[14] = blocks[15] = 0; this.blocks = blocks; this.buffer8 = buffer8; } else { if (ARRAY_BUFFER) { var buffer = new ArrayBuffer(68); this.buffer8 = new Uint8Array(buffer); this.blocks = new Uint32Array(buffer); } else { this.blocks = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]; } } this.h0 = this.h1 = this.h2 = this.h3 = this.start = this.bytes = this.hBytes = 0; this.finalized = this.hashed = false; this.first = true; } /** * @method update * @memberof Md5 * @instance * @description Update hash * @param {String|Array|Uint8Array|ArrayBuffer} message message to hash * @returns {Md5} Md5 object. * @see {@link md5.update} */ Md5.prototype.update = function (message) { if (this.finalized) { return; } var notString, type = typeof message; if (type !== 'string') { if (type === 'object') { if (message === null) { throw ERROR; } else if (ARRAY_BUFFER && message.constructor === ArrayBuffer) { message = new Uint8Array(message); } else if (!Array.isArray(message)) { if (!ARRAY_BUFFER || !ArrayBuffer.isView(message)) { throw ERROR; } } } else { throw ERROR; } notString = true; } var code, index = 0, i, length = message.length, blocks = this.blocks; var buffer8 = this.buffer8; while (index < length) { if (this.hashed) { this.hashed = false; blocks[0] = blocks[16]; blocks[16] = blocks[1] = blocks[2] = blocks[3] = blocks[4] = blocks[5] = blocks[6] = blocks[7] = blocks[8] = blocks[9] = blocks[10] = blocks[11] = blocks[12] = blocks[13] = blocks[14] = blocks[15] = 0; } if (notString) { if (ARRAY_BUFFER) { for (i = this.start; index < length && i < 64; ++index) { buffer8[i++] = message[index]; } } else { for (i = this.start; index < length && i < 64; ++index) { blocks[i >> 2] |= message[index] << SHIFT[i++ & 3]; } } } else { if (ARRAY_BUFFER) { for (i = this.start; index < length && i < 64; ++index) { code = message.charCodeAt(index); if (code < 0x80) { buffer8[i++] = code; } else if (code < 0x800) { buffer8[i++] = 0xc0 | (code >> 6); buffer8[i++] = 0x80 | (code & 0x3f); } else if (code < 0xd800 || code >= 0xe000) { buffer8[i++] = 0xe0 | (code >> 12); buffer8[i++] = 0x80 | ((code >> 6) & 0x3f); buffer8[i++] = 0x80 | (code & 0x3f); } else { code = 0x10000 + (((code & 0x3ff) << 10) | (message.charCodeAt(++index) & 0x3ff)); buffer8[i++] = 0xf0 | (code >> 18); buffer8[i++] = 0x80 | ((code >> 12) & 0x3f); buffer8[i++] = 0x80 | ((code >> 6) & 0x3f); buffer8[i++] = 0x80 | (code & 0x3f); } } } else { for (i = this.start; index < length && i < 64; ++index) { code = message.charCodeAt(index); if (code < 0x80) { blocks[i >> 2] |= code << SHIFT[i++ & 3]; } else if (code < 0x800) { blocks[i >> 2] |= (0xc0 | (code >> 6)) << SHIFT[i++ & 3]; blocks[i >> 2] |= (0x80 | (code & 0x3f)) << SHIFT[i++ & 3]; } else if (code < 0xd800 || code >= 0xe000) { blocks[i >> 2] |= (0xe0 | (code >> 12)) << SHIFT[i++ & 3]; blocks[i >> 2] |= (0x80 | ((code >> 6) & 0x3f)) << SHIFT[i++ & 3]; blocks[i >> 2] |= (0x80 | (code & 0x3f)) << SHIFT[i++ & 3]; } else { code = 0x10000 + (((code & 0x3ff) << 10) | (message.charCodeAt(++index) & 0x3ff)); blocks[i >> 2] |= (0xf0 | (code >> 18)) << SHIFT[i++ & 3]; blocks[i >> 2] |= (0x80 | ((code >> 12) & 0x3f)) << SHIFT[i++ & 3]; blocks[i >> 2] |= (0x80 | ((code >> 6) & 0x3f)) << SHIFT[i++ & 3]; blocks[i >> 2] |= (0x80 | (code & 0x3f)) << SHIFT[i++ & 3]; } } } } this.lastByteIndex = i; this.bytes += i - this.start; if (i >= 64) { this.start = i - 64; this.hash(); this.hashed = true; } else { this.start = i; } } if (this.bytes > 4294967295) { this.hBytes += this.bytes / 4294967296 << 0; this.bytes = this.bytes % 4294967296; } return this; }; Md5.prototype.finalize = function () { if (this.finalized) { return; } this.finalized = true; var blocks = this.blocks, i = this.lastByteIndex; blocks[i >> 2] |= EXTRA[i & 3]; if (i >= 56) { if (!this.hashed) { this.hash(); } blocks[0] = blocks[16]; blocks[16] = blocks[1] = blocks[2] = blocks[3] = blocks[4] = blocks[5] = blocks[6] = blocks[7] = blocks[8] = blocks[9] = blocks[10] = blocks[11] = blocks[12] = blocks[13] = blocks[14] = blocks[15] = 0; } blocks[14] = this.bytes << 3; blocks[15] = this.hBytes << 3 | this.bytes >>> 29; this.hash(); }; Md5.prototype.hash = function () { var a, b, c, d, bc, da, blocks = this.blocks; if (this.first) { a = blocks[0] - 680876937; a = (a << 7 | a >>> 25) - 271733879 << 0; d = (-1732584194 ^ a & 2004318071) + blocks[1] - 117830708; d = (d << 12 | d >>> 20) + a << 0; c = (-271733879 ^ (d & (a ^ -271733879))) + blocks[2] - 1126478375; c = (c << 17 | c >>> 15) + d << 0; b = (a ^ (c & (d ^ a))) + blocks[3] - 1316259209; b = (b << 22 | b >>> 10) + c << 0; } else { a = this.h0; b = this.h1; c = this.h2; d = this.h3; a += (d ^ (b & (c ^ d))) + blocks[0] - 680876936; a = (a << 7 | a >>> 25) + b << 0; d += (c ^ (a & (b ^ c))) + blocks[1] - 389564586; d = (d << 12 | d >>> 20) + a << 0; c += (b ^ (d & (a ^ b))) + blocks[2] + 606105819; c = (c << 17 | c >>> 15) + d << 0; b += (a ^ (c & (d ^ a))) + blocks[3] - 1044525330; b = (b << 22 | b >>> 10) + c << 0; } a += (d ^ (b & (c ^ d))) + blocks[4] - 176418897; a = (a << 7 | a >>> 25) + b << 0; d += (c ^ (a & (b ^ c))) + blocks[5] + 1200080426; d = (d << 12 | d >>> 20) + a << 0; c += (b ^ (d & (a ^ b))) + blocks[6] - 1473231341; c = (c << 17 | c >>> 15) + d << 0; b += (a ^ (c & (d ^ a))) + blocks[7] - 45705983; b = (b << 22 | b >>> 10) + c << 0; a += (d ^ (b & (c ^ d))) + blocks[8] + 1770035416; a = (a << 7 | a >>> 25) + b << 0; d += (c ^ (a & (b ^ c))) + blocks[9] - 1958414417; d = (d << 12 | d >>> 20) + a << 0; c += (b ^ (d & (a ^ b))) + blocks[10] - 42063; c = (c << 17 | c >>> 15) + d << 0; b += (a ^ (c & (d ^ a))) + blocks[11] - 1990404162; b = (b << 22 | b >>> 10) + c << 0; a += (d ^ (b & (c ^ d))) + blocks[12] + 1804603682; a = (a << 7 | a >>> 25) + b << 0; d += (c ^ (a & (b ^ c))) + blocks[13] - 40341101; d = (d << 12 | d >>> 20) + a << 0; c += (b ^ (d & (a ^ b))) + blocks[14] - 1502002290; c = (c << 17 | c >>> 15) + d << 0; b += (a ^ (c & (d ^ a))) + blocks[15] + 1236535329; b = (b << 22 | b >>> 10) + c << 0; a += (c ^ (d & (b ^ c))) + blocks[1] - 165796510; a = (a << 5 | a >>> 27) + b << 0; d += (b ^ (c & (a ^ b))) + blocks[6] - 1069501632; d = (d << 9 | d >>> 23) + a << 0; c += (a ^ (b & (d ^ a))) + blocks[11] + 643717713; c = (c << 14 | c >>> 18) + d << 0; b += (d ^ (a & (c ^ d))) + blocks[0] - 373897302; b = (b << 20 | b >>> 12) + c << 0; a += (c ^ (d & (b ^ c))) + blocks[5] - 701558691; a = (a << 5 | a >>> 27) + b << 0; d += (b ^ (c & (a ^ b))) + blocks[10] + 38016083; d = (d << 9 | d >>> 23) + a << 0; c += (a ^ (b & (d ^ a))) + blocks[15] - 660478335; c = (c << 14 | c >>> 18) + d << 0; b += (d ^ (a & (c ^ d))) + blocks[4] - 405537848; b = (b << 20 | b >>> 12) + c << 0; a += (c ^ (d & (b ^ c))) + blocks[9] + 568446438; a = (a << 5 | a >>> 27) + b << 0; d += (b ^ (c & (a ^ b))) + blocks[14] - 1019803690; d = (d << 9 | d >>> 23) + a << 0; c += (a ^ (b & (d ^ a))) + blocks[3] - 187363961; c = (c << 14 | c >>> 18) + d << 0; b += (d ^ (a & (c ^ d))) + blocks[8] + 1163531501; b = (b << 20 | b >>> 12) + c << 0; a += (c ^ (d & (b ^ c))) + blocks[13] - 1444681467; a = (a << 5 | a >>> 27) + b << 0; d += (b ^ (c & (a ^ b))) + blocks[2] - 51403784; d = (d << 9 | d >>> 23) + a << 0; c += (a ^ (b & (d ^ a))) + blocks[7] + 1735328473; c = (c << 14 | c >>> 18) + d << 0; b += (d ^ (a & (c ^ d))) + blocks[12] - 1926607734; b = (b << 20 | b >>> 12) + c << 0; bc = b ^ c; a += (bc ^ d) + blocks[5] - 378558; a = (a << 4 | a >>> 28) + b << 0; d += (bc ^ a) + blocks[8] - 2022574463; d = (d << 11 | d >>> 21) + a << 0; da = d ^ a; c += (da ^ b) + blocks[11] + 1839030562; c = (c << 16 | c >>> 16) + d << 0; b += (da ^ c) + blocks[14] - 35309556; b = (b << 23 | b >>> 9) + c << 0; bc = b ^ c; a += (bc ^ d) + blocks[1] - 1530992060; a = (a << 4 | a >>> 28) + b << 0; d += (bc ^ a) + blocks[4] + 1272893353; d = (d << 11 | d >>> 21) + a << 0; da = d ^ a; c += (da ^ b) + blocks[7] - 155497632; c = (c << 16 | c >>> 16) + d << 0; b += (da ^ c) + blocks[10] - 1094730640; b = (b << 23 | b >>> 9) + c << 0; bc = b ^ c; a += (bc ^ d) + blocks[13] + 681279174; a = (a << 4 | a >>> 28) + b << 0; d += (bc ^ a) + blocks[0] - 358537222; d = (d << 11 | d >>> 21) + a << 0; da = d ^ a; c += (da ^ b) + blocks[3] - 722521979; c = (c << 16 | c >>> 16) + d << 0; b += (da ^ c) + blocks[6] + 76029189; b = (b << 23 | b >>> 9) + c << 0; bc = b ^ c; a += (bc ^ d) + blocks[9] - 640364487; a = (a << 4 | a >>> 28) + b << 0; d += (bc ^ a) + blocks[12] - 421815835; d = (d << 11 | d >>> 21) + a << 0; da = d ^ a; c += (da ^ b) + blocks[15] + 530742520; c = (c << 16 | c >>> 16) + d << 0; b += (da ^ c) + blocks[2] - 995338651; b = (b << 23 | b >>> 9) + c << 0; a += (c ^ (b | ~d)) + blocks[0] - 198630844; a = (a << 6 | a >>> 26) + b << 0; d += (b ^ (a | ~c)) + blocks[7] + 1126891415; d = (d << 10 | d >>> 22) + a << 0; c += (a ^ (d | ~b)) + blocks[14] - 1416354905; c = (c << 15 | c >>> 17) + d << 0; b += (d ^ (c | ~a)) + blocks[5] - 57434055; b = (b << 21 | b >>> 11) + c << 0; a += (c ^ (b | ~d)) + blocks[12] + 1700485571; a = (a << 6 | a >>> 26) + b << 0; d += (b ^ (a | ~c)) + blocks[3] - 1894986606; d = (d << 10 | d >>> 22) + a << 0; c += (a ^ (d | ~b)) + blocks[10] - 1051523; c = (c << 15 | c >>> 17) + d << 0; b += (d ^ (c | ~a)) + blocks[1] - 2054922799; b = (b << 21 | b >>> 11) + c << 0; a += (c ^ (b | ~d)) + blocks[8] + 1873313359; a = (a << 6 | a >>> 26) + b << 0; d += (b ^ (a | ~c)) + blocks[15] - 30611744; d = (d << 10 | d >>> 22) + a << 0; c += (a ^ (d | ~b)) + blocks[6] - 1560198380; c = (c << 15 | c >>> 17) + d << 0; b += (d ^ (c | ~a)) + blocks[13] + 1309151649; b = (b << 21 | b >>> 11) + c << 0; a += (c ^ (b | ~d)) + blocks[4] - 145523070; a = (a << 6 | a >>> 26) + b << 0; d += (b ^ (a | ~c)) + blocks[11] - 1120210379; d = (d << 10 | d >>> 22) + a << 0; c += (a ^ (d | ~b)) + blocks[2] + 718787259; c = (c << 15 | c >>> 17) + d << 0; b += (d ^ (c | ~a)) + blocks[9] - 343485551; b = (b << 21 | b >>> 11) + c << 0; if (this.first) { this.h0 = a + 1732584193 << 0; this.h1 = b - 271733879 << 0; this.h2 = c - 1732584194 << 0; this.h3 = d + 271733878 << 0; this.first = false; } else { this.h0 = this.h0 + a << 0; this.h1 = this.h1 + b << 0; this.h2 = this.h2 + c << 0; this.h3 = this.h3 + d << 0; } }; /** * @method hex * @memberof Md5 * @instance * @description Output hash as hex string * @returns {String} Hex string * @see {@link md5.hex} * @example * hash.hex(); */ Md5.prototype.hex = function () { this.finalize(); var h0 = this.h0, h1 = this.h1, h2 = this.h2, h3 = this.h3; return HEX_CHARS[(h0 >> 4) & 0x0F] + HEX_CHARS[h0 & 0x0F] + HEX_CHARS[(h0 >> 12) & 0x0F] + HEX_CHARS[(h0 >> 8) & 0x0F] + HEX_CHARS[(h0 >> 20) & 0x0F] + HEX_CHARS[(h0 >> 16) & 0x0F] + HEX_CHARS[(h0 >> 28) & 0x0F] + HEX_CHARS[(h0 >> 24) & 0x0F] + HEX_CHARS[(h1 >> 4) & 0x0F] + HEX_CHARS[h1 & 0x0F] + HEX_CHARS[(h1 >> 12) & 0x0F] + HEX_CHARS[(h1 >> 8) & 0x0F] + HEX_CHARS[(h1 >> 20) & 0x0F] + HEX_CHARS[(h1 >> 16) & 0x0F] + HEX_CHARS[(h1 >> 28) & 0x0F] + HEX_CHARS[(h1 >> 24) & 0x0F] + HEX_CHARS[(h2 >> 4) & 0x0F] + HEX_CHARS[h2 & 0x0F] + HEX_CHARS[(h2 >> 12) & 0x0F] + HEX_CHARS[(h2 >> 8) & 0x0F] + HEX_CHARS[(h2 >> 20) & 0x0F] + HEX_CHARS[(h2 >> 16) & 0x0F] + HEX_CHARS[(h2 >> 28) & 0x0F] + HEX_CHARS[(h2 >> 24) & 0x0F] + HEX_CHARS[(h3 >> 4) & 0x0F] + HEX_CHARS[h3 & 0x0F] + HEX_CHARS[(h3 >> 12) & 0x0F] + HEX_CHARS[(h3 >> 8) & 0x0F] + HEX_CHARS[(h3 >> 20) & 0x0F] + HEX_CHARS[(h3 >> 16) & 0x0F] + HEX_CHARS[(h3 >> 28) & 0x0F] + HEX_CHARS[(h3 >> 24) & 0x0F]; }; /** * @method toString * @memberof Md5 * @instance * @description Output hash as hex string * @returns {String} Hex string * @see {@link md5.hex} * @example * hash.toString(); */ Md5.prototype.toString = Md5.prototype.hex; /** * @method digest * @memberof Md5 * @instance * @description Output hash as bytes array * @returns {Array} Bytes array * @see {@link md5.digest} * @example * hash.digest(); */ Md5.prototype.digest = function () { this.finalize(); var h0 = this.h0, h1 = this.h1, h2 = this.h2, h3 = this.h3; return [ h0 & 0xFF, (h0 >> 8) & 0xFF, (h0 >> 16) & 0xFF, (h0 >> 24) & 0xFF, h1 & 0xFF, (h1 >> 8) & 0xFF, (h1 >> 16) & 0xFF, (h1 >> 24) & 0xFF, h2 & 0xFF, (h2 >> 8) & 0xFF, (h2 >> 16) & 0xFF, (h2 >> 24) & 0xFF, h3 & 0xFF, (h3 >> 8) & 0xFF, (h3 >> 16) & 0xFF, (h3 >> 24) & 0xFF ]; }; /** * @method array * @memberof Md5 * @instance * @description Output hash as bytes array * @returns {Array} Bytes array * @see {@link md5.array} * @example * hash.array(); */ Md5.prototype.array = Md5.prototype.digest; /** * @method arrayBuffer * @memberof Md5 * @instance * @description Output hash as ArrayBuffer * @returns {ArrayBuffer} ArrayBuffer * @see {@link md5.arrayBuffer} * @example * hash.arrayBuffer(); */ Md5.prototype.arrayBuffer = function () { this.finalize(); var buffer = new ArrayBuffer(16); var blocks = new Uint32Array(buffer); blocks[0] = this.h0; blocks[1] = this.h1; blocks[2] = this.h2; blocks[3] = this.h3; return buffer; }; /** * @method buffer * @deprecated This maybe confuse with Buffer in node.js. Please use arrayBuffer instead. * @memberof Md5 * @instance * @description Output hash as ArrayBuffer * @returns {ArrayBuffer} ArrayBuffer * @see {@link md5.buffer} * @example * hash.buffer(); */ Md5.prototype.buffer = Md5.prototype.arrayBuffer; /** * @method base64 * @memberof Md5 * @instance * @description Output hash as base64 string * @returns {String} base64 string * @see {@link md5.base64} * @example * hash.base64(); */ Md5.prototype.base64 = function () { var v1, v2, v3, base64Str = '', bytes = this.array(); for (var i = 0; i < 15;) { v1 = bytes[i++]; v2 = bytes[i++]; v3 = bytes[i++]; base64Str += BASE64_ENCODE_CHAR[v1 >>> 2] + BASE64_ENCODE_CHAR[(v1 << 4 | v2 >>> 4) & 63] + BASE64_ENCODE_CHAR[(v2 << 2 | v3 >>> 6) & 63] + BASE64_ENCODE_CHAR[v3 & 63]; } v1 = bytes[i]; base64Str += BASE64_ENCODE_CHAR[v1 >>> 2] + BASE64_ENCODE_CHAR[(v1 << 4) & 63] + '=='; return base64Str; }; var exports = createMethod(); if (COMMON_JS) { module.exports = exports; } else { /** * @method md5 * @description Md5 hash function, export to global in browsers. * @param {String|Array|Uint8Array|ArrayBuffer} message message to hash * @returns {String} md5 hashes * @example * md5(''); // d41d8cd98f00b204e9800998ecf8427e * md5('The quick brown fox jumps over the lazy dog'); // 9e107d9d372bb6826bd81d3542a419d6 * md5('The quick brown fox jumps over the lazy dog.'); // e4d909c290d0fb1ca068ffaddf22cbd0 * * // It also supports UTF-8 encoding * md5('中文'); // a7bac2239fcdcb3a067903d8077c4a07 * * // It also supports byte `Array`, `Uint8Array`, `ArrayBuffer` * md5([]); // d41d8cd98f00b204e9800998ecf8427e * md5(new Uint8Array([])); // d41d8cd98f00b204e9800998ecf8427e */ root.md5 = exports; if (AMD) { !(__WEBPACK_AMD_DEFINE_RESULT__ = (function () { return exports; }).call(exports, __webpack_require__, exports, module), __WEBPACK_AMD_DEFINE_RESULT__ !== undefined && (module.exports = __WEBPACK_AMD_DEFINE_RESULT__)); } } })(); /* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(/*! ./../../node-libs-browser/node_modules/process/browser.js */ "./node_modules/node-libs-browser/node_modules/process/browser.js"), __webpack_require__(/*! ./../../webpack/buildin/global.js */ "./node_modules/webpack/buildin/global.js"))) /***/ }), /***/ "./node_modules/keymirror/index.js": /*!*****************************************!*\ !*** ./node_modules/keymirror/index.js ***! \*****************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; /** * Copyright 2013-2014 Facebook, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * */ /** * Constructs an enumeration with keys equal to their value. * * For example: * * var COLORS = keyMirror({blue: null, red: null}); * var myColor = COLORS.blue; * var isColorValid = !!COLORS[myColor]; * * The last line could not be performed if the values of the generated enum were * not equal to their keys. * * Input: {key1: val1, key2: val2} * Output: {key1: key1, key2: key2} * * @param {object} obj * @return {object} */ var keyMirror = function(obj) { var ret = {}; var key; if (!(obj instanceof Object && !Array.isArray(obj))) { throw new Error('keyMirror(...): Argument must be an object.'); } for (key in obj) { if (!obj.hasOwnProperty(key)) { continue; } ret[key] = key; } return ret; }; module.exports = keyMirror; /***/ }), /***/ "./node_modules/linebreak/node_modules/base64-js/lib/b64.js": /*!******************************************************************!*\ !*** ./node_modules/linebreak/node_modules/base64-js/lib/b64.js ***! \******************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var lookup = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'; ;(function (exports) { 'use strict'; var Arr = (typeof Uint8Array !== 'undefined') ? Uint8Array : Array var PLUS = '+'.charCodeAt(0) var SLASH = '/'.charCodeAt(0) var NUMBER = '0'.charCodeAt(0) var LOWER = 'a'.charCodeAt(0) var UPPER = 'A'.charCodeAt(0) var PLUS_URL_SAFE = '-'.charCodeAt(0) var SLASH_URL_SAFE = '_'.charCodeAt(0) function decode (elt) { var code = elt.charCodeAt(0) if (code === PLUS || code === PLUS_URL_SAFE) return 62 // '+' if (code === SLASH || code === SLASH_URL_SAFE) return 63 // '/' if (code < NUMBER) return -1 //no match if (code < NUMBER + 10) return code - NUMBER + 26 + 26 if (code < UPPER + 26) return code - UPPER if (code < LOWER + 26) return code - LOWER + 26 } function b64ToByteArray (b64) { var i, j, l, tmp, placeHolders, arr if (b64.length % 4 > 0) { throw new Error('Invalid string. Length must be a multiple of 4') } // the number of equal signs (place holders) // if there are two placeholders, than the two characters before it // represent one byte // if there is only one, then the three characters before it represent 2 bytes // this is just a cheap hack to not do indexOf twice var len = b64.length placeHolders = '=' === b64.charAt(len - 2) ? 2 : '=' === b64.charAt(len - 1) ? 1 : 0 // base64 is 4/3 + up to two characters of the original data arr = new Arr(b64.length * 3 / 4 - placeHolders) // if there are placeholders, only get up to the last complete 4 chars l = placeHolders > 0 ? b64.length - 4 : b64.length var L = 0 function push (v) { arr[L++] = v } for (i = 0, j = 0; i < l; i += 4, j += 3) { tmp = (decode(b64.charAt(i)) << 18) | (decode(b64.charAt(i + 1)) << 12) | (decode(b64.charAt(i + 2)) << 6) | decode(b64.charAt(i + 3)) push((tmp & 0xFF0000) >> 16) push((tmp & 0xFF00) >> 8) push(tmp & 0xFF) } if (placeHolders === 2) { tmp = (decode(b64.charAt(i)) << 2) | (decode(b64.charAt(i + 1)) >> 4) push(tmp & 0xFF) } else if (placeHolders === 1) { tmp = (decode(b64.charAt(i)) << 10) | (decode(b64.charAt(i + 1)) << 4) | (decode(b64.charAt(i + 2)) >> 2) push((tmp >> 8) & 0xFF) push(tmp & 0xFF) } return arr } function uint8ToBase64 (uint8) { var i, extraBytes = uint8.length % 3, // if we have 1 byte left, pad 2 bytes output = "", temp, length function encode (num) { return lookup.charAt(num) } function tripletToBase64 (num) { return encode(num >> 18 & 0x3F) + encode(num >> 12 & 0x3F) + encode(num >> 6 & 0x3F) + encode(num & 0x3F) } // go through the array every three bytes, we'll deal with trailing stuff later for (i = 0, length = uint8.length - extraBytes; i < length; i += 3) { temp = (uint8[i] << 16) + (uint8[i + 1] << 8) + (uint8[i + 2]) output += tripletToBase64(temp) } // pad the end with zeros, but make sure to not forget the extra bytes switch (extraBytes) { case 1: temp = uint8[uint8.length - 1] output += encode(temp >> 2) output += encode((temp << 4) & 0x3F) output += '==' break case 2: temp = (uint8[uint8.length - 2] << 8) + (uint8[uint8.length - 1]) output += encode(temp >> 10) output += encode((temp >> 4) & 0x3F) output += encode((temp << 2) & 0x3F) output += '=' break } return output } exports.toByteArray = b64ToByteArray exports.fromByteArray = uint8ToBase64 }( false ? (undefined) : exports)) /***/ }), /***/ "./node_modules/linebreak/src/classes.js": /*!***********************************************!*\ !*** ./node_modules/linebreak/src/classes.js ***! \***********************************************/ /*! no static exports found */ /***/ (function(module, exports) { // Generated by CoffeeScript 1.7.1 (function() { var AI, AL, B2, BA, BB, BK, CB, CJ, CL, CM, CP, CR, EX, GL, H2, H3, HL, HY, ID, IN, IS, JL, JT, JV, LF, NL, NS, NU, OP, PO, PR, QU, RI, SA, SG, SP, SY, WJ, XX, ZW; exports.OP = OP = 0; exports.CL = CL = 1; exports.CP = CP = 2; exports.QU = QU = 3; exports.GL = GL = 4; exports.NS = NS = 5; exports.EX = EX = 6; exports.SY = SY = 7; exports.IS = IS = 8; exports.PR = PR = 9; exports.PO = PO = 10; exports.NU = NU = 11; exports.AL = AL = 12; exports.HL = HL = 13; exports.ID = ID = 14; exports.IN = IN = 15; exports.HY = HY = 16; exports.BA = BA = 17; exports.BB = BB = 18; exports.B2 = B2 = 19; exports.ZW = ZW = 20; exports.CM = CM = 21; exports.WJ = WJ = 22; exports.H2 = H2 = 23; exports.H3 = H3 = 24; exports.JL = JL = 25; exports.JV = JV = 26; exports.JT = JT = 27; exports.RI = RI = 28; exports.AI = AI = 29; exports.BK = BK = 30; exports.CB = CB = 31; exports.CJ = CJ = 32; exports.CR = CR = 33; exports.LF = LF = 34; exports.NL = NL = 35; exports.SA = SA = 36; exports.SG = SG = 37; exports.SP = SP = 38; exports.XX = XX = 39; }).call(this); /***/ }), /***/ "./node_modules/linebreak/src/pairs.js": /*!*********************************************!*\ !*** ./node_modules/linebreak/src/pairs.js ***! \*********************************************/ /*! no static exports found */ /***/ (function(module, exports) { // Generated by CoffeeScript 1.7.1 (function() { var CI_BRK, CP_BRK, DI_BRK, IN_BRK, PR_BRK; exports.DI_BRK = DI_BRK = 0; exports.IN_BRK = IN_BRK = 1; exports.CI_BRK = CI_BRK = 2; exports.CP_BRK = CP_BRK = 3; exports.PR_BRK = PR_BRK = 4; exports.pairTable = [[PR_BRK, PR_BRK, PR_BRK, PR_BRK, PR_BRK, PR_BRK, PR_BRK, PR_BRK, 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A value is object-like if it's not `null` * and has a `typeof` result of "object". * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is object-like, else `false`. * @example * * _.isObjectLike({}); * // => true * * _.isObjectLike([1, 2, 3]); * // => true * * _.isObjectLike(_.noop); * // => false * * _.isObjectLike(null); * // => false */ function isObjectLike(value) { return value != null && typeof value == 'object'; } /* harmony default export */ __webpack_exports__["default"] = (isObjectLike); /***/ }), /***/ "./node_modules/lodash-es/isPlainObject.js": /*!*************************************************!*\ !*** ./node_modules/lodash-es/isPlainObject.js ***! \*************************************************/ /*! exports provided: default */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony import */ var _baseGetTag_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ./_baseGetTag.js */ "./node_modules/lodash-es/_baseGetTag.js"); /* harmony import */ var _getPrototype_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ./_getPrototype.js */ "./node_modules/lodash-es/_getPrototype.js"); /* harmony import */ var _isObjectLike_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! ./isObjectLike.js */ "./node_modules/lodash-es/isObjectLike.js"); /** `Object#toString` result references. */ var objectTag = '[object Object]'; /** Used for built-in method references. */ var funcProto = Function.prototype, objectProto = Object.prototype; /** Used to resolve the decompiled source of functions. */ var funcToString = funcProto.toString; /** Used to check objects for own properties. */ var hasOwnProperty = objectProto.hasOwnProperty; /** Used to infer the `Object` constructor. */ var objectCtorString = funcToString.call(Object); /** * Checks if `value` is a plain object, that is, an object created by the * `Object` constructor or one with a `[[Prototype]]` of `null`. * * @static * @memberOf _ * @since 0.8.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a plain object, else `false`. * @example * * function Foo() { * this.a = 1; * } * * _.isPlainObject(new Foo); * // => false * * _.isPlainObject([1, 2, 3]); * // => false * * _.isPlainObject({ 'x': 0, 'y': 0 }); * // => true * * _.isPlainObject(Object.create(null)); * // => true */ function isPlainObject(value) { if (!Object(_isObjectLike_js__WEBPACK_IMPORTED_MODULE_2__["default"])(value) || Object(_baseGetTag_js__WEBPACK_IMPORTED_MODULE_0__["default"])(value) != objectTag) { return false; } var proto = Object(_getPrototype_js__WEBPACK_IMPORTED_MODULE_1__["default"])(value); if (proto === null) { return true; } var Ctor = hasOwnProperty.call(proto, 'constructor') && proto.constructor; return typeof Ctor == 'function' && Ctor instanceof Ctor && funcToString.call(Ctor) == objectCtorString; } /* harmony default export */ __webpack_exports__["default"] = (isPlainObject); /***/ }), /***/ "./node_modules/lodash._getnative/index.js": /*!*************************************************!*\ !*** ./node_modules/lodash._getnative/index.js ***! \*************************************************/ /*! no static exports found */ /***/ (function(module, exports) { /** * lodash 3.9.1 (Custom Build) * Build: `lodash modern modularize exports="npm" -o ./` * Copyright 2012-2015 The Dojo Foundation * Based on Underscore.js 1.8.3 * Copyright 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors * Available under MIT license */ /** `Object#toString` result references. */ var funcTag = '[object Function]'; /** Used to detect host constructors (Safari > 5). */ var reIsHostCtor = /^\[object .+?Constructor\]$/; /** * Checks if `value` is object-like. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is object-like, else `false`. */ function isObjectLike(value) { return !!value && typeof value == 'object'; } /** Used for native method references. */ var objectProto = Object.prototype; /** Used to resolve the decompiled source of functions. */ var fnToString = Function.prototype.toString; /** Used to check objects for own properties. */ var hasOwnProperty = objectProto.hasOwnProperty; /** * Used to resolve the [`toStringTag`](http://ecma-international.org/ecma-262/6.0/#sec-object.prototype.tostring) * of values. */ var objToString = objectProto.toString; /** Used to detect if a method is native. */ var reIsNative = RegExp('^' + fnToString.call(hasOwnProperty).replace(/[\\^$.*+?()[\]{}|]/g, '\\$&') .replace(/hasOwnProperty|(function).*?(?=\\\()| for .+?(?=\\\])/g, '$1.*?') + '$' ); /** * Gets the native function at `key` of `object`. * * @private * @param {Object} object The object to query. * @param {string} key The key of the method to get. * @returns {*} Returns the function if it's native, else `undefined`. */ function getNative(object, key) { var value = object == null ? undefined : object[key]; return isNative(value) ? value : undefined; } /** * Checks if `value` is classified as a `Function` object. * * @static * @memberOf _ * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is correctly classified, else `false`. * @example * * _.isFunction(_); * // => true * * _.isFunction(/abc/); * // => false */ function isFunction(value) { // The use of `Object#toString` avoids issues with the `typeof` operator // in older versions of Chrome and Safari which return 'function' for regexes // and Safari 8 equivalents which return 'object' for typed array constructors. return isObject(value) && objToString.call(value) == funcTag; } /** * Checks if `value` is the [language type](https://es5.github.io/#x8) of `Object`. * (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`) * * @static * @memberOf _ * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an object, else `false`. * @example * * _.isObject({}); * // => true * * _.isObject([1, 2, 3]); * // => true * * _.isObject(1); * // => false */ function isObject(value) { // Avoid a V8 JIT bug in Chrome 19-20. // See https://code.google.com/p/v8/issues/detail?id=2291 for more details. var type = typeof value; return !!value && (type == 'object' || type == 'function'); } /** * Checks if `value` is a native function. * * @static * @memberOf _ * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a native function, else `false`. * @example * * _.isNative(Array.prototype.push); * // => true * * _.isNative(_); * // => false */ function isNative(value) { if (value == null) { return false; } if (isFunction(value)) { return reIsNative.test(fnToString.call(value)); } return isObjectLike(value) && reIsHostCtor.test(value); } module.exports = getNative; /***/ }), /***/ "./node_modules/lodash.bindall/index.js": /*!**********************************************!*\ !*** ./node_modules/lodash.bindall/index.js ***! \**********************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { /* WEBPACK VAR INJECTION */(function(global) {/** * lodash (Custom Build) * Build: `lodash modularize exports="npm" -o ./` * Copyright jQuery Foundation and other contributors * Released under MIT license * Based on Underscore.js 1.8.3 * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors */ /** Used as the `TypeError` message for "Functions" methods. */ var FUNC_ERROR_TEXT = 'Expected a function'; /** Used as the internal argument placeholder. */ var PLACEHOLDER = '__lodash_placeholder__'; /** Used to compose bitmasks for function metadata. */ var BIND_FLAG = 1, BIND_KEY_FLAG = 2, CURRY_BOUND_FLAG = 4, CURRY_FLAG = 8, CURRY_RIGHT_FLAG = 16, PARTIAL_FLAG = 32, PARTIAL_RIGHT_FLAG = 64, ARY_FLAG = 128, REARG_FLAG = 256, FLIP_FLAG = 512; /** Used as references for various `Number` constants. */ var INFINITY = 1 / 0, MAX_SAFE_INTEGER = 9007199254740991, MAX_INTEGER = 1.7976931348623157e+308, NAN = 0 / 0; /** Used to associate wrap methods with their bit flags. */ var wrapFlags = [ ['ary', ARY_FLAG], ['bind', BIND_FLAG], ['bindKey', BIND_KEY_FLAG], ['curry', CURRY_FLAG], ['curryRight', CURRY_RIGHT_FLAG], ['flip', FLIP_FLAG], ['partial', PARTIAL_FLAG], ['partialRight', PARTIAL_RIGHT_FLAG], ['rearg', REARG_FLAG] ]; /** `Object#toString` result references. */ var argsTag = '[object Arguments]', funcTag = '[object Function]', genTag = '[object GeneratorFunction]', symbolTag = '[object Symbol]'; /** * Used to match `RegExp` * [syntax characters](http://ecma-international.org/ecma-262/7.0/#sec-patterns). */ var reRegExpChar = /[\\^$.*+?()[\]{}|]/g; /** Used to match leading and trailing whitespace. */ var reTrim = /^\s+|\s+$/g; /** Used to match wrap detail comments. */ var reWrapComment = /\{(?:\n\/\* \[wrapped with .+\] \*\/)?\n?/, reWrapDetails = /\{\n\/\* \[wrapped with (.+)\] \*/, reSplitDetails = /,? & /; /** Used to detect bad signed hexadecimal string values. */ var reIsBadHex = /^[-+]0x[0-9a-f]+$/i; /** Used to detect binary string values. */ var reIsBinary = /^0b[01]+$/i; /** Used to detect host constructors (Safari). */ var reIsHostCtor = /^\[object .+?Constructor\]$/; /** Used to detect octal string values. */ var reIsOctal = /^0o[0-7]+$/i; /** Used to detect unsigned integer values. */ var reIsUint = /^(?:0|[1-9]\d*)$/; /** Built-in method references without a dependency on `root`. */ var freeParseInt = parseInt; /** Detect free variable `global` from Node.js. */ var freeGlobal = typeof global == 'object' && global && global.Object === Object && global; /** Detect free variable `self`. */ var freeSelf = typeof self == 'object' && self && self.Object === Object && self; /** Used as a reference to the global object. */ var root = freeGlobal || freeSelf || Function('return this')(); /** * A faster alternative to `Function#apply`, this function invokes `func` * with the `this` binding of `thisArg` and the arguments of `args`. * * @private * @param {Function} func The function to invoke. * @param {*} thisArg The `this` binding of `func`. * @param {Array} args The arguments to invoke `func` with. * @returns {*} Returns the result of `func`. */ function apply(func, thisArg, args) { switch (args.length) { case 0: return func.call(thisArg); case 1: return func.call(thisArg, args[0]); case 2: return func.call(thisArg, args[0], args[1]); case 3: return func.call(thisArg, args[0], args[1], args[2]); } return func.apply(thisArg, args); } /** * A specialized version of `_.forEach` for arrays without support for * iteratee shorthands. * * @private * @param {Array} [array] The array to iterate over. * @param {Function} iteratee The function invoked per iteration. * @returns {Array} Returns `array`. */ function arrayEach(array, iteratee) { var index = -1, length = array ? array.length : 0; while (++index < length) { if (iteratee(array[index], index, array) === false) { break; } } return array; } /** * A specialized version of `_.includes` for arrays without support for * specifying an index to search from. * * @private * @param {Array} [array] The array to inspect. * @param {*} target The value to search for. * @returns {boolean} Returns `true` if `target` is found, else `false`. */ function arrayIncludes(array, value) { var length = array ? array.length : 0; return !!length && baseIndexOf(array, value, 0) > -1; } /** * Appends the elements of `values` to `array`. * * @private * @param {Array} array The array to modify. * @param {Array} values The values to append. * @returns {Array} Returns `array`. */ function arrayPush(array, values) { var index = -1, length = values.length, offset = array.length; while (++index < length) { array[offset + index] = values[index]; } return array; } /** * The base implementation of `_.findIndex` and `_.findLastIndex` without * support for iteratee shorthands. * * @private * @param {Array} array The array to inspect. * @param {Function} predicate The function invoked per iteration. * @param {number} fromIndex The index to search from. * @param {boolean} [fromRight] Specify iterating from right to left. * @returns {number} Returns the index of the matched value, else `-1`. */ function baseFindIndex(array, predicate, fromIndex, fromRight) { var length = array.length, index = fromIndex + (fromRight ? 1 : -1); while ((fromRight ? index-- : ++index < length)) { if (predicate(array[index], index, array)) { return index; } } return -1; } /** * The base implementation of `_.indexOf` without `fromIndex` bounds checks. * * @private * @param {Array} array The array to inspect. * @param {*} value The value to search for. * @param {number} fromIndex The index to search from. * @returns {number} Returns the index of the matched value, else `-1`. */ function baseIndexOf(array, value, fromIndex) { if (value !== value) { return baseFindIndex(array, baseIsNaN, fromIndex); } var index = fromIndex - 1, length = array.length; while (++index < length) { if (array[index] === value) { return index; } } return -1; } /** * The base implementation of `_.isNaN` without support for number objects. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is `NaN`, else `false`. */ function baseIsNaN(value) { return value !== value; } /** * Gets the number of `placeholder` occurrences in `array`. * * @private * @param {Array} array The array to inspect. * @param {*} placeholder The placeholder to search for. * @returns {number} Returns the placeholder count. */ function countHolders(array, placeholder) { var length = array.length, result = 0; while (length--) { if (array[length] === placeholder) { result++; } } return result; } /** * Gets the value at `key` of `object`. * * @private * @param {Object} [object] The object to query. * @param {string} key The key of the property to get. * @returns {*} Returns the property value. */ function getValue(object, key) { return object == null ? undefined : object[key]; } /** * Checks if `value` is a host object in IE < 9. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a host object, else `false`. */ function isHostObject(value) { // Many host objects are `Object` objects that can coerce to strings // despite having improperly defined `toString` methods. var result = false; if (value != null && typeof value.toString != 'function') { try { result = !!(value + ''); } catch (e) {} } return result; } /** * Replaces all `placeholder` elements in `array` with an internal placeholder * and returns an array of their indexes. * * @private * @param {Array} array The array to modify. * @param {*} placeholder The placeholder to replace. * @returns {Array} Returns the new array of placeholder indexes. */ function replaceHolders(array, placeholder) { var index = -1, length = array.length, resIndex = 0, result = []; while (++index < length) { var value = array[index]; if (value === placeholder || value === PLACEHOLDER) { array[index] = PLACEHOLDER; result[resIndex++] = index; } } return result; } /** Used for built-in method references. */ var funcProto = Function.prototype, objectProto = Object.prototype; /** Used to detect overreaching core-js shims. */ var coreJsData = root['__core-js_shared__']; /** Used to detect methods masquerading as native. */ var maskSrcKey = (function() { var uid = /[^.]+$/.exec(coreJsData && coreJsData.keys && coreJsData.keys.IE_PROTO || ''); return uid ? ('Symbol(src)_1.' + uid) : ''; }()); /** Used to resolve the decompiled source of functions. */ var funcToString = funcProto.toString; /** Used to check objects for own properties. */ var hasOwnProperty = objectProto.hasOwnProperty; /** * Used to resolve the * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring) * of values. */ var objectToString = objectProto.toString; /** Used to detect if a method is native. */ var reIsNative = RegExp('^' + funcToString.call(hasOwnProperty).replace(reRegExpChar, '\\$&') .replace(/hasOwnProperty|(function).*?(?=\\\()| for .+?(?=\\\])/g, '$1.*?') + '$' ); /** Built-in value references. */ var Symbol = root.Symbol, objectCreate = Object.create, propertyIsEnumerable = objectProto.propertyIsEnumerable, spreadableSymbol = Symbol ? Symbol.isConcatSpreadable : undefined; /* Built-in method references for those with the same name as other `lodash` methods. */ var nativeMax = Math.max, nativeMin = Math.min; /* Used to set `toString` methods. */ var defineProperty = (function() { var func = getNative(Object, 'defineProperty'), name = getNative.name; return (name && name.length > 2) ? func : undefined; }()); /** * The base implementation of `_.create` without support for assigning * properties to the created object. * * @private * @param {Object} prototype The object to inherit from. * @returns {Object} Returns the new object. */ function baseCreate(proto) { return isObject(proto) ? objectCreate(proto) : {}; } /** * The base implementation of `_.flatten` with support for restricting flattening. * * @private * @param {Array} array The array to flatten. * @param {number} depth The maximum recursion depth. * @param {boolean} [predicate=isFlattenable] The function invoked per iteration. * @param {boolean} [isStrict] Restrict to values that pass `predicate` checks. * @param {Array} [result=[]] The initial result value. * @returns {Array} Returns the new flattened array. */ function baseFlatten(array, depth, predicate, isStrict, result) { var index = -1, length = array.length; predicate || (predicate = isFlattenable); result || (result = []); while (++index < length) { var value = array[index]; if (depth > 0 && predicate(value)) { if (depth > 1) { // Recursively flatten arrays (susceptible to call stack limits). baseFlatten(value, depth - 1, predicate, isStrict, result); } else { arrayPush(result, value); } } else if (!isStrict) { result[result.length] = value; } } return result; } /** * The base implementation of `_.isNative` without bad shim checks. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a native function, * else `false`. */ function baseIsNative(value) { if (!isObject(value) || isMasked(value)) { return false; } var pattern = (isFunction(value) || isHostObject(value)) ? reIsNative : reIsHostCtor; return pattern.test(toSource(value)); } /** * The base implementation of `_.rest` which doesn't validate or coerce arguments. * * @private * @param {Function} func The function to apply a rest parameter to. * @param {number} [start=func.length-1] The start position of the rest parameter. * @returns {Function} Returns the new function. */ function baseRest(func, start) { start = nativeMax(start === undefined ? (func.length - 1) : start, 0); return function() { var args = arguments, index = -1, length = nativeMax(args.length - start, 0), array = Array(length); while (++index < length) { array[index] = args[start + index]; } index = -1; var otherArgs = Array(start + 1); while (++index < start) { otherArgs[index] = args[index]; } otherArgs[start] = array; return apply(func, this, otherArgs); }; } /** * Creates an array that is the composition of partially applied arguments, * placeholders, and provided arguments into a single array of arguments. * * @private * @param {Array} args The provided arguments. * @param {Array} partials The arguments to prepend to those provided. * @param {Array} holders The `partials` placeholder indexes. * @params {boolean} [isCurried] Specify composing for a curried function. * @returns {Array} Returns the new array of composed arguments. */ function composeArgs(args, partials, holders, isCurried) { var argsIndex = -1, argsLength = args.length, holdersLength = holders.length, leftIndex = -1, leftLength = partials.length, rangeLength = nativeMax(argsLength - holdersLength, 0), result = Array(leftLength + rangeLength), isUncurried = !isCurried; while (++leftIndex < leftLength) { result[leftIndex] = partials[leftIndex]; } while (++argsIndex < holdersLength) { if (isUncurried || argsIndex < argsLength) { result[holders[argsIndex]] = args[argsIndex]; } } while (rangeLength--) { result[leftIndex++] = args[argsIndex++]; } return result; } /** * This function is like `composeArgs` except that the arguments composition * is tailored for `_.partialRight`. * * @private * @param {Array} args The provided arguments. * @param {Array} partials The arguments to append to those provided. * @param {Array} holders The `partials` placeholder indexes. * @params {boolean} [isCurried] Specify composing for a curried function. * @returns {Array} Returns the new array of composed arguments. */ function composeArgsRight(args, partials, holders, isCurried) { var argsIndex = -1, argsLength = args.length, holdersIndex = -1, holdersLength = holders.length, rightIndex = -1, rightLength = partials.length, rangeLength = nativeMax(argsLength - holdersLength, 0), result = Array(rangeLength + rightLength), isUncurried = !isCurried; while (++argsIndex < rangeLength) { result[argsIndex] = args[argsIndex]; } var offset = argsIndex; while (++rightIndex < rightLength) { result[offset + rightIndex] = partials[rightIndex]; } while (++holdersIndex < holdersLength) { if (isUncurried || argsIndex < argsLength) { result[offset + holders[holdersIndex]] = args[argsIndex++]; } } return result; } /** * Copies the values of `source` to `array`. * * @private * @param {Array} source The array to copy values from. * @param {Array} [array=[]] The array to copy values to. * @returns {Array} Returns `array`. */ function copyArray(source, array) { var index = -1, length = source.length; array || (array = Array(length)); while (++index < length) { array[index] = source[index]; } return array; } /** * Creates a function that wraps `func` to invoke it with the optional `this` * binding of `thisArg`. * * @private * @param {Function} func The function to wrap. * @param {number} bitmask The bitmask flags. See `createWrap` for more details. * @param {*} [thisArg] The `this` binding of `func`. * @returns {Function} Returns the new wrapped function. */ function createBind(func, bitmask, thisArg) { var isBind = bitmask & BIND_FLAG, Ctor = createCtor(func); function wrapper() { var fn = (this && this !== root && this instanceof wrapper) ? Ctor : func; return fn.apply(isBind ? thisArg : this, arguments); } return wrapper; } /** * Creates a function that produces an instance of `Ctor` regardless of * whether it was invoked as part of a `new` expression or by `call` or `apply`. * * @private * @param {Function} Ctor The constructor to wrap. * @returns {Function} Returns the new wrapped function. */ function createCtor(Ctor) { return function() { // Use a `switch` statement to work with class constructors. See // http://ecma-international.org/ecma-262/7.0/#sec-ecmascript-function-objects-call-thisargument-argumentslist // for more details. var args = arguments; switch (args.length) { case 0: return new Ctor; case 1: return new Ctor(args[0]); case 2: return new Ctor(args[0], args[1]); case 3: return new Ctor(args[0], args[1], args[2]); case 4: return new Ctor(args[0], args[1], args[2], args[3]); case 5: return new Ctor(args[0], args[1], args[2], args[3], args[4]); case 6: return new Ctor(args[0], args[1], args[2], args[3], args[4], args[5]); case 7: return new Ctor(args[0], args[1], args[2], args[3], args[4], args[5], args[6]); } var thisBinding = baseCreate(Ctor.prototype), result = Ctor.apply(thisBinding, args); // Mimic the constructor's `return` behavior. // See https://es5.github.io/#x13.2.2 for more details. return isObject(result) ? result : thisBinding; }; } /** * Creates a function that wraps `func` to enable currying. * * @private * @param {Function} func The function to wrap. * @param {number} bitmask The bitmask flags. See `createWrap` for more details. * @param {number} arity The arity of `func`. * @returns {Function} Returns the new wrapped function. */ function createCurry(func, bitmask, arity) { var Ctor = createCtor(func); function wrapper() { var length = arguments.length, args = Array(length), index = length, placeholder = getHolder(wrapper); while (index--) { args[index] = arguments[index]; } var holders = (length < 3 && args[0] !== placeholder && args[length - 1] !== placeholder) ? [] : replaceHolders(args, placeholder); length -= holders.length; if (length < arity) { return createRecurry( func, bitmask, createHybrid, wrapper.placeholder, undefined, args, holders, undefined, undefined, arity - length); } var fn = (this && this !== root && this instanceof wrapper) ? Ctor : func; return apply(fn, this, args); } return wrapper; } /** * Creates a function that wraps `func` to invoke it with optional `this` * binding of `thisArg`, partial application, and currying. * * @private * @param {Function|string} func The function or method name to wrap. * @param {number} bitmask The bitmask flags. See `createWrap` for more details. * @param {*} [thisArg] The `this` binding of `func`. * @param {Array} [partials] The arguments to prepend to those provided to * the new function. * @param {Array} [holders] The `partials` placeholder indexes. * @param {Array} [partialsRight] The arguments to append to those provided * to the new function. * @param {Array} [holdersRight] The `partialsRight` placeholder indexes. * @param {Array} [argPos] The argument positions of the new function. * @param {number} [ary] The arity cap of `func`. * @param {number} [arity] The arity of `func`. * @returns {Function} Returns the new wrapped function. */ function createHybrid(func, bitmask, thisArg, partials, holders, partialsRight, holdersRight, argPos, ary, arity) { var isAry = bitmask & ARY_FLAG, isBind = bitmask & BIND_FLAG, isBindKey = bitmask & BIND_KEY_FLAG, isCurried = bitmask & (CURRY_FLAG | CURRY_RIGHT_FLAG), isFlip = bitmask & FLIP_FLAG, Ctor = isBindKey ? undefined : createCtor(func); function wrapper() { var length = arguments.length, args = Array(length), index = length; while (index--) { args[index] = arguments[index]; } if (isCurried) { var placeholder = getHolder(wrapper), holdersCount = countHolders(args, placeholder); } if (partials) { args = composeArgs(args, partials, holders, isCurried); } if (partialsRight) { args = composeArgsRight(args, partialsRight, holdersRight, isCurried); } length -= holdersCount; if (isCurried && length < arity) { var newHolders = replaceHolders(args, placeholder); return createRecurry( func, bitmask, createHybrid, wrapper.placeholder, thisArg, args, newHolders, argPos, ary, arity - length ); } var thisBinding = isBind ? thisArg : this, fn = isBindKey ? thisBinding[func] : func; length = args.length; if (argPos) { args = reorder(args, argPos); } else if (isFlip && length > 1) { args.reverse(); } if (isAry && ary < length) { args.length = ary; } if (this && this !== root && this instanceof wrapper) { fn = Ctor || createCtor(fn); } return fn.apply(thisBinding, args); } return wrapper; } /** * Creates a function that wraps `func` to invoke it with the `this` binding * of `thisArg` and `partials` prepended to the arguments it receives. * * @private * @param {Function} func The function to wrap. * @param {number} bitmask The bitmask flags. See `createWrap` for more details. * @param {*} thisArg The `this` binding of `func`. * @param {Array} partials The arguments to prepend to those provided to * the new function. * @returns {Function} Returns the new wrapped function. */ function createPartial(func, bitmask, thisArg, partials) { var isBind = bitmask & BIND_FLAG, Ctor = createCtor(func); function wrapper() { var argsIndex = -1, argsLength = arguments.length, leftIndex = -1, leftLength = partials.length, args = Array(leftLength + argsLength), fn = (this && this !