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C9WSwdCP3SRPHuz1xq3VPQggSy3+g+8xxSFNMNGH4jEGnK0rrYQpuqHYrh85IeLOSg5C+N/1PdzlBcFBqdAeiCjKWIvrrqhun1YqYLwEXBqHDk0mEGYD8vBcXieKQeA96Gfw2M3zLIDZxKU4ZagU6E2k7shI6aZci38IgLalu/5xLuIis9EQcm4GmxBAdE+1FULfeocP3L51KheuSKescszNRiBboI9JgFF1nQXocq2Wi1vx/fwosj//kH/be/fLLDeWfFLQjjGoabAbf3ipasBuAK+B7/xOEJY06EXwP9+IF27qU9cjX7onpTeae/A9RzD+w5+G9/98AH1tebxDBCGN7GYXAV1LAwHeGPMUDZMHe8yGZd12sWAcusUyQm0SQmwRQmSrRlbX0ocjett3YUVw0unVq8C+XrogJ5VzG1nkKt3U3V2JIC7ZBFDjgPqkeiP73LFjy7Mf/KoEuknKIK+qeT4qUrfR27RAmU6jJXUk68uDAULjTzy1NPrIcidaxZmOyki44TBChW41KQNxreR5pwdF/smL6BiX8CPOG3MHuaIkJQLqs++7QV3d3Bna4lwd/UunxLqHz6oDb99LaTd5h7OW89kCXQM/APZ2iwvv3KnOdhdQ4gSCqpz46qncNz9zHHvbsmj9wQPY15YJ2pR9NzGDIxGV8aB29mDsSJ8a39zhS5+mRMceocV3rQb4hZzADoGgV3meCFSg33c9Lq7Bq/N7uekqnL4O7F9nNkprWXet8KEUH97L0D0px5hivhCi5Hnen312E16q59VoIk+Z9VCrAugm+IJLl89DY9KuKrA5A+RlmMZMRU+rjWMVXBkr4rX+DrBvt3r4YajZ1DKbjsIjpdJNvu8fEuToSRbyeLan5c4y1EcZRFMN4H3jrN/9R9/DXk/BK2QC0d/uYWNnEOmR9ebAhUzu+5HdeOHgehX2JbcAYSWYERSeGcfRbIZYaj7QqwGQzaL0gd3ipZ09irq6CpQ6/8ffz5x65Y3gp/rb0NWWVb4HEXJICyJX+nG+kEIEh9cFV3/mDvF6VwEy6yHghqJdap6fz4hgp6fUhsAT0TpOMrqZW0X3K1UVzlwHtnWF9pJQJKrVyfUGati6NqyaGrZ9rZPqjrXIm8spGYxBZv706LblV7ByRQPdcG6/WMTmTAb7hQjrjfs+vAjgjngYQOLisB9sbJOB72uVTHm+fykDPGkk3ep8XCVFpfYFUt4sZJhqGfMa1f4dE8H55ckh3//jp7Hhm+exq7sA/227pKC1ntzcGotm2srHSwK3r8dzO9uULkRhA1n4+1gVmceHcAy+yIhAd0KdcsyHoxPoHoLq+/b7L+zuVCOBB1kZL3/z/360BePV4GcOb1Td9O/zxpY2BJEGCoGmJjkn/1ZCKE8o1ZZBcNcWdenD+9T5XNYrBxJeS1bs8oCNkrFsDse1MnZcVJ80pCmtQj1/GbjF2CjsHCwxXFGdGwc3BY7H2gB2h4yDPLxWKOGrr3dt8h9sVl2Amd53o9+vWKCbrKedJvmincD2/alFFifBJrW19uEzwNu2O5FW4fqqKomyn/OfywPnfh2ozkX8GpxQO/NZeauQaJ0NyDW4JPCZ46Lndx7zbtzUHvjvP6BQyDMYpNFXGZ43XhY41oPntrUZPdm5vBTA+/6I2jMkxQao5Eo38wX6ulY1+I6d4rWNBUxQ4BbC//wvfhsdshz8HIHe6oemfg1qaAlGHxHgzefW6k2EMVqNRSbfu1sV37dXvtGa9XM539sauCB3lOgakEeW8pA98/8TpdDG0JpzgmUMnVyQc04XRsNzLciTAe4QWaEiK/5v3rlbXJrdm1vYs2e5jBZ2Mo2MTjH9mdPo6ltfPbQun9mRDcGd+By1dtzQLfPY+TChJB5jDvhKQirhY9Sv+i9dyePcVqA4Gw6vlOodl/LNSk6WRa4BvLMYXd83n/sc3V5f9w8MloLuu/cqbO2epe/LEI9AP9qD5zYXQo4ecSnDRYvlIPv8mH+4GKhWkUC3+QDd90T5HVvly7vXedcZby8FlWv/wV99DJ3zBTpJl89A/dABod6/W8ek6ygV7Ru3UoF5WNfnHRrXDMjpKQiA568Ah3vNqnGsbvb18N1Uq8ClsdDbsJ1Frh0RnyO6xjlLYztUoIKnJoaH/vs9xqXYyLpe6HNWItB7qlXc8tqQ3Ezfxq6OMH3RPawvNk487swXRsL8aX2NQVuM+ypWLoXCUCnvP70hLL7YUN3wN95QrV3r5DuUgHYKJYHc/cx1n7141c//+D/itk2dgf8Dh9WsObl91vEycHOX/9zWVqmBrg0TDtr5+0g5KLw64d8oobKCe6SSGb2SqToHQk+LnFaL/dUwcIW0o2U9+ps1rMrGvVZVjA1VRzer127oxJBQXqA8qGoFE9s2+t/4L99F39Png588uFF1zpWjW2Ddtwv4oQMsXyWiABgXeK7BLXzsSZDzLz7D81eBw321G6lrbSfIr4wBpQDYzlJeJiZ+JoBbMguFkqoWf/uOXe3Lpl3UigI6Q0wrFRz0POwbq0AMTUjtL17PHj3miHNxl6OdHAD6u2vDwVzgxQGvM5dUcKKrNftCo2meo5XKu2QgNtZsMjF9vMY/boxLrwz6+X/1RRzbt1F6b2ef0jkedBv158RLB7u9gawnuWmFh2Pd1kCuwCsJZGQg8q0eNlZUkKkqb6SvDYOcrrWiM1SXuxznfK0U/iRY+ZlORaXF2VNBDkE1k8lWWeWG1vbOvO93tFSPH+3LbP777wfH/uRpr+uGbumxLvtcRHcLdIb3/sAB4Fh/uHRr3F4G15PJ98qEsoYk4OZF/byiwjp39qgBeQBcGZk7yLmvUGXJZtRnL49lvvH+vc2p4TfH5RBdtmKAbnTyfVLqSiRakDo1JLV7and3WOu7Hsh5Lhfu108Bb9nqxGg71HMBEW0aOuzKDyoV9foz45ln3r0R4zOJ8qMVda8MZJhfPY2oznu4hjIC/d9+Bcdu3Sq9w4ndzRp71bzliTfElbu3qNO716Fo51ATYGP84BxRqCCbzYptvpcRY2UUt7bLi0pBEqxusA03EPrpuaVaYUi7z8xGRVGdNM7l/YyvpH/HZn93d052l6QQP/D3nnd+NBDHNqvQym0Nb7PQ0S0pabP4wf3Ah/ZMkndSZHaBPwlyLd1zo1PA8QFgdw+QpdIf2ygopjMi73oJ2NFlrOsxd6Z9C1OC252oOU+xopcaKLRlfu9ojzBhUo29v4U6a0UA3bjP2IPrmGtN50I8NUIns4+tbZN1xV1i2QXChfiSCZCwsdMabEknO59zIZ8dhroypq7ctiXz0sVTuORmYcVfzPUxdbsScrcQYUCI9flOSdxwCjXwvO8P+vmf+QqO3bZNejfVVlGf9bt/7LRQO1px8kN7vAtZ3+Hq3PBsqpkdVSBTyPrbKwFEqRqo9rw30paRVzTIbU45QvcSRXhG7ulNw2wWNFgR4JmM7/Xk0XZgfbC9q4BOz4NflRAPnQN+7WEmeQe4caOxAM4D6HyfP7CP/8SUrLNoXw2oeRnQO5IMo/yevgTcSnnL8S/yXEb5DUxQrQF2OfaRuC6emL0yNTSWGkNlvFr8zft2ty8Lo9xKATpTQljeiAUXa45iReosMCZxMC7aHu4L4qKkbs5Y80ZAHinkZhdgYgp93Df1YqSK6kuVgfyZXU5utTuhgfHxrVmVu1V56EwCuY1ki6sM5Og/9xUcO9oEoHNBP3zCD4714pU7t2KwrSAlS9QRkJG0YjYhXyCT9/3tE+XAyzDMJ0CpI68ueQJlG3ZKqekiCzSCapLDxQ3IOwvI97eK7j3rsD2XCfsskl50Yf3yQx4YD3uoV6ElP2k8m63V3b5P/vyIAbp+FhdkxvGdpK7oQJkAeO4ycMikBpvLteHtGjl5EbiBATQx4549L3HHTQK5DuZB1cvIPzn77dyrcy3SOesdfpoLVgTQi0rdkA+5ecQl3SXLHGweDCe1xRRdPZic6PFzwM39Uws9RAvfdc/EjHQEOqPXaMCRgT9WreK47MGJpBZD9O1fL1XvZYokx64xhjkiRA1jZaHFIT//819rDtB5m8sjwGOv+8HBdTi9pT0Ya8+iKhSFVx1sonV3FUghPN9vz6D/egWC8fcMcvE9bwyiMqikr6M9q1Uphiu+4gbYka3VzzMK/uGN3qYtHcEGD/Cp/45XQ875X58J5fTtXQq9BQYtNAnoe4AP759cupyjjVO3gS81LjbjzrPuso3tjhFdx+kDgyVTQ98xvLm4qeHksZBY+57t+TpAQ0F6nv+Zri341iExmYffTPDOZqxlD3ST7cRCi7pKaK3BLPyLoGbFFuZwE+zuwTO02D4I7Nd11aeK69GYTpFF9z6s38YsM4p0OtLMw4QfyFer13PHkzj74IS6W0lsDiCdKjPhrFy93D4MAfTKkJ//xSYCnfeaKAPfeE2wmIVqz3jFfI42tEml01iovVwGuXJFCScdlFWVSjbsU9PYXuYAgRyyq4B8e97LCZaXCEKuSN8zN1fq8jesV9pfrY1UjjtsXhzdAD0CuJ5giD6rd0d6u+X6NMTRcxCEhjj7GLqIxjjQkQNaEyru1nDzaQBeZpC9Z2KfmaurEHi+/2Sbj79dDskuyx7oV5TqaCnhzmwGtZbsGORHKsCgrbXmgJmLi6mf1C2Z811zuHHWdUCuueMwMGESUOzurYQ/BomXd6zH8XiV1asj6kb4uFEGYbpqiPDJ5Az7t+X2nOOJAT//8w81R0eP7/TMMONCpEgf7owhB9Rcz+ZzOJ9p37QBZhQaakFkLrTX6wg2Ez+uxzWslIueYHIDYZoJ9A/uNzq6Abhb5tY1zkXvKwi5dsEDGOfPaENuVFeL4Zw31NTrDcnUCBfntaOV8F97PvRIcGwVQAlPnPJbvT+9c70Iw5GX8Fj2QD9+QW0QObwzn0F2ss55LV+3Yho5L7k387Ej7hQATzDccb2Ow470r3r+7JiLTaeXsgcaD3ICu3D1eb4/XAWeu/gMzsXj5S+NVt4FGDebC3J3Q3GMXScG/fy/XyCgR+vLgtruPY7ZWf9qotIIWILArZ+mK7o4RjT9u90c3MQPY93WADOprvr3JnL0D+0BPrQ3TCxNKgllNzBXfOd5mnNnw6w9/s2AGOYGsBKQG3JVz6Ju6ajdj1WAzIWbGaWY3tZQWnTiapRS8nxJ5v7oXTcsfXOJZQ/0UaU2Dg/jXYMViXYvLPm7viUkaqRWO+ikCE+jHDcFunIocl8YBrbSpTLJXEPGFjNORYBwgEm/q2075BZsjYxqvn+hWsXzRzbiiut6e+lS5c2eJ3YUfGSSuozWbBgSeHXQz//SNxeGo69OoDvqhMN97YZln9lKGAQ2DW5U7+iKvV4Ogb+7i5lntazWjayrMeoG4aZP42RWAOMVIJcJpUWdXVhbkSbwlHptuDL85+/fuz7l6NNJM3SrjQP9GYl3MhCDllyW/7WVU2lp5+9OkFsEbHJ1fsfqLTrn2xRiiHblOiCvsYrL8H7cLDiGvcTVs/XuLtWZscrY82/b0R2VS/rvJ9XGg624PStkNzcKBpZwntygGORj52zvR6D/Sgr0SKqIx7q7VvcP3EA/em22mZUaaoxwroGVojvLYBuWe3EU2NSqa99PFdON3K7fLUXzUuiD98VkwE0PdXpTxSdupTdSBovvPj4xXPj0e24WY0sotetbL2uOTkMcYxeElHe5AL1cDN03Ualk49+1FneWb2KIK11BzPPe35lctYVjuoa4eFAJXzQrsuoCjqYAgtW17RrS1mumY3r+axNDePGtByYrg56+WnnnmBT9A0UIFptgAF+LH4KdfttRivFsHeoD50b8/McfTzm6VR9mAvoH9kzq0EmiejwYnePRGEddmlIauXpvS8jNXcOdrTxDm0xGhFLhCCMCVWiwox5eU5UnXh/ALAxqKkJU/r53rPDt6eIuFmsDWO5Az5WB3ZDymN6xLVUMOslpdeKB6cvFYosMCGGpZZYj5otdnwsLM9puIrEh9J9xDu3GwNNNxZJGu0z9cjsPPQWTdaYrgrapAAAgAElEQVQ/81BV5eBlb2f2xWMmNv7MUPEGhcxtMkDOiuqck9b7KQZOhM/ERXdhxM//4ZMp0BsF+vsZPhUrz6wZsStrm5etP+LaUKFvvycf5juUZOgKtPEF3Iipv4+aJhh8Lx350HhH4+IU3d2tYBO7L/3ofq76ibduybP6bcKsFgvi4X1WAtD3QsqjcZDXBJyYwA2CnmIygU1gsSIqK7b0sZtIXFR3fOVTDHOOkWxwIuQADLaJuLjrZ3ci3ITnDwuBR45txgCDSymRnB6SHwyU314JpKZ1VPrJ+Z2fvzrg5x94NAV6I0B//w0AxXdXnA/96LXgsQC3Yv14EJaPOtgbnsoEF4b10rDGozUTcm0dphurzBGB3FUH7EaSBGM2zaj6v/GWPcuj+eOyB/poGXszvjxar2LLFA5tiE5R2bb1JTeebFVcm7UWB7lrJKPRhcEUfOcttpijBXYshNW+62qgTldaMs/c0yd0TZKT19QRqXBAVqXuZcbzrDQQqQ4SeG0oBboFpE0/tUCNd08h0N9nEn94znRcPJLAVNjPbl2LSWhxV37MPx7HbXwTcb+3Vn+7DnkutQEFdW10ZOz3Pnhk0m6zuDy89m7LHejZErBbleXtSSJ3zWcO9SN3sQzrqtMQ10Oji7GARUY1uyO73N2MQ85L6YAGnI3WEDcDyLlJeJ5ulPD02TG8dv8hUX7krGrpKcj7ggCdTPSqAbmzWRDov5ly9IaMce91gJ4IcvMOI8OcAq5OhIUzt3TGinlMA/LZcnFHtGcC2zdHBwYe/NCxzeNLCXB77+UOdJaJ2g5PsuPmlCP6zIIzBlz+SaPKqWFgR9tkx5QkH7qN67ZclkBnJhOTOXaxSIHRx2uuNffTn9U2XLiey/rfuWubuAalxCsXyvvLwj8iPeSsMS/6acZIgR4SohHRnUDnv2lFdWe1UDI7MwLsYCko6yN1YgqSJO8afbyOwc3l4u7iDBSqIlv9w29szZ+cS6WihdgYljXQWTVsbAybVEbeG394C644p0/yjevupWPADmYlmRdd06TQ0cldqzqt7dTR6aqLA9O1usdzvXluRaizE6XM0x85IEZefPHFXLFn3zuznlhXqbjNFyfXKoH+sSZw9A4vwA2tFbSzU0T8cFZv/NtITHauiSzf5jOK0BqMlmOan24kmqsXu2DhNTSGXZrw8J0Lef07v2+0lJSrj793lwG6O1ez2U4RuxV0tdeuAtBlS3MlGPHqgdb1jbvPVhfk+gt1XgaZTyyHQBk7z2UOdICN/5CV73LXrAvyRiLcyJ3PDIfuLQY3RJtDrBiDBqj5klyARjgeDJuM1AFnIq4UwI+1e86eqKS6Mhx850duKbwOIdSzA2qrnJB3VlWY3WXWZTTu6SYAvTcb4Jb2EnYVKmixtcqnwn3en8zVhEywD1UEvnc1i//2Wh5SefMGeo3BLfZk3EjCjqxhiCvdZQndVqKr4lzcviN3c3NvEbfC67mwvp2n/rL9aubJ5VTjfdkDfUSpPiFxL2TY4XMmkNeI+E6EGzn48SFghwmPTRLVOb7GNvVzRtRRbI+51epuEuY6bXAzkzh+vXpZXs5/42feL0rManvqQvUuKcV2tkKKjHJmNZGj/+48/ej39EzgcGsZrOKyXA+CgxFl/8djHRipzA/o04Fcvw5Fbwawq8uEP8dCgOM0cnXymQxu8WstyCHEWDnj/dZ7qbYto2PZA/26UusyEm9XUrYngbyRMFaNJdPqd6ASxjZH0XRmM9DAc3YJBuScGQRu7Jvkvu5GU2PQc8ZwRfxXBiS68urxtlvyJ9mX/Mk3VG9FyXvZpSSu15Ojzxfo9/eNYnshyZqxjFYcgS6B33i6Fa+NZOfM0d9tdPS6+rXSBUN0JRnGodsgl7rnO19EasL02k8klUWJQaFX7gtXJ/wv0xC7nKi+7IGulGoZKVZvUxA7I6AZCs6m+aC+lokNplUx9W4L9jjItcXd9EtrdzPe+Jm5dwSnOiDnaQy/3dqJ0fz45a9Y6+u3X1PbRVbeBQW2DtYHf74+NP/IuB/oHcWuFqlDNZfzQaD/7KNtGCpn5gT0d1NH3zV9JdaaQqCmbFQSTeq5zpLcZvW4eLQfKHVa5DJ/de82cX650X+ZLwmArXB/voz9QSBvc91mkQjtUjShjXB0ntHHqXuzVTETX+gbj/u0NcjZu9wY7+LXR5vNNAC3kXZsFLixA0E1KL7Qf1Pb9+8RovqkUtnSebxNVeUm1iW39z855Od/f56RcRuyVbx7/Tg25dSyjYQqK+DvT+fw4OkWLVrPxRhHoPOfe9QY/kxtuP720GceJLSlibvOXGNf3JpfTxfXkqIzCaHUmPLEsxMDlz+9XNxqdnrLHuic6PVicQ9E5g4ZwJtOVHdlJXue/sx1v7HXmQmm2bM+5OoavI5Pm241+t9ZUcZKAo2I6jzX7Q1O8b8jSwcbxosV/ys/bpIbvnZOrc9W5H2Bh6wtwEiO3owQ2N5sFR3MBTcdUWrQYNJK7WdxHVcHqjiB3/w+yv6KpbHyO5umqkmsL+Z/qjaV17HU85qxisDZUQ/Xyww4aA7Q40BkCOv1iVBk952+5/a5G+XiNeebP6wuXk8FEEpNBPBOCXh/mVrdZynXDIyrbVmFW8tKssp2CD7nF23tdsaMXGcxq7oFFX8yEIYFJdjC2B2Pi5cbAcfThRBd15sbwmpuWG8DoFRARsJwSqEh4H9/cAIv/utjosKsvIdPF3eUZfZOocKGjCdH/PwfzZOju2RN3MENIiIsm5xyXqc/ixWQ0GB2O6fUyT/XGwJdVmY8V/Jyf9clovWgs+/U4nJcl6PHQc5nOD4I9Jv88MRQ1hhK6+nk9Tj5FBdebD2rIAjg+Seq0vuL9+9d+qITnN6K4OhKqfzQGA5IyMP1rOqaqzjgi+d7a2u4s0kQ7BTP6XJrI1s34p0OkhkLs9XsBmDFa9ei7s7DSgPRAmBE3kgYjceUVMZDSoGJ4vXBr370rRtGOO6fPamyvpq4o6T8nZvbfPFGyc//lyYCPXEvjVmdLeg07VZQ4QkL9BogGt84SzVTP+cmHe9XN7XdcUiluD4ebXwu86hjsa9RGSwhrRfPw1PDE9f+9v5l0LFlRQCd9LtcVHtUVb5Jb06OmB3X2zV3j4nqFuQ1+jj95EEYNUcXGq2z5DgTRWCoDPS1O5zeCX2tcYvZssfOgrCgZ6osk2kYfssNKGAnUFF69exNrU/baKlPHled3VLeXQY6nr/kF/7ulTSppZHIuHfFdXRbiTUATgwCLP7ISjJ2846L6g4eZwT5TKK6ffVxNYg7p+eJYtUr/8EHdre8nrjxLuKHKwboV8ZUv+/jlmJJ1rY7MqWZ4u4qDfh4HTjL8R1DGvOTTw2GGU3U51mNhkUmbBKMdrmZ61yQJ3Hx6FS22TUlqN2qNGzV8/px/3MP3G9cL0qJr72MdaNe+b7TQ7n2P382Bfqsge5EuV0aDQtJdGYnuXk9fTzOyaeoAE5NvelE9Qjg5iT9Y7KAplJCngJy/3mpO7asGKB/6lPK77kF+4SQt9E1puu3ma25Row28nYNF7efxTLO+DEriFAnZ855by4sFhgPea0Jl63DxfUtjD4/NBGqBLYnnJ1fpYoAef/xC5/BqQceCHOUqa8/+AL6To/L9/7Zs/6dzWjgUJdRrBLR/d4dwLt3Tz6lNRoevxZu0swhZ2npUC6vPS9JVG9UF3dFehfgDOflxs6Wyt35sMxU+G61/Fkaver/h/vvEhOLyMCn3GrFAJ0zP3G9uEfIzB3FCjxWfqEuzYM1w/mCdVsmJ4zVfdqaMstuuih940ZfZ1z77t7JcbiT1HDxmJRQU9nVMfxRHdBVZ50INd7Dk1BVD2PPwP/Cnx+bbNxIF+Lpz+CGR68GP3fHDpWZb6eW1Q50Sl/v2wX0GvWKz8sUVAKc3Dze+dTFu6uPz4aLa+CyaKYhLu0AlCBYIHJja1h5Rpt6YogSApWRgv+L929Lgd7wRvfiiyrX2Y8DAeQR1g234jkJzHhmDf7hsLIMEUpfOavNsFCkYeo199IGuQmWcQo/5mk3rq/1jUZWdddvbgaL2wP0pkCLfjEsF8VQVO3eM34/s2lUhPK/9u/eJAbcyWz5E7W+I4tfv327zKZAdwo/xqrRkob3bAcO9IZ12OlC47t+mdy8g80dk7l4nJM3CnLtNTTeBG2oNUmnvBftAFwDFB4svuPjKoHKWAr0hjFuRCElzg1jj5TyDnYYcF1bthcYOSddW8P8WQSK5RD42tVFcdqo3NyRiT9a3Du5IfgABQRdZMJw4vj4rlXd1ccjiz5rkhlQ+24wjiMZVAWkL/1T3zqDJz59f/QI6PhttX7L+hTojejoFN3J1em6JND5LovVsIYgxWd7uLr1TJyc15Bbs4WNex3VMW7c/EcQE9yU1mxRSX0vc0Ec5LohtRDj41fe+JX779qWiu6zgfvpMdUflHBMBrKrxu1lBrEiujbEuQ0aYr72KZZ7LhZa98eAvoKjX0/DySOLv+NfpwjJjYNqhBUjrPivd3/Jl++XrnfgwQeceOgU6CG5GgX6vTvDHHOqR0ySWVcIxWcLPK23uwFAk18lLjctlptOMywLTY8MsxbXtYYSoa4Zx8ohvNqNtKsDcmOtr/qe+uTjezKPL3Ve+orS0UljGuWO3l05AuEdlIarR3p0zKoe39mt8c5I3jVBN7ZAIA1zVAG0Hz0G8kjPd4tMOCCnNMG63ywp7LbwsiK+3ZgqQLVF+Y/87FtwlimsnE8K9NkB/b7dofHzNVNgm+Gu3Nh1+2YVGln1P9PDvcSyrFFkTC3XZ566BrTTK8CeqjHtvMyI2ztsP8mYp7l5UJ0QIv+xD+0XV2fDzBbi3BUHdBLhxIDaVg5wRAayx/WNawAn1HKLrPLx/POENsKUvHUJqTFgIwtOmF1hiqhuNxWbh25yn9khxmkIozcT2hNc7s6uvkphuFj1v/TAPULbd1Kgzx7o5LBnrk/q6lFbJqPXxzf6OICstd5+Hq/06vrGtbQR/S+8IknPt3MQ3FcEHsqU/W994BAusVjoQgC40TFXJNAfeEB5/9NHyzdVff8m5nZHHNr1s7mWdfOCXJ1bF5lwzne/03q9CWFtMQaXKAgnyRJvNhgaayhKEuwa4M7CcGPvuRn5CuXrvv+lj781rAOfAn12QKfoznLNrLlOo1zURTfm9J7O6BbDbQ1wp4B8hnH5dXSKifsXIpBKiOvFXOYT9+9aWrCvSKDzBT1zdnxLkMkd8RTWx7m4fYF1/ezsnOJshS7ILfhp0GNteEa3uemsNS41p6rMCBV8htPGQe4Yd7Q1xtzME5DVavDSA3dnn6X4vhBAn/JyY7HuOnPM1TETYt3DRstOHLsToGL1Ws3dTCaa7sDq9mIzt6CRi9yuGbHuNMYR6GdHQsMp9XNu940Y3IzuHE9Qm8Kh3Z5ujWSz1YDcrC3tRmf4M+R1r5L7g48cxuWl4uwrFuik5dMX1EEZyCMqCBNDagDeABd3cFfrfzdgpL5NsLMKLEFsC1NEYrz1q1M3N0DXbZnNW6/h4s7NrBtOKH/kmwJfePgeUW0W0Fu9QBuRCiKo7SjiynhOsUMC2dU7o1bJTjdVS1e7+G3tOG2ldhJjwrHC3cICKvJImOCkoaKv7RjjlblnrxHob98GDJRCoEcdexyAJYm09UBeE6/ucO6ZRPUpXNy5aW0cvggCUb1Yqeb++P5DS1N5ZkUD/aHLqr2tUj2CQOg4KQ0g50XVlPhIENUtJ49EePOBFbn5J/V1uucYs24PDXSDdt6OIKfrzrPKuSPeR+caoLuSREX5E4V2fOeBO8TFZgCd+ejv6iliQ17Gk7aS1v2cPotJsLMeoxII/PN5D598rX3O+ej3GPdanpFoTmGQekqwlTCSJmuvqaeP1x0zLqonbDI1hjshqkFQeVFeGv6r++/p0zX/F/NY0UAnoZ64pHbLCXlU+mhx885ddZ1tmtwj4shuFJ0LcrNh8EWxfZIOwGGRSOMbd0FOQxtbK9FvriPhkkAe0+v1dCQgAl8WVfVS96OZh38/h575+tF/mKWk8nJKd9DFXFCN3EtXmHmkA0NzrBn39u3A4Q1AIQN0mQ04EZA22SVhUjUAt1zCBW8sdz8mENXq4zOA3AJeBSgLEfz1D92YfdztvNsIzeZ7zooHugb7+fLRCentZ3mmiOs61neK0C7wXZ0+MogbGdPuCVo6MIAkV6fOTrGc/nE3331gIvws53ZyiRn5eL4FN4eM9h36bpU/2p3DP/7+o+iaL9BXSs04bpwfe6YVL1+fW824mzcA9+0MSzjbY0q6KL9ISC2d4gqzalYcSUlFOsw5UXGOOpZ3u29MEf3ph1dqUHZlPn7/IhePXBVAf/ai6hsar94SIOjzfT+q8qIJ7oI8XmrKvDhZMeG09kU6ILcAJdDHJoBOtso1flUuWDaIoNjOcFe9gThuN/2ik0BudGR9fuCzN+R3/tuzqMwX6O9ZP44DrZUoqWK+XGAhrifQ5lsF9qZe4L5dxggXA5trFHPVjCkc322QOA3I46pKIyDXLra4lT76W0wIX/3z3z7nf8GNjFwIWrtjrgqg84EeOqUOeEIerARg9LM+XJA3zMUdbmzLQnEs6vEEOz+jCM9jhGZ0U7jCHd/q4dFn7gbjghzAaNUP2jIY+sxxPNGdx3+cT6w7y0jd2VnGtlwVucwSuG2dxZ3o1gqAaxWB8+Me/vD5VlTmWNedovu922vLpsSt3rMGecLca7DqehvqoDIyzrkXJkgGHsS1oOD97v03iOsLDXA7/qoBOuumf+7l8iFf+Psz/mSTBM1UY7p45E5LiHCLvjO/uL526uMU4914+SjU1UgBdnOxYr9h6jpKy87FfsZ5MRmnkPVHv3oej+YD/Op8gM5xC16AnYUKujNB2LDAPRJE2Uh/NFzIFTf5u7Ww669jFunIQu/kbrs15twuJxyHosvLgxmcoMg+j04tTGq5e8fkg+lpxXqomY9qHj/+bPbLuk0aLcNwdq2kKLg4baKb1hH/BVRReuIbLx/wP7tYobGrBugk7u9+VXVt2VQ9mlXBllLgC4KQAS/REeOskesnJtJbkFqQa+OdWeQU1xlQQ85OcV2nxtoF4Y7jNo9wQF7jszfKuvT84vkJnHr9Gn7yjh0yTVO1fnuz+cS7qd69HaDlXX+dsHklgjy2SYUXh2Mk6vfOFzWbobOc7OdJpag4dt1x9T3VQN/BzK+xMnBsO16QP1cV0Emhfzoxvu3KqH9suIy2gu9rMZuApS5NiZtGMzcnwQUzr48qxzi6ti0oQYDrclOmeGQ7XWpxS7t7nVmwduNw/e/k/KOcExdExg+GSvBeGcBdx7ZLP01TnT5NlUB/B4HeAMjrcfFGQD6d+F8P5JQOWLWIvdaZmz5FxzcbiPDE4Ljy/vNPHBIXFwTZsUFXHdD5fP/4aulGwL+R+jpb5bLiC8VuYpLBFZarkjvX1Jdz9HrXSm9pJo2rTeeZG47tprRaQxwZtV1g8SCbyEBHA6Ax6gnPV9dKKJy4hmPHdkgvBXoDQN8+fQOHiGEbpNUALoGTOwy+Rg2oJ6q7aolmEAS4kdCopkUNHV0JwIlMVCI0yr2y3//HxRDfVyXQSdvPvlg6KLK5A5WKbHXBzHc8OhFmNmlAOpbyCNCxKjXxXHYt8hspgddE7Z0c/7uVDvTPuP5uUmKzxkag51Tx8ynQG0tTpTHuHTTGOccUMXkOAHct6oniv7mfK6pzwx8thbnx5WpYZLTNdm2tA3JuUYHwAi9QZ1+5mvm4TWxaSM6+aoHOcsobCpWDVeHtrQahca7GCu/EqdsglwiUSUY6RyS35+uOq6z2GdPb6nHx0J3m+NGdxJuxop8/eT3l6I3ko8eBPqNvfBpvQGQpd5A9Exfn9wQ3k2pY6KJSDYN3mFwTL6BuN4/JMcPJsAS4EOrypiu537jHZDCmQJ8jBf7qWdVWUJVDlUx2t6pK3evMNYa5EW5xS7wVsW0Iq2twizYEA3QCnlxdV45N8NXX+NeZI+2kOFv9fbji519Pgd5Q4QkL9IZ84zOI6dZib5fYdFZ1+v/HSmHgFAFMqZCqG/926w/YsZJA7qoQnhBXN13O/McU6HMEuHvZX39rqKfakb9FieymQIUdmCx4axo+GCXNiuVW9I42h3h6qgV0EIbI6tTTWAmqyNVmpQEDcnuua6QbKfn5syMpR2+UoxPs7hF3/envpgF5BLg6rjPN6YMwuEdHRZp3y/RlApvcO6HQbDSlWpBPwtsFulBqoP9q7tdSoDcB6BziT78z0pdvKdwo/Ex/qSp1mGwc5G7G2RQruRu/HrPG2xdHqz7H1Du7UdpruLtRB7SV335vno/njVdToOv34raAMmCNu9cIchfoNSmlDsAdaXwSgNMko3AciuMENlN4tWs2CD02eb8W3BHXjq1RKyHERfXYtIz4rga2pEBvEsrNMP/1RbVOTmCvJ7CzImXYn9wYz2q4uBP+aj+PznW4uH1xLphtTLsVG6w0wE2EC8Dq7q5UYccZrvr5SylHnx3Qk8JYZ7Kox4J7xo21vEJOnQuNadqdqkIurjk568XFkBp3m0Vfm40qXF3hWVPOpUtVQAmlLh8fyP1GaoxrLtbxycdU51imsqcqvf0VAZ9vYArIE5JhXLeZ61aZoo87lng79Qjk/IBmfhNgw2s1+A3qxwj08VR0b5Sjv3Xr5OJwfeXTcXGK3RTFqWqxbJSOgzDGNNaZo9uUOnejPdvc5Wnn7QI8CeROTn/gQZw7cS3zn1KgNxnoHO73nr3Ylitv3FUJ5GFRhW932xqjW4KobnPUXc4cD4Dh3yxO6PrgXTC7kkH8c4ruV1KgN8TRCXKK7hGnjHFxgm60CowwsIlxZ17Y3IGSeImbuzmflnJ2VfFMzmN8w9CbRowdx7nzbET1COQcWIhiJhDffPWI/z9SP/oCAJ1DPvCiyvWOYmcpwNFKILNRhllcd7eZZ06cdxIX18w6prvTsh75142xLrLcu649oz6UCPRiytEb4egE+ltpjKOxTALsoEpuzYOGMgarEKAMliKnpt2En+cdUNdwY8N6a0CckI8+PciTDW56aOfCKA8+UEP5IPeJH7lVvLFAy7xm2FXrR5+ReEqJj30Lm3xf3lGtoj0QEPGElJoINyNiR8EvTpWZGpedm51mDG9W9I9LD3pIc36x6uevNQHofKFdmSpafUwm58eJYSZig6xt4krcqOXOO0pWsXqxNZqZhewms0RirG1hZKqy0h11fpzAzEScW9etc3IJGgE601Rv7w+LTpAb04/NJBkeTOTJZsgwzUNPk5ASidaOrq+vmiFO3bXYh8PPDPIat52uq6cGdgwtjsVdCxAzAmJVn6DEx76Gvopf3RtA7FAIu79E6aUxI1oEcqeNsiu+W9DqhWvOoZXd+lhda74Lcn5Ojj40T6DnvABv7yqhPy/hhz0ck49pMliTfNNTuJ/zQVx8ds+dEq2mRWoPL13z8XenW+ZcSuqOfuCuzSGguYIT+ilENevsfBrOOmsE5A0a3CxtonubDwIhxj0lv3zys/mv2mabCw2zNQ50HaIk/v130O4X0S+UPCYFvMjV5oKeOemWq8f6s9cA3F7jKOpRnbhYRlt0inGvjVTmJ7q/s2cCN7WXkVvGb5WL/mpR4OcebUd5jvnoFN3f4hjjXJ5qdeZ6AK/HxWeyqjeDi9t7C4hrGW/s4z96pNu0n1homK95jj5J4H/1ZyrbvhObvIy8JZDocss6a8t8TFSPOLlbUdUC2SA40RAXy2gzewcmqn5+bJ5AX0mlpH77mVa8NMdSUgT5FKu74zabLRdvCOQJXLxWaA/vWmNwc06IuDuTWSD++fSRxUlmsbRYxnv/wu9y8TuwMcTIO7CurCpb1IR3SAiIqqO7a/DbLq5OnLr+vF6HGOdz6qguF+f9w4QnnwkR8wa6Lg5ZkMtaHyOoGIDyfz7agWtlTwem6M3OirUNBMxYoFvwxLk4x2tEVI+L1InAdTLODJRDQMcWT2JNeftM5lw+mhDiajUz/gf/8lDXtcVc4SnQE6h99wMqs+fwxCaR828PPL9FVNkb0WS7WbDarDenB7r1jeuFGxPvuRDo3mH5d4v2chiRq/+ekMgX5fxEd5Z7fvf6IvpyC1fueT6Lk4Y20vHiuMAvfbd9zqWkCPS7jOjesKieZP2exnU2tTbcHAxuDrGU5ynIoJjNqT//sUO5lxa7kUMK9Dorl9z98kG0VtuwKwhwsBLITDUImaUVyWsi3WIBMK4l3u72+vwo8SWMnLFqQUkiX5kn0Dk5NnDY31pCb1bq1Mm6h8MO+esUDuh8EHc7uRyT30XXuwEEDrDs848r4LHLBVwc9XC1PPcGDhboM4HcNRS6zxAX1eMc2o4bD2NNMm/OJKrba4RAVSn5pOgq/M1P7BJ6v1/MIwX6DNS++yGV2X5lYqMqtOwPArlJUZwn4GfQxzWArVhaw8XDCKxy2Y9Azq/J0eU8gW4fJYsgGeRxUZIr2dgY9FdWWom1VNLTt62WrFU6qfWScaNZcVy3bLJiq8nxn6h40Vi8/VxF9zu31L64ZonqtvbcTG4zS7e428zdNCzIPeEFMpCXVC73R/8y7dSymPvbLO/1gPLu3nE6t7mzf3OAzE0SaA8UvHgYa10u7hSfgCTApQ61HJOh6K7VgjLyEvMT3Wd8KrMq7QK0fdDs4qzxfxvQuudy46rxcxvQ1/RaM3HiekwnCs2K7Xrzc8aZC9DfvBm4a1v4tPUAHq8AMyMXr6OLx7m9fa4p965TPlp4UEqqEVGp/P5P3NG2ZF1VU44+IzqcE5QS7/sScoUi9kLKfdUAeV2hKkEftz7zEMgh93bP43ov+BJj5OxhBF4eKdAbCoG1QJ8rF58iqs8H5DEpyR2bPdKVEKN5kfnYjx4Ri+ZKS1rSKdBnA3R77gPKe986ZP0+HDLdOjkAABvaSURBVKhC7kOAjIT0g8AAukZUnzS41YTAGuS3+cBw2aeRjq3E0ppxDVjdCfQ3G45uX0lkcnAU6Zm4uFtcMlQjAl0xJj7mdFx8yqZhLibIAyFGMyrzh//bLeL8XJZZM69JgT4fahrAi+7K4ZLn7VQKLAPnITARdiZVzQW43gOMEz78XOpUyCHpp0BvMB/dBXqSwS3JbTZFBLd2CGMnYFbb0HiA7T3hgnANbzMZ3OLnC4FABmpYqOonPnq09QLbYs9nmTXj2hTozaDiDyv/7p9GNnOmcqNU2d0VIMdcCmUAbxdCJM67EXI6uUoiCz9fTDl6w6I7OXpdLj4F1THgOs0jiiVG6gG9rUFYEsrl6HHpwBm3ZiNw1xCdaEK9ofzKX/zU4bYl64ceX9Yp0JsB9GgMJe5+CH7ldbDh445qgJYAKECEHJ6KuJsU496aOroPHLsjLfesJWpt+DPAileYIUd/E0V3xwA2Ixc3HFwHPAXA9TIwXgJ62wPknLJQkdhukNyIVd1ew1B+pfCcGMv+w0ffKkaaurTmOVgK9HkSMPlyJfAAxG392KhyOBZIdHgEeyX0w7s90kPhXYvzed9vDtDjZYujOcbdaw6H0m4wa1Q0ALIA037yamhxtz5zDUTX6m6LeBhrPU+kRd0CRRdTdEQbjlPjgnTu6br8dFac026Jf75pM3AH3WsOW4371ONMneMMV4Cr42FJqN72UMdKOhoR1ROEhnJVib8Znch87/+6S7Ar37I6UqAv8Ou46S/UxqzCYaXQrhTyFQ8Z6vDhba2WTqD7TQP6cDHsTjPliHEpyzXd/mq2E6jmqiYIyHJYl9tFm4AFu+uDN5sAz086z24WFsBRvIHdiGxcucPVLSQ53pGNwOGNtU+XaIF3Nghy70ujQHse6C0AfiZAb9SOc3KsKSA3iI5vCa5UT04OhReEKn3hJ2/tuLLAS2pOw6dAnxPZZnnRA8o7eBCZ7AAOBQLbhYeMFMhlFTxPSP0OJqTfNPfaPzwnMDgOZJzw3FnO2Fn59a+sWfz1IunqXD6dSFzvjlEAiimXPdMzxXui8Xqq4PzX3Qp89GYZNlswAzXCyd1nZs+GQIkR4Wf+ps3HK/cfEqZXy0wzW/zvU6AvJs2VEvg0vDsm0D1axB5VQWfVQw4SXWUPLYUmiO6jReDz3xd403aFbevn+HBuIYZYoQnN4KyY7XDgiOPaSDsrwjvRb8pICBFHN+J9Xc5v/dtO9F4kyts5OBw3KrFs5+Weo28SSvucP91o27uBe3aGUYQ2qUZTLK4S2I3A/PSER4PblWo1eE568rH//eaWN5aDZX26t50CfY5YaMplSokb/l9sEFUcLAl0tWbxnjvm2WTxu68LvHrZw737JPq75jjLmE6sweVGfjm+bgt8VxfXQHbE98RoOgM8CzAdIRfzoesxYnaBKPTUztEBc1QhJ7ZBRNh1bAqsFXfzJqoAMaE8ZseI4R4C6loA8YYS6qGPHsm9KJaB66yRt5wCvREqLcI5Hb+t1m9Zj1+fT3/0UgX47PMC/Z3ArdsV2tk+di7HGgA6DXIf2hOglQqTc8TFfbMfsYPSdShvIFDVxzqPFr5zvwgdKSvlSIG+hG9KKeU99RT89bfB/+XPYcMzl/Af5gP0l68IfPc0cM9ehS3dtSWWZvWYqxzolBxYb+7DB4JJv3m8bpwRMEJDm7gcqOpTg/71x37x5k1js6LlMjk5BfoCvgillP8c++8NIy/KOg21oKrI6qh2utmkNsi1KqD1pQGs/9h3cO+tcxTdx8vA514Q2nX01hsU1idYlBt+1FUOdNooD/YGONIf6urxBBgIagxiBAGuSE+8XGj1v/Fje8Vww/RbhiemQJ/nS1FKZb57Hl3tOfRUKuhQGbR6rDtXhcj6KFQlejM5dFWrWCcU1sFDW1JRzktjwC98Hbhlq8Rs+6NTj33mrMALl4B79yqtm3vzebOrHOhb2wO8Y1dYJdfV0JVCFZ64HATBCc8Tr/nIPv/jN4sVycHjy3o+y2GeEFlZlyulxOPX0NGmsCWookt5yARcFgp5L4deFWCz76OnWkGPyOguMLOi7XyAfnYIeOykwOYu4Og2hda56ub2laxioJODv21rgC2uoVJgXHk4GUh1SVXkaSlavvevj4l4XNPKWrCx2c5qMa7oJ53F5Anq58+gW2WwC1m0kTuzOqyvsF54OOB56IVCXoU9GppyzBXoF64D3zkldATaffsUeuYjsq9yoHsBsG99gKP9WuIhycaEwLMKwaCn8k8vhyyzpiymhEHWPNBpEHvlFbSN9WIrg6UIapGFJyQ2esAtEOgJFqFa7lyAfnUM+PZJoTuSvHmnws51TVomq5CjkzJ7u6Fu3RqUMgonAk8NQKqh14fyX1mM3mdNejNzHmbNAf3FF1XO34nechE7RBUdSiCjAnQKH3sRYMtigDrpbc0W6AT5k2cEro0Dt24FbuhVyDZLvlhlQGdADBNhbu2HyvpiojPnPZn18VQ1jzfuXL+yjWyNIn/VA/2hh1Rm435sURlsY7124aGggD7lYacI0MXuLI0SayHPI9B/7uvA0S0ShzdPf6eLI8Az5wSujgKH+hX2bwwTNZp2rCKgkyZv2w7cu9OftF0IVKBwxvdwvioxnBWMQMb5rMK5AxuWV9ZZs97psljkzXoYO86LZ9U6r4BdgcIGqVBAgK2ej61CaWBPVxu12VNpeLyBceB3Hwcy2UC7x+od56+HnHykCOzrUzjQD3TO1/gWv9kqATrzft/UD9y7y6+7EepKMAolCJxTCueFwnXlY0T4OPWZdTi/GJ1OG14k8zhx1QD9+4OKovguBbQFCr1CYJdS2ABVv9fgPOjW9EuZbfblU8DnTwb4yE1T5Qy60Ajyx88I3Zr5xo2huN5ZaPpUpqSFrrQQWJrZ9vUCN3QBb9rq60KcjR4izF0dUQFOBwrn/RzKsoxz5QCvHdssxhsdZ7mdt2KBTiPay1exBwCLNOayPrZWFXYKgHbnFfdcBNPZEeALrwUoe8ANGya5+mgZODMo8PwF6ASMWzcr7R7KN1Ncd1fmCuboFNfetEXobqv9Hd70te0bQ6MUCueVwmnhY1wIXMwAL+5dYbr9igLEi0rl5AB2ZwUOKYVWAWxRwDa1Qrh2vXVFSFcqAUoBMFgEnrkKlDwCWWku/vx5gSujQHc7dFbapvYF3spWKNCP9Ans7AIOb/DQEYthbwzTM5/lCQxIhdMZH2MSOOON4/sHtuDack9uWfZApzGt7xB2egIHPIH1CtiogO0QusPRyj8CoCQDsC+b7TFOd9mlIkA58dVBhTPXQxGlrx3o61iER15hQN/aJcCe6Qd6WfutKVy8ISILgSsSOJcFrlclXhkq4qW7ti2/6jJ8mGUL9OMDqhMejgbA9iBAnweweBDDR1fNoRscGJC7oZi2RNOEAq6VgKKTJ5Vc/CghXnsaKtUz9emxY6Wb+FGUguqkcMZLKdt5uTnhNc9kxtbVaszc3IYR+utYiqitfBON46TLcpxCBljXCmzpALZ3AHm3VvMirhLu0QJgSedzQmGoWsZTB/txTojpmtQv4gSXG9Cpd790Adu8DO7wc+gKAuwWwDqllu+GNJ/XxTribm/1qKSTs+D5K7m9Blys04rFpf7SnuNMKL4pTNkk3Gti6DeYmhzNqf8Wf+Zog7AAngVR3DJWieO6HzoPQPtEVwHoygNZt3TrLO69IKcKlITAa4HEgO/jXKYbj+0Si99rLf5sy4Kjnz2rWooteDcEbvA8dAQKG0UTw0sX5IXOc9CKDKLiijWAdYFa05M7mWvXcDvDfacA2tkgpuXmlqsmiA0uJ6736BE3nydtGrl8XQHoyHvzS95p5EZzP0cJgTGlcMn3cD0j8OltXWJRWyW7U19SoF9Wqv36NfwvwkePkNgEgbblEsAy9/c785VSBVEp4zg3jMTkhGEiUdd+F8uhThTr3Z7sWiwIL7bnzgh8e3LC4I1WXjDaQHjjJrQy6MhCx/T7YlmGREx5cwKoesBZKTCe9/ClrZ04sdjGuyUB+vevqP62LD4MoEsG2I6wdfiaOAILcvO0VtedImYnicqOkczBekS3KZuEo9PWw9gUPdoBoovJpMorUzaLOgaEmnvME+iMAOwpeLoI/ko7BPdXgYtK4prI4oknOvHEYlWqWVSgHx9QW30f7/MCbAg8bPEBP5hlOudKe7nufJWT/RwZpFwEOjpzEmYizuggbApQEwhUw3kd5buG0zrXJY5Zg/qQMdfB9WS/dFd0qPPirLhfbyz3sowAulsYCeitaKON8LQNdggCl/IeHt/SiccXmsMvONA/pZR/+xg2iAAf9AQ2IkA/mEiyjC3+C7KZmP7A9cCVhAm9+KmnOyiYwvmdyUbn1Sm9nCSux3V8q0rEGW/d+8YlgISSTC4966oM5ovpAE/f+PpFdJ8tyDpwBhUKgRIYFArnfIFnN3fgcRb7XwjQLxjQCfD9l1DoyeN+IbBPCXRBaNvJgt1zoV/MXMYXDt+r4YIOZ00Sw/lZXAe2wK+VEmpnFbUyctXhOuiqkSocVSJJjZjy7Laiah1JIK5PuJtVEvCn2wB5flsWWF/w4GeWabLCXBaHpTlFPQ9FJXE5m8VX+1vxPdHk4pPNB51SbB3pXRjDvwgk9rMOnwiDW5p/r3kQdzEuZdi0LukUM4C5QKrRqxsAf1xkrtd+KWK0DqecIvpbIkwjAcQk9inyupUA4pvPjOJ/kiQS2zTsGHSP08renvWwQuxvc1teoW7HOKlnMh7+aWM7rjbLF99U8H3qU8p/y3uxxxO4LwAOiNDI1tR7zI2Ci39Vvb5eU7hZgm/cSOxRAIm+ZhrxfQr47QCxx54ijseaIOjTE4xlCftPso4eF9vNnONGwhqJIXa/+AaluTnbKLUua1daUxeYAspCYER6eLLYgi/s0X/Pr/VyU0DI0ksnrqGjPYf3egK3BQrtIqy9tyYPnzWLYofmpo1YnCymYxb2aTlrcqniKcayRri/C+qa+TawASQa6Orp3gmif2w/05sOa9Ova/FAQ9waO0hOpjwcrwJf72/HK/Ph7vMmH6ugDozjaDXAezwP/Qx0WaoqLcthIWS8WjdCojcpAZj1ROAkCWBa0d9BS9K+kmRki84zXyaeE+POcSnDBelM49WcmyDj2w0jnwmj39qyK8NfvkDrL1AKZaXwrXw7vtoDjMwF8HMGOrk4gNzVcdynBN7FaqgN9r5bIHos/bBeDOQzzUgDKobG6M861uspIKyjX8/W8FcjMUyjTrgAt9w/6Tlm2qDiWoK70VkadOaB7pw32WRhJoKu0u89D4qlqBVwOgjwlb42sBVUo/FKmipzAjobE1wpYZcA7hMBbvLWorsstqhoXafhLc57pli2E1l87WA1p7g9z+qI/klDahAm6L/uRjKT3m9npa9JCNapx/mT9OwkVWa6MWll78p5yKxZBXDqrsVXIATGZRmf3dCBR4UQust1I8esgU6QD47gzV4W7w0A1h1dgTFKjZCm8XO04S0B5NONEMdsPf3ZjlEPPDWSb2zQJCDGwVVjKJuyK8UaHCQ8UL0NpYajx7uaJkgy7kcsrtGT91BYM/GSja81veUqVAIPnxvJ49uNJszMCuhKqZbhEt4eAB8UCtm1rIvz1ehe2yYTcVaENO+1HnN3QT+T/S7JwGfF4Pi1U+4Xyzt3l1uNOD5NTH09VaLuvR3jnDZQxkBPOrZkGQG3pvXyGZHPTs8KeDIr8cUvfhFX7r9/elG+4fWplGodL+HuKvBBpeDPTeifcf4r5gTrPmuYgHN8skRLdh0dui5QzRcRw3ZQWFeTUEBcLqwH/pk2FNc4V+9cG0vPGHZa2df6+mpkuejYeeDlPPD5fB6vT6e3N7ROlVL5kRLepYD3r/b00cYI7HThbOSCuZwzTShpjeHMke1n4v5G1Z6cTZxTzyT61zPSxUT+BA1A3zNRp3c+ZM/yzrzXvPr0c6H7CruGQpkSOOspfKYjr7PiEo10MwKdIJ+o4jYl8KNBsHZ94/b962i3JVoMU/T6BGTX6NwxFj/dRhC3AdSAdRoJIDovQTRwJQA3+60eV2fFmPbCyk5YWYqloQIo38eFIMCn2nN4OSm4ZlqgU1wvVXGXVPhBrOEAGJcFLhXI6y2gGtA0KAVotTjBij5F9Hf05+nuMyc9PTZXVozpoL98uRF4KZA7t3uyDtPVisT/15XHqbivvS7QGQgzXsEtnoefmtt9V9tVjQjGS/zMzhTrceREMMemnbQJTGHYjlFN7wczcf1pfPNchMwxX04VoZb4Tc759kLghREPf7lB1HacqQv0MaX6UcFHPA9H53zXVXNhuIpn1HOW8Hnjvnd3KhEGY+CMT7ceZ3YYe3RJkruvIWt/gqVf6+aplb0pq0cFqGay+PMsdFBNZE9NXLtKqVxJ4t0APtSUu6/YQVYAF2+AtnPxwXPYxEAc58NGXGjRJlGH49Nn3ppdvBLNDZBrpZ9CP/swJP4s74jwU4BOkb0CHA4k/s1Kf+L5zX91gDyJBtNFrtXjyonAj+n5jQI/EvU9oMX3kM0sb2lpfutoSa5mUcJnx7P4m3VCXJ8ijZr49c2VAL+AsLXRGj6mqW+8gqky0/ZVVyS3YfnTWPotWfQpMXHAvYxfMc4o4wOFtZ2wspArSXoevvCth/FP99wjqjUcnZFvEvgAArxzTYe2xgo4LuTbWE5jJ20CM4n9cf3fPs90UXg8h3kBhczayTFfivesgImMh98FcCkCOpsnANgrgX+LQGeirdFjJp63Sskyjbtt2g3AYePueUlVY13w5zJrMsd8sRdPID08nAP+wQU6W/f9SADcuoQxIYtNiJr7uVVal3Qiy+Hm0xjdakR0Z67TcX8X+CwNlaMVLj0WgwITnoffcoG+A8AvBEBuMe6+3O6hkljQcpvkMptPUsZdXBePpmy+IL5144UU54vyNj2gAuARDXRa2gHdUOG+taabh1bmNSquz2Gp1U2C0QupNq01TtUw2y91pc2B7PO+xAK9AOBXAaxf5nEh837g+ABBCvJ50XS67LckoAvfS5n5vCg+t4st0LsB/NZaao0U6Zkp0Oe2chKumg70PF2INMy1acSe5UDC+M73AvjZNHFlltRr0ulTFIeGNYmGT2zSTOczTAry+VBvvtcS6NTP32f+rfmyUPMl6Fq6vp4PPaRB7SbkpRkrS7o0CHT6zH8awP61pp8vKeXTm6cUWEQKEOg0xP0awkKPyzlBaxHJkt4qpcDqogCB3gLgY+x8s7oeLX2alAIpBSwFLEf/FQAbUo6eLoyUAquTAgQ6I+E+CuDIWu+0sjpfcfpUKQUAAp2W9rcBuH+tRcWlCyClwFqhgPWjM879F1M/+lp57elzrjUK2Mg4Zq79DpsmrjUCpM+bUmAtUMACnb50VpXZlhrk1sJrT59xrVHAAp2JRW8C8GOp+L7WlkD6vKucAkxBkG4+eh8AutkYQJMeKQVSCqwOCpQA/LULdAbOfABY4/XiVsfLTZ8ipYClwCiAB+LFIRk080smSi4Nh00XS0qBlU0BNnD4JIDvxoHO1vO3AfhfU119Zb/hdPZrngLUzVnT/TeEEGNJDRyY3EILPKvNpEdKgZQCK5MCRQB/CuAVdldNAjo/2wTgl4G1XPZ5Zb7ddNYpBWhlB/AYWOZZCOroyWmppsb7rUaET63w6dpJKbByKECR/TyAPxFCDNppT9c2uQfAe0wcPKvQpEdKgZQCy58ClwF8Qghx1Z3qtJZ1pdRmAD9sqs+kZaaW/0tOZ7i2KTAC4ONCCIK95pjRhaaU2g7gXwBg4ktadn9tL6T06ZcvBaiL05X2rBBsYTl7oHMzIGdneCxBn4rxy/dlpzNbmxR4A8D/APCyEKKcRIIZObq9SCnF4pHvN5ydUXTpkVIgpcDSU+AsgL8D8FoSJ7fTaxjovEAptdWEyB4G0Ln0z5jOIKXAmqUAxXPq4n8hhDg3ExVmBXQDdnZ1YUWauwDQMj/rMWaaVPp9SoGUAtNSgMEwFwE8KIR4sRFazQmkps7cmwHcC6A3LUHVCKnTc1IKNIUCDGt9GcA/CyFONzrinIAe09sJ+H1pyGyjJE/PSykwJwow2o36+DeMZX1sNqPMC+iOKM/AmrekIbOzIX16bkqBhinAaDeC/IsAnmHsesNXmhPnDXQD9hsA3A7gUFoffravID0/pcC0FJgAcArAIwCeE0KwkMSsj6YA3YC9FQDj4/lvFwD+nR4pBVIKzI0C5Nq0qn8PwNNCiNfnNkx4VdOAbiehlNpiOPvbjd6eRtPN5w2l165FCgwwvRTAC4aLV+ZLhKYD3XB3jktRvh/AnaaB43znml6fUmC1U4BRbScAPA7gJSEELexNORYE6A53Z7jsHQCow7NyDVNeF/SeTaFKOkhKgcWlAEs+MbX0KQDHhRAnm337RQGdUoqBNQQ6Y+XZ4y0FfLPfZDreSqQAXWb0hT8P4JwQgj8X5FgUoDscnsUnaZlnJhyBz84wizqHBaFiOmhKgdlRgBz8DF1lBLoQgvr4gh5LAjKlFOvSHTCuuLtTC/2CvuN08OVDAQKc4GZkG0NYp01Eaea0lwToDodnzzdyeAKfEXZsIrGkc2omcdOxUgoYCtBq/jCASwCof78xl6CX+VBzWYBKKcXeb0yDZeVZ+uBpsU/dcvN5s+m1S00BW275IQDDAF5sphV9tg+3LIDucHiCeyOAPYbLp6652b7R9PylpgBdZAxyYTQbAf7CXKPZmvkgywro7oMZLs+y08x7vxnALQA6mvnw6VgpBZpEAXLvVwF8GwCDXViYcXixxfPpnmXZAj3G5btM7jt1eQKeLjqK++mRUmApKcBEkycAMDyVwS1XhRDzjmJbiAda9kCPcXkG4LDwBf8R/HTRsdoN3XTpkVJgMSjAai6P0qBmRPNrACaWE/dOIsKKAnoC6BmIQ8AT6McMt29bjLed3mNNUYB+bnY+oVg+bn4ue3C7b2jFAj0Gej4HQU9OT65Pyz1DbxmgQwOf/bcqnndNQWxxHpY6Nv+xDhv/sXQyo9To86bvm/XSB+pVWF2cKc7vLqty4Sul2BWWabJsOsGfrHF3o9kI+BmBz2dflc8/vyWxJq62wLbgZg02JpN81+jbBHtRCMFc8FVxrPqFrpRuJMny1BTvCXJyfer2NznFLXmO5fqr4sWmD1FDAQtoC3AazGglf5ZJJIZr8zOCmxx81R2rHujxN2YaSDKpxgKfOj1FfYKfPy1NUnF/5S53K4LbkkvUq8mtXzLRafye/u7ScrWSN5v0aw7oCcAnDSjqE/zU78n1aeBj0A7Dct0+8TyX3695ujV7Ic5xvDin5jD87DlTeokWcQJai+L8XQjBjLE1d6QLNuGVG3GfHJ0bgKURAU7wv8u0qLJXWvDbDSDV/ZsHI8uR+ZMA5T+3rxh16KcNqKMWwea8ynJ3eTWPTDOPlAJ9ZhpFZxixn+B34/DJ/Q+a6D1W1KEqkHL9WdB1mlMtJ7a1zJ8EcMEBu90Aqimopyf4/w/CyY3Dx4/ShAAAAABJRU5ErkJggg==",g=e(4977),H="data:image/png;base64,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",f="data:image/png;base64,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",$="data:image/png;base64,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",h="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADgAAAAwCAYAAABE1blzAAAIeUlEQVRoQ72aa2wU1xXHf2dm1jYEBClJGgofIFJLU0W04AdQWgJSW0UprZRIpB/aJBTxStIShWchJvbytA2lBCKKeajhQ5s2tGpFK1G1UowqKNjYBkraJCqqiCDEDZSncezdmTnVnd2FxaztmfWaa632w9459/7v75xzz71j4R61ssM6TkrYqMon3qesPjFNLt6LoWWgB5n1ttr/GcMCLKrE5qFgPJf3gRXN5XJgoMcfUIFlR/QxiqgVhyfVA/MxTWKgPuZvL51UtUyTjwdK6IAI/NLbWlQylhctWC0xPuN35Zi+gFUMfpIzoqxsLpffDoTIggssb9KvqLBJYnxD3dvUepq8OIAPquxzfCobJ8v5QgotmMAxDVoyYjAvi81KcRiWk1qPKm/RPIvHqy2T5FeFElkQgeVNWq42m8TmcU0G8ZVXC2ia5vOW47Lq2BQ5m5ehrIf6JbC0WQdbsMSH5ZbNED/R3+mYDHSL5kcqVLZOZB8imq/lvAWWHdWpOGySIqYEwvKk1mtsmtl5/M72WNk4Wf6dj8jIAqce1qGJEparsgSHQVoIar3M3GRadWnDp+rb5eyJi0RaykgCy47q9DS1srDUvLRzme+YFXhg5CY2YD4uf/RdVrROkffCGgk13vQTOrzdZZUKi8SmOCy1pMLUYfCDkfD7T+Cvl1PTckKNereENM1L6rFmaAc/PzRD3L6E9jlUabN+Swj2tfFB6o8Q7h0e/GQMPDcy9djBS7DjPJzthOJ+0lSPvzguyxonyz96E9mjwIpGHeGZ+lFYiEXMpP+ozQhcPgZmj7z95MUE1H8Ef7gIhnCszyXOPWqa5lWUDVcvsu3Mk5KrXsodEhUtOtNT6qwYj0allj2dXAIzvx+5CtvOwT9vQpEFVtTVMzuK8QJT1yY55HssbZ0sLd3N3LF+k47pZ70YcZS5WNj5UAsr0PS74cG+C/DLNrjppYTm0wKaSW7gUxvz2HL0q/Jpxs4tgeVN+rRvUWPF+Hx/qEURmOl7uh1ePweN11Iua+XjtsYLUjSP+BZLW0vlmLEvk07paK+LNWoxWwQxBXKhWm8u2n2MpA+/+S/suQDXvfxc1ti0ioIC/ybK5o5BbJbSJj1pD+HLXnu0DBlmEaIIzNjbfi6VhErydNeAmgX2MPCu8ZxMaNJptlBjSi6zv+VbKOcSHFVgwxXY/CFc6AI7Hzc14kzBni7xPJtFgZnxp/S+WJLFAsvEYWiko04vKMMKbOtK7Y9/+h/4mmchkFWkWz6VxyvkzYBm9vzKjmsFFnX9PfZkbPYl0BSVBy7CzvNwvqsfm3/WMct1WXUy65h1lyNMb9CS9iEsUouVls3w/tDsTeCZDjDxduhqKqHk5ZJpaprgQ/VZleug3KOnl/1dJ6QvjL4Z5uohbAx2+fBWG/ziY7icTFHLp4W96ug1lM3l0eCxvIhQicWIqBu/IbhyLDz7cErCiRup6qX5ej/2u4iXVaFyVdlxfUyFN0UojbJPGlozH4B5o+DAJfh1GxjR+VYs2deNFrx2vELa+qIfSqAxUtqkW61iXvY7+zJ55+/mFGHcsN0FJ8+a89Y1RoL3xWVF85TwF8ahBZY16RtSzEtRBRq5RmTogbqtn6GGh+vDThHiLWVyadYstffvl/Q1cu8LHnrc/giMxjzdOxNrCU6rsry1Qv5sflkQ1x8qjN5VJWvD2C2cQGMpwmG4t8lJUUAtobDds1l3coJcnVulox2LdU4xzyc62berWmbfG4GSKo80SVKK0gfjfIWaGDXFcoJW32dZ6yR5x4hYuEafUaixbcYaX3cT7NlVLfMGXGAmq4nPHlz2YvMjbJ41k4iSbYOSylBz6VThZ+2dbPzga3Jj4Todhcd6FZ4XAd8DJwZucqAF3q4gPgCWZ78GK2/S76nFBonxSKhzZfoc5ydpxGNpy2Q5HFCr0mew2WjZPOJmXZcMuMDgFZiPi1Dv3SRuXmTOqdWhRV28ZHkc3hGXw+VN+rAK67GYjWD1VCAYd/Q9borHZrWpaymTjoWv6igtZh0E59OAWnYbMIGljbrDGc4L3g3eRQNqB83A89bo4zb81HYodV06VKkb+S4b4/slMbFRn7JsaiTGF7JpZu5S/ARH8FjSMkUaja35cZ1lCTUBNXPwzhHLRmAywd7dcZlb2Bhs1C3EGNTlsOr0eLkyZ7kOdYawyoJXRCj2PDArbjvguRxVl1d2rZXGCa36oO2zBmWexLCD+ExwHai91M6WszOkc06Vfi5msc4QNzmrO7VsIbEiSCTYubtaXiiowNJmfcBssumVniGw2XaY6Jl3gN1W2oj0fTrUY9PIf7HB0Cxv0ifUZhF+SlxzuZy4i1ofV5NOyu5ltXiqvlL+VlCBGWNzV+vX7RgHnRj3JXPeRKZ6ZtP0fBbviacugTItoOakY60PasalLTuIx3dIsrh+rZwKIy6YR9iOmX7z6zUmbTwhQq1l82gugtk20zRvqrKJDrZeKaX9/vd42oIay7kzQ+aaS/C8x3WEtZc9tu2PS6TXPZEFZibx4w36YMKl2lRPIti9xY2haQh4LmcQbqBMSBPpcX2zPKDB91m8Oy4no8LIi2D3QRZW6Uxs6sLQtMzhNkfq724zTf2aKutH+rwej0gt217eBLONLKzWh8z/wWgImr1RCKgZ0h4N4rJk59pUIupPK4jAzAQWxPU7QJ3t8MW+YjMXNfW55ivriy+xbfv23C9ToootqEAzeEDTplqV+X3FZibbWqlE0iCwZOdr/adWcBfNtarzqvS7tkWt1QtNE2uGGrAhNpzXty8qDLV7IjBDUy3ioszHwspk2lux5tOgHkt3xaU1quuF7V9wF+2Rpk0dwjhTXypcQ9lYdD9bB4LaPSPYPdOqsAcYh8336yulOSyF/vT7P83Gv9qVBJysAAAAAElFTkSuQmCC",z="data:image/png;base64,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",ae="data:image/png;base64,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",ve="data:image/png;base64,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",ie="data:image/jpeg;base64,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",et="data:image/png;base64,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",Se="data:image/png;base64,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",pe="data:image/png;base64,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",Ge="data:image/png;base64,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",L=e(53114),S="data:image/png;base64,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",m="data:image/png;base64,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",z="data:image/png;base64,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",y="data:image/png;base64,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",C="data:image/png;base64,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",q="data:image/png;base64,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",b="data:image/png;base64,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",x="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAE81JREFUeF7tW3l4Tef2fveJzIkxNQc1RFsxUxJjlWpTdHDRW7RoqXtVq6jqRAe0eltUdTL0VutWqWiVVqmKRJCoeSa0SCOEREhExrN/z7e+YX97n5NEm/v87j9O9Tknezp7r/d713rXcIyrh5aahmEAhgHDcPF39h/bBvan3Ed/iO3Od36cCcA0DLjoTMB0iWuYdCrtK+/lcrOriPPZFfk/wDTVO9timvRtfDt95Oex7fS/PJdtN90wTTftd7N3dqjbBLtj0y2vJY6R54t3dl2Dvoafx6/PPsvvdfPn1o7n98Oux+9R7mNPT9u0exVPZz0fkO6Ce4th+EypH/P6H8aVg58TQBwIlwWIBIlthh0k2kLHs3/8HHYrHA8Dbm8gSauXA5IhDELGFg8kYeWGl2BYILHt3Ihym/MzM6g0mN2YhgCIX7eEjC+NqBud3RcHiO/Xj5GLp2yQ+LllgkRgckO5YGYZhqu1kc0AIoOzVc4YxA3O7Vg+k+h4yTTt/f8HJGlMAacGEl+9YsVKxonVb9vHmKSxBnDDdDNWSHZaYMjjOHvsICmWewPvLzCJbAr3ciP7wGfCxTFD25lkA4lcH6cJZ5Rwf5JdDjBt7k5zb8rJ/deYZDGDll+ZTLLcnc42cneKfdyFlcokcsF8pXtjkw18J1jaQhGrR3OD0mdY7twFpBvZ+z8zKW6QwThAuruzgyTcnReQeMyyM65skDjIZb10d0cRhLky/mQSC3JdnkwRD+mIS+o4DQBpUAaSsLq4vgBJAVI2k2wuzyMmWWxU8VPcm5vcswU6YzAZht0js+flfUuUSOBk8MYkTTBIN/Y/AMmKP0JEqJjEH4obmzPKHpPkitcM4WQJVxAKJO7iKgCSuDePWKW5O5tY8Coc3DCy9yw2KborteZQaComWSBJhWe5OytmeVOBFXZ3pLisF606r0xiIAmFJeWfUnU6qyQbrICv1BVTnM6YpFSbPfZ4i0k3zCSlNLVY6QGSIQDiUb4MkLgEt0lvdooA1qbyYOD3PfGoXq8xqtVpRGb0kOBlxKQrGakIqVoTPn7+Nu/H1JYEiciv1LhJC5/jxZhkyW4ptVVQt0lvdqSUyzLuSAY5QCImFSuF5VR3EpTT+7fBLygEtRpHChkuVZkX1ecQDtL92t2dCSNr90JNZnsBScQkCwSe5Vgy20BxUT58/QOFAgRWvPQoWvV9BHf0fIiOO7BhOWo1bYmaTVvSIqAreIBkwHQX49s3RqNGeFP0ePJl+p69675QQPGbF1iI95CqtyAiuq8GklyRpTHJEhIcLwmSXT4LjU+GzruahR1fz0NElxjUbd5WrAWe//A8iedTe9d/icy0U+g16hWVmzmlv1wsNiXoRTzIhWZk7frE5OzgSarQzCoptRJVXURYIBXn5yFuyQzUaBiBDg8+QZZf+fKjaNl3CAHkLi5C0soFOLNvG1r3fQSRvQfBdPl4JLPsWU8lbcSO5R+g97gZqNO8DRni+xlj6f1Kxh8IrFwNfgHBCqRr2RcR1rA57vnnDNrGXB+3niPWCMZ5T2JlUlu6uysqzMeeH5Yi9WAS7ugxABHR9yE7/Qzyc69YCbMbuHoxDUcT16FFjwcRVDXMdh8BIVUQWqOuTb7bwBIgEdjaMxiZv36kAJLqTa5uqeiUQqNM1HJ3hfnXsHXpbFzLvIBeY19H5Zr1iDErXx7KAerxoHCLLqTsWI+dsZ+i3m1t0e3xF+ATEGRjkukuwfczx8I3IBj3T3nf5t7MkmIse+5BRD/6LJp07gPp7tbMHoe6t7VD+wGjLPdnA0lWADgIunDQ8xZdWTmlszyHGTMleQMObFxBCy3j96NIP7Hfdp9l/dEgsjMie/3Ne5Jrk/iCkZKdmTs/MnkJh5HGx8YkJr9tICkJbuDyH78hacUHKC7Mx11PvIqqdRoq9n3zyjC0vIcx6AECNPPsCfz63RJcOX8WPpV8ERpWGz1HT0NAaDUF0qldcdi+bC56jHoRDVpHIz83G4bLBf/gKijKz8PXUwajy/CJaNyxF2dLYQG+mjII3YdPRnjbbnDp7s8WbK1k1iMm6ccpI3kyieKd2H/+1EGENWgGl8tH5UFH47/H6X1bcfcT0+AbEMSZ4y5B9sU0VL6lnmdlwiHDvbk7ySTjUvICkxmCM8MOkinEgw4S+3z10jn8/OHLCAtvhqgh4xFQubqWPwHx/34bjTv0QFDVW3A88Qec3b8dDdtEo22/kSgpzMemj6chuFoY+k54l7tS043v3x5HboG5N/a18YtnIi8nC/dNnIO8yxcRO30kuo+cioZtuxJAl84cx/r3JmHgq4sQXKM2zx6EutPlOK/BySBNn2QNSavZ6cJCFw7iPHcJiq7nEbu5Ma263eVzvyH+i3fQ5t6hCG8ZRexmrvT03gQcjItFl8HjUbVOo1JBKism0fMwgJxFUGdMcjKJgZR2bDfq3tYeLlclCxwAhXk5SD2UjJPJP5OfDmvUHG1ihqJm4xaiUuFCzqV0FBVcR436Tciwv+3eguQVH2DA1AXwD62Gc8f2YOvn7yBm0nuo0SAC2emnsfatp9H+wVG4o9fDBNCx+O9x4KflGDLzK17f4hkQuTFV75KCgkBiRhX1VXa0kH5WEC8dpH0/fonzJ/aj27DnVWwxzRIUXLuK+KWzEVztFkQNHsfzXLeb7sFdUoIdqxYgNysD3YZNhn9gyJ8AyUq+jYtJH/BElWSzZJKMM5Zw8AYSA5bdyJX0szifsh/pJ/YiK+13+AUEoVG7bmjSqTeq1m7Iry0qDaogK5W9aeLrV4bCXVwMH18/FObl0vERXWPQadA/iNkZvx/GhnkvoHZEK/R5ehbtT1gyC2f2b1duv/vwSWjUvqeDSbIUbpVlZHmcmOQBklVt1iV47uUMbFs2h+6t+7BJqFwzHHlXM5H4nznIyTxPwoHZIT/3Kgqu56DwWg6Bx0REUUE+ajdthY4DRnnW7/RKh5uDwpNjETvZ02fsmG+T2arUo8SABMkAc3ls/5l9CRSDGENY3uIuLlGGYiAzZeVTyY9vc1R0ajZtgcheg7hiFCAdT/yRFkdIWG2c2ZuIc0d3YcBLn8A3MJjYcPbgDsQvngXDxwdD3lpOfv7S6eMU/3IunkPSig/xwAsLKA4ykhRczy2VSbLtwD2dKMGQYWRh1ap2+wYEqNhTmJ+HxKXvICczHX3HvYXcrIuIX/o2/INC4R8cAj/2HhQCv8BQ+LG/A4IRGBSKa9mXcHBzLDr0H0lA8djvWYhV7RFbackN48L29xVAuqS2amuWBJcxac93iwiYanVvxbXLl8gFNYu+l8cxDRH9MwPk9O54VA9viq7DJ1GbglcdOIgkJs79jp/mTkL3x55HeOsuqlZ38KevcCxhHfxDKqNNv8fQkO0TryO/rMbhzasxeMYyUdMClk7or/b/1Q9sMQx6Yxl3jcJoDPj04/vQgMUa06QUoij/OipRDmhSnHJV8oHhqoSS4iKUFBXCzy8QKUkb0KBVNHz9g1RfygmSXhOUi4hKVhe2zVMxyCqUakVT0e+ReRI13QST2PGHN8ci9cB2xEyap/WSHFUHcU7cojfgH1wZXYdNFOBYIBUXXsdP709BrWat0eHhMaTu5HdtWfQmXD4+qNn4DqQd2U1CQr42vv8CAqvWQLfHp/AUzm1S/BPhRisR8Rgj45PINmQ30MYgvtGFRu26qz6St/bDhRMHkPjVHMQ8+y4CQqtg9YzRaNHrYTTr1Acnd/6CY4nraJ8u1e25mJNJPHGWDT92G0ZG4jzTFKm9N0nNmcRZJBmmg3RkcyxObPsBgZWrl7pYhTPD9dxs1G9xJ7oMncg9HDHIRUbYvHgGCq5dQaeBY5Fx5jgyTh1GJT9/dHlsMlZPH4EWvf+GW9t1w6ppI9BtxBRakczFrps9HtFDJyj5LUESXsurcOCrVe/KCnfnVThIN2gSW+L/PQttYoajWr3GOLt/G35dvRAPTf0YLl9/xL45Ci3uZgDdg1M7N+HY1nW4b8J7VrVBk+uqQ+voO+k1QWrwZWydSwxys8WstRs83Z13kI7ErcaZPfHo+PBTltGlILC1H4B967+iZLbL0OeUrGcn7fzmY5xM3sQBc7lQve6tVJmof0dHVKlZD9/OGIP+L36IKrUbYNfqhUg9kIQHXv4EcYveBKsmDHjxIxguH2uBmFB5kYCCr2IeAKx63Q2BZAmM03sSsDP2E9w/aS4Cq9RAyo4NOPTzSjz00kKKKwygyN4DCSD2PMcS1yJmwhwVc6yurL32p/eQ1GcmGsjFJcxR7Qa35rrKc3c0b2AYYAxKPbANPZ54lcttEfkt5lk9oh0r5iOoShi6DJ2gzTeAMvKcjHOo0bAZqtdrApevH7k41pU98OMynEzeiIFvfkkAFBfkYc3MfxBw51MOoufoVxDesrMnex0gyTxJRGkNLOFSVLtZ693YhIMbcYvfIJR7jHqJjL73h6W4kHIQfce/Q/MNq14fSaWsiM73ICV5I45tXYv7n5trU283CpJkknEh4T1ikFj+SqndiLtjIDEGnUj84YZjcYNWUYh+9DlbR1YvvPLKt4Hi67nwCwxG7BtPolbTSHQdNkkNoRzdsga7v12MsEYRlMiW+iqHSXZG6Y0/wTStO3stKwNr/zUeHR8ag1vbdyejb/r4VYSG1UHHgWNptce+NoIAah51H1KSf8LRhLXoN3EuWC0v47cjqNUkkocKW+fXy4yDVmkwzse/K/IgORjC3Z3L2V4QUz9cHcu5BRcOx39LIqH3uFlwUR7FpbjlIq3cKmHpbASEVkWXv0sGCZ0tqhi5meeJFWcP7MClsycQ/cgz2LrsPdz//HxUrRVO7Ew/uR/xS2ahuKiQjNJuwAiVvHoFygGSapIpdyfltc4kregqQDq4aSWOxq/BAy99gkp+AbhyPhUbFryIdv0ex60d7qKvjp3+OFr2GYyIzvcSg44mrEG/SfOQn3MZ6+dPRa8x0xBSrZaKSXqJp7Q+knFuy79M1u6WBqWl7RI5TxkxSbqwI/Hf4cy+RNw56J8cHAdAVhvcwL4fv0BIWB1E//1ZNSnEam6siJqZmoKC3KuoXLMu6jZvh1saNceuNUvQuMNdaNdvBIpLinE07lvs37AcodVr4a6npuNk0kYc3hSLxh3vQudHxlOi6x0kEy6rUyEq0PxIUlUKLPvkj2w5MGW1dvZ4aoN0HvIMWGE3YenbyD6fipjn5sBVqRIZfdX0xxHZZzBui7oPJ5I2EED9J8/H5fTTiFsyE33HzaT6oyUErJEujyEUkcQaaXHvEIMkSIyCdMOyGSc7rR7M4KAeiV+DE9vW37CLY/EimjFIsKawIA87ls9H3dvbot7t7RFSvTZdl2XurGLcf+qHYMxK+Hw2lYjqNG+L7o9Nhm9IZfrOlO0bsPObj1C9fhP0eXomL1Z6e5kWSFxMWQ1AT5AIMWFI4MLJQ/hl4WvoOXIqake0JaHw2644RD3yDMIjO6mi6appjyHyniHk4tIO70TSqo/QuH1PZKWdoopD/4nzAJerlJjkWaSlezy3eTYNjeggiQBhA0mVg2zuy8Dxretw9lAyej/1ushbtMERlxzJ4vkOq36z6vSdA8d6GYy0TwoxdrDEtGGrLijIy8Hmha8h8u5BqN86mrOUmVAMRqYf20MG6zp8cpkL5cZn7uzuLjfzAo5vW4+2MUOp4n982490B82i+ooWOz9+95rFqHt7B9Rq0hIlhQU4tOkbZKWdpKpKeMtOPMH2OhipFXMdc3lG2ubZxCC2qmTskBM+JBw0JpUGEsUkNkTC2OcAUCW1snIgJ1hVfa686VU+yEKpoza96gRJuldZQipdOPx1JqnKs94u8DJzx10Yr67bWwlsMFJOplolJdmVdYJHDEr75W1VSZAg2WKSl1kFm5RW4kGMDjPB6QDVAlZUDjwEiDbOpca3hMm1UWQnSN5b51J4lEEmzd3Zx7m8xSS7u/MKkjZd5K3hZwOJxqm8tDRk69wBqvHHpre02WwucTlxrPk4r21wrzGJT6Z6G0CxanvWHLjOSKn+aFJIKcXyQVK1PFl8lVJFHwMqJybRHClTe+I4e0wSK14VOa3mna0rq6Z0nLHEySR9DFlWrrmLk7MNou7EtqUTQMo4AhQ5AG/JZSozeEz92JkhXaSPGh7hJSFHV5YtANU6l6zThlDUORwc23fQLXh3d2qegrlC7goopyvz9aeYJIZNHA0/pQRlboOSUuKMBiyNcUkgrfxLgSRYBBPLjdSfZ1n9IM2dyekbHSS228PoPMhoeQ/7zFrnfLu3riwZ3jHfYFskQkVarPMClqha0OOJSSFZI6TTmT3loioDpdKnV0WJhwY0RDtQn3dg7STRw9FLNeTOSnVhdpCsX0nYQRIxKSsAAa2NsxtninaDZgQNKEoz1U9TLBbZmSHP1WMMb5+XC5KKMfo4l3Bz6ucuVsNPVh2YQ+Jihg/LlgbSjTCpbJDkGJcdJHtR0/6rivJAsn7KIpmk5V9AOkz3loASvylBnUf/YWz/dNSnAMaUtsiin/qsPEdRjh+5ubsiFjAOr3zN78rl1C2AGeXtQjcBqoh5K34usWPXp2PqFKJkN2DWcV7yJkAVN3JFrqDcV/KSUVHuEmwxTdgKWjcBqoh5K36uLb4kLXpyjNvtZjFJvW4CVHEjV+QKHgLAKRpuAlQR81b8XA+AnKLhJkAVN3JFruBVQuui4SZAFTFvxc8tNceRoiFqzGf2X1JV/DtvXuFPWKDMJJSJhs6jFy/8E9e7eeh/2QL/B6DwevuUcCm/AAAAAElFTkSuQmCC",he="data:image/png;base64,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",ae="data:image/png;base64,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",ve="data:image/png;base64,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",ie="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b0dEy7V/F09vMBST6Y2wwj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g8AiTGQyqTe3Gr/TL0VKeCAw+Hu0xmY9Gu0bWKInpISqCdXYHTrO9RPtbf/0z0MXpdL14A3XRZYv6zmmS7zyWvS+h5imaQcOhW67mfv9Q26te00n2tVP9g2yodSbW0M3L2IeTK5DFQKLML35cHr7jjzeH4+n3tyqnHWmXFXRHV6nHImo++tFKt3zv9zr7XMNXlVZMmX0IEvTtLp6MUSecsaE1nI4+zq6ONGu/v0TputMUTyzzzF+Q1A/clRrbB7k/entO7Tmw/LECeZ2PDgGgUVY5uPd2qFGo++WJO3AobZv38VLI3L5GKmqUh43VpkyWamZKk86TR5fLY0qk8JhdX89U9WeIOM+b/Y6RDotdN3oSaEQ8qSJ/su/yBUl9309SdIONSZe+m/GeZ8Q5IzJMhNCKh/jmTPr1NX2+d+seFIPHtJPnBgksLRDjZmPdyOw6EJgEZb+4END9wd7CCHSaXHkqN5yhO36G2OMSRLzeKRwSBpVJo+rlieMT3/4Ud8xVn1+/CKeyGPuP133nHl62cr7BjwP5Tz15p+Tb2wdqLWeGWcoU6f0vKDure38zX+JRKI7knThn//lwIKret+we4+IxQcJLJFMpT/40H/llwr9UYBNEFhUiWQys2Nn/osJxhiT+5zl6W0n9ONt6r46JgST5d4fPOc8FOyzdCwm8p2sdPCxqQP9jRBMUQJXXymVRnpeS7ywufPRx5jouqYmmCR5P31eVke0zK7dTNNyXnHvkdmxUySTxq+LgavkEVi2VUGwYl4M295pxfiJnFvXW4/l/bSzokiREhGLi1Sqz0jRfoNFszfc9+BI7+hkeT4WM0y6rpx5uv/qK3pfaDuRfOX1rl507Slp9CjPWWf2viEazezeM+SK1b21euuxwW41DsW2CU2cnZnCtqIUecERFlVqwwHtaGseC+i6MmVS2cMPiERSO9SoHWpUDxzS6hu0I0f1Y20imWSZDBOMSVnhJUk80mcYhIh2iIya32MxgxtoVUJ4Pz1XmXRazwuZ7TsyH+3qbZsQ8tgqOesNWlOzdvDQkM8MaUdb1YYDZgILHITAokqt3S+iHXksIIQ0epT3U+dJo8q6X0ilRWen3npMa2pWGw6otfvV+gPq7j2Z3Xt6Hh6USkuz16G3nRjOg4Enpf705/T/fsCknlNOSd1XK9JdNyX7/YPMpdKSnvQRGTX+x436ifbswFKmTZVGj+rdIX//RD/eNmSYimiHWrvfN++Cgn8iYAMEFlXqvrr8ihYIIZWEs0dFcZ+X+0ZLY0YrZ0z3nXxPfN1zbd/8btdYBK7I2eM5GWPakaNM14d+8nkAiU0vd/z8l4xLJ69ddT/003/wBOt/bSvz0c7ky6/1eUmWvZ+em30pKv3RLpFKDdk2oWY0KypbgC0QWFRp9QfyXYSXlAwxZpJzrflwdw4Kwf3+7GveTNf1I0eMloXIxTN7ZuAr1/E+mSKYzxf4yrW5joxOjlZNp2NPrtYam7IPr6RIxPuZub1ricUzH+401DbB1Px3HbgEAosqrdHYEzk9OJdGj+LyoAcgQmj1Dd032oTgoSAv6z0lFKqqHztu5nnm0C2LgzfdcErDJN7/gWTOOJfC3ZfPUlu3JZ57oU+i6bo8ZZJy5unZeyOzZ6/Bi2taIyaypwqBRZXediK/BSQp/Zf3o//678q0GnnSBLm6WhpdJoVCvbXxGBPxhLq/oXeJsrLsi0QintBaj5l6nlmWuTx0dRqhaUywrrIKasOBjodW6a3H+p3reT8zVy4f031IxXnmk3264SJZelubiT6Ak/IILGdnfLDz1qkZtg2A0Nvb821ZZseuzI6dzOORgkFpzChp7FhlyiRl8iRl+lR5XLVUVck0TWts6v7ZCyFPGN9zmMMYEx0d+rHjhbxFOFDXWg4zXWNcUusb2u/5SWrbu/2vTMlyZuff2u76IdNPBtbHu0UyaTSwcu06275Lzs5yYtvvyKIN4QiLKtERy3sZiTPGmabp0aje3s5q96fffofJEvMo3B+QIiVSaUStb2C8Ox2UaVN5VmkXrblFb80zsPKq7sAYY0zd35B85XXGeeqtbcmXXhlo4rL0O++ls+vqSJLxWwHD2XXgDggsqkQmPfyF+40+VzXR0aFFo9qhRiZJ3Qnj8XjOOrPPk3r7G0RHNJ/A4npbe+qd97jPa/DKl360Nfbk6vT2HUySUlve6r4jKQQvKQl/8zZ5fLXQdc640NT46nV9hmXZtuvAUQgsqkTGwCMyeR2BnzwT7PqvFClRzpie/feZj3eL5FDjBrLjTJbS23ccW/T1PI6x0hmRSPYO1OralhBSaST09SU97RGpVGrL28N5Msn4rgNXQmAVL865z9f748+LpnvOmenJCiyRTKqf1HK/f/Ca7iKj9j4d3dUAzvOolOz19taHEEwkEl3jVLnPx/xZdbXSGZFIOLRbwUkILKq4RxGDDDoXQopEIivuVaZMEnr+VzqFUCaM7zPHjCSF71wa/NriQU4JucRjT61JrN/IZIkJIZWVlj74U+X0acOZTJBzEU+0/+S+zPsfMsZ4KCiFQj1/qcfjejQ67ALMHGXdycInRxX3eIeoLePz+i660DPzrMJszuv1fW7ox1lS297rPQ/1eLxzZnlmnzO8LYrOmFRa2lXuVCorzb78Lzpjoj067AEW3OMd5pLgNEsCy4q7pC4cwWCFPEaElIRYx6DPEgphbtKaYenb1OEc3GUtffKCGpPHVmXPnSNiMb0zNuwBFrwkNLwFuxe3ax4HF/6OrKg/kVeTMFU9Vf0eS87N/hlS+KD/O9x1yuOqedZDRfrxNpFIDnt9hnYduBJOCamSRo0a8j0ik2GaJvKrr8C595TnDVV1qNLsjDHGJalPLQchWEY10gAuyQNfyxdM8chTJmW/pB05KmIxpmmMc2Zg6Pwwdh24EwKLKnl89WB/zbmIdrT/aIUUKTU0uIGzrnKjodtu8V/+xey/UffVdqz8hX7ixBDHS5wxxjJ/29NdzpRz0dHR/uP7pNIhGiCEHvjSpaF//HrPgInUn7fFf79WpNPqnr1MkngwoNRMyV5ECocDV1/BGNdjsfT/vNdbNLkguw5cDIFFlTJ5Iht0wIBIp1NvbDU+FEvoeuCqL3tmnd3nxXi84//+R+y3vzfarKwR5yKVTr2xZYjDK86ZEHL5mFBWO9VP9sV+t7q7XjNjckW5Mmli9kL+L1/q++IljDMR7Tj29aWp1/6Ux3EWZ8rkiUbfDC6DwKJKnjaVK54hSmIZ/xlrmnfunNIHfypXj81+ObFhU/zZ57sLvZ+afYMf1wghjRmjnD6NDVgigov29szuPUyS+xy+SZx5PN2DIXRdHlctVVb0WU5RuMIYY7x8THDhgtSWt42PnOCKR5421eTOB6cgsKhSaqbwSIk4drwA69J1efKk0gdX9BsDkd7+UfShn4vOTibLgQVXej/7aSZO5gKXUlvfSr765mCnibrumTNr9G9/wwP+nEeCXJaTW986/rWlg48sVc48XcqesFqI7KD0XXKRMnWy+sk+g4/p8EiJUoPAosq+SSiMs+22scm+G2+8FVMMKJMmyhXluvnA0nV5bFXpA//iv/TiPi+3Hove/1DXVSSmatznC3/7H7MrfPo+d37mw51ay5FBBtNzRZFKI4NMNy2FQkMcpnm93s/MzQ4jtW4/D4XlsZXd+6Fmiv/KL3UOMuFzX3JFeXap+N6mWvCtM/m1Mfnjsq1HxhtvHoY1UCWVj1Gm15hdi65LY0aXPvAvweuvyQ4OkUp1PPLr5CuvdyeFxJNvbEn/dXv2op45s/3XXJXHYzfDap5cUe6dOyf7tcSml1Ov/ylrR0iBa6+Wxow2eLVOmV7TZwQ/kILAoor7/cMeRN5N16XKitL7fxJc/NU+51NCxH+/tvM3/5U9FZjeeiz+hz9mT0rIPZ7QLTdKVZVmiiYPeRXMc+45ytTJvS8kEqktbyde2CySveOwvHNm+y660OBlLM/sczApIV24hkWY97xzud+X3+TPPbrOBB/8aXDxV/pd/Um+sTX64MOis7P/6y+/pn7zNs+smT2veM6dFbjyy7EnnzY4qiCzZ6/WcKDn+jqXpfT2j5jWFYK5Uk9R/Jd9gQd7J3PVmlvUv38iMhl1X13PFTceDAQWLki+8vrJCXgGxP0+73nnWvBRgE0QWIR5zp4hTxivDmMOGE2Xp0ws+7efBa6d3y+V0n/9oH3Z8u7CWNkkSWtsSrz4SnZgcZ8v9A83J17+b4PlieO/W9356ONZNw050zQRT+SeHVrX5dMm+C65qE/zPtihtbSIVDr56uvZtwh8F12onDE9s2Pn4Jfe5QnjPWfPsO4TAavhlJAwqbrKO2d23ovpuufsM0c9uipw3YJ+P291z94Td/+fzMe7c//sdT2xYZN2qDH7Nc95cwLzLzd4VshDIamyQqqsPPmnQqquUmac4bvw/BxbFML3+QuVrCEIIpNJvvq6iCeYpiVffi27qr08YVzg6iuGDE3vnNlydZUFHwXYBEdYhHGPx3fpxfE/bjQ6CkkIxpjvC58vffCn3jmz+v2lure27a4fpt/73wEPUiQps3tP4sVXw3fc3tsGryd065LE5leNHGSF7/hG8KYb+oyEEIx7PNLJW349a2VCSKPKgjfdkD2RorqvLrX17a7DsfSOnem/vJ89KD9wzVWx3z6tNTUP0n7fpRcPMdEZuJvZSSisWNzZMQRWjN6wbqyDb9758oRx2oFDRjrGFCV4/TWR+5b3GzjOGFPr6k/84N7UG1uGGM2UTifWbwguWiiNHt3zmue82f4vXxp/ai2Th2i8NGa0NGY0G5IQTNd9l32hX0Gb5Euvage7z1VFtCPx4sv+yy7pGRyrnHWm79LPx3+/dqC1yhPG+eadP/A2C/+1Mcn4Ol04g4ZFTcIpIW3K5EmGZl3Xdam0NPLDH5T9x8pT0yqzY2fbHd9LvvanocdeSlJ6+0ept9/Nfo37fKHbbpEqy03dLsxubNsJqaI8fMc3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/9Vi4GCyfuOxzH7DcSuUEf/F4duubIzyFBjScNNEZiePKd/+Clz1dQqUm3xKfVAOW+FKzjL89ek0TVjylupwWlyfXC4uKQZX/0vd1eQ980X+WJxOHCpMyNgNWJS2T1lTBfuA+1rHU9UEfSK4zjr8fsgQN2GSo7Iyfghc+jQ9NUKGDgEDBNC4mUgUg8iaZoAh99uwy3zf0Mlvj1p8x0ReBvx++NvXYciLygDyG/Dz6P1iK/EDAtC3GSP0byx/HOV7/gny99RUuiugyqTZBiyN3zAFg77JP1c4rJZbrUrmbwUArw7MVH+Ge2B/QN42ueTO7CTY6kZEMdXEyB/vajqF6zAbYB6PwSguPSY/bAoWOGoyAniLygHwGfBx6aNZBznkxW7FmcyznPWDIlO6QhHMN7Xy3GrXMXgHXTfG1Mpu79nePqE/6AsTsPRkEuye+Dn+SnmaIM+U3OYRgWoglX/iheXbAIM15aSHOd3frKcp8B64QrO9RSjyBypIDRKjmFTV0y3i/LUjKGvmDDXkutFYbRyzA4zE5KIllTDYy5d6MeoY0KSUCN330wLpiwj/Q3BTkBBP2Odqr2vCcJQcOHykkop5s07FHeEImhrjGC+19ZgBcXLPlVJrepQv+E/UbgrHF7ZMjvgVfXZTVFNvmllXHkr22M4J/PfYi3/rOyW/IHRAJ5+xwKa8QeWftYE7TikYFpkrQ+tOQI/7mtAO05TwRyWLJKmGYonjI7XhRG2vnhs6hesrhL2lmc68W/LjkavUsKUJRnayf5Tl1VZQPJRbsaSgIRqIZlm97mSAK1zRFsqG3EBf98UZagbOurV1EQ9140AeVFeVL+XJLfo0n5CUzZiY6FIR2gAUCug0xvczSO2qYI1lY14Ly7XkBjNNUt8ctzVFjHX5GdHAHwaaShCpjX99LiQ7UJrQAd8HKkzKOoG0zDVIiCd3glY+BP3YJaM3uFe+bnyIRecszeOGqfHVFakOtop0cSCXctSk1dE6qqG1Fako/S4jz5cVqEZJg0nZZCYziGqoYwXluwCLfP+ViauG11kfxXnzQWh4wZgdKCHCl/wGdPyrtgVtU0oqa2CeVlBSguzE1bGiJI0XgyLf/c+d/gX6982a0y06CII+ewk2H1GZG1yR4q1SGz6/V9vPhQbd9WgI6YlxjCFbYkEUvIDu3o0n74EHWfvY9UmxLMbPfnB714+IoT0LskH8X5OcgL+KR2kqlava4Gl173MN7/+Dskkil4PTrG7r0T7rphEgb0LZOmV2ppNIGaRltLz7n9WdSFt52WluUH8cBlE9GjKE+aWyJzksipCpaurMClf38IH3/+I5IpA36vBweP3RV3Xn82evUokvIT4yUtJfnXVtfj7FufRTjRTS3tVQbr8POybg1AhXN+rwbm9Sz65VB9x1aADnstOkpA+yq6kQ5T5tyGqiaqgd0YERI4Ys8RuPi4sSgryEFRbkj6TiJCi5etx5GnT8eGqvpWsSb527ycAN5+dipGDOktCRIx3vrmKKoamnHfix/jhY8XyQrArX2R6T/hgJE4Z/zeKC/MQWFu0JZf0/DNohU45uxbQdYlMwlC8pOWvjf3evTvW+rIn0B9E8kfxu1Pv4e3F3adC8i4lCXgOeEKiFCWwjIAAZ8G1aOv+WWct19rQF+N729YeD8Z73htqlKzBpEX/o0o62AhWUYvWxbHrZPHY5+Rg1BWkIv8HGK2XhgpEy+8/jmOPHQMfl6yDhMm3Y5INHNHNoH+fUrx2bzpMkaNkdmNxFBVH8Zni1bgr/9+eZuYXUog3H3h0Rg9op80t/lkbr0exOJJzHtnIY46ZAwWfr8cx02+E8lkS400gbr9sD748Plp0rcSYye3UVkfxvyvF+Pvj7why226elHivnT3fWHufHDWj9C6Hp/fV/vLl5/2wLT9zfRQH/5a4ohowppnpTowCZRI+PR5VP3wbZc2pPDqGmZdcyoG9ChCCZnboF8G4k++/Cn+eOCuyM+zU4WTr/w3npjzBpgehKLT7wRoMNx29Uk475QDbbMViaO6MYw1lfU4bfrj8ndb+wr5vZh9zanoXVqAknwyt7b8M5/9EKcevY90HXSd8Kc7MO/Nj6XsTLeX6ZsmxwM3n42TjtxLAkpmt7ohgmXra3DG9MelOe7qRVpaWhCCmHhF1qQ9+fJQyB+ORKvL1k3sE08D2ndu+DhTYA462uSJ0oBP3YS6SHKj5paE7VNaiAcuPxHlhbkoog4h/+nRsc/x0/HAjadjx2G9QVqw/7iz8MV/Fsn2qbl9oYbsyfFhA8vx+fPXyuwR+VFii1X1zTj/H89iZcXW36VtaJ8y3HPJcdK6FJH/DJC70DDqqGl47r4LMKhvqSRue+x/En78xZ5f1vL7QwnYhdS77dAf7z1+eZoH1DaFUVHXjEm3PInK+u7tpxFACqHjLwXPb7+cgph1KORNCM1fRnsTpgEtf7rxFgW4sqMqLaV2LZrnzkCii2m+XYf3xy2Tj0RZoe0/cwI+GYYMO2wKigtCOHn8aHz18Xt498MvWvyQAPTykWCqbdJ/em0KigqCCMeSqCNAG5rx94fm4Ysf0xP0XR3o3bqPOmnfXYbiujPGpeUPBbyoqG7CTkfeiD7lBThh3K746N038PFn32T4UQa9bGcwVYeuq1j61vXwebUM+cO47N7n8cPydd2SRxEcJXseCGvng7J+zuPRDR/jPX45OrcuDWiPZyM/wDJoV8ssF4P2n9dR/eWHEF3I2NCiowN22w5Xn3YoykhD84IgE/b94g0Ye9a9MpltxRth1v3SJgMkoOb1hxoqg2FaeOfBP2G37fsiEreJRWV9M25/6h289cUPW3VhEsk/fp+dccnEA2z5c0l+Hz75egXG//khCZYVq4NZv6xNskBAKxgEJVAsY9HPnvwLhvYvaQG0vhnTHn0Nn363tFuAktktLi8HJlySne0qjPs8ao/lR+dUS0DLn27oz5iyrMOdSWh3rhfuRH1lu8r7DgU7ZM+dcPmJB7cC9NNvV2P8xY9JpmvFamA1rmpfTR8qg5bbVwL6/B2nYP9RgySgdc1RVNY1459z3sern3zTrQ7p7s3UgcfsPwoXHL0fygvzUEgD0ufFGwsW4+Srn5ELjK1IJaxm2gcjk3ELqDm9oOb0lAz3nfsnYbcRvWTWiOQnl3HT7Dcwf+FP3RUJIQ3wn34dRJaKBihEncSQ6hPyl9uAPlF7OtP0xwRtdJhNP40EYrOmImZ0bYU03XXQmB3xt1MPkR0iR3jAi28WV+KgP8+SGsoTjTAbaKS27ZA+0o8SoK//8xTsvn0vGbrUEfWXGvo23vzsuy758W73mvMBkv+P++6Gi487wOYAeXbI8tE3qzHhCgJUBScNbSLT31p+LY/8aInU0I8fPBsjBhQjHEtI+cnC3PDoa/j4m5+7LRqVfRYdNRlWz6HtPstUFcI0zqg8pXiWo6FNj4JbZ3T0LUrVCtQ/NwOW3B6ta9fo7YfgxnOPkhpKQTnNrtQ3J7HDqQ/JBwhuIVX9fTsT4inZHkzzyem072adhfKCIJqpQ5ojqKprxpSZ8/DZt7+0W8HWNam6dhf50LGjdsA1p49LA5rj92FNVTNGTXpMZnuEZSBVQ/K3fqandEcw1SPv+fmpyQj5NTS7HKC+GVf+63l8u3gTOADFuGMOgBh1ePa1RIr6WOWJeWfagD4TXgTLyF5yRmPw+/mo/fjVjudGs/TTgF49cO9lJ8sOIdqfQzlQXcOYPz2FFRU2y7Oi1bCa1tjgCAElWA4tj8ovBPqW5uA/D55is9xYQk5+k8m96K6nsWzN+q4hsxl3bTeoH/5x4UQ5IKX8AZ/UzJ3OehyVDbSrKoMV3gArvD4tv21uaVGWwIi+hfh4xvFIpIilx1HTEJHsdvKtj2N9VXW3JaNxU9B3INQ//tnetbvtpXp+rDwhtAPLe7KxwAdRASGyZwuYAv7uY2hY/G23zFwgEMSjf5+EfmWFMjDPC1Ec58HdL36P6x//Kp3T5Mlm8GQTFD0ExW9XPlDq8W8n7IrLJ+6COE2lOXEoJbnPvPERRCLhbndIdz+Qn5eHmdechV4lBTIOpDiUpvxIdmqDm60i2akNiicHis/O5pD8N5+9B849fHt7KjAck3H0yg11OPOGh5FMblr6MpCTA9+pHSzeZiyZAOvBymbX7g5d/7zD+JMpSM65FdHqim71CZnMO/5yGnbfrr8c5XZi24NEimP3S15CdWNmdsidQLO/ojDHi6/uPgoBn2pnimSmpRkLF6/BX/4xC8pW3OPPbSSx+RlXnImdB/eWqT+qsCD5m2IGRl/0MppjmQmY1vL3LArg87uOhK6xdIKe5P/k++W46t6noG5i5pJWsOeeeQOE3GewzUU7rhjGHqx0du2pTNNmd0iIIBB57Foko93bvJmmkSYesh/OPfIPjh8KydCFMkifL67B0dM/yLpckHzPc38bi322L0UyZTqEiMxVMx59bQGefO39bZPLFQJnHvV/OOX/xsipM8rlEg+g5MJ731XgpNs/llNlbS+vpuCV6w7ErgMLkTTMVoTovufn4+X3P+3WvGjm82kr2MJTrgbP79Hue21iZJ7GSmfXUdLxuo4SCiyVQNPMq2V5RXev8pJS/OuK09GjJA+lGek/Kjv5enk9LnxwIX5a2yTnXinfPrxXLu4+ZxTGDC2y5xSd2Yrqxggq6prw59tnY303Qqfuytv2/n69e+GeS0+WgKbTf07ZzIKfa3DJI//Bkg1h2XUk/4798nHf5NHYsX++lD8m05ZkbiNYX9OI8255FLX1dZsuFrdQOOHPQO/hWZ5BO3uL61nJk40zGbeyrteXn4o2ouHRazdpN1ouGK6aNBEHjRouU2iFuQGppTTKaQqKfM0Pa5qwvi6OnoV+7NQvT/pWyuXS6I4kaKYlhur6Zsz/ZilueOBpKFtnA66snUyFpjecfzL23mkgygryUJjjRzDgc1acK7Lu6vvVjahoSKBPcQA79M2TG4RZtMjIsOdD3fjzzS9+wh2PPbdZe0PQvk8Fh54BZejorPIKRX2UlTwVfhNm8pCOho1oqELjE9M2ufqub58+uPNiyunmoTg/JMkRzVoQYyTwMvdMsOuKaHLbriuipHyNk8O9/J5nsGJ1+0TEpg/3jX+SDOqwQQNxy/ktbNdN0ruT3B3K79QV1TRSDrcJl9z5JDZUbNj4l3ZyB9Vm5Y6dCG3H/bLfpXnfYiWP16+A4AM6eg6vW4+mJ260zzLZhIvI0alHHoITDxotJ7lJSymmk2UoNPMvy1DsIjHySQSmW5ND86DUIXPnf41HX3h9s0b3JoguP0LyT544Hkftu7MckIU5dpKEJhrayU9FYiZ3Kv8Sch6XJrcff/NzPPP6u5stP/VRaJ8J8OySPacLpqxkJbNr40Kgw2VlvG4dmp64AeR0N/VSdR/+fu4Jcm6RskZ5ISoUo6o/2/Ta2/vbBWIUd7pzoNQh/1m8FtPufxpmatOo/qbKnPk5jzeAaeefjJGDe0lylE9WxkeFYpqc22wlv1yJnkRjJI765ggWLFqJmx+eA25ugT2QhYB/76Ph3e3grJSHMcRZ0axaTnVaHTXcaqhE8+NTul2G2PZ5wWAerpp0LHYa1Et2SCjggz9jlEvtpLrWpIlILIGmSAyLVlbgpofmIkInPmwi1d8SgBLpyc0vxLWTjsOIfuUt8jvlNGRl3OI2InKU6qMy1K+XrMWtjzyHeHwLxc1cwL/f8fCO3D+7DwUsVjSrroHBPuwt28UjjWiaeWW3skQdPcvrC+LMCYfgwFEjJDmiCWO7ct7e0JgS2vFkUpKJ+V8vxSMvvIFELPLrguk2ho51CuVi0jGHYd+Rgx35PXLmpUV+E/FECuF4Em9/+TNmv/wWUsktt48vkaLQoWfDM6zd5ieOlKyRFT3e8B9Y5q4dkiIjiaYH/0LJX3uqazPreYg5jhgyBOP3HYUdBvaU/ogq+ajCLhpL4sdVFZj30UL8uGQJaB7wt3bRYqQdhw/DEX8YhRH9yxHye+R8KDFzAvKH5esx78OvsHj5si2XABECRIjoGJSc466AljVsId6qfcMKn2h8hplGq40XWnUiMc+69eDNteDNdfYrXA8ebYCINYMn6PSTFFr0AAAgAElEQVSipEy22wEl/SeLbTsEn5w7LQ8IhnJRVlgAv9+LeCKJ6voGRMLNcmHEb3nHMFf+UE6elN/ns2uNquvrEY2Euya/zEkQUKKl3+SpTx4wbwBKIBcslA8lVAQltxBKbhGUUCHUkt5yAj3bxVR9Dit8rOYOBvy1y5qQBopWGHE56yBSCYhEBCIWBo81QcRo945m+z0WhkjQKwaRikMYScg0I6dibqcx9ihoGQhSGMdp/pq+s0OzlWGHJS40QKktLR+QA5KIpKqBaV4wjw/MGwTzh8D8OVCCuVACeWCBPCjBPPk7+TePXx4nYp824fRPFzd2FgL/ZIUzayZBVR/q0qlGXUbdASRTS2VZuQU6mE6YKVuraSAQyEkbbCTj9r/lKwFhJOz7jJT9GZPeDWdAWPagkIfV0Zmh1HgyS7TsyR0oTg9nZujSA8S2ILYloGXocgNF+0UnEhIY1KmqTqbM1hzdA0YHBeheMN0nQaIl9BIEr/OS/w7Yf5P3eWyNcp/vDIA0WN3q005uVhQIi5/HCh+t3AOq9zNYW7+Srmuyu5rZ5j3zw+6ITb/zDG3PNqqzIuq4hBb3kAY3cyBm4wxtv1/K1rXJ/671wSbcperg3NiP4b7qUGGQ0fTZxlcebcL3/P6RbdUDLGHFYz2lGhTMangflpE9uNlW8nTle2gh0IblUMv72aavi76lK49udw9lr5zjn7u7aHeTvm8zP8Q0zxf1p+XvIQHNf6TqUqao/9jouZkZX0qH5fiUJHr6NqCHtwoBNYYU11GbKsa6RE80mXlQQfvbbqakbT7OG2tgrVssfbFS3BtqaV/bX22JEIeRHzLA6ypgVa2SR1pqw0ZDoWMot+Alz6mFigK9Ab1961HkqYfOTETMICqS5diQ6AFDeKB29SBhmTrl1zeeVTZFdnfeQ5UDmK4vgWVttGiI4sgdcn7COX1mYu/Cz1CgNYBWZ2dG/zHLj0Xh7fDE+hPxevWhmzRT02n/yUNguex4Xr1GkipJSvKKoeSWgAVCgKa3KvXMtgWdJGh0ZCWFYk01EHQgkKpBKeolBwo9Y0tbAQJpQvkrOLHnHAwPLoFPbb0MhAsFtakifFi/Lx5ccxaWxQZuPJ5VVQFh7dp4Zum3af3Je6zhbWalsi+gcHqXvmxyv0dw2cB/Or/pXP1UZuKT+r1wzvf3wRCdbI2zWaOfSI0iwyEJTHOtjI9hEMlzB1pGclOaaQdeAt0XBKMYL69Yxn9bnH1mtC2oRjFr5DnYOe97WGJjukOTFQquW/J3PLvhWEdpOugo1fNN4xn5u9Ha/DQiOQ9XjldV7ZXOwpee3g34YM/DuqVxZHZvWPY3PLb25C1ufjeqxe5xzm1vdCtG0uBu1ojq0odpbvjygXdjcr+Hu7XngsE17LXgPTSb9trZdhedYGxZ5zVNKpNHcLWo2Byh5kXrF8Iyd+5Iwp7eCnyw12FdaoB7E5mYqYuvxuz1J/6q+fVuCb0VbuZg+OvAGbig34Pd2qArxT3Y61MCNPuWtkzVNjTWGkNxebmsEWplM3MfqDic6fq8js4qo1F2Zp8ncPXg252juzZicmHivbqxOP+Hu2BuNZO7FXp/Kz3Sr8Ywc6fzMaZgYZdMrik0XPXzNLxYOT57pQZpp+AXNZ9dOsMVuR0iuTNrX2HcGt9Rm8iuDwkuxTl9Z2Hfok9Q4qltxcYoRxs2Q/iueUfMXnci3q3Zf9ua2q0ExpZ6LM38Hl76Bk7qNUeSy6AWa3V4H4FYlSzFe7Vj8fCa07Em3qfDshuhaD81R+p3xUUtx221A9T3wPq+Xo//W2EanW4PZgkFumKi3FuFMm9NOmypSxVJ6k0UvMu0e0v11n/RcyyhIkcLo6evEoWeemjMRNQMSjDpRX+3o4fsF1NVyzKNAyPn9vgw846sNjP3wcoToKpPdXhM5H9Rx/1PikqsXmF3hM8quTwb38va5pyZdbczbl22RQL2/8le/fUaJRT1k3C08aBMU9uhD02LOUeoOeG6Z5jgx/4O6q8HXttvVlQt5hHmjtVnl2dd8dQ5Tb1zrT831/++4Gb27ax+O+38/0ISyikHFXZ1xVnFN3foWzfWE70eWtc7ynwfWMIatKXTYBv77t//3tIDClMRBHtyQ17R6ZjYcZK3S6nzXveuK2r2+6eDW+f+bn638TCTZ3yovwST/LbKqpJZHZ2svHEfmkXu4EPVZyqKcrcwjU5O4tnGDf5f/jr7aOfnw83hSfjLgMauNLVLGpr5oNBDG0YIps9mnI/6XVu70sWbdo/Q9Ci4uDY6qfhuJy3XpQd1G1D51CmLPMHepZcyplwN63dt7VJPd/UmewfsBbDUcyLnFXV7d41NA9QRzvfviv6a7rlZCH4c4+amr5XoamP/l++TyQKlUnDrulh+2czOiE9n3bBZgLoPDjxYMZop2lRwcSiEtS0WWP/vQCt3xFYawPk9Eeh3YXJh97YZa9MTWwTQNLAP1ezGwC4VQkxggvt/97GdjDuaKWFsAyzr3zHT/Df+3HszVgK3fM8WBdR9rP+edb2ZRzuDKeppgBiy5Wt+/0sVVJaHqhYUdQFM48Eos17A5J5bbvFLu228tnQ/TZmv+Xpvv6cCdiKEGM+A3ja4v3IN65ZuZ6dOTRZvCyjKz8K0njMt65nUBT27v/NUF2XeKhqa9bsfELqfVY9WhDVeqJ6Dwc0d6Wg2qn7/37pkIgBCWAmo2kJmWa8BeC16btmi7oQfm9on2w7QNhIG71tZzhXvngpT9hOKtge4sT0UNSTTi1KL/0su56AdJkSzUNUfGDcXCIEPYpr5OSb1qd/WrfjVAG3X0NmVwUCED+cQOymcjVNS1rFCZxC0qc+WLu7dnF6mAWfKqsE1wsNeFIJ9q4B/F1PY4i3tDzdFzN8OoI70JVcv2Zlz9gq4SbUXoF2ahKYAugKuKRAqvWygBe25J9caOe/OKja3Izrz1K0a7iztk9vTCAFZKGDROwejs1PpaCqDA4Zlv5u0OIrFhCLOb7xrh1mb0vFb6zO/KUBLpiwfJyz2FLiRR0DKc10IVAc0W1HdpYcOtcpogcRFMkn6m3Ofc7ZKGlz7cBW7P+XpP/YyQKr1kWW8chWbs0TQXcPp/F4uf+QCdECrfIdK/5/W+I8R128tgLr73N8MoKVTlp/HBe5m4B4JIgFK295IQN2lf07z2ppgFwS3Nc67/XnasL8FQLlY18pcZkiLbp1b6LvcZ0lMbZDbASnXxTrAShOhPlwfSF6AaTt07wyP7qLVhft/fUCFYCU3rL4enF/DwBmjExMITAkoUX5i/W7lu30SU+Zlg2Nv5WXXVdtHb8kln3T2abpStQVEOtutRUtdQJ2/S1AdBXY0VWqj1GYHSAmm/TMsDsHJ5CtvCtF0QsOtozYr09MFzDq95dcF9MKl3tISz/2CW2cwVYDAtF+OZkoNyzjy0lnlTcaONhQTpr2kXa7rTGunPRhUnzzkrX3jHTPKUxx0CqO9LN4xsdwxBuSr02tAM8wvASsBtLWcPi//TT/LgaV8zSxrfO1twzdvh6nNQPVXA7TgluV5ekp7FsI6hI4IlWd4OWC2MrdtiI6tPU5nEtt0zk4j8OTJ8V5NnlPdaZm+u3re5OApC9yk1eC0/slZLKzYRznaF3WRq6G2mZUvF0waVAQqPUuSJXUVU81Da28cLg9o3dbXrwJo8ZRfejLV9yoD30VqozyUzTax9G9avp6pmdKUuuaP+tzi4AnTPhTVq0L16WAeWkbvLLHvSqvkziLO2iQCiM4cT9knG9OBuIy2q2l7unH6M200lMAlQOVnSeu1GounJjTcPPzT/3lAi6cvH6qYypsAH2AD6ZhY19SSD800oa5GOoxUakfKghbyQPFrUCikcfcMlO8dECeX1mb6R4fZpsmPq30pE1bMTA+StFN20ZE+1QHV0U6psfSig+ilj1ajwjJPrbtl2IvbEtSujOUtJk/RjWvHKJY1D8wqJSBaASqZLWlmZhxi20bXzNlZJEAN6fLcTPkMqdEtbLhzQJ2myMe6dreFybqmlGJQTlYgaQky47brbrPfGgHq+lLXn0pQLVvbDQuCKwbj/MLam4fKlWHb4tpmgJbcuGJfwZVXGKy8tmC6QLpgSiVy4kM75iMiIrtjjRrw9FE0xtoNBndHEydmTbu/bL3omu+soQmB4vpIIbhpLWGqMlSSZ+fw2sxHtoDqaGimppIJthgXQlxWP33IXf8zgJbcuHwfcPU1wMqVfo/MJL27IYqrYTbfsc2ZG7w78Z7g7FM9h85W5LvLE+Jd7XTCG8l0MxixG7pkEhu3Q9NbM2QmETITBo7GkekUFqsWHK8yFWcxxtOhVGY0JE22w3SJYNmm135JTaUtmRgurb9piLtSeqthu9U1tOT6VbsIsPcYzIJWWuWw2rT/cyVx/ZjsICcs4GqF4lf/purqLApviKwQiWql2Q6g9i5mDjvN1jo3zeckhVplhlxQ06yVNFWAm+IuprAdwPjBMlnh5JfltrCu6U77VPpMJqiWTZZIUxnOq79xsH3OyVa6tiqgpTcsHSS4/gmYVd4CZgsRagtm5kh3QwHBGRfx1OF6We7fGay9iH1KDW2l3USM7Hi1RTM72GO0HaBuDGqHLK4JpYSB1FACg7OYSCb3Y17v6wAvkYCmGbXThY7a2zGp8znTAdNhzsJiBgSOr7tp8FYjSlsN0ND0ihK/kVwAZg2WIYlGWuWQGJkJstmsJDGOmZUZGWnm3DiTg3P2sJ6rzGaq90OmcCZJinxWRpiTmRrsTDvTNte17U5SyNmirpWZl1raEu8Kk/2TMf6VUNiTNF+dzmhlZLEk1SJX4Zhfl/G65pf+TeyXW8mD628e8dnWUNKtA+iUlb5iFW9D8D+0gOnEm27ywGWN6VjQSaU5ATo1XlhKczzBh+aVB+4Bsya62plOQlBnuv7XJSybCmhmztZN7aUJDqeVlc1Ro3lQQMt9hSl8z3T87Mrg0Ot01snNIEkfSnEusV+bAQuhVlocezTeNHD1lgZ1qwBafOPqh2BZk+iY7nTnuz6TNMvdeo2+PdNvUUc65okbMs67WynNuUUzzRVQ4ZdESGqonVXKBNPdALRLmz62TL20JOZl0sAJYejAVlfL3FDEYuAp41IIsQya/opMVbpyuKlKtzcznmPHp45flUTJMcNC+U5JGn+ovW34FtoduYX+bdFBUnLDigsEx73pdJ7DaOWIduNMN7TIZLOZ2iC1E2YqZuwQKAsewlT1bjk4PI65zXyW1BB3J89OyFDbVnZAjtJhkpt4d8yuZKuW8mNVU49dS3PX/8iYGCzlycg/y9yx40KkP3YHhUOy4LJeOWhlRvrp+usHnbQlAdiiGlp044oxjCsfgnGfHL2kTa6JpX9ndr4bA7okIk317REMi71fd8OgA8v+WfkJg7m3fJZktxkJfLeawfXFmbHKxlqWMalt/9iSxJBWw0nC02R2Oq3HFWEmzT0UIQ5iGrvJdict7ZScQKaAHfabtj6ZRMnWUtsSye+9uO6GwfdsKVA31uwufw8l21VD/Q9gDUozWtLOVik9mpBwWaGTDM/0NdTIFGkCg5VKnKb0yJ2vGVihqNDT2unkfW1za7NbMuGmqiKYiKFX/VoEklEs6jey89KVDLPbshtrC9OVJtclaWnrQWlH866UEPfoqrqEkVzuIJNtzZiQd3hXK5fikiwXUDublDANa++m6UO+7nJnd3LjFgO05KbVs4RlnQYata5mtgr+M3a5TmuD46ucBkqzJqe1EBYG66MV60czRZlJ5lbGno7/tDvO9qFcVTFy9Tc45YOZ2HXZl/Cl4ph84ZP4uU8HhxW3SvO4vZ7JtN0wpoWkpcMQO4RZWh3uNbwksO59ML5fK8vhMO9W03auW0nH1Q5BokFCg1fmfZWftWh4dNUdI7t3HlkWYLcIoIXTVxyrcGUOFCFTclIrqXEZ02Etmw1nzHDQbpcZplY20A7CX6y/afDRZXesf1rAOkHOfEj/aWeYXF9M59pe/vKNGP/li1SFLjXys+H74PKz/gWNb3z/X0rfWLRfPDl8Mh6WBeZmqCjX2IoYOabSYsIMx3dguj5W0ZT7oKPFFWTkllvNxDvTcm6M6ppxe/DaLBhcubtu2oBLNldLNxvQnOnrijzcXKQqvJxYKL2oqIvTkVdO+QgBIIsP0lu1ORPC7kyFw/7sEcsgkolTG3zbPVUaWr8CjPeT5raNaaMFNP+YfSH2WLKAFvmk+8FQNSR0fxf7hSGl6WgO5GF16QB8NnRvzN/+QIS9uWC0U7brSx1TCdn55A6M8y0ef11TgsuYJjQ5dUdTbWmLROtVMibmad9+Svg7MapicVmNxJzEA3EGy1JMbphjG24YvFlTbpsN6FUv1cyOJVKnFgYUFARU5PhVBL0KPDRBrDJELIaqBMeqiMAvTRZWhDmakhwKNSgTUKmdRIhEKhVO9NX7BH2aqa1gGhSasCbTJjtMDhgV579zD8744BFwpy62iwh2cpuAwjkivhz86/8uxHNjjrdBbZX5SWvpM7V/63ti8c1rFoLx3doOOKpGtBhDUGcYmKtiRJ6KITkKevgYcjX6HoFEkiMSt9AYs1AXNVETNhG31J9790nuOm3/AZlbdHaraZsF6D3v1+xX0WC9H/IIJc+vIo8A9akI+RSEvAr8ugKPxkDnXspzziAQNQQWN1j4eEMKH69PYVWjKYGEAyhM9fP6GwfuWXzb6iMglHlME7Z2SpZrm/Me4So8d9cfoQoyWabNUFVV+lWq9fHsYPvP1KJF6QOEWCgEvS+dHtz6kuetVVZC69EDqcWLAcuCwi08vP+5uH//86GYtK891eK6CXcZviyp/VufYUXTlk9nHvUqKjEl2ajMtEeOhv16eXBQbw9GFmso9CnyTBoKbVOWQMLgiCU5wkmOppgNaEPMQn3URH1UVmBcfefxPTvcFGNj6G4yoHOEUJe8Xvu5sMxRmWDmOGAGPAq8BCjtw+8wW2lxOJ3cJxBNWggnOH6qNfDe6gQWbkjJEcsM86aG6cOvLb5pxeVQ1dukL84wuVzXcNE7/8Spn8ySpSPFM2aA+Xwwly9H4quvEH/nHfR48035uw0HHACm29u6Bg4+GCUPPti+P4RA3ZQpKPz731Fx+OHgMTrQIAVRXYWzJs3Cjz22c0pMhKzLtcMNnjSawj0QDOyiap73PJrAbj08OGKgD6N7eJDnt9vu0xVoKpNpZoo6adwaJg1qG9RIwkJT3Aa0IWqhLmIinFKaQkFl+LTDSys3Bl62v28yoDPm1x3fFLWeyfEAuX4FuX5bO8ncEph+jwKfxqDJ8h47Z2vSyYMWkDTdxnDUR0zURiysb0zhq0qOH6vi/7fh+qHvFE9f/SDAzyH/hAwNJXP7/Iyj0Kd+nTwRovjuu+HbfXeopaWIv/ceqk87DT3efhvM48GGgw9OA6rk5UEf2nLCvD5gAIpuvRV111wDrWdP5F1wQbp/rNparBs9GgsG740LT7wHmmHYOWZn8hoWg9mc2EXR2Ypde/gq9u+jBwYUelAYUlEQVJHrU9N94JFJfDtaI0JLR1TGCdAUR5Q0NcHRTKBGLdTHSEs5DM7uveWY8gu3GaDz5wvtG6P+WwZz+zyf7TdzfQqCXrshAS+NUAZqjIz9qcKdC1h0HJZpA0oNIZNTH7Wk/6hsNlDZZBo/rkr1XjB1cHXxLeteFTx1uEs4XB9akGzGG3cemj51ibSJTK5aVATm98Ncvx4933sPIpGQGkfASgZbWoqer76a7qP6G25AyT33oOLII1E0fTqshgY0TJ+OgmuukZsnV51yClL+EA75y5uIqT47vHDNLqUB48b4hmmDXr3y+eqviwNil9JcDcUhTQJKFkv2g4eBTvwll0NhL2mPQWeLyhMMBaIpjkiSI5qwtZTML5nepgSL+wLasGsPKVrbXVA3SUMfXdBwVFOMvxjyCDka02bW0U4yNV6pnXKSXzaECg5odKZMapBA2DE3BGgtAdpkojIiVt1/So+BtCCh8Ka1nzEYe0hApZbahGhYzVI8df+JsFRNamj5iy9CJJMwV6xA/IMPEHvzTfResADG8uUSFBdQtbwcvT/7DOGnn4a1bh2S332HsieeQPXkySh94AFUnXoqEp98gl6ffILwrFlofvBBqNzCaWfPxo/lI2xAnUlrQWupEskz66YNfeyvcyufKAng5LJcHcU5GgoJ0ICKYBtAXSJOLsftAwkquR6pqRYao475jXEkOe6cOr6s6wckOchvEqAPfNT4IePGvq6ZJRJkN0CBz0Oa2UKG3C+wTx+kEcqRMIQcmWRqXA2tIg2Nqh/de0KpPO208MbVPwDWDjagdg6XQB29ZiEenH0eTDocB0DR7bfDs+OO0Hr3RuT559EwdSr6fPcdYq+9htrLLwfT7PtcQFNLlkBEIlAKCkBmt+bPf0bo+ONRdfLJ8B90EIpvvVVqrVVRIcnR9HFX4bmRE2x76UwcwASshHlR4/WDZ1zyzLoby3P0a0pzVamhhUEN+QGyVrbbIQ0lS6VQaSgdRiX7wR7UBKxresmfNsYtNMU4GqImmpOsQfGoA/52cPeW6Hcb0Of+U79TY4x9E9CFQppJftM2L9QAMjE2q6UXaaibqyZCRA0hUpAgYpB0CIGjodLsRthLd04smyABvX7Vj2DWdpk+lMKWPdd8iX8/cQEMSprKlWD2+lIWCEh/qRQWovcnn6B+6lQ0z5yZTv+RSS68vvUSFBGPo+GWWyCiUXjHjJHaTH7YfqBdOzprz9Nwz34XEFlr0VI66StpXNp4/ZC7Lnlm7YXlud57SkIKShwNzQ+0uB6yVtQXdIIhTRBJkR0ttTXV9qc0wMMEqAxlOBrjgu6bfNkhJVmYXMeGuNuAPvVl4x3C4n+VZlb6TUczidVpTIYpBKROI9IZlXbJDR34KhzqLiTLa6ZRSXFYxI7DKiNs7i1Hl04kcQuuX/UtYI20fSitPrMT86PX/QcPzjoXvuMmwrvbbu1aRprqHztWAmNWVMi/k5+NzJmD4IQJrU95cLJLjbfcgvKXX5aaW3nssWkzTb3/1OgTcPsBf4FimGkfCjqdK2H9qeGGQfdf9uzac0pyvQ8WBxWQH6VYnAAlPkED3EcaqmUA6tS/0eG3rpZKkpQkq2VJq0WaSiQpwdXPLz6gcM/u+NFuASqEUOd+HV7mYby/CyaZWtdnkuASUMV+OUtTpP+kLJ8MWWhUGlwyPZcYUWBdG7ZQFVNen3pE0eE2oKvfh0jtLzMwBKqzpHBA01q8cN/RyL3qagTGjWvdVkWB3q+fDD2sqqr034ggNd5xhzTP7kVnmxHz5Y2NWLf33ug1fz7iH3+M2osvTjNjAvTxMSfjzrEXtgBKppdYbtI6qfn6QU9fNqfi8pKQeltpjiJ9aEHANbmkpTYpkoAqtobKUmD5sq0V9UfCIUmxlIVwnNtaGrfQnGCW6VGGXbR3/vKugtotQF/9vnE3i6sLA5qwNdNJHviI0TqmlrSTwLTnn23K7jaA0l8UXFMcSoBGXMruaGltXP308v8r2EcCOmX5kwA/SWqmp0VDPTDx7ozDEEhE7FHiXpwj54wzUHTTTai99FIkPv1UJhnIF8o8st8P78iRLSAD6DF3LiqOOQbW2rXo9fnnIBNMn6s++2zpe5ngmLHf+Zg5+jRidC0ayhWIZGps4w1DPrxi7vpbSkLalWRuS4jlhmyWK32ozuRgdxMr0uQ6M3VygEvWb5vdRMr2p2nTS6QxAcRS1oUX7F9871YB9PUfmv+qKcodAR1pgWXywNFMMrPEXWRWiDkM1z6VUlYDULbEpe1EjIi204hsjJtoiFiojWPln/cvHEjC59OBJYJdL80tAUp1RLoCy6Pj3uf+gj8sp5SnOxUnoA0ejB6vvILUd9+h8rjjUDpzJvwHHCBjUXPVqjQpcjuGQC++805UTJgg49CS++5D7K234D/4YPszK1ZA5Sb+MuE2vD9oXxtMSqITs7NAp9cOaLh1hzVXvVTzRLGPn0zmtkiSIjsOJUB9Tizu8gnSUvtoyhaL5fpT6g/KIqVjUwI0ZiFqqS9P2jvvqK0C6AdL488q3Jxojz6b0bpxli20DSbVmjuzWxJYMi/SjxIpamV2BaIUj6Zzmlbi8wpW/uDEwqaC65aOF0KRpR7Ebu30mgqhMYxa/y0eeepP6Twuy81Fz3nzwIJBbBg3Dry6Gp6RI9HjxRcRfeUVyWTJt1LYUj9tGoylSyXLLZkxAxXjxyPvkkvg3XVXVBx2GHp99BEizzyDumuvlfHz4ZNfREWwNB2HEtMFV9Y3/PBVP8ydaF33Su0XRX4+pjTHBpT8JyVaMl2RrtmpTzdjRoPbzZqlB7lh+1RXS8l6NcVNRFLK6lN2zx3Q1Q03umVyP1uV+loTxi52Wo8cfgujdc0KmVl7ZsU2uWmL6Mw4kAtKmbbwZHqpARSDNVMDEgyrGuP7XXZg6UfBKSvLdcNYAw26mymSI4ZmcnQVt827Fof+/A6Ql4/yp5+G1q+fnQz45ht7ib5posfLL8Oz007YcNhhkvAQoG0vCm2Kbr4Z4cceQ/1116F01iz49tgD6/bcE0t9pTj6jCehOubWnfaCpbzUOHXAhLNersnpC76hNEcJkbmlTBEB6oZxZG7TrsghiZKk0YsTi7UtF1kt1xXJXC+ZXnJHMlYXRthk5ZP2yuvSBhzdAvTrtcm1OrN6k6CtGK3MCDla6TBberDrQ+2V7LbJJWJEbFcCSmSAQHUYL5Gkqii/88w9C2RAnX/tii8hjNG2htpxKAFK6ScvLNw39xLsxWrBeveBtWEDjJUr08l4MgmklVrfvjDXroVVUyPZb+bFo1Hw5mZovXoh/tFHEnStTx/oI0bA/OpL/H3Mn/DC9kfYMSgJ7xAikUpNbrph2IOXza08sjikvVQUAEpk2k+TSQWamJDZMs0O4zRFsQ/7dSsDJa+qPcsAABh7SURBVNOl6TT7ncYLxed28t4e5DKBn7AQTjHUG9bgM0Z1jRh1C9CfK431CqyeLpiub7DntG1q3rKC3o5BXSW1l6jI2KqdL004eU3S0mZT++TIHf1/oI7P+9viq5jCpoPmnzMBdUDVGMf5nz6MU796Ch46BThjXrSrPif7fQJLiwbihNNmweKsBUx7aUQq1WgMjN81bP3VL1TcUhRQryzJUe08bkCTiXkCU1oxh+FS39iL5OzutomRbXZd9k+uiAgSWS93kMu0oAHEuTXkyB3ylnWlTd0CdGmNuUxn1iDKfJBfcEmQDWRrv5kJpmxEWy2lBpCpccgANUIyPEP56qBh/jH0Gd81K/p5ubUEjHtc7XRzupJGqwyWpqIsWosjfnwD+y7/FP3r1iCYiqZzvRvrBNr1RGu1L5JAszcHJ506E+tyejpa6Uyf2eUirzdNHSBDqykvV95VGlIvKQ6pTspPk2lQ4hhytoX6iPynk1Ro64KcJTFyoMuUoJMaJS2NO4M8khKi0lD6nbhjoEt53W4BuqaJv61y8+B0JsjVTMfM2trZWjPdDnXXBbmmRs680IhMN8IemQ0J5fF9B3tPcz+Xd9Wy5yGMo+UQpxCGgNTtdS3OsJfAckWR9UUaN+GzknKutMM1Lhl7Zhz79Yu47J275ecp1beiqD8uOvp2rM7rLSfgaYLbNblChivJw5pvHP4myTf99cpzeuR5HyzwQ2onpUKDTho0bW6dLBGJL/vG3ZeDNNRhu647chMvdpxugxoxRMP6eKB84g6sSxtydAvQlXXJaSGPep3KRDq2crNBLglqq5mZGmKvOKBZF9uX0ssmBEDK4DCEgpUNqT8eOCQ4Lw3oNb+MoklvKJYqAcx8yTUmtqambb1TRpm291KgLHoqAM0y8Owjp2FIzXKsLuyLZ3Y5Fs+OnACDqWBSSMcmSt9JVYDsq2Y+YA933/cpb9f0HJbvXV7gEz4iQ+70IcXlrrl1Eyz2BH9rF5Q2uxnuyB3kaV8qtPdG99YP2pilcf/eLUCXVKd2Ls1Vv1aEYLbPpNXzLTMqLgnq6MvdZXxyRLZqhB2fRi18N+u7T0ZN23//VhsA5v1tyVPg/ESqKLRfdt1SGkwXUNeBZ+xt1LJ6yd6PwXVitFvKiKolKG2uxvLiAViX21P6BdpsyhbOAdTRUsaZgJE6uOn6YU6y137Uc9+EHygOsHNzvcyZPmTS3LqzTZlJFrrf5RSuxaJB3eKO7AkM8qPSn3KGuqhxwZj+wX9tFUDpoY0J/qEOsa8dZ7ZM3nZkatsK0rIkM4P1cjI/zFhRx/fbtbfeLrbwX7G0t4fhe8AssE2ts7uYq52ZWkoamrG3ka0Wsitbi9Jml5P0skIXTDtQtLeBo/onrjzdNGVAuyr3BxY2F+9U5PkuR+c9aXbFJkMtkxNuUt71n20BdRMubjaNzK60Wjag9d+siQyasEtBlw4QyNLKjY+D1c3GPuV+9UNhK6fTd9n9Zmeaam+ZYINKXV2bFFf2Cqm3dfSZ3CsXn8a4mCUUspWOmZVA2gCnt5FrEaqlqNu1de7UT9qxt945zAbO1U5HU2mLOKGu4zy5S3jqsNps8r27LL5/vzz9Ta9ieWTs6ZBGN5RzzW0rDXW/2skcUT+45MhORgENCevKocXeDvskmyzdMrnuA5oS1n0BnZ1v91P3wKRnpJXDaUw4xR8u8Kvn0sR2Z0Mq78ol94PzyRJUF8hMLXX3Bkyb3pat4twt5Vo9P2MFt7tNnATU9Z9UlQgljkTq/8I3DfukM9m+qUyd2zOo3K8xwQhQe3Lfzml3RhRlFs2ZgSFA7VJlgaTAwg9Wqnt3lQxtkg91P7RWCH+RKd7zqtjTWSbU7Q0zXVDDhvXk1x71jP0Z2/jGuRcu9ebniHd50tintZY6u3aSH2jlT13z23rzKteP2u8Ze/y52umASiw3WFb4esV59gzQxq5ldcZfy0LqbXQcQDrRkpExa7cLWnpbQScmdUI7MFa5pi651/By/8qNfWfbv2+ShtJD1jWLoiK/eMOrstFtBe2KENSW5iS/822vcuVE1vbop5azwVt1PoDBc6NPNPxceZLRnLTBS2so7c7ZBlCXHLValNtGupZ4yp0WShOinKIAgj0Kvlp6tG/39Kda9Vh7i7K62Ty9PKD8CwKBTO3MNLdpi+/YI1dLnbFVWZNgh/QJse+70o9bDFB60C81NTl98gpnBHSF4sYuDw6To7ohiQtL/ZibFmgq2JQ20v20fcsza360f143MvmWFYkeEFnViERTwl7R5mxWJffWzdRQx/QKdzONDsIX6TtdTZV+lCOY54evwA816Fvd+4fAYPruku1b9lbf7sfW+6xPoxum2r9b2mTs0ieoPeZR2Y5pU9hB77ihHLUuaeHzqkjyxAEF/lWbAqYcNJv6wczP1SXEoTkapmkKxnSmrSYXTUmLPby8PnLbjR+F0qcguGBhLBBeAhbf4Mi1PZCqtH8268DQH9Dykgt5JLq9GTOQqIsh0eAUmTv759qxVAtJcmso7X11nSanyZGztaqzhQ6ZX4UD/qAOT8gLNaBDDXiaUzWh/oofcawCtCIIT7kD5o+Av6f9c85QCHzQAvpBA+GduB0/J+Blf/EorF9H/SxLUgRWxgx++7OLvnl48qhRG1+U0wloWwBQxzxOAVtzqbFbQUAf52FiNBjroylQU6YIcyZ+iRjKe5+uwhs3fYRmkkeC5gDmgmUGwXgDmNVsdz0PgIkIGIqB/ChYSoPqKYv9wqOJUgLUihkwoimkwim5UZQLZHoXbGc9aksY4/REOnagfzs+lHOopoDHq0EL6NCCHhdQi8f07VDhrVICEI1BCJawQVRiEGouhBKF0AogMgH3N9j3nNAfnlP2wX4hnR+qKcqOKhMljDFhWqLaEuL7JFfe+MKLD8cBKWfAdUoMN6aAmwGosItN3W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",g=e(4977),H="data:image/png;base64,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",f="data:image/png;base64,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",$="data:image/png;base64,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",h="data:image/png;base64,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",z="data:image/png;base64,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wp0+frul+71LQ8aJX6/0RXsSkFwnrDXb75qEPkp6MltAgpXxZKYXD1bGkuEFHL46YOVwWgIF95aUJ/jn8d4AGWb0mLDjZjVQ6vOjVoj7ySymfU0rhQwOxnUaKE3RMXOGyIKRoRUbwN8J41g8gx8QU/46DGV6TUyweMlg9cKW6EfLE5i+EKCEDkvU3wpF2B0TwgpXuxPQqe5T5azYZ7ejoWDI6Oiri/nRMXKADGjwbPTr8eUADuK2tsFYj49/Pnz8/CfQbN244Roiw2one2gl0O5gwiuBFxG/E6LHjEQn77NevX2/G0vESej3+FyXAbuuuCehCCGybe4uZP+xWsKjyRQ06lvkBK8KNpYsxGzZsMMOJ5Qk+MtwX5Ec5q0cs7dGxkOTUU1rbcP2CDlcK+22wHQFbIxAFKj1Kh7g6dMCEG5vJgmwYi6pt7eqtFeg/YubDcShY/swoQUc8HaeYkDDJLN20hYkdXgIAi3/HyiZ+A5xKE8Jago5QJiCGy2KNKJUWjHD0DyMHZMao4/b4XxLaPXLQpZRfVUr9NAnKQoYoQS9d6ClfdbRO77s9UV8r0OGmbN682XSpADDcFMhYbWUULgxeWvjqyOs00iSl3SMFHVdhFAoFfEggMTfwRgn63LlzTWgwrEspfbWxdXgbk0ZrMhqV6zJr1izT98YLCvcJLon1ItptAbBsCF/9ypUr5tbipKfIQC8u96O1E3XKKErQcQ0FdhfCLcEVEW4TelW8JHAdMEHFSincgqhAh4sFOXEEEC9WJVfEDnSUwXFAa7sv3B3s1QljS4Vbm3nNFwnovb29UwcGBt5m5vd7FSjq/NbQiyEXPWWYCfFxTOawwGJ3cBm9NVwFREkANv4uvYYDL0kUoOMZmBDjlJIVOqw2eXWzqQsvCoCHj4/e/ebNm+be9SROVCMBXQjxc2b+cpgQhVXX8uXLzYZGQiMDyqCHBQCFtUEL9QLy0tNL6EFxiAFA46fS2U1MTHFYGr0jRoRSHx2ugdPEzwpVVgIXgANKjDhWOBNgIrpS7S4aN6BDV7ysGCWtemFLAI9DGEkCPnTQhRBfZ+YfhgVm2PWgQRA2C7Jpyk4mDN84JVQKJsAu36aLfPCL4TYAtvKXLcwFoxUrVhB+kAAfXhwsWNm5Gm5BR52wJerHQpQ1MiH2j5+kpFBBx+dfiAjXSSf6q9PwhzHkli/WBGkUAARocRlRpevbcPDCOnQBwJ1GkVLQnfaaQG7499CnUo8OEPFyA2zI5+aEvhfQLbuhDEKQSNjekMoeHVdcKKVEPd2sC5cCvW3Qa+qsfeZhNmzY4UXo6WWy6Ad0C3jY1cnVCtKp+CkbSo8uhJhRvLToPX6E0GUqW8Dy5d0ACrjQcwMwt7F6O7sHuakrie0ZCui5XO4EEX0piQpqmbQFYIHAoOdyuW8R0fe0ObUFkmyBQKBLKT/JzH9O0gVFSTa2li0+C/gGXUq5iZn/p78mHV/j6Se7t4Av0ItXV5zMyo257s2pcybVAp5Bx+dbpJS4T/GzSVVKy6UtUG4Bz6BLKV9TSuHr0TppC9SNBTyBXrwd9zf6o1x1075a0KIFXIMupdyulMItW7FcPKRbTFsgiAVcgd7e3j6vUCggwrI5yMN0WW2BuCzgCDpi5EKIPxLRi3EJqZ+rLRDUAo6gCyFeZ+ZXgz5Il9cWiNMCtqBLKb+glPplnALqZ2sLhGGBqqDn8/m9Sql30v6xrTCMqOtIvgUqgt7T07NwcHAQe8vXJV8FLaG2gLMFngEdX3+WUr7JzB9zLq5zaAvUhwWeAV0I8QYzv1If4msptQXcWWAS6Llc7gARtbkrqnNpC9SPBSZAb29vf9/4+Dg+phXblc71YzYtab1ZwAS9s7Nz6cjICK50ju0jWvVmOC1vfVnAKF7pjPsRP1RfomtptQXcWwB7y3+slDrkvojOqS1QfxZw3AJQfyppibNkgWPHjrGDvsowjMMa9CxRkUJdHUAfNwzjQGtr6wkNegobP0sq2YD+1DCMz7e2tv4B9tCgZ4mKFOpaBfTBxsbGTx85cuRvlsoa9BQ2fpZUqgD6w4aGhhdbWlpwS8VE0qBniYoU6loKumEYdxobG184fPhwR7mqGvQUNn6WVCoB/VpDQ8PzLS0tZyvpr0HPEhUp1LUI+gUi+vjRo0cvV1NRg57Cxs+SSsePH+9qamr6xKFDh27a6a1BzxIVKdS1ra1t4cGDB/udVPs/YIoD4AHLutsAAAAASUVORK5CYII=",ae="data:image/png;base64,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",ve="data:image/png;base64,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",ie="data:image/jpeg;base64,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",et="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA3AAAAJMCAYAAAC7JUS1AAAgAElEQVR4XuzdBXRU19oG4I+ixVpoC8Xd3d3dIWhwh0Bw9+DuGiTB3d3d3d29QkuxQoHef72b/0xHzijJJJO8e6277rrJ0eeccOedvfe3I6TPWvt/wkYBClCAAhSgAAUoQAEKUIACoV4gAgNcqH9GvEAKUIACFKAABShAAQpQgAJKwBDgHj59ThIKUIACFKAABShAAQpQgAIUCIUCSRP+zAAXCp8LL4kCFKAABShAAQpQgAIUoICFAAMcXwoKUIACFKAABShAAQpQgAIeIsAA5yEPipdJAQpQgAIUoAAFKEABClCAAY7vAAUoQAEKUIACFKAABShAAQ8RYIDzkAfFy6QABShAAQpQgAIUoAAFKMAAx3eAAhSgAAUoQAEKUIACFKCAhwgwwHnIg+JlUoACFKAABShAAQpQgAIUYIDjO0ABClCAAhSgAAUoQAEKUMBDBBjgPORB8TIpQAEKUIACFKAABShAAQowwPEdoAAFKEABClCAAhSgAAUo4CECDHAe8qB4mRSgAAUoQAEKUIACFKAABRjg+A5QgAIUoAAFKEABClCAAhTwEAEGOA95ULxMClCAAhSgAAUoQAEKUIACDHB8ByhAAQpQgAIUoAAFKEABCniIAAOchzwoXiYFKEABClCAAhSgAAUoQAEGOL4DFKAABShAAQpQgAIUoAAFPESAAc5DHhQvkwIUoAAFKEABClCAAhSgAAMc3wEKUIACFKAABShAAQpQgAIeIsAA5yEPipdJAQpQgAIUoAAFKEABClCAAY7vAAUoQAEKUIACFKAABShAAQ8RYIDzkAfFy6QABShAAQpQgAIUoAAFKMAAx3eAAhSgAAUoQAEKUIACFKCAhwgwwHnIg+JlUoACFKAABShAAQpQgAIUYIDjO0ABClCAAhSgAAUoQAEKUMBDBBjgPORB8TIpQAEKUIACFKAABShAAQowwPEdoAAFKEABClCAAhSgAAUo4CECDHAe8qB4mRSgAAUoQAEKUIACFKAABRjg+A5QgAIUoAAFKEABClCAAhTwEAEGOA95ULxMClCAAhSgAAUoQAEKUIACDHB8ByhAAQpQgAIUoAAFKEABCniIAAOchzwoXiYFKEABClCAAhSgAAUoQAEGOL4DFKAABShAAQpQgAIUoAAFPESAAc5DHhQvkwIUoAAFKEABClCAAhSgAAMc3wEKUIACFKAABShAAQpQgAIeIsAA5yEPipdJAQpQgAIUoAAFKEABClCAAY7vAAUoQAEKUIACFKAABShAAQ8RYIDzkAfFy6QABShAAQpQgAIUoAAFKMAAx3eAAhSgAAUoQAEKUIACFKCAhwgwwHnIgwqrl7lu+Vg5d+GGTJiyRN68/dvmbf74w3eydtkYef3mnVTy6uI0SbnS+WX00A6yZcdh6ec3U3f/+nXKSbvWtWTJiu0yc84ap89hvkPgrIHqR83aDvnqYzlzgHkz+0vxIrnEt+sY2bbzmO6uFcoWkGkTesr+Q2ekhc8wZw4fYtvu2jRNdu09IVNnrZS///7g0nWULJZb/Pq1kgOHz8mAIbNsHuPSyWXy+fO/UqFGJ3n2/HeXzsedKEABClCAAhSgQFAKhMkA17dHM8mUIYVLTjduPZQhI+da7JstSxqpXKGIS8c032nrjiMqtNhq7j5f6lSJZeGcwS7f36dPn6Ro2TZO7Z87ZwY5sMNfnj77TdLnqCOfP3+2uX+Cn3+U25fWysu/Xkui1JWcOhc2rlWjpCyY7SfLV++0Gljm+w+S2l6lpEe/KTJj9mqnz2G8Q4QIEeTNrwfUj2LGKyb/+9//TI7n06qmlCyWx6FznL94U4aPCXBoW2yEoIvA2rDFQFm3cb/ufjWqFpfF84bIjt3Hxcu7p8PHxoaJE8WTvLkzObWPtY0vXLold+4+tnusXDkyyMGd/vLq9VvJkqeeZEhn/2/88LELFu41q5eUhXP8ZMPmA1K/2QCr59Xet7dv/5b4KcpbHMfuBdvZIHPGlJI7Z8avPYzN/U+cuizXbtwP1nPw4BSgAAUoQAEKuFfAowJc7FgxJE6c2DaFEAY2rBwnxQrndEny2IlLUrpye4t9G3lXkFlT+rh0TPOdOnYfL/MWbLB5LHefL0umVHJ8f6DL9/fhwz8SN3Fpp/afPrGnNG1YWQYO9ZfxU5bY3dcdAe7O5XXyc/wfpHj5tnLqzFW712RrA3sBbsakXtKkgWNBdPe+k1KtTneT0yVJHF9KFM2lewnt29SWzBlTyZzA9XL2/HXdbXJmTy+tmlWXy1fvyHT/Vbrb7Dt4Rh49/sXid3W8Skug/5fexa9tjoblscM7qt7RgIWbxH/eGjlxYL7dU+OdTJEsgcSMGV3OXbipviRwNMAhACMI4z3A+2CtZUyfQrJkSm33WrbtPKrCp9Y6t/eW4X4+dvf7mg26950cJD3JX3MN3JcCFKAABShAgaAV8KgA58gHnoIlW0ikSJHkh7iWQe+bb76RFQuHC/67TqO+uj0+f758rfvBXQtUl67ckWUrd7j0FLyqFVffuDsT4Nx1PtwQAoezLW6c2PLwxiZxNsDFiPGt3L28Tj2LtNlqCty1VrVSUfnxh+8tLuX772LK0IFt1dC5nv2n6l7qjVsP5MixC7q/s9cDlyZVEjl/fIn8889H1eOC//6a5miAQ4A5cOis7qkypE+ueg31AlyVikVk+YLhX3OJdvet16SfbNp6yGK7PLkySosmVe3u78gGK9fslr0HTtvcFO8Jel/jx4srJSr4qOGMY4Z1kG++iaB6xvH+oSfRvDVqOUi2rZssBfNnlWTpq8jvL/5yOMB179RQBvdvrb5swd+stdara2MZ2Kel3VvNU6SJXL1+z7BdqeJ5pFrlonb3wwaVyhdWXyxs33VMnjz91aF9sNHqdXvl4JFzDm/PDSlAAQpQgAIUCP0CHhXgEKI6+NRVqlEiR5Y0qZPIv//+azJEqGHzgXLz9kNd+XRpksnZo4vk+s37kqtQY6eejhbg1m7YJ/hQ6EqbNqGHNGtUxakA567zuXI/2CfO97Hk8a0tTge45o2ryNTxPWTu/PXSqccEk9Mf3j1HcmRL59IlBSzcKB26jdPd116Aa9GkmkwZ100Ft4uXb9k9P+ZQofdQawhsR/fOM/nf6NlEQxDXhlCeOnNFvQNaD1zdxn1l87bDuudDL9mhXbN1A1za1EnFq1oJ3f28a5eV1KmSyJr1e01Cg/HG6DlCb9TtO49k2aqdusfB+2ft78kuUBBuULpEXtWzjoCes2Ajw5FhcO7YYrl4+bYUKNFc94yYN+dKgFswe5DUqlFKOvUYL3PnW+8x1wLcmXPX5MKl2xbXgKD904/fi3mAc4ZHuwf0wiLMs1GAAhSgAAUoEH4FPCrAGT+mpEl+lmtnV6ohSQlSVnDoCeJD7dwZ/W3OgbJ2oPAQ4KJHjybohXKmYVjr9g1TnApwkSJFlPPHlkiypD+rD+O37jxSp8Sx8Dx929aWxAnjW1wGeu0Q/NDbMjtgve5lnjh92TDnCx/uC+TLYtgOc+6aN66qelgDF20y/Hz56l3qmEsDh0q1ysUcvn3MLcMcM62hl+j1L/rzzYwPit6mKrW66ga4ti29lMOYiYvULrYCnK0LDe45cA4jBdGGc6b3ExSYQfGZSdOXGY5at2YZCZg1QGx90eFogMPfON4PrSHgYuglAuxLox5i7fe1GvSWF3/8JVqAszYU+MCOWarnnQEuiF4GHoYCFKAABSgQzgXCbIDDB3HMrzJuqVIkklQpE8vde0/ktk7RhNkB6wTzVPRaeAhw+fNmlj1bZrj0J+HMEErMu5o0pqsKUb5dx6rzIfycPPhlTlOF6h3lt99fWlyHs3Pg8GF86njTeWN6N5c8Q1VBOLxwfIl8/PhZ9eSgUIq1hiC4eslo3dCQKGE8w24Y3nf93Je5Zelz1JZ///1SxOTDhw9qKJ9eD9zFE0slYYKf5MekZdS2zgQ4BONPn74UgglLAQ4FUxD4I0eOKGmz1ZJffv3DYDxqiK908Kkjoycs1C0+hA0dDXCODoXUTp4kbWX5489XHhvg0Dsc6P9lNEHztkNULyYbBShAAQpQgAKhXyDMBrhO7erJiMHtnHoCXXtPEv95a3X3CQ8BLnmyBOLbpo5TZlGjRjH0ijlSxOTbb6PK5VPLVWDKmtdbfv3tT3U+zXfrjqNSu2Fv3WtwNsBhnlb1Kv/1qKGwDYZmYggt5hJpbcTY+TJycDvBEMpps1ZKrwHTbBpgOB5CAYYnNm7lZ3VbR+fAGQ+hdDXAoXcZpfGb+wxTcwBhFSNGNHn2/IWgiqJewzNI8PMP8vbt+1BdIn9JwBCpXqW4GuqZLX8Dk1vZsWGKFC6YXRU2OXD4jMnvrl67p4aPOhrgMMwRc+zQUB105JD2qlps244jTY67fsU4wXuPAIfmzh44zN3dsl1/uK1Tf7giargw3nm0hUu3ik+nUc4egttTgAIUoAAFKBACAmE+wGG4lbXhdpp3t4711QcZRwLc+/cfTApuOPPMvosdUzBM0ZkiJu46nzP3Ybyts3PgtMIQWH9rwtSl6lAxY3wrpw8vVGEib9Fmap6TXnM2wJkfAz18mTKktBhCi+NePbNCzafMlLuePP/lhU2OQgWyyc6NU2X1uj3SpLX1pRfcGeBmTektjbwrqsI8fsPnGGxxI+hpcabYCYYFWlsSAj2C6OkLjobeQ/OKmcWL5JQtayep05kHOPg+u7tNYsWMrns5w8cEyoixgQ4HOOODTB7bVVo2ra6Gsg4eMcfwK/z9/np/h6A8f6lKX6rVujPAvXv3Xqb5r5KJU5eaVLR05Xk0qFteZk/rq3ZFSF20bJsrh+E+FKAABShAAQq4WSDMB7hBw2bLuMmLFSuG6aGSIRbm/evVGwM1Kht27VDfoQCH9c7ev//HpccULVoUVSHTmQDnrvO5dENOFjEpWyqfrFo8Uj0HfFhEGXzMucMQOXwYR8n7zj2/FDTBB3f01hm3H+J+L/5T+6gepSatLXu+Xv71RrAMhF7Dmlta2XkUFClevo3hOY4e6iu+beuocusou47elfUrxqoKfnrLPRQpmF3N+0P1RFsLdLszwOGesSTB+JGdlRuGA+MLCRRO0dZPQ7iDkbWG54JAjl7RFBm/9MyYt0c3NwsqjwZHw3BErVcLx48YMaKcOBAoGdIlV6czD3Ba1VAMqZy3YKPhkvLkyiBlSuaT/oNnysRpy1wKcJhfi3m2lWt2ESyloDVt7cIFS7ZIu86j1Y/dGeC064DV2ImLZNa8tV9VLTVr5i/LH3D4ZHC80TwmBShAAQpQIHgEwlWAS582mZw5ssjig6AzAc5dVSHdNWRz1eJREjHiNy6/XZEjR5KSxXKr3qtdey2r49Ws38tQfbFMybyC4Wdaw7w59PZgzhf+O1u++obeTe0DtDMXdvrsVSlWTn+9Lu0Za8dDaXzvpv3VtWEuWr1aZSRjrrqq901bJ2zV2j3StI1lDxuGYm5dN0lWrNklzdsONVwievLSpUlq+N8IRJtWfwmkKFoCI60dO3lZJo7uokKX8RBK9ATGjfud/JyivNrUmTlw2vao1oiQ5Td8toydtNgQ4LCgc+7C1quvYh8ENFsBbs3S0arIiiMtb+6M6gsLVGf88MH+kgwoYIP3RWuY24Y5bq/fvFO9bOYBrk0LL5kwqrNMmbFC+gyabthv5uTe0rh+Ralau5vs2X/K6QCn/TuBaqQJUlUw+cKmWaPKMm1CT+k7aIZMnrHc7QHOt+sYKVY4l1psHu3xk19k8Ii5stTFpU0ceY7chgIUoAAFKECB0CXAACei1hZztAcurAW4v57tVR+yg6vFil/cEFzQM9SwXgW5c/exKiKDBaIDZg6QOjVLS/suY2T+4s2Gyxg/spPuWnC2rvPu/acmw92Mt715YbWad/f9d7FUgRTMd5o1d4106zNZ9Vhh+CF6rdC0AiDWSrZj8ezNaybKkhXbpbXvCMNpHC2agh1Q1KRP96YWAe7Fo13y6PGvkr3Al7lejgQ4LI9hPOwUvY19ezSTVr4jVG+l1gMXFAHOmfcE6wP+EPc7SZe9ljx+4vjaZdo5ECYR3Dp0GyuzpvQxCXDoJb10cqmgaEzh0i3VIt1awxzLFMkTSuI0ldQXAo7OgdP27+hTV81/23/ojFTy6mJyy3gv27asKbUa9JJtO7/Mo3RnD5z2TqLgEBY2x/uBhp7nzj3Hy+Wrd515RNyWAhSgAAUoQAEPFGCAC+cBDr1GjjT0LGEuEsJXuWoddXfBkEEsoI4Ki1rDgsvWWvkyBQQ9OidPX1GLMwdXw4LJG1eNV0MkfVrVVHPgMIwWc4CMe1JwfiyWjLCH606fo47qocPPjOfFaWuSGQ+jw77oYWzdvIbhNjBfqniRXGrh8X0HTReqxvC7wf3bmAQ4hB2EngOHz0rFGp3VcewFOPQcYh4TljRACH6jU7DEUwPclrUTZffek6oyrHnPefs2tdVC3ua9cto8yXv3n0rmPPWUobMBDuEcIR3DeTGs17hhTT48k0y568r9B89CLMBp14SexuF+7VSPK4bI4h0fNjpA9VqyUYACFKAABSgQNgUY4MJ5gNNeayy7kDZ1EjXkTq+h+AeKgJgvpGy8bd8eTdU6WrUb9lHV+2w1FC45c2Sh6mUrUKJFsC0WjXlUx/bNU0Fs7KRFsmC2nwpwmId4bO88SZkikdRt3M9Q2U/rTRk2ep6MHLdAzYXLlyezmhOmzX2sULaAWkbA1qLhuHdtWYYLl25JwZItLDjMlxHAfKRj+wLUcLhW7Yc7FOAQJhbPGyzJkiZQ4RpDELV19bQTBmeA09bu03vWtnrgcN2//f6n6oW11nDdGH5pPvQZwfjK6RUS76c48ubNO/UsMZwVrY5XaQn0H2hSIdSZAIde2sc3N6tCLWmy1jQJ7igGc3x/oJg/z5DogTM2Q2/ymGEdVU82Gr58wFzO9ZsOhM3/1+JdUYACFKAABcK5QLgKcCiGgGqHWJg3R4GGhkfvzBBK9AZohTacfXeGDfRRc1ecKWLijvOh5+fs0UUqTO3cc0Jathum5qQZN3sBDossY7FlzBuq06iP7nw44+NhQXWUvjfvAUMvHuaOoTdhcP/WDs/PQ48aCtaYN20eVZdeE+WPP/8yBLgWPsNUMNu0arwULt1KvRMIe9fOrlCl5NNlr60+vOMaUDmzUctBat03tCoVi6iqjhhyieNaa5rJ7n0nBUPfzJt5gNOCIYruaPdirwcOx0R109nT+kjlCkXk9xcvpUa9nibVHIMzwGG4YqxY0aWSV2eL4XvWApy2DiDebSyGba+ZBzitkikKeeCLgChRIsuiZVtV0ZZRQ9qrirLG75UzAa5S+cKyctEIefDwmeQo2Egt8K61qeN7qCUzzP9+QzrAadeHIkGTx3ZTxVd6DZgq02Z9WYOQjQIUoAAFKECBsCUQrgIcPuCsWz5WzD9QOxPgguLxOxPg3HU+fOhbNNdPcufMqHpyqtTupj7Eak0bhojqnYVKtRQMUdMa1lqb7z9IsHA11kWz982/FqqwFht6jLD+HAqhlCiaW4oVySnV6nRTc5pePt0rKJLiSENwjJPoS2EHrWHo4/njS9QcvPTZa0vZ0vlMAhy2Qzi4fvPLsgVe1UrIormDTapLapUOt+44onoWjbeb7r9KevafavXy+vVsLuiVxPlRrRJVLY2beYDr1rGBDBnQRoVCbT6eIwEOx0TwnTSmiyp9v37TfmnQfKDhVI4GOG07BNdUmf8bCmrtBrUS/+hFy5Dzy3BT42YtwGH+2vlji1XQsDbP0Pg45gHu6N55ki1LGsGaaOjFWxo4VK17hxAe/duoal4cCtI8fPRcHcaZAIdethULR6geTcwZbOEzVPW4ISTfvrRWPUvYGA9VDS0BDveK3slmjarIjNmrLZ6HI39H3IYCFKAABShAgdAvEGYCHD7Aocfj4uVbqvdHW8jbeBkBrTiB+WLNzgQ4lCy/fPWOS08WPYCouOhMgHPX+XBDGDaGXgbMq8EwLPRM4cM85lnh5/hwiIbKd2WqdBBcG0rwo0fl48dPag4WCnvYatgWhSDQy4aglz1rWlVwQmv40F2pZhe5e++JIcBhOKF5ODA+B+aAYQ0x8wC3YPYgqVWjlPQeOE2mzlwptWqUtAhw2nEQgE4dWqBK1mO4Iz60Y2hanlyZZObkXuoDfMpM1QW9PnVrlpGAWQPUWmtYz85aWzxviNSoWlz1Zn4XO4bUa9JfzefSGiwQgiZMXaaGCmrBBAUynjz9TYXkH3/8XoYNbKvKvI+esNDue9e0YWVZtmqnSc+RtQCH+xju56Pm6P39/oOkTplYLaFgXl3T2kkR2tGjPHxMgGAxdPNmawgl9sP+WFQda/+hx9VaMw9weD+LF81lqACKoI4Qhx5VNPMvaJwJcNgfzxrPHMOK8V5jThm+IEBhE71hs6EpwNl9QYw2wPuNLxnQsF4eqo+yUYACFKAABSgQ+gU8PsDhg9XBI+dUDw5CAYpDoLiEXoDTejzMKx46E+DCWhVKvVd0xOB2EjlSJOnrN0MVikBhDq2UO3rgEHb++OMv1QuROWMquXLtrhp26chaUncur1NFQbSGde6On7ws6I3Df9DroTWtBy5mvGI2Axwqaf777/8sAtzuzdPVsNDcRRqrgGcrwGnhHqEUBUfy5c5sEixxTVpRC62UvLXggm0xHPPB9Y0SO1Z0yVWosaxYNEKSJflZvLx7qSIl5i1t6qRy7thiuXr9nmzcclB6d2uievzQ8+dMwzpuGE6KkvxasxbgEJzPHF6ohiDimSKsoOz+oGH+dqsZ4jx4lughRe+bXpVJe1Uo92+fJXlyZZRufSbJrLlrHQ5wsMXQSeO1HHEdpw4ukDSpk0jDFgNVURetORvgtP2wTMHIwe1UqMUXCDDSwr3xxXpqgDNeWsN8KQZn3jluSwEKUIACFKCAewU8KsDhg2a+3JnUt++lS+RRw/20hp4iFKeY7r9anj77zSLAYRFtzNdBT13x8m3l1Jmrhn0Z4CxfOgxDWxIwRH3ARjn10eMXyrb1k1URk2ZthqihqJgrtvfAaTUMEkHakYb5SwkT/KjCHv5z9fpdqwujf22AQ5VJzHvTyr3bCnBa6XntHjCMFF8MHDpyXu4/fCZ7t86Q4ycvSalK7aVd61qqhLu2ULTefRfMn1UN3dNK0SMsHdjhL1GjRJbKtbqavH/YH2X/+/VspuZuxY4dw+UAN3lsV6lTs4w0bjnIMA/RkSGU6H1FQ9B1pPm2rS2jh3ZQcyZr1Ouhu4u9AKcVeUEPJZZVePfuve5xrK3faLyxVhkUS0SkyeqlwujXBjjsj6GaqEqJKo84JoZ8mgdwTw1wPbs0kkF9WykmW19GOPI+cBsKUIACFKAABdwn4FEBDkPl8KFca+gV2rHrmKrah2GTxgsl58iWVgoVyCbHTlxWw9M6t/dWw8XOnr8uRcq0FgS6PDkzyqGj56VAviySK0d6OXj4nNVeJHctrK3dm7vPZ/zKVSxXSC1ujSFWk6YvkwFD/NXQQuMqlJi3tmnVBFXFMWDhJukzcJpuCfuveZW/NsChp8Z4aJ6tAIf5ZxgiisXAEe6Nl0LAPaBiJoYYps7iJRim6NevtSqa4T9Pv+cIvZjoBTYeLot5hKhq+dert1K2iq/qbUNLnSqx7Ns2Sw2zROVD9Hi60gOHeVsXji9R94xeMW1InCMBzvw57dkyXVWz7NF3ikVJ+h9/QNGbxWqNN+NFyM2PYS/AYXssiI6F0Xv0m6Lmbek1ewEOf8unDy1UPabGQ6aDIsBpf4fasWDbf/AsmTJzheFSPTXA4X3Hu4yGNRitBeiv+RvmvhSgAAUoQAEKBL2ARwU4zJsZ1KeVmkeE/yB8GX/Tbo0HQ/YQPvCBs0L1Tmo/rAuGtZ4wrwhzXGzNscJx3R2o3H0+3CPK2I8Y3F65YAHoNh1HGoai6VWhRMBDT1yObOlUwYi2HUfpDg909LXFAtSoAoj5dwuXbjXMgXN1CKX5eW0FOHvXiDXeMLwTQwVHDfEVFGJp3naooXy98f4YXnj17EqJET2amjdnHAZR1KSLb33JU7SJWkcMpfD3bZspyZMllMXLt0mbDiNlQO8WugEO66IdPnpeLW+g12ZN6a0WJNcWKNe2cSXA/f5wl0SNGll+SFLGondVqyCKHkr8PVlrjgQ4bS1AFELJlLue7lw4ewHOr18r6dG5kVq6oli5thbHwLxThDx440uemtVLysI5frJh8wGp32yA1evH3wHebwzPxNBsDBdG7ysavjTCz/DvjxbgsEyF3lBQLAyPnrw8RZoYQru9983899owUEeKvjh7bG5PAQpQgAIUoIBnCXhUgMMcFHtBy5wfQ6tQ3h4flHfsPi5e3j3VJuVK55f5swcJ1rHCz5u3HSIv/3pj9ekZBypUWnSlTZvQQ33j7UwRE8y5C+7zIeBiKFXDeuXVPEL0Urb2HWEyH83aMgKYi4SeURR8wLPBh2IUtMC8OHsNH6xzZk+nAiN6/VCVEE0rDvK1PXBBGeCMj4UlBLCUgLUP07DE8LR9B89I5ZpdTC4D7zDuF0NPsebYjg1TVABGMEPlTwxFtRbg/nyyRxXpQUgxb6ieeGTPXDUXEAtYG89JczbAoVf10sllao02DG00bphrumn1BBVc8hVrpobUWmuOBDjsi97N9GmTq3mUKMBi3mwFOBSJCZw1UL17qI6q9WraevccCXCo/onAjH8fxk9ZIgOH+qtDIsChcA/+TrRiKVqAs/e+M8DZE+LvKUABClCAAhRwRMCjApwjN6Rtg8DW2ddbUJwCH5rRY4dqhn++fG04DD4YYkFmDL1CNbxKXl1MFu41Pp/5UCpnrsV8W2cC3NecR9vX2vm+/TaqdPH1VsNLESZg4zd8tsxbsNEiKKN37MQB6wt544P9mOEd1VBLfJhGEQlUtjMuSpIqZanw51QAACAASURBVGKpW7O05MiWXgU342ImCAToGd287bAKgZjTqAU4BDpbwb1rh/oqUJhXoTS3+5oeOO1YCJmXTi6VSJEiSbrstSyKd+Aej+6ZqwqDlKjgI+cv3tR9hFiyANUlMewRYbdMZV9DUQ4twHk37a8KmqBpyxmsWrtHmrYZbHJMDBU9uNNfVfTEkE4M7TRu6P1BhUsMkUuWoardoXLa8gfmARS9WCgUgoCH3ia/4XOsvp7otXp6e6salqrnZLxjkwaV1JBdOOQt2tTimNYCHBaNx5w/hCm9oZPWLg7DsPGlg7UeOFzPhFGdJVq0qMofz8G4Va5QWFXQxGLZGHqoBThUKH1p9O+Ltk+ihD+pQigMcEHxrxmPQQEKUIACFKBAmApw+JCED1dYTgBD3rQ5UINHzFXfous1FCfAECcU60Dp+openVXPg3nTAhyqJr5//9/ivs68QvgAjA/+zgS44Dwf5jLdOL9afbjE8D0U5TAe7ofetbfv3qvwpFVePHbikpSu3F73tuHdunl1VZpcVSm8+1iy5W9gCF9YL25JwFC1L46J3puTp6/K3gOnZOfuEyZVBbHN164D97UBDr0vJYvnVs8bpfYzZUypelDRG6nNpTQ+R6yY0WX/jlmqN0lbusD8GtCzg8qemHeJhuNgPTMMG9UazjF9Yk/VK4ceKRQYaVivgnpH9QqnaMUocIycBRuZVKDEMRFwUDESX2pgaYLDx87rFitB6EyVIpHkz/vl2jr1GC9z528wXBf+VqaO7656DHMWamTyd5A3dyYplD+rWo4AvYhFC+VUSwygqifmDRrPTzU3wXkP7Zqt1q8bN3mJxbBovQCnLeaNY2GeZj+/mVb/FNW6cOmTqzmaESN+o4Zho8iMeQjFdSC4YR01tJVrdkvbTqNMlmTQToLeYxRLQvPUOXDO/NvFbSlAAQpQgAIUCD0CYSrAYW0urG2Fhjlcq9fvVQsiW+sF0R4DPqhvXjNBMNQM63+hVLh5c/ecNHedD8U7jhy/oEr5m7cb51dJ4kTxVY+NtgbckJFz7a5HhrmGA/u0kD37Txt6kHBs9NzUq1VWTp25ooKbcRl4vT8JLcBhXpitHjjM/dJbB878mM72wCFwP7uzTfWmGTeEkkpenU16F/H7wf1bC4KFtcqMCMpXTn+phIoeRvQaITibN1T3vHpmheoBMm6o1oheHJxfawg3x/YFqGs0L59vvC8KqvTu3kQNCXSknTh1WQ3pxN+ReUOQQ2+TcatQtqCsXjLKYlt7a+U5ci16AQ4BFz1lvQZMEyyobqtpi6Gbb5O/eDO5dOW/NR3xpcPh3XPUUF586TNu8mJHLk9QnAZz+bDkA3otzRvmSyZN/LP6EgnP3ZXGOXCuqHEfClCAAhSgQNgUCFMBDt+0B8zsrwpL4NtzfOPuaMPivYvmDVY9HHrrmaFnb2CflmreC0q9u9IQliqWKygTpy1TQwVtNXefT+9a0FOEJRvQ0KuyZfth8Z+3zuLDuysWjuyzavEo1ftkrUy9dgwEBwQ8rJtmq6HXq3P7emqo5rRZtj/0a8dBzyPeKwQkGKCXdsOWg7rBBoEPywsg5KKcvV7DnC30YI2ZsNDm+4nevErlC0ncuN+pw1y9dlcOHb1gUaDj++9iSpcO9SVFsoR250piWGOBvFkMYVzv+lDZFT1L6KlzpuE6tJ4r7Pfu7w+yc89xp4+jd04Mcd6wYpxazqFq7W5qE4Rc9KIZr/dm7XrRMzxpDOYiRlCbPHj4TNZu3KeepXlD7yoCnPGC6844BNe2GLKJYcfoETx6/GJwnYbHpQAFKEABClDAAwTCVIDzAG9eIgUoQAEKUIACFKAABShAAZcFGOBcpuOOFKAABShAAQpQgAIUoAAF3CvAAOdeb56NAhSgAAUoQAEKUIACFKCAywIMcC7TcUcKUIACFKAABShAAQpQgALuFWCAc683z0YBClCAAhSgAAUoQAEKUMBlAQY4l+m4IwUoQAEKUIACFKAABShAAfcKMMC515tnowAFKEABClCAAhSgAAUo4LIAA5zLdNyRAhSgAAUoQAEKUIACFKCAewUY4NzrzbNRgAIUoAAFKEABClCAAhRwWYABzmU67kgBClCAAhSgAAUoQAEKUMC9Agxw7vXm2ShAAQpQgAIUoAAFKEABCrgswADnMh13pAAFKEABClCAAhSgAAUo4F4BBjj3evNsFKAABShAAQpQgAIUoAAFXBZggHOZjjtSgAIUoAAFKEABClCAAhRwrwADnHu9eTYKUIACFKAABShAAQpQgAIuCzDAuUzHHSlAAQpQgAIUoAAFKEABCrhXgAHOvd48GwUoQAEKUIACFKAABShAAZcFGOBcpuOOFKAABShAAQpQgAIUoAAF3CvAAOdeb56NAhSgAAUoQAEKUIACFKCAywIMcC7TcUcKUIACFKAABShAAQpQgALuFWCAc683z0YBClCAAhSgAAUoQAEKUMBlAQY4l+m4IwUoQAEKUIACFKAABShAAfcKMMC515tnowAFKEABClCAAhSgAAUo4LIAA5zLdNyRAhSgAAUoQAEKUIACFKCAewUY4NzrzbNRgAIUoAAFKEABClCAAhRwWYABzmU67kgBClCAAhSgAAUoQAEKUMC9Agxw7vXm2ShAAQpQgAIUoAAFKEABCrgswADnMh13pAAFKEABClCAAhSgAAUo4F4BBjj3evNsFKAABShAAQpQgAIUoAAFXBZggHOZjjtSgAIUoAAFKEABClCAAhRwrwADnHu9eTYKUIACFKAABShAAQpQgAIuCzDAuUzHHSlAAQpQgAIUoAAFKEABCrhXgAHOvd48GwUoQAEKUIACFKAABShAAZcFGOBcpuOOFKAABShAAQpQgAIUoAAF3CvAAOdeb56NAhSgAAUoQAEKUIACFKCAywIMcC7TcUcKUIACFKAABShAAQpQgALuFWCAc683z0YBClCAAhSgAAUoQAEKUMBlAQY4l+m4IwUoQAEKUIACFKAABShAAfcKMMC515tnowAFKEABClCAAhSgAAUo4LIAA5zLdNyRAhSgAAUoQAEKUIACFKCAewUY4NzrzbNRgAIUoAAFKEABClCAAhRwWYABzmU67kgBkWjRokiSRPHl7bv38vTZbyShAAUoQAEKUIACFKBAsAowwAUrLw8e1gUmjekqrZpVl35+M2XS9GV2b3fWlN7y+vU7GTd5sfzy6x9q+2qVi0nfHk1l3oKNMjtgnd1jOLJBlCiR5fDuOfLw0XPxbtpfPn78pLtb9OjR5MT+QHn4+LlUqdVN/v33X0cOz23+XyB/3swy33+QwfnFH38Fi82330aVvLkyycEj5+R///uf4RxdO9SXJg0qydRZK2Xu/A3Bcm4elAIUoAAFKECB0CXAABe6ngevxoMEsmRKJUf2zFW9b2mz1pTXb97ZvPoEP/8o18+tlEiRIkmuQo3k+s0Havtl84dJ1UpFpUO3sRKwcFOQCBQqkE12bpwq5y7ckMKlW1k9ZoWyBWX1klFy4tRlKVmxXZCc2/ggfXs0k0wZUrh03Bu3HsqQkXMt9s2WJY1UrlDEpWOa77R1xxFl5Er7LnZMOb4/QJIm+VmmzlwpvQdOc+UwFvugVzd50gSSMkViyZcnkxQpmF1yZk8vkSNHkso1u8i+g2cM+xzYMUty58wo9Zr0k01bDwXJ+XkQClCAAhSgAAVCtwADXOh+Pry6UCywff0UKVIou0yctlT6D55l90oH9mkpvbo2ll17T0j1uj3U9rFiRpf71zZI1KhRJHUWL3n+ywu7x3Fkg97dmsiA3i1k5Lj5Mmx0gNVdJozqLG1aeMmo8Qtk6Kh5jhxabRM7VgyJEye2ze0xpHTDynFSrHBOh49rvOGxE5ekdOX2Fvs28q4gs6b0cemY5jt17D5e5i1wvucKPZcrFo6QksVyy/v3H6RNx5Hy9u3fdq/pt99fyumz1yy2S54sgcyd3l/w3z/H/0EiRIhgss3nz5/l0pU7MmHqUlmzfq/6Xbyf4sjdK+tVj1ziNJXlr1dv7J6fG1CAAhSgAAUo4PkCDHCe/wzddgd5cmWUscM7yi+/vhDfrmMFH0ZDW8PQwX/++Rjsl5UjWzo1RBHnypirrjx7/rvNc+K6bl5YIz/9+L1Uq9Nddu87qbavX6eczJneTzD0bsKUpQ5f9937T2TjloNWt9+8ZqKUKJpLSlTwkZOnr1jd7tLJZZIyRSIpX62jHDp63uHzd27vLcP9fGxuX7BkC9Xb+ENcy6D3zTffyIqFwwX/XadRX0FAMW9/vnwtp85ctRrgEGiWrdzh8DUbb+hVrbjquXIlwH3/XUxZt3ys5M2dyelz79xzQmrU+xLejRuGSP5yb7tEjBhRXr1+K69evZHEieKr3kG/4XNUD6l5D2/j+hVl5uTecvb8dSlWrq3Na0HIMx566fSFcwcKUIACFKAABUKNAANcqHkUof9CVi0eKRXLFVIX2mfgdJkyc0WouejcOTNIzy6N5Omz36VzzwnBfl344IwP0IuWbZW2HUfZPV+DuuVl9rS+cu3GfclduLFh+7XLxki50vnt7m++wdYdR6V2w94mP44UKaIKAJEjRZR7VzfIh38+StpsNeXz5//mtSFwah/kEdwQ4N69ey+J0lRyKviiF6yDT111/iiRI0ua1EnU/Dncn9YaNh8oN28/1L23dGmSydmji+T6zfuSq9B/Ho5AaD1wazfsk0YtBzmyi8U20yb0kGaNqjgd4PAlxpxp/dT9/vrbn7J522GHzl+pfCGJHy+uLFmxXVr7jtDdJ0O65OqLgJd/vZGypfKpkLh89U5p4TNMd/vlC4ZLlYqODSX9489XkiRtZYeulRtRgAIUoAAFKBC6BTw2wBUumE1mTuotsWPHkOFjAoOs+IP2uFo3ryH9ejaTV6/eik/nUXL46IXQ/STdcHUotNGvZ3N1pgrVO6mCCqGlTZ/YU5o2rCwBCzdKh27jgvWyMHwQQ9dUYYmiTeXKtbt2z4feOvTate8yRuYv3qy2T5jgJ7l2doV8+PBRJk1fbvcY2CBv7oxSpmQ+NdwRwx6NG+ayYU6brYberi3bv4QO37a1ZfTQDg6d9/TZq1Z7eTAH7NrZlarnKEHKCg4dz7t2WZk7o7/NgGLtQCER4DAvDUNgO7Sto3oNMbyzYYuBDg15xfxGzHPEEMfchZs4VK3UXoBLnSqxnD60UBDa39gYuvlNhAgSI8a38uDhM9VTzEYBClCAAhSggOcLeGyAu3xquaRIntDwBFDsYPSEhUHyRDBPCR/WtHb33hPJktc7SI7t6QdBcYxff/1Dbt15FKpuxZ0BrlL5wrJy0Qh59PgXSZ+jtl0H9Fqi9/L3Fy8lbbZa8uHDP2of/6l9pGG9CjJ20iI1TM6Rtm39ZClaKIdkz9/A4hloAQ7z6LRzaMf88Yfv1Qd5LcAhfKL3DYVV0ANnbXhdxIjfSLRoUdVQxuLl9Yfp2QtwqLKJcG3cUqVIJKlSJhb8bd2++9ji1lGNc9vOo7ok7gxwmJvYrFFl6daxgQrcaNNmrZS+fjN1h32aXzB6Gg/s9FdzHY3Du71nbS/AaT230/1XSc/+U60eDl907dgwVVas2SXN2w61d1r+ngIUoAAFKEABDxDw2AB3/9pGNZ/IuOn1Sjj7DLTiD8b7Ya5X8gxVnT0Ut3ejgDsDHOYBtmtdSxYv3yZtOoy0eZcYNnfiwHz1rq7buF/12qBlz5pWzaFDr0zGnHVNClCghwdfTnz69Fn1nGgtbeqkcu7YYrl89Y7kK9bM4rxagNPrHQ2YNUDq1ixjCHA9OjcUv36t7Vaf1Ob6YR4d5tPpNXsBrlO7ejJisHMVLrv2niT+89aGaIBD8RW4oagI2oVLt6TvoOly/NRlQXXNNKmSSJdeE632wqFK5f4dswTPbdmqndKynf5QSBw7bpzYkixpAsP9YnmCcSM6CebMGVfivHj5tpQtlVdWLxmthlvmKNDQZvXTIQPaqPCJYcVzAte78S+Sp6IABShAAQpQILgEPDbANW9cRaaOtywGMHxMgIwYO98lL+MhgsYHCMry7sbHxQffOl6l5cUfLyVw0WaJGeNbKVemgCobjjldqOJ39vwN2bH7uG6pc21/zGvCfDR8y9/Z11uKF8mpqhpevX5PfXBDD4txw9ynyuULS9YsaSRThpTqA+jFy7fk+MlLsm3nMat2SRLHVyEAc51QDc9aK1Myr6CnDqXP8cEUxSYuXLqpjm0cSPT2x3XXrlFKcmRLq4YcovjH/QfP5PzFm+oDqHGlPfQu5M+TRR2mWuWi6nxnzl2TjVv+K6e+YMnmIC+2cuJAoGTOmErNZcKcJlsN85jQm4JmPGdL60nzGz5bxk5abHIIhD18QWE+7G30UF/xbVtHd/gkDuBogDt24qJcPr1cVZIsUqa1zTL6eA8P7PC3GfQcDXBYJ292gO0Q0a1jfWnRpJo4EuBQ/RGFTlxpCFeoJGmriAn+Hg/tniMxokeTwSPmytKVO1RPJZaPmD2tn2TNnFpe/vVazQdduHSryWUgoC+aO1gViEHVyKZththcYw89seiRtdfQg7tt3STVe9m4lZ9JRcqJo7uoJS2M59gd3x+orjdfsaZy+ar9ob72zs/fU4ACFKAABSgQ8gIeG+BA18Gnjowa4muhiDlxI8YGOqWLb9Qx5828YW0nrPEUHA1Ba8vaSaqQQ9GybWTz6gm6le0+ffokvQZMk1lzTXsktP1RnS5lpupycOdsQSEE45Y0XRVV4VBrCGBTxnWTmDGj697S6nV7VIVJvTXNMHQPwQPX812Ckhb7I2yhLD2KQ+g1hC8M49q+Sz8kIghgrhA+/Frbv1OP8bJq7R71a79+raRH50Y2H03+4s1UgAyqhoD54tEuVeY9Z8FGcuPWl7Xc9JpPq5qqF0VrWoDThlRiIe/MeepZBGxrAQ5De+vULC3eTfrrFgdxNMDhCwL87WAuHob12WqotLhv20w150uvpD/2dTTADRo2Wy1gjoZeRlRzRIEV41A+dGBbweLUjgQ4vIfv338Zjupsw5w2VMi0V4USwyb/+PMvi/Pg+tu1rin9e7VQX5ygd7Vtx5FqPhrmz44a0l59iYKfN2k92O5wy1LF80in9vUMt4FeO3xhgi9XjOdY4m9z+/rJathp1drdDNtj+YErp1eoQJkodSX1cwyPvX1prfLFz1iF0tm3hNtTgAIUoAAFQqeARwc4kLZvU1vGDLMsxGBv/Svjx9G/V3Pp072pxRPC3BLMMQmupgWwe/efysPHz6VA3iwycJi/7N57Uu49eKp6eapXKSZdfOurS8CHX3wI1ppxgEM1PBSGQLnx3ftOqZCFb+m795lsCGPGPYzoMVi5Zpfq2UqU8CcpkC+rCkTffxdLbt95JIVKtbQojmArwOED7a5NUyV/3iwqMA4c6q/K0mO+XOpUSaRerTKCQIPtEBoWLNliwooPrHu2zlA9dgi06PHAell///1eMqRPIV18vVUFTPQ2lq/eSd0netyyZ02jjlO/TnkpkC+LHDl2QRXG0Bo+QLvaS6P33BMljCc3L6xWv0qUuqKqGKjXMqZPIYd2zVbzx9CzCRctwHX0qStDB7aR3gOny8w5ayx2txbg7L2Hjga4KhULq4XDs+Wrb7d3EkP59myZIUePX5QyVSy/LME1uRLg0qdNJmeOLFLvWrb8DQy35kyAC4kqlObPAENd0dOG3uJbtx/JtRv3lC3eU/wtu/rlj9ZzpleFEr3Tr16/kztGcwf1AhwCICqzojJpu86j7b0+/D0FKEABClCAAh4i4PEBDs6Yj4R5SeYNRU2M54/oPRNtcWXz3/XoN0VmzP7yQT24mhbAcHwUncDiznqVHbXhVQhl2Qs0FAQ+NOP98b/HT1migpNeQ5g7fWiBGpJobQkAzOnBwsuYi2MeFnFMWwGuZdNqMnlsNxXeMD9Lb120mtVLysI5fqr8eoactU16NbAmWOUKRVTYqVGvp6poaN6wL46hNx/LXXPg0Dt4ZM9cq72Q2jVrwywDF22Sg4fPSaD/QJMhlBi6ihL7Hz9+ksoVCsvDR88F85vQzAMcQi/WLcuYPqXN99nRALfv4GlVyXLD5gNqiB+GE2K9Mb2GobA7N05VwbhsVf2KleE5wMEMIW7HhimCcI+GwiwY3mjN1N6/J1iqYP/2LwvDo4e3dKX2gmUAbDW9AGfvPPw9BShAAQpQgAKeKRAmAhzo27b0kvEjO1s8hTETF8ngEfoV/gb1baW+oTZv3fpMshiuGByP1ziABSzcJJhrZ63hQzQ+TGMeTqv2w9VmxvsfPnpeylWzDLHa8bQ1o2wNhcO2XtVKqB4FBEr0jKDSotasBTjMFbp8eoUKHj6dRlnMBzK+p42rxguGi3XvO9nQ+2T8gbVYuTaq502vIWCeP75EDQXDkFEEQa25K8CVLpFXhVwMbUuVuYbV53Xy4HwVZqvU6ipeVUtYBDhtRwzle3Bto+olSZq+ihpOqdcDd/HEUhW20mWvLU+e/qp7Xi3AoarldaP12LAxhvXly5PZUMQEP8ucMaWa34benMKlW+keV3vmBw6flYo1LP++cJzwGOAwhBbr97VoUlX9N54fenrHTVosM+eusagC6sy/H9oag9o+GAJcuWZn+f3Ff0OhMX+xV7fGcuTYRdm644iYBzj8Hl9sxYoVXfr5zXTm9NyWAhSgAAUoQIFQLhBmAhyc27TwUnOwzJteb9Lg/q2le6eGFtvamnsT1M/SOIAVLNlCVbmz1urXKSdzpvcTzJtCeEEz3r+SV2fZf+is7u74sPnbg51q3bJ6TfrJpq3/Ffkw3wHbYk0vDL/CnJ5Fy7YZNrEW4FCtb+u6SapIQ8JUFW1WxdPmhaGnEdUS0fp0b6LmEqEACeYC2mpYuBi9iAissNCauwJcyWK5ZdPqCWrooa3KpE0aVJKNWw6qD/UoVGPeA6ddt7ZG2OZth6Ru437qx3oBDu8q3ll8GEcxEL3m7DpwOMasKb2lkXdF1VuEOW7mc8q0+92z/5TJnCvj84enAIehvviSA8si4G8EDe/98tW7ZPzkxVaH1Bp7YX7pWytrtyF43bm8Tq5evyu5c2YUBGecE+8R/sa1Ly0wtHpJwFDBnFXMsTMPcJh/d+/qeokWNYokS1/V5t9kUP+7xuNRgAIUoAAFKBC8AmEqwIGqVbPqgmpsCCLGzXh4oVZa2/j36NVBSXB3lto2DmA/JCltsyBDrhwZ5ODOL8Mj4yUvpz4AGu+fOE0lq3O9tA/Y2DdT7rqqqqOtpgUB8yGZ1gKcNnwSvVK9BlhfkwrnTJ82uZpv+PjJL6o3CQ3BFAHVuHfR2dfeXQEOlQeP7QtQH9pj/1zCocIQtgLcgtmDpFaNUiYVLfUCHErZY+4dKgki7NsKcFjM/M7dJyaboPhJtixpTHrgsAE+6O/ePE3NJ9Sbb4XeJaw5hkqoXt49dc/rSoBDsZ3ThxeqYaQoha81Z+bAYZ04VFl1pQ0b6CO1vUrZLWKSOFE8KVE0lxQrkkv9vaEwyNc2W0WWUEwJSzx07D5OZk3po54J5kmiB/7+w2eqFxR/ZzMm9RJ8SaBVQtUbQokqvajWi+ULsIwBGwUoQAEKUIACYUMgzAU4PBYEikljulqEuInTvpS+14qCaI8Q4Q0fBOfO3+DWp6oFMCzwjG/JbTV8gMc382haZUVtf4Q5hDprDUMWMXQR94nqkZ8/f7Z5LvRiojcTPUjeTfsbtrUW4FAJFFUNnWm4lriJS6tiD3u3zlDD+0aNX6BK5LvS3BXgtMp+uMZk6auYDGuzdt3WAhyGTz68vkmiRo0syTNUMwRwa0VMsBg4Crkg8CD4mDdH58Bt2X7YZFeEFMzrw2LfLXyGqt4krWkVMzFMr3ZD/TL3rgQ4baHq3ftOSrU63Q3ncybAufKemO9jrQoletkG92uthq0atzdv3qkKrvgbsjbU19p1wQnvj7UAh/mVmPu2at0eWbV2t2AJCi1Uaz3XWuVQVJfEvwkYxoueaL0AVzB/Vtm1aZpaEL1Wg95BwcVjUIACFKAABSgQCgTCZICDa/PGVVW5fPOeOHNzBAl8iEOvhbubFsD+/vuD/Ji0jM3TowgJ5kGhab1oxlUof05R3ur+xr13GOJoXLZdbyetRwyVKjGnTWvWApw2BBLFVbQy8Y5Yrly7W8350ubFTZmxQvoMmu7IrhbbuCvARY4cSS0jgDlPji5RYC3AVatcTJYGDpV9B89I5ZpdDPdkLcBVKl9YVi4aodY5xHqH5s3VAIfjaEM5UYY+d+EmhiI02jWu37RfGjT/sgi5eTMPcAgp6FHF2oK79p4UbSFv42UEUIlz5JD2Mm3WSrVEhtacCXAILljU3JWGHkAsEWAtwOF3+HtDuD57/rq6D/zn3v0ncu/qBvU3hL8lZ9pwPx/p3N5bN8BhWDBCNKqXYj6iWvjdKMDhPPi7hCF+d3TvPDXkWuuNtVbE5Mrp5eo+8QWBvb97Z+6F21KAAhSgAAUoEHICYTbAgRTDh6aM6241xH0Jb+MEBURCohkPgcQ36RgaZa1p26JqIXquMITP0QCHdaqe3/uy4LS9uXbYZvfm6aokf//BM2XitP/mW1kLcLVqlJQFs/1UpbwkaSs7TYneUgx9tRUStIOihDpK86OEekgUMcF1oJcEhVfQa+vIkFtrAW79irGqGqRv1zFqIXetWQtwCI8Pb2xSSzMYl97X9vuaAKcFBAQv46Gz2rVjCB6G4uk1LcChNxVzGzFvTq2T1nm0Wi5CL8BpQwCxpAR6lbTmTIAL7mUEMKz0/oOnJhUgsczFo5ubgzzADRvUVo0M0O5J66HUG9aqLehuPLfXWoDTCjWZz2d1+o+UO1CAAhSgAAUoEGoEwnSAgzKKDUyb0MMixCG8YVFc4w+P7n4qxgGuaZvBhgWq9a6jX8/mgnXcsEZarkKN1SaOBjhse+P8XSh+SwAAIABJREFUKkmcKL7dYYr4th7f2qNHoGb9XiaLblsLcJhbhR4BtOz5G8itO4+sUmJJhJLFc8u16/dk7KQvizr7tq0to4d2kKfPfpMMOevIp0/6QzxjxPhWntzaIggy5r1f7uqBw/VqBXCwxlzDFvq9UsYAegFOW44AxVDS56hlMv/R1jpw2pw59NKYl6n/2gCH5QS865QV/3nrDHP7GtevKKiKaF4lFe9HvtyZpHjRXFK6RB5VcENr+CICwWO6/2r1TM0DHIaOXj61XA0nLF6+rZw6czVUBji9lzi4Ahx69eCC4bHwsxbgsPj5jfOrBX8LWEheG0prLcBpFV537jkhNer1cPc/cTwfBShAAQpQgALBIBDmAxzMMNkfH/C14ZQIb3qLSQeDr81DGgc4fBBDMEPPmnmLHj2aXD+3Sn6I+50YV8l0JsChhws9XRhGlSWPtypxr9e03jAMTStQooXJ9dhaB27ftpmSN3cmQ1U8vWNjGOjJA4GqB8249wqBBR/oMbfIvEfG+DhamMBQzcx56pmcQivYYD7sMzieqaOVKLVz6wW4xfOGSI2qxdWcP8z9M262AhwKb8z3HyR6w02/NsDpWWH5ARQFwpqIWBtRa7On9ZUGdf8btovKijt2HVOFaDDU0Pg9Rq8plsA4duKyqjSqhhH6+aihiUXKtFbBJU/OjGrhd/T85sqRXq2dp62LZ35djbwrqAIfwd0D584Ah161ew+eGpYvsRbgUODEr19r9cUKvmDRmrUAh3/zEA7jfB9TUmSsbnc9ueD4e+ExKUABClCAAhQIWoFwEeBAhgWgRw1pr/R6D5wua9bvDVpJF46mBTAURLh5+5HcuHlfWrYfLpgTp7X48eLKsvnDVJEPVG7MnMdbLf6M5kyAw5C2Y/vmSeaMqeTW7UdSw7uHYUFwHAu/h0/7Nl8qQ2JOFuZmGTdbAS5HtnRyaNdsFZKHjZ4noycsMvkQj/CJtehQWAHDHzGU841RKXX0LqKXEUUimvsME/NCG/nzZlZzglBmvUM3DHs1nbOo9VDi3rCWXHDO90HlRhSUifN9LLW4NRa5ttXMAxzWszt7dJF6zumy17KoHmorwKGX7MH1jfLb739K2my1TKpgagEO88rwPhm3Jg0qCuZC1mnU18LW1rVryxeYz7tDkBzUp5UqkIH/IHxp76Wt46HwBtbIw/uAZSSwH+ZAotLj6AkLZdjoALuVPcNigIML5vThyyU0vQCH9w5LfODfBPO/T1sLeWtzWs2H6rrwTxZ3oQAFKEABClAgFAiEmwAXCqwtLkELYJg7hGC2f/tM+fz5XzWP6PGTXyVLplRSIF9WFRSePf9drROGHgytORPgsE/qVInV2lEIcSgecursVTl/8aYkSvCTCohY1wrXgkIis+autbheWwEOG6MwxdCBbSRSpEgqJJ44fVkNB0ueNIGUK1NAMBcP8+TKVvGVa2YLTWONurnT+0n1KsXVh1gMq0MPDYZTZsqYSn3AR9ObE4SfY74SAiQa7gHnvX7zQbANGxsxuJ0aGmirOqMGaB7g0HM1flRnWbhki/Tsb7nsgq0Ah2NuXjNReZiHR1fWgbP3d6H1bJovbo+groUNe8fQfo9F0BEm4v0Ux2RZAixVMH/2IBXOsVxB87ZDbK6nZhzgGrfyc/T0JtthWDWGV1srYmLtoME1hNL8fHoBDiFvxcLhqgc7X7FmJrvYCnCoqLlo7mBWo3TpTeFOFKAABShAgdAnwAAXgs/EOMDFSVRKVaCbOr675M6ZQYUgNPTOHT52QVr4DDNUBnQ1wGE/DFcbO7yj1K1ZRs2j0Ro+jGPIWvsuo+XchZu6KvYCnBakUKAC4dO4YUhd4KJN4jd8js1hXCiXjrWw8EHZuKFgyYixgWoulrVlEBCUunduKKlTJlbrm2EYqPkH3aB63CmSJ5RLJ78UeMHQ1xu3Hlg9tN4QSjyHKJEjy6vXby3205aMePDwmWTMVdfi96hGieqI6zcdMOnl1AIcjFAt0bjV9iotWMPOmR44fHGgzbcqWbGdnDh12SU+BLbOvt4q4CP4oceuVfvhJj2P6dMmk9VLRgtcMc+zklcXq0V9tADn0sWY7eRqgMPfi62iQ3rXhi8wMEzY1jpw2n7WhlDCD2ENw4iNG3p1zx9fIqgimih1JZPfode2cYOKMn/RZi7oHRQvDY9BAQpQgAIUCGEBBrgQfADmAU67FPREFC6YXf58+Ur1kBkPqQyqy8UHQXzoy5QxpfogeunybZMhjXrncSTAafvhQ2OWzKkkfrwf1JBJBBxn7gNrk2XNnEZ94L9z95HcuffEoSF6QeXjyHEwFw1DCVFpERUXrTVbC3ljH8wNRC/ou7/fKyP0mPTu1kROnr4iJSr4OHIpapuvnQPXrFFl+S52LPnwzz+qwEjtGqUEFSYPHTkv5at3dPg6sCECdOUKhdVyAmVK5lXLLiB4Dx4xV1W51GsI7Vg0HIU37t57IhW9Osujx79YbKoFuE+fPpkUf3HmAhGg8SWJqwHOmXOZb/s1Ac74WAi7cb6PrYYdN21UWfUIX7pyRxX4YaMABShAAQpQIOwKMMCF4LO1FuBC8JJsnhofxNevGKeGKKLHMLy3RAnjyfljiyVSpIiqeqa1Hhl7Ac67dlmZO+O/BdM1135+M2XS9P+WcbDnjZ5PDK1s0nqwCn/GDUNU0eP39t3fVqt8+k/tI6gSatwwl9DLu6ccP+lc71vArAGqlxcNC82vXr9XZgesU19I2Gr48mLzmglqvp7xOmfG+4SGOXDoOU2f/ct8UUfbgN4tBD3MQRXgWjatJpPHdjM5vSPHdvR6uR0FKEABClCAAqFTgAEuBJ+LpwU4bd4Xekey5PUOQbnQc2r0lPXv1Vz1KmGRZb2G4Iv1uPbsP6W7DZZu6NO9qWHX9+8/yM49x2XvgTNWh4sGh0C6NMlUFUhUPUXPJ+ZhHjh0xuZ8NGvXgXAbMLO/rFizS1au2W23d9f4OOi9XTRvsFqHUK8SJXr2BvZpKbv3nZS+g2a4RNGtYwOpWK6gWudw87bDDh8jZoxvZdG8IfLu3d9WFza3djBUw8Ucz+WrdioXWw1FgXCPBw+fNVmL0Xgf9KDj3UN79/cHNTQV1SnxBQsbBShAAQpQgAJhV4ABLgSfrScEOAzTQoGQooWyS71aZdUcHqydh3L/bBSgAAUoQAEKUIACFKCAewUY4NzrbXI2Twhw2jpg2oVfuXZXKtboJL+/0F9HLgQ5eWoKUIACFKAABShAAQqEeQEGuBB8xClTJJIWTaqqOUnWht+F4OWpU2N5gaqVisiLF3+psvwYoqW32HhIXyfPTwEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABdCT7lwwWwyc1JviR07hgwfEyizA9YF6ZW0bl5D+vVsJq9evRWfzqPk8NELQXp8HowCFKAABShAAQpQgAIUcL8AA5z7zdUZL59aLimSJzScfcjIuTJ6wsIguZpeXRvLwD4tDce6e++JZMnrHSTH5kEoQAEKUIACFKAABShAgZATYIALIfv71zbKTz9+b3L2oaPmyajxC77qinp3ayIDercwOcZvv7+U5BmqftVxuTMFKEABClCAAhSgAAUoEPICDHAh9AyaN64iU8f3sDj78DEBMmLsfJeuqm+PptKvZ3OLfTt0GysBCze5dExHdoofL660bFpdsmdNK0mTxJd//vkojx7/IidPX5V5CzbI6zfvTA6TNMnPUsertNpuyswVEitmdOns6y3Fi+SUqFGjyNXr96Rzzwny7t17w374ee0apSRHtrSSI1s6iRIlstx/8EzOX7wpcwLXy1+v3jhyqdyGAhSgAAUoQAEKUIACHi3AABeCj6+DTx0ZNcRXJ8QFyoixgU5dWd8ezdScN/PWe+A0mTpzpVPHcmbjxvUryqQxXVXw0msIVnUb9ZVDR88bfo2gtmXtJBXsUmaqLgd3zpYM6ZKbhrx0VeTFH3+pnyHwLZs/TAVEa+fo1GO8rFq7x5lL57YUoAAFKEABClCAAhTwOAEGuBB+ZO3b1JYxwzpYXMXIcfNl2OgAh66uf6/m0qd7U4tte/afKtP9Vzl0DFc2QhDbtHqCfPPNN7J89U7ZuOWQHDtxUT5//lcyZ0wlvbo1lmKFc8off76SfMWaydNnv6nTGAe4zdsOi3ftsnLi1GXZve+UfPr0SVKlTCzd+0xWAS9t6qSyZ+sMiRsntly/eV8Gj5grp89ek7//fi8Z0qeQLr7eUrFcIdWbV756J3UcNgpQgAIUoAAFKEABCoRVAQa4UPBk27WuJWOHd7S4EhQ1QXETWw3FSlC0xLz16DdFZsxeHax3N3F0F0G1y70HTkuVWl0tzoVhjkf2zJWM6VNI30EzZPKM5SYBTtth/JQlMnCov+61rlg4XCpXKCLHT16SGvV6yqvXby22WzjHT2pWLyknT1+REhV8gvWeeXAKUIACFKAABShAAQqEpAADXEjqG527bUsvGT+ys8XVjJm4SAaPmKN7lYP6tpKeXRpZ/K5bn0kya+7aYL+zgFkDpG7NMrJ91zGpWb+X7vmqVioq+M+FSzcNQzm1HjjscPjoeSlXzTK84nd5cmWU/dtnqeMWK9dG9bzptTSpksj540vkf//7nxqS+etvfwb7vfMEFKAABShAAQpQgAIUCAkBBriQULdyzjYtvGTCKMsQN27yYhk0bLbJXoP7t5bunRpaHKlr70niPy/4wxtO3LBeBfGf2kddA86JsPn8lxd2RY0DXCWvzrL/0Fndffp0byL9e7WQM+euSdGybWwet0rFIqqwCQLhL7/+YfcauAEFKEABClCAAhSgAAU8UYABLpQ9tVbNqguGJkaIEMHkyoyHGQ4Z0Ea6dWxg8nv0PnXpNVFVZHRnw/w9zOND+/fff+XEqSuyc89x1St38fJt3UsxDnCJ01SSP1++1t1uzvR+Ur9OOVm6coe0aj/cnbfFc1GAAhSgAAUoQAEKUCBUCjDAhcLH0rJpNVXZ0TzETZy2VF1tF9/6FuENZffnzt8QIndTMH9WadvCS8qUyiexY8UwXMOz57/L4uXb1Fw842GNWoB7+/ZviZe8nNVr3rt1huTLk1mtjYc18tgoQAEKUIACFKAABSgQ3gUY4ELpG9C8cVWZMq6bRYgzv1z0vHXsPl4CFm4M8TuJFCmiFMibRUoWzyNlS+UzlP3HkMYK1TvJjVsP1DUaV6H8OUV5q9e9cdV4KVU8j0yZsUL6DJoe4vfHC6AABShAAQpQgAIUoEBICzDAhfQTsHF+LPY9ZVx3qyHuS3gbF6yLdH8NT9bMqWXBHD+1FMCdu48la74vPYeOBjj0QmJI6fpN+6VB84E2LwULfEeLFlWdh0VMvuapcV8KUIACFKAABShAgdAswAAXmp+OiDRtWFmmTehhEeIQ3ny7jpX5izeHyB2gt00Ll1jqAMMl9Vr+vJllz5YZ6leZcteV+w+eORzgfNvWltFDO6j14zLkrCOfPn3WPUeMGN/Kk1tbJHLkSJK/eDO5dOVOiJjwpBSgAAUoQAEKUIACFAhuAQa44BYOguM3aVBJpk/saQhxCG/tu4yRBUu2BMHRXT/E0b3zJFuWNIL5d9aKp2gl/nEWhLCHj547HOB++vF7uXxqucSMGV3dr7Ww2rh+RZk5ubfcu/9UMuep5/oNcU8KUIACFKAABShAAQqEcgEGuFD+gLTLw0LVo4a0V/+z98Dpsmb93hC/8r49mkq/ns3VkMWiZVvLo8e/mFxTxIgRZd6M/lLbq5S8+OMvSZquivq9o0Mosa12jjdv3klzn2GyZfthk3Ogh2/d8rGqeEqHbhhOGvJzAUP8wfACKEABClCAAhSgAAXCrAADXJh9tMF/YxhGuXPjVFUp8sOHf9TSAXfvP1FDHRP8/KOUKZlP4seLqy6kcSs/Q+h0JsB9+21UmTu9n1SvUlwt1H3qzFU5e/66OkemjKmkRNFc6vjLV++UFj7Dgv+meQYKUIACFKAABShAAQqEoAADXAjih4VTx/k+lnTt2EDaNK8hmItm3s5duCFYiHz9pgOGXzkT4LSdfFrVlL49mkncOLFNToHevxFjA1Uhl8+f9efIhQVn3gMFKEABClCAAhSgAAUgwADH9yBIBBDeUqdMLEkSxxf0mqGoyeMnv6qiJUHZEieKJ1kzp1HzAe/cfSR37j2Rjx8/BeUpeCwKUIACFKAABShAAQqEWgEGuFD7aHhhFKAABShAAQpQgAIUoAAFTAUY4PhGUIACFKAABShAAQpQgAIU8BABBjgPeVC8TApQgAIUoAAFKEABClCAAgxwfAcoQAEKUIACFKAABShAAQp4iAADnIc8KF4mBShAAQpQgAIUoAAFKEABBji+AxSgAAUoQAEKUIACFKAABTxEgAHOQx4UL5MCFKAABShAAQpQgAIUoAADHN8BClCAAhSgAAUoQAEKUIACHiLAAOchD4qXSQEKUIACFKAABShAAQpQgAGO7wAFKEABClCAAhSgAAUoQAEPEWCA85AHxcukAAUoQAEKUIACFKAABSjAAMd3gAIUoAAFKEABClCAAhSggIcIMMB5yIPiZVKAAhSgAAUoQAEKUIACFGCA4ztAAQpQgAIUoAAFKEABClDAQwQY4DzkQfEyKUABClCAAhSgAAUoQAEKMMDxHaAABShAAQpQgAIUoAAFKOAhAgxwHvKgeJkUoAAFKEABClCAAhSgAAUY4PgOUIACFKAABShAAQpQgAIU8BABBjgPeVC8TApQgAIUoAAFKEABClCAAgxwfAcoQAEKUIACFKAABShAAQp4iAADnIc8KF4mBShAAQpQgAIUoAAFKEABBji+AxSgAAUoQAEKUIACFKAABTxEgAHOQx4UL5MCFKAABShAAQpQgAIUoAADHN8BClCAAhSgAAUoQAEKUIACHiLAAOchD4qXSQEKUIACFKAABShAAQpQgAGO7wAFKEABClCAAhSgAAUoQAEPEWCA85AHxcukAAUoQAEKUIACFKAABSjAAMd3gAIUoAAFKEABClCAAhSggIcIMMB5yIPiZVKAAhSgAAUoQAEKUIACFGCA4ztAAQpQgAIUoAAFKEABClDAQwQY4DzkQfEyKUABClCAAhSgAAUoQAEKMMDxHaAABShAAQpQgAIUoAAFKOAhAgxwHvKgeJkUoAAFKEABClCAAhSgAAUY4PgOUIACFKAABShAAQpQgAIU8BABBjgPeVC8TApQgAIUoAAFKEABClCAAgxwfAcoQAEKUIACFKAABShAAQp4iAADnIc8KF4mBShAAQpQgAIUoAAFKEABBji+AxSgAAUoQAEKUIACFKAABTxEgAHOQx4UL5MCFKAABShAAQpQgAIUoAADHN8BClCAAhSgAAUoQAEKUIACHiLAAOchD4qXSQEKUIACFKAABShAAQpQgAGO7wAFKEABClCAAhSgAAUoQAEPEWCA85AHxcukAAUoQAEKUIACFKAABSjAAMd3gAIUCDaBaNGiSJJE8eXtu/fy9NlvVs/zzTffyL///uvwdUSIEEH+97//Obw9N6RAcAnwXQwu2a87bsIEP0mM6NHk0ZNf5P37f77uYNybAhSgQCgTYIALZQ+El0OBsCQwaUxXadWsuvTzmymTpi/TvbXIkSPJuaOL5f2Hf6R2w95y7/5TmwQVyhaQQP9BsmL1TunUY4JHcWXLkkYa168ofQbNkH/++Wjz2mPG+FZOHVogJ05dkVa+w+Xjx08O32uUKJHl8O458vDRc/Fu2t/qvtGjR5MT+wPl4ePnUqVWN6dCtN7FjB7qKwg0E6Yulee/vDDZ5OzRRRLvp7hSvHwbuX3nsaRKmVjKlsonM+escfi+QtOGyZMlkOGDfCRXjgxSqFRLefHHX0F6eREjRpSDO/1l265jMnHqUnn79m/d40eIIDJjUm/JmD6F+HYdI5eu3AnS6/DUg3Xx9ZZhg3xk7KTF4jd8tqfeBq+bAhSggK4AAxxfDApQIFgEsmRKJUf2zFW9b2mz1pTXb97pnsenVU0ZN6KTXL1+T/IUaWL3WnZvni4F8mWRPgOny5SZK+xuH1o2QKg6d3SRJE+WUMZNXiyDhtn+UNmyaTWZPLabbNxyUIUwZ1qhAtlk58apcu7CDSlcupXVXSuULSirl4ySE6cuS8mK7Zw5hcW2cePElpsX1si330aVEhV85OTpKybbXD+3SpIkji95izaVK9fuytG98wSBdsbs1dKj3xSb547zfSwpkC+r3es7c+6aZMmUWtq08LK7rbbBjt3HZO78DQ5vr22ILx7wfmfKkFLWbtgnjVoOcvoYtnaoUrGILF8wXH759Q9Jn6O2IfAjOD5+8qt8+vRZ7Y7AvHfrDMmTK6OUqeIrx05ccuo68AwqVyji1D7WNt6644h652y1NKmTyILZfi6f7+PHj1KsXFu7+8eOFUNuXFgtEUQkY6668sefr+zuww0oQAEKeIoAA5ynPCleJwU8TGD7+ilSpFB2mThtqfQfPEv36tHLdPn0Cvnpx+/l/fsP8vqNfi8Ddk6T1Uty58wgCHCOtNETFsqQkXMd2dRt2xQtlEO2rpukerpKVGgnCBzW2vH9gYIQXLx8Wzl15qpT19i7WxMZ0LuFjBw3X4aNDrC674RRnVXYGTV+gQwdNc+pc5hv3L1TQxncv7XVMHjxxFLV61awZAu5cOmWpE6VWDavnqhC3fLVO6Vlu+FWh8UisDvy3Os06ivx48WRqeN7OHwvA4f6y/gpSxze3njDHNnSyf7tMyVSpEhSo14P2bnnhEvHMd8JoWzT6glSomguGTY6UEaOC1SbpEyRSC6dXKZ6N1NlrqF+9rUBrnH9CjJzcp+vvm6MaO7UY7zMW2A7DGfNnFqO7bP+Ttq7EPw78UOSMvY2U8Ft6KC20sW3Pnvh7GpxAwpQwNMEGOA87YnxekOdAHpW7A2HCw0XnTd3JvWNPsJS6cq+6oN2cDV8sMUQPrjg2+9nz3+3OBU+eC5fMEx9+//7i5fy55+vJWGCHyVGjG8N/9t4p2Ll2sjuLdPVUDH01r18+VpSp0oi8X6KI0+e/ioPHj43OcfSldslcNHm4LpFl487fmQnaduyply/eV8KlGih++6ULJZbfYA/fPS8lKvW0elzbV4zUX341+sJMz4YwgBCQflqHeXQ0fNOn0fbIVKkiHLt7ErBvCP0FqLX0LydPrxQMqRLLkXKtJaz56+rXydKGE+2rp2oniM++HfsPl73GtKkSiJ9ezQz/K5S+ULqPUHPl9YThV+iRxbDRpMm+dnuvfTq2ljQy9WwxUBZt3G/3e2tbTCobyvp2aWR3d5OZ06QPm1yOXNkofpSI0POOvLrb3+q3Zs3rixTx/eUzdsOSd3G/dTPgirAYejlspU7nLlMw7Ze1YpLrhwZHQpw2jU7e6If4n4nD65vVCaOBDgcH+/jldPL5cOHf9gL5yw4t6cABUK1AANcqH48vLjQLIDeIHxwe/rsd+ncM3TPxartVUr8p/SRqFGjKNJSldrJ8ZPBF+BmTu6t5notWrZV2nYcpfsYRw3xlQ4+ddQQMQzzQ5GTyhUKy4qFI1S4wbwi4+IDMyb1kiZUynPAAAAgAElEQVQNKsnFy7elaNnWal4XemZ2bZqm9s1duIm8ev02NL8y6tq0eWcITnq9k/hAjqF5GNrm5d1Tduw+7tA9IURh3lTkSBHl3tUN8uGfj5I2W035/Pm/4jAI1FrxF603592795IoTaWv+hKijldpCfQfKHfvPZGs+err9qQh0CPYm797yZImkAM7/NUXC7Ub9hEMw7PVYsWMLk9ub1GBPUteb4ds9DZCT2ixwjkNPYLG2+BLmcSJ4jl07KhRIsuGleNUGG3fZYwcPHLOof0wDFLvix/MaRs/8kvP6MKlW8Sn0+j/D2oigbMGSa0apaT/4P/mlAZVgFuzfq80buX80EZcL3o8mzas4nCAcwjIbCMM0X10c7NTAQ7Xhn+LGnlXZC+cK+jchwIUCLUCDHCh9tGE7gsrXDCbzJzUW2LHjiHDxwTK7IB1QXrBrZvXkH49m8mrV2/Fp/MoOXz0QpAePygONn1iT2nasLIELNwoHbqNC4pDBvkxypXOL5hjVqZkPhV4MG8nuAMc5p7cvbJezYXS5juZ3xgKP2DoGcJFRa/OcvT4RcMmAbMGSN2aZWRO4HpDMM6eNa0c2jVbfeBF2Lt2475he61Ha8n/sXcWYFJVbRx/FZUQRAWlG5EUJKS7u5ula4mlGxZ2WXKJhSWWXrq7u7u7G0H9RFEQUFG/53/Wu07cmbkzOxvD/t/n+Z4PmRvn/s6d4fzPW8u3SfsuI93OMCIXhKiK969oNr0OctR8OjVU350LF2+a3QILdLxbN249kBLl21uJIRR7MfU6aScjlw05bfYMIYabtx1Sh3TpWF/GDO9q6PFOnbliN+8IxTYwpz36TbT5W6AJploNe8vOPSfM7gvvcJWKRWTYiFkOx1OlYlFZuWiUw+8d3ouc2TOpgjGax8/04rcurpEUyZNK8gyVrPIz8+bJqt63yDRTT6TpffD9uXFhtSC8uHDp1uFFSSDUbl9aqzzOZat2Dvege6KAwyYGvKrOWOKPEsrWdZOcEnC4Pt6B4/vnyfPnv0mW3PU8YpPHGS48lgRIIHYSoICLnfMe4ae+dHKZZEifMvw6yDVCzpE7DKFNvgPahl8Ku/oR2Wl3x5j0rhHTBdyKhSOlaqViauhgCCG8fX2w+u/I9MDhnrj3w0ffq+ILtgzemEwZU8mqtXvMDkHBCnhzNm87rEScZvB4ZkyfSlas2WV2PELpEBq6Z99JmTRteYQrKbrzfUEFTlTidKd16j5G5i/ebHVJTcAhPwohY6aWNMnHKuRQE3AQ1wifhICBB85WS4Y4cd6VePHiqhw85OLpWY2qJWRpaIAqEgGP36tXv+sehzkyErIIDxs8YLaqOgaO8JFO7eupoiEIobRlWngofjvw/psaxNH397bL/358Jumz1bC6RM7sGWXFwlFmf58q5Wcq1w3hunoCWm8cYJfs80/VxoNlGHEDrwFy6cods9OQtzVscHtBPuG+g6elap0e4Z8j/BRhqDDMr+mcwbMOIYf76LXj2LD5kLTq6KeLSsuBi0oPnNGcRr0BOxNCifPB5drZFcpDirBTbQPDnd9JXosESIAEopoABVxUE39L7nfv6gYV8mRqKIKAYggRMa34guk1bC2yInIfd5wb0wUcij6gCAY8U/BsYCHz+PYW9eiRKeC0BfaiZVulQ1fzRbAldyyksRh3p61ev1du33nkzku6fK1mjSqL/5AOds/HvMCrAkOuk6P+dv2HTLESsThXE3CVa3WzCuPTvJqagOvTvZkMG2S74Ig2YC2XERUlkU9naVgUw7sB0e2okmXI5LBQtl4DguTAobOSLm1yQfhkujQp1J+Rt4YKnbjWgiVbxLubfugtWitAzKTLWsOmyEP/wf/d36FCcD9PX9GK6de5s8ihXbMdjtn0ebXxd/QZJQuXbjX0Tgwb1E76dPdSrRJ6D5zk8Bx4ZretmyTvvPuuDPWfIeODw4qrIBRw5LDOymuL98PyHUEfRZjeZ/j7dRv326ySGR0CDpU0u3Ro4JCH6QEQqa2bV3faAwd2M4IHStOGlSR4+grp7zvFqfvyYBIgARKIiQQo4GLirHjAmPAPqV6ltxFj58rIwFCXnmBgn5YyqG9rq3O79gqUuQs2unRNIydhh7xty1qCML20aZKpXWx4j06cuqIKK5iWv0foaKECudRla1YrIQi1QiXBDZsPht9q/uJNamff1HCPWtVLSd48X6oy5/CSoBIfzt20NSykzdIa16+gdo03bjko12/eVzlRKG5RrEgeJZ5Rrvv02WtqMa/XqBb90g4fvRAeMoQQpKgQcFjQI2wJ4YwQj/YMHiCEsrnT6jXtL1t3HHHnJSP1WhAbTx+GeRWTpCnnctNhowLu6PELcunUMkGoHsL47JV9h9cT+Wl64gyiAWIDogOmHYOwUSXG0qZQggyL9QzpUqp8Rcy3I8N3B0U6uvQMtDoU3yOE5yIPEuGFtgzfFbQpQOgkntHStJy9pStR/TLA0ZDU51r1RORn5iva3OE58CKirULSJInl68LN5Obth3bPwffz2L65ih1a1Pv6hciEKUvUOXjuy6eWS9y476vnOXfhRvi13BVCCc/Wz8+eO3wuvQMw9vjx48W4HDhtrJpIxW8uqqDSSIAESMDTCVDAefoMRuP4UYAChSgsDXk9IwPDyl4bNVSYQ86bpWG3FLumkWUotIEQN624h+V9fvn1hTT0GhheoU/bUbc3nkKlWpk108XCdeFsP5uLVwg0LCJfWDTqRXGOIoW+UjvnWKSFzvAVbafd9P5YgMOzgkIe9iwqBBw4Pn24U403bxEvJTztGUL5alUr6XB68X6g6AZ6pyGETc/gvUU1Q08TcB8nTijf3tqiQt8SpyjjcgioUQFXvEgeVTwmdNEmVXTDniE3be/W6aq3WLlqnc0OtfzOagJu7bJA1aDbliFkE/l9qBZ57/4TuffgiTx4+ET9+f7D71RIpy2DR3NG8ACZMWeNDBk+w+ww5HhqRUGQQwmvoy1PHjaKsGHk7IbT9vWT1QaKkXcMGzCzpw2W3ftOSo36vexyhpcIxzaqV0EdZyrg8NmIYZ2kW6dGohfm6C4B9+bNG5c3D7AJESfOezFWwKFyLTy3+I6hgqUnVA12+KPIA0iABGI1AQq4WD39EX/4zh3qy9gA60IIjvpPmd55cL/WMqB3S6vB9B0cLFNnrIz4IG1coVTxvKpUO0QR+lDBiwbvBAprwIPUr1dzVaUOuT0FS7ZSAgketzxffaGu2KRBJeVVOHz0vDpfM5Qk13ayUXBhybzhqnjI+k37JThkhVy5elcSJ06oPH7om5Ulc1pVlAOVFU0Xr5qAgxcLHgMskAODFgkKSiRIEF/1RPMf3EHQGBeVHFFmH55DWxYVAg4ewxvnV6khpMpcRZ798sIt87dvW4hqVGyrKApuojX4NrK4dsug3HQRbXGJOcyYo5bLVzUq4KpXKSbIW8tdsImVp9jy5oW+ySm7N09TRWbQJFozeN22rg1SVS9XrN4lDeqGvZ9oBo53GnmQ9+4/lvsPwgQaxBnCeSGcXM+1ekctwhE+qWcopIQiKjBto6XfkGCZEmL9GzJ/Zlg1xzbew2XZqp2GmWvNtS156F1Ae2eNVNZEldjQGUNVoSFwLFokT7gHDuG18L598MF7qtKqpSfPXQLO9XlxXIUSY0ROIXIqXTX8hiICASLMsggOQkfxvbcVfowWBA+ub1Sfo5CJo80uV8fI80iABEggqghQwEUV6bf4PshhQt6TpRlppIxiJShaYml9Bk2WaTPDhEBk2cQxPQTVLvfsPyXV61kXmkAIFMq5Y4E9cOg0mTRtmdlQHOXAwRt17ugiFRI1btIi5T2yNNwDCz2EfA3wnar6WGmmCTj8N0qrN23ta7VzjNLaG1aOV+XZ7ZXsxzWiQsBBlIIZdvPhTXKXRVTAYdFvtCy8q2N+8PB7hx5HvWuXL/ONrFs+ToXFoXWCq2ZUwO09cEpVJcWGAryaeC9shVFCqO3YEKw2KSrUCNuowYbH1TPLJXWqZKqKJsIUVy8Z4zCfTLuWq8+piRyMAe0itDxHFD2B59VUwGkFfPC9xvfb0tBIGiGRzjZJx7NfOrlU5e7Z67Gn5Q5CwObI38huXiN+A+5eWSeJP0okPr0DJU3q5NKnh1e4gIMXdPfmqbJgyVbp3COspYCpeYqAe/Z4tyoCExkGYfZR8tI2vddghPtjwwHfMYRS0kiABEjAkwlQwHny7MWgsXdsW0f1LrK0sRMXit9I/dLgWgNcy3NQ5CBktnvzovRQaYUdtu08KnWb9NOlCU8F/nf+4g2rUE5HAq6XT1NVwAILzfzFW9gM2ylYIKfs2TJNValD02stvEcTcBBDOQs0tuldg5cQJdr/+usvyVvUS27d1i/gERUCrlzpb1RPLOT4ZcpZ29AbCkYQ0vbswwTxlHCAh/Kvv//ra2Z6ToL4cdUCTc8DFzy+t7Rubl1t0NAADR5ktFCF5eXQ2w497pC3h7G7apqACwxaKNdM2izgeuCL98y0jQAqLSK/7dfnL1VrBr3Q1BJFv1al2/cfOiNVav/3/T62b55cvnpb2ngHSKXyhQ0JOAjo6+dWqZxSlO53xjD3aGwNbzUMvfHQIw8GT/rmNUFmAu7C8SWSKWNqVXEQz2dpdWqUUmHTCF/WQpeRa2urgqbp+T7eDWWUf2dBYReIWnjNLA2CFlzQr23ilKV2HxXi4sSBUNm7/7T0HTxZ8LtoKuBwco8ujWXl2t2C3nGW5gkCDmM2kv+I47JmSSdoRH/r9kOpVKubLjs8c5JPP5Ifn/4S/rlllU/TE3E8cm1VLnLDPrJrr3kbC2feRR5LAiRAAjGBAAVcTJiFt2QMaDw7YbS1iNPzPiHMCqWyLa1n/yCV3xIVpuXT4F64J8QmhIdRcyTg4LmA1yFo6lIZNGy63cuiQS28aRVrdg3veacJOCxCsfC2Z1pbB5/e41XhFT2LCgGHECeEpTpTOVTjhFBVy/L32nOgDD5CqHBdCFp7hsqXyDsyNYT6YkEdmQYxoPVD1EqXG7lfwoQJ5OPEiZQ4/enn/xakjs7N+nUDM8+Os33gcH2tsiI8cMhxsyyGo82nZR4XQoOxCMZmg1EBByZP7mwVeMwQKoqQUaOm5ZNh/lHAx56A0ypQ6uWL2rsfqlX+ZpGHqnc83kN8NxHSq5djp/0OIv8T3h4johD9GhEWiPBAPQFnb9yeIuC0Z6hZraRkyZRGAict0n0srW+bvWIxyF9s5VVd/S7aK8Kj3QCM7l1dLwilhFd274HTRl89HkcCJEACMZIABVyMnBbPHRT6XiE0Ef9gmtr4yYvF99+iA/C4wDtlagiBQf6Kad+vqKCA/D0s7mFYPB0/eVl27D4m8Mqh0p09cyTg7l5Zr8rDh8xeLUdPXLR7LeQAZs2SXpVOx6IQpgk4U3a2LrJm6VjBIhBhngj31LOoEHBapT6wREiTo5L4eE++u7NVIGLyFGpqs1KfkRDKqHhfjN4D4uH59/uMHu7ScYmSlTILGdMEHBrL375j3vcMOWoI0zX1wOGm8ELt2jRF5XYijxMeNVPDO4V3y1QwWQ7WqIDDefDmwasHbx68ekbt7NFFkjljatWWYtbUQXYFHEIS832d1eilZV6Ir6RJnUw+TV3O5gaC5cXgTUKoMDw6puHeObJlFDQ1x/wjJ9XRb4jeIPUEHLzstgw/teNHd5cvv0ivPHiXLXrLaedhc+Di5dtWl9EqNCJMW8shNAwPLQ5EZLivt8op7NbH9gYSromNGHhS8f94p9p1HmHVCsKRgGvasKLMnDJIzVXD5gOt8uH0xg7PPEIo8XuDIlOW/feceV4eSwIkQAIxgQAFXEyYhbdsDG1b1lSVHS1F3MR/S2L36NLE7ImxyO/ed4LMDtX3HEU2HlR67NimjpQvW1CVVtcMITnoZYZcPPTnsjR7Ag5ehu/u2i+hr/dcpiGnmoDDokrz7NhigZYOaO0AL1CjFoN0D4sKAWfaFiBd1upmIU56g/ryi3Ry5shC5Y2xV8DD0wQcnhUeVUeWLWsGlWMGTxZC8VCCH14bI94peCxNzWgOnGUjY4Q2QoxgUW1Z1AOetpWLRqkcTBTj0DNnBNyQ/m0E1UKNeKVN74VNIfCBOD19eKHDEEpH3E0/P39sscqhw4YDwpCNGrzrW9ZMVL9zqDJ59MQlObRrlsqZtVU8xci1LQUcxMev39luWG7kmjjGVqi4JuCMXsfWcf/8Iw4FHM5Fz78Fs4ZJ/rzZVZhkjQa9VbEbzbQw7Ge/PFehvXfvPQ7/rHaNkjIvBFV5RVq091P97YyY1n4C/9ZkzlXHqUgLI9fnMSRAAiQQ1QQo4KKaeCy5H/KNJo/rZSXiLB8f/6Ai7A8Ls+g2LJ4Lf5NLypQqoMqgoyAHDItpNEe2LIlvT8BhB/6nR7tU2N+UkBWqyqQRQ4U5FIyAaQJuiH+ITAgO6wdly7R8viUrtqtdbT2LCgGH50UbASw6Ldsp6I1JC41DUYFJU82LxJgej0qlKLgBL65eHpDlteHdcSYc1sjcRMYxc6aHlY6fHbpOVS5F02f8uVufCU7fzlUBhxshz3NpaIBg0YxKh1o+EcLdUEV13cZ9qoiOnjkj4OChQr4XFu65C5l74e09MDZWkPuYJtXnbhdwl08tU/3qPvyshNPMtQJOENP7DpyWOjVLy47dx6V2oz5OX0s7wVLA4bdk4exhdq9XolhetWFw4PBZ+ekn/TDcc+dv6IYtagIOv3OXrlh76Iw8CIoEpUj+mSEBh+u9/34cmTyuj6CNCypCorcdvq+N65dXf58gQTx124ePvpMKNXzkh//9pFrWIMLjjz/eSJeeYx32mDQdt1ZU5s8//5QkaSo4JdSNPD+PIQESIIGoJkABF9XEY9H94BGaPK63TREXJt7GRWqT7ojgRjjg/FnDVOEEFCL5qqC559BRCCXCvnCuq0VZNAEHcdu11zi7j6IdO3z0HBk9fn60CTjcWPOWwavqKCQW1UuxCHa3VavbI8bnuaDBNYptvHnzlypS8/LlK7lyZoWgYMs3JVo5XdEyIgIO/BGa2KRBRTEN2TXS8NoZAYf7oBUAvFT5inrJtRv2+wRavhcocOHIA4dwUCOGDRnkvN28sFrlIH6WLqwHm7OmiXCcB099wZItdT32Rq/7tufAaRy0/nbvxXlPBvtPkzHDu6piOyhygwgG9OCEdxOCFIVmEFqJ0Md2nQOcDk3VimwdO3FRylY172dodF54HAmQAAnEJAIUcDFpNt7CsbRsVk2mTOhjJeIg3rr0DFTNhKPD4G3TxKX/qNnhHgfLsWh9sPD3OfI3VP2sNHMk4LRS5ivX7JaWHfxsPiYaOQeO7KZ6JI0KDA3PA9NEGRaa+Yo2t5lPBu/EjQur1aIHTb/XrNcPt4oKDxweUitQg354zdroe200GMixQjl6PStWOLfqL4bCFa9f/67ylCBOHz/50SZLVOvLkD6lWTGY6Hi/jNxz8Vx/qVW9lMqR7DVgkjpFq1yKJtfou2bE26jdK6ICDu9H4wYVZMacteHvGjwk0yf1V5ssqNKoZ84KOLQNQfsQW21GMmdKLXlzZ5UVa3ZZ3c6RgOs9cLLhcMOyVTvJsROXVGEVCDmE1jlr+O4FBfYUNA6HoWDJkOEhgoqkrlpsEXAaH4TwLprjr4rCwIuJMHJU1UURE+RkIgcTIZAopIMqrc424YYIXDTHT33XxkxYKP6j9KsiuzpfPI8ESIAEooMABVx0UI9l90SZdIgdLScO4q1zj7Eyf/HmaCVxZM8cVdjBnqfoi0xp5NyxxWqc2fI2ECysNdPyzvQq0eEYhGGuXRaownXQCNxWGKUmBBG29mWe+uHhPaZ94Ow1HO7ZtYkM9+2oQpHQc8rWAieqBJwrlSgtXwSEos2eOkgJCZQSh6fOUSNvXOPgzpmqIEexcm3l7Pkb0fp+2bu51oMQC/6cBRqZhXuiqAaE65273yoRZzQUNKICTm+88IhgrMgDRbEOdwg4zfOIZ8/1TWMrbxXmfuFsPxk2YqZqXG9qjgQcqthi48SIDfYLkRu3HijBd/3mA8lfzLofpb3roLDIzCkD1AbEo2+/lwOHzykPJgxVDlFwRa81g6OxxSYBV7VSUZk6sZ+qLIp2CwiRhnf2+P55SsBh4wobMhtWjFch1HPmb5SBQ6eEt35wxBKfswKlEUo8hgRIwNMIUMB52ox56Hjr1iojo/3DQlf6+06V1ev2RPuToBT1oL6t1QKyRIX2Vn3WkMc1Z9pgQQPhpz/9Imm/rG42ZpyLa9y89VBVnEPIj6WhAAQKQUC8ebXxtRJxps2JUcHNtJCLJuCQlwLvk1eboVbl8Vt5VZMJo3sIKu9Znm85lqgScKhsePvSWvnk40SqT5aW02dkwrGQCxzRTTFHKFWLdsNUwQqjRUy0/l+WYtvIvaPiGHhbIdjhDUBRDhScQXEJU0MeIbwOEMIPH32vNjss2yLojVUTcMi5vHHrodkhLZpWkXxfZ7OqQunomdHqAx7VkYGhMmLsXN3DnfXA4SLIZ+rq3UC1vEAOrKlpHrrm7YZZ/U5oAg7NuZu3HapOK1YkjyybP8KsD5yj59I+T5niMxVCeejIOalY08fQaWhTMHxIR/FuV1eJA/yWIcQZ339s2sBjmTxZEvXfvQdMEuSlOmOxQcDlzplZRvh1ltIl8smLFy+lY7fRAo89TK8KJar54juBXDYUPPHuNsZwFVO8H9vXT1YbIeizaatViTNzxGNJgARIILoJUMBF9wzw/tFGAGGUqACIBsf4Rx0L6Tv3vlU5SaimWL5MQRW6A9NbTMLTA48PDF4vLBCQ02NawADhQSsXjRbk0yEMELv0V67dkQTx40n+vNmUtwimt5DVBNzQgJmq3Hu/nl7q/NNnr6qCBThXK7SC83v0C2vmbcuiSsDh/iP9Okm3To3sVi80HWfSJImlc4cG0qFNbcE4sfveqPmg8HBSIwIOi+Yb51fJ33//I0nSlI9xhQpQEGRsQBflsYH3qU2nAFm/Sb+KXsIP40vozKFSuUIRhQle3v5DpuhuEmgcXekD5+jLp3mZ7eVxuiLgPvwwvpw9slAJnap1esjBI+fCh6I9BxbbptUJcYAm4PTGjUqtzpbBh4BA02hEA3TqPsYRDtU0fMKYHoLqqdhg6NU/yKqYBnqNoXE85huGqp8BY+YaztuKTgGHyo7OGnLZ8J60aFrNYRETzDeer1mjSqrVAn7L4Kk0jU6w1UYgUcL4MiN4oOIKz/y6TftVyPnlq3dsDhkCGx7ZyhWKyoChUyR4+gpnH4/HkwAJkECMJEABFyOnhYOKKgLwEvX0aSodWtcWLCotDU1i0YjcVrlqFHno3b2Z6lEFkQVvGcIlTQ0elaED20qH1nXCq6tpnyNMDr2btu4w98Lgc1MBp5qhD2ynqrZhEaTZj0+fyYix8xy2GcDxUSngEPZ08cRSNUyEQVlW8NTGD/GMxVzj+hUlfvy4SkhPmbFS5UeZNlW2FHBgMKhvKyWcUZUubtz3pULZQircCh4/eP5igmGRChEGT60mtq9cu6u8R0Yqk6Ip9Mhh3hIvXlzlKUbDeVSp/PGpdaXB//rAbZS798z7wNWvU05tIlj2gbPHCN+N6+dWqe9FmSqd5PjJS7qHuyLgcCGtwiWEEKq84rsG4Xrr0lpVuAICztI0AYeqj1rFRBQgwbM5K+DwfUV1x6qVislgv+kqhE/PsAnTrFFl9T+8X7ATpy5Lq47+Zjmxluc2bVhJxo3qFt6aBF5DVFpFA3R7Fl0CLqLfF3ttBPDdRn5q986N1fv008/PxW/kTJkzf4NVbm+uHJnk2L7/Qigtx1W2ZH4ZM8JHUPkSQm7Nhn0yKnCe7vcJvTVPHZqvKgkjVNlIU/WIcuD5JEACJBAVBCjgooIy7xHjCWBRARGGUEUsNpCPhgISpkVLIvoQ2A3GPXJkzyjPn79U3jp7OTKWAk67f87sGSVTxjRy7sINKw9FRMfozvNDZwxVoZB63g0IMIQ1of8WDAsxeKMG+U3XZW4p4CCMHt3cpESpqYEnQuFMe0e585mMXgvvEbyJaBEAby4MomNi8BKZOnOVU2FcyAmaOWWgCh+DQeQuX71LJk9bZrZojWgOHMJxE3+USH7/4w815vq1y0raNMnl4OFzUqmW7fBCVwUcnkUL0YR3GgvxBPHjqvDSgDFzZNQ462qqjnLgbHngEMKNKp9YwOPdQz4VhJsmqvMW8TLbZIC4q1G1uHg1rqLC/PC+wc6cu6bCnBct22bIwwtvXMe2ddW7gD/DIDwh5FCkBd5+S4suAffmzRt5/foPo6+42XEIK40T5z2bHjiERl87u1Jtci1culWG+E8324SAcP/t5Wv1O9C6eTUJHt9Xjhy7oHJA9Qzh7e1b11Ih8NhoQFuKPIWbmYlBeAaRX9e8SVV631yaVZ5EAiQQkwlQwMXk2eHYYjUBWwLOU6CkSvm5nDu6SDWnRk6aZTEOFKpA8/RFS7dKyJzVcuv2I5uPphdCCe8dFsXwcGKxhkXclWv35O+//452RBAIJw+EKs8ZwgARAolCIL8+/83lsSGXsn+v5iqXDYbG2miwrdm0oH5KbCAMDh4iU8OmxAfvvy+/vXylKxpw7IzgAcrLZGrI46rTuK+q1mjLIiLgcE20G5kU2CtcJMFbUqRMG93iLeC6efVElf/U0We0GhLyo4oX/Vru3H1ks3ANigkhP83SIKoH+E6VRcu2mn2k5eHhL5GjBbEFbxE2TVwx8IeQ8PFuoHrOwabNXC19BoVVHzW16BJwyOVDqLizpoVQtmxW3W4IJSqsHj523updwsbWtbMrVGjxy5evw6MU/EbOlrETF9gdDr7/vgPayO59p2TD5gNmx2IT4srp5WrjhN43Z2eVx5MACcR0AhRwMX2GOL5YS8DTBRwmrn+vFoIm3Ogthlw+U8POOTwQCPPJfK4AACAASURBVKFzZKjMCM9l45aDVU8+T7DaNUrJ06e/qObK7rRypb+RIoW+ErS/cKchr6twwVxqAY1FNTzQ+w+elme/WBfnMb1v8SJ5VGEWiBtXBACuhWIi1asUlwzpUqp8UDS0d6eVLVVAUPEQHiB4MOFZv//wOzl89JxuOCo8Sihtj9Dm5at2OFX10N644cmrU7OUEnOtOvir4kiWhuIorbyqy9QZKw1V6n1HRPx9Owoq5uI7Zitc2da4qlUupto67NxzXAYNm+4SdoizyhWLSNCUpbJp6yGnrgEBiB5wpUrkU+chLBp5g2hnAfHlioHJsMHtpWfXpjJw2FTmvrkCkeeQAAnEaAIUcDF6eji42EzgbRBwsXn++OwkQAIkQAIkQAIkEBkEKOAigyqvSQJuIEAB5waIvAQJkAAJkAAJkAAJvGUEKODesgnl47w9BNq1qiVoerxj13HDPY/enqfnk5AACZAACZAACZAACegRoIDje0ECJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DsZJAxgypZNaUgZI/bzaJEydOhBi8+O2VrFyzS3oNmCR//PFnhK7Fk0mABEiABEiABEiABEjAHgEKOL4fsZLAlrVBUrJYXrc++/pN+6Vpa1/5559/3HpdXowESIAESIAESIAESIAENAIUcHwXYiWBpw93Srx4cd3+7HPmrxef3uPdfl1ekARIgARIgARIgARIgARAgAKO70GsJPDrd3sjHDppC9zIwFAZMXZurOTKhyYBEiABEiABEiABEohcAhRwkcuXV4+hBCJTwOGRu/edILPmrYuhT89hkcDbTyBevA8kTapk8tvL1/L4yf9sPvC7774rf//9t2Eg77zzDsOkDdOKXQd66ruRMsVn8mGCePLw2+/l9es/Ytek8WlJwEMJUMB56MRx2BEjENkCDgtCr7ZDZd3G/REbKM92G4HqVYrL8CEdZdO2gzLYL0RdN3myJJIzeya5ceuBPHj4ndvuxQtFL4F33hGZOKantG1ZSwb7TZegqUt1B/TBB+/LmcML5dXr36WB1wC5e++x3YFXqVhY5oYMlWUrt0v3vhOj9yGdvHvuXF+IV+MqMnDYNIfFlhIlTCAnDoTKsROXpX3XEfLnn2+cuhv4j/bvIhA0E4KXyHffPw0/H393+vAC+SzpJ1K6cke5dfuRZMqYWiqULSjTZ6126j4x5eAM6VJIwFBvyZsnqxQr106e/vSLW4eGQlsHdsyQrTuPysTgJfLbb690rw/u04L6S/asGaRLz7Fy8fJtQ+Po0aWxGn9g0CIZNmKmoXN4EAmQQPQSoICLXv68ezQRiGwBh8f6/fc/pHajvrL/0Jloekre1pRAs0aVZUbwAFm6coe07RSgPhrYp6UM6ttaVq3dLS3a+xHYW0Lgq5yZ5dCuWYIKsV/mrifPX7zUfbJO7etK4IhucvnqHfmmREu7Tw/hsXPjFCn0TS4ZOHSqTJ6+3GNoxY37gZw5vEDSp0tpaJHerlVNCRrbS1CYqUmrIU4/Z5JPE8v1c6sEXtAyVTrJiVOXzQTc1TMrJHWqz6VgyVZy5dpdObx7tkBgTp2xSvoOnmz3fp98nEgKF/zK4ZhOn70quXJklg5t6jg8Vjtg+66jMjt0veHjtQOxEYD3LUe2jLJ63R5p3m6Y09ewdwI2n5bNHyHf//CTZP26frgAT58uhTz69gd58+YvdTre0T1bpkmBfNmlfPUucvT4RUPj+CjRh3L9/Cp5R0Sy52soP/38q6HzeBAJkED0EaCAiz72vHM0ErAl4GaHrpPjJ/9bbGhDRJhV4wYVpFTxfE6NGgvHkhU6yPWb9506jwe7n4CegIsfP65cOL5EeeJyF2oqd+5+6/4b84pRSgCL2K1rJ0nxonlkQvBiGeI/Q/f+8DJdPLlMPkv6sbx+/bs8f6Hv1UBV2Sy566pFMQScERs9foEMHz3byKFRdgyq7m5eM1H++usvKVOls0Dg6Bn4Hd07V3JmzyilK3vLydNXnB5jn27NZNjg9nLsxEUpW7Wz2fm4/vljiwWtXIqWbSvnL96ULzKnkY0rJ0ia1MnUBku7ziNshqkWKfSVw3nAnDVsPkiSJ/tEJo/rY2j8qB081H+GjA9ebOh4y4Pgfdu7dZrKra7TuK/s2H3cpetYngReG1dNkNIl8knAmHkyatw8dQj4XTyxVHk3M+Wsrf7OVQEH4TZ8aEfp0aWJIYHvlgfjRUiABCJEgAIuQvh4sqcS0BNwpv8Q6j1Xlsxp5ezRRU4/8toN+6RZG1+nz+MJ+gSwyMuUIZXTeMqV+UYtUPYeOC3jghaGn1+nZmlp06Km2jmfu2CD+vubtx/Jt49/cPoeUXUCxETgCB/5/oen0qVnoPzvx2dRdesYfx8spA/unKk84DnyN5In3/1oNWZsyCwNHS7VKheXH58+k59/fi4pUySVDz+MH/7f2kkQAxAyOzdNUaFp8Bg9e/ZcMmdKI59/9ol6T+4/MA+/XbJim8xbuClGsUJ43biR3aRj27py9fpdKVKmrW4oZdlSBWTDyvFy8PBZqVSrm9PP8P7778mV08slRfKkynu3YfMBs2tAZJw8OF+yZkknJSp0kDPnrqnPU6dKJptXT1Bc4QXr1ke/mu8XmdLIwD6twq9ZtVJRNW9r1u8N90ThQ3hIERadNk1yh8/Qr2dzqVa5mAp7x++1qzZ0YDvp28NLPVPx8u1dvYzZeVmzpFchp9hkyJa3gfzwv5/V562bV5Pg8X1l09aDSqzCXBVwOBd5cJdPLVPfG3rh3DJ1vAgJRCoBCrhIxcuLx1QCtjxwXXuNk+MnL1kNO06cd6Vdq1rSunkNpx/p0pXbKlSI5h4C3Ts3lhHDvN1zMRtX6T1wUozOx1m5aJRUqVhUjX6Ar2eF80XmxGk5QM2bVJEFSzaLd7cxVrfDMaP8ukhX7wbKe4GFNoqcaGFqEDfIY9KKOeD4qRP7SYumVZW3qGTFDionDJ6gHRuClYArULyl/Pr8t8h8NLdcG0Ln2N65ynuj552EsEUoIEJQ6zbpJ9t3HXP6vg3rlpO5Ib5y+84j5dW27IsJkQGBneerLFKuWmc5duK/31uEeO7bFiJJkySWBl4DZcv2w3bvj9C/Rzc3yb37T+Srgk2cHqsmeuCZLFH063CPoOmFEB6JcE8jFi/uB7JueaCkTPG5ykE7cPiskdNUGOQff/yp+66OH9VdhYGavs94J+eFDJV6tcua5XhGRMDhmtMn9Vd5ksyFMzRtPIgEopUABVy04ufNo4tAVOTAac+GHfsCxVtE16O+dffFQhsLdGcNO8xYNMIjc/b8dbunwxO3dcdRZ28RZcdruXu4YeVa3QwvFKNsgNF0o8QfJZTbl9aq3CtsmiC3zdLy582uQt2QN1S1bg85cuyCOgQL2DnTh0jDuuVl5ty10qNfWJGSr3N/qQpIwDMBsXf1+r3w4zWP1qJlW6VD11HR9NT6t33vvTgCQWFpRQvnFh/vhjIicJ5cuHjT7OP6dcrKlAl9Vcg3Qr8txdfr3/8w83JZXhsCYv/2EMmbJ5v07D9RcdQ7RhNMtRv1kZ17Tpgd8k3+HFK5QhHxGznLIc+qlYrJioUjZc78DeLTe5zu8ZrnMUe2TKqAi+bx0w7GmG9eWK3CqFNkrGyVL5nv62xq/iPLwNjUE2l6HwjUGxdWS8IP40vh0q3Di5JgzHjP4QFGiKq26RgRAYf7oqDT8f3z5Pnz3yRL7noesSkRWfPC65JATCdAARfTZ4jjixQCFHCRgjVGX7R2jVKyaI6/bNt5VHkXPN2wEP/hh5/k5u2Hnv4obhs/QiKXLxihQucQbmbLIMoyZUwlq9buMTvk008SKe/R5m2HzdqA5M+bTTKmTyUr1uwyOz5hwviyNHSE7Nl3UiZNW+5UOwK3PbSNC7VvXUtV4nSX/fOPSOceY2T+4s02L1mzWklZMm+4qsL4ZZ568urV77oCbmlogKGQReQpwgOmV9URwmxsgI94t6urioYghFLPIGqQ55ohfUrlpbPMc8U9vru7TYUmZshe0+oSuXJkkuULRpr9faqUn8l7772nvK9aARFHnOPFiyvJPv9UedpMw3rD8vUGyqUr5psNyEtDHmHvbs1k38HTUrVOj/BbZPsyvZw6tED9NzYWTIU2CtbgmXEfvfYYGzYfklYd9Qs24bxrZ1dIqpSfq7DMzdsOOXosfk4CJBBNBCjgogk8bxu9BCjgopd/dNwdZcrXLguUQ0fOScWaPtExBN4zEgloC/pO7evJwqVbpKPPaLt3g1cDx7rTVq/fq0IHY4KhaI//kA52h4IFO7w4MAgYS4+b6ckQcAN8p1iJWO0Y5LAd2zdXUCVSr3iJdpwWqtesURXpPTBIDhw6K+nSJpd0aVNIujQp1J+Rt4ZwSlwLgrFTd71Q2HdUqwPk0qXPVtNm6X4UKvrh3nYlJpNlqGT1jHnzfCkHd86yO2ZTDqbj9+42ShYu3WpouocNaid9unvJtJmrpc+gSQ7PwQbNtnWT5J133zUrroL7jxzWWXw6NVTPYjlnCIOF6X2Gv0drG+T66RmuPSN4oDRtWEmCp6+Q/r7GivY4fBgeQAIk4HYCFHBuR8oLegIBTxNwWIR4t60r+McZ1eNQiEPP0E+pdvVS6qN1m/bJt4//59J56M3kyBrXr6B2ajduOahCrlAGvEzJ/FKsSB5V2Q9hiqfPXlMLPsvmsI3qlVdFC3AezrdnCJf8/LNPVeiatiMMDsi1MWK79p5QRT4KF8wluzZNVeNCjpOpfZ07iypwMmzkLLMd+pjIHeNGIReE+mGHHX229AzV8KpXKaZyu1Kn/FySJv1Y5drcuv1QhYeCi6lp83nrzkO7/Qux4G/epKo6FXNr2j/P2XsamT+jx0CMQEAgVK5D15GyePk2u6cipBahc+4yLJjrNxsgW3cccdclI/06eL9/fLBTLfaTpi3vchNnzPvWtUEC0QHTBBzCOJUYS5tCCTKUvc+QLqX6LqLIiSPD9xa/D117BVodipBHhBEiL7FImTY2L4WwabQpwO8mQhUtTcvZW7IC1S/D2os4MvzWHdkzRxWDyV/McXg8vGJoq5Dk048kbxEvh15zhALjXQY7VMf09QuRCVPCvufw4l0+tVzixn1fhfSeu3AjfLgRDaHEhZo3qSzTJw1wyNURI35OAiQQuQQo4CKXL68eQwnYEnDos4OiI85agvjxpGCBHEpgWZq7cuAG92stA3q3lBcvXkqRsm2tdvoRarR/+wxVgADJ8wi5wQLf1fMcMUBJdRRywG4uFg6hM3x1nx+CCQUJUChCM61xLPoNoQS2XgI/jsUi7cb5Vao0dxvv4bJs1U51CSyIfnpkHs5ma7wVanSVw0fPC0Khju2bpwQMiiuY2tiArtK5Q30ZP3mx+A43z3dxlZ+r5znijs9RcGHrukny5s0bSZyijNUpWCijLDuKVdiyFat3qYUxeqXB+vdqIUP6t1E9oBBKZis0rFunRjLSr5PKj8mYo1Z4mJwr9zTyrEaPQYjajw92qMPzFW3usHUHxEutaiUdXh4VDzNkSCXDAmbarEwKdtg88TQBBw/Xo5ubVWuBj1OWdTkEFIwG9f2vUBMEXLlqXWTN0rGqQbcte/nytdy49UBtAqAQyb0HT+TBwyfqz/cffif43JZ5Na4sIZMHSMicNVbfWRSZ0X5TsFmE3EZbnjz0gUROacCYuTJqXKjD9wEH4PcO3jEIViNz3qRBBZk1dbDaNKnZoLfde8ALNnvaYGlUr4I6zlTA4bMRwzoJvoN6/ebcIeBQaRVVQvFvR5I05R02fTcEjAeRAAm4nQAFnNuR8oKeQEBPwGFBmjlXHfnt3wWts8+Bqnaj/btYneYuAQdxuGn1BEE/J4gilDbHQkUzTYRAhGJHGhX2YK6e5+j5NQEHT0eDOuVUIj2ql506c0USJIgvyBvyH9xB9XjCmFC97+Gj79VlUWXu5oU1Kr8F+StYjOiZVnHy52fPldBDvgdME3BYZIyd+F9LANNrNGlQUe1gawIOAgM715a5LhCHty6uUaFkXxduphaUpuYqP1fPc8Qdn9sTcGAL7wC8o/Bwhi7cJAePnFU5NvA61a1ZWok1VCScNG2ZDBw6Td0SXj00WMYiEItSWxUAcW14IOYt3KhaGGjz6co9jTyr0WOUR/fcSuVNSv1FVXn2ywujp9o8Diz2bp2u3mVbRVH+a/Cd09BiPsKDcuMF0HgaYYiOWqjYuyU87lvWTFSbLNgUaFC3nPLAlavaWeVwodDIvfuP5f6DMIEGcYbNFAinVWt3S4v2+vlY9u6J7xbGjVwwPZsxZ4307B+kPkLoYu9uXtLfN1imhKw0OxyCKHTGUKlbq6y07fTfBpERxDWqlhDk8mFzCL8xtsz0HTJSWROFZDAm/LbjN7VokTzhHjj8RuE37IMP3lOeP8v8V3cIODRhf3B9o/oeoZCJ6cabES48hgRIIGoIUMBFDWfeJYYR0BNw2O3Nnq+Byz21LHehtUd2l4DD9RA+gya7+H/THIWK5Qqp3W4Imur1esq+g2fMiLt6nr1p0wQcjsFiv2lrX6vd2k8/+Uj1lELRCMu8pHkhvmqxt3vfSalRv5furZCoj0XatJmrpM+gyeHHaALOlgdKjWltkBK7moBLkCCeyoWBYWdZE4NabhwWS2WqdNIdh6v8XD3P0dfFnoDr2bWJDPftqEJBi5dvpytkUBJ/WlA/NV8QxvC6wTatnqgaBuvt7uNz5BudPhwmmMFKq34XkXs6elajn+MdQwn8P//8U3mT3GHuEHB4f42WoXd1zA8efu/Q46h3be3d1wsrNjIWiLYrp5epcOgRY+epjaVVi0c7zCeD6Nu+frJuOLOR+zaoW1aV0Ydh403LO0RBEvSR0wQc5g9FbdByA78xe/afMrs8PsfGAwSls03L8ewXTyxRm0T4Lpw4dVl36FpfQojYnAUa280zxIbW3SvrJPFHicSnd6CkSZ1c+vTwChdwqNC5e/NUWbBkqyooY2nuEHC4xrPHu5Ug1xqtG5kTHkMCJBC1BCjgopY37xZDCNgKoYT37fbdb50eZYL4cdXCQc/cKeBwfYgSeOLwD22dxn1VrsLx/aEq7wyLqJGB83TH4ep5tmBoAg4iCgsTzbtmeTzuCzGFMK28Rb1Ey69D+BH6aGGnFxUDLc/XFj64HtowgKNmrgg4nAsPDRabpp42TUiib5O95suu8nP1PHsvoT0Bh8IcEDMQ1baaEsOD8fThTuUBLV+9S3gpfS3cDAUf0merER5eqY1Fa1QMLyUYahaRezr9ZbNxQvkyBVUPLlT4gyfdkaHKn9+QDtK+dW27h36YIJ7yYmOD56+//9Y9Ft9/HGMZTgcPz+RxvV3qH+lo/KafGy2MYXnNls2qqh53eFcwdmcNv0HYUELYedtOAar8vxEBB2/vtbMrlfhC6X5nDMLi1KH5kiVzWnWaaVVZbD5gE8JUwJ0/tliFtyJ/9tfnL61uVadGKeXRR64dwolRrAXiSa+CpuXJ3To1lJF+YWX8URjJNCICx4IPeFQsX1iG+E2XiVOW2n1UHA/P4t79p6Xv4MmC75upgMPJCD9fuXa3yme1NHcJOEQkYPOpVsM+VrmyzswVjyUBEog8AhRwkceWV47BBDytiIklSq0PGJL8r12/J8WL5lGlpqvV7Wl3h9fV8/SmUhNwWBghNMieXTq5TJXx9uk9XubMXx9+6OnDCyRrlvS6wnPimB5qcY2dbeyOm5qrAg7ewLKlCgj6T+3YfVx5Ri6eWKryvZDP9fyF9QLP9L6u8nP1PFtMHeXAGfnqYWGLTYeOPv9V0kNe2J3L6wT9p9p1HiFLVoR5LDW7fGqZKkaBPEHkCzprevd09hq2jse8Yn5tlYPXW+zCC4SNBHggNY+s5XFJk3ws77//nvLMY7PClmEjApUv4VE2NeRWVipf2F2PqXsdiA+t5xqE5NUzyw3dL2HCBPJx4kRKnP708y+GzgnbcAmrgAiDdwu5XfDmGhVwGOPj21tUfzN4gBFibdS0fDLMBzat7Ak4rQKlXm6yvXlEtUojofTYAMEmVIF82XVz7Dq2rSNoxH3txj1VOMmIKEQ0BXrjIZpCT8DZ4+QuAXfv6npBKCWiOWwVzDI6XzyOBEggcghQwEUOV141hhPwdAGHf6g3rpqgwt1gyGFBo1csXh39A+/KeXrX1AScXuEPy+MR3omFiWnOFY6B5yZwhI/yvsELpy0KsTBChTmEYJoKDO26rgo43Av3RJNmLHiDx/eR1s2rK6ECweLIYgJ3jNGogEMeHCpswuOB3lUotoPKgPBioGcXilh07zvBrOfZlAl9pJVXdauCCwUL5JQ9W6YpTypyY7QcS0tmrtzTEXcjn2uVATE+FHaxVxIf18Oi/sntLSoXEN5EvX56RkIojYwtKo/B3OL3LbIMXD9KXlq34IlRAQeu8MoXL5JHFVvaf8g85NvW2HHemSMLJVOG1IIS/jOnDLIr4PA7ku/rrIZQwFs6d7qv2tQxDbF2dDLyShG6i0q58Joh3BuGpthoao4xl6rUUS5cuuXoUlaf6wk4ePRt8xEZP7q7fPlFejWWyxa95bTzINYvXtYv1oX3ByGUGHehUq2s+tM5/RA8gQRIIFIIUMBFClZeNKYT8HQBB761qpeUxXOHK9QQIxAlRszV8yyvrQk4TQzZu7cmlOApaNRiUPihHydOKLcurhXslKM6m1baXhsjQqywQ29ZjU4TcFhMLl8dVpnS0kqXyK/CgLQcOHzepkVNmTyulyxYskXGTJgv8AjB9AoC2HoeV/m5ep7eOBwJOFQiRU5mlYpFlFizZ5YCzlSoIRRR2xTQPKLbdx1TobuWFpF7GnlvHR2jtQXAO4Hwzx+f2vcowfMLD7C9Ah6eKODACRsfjix7towqDw2eM4T+xYnzrvISGfGGaTmTlvcwKuBwHiqeopjOxClLZLBfiKPhqs8hsiaM7qHGiyI6yJG154EzdNF/D8Jcnzu6SIVbYgMAGwFGDTl9m1dPUIfjd+zYyctycOdMyfZlBt3iKUavayng3CXOTZlZjgW/mfDC43uE77+tjRqjz8DjSIAEIocABVzkcOVVYzgBTxdwqEaG3BOU2Ych3Abhk452sl09T286NQE3xD/EZi8y7by5IUNU3zI9T1fI5P7i1biKrFm/N7zBLPJGsBicHbpOuvUJWxiZmittBHD+l1+kUzv4N289lOOnLgmaHU+ftVp6D3TcWBfnu8rP1fNsfY3sCTh43DavCRL0kkLeYOiiTXLp8m359skP8uLFKxUGiJDRXZunqQIxlgIO9zx3dLGqHorCMfAoYOF45/JaQThhsza+Vrl17rhnRH8y4G1BGwF41uCNtuVh0O6jheIhh3TS1GU2b492EGgjMHT4DN28I8sT8R2M6Yte01L1+I6hyiuaTM+at1a69zW2EaQHzBkBBw/V8f3z5OatB5LHJJ/S0XuA8F7kIqZNncztAu7SyaWqoXjCzx23l7AcZ+cO9WRsgI8Kx9134LTUqVlabG12OHpG7XNLAYd3e+HsYXZPL1EsrxLwaCXz00/6mxjnzt+QwEmLdK9jWgwoSZoKTglZo8/F40iABCJOgAIu4gx5BQ8koCfgsOPYuOXg8Mp6zjxW/PjxZMzwLqppsqW5u4iJaRjfwcPn5MDhM6okt6MwSlfPs8VBE3BzF2yQrr3G2cWlHTt89BwZPX6+2bEo0Y7+dVpFROQbocEyRAPaIWCBrWcogW7E7t5/bObBQ6l8VI7DDjty3nIVaBxehdHe9Vzl5+p59sZiT8Bpz7d+bWUMFQAAIABJREFU035p1maozd5e6K+HcEc9Ade7WzPxG9w+vPkxcrhWLxmjOCFX0LJYgzvuaWQuHc1PWMn/7NKjn3lYqOV5EDBYbCOc1p2G3xBPyBtCPiq8z5jHXN80kVevXsvl08sFxVgKlmztUkVLcHRGwGkFO7CJkL9Yc7l2475TU4HzHHngUAjJiKHdhupJd36V2vj4PH1FI6eZHWPZvw2eTIQgOgprt3ej6MiB0/L2tGbsToPgCSRAAlFCgAIuSjDzJjGNgJ6AM1r8wNazoO/YrKn/hQdqx7lbwA3o3UIG92ujds3RmwpV97Smskg4xwJSL//H1fMcCTgsftA42VbOEXbMb1xYLSjxjabf8LRZmtZbrO/gYHkvThzVKNrV0uaW10ZftF9+/S1cdEwK7CltW9ZSh/X3naLaMZgaxqlXzMRVfq6e54qA06r74dw8hZrq5nXhM3gZrpwOK3ShJ+AQjoiKndjx/6pgE9WkGR7UkNmrpdcAc2+lu+4Z0d8IVJVE3zGIT1Nvrq3rIicTFUn1rFjh3KrFBQplvH79u8ohxMbD4yc/2hwmqgOi12ClWj5y6Mj5iD5OpJ0P4bRojp/Uql7KzPvc26epqsqJfm0IO9arcuhoUM4IOFyrX8/m4jugrYwev0CGj55tdfnMmVJL3txZZcWaXVaf2RdwawW/Jb880e8vaXox/G6Vq4ZKkpdVYZUXL17KF1/VdfSoVp8n/uhDmTi2p/qewF6+/F18A0IUY1ctqgWc6bsxZsJC8R81y9Wh8zwSIIFIJkABF8mAefmYScBWCOW6jfvkxKkrTg86QYK40rJZNd0FoTsFHJL+N//bNBfewg2bD6ixIvEe4UioKBcwZo6MGmfu5XL1PFwb4Ti4vmUSvmkfuDbetpvgaj3C0BA2R/5GVr3icI/WzWtI8PjecvnqHZU8nz1rBuXVg3fPWYP4wAK8WJHcqsIgwiZNG9IunO2nwpuQX5f2y+pm3iQ8K8p4o0E18kQ0c5Wfq+fZ447PbHngtDLqOCZJmnLy+nVY43NTgyhbu2yslCv9jfprPQGHv0dJfpTmD5q6VNq1rKWKfaAv1LkLN8yu5857OjvXlsc7W4lS7351a5WWWVMGKc9lldrdZewIH7uNvHENvLMHdsxQ7RvQe+/seXNGEX0ud52v5ZChuis8Trm+aRwe7qkV8YBwRV81iDhnQ0GdFXCaJxBjwUaBpbeqbq0yMn/WMPELmGkV8ufIA9d74GTVA86R/SP/yBC/GWqzA4IPnkC0LXHGShXPKzOCB6jf/0fffi8HDp8TbOjB0HsO1Um/fWxd9t/RPaJDwLECpaNZ4eckEDMIUMDFjHngKKKYgCfmwKFkNvLeUiRPKnMXbJSuvQLNqGGxs2DWsPCF58Ej59Tnrp6Hc5HQf2L/PIkXL66MDAyVEWPnht9TE3DoAQUPhVeboVYl1Ft5VVNFB5Cf1K3PeJkd+l8LAdPBo5z4rUtrlZcOhhLeCNVDXyZbhmqKmTOmlqxfple5XChKke/rbKpdgamhwmWxcm1VUQt49rp1ahT+cbW6PczKZGs961AYpXXHsAIxrvJz9TxH3PG5LQGHXLu7V8IY4/3Ae2JqeHdQjATFTeBdQg6lLQFXr3YZmT9zmAo1RTgrBDxyyyzNnfeM6M8A3lP0sEJxHPTlOnzUuCfs888+lrEB3aR+nbJK3Lds76daTYSFZWZT3m5sMOgZBBxCEjNmSCXZ8zWUBw+/i+ijuP38Tz5OKFMm9FWeN4QrYwPIdJMCN8T3FKGyZUrmV8+AjQzLtgj2BuasgINoHOXXRbp6N1C/DfiNMDV46FDspEV7P9Vc3tQ0AYfxtWgXlhdWvOjXsjQ0ILwPnDMQEU6MEMqDh89KpVrdDJ0aP94H4j+ko3i3qxvW823tHvHpPU5++fWFVCxXUKYF9VffsWe/vJA+AydZteVwdJOoFnBag3UId7zHtlprOBo3PycBEoh8AhRwkc+Yd4iBBDxNwGFxsH7FONXDDCGL8ITo9RTSCoIgrBKLbYgWV87D4h6mecbw5zPnrknx8u3DZ1MTcEMDZqpGuP16eqmd59NnryqvHfJP8nyVRR2P3m89+oU187ZlqA6JKpEwFN7o3GOs7qFYXAaO9FGlxJEvZ2loMo0QtiPHzsuho+fDG4RDuEHAIWQKIVkIdYI3qWzVTuGeKlRuRLig1tQ7JnLH89rLgYMnE/MGw/Nt3XFECeIc2TNJjX9zNBHKilYByNm0JeAwpyhcAq8uDCFpU2es1J0Td90zoj8VEAQjhoWJdCP9CXE/hNh27tBAOrSprfKfrl6/K41bDFYeGaNVKCGMEXL6119/S9K0Ma/wQ61qJWVMQBflIUJoX9vOAYIcST1LlDC+zJsxVOWzweYv3iIDfKcoUeLInBVwuB560Z05vEBVjEUhJm3jCexXLhqleujBc4/QTlPTBJzemLRG3o7Ga/o5flfQYiV00Wbp3GOMw1NLl8gr40f3UB5+NAjvPSBIFi/fZnYe3i00ckfLDtimbYdkxJi5hlsKRKWAA+8VC0dK5QpFZcBQ69Byh0B4AAmQQJQSoICLUty8WUwh4GkCTssVwY6ovZ5CCHM7umeO8pxhZxoeCOSYOHseSmFD6GABsml1kKRNk0y695lglotiKuDGTVqkms42b1IlvDIm5vrHp89Uk26tybC9+S9cMJfs2jRVHVKyYgc5deaq7uFaJUmEuN2+861cuHRTLYjw/8ib08SndjI8dQG+3mqXH6Z5pratm6waoJvmSyF8EuGbmhclJnLHM9gTcPCiDB/SQTVBx581w3wiR3Kw33RVGGbZ/BF2BRzO0/IFUewC7Rye2qhq5857RvQ3Al6wC8eXqPcX7SGw4aFnaJfQrFElaVy/ompjge9I8IyVMnbCgvAmznoCDh4ViHx4sf74443Ejfu+VChbSHl+Dx05pzx/McEQKgtBhSby2kYKPIjwVl29fs/hEDu0qSMjh3kr7ztCGyGKULHSXnsGVwQcBgKv4OK5/srzibBVfI/hjb95cY08ffpMCThL0wQcCusgCgCGzQa0s3BWwMWL94GKXqhSqZgM8ZsuE6cs1eWDUHJUrsX/NE//8ZOXpLX3cLl331xgml4A71ngyG6CfGDYnn2nVE9MrW2KrcmISgGHCIZTh+arNhI5CzQy1HTc4UvEA0iABCKNAAVcpKHlhWMyAU8TcNHNEgt0LFhNzVLAaZ/lzJ5RMmVMo7w/lrvm9p5Dq3yI8u+o3mbPENKG3ELL/nCW5yC0EwUbUJkQhnYBWlEBeE3wDFiIYWGLprfI/8GiCgI2Jpged4zLUR84HAPxjT5UaOCNBThye5CHGJkWHfe0fB544eaFDFWhkHreFMw7iv5kzpRGnQqht27jfhnsP91qEa4n4BBO+vDGRuWtMzXkPiH07u69x5GJ2OG18c7Dm9ioXgUVbg17+vOvEhS8RKbOXOVUWFyObBlkRvBAldsHg8hdtmqXBE9fpisCXRVwuHafbs1UERoUjVmzYZ+qiAlhp1e5Fsc7yoHr2T9IlxVCzV++fKUECsQ4BH/VSsWUyMW7gIJMpqIfnugaVYurVifI94QwhiEiAWGfi5ZtM1RqP8mniaVj27pqbvBnGIQnWlggIgCtPSwtqgQcvjNTJ/aT5k2q0vvm8BvGA0ggZhCggIsZ88BRRDGBH+5tV0UZosLcVU0xKsbqzD1sCThnrqEdi0XR1TPLVYgXFl7YQXeH9e3hpTyD8AR26DrKKucHi90dG4JVWwEYPE0o3nDi1GV33D7SrlG+zDeybvk4Jao/SVU20u7jqRfGe3T2yELVnBreVNNiHBBl8LaUL1tQFi3dKiFzVsut2490H9VWCCW8d1iEI4QXi99btx/KlWv3bLZsiEqOpnmr2ECZv2SLTJ+5Snm3XLUqFYtK/17NVY4pRE4Dr4GyZfthq8tFRMDhYm1aVJegsb3CRRLmDeHiesVU8JybVk2QfQdPi3e3sJBH5GMiD+7O3Ue6hWQwn2uWjpUKZQtajf3pT7/KwKFTZdGyrWafaV54/CUqVEJszZm/waqYj1G28PZCKPl4N5D06cLydafNXC19Bln3oowqAQehj6q08GbS+2Z0JnkcCUQvAQq46OXPu0cTASTqI7ciKmzytOUyYGhYaODbZO4UcDWqllDFB7ArjlA9I/k2RlhigY0iKii+YquiHgqoYAe+TKn8KpwSzXdjumnFWO7c/VZVEqRZE+jfC+02Wsu4SYtl2IiZZgd88nEi5fHQaxdheqBWmTF7tgzSpNUQVZ3RE6x2jVLy9OkvqpmzOw2VSwsX/Eq35D/uU6JoHlUoBZtWKDziiqGKLHIzM6RLqXJnkYvoTkMecdVKRVXeLjyKCH28//A7OXz0nG54aPz4H8jC2f6ydcdRWb5qh93CSs6ME5tWdWqWUmKuVQd/3fBkFEdBripyT+cv3uzw8mil4e/bUb7IlEaQm2wrfNjsHf+3/UbPrk1l4LCpVm1VHN6UB5AACUQLAQq4aMHOm0Y3AYTOBI3tqarLaSEx7h4TvCPIQ0PxBxSReNvMnQJuy9ogQQXIJSu2S7vOjkt/v20sjTwPQj1RGAaLZITHofiDvWIvRq7JY0iABEiABEiABDyPAAWc580ZR0wCMYKAuwQcioacPBjWtw4NdY8evxgjni+mDQJFSdACQDPk7VWp3c1uUYmY9gwcDwmQAAmQAAmQQMQJUMBFnCGvQAKxkkC7VrUkfboUsmPXcdl/6IzLDFC+u2zpAqq8uWmfOZcv+JaeiLwrFFNAaBwKkqCHFypx0kiABEiABEiABGIXAQq42DXffFoSIAESIAESIAESIAESIAEPJkAB58GTx6GTAAmQAAmQAAmQAAmQAAnELgIUcLFrvvm0JEACJEACJEACJEACJEACHkyAAs6DJ49DJwESIAESIAESIAESIAESiF0EKOBi13zzaUmABEiABEiABEiABEiABDyYAAWcB08eh04CJEACJEACJEACJEACJBC7CFDAxa755tOSAAmQAAmQAAmQAAmQAAl4MAEKOA+ePA6dBEiABEiABEiABEiABEggdhGggItd882nJQESIAESIAESIAESIAES8GACFHAePHkcOgmQAAmQAAmQAAmQAAmQQOwiQAEXu+abT0sCJEACJEACJEACJEACJODBBCjgPHjyOHQSIAESIAESIAESIAESIIHYRYACLnbNN5+WBEiABEiABEiABEiABEjAgwlQwHnw5HHoJEACJEACJEACJEACJEACsYsABVzsmm8+LQmQAAmQAAmQAAmQAAmQgAcToIDz4Mnj0EmABEiABEiABEiABEiABGIXAQq42DXffFoSIAESIAESIAESIAESIAEPJkAB58GTx6GTAAmQAAmQAAmQAAmQAAnELgIUcLFrvvm0JEACJEACJEACJEACJEACHkyAAs6DJ49DJwESIAESIAESIAESIAESiF0EKOBi13zzaUmABEiABEiABEiABEiABDyYAAWcB08eh04CJEACJEACJEACJEACJBC7CFDAxa755tOSAAmQAAmQAAmQAAmQAAl4MAEKOA+ePA6dBEiABEiABEiABEiABEggdhGggItd882nJQESIAESIAESIAESIAES8GACFHAePHkcOgmQAAmQAAmQAAmQAAmQQOwiQAEXu+abT0sCJEACJEACJEACJEACJODBBCjgPHjyOHQSIAESIAESIAESIAESIIHYRYACLnbNN5+WBEiABEiABEiABEiABEjAgwlQwHnw5HHoJEACJEACJEACJEACJEACsYsABVzsmm8+LQmQAAmQAAmQAAmQAAmQgAcToIDz4Mnj0EmABEiABEiABEiABEiABGIXAQq42DXffFoSIAESIAESIAESIAESIAEPJkAB58GTx6GTAAmQAAmQAAmQAAmQAAnELgIUcLFrvvm0JEACJEACJEACJEACJEACHkyAAs6DJ49DJwESIAESIAESIAESIAESiF0EKOBi13zzaUmABEiABEiABEiABEiABDyYAAWcB08eh04CJEACJEACJEACJEACJBC7CFDAxa75jrKnLVYkt0wP6i+JEn0o/qNmydwFG6Ps3rxRzCeQKuXnkiB+XHnw6Hv5/fc/3DLgd999V/7++2+3XIsXIQESePsIxI37gaRNnUxevvpdvn38w9v3gHwiEiCBWEOAAi7WTHXUPujFE0slY4ZU4Tft7ztFgqeviNpB8G4xkkCa1Mnk7JFF8tvLV/Jlnnry+rW+gGvdvLoM9+0os0PXy9CAmQ6f5eDOmZIo4YfSsoOfnLtww+HxMeWAePE+kNbNa8i3j/8n6zftdzisAb1bSNVKxWTUuPmyedshh8ebHtDVu4HUqVFaQmavkeWrd9o8t1/P5lK7RmkJmrJElq2yfZyRm0OsL5nnLxOCl1o9X7NGlWX08C6ycctB8e42Wl3Ox7uhrN24Tx4++t7I5WPcMR3b1hHvtnVl8fLtMnbiArePr2WzalK/dlkZNT5UDh05b/P63+TLLuNGdZNTZ65Kz/5Bbh+HJ14wfvy4cu3sSon7wfuSPV9D+ennXz3xMThmEiABEhAKOL4EkULg/rUNkjTJx2bX7jckWKaErIyU+/GinkNg8Vx/qVW9lIwYO1dGBobqDhyi5tLJZZIieVJp1sZX1m7YZ/cBS5fIJ5tWT5SnP/0imXLWlj//fOMxQFp5VZMpE/qqxWSB4i3ku++f2hx7nDhx5Pq5lYpLoVKt5OLl204955a1QVKyWF6p17SfbN1x1Oa5h3bNkq9zfyk16veS3ftOOnUPy4Mhwnt2bSK79p6Qmg16m33s1biyhEweoIRdk1ZDpEbVErI0NEAeP/mf1G7URy5duWP33gUL5JQknya2e8zz57/JoaPnZEbwQPnk448MPcs///wj7TqPkF9+fWHoeNODGtYtJ3NDfOWPP/6UEhXaOz1H9m74zjvvyJE9cyRXjszS3/e/39OkSRLL33//YyZIypcpKOuWB8qe/aeker2eTj9Hl471JfFHiZw+z/KE3357JUFTl9q9zjvviIzy6yIlin3t8v1CZq+WBUu2ODx/YJ9WMqhvKwkMWiTDRjjeGHJ4QR5AAiRAAtFAgAIuGqDHhlu2b11bJo7pYfWofQZNlmkzV8UGBDHyGSEAvsiUWrJlzSBPn/4i12/el+9/+CnKxlq8SB7Ztn6yvHr1u/K+QXDpGRb8WPjDcAwWp3o2beZKGTtxoRJvEHFG7KPkpeWvv/4ycmiUHaMJqy3bD0v9ZgNs3rd6leKybP4I2bnnuNRq2Mep8b3//nvy5PZWeffddyTVF1XVHOjZZ0k/lrtX1isRnDJzFZvHGbl5ggTx5Mb51fLJx4l0xWDDuuVlbsgQ5Uls4DVQ3hERvyEdpJdPU3n2y3Ml+OBB0jOImY2rJjicd3hji5VrJzcvrFbC14i9evVakqatYORQq2MwLohQzNWJU5eldGVvl66jd1KRQl/Jzo1T5Nfnv0mWr+rK8xcvBeJn1tTB0qheBened7zyWMMiIuDwDFfPrBB4yyNq2JDApoo9M2Xmyv3w6zDUf4aMD17s8HRsLMIL9+bNG3rhHNLiASRAAjGVAAVcTJ2Zt2BcfXt4ydCB7ayepNeAIBXC9bbYBx+8r3bbY7LBoxXg6y3w9sSLF9dsqGfPX5deAybJ8ZOXIv0RVi0eLZUrFJGZc9dKj34Tde8Hr8qWNRPVOG/eeihx474vadMkF3hFbt1+ZHbOnAXrlRCdNXWQWsxevHRL8Kx582RVxx07cdFK/FWs6WOVK1enZmnp1K6e255/2qxVsmb9XsPXw/OdPBAqCRMmUJ6fJSu26567a9NUKVwwl1Su1U0OHD5r+Po4EOfhfD1PmOmFGtUrL3OmD5GDh89JpVo+Tt3D8uB2rWpJ0NieygsFj6Gl1a5RShbN8ZdtO49K3Sb9wj/u7dNUCTmI94o1usrV6/d0x9GnezPJnjWj+ix9uhTyTf4ccu3GPblw8Vb48fcffqc8LblyZJL33nvP7vN8/tknsmbpWLly7a7yhrpqyZMlkZMH5yvhCmEKYR5Rg1ALnTFU6tUuqyIZENEAg/iBOMU9i5ZtK+cv3lR/7y4BB+/ZDz/87PTwP/roQ+nfK8yj7EjAaRfHszhjODxwhI90aFvXsIDDORNG9xBsMtIL5wxtHksCJBCTCFDAxaTZeAvHgn/Ah/RvY/VkyMmYMcezRVz+vNkEIvXxkx+le98JMXb2MqRPKRBOWbOkV0ITCzwscj9L+okKk0v2+adq7L0HTpLps1ZH2nOkS5tCLp1cqoTYVwWbyL37T6zuhbHu2xaiwm/hWfMbOUvgNdy/PUSNtX2XkbJ4+bbw8778Ip0g9+3DD+NL83bDZPW6Peqz9SvGSbnS38gA36kyefpyh8/UuUN9GRvQ1eFxRg/oOzhYps5wLlwYeXDB43srz1O+os2tQik179vps1elRIUORociKNwA6+XTRAb1bS2D/abLNJN5RuEX05DT2dMGS+P6FWT46Dkyevx8w/fRO/Ds0UWSJXNaq3nTjoWYx7tpGeaHZXzAMG/p3rmxnDl3TYqXb293HNrx3To1lradhruct1esSB7Zvn6ybNp6UBo2H2R1T4gkeBWNGPLUfAe0lQuXbknT1kOMnCIvX762GUIL7yG8YvCgmn5/wBec4ZVLlblq+OaEOwRc6lSfS/5izeXajfuGxm96UMoUnylh6YyAc/YmYQKum3RsZ1zA4R74nTl/bLHizVw4Z6nzeBIggZhAgAIuJszCWz6GgX1aqoWjpUH0zJq3zmOffurEvoKCAnMXbJCuvcbF2OfYvGailCqeT+7c/VYatRgkl6/+l1eEpH7f/m3Fp1NDJe5KVeoYvoPv7gcaNqid9OnuFZ7vpHf9lYtGS5WKRZRHpl7T/krswbJnzSCHd89WYyxUurXcvfdY/f3yBSOkWuXisnTlDmnbKSD8kgj9OnVwvrz3XhwpUqatChW1ZxCx8IK5yx48/M5uaCoEp6WvAd6HOdMHy5lz12V26Dqz4i4QsQd2zJDMmdIoMWRZ7OTvf/5Ri1FLg+hFPps9g6AvUiZskwXeZIQ8IozSiCFPbcfu47qHVixXSHmznnz3o2TL20A3L7Fo4dyyY0OwnDx9Rb17pgahAk8JhPDN2w/tDgfs8Jy5c30hmXPVsSmCcmTLINMn9ZcTp66oDQtLa928mgSP7yuTp62QAUOnmH2Me0BsVipf2Agal47ZuuOIeu/1TMvd0vIFtWPatqwpkwJ7WXlWPVHAofBVooQJnGLXo0sTqVenrGEPHC6OuUQubs1qJVUeLvJxaSRAAiTgSQQo4Dxptjx4rNriw/QRsDiHiNNyNjzt8TxBwNWtVUYWzBqmcr4KFG9pU8hoOWTwYMGTFRmG4gtYYHf0GSULl27VvQUEBEIZ5y3caFVAAhUUs2ROJ1NnrAj3CMC75OPdQIXkIoTS1Nq0qCnFCueWydOXydnzMasq5b2rGwyLJCNzgZLoWXJbh4BqAg6tGiyLoyAnDl4SUwGneSKRH/T777bDghGmClFZq2Fv2bnnhNUQIZzhScX9fYfPkPGT9XOTENZ4bN88FSIJT48tQ4uIlCmSyqNv9Uu/o5AJCifBs5y/mO3Qx8b1y8vsaUOsBH/Yol5kxLBO4uPdSHr0s95cwufTgvpLSZNCGxDi8Ba/ePHSZj6n3jPBm4Z3/Yf//SzIt9Ns38Ez0qn7GKtTcPyJA6EqJBMhwIePhlWfhBDB9xshwPiOm3pSMT+YY3hY9UK88fsLz6ZeeKqWAxeVHjjcc8PK8VKmZH4jr7zZMc7kwGkntmhaRc0nciQRekojARIgAU8iQAHnSbPl4WMd3K+1DOjd0vwf3n/+EZ/e45UXy9PMEwSclnNm6aGyZK3t4t+6/VByF2rq9qn49JOP5MH1jWrBCW8MPFT2DF6Or3Jmdts4UKhl/uLNbrteRC+E/ChH1RPhiUC4HjxrluLU8v7wcuktQjUBd+jIObXwN7VMGVPLheNLwgUc7nfp1DIlSGwJM+187b1CkRHk1FnaiH/DH/H39ipZwlOKghIQoKUqeUu6tMklXZrkkj5dSuURDfvvFAIhAVGY9ev6uiJOy6VDCLCeZ00bH7zAvbt7ia9fiEyYssRs2Hg3VywcJZUrFFbFU4xU30QoHhjef/BEvirY1FAfwo8TJ1KhhdrzOCoihHGhmiRCgl+//l2SpCkfPm54ji+fWi7wpFv2QMR5Wk6ZXn9ECLhCpVqrfD9Liw4BhzEgLw0hoc4Ywl5z5sjklAcO18c7dvnUMiV8035ZXZ794nzFUWfGyWNJgARIwJ0EKODcSZPXckgAOSHoMWVqWEj49B4Xbc2+sQhq27KW5Pkqi6RNk0ztVqMHFcKs5sxfb7Z4RoPyQgVyqeHXrFZCFctATtKGzQfDH2n+4k3yvx+fmT0j7oHS+XnzfKlKgMMbAs8Hzt20Vb+XF/KQ0EMLPbIQAgjvFXansWBBiBuKj5w+e01WrNlls5ea1o+vW5//qtPpTRL6iq1YOFLt4H+csozDeXT2AK08PBa6yDlxZFMm9JFWXtUdHWb4c7BCJUJPMq38/oTgJTLEP8SloTsj4LTvpqNKmBjI2mWBUqFsQV1xBqEBwaGJB03AQcRj0YxiI+nTplB5SAgJLVHUcel4eBAh+lt28Lfq8QfPGAqlwOOKEGFb3yeMByG3VSoWVWGKCNM1NXx+7ugigbDN9U3j8DBde+BxzrL5AaovX4v2fuE5mPbO6epdX0b7d5Xlq3ZJa29/h/PauUM9GRsQJr5Nq2PiuUcO66zCn/Vy9twRQgmBDS+hK1Vb4TXF715MzIEDS1ORau+9cThBPIAESIAEooEABVw0QI/tt0RlShT/MDWIuC49AyV00aYoxdO8SRW1+NMKPVjeHH2gGnoNlINHzqmPtDwue4O07M+0P5THAAAgAElEQVSF6n8LZ/vZLGEOgYb8rRe/vTK7LMqFo2y4V9uharEROsNXsCiyNIgTVLpD7yxTQ4jWd3dQNv5d5VFBeJYt04rNXLpyWwqWtK4WGNFJ8RvcXnp3a6YWuEZCNAvkyy6ZM6a2e1vsumtFLmy1pkC7BJSk90QBh+p6ndrXi1COjlEBV6dxX4HYjxPnXclXrLlD8aIVialWt4fsPXA6fJ5QxREhkVphHHwAAYfv0f7tM+zOJwTa3fuPVXEb/Pne/ceCCpL4b4gALR/S8iJ4vy+eWKJK3mf9uoFV6C36kGkLdhSuQJ6VnicP4YY/Ptih7pMkTQXDogV99dAGwlCxlXfeUcUzMIayVTs7rPyaI1tGlfuoVY41FXBgjF6JqNJauHQbs9xWPK+7BBw8wHoePEe/CZgXeJBjsoDD7zK8t2MmLBT/UfZzRR09Lz8nARIggagkQAEXlbR5r3AC2oLeUsR17jE2ykLdShXPq/pIYaGxbNUO5UU7evyC/PXX35Izeybp16u5anqMBssQNRBI8Ljl+eoLNewmDSqp0uzIR8H5mqHp9M/Pnqv/xG7/knnDVS4Kig8Eh6yQK1fvSuLECZXHDxwQMoQ8FDT9NS1EoQk4VF1sUKecWuyh7PWpM1ckQYL4giqY/oM7yBeZ06iCGSUrdlCeQ2cNz49KjhjPwqVbpKPPaGcv4fD4aUH9pEXTqqoHIHoBusPKl4GnZ5zdoihag29PFHBaw3OEGMMT7IoZFXCtOvirIjFTZ66UoQGOmxvjewNvcNU63c02BjRhh7wi5Mmh8ikEHHq5nT68QImxew+ehIkz9f9PZPa0QZI6VTLJW8TLYbEZPQb165RV5fX1DGIsfbYa8uPTX1SY4Q/3tiuPespMVawOR0XTM0cWyu07j1SVR6OGzZWje+dKzuwZBYLW3kYJvJbwXhp5H7GpBNGLPEGIZLzLmoDT8vW6dWqkm8/nLgEX2Tlw9WqXUb+jEbFsX6ZX4bZoOXLn3rdml1q5Zpfio2dgOG5kN+nYtq7MW7hJuvQcG5Fh8FwSIAESiFICFHBRips3MyXg/2/DXtO/w4LLaChSRGmi0ThyLixLmGvXhQcLi1pUQBw4dJpMmrbM7JaOcuCwAENIFhYX4yYt0l0Y4x4o9oDwSMuS95qAw00R1ta0ta9VMQKEpSHxHwt1V8UXPFSYC4RPIo/KtEplRBlr569cNEqJWf9Rs2XMhAVuuezbLuDwXsATicbervYRMyrgUIUSYa7I+8ImAsKD1286YNPrpTUer1K7u+w/FObZbd28ugSP76M2OtDmACG52PCwlwOn3u21QWqjxJXnxObDqUPzBeILhlBjbRPki0xpVHsJTcBhgwLfZ2zSlKvWxeod1No07Nh9TGo36uvUO6oVxLDXYB1CD9+DSuWLSKfuo2XBki1279GjS2MJGOqtCrNUrOGjirT8J+DCKmJCROct6qXrMXWHBy6yBZytXqFOwbdz8Khx8yVgzBybR2iRB7baRrhrHLwOCZAACbibAAWcu4nyek4RCBjaUVAG2tSwAPziq7pOXceVg+eGDJGGdctbNRE2vRYWtfjf+Ys3JHj6CqcEnCaMsKOfv3gLm82+0bh6z5Zpqtw68sO0inGagENFwJwFGtv0rmkhXMhTwWLOstm1PTZogzApsKdqcIxS2iipHRm2d+t01WQZ7RaMFKz5KNGHcv38qvA8Kr0xvRcnjvKqgM+r13/oDls7xojHIzKeOyLXvHF+lcqBRO4exu+KaQLuxq0HMsaip1uyz5PISL9OZlUocY95Ib7SoG45CQxaKMNG6IeVoVcacjEr1OgaXhERAmjOtMFSvnoXdU14dY0IOJT1Ryiz0Z59phy0puP4O2z+lKzYUeWVQiyhPQE85JqA045FeObhYxescGbJnEbyfZ1NiaFj/za137XnuKGecghxRDGWpEkSq/5xm7dZ57Xi/d+9earyzmfJXddm3qo2sNo1SsqkwN7Ks47qm88e7zHLgUO4aiuvGjJmgn6vPk8QcAk/jC+JEn3o8NWGt2zKhL5SoWwh6d53vGzept8YHfzhbdUM1UHtFQBq06KGTB7XW0U3lKnSyeE4eAAJkAAJxBQCFHAxZSZi6TiiU8A1a1RZZgQPUOTRVByNoy1LrdubFkceOCwg0ecqaOpSGTRsut0Zfnhjk8CbVrFmVzl0JKxEuCbgsBhEjps9Qy4MikIYDbeD52+0f2fp0KaOuixCQDt0HSVv3vwVKW8iFq6Fvsml2kYY6f2niVJ4BX98al4QRhsgPJxghsp8WsiqrcHDq4jKgtFtPt4NBUUpjBjEG4QIhL3RIhJTZ6wya1zubB84jAshafD+JUyYQOVfrlm/12q42nxi0YvFLwz5TsXRCHvXMfXfRgUcwgAhJBEmivfXqKFM/ulDC1QIMYoGYfFuT8AZyV+1vLeR7652DgTs0tAAJRjKVPY2K8+PDYmje+dIurQpDXnfcE2IG8wf8m8Rgm0p4Bxx8gQBpz1DwoTxZbRfFxXloNfzT+vbhs00WxEaaImxb9t02bztiKpEauQ706FNbdVr8MixC2rjgUYCJEACnkKAAs5TZuotHKdWZc/00aIyhBL3HRvQVdD7CoZE/eMnLwtCqFCh7sKlW3apOxJwd6+sF+ySh8xeLUdPXLR7LbRXQL6Qd7f/Qqs0AYceWuilZc/QMBmNk7EAQrinPUOVPfSOQkgZnnnUuNBI87xp49Aabhv18qE4CUrRr1yzW1p28NN9HCMhlDHtazOkfxtB2FZk2ejx82X46P9CxjQBh5yzWfPM8+iSJk2svN+mfeC0cdWqXlIWzx2uwhFLV+4ol6781/wdx6CwBrxVCJWEx0vPjAo4VHbdvj5YefLg0TNqWu4bNjjQsw7FKOwJOLz3+D4aMeSbDerbWsZNWixDA+x/90yvp1XyhNcdnjNsLMB7NHvaYGlU7//t3QeUVFW2xvFtFhM6mBBRzKI4KmIgKZIEBAmSJecMgmQkB0kCknMQkCgIIgiKoBhQVBTFiIiYc0LFML71nX63raqu3FVd3e3/rDXrzdA3/m51v7trn7N3RVu15kkXgMQ6ggVwquapFguhRrFrL7ehA9u5Hoj9B4f+m6DiK4FZKt8KjVrX9/4HH8d6ya5ok74IiKaISb+ezZz3Tz/9Yp16jLFVa7b6nS9SAKcWGJvXT3GtR9TWQtNxg/W+C7wJnVPnDmyOHvPNsgMCCCCQxQIEcFkMzunSBLJDERPvWajSY7uWtaxCuRtN35R7Q5mPxcs2usIbKqUdOMIFcHqh+Hz/ppgft7KAQ0amTVvzAri7e0+wWfPWhD2W1h5pDZIqWqokdqihl15tq+v7+JMvrEX74elT4GK+2Bh28NoC6D50P5GGAkw1IQ+XUcyJAZwKe5yQ5/hIt2+zpvSzyhVLuABAzZvnLVofVSDxy6+/+U3Ni2UNXOBFeV+wqE+Y1kb6vhBrLZm+ANC/q2BJsBFtAKfM3cF31ru+aOdddkeGKpKhsM4/L7+beqxAadSQjhEDuIjoPhvUu7O8zZsx0O4bv8iG3Tcn6l21Jm/10tGuxYLW1irrW792eZs9dYCrrKm+a6rIGesIFsAl4ssA32mnvtfkBXCq7JnZEU0Ap3Oo4uqIQe1dg/Oho+b6TQ1VtnXT2kmuKq++EOvRd1L6Zen348G5Q12Rlxde3GPV6vTwKwYV6vq99hNqITN34TrXyoaBAAII5BQBAric8qRy0XVmpzYCvqx6gSx+w1VWtsz17gVML6gaqvBYuUbXDBXywgVwepH79uMn3NSnKTNW+E2nCvcoNX1ImQgNL4BTDzD1Ags3vPV8S1c8bq07jsiwqa5nwuhurt+dhr5x7tBtdJY1r/WauEcKML0L96aEKpukNUnBhtoIdO/c0GWANHUw0vjm2x+CNp2OtF9W/1zFN1QNUdNZy1RqZ4+vm2zHHnO0q4yotVCxjMwEcPp9UAZFxwicSvji0wtMJe6vL900aCNoXWO0AZy2VaXW6lVvMVXDVF/DaIemzemLFgX8kTJw0R5T291V7zabNaW/DR8930aNmx/Lri7gfmbLbDelefnqLa54T57jj7VKNbra8zvDZ+JDnShYAKcKjjWrlQl5bWee8R8X8OjLp+deSPubEjj+/tts4PCZ9sF+/+qNvgGcgqJDv/wWk4E2Pu7YY9w6yWgDOO2jdYIqzqIm9579GafntQWzBluZ0telX4PW6iqbX+Kmq9yaTVUxfenlN6163Z5RB8hpjdtHuuczfPQ8NxOBgQACCOQUAQK4nPKkcsl1ZsdG3qFoNR1n4ezBrsx/sNLikaZQvvr8Yrdvj74Tbcach2N+gl4Ap6IfKv4RbnjbKuDRNDrfoZc/9ZBTI3EV/Lin3wNRrUOL+YLD7OBly/QyecEV1cMeWi/AH7+3IZGnd8fSy3P5qh0TftxEH3DGA32scYMqLuuqbKUX/CoYaNFuWEyny0wApxNdfun5rnKjgskri9VLLxChXmZqwl3k+vohA+xYAjhvyma0fQJ9EfQiHimAO+aYY0L2YfQ91k8/HXJrsJo3rmqTx/eyAUOmu+A11qG/HU9umObWBWqMGKNpyvNiPUz69rl9DZwvjD5zyli2bD/MTj31JFs8d6gr5qNpnt7MAQVsGzc/575o01AfNxVziWUNrz43H771iAsWlSlVBVYGAgggkFMECOByypPKBdfpvYj63oqm8GiaXDSVCRNJoOyCqo/p/4mrtL2+xQ82brqhiHsR09ALrPpWeSNSAKdvd2+vVCrsOi4d69S8J9nYkV1dE+VRYxekL+L3gjKVRr+uZJOQJd017fPd11e7l5tgRSe8htAq9qFWBFrfl9VD5dw/eW+Dy0gWK9UkbEZSxSiqVw2eWVDT4t7dm9jp+U51lRkVoGgKn6YYhhp6IdT0rKeffdVlUrPzuPbqS+2pjTPc2sQri9V3n0s9390vLHHNsVUSXaXRox2ZDeB0HmV6Xnv9Pb/iEu/sXumyHhcVqRmy8E8sAZymlh54a537jKvJ9vc/ZJxmqKBq05YXMvyuRhPAdWhTx31uIg29xKvtQef2dWzUkM7WuccY1yMs1nFb+RtdBk+fUw1l1dt0Hun39yOWY/6bAjjPpU3zGjZ6eGf788//ueeQVhH4FmveboiVvOlqa928hitUUqNeTzddNdahDLIyyZoaXOCS26OadhnrOdgeAQQQSJYAAVyyZDmun