== root && this instanceof wrapper) ? Ctor : func; while (++leftIndex < leftLength) { args[leftIndex] = partials[leftIndex]; } while (argsLength--) { args[leftIndex++] = arguments[++argsIndex]; } return apply(fn, isBind ? thisArg : this, args); } return wrapper; } /** * Creates a function that wraps `func` to continue currying. * * @private * @param {Function} func The function to wrap. * @param {number} bitmask The bitmask flags. See `createWrap` for more details. * @param {Function} wrapFunc The function to create the `func` wrapper. * @param {*} placeholder The placeholder value. * @param {*} [thisArg] The `this` binding of `func`. * @param {Array} [partials] The arguments to prepend to those provided to * the new function. * @param {Array} [holders] The `partials` placeholder indexes. * @param {Array} [argPos] The argument positions of the new function. * @param {number} [ary] The arity cap of `func`. * @param {number} [arity] The arity of `func`. * @returns {Function} Returns the new wrapped function. */ function createRecurry(func, bitmask, wrapFunc, placeholder, thisArg, partials, holders, argPos, ary, arity) { var isCurry = bitmask & CURRY_FLAG, newHolders = isCurry ? holders : undefined, newHoldersRight = isCurry ? undefined : holders, newPartials = isCurry ? partials : undefined, newPartialsRight = isCurry ? undefined : partials; bitmask |= (isCurry ? PARTIAL_FLAG : PARTIAL_RIGHT_FLAG); bitmask &= ~(isCurry ? PARTIAL_RIGHT_FLAG : PARTIAL_FLAG); if (!(bitmask & CURRY_BOUND_FLAG)) { bitmask &= ~(BIND_FLAG | BIND_KEY_FLAG); } var result = wrapFunc(func, bitmask, thisArg, newPartials, newHolders, newPartialsRight, newHoldersRight, argPos, ary, arity); result.placeholder = placeholder; return setWrapToString(result, func, bitmask); } /** * Creates a function that either curries or invokes `func` with optional * `this` binding and partially applied arguments. * * @private * @param {Function|string} func The function or method name to wrap. * @param {number} bitmask The bitmask flags. * The bitmask may be composed of the following flags: * 1 - `_.bind` * 2 - `_.bindKey` * 4 - `_.curry` or `_.curryRight` of a bound function * 8 - `_.curry` * 16 - `_.curryRight` * 32 - `_.partial` * 64 - `_.partialRight` * 128 - `_.rearg` * 256 - `_.ary` * 512 - `_.flip` * @param {*} [thisArg] The `this` binding of `func`. * @param {Array} [partials] The arguments to be partially applied. * @param {Array} [holders] The `partials` placeholder indexes. * @param {Array} [argPos] The argument positions of the new function. * @param {number} [ary] The arity cap of `func`. * @param {number} [arity] The arity of `func`. * @returns {Function} Returns the new wrapped function. */ function createWrap(func, bitmask, thisArg, partials, holders, argPos, ary, arity) { var isBindKey = bitmask & BIND_KEY_FLAG; if (!isBindKey && typeof func != 'function') { throw new TypeError(FUNC_ERROR_TEXT); } var length = partials ? partials.length : 0; if (!length) { bitmask &= ~(PARTIAL_FLAG | PARTIAL_RIGHT_FLAG); partials = holders = undefined; } ary = ary === undefined ? ary : nativeMax(toInteger(ary), 0); arity = arity === undefined ? arity : toInteger(arity); length -= holders ? holders.length : 0; if (bitmask & PARTIAL_RIGHT_FLAG) { var partialsRight = partials, holdersRight = holders; partials = holders = undefined; } var newData = [ func, bitmask, thisArg, partials, holders, partialsRight, holdersRight, argPos, ary, arity ]; func = newData[0]; bitmask = newData[1]; thisArg = newData[2]; partials = newData[3]; holders = newData[4]; arity = newData[9] = newData[9] == null ? (isBindKey ? 0 : func.length) : nativeMax(newData[9] - length, 0); if (!arity && bitmask & (CURRY_FLAG | CURRY_RIGHT_FLAG)) { bitmask &= ~(CURRY_FLAG | CURRY_RIGHT_FLAG); } if (!bitmask || bitmask == BIND_FLAG) { var result = createBind(func, bitmask, thisArg); } else if (bitmask == CURRY_FLAG || bitmask == CURRY_RIGHT_FLAG) { result = createCurry(func, bitmask, arity); } else if ((bitmask == PARTIAL_FLAG || bitmask == (BIND_FLAG | PARTIAL_FLAG)) && !holders.length) { result = createPartial(func, bitmask, thisArg, partials); } else { result = createHybrid.apply(undefined, newData); } return setWrapToString(result, func, bitmask); } /** * Gets the argument placeholder value for `func`. * * @private * @param {Function} func The function to inspect. * @returns {*} Returns the placeholder value. */ function getHolder(func) { var object = func; return object.placeholder; } /** * Gets the native function at `key` of `object`. * * @private * @param {Object} object The object to query. * @param {string} key The key of the method to get. * @returns {*} Returns the function if it's native, else `undefined`. */ function getNative(object, key) { var value = getValue(object, key); return baseIsNative(value) ? value : undefined; } /** * Extracts wrapper details from the `source` body comment. * * @private * @param {string} source The source to inspect. * @returns {Array} Returns the wrapper details. */ function getWrapDetails(source) { var match = source.match(reWrapDetails); return match ? match[1].split(reSplitDetails) : []; } /** * Inserts wrapper `details` in a comment at the top of the `source` body. * * @private * @param {string} source The source to modify. * @returns {Array} details The details to insert. * @returns {string} Returns the modified source. */ function insertWrapDetails(source, details) { var length = details.length, lastIndex = length - 1; details[lastIndex] = (length > 1 ? '& ' : '') + details[lastIndex]; details = details.join(length > 2 ? ', ' : ' '); return source.replace(reWrapComment, '{\n/* [wrapped with ' + details + '] */\n'); } /** * Checks if `value` is a flattenable `arguments` object or array. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is flattenable, else `false`. */ function isFlattenable(value) { return isArray(value) || isArguments(value) || !!(spreadableSymbol && value && value[spreadableSymbol]); } /** * Checks if `value` is a valid array-like index. * * @private * @param {*} value The value to check. * @param {number} [length=MAX_SAFE_INTEGER] The upper bounds of a valid index. * @returns {boolean} Returns `true` if `value` is a valid index, else `false`. */ function isIndex(value, length) { length = length == null ? MAX_SAFE_INTEGER : length; return !!length && (typeof value == 'number' || reIsUint.test(value)) && (value > -1 && value % 1 == 0 && value < length); } /** * Checks if `func` has its source masked. * * @private * @param {Function} func The function to check. * @returns {boolean} Returns `true` if `func` is masked, else `false`. */ function isMasked(func) { return !!maskSrcKey && (maskSrcKey in func); } /** * Reorder `array` according to the specified indexes where the element at * the first index is assigned as the first element, the element at * the second index is assigned as the second element, and so on. * * @private * @param {Array} array The array to reorder. * @param {Array} indexes The arranged array indexes. * @returns {Array} Returns `array`. */ function reorder(array, indexes) { var arrLength = array.length, length = nativeMin(indexes.length, arrLength), oldArray = copyArray(array); while (length--) { var index = indexes[length]; array[length] = isIndex(index, arrLength) ? oldArray[index] : undefined; } return array; } /** * Sets the `toString` method of `wrapper` to mimic the source of `reference` * with wrapper details in a comment at the top of the source body. * * @private * @param {Function} wrapper The function to modify. * @param {Function} reference The reference function. * @param {number} bitmask The bitmask flags. See `createWrap` for more details. * @returns {Function} Returns `wrapper`. */ var setWrapToString = !defineProperty ? identity : function(wrapper, reference, bitmask) { var source = (reference + ''); return defineProperty(wrapper, 'toString', { 'configurable': true, 'enumerable': false, 'value': constant(insertWrapDetails(source, updateWrapDetails(getWrapDetails(source), bitmask))) }); }; /** * Converts `value` to a string key if it's not a string or symbol. * * @private * @param {*} value The value to inspect. * @returns {string|symbol} Returns the key. */ function toKey(value) { if (typeof value == 'string' || isSymbol(value)) { return value; } var result = (value + ''); return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result; } /** * Converts `func` to its source code. * * @private * @param {Function} func The function to process. * @returns {string} Returns the source code. */ function toSource(func) { if (func != null) { try { return funcToString.call(func); } catch (e) {} try { return (func + ''); } catch (e) {} } return ''; } /** * Updates wrapper `details` based on `bitmask` flags. * * @private * @returns {Array} details The details to modify. * @param {number} bitmask The bitmask flags. See `createWrap` for more details. * @returns {Array} Returns `details`. */ function updateWrapDetails(details, bitmask) { arrayEach(wrapFlags, function(pair) { var value = '_.' + pair[0]; if ((bitmask & pair[1]) && !arrayIncludes(details, value)) { details.push(value); } }); return details.sort(); } /** * Creates a function that invokes `func` with the `this` binding of `thisArg` * and `partials` prepended to the arguments it receives. * * The `_.bind.placeholder` value, which defaults to `_` in monolithic builds, * may be used as a placeholder for partially applied arguments. * * **Note:** Unlike native `Function#bind`, this method doesn't set the "length" * property of bound functions. * * @static * @memberOf _ * @since 0.1.0 * @category Function * @param {Function} func The function to bind. * @param {*} thisArg The `this` binding of `func`. * @param {...*} [partials] The arguments to be partially applied. * @returns {Function} Returns the new bound function. * @example * * function greet(greeting, punctuation) { * return greeting + ' ' + this.user + punctuation; * } * * var object = { 'user': 'fred' }; * * var bound = _.bind(greet, object, 'hi'); * bound('!'); * // => 'hi fred!' * * // Bound with placeholders. * var bound = _.bind(greet, object, _, '!'); * bound('hi'); * // => 'hi fred!' */ var bind = baseRest(function(func, thisArg, partials) { var bitmask = BIND_FLAG; if (partials.length) { var holders = replaceHolders(partials, getHolder(bind)); bitmask |= PARTIAL_FLAG; } return createWrap(func, bitmask, thisArg, partials, holders); }); /** * Checks if `value` is likely an `arguments` object. * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an `arguments` object, * else `false`. * @example * * _.isArguments(function() { return arguments; }()); * // => true * * _.isArguments([1, 2, 3]); * // => false */ function isArguments(value) { // Safari 8.1 makes `arguments.callee` enumerable in strict mode. return isArrayLikeObject(value) && hasOwnProperty.call(value, 'callee') && (!propertyIsEnumerable.call(value, 'callee') || objectToString.call(value) == argsTag); } /** * Checks if `value` is classified as an `Array` object. * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an array, else `false`. * @example * * _.isArray([1, 2, 3]); * // => true * * _.isArray(document.body.children); * // => false * * _.isArray('abc'); * // => false * * _.isArray(_.noop); * // => false */ var isArray = Array.isArray; /** * Checks if `value` is array-like. A value is considered array-like if it's * not a function and has a `value.length` that's an integer greater than or * equal to `0` and less than or equal to `Number.MAX_SAFE_INTEGER`. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is array-like, else `false`. * @example * * _.isArrayLike([1, 2, 3]); * // => true * * _.isArrayLike(document.body.children); * // => true * * _.isArrayLike('abc'); * // => true * * _.isArrayLike(_.noop); * // => false */ function isArrayLike(value) { return value != null && isLength(value.length) && !isFunction(value); } /** * This method is like `_.isArrayLike` except that it also checks if `value` * is an object. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an array-like object, * else `false`. * @example * * _.isArrayLikeObject([1, 2, 3]); * // => true * * _.isArrayLikeObject(document.body.children); * // => true * * _.isArrayLikeObject('abc'); * // => false * * _.isArrayLikeObject(_.noop); * // => false */ function isArrayLikeObject(value) { return isObjectLike(value) && isArrayLike(value); } /** * Checks if `value` is classified as a `Function` object. * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a function, else `false`. * @example * * _.isFunction(_); * // => true * * _.isFunction(/abc/); * // => false */ function isFunction(value) { // The use of `Object#toString` avoids issues with the `typeof` operator // in Safari 8-9 which returns 'object' for typed array and other constructors. var tag = isObject(value) ? objectToString.call(value) : ''; return tag == funcTag || tag == genTag; } /** * Checks if `value` is a valid array-like length. * * **Note:** This method is loosely based on * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength). * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a valid length, else `false`. * @example * * _.isLength(3); * // => true * * _.isLength(Number.MIN_VALUE); * // => false * * _.isLength(Infinity); * // => false * * _.isLength('3'); * // => false */ function isLength(value) { return typeof value == 'number' && value > -1 && value % 1 == 0 && value <= MAX_SAFE_INTEGER; } /** * Checks if `value` is the * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types) * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`) * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an object, else `false`. * @example * * _.isObject({}); * // => true * * _.isObject([1, 2, 3]); * // => true * * _.isObject(_.noop); * // => true * * _.isObject(null); * // => false */ function isObject(value) { var type = typeof value; return !!value && (type == 'object' || type == 'function'); } /** * Checks if `value` is object-like. A value is object-like if it's not `null` * and has a `typeof` result of "object". * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is object-like, else `false`. * @example * * _.isObjectLike({}); * // => true * * _.isObjectLike([1, 2, 3]); * // => true * * _.isObjectLike(_.noop); * // => false * * _.isObjectLike(null); * // => false */ function isObjectLike(value) { return !!value && typeof value == 'object'; } /** * Checks if `value` is classified as a `Symbol` primitive or object. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a symbol, else `false`. * @example * * _.isSymbol(Symbol.iterator); * // => true * * _.isSymbol('abc'); * // => false */ function isSymbol(value) { return typeof value == 'symbol' || (isObjectLike(value) && objectToString.call(value) == symbolTag); } /** * Converts `value` to a finite number. * * @static * @memberOf _ * @since 4.12.0 * @category Lang * @param {*} value The value to convert. * @returns {number} Returns the converted number. * @example * * _.toFinite(3.2); * // => 3.2 * * _.toFinite(Number.MIN_VALUE); * // => 5e-324 * * _.toFinite(Infinity); * // => 1.7976931348623157e+308 * * _.toFinite('3.2'); * // => 3.2 */ function toFinite(value) { if (!value) { return value === 0 ? value : 0; } value = toNumber(value); if (value === INFINITY || value === -INFINITY) { var sign = (value < 0 ? -1 : 1); return sign * MAX_INTEGER; } return value === value ? value : 0; } /** * Converts `value` to an integer. * * **Note:** This method is loosely based on * [`ToInteger`](http://www.ecma-international.org/ecma-262/7.0/#sec-tointeger). * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to convert. * @returns {number} Returns the converted integer. * @example * * _.toInteger(3.2); * // => 3 * * _.toInteger(Number.MIN_VALUE); * // => 0 * * _.toInteger(Infinity); * // => 1.7976931348623157e+308 * * _.toInteger('3.2'); * // => 3 */ function toInteger(value) { var result = toFinite(value), remainder = result % 1; return result === result ? (remainder ? result - remainder : result) : 0; } /** * Converts `value` to a number. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to process. * @returns {number} Returns the number. * @example * * _.toNumber(3.2); * // => 3.2 * * _.toNumber(Number.MIN_VALUE); * // => 5e-324 * * _.toNumber(Infinity); * // => Infinity * * _.toNumber('3.2'); * // => 3.2 */ function toNumber(value) { if (typeof value == 'number') { return value; } if (isSymbol(value)) { return NAN; } if (isObject(value)) { var other = typeof value.valueOf == 'function' ? value.valueOf() : value; value = isObject(other) ? (other + '') : other; } if (typeof value != 'string') { return value === 0 ? value : +value; } value = value.replace(reTrim, ''); var isBinary = reIsBinary.test(value); return (isBinary || reIsOctal.test(value)) ? freeParseInt(value.slice(2), isBinary ? 2 : 8) : (reIsBadHex.test(value) ? NAN : +value); } /** * Binds methods of an object to the object itself, overwriting the existing * method. * * **Note:** This method doesn't set the "length" property of bound functions. * * @static * @since 0.1.0 * @memberOf _ * @category Util * @param {Object} object The object to bind and assign the bound methods to. * @param {...(string|string[])} methodNames The object method names to bind. * @returns {Object} Returns `object`. * @example * * var view = { * 'label': 'docs', * 'click': function() { * console.log('clicked ' + this.label); * } * }; * * _.bindAll(view, ['click']); * jQuery(element).on('click', view.click); * // => Logs 'clicked docs' when clicked. */ var bindAll = baseRest(function(object, methodNames) { arrayEach(baseFlatten(methodNames, 1), function(key) { key = toKey(key); object[key] = bind(object[key], object); }); return object; }); /** * Creates a function that returns `value`. * * @static * @memberOf _ * @since 2.4.0 * @category Util * @param {*} value The value to return from the new function. * @returns {Function} Returns the new constant function. * @example * * var objects = _.times(2, _.constant({ 'a': 1 })); * * console.log(objects); * // => [{ 'a': 1 }, { 'a': 1 }] * * console.log(objects[0] === objects[1]); * // => true */ function constant(value) { return function() { return value; }; } /** * This method returns the first argument it receives. * * @static * @since 0.1.0 * @memberOf _ * @category Util * @param {*} value Any value. * @returns {*} Returns `value`. * @example * * var object = { 'a': 1 }; * * console.log(_.identity(object) === object); * // => true */ function identity(value) { return value; } // Assign default placeholders. bind.placeholder = {}; module.exports = bindAll; /* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(/*! ./../webpack/buildin/global.js */ "./node_modules/webpack/buildin/global.js"))) /***/ }), /***/ "./node_modules/lodash.debounce/index.js": /*!***********************************************!*\ !*** ./node_modules/lodash.debounce/index.js ***! \***********************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { /* WEBPACK VAR INJECTION */(function(global) {/** * lodash (Custom Build) * Build: `lodash modularize exports="npm" -o ./` * Copyright jQuery Foundation and other contributors * Released under MIT license * Based on Underscore.js 1.8.3 * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors */ /** Used as the `TypeError` message for "Functions" methods. */ var FUNC_ERROR_TEXT = 'Expected a function'; /** Used as references for various `Number` constants. */ var NAN = 0 / 0; /** `Object#toString` result references. */ var symbolTag = '[object Symbol]'; /** Used to match leading and trailing whitespace. */ var reTrim = /^\s+|\s+$/g; /** Used to detect bad signed hexadecimal string values. */ var reIsBadHex = /^[-+]0x[0-9a-f]+$/i; /** Used to detect binary string values. */ var reIsBinary = /^0b[01]+$/i; /** Used to detect octal string values. */ var reIsOctal = /^0o[0-7]+$/i; /** Built-in method references without a dependency on `root`. */ var freeParseInt = parseInt; /** Detect free variable `global` from Node.js. */ var freeGlobal = typeof global == 'object' && global && global.Object === Object && global; /** Detect free variable `self`. */ var freeSelf = typeof self == 'object' && self && self.Object === Object && self; /** Used as a reference to the global object. */ var root = freeGlobal || freeSelf || Function('return this')(); /** Used for built-in method references. */ var objectProto = Object.prototype; /** * Used to resolve the * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring) * of values. */ var objectToString = objectProto.toString; /* Built-in method references for those with the same name as other `lodash` methods. */ var nativeMax = Math.max, nativeMin = Math.min; /** * Gets the timestamp of the number of milliseconds that have elapsed since * the Unix epoch (1 January 1970 00:00:00 UTC). * * @static * @memberOf _ * @since 2.4.0 * @category Date * @returns {number} Returns the timestamp. * @example * * _.defer(function(stamp) { * console.log(_.now() - stamp); * }, _.now()); * // => Logs the number of milliseconds it took for the deferred invocation. */ var now = function() { return root.Date.now(); }; /** * Creates a debounced function that delays invoking `func` until after `wait` * milliseconds have elapsed since the last time the debounced function was * invoked. The debounced function comes with a `cancel` method to cancel * delayed `func` invocations and a `flush` method to immediately invoke them. * Provide `options` to indicate whether `func` should be invoked on the * leading and/or trailing edge of the `wait` timeout. The `func` is invoked * with the last arguments provided to the debounced function. Subsequent * calls to the debounced function return the result of the last `func` * invocation. * * **Note:** If `leading` and `trailing` options are `true`, `func` is * invoked on the trailing edge of the timeout only if the debounced function * is invoked more than once during the `wait` timeout. * * If `wait` is `0` and `leading` is `false`, `func` invocation is deferred * until to the next tick, similar to `setTimeout` with a timeout of `0`. * * See [David Corbacho's article](https://css-tricks.com/debouncing-throttling-explained-examples/) * for details over the differences between `_.debounce` and `_.throttle`. * * @static * @memberOf _ * @since 0.1.0 * @category Function * @param {Function} func The function to debounce. * @param {number} [wait=0] The number of milliseconds to delay. * @param {Object} [options={}] The options object. * @param {boolean} [options.leading=false] * Specify invoking on the leading edge of the timeout. * @param {number} [options.maxWait] * The maximum time `func` is allowed to be delayed before it's invoked. * @param {boolean} [options.trailing=true] * Specify invoking on the trailing edge of the timeout. * @returns {Function} Returns the new debounced function. * @example * * // Avoid costly calculations while the window size is in flux. * jQuery(window).on('resize', _.debounce(calculateLayout, 150)); * * // Invoke `sendMail` when clicked, debouncing subsequent calls. * jQuery(element).on('click', _.debounce(sendMail, 300, { * 'leading': true, * 'trailing': false * })); * * // Ensure `batchLog` is invoked once after 1 second of debounced calls. * var debounced = _.debounce(batchLog, 250, { 'maxWait': 1000 }); * var source = new EventSource('/stream'); * jQuery(source).on('message', debounced); * * // Cancel the trailing debounced invocation. * jQuery(window).on('popstate', debounced.cancel); */ function debounce(func, wait, options) { var lastArgs, lastThis, maxWait, result, timerId, lastCallTime, lastInvokeTime = 0, leading = false, maxing = false, trailing = true; if (typeof func != 'function') { throw new TypeError(FUNC_ERROR_TEXT); } wait = toNumber(wait) || 0; if (isObject(options)) { leading = !!options.leading; maxing = 'maxWait' in options; maxWait = maxing ? nativeMax(toNumber(options.maxWait) || 0, wait) : maxWait; trailing = 'trailing' in options ? !!options.trailing : trailing; } function invokeFunc(time) { var args = lastArgs, thisArg = lastThis; lastArgs = lastThis = undefined; lastInvokeTime = time; result = func.apply(thisArg, args); return result; } function leadingEdge(time) { // Reset any `maxWait` timer. lastInvokeTime = time; // Start the timer for the trailing edge. timerId = setTimeout(timerExpired, wait); // Invoke the leading edge. return leading ? invokeFunc(time) : result; } function remainingWait(time) { var timeSinceLastCall = time - lastCallTime, timeSinceLastInvoke = time - lastInvokeTime, result = wait - timeSinceLastCall; return maxing ? nativeMin(result, maxWait - timeSinceLastInvoke) : result; } function shouldInvoke(time) { var timeSinceLastCall = time - lastCallTime, timeSinceLastInvoke = time - lastInvokeTime; // Either this is the first call, activity has stopped and we're at the // trailing edge, the system time has gone backwards and we're treating // it as the trailing edge, or we've hit the `maxWait` limit. return (lastCallTime === undefined || (timeSinceLastCall >= wait) || (timeSinceLastCall < 0) || (maxing && timeSinceLastInvoke >= maxWait)); } function timerExpired() { var time = now(); if (shouldInvoke(time)) { return trailingEdge(time); } // Restart the timer. timerId = setTimeout(timerExpired, remainingWait(time)); } function trailingEdge(time) { timerId = undefined; // Only invoke if we have `lastArgs` which means `func` has been // debounced at least once. if (trailing && lastArgs) { return invokeFunc(time); } lastArgs = lastThis = undefined; return result; } function cancel() { if (timerId !== undefined) { clearTimeout(timerId); } lastInvokeTime = 0; lastArgs = lastCallTime = lastThis = timerId = undefined; } function flush() { return timerId === undefined ? result : trailingEdge(now()); } function debounced() { var time = now(), isInvoking = shouldInvoke(time); lastArgs = arguments; lastThis = this; lastCallTime = time; if (isInvoking) { if (timerId === undefined) { return leadingEdge(lastCallTime); } if (maxing) { // Handle invocations in a tight loop. timerId = setTimeout(timerExpired, wait); return invokeFunc(lastCallTime); } } if (timerId === undefined) { timerId = setTimeout(timerExpired, wait); } return result; } debounced.cancel = cancel; debounced.flush = flush; return debounced; } /** * Checks if `value` is the * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types) * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`) * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an object, else `false`. * @example * * _.isObject({}); * // => true * * _.isObject([1, 2, 3]); * // => true * * _.isObject(_.noop); * // => true * * _.isObject(null); * // => false */ function isObject(value) { var type = typeof value; return !!value && (type == 'object' || type == 'function'); } /** * Checks if `value` is object-like. A value is object-like if it's not `null` * and has a `typeof` result of "object". * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is object-like, else `false`. * @example * * _.isObjectLike({}); * // => true * * _.isObjectLike([1, 2, 3]); * // => true * * _.isObjectLike(_.noop); * // => false * * _.isObjectLike(null); * // => false */ function isObjectLike(value) { return !!value && typeof value == 'object'; } /** * Checks if `value` is classified as a `Symbol` primitive or object. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a symbol, else `false`. * @example * * _.isSymbol(Symbol.iterator); * // => true * * _.isSymbol('abc'); * // => false */ function isSymbol(value) { return typeof value == 'symbol' || (isObjectLike(value) && objectToString.call(value) == symbolTag); } /** * Converts `value` to a number. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to process. * @returns {number} Returns the number. * @example * * _.toNumber(3.2); * // => 3.2 * * _.toNumber(Number.MIN_VALUE); * // => 5e-324 * * _.toNumber(Infinity); * // => Infinity * * _.toNumber('3.2'); * // => 3.2 */ function toNumber(value) { if (typeof value == 'number') { return value; } if (isSymbol(value)) { return NAN; } if (isObject(value)) { var other = typeof value.valueOf == 'function' ? value.valueOf() : value; value = isObject(other) ? (other + '') : other; } if (typeof value != 'string') { return value === 0 ? value : +value; } value = value.replace(reTrim, ''); var isBinary = reIsBinary.test(value); return (isBinary || reIsOctal.test(value)) ? freeParseInt(value.slice(2), isBinary ? 2 : 8) : (reIsBadHex.test(value) ? NAN : +value); } module.exports = debounce; /* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(/*! ./../webpack/buildin/global.js */ "./node_modules/webpack/buildin/global.js"))) /***/ }), /***/ "./node_modules/lodash.defaultsdeep/index.js": /*!***************************************************!*\ !*** ./node_modules/lodash.defaultsdeep/index.js ***! \***************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { /* WEBPACK VAR INJECTION */(function(global, module) {/** * Lodash (Custom Build) * Build: `lodash modularize exports="npm" -o ./` * Copyright OpenJS Foundation and other contributors * Released under MIT license * Based on Underscore.js 1.8.3 * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors */ /** Used as the size to enable large array optimizations. */ var LARGE_ARRAY_SIZE = 200; /** Used to stand-in for `undefined` hash values. */ var HASH_UNDEFINED = '__lodash_hash_undefined__'; /** Used to detect hot functions by number of calls within a span of milliseconds. */ var HOT_COUNT = 800, HOT_SPAN = 16; /** Used as references for various `Number` constants. */ var MAX_SAFE_INTEGER = 9007199254740991; /** `Object#toString` result references. */ var argsTag = '[object Arguments]', arrayTag = '[object Array]', asyncTag = '[object AsyncFunction]', boolTag = '[object Boolean]', dateTag = '[object Date]', errorTag = '[object Error]', funcTag = '[object Function]', genTag = '[object GeneratorFunction]', mapTag = '[object Map]', numberTag = '[object Number]', nullTag = '[object Null]', objectTag = '[object Object]', proxyTag = '[object Proxy]', regexpTag = '[object RegExp]', setTag = '[object Set]', stringTag = '[object String]', undefinedTag = '[object Undefined]', weakMapTag = '[object WeakMap]'; var arrayBufferTag = '[object ArrayBuffer]', dataViewTag = '[object DataView]', float32Tag = '[object Float32Array]', float64Tag = '[object Float64Array]', int8Tag = '[object Int8Array]', int16Tag = '[object Int16Array]', int32Tag = '[object Int32Array]', uint8Tag = '[object Uint8Array]', uint8ClampedTag = '[object Uint8ClampedArray]', uint16Tag = '[object Uint16Array]', uint32Tag = '[object Uint32Array]'; /** * Used to match `RegExp` * [syntax characters](http://ecma-international.org/ecma-262/7.0/#sec-patterns). */ var reRegExpChar = /[\\^$.*+?()[\]{}|]/g; /** Used to detect host constructors (Safari). */ var reIsHostCtor = /^\[object .+?Constructor\]$/; /** Used to detect unsigned integer values. */ var reIsUint = /^(?:0|[1-9]\d*)$/; /** Used to identify `toStringTag` values of typed arrays. */ var typedArrayTags = {}; typedArrayTags[float32Tag] = typedArrayTags[float64Tag] = typedArrayTags[int8Tag] = typedArrayTags[int16Tag] = typedArrayTags[int32Tag] = typedArrayTags[uint8Tag] = typedArrayTags[uint8ClampedTag] = typedArrayTags[uint16Tag] = typedArrayTags[uint32Tag] = true; typedArrayTags[argsTag] = typedArrayTags[arrayTag] = typedArrayTags[arrayBufferTag] = typedArrayTags[boolTag] = typedArrayTags[dataViewTag] = typedArrayTags[dateTag] = typedArrayTags[errorTag] = typedArrayTags[funcTag] = typedArrayTags[mapTag] = typedArrayTags[numberTag] = typedArrayTags[objectTag] = typedArrayTags[regexpTag] = typedArrayTags[setTag] = typedArrayTags[stringTag] = typedArrayTags[weakMapTag] = false; /** Detect free variable `global` from Node.js. */ var freeGlobal = typeof global == 'object' && global && global.Object === Object && global; /** Detect free variable `self`. */ var freeSelf = typeof self == 'object' && self && self.Object === Object && self; /** Used as a reference to the global object. */ var root = freeGlobal || freeSelf || Function('return this')(); /** Detect free variable `exports`. */ var freeExports = true && exports && !exports.nodeType && exports; /** Detect free variable `module`. */ var freeModule = freeExports && typeof module == 'object' && module && !module.nodeType && module; /** Detect the popular CommonJS extension `module.exports`. */ var moduleExports = freeModule && freeModule.exports === freeExports; /** Detect free variable `process` from Node.js. */ var freeProcess = moduleExports && freeGlobal.process; /** Used to access faster Node.js helpers. */ var nodeUtil = (function() { try { // Use `util.types` for Node.js 10+. var types = freeModule && freeModule.require && freeModule.require('util').types; if (types) { return types; } // Legacy `process.binding('util')` for Node.js < 10. return freeProcess && freeProcess.binding && freeProcess.binding('util'); } catch (e) {} }()); /* Node.js helper references. */ var nodeIsTypedArray = nodeUtil && nodeUtil.isTypedArray; /** * A faster alternative to `Function#apply`, this function invokes `func` * with the `this` binding of `thisArg` and the arguments of `args`. * * @private * @param {Function} func The function to invoke. * @param {*} thisArg The `this` binding of `func`. * @param {Array} args The arguments to invoke `func` with. * @returns {*} Returns the result of `func`. */ function apply(func, thisArg, args) { switch (args.length) { case 0: return func.call(thisArg); case 1: return func.call(thisArg, args[0]); case 2: return func.call(thisArg, args[0], args[1]); case 3: return func.call(thisArg, args[0], args[1], args[2]); } return func.apply(thisArg, args); } /** * The base implementation of `_.times` without support for iteratee shorthands * or max array length checks. * * @private * @param {number} n The number of times to invoke `iteratee`. * @param {Function} iteratee The function invoked per iteration. * @returns {Array} Returns the array of results. */ function baseTimes(n, iteratee) { var index = -1, result = Array(n); while (++index < n) { result[index] = iteratee(index); } return result; } /** * The base implementation of `_.unary` without support for storing metadata. * * @private * @param {Function} func The function to cap arguments for. * @returns {Function} Returns the new capped function. */ function baseUnary(func) { return function(value) { return func(value); }; } /** * Gets the value at `key` of `object`. * * @private * @param {Object} [object] The object to query. * @param {string} key The key of the property to get. * @returns {*} Returns the property value. */ function getValue(object, key) { return object == null ? undefined : object[key]; } /** * Creates a unary function that invokes `func` with its argument transformed. * * @private * @param {Function} func The function to wrap. * @param {Function} transform The argument transform. * @returns {Function} Returns the new function. */ function overArg(func, transform) { return function(arg) { return func(transform(arg)); }; } /** Used for built-in method references. */ var arrayProto = Array.prototype, funcProto = Function.prototype, objectProto = Object.prototype; /** Used to detect overreaching core-js shims. */ var coreJsData = root['__core-js_shared__']; /** Used to resolve the decompiled source of functions. */ var funcToString = funcProto.toString; /** Used to check objects for own properties. */ var hasOwnProperty = objectProto.hasOwnProperty; /** Used to detect methods masquerading as native. */ var maskSrcKey = (function() { var uid = /[^.]+$/.exec(coreJsData && coreJsData.keys && coreJsData.keys.IE_PROTO || ''); return uid ? ('Symbol(src)_1.' + uid) : ''; }()); /** * Used to resolve the * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring) * of values. */ var nativeObjectToString = objectProto.toString; /** Used to infer the `Object` constructor. */ var objectCtorString = funcToString.call(Object); /** Used to detect if a method is native. */ var reIsNative = RegExp('^' + funcToString.call(hasOwnProperty).replace(reRegExpChar, '\\$&') .replace(/hasOwnProperty|(function).*?(?=\\\()| for .+?(?=\\\])/g, '$1.*?') + '$' ); /** Built-in value references. */ var Buffer = moduleExports ? root.Buffer : undefined, Symbol = root.Symbol, Uint8Array = root.Uint8Array, allocUnsafe = Buffer ? Buffer.allocUnsafe : undefined, getPrototype = overArg(Object.getPrototypeOf, Object), objectCreate = Object.create, propertyIsEnumerable = objectProto.propertyIsEnumerable, splice = arrayProto.splice, symToStringTag = Symbol ? Symbol.toStringTag : undefined; var defineProperty = (function() { try { var func = getNative(Object, 'defineProperty'); func({}, '', {}); return func; } catch (e) {} }()); /* Built-in method references for those with the same name as other `lodash` methods. */ var nativeIsBuffer = Buffer ? Buffer.isBuffer : undefined, nativeMax = Math.max, nativeNow = Date.now; /* Built-in method references that are verified to be native. */ var Map = getNative(root, 'Map'), nativeCreate = getNative(Object, 'create'); /** * The base implementation of `_.create` without support for assigning * properties to the created object. * * @private * @param {Object} proto The object to inherit from. * @returns {Object} Returns the new object. */ var baseCreate = (function() { function object() {} return function(proto) { if (!isObject(proto)) { return {}; } if (objectCreate) { return objectCreate(proto); } object.prototype = proto; var result = new object; object.prototype = undefined; return result; }; }()); /** * Creates a hash object. * * @private * @constructor * @param {Array} [entries] The key-value pairs to cache. */ function Hash(entries) { var index = -1, length = entries == null ? 0 : entries.length; this.clear(); while (++index < length) { var entry = entries[index]; this.set(entry[0], entry[1]); } } /** * Removes all key-value entries from the hash. * * @private * @name clear * @memberOf Hash */ function hashClear() { this.__data__ = nativeCreate ? nativeCreate(null) : {}; this.size = 0; } /** * Removes `key` and its value from the hash. * * @private * @name delete * @memberOf Hash * @param {Object} hash The hash to modify. * @param {string} key The key of the value to remove. * @returns {boolean} Returns `true` if the entry was removed, else `false`. */ function hashDelete(key) { var result = this.has(key) && delete this.__data__[key]; this.size -= result ? 1 : 0; return result; } /** * Gets the hash value for `key`. * * @private * @name get * @memberOf Hash * @param {string} key The key of the value to get. * @returns {*} Returns the entry value. */ function hashGet(key) { var data = this.__data__; if (nativeCreate) { var result = data[key]; return result === HASH_UNDEFINED ? undefined : result; } return hasOwnProperty.call(data, key) ? data[key] : undefined; } /** * Checks if a hash value for `key` exists. * * @private * @name has * @memberOf Hash * @param {string} key The key of the entry to check. * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. */ function hashHas(key) { var data = this.__data__; return nativeCreate ? (data[key] !== undefined) : hasOwnProperty.call(data, key); } /** * Sets the hash `key` to `value`. * * @private * @name set * @memberOf Hash * @param {string} key The key of the value to set. * @param {*} value The value to set. * @returns {Object} Returns the hash instance. */ function hashSet(key, value) { var data = this.__data__; this.size += this.has(key) ? 0 : 1; data[key] = (nativeCreate && value === undefined) ? HASH_UNDEFINED : value; return this; } // Add methods to `Hash`. Hash.prototype.clear = hashClear; Hash.prototype['delete'] = hashDelete; Hash.prototype.get = hashGet; Hash.prototype.has = hashHas; Hash.prototype.set = hashSet; /** * Creates an list cache object. * * @private * @constructor * @param {Array} [entries] The key-value pairs to cache. */ function ListCache(entries) { var index = -1, length = entries == null ? 0 : entries.length; this.clear(); while (++index < length) { var entry = entries[index]; this.set(entry[0], entry[1]); } } /** * Removes all key-value entries from the list cache. * * @private * @name clear * @memberOf ListCache */ function listCacheClear() { this.__data__ = []; this.size = 0; } /** * Removes `key` and its value from the list cache. * * @private * @name delete * @memberOf ListCache * @param {string} key The key of the value to remove. * @returns {boolean} Returns `true` if the entry was removed, else `false`. */ function listCacheDelete(key) { var data = this.__data__, index = assocIndexOf(data, key); if (index < 0) { return false; } var lastIndex = data.length - 1; if (index == lastIndex) { data.pop(); } else { splice.call(data, index, 1); } --this.size; return true; } /** * Gets the list cache value for `key`. * * @private * @name get * @memberOf ListCache * @param {string} key The key of the value to get. * @returns {*} Returns the entry value. */ function listCacheGet(key) { var data = this.__data__, index = assocIndexOf(data, key); return index < 0 ? undefined : data[index][1]; } /** * Checks if a list cache value for `key` exists. * * @private * @name has * @memberOf ListCache * @param {string} key The key of the entry to check. * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. */ function listCacheHas(key) { return assocIndexOf(this.__data__, key) > -1; } /** * Sets the list cache `key` to `value`. * * @private * @name set * @memberOf ListCache * @param {string} key The key of the value to set. * @param {*} value The value to set. * @returns {Object} Returns the list cache instance. */ function listCacheSet(key, value) { var data = this.__data__, index = assocIndexOf(data, key); if (index < 0) { ++this.size; data.push([key, value]); } else { data[index][1] = value; } return this; } // Add methods to `ListCache`. ListCache.prototype.clear = listCacheClear; ListCache.prototype['delete'] = listCacheDelete; ListCache.prototype.get = listCacheGet; ListCache.prototype.has = listCacheHas; ListCache.prototype.set = listCacheSet; /** * Creates a map cache object to store key-value pairs. * * @private * @constructor * @param {Array} [entries] The key-value pairs to cache. */ function MapCache(entries) { var index = -1, length = entries == null ? 0 : entries.length; this.clear(); while (++index < length) { var entry = entries[index]; this.set(entry[0], entry[1]); } } /** * Removes all key-value entries from the map. * * @private * @name clear * @memberOf MapCache */ function mapCacheClear() { this.size = 0; this.__data__ = { 'hash': new Hash, 'map': new (Map || ListCache), 'string': new Hash }; } /** * Removes `key` and its value from the map. * * @private * @name delete * @memberOf MapCache * @param {string} key The key of the value to remove. * @returns {boolean} Returns `true` if the entry was removed, else `false`. */ function mapCacheDelete(key) { var result = getMapData(this, key)['delete'](key); this.size -= result ? 1 : 0; return result; } /** * Gets the map value for `key`. * * @private * @name get * @memberOf MapCache * @param {string} key The key of the value to get. * @returns {*} Returns the entry value. */ function mapCacheGet(key) { return getMapData(this, key).get(key); } /** * Checks if a map value for `key` exists. * * @private * @name has * @memberOf MapCache * @param {string} key The key of the entry to check. * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. */ function mapCacheHas(key) { return getMapData(this, key).has(key); } /** * Sets the map `key` to `value`. * * @private * @name set * @memberOf MapCache * @param {string} key The key of the value to set. * @param {*} value The value to set. * @returns {Object} Returns the map cache instance. */ function mapCacheSet(key, value) { var data = getMapData(this, key), size = data.size; data.set(key, value); this.size += data.size == size ? 0 : 1; return this; } // Add methods to `MapCache`. MapCache.prototype.clear = mapCacheClear; MapCache.prototype['delete'] = mapCacheDelete; MapCache.prototype.get = mapCacheGet; MapCache.prototype.has = mapCacheHas; MapCache.prototype.set = mapCacheSet; /** * Creates a stack cache object to store key-value pairs. * * @private * @constructor * @param {Array} [entries] The key-value pairs to cache. */ function Stack(entries) { var data = this.__data__ = new ListCache(entries); this.size = data.size; } /** * Removes all key-value entries from the stack. * * @private * @name clear * @memberOf Stack */ function stackClear() { this.__data__ = new ListCache; this.size = 0; } /** * Removes `key` and its value from the stack. * * @private * @name delete * @memberOf Stack * @param {string} key The key of the value to remove. * @returns {boolean} Returns `true` if the entry was removed, else `false`. */ function stackDelete(key) { var data = this.__data__, result = data['delete'](key); this.size = data.size; return result; } /** * Gets the stack value for `key`. * * @private * @name get * @memberOf Stack * @param {string} key The key of the value to get. * @returns {*} Returns the entry value. */ function stackGet(key) { return this.__data__.get(key); } /** * Checks if a stack value for `key` exists. * * @private * @name has * @memberOf Stack * @param {string} key The key of the entry to check. * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. */ function stackHas(key) { return this.__data__.has(key); } /** * Sets the stack `key` to `value`. * * @private * @name set * @memberOf Stack * @param {string} key The key of the value to set. * @param {*} value The value to set. * @returns {Object} Returns the stack cache instance. */ function stackSet(key, value) { var data = this.__data__; if (data instanceof ListCache) { var pairs = data.__data__; if (!Map || (pairs.length < LARGE_ARRAY_SIZE - 1)) { pairs.push([key, value]); this.size = ++data.size; return this; } data = this.__data__ = new MapCache(pairs); } data.set(key, value); this.size = data.size; return this; } // Add methods to `Stack`. Stack.prototype.clear = stackClear; Stack.prototype['delete'] = stackDelete; Stack.prototype.get = stackGet; Stack.prototype.has = stackHas; Stack.prototype.set = stackSet; /** * Creates an array of the enumerable property names of the array-like `value`. * * @private * @param {*} value The value to query. * @param {boolean} inherited Specify returning inherited property names. * @returns {Array} Returns the array of property names. */ function arrayLikeKeys(value, inherited) { var isArr = isArray(value), isArg = !isArr && isArguments(value), isBuff = !isArr && !isArg && isBuffer(value), isType = !isArr && !isArg && !isBuff && isTypedArray(value), skipIndexes = isArr || isArg || isBuff || isType, result = skipIndexes ? baseTimes(value.length, String) : [], length = result.length; for (var key in value) { if ((inherited || hasOwnProperty.call(value, key)) && !(skipIndexes && ( // Safari 9 has enumerable `arguments.length` in strict mode. key == 'length' || // Node.js 0.10 has enumerable non-index properties on buffers. (isBuff && (key == 'offset' || key == 'parent')) || // PhantomJS 2 has enumerable non-index properties on typed arrays. (isType && (key == 'buffer' || key == 'byteLength' || key == 'byteOffset')) || // Skip index properties. isIndex(key, length) ))) { result.push(key); } } return result; } /** * This function is like `assignValue` except that it doesn't assign * `undefined` values. * * @private * @param {Object} object The object to modify. * @param {string} key The key of the property to assign. * @param {*} value The value to assign. */ function assignMergeValue(object, key, value) { if ((value !== undefined && !eq(object[key], value)) || (value === undefined && !(key in object))) { baseAssignValue(object, key, value); } } /** * Assigns `value` to `key` of `object` if the existing value is not equivalent * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero) * for equality comparisons. * * @private * @param {Object} object The object to modify. * @param {string} key The key of the property to assign. * @param {*} value The value to assign. */ function assignValue(object, key, value) { var objValue = object[key]; if (!(hasOwnProperty.call(object, key) && eq(objValue, value)) || (value === undefined && !(key in object))) { baseAssignValue(object, key, value); } } /** * Gets the index at which the `key` is found in `array` of key-value pairs. * * @private * @param {Array} array The array to inspect. * @param {*} key The key to search for. * @returns {number} Returns the index of the matched value, else `-1`. */ function assocIndexOf(array, key) { var length = array.length; while (length--) { if (eq(array[length][0], key)) { return length; } } return -1; } /** * The base implementation of `assignValue` and `assignMergeValue` without * value checks. * * @private * @param {Object} object The object to modify. * @param {string} key The key of the property to assign. * @param {*} value The value to assign. */ function baseAssignValue(object, key, value) { if (key == '__proto__' && defineProperty) { defineProperty(object, key, { 'configurable': true, 'enumerable': true, 'value': value, 'writable': true }); } else { object[key] = value; } } /** * The base implementation of `baseForOwn` which iterates over `object` * properties returned by `keysFunc` and invokes `iteratee` for each property. * Iteratee functions may exit iteration early by explicitly returning `false`. * * @private * @param {Object} object The object to iterate over. * @param {Function} iteratee The function invoked per iteration. * @param {Function} keysFunc The function to get the keys of `object`. * @returns {Object} Returns `object`. */ var baseFor = createBaseFor(); /** * The base implementation of `getTag` without fallbacks for buggy environments. * * @private * @param {*} value The value to query. * @returns {string} Returns the `toStringTag`. */ function baseGetTag(value) { if (value == null) { return value === undefined ? undefinedTag : nullTag; } return (symToStringTag && symToStringTag in Object(value)) ? getRawTag(value) : objectToString(value); } /** * The base implementation of `_.isArguments`. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an `arguments` object, */ function baseIsArguments(value) { return isObjectLike(value) && baseGetTag(value) == argsTag; } /** * The base implementation of `_.isNative` without bad shim checks. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a native function, * else `false`. */ function baseIsNative(value) { if (!isObject(value) || isMasked(value)) { return false; } var pattern = isFunction(value) ? reIsNative : reIsHostCtor; return pattern.test(toSource(value)); } /** * The base implementation of `_.isTypedArray` without Node.js optimizations. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a typed array, else `false`. */ function baseIsTypedArray(value) { return isObjectLike(value) && isLength(value.length) && !!typedArrayTags[baseGetTag(value)]; } /** * The base implementation of `_.keysIn` which doesn't treat sparse arrays as dense. * * @private * @param {Object} object The object to query. * @returns {Array} Returns the array of property names. */ function baseKeysIn(object) { if (!isObject(object)) { return nativeKeysIn(object); } var isProto = isPrototype(object), result = []; for (var key in object) { if (!(key == 'constructor' && (isProto || !hasOwnProperty.call(object, key)))) { result.push(key); } } return result; } /** * The base implementation of `_.merge` without support for multiple sources. * * @private * @param {Object} object The destination object. * @param {Object} source The source object. * @param {number} srcIndex The index of `source`. * @param {Function} [customizer] The function to customize merged values. * @param {Object} [stack] Tracks traversed source values and their merged * counterparts. */ function baseMerge(object, source, srcIndex, customizer, stack) { if (object === source) { return; } baseFor(source, function(srcValue, key) { stack || (stack = new Stack); if (isObject(srcValue)) { baseMergeDeep(object, source, key, srcIndex, baseMerge, customizer, stack); } else { var newValue = customizer ? customizer(safeGet(object, key), srcValue, (key + ''), object, source, stack) : undefined; if (newValue === undefined) { newValue = srcValue; } assignMergeValue(object, key, newValue); } }, keysIn); } /** * A specialized version of `baseMerge` for arrays and objects which performs * deep merges and tracks traversed objects enabling objects with circular * references to be merged. * * @private * @param {Object} object The destination object. * @param {Object} source The source object. * @param {string} key The key of the value to merge. * @param {number} srcIndex The index of `source`. * @param {Function} mergeFunc The function to merge values. * @param {Function} [customizer] The function to customize assigned values. * @param {Object} [stack] Tracks traversed source values and their merged * counterparts. */ function baseMergeDeep(object, source, key, srcIndex, mergeFunc, customizer, stack) { var objValue = safeGet(object, key), srcValue = safeGet(source, key), stacked = stack.get(srcValue); if (stacked) { assignMergeValue(object, key, stacked); return; } var newValue = customizer ? customizer(objValue, srcValue, (key + ''), object, source, stack) : undefined; var isCommon = newValue === undefined; if (isCommon) { var isArr = isArray(srcValue), isBuff = !isArr && isBuffer(srcValue), isTyped = !isArr && !isBuff && isTypedArray(srcValue); newValue = srcValue; if (isArr || isBuff || isTyped) { if (isArray(objValue)) { newValue = objValue; } else if (isArrayLikeObject(objValue)) { newValue = copyArray(objValue); } else if (isBuff) { isCommon = false; newValue = cloneBuffer(srcValue, true); } else if (isTyped) { isCommon = false; newValue = cloneTypedArray(srcValue, true); } else { newValue = []; } } else if (isPlainObject(srcValue) || isArguments(srcValue)) { newValue = objValue; if (isArguments(objValue)) { newValue = toPlainObject(objValue); } else if (!isObject(objValue) || isFunction(objValue)) { newValue = initCloneObject(srcValue); } } else { isCommon = false; } } if (isCommon) { // Recursively merge objects and arrays (susceptible to call stack limits). stack.set(srcValue, newValue); mergeFunc(newValue, srcValue, srcIndex, customizer, stack); stack['delete'](srcValue); } assignMergeValue(object, key, newValue); } /** * The base implementation of `_.rest` which doesn't validate or coerce arguments. * * @private * @param {Function} func The function to apply a rest parameter to. * @param {number} [start=func.length-1] The start position of the rest parameter. * @returns {Function} Returns the new function. */ function baseRest(func, start) { return setToString(overRest(func, start, identity), func + ''); } /** * The base implementation of `setToString` without support for hot loop shorting. * * @private * @param {Function} func The function to modify. * @param {Function} string The `toString` result. * @returns {Function} Returns `func`. */ var baseSetToString = !defineProperty ? identity : function(func, string) { return defineProperty(func, 'toString', { 'configurable': true, 'enumerable': false, 'value': constant(string), 'writable': true }); }; /** * Creates a clone of `buffer`. * * @private * @param {Buffer} buffer The buffer to clone. * @param {boolean} [isDeep] Specify a deep clone. * @returns {Buffer} Returns the cloned buffer. */ function cloneBuffer(buffer, isDeep) { if (isDeep) { return buffer.slice(); } var length = buffer.length, result = allocUnsafe ? allocUnsafe(length) : new buffer.constructor(length); buffer.copy(result); return result; } /** * Creates a clone of `arrayBuffer`. * * @private * @param {ArrayBuffer} arrayBuffer The array buffer to clone. * @returns {ArrayBuffer} Returns the cloned array buffer. */ function cloneArrayBuffer(arrayBuffer) { var result = new arrayBuffer.constructor(arrayBuffer.byteLength); new Uint8Array(result).set(new Uint8Array(arrayBuffer)); return result; } /** * Creates a clone of `typedArray`. * * @private * @param {Object} typedArray The typed array to clone. * @param {boolean} [isDeep] Specify a deep clone. * @returns {Object} Returns the cloned typed array. */ function cloneTypedArray(typedArray, isDeep) { var buffer = isDeep ? cloneArrayBuffer(typedArray.buffer) : typedArray.buffer; return new typedArray.constructor(buffer, typedArray.byteOffset, typedArray.length); } /** * Copies the values of `source` to `array`. * * @private * @param {Array} source The array to copy values from. * @param {Array} [array=[]] The array to copy values to. * @returns {Array} Returns `array`. */ function copyArray(source, array) { var index = -1, length = source.length; array || (array = Array(length)); while (++index < length) { array[index] = source[index]; } return array; } /** * Copies properties of `source` to `object`. * * @private * @param {Object} source The object to copy properties from. * @param {Array} props The property identifiers to copy. * @param {Object} [object={}] The object to copy properties to. * @param {Function} [customizer] The function to customize copied values. * @returns {Object} Returns `object`. */ function copyObject(source, props, object, customizer) { var isNew = !object; object || (object = {}); var index = -1, length = props.length; while (++index < length) { var key = props[index]; var newValue = customizer ? customizer(object[key], source[key], key, object, source) : undefined; if (newValue === undefined) { newValue = source[key]; } if (isNew) { baseAssignValue(object, key, newValue); } else { assignValue(object, key, newValue); } } return object; } /** * Creates a function like `_.assign`. * * @private * @param {Function} assigner The function to assign values. * @returns {Function} Returns the new assigner function. */ function createAssigner(assigner) { return baseRest(function(object, sources) { var index = -1, length = sources.length, customizer = length > 1 ? sources[length - 1] : undefined, guard = length > 2 ? sources[2] : undefined; customizer = (assigner.length > 3 && typeof customizer == 'function') ? (length--, customizer) : undefined; if (guard && isIterateeCall(sources[0], sources[1], guard)) { customizer = length < 3 ? undefined : customizer; length = 1; } object = Object(object); while (++index < length) { var source = sources[index]; if (source) { assigner(object, source, index, customizer); } } return object; }); } /** * Creates a base function for methods like `_.forIn` and `_.forOwn`. * * @private * @param {boolean} [fromRight] Specify iterating from right to left. * @returns {Function} Returns the new base function. */ function createBaseFor(fromRight) { return function(object, iteratee, keysFunc) { var index = -1, iterable = Object(object), props = keysFunc(object), length = props.length; while (length--) { var key = props[fromRight ? length : ++index]; if (iteratee(iterable[key], key, iterable) === false) { break; } } return object; }; } /** * Used by `_.defaultsDeep` to customize its `_.merge` use to merge source * objects into destination objects that are passed thru. * * @private * @param {*} objValue The destination value. * @param {*} srcValue The source value. * @param {string} key The key of the property to merge. * @param {Object} object The parent object of `objValue`. * @param {Object} source The parent object of `srcValue`. * @param {Object} [stack] Tracks traversed source values and their merged * counterparts. * @returns {*} Returns the value to assign. */ function customDefaultsMerge(objValue, srcValue, key, object, source, stack) { if (isObject(objValue) && isObject(srcValue)) { // Recursively merge objects and arrays (susceptible to call stack limits). stack.set(srcValue, objValue); baseMerge(objValue, srcValue, undefined, customDefaultsMerge, stack); stack['delete'](srcValue); } return objValue; } /** * Gets the data for `map`. * * @private * @param {Object} map The map to query. * @param {string} key The reference key. * @returns {*} Returns the map data. */ function getMapData(map, key) { var data = map.__data__; return isKeyable(key) ? data[typeof key == 'string' ? 'string' : 'hash'] : data.map; } /** * Gets the native function at `key` of `object`. * * @private * @param {Object} object The object to query. * @param {string} key The key of the method to get. * @returns {*} Returns the function if it's native, else `undefined`. */ function getNative(object, key) { var value = getValue(object, key); return baseIsNative(value) ? value : undefined; } /** * A specialized version of `baseGetTag` which ignores `Symbol.toStringTag` values. * * @private * @param {*} value The value to query. * @returns {string} Returns the raw `toStringTag`. */ function getRawTag(value) { var isOwn = hasOwnProperty.call(value, symToStringTag), tag = value[symToStringTag]; try { value[symToStringTag] = undefined; var unmasked = true; } catch (e) {} var result = nativeObjectToString.call(value); if (unmasked) { if (isOwn) { value[symToStringTag] = tag; } else { delete value[symToStringTag]; } } return result; } /** * Initializes an object clone. * * @private * @param {Object} object The object to clone. * @returns {Object} Returns the initialized clone. */ function initCloneObject(object) { return (typeof object.constructor == 'function' && !isPrototype(object)) ? baseCreate(getPrototype(object)) : {}; } /** * Checks if `value` is a valid array-like index. * * @private * @param {*} value The value to check. * @param {number} [length=MAX_SAFE_INTEGER] The upper bounds of a valid index. * @returns {boolean} Returns `true` if `value` is a valid index, else `false`. */ function isIndex(value, length) { var type = typeof value; length = length == null ? MAX_SAFE_INTEGER : length; return !!length && (type == 'number' || (type != 'symbol' && reIsUint.test(value))) && (value > -1 && value % 1 == 0 && value < length); } /** * Checks if the given arguments are from an iteratee call. * * @private * @param {*} value The potential iteratee value argument. * @param {*} index The potential iteratee index or key argument. * @param {*} object The potential iteratee object argument. * @returns {boolean} Returns `true` if the arguments are from an iteratee call, * else `false`. */ function isIterateeCall(value, index, object) { if (!isObject(object)) { return false; } var type = typeof index; if (type == 'number' ? (isArrayLike(object) && isIndex(index, object.length)) : (type == 'string' && index in object) ) { return eq(object[index], value); } return false; } /** * Checks if `value` is suitable for use as unique object key. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is suitable, else `false`. */ function isKeyable(value) { var type = typeof value; return (type == 'string' || type == 'number' || type == 'symbol' || type == 'boolean') ? (value !== '__proto__') : (value === null); } /** * Checks if `func` has its source masked. * * @private * @param {Function} func The function to check. * @returns {boolean} Returns `true` if `func` is masked, else `false`. */ function isMasked(func) { return !!maskSrcKey && (maskSrcKey in func); } /** * Checks if `value` is likely a prototype object. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a prototype, else `false`. */ function isPrototype(value) { var Ctor = value && value.constructor, proto = (typeof Ctor == 'function' && Ctor.prototype) || objectProto; return value === proto; } /** * This function is like * [`Object.keys`](http://ecma-international.org/ecma-262/7.0/#sec-object.keys) * except that it includes inherited enumerable properties. * * @private * @param {Object} object The object to query. * @returns {Array} Returns the array of property names. */ function nativeKeysIn(object) { var result = []; if (object != null) { for (var key in Object(object)) { result.push(key); } } return result; } /** * Converts `value` to a string using `Object.prototype.toString`. * * @private * @param {*} value The value to convert. * @returns {string} Returns the converted string. */ function objectToString(value) { return nativeObjectToString.call(value); } /** * A specialized version of `baseRest` which transforms the rest array. * * @private * @param {Function} func The function to apply a rest parameter to. * @param {number} [start=func.length-1] The start position of the rest parameter. * @param {Function} transform The rest array transform. * @returns {Function} Returns the new function. */ function overRest(func, start, transform) { start = nativeMax(start === undefined ? (func.length - 1) : start, 0); return function() { var args = arguments, index = -1, length = nativeMax(args.length - start, 0), array = Array(length); while (++index < length) { array[index] = args[start + index]; } index = -1; var otherArgs = Array(start + 1); while (++index < start) { otherArgs[index] = args[index]; } otherArgs[start] = transform(array); return apply(func, this, otherArgs); }; } /** * Gets the value at `key`, unless `key` is "__proto__" or "constructor". * * @private * @param {Object} object The object to query. * @param {string} key The key of the property to get. * @returns {*} Returns the property value. */ function safeGet(object, key) { if (key === 'constructor' && typeof object[key] === 'function') { return; } if (key == '__proto__') { return; } return object[key]; } /** * Sets the `toString` method of `func` to return `string`. * * @private * @param {Function} func The function to modify. * @param {Function} string The `toString` result. * @returns {Function} Returns `func`. */ var setToString = shortOut(baseSetToString); /** * Creates a function that'll short out and invoke `identity` instead * of `func` when it's called `HOT_COUNT` or more times in `HOT_SPAN` * milliseconds. * * @private * @param {Function} func The function to restrict. * @returns {Function} Returns the new shortable function. */ function shortOut(func) { var count = 0, lastCalled = 0; return function() { var stamp = nativeNow(), remaining = HOT_SPAN - (stamp - lastCalled); lastCalled = stamp; if (remaining > 0) { if (++count >= HOT_COUNT) { return arguments[0]; } } else { count = 0; } return func.apply(undefined, arguments); }; } /** * Converts `func` to its source code. * * @private * @param {Function} func The function to convert. * @returns {string} Returns the source code. */ function toSource(func) { if (func != null) { try { return funcToString.call(func); } catch (e) {} try { return (func + ''); } catch (e) {} } return ''; } /** * Performs a * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero) * comparison between two values to determine if they are equivalent. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to compare. * @param {*} other The other value to compare. * @returns {boolean} Returns `true` if the values are equivalent, else `false`. * @example * * var object = { 'a': 1 }; * var other = { 'a': 1 }; * * _.eq(object, object); * // => true * * _.eq(object, other); * // => false * * _.eq('a', 'a'); * // => true * * _.eq('a', Object('a')); * // => false * * _.eq(NaN, NaN); * // => true */ function eq(value, other) { return value === other || (value !== value && other !== other); } /** * Checks if `value` is likely an `arguments` object. * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an `arguments` object, * else `false`. * @example * * _.isArguments(function() { return arguments; }()); * // => true * * _.isArguments([1, 2, 3]); * // => false */ var isArguments = baseIsArguments(function() { return arguments; }()) ? baseIsArguments : function(value) { return isObjectLike(value) && hasOwnProperty.call(value, 'callee') && !propertyIsEnumerable.call(value, 'callee'); }; /** * Checks if `value` is classified as an `Array` object. * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an array, else `false`. * @example * * _.isArray([1, 2, 3]); * // => true * * _.isArray(document.body.children); * // => false * * _.isArray('abc'); * // => false * * _.isArray(_.noop); * // => false */ var isArray = Array.isArray; /** * Checks if `value` is array-like. A value is considered array-like if it's * not a function and has a `value.length` that's an integer greater than or * equal to `0` and less than or equal to `Number.MAX_SAFE_INTEGER`. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is array-like, else `false`. * @example * * _.isArrayLike([1, 2, 3]); * // => true * * _.isArrayLike(document.body.children); * // => true * * _.isArrayLike('abc'); * // => true * * _.isArrayLike(_.noop); * // => false */ function isArrayLike(value) { return value != null && isLength(value.length) && !isFunction(value); } /** * This method is like `_.isArrayLike` except that it also checks if `value` * is an object. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an array-like object, * else `false`. * @example * * _.isArrayLikeObject([1, 2, 3]); * // => true * * _.isArrayLikeObject(document.body.children); * // => true * * _.isArrayLikeObject('abc'); * // => false * * _.isArrayLikeObject(_.noop); * // => false */ function isArrayLikeObject(value) { return isObjectLike(value) && isArrayLike(value); } /** * Checks if `value` is a buffer. * * @static * @memberOf _ * @since 4.3.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a buffer, else `false`. * @example * * _.isBuffer(new Buffer(2)); * // => true * * _.isBuffer(new Uint8Array(2)); * // => false */ var isBuffer = nativeIsBuffer || stubFalse; /** * Checks if `value` is classified as a `Function` object. * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a function, else `false`. * @example * * _.isFunction(_); * // => true * * _.isFunction(/abc/); * // => false */ function isFunction(value) { if (!isObject(value)) { return false; } // The use of `Object#toString` avoids issues with the `typeof` operator // in Safari 9 which returns 'object' for typed arrays and other constructors. var tag = baseGetTag(value); return tag == funcTag || tag == genTag || tag == asyncTag || tag == proxyTag; } /** * Checks if `value` is a valid array-like length. * * **Note:** This method is loosely based on * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength). * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a valid length, else `false`. * @example * * _.isLength(3); * // => true * * _.isLength(Number.MIN_VALUE); * // => false * * _.isLength(Infinity); * // => false * * _.isLength('3'); * // => false */ function isLength(value) { return typeof value == 'number' && value > -1 && value % 1 == 0 && value <= MAX_SAFE_INTEGER; } /** * Checks if `value` is the * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types) * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`) * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an object, else `false`. * @example * * _.isObject({}); * // => true * * _.isObject([1, 2, 3]); * // => true * * _.isObject(_.noop); * // => true * * _.isObject(null); * // => false */ function isObject(value) { var type = typeof value; return value != null && (type == 'object' || type == 'function'); } /** * Checks if `value` is object-like. A value is object-like if it's not `null` * and has a `typeof` result of "object". * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is object-like, else `false`. * @example * * _.isObjectLike({}); * // => true * * _.isObjectLike([1, 2, 3]); * // => true * * _.isObjectLike(_.noop); * // => false * * _.isObjectLike(null); * // => false */ function isObjectLike(value) { return value != null && typeof value == 'object'; } /** * Checks if `value` is a plain object, that is, an object created by the * `Object` constructor or one with a `[[Prototype]]` of `null`. * * @static * @memberOf _ * @since 0.8.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a plain object, else `false`. * @example * * function Foo() { * this.a = 1; * } * * _.isPlainObject(new Foo); * // => false * * _.isPlainObject([1, 2, 3]); * // => false * * _.isPlainObject({ 'x': 0, 'y': 0 }); * // => true * * _.isPlainObject(Object.create(null)); * // => true */ function isPlainObject(value) { if (!isObjectLike(value) || baseGetTag(value) != objectTag) { return false; } var proto = getPrototype(value); if (proto === null) { return true; } var Ctor = hasOwnProperty.call(proto, 'constructor') && proto.constructor; return typeof Ctor == 'function' && Ctor instanceof Ctor && funcToString.call(Ctor) == objectCtorString; } /** * Checks if `value` is classified as a typed array. * * @static * @memberOf _ * @since 3.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a typed array, else `false`. * @example * * _.isTypedArray(new Uint8Array); * // => true * * _.isTypedArray([]); * // => false */ var isTypedArray = nodeIsTypedArray ? baseUnary(nodeIsTypedArray) : baseIsTypedArray; /** * Converts `value` to a plain object flattening inherited enumerable string * keyed properties of `value` to own properties of the plain object. * * @static * @memberOf _ * @since 3.0.0 * @category Lang * @param {*} value The value to convert. * @returns {Object} Returns the converted plain object. * @example * * function Foo() { * this.b = 2; * } * * Foo.prototype.c = 3; * * _.assign({ 'a': 1 }, new Foo); * // => { 'a': 1, 'b': 2 } * * _.assign({ 'a': 1 }, _.toPlainObject(new Foo)); * // => { 'a': 1, 'b': 2, 'c': 3 } */ function toPlainObject(value) { return copyObject(value, keysIn(value)); } /** * This method is like `_.defaults` except that it recursively assigns * default properties. * * **Note:** This method mutates `object`. * * @static * @memberOf _ * @since 3.10.0 * @category Object * @param {Object} object The destination object. * @param {...Object} [sources] The source objects. * @returns {Object} Returns `object`. * @see _.defaults * @example * * _.defaultsDeep({ 'a': { 'b': 2 } }, { 'a': { 'b': 1, 'c': 3 } }); * // => { 'a': { 'b': 2, 'c': 3 } } */ var defaultsDeep = baseRest(function(args) { args.push(undefined, customDefaultsMerge); return apply(mergeWith, undefined, args); }); /** * Creates an array of the own and inherited enumerable property names of `object`. * * **Note:** Non-object values are coerced to objects. * * @static * @memberOf _ * @since 3.0.0 * @category Object * @param {Object} object The object to query. * @returns {Array} Returns the array of property names. * @example * * function Foo() { * this.a = 1; * this.b = 2; * } * * Foo.prototype.c = 3; * * _.keysIn(new Foo); * // => ['a', 'b', 'c'] (iteration order is not guaranteed) */ function keysIn(object) { return isArrayLike(object) ? arrayLikeKeys(object, true) : baseKeysIn(object); } /** * This method is like `_.merge` except that it accepts `customizer` which * is invoked to produce the merged values of the destination and source * properties. If `customizer` returns `undefined`, merging is handled by the * method instead. The `customizer` is invoked with six arguments: * (objValue, srcValue, key, object, source, stack). * * **Note:** This method mutates `object`. * * @static * @memberOf _ * @since 4.0.0 * @category Object * @param {Object} object The destination object. * @param {...Object} sources The source objects. * @param {Function} customizer The function to customize assigned values. * @returns {Object} Returns `object`. * @example * * function customizer(objValue, srcValue) { * if (_.isArray(objValue)) { * return objValue.concat(srcValue); * } * } * * var object = { 'a': [1], 'b': [2] }; * var other = { 'a': [3], 'b': [4] }; * * _.mergeWith(object, other, customizer); * // => { 'a': [1, 3], 'b': [2, 4] } */ var mergeWith = createAssigner(function(object, source, srcIndex, customizer) { baseMerge(object, source, srcIndex, customizer); }); /** * Creates a function that returns `value`. * * @static * @memberOf _ * @since 2.4.0 * @category Util * @param {*} value The value to return from the new function. * @returns {Function} Returns the new constant function. * @example * * var objects = _.times(2, _.constant({ 'a': 1 })); * * console.log(objects); * // => [{ 'a': 1 }, { 'a': 1 }] * * console.log(objects[0] === objects[1]); * // => true */ function constant(value) { return function() { return value; }; } /** * This method returns the first argument it receives. * * @static * @since 0.1.0 * @memberOf _ * @category Util * @param {*} value Any value. * @returns {*} Returns `value`. * @example * * var object = { 'a': 1 }; * * console.log(_.identity(object) === object); * // => true */ function identity(value) { return value; } /** * This method returns `false`. * * @static * @memberOf _ * @since 4.13.0 * @category Util * @returns {boolean} Returns `false`. * @example * * _.times(2, _.stubFalse); * // => [false, false] */ function stubFalse() { return false; } module.exports = defaultsDeep; /* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(/*! ./../webpack/buildin/global.js */ "./node_modules/webpack/buildin/global.js"), __webpack_require__(/*! ./../webpack/buildin/module.js */ "./node_modules/webpack/buildin/module.js")(module))) /***/ }), /***/ "./node_modules/lodash.omit/index.js": /*!*******************************************!*\ !*** ./node_modules/lodash.omit/index.js ***! \*******************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { /* WEBPACK VAR INJECTION */(function(global) {/** * lodash (Custom Build) * Build: `lodash modularize exports="npm" -o ./` * Copyright jQuery Foundation and other contributors * Released under MIT license * Based on Underscore.js 1.8.3 * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors */ /** Used as the size to enable large array optimizations. */ var LARGE_ARRAY_SIZE = 200; /** Used to stand-in for `undefined` hash values. */ var HASH_UNDEFINED = '__lodash_hash_undefined__'; /** Used as references for various `Number` constants. */ var INFINITY = 1 / 0, MAX_SAFE_INTEGER = 9007199254740991; /** `Object#toString` result references. */ var argsTag = '[object Arguments]', funcTag = '[object Function]', genTag = '[object GeneratorFunction]', symbolTag = '[object Symbol]'; /** * Used to match `RegExp` * [syntax characters](http://ecma-international.org/ecma-262/7.0/#sec-patterns). */ var reRegExpChar = /[\\^$.*+?()[\]{}|]/g; /** Used to detect host constructors (Safari). */ var reIsHostCtor = /^\[object .+?Constructor\]$/; /** Used to detect unsigned integer values. */ var reIsUint = /^(?:0|[1-9]\d*)$/; /** Detect free variable `global` from Node.js. */ var freeGlobal = typeof global == 'object' && global && global.Object === Object && global; /** Detect free variable `self`. */ var freeSelf = typeof self == 'object' && self && self.Object === Object && self; /** Used as a reference to the global object. */ var root = freeGlobal || freeSelf || Function('return this')(); /** * A faster alternative to `Function#apply`, this function invokes `func` * with the `this` binding of `thisArg` and the arguments of `args`. * * @private * @param {Function} func The function to invoke. * @param {*} thisArg The `this` binding of `func`. * @param {Array} args The arguments to invoke `func` with. * @returns {*} Returns the result of `func`. */ function apply(func, thisArg, args) { switch (args.length) { case 0: return func.call(thisArg); case 1: return func.call(thisArg, args[0]); case 2: return func.call(thisArg, args[0], args[1]); case 3: return func.call(thisArg, args[0], args[1], args[2]); } return func.apply(thisArg, args); } /** * A specialized version of `_.includes` for arrays without support for * specifying an index to search from. * * @private * @param {Array} [array] The array to inspect. * @param {*} target The value to search for. * @returns {boolean} Returns `true` if `target` is found, else `false`. */ function arrayIncludes(array, value) { var length = array ? array.length : 0; return !!length && baseIndexOf(array, value, 0) > -1; } /** * This function is like `arrayIncludes` except that it accepts a comparator. * * @private * @param {Array} [array] The array to inspect. * @param {*} target The value to search for. * @param {Function} comparator The comparator invoked per element. * @returns {boolean} Returns `true` if `target` is found, else `false`. */ function arrayIncludesWith(array, value, comparator) { var index = -1, length = array ? array.length : 0; while (++index < length) { if (comparator(value, array[index])) { return true; } } return false; } /** * A specialized version of `_.map` for arrays without support for iteratee * shorthands. * * @private * @param {Array} [array] The array to iterate over. * @param {Function} iteratee The function invoked per iteration. * @returns {Array} Returns the new mapped array. */ function arrayMap(array, iteratee) { var index = -1, length = array ? array.length : 0, result = Array(length); while (++index < length) { result[index] = iteratee(array[index], index, array); } return result; } /** * Appends the elements of `values` to `array`. * * @private * @param {Array} array The array to modify. * @param {Array} values The values to append. * @returns {Array} Returns `array`. */ function arrayPush(array, values) { var index = -1, length = values.length, offset = array.length; while (++index < length) { array[offset + index] = values[index]; } return array; } /** * The base implementation of `_.findIndex` and `_.findLastIndex` without * support for iteratee shorthands. * * @private * @param {Array} array The array to inspect. * @param {Function} predicate The function invoked per iteration. * @param {number} fromIndex The index to search from. * @param {boolean} [fromRight] Specify iterating from right to left. * @returns {number} Returns the index of the matched value, else `-1`. */ function baseFindIndex(array, predicate, fromIndex, fromRight) { var length = array.length, index = fromIndex + (fromRight ? 1 : -1); while ((fromRight ? index-- : ++index < length)) { if (predicate(array[index], index, array)) { return index; } } return -1; } /** * The base implementation of `_.indexOf` without `fromIndex` bounds checks. * * @private * @param {Array} array The array to inspect. * @param {*} value The value to search for. * @param {number} fromIndex The index to search from. * @returns {number} Returns the index of the matched value, else `-1`. */ function baseIndexOf(array, value, fromIndex) { if (value !== value) { return baseFindIndex(array, baseIsNaN, fromIndex); } var index = fromIndex - 1, length = array.length; while (++index < length) { if (array[index] === value) { return index; } } return -1; } /** * The base implementation of `_.isNaN` without support for number objects. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is `NaN`, else `false`. */ function baseIsNaN(value) { return value !== value; } /** * The base implementation of `_.times` without support for iteratee shorthands * or max array length checks. * * @private * @param {number} n The number of times to invoke `iteratee`. * @param {Function} iteratee The function invoked per iteration. * @returns {Array} Returns the array of results. */ function baseTimes(n, iteratee) { var index = -1, result = Array(n); while (++index < n) { result[index] = iteratee(index); } return result; } /** * The base implementation of `_.unary` without support for storing metadata. * * @private * @param {Function} func The function to cap arguments for. * @returns {Function} Returns the new capped function. */ function baseUnary(func) { return function(value) { return func(value); }; } /** * Checks if a cache value for `key` exists. * * @private * @param {Object} cache The cache to query. * @param {string} key The key of the entry to check. * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. */ function cacheHas(cache, key) { return cache.has(key); } /** * Gets the value at `key` of `object`. * * @private * @param {Object} [object] The object to query. * @param {string} key The key of the property to get. * @returns {*} Returns the property value. */ function getValue(object, key) { return object == null ? undefined : object[key]; } /** * Checks if `value` is a host object in IE < 9. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a host object, else `false`. */ function isHostObject(value) { // Many host objects are `Object` objects that can coerce to strings // despite having improperly defined `toString` methods. var result = false; if (value != null && typeof value.toString != 'function') { try { result = !!(value + ''); } catch (e) {} } return result; } /** * Creates a unary function that invokes `func` with its argument transformed. * * @private * @param {Function} func The function to wrap. * @param {Function} transform The argument transform. * @returns {Function} Returns the new function. */ function overArg(func, transform) { return function(arg) { return func(transform(arg)); }; } /** Used for built-in method references. */ var arrayProto = Array.prototype, funcProto = Function.prototype, objectProto = Object.prototype; /** Used to detect overreaching core-js shims. */ var coreJsData = root['__core-js_shared__']; /** Used to detect methods masquerading as native. */ var maskSrcKey = (function() { var uid = /[^.]+$/.exec(coreJsData && coreJsData.keys && coreJsData.keys.IE_PROTO || ''); return uid ? ('Symbol(src)_1.' + uid) : ''; }()); /** Used to resolve the decompiled source of functions. */ var funcToString = funcProto.toString; /** Used to check objects for own properties. */ var hasOwnProperty = objectProto.hasOwnProperty; /** * Used to resolve the * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring) * of values. */ var objectToString = objectProto.toString; /** Used to detect if a method is native. */ var reIsNative = RegExp('^' + funcToString.call(hasOwnProperty).replace(reRegExpChar, '\\$&') .replace(/hasOwnProperty|(function).*?(?=\\\()| for .+?(?=\\\])/g, '$1.*?') + '$' ); /** Built-in value references. */ var Symbol = root.Symbol, getPrototype = overArg(Object.getPrototypeOf, Object), propertyIsEnumerable = objectProto.propertyIsEnumerable, splice = arrayProto.splice, spreadableSymbol = Symbol ? Symbol.isConcatSpreadable : undefined; /* Built-in method references for those with the same name as other `lodash` methods. */ var nativeGetSymbols = Object.getOwnPropertySymbols, nativeMax = Math.max; /* Built-in method references that are verified to be native. */ var Map = getNative(root, 'Map'), nativeCreate = getNative(Object, 'create'); /** * Creates a hash object. * * @private * @constructor * @param {Array} [entries] The key-value pairs to cache. */ function Hash(entries) { var index = -1, length = entries ? entries.length : 0; this.clear(); while (++index < length) { var entry = entries[index]; this.set(entry[0], entry[1]); } } /** * Removes all key-value entries from the hash. * * @private * @name clear * @memberOf Hash */ function hashClear() { this.__data__ = nativeCreate ? nativeCreate(null) : {}; } /** * Removes `key` and its value from the hash. * * @private * @name delete * @memberOf Hash * @param {Object} hash The hash to modify. * @param {string} key The key of the value to remove. * @returns {boolean} Returns `true` if the entry was removed, else `false`. */ function hashDelete(key) { return this.has(key) && delete this.__data__[key]; } /** * Gets the hash value for `key`. * * @private * @name get * @memberOf Hash * @param {string} key The key of the value to get. * @returns {*} Returns the entry value. */ function hashGet(key) { var data = this.__data__; if (nativeCreate) { var result = data[key]; return result === HASH_UNDEFINED ? undefined : result; } return hasOwnProperty.call(data, key) ? data[key] : undefined; } /** * Checks if a hash value for `key` exists. * * @private * @name has * @memberOf Hash * @param {string} key The key of the entry to check. * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. */ function hashHas(key) { var data = this.__data__; return nativeCreate ? data[key] !== undefined : hasOwnProperty.call(data, key); } /** * Sets the hash `key` to `value`. * * @private * @name set * @memberOf Hash * @param {string} key The key of the value to set. * @param {*} value The value to set. * @returns {Object} Returns the hash instance. */ function hashSet(key, value) { var data = this.__data__; data[key] = (nativeCreate && value === undefined) ? HASH_UNDEFINED : value; return this; } // Add methods to `Hash`. Hash.prototype.clear = hashClear; Hash.prototype['delete'] = hashDelete; Hash.prototype.get = hashGet; Hash.prototype.has = hashHas; Hash.prototype.set = hashSet; /** * Creates an list cache object. * * @private * @constructor * @param {Array} [entries] The key-value pairs to cache. */ function ListCache(entries) { var index = -1, length = entries ? entries.length : 0; this.clear(); while (++index < length) { var entry = entries[index]; this.set(entry[0], entry[1]); } } /** * Removes all key-value entries from the list cache. * * @private * @name clear * @memberOf ListCache */ function listCacheClear() { this.__data__ = []; } /** * Removes `key` and its value from the list cache. * * @private * @name delete * @memberOf ListCache * @param {string} key The key of the value to remove. * @returns {boolean} Returns `true` if the entry was removed, else `false`. */ function listCacheDelete(key) { var data = this.__data__, index = assocIndexOf(data, key); if (index < 0) { return false; } var lastIndex = data.length - 1; if (index == lastIndex) { data.pop(); } else { splice.call(data, index, 1); } return true; } /** * Gets the list cache value for `key`. * * @private * @name get * @memberOf ListCache * @param {string} key The key of the value to get. * @returns {*} Returns the entry value. */ function listCacheGet(key) { var data = this.__data__, index = assocIndexOf(data, key); return index < 0 ? undefined : data[index][1]; } /** * Checks if a list cache value for `key` exists. * * @private * @name has * @memberOf ListCache * @param {string} key The key of the entry to check. * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. */ function listCacheHas(key) { return assocIndexOf(this.__data__, key) > -1; } /** * Sets the list cache `key` to `value`. * * @private * @name set * @memberOf ListCache * @param {string} key The key of the value to set. * @param {*} value The value to set. * @returns {Object} Returns the list cache instance. */ function listCacheSet(key, value) { var data = this.__data__, index = assocIndexOf(data, key); if (index < 0) { data.push([key, value]); } else { data[index][1] = value; } return this; } // Add methods to `ListCache`. ListCache.prototype.clear = listCacheClear; ListCache.prototype['delete'] = listCacheDelete; ListCache.prototype.get = listCacheGet; ListCache.prototype.has = listCacheHas; ListCache.prototype.set = listCacheSet; /** * Creates a map cache object to store key-value pairs. * * @private * @constructor * @param {Array} [entries] The key-value pairs to cache. */ function MapCache(entries) { var index = -1, length = entries ? entries.length : 0; this.clear(); while (++index < length) { var entry = entries[index]; this.set(entry[0], entry[1]); } } /** * Removes all key-value entries from the map. * * @private * @name clear * @memberOf MapCache */ function mapCacheClear() { this.__data__ = { 'hash': new Hash, 'map': new (Map || ListCache), 'string': new Hash }; } /** * Removes `key` and its value from the map. * * @private * @name delete * @memberOf MapCache * @param {string} key The key of the value to remove. * @returns {boolean} Returns `true` if the entry was removed, else `false`. */ function mapCacheDelete(key) { return getMapData(this, key)['delete'](key); } /** * Gets the map value for `key`. * * @private * @name get * @memberOf MapCache * @param {string} key The key of the value to get. * @returns {*} Returns the entry value. */ function mapCacheGet(key) { return getMapData(this, key).get(key); } /** * Checks if a map value for `key` exists. * * @private * @name has * @memberOf MapCache * @param {string} key The key of the entry to check. * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`. */ function mapCacheHas(key) { return getMapData(this, key).has(key); } /** * Sets the map `key` to `value`. * * @private * @name set * @memberOf MapCache * @param {string} key The key of the value to set. * @param {*} value The value to set. * @returns {Object} Returns the map cache instance. */ function mapCacheSet(key, value) { getMapData(this, key).set(key, value); return this; } // Add methods to `MapCache`. MapCache.prototype.clear = mapCacheClear; MapCache.prototype['delete'] = mapCacheDelete; MapCache.prototype.get = mapCacheGet; MapCache.prototype.has = mapCacheHas; MapCache.prototype.set = mapCacheSet; /** * * Creates an array cache object to store unique values. * * @private * @constructor * @param {Array} [values] The values to cache. */ function SetCache(values) { var index = -1, length = values ? values.length : 0; this.__data__ = new MapCache; while (++index < length) { this.add(values[index]); } } /** * Adds `value` to the array cache. * * @private * @name add * @memberOf SetCache * @alias push * @param {*} value The value to cache. * @returns {Object} Returns the cache instance. */ function setCacheAdd(value) { this.__data__.set(value, HASH_UNDEFINED); return this; } /** * Checks if `value` is in the array cache. * * @private * @name has * @memberOf SetCache * @param {*} value The value to search for. * @returns {number} Returns `true` if `value` is found, else `false`. */ function setCacheHas(value) { return this.__data__.has(value); } // Add methods to `SetCache`. SetCache.prototype.add = SetCache.prototype.push = setCacheAdd; SetCache.prototype.has = setCacheHas; /** * Creates an array of the enumerable property names of the array-like `value`. * * @private * @param {*} value The value to query. * @param {boolean} inherited Specify returning inherited property names. * @returns {Array} Returns the array of property names. */ function arrayLikeKeys(value, inherited) { // Safari 8.1 makes `arguments.callee` enumerable in strict mode. // Safari 9 makes `arguments.length` enumerable in strict mode. var result = (isArray(value) || isArguments(value)) ? baseTimes(value.length, String) : []; var length = result.length, skipIndexes = !!length; for (var key in value) { if ((inherited || hasOwnProperty.call(value, key)) && !(skipIndexes && (key == 'length' || isIndex(key, length)))) { result.push(key); } } return result; } /** * Gets the index at which the `key` is found in `array` of key-value pairs. * * @private * @param {Array} array The array to inspect. * @param {*} key The key to search for. * @returns {number} Returns the index of the matched value, else `-1`. */ function assocIndexOf(array, key) { var length = array.length; while (length--) { if (eq(array[length][0], key)) { return length; } } return -1; } /** * The base implementation of methods like `_.difference` without support * for excluding multiple arrays or iteratee shorthands. * * @private * @param {Array} array The array to inspect. * @param {Array} values The values to exclude. * @param {Function} [iteratee] The iteratee invoked per element. * @param {Function} [comparator] The comparator invoked per element. * @returns {Array} Returns the new array of filtered values. */ function baseDifference(array, values, iteratee, comparator) { var index = -1, includes = arrayIncludes, isCommon = true, length = array.length, result = [], valuesLength = values.length; if (!length) { return result; } if (iteratee) { values = arrayMap(values, baseUnary(iteratee)); } if (comparator) { includes = arrayIncludesWith; isCommon = false; } else if (values.length >= LARGE_ARRAY_SIZE) { includes = cacheHas; isCommon = false; values = new SetCache(values); } outer: while (++index < length) { var value = array[index], computed = iteratee ? iteratee(value) : value; value = (comparator || value !== 0) ? value : 0; if (isCommon && computed === computed) { var valuesIndex = valuesLength; while (valuesIndex--) { if (values[valuesIndex] === computed) { continue outer; } } result.push(value); } else if (!includes(values, computed, comparator)) { result.push(value); } } return result; } /** * The base implementation of `_.flatten` with support for restricting flattening. * * @private * @param {Array} array The array to flatten. * @param {number} depth The maximum recursion depth. * @param {boolean} [predicate=isFlattenable] The function invoked per iteration. * @param {boolean} [isStrict] Restrict to values that pass `predicate` checks. * @param {Array} [result=[]] The initial result value. * @returns {Array} Returns the new flattened array. */ function baseFlatten(array, depth, predicate, isStrict, result) { var index = -1, length = array.length; predicate || (predicate = isFlattenable); result || (result = []); while (++index < length) { var value = array[index]; if (depth > 0 && predicate(value)) { if (depth > 1) { // Recursively flatten arrays (susceptible to call stack limits). baseFlatten(value, depth - 1, predicate, isStrict, result); } else { arrayPush(result, value); } } else if (!isStrict) { result[result.length] = value; } } return result; } /** * The base implementation of `getAllKeys` and `getAllKeysIn` which uses * `keysFunc` and `symbolsFunc` to get the enumerable property names and * symbols of `object`. * * @private * @param {Object} object The object to query. * @param {Function} keysFunc The function to get the keys of `object`. * @param {Function} symbolsFunc The function to get the symbols of `object`. * @returns {Array} Returns the array of property names and symbols. */ function baseGetAllKeys(object, keysFunc, symbolsFunc) { var result = keysFunc(object); return isArray(object) ? result : arrayPush(result, symbolsFunc(object)); } /** * The base implementation of `_.isNative` without bad shim checks. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a native function, * else `false`. */ function baseIsNative(value) { if (!isObject(value) || isMasked(value)) { return false; } var pattern = (isFunction(value) || isHostObject(value)) ? reIsNative : reIsHostCtor; return pattern.test(toSource(value)); } /** * The base implementation of `_.keysIn` which doesn't treat sparse arrays as dense. * * @private * @param {Object} object The object to query. * @returns {Array} Returns the array of property names. */ function baseKeysIn(object) { if (!isObject(object)) { return nativeKeysIn(object); } var isProto = isPrototype(object), result = []; for (var key in object) { if (!