0C/ns2tf6/mfv+mlzVVJZyzIL4mxZklfm7rXNd/LVxlRE1n08uzRuGidd06Fm94687Uz0nFRwKH17RXLxlqBK5m3cGGFwjqZf2ya+qkV0/z7QOnb6OXrdoSdH9NI9R6JbVf0Eu/71olFZpQZTZNodTUSk2xTNXwKhd27zPRVf2MdSjQXTJ/mJtKpSmgC5dsMBVviVSAoFKF4m5d0mOPP2d1GvWJ9bRZtr16mW1eP9m99E+dudJ6DZicfm4FYloDpMqQygpNmBJdVigRAVwwAPUk03UWuLhKyGm4sQRwOofXTmDClKU2YMgMv9MqSFO/twL5z7CCl1VzPQu9EU0AV67MDS4QjTR2v/6em5qnv1cqbqEvRNas2xZpt/Sfq5qi1uO1aHKH+zc1kS55039dL0gV6Og3eGrYLxtCnejfFMDpCxwFbir6sv/DT6xBswGuiI4a2/tWofQKnxz8+HNr33W0a3Yey2jXqpaNH9WNCpSxoLEtAghkGwECuGzzKHLvhXj/jzbwDqMtKZ8sGe+6NK3v5optMvRZ08J59bVS4Q+tnzrvsmp+l+JVMHvv/YOukEKw4gReA2sFb41bDswQxHmV9HTgrj3H+wWzXgD3xt59pmICjVsOyjDNR1kJlcHWwv/A/XVMr5WB1olpDU40w2uEHM22sWzjBZpq/KwG0LGMWtVvNWUSzz4rnwvEGrca6ErWr10+LmIAp15/WiOogjRqleA7FKAnewQrix54TpWgnzaxt2uLsO2Zl61Wg952+LB/b7tyZa53gahe5pWxVrXRcD2udA4vgNMU4EnTlvud9swzTrUBvVsGrUIZyeS7T55013HK2be6bGGwEWsAp6qFmnZ8zNFH2bUlGvt9WaI+hV9+uMn2H/jUZaN9h28AV612d5eR1b/JSo3QvT5wke7J+7nXc6zpXbe7z6kyt9GM4jcWsdlTBri1b199/Z116DbGNWDPe8qJNm5UN2tY9zZ3GE3969R9bEwtS/4NAZz+hnVoXdt6dW9seU85ybWjaNFuqPuCIFQVSvVxmzimu/uCSu1J+g+ZbocO/Rrxcel4Gx6eYDeXLGp9Bk62KTNWRtyHDRBAAIHsJEAAl52eRi68FpVMV7W0wBFvFiaRRJpGqQBHjbT1sqyphR98+IlbR6GXSfVR0rQ1jSatB5vW5/gONSnWS6qGsl5arP/2uwesZv2e6ZudW+BMW7n4PlfeWlMYn352t+19+wNXibBY0cKu0bFGsB5YXgA3aPgsU8+z3t0bu/0VjOlFX/t6hVa0/929J/r1PtJLzVcHHjc1GY5lnHNRlagLAcRyXK01ee/11e5ewlUv9D2m1s717NbY9dNTxnbk2PnpLQ+irUI5YfTd1qZFzQyNyhWg//h5xh5nsdxTpG2VfVWQE2ooINW6UAULGgpuVQI91Eto1cqlXIVKveB+8umXbvpxuCmx8fSBi3RPuuZ9b6yxb7/70QpeWjXk5rEGcDpQp3Z1bPSwzu7lXQ5eLy/vdy1YEO4FcAryA4c+M7EHcEe4AkKaPq2MuJzDDX2u7+7cwNTPTr9zW7budF8UqPiR7/Aac2v7b7790U2HXbR0Q8SG3jpGKgM4FarR37VYh9ataaptNEVM7qx+qw29t60VOv8c93dSa9rUSF7PTyNcG4FqVUq5Jt/KCH/62dduvwWLHw3bRsD7vdC1aR3nr78ejvX22B4BBBBIqQABXEr5c/fJe93d2FRxMnDEW9QjGVoqmNG9y13WtkVN0zqtwKF1VuMmLba167cHPX3dWuXtnm6N7OILz3WBibJlmi7pO/TyNahfK2vbolZ6UQPv56r+1mvAA7Zxc8Z1ab4BnK5Blk0aVnFZKG+oyfWIMfODthlQQ+ZdOxbFzJasAE4XouDjrnqVwq4L1FTJ2jXLuWlomuKqoV5lPfs/4NfyIFgAp30ULCug/uPPP+3CQgVM2S29ACqbogDJG3rZfvvVFTH7xLLDX3/9z029DRyqnti5XV23jidPnuNcoKLiMypbHyqj5R1D0/HmTb/Xit94lfsnBXCachlsHZBvHziVSvcd+fLlNfXbC9YHLtw9eg2xvfViobaNJ4BTUK399Nw1/bBVh+Hu8GlTGptb284jbcly//YcvgGcfl+9rKSOofWDsQZwqpy4YfX9LrA664JKQW9P11mx3A2u2IyqGOp3/LfDv7t+jXoWoUb+s/O5qaL6ckhDmf2Zc9fYzLmr0wvEBNs3VQFcstsI3HDdFXbfsE7uSzTvs6wm3IGVZ/WMValUv8vBGnnrCw3NqNC0SGVrVa1VgZymWftOt9U5lGGdP2OQ+xvTd9AUmzw9uX8DYvl7wbYIIIBAtAIEcNFKsV1MAsp4KPMROPQSrr5q2W0oeFMQphcWvVBrPZpeAnyLlmT2mvUSonNcecWFbj2MvtUO9+1+YADnnb/IFRfaRRcWdFPFDnz0T1GVzF5fVuyvoHLn9rSy7EWub+A3TU7/pqBfWVsFwxp6DlqTtGDxhgxFXIIFcF3a17NRQzNWmnQB8PC0bGkqh6bM6qVfPasUQGooEFKzaDVcjnZo3z49mliPLnelZ1g1TXfarJWmNZleNb7MroFTFVW9NB/+/XdTMkTrDxW46CW5UvUu9sxzu0NecjwBnA6mAHXdivF2ycUF3ZTjteu3WfvWdzovFU0JnOIbzRq4r7/5IcN1as3hFYUvsB9++NlNQdbURxW8adaoqru/YE23tU/jhpWtQZ3b0r9IUcC4fNVm18ri3fc/iuoRajpst04NrOwtxdz2yjotWbbJHpix3N7fl7FpdioDOHlH+lIh2E3ruejvaqgMnAKpkYM7WpcO9eyjg1+4L7LUZsQb+hugDJy+jFE1z+e3zjU1Y9c02VDr3fT8FBAqQNbntU2njOt+leV7fecS++rr78m+RfVpZSMEEMiOAgRw2fGp5IJr8ooc+N6KijKE+3Y6F9x2Qm8hVACX0JOk4GDjRnZ1L+TTZ682fdvuO6668iLb8cRslxXSC/HD657K8A26t32wAE4FELTuSRkSvfQqUFZWRpmO7DC8huZq56DMmdbehAuCIl2zpvh27VjfWjWt7l6WX9n9tt1csW16sKtKe+qr9dLLe900YN+hF2xlqJT9+znEuiEFU2+9kjFDoaBKFU3DjXgDOB3zzDNOcwVqFIB6w+v9FXhOBQIqRqFiNfWa9LM9b+5zm5QpXdTy5TvVBQW+hX28/fU5UZ+7YGPDph3Wtef9fhUvleV5Y9cyN31ZQ58rrUVcvvqJqNZdBTuPpkArC1qrehn3mf3119/cFxsKenxHqgI4TQFX1dh4plAqy6wp0+GmUKoZe/Mm1Wz0+IUZpjE2vauKTZvYx7U+USZbAd3PP//iitgEe56+XpUrlrDGDSq7z6g3DVM/12dl7Iiu1q7VnWTfIv1x4ecIIJCtBQjgsvXjybkXt+fFh+zCCwqk30CfgUxVifVp5tYATlMkX9u51PIcf5xddk1t++77n/xoFDT4VvsM5aYphJPG9rCntu+y3vdOiZU3Jdtrym7DepVsxeotLgOQqKF1VZ3b13UVExX8JnJomnDevCe55/XjT4fcNOFdr7wV8RQPLRjumn237TIqrgbWCmhKl7ja9DKuVhrhWkVEvJggGxx5xBE2fHB7O+nEPC7jpkBDGW0FKztfeiPoITWFWdP9NB1VwXKihgKZLu3r2qeffm3jJ6dVvfUdur7nts5xa3VLV2gT1Wk1hVTTCl/bsy/mHnQK7h9ZMc6tAVZQHM9MhDNOP9WWLRzh1vvVbdw3qmv23UgZ2CXz/ul7qEI8qlicmX5tCr7ffnWl+xxfdUMD1r7F/FTYAQEEsosAAVx2eRK57DpKlbjapk/sYyeffKINHTU74S9fuYwr6O3k1gDu3/DsuEcEEEAAAQQQQCBZAgRwyZLluAhkUoAALpOA7I4AAggggAACCORCAQK4XPhQuaXcIaAKhYXOz2+bn9jpVz0xd9wdd4EAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRYx8EEEAAAQQQQAABBBBAIAUCBHApQOeUCCCAAAIIIIAAAggggEA8AgRw8aixDwIIIIAAAggggAACCCCQAgECuBSgc0oEEEAAAQQQQAABBBBAIB4BArh41NgHAQQQQAABBBBAAAEEEEiBAAFcCtA5JQIIIIAAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRYx8EEEAAAQQQQAABBBBAIAUCBHApQOeUCCCAAAIIIIAAAggggEA8AgRw8aixDwIIIIAAAggggAACCCCQAgECuBSgc0oEEEAAAQQQQAABBBBAIB4BArh41NgHAQQQQAABBBBAAAEEEEiBAAFcCtA5JQIIIIAAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRYx8EEEAAAQQQQAABBBBAIAUCBHApQOeUCCCAAAIIIIAAAggggEA8AgRw8aixDwIIIIAAAggggAACCCCQAgECuBSgc0oEEEAAAQQQQAABBBBAIB4BArh41NgHAQQQQAABBBBAAAEEEEiBAAFcCtA5JQIIIIAAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRY59cJ3BDsSvtzbc+sEOHfvNh2qMAACAASURBVA15bxcUOseOOOII+2D/JyG3OenEPFb48gvspZf35jojbggBBBBAAAEEEEAg9QIEcKl/BlxBigUWzhpktWuWsx9+/NkKX1vX/d/AUaPaLbZ47lAXwLVoN8yWr96SYZu8p5xkb726wvR/V6150pq2GZLiO+P0CCCAAAIIIIAAArlNgAAutz1R7idmgf17H7EzzzjN7Vfxjs727POvZTjG2BFdrEOb2u7f5y58xLrcMz7DNiWLX22b1012//7lV9/ZBVdUj/la2AEBBBBAAAEEEEAAgXACBHB8Pv71As0aVbX+vZrbs8+/bs3bDbW///47g0nhywrZ7Kn9XQauXZdRtufNfRm20c8WzBxoxW+8ykaMmW8Ll2z419sCgAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0f7f4FSJa626RP72Mknn2hDR822eYvWY5ODBY4//lgrWOAsO/TLb/bpZ1/l4Dvh0hEILnDEEUfY33//neN4zsl/hp14wvF28JMv7Lfffs9x188FI4AAAgjELkAAF7sZe0QhsOfFh+zCCwqkb9ln4BSbPH1FFHuySXYUmDimu7VuXsP6D55uE6c+FPUlnn1WPmvZtLp99vnXNm/Ruqj2Oz1fXqtY7iYrfuNV1r3PRPvjjz+j2i8rNjr22GNsxxOz7aODn1uDZgNCXtsJJxxvO7fNt48+/tyq1e5h//vf/2K6vMsvPd8OHPzcfv31sNtvzPDOzqRRy3vtjb0fuH+79upL7b33D9rPh35NP3b/Xi3sllLX2six823bM6/EdM4jjzzStm2a7oL0yjW6xrRvPBvrOe/cvsBe2f2O1W3cN2zwpODq8UcesLx5T7KmrQfb2+8eiOeUQfe54Pz8NnxQeyt6zeVWqnxr++bbHxJ2bB3oqKOOsqc3z7SNW563CZOX2iGf5+V7oiOOMJs2sY9dcfkF1qn7GNvz5r6oruPuTg3c9Y+duNgGj5gV1T5shAACCCCQswUI4HL288u2V3/g7XV2er5T/a6v972TbcqMldn2mrmw4AJXXXmRPfvkHPdif+l/77Sffv4lLNWZZ5zmXobr3VnBat5Rxo455mj766+/rEyl9vbK7rf99j3j9FPt3AJnWoFzzrQrC19olSoUt2JFC5uCCY1QAePc6QOsQtkbE/rInt7xqjVqOTDsMUsWv9o2r5tsr772jnvZDzUqVyxhq5bcZztfesPKVukQ03XeWaOsLZo92PoOnGoPTF/u9n1wzhCrVf1Wu7liW3v51bcs33/y2ms7l9pbb++3CtU6pR9/5eJRVuW2klarQS97/IkXYjqvAo0fP3/KfvzpkOW/sLLfvvNm3GsF8p8R0/G08bff/egC3WCjT4+mdm+flrb+sWesftP+YY99+aWF7OVnF9kPP/5s519+R0KDei8o1+dv9dqt1qT14JjvM9wO1aqUtmULR9gXX35rl19bx37//Q+3eaHz89vHn3xpf/75l/vfClK3PjbNrr/uCvdMn9+5J6rrOOXkE+2d11bZEWZ2xXX1nDkDAQQQQCB3CxDA5e7nm7K7a9Oipk0YfXeG8/fs/4BNm7UqZdeVjBNXrVzK/nPaKfbcztft/X0fJ+MUKT3mprUPWOmS19iEKUttwJAZQa9FwVrtmmXt2qsvs/xnn56+jYKBh1Y8brPnr7W33vnQ/bsya7On9Ldz8p9uxx13bIbjaZ+ntu9yAYj+8/kX32TYRpmmG6+/MqJL2VuKuW22bt8VcVsFl4NHzA67nRd0jBq3wIaPnhdy2/vv62ZtW9ay+8YvtGH3zY14bt8Njj76KHvthSWWJ8/xdsV1dd20uMAAbuqEXtasUVWrVL2LPfPc7vTdFeQo2ClyfX3b/+GnMZ03XAD3+s6ldtGF58Z0PG2szOvFV9XKsJ+C+nd2r7KzzvyPffnVdyGzXg8/ss1GjZtnIwd3tC4d6tmff/5p333/c8jreH/fR1a+6j8BbbQXrC8cnto4zWXLFPxufnJntLuG3U5B2fpV99utN19nw0fPt1Hj5rvtNTtBsxT02b6oSE33b/EGcArchg1qZ3d3akgWLiFPjYMggAAC2V+AAC77P6Mce4W97m5sg/plzFL06DvRZsx5OFvdl17cNBWpXu0KdtEFBVzWSKNu4362cfNzYa/1+afm2X+LXOymPc1/8NFsdV+ZvRgFZJoyqKyBvt3XC3mwsXjuUJdt07f/u155y156+U17cddeF9T+8stvfrtUrljcVi0ZbV9/8729/c6H9tHHX7gpiQc//sLeff8j2/nSmy5jl4jx/adb3WFOPadsIg5nj66e4F7Gb63c3l7c9WbIY3pTiAMDrGgv4q56lWzWlH7mZa19AzhNtdu2aYatWrPVmrUdkn5IBQBff7TZBQKnn1cx5mmb0QRwygB+8WXGgDrwvpQVeumZhSEDuI5t67hpoT///IvL6Cro1zRTZaR8x8o1T9qCxY/aS08vMGXKlPnUutpLLz7PfvvtsL35Vtp0Um8c+Ohza9xqULTMftvpb5X+ZimQL12hTVzHCNzJyxzqWgsXreuCVY0WTara5PG97NGNz1i9JmnZx3gDOO2rdXBv7lpmhw//ThYuIU+OgyCAAALZW4AALns/nxx/dV7GIvBGtLZp5tzsE8TdN7STdW5f112mvuXXdEGNZm2GRPw2PjcHcNMn9bEmDavYgw89Zu263Bfy8+gFcJoipkAs3PACuOGj59qocQtj/owruLmg0DlR7de7exO33ej7F0W1vbJWS5Zv8ttWGTEFN8ccfZTt3/uIHf79D7v06jvtr7/+WdemANcrgOFlVxS4Frjk9vQpc1FdwP9vpCmk0yb2ssXLNtqO517zy8D99NMh69ezufUdNNUvoNa6uZeffdAFRctWbQ55uolTlwXNzkUTwClbFCwjGngyBXCffbAxaACn4Ou5rXNNhXG01u65nXvshW3z3NqvGvXusS1bX0w/nIKatcvHWvlbb7DZ89dYt14TXNZW6wsvurCAVbyjc9iphgr6NEU3mnH8cce6c52T/0z3ZczTz74azW4u6PSmRfruoEB7/Ki0TOyipRusfdfR7sf69/kzBlntmuVswJB/1pRmJoDTMfW72rhBFbJwUT01NkIAAQRytgABXM5+fjni6vv1bGaa8hY4uvW6302tS/XQC+EX+ze5rNv02attxJh59t33P0V9Wbk1gNNL+AdvrrU8eY6zG25uliHb4QsUTwA3Ysx8V2wj1qEpad7UyFj3jbS9plpWq93dbzOtZdOatnBDmdoNm3a4TTq1q2Ojh3WOdCr3812v7LVbbmuXvq3MO7VL+yLBd2j9W+HLCtn8B9fbp5/5Z0FXPvyEvbfvoDVuUNlmPNA34nnLV+2YHvQoc1y1cmm3z5FHHmF972nmsjjjJi1x//b6G+/Zoxt3mDeFMrMBnIJhZQ+V2Z278BHrcs94dx5VrX38kckuE1usdNP0Qh+nnHyCrVx8n116yfl2bfG77Psf0qZP3lKqqD22ZqK9894Bu6lMi5BB8nXXFnYFRJI1FLQrKxm4tlPn07N89/XVdtKJeaz4rS3Si5IoUNv3xhrTWtFyt3d06yQ1MhPAaf8iV1xkO7fPNwX4l15d261lZCCAAAII5E4BArjc+Vyz3V0pY9C/V3O/69LLj4K4OQseSen1epkL9xIUx9qh3BrA3V6plK14cKTLqCmzFm7EE8CNHLvABcuxDi+AU6C15833w+7+/p60LG+wdVi+O1515cVurVK4AE6ZJwU3vkOFek48MY+baqsATsGupk9qSqAycKHK0h911JF2/PHH2Usv77Uylf4J4Aqee5a9/WpshX7qNOprjz3+rE0ef4+1aHKHTZ250nb6TO+8vVJJV1BGX5Zovdy2p19OX3PWqH5lmzk5dNCnbGSbTiPTAzgFKsGyTYEPQYFasaJXZMjAXXzRufbI8nHmfl6qqV9BHBWmqVa5tLXvNtoVE9FQUKrA5tkXXrd9H/yzvtTLOKmQjbLkvusA/Z/rRbZ80Ui/yytwzhl29NFH2yef/lNAJNJnUM9K6/V0777TiPV86zXpl14Z1DuO1qUNHtDG7unayLY987LdXuuf9cAKxHftSMsI6/Pk+xnRl0m6X50nWOXSdRt2WPN2/0yb9b1u7ff2qytcQSBNy/S+UIh0b/wcAQQQQCDnCRDA5bxnlmOveEDvFu4bft+hlxd9Cx9tiflk3LyqvikroJE3/63pVeGiPVduDeDGjuhiHdrUdtP42nYeFZbDC+BUOe+3gCDH21ElzrU+zptCGU+BDx3LC+BKlW9ln33+jcveBI533j3gMh6+a+CuvuoSu+Tighm2fWr7y3ZewbNsxxNzwgZwmu4XOK1O1RkVHHkBXM9ujWxw/zYRq096awu1jk7r6byhF/jiNxRJ/981qpWxVs2q24GPPrNC559js+atsUce3e53D7pPlb5/9fnFbm3Yf29s6BfsjBzSwbp2qJ9heqIOctkl51vZMmmFXjRtU+vStF5rwNC03wc5KqhNZBETBbmFzsufXtTGu5m8p5zk1j56bRF0PT99sc0FOCefVSZDMKwpmL///mdMa/28wK9R/SrWvusoe/ChjVH9mg/u39p6dmts02attp79J0XcR9VKN62dZEcceaQNGjrTxk9Oy2jq/F5BFt1XYIDvVV8N9jPtv3b99pBr/HTsmZP7maYYq2WLWrcwEEAAAQRypwABXO58rtn2rgb2bWXeuiTvItOCuHFZ2uxbvclOO/VkdwkFzz3TWjWr4f770FFz/NY2BUJ++90PGa4zmgCuQtkbTC91qnanipV66X5tz7u2cfPz7uU81NC3/rq2a/57qQsy9M28MmIqEKIpaJFK+mfmg6DpWJqWpQxM4LqwwON6AVy483ml7b0AToHh3IWRe8P9+OPPfn2/fAO4M04/zdYsG5vhtPdPXmr3Dp3hF8ApOFHxjMBR7vYOLhOS2QDu+Z2v2xu7lrmpcyqCoYIboYZaJWx/fGbYQE9l7Z/aON1WPPyEKbjRNEoNVebU2qm9b+9PP7wCNwVwGloX9uzzr6X/zAsyryvZOGz/tGjWwCk4DFwDV7VSKdM5Vj78pHXsPsbvlvW7HVjExttABsoYhhrKKGn9pcaipY+FzGaq9/b9k5f4Ba3hPocK5LUG76139rssYKShoFoVM/P95xQrWqKxm64abuhZaU3feQXPNrUFHzhkht0/ZanbRb/Pb+5abscdd4z7jOx+/d30Q2V2CqUO1KRhZZs+qa+9tuc9K1G2ZaRb4+cIIIAAAjlUgAAuhz64nHzZXrU333vQi16n7mNdxbmsGIGNxqM9p9bc6CXOd4QL4FREQSXlmzeuFvQU6mvVot0w27Tl+Qw/18urGmgHK7WvjbVvvcb9Qk4fi/aegm2nc35zcIubzqX71X2HG14Ap55fgS/4HVrXtjq1yqX3JvMCuGivL3AKmm8A9+pr/7wABztetFUo1RQ7swFc6RLXuEI4+gx3vNs/kAm8thuKXemCM2UstSYtcGiq4dpl40wNwYuWaGSTx/d0AZyCUmVFtX5KQY1aGchbU/WGDEirnBg4NXXj2kl2c8lr7cxCt4VsIq39ognggq2Bu+P2m+2hBcNt6YrHrXXHEdE+Vqtbq7zNnxm+7140B9PfDgWtz73wejSbu8+0smP6QkXTTyNVmW1Yt6LNnjrAnnjqRate956w51AWbM60AVa/dkW3nW8Ap5+NGJyWDQ3Wby4RAZwKwaj6p6Zf5itYIarprlGhsRECCCCAQLYSIIDLVo/j33MxetnUS6fv0IuYXnwXLtmQdAj1LFOmRENT03p0ucv99649xwedkqUXblV4iyWA03SoLesn2003XOWmuA0cNtMFW19++a1dfFFBq1+7grVvfaebuhZ432VKF3VTBfUzVRRct+EZU4ZHlQ+VFevdo4kr5KCy/Tfe0tw+/eyrhJppHc27r6X16ytwcZX04hGhThJuDZxX4TMwA/fB/k9c2wDfoayFXkJVzMLLMGmdm29/NhXeOO3UU1xDa5VPb9ro9gyXpabcylT5BnC3lb/Jbi51bYZtlyzb5M6nghffff+jvf6G/7o6r4hJpCmU1aqUMgUzV9/Y0L76+vuwz+OmG4rYkxumuaDDtxG3dtK6tPGjurqiOg2b3+uCe982Ah8d/MwFCarMqKnHnXuMcy/tctOLu6ZlqjiGN5SZU8BX4OKMTr4XGS6A07o8rc+78MoariG174g3gFNxj7POyhfS6agjj3RZRf1duLZ4I/ufUm0hhtazqV9etMO7ZmUqFfyFGgqqFGgrW6hpslprGG7oi4oFMwe5RuMqTlKyxDXpGTg9A2Xfjj32aJf5C8zkJSKAU4P3j95Z78xUyCTRfxei9WU7BBBAAIHkChDAJdeXo4cRGHpv2/TAydtMLx5N2wxJL2KQFYDRrIHz+nLFEsBp7dKksT1c8KYgK1gPtTtrlLVFswe7/lCFi9ZJfwlVE3Q1Qw9WVEMmyuw9++Qc99Leb9A0mzRtWUKpNGVTx1dLhbz5I/dQiyeAGzPhQRsy0r9xtmc2Y85q69E38lojBULjRnbNcO+anqleg74BXLtWtVxwFDj6DpwaNosZbQD31NO7TEU1tEZNrQQ0lS7UNEplfzavm+ymOvoGEHrmevb6zKg4hjJ0GoGNvPVvmg66ZNlGF3iuWznebavKg+XKFLNzLr49PdumCqv7D3xmN5XxLyIU6BAsgDv7rHwuw3fw3Ufd1F/dW+Aax4IFzrISN/3XTQV+4f8rKvoe+9nnX3fTfWMdkdbAxXo83+11r3teXOqmOZat0iFkTz9NeX5myyz78MCnVuT6BiGncXq/k/v3rrW8p5xsXe4ZawXPPdt63t04PYDTl0BPbphqi5ZutI53p7UU8B2JCOB0jO8/fdJlU0uWa+WmUjIQQAABBHKfAAFc7numOeqOhg9qZ3d3auh3zfrW+JL/3pll95GMAE7ZhTd2LbczTj/V2ne9z013CzX08l2uzPV2T79Jro2BhrduSdmXOxv2Drqrsgj6j9bSqWhBIoeyO4+sGOde3jVtLtJIVQAX6bq8dgMKhOMdXgA3duKDrvG471DAdeP1RdKLmOhnRa640K1v+/GnX6xU+dau2mHg0JRGTW3cvuMVq1KzW/qPlaVZvXS0NWs71G9Nl1oT3FisiA0aMcuUufQdmr6oz0HN+j1dRnLqhF5Wv2l/W//YM+at93rs8eesTqM+YQm8AE7rKrXuUU2tVbRFXxAoEPaa28fq6FsER0HtaaelrT2NNHQ9Kp6iL3W09i5YVcZgx/j22x+jKqHftUM9GzkkrYz/bdW7uKyZ71AwpGd/W4Xidu+Q6TZhykNhL1nbv/j0AlNRnF4DHjBNFfcN4LTz3Z0amJqTBzYs188SFcCp8qrW2tWo19NN+2QggAACCOQ+AQK43PdMc9Qd5dYAzutTpZfOcy6qErbYiKZRKoukl2VN09PwLe+uhufKVkXTQDlRD1+Bj6ZwaipgocKhC01458uqAE4Ztzo1yyXqNoMeRy/YL7yY1ptLI9Y+cNpnxgNpTZWVgdMat8DpfZ7vk9tesjvq9Ah7P316NLVbShd100i9nmG+Oyj7NXJwB9eOQF8YqHffpi0vuICte+eGNmxgO1eRMFKQr+DvvdfTvkDQUOCk/WbOXeMCOH0WqtTMmO289ZZirnqlphcOGj4rw72op6KXfe7WsYGNGPxP1c1EP0jNslSVSO+LkHDHVxZbWVB9gaNp2x26+WfFlLFVI+633/3QBeK//no44uVqmq4akev3PlgAF+4AiQrgPnzrEdNUSrXZeOrplyNeMxsggAACCOQ8AQK4nPfMcs0V68VSL5i+I7dMofSmAiro6n3v5LDP7PJLC7n2Ch9/8oVdds0/VRJ9qybqhXDnS2/a5idfcGuiAtdpJfpDoXVmKs6i855y9q1hp47p3MoaVapQ3GV+vvr6O7/Lad/qTqtd07eISQkXFMUzhVJVC9XvLJlDa8p821p4AZz+bd8H/tmvuneWd1ku30beujYVgXni0Smu6qjWMLZsP9zvkvWi//BDY9w6Pa0N9IayTqp26A1NI3xh23z7z2kn2/Wlm7k1er5DVUnV3Prkk05I/5Jg09oHrMRNV7nPknqrKdun/x4sE6hKl9WqlLYqt5Vw16ogQr+Dqnw5ftIS17xdPe2U1Xnm2d1WqUaXDPSxrIGrWO5G07ThzA5Nada1PrRys2s94DuWr9riph5HMxS07nhitp15xn9c1mzarLR1n1pnuv3xGe4cCozj+X0LFsDpi51QQ0VOxt/XzS67pJC7ljf3fhB0U1XCVRXbYEOfH02h1HVryuwbIY4RjQ3bIIAAAghkXwECuOz7bHL1laW6iIkvbjKmUHqFO2J5iHpx/s+55f0qxym70q5lLatQ7sb0ois6pjIampqmF06tn0v08F7addzzL69mX3/zQ9hTeC0Hwm3kFTFR3zRNER0+eq6NGrfQb5dIa+A0BU/Tw6IZo4Z2dEGlWkOsWbctml3cNirSoQqf3oh2DVxg4+RzC5zp1hGq2XfL9sNs2aot6cescltJW7l4lMtaqRKiNzT9cuf2BVFfq2/W1tvJq+6oKZ+qeKhS9b695nwPvmTeUFOvOQ0FeCpeo3V0+S/8Z62gN91T69jUszFwVK96iy2dPyzmKpRR32TAhgpOfvhsqyvwE/j7Es8xS5W4xjasvt/tqiqTL7z0plv3VviyC6zPwMk2ZUZsjdW9awgM4LwpqvFco+8+4aZV63dDGVj9LVHz+qzM2mf2vtgfAQQQQCB6AQK46K3YMkEC2aGNgO+tJCOA63tPUxvQu6Xt//BTGzcprT9XNEOZj2B9s44++igrfsNVVrbM9aYshoqMaCjY0LTLSGX+ozm37zZa76Q2Anrp1Df5ob7x9/b5dN9jdkKe491LfKgxbdZKlxFQqX0FuCoe8sD05X6bRwrgor0PZVb2vrzcZacuv7Z2TBUKA88RbwCn43jZqe9/+MlVHvSmEnpBz9r12+yuFv+U0lelx/uG/lNBUtkxBSpaz+a7Buzkk0906yaDrW3TZ0VVIxU46jmGmz6pYFrTUvW5e+nlvfbDZ09lCOC8rGfP/mkZKq83m+ekpuRaC6jpnYFtQLbveDVsn8Non6fvdokO4HTsjm1r25jhXVxV121Pv+xaNgRmR2O91sAATs/xwTmDwx7m5lJFXbEYBebffhv8S5Pdr71rY0P8TfEaxP/xxx+Wr2DFDNnJWO+B7RFAAAEEsqcAAVz2fC659qqySyNvX+BkBHBqU7Bw1mD3Qljw0qoJf56a4rhw9mBTA+d9H3zsijwkemzbNMOtD+rW636bPX9tyMOrYMsXHz5ub+zd56ptRhre1FllcwKrE0YbwKk/msq7hxpq0u5lk9QiIJqhdVDeFDrf7TMTwOk4s6f2t4Z1b7PxDyxxrSQ0vCyZpgC26uA/vdI7d807ypjWFi5fvcX1CvQd6g/YunkNq31Xb9cMPnCoAIkCCI3LrqkdtGhG4D6h2giMGtLRunSo59bqac3eoa+ejobTbdOk9eCgFWV1zAsKnRP1cQI3VGCroazn//6X1l5AWSf5Rmq0Heykgf3b9MWIvrjITHY7FWvgvHV7L7y4x6+VRNzQ7IgAAgggkC0F+er6XQAADpFJREFUCOCy5WPJnRc1oHcLt9bLd+ilSy/yvmuOsvrukxHAedX/dC/X3HRX2JdKFSwpW6aYvfX2fhs7cbEpg/LAuHvcOhZN/wvWfkDH9XqJ6b9fWayefXjgs4TSedNcNf2wUcvQDZcLX1bIdu1YFPUUullT+pnWMAV7uY82gPOCRq1/+uZb/3VhKuQhu8CX79Pz5XXZLBXj0OfOGyfkOc5OOukElykNVoQjswGcpn02qFvRFQPxzqss1vRJfWzeovXWucfYDM9NmbNXnn3Qzsl/ul19011+AVjxG6+yLeunuKxo8VtbBH3mXj8yVZQsfG0dUyGRSCNUAPfEo1NN5/QCQQVw+mLCtzdf4LHvuL2061MXKoDT1FIvixzpuqL9uWzV/y5YoZdIx8h7yok2YUx3U0ZS45dfDtvA4TOiKoYS6thZHcDpM7947hA3JXb0/Q/a0FH+LToiGfBzBBBAAIGcI0AAl3OeVY6+0n49m1v/Xv7ZGb1wKbszZ0HsPaISiZGMAE7XpwyRej+tWvOk620XbFx04bn24vb5dvzxx/llup7bOtcVxwiX/brkooK2+4Ul7rCFi9Z1zagTOaKtRFm5YlpRkmBTIoNdz9rlY12/NK3LUtNp3xFrAPf+voMuwPEdn+/fZHmOPzZD/zpNqTz/vPxufZfWeXnDqwKarAAumIHX700ZP01NDBwd2tS2sSO6uJYBvQZMts1P7nTT4a69+lJbv2qCKeisUqubX7VM7xhqRfDi0wtdRUoN9W5TQ/BII1gAp2b3B99db4cP/2FnFrrNHUIBnD5r+syFGl6WNVQAp6BWX1R4QwFrYBn/UMdWoKJ+a/q/ajeiQi7e0JTZwKImke67TOmiNnNyXzu3wFmukNDTz+52GVMNFUNp1+W+oAVgIh03FQEcFSgjPRV+jgACCOQOAQK43PEcs/Vd9OvZzPr3ypgpiDQ1L6tuKlkBnNajqBiCXjRVsEPfivuuY1Kp72ULR7gmyJoGWaJsS/v50K/utj0zZZ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",Se="data:image/png;base64,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",pe="data:image/png;base64,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",Ge="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJYAAACWCAYAAAA8AXHiAAAAAXNSR0IArs4c6QAAIABJREFUeF7s/QV4VFfXBgzfMzFIQnB3h1IKVCjFaYu0WHF31wR3p4I7Ce7uWtzdpaVoBXcLkfHvutc+Z+bMJKHt8z7v/7/fdX3nevpAyMw5++y99pJ73Wttk9XpcvnDAcAEwAxeJrjUj//x9T/68n/81P/JF12GL///dfT/ZwbyT2ZTDdbl0mfMCRdMsJhMMDmcdpcJTgB+gEkJFuCESROyf3L7/+8z/8UZ+H+RYLmogNzS4oLJRcFywgk/mJxOq6aeKFgeyfvfESwOhP/xOf9WL+jfTWwR/5P7/ReF4X/1Vsb3/k/ek0qDl640/nuD1QWLWkosnYuWj88zUcicLvcmEZXmgsnkBEx+mppTvzW5hY6qj5/5e8Hw/Rx/1i/9d0ndx/hZpW6Tfqb+Wd6L//l+9+/Gmti4fN/Zdzl8n/F3y2Ucv+9cGr/r+55qmnWTI6Nyv5/veyV1X3UP73nRP5vYvBrfzfcZ+ufdn6EwUVYoOyalo0T8nfonnEYdrD6X1PV3IuV9pyTuognK3wmWLiiUSaMsGwXT6XS+V9DfJ1ieSRTPkhIsz/kngq9/12w2y+fVd8zucRoF/n2L5T1+fXZ9N7SvP6Nrfs/8GueH9+QK0/9R7+M7f+pn339PsFo+3/PdBMptojSZ5YbUWVRJbsGisLmcTuw7eBBr12+Ev3uyuGhUo0pj6ErHOGn6wzwLqHaHvJym7RwOB/z8/LR7OOHv74cB/fshR47siUoev7t58xZYrVZkzZoVxYoXx88/74LdbkfhwoWQJk1qHD9+EmazCSVLfoa42HhcunQR/v7+qFmzFoKDk7vN7vuUK59z9949HD16Qu5VuvQXyJkzh9p17/mi/v6vXr3C3r37ZFzFihVDaGgojhw9ioCAQHzxxed49uw5bt26BbvdgYYN6yMwMBBmH+2vT8DzZ8+wd/8BOB1OFCteDB8WKeK1mc6cPYfbt2/Ls+rVq4fjx0/gyZMnSJ06NapWrYwAf3/3XG7YsAnbd+wQbSJ2yC34am107W42UwzUplD/GQXQBD8/s3sdjQvFeXOaAH59zsyZCAjgs01wmpQTZXK6HNpWUOuwet0GzJwzDwFQO4/CxgnnA2UyKVyyG5S465NP4XO5KEhGAVTCxc84XbyPnwwGTheCkyXDjBlTUCB/Ps3f4nc9foCavAZ4/eoNypYpgy7du6B581YyqY0bN0bhQgUwYuRo+e6gQf3w/NlzREXNkYnYsGE9MmRIr2y9W70m9IrFe3G5cPjQYfQfOAjJkiXH0CGDULlyZfUe7xEuJVgm3Lp9C106d0VcXBzad2iPHNmzY9jwEbKJRo4cgcuXL2PDho3gxtqzexdShKVIUrCuXr2Krt16wul0oEOHDmjdqqWXYE2YOAkbN26SOfj55x0YPnwkLl26hFy5cmHBgnlInizI7bvOjozCsmUr4dLWzuxyweFQG9qopbm2vLhO/HdqX2XMlPblmvJV+e92h12pOF1Z8GN+JhzZtxfJKFjavWTeXB5jKd9Zu249Zs2eK6bQz2ym5Cl3Wz5thoPCwweZzCIsXiZDVko3S1rEQBNLGVTbhuIqA6ZmmT1rGgoUyJuoY8nJq127Dl48f4mKFSugW4+uaNKkGaxWO5o2bYIPChfEkKHD4O8fiMGDBuDZ82eYMTsKyQIDsGnDemTMmE7dV5MsZejUrvR2ZF3Yv/8g+g0YKFpm9MgRsvsTamFvxapP242bt9ChQ0fEx8ejU6dOyJUzBwbwXoGBGD16FC5domBtgM1mw4ED+xAWllKff7mhfh/+ScHq3KUrbDY7OnfujHbt2niFOD/9NB4bNmyG1RaP/fv2YvCQobh48SLy5s2LRQsXIHnyZO5BRkbOweIly9yComsi3czrZpsCQ6FP6J+qjaOvr4PKxE8plQAqCE1hcCPv27cHyYICvSbIIFgKg1i7Zh1mzpoDc1CAvJS/dnPeQEm2wrwoWHpUoGZICbpoJ+2h+uD1ny0Wq3zQz89fVOcsClb+xAWL37137768dPLkyZE6TWo8evQYTqcLKcPCEBgUgOfPX4h9T5s2jeymFy9fw89sQvZsWeHnp3A5tSnEC9AEy/D+amMiJiYWT589k19kSJ8ewSHB3HFKG/+NObRYbHj0+JEsQOpUqeS9nj577r4XBe5tdLT8niaWWlvb2F6CxR8sFgsePX4i80dTnyplSi9z/Pz5S0RHR8uGzpEjB549fYb4+DgEBgUhS+bMYln0a/bsKCxdtkL7vglBQYEyl1w/jkG9mlm+47A7ZC05SyZqOFEGXGMTHLLenou/45zqbg4VxN69u0SwdCEUjebRWB7BioyaLyrU4bBjwk8/oeiHhb1v7r151U9GX9Jgpw2BIAYMHIxff70mH6evMWtm0hrL1yd49eY1lixeCpvNiZKffYKKFcuLmlb+H3Dq1BkcOHIU/iagS+eOSJEiVJlt0a6eCed96fcsW75CTMoXpUoiffoM2LR5i2jRGtW/ReHCBTVT6NF4ib6yy4Wnz56KyaFGKl+uHEqXLuUWGN8oTXfyfX03o/NuXBxZIMPY9+w9gPMXLsLpsKFnzx4IDQ1xmybfz86mxlq8VDSW2eSH4SOGiP+oTLwh/NI2l/f7qcV0azf1k741MXToSJw9e1YznSYc2L8XycQMe66EgrV2PSIjKVhm2O0WzJg6BSWKf+R+CE2dDkUk5twaox/9ZfV/Cw/vjctXroq0J0uW7L2CJbJqkMr7Dx6gbZt2iI2JR9NmjdGtW2fNp1OmdfGSpYiatwABZhM2rF+L9OnTuk2hMYrlPf/44w+0b98R8RYrWrZsjvz582Po0GEw+5kxYvgwVK78tZh0NbnKeTWaCmOoTse8Q8fOom06d+qIVq1ayuwmBnv4Lr7vO3otTCKwyYSJk2UDWOLjsGfPLqRNk8Z7MQ1CSB9ryZLl4utxGn/6YQzKVyhnGJfHF9bHavzzfWPr03eAbGQVkHkEK0mNxcBxnS5YNGkOK6ZPm4LixT4y+CcKKzJOXGL4iZfvpb1+j54RuHTpqrxoYGAAoqJmJGkKfTXEw0eP0LlzV/Gx6tWtjQ4d2nmBrStXrsbCZcvA2GTZ0sViHk3iiHp2mz5Zf/75J8Ij+iI2NhaNGjVAoYIFMHrMWDGj/Qf0R8UKFdzCkZimMv7bnTt3EB7RG5b4eLRu3QrNmzf7u6+89/e+G9P44enTZ2Lr9u2wWOKwZdMmpNEES+ZaM2P652fNjhTBUhrLjB9+GC2+qj4Han202XkPRimWQ30JJkIHMKNP3/44cfIMiIAGBfhh797df+9jUbBmR84TM2K3WTB9+lSUKF5MG5ATv177DTHvYtwOve4U6spFd+o55syZMyFnzpxu29u9RzguX/5F7hUUFPRe59139u0OBx4/fiwmlyF9qlRh7o/w2fQ9Xr+NFoWdOVNG5WOJmfRS/KJ9GPrTHPLvYWEp4B8QgJcvlb+WOnUqBAcHG5W69ndvuEU3EzSBz549k81C8xsWpsb1d6BsUtJldOZ131CLw/D69Su8k7l3IWuWLJpjnvizqLEWLVoqUSDn4Kcfx6B8+fIyLkaH586dE42jDVZtUvmft6nkz3ly50GmTBk1VN2MXr374eTpM/J5fz+TOO8qIvVcXqaQGmu9CNZ8eZDVahFzVaJEcZFODqRr1+64fv2mqFheujNPp5qTQidfaTMHGjSojx7du7mfRsG6QsEyUWMFYfbspJ1334l/9PgxIqgZLDbUrl0TbVork6Nf69ZvwJIVqxBgAubNjRKNpcPAGvSphdEm/PnnXxgwcBDi462oW/c7tGjRzO11cOxLly4TDI2Ct3jJYkybNg2XL11GxkwZMXHiRCRPllyhzG64RY+eDBP7DzITiQmXrun55y+//IohQ4eKOR40aCA+L1nSjcLzu8OGjcBv135D9uy5MG789+Kg65cuWPRliYuJYFUoL7+2Wm2oVq26YH8SbEkaRsUpXEdeyoQ6JULt36+PaHauKTVWRK8+OHXuvGRv/M3A/n175NnGzeQWLH2nrF27DlFzFopGslri3ILFh9nsdhGsa9duaICYB6Gm0HHX+gcGiNNPeKxBg7oI79ldJJ0IcM+evXDx6i+yiMmDgjBzxtQk4QbfSb//4D5atmqD+DgrGjduhJ49umgfUR7UkqXLETVnniBhGzeu03AsDbtypxGUWv/9jz/RoUNniahatGyKrp27eKVJIiPnYvmKVSJYO3Zsw6hRY3Du7FlkypgRS5ct1DSaN/KdmDuQmOCoBUw6d+E2hSYXLly8jC6du8sijxv3I8qVLa3kWcsMdO/eExcvXUK+fPkwd06UF9ygnPclAqFwXWgKK5Snj8Xo04aq31RHnMWi4CTN3PBPmk6Oj39SyOx2G/r26SXgru7+9O7TDydOnFLr7W/+e+edO3wNNZbgWCY47VYxhR+XKC5zxCiqa7ceuHHjlnvO1ACcMggxDwxXHQrmp2D17EGNpcDPHj174cKVK/A3+yHQPwCzZv5zwWJI3717uGiZ776rhQ7t23gJ1uq167BUJjIACxbM1zRWwqWlaP3151307dcfFks86tWvi9YtW3nda+nSpVi7boNskNWrV2HKlOm4cOE8MmXMgGnTpnotoP6E9wmWUQvp/mlSQufxsVy4fPUXDBwwRKzA4MGD8EWpz73Qj4EDB+Hab78he7YcmDx5oldkFhk1BwsXqvng2vz44xhUqlhetKzFZkflqt/CarcDDuKSHuHyAN5KC1Nh9O3bC40aNpAh89/69OmHYydOiRUL9PcTfC4okBrLoLG94AaXSQBSJVhmOGwW0So0hbrG6tatO377zWMKdSnWJ0SsNtF6kwn169dBzx5KYynBisCFK1fhZzIjKICClTTc4DvxFOq3b9/CQdQ+eXKEhDBlI/vf7cOpMagw+e3baNhsVpjMfkiZMiXevH6lJiIgEKEpQv+GW5EwX2eETV6+eqnMvtkfqVKldGcb9DEboRJiZPGWePlVmtSp3YHP3wuWEza7A2/fvBOLTv/NZrWCWKBgZqlTe+FWvppQN4UULF1jiWAJXmZDteo1ER0bAzPlyklEnp/TmRCeqJY+ZL++vdG4cUP5LpVInz79cezESdohBPr54eCBfSLUiUaF6qYUrHWIjFwgqReH1YIZMzwai6awW7ee+O2364L5+E4kFx/0sVwKtadgKR9LM4XhvXDxylVx+pLRx3oP8u478Q8ePEDHTl1EY1ETdu7UQcsuUJB0x1MJGh8wfMQonDx5CukzpMe8eXPQuFETQcdLliyJ78eO9pqEpBZZ36G+pqtGjVqyONmyZsPiJfMTvZe+0aZNn4ktW7bIzt++bQtSpEiRZEStP08JiQsXL11BRERf+fz3Y0fh7Llz2Lp1m7zHtq2b3VFhYlpTjwqVr+TCTz9972UKq9WoiXcxsaKxmGPUN4PxnWmNCKPQx6Ip1K++ffvj6PGTkoXxN5lw+PBBBAUGJO5j6YtPwZo1a67krJ12Ou8zUKKEigopON179BQfSw2AOSQNONMcWSWe6r969b4TjaU7fd17ROD85cuisZIHJUPk7OnInz/PP+IK3bt/Hy1btobN5pDd060rcSwNHdcBWU0XU/UPGjwEx44dR8aMmbB02SLU+a6u5PO++KIUxo/7Sek6E02AN3jqjeV40hq6RuC/fP11FdisNuTIkRPLly/W7uXtN+mCNWnyFGzatFmS6fv27nZHjUZhTtyMunD+/EV06txVtOy4cT/gzJmz2LBxk2jiXT/vFHTeM16FpOsXNdbSpSvdzv5PP36PihXLuTVWlW+qIzY+XnwsWhfdp9IpOvp9lSnsjYYN6rmf1atXHzGFNA0Mvv+ZYK1VKR2aQpfDlkBj0WH87bcbWgSockb6JQlMs0rp0Po1aODRWDSFjAppCpkvTBYYiNmzpv9j553mZ+HCxbBZ7Sj5+Wf4slJFnaUkbFcNktEE3oX1Gzbi5s1bSJkyDO3bt8XMGbMFHc+bLy8aNqivOaxU5tp336e2tN8pQTZjwoSJooGII3Xq1EHeVyVv1WU0hbv37MGF8xck8OnXt4+kp3wvL41IZ1pexom7d+9jyeJl8PP3Q4MG9fDHH3/i/PkLssF7945ASEiI+1a+WlUJ1nLxr6gAxo/7AZUqeUwhBSsmPl5wP6ZpjKCv7sTz5kbB0h9GwTp+8rRbsA4d3J90VKhrrNVr1mLGjCj40TY7rJgxnXCD0licHArWtWu/iU3WM+JeO060hksYDL4+Vrfu4bh45Yo49jSFkZHT/zFAyl364MFD0YWhKVLIiwh+BBMypEunUjhqWWUinz59itjYODHZWbNmxr17D2QCubCpUqfC48ePFI6VMpXsfDcfCMCLV68Q/fatfF4oNBogrN1egzF0XMuXN+WJlHWtZQSTSXPhuAgQZ8mSJaHPpSftvZi2KjBibjQ6+p0ILnOFT58+EU3Id+S9jMKtkPdlKq9rNuPHH8Z6aazK1b5FvNVKCjHM8BAKhM2iQUn6BtGjQrVpgF69euPEqTMw+fnB7HLi0KED7zOFakHWULBmRimijcOGmbOmC/LOyZGosGtPXL95UxEGmRm32TXbp5KWil6jcKxG9euiZ8/ubj4Qo8Lzly7L5xIKlicyUepYhb36dffeXTRr2kLSMM2aNZN83oABg4TdMHToINSuWV1hS5oh7td/AA4dOoJMmTJh9aqV+LZ6dUHHS5cug27duqJV6zawWixo0bK5F9bG582aNRtLlq2A3WrBwYMHROupS4GtIjDa0IxCI59IJBXj0WRAj549ceLEaeTLlwdLFi+SQET8Ww3V1n1EPeAxarcffxqH9Rs3i4915NB+DBw0BBfPX5CU1KLFCzWQUgn6rNmEG5ZpyWaIKa1QvrzcnjjWt9Vr4R1xLHFxbF7vQ5Bb2AxksNvsGNCvLxo28vhYhBuOHz8lCWt6QnTedQzNHVV6okIljfSxZs6MBOUYThumz5iKT0qU0EJPp4T812/cAJFwhXfQ9OmsSxW90tQzrG/SoD66d+/qBhK79wzHuQsULLOYwsjIGShooM0QbDX6CUbBoo/VokUrcd6bNm2KwoXzY/DgYTCb/TF48ADUomAZTNGgwUNx5MgxpE+fHitXLkOtWrVhsVolZO/cuQvat+8kqZFmzZuiW5fOXtaJlJNly1dJsnf37p0SVRovX/hA7WRvc2L01fTfURlFhPfC6fMXkDdXTiyYP0czjR5MTM9k6Nxx94oDmDBhEtauXy8bfN/ePZLfJHCbJ09uzJ8/13AviDtDjUVt5nTa8dNPP7hTOtRy1arVEM1JYp4/11BwSJcIizFXYbfZxcdqZBAsAqQkWRIjowegANKgpOAGNXU0hQTX7HyIwymC9bGW0qG97dKlhwiWnpjVM/b6nxQyoWI47WjUsKHgWPrEduvRE+cvXoG/n5/ADZGzZ7h9LA9+o+kGHxAx+l00du3aK0JcoEB+pEmTShiUpIB89umnyJMnl9fiHzt2Ao8ePZLJrlq1ikRTDrsdmbNmQdGiRbF//wFJ7VDzfVT0Q/d3KRCXL1/B9Rs34XI68N13tYWJkRioaRQmX+HyGoxB4Mkuffz4qVB/Klf+yp3BUEZc/Z9KF6mNa+SOnT13Fr///ods1NrffYeTJ07gxYsXEml+/fXXWqSuaaxZHj4WNyx9LOYKeU8KVuUq1UTz0cfUcSyj6dbf12G3oV+/vhIw6b9nSocAKS8BSAk3JM3HUhprzdq1mDUrCg6aOrsDM2ZOx8clirkF6eHDR4i3WHx2sIoO9QerXWdCWFgo0qcj4U7t6J7hvXDukooKCZAyKixYkAxS5fgePnwE9+/fF+ZDrVo1BdzTL3Kadu3eA+6gggULCGirFkD5dL9euy5sTbPJhVq1SE025vu8TdSbN2+xa/ducUwLFy7szoXqzyI577frKkCpW7cOTpw4IXlK8rS+/eYbbN6yRcbBBS1TpoxQk+kDkprMXOHRo0fFbyldhjTnnO6dnJiZXLduPaw2K1KnToNPP/0U+/ftFw5U8eLFRNvu3r1HfKQKFSvg4cOHuHXrtuCE9esravLTp8/EVHPzKAhICRaxSDI+CDdQCfz4wxhUqlRRpXCcTvz1118K2HbpLoyiICkqkneknC5dWqRKlUoFJYACSI+dkM8RvNVxLKNQGHKFHo01i1Ghnwn2eAtmz56p0WZ0WEGF6b6XMRmdePhM/0IBpIzDRLAip6NgAY9gDRg4RBaRjvj6dWu8hIO0mebNWwq7oUmTRujRnSkdDQ6ASbhH8+bNE/+NKZ106dIr/4IDlQnzjPn3339H+/YdYLHahI3aratK6ejjjoyMwvIVK0U77ty5E2PHfi/jooO8dOki1KpVB3Fx8ciZMztGjhyOTp26CZTRsWMH+bchg8lsNcvvvv76K+2+isHqudRmqly5CmJi48ScDRwwAF269oTdbpV7UVA7duwiiWTCBafPncW6DRvE79m7ZxeGDBkmDNICBQoIVpc8GRmkuo81V+NjqQ0/btz3qFChQqJ064TWwnd1PYJGYezVu68INQWRxEbdx0oUINVvRed9VuRc2OnvOJ2YPn2aWzt4HueBGBIKmKLU6Jdn0CZ0p2BdviwpHf4XRR/LoLGEjnHihLAXNm/eiBCD1rl3/x6aNGkuaZhmTZsiIqKn9gj1rAULFyEqMkqevW3bVi1XqBsYb4yJVJfWrduK5m3RooWXueY3KFi8H/3Xffv2YvjwETh79gwyZMiI1auXqwRuXLxwzQlctmrdToDErl27IleuHBg0cLD4md+PGY3KVSp7hfJqbvSiBRO+/KoK3r59g/z582HwwEHo0KmLJP+7dOmMjz8ugbZtO4i5nzJlAk6cOiWpJsImBw/sxcBBw3D10iXkzp0bS5cs1FJNHo21aDE1lkq5jfuJOFZFH+F2r5Jbq3qzVTzBkHGdlY91SqwU76/DDUlqLN0UzpwVJTk/2B0YP34cihb9wCscNzqU3oKViCbTYilOaN/+A3H12jXRWExC+6Z0nghEECuqP3u2bF7hs9Vmw8MHDyUoSBmWUnwstTnVjnz95jXevHkj5jxbtmyyy3Vqi+946cQ/fvRYvheWMkwIc8Zd++qVuhevbNmz4/nz55Kwpm+YJWtW3Lt7T8YR4B8gAkz3gCaEaRaaI5onOsHp0qaVTZJw83kotnd5L6dT/DgyMsji4FhI3wkKSibj5EVmRVxcLN6+iZafs+fILgUk9JP8A/yRNUtWDaz2+FhMzKvgyonRo4ajdJnS8ixff1F3XWQbGnhaatzGNVXQN8FngrV68Ea4IQkfS+0grsSa1WsxdcYs+BHmd7oQGhICM+FVKaIwsnW02IHhNV1AhqgSKTKH5id5OQ6DYauqtTNLzoxwAc2VEP0iZ2qmUGkUBg43b91CSHBydO/eXRKb+ou9ePVaqnAcdic+//wzVK1S2SDsJim5OnjwsCxoeM8e4ncYfT6CmtQqBEibNmkssqajBr/99psk35mGqlPnO3z4YREvjbti1SrcvvO75AW7dOqkQmvN037y5CkWLlwEi9WCSpUqoWIFUqY1I20Cdu74GWdI43U6hfpC/9HD4zbhx5/GizPNBHfnzh01P0blL/766y4WLFgoG6xJ0yYoVKCA4bsQ9gIFk2a/Q4e2IpxGH2vhoiWywShYDGIkvSPrQTSJ7oFaQ/p0XD9e+rrx7zrBQLav7FK1iWPj4xQILlEkcOTwQfezfeAGraZMK6aYETVHL6tRLEyt9Ithrg4vcJeoCEYJFh/Ih7GCg/+iIAijQ++pZePupmBFRs5CwQL53Ys4YOBQHD92VHbrmjWrDbWBLty7/wgtW7aSJGzjRg0FH1OTqNQ1fSzSZmjz15OanC6tmBAF8gFVqn4j5uuL0qUwYdyP8kw1chMOHDgofHxyxEaMGIYqlb9yJ875/YjefXH6zDlkyZwJy5cu8vL9uBE6duyqVem0FxapbBPNipBOvH79BuGt7d+/F2EpUrjvzY99XfkbxMS8k0h3yeKFXsrt4sXLaN+hg4zrxx8Z1ZUzJM9NQmG6cOEScuXOg0ULCTd4qnRmzooUweMcsHiFz9fngg9RvDllJnUgVAGsau28i3DVxldZFpcGjithJJRx5MihpHAsNfmci7Vr1mLm7DludUkNoB6uYFdVLuSUNIN7yzOvyJ2gSTb3gapH02vTFAShq1reKzDQH1GRs2RC9Wv4yNE4c+qURFaLCR5K0alaJZqbTp06C7hXp24d4ZcbVfWKFauEk8XPLl++VARLN4EcW5269RAfb5Ek9JjRozQ/RyotcPTwUUlaBweHok/vcHz1VSV34pzPGDJ0uKRSMmbMiKioWeL76XDLnd9/B7n8NEnku7ds0czLrM6YOUtIg4Q2tm/bLJGknuXgwtaq/Z04/rlz58LcuVEaAKs27KXLVxAeHiHmddSoUShT5gsvVkbv3n1x5coV5MqVGzNnTtO0oZqVmbNmC0CqEzJ1weCaGIs6jJvf83euJ6t5NGq35jO7GacefQ5/+liHDiYNkOpm49Dho4L5GB9urCLR1aLKj3kqo3WhkcFpBa06Si3qUawpVacaLP2V8PDuUuWsXy9fvhJzxfsy1DamKOiwErPhOJkjSxEW5jXJTHVEv3snap7fJX9dhc/KR2AqhTuRpogpHPXPytehJnv96pWMjWCootl6QEv6XDTj/n7+SEtNaAhOqMWZauFzWIwaGsLqII9rQqrPu5h3AjpmzJhBeydto5rMePrkqQgp6dFqM3iaeNBEPn/xUt6J/luyoGReICSfy88QlqF/ZpyvrVu3Y8/efQYAWw9glOXQGb+yzprfpZs+YZIa7LnbV5W/qHnj96n1OBcTJkxAQIBiFCdA3vVQMaH77aWd/9EP3jHYP/pKgg9xh3fp0kW47J988gn69u3jMa0mE04cP4GJkyYL8t65cwfJ7ZGYQqTjAAAgAElEQVT1SaGMjJqFdFJo4JlM9dJKqElNHjhgsPhF1H5Mr7AYlOgxaT5ly5bxTJAxwtX44EZH3xubMuH48eMYP2Gi+Gu9e/eSexknXM2zBpNofq3S/GqsJAqrz6iF0sRf3mTevAXYs2ePOPHLli0VYTNu6P9spv93vpUAx/rfecy/vys1QZ069cDeCGXLlcVPP/7gdZM9e/cK51tSOoP64+XLl5gzd4Hs+I2b1iNjelUJrYf3bszLBRDHate+I+LiWP7VDIULFcTAQYPF5IwYMRxVWP71NxRi3zfSN+aePfswcBBzmP5icqswyPiX90pqtsaNnyDl+iT8sYAhbVpqOF30lFj+X7n+DwuWQ3yqd+/e4eNPPpYGIsYdTM0wceJkyVeRuvL61WusWr1G1HTUnNmisXRTaBQuKgdGW/Sb3r2LRb16dZAvbx6MGz9enGTyx3Qt848FQvM/ScI5cfIUxo+fIA5ur149pe+ErqH+pws/Z+48/LxrN5x2O5YsWSxBzv/VK4Fg0d7Tp+AC0R+hP2NEVHXVq086/RqyBLiIfFHPIrLMyIHXr4kHucTM0BegL0Stz/uq0Ntz0ezROdd9Cg2I0mgqhg+6UXRP0w8mVGNiY2XPpkqdGrGxMbAS2jCrcRkvRXNWZe/JkidDcHCI116nqeH9OG5yroy+C+/z4sVL+R0d41QpVapDqSWD1lAOppTv07HnRd+OG4WYHH1M+nNGTIl+pMLPTBJ5eoIXo17SfL9E+oVRa9M3IiPUN3FO7C76rcLAWPLGqPx/KujvE+oEVToUhJatWsPhcKFmzRro3Km9mjMvNF2VAfH64cdxkjdiufeypYtEgHSz8+TxU0GSiZYzl0X6DdU57xUR3hPVqlXzckZHj/kBp06dFlBxyaL5SK5HhR4/Osl3Wb5iNZYsYR2dWXbz7MhIHD92Uhz5+fMi3ULMZ5MwFx7RS5gSzNq3a6sXZqj3XLRoCVatWQu7zYpNmzYizM31Uo+v/R0jzDhkz54d8+fN0eaHg1Rz4g4MhL4SJQxSbtjNmzfgxx/G4cLFi8iePRtmzpjuLoCgcBJPi+jVVwS1XdvWUo3kC2a+bzHr1msgPmmhQoUwY/pUr48eP3USQwcPRwC74Iwa4W4F8L8lXAkEi9qqbr36sNudUnPXS0ud+KZpdC02bPhIHDp0WHbIhvVrvASLTTyaNm2OuPg41KlTB8WKFcXo0WNFA9C01axV00tTkF90/MQx0WYb16/3lFm5BStpH4I41uzZkYJCb9i4HpMmTcKxoyckDbNq5VK5lz7mO3d+R5u27eQdmzVjrtCbNkOS3OJlKwCHHbv3/IzUKb01HtMwzBDkzp0Tq1auSGTj6XV6ZowfPxHrN7Dixyk4lkoPnUeOHNncHWL0cRE66NK1u1gApofatGn1rwSLWB21VvHixd0Cr0vX4aNH0Suij6TSJkwchwoVFE3ZK4RNUmr/ve/mJVh8QWI9nFin04RPPikmFOCEKQA9djRh69atuHnrthDWOnZsr2XYVVUOWQQLFy4Uk1j0o6KSatm5c5cIVuWvv8JHH6meEPq1cfMW3Ll9S1IZnTp21LAR35RCwrcnZsbCCXKEiPR36doJ+/bvx60bd4Se0rZtKw0ZVikLhulMMrMY8/PPS6JC+bJeNz1y9BhOnDlLXq7URSYTrpEG9ppMmDp1uuBSNG3ULAk1OnFBlXHYt/+AYGB8bnh4D2zfvlM0Ztq0qdGieXPNJKlxkb1API7arUKF8sLP/zcaa/qMmWJ6Oc/Nmzf12rS3bt/GurUbBNSsW6+ORlf6/4FgKRWumnPdun1H/p4mdSrBXvSLL8lFISWYfyeop3OVPMlLHYfRJUaBOgqh94KH3ARA/f537z1ATEyMCF7evLnx+53fRSgJmGbNmuU9VkBLSblpnQCJge+iYwSJz5snt1swOA6i938KbcQl+E8GiSA9ZL1nz17gyYvn0vIwf/68gl8ZL3K1FCYWhCxZMgt8QfuXPn06d6SmCxbzny9evBJhIffrwcMHeBcdJ1RecsjcuE8C5qlJtCLpLfwM8T5V4ZP4NHBub9y4qbV9CpYUEb/LdSSw6x/ojwf3HskCZMuWVShNusZSAc1f8jz6wey3xc6B9PnINCEN2gix0NyS6s17kbqtc++NmyBRU1izVm25acMGDdCnTy+vNxGTExWJAD9/rFixTPhG3s6tR5u9zx9I7Hd9+g7EsWPHkCJFGDZsWCsd/Zj5Z/5t/HhVWZP0tOq7j+CeE3379cOJ46el39WqVcu9TOHt23fQtm07xMZZBG5QtY+ei2j5/EVLhM998NB+pEzh6RPByStbrqIAuWxz+f33Y9C2bXsBKqll2axELQIRbj/BtFavXi3zefToEaG6ULvmzpUTy5YtkRyer5uhj4Sajk3dGCSMnzAelSrSeiQ9C+UrVJLaS9aB9ujeXaJqobn0ikC2HNnRo1tPyeNOnTZZ2kAZBat92464cOkiMmXMhM1bNqJa1W/w4uVLlC5dEpGRkV4PZQosIoJy4ZJsQalSbI+k3U3H43Rqsi6RRL/pY3GiSCbr07uXQVqZk1siOTmmZNjVhdKswPT/ebvnfv0HCkmO/tq6dWvRoEFjiSrpD5AB+U8Fi+/Sj4J14jTSpc+AVSuXeaWHbt/+HW3btXfjWD1In9Y0FjeJCBYpJy7lF7EBmv57CkGFil8JSEnazNixo9GuXQcRtI4dO6J9OxUI6KkTBitr1qyTsrUjRw4Infjs2XOy08l5Z37PW7D0AjqICdUFa8LECdIF532C9eWXX0tUSReje/du6NJVsXd79uyJ7DmyIaJnLzGFk6dMTCBYHTp0Em4Xg53NWzajRo2aePHiueRWZ86Y4dUs5ODBQwgP7yXrHhU5G1988R7B0ieDZoJNUTmgfHnzivTrQscJuHbtOq5e/UWy41WrfK2p58R5O16C8A8U2dHjx/D48RME+Afim2+qYffu3ZJuoRksW6b0vxIs4lwPHz5F8uBkqMbGr1IRrAbByd+7b79k9wsWzO9FTebvmaO7duOmmEKW8yuWhefasHGzZqJT4PPPP8e+g4fgtFnxYZEPUaSIp0kd5+v8hUvS3JYuBjGzU6dOCTWZkSb7cCl6jy9/Tc0n3Y59+/ZJqql06dJCJXqfYDH6pN9IxueHH36Ig4cOyTsrZmsKHDp0VJoWly1XRiqXPBrLJZ99/OSxaPbq1Wtg+7Ztwldjvwr6e8bo8f79hzhy5Ig4HpUqVUDmzOpeiZpC31VTi2ASlJqFn8RHCBzmy5f3P8Z3GY0dPXZMHkXHlC15SCemqq9duzZSaS2A+ACqcNJ2SbOhf/G1JIaTvigM5y5clMKABvXrahGlnvgGVq1aJVqY/Kqvv/pSTYS2D+lvkQPPcbArHyPjq1euwuRnEiaFglA8E+cOJ1wuMRfbdu6SYgTWBkjLJ3cjYOD06TP47fp1EazmzZomqL8z+i4sWdu1a4+0vfzkk4+RIUMmYbAyJ/fll19KJOndlMkzH1wuviM1Z4YMGSQNtmvXLgkiPv30MxQ18PoTrjWwY+dOPH3yBCGhodLPgikpnevGoGLXrt0iOLwvacp79+4VOahWrao73/svBAvYu2cvxoz9AXaHE0OHDsa331TVds2/D0F3/vyzwA0cwMAB/aXf5pIl5Az5Y8XyZdJxWJdagpi1ateRlE65cuX/xhQCi2ii5y2QVpGbNq53d/TTA4Yvv/paJp3tEidNnKCgB+k+wGIA0mYGiQANHzYUt27dwbKly+EyOYUC7NvzSt1TiReLYttL55p4iYo7tG+r3VuhecwOrF+/UaqaDhzYI1Gq8TIKloIbesJms0hkW+yj4tJ5kAGSXmXzvlmvUqUaXr9+LUJEPhv7bNC3Cw8PlygxqYvj5HPYgZnExa1bNgsfT1+Ls6fPilnlRfwxe44cbh+LprBUqVJuKMcdjBjLv4wP1ku6KKmjRo8VzGfEiKGoUZ2gpmIS/ttr586fMXTYcPn+sKFDcP/BQyxevFg0BflX7DisXxSsb76tIYwGFgFQGN53kRA3bXYUAs0m7Ni+RaMmq+a2/L8KFSqKaqc/MG3qFA/9ABBt1advPxnH2DGjwdB88cIlcJkcOHTwoBvF1ifNqLHYNZmBAKPZrl27oFNH9pTwQCTjxk2QRis0UceO8l6kzXhXTevvRe1NbpfFGo/uPbqiRPFP0KZNWwmO6Bd9WanSe2e9QoVKePP2LYoXKyY9Sjt07CSC1bdPH2mJ+b6LVO0LFy6IWdu+fatXbw6C1h07dpL5CQ/vKX51jx49JeE/Z06UmGn9SlSwjKkbHT1maEl4gTVxGTJmQFho6H+ssVhpQ8YlTRAbylJ4WDrPwVBbKQakujgWmih29GU4mylzpvdOKoOO59KVD8iVM6cg8OooDrXINOm8p9wrk+5fKKmjULBUjONgaE4/k5qS+4d8cl9eklFw+FkWetDkMP2jd5TRP/Ps+XPB8/gzYQ9aGC/mgjY+/p4a9cHDh0IvSpM2jTR4YzMUXnx/ZiSS2s78PvExskFJr2GCmtAGNxWpPhyXZ27dZAr3v7E6irwwWg8GJW7cDgr2ePjwgfwb35HrRH4c54cFJnpF1HvhBgJskydPEe+j5GefCsd78+atsDmcqFvnO5Qo9qF2xMW/11h/p+FWrlqFG9dvInlwsOy4GTNmysuyCqVpk0bv/frhw0exa/9+BJKu0itcNIOUhsn/vJ1j+jJRc+aKYJcvV1Zq8nx3nC7cXLDly1eCBRikqZA+7Ole5+t0A7/8ck18HWYA6tWrK/0XTp8+K8S5oUMGalGgt8bSF/HevXtYuGgpnA47Kn1VEbly5haqDDUFK5OIgxnfhVqaTeS4GZiInzRpighBzhw5JDBYuGixvHmVKlUEr1u2jERISJ9UmnB2PuYcDBo0IEFu8e/W6u9+b3JJU29eClnmziddxeZwoEH9evigcCGMHD1WKmZHDB2M6lWraCcQ/PcFq/+AQTh06JA4h+vXr0Pjxk0kgitTprS7Q0xSL7Ro0WI5UYMQAVv8ZMjgOUDAOFK+I3Gs1m3aiTPfqmVzKbnXtbU6F0bnsynKNUPr02fOSk9V+oLBwQoiMFZt6xpq37796NdvgBwgMHbsKFy58otQk5lcP3RwrwCTRo3F99GJlPSxOnfpIT5W126dUewjVum0k4iWaRjieUbBaq9BBAQ0CV3wqBfiWEWLfoRu3boIjsUrIiJc8po9wyNk3FMmT8aJkyewccNGEazdu38W4fxvXiaXHHniYYISN2reoiWsdifq1K6BQgUL4sfxEyUqHNC3Dyp/Xek/9rH+buB6TysK1sKF8wV4JBvgs88+kyqT911M0SjsySW4lacdt66xPD20aDJ4tAiLTBs3aYj2bdsqMqnsL2/B4qIPGTIcZ86dl6a5c+dEimCpjybsMMO8KQMU/4BADB7cXzTYli1bJSrcsmWDcN4TA0QpmNeuXUPffgNlXG3atkKRD4oKNZkaa/TokQK5GL/LMiyeZkHTNXPmdDRt0kw2IqGGDh3ao0+fviI4JExmyZoF/fsPEFP3/fdjRVtt27ZdBH7jhrUSSf43Ly+NpcjyJhkc/8YSLXLbaR458yHBIW5us9Ef89huYwGF8Rwb9QkdwlAMV5/uvC4X3sXESIUxJ4+4y9u37KzilB0bwtMivNicBn6oluOMjWOzViBVyjADB0ppYzE3Wsih02b44WTJAhGcPNhNuVWkTm8TF/0uRhpnELXmuHT507W8cUG4UPTZKKWcL0IHciKHyyVVPjrl2/gd3RQyfRUdHSOZA1YqsevLO3aXgQspQlMggM3NDF+kz8p3oeDx98xScI5ZPEHgVTosu1ihEyxRXnT0W3k3+mqcZ1Vir07U8KUGqQVT/6fPiTsadp/0YVzX9+BYFCw662yIT/+kWrXKaNuG/Tk9AChBuJUrV0mZ1eRJk7B+/XqcOn1aBj9nzmxpEqZfT548Q69evbReAZVRuFBhTJ02U1ie3bt1wdMnz8VMsLHN1KlTsGLFCkGlGd6z92mPHuGIefcOn3z6iXQ2ZotCS7wNtWrVQJ58uTFx8iQE+AUJNZmHOZGazDbcc6JmI13a1FrZoSpLa926vXCsWAQ6ZPAAt6D7TigXhr7I5k3b5LTQRYsWStEu+zmkS5cOU6ZMRtu2bWG12ZEtaxbpSWq8Tpw4CUaC5ERF9A6X9uW7ft4lGmvFiqVIERrqxW9r1pyNTixSQd2pY3sMGTpSKl+aNG4inQuNQj5nzlwpuacJX7p0iTA42FKKqaVx48ahffv2ogR4Ohr9KDJs+e5t27ZBhkwZMHbMj1L6P3jIAJQqxQ7MatO97+J88N1HjBghARyrkBg5/vD996KxR40a6W4lqjacul+iuUJWjlDIGjRogIjwHobQXLWqnj1nvnRHXrF4EebPX4CDhw7LTuapW8mTs+ZOCaKizTSTaKdW7VqCAI8YMUYitgED+uHxQ9bkLRYi/qrVy6VnBOsDaQrXrl2Jhg3pY71FuXJlRRBbNG8tSHzjJo3xwQcFtFO2AjFoYD88f/5MdU02m7Bl80bNx+IwVEuer7+qKgvII0kmTRxvwF2MPCrlbrKN0bKlK0UbCNVlxEgp0OR5NcuWLUL16rWkti53rhzS/NZ4sY8DO934mfww9vvRuHz1itRqkg1x+NB+t8bTv1Ppy8qIjY1H7tw55LCprt26i4broh3SZLy3tDFav0nA2L37dmHQoGECEUgbo0XzUKsGcT/SZkqge3f6WF1lHcMjeiJ7zqwI79FLtO6kyRO8UjrvlywF8rJFKFE/FsCwmW6viN5iHVhfUKrU50njWJRM/kdmJU+g4t/J127bRtFC9Isaa8XqtZLmGPfTD0pjnaLGSi6aQqlrJbWEKXr37iN2nFjUBx8UwdRp00Tw6DA/f/4KmzZulgFOnjIBS5etwvnzZ+WErGnTJiMioo+obzbLaNG8qfCJLDYbataojvwF8mHy5KmS6O3atZPwkFatUtRk+kFpWYmjYet8l5Yt28o4ihf/SBZQv/TTFvSfVRS4AkzbsAJl8WJqrBlSZsUQftKkiWjXrr2wQEnWmzJ5ktf8HDt+HBPGTxKGaK/eEdJc5Oefd0tUuHzZ4gSV0c1btkZcLIU0lxSdjhw5WtotsaiWuVqjxmIku2fPXsGmlixZJODrzZs3kC1bdqkJINZEi1OwYEG0bNkCw4eNEK3bslUrgSvGjP5eEPUhQwahZMlP/6HGgrw7eWQ0udSEmbNkwfdjfxTzOXLksPdrLD5F1Y2ZZJE4wWRw0tl7F60orbTNdOLpQ+inOMjhlppO43eI/xBcJfWVJs04MZ4VUJohJoZ0YnUvdtmLjYmVvgVCc06TWu4lx5gFBkpFNlMtxnFxEvldGZfTqfk2JsFseGKCLlh81ssXpO2qo1a8HWjiRzap8hG/iPdyOBEbR78SSJM2Ld69jZaOMNztHOdLKUOD+J/0T1SEqDSf7oeokimI30jIRPCktGnEVBv7njIlxOdxnoVC7a7WSahHvE5b8/21C3iulcfxXpwThcWZBLvjOr15/UZ+ZpW457CBhKaQa8x31NeRn1d+oHooTTGDPP4b/Ua90bHRrUjUFDZq3EQVhtb5TipYfvhBUVYGDeqPp89eYN68+QgMCJDILUf2rFpDJ9UprknTpnj1+g0++/QTjBv3UyKCpSglXEWWgJOGw1wYdyAbnjF5TFO4fPkyNGvWXFIU5cuXQ+cuHdG6VVvExVnQtGljaWU0YuRI+JkDMKB/X5nU+fMXyb03blgn7ZPkiDSXU7r7fvtNLTGj9C3Ga5XQapqc0qBt0MChklgfPnwobt25jVUr10qPqm3bt2LsmDHSsZgh+eJFi/BdnTqIj7MhZ47sWL58idzFV7D0d5w6baqkdOhj7d71M8LC2DdUP+MH0sifG4zg6eLFC9yOcuKejz53CYWO8/ltjZoqpfPhhxIJ9ujRQwBTpneyZ8+Bvr37CbvhJ3b382KQet+PbcAJXbx89QqlS5UU/9fTqtuEI0eOonffvjCb/DF92lS3v5YkQEptQJ+GOTorj5qtXx9FihTCyBFjpHfDsOFD8Oz5C0RGzZUz8pYuXohcObO76/1pHurVbQSizWXLfIFJk8b7ZOPduk0EK2rOfBEsDmjNmlVicihYpM2sXbsa9es3FLiBOBZL6puyVWS8FU2aNJZxkdvECIgd/dggY87c+aKet2zegIzp07vPtaZgfVmpsggW7zVlspYrFO1AasxhDOg/GGZ/M0aPHiE4l2oM65RTtkaMGInTp0+L07pyxTJJNdFfI1Fv9SqdmuytsfSoefwEBjgKLyKOpXpKeEiFpDkzemOlEDsPvk9jJSZOxn/76qsqeP3mjfiy9EnZcZlWiPWN2bJnRXjPXmJdpk715mP53pf+YJWq1cRCMLc6c8Y0pQxUeIgDBw+iV69+yseaPVMIBR7XIhHnnQvMqCIyKkpMToniJZA5S2Zs27pdzET1b7+RSThy7Jg0Nm3TqqX4MvpFp3J25FxR/Xnz5kK9unUNjj+BIg330Xo+UFMcP3FS7D47Gx86fESYi6ze6dihPebNXyj3IqOiYoVyouGYc2OZPDGlLVu3idlkYvzdu2hx/DlQctjdXV40kzR58jQJsfPkzS3sB6NZJvOSXZbprzHi5AFOJ06elLag4RER2L59u6SEKBTt2rYFKcCEH0gv7tC+nSYMniBAb9DC+WQ18vlzF2SB+/QJl+OBjdfUqdOEwUEWK6M3Yz+hxN2IpMVr6rQZiI2JEQZHpYoVsGIl21068NXXXyF1mlQSRHCuSd+hH6auhLqR2pWcNLo8efLkQeNG6lQKwfrMJmGqsokKfVBaDzKJ3ytYSqV7n/Tg+zM5QvpppFwkpkd4ekKAv5/0eCI1hqE4VX7GDBlx584fIqSpUoVKmdW9+w/lGaT0cqHZIog/Ez2m/6NPJrUFu9eRFUAhyZGdXCRPkxFibeyiTL8pW7YsCU4j1V9U/BKxIJq2NDG20UBTbQd6plYRadzTrQmlcV7U7zyfU/OtY3IGXJzBkFmrZpLDb/g/J/66S2ryWxEwajymVih0ZFaQI/XHH4pOTJYBSXf/VLh8cUXfn9+8jcbdu3/JGJhL5ZrRbKquhoW88rT0rW7cvKlRk1NIOyYexceLp4Cx/vLu3bvyc65cOWV9+LwkfSzjwiW1L8hGiJw9T8wGzUDUnDk4sP+QNMrYvGUTmjRtJowEFimwQ12jRs2kVKp27RooXqIYhg4dIUtDpgThiIULFojzR3YDWZV6aoQvzBMgGEhUqFjRyy/iOMm6YJ8mmsJhQwejdu1aiQ5Z74SjlpyouscFln/RBc4dghjAUV3IjJtN2+NusDeRpyp5pQBrWkydqgSny4Fu3Xvh5MmTyJsnj/hn1ap9Kz0n8ufLi0GDB6J9O9U3nimZdu3a/WPBcm8knya7+qYgyY++FqGeKVOmSA9RVg/Fx8Xj4MG90l1av2gKK1epKpu+TJlyaNWqOTp17CLTp2gzORERHiE+KDsJsl2mvm4JcCzf+fH9oL4DWHUze/Yc2WHs6jJn7lzs23cQKUJCsXXrRjRs1ASvXr8WbINNUevXbwxLvAV16tQSwRo+fJRMFoWBTcZ4P6rntWvXCNBnfDkyGZn7Klu2LCZMGOelTSlYQ4YMFfPqK1jeCD2X1wEz/BAfb8e+I2fx8lW0mDmzmdCI6pvg7hUsik3EUTtmS9Nw0rpe9VWglnSC5yvzcCqn4GTuv9vt4DHKrEm0Oa1SDp89ayY0b1JLgpQePSJASCJ37jxYuWIpvvm2pkAE7B/B/lkd2ncQLdKlSyc5yf7faCxfzWpcU7oddOi5iQn5sHPiunXMYVpx8MCeBIL11VeVpZkd+eytW7UQf40+FQUrR86c6N69h5hCct7/ljaTlJYSda/FmqTZ6mfp8Py769dviOZhSfnXX1XEocOHBeBLnyEdin5YVGoOyeXKkTO7+GPs58SLeBKR8Fu3bgr1loUChBT0i+qYtFy+OKOxkiU/8xoeaR7nzl8QH4v3EpKg4TKaAt1UXb56Bxs2H4HJHCjC5IcAOPxU5bWefFa30M4ilGy0U3XJ0ZrI8b48KIpCRv+FAmW38/g1ChTP97PBYXPIkSgWWzwslliEhvhh9oyRCEuRDCdPnsbT588RGhqGCuXKY6/2jgSYixX7SNi6fAaLTo29w3Sh8X1HfW08AuhpQ+n5rEso3yziIID8ealSePzkiZyCRn/q22+quE/MUHgmsGv3LllH5hDp4548xWPkXChSuLBAMsy2cJ7Kli7jzjMmGhW+T6iMguX5nGo5eOTocemFQMC0Tt3v3KVS1ATRMTFgOx0OiOF0KUYPGhYiqYIrV/DLL7/IfVh1TaF7cP++aEO2wTYeBOWlhcjV+vMvHDl6RE7gotklXYRAHi8WxzLJSuGjX1erZg34Bfjh0pXfsWnrcXV6o9kFPydZktpRxNqpYUqDaY3ktFbV1E8iWHaHRMDsNOySMxkd6mR4h4NdNaXdN516huuMkOOtFnEDwkL9MWvaMISlUJ2cdUHnVLCCh99h12QGJaT8UkBLlCiBdOnTYfcuVYdJoiIJdkbOO6nHbEtJeOabb77Bpk2bJNihb/bxxx/LxqTgk078wQeFPEtnMkmUS6asndVYDRt4HZ+isy30RJ6+SbkGvi2tjHLzrwVL11aJCR+baxw4cBihocHYunWT6ionwuPEo0dP0LhxU8TFW6SqmnRk4zVnzjws0hikrCjmaQpsO8j6uS1beC89glIFsMaB66bQ7BcgSDLBQJYpcaxsbjtu3HiBLjJlzIzVq5YjeXAQLlz+E1u3n4QrgHdzwOSiKfQXoSG+I4um9+DUW0ma1Wk7LqddAEOaQTvNn8MuzTmIE9EnIbJut/HvTljt8bA64hFns8ISa0VYqB9mTn8dnOMAACAASURBVB2JlKFkRXhXM1Ws+KVsirx5aQoHoaM0l7OiW7duKFGc1OS24kfyZFdaCOMcsLKGdGJGbqTNVK9RU+aBQtm9W1c5LY1C26dPHzRv1kQJtbR35BnRP2KjnHJhwf59uwymUOvwZxinmhZPV+n3KaFEfSz9y1qqT76v3zQpMzNo8DAcOHAIKUJDsH37FgQlC3IHsGQZNqCPZbFI9e2QIQMNtF2T6k68YKE0HSNuNX36LBw5QiENwY5tW5EsOLnygaTgVZH79clhMnbQoMEw+/lj6JDBUtQwe1aUfGTnjm3SI+Lo0WMyYWvXLJPmH5eu3MPWbSfh8vfn6TGgMWTkRoFys0R59oyg6C6paLFbYnDu1EkBT3nqBpkW+fIXQEBwCtFMFCpqLQoa/07Bol9ls8dLu28CutRYM6cORVgoN4rnHfhO5PPHxMTLKWg87LI96cRWq5RvUUDatGkNf78ASSVV+pJdjz3BBcvOWLJFwWK/LAYCb16/RomPP5ZaSSWkFKwItGrZws0u4RyO+f57rF+3UfOx9iJzZvKx1FE16lKZC7XZdPxR/1P7vbYJjUFfkoKliZJ2Y+Vb+F7uG5lMuHnjhpQpMTf2yWefSic9XRC4G9gAg+qT0ANttdsWSvPWv3D//j0hvpF1QPPGKJAlUZ98+qkstjxfz48YBsLIk000uDi8L30bfp9jY26RuBN3LyEMlrCRgnL56l/Yuu0E4E9YQ4cVTILNcINyHPw+hc7Pz4VHDx7gwrF9ePH0ITJkziH92C2x0fAPCMLn5b9G2oxZYLOo3qs2h0X8LJpDmkEuqM0Wj9i4OKRIEYiZkylYwZ410nwCJniJzVFLs9f71V+uimZkITALd69cuSzzQEggbZq0XhqLpp+wC1M2BEXPnOG9bEiZMpXAAHQzeC/ytZjX1C8qEOKFPBSBY2ezYGKHnlSTbgR1+MlT66jDColZsSRNIT9MgJQN8+lLEHWtXauml1wdPHgQP+/e4+5Yx9o/ktmIbfCwJJa062gOUwJTpkyVSSZZj9W/q1evkZfloT9Edvft3S803r59eks9nK6R+PwxY8dKxMQCzBrffouJEyfJxPHojho1anhUO9HgAwex6+c9gsEOHjzQTU1WL6u8mktX/sSOnSfg8uMRJlqzXQH9tHOQaQ6l8asTMXFvcWT/Nty+ypM0/BEYEoaQ0DDYbRbYXTYU/aQUChQsCrtNnQpvd9hEa7EwlWOkOaNgxeiCNWkIUoQEY868ebhz644c0En6NRPDzAiw7L1X7566CyrjuPP7H5gxY4b4mq1at0LRIh96+Vi+i2s0V3/88YfqMu10SJ0ge3D4Wh3Pzy7MnDlbMDSCwHQtRo8ag+joWBQqXFCa6tK6UMA576xXIKuFU0uqNqnjbk3lS5vRF5TU5O++qyMVLaTN8HRN4wsIjhU1XzhUK1csx/z587F//yHZcdu2bVZteTRM8tHDx2jYqJFMNB3qjz4qKjgWBzh0yCCBG0gp5s/r1q6WydUHSLPCUn9qpoqVKqFHt25o0qSJmNXmzZtLgw23z2AyCf0mKnIuTGYXtm7djIwZ02vzpo7xoGBd/fUetu84Dhc1lgZ0yp+URhN9ej852NFktuHm9SvY9/M6BDrsCDQHwmYyS/THwOJ17Fu4ApOjSfP2CAhIzt4hAuTSEWa7cNFYFk2w4qmxAjBj4hCEss14z3CcOXUWufPkxpIlC1GtanXxsdjkd8XKpWrMmsLgQZjkWFGwJkwYLwcAGJ13FcEl7vvwEPJOnToJ0ZDl8K1atPDSWB63R/lcLP+6cP4iMmbKhC1bNqJKlarSU57pGnLhunQh3GCSKp1s2XIKzw4mJ+ZERb6/Elp/ELUIueacHJ4jQyfQeLFQYO68heJrzJ/Pg4CWSLsgOtpr16zyyppT1bJdEAWreo3q+LDIB/jhh3GSae/dK0Iqb5cvX47AoEDMnzcP2QyNbum3NGnSTNDh0mXKSopHCHZWHt1bX05u0K0kpYJUl/nzFsHP34RVq1Zo1GRNfDRHnKZwx8/0sQIExxKTbvCveMaPH7FpRwyWLYpEzjRBaN+kPtKlSQe7y4w/fr+FJ08e4fJv17H/zK/I8+EnqFK1Oiw2foewg02Ej3Nns2im0BKPkGA/TNc0FusXz505L/ALOzDXr9dQGsYRx5o3b67m4yg+/eXLV8WJ53z98MP3Xp0Gk9Y+Si5JWe7Vu5f4feR2NWnc2Gsj+mq78Ije4BlCbGyyYsVyNGhYD69fRUuld6NGDdCrd29RAJ07dULWbNkk0OCDpk6ZLNZIvxL4WEbp51nBtL2EEDz0CrUQ1Bh0Svl50oXZy4mD5+KGhAZ7dRQWKktsnGgMMkvpO9Hn4IDoTDNIEJoMgGBSO8Q/8zi3ilrrElotS5rYD50/c0yeboAKd6G55dh4MUJVhxZoZlCLRq78cg87d52Ew+xPhqP83umnfCxGhX4uxoh2xL59ht071qNy8Q9QvVpFpEiVBkEhaeCwROPVk7/w5PFLLNyyHxfu3EWLFh1gdZFy5BQ4goeF0mey6oIVH4/QEH9MnzgYYSEhiImPlVQWwVLOH9tV6n6LKtLgG6jIkfNK+IC/Z3c/46FVXrvdgDPKZoFLNCh5Xvwu54psFF/Ixoh9kWGhn1HIQIynrZGpTh+VbFj6y8TuuA4UdL17IhWKDgsl6mPpEkx2AwljfEjVqlWlsjepS2/Vo3O/9UO/3ZGL5vl7XEHjidEQivO69etl4KSXZM3iaVX0PohDaSpD6sXlwtq167F61VpVRDk3Uqg9dGZJJ54+fYrk5q78chc/7z4Np5mHH2gmxE8dN0wN5u8yw+yKhyPuNeJjn6NE/tywx0YjLHUG5MpXEA7LO9y58SscfgEITp8NsxcsxQdFP4XD6Qer066iQ3He7aJZuenI6wpNEYjpEwaLjyUVaZ4JEesQF2tBzlw5ZZweGrhmFX1M3fuQ+GbNW0qmolChgtJznuwPbm4mtzm3I0eNFqFgRfu5s+elBJ8CuHTJIikdYzEH/Vyi6ao/vJrjS5cuYujQobJZ27RpI7WEo0aNkbkeM2a0YGZGrEvWx/sgTFX+xUMjKVgN6teXNkYJF1nxnNTaqnyYihTVyQVwKZ/F2/6rvlkul4YXASCHe+GCJUKYI22GvQn0Sz1T9yG878XoxZerTh8rcvYcRZvZukl6jx85fBwZM6XHmjUrRCNSsHbuPg0XUznagglGpR3+yC5YZkc8smcMw7PHv+Oz4h/gzJEjSG5WPbaeP3+C23fvI0P+wqhQ9VusWLEOVmcA7E4/2EEHnlGhQ3PcbbDGxyPGEofQkABMnzAEKRgV6glwzU0vX74S4mLjkb9AfqzUfSyfneyZa28sz3fDExNjOo0wBY99IdxAYY+IiJAok/wszg95++Tmk/1LjXjwwH7hxytTmFZ8VCM4zUYm9LHI/iB9KUf2nHJoAlNlc+ZEvj+lowsPqcms+efPLHQ0lmZ7C4qGaRh2nwaq68bMLXSeCXBjufJPa9duwOZNW8UvYi4ws7FC2Qfn8Ai3/hQl1EqgTdi0eSvWrFkjO42FGIsWL8L5c5eQNl0aTBz/k1QVX/n1HnbsOQWTiaZQ86/8nLCb/BDk9JfTzkyIx5dF8iM6+oEcjPTy6VPpJJMmdRrEvn2Ni1d/QVCq9HKe4OVrN3D7SQziTf6yEXmGNk2hxeqEzWKF1RongpUiJBDTJgxGWGgIXFRXblwIUjfIqJB1f6oHmAKD1SY0NKzTUBff4ltde/OzTFqT6pK/QAE0a9oMo8eMlawAg50sWTJJwQXvzRZP1EI6zZmns86aFSkai5XOM2ZMk3nUYSXCGmPGfC9C2bR5E8EGx4+bJEjXsGFDBOp4r4/FXxIKIP5D6aA9FWryu2jBkpjL4+8ZxVBbkZBnPFKDL0fKKtUv/QECndI12eUSYiChCBL3lB8UIg10uWP0e3l1zvMRLPob6nQvHhhOO6+NS6jJIWL/Y2PiRA+Q4ssxqq7JJulszD8vXbuHnXtOwWxSzrty3F1wmvzgB3/4ORywOmJQNEs65MyZDskCTEhuduHtqzdIHhSMt6+eISBZMviFpIDd6Y8LV6/j5uPXsJsD5URZl4MOu0NqMvlsqzUWsdRYwUqwaArfvnsLm1X5WJw/mWvSnNlFORX7cCkwWOUg2d35rZovOWDdAz7z3zgfDIzku3IvUrdJcyYt3Lt+kZ/jvWgICCnQVFOg+TwKE9eFviGFh3RjoYWzA3NAgMw3FQ4van5+hh2YuW6kn+u+33t9rFev3ogpZHeZhg3roXChQoInUc2PHD5CuFg0YbwZbbPKXykp4GDr1mmA12/eClm/X78+QpuRzjE1a6BY8Y8wYiTPsWER6GBJjLJDMU3hqpXLheqrroSwLHlcPAiTgsiTsD4oXFDOhKbgywECr14hKmqeTAbTQZMmT5RolcnwVSuWS43fletKY5mhCj6chBjEktMcmmF2Ag6XDSZHLArkyYaUiIEr+hVgc+HJ42d4/fIZsuXIgmRpM8I/LCPOXb2JaIsLdh6tYrdL2sdCoaKAxls0waLzHohp4wchNCQY4RHhOHP6rPhUixctxDff1BQnO28+xSDVtQT/1OEGzjU7+pFObNRYbPTG5mz58xeQMrXqNWvJ0S1MBVELubUImNM9gp49w2VDsmzsxInjcsYPawvJkqUpvHjhMjJlzoANG9ahevXqePnyLb4oXRLNmzUXU0gB7hnRQ4o3evfqK5tj1szp0m3mbzUWfSzyne0Ol7SqLlKkCEaOHCU7aMTwYXjy9Blmz4lCkH+AtDpkdYk6lMklFbw1a9WVRS5TphT69+8nXfkYUdSpU1teWHWbgdyLOBZ56myUsW7damEoKCFNKFjsgcAOzIwqWSnCBmeDBw+V9xk+bIhw3pnS4W7atn0Lxo3/CceOnJBGJmvXrERwciVY2/ecElaDuIKMCJ2MBAG7PyQqNDudsJpsCDI5UThdcgS+e45XL14jJFkKPHn6GMlDAuGfJj2eWJPhyesYuKhdHDwCl867JljMGVqssOgaKyRICVZwMHqE98DJk2eQM1cOrFjONEwNAaWJuq9du8rdxIRzcO7cOakIUt1mJgsr1Jg+0bvwSYn9kkX4trrKFdJML1rIUzo81+GjR8TFYVM7+ljMo7Kmk5qMh4WzYzUFmb06tm7ZgKrVquHVyzcoW7Y0mjdrprrN+KtuMzwrMbxnOMwmP61V5D8QLIads2fPlmiBWXH2K9i+fYeEsDWqV5cDADhIegHt27cTdqF+UTNFRs3TKK05pXyMiWaavBIfFxOcSj8A6ttvvxHVTRoJBYv3YspCT/n4Rj+csLlz58m4Sn5OajKBvK0y0Tynmb7FIZ5XaDKhW/cu0g2QLSGpqtt3aItkgUG4dO0uduw9DbNLZQeccoqaEiwKmR91mQOwmO2A1YIc6QKRLPoRwlKkxtMnLwRJz5o1E2IDQ3Dhj1dwmHgWIE0gKTR22JyEG0idocbSTKGVzrsSLJrCVWtWy4HhadOmk47L06bNEB4/AV32L/X4VmZhjbAw1WT2E+zOSKOhSSMGSCYnkXC27iZlmsQ9As2MCo0Xj7+jD8r3bdSoEW7fuY2LFy6KT9i7dwQ2bdyCe/fuIzRFsGCX02bMQFwMjxTOg89LlcTKlavldl99WVHK4FatWi0arFmzpvKZJKNCHceiL0MnjikV0i84SO1t5Y/HT55K22juInKGHj18ICAmc3FFinyI69evC6YUljIU2bNlF+4WtR2BNzqoui6iBWLroMePnoowFf6gIO7ff4zot29ExfIwSl//TYykZnapFdmDgTub0SSxIZ7AymRxkSIfqNSS4fQvCtKla39hx+6TMNEUuohhKTn2I3VGIkMzApwm2E12mBxWhIW4EPj6LxTIXwiBAUGCuTEK/zPahit/vpZD001Oh2I4COOBqDuT0XbYLHTidR8rCNMmULBCNGXsaUVw+dJlQe6DQ5IJTGCEG7iJyS9nliN3njx49/adUMHp55I0+fudP+RkMbYIYNUS/UhdoxEDvH7jhqwZ15DnRbNIhL+nhqN/RoYo152N2pjOYdU5weoPPiiMX3/9VVvHMOFbkWLDqc+aJbPQk9WLGJPSmhOTVCU0TSEbmzJMJU+Hp24Z4QamYGbNjhRHkimdqKgo7Nu/D2EpUmLT5k1SWUNN9MUXn2PQwAGoV7+hVkpWG0MGD9ImTkWHwm6Yv1jaWLFka8rUmVpz2xTSVY4AoibVcsCr0f3avWcPBgwYLCHw8GGDJfXDCmYK/I4d20QDyAmibkk24dKvmmCZAmCmYKncM1w8FJKen8mEAEaLoGBZkCZlEN7+dhIPHz0WGCFd+vSKH545N45e+ROBGgDLFk92nVJjswqwqQtWnJXIuzeOpZFW5XXKli0ncAN9LLJojUn68+fPo3Xr1mKCpkydihPHT0r7TJov0ovYDPjS5QvCRl2+bJkch0dNRgEjt62dxkbt07u3nFXdtWs3cezZMoA9RFUXHCsOHNiHgQMHC1OClUiEGypXriwVW1+U/gItW7REh46EG4BeET1EO/rSf4y+oSiAxLomM2lJFdmoUUP069vHS6UuWLBIjhMhKr9y5QrMnTsXXGRWL2/ZsllaaDMSZCk7y+jr1qkvUVCdurUxdNgQzYdQO3bmzEjwfiyxJ21m2vSZUrPGiGb7tq0INgiWIiNonWA0hmP//gPFGaW/xt3HhC2bglGwWIyg1LP2PRdw6de7yscyqTYAhNvosAtASj+R2JvDIfhMsiA/FM2XCa/v/IIHt2/DEv0G6dJnRNps2VCwVDkcOHcDL1+/lYJbM511pojsJjGD1F7xtjjYLST6xSKZBpCmDEkurSmNV5kyZSUiY65w3bp1Bo3lwrlz59GqVRv4B/hJbR8PSHAL1pFD0i7p/PlzyJc/H1YsX45gMhS0m1NI2rZrJ1q0b99+otW7dusqRMzp06YLU5U4lkewBoowZmJHv21b8dVXX4olIp+9VavWYMskCmyviHC0adsmSdaL/m4JBIsPYutEh8uF3DlzeXUB5pdu37kjdGRqhvLly+PWzVt49OihnMJF1sHhI0elapiHOtIkHT50RLQN20EzCW3UfvzuzZt3JHHMzrw0m1T1jPT4Yh6Qzhux5zjY6e7ChYvStY9HqVji48VsUJDYCJbJcF2w1J9m0Vjbd58Sgh+toN3kgtlFQfKDk2wHQJzXVGGhuH7tV2QNsSKlvwOIf4fo50/gFxCEZKnSITBlWhy6+ifyflwG7AIV9/otHj78Q6AKC6EViwlv7VYgliwHCwLIICWOlSJYggXy5fUWSHqTD26mChUqGGTOJYdB8ZwivwB/fPrJJ3j27Cn++vMvEZZq1apIRMheDaySKVuunFCX9IsbjcAmOWR0K6j9T58ihmcSpiobttA/o2WiL3zhwnm8JKySPJmcbb13z24x6cxc5MuXDydPnZYxFypUQEypbgiSygQkECyGn3SKqVJZzkWIn70ZuDgskCC3x/fyBk49v6VDvWPHTuGIkyFJn40HWJJMIHTimDhp7U3/pnr1b92l77rweZB9TesY8oh0bI+fOCGCVPKzz9TLGsrDqPnoCzLHxkCBZDnRWLtOSmEFNSDRcifs8AsIRNp0GZAxYyZpLnLv7l+Ij42BnyUGOTOlRKaUgQJBOBwmxNj9cfdpNF7Z/GFzmpE5T3ZYXA6Emf1htb7D73/dReA7O2JhhS3eglhbHFIE+2P6pBHCx9L9En3OaI6Y4+TxKVxwNm7jgjKyS5sundCKOD+sBqfPqqhpGpfM5zQL4yLzRNn9+9lyHCheooQ00HNrE6EmnxFOFoOh+vXqSpRIHjxPiGUHa/q5+hipOPbvPyja8OMSJVCocCF3TvhvBYsP5Y3oH9HHstocYgo/LFJY4Aa+7OjRo/DNt9UStIQ2LqjHoXPi4cPH4IlU+oFPnCzmr6hShw8fJn0s2QpRTOG61ciZ3dPc1luovAWLP0n516DBkqAmg9S3/IvnJfMwAvKeePh4SPIQXPrlT2zdeRxm+EtPCBvsSJspg0Rov/9xV/osUGM7bHah0ASYzYiNeQs440TbsP9WnIXaM1AWxM8cBEcQYLLE4oO8uZAleyYEpw7Dw9//QHR0HC5e/hUWCznvgSJYKUKSwWZ2wd/l0SzlylVQaHn+/ILtsQOz1Rovke3HJT4WU0iu26RJE6SnutvWJdje3vlTdqEhzkWNFREeLidwGGGc73/4SUwvA62DB/ZiwIAB0pOeKMCOHdtF++lCw3K1jp07SUk9q3Ra08fS2CF/K1j6Lnj5koJVAzYraSuN8EGRDwTUJCVk9KiRoll4M9Wkzftl9HdVks5Dhx6Lz0UKLyk4rEIZOnS4NMYYNmwo2Ije7WNpgpVQ+yk/ydhIg59hu6ABAwYKNZlphTrf1XZPNcfWt98AHDx4BBkypBXALyR5MC7/8ic27zwGk5PkGAfC0qRCzgL5pByLwsawn4tIxRjLc5ztLrpf8nxmIYhTMfSnhmFpl8NuRpYsoehcowICrlyBOXVKpKv8JVw2K86cvYj7T17h99/v4cHrZxg1tDdSBieHw8VSNEWz5jyWL19ByIy6YLVr30kgDLbjpnZo21aVgE2eMkkdmGXwbvQ18w31OREULHK5SDxhiT1bYhqv73/4EWvX8sQMChbncgAuXroiFVH0UUkM0C+a1PYdOQ7SnXpJj6yESKP6tC5oCUwhYX06hFShfAhtP0/34uBpazNm0Al0iWwZwz9xMQiMknBGn4A7gWqW6pcPz50nl5QXsZqZgyxWvJicIOZ7eWtDz2/pQyifyiwRVaYMGd2hPMf+2283pCMznfmPSxSXTjFXfv0Lm7YT6zLLhH5cqiSOHD8Jq5UQgep8x3+nb8eNYbeSuGcHEz6qq45ZDh2ncPibAxAaZEL/+p/iRd+RMB+5iLAW1WDKX1jygTEhyeEICkTy0JQIzZEVqeQkL96XKL8n30mTRGtAejFBUrJxWdjKpDExODnIwGQSKILdahLre2o0cfrfCSfo1GRCFYQJPJdJmvU+efxYAo3PS5aUdkiMAoOSJRP8UhhM2kUnXqqpzGbkzJFT+FjakVtuJeMWqMTgBt3J1bPpXCA6yKtWr5UJb968iUQKO3f8LJNPKIJA5KXLlwXZHjJ0kCQnyeUpVDg/2rVtJ7ZYYWSKDaEgAAUD7NixC/v2HoB/gElQ+m3bduDqL79IVfXgIYPw04/jZDezp2atWjXlSFw6w3Qu2T2FB1/6+QegUcP6KPV5SU2wWGViwrwF83Ht1+uSFxs0sL8ApBev/olNO4+o8gyTC0VLFMPBA8cRF28VomLy5CFiCjk+u9UiHDI+j2598uAQSdOQJcpohBBD4xplUWTVfATCgdCsufD8yX24fr0F04N7sDWsjxSF88DPyeJVEzI0awD7/9PeeYdZVS1tvroBwYyYUDCCeEG94xVMRAkKihdBkCjQJMmhQRBRycnQTQbJCJIlg6CggCQzCpLMenXuNWcy3TO/d+11zj67T0PrfPN888csHx/ghH32XqtWVa2qt946+ywdGoSYCkyJgxw57U8Z+9hxk0RuW6dObbvrzrtCwhAk8ENwobFjx0pALrnkUmmlcGsWXueUjCmENYhY1KSJk3Togp/Ud6rw2m706NH2yaefq5Rs4ADIVuLmmtjk+IkTNL9169S1Cy+8ONYPkb6KpUsntnmR5oqGG6JBr7Vr19mAgYNjpvDb777XDUKwRvevKZOn2KsbNylBTYl9o0ZNdfSHLgiUQdwnSMQ+8MbEiVTpEG7IrxjO6DFjFV/h4ehsWr8+uPifdPqkIWfDhqSHDluLFi2sTOnS1qfvo5qoAf0fT/CxmKz0Xj1t08Yt0pTysc44XXWFS1dtklCVvLaU7d3/sf3++xE7dOSwnXaaY0KmYoiENig3ahaPHj4UABBdAPTYMfd/av4T1q3VvXZuk+ZWqOot9tvR/HbmlRdZ9qYdVujwCSv87CjiD/b9vn32yxdfW+lunSyrAL8RLlBJxJSBIuBYj3B37dJZAuA2padJCuxyIG5prVrZ+zt3WYmSJez5ObPt9NNpzeKuSbiBBgL4UA8//LDCDZ07ddZ8jRkzRkR4YU0Hzurtt98VouPFNWu0JnFT+Ia1bddO8TT8tcuvuNLSu3dXaIQ45p+qhCbyzi1SQAmnJuqa8iQEa+b0WVbgNJcnmjlzpm3Zsk1HXgQNn+D7H77XSW3ECHgqEycvbOpmzJhpz82eI0dx1qyZNnXadLWVwwRQvt+8eUtFiCnq6NSxo2sFd/CgWtpiGmAn5ogJLv+ee2rFosFoAIBp27e9bhdccJHNnj1DdYU73//Elq/aYkeyjto/br3FVq54WVwGUABQmQwCAw1L6EHPz3bn9Hgc/PpxhVQ4nlM/aCeOWHq7+lagXQfL+tsVdqJQAbuw/E323aSFVrDw+XZu91Z2NPu4/bhkjV10+eV2aZ8ulnLO+TKDpI7CPorPepDx6NK1uzYx/hElW35w2IDhJzzgYtj1/i6lVFjgsGDR5QK4MesGvPmy4pdKwEhoDx8+3CpV8h1W3aFN19rleFYXLVoUC/XwHoHa9J6upTCl/7Q8efQRWBHBdmXoNBv2rxI0VtS3CTuG3Bw7AfXI6xQMkDvkNCfughOuKhoYKzuE9cifL1XvhwUr/FlOhrqWvgs7Xn4lczXJxvfzaRG9qua3uQ8+65iHTUFc7sv9joP8sGCkl1SKdcIVm+r9VLO33/vYVqzcYkdSTthVpa61des2mh0/GkCwC9qZZ8OInGLHjh9TPOfQH4cF92ShuRfSOvwuz4Hz37XFvVakR08rXOR8O16qmBWqWsl+Xb/dbP+HdqjaLVa07M324Sub7bom9a1AyRKW73RSOq7zqnfCw3E9/k7Unmdh3nhO/ZaYkN1chudTZf1ZHptl5QAAIABJREFUWfqce19LqqXkfuE4gx6AFoBsGD+ffDaaLnNr7ITMw2D83PMbR446Nmt1/CAGeMx9njVPYJmJ+li5CVb0dfrhLF681PKJpGygrVixwt58820766yzbeTIYTr1iWv8uuuU3AxPxLZt223ylKl6dAoxXbsyN3gIJzBhk5kI6vNoVT5Pifi48ZMUeW/TpqWi/UuWLNPkUtxJAed77+0WQG/48CFWsNBptnPnAVu6YqOlUlSbL7+9/8F+9asuWKCQcmRqSpmaKnw45jB/Sn7LokBCVc7HgxZwqXb40FHLSs2yOrXK2p07ttvBuS/YxX272ddrXrOiTerZdy+ttqvHZ9iJg8fsm13vW1b+QlbszmoOXJgPwUrUPGHhCs83vs2QIUP1jDRaoiNYyADkQPaG5/rAgQM2fORIKYGmTZvYPXfXSoh/hX8nLEDR8AHv7dmz1yDWZTRp0lBAv8wMYNQp6mpxww03nFxj+Qf04YSwp+/fo/yLzuxoHBiDp1L+tWGjBGv58hfsgQcaKWJc/vbbnI8VGqvXvCiSVK5L7Al+hvDwvxcOOfi/x2DPQUoE9CMVLyzSAJgGf/he5V88LE2GoEN0zcaL2uLF8xUo/eWXP2zTa69bgdMK2s+//iII0OFjHP+db4WfyGFAsOqsLBfJlimkUOOozAO7mZ1/7PgRK5SdZQ/Wucv+vWSR0je/ffofO/Oqy+z4wZ+swOUEklPs+JHDdvjocftHqxaWIo2VM0QTFSz/zMBmaNLE/T6T8YxVS1L+Fd34fpNiCmGr4dCFv5nWgvxe8lL5+BznLCVz/bbftPYdoGjPtp69euhk2LWLK7+jsuikPpa383w4mV/kX1uzZo3obzAvgwcNsqXLltlbb72r4zLwYjBSENvfcP11lp7ePeFaxIueneRw6W3atFY02f9eWJhym6xw6EEaa9xEdYBo1aq5jsrcFxHjZ5552p6fO8fefec9O6/I+dKkBQs6cF+MJ8tNc2A4PIY/IKcNYMA+7x0rlHSpyqDo3xVFCCeYxUkRE5EqLL3CCUEfH0rWVVQWBMRII1HgH8uNhzqFhbU3z0ql95AhFC2kWo/0nlauXNkcvlmyueK1Dz/80IYNo/A4yxo3ahwr8M3t87m9zrqQHUFj8femzRqrve8zTz+j+yKoC2YvaqZznAr5MiEF/qRsyEGTf1eU0HemIDbqK4kdpPWYdidHe9qaiW23QAE1qo4KaViAQIMC3GOxgdZSHpbbQEs4aLIpDyho8h8BzPnMM3W/OPYMD5l2msBJgxiE4WPID9T2jADyyzNSllZAHSEwM2wQCD7U5QKYM6zIka7EfI50UGp2PvmFaD80HNF9fBdBuYFMn32mHP1Dhx0EuPB55+qE6UyhEy2/oRXiEBT5N4Uf6KiFaQ7PV9RMMR++MwUggJ9/dnBi1sz3WPTzGf1uXgWM6+E3E/ZhnHHm6ap4wnfzfnL42jErFw03AD+pVauWHT2WpdMX8Y5+/R6TdOJTgS4NpkQ/1KdPH1u/fqNw5StXLbW69RoIwlKh/O02YcK4mEZy1dGJlbvjx0+wSZOnqFwfmEyYyzL64CRMieJjkpo3f1CJVbL2+EQDB/SX+SVuw30CtQXd4IlEmBz6FEIpBEwFiO4DTZoIeYC5+Pt111vX7ulakCdHDLcDH32kCu/UrGxBeD0ddXDud8iIQF3t3/+hNWzR3E4cPmrdOneyy6+8Uqex/AVS7emnnrT33n3P5s5fYCeOHrc339xh59D2JHQkDFsKzFfzFq10CoX7tMND7RLNlwsExnhKW7RIUycPcrpUOdWoXl2bjyqdOXPmJEzhqQQrbA7ZYdLMgTaloietlSsD7NOnl7Vp29aVsCUZuQoWpBxQNB4/lmUNGzW0664vbQMGOGjyoIH9XUqHH+UEli/V+j36mL3y6mY746wzbPmyJdaoURORhIDHgqo5XsIVBoW5mZ04cZJQofgQpF3AvOfmyH711df2QEOYa46JHL906WsEpwUeS0rnh+++t4mTJkpDkuu6+OJ40yGohypXqqwYGDCQrl07W/MWaUJEtExLs+vKlLb0nr0UpacRJggOQiGYsc2bNuVohBk2WTjJLdJa61qdO3US3WXv3n0kpFQvk3mArwI819atm3Wt3EIwCFabtg+JB4LAYzsWMPgx5wa48If34Nu2baeuZKSDYHOuWese18X+xhtFlc6IsKrGRCHZPWjug+B1OCcJYZvrJJal0npiXmFAol+zhNNhVGORECUKy7GX+ARdo1z3qhNWr25dZd3jE2tq/7Zv34cyT127dbGJEybJdJL+AbaakDX1Oy64APAcUAiYQGItZPi9eYifEJ1AghhFEME7EdeCCNbhl1Kt7n33qUER1+Mn4IPyzZT89eCDwmyULHmN1ahRXTgynrFipYpKd8wLoLbkNL/95lv1rmZR+valx6BLNSVbDGgEiL9xLVgJQcoiSAgWRHRffvkvFc4SVoGvQifP8NEuaCvH9elXOF0CnW3VqlUXU3RIQYXm3TnZUEARrSf19lD7hywzI1MVygh32zYO5uzv22lG/+/kz6K58t8JOfoQFj/33CzdFwBAYmDOGuTkjshVY4W1Gx+CdwqMNoPCCaLCdAElLlKmTJmA/sYD6uLf5rskazmqIpQXXnSR/BdYUPguuTDPLuOdcjDqv/z6i8BomDrSOxzzKYu67LJicmaJTaGNuBZURTwgjR9Z0Ny0XTKVHZ7w6DPndp1kggXdJWEBNDpN0Yn0xw8ZKfblv/5lQFhYBOjNk3etd2YHH5H8JzWK1AdAyQhNFAOqJg4oVEnhz2HuHPw6ziQdFn58ov0HPtRnoefGX4bmk1HqmmvUYSN8gABjh0Igo0L4gDWKaUknnrENAQImdq1S1yTV6DkqoeOT7Bxf9XEmRGApMoV07JowaYLMxrx5z7sqndDDuYodeffCQ+EXwVxz//33Kxnc77HH5eCC+swBdenVO5TSWaKGnJhm0g8+pXPoED4WVTplhKDE8YaB2V8rHLKI7tjcBCz6OtfwgcewkEU1De8hVC3THFkJ2QHSMK7o1C3GyJFPqic072/fBjrW1Q6G783TLxL5hkyNwK8nXktrmSbtR2UNp2oQpGzUzZteVVFD7DpBjXUYQYpZ9T2hr7zqyqCaOdXGjRurOY0LFnFF1xMaBbB27RqhG5zf5fSYz/HyLyij8FN5f/r0qScv/wpPrlOZ7hZXr1pj/R7rLwkeOnSwagHHjh8rzDtwYi9Y+nDwVJ7wGpQnwkHTofr168cECzMHbOb+evViwDU0D3Q7mzc7P4RYVJ06dVUyXqVyZZX6N6jfSIS4LVu2tOtvKG0PP9xH+bzBQwZa3brJ6bi5rTBvZviUFXZY/eZIppVi6j1Jegofq2kzOmYctq5duogvyi2EMzfDR4y0+fPmywzv2OHauXhhjf4mtI+t27STEHbr1k1kdM0fbK5oN40GIJjFzCIsCGlYsMI+D8+MkMD0g4mm8hmAJrRGzD2HKlC2YY0F/BhE6sWXXKQ2eB6PFS7v9/OFywFrMgKOLwertX8vhymM7lq/GDQHpyceXyA/R17t088+tdTU/Fau3D9kkpLtZK7HZNOOTbCZSy8RyT/5MHYyRQmYDT9Ikuz9YK+6QqDiKYLEN+EUiMnEFNBbGWV4+RXFFcqgksSy89nfSpdSQ4JkI5lZCwtXXrWY9E9EsLgO5uOdnTvlnF991VU5TrY0CPj6668UgiHTEOZECAsY1+dE9w5wa0tRk/PChc+xne++q1uEfI7kPuBIFhs/h2Btbqc9roVw8Rslr7lGVTqQCaMgMHXhjqrcG58lXFHw9EJW/rbbY1kQd31nvbgWgvntt9/b7t27tGFhS/QCHr6XBFPoJzl3XyWKUJA+iHRld1eJL17ycyk3sWvXbgkt8RBYfymVz20QGwIfzg6kXQeO/o4d2+W8Q9VNIjY3wUKDLlmyVNgqMO1/v+EGe3nDev2b5pyUmJP8xkQj0MTx8Od4Bgjj0M45Bcvh8ImPbXjlFcWz8AshoAPmS5wNKDeV4vF5zZJGZrMSZ4IbI5yzQ3BAihBHQ5BICL/6yisSHk6zxYs70hSv6V599VW17vPXWrlypfxavnfjjTcKmuwW/x8q1QuP6Cbhs1zr9DPPsHtr36sQkB/4iPwW3+HwRpZly2uvKVFfvXr1GDFuUsFKFCYqVlxYGXnNqZFIjEZzXskEKDecobtlYDOKF+XLZ0teWCzezNwGcSzSReTpiGMRBqE5eb58Bax//8fs/nqJ6aHwJuHZUNc0nIR5uEvnzta8eQtp1FatWwsPTmQbv5F+yTimnLj43pbXNovLIDzC20vhhhYtxQxNiODKKy63nr0eFofXiOHDFBMM30uHjp3t9dd3aCNQPhdnhjZ7//33rE2bh2Q2YYZhETFRCB8+FgUm4SGoyzvv2NVXX2Pz5z9vNWtSBPyT3XRTWTUwBQ2C2aSRA6jPZIrDK4BWrdva22+9pZrBtWtfDILVyiuoKIOqaz7bq1dPu/zyK6xLV9cglVL+CuUrxK6d66nQ/5AjV4wDYRMl3O3WqEkJ2+OEhciFzvDZZ6dIsJi4xS8s0ukut8FRHGpvWvc2a9bMSpchjvW4TPITT/Szern4WO6YnW2VK9+hoziVMJ06drC0tFY6VOCvIVg05kawBg8ZrB4+z82apR25aeMr8vmivlngHCp1AtMgYMEOHTpoc3AtBGvY0CHiGAsvaOcu3e2NN16X2Zwze5YVCqFmiWO1F4X2cV0L3imERyX2mc9Y1arVEpLQBHeBtFx1dUnhse6+p3ZQYn+jde/WRcKAxoLGqGXLRKrI0E3poJXWqo29/957qsdctWpVAsIBlwT/jDXnWghWtx49FI4BOnX7bbfn0OgJKZ1EQQkHNGMxOV0gnN5yalmv5pCJnL5Mogb7n//za5VxIViELsK7N3oxtAuhCwKzgNFIKhPIhImPEw/9CZMNL1g7d76nSUZIil9W3Pbu2at/4+eRPgFxybPg2/BbnGjBt9/4P/6ewy8KbzJCBJhN/BTCDRzruS9SN1wLMxs+NeNzEcSE0RCwIu/56xFDdKGLbLEcn3nmWbZv316FVIiuFy58XoJg8VmuRYqqdJkyYlhGQ8G2TPXzgf0HtCFoJRPuleOsU7AWLsSu3yVEgd8GLVH4GfkNNDOvFStW3IUuPv5Y36MCmzn1I1eNxUUeeeRRQW9rVKtqTRo3inXESgyfORM5Zco07RrwS0899WQCnSEReCp8sPugQJmcaVOnqwye6HnFiq65j8cd+aBoeCH83+nAMHDAYAHu7rqruj3QsIFLIgeJvKhf6B/QC1bXrt1EcUmKCg70vDjwoelPkNmOnTqJAAU+r6FDh8bjZwnRzMSN6TZktmWOGiNBJBbX/4nHY3FA3ke4n3r6GeHB6tWtJzbi4SNG6ITWuUtnnarDxRTwXaExixW/XFXmvXr3Upl8iRIlRUzMenBya9y4sdWq6Uyy3/709qYdDSfQsWNGyQH3c4hgp6f3UtCZ+cL8+XlkXqFYzxw1SmVpj/TuI4jUKQWLuFHt2pR/HbdGDR+wPn0eTlDl8QVzgkUJ1suqhD7HXnxxjetMEQxOMPffX1+7iDgWDqXLO9L9izhW3dAOjC+jF7awsEBY0bBhI9Eqtkx7UFgvNxIDhHolHFcLYlJUHFPcQaTdpZpODiFBLOLs5nG54tq33HabaCAx3cuXL0+uKeM6IbZgPE+nzrDN4GNdleBj8Z7iWG3bCmfPRrip7E0qbyeompmZadWrVU/QJJTfA0EuUbKUM4UwxPwM28w/rFv3bvIfOVQQbkgLSEK8YA0ZPFQ0nWjnLa9tUvTeD07x1avXUHD89ttutSlTJic8I45+565dpBCmTsmDj8XDcSKSkyw67gaiHExchMScHxoJ7ndOQ+T7gPe65TbRFMEmd+TwUbuv7n1qKTtk6DBFg+l0Rf+c3EZYOLgvTBOOLGw4zZo1Ub4vN8GKXhOTV6vm3SLaLV/hdiWH3UhsaBTVYviZiSBi961q1WsoN0jqZN68eTkeIdnZ2c9hj/ReCqNQYDt1CnDiOIIBpmMOAPhY1ARymuNPXIWRI0eKjjs8+Cwm/sqrrrYZ06eJRp31o8yOcvoOQYdV/KJmTR1rsh+0hFmy1HWmWLd2rZx2v5EdFTqUSK6L2+hRgPriY9OmTdazdy+5IePHj7fbbrnVrXkoHJOkmML5UG5yXBcsNA4qGPgwrzmWZCCvDgOOhDNwWLlRnSVSgTLnl8nwnKFEc0kIu+w+UFkH+WVwLQ+15Qax9fyu117EtnzQ0RFfeL0esAQLinxCAk1z8uhJVvcVNAugaSf/5hmI3LPzvK/j4NOujQlhioKnFcyZ2/MAg8DZ9JU9XIc4kYNMu/YoHGjcfLlnpBCY15gfoEXhoQ4XwTMT7+L/sNYO+2N8z8OWQXgwn2hRv8B8l8C05jJ/vhx+YtR18L/L57lPDi5x8JmTAYYrjUsR5bh7pgISsDwJlsuJu+uSRhg3brxYXYgqU9C6YP4CRYMhtV+8aIlgwnTZGjM203r36WM//OAaBbVpk2bp6Q/rpmrUuNPatQ2y4oFkL1ywQI2C6EwBGe3cuXN1fD77rLNs7Jgx1iM93X7/7TedjmAHdGbPLUUCQ3OK2dJly23+/Hmy+xPHT1AsJ+YzZGcHhRiHBO8FDkQjA2A0de+rEyTL/XVTxOaMiWNyZ86YkSS+5rQ2E0wSmDQVzwjv1KVFi9rTz2TEKlroVEokG79p9nOz1fd61+5dSu6PGD5UhbB+kCeE2ZgSM+6xQYP6bnt7LtJcSuuDO1ek/bdff7Vr//Y3kdPRyxrhw5+NdhgJCzTX7z9wgH2we49dcP4FNmnShCC+5qQAEw1LMnRNLVu0UF3hiBFPanOTQbnxZBykCVsneBheI1f4RH93g0OHDBKcd9yY8XZawQK2cOE8xaLosHr2OWer+1f9Bg8ovwf+qW/fR+RjsaOZJODI4dQDtEPAU3C0lix5QWkLyr/w11auXKHvqsNq5cqqBjnZmDJ1mo0bP15V1uteXBvyGVIkILRl49TDIQLn/cHmaSp/p8kjePLwGDdugs2YOVNai6ZRhc89J8eO9ELLaapFy1Z6RhpNEm4gNYWJGz5sqL27E9jMAgkeAd1+j/a1LVu3i8uCRgeQ7nrB4FSX1rqtNI+aLKn6OH6SjmoZf8/ebahU+Q6ZQjZ1jx7dxQboelH30nNGhSl8wGnRKk2lZGzIl9YRx0IzOaEGNkPoguQ4jjzpIXxA3wiT4G34XrTxw3Tc0R/m33TinDx1iuv62aGDAHVLXlgqh3Lo0CHiWKIejeM/Xetx5n/55TelDWCV69PnEZkGICVt2qCx4oPvAsnBdA0bNsQWLFik1ALH1yefHKHT6a8Crt1o6eneWc8pXuyrFStWCUYDNHlUZqYi837C2ehQHbL4BB0R8oEDh8hM1659tzRNeCxctFgshphmHFcI9TVZSRb5yy++sEFDhupg0KBBA7v0kqI2avQYmcHOnTragQ8/UlEv7MXTpk218ePH2Qd79kljQVkQJqylSnzwkGFyEaBCJ+ofHZ7agNfD+Cf+3e6hDgElUimd5slT8sz4uffWvjsiWC6E5CIPrm/R/n0f2vlFiigYy/p6QaYKevjwkdqgQKHg0AKazFw/8kgfZQlOKVjcOPkvfpDKFez3YXVHMDtD3SSyFWVmAL0ll0c3UczsOWef7W4mMFfx8iXnc7FQMPWKCyGAPfub12djxZlaRmkY19WiQEKjxhyTnW0KaXDC4XvnnH2WHTlyOCgXS9F3/e9EwxDyixKqg0xQYp6LByEmdPTIoRijMPWT4YMFG04dNMxBpnEZDh6kowa/S9eGAmrw7VoFB+VcgkvDCxGtL2Sh45wYXNvDrYm1eZ+L3ycsRJqKIb8wKBOL+2EgNFz5nPf9+Gw0hMJynVP4bIUj/GfPPutswav5N7+JzwVhCgNYsnKUwSKHQ0ThzZekgcCPdtddtYRzxk4TuKTZJRybQ4YOsu+/+97GjBkvHwIWvomTnrWXX95g555ztq3f8JIVgjI6AmTzgkAu69FHH9MN09GAEEQuH5VQVKtWQ5HkatWr2ZjRiSeTqHCBRMWUCpq8fr06mG3evEmnHWDPYbBebvfnhS8zc7RNmz5dWhqN/Vi/vsolEgBdunRpgpATk/LoBrp5YSbS03vKR8EH9ew8J09uxZ8mbO7wXWlMhVbj9FW9Ro0YIoEUV92694v1Jlx/6YXXC7+H//hfCG9kPsP7YOPYMLADXnrJJfbSupcV5Sd3WalSRXW2aJlGBiCfiPjatG2johGHNk3+ZDlOheDV7777Xp30GjVupJav/fsPVMR78OABIkabOGGyBGvRonlqXbZhvQs3rHtptRUs6PvB5DRZmBfhsTxs5v6cqt5/C8FCwPEZKlepYqNP4WNRhoTPRsD0xbVrbcSIkfLXLr7oIlu69AVF16PmLHqHftIhnMXHYtIRzicef0wCRqsPqoTRgH54HwvNQn7P5wrZ6SNHDleuMFm+NefsuFfCgkX74ebNm4sBB1RvtWpVYwsJMvW+evc7Lglz9ZhUqxHc9NfxQhXV0mGzxffYDKzfnn0fiFxl9apVduedNVW7AGtyi5Yt1R0MoSV+2FrQZDfyJFj8CBM0atQYnQDo6sQuhVuUOAHkEqjgDRte1TGzfft2tnnza7Znzz5pBBxGj2pMNnGQh1BUitMHyQenvdw0FrswM3OU8nulSl1rTZsk+kHh63PfCBEZeEaPnun24pp1SkPgeHfu3CkBYnIqjYXGg0mP63IAWbZ0iRLT5513nhx0j3bgfTL/U4AmHzsmshKcX5x1fJQG9esnLebMTaiigsWJ0+VS81ujxo1FvuELMRCsOvfVDeikUkWxxP/e7wpj0MKCxW+EwytsYGJqoEv+/Z+vdXBK756ugCzkusCVKlQsb7Nm0fIuxWrWvNMqVawYPEI88xF9pqRxrAQnNUhGB/vJy2lsV4TLuqMBx5NNoJ/E8G/t3bdfu4S4C0LtISU+FRmEv3RZIB7Aafk+Dx/NhSU62vq1pLsL4UDlQ1PJql1bqpSYB2MgODPbu2eP/fTzL4rTwVkVhrqEd22ywGg0VPDBnj32808/q8MDgcw3oTE6cUIMO3CJAiVCKK66Chqjc9XfhpQOQoVbQKCY3ylerLg1eOABWRaPi2raxAdBE0soYn5V4K3zewMHDpQfiUUjl4hrcvCPPxTgvoXutmL0c2EdHz/0a8Ya8Rxc7obrb9CGi27WXE6FuWXJTiUq/2fvQzyxadNG1fLRMDxschJQ/mL0WxfAZqjSAY1a9y/9OAu/fsMG69Gjp+UrUMBGDBtqte+Jn6B4HxO3fccbOg3Rk9HfV26aL3ojXEP/W4qYi0npoCVoIFC9xl0BL/7Vgmu3bgOc+LB16drZypYtZy1btJIVoC8gOK/5CxbqpLd48SJrldZKTjuCVfuee3SSzss4cvSIOSZB6jBTxaiMKeT0V/RiYDNrQq3iYkYvpkxI6XTs7Jhrpk+bKtiM30B+TnINN+TlBv+rP9O1Ww/bvHmjnXvOORKckwkW8bVeD/cWlmvwwAFWv/79f/p2vD9DuX6Xrt3EJvPUkyPsntr3xCAcfAbzt3XbDucWLH3hLwkWN4f7QxkVgoVfs2jhAsXXqBy/rkwZbZCWLVvb4SOHLL1nd7u53M1qBoq/NmH8OAWrafiJm7B0yRJRdUNCjEq5B8EaOTxPc4BgVaxUxQ5CemJmV1xxmXxQYDv4kRvWv3RSwYKBqH3HjtJks5+bFTKNcZ/r/ynBovjym2/+o+MtmOwwjDessXggTAIYbcIYxFFQ539lIDg0Mnjzrbe1AwkuFit2aQIenNze9z/8qBBJlcqVkjZ+PNVvO41l6qMD+zFoWcCHGzZs0AkY34bYH5TbJ7KzxE5MFBwiFcISN99czkB4fP7F51pQaiEJIHvz+6cE6wiCVdkOHToSM4WAAQkxAMGpXrWKwkze/XFayDkHPAclb9QzYgvh6AhDlpJqLJKuy5etiKEn9aFE8FVs/uLHVveDZNG5Gf+6b5LpyrADxIHof9wgNgXHgutsn3Og3jmBEZuiowUQ2LwO7uGVja/av778WjTUpG1c3s7FdE42wk6AN2GofppEURH9z3trJ0CDyAy8+OKLEg6QmwiIYLypqXZHlcrCZDH88T8aZE1uTp3pBMK8evWL8umohfzXV1+pPIy5IQzQoH4Dxf54H2QDp1A/QMAuWLhIv0s8i2pxX/RADrF8eYf2IIRQvPilAhZC7U1qrkH9eqF5AgDwb1u79iUFROGPILa3fgOQabNatWrGGpiGnyVBY7Hsc+fMtcxRYxOChuFYiAvAkYh2JxB/MR8RjgtW0CU+FOtwR2GXZ8MRnjVrhrqLJRtcv0YNF8eqckfVGNQlL8KF38HJcDPkthdeqG5gPtzgFzkv1/GChflihwIKBEIdNtGcPIlsA3umsgbEQ/fuPcReA4oCKvA/95vSC/ofeigg1GQm6CZByIMeNqSH8LGo4EGwWIe7765lTz1Jv0M3YEcktuefYdzY0So25d/EKCtUrCQfC8GC7U98p7t3q8hi/cvrEhLglNhTloZgEW4g7tWhI7AZmrxPs4pBSieJYDk9kpWdYnOfR7DG6MKejCu84/zfvSDFI73xpfIP41/JeQQOBGvmjKB/TM5l5reJAdHmrsodVSwz45m8yELwHI4qcutr21ThExWGP+N085xdu3Wz119/UyZy/ry5TrACZY5gtWyVZkcOHVVYg+KJnkG5/sgRw61mTccjmvffjAsWqTIg1JzUeH7Kv0iDocXnzZ0rWLXr42x2b+17bOTIuPM+esw4VXujzdjQY0ZnaKNiPeRjVawS9Cs0FQMD9EOwQOeuWbUyQSsjWA+1ay+wACEl3I4uXeE+M0Eu9U93AAAYlUlEQVR/TkJjFBKsuXMtI2N0TGO5Roe+eDFoDUKSImCSE4teQO+j3UNuR+x6DhoSrqAl2AkClIHGem5W7oKFcJJV5/M0tuQUldfBdz/59BP75edftUGonvGph1OawjjnRsysE8P6jQZGBU7TsV/k+sHNwJizf/8+laWR/wNm88mnnyoIjIPuaQPyLlj+ypSWAVU+IF+G5ydvSmiEuSVeBv5K8JYkggXBHShRNBJuyfBhQ5SAdxrrqFWoWMU1EM/KkmBlZmbYoYMHtdb4euH7JXb50YcfC0YEZJo4HhBrzD0dyZCRqKkPTGE8AjPn+ectM3OsbhaVO2XKJEFi/+qIHUMtRScJ4jIsLj7Pc7NmJmisUaPHGkWbnmuLXjnkLUGeUgntB3NJ5cj4CRO1I9u0bmW//PKzLX5hqYSc4N75AQ+E08TuNIYQEJRt2LCBYCDkF2vfU0sVM6NGjRbpWscO7eXLUFBAPo8We5OefVaxrAuKXKjEO6aOXOSllxazDh3a2+AhXIui3Ptd2CNw1Pnt52bPVrcJNuDkZyfpenv27pNZHThwQDwFFiyBL/blu6SLBg2G0Q8T1FMxrldffUWb7YnHH1fQ1HVjzVYy/Wm1/nWDtQtbHObbx98QLJ0KD9Jt44Sen3mBsgCMPkJGiIVcLTxn8FeEB4csINQEyfs+0icWBA5r5gTBYsHmPD/XRo0aKwkk+08J9c3lyiZcOLr7vF/lPxR1UP3r9Cym+wHvI/VRwWLBNm2m3KqwrVq50urWqyfYDD16oihG2Jwf7t3HCuQvYP0HPG7ff/edjZ8wSTvy5ZdfsqIXX+R2UXCwANqBCcGBJafXtNmD2qEQwEH37fyi0wzzBa89EW/41rdsec369eunti/FLy0udmdOrAglvga482YPNpfQshgIps/C8/tDRwyzBfOoXj5ub7y+Q2gPWrUATYYREW772HwFVE9+vt5USqelTsljxtCkabstXLhIGoeDDezRDPgs2CAQ38U3n5NUr0n4u9/kcR/rD21yzDeIEjY1sbp169ZatarVRMRSuVIFEeeG15bccIeOHaXdpk2dojmNrn1SwcrMHBMTLJwzBCuvqjyZZvPpBfBBb7+z06EnTztNXUHDzjtcWx6PtWTJEhUEKFdYubI99dRTCZemeBX8PDux76N97ccfoDGarPtctWqFcoThSUYYqILhWsSliAEhDCr/KlPGlX8VLCQOMPr6wSEPnRAFo0/0f0JgxmKXFBdfBfV74NJZkCFDh8Qahnfs2MEeCii0/aI+9fTTAY3RcT1b30f76VoIFk0uEwQrkiukSIXWcJgz13l+u5LgmLDnn5+jeka0EkgKNNYzpxAsf3Dyp0K1dzlxQidXfKy9e/fYRRddbMuWLVPTU4eru80mTBifkMMUdwMbMV8+gQLB3uUqWD6qQACOUyHj6NHDoskuJ1JVV7QApQ0sfBqhHRbedR7SesEFRbQD/KCAcud77+ta+D5oLJou5mWg7h282EE5wjzkfJ8JFiQ420RkK28wuOdTbQoxDAP9oUd0EJYQK3AKvmBBmRVtDkFxQW/EsUz4OII5ZwNFzh8zN9Hf9lqda4kpOthcaD5MJ5qDzRYd/t6j6SKaVP2zzn2Bz5qiZDFEInFEsQucxkJAQQc07pecItxafj7x39Ce+IXcF40IwvcftUjMBfPFhBA2Cvut/n5z+lhznrcMaSzs9FGbOXO63VyunBaUxYNFDnohr1aJkfALLLbHYHu1S8UyzTDDggU3gaeDnj17Vq7hhugE//vf/5G5YjLq1q1raWmJrWnpvQfHFfcyefKkhJbCJxMsnoNI+IiRI1VVDaAQSAqnLwa8UGPGON/vogvPt1GjRiXUP3762WfiXcXMNm3WxBo2oCwtOc8Drw8ePNjee3+3yuUxXW3btZUvc+UVV9qY0WOC7+bcalHBIgld+95/BpgzTn7AZxxlthP8VM0VGp118VbDCwxCzLPjv9HlAx5RDim0YsYXBL0SfQ6/riBKhw4bLjDBoEED5J+dVGPxo3PmPC+NBZsdN4pglStbLsbnjtbZu3d/7JjrBEy3ENvJPhQB2jDcSJPvIlh8B01AOgBykLwMeKZgrjl29KjMF+wz4TF16lT1VybF89JLa5Xzij5sst9xPtnLghPjY1EWTzHmtGnTdZ90EHv00UclfMUupctFPKXD9fYf2G/NmrXQAnfs+JB1EPNdcrQp13uofXuxEHtoMgRrvx/83UqVLGVLl7wQm8dTzQnCf1/d+3VowFR64fHZCoH/6FCmcIPj0uc9V7zigtqst094Q9gC+oR5Y/7CWY+oz7x+/SvWqXNngQVAxZ403OCj47MRLGksV5kxc+Y0CRaTwk20bt1W0Fofq4qp6hjQX3Kt9+EX79M7XpdIx09iM955R7BcH+RTDxo3PtG/v/DgRHspNggP2JyB5KDq4Xkvcl7hPAkWzwTtNSdM0J7t2rbRqZA+izwDvKYILQnaCy8oYoMGDUrQWF98+aUNHTZM2h3gYp17/+l+N+Dx9Lvc/5mRmWkffLBP7DgkndN79pRrcVnx4jZk8OBcYUTuonG9hWDRtR6TRI6T4QXJC4zTSK4Rg9NkcVoEr8H4DEgKOolAioev9dRTaO840XBUsEilAb/GV2Z9OfxEN3HMFHrB8hrLdcg6osiqPxUiaGidD/ZAReQehJEsNsQNP9isidps+N2BUL4TUOuQd4s675gT/8BoNPwPrsP1+bfThE4z8nf5J0G5kutz43wd0jjRyXCwZde1AvMARJoP+6bk0DNxXX6HoKMrb8pWxzLec2Ym1XWsOHxYS0yz8YJ0cvUt9oLyr+g2Cfso3AflYDwTGDZgzH4Ok9FIhq/lr8OfxJZmzJylNaC3IjByP8/hze6EjBYubr5YZz0jrVuCMr5Lil6s/t+u84jJPHKw4e/cp+9W66/P98R2nZIiuHoyITxpuAEbjcaKCtYuuqIGCD2/8LGHTk2xrOM0iUyVYFEh4j8r1rid8XBDNKVDtczGTZvE7rJ61WoxNNOX584aNYSgjGooR0hb0AYNGiherXHjxmiRye1F8VnQEzFZlavcodRLo0au4VObdq3t79fdYJ07d1GSmXzbgQMf2bQZ0wR23L5tmz36SL8YgnTZsiVWsUplFeGWuLqErVrpKqFP5cfxGTYDTjM+ChytCxcuEDiQ5C/l9JzGTnatsGBBI9+ieZqKT6B+xPlGAHIbGzdttnbtHAr02WcnGUWnCxcuVnOErVteU1wt7jeTi6wcNI2/zaZPn5YAi6FXZIeOnbQRZ86YLoqlmNMeyEVS5x0fiw9ypHbOu4tjeY21+4M9sQnwNyNFLZrqFLeDs7Ot+YNNEzQWJd80tPYnoFkzZyT4WNBYwx8FNmj16lV2X9169hPlX1WqiF8gPEj8ApsBXUm1Cy13abMmzPvLLyeUjHNf+AEIVvkKFVXu9WAQe2rVJk103FAfIqQwHX8IjdEMfKws+Vj9+j4mHwthBeZc6Y4q0mIlri5pK1ecXBj8PXvXAYaYHTvesBII1oJ5dkfVanb40EFF1gklnOoEGzNhZopxUWKPYKmULEm/Ry+Mmza/Jv+Ovo2EDyAVpqqJNX1t88aEjYg2A/P+w48/WcUK5W3y5Hgci+eB0Q/BgvgEoTtJ+Vfcdsd9LAKkx2zG9Kl2yy3xUyGmEMHyNxw9ltKBAcHCTHhT6IUPwXpHcSzUayFDsMI+Ftl4UgWYG47O48dPVHQYRpPGjRomCBZ5rReWLBHpW50696qwFU2FWkZwogT6I0aMkONfstS1Vr1atYDpmGRseSt2yaUKPCKkwK+hBiBmRBQc3oMVy1aogSepJeh8MkZl2LGjx61IkfOtW1eO+C7hHv7T36x/3W88inI/+vhToVThK83IyNAGvrho0SC4Gqb9SK5/JKRmNmvWc0bYgeakdAsjEp7b2HdgvwqCMedNGjfRCZBelFilvo/0Tpgv/NRnMjLsj98PWsmSV1vzBxO7s4LznztvgTQWHcp8ui28KXL1sZyGOiof65abnWAhyWlpreXIhr3MsDlUYTp9aFLziS+AhYkJVsgUJhOsBH8idnZJPlVgqBAuJqp0mdJiGQ5rB8ID3//wgwT4tltvjZWGsyAc799+621BguFQ9dAdLwQESHFkGWhL8pphPwmWFjbdmWedaeVvvz32fHwerJK7L0fJSIAXR5vvY/aYO8g2zjj9DLvltltt62tbdKJES9OA3TXSOHVND89BagV6R/xAvhuFTIdnjkJj5oRBigwN//VXX2tNyWxAu8l9salvL1/Btm7ZqvU/v8j5qusMCw24MPjruUsqy0kDMRLiWa5g1Vd2mMINLo7lUjr4QZjCsGDt2eu4pbxAxcyg+sjgWWfLx8opWK3s3Z3vx8MNfyKOlSB02dm2du1apUfgsBo0cIB6TvvBvUGEsfm1LdIMK5bHYTM87ceffGxNmz7oGP1atbKe6fFKaJ6bE48PN2zbuiUHo9/Nt9ymKD5+kjeF/rcpTiWvR97xyZEjRdoxb/48CQ9MfvSx3rHdMfpBCUC4gWuVKnWNqsHzOlgxDkNE8a8pWVLXomg4t4GP1bFjJy0+RbNbt25TWojfhiiXhldUBYGSXbV6tdWo7iBLyU3hRoUbWGMY/U6JbmCveFPoNRY+VqLGaqVTofcZfMGnPyEamX+QDZaSQ7DoAoGPxeIlOxXmeVKzswWuA57CAuJjeZ4DruGgLt1t48ZNisusXLlcdXM6Vaak2kcffmgNA+cdc0TZeBjQmJExSu3v8LHefPMNVfqETd1NZW+Wv0Yq5MU1qxI0FvfVrXt3y5//NMt45mlxSZHNQLDotU2blh3btwv5QOfXChUqydzjEiynGio49Z5qLhCsBx9sIeaaa6+5xhYtXnRSwYLblGpwNPzEiRPkO8LAzOn4jde3id6SgwB+JD4qzDY/Bj4W+eLwII5FrhCFRPbEAwiTaqxYHGv2HMsYNVrcUCeOH7PnZrqUDoPJAR8Es54CcurCmqKKDmX0fV4oOBlQNUL5lHs9RXxNxEDCcazcAqSJh4JERkHuBSZAHFcmCnKwRBLZbHv77Xfsm2+/FXogga04JcV++/U3FSYcP3FcJzt3D3F6JnwIzCH3QMzMN4b0k7t23TohZhHWcM9FngvI9FtvvyWzBE/VTz/+5ODEWVzrLp2Kv/v2O7E+O2jyKzqZ0UmDkxgj7Jfp7zIJ7td9uRz/RPNhviBRgcQuXCntrYi/FjTqxOt4TLD01Id+/vkXesY776wu1AkncEw0JnvDKxsUfL3owgvs1lsdTZG/N7IgPCP3BM0RViH8vj4X5W6glS4QkuP4SseOx3KF/ovU0bnyc/+0Lq7kZMofAtzkMPGUBvkbItxA5N0772jD3BCkaEDq89hR9CC+7dabjcQ0rxOQ42E8ky/U1DAp+8FkgSX/4st/CYIDlIXdSfwFGC5sxeH7x5+C+Rg+UzDt+Fx+QbgW5u2rr76SgwufAmw0xM3wi0huk/TG5ypXrpxQAlyLRqFV76hq//n3N8JUEQeD9QUuMfoCnXdeEbvvvn/avHkLBMEBkIhJoaiXuNPNN5cV6G4l8B1LsbvurGlXXXlFQgCV5uzffvuNFS5S2Or8s47Nn7dA5p3qb8rnYLnBj8T/AjGC+0CUvkaNatKYUSFOKtQhaHoOgQ/D1iMhl6SCRaEogx2tcEPZcrFF+zN/iQbqMIU7Ax/Lm0J4OJMNV2JfzcFmqlZX32dKyjEb+EXXX1/GevZ8WIWh5N/CVTpoU2JVmzbjY11gq1au0PGZ5gM4qvgY4YHqx3Qy6cCJ7723dkJMBzw4p0S6xS9btlyV2UBuWBywS02bNtN90Z+R1zCFBQoU1LXeeec9mzd3ngTrrbdfV9ODbVudj0WDzsqVq9nvf/wqACFVOoRBBK1O72plbypnTRo3VmSdTmkIRHhgCjFfJUpdbQvnL7SqVe/UYQGHGghxixatlUPs06e3KrQ50ZIjpEEpcxse0bUKn/qlMiJClGzNkpwK4x9DY8UE6/gxhQSQ/vCFo1HtvAobsJm85grj0OSfdDKDD8EHNeGUgLe8b99+ipw//vhjChP4gWABg8F5hwJx8aIFdvfd9wjjjfkB2xQemKMePXupzQdxrLtrxZmOqZjp2qW7gIVc64XFC1ULCFEKx2w+37JlKzt06KDY+GiNR3wNs0TeEROzcGHQTWL7VnFXbNv+urTPvHlz7K67auqUisYlJwlMhmfv0rWTimPBtRMpB7wYZU3GeX/3nXet5LUlxL0FnAfA401ly1q3Ll2s3UMPSbNymKCzmqiHUmkQnqkN9mdHWGP570ZfiwVKw92/eBE46zMZmfIRUO+ZGRn2978HuSDZPMlv/J6ilTxOwSbktXyFdO8+vW3XLhe1Z+LhzQz7WGHh5e8Qt2L6MDkXX1xUsST8uvPPL6JgIBTdaBnybkUCk8uvI1i898uvvwkCgmlT86MTJ2TOnD8WfwbSI59/8aVOOcWKF1MHDTfcc+CL0HQTaHIJrrV/vzYaAVUqiEBecm0cX0IThBc4JBACoef0DwGcGNwXviEwZzguSlx9lWgA+C4anJq+zz77XM+IOTv9jNPt048/kTAAKmQewpua5ll//PG7FSxUSEltnhGhJKXFfH322ad6iqJFLxFk+osvnE8Fh1c4zheNSUYFLuzvnkwYT6qxEKyMzFFyijkVsYtduXUIDK6rO2fdZ89jsaygEse/5xcav4HreUpCdmFUsJ6dPMU+2L1bE0OyN9wRgjgMreHId1EKBbEs7dwICmIuKlTwYDOXsZ88eart2r1bQkh72ccfe0y9DllcGjqJnfjYUatRvZp8OBLNCCmcXsSiXnppnQQLgKFyj5EZzW2yCQDrWvlS1VAdv8u5326+QLnu23dAgvPII72t4GmUpTmfFEEBAIALQjqrdu2ari+kT5NEiC44vX72+WdW9JKLrffDD0t4oibL32d4/4cFgPvisAxTD0FTMPpApj26gXsDwQF0iHvh9I1/O3ky/bepEu8iM84182QKoXUFbwN3sA8tSO3x/wmXRPU3HZZ4/ANXFuY0h6N3dJOj7wTxL4RmzuznEjQWldDksDjeA4+lZMt/F9gMPhaCRZcFj/pkAkB91r/fm0J3X127urwjQMPly5daterV7RCdKQJGvyZNmylkAF6egld8LE5/VLpwKpwxY7qU2rZtW2PNK5O5A+E54BnXrXvJlevnp/xrRFD+Fe8ViJ+zbfsb0jCkdBzLtJuj99/fZS1btrHDR/DX0q1De9dhNTzCi4cJ5qRXslQJmz9vnhUqSBzLEXXE18R9O7oR4jKK0KfKnHMtijQ2bHg5LlicPne8LvAB1wDNcMWVV8nsg25QiX0yRr+s7KzslOwUxEf9sZ+f/bw9neF8EFfaGddMSAtqOiuoKfQ3rM8GgoZPItSiNJTrG+ybJsq4EMHPOiHuTeC14VNh9x7pEixOki+uWZ3AaQWwDRpKTj1gvakExpfBGaUYs16s5YnTWPhk4Oepk4Mt5s67asrh5gQJNp3uFjBDcxCgYABhwF+jQbdansyYQRvZWJs7v7huYeOCEl10TpDix8pfQPCTWpHOFHA3gHkvWaKknt8HNbkuwVT8UE6JlJy1b/+QM8a5dPYAXk1csOQ1JWwu7VPo1RwYlvCfgWhFELVxV4DP6sT+zjvyI13LE4iM3SBP2u4h1+WiV8+eit917kJdYT7XmaI81iLF8vlq6ZQsS5FgZZll6QlS7JUN623hkqUwLoXcKReHirtYbmK90DgUqeNmiqlE3LHQv11wMm4S0A6P9u1rV1we758TRqCGi2G9AMc1p9OI/t/Rz3qgod+1vO9fk3BH8np+U4QXMPzduDnJPdXiP+/vyf9OsoNOWMNH34/+7snK1U42XzlU3UleCN9zsmdNfCY9mZt7FIpwZ9mWlZLPUgPQJ7KUkqXCtKBzjhiYsyw7NV9iaX0SdRy15eEdHX0v0abHVbOffP9dnNhk+GkntKAgE/v3hAXhVAsYfoTwwkZfT3avXrBPtsi5zUey9UymgaImNVFDJpeKvMxzXgTMz230s8lOgQnzJRGDBhNrl1+qSCzpCFs2kpWSbSd4Cf5xO24p2QUEqv+vHqeaiGQ+jL+H6Hdz+gzx+81tosLXigpiMqGNCn5uQhfWqFGByM2M+e+EFy/Z9fPym7k593ldv7glSL7mUaFPfKYTlsV/KadZPlwfKal8lnIsOys7NfuYpWbnt2xVMbs0zX/HONkiRBfCT+apvuO/FxaSqMk71eL+1bnIy73ldu28fDcvn/kr934yjRpeB/3dlWrJjTI7blkQtVkBS8k6cSI7K9WcfcxGsFyvwv8rwhUKf/03ye5fmef//51cZsBXbXP4w9rJT8fv+t8n//8F+ml9OLE2c80AAAAASUVORK5CYII=",L=e(53114),S="data:image/png;base64,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",m="data:image/png;base64,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",z="data:image/png;base64,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",y="data:image/png;base64,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",C="data:image/png;base64,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",q="data:image/png;base64,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",b="data:image/png;base64,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",x="data:image/png;base64,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",he="data:image/png;base64,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",ae="data:image/png;base64,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",ve="data:image/png;base64,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",ie="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b0dEy7V/F09vMBST6Y2wwj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go.PathSegment(go.PathSegment.Line,te-le,0)).add(new go.PathSegment(go.PathSegment.Bezier,te,le,te-oe,0,te,oe)).add(new go.PathSegment(go.PathSegment.Line,te,ne-le)).add(new go.PathSegment(go.PathSegment.Bezier,te-le,ne,te,ne-oe,te-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,le,ne)).add(new go.PathSegment(go.PathSegment.Bezier,0,ne-le,oe,ne,0,ne-oe)).add(new go.PathSegment(go.PathSegment.Line,0,le)).add(new go.PathSegment(go.PathSegment.Bezier,le,0,0,oe,oe,0).close()));return oe>1&&(de.spot1=new go.Spot(0,0,oe,oe),de.spot2=new go.Spot(1,1,-oe,-oe)),de}),go.Shape.defineFigureGenerator("Border","RoundedRectangle"),go.Shape.defineFigureGenerator("TriangleRight",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close())).setSpots(0,.25,.5,.75)}),go.Shape.defineFigureGenerator("TriangleDown",function(ce,te,ne){return new go.Geometry().add(new 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go.PathSegment(go.PathSegment.Line,te,.5*ne).close())).setSpots(.25,.25,.75,.75)}),go.Shape.defineFigureGenerator("LineH",function(ce,te,ne){var le=new go.Geometry(go.Geometry.Line);return le.startX=0,le.startY=ne/2,le.endX=te,le.endY=ne/2,le}),go.Shape.defineFigureGenerator("LineV",function(ce,te,ne){var le=new go.Geometry(go.Geometry.Line);return le.startX=te/2,le.startY=0,le.endX=te/2,le.endY=ne,le}),go.Shape.defineFigureGenerator("BarH","Rectangle"),go.Shape.defineFigureGenerator("BarV","Rectangle"),go.Shape.defineFigureGenerator("MinusLine","LineH"),go.Shape.defineFigureGenerator("PlusLine",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,ne/2,!1).add(new go.PathSegment(go.PathSegment.Line,te,ne/2)).add(new go.PathSegment(go.PathSegment.Move,te/2,0)).add(new go.PathSegment(go.PathSegment.Line,te/2,ne)))}),go.Shape.defineFigureGenerator("XLine",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,ne,!1).