(key == 'constructor' && (isProto || !hasOwnProperty.call(object, key)))) { result.push(key); } } return result; } /** * The base implementation of `_.pick` without support for individual * property identifiers. * * @private * @param {Object} object The source object. * @param {string[]} props The property identifiers to pick. * @returns {Object} Returns the new object. */ function basePick(object, props) { object = Object(object); return basePickBy(object, props, function(value, key) { return key in object; }); } /** * The base implementation of `_.pickBy` without support for iteratee shorthands. * * @private * @param {Object} object The source object. * @param {string[]} props The property identifiers to pick from. * @param {Function} predicate The function invoked per property. * @returns {Object} Returns the new object. */ function basePickBy(object, props, predicate) { var index = -1, length = props.length, result = {}; while (++index < length) { var key = props[index], value = object[key]; if (predicate(value, key)) { result[key] = value; } } return result; } /** * The base implementation of `_.rest` which doesn't validate or coerce arguments. * * @private * @param {Function} func The function to apply a rest parameter to. * @param {number} [start=func.length-1] The start position of the rest parameter. * @returns {Function} Returns the new function. */ function baseRest(func, start) { start = nativeMax(start === undefined ? (func.length - 1) : start, 0); return function() { var args = arguments, index = -1, length = nativeMax(args.length - start, 0), array = Array(length); while (++index < length) { array[index] = args[start + index]; } index = -1; var otherArgs = Array(start + 1); while (++index < start) { otherArgs[index] = args[index]; } otherArgs[start] = array; return apply(func, this, otherArgs); }; } /** * Creates an array of own and inherited enumerable property names and * symbols of `object`. * * @private * @param {Object} object The object to query. * @returns {Array} Returns the array of property names and symbols. */ function getAllKeysIn(object) { return baseGetAllKeys(object, keysIn, getSymbolsIn); } /** * Gets the data for `map`. * * @private * @param {Object} map The map to query. * @param {string} key The reference key. * @returns {*} Returns the map data. */ function getMapData(map, key) { var data = map.__data__; return isKeyable(key) ? data[typeof key == 'string' ? 'string' : 'hash'] : data.map; } /** * Gets the native function at `key` of `object`. * * @private * @param {Object} object The object to query. * @param {string} key The key of the method to get. * @returns {*} Returns the function if it's native, else `undefined`. */ function getNative(object, key) { var value = getValue(object, key); return baseIsNative(value) ? value : undefined; } /** * Creates an array of the own enumerable symbol properties of `object`. * * @private * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ var getSymbols = nativeGetSymbols ? overArg(nativeGetSymbols, Object) : stubArray; /** * Creates an array of the own and inherited enumerable symbol properties * of `object`. * * @private * @param {Object} object The object to query. * @returns {Array} Returns the array of symbols. */ var getSymbolsIn = !nativeGetSymbols ? stubArray : function(object) { var result = []; while (object) { arrayPush(result, getSymbols(object)); object = getPrototype(object); } return result; }; /** * Checks if `value` is a flattenable `arguments` object or array. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is flattenable, else `false`. */ function isFlattenable(value) { return isArray(value) || isArguments(value) || !!(spreadableSymbol && value && value[spreadableSymbol]); } /** * Checks if `value` is a valid array-like index. * * @private * @param {*} value The value to check. * @param {number} [length=MAX_SAFE_INTEGER] The upper bounds of a valid index. * @returns {boolean} Returns `true` if `value` is a valid index, else `false`. */ function isIndex(value, length) { length = length == null ? MAX_SAFE_INTEGER : length; return !!length && (typeof value == 'number' || reIsUint.test(value)) && (value > -1 && value % 1 == 0 && value < length); } /** * Checks if `value` is suitable for use as unique object key. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is suitable, else `false`. */ function isKeyable(value) { var type = typeof value; return (type == 'string' || type == 'number' || type == 'symbol' || type == 'boolean') ? (value !== '__proto__') : (value === null); } /** * Checks if `func` has its source masked. * * @private * @param {Function} func The function to check. * @returns {boolean} Returns `true` if `func` is masked, else `false`. */ function isMasked(func) { return !!maskSrcKey && (maskSrcKey in func); } /** * Checks if `value` is likely a prototype object. * * @private * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a prototype, else `false`. */ function isPrototype(value) { var Ctor = value && value.constructor, proto = (typeof Ctor == 'function' && Ctor.prototype) || objectProto; return value === proto; } /** * This function is like * [`Object.keys`](http://ecma-international.org/ecma-262/7.0/#sec-object.keys) * except that it includes inherited enumerable properties. * * @private * @param {Object} object The object to query. * @returns {Array} Returns the array of property names. */ function nativeKeysIn(object) { var result = []; if (object != null) { for (var key in Object(object)) { result.push(key); } } return result; } /** * Converts `value` to a string key if it's not a string or symbol. * * @private * @param {*} value The value to inspect. * @returns {string|symbol} Returns the key. */ function toKey(value) { if (typeof value == 'string' || isSymbol(value)) { return value; } var result = (value + ''); return (result == '0' && (1 / value) == -INFINITY) ? '-0' : result; } /** * Converts `func` to its source code. * * @private * @param {Function} func The function to process. * @returns {string} Returns the source code. */ function toSource(func) { if (func != null) { try { return funcToString.call(func); } catch (e) {} try { return (func + ''); } catch (e) {} } return ''; } /** * Performs a * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero) * comparison between two values to determine if they are equivalent. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to compare. * @param {*} other The other value to compare. * @returns {boolean} Returns `true` if the values are equivalent, else `false`. * @example * * var object = { 'a': 1 }; * var other = { 'a': 1 }; * * _.eq(object, object); * // => true * * _.eq(object, other); * // => false * * _.eq('a', 'a'); * // => true * * _.eq('a', Object('a')); * // => false * * _.eq(NaN, NaN); * // => true */ function eq(value, other) { return value === other || (value !== value && other !== other); } /** * Checks if `value` is likely an `arguments` object. * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an `arguments` object, * else `false`. * @example * * _.isArguments(function() { return arguments; }()); * // => true * * _.isArguments([1, 2, 3]); * // => false */ function isArguments(value) { // Safari 8.1 makes `arguments.callee` enumerable in strict mode. return isArrayLikeObject(value) && hasOwnProperty.call(value, 'callee') && (!propertyIsEnumerable.call(value, 'callee') || objectToString.call(value) == argsTag); } /** * Checks if `value` is classified as an `Array` object. * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an array, else `false`. * @example * * _.isArray([1, 2, 3]); * // => true * * _.isArray(document.body.children); * // => false * * _.isArray('abc'); * // => false * * _.isArray(_.noop); * // => false */ var isArray = Array.isArray; /** * Checks if `value` is array-like. A value is considered array-like if it's * not a function and has a `value.length` that's an integer greater than or * equal to `0` and less than or equal to `Number.MAX_SAFE_INTEGER`. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is array-like, else `false`. * @example * * _.isArrayLike([1, 2, 3]); * // => true * * _.isArrayLike(document.body.children); * // => true * * _.isArrayLike('abc'); * // => true * * _.isArrayLike(_.noop); * // => false */ function isArrayLike(value) { return value != null && isLength(value.length) && !isFunction(value); } /** * This method is like `_.isArrayLike` except that it also checks if `value` * is an object. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an array-like object, * else `false`. * @example * * _.isArrayLikeObject([1, 2, 3]); * // => true * * _.isArrayLikeObject(document.body.children); * // => true * * _.isArrayLikeObject('abc'); * // => false * * _.isArrayLikeObject(_.noop); * // => false */ function isArrayLikeObject(value) { return isObjectLike(value) && isArrayLike(value); } /** * Checks if `value` is classified as a `Function` object. * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a function, else `false`. * @example * * _.isFunction(_); * // => true * * _.isFunction(/abc/); * // => false */ function isFunction(value) { // The use of `Object#toString` avoids issues with the `typeof` operator // in Safari 8-9 which returns 'object' for typed array and other constructors. var tag = isObject(value) ? objectToString.call(value) : ''; return tag == funcTag || tag == genTag; } /** * Checks if `value` is a valid array-like length. * * **Note:** This method is loosely based on * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength). * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a valid length, else `false`. * @example * * _.isLength(3); * // => true * * _.isLength(Number.MIN_VALUE); * // => false * * _.isLength(Infinity); * // => false * * _.isLength('3'); * // => false */ function isLength(value) { return typeof value == 'number' && value > -1 && value % 1 == 0 && value <= MAX_SAFE_INTEGER; } /** * Checks if `value` is the * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types) * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`) * * @static * @memberOf _ * @since 0.1.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an object, else `false`. * @example * * _.isObject({}); * // => true * * _.isObject([1, 2, 3]); * // => true * * _.isObject(_.noop); * // => true * * _.isObject(null); * // => false */ function isObject(value) { var type = typeof value; return !!value && (type == 'object' || type == 'function'); } /** * Checks if `value` is object-like. A value is object-like if it's not `null` * and has a `typeof` result of "object". * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is object-like, else `false`. * @example * * _.isObjectLike({}); * // => true * * _.isObjectLike([1, 2, 3]); * // => true * * _.isObjectLike(_.noop); * // => false * * _.isObjectLike(null); * // => false */ function isObjectLike(value) { return !!value && typeof value == 'object'; } /** * Checks if `value` is classified as a `Symbol` primitive or object. * * @static * @memberOf _ * @since 4.0.0 * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is a symbol, else `false`. * @example * * _.isSymbol(Symbol.iterator); * // => true * * _.isSymbol('abc'); * // => false */ function isSymbol(value) { return typeof value == 'symbol' || (isObjectLike(value) && objectToString.call(value) == symbolTag); } /** * Creates an array of the own and inherited enumerable property names of `object`. * * **Note:** Non-object values are coerced to objects. * * @static * @memberOf _ * @since 3.0.0 * @category Object * @param {Object} object The object to query. * @returns {Array} Returns the array of property names. * @example * * function Foo() { * this.a = 1; * this.b = 2; * } * * Foo.prototype.c = 3; * * _.keysIn(new Foo); * // => ['a', 'b', 'c'] (iteration order is not guaranteed) */ function keysIn(object) { return isArrayLike(object) ? arrayLikeKeys(object, true) : baseKeysIn(object); } /** * The opposite of `_.pick`; this method creates an object composed of the * own and inherited enumerable string keyed properties of `object` that are * not omitted. * * @static * @since 0.1.0 * @memberOf _ * @category Object * @param {Object} object The source object. * @param {...(string|string[])} [props] The property identifiers to omit. * @returns {Object} Returns the new object. * @example * * var object = { 'a': 1, 'b': '2', 'c': 3 }; * * _.omit(object, ['a', 'c']); * // => { 'b': '2' } */ var omit = baseRest(function(object, props) { if (object == null) { return {}; } props = arrayMap(baseFlatten(props, 1), toKey); return basePick(object, baseDifference(getAllKeysIn(object), props)); }); /** * This method returns a new empty array. * * @static * @memberOf _ * @since 4.13.0 * @category Util * @returns {Array} Returns the new empty array. * @example * * var arrays = _.times(2, _.stubArray); * * console.log(arrays); * // => [[], []] * * console.log(arrays[0] === arrays[1]); * // => false */ function stubArray() { return []; } module.exports = omit; /* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(/*! ./../webpack/buildin/global.js */ "./node_modules/webpack/buildin/global.js"))) /***/ }), /***/ "./node_modules/lodash.throttle/index.js": /*!***********************************************!*\ !*** ./node_modules/lodash.throttle/index.js ***! \***********************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { /** * lodash 3.0.4 (Custom Build) * Build: `lodash modern modularize exports="npm" -o ./` * Copyright 2012-2015 The Dojo Foundation * Based on Underscore.js 1.8.3 * Copyright 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors * Available under MIT license */ var debounce = __webpack_require__(/*! lodash.debounce */ "./node_modules/lodash.throttle/node_modules/lodash.debounce/index.js"); /** Used as the `TypeError` message for "Functions" methods. */ var FUNC_ERROR_TEXT = 'Expected a function'; /** * Creates a throttled function that only invokes `func` at most once per * every `wait` milliseconds. The throttled function comes with a `cancel` * method to cancel delayed invocations. Provide an options object to indicate * that `func` should be invoked on the leading and/or trailing edge of the * `wait` timeout. Subsequent calls to the throttled function return the * result of the last `func` call. * * **Note:** If `leading` and `trailing` options are `true`, `func` is invoked * on the trailing edge of the timeout only if the the throttled function is * invoked more than once during the `wait` timeout. * * See [David Corbacho's article](http://drupalmotion.com/article/debounce-and-throttle-visual-explanation) * for details over the differences between `_.throttle` and `_.debounce`. * * @static * @memberOf _ * @category Function * @param {Function} func The function to throttle. * @param {number} [wait=0] The number of milliseconds to throttle invocations to. * @param {Object} [options] The options object. * @param {boolean} [options.leading=true] Specify invoking on the leading * edge of the timeout. * @param {boolean} [options.trailing=true] Specify invoking on the trailing * edge of the timeout. * @returns {Function} Returns the new throttled function. * @example * * // avoid excessively updating the position while scrolling * jQuery(window).on('scroll', _.throttle(updatePosition, 100)); * * // invoke `renewToken` when the click event is fired, but not more than once every 5 minutes * jQuery('.interactive').on('click', _.throttle(renewToken, 300000, { * 'trailing': false * })); * * // cancel a trailing throttled call * jQuery(window).on('popstate', throttled.cancel); */ function throttle(func, wait, options) { var leading = true, trailing = true; if (typeof func != 'function') { throw new TypeError(FUNC_ERROR_TEXT); } if (options === false) { leading = false; } else if (isObject(options)) { leading = 'leading' in options ? !!options.leading : leading; trailing = 'trailing' in options ? !!options.trailing : trailing; } return debounce(func, wait, { 'leading': leading, 'maxWait': +wait, 'trailing': trailing }); } /** * Checks if `value` is the [language type](https://es5.github.io/#x8) of `Object`. * (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`) * * @static * @memberOf _ * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an object, else `false`. * @example * * _.isObject({}); * // => true * * _.isObject([1, 2, 3]); * // => true * * _.isObject(1); * // => false */ function isObject(value) { // Avoid a V8 JIT bug in Chrome 19-20. // See https://code.google.com/p/v8/issues/detail?id=2291 for more details. var type = typeof value; return !!value && (type == 'object' || type == 'function'); } module.exports = throttle; /***/ }), /***/ "./node_modules/lodash.throttle/node_modules/lodash.debounce/index.js": /*!****************************************************************************!*\ !*** ./node_modules/lodash.throttle/node_modules/lodash.debounce/index.js ***! \****************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { /** * lodash 3.1.1 (Custom Build) * Build: `lodash modern modularize exports="npm" -o ./` * Copyright 2012-2015 The Dojo Foundation * Based on Underscore.js 1.8.3 * Copyright 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors * Available under MIT license */ var getNative = __webpack_require__(/*! lodash._getnative */ "./node_modules/lodash._getnative/index.js"); /** Used as the `TypeError` message for "Functions" methods. */ var FUNC_ERROR_TEXT = 'Expected a function'; /* Native method references for those with the same name as other `lodash` methods. */ var nativeMax = Math.max, nativeNow = getNative(Date, 'now'); /** * Gets the number of milliseconds that have elapsed since the Unix epoch * (1 January 1970 00:00:00 UTC). * * @static * @memberOf _ * @category Date * @example * * _.defer(function(stamp) { * console.log(_.now() - stamp); * }, _.now()); * // => logs the number of milliseconds it took for the deferred function to be invoked */ var now = nativeNow || function() { return new Date().getTime(); }; /** * Creates a debounced function that delays invoking `func` until after `wait` * milliseconds have elapsed since the last time the debounced function was * invoked. The debounced function comes with a `cancel` method to cancel * delayed invocations. Provide an options object to indicate that `func` * should be invoked on the leading and/or trailing edge of the `wait` timeout. * Subsequent calls to the debounced function return the result of the last * `func` invocation. * * **Note:** If `leading` and `trailing` options are `true`, `func` is invoked * on the trailing edge of the timeout only if the the debounced function is * invoked more than once during the `wait` timeout. * * See [David Corbacho's article](http://drupalmotion.com/article/debounce-and-throttle-visual-explanation) * for details over the differences between `_.debounce` and `_.throttle`. * * @static * @memberOf _ * @category Function * @param {Function} func The function to debounce. * @param {number} [wait=0] The number of milliseconds to delay. * @param {Object} [options] The options object. * @param {boolean} [options.leading=false] Specify invoking on the leading * edge of the timeout. * @param {number} [options.maxWait] The maximum time `func` is allowed to be * delayed before it is invoked. * @param {boolean} [options.trailing=true] Specify invoking on the trailing * edge of the timeout. * @returns {Function} Returns the new debounced function. * @example * * // avoid costly calculations while the window size is in flux * jQuery(window).on('resize', _.debounce(calculateLayout, 150)); * * // invoke `sendMail` when the click event is fired, debouncing subsequent calls * jQuery('#postbox').on('click', _.debounce(sendMail, 300, { * 'leading': true, * 'trailing': false * })); * * // ensure `batchLog` is invoked once after 1 second of debounced calls * var source = new EventSource('/stream'); * jQuery(source).on('message', _.debounce(batchLog, 250, { * 'maxWait': 1000 * })); * * // cancel a debounced call * var todoChanges = _.debounce(batchLog, 1000); * Object.observe(models.todo, todoChanges); * * Object.observe(models, function(changes) { * if (_.find(changes, { 'user': 'todo', 'type': 'delete'})) { * todoChanges.cancel(); * } * }, ['delete']); * * // ...at some point `models.todo` is changed * models.todo.completed = true; * * // ...before 1 second has passed `models.todo` is deleted * // which cancels the debounced `todoChanges` call * delete models.todo; */ function debounce(func, wait, options) { var args, maxTimeoutId, result, stamp, thisArg, timeoutId, trailingCall, lastCalled = 0, maxWait = false, trailing = true; if (typeof func != 'function') { throw new TypeError(FUNC_ERROR_TEXT); } wait = wait < 0 ? 0 : (+wait || 0); if (options === true) { var leading = true; trailing = false; } else if (isObject(options)) { leading = !!options.leading; maxWait = 'maxWait' in options && nativeMax(+options.maxWait || 0, wait); trailing = 'trailing' in options ? !!options.trailing : trailing; } function cancel() { if (timeoutId) { clearTimeout(timeoutId); } if (maxTimeoutId) { clearTimeout(maxTimeoutId); } lastCalled = 0; maxTimeoutId = timeoutId = trailingCall = undefined; } function complete(isCalled, id) { if (id) { clearTimeout(id); } maxTimeoutId = timeoutId = trailingCall = undefined; if (isCalled) { lastCalled = now(); result = func.apply(thisArg, args); if (!timeoutId && !maxTimeoutId) { args = thisArg = undefined; } } } function delayed() { var remaining = wait - (now() - stamp); if (remaining <= 0 || remaining > wait) { complete(trailingCall, maxTimeoutId); } else { timeoutId = setTimeout(delayed, remaining); } } function maxDelayed() { complete(trailing, timeoutId); } function debounced() { args = arguments; stamp = now(); thisArg = this; trailingCall = trailing && (timeoutId || !leading); if (maxWait === false) { var leadingCall = leading && !timeoutId; } else { if (!maxTimeoutId && !leading) { lastCalled = stamp; } var remaining = maxWait - (stamp - lastCalled), isCalled = remaining <= 0 || remaining > maxWait; if (isCalled) { if (maxTimeoutId) { maxTimeoutId = clearTimeout(maxTimeoutId); } lastCalled = stamp; result = func.apply(thisArg, args); } else if (!maxTimeoutId) { maxTimeoutId = setTimeout(maxDelayed, remaining); } } if (isCalled && timeoutId) { timeoutId = clearTimeout(timeoutId); } else if (!timeoutId && wait !== maxWait) { timeoutId = setTimeout(delayed, wait); } if (leadingCall) { isCalled = true; result = func.apply(thisArg, args); } if (isCalled && !timeoutId && !maxTimeoutId) { args = thisArg = undefined; } return result; } debounced.cancel = cancel; return debounced; } /** * Checks if `value` is the [language type](https://es5.github.io/#x8) of `Object`. * (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`) * * @static * @memberOf _ * @category Lang * @param {*} value The value to check. * @returns {boolean} Returns `true` if `value` is an object, else `false`. * @example * * _.isObject({}); * // => true * * _.isObject([1, 2, 3]); * // => true * * _.isObject(1); * // => false */ function isObject(value) { // Avoid a V8 JIT bug in Chrome 19-20. // See https://code.google.com/p/v8/issues/detail?id=2291 for more details. var type = typeof value; return !!value && (type == 'object' || type == 'function'); } module.exports = debounce; /***/ }), /***/ "./node_modules/microee/index.js": /*!***************************************!*\ !*** ./node_modules/microee/index.js ***! \***************************************/ /*! no static exports found */ /***/ (function(module, exports) { function M() { this._events = {}; } M.prototype = { on: function(ev, cb) { this._events || (this._events = {}); var e = this._events; (e[ev] || (e[ev] = [])).push(cb); return this; }, removeListener: function(ev, cb) { var e = this._events[ev] || [], i; for(i = e.length-1; i >= 0 && e[i]; i--){ if(e[i] === cb || e[i].cb === cb) { e.splice(i, 1); } } }, removeAllListeners: function(ev) { if(!ev) { this._events = {}; } else { this._events[ev] && (this._events[ev] = []); } }, listeners: function(ev) { return (this._events ? this._events[ev] || [] : []); }, emit: function(ev) { this._events || (this._events = {}); var args = Array.prototype.slice.call(arguments, 1), i, e = this._events[ev] || []; for(i = e.length-1; i >= 0 && e[i]; i--){ e[i].apply(this, args); } return this; }, when: function(ev, cb) { return this.once(ev, cb, true); }, once: function(ev, cb, when) { if(!cb) return this; function c() { if(!when) this.removeListener(ev, c); if(cb.apply(this, arguments) && when) this.removeListener(ev, c); } c.cb = cb; this.on(ev, c); return this; } }; M.mixin = function(dest) { var o = M.prototype, k; for (k in o) { o.hasOwnProperty(k) && (dest.prototype[k] = o[k]); } }; module.exports = M; /***/ }), /***/ "./node_modules/minilog/lib/common/filter.js": /*!***************************************************!*\ !*** ./node_modules/minilog/lib/common/filter.js ***! \***************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { // default filter var Transform = __webpack_require__(/*! ./transform.js */ "./node_modules/minilog/lib/common/transform.js"); var levelMap = { debug: 1, info: 2, warn: 3, error: 4 }; function Filter() { this.enabled = true; this.defaultResult = true; this.clear(); } Transform.mixin(Filter); // allow all matching, with level >= given level Filter.prototype.allow = function(name, level) { this._white.push({ n: name, l: levelMap[level] }); return this; }; // deny all matching, with level <= given level Filter.prototype.deny = function(name, level) { this._black.push({ n: name, l: levelMap[level] }); return this; }; Filter.prototype.clear = function() { this._white = []; this._black = []; return this; }; function test(rule, name) { // use .test for RegExps return (rule.n.test ? rule.n.test(name) : rule.n == name); }; Filter.prototype.test = function(name, level) { var i, len = Math.max(this._white.length, this._black.length); for(i = 0; i < len; i++) { if(this._white[i] && test(this._white[i], name) && levelMap[level] >= this._white[i].l) { return true; } if(this._black[i] && test(this._black[i], name) && levelMap[level] <= this._black[i].l) { return false; } } return this.defaultResult; }; Filter.prototype.write = function(name, level, args) { if(!this.enabled || this.test(name, level)) { return this.emit('item', name, level, args); } }; module.exports = Filter; /***/ }), /***/ "./node_modules/minilog/lib/common/minilog.js": /*!****************************************************!*\ !*** ./node_modules/minilog/lib/common/minilog.js ***! \****************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var Transform = __webpack_require__(/*! ./transform.js */ "./node_modules/minilog/lib/common/transform.js"), Filter = __webpack_require__(/*! ./filter.js */ "./node_modules/minilog/lib/common/filter.js"); var log = new Transform(), slice = Array.prototype.slice; exports = module.exports = function create(name) { var o = function() { log.write(name, undefined, slice.call(arguments)); return o; }; o.debug = function() { log.write(name, 'debug', slice.call(arguments)); return o; }; o.info = function() { log.write(name, 'info', slice.call(arguments)); return o; }; o.warn = function() { log.write(name, 'warn', slice.call(arguments)); return o; }; o.error = function() { log.write(name, 'error', slice.call(arguments)); return o; }; o.log = o.debug; // for interface compliance with Node and browser consoles o.suggest = exports.suggest; o.format = log.format; return o; }; // filled in separately exports.defaultBackend = exports.defaultFormatter = null; exports.pipe = function(dest) { return log.pipe(dest); }; exports.end = exports.unpipe = exports.disable = function(from) { return log.unpipe(from); }; exports.Transform = Transform; exports.Filter = Filter; // this is the default filter that's applied when .enable() is called normally // you can bypass it completely and set up your own pipes exports.suggest = new Filter(); exports.enable = function() { if(exports.defaultFormatter) { return log.pipe(exports.suggest) // filter .pipe(exports.defaultFormatter) // formatter .pipe(exports.defaultBackend); // backend } return log.pipe(exports.suggest) // filter .pipe(exports.defaultBackend); // formatter }; /***/ }), /***/ "./node_modules/minilog/lib/common/transform.js": /*!******************************************************!*\ !*** ./node_modules/minilog/lib/common/transform.js ***! \******************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var microee = __webpack_require__(/*! microee */ "./node_modules/microee/index.js"); // Implements a subset of Node's stream.Transform - in a cross-platform manner. function Transform() {} microee.mixin(Transform); // The write() signature is different from Node's // --> makes it much easier to work with objects in logs. // One of the lessons from v1 was that it's better to target // a good browser rather than the lowest common denominator // internally. // If you want to use external streams, pipe() to ./stringify.js first. Transform.prototype.write = function(name, level, args) { this.emit('item', name, level, args); }; Transform.prototype.end = function() { this.emit('end'); this.removeAllListeners(); }; Transform.prototype.pipe = function(dest) { var s = this; // prevent double piping s.emit('unpipe', dest); // tell the dest that it's being piped to dest.emit('pipe', s); function onItem() { dest.write.apply(dest, Array.prototype.slice.call(arguments)); } function onEnd() { !dest._isStdio && dest.end(); } s.on('item', onItem); s.on('end', onEnd); s.when('unpipe', function(from) { var match = (from === dest) || typeof from == 'undefined'; if(match) { s.removeListener('item', onItem); s.removeListener('end', onEnd); dest.emit('unpipe'); } return match; }); return dest; }; Transform.prototype.unpipe = function(from) { this.emit('unpipe', from); return this; }; Transform.prototype.format = function(dest) { throw new Error([ 'Warning: .format() is deprecated in Minilog v2! Use .pipe() instead. For example:', 'var Minilog = require(\'minilog\');', 'Minilog', ' .pipe(Minilog.backends.console.formatClean)', ' .pipe(Minilog.backends.console);'].join('\n')); }; Transform.mixin = function(dest) { var o = Transform.prototype, k; for (k in o) { o.hasOwnProperty(k) && (dest.prototype[k] = o[k]); } }; module.exports = Transform; /***/ }), /***/ "./node_modules/minilog/lib/web/array.js": /*!***********************************************!*\ !*** ./node_modules/minilog/lib/web/array.js ***! \***********************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var Transform = __webpack_require__(/*! ../common/transform.js */ "./node_modules/minilog/lib/common/transform.js"), cache = [ ]; var logger = new Transform(); logger.write = function(name, level, args) { cache.push([ name, level, args ]); }; // utility functions logger.get = function() { return cache; }; logger.empty = function() { cache = []; }; module.exports = logger; /***/ }), /***/ "./node_modules/minilog/lib/web/console.js": /*!*************************************************!*\ !*** ./node_modules/minilog/lib/web/console.js ***! \*************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var Transform = __webpack_require__(/*! ../common/transform.js */ "./node_modules/minilog/lib/common/transform.js"); var newlines = /\n+$/, logger = new Transform(); logger.write = function(name, level, args) { var i = args.length-1; if (typeof console === 'undefined' || !console.log) { return; } if(console.log.apply) { return console.log.apply(console, [name, level].concat(args)); } else if(JSON && JSON.stringify) { // console.log.apply is undefined in IE8 and IE9 // for IE8/9: make console.log at least a bit less awful if(args[i] && typeof args[i] == 'string') { args[i] = args[i].replace(newlines, ''); } try { for(i = 0; i < args.length; i++) { args[i] = JSON.stringify(args[i]); } } catch(e) {} console.log(args.join(' ')); } }; logger.formatters = ['color', 'minilog']; logger.color = __webpack_require__(/*! ./formatters/color.js */ "./node_modules/minilog/lib/web/formatters/color.js"); logger.minilog = __webpack_require__(/*! ./formatters/minilog.js */ "./node_modules/minilog/lib/web/formatters/minilog.js"); module.exports = logger; /***/ }), /***/ "./node_modules/minilog/lib/web/formatters/color.js": /*!**********************************************************!*\ !*** ./node_modules/minilog/lib/web/formatters/color.js ***! \**********************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var Transform = __webpack_require__(/*! ../../common/transform.js */ "./node_modules/minilog/lib/common/transform.js"), color = __webpack_require__(/*! ./util.js */ "./node_modules/minilog/lib/web/formatters/util.js"); var colors = { debug: ['cyan'], info: ['purple' ], warn: [ 'yellow', true ], error: [ 'red', true ] }, logger = new Transform(); logger.write = function(name, level, args) { var fn = console.log; if(console[level] && console[level].apply) { fn = console[level]; fn.apply(console, [ '%c'+name+' %c'+level, color('gray'), color.apply(color, colors[level])].concat(args)); } }; // NOP, because piping the formatted logs can only cause trouble. logger.pipe = function() { }; module.exports = logger; /***/ }), /***/ "./node_modules/minilog/lib/web/formatters/minilog.js": /*!************************************************************!*\ !*** ./node_modules/minilog/lib/web/formatters/minilog.js ***! \************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var Transform = __webpack_require__(/*! ../../common/transform.js */ "./node_modules/minilog/lib/common/transform.js"), color = __webpack_require__(/*! ./util.js */ "./node_modules/minilog/lib/web/formatters/util.js"), colors = { debug: ['gray'], info: ['purple' ], warn: [ 'yellow', true ], error: [ 'red', true ] }, logger = new Transform(); logger.write = function(name, level, args) { var fn = console.log; if(level != 'debug' && console[level]) { fn = console[level]; } var subset = [], i = 0; if(level != 'info') { for(; i < args.length; i++) { if(typeof args[i] != 'string') break; } fn.apply(console, [ '%c'+name +' '+ args.slice(0, i).join(' '), color.apply(color, colors[level]) ].concat(args.slice(i))); } else { fn.apply(console, [ '%c'+name, color.apply(color, colors[level]) ].concat(args)); } }; // NOP, because piping the formatted logs can only cause trouble. logger.pipe = function() { }; module.exports = logger; /***/ }), /***/ "./node_modules/minilog/lib/web/formatters/util.js": /*!*********************************************************!*\ !*** ./node_modules/minilog/lib/web/formatters/util.js ***! \*********************************************************/ /*! no static exports found */ /***/ (function(module, exports) { var hex = { black: '#000', red: '#c23621', green: '#25bc26', yellow: '#bbbb00', blue: '#492ee1', magenta: '#d338d3', cyan: '#33bbc8', gray: '#808080', purple: '#708' }; function color(fg, isInverse) { if(isInverse) { return 'color: #fff; background: '+hex[fg]+';'; } else { return 'color: '+hex[fg]+';'; } } module.exports = color; /***/ }), /***/ "./node_modules/minilog/lib/web/index.js": /*!***********************************************!*\ !*** ./node_modules/minilog/lib/web/index.js ***! \***********************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var Minilog = __webpack_require__(/*! ../common/minilog.js */ "./node_modules/minilog/lib/common/minilog.js"); var oldEnable = Minilog.enable, oldDisable = Minilog.disable, isChrome = (typeof navigator != 'undefined' && /chrome/i.test(navigator.userAgent)), console = __webpack_require__(/*! ./console.js */ "./node_modules/minilog/lib/web/console.js"); // Use a more capable logging backend if on Chrome Minilog.defaultBackend = (isChrome ? console.minilog : console); // apply enable inputs from localStorage and from the URL if(typeof window != 'undefined') { try { Minilog.enable(JSON.parse(window.localStorage['minilogSettings'])); } catch(e) {} if(window.location && window.location.search) { var match = RegExp('[?&]minilog=([^&]*)').exec(window.location.search); match && Minilog.enable(decodeURIComponent(match[1])); } } // Make enable also add to localStorage Minilog.enable = function() { oldEnable.call(Minilog, true); try { window.localStorage['minilogSettings'] = JSON.stringify(true); } catch(e) {} return this; }; Minilog.disable = function() { oldDisable.call(Minilog); try { delete window.localStorage.minilogSettings; } catch(e) {} return this; }; exports = module.exports = Minilog; exports.backends = { array: __webpack_require__(/*! ./array.js */ "./node_modules/minilog/lib/web/array.js"), browser: Minilog.defaultBackend, localStorage: __webpack_require__(/*! ./localstorage.js */ "./node_modules/minilog/lib/web/localstorage.js"), jQuery: __webpack_require__(/*! ./jquery_simple.js */ "./node_modules/minilog/lib/web/jquery_simple.js") }; /***/ }), /***/ "./node_modules/minilog/lib/web/jquery_simple.js": /*!*******************************************************!*\ !*** ./node_modules/minilog/lib/web/jquery_simple.js ***! \*******************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var Transform = __webpack_require__(/*! ../common/transform.js */ "./node_modules/minilog/lib/common/transform.js"); var cid = new Date().valueOf().toString(36); function AjaxLogger(options) { this.url = options.url || ''; this.cache = []; this.timer = null; this.interval = options.interval || 30*1000; this.enabled = true; this.jQuery = window.jQuery; this.extras = {}; } Transform.mixin(AjaxLogger); AjaxLogger.prototype.write = function(name, level, args) { if(!this.timer) { this.init(); } this.cache.push([name, level].concat(args)); }; AjaxLogger.prototype.init = function() { if(!this.enabled || !this.jQuery) return; var self = this; this.timer = setTimeout(function() { var i, logs = [], ajaxData, url = self.url; if(self.cache.length == 0) return self.init(); // Test each log line and only log the ones that are valid (e.g. don't have circular references). // Slight performance hit but benefit is we log all valid lines. for(i = 0; i < self.cache.length; i++) { try { JSON.stringify(self.cache[i]); logs.push(self.cache[i]); } catch(e) { } } if(self.jQuery.isEmptyObject(self.extras)) { ajaxData = JSON.stringify({ logs: logs }); url = self.url + '?client_id=' + cid; } else { ajaxData = JSON.stringify(self.jQuery.extend({logs: logs}, self.extras)); } self.jQuery.ajax(url, { type: 'POST', cache: false, processData: false, data: ajaxData, contentType: 'application/json', timeout: 10000 }).success(function(data, status, jqxhr) { if(data.interval) { self.interval = Math.max(1000, data.interval); } }).error(function() { self.interval = 30000; }).always(function() { self.init(); }); self.cache = []; }, this.interval); }; AjaxLogger.prototype.end = function() {}; // wait until jQuery is defined. Useful if you don't control the load order. AjaxLogger.jQueryWait = function(onDone) { if(typeof window !== 'undefined' && (window.jQuery || window.$)) { return onDone(window.jQuery || window.$); } else if (typeof window !== 'undefined') { setTimeout(function() { AjaxLogger.jQueryWait(onDone); }, 200); } }; module.exports = AjaxLogger; /***/ }), /***/ "./node_modules/minilog/lib/web/localstorage.js": /*!******************************************************!*\ !*** ./node_modules/minilog/lib/web/localstorage.js ***! \******************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var Transform = __webpack_require__(/*! ../common/transform.js */ "./node_modules/minilog/lib/common/transform.js"), cache = false; var logger = new Transform(); logger.write = function(name, level, args) { if(typeof window == 'undefined' || typeof JSON == 'undefined' || !JSON.stringify || !JSON.parse) return; try { if(!cache) { cache = (window.localStorage.minilog ? JSON.parse(window.localStorage.minilog) : []); } cache.push([ new Date().toString(), name, level, args ]); window.localStorage.minilog = JSON.stringify(cache); } catch(e) {} }; module.exports = logger; /***/ }), /***/ "./node_modules/ms/index.js": /*!**********************************!*\ !*** ./node_modules/ms/index.js ***! \**********************************/ /*! no static exports found */ /***/ (function(module, exports) { /** * Helpers. */ var s = 1000; var m = s * 60; var h = m * 60; var d = h * 24; var y = d * 365.25; /** * Parse or format the given `val`. * * Options: * * - `long` verbose formatting [false] * * @param {String|Number} val * @param {Object} [options] * @throws {Error} throw an error if val is not a non-empty string or a number * @return {String|Number} * @api public */ module.exports = function(val, options) { options = options || {}; var type = typeof val; if (type === 'string' && val.length > 0) { return parse(val); } else if (type === 'number' && isNaN(val) === false) { return options.long ? fmtLong(val) : fmtShort(val); } throw new Error( 'val is not a non-empty string or a valid number. val=' + JSON.stringify(val) ); }; /** * Parse the given `str` and return milliseconds. * * @param {String} str * @return {Number} * @api private */ function parse(str) { str = String(str); if (str.length > 100) { return; } var match = /^((?:\d+)?\.?\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|years?|yrs?|y)?$/i.exec( str ); if (!match) { return; } var n = parseFloat(match[1]); var type = (match[2] || 'ms').toLowerCase(); switch (type) { case 'years': case 'year': case 'yrs': case 'yr': case 'y': return n * y; case 'days': case 'day': case 'd': return n * d; case 'hours': case 'hour': case 'hrs': case 'hr': case 'h': return n * h; case 'minutes': case 'minute': case 'mins': case 'min': case 'm': return n * m; case 'seconds': case 'second': case 'secs': case 'sec': case 's': return n * s; case 'milliseconds': case 'millisecond': case 'msecs': case 'msec': case 'ms': return n; default: return undefined; } } /** * Short format for `ms`. * * @param {Number} ms * @return {String} * @api private */ function fmtShort(ms) { if (ms >= d) { return Math.round(ms / d) + 'd'; } if (ms >= h) { return Math.round(ms / h) + 'h'; } if (ms >= m) { return Math.round(ms / m) + 'm'; } if (ms >= s) { return Math.round(ms / s) + 's'; } return ms + 'ms'; } /** * Long format for `ms`. * * @param {Number} ms * @return {String} * @api private */ function fmtLong(ms) { return plural(ms, d, 'day') || plural(ms, h, 'hour') || plural(ms, m, 'minute') || plural(ms, s, 'second') || ms + ' ms'; } /** * Pluralization helper. */ function plural(ms, n, name) { if (ms < n) { return; } if (ms < n * 1.5) { return Math.floor(ms / n) + ' ' + name; } return Math.ceil(ms / n) + ' ' + name + 's'; } /***/ }), /***/ "./node_modules/nets/index.js": /*!************************************!*\ !*** ./node_modules/nets/index.js ***! \************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { /* WEBPACK VAR INJECTION */(function(process, Buffer) {var req = __webpack_require__(/*! request */ "./node_modules/xhr/index.js") module.exports = Nets function Nets (opts, cb) { if (typeof opts === 'string') opts = { uri: opts } // in node, if encoding === null then response will be a Buffer. we want this to be the default if (!opts.hasOwnProperty('encoding')) opts.encoding = null // in browser, we should by default convert the arraybuffer into a Buffer if (process.browser && !opts.hasOwnProperty('json') && opts.encoding === null) { opts.responseType = 'arraybuffer' var originalCb = cb cb = bufferify } function bufferify (err, resp, body) { if (body) body = new Buffer(new Uint8Array(body)) originalCb(err, resp, body) } return req(opts, cb) } /* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(/*! ./../node-libs-browser/node_modules/process/browser.js */ "./node_modules/node-libs-browser/node_modules/process/browser.js"), __webpack_require__(/*! ./../buffer/index.js */ "./node_modules/buffer/index.js").Buffer)) /***/ }), /***/ "./node_modules/node-libs-browser/node_modules/process/browser.js": /*!************************************************************************!*\ !*** ./node_modules/node-libs-browser/node_modules/process/browser.js ***! \************************************************************************/ /*! no static exports found */ /***/ (function(module, exports) { // shim for using process in browser var process = module.exports = {}; // cached from whatever global is present so that test runners that stub it // don't break things. But we need to wrap it in a try catch in case it is // wrapped in strict mode code which doesn't define any globals. It's inside a // function because try/catches deoptimize in certain engines. var cachedSetTimeout; var cachedClearTimeout; function defaultSetTimout() { throw new Error('setTimeout has not been defined'); } function defaultClearTimeout () { throw new Error('clearTimeout has not been defined'); } (function () { try { if (typeof setTimeout === 'function') { cachedSetTimeout = setTimeout; } else { cachedSetTimeout = defaultSetTimout; } } catch (e) { cachedSetTimeout = defaultSetTimout; } try { if (typeof clearTimeout === 'function') { cachedClearTimeout = clearTimeout; } else { cachedClearTimeout = defaultClearTimeout; } } catch (e) { cachedClearTimeout = defaultClearTimeout; } } ()) function runTimeout(fun) { if (cachedSetTimeout === setTimeout) { //normal enviroments in sane situations return setTimeout(fun, 0); } // if setTimeout wasn't available but was latter defined if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) { cachedSetTimeout = setTimeout; return setTimeout(fun, 0); } try { // when when somebody has screwed with setTimeout but no I.E. maddness return cachedSetTimeout(fun, 0); } catch(e){ try { // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally return cachedSetTimeout.call(null, fun, 0); } catch(e){ // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error return cachedSetTimeout.call(this, fun, 0); } } } function runClearTimeout(marker) { if (cachedClearTimeout === clearTimeout) { //normal enviroments in sane situations return clearTimeout(marker); } // if clearTimeout wasn't available but was latter defined if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) { cachedClearTimeout = clearTimeout; return clearTimeout(marker); } try { // when when somebody has screwed with setTimeout but no I.E. maddness return cachedClearTimeout(marker); } catch (e){ try { // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally return cachedClearTimeout.call(null, marker); } catch (e){ // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error. // Some versions of I.E. have different rules for clearTimeout vs setTimeout return cachedClearTimeout.call(this, marker); } } } var queue = []; var draining = false; var currentQueue; var queueIndex = -1; function cleanUpNextTick() { if (!draining || !currentQueue) { return; } draining = false; if (currentQueue.length) { queue = currentQueue.concat(queue); } else { queueIndex = -1; } if (queue.length) { drainQueue(); } } function drainQueue() { if (draining) { return; } var timeout = runTimeout(cleanUpNextTick); draining = true; var len = queue.length; while(len) { currentQueue = queue; queue = []; while (++queueIndex < len) { if (currentQueue) { currentQueue[queueIndex].run(); } } queueIndex = -1; len = queue.length; } currentQueue = null; draining = false; runClearTimeout(timeout); } process.nextTick = function (fun) { var args = new Array(arguments.length - 1); if (arguments.length > 1) { for (var i = 1; i < arguments.length; i++) { args[i - 1] = arguments[i]; } } queue.push(new Item(fun, args)); if (queue.length === 1 && !draining) { runTimeout(drainQueue); } }; // v8 likes predictible objects function Item(fun, array) { this.fun = fun; this.array = array; } Item.prototype.run = function () { this.fun.apply(null, this.array); }; process.title = 'browser'; process.browser = true; process.env = {}; process.argv = []; process.version = ''; // empty string to avoid regexp issues process.versions = {}; function noop() {} process.on = noop; process.addListener = noop; process.once = noop; process.off = noop; process.removeListener = noop; process.removeAllListeners = noop; process.emit = noop; process.prependListener = noop; process.prependOnceListener = noop; process.listeners = function (name) { return [] } process.binding = function (name) { throw new Error('process.binding is not supported'); }; process.cwd = function () { return '/' }; process.chdir = function (dir) { throw new Error('process.chdir is not supported'); }; process.umask = function() { return 0; }; /***/ }), /***/ "./node_modules/node-libs-browser/node_modules/punycode/punycode.js": /*!**************************************************************************!*\ !*** ./node_modules/node-libs-browser/node_modules/punycode/punycode.js ***! \**************************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { /* WEBPACK VAR INJECTION */(function(module, global) {var __WEBPACK_AMD_DEFINE_RESULT__;/*! https://mths.be/punycode v1.4.1 by @mathias */ ;(function(root) { /** Detect free variables */ var freeExports = true && exports && !exports.nodeType && exports; var freeModule = true && module && !module.nodeType && module; var freeGlobal = typeof global == 'object' && global; if ( freeGlobal.global === freeGlobal || freeGlobal.window === freeGlobal || freeGlobal.self === freeGlobal ) { root = freeGlobal; } /** * The `punycode` object. * @name punycode * @type Object */ var punycode, /** Highest positive signed 32-bit float value */ maxInt = 2147483647, // aka. 0x7FFFFFFF or 2^31-1 /** Bootstring parameters */ base = 36, tMin = 1, tMax = 26, skew = 38, damp = 700, initialBias = 72, initialN = 128, // 0x80 delimiter = '-', // '\x2D' /** Regular expressions */ regexPunycode = /^xn--/, regexNonASCII = /[^\x20-\x7E]/, // unprintable ASCII chars + non-ASCII chars regexSeparators = /[\x2E\u3002\uFF0E\uFF61]/g, // RFC 3490 separators /** Error messages */ errors = { 'overflow': 'Overflow: input needs wider integers to process', 'not-basic': 'Illegal input >= 0x80 (not a basic code point)', 'invalid-input': 'Invalid input' }, /** Convenience shortcuts */ baseMinusTMin = base - tMin, floor = Math.floor, stringFromCharCode = String.fromCharCode, /** Temporary variable */ key; /*--------------------------------------------------------------------------*/ /** * A generic error utility function. * @private * @param {String} type The error type. * @returns {Error} Throws a `RangeError` with the applicable error message. */ function error(type) { throw new RangeError(errors[type]); } /** * A generic `Array#map` utility function. * @private * @param {Array} array The array to iterate over. * @param {Function} callback The function that gets called for every array * item. * @returns {Array} A new array of values returned by the callback function. */ function map(array, fn) { var length = array.length; var result = []; while (length--) { result[length] = fn(array[length]); } return result; } /** * A simple `Array#map`-like wrapper to work with domain name strings or email * addresses. * @private * @param {String} domain The domain name or email address. * @param {Function} callback The function that gets called for every * character. * @returns {Array} A new string of characters returned by the callback * function. */ function mapDomain(string, fn) { var parts = string.split('@'); var result = ''; if (parts.length > 1) { // In email addresses, only the domain name should be punycoded. Leave // the local part (i.e. everything up to `@`) intact. result = parts[0] + '@'; string = parts[1]; } // Avoid `split(regex)` for IE8 compatibility. See #17. string = string.replace(regexSeparators, '\x2E'); var labels = string.split('.'); var encoded = map(labels, fn).join('.'); return result + encoded; } /** * Creates an array containing the numeric code points of each Unicode * character in the string. While JavaScript uses UCS-2 internally, * this function will convert a pair of surrogate halves (each of which * UCS-2 exposes as separate characters) into a single code point, * matching UTF-16. * @see `punycode.ucs2.encode` * @see * @memberOf punycode.ucs2 * @name decode * @param {String} string The Unicode input string (UCS-2). * @returns {Array} The new array of code points. */ function ucs2decode(string) { var output = [], counter = 0, length = string.length, value, extra; while (counter < length) { value = string.charCodeAt(counter++); if (value >= 0xD800 && value <= 0xDBFF && counter < length) { // high surrogate, and there is a next character extra = string.charCodeAt(counter++); if ((extra & 0xFC00) == 0xDC00) { // low surrogate output.push(((value & 0x3FF) << 10) + (extra & 0x3FF) + 0x10000); } else { // unmatched surrogate; only append this code unit, in case the next // code unit is the high surrogate of a surrogate pair output.push(value); counter--; } } else { output.push(value); } } return output; } /** * Creates a string based on an array of numeric code points. * @see `punycode.ucs2.decode` * @memberOf punycode.ucs2 * @name encode * @param {Array} codePoints The array of numeric code points. * @returns {String} The new Unicode string (UCS-2). */ function ucs2encode(array) { return map(array, function(value) { var output = ''; if (value > 0xFFFF) { value -= 0x10000; output += stringFromCharCode(value >>> 10 & 0x3FF | 0xD800); value = 0xDC00 | value & 0x3FF; } output += stringFromCharCode(value); return output; }).join(''); } /** * Converts a basic code point into a digit/integer. * @see `digitToBasic()` * @private * @param {Number} codePoint The basic numeric code point value. * @returns {Number} The numeric value of a basic code point (for use in * representing integers) in the range `0` to `base - 1`, or `base` if * the code point does not represent a value. */ function basicToDigit(codePoint) { if (codePoint - 48 < 10) { return codePoint - 22; } if (codePoint - 65 < 26) { return codePoint - 65; } if (codePoint - 97 < 26) { return codePoint - 97; } return base; } /** * Converts a digit/integer into a basic code point. * @see `basicToDigit()` * @private * @param {Number} digit The numeric value of a basic code point. * @returns {Number} The basic code point whose value (when used for * representing integers) is `digit`, which needs to be in the range * `0` to `base - 1`. If `flag` is non-zero, the uppercase form is * used; else, the lowercase form is used. The behavior is undefined * if `flag` is non-zero and `digit` has no uppercase form. */ function digitToBasic(digit, flag) { // 0..25 map to ASCII a..z or A..Z // 26..35 map to ASCII 0..9 return digit + 22 + 75 * (digit < 26) - ((flag != 0) << 5); } /** * Bias adaptation function as per section 3.4 of RFC 3492. * https://tools.ietf.org/html/rfc3492#section-3.4 * @private */ function adapt(delta, numPoints, firstTime) { var k = 0; delta = firstTime ? floor(delta / damp) : delta >> 1; delta += floor(delta / numPoints); for (/* no initialization */; delta > baseMinusTMin * tMax >> 1; k += base) { delta = floor(delta / baseMinusTMin); } return floor(k + (baseMinusTMin + 1) * delta / (delta + skew)); } /** * Converts a Punycode string of ASCII-only symbols to a string of Unicode * symbols. * @memberOf punycode * @param {String} input The Punycode string of ASCII-only symbols. * @returns {String} The resulting string of Unicode symbols. */ function decode(input) { // Don't use UCS-2 var output = [], inputLength = input.length, out, i = 0, n = initialN, bias = initialBias, basic, j, index, oldi, w, k, digit, t, /** Cached calculation results */ baseMinusT; // Handle the basic code points: let `basic` be the number of input code // points before the last delimiter, or `0` if there is none, then copy // the first basic code points to the output. basic = input.lastIndexOf(delimiter); if (basic < 0) { basic = 0; } for (j = 0; j < basic; ++j) { // if it's not a basic code point if (input.charCodeAt(j) >= 0x80) { error('not-basic'); } output.push(input.charCodeAt(j)); } // Main decoding loop: start just after the last delimiter if any basic code // points were copied; start at the beginning otherwise. for (index = basic > 0 ? basic + 1 : 0; index < inputLength; /* no final expression */) { // `index` is the index of the next character to be consumed. // Decode a generalized variable-length integer into `delta`, // which gets added to `i`. The overflow checking is easier // if we increase `i` as we go, then subtract off its starting // value at the end to obtain `delta`. for (oldi = i, w = 1, k = base; /* no condition */; k += base) { if (index >= inputLength) { error('invalid-input'); } digit = basicToDigit(input.charCodeAt(index++)); if (digit >= base || digit > floor((maxInt - i) / w)) { error('overflow'); } i += digit * w; t = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias); if (digit < t) { break; } baseMinusT = base - t; if (w > floor(maxInt / baseMinusT)) { error('overflow'); } w *= baseMinusT; } out = output.length + 1; bias = adapt(i - oldi, out, oldi == 0); // `i` was supposed to wrap around from `out` to `0`, // incrementing `n` each time, so we'll fix that now: if (floor(i / out) > maxInt - n) { error('overflow'); } n += floor(i / out); i %= out; // Insert `n` at position `i` of the output output.splice(i++, 0, n); } return ucs2encode(output); } /** * Converts a string of Unicode symbols (e.g. a domain name label) to a * Punycode string of ASCII-only symbols. * @memberOf punycode * @param {String} input The string of Unicode symbols. * @returns {String} The resulting Punycode string of ASCII-only symbols. */ function encode(input) { var n, delta, handledCPCount, basicLength, bias, j, m, q, k, t, currentValue, output = [], /** `inputLength` will hold the number of code points in `input`. */ inputLength, /** Cached calculation results */ handledCPCountPlusOne, baseMinusT, qMinusT; // Convert the input in UCS-2 to Unicode input = ucs2decode(input); // Cache the length inputLength = input.length; // Initialize the state n = initialN; delta = 0; bias = initialBias; // Handle the basic code points for (j = 0; j < inputLength; ++j) { currentValue = input[j]; if (currentValue < 0x80) { output.push(stringFromCharCode(currentValue)); } } handledCPCount = basicLength = output.length; // `handledCPCount` is the number of code points that have been handled; // `basicLength` is the number of basic code points. // Finish the basic string - if it is not empty - with a delimiter if (basicLength) { output.push(delimiter); } // Main encoding loop: while (handledCPCount < inputLength) { // All non-basic code points < n have been handled already. Find the next // larger one: for (m = maxInt, j = 0; j < inputLength; ++j) { currentValue = input[j]; if (currentValue >= n && currentValue < m) { m = currentValue; } } // Increase `delta` enough to advance the decoder's state to , // but guard against overflow handledCPCountPlusOne = handledCPCount + 1; if (m - n > floor((maxInt - delta) / handledCPCountPlusOne)) { error('overflow'); } delta += (m - n) * handledCPCountPlusOne; n = m; for (j = 0; j < inputLength; ++j) { currentValue = input[j]; if (currentValue < n && ++delta > maxInt) { error('overflow'); } if (currentValue == n) { // Represent delta as a generalized variable-length integer for (q = delta, k = base; /* no condition */; k += base) { t = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias); if (q < t) { break; } qMinusT = q - t; baseMinusT = base - t; output.push( stringFromCharCode(digitToBasic(t + qMinusT % baseMinusT, 0)) ); q = floor(qMinusT / baseMinusT); } output.push(stringFromCharCode(digitToBasic(q, 0))); bias = adapt(delta, handledCPCountPlusOne, handledCPCount == basicLength); delta = 0; ++handledCPCount; } } ++delta; ++n; } return output.join(''); } /** * Converts a Punycode string representing a domain name or an email address * to Unicode. Only the Punycoded parts of the input will be converted, i.e. * it doesn't matter if you call it on a string that has already been * converted to Unicode. * @memberOf punycode * @param {String} input The Punycoded domain name or email address to * convert to Unicode. * @returns {String} The Unicode representation of the given Punycode * string. */ function toUnicode(input) { return mapDomain(input, function(string) { return regexPunycode.test(string) ? decode(string.slice(4).toLowerCase()) : string; }); } /** * Converts a Unicode string representing a domain name or an email address to * Punycode. Only the non-ASCII parts of the domain name will be converted, * i.e. it doesn't matter if you call it with a domain that's already in * ASCII. * @memberOf punycode * @param {String} input The domain name or email address to convert, as a * Unicode string. * @returns {String} The Punycode representation of the given domain name or * email address. */ function toASCII(input) { return mapDomain(input, function(string) { return regexNonASCII.test(string) ? 'xn--' + encode(string) : string; }); } /*--------------------------------------------------------------------------*/ /** Define the public API */ punycode = { /** * A string representing the current Punycode.js version number. * @memberOf punycode * @type String */ 'version': '1.4.1', /** * An object of methods to convert from JavaScript's internal character * representation (UCS-2) to Unicode code points, and back. * @see * @memberOf punycode * @type Object */ 'ucs2': { 'decode': ucs2decode, 'encode': ucs2encode }, 'decode': decode, 'encode': encode, 'toASCII': toASCII, 'toUnicode': toUnicode }; /** Expose `punycode` */ // Some AMD build optimizers, like r.js, check for specific condition patterns // like the following: if ( true ) { !(__WEBPACK_AMD_DEFINE_RESULT__ = (function() { return punycode; }).call(exports, __webpack_require__, exports, module), __WEBPACK_AMD_DEFINE_RESULT__ !== undefined && (module.exports = __WEBPACK_AMD_DEFINE_RESULT__)); } else {} }(this)); /* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(/*! ./../../../webpack/buildin/module.js */ "./node_modules/webpack/buildin/module.js")(module), __webpack_require__(/*! ./../../../webpack/buildin/global.js */ "./node_modules/webpack/buildin/global.js"))) /***/ }), /***/ "./node_modules/object-assign/index.js": /*!*********************************************!*\ !*** ./node_modules/object-assign/index.js ***! \*********************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; /* object-assign (c) Sindre Sorhus @license MIT */ /* eslint-disable no-unused-vars */ var getOwnPropertySymbols = Object.getOwnPropertySymbols; var hasOwnProperty = Object.prototype.hasOwnProperty; var propIsEnumerable = Object.prototype.propertyIsEnumerable; function toObject(val) { if (val === null || val === undefined) { throw new TypeError('Object.assign cannot be called with null or undefined'); } return Object(val); } function shouldUseNative() { try { if (!Object.assign) { return false; } // Detect buggy property enumeration order in older V8 versions. // https://bugs.chromium.org/p/v8/issues/detail?id=4118 var test1 = new String('abc'); // eslint-disable-line no-new-wrappers test1[5] = 'de'; if (Object.getOwnPropertyNames(test1)[0] === '5') { return false; } // https://bugs.chromium.org/p/v8/issues/detail?id=3056 var test2 = {}; for (var i = 0; i < 10; i++) { test2['_' + String.fromCharCode(i)] = i; } var order2 = Object.getOwnPropertyNames(test2).map(function (n) { return test2[n]; }); if (order2.join('') !== '0123456789') { return false; } // https://bugs.chromium.org/p/v8/issues/detail?id=3056 var test3 = {}; 'abcdefghijklmnopqrst'.split('').forEach(function (letter) { test3[letter] = letter; }); if (Object.keys(Object.assign({}, test3)).join('') !== 'abcdefghijklmnopqrst') { return false; } return true; } catch (err) { // We don't expect any of the above to throw, but better to be safe. return false; } } module.exports = shouldUseNative() ? Object.assign : function (target, source) { var from; var to = toObject(target); var symbols; for (var s = 1; s < arguments.length; s++) { from = Object(arguments[s]); for (var key in from) { if (hasOwnProperty.call(from, key)) { to[key] = from[key]; } } if (getOwnPropertySymbols) { symbols = getOwnPropertySymbols(from); for (var i = 0; i < symbols.length; i++) { if (propIsEnumerable.call(from, symbols[i])) { to[symbols[i]] = from[symbols[i]]; } } } } return to; }; /***/ }), /***/ "./node_modules/parse-color/index.js": /*!*******************************************!*\ !*** ./node_modules/parse-color/index.js ***! \*******************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var convert = __webpack_require__(/*! color-convert */ "./node_modules/parse-color/node_modules/color-convert/index.js"); module.exports = function (cstr) { var m, conv, parts, alpha; if (m = /^((?:rgb|hs[lv]|cmyk|xyz|lab)a?)\s*\(([^\)]*)\)/.exec(cstr)) { var name = m[1]; var base = name.replace(/a$/, ''); var size = base === 'cmyk' ? 4 : 3; conv = convert[base]; parts = m[2].replace(/^\s+|\s+$/g, '') .split(/\s*,\s*/) .map(function (x, i) { if (/%$/.test(x) && i === size) { return parseFloat(x) / 100; } else if (/%$/.test(x)) { return parseFloat(x); } return parseFloat(x); }) ; if (name === base) parts.push(1); alpha = parts[size] === undefined ? 1 : parts[size]; parts = parts.slice(0, size); conv[base] = function () { return parts }; } else if (/^#[A-Fa-f0-9]+$/.test(cstr)) { var base = cstr.replace(/^#/,''); var size = base.length; conv = convert.rgb; parts = base.split(size === 3 ? /(.)/ : /(..)/); parts = parts.filter(Boolean) .map(function (x) { if (size === 3) { return parseInt(x + x, 16); } else { return parseInt(x, 16) } }) ; alpha = 1; conv.rgb = function () { return parts }; if (!parts[0]) parts[0] = 0; if (!parts[1]) parts[1] = 0; if (!parts[2]) parts[2] = 0; } else { conv = convert.keyword; conv.keyword = function () { return cstr }; parts = cstr; alpha = 1; } var res = { rgb: undefined, hsl: undefined, hsv: undefined, cmyk: undefined, keyword: undefined, hex: undefined }; try { res.rgb = conv.rgb(parts) } catch (e) {} try { res.hsl = conv.hsl(parts) } catch (e) {} try { res.hsv = conv.hsv(parts) } catch (e) {} try { res.cmyk = conv.cmyk(parts) } catch (e) {} try { res.keyword = conv.keyword(parts) } catch (e) {} if (res.rgb) res.hex = '#' + res.rgb.map(function (x) { var s = x.toString(16); if (s.length === 1) return '0' + s; return s; }).join(''); if (res.rgb) res.rgba = res.rgb.concat(alpha); if (res.hsl) res.hsla = res.hsl.concat(alpha); if (res.hsv) res.hsva = res.hsv.concat(alpha); if (res.cmyk) res.cmyka = res.cmyk.concat(alpha); return res; }; /***/ }), /***/ "./node_modules/parse-color/node_modules/color-convert/conversions.js": /*!****************************************************************************!*\ !*** ./node_modules/parse-color/node_modules/color-convert/conversions.js ***! \****************************************************************************/ /*! no static exports found */ /***/ (function(module, exports) { /* MIT license */ module.exports = { rgb2hsl: rgb2hsl, rgb2hsv: rgb2hsv, rgb2hwb: rgb2hwb, rgb2cmyk: rgb2cmyk, rgb2keyword: rgb2keyword, rgb2xyz: rgb2xyz, rgb2lab: rgb2lab, rgb2lch: rgb2lch, hsl2rgb: hsl2rgb, hsl2hsv: hsl2hsv, hsl2hwb: hsl2hwb, hsl2cmyk: hsl2cmyk, hsl2keyword: hsl2keyword, hsv2rgb: hsv2rgb, hsv2hsl: hsv2hsl, hsv2hwb: hsv2hwb, hsv2cmyk: hsv2cmyk, hsv2keyword: hsv2keyword, hwb2rgb: hwb2rgb, hwb2hsl: hwb2hsl, hwb2hsv: hwb2hsv, hwb2cmyk: hwb2cmyk, hwb2keyword: hwb2keyword, cmyk2rgb: cmyk2rgb, cmyk2hsl: cmyk2hsl, cmyk2hsv: cmyk2hsv, cmyk2hwb: cmyk2hwb, cmyk2keyword: cmyk2keyword, keyword2rgb: keyword2rgb, keyword2hsl: keyword2hsl, keyword2hsv: keyword2hsv, keyword2hwb: keyword2hwb, keyword2cmyk: keyword2cmyk, keyword2lab: keyword2lab, keyword2xyz: keyword2xyz, xyz2rgb: xyz2rgb, xyz2lab: xyz2lab, xyz2lch: xyz2lch, lab2xyz: lab2xyz, lab2rgb: lab2rgb, lab2lch: lab2lch, lch2lab: lch2lab, lch2xyz: lch2xyz, lch2rgb: lch2rgb } function rgb2hsl(rgb) { var r = rgb[0]/255, g = rgb[1]/255, b = rgb[2]/255, min = Math.min(r, g, b), max = Math.max(r, g, b), delta = max - min, h, s, l; if (max == min) h = 0; else if (r == max) h = (g - b) / delta; else if (g == max) h = 2 + (b - r) / delta; else if (b == max) h = 4 + (r - g)/ delta; h = Math.min(h * 60, 360); if (h < 0) h += 360; l = (min + max) / 2; if (max == min) s = 0; else if (l <= 0.5) s = delta / (max + min); else s = delta / (2 - max - min); return [h, s * 100, l * 100]; } function rgb2hsv(rgb) { var r = rgb[0], g = rgb[1], b = rgb[2], min = Math.min(r, g, b), max = Math.max(r, g, b), delta = max - min, h, s, v; if (max == 0) s = 0; else s = (delta/max * 1000)/10; if (max == min) h = 0; else if (r == max) h = (g - b) / delta; else if (g == max) h = 2 + (b - r) / delta; else if (b == max) h = 4 + (r - g) / delta; h = Math.min(h * 60, 360); if (h < 0) h += 360; v = ((max / 255) * 1000) / 10; return [h, s, v]; } function rgb2hwb(rgb) { var r = rgb[0], g = rgb[1], b = rgb[2], h = rgb2hsl(rgb)[0], w = 1/255 * Math.min(r, Math.min(g, b)), b = 1 - 1/255 * Math.max(r, Math.max(g, b)); return [h, w * 100, b * 100]; } function rgb2cmyk(rgb) { var r = rgb[0] / 255, g = rgb[1] / 255, b = rgb[2] / 255, c, m, y, k; k = Math.min(1 - r, 1 - g, 1 - b); c = (1 - r - k) / (1 - k) || 0; m = (1 - g - k) / (1 - k) || 0; y = (1 - b - k) / (1 - k) || 0; return [c * 100, m * 100, y * 100, k * 100]; } function rgb2keyword(rgb) { return reverseKeywords[JSON.stringify(rgb)]; } function rgb2xyz(rgb) { var r = rgb[0] / 255, g = rgb[1] / 255, b = rgb[2] / 255; // assume sRGB r = r > 0.04045 ? Math.pow(((r + 0.055) / 1.055), 2.4) : (r / 12.92); g = g > 0.04045 ? Math.pow(((g + 0.055) / 1.055), 2.4) : (g / 12.92); b = b > 0.04045 ? Math.pow(((b + 0.055) / 1.055), 2.4) : (b / 12.92); var x = (r * 0.4124) + (g * 0.3576) + (b * 0.1805); var y = (r * 0.2126) + (g * 0.7152) + (b * 0.0722); var z = (r * 0.0193) + (g * 0.1192) + (b * 0.9505); return [x * 100, y *100, z * 100]; } function rgb2lab(rgb) { var xyz = rgb2xyz(rgb), x = xyz[0], y = xyz[1], z = xyz[2], l, a, b; x /= 95.047; y /= 100; z /= 108.883; x = x > 0.008856 ? Math.pow(x, 1/3) : (7.787 * x) + (16 / 116); y = y > 0.008856 ? Math.pow(y, 1/3) : (7.787 * y) + (16 / 116); z = z > 0.008856 ? Math.pow(z, 1/3) : (7.787 * z) + (16 / 116); l = (116 * y) - 16; a = 500 * (x - y); b = 200 * (y - z); return [l, a, b]; } function rgb2lch(args) { return lab2lch(rgb2lab(args)); } function hsl2rgb(hsl) { var h = hsl[0] / 360, s = hsl[1] / 100, l = hsl[2] / 100, t1, t2, t3, rgb, val; if (s == 0) { val = l * 255; return [val, val, val]; } if (l < 0.5) t2 = l * (1 + s); else t2 = l + s - l * s; t1 = 2 * l - t2; rgb = [0, 0, 0]; for (var i = 0; i < 3; i++) { t3 = h + 1 / 3 * - (i - 1); t3 < 0 && t3++; t3 > 1 && t3--; if (6 * t3 < 1) val = t1 + (t2 - t1) * 6 * t3; else if (2 * t3 < 1) val = t2; else if (3 * t3 < 2) val = t1 + (t2 - t1) * (2 / 3 - t3) * 6; else val = t1; rgb[i] = val * 255; } return rgb; } function hsl2hsv(hsl) { var h = hsl[0], s = hsl[1] / 100, l = hsl[2] / 100, sv, v; if(l === 0) { // no need to do calc on black // also avoids divide by 0 error return [0, 0, 0]; } l *= 2; s *= (l <= 1) ? l : 2 - l; v = (l + s) / 2; sv = (2 * s) / (l + s); return [h, sv * 100, v * 100]; } function hsl2hwb(args) { return rgb2hwb(hsl2rgb(args)); } function hsl2cmyk(args) { return rgb2cmyk(hsl2rgb(args)); } function hsl2keyword(args) { return rgb2keyword(hsl2rgb(args)); } function hsv2rgb(hsv) { var h = hsv[0] / 60, s = hsv[1] / 100, v = hsv[2] / 100, hi = Math.floor(h) % 6; var f = h - Math.floor(h), p = 255 * v * (1 - s), q = 255 * v * (1 - (s * f)), t = 255 * v * (1 - (s * (1 - f))), v = 255 * v; switch(hi) { case 0: return [v, t, p]; case 1: return [q, v, p]; case 2: return [p, v, t]; case 3: return [p, q, v]; case 4: return [t, p, v]; case 5: return [v, p, q]; } } function hsv2hsl(hsv) { var h = hsv[0], s = hsv[1] / 100, v = hsv[2] / 100, sl, l; l = (2 - s) * v; sl = s * v; sl /= (l <= 1) ? l : 2 - l; sl = sl || 0; l /= 2; return [h, sl * 100, l * 100]; } function hsv2hwb(args) { return rgb2hwb(hsv2rgb(args)) } function hsv2cmyk(args) { return rgb2cmyk(hsv2rgb(args)); } function hsv2keyword(args) { return rgb2keyword(hsv2rgb(args)); } // http://dev.w3.org/csswg/css-color/#hwb-to-rgb function hwb2rgb(hwb) { var h = hwb[0] / 360, wh = hwb[1] / 100, bl = hwb[2] / 100, ratio = wh + bl, i, v, f, n; // wh + bl cant be > 1 if (ratio > 1) { wh /= ratio; bl /= ratio; } i = Math.floor(6 * h); v = 1 - bl; f = 6 * h - i; if ((i & 0x01) != 0) { f = 1 - f; } n = wh + f * (v - wh); // linear interpolation switch (i) { default: case 6: case 0: r = v; g = n; b = wh; break; case 1: r = n; g = v; b = wh; break; case 2: r = wh; g = v; b = n; break; case 3: r = wh; g = n; b = v; break; case 4: r = n; g = wh; b = v; break; case 5: r = v; g = wh; b = n; break; } return [r * 255, g * 255, b * 255]; } function hwb2hsl(args) { return rgb2hsl(hwb2rgb(args)); } function hwb2hsv(args) { return rgb2hsv(hwb2rgb(args)); } function hwb2cmyk(args) { return rgb2cmyk(hwb2rgb(args)); } function hwb2keyword(args) { return rgb2keyword(hwb2rgb(args)); } function cmyk2rgb(cmyk) { var c = cmyk[0] / 100, m = cmyk[1] / 100, y = cmyk[2] / 100, k = cmyk[3] / 100, r, g, b; r = 1 - Math.min(1, c * (1 - k) + k); g = 1 - Math.min(1, m * (1 - k) + k); b = 1 - Math.min(1, y * (1 - k) + k); return [r * 255, g * 255, b * 255]; } function cmyk2hsl(args) { return rgb2hsl(cmyk2rgb(args)); } function cmyk2hsv(args) { return rgb2hsv(cmyk2rgb(args)); } function cmyk2hwb(args) { return rgb2hwb(cmyk2rgb(args)); } function cmyk2keyword(args) { return rgb2keyword(cmyk2rgb(args)); } function xyz2rgb(xyz) { var x = xyz[0] / 100, y = xyz[1] / 100, z = xyz[2] / 100, r, g, b; r = (x * 3.2406) + (y * -1.5372) + (z * -0.4986); g = (x * -0.9689) + (y * 1.8758) + (z * 0.0415); b = (x * 0.0557) + (y * -0.2040) + (z * 1.0570); // assume sRGB r = r > 0.0031308 ? ((1.055 * Math.pow(r, 1.0 / 2.4)) - 0.055) : r = (r * 12.92); g = g > 0.0031308 ? ((1.055 * Math.pow(g, 1.0 / 2.4)) - 0.055) : g = (g * 12.92); b = b > 0.0031308 ? ((1.055 * Math.pow(b, 1.0 / 2.4)) - 0.055) : b = (b * 12.92); r = Math.min(Math.max(0, r), 1); g = Math.min(Math.max(0, g), 1); b = Math.min(Math.max(0, b), 1); return [r * 255, g * 255, b * 255]; } function xyz2lab(xyz) { var x = xyz[0], y = xyz[1], z = xyz[2], l, a, b; x /= 95.047; y /= 100; z /= 108.883; x = x > 0.008856 ? Math.pow(x, 1/3) : (7.787 * x) + (16 / 116); y = y > 0.008856 ? Math.pow(y, 1/3) : (7.787 * y) + (16 / 116); z = z > 0.008856 ? Math.pow(z, 1/3) : (7.787 * z) + (16 / 116); l = (116 * y) - 16; a = 500 * (x - y); b = 200 * (y - z); return [l, a, b]; } function xyz2lch(args) { return lab2lch(xyz2lab(args)); } function lab2xyz(lab) { var l = lab[0], a = lab[1], b = lab[2], x, y, z, y2; if (l <= 8) { y = (l * 100) / 903.3; y2 = (7.787 * (y / 100)) + (16 / 116); } else { y = 100 * Math.pow((l + 16) / 116, 3); y2 = Math.pow(y / 100, 1/3); } x = x / 95.047 <= 0.008856 ? x = (95.047 * ((a / 500) + y2 - (16 / 116))) / 7.787 : 95.047 * Math.pow((a / 500) + y2, 3); z = z / 108.883 <= 0.008859 ? z = (108.883 * (y2 - (b / 200) - (16 / 116))) / 7.787 : 108.883 * Math.pow(y2 - (b / 200), 3); return [x, y, z]; } function lab2lch(lab) { var l = lab[0], a = lab[1], b = lab[2], hr, h, c; hr = Math.atan2(b, a); h = hr * 360 / 2 / Math.PI; if (h < 0) { h += 360; } c = Math.sqrt(a * a + b * b); return [l, c, h]; } function lab2rgb(args) { return xyz2rgb(lab2xyz(args)); } function lch2lab(lch) { var l = lch[0], c = lch[1], h = lch[2], a, b, hr; hr = h / 360 * 2 * Math.PI; a = c * Math.cos(hr); b = c * Math.sin(hr); return [l, a, b]; } function lch2xyz(args) { return lab2xyz(lch2lab(args)); } function lch2rgb(args) { return lab2rgb(lch2lab(args)); } function keyword2rgb(keyword) { return cssKeywords[keyword]; } function keyword2hsl(args) { return rgb2hsl(keyword2rgb(args)); } function keyword2hsv(args) { return rgb2hsv(keyword2rgb(args)); } function keyword2hwb(args) { return rgb2hwb(keyword2rgb(args)); } function keyword2cmyk(args) { return rgb2cmyk(keyword2rgb(args)); } function keyword2lab(args) { return rgb2lab(keyword2rgb(args)); } function keyword2xyz(args) { return rgb2xyz(keyword2rgb(args)); } var cssKeywords = { aliceblue: [240,248,255], antiquewhite: [250,235,215], aqua: [0,255,255], aquamarine: [127,255,212], azure: [240,255,255], beige: [245,245,220], bisque: [255,228,196], black: [0,0,0], blanchedalmond: [255,235,205], blue: [0,0,255], blueviolet: [138,43,226], brown: [165,42,42], burlywood: [222,184,135], cadetblue: [95,158,160], chartreuse: [127,255,0], chocolate: [210,105,30], coral: [255,127,80], cornflowerblue: [100,149,237], cornsilk: [255,248,220], crimson: [220,20,60], cyan: [0,255,255], darkblue: [0,0,139], darkcyan: [0,139,139], darkgoldenrod: [184,134,11], darkgray: [169,169,169], darkgreen: [0,100,0], darkgrey: [169,169,169], darkkhaki: [189,183,107], darkmagenta: [139,0,139], darkolivegreen: [85,107,47], darkorange: [255,140,0], darkorchid: [153,50,204], darkred: [139,0,0], darksalmon: [233,150,122], darkseagreen: [143,188,143], darkslateblue: [72,61,139], darkslategray: [47,79,79], darkslategrey: [47,79,79], darkturquoise: [0,206,209], darkviolet: [148,0,211], deeppink: [255,20,147], deepskyblue: [0,191,255], dimgray: [105,105,105], dimgrey: [105,105,105], dodgerblue: [30,144,255], firebrick: [178,34,34], floralwhite: [255,250,240], forestgreen: [34,139,34], fuchsia: [255,0,255], gainsboro: [220,220,220], ghostwhite: [248,248,255], gold: [255,215,0], goldenrod: [218,165,32], gray: [128,128,128], green: [0,128,0], greenyellow: [173,255,47], grey: [128,128,128], honeydew: [240,255,240], hotpink: [255,105,180], indianred: [205,92,92], indigo: [75,0,130], ivory: [255,255,240], khaki: [240,230,140], lavender: [230,230,250], lavenderblush: [255,240,245], lawngreen: [124,252,0], lemonchiffon: [255,250,205], lightblue: [173,216,230], lightcoral: [240,128,128], lightcyan: [224,255,255], lightgoldenrodyellow: [250,250,210], lightgray: [211,211,211], lightgreen: [144,238,144], lightgrey: [211,211,211], lightpink: [255,182,193], lightsalmon: [255,160,122], lightseagreen: [32,178,170], lightskyblue: [135,206,250], lightslategray: [119,136,153], lightslategrey: [119,136,153], lightsteelblue: [176,196,222], lightyellow: [255,255,224], lime: [0,255,0], limegreen: [50,205,50], linen: [250,240,230], magenta: [255,0,255], maroon: [128,0,0], mediumaquamarine: [102,205,170], mediumblue: [0,0,205], mediumorchid: [186,85,211], mediumpurple: [147,112,219], mediumseagreen: [60,179,113], mediumslateblue: [123,104,238], mediumspringgreen: [0,250,154], mediumturquoise: [72,209,204], mediumvioletred: [199,21,133], midnightblue: [25,25,112], mintcream: [245,255,250], mistyrose: [255,228,225], moccasin: [255,228,181], navajowhite: [255,222,173], navy: [0,0,128], oldlace: [253,245,230], olive: [128,128,0], olivedrab: [107,142,35], orange: [255,165,0], orangered: [255,69,0], orchid: [218,112,214], palegoldenrod: [238,232,170], palegreen: [152,251,152], paleturquoise: [175,238,238], palevioletred: [219,112,147], papayawhip: [255,239,213], peachpuff: [255,218,185], peru: [205,133,63], pink: [255,192,203], plum: [221,160,221], powderblue: [176,224,230], purple: [128,0,128], rebeccapurple: [102, 51, 153], red: [255,0,0], rosybrown: [188,143,143], royalblue: [65,105,225], saddlebrown: [139,69,19], salmon: [250,128,114], sandybrown: [244,164,96], seagreen: [46,139,87], seashell: [255,245,238], sienna: [160,82,45], silver: [192,192,192], skyblue: [135,206,235], slateblue: [106,90,205], slategray: [112,128,144], slategrey: [112,128,144], snow: [255,250,250], springgreen: [0,255,127], steelblue: [70,130,180], tan: [210,180,140], teal: [0,128,128], thistle: [216,191,216], tomato: [255,99,71], turquoise: [64,224,208], violet: [238,130,238], wheat: [245,222,179], white: [255,255,255], whitesmoke: [245,245,245], yellow: [255,255,0], yellowgreen: [154,205,50] }; var reverseKeywords = {}; for (var key in cssKeywords) { reverseKeywords[JSON.stringify(cssKeywords[key])] = key; } /***/ }), /***/ "./node_modules/parse-color/node_modules/color-convert/index.js": /*!**********************************************************************!*\ !*** ./node_modules/parse-color/node_modules/color-convert/index.js ***! \**********************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var conversions = __webpack_require__(/*! ./conversions */ "./node_modules/parse-color/node_modules/color-convert/conversions.js"); var convert = function() { return new Converter(); } for (var func in conversions) { // export Raw versions convert[func + "Raw"] = (function(func) { // accept array or plain args return function(arg) { if (typeof arg == "number") arg = Array.prototype.slice.call(arguments); return conversions[func](arg); } })(func); var pair = /(\w+)2(\w+)/.exec(func), from = pair[1], to = pair[2]; // export rgb2hsl and ["rgb"]["hsl"] convert[from] = convert[from] || {}; convert[from][to] = convert[func] = (function(func) { return function(arg) { if (typeof arg == "number") arg = Array.prototype.slice.call(arguments); var val = conversions[func](arg); if (typeof val == "string" || val === undefined) return val; // keyword for (var i = 0; i < val.length; i++) val[i] = Math.round(val[i]); return val; } })(func); } /* Converter does lazy conversion and caching */ var Converter = function() { this.convs = {}; }; /* Either get the values for a space or set the values for a space, depending on args */ Converter.prototype.routeSpace = function(space, args) { var values = args[0]; if (values === undefined) { // color.rgb() return this.getValues(space); } // color.rgb(10, 10, 10) if (typeof values == "number") { values = Array.prototype.slice.call(args); } return this.setValues(space, values); }; /* Set the values for a space, invalidating cache */ Converter.prototype.setValues = function(space, values) { this.space = space; this.convs = {}; this.convs[space] = values; return this; }; /* Get the values for a space. If there's already a conversion for the space, fetch it, otherwise compute it */ Converter.prototype.getValues = function(space) { var vals = this.convs[space]; if (!vals) { var fspace = this.space, from = this.convs[fspace]; vals = convert[fspace][space](from); this.convs[space] = vals; } return vals; }; ["rgb", "hsl", "hsv", "cmyk", "keyword"].forEach(function(space) { Converter.prototype[space] = function(vals) { return this.routeSpace(space, arguments); } }); module.exports = convert; /***/ }), /***/ "./node_modules/parse-headers/parse-headers.js": /*!*****************************************************!*\ !*** ./node_modules/parse-headers/parse-headers.js ***! \*****************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { var trim = __webpack_require__(/*! trim */ "./node_modules/trim/index.js") , forEach = __webpack_require__(/*! for-each */ "./node_modules/for-each/index.js") , isArray = function(arg) { return Object.prototype.toString.call(arg) === '[object Array]'; } module.exports = function (headers) { if (!headers) return {} var result = {} forEach( trim(headers).split('\n') , function (row) { var index = row.indexOf(':') , key = trim(row.slice(0, index)).toLowerCase() , value = trim(row.slice(index + 1)) if (typeof(result[key]) === 'undefined') { result[key] = value } else if (isArray(result[key])) { result[key].push(value) } else { result[key] = [ result[key], value ] } } ) return result } /***/ }), /***/ "./node_modules/process-nextick-args/index.js": /*!****************************************************!*\ !*** ./node_modules/process-nextick-args/index.js ***! \****************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; /* WEBPACK VAR INJECTION */(function(process) { if (!process.version || process.version.indexOf('v0.') === 0 || process.version.indexOf('v1.') === 0 && process.version.indexOf('v1.8.') !== 0) { module.exports = { nextTick: nextTick }; } else { module.exports = process } function nextTick(fn, arg1, arg2, arg3) { if (typeof fn !== 'function') { throw new TypeError('"callback" argument must be a function'); } var len = arguments.length; var args, i; switch (len) { case 0: case 1: return process.nextTick(fn); case 2: return process.nextTick(function afterTickOne() { fn.call(null, arg1); }); case 3: return process.nextTick(function afterTickTwo() { fn.call(null, arg1, arg2); }); case 4: return process.nextTick(function afterTickThree() { fn.call(null, arg1, arg2, arg3); }); default: args = new Array(len - 1); i = 0; while (i < args.length) { args[i++] = arguments[i]; } return process.nextTick(function afterTick() { fn.apply(null, args); }); } } /* WEBPACK VAR INJECTION */}.call(this, __webpack_require__(/*! ./../node-libs-browser/node_modules/process/browser.js */ "./node_modules/node-libs-browser/node_modules/process/browser.js"))) /***/ }), /***/ "./node_modules/prop-types/checkPropTypes.js": /*!***************************************************!*\ !*** ./node_modules/prop-types/checkPropTypes.js ***! \***************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; /** * Copyright (c) 2013-present, Facebook, Inc. * * This source code is licensed under the MIT license found in the * LICENSE file in the root directory of this source tree. */ var printWarning = function() {}; if (true) { var ReactPropTypesSecret = __webpack_require__(/*! ./lib/ReactPropTypesSecret */ "./node_modules/prop-types/lib/ReactPropTypesSecret.js"); var loggedTypeFailures = {}; printWarning = function(text) { var message = 'Warning: ' + text; if (typeof console !== 'undefined') { console.error(message); } try { // --- Welcome to debugging React --- // This error was thrown as a convenience so that you can use this stack // to find the callsite that caused this warning to fire. throw new Error(message); } catch (x) {} }; } /** * Assert that the values match with the type specs. * Error messages are memorized and will only be shown once. * * @param {object} typeSpecs Map of name to a ReactPropType * @param {object} values Runtime values that need to be type-checked * @param {string} location e.g. "prop", "context", "child context" * @param {string} componentName Name of the component for error messages. * @param {?Function} getStack Returns the component stack. * @private */ function checkPropTypes(typeSpecs, values, location, componentName, getStack) { if (true) { for (var typeSpecName in typeSpecs) { if (typeSpecs.hasOwnProperty(typeSpecName)) { var error; // Prop type validation may throw. In case they do, we don't want to // fail the render phase where it didn't fail before. So we log it. // After these have been cleaned up, we'll let them throw. try { // This is intentionally an invariant that gets caught. It's the same // behavior as without this statement except with a better message. if (typeof typeSpecs[typeSpecName] !== 'function') { var err = Error( (componentName || 'React class') + ': ' + location + ' type `' + typeSpecName + '` is invalid; ' + 'it must be a function, usually from the `prop-types` package, but received `' + typeof typeSpecs[typeSpecName] + '`.' ); err.name = 'Invariant Violation'; throw err; } error = typeSpecs[typeSpecName](values, typeSpecName, componentName, location, null, ReactPropTypesSecret); } catch (ex) { error = ex; } if (error && !(error instanceof Error)) { printWarning( (componentName || 'React class') + ': type specification of ' + location + ' `' + typeSpecName + '` is invalid; the type checker ' + 'function must return `null` or an `Error` but returned a ' + typeof error + '. ' + 'You may have forgotten to pass an argument to the type checker ' + 'creator (arrayOf, instanceOf, objectOf, oneOf, oneOfType, and ' + 'shape all require an argument).' ) } if (error instanceof Error && !(error.message in loggedTypeFailures)) { // Only monitor this failure once because there tends to be a lot of the // same error. loggedTypeFailures[error.message] = true; var stack = getStack ? getStack() : ''; printWarning( 'Failed ' + location + ' type: ' + error.message + (stack != null ? stack : '') ); } } } } } module.exports = checkPropTypes; /***/ }), /***/ "./node_modules/prop-types/factoryWithTypeCheckers.js": /*!************************************************************!*\ !*** ./node_modules/prop-types/factoryWithTypeCheckers.js ***! \************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; /** * Copyright (c) 2013-present, Facebook, Inc. * * This source code is licensed under the MIT license found in the * LICENSE file in the root directory of this source tree. */ var assign = __webpack_require__(/*! object-assign */ "./node_modules/object-assign/index.js"); var ReactPropTypesSecret = __webpack_require__(/*! ./lib/ReactPropTypesSecret */ "./node_modules/prop-types/lib/ReactPropTypesSecret.js"); var checkPropTypes = __webpack_require__(/*! ./checkPropTypes */ "./node_modules/prop-types/checkPropTypes.js"); var printWarning = function() {}; if (true) { printWarning = function(text) { var message = 'Warning: ' + text; if (typeof console !== 'undefined') { console.error(message); } try { // --- Welcome to debugging React --- // This error was thrown as a convenience so that you can use this stack // to find the callsite that caused this warning to fire. throw new Error(message); } catch (x) {} }; } function emptyFunctionThatReturnsNull() { return null; } module.exports = function(isValidElement, throwOnDirectAccess) { /* global Symbol */ var ITERATOR_SYMBOL = typeof Symbol === 'function' && Symbol.iterator; var FAUX_ITERATOR_SYMBOL = '@@iterator'; // Before Symbol spec. /** * Returns the iterator method function contained on the iterable object. * * Be sure to invoke the function with the iterable as context: * * var iteratorFn = getIteratorFn(myIterable); * if (iteratorFn) { * var iterator = iteratorFn.call(myIterable); * ... * } * * @param {?object} maybeIterable * @return {?function} */ function getIteratorFn(maybeIterable) { var iteratorFn = maybeIterable && (ITERATOR_SYMBOL && maybeIterable[ITERATOR_SYMBOL] || maybeIterable[FAUX_ITERATOR_SYMBOL]); if (typeof iteratorFn === 'function') { return iteratorFn; } } /** * Collection of methods that allow declaration and validation of props that are * supplied to React components. Example usage: * * var Props = require('ReactPropTypes'); * var MyArticle = React.createClass({ * propTypes: { * // An optional string prop named "description". * description: Props.string, * * // A required enum prop named "category". * category: Props.oneOf(['News','Photos']).isRequired, * * // A prop named "dialog" that requires an instance of Dialog. * dialog: Props.instanceOf(Dialog).isRequired * }, * render: function() { ... } * }); * * A more formal specification of how these methods are used: * * type := array|bool|func|object|number|string|oneOf([...])|instanceOf(...) * decl := ReactPropTypes.{type}(.isRequired)? * * Each and every declaration produces a function with the same signature. This * allows the creation of custom validation functions. For example: * * var MyLink = React.createClass({ * propTypes: { * // An optional string or URI prop named "href". * href: function(props, propName, componentName) { * var propValue = props[propName]; * if (propValue != null && typeof propValue !== 'string' && * !(propValue instanceof URI)) { * return new Error( * 'Expected a string or an URI for ' + propName + ' in ' + * componentName * ); * } * } * }, * render: function() {...} * }); * * @internal */ var ANONYMOUS = '<>'; // Important! // Keep this list in sync with production version in `./factoryWithThrowingShims.js`. var ReactPropTypes = { array: createPrimitiveTypeChecker('array'), bool: createPrimitiveTypeChecker('boolean'), func: createPrimitiveTypeChecker('function'), number: createPrimitiveTypeChecker('number'), object: createPrimitiveTypeChecker('object'), string: createPrimitiveTypeChecker('string'), symbol: createPrimitiveTypeChecker('symbol'), any: createAnyTypeChecker(), arrayOf: createArrayOfTypeChecker, element: createElementTypeChecker(), instanceOf: createInstanceTypeChecker, node: createNodeChecker(), objectOf: createObjectOfTypeChecker, oneOf: createEnumTypeChecker, oneOfType: createUnionTypeChecker, shape: createShapeTypeChecker, exact: createStrictShapeTypeChecker, }; /** * inlined Object.is polyfill to avoid requiring consumers ship their own * https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Object/is */ /*eslint-disable no-self-compare*/ function is(x, y) { // SameValue algorithm if (x === y) { // Steps 1-5, 7-10 // Steps 6.b-6.e: +0 != -0 return x !== 0 || 1 / x === 1 / y; } else { // Step 6.a: NaN == NaN return x !== x && y !== y; } } /*eslint-enable no-self-compare*/ /** * We use an Error-like object for backward compatibility as people may call * PropTypes directly and inspect their output. However, we don't use real * Errors anymore. We don't inspect their stack anyway, and creating them * is prohibitively expensive if they are created too often, such as what * happens in oneOfType() for any type before the one that matched. */ function PropTypeError(message) { this.message = message; this.stack = ''; } // Make `instanceof Error` still work for returned errors. PropTypeError.prototype = Error.prototype; function createChainableTypeChecker(validate) { if (true) { var manualPropTypeCallCache = {}; var manualPropTypeWarningCount = 0; } function checkType(isRequired, props, propName, componentName, location, propFullName, secret) { componentName = componentName || ANONYMOUS; propFullName = propFullName || propName; if (secret !== ReactPropTypesSecret) { if (throwOnDirectAccess) { // New behavior only for users of `prop-types` package var err = new Error( 'Calling PropTypes validators directly is not supported by the `prop-types` package. ' + 'Use `PropTypes.checkPropTypes()` to call them. ' + 'Read more at http://fb.me/use-check-prop-types' ); err.name = 'Invariant Violation'; throw err; } else if ( true && typeof console !== 'undefined') { // Old behavior for people using React.PropTypes var cacheKey = componentName + ':' + propName; if ( !manualPropTypeCallCache[cacheKey] && // Avoid spamming the console because they are often not actionable except for lib authors manualPropTypeWarningCount < 3 ) { printWarning( 'You are manually calling a React.PropTypes validation ' + 'function for the `' + propFullName + '` prop on `' + componentName + '`. This is deprecated ' + 'and will throw in the standalone `prop-types` package. ' + 'You may be seeing this warning due to a third-party PropTypes ' + 'library. See https://fb.me/react-warning-dont-call-proptypes ' + 'for details.' ); manualPropTypeCallCache[cacheKey] = true; manualPropTypeWarningCount++; } } } if (props[propName] == null) { if (isRequired) { if (props[propName] === null) { return new PropTypeError('The ' + location + ' `' + propFullName + '` is marked as required ' + ('in `' + componentName + '`, but its value is `null`.')); } return new PropTypeError('The ' + location + ' `' + propFullName + '` is marked as required in ' + ('`' + componentName + '`, but its value is `undefined`.')); } return null; } else { return validate(props, propName, componentName, location, propFullName); } } var chainedCheckType = checkType.bind(null, false); chainedCheckType.isRequired = checkType.bind(null, true); return chainedCheckType; } function createPrimitiveTypeChecker(expectedType) { function validate(props, propName, componentName, location, propFullName, secret) { var propValue = props[propName]; var propType = getPropType(propValue); if (propType !== expectedType) { // `propValue` being instance of, say, date/regexp, pass the 'object' // check, but we can offer a more precise error message here rather than // 'of type `object`'. var preciseType = getPreciseType(propValue); return new PropTypeError('Invalid ' + location + ' `' + propFullName + '` of type ' + ('`' + preciseType + '` supplied to `' + componentName + '`, expected ') + ('`' + expectedType + '`.')); } return null; } return createChainableTypeChecker(validate); } function createAnyTypeChecker() { return createChainableTypeChecker(emptyFunctionThatReturnsNull); } function createArrayOfTypeChecker(typeChecker) { function validate(props, propName, componentName, location, propFullName) { if (typeof typeChecker !== 'function') { return new PropTypeError('Property `' + propFullName + '` of component `' + componentName + '` has invalid PropType notation inside arrayOf.'); } var propValue = props[propName]; if (!Array.isArray(propValue)) { var propType = getPropType(propValue); return new PropTypeError('Invalid ' + location + ' `' + propFullName + '` of type ' + ('`' + propType + '` supplied to `' + componentName + '`, expected an array.')); } for (var i = 0; i < propValue.length; i++) { var error = typeChecker(propValue, i, componentName, location, propFullName + '[' + i + ']', ReactPropTypesSecret); if (error instanceof Error) { return error; } } return null; } return createChainableTypeChecker(validate); } function createElementTypeChecker() { function validate(props, propName, componentName, location, propFullName) { var propValue = props[propName]; if (!isValidElement(propValue)) { var propType = getPropType(propValue); return new PropTypeError('Invalid ' + location + ' `' + propFullName + '` of type ' + ('`' + propType + '` supplied to `' + componentName + '`, expected a single ReactElement.')); } return null; } return createChainableTypeChecker(validate); } function createInstanceTypeChecker(expectedClass) { function validate(props, propName, componentName, location, propFullName) { if (!(props[propName] instanceof expectedClass)) { var expectedClassName = expectedClass.name || ANONYMOUS; var actualClassName = getClassName(props[propName]); return new PropTypeError('Invalid ' + location + ' `' + propFullName + '` of type ' + ('`' + actualClassName + '` supplied to `' + componentName + '`, expected ') + ('instance of `' + expectedClassName + '`.')); } return null; } return createChainableTypeChecker(validate); } function createEnumTypeChecker(expectedValues) { if (!Array.isArray(expectedValues)) { true ? printWarning('Invalid argument supplied to oneOf, expected an instance of array.') : undefined; return emptyFunctionThatReturnsNull; } function validate(props, propName, componentName, location, propFullName) { var propValue = props[propName]; for (var i = 0; i < expectedValues.length; i++) { if (is(propValue, expectedValues[i])) { return null; } } var valuesString = JSON.stringify(expectedValues); return new PropTypeError('Invalid ' + location + ' `' + propFullName + '` of value `' + propValue + '` ' + ('supplied to `' + componentName + '`, expected one of ' + valuesString + '.')); } return createChainableTypeChecker(validate); } function createObjectOfTypeChecker(typeChecker) { function validate(props, propName, componentName, location, propFullName) { if (typeof typeChecker !== 'function') { return new PropTypeError('Property `' + propFullName + '` of component `' + componentName + '` has invalid PropType notation inside objectOf.'); } var propValue = props[propName]; var propType = getPropType(propValue); if (propType !