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Move,0,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)))}),go.Shape.defineFigureGenerator("LineRight",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(.25*te,0,!1).add(new go.PathSegment(go.PathSegment.Line,.75*te,.5*ne)).add(new go.PathSegment(go.PathSegment.Line,.25*te,ne)))}),go.Shape.defineFigureGenerator("LineDown",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,.25*ne,!1).add(new go.PathSegment(go.PathSegment.Line,.5*te,.75*ne)).add(new go.PathSegment(go.PathSegment.Line,te,.25*ne)))}),go.Shape.defineFigureGenerator("LineLeft",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(.75*te,0,!1).add(new go.PathSegment(go.PathSegment.Line,.25*te,.5*ne)).add(new go.PathSegment(go.PathSegment.Line,.75*te,ne)))}),go.Shape.defineFigureGenerator("LineUp",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,.75*ne,!1).add(new go.PathSegment(go.PathSegment.Line,.5*te,.25*ne)).add(new go.PathSegment(go.PathSegment.Line,te,.75*ne)))}),go.Shape.defineFigureGenerator("AsteriskLine",function(ce,te,ne){var le=.2/Math.SQRT2;return new go.Geometry().add(new go.PathFigure(le*te,(1-le)*ne,!1).add(new go.PathSegment(go.PathSegment.Line,(1-le)*te,le*ne)).add(new go.PathSegment(go.PathSegment.Move,le*te,le*ne)).add(new go.PathSegment(go.PathSegment.Line,(1-le)*te,(1-le)*ne)).add(new go.PathSegment(go.PathSegment.Move,0,ne/2)).add(new go.PathSegment(go.PathSegment.Line,te,ne/2)).add(new go.PathSegment(go.PathSegment.Move,te/2,0)).add(new go.PathSegment(go.PathSegment.Line,te/2,ne)))}),go.Shape.defineFigureGenerator("CircleLine",function(ce,te,ne){var le=te/2,oe=new go.Geometry().add(new go.PathFigure(te,te/2,!1).add(new go.PathSegment(go.PathSegment.Arc,0,360,le,le,le,le).close()));return oe.spot1=ke,oe.spot2=Pe,oe.defaultStretch=go.GraphObject.Uniform,oe}),go.Shape.defineFigureGenerator("Line1",function(ce,te,ne){var le=new go.Geometry(go.Geometry.Line);return le.startX=0,le.startY=0,le.endX=te,le.endY=ne,le}),go.Shape.defineFigureGenerator("Line2",function(ce,te,ne){var le=new go.Geometry(go.Geometry.Line);return le.startX=te,le.startY=0,le.endX=0,le.endY=ne,le}),go.Shape.defineFigureGenerator("Curve1",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,te,ne,ge*te,0,te,(1-ge)*ne)))}),go.Shape.defineFigureGenerator("Curve2",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,te,ne,0,ge*ne,(1-ge)*te,ne)))}),go.Shape.defineFigureGenerator("Curve3",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(te,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,0,ne,te,ge*ne,ge*te,ne)))}),go.Shape.defineFigureGenerator("Curve4",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(te,0,!1).add(new 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go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne).close())).setSpots(.5,0,1,.5)}),go.Shape.defineFigureGenerator("RightTriangle","TriangleDownLeft"),go.Shape.setFigureParameter("Parallelogram1",0,new Pt("Indent",.1,-.99,.99)),go.Shape.defineFigureGenerator("Parallelogram1",function(ce,te,ne){var le=ce?ce.parameter1:NaN;isNaN(le)?le=.1:le<-1?le=-1:le>1&&(le=1);var oe=Math.abs(le)*te;if(le===0){var de=new go.Geometry(go.Geometry.Rectangle);return de.startX=0,de.startY=0,de.endX=te,de.endY=ne,de}else{var de=new go.Geometry;return le>0?de.add(new go.PathFigure(oe,0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close())):de.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,te-oe,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,oe,ne).close())),oete&&(le=te);var oe=Math.abs(le);if(le===0){var de=new go.Geometry(go.Geometry.Rectangle);return de.startX=0,de.startY=0,de.endX=te,de.endY=ne,de}else{var de=new go.Geometry;return le>0?de.add(new go.PathFigure(oe,0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close())):de.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,te-oe,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,oe,ne).close())),oe.5&&(le=.5);var oe=Math.abs(le)*te;if(le===0){var de=new go.Geometry(go.Geometry.Rectangle);return de.startX=0,de.startY=0,de.endX=te,de.endY=ne,de}else{var de=new go.Geometry;return le>0?de.add(new go.PathFigure(oe,0).add(new go.PathSegment(go.PathSegment.Line,te-oe,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close())):de.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,oe,ne).close())),oete&&(le=te/2);var oe=Math.abs(le);if(le===0){var de=new go.Geometry(go.Geometry.Rectangle);return de.startX=0,de.startY=0,de.endX=te,de.endY=ne,de}else{var de=new go.Geometry;return le>0?de.add(new go.PathFigure(oe,0).add(new go.PathSegment(go.PathSegment.Line,te-oe,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close())):de.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,oe,ne).close())),oete&&(le=te/2);var oe=Math.abs(le);if(le===0){var de=new go.Geometry(go.Geometry.Rectangle);return de.startX=0,de.startY=0,de.endX=te,de.endY=ne,de}else{var de=new go.Geometry;return le>0?de.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,oe,ne).close())):de.add(new go.PathFigure(oe,0).add(new go.PathSegment(go.PathSegment.Line,te-oe,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close())),oe0&&(he.add(new go.PathSegment(go.PathSegment.Move,te/2+ie,te/2)),he.add(new go.PathSegment(go.PathSegment.Arc,0,-360,oe,oe,ie,ie).close())),de.spot1=ke,de.spot2=Pe,de.defaultStretch=go.GraphObject.Uniform,de}),go.Shape.defineFigureGenerator("Cloud",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(.08034461*te,.1944299*ne,!0).add(new go.PathSegment(go.PathSegment.Bezier,.2008615*te,.05349299*ne,-.09239631*te,.07836421*ne,.1406031*te,-.0542823*ne)).add(new go.PathSegment(go.PathSegment.Bezier,.4338609*te,.074219*ne,.2450511*te,-.00697547*ne,.3776197*te,-.01112067*ne)).add(new 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go.PathSegment(go.PathSegment.Bezier,.08034461*te,.870098*ne,.2329994*te,1.01518*ne,.03213784*te,1.01518*ne)).add(new go.PathSegment(go.PathSegment.Bezier,.06829292*te,.6545475*ne,-.02812061*te,.9032597*ne,-.01205169*te,.6835638*ne)).add(new go.PathSegment(go.PathSegment.Bezier,.06427569*te,.4265613*ne,-.01812061*te,.6089503*ne,-.00606892*te,.4555777*ne)).add(new go.PathSegment(go.PathSegment.Bezier,.08034461*te,.1944299*ne,-.01606892*te,.3892545*ne,-.01205169*te,.1944299*ne))).setSpots(.1,.1,.9,.9)}),go.Shape.defineFigureGenerator("StopSign",function(ce,te,ne){var le=1/(Math.SQRT2+2);return new go.Geometry().add(new go.PathFigure(le*te,0,!0).add(new go.PathSegment(go.PathSegment.Line,(1-le)*te,0)).add(new go.PathSegment(go.PathSegment.Line,te,le*ne)).add(new go.PathSegment(go.PathSegment.Line,te,(1-le)*ne)).add(new go.PathSegment(go.PathSegment.Line,(1-le)*te,ne)).add(new go.PathSegment(go.PathSegment.Line,le*te,ne)).add(new go.PathSegment(go.PathSegment.Line,0,(1-le)*ne)).add(new go.PathSegment(go.PathSegment.Line,0,le*ne).close())).setSpots(le/2,le/2,1-le/2,1-le/2)}),go.Shape.setFigureParameter("Pie",0,new Pt("Start",0,-360,360)),go.Shape.setFigureParameter("Pie",1,new Pt("Sweep",315,-360,360)),go.Shape.defineFigureGenerator("Pie",function(ce,te,ne){var le=ce?ce.parameter1:NaN,oe=ce?ce.parameter2:NaN;isNaN(le)&&(le=0),isNaN(oe)&&(oe=315);var de=le%360;de<0&&(de+=360);var he=oe%360,ie=Math.min(te,ne)/2;return new go.Geometry().add(new go.PathFigure(ie,ie).add(new go.PathSegment(go.PathSegment.Arc,de,he,ie,ie,ie,ie).close()))}),go.Shape.defineFigureGenerator("PiePiece",function(ce,te,ne){var le=ge/Math.SQRT2*.5,oe=Math.SQRT2/2,de=1-Math.SQRT2/2;return new go.Geometry().add(new go.PathFigure(te,ne,!0).add(new go.PathSegment(go.PathSegment.Bezier,oe*te,de*ne,te,(1-le)*ne,(oe+le)*te,(de+le)*ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close()))}),go.Shape.setFigureParameter("ThickCross",0,new 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go.PathSegment(go.PathSegment.Line,te,ne))).setSpots(.01,.01,.99,.49)}),go.Shape.defineFigureGenerator("LogicIntersect",function(ce,te,ne){var le=.5;return new go.Geometry().add(new go.PathFigure(0,ne,!1).add(new go.PathSegment(go.PathSegment.Line,0,le*ne)).add(new go.PathSegment(go.PathSegment.Arc,180,180,le*te,le*ne,le*te,le*ne)).add(new go.PathSegment(go.PathSegment.Line,te,ne))).setSpots(0,.5,1,1)}),go.Shape.defineFigureGenerator("LogicUnion",function(ce,te,ne){var le=.5;return new go.Geometry().add(new go.PathFigure(te,0,!1).add(new go.PathSegment(go.PathSegment.Line,te,le*ne)).add(new go.PathSegment(go.PathSegment.Arc,0,180,le*te,le*ne,le*te,le*ne)).add(new go.PathSegment(go.PathSegment.Line,0,0))).setSpots(0,0,1,.5)}),go.Shape.setFigureParameter("Arrow",0,new Pt("ArrowheadWidth",.3,.01,.99)),go.Shape.setFigureParameter("Arrow",1,new Pt("TailHeight",.3,.01,.99)),go.Shape.defineFigureGenerator("Arrow",function(ce,te,ne){var le=ce?ce.parameter1:NaN;isNaN(le)&&(le=.3);var 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go.Spot(he.x,he.y),Ve(he),oe}),go.Shape.setFigureParameter("SplitEndArrow",0,new Pt("TailHeight",.4,.01,.99)),go.Shape.defineFigureGenerator("SplitEndArrow",function(ce,te,ne){var le=ce?ce.parameter1:NaN;isNaN(le)&&(le=.4);var oe=(.5-le/2)*ne,de=(.5+le/2)*ne,he=new go.Geometry,ie=new go.PathFigure(te,.5*ne,!0);he.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,.7*te,ne)),ie.add(new go.PathSegment(go.PathSegment.Line,.7*te,de)),ie.add(new go.PathSegment(go.PathSegment.Line,0,de)),ie.add(new go.PathSegment(go.PathSegment.Line,.2*te,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Line,0,oe)),ie.add(new go.PathSegment(go.PathSegment.Line,.7*te,oe)),ie.add(new go.PathSegment(go.PathSegment.Line,.7*te,0).close()),he.spot1=new go.Spot(.2,.3);var ue=Re(.7,1,1,.5,0,de/ne,1,de/ne,_e());return he.spot2=new go.Spot(ue.x,ue.y),Ve(ue),he}),go.Shape.setFigureParameter("SplitEndArrow2",0,new Pt("TailThickness",50)),go.Shape.defineFigureGenerator("SplitEndArrow2",function(ce,te,ne){var 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go.Spot(0,.25),le.spot2=go.Spot.BottomRight,le}),go.Shape.defineFigureGenerator("MessageFromUser",function(ce,te,ne){var le=new go.Geometry,oe=ce?ce.parameter1:NaN;isNaN(oe)&&(oe=.7);var de=new go.PathFigure(0,0,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te,0)),de.add(new go.PathSegment(go.PathSegment.Line,oe*te,.5*ne)),de.add(new go.PathSegment(go.PathSegment.Line,te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le.spot1=go.Spot.TopLeft,le}),go.Shape.defineFigureGenerator("MicroformProcessing",function(ce,te,ne){var le=new go.Geometry,oe=ce?ce.parameter1:NaN;isNaN(oe)&&(oe=.25);var de=new go.PathFigure(0,0,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.5*te,oe*ne)),de.add(new go.PathSegment(go.PathSegment.Line,te,0)),de.add(new go.PathSegment(go.PathSegment.Line,te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,.5*te,(1-oe)*ne)),de.add(new 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go.Spot(.8,.77),le}),go.Shape.defineFigureGenerator("MultiProcess",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(.1*te,.1*ne,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,.2*te,.1*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.2*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.9*te,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.9*te,.9*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.8*te,.9*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.8*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,.2*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.1*te,.2*ne).close());var de=new go.PathFigure(.2*te,.1*ne,!1);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.9*te,.1*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.9*te,.8*ne)),de.add(new go.PathSegment(go.PathSegment.Move,.1*te,.2*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.8*te,.2*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.8*te,.9*ne)),le.spot1=new go.Spot(0,.2),le.spot2=new go.Spot(.8,1),le}),go.Shape.defineFigureGenerator("OfflineStorage",function(ce,te,ne){var le=new go.Geometry,oe=ce?ce.parameter1:NaN;isNaN(oe)&&(oe=.1);var de=1-oe,he=new go.PathFigure(0,0,!0);le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te,0)),he.add(new go.PathSegment(go.PathSegment.Line,.5*te,ne).close());var ie=new go.PathFigure(.5*oe*te,oe*ne,!1);return le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,(1-.5*oe)*te,oe*ne)),le}),go.Shape.defineFigureGenerator("OffPageConnector",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,.75*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.75*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le.spot1=go.Spot.TopLeft,le.spot2=new go.Spot(.75,1),le}),go.Shape.defineFigureGenerator("Or",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=.5,he=new go.PathFigure(te,de*ne,!0);le.add(he),he.add(new go.PathSegment(go.PathSegment.Bezier,de*te,ne,te,(de+oe)*ne,(de+oe)*te,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,de*ne,(de-oe)*te,ne,0,(de+oe)*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,de*te,0,0,(de-oe)*ne,(de-oe)*te,0)),he.add(new go.PathSegment(go.PathSegment.Bezier,te,de*ne,(de+oe)*te,0,te,(de-oe)*ne));var ie=new go.PathFigure(te,.5*ne,!1);return le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,0,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Move,.5*te,ne)),ie.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),le}),go.Shape.defineFigureGenerator("PaperTape",function(ce,te,ne){var le=new go.Geometry;ne=ne/.8;var oe=new go.PathFigure(0,.7*ne,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,.3*ne)),oe.add(new go.PathSegment(go.PathSegment.Bezier,te,.3*ne,.5*te,.6*ne,.5*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.7*ne)),oe.add(new go.PathSegment(go.PathSegment.Bezier,0,.7*ne,.5*te,.4*ne,.5*te,ne).close()),le.spot1=new go.Spot(0,.49),le.spot2=new go.Spot(1,.75),le}),go.Shape.defineFigureGenerator("PrimitiveFromCall",function(ce,te,ne){var le=new go.Geometry,oe=ce?ce.parameter1:NaN,de=ce?ce.parameter2:NaN;isNaN(oe)&&(oe=.1),isNaN(de)&&(de=.3);var he=new go.PathFigure(0,0,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te,0)),he.add(new go.PathSegment(go.PathSegment.Line,(1-de)*te,.5*ne)),he.add(new go.PathSegment(go.PathSegment.Line,te,ne)),he.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le}),go.Shape.defineFigureGenerator("PrimitiveToCall",function(ce,te,ne){var le=new go.Geometry,oe=ce?ce.parameter1:NaN,de=ce?ce.parameter2:NaN;isNaN(oe)&&(oe=.1),isNaN(de)&&(de=.3);var he=new go.PathFigure(0,0,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,(1-de)*te,0)),he.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),he.add(new go.PathSegment(go.PathSegment.Line,(1-de)*te,ne)),he.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le}),go.Shape.defineFigureGenerator("Procedure",function(ce,te,ne){var le=new go.Geometry,oe=ce?ce.parameter1:NaN;isNaN(oe)&&(oe=.1);var de=new go.PathFigure(0,0,!0);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te,0)),de.add(new go.PathSegment(go.PathSegment.Line,te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,ne).close());var he=new go.PathFigure((1-oe)*te,0,!1);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,(1-oe)*te,ne)),he.add(new go.PathSegment(go.PathSegment.Move,oe*te,0)),he.add(new go.PathSegment(go.PathSegment.Line,oe*te,ne)),le}),go.Shape.defineFigureGenerator("Process",function(ce,te,ne){var le=new go.Geometry,oe=ce?ce.parameter1:NaN;isNaN(oe)&&(oe=.1);var de=new go.PathFigure(0,0,!0);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te,0)),de.add(new go.PathSegment(go.PathSegment.Line,te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,ne).close());var he=new go.PathFigure(oe*te,0,!1);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,oe*te,ne)),le.spot2=go.Spot.BottomRight,le}),go.Shape.defineFigureGenerator("Sort",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(.5*te,0,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.5*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,.5*ne).close());var de=new go.PathFigure(0,.5*ne,!1);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),le.spot1=new go.Spot(.25,.25),le.spot2=new go.Spot(.75,.5),le}),go.Shape.defineFigureGenerator("Start",function(ce,te,ne){var le=new go.Geometry,oe=ce?ce.parameter1:NaN;isNaN(oe)&&(oe=.25);var de=new go.PathFigure(oe*te,0,!0);le.add(de),de.add(new go.PathSegment(go.PathSegment.Arc,270,180,.75*te,.5*ne,.25*te,.5*ne)),de.add(new go.PathSegment(go.PathSegment.Arc,90,180,.25*te,.5*ne,.25*te,.5*ne));var he=new go.PathFigure(oe*te,0,!1);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,oe*te,ne)),he.add(new go.PathSegment(go.PathSegment.Move,(1-oe)*te,0)),he.add(new go.PathSegment(go.PathSegment.Line,(1-oe)*te,ne)),le.spot1=new go.Spot(oe,0),le.spot2=new go.Spot(1-oe,1),le}),go.Shape.defineFigureGenerator("Terminator",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(.25*te,0,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Arc,270,180,.75*te,.5*ne,.25*te,.5*ne)),oe.add(new go.PathSegment(go.PathSegment.Arc,90,180,.25*te,.5*ne,.25*te,.5*ne)),le.spot1=new go.Spot(.23,0),le.spot2=new go.Spot(.77,1),le}),go.Shape.defineFigureGenerator("TransmittalTape",function(ce,te,ne){var le=new go.Geometry,oe=ce?ce.parameter1:NaN;isNaN(oe)&&(oe=.1);var de=new go.PathFigure(0,0,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te,0)),de.add(new go.PathSegment(go.PathSegment.Line,te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,.75*te,(1-oe)*ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,(1-oe)*ne).close()),le.spot1=go.Spot.TopLeft,le}),go.Shape.defineFigureGenerator("AndGate",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=new go.PathFigure(0,0,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),de.add(new go.PathSegment(go.PathSegment.Bezier,te,.5*ne,(.5+oe)*te,0,te,(.5-oe)*ne)),de.add(new go.PathSegment(go.PathSegment.Bezier,.5*te,ne,te,(.5+oe)*ne,(.5+oe)*te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le.spot1=go.Spot.TopLeft,le.spot2=new go.Spot(.55,1),le}),go.Shape.defineFigureGenerator("Buffer",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le.spot1=new go.Spot(0,.25),le.spot2=new go.Spot(.5,.75),le}),go.Shape.defineFigureGenerator("Clock",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=.5,he=new go.PathFigure(te,de*ne,!0);le.add(he),he.add(new go.PathSegment(go.PathSegment.Bezier,de*te,ne,te,(de+oe)*ne,(de+oe)*te,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,de*ne,(de-oe)*te,ne,0,(de+oe)*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,de*te,0,0,(de-oe)*ne,(de-oe)*te,0)),he.add(new go.PathSegment(go.PathSegment.Bezier,te,de*ne,(de+oe)*te,0,te,(de-oe)*ne));var ie=new go.PathFigure(te,de*ne,!1);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te,de*ne));var ue=new go.PathFigure(.8*te,.75*ne,!1);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,.8*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.6*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.6*te,.75*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.4*te,.75*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.4*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.2*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.2*te,.75*ne)),le}),go.Shape.defineFigureGenerator("Ground",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(.5*te,0,!1);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,.5*te,.4*ne)),oe.add(new go.PathSegment(go.PathSegment.Move,.2*te,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.8*te,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Move,.3*te,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.7*te,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Move,.4*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.6*te,ne)),le}),go.Shape.defineFigureGenerator("Inverter",function(ce,te,ne){var le=new go.Geometry,oe=ge*.1,de=.1,he=.9,ie=.5,ue=new go.PathFigure(.8*te,.5*ne,!0);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,0,ne)),ue.add(new go.PathSegment(go.PathSegment.Line,0,0)),ue.add(new go.PathSegment(go.PathSegment.Line,.8*te,.5*ne));var ve=new go.PathFigure((he+de)*te,ie*ne,!0);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne,(he+oe)*te,(ie+de)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,(he-de)*te,ie*ne,(he-oe)*te,(ie+de)*ne,(he-de)*te,(ie+oe)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie-de)*ne,(he-de)*te,(ie-oe)*ne,(he-oe)*te,(ie-de)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,(he+de)*te,ie*ne,(he+oe)*te,(ie-de)*ne,(he+de)*te,(ie-oe)*ne)),le.spot1=new go.Spot(0,.25),le.spot2=new go.Spot(.4,.75),le}),go.Shape.defineFigureGenerator("NandGate",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=ge*.4,he=ge*.1,ie=.1,ue=.9,ve=.5,Se=new go.PathFigure(.8*te,.5*ne,!0);le.add(Se),Se.add(new go.PathSegment(go.PathSegment.Bezier,.4*te,ne,.8*te,(.5+de)*ne,(.4+oe)*te,ne)),Se.add(new go.PathSegment(go.PathSegment.Line,0,ne)),Se.add(new go.PathSegment(go.PathSegment.Line,0,0)),Se.add(new go.PathSegment(go.PathSegment.Line,.4*te,0)),Se.add(new go.PathSegment(go.PathSegment.Bezier,.8*te,.5*ne,(.4+oe)*te,0,.8*te,(.5-de)*ne));var De=new go.PathFigure((ue+ie)*te,ve*ne,!0);return le.add(De),De.add(new go.PathSegment(go.PathSegment.Bezier,ue*te,(ve+ie)*ne,(ue+ie)*te,(ve+he)*ne,(ue+he)*te,(ve+ie)*ne)),De.add(new go.PathSegment(go.PathSegment.Bezier,(ue-ie)*te,ve*ne,(ue-he)*te,(ve+ie)*ne,(ue-ie)*te,(ve+he)*ne)),De.add(new go.PathSegment(go.PathSegment.Bezier,ue*te,(ve-ie)*ne,(ue-ie)*te,(ve-he)*ne,(ue-he)*te,(ve-ie)*ne)),De.add(new go.PathSegment(go.PathSegment.Bezier,(ue+ie)*te,ve*ne,(ue+he)*te,(ve-ie)*ne,(ue+ie)*te,(ve-he)*ne)),le.spot1=new go.Spot(0,.05),le.spot2=new go.Spot(.55,.95),le}),go.Shape.defineFigureGenerator("NorGate",function(ce,te,ne){var le=new go.Geometry,oe=.5,de=ge*oe,he=0,ie=.5,ue=new go.PathFigure(.8*te,.5*ne,!0);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Bezier,0,ne,.7*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,0,0,.25*te,.75*ne,.25*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,.8*te,.5*ne,(he+de)*te,(ie-oe)*ne,.7*te,(ie-de)*ne)),oe=.1,de=ge*.1,he=.9,ie=.5;var ve=new go.PathFigure((he-oe)*te,ie*ne,!0);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie-oe)*ne,(he-oe)*te,(ie-de)*ne,(he-de)*te,(ie-oe)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,(he+oe)*te,ie*ne,(he+de)*te,(ie-oe)*ne,(he+oe)*te,(ie-de)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie+oe)*ne,(he+oe)*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,(he-oe)*te,ie*ne,(he-de)*te,(ie+oe)*ne,(he-oe)*te,(ie+de)*ne)),le.spot1=new go.Spot(.2,.25),le.spot2=new go.Spot(.6,.75),le}),go.Shape.defineFigureGenerator("OrGate",function(ce,te,ne){var le=new go.Geometry,oe=.5,de=ge*oe,he=0,ie=.5,ue=new go.PathFigure(0,0,!0);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Bezier,te,.5*ne,(he+de+de)*te,(ie-oe)*ne,.8*te,(ie-de)*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,0,ne,.8*te,(ie+de)*ne,(he+de+de)*te,(ie+oe)*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,0,0,.25*te,.75*ne,.25*te,.25*ne).close()),le.spot1=new go.Spot(.2,.25),le.spot2=new go.Spot(.75,.75),le}),go.Shape.defineFigureGenerator("XnorGate",function(ce,te,ne){var le=new go.Geometry,oe=.5,de=ge*oe,he=.2,ie=.5,ue=new go.PathFigure(.1*te,0,!1);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Bezier,.1*te,ne,.35*te,.25*ne,.35*te,.75*ne));var ve=new go.PathFigure(.8*te,.5*ne,!0);le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Bezier,.2*te,ne,.7*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne)),ve.add(new 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go.PathSegment(go.PathSegment.Bezier,.1*te,ne,.35*te,.25*ne,.35*te,.75*ne));var ve=new go.PathFigure(.2*te,0,!0);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Bezier,te,.5*ne,(he+de)*te,(ie-oe)*ne,.9*te,(ie-de)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,.2*te,ne,.9*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,.2*te,0,.45*te,.75*ne,.45*te,.25*ne).close()),le.spot1=new go.Spot(.4,.25),le.spot2=new go.Spot(.8,.75),le}),go.Shape.defineFigureGenerator("Capacitor",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!1);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne)),oe.add(new go.PathSegment(go.PathSegment.Move,te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,ne)),le}),go.Shape.defineFigureGenerator("Resistor",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,.5*ne,!1);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,.1*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,.2*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.3*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,.4*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,.6*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.7*te,.5*ne)),le}),go.Shape.defineFigureGenerator("Inductor",function(ce,te,ne){var le=new go.Geometry,oe=ge*.1,de=.1,he=.1,ie=.5,ue=new go.PathFigure((he-oe*.5)*te,ne,!1);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Bezier,(he+de)*te,0,(he-oe)*te,ne,(he-de)*te,0)),he=.3,ue.add(new go.PathSegment(go.PathSegment.Bezier,he*te,ne,(he+de)*te,0,(he+oe)*te,ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,(he+de)*te,0,(he-oe)*te,ne,(he-de)*te,0)),he=.5,ue.add(new go.PathSegment(go.PathSegment.Bezier,he*te,ne,(he+de)*te,0,(he+oe)*te,ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,(he+de)*te,0,(he-oe)*te,ne,(he-de)*te,0)),he=.7,ue.add(new go.PathSegment(go.PathSegment.Bezier,he*te,ne,(he+de)*te,0,(he+oe)*te,ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,(he+de)*te,0,(he-oe)*te,ne,(he-de)*te,0)),he=.9,ue.add(new go.PathSegment(go.PathSegment.Bezier,(he+oe*.5)*te,ne,(he+de)*te,0,(he+oe)*te,ne)),le}),go.Shape.defineFigureGenerator("ACvoltageSource",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=.5,he=.5,ie=.5,ue=new go.PathFigure((he-de)*te,ie*ne,!1);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie-de)*ne,(he-de)*te,(ie-oe)*ne,(he-oe)*te,(ie-de)*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,(he+de)*te,ie*ne,(he+oe)*te,(ie-de)*ne,(he+de)*te,(ie-oe)*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,he*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne,(he+oe)*te,(ie+de)*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,(he-de)*te,ie*ne,(he-oe)*te,(ie+de)*ne,(he-de)*te,(ie+oe)*ne)),ue.add(new go.PathSegment(go.PathSegment.Move,(he-de+.1)*te,ie*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,(he+de-.1)*te,ie*ne,he*te,(ie-de)*ne,he*te,(ie+de)*ne)),le}),go.Shape.defineFigureGenerator("DCvoltageSource",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,.75*ne,!1);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,.25*ne)),oe.add(new go.PathSegment(go.PathSegment.Move,te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,ne)),le}),go.Shape.defineFigureGenerator("Diode",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te,0,!1);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te,ne)),le.spot1=new go.Spot(0,.25),le.spot2=new go.Spot(.5,.75),le}),go.Shape.defineFigureGenerator("Wifi",function(ce,te,ne){var le=new go.Geometry,oe=te,de=ne;te=te*.38,ne=ne*.6;var he=ge*.8,ie=.8,ue=0,ve=.5,Se=(oe-te)/2,De=(de-ne)/2,Ne=new go.PathFigure(ue*te+Se,(ve+ie)*ne+De,!0);le.add(Ne),Ne.add(new go.PathSegment(go.PathSegment.Bezier,(ue-ie)*te+Se,ve*ne+De,(ue-he)*te+Se,(ve+ie)*ne+De,(ue-ie)*te+Se,(ve+he)*ne+De)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,ue*te+Se,(ve-ie)*ne+De,(ue-ie)*te+Se,(ve-he)*ne+De,(ue-he)*te+Se,(ve-ie)*ne+De)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,(ue-ie+he*.5)*te+Se,ve*ne+De,ue*te+Se,(ve-ie)*ne+De,(ue-ie+he*.5)*te+Se,(ve-he)*ne+De)),Ne.add(new go.PathSegment(go.PathSegment.Bezier,ue*te+Se,(ve+ie)*ne+De,(ue-ie+he*.5)*te+Se,(ve+he)*ne+De,ue*te+Se,(ve+ie)*ne+De).close()),he=ge*.4,ie=.4,ue=.2,ve=.5;var Be=new go.PathFigure(ue*te+Se,(ve+ie)*ne+De,!0);le.add(Be),Be.add(new go.PathSegment(go.PathSegment.Bezier,(ue-ie)*te+Se,ve*ne+De,(ue-he)*te+Se,(ve+ie)*ne+De,(ue-ie)*te+Se,(ve+he)*ne+De)),Be.add(new 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go.PathFigure(te*.83,ne*1,!1);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,te*.83,ne*.5)),ue.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*.5)),ue.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*1).close());var ve=new go.PathFigure(te*.78,ne*.05,!1);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.05)),ve.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.25)),ve.add(new go.PathSegment(go.PathSegment.Line,te*.78,ne*.25).close()),le}),go.Shape.defineFigureGenerator("SpeechBubble",function(ce,te,ne){var le=ce?ce.parameter1:NaN;(isNaN(le)||le<0)&&(le=15),le=Math.min(le,te/3),le=Math.min(le,ne/3);var oe=le*ge,de=ne*.8,he=new go.Geometry,ie=new go.PathFigure(le,0,!0);return he.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te-le,0)),ie.add(new go.PathSegment(go.PathSegment.Bezier,te,le,te-oe,0,te,oe)),ie.add(new go.PathSegment(go.PathSegment.Line,te,de-le)),ie.add(new go.PathSegment(go.PathSegment.Bezier,te-le,de,te,de-oe,te-oe,de)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.7,de)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.55,de)),ie.add(new go.PathSegment(go.PathSegment.Line,le,de)),ie.add(new go.PathSegment(go.PathSegment.Bezier,0,de-le,oe,de,0,de-oe)),ie.add(new go.PathSegment(go.PathSegment.Line,0,le)),ie.add(new go.PathSegment(go.PathSegment.Bezier,le,0,0,oe,oe,0).close()),oe>1?(he.spot1=new go.Spot(0,0,oe,oe),he.spot2=new go.Spot(1,.8,-oe,-oe)):(he.spot1=go.Spot.TopLeft,he.spot2=new go.Spot(1,.8)),he}),go.Shape.defineFigureGenerator("Repeat",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*.45,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*.25,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.45)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,ne*.45)),oe.add(new 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go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close()).add(new go.PathSegment(go.PathSegment.Move,.4*te,.4*ne)).add(new go.PathSegment(go.PathSegment.Line,.4*te,.8*ne)).add(new go.PathSegment(go.PathSegment.Line,.9*te,.8*ne)).add(new go.PathSegment(go.PathSegment.Line,.9*te,.4*ne).close()).add(new go.PathSegment(go.PathSegment.Move,.2*te,.1*ne)).add(new go.PathSegment(go.PathSegment.Line,.2*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.7*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.7*te,.1*ne).close()).add(new go.PathSegment(go.PathSegment.Move,.1*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.1*te,.9*ne)).add(new go.PathSegment(go.PathSegment.Line,.5*te,.9*ne)).add(new go.PathSegment(go.PathSegment.Line,.5*te,.6*ne).close()))}),go.Shape.defineFigureGenerator("Terminal",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*.1,!1);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.9)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*.9).close());var de=new go.PathFigure(te*.1,ne*.2,!0);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.25)),de.add(new go.PathSegment(go.PathSegment.Line,te*.22,ne*.285)),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.32)),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.37)),de.add(new go.PathSegment(go.PathSegment.Line,te*.275,ne*.32)),de.add(new go.PathSegment(go.PathSegment.Line,te*.275,ne*.25).close());var he=new go.PathFigure(te*.28,ne*.37,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.45,ne*.37)),he.add(new go.PathSegment(go.PathSegment.Line,te*.45,ne*.41)),he.add(new go.PathSegment(go.PathSegment.Line,te*.28,ne*.41).close()),le}),go.Shape.defineFigureGenerator("Beaker",function(ce,te,ne){var le=new go.Geometry,oe=15,de=oe*ge,he=new go.PathFigure(te*.62,ne*.475,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te,ne-oe)),he.add(new go.PathSegment(go.PathSegment.Bezier,te-oe,ne,te,ne-de,te-de,ne)),he.add(new go.PathSegment(go.PathSegment.Line,oe,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,ne-oe,de,ne,0,ne-de)),he.add(new go.PathSegment(go.PathSegment.Line,te*.38,ne*.475)),he.add(new go.PathSegment(go.PathSegment.Line,te*.38,ne*.03)),he.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*0)),he.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*0)),he.add(new go.PathSegment(go.PathSegment.Line,te*.62,ne*.03).close()),de>1?(le.spot1=new go.Spot(0,0,de,de),le.spot2=new go.Spot(1,1,-de,-de)):(le.spot1=go.Spot.TopLeft,le.spot2=go.Spot.BottomRight),le}),go.Shape.defineFigureGenerator("Download",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*1,!0);le.add(oe);var de=.1/.3;oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.755,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.93,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.61,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.39,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.07,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.755),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.8),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*(1-de)).close());var he=new go.PathFigure(te*.4,ne*0,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.4,ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.26,ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.66)),he.add(new go.PathSegment(go.PathSegment.Line,te*(1-.26),ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*.44)),he.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*0).close()),le}),go.Shape.defineFigureGenerator("Bin",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*1,!0);le.add(oe);var de=.1/.3;return oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.755,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.93,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.61,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.39,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.07,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.755),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.8),ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*(1-de)).close()),le}),go.Shape.defineFigureGenerator("Upload",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*1,!0);le.add(oe);var de=.1/.3;oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.755,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.93,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.61,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.39,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*(1-de))),oe.add(new 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go.PathSegment(go.PathSegment.Line,te*.85,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,ne*1).close()),le}),go.Shape.defineFigureGenerator("Drink",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*.15,ne*0,!1);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*.85,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,ne*1).close());var de=new go.PathFigure(te*.235,ne*.28,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*.765,ne*.28)),de.add(new go.PathSegment(go.PathSegment.Line,te*.655,ne*.97)),de.add(new go.PathSegment(go.PathSegment.Line,te*.345,ne*.97).close()),le}),go.Shape.defineFigureGenerator("4Arrows",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*.5,ne*0,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*.65,ne*.25)),oe.add(new 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go.PathSegment(go.PathSegment.Line,te,.5*ne).close())).setSpots(.25,.25,.75,.75)}),go.Shape.defineFigureGenerator("LineH",function(ce,te,ne){var le=new go.Geometry(go.Geometry.Line);return le.startX=0,le.startY=ne/2,le.endX=te,le.endY=ne/2,le}),go.Shape.defineFigureGenerator("LineV",function(ce,te,ne){var le=new go.Geometry(go.Geometry.Line);return le.startX=te/2,le.startY=0,le.endX=te/2,le.endY=ne,le}),go.Shape.defineFigureGenerator("BarH","Rectangle"),go.Shape.defineFigureGenerator("BarV","Rectangle"),go.Shape.defineFigureGenerator("MinusLine","LineH"),go.Shape.defineFigureGenerator("PlusLine",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,ne/2,!1).add(new go.PathSegment(go.PathSegment.Line,te,ne/2)).add(new go.PathSegment(go.PathSegment.Move,te/2,0)).add(new go.PathSegment(go.PathSegment.Line,te/2,ne)))}),go.Shape.defineFigureGenerator("XLine",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,ne,!1).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Move,0,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)))}),go.Shape.defineFigureGenerator("LineRight",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(.25*te,0,!1).add(new go.PathSegment(go.PathSegment.Line,.75*te,.5*ne)).add(new go.PathSegment(go.PathSegment.Line,.25*te,ne)))}),go.Shape.defineFigureGenerator("LineDown",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,.25*ne,!1).add(new go.PathSegment(go.PathSegment.Line,.5*te,.75*ne)).add(new go.PathSegment(go.PathSegment.Line,te,.25*ne)))}),go.Shape.defineFigureGenerator("LineLeft",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(.75*te,0,!1).add(new go.PathSegment(go.PathSegment.Line,.25*te,.5*ne)).add(new go.PathSegment(go.PathSegment.Line,.75*te,ne)))}),go.Shape.defineFigureGenerator("LineUp",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,.75*ne,!1).add(new go.PathSegment(go.PathSegment.Line,.5*te,.25*ne)).add(new go.PathSegment(go.PathSegment.Line,te,.75*ne)))}),go.Shape.defineFigureGenerator("AsteriskLine",function(ce,te,ne){var le=.2/Math.SQRT2;return new go.Geometry().add(new go.PathFigure(le*te,(1-le)*ne,!1).add(new go.PathSegment(go.PathSegment.Line,(1-le)*te,le*ne)).add(new go.PathSegment(go.PathSegment.Move,le*te,le*ne)).add(new go.PathSegment(go.PathSegment.Line,(1-le)*te,(1-le)*ne)).add(new go.PathSegment(go.PathSegment.Move,0,ne/2)).add(new go.PathSegment(go.PathSegment.Line,te,ne/2)).add(new go.PathSegment(go.PathSegment.Move,te/2,0)).add(new go.PathSegment(go.PathSegment.Line,te/2,ne)))}),go.Shape.defineFigureGenerator("CircleLine",function(ce,te,ne){var le=te/2,oe=new go.Geometry().add(new go.PathFigure(te,te/2,!1).add(new go.PathSegment(go.PathSegment.Arc,0,360,le,le,le,le).close()));return oe.spot1=ke,oe.spot2=Pe,oe.defaultStretch=go.GraphObject.Uniform,oe}),go.Shape.defineFigureGenerator("Line1",function(ce,te,ne){var le=new go.Geometry(go.Geometry.Line);return le.startX=0,le.startY=0,le.endX=te,le.endY=ne,le}),go.Shape.defineFigureGenerator("Line2",function(ce,te,ne){var le=new go.Geometry(go.Geometry.Line);return le.startX=te,le.startY=0,le.endX=0,le.endY=ne,le}),go.Shape.defineFigureGenerator("Curve1",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,te,ne,ge*te,0,te,(1-ge)*ne)))}),go.Shape.defineFigureGenerator("Curve2",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,te,ne,0,ge*ne,(1-ge)*te,ne)))}),go.Shape.defineFigureGenerator("Curve3",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(te,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,0,ne,te,ge*ne,ge*te,ne)))}),go.Shape.defineFigureGenerator("Curve4",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(te,0,!1).add(new 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go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne).close())).setSpots(.5,0,1,.5)}),go.Shape.defineFigureGenerator("RightTriangle","TriangleDownLeft"),go.Shape.setFigureParameter("Parallelogram1",0,new Pt("Indent",.1,-.99,.99)),go.Shape.defineFigureGenerator("Parallelogram1",function(ce,te,ne){var le=ce?ce.parameter1:NaN;isNaN(le)?le=.1:le<-1?le=-1:le>1&&(le=1);var oe=Math.abs(le)*te;if(le===0){var de=new go.Geometry(go.Geometry.Rectangle);return de.startX=0,de.startY=0,de.endX=te,de.endY=ne,de}else{var de=new go.Geometry;return le>0?de.add(new go.PathFigure(oe,0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close())):de.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,te-oe,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,oe,ne).close())),oete&&(le=te);var 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go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,oe,ne).close())),oete&&(le=te/2);var oe=Math.abs(le);if(le===0){var de=new go.Geometry(go.Geometry.Rectangle);return de.startX=0,de.startY=0,de.endX=te,de.endY=ne,de}else{var de=new go.Geometry;return le>0?de.add(new go.PathFigure(oe,0).add(new go.PathSegment(go.PathSegment.Line,te-oe,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close())):de.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,oe,ne).close())),oete&&(le=te/2);var oe=Math.abs(le);if(le===0){var de=new go.Geometry(go.Geometry.Rectangle);return de.startX=0,de.startY=0,de.endX=te,de.endY=ne,de}else{var de=new go.Geometry;return le>0?de.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,oe,ne).close())):de.add(new go.PathFigure(oe,0).add(new go.PathSegment(go.PathSegment.Line,te-oe,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close())),oe0&&(he.add(new go.PathSegment(go.PathSegment.Move,te/2+ie,te/2)),he.add(new go.PathSegment(go.PathSegment.Arc,0,-360,oe,oe,ie,ie).close())),de.spot1=ke,de.spot2=Pe,de.defaultStretch=go.GraphObject.Uniform,de}),go.Shape.defineFigureGenerator("Cloud",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(.08034461*te,.1944299*ne,!0).add(new go.PathSegment(go.PathSegment.Bezier,.2008615*te,.05349299*ne,-.09239631*te,.07836421*ne,.1406031*te,-.0542823*ne)).add(new go.PathSegment(go.PathSegment.Bezier,.4338609*te,.074219*ne,.2450511*te,-.00697547*ne,.3776197*te,-.01112067*ne)).add(new 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go.PathSegment(go.PathSegment.Line,0,le*ne).close())).setSpots(le/2,le/2,1-le/2,1-le/2)}),go.Shape.setFigureParameter("Pie",0,new Pt("Start",0,-360,360)),go.Shape.setFigureParameter("Pie",1,new Pt("Sweep",315,-360,360)),go.Shape.defineFigureGenerator("Pie",function(ce,te,ne){var le=ce?ce.parameter1:NaN,oe=ce?ce.parameter2:NaN;isNaN(le)&&(le=0),isNaN(oe)&&(oe=315);var de=le%360;de<0&&(de+=360);var he=oe%360,ie=Math.min(te,ne)/2;return new go.Geometry().add(new go.PathFigure(ie,ie).add(new go.PathSegment(go.PathSegment.Arc,de,he,ie,ie,ie,ie).close()))}),go.Shape.defineFigureGenerator("PiePiece",function(ce,te,ne){var le=ge/Math.SQRT2*.5,oe=Math.SQRT2/2,de=1-Math.SQRT2/2;return new go.Geometry().add(new go.PathFigure(te,ne,!0).add(new go.PathSegment(go.PathSegment.Bezier,oe*te,de*ne,te,(1-le)*ne,(oe+le)*te,(de+le)*ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close()))}),go.Shape.setFigureParameter("ThickCross",0,new Pt("Thickness",30)),go.Shape.defineFigureGenerator("ThickCross",function(ce,te,ne){var le=ce?ce.parameter1:NaN;(isNaN(le)||le<0)&&(le=30);var oe=Math.min(le,te)/2,de=te/2,he=ne/2;return new go.Geometry().add(new go.PathFigure(de-oe,0,!0).add(new go.PathSegment(go.PathSegment.Line,de+oe,0)).add(new go.PathSegment(go.PathSegment.Line,de+oe,he-oe)).add(new go.PathSegment(go.PathSegment.Line,te,he-oe)).add(new go.PathSegment(go.PathSegment.Line,te,he+oe)).add(new go.PathSegment(go.PathSegment.Line,de+oe,he+oe)).add(new go.PathSegment(go.PathSegment.Line,de+oe,ne)).add(new go.PathSegment(go.PathSegment.Line,de-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,de-oe,he+oe)).add(new go.PathSegment(go.PathSegment.Line,0,he+oe)).add(new go.PathSegment(go.PathSegment.Line,0,he-oe)).add(new go.PathSegment(go.PathSegment.Line,de-oe,he-oe).close()))}),go.Shape.setFigureParameter("ThinCross",0,new Pt("Thickness",10)),go.Shape.defineFigureGenerator("ThinCross",function(ce,te,ne){var le=ce?ce.parameter1:NaN;(isNaN(le)||le<0)&&(le=10);var oe=Math.min(le,te)/2,de=te/2,he=ne/2;return new go.Geometry().add(new go.PathFigure(de-oe,0,!0).add(new go.PathSegment(go.PathSegment.Line,de+oe,0)).add(new go.PathSegment(go.PathSegment.Line,de+oe,he-oe)).add(new go.PathSegment(go.PathSegment.Line,te,he-oe)).add(new go.PathSegment(go.PathSegment.Line,te,he+oe)).add(new go.PathSegment(go.PathSegment.Line,de+oe,he+oe)).add(new go.PathSegment(go.PathSegment.Line,de+oe,ne)).add(new go.PathSegment(go.PathSegment.Line,de-oe,ne)).add(new go.PathSegment(go.PathSegment.Line,de-oe,he+oe)).add(new go.PathSegment(go.PathSegment.Line,0,he+oe)).add(new go.PathSegment(go.PathSegment.Line,0,he-oe)).add(new go.PathSegment(go.PathSegment.Line,de-oe,he-oe).close()))}),go.Shape.setFigureParameter("ThickX",0,new Pt("Thickness",30)),go.Shape.defineFigureGenerator("ThickX",function(ce,te,ne){var le=ce?ce.parameter1:NaN;if((isNaN(le)||le<0)&&(le=30),te===0||ne===0){var oe=new 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Pt("Thickness",10)),go.Shape.defineFigureGenerator("ThinX",function(ce,te,ne){var le=ce?ce.parameter1:NaN;(isNaN(le)||le<0)&&(le=10);var oe=new go.Geometry,de=new go.PathFigure(.1*te,0,!0);return oe.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.5*te,.4*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.9*te,0)),de.add(new go.PathSegment(go.PathSegment.Line,te,.1*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.6*te,.5*ne)),de.add(new go.PathSegment(go.PathSegment.Line,te,.9*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.9*te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,.5*te,.6*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.1*te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,.9*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.4*te,.5*ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,.1*ne).close()),oe}),go.Shape.setFigureParameter("SquareIBeam",0,new Pt("BeamWidth",.2,.1,.9)),go.Shape.defineFigureGenerator("SquareIBeam",function(ce,te,ne){var 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go.PathSegment(go.PathSegment.Line,te,.5*ne)).add(new go.PathSegment(go.PathSegment.Line,0,.5*ne)).add(new go.PathSegment(go.PathSegment.Move,te,.5*ne)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne)))}),go.Shape.defineFigureGenerator("LogicForAll",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Line,.5*te,ne)).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Move,.25*te,.5*ne)).add(new go.PathSegment(go.PathSegment.Line,.75*te,.5*ne))).setSpots(.25,0,.75,.5)}),go.Shape.defineFigureGenerator("LogicIsDefinedAs",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Move,0,.5*ne)).add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)).add(new go.PathSegment(go.PathSegment.Move,0,ne)).add(new go.PathSegment(go.PathSegment.Line,te,ne))).setSpots(.01,.01,.99,.49)}),go.Shape.defineFigureGenerator("LogicIntersect",function(ce,te,ne){var le=.5;return new go.Geometry().add(new go.PathFigure(0,ne,!1).add(new go.PathSegment(go.PathSegment.Line,0,le*ne)).add(new go.PathSegment(go.PathSegment.Arc,180,180,le*te,le*ne,le*te,le*ne)).add(new go.PathSegment(go.PathSegment.Line,te,ne))).setSpots(0,.5,1,1)}),go.Shape.defineFigureGenerator("LogicUnion",function(ce,te,ne){var le=.5;return new go.Geometry().add(new go.PathFigure(te,0,!1).add(new go.PathSegment(go.PathSegment.Line,te,le*ne)).add(new go.PathSegment(go.PathSegment.Arc,0,180,le*te,le*ne,le*te,le*ne)).add(new go.PathSegment(go.PathSegment.Line,0,0))).setSpots(0,0,1,.5)}),go.Shape.setFigureParameter("Arrow",0,new Pt("ArrowheadWidth",.3,.01,.99)),go.Shape.setFigureParameter("Arrow",1,new Pt("TailHeight",.3,.01,.99)),go.Shape.defineFigureGenerator("Arrow",function(ce,te,ne){var le=ce?ce.parameter1:NaN;isNaN(le)&&(le=.3);var oe=ce?ce.parameter2:NaN;isNaN(oe)&&(oe=.3);var de=(1-le)*te,he=(.5-oe/2)*ne,ie=(.5+oe/2)*ne,ue=new go.Geometry,ve=new go.PathFigure(0,he,!0);ue.add(ve),ve.add(new go.PathSegment(go.PathSegment.Line,de,he)),ve.add(new go.PathSegment(go.PathSegment.Line,de,0)),ve.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),ve.add(new go.PathSegment(go.PathSegment.Line,de,ne)),ve.add(new go.PathSegment(go.PathSegment.Line,de,ie)),ve.add(new go.PathSegment(go.PathSegment.Line,0,ie).close()),ue.spot1=new go.Spot(0,he/ne);var Se=Re(0,ie/ne,1,ie/ne,de/te,1,1,.5,_e());return ue.spot2=new go.Spot(Se.x,Se.y),Ve(Se),ue}),go.Shape.setFigureParameter("Arrow2",0,new Pt("ArrowheadWidth",30)),go.Shape.setFigureParameter("Arrow2",0,new Pt("TailHeight",30)),go.Shape.defineFigureGenerator("Arrow2",function(ce,te,ne){var le=ce?ce.parameter1:NaN;isNaN(le)&&(le=30),le>te&&(le=te);var oe=ce?ce.parameter2:NaN;isNaN(oe)&&(oe=30),oe=Math.min(oe,ne/2);var de=te-le,he=(ne-oe)/2,ie=he+oe,ue=new go.Geometry,ve=new go.PathFigure(0,he,!0);ue.add(ve),ve.add(new go.PathSegment(go.PathSegment.Line,de,he)),ve.add(new go.PathSegment(go.PathSegment.Line,de,0)),ve.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),ve.add(new go.PathSegment(go.PathSegment.Line,de,ne)),ve.add(new go.PathSegment(go.PathSegment.Line,de,ie)),ve.add(new go.PathSegment(go.PathSegment.Line,0,ie).close()),ue.spot1=new go.Spot(0,he/ne);var Se=Re(0,ie/ne,1,ie/ne,de/te,1,1,.5,_e());return ue.spot2=new go.Spot(Se.x,Se.y),Ve(Se),ue}),go.Shape.defineFigureGenerator("Chevron",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.5*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.5*te,.5*ne).close()),le}),go.Shape.defineFigureGenerator("DoubleArrow",function(ce,te,ne){var le=new 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go.PathSegment(go.PathSegment.Line,0,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Line,.3*te,0)),ie.add(new go.PathSegment(go.PathSegment.Line,.3*te,oe)),ie.add(new go.PathSegment(go.PathSegment.Line,.7*te,oe)),ie.add(new go.PathSegment(go.PathSegment.Line,.7*te,0).close());var ue=Re(0,.5,.3,0,0,oe/ne,.1,oe/ne,_e());return he.spot1=new go.Spot(ue.x,ue.y),ue=Re(.7,1,1,.5,0,de/ne,1,de/ne,ue),he.spot2=new go.Spot(ue.x,ue.y),Ve(ue),he}),go.Shape.setFigureParameter("DoubleEndArrow2",0,new Pt("ConnecterHeight",40)),go.Shape.setFigureParameter("DoubleEndArrow2",1,new Pt("ArrowHeight",100)),go.Shape.defineFigureGenerator("DoubleEndArrow2",function(ce,te,ne){var le=ce?ce.parameter1:NaN;isNaN(le)&&(le=40);var oe=ce?ce.parameter2:NaN;isNaN(oe)&&(oe=100);var de=(ne-le)/2,he=de+le,ie=(ne-oe)/2,ue=ie+oe;(le>ne||oe>ne)&&(oe>le?(le=le*ne/oe,de=(ne-le)/2,he=de+le,ie=0,ue=ne):(de=0,he=ne,ie=0,ue=ne));var ve=new go.Geometry,Se=new go.PathFigure(te,.5*ne,!0);ve.add(Se),Se.add(new 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go.Spot(he.x,he.y),Ve(he),oe}),go.Shape.setFigureParameter("SplitEndArrow",0,new Pt("TailHeight",.4,.01,.99)),go.Shape.defineFigureGenerator("SplitEndArrow",function(ce,te,ne){var le=ce?ce.parameter1:NaN;isNaN(le)&&(le=.4);var oe=(.5-le/2)*ne,de=(.5+le/2)*ne,he=new go.Geometry,ie=new go.PathFigure(te,.5*ne,!0);he.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,.7*te,ne)),ie.add(new go.PathSegment(go.PathSegment.Line,.7*te,de)),ie.add(new go.PathSegment(go.PathSegment.Line,0,de)),ie.add(new go.PathSegment(go.PathSegment.Line,.2*te,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Line,0,oe)),ie.add(new go.PathSegment(go.PathSegment.Line,.7*te,oe)),ie.add(new go.PathSegment(go.PathSegment.Line,.7*te,0).close()),he.spot1=new go.Spot(.2,.3);var ue=Re(.7,1,1,.5,0,de/ne,1,de/ne,_e());return he.spot2=new go.Spot(ue.x,ue.y),Ve(ue),he}),go.Shape.setFigureParameter("SplitEndArrow2",0,new Pt("TailThickness",50)),go.Shape.defineFigureGenerator("SplitEndArrow2",function(ce,te,ne){var 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go.PathSegment(go.PathSegment.Line,le*te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,0)),de.add(new go.PathSegment(go.PathSegment.Line,le*te,0).close()),oe.spot1=go.Spot.TopLeft,oe.spot2=new go.Spot(le,1),oe}),go.Shape.defineFigureGenerator("Cone1",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=ge*.1,he=new go.PathFigure(0,.9*ne,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),he.add(new go.PathSegment(go.PathSegment.Line,te,.9*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,.5*te,ne,te,(.9+de)*ne,(.5+oe)*te,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,.9*ne,(.5-oe)*te,ne,0,(.9+de)*ne).close()),le.spot1=new go.Spot(.25,.5),le.spot2=new go.Spot(.75,.97),le}),go.Shape.defineFigureGenerator("Cone2",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,.9*ne,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Bezier,te,.9*ne,(1-.85/.9)*te,ne,.85/.9*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,0,.9*ne).close());var de=new go.PathFigure(0,.9*ne,!1);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Bezier,te,.9*ne,(1-.85/.9)*te,.8*ne,.85/.9*te,.8*ne)),le.spot1=new go.Spot(.25,.5),le.spot2=new go.Spot(.75,.82),le}),go.Shape.defineFigureGenerator("Cube1",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(.5*te,ne,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te,.85*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.15*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,0,.15*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,.85*ne).close());var de=new go.PathFigure(.5*te,ne,!1);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.5*te,.3*ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,.15*ne)),de.add(new go.PathSegment(go.PathSegment.Move,.5*te,.3*ne)),de.add(new go.PathSegment(go.PathSegment.Line,te,.15*ne)),le.spot1=new go.Spot(0,.3),le.spot2=new go.Spot(.5,.85),le}),go.Shape.defineFigureGenerator("Cube2",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,.3*ne,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.7*te,ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te,.7*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,.3*te,0).close());var de=new go.PathFigure(0,.3*ne,!1);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.7*te,.3*ne)),de.add(new go.PathSegment(go.PathSegment.Line,te,0)),de.add(new go.PathSegment(go.PathSegment.Move,.7*te,.3*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.7*te,ne)),le.spot1=new go.Spot(0,.3),le.spot2=new 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go.PathFigure(0,0,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te,0)),de.add(new go.PathSegment(go.PathSegment.Line,te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,.75*te,(1-oe)*ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,(1-oe)*ne).close()),le.spot1=go.Spot.TopLeft,le}),go.Shape.defineFigureGenerator("AndGate",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=new go.PathFigure(0,0,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.5*te,0)),de.add(new go.PathSegment(go.PathSegment.Bezier,te,.5*ne,(.5+oe)*te,0,te,(.5-oe)*ne)),de.add(new go.PathSegment(go.PathSegment.Bezier,.5*te,ne,te,(.5+oe)*ne,(.5+oe)*te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le.spot1=go.Spot.TopLeft,le.spot2=new go.Spot(.55,1),le}),go.Shape.defineFigureGenerator("Buffer",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne).close()),le.spot1=new go.Spot(0,.25),le.spot2=new go.Spot(.5,.75),le}),go.Shape.defineFigureGenerator("Clock",function(ce,te,ne){var le=new go.Geometry,oe=ge*.5,de=.5,he=new go.PathFigure(te,de*ne,!0);le.add(he),he.add(new go.PathSegment(go.PathSegment.Bezier,de*te,ne,te,(de+oe)*ne,(de+oe)*te,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,de*ne,(de-oe)*te,ne,0,(de+oe)*ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,de*te,0,0,(de-oe)*ne,(de-oe)*te,0)),he.add(new go.PathSegment(go.PathSegment.Bezier,te,de*ne,(de+oe)*te,0,te,(de-oe)*ne));var ie=new go.PathFigure(te,de*ne,!1);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te,de*ne));var ue=new go.PathFigure(.8*te,.75*ne,!1);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,.8*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.6*te,.25*ne)),ue.add(new go.PathSegment(go.PathSegment.Line,.6*te,.75*ne)),ue.add(new 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go.Spot(.6,.75),le}),go.Shape.defineFigureGenerator("OrGate",function(ce,te,ne){var le=new go.Geometry,oe=.5,de=ge*oe,he=0,ie=.5,ue=new go.PathFigure(0,0,!0);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Bezier,te,.5*ne,(he+de+de)*te,(ie-oe)*ne,.8*te,(ie-de)*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,0,ne,.8*te,(ie+de)*ne,(he+de+de)*te,(ie+oe)*ne)),ue.add(new go.PathSegment(go.PathSegment.Bezier,0,0,.25*te,.75*ne,.25*te,.25*ne).close()),le.spot1=new go.Spot(.2,.25),le.spot2=new go.Spot(.75,.75),le}),go.Shape.defineFigureGenerator("XnorGate",function(ce,te,ne){var le=new go.Geometry,oe=.5,de=ge*oe,he=.2,ie=.5,ue=new go.PathFigure(.1*te,0,!1);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Bezier,.1*te,ne,.35*te,.25*ne,.35*te,.75*ne));var ve=new go.PathFigure(.8*te,.5*ne,!0);le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Bezier,.2*te,ne,.7*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne)),ve.add(new 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go.PathSegment(go.PathSegment.Bezier,.1*te,ne,.35*te,.25*ne,.35*te,.75*ne));var ve=new go.PathFigure(.2*te,0,!0);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Bezier,te,.5*ne,(he+de)*te,(ie-oe)*ne,.9*te,(ie-de)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,.2*te,ne,.9*te,(ie+de)*ne,(he+de)*te,(ie+oe)*ne)),ve.add(new go.PathSegment(go.PathSegment.Bezier,.2*te,0,.45*te,.75*ne,.45*te,.25*ne).close()),le.spot1=new go.Spot(.4,.25),le.spot2=new go.Spot(.8,.75),le}),go.Shape.defineFigureGenerator("Capacitor",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!1);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne)),oe.add(new go.PathSegment(go.PathSegment.Move,te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,te,ne)),le}),go.Shape.defineFigureGenerator("Resistor",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,.5*ne,!1);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,.1*te,0)),oe.add(new 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go.PathSegment(go.PathSegment.Line,.45*te,.54*ne)),de.add(new go.PathSegment(go.PathSegment.Move,te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,.55*te,.54*ne)),le}),go.Shape.defineFigureGenerator("Ethernet",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(.35*te,0,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,.65*te,0)),oe.add(new go.PathSegment(go.PathSegment.Line,.65*te,.4*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.35*te,.4*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.35*te,0).close());var de=new go.PathFigure(.1*te,ne,!0,!0);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,.4*te,ne)),de.add(new go.PathSegment(go.PathSegment.Line,.4*te,.6*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.1*te,.6*ne)),de.add(new go.PathSegment(go.PathSegment.Line,.1*te,ne).close());var he=new go.PathFigure(.6*te,ne,!0,!0);le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,.9*te,ne)),he.add(new go.PathSegment(go.PathSegment.Line,.9*te,.6*ne)),he.add(new go.PathSegment(go.PathSegment.Line,.6*te,.6*ne)),he.add(new go.PathSegment(go.PathSegment.Line,.6*te,ne).close());var ie=new go.PathFigure(0,.5*ne,!1);return le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Move,.5*te,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Line,.5*te,.4*ne)),ie.add(new go.PathSegment(go.PathSegment.Move,.75*te,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Line,.75*te,.6*ne)),ie.add(new go.PathSegment(go.PathSegment.Move,.25*te,.5*ne)),ie.add(new go.PathSegment(go.PathSegment.Line,.25*te,.6*ne)),le}),go.Shape.defineFigureGenerator("Power",function(ce,te,ne){var le=new go.Geometry,oe=ge*.4,de=.4,he=.5,ie=.5,ue=_e(),ve=_e(),Se=_e(),De=_e();Ce(he,ie-de,he+oe,ie-de,he+de,ie-oe,he+de,ie,.5,ue,ue,ve,Se,De);var Ne=Oe(ve.x,ve.y),Be=new go.PathFigure(ve.x*te,ve.y*ne,!0);le.add(Be),Be.add(new 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go.Geometry,oe=new go.PathFigure(0,ne*1,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*.184,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.184,ne*(1-.184)).close());var de=new go.PathFigure(te*.204,ne,!0);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*.204,ne*(1-.184))),de.add(new go.PathSegment(go.PathSegment.Line,te*.388,ne*(1-.184*2))),de.add(new go.PathSegment(go.PathSegment.Line,te*.388,ne*1).close());var he=new go.PathFigure(te*.408,ne,!0);le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.408,ne*(1-.184*2))),he.add(new go.PathSegment(go.PathSegment.Line,te*.592,ne*(1-.184*3))),he.add(new go.PathSegment(go.PathSegment.Line,te*.592,ne*1).close());var ie=new go.PathFigure(te*.612,ne,!0);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te*.612,ne*(1-.184*3))),ie.add(new go.PathSegment(go.PathSegment.Line,te*.796,ne*(1-.184*4))),ie.add(new go.PathSegment(go.PathSegment.Line,te*.796,ne*1).close());var ue=new go.PathFigure(te*.816,ne,!0);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,te*.816,ne*(1-.184*4))),ue.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*(1-.184*5))),ue.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1).close()),le}),go.Shape.defineFigureGenerator("PC",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,0).close());var de=new go.PathFigure(te*.055,.07*ne,!0);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*.245,ne*.07)),de.add(new go.PathSegment(go.PathSegment.Line,te*.245,ne*.1)),de.add(new go.PathSegment(go.PathSegment.Line,te*.055,ne*.1).close());var he=new go.PathFigure(te*.055,.13*ne,!0);le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.245,ne*.13)),he.add(new go.PathSegment(go.PathSegment.Line,te*.245,ne*.16)),he.add(new go.PathSegment(go.PathSegment.Line,te*.055,ne*.16).close());var ie=new go.PathFigure(te*.055,.18*ne,!0);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te*.245,ne*.18)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.245,ne*.21)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.055,ne*.21).close());var ue=new go.PathFigure(te*1,0,!0);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,te*.4,0)),ue.add(new go.PathSegment(go.PathSegment.Line,te*.4,ne*.65)),ue.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.65).close()),le}),go.Shape.defineFigureGenerator("Plane",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(.55*te,ne,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,.5*te,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.4*te,.7*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.1*te,.475*ne)),oe.add(new go.PathSegment(go.PathSegment.Bezier,.35*te,.525*ne,0,.4*ne,.225*te,.45*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.4*te,.475*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.15*te,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.2*te,.325*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.6*te,.325*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.85*te,.1*ne)),oe.add(new go.PathSegment(go.PathSegment.Bezier,.9*te,.2*ne,.975*te,0,te,.08*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.7*te,.45*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.6*te,.95*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,.55*te,ne).close()),le}),go.Shape.defineFigureGenerator("Key",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*1,ne*.5,!0);return le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*.9,.4*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.4*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.45,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,.2*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.15,.2*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,.35*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,0,.65*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.15,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,.8*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.45,.65*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.65*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.6,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.65,.55*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.7,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.75,.55*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,.6*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.85,.575*ne)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.9,.6*ne).close()),oe.add(new go.PathSegment(go.PathSegment.Move,.17*te,.425*ne)),oe.add(new go.PathSegment(go.PathSegment.Arc,270,360,.17*te,.5*ne,.075*te,.075*ne).close()),le}),go.Shape.defineFigureGenerator("FilmTape",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(0,0,!1);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Arc,270,180,te*0,te*.3,te*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,0,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.08,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.08,ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*1),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*1),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*2),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*2),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*3),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*3),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*4),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*4),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*5),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*5),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*6),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*6),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*7),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*7),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*8),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*8),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*9),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*9),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*10),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*10),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*11),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*11),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*12),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*12),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*13),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*13),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*14),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*14),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*15),ne*.95)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(.08+.056*15),ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1));var de=new go.PathFigure(0,0,!1);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*0)),de.add(new go.PathSegment(go.PathSegment.Arc,270,-180,te*1,te*.3,te*.055)),de.