== 'object') { return new PropTypeError('Invalid ' + location + ' `' + propFullName + '` of type ' + ('`' + propType + '` supplied to `' + componentName + '`, expected an object.')); } for (var key in propValue) { if (propValue.hasOwnProperty(key)) { var error = typeChecker(propValue, key, componentName, location, propFullName + '.' + key, ReactPropTypesSecret); if (error instanceof Error) { return error; } } } return null; } return createChainableTypeChecker(validate); } function createUnionTypeChecker(arrayOfTypeCheckers) { if (!Array.isArray(arrayOfTypeCheckers)) { true ? printWarning('Invalid argument supplied to oneOfType, expected an instance of array.') : undefined; return emptyFunctionThatReturnsNull; } for (var i = 0; i < arrayOfTypeCheckers.length; i++) { var checker = arrayOfTypeCheckers[i]; if (typeof checker !== 'function') { printWarning( 'Invalid argument supplied to oneOfType. Expected an array of check functions, but ' + 'received ' + getPostfixForTypeWarning(checker) + ' at index ' + i + '.' ); return emptyFunctionThatReturnsNull; } } function validate(props, propName, componentName, location, propFullName) { for (var i = 0; i < arrayOfTypeCheckers.length; i++) { var checker = arrayOfTypeCheckers[i]; if (checker(props, propName, componentName, location, propFullName, ReactPropTypesSecret) == null) { return null; } } return new PropTypeError('Invalid ' + location + ' `' + propFullName + '` supplied to ' + ('`' + componentName + '`.')); } return createChainableTypeChecker(validate); } function createNodeChecker() { function validate(props, propName, componentName, location, propFullName) { if (!isNode(props[propName])) { return new PropTypeError('Invalid ' + location + ' `' + propFullName + '` supplied to ' + ('`' + componentName + '`, expected a ReactNode.')); } return null; } return createChainableTypeChecker(validate); } function createShapeTypeChecker(shapeTypes) { function validate(props, propName, componentName, location, propFullName) { var propValue = props[propName]; var propType = getPropType(propValue); if (propType !== 'object') { return new PropTypeError('Invalid ' + location + ' `' + propFullName + '` of type `' + propType + '` ' + ('supplied to `' + componentName + '`, expected `object`.')); } for (var key in shapeTypes) { var checker = shapeTypes[key]; if (!checker) { continue; } var error = checker(propValue, key, componentName, location, propFullName + '.' + key, ReactPropTypesSecret); if (error) { return error; } } return null; } return createChainableTypeChecker(validate); } function createStrictShapeTypeChecker(shapeTypes) { function validate(props, propName, componentName, location, propFullName) { var propValue = props[propName]; var propType = getPropType(propValue); if (propType !== 'object') { return new PropTypeError('Invalid ' + location + ' `' + propFullName + '` of type `' + propType + '` ' + ('supplied to `' + componentName + '`, expected `object`.')); } // We need to check all keys in case some are required but missing from // props. var allKeys = assign({}, props[propName], shapeTypes); for (var key in allKeys) { var checker = shapeTypes[key]; if (!checker) { return new PropTypeError( 'Invalid ' + location + ' `' + propFullName + '` key `' + key + '` supplied to `' + componentName + '`.' + '\nBad object: ' + JSON.stringify(props[propName], null, ' ') + '\nValid keys: ' + JSON.stringify(Object.keys(shapeTypes), null, ' ') ); } var error = checker(propValue, key, componentName, location, propFullName + '.' + key, ReactPropTypesSecret); if (error) { return error; } } return null; } return createChainableTypeChecker(validate); } function isNode(propValue) { switch (typeof propValue) { case 'number': case 'string': case 'undefined': return true; case 'boolean': return !propValue; case 'object': if (Array.isArray(propValue)) { return propValue.every(isNode); } if (propValue === null || isValidElement(propValue)) { return true; } var iteratorFn = getIteratorFn(propValue); if (iteratorFn) { var iterator = iteratorFn.call(propValue); var step; if (iteratorFn !== propValue.entries) { while (!(step = iterator.next()).done) { if (!isNode(step.value)) { return false; } } } else { // Iterator will provide entry [k,v] tuples rather than values. while (!(step = iterator.next()).done) { var entry = step.value; if (entry) { if (!isNode(entry[1])) { return false; } } } } } else { return false; } return true; default: return false; } } function isSymbol(propType, propValue) { // Native Symbol. if (propType === 'symbol') { return true; } // 19.4.3.5 Symbol.prototype[@@toStringTag] === 'Symbol' if (propValue['@@toStringTag'] === 'Symbol') { return true; } // Fallback for non-spec compliant Symbols which are polyfilled. if (typeof Symbol === 'function' && propValue instanceof Symbol) { return true; } return false; } // Equivalent of `typeof` but with special handling for array and regexp. function getPropType(propValue) { var propType = typeof propValue; if (Array.isArray(propValue)) { return 'array'; } if (propValue instanceof RegExp) { // Old webkits (at least until Android 4.0) return 'function' rather than // 'object' for typeof a RegExp. We'll normalize this here so that /bla/ // passes PropTypes.object. return 'object'; } if (isSymbol(propType, propValue)) { return 'symbol'; } return propType; } // This handles more types than `getPropType`. Only used for error messages. // See `createPrimitiveTypeChecker`. function getPreciseType(propValue) { if (typeof propValue === 'undefined' || propValue === null) { return '' + propValue; } var propType = getPropType(propValue); if (propType === 'object') { if (propValue instanceof Date) { return 'date'; } else if (propValue instanceof RegExp) { return 'regexp'; } } return propType; } // Returns a string that is postfixed to a warning about an invalid type. // For example, "undefined" or "of type array" function getPostfixForTypeWarning(value) { var type = getPreciseType(value); switch (type) { case 'array': case 'object': return 'an ' + type; case 'boolean': case 'date': case 'regexp': return 'a ' + type; default: return type; } } // Returns class name of the object, if any. function getClassName(propValue) { if (!propValue.constructor || !propValue.constructor.name) { return ANONYMOUS; } return propValue.constructor.name; } ReactPropTypes.checkPropTypes = checkPropTypes; ReactPropTypes.PropTypes = ReactPropTypes; return ReactPropTypes; }; /***/ }), /***/ "./node_modules/prop-types/index.js": /*!******************************************!*\ !*** ./node_modules/prop-types/index.js ***! \******************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { /** * Copyright (c) 2013-present, Facebook, Inc. * * This source code is licensed under the MIT license found in the * LICENSE file in the root directory of this source tree. */ if (true) { var REACT_ELEMENT_TYPE = (typeof Symbol === 'function' && Symbol.for && Symbol.for('react.element')) || 0xeac7; var isValidElement = function(object) { return typeof object === 'object' && object !== null && object.$$typeof === REACT_ELEMENT_TYPE; }; // By explicitly using `prop-types` you are opting into new development behavior. // http://fb.me/prop-types-in-prod var throwOnDirectAccess = true; module.exports = __webpack_require__(/*! ./factoryWithTypeCheckers */ "./node_modules/prop-types/factoryWithTypeCheckers.js")(isValidElement, throwOnDirectAccess); } else {} /***/ }), /***/ "./node_modules/prop-types/lib/ReactPropTypesSecret.js": /*!*************************************************************!*\ !*** ./node_modules/prop-types/lib/ReactPropTypesSecret.js ***! \*************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; /** * Copyright (c) 2013-present, Facebook, Inc. * * This source code is licensed under the MIT license found in the * LICENSE file in the root directory of this source tree. */ var ReactPropTypesSecret = 'SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED'; module.exports = ReactPropTypesSecret; /***/ }), /***/ "./node_modules/query-string/index.js": /*!********************************************!*\ !*** ./node_modules/query-string/index.js ***! \********************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; var strictUriEncode = __webpack_require__(/*! strict-uri-encode */ "./node_modules/strict-uri-encode/index.js"); var objectAssign = __webpack_require__(/*! object-assign */ "./node_modules/object-assign/index.js"); var decodeComponent = __webpack_require__(/*! decode-uri-component */ "./node_modules/decode-uri-component/index.js"); function encoderForArrayFormat(opts) { switch (opts.arrayFormat) { case 'index': return function (key, value, index) { return value === null ? [ encode(key, opts), '[', index, ']' ].join('') : [ encode(key, opts), '[', encode(index, opts), ']=', encode(value, opts) ].join(''); }; case 'bracket': return function (key, value) { return value === null ? encode(key, opts) : [ encode(key, opts), '[]=', encode(value, opts) ].join(''); }; default: return function (key, value) { return value === null ? encode(key, opts) : [ encode(key, opts), '=', encode(value, opts) ].join(''); }; } } function parserForArrayFormat(opts) { var result; switch (opts.arrayFormat) { case 'index': return function (key, value, accumulator) { result = /\[(\d*)\]$/.exec(key); key = key.replace(/\[\d*\]$/, ''); if (!result) { accumulator[key] = value; return; } if (accumulator[key] === undefined) { accumulator[key] = {}; } accumulator[key][result[1]] = value; }; case 'bracket': return function (key, value, accumulator) { result = /(\[\])$/.exec(key); key = key.replace(/\[\]$/, ''); if (!result) { accumulator[key] = value; return; } else if (accumulator[key] === undefined) { accumulator[key] = [value]; return; } accumulator[key] = [].concat(accumulator[key], value); }; default: return function (key, value, accumulator) { if (accumulator[key] === undefined) { accumulator[key] = value; return; } accumulator[key] = [].concat(accumulator[key], value); }; } } function encode(value, opts) { if (opts.encode) { return opts.strict ? strictUriEncode(value) : encodeURIComponent(value); } return value; } function keysSorter(input) { if (Array.isArray(input)) { return input.sort(); } else if (typeof input === 'object') { return keysSorter(Object.keys(input)).sort(function (a, b) { return Number(a) - Number(b); }).map(function (key) { return input[key]; }); } return input; } function extract(str) { var queryStart = str.indexOf('?'); if (queryStart === -1) { return ''; } return str.slice(queryStart + 1); } function parse(str, opts) { opts = objectAssign({arrayFormat: 'none'}, opts); var formatter = parserForArrayFormat(opts); // Create an object with no prototype // https://github.com/sindresorhus/query-string/issues/47 var ret = Object.create(null); if (typeof str !== 'string') { return ret; } str = str.trim().replace(/^[?#&]/, ''); if (!str) { return ret; } str.split('&').forEach(function (param) { var parts = param.replace(/\+/g, ' ').split('='); // Firefox (pre 40) decodes `%3D` to `=` // https://github.com/sindresorhus/query-string/pull/37 var key = parts.shift(); var val = parts.length > 0 ? parts.join('=') : undefined; // missing `=` should be `null`: // http://w3.org/TR/2012/WD-url-20120524/#collect-url-parameters val = val === undefined ? null : decodeComponent(val); formatter(decodeComponent(key), val, ret); }); return Object.keys(ret).sort().reduce(function (result, key) { var val = ret[key]; if (Boolean(val) && typeof val === 'object' && !Array.isArray(val)) { // Sort object keys, not values result[key] = keysSorter(val); } else { result[key] = val; } return result; }, Object.create(null)); } exports.extract = extract; exports.parse = parse; exports.stringify = function (obj, opts) { var defaults = { encode: true, strict: true, arrayFormat: 'none' }; opts = objectAssign(defaults, opts); if (opts.sort === false) { opts.sort = function () {}; } var formatter = encoderForArrayFormat(opts); return obj ? Object.keys(obj).sort(opts.sort).map(function (key) { var val = obj[key]; if (val === undefined) { return ''; } if (val === null) { return encode(key, opts); } if (Array.isArray(val)) { var result = []; val.slice().forEach(function (val2) { if (val2 === undefined) { return; } result.push(formatter(key, val2, result.length)); }); return result.join('&'); } return encode(key, opts) + '=' + encode(val, opts); }).filter(function (x) { return x.length > 0; }).join('&') : ''; }; exports.parseUrl = function (str, opts) { return { url: str.split('?')[0] || '', query: parse(extract(str), opts) }; }; /***/ }), /***/ "./node_modules/querystring-es3/decode.js": /*!************************************************!*\ !*** ./node_modules/querystring-es3/decode.js ***! \************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; // Copyright Joyent, Inc. and other Node contributors. // // Permission is hereby granted, free of charge, to any person obtaining a // copy of this software and associated documentation files (the // "Software"), to deal in the Software without restriction, including // without limitation the rights to use, copy, modify, merge, publish, // distribute, sublicense, and/or sell copies of the Software, and to permit // persons to whom the Software is furnished to do so, subject to the // following conditions: // // The above copyright notice and this permission notice shall be included // in all copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS // OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF // MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN // NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, // DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR // OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE // USE OR OTHER DEALINGS IN THE SOFTWARE. // If obj.hasOwnProperty has been overridden, then calling // obj.hasOwnProperty(prop) will break. // See: https://github.com/joyent/node/issues/1707 function hasOwnProperty(obj, prop) { return Object.prototype.hasOwnProperty.call(obj, prop); } module.exports = function(qs, sep, eq, options) { sep = sep || '&'; eq = eq || '='; var obj = {}; if (typeof qs !== 'string' || qs.length === 0) { return obj; } var regexp = /\+/g; qs = qs.split(sep); var maxKeys = 1000; if (options && typeof options.maxKeys === 'number') { maxKeys = options.maxKeys; } var len = qs.length; // maxKeys <= 0 means that we should not limit keys count if (maxKeys > 0 && len > maxKeys) { len = maxKeys; } for (var i = 0; i < len; ++i) { var x = qs[i].replace(regexp, '%20'), idx = x.indexOf(eq), kstr, vstr, k, v; if (idx >= 0) { kstr = x.substr(0, idx); vstr = x.substr(idx + 1); } else { kstr = x; vstr = ''; } k = decodeURIComponent(kstr); v = decodeURIComponent(vstr); if (!hasOwnProperty(obj, k)) { obj[k] = v; } else if (isArray(obj[k])) { obj[k].push(v); } else { obj[k] = [obj[k], v]; } } return obj; }; var isArray = Array.isArray || function (xs) { return Object.prototype.toString.call(xs) === '[object Array]'; }; /***/ }), /***/ "./node_modules/querystring-es3/encode.js": /*!************************************************!*\ !*** ./node_modules/querystring-es3/encode.js ***! \************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; // Copyright Joyent, Inc. and other Node contributors. // // Permission is hereby granted, free of charge, to any person obtaining a // copy of this software and associated documentation files (the // "Software"), to deal in the Software without restriction, including // without limitation the rights to use, copy, modify, merge, publish, // distribute, sublicense, and/or sell copies of the Software, and to permit // persons to whom the Software is furnished to do so, subject to the // following conditions: // // The above copyright notice and this permission notice shall be included // in all copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS // OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF // MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN // NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, // DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR // OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE // USE OR OTHER DEALINGS IN THE SOFTWARE. var stringifyPrimitive = function(v) { switch (typeof v) { case 'string': return v; case 'boolean': return v ? 'true' : 'false'; case 'number': return isFinite(v) ? v : ''; default: return ''; } }; module.exports = function(obj, sep, eq, name) { sep = sep || '&'; eq = eq || '='; if (obj === null) { obj = undefined; } if (typeof obj === 'object') { return map(objectKeys(obj), function(k) { var ks = encodeURIComponent(stringifyPrimitive(k)) + eq; if (isArray(obj[k])) { return map(obj[k], function(v) { return ks + encodeURIComponent(stringifyPrimitive(v)); }).join(sep); } else { return ks + encodeURIComponent(stringifyPrimitive(obj[k])); } }).join(sep); } if (!name) return ''; return encodeURIComponent(stringifyPrimitive(name)) + eq + encodeURIComponent(stringifyPrimitive(obj)); }; var isArray = Array.isArray || function (xs) { return Object.prototype.toString.call(xs) === '[object Array]'; }; function map (xs, f) { if (xs.map) return xs.map(f); var res = []; for (var i = 0; i < xs.length; i++) { res.push(f(xs[i], i)); } return res; } var objectKeys = Object.keys || function (obj) { var res = []; for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) res.push(key); } return res; }; /***/ }), /***/ "./node_modules/querystring-es3/index.js": /*!***********************************************!*\ !*** ./node_modules/querystring-es3/index.js ***! \***********************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; exports.decode = exports.parse = __webpack_require__(/*! ./decode */ "./node_modules/querystring-es3/decode.js"); exports.encode = exports.stringify = __webpack_require__(/*! ./encode */ "./node_modules/querystring-es3/encode.js"); /***/ }), /***/ "./node_modules/raw-loader/index.js!./node_modules/scratch-render/src/shaders/sprite.frag": /*!***************************************************************************************!*\ !*** ./node_modules/raw-loader!./node_modules/scratch-render/src/shaders/sprite.frag ***! \***************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports) { module.exports = "precision mediump float;\n\nuniform float u_fudge;\n\n#ifdef DRAW_MODE_silhouette\nuniform vec4 u_silhouetteColor;\n#else // DRAW_MODE_silhouette\n# ifdef ENABLE_color\nuniform float u_color;\n# endif // ENABLE_color\n# ifdef ENABLE_brightness\nuniform float u_brightness;\n# endif // ENABLE_brightness\n#endif // DRAW_MODE_silhouette\n\n#ifdef DRAW_MODE_colorMask\nuniform vec3 u_colorMask;\nuniform float u_colorMaskTolerance;\n#endif // DRAW_MODE_colorMask\n\n#ifdef ENABLE_fisheye\nuniform float u_fisheye;\n#endif // ENABLE_fisheye\n#ifdef ENABLE_whirl\nuniform float u_whirl;\n#endif // ENABLE_whirl\n#ifdef ENABLE_pixelate\nuniform float u_pixelate;\nuniform vec2 u_skinSize;\n#endif // ENABLE_pixelate\n#ifdef ENABLE_mosaic\nuniform float u_mosaic;\n#endif // ENABLE_mosaic\n#ifdef ENABLE_ghost\nuniform float u_ghost;\n#endif // ENABLE_ghost\n\n#ifdef DRAW_MODE_lineSample\nuniform vec4 u_lineColor;\nuniform float u_capScale;\nuniform float u_aliasAmount;\n#endif // DRAW_MODE_lineSample\n\nuniform sampler2D u_skin;\n\nvarying vec2 v_texCoord;\n\n#if !defined(DRAW_MODE_silhouette) && (defined(ENABLE_color) || defined(ENABLE_brightness))\n// Branchless color conversions based on code from:\n// http://www.chilliant.com/rgb2hsv.html by Ian Taylor\n// Based in part on work by Sam Hocevar and Emil Persson\n// See also: https://en.wikipedia.org/wiki/HSL_and_HSV#Formal_derivation\n\n// Smaller values can cause problems with \"color\" and \"brightness\" effects on some mobile devices\nconst float epsilon = 1e-3;\n\n// Convert an RGB color to Hue, Saturation, and Value.\n// All components of input and output are expected to be in the [0,1] range.\nvec3 convertRGB2HSV(vec3 rgb)\n{\n\t// Hue calculation has 3 cases, depending on which RGB component is largest, and one of those cases involves a \"mod\"\n\t// operation. In order to avoid that \"mod\" we split the M==R case in two: one for GG. The B>G case\n\t// will be calculated in the negative and fed through abs() in the hue calculation at the end.\n\t// See also: https://en.wikipedia.org/wiki/HSL_and_HSV#Hue_and_chroma\n\tconst vec4 hueOffsets = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0);\n\n\t// temp1.xy = sort B & G (largest first)\n\t// temp1.z = the hue offset we'll use if it turns out that R is the largest component (M==R)\n\t// temp1.w = the hue offset we'll use if it turns out that R is not the largest component (M==G or M==B)\n\tvec4 temp1 = rgb.b > rgb.g ? vec4(rgb.bg, hueOffsets.wz) : vec4(rgb.gb, hueOffsets.xy);\n\n\t// temp2.x = the largest component of RGB (\"M\" / \"Max\")\n\t// temp2.yw = the smaller components of RGB, ordered for the hue calculation (not necessarily sorted by magnitude!)\n\t// temp2.z = the hue offset we'll use in the hue calculation\n\tvec4 temp2 = rgb.r > temp1.x ? vec4(rgb.r, temp1.yzx) : vec4(temp1.xyw, rgb.r);\n\n\t// m = the smallest component of RGB (\"min\")\n\tfloat m = min(temp2.y, temp2.w);\n\n\t// Chroma = M - m\n\tfloat C = temp2.x - m;\n\n\t// Value = M\n\tfloat V = temp2.x;\n\n\treturn vec3(\n\t\tabs(temp2.z + (temp2.w - temp2.y) / (6.0 * C + epsilon)), // Hue\n\t\tC / (temp2.x + epsilon), // Saturation\n\t\tV); // Value\n}\n\nvec3 convertHue2RGB(float hue)\n{\n\tfloat r = abs(hue * 6.0 - 3.0) - 1.0;\n\tfloat g = 2.0 - abs(hue * 6.0 - 2.0);\n\tfloat b = 2.0 - abs(hue * 6.0 - 4.0);\n\treturn clamp(vec3(r, g, b), 0.0, 1.0);\n}\n\nvec3 convertHSV2RGB(vec3 hsv)\n{\n\tvec3 rgb = convertHue2RGB(hsv.x);\n\tfloat c = hsv.z * hsv.y;\n\treturn rgb * c + hsv.z - c;\n}\n#endif // !defined(DRAW_MODE_silhouette) && (defined(ENABLE_color) || defined(ENABLE_brightness))\n\nconst vec2 kCenter = vec2(0.5, 0.5);\n\nvoid main()\n{\n\t#ifndef DRAW_MODE_lineSample\n\tvec2 texcoord0 = v_texCoord;\n\n\t#ifdef ENABLE_mosaic\n\ttexcoord0 = fract(u_mosaic * texcoord0);\n\t#endif // ENABLE_mosaic\n\n\t#ifdef ENABLE_pixelate\n\t{\n\t\t// TODO: clean up \"pixel\" edges\n\t\tvec2 pixelTexelSize = u_skinSize / u_pixelate;\n\t\ttexcoord0 = (floor(texcoord0 * pixelTexelSize) + kCenter) / pixelTexelSize;\n\t}\n\t#endif // ENABLE_pixelate\n\n\t#ifdef ENABLE_whirl\n\t{\n\t\tconst float kRadius = 0.5;\n\t\tvec2 offset = texcoord0 - kCenter;\n\t\tfloat offsetMagnitude = length(offset);\n\t\tfloat whirlFactor = max(1.0 - (offsetMagnitude / kRadius), 0.0);\n\t\tfloat whirlActual = u_whirl * whirlFactor * whirlFactor;\n\t\tfloat sinWhirl = sin(whirlActual);\n\t\tfloat cosWhirl = cos(whirlActual);\n\t\tmat2 rotationMatrix = mat2(\n\t\t\tcosWhirl, -sinWhirl,\n\t\t\tsinWhirl, cosWhirl\n\t\t);\n\n\t\ttexcoord0 = rotationMatrix * offset + kCenter;\n\t}\n\t#endif // ENABLE_whirl\n\n\t#ifdef ENABLE_fisheye\n\t{\n\t\tvec2 vec = (texcoord0 - kCenter) / kCenter;\n\t\tfloat vecLength = length(vec);\n\t\tfloat r = pow(min(vecLength, 1.0), u_fisheye) * max(1.0, vecLength);\n\t\tvec2 unit = vec / vecLength;\n\n\t\ttexcoord0 = kCenter + r * unit * kCenter;\n\t}\n\t#endif // ENABLE_fisheye\n\n\tgl_FragColor = texture2D(u_skin, texcoord0);\n\n #ifdef ENABLE_ghost\n gl_FragColor.a *= u_ghost;\n #endif // ENABLE_ghost\n\n\t#ifdef DRAW_MODE_silhouette\n\t// switch to u_silhouetteColor only AFTER the alpha test\n\tgl_FragColor = u_silhouetteColor;\n\t#else // DRAW_MODE_silhouette\n\n\t#if defined(ENABLE_color) || defined(ENABLE_brightness)\n\t{\n\t\tvec3 hsv = convertRGB2HSV(gl_FragColor.xyz);\n\n\t\t#ifdef ENABLE_color\n\t\t{\n\t\t\t// this code forces grayscale values to be slightly saturated\n\t\t\t// so that some slight change of hue will be visible\n\t\t\tconst float minLightness = 0.11 / 2.0;\n\t\t\tconst float minSaturation = 0.09;\n\t\t\tif (hsv.z < minLightness) hsv = vec3(0.0, 1.0, minLightness);\n\t\t\telse if (hsv.y < minSaturation) hsv = vec3(0.0, minSaturation, hsv.z);\n\n\t\t\thsv.x = mod(hsv.x + u_color, 1.0);\n\t\t\tif (hsv.x < 0.0) hsv.x += 1.0;\n\t\t}\n\t\t#endif // ENABLE_color\n\n\t\t#ifdef ENABLE_brightness\n\t\thsv.z = clamp(hsv.z + u_brightness, 0.0, 1.0);\n\t\t#endif // ENABLE_brightness\n\n\t\tgl_FragColor.rgb = convertHSV2RGB(hsv);\n\t}\n\t#endif // defined(ENABLE_color) || defined(ENABLE_brightness)\n\n\t#ifdef DRAW_MODE_colorMask\n\tvec3 maskDistance = abs(gl_FragColor.rgb - u_colorMask);\n\tvec3 colorMaskTolerance = vec3(u_colorMaskTolerance, u_colorMaskTolerance, u_colorMaskTolerance);\n\tif (any(greaterThan(maskDistance, colorMaskTolerance)))\n\t{\n\t\tdiscard;\n\t}\n\t#endif // DRAW_MODE_colorMask\n\n\t// WebGL defaults to premultiplied alpha\n\t#ifndef DRAW_MODE_stamp\n\tgl_FragColor.rgb *= gl_FragColor.a;\n\t#endif // DRAW_MODE_stamp\n\n\t#endif // DRAW_MODE_silhouette\n\n\t#else // DRAW_MODE_lineSample\n\tgl_FragColor = u_lineColor;\n\tgl_FragColor.a *= clamp(\n\t\t// Scale the capScale a little to have an aliased region.\n\t\t(u_capScale + u_aliasAmount -\n\t\t\tu_capScale * 2.0 * distance(v_texCoord, vec2(0.5, 0.5))\n\t\t) / (u_aliasAmount + 1.0),\n\t\t0.0,\n\t\t1.0\n\t);\n\t#endif // 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vec4(a_position, 0, 1);\n #endif\n v_texCoord = a_texCoord;\n}\n" /***/ }), /***/ "./node_modules/raw-loader/index.js!./src/lib/default-project/09dc888b0b7df19f70d81588ae73420e.svg": /*!************************************************************************************************!*\ !*** ./node_modules/raw-loader!./src/lib/default-project/09dc888b0b7df19f70d81588ae73420e.svg ***! \************************************************************************************************/ /*! no static exports found */ /***/ (function(module, exports) { module.exports = "\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n" /***/ }), /***/ "./node_modules/raw-loader/index.js!./src/lib/default-project/3696356a03a8d938318876a593572843.svg": /*!************************************************************************************************!*\ !*** 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"./node_modules/react-contextmenu/es6/AbstractMenu.js": /*!************************************************************!*\ !*** ./node_modules/react-contextmenu/es6/AbstractMenu.js ***! \************************************************************/ /*! exports provided: default */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! react */ "./node_modules/react/index.js"); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(react__WEBPACK_IMPORTED_MODULE_0__); /* harmony import */ var prop_types__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! prop-types */ "./node_modules/prop-types/index.js"); /* harmony import */ var prop_types__WEBPACK_IMPORTED_MODULE_1___default = /*#__PURE__*/__webpack_require__.n(prop_types__WEBPACK_IMPORTED_MODULE_1__); /* harmony import */ var _MenuItem__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! ./MenuItem */ "./node_modules/react-contextmenu/es6/MenuItem.js"); function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } function _possibleConstructorReturn(self, call) { if (!self) { throw new ReferenceError("this hasn't been initialised - super() hasn't been called"); } return call && (typeof call === "object" || typeof call === "function") ? call : self; } function _inherits(subClass, superClass) { if (typeof superClass !== "function" && superClass !== null) { throw new TypeError("Super expression must either be null or a function, not " + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; } var AbstractMenu = function (_Component) { _inherits(AbstractMenu, _Component); function AbstractMenu(props) { _classCallCheck(this, AbstractMenu); var _this = _possibleConstructorReturn(this, (AbstractMenu.__proto__ || Object.getPrototypeOf(AbstractMenu)).call(this, props)); _initialiseProps.call(_this); _this.seletedItemRef = null; _this.state = { selectedItem: null, forceSubMenuOpen: false }; return _this; } return AbstractMenu; }(react__WEBPACK_IMPORTED_MODULE_0__["Component"]); AbstractMenu.propTypes = { children: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.node.isRequired }; var _initialiseProps = function _initialiseProps() { var _this2 = this; this.handleKeyNavigation = function (e) { // check for isVisible strictly here as it might be undefined when this code executes in the context of SubMenu // but we only need to check when it runs in the ContextMenu context if (_this2.state.isVisible === false) { return; } switch (e.keyCode) { case 37: // left arrow case 27: // escape e.preventDefault(); _this2.hideMenu(e); break; case 38: // up arrow e.preventDefault(); _this2.selectChildren(true); break; case 40: // down arrow e.preventDefault(); _this2.selectChildren(false); break; case 39: // right arrow _this2.tryToOpenSubMenu(e); break; case 13: // enter e.preventDefault(); _this2.tryToOpenSubMenu(e); { // determine the selected item is disabled or not var disabled = _this2.seletedItemRef && _this2.seletedItemRef.props && _this2.seletedItemRef.props.disabled; if (_this2.seletedItemRef && _this2.seletedItemRef.ref instanceof HTMLElement && !disabled) { _this2.seletedItemRef.ref.click(); } else { _this2.hideMenu(e); } } break; default: // do nothing } }; this.handleForceClose = function () { _this2.setState({ forceSubMenuOpen: false }); }; this.tryToOpenSubMenu = function (e) { if (_this2.state.selectedItem && _this2.state.selectedItem.type === _this2.getSubMenuType()) { e.preventDefault(); _this2.setState({ forceSubMenuOpen: true }); } }; this.selectChildren = function (forward) { var selectedItem = _this2.state.selectedItem; var children = []; var childCollector = function childCollector(child) { // child can be empty in case you do conditional rendering of components, in which // case it should not be accounted for as a real child if (!child) { return; } if ([_MenuItem__WEBPACK_IMPORTED_MODULE_2__["default"], _this2.getSubMenuType()].indexOf(child.type) < 0) { // Maybe the MenuItem or SubMenu is capsuled in a wrapper div or something else react__WEBPACK_IMPORTED_MODULE_0___default.a.Children.forEach(child.props.children, childCollector); } else if (!child.props.divider) { children.push(child); } }; react__WEBPACK_IMPORTED_MODULE_0___default.a.Children.forEach(_this2.props.children, childCollector); var currentIndex = children.indexOf(selectedItem); if (currentIndex < 0) { _this2.setState({ selectedItem: forward ? children[children.length - 1] : children[0], forceSubMenuOpen: false }); } else if (forward) { _this2.setState({ selectedItem: children[currentIndex - 1 < 0 ? children.length - 1 : currentIndex - 1], forceSubMenuOpen: false }); } else { _this2.setState({ selectedItem: children[currentIndex + 1 < children.length ? currentIndex + 1 : 0], forceSubMenuOpen: false }); } }; this.onChildMouseMove = function (child) { if (_this2.state.selectedItem !== child) { _this2.setState({ selectedItem: child, forceSubMenuOpen: false }); } }; this.onChildMouseLeave = function () { _this2.setState({ selectedItem: null, forceSubMenuOpen: false }); }; this.renderChildren = function (children) { return react__WEBPACK_IMPORTED_MODULE_0___default.a.Children.map(children, function (child) { var props = {}; if (!react__WEBPACK_IMPORTED_MODULE_0___default.a.isValidElement(child)) return child; if ([_MenuItem__WEBPACK_IMPORTED_MODULE_2__["default"], _this2.getSubMenuType()].indexOf(child.type) < 0) { // Maybe the MenuItem or SubMenu is capsuled in a wrapper div or something else props.children = _this2.renderChildren(child.props.children); return react__WEBPACK_IMPORTED_MODULE_0___default.a.cloneElement(child, props); } props.onMouseLeave = _this2.onChildMouseLeave.bind(_this2); if (child.type === _this2.getSubMenuType()) { // special props for SubMenu only props.forceOpen = _this2.state.forceSubMenuOpen && _this2.state.selectedItem === child; props.forceClose = _this2.handleForceClose; props.parentKeyNavigationHandler = _this2.handleKeyNavigation; } if (!child.props.divider && _this2.state.selectedItem === child) { // special props for selected item only props.selected = true; props.ref = function (ref) { _this2.seletedItemRef = ref; }; return react__WEBPACK_IMPORTED_MODULE_0___default.a.cloneElement(child, props); } // onMouseMove is only needed for non selected items props.onMouseMove = function () { return _this2.onChildMouseMove(child); }; return react__WEBPACK_IMPORTED_MODULE_0___default.a.cloneElement(child, props); }); }; }; /* harmony default export */ __webpack_exports__["default"] = (AbstractMenu); /***/ }), /***/ "./node_modules/react-contextmenu/es6/ContextMenu.js": /*!***********************************************************!*\ !*** ./node_modules/react-contextmenu/es6/ContextMenu.js ***! \***********************************************************/ /*! exports provided: default */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! react */ "./node_modules/react/index.js"); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(react__WEBPACK_IMPORTED_MODULE_0__); /* harmony import */ var prop_types__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! prop-types */ "./node_modules/prop-types/index.js"); /* harmony import */ var prop_types__WEBPACK_IMPORTED_MODULE_1___default = /*#__PURE__*/__webpack_require__.n(prop_types__WEBPACK_IMPORTED_MODULE_1__); /* harmony import */ var classnames__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! classnames */ "./node_modules/classnames/index.js"); /* harmony import */ var classnames__WEBPACK_IMPORTED_MODULE_2___default = /*#__PURE__*/__webpack_require__.n(classnames__WEBPACK_IMPORTED_MODULE_2__); /* harmony import */ var object_assign__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(/*! object-assign */ "./node_modules/object-assign/index.js"); /* harmony import */ var object_assign__WEBPACK_IMPORTED_MODULE_3___default = /*#__PURE__*/__webpack_require__.n(object_assign__WEBPACK_IMPORTED_MODULE_3__); /* harmony import */ var _globalEventListener__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(/*! ./globalEventListener */ "./node_modules/react-contextmenu/es6/globalEventListener.js"); /* harmony import */ var _AbstractMenu__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(/*! ./AbstractMenu */ "./node_modules/react-contextmenu/es6/AbstractMenu.js"); /* harmony import */ var _SubMenu__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(/*! ./SubMenu */ "./node_modules/react-contextmenu/es6/SubMenu.js"); /* harmony import */ var _actions__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(/*! ./actions */ "./node_modules/react-contextmenu/es6/actions.js"); /* harmony import */ var _helpers__WEBPACK_IMPORTED_MODULE_8__ = __webpack_require__(/*! ./helpers */ "./node_modules/react-contextmenu/es6/helpers.js"); var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); function _defineProperty(obj, key, value) { if (key in obj) { Object.defineProperty(obj, key, { value: value, enumerable: true, configurable: true, writable: true }); } else { obj[key] = value; } return obj; } function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } function _possibleConstructorReturn(self, call) { if (!self) { throw new ReferenceError("this hasn't been initialised - super() hasn't been called"); } return call && (typeof call === "object" || typeof call === "function") ? call : self; } function _inherits(subClass, superClass) { if (typeof superClass !== "function" && superClass !== null) { throw new TypeError("Super expression must either be null or a function, not " + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; } var ContextMenu = function (_AbstractMenu) { _inherits(ContextMenu, _AbstractMenu); function ContextMenu(props) { _classCallCheck(this, ContextMenu); var _this = _possibleConstructorReturn(this, (ContextMenu.__proto__ || Object.getPrototypeOf(ContextMenu)).call(this, props)); _this.registerHandlers = function () { document.addEventListener('mousedown', _this.handleOutsideClick); document.addEventListener('touchstart', _this.handleOutsideClick); document.addEventListener('scroll', _this.handleHide); document.addEventListener('contextmenu', _this.handleHide); document.addEventListener('keydown', _this.handleKeyNavigation); window.addEventListener('resize', _this.handleHide); }; _this.unregisterHandlers = function () { document.removeEventListener('mousedown', _this.handleOutsideClick); document.removeEventListener('touchstart', _this.handleOutsideClick); document.removeEventListener('scroll', _this.handleHide); document.removeEventListener('contextmenu', _this.handleHide); document.removeEventListener('keydown', _this.handleKeyNavigation); window.removeEventListener('resize', _this.handleHide); }; _this.handleShow = function (e) { if (e.detail.id !== _this.props.id || _this.state.isVisible) return; var _e$detail$position = e.detail.position, x = _e$detail$position.x, y = _e$detail$position.y; _this.setState({ isVisible: true, x: x, y: y }); _this.registerHandlers(); Object(_helpers__WEBPACK_IMPORTED_MODULE_8__["callIfExists"])(_this.props.onShow, e); }; _this.handleHide = function (e) { if (_this.state.isVisible && (!e.detail || !e.detail.id || e.detail.id === _this.props.id)) { _this.unregisterHandlers(); _this.setState({ isVisible: false, selectedItem: null, forceSubMenuOpen: false }); Object(_helpers__WEBPACK_IMPORTED_MODULE_8__["callIfExists"])(_this.props.onHide, e); } }; _this.handleOutsideClick = function (e) { if (!_this.menu.contains(e.target)) Object(_actions__WEBPACK_IMPORTED_MODULE_7__["hideMenu"])(); }; _this.handleMouseLeave = function (event) { event.preventDefault(); Object(_helpers__WEBPACK_IMPORTED_MODULE_8__["callIfExists"])(_this.props.onMouseLeave, event, object_assign__WEBPACK_IMPORTED_MODULE_3___default()({}, _this.props.data, _helpers__WEBPACK_IMPORTED_MODULE_8__["store"].data), _helpers__WEBPACK_IMPORTED_MODULE_8__["store"].target); if (_this.props.hideOnLeave) Object(_actions__WEBPACK_IMPORTED_MODULE_7__["hideMenu"])(); }; _this.handleContextMenu = function (e) { if (false) {} _this.handleHide(e); }; _this.hideMenu = function (e) { if (e.keyCode === 27 || e.keyCode === 13) { // ECS or enter Object(_actions__WEBPACK_IMPORTED_MODULE_7__["hideMenu"])(); } }; _this.getMenuPosition = function () { var x = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 0; var y = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 0; var menuStyles = { top: y, left: x }; if (!_this.menu) return menuStyles; var _window = window, innerWidth = _window.innerWidth, innerHeight = _window.innerHeight; var rect = _this.menu.getBoundingClientRect(); if (y + rect.height > innerHeight) { menuStyles.top -= rect.height; } if (x + rect.width > innerWidth) { menuStyles.left -= rect.width; } if (menuStyles.top < 0) { menuStyles.top = rect.height < innerHeight ? (innerHeight - rect.height) / 2 : 0; } if (menuStyles.left < 0) { menuStyles.left = rect.width < innerWidth ? (innerWidth - rect.width) / 2 : 0; } return menuStyles; }; _this.menuRef = function (c) { _this.menu = c; }; _this.state = object_assign__WEBPACK_IMPORTED_MODULE_3___default()({}, _this.state, { x: 0, y: 0, isVisible: false }); return _this; } _createClass(ContextMenu, [{ key: 'getSubMenuType', value: function getSubMenuType() { // eslint-disable-line class-methods-use-this return _SubMenu__WEBPACK_IMPORTED_MODULE_6__["default"]; } }, { key: 'componentDidMount', value: function componentDidMount() { this.listenId = _globalEventListener__WEBPACK_IMPORTED_MODULE_4__["default"].register(this.handleShow, this.handleHide); } }, { key: 'componentDidUpdate', value: function componentDidUpdate() { var _this2 = this; if (this.state.isVisible) { var wrapper = window.requestAnimationFrame || setTimeout; wrapper(function () { var _state = _this2.state, x = _state.x, y = _state.y; var _getMenuPosition = _this2.getMenuPosition(x, y), top = _getMenuPosition.top, left = _getMenuPosition.left; wrapper(function () { if (!_this2.menu) return; _this2.menu.style.top = top + 'px'; _this2.menu.style.left = left + 'px'; _this2.menu.style.opacity = 1; _this2.menu.style.pointerEvents = 'auto'; }); }); } else { if (!this.menu) return; this.menu.style.opacity = 0; this.menu.style.pointerEvents = 'none'; } } }, { key: 'componentWillUnmount', value: function componentWillUnmount() { if (this.listenId) { _globalEventListener__WEBPACK_IMPORTED_MODULE_4__["default"].unregister(this.listenId); } this.unregisterHandlers(); } }, { key: 'render', value: function render() { var _props = this.props, children = _props.children, className = _props.className, style = _props.style; var isVisible = this.state.isVisible; var inlineStyle = object_assign__WEBPACK_IMPORTED_MODULE_3___default()({}, style, { position: 'fixed', opacity: 0, pointerEvents: 'none' }); var menuClassnames = classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_8__["cssClasses"].menu, className, _defineProperty({}, _helpers__WEBPACK_IMPORTED_MODULE_8__["cssClasses"].menuVisible, isVisible)); return react__WEBPACK_IMPORTED_MODULE_0___default.a.createElement( 'nav', { role: 'menu', tabIndex: '-1', ref: this.menuRef, style: inlineStyle, className: menuClassnames, onContextMenu: this.handleContextMenu, onMouseLeave: this.handleMouseLeave }, this.renderChildren(children) ); } }]); return ContextMenu; }(_AbstractMenu__WEBPACK_IMPORTED_MODULE_5__["default"]); ContextMenu.propTypes = { id: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.string.isRequired, children: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.node.isRequired, data: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.object, className: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.string, hideOnLeave: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.bool, onHide: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func, onMouseLeave: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func, onShow: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func, style: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.object }; ContextMenu.defaultProps = { className: '', data: {}, hideOnLeave: false, onHide: function onHide() { return null; }, onMouseLeave: function onMouseLeave() { return null; }, onShow: function onShow() { return null; }, style: {} }; /* harmony default export */ __webpack_exports__["default"] = (ContextMenu); /***/ }), /***/ "./node_modules/react-contextmenu/es6/ContextMenuTrigger.js": /*!******************************************************************!*\ !*** ./node_modules/react-contextmenu/es6/ContextMenuTrigger.js ***! \******************************************************************/ /*! exports provided: default */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! react */ "./node_modules/react/index.js"); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(react__WEBPACK_IMPORTED_MODULE_0__); /* harmony import */ var prop_types__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! prop-types */ "./node_modules/prop-types/index.js"); /* harmony import */ var prop_types__WEBPACK_IMPORTED_MODULE_1___default = /*#__PURE__*/__webpack_require__.n(prop_types__WEBPACK_IMPORTED_MODULE_1__); /* harmony import */ var classnames__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! classnames */ "./node_modules/classnames/index.js"); /* harmony import */ var classnames__WEBPACK_IMPORTED_MODULE_2___default = /*#__PURE__*/__webpack_require__.n(classnames__WEBPACK_IMPORTED_MODULE_2__); /* harmony import */ var object_assign__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(/*! object-assign */ "./node_modules/object-assign/index.js"); /* harmony import */ var object_assign__WEBPACK_IMPORTED_MODULE_3___default = /*#__PURE__*/__webpack_require__.n(object_assign__WEBPACK_IMPORTED_MODULE_3__); /* harmony import */ var _actions__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(/*! ./actions */ "./node_modules/react-contextmenu/es6/actions.js"); /* harmony import */ var _helpers__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(/*! ./helpers */ "./node_modules/react-contextmenu/es6/helpers.js"); var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } function _possibleConstructorReturn(self, call) { if (!self) { throw new ReferenceError("this hasn't been initialised - super() hasn't been called"); } return call && (typeof call === "object" || typeof call === "function") ? call : self; } function _inherits(subClass, superClass) { if (typeof superClass !== "function" && superClass !== null) { throw new TypeError("Super expression must either be null or a function, not " + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; } var ContextMenuTrigger = function (_Component) { _inherits(ContextMenuTrigger, _Component); function ContextMenuTrigger() { var _ref; var _temp, _this, _ret; _classCallCheck(this, ContextMenuTrigger); for (var _len = arguments.length, args = Array(_len), _key = 0; _key < _len; _key++) { args[_key] = arguments[_key]; } return _ret = (_temp = (_this = _possibleConstructorReturn(this, (_ref = ContextMenuTrigger.__proto__ || Object.getPrototypeOf(ContextMenuTrigger)).call.apply(_ref, [this].concat(args))), _this), _this.touchHandled = false, _this.handleMouseDown = function (event) { if (_this.props.holdToDisplay >= 0 && event.button === 0) { event.persist(); event.stopPropagation(); _this.mouseDownTimeoutId = setTimeout(function () { return _this.handleContextClick(event); }, _this.props.holdToDisplay); } Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["callIfExists"])(_this.props.attributes.onMouseDown, event); }, _this.handleMouseUp = function (event) { if (event.button === 0) { clearTimeout(_this.mouseDownTimeoutId); } Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["callIfExists"])(_this.props.attributes.onMouseUp, event); }, _this.handleMouseOut = function (event) { if (event.button === 0) { clearTimeout(_this.mouseDownTimeoutId); } Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["callIfExists"])(_this.props.attributes.onMouseOut, event); }, _this.handleTouchstart = function (event) { _this.touchHandled = false; if (_this.props.holdToDisplay >= 0) { event.persist(); event.stopPropagation(); _this.touchstartTimeoutId = setTimeout(function () { _this.handleContextClick(event); _this.touchHandled = true; }, _this.props.holdToDisplay); } Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["callIfExists"])(_this.props.attributes.onTouchStart, event); }, _this.handleTouchEnd = function (event) { if (_this.touchHandled) { event.preventDefault(); } clearTimeout(_this.touchstartTimeoutId); Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["callIfExists"])(_this.props.attributes.onTouchEnd, event); }, _this.handleContextMenu = function (event) { _this.handleContextClick(event); Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["callIfExists"])(_this.props.attributes.onContextMenu, event); }, _this.handleContextClick = function (event) { if (_this.props.disable) return; event.preventDefault(); event.stopPropagation(); var x = event.clientX || event.touches && event.touches[0].pageX; var y = event.clientY || event.touches && event.touches[0].pageY; if (_this.props.posX) { x -= _this.props.posX; } if (_this.props.posY) { y -= _this.props.posY; } Object(_actions__WEBPACK_IMPORTED_MODULE_4__["hideMenu"])(); var data = Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["callIfExists"])(_this.props.collect, _this.props); var showMenuConfig = { position: { x: x, y: y }, target: _this.elem, id: _this.props.id, data: data }; if (data && typeof data.then === 'function') { // it's promise data.then(function (resp) { showMenuConfig.data = resp; Object(_actions__WEBPACK_IMPORTED_MODULE_4__["showMenu"])(showMenuConfig); }); } else { Object(_actions__WEBPACK_IMPORTED_MODULE_4__["showMenu"])(showMenuConfig); } }, _this.elemRef = function (c) { _this.elem = c; }, _temp), _possibleConstructorReturn(_this, _ret); } _createClass(ContextMenuTrigger, [{ key: 'render', value: function render() { var _props = this.props, renderTag = _props.renderTag, attributes = _props.attributes, children = _props.children; var newAttrs = object_assign__WEBPACK_IMPORTED_MODULE_3___default()({}, attributes, { className: classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuWrapper, attributes.className), onContextMenu: this.handleContextMenu, onMouseDown: this.handleMouseDown, onMouseUp: this.handleMouseUp, onTouchStart: this.handleTouchstart, onTouchEnd: this.handleTouchEnd, onMouseOut: this.handleMouseOut, ref: this.elemRef }); return react__WEBPACK_IMPORTED_MODULE_0___default.a.createElement(renderTag, newAttrs, children); } }]); return ContextMenuTrigger; }(react__WEBPACK_IMPORTED_MODULE_0__["Component"]); ContextMenuTrigger.propTypes = { id: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.string.isRequired, children: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.node.isRequired, attributes: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.object, collect: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func, disable: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.bool, holdToDisplay: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.number, posX: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.number, posY: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.number, renderTag: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.oneOfType([prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.node, prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func]) }; ContextMenuTrigger.defaultProps = { attributes: {}, collect: function collect() { return null; }, disable: false, holdToDisplay: 1000, renderTag: 'div', posX: 0, posY: 0 }; /* harmony default export */ __webpack_exports__["default"] = (ContextMenuTrigger); /***/ }), /***/ "./node_modules/react-contextmenu/es6/MenuItem.js": /*!