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1));var he=new go.PathFigure(te*.11,ne*.1,!1);le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*1+.028*0),ne*.1)),he.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*1+.028*0),ne*.8)),he.add(new go.PathSegment(go.PathSegment.Line,te*.11,ne*.8).close());var ie=new go.PathFigure(te*(.11+.24133333*1+.028*1),ne*.1,!1);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*2+.028*1),ne*.1)),ie.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*2+.028*1),ne*.8)),ie.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*1+.028*1),ne*.8).close());var ue=new go.PathFigure(te*(.11+.24133333*2+.028*2),ne*.1,!1);return le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*3+.028*2),ne*.1)),ue.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*3+.028*2),ne*.8)),ue.add(new go.PathSegment(go.PathSegment.Line,te*(.11+.24133333*2+.028*2),ne*.8).close()),le}),go.Shape.defineFigureGenerator("FloppyDisk",function(ce,te,ne){var le=new go.Geometry,oe=8,de=oe*ge,he=new go.PathFigure(oe,0,!1);le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.86,0)),he.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.14)),he.add(new go.PathSegment(go.PathSegment.Line,te,ne-oe)),he.add(new go.PathSegment(go.PathSegment.Bezier,te-oe,ne,te,ne-de,te-de,ne)),he.add(new go.PathSegment(go.PathSegment.Line,oe,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,ne-oe,de,ne,0,ne-de)),he.add(new go.PathSegment(go.PathSegment.Line,0,oe)),he.add(new go.PathSegment(go.PathSegment.Bezier,oe,0,0,de,de,0).close());var ie=new go.PathFigure(te*.83,0,!1);le.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te*.83,ne*.3)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*.3)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*0).close());var ue=new go.PathFigure(te*.83,ne*1,!1);le.add(ue),ue.add(new go.PathSegment(go.PathSegment.Line,te*.83,ne*.5)),ue.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*.5)),ue.add(new go.PathSegment(go.PathSegment.Line,te*.17,ne*1).close());var ve=new go.PathFigure(te*.78,ne*.05,!1);return le.add(ve),ve.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.05)),ve.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.25)),ve.add(new go.PathSegment(go.PathSegment.Line,te*.78,ne*.25).close()),le}),go.Shape.defineFigureGenerator("SpeechBubble",function(ce,te,ne){var le=ce?ce.parameter1:NaN;(isNaN(le)||le<0)&&(le=15),le=Math.min(le,te/3),le=Math.min(le,ne/3);var oe=le*ge,de=ne*.8,he=new go.Geometry,ie=new go.PathFigure(le,0,!0);return he.add(ie),ie.add(new go.PathSegment(go.PathSegment.Line,te-le,0)),ie.add(new go.PathSegment(go.PathSegment.Bezier,te,le,te-oe,0,te,oe)),ie.add(new go.PathSegment(go.PathSegment.Line,te,de-le)),ie.add(new go.PathSegment(go.PathSegment.Bezier,te-le,de,te,de-oe,te-oe,de)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.7,de)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne)),ie.add(new go.PathSegment(go.PathSegment.Line,te*.55,de)),ie.add(new go.PathSegment(go.PathSegment.Line,le,de)),ie.add(new go.PathSegment(go.PathSegment.Bezier,0,de-le,oe,de,0,de-oe)),ie.add(new go.PathSegment(go.PathSegment.Line,0,le)),ie.add(new go.PathSegment(go.PathSegment.Bezier,le,0,0,oe,oe,0).close()),oe>1?(he.spot1=new go.Spot(0,0,oe,oe),he.spot2=new go.Spot(1,.8,-oe,-oe)):(he.spot1=go.Spot.TopLeft,he.spot2=new go.Spot(1,.8)),he}),go.Shape.defineFigureGenerator("Repeat",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*.45,!0);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*.25,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.45)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,ne*.45)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.3,ne*.9)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.6,ne*.9)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.65,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.2,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.2,ne*.45).close());var de=new go.PathFigure(te*1,ne*.55,!0);return le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*.75,ne*1)),de.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.55)),de.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne*.55)),de.add(new go.PathSegment(go.PathSegment.Line,te*.7,ne*.1)),de.add(new go.PathSegment(go.PathSegment.Line,te*.4,ne*.1)),de.add(new go.PathSegment(go.PathSegment.Line,te*.35,ne*0)),de.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),de.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*.55).close()),le}),go.Shape.defineFigureGenerator("Windows",function(ce,te,ne){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,te,0)).add(new go.PathSegment(go.PathSegment.Line,te,ne)).add(new go.PathSegment(go.PathSegment.Line,0,ne).close()).add(new go.PathSegment(go.PathSegment.Move,.4*te,.4*ne)).add(new go.PathSegment(go.PathSegment.Line,.4*te,.8*ne)).add(new go.PathSegment(go.PathSegment.Line,.9*te,.8*ne)).add(new go.PathSegment(go.PathSegment.Line,.9*te,.4*ne).close()).add(new go.PathSegment(go.PathSegment.Move,.2*te,.1*ne)).add(new go.PathSegment(go.PathSegment.Line,.2*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.7*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.7*te,.1*ne).close()).add(new go.PathSegment(go.PathSegment.Move,.1*te,.6*ne)).add(new go.PathSegment(go.PathSegment.Line,.1*te,.9*ne)).add(new go.PathSegment(go.PathSegment.Line,.5*te,.9*ne)).add(new go.PathSegment(go.PathSegment.Line,.5*te,.6*ne).close()))}),go.Shape.defineFigureGenerator("Terminal",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*.1,!1);le.add(oe),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*.9)),oe.add(new go.PathSegment(go.PathSegment.Line,te*0,ne*.9).close());var de=new go.PathFigure(te*.1,ne*.2,!0);le.add(de),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.25)),de.add(new go.PathSegment(go.PathSegment.Line,te*.22,ne*.285)),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.32)),de.add(new go.PathSegment(go.PathSegment.Line,te*.1,ne*.37)),de.add(new go.PathSegment(go.PathSegment.Line,te*.275,ne*.32)),de.add(new go.PathSegment(go.PathSegment.Line,te*.275,ne*.25).close());var he=new go.PathFigure(te*.28,ne*.37,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te*.45,ne*.37)),he.add(new go.PathSegment(go.PathSegment.Line,te*.45,ne*.41)),he.add(new go.PathSegment(go.PathSegment.Line,te*.28,ne*.41).close()),le}),go.Shape.defineFigureGenerator("Beaker",function(ce,te,ne){var le=new go.Geometry,oe=15,de=oe*ge,he=new go.PathFigure(te*.62,ne*.475,!0);return le.add(he),he.add(new go.PathSegment(go.PathSegment.Line,te,ne-oe)),he.add(new go.PathSegment(go.PathSegment.Bezier,te-oe,ne,te,ne-de,te-de,ne)),he.add(new go.PathSegment(go.PathSegment.Line,oe,ne)),he.add(new go.PathSegment(go.PathSegment.Bezier,0,ne-oe,de,ne,0,ne-de)),he.add(new go.PathSegment(go.PathSegment.Line,te*.38,ne*.475)),he.add(new go.PathSegment(go.PathSegment.Line,te*.38,ne*.03)),he.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*0)),he.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*0)),he.add(new go.PathSegment(go.PathSegment.Line,te*.62,ne*.03).close()),de>1?(le.spot1=new go.Spot(0,0,de,de),le.spot2=new go.Spot(1,1,-de,-de)):(le.spot1=go.Spot.TopLeft,le.spot2=go.Spot.BottomRight),le}),go.Shape.defineFigureGenerator("Download",function(ce,te,ne){var le=new go.Geometry,oe=new go.PathFigure(te*0,ne*1,!0);le.add(oe);var de=.1/.3;oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*1)),oe.add(new go.PathSegment(go.PathSegment.Line,te*1,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.8,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*0)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.66,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.755,ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.93,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.64,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.61,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.5,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.39,ne*.75)),oe.add(new go.PathSegment(go.PathSegment.Line,te*.36,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*.07,ne*(1-de))),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.755),ne*.055)),oe.add(new go.PathSegment(go.PathSegment.Line,te*(1-.66),ne*.055)),oe.add(new 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",Me="data:image/png;base64,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",pe="data:image/png;base64,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",ye="data:image/png;base64,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",be="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAgCAYAAAD+Fz2gAAAAAXNSR0IArs4c6QAAEpRJREFUaEPFWwl4VeWZfs/NSthJwmZIwhYQg6wi4ANEdhBUWqWOGwLFGXVYWhyqKJvsoQK1FpECNkjRtkBFBIskhIQga5SwQ4AEyA65SSCQkJB75vm/fzn/OblJsNOZuQ88996z3XO+93+/7/2WGABwN31zmOc+Yg0YMaZhtDJgwDAMtou/G+w7fRHbne/8OBOAaRhw0ZmA6RLXMOlU2lfXy+VhVxHnsyvyf4Bpqne2xTTp1/h2+sjPY9vpvzyXbTc9ME0P7fewd3aoxwS7Y9MjryWOkeeLd3Zdg36Gn8evzz7L3/Xw59aO5/fDrsfvUe5jT0/btHsVT2c9H5Drgme/YfjMChu9IMtg4NyvqEozYDSD4bIAkSAxfGAHibYQcOwfP4fdCsfDgMcbSNLqdYBkCIOQscUDSVi54SUYFkhsOzei3Ob8zAwqDWY3piEA4tetIuNLI+pGZ/fFAeL79WPk4qkdJH5urSARmNxQLphuw3B1M0pOx22BiX/jRHFBgsTtWDeT6HjJNO39/wYkaUwBpwYSX71ixUrGidVv28eYpLEG8MD0MFZIdlpgyOM4e+wgKZZ7A++fYBLZFJ4vjJJTn+UAaMUNLZnBWWEDiX0naOkozh7u97jrc4Bpc3eae1NO7l/GJIsZtPxqZZLl7nS2kbtT7OMurEYmkQvmK90bm2zgO8HSFopYPZoblD7DcucuINcoTttoUtwQxubAMKN7A0m4Oy8gSbD02FU7SBzk2l66u6MIwlwZfzKJBbmu6kwRD+mIS+o4DQBpUAaSsLq4vgBJAVI7k2wur1pMstio4qe4Nw+5Zwt0xmAyDLtHtuiLTmwwpRDgZPDGJE0wSDf2/wCSFX+EiFAxiT8UNzZnlD0myRWvGcLJEq4gFEjcxf0PQBL3Vi1Wae7OJha8CgcPjOIf1psU3ZVacyg0xSQLJMkSy91Z7vB/xd2R4rJetOq8MomBJBSWlH9K1emskmywAr5SV0xxOmOSUm322OMtJj0wk5TS1GJlNZAMAZCQ0DWDxAAQCk8XBAJYm8r7F8ekqspyXD95BMFh7dE49CEulRn5lRo3aeFzvBiTLNktpbYK6jbpzY6UclnGHckgB0jEpPtKYTnVnQQlM+0g/IMaoEW7aCHDpSrzovocwkG6X7u7M2G4U9eRi7PcnJTU1jbar6S2C+Wlxcg6fVTIbBlLpOyW6o+/C6XB5SVt4mIjont/BDRqRnYV3PQak0xPFbbPn4Sw6D7o+9ybikmUfbDVLphkgSRXZE1MsoQEv4QEyS6fhcYnQ9+95cahL1cj6onRaN2ph1gLPP/heRLPp3789nMUZl/G4Envq9zMKf3lYrEpQS/iQS40w318rcnZwSS2MLbT3TkSVHfWZSSsnQtf/wAYLpaWCgdUdx4Ks6oK9yvuYeSMWIRGdKZkNj/9JK6lfc9Z4OUaeRfSUHarCG0fi9GYYyWw7JTwbv3RvH1XGZw0JnHJrMckexIrk9qa3V1lRTl+2BWH66cOo8ugpxHVfxSKc6+ivLTESpg9wK0b2TiX8g0eGfQsgpqEiISUsyiwQWM0DG5tk+82sARIBLYAnj2hUXhsjQJIqjcSEQIUxS7GIcpEDTCA9n06D4OnzENo24e5XRlQmvS251FsAXCD3sw4iz0fz8aIGbFoHtGZzjmb9DVS/74ezdt3Eb6qLqStagM7oeDyWfR+djK6DHoGLD7xJV6dSXaQvMUky9VJtyXPYddLP7IHJ7/7C7qNeAEFGeeQezFNi4y1fwyP7ovowc95T3JtEl8wUrKz8OgaU5ZyDMPHxqRqIAnQCrMuIfHTBQRQSGRnFF67yA0iy0EyTxKUIJB9fBAa+TAKrpzBd394DyOmx9K5jH/nkncg9es/4aWVX1kE+gl50qaZz6LX2NcIIOnLrXcrma0Wk/SgrIxUnUkU78T+vMunEBLeES6Xj8qDziV9jcwTBzBk8lz4BQZxW3iqUHwjG41CH6pemXDIcG/uTjLJuHnkY1O6Ke7ZLJBMrf4mmcTemZ9lAD35yzkIbdsF2+ZPQFVlRa1LyK9eEMYv2oIbAqCR02MRHNGJ3OqlQ3tweu9fMW7+RmSfOSaiVV0sIggQ3qUPti6YhOjhv0BU3+FWrNMZpHw8eXZZQ9Jqdrqw0IWDCO6eKlSW3YVfYH0BlFW3K8q5gqRNseg+8iW06doPsnSU+WMyTiVuwxPjp6JJq8gaQaotJlEeyAByFkGdMcnJJDcDaN0HiPnl+wiN7IL7FWVcRAiFd2BTLH0eOPE3vFzEvrhc8A+sjxsZ5xSDmkd0orSM/T4VWA1g88xxFKce9PXq6p0KFKnuVL1LXIQXSplRRX2VgSRUhRXEawbpxO7PkXcxDQNe/i8VW0yzCvfu3EJS3HLUbxqKfuPf4nmux0PxzlNVhUNbP0apuwADXn4bAfUa/ASQrOTbuHH49zxRlXFElGxqA4kBtP+PCxEz+X2EtO2sCqbyOokbFtL1Br8+z14Vh4EbGeexd817GDFtOUIjOxF8EiR2F1X37ymhUFbsxpl923H5aAIiewxAz2cmwb9ePRt2Pn6BtGqlSqSUVeRJii3kUqzqMieRN5CsarMuwUuLCnBw80pU3C3FwJdnolHzNrh7qxApf16J24V5JBwYIOWlt3Cv7DYq7twm8JiIqLxXjpYdHsVjT0+qXr/TKx0eDgpPjkX1nD1LwaGPbDLbJgps6s4Ac3lsfxEDaP0ixEx+j+IIe/iqikoFRsrnK+jzgAmzVKvC1z8QLh9fYtDeNXMIoJCITqreJ1sR90oKce3sUVw/eRh56SdRv3Ewyu/cwth3/4AGzVrYwMk+l4q0XZvR/alXECblL4B7ZaW0ir0xSbYdFEhKNcnCqlXt9gsMVLGnovwuUuJicbswFyPeWopS9w0kxS1DQFBDBNRvAH/2HtQA/vUawp99D6yPekENcaf4Jk7t24beYycSUCo2OguuMkezlZY8MPK//50CyOr96NUES4LLmFSUfQVJGxYhZtJsBEd2Rs75VBza8rtavdKAV99GWHRfUnF7P5mLEdOWISSCsY+7tgspu3HleCIKr6WTfI/oOQAd+41ESGQU/rHqbVKJDFS2vLLOHseF5G9IRbXtNQjdRr2IRiGtRU0LiJsx9kE9ZI3HMVHz/AebuWsURmPA5144gXAWa0wTnvuVqCwvg29APUZbilMuXx8YLl9U3a+kuOzvXw/ph/cg/NH+8AsIUn0pZ0tDrwnKRUQlq/yDq1UM0hNWi0myaMrzJLbS3TmXkbxhMQZNfJcYVFF2B6VF+cLYBk7sjKMH7/H0JJTeyEZgwyYIDo9CQP2GxKD4T+Zi+LSlCA1nMpvHqMtH40m6tnm0H1pGdYefnz9KbuYg9asNyDn/AzGyeduHUZRzldxHq07d0ftnU9CkVYQyMmkaj4lLR/byPNOWVvEYI1klsg2ZTKkquPAz1JGJ7DlQ9ZG8tR/yL55EypaVGD39twhs2BjbF03BI4N/ho6PD8Olowk4n/IN7dOluox58nr21gVPnGXDjxLxgpTVpikitK7UpHDgcYWzSDKsMOcKkjcuxsDX3iGAnMAmbVxCpmEqL+HTuWjUPAx9fv4fZJ2bmec5QFOXcBcnGn5CYZABSwpzcTFlNy6k7ELzdl3Q5/k3cDZ+G66k7ke/F6Yi4/h+YlnMlDnVGCBB4hrPKgvp7k7vdMqWrfeYpJVoYBJbkj5bgu6jX0HTh9rhWtpBHNu+DuPe+QQuvwBsWzgJjwxhAA2nBXf+wDcYNeNDq9qgyXXVoXX0nfSaIDX4Cg6sIgZ5KM/krq1mJnGQ3ExafrYEAxhAFEfs5yR/tpQMFzN5Dpg7jF/7PkZOi0XjlhG4mXkO8WvnYdh/LkFoRJRgkAt3igpw9UQKrqYdhDvrCimjHmNeRduegyimHPryI4pL45dsRmnRTexeMQPDpy9Di/bR1d2UCbhkAOY1Bb6KeQCwqgy21nltwoELjMwfknF021o8NXMV6jUORrpMD2avo/0MoOihPyeALh2Jx/mUnRg9Y6VSb1ZX1l7703tI6jMTDeTikleqdoNHiIDaQTJQlJOBpD8tJYAqy+8iP51l1FJmAzkXTpDRWnfuSVuL86+jSYtwtO7cg4JpwqcMoMUIZXkQQGpnx5I3KM5EdOuPtr2fRKv20fC4fJBxPBGpOzZQYsjKPcOmLkGLDl2RtH4RfR81c6X3OOIASao7EaU1sIRLUe1mrXcjmn8cVw8S139AKA+aNJuM/uOuOOSnn8KIqbE037B1wURED32e8rH0I9/h/IGdeOpXq2zq7UFBUpWM/OQPiUFiKkQptdpAYgAlxy3DgAm/wd2SQlw/dcjKd2TU1yKDLApEdHuClFjCuvkY+tYiARBnH5PuTVq0AVN7TDQX52Qg9euNyL98Bp0HjEH3US/iy9kvkrvr2H8kMXNX7HQ8OvIFdBv98gOB5GSSnVF6408wTevO3nEXYOeKqXhs3Oto22sgGT3+kzloGNIKjzH3zRg0/zUCqFO/UUg/8g+cS96JMb9eBVbLK7hylthOocLW+fUy46BVGoy8pN+KPMiqYjN353K2F8iN8ZqaOycTB+KWY+Ars9AsklcD2MtFhVMuxS1FyIupchtzcQnrFmDomwwg7uL4fqDizi1k/piCK6mJcGdlUEnl8effRJOw9vBUVuCLWc+h/0sz0K7PEPqd8/t34Pjf15PfZzmS15eDSapGp9ydlNc6k7R6ngDpVPxfcS5pB56ZvZYWUUnedez5+F30HDOBGM9e2+ZNQNdh4xHVdyQxiJWwxsxcjfLbRfj2o3cw+PW5aNC0hYpJukCoqY9k5OxfYbJ2t2o3MKfkEjlPDTGpKDcDB+JWoOvQ8Wjcoo1q9nF0LIBki0IHoTjvOk7s2oShby5ESDjPg4pyM3F679+QLdRam+jH0aHPULSM6gbD5UNusuDaBexZPQtD/n0BWnXpqbA4ufvPOLnnS3QZPA69np1cA0gmXFp9VUlauVIVWPbJH9lyYMpq5/KpCG7TAX1/MQ2sBcI8CHuW0b9aCZevLxl967wJiB42Hp37jcLFw3sIoLFvf0TPl7hhMUa8tRiBDZtao1faSFe1IRQRQ43sxFhikASJsYSeRTbjZOtBY4Y7NxMpm1Z4N8YDbh3yxkKEhnMGlZWwrPxDqhYwURBQvxEhXZJ3FbfdBbhbfBMXU3ahrLQYzy3YBB9fPzVzx34u9av1FJfadO1b86+bFkhcTFldWjKODST6IgwJ5F86TW45ZuI7aBnVg4QCy9n6vTANbDHJKsXWua9STZC5uOwzR3F46xq06xVD7ptVHMb+ejWVvJwNP+c4l84mI2ffchoa0UFSjTYNJFUOMgwU513F91tWU4m/aet24nAXH0xUvSPeguD1VtGKYK2K7Awc/svv8eSUuQgO66C5QvukEPu9y8cScGz7HxHUOBhNWoZTxaBRy3B+TWZCMRgpiKtcbU0oPfjMnd3dlRbm48LBb9Fj9EtUTL5wcDfdQcd+I0SLnR+fumM9Wj/cGy3ad0VVxT2cjv8b3NmX4OPrjzZdHweLwd7cmtU610pSotJgZO9bTgyipE4Dqi6Q9KoD5UlsiISxzxZ/LKNTOVTJcStWyZglWx7Vp1c5wOz+GMvlpNA/CxIzkHR3P5VJqvKstwu8zNxxBvCaoL2VwAYj5WSqVVKSXVkneMTy7IRlqpIgQbLFJKnw9AYet6pNCHBwuSCglV2t4SeZ5GW+QU6vEsiWaJCLROZnTpBkBVzW8VSDoq4RYw0k+ziXMFot7s4rSNp0kXNWTu8lceBYzd1LS0O2zh2gGlnxS3MMw2glDUqzWKQTrPk42YizVxecak0ApFrn3kCqDqpikGAwTQrx/oQqpPJyED/XG5PU/dUx32BzfTaQeBlIzZRXGzHWJLheDRBAqphBwcTZ8HMySR9DlpVrHu/kbIOoO7FtuUZ2wtItJo3+WgaVA/CWXOYxROZLthxJjzEEqo8YehTD8rW0zi3WcbBVy9w51Sp/Q7x7B8kahCQXRnXDOhTLT2KSGDZxNPw4RpagMFFVQ5yxurK8zCOBtMBXIAkWwcQXRlbi8jBUmWmA2UxJbQEWOSzbpKkXo3Or2oI978ry7d66spT3iPmGauNc+oixw91ZQkXEM6q1WQ0/LlI4KAwk+du1wVTz9KoI2OyC2kAkXUvEGI/o4eilGnKBNbowO0jWX0nYQRIxyR2IwG70OAwkw+OJNU3ESHcn2WKBZGeRPcZwHSUng2RCy9lUB0jKfWnCQTJIV4TaaLJo0Ypx5dpBehAm1Q6SHD4RpVfHHAOXyPa/qqgLJOtPWSSTtPwLyIXp2R9Y5T8rqO+UrP8Gpjgw8TngMx8AAAAASUVORK5CYII=",ce="data:image/png;base64,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",te="data:image/png;base64,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",ne="data:image/png;base64,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",le="data:image/png;base64,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",oe="data:image/png;base64,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",de="data:image/png;base64,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",he="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/y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",mn="data:image/png;base64,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",Ot="data:image/png;base64,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",xt="data:image/png;base64,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",bt="data:image/png;base64,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",Yt="data:image/png;base64,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in E?cn(E,a,{enumerable:!0,configurable:!0,writable:!0,value:y}):E[a]=y,rr=(E,a)=>{for(var y in a||(a={}))Zn.call(a,y)&&er(E,y,a[y]);if(dn)for(var y of dn(a))Mn.call(a,y)&&er(E,y,a[y]);return E};const mr=()=>`shadow-${Math.random().toString(36).slice(2,9)}`;var tn=({percentage:E,startAngle:a=270,strokeColor:y="#42BECD",trackColor:x="#e6e6e6",innerBackgroundColor:b="#fff",text:z="",textColor:ee="#000",textSize:re="1rem",textPadding:ae="28rem",outerDiameter:se,innerDiameter:fe,maxTextLength:me=6,onClick:Ae,hoverEffect:Te=!0,style:Fe})=>{const[Ue,je]=(0,Re.useState)(0),[Ke,Ze]=(0,Re.useState)(0),[Je,tt]=(0,Re.useState)(!1),at=Pn=>{var or,xn;const yr=parseFloat(Pn),na=parseFloat((xn=(or=document.documentElement)==null?void 0:or.style)==null?void 0:xn.fontSize);return yr*na},st=()=>{je(at(se)),Ze(at(fe))};(0,Re.useEffect)(()=>(st(),window.addEventListener("resize",st),()=>window.removeEventListener("resize",st)),[se,fe]);const 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",Hn="data:image/png;base64,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",fr="data:image/png;base64,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",tr="data:image/png;base64,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",hr="data:image/png;base64,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",Wf="data:image/png;base64,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Ue>0?(je=Math.sqrt(Ue+1)*2,E[3]=.25*je,E[0]=(me-Te)/je,E[1]=(Ae-ae)/je,E[2]=(re-se)/je):ee>fe&&ee>Fe?(je=Math.sqrt(1+ee-fe-Fe)*2,E[3]=(me-Te)/je,E[0]=.25*je,E[1]=(re+se)/je,E[2]=(Ae+ae)/je):fe>Fe?(je=Math.sqrt(1+fe-ee-Fe)*2,E[3]=(Ae-ae)/je,E[0]=(re+se)/je,E[1]=.25*je,E[2]=(me+Te)/je):(je=Math.sqrt(1+Fe-ee-fe)*2,E[3]=(re-se)/je,E[0]=(Ae+ae)/je,E[1]=(me+Te)/je,E[2]=.25*je),E}function mL(E,a,y,x){var b=a[0],z=a[1],ee=a[2],re=a[3],ae=b+b,se=z+z,fe=ee+ee,me=b*ae,Ae=b*se,Te=b*fe,Fe=z*se,Ue=z*fe,je=ee*fe,Ke=re*ae,Ze=re*se,Je=re*fe,tt=x[0],at=x[1],st=x[2];return E[0]=(1-(Fe+je))*tt,E[1]=(Ae+Je)*tt,E[2]=(Te-Ze)*tt,E[3]=0,E[4]=(Ae-Je)*at,E[5]=(1-(me+je))*at,E[6]=(Ue+Ke)*at,E[7]=0,E[8]=(Te+Ze)*st,E[9]=(Ue-Ke)*st,E[10]=(1-(me+Fe))*st,E[11]=0,E[12]=y[0],E[13]=y[1],E[14]=y[2],E[15]=1,E}function j0(E,a,y,x,b){var 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E[0]=z*2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z*2*ae,E[6]=0,E[7]=0,E[8]=(y+a)*re,E[9]=(b+x)*ae,E[10]=(ee+z)*se,E[11]=-1,E[12]=0,E[13]=0,E[14]=ee*z*2*se,E[15]=0,E}function XS(E,a,y,x,b){var z=1/Math.tan(a/2),ee;return E[0]=z/y,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[11]=-1,E[12]=0,E[13]=0,E[15]=0,b!=null&&b!==1/0?(ee=1/(x-b),E[10]=(b+x)*ee,E[14]=2*b*x*ee):(E[10]=-1,E[14]=-2*x),E}var yL=XS;function EL(E,a,y,x,b){var z=1/Math.tan(a/2),ee;return E[0]=z/y,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[11]=-1,E[12]=0,E[13]=0,E[15]=0,b!=null&&b!==1/0?(ee=1/(x-b),E[10]=b*ee,E[14]=b*x*ee):(E[10]=-1,E[14]=-x),E}function AL(E,a,y,x){var b=Math.tan(a.upDegrees*Math.PI/180),z=Math.tan(a.downDegrees*Math.PI/180),ee=Math.tan(a.leftDegrees*Math.PI/180),re=Math.tan(a.rightDegrees*Math.PI/180),ae=2/(ee+re),se=2/(b+z);return E[0]=ae,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=se,E[6]=0,E[7]=0,E[8]=-((ee-re)*ae*.5),E[9]=(b-z)*se*.5,E[10]=x/(y-x),E[11]=-1,E[12]=0,E[13]=0,E[14]=x*y/(y-x),E[15]=0,E}function JS(E,a,y,x,b,z,ee){var re=1/(a-y),ae=1/(x-b),se=1/(z-ee);return E[0]=-2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=-2*ae,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=2*se,E[11]=0,E[12]=(a+y)*re,E[13]=(b+x)*ae,E[14]=(ee+z)*se,E[15]=1,E}var qS=JS;function $S(E,a,y,x,b,z,ee){var re=1/(a-y),ae=1/(x-b),se=1/(z-ee);return E[0]=-2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=-2*ae,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=se,E[11]=0,E[12]=(a+y)*re,E[13]=(b+x)*ae,E[14]=z*se,E[15]=1,E}function Sb(E,a,y,x){var b,z,ee,re,ae,se,fe,me,Ae,Te,Fe=a[0],Ue=a[1],je=a[2],Ke=x[0],Ze=x[1],Je=x[2],tt=y[0],at=y[1],st=y[2];return Math.abs(Fe-tt)0&&(Te=1/Math.sqrt(Te),fe*=Te,me*=Te,Ae*=Te);var Fe=ae*Ae-se*me,Ue=se*fe-re*Ae,je=re*me-ae*fe;return 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E[0]===a[0]&&E[1]===a[1]&&E[2]===a[2]&&E[3]===a[3]&&E[4]===a[4]&&E[5]===a[5]&&E[6]===a[6]&&E[7]===a[7]&&E[8]===a[8]&&E[9]===a[9]&&E[10]===a[10]&&E[11]===a[11]&&E[12]===a[12]&&E[13]===a[13]&&E[14]===a[14]&&E[15]===a[15]}function ML(E,a){var y=E[0],x=E[1],b=E[2],z=E[3],ee=E[4],re=E[5],ae=E[6],se=E[7],fe=E[8],me=E[9],Ae=E[10],Te=E[11],Fe=E[12],Ue=E[13],je=E[14],Ke=E[15],Ze=a[0],Je=a[1],tt=a[2],at=a[3],st=a[4],ft=a[5],lt=a[6],wt=a[7],Bt=a[8],Vt=a[9],Xt=a[10],vn=a[11],on=a[12],wn=a[13],qn=a[14],yn=a[15];return 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0&&(this.view.enabled=!1),this.projectionMode===rd.PERSPECTIVE?this.setPerspective(this.near,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far),this}},{key:"setZoom",value:function(y){return this.zoom=y,this.projectionMode===rd.ORTHOGRAPHIC?this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far):this.projectionMode===rd.PERSPECTIVE&&this.setPerspective(this.near,this.far,this.fov,this.aspect),this}},{key:"setZoomByViewportPoint",value:function(y,x){var b=this.canvas.viewport2Canvas({x:x[0],y:x[1]}),z=b.x,ee=b.y,re=this.roll;this.rotate(0,0,-re),this.setPosition(z,ee),this.setFocalPoint(z,ee),this.setZoom(y),this.rotate(0,0,re);var ae=this.canvas.viewport2Canvas({x:x[0],y:x[1]}),se=ae.x,fe=ae.y,me=qi(se-z,fe-ee,0),Ae=qu(me,this.right)/Io(this.right),Te=qu(me,this.up)/Io(this.up),Fe=this.getPosition(),Ue=(0,Wn.Z)(Fe,2),je=Ue[0],Ke=Ue[1],Ze=this.getFocalPoint(),Je=(0,Wn.Z)(Ze,2),tt=Je[0],at=Je[1];return this.setPosition(je-Ae,Ke-Te),this.setFocalPoint(tt-Ae,at-Te),this}},{key:"setPerspective",value:function(y,x,b,z){var ee;this.projectionMode=rd.PERSPECTIVE,this.fov=b,this.near=y,this.far=x,this.aspect=z;var re=this.near*Math.tan(Ys(.5*this.fov))/this.zoom,ae=2*re,se=this.aspect*ae,fe=-.5*se;if((ee=this.view)!==null&&ee!==void 0&&ee.enabled){var me=this.view.fullWidth,Ae=this.view.fullHeight;fe+=this.view.offsetX*se/me,re-=this.view.offsetY*ae/Ae,se*=this.view.width/me,ae*=this.view.height/Ae}return lT(this.projectionMatrix,fe,fe+se,re-ae,re,y,this.far,this.clipSpaceNearZ===Am.ZERO),Uu(this.projectionMatrixInverse,this.projectionMatrix),this.triggerUpdate(),this}},{key:"setOrthographic",value:function(y,x,b,z,ee,re){var ae;this.projectionMode=rd.ORTHOGRAPHIC,this.rright=x,this.left=y,this.top=b,this.bottom=z,this.near=ee,this.far=re;var se=(this.rright-this.left)/(2*this.zoom),fe=(this.top-this.bottom)/(2*this.zoom),me=(this.rright+this.left)/2,Ae=(this.top+this.bottom)/2,Te=me-se,Fe=me+se,Ue=Ae+fe,je=Ae-fe;if((ae=this.view)!==null&&ae!==void 0&&ae.enabled){var Ke=(this.rright-this.left)/this.view.fullWidth/this.zoom,Ze=(this.top-this.bottom)/this.view.fullHeight/this.zoom;Te+=Ke*this.view.offsetX,Fe=Te+Ke*this.view.width,Ue-=Ze*this.view.offsetY,je=Ue-Ze*this.view.height}return 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b=this.parsedStyle,z=b.markerStart,ee=b.markerEnd,re=b.markerStartOffset,ae=b.markerEndOffset,se=b.points,fe=se||{},me=fe.points,Ae=x?z:ee;if(!(!Ae||!Os(Ae)||!me)){var Te=0,Fe,Ue,je,Ke,Ze,Je;if(je=me[0][0],Ke=me[0][1],x)Fe=me[1][0]-me[0][0],Ue=me[1][1]-me[0][1],Ze=re||0,Je=this.markerStartAngle;else{var tt=me.length;this.parsedStyle.isClosed?(Fe=me[tt-1][0]-me[0][0],Ue=me[tt-1][1]-me[0][1]):(je=me[tt-1][0],Ke=me[tt-1][1],Fe=me[tt-2][0]-me[tt-1][0],Ue=me[tt-2][1]-me[tt-1][1]),Ze=ae||0,Je=this.markerEndAngle}Te=Math.atan2(Ue,Fe),Ae.setLocalEulerAngles(Te*180/Math.PI+Je),Ae.setLocalPosition(je+Math.cos(Te)*Ze,Ke+Math.sin(Te)*Ze)}}},{key:"placeMarkerMid",value:function(x){var b=this.parsedStyle.points,z=b||{},ee=z.points;if(this.markerMidList.forEach(function(me){me.remove()}),this.markerMidList=[],x&&Os(x)&&ee)for(var re=1;re<(this.parsedStyle.isClosed?ee.length:ee.length-1);re++){var ae=ee[re][0],se=ee[re][1],fe=re===1?x:x.cloneNode(!0);this.markerMidList.push(fe),this.appendChild(fe),fe.setLocalPosition(ae,se)}}}])}(ul);cg.PARSED_STYLE_LIST=new Set([].concat((0,va.Z)(ul.PARSED_STYLE_LIST),["points","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isClosed","isBillboard","isSizeAttenuation"]));var yN=["style"],Um=function(E){function a(){var y=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},x=y.style,b=(0,eg.Z)(y,yN);return(0,Ar.Z)(this,a),Tr(this,a,[(0,Cr.Z)({type:la.POLYLINE,style:x,initialParsedStyle:{points:{points:[],totalLength:0,segments:[]},miterLimit:4,isClosed:!1}},b)])}return(0,da.Z)(a,E),(0,$n.Z)(a,[{key:"getTotalLength",value:function(){return sB(this)}},{key:"getPointAtLength",value:function(x){var b=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;return this.getPoint(x/this.getTotalLength(),b)}},{key:"getPoint",value:function(x){var b=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,z=this.parsedStyle.points.points;if(this.parsedStyle.points.segments.length===0){var ee=[],re=0,ae,se,fe=this.getTotalLength();z.forEach(function(Ke,Ze){z[Ze+1]&&(ae=[0,0],ae[0]=re/fe,se=iC(Ke[0],Ke[1],z[Ze+1][0],z[Ze+1][1]),re+=se,ae[1]=re/fe,ee.push(ae))}),this.parsedStyle.points.segments=ee}var me=0,Ae=0;this.parsedStyle.points.segments.forEach(function(Ke,Ze){x>=Ke[0]&&x<=Ke[1]&&(me=(x-Ke[0])/(Ke[1]-Ke[0]),Ae=Ze)});var Te=$d(z[Ae][0],z[Ae][1],z[Ae+1][0],z[Ae+1][1],me),Fe=Te.x,Ue=Te.y,je=ll(ni(),qi(Fe,Ue,0),b?this.getWorldTransform():this.getLocalTransform());return new Mu(je[0],je[1])}},{key:"getStartTangent",value:function(){var x=this.parsedStyle.points.points,b=[];return b.push([x[1][0],x[1][1]]),b.push([x[0][0],x[0][1]]),b}},{key:"getEndTangent",value:function(){var x=this.parsedStyle.points.points,b=x.length-1,z=[];return z.push([x[b-1][0],x[b-1][1]]),z.push([x[b][0],x[b][1]]),z}}])}(cg);Um.PARSED_STYLE_LIST=new Set([].concat((0,va.Z)(cg.PARSED_STYLE_LIST),["points","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isBillboard"]));var Du=function(E){function a(){var y=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};return(0,Ar.Z)(this,a),Tr(this,a,[(0,Cr.Z)({type:la.RECT},y)])}return(0,da.Z)(a,E),(0,$n.Z)(a)}(ul);Du.PARSED_STYLE_LIST=new Set([].concat((0,va.Z)(ul.PARSED_STYLE_LIST),["x","y","z","width","height","isBillboard","isSizeAttenuation","radius"]));var EN=["style"],dg=function(E){function a(){var y=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},x=y.style,b=(0,eg.Z)(y,EN);return(0,Ar.Z)(this,a),Tr(this,a,[(0,Cr.Z)({type:la.TEXT,style:(0,Cr.Z)({fill:"black"},x)},b)])}return(0,da.Z)(a,E),(0,$n.Z)(a,[{key:"getComputedTextLength",value:function(){var x;return this.getGeometryBounds(),((x=this.parsedStyle.metrics)===null||x===void 0?void 0:x.maxLineWidth)||0}},{key:"getLineBoundingRects",value:function(){var x;return this.getGeometryBounds(),((x=this.parsedStyle.metrics)===null||x===void 0?void 0:x.lineMetrics)||[]}},{key:"isOverflowing",value:function(){return this.getGeometryBounds(),!!this.parsedStyle.isOverflowing}}])}(ul);dg.PARSED_STYLE_LIST=new Set([].concat((0,va.Z)(ul.PARSED_STYLE_LIST),["x","y","z","isBillboard","billboardRotation","isSizeAttenuation","text","textAlign","textBaseline","fontStyle","fontSize","fontFamily","fontWeight","fontVariant","lineHeight","letterSpacing","leading","wordWrap","wordWrapWidth","maxLines","textOverflow","isOverflowing","textPath","textDecorationLine","textDecorationColor","textDecorationStyle","textPathSide","textPathStartOffset","metrics","dx","dy"]));var AN=function(){function E(){(0,Ar.Z)(this,E),this.registry={},this.define(la.CIRCLE,wf),this.define(la.ELLIPSE,rv),this.define(la.RECT,Du),this.define(la.IMAGE,iv),this.define(la.LINE,ug),this.define(la.GROUP,lu),this.define(la.PATH,Rc),this.define(la.POLYGON,cg),this.define(la.POLYLINE,Um),this.define(la.TEXT,dg),this.define(la.HTML,av)}return(0,$n.Z)(E,[{key:"define",value:function(y,x){this.registry[y]=x}},{key:"get",value:function(y){return this.registry[y]}}])}(),EX={number:function(a){return new Js(a)},percent:function(a){return new Js(a,"%")},px:function(a){return new Js(a,"px")},em:function(a){return new Js(a,"em")},rem:function(a){return new Js(a,"rem")},deg:function(a){return new Js(a,"deg")},grad:function(a){return new Js(a,"grad")},rad:function(a){return new Js(a,"rad")},turn:function(a){return new Js(a,"turn")},s:function(a){return new Js(a,"s")},ms:function(a){return new Js(a,"ms")},registerProperty:function(a){var y=a.name,x=a.inherits,b=a.interpolable,z=a.initialValue,ee=a.syntax;Ga.styleValueRegistry.registerMetadata({n:y,inh:x,int:b,d:z,syntax:ee})},registerLayout:function(a,y){Ga.layoutRegistry.registerLayout(a,y)}},wP=function(E){function a(){var y;(0,Ar.Z)(this,a),y=Tr(this,a),y.defaultView=null,y.ownerDocument=null,y.nodeName="document";try{y.timeline=new Ga.AnimationTimeline(y)}catch(b){}var x={};return NE.forEach(function(b){var z=b.n,ee=b.inh,re=b.d;ee&&re&&(x[z]=Gi(re)?re(la.GROUP):re)}),y.documentElement=new lu({id:"g-root",style:x}),y.documentElement.ownerDocument=y,y.documentElement.parentNode=y,y.childNodes=[y.documentElement],y}return(0,da.Z)(a,E),(0,$n.Z)(a,[{key:"children",get:function(){return this.childNodes}},{key:"childElementCount",get:function(){return this.childNodes.length}},{key:"firstElementChild",get:function(){return this.firstChild}},{key:"lastElementChild",get:function(){return this.lastChild}},{key:"createElement",value:function(x,b){if(x==="svg")return this.documentElement;var z=this.defaultView.customElements.get(x);z||(console.warn("Unsupported tagName: ",x),z=x==="tspan"?dg:lu);var ee=new z(b);return ee.ownerDocument=this,ee}},{key:"createElementNS",value:function(x,b,z){return this.createElement(b,z)}},{key:"cloneNode",value:function(x){throw new Error(Qs)}},{key:"destroy",value:function(){try{this.documentElement.destroyChildren(),this.timeline.destroy()}catch(x){}}},{key:"elementsFromBBox",value:function(x,b,z,ee){var re=this.defaultView.context.rBushRoot,ae=re.search({minX:x,minY:b,maxX:z,maxY:ee}),se=[];return ae.forEach(function(fe){var me=fe.displayObject,Ae=me.parsedStyle.pointerEvents,Te=Ae===void 0?"auto":Ae,Fe=["auto","visiblepainted","visiblefill","visiblestroke","visible"].includes(Te);(!Fe||Fe&&me.isVisible())&&!me.isCulled()&&me.isInteractive()&&se.push(me)}),se.sort(function(fe,me){return me.sortable.renderOrder-fe.sortable.renderOrder}),se}},{key:"elementFromPointSync",value:function(x,b){var z=this.defaultView.canvas2Viewport({x,y:b}),ee=z.x,re=z.y,ae=this.defaultView.getConfig(),se=ae.width,fe=ae.height;if(ee<0||re<0||ee>se||re>fe)return null;var me=this.defaultView.viewport2Client({x:ee,y:re}),Ae=me.x,Te=me.y,Fe=this.defaultView.getRenderingService().hooks.pickSync.call({topmost:!0,position:{x,y:b,viewportX:ee,viewportY:re,clientX:Ae,clientY:Te},picked:[]}),Ue=Fe.picked;return Ue&&Ue[0]||this.documentElement}},{key:"elementFromPoint",value:function(){var y=(0,th.Z)((0,Gu.Z)().mark(function b(z,ee){var re,ae,se,fe,me,Ae,Te,Fe,Ue,je,Ke;return(0,Gu.Z)().wrap(function(Je){for(;;)switch(Je.prev=Je.next){case 0:if(re=this.defaultView.canvas2Viewport({x:z,y:ee}),ae=re.x,se=re.y,fe=this.defaultView.getConfig(),me=fe.width,Ae=fe.height,!(ae<0||se<0||ae>me||se>Ae)){Je.next=4;break}return Je.abrupt("return",null);case 4:return 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y=(0,th.Z)((0,Gu.Z)().mark(function b(z,ee){var re,ae,se,fe,me,Ae,Te,Fe,Ue,je,Ke;return(0,Gu.Z)().wrap(function(Je){for(;;)switch(Je.prev=Je.next){case 0:if(re=this.defaultView.canvas2Viewport({x:z,y:ee}),ae=re.x,se=re.y,fe=this.defaultView.getConfig(),me=fe.width,Ae=fe.height,!(ae<0||se<0||ae>me||se>Ae)){Je.next=4;break}return Je.abrupt("return",[]);case 4:return Te=this.defaultView.viewport2Client({x:ae,y:se}),Fe=Te.x,Ue=Te.y,Je.next=7,this.defaultView.getRenderingService().hooks.pick.promise({topmost:!1,position:{x:z,y:ee,viewportX:ae,viewportY:se,clientX:Fe,clientY:Ue},picked:[]});case 7:return je=Je.sent,Ke=je.picked,Ke[Ke.length-1]!==this.documentElement&&Ke.push(this.documentElement),Je.abrupt("return",Ke);case 11:case"end":return Je.stop()}},b,this)}));function x(b,z){return y.apply(this,arguments)}return x}()},{key:"appendChild",value:function(x,b){throw new Error(t0)}},{key:"insertBefore",value:function(x,b){throw new Error(t0)}},{key:"removeChild",value:function(x,b){throw new Error(t0)}},{key:"replaceChild",value:function(x,b,z){throw new Error(t0)}},{key:"append",value:function(){throw new Error(t0)}},{key:"prepend",value:function(){throw new Error(t0)}},{key:"getElementById",value:function(x){return this.documentElement.getElementById(x)}},{key:"getElementsByName",value:function(x){return this.documentElement.getElementsByName(x)}},{key:"getElementsByTagName",value:function(x){return this.documentElement.getElementsByTagName(x)}},{key:"getElementsByClassName",value:function(x){return this.documentElement.getElementsByClassName(x)}},{key:"querySelector",value:function(x){return this.documentElement.querySelector(x)}},{key:"querySelectorAll",value:function(x){return this.documentElement.querySelectorAll(x)}},{key:"find",value:function(x){return this.documentElement.find(x)}},{key:"findAll",value:function(x){return this.documentElement.findAll(x)}}])}(yl),MP=function(){function E(a){(0,Ar.Z)(this,E),this.strategies=a}return(0,$n.Z)(E,[{key:"apply",value:function(y){var x=y.camera,b=y.renderingService,z=y.renderingContext,ee=this.strategies;b.hooks.cull.tap(E.tag,function(re){if(re){var ae=re.cullable;return ee.length===0?ae.visible=z.unculledEntities.indexOf(re.entity)>-1:ae.visible=ee.every(function(se){return se.isVisible(x,re)}),!re.isCulled()&&re.isVisible()?re:(re.dispatchEvent(new $l(is.CULLED)),null)}return re}),b.hooks.afterRender.tap(E.tag,function(re){re.cullable.visibilityPlaneMask=-1})}}])}();MP.tag="Culling";var DP=function(){function E(){var a=this;(0,Ar.Z)(this,E),this.autoPreventDefault=!1,this.rootPointerEvent=new _m(null),this.rootWheelEvent=new jE(null),this.onPointerMove=function(y){var x,b=(x=a.context.renderingContext.root)===null||x===void 0||(x=x.ownerDocument)===null||x===void 0?void 0:x.defaultView;if(!(b.supportsTouchEvents&&y.pointerType==="touch")){var z=a.normalizeToPointerEvent(y,b),ee=$h(z),re;try{for(ee.s();!(re=ee.n()).done;){var ae=re.value,se=a.bootstrapEvent(a.rootPointerEvent,ae,b,y);a.context.eventService.mapEvent(se)}}catch(fe){ee.e(fe)}finally{ee.f()}a.setCursor(a.context.eventService.cursor)}},this.onClick=function(y){var x,b=(x=a.context.renderingContext.root)===null||x===void 0||(x=x.ownerDocument)===null||x===void 0?void 0:x.defaultView,z=a.normalizeToPointerEvent(y,b),ee=$h(z),re;try{for(ee.s();!(re=ee.n()).done;){var ae=re.value,se=a.bootstrapEvent(a.rootPointerEvent,ae,b,y);a.context.eventService.mapEvent(se)}}catch(fe){ee.e(fe)}finally{ee.f()}a.setCursor(a.context.eventService.cursor)}}return(0,$n.Z)(E,[{key:"apply",value:function(y){var x=this;this.context=y;var b=y.renderingService,z=this.context.renderingContext.root.ownerDocument.defaultView;this.context.eventService.setPickHandler(function(ee){var re=x.context.renderingService.hooks.pickSync.call({position:ee,picked:[],topmost:!0}),ae=re.picked;return ae[0]||null}),b.hooks.pointerWheel.tap(E.tag,function(ee){var re=x.normalizeWheelEvent(ee);x.context.eventService.mapEvent(re)}),b.hooks.pointerDown.tap(E.tag,function(ee){if(!(z.supportsTouchEvents&&ee.pointerType==="touch")){var re=x.normalizeToPointerEvent(ee,z);if(x.autoPreventDefault&&re[0].isNormalized){var ae=ee.cancelable||!("cancelable"in ee);ae&&ee.preventDefault()}var se=$h(re),fe;try{for(se.s();!(fe=se.n()).done;){var me=fe.value,Ae=x.bootstrapEvent(x.rootPointerEvent,me,z,ee);x.context.eventService.mapEvent(Ae)}}catch(Te){se.e(Te)}finally{se.f()}x.setCursor(x.context.eventService.cursor)}}),b.hooks.pointerUp.tap(E.tag,function(ee){if(!(z.supportsTouchEvents&&ee.pointerType==="touch")){var re=x.context.contextService.getDomElement(),ae=x.context.eventService.isNativeEventFromCanvas(re,ee),se=ae?"":"outside",fe=x.normalizeToPointerEvent(ee,z),me=$h(fe),Ae;try{for(me.s();!(Ae=me.n()).done;){var Te=Ae.value,Fe=x.bootstrapEvent(x.rootPointerEvent,Te,z,ee);Fe.type+=se,x.context.eventService.mapEvent(Fe)}}catch(Ue){me.e(Ue)}finally{me.f()}x.setCursor(x.context.eventService.cursor)}}),b.hooks.pointerMove.tap(E.tag,this.onPointerMove),b.hooks.pointerOver.tap(E.tag,this.onPointerMove),b.hooks.pointerOut.tap(E.tag,this.onPointerMove),b.hooks.click.tap(E.tag,this.onClick),b.hooks.pointerCancel.tap(E.tag,function(ee){var re=x.normalizeToPointerEvent(ee,z),ae=$h(re),se;try{for(ae.s();!(se=ae.n()).done;){var fe=se.value,me=x.bootstrapEvent(x.rootPointerEvent,fe,z,ee);x.context.eventService.mapEvent(me)}}catch(Ae){ae.e(Ae)}finally{ae.f()}x.setCursor(x.context.eventService.cursor)})}},{key:"bootstrapEvent",value:function(y,x,b,z){y.view=b,y.originalEvent=null,y.nativeEvent=z,y.pointerId=x.pointerId,y.width=x.width,y.height=x.height,y.isPrimary=x.isPrimary,y.pointerType=x.pointerType,y.pressure=x.pressure,y.tangentialPressure=x.tangentialPressure,y.tiltX=x.tiltX,y.tiltY=x.tiltY,y.twist=x.twist,this.transferMouseData(y,x);var ee=this.context.eventService.client2Viewport({x:x.clientX,y:x.clientY}),re=ee.x,ae=ee.y;y.viewport.x=re,y.viewport.y=ae;var se=this.context.eventService.viewport2Canvas(y.viewport),fe=se.x,me=se.y;return y.canvas.x=fe,y.canvas.y=me,y.global.copyFrom(y.canvas),y.offset.copyFrom(y.canvas),y.isTrusted=z.isTrusted,y.type==="pointerleave"&&(y.type="pointerout"),y.type.startsWith("mouse")&&(y.type=y.type.replace("mouse","pointer")),y.type.startsWith("touch")&&(y.type=a6[y.type]||y.type),y}},{key:"normalizeWheelEvent",value:function(y){var x=this.rootWheelEvent;this.transferMouseData(x,y),x.deltaMode=y.deltaMode,x.deltaX=y.deltaX,x.deltaY=y.deltaY,x.deltaZ=y.deltaZ;var b=this.context.eventService.client2Viewport({x:y.clientX,y:y.clientY}),z=b.x,ee=b.y;x.viewport.x=z,x.viewport.y=ee;var re=this.context.eventService.viewport2Canvas(x.viewport),ae=re.x,se=re.y;return x.canvas.x=ae,x.canvas.y=se,x.global.copyFrom(x.canvas),x.offset.copyFrom(x.canvas),x.nativeEvent=y,x.type=y.type,x}},{key:"transferMouseData",value:function(y,x){y.isTrusted=x.isTrusted,y.srcElement=x.srcElement,y.timeStamp=kE.now(),y.type=x.type,y.altKey=x.altKey,y.metaKey=x.metaKey,y.shiftKey=x.shiftKey,y.ctrlKey=x.ctrlKey,y.button=x.button,y.buttons=x.buttons,y.client.x=x.clientX,y.client.y=x.clientY,y.movement.x=x.movementX,y.movement.y=x.movementY,y.page.x=x.pageX,y.page.y=x.pageY,y.screen.x=x.screenX,y.screen.y=x.screenY,y.relatedTarget=null}},{key:"setCursor",value:function(y){this.context.contextService.applyCursorStyle(y||this.context.config.cursor||"default")}},{key:"normalizeToPointerEvent",value:function(y,x){var b=[];if(x.isTouchEvent(y))for(var z=0;z-1,ae=0,se=z.length;ae1&&arguments[1]!==void 0?arguments[1]:!1;if(y.isConnected){var b=y.rBushNode;b.aabb&&this.rBush.remove(b.aabb);var z=y.getRenderBounds();if(z){var ee=y.renderable;x&&(ee.dirtyRenderBounds||(ee.dirtyRenderBounds=new il),ee.dirtyRenderBounds.update(z.center,z.halfExtents));var re=z.getMin(),ae=(0,Wn.Z)(re,2),se=ae[0],fe=ae[1],me=z.getMax(),Ae=(0,Wn.Z)(me,2),Te=Ae[0],Fe=Ae[1];b.aabb||(b.aabb={}),b.aabb.displayObject=y,b.aabb.minX=se,b.aabb.minY=fe,b.aabb.maxX=Te,b.aabb.maxY=Fe}if(b.aabb&&!isNaN(b.aabb.maxX)&&!isNaN(b.aabb.maxX)&&!isNaN(b.aabb.minX)&&!isNaN(b.aabb.minY))return b.aabb}}},{key:"syncRTree",value:function(){var y=this,x=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!1;if(!(!x&&(this.syncing||this.syncTasks.size===0))){this.syncing=!0;var b=[],z=new Set,ee=function(ae){if(!z.has(ae)&&ae.renderable){var se=y.syncNode(ae,x);se&&(b.push(se),z.add(ae))}};this.syncTasks.forEach(function(re,ae){re&&ae.forEach(ee);for(var se=ae;se;)ee(se),se=se.parentElement}),this.rBush.load(b),b.length=0,this.syncing=!1}}}])}();IP.tag="Prepare";function AX(E){return!!E.document}var _c=function(E){return E.READY="ready",E.BEFORE_RENDER="beforerender",E.RERENDER="rerender",E.AFTER_RENDER="afterrender",E.BEFORE_DESTROY="beforedestroy",E.AFTER_DESTROY="afterdestroy",E.RESIZE="resize",E.DIRTY_RECTANGLE="dirtyrectangle",E.RENDERER_CHANGED="rendererchanged",E}({}),LP=500,bN=.1,CN=1e3,Wm=new $l(is.MOUNTED),jm=new $l(is.UNMOUNTED),QE=new $l(_c.BEFORE_RENDER),OP=new $l(_c.RERENDER),YE=new $l(_c.AFTER_RENDER),XE=function(E){function a(y){var x;(0,Ar.Z)(this,a),x=Tr(this,a),x.Element=ul,x.inited=!1,x.context={};var b=y.container,z=y.canvas,ee=y.renderer,re=y.width,ae=y.height,se=y.background,fe=y.cursor,me=y.supportsMutipleCanvasesInOneContainer,Ae=y.cleanUpOnDestroy,Te=Ae===void 0?!0:Ae,Fe=y.offscreenCanvas,Ue=y.devicePixelRatio,je=y.requestAnimationFrame,Ke=y.cancelAnimationFrame,Ze=y.createImage,Je=y.supportsTouchEvents,tt=y.supportsPointerEvents,at=y.isTouchEvent,st=y.isMouseEvent,ft=y.dblClickSpeed,lt=re,wt=ae,Bt=Ue||FE&&window.devicePixelRatio||1;return Bt=Bt>=1?Math.ceil(Bt):1,z&&(lt=re||t6(z)||z.width/Bt,wt=ae||n6(z)||z.height/Bt),x.customElements=new AN,x.devicePixelRatio=Bt,x.requestAnimationFrame=je!=null?je:zE.bind(Ga.globalThis),x.cancelAnimationFrame=Ke!=null?Ke:gP.bind(Ga.globalThis),x.supportsTouchEvents=Je!=null?Je:"ontouchstart"in Ga.globalThis,x.supportsPointerEvents=tt!=null?tt:!!Ga.globalThis.PointerEvent,x.isTouchEvent=at!=null?at:function(Vt){return x.supportsTouchEvents&&Vt instanceof Ga.globalThis.TouchEvent},x.isMouseEvent=st!=null?st:function(Vt){return!Ga.globalThis.MouseEvent||Vt instanceof Ga.globalThis.MouseEvent&&(!x.supportsPointerEvents||!(Vt instanceof Ga.globalThis.PointerEvent))},Fe&&(Ga.offscreenCanvas=Fe),x.document=new wP,x.document.defaultView=x,me||JB(b,x,Te),x.initRenderingContext((0,Cr.Z)((0,Cr.Z)({},y),{},{width:lt,height:wt,background:se!=null?se:"transparent",cursor:fe!=null?fe:"default",cleanUpOnDestroy:Te,devicePixelRatio:Bt,requestAnimationFrame:x.requestAnimationFrame,cancelAnimationFrame:x.cancelAnimationFrame,supportsTouchEvents:x.supportsTouchEvents,supportsPointerEvents:x.supportsPointerEvents,isTouchEvent:x.isTouchEvent,isMouseEvent:x.isMouseEvent,dblClickSpeed:ft!=null?ft:200,createImage:Ze!=null?Ze:function(){return new window.Image}})),x.initDefaultCamera(lt,wt,ee.clipSpaceNearZ),x.initRenderer(ee,!0),x}return(0,da.Z)(a,E),(0,$n.Z)(a,[{key:"initRenderingContext",value:function(x){this.context.config=x,this.context.renderingContext={root:this.document.documentElement,renderListCurrentFrame:[],unculledEntities:[],renderReasons:new Set,force:!1,dirty:!1}}},{key:"initDefaultCamera",value:function(x,b,z){var ee=this,re=new Ga.CameraContribution;re.clipSpaceNearZ=z,re.setType(Xs.EXPLORING,yE.DEFAULT).setPosition(x/2,b/2,LP).setFocalPoint(x/2,b/2,0).setOrthographic(x/-2,x/2,b/2,b/-2,bN,CN),re.canvas=this,re.eventEmitter.on(AC.UPDATED,function(){ee.context.renderingContext.renderReasons.add(o0.CAMERA_CHANGED),Ga.enableSizeAttenuation&&ee.getConfig().renderer.getConfig().enableSizeAttenuation&&ee.updateSizeAttenuation()}),this.context.camera=re}},{key:"updateSizeAttenuation",value:function(){var x=this.getCamera().getZoom();this.document.documentElement.forEach(function(b){Ga.styleValueRegistry.updateSizeAttenuation(b,x)})}},{key:"getConfig",value:function(){return this.context.config}},{key:"getRoot",value:function(){return this.document.documentElement}},{key:"getCamera",value:function(){return this.context.camera}},{key:"getContextService",value:function(){return this.context.contextService}},{key:"getEventService",value:function(){return this.context.eventService}},{key:"getRenderingService",value:function(){return this.context.renderingService}},{key:"getRenderingContext",value:function(){return this.context.renderingContext}},{key:"getStats",value:function(){return this.getRenderingService().getStats()}},{key:"ready",get:function(){var x=this;return this.readyPromise||(this.readyPromise=new Promise(function(b){x.resolveReadyPromise=function(){b(x)}}),this.inited&&this.resolveReadyPromise()),this.readyPromise}},{key:"destroy",value:function(){var x=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!0,b=arguments.length>1?arguments[1]:void 0;ql.clearCache(),b||this.dispatchEvent(new $l(_c.BEFORE_DESTROY)),this.frameId&&this.cancelAnimationFrame(this.frameId);var z=this.getRoot();x&&(this.unmountChildren(z),this.document.destroy(),this.getEventService().destroy()),this.getRenderingService().destroy(),this.getContextService().destroy(),this.context.rBushRoot&&this.context.rBushRoot.clear(),b||this.dispatchEvent(new $l(_c.AFTER_DESTROY));var ee=function(ae){ae.currentTarget=null,ae.manager=null,ae.target=null,ae.relatedNode=null};ee(Wm),ee(jm),ee(QE),ee(OP),ee(YE),ee(af),ee(HE),ee(KE),ee(PP)}},{key:"changeSize",value:function(x,b){this.resize(x,b)}},{key:"resize",value:function(x,b){var z=this.context.config;z.width=x,z.height=b,this.getContextService().resize(x,b);var ee=this.context.camera,re=ee.getProjectionMode();ee.setPosition(x/2,b/2,LP).setFocalPoint(x/2,b/2,0),re===rd.ORTHOGRAPHIC?ee.setOrthographic(x/-2,x/2,b/2,b/-2,ee.getNear(),ee.getFar()):ee.setAspect(x/b),this.dispatchEvent(new $l(_c.RESIZE,{width:x,height:b}))}},{key:"appendChild",value:function(x,b){return this.document.documentElement.appendChild(x,b)}},{key:"insertBefore",value:function(x,b){return this.document.documentElement.insertBefore(x,b)}},{key:"removeChild",value:function(x){return this.document.documentElement.removeChild(x)}},{key:"removeChildren",value:function(){this.document.documentElement.removeChildren()}},{key:"destroyChildren",value:function(){this.document.documentElement.destroyChildren()}},{key:"render",value:function(x){var b=this;x&&(QE.detail=x,YE.detail=x),this.dispatchEvent(QE);var z=this.getRenderingService();z.render(this.getConfig(),x,function(){b.dispatchEvent(OP)}),this.dispatchEvent(YE)}},{key:"run",value:function(){var x=this,b=function(ee,re){x.render(re),x.frameId=x.requestAnimationFrame(b)};b()}},{key:"initRenderer",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;if(!x)throw new Error("Renderer is required.");this.inited=!1,this.readyPromise=void 0,this.context.rBushRoot=new QO,this.context.renderingPlugins=[],this.context.renderingPlugins.push(new DP,new IP,new MP([new SN])),this.loadRendererContainerModule(x),this.context.contextService=new this.context.ContextService((0,Cr.Z)((0,Cr.Z)({},Ga),this.context)),this.context.renderingService=new F6(Ga,this.context),this.context.eventService=new _6(Ga,this.context),this.context.eventService.init(),this.context.contextService.init?(this.context.contextService.init(),this.initRenderingService(x,z,!0)):this.context.contextService.initAsync().then(function(){b.initRenderingService(x,z)}).catch(function(ee){console.error(ee)})}},{key:"initRenderingService",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,ee=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!1;this.context.renderingService.init(function(){b.inited=!0,z?ee?b.requestAnimationFrame(function(){b.dispatchEvent(new $l(_c.READY))}):b.dispatchEvent(new $l(_c.READY)):b.dispatchEvent(new $l(_c.RENDERER_CHANGED)),b.readyPromise&&b.resolveReadyPromise(),z||b.getRoot().forEach(function(re){var ae=re,se=ae.renderable;se&&(se.renderBoundsDirty=!0,se.boundsDirty=!0,se.dirty=!0)}),b.mountChildren(b.getRoot()),x.getConfig().enableAutoRendering&&b.run()})}},{key:"loadRendererContainerModule",value:function(x){var b=this,z=x.getPlugins();z.forEach(function(ee){ee.context=b.context,ee.init(Ga)})}},{key:"setRenderer",value:function(x){var b=this.getConfig();if(b.renderer!==x){var z=b.renderer;b.renderer=x,this.destroy(!1,!0),(0,va.Z)((z==null?void 0:z.getPlugins())||[]).reverse().forEach(function(ee){ee.destroy(Ga)}),this.initRenderer(x)}}},{key:"setCursor",value:function(x){var b=this.getConfig();b.cursor=x,this.getContextService().applyCursorStyle(x)}},{key:"unmountChildren",value:function(x){var b=this;x.childNodes.forEach(function(z){b.unmountChildren(z)}),this.inited&&(x.isMutationObserved?x.dispatchEvent(jm):(jm.target=x,this.dispatchEvent(jm,!0)),x!==this.document.documentElement&&(x.ownerDocument=null),x.isConnected=!1),x.isCustomElement&&x.disconnectedCallback&&x.disconnectedCallback()}},{key:"mountChildren",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:Nm(x);this.inited?x.isConnected||(x.ownerDocument=this.document,x.isConnected=!0,z||(x.isMutationObserved?x.dispatchEvent(Wm):(Wm.target=x,this.dispatchEvent(Wm,!0)))):console.warn("[g]: You are trying to call `canvas.appendChild` before canvas' initialization finished. You can either await `canvas.ready` or listen to `CanvasEvent.READY` manually.","appended child: ",x.nodeName),x.childNodes.forEach(function(ee){b.mountChildren(ee,z)}),x.isCustomElement&&x.connectedCallback&&x.connectedCallback()}},{key:"mountFragment",value:function(x){this.mountChildren(x,!1)}},{key:"client2Viewport",value:function(x){return this.getEventService().client2Viewport(x)}},{key:"viewport2Client",value:function(x){return this.getEventService().viewport2Client(x)}},{key:"viewport2Canvas",value:function(x){return this.getEventService().viewport2Canvas(x)}},{key:"canvas2Viewport",value:function(x){return this.getEventService().canvas2Viewport(x)}},{key:"getPointByClient",value:function(x,b){return this.client2Viewport({x,y:b})}},{key:"getClientByPoint",value:function(x,b){return this.viewport2Client({x,y:b})}}])}(EP);var PN=function(E){function a(){var y;(0,Ar.Z)(this,a);for(var x=arguments.length,b=new Array(x),z=0;z90)return this;this.computeMatrix()}return this._getAxes(),this.type===Xs.ORBITING||this.type===Xs.EXPLORING?this._getPosition():this.type===Xs.TRACKING&&this._getFocalPoint(),this._update(),this}},{key:"pan",value:function(x,b){var z=ec(x,b,0),ee=ao(this.position);return fs(ee,ee,us(ni(),this.right,z[0])),fs(ee,ee,us(ni(),this.up,z[1])),this._setPosition(ee),this.triggerUpdate(),this}},{key:"dolly",value:function(x){var b=this.forward,z=ao(this.position),ee=x*this.dollyingStep,re=this.distance+x*this.dollyingStep;return ee=Math.max(Math.min(re,this.maxDistance),this.minDistance)-this.distance,z[0]+=ee*b[0],z[1]+=ee*b[1],z[2]+=ee*b[2],this._setPosition(z),this.type===Xs.ORBITING||this.type===Xs.EXPLORING?this._getDistance():this.type===Xs.TRACKING&&fs(this.focalPoint,z,this.distanceVector),this.triggerUpdate(),this}},{key:"cancelLandmarkAnimation",value:function(){this.landmarkAnimationID!==void 0&&this.canvas.cancelAnimationFrame(this.landmarkAnimationID)}},{key:"createLandmark",value:function(x){var b,z,ee,re,ae=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},se=ae.position,fe=se===void 0?this.position:se,me=ae.focalPoint,Ae=me===void 0?this.focalPoint:me,Te=ae.roll,Fe=ae.zoom,Ue=new Ga.CameraContribution;Ue.setType(this.type,void 0),Ue.setPosition(fe[0],(b=fe[1])!==null&&b!==void 0?b:this.position[1],(z=fe[2])!==null&&z!==void 0?z:this.position[2]),Ue.setFocalPoint(Ae[0],(ee=Ae[1])!==null&&ee!==void 0?ee:this.focalPoint[1],(re=Ae[2])!==null&&re!==void 0?re:this.focalPoint[2]),Ue.setRoll(Te!=null?Te:this.roll),Ue.setZoom(Fe!=null?Fe:this.zoom);var je={name:x,matrix:ys(Ue.getWorldTransform()),right:ao(Ue.right),up:ao(Ue.up),forward:ao(Ue.forward),position:ao(Ue.getPosition()),focalPoint:ao(Ue.getFocalPoint()),distanceVector:ao(Ue.getDistanceVector()),distance:Ue.getDistance(),dollyingStep:Ue.getDollyingStep(),azimuth:Ue.getAzimuth(),elevation:Ue.getElevation(),roll:Ue.getRoll(),relAzimuth:Ue.relAzimuth,relElevation:Ue.relElevation,relRoll:Ue.relRoll,zoom:Ue.getZoom()};return this.landmarks.push(je),je}},{key:"gotoLandmark",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},ee=Ls(x)?this.landmarks.find(function(Vt){return Vt.name===x}):x;if(ee){var re=Oi(z)?{duration:z}:z,ae=re.easing,se=ae===void 0?"linear":ae,fe=re.duration,me=fe===void 0?100:fe,Ae=re.easingFunction,Te=Ae===void 0?void 0:Ae,Fe=re.onfinish,Ue=Fe===void 0?void 0:Fe,je=re.onframe,Ke=je===void 0?void 0:je,Ze=.01;this.cancelLandmarkAnimation();var Je=ee.position,tt=ee.focalPoint,at=ee.zoom,st=ee.roll,ft=Te||Ga.EasingFunction(se),lt,wt=function(){b.setFocalPoint(tt),b.setPosition(Je),b.setRoll(st),b.setZoom(at),b.computeMatrix(),b.triggerUpdate(),Ue==null||Ue()};if(me===0)return wt();var Bt=function(Xt){lt===void 0&&(lt=Xt);var vn=Xt-lt;if(vn>=me){wt();return}var on=ft(vn/me),wn=ni(),qn=ni(),yn=1,En=0;zh(wn,b.focalPoint,tt,on),zh(qn,b.position,Je,on),En=b.roll*(1-on)+st*on,yn=b.zoom*(1-on)+at*on,b.setFocalPoint(wn),b.setPosition(qn),b.setRoll(En),b.setZoom(yn);var Pn=xf(wn,tt)+xf(qn,Je);if(Pn<=Ze&&at===void 0&&st===void 0)return wt();b.computeMatrix(),b.triggerUpdate(),vn0&&Number(this._currentTime)>=this._totalDuration||this._playbackRate<0&&Number(this._currentTime)<=0)}},{key:"totalDuration",get:function(){return this._totalDuration}},{key:"_needsTick",get:function(){return this.pending||this.playState==="running"||!this._finishedFlag}},{key:"updatePromises",value:function(){var y=this.oldPlayState,x=this.pending?"pending":this.playState;return this.readyPromise&&x!==y&&(x==="idle"?(this.rejectReadyPromise(),this.readyPromise=void 0):y==="pending"?this.resolveReadyPromise():x==="pending"&&(this.readyPromise=void 0)),this.finishedPromise&&x!==y&&(x==="idle"?(this.rejectFinishedPromise(),this.finishedPromise=void 0):x==="finished"?this.resolveFinishedPromise():y==="finished"&&(this.finishedPromise=void 0)),this.oldPlayState=x,this.readyPromise||this.finishedPromise}},{key:"play",value:function(){this.updatePromises(),this._paused=!1,(this._isFinished||this._idle)&&(this.rewind(),this._startTime=null),this._finishedFlag=!1,this._idle=!1,this.ensureAlive(),this.timeline.applyDirtiedAnimation(this),this.timeline.animations.indexOf(this)===-1&&this.timeline.animations.push(this),this.updatePromises()}},{key:"pause",value:function(){this.updatePromises(),this.currentTime&&(this._holdTime=this.currentTime),!this._isFinished&&!this._paused&&!this._idle?this.currentTimePending=!0:this._idle&&(this.rewind(),this._idle=!1),this._startTime=null,this._paused=!0,this.updatePromises()}},{key:"finish",value:function(){this.updatePromises(),!this._idle&&(this.currentTime=this._playbackRate>0?this._totalDuration:0,this._startTime=this._totalDuration-this.currentTime,this.currentTimePending=!1,this.timeline.applyDirtiedAnimation(this),this.updatePromises())}},{key:"cancel",value:function(){var y=this;if(this.updatePromises(),!!this._inEffect&&(this._inEffect=!1,this._idle=!0,this._paused=!1,this._finishedFlag=!0,this._currentTime=0,this._startTime=null,this.effect.update(null),this.timeline.applyDirtiedAnimation(this),this.updatePromises(),this.oncancel)){var x=new eA(null,this,this.currentTime,null);setTimeout(function(){y.oncancel(x)})}}},{key:"reverse",value:function(){this.updatePromises();var y=this.currentTime;this.playbackRate*=-1,this.play(),y!==null&&(this.currentTime=y),this.updatePromises()}},{key:"updatePlaybackRate",value:function(y){this.playbackRate=y}},{key:"targetAnimations",value:function(){var y,x=(y=this.effect)===null||y===void 0?void 0:y.target;return x.getAnimations()}},{key:"markTarget",value:function(){var y=this.targetAnimations();y.indexOf(this)===-1&&y.push(this)}},{key:"unmarkTarget",value:function(){var y=this.targetAnimations(),x=y.indexOf(this);x!==-1&&y.splice(x,1)}},{key:"tick",value:function(y,x){!this._idle&&!this._paused&&(this._startTime===null?x&&(this.startTime=y-this._currentTime/this.playbackRate):this._isFinished||this.tickCurrentTime((y-this._startTime)*this.playbackRate)),x&&(this.currentTimePending=!1,this.fireEvents(y))}},{key:"rewind",value:function(){if(this.playbackRate>=0)this.currentTime=0;else if(this._totalDuration<1/0)this.currentTime=this._totalDuration;else throw new Error("Unable to rewind negative playback rate animation with infinite duration")}},{key:"persist",value:function(){throw new Error(Qs)}},{key:"addEventListener",value:function(y,x,b){throw new Error(Qs)}},{key:"removeEventListener",value:function(y,x,b){throw new Error(Qs)}},{key:"dispatchEvent",value:function(y){throw new Error(Qs)}},{key:"commitStyles",value:function(){throw new Error(Qs)}},{key:"ensureAlive",value:function(){if(this.playbackRate<0&&this.currentTime===0){var 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0||y.tryDestroy()}destroy(){this.emitter.off(ga.POINTER_DOWN,this.onPointerDown),this.emitter.off(ga.POINTER_MOVE,this.onPointerMove),this.emitter.off(ga.POINTER_UP,this.onPointerUp),Hl.instance=null}off(a,y){const x=Hl.callbacks[a].indexOf(y);x>-1&&Hl.callbacks[a].splice(x,1),this.tryDestroy()}tryDestroy(){Object.values(Hl.callbacks).every(a=>a.length===0)&&this.destroy()}}Hl.isPinching=!1,Hl.instance=null,Hl.callbacks={pinchstart:[],pinchmove:[],pinchend:[]};const nw=E=>E.map(a=>Ls(a)?a.toLocaleLowerCase():a);class f0{constructor(a){this.map=new Map,this.boundHandlePinch=()=>{},this.recordKey=new Set,this.onKeyDown=y=>{y!=null&&y.key&&(this.recordKey.add(y.key),this.trigger(y))},this.onKeyUp=y=>{y!=null&&y.key&&this.recordKey.delete(y.key)},this.onWheel=y=>{this.triggerExtendKey(ga.WHEEL,y)},this.onDrag=y=>{this.triggerExtendKey(ga.DRAG,y)},this.handlePinch=(y,x)=>{this.triggerExtendKey(ga.PINCH,Object.assign(Object.assign({},y),x))},this.onFocus=()=>{this.recordKey.clear()},this.emitter=a,this.bindEvents()}bind(a,y){a.length!==0&&(a.includes(ga.PINCH)&&!this.pinchHandler&&(this.boundHandlePinch=this.handlePinch.bind(this),this.pinchHandler=new Hl(this.emitter,"pinchmove",this.boundHandlePinch)),this.map.set(a,y))}unbind(a,y){this.map.forEach((x,b)=>{Vl(b,a)&&(!y||y===x)&&this.map.delete(b)})}unbindAll(){this.map.clear()}match(a){const y=nw(Array.from(this.recordKey)).sort(),x=nw(a).sort();return Vl(y,x)}bindEvents(){var a;const{emitter:y}=this;y.on(ga.KEY_DOWN,this.onKeyDown),y.on(ga.KEY_UP,this.onKeyUp),y.on(ga.WHEEL,this.onWheel),y.on(ga.DRAG,this.onDrag),(a=globalThis.addEventListener)===null||a===void 0||a.call(globalThis,"focus",this.onFocus)}trigger(a){this.map.forEach((y,x)=>{this.match(x)&&y(a)})}triggerExtendKey(a,y){this.map.forEach((x,b)=>{b.includes(a)&&Vl(Array.from(this.recordKey),b.filter(z=>z!==a))&&x(y)})}destroy(){var a,y;this.unbindAll(),this.emitter.off(ga.KEY_DOWN,this.onKeyDown),this.emitter.off(ga.KEY_UP,this.onKeyUp),this.emitter.off(ga.WHEEL,this.onWheel),this.emitter.off(ga.DRAG,this.onDrag),(a=this.pinchHandler)===null||a===void 0||a.off("pinchmove",this.boundHandlePinch),(y=globalThis.removeEventListener)===null||y===void 0||y.call(globalThis,"blur",this.onFocus)}}class pv extends kc{constructor(a,y){super(a,nc({},pv.defaultOptions,y)),this.shortcut=new f0(a.graph),this.onPointerDown=this.onPointerDown.bind(this),this.onPointerMove=this.onPointerMove.bind(this),this.onPointerUp=this.onPointerUp.bind(this),this.clearStates=this.clearStates.bind(this),this.bindEvents()}onPointerDown(a){if(!this.validate(a)||!this.isKeydown()||this.startPoint)return;const{canvas:y,graph:x}=this.context,b=Object.assign({},this.options.style);this.options.style.lineWidth&&(b.lineWidth=+this.options.style.lineWidth/x.getZoom()),this.rectShape=new Du({id:"g6-brush-select",style:b}),y.appendChild(this.rectShape),this.startPoint=[a.canvas.x,a.canvas.y]}onPointerMove(a){var y;if(!this.startPoint)return;const{immediately:x,mode:b}=this.options;this.endPoint=wp(a),(y=this.rectShape)===null||y===void 0||y.attr({x:Math.min(this.endPoint[0],this.startPoint[0]),y:Math.min(this.endPoint[1],this.startPoint[1]),width:Math.abs(this.endPoint[0]-this.startPoint[0]),height:Math.abs(this.endPoint[1]-this.startPoint[1])}),x&&b==="default"&&this.updateElementsStates(tw(this.startPoint,this.endPoint))}onPointerUp(a){if(this.startPoint){if(!this.endPoint){this.clearBrush();return}this.endPoint=wp(a),this.updateElementsStates(tw(this.startPoint,this.endPoint)),this.clearBrush()}}clearStates(){this.endPoint||this.clearElementsStates()}clearElementsStates(){const{graph:a}=this.context,y=Object.values(a.getData()).reduce((x,b)=>Object.assign({},x,b.reduce((z,ee)=>(z[_r(ee)]=[],z),{})),{});a.setElementState(y,this.options.animation)}updateElementsStates(a){const{graph:y}=this.context,{enableElements:x,state:b,mode:z,onSelect:ee}=this.options,re=this.selector(y,a,x);let ae={};switch(z){case"union":re.forEach(se=>{ae[se]=[...y.getElementState(se),b]});break;case"diff":re.forEach(se=>{const fe=y.getElementState(se);ae[se]=fe.includes(b)?fe.filter(me=>me!==b):[...fe,b]});break;case"intersect":re.forEach(se=>{const fe=y.getElementState(se);ae[se]=fe.includes(b)?[b]:[]});break;case"default":default:re.forEach(se=>{ae[se]=[b]});break}Gi(ee)&&(ae=ee(ae)),y.setElementState(ae,this.options.animation)}selector(a,y,x){if(!x||x.length===0)return[];const b=[],z=a.getData();if(x.forEach(ee=>{z[`${ee}s`].forEach(re=>{const ae=_r(re);a.getElementVisibility(ae)!=="hidden"&&T_(a.getElementPosition(ae),y)&&b.push(ae)})}),x.includes("edge")){const ee=z.edges;ee==null||ee.forEach(re=>{const{source:ae,target:se}=re;b.includes(ae)&&b.includes(se)&&b.push(_r(re))})}return b}clearBrush(){var a;(a=this.rectShape)===null||a===void 0||a.remove(),this.rectShape=void 0,this.startPoint=void 0,this.endPoint=void 0}isKeydown(){const{trigger:a}=this.options,y=Array.isArray(a)?a:[a];return this.shortcut.match(y.filter(x=>x!=="drag"))}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}bindEvents(){const{graph:a}=this.context;a.on(ga.POINTER_DOWN,this.onPointerDown),a.on(ga.POINTER_MOVE,this.onPointerMove),a.on(ga.POINTER_UP,this.onPointerUp),a.on(Df.CLICK,this.clearStates)}unbindEvents(){const{graph:a}=this.context;a.off(ga.POINTER_DOWN,this.onPointerDown),a.off(ga.POINTER_MOVE,this.onPointerMove),a.off(ga.POINTER_UP,this.onPointerUp),a.off(Df.CLICK,this.clearStates)}update(a){this.unbindEvents(),this.options=nc(this.options,a),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy()}}pv.defaultOptions={animation:!1,enable:!0,enableElements:["node","combo","edge"],immediately:!1,mode:"default",state:"selected",trigger:["shift"],style:{width:0,height:0,lineWidth:1,fill:"#1677FF",stroke:"#1677FF",fillOpacity:.1,zIndex:2,pointerEvents:"none"}};const wp=E=>[E.canvas.x,E.canvas.y],Bf=.8,pg=["node","edge","combo"];function yg(E,a,y,x,b=0){x==="TB"&&a(E,b);const z=y(E);if(z)for(const ee of z)yg(ee,a,y,x,b+1);x==="BT"&&a(E,b)}function k_(E,a,y){const x=[[E,0]];for(;x.length;){const[b,z]=x.shift();a(b,z);const ee=y(b);if(ee)for(const re of ee)x.push([re,z+1])}}function rw(E,a,y,x,b="both"){if(a==="combo"||a==="node")return IA(E,y,x,b);const z=E.getEdgeData(y);if(!z)return[];const ee=IA(E,z.source,x-1,b),re=IA(E,z.target,x-1,b);return Array.from(new Set([...ee,...re,y]))}function IA(E,a,y,x="both"){const b=new Set,z=new Set,ee=new Set;return k_(a,(re,ae)=>{ae>y||(ee.add(re),E.getRelatedEdgesData(re,x).forEach(se=>{const fe=_r(se);!z.has(fe)&&aeE.getRelatedEdgesData(re,x).map(ae=>ae.source===re?ae.target:ae.source).filter(ae=>b.has(ae)?!1:(b.add(ae),!0))),Array.from(ee)}function LA(E){return E.states||[]}var Mp=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function 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Fe=(Ue,je)=>{Ue.forEach(Ke=>{fe[Ke]||(fe[Ke]=re.getElementState(Ke)),fe[Ke].push(je)})};Fe(Ae,y),Fe(Te,b),x&&Object.keys(fe).forEach(Ue=>{!Ae.includes(Ue)&&!Te.includes(Ue)&&fe[Ue].push(x)})}else Object.assign(fe,this.getClearStates());yield re.setElementState(fe,z)})}getDataStates(){const{graph:a}=this.context,{nodes:y,edges:x,combos:b}=a.getData(),z={};return[...y,...x,...b].forEach(ee=>{z[_r(ee)]=LA(ee)}),z}getClearStates(a=!1){const{graph:y}=this.context,{state:x,unselectedState:b,neighborState:z}=this.options,ee=new Set([x,b,z]),{nodes:re,edges:ae,combos:se}=y.getData(),fe={};return[...re,...ae,...se].forEach(me=>{const Ae=LA(me),Te=Ae.filter(Fe=>!ee.has(Fe));(a||Te.length!==Ae.length)&&(fe[_r(me)]=Te)}),fe}clearState(){return Mp(this,void 0,void 0,function*(){const{graph:a}=this.context;yield a.setElementState(this.getClearStates(),this.options.animation)})}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return 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0){const{x:z=0,y:ee=0,z:re=0}=this.attributes;a.forEach(ae=>{const{x:se=z,y:fe=ee,z:me=re}=ae;Object.assign(ae,{transform:me?[["translate3d",se,fe,me]]:[["translate",se,fe]]})})}const b=super.animate(a,y);if(b&&(TA(this,b),x.push(b)),Array.isArray(a)&&a.length>0){const z=["transform","transformOrigin","x","y","z","zIndex"];if(Object.keys(a[0]).some(ee=>!z.includes(ee))){Object.entries(this.shapeMap).forEach(([re,ae])=>{const se=`get${ip(re)}Style`,fe=this[se];if(Gi(fe)){const me=a.map(Te=>fe.call(this,Object.assign(Object.assign({},this.attributes),Te))),Ae=ae.animate(uA(me),y);Ae&&(TA(ae,Ae),x.push(Ae))}});const ee=(re,ae)=>{if(!cf(re)){const se=`get${ip(ae)}Style`,fe=this[se];if(Gi(fe)){const me=a.map(Ae=>fe.call(this,Object.assign(Object.assign({},this.attributes),Ae)));Object.entries(me[0]).map(([Ae])=>{const Te=me.map(Ue=>Ue[Ae]),Fe=re[Ae];if(Fe){const Ue=Fe.animate(uA(Te),y);Ue&&(TA(Fe,Ue),x.push(Ue))}})}}};this.compositeShapes.forEach(([re,ae])=>{const se=OA(this.shapeMap,ae);ee(se,re)})}}return lA(x)}getShape(a){return this.shapeMap[a]}setVisibility(){const{visibility:a}=this.attributes;vg(this,a)}destroy(){this.shapeMap={},this.animateMap={},super.destroy()}}function TA(E,a){a==null||a.finished.then(()=>{const y=E.activeAnimations.findIndex(x=>x===a);y>-1&&E.activeAnimations.splice(y,1)})}function fw(E){if(!E)return{};if("x"in E||"y"in E||"z"in E){const{x:a=0,y=0,z:x,transform:b}=E,z=qP(a,y,x,b);z&&(E.transform=z)}return E}var eF=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{y.push([b===0?"M":"L",...x])}),a&&y.push(["Z"]),y}const hw={M:["x","y"],m:["dx","dy"],H:["x"],h:["dx"],V:["y"],v:["dy"],L:["x","y"],l:["dx","dy"],Z:[],z:[],C:["x1","y1","x2","y2","x","y"],c:["dx1","dy1","dx2","dy2","dx","dy"],S:["x2","y2","x","y"],s:["dx2","dy2","dx","dy"],Q:["x1","y1","x","y"],q:["dx1","dy1","dx","dy"],T:["x","y"],t:["dx","dy"],A:["rx","ry","rotation","large-arc","sweep","x","y"],a:["rx","ry","rotation","large-arc","sweep","dx","dy"]};function nF(E){const a=E.replace(/[\n\r]/g,"").replace(/-/g," -").replace(/(\d*\.)(\d+)(?=\.)/g,"$1$2 ").trim().split(/\s*,|\s+/),y=[];let x="",b={};for(;a.length>0;){let z=a.shift();z in hw?x=z:a.unshift(z),b={type:x},hw[x].forEach(ae=>{z=a.shift(),b[ae]=z}),x==="M"?x="L":x==="m"&&(x="l");const[ee,...re]=Object.values(b);y.push([ee,...re.map(Number)])}return y}function rF(E){const a=[];return(typeof E=="string"?nF(E):E).forEach(x=>{const b=x[0];if(b==="Z"){a.push(a[0]);return}if(b!=="A")for(let z=1;z{if(E.length<2)return[["M",0,0],["L",0,0]];const a=E[0],y=E[1],x=E[E.length-1],b=E[E.length-2];E.unshift(b,x),E.push(a,y);const z=[["M",x[0],x[1]]];for(let ee=1;ee{const je=Fe,Ke=fe[(Ue+1)%fe.length];return Vl(je,Ke)?null:[je,Ke]}).filter(Boolean),Ae=R_([re,ae],me),Te=ew([re,ae],Ae);if(Te&&Ae&&(se.transform=[["translate",Te[0]+y,Te[1]+x]],ee)){const Fe=Math.atan((Ae[0][1]-Ae[1][1])/(Ae[0][0]-Ae[1][0]));se.transform.push(["rotate",Fe/Math.PI*180]),se.textAlign="center",(a==="right"||a==="left")&&(Fe>0?se.textBaseline=a==="right"?"bottom":"top":se.textBaseline=a==="right"?"top":"bottom")}return se}var iF=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{x!=null&&x.children.length&&x.children.forEach(b=>{a.push(b),y(b)})};return y(E),a}function sF(E){const a=[];let y=E.parentNode;for(;y;)a.push(y),y=y.parentNode;return a}class BA extends iv{constructor(a){super(a),this.onMounted=()=>{this.handleRadius()},this.onAttrModified=()=>{this.handleRadius()},g0=this,this.isMutationObserved=!0,this.addEventListener(is.MOUNTED,this.onMounted),this.addEventListener(is.ATTR_MODIFIED,this.onAttrModified)}handleRadius(){const{radius:a,clipPath:y,width:x=0,height:b=0}=this.attributes;if(a&&x&&b){const[z,ee]=this.getBounds().min,re={x:z,y:ee,radius:a,width:x,height:b};if(y)Object.assign(this.parsedStyle.clipPath.style,re);else{const ae=new Du({style:re});this.style.clipPath=ae}}else y&&(this.style.clipPath=null)}}const NA=new WeakMap;let g0=null;const RA=E=>{if(g0&&sF(g0).includes(E)){const a=NA.get(E);a?a.includes(g0)||a.push(g0):NA.set(E,[g0])}},_A=E=>{const a=NA.get(E);a&&a.forEach(y=>y.handleRadius())};class vw extends Av{constructor(a){super(a)}isImage(){const{src:a}=this.attributes;return!!a}getIconStyle(a=this.attributes){const{width:y=0,height:x=0}=a,b=this.getGraphicStyle(a);return this.isImage()?Object.assign({x:-y/2,y:-x/2},b):Object.assign({textBaseline:"middle",textAlign:"center"},b)}render(a=this.attributes,y=this){this.upsert("icon",this.isImage()?BA:dg,this.getIconStyle(a),y)}}class mw extends Av{get context(){return this.config.context}get parsedAttributes(){return this.attributes}onframe(){}animate(a,y){const x=super.animate(a,y);return x&&(x.onframe=()=>this.onframe(),x.finished.then(()=>this.onframe())),x}}var Ip=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{b[me]=!1}),a.badge===!1||!(!((y=a.badges)===null||y===void 0)&&y.length))return b;const{badges:z=[],badgePalette:ee,opacity:re=1}=a,ae=Ip(a,["badges","badgePalette","opacity"]),se=uw(ee),fe=eu(this.getGraphicStyle(ae),"badge");return z.forEach((me,Ae)=>{b[Ae]=Object.assign(Object.assign({backgroundFill:se?se[Ae%(se==null?void 0:se.length)]:void 0,opacity:re},fe),this.getBadgeStyle(me))}),b}getBadgeStyle(a){const y=this.getShape("key"),{placement:x="top",offsetX:b,offsetY:z}=a,ee=Ip(a,["placement","offsetX","offsetY"]),re=Yw(y.getLocalBounds(),x,b,z,!0);return Object.assign(Object.assign({},re),ee)}getPortsStyle(a){var y;const x=this.getPorts(),b={};if(Object.keys(x).forEach(re=>{b[re]=!1}),a.port===!1||!(!((y=a.ports)===null||y===void 0)&&y.length))return b;const z=eu(this.getGraphicStyle(a),"port"),{ports:ee=[]}=a;return ee.forEach((re,ae)=>{const se=re.key||ae,fe=Object.assign(Object.assign({},z),re);if(Kw(fe))b[se]=!1;else{const[me,Ae]=this.getPortXY(a,re);b[se]=Object.assign({transform:[["translate",me,Ae]]},fe)}}),b}getPortXY(a,y){const{placement:x="left"}=y,b=this.getShape("key");return XA(lF(this.context,b),x)}getPorts(){return OA(this.shapeMap,"port-")}getCenter(){return this.getShape("key").getBounds().center}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return B_(a,x,y)}drawHaloShape(a,y){const x=this.getHaloStyle(a),b=this.getShape("key");this.upsert("halo",b.constructor,x,y)}drawIconShape(a,y){const x=this.getIconStyle(a);this.upsert("icon",vw,x,y),RA(this)}drawBadgeShapes(a,y){const x=this.getBadgesStyle(a);Object.keys(x).forEach(b=>{const z=x[b];this.upsert(`badge-${b}`,h0,z,y)})}drawPortShapes(a,y){const x=this.getPortsStyle(a);Object.keys(x).forEach(b=>{const z=x[b],ee=`port-${b}`;this.upsert(ee,wf,z,y)})}drawLabelShape(a,y){const x=this.getLabelStyle(a);this.upsert("label",hh,x,y)}_drawKeyShape(a,y){return this.drawKeyShape(a,y)}render(a=this.parsedAttributes,y=this){this._drawKeyShape(a,y),this.getShape("key")&&(this.drawHaloShape(a,y),this.drawIconShape(a,y),this.drawBadgeShapes(a,y),this.drawLabelShape(a,y),this.drawPortShapes(a,y))}update(a){super.update(a),a&&("x"in a||"y"in a||"z"in a)&&_A(this)}onframe(){this.drawBadgeShapes(this.parsedAttributes,this),this.drawLabelShape(this.parsedAttributes,this)}}_d.defaultStyleProps={x:0,y:0,size:32,droppable:!0,draggable:!0,port:!0,ports:[],portZIndex:2,portLinkToCenter:!1,badge:!0,badges:[],badgeZIndex:3,halo:!1,haloDroppable:!1,haloLineDash:0,haloLineWidth:12,haloStrokeOpacity:.25,haloPointerEvents:"none",haloZIndex:-1,icon:!0,iconZIndex:1,label:!0,labelIsBillboard:!0,labelMaxWidth:"200%",labelPlacement:"bottom",labelWordWrap:!1,labelZIndex:0};function lF(E,a){if(!E)return a.getLocalBounds();const y=E.canvas.getLayer(),x=a.cloneNode();vg(x,"hidden"),y.appendChild(x);const b=x.getLocalBounds();return x.destroy(),b}class Eg extends _d{constructor(a){super(Eu({style:Eg.defaultStyleProps},a))}drawKeyShape(a,y){return this.upsert("key",wf,this.getKeyStyle(a),y)}getKeyStyle(a){const y=super.getKeyStyle(a);return Object.assign(Object.assign({},y),{r:Math.min(...this.getSize(a))/2})}getIconStyle(a){const y=super.getIconStyle(a),{r:x}=this.getShape("key").attributes,b=x*2*Bf;return y?Object.assign({width:b,height:b},y):!1}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return Pp(a,x,y)}}Eg.defaultStyleProps={size:32};class Lp extends _d{constructor(a){super(a)}get parsedAttributes(){return this.attributes}drawKeyShape(a,y){return this.upsert("key",cg,this.getKeyStyle(a),y)}getKeyStyle(a){const y=super.getKeyStyle(a);return Object.assign(Object.assign({},y),{points:this.getPoints(a)})}getIntersectPoint(a,y=!1){var x,b;const{points:z}=this.getShape("key").attributes,ee=[+(((x=this.attributes)===null||x===void 0?void 0:x.x)||0),+(((b=this.attributes)===null||b===void 0?void 0:b.y)||0)];return $2(a,ee,z,!0,y).point}}class uF extends Lp{constructor(a){super(a)}getPoints(a){const[y,x]=this.getSize(a);return $8(y,x)}}var cF=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);bOi(me)?{value:me}:me),z=eu(this.getGraphicStyle(a),"donut"),ee=uw(a.donutPalette);if(!ee)return;const re=b.reduce((me,Ae)=>{var Te;return me+((Te=Ae.value)!==null&&Te!==void 0?Te:0)},0),ae=this.parseOuterR(),se=this.parseInnerR();let fe=0;b.forEach((me,Ae)=>{const{value:Te=0,color:Fe=ee[Ae%ee.length]}=me,Ue=cF(me,["value","color"]),je=(re===0?1/b.length:Te/re)*360;this.upsert(`round${Ae}`,Rc,Object.assign(Object.assign(Object.assign({},z),{d:hF(ae,se,fe,fe+je),fill:Fe}),Ue),y),fe+=je})}render(a,y=this){super.render(a,y),this.drawDonutShape(a,y)}}Op.defaultStyleProps={innerR:"50%",donuts:[],donutPalette:"tableau"};const Tp=(E,a,y,x)=>[E+Math.sin(x)*y,a-Math.cos(x)*y],dF=(E,a,y,x)=>x<=0||y<=x?[["M",E-y,a],["A",y,y,0,1,1,E+y,a],["A",y,y,0,1,1,E-y,a],["Z"]]:[["M",E-y,a],["A",y,y,0,1,1,E+y,a],["A",y,y,0,1,1,E-y,a],["Z"],["M",E+x,a],["A",x,x,0,1,0,E-x,a],["A",x,x,0,1,0,E+x,a],["Z"]],fF=(E,a,y,x,b,z)=>{const[ee,re]=[b/360*2*Math.PI,z/360*2*Math.PI],ae=[Tp(E,a,x,ee),Tp(E,a,y,ee),Tp(E,a,y,re),Tp(E,a,x,re)],se=re-ee>Math.PI?1:0;return[["M",ae[0][0],ae[0][1]],["L",ae[1][0],ae[1][1]],["A",y,y,0,se,1,ae[2][0],ae[2][1]],["L",ae[3][0],ae[3][1]],["A",x,x,0,se,0,ae[0][0],ae[0][1]],["Z"]]},hF=(E=0,a=0,y,x)=>{const[b,z]=[0,0];return Math.abs(y-x)%360<1e-6?dF(b,z,E,a):fF(b,z,E,a,y,x)};class Bp extends _d{constructor(a){super(Eu({style:Bp.defaultStyleProps},a))}drawKeyShape(a,y){return this.upsert("key",rv,this.getKeyStyle(a),y)}getKeyStyle(a){const y=super.getKeyStyle(a),[x,b]=this.getSize(a);return Object.assign(Object.assign({},y),{rx:x/2,ry:b/2})}getIconStyle(a){const y=super.getIconStyle(a),{rx:x,ry:b}=this.getShape("key").attributes,z=Math.min(+x,+b)*2*Bf;return y?Object.assign({width:z,height:z},y):!1}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return Pp(a,x,y)}}Bp.defaultStyleProps={size:[45,35]};class gF extends Lp{constructor(a){super(a)}getOuterR(a){return a.outerR||Math.min(...this.getSize(a))/2}getPoints(a){return nk(this.getOuterR(a))}getIconStyle(a){const y=super.getIconStyle(a),x=this.getOuterR(a)*Bf;return y?Object.assign({width:x,height:x},y):!1}}function vF(E,a){var y=a.cx,x=y===void 0?0:y,b=a.cy,z=b===void 0?0:b,ee=a.r;E.arc(x,z,ee,0,Math.PI*2,!1)}function mF(E,a){var y=a.cx,x=y===void 0?0:y,b=a.cy,z=b===void 0?0:b,ee=a.rx,re=a.ry;if(E.ellipse)E.ellipse(x,z,ee,re,0,0,Math.PI*2,!1);else{var ae=ee>re?ee:re,se=ee>re?1:ee/re,fe=ee>re?re/ee:1;E.save(),E.scale(se,fe),E.arc(x,z,ae,0,Math.PI*2)}}function pF(E,a){var y=a.x1,x=a.y1,b=a.x2,z=a.y2,ee=a.markerStart,re=a.markerEnd,ae=a.markerStartOffset,se=a.markerEndOffset,fe=0,me=0,Ae=0,Te=0,Fe=0,Ue,je;ee&&Os(ee)&&ae&&(Ue=b-y,je=z-x,Fe=Math.atan2(je,Ue),fe=Math.cos(Fe)*(ae||0),me=Math.sin(Fe)*(ae||0)),re&&Os(re)&&se&&(Ue=y-b,je=x-z,Fe=Math.atan2(je,Ue),Ae=Math.cos(Fe)*(se||0),Te=Math.sin(Fe)*(se||0)),E.moveTo(y+fe,x+me),E.lineTo(b+Ae,z+Te)}function yF(E,a){var y=a.markerStart,x=a.markerEnd,b=a.markerStartOffset,z=a.markerEndOffset,ee=a.d,re=ee.absolutePath,ae=ee.segments,se=0,fe=0,me=0,Ae=0,Te=0,Fe,Ue;if(y&&Os(y)&&b){var je=y.parentNode.getStartTangent(),Ke=(0,Wn.Z)(je,2),Ze=Ke[0],Je=Ke[1];Fe=Ze[0]-Je[0],Ue=Ze[1]-Je[1],Te=Math.atan2(Ue,Fe),se=Math.cos(Te)*(b||0),fe=Math.sin(Te)*(b||0)}if(x&&Os(x)&&z){var tt=x.parentNode.getEndTangent(),at=(0,Wn.Z)(tt,2),st=at[0],ft=at[1];Fe=st[0]-ft[0],Ue=st[1]-ft[1],Te=Math.atan2(Ue,Fe),me=Math.cos(Te)*(z||0),Ae=Math.sin(Te)*(z||0)}for(var 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ft=b.context.contextService.getDomElement();x.globalThis.navigator.msPointerEnabled?(ft.style.msContentZooming="none",ft.style.msTouchAction="none"):ae.supportsPointerEvents&&(ft.style.touchAction="none"),ae.supportsPointerEvents?Ke(ft):Je(ft),ae.supportsTouchEvents&&Ze(ft),re.useNativeClickEvent&&ft.addEventListener("click",je,!0),ft.addEventListener("wheel",Ue,{passive:!0,capture:!0})}),z.hooks.destroy.tap(E.tag,function(){var ft=b.context.contextService.getDomElement();x.globalThis.navigator.msPointerEnabled?(ft.style.msContentZooming="",ft.style.msTouchAction=""):ae.supportsPointerEvents&&(ft.style.touchAction=""),ae.supportsPointerEvents?tt(ft):st(ft),ae.supportsTouchEvents&&at(ft),re.useNativeClickEvent&&ft.removeEventListener("click",je,!0),ft.removeEventListener("wheel",Ue,!0)})}}])}();ww.tag="DOMInteraction";var qF=function(E){function a(){var y;(0,Ar.Z)(this,a);for(var x=arguments.length,b=new Array(x),z=0;z1&&arguments[1]!==void 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x=this.context.config,b=x.document,z=x.width,ee=x.height,re=this.context.contextService.getDomElement(),ae=re.parentNode;if(ae){var se=$F,fe=ae.querySelector("#".concat(se));if(!fe){var me=(b||document).createElement("div");me.style.overflow="hidden",me.style.pointerEvents="none",me.style.position="absolute",me.style.left="0px",me.style.top="0px",me.style.width="".concat(z||0,"px"),me.style.height="".concat(ee||0,"px");var Ae=(b||document).createElement("div");fe=Ae,Ae.id=se,Ae.style.position="absolute",Ae.style.left="".concat(re.offsetLeft||0,"px"),Ae.style.top="".concat(re.offsetTop||0,"px"),Ae.style.transformOrigin="left top",Ae.style.transform=this.joinTransformMatrix(y.getOrthoMatrix()),Ae.style.pointerEvents="none",Ae.style.width="100%",Ae.style.height="100%",me.appendChild(Ae),ae.appendChild(me)}return fe}return null}},{key:"getOrCreateEl",value:function(y){var x=this.context.config.document,b=this.displayObjectHTMLElementMap.get(y);return b||(b=(x||document).createElement("div"),y.parsedStyle.$el=b,this.displayObjectHTMLElementMap.set(y,b),y.id&&(b.id=y.id),y.name&&b.setAttribute("name",y.name),y.className&&(b.className=y.className),b.style.position="absolute",b.style["will-change"]="transform",b.style.transform=this.joinTransformMatrix(y.getWorldTransform(),y.getOrigin())),b}},{key:"updateAttribute",value:function(y,x){var b=this.getOrCreateEl(x);switch(y){case"innerHTML":var z=x.parsedStyle.innerHTML;Ls(z)?b.innerHTML=z:(b.innerHTML="",b.appendChild(z));break;case"x":b.style.left="".concat(x.parsedStyle.x,"px");break;case"y":b.style.top="".concat(x.parsedStyle.y,"px");break;case"transformOrigin":var ee=x.parsedStyle.transformOrigin;b.style["transform-origin"]="".concat(ee[0].buildCSSText(null,null,"")," ").concat(ee[1].buildCSSText(null,null,""));break;case"width":var re=x.parsedStyle.width;b.style.width=Oi(re)?"".concat(re,"px"):re.toString();break;case"height":var ae=x.parsedStyle.height;b.style.height=Oi(ae)?"".concat(ae,"px"):ae.toString();break;case"zIndex":var se=x.parsedStyle.zIndex;b.style["z-index"]="".concat(se);break;case"visibility":var fe=x.parsedStyle.visibility;b.style.visibility=fe;break;case"pointerEvents":var me=x.parsedStyle.pointerEvents,Ae=me===void 0?"auto":me;b.style.pointerEvents=Ae;break;case"opacity":var Te=x.parsedStyle.opacity;b.style.opacity="".concat(Te);break;case"fill":var Fe=x.parsedStyle.fill,Ue="";Lm(Fe)?Fe.isNone?Ue="transparent":Ue=x.getAttribute("fill"):Array.isArray(Fe)?Ue=x.getAttribute("fill"):ag(Fe),b.style.background=Ue;break;case"stroke":var je=x.parsedStyle.stroke,Ke="";Lm(je)?je.isNone?Ke="transparent":Ke=x.getAttribute("stroke"):Array.isArray(je)?Ke=x.getAttribute("stroke"):ag(je),b.style["border-color"]=Ke,b.style["border-style"]="solid";break;case"lineWidth":var 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re=this.bootstrapEvent(this.rootPointerEvent,ee,b,y);yv(x.context.eventService,"mappingTable.pointerupoutside",[]),x.context.eventService.mapEvent(re)})}}get eventService(){return this.context.canvas.context.eventService}get events(){return[ga.CLICK,ga.POINTER_DOWN,ga.POINTER_MOVE,ga.POINTER_UP,ga.POINTER_OVER,ga.POINTER_LEAVE]}getDomElement(){return this.getShape("key").getDomElement()}render(a=this.parsedAttributes,y=this){this.drawKeyShape(a,y),this.drawPortShapes(a,y)}getKeyStyle(a){const y=xg(a,["dx","dy","innerHTML","pointerEvents","cursor"]),{dx:x=0,dy:b=0}=y,z=i8(y,["dx","dy"]),[ee,re]=this.getSize(a);return Object.assign(Object.assign({x,y:b},z),{width:ee,height:re})}drawKeyShape(a,y){const x=this.getKeyStyle(a),{x:b,y:z,width:ee=0,height:re=0}=x,ae=this.upsert("key-container",Du,{x:b,y:z,width:ee,height:re,opacity:0},y);return this.upsert("key",av,x,ae)}connectedCallback(){if(!(this.context.canvas.getRenderer("main")instanceof Sv))return;const x=this.getDomElement();this.events.forEach(b=>{x.addEventListener(b,this.forwardEvents)})}attributeChangedCallback(a,y,x){a==="zIndex"&&y!==x&&(this.getDomElement().style.zIndex=x)}destroy(){const a=this.getDomElement();this.events.forEach(y=>{a.removeEventListener(y,this.forwardEvents)}),super.destroy()}normalizeToPointerEvent(a,y){const x=[];if(y.isTouchEvent(a))for(let b=0;bthis.context.element.getElement(ee)).filter(Boolean);if(b.length===0){const ee=new il,{x:re=0,y:ae=0,size:se}=a,[fe,me]=zc(se);return ee.setMinMax([re-fe/2,ae-me/2,0],[re+fe/2,ae+me/2,0]),ee}const z=dv(b.map(ee=>ee.getBounds()));return x?uh(z,x):z}drawCollapsedMarkerShape(a,y){const x=this.getCollapsedMarkerStyle(a);this.upsert("collapsed-marker",vw,x,y),RA(this)}getCollapsedMarkerStyle(a){if(!a.collapsed||!a.collapsedMarker)return!1;const y=eu(this.getGraphicStyle(a),"collapsedMarker"),{type:x}=y,b=Lw(y,["type"]),z=this.getShape("key"),[ee,re]=Tf(z.getLocalBounds(),"center"),ae=Object.assign(Object.assign({},b),{x:ee,y:re});if(x){const se=this.getCollapsedMarkerText(x,a);Object.assign(ae,{text:se})}return ae}getCollapsedMarkerText(a,y){const{childrenData:x=[]}=y,{model:b}=this.context;return a==="descendant-count"?b.getDescendantsData(this.id).length.toString():a==="child-count"?x.length.toString():a==="node-count"?b.getDescendantsData(this.id).filter(z=>b.getElementType(_r(z))==="node").length.toString():Gi(a)?a(x):""}getComboPosition(a){const{x:y=0,y:x=0,collapsed:b,childrenData:z=[]}=a;if(z.length===0)return[+y,+x,0];if(b){const{model:ee}=this.context,re=ee.getDescendantsData(this.id).filter(ae=>!ee.isCombo(_r(ae)));if(re.length>0&&re.some(I_)){const ae=re.reduce((se,fe)=>ko(se,uu(fe)),[0,0,0]);return Nd(ae,re.length)}return[+y,+x,0]}return this.getContentBBox(a).center}getComboStyle(a){const[y,x]=this.getComboPosition(a);return{x:y,y:x,transform:[["translate",y,x]]}}updateComboPosition(a){const y=this.getComboStyle(a);Object.assign(this.style,y);const{x,y:b}=y;this.context.model.syncNodeLikeDatum({id:this.id,style:{x,y:b}}),_A(this)}render(a,y=this){super.render(a,y),this.drawCollapsedMarkerShape(a,y)}update(a={}){super.update(a),this.updateComboPosition(this.parsedAttributes)}onframe(){super.onframe(),this.attributes.collapsed||this.updateComboPosition(this.parsedAttributes),this.drawKeyShape(this.parsedAttributes,this)}animate(a,y){const x=super.animate(this.attributes.collapsed?a:a.map(b=>{var{x:z,y:ee,z:re,transform:ae}=b,se=Lw(b,["x","y","z","transform"]);return se}),y);return x&&new Proxy(x,{set:(b,z,ee)=>(z==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(b,z,ee))})}}v0.defaultStyleProps={childrenNode:[],droppable:!0,draggable:!0,collapsed:!1,collapsedSize:32,collapsedMarker:!0,collapsedMarkerZIndex:1,collapsedMarkerFontSize:12,collapsedMarkerTextAlign:"center",collapsedMarkerTextBaseline:"middle",collapsedMarkerType:"child-count"};class l8 extends v0{constructor(a){super(a)}drawKeyShape(a,y){return this.upsert("key",wf,this.getKeyStyle(a),y)}getKeyStyle(a){const{collapsed:y}=a,x=super.getKeyStyle(a),[b]=this.getKeySize(a);return Object.assign(Object.assign(Object.assign({},x),y&&eu(x,"collapsed")),{r:b/2})}getCollapsedKeySize(a){const[y,x]=zc(a.collapsedSize),b=Math.max(y,x)/2;return[b*2,b*2,0]}getExpandedKeySize(a){const y=this.getContentBBox(a),[x,b]=sh(y),z=Math.sqrt(Math.pow(x,2)+Math.pow(b,2))/2;return[z*2,z*2,0]}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return Pp(a,x,y)}}class u8 extends 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Fe=[ae[0]+fe*Math.cos(Tw[b]),ae[1]+fe*Math.sin(Tw[b])];me=fh(hg(Fe,ee),Fe,.01)}else me=fh(hg(ae,ee),ae,-.01);let Ae=bv(me,se,ee),Te=[mv(me,2),mv(Ae,2)];if(Vl(mv(me),mv(Ae))){const Fe=PA(qs(me,ae),[1,0,0])+Math.PI/2;Ae=[se[0]+fe*Math.cos(Fe),se[1]+fe*Math.sin(Fe),0],Ae=mv(fh(hg(Ae,ee),se,-.01),2);const Ue=bv(me,Ae,ee);Te=[me,Ue,Ae]}return{points:re?Te.reverse():Te,direction:ac(re?me:Ae,a)}}function bv(E,a,y){let x=[E[0],a[1]];return Od(x,y)&&(x=[a[0],E[1]]),x}function Rw(E,a,y,x,b){let ae=typeof a=="number"?a:.5;a==="start"&&(ae=0),a==="end"&&(ae=.99);const se=Iu(E.getPoint(ae)),fe=Iu(E.getPoint(ae+.01));let me=a==="start"?"left":a==="end"?"right":"center";if(X2(se,fe)||!y){const[Ke,Ze]=_w(E,ae,x,b);return{transform:[["translate",Ke,Ze]],textAlign:me}}let Ae=Math.atan2(fe[1]-se[1],fe[0]-se[0]);fe[0]{const fe=ee[se-1]||b,me=ee[se+1]||z;if(!J2(fe,ae,me)&&a){const[Ae,Te]=b8(fe,ae,me,a);re.push(["L",Ae[0],Ae[1]],["Q",ae[0],ae[1],Te[0],Te[1]],["L",Te[0],Te[1]])}else 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ee=E.getPorts()[b||z],re=E.getPorts()[z||b];let[ae,se]=kw(E,a,y,ee,re);const fe=w8(E,ae,se,x);return ee&&(ae=Pv(ee,fe[0])),re&&(se=Pv(re,fe.at(-1))),Fw(ae,se,fe)}function w8(E,a,y,x){const b=E.getCenter();if(Vl(a,y)){const z=qs(a,b),ee=[x*Math.sign(z[0])||x/2,x*Math.sign(z[1])||-x/2,0];return[ko(a,ee),ko(y,Bd(ee,[1,-1,1]))]}return[fh(b,a,cl(b,a)+x),fh(b,y,cl(b,y)+x)]}function M8(E,a,y,x,b,z,ee){const re=JA(E),ae=re[z||ee],se=re[ee||z];let[fe,me]=kw(E,y,x,ae,se);const Ae=D8(E,fe,me,b);return ae&&(fe=Pv(ae,Ae[0])),se&&(me=Pv(se,Ae.at(-1))),ZA([fe,...Ae,me],a)}function D8(E,a,y,x){const b=[],z=lh(E);if(Vl(a,y))switch(fv(a,z)){case"left":b.push([a[0]-x,a[1]]),b.push([a[0]-x,a[1]+x]),b.push([a[0],a[1]+x]);break;case"right":b.push([a[0]+x,a[1]]),b.push([a[0]+x,a[1]+x]),b.push([a[0],a[1]+x]);break;case"top":b.push([a[0],a[1]-x]),b.push([a[0]+x,a[1]-x]),b.push([a[0]+x,a[1]]);break;case"bottom":b.push([a[0],a[1]+x]),b.push([a[0]+x,a[1]+x]),b.push([a[0]+x,a[1]]);break}else{const ee=fv(a,z),re=fv(y,z);if(ee===re){const ae=ee;let se,fe;switch(ae){case"left":se=Math.min(a[0],y[0])-x,b.push([se,a[1]]),b.push([se,y[1]]);break;case"right":se=Math.max(a[0],y[0])+x,b.push([se,a[1]]),b.push([se,y[1]]);break;case"top":fe=Math.min(a[1],y[1])-x,b.push([a[0],fe]),b.push([y[0],fe]);break;case"bottom":fe=Math.max(a[1],y[1])+x,b.push([a[0],fe]),b.push([y[0],fe]);break}}else{const ae=(Ae,Te)=>({left:[Te[0]-x,Te[1]],right:[Te[0]+x,Te[1]],top:[Te[0],Te[1]-x],bottom:[Te[0],Te[1]+x]})[Ae],se=ae(ee,a),fe=ae(re,y),me=bv(se,fe,z);b.push(se,me,fe)}}return b}function QA(E,a){const y=new Set,x=new Set,b=new Set;return E.forEach(z=>{a(z).forEach(re=>{y.add(re),E.includes(re.source)&&E.includes(re.target)?x.add(re):b.add(re)})}),{edges:Array.from(y),internal:Array.from(x),external:Array.from(b)}}function zw(E,a){const y=[];let x=E;for(;x;){y.push(x);const b=a(_r(x));if(b)x=b;else break}if(y.some(b=>{var z;return(z=b.style)===null||z===void 0?void 0:z.collapsed})){const 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b&&(ae[se]=b[se])}),ae}getLoopPath(a){const{sourcePort:y,targetPort:x}=a,b=this.sourceNode,z=lh(b),ee=Math.max(sf(z),lf(z)),{placement:re,clockwise:ae,dist:se=ee}=eu(this.getGraphicStyle(a),"loop");return P8(b,re,ae,se,y,x)}getEndpoints(a,y=!0,x=[]){const{sourcePort:b,targetPort:z}=a,{sourceNode:ee,targetNode:re}=this,[ae,se]=Z8(ee,re,b,z);if(!y){const Te=ae?mh(ae):ee.getCenter(),Fe=se?mh(se):re.getCenter();return[Te,Fe]}const fe=typeof x=="function"?x():x,me=Qw(ae||ee,fe[0]||se||re),Ae=Qw(se||re,fe[fe.length-1]||ae||ee);return[me,Ae]}getHaloStyle(a){if(a.halo===!1)return!1;const y=this.getKeyStyle(a),x=eu(this.getGraphicStyle(a),"halo");return Object.assign(Object.assign({},y),x)}getLabelStyle(a){if(a.label===!1||!a.labelText)return!1;const y=eu(this.getGraphicStyle(a),"label"),{placement:x,offsetX:b,offsetY:z,autoRotate:ee,maxWidth:re}=y,ae=Hp(y,["placement","offsetX","offsetY","autoRotate","maxWidth"]),se=Rw(this.shapeMap.key,x,ee,b,z),fe=this.shapeMap.key.getLocalBounds(),me=H_([fe.min,fe.max],re);return Object.assign({wordWrapWidth:me},se,ae)}getBadgeStyle(a){if(a.badge===!1||!a.badgeText)return!1;const y=eu(a,"badge"),{offsetX:x,offsetY:b,placement:z}=y,ee=Hp(y,["offsetX","offsetY","placement"]);return Object.assign(ee,E8(this.shapeMap,z,a.labelPlacement,x,b))}drawArrow(a,y){var x;const b=y==="start",ee=a[y==="start"?"startArrow":"endArrow"],re=this.shapeMap.key;if(ee){const ae=this.getArrowStyle(a,b),[se,fe,me]=b?["markerStart","markerStartOffset","startArrowOffset"]:["markerEnd","markerEndOffset","endArrowOffset"],Ae=re.parsedStyle[se];if(Ae)Ae.attr(ae);else{const Te=ae.src?iv:Rc,Fe=new Te({style:ae});re.style[se]=Fe}re.style[fe]=a[me]||ae.width/2+ +ae.lineWidth}else{const ae=b?"markerStart":"markerEnd";(x=re.style[ae])===null||x===void 0||x.destroy(),re.style[ae]=null}}getArrowStyle(a,y){const x=this.getShape("key").attributes,b=y?"startArrow":"endArrow",z=eu(this.getGraphicStyle(a),b),{size:ee,type:re}=z,ae=Hp(z,["size","type"]),[se,fe]=zc(I8(x.lineWidth,ee)),Ae=(Gi(re)?re:Ve[re]||Uw)(se,fe);return Object.assign(xg(x,["stroke","strokeOpacity","fillOpacity"]),{width:se,height:fe},Object.assign({},Ae&&{d:Ae,fill:re==="simple"?"":x.stroke}),ae)}drawLabelShape(a,y){const x=this.getLabelStyle(a);this.upsert("label",hh,x,y)}drawHaloShape(a,y){const x=this.getHaloStyle(a);this.upsert("halo",Rc,x,y)}drawBadgeShape(a,y){const x=this.getBadgeStyle(a);this.upsert("badge",h0,x,y)}drawSourceArrow(a){this.drawArrow(a,"start")}drawTargetArrow(a){this.drawArrow(a,"end")}drawKeyShape(a,y){const x=this.getKeyStyle(a);return this.upsert("key",Rc,x,y)}render(a=this.parsedAttributes,y=this){this.drawKeyShape(a,y),this.getShape("key")&&(this.drawSourceArrow(a),this.drawTargetArrow(a),this.drawLabelShape(a,y),this.drawHaloShape(a,y),this.drawBadgeShape(a,y))}onframe(){this.drawKeyShape(this.parsedAttributes,this),this.drawSourceArrow(this.parsedAttributes),this.drawTargetArrow(this.parsedAttributes),this.drawHaloShape(this.parsedAttributes,this),this.drawLabelShape(this.parsedAttributes,this),this.drawBadgeShape(this.parsedAttributes,this)}animate(a,y){const x=super.animate(a,y);return x&&new Proxy(x,{set:(b,z,ee)=>(z==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(b,z,ee))})}}vh.defaultStyleProps={badge:!0,badgeOffsetX:0,badgeOffsetY:0,badgePlacement:"suffix",isBillboard:!0,label:!0,labelAutoRotate:!0,labelIsBillboard:!0,labelMaxWidth:"80%",labelOffsetX:4,labelOffsetY:0,labelPlacement:"center",labelTextBaseline:"middle",labelWordWrap:!1,halo:!1,haloDroppable:!1,haloLineDash:0,haloLineWidth:12,haloPointerEvents:"none",haloStrokeOpacity:.25,haloZIndex:-1,loop:!0,startArrow:!1,startArrowLineDash:0,startArrowLineJoin:"round",startArrowLineWidth:1,startArrowTransformOrigin:"center",startArrowType:"vee",endArrow:!1,endArrowLineDash:0,endArrowLineJoin:"round",endArrowLineWidth:1,endArrowTransformOrigin:"center",endArrowType:"vee",loopPlacement:"top",loopClockwise:!0};class Sg extends vh{constructor(a){super(Eu({style:Sg.defaultStyleProps},a))}getKeyPath(a){const[y,x]=this.getEndpoints(a),{controlPoints:b,curvePosition:z,curveOffset:ee}=a,re=this.getControlPoints(y,x,x8(z),A8(ee),b);return Fw(y,x,re)}getControlPoints(a,y,x,b,z){return(z==null?void 0:z.length)===2?z:[KA(a,y,x[0],b[0]),KA(a,y,x[1],b[1])]}}Sg.defaultStyleProps={curvePosition:.5,curveOffset:20};class Kp extends Sg{constructor(a){super(Eu({style:Kp.defaultStyleProps},a))}getControlPoints(a,y,x,b){const z=y[0]-a[0];return[[a[0]+z*x[0]+b[0],a[1]],[y[0]-z*x[1]+b[1],y[1]]]}}Kp.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Zp extends Sg{constructor(a){super(Eu({style:Zp.defaultStyleProps},a))}get ref(){return this.context.model.getRootsData()[0]}getEndpoints(a){if(this.sourceNode.id===this.ref.id)return super.getEndpoints(a);const y=uu(this.ref),x=this.sourceNode.getIntersectPoint(y,!0),b=this.targetNode.getIntersectPoint(y);return[x,b]}toRadialCoordinate(a){const y=uu(this.ref),x=cl(a,y),b=K2(qs(a,y));return[x,b]}getControlPoints(a,y,x,b){const[z,ee]=this.toRadialCoordinate(a),[re]=this.toRadialCoordinate(y),ae=re-z;return[[a[0]+(ae*x[0]+b[0])*Math.cos(ee),a[1]+(ae*x[0]+b[0])*Math.sin(ee)],[y[0]-(ae*x[1]-b[0])*Math.cos(ee),y[1]-(ae*x[1]-b[0])*Math.sin(ee)]]}}Zp.defaultStyleProps={curvePosition:.5,curveOffset:20};class Qp extends Sg{constructor(a){super(Eu({style:Qp.defaultStyleProps},a))}getControlPoints(a,y,x,b){const z=y[1]-a[1];return[[a[0],a[1]+z*x[0]+b[0]],[y[0],y[1]-z*x[1]+b[1]]]}}Qp.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Yp extends vh{constructor(a){super(Eu({style:Yp.defaultStyleProps},a))}getKeyPath(a){const[y,x]=this.getEndpoints(a);return[["M",y[0],y[1]],["L",x[0],x[1]]]}}Yp.defaultStyleProps={};const 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se[Nf(lt)]);const Fe={},Ue={},je={},Ke={},Ze={},Je=new j8;for(let lt=0;ltNf(lt));let at=ee.maximumLoops,st,ft=1/0;for(const[lt,wt]of Object.entries(Fe))Ze[lt]<=ft&&(ft=Ze[lt],st=wt);for(;Object.keys(Fe).length>0&&at>0;){const lt=Je.minId(!1);if(lt)st=Fe[lt];else break;const wt=Nf(st);if(tt.includes(wt))return U8(st,je,fe,z,Ae,me,re);delete Fe[wt],Je.remove(wt),Ue[wt]=!0;for(const Bt of Object.values(ee.directionMap)){const Vt=ko(st,[Bt.stepX,Bt.stepY]),Xt=Nf(Vt);if(Ue[Xt])continue;const vn=jw(st,Vt,je,fe);if(vn>ee.maxAllowedDirectionChange||se[Xt])continue;Fe[Xt]||(Fe[Xt]=Vt);const on=ee.penalties[vn],wn=ee.distFunc(st,Vt)+(isNaN(on)?re:on),qn=Ke[wt]+wn,yn=Ke[Xt];yn&&qn>=yn||(je[Xt]=st,Ke[Xt]=qn,Ze[Xt]=qn+Gw(Vt,Te,ee.distFunc),Je.add({id:Xt,value:Ze[Xt]}))}at-=1}return[]}class j8{constructor(){this.arr=[],this.map={},this.arr=[],this.map={}}_innerAdd(a,y){let x=0,b=y-1;for(;b-x>1;){const z=Math.floor((x+b)/2);if(this.arr[z].value>a.value)b=z;else 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tk(E,a){const{zIndex:y,transform:x,transformOrigin:b,visibility:z,cursor:ee,clipPath:re,component:ae}=a,se=G8(a,["zIndex","transform","transformOrigin","visibility","cursor","clipPath","component"]);Object.assign(E.attributes,se),x&&E.setAttribute("transform",x),Oi(y)&&E.setAttribute("zIndex",y),b&&E.setAttribute("transformOrigin",b),z&&E.setAttribute("visibility",z),ee&&E.setAttribute("cursor",ee),re&&E.setAttribute("clipPath",re),ae&&E.setAttribute("component",ae)}function $A(E,a){"update"in E?E.update(a):E.attr(a)}function nk(E){return[[0,E],[E*Math.sqrt(3)/2,E/2],[E*Math.sqrt(3)/2,-E/2],[0,-E],[-E*Math.sqrt(3)/2,-E/2],[-E*Math.sqrt(3)/2,E/2]]}function rk(E){yv(E,"__to_be_destroyed__",!0)}function qp(E){return rc(E,"__to_be_destroyed__",!1)}var ak=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function 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Jw=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class Mv extends kc{constructor(a,y){super(a,Object.assign({},Mv.defaultOptions,y)),this.enable=!1,this.enableElements=["node","combo"],this.target=[],this.shadowOrigin=[0,0],this.hiddenEdges=[],this.isDragging=!1,this.onDrop=x=>Jw(this,void 0,void 0,function*(){var b;if(this.options.dropEffect!=="link")return;const{model:z,element:ee}=this.context,re=x.target.id;this.target.forEach(ae=>{const se=z.getParentData(ae,rl);se&&_r(se)===re&&z.refreshComboData(re),z.setParent(ae,re,rl)}),yield(b=ee==null?void 0:ee.draw({animation:!0}))===null||b===void 0?void 0:b.finished}),this.setCursor=x=>{if(this.isDragging)return;const{type:b}=x,{canvas:z}=this.context,{cursor:ee}=this.options;b===ga.POINTER_ENTER?z.setCursor((ee==null?void 0:ee.grab)||"grab"):z.setCursor((ee==null?void 0:ee.default)||"default")},this.onDragStart=this.onDragStart.bind(this),this.onDrag=this.onDrag.bind(this),this.onDragEnd=this.onDragEnd.bind(this),this.onDrop=this.onDrop.bind(this),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{graph:a,canvas:y}=this.context,x=y.getLayer().getContextService().$canvas;x&&(x.addEventListener("blur",this.onDragEnd),x.addEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(b=>{a.on(`${b}:${ga.DRAG_START}`,this.onDragStart),a.on(`${b}:${ga.DRAG}`,this.onDrag),a.on(`${b}:${ga.DRAG_END}`,this.onDragEnd),a.on(`${b}:${ga.POINTER_ENTER}`,this.setCursor),a.on(`${b}:${ga.POINTER_LEAVE}`,this.setCursor)}),["link"].includes(this.options.dropEffect)&&(a.on(fg.DROP,this.onDrop),a.on(Df.DROP,this.onDrop))}getSelectedNodeIDs(a){return Array.from(new Set(this.context.graph.getElementDataByState("node",this.options.state).map(y=>y.id).concat(a)))}getDelta(a){const y=this.context.graph.getZoom();return Nd([a.dx,a.dy],y)}onDragStart(a){var y;if(this.enable=this.validate(a),!this.enable)return;const{batch:x,canvas:b,graph:z}=this.context;b.setCursor(((y=this.options.cursor)===null||y===void 0?void 0:y.grabbing)||"grabbing"),this.isDragging=!0,x.startBatch();const ee=a.target.id;z.getElementState(ee).includes(this.options.state)?this.target=this.getSelectedNodeIDs([ee]):this.target=[ee],this.hideEdge(),this.context.graph.frontElement(this.target),this.options.shadow&&this.createShadow(this.target)}onDrag(a){if(!this.enable)return;const y=this.getDelta(a);this.options.shadow?this.moveShadow(y):this.moveElement(this.target,y)}onDragEnd(){var a,y,x;if(this.enable=!1,this.options.shadow){if(!this.shadow)return;this.shadow.style.visibility="hidden";const{x:ee=0,y:re=0}=this.shadow.attributes,[ae,se]=qs([+ee,+re],this.shadowOrigin);this.moveElement(this.target,[ae,se])}this.showEdges(),(y=(a=this.options).onFinish)===null||y===void 0||y.call(a,this.target);const{batch:b,canvas:z}=this.context;b.endBatch(),z.setCursor(((x=this.options.cursor)===null||x===void 0?void 0:x.grab)||"grab"),this.isDragging=!1,this.target=[]}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}moveElement(a,y){return Jw(this,void 0,void 0,function*(){const{graph:x,model:b}=this.context,{dropEffect:z}=this.options;z==="move"&&a.forEach(ee=>b.refreshComboData(ee)),x.translateElementBy(Object.fromEntries(a.map(ee=>[ee,y])),!1)})}moveShadow(a){if(!this.shadow)return;const{x:y=0,y:x=0}=this.shadow.attributes,[b,z]=a;this.shadow.attr({x:+y+b,y:+x+z})}createShadow(a){const y=eu(this.options,"shadow"),x=dv(a.map(se=>this.context.element.getElement(se).getBounds())),[b,z]=x.min;this.shadowOrigin=[b,z];const[ee,re]=sh(x),ae={width:ee,height:re,x:b,y:z};this.shadow?this.shadow.attr(Object.assign(Object.assign(Object.assign({},y),ae),{visibility:"visible"})):(this.shadow=new Du({style:Object.assign(Object.assign(Object.assign({$layer:"transient"},y),ae),{pointerEvents:"none"})}),this.context.canvas.appendChild(this.shadow))}showEdges(){this.options.shadow||this.hiddenEdges.length===0||(this.context.graph.showElement(this.hiddenEdges),this.hiddenEdges=[])}hideEdge(){const{hideEdge:a,shadow:y}=this.options;if(a==="none"||y)return;const{graph:x}=this.context;a==="all"?this.hiddenEdges=x.getEdgeData().map(_r):this.hiddenEdges=Array.from(new Set(this.target.map(b=>x.getRelatedEdgesData(b,a).map(_r)).flat())),x.hideElement(this.hiddenEdges)}unbindEvents(){const{graph:a,canvas:y}=this.context,x=y.getLayer().getContextService().$canvas;x&&(x.removeEventListener("blur",this.onDragEnd),x.removeEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(b=>{a.off(`${b}:${ga.DRAG_START}`,this.onDragStart),a.off(`${b}:${ga.DRAG}`,this.onDrag),a.off(`${b}:${ga.DRAG_END}`,this.onDragEnd),a.off(`${b}:${ga.POINTER_ENTER}`,this.setCursor),a.off(`${b}:${ga.POINTER_LEAVE}`,this.setCursor)}),a.off(`combo:${ga.DROP}`,this.onDrop),a.off(`canvas:${ga.DROP}`,this.onDrop)}destroy(){var a;this.unbindEvents(),(a=this.shadow)===null||a===void 0||a.destroy(),super.destroy()}}Mv.defaultOptions={animation:!0,enable:E=>["node","combo"].includes(E.targetType),dropEffect:"move",state:"selected",hideEdge:"none",shadow:!1,shadowZIndex:100,shadowFill:"#F3F9FF",shadowFillOpacity:.5,shadowStroke:"#1890FF",shadowStrokeOpacity:.9,shadowLineDash:[5,5],cursor:{default:"default",grab:"grab",grabbing:"grabbing"}};var lk="*",uk=function(){function E(){this._events={}}return E.prototype.on=function(a,y,x){return this._events[a]||(this._events[a]=[]),this._events[a].push({callback:y,once:!!x}),this},E.prototype.once=function(a,y){return this.on(a,y,!0)},E.prototype.emit=function(a){for(var y=this,x=[],b=1;b{a.has(ee.id)||(a.add(ee.id),E.push(ee))})}return!1}function oy(E,a,y,x){if(y(E))return!0;a.add(E.id);for(const z of x(E.id))if(!a.has(z.id)&&oy(z,a,y,x))return!0;return!1}const qw=()=>!0;class ck{constructor(a){Al(this,"graph");Al(this,"nodeFilter");Al(this,"edgeFilter");Al(this,"cacheEnabled");Al(this,"inEdgesMap",new Map);Al(this,"outEdgesMap",new Map);Al(this,"bothEdgesMap",new Map);Al(this,"allNodesMap",new Map);Al(this,"allEdgesMap",new Map);Al(this,"clearCache",()=>{this.inEdgesMap.clear(),this.outEdgesMap.clear(),this.bothEdgesMap.clear(),this.allNodesMap.clear(),this.allEdgesMap.clear()});Al(this,"refreshCache",()=>{this.clearCache(),this.updateCache(this.graph.getAllNodes().map(a=>a.id))});Al(this,"updateCache",a=>{const y=new Set;a.forEach(x=>{const b=this.bothEdgesMap.get(x);if(b&&b.forEach(z=>y.add(z.id)),!this.hasNode(x))this.inEdgesMap.delete(x),this.outEdgesMap.delete(x),this.bothEdgesMap.delete(x),this.allNodesMap.delete(x);else{const z=this.graph.getRelatedEdges(x,"in").filter(this.edgeFilter),ee=this.graph.getRelatedEdges(x,"out").filter(this.edgeFilter),re=Array.from(new Set([...z,...ee]));re.forEach(ae=>y.add(ae.id)),this.inEdgesMap.set(x,z),this.outEdgesMap.set(x,ee),this.bothEdgesMap.set(x,re),this.allNodesMap.set(x,this.graph.getNode(x))}}),y.forEach(x=>{this.hasEdge(x)?this.allEdgesMap.set(x,this.graph.getEdge(x)):this.allEdgesMap.delete(x)})});Al(this,"handleGraphChanged",a=>{const y=new Set;a.changes.forEach(x=>{switch(x.type){case"NodeAdded":y.add(x.value.id);break;case"NodeDataUpdated":y.add(x.id);break;case"EdgeAdded":y.add(x.value.source),y.add(x.value.target);break;case"EdgeUpdated":(x.propertyName==="source"||x.propertyName==="target")&&(y.add(x.oldValue),y.add(x.newValue));break;case"EdgeDataUpdated":if(a.graph.hasEdge(x.id)){const b=a.graph.getEdge(x.id);y.add(b.source),y.add(b.target)}break;case"EdgeRemoved":y.add(x.value.source),y.add(x.value.target);break;case"NodeRemoved":y.add(x.value.id);break;default:break}}),this.updateCache(y)});this.graph=a.graph;const y=a.nodeFilter||qw,x=a.edgeFilter||qw;this.nodeFilter=y,this.edgeFilter=b=>{const{source:z,target:ee}=this.graph.getEdgeDetail(b.id);return!y(z)||!y(ee)?!1:x(b,z,ee)},a.cache==="auto"?(this.cacheEnabled=!0,this.startAutoCache()):a.cache==="manual"?this.cacheEnabled=!0:this.cacheEnabled=!1}startAutoCache(){this.refreshCache(),this.graph.on("changed",this.handleGraphChanged)}stopAutoCache(){this.graph.off("changed",this.handleGraphChanged)}checkNodeExistence(a){this.getNode(a)}hasNode(a){if(!this.graph.hasNode(a))return!1;const y=this.graph.getNode(a);return this.nodeFilter(y)}areNeighbors(a,y){return this.checkNodeExistence(a),this.getNeighbors(y).some(x=>x.id===a)}getNode(a){const y=this.graph.getNode(a);if(!this.nodeFilter(y))throw new Error("Node not found for id: "+a);return y}getRelatedEdges(a,y){return this.checkNodeExistence(a),this.cacheEnabled?y==="in"?this.inEdgesMap.get(a):y==="out"?this.outEdgesMap.get(a):this.bothEdgesMap.get(a):this.graph.getRelatedEdges(a,y).filter(this.edgeFilter)}getDegree(a,y){return this.getRelatedEdges(a,y).length}getSuccessors(a){const x=this.getRelatedEdges(a,"out").map(b=>this.getNode(b.target));return Array.from(new Set(x))}getPredecessors(a){const x=this.getRelatedEdges(a,"in").map(b=>this.getNode(b.source));return Array.from(new Set(x))}getNeighbors(a){const y=this.getPredecessors(a),x=this.getSuccessors(a);return Array.from(new Set([...y,...x]))}hasEdge(a){if(!this.graph.hasEdge(a))return!1;const y=this.graph.getEdge(a);return this.edgeFilter(y)}getEdge(a){const y=this.graph.getEdge(a);if(!this.edgeFilter(y))throw new Error("Edge not found for id: "+a);return y}getEdgeDetail(a){const y=this.getEdge(a);return{edge:y,source:this.getNode(y.source),target:this.getNode(y.target)}}hasTreeStructure(a){return this.graph.hasTreeStructure(a)}getRoots(a){return this.graph.getRoots(a).filter(this.nodeFilter)}getChildren(a,y){return this.checkNodeExistence(a),this.graph.getChildren(a,y).filter(this.nodeFilter)}getParent(a,y){this.checkNodeExistence(a);const x=this.graph.getParent(a,y);return!x||!this.nodeFilter(x)?null:x}getAllNodes(){return this.cacheEnabled?Array.from(this.allNodesMap.values()):this.graph.getAllNodes().filter(this.nodeFilter)}getAllEdges(){return this.cacheEnabled?Array.from(this.allEdgesMap.values()):this.graph.getAllEdges().filter(this.edgeFilter)}bfs(a,y,x="out"){const b={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[x];ex([this.getNode(a)],new Set,y,b)}dfs(a,y,x="out"){const b={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[x];oy(this.getNode(a),new Set,y,b)}}class Zl extends iy{constructor(y){super();Al(this,"nodeMap",new Map);Al(this,"edgeMap",new Map);Al(this,"inEdgesMap",new Map);Al(this,"outEdgesMap",new Map);Al(this,"bothEdgesMap",new Map);Al(this,"treeIndices",new Map);Al(this,"changes",[]);Al(this,"batchCount",0);Al(this,"onChanged",()=>{});Al(this,"batch",y=>{this.batchCount+=1,y(),this.batchCount-=1,this.batchCount||this.commit()});y&&(y.nodes&&this.addNodes(y.nodes),y.edges&&this.addEdges(y.edges),y.tree&&this.addTree(y.tree),y.onChanged&&(this.onChanged=y.onChanged))}commit(){const y=this.changes;this.changes=[];const x={graph:this,changes:y};this.emit("changed",x),this.onChanged(x)}reduceChanges(y){let x=[];return y.forEach(b=>{switch(b.type){case"NodeRemoved":{let z=!1;x=x.filter(ee=>{if(ee.type==="NodeAdded"){const re=ee.value.id===b.value.id;return re&&(z=!0),!re}else{if(ee.type==="NodeDataUpdated")return ee.id!==b.value.id;if(ee.type==="TreeStructureChanged")return ee.nodeId!==b.value.id}return!0}),z||x.push(b);break}case"EdgeRemoved":{let z=!1;x=x.filter(ee=>{if(ee.type==="EdgeAdded"){const re=ee.value.id===b.value.id;return re&&(z=!0),!re}else if(ee.type==="EdgeDataUpdated"||ee.type==="EdgeUpdated")return ee.id!==b.value.id;return!0}),z||x.push(b);break}case"NodeDataUpdated":case"EdgeDataUpdated":case"EdgeUpdated":{const z=x.findIndex(re=>re.type===b.type&&re.id===b.id&&(b.propertyName===void 0||re.propertyName===b.propertyName)),ee=x[z];ee?b.propertyName!==void 0?ee.newValue=b.newValue:(x.splice(z,1),x.push(b)):x.push(b);break}case"TreeStructureDetached":{x=x.filter(z=>z.type==="TreeStructureAttached"||z.type==="TreeStructureChanged"?z.treeKey!==b.treeKey:!0),x.push(b);break}case"TreeStructureChanged":{const z=x.find(ee=>ee.type==="TreeStructureChanged"&&ee.treeKey===b.treeKey&&ee.nodeId===b.nodeId);z?z.newParentId=b.newParentId:x.push(b);break}default:x.push(b);break}}),x}checkNodeExistence(y){this.getNode(y)}hasNode(y){return this.nodeMap.has(y)}areNeighbors(y,x){return this.getNeighbors(x).some(b=>b.id===y)}getNode(y){const x=this.nodeMap.get(y);if(!x)throw new Error("Node not found for id: "+y);return x}getRelatedEdges(y,x){if(this.checkNodeExistence(y),x==="in"){const b=this.inEdgesMap.get(y);return Array.from(b)}else if(x==="out"){const b=this.outEdgesMap.get(y);return Array.from(b)}else{const b=this.bothEdgesMap.get(y);return Array.from(b)}}getDegree(y,x){return this.getRelatedEdges(y,x).length}getSuccessors(y){const b=this.getRelatedEdges(y,"out").map(z=>this.getNode(z.target));return Array.from(new Set(b))}getPredecessors(y){const b=this.getRelatedEdges(y,"in").map(z=>this.getNode(z.source));return Array.from(new Set(b))}getNeighbors(y){const x=this.getPredecessors(y),b=this.getSuccessors(y);return Array.from(new Set([...x,...b]))}doAddNode(y){if(this.hasNode(y.id))throw new Error("Node already exists: "+y.id);this.nodeMap.set(y.id,y),this.inEdgesMap.set(y.id,new Set),this.outEdgesMap.set(y.id,new Set),this.bothEdgesMap.set(y.id,new Set),this.treeIndices.forEach(x=>{x.childrenMap.set(y.id,new Set)}),this.changes.push({type:"NodeAdded",value:y})}addNodes(y){this.batch(()=>{for(const x of y)this.doAddNode(x)})}addNode(y){this.addNodes([y])}doRemoveNode(y){const x=this.getNode(y),b=this.bothEdgesMap.get(y);b==null||b.forEach(z=>this.doRemoveEdge(z.id)),this.nodeMap.delete(y),this.treeIndices.forEach(z=>{var re,ae;(re=z.childrenMap.get(y))==null||re.forEach(se=>{z.parentMap.delete(se.id)});const ee=z.parentMap.get(y);ee&&((ae=z.childrenMap.get(ee.id))==null||ae.delete(x)),z.parentMap.delete(y),z.childrenMap.delete(y)}),this.bothEdgesMap.delete(y),this.inEdgesMap.delete(y),this.outEdgesMap.delete(y),this.changes.push({type:"NodeRemoved",value:x})}removeNodes(y){this.batch(()=>{y.forEach(x=>this.doRemoveNode(x))})}removeNode(y){this.removeNodes([y])}updateNodeDataProperty(y,x,b){const z=this.getNode(y);this.batch(()=>{const ee=z.data[x],re=b;z.data[x]=re,this.changes.push({type:"NodeDataUpdated",id:y,propertyName:x,oldValue:ee,newValue:re})})}mergeNodeData(y,x){this.batch(()=>{Object.entries(x).forEach(([b,z])=>{this.updateNodeDataProperty(y,b,z)})})}updateNodeData(...y){const x=y[0],b=this.getNode(x);if(typeof y[1]=="string"){this.updateNodeDataProperty(x,y[1],y[2]);return}let z;if(typeof y[1]=="function"){const ee=y[1];z=ee(b.data)}else typeof y[1]=="object"&&(z=y[1]);this.batch(()=>{const ee=b.data,re=z;b.data=z,this.changes.push({type:"NodeDataUpdated",id:x,oldValue:ee,newValue:re})})}checkEdgeExistence(y){if(!this.hasEdge(y))throw new Error("Edge not found for id: "+y)}hasEdge(y){return this.edgeMap.has(y)}getEdge(y){return this.checkEdgeExistence(y),this.edgeMap.get(y)}getEdgeDetail(y){const x=this.getEdge(y);return{edge:x,source:this.getNode(x.source),target:this.getNode(x.target)}}doAddEdge(y){if(this.hasEdge(y.id))throw new Error("Edge already exists: "+y.id);this.checkNodeExistence(y.source),this.checkNodeExistence(y.target),this.edgeMap.set(y.id,y);const x=this.inEdgesMap.get(y.target),b=this.outEdgesMap.get(y.source),z=this.bothEdgesMap.get(y.source),ee=this.bothEdgesMap.get(y.target);x.add(y),b.add(y),z.add(y),ee.add(y),this.changes.push({type:"EdgeAdded",value:y})}addEdges(y){this.batch(()=>{for(const x of y)this.doAddEdge(x)})}addEdge(y){this.addEdges([y])}doRemoveEdge(y){const x=this.getEdge(y),b=this.outEdgesMap.get(x.source),z=this.inEdgesMap.get(x.target),ee=this.bothEdgesMap.get(x.source),re=this.bothEdgesMap.get(x.target);b.delete(x),z.delete(x),ee.delete(x),re.delete(x),this.edgeMap.delete(y),this.changes.push({type:"EdgeRemoved",value:x})}removeEdges(y){this.batch(()=>{y.forEach(x=>this.doRemoveEdge(x))})}removeEdge(y){this.removeEdges([y])}updateEdgeSource(y,x){const b=this.getEdge(y);this.checkNodeExistence(x);const z=b.source,ee=x;this.outEdgesMap.get(z).delete(b),this.bothEdgesMap.get(z).delete(b),this.outEdgesMap.get(ee).add(b),this.bothEdgesMap.get(ee).add(b),b.source=x,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:y,propertyName:"source",oldValue:z,newValue:ee})})}updateEdgeTarget(y,x){const b=this.getEdge(y);this.checkNodeExistence(x);const z=b.target,ee=x;this.inEdgesMap.get(z).delete(b),this.bothEdgesMap.get(z).delete(b),this.inEdgesMap.get(ee).add(b),this.bothEdgesMap.get(ee).add(b),b.target=x,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:y,propertyName:"target",oldValue:z,newValue:ee})})}updateEdgeDataProperty(y,x,b){const z=this.getEdge(y);this.batch(()=>{const ee=z.data[x],re=b;z.data[x]=re,this.changes.push({type:"EdgeDataUpdated",id:y,propertyName:x,oldValue:ee,newValue:re})})}updateEdgeData(...y){const x=y[0],b=this.getEdge(x);if(typeof y[1]=="string"){this.updateEdgeDataProperty(x,y[1],y[2]);return}let z;if(typeof y[1]=="function"){const ee=y[1];z=ee(b.data)}else typeof y[1]=="object"&&(z=y[1]);this.batch(()=>{const ee=b.data,re=z;b.data=z,this.changes.push({type:"EdgeDataUpdated",id:x,oldValue:ee,newValue:re})})}mergeEdgeData(y,x){this.batch(()=>{Object.entries(x).forEach(([b,z])=>{this.updateEdgeDataProperty(y,b,z)})})}checkTreeExistence(y){if(!this.hasTreeStructure(y))throw new Error("Tree structure not found for treeKey: "+y)}hasTreeStructure(y){return this.treeIndices.has(y)}attachTreeStructure(y){this.treeIndices.has(y)||(this.treeIndices.set(y,{parentMap:new Map,childrenMap:new Map}),this.batch(()=>{this.changes.push({type:"TreeStructureAttached",treeKey:y})}))}detachTreeStructure(y){this.checkTreeExistence(y),this.treeIndices.delete(y),this.batch(()=>{this.changes.push({type:"TreeStructureDetached",treeKey:y})})}addTree(y,x){this.batch(()=>{this.attachTreeStructure(x);const b=[],z=Array.isArray(y)?y:[y];for(;z.length;){const ee=z.shift();b.push(ee),ee.children&&z.push(...ee.children)}this.addNodes(b),b.forEach(ee=>{var re;(re=ee.children)==null||re.forEach(ae=>{this.setParent(ae.id,ee.id,x)})})})}getRoots(y){return this.checkTreeExistence(y),this.getAllNodes().filter(x=>!this.getParent(x.id,y))}getChildren(y,x){this.checkNodeExistence(y),this.checkTreeExistence(x);const z=this.treeIndices.get(x).childrenMap.get(y);return Array.from(z||[])}getParent(y,x){return this.checkNodeExistence(y),this.checkTreeExistence(x),this.treeIndices.get(x).parentMap.get(y)||null}getAncestors(y,x){const b=[];let z=this.getNode(y),ee;for(;ee=this.getParent(z.id,x);)b.push(ee),z=ee;return b}setParent(y,x,b){var fe,me;this.checkTreeExistence(b);const z=this.treeIndices.get(b);if(!z)return;const ee=this.getNode(y),re=z.parentMap.get(y);if((re==null?void 0:re.id)===x)return;if(x==null){re&&((fe=z.childrenMap.get(re.id))==null||fe.delete(ee)),z.parentMap.delete(y);return}const ae=this.getNode(x);z.parentMap.set(y,ae),re&&((me=z.childrenMap.get(re.id))==null||me.delete(ee));let se=z.childrenMap.get(ae.id);se||(se=new Set,z.childrenMap.set(ae.id,se)),se.add(ee),this.batch(()=>{this.changes.push({type:"TreeStructureChanged",treeKey:b,nodeId:y,oldParentId:re==null?void 0:re.id,newParentId:ae.id})})}dfsTree(y,x,b){const z=ee=>this.getChildren(ee,b);return oy(this.getNode(y),new Set,x,z)}bfsTree(y,x,b){const z=ee=>this.getChildren(ee,b);return ex([this.getNode(y)],new Set,x,z)}getAllNodes(){return Array.from(this.nodeMap.values())}getAllEdges(){return Array.from(this.edgeMap.values())}bfs(y,x,b="out"){const z={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[b];return ex([this.getNode(y)],new Set,x,z)}dfs(y,x,b="out"){const z={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[b];return oy(this.getNode(y),new Set,x,z)}clone(){const y=this.getAllNodes().map(z=>BS(F0({},z),{data:F0({},z.data)})),x=this.getAllEdges().map(z=>BS(F0({},z),{data:F0({},z.data)})),b=new Zl({nodes:y,edges:x});return this.treeIndices.forEach(({parentMap:z,childrenMap:ee},re)=>{const ae=new Map;z.forEach((fe,me)=>{ae.set(me,b.getNode(fe.id))});const se=new Map;ee.forEach((fe,me)=>{se.set(me,new Set(Array.from(fe).map(Ae=>b.getNode(Ae.id))))}),b.treeIndices.set(re,{parentMap:ae,childrenMap:se})}),b}toJSON(){return JSON.stringify({nodes:this.getAllNodes(),edges:this.getAllEdges()})}createView(y){return new ck(F0({graph:this},y))}}class sy{constructor(a,y){this.context=a,this.options=y||{}}}var dk=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})},fk=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{const z=b.data._isCombo?x.combos:x.nodes,{x:ee,y:re,z:ae=0}=b.data;z==null||z.push({id:b.id,style:{x:ee,y:re,z:ae}})}),y.forEach(b=>{const{id:z,source:ee,target:re,data:{points:ae=[],controlPoints:se=ae.slice(1,ae.length-1)}}=b;x.edges.push({id:z,source:ee,target:re,style:Object.assign({},se!=null&&se.length?{controlPoints:se.map(Iu)}:{})})}),x}function vk(E,a){class y extends sy{constructor(b,z){if(super(b,z),this.instance=new E({}),this.id=this.instance.id,"stop"in this.instance&&"tick"in this.instance){const ee=this.instance;this.stop=ee.stop.bind(ee),this.tick=re=>{const ae=ee.tick(re);return ly(ae)}}}execute(b,z){return dk(this,void 0,void 0,function*(){return ly(yield this.instance.execute(this.graphData2LayoutModel(b),this.transformOptions(nc({},this.options,z))))})}transformOptions(b){const{onTick:z}=b;return z&&(b.onTick=ee=>z(ly(ee))),b}graphData2LayoutModel(b){const{nodes:z=[],edges:ee=[],combos:re=[]}=b,ae=z.map(Te=>{const Fe=_r(Te),{data:Ue,style:je,combo:Ke}=Te,Ze=fk(Te,["data","style","combo"]),Je={id:Fe,data:Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},Ue),{data:Ue}),Ke?{parentId:Ke}:{}),{style:je}),Ze)};return je!=null&&je.x&&Object.assign(Je.data,{x:je.x}),je!=null&&je.y&&Object.assign(Je.data,{y:je.y}),je!=null&&je.z&&Object.assign(Je.data,{z:je.z}),Je}),se=new Map(ae.map(Te=>[Te.id,Te])),fe=ee.filter(Te=>{const{source:Fe,target:Ue}=Te;return se.has(Fe)&&se.has(Ue)}).map(Te=>{const{source:Fe,target:Ue,data:je,style:Ke}=Te;return{id:_r(Te),source:Fe,target:Ue,data:Object.assign({},je),style:Object.assign({},Ke)}}),me=re.map(Te=>({id:_r(Te),data:Object.assign({_isCombo:!0},Te.data),style:Object.assign({},Te.style)})),Ae=new Zl({nodes:[...ae,...me],edges:fe});return a.model.model.hasTreeStructure(rl)&&(Ae.attachTreeStructure(rl),ae.forEach(Te=>{const Fe=a.model.model.getParent(Te.id,rl);Fe&&Ae.hasNode(Fe.id)&&Ae.setParent(Te.id,Fe.id,rl)})),Ae}}return y}function tx(E,a,...y){if(a in E)return E[a](...y);if("instance"in E){const x=E.instance;if(a in x)return x[a](...y)}return null}function $w(E,a){if(a in E)return E[a];if("instance"in E){const y=E.instance;if(a in y)return y[a]}return null}var mk=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class pk extends Mv{get forceLayoutInstance(){return this.context.layout.getLayoutInstance().find(a=>["d3-force","d3-force-3d"].includes(a==null?void 0:a.id))}validate(a){return this.context.layout?this.forceLayoutInstance?super.validate(a):(Ac.warn("DragElementForce only works with d3-force or d3-force-3d layout"),!1):!1}moveElement(a,y){return mk(this,void 0,void 0,function*(){const x=this.forceLayoutInstance;this.context.graph.getNodeData(a).forEach((b,z)=>{const{x:ee=0,y:re=0}=b.style||{};x&&tx(x,"setFixedPosition",a[z],[...ko([+ee,+re],y)])})})}onDragStart(a){if(this.enable=this.validate(a),!this.enable)return;this.target=this.getSelectedNodeIDs([a.target.id]),this.hideEdge(),this.context.graph.frontElement(this.target);const y=this.forceLayoutInstance;y&&$w(y,"simulation").alphaTarget(.3).restart(),this.context.graph.getNodeData(this.target).forEach(x=>{const{x:b=0,y:z=0}=x.style||{};y&&tx(y,"setFixedPosition",_r(x),[+b,+z])})}onDrag(a){if(!this.enable)return;const y=this.getDelta(a);this.moveElement(this.target,y)}onDragEnd(){const a=this.forceLayoutInstance;a&&$w(a,"simulation").alphaTarget(0),!this.options.fixed&&this.context.graph.getNodeData(this.target).forEach(y=>{a&&tx(a,"setFixedPosition",_r(y),[null,null,null])})}}var e5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class uy extends kc{constructor(a,y){super(a,Object.assign({},uy.defaultOptions,y)),this.isZoomEvent=x=>!!(x.data&&"scale"in x.data),this.relatedEdgeToUpdate=new Set,this.zoom=this.context.graph.getZoom(),this.fixElementSize=x=>e5(this,void 0,void 0,function*(){if(!this.validate(x))return;const{graph:b}=this.context,{state:z,nodeFilter:ee,edgeFilter:re,comboFilter:ae}=this.options,se=(z?b.getElementDataByState("node",z):b.getNodeData()).filter(ee),fe=(z?b.getElementDataByState("edge",z):b.getEdgeData()).filter(re),me=(z?b.getElementDataByState("combo",z):b.getComboData()).filter(ae),Ae=this.isZoomEvent(x)?this.zoom=Math.max(.01,Math.min(x.data.scale,10)):this.zoom,Te=[...se,...me];Te.length>0&&Te.forEach(Fe=>this.fixNodeLike(Fe,Ae)),this.updateRelatedEdges(),fe.length>0&&fe.forEach(Fe=>this.fixEdge(Fe,Ae))}),this.cachedStyles=new Map,this.getOriginalFieldValue=(x,b,z)=>{var ee;const re=this.cachedStyles.get(x)||[],ae=((ee=re.find(se=>se.shape===b))===null||ee===void 0?void 0:ee.style)||{};return z in ae||(ae[z]=b.attributes[z],this.cachedStyles.set(x,[...re.filter(se=>se.shape!==b),{shape:b,style:ae}])),ae[z]},this.scaleEntireElement=(x,b,z)=>{b.setLocalScale(1/z);const ee=this.cachedStyles.get(x)||[];ee.push({shape:b}),this.cachedStyles.set(x,ee)},this.scaleSpecificShapes=(x,b,z)=>{const ee=oF(x);(Array.isArray(z)?z:[z]).forEach(ae=>{const{shape:se,fields:fe}=ae,me=typeof se=="function"?se(ee):x.getShape(se);if(me){if(!fe){this.scaleEntireElement(x.id,me,b);return}fe.forEach(Ae=>{const Te=this.getOriginalFieldValue(x.id,me,Ae);Oi(Te)&&(me.style[Ae]=Te/b)})}})},this.skipIfExceedViewport=x=>{const{viewport:b}=this.context;return!(b!=null&&b.isInViewport(x.getRenderBounds(),!1,30))},this.fixNodeLike=(x,b)=>{const z=_r(x),{element:ee,model:re}=this.context,ae=ee.getElement(z);if(!ae||this.skipIfExceedViewport(ae))return;re.getRelatedEdgesData(z).forEach(me=>this.relatedEdgeToUpdate.add(_r(me)));const fe=this.options[ae.type];if(!fe){this.scaleEntireElement(z,ae,b);return}this.scaleSpecificShapes(ae,b,fe)},this.fixEdge=(x,b)=>{const z=_r(x),ee=this.context.element.getElement(z);if(!ee||this.skipIfExceedViewport(ee))return;const re=this.options.edge;if(!re){ee.style.transformOrigin="center",this.scaleEntireElement(z,ee,b);return}this.scaleSpecificShapes(ee,b,re)},this.updateRelatedEdges=()=>{const{element:x}=this.context;this.relatedEdgeToUpdate.size>0&&this.relatedEdgeToUpdate.forEach(b=>{const z=x.getElement(b);z==null||z.update({})}),this.relatedEdgeToUpdate.clear()},this.resetTransform=x=>e5(this,void 0,void 0,function*(){var b;!((b=x.data)===null||b===void 0)&&b.firstRender||(this.options.reset?this.restoreCachedStyles():this.fixElementSize({data:{scale:this.zoom}}))}),this.bindEvents()}restoreCachedStyles(){if(this.cachedStyles.size>0){this.cachedStyles.forEach(b=>{b.forEach(({shape:z,style:ee})=>{if(cf(ee))z.setLocalScale(1);else{if(this.options.state)return;Object.entries(ee).forEach(([re,ae])=>z.style[re]=ae)}})});const{graph:a,element:y}=this.context,x=Object.keys(Object.fromEntries(this.cachedStyles)).filter(b=>b&&a.getElementType(b)==="node");if(x.length>0){const b=new Set;x.forEach(z=>{a.getRelatedEdgesData(z).forEach(ee=>b.add(_r(ee)))}),b.forEach(z=>{const ee=y==null?void 0:y.getElement(z);ee==null||ee.update({})})}}}bindEvents(){const{graph:a}=this.context;a.on(ci.AFTER_DRAW,this.resetTransform),a.on(ci.AFTER_TRANSFORM,this.fixElementSize)}unbindEvents(){const{graph:a}=this.context;a.off(ci.AFTER_DRAW,this.resetTransform),a.off(ci.AFTER_TRANSFORM,this.fixElementSize)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}destroy(){this.unbindEvents(),super.destroy()}}uy.defaultOptions={enable:E=>E.data.scale<1,nodeFilter:()=>!0,edgeFilter:()=>!0,comboFilter:()=>!0,edge:[{shape:"key",fields:["lineWidth"]},{shape:"halo",fields:["lineWidth"]},{shape:"label"}],reset:!1};var yk=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class cy extends kc{constructor(a,y){super(a,Object.assign({},cy.defaultOptions,y)),this.focus=x=>yk(this,void 0,void 0,function*(){if(!this.validate(x))return;const{graph:b}=this.context;yield b.focusElement(x.target.id,this.options.animation)}),this.bindEvents()}bindEvents(){const{graph:a}=this.context;this.unbindEvents(),pg.forEach(y=>{a.on(`${y}:${ga.CLICK}`,this.focus)})}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;pg.forEach(y=>{a.off(`${y}:${ga.CLICK}`,this.focus)})}destroy(){this.unbindEvents(),super.destroy()}}cy.defaultOptions={animation:{easing:"ease-in",duration:500},enable:!0};class dy extends kc{constructor(a,y){super(a,Object.assign({},dy.defaultOptions,y)),this.isFrozen=!1,this.toggleFrozen=x=>{this.isFrozen=x.type==="dragstart"},this.hoverElement=x=>{if(!this.validate(x))return;const b=x.type===ga.POINTER_ENTER;this.updateElementsState(x,b);const{onHover:z,onHoverEnd:ee}=this.options;b?z==null||z(x):ee==null||ee(x)},this.updateElementsState=(x,b)=>{if(!this.options.state&&!this.options.inactiveState)return;const{graph:z}=this.context,{state:ee,animation:re,inactiveState:ae}=this.options,se=this.getActiveIds(x),fe={};if(ee&&Object.assign(fe,this.getElementsState(se,ee,b)),ae){const me=W2(z.getData(),!0).filter(Ae=>!se.includes(Ae));Object.assign(fe,this.getElementsState(me,ae,b))}z.setElementState(fe,re)},this.getElementsState=(x,b,z)=>{const{graph:ee}=this.context,re={};return x.forEach(ae=>{const se=ee.getElementState(ae);z?re[ae]=se.includes(b)?se:[...se,b]:re[ae]=se.filter(fe=>fe!==b)}),re},this.bindEvents()}bindEvents(){const{graph:a}=this.context;this.unbindEvents(),pg.forEach(x=>{a.on(`${x}:${ga.POINTER_ENTER}`,this.hoverElement),a.on(`${x}:${ga.POINTER_LEAVE}`,this.hoverElement)});const y=this.context.canvas.document;y.addEventListener(`${ga.DRAG_START}`,this.toggleFrozen),y.addEventListener(`${ga.DRAG_END}`,this.toggleFrozen)}getActiveIds(a){const{graph:y}=this.context,{degree:x,direction:b}=this.options,z=a.target.id;return x?rw(y,a.targetType,z,typeof x=="function"?x(a):x,b):[z]}validate(a){if(this.destroyed||this.isFrozen||qp(a.target)||this.context.graph.isCollapsingExpanding)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;pg.forEach(x=>{a.off(`${x}:${ga.POINTER_ENTER}`,this.hoverElement),a.off(`${x}:${ga.POINTER_LEAVE}`,this.hoverElement)});const y=this.context.canvas.document;y.removeEventListener(`${ga.DRAG_START}`,this.toggleFrozen),y.removeEventListener(`${ga.DRAG_END}`,this.toggleFrozen)}destroy(){this.unbindEvents(),super.destroy()}}dy.defaultOptions={animation:!1,enable:!0,degree:0,direction:"both",state:"active",inactiveState:void 0};class Ek extends pv{onPointerDown(a){if(!super.validate(a)||!super.isKeydown()||this.points)return;const{canvas:y}=this.context;this.pathShape=new Rc({id:"g6-lasso-select",style:this.options.style}),y.appendChild(this.pathShape),this.points=[wp(a)]}onPointerMove(a){var y;if(!this.points)return;const{immediately:x,mode:b}=this.options;this.points.push(wp(a)),(y=this.pathShape)===null||y===void 0||y.setAttribute("d",tF(this.points)),x&&b==="default"&&this.points.length>2&&super.updateElementsStates(this.points)}onPointerUp(){if(this.points){if(this.points.length<2){this.clearLasso();return}super.updateElementsStates(this.points),this.clearLasso()}}clearLasso(){var a;(a=this.pathShape)===null||a===void 0||a.remove(),this.pathShape=void 0,this.points=void 0}}class fy extends kc{constructor(a,y){super(a,Object.assign({},fy.defaultOptions,y)),this.hiddenShapes=[],this.isVisible=!0,this.setElementsVisibility=(x,b,z)=>{x.filter(Boolean).forEach(ee=>{b==="hidden"&&!ee.isVisible()?this.hiddenShapes.push(ee):b==="visible"&&this.hiddenShapes.includes(ee)?this.hiddenShapes.splice(this.hiddenShapes.indexOf(ee),1):vg(ee,b,z)})},this.filterShapes=(x,b)=>{if(Gi(b))return ee=>!b(x,ee);const z=b==null?void 0:b[x];return ee=>ee.className?!(z!=null&&z.includes(ee.className)):!0},this.hideShapes=x=>{if(!this.validate(x)||!this.isVisible)return;const{element:b}=this.context,{shapes:z={}}=this.options;this.setElementsVisibility(b.getNodes(),"hidden",this.filterShapes("node",z)),this.setElementsVisibility(b.getEdges(),"hidden",this.filterShapes("edge",z)),this.setElementsVisibility(b.getCombos(),"hidden",this.filterShapes("combo",z)),this.isVisible=!1},this.showShapes=wv(x=>{if(!this.validate(x)||this.isVisible)return;const{element:b}=this.context;this.setElementsVisibility(b.getNodes(),"visible"),this.setElementsVisibility(b.getEdges(),"visible"),this.setElementsVisibility(b.getCombos(),"visible"),this.isVisible=!0},this.options.debounce),this.bindEvents()}bindEvents(){const{graph:a}=this.context;a.on(ci.BEFORE_TRANSFORM,this.hideShapes),a.on(ci.AFTER_TRANSFORM,this.showShapes)}unbindEvents(){const{graph:a}=this.context;a.off(ci.BEFORE_TRANSFORM,this.hideShapes),a.off(ci.AFTER_TRANSFORM,this.showShapes)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy()}}fy.defaultOptions={enable:!0,debounce:200,shapes:E=>E==="node"};var t5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class hy extends kc{constructor(a,y){super(a,Object.assign({},hy.defaultOptions,y)),this.onWheel=x=>t5(this,void 0,void 0,function*(){this.options.preventDefault&&x.preventDefault();const b=x.deltaX,z=x.deltaY;yield this.scroll([-b,-z],x)}),this.shortcut=new f0(a.graph),this.bindEvents()}update(a){super.update(a),this.bindEvents()}bindEvents(){var a,y;const{trigger:x}=this.options;if(this.shortcut.unbindAll(),jl(x)){(a=this.graphDom)===null||a===void 0||a.removeEventListener(ga.WHEEL,this.onWheel);const{up:b=[],down:z=[],left:ee=[],right:re=[]}=x;this.shortcut.bind(b,ae=>this.scroll([0,-10],ae)),this.shortcut.bind(z,ae=>this.scroll([0,10],ae)),this.shortcut.bind(ee,ae=>this.scroll([-10,0],ae)),this.shortcut.bind(re,ae=>this.scroll([10,0],ae))}else(y=this.graphDom)===null||y===void 0||y.addEventListener(ga.WHEEL,this.onWheel,{passive:!1})}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}formatDisplacement(a){const{sensitivity:y}=this.options;return a=Bd(a,y),a=this.clampByDirection(a),a=this.clampByRange(a),a}clampByDirection([a,y]){const{direction:x}=this.options;return x==="x"?y=0:x==="y"&&(a=0),[a,y]}clampByRange([a,y]){const{viewport:x,canvas:b}=this.context,[z,ee]=b.getSize(),[re,ae,se,fe]=Ld(this.options.range),me=[ee*re,z*ae,ee*se,z*fe],Ae=uh(dA(x.getCanvasCenter()),me),Te=qs(x.getViewportCenter(),[a,y,0]);if(!Od(Te,Ae)){const{min:[Fe,Ue],max:[je,Ke]}=Ae;(Te[0]0||Te[0]>je&&a<0)&&(a=0),(Te[1]0||Te[1]>Ke&&y<0)&&(y=0)}return[a,y]}scroll(a,y){return t5(this,void 0,void 0,function*(){if(!this.validate(y))return;const{onFinish:x}=this.options,b=this.context.graph,z=this.formatDisplacement(a);yield b.translateBy(z,!1),x==null||x()})}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}destroy(){var a;this.shortcut.destroy(),(a=this.graphDom)===null||a===void 0||a.removeEventListener(ga.WHEEL,this.onWheel),super.destroy()}}hy.defaultOptions={enable:!0,sensitivity:1,preventDefault:!0,range:1/0};var n5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class gy extends kc{constructor(a,y){super(a,Object.assign({},gy.defaultOptions,y)),this.zoom=(x,b,z)=>n5(this,void 0,void 0,function*(){if(!this.validate(b))return;const{graph:ee}=this.context;let re;"viewport"in b&&(re=Iu(b.viewport));const{sensitivity:ae,onFinish:se}=this.options,fe=1+bl(x,-50,50)*ae/100,me=ee.getZoom();yield ee.zoomTo(me*fe,z,re),se==null||se()}),this.onReset=()=>n5(this,void 0,void 0,function*(){yield this.context.graph.zoomTo(1,this.options.animation)}),this.preventDefault=x=>{this.options.preventDefault&&x.preventDefault()},this.shortcut=new 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fx{constructor(a={}){this.options=a,this.id="concentric",this.options=Object.assign(Object.assign({},c9),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericConcentricLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericConcentricLayout(!0,a,y)})}genericConcentricLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),{center:z,width:ee,height:re,sortBy:ae,maxLevelDiff:se,sweep:fe,clockwise:me,equidistant:Ae,preventOverlap:Te,startAngle:Fe=3/2*Math.PI,nodeSize:Ue,nodeSpacing:je}=b,Ke=y.getAllNodes(),Ze=y.getAllEdges(),Je=!ee&&typeof window!="undefined"?window.innerWidth:ee,tt=!re&&typeof window!="undefined"?window.innerHeight:re,at=z||[Je/2,tt/2];if(!(Ke!=null&&Ke.length)||Ke.length===1)return Pg(y,a,at);const st=[];let ft,lt=0;Rf(Ue)?ft=Math.max(Ue[0],Ue[1]):Gi(Ue)?(ft=-1/0,Ke.forEach(En=>{const 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En=vn.length>0&&vn[0].nodes.length>1,or=(Math.min(Je,tt)/2-wn)/(vn.length+(En?1:0));wn=Math.min(wn,or)}let qn=0;if(vn.forEach(En=>{const Pn=fe===void 0?2*Math.PI-2*Math.PI/En.nodes.length:fe;if(En.dTheta=Pn/Math.max(1,En.nodes.length-1),En.nodes.length>1&&Te){const or=Math.cos(En.dTheta)-Math.cos(0),xn=Math.sin(En.dTheta)-Math.sin(0),yr=Math.sqrt(wn*wn/(or*or+xn*xn));qn=Math.max(yr,qn)}En.r=qn,qn+=wn}),Ae){let En=0,Pn=0;for(let or=0;or{xn===0&&(Pn=or.r||0),or.r=Pn,Pn+=En})}return vn.forEach(En=>{const Pn=En.dTheta||0,or=En.r||0;En.nodes.forEach((xn,yr)=>{const na=Fe+(me?1:-1)*Pn*yr;xn.data.x=at[0]+or*Math.cos(na),xn.data.y=at[1]+or*Math.sin(na)})}),a&&st.forEach(En=>y.mergeNodeData(En.id,{x:En.data.x,y:En.data.y})),{nodes:st,edges:Ze}})}}function d9(E){const a=+this._x.call(null,E),y=+this._y.call(null,E);return W5(this.cover(a,y),a,y,E)}function W5(E,a,y,x){if(isNaN(a)||isNaN(y))return E;var b,z=E._root,ee={data:x},re=E._x0,ae=E._y0,se=E._x1,fe=E._y1,me,Ae,Te,Fe,Ue,je,Ke,Ze;if(!z)return E._root=ee,E;for(;z.length;)if((Ue=a>=(me=(re+se)/2))?re=me:se=me,(je=y>=(Ae=(ae+fe)/2))?ae=Ae:fe=Ae,b=z,!