********************************************************!*\ !*** ./node_modules/react-contextmenu/es6/MenuItem.js ***! \********************************************************/ /*! exports provided: default */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! react */ "./node_modules/react/index.js"); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(react__WEBPACK_IMPORTED_MODULE_0__); /* harmony import */ var prop_types__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! prop-types */ "./node_modules/prop-types/index.js"); /* harmony import */ var prop_types__WEBPACK_IMPORTED_MODULE_1___default = /*#__PURE__*/__webpack_require__.n(prop_types__WEBPACK_IMPORTED_MODULE_1__); /* harmony import */ var classnames__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! classnames */ "./node_modules/classnames/index.js"); /* harmony import */ var classnames__WEBPACK_IMPORTED_MODULE_2___default = /*#__PURE__*/__webpack_require__.n(classnames__WEBPACK_IMPORTED_MODULE_2__); /* harmony import */ var object_assign__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(/*! object-assign */ "./node_modules/object-assign/index.js"); /* harmony import */ var object_assign__WEBPACK_IMPORTED_MODULE_3___default = /*#__PURE__*/__webpack_require__.n(object_assign__WEBPACK_IMPORTED_MODULE_3__); /* harmony import */ var _actions__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(/*! ./actions */ "./node_modules/react-contextmenu/es6/actions.js"); /* harmony import */ var _helpers__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(/*! ./helpers */ "./node_modules/react-contextmenu/es6/helpers.js"); var _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); function _defineProperty(obj, key, value) { if (key in obj) { Object.defineProperty(obj, key, { value: value, enumerable: true, configurable: true, writable: true }); } else { obj[key] = value; } return obj; } function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } function _possibleConstructorReturn(self, call) { if (!self) { throw new ReferenceError("this hasn't been initialised - super() hasn't been called"); } return call && (typeof call === "object" || typeof call === "function") ? call : self; } function _inherits(subClass, superClass) { if (typeof superClass !== "function" && superClass !== null) { throw new TypeError("Super expression must either be null or a function, not " + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; } var MenuItem = function (_Component) { _inherits(MenuItem, _Component); function MenuItem() { var _ref; var _temp, _this, _ret; _classCallCheck(this, MenuItem); for (var _len = arguments.length, args = Array(_len), _key = 0; _key < _len; _key++) { args[_key] = arguments[_key]; } return _ret = (_temp = (_this = _possibleConstructorReturn(this, (_ref = MenuItem.__proto__ || Object.getPrototypeOf(MenuItem)).call.apply(_ref, [this].concat(args))), _this), _this.handleClick = function (event) { event.preventDefault(); if (_this.props.disabled || _this.props.divider) return; Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["callIfExists"])(_this.props.onClick, event, object_assign__WEBPACK_IMPORTED_MODULE_3___default()({}, _this.props.data, _helpers__WEBPACK_IMPORTED_MODULE_5__["store"].data), _helpers__WEBPACK_IMPORTED_MODULE_5__["store"].target); if (_this.props.preventClose) return; Object(_actions__WEBPACK_IMPORTED_MODULE_4__["hideMenu"])(); }, _temp), _possibleConstructorReturn(_this, _ret); } _createClass(MenuItem, [{ key: 'render', value: function render() { var _cx, _this2 = this; var _props = this.props, disabled = _props.disabled, divider = _props.divider, children = _props.children, attributes = _props.attributes, selected = _props.selected; var menuItemClassNames = classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuItem, attributes.className, (_cx = {}, _defineProperty(_cx, classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuItemDisabled, attributes.disabledClassName), disabled), _defineProperty(_cx, classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuItemDivider, attributes.dividerClassName), divider), _defineProperty(_cx, classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuItemSelected, attributes.selectedClassName), selected), _cx)); return react__WEBPACK_IMPORTED_MODULE_0___default.a.createElement( 'div', _extends({}, attributes, { className: menuItemClassNames, role: 'menuitem', tabIndex: '-1', 'aria-disabled': disabled ? 'true' : 'false', 'aria-orientation': divider ? 'horizontal' : null, ref: function ref(_ref2) { _this2.ref = _ref2; }, onMouseMove: this.props.onMouseMove, onMouseLeave: this.props.onMouseLeave, onTouchEnd: this.handleClick, onClick: this.handleClick }), divider ? null : children ); } }]); return MenuItem; }(react__WEBPACK_IMPORTED_MODULE_0__["Component"]); MenuItem.propTypes = { children: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.node, attributes: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.object, data: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.object, disabled: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.bool, divider: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.bool, preventClose: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.bool, onClick: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func, selected: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.bool, onMouseMove: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func, onMouseLeave: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func }; MenuItem.defaultProps = { disabled: false, data: {}, divider: false, attributes: {}, preventClose: false, onClick: function onClick() { return null; }, children: null, selected: false, onMouseMove: function onMouseMove() { return null; }, onMouseLeave: function onMouseLeave() { return null; } }; /* harmony default export */ __webpack_exports__["default"] = (MenuItem); /***/ }), /***/ "./node_modules/react-contextmenu/es6/SubMenu.js": /*!*******************************************************!*\ !*** ./node_modules/react-contextmenu/es6/SubMenu.js ***! \*******************************************************/ /*! exports provided: default */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! react */ "./node_modules/react/index.js"); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(react__WEBPACK_IMPORTED_MODULE_0__); /* harmony import */ var prop_types__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! prop-types */ "./node_modules/prop-types/index.js"); /* harmony import */ var prop_types__WEBPACK_IMPORTED_MODULE_1___default = /*#__PURE__*/__webpack_require__.n(prop_types__WEBPACK_IMPORTED_MODULE_1__); /* harmony import */ var classnames__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! classnames */ "./node_modules/classnames/index.js"); /* harmony import */ var classnames__WEBPACK_IMPORTED_MODULE_2___default = /*#__PURE__*/__webpack_require__.n(classnames__WEBPACK_IMPORTED_MODULE_2__); /* harmony import */ var object_assign__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(/*! object-assign */ "./node_modules/object-assign/index.js"); /* harmony import */ var object_assign__WEBPACK_IMPORTED_MODULE_3___default = /*#__PURE__*/__webpack_require__.n(object_assign__WEBPACK_IMPORTED_MODULE_3__); /* harmony import */ var _AbstractMenu__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(/*! ./AbstractMenu */ "./node_modules/react-contextmenu/es6/AbstractMenu.js"); /* harmony import */ var _helpers__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(/*! ./helpers */ "./node_modules/react-contextmenu/es6/helpers.js"); /* harmony import */ var _globalEventListener__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(/*! ./globalEventListener */ "./node_modules/react-contextmenu/es6/globalEventListener.js"); var _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); function _defineProperty(obj, key, value) { if (key in obj) { Object.defineProperty(obj, key, { value: value, enumerable: true, configurable: true, writable: true }); } else { obj[key] = value; } return obj; } function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } function _possibleConstructorReturn(self, call) { if (!self) { throw new ReferenceError("this hasn't been initialised - super() hasn't been called"); } return call && (typeof call === "object" || typeof call === "function") ? call : self; } function _inherits(subClass, superClass) { if (typeof superClass !== "function" && superClass !== null) { throw new TypeError("Super expression must either be null or a function, not " + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; } var SubMenu = function (_AbstractMenu) { _inherits(SubMenu, _AbstractMenu); function SubMenu(props) { _classCallCheck(this, SubMenu); var _this = _possibleConstructorReturn(this, (SubMenu.__proto__ || Object.getPrototypeOf(SubMenu)).call(this, props)); _this.getMenuPosition = function () { var _window = window, innerWidth = _window.innerWidth, innerHeight = _window.innerHeight; var rect = _this.subMenu.getBoundingClientRect(); var position = {}; if (rect.bottom > innerHeight) { position.bottom = 0; } else { position.top = 0; } if (rect.right < innerWidth) { position.left = '100%'; } else { position.right = '100%'; } return position; }; _this.getRTLMenuPosition = function () { var _window2 = window, innerHeight = _window2.innerHeight; var rect = _this.subMenu.getBoundingClientRect(); var position = {}; if (rect.bottom > innerHeight) { position.bottom = 0; } else { position.top = 0; } if (rect.left < 0) { position.left = '100%'; } else { position.right = '100%'; } return position; }; _this.hideMenu = function (e) { // avoid closing submenus of a different menu tree if (e.detail && e.detail.id && _this.menu && e.detail.id !== _this.menu.id) { return; } if (_this.props.forceOpen) { _this.props.forceClose(); } _this.setState({ visible: false, selectedItem: null }); _this.unregisterHandlers(); }; _this.handleClick = function (event) { event.preventDefault(); if (_this.props.disabled) return; Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["callIfExists"])(_this.props.onClick, event, object_assign__WEBPACK_IMPORTED_MODULE_3___default()({}, _this.props.data, _helpers__WEBPACK_IMPORTED_MODULE_5__["store"].data), _helpers__WEBPACK_IMPORTED_MODULE_5__["store"].target); }; _this.handleMouseEnter = function () { if (_this.closetimer) clearTimeout(_this.closetimer); if (_this.props.disabled || _this.state.visible) return; _this.opentimer = setTimeout(function () { return _this.setState({ visible: true, selectedItem: null }); }, _this.props.hoverDelay); }; _this.handleMouseLeave = function () { if (_this.opentimer) clearTimeout(_this.opentimer); if (!_this.state.visible) return; _this.closetimer = setTimeout(function () { return _this.setState({ visible: false, selectedItem: null }); }, _this.props.hoverDelay); }; _this.menuRef = function (c) { _this.menu = c; }; _this.subMenuRef = function (c) { _this.subMenu = c; }; _this.registerHandlers = function () { document.removeEventListener('keydown', _this.props.parentKeyNavigationHandler); document.addEventListener('keydown', _this.handleKeyNavigation); }; _this.unregisterHandlers = function (dismounting) { document.removeEventListener('keydown', _this.handleKeyNavigation); if (!dismounting) { document.addEventListener('keydown', _this.props.parentKeyNavigationHandler); } }; _this.state = object_assign__WEBPACK_IMPORTED_MODULE_3___default()({}, _this.state, { visible: false }); return _this; } _createClass(SubMenu, [{ key: 'componentDidMount', value: function componentDidMount() { this.listenId = _globalEventListener__WEBPACK_IMPORTED_MODULE_6__["default"].register(function () {}, this.hideMenu); } }, { key: 'getSubMenuType', value: function getSubMenuType() { // eslint-disable-line class-methods-use-this return SubMenu; } }, { key: 'shouldComponentUpdate', value: function shouldComponentUpdate(nextProps, nextState) { this.isVisibilityChange = (this.state.visible !== nextState.visible || this.props.forceOpen !== nextProps.forceOpen) && !(this.state.visible && nextProps.forceOpen) && !(this.props.forceOpen && nextState.visible); return true; } }, { key: 'componentDidUpdate', value: function componentDidUpdate() { var _this2 = this; if (!this.isVisibilityChange) return; if (this.props.forceOpen || this.state.visible) { var wrapper = window.requestAnimationFrame || setTimeout; wrapper(function () { var styles = _this2.props.rtl ? _this2.getRTLMenuPosition() : _this2.getMenuPosition(); _this2.subMenu.style.removeProperty('top'); _this2.subMenu.style.removeProperty('bottom'); _this2.subMenu.style.removeProperty('left'); _this2.subMenu.style.removeProperty('right'); if (Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["hasOwnProp"])(styles, 'top')) _this2.subMenu.style.top = styles.top; if (Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["hasOwnProp"])(styles, 'left')) _this2.subMenu.style.left = styles.left; if (Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["hasOwnProp"])(styles, 'bottom')) _this2.subMenu.style.bottom = styles.bottom; if (Object(_helpers__WEBPACK_IMPORTED_MODULE_5__["hasOwnProp"])(styles, 'right')) _this2.subMenu.style.right = styles.right; _this2.subMenu.classList.add(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuVisible); _this2.registerHandlers(); _this2.setState({ selectedItem: null }); }); } else { var cleanup = function cleanup() { _this2.subMenu.removeEventListener('transitionend', cleanup); _this2.subMenu.style.removeProperty('bottom'); _this2.subMenu.style.removeProperty('right'); _this2.subMenu.style.top = 0; _this2.subMenu.style.left = '100%'; _this2.unregisterHandlers(); }; this.subMenu.addEventListener('transitionend', cleanup); this.subMenu.classList.remove(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuVisible); } } }, { key: 'componentWillUnmount', value: function componentWillUnmount() { if (this.listenId) { _globalEventListener__WEBPACK_IMPORTED_MODULE_6__["default"].unregister(this.listenId); } if (this.opentimer) clearTimeout(this.opentimer); if (this.closetimer) clearTimeout(this.closetimer); this.unregisterHandlers(true); } }, { key: 'render', value: function render() { var _cx; var _props = this.props, children = _props.children, attributes = _props.attributes, disabled = _props.disabled, title = _props.title, selected = _props.selected; var visible = this.state.visible; var menuProps = { ref: this.menuRef, onMouseEnter: this.handleMouseEnter, onMouseLeave: this.handleMouseLeave, className: classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuItem, _helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].subMenu, attributes.listClassName), style: { position: 'relative' } }; var menuItemProps = { className: classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuItem, attributes.className, (_cx = {}, _defineProperty(_cx, classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuItemDisabled, attributes.disabledClassName), disabled), _defineProperty(_cx, classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuItemActive, attributes.visibleClassName), visible), _defineProperty(_cx, classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menuItemSelected, attributes.selectedClassName), selected), _cx)), onMouseMove: this.props.onMouseMove, onMouseOut: this.props.onMouseOut, onClick: this.handleClick }; var subMenuProps = { ref: this.subMenuRef, style: { position: 'absolute', transition: 'opacity 1ms', // trigger transitionend event top: 0, left: '100%' }, className: classnames__WEBPACK_IMPORTED_MODULE_2___default()(_helpers__WEBPACK_IMPORTED_MODULE_5__["cssClasses"].menu, this.props.className) }; return react__WEBPACK_IMPORTED_MODULE_0___default.a.createElement( 'nav', _extends({}, menuProps, { role: 'menuitem', tabIndex: '-1', 'aria-haspopup': 'true' }), react__WEBPACK_IMPORTED_MODULE_0___default.a.createElement( 'div', _extends({}, attributes, menuItemProps), title ), react__WEBPACK_IMPORTED_MODULE_0___default.a.createElement( 'nav', _extends({}, subMenuProps, { role: 'menu', tabIndex: '-1' }), this.renderChildren(children) ) ); } }]); return SubMenu; }(_AbstractMenu__WEBPACK_IMPORTED_MODULE_4__["default"]); SubMenu.propTypes = { children: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.node.isRequired, attributes: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.object, title: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.node.isRequired, className: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.string, disabled: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.bool, hoverDelay: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.number, rtl: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.bool, selected: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.bool, onMouseMove: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func, onMouseOut: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func, forceOpen: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.bool, forceClose: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func, parentKeyNavigationHandler: prop_types__WEBPACK_IMPORTED_MODULE_1___default.a.func }; SubMenu.defaultProps = { disabled: false, hoverDelay: 500, attributes: {}, className: '', rtl: false, selected: false, onMouseMove: function onMouseMove() { return null; }, onMouseOut: function onMouseOut() { return null; }, forceOpen: false, forceClose: function forceClose() { return null; }, parentKeyNavigationHandler: function parentKeyNavigationHandler() { return null; } }; /* harmony default export */ __webpack_exports__["default"] = (SubMenu); /***/ }), /***/ "./node_modules/react-contextmenu/es6/actions.js": /*!*******************************************************!*\ !*** ./node_modules/react-contextmenu/es6/actions.js ***! \*******************************************************/ /*! exports provided: MENU_SHOW, MENU_HIDE, dispatchGlobalEvent, showMenu, hideMenu */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "MENU_SHOW", function() { return MENU_SHOW; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "MENU_HIDE", function() { return MENU_HIDE; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "dispatchGlobalEvent", function() { return dispatchGlobalEvent; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "showMenu", function() { return showMenu; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "hideMenu", function() { return hideMenu; }); /* harmony import */ var object_assign__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! object-assign */ "./node_modules/object-assign/index.js"); /* harmony import */ var object_assign__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(object_assign__WEBPACK_IMPORTED_MODULE_0__); /* harmony import */ var _helpers__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ./helpers */ "./node_modules/react-contextmenu/es6/helpers.js"); var MENU_SHOW = 'REACT_CONTEXTMENU_SHOW'; var MENU_HIDE = 'REACT_CONTEXTMENU_HIDE'; function dispatchGlobalEvent(eventName, opts) { var target = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : window; // Compatibale with IE // @see http://stackoverflow.com/questions/26596123/internet-explorer-9-10-11-event-constructor-doesnt-work var event = void 0; if (typeof window.CustomEvent === 'function') { event = new window.CustomEvent(eventName, { detail: opts }); } else { event = document.createEvent('CustomEvent'); event.initCustomEvent(eventName, false, true, opts); } if (target) { target.dispatchEvent(event); object_assign__WEBPACK_IMPORTED_MODULE_0___default()(_helpers__WEBPACK_IMPORTED_MODULE_1__["store"], opts); } } function showMenu() { var opts = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {}; var target = arguments[1]; dispatchGlobalEvent(MENU_SHOW, object_assign__WEBPACK_IMPORTED_MODULE_0___default()({}, opts, { type: MENU_SHOW }), target); } function hideMenu() { var opts = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {}; var target = arguments[1]; dispatchGlobalEvent(MENU_HIDE, object_assign__WEBPACK_IMPORTED_MODULE_0___default()({}, opts, { type: MENU_HIDE }), target); } /***/ }), /***/ "./node_modules/react-contextmenu/es6/connectMenu.js": /*!***********************************************************!*\ !*** ./node_modules/react-contextmenu/es6/connectMenu.js ***! \***********************************************************/ /*! exports provided: default */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! react */ "./node_modules/react/index.js"); /* harmony import */ var react__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(react__WEBPACK_IMPORTED_MODULE_0__); /* harmony import */ var _ContextMenuTrigger__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ./ContextMenuTrigger */ "./node_modules/react-contextmenu/es6/ContextMenuTrigger.js"); /* harmony import */ var _globalEventListener__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! ./globalEventListener */ "./node_modules/react-contextmenu/es6/globalEventListener.js"); var _extends = Object.assign || function (target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i]; for (var key in source) { if (Object.prototype.hasOwnProperty.call(source, key)) { target[key] = source[key]; } } } return target; }; var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } function _possibleConstructorReturn(self, call) { if (!self) { throw new ReferenceError("this hasn't been initialised - super() hasn't been called"); } return call && (typeof call === "object" || typeof call === "function") ? call : self; } function _inherits(subClass, superClass) { if (typeof superClass !== "function" && superClass !== null) { throw new TypeError("Super expression must either be null or a function, not " + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; } function _toConsumableArray(arr) { if (Array.isArray(arr)) { for (var i = 0, arr2 = Array(arr.length); i < arr.length; i++) { arr2[i] = arr[i]; } return arr2; } else { return Array.from(arr); } } // collect ContextMenuTrigger's expected props to NOT pass them on as part of the context var ignoredTriggerProps = [].concat(_toConsumableArray(Object.keys(_ContextMenuTrigger__WEBPACK_IMPORTED_MODULE_1__["default"].propTypes)), ['children']); // expect the id of the menu to be responsible for as outer parameter /* harmony default export */ __webpack_exports__["default"] = (function (menuId) { // expect menu component to connect as inner parameter // is presumably a wrapper of return function (Child) { // return wrapper for that forwards the ContextMenuTrigger's additional props return function (_Component) { _inherits(ConnectMenu, _Component); function ConnectMenu(props) { _classCallCheck(this, ConnectMenu); var _this = _possibleConstructorReturn(this, (ConnectMenu.__proto__ || Object.getPrototypeOf(ConnectMenu)).call(this, props)); _this.handleShow = function (e) { if (e.detail.id !== menuId) return; // the onShow event's detail.data object holds all ContextMenuTrigger props var data = e.detail.data; var filteredData = {}; for (var key in data) { // exclude props the ContextMenuTrigger is expecting itself if (!ignoredTriggerProps.includes(key)) { filteredData[key] = data[key]; } } _this.setState({ trigger: filteredData }); }; _this.handleHide = function () { _this.setState({ trigger: null }); }; _this.state = { trigger: null }; return _this; } _createClass(ConnectMenu, [{ key: 'componentDidMount', value: function componentDidMount() { this.listenId = _globalEventListener__WEBPACK_IMPORTED_MODULE_2__["default"].register(this.handleShow, this.handleHide); } }, { key: 'componentWillUnmount', value: function componentWillUnmount() { if (this.listenId) { _globalEventListener__WEBPACK_IMPORTED_MODULE_2__["default"].unregister(this.listenId); } } }, { key: 'render', value: function render() { return react__WEBPACK_IMPORTED_MODULE_0___default.a.createElement(Child, _extends({}, this.props, { id: menuId, trigger: this.state.trigger })); } }]); return ConnectMenu; }(react__WEBPACK_IMPORTED_MODULE_0__["Component"]); }; }); /***/ }), /***/ "./node_modules/react-contextmenu/es6/globalEventListener.js": /*!*******************************************************************!*\ !*** ./node_modules/react-contextmenu/es6/globalEventListener.js ***! \*******************************************************************/ /*! exports provided: default */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony import */ var _actions__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ./actions */ "./node_modules/react-contextmenu/es6/actions.js"); /* harmony import */ var _helpers__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ./helpers */ "./node_modules/react-contextmenu/es6/helpers.js"); function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } var GlobalEventListener = function GlobalEventListener() { var _this = this; _classCallCheck(this, GlobalEventListener); this.handleShowEvent = function (event) { for (var id in _this.callbacks) { if (Object(_helpers__WEBPACK_IMPORTED_MODULE_1__["hasOwnProp"])(_this.callbacks, id)) _this.callbacks[id].show(event); } }; this.handleHideEvent = function (event) { for (var id in _this.callbacks) { if (Object(_helpers__WEBPACK_IMPORTED_MODULE_1__["hasOwnProp"])(_this.callbacks, id)) _this.callbacks[id].hide(event); } }; this.register = function (showCallback, hideCallback) { var id = Object(_helpers__WEBPACK_IMPORTED_MODULE_1__["uniqueId"])(); _this.callbacks[id] = { show: showCallback, hide: hideCallback }; return id; }; this.unregister = function (id) { if (id && _this.callbacks[id]) { delete _this.callbacks[id]; } }; this.callbacks = {}; if (_helpers__WEBPACK_IMPORTED_MODULE_1__["canUseDOM"]) { window.addEventListener(_actions__WEBPACK_IMPORTED_MODULE_0__["MENU_SHOW"], this.handleShowEvent); window.addEventListener(_actions__WEBPACK_IMPORTED_MODULE_0__["MENU_HIDE"], this.handleHideEvent); } }; /* harmony default export */ __webpack_exports__["default"] = (new GlobalEventListener()); /***/ }), /***/ "./node_modules/react-contextmenu/es6/helpers.js": /*!*******************************************************!*\ !*** ./node_modules/react-contextmenu/es6/helpers.js ***! \*******************************************************/ /*! exports provided: callIfExists, hasOwnProp, uniqueId, cssClasses, store, canUseDOM */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "callIfExists", function() { return callIfExists; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "hasOwnProp", function() { return hasOwnProp; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "uniqueId", function() { return uniqueId; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "cssClasses", function() { return cssClasses; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "store", function() { return store; }); /* harmony export (binding) */ __webpack_require__.d(__webpack_exports__, "canUseDOM", function() { return canUseDOM; }); function callIfExists(func) { for (var _len = arguments.length, args = Array(_len > 1 ? _len - 1 : 0), _key = 1; _key < _len; _key++) { args[_key - 1] = arguments[_key]; } return typeof func === 'function' && func.apply(undefined, args); } function hasOwnProp(obj, prop) { return Object.prototype.hasOwnProperty.call(obj, prop); } function uniqueId() { return Math.random().toString(36).substring(7); } var cssClasses = { menu: 'react-contextmenu', menuVisible: 'react-contextmenu--visible', menuWrapper: 'react-contextmenu-wrapper', menuItem: 'react-contextmenu-item', menuItemActive: 'react-contextmenu-item--active', menuItemDisabled: 'react-contextmenu-item--disabled', menuItemDivider: 'react-contextmenu-item--divider', menuItemSelected: 'react-contextmenu-item--selected', subMenu: 'react-contextmenu-submenu' }; var store = {}; var canUseDOM = Boolean(typeof window !== 'undefined' && window.document && window.document.createElement); /***/ }), /***/ "./node_modules/react-contextmenu/es6/index.js": /*!*****************************************************!*\ !*** ./node_modules/react-contextmenu/es6/index.js ***! \*****************************************************/ /*! exports provided: ContextMenu, ContextMenuTrigger, MenuItem, SubMenu, connectMenu, hideMenu, showMenu */ /***/ (function(module, __webpack_exports__, __webpack_require__) { "use strict"; __webpack_require__.r(__webpack_exports__); /* harmony import */ var _ContextMenu__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ./ContextMenu */ "./node_modules/react-contextmenu/es6/ContextMenu.js"); /* harmony reexport (safe) */ __webpack_require__.d(__webpack_exports__, "ContextMenu", function() { return _ContextMenu__WEBPACK_IMPORTED_MODULE_0__["default"]; }); /* harmony import */ var _ContextMenuTrigger__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ./ContextMenuTrigger */ "./node_modules/react-contextmenu/es6/ContextMenuTrigger.js"); /* harmony reexport (safe) */ __webpack_require__.d(__webpack_exports__, "ContextMenuTrigger", function() { return _ContextMenuTrigger__WEBPACK_IMPORTED_MODULE_1__["default"]; }); /* harmony import */ var _MenuItem__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! ./MenuItem */ "./node_modules/react-contextmenu/es6/MenuItem.js"); /* harmony reexport (safe) */ __webpack_require__.d(__webpack_exports__, "MenuItem", function() { return _MenuItem__WEBPACK_IMPORTED_MODULE_2__["default"]; }); /* harmony import */ var _SubMenu__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(/*! ./SubMenu */ "./node_modules/react-contextmenu/es6/SubMenu.js"); /* harmony reexport (safe) */ __webpack_require__.d(__webpack_exports__, "SubMenu", function() { return _SubMenu__WEBPACK_IMPORTED_MODULE_3__["default"]; }); /* harmony import */ var _connectMenu__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(/*! ./connectMenu */ "./node_modules/react-contextmenu/es6/connectMenu.js"); /* harmony reexport (safe) */ __webpack_require__.d(__webpack_exports__, "connectMenu", function() { return _connectMenu__WEBPACK_IMPORTED_MODULE_4__["default"]; }); /* harmony import */ var _actions__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(/*! ./actions */ "./node_modules/react-contextmenu/es6/actions.js"); /* harmony reexport (safe) */ __webpack_require__.d(__webpack_exports__, "hideMenu", function() { return _actions__WEBPACK_IMPORTED_MODULE_5__["hideMenu"]; }); /* harmony reexport (safe) */ __webpack_require__.d(__webpack_exports__, "showMenu", function() { return _actions__WEBPACK_IMPORTED_MODULE_5__["showMenu"]; }); /***/ }), /***/ "./node_modules/react-dom/cjs/react-dom.development.js": /*!*************************************************************!*\ !*** ./node_modules/react-dom/cjs/react-dom.development.js ***! \*************************************************************/ /*! no static exports found */ /***/ (function(module, exports, __webpack_require__) { "use strict"; /** @license React v16.13.1 * react-dom.development.js * * Copyright (c) Facebook, Inc. and its affiliates. * * This source code is licensed under the MIT license found in the * LICENSE file in the root directory of this source tree. */ if (true) { (function() { 'use strict'; var React = __webpack_require__(/*! react */ "./node_modules/react/index.js"); var _assign = __webpack_require__(/*! object-assign */ "./node_modules/object-assign/index.js"); var Scheduler = __webpack_require__(/*! scheduler */ "./node_modules/scheduler/index.js"); var checkPropTypes = __webpack_require__(/*! prop-types/checkPropTypes */ "./node_modules/prop-types/checkPropTypes.js"); var tracing = __webpack_require__(/*! scheduler/tracing */ "./node_modules/scheduler/tracing.js"); var ReactSharedInternals = React.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED; // Prevent newer renderers from RTE when used with older react package versions. // Current owner and dispatcher used to share the same ref, // but PR #14548 split them out to better support the react-debug-tools package. if (!ReactSharedInternals.hasOwnProperty('ReactCurrentDispatcher')) { ReactSharedInternals.ReactCurrentDispatcher = { current: null }; } if (!ReactSharedInternals.hasOwnProperty('ReactCurrentBatchConfig')) { ReactSharedInternals.ReactCurrentBatchConfig = { suspense: null }; } // by calls to these methods by a Babel plugin. // // In PROD (or in packages without access to React internals), // they are left as they are instead. function warn(format) { { for (var _len = arguments.length, args = new Array(_len > 1 ? _len - 1 : 0), _key = 1; _key < _len; _key++) { args[_key - 1] = arguments[_key]; } printWarning('warn', format, args); } } function error(format) { { for (var _len2 = arguments.length, args = new Array(_len2 > 1 ? _len2 - 1 : 0), _key2 = 1; _key2 < _len2; _key2++) { args[_key2 - 1] = arguments[_key2]; } printWarning('error', format, args); } } function printWarning(level, format, args) { // When changing this logic, you might want to also // update consoleWithStackDev.www.js as well. { var hasExistingStack = args.length > 0 && typeof args[args.length - 1] === 'string' && args[args.length - 1].indexOf('\n in') === 0; if (!hasExistingStack) { var ReactDebugCurrentFrame = ReactSharedInternals.ReactDebugCurrentFrame; var stack = ReactDebugCurrentFrame.getStackAddendum(); if (stack !== '') { format += '%s'; args = args.concat([stack]); } } var argsWithFormat = args.map(function (item) { return '' + item; }); // Careful: RN currently depends on this prefix argsWithFormat.unshift('Warning: ' + format); // We intentionally don't use spread (or .apply) directly because it // breaks IE9: https://github.com/facebook/react/issues/13610 // eslint-disable-next-line react-internal/no-production-logging Function.prototype.apply.call(console[level], console, argsWithFormat); try { // --- Welcome to debugging React --- // This error was thrown as a convenience so that you can use this stack // to find the callsite that caused this warning to fire. var argIndex = 0; var message = 'Warning: ' + format.replace(/%s/g, function () { return args[argIndex++]; }); throw new Error(message); } catch (x) {} } } if (!React) { { throw Error( "ReactDOM was loaded before React. Make sure you load the React package before loading ReactDOM." ); } } var invokeGuardedCallbackImpl = function (name, func, context, a, b, c, d, e, f) { var funcArgs = Array.prototype.slice.call(arguments, 3); try { func.apply(context, funcArgs); } catch (error) { this.onError(error); } }; { // In DEV mode, we swap out invokeGuardedCallback for a special version // that plays more nicely with the browser's DevTools. The idea is to preserve // "Pause on exceptions" behavior. Because React wraps all user-provided // functions in invokeGuardedCallback, and the production version of // invokeGuardedCallback uses a try-catch, all user exceptions are treated // like caught exceptions, and the DevTools won't pause unless the developer // takes the extra step of enabling pause on caught exceptions. This is // unintuitive, though, because even though React has caught the error, from // the developer's perspective, the error is uncaught. // // To preserve the expected "Pause on exceptions" behavior, we don't use a // try-catch in DEV. Instead, we synchronously dispatch a fake event to a fake // DOM node, and call the user-provided callback from inside an event handler // for that fake event. If the callback throws, the error is "captured" using // a global event handler. But because the error happens in a different // event loop context, it does not interrupt the normal program flow. // Effectively, this gives us try-catch behavior without actually using // try-catch. Neat! // Check that the browser supports the APIs we need to implement our special // DEV version of invokeGuardedCallback if (typeof window !== 'undefined' && typeof window.dispatchEvent === 'function' && typeof document !== 'undefined' && typeof document.createEvent === 'function') { var fakeNode = document.createElement('react'); var invokeGuardedCallbackDev = function (name, func, context, a, b, c, d, e, f) { // If document doesn't exist we know for sure we will crash in this method // when we call document.createEvent(). However this can cause confusing // errors: https://github.com/facebookincubator/create-react-app/issues/3482 // So we preemptively throw with a better message instead. if (!(typeof document !== 'undefined')) { { throw Error( "The `document` global was defined when React was initialized, but is not defined anymore. This can happen in a test environment if a component schedules an update from an asynchronous callback, but the test has already finished running. To solve this, you can either unmount the component at the end of your test (and ensure that any asynchronous operations get canceled in `componentWillUnmount`), or you can change the test itself to be asynchronous." ); } } var evt = document.createEvent('Event'); // Keeps track of whether the user-provided callback threw an error. We // set this to true at the beginning, then set it to false right after // calling the function. If the function errors, `didError` will never be // set to false. This strategy works even if the browser is flaky and // fails to call our global error handler, because it doesn't rely on // the error event at all. var didError = true; // Keeps track of the value of window.event so that we can reset it // during the callback to let user code access window.event in the // browsers that support it. var windowEvent = window.event; // Keeps track of the descriptor of window.event to restore it after event // dispatching: https://github.com/facebook/react/issues/13688 var windowEventDescriptor = Object.getOwnPropertyDescriptor(window, 'event'); // Create an event handler for our fake event. We will synchronously // dispatch our fake event using `dispatchEvent`. Inside the handler, we // call the user-provided callback. var funcArgs = Array.prototype.slice.call(arguments, 3); function callCallback() { // We immediately remove the callback from event listeners so that // nested `invokeGuardedCallback` calls do not clash. Otherwise, a // nested call would trigger the fake event handlers of any call higher // in the stack. fakeNode.removeEventListener(evtType, callCallback, false); // We check for window.hasOwnProperty('event') to prevent the // window.event assignment in both IE <= 10 as they throw an error // "Member not found" in strict mode, and in Firefox which does not // support window.event. if (typeof window.event !== 'undefined' && window.hasOwnProperty('event')) { window.event = windowEvent; } func.apply(context, funcArgs); didError = false; } // Create a global error event handler. We use this to capture the value // that was thrown. It's possible that this error handler will fire more // than once; for example, if non-React code also calls `dispatchEvent` // and a handler for that event throws. We should be resilient to most of // those cases. Even if our error event handler fires more than once, the // last error event is always used. If the callback actually does error, // we know that the last error event is the correct one, because it's not // possible for anything else to have happened in between our callback // erroring and the code that follows the `dispatchEvent` call below. If // the callback doesn't error, but the error event was fired, we know to // ignore it because `didError` will be false, as described above. var error; // Use this to track whether the error event is ever called. var didSetError = false; var isCrossOriginError = false; function handleWindowError(event) { error = event.error; didSetError = true; if (error === null && event.colno === 0 && event.lineno === 0) { isCrossOriginError = true; } if (event.defaultPrevented) { // Some other error handler has prevented default. // Browsers silence the error report if this happens. // We'll remember this to later decide whether to log it or not. if (error != null && typeof error === 'object') { try { error._suppressLogging = true; } catch (inner) {// Ignore. } } } } // Create a fake event type. var evtType = "react-" + (name ? name : 'invokeguardedcallback'); // Attach our event handlers window.addEventListener('error', handleWindowError); fakeNode.addEventListener(evtType, callCallback, false); // Synchronously dispatch our fake event. If the user-provided function // errors, it will trigger our global error handler. evt.initEvent(evtType, false, false); fakeNode.dispatchEvent(evt); if (windowEventDescriptor) { Object.defineProperty(window, 'event', windowEventDescriptor); } if (didError) { if (!didSetError) { // The callback errored, but the error event never fired. error = new Error('An error was thrown inside one of your components, but React ' + "doesn't know what it was. This is likely due to browser " + 'flakiness. React does its best to preserve the "Pause on ' + 'exceptions" behavior of the DevTools, which requires some ' + "DEV-mode only tricks. It's possible that these don't work in " + 'your browser. Try triggering the error in production mode, ' + 'or switching to a modern browser. If you suspect that this is ' + 'actually an issue with React, please file an issue.'); } else if (isCrossOriginError) { error = new Error("A cross-origin error was thrown. React doesn't have access to " + 'the actual error object in development. ' + 'See https://fb.me/react-crossorigin-error for more information.'); } this.onError(error); } // Remove our event listeners window.removeEventListener('error', handleWindowError); }; invokeGuardedCallbackImpl = invokeGuardedCallbackDev; } } var invokeGuardedCallbackImpl$1 = invokeGuardedCallbackImpl; var hasError = false; var caughtError = null; // Used by event system to capture/rethrow the first error. var hasRethrowError = false; var rethrowError = null; var reporter = { onError: function (error) { hasError = true; caughtError = error; } }; /** * Call a function while guarding against errors that happens within it. * Returns an error if it throws, otherwise null. * * In production, this is implemented using a try-catch. The reason we don't * use a try-catch directly is so that we can swap out a different * implementation in DEV mode. * * @param {String} name of the guard to use for logging or debugging * @param {Function} func The function to invoke * @param {*} context The context to use when calling the function * @param {...*} args Arguments for function */ function invokeGuardedCallback(name, func, context, a, b, c, d, e, f) { hasError = false; caughtError = null; invokeGuardedCallbackImpl$1.apply(reporter, arguments); } /** * Same as invokeGuardedCallback, but instead of returning an error, it stores * it in a global so it can be rethrown by `rethrowCaughtError` later. * TODO: See if caughtError and rethrowError can be unified. * * @param {String} name of the guard to use for logging or debugging * @param {Function} func The function to invoke * @param {*} context The context to use when calling the function * @param {...*} args Arguments for function */ function invokeGuardedCallbackAndCatchFirstError(name, func, context, a, b, c, d, e, f) { invokeGuardedCallback.apply(this, arguments); if (hasError) { var error = clearCaughtError(); if (!hasRethrowError) { hasRethrowError = true; rethrowError = error; } } } /** * During execution of guarded functions we will capture the first error which * we will rethrow to be handled by the top level error handler. */ function rethrowCaughtError() { if (hasRethrowError) { var error = rethrowError; hasRethrowError = false; rethrowError = null; throw error; } } function hasCaughtError() { return hasError; } function clearCaughtError() { if (hasError) { var error = caughtError; hasError = false; caughtError = null; return error; } else { { { throw Error( "clearCaughtError was called but no error was captured. This error is likely caused by a bug in React. Please file an issue." ); } } } } var getFiberCurrentPropsFromNode = null; var getInstanceFromNode = null; var getNodeFromInstance = null; function setComponentTree(getFiberCurrentPropsFromNodeImpl, getInstanceFromNodeImpl, getNodeFromInstanceImpl) { getFiberCurrentPropsFromNode = getFiberCurrentPropsFromNodeImpl; getInstanceFromNode = getInstanceFromNodeImpl; getNodeFromInstance = getNodeFromInstanceImpl; { if (!getNodeFromInstance || !getInstanceFromNode) { error('EventPluginUtils.setComponentTree(...): Injected ' + 'module is missing getNodeFromInstance or getInstanceFromNode.'); } } } var validateEventDispatches; { validateEventDispatches = function (event) { var dispatchListeners = event._dispatchListeners; var dispatchInstances = event._dispatchInstances; var listenersIsArr = Array.isArray(dispatchListeners); var listenersLen = listenersIsArr ? dispatchListeners.length : dispatchListeners ? 1 : 0; var instancesIsArr = Array.isArray(dispatchInstances); var instancesLen = instancesIsArr ? dispatchInstances.length : dispatchInstances ? 1 : 0; if (instancesIsArr !== listenersIsArr || instancesLen !== listenersLen) { error('EventPluginUtils: Invalid `event`.'); } }; } /** * Dispatch the event to the listener. * @param {SyntheticEvent} event SyntheticEvent to handle * @param {function} listener Application-level callback * @param {*} inst Internal component instance */ function executeDispatch(event, listener, inst) { var type = event.type || 'unknown-event'; event.currentTarget = getNodeFromInstance(inst); invokeGuardedCallbackAndCatchFirstError(type, listener, undefined, event); event.currentTarget = null; } /** * Standard/simple iteration through an event's collected dispatches. */ function executeDispatchesInOrder(event) { var dispatchListeners = event._dispatchListeners; var dispatchInstances = event._dispatchInstances; { validateEventDispatches(event); } if (Array.isArray(dispatchListeners)) { for (var i = 0; i < dispatchListeners.length; i++) { if (event.isPropagationStopped()) { break; } // Listeners and Instances are two parallel arrays that are always in sync. executeDispatch(event, dispatchListeners[i], dispatchInstances[i]); } } else if (dispatchListeners) { executeDispatch(event, dispatchListeners, dispatchInstances); } event._dispatchListeners = null; event._dispatchInstances = null; } var FunctionComponent = 0; var ClassComponent = 1; var IndeterminateComponent = 2; // Before we know whether it is function or class var HostRoot = 3; // Root of a host tree. Could be nested inside another node. var HostPortal = 4; // A subtree. Could be an entry point to a different renderer. var HostComponent = 5; var HostText = 6; var Fragment = 7; var Mode = 8; var ContextConsumer = 9; var ContextProvider = 10; var ForwardRef = 11; var Profiler = 12; var SuspenseComponent = 13; var MemoComponent = 14; var SimpleMemoComponent = 15; var LazyComponent = 16; var IncompleteClassComponent = 17; var DehydratedFragment = 18; var SuspenseListComponent = 19; var FundamentalComponent = 20; var ScopeComponent = 21; var Block = 22; /** * Injectable ordering of event plugins. */ var eventPluginOrder = null; /** * Injectable mapping from names to event plugin modules. */ var namesToPlugins = {}; /** * Recomputes the plugin list using the injected plugins and plugin ordering. * * @private */ function recomputePluginOrdering() { if (!eventPluginOrder) { // Wait until an `eventPluginOrder` is injected. return; } for (var pluginName in namesToPlugins) { var pluginModule = namesToPlugins[pluginName]; var pluginIndex = eventPluginOrder.indexOf(pluginName); if (!(pluginIndex > -1)) { { throw Error( "EventPluginRegistry: Cannot inject event plugins that do not exist in the plugin ordering, `" + pluginName + "`." ); } } if (plugins[pluginIndex]) { continue; } if (!pluginModule.extractEvents) { { throw Error( "EventPluginRegistry: Event plugins must implement an `extractEvents` method, but `" + pluginName + "` does not." ); } } plugins[pluginIndex] = pluginModule; var publishedEvents = pluginModule.eventTypes; for (var eventName in publishedEvents) { if (!publishEventForPlugin(publishedEvents[eventName], pluginModule, eventName)) { { throw Error( "EventPluginRegistry: Failed to publish event `" + eventName + "` for plugin `" + pluginName + "`." ); } } } } } /** * Publishes an event so that it can be dispatched by the supplied plugin. * * @param {object} dispatchConfig Dispatch configuration for the event. * @param {object} PluginModule Plugin publishing the event. * @return {boolean} True if the event was successfully published. * @private */ function publishEventForPlugin(dispatchConfig, pluginModule, eventName) { if (!!eventNameDispatchConfigs.hasOwnProperty(eventName)) { { throw Error( "EventPluginRegistry: More than one plugin attempted to publish the same event name, `" + eventName + "`." ); } } eventNameDispatchConfigs[eventName] = dispatchConfig; var phasedRegistrationNames = dispatchConfig.phasedRegistrationNames; if (phasedRegistrationNames) { for (var phaseName in phasedRegistrationNames) { if (phasedRegistrationNames.hasOwnProperty(phaseName)) { var phasedRegistrationName = phasedRegistrationNames[phaseName]; publishRegistrationName(phasedRegistrationName, pluginModule, eventName); } } return true; } else if (dispatchConfig.registrationName) { publishRegistrationName(dispatchConfig.registrationName, pluginModule, eventName); return true; } return false; } /** * Publishes a registration name that is used to identify dispatched events. * * @param {string} registrationName Registration name to add. * @param {object} PluginModule Plugin publishing the event. * @private */ function publishRegistrationName(registrationName, pluginModule, eventName) { if (!!registrationNameModules[registrationName]) { { throw Error( "EventPluginRegistry: More than one plugin attempted to publish the same registration name, `" + registrationName + "`." ); } } registrationNameModules[registrationName] = pluginModule; registrationNameDependencies[registrationName] = pluginModule.eventTypes[eventName].dependencies; { var lowerCasedName = registrationName.toLowerCase(); possibleRegistrationNames[lowerCasedName] = registrationName; if (registrationName === 'onDoubleClick') { possibleRegistrationNames.ondblclick = registrationName; } } } /** * Registers plugins so that they can extract and dispatch events. */ /** * Ordered list of injected plugins. */ var plugins = []; /** * Mapping from event name to dispatch config */ var eventNameDispatchConfigs = {}; /** * Mapping from registration name to plugin module */ var registrationNameModules = {}; /** * Mapping from registration name to event name */ var registrationNameDependencies = {}; /** * Mapping from lowercase registration names to the properly cased version, * used to warn in the case of missing event handlers. Available * only in true. * @type {Object} */ var possibleRegistrationNames = {} ; // Trust the developer to only use possibleRegistrationNames in true /** * Injects an ordering of plugins (by plugin name). This allows the ordering * to be decoupled from injection of the actual plugins so that ordering is * always deterministic regardless of packaging, on-the-fly injection, etc. * * @param {array} InjectedEventPluginOrder * @internal */ function injectEventPluginOrder(injectedEventPluginOrder) { if (!!eventPluginOrder) { { throw Error( "EventPluginRegistry: Cannot inject event plugin ordering more than once. You are likely trying to load more than one copy of React." ); } } // Clone the ordering so it cannot be dynamically mutated. eventPluginOrder = Array.prototype.slice.call(injectedEventPluginOrder); recomputePluginOrdering(); } /** * Injects plugins to be used by plugin event system. The plugin names must be * in the ordering injected by `injectEventPluginOrder`. * * Plugins can be injected as part of page initialization or on-the-fly. * * @param {object} injectedNamesToPlugins Map from names to plugin modules. * @internal */ function injectEventPluginsByName(injectedNamesToPlugins) { var isOrderingDirty = false; for (var pluginName in injectedNamesToPlugins) { if (!injectedNamesToPlugins.hasOwnProperty(pluginName)) { continue; } var pluginModule = injectedNamesToPlugins[pluginName]; if (!namesToPlugins.hasOwnProperty(pluginName) || namesToPlugins[pluginName] !== pluginModule) { if (!!namesToPlugins[pluginName]) { { throw Error( "EventPluginRegistry: Cannot inject two different event plugins using the same name, `" + pluginName + "`." ); } } namesToPlugins[pluginName] = pluginModule; isOrderingDirty = true; } } if (isOrderingDirty) { recomputePluginOrdering(); } } var canUseDOM = !!(typeof window !== 'undefined' && typeof window.document !== 'undefined' && typeof window.document.createElement !== 'undefined'); var PLUGIN_EVENT_SYSTEM = 1; var IS_REPLAYED = 1 << 5; var IS_FIRST_ANCESTOR = 1 << 6; var restoreImpl = null; var restoreTarget = null; var restoreQueue = null; function restoreStateOfTarget(target) { // We perform this translation at the end of the event loop so that we // always receive the correct fiber here var internalInstance = getInstanceFromNode(target); if (!internalInstance) { // Unmounted return; } if (!(typeof restoreImpl === 'function')) { { throw Error( "setRestoreImplementation() needs to be called to handle a target for controlled events. This error is likely caused by a bug in React. Please file an issue." ); } } var stateNode = internalInstance.stateNode; // Guard against Fiber being unmounted. if (stateNode) { var _props = getFiberCurrentPropsFromNode(stateNode); restoreImpl(internalInstance.stateNode, internalInstance.type, _props); } } function setRestoreImplementation(impl) { restoreImpl = impl; } function enqueueStateRestore(target) { if (restoreTarget) { if (restoreQueue) { restoreQueue.push(target); } else { restoreQueue = [target]; } } else { restoreTarget = target; } } function needsStateRestore() { return restoreTarget !== null || restoreQueue !== null; } function restoreStateIfNeeded() { if (!restoreTarget) { return; } var target = restoreTarget; var queuedTargets = restoreQueue; restoreTarget = null; restoreQueue = null; restoreStateOfTarget(target); if (queuedTargets) { for (var i = 0; i < queuedTargets.length; i++) { restoreStateOfTarget(queuedTargets[i]); } } } var enableProfilerTimer = true; // Trace which interactions trigger each commit. var enableDeprecatedFlareAPI = false; // Experimental Host Component support. var enableFundamentalAPI = false; // Experimental Scope support. var warnAboutStringRefs = false; // the renderer. Such as when we're dispatching events or if third party // libraries need to call batchedUpdates. Eventually, this API will go away when // everything is batched by default. We'll then have a similar API to opt-out of // scheduled work and instead do synchronous work. // Defaults var batchedUpdatesImpl = function (fn, bookkeeping) { return fn(bookkeeping); }; var discreteUpdatesImpl = function (fn, a, b, c, d) { return fn(a, b, c, d); }; var flushDiscreteUpdatesImpl = function () {}; var batchedEventUpdatesImpl = batchedUpdatesImpl; var isInsideEventHandler = false; var isBatchingEventUpdates = false; function finishEventHandler() { // Here we wait until all updates have propagated, which is important // when using controlled components within layers: // https://github.com/facebook/react/issues/1698 // Then we restore state of any controlled component. var controlledComponentsHavePendingUpdates = needsStateRestore(); if (controlledComponentsHavePendingUpdates) { // If a controlled event was fired, we may need to restore the state of // the DOM node back to the controlled value. This is necessary when React // bails out of the update without touching the DOM. flushDiscreteUpdatesImpl(); restoreStateIfNeeded(); } } function batchedUpdates(fn, bookkeeping) { if (isInsideEventHandler) { // If we are currently inside another batch, we need to wait until it // fully completes before restoring state. return fn(bookkeeping); } isInsideEventHandler = true; try { return batchedUpdatesImpl(fn, bookkeeping); } finally { isInsideEventHandler = false; finishEventHandler(); } } function batchedEventUpdates(fn, a, b) { if (isBatchingEventUpdates) { // If we are currently inside another batch, we need to wait until it // fully completes before restoring state. return fn(a, b); } isBatchingEventUpdates = true; try { return batchedEventUpdatesImpl(fn, a, b); } finally { isBatchingEventUpdates = false; finishEventHandler(); } } // This is for the React Flare event system function discreteUpdates(fn, a, b, c, d) { var prevIsInsideEventHandler = isInsideEventHandler; isInsideEventHandler = true; try { return discreteUpdatesImpl(fn, a, b, c, d); } finally { isInsideEventHandler = prevIsInsideEventHandler; if (!isInsideEventHandler) { finishEventHandler(); } } } function flushDiscreteUpdatesIfNeeded(timeStamp) { // event.timeStamp isn't overly reliable due to inconsistencies in // how different browsers have historically provided the time stamp. // Some browsers provide high-resolution time stamps for all events, // some provide low-resolution time stamps for all events. FF < 52 // even mixes both time stamps together. Some browsers even report // negative time stamps or time stamps that are 0 (iOS9) in some cases. // Given we are only comparing two time stamps with equality (!==), // we are safe from the resolution differences. If the time stamp is 0 // we bail-out of preventing the flush, which can affect semantics, // such as if an earlier flush removes or adds event listeners that // are fired in the subsequent flush. However, this is the same // behaviour as we had before this change, so the risks are low. if (!isInsideEventHandler && (!enableDeprecatedFlareAPI )) { flushDiscreteUpdatesImpl(); } } function setBatchingImplementation(_batchedUpdatesImpl, _discreteUpdatesImpl, _flushDiscreteUpdatesImpl, _batchedEventUpdatesImpl) { batchedUpdatesImpl = _batchedUpdatesImpl; discreteUpdatesImpl = _discreteUpdatesImpl; flushDiscreteUpdatesImpl = _flushDiscreteUpdatesImpl; batchedEventUpdatesImpl = _batchedEventUpdatesImpl; } var DiscreteEvent = 0; var UserBlockingEvent = 1; var ContinuousEvent = 2; // A reserved attribute. // It is handled by React separately and shouldn't be written to the DOM. var RESERVED = 0; // A simple string attribute. // Attributes that aren't in the whitelist are presumed to have this type. var STRING = 1; // A string attribute that accepts booleans in React. In HTML, these are called // "enumerated" attributes with "true" and "false" as possible values. // When true, it should be set to a "true" string. // When false, it should be set to a "false" string. var BOOLEANISH_STRING = 2; // A real boolean attribute. // When true, it should be present (set either to an empty string or its name). // When false, it should be omitted. var BOOLEAN = 3; // An attribute that can be used as a flag as well as with a value. // When true, it should be present (set either to an empty string or its name). // When false, it should be omitted. // For any other value, should be present with that value. var OVERLOADED_BOOLEAN = 4; // An attribute that must be numeric or parse as a numeric. // When falsy, it should be removed. var NUMERIC = 5; // An attribute that must be positive numeric or parse as a positive numeric. // When falsy, it should be removed. var POSITIVE_NUMERIC = 6; /* eslint-disable max-len */ var ATTRIBUTE_NAME_START_CHAR = ":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"; /* eslint-enable max-len */ var ATTRIBUTE_NAME_CHAR = ATTRIBUTE_NAME_START_CHAR + "\\-.0-9\\u00B7\\u0300-\\u036F\\u203F-\\u2040"; var ROOT_ATTRIBUTE_NAME = 'data-reactroot'; var VALID_ATTRIBUTE_NAME_REGEX = new RegExp('^[' + ATTRIBUTE_NAME_START_CHAR + '][' + ATTRIBUTE_NAME_CHAR + ']*$'); var hasOwnProperty = Object.prototype.hasOwnProperty; var illegalAttributeNameCache = {}; var validatedAttributeNameCache = {}; function isAttributeNameSafe(attributeName) { if (hasOwnProperty.call(validatedAttributeNameCache, attributeName)) { return true; } if (hasOwnProperty.call(illegalAttributeNameCache, attributeName)) { return false; } if (VALID_ATTRIBUTE_NAME_REGEX.test(attributeName)) { validatedAttributeNameCache[attributeName] = true; return true; } illegalAttributeNameCache[attributeName] = true; { error('Invalid attribute name: `%s`', attributeName); } return false; } function shouldIgnoreAttribute(name, propertyInfo, isCustomComponentTag) { if (propertyInfo !== null) { return propertyInfo.type === RESERVED; } if (isCustomComponentTag) { return false; } if (name.length > 2 && (name[0] === 'o' || name[0] === 'O') && (name[1] === 'n' || name[1] === 'N')) { return true; } return false; } function shouldRemoveAttributeWithWarning(name, value, propertyInfo, isCustomComponentTag) { if (propertyInfo !== null && propertyInfo.type === RESERVED) { return false; } switch (typeof value) { case 'function': // $FlowIssue symbol is perfectly valid here case 'symbol': // eslint-disable-line return true; case 'boolean': { if (isCustomComponentTag) { return false; } if (propertyInfo !== null) { return !propertyInfo.acceptsBooleans; } else { var prefix = name.toLowerCase().slice(0, 5); return prefix !== 'data-' && prefix !== 'aria-'; } } default: return false; } } function shouldRemoveAttribute(name, value, propertyInfo, isCustomComponentTag) { if (value === null || typeof value === 'undefined') { return true; } if (shouldRemoveAttributeWithWarning(name, value, propertyInfo, isCustomComponentTag)) { return true; } if (isCustomComponentTag) { return false; } if (propertyInfo !== null) { switch (propertyInfo.type) { case BOOLEAN: return !value; case OVERLOADED_BOOLEAN: return value === false; case NUMERIC: return isNaN(value); case POSITIVE_NUMERIC: return isNaN(value) || value < 1; } } return false; } function getPropertyInfo(name) { return properties.hasOwnProperty(name) ? properties[name] : null; } function PropertyInfoRecord(name, type, mustUseProperty, attributeName, attributeNamespace, sanitizeURL) { this.acceptsBooleans = type === BOOLEANISH_STRING || type === BOOLEAN || type === OVERLOADED_BOOLEAN; this.attributeName = attributeName; this.attributeNamespace = attributeNamespace; this.mustUseProperty = mustUseProperty; this.propertyName = name; this.type = type; this.sanitizeURL = sanitizeURL; } // When adding attributes to this list, be sure to also add them to // the `possibleStandardNames` module to ensure casing and incorrect // name warnings. var properties = {}; // These props are reserved by React. They shouldn't be written to the DOM. var reservedProps = ['children', 'dangerouslySetInnerHTML', // TODO: This prevents the assignment of defaultValue to regular // elements (not just inputs). Now that ReactDOMInput assigns to the // defaultValue property -- do we need this? 'defaultValue', 'defaultChecked', 'innerHTML', 'suppressContentEditableWarning', 'suppressHydrationWarning', 'style']; reservedProps.forEach(function (name) { properties[name] = new PropertyInfoRecord(name, RESERVED, false, // mustUseProperty name, // attributeName null, // attributeNamespace false); }); // A few React string attributes have a different name. // This is a mapping from React prop names to the attribute names. [['acceptCharset', 'accept-charset'], ['className', 'class'], ['htmlFor', 'for'], ['httpEquiv', 'http-equiv']].forEach(function (_ref) { var name = _ref[0], attributeName = _ref[1]; properties[name] = new PropertyInfoRecord(name, STRING, false, // mustUseProperty attributeName, // attributeName null, // attributeNamespace false); }); // These are "enumerated" HTML attributes that accept "true" and "false". // In React, we let users pass `true` and `false` even though technically // these aren't boolean attributes (they are coerced to strings). ['contentEditable', 'draggable', 'spellCheck', 'value'].forEach(function (name) { properties[name] = new PropertyInfoRecord(name, BOOLEANISH_STRING, false, // mustUseProperty name.toLowerCase(), // attributeName null, // attributeNamespace false); }); // These are "enumerated" SVG attributes that accept "true" and "false". // In React, we let users pass `true` and `false` even though technically // these aren't boolean attributes (they are coerced to strings). // Since these are SVG attributes, their attribute names are case-sensitive. ['autoReverse', 'externalResourcesRequired', 'focusable', 'preserveAlpha'].forEach(function (name) { properties[name] = new PropertyInfoRecord(name, BOOLEANISH_STRING, false, // mustUseProperty name, // attributeName null, // attributeNamespace false); }); // These are HTML boolean attributes. ['allowFullScreen', 'async', // Note: there is a special case that prevents it from being written to the DOM // on the client side because the browsers are inconsistent. Instead we call focus(). 'autoFocus', 'autoPlay', 'controls', 'default', 'defer', 'disabled', 'disablePictureInPicture', 'formNoValidate', 'hidden', 'loop', 'noModule', 'noValidate', 'open', 'playsInline', 'readOnly', 'required', 'reversed', 'scoped', 'seamless', // Microdata 'itemScope'].forEach(function (name) { properties[name] = new PropertyInfoRecord(name, BOOLEAN, false, // mustUseProperty name.toLowerCase(), // attributeName null, // attributeNamespace false); }); // These are the few React props that we set as DOM properties // rather than attributes. These are all booleans. ['checked', // Note: `option.selected` is not updated if `select.multiple` is // disabled with `removeAttribute`. We have special logic for handling this. 'multiple', 'muted', 'selected' // NOTE: if you add a camelCased prop to this list, // you'll need to set attributeName to name.toLowerCase() // instead in the assignment below. ].forEach(function (name) { properties[name] = new PropertyInfoRecord(name, BOOLEAN, true, // mustUseProperty name, // attributeName null, // attributeNamespace false); }); // These are HTML attributes that are "overloaded booleans": they behave like // booleans, but can also accept a string value. ['capture', 'download' // NOTE: if you add a camelCased prop to this list, // you'll need to set attributeName to name.toLowerCase() // instead in the assignment below. ].forEach(function (name) { properties[name] = new PropertyInfoRecord(name, OVERLOADED_BOOLEAN, false, // mustUseProperty name, // attributeName null, // attributeNamespace false); }); // These are HTML attributes that must be positive numbers. ['cols', 'rows', 'size', 'span' // NOTE: if you add a camelCased prop to this list, // you'll need to set attributeName to name.toLowerCase() // instead in the assignment below. ].forEach(function (name) { properties[name] = new PropertyInfoRecord(name, POSITIVE_NUMERIC, false, // mustUseProperty name, // attributeName null, // attributeNamespace false); }); // These are HTML attributes that must be numbers. ['rowSpan', 'start'].forEach(function (name) { properties[name] = new PropertyInfoRecord(name, NUMERIC, false, // mustUseProperty name.toLowerCase(), // attributeName null, // attributeNamespace false); }); var CAMELIZE = /[\-\:]([a-z])/g; var capitalize = function (token) { return token[1].toUpperCase(); }; // This is a list of all SVG attributes that need special casing, namespacing, // or boolean value assignment. Regular attributes that just accept strings // and have the same names are omitted, just like in the HTML whitelist. // Some of these attributes can be hard to find. This list was created by // scraping the MDN documentation. ['accent-height', 'alignment-baseline', 'arabic-form', 'baseline-shift', 'cap-height', 'clip-path', 'clip-rule', 'color-interpolation', 'color-interpolation-filters', 'color-profile', 'color-rendering', 'dominant-baseline', 'enable-background', 'fill-opacity', 'fill-rule', 'flood-color', 'flood-opacity', 'font-family', 'font-size', 'font-size-adjust', 'font-stretch', 'font-style', 'font-variant', 'font-weight', 'glyph-name', 'glyph-orientation-horizontal', 'glyph-orientation-vertical', 'horiz-adv-x', 'horiz-origin-x', 'image-rendering', 'letter-spacing', 'lighting-color', 'marker-end', 'marker-mid', 'marker-start', 'overline-position', 'overline-thickness', 'paint-order', 'panose-1', 'pointer-events', 'rendering-intent', 'shape-rendering', 'stop-color', 'stop-opacity', 'strikethrough-position', 'strikethrough-thickness', 'stroke-dasharray', 'stroke-dashoffset', 'stroke-linecap', 'stroke-linejoin', 'stroke-miterlimit', 'stroke-opacity', 'stroke-width', 'text-anchor', 'text-decoration', 'text-rendering', 'underline-position', 'underline-thickness', 'unicode-bidi', 'unicode-range', 'units-per-em', 'v-alphabetic', 'v-hanging', 'v-ideographic', 'v-mathematical', 'vector-effect', 'vert-adv-y', 'vert-origin-x', 'vert-origin-y', 'word-spacing', 'writing-mode', 'xmlns:xlink', 'x-height' // NOTE: if you add a camelCased prop to this list, // you'll need to set attributeName to name.toLowerCase() // instead in the assignment below. ].forEach(function (attributeName) { var name = attributeName.replace(CAMELIZE, capitalize); properties[name] = new PropertyInfoRecord(name, STRING, false, // mustUseProperty attributeName, null, // attributeNamespace false); }); // String SVG attributes with the xlink namespace. ['xlink:actuate', 'xlink:arcrole', 'xlink:role', 'xlink:show', 'xlink:title', 'xlink:type' // NOTE: if you add a camelCased prop to this list, // you'll need to set attributeName to name.toLowerCase() // instead in the assignment below. ].forEach(function (attributeName) { var name = attributeName.replace(CAMELIZE, capitalize); properties[name] = new PropertyInfoRecord(name, STRING, false, // mustUseProperty attributeName, 'http://www.w3.org/1999/xlink', false); }); // String SVG attributes with the xml namespace. ['xml:base', 'xml:lang', 'xml:space' // NOTE: if you add a camelCased prop to this list, // you'll need to set attributeName to name.toLowerCase() // instead in the assignment below. ].forEach(function (attributeName) { var name = attributeName.replace(CAMELIZE, capitalize); properties[name] = new PropertyInfoRecord(name, STRING, false, // mustUseProperty attributeName, 'http://www.w3.org/XML/1998/namespace', false); }); // These attribute exists both in HTML and SVG. // The attribute name is case-sensitive in SVG so we can't just use // the React name like we do for attributes that exist only in HTML. ['tabIndex', 'crossOrigin'].forEach(function (attributeName) { properties[attributeName] = new PropertyInfoRecord(attributeName, STRING, false, // mustUseProperty attributeName.toLowerCase(), // attributeName null, // attributeNamespace false); }); // These attributes accept URLs. These must not allow javascript: URLS. // These will also need to accept Trusted Types object in the future. var xlinkHref = 'xlinkHref'; properties[xlinkHref] = new PropertyInfoRecord('xlinkHref', STRING, false, // mustUseProperty 'xlink:href', 'http://www.w3.org/1999/xlink', true); ['src', 'href', 'action', 'formAction'].forEach(function (attributeName) { properties[attributeName] = new PropertyInfoRecord(attributeName, STRING, false, // mustUseProperty attributeName.toLowerCase(), // attributeName null, // attributeNamespace true); }); var ReactDebugCurrentFrame = null; { ReactDebugCurrentFrame = ReactSharedInternals.ReactDebugCurrentFrame; } // A javascript: URL can contain leading C0 control or \u0020 SPACE, // and any newline or tab are filtered out as if they're not part of the URL. // https://url.spec.whatwg.org/#url-parsing // Tab or newline are defined as \r\n\t: // https://infra.spec.whatwg.org/#ascii-tab-or-newline // A C0 control is a code point in the range \u0000 NULL to \u001F // INFORMATION SEPARATOR ONE, inclusive: // https://infra.spec.whatwg.org/#c0-control-or-space /* eslint-disable max-len */ var isJavaScriptProtocol = /^[\u0000-\u001F ]*j[\r\n\t]*a[\r\n\t]*v[\r\n\t]*a[\r\n\t]*s[\r\n\t]*c[\r\n\t]*r[\r\n\t]*i[\r\n\t]*p[\r\n\t]*t[\r\n\t]*\:/i; var didWarn = false; function sanitizeURL(url) { { if (!didWarn && isJavaScriptProtocol.test(url)) { didWarn = true; error('A future version of React will block javascript: URLs as a security precaution. ' + 'Use event handlers instead if you can. If you need to generate unsafe HTML try ' + 'using dangerouslySetInnerHTML instead. React was passed %s.', JSON.stringify(url)); } } } /** * Get the value for a property on a node. Only used in DEV for SSR validation. * The "expected" argument is used as a hint of what the expected value is. * Some properties have multiple equivalent values. */ function getValueForProperty(node, name, expected, propertyInfo) { { if (propertyInfo.mustUseProperty) { var propertyName = propertyInfo.propertyName; return node[propertyName]; } else { if ( propertyInfo.sanitizeURL) { // If we haven't fully disabled javascript: URLs, and if // the hydration is successful of a javascript: URL, we // still want to warn on the client. sanitizeURL('' + expected); } var attributeName = propertyInfo.attributeName; var stringValue = null; if (propertyInfo.type === OVERLOADED_BOOLEAN) { if (node.hasAttribute(attributeName)) { var value = node.getAttribute(attributeName); if (value === '') { return true; } if (shouldRemoveAttribute(name, expected, propertyInfo, false)) { return value; } if (value === '' + expected) { return expected; } return value; } } else if (node.hasAttribute(attributeName)) { if (shouldRemoveAttribute(name, expected, propertyInfo, false)) { // We had an attribute but shouldn't have had one, so read it // for the error message. return node.getAttribute(attributeName); } if (propertyInfo.type === BOOLEAN) { // If this was a boolean, it doesn't matter what the value is // the fact that we have it is the same as the expected. return expected; } // Even if this property uses a namespace we use getAttribute // because we assume its namespaced name is the same as our config. // To use getAttributeNS we need the local name which we don't have // in our config atm. stringValue = node.getAttribute(attributeName); } if (shouldRemoveAttribute(name, expected, propertyInfo, false)) { return stringValue === null ? expected : stringValue; } else if (stringValue === '' + expected) { return expected; } else { return stringValue; } } } } /** * Get the value for a attribute on a node. Only used in DEV for SSR validation. * The third argument is used as a hint of what the expected value is. Some * attributes have multiple equivalent values. */ function getValueForAttribute(node, name, expected) { { if (!isAttributeNameSafe(name)) { return; } if (!node.hasAttribute(name)) { return expected === undefined ? undefined : null; } var value = node.getAttribute(name); if (value === '' + expected) { return expected; } return value; } } /** * Sets the value for a property on a node. * * @param {DOMElement} node * @param {string} name * @param {*} value */ function setValueForProperty(node, name, value, isCustomComponentTag) { var propertyInfo = getPropertyInfo(name); if (shouldIgnoreAttribute(name, propertyInfo, isCustomComponentTag)) { return; } if (shouldRemoveAttribute(name, value, propertyInfo, isCustomComponentTag)) { value = null; } // If the prop isn't in the special list, treat it as a simple attribute. if (isCustomComponentTag || propertyInfo === null) { if (isAttributeNameSafe(name)) { var _attributeName = name; if (value === null) { node.removeAttribute(_attributeName); } else { node.setAttribute(_attributeName, '' + value); } } return; } var mustUseProperty = propertyInfo.mustUseProperty; if (mustUseProperty) { var propertyName = propertyInfo.propertyName; if (value === null) { var type = propertyInfo.type; node[propertyName] = type === BOOLEAN ? false : ''; } else { // Contrary to `setAttribute`, object properties are properly // `toString`ed by IE8/9. node[propertyName] = value; } return; } // The rest are treated as attributes with special cases. var attributeName = propertyInfo.attributeName, attributeNamespace = propertyInfo.attributeNamespace; if (value === null) { node.removeAttribute(attributeName); } else { var _type = propertyInfo.type; var attributeValue; if (_type === BOOLEAN || _type === OVERLOADED_BOOLEAN && value === true) { // If attribute type is boolean, we know for sure it won't be an execution sink // and we won't require Trusted Type here. attributeValue = ''; } else { // `setAttribute` with objects becomes only `[object]` in IE8/9, // ('' + value) makes it output the correct toString()-value. { attributeValue = '' + value; } if (propertyInfo.sanitizeURL) { sanitizeURL(attributeValue.toString()); } } if (attributeNamespace) { node.setAttributeNS(attributeNamespace, attributeName, attributeValue); } else { node.setAttribute(attributeName, attributeValue); } } } var BEFORE_SLASH_RE = /^(.*)[\\\/]/; function describeComponentFrame (name, source, ownerName) { var sourceInfo = ''; if (source) { var path = source.fileName; var fileName = path.replace(BEFORE_SLASH_RE, ''); { // In DEV, include code for a common special case: // prefer "folder/index.js" instead of just "index.js". if (/^index\./.test(fileName)) { var match = path.match(BEFORE_SLASH_RE); if (match) { var pathBeforeSlash = match[1]; if (pathBeforeSlash) { var folderName = pathBeforeSlash.replace(BEFORE_SLASH_RE, ''); fileName = folderName + '/' + fileName; } } } } sourceInfo = ' (at ' + fileName + ':' + source.lineNumber + ')'; } else if (ownerName) { sourceInfo = ' (created by ' + ownerName + ')'; } return '\n in ' + (name || 'Unknown') + sourceInfo; } // The Symbol used to tag the ReactElement-like types. If there is no native Symbol // nor polyfill, then a plain number is used for performance. var hasSymbol = typeof Symbol === 'function' && Symbol.for; var REACT_ELEMENT_TYPE = hasSymbol ? Symbol.for('react.element') : 0xeac7; var REACT_PORTAL_TYPE = hasSymbol ? Symbol.for('react.portal') : 0xeaca; var REACT_FRAGMENT_TYPE = hasSymbol ? Symbol.for('react.fragment') : 0xeacb; var REACT_STRICT_MODE_TYPE = hasSymbol ? Symbol.for('react.strict_mode') : 0xeacc; var REACT_PROFILER_TYPE = hasSymbol ? Symbol.for('react.profiler') : 0xead2; var REACT_PROVIDER_TYPE = hasSymbol ? Symbol.for('react.provider') : 0xeacd; var REACT_CONTEXT_TYPE = hasSymbol ? Symbol.for('react.context') : 0xeace; // TODO: We don't use AsyncMode or ConcurrentMode anymore. They were temporary var REACT_CONCURRENT_MODE_TYPE = hasSymbol ? Symbol.for('react.concurrent_mode') : 0xeacf; var REACT_FORWARD_REF_TYPE = hasSymbol ? Symbol.for('react.forward_ref') : 0xead0; var REACT_SUSPENSE_TYPE = hasSymbol ? Symbol.for('react.suspense') : 0xead1; var REACT_SUSPENSE_LIST_TYPE = hasSymbol ? Symbol.for('react.suspense_list') : 0xead8; var REACT_MEMO_TYPE = hasSymbol ? Symbol.for('react.memo') : 0xead3; var REACT_LAZY_TYPE = hasSymbol ? Symbol.for('react.lazy') : 0xead4; var REACT_BLOCK_TYPE = hasSymbol ? Symbol.for('react.block') : 0xead9; var MAYBE_ITERATOR_SYMBOL = typeof Symbol === 'function' && Symbol.iterator; var FAUX_ITERATOR_SYMBOL = '@@iterator'; function getIteratorFn(maybeIterable) { if (maybeIterable === null || typeof maybeIterable !== 'object') { return null; } var maybeIterator = MAYBE_ITERATOR_SYMBOL && maybeIterable[MAYBE_ITERATOR_SYMBOL] || maybeIterable[FAUX_ITERATOR_SYMBOL]; if (typeof maybeIterator === 'function') { return maybeIterator; } return null; } var Uninitialized = -1; var Pending = 0; var Resolved = 1; var Rejected = 2; function refineResolvedLazyComponent(lazyComponent) { return lazyComponent._status === Resolved ? lazyComponent._result : null; } function initializeLazyComponentType(lazyComponent) { if (lazyComponent._status === Uninitialized) { lazyComponent._status = Pending; var ctor = lazyComponent._ctor; var thenable = ctor(); lazyComponent._result = thenable; thenable.then(function (moduleObject) { if (lazyComponent._status === Pending) { var defaultExport = moduleObject.default; { if (defaultExport === undefined) { error('lazy: Expected the result of a dynamic import() call. ' + 'Instead received: %s\n\nYour code should look like: \n ' + "const MyComponent = lazy(() => import('./MyComponent'))", moduleObject); } } lazyComponent._status = Resolved; lazyComponent._result = defaultExport; } }, function (error) { if (lazyComponent._status === Pending) { lazyComponent._status = Rejected; lazyComponent._result = error; } }); } } function getWrappedName(outerType, innerType, wrapperName) { var functionName = innerType.displayName || innerType.name || ''; return outerType.displayName || (functionName !== '' ? wrapperName + "(" + functionName + ")" : wrapperName); } function getComponentName(type) { if (type == null) { // Host root, text node or just invalid type. return null; } { if (typeof type.tag === 'number') { error('Received an unexpected object in getComponentName(). ' + 'This is likely a bug in React. Please file an issue.'); } } if (typeof type === 'function') { return type.displayName || type.name || null; } if (typeof type === 'string') { return type; } switch (type) { case REACT_FRAGMENT_TYPE: return 'Fragment'; case REACT_PORTAL_TYPE: return 'Portal'; case REACT_PROFILER_TYPE: return "Profiler"; case REACT_STRICT_MODE_TYPE: return 'StrictMode'; case REACT_SUSPENSE_TYPE: return 'Suspense'; case REACT_SUSPENSE_LIST_TYPE: return 'SuspenseList'; } if (typeof type === 'object') { switch (type.$$typeof) { case REACT_CONTEXT_TYPE: return 'Context.Consumer'; case REACT_PROVIDER_TYPE: return 'Context.Provider'; case REACT_FORWARD_REF_TYPE: return getWrappedName(type, type.render, 'ForwardRef'); case REACT_MEMO_TYPE: return getComponentName(type.type); case REACT_BLOCK_TYPE: return getComponentName(type.render); case REACT_LAZY_TYPE: { var thenable = type; var resolvedThenable = refineResolvedLazyComponent(thenable); if (resolvedThenable) { return getComponentName(resolvedThenable); } break; } } } return null; } var ReactDebugCurrentFrame$1 = ReactSharedInternals.ReactDebugCurrentFrame; function describeFiber(fiber) { switch (fiber.tag) { case HostRoot: case HostPortal: case HostText: case Fragment: case ContextProvider: case ContextConsumer: return ''; default: var owner = fiber._debugOwner; var source = fiber._debugSource; var name = getComponentName(fiber.type); var ownerName = null; if (owner) { ownerName = getComponentName(owner.type); } return describeComponentFrame(name, source, ownerName); } } function getStackByFiberInDevAndProd(workInProgress) { var info = ''; var node = workInProgress; do { info += describeFiber(node); node = node.return; } while (node); return info; } var current = null; var isRendering = false; function getCurrentFiberOwnerNameInDevOrNull() { { if (current === null) { return null; } var owner = current._debugOwner; if (owner !== null && typeof owner !== 'undefined') { return getComponentName(owner.type); } } return null; } function getCurrentFiberStackInDev() { { if (current === null) { return ''; } // Safe because if current fiber exists, we are reconciling, // and it is guaranteed to be the work-in-progress version. return getStackByFiberInDevAndProd(current); } } function resetCurrentFiber() { { ReactDebugCurrentFrame$1.getCurrentStack = null; current = null; isRendering = false; } } function setCurrentFiber(fiber) { { ReactDebugCurrentFrame$1.getCurrentStack = getCurrentFiberStackInDev; current = fiber; isRendering = false; } } function setIsRendering(rendering) { { isRendering = rendering; } } // Flow does not allow string concatenation of most non-string types. To work // around this limitation, we use an opaque type that can only be obtained by // passing the value through getToStringValue first. function toString(value) { return '' + value; } function getToStringValue(value) { switch (typeof value) { case 'boolean': case 'number': case 'object': case 'string': case 'undefined': return value; default: // function, symbol are assigned as empty strings return ''; } } var ReactDebugCurrentFrame$2 = null; var ReactControlledValuePropTypes = { checkPropTypes: null }; { ReactDebugCurrentFrame$2 = ReactSharedInternals.ReactDebugCurrentFrame; var hasReadOnlyValue = { button: true, checkbox: true, image: true, hidden: true, radio: true, reset: true, submit: true }; var propTypes = { value: function (props, propName, componentName) { if (hasReadOnlyValue[props.type] || props.onChange || props.readOnly || props.disabled || props[propName] == null || enableDeprecatedFlareAPI ) { return null; } return new Error('You provided a `value` prop to a form field without an ' + '`onChange` handler. This will render a read-only field. If ' + 'the field should be mutable use `defaultValue`. Otherwise, ' + 'set either `onChange` or `readOnly`.'); }, checked: function (props, propName, componentName) { if (props.onChange || props.readOnly || props.disabled || props[propName] == null || enableDeprecatedFlareAPI ) { return null; } return new Error('You provided a `checked` prop to a form field without an ' + '`onChange` handler. This will render a read-only field. If ' + 'the field should be mutable use `defaultChecked`. Otherwise, ' + 'set either `onChange` or `readOnly`.'); } }; /** * Provide a linked `value` attribute for controlled forms. You should not use * this outside of the ReactDOM controlled form components. */ ReactControlledValuePropTypes.checkPropTypes = function (tagName, props) { checkPropTypes(propTypes, props, 'prop', tagName, ReactDebugCurrentFrame$2.getStackAddendum); }; } function isCheckable(elem) { var type = elem.type; var nodeName = elem.nodeName; return nodeName && nodeName.toLowerCase() === 'input' && (type === 'checkbox' || type === 'radio'); } function getTracker(node) { return node._valueTracker; } function detachTracker(node) { node._valueTracker = null; } function getValueFromNode(node) { var value = ''; if (!node) { return value; } if (isCheckable(node)) { value = node.checked ? 'true' : 'false'; } else { value = node.value; } return value; } function trackValueOnNode(node) { var valueField = isCheckable(node) ? 'checked' : 'value'; var descriptor = Object.getOwnPropertyDescriptor(node.constructor.prototype, valueField); var currentValue = '' + node[valueField]; // if someone has already defined a value or Safari, then bail // and don't track value will cause over reporting of changes, // but it's better then a hard failure // (needed for certain tests that spyOn input values and Safari) if (node.hasOwnProperty(valueField) || typeof descriptor === 'undefined' || typeof descriptor.get !== 'function' || typeof descriptor.set !== 'function') { return; } var get = descriptor.get, set = descriptor.set; Object.defineProperty(node, valueField, { configurable: true, get: function () { return get.call(this); }, set: function (value) { currentValue = '' + value; set.call(this, value); } }); // We could've passed this the first time // but it triggers a bug in IE11 and Edge 14/15. // Calling defineProperty() again should be equivalent. // https://github.com/facebook/react/issues/11768 Object.defineProperty(node, valueField, { enumerable: descriptor.enumerable }); var tracker = { getValue: function () { return currentValue; }, setValue: function (value) { currentValue = '' + value; }, stopTracking: function () { detachTracker(node); delete node[valueField]; } }; return tracker; } function track(node) { if (getTracker(node)) { return; } // TODO: Once it's just Fiber we can move this to node._wrapperState node._valueTracker = trackValueOnNode(node); } function updateValueIfChanged(node) { if (!node) { return false; } var tracker = getTracker(node); // if there is no tracker at this point it's unlikely // that trying again will succeed if (!tracker) { return true; } var lastValue = tracker.getValue(); var nextValue = getValueFromNode(node); if (nextValue !== lastValue) { tracker.setValue(nextValue); return true; } return false; } var didWarnValueDefaultValue = false; var didWarnCheckedDefaultChecked = false; var didWarnControlledToUncontrolled = false; var didWarnUncontrolledToControlled = false; function isControlled(props) { var usesChecked = props.type === 'checkbox' || props.type === 'radio'; return usesChecked ? props.checked != null : props.value != null; } /** * Implements an host component that allows setting these optional * props: `checked`, `value`, `defaultChecked`, and `defaultValue`. * * If `checked` or `value` are not supplied (or null/undefined), user actions * that affect the checked state or value will trigger updates to the element. * * If they are supplied (and not null/undefined), the rendered element will not * trigger updates to the element. Instead, the props must change in order for * the rendered element to be updated. * * The rendered element will be initialized as unchecked (or `defaultChecked`) * with an empty value (or `defaultValue`). * * See http://www.w3.org/TR/2012/WD-html5-20121025/the-input-element.html */ function getHostProps(element, props) { var node = element; var checked = props.checked; var hostProps = _assign({}, props, { defaultChecked: undefined, defaultValue: undefined, value: undefined, checked: checked != null ? checked : node._wrapperState.initialChecked }); return hostProps; } function initWrapperState(element, props) { { ReactControlledValuePropTypes.checkPropTypes('input', props); if (props.checked !== undefined && props.defaultChecked !== undefined && !didWarnCheckedDefaultChecked) { error('%s contains an input of type %s with both checked and defaultChecked props. ' + 'Input elements must be either controlled or uncontrolled ' + '(specify either the checked prop, or the defaultChecked prop, but not ' + 'both). Decide between using a controlled or uncontrolled input ' + 'element and remove one of these props. More info: ' + 'https://fb.me/react-controlled-components', getCurrentFiberOwnerNameInDevOrNull() || 'A component', props.type); didWarnCheckedDefaultChecked = true; } if (props.value !== undefined && props.defaultValue !== undefined && !didWarnValueDefaultValue) { error('%s contains an input of type %s with both value and defaultValue props. ' + 'Input elements must be either controlled or uncontrolled ' + '(specify either the value prop, or the defaultValue prop, but not ' + 'both). Decide between using a controlled or uncontrolled input ' + 'element and remove one of these props. More info: ' + 'https://fb.me/react-controlled-components', getCurrentFiberOwnerNameInDevOrNull() || 'A component', props.type); didWarnValueDefaultValue = true; } } var node = element; var defaultValue = props.defaultValue == null ? '' : props.defaultValue; node._wrapperState = { initialChecked: props.checked != null ? props.checked : props.defaultChecked, initialValue: getToStringValue(props.value != null ? props.value : defaultValue), controlled: isControlled(props) }; } function updateChecked(element, props) { var node = element; var checked = props.checked; if (checked != null) { setValueForProperty(node, 'checked', checked, false); } } function updateWrapper(element, props) { var node = element; { var controlled = isControlled(props); if (!node._wrapperState.controlled && controlled && !didWarnUncontrolledToControlled) { error('A component is changing an uncontrolled input of type %s to be controlled. ' + 'Input elements should not switch from uncontrolled to controlled (or vice versa). ' + 'Decide between using a controlled or uncontrolled input ' + 'element for the lifetime of the component. More info: https://fb.me/react-controlled-components', props.type); didWarnUncontrolledToControlled = true; } if (node._wrapperState.controlled && !controlled && !didWarnControlledToUncontrolled) { error('A component is changing a controlled input of type %s to be uncontrolled. ' + 'Input elements should not switch from controlled to uncontrolled (or vice versa). ' + 'Decide between using a controlled or uncontrolled input ' + 'element for the lifetime of the component. More info: https://fb.me/react-controlled-components', props.type); didWarnControlledToUncontrolled = true; } } updateChecked(element, props); var value = getToStringValue(props.value); var type = props.type; if (value != null) { if (type === 'number') { if (value === 0 && node.value === '' || // We explicitly want to coerce to number here if possible. // eslint-disable-next-line node.value != value) { node.value = toString(value); } } else if (node.value !== toString(value)) { node.value = toString(value); } } else if (type === 'submit' || type === 'reset') { // Submit/reset inputs need the attribute removed completely to avoid // blank-text buttons. node.removeAttribute('value'); return; } { // When syncing the value attribute, the value comes from a cascade of // properties: // 1. The value React property // 2. The defaultValue React property // 3. Otherwise there should be no change if (props.hasOwnProperty('value')) { setDefaultValue(node, props.type, value); } else if (props.hasOwnProperty('defaultValue')) { setDefaultValue(node, props.type, getToStringValue(props.defaultValue)); } } { // When syncing the checked attribute, it only changes when it needs // to be removed, such as transitioning from a checkbox into a text input if (props.checked == null && props.defaultChecked != null) { node.defaultChecked = !!props.defaultChecked; } } } function postMountWrapper(element, props, isHydrating) { var node = element; // Do not assign value if it is already set. This prevents user text input // from being lost during SSR hydration. if (props.hasOwnProperty('value') || props.hasOwnProperty('defaultValue')) { var type = props.type; var isButton = type === 'submit' || type === 'reset'; // Avoid setting value attribute on submit/reset inputs as it overrides the // default value provided by the browser. See: #12872 if (isButton && (props.value === undefined || props.value === null)) { return; } var initialValue = toString(node._wrapperState.initialValue); // Do not assign value if it is already set. This prevents user text input // from being lost during SSR hydration. if (!isHydrating) { { // When syncing the value attribute, the value property should use // the wrapperState._initialValue property. This uses: // // 1. The value React property when present // 2. The defaultValue React property when present // 3. An empty string if (initialValue !== node.value) { node.value = initialValue; } } } { // Otherwise, the value attribute is synchronized to the property, // so we assign defaultValue to the same thing as the value property // assignment step above. node.defaultValue = initialValue; } } // Normally, we'd just do `node.checked = node.checked` upon initial mount, less this bug // this is needed to work around a chrome bug where setting defaultChecked // will sometimes influence the value of checked (even after detachment). // Reference: https://bugs.chromium.org/p/chromium/issues/detail?id=608416 // We need to temporarily unset name to avoid disrupting radio button groups. var name = node.name; if (name !== '') { node.name = ''; } { // When syncing the checked attribute, both the checked property and // attribute are assigned at the same time using defaultChecked. This uses: // // 1. The checked React property when present // 2. The defaultChecked React property when present // 3. Otherwise, false node.defaultChecked = !node.defaultChecked; node.defaultChecked = !!node._wrapperState.initialChecked; } if (name !== '') { node.name = name; } } function restoreControlledState(element, props) { var node = element; updateWrapper(node, props); updateNamedCousins(node, props); } function updateNamedCousins(rootNode, props) { var name = props.name; if (props.type === 'radio' && name != null) { var queryRoot = rootNode; while (queryRoot.parentNode) { queryRoot = queryRoot.parentNode; } // If `rootNode.form` was non-null, then we could try `form.elements`, // but that sometimes behaves strangely in IE8. We could also try using // `form.getElementsByName`, but that will only return direct children // and won't include inputs that use the HTML5 `form=` attribute. Since // the input might not even be in a form. It might not even be in the // document. Let's just use the local `querySelectorAll` to ensure we don't // miss anything. var group = queryRoot.querySelectorAll('input[name=' + JSON.stringify('' + name) + '][type="radio"]'); for (var i = 0; i < group.length; i++) { var otherNode = group[i]; if (otherNode === rootNode || otherNode.form !== rootNode.form) { continue; } // This will throw if radio buttons rendered by different copies of React // and the same name are rendered into the same form (same as #1939). // That's probably okay; we don't support it just as we don't support // mixing React radio buttons with non-React ones. var otherProps = getFiberCurrentPropsFromNode$1(otherNode); if (!otherProps) { { throw Error( "ReactDOMInput: Mixing React and non-React radio inputs with the same `name` is not supported." ); } } // We need update the tracked value on the named cousin since the value // was changed but the input saw no event or value set updateValueIfChanged(otherNode); // If this is a controlled radio button group, forcing the input that // was previously checked to update will cause it to be come re-checked // as appropriate. updateWrapper(otherNode, otherProps); } } } // In Chrome, assigning defaultValue to certain input types triggers input validation. // For number inputs, the display value loses trailing decimal points. For email inputs, // Chrome raises "The specified value is not a valid email address". // // Here we check to see if the defaultValue has actually changed, avoiding these problems // when the user is inputting text // // https://github.com/facebook/react/issues/7253 function setDefaultValue(node, type, value) { if ( // Focused number inputs synchronize on blur. See ChangeEventPlugin.js type !== 'number' || node.ownerDocument.activeElement !== node) { if (value == null) { node.defaultValue = toString(node._wrapperState.initialValue); } else if (node.defaultValue !== toString(value)) { node.defaultValue = toString(value); } } } var didWarnSelectedSetOnOption = false; var didWarnInvalidChild = false; function flattenChildren(children) { var content = ''; // Flatten children. We'll warn if they are invalid // during validateProps() which runs for hydration too. // Note that this would throw on non-element objects. // Elements are stringified (which is normally irrelevant // but matters for ). React.Children.forEach(children, function (child) { if (child == null) { return; } content += child; // Note: we don't warn about invalid children here. // Instead, this is done separately below so that // it happens during the hydration codepath too. }); return content; } /** * Implements an