(z=z[Ke=je<<1|Ue]))return b[Ke]=ee,E;if(Te=+E._x.call(null,z.data),Fe=+E._y.call(null,z.data),a===Te&&y===Fe)return ee.next=z,b?b[Ke]=ee:E._root=ee,E;do b=b?b[Ke]=new Array(4):E._root=new Array(4),(Ue=a>=(me=(re+se)/2))?re=me:se=me,(je=y>=(Ae=(ae+fe)/2))?ae=Ae:fe=Ae;while((Ke=je<<1|Ue)===(Ze=(Fe>=Ae)<<1|Te>=me));return b[Ze]=z,b[Ke]=ee,E}function f9(E){var a,y,x=E.length,b,z,ee=new Array(x),re=new Array(x),ae=1/0,se=1/0,fe=-1/0,me=-1/0;for(y=0;yfe&&(fe=b),zme&&(me=z));if(ae>fe||se>me)return this;for(this.cover(ae,se).cover(fe,me),y=0;yE||E>=b||x>a||a>=z;)switch(se=(afe||(re=Fe.y0)>me||(ae=Fe.x1)=Ke)<<1|E>=je)&&(Fe=Ae[Ae.length-1],Ae[Ae.length-1]=Ae[Ae.length-1-Ue],Ae[Ae.length-1-Ue]=Fe)}else{var 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Array(8),(tt=a>=(Fe=(ae+me)/2))?ae=Fe:me=Fe,(at=y>=(Ue=(se+Ae)/2))?se=Ue:Ae=Ue,(st=x>=(je=(fe+Te)/2))?fe=je:Te=je;while((ft=st<<2|at<<1|tt)===(lt=(Je>=je)<<2|(Ze>=Ue)<<1|Ke>=Fe));return z[lt]=ee,z[ft]=re,E}function D9(E){Array.isArray(E)||(E=Array.from(E));const a=E.length,y=new Float64Array(a),x=new Float64Array(a),b=new Float64Array(a);let z=1/0,ee=1/0,re=1/0,ae=-1/0,se=-1/0,fe=-1/0;for(let me=0,Ae,Te,Fe,Ue;meae&&(ae=Te),Fese&&(se=Fe),Uefe&&(fe=Ue));if(z>ae||ee>se||re>fe)return this;this.cover(z,ee,re).cover(ae,se,fe);for(let me=0;meE||E>=ee||b>a||a>=re||z>y||y>=ae;)switch(Ae=(yFe||(se=Je.y0)>Ue||(fe=Je.z0)>je||(me=Je.x1)=ft)<<2|(a>=st)<<1|E>=at)&&(Je=Ke[Ke.length-1],Ke[Ke.length-1]=Ke[Ke.length-1-tt],Ke[Ke.length-1-tt]=Je)}else{var lt=E-+this._x.call(null,Ze.data),wt=a-+this._y.call(null,Ze.data),Bt=y-+this._z.call(null,Ze.data),Vt=lt*lt+wt*wt+Bt*Bt;if(VtMath.sqrt(Oh(E-x,2)+Oh(a-b,2)+Oh(y-z,2));function N9(E,a,y,x){const b=[],z=E-x,ee=a-x,re=y-x,ae=E+x,se=a+x,fe=y+x;return this.visit((me,Ae,Te,Fe,Ue,je,Ke)=>{if(!me.length)do{const Ze=me.data;B9(E,a,y,this._x(Ze),this._y(Ze),this._z(Ze))<=x&&b.push(Ze)}while(me=me.next);return Ae>ae||Te>se||Fe>fe||Ue=(Ue=(ee+se)/2))?ee=Ue:se=Ue,(Je=Te>=(je=(re+fe)/2))?re=je:fe=je,(tt=Fe>=(Ke=(ae+me)/2))?ae=Ke:me=Ke,a=y,!(y=y[at=tt<<2|Je<<1|Ze]))return this;if(!y.length)break;(a[at+1&7]||a[at+2&7]||a[at+3&7]||a[at+4&7]||a[at+5&7]||a[at+6&7]||a[at+7&7])&&(x=a,st=at)}for(;y.data!==E;)if(b=y,!(y=y.next))return this;return(z=y.next)&&delete y.next,b?(z?b.next=z:delete b.next,this):a?(z?a[at]=z:delete a[at],(y=a[0]||a[1]||a[2]||a[3]||a[4]||a[5]||a[6]||a[7])&&y===(a[7]||a[6]||a[5]||a[4]||a[3]||a[2]||a[1]||a[0])&&!y.length&&(x?x[st]=y:this._root=y),this):(this._root=z,this)}function _9(E){for(var a=0,y=E.length;a{const{nodeStrength:Ae,x:Te,y:Fe,z:Ue,size:je}=fe.data;return{x:Te,y:Fe,z:Ue,size:je,index:me,id:fe.id,vx:0,vy:0,vz:0,weight:z*Ae}}),ae=(b===2?my(re,fe=>fe.x,fe=>fe.y):V5(re,fe=>fe.x,fe=>fe.y,fe=>fe.z)).visitAfter(Y9),se=new Map;return re.forEach(fe=>{se.set(fe.id,fe),J9(fe,ae,b)}),re.map((fe,me)=>{const{id:Ae,data:Te}=ee[me],{mass:Fe=1}=Te;x[Ae]={x:fe.vx/Fe,y:fe.vy/Fe,z:fe.vz/Fe}}),x}function Y9(E){let a=0,y=0,x=0,b=0,z=0;const ee=E.length;if(ee){for(let re=0;re{var re;if(((re=E.data)===null||re===void 0?void 0:re.id)===z.id)return;const ae=[y,x,b][ee-1],se=z.x-E.x||vx,fe=z.y-E.y||vx,me=z.z-E.z||vx,Ae=[se,fe,me],Te=ae-a;let Fe=0;for(let Ke=0;KeX9(x,b,z,ee,re,E,y))}const q9={dimensions:2,maxIteration:500,gravity:10,factor:1,edgeStrength:50,nodeStrength:1e3,coulombDisScale:.005,damping:.9,maxSpeed:200,minMovement:.4,interval:.02,linkDistance:200,clusterNodeStrength:20,preventOverlap:!0,distanceThresholdMode:"mean"};class K5{constructor(a={}){this.options=a,this.id="force",this.timeInterval=0,this.judgingDistance=0,this.running=!1,this.options=Object.assign(Object.assign({},q9),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericForceLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericForceLayout(!0,a,y)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(a=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let x=0;(this.judgingDistance>this.lastOptions.minMovement||x<1)&&xthis.lastGraph.mergeNodeData(x.id,{x:x.data.x,y:x.data.y,z:this.options.dimensions===3?x.data.z:void 0})),y}genericForceLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),z=y.getAllNodes(),ee=y.getAllEdges(),re=this.formatOptions(b,y),{dimensions:ae,width:se,height:fe,nodeSize:me,getMass:Ae,nodeStrength:Te,edgeStrength:Fe,linkDistance:Ue}=re,je=z.map((lt,wt)=>Object.assign(Object.assign({},lt),{data:Object.assign(Object.assign({},lt.data),{x:Oi(lt.data.x)?lt.data.x:Math.random()*se,y:Oi(lt.data.y)?lt.data.y:Math.random()*fe,z:Oi(lt.data.z)?lt.data.z:Math.random()*Math.sqrt(se*fe),size:me(lt)||30,mass:Ae(lt),nodeStrength:Te(lt)})})),Ke=ee.map(lt=>Object.assign(Object.assign({},lt),{data:Object.assign(Object.assign({},lt.data),{edgeStrength:Fe(lt),linkDistance:Ue(lt,y.getNode(lt.source),y.getNode(lt.target))})}));if(!(z!=null&&z.length))return this.lastResult={nodes:[],edges:ee},{nodes:[],edges:ee};const Ze={};z.forEach((lt,wt)=>{Ze[lt.id]={x:0,y:0,z:0}});const Je=new Zl({nodes:je,edges:Ke});this.formatCentripetal(re,Je);const{maxIteration:tt,minMovement:at,onTick:st}=re;if(this.lastLayoutNodes=je,this.lastLayoutEdges=Ke,this.lastAssign=a,this.lastGraph=y,this.lastCalcGraph=Je,this.lastOptions=re,this.lastVelMap=Ze,typeof window=="undefined")return;let ft=0;return new Promise(lt=>{this.timeInterval=window.setInterval(()=>{(!z||!this.running)&<({nodes:mx(y,je),edges:ee}),this.runOneStep(Je,y,ft,Ze,re),this.updatePosition(y,Je,Ze,re),a&&je.forEach(wt=>y.mergeNodeData(wt.id,{x:wt.data.x,y:wt.data.y,z:ae===3?wt.data.z:void 0})),st==null||st({nodes:mx(y,je),edges:ee}),ft++,(ft>=tt||this.judgingDistance{let se=1;Oi(ae==null?void 0:ae.data.mass)&&(se=ae==null?void 0:ae.data.mass);const fe=y.getDegree(ae.id,"both");return!fe||fe<5?se:fe*5*se}),x.nodeSize=cx(a.nodeSize,a.nodeSpacing);const re=a.linkDistance?Cg(1,a.linkDistance):ae=>1+x.nodeSize(y.getNode(ae.source))+x.nodeSize(y.getNode(ae.target));return x.linkDistance=re,x.nodeStrength=Cg(1,a.nodeStrength),x.edgeStrength=Cg(1,a.edgeStrength),x}formatCentripetal(a,y){const{dimensions:x,centripetalOptions:b,center:z,clusterNodeStrength:ee,leafCluster:re,clustering:ae,nodeClusterBy:se}=a,fe=y.getAllNodes(),me=b||{leaf:2,single:2,others:1,center:Ke=>({x:z[0],y:z[1],z:x===3?z[2]:void 0})};typeof ee!="function"&&(a.clusterNodeStrength=Ke=>ee);let Ae,Te;if(re&&se&&(Ae=Z5(y,se),Te=Array.from(new Set(fe==null?void 0:fe.map(Ke=>Ke.data[se])))||[],a.centripetalOptions=Object.assign(me,{single:100,leaf:Ke=>{const{siblingLeaves:Ze,sameTypeLeaves:Je}=Ae[Ke.id]||{};return(Je==null?void 0:Je.length)===(Ze==null?void 0:Ze.length)||(Te==null?void 0:Te.length)===1?1:a.clusterNodeStrength(Ke)},others:1,center:Ke=>{const Ze=y.getDegree(Ke.id,"both");if(!Ze)return{x:100,y:100,z:0};let Je;if(Ze===1){const{sameTypeLeaves:tt=[]}=Ae[Ke.id]||{};tt.length===1?Je=void 0:tt.length>1&&(Je=Q5(tt))}else Je=void 0;return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})),ae&&se){Ae||(Ae=Z5(y,se)),Te||(Te=Array.from(new Set(fe.map(Ze=>Ze.data[se])))),Te=Te.filter(Ze=>Ze!==void 0);const Ke={};Te.forEach(Ze=>{const Je=fe.filter(tt=>tt.data[se]===Ze).map(tt=>y.getNode(tt.id));Ke[Ze]=Q5(Je)}),a.centripetalOptions=Object.assign(me,{single:Ze=>a.clusterNodeStrength(Ze),leaf:Ze=>a.clusterNodeStrength(Ze),others:Ze=>a.clusterNodeStrength(Ze),center:Ze=>{const Je=Ke[Ze.data[se]];return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})}const{leaf:Fe,single:Ue,others:je}=a.centripetalOptions||{};Fe&&typeof Fe!="function"&&(a.centripetalOptions.leaf=()=>Fe),Ue&&typeof Ue!="function"&&(a.centripetalOptions.single=()=>Ue),je&&typeof je!="function"&&(a.centripetalOptions.others=()=>je)}runOneStep(a,y,x,b,z){const ee={},re=a.getAllNodes(),ae=a.getAllEdges();if(!(re!=null&&re.length))return;const{monitor:se}=z;if(this.calRepulsive(a,ee,z),ae&&this.calAttractive(a,ee,z),this.calGravity(a,y,ee,z),this.updateVelocity(a,ee,b,z),se){const fe=this.calTotalEnergy(ee,re);se({energy:fe,nodes:y.getAllNodes(),edges:y.getAllEdges(),iterations:x})}}calTotalEnergy(a,y){if(!(y!=null&&y.length))return 0;let x=0;return y.forEach((b,z)=>{const ee=a[b.id].x,re=a[b.id].y,ae=this.options.dimensions===3?a[b.id].z:0,se=ee*ee+re*re+ae*ae,{mass:fe=1}=b.data;x+=fe*se*.5}),x}calRepulsive(a,y,x){const{dimensions:b,factor:z,coulombDisScale:ee}=x;Q9(a,z,ee*ee,y,b)}calAttractive(a,y,x){const{dimensions:b,nodeSize:z}=x;a.getAllEdges().forEach((ee,re)=>{const{source:ae,target:se}=ee,fe=a.getNode(ae),me=a.getNode(se);if(!fe||!me)return;let Ae=me.data.x-fe.data.x,Te=me.data.y-fe.data.y,Fe=b===3?me.data.z-fe.data.z:0;!Ae&&!Te&&(Ae=Math.random()*.01,Te=Math.random()*.01,b===3&&!Fe&&(Fe=Math.random()*.01));const Ue=Math.sqrt(Ae*Ae+Te*Te+Fe*Fe);if(Ue{const{id:Ue,data:je}=Fe,{mass:Ke,x:Ze,y:Je,z:tt}=je,at=y.getNode(Ue);let st=0,ft=0,lt=0,wt=Ae;const Bt=a.getDegree(Ue,"in"),Vt=a.getDegree(Ue,"out"),Xt=a.getDegree(Ue,"both"),vn=z==null?void 0:z(at,Xt);if(vn){const[on,wn,qn]=vn;st=Ze-on,ft=Je-wn,wt=qn}else st=Ze-me[0],ft=Je-me[1],lt=tt-me[2];if(wt&&(x[Ue].x-=wt*st/Ke,x[Ue].y-=wt*ft/Ke,x[Ue].z-=wt*lt/Ke),Te){const{leaf:on,single:wn,others:qn,center:yn}=Te,{x:En,y:Pn,z:or,centerStrength:xn}=(yn==null?void 0:yn(at,re,ae,se,fe))||{x:0,y:0,z:0,centerStrength:0};if(!Oi(En)||!Oi(Pn))return;const yr=(Ze-En)/Ke,na=(Je-Pn)/Ke,ea=(tt-or)/Ke;if(xn&&(x[Ue].x-=xn*yr,x[Ue].y-=xn*na,x[Ue].z-=xn*ea),Xt===0){const Or=wn(at);if(!Or)return;x[Ue].x-=Or*yr,x[Ue].y-=Or*na,x[Ue].z-=Or*ea;return}if(Bt===0||Vt===0){const Or=on(at,re,ae);if(!Or)return;x[Ue].x-=Or*yr,x[Ue].y-=Or*na,x[Ue].z-=Or*ea;return}const jr=qn(at);if(!jr)return;x[Ue].x-=jr*yr,x[Ue].y-=jr*na,x[Ue].z-=jr*ea}})}updateVelocity(a,y,x,b){const{damping:z,maxSpeed:ee,interval:re,dimensions:ae}=b,se=a.getAllNodes();se!=null&&se.length&&se.forEach(fe=>{const{id:me}=fe;let Ae=(x[me].x+y[me].x*re)*z||.01,Te=(x[me].y+y[me].y*re)*z||.01,Fe=ae===3?(x[me].z+y[me].z*re)*z||.01:0;const Ue=Math.sqrt(Ae*Ae+Te*Te+Fe*Fe);if(Ue>ee){const je=ee/Ue;Ae=je*Ae,Te=je*Te,Fe=je*Fe}x[me]={x:Ae,y:Te,z:Fe}})}updatePosition(a,y,x,b){const{distanceThresholdMode:z,interval:ee,dimensions:re}=b,ae=y.getAllNodes();if(!(ae!=null&&ae.length)){this.judgingDistance=0;return}let se=0;z==="max"?this.judgingDistance=-1/0:z==="min"&&(this.judgingDistance=1/0),ae.forEach(fe=>{const{id:me}=fe,Ae=a.getNode(me);if(Oi(Ae.data.fx)&&Oi(Ae.data.fy)){y.mergeNodeData(me,{x:Ae.data.fx,y:Ae.data.fy,z:re===3?Ae.data.fz:void 0});return}const Te=x[me].x*ee,Fe=x[me].y*ee,Ue=re===3?x[me].z*ee:0;y.mergeNodeData(me,{x:fe.data.x+Te,y:fe.data.y+Fe,z:fe.data.z+Ue});const je=Math.sqrt(Te*Te+Fe*Fe+Ue*Ue);switch(z){case"max":this.judgingDistanceje&&(this.judgingDistance=je);break;default:se=se+je;break}}),(!z||z==="mean")&&(this.judgingDistance=se/ae.length)}}const Z5=(E,a)=>{const y=E.getAllNodes();if(!(y!=null&&y.length))return{};const x={};return y.forEach((b,z)=>{E.getDegree(b.id,"both")===1&&(x[b.id]=$9(E,"leaf",b,a))}),x},$9=(E,a,y,x)=>{const b=E.getDegree(y.id,"in"),z=E.getDegree(y.id,"out");let ee=y,re=[];b===0?(ee=E.getSuccessors(y.id)[0],re=E.getNeighbors(ee.id)):z===0&&(ee=E.getPredecessors(y.id)[0],re=E.getNeighbors(ee.id)),re=re.filter(se=>E.getDegree(se.id,"in")===0||E.getDegree(se.id,"out")===0);const ae=ez(E,a,x,y,re);return{coreNode:ee,siblingLeaves:re,sameTypeLeaves:ae}},ez=(E,a,y,x,b)=>{const z=x.data[y]||"";let ee=(b==null?void 0:b.filter(re=>re.data[y]===z))||[];return a==="leaf"&&(ee=ee.filter(re=>E.getDegree(re.id,"in")===0||E.getDegree(re.id,"out")===0)),ee},Q5=E=>{const 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y=yh.mul(yh.pow(E,2),-.5),x=y.mean("row"),b=y.mean("column"),z=y.mean();y.add(z).subRowVector(x).subColumnVector(b);const ee=new Y5(y),re=yh.sqrt(ee.diagonalMatrix).diagonal();return ee.leftSingularVectors.toJSON().map(ae=>yh.mul([ae],[re]).toJSON()[0].splice(0,2))};function yx(E){return!!E.tick&&!!E.stop}const oz={gForce:!0,force2:!0,d3force:!0,fruchterman:!0,forceAtlas2:!0,force:!0,"graphin-force":!0},sz={center:[0,0],comboPadding:10,treeKey:"combo"};class lz{constructor(a={}){this.options=a,this.id="comboCombined",this.options=Object.assign(Object.assign({},sz),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericComboCombinedLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericComboCombinedLayout(!0,a,y)})}genericComboCombinedLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const b=this.initVals(Object.assign(Object.assign({},this.options),x)),{center:z,treeKey:ee,outerLayout:re}=b,ae=y.getAllNodes().filter(lt=>!lt.data._isCombo),se=y.getAllNodes().filter(lt=>lt.data._isCombo),fe=y.getAllEdges(),me=ae==null?void 0:ae.length;if(!me||me===1)return Pg(y,a,z);const Ae=[],Te=new Map;ae.forEach(lt=>{Te.set(lt.id,lt)});const Fe=new Map;se.forEach(lt=>{Fe.set(lt.id,lt)});const Ue=new Map,je=this.getInnerGraphs(y,ee,Te,Fe,fe,b,Ue);yield Promise.all(je);const Ke=new Map,Ze=[],Je=new Map;let tt=!0;y.getRoots(ee).forEach(lt=>{const wt=Ue.get(lt.id),Bt=Fe.get(lt.id)||Te.get(lt.id),Vt={id:lt.id,data:Object.assign(Object.assign({},lt.data),{x:wt.data.x||Bt.data.x,y:wt.data.y||Bt.data.y,fx:wt.data.fx||Bt.data.fx,fy:wt.data.fy||Bt.data.fy,mass:wt.data.mass||Bt.data.mass,size:wt.data.size})};Ze.push(Vt),Ke.set(lt.id,!0),!isNaN(Vt.data.x)&&Vt.data.x!==0&&!isNaN(Vt.data.y)&&Vt.data.y!==0?tt=!1:(Vt.data.x=Math.random()*100,Vt.data.y=Math.random()*100),px(y,[lt],Xt=>{Xt.id!==lt.id&&Je.set(Xt.id,lt.id)},"TB",ee)});const at=[];fe.forEach(lt=>{const wt=Je.get(lt.source)||lt.source,Bt=Je.get(lt.target)||lt.target;wt!==Bt&&Ke.has(wt)&&Ke.has(Bt)&&at.push({id:lt.id,source:wt,target:Bt,data:{}})});let st;if(Ze!=null&&Ze.length){if(Ze.length===1)Ze[0].data.x=z[0],Ze[0].data.y=z[1];else{const lt=new Zl({nodes:Ze,edges:at}),wt=re||new K5;tt&&oz[wt.id]&&(yield(Ze.length<100?new $5:new fx).assign(lt));const Bt=Object.assign({center:z,kg:5,preventOverlap:!0,animate:!1},wt.id==="force"?{gravity:1,factor:4,linkDistance:(Vt,Xt,vn)=>{const on=Math.max(...Xt.data.size)||32,wn=Math.max(...vn.data.size)||32;return on/2+wn/2+200}}:{});st=yield eM(wt,lt,Bt)}Ue.forEach(lt=>{var wt;const Bt=st.nodes.find(vn=>vn.id===lt.id);if(Bt){const{x:vn,y:on}=Bt.data;lt.data.visited=!0,lt.data.x=vn,lt.data.y=on,Ae.push({id:lt.id,data:{x:vn,y:on}})}const{x:Vt,y:Xt}=lt.data;(wt=lt.data.nodes)===null||wt===void 0||wt.forEach(vn=>{Ae.push({id:vn.id,data:{x:vn.data.x+Vt,y:vn.data.y+Xt}})})}),Ue.forEach(({data:lt})=>{const{x:wt,y:Bt,visited:Vt,nodes:Xt}=lt;Xt==null||Xt.forEach(vn=>{if(!Vt){const on=Ae.find(wn=>wn.id===vn.id);on.data.x+=wt||0,on.data.y+=Bt||0}})})}return a&&Ae.forEach(lt=>{y.mergeNodeData(lt.id,{x:lt.data.x,y:lt.data.y})}),{nodes:Ae,edges:fe}})}initVals(a){const y=Object.assign({},a),{nodeSize:x,spacing:b,comboPadding:z}=a;let ee,re;if(Oi(b)?re=()=>b:Gi(b)?re=b:re=()=>0,y.spacing=re,!x)ee=se=>{const fe=re(se);return se.size?Rf(se.size)?((se.size[0]>se.size[1]?se.size[0]:se.size[1])+fe)/2:jl(se.size)?((se.size.width>se.size.height?se.size.width:se.size.height)+fe)/2:(se.size+fe)/2:32+fe/2};else if(Gi(x))ee=se=>{const fe=x(se),me=re(se);return Rf(se.size)?((se.size[0]>se.size[1]?se.size[0]:se.size[1])+me)/2:((fe||32)+me)/2};else if(Rf(x)){const fe=(x[0]>x[1]?x[0]:x[1])/2;ee=me=>fe+re(me)/2}else{const se=x/2;ee=fe=>se+re(fe)/2}y.nodeSize=ee;let ae;return Oi(z)?ae=()=>z:Rf(z)?ae=()=>Math.max.apply(null,z):Gi(z)?ae=z:ae=()=>0,y.comboPadding=ae,y}getInnerGraphs(a,y,x,b,z,ee,re){const{nodeSize:ae,comboPadding:se,spacing:fe,innerLayout:me}=ee,Ae=me||new fx({}),Te={center:[0,0],preventOverlap:!0,nodeSpacing:fe},Fe=[],Ue=je=>{let Ke=(se==null?void 0:se(je))||10;return Rf(Ke)&&(Ke=Math.max(...Ke)),{size:Ke?[Ke*2,Ke*2]:[30,30],padding:Ke}};return a.getRoots(y).forEach(je=>{re.set(je.id,{id:je.id,data:{nodes:[],size:Ue(je).size}});let Ke=Promise.resolve();px(a,[je],Ze=>{var Je;if(!Ze.data._isCombo)return;const{size:tt,padding:at}=Ue(Ze);if(!(!((Je=a.getChildren(Ze.id,y))===null||Je===void 0)&&Je.length))re.set(Ze.id,{id:Ze.id,data:Object.assign(Object.assign({},Ze.data),{size:tt})});else{const st=re.get(Ze.id);re.set(Ze.id,{id:Ze.id,data:Object.assign({nodes:[]},st==null?void 0:st.data)});const ft=new Map,lt=a.getChildren(Ze.id,y).map(Vt=>{if(Vt.data._isCombo)return re.has(Vt.id)||re.set(Vt.id,{id:Vt.id,data:Object.assign({},Vt.data)}),ft.set(Vt.id,!0),re.get(Vt.id);const Xt=x.get(Vt.id)||b.get(Vt.id);return ft.set(Vt.id,!0),{id:Vt.id,data:Object.assign(Object.assign({},Xt.data),Vt.data)}}),wt={nodes:lt,edges:z.filter(Vt=>ft.has(Vt.source)&&ft.has(Vt.target))};let Bt=1/0;lt.forEach(Vt=>{var Xt;let{size:vn}=Vt.data;vn||(vn=((Xt=re.get(Vt.id))===null||Xt===void 0?void 0:Xt.data.size)||(ae==null?void 0:ae(Vt))||[30,30]),Oi(vn)&&(vn=[vn,vn]);const[on,wn]=vn;Bt>on&&(Bt=on),Bt>wn&&(Bt=wn),Vt.data.size=vn}),Ke=Ke.then(()=>(0,Rt.mG)(this,void 0,void 0,function*(){const Vt=new Zl(wt);yield eM(Ae,Vt,Te,!0);const{minX:Xt,minY:vn,maxX:on,maxY:wn}=nz(lt),qn={x:(on+Xt)/2,y:(wn+vn)/2};wt.nodes.forEach(En=>{En.data.x-=qn.x,En.data.y-=qn.y});const yn=[Math.max(on-Xt,Bt)+at*2,Math.max(wn-vn,Bt)+at*2];re.get(Ze.id).data.size=yn,re.get(Ze.id).data.nodes=lt}))}return!0},"BT",y),Fe.push(Ke)}),Fe}}function eM(E,a,y,x){var b;return(0,Rt.mG)(this,void 0,void 0,function*(){return yx(E)?(E.execute(a,y),E.stop(),E.tick((b=y.iterations)!==null&&b!==void 0?b:300)):x?yield E.assign(a,y):yield E.execute(a,y)})}function cu(E){return function(){return E}}function Eh(E){return(E()-.5)*1e-6}function uz(E){return E.index}function tM(E,a){var y=E.get(a);if(!y)throw new Error("node not found: "+a);return y}function cz(E){var a=uz,y=me,x,b=cu(30),z,ee,re,ae,se,fe=1;E==null&&(E=[]);function me(je){return 1/Math.min(re[je.source.index],re[je.target.index])}function Ae(je){for(var Ke=0,Ze=E.length;Ke[a(at,st,ee),at])),tt;for(je=0,re=new Array(Ke);je{}};function nM(){for(var E=0,a=arguments.length,y={},x;E=0&&(x=y.slice(b+1),y=y.slice(0,b)),y&&!a.hasOwnProperty(y))throw new Error("unknown type: "+y);return{type:y,name:x}})}py.prototype=nM.prototype={constructor:py,on:function(E,a){var y=this._,x=fz(E+"",y),b,z=-1,ee=x.length;if(arguments.length<2){for(;++z0)for(var y=new Array(b),x=0,b,z;x=0&&E._call.call(void 0,a),E=E._next;--p0}function lM(){wg=(Ey=Bv.now())+Ay,p0=Lv=0;try{mz()}finally{p0=0,yz(),wg=0}}function pz(){var E=Bv.now(),a=E-Ey;a>aM&&(Ay-=a,Ey=E)}function yz(){for(var E,a=yy,y,x=1/0;a;)a._call?(x>a._time&&(x=a._time),E=a,a=a._next):(y=a._next,a._next=null,a=E?E._next=y:yy=y);Tv=E,Ax(x)}function Ax(E){if(!p0){Lv&&(Lv=clearTimeout(Lv));var a=E-wg;a>24?(E<1/0&&(Lv=setTimeout(lM,E-Bv.now()-Ay)),Ov&&(Ov=clearInterval(Ov))):(Ov||(Ey=Bv.now(),Ov=setInterval(pz,aM)),p0=1,iM(lM))}}const Ez=1664525,Az=1013904223,uM=4294967296;function xz(){let E=1;return()=>(E=(Ez*E+Az)%uM)/uM}function Sz(E){return E.x}function bz(E){return E.y}var Cz=10,Pz=Math.PI*(3-Math.sqrt(5));function wz(E){var a,y=1,x=.001,b=1-Math.pow(x,1/300),z=0,ee=.6,re=new Map,ae=sM(me),se=gz("tick","end"),fe=xz();E==null&&(E=[]);function me(){Ae(),se.call("tick",a),y1?(je==null?re.delete(Ue):re.set(Ue,Fe(je)),a):re.get(Ue)},find:function(Ue,je,Ke){var Ze=0,Je=E.length,tt,at,st,ft,lt;for(Ke==null?Ke=1/0:Ke*=Ke,Ze=0;Ze1?(se.on(Ue,je),a):se.on(Ue)}}}function Mz(){var E,a,y,x,b=cu(-30),z,ee=1,re=1/0,ae=.81;function se(Te){var Fe,Ue=E.length,je=my(E,Sz,bz).visitAfter(me);for(x=Te,Fe=0;Fe=re)return;(Te.data!==a||Te.next)&&(Ke===0&&(Ke=Eh(y),tt+=Ke*Ke),Ze===0&&(Ze=Eh(y),tt+=Ze*Ze),ttAe.index){var Vt=Te-lt.x-lt.vx,Xt=Fe-lt.y-lt.vy,vn=Vt*Vt+Xt*Xt;vnTe+Bt||stFe+Bt||ftse.r&&(se.r=se[fe].r)}function ae(){if(a){var se,fe=a.length,me;for(y=new Array(fe),se=0;sey.id},manyBody:{},center:{x:0,y:0}},this.context={options:{},assign:!1,nodes:[],edges:[]},nc(this.options,a),this.options.forceSimulation&&(this.simulation=this.options.forceSimulation)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericLayout(!0,a,y)})}stop(){this.simulation.stop()}tick(a){return this.simulation.tick(a),this.getResult()}restart(){this.simulation.restart()}setFixedPosition(a,y){const x=this.context.nodes.find(b=>b.id===a);x&&y.forEach((b,z)=>{if(typeof b=="number"||b===null){const ee=["fx","fy","fz"][z];x[ee]=b}})}getOptions(a){var y,x;const b=nc({},this.options,a);return b.collide&&((y=b.collide)===null||y===void 0?void 0:y.radius)===void 0&&(b.collide=b.collide||{},b.collide.radius=(x=b.nodeSize)!==null&&x!==void 0?x:10),b.iterations===void 0&&(b.link&&b.link.iterations===void 0&&(b.iterations=b.link.iterations),b.collide&&b.collide.iterations===void 0&&(b.iterations=b.collide.iterations)),this.context.options=b,b}genericLayout(a,y,x){var b;return(0,Rt.mG)(this,void 0,void 0,function*(){const z=this.getOptions(x),ee=y.getAllNodes().map(({id:fe,data:me})=>Object.assign(Object.assign({id:fe},me),xg(me.data,this.config.inputNodeAttrs))),re=y.getAllEdges().map(fe=>Object.assign({},fe));Object.assign(this.context,{assign:a,nodes:ee,edges:re,graph:y});const ae=new Promise(fe=>{this.resolver=fe}),se=this.setSimulation(z);return se.nodes(ee),(b=se.force("link"))===null||b===void 0||b.links(re),ae})}getResult(){const{assign:a,nodes:y,edges:x,graph:b}=this.context,z=y.map(re=>({id:re.id,data:Object.assign(Object.assign({},re.data),xg(re,this.config.outputNodeAttrs))})),ee=x.map(({id:re,source:ae,target:se,data:fe})=>({id:re,source:typeof ae=="object"?ae.id:ae,target:typeof se=="object"?se.id:se,data:fe}));return a&&z.forEach(re=>b.mergeNodeData(re.id,re.data)),{nodes:z,edges:ee}}initSimulation(){return wz()}setSimulation(a){const y=this.simulation||this.options.forceSimulation||this.initSimulation();return this.simulation||(this.simulation=y.on("tick",()=>{var x;return(x=a.onTick)===null||x===void 0?void 0:x.call(a,this.getResult())}).on("end",()=>{var x;return(x=this.resolver)===null||x===void 0?void 0:x.call(this,this.getResult())})),cM(y,this.config.simulationAttrs.map(x=>[x,a[x]])),Object.entries(this.forceMap).forEach(([x,b])=>{const z=x;if(a[x]){let ee=y.force(z);ee||(ee=b(),y.force(z,ee)),cM(ee,Object.entries(a[z]))}else y.force(z,null)}),y}}const cM=(E,a)=>a.reduce((y,[x,b])=>!y[x]||b===void 0?y:y[x].call(E,b),E);var dM=Oe(92546),_z=Oe.n(dM);class xy{constructor(a){this.id="dagre",this.options={},Object.assign(this.options,xy.defaultOptions,a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericDagreLayout(!1,a,Object.assign(Object.assign({},this.options),y))})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericDagreLayout(!0,a,Object.assign(Object.assign({},this.options),y))})}genericDagreLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const{nodeSize:b}=x,z=new dM.graphlib.Graph;z.setGraph(x),z.setDefaultEdgeLabel(()=>({}));const ee=y.getAllNodes(),re=y.getAllEdges();[...ee,...re].some(({id:se})=>Oi(se))&&console.error("Dagre layout only support string id, it will convert number to string."),y.getAllNodes().forEach(se=>{const{id:fe}=se,me=Object.assign({},se.data);if(b!==void 0){const[Ae,Te]=Iv(Gi(b)?b(se):b);Object.assign(me,{width:Ae,height:Te})}z.setNode(fe.toString(),me)}),y.getAllEdges().forEach(({id:se,source:fe,target:me})=>{z.setEdge(fe.toString(),me.toString(),{id:se})}),_z().layout(z);const ae={nodes:[],edges:[]};return z.nodes().forEach(se=>{const fe=z.node(se);ae.nodes.push({id:se,data:fe}),a&&y.mergeNodeData(se,fe)}),z.edges().forEach(se=>{const fe=z.edge(se),{id:me}=fe,Ae=(0,Rt._T)(fe,["id"]),{v:Te,w:Fe}=se;ae.edges.push({id:me,source:Te,target:Fe,data:Ae}),a&&y.mergeEdgeData(me,Ae)}),ae})}}xy.defaultOptions={};class xx{constructor(a){this.id=a.id||0,this.rx=a.rx,this.ry=a.ry,this.fx=0,this.fy=0,this.mass=a.mass,this.degree=a.degree,this.g=a.g||0}distanceTo(a){const y=this.rx-a.rx,x=this.ry-a.ry;return Math.hypot(y,x)}setPos(a,y){this.rx=a,this.ry=y}resetForce(){this.fx=0,this.fy=0}addForce(a){const y=a.rx-this.rx,x=a.ry-this.ry;let b=Math.hypot(y,x);b=b<1e-4?1e-4:b;const z=this.g*(this.degree+1)*(a.degree+1)/b;this.fx+=z*y/b,this.fy+=z*x/b}in(a){return a.contains(this.rx,this.ry)}add(a){const y=this.mass+a.mass,x=(this.rx*this.mass+a.rx*a.mass)/y,b=(this.ry*this.mass+a.ry*a.mass)/y,z=this.degree+a.degree,ee={rx:x,ry:b,mass:y,degree:z};return new xx(ee)}}class y0{constructor(a){this.xmid=a.xmid,this.ymid=a.ymid,this.length=a.length,this.massCenter=a.massCenter||[0,0],this.mass=a.mass||1}getLength(){return this.length}contains(a,y){const x=this.length/2;return a<=this.xmid+x&&a>=this.xmid-x&&y<=this.ymid+x&&y>=this.ymid-x}NW(){const a=this.xmid-this.length/4,y=this.ymid+this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new y0(b)}NE(){const a=this.xmid+this.length/4,y=this.ymid+this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new y0(b)}SW(){const a=this.xmid-this.length/4,y=this.ymid-this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new y0(b)}SE(){const a=this.xmid+this.length/4,y=this.ymid-this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new y0(b)}}class E0{constructor(a){this.body=null,this.quad=null,this.NW=null,this.NE=null,this.SW=null,this.SE=null,this.theta=.5,a!=null&&(this.quad=a)}insert(a){if(this.body==null){this.body=a;return}this._isExternal()?(this.quad&&(this.NW=new E0(this.quad.NW()),this.NE=new E0(this.quad.NE()),this.SW=new E0(this.quad.SW()),this.SE=new E0(this.quad.SE())),this._putBody(this.body),this._putBody(a),this.body=this.body.add(a)):(this.body=this.body.add(a),this._putBody(a))}_putBody(a){this.quad&&(a.in(this.quad.NW())&&this.NW?this.NW.insert(a):a.in(this.quad.NE())&&this.NE?this.NE.insert(a):a.in(this.quad.SW())&&this.SW?this.SW.insert(a):a.in(this.quad.SE())&&this.SE&&this.SE.insert(a))}_isExternal(){return this.NW==null&&this.NE==null&&this.SW==null&&this.SE==null}updateForce(a){if(!(this.body==null||a===this.body))if(this._isExternal())a.addForce(this.body);else{const y=this.quad?this.quad.getLength():0,x=this.body.distanceTo(a);y/xWc(Ke,[re,ae])),Fe=b.filter(Ke=>{const{source:Ze,target:Je}=Ke;return Ze!==Je}),Ue=new Zl({nodes:Te,edges:Fe}),je=this.getSizes(Ue,me);if(this.run(Ue,y,fe,je,a,ee),se){for(let Ze=0;Ze250&&(x.barnesHut=!0),ae===void 0&&y>100&&(x.prune=!0),se===0&&!ae?(x.maxIteration=250,y<=200&&y>100?x.maxIteration=1e3:y>200&&(x.maxIteration=1200)):se===0&&ae&&(x.maxIteration=100,y<=200&&y>100?x.maxIteration=500:y>200&&(x.maxIteration=950)),fe||(x.kr=50,y>100&&y<=500?x.kr=20:y>500&&(x.kr=1)),me||(x.kg=20,y>100&&y<=500?x.kg=10:y>500&&(x.kg=1)),x}run(a,y,x,b,z,ee){const{kr:re,barnesHut:ae,onTick:se}=ee,fe=a.getAllNodes();let me=0,Ae=x;const Te={},Fe={},Ue={};for(let je=0;je0;)me=this.oneStep(a,{iter:Ae,preventOverlapIters:50,krPrime:100,sg:me,forces:Te,preForces:Fe,bodies:Ue,sizes:b},ee),Ae--,se==null||se({nodes:fe,edges:y.getAllEdges()});return a}oneStep(a,y,x){const{iter:b,preventOverlapIters:z,krPrime:ee,sg:re,preForces:ae,bodies:se,sizes:fe}=y;let{forces:me}=y;const{preventOverlap:Ae,barnesHut:Te}=x,Fe=a.getAllNodes();for(let Ue=0;Uez||!Ae)?me=this.getOptRepGraForces(a,me,se,x):me=this.getRepGraForces(a,b,z,me,ee,fe,x),this.updatePos(a,me,ae,re,x)}getAttrForces(a,y,x,b,z,ee){const{preventOverlap:re,dissuadeHubs:ae,mode:se,prune:fe}=ee,me=a.getAllEdges();for(let Ae=0;Ae0&&(at=tt,st=tt),z[Te][0]+=at*Je[0],z[Fe][0]-=st*Je[0],z[Te][1]+=at*Je[1],z[Fe][1]-=st*Je[1]}return z}getOptRepGraForces(a,y,x,b){const{kg:z,center:ee,prune:re}=b,ae=a.getAllNodes(),se=ae.length;let fe=9e10,me=-9e10,Ae=9e10,Te=-9e10;for(let Ze=0;Ze=me&&(me=tt.x),tt.x<=fe&&(fe=tt.x),tt.y>=Te&&(Te=tt.y),tt.y<=Ae&&(Ae=tt.y))}const Fe=Math.max(me-fe,Te-Ae),Ue={xmid:(me+fe)/2,ymid:(Te+Ae)/2,length:Fe,massCenter:ee,mass:se},je=new y0(Ue),Ke=new E0(je);for(let Ze=0;Ze0&&(Bt=se*(Ke+1)*(ft+1)/wt),b[je.id][0]-=Bt*lt[0],b[st.id][0]+=Bt*lt[0],b[je.id][1]-=Bt*lt[1],b[st.id][1]+=Bt*lt[1]}const Ze=[je.data.x-me[0],je.data.y-me[1]],Je=Math.hypot(Ze[0],Ze[1]);Ze[0]=Ze[0]/Je,Ze[1]=Ze[1]/Je;const tt=fe*(Ke+1);b[je.id][0]-=tt*Ze[0],b[je.id][1]-=tt*Ze[1]}return b}updatePos(a,y,x,b,z){const{ks:ee,tao:re,prune:ae,ksmax:se}=z,fe=a.getAllNodes(),me=fe.length,Ae=[],Te=[];let Fe=0,Ue=0,je=b;for(let Ze=0;Ze1.5*Ke?1.5*Ke:je);for(let Ze=0;Zelt?lt:st;const wt=st*y[Je][0],Bt=st*y[Je][1];a.mergeNodeData(Je,{x:tt.x+wt,y:tt.y+Bt})}return je}}const zz={maxIteration:1e3,gravity:10,speed:5,clustering:!1,clusterGravity:10,width:300,height:300,nodeClusterBy:"cluster"},Uz=800;class Wz{constructor(a={}){this.options=a,this.id="fruchterman",this.timeInterval=0,this.running=!1,this.options=Object.assign(Object.assign({},zz),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericFruchtermanLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericFruchtermanLayout(!0,a,y)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(a=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let x=0;xthis.lastGraph.mergeNodeData(x.id,{x:x.data.x,y:x.data.y,z:this.options.dimensions===3?x.data.z:void 0})),y}genericFruchtermanLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){if(this.running)return;const b=this.formatOptions(x),{dimensions:z,width:ee,height:re,center:ae,clustering:se,nodeClusterBy:fe,maxIteration:me,onTick:Ae}=b,Te=y.getAllNodes(),Fe=y.getAllEdges();if(!(Te!=null&&Te.length)){const Je={nodes:[],edges:Fe};return this.lastResult=Je,Je}if(Te.length===1){a&&y.mergeNodeData(Te[0].id,{x:ae[0],y:ae[1],z:z===3?ae[2]:void 0});const Je={nodes:[Object.assign(Object.assign({},Te[0]),{data:Object.assign(Object.assign({},Te[0].data),{x:ae[0],y:ae[1],z:z===3?ae[2]:void 0})})],edges:Fe};return this.lastResult=Je,Je}const Ue=Te.map(Je=>Wc(Je,[ee,re])),je=new Zl({nodes:Ue,edges:Fe}),Ke={};if(se&&Ue.forEach(Je=>{const tt=Je.data[fe];Ke[tt]||(Ke[tt]={name:tt,cx:0,cy:0,count:0})}),this.lastLayoutNodes=Ue,this.lastLayoutEdges=Fe,this.lastAssign=a,this.lastGraph=je,this.lastOptions=b,this.lastClusterMap=Ke,typeof window=="undefined")return;let Ze=0;return new Promise(Je=>{this.timeInterval=window.setInterval(()=>{if(!this.running){Je({nodes:Ue,edges:Fe});return}this.runOneStep(je,Ke,b),a&&Ue.forEach(({id:tt,data:at})=>y.mergeNodeData(tt,{x:at.x,y:at.y,z:z===3?at.z:void 0})),Ae==null||Ae({nodes:Ue,edges:Fe}),Ze++,Ze>=me&&(window.clearInterval(this.timeInterval),Je({nodes:Ue,edges:Fe}))},0),this.running=!0})})}formatOptions(a={}){const y=Object.assign(Object.assign({},this.options),a),{clustering:x,nodeClusterBy:b}=y,{center:z,width:ee,height:re}=y;return y.width=!ee&&typeof window!="undefined"?window.innerWidth:ee,y.height=!re&&typeof window!="undefined"?window.innerHeight:re,y.center=z||[y.width/2,y.height/2],y.clustering=x&&!!b,y}runOneStep(a,y,x){const{dimensions:b,height:z,width:ee,gravity:re,center:ae,speed:se,clustering:fe,nodeClusterBy:me,clusterGravity:Ae}=x,Te=z*ee,Fe=Math.sqrt(Te)/10,Ue=a.getAllNodes(),je=Te/(Ue.length+1),Ke=Math.sqrt(je),Ze={};if(this.applyCalculate(a,Ze,Ke,je),fe){for(const tt in y)y[tt].cx=0,y[tt].cy=0,y[tt].count=0;Ue.forEach(tt=>{const{data:at}=tt,st=y[at[me]];Oi(at.x)&&(st.cx+=at.x),Oi(at.y)&&(st.cy+=at.y),st.count++});for(const tt in y)y[tt].cx/=y[tt].count,y[tt].cy/=y[tt].count;const Je=Ae||re;Ue.forEach((tt,at)=>{const{id:st,data:ft}=tt;if(!Oi(ft.x)||!Oi(ft.y))return;const lt=y[ft[me]],wt=Math.sqrt((ft.x-lt.cx)*(ft.x-lt.cx)+(ft.y-lt.cy)*(ft.y-lt.cy)),Bt=Ke*Je;Ze[st].x-=Bt*(ft.x-lt.cx)/wt,Ze[st].y-=Bt*(ft.y-lt.cy)/wt})}Ue.forEach((Je,tt)=>{const{id:at,data:st}=Je;if(!Oi(st.x)||!Oi(st.y))return;const ft=.01*Ke*re;Ze[at].x-=ft*(st.x-ae[0]),Ze[at].y-=ft*(st.y-ae[1]),b===3&&(Ze[at].z-=ft*(st.z-ae[2]))}),Ue.forEach((Je,tt)=>{const{id:at,data:st}=Je;if(Oi(st.fx)&&Oi(st.fy)){st.x=st.fx,st.y=st.fy,b===3&&(st.z=st.fz);return}if(!Oi(st.x)||!Oi(st.y))return;const ft=Math.sqrt(Ze[at].x*Ze[at].x+Ze[at].y*Ze[at].y+(b===3?Ze[at].z*Ze[at].z:0));if(ft>0){const lt=Math.min(Fe*(se/Uz),ft);a.mergeNodeData(at,{x:st.x+Ze[at].x/ft*lt,y:st.y+Ze[at].y/ft*lt,z:b===3?st.z+Ze[at].z/ft*lt:void 0})}})}applyCalculate(a,y,x,b){this.calRepulsive(a,y,b),this.calAttractive(a,y,x)}calRepulsive(a,y,x){const b=a.getAllNodes();b.forEach(({data:z,id:ee},re)=>{y[ee]={x:0,y:0,z:0},b.forEach(({data:ae,id:se},fe)=>{if(re<=fe||!Oi(z.x)||!Oi(ae.x)||!Oi(z.y)||!Oi(ae.y))return;let me=z.x-ae.x,Ae=z.y-ae.y,Te=this.options.dimensions===3?z.z-ae.z:0,Fe=me*me+Ae*Ae+Te*Te;Fe===0&&(Fe=1,me=.01,Ae=.01,Te=.01);const Ue=x/Fe,je=me*Ue,Ke=Ae*Ue,Ze=Te*Ue;y[ee].x+=je,y[ee].y+=Ke,y[se].x-=je,y[se].y-=Ke,this.options.dimensions===3&&(y[ee].z+=Ze,y[se].z-=Ze)})})}calAttractive(a,y,x){a.getAllEdges().forEach(z=>{const{source:ee,target:re}=z;if(!ee||!re||ee===re)return;const{data:ae}=a.getNode(ee),{data:se}=a.getNode(re);if(!Oi(se.x)||!Oi(ae.x)||!Oi(se.y)||!Oi(ae.y))return;const fe=se.x-ae.x,me=se.y-ae.y,Ae=this.options.dimensions===3?se.z-ae.z:0,Te=Math.sqrt(fe*fe+me*me+Ae*Ae)/x,Fe=fe*Te,Ue=me*Te,je=Ae*Te;y[ee].x+=Fe,y[ee].y+=Ue,y[re].x-=Fe,y[re].y-=Ue,this.options.dimensions===3&&(y[ee].z+=je,y[re].z-=je)})}}const jz={begin:[0,0],preventOverlap:!0,preventOverlapPadding:10,condense:!1,rows:void 0,cols:void 0,position:void 0,sortBy:"degree",nodeSize:30,width:300,height:300};class Gz{constructor(a={}){this.options=a,this.id="grid",this.options=Object.assign(Object.assign({},jz),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericGridLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericGridLayout(!0,a,y)})}genericGridLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),{begin:z=[0,0],condense:ee,preventOverlapPadding:re,preventOverlap:ae,rows:se,cols:fe,nodeSpacing:me,nodeSize:Ae,width:Te,height:Fe,position:Ue}=b;let{sortBy:je}=b;const Ke=y.getAllNodes(),Ze=y.getAllEdges(),Je=Ke==null?void 0:Ke.length;if(!Je||Je===1)return Pg(y,a,z);const tt=Ke.map(wn=>Wc(wn));je!=="id"&&(!Ls(je)||tt[0].data[je]===void 0)&&(je="degree"),je==="degree"?tt.sort((wn,qn)=>y.getDegree(qn.id,"both")-y.getDegree(wn.id,"both")):je==="id"?tt.sort((wn,qn)=>Oi(qn.id)&&Oi(wn.id)?qn.id-wn.id:`${wn.id}`.localeCompare(`${qn.id}`)):tt.sort((wn,qn)=>qn.data[je]-wn.data[je]);const at=!Te&&typeof window!="undefined"?window.innerWidth:Te,st=!Fe&&typeof window!="undefined"?window.innerHeight:Fe,ft=Je,lt={rows:se,cols:fe};if(se!=null&&fe!=null)lt.rows=se,lt.cols=fe;else if(se!=null&&fe==null)lt.rows=se,lt.cols=Math.ceil(ft/lt.rows);else if(se==null&&fe!=null)lt.cols=fe,lt.rows=Math.ceil(ft/lt.cols);else{const wn=Math.sqrt(ft*st/at);lt.rows=Math.round(wn),lt.cols=Math.round(at/st*wn)}if(lt.rows=Math.max(lt.rows,1),lt.cols=Math.max(lt.cols,1),lt.cols*lt.rows>ft){const wn=Sy(lt),qn=by(lt);(wn-1)*qn>=ft?Sy(lt,wn-1):(qn-1)*wn>=ft&&by(lt,qn-1)}else for(;lt.cols*lt.rows=ft?by(lt,qn+1):Sy(lt,wn+1)}let wt=ee?0:at/lt.cols,Bt=ee?0:st/lt.rows;if(ae||me){const wn=Cg(10,me),qn=ux(30,Ae,!1);tt.forEach(yn=>{(!yn.data.x||!yn.data.y)&&(yn.data.x=0,yn.data.y=0);const En=y.getNode(yn.id),[Pn,or]=Iv(qn(En)||30),xn=wn!==void 0?wn(yn):re,yr=Pn+xn,na=or+xn;wt=Math.max(wt,yr),Bt=Math.max(Bt,na)})}const Vt={},Xt={row:0,col:0},vn={};for(let wn=0;wn{y.mergeNodeData(wn.id,{x:wn.data.x,y:wn.data.y})}),on})}}const Sy=(E,a)=>{let y;const 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",Me="data:image/png;base64,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",pe="data:image/png;base64,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",ye="data:image/png;base64,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",be="data:image/png;base64,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",ce="data:image/png;base64,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",te="data:image/png;base64,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",ne="data:image/png;base64,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",le="data:image/png;base64,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",oe="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAFNBJREFUeF7tW2d4VVXWfs9NJUAMgQQCIzUhdARGQ2/SizAOAUTsNEF4BHVGBPxE2ki3jA6oKCpNNEpJjBQlCoSSUEIgECRAQnoICenlnvM9e+29T7m5CQ7wfN8friW59+y97znr3e9a71prR7kdv1lTFAVQFCiKjf9k/7DPwN7Ka/RGfO74k4/TAGiKAhvNBDSbWEOjqXTtTi+bylYR89mK/F9A0/Sf7BNNo2/jn9OvfB77nP6Tc9nnmgpNU+m6yn6yoaoGdseaKtcSY+R88ZOtq9DX8Hl8ffa7/F6VP7dpPL8fth6/R3mNPT19ZrpX8XTG8wHpNqiHFMXlH38ZsfiGkn/uSwKIA2EzAJEgsY9hBYk+ofHsXz6H3QrHQ4HqDCRp9TuApAiDkLHFA0lYueElGAZI7HNuRPmZ4+/MoNJgVmMqAiC+rp2ML41oNjq7Lw4Qv24eIzdPzSDxuTWCRGByQ9mg5SqKrbOSxwAig7NdzhjEDc7teGcm0XjJNNPP/xuQpDEFnCaQ+O4VO1YyTux+yzXGJBNrABWaylgh2WmAIcdx9lhB0lnuDLy7YBLZFOo2JS9uk3BxzNBWJllAItfHacIZJdyfZJcDmBZ3Z3JvupO7b0wymEHbr0YmGe7OzDZydzr7uAurlknkgvlOd8YmC/iOYJk2itg9JjcofYbhzm1AupJ3dpNGcYMMxgEyuzsrSMLdOQGJxywr42oGiYNc08vs7iiCMFfGn0xiQa6rKlPEQzrEJX2cCQBpUAaSsLpYX4CkA1Izkywur0pMMtiox09xbyq5ZwN0xmAyDLtHZs9bZz7XRQIngzMmmQSDdGP/DyAZ8UeICD0m8YfixuaMssYkueNNhnBkCVcQOkjcxd0DSOLeqsQqk7uziAWnwkGFknfqM42iu67WHBSaHpMMkKTCM9ydEbOcqcB7dnekuIwX7TqnTGIgCYUl5Z+u6syskmwwAr6urpjidIxJumqzxh5nMelPM0lXmqZYWQUkRQDEo3wNIHEJbpHeXLQiPfEsfP/SCrW8fXVh4QhS8rloePs3wUMBzbkEv5uYZAKJyK+rcY02PseLMcmQ3apaCUVxEZLYUXqzkVIuy7gjGeQAEjGJKTyrlOcS3EEsVHkvXbLJzVninVV5Wt2dBiU3dqNJZjsBScQkQ2rzLIeBVVFWjLDFL6L3s6/j4fYhIk/SYK+osORLPy6fjqAew9Bu4JM0hq2g2GxQ3Nz5WvL/CpCReBaZV+KdhiYDFIIBDVt1REBgRwLFAIkb8cqJg0j4bRf6v7QAXt71CSS1sgKnf/pGJlYixxLoSncJDR51fRDcY4Th7kgRVKKkIA8FNzNwK/UqcpITkZeZgoFT3kbWlXjkJF+WfldyW09xavs2RPPOvatKcwegdI1tiklKbsx/NM4OnqQKzawnpUaiaoiAa7FR8H04ELV9GiDs3RfR55nX4dO4GQ5ueAf9XpiPn9a9XnP0B9Dir/3R++l5ejIrgTod/jXi9+9E3foNa1yj4GYmOg2diM5Dn9LdH3N9QjGg4GYaojatQEVZCfpPXQSfBk1QWV6KHQsno37TQHh4edPQ7GsJ8PCqC2//xmSfwpwM2NzcMGjGEjIw29Exuz5DyoWTsFeU0xwXV1fUa9wCvk1aoXnXvrgcHYmU+OPwaxpsgMOJg1sZ11G3fiM8OmaqsSGc5lGcScRImsvjpXLz5Mc6QFK9SRckFZ2u0CgTVRC9bT38W7RD86798MOSl9Br8jy6scTDERg47W0U5eda8qh9H85Hi279ENRrOKlF9tWunl7wquNTxd2dCf8KiUd+xvgVW6sFiCWX2+ZPQLt+Y9Bp2CSTumNx3gCpsqwEh75YgVupSRgwZSF8Gj6M7QueRv+X3kKjoEdo3r6P3oR/y/b6OvEHv0NqQgwGvbyUr6sBNy6cQHH+TXj5NEDs7k1o3XM4gkIGi72gIW7fduRcu4QBLy0EJb6m6kHM7k2wV5ZzgGpQd+aqgxkk5eaJjzVewmGkcbEwiclvC0ji/aUj4bideQNdR72gA5SXdg2VFaXoMup5pMafwM3UJAEScOlwBMUp/xZtCRwGc4fB4+Hi7lklJjGALt8BIPag2/85ngB6ZNgk2Fl6JoHRk1OepNorSnDi+43oNGQi3GvXwY63nkbHwaHwbdySDHlqz2b4BDRDi679aHzyuSP0bINmLtNdErlWsev3rJmDoB5D0TpkiJ4Hxe3fjpyrDKBFhlQX40/u+ZyY99jYac4rHaL0Y+RlViYpOcc/0lg84DmMFSRNiAczSOz3nOuJOLX3Cwyc+g5+XDoVvZ6ei6sxh9CsS280e6Q3+X/mOkQtCClxx+Dt15gMIV/dx82AzcNL1P5ELU8BdICWb60xT2IAte03Bl2GTeKlNfZtQt2Z5TivwfGHtpeXYftbk+BZxxsurjz+lRTegouLO9xqedH7itJict2DZy23VAukbN+zejZa9xyGoJAhAjQVcfu2ITMpAT0nzuEMMhk97sAOev/Y36YbYsWs1pyIDHm/9DwMIMciqGNMcmSSWlmOmB8/R5cxL2D30ukEUEVJMRoFdYSXj58ex6Rr/HHJFLTuPQIdHh/HGUoBh1cmKM2UtTsFOB3xNS5G7UWvyXNrBOjw5jVoP+hJPDJ0Eq9v8QwIankZbqVd1eMtW75B00AaUckAmj8JA6YuREBgZ7qNyA/+iYat2qPz8KdpTvyBnUi9cAJDXlmhA/T7VytRdDOTxhfm5cDD0wtunl70nY9PfRvMLSbFRlXrkv2atUHIk9Or1vhMxVNr/c9IvpXsYx/yRFUoK6OaYBUOZpByU68AqkoPfPjr1egwOBT+zdvB3asOKafrpw9Xe7PmC6Pf/Ag+/g/rILG7OBPBRcKfeXUa/hQZlu1aCdKtrBTsWT7TMn3yqu8Bm41Ewvb5T6H7+Fnwa9mWEtPfNq+EX7PWaNPvCR5Hj/yErKQLGDJ7hb7jmQgoKbyN8uIC8hR+LdrCt0lLAr1t71EoK76N0qICQwRQwkupM4Hi4uYBr4d8q9bvzLJd5aDw5FhUzxkmWdEfWGS2Xuohl2cGSQFzeex6+KrZKC8urGLDRkGd0G3MFJSXFOrVbskUThRRFWeRRwEeatgUru7M1bC1xSaxV8JOUUUQTTDMGWA2mysUF1cyhoxB9soK5OdmUHBPOXsUpyO+AQOIjassL8G2NyfeEXufgKYY8sp7nN+mpPXSkQic+3k7gnsOQ4dBE3QXx3Ik8zgKWaoKmyl28RhjKks5Flxle8RSWlKhZB59XwfILKmN2poBkoxJbCcyc6YlxCB21yZ0HfMCmnbsAcXmAjcPL6RfPoPsKxd0kSBjEdlaGPyR4ZOhuLqJ9/yKDpIERZQP5JyaLMsA4Ume4e6Sjh/A0W0fYPLq76HYXGlnlhXlmXpJwIEN75B46TAoVDey4sKfQy8dCaNFrn+D8iDFpqD7uJlo3KYbyevYPV+IW5MKsuqdNu/cC+36/a1akMw1QTOQSuaR9XoMMgqlpqKp6PfIPImMKJgUtWkpclOuwLOuDx6fsRheD9WneHIuchuSTv6CgLZddUDkLRfmZpEknbBiK1zdatH4/PRrCF/3mlP7e9cPwOgFn6C8KB87Fz1XLUaj53N3ydydBOny8f2I3vYBnlkdBmb0suIi3e1IWXvgk7fh17IdOg2ZQM07msuCs2KDi7uH3kfKTIrH+QPfoSAnHQHBXZCWEIseobNQy8cPN5MT9QLr7Zx0JB6NRHDvEajN4rGQ6rV9/eHTsKnu5mQ7w9q64NUNngLxBqGSdXi9pon6izNJzZnEWSQZxkDKTbuC2LCNKLqVjWade1JWPWDqItp5cZHbkfHHWQybs4oeWM5jaF0//Tuit3+ICcu3kMxmdYW89OsIX/Mq2g0YS2pPVm5S4o6iICcDYxZ9ijIG0FuTEdRzKOo3DdKBYnMvRu3BEws/wUMMIPZ9wtAMIM6gMGiqHVv+EXpH9yYHMDc3bM5KIdXLsO/fC9B19POI3vY+WvcZCZvNBecPhmHIzCXwqltfNBftyLp6AYe3rEPf595AvYAWJqlulKB0d0ehytp3MtcEqcGX9fs6YpBKYcF53uMIkqraEbV5BZVvTn7/H3SfMBsp547BXlGKXpNfR/z+b5EYHYladX2ssQQKBeqy4kKMX7YFrmyHKgry0pIRsXYuhsxahoatOtAclUnu3V+C1fHMAPV9/g0069pPXzftYiwOfvw/OkCSPiwm/XF8P44wgNaEwabYkJp4Rs/QMxLP0drsVbueP7KvJuDRv09DLZY8s0Ta3RP1m7am30+Hf4X8zGT0fe5N7Fo+HcF9RqF1r+GIP/g92vcfi4riIoo5zNzZyZdwbOcn6DlxNnwaGYxx96zNXbCpbV5tYVXEMGJf5m9r9XYDM4pjziMluAGSgviDO3E7Jw2P/v1lhK98BSETXqGyx6+fLsagGYtxOfpnpF6IwaNPzjB1Z3mcyfgjDud/CcP4Zd+QEdiLsSBi7WsEkF/L9rrsjt3zJVLORWPsgo0oLblNDOrDAOrSVy/cOgVI+LikY/sIoGfW/IDiwnx4efvS95UX3caeVXMQEjoTcZFb0TCwI+30W+nXMHAqSzZFJ1YDbmelImL9PCr91GvSEruWTRMAjdDdYfiqOSgtzK+WnS6ubhj52nrh7v4cSBI8JfO3NcQgHtENpVadu8vPTEXUl8sw4MW3UateA1J0IeNnoXHbv9KDs3gUv28HUs4fR6ehTxlNQHH72dcvEYChS78WALEYdB0R617DkJlL4d+qPTWqWEno1B7BoAUbae1vF5oA4r4T1QLECqbH9uPo1vcxat5aHPj0XTwx/yN41qqLqC/+BXtlJfpPWYif1s5Do8CO6DB4HHa/NxvBfUaiXf+xoiIAqgKc3PU5HqM8RsWPS6chuO9IBPcaqbsvBixTj0yosELqmcgt6DryWdT1CxCMVShJ143uhEnVsUnJiFot8iB5MIS7O+YSLO0FcepHtVcgIWo3Og4aj8qyUuxdM4cACmjTDTaqSADn9+/AlZMH4dO4uV6r5vgoFEsKstMRuoQBJFxc+nUqsDJ/zhjE4h2LQ2f2bkZyXDSeWMgB2mkCiK8GpF06VdXFic0gAWJVgoDATug+fiaOffsxMpPOY8TcNajj2xAR6+ahUauO6DL6WaRePEXg8RrfRHFqBVDtlXRWg71+WDqFGNSmNwfIKNHwclDOlfOI+noV+r/wFnybsBhklepWkIz51QKUdmiVxnarHsjZY9sEk6qNSbzzWlFaivC1ryIkdBYC2nbjECgKzu//Fkz1DJ65zDgpJNZKPnMYx3b+G6HvfsVFggLkZSQTQKwA61G7rsQSeenJ9NBjF2xASXEBvls4GQ2aBqGWT33dnZQW5CH76kVrDBJXf9+8Etdif0P7gU8i6LHH8eumFVS4ZG7Y268JjQpfOxeNAjuhyyimEFXcuBBDyWuTtt2odMNKQuYjXAygNn1HI7j3KGj2SpSVFOkgsF2Vc/0Sond8iF6T5sI3oLnRR9I0KifxJNTo3MojXTrQDqArqb+uJAZJkOTulV1WI7k04pOMS4xB7AFDxs3kAAmgJUCsIizleUl+DrKvXcTlo5Gk/MYu+Aw2F97iyGcArWcAtYVHHd4GYPxgsYk90ZgFG1DGGLToGQKIVZUpJwNQdjsPWVcTnAKU8OsPVJIJ7DGU+kwxYZ9i8IzF8PTmWT1bQgdo9PPCHanEpNN7v8KgmUvg7lGb50cikQxb8hIB1KbPE8jPTkHkujeqjT2OF0bNWwdXD0+HGl/V41xmNilpv7xHh0bMIIlEhx90M1W0JUMkaPZyBtA8hIx7mZI2niMpSPg1DFlJ5zFg2juivWRDaWEeDn22hNoMrNDY8tGBOuOK8rKpjM+SVyZvZbnpSswvuHntEh4LnQXWOji8ZQ3aDxwH/5bteGnHpiD3xh84G7GV3JdXPb8ajaVVlMPFxY0Hd5Hv7PtoPhq16kDtBqPIqkK126mpyI0ldj007F39Klr3GIrA7kNJkfKisNnI4hZMvR2Z8Po1C+bu26GKYHRleYnHAlDqL+8Rg6gNYALqz4Kkqzt2iIR9ucldciDFulTekTLe6MpK0GXLw7Fwy6/zmCR7SfQdIgbJ06syJpnKF87B0jRegjGBJM87kOHogii98jc6SDKp5EOsByf5NfOhRlHZsLgs3ja3nlLl7o5LcGtMIpanHvyXXkmQIFlikpOzCrL0YpSG5GFH3rYgozn2koSh+eeOAoTnYHQIRT++JUxuOorsCNLdnm9ghpAgWY9zCcP/tyCZThc5npUz95I4M6jmXgWM6s43KDcOrDCdzWZM4n0hAyRe2JRS3CimVo1J8mSqLturgGSIEWeHUAgcAolZiIF4Z5DkEMkc8/mGmv2dGSSe5etnyh3aztYip9G8k2zTXZJ+VMt8+seRSeZjyLJybWrSibqfYFM6AWR1M7xoSVwwHWJ0BpIhwzmIfLyLUG7isLwzkETrnI83uTt5WtXp0WM5zrm745uCQ0LsYG5b+q7qkPqvmCTijMNxLou7oyEOlW3huqxMMkAyg08uzdTAg4ZtSsr+5UY/yOTOZBPNDBK7LIWAnshyZEx/BcFBMup2ojlnERsKVYS5GHCSb5GVq7o764ao2vCThVwJkqy+18Sk6k+vioBNBzRkTDLOOzCcVNHDkZVog0nVuTAT++RfXDi0IUx5Uq4nPDsryfuWiXYDdydGYZMb3mCS1dVZY4ycK4UAd0+cTWInV8ckPcaYmSTcnP7nLqLgavqrCuaQ+HFla1fWEaQ/w6SaQTIq3PLUqmQNT2rMgsHIcaqPM6IZJ5ty5hOuXLikQ1MPedrd/+HVfeoN5eiGFzcAmFbdLus5fdOdHEWNrv7BxXuzgHL+23fc82+lHAK0Hs6WegDQvRn4XmcTO2I2TAsohz0W0AIcF3wA0L2a+N7m6+7r+Ocv9lDtOKRp4OeRxOsBQPdm4HudbYkvxz6dMk1VVRaTHgB0r5a9T/OrCABH0fCAQffJ0ne5TBWAHEXDA4Du0rL3aZpTCW0WDQ8Auk+Wvstlqs1xpGjoMW2Tx12u/WDafbBAjUkoEw3dp3628T58z4Ml7tIC/wuyLDr7JEtoSQAAAABJRU5ErkJggg==",de="data:image/png;base64,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",he="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/y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",mn="data:image/png;base64,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",Ot="data:image/png;base64,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",xt="data:image/png;base64,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",bt="data:image/png;base64,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",Yt="data:image/png;base64,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in E?cn(E,a,{enumerable:!0,configurable:!0,writable:!0,value:y}):E[a]=y,rr=(E,a)=>{for(var y in a||(a={}))Zn.call(a,y)&&er(E,y,a[y]);if(dn)for(var y of dn(a))Mn.call(a,y)&&er(E,y,a[y]);return E};const mr=()=>`shadow-${Math.random().toString(36).slice(2,9)}`;var tn=({percentage:E,startAngle:a=270,strokeColor:y="#42BECD",trackColor:x="#e6e6e6",innerBackgroundColor:b="#fff",text:z="",textColor:ee="#000",textSize:re="1rem",textPadding:ae="28rem",outerDiameter:se,innerDiameter:fe,maxTextLength:me=6,onClick:Ae,hoverEffect:Te=!0,style:Fe})=>{const[Ue,je]=(0,Re.useState)(0),[Ke,Ze]=(0,Re.useState)(0),[Je,tt]=(0,Re.useState)(!1),at=Pn=>{var or,xn;const yr=parseFloat(Pn),na=parseFloat((xn=(or=document.documentElement)==null?void 0:or.style)==null?void 0:xn.fontSize);return yr*na},st=()=>{je(at(se)),Ze(at(fe))};(0,Re.useEffect)(()=>(st(),window.addEventListener("resize",st),()=>window.removeEventListener("resize",st)),[se,fe]);const 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",Hn="data:image/png;base64,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",fr="data:image/png;base64,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",tr="data:image/png;base64,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",hr="data:image/png;base64,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",Wf="data:image/png;base64,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Ue>0?(je=Math.sqrt(Ue+1)*2,E[3]=.25*je,E[0]=(me-Te)/je,E[1]=(Ae-ae)/je,E[2]=(re-se)/je):ee>fe&&ee>Fe?(je=Math.sqrt(1+ee-fe-Fe)*2,E[3]=(me-Te)/je,E[0]=.25*je,E[1]=(re+se)/je,E[2]=(Ae+ae)/je):fe>Fe?(je=Math.sqrt(1+fe-ee-Fe)*2,E[3]=(Ae-ae)/je,E[0]=(re+se)/je,E[1]=.25*je,E[2]=(me+Te)/je):(je=Math.sqrt(1+Fe-ee-fe)*2,E[3]=(re-se)/je,E[0]=(Ae+ae)/je,E[1]=(me+Te)/je,E[2]=.25*je),E}function mL(E,a,y,x){var b=a[0],z=a[1],ee=a[2],re=a[3],ae=b+b,se=z+z,fe=ee+ee,me=b*ae,Ae=b*se,Te=b*fe,Fe=z*se,Ue=z*fe,je=ee*fe,Ke=re*ae,Ze=re*se,Je=re*fe,tt=x[0],at=x[1],st=x[2];return E[0]=(1-(Fe+je))*tt,E[1]=(Ae+Je)*tt,E[2]=(Te-Ze)*tt,E[3]=0,E[4]=(Ae-Je)*at,E[5]=(1-(me+je))*at,E[6]=(Ue+Ke)*at,E[7]=0,E[8]=(Te+Ze)*st,E[9]=(Ue-Ke)*st,E[10]=(1-(me+Fe))*st,E[11]=0,E[12]=y[0],E[13]=y[1],E[14]=y[2],E[15]=1,E}function j0(E,a,y,x,b){var 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E[0]===a[0]&&E[1]===a[1]&&E[2]===a[2]&&E[3]===a[3]&&E[4]===a[4]&&E[5]===a[5]&&E[6]===a[6]&&E[7]===a[7]&&E[8]===a[8]&&E[9]===a[9]&&E[10]===a[10]&&E[11]===a[11]&&E[12]===a[12]&&E[13]===a[13]&&E[14]===a[14]&&E[15]===a[15]}function ML(E,a){var y=E[0],x=E[1],b=E[2],z=E[3],ee=E[4],re=E[5],ae=E[6],se=E[7],fe=E[8],me=E[9],Ae=E[10],Te=E[11],Fe=E[12],Ue=E[13],je=E[14],Ke=E[15],Ze=a[0],Je=a[1],tt=a[2],at=a[3],st=a[4],ft=a[5],lt=a[6],wt=a[7],Bt=a[8],Vt=a[9],Xt=a[10],vn=a[11],on=a[12],wn=a[13],qn=a[14],yn=a[15];return 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0&&(this.view.enabled=!1),this.projectionMode===rd.PERSPECTIVE?this.setPerspective(this.near,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far),this}},{key:"setZoom",value:function(y){return this.zoom=y,this.projectionMode===rd.ORTHOGRAPHIC?this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far):this.projectionMode===rd.PERSPECTIVE&&this.setPerspective(this.near,this.far,this.fov,this.aspect),this}},{key:"setZoomByViewportPoint",value:function(y,x){var b=this.canvas.viewport2Canvas({x:x[0],y:x[1]}),z=b.x,ee=b.y,re=this.roll;this.rotate(0,0,-re),this.setPosition(z,ee),this.setFocalPoint(z,ee),this.setZoom(y),this.rotate(0,0,re);var ae=this.canvas.viewport2Canvas({x:x[0],y:x[1]}),se=ae.x,fe=ae.y,me=qi(se-z,fe-ee,0),Ae=qu(me,this.right)/Io(this.right),Te=qu(me,this.up)/Io(this.up),Fe=this.getPosition(),Ue=(0,Wn.Z)(Fe,2),je=Ue[0],Ke=Ue[1],Ze=this.getFocalPoint(),Je=(0,Wn.Z)(Ze,2),tt=Je[0],at=Je[1];return this.setPosition(je-Ae,Ke-Te),this.setFocalPoint(tt-Ae,at-Te),this}},{key:"setPerspective",value:function(y,x,b,z){var ee;this.projectionMode=rd.PERSPECTIVE,this.fov=b,this.near=y,this.far=x,this.aspect=z;var re=this.near*Math.tan(Ys(.5*this.fov))/this.zoom,ae=2*re,se=this.aspect*ae,fe=-.5*se;if((ee=this.view)!==null&&ee!==void 0&&ee.enabled){var me=this.view.fullWidth,Ae=this.view.fullHeight;fe+=this.view.offsetX*se/me,re-=this.view.offsetY*ae/Ae,se*=this.view.width/me,ae*=this.view.height/Ae}return lT(this.projectionMatrix,fe,fe+se,re-ae,re,y,this.far,this.clipSpaceNearZ===Am.ZERO),Uu(this.projectionMatrixInverse,this.projectionMatrix),this.triggerUpdate(),this}},{key:"setOrthographic",value:function(y,x,b,z,ee,re){var ae;this.projectionMode=rd.ORTHOGRAPHIC,this.rright=x,this.left=y,this.top=b,this.bottom=z,this.near=ee,this.far=re;var se=(this.rright-this.left)/(2*this.zoom),fe=(this.top-this.bottom)/(2*this.zoom),me=(this.rright+this.left)/2,Ae=(this.top+this.bottom)/2,Te=me-se,Fe=me+se,Ue=Ae+fe,je=Ae-fe;if((ae=this.view)!==null&&ae!==void 0&&ae.enabled){var Ke=(this.rright-this.left)/this.view.fullWidth/this.zoom,Ze=(this.top-this.bottom)/this.view.fullHeight/this.zoom;Te+=Ke*this.view.offsetX,Fe=Te+Ke*this.view.width,Ue-=Ze*this.view.offsetY,je=Ue-Ze*this.view.height}return 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b=this.parsedStyle,z=b.markerStart,ee=b.markerEnd,re=b.markerStartOffset,ae=b.markerEndOffset,se=b.points,fe=se||{},me=fe.points,Ae=x?z:ee;if(!(!Ae||!Os(Ae)||!me)){var Te=0,Fe,Ue,je,Ke,Ze,Je;if(je=me[0][0],Ke=me[0][1],x)Fe=me[1][0]-me[0][0],Ue=me[1][1]-me[0][1],Ze=re||0,Je=this.markerStartAngle;else{var tt=me.length;this.parsedStyle.isClosed?(Fe=me[tt-1][0]-me[0][0],Ue=me[tt-1][1]-me[0][1]):(je=me[tt-1][0],Ke=me[tt-1][1],Fe=me[tt-2][0]-me[tt-1][0],Ue=me[tt-2][1]-me[tt-1][1]),Ze=ae||0,Je=this.markerEndAngle}Te=Math.atan2(Ue,Fe),Ae.setLocalEulerAngles(Te*180/Math.PI+Je),Ae.setLocalPosition(je+Math.cos(Te)*Ze,Ke+Math.sin(Te)*Ze)}}},{key:"placeMarkerMid",value:function(x){var b=this.parsedStyle.points,z=b||{},ee=z.points;if(this.markerMidList.forEach(function(me){me.remove()}),this.markerMidList=[],x&&Os(x)&&ee)for(var re=1;re<(this.parsedStyle.isClosed?ee.length:ee.length-1);re++){var ae=ee[re][0],se=ee[re][1],fe=re===1?x:x.cloneNode(!0);this.markerMidList.push(fe),this.appendChild(fe),fe.setLocalPosition(ae,se)}}}])}(ul);cg.PARSED_STYLE_LIST=new Set([].concat((0,la.Z)(ul.PARSED_STYLE_LIST),["points","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isClosed","isBillboard","isSizeAttenuation"]));var yN=["style"],Um=function(E){function a(){var y=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},x=y.style,b=(0,eg.Z)(y,yN);return(0,Ar.Z)(this,a),Tr(this,a,[(0,Cr.Z)({type:ua.POLYLINE,style:x,initialParsedStyle:{points:{points:[],totalLength:0,segments:[]},miterLimit:4,isClosed:!1}},b)])}return(0,fa.Z)(a,E),(0,$n.Z)(a,[{key:"getTotalLength",value:function(){return sB(this)}},{key:"getPointAtLength",value:function(x){var b=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;return this.getPoint(x/this.getTotalLength(),b)}},{key:"getPoint",value:function(x){var b=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,z=this.parsedStyle.points.points;if(this.parsedStyle.points.segments.length===0){var ee=[],re=0,ae,se,fe=this.getTotalLength();z.forEach(function(Ke,Ze){z[Ze+1]&&(ae=[0,0],ae[0]=re/fe,se=iC(Ke[0],Ke[1],z[Ze+1][0],z[Ze+1][1]),re+=se,ae[1]=re/fe,ee.push(ae))}),this.parsedStyle.points.segments=ee}var me=0,Ae=0;this.parsedStyle.points.segments.forEach(function(Ke,Ze){x>=Ke[0]&&x<=Ke[1]&&(me=(x-Ke[0])/(Ke[1]-Ke[0]),Ae=Ze)});var Te=$d(z[Ae][0],z[Ae][1],z[Ae+1][0],z[Ae+1][1],me),Fe=Te.x,Ue=Te.y,je=ll(ni(),qi(Fe,Ue,0),b?this.getWorldTransform():this.getLocalTransform());return new Mu(je[0],je[1])}},{key:"getStartTangent",value:function(){var x=this.parsedStyle.points.points,b=[];return b.push([x[1][0],x[1][1]]),b.push([x[0][0],x[0][1]]),b}},{key:"getEndTangent",value:function(){var x=this.parsedStyle.points.points,b=x.length-1,z=[];return z.push([x[b-1][0],x[b-1][1]]),z.push([x[b][0],x[b][1]]),z}}])}(cg);Um.PARSED_STYLE_LIST=new Set([].concat((0,la.Z)(cg.PARSED_STYLE_LIST),["points","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isBillboard"]));var Du=function(E){function a(){var y=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};return(0,Ar.Z)(this,a),Tr(this,a,[(0,Cr.Z)({type:ua.RECT},y)])}return(0,fa.Z)(a,E),(0,$n.Z)(a)}(ul);Du.PARSED_STYLE_LIST=new Set([].concat((0,la.Z)(ul.PARSED_STYLE_LIST),["x","y","z","width","height","isBillboard","isSizeAttenuation","radius"]));var EN=["style"],dg=function(E){function a(){var y=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},x=y.style,b=(0,eg.Z)(y,EN);return(0,Ar.Z)(this,a),Tr(this,a,[(0,Cr.Z)({type:ua.TEXT,style:(0,Cr.Z)({fill:"black"},x)},b)])}return(0,fa.Z)(a,E),(0,$n.Z)(a,[{key:"getComputedTextLength",value:function(){var x;return this.getGeometryBounds(),((x=this.parsedStyle.metrics)===null||x===void 0?void 0:x.maxLineWidth)||0}},{key:"getLineBoundingRects",value:function(){var x;return this.getGeometryBounds(),((x=this.parsedStyle.metrics)===null||x===void 0?void 0:x.lineMetrics)||[]}},{key:"isOverflowing",value:function(){return this.getGeometryBounds(),!!this.parsedStyle.isOverflowing}}])}(ul);dg.PARSED_STYLE_LIST=new Set([].concat((0,la.Z)(ul.PARSED_STYLE_LIST),["x","y","z","isBillboard","billboardRotation","isSizeAttenuation","text","textAlign","textBaseline","fontStyle","fontSize","fontFamily","fontWeight","fontVariant","lineHeight","letterSpacing","leading","wordWrap","wordWrapWidth","maxLines","textOverflow","isOverflowing","textPath","textDecorationLine","textDecorationColor","textDecorationStyle","textPathSide","textPathStartOffset","metrics","dx","dy"]));var AN=function(){function E(){(0,Ar.Z)(this,E),this.registry={},this.define(ua.CIRCLE,wf),this.define(ua.ELLIPSE,rv),this.define(ua.RECT,Du),this.define(ua.IMAGE,iv),this.define(ua.LINE,ug),this.define(ua.GROUP,lu),this.define(ua.PATH,Rc),this.define(ua.POLYGON,cg),this.define(ua.POLYLINE,Um),this.define(ua.TEXT,dg),this.define(ua.HTML,av)}return(0,$n.Z)(E,[{key:"define",value:function(y,x){this.registry[y]=x}},{key:"get",value:function(y){return this.registry[y]}}])}(),EX={number:function(a){return new Js(a)},percent:function(a){return new Js(a,"%")},px:function(a){return new Js(a,"px")},em:function(a){return new Js(a,"em")},rem:function(a){return new Js(a,"rem")},deg:function(a){return new Js(a,"deg")},grad:function(a){return new Js(a,"grad")},rad:function(a){return new Js(a,"rad")},turn:function(a){return new Js(a,"turn")},s:function(a){return new Js(a,"s")},ms:function(a){return new Js(a,"ms")},registerProperty:function(a){var y=a.name,x=a.inherits,b=a.interpolable,z=a.initialValue,ee=a.syntax;Ga.styleValueRegistry.registerMetadata({n:y,inh:x,int:b,d:z,syntax:ee})},registerLayout:function(a,y){Ga.layoutRegistry.registerLayout(a,y)}},wP=function(E){function a(){var y;(0,Ar.Z)(this,a),y=Tr(this,a),y.defaultView=null,y.ownerDocument=null,y.nodeName="document";try{y.timeline=new Ga.AnimationTimeline(y)}catch(b){}var x={};return NE.forEach(function(b){var z=b.n,ee=b.inh,re=b.d;ee&&re&&(x[z]=Gi(re)?re(ua.GROUP):re)}),y.documentElement=new lu({id:"g-root",style:x}),y.documentElement.ownerDocument=y,y.documentElement.parentNode=y,y.childNodes=[y.documentElement],y}return(0,fa.Z)(a,E),(0,$n.Z)(a,[{key:"children",get:function(){return this.childNodes}},{key:"childElementCount",get:function(){return this.childNodes.length}},{key:"firstElementChild",get:function(){return this.firstChild}},{key:"lastElementChild",get:function(){return this.lastChild}},{key:"createElement",value:function(x,b){if(x==="svg")return this.documentElement;var z=this.defaultView.customElements.get(x);z||(console.warn("Unsupported tagName: ",x),z=x==="tspan"?dg:lu);var ee=new z(b);return ee.ownerDocument=this,ee}},{key:"createElementNS",value:function(x,b,z){return this.createElement(b,z)}},{key:"cloneNode",value:function(x){throw new Error(Qs)}},{key:"destroy",value:function(){try{this.documentElement.destroyChildren(),this.timeline.destroy()}catch(x){}}},{key:"elementsFromBBox",value:function(x,b,z,ee){var re=this.defaultView.context.rBushRoot,ae=re.search({minX:x,minY:b,maxX:z,maxY:ee}),se=[];return ae.forEach(function(fe){var me=fe.displayObject,Ae=me.parsedStyle.pointerEvents,Te=Ae===void 0?"auto":Ae,Fe=["auto","visiblepainted","visiblefill","visiblestroke","visible"].includes(Te);(!Fe||Fe&&me.isVisible())&&!me.isCulled()&&me.isInteractive()&&se.push(me)}),se.sort(function(fe,me){return me.sortable.renderOrder-fe.sortable.renderOrder}),se}},{key:"elementFromPointSync",value:function(x,b){var z=this.defaultView.canvas2Viewport({x,y:b}),ee=z.x,re=z.y,ae=this.defaultView.getConfig(),se=ae.width,fe=ae.height;if(ee<0||re<0||ee>se||re>fe)return null;var me=this.defaultView.viewport2Client({x:ee,y:re}),Ae=me.x,Te=me.y,Fe=this.defaultView.getRenderingService().hooks.pickSync.call({topmost:!0,position:{x,y:b,viewportX:ee,viewportY:re,clientX:Ae,clientY:Te},picked:[]}),Ue=Fe.picked;return Ue&&Ue[0]||this.documentElement}},{key:"elementFromPoint",value:function(){var y=(0,th.Z)((0,Gu.Z)().mark(function b(z,ee){var re,ae,se,fe,me,Ae,Te,Fe,Ue,je,Ke;return(0,Gu.Z)().wrap(function(Je){for(;;)switch(Je.prev=Je.next){case 0:if(re=this.defaultView.canvas2Viewport({x:z,y:ee}),ae=re.x,se=re.y,fe=this.defaultView.getConfig(),me=fe.width,Ae=fe.height,!(ae<0||se<0||ae>me||se>Ae)){Je.next=4;break}return Je.abrupt("return",null);case 4:return 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y=(0,th.Z)((0,Gu.Z)().mark(function b(z,ee){var re,ae,se,fe,me,Ae,Te,Fe,Ue,je,Ke;return(0,Gu.Z)().wrap(function(Je){for(;;)switch(Je.prev=Je.next){case 0:if(re=this.defaultView.canvas2Viewport({x:z,y:ee}),ae=re.x,se=re.y,fe=this.defaultView.getConfig(),me=fe.width,Ae=fe.height,!(ae<0||se<0||ae>me||se>Ae)){Je.next=4;break}return Je.abrupt("return",[]);case 4:return Te=this.defaultView.viewport2Client({x:ae,y:se}),Fe=Te.x,Ue=Te.y,Je.next=7,this.defaultView.getRenderingService().hooks.pick.promise({topmost:!1,position:{x:z,y:ee,viewportX:ae,viewportY:se,clientX:Fe,clientY:Ue},picked:[]});case 7:return je=Je.sent,Ke=je.picked,Ke[Ke.length-1]!==this.documentElement&&Ke.push(this.documentElement),Je.abrupt("return",Ke);case 11:case"end":return Je.stop()}},b,this)}));function x(b,z){return y.apply(this,arguments)}return x}()},{key:"appendChild",value:function(x,b){throw new Error(t0)}},{key:"insertBefore",value:function(x,b){throw new Error(t0)}},{key:"removeChild",value:function(x,b){throw new Error(t0)}},{key:"replaceChild",value:function(x,b,z){throw new Error(t0)}},{key:"append",value:function(){throw new Error(t0)}},{key:"prepend",value:function(){throw new Error(t0)}},{key:"getElementById",value:function(x){return this.documentElement.getElementById(x)}},{key:"getElementsByName",value:function(x){return this.documentElement.getElementsByName(x)}},{key:"getElementsByTagName",value:function(x){return this.documentElement.getElementsByTagName(x)}},{key:"getElementsByClassName",value:function(x){return this.documentElement.getElementsByClassName(x)}},{key:"querySelector",value:function(x){return this.documentElement.querySelector(x)}},{key:"querySelectorAll",value:function(x){return this.documentElement.querySelectorAll(x)}},{key:"find",value:function(x){return this.documentElement.find(x)}},{key:"findAll",value:function(x){return this.documentElement.findAll(x)}}])}(yl),MP=function(){function E(a){(0,Ar.Z)(this,E),this.strategies=a}return(0,$n.Z)(E,[{key:"apply",value:function(y){var x=y.camera,b=y.renderingService,z=y.renderingContext,ee=this.strategies;b.hooks.cull.tap(E.tag,function(re){if(re){var ae=re.cullable;return ee.length===0?ae.visible=z.unculledEntities.indexOf(re.entity)>-1:ae.visible=ee.every(function(se){return se.isVisible(x,re)}),!re.isCulled()&&re.isVisible()?re:(re.dispatchEvent(new $l(is.CULLED)),null)}return re}),b.hooks.afterRender.tap(E.tag,function(re){re.cullable.visibilityPlaneMask=-1})}}])}();MP.tag="Culling";var DP=function(){function E(){var a=this;(0,Ar.Z)(this,E),this.autoPreventDefault=!1,this.rootPointerEvent=new _m(null),this.rootWheelEvent=new jE(null),this.onPointerMove=function(y){var x,b=(x=a.context.renderingContext.root)===null||x===void 0||(x=x.ownerDocument)===null||x===void 0?void 0:x.defaultView;if(!(b.supportsTouchEvents&&y.pointerType==="touch")){var z=a.normalizeToPointerEvent(y,b),ee=$h(z),re;try{for(ee.s();!(re=ee.n()).done;){var ae=re.value,se=a.bootstrapEvent(a.rootPointerEvent,ae,b,y);a.context.eventService.mapEvent(se)}}catch(fe){ee.e(fe)}finally{ee.f()}a.setCursor(a.context.eventService.cursor)}},this.onClick=function(y){var x,b=(x=a.context.renderingContext.root)===null||x===void 0||(x=x.ownerDocument)===null||x===void 0?void 0:x.defaultView,z=a.normalizeToPointerEvent(y,b),ee=$h(z),re;try{for(ee.s();!(re=ee.n()).done;){var ae=re.value,se=a.bootstrapEvent(a.rootPointerEvent,ae,b,y);a.context.eventService.mapEvent(se)}}catch(fe){ee.e(fe)}finally{ee.f()}a.setCursor(a.context.eventService.cursor)}}return(0,$n.Z)(E,[{key:"apply",value:function(y){var x=this;this.context=y;var b=y.renderingService,z=this.context.renderingContext.root.ownerDocument.defaultView;this.context.eventService.setPickHandler(function(ee){var re=x.context.renderingService.hooks.pickSync.call({position:ee,picked:[],topmost:!0}),ae=re.picked;return ae[0]||null}),b.hooks.pointerWheel.tap(E.tag,function(ee){var re=x.normalizeWheelEvent(ee);x.context.eventService.mapEvent(re)}),b.hooks.pointerDown.tap(E.tag,function(ee){if(!(z.supportsTouchEvents&&ee.pointerType==="touch")){var re=x.normalizeToPointerEvent(ee,z);if(x.autoPreventDefault&&re[0].isNormalized){var ae=ee.cancelable||!("cancelable"in ee);ae&&ee.preventDefault()}var se=$h(re),fe;try{for(se.s();!(fe=se.n()).done;){var me=fe.value,Ae=x.bootstrapEvent(x.rootPointerEvent,me,z,ee);x.context.eventService.mapEvent(Ae)}}catch(Te){se.e(Te)}finally{se.f()}x.setCursor(x.context.eventService.cursor)}}),b.hooks.pointerUp.tap(E.tag,function(ee){if(!(z.supportsTouchEvents&&ee.pointerType==="touch")){var re=x.context.contextService.getDomElement(),ae=x.context.eventService.isNativeEventFromCanvas(re,ee),se=ae?"":"outside",fe=x.normalizeToPointerEvent(ee,z),me=$h(fe),Ae;try{for(me.s();!(Ae=me.n()).done;){var Te=Ae.value,Fe=x.bootstrapEvent(x.rootPointerEvent,Te,z,ee);Fe.type+=se,x.context.eventService.mapEvent(Fe)}}catch(Ue){me.e(Ue)}finally{me.f()}x.setCursor(x.context.eventService.cursor)}}),b.hooks.pointerMove.tap(E.tag,this.onPointerMove),b.hooks.pointerOver.tap(E.tag,this.onPointerMove),b.hooks.pointerOut.tap(E.tag,this.onPointerMove),b.hooks.click.tap(E.tag,this.onClick),b.hooks.pointerCancel.tap(E.tag,function(ee){var re=x.normalizeToPointerEvent(ee,z),ae=$h(re),se;try{for(ae.s();!(se=ae.n()).done;){var fe=se.value,me=x.bootstrapEvent(x.rootPointerEvent,fe,z,ee);x.context.eventService.mapEvent(me)}}catch(Ae){ae.e(Ae)}finally{ae.f()}x.setCursor(x.context.eventService.cursor)})}},{key:"bootstrapEvent",value:function(y,x,b,z){y.view=b,y.originalEvent=null,y.nativeEvent=z,y.pointerId=x.pointerId,y.width=x.width,y.height=x.height,y.isPrimary=x.isPrimary,y.pointerType=x.pointerType,y.pressure=x.pressure,y.tangentialPressure=x.tangentialPressure,y.tiltX=x.tiltX,y.tiltY=x.tiltY,y.twist=x.twist,this.transferMouseData(y,x);var ee=this.context.eventService.client2Viewport({x:x.clientX,y:x.clientY}),re=ee.x,ae=ee.y;y.viewport.x=re,y.viewport.y=ae;var se=this.context.eventService.viewport2Canvas(y.viewport),fe=se.x,me=se.y;return y.canvas.x=fe,y.canvas.y=me,y.global.copyFrom(y.canvas),y.offset.copyFrom(y.canvas),y.isTrusted=z.isTrusted,y.type==="pointerleave"&&(y.type="pointerout"),y.type.startsWith("mouse")&&(y.type=y.type.replace("mouse","pointer")),y.type.startsWith("touch")&&(y.type=a6[y.type]||y.type),y}},{key:"normalizeWheelEvent",value:function(y){var x=this.rootWheelEvent;this.transferMouseData(x,y),x.deltaMode=y.deltaMode,x.deltaX=y.deltaX,x.deltaY=y.deltaY,x.deltaZ=y.deltaZ;var b=this.context.eventService.client2Viewport({x:y.clientX,y:y.clientY}),z=b.x,ee=b.y;x.viewport.x=z,x.viewport.y=ee;var re=this.context.eventService.viewport2Canvas(x.viewport),ae=re.x,se=re.y;return x.canvas.x=ae,x.canvas.y=se,x.global.copyFrom(x.canvas),x.offset.copyFrom(x.canvas),x.nativeEvent=y,x.type=y.type,x}},{key:"transferMouseData",value:function(y,x){y.isTrusted=x.isTrusted,y.srcElement=x.srcElement,y.timeStamp=kE.now(),y.type=x.type,y.altKey=x.altKey,y.metaKey=x.metaKey,y.shiftKey=x.shiftKey,y.ctrlKey=x.ctrlKey,y.button=x.button,y.buttons=x.buttons,y.client.x=x.clientX,y.client.y=x.clientY,y.movement.x=x.movementX,y.movement.y=x.movementY,y.page.x=x.pageX,y.page.y=x.pageY,y.screen.x=x.screenX,y.screen.y=x.screenY,y.relatedTarget=null}},{key:"setCursor",value:function(y){this.context.contextService.applyCursorStyle(y||this.context.config.cursor||"default")}},{key:"normalizeToPointerEvent",value:function(y,x){var b=[];if(x.isTouchEvent(y))for(var z=0;z-1,ae=0,se=z.length;ae1&&arguments[1]!==void 0?arguments[1]:!1;if(y.isConnected){var b=y.rBushNode;b.aabb&&this.rBush.remove(b.aabb);var z=y.getRenderBounds();if(z){var ee=y.renderable;x&&(ee.dirtyRenderBounds||(ee.dirtyRenderBounds=new il),ee.dirtyRenderBounds.update(z.center,z.halfExtents));var re=z.getMin(),ae=(0,Wn.Z)(re,2),se=ae[0],fe=ae[1],me=z.getMax(),Ae=(0,Wn.Z)(me,2),Te=Ae[0],Fe=Ae[1];b.aabb||(b.aabb={}),b.aabb.displayObject=y,b.aabb.minX=se,b.aabb.minY=fe,b.aabb.maxX=Te,b.aabb.maxY=Fe}if(b.aabb&&!isNaN(b.aabb.maxX)&&!isNaN(b.aabb.maxX)&&!isNaN(b.aabb.minX)&&!isNaN(b.aabb.minY))return b.aabb}}},{key:"syncRTree",value:function(){var y=this,x=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!1;if(!(!x&&(this.syncing||this.syncTasks.size===0))){this.syncing=!0;var b=[],z=new Set,ee=function(ae){if(!z.has(ae)&&ae.renderable){var se=y.syncNode(ae,x);se&&(b.push(se),z.add(ae))}};this.syncTasks.forEach(function(re,ae){re&&ae.forEach(ee);for(var se=ae;se;)ee(se),se=se.parentElement}),this.rBush.load(b),b.length=0,this.syncing=!1}}}])}();IP.tag="Prepare";function AX(E){return!!E.document}var _c=function(E){return E.READY="ready",E.BEFORE_RENDER="beforerender",E.RERENDER="rerender",E.AFTER_RENDER="afterrender",E.BEFORE_DESTROY="beforedestroy",E.AFTER_DESTROY="afterdestroy",E.RESIZE="resize",E.DIRTY_RECTANGLE="dirtyrectangle",E.RENDERER_CHANGED="rendererchanged",E}({}),LP=500,bN=.1,CN=1e3,Wm=new $l(is.MOUNTED),jm=new $l(is.UNMOUNTED),QE=new $l(_c.BEFORE_RENDER),OP=new $l(_c.RERENDER),YE=new $l(_c.AFTER_RENDER),XE=function(E){function a(y){var x;(0,Ar.Z)(this,a),x=Tr(this,a),x.Element=ul,x.inited=!1,x.context={};var b=y.container,z=y.canvas,ee=y.renderer,re=y.width,ae=y.height,se=y.background,fe=y.cursor,me=y.supportsMutipleCanvasesInOneContainer,Ae=y.cleanUpOnDestroy,Te=Ae===void 0?!0:Ae,Fe=y.offscreenCanvas,Ue=y.devicePixelRatio,je=y.requestAnimationFrame,Ke=y.cancelAnimationFrame,Ze=y.createImage,Je=y.supportsTouchEvents,tt=y.supportsPointerEvents,at=y.isTouchEvent,st=y.isMouseEvent,ft=y.dblClickSpeed,lt=re,wt=ae,Bt=Ue||FE&&window.devicePixelRatio||1;return Bt=Bt>=1?Math.ceil(Bt):1,z&&(lt=re||t6(z)||z.width/Bt,wt=ae||n6(z)||z.height/Bt),x.customElements=new AN,x.devicePixelRatio=Bt,x.requestAnimationFrame=je!=null?je:zE.bind(Ga.globalThis),x.cancelAnimationFrame=Ke!=null?Ke:gP.bind(Ga.globalThis),x.supportsTouchEvents=Je!=null?Je:"ontouchstart"in Ga.globalThis,x.supportsPointerEvents=tt!=null?tt:!!Ga.globalThis.PointerEvent,x.isTouchEvent=at!=null?at:function(Vt){return x.supportsTouchEvents&&Vt instanceof Ga.globalThis.TouchEvent},x.isMouseEvent=st!=null?st:function(Vt){return!Ga.globalThis.MouseEvent||Vt instanceof Ga.globalThis.MouseEvent&&(!x.supportsPointerEvents||!(Vt instanceof Ga.globalThis.PointerEvent))},Fe&&(Ga.offscreenCanvas=Fe),x.document=new wP,x.document.defaultView=x,me||JB(b,x,Te),x.initRenderingContext((0,Cr.Z)((0,Cr.Z)({},y),{},{width:lt,height:wt,background:se!=null?se:"transparent",cursor:fe!=null?fe:"default",cleanUpOnDestroy:Te,devicePixelRatio:Bt,requestAnimationFrame:x.requestAnimationFrame,cancelAnimationFrame:x.cancelAnimationFrame,supportsTouchEvents:x.supportsTouchEvents,supportsPointerEvents:x.supportsPointerEvents,isTouchEvent:x.isTouchEvent,isMouseEvent:x.isMouseEvent,dblClickSpeed:ft!=null?ft:200,createImage:Ze!=null?Ze:function(){return new window.Image}})),x.initDefaultCamera(lt,wt,ee.clipSpaceNearZ),x.initRenderer(ee,!0),x}return(0,fa.Z)(a,E),(0,$n.Z)(a,[{key:"initRenderingContext",value:function(x){this.context.config=x,this.context.renderingContext={root:this.document.documentElement,renderListCurrentFrame:[],unculledEntities:[],renderReasons:new Set,force:!1,dirty:!1}}},{key:"initDefaultCamera",value:function(x,b,z){var ee=this,re=new Ga.CameraContribution;re.clipSpaceNearZ=z,re.setType(Xs.EXPLORING,yE.DEFAULT).setPosition(x/2,b/2,LP).setFocalPoint(x/2,b/2,0).setOrthographic(x/-2,x/2,b/2,b/-2,bN,CN),re.canvas=this,re.eventEmitter.on(AC.UPDATED,function(){ee.context.renderingContext.renderReasons.add(o0.CAMERA_CHANGED),Ga.enableSizeAttenuation&&ee.getConfig().renderer.getConfig().enableSizeAttenuation&&ee.updateSizeAttenuation()}),this.context.camera=re}},{key:"updateSizeAttenuation",value:function(){var x=this.getCamera().getZoom();this.document.documentElement.forEach(function(b){Ga.styleValueRegistry.updateSizeAttenuation(b,x)})}},{key:"getConfig",value:function(){return this.context.config}},{key:"getRoot",value:function(){return this.document.documentElement}},{key:"getCamera",value:function(){return this.context.camera}},{key:"getContextService",value:function(){return this.context.contextService}},{key:"getEventService",value:function(){return this.context.eventService}},{key:"getRenderingService",value:function(){return this.context.renderingService}},{key:"getRenderingContext",value:function(){return this.context.renderingContext}},{key:"getStats",value:function(){return this.getRenderingService().getStats()}},{key:"ready",get:function(){var x=this;return this.readyPromise||(this.readyPromise=new Promise(function(b){x.resolveReadyPromise=function(){b(x)}}),this.inited&&this.resolveReadyPromise()),this.readyPromise}},{key:"destroy",value:function(){var x=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!0,b=arguments.length>1?arguments[1]:void 0;ql.clearCache(),b||this.dispatchEvent(new $l(_c.BEFORE_DESTROY)),this.frameId&&this.cancelAnimationFrame(this.frameId);var z=this.getRoot();x&&(this.unmountChildren(z),this.document.destroy(),this.getEventService().destroy()),this.getRenderingService().destroy(),this.getContextService().destroy(),this.context.rBushRoot&&this.context.rBushRoot.clear(),b||this.dispatchEvent(new $l(_c.AFTER_DESTROY));var ee=function(ae){ae.currentTarget=null,ae.manager=null,ae.target=null,ae.relatedNode=null};ee(Wm),ee(jm),ee(QE),ee(OP),ee(YE),ee(af),ee(HE),ee(KE),ee(PP)}},{key:"changeSize",value:function(x,b){this.resize(x,b)}},{key:"resize",value:function(x,b){var z=this.context.config;z.width=x,z.height=b,this.getContextService().resize(x,b);var ee=this.context.camera,re=ee.getProjectionMode();ee.setPosition(x/2,b/2,LP).setFocalPoint(x/2,b/2,0),re===rd.ORTHOGRAPHIC?ee.setOrthographic(x/-2,x/2,b/2,b/-2,ee.getNear(),ee.getFar()):ee.setAspect(x/b),this.dispatchEvent(new $l(_c.RESIZE,{width:x,height:b}))}},{key:"appendChild",value:function(x,b){return this.document.documentElement.appendChild(x,b)}},{key:"insertBefore",value:function(x,b){return this.document.documentElement.insertBefore(x,b)}},{key:"removeChild",value:function(x){return this.document.documentElement.removeChild(x)}},{key:"removeChildren",value:function(){this.document.documentElement.removeChildren()}},{key:"destroyChildren",value:function(){this.document.documentElement.destroyChildren()}},{key:"render",value:function(x){var b=this;x&&(QE.detail=x,YE.detail=x),this.dispatchEvent(QE);var z=this.getRenderingService();z.render(this.getConfig(),x,function(){b.dispatchEvent(OP)}),this.dispatchEvent(YE)}},{key:"run",value:function(){var x=this,b=function(ee,re){x.render(re),x.frameId=x.requestAnimationFrame(b)};b()}},{key:"initRenderer",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;if(!x)throw new Error("Renderer is required.");this.inited=!1,this.readyPromise=void 0,this.context.rBushRoot=new QO,this.context.renderingPlugins=[],this.context.renderingPlugins.push(new DP,new IP,new MP([new SN])),this.loadRendererContainerModule(x),this.context.contextService=new this.context.ContextService((0,Cr.Z)((0,Cr.Z)({},Ga),this.context)),this.context.renderingService=new F6(Ga,this.context),this.context.eventService=new _6(Ga,this.context),this.context.eventService.init(),this.context.contextService.init?(this.context.contextService.init(),this.initRenderingService(x,z,!0)):this.context.contextService.initAsync().then(function(){b.initRenderingService(x,z)}).catch(function(ee){console.error(ee)})}},{key:"initRenderingService",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,ee=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!1;this.context.renderingService.init(function(){b.inited=!0,z?ee?b.requestAnimationFrame(function(){b.dispatchEvent(new $l(_c.READY))}):b.dispatchEvent(new $l(_c.READY)):b.dispatchEvent(new $l(_c.RENDERER_CHANGED)),b.readyPromise&&b.resolveReadyPromise(),z||b.getRoot().forEach(function(re){var ae=re,se=ae.renderable;se&&(se.renderBoundsDirty=!0,se.boundsDirty=!0,se.dirty=!0)}),b.mountChildren(b.getRoot()),x.getConfig().enableAutoRendering&&b.run()})}},{key:"loadRendererContainerModule",value:function(x){var b=this,z=x.getPlugins();z.forEach(function(ee){ee.context=b.context,ee.init(Ga)})}},{key:"setRenderer",value:function(x){var b=this.getConfig();if(b.renderer!==x){var z=b.renderer;b.renderer=x,this.destroy(!1,!0),(0,la.Z)((z==null?void 0:z.getPlugins())||[]).reverse().forEach(function(ee){ee.destroy(Ga)}),this.initRenderer(x)}}},{key:"setCursor",value:function(x){var b=this.getConfig();b.cursor=x,this.getContextService().applyCursorStyle(x)}},{key:"unmountChildren",value:function(x){var b=this;x.childNodes.forEach(function(z){b.unmountChildren(z)}),this.inited&&(x.isMutationObserved?x.dispatchEvent(jm):(jm.target=x,this.dispatchEvent(jm,!0)),x!==this.document.documentElement&&(x.ownerDocument=null),x.isConnected=!1),x.isCustomElement&&x.disconnectedCallback&&x.disconnectedCallback()}},{key:"mountChildren",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:Nm(x);this.inited?x.isConnected||(x.ownerDocument=this.document,x.isConnected=!0,z||(x.isMutationObserved?x.dispatchEvent(Wm):(Wm.target=x,this.dispatchEvent(Wm,!0)))):console.warn("[g]: You are trying to call `canvas.appendChild` before canvas' initialization finished. You can either await `canvas.ready` or listen to `CanvasEvent.READY` manually.","appended child: ",x.nodeName),x.childNodes.forEach(function(ee){b.mountChildren(ee,z)}),x.isCustomElement&&x.connectedCallback&&x.connectedCallback()}},{key:"mountFragment",value:function(x){this.mountChildren(x,!1)}},{key:"client2Viewport",value:function(x){return this.getEventService().client2Viewport(x)}},{key:"viewport2Client",value:function(x){return this.getEventService().viewport2Client(x)}},{key:"viewport2Canvas",value:function(x){return this.getEventService().viewport2Canvas(x)}},{key:"canvas2Viewport",value:function(x){return this.getEventService().canvas2Viewport(x)}},{key:"getPointByClient",value:function(x,b){return this.client2Viewport({x,y:b})}},{key:"getClientByPoint",value:function(x,b){return this.viewport2Client({x,y:b})}}])}(EP);var PN=function(E){function a(){var y;(0,Ar.Z)(this,a);for(var x=arguments.length,b=new Array(x),z=0;z90)return this;this.computeMatrix()}return this._getAxes(),this.type===Xs.ORBITING||this.type===Xs.EXPLORING?this._getPosition():this.type===Xs.TRACKING&&this._getFocalPoint(),this._update(),this}},{key:"pan",value:function(x,b){var z=ec(x,b,0),ee=ao(this.position);return fs(ee,ee,us(ni(),this.right,z[0])),fs(ee,ee,us(ni(),this.up,z[1])),this._setPosition(ee),this.triggerUpdate(),this}},{key:"dolly",value:function(x){var b=this.forward,z=ao(this.position),ee=x*this.dollyingStep,re=this.distance+x*this.dollyingStep;return ee=Math.max(Math.min(re,this.maxDistance),this.minDistance)-this.distance,z[0]+=ee*b[0],z[1]+=ee*b[1],z[2]+=ee*b[2],this._setPosition(z),this.type===Xs.ORBITING||this.type===Xs.EXPLORING?this._getDistance():this.type===Xs.TRACKING&&fs(this.focalPoint,z,this.distanceVector),this.triggerUpdate(),this}},{key:"cancelLandmarkAnimation",value:function(){this.landmarkAnimationID!==void 0&&this.canvas.cancelAnimationFrame(this.landmarkAnimationID)}},{key:"createLandmark",value:function(x){var b,z,ee,re,ae=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},se=ae.position,fe=se===void 0?this.position:se,me=ae.focalPoint,Ae=me===void 0?this.focalPoint:me,Te=ae.roll,Fe=ae.zoom,Ue=new Ga.CameraContribution;Ue.setType(this.type,void 0),Ue.setPosition(fe[0],(b=fe[1])!==null&&b!==void 0?b:this.position[1],(z=fe[2])!==null&&z!==void 0?z:this.position[2]),Ue.setFocalPoint(Ae[0],(ee=Ae[1])!==null&&ee!==void 0?ee:this.focalPoint[1],(re=Ae[2])!==null&&re!==void 0?re:this.focalPoint[2]),Ue.setRoll(Te!=null?Te:this.roll),Ue.setZoom(Fe!=null?Fe:this.zoom);var je={name:x,matrix:ys(Ue.getWorldTransform()),right:ao(Ue.right),up:ao(Ue.up),forward:ao(Ue.forward),position:ao(Ue.getPosition()),focalPoint:ao(Ue.getFocalPoint()),distanceVector:ao(Ue.getDistanceVector()),distance:Ue.getDistance(),dollyingStep:Ue.getDollyingStep(),azimuth:Ue.getAzimuth(),elevation:Ue.getElevation(),roll:Ue.getRoll(),relAzimuth:Ue.relAzimuth,relElevation:Ue.relElevation,relRoll:Ue.relRoll,zoom:Ue.getZoom()};return this.landmarks.push(je),je}},{key:"gotoLandmark",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},ee=Ls(x)?this.landmarks.find(function(Vt){return Vt.name===x}):x;if(ee){var re=Oi(z)?{duration:z}:z,ae=re.easing,se=ae===void 0?"linear":ae,fe=re.duration,me=fe===void 0?100:fe,Ae=re.easingFunction,Te=Ae===void 0?void 0:Ae,Fe=re.onfinish,Ue=Fe===void 0?void 0:Fe,je=re.onframe,Ke=je===void 0?void 0:je,Ze=.01;this.cancelLandmarkAnimation();var Je=ee.position,tt=ee.focalPoint,at=ee.zoom,st=ee.roll,ft=Te||Ga.EasingFunction(se),lt,wt=function(){b.setFocalPoint(tt),b.setPosition(Je),b.setRoll(st),b.setZoom(at),b.computeMatrix(),b.triggerUpdate(),Ue==null||Ue()};if(me===0)return wt();var Bt=function(Xt){lt===void 0&&(lt=Xt);var vn=Xt-lt;if(vn>=me){wt();return}var on=ft(vn/me),wn=ni(),qn=ni(),yn=1,En=0;zh(wn,b.focalPoint,tt,on),zh(qn,b.position,Je,on),En=b.roll*(1-on)+st*on,yn=b.zoom*(1-on)+at*on,b.setFocalPoint(wn),b.setPosition(qn),b.setRoll(En),b.setZoom(yn);var Pn=xf(wn,tt)+xf(qn,Je);if(Pn<=Ze&&at===void 0&&st===void 0)return wt();b.computeMatrix(),b.triggerUpdate(),vn0&&Number(this._currentTime)>=this._totalDuration||this._playbackRate<0&&Number(this._currentTime)<=0)}},{key:"totalDuration",get:function(){return this._totalDuration}},{key:"_needsTick",get:function(){return this.pending||this.playState==="running"||!this._finishedFlag}},{key:"updatePromises",value:function(){var y=this.oldPlayState,x=this.pending?"pending":this.playState;return this.readyPromise&&x!==y&&(x==="idle"?(this.rejectReadyPromise(),this.readyPromise=void 0):y==="pending"?this.resolveReadyPromise():x==="pending"&&(this.readyPromise=void 0)),this.finishedPromise&&x!==y&&(x==="idle"?(this.rejectFinishedPromise(),this.finishedPromise=void 0):x==="finished"?this.resolveFinishedPromise():y==="finished"&&(this.finishedPromise=void 0)),this.oldPlayState=x,this.readyPromise||this.finishedPromise}},{key:"play",value:function(){this.updatePromises(),this._paused=!1,(this._isFinished||this._idle)&&(this.rewind(),this._startTime=null),this._finishedFlag=!1,this._idle=!1,this.ensureAlive(),this.timeline.applyDirtiedAnimation(this),this.timeline.animations.indexOf(this)===-1&&this.timeline.animations.push(this),this.updatePromises()}},{key:"pause",value:function(){this.updatePromises(),this.currentTime&&(this._holdTime=this.currentTime),!this._isFinished&&!this._paused&&!this._idle?this.currentTimePending=!0:this._idle&&(this.rewind(),this._idle=!1),this._startTime=null,this._paused=!0,this.updatePromises()}},{key:"finish",value:function(){this.updatePromises(),!this._idle&&(this.currentTime=this._playbackRate>0?this._totalDuration:0,this._startTime=this._totalDuration-this.currentTime,this.currentTimePending=!1,this.timeline.applyDirtiedAnimation(this),this.updatePromises())}},{key:"cancel",value:function(){var y=this;if(this.updatePromises(),!!this._inEffect&&(this._inEffect=!1,this._idle=!0,this._paused=!1,this._finishedFlag=!0,this._currentTime=0,this._startTime=null,this.effect.update(null),this.timeline.applyDirtiedAnimation(this),this.updatePromises(),this.oncancel)){var x=new eA(null,this,this.currentTime,null);setTimeout(function(){y.oncancel(x)})}}},{key:"reverse",value:function(){this.updatePromises();var y=this.currentTime;this.playbackRate*=-1,this.play(),y!==null&&(this.currentTime=y),this.updatePromises()}},{key:"updatePlaybackRate",value:function(y){this.playbackRate=y}},{key:"targetAnimations",value:function(){var y,x=(y=this.effect)===null||y===void 0?void 0:y.target;return x.getAnimations()}},{key:"markTarget",value:function(){var y=this.targetAnimations();y.indexOf(this)===-1&&y.push(this)}},{key:"unmarkTarget",value:function(){var y=this.targetAnimations(),x=y.indexOf(this);x!==-1&&y.splice(x,1)}},{key:"tick",value:function(y,x){!this._idle&&!this._paused&&(this._startTime===null?x&&(this.startTime=y-this._currentTime/this.playbackRate):this._isFinished||this.tickCurrentTime((y-this._startTime)*this.playbackRate)),x&&(this.currentTimePending=!1,this.fireEvents(y))}},{key:"rewind",value:function(){if(this.playbackRate>=0)this.currentTime=0;else if(this._totalDuration<1/0)this.currentTime=this._totalDuration;else throw new Error("Unable to rewind negative playback rate animation with infinite duration")}},{key:"persist",value:function(){throw new Error(Qs)}},{key:"addEventListener",value:function(y,x,b){throw new Error(Qs)}},{key:"removeEventListener",value:function(y,x,b){throw new Error(Qs)}},{key:"dispatchEvent",value:function(y){throw new Error(Qs)}},{key:"commitStyles",value:function(){throw new Error(Qs)}},{key:"ensureAlive",value:function(){if(this.playbackRate<0&&this.currentTime===0){var 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fh(E,a,y,x=!1){if(Vl(E,a))return E;const b=x?qs(E,a):qs(a,E),z=Of(b),ee=[z[0]*y,z[1]*y];return ko(mg(E),ee)}function X2(E,a){return E[1]===a[1]}function L_(E,a){return E[0]===a[0]}function O_(E,a){return X2(E,a)||L_(E,a)}function J2(E,a,y){return Z2([E,a],[a,y])}function q2(E,a){return[2*a[0]-E[0],2*a[1]-E[1]]}function $2(E,a,y,x=!0,b=!1){for(let z=0;zz!=Te>z&&b<(Ae-fe)*(z-me)/(Te-me)+fe&&(ee=!ee)}return ee}function B_(E,a,y=!1){const x=Tf(a,"center"),b=[Tf(a,"left-top"),Tf(a,"right-top"),Tf(a,"right-bottom"),Tf(a,"left-bottom")];return $2(E,x,b,!1,y).point}function Pp(E,a,y=!1){const x=a.center,b=y?q2(E,x):E,z=qs(b,a.center),ee=Math.atan2(z[1],z[0]);if(isNaN(ee))return x;const re=sf(a)/2,ae=lf(a)/2,se=x[0]+re*Math.cos(ee),fe=x[1]+ae*Math.sin(ee);return[se,fe]}function N_(E,a){let y=1/0,x=[E[0],a[0]];return E.forEach(b=>{a.forEach(z=>{const ee=cl(b,z);ee{const z=__(E,b);z1?fe=1:fe<0&&(fe=0);const me=y+fe*ae,Ae=x+fe*se;return[me,Ae]}function F_(E){const a=E.reduce((y,x)=>ko(y,x),[0,0]);return Nd(a,E.length)}function DA(E,a=!0){const y=F_(E);return E.sort(([x,b],[z,ee])=>{const re=Math.atan2(b-y[1],x-y[0]),ae=Math.atan2(ee-y[1],z-y[0]);return a?ae-re:re-ae})}function tw(E,a){return[E,[E[0],a[1]],a,[a[0],E[1]]]}class Hl{constructor(a,y,x){if(this.phase=y,this.pointerByTouch=[],this.initialDistance=null,this.emitter=a,Hl.instance)return Hl.callbacks[this.phase].push(x),Hl.instance;this.onPointerDown=this.onPointerDown.bind(this),this.onPointerMove=this.onPointerMove.bind(this),this.onPointerUp=this.onPointerUp.bind(this),this.bindEvents(),Hl.instance=this,Hl.callbacks[this.phase].push(x)}bindEvents(){const{emitter:a}=this;a.on(va.POINTER_DOWN,this.onPointerDown),a.on(va.POINTER_MOVE,this.onPointerMove),a.on(va.POINTER_UP,this.onPointerUp)}updatePointerPosition(a,y,x){const b=this.pointerByTouch.findIndex(z=>z.pointerId===a);b>=0&&(this.pointerByTouch[b]={x:y,y:x,pointerId:a})}onPointerDown(a){const{x:y,y:x}=a.client||{};if(!(y===void 0||x===void 0)&&(this.pointerByTouch.push({x:y,y:x,pointerId:a.pointerId}),a.pointerType==="touch"&&this.pointerByTouch.length===2)){Hl.isPinching=!0;const b=this.pointerByTouch[0].x-this.pointerByTouch[1].x,z=this.pointerByTouch[0].y-this.pointerByTouch[1].y;this.initialDistance=Math.sqrt(b*b+z*z),Hl.callbacks.pinchstart.forEach(ee=>ee(a,{scale:0}))}}onPointerMove(a){if(this.pointerByTouch.length!==2||this.initialDistance===null)return;const{x:y,y:x}=a.client||{};if(y===void 0||x===void 0)return;this.updatePointerPosition(a.pointerId,y,x);const b=this.pointerByTouch[0].x-this.pointerByTouch[1].x,z=this.pointerByTouch[0].y-this.pointerByTouch[1].y,re=Math.sqrt(b*b+z*z)/this.initialDistance;Hl.callbacks.pinchmove.forEach(ae=>ae(a,{scale:(re-1)*5}))}onPointerUp(a){var y;Hl.callbacks.pinchend.forEach(x=>x(a,{scale:0})),Hl.isPinching=!1,this.initialDistance=null,this.pointerByTouch=[],(y=Hl.instance)===null||y===void 0||y.tryDestroy()}destroy(){this.emitter.off(va.POINTER_DOWN,this.onPointerDown),this.emitter.off(va.POINTER_MOVE,this.onPointerMove),this.emitter.off(va.POINTER_UP,this.onPointerUp),Hl.instance=null}off(a,y){const x=Hl.callbacks[a].indexOf(y);x>-1&&Hl.callbacks[a].splice(x,1),this.tryDestroy()}tryDestroy(){Object.values(Hl.callbacks).every(a=>a.length===0)&&this.destroy()}}Hl.isPinching=!1,Hl.instance=null,Hl.callbacks={pinchstart:[],pinchmove:[],pinchend:[]};const nw=E=>E.map(a=>Ls(a)?a.toLocaleLowerCase():a);class f0{constructor(a){this.map=new Map,this.boundHandlePinch=()=>{},this.recordKey=new Set,this.onKeyDown=y=>{y!=null&&y.key&&(this.recordKey.add(y.key),this.trigger(y))},this.onKeyUp=y=>{y!=null&&y.key&&this.recordKey.delete(y.key)},this.onWheel=y=>{this.triggerExtendKey(va.WHEEL,y)},this.onDrag=y=>{this.triggerExtendKey(va.DRAG,y)},this.handlePinch=(y,x)=>{this.triggerExtendKey(va.PINCH,Object.assign(Object.assign({},y),x))},this.onFocus=()=>{this.recordKey.clear()},this.emitter=a,this.bindEvents()}bind(a,y){a.length!==0&&(a.includes(va.PINCH)&&!this.pinchHandler&&(this.boundHandlePinch=this.handlePinch.bind(this),this.pinchHandler=new Hl(this.emitter,"pinchmove",this.boundHandlePinch)),this.map.set(a,y))}unbind(a,y){this.map.forEach((x,b)=>{Vl(b,a)&&(!y||y===x)&&this.map.delete(b)})}unbindAll(){this.map.clear()}match(a){const y=nw(Array.from(this.recordKey)).sort(),x=nw(a).sort();return Vl(y,x)}bindEvents(){var a;const{emitter:y}=this;y.on(va.KEY_DOWN,this.onKeyDown),y.on(va.KEY_UP,this.onKeyUp),y.on(va.WHEEL,this.onWheel),y.on(va.DRAG,this.onDrag),(a=globalThis.addEventListener)===null||a===void 0||a.call(globalThis,"focus",this.onFocus)}trigger(a){this.map.forEach((y,x)=>{this.match(x)&&y(a)})}triggerExtendKey(a,y){this.map.forEach((x,b)=>{b.includes(a)&&Vl(Array.from(this.recordKey),b.filter(z=>z!==a))&&x(y)})}destroy(){var a,y;this.unbindAll(),this.emitter.off(va.KEY_DOWN,this.onKeyDown),this.emitter.off(va.KEY_UP,this.onKeyUp),this.emitter.off(va.WHEEL,this.onWheel),this.emitter.off(va.DRAG,this.onDrag),(a=this.pinchHandler)===null||a===void 0||a.off("pinchmove",this.boundHandlePinch),(y=globalThis.removeEventListener)===null||y===void 0||y.call(globalThis,"blur",this.onFocus)}}class pv extends kc{constructor(a,y){super(a,nc({},pv.defaultOptions,y)),this.shortcut=new f0(a.graph),this.onPointerDown=this.onPointerDown.bind(this),this.onPointerMove=this.onPointerMove.bind(this),this.onPointerUp=this.onPointerUp.bind(this),this.clearStates=this.clearStates.bind(this),this.bindEvents()}onPointerDown(a){if(!this.validate(a)||!this.isKeydown()||this.startPoint)return;const{canvas:y,graph:x}=this.context,b=Object.assign({},this.options.style);this.options.style.lineWidth&&(b.lineWidth=+this.options.style.lineWidth/x.getZoom()),this.rectShape=new Du({id:"g6-brush-select",style:b}),y.appendChild(this.rectShape),this.startPoint=[a.canvas.x,a.canvas.y]}onPointerMove(a){var y;if(!this.startPoint)return;const{immediately:x,mode:b}=this.options;this.endPoint=wp(a),(y=this.rectShape)===null||y===void 0||y.attr({x:Math.min(this.endPoint[0],this.startPoint[0]),y:Math.min(this.endPoint[1],this.startPoint[1]),width:Math.abs(this.endPoint[0]-this.startPoint[0]),height:Math.abs(this.endPoint[1]-this.startPoint[1])}),x&&b==="default"&&this.updateElementsStates(tw(this.startPoint,this.endPoint))}onPointerUp(a){if(this.startPoint){if(!this.endPoint){this.clearBrush();return}this.endPoint=wp(a),this.updateElementsStates(tw(this.startPoint,this.endPoint)),this.clearBrush()}}clearStates(){this.endPoint||this.clearElementsStates()}clearElementsStates(){const{graph:a}=this.context,y=Object.values(a.getData()).reduce((x,b)=>Object.assign({},x,b.reduce((z,ee)=>(z[_r(ee)]=[],z),{})),{});a.setElementState(y,this.options.animation)}updateElementsStates(a){const{graph:y}=this.context,{enableElements:x,state:b,mode:z,onSelect:ee}=this.options,re=this.selector(y,a,x);let ae={};switch(z){case"union":re.forEach(se=>{ae[se]=[...y.getElementState(se),b]});break;case"diff":re.forEach(se=>{const fe=y.getElementState(se);ae[se]=fe.includes(b)?fe.filter(me=>me!==b):[...fe,b]});break;case"intersect":re.forEach(se=>{const fe=y.getElementState(se);ae[se]=fe.includes(b)?[b]:[]});break;case"default":default:re.forEach(se=>{ae[se]=[b]});break}Gi(ee)&&(ae=ee(ae)),y.setElementState(ae,this.options.animation)}selector(a,y,x){if(!x||x.length===0)return[];const b=[],z=a.getData();if(x.forEach(ee=>{z[`${ee}s`].forEach(re=>{const ae=_r(re);a.getElementVisibility(ae)!=="hidden"&&T_(a.getElementPosition(ae),y)&&b.push(ae)})}),x.includes("edge")){const ee=z.edges;ee==null||ee.forEach(re=>{const{source:ae,target:se}=re;b.includes(ae)&&b.includes(se)&&b.push(_r(re))})}return b}clearBrush(){var a;(a=this.rectShape)===null||a===void 0||a.remove(),this.rectShape=void 0,this.startPoint=void 0,this.endPoint=void 0}isKeydown(){const{trigger:a}=this.options,y=Array.isArray(a)?a:[a];return this.shortcut.match(y.filter(x=>x!=="drag"))}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}bindEvents(){const{graph:a}=this.context;a.on(va.POINTER_DOWN,this.onPointerDown),a.on(va.POINTER_MOVE,this.onPointerMove),a.on(va.POINTER_UP,this.onPointerUp),a.on(Df.CLICK,this.clearStates)}unbindEvents(){const{graph:a}=this.context;a.off(va.POINTER_DOWN,this.onPointerDown),a.off(va.POINTER_MOVE,this.onPointerMove),a.off(va.POINTER_UP,this.onPointerUp),a.off(Df.CLICK,this.clearStates)}update(a){this.unbindEvents(),this.options=nc(this.options,a),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy()}}pv.defaultOptions={animation:!1,enable:!0,enableElements:["node","combo","edge"],immediately:!1,mode:"default",state:"selected",trigger:["shift"],style:{width:0,height:0,lineWidth:1,fill:"#1677FF",stroke:"#1677FF",fillOpacity:.1,zIndex:2,pointerEvents:"none"}};const wp=E=>[E.canvas.x,E.canvas.y],Bf=.8,pg=["node","edge","combo"];function yg(E,a,y,x,b=0){x==="TB"&&a(E,b);const z=y(E);if(z)for(const ee of z)yg(ee,a,y,x,b+1);x==="BT"&&a(E,b)}function k_(E,a,y){const x=[[E,0]];for(;x.length;){const[b,z]=x.shift();a(b,z);const ee=y(b);if(ee)for(const re of ee)x.push([re,z+1])}}function rw(E,a,y,x,b="both"){if(a==="combo"||a==="node")return IA(E,y,x,b);const z=E.getEdgeData(y);if(!z)return[];const ee=IA(E,z.source,x-1,b),re=IA(E,z.target,x-1,b);return Array.from(new Set([...ee,...re,y]))}function IA(E,a,y,x="both"){const b=new Set,z=new Set,ee=new Set;return k_(a,(re,ae)=>{ae>y||(ee.add(re),E.getRelatedEdgesData(re,x).forEach(se=>{const fe=_r(se);!z.has(fe)&&aeE.getRelatedEdgesData(re,x).map(ae=>ae.source===re?ae.target:ae.source).filter(ae=>b.has(ae)?!1:(b.add(ae),!0))),Array.from(ee)}function LA(E){return E.states||[]}var Mp=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class Dp extends kc{constructor(a,y){super(a,Object.assign({},Dp.defaultOptions,y)),this.onClickSelect=x=>Mp(this,void 0,void 0,function*(){var b,z;this.validate(x)&&(yield this.updateState(x),(z=(b=this.options).onClick)===null||z===void 0||z.call(b,x))}),this.onClickCanvas=x=>Mp(this,void 0,void 0,function*(){var b,z;this.validate(x)&&(yield this.clearState(),(z=(b=this.options).onClick)===null||z===void 0||z.call(b,x))}),this.shortcut=new f0(a.graph),this.bindEvents()}bindEvents(){const{graph:a}=this.context;this.unbindEvents(),pg.forEach(y=>{a.on(`${y}:${va.CLICK}`,this.onClickSelect)}),a.on(Df.CLICK,this.onClickCanvas)}get isMultipleSelect(){const{multiple:a,trigger:y}=this.options;return a&&this.shortcut.match(y)}getNeighborIds(a){const{target:y,targetType:x}=a,{graph:b}=this.context,{degree:z}=this.options;return rw(b,x,y.id,typeof z=="function"?z(a):z).filter(ee=>ee!==y.id)}updateState(a){return Mp(this,void 0,void 0,function*(){const{state:y,unselectedState:x,neighborState:b,animation:z}=this.options;if(!y&&!b&&!x)return;const{target:ee}=a,{graph:re}=this.context,ae=re.getElementData(ee.id),se=LA(ae).includes(y)?"unselect":"select",fe={},me=this.isMultipleSelect,Ae=[ee.id],Te=this.getNeighborIds(a);if(me)if(Object.assign(fe,this.getDataStates()),se==="select"){const Fe=(Ue,je)=>{Ue.forEach(Ke=>{const Ze=new Set(re.getElementState(Ke));Ze.add(je),Ze.delete(x),fe[Ke]=Array.from(Ze)})};Fe(Ae,y),Fe(Te,b),x&&Object.keys(fe).forEach(Ue=>{const je=fe[Ue];!je.includes(y)&&!je.includes(b)&&!je.includes(x)&&fe[Ue].push(x)})}else{const Fe=fe[ee.id];fe[ee.id]=Fe.filter(Ue=>Ue!==y&&Ue!==b),Fe.includes(x)||fe[ee.id].push(x),Te.forEach(Ue=>{fe[Ue]=fe[Ue].filter(je=>je!==b),fe[Ue].includes(y)||fe[Ue].push(x)})}else if(se==="select"){Object.assign(fe,this.getClearStates(!!x));const Fe=(Ue,je)=>{Ue.forEach(Ke=>{fe[Ke]||(fe[Ke]=re.getElementState(Ke)),fe[Ke].push(je)})};Fe(Ae,y),Fe(Te,b),x&&Object.keys(fe).forEach(Ue=>{!Ae.includes(Ue)&&!Te.includes(Ue)&&fe[Ue].push(x)})}else Object.assign(fe,this.getClearStates());yield re.setElementState(fe,z)})}getDataStates(){const{graph:a}=this.context,{nodes:y,edges:x,combos:b}=a.getData(),z={};return[...y,...x,...b].forEach(ee=>{z[_r(ee)]=LA(ee)}),z}getClearStates(a=!1){const{graph:y}=this.context,{state:x,unselectedState:b,neighborState:z}=this.options,ee=new Set([x,b,z]),{nodes:re,edges:ae,combos:se}=y.getData(),fe={};return[...re,...ae,...se].forEach(me=>{const Ae=LA(me),Te=Ae.filter(Fe=>!ee.has(Fe));(a||Te.length!==Ae.length)&&(fe[_r(me)]=Te)}),fe}clearState(){return Mp(this,void 0,void 0,function*(){const{graph:a}=this.context;yield a.setElementState(this.getClearStates(),this.options.animation)})}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;pg.forEach(y=>{a.off(`${y}:${va.CLICK}`,this.onClickSelect)}),a.off(Df.CLICK,this.onClickCanvas)}destroy(){this.unbindEvents(),super.destroy()}}Dp.defaultOptions={animation:!0,enable:!0,multiple:!1,trigger:["shift"],state:"selected",neighborState:"selected",unselectedState:void 0,degree:0};function xc(E){var a;return!!(!((a=E.style)===null||a===void 0)&&a.collapsed)}var rc=function(E,a,y){for(var x=0,b=Ls(a)?a.split("."):a;E&&x="A"&&y<="Z"}function aw(E,a){return`${a}${ip(E)}`}function iw(E,a,y=!0){if(!a||!Ev(E,a))return E;const x=E.slice(a.length);return y?U_(x):x}function eu(E,a){const y=Object.entries(E).reduce((x,[b,z])=>(b==="className"||b==="class"||Ev(b,a)&&Object.assign(x,{[iw(b,a)]:z}),x),{});if("opacity"in E){const x=aw("opacity",a),b=E.opacity;if(x in E){const z=E[x];Object.assign(y,{opacity:b*z})}else Object.assign(y,{opacity:b})}return y}function OA(E,a){const y=a.length;return 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0){const{x:z=0,y:ee=0,z:re=0}=this.attributes;a.forEach(ae=>{const{x:se=z,y:fe=ee,z:me=re}=ae;Object.assign(ae,{transform:me?[["translate3d",se,fe,me]]:[["translate",se,fe]]})})}const b=super.animate(a,y);if(b&&(TA(this,b),x.push(b)),Array.isArray(a)&&a.length>0){const z=["transform","transformOrigin","x","y","z","zIndex"];if(Object.keys(a[0]).some(ee=>!z.includes(ee))){Object.entries(this.shapeMap).forEach(([re,ae])=>{const se=`get${ip(re)}Style`,fe=this[se];if(Gi(fe)){const me=a.map(Te=>fe.call(this,Object.assign(Object.assign({},this.attributes),Te))),Ae=ae.animate(uA(me),y);Ae&&(TA(ae,Ae),x.push(Ae))}});const ee=(re,ae)=>{if(!cf(re)){const se=`get${ip(ae)}Style`,fe=this[se];if(Gi(fe)){const me=a.map(Ae=>fe.call(this,Object.assign(Object.assign({},this.attributes),Ae)));Object.entries(me[0]).map(([Ae])=>{const Te=me.map(Ue=>Ue[Ae]),Fe=re[Ae];if(Fe){const Ue=Fe.animate(uA(Te),y);Ue&&(TA(Fe,Ue),x.push(Ue))}})}}};this.compositeShapes.forEach(([re,ae])=>{const se=OA(this.shapeMap,ae);ee(se,re)})}}return lA(x)}getShape(a){return this.shapeMap[a]}setVisibility(){const{visibility:a}=this.attributes;vg(this,a)}destroy(){this.shapeMap={},this.animateMap={},super.destroy()}}function TA(E,a){a==null||a.finished.then(()=>{const y=E.activeAnimations.findIndex(x=>x===a);y>-1&&E.activeAnimations.splice(y,1)})}function fw(E){if(!E)return{};if("x"in E||"y"in E||"z"in E){const{x:a=0,y=0,z:x,transform:b}=E,z=qP(a,y,x,b);z&&(E.transform=z)}return E}var eF=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{y.push([b===0?"M":"L",...x])}),a&&y.push(["Z"]),y}const hw={M:["x","y"],m:["dx","dy"],H:["x"],h:["dx"],V:["y"],v:["dy"],L:["x","y"],l:["dx","dy"],Z:[],z:[],C:["x1","y1","x2","y2","x","y"],c:["dx1","dy1","dx2","dy2","dx","dy"],S:["x2","y2","x","y"],s:["dx2","dy2","dx","dy"],Q:["x1","y1","x","y"],q:["dx1","dy1","dx","dy"],T:["x","y"],t:["dx","dy"],A:["rx","ry","rotation","large-arc","sweep","x","y"],a:["rx","ry","rotation","large-arc","sweep","dx","dy"]};function nF(E){const a=E.replace(/[\n\r]/g,"").replace(/-/g," -").replace(/(\d*\.)(\d+)(?=\.)/g,"$1$2 ").trim().split(/\s*,|\s+/),y=[];let x="",b={};for(;a.length>0;){let z=a.shift();z in hw?x=z:a.unshift(z),b={type:x},hw[x].forEach(ae=>{z=a.shift(),b[ae]=z}),x==="M"?x="L":x==="m"&&(x="l");const[ee,...re]=Object.values(b);y.push([ee,...re.map(Number)])}return y}function rF(E){const a=[];return(typeof E=="string"?nF(E):E).forEach(x=>{const b=x[0];if(b==="Z"){a.push(a[0]);return}if(b!=="A")for(let z=1;z{if(E.length<2)return[["M",0,0],["L",0,0]];const a=E[0],y=E[1],x=E[E.length-1],b=E[E.length-2];E.unshift(b,x),E.push(a,y);const z=[["M",x[0],x[1]]];for(let ee=1;ee{const je=Fe,Ke=fe[(Ue+1)%fe.length];return Vl(je,Ke)?null:[je,Ke]}).filter(Boolean),Ae=R_([re,ae],me),Te=ew([re,ae],Ae);if(Te&&Ae&&(se.transform=[["translate",Te[0]+y,Te[1]+x]],ee)){const Fe=Math.atan((Ae[0][1]-Ae[1][1])/(Ae[0][0]-Ae[1][0]));se.transform.push(["rotate",Fe/Math.PI*180]),se.textAlign="center",(a==="right"||a==="left")&&(Fe>0?se.textBaseline=a==="right"?"bottom":"top":se.textBaseline=a==="right"?"top":"bottom")}return se}var iF=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{x!=null&&x.children.length&&x.children.forEach(b=>{a.push(b),y(b)})};return y(E),a}function sF(E){const a=[];let y=E.parentNode;for(;y;)a.push(y),y=y.parentNode;return a}class BA extends iv{constructor(a){super(a),this.onMounted=()=>{this.handleRadius()},this.onAttrModified=()=>{this.handleRadius()},g0=this,this.isMutationObserved=!0,this.addEventListener(is.MOUNTED,this.onMounted),this.addEventListener(is.ATTR_MODIFIED,this.onAttrModified)}handleRadius(){const{radius:a,clipPath:y,width:x=0,height:b=0}=this.attributes;if(a&&x&&b){const[z,ee]=this.getBounds().min,re={x:z,y:ee,radius:a,width:x,height:b};if(y)Object.assign(this.parsedStyle.clipPath.style,re);else{const ae=new Du({style:re});this.style.clipPath=ae}}else y&&(this.style.clipPath=null)}}const NA=new WeakMap;let g0=null;const RA=E=>{if(g0&&sF(g0).includes(E)){const a=NA.get(E);a?a.includes(g0)||a.push(g0):NA.set(E,[g0])}},_A=E=>{const a=NA.get(E);a&&a.forEach(y=>y.handleRadius())};class vw extends Av{constructor(a){super(a)}isImage(){const{src:a}=this.attributes;return!!a}getIconStyle(a=this.attributes){const{width:y=0,height:x=0}=a,b=this.getGraphicStyle(a);return this.isImage()?Object.assign({x:-y/2,y:-x/2},b):Object.assign({textBaseline:"middle",textAlign:"center"},b)}render(a=this.attributes,y=this){this.upsert("icon",this.isImage()?BA:dg,this.getIconStyle(a),y)}}class mw extends Av{get context(){return this.config.context}get parsedAttributes(){return this.attributes}onframe(){}animate(a,y){const x=super.animate(a,y);return x&&(x.onframe=()=>this.onframe(),x.finished.then(()=>this.onframe())),x}}var Ip=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{b[me]=!1}),a.badge===!1||!(!((y=a.badges)===null||y===void 0)&&y.length))return b;const{badges:z=[],badgePalette:ee,opacity:re=1}=a,ae=Ip(a,["badges","badgePalette","opacity"]),se=uw(ee),fe=eu(this.getGraphicStyle(ae),"badge");return z.forEach((me,Ae)=>{b[Ae]=Object.assign(Object.assign({backgroundFill:se?se[Ae%(se==null?void 0:se.length)]:void 0,opacity:re},fe),this.getBadgeStyle(me))}),b}getBadgeStyle(a){const y=this.getShape("key"),{placement:x="top",offsetX:b,offsetY:z}=a,ee=Ip(a,["placement","offsetX","offsetY"]),re=Yw(y.getLocalBounds(),x,b,z,!0);return Object.assign(Object.assign({},re),ee)}getPortsStyle(a){var y;const x=this.getPorts(),b={};if(Object.keys(x).forEach(re=>{b[re]=!1}),a.port===!1||!(!((y=a.ports)===null||y===void 0)&&y.length))return b;const z=eu(this.getGraphicStyle(a),"port"),{ports:ee=[]}=a;return ee.forEach((re,ae)=>{const se=re.key||ae,fe=Object.assign(Object.assign({},z),re);if(Kw(fe))b[se]=!1;else{const[me,Ae]=this.getPortXY(a,re);b[se]=Object.assign({transform:[["translate",me,Ae]]},fe)}}),b}getPortXY(a,y){const{placement:x="left"}=y,b=this.getShape("key");return XA(lF(this.context,b),x)}getPorts(){return OA(this.shapeMap,"port-")}getCenter(){return this.getShape("key").getBounds().center}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return B_(a,x,y)}drawHaloShape(a,y){const x=this.getHaloStyle(a),b=this.getShape("key");this.upsert("halo",b.constructor,x,y)}drawIconShape(a,y){const x=this.getIconStyle(a);this.upsert("icon",vw,x,y),RA(this)}drawBadgeShapes(a,y){const x=this.getBadgesStyle(a);Object.keys(x).forEach(b=>{const z=x[b];this.upsert(`badge-${b}`,h0,z,y)})}drawPortShapes(a,y){const x=this.getPortsStyle(a);Object.keys(x).forEach(b=>{const z=x[b],ee=`port-${b}`;this.upsert(ee,wf,z,y)})}drawLabelShape(a,y){const x=this.getLabelStyle(a);this.upsert("label",hh,x,y)}_drawKeyShape(a,y){return this.drawKeyShape(a,y)}render(a=this.parsedAttributes,y=this){this._drawKeyShape(a,y),this.getShape("key")&&(this.drawHaloShape(a,y),this.drawIconShape(a,y),this.drawBadgeShapes(a,y),this.drawLabelShape(a,y),this.drawPortShapes(a,y))}update(a){super.update(a),a&&("x"in a||"y"in a||"z"in a)&&_A(this)}onframe(){this.drawBadgeShapes(this.parsedAttributes,this),this.drawLabelShape(this.parsedAttributes,this)}}_d.defaultStyleProps={x:0,y:0,size:32,droppable:!0,draggable:!0,port:!0,ports:[],portZIndex:2,portLinkToCenter:!1,badge:!0,badges:[],badgeZIndex:3,halo:!1,haloDroppable:!1,haloLineDash:0,haloLineWidth:12,haloStrokeOpacity:.25,haloPointerEvents:"none",haloZIndex:-1,icon:!0,iconZIndex:1,label:!0,labelIsBillboard:!0,labelMaxWidth:"200%",labelPlacement:"bottom",labelWordWrap:!1,labelZIndex:0};function lF(E,a){if(!E)return a.getLocalBounds();const y=E.canvas.getLayer(),x=a.cloneNode();vg(x,"hidden"),y.appendChild(x);const b=x.getLocalBounds();return x.destroy(),b}class Eg extends _d{constructor(a){super(Eu({style:Eg.defaultStyleProps},a))}drawKeyShape(a,y){return this.upsert("key",wf,this.getKeyStyle(a),y)}getKeyStyle(a){const y=super.getKeyStyle(a);return Object.assign(Object.assign({},y),{r:Math.min(...this.getSize(a))/2})}getIconStyle(a){const y=super.getIconStyle(a),{r:x}=this.getShape("key").attributes,b=x*2*Bf;return y?Object.assign({width:b,height:b},y):!1}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return Pp(a,x,y)}}Eg.defaultStyleProps={size:32};class Lp extends _d{constructor(a){super(a)}get parsedAttributes(){return this.attributes}drawKeyShape(a,y){return this.upsert("key",cg,this.getKeyStyle(a),y)}getKeyStyle(a){const y=super.getKeyStyle(a);return Object.assign(Object.assign({},y),{points:this.getPoints(a)})}getIntersectPoint(a,y=!1){var x,b;const{points:z}=this.getShape("key").attributes,ee=[+(((x=this.attributes)===null||x===void 0?void 0:x.x)||0),+(((b=this.attributes)===null||b===void 0?void 0:b.y)||0)];return $2(a,ee,z,!0,y).point}}class uF extends Lp{constructor(a){super(a)}getPoints(a){const[y,x]=this.getSize(a);return $8(y,x)}}var cF=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);bOi(me)?{value:me}:me),z=eu(this.getGraphicStyle(a),"donut"),ee=uw(a.donutPalette);if(!ee)return;const re=b.reduce((me,Ae)=>{var Te;return me+((Te=Ae.value)!==null&&Te!==void 0?Te:0)},0),ae=this.parseOuterR(),se=this.parseInnerR();let fe=0;b.forEach((me,Ae)=>{const{value:Te=0,color:Fe=ee[Ae%ee.length]}=me,Ue=cF(me,["value","color"]),je=(re===0?1/b.length:Te/re)*360;this.upsert(`round${Ae}`,Rc,Object.assign(Object.assign(Object.assign({},z),{d:hF(ae,se,fe,fe+je),fill:Fe}),Ue),y),fe+=je})}render(a,y=this){super.render(a,y),this.drawDonutShape(a,y)}}Op.defaultStyleProps={innerR:"50%",donuts:[],donutPalette:"tableau"};const Tp=(E,a,y,x)=>[E+Math.sin(x)*y,a-Math.cos(x)*y],dF=(E,a,y,x)=>x<=0||y<=x?[["M",E-y,a],["A",y,y,0,1,1,E+y,a],["A",y,y,0,1,1,E-y,a],["Z"]]:[["M",E-y,a],["A",y,y,0,1,1,E+y,a],["A",y,y,0,1,1,E-y,a],["Z"],["M",E+x,a],["A",x,x,0,1,0,E-x,a],["A",x,x,0,1,0,E+x,a],["Z"]],fF=(E,a,y,x,b,z)=>{const[ee,re]=[b/360*2*Math.PI,z/360*2*Math.PI],ae=[Tp(E,a,x,ee),Tp(E,a,y,ee),Tp(E,a,y,re),Tp(E,a,x,re)],se=re-ee>Math.PI?1:0;return[["M",ae[0][0],ae[0][1]],["L",ae[1][0],ae[1][1]],["A",y,y,0,se,1,ae[2][0],ae[2][1]],["L",ae[3][0],ae[3][1]],["A",x,x,0,se,0,ae[0][0],ae[0][1]],["Z"]]},hF=(E=0,a=0,y,x)=>{const[b,z]=[0,0];return Math.abs(y-x)%360<1e-6?dF(b,z,E,a):fF(b,z,E,a,y,x)};class Bp extends _d{constructor(a){super(Eu({style:Bp.defaultStyleProps},a))}drawKeyShape(a,y){return this.upsert("key",rv,this.getKeyStyle(a),y)}getKeyStyle(a){const y=super.getKeyStyle(a),[x,b]=this.getSize(a);return Object.assign(Object.assign({},y),{rx:x/2,ry:b/2})}getIconStyle(a){const y=super.getIconStyle(a),{rx:x,ry:b}=this.getShape("key").attributes,z=Math.min(+x,+b)*2*Bf;return y?Object.assign({width:z,height:z},y):!1}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return Pp(a,x,y)}}Bp.defaultStyleProps={size:[45,35]};class gF extends Lp{constructor(a){super(a)}getOuterR(a){return a.outerR||Math.min(...this.getSize(a))/2}getPoints(a){return nk(this.getOuterR(a))}getIconStyle(a){const y=super.getIconStyle(a),x=this.getOuterR(a)*Bf;return y?Object.assign({width:x,height:x},y):!1}}function vF(E,a){var y=a.cx,x=y===void 0?0:y,b=a.cy,z=b===void 0?0:b,ee=a.r;E.arc(x,z,ee,0,Math.PI*2,!1)}function mF(E,a){var y=a.cx,x=y===void 0?0:y,b=a.cy,z=b===void 0?0:b,ee=a.rx,re=a.ry;if(E.ellipse)E.ellipse(x,z,ee,re,0,0,Math.PI*2,!1);else{var ae=ee>re?ee:re,se=ee>re?1:ee/re,fe=ee>re?re/ee:1;E.save(),E.scale(se,fe),E.arc(x,z,ae,0,Math.PI*2)}}function pF(E,a){var y=a.x1,x=a.y1,b=a.x2,z=a.y2,ee=a.markerStart,re=a.markerEnd,ae=a.markerStartOffset,se=a.markerEndOffset,fe=0,me=0,Ae=0,Te=0,Fe=0,Ue,je;ee&&Os(ee)&&ae&&(Ue=b-y,je=z-x,Fe=Math.atan2(je,Ue),fe=Math.cos(Fe)*(ae||0),me=Math.sin(Fe)*(ae||0)),re&&Os(re)&&se&&(Ue=y-b,je=x-z,Fe=Math.atan2(je,Ue),Ae=Math.cos(Fe)*(se||0),Te=Math.sin(Fe)*(se||0)),E.moveTo(y+fe,x+me),E.lineTo(b+Ae,z+Te)}function yF(E,a){var y=a.markerStart,x=a.markerEnd,b=a.markerStartOffset,z=a.markerEndOffset,ee=a.d,re=ee.absolutePath,ae=ee.segments,se=0,fe=0,me=0,Ae=0,Te=0,Fe,Ue;if(y&&Os(y)&&b){var je=y.parentNode.getStartTangent(),Ke=(0,Wn.Z)(je,2),Ze=Ke[0],Je=Ke[1];Fe=Ze[0]-Je[0],Ue=Ze[1]-Je[1],Te=Math.atan2(Ue,Fe),se=Math.cos(Te)*(b||0),fe=Math.sin(Te)*(b||0)}if(x&&Os(x)&&z){var tt=x.parentNode.getEndTangent(),at=(0,Wn.Z)(tt,2),st=at[0],ft=at[1];Fe=st[0]-ft[0],Ue=st[1]-ft[1],Te=Math.atan2(Ue,Fe),me=Math.cos(Te)*(z||0),Ae=Math.sin(Te)*(z||0)}for(var 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ft=b.context.contextService.getDomElement();x.globalThis.navigator.msPointerEnabled?(ft.style.msContentZooming="none",ft.style.msTouchAction="none"):ae.supportsPointerEvents&&(ft.style.touchAction="none"),ae.supportsPointerEvents?Ke(ft):Je(ft),ae.supportsTouchEvents&&Ze(ft),re.useNativeClickEvent&&ft.addEventListener("click",je,!0),ft.addEventListener("wheel",Ue,{passive:!0,capture:!0})}),z.hooks.destroy.tap(E.tag,function(){var ft=b.context.contextService.getDomElement();x.globalThis.navigator.msPointerEnabled?(ft.style.msContentZooming="",ft.style.msTouchAction=""):ae.supportsPointerEvents&&(ft.style.touchAction=""),ae.supportsPointerEvents?tt(ft):st(ft),ae.supportsTouchEvents&&at(ft),re.useNativeClickEvent&&ft.removeEventListener("click",je,!0),ft.removeEventListener("wheel",Ue,!0)})}}])}();ww.tag="DOMInteraction";var qF=function(E){function a(){var y;(0,Ar.Z)(this,a);for(var x=arguments.length,b=new Array(x),z=0;z1&&arguments[1]!==void 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Ke=b.context.config,Ze=Ke.width,Je=Ke.height;b.$camera.parentElement.style.width="".concat(Ze||0,"px"),b.$camera.parentElement.style.height="".concat(Je||0,"px")}};re.hooks.init.tap(E.tag,function(){ae.addEventListener(_c.RESIZE,Ue),ae.addEventListener(is.MOUNTED,me),ae.addEventListener(is.UNMOUNTED,Ae),ae.addEventListener(is.ATTR_MODIFIED,Te),ae.addEventListener(is.BOUNDS_CHANGED,Fe)}),re.hooks.endFrame.tap(E.tag,function(){b.$camera&&ee.renderReasons.has(o0.CAMERA_CHANGED)&&(b.$camera.style.transform=b.joinTransformMatrix(z.getOrthoMatrix()))}),re.hooks.destroy.tap(E.tag,function(){b.$camera&&b.$camera.remove(),ae.removeEventListener(_c.RESIZE,Ue),ae.removeEventListener(is.MOUNTED,me),ae.removeEventListener(is.UNMOUNTED,Ae),ae.removeEventListener(is.ATTR_MODIFIED,Te),ae.removeEventListener(is.BOUNDS_CHANGED,Fe)})}},{key:"createCamera",value:function(y){var x=this.context.config,b=x.document,z=x.width,ee=x.height,re=this.context.contextService.getDomElement(),ae=re.parentNode;if(ae){var se=$F,fe=ae.querySelector("#".concat(se));if(!fe){var me=(b||document).createElement("div");me.style.overflow="hidden",me.style.pointerEvents="none",me.style.position="absolute",me.style.left="0px",me.style.top="0px",me.style.width="".concat(z||0,"px"),me.style.height="".concat(ee||0,"px");var Ae=(b||document).createElement("div");fe=Ae,Ae.id=se,Ae.style.position="absolute",Ae.style.left="".concat(re.offsetLeft||0,"px"),Ae.style.top="".concat(re.offsetTop||0,"px"),Ae.style.transformOrigin="left top",Ae.style.transform=this.joinTransformMatrix(y.getOrthoMatrix()),Ae.style.pointerEvents="none",Ae.style.width="100%",Ae.style.height="100%",me.appendChild(Ae),ae.appendChild(me)}return fe}return null}},{key:"getOrCreateEl",value:function(y){var x=this.context.config.document,b=this.displayObjectHTMLElementMap.get(y);return b||(b=(x||document).createElement("div"),y.parsedStyle.$el=b,this.displayObjectHTMLElementMap.set(y,b),y.id&&(b.id=y.id),y.name&&b.setAttribute("name",y.name),y.className&&(b.className=y.className),b.style.position="absolute",b.style["will-change"]="transform",b.style.transform=this.joinTransformMatrix(y.getWorldTransform(),y.getOrigin())),b}},{key:"updateAttribute",value:function(y,x){var b=this.getOrCreateEl(x);switch(y){case"innerHTML":var z=x.parsedStyle.innerHTML;Ls(z)?b.innerHTML=z:(b.innerHTML="",b.appendChild(z));break;case"x":b.style.left="".concat(x.parsedStyle.x,"px");break;case"y":b.style.top="".concat(x.parsedStyle.y,"px");break;case"transformOrigin":var ee=x.parsedStyle.transformOrigin;b.style["transform-origin"]="".concat(ee[0].buildCSSText(null,null,"")," ").concat(ee[1].buildCSSText(null,null,""));break;case"width":var re=x.parsedStyle.width;b.style.width=Oi(re)?"".concat(re,"px"):re.toString();break;case"height":var ae=x.parsedStyle.height;b.style.height=Oi(ae)?"".concat(ae,"px"):ae.toString();break;case"zIndex":var se=x.parsedStyle.zIndex;b.style["z-index"]="".concat(se);break;case"visibility":var fe=x.parsedStyle.visibility;b.style.visibility=fe;break;case"pointerEvents":var me=x.parsedStyle.pointerEvents,Ae=me===void 0?"auto":me;b.style.pointerEvents=Ae;break;case"opacity":var Te=x.parsedStyle.opacity;b.style.opacity="".concat(Te);break;case"fill":var Fe=x.parsedStyle.fill,Ue="";Lm(Fe)?Fe.isNone?Ue="transparent":Ue=x.getAttribute("fill"):Array.isArray(Fe)?Ue=x.getAttribute("fill"):ag(Fe),b.style.background=Ue;break;case"stroke":var je=x.parsedStyle.stroke,Ke="";Lm(je)?je.isNone?Ke="transparent":Ke=x.getAttribute("stroke"):Array.isArray(je)?Ke=x.getAttribute("stroke"):ag(je),b.style["border-color"]=Ke,b.style["border-style"]="solid";break;case"lineWidth":var 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re=this.bootstrapEvent(this.rootPointerEvent,ee,b,y);yv(x.context.eventService,"mappingTable.pointerupoutside",[]),x.context.eventService.mapEvent(re)})}}get eventService(){return this.context.canvas.context.eventService}get events(){return[va.CLICK,va.POINTER_DOWN,va.POINTER_MOVE,va.POINTER_UP,va.POINTER_OVER,va.POINTER_LEAVE]}getDomElement(){return this.getShape("key").getDomElement()}render(a=this.parsedAttributes,y=this){this.drawKeyShape(a,y),this.drawPortShapes(a,y)}getKeyStyle(a){const y=xg(a,["dx","dy","innerHTML","pointerEvents","cursor"]),{dx:x=0,dy:b=0}=y,z=i8(y,["dx","dy"]),[ee,re]=this.getSize(a);return Object.assign(Object.assign({x,y:b},z),{width:ee,height:re})}drawKeyShape(a,y){const x=this.getKeyStyle(a),{x:b,y:z,width:ee=0,height:re=0}=x,ae=this.upsert("key-container",Du,{x:b,y:z,width:ee,height:re,opacity:0},y);return this.upsert("key",av,x,ae)}connectedCallback(){if(!(this.context.canvas.getRenderer("main")instanceof Sv))return;const x=this.getDomElement();this.events.forEach(b=>{x.addEventListener(b,this.forwardEvents)})}attributeChangedCallback(a,y,x){a==="zIndex"&&y!==x&&(this.getDomElement().style.zIndex=x)}destroy(){const a=this.getDomElement();this.events.forEach(y=>{a.removeEventListener(y,this.forwardEvents)}),super.destroy()}normalizeToPointerEvent(a,y){const x=[];if(y.isTouchEvent(a))for(let b=0;bthis.context.element.getElement(ee)).filter(Boolean);if(b.length===0){const ee=new il,{x:re=0,y:ae=0,size:se}=a,[fe,me]=zc(se);return ee.setMinMax([re-fe/2,ae-me/2,0],[re+fe/2,ae+me/2,0]),ee}const z=dv(b.map(ee=>ee.getBounds()));return x?uh(z,x):z}drawCollapsedMarkerShape(a,y){const x=this.getCollapsedMarkerStyle(a);this.upsert("collapsed-marker",vw,x,y),RA(this)}getCollapsedMarkerStyle(a){if(!a.collapsed||!a.collapsedMarker)return!1;const y=eu(this.getGraphicStyle(a),"collapsedMarker"),{type:x}=y,b=Lw(y,["type"]),z=this.getShape("key"),[ee,re]=Tf(z.getLocalBounds(),"center"),ae=Object.assign(Object.assign({},b),{x:ee,y:re});if(x){const se=this.getCollapsedMarkerText(x,a);Object.assign(ae,{text:se})}return ae}getCollapsedMarkerText(a,y){const{childrenData:x=[]}=y,{model:b}=this.context;return a==="descendant-count"?b.getDescendantsData(this.id).length.toString():a==="child-count"?x.length.toString():a==="node-count"?b.getDescendantsData(this.id).filter(z=>b.getElementType(_r(z))==="node").length.toString():Gi(a)?a(x):""}getComboPosition(a){const{x:y=0,y:x=0,collapsed:b,childrenData:z=[]}=a;if(z.length===0)return[+y,+x,0];if(b){const{model:ee}=this.context,re=ee.getDescendantsData(this.id).filter(ae=>!ee.isCombo(_r(ae)));if(re.length>0&&re.some(I_)){const ae=re.reduce((se,fe)=>ko(se,uu(fe)),[0,0,0]);return Nd(ae,re.length)}return[+y,+x,0]}return this.getContentBBox(a).center}getComboStyle(a){const[y,x]=this.getComboPosition(a);return{x:y,y:x,transform:[["translate",y,x]]}}updateComboPosition(a){const y=this.getComboStyle(a);Object.assign(this.style,y);const{x,y:b}=y;this.context.model.syncNodeLikeDatum({id:this.id,style:{x,y:b}}),_A(this)}render(a,y=this){super.render(a,y),this.drawCollapsedMarkerShape(a,y)}update(a={}){super.update(a),this.updateComboPosition(this.parsedAttributes)}onframe(){super.onframe(),this.attributes.collapsed||this.updateComboPosition(this.parsedAttributes),this.drawKeyShape(this.parsedAttributes,this)}animate(a,y){const x=super.animate(this.attributes.collapsed?a:a.map(b=>{var{x:z,y:ee,z:re,transform:ae}=b,se=Lw(b,["x","y","z","transform"]);return se}),y);return x&&new Proxy(x,{set:(b,z,ee)=>(z==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(b,z,ee))})}}v0.defaultStyleProps={childrenNode:[],droppable:!0,draggable:!0,collapsed:!1,collapsedSize:32,collapsedMarker:!0,collapsedMarkerZIndex:1,collapsedMarkerFontSize:12,collapsedMarkerTextAlign:"center",collapsedMarkerTextBaseline:"middle",collapsedMarkerType:"child-count"};class l8 extends v0{constructor(a){super(a)}drawKeyShape(a,y){return this.upsert("key",wf,this.getKeyStyle(a),y)}getKeyStyle(a){const{collapsed:y}=a,x=super.getKeyStyle(a),[b]=this.getKeySize(a);return Object.assign(Object.assign(Object.assign({},x),y&&eu(x,"collapsed")),{r:b/2})}getCollapsedKeySize(a){const[y,x]=zc(a.collapsedSize),b=Math.max(y,x)/2;return[b*2,b*2,0]}getExpandedKeySize(a){const y=this.getContentBBox(a),[x,b]=sh(y),z=Math.sqrt(Math.pow(x,2)+Math.pow(b,2))/2;return[z*2,z*2,0]}getIntersectPoint(a,y=!1){const x=this.getShape("key").getBounds();return Pp(a,x,y)}}class u8 extends 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Fe=[ae[0]+fe*Math.cos(Tw[b]),ae[1]+fe*Math.sin(Tw[b])];me=fh(hg(Fe,ee),Fe,.01)}else me=fh(hg(ae,ee),ae,-.01);let Ae=bv(me,se,ee),Te=[mv(me,2),mv(Ae,2)];if(Vl(mv(me),mv(Ae))){const Fe=PA(qs(me,ae),[1,0,0])+Math.PI/2;Ae=[se[0]+fe*Math.cos(Fe),se[1]+fe*Math.sin(Fe),0],Ae=mv(fh(hg(Ae,ee),se,-.01),2);const Ue=bv(me,Ae,ee);Te=[me,Ue,Ae]}return{points:re?Te.reverse():Te,direction:ac(re?me:Ae,a)}}function bv(E,a,y){let x=[E[0],a[1]];return Od(x,y)&&(x=[a[0],E[1]]),x}function Rw(E,a,y,x,b){let ae=typeof a=="number"?a:.5;a==="start"&&(ae=0),a==="end"&&(ae=.99);const se=Iu(E.getPoint(ae)),fe=Iu(E.getPoint(ae+.01));let me=a==="start"?"left":a==="end"?"right":"center";if(X2(se,fe)||!y){const[Ke,Ze]=_w(E,ae,x,b);return{transform:[["translate",Ke,Ze]],textAlign:me}}let Ae=Math.atan2(fe[1]-se[1],fe[0]-se[0]);fe[0]{const fe=ee[se-1]||b,me=ee[se+1]||z;if(!J2(fe,ae,me)&&a){const[Ae,Te]=b8(fe,ae,me,a);re.push(["L",Ae[0],Ae[1]],["Q",ae[0],ae[1],Te[0],Te[1]],["L",Te[0],Te[1]])}else 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ee=E.getPorts()[b||z],re=E.getPorts()[z||b];let[ae,se]=kw(E,a,y,ee,re);const fe=w8(E,ae,se,x);return ee&&(ae=Pv(ee,fe[0])),re&&(se=Pv(re,fe.at(-1))),Fw(ae,se,fe)}function w8(E,a,y,x){const b=E.getCenter();if(Vl(a,y)){const z=qs(a,b),ee=[x*Math.sign(z[0])||x/2,x*Math.sign(z[1])||-x/2,0];return[ko(a,ee),ko(y,Bd(ee,[1,-1,1]))]}return[fh(b,a,cl(b,a)+x),fh(b,y,cl(b,y)+x)]}function M8(E,a,y,x,b,z,ee){const re=JA(E),ae=re[z||ee],se=re[ee||z];let[fe,me]=kw(E,y,x,ae,se);const Ae=D8(E,fe,me,b);return ae&&(fe=Pv(ae,Ae[0])),se&&(me=Pv(se,Ae.at(-1))),ZA([fe,...Ae,me],a)}function D8(E,a,y,x){const b=[],z=lh(E);if(Vl(a,y))switch(fv(a,z)){case"left":b.push([a[0]-x,a[1]]),b.push([a[0]-x,a[1]+x]),b.push([a[0],a[1]+x]);break;case"right":b.push([a[0]+x,a[1]]),b.push([a[0]+x,a[1]+x]),b.push([a[0],a[1]+x]);break;case"top":b.push([a[0],a[1]-x]),b.push([a[0]+x,a[1]-x]),b.push([a[0]+x,a[1]]);break;case"bottom":b.push([a[0],a[1]+x]),b.push([a[0]+x,a[1]+x]),b.push([a[0]+x,a[1]]);break}else{const ee=fv(a,z),re=fv(y,z);if(ee===re){const ae=ee;let se,fe;switch(ae){case"left":se=Math.min(a[0],y[0])-x,b.push([se,a[1]]),b.push([se,y[1]]);break;case"right":se=Math.max(a[0],y[0])+x,b.push([se,a[1]]),b.push([se,y[1]]);break;case"top":fe=Math.min(a[1],y[1])-x,b.push([a[0],fe]),b.push([y[0],fe]);break;case"bottom":fe=Math.max(a[1],y[1])+x,b.push([a[0],fe]),b.push([y[0],fe]);break}}else{const ae=(Ae,Te)=>({left:[Te[0]-x,Te[1]],right:[Te[0]+x,Te[1]],top:[Te[0],Te[1]-x],bottom:[Te[0],Te[1]+x]})[Ae],se=ae(ee,a),fe=ae(re,y),me=bv(se,fe,z);b.push(se,me,fe)}}return b}function QA(E,a){const y=new Set,x=new Set,b=new Set;return E.forEach(z=>{a(z).forEach(re=>{y.add(re),E.includes(re.source)&&E.includes(re.target)?x.add(re):b.add(re)})}),{edges:Array.from(y),internal:Array.from(x),external:Array.from(b)}}function zw(E,a){const y=[];let x=E;for(;x;){y.push(x);const b=a(_r(x));if(b)x=b;else break}if(y.some(b=>{var z;return(z=b.style)===null||z===void 0?void 0:z.collapsed})){const 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b&&(ae[se]=b[se])}),ae}getLoopPath(a){const{sourcePort:y,targetPort:x}=a,b=this.sourceNode,z=lh(b),ee=Math.max(sf(z),lf(z)),{placement:re,clockwise:ae,dist:se=ee}=eu(this.getGraphicStyle(a),"loop");return P8(b,re,ae,se,y,x)}getEndpoints(a,y=!0,x=[]){const{sourcePort:b,targetPort:z}=a,{sourceNode:ee,targetNode:re}=this,[ae,se]=Z8(ee,re,b,z);if(!y){const Te=ae?mh(ae):ee.getCenter(),Fe=se?mh(se):re.getCenter();return[Te,Fe]}const fe=typeof x=="function"?x():x,me=Qw(ae||ee,fe[0]||se||re),Ae=Qw(se||re,fe[fe.length-1]||ae||ee);return[me,Ae]}getHaloStyle(a){if(a.halo===!1)return!1;const y=this.getKeyStyle(a),x=eu(this.getGraphicStyle(a),"halo");return Object.assign(Object.assign({},y),x)}getLabelStyle(a){if(a.label===!1||!a.labelText)return!1;const y=eu(this.getGraphicStyle(a),"label"),{placement:x,offsetX:b,offsetY:z,autoRotate:ee,maxWidth:re}=y,ae=Hp(y,["placement","offsetX","offsetY","autoRotate","maxWidth"]),se=Rw(this.shapeMap.key,x,ee,b,z),fe=this.shapeMap.key.getLocalBounds(),me=H_([fe.min,fe.max],re);return Object.assign({wordWrapWidth:me},se,ae)}getBadgeStyle(a){if(a.badge===!1||!a.badgeText)return!1;const y=eu(a,"badge"),{offsetX:x,offsetY:b,placement:z}=y,ee=Hp(y,["offsetX","offsetY","placement"]);return Object.assign(ee,E8(this.shapeMap,z,a.labelPlacement,x,b))}drawArrow(a,y){var x;const b=y==="start",ee=a[y==="start"?"startArrow":"endArrow"],re=this.shapeMap.key;if(ee){const ae=this.getArrowStyle(a,b),[se,fe,me]=b?["markerStart","markerStartOffset","startArrowOffset"]:["markerEnd","markerEndOffset","endArrowOffset"],Ae=re.parsedStyle[se];if(Ae)Ae.attr(ae);else{const Te=ae.src?iv:Rc,Fe=new Te({style:ae});re.style[se]=Fe}re.style[fe]=a[me]||ae.width/2+ +ae.lineWidth}else{const ae=b?"markerStart":"markerEnd";(x=re.style[ae])===null||x===void 0||x.destroy(),re.style[ae]=null}}getArrowStyle(a,y){const x=this.getShape("key").attributes,b=y?"startArrow":"endArrow",z=eu(this.getGraphicStyle(a),b),{size:ee,type:re}=z,ae=Hp(z,["size","type"]),[se,fe]=zc(I8(x.lineWidth,ee)),Ae=(Gi(re)?re:Ve[re]||Uw)(se,fe);return Object.assign(xg(x,["stroke","strokeOpacity","fillOpacity"]),{width:se,height:fe},Object.assign({},Ae&&{d:Ae,fill:re==="simple"?"":x.stroke}),ae)}drawLabelShape(a,y){const x=this.getLabelStyle(a);this.upsert("label",hh,x,y)}drawHaloShape(a,y){const x=this.getHaloStyle(a);this.upsert("halo",Rc,x,y)}drawBadgeShape(a,y){const x=this.getBadgeStyle(a);this.upsert("badge",h0,x,y)}drawSourceArrow(a){this.drawArrow(a,"start")}drawTargetArrow(a){this.drawArrow(a,"end")}drawKeyShape(a,y){const x=this.getKeyStyle(a);return this.upsert("key",Rc,x,y)}render(a=this.parsedAttributes,y=this){this.drawKeyShape(a,y),this.getShape("key")&&(this.drawSourceArrow(a),this.drawTargetArrow(a),this.drawLabelShape(a,y),this.drawHaloShape(a,y),this.drawBadgeShape(a,y))}onframe(){this.drawKeyShape(this.parsedAttributes,this),this.drawSourceArrow(this.parsedAttributes),this.drawTargetArrow(this.parsedAttributes),this.drawHaloShape(this.parsedAttributes,this),this.drawLabelShape(this.parsedAttributes,this),this.drawBadgeShape(this.parsedAttributes,this)}animate(a,y){const x=super.animate(a,y);return x&&new Proxy(x,{set:(b,z,ee)=>(z==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(b,z,ee))})}}vh.defaultStyleProps={badge:!0,badgeOffsetX:0,badgeOffsetY:0,badgePlacement:"suffix",isBillboard:!0,label:!0,labelAutoRotate:!0,labelIsBillboard:!0,labelMaxWidth:"80%",labelOffsetX:4,labelOffsetY:0,labelPlacement:"center",labelTextBaseline:"middle",labelWordWrap:!1,halo:!1,haloDroppable:!1,haloLineDash:0,haloLineWidth:12,haloPointerEvents:"none",haloStrokeOpacity:.25,haloZIndex:-1,loop:!0,startArrow:!1,startArrowLineDash:0,startArrowLineJoin:"round",startArrowLineWidth:1,startArrowTransformOrigin:"center",startArrowType:"vee",endArrow:!1,endArrowLineDash:0,endArrowLineJoin:"round",endArrowLineWidth:1,endArrowTransformOrigin:"center",endArrowType:"vee",loopPlacement:"top",loopClockwise:!0};class Sg extends vh{constructor(a){super(Eu({style:Sg.defaultStyleProps},a))}getKeyPath(a){const[y,x]=this.getEndpoints(a),{controlPoints:b,curvePosition:z,curveOffset:ee}=a,re=this.getControlPoints(y,x,x8(z),A8(ee),b);return Fw(y,x,re)}getControlPoints(a,y,x,b,z){return(z==null?void 0:z.length)===2?z:[KA(a,y,x[0],b[0]),KA(a,y,x[1],b[1])]}}Sg.defaultStyleProps={curvePosition:.5,curveOffset:20};class Kp extends Sg{constructor(a){super(Eu({style:Kp.defaultStyleProps},a))}getControlPoints(a,y,x,b){const z=y[0]-a[0];return[[a[0]+z*x[0]+b[0],a[1]],[y[0]-z*x[1]+b[1],y[1]]]}}Kp.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Zp extends Sg{constructor(a){super(Eu({style:Zp.defaultStyleProps},a))}get ref(){return this.context.model.getRootsData()[0]}getEndpoints(a){if(this.sourceNode.id===this.ref.id)return super.getEndpoints(a);const y=uu(this.ref),x=this.sourceNode.getIntersectPoint(y,!0),b=this.targetNode.getIntersectPoint(y);return[x,b]}toRadialCoordinate(a){const y=uu(this.ref),x=cl(a,y),b=K2(qs(a,y));return[x,b]}getControlPoints(a,y,x,b){const[z,ee]=this.toRadialCoordinate(a),[re]=this.toRadialCoordinate(y),ae=re-z;return[[a[0]+(ae*x[0]+b[0])*Math.cos(ee),a[1]+(ae*x[0]+b[0])*Math.sin(ee)],[y[0]-(ae*x[1]-b[0])*Math.cos(ee),y[1]-(ae*x[1]-b[0])*Math.sin(ee)]]}}Zp.defaultStyleProps={curvePosition:.5,curveOffset:20};class Qp extends Sg{constructor(a){super(Eu({style:Qp.defaultStyleProps},a))}getControlPoints(a,y,x,b){const z=y[1]-a[1];return[[a[0],a[1]+z*x[0]+b[0]],[y[0],y[1]-z*x[1]+b[1]]]}}Qp.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Yp extends vh{constructor(a){super(Eu({style:Yp.defaultStyleProps},a))}getKeyPath(a){const[y,x]=this.getEndpoints(a);return[["M",y[0],y[1]],["L",x[0],x[1]]]}}Yp.defaultStyleProps={};const 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se[Nf(lt)]);const Fe={},Ue={},je={},Ke={},Ze={},Je=new j8;for(let lt=0;ltNf(lt));let at=ee.maximumLoops,st,ft=1/0;for(const[lt,wt]of Object.entries(Fe))Ze[lt]<=ft&&(ft=Ze[lt],st=wt);for(;Object.keys(Fe).length>0&&at>0;){const lt=Je.minId(!1);if(lt)st=Fe[lt];else break;const wt=Nf(st);if(tt.includes(wt))return U8(st,je,fe,z,Ae,me,re);delete Fe[wt],Je.remove(wt),Ue[wt]=!0;for(const Bt of Object.values(ee.directionMap)){const Vt=ko(st,[Bt.stepX,Bt.stepY]),Xt=Nf(Vt);if(Ue[Xt])continue;const vn=jw(st,Vt,je,fe);if(vn>ee.maxAllowedDirectionChange||se[Xt])continue;Fe[Xt]||(Fe[Xt]=Vt);const on=ee.penalties[vn],wn=ee.distFunc(st,Vt)+(isNaN(on)?re:on),qn=Ke[wt]+wn,yn=Ke[Xt];yn&&qn>=yn||(je[Xt]=st,Ke[Xt]=qn,Ze[Xt]=qn+Gw(Vt,Te,ee.distFunc),Je.add({id:Xt,value:Ze[Xt]}))}at-=1}return[]}class j8{constructor(){this.arr=[],this.map={},this.arr=[],this.map={}}_innerAdd(a,y){let x=0,b=y-1;for(;b-x>1;){const z=Math.floor((x+b)/2);if(this.arr[z].value>a.value)b=z;else 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ZA(y,a.radius)}getLoopPath(a){const{sourcePort:y,targetPort:x,radius:b}=a,z=this.sourceNode,ee=lh(z),re=Math.max(sf(ee),lf(ee))/4,{placement:ae,clockwise:se,dist:fe=re}=eu(this.getGraphicStyle(a),"loop");return M8(z,b,ae,se,fe,y,x)}}Xp.defaultStyleProps={radius:0,controlPoints:[],router:!1};class Jp extends vh{constructor(a){super(Eu({style:Jp.defaultStyleProps},a))}getKeyPath(a){const{curvePosition:y,curveOffset:x}=a,[b,z]=this.getEndpoints(a),ee=a.controlPoint||KA(b,z,y,x);return S8(b,z,ee)}}Jp.defaultStyleProps={curvePosition:.5,curveOffset:30};var G8=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{var z;const{key:ee,placement:re}=x;Kw(x)&&(a[z=ee||b]||(a[z]=Tf(E.getShape("key").getBounds(),re)))}),a}function Kw(E){const{r:a}=E;return!a||Number(a)===0}function mh(E){return c0(E)?E:E.getPosition()}function 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z=a.split("-"),[ee,re]=Tf(E,a),[ae,se]=b?["bottom","top"]:["top","bottom"],fe=z.includes("top")?se:z.includes("bottom")?ae:"middle",me=z.includes("left")?"right":z.includes("right")?"left":"center";return{transform:[["translate",ee+y,re+x]],textBaseline:fe,textAlign:me}}function Y8(E,a){return[[0,-E],[a*Math.cos(3*Math.PI/10),-a*Math.sin(3*Math.PI/10)],[E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],[a*Math.cos(Math.PI/10),a*Math.sin(Math.PI/10)],[E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],[0,a],[-E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],[-a*Math.cos(Math.PI/10),a*Math.sin(Math.PI/10)],[-E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],[-a*Math.cos(3*Math.PI/10),-a*Math.sin(3*Math.PI/10)]]}function X8(E,a){const y={};return y.top=[0,-E],y.left=[-E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],y["left-bottom"]=[-E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],y.bottom=[0,a],y["right-bottom"]=[E*Math.cos(3*Math.PI/10),E*Math.sin(3*Math.PI/10)],y.right=y.default=[E*Math.cos(Math.PI/10),-E*Math.sin(Math.PI/10)],y}function J8(E,a,y){const x=a/2,b=E/2,z={up:[[-b,x],[b,x],[0,-x]],left:[[-b,0],[b,x],[b,-x]],right:[[-b,x],[-b,-x],[b,0]],down:[[-b,-x],[b,-x],[0,x]]};return z[y]||z.up}function q8(E,a,y){const x=a/2,b=E/2,z={};return y==="down"?(z.bottom=z.default=[0,x],z.right=[b,-x],z.left=[-b,-x]):y==="left"?(z.top=[b,-x],z.bottom=[b,x],z.left=z.default=[-b,0]):y==="right"?(z.top=[-b,-x],z.bottom=[-b,x],z.right=z.default=[b,0]):(z.left=[-b,x],z.top=z.default=[0,-x],z.right=[b,x]),z}function Lq(E,a){return[[E/2,-a/2],[E/2,a/2],[-E/2,a/2],[-E/2,-a/2]]}function $8(E,a){return[[0,-a/2],[E/2,0],[0,a/2],[-E/2,0]]}function ek(E){return rc(E,["style","visibility"])!=="hidden"}function tk(E,a){const{zIndex:y,transform:x,transformOrigin:b,visibility:z,cursor:ee,clipPath:re,component:ae}=a,se=G8(a,["zIndex","transform","transformOrigin","visibility","cursor","clipPath","component"]);Object.assign(E.attributes,se),x&&E.setAttribute("transform",x),Oi(y)&&E.setAttribute("zIndex",y),b&&E.setAttribute("transformOrigin",b),z&&E.setAttribute("visibility",z),ee&&E.setAttribute("cursor",ee),re&&E.setAttribute("clipPath",re),ae&&E.setAttribute("component",ae)}function $A(E,a){"update"in E?E.update(a):E.attr(a)}function nk(E){return[[0,E],[E*Math.sqrt(3)/2,E/2],[E*Math.sqrt(3)/2,-E/2],[0,-E],[-E*Math.sqrt(3)/2,-E/2],[-E*Math.sqrt(3)/2,E/2]]}function rk(E){yv(E,"__to_be_destroyed__",!0)}function qp(E){return rc(E,"__to_be_destroyed__",!1)}var ak=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class $p extends kc{constructor(a,y){super(a,Object.assign({},$p.defaultOptions,y)),this.onCollapseExpand=x=>ak(this,void 0,void 0,function*(){if(!this.validate(x))return;const{target:b}=x;if(!V8(b))return;const z=b.id,{model:ee,graph:re}=this.context,ae=ee.getElementDataById(z);if(!ae)return!1;const{onCollapse:se,onExpand:fe,animation:me,align:Ae}=this.options;xc(ae)?(yield re.expandElement(z,{animation:me,align:Ae}),fe==null||fe(z)):(yield re.collapseElement(z,{animation:me,align:Ae}),se==null||se(z))}),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.on(`node:${y}`,this.onCollapseExpand),a.on(`combo:${y}`,this.onCollapseExpand)}unbindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.off(`node:${y}`,this.onCollapseExpand),a.off(`combo:${y}`,this.onCollapseExpand)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}destroy(){this.unbindEvents(),super.destroy()}}$p.defaultOptions={enable:!0,animation:!0,trigger:va.DBLCLICK,align:!0};var ey={},ik=function(E){return E=E||"g",ey[E]?ey[E]+=1:ey[E]=1,E+ey[E]},ty=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};const ok="g6-create-edge-assist-edge-id",ny="g6-create-edge-assist-node-id";class ry extends kc{constructor(a,y){super(a,Object.assign({},ry.defaultOptions,y)),this.drop=x=>ty(this,void 0,void 0,function*(){const{targetType:b}=x;["combo","node"].includes(b)&&this.source?yield this.handleCreateEdge(x):yield this.cancelEdge()}),this.handleCreateEdge=x=>ty(this,void 0,void 0,function*(){var b,z,ee;if(!this.validate(x))return;const{graph:re,canvas:ae,batch:se,element:fe}=this.context,{style:me}=this.options;if(this.source){this.createEdge(x),yield this.cancelEdge();return}se.startBatch(),ae.setCursor("crosshair"),this.source=this.getSelectedNodeIDs([x.target.id])[0];const Ae=re.getElementData(this.source);re.addNodeData([{id:ny,style:{visibility:"hidden",ports:[{key:"port-1",placement:[.5,.5]}],x:(b=Ae.style)===null||b===void 0?void 0:b.x,y:(z=Ae.style)===null||z===void 0?void 0:z.y}}]),re.addEdgeData([{id:ok,source:this.source,target:ny,style:Object.assign({pointerEvents:"none"},me)}]),yield(ee=fe.draw({animation:!1}))===null||ee===void 0?void 0:ee.finished}),this.updateAssistEdge=x=>ty(this,void 0,void 0,function*(){var b;if(!this.source)return;const{model:z,element:ee}=this.context;z.translateNodeTo(ny,[x.canvas.x,x.canvas.y]),yield(b=ee.draw({animation:!1,silence:!0}))===null||b===void 0?void 0:b.finished}),this.createEdge=x=>{var b,z;const{graph:ee}=this.context,{style:re,onFinish:ae,onCreate:se}=this.options;if(((b=x.target)===null||b===void 0?void 0:b.id)===void 0||this.source===void 0)return;const me=(z=this.getSelectedNodeIDs([x.target.id]))===null||z===void 0?void 0:z[0],Ae=`${this.source}-${me}-${ik()}`,Te=se({id:Ae,source:this.source,target:me,style:re});ee.addEdgeData([Te]),ae(Te)},this.cancelEdge=()=>ty(this,void 0,void 0,function*(){var 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Gi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;a.off(ld.CLICK,this.handleCreateEdge),a.off(fg.CLICK,this.handleCreateEdge),a.off(Df.CLICK,this.cancelEdge),a.off(op.CLICK,this.cancelEdge),a.off(ld.DRAG_START,this.handleCreateEdge),a.off(fg.DRAG_START,this.handleCreateEdge),a.off(va.POINTER_UP,this.drop),a.off(va.POINTER_MOVE,this.updateAssistEdge)}destroy(){this.unbindEvents(),super.destroy()}}ry.defaultOptions={animation:!0,enable:!0,style:{},trigger:"drag",onCreate:E=>E,onFinish:()=>{}};function sk(E,a,y){var x;return function(){var b=this,z=arguments,ee=function(){x=null,y||E.apply(b,z)},re=y&&!x;clearTimeout(x),x=setTimeout(ee,a),re&&E.apply(b,z)}}var wv=sk,Xw=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class ay extends kc{constructor(a,y){super(a,Object.assign({},ay.defaultOptions,y)),this.isDragging=!1,this.onDragStart=x=>{this.validate(x)&&(this.isDragging=!0,this.context.canvas.setCursor("grabbing"))},this.onDrag=x=>{var b,z,ee,re;if(!this.isDragging||Hl.isPinching)return;const ae=(z=(b=x.movement)===null||b===void 0?void 0:b.x)!==null&&z!==void 0?z:x.dx,se=(re=(ee=x.movement)===null||ee===void 0?void 0:ee.y)!==null&&re!==void 0?re:x.dy;ae|se&&this.translate([ae,se],!1)},this.onDragEnd=()=>{var x,b;this.isDragging=!1,this.context.canvas.setCursor(this.defaultCursor),(b=(x=this.options).onFinish)===null||b===void 0||b.call(x)},this.invokeOnFinish=wv(()=>{var x,b;(b=(x=this.options).onFinish)===null||b===void 0||b.call(x)},300),this.shortcut=new f0(a.graph),this.bindEvents(),this.defaultCursor=this.context.canvas.getConfig().cursor||"default"}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{trigger:a}=this.options;if(jl(a)){const{up:y=[],down:x=[],left:b=[],right:z=[]}=a;this.shortcut.bind(y,ee=>this.onTranslate([0,1],ee)),this.shortcut.bind(x,ee=>this.onTranslate([0,-1],ee)),this.shortcut.bind(b,ee=>this.onTranslate([1,0],ee)),this.shortcut.bind(z,ee=>this.onTranslate([-1,0],ee))}else{const{graph:y}=this.context;y.on(va.DRAG_START,this.onDragStart),y.on(va.DRAG,this.onDrag),y.on(va.DRAG_END,this.onDragEnd)}}onTranslate(a,y){return Xw(this,void 0,void 0,function*(){if(!this.validate(y))return;const{sensitivity:x}=this.options,b=x*-1;yield this.translate(Bd(a,b),this.options.animation),this.invokeOnFinish()})}translate(a,y){return Xw(this,void 0,void 0,function*(){a=this.clampByDirection(a),a=this.clampByRange(a),yield this.context.graph.translateBy(a,y)})}clampByDirection([a,y]){const{direction:x}=this.options;return x==="x"?y=0:x==="y"&&(a=0),[a,y]}clampByRange([a,y]){const{viewport:x,canvas:b}=this.context,[z,ee]=b.getSize(),[re,ae,se,fe]=Ld(this.options.range),me=[ee*re,z*ae,ee*se,z*fe],Ae=uh(dA(x.getCanvasCenter()),me),Te=qs(x.getViewportCenter(),[a,y,0]);if(!Od(Te,Ae)){const{min:[Fe,Ue],max:[je,Ke]}=Ae;(Te[0]0||Te[0]>je&&a<0)&&(a=0),(Te[1]0||Te[1]>Ke&&y<0)&&(y=0)}return[a,y]}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return typeof y=="function"?y(a):!!y}unbindEvents(){this.shortcut.unbindAll();const{graph:a}=this.context;a.off(va.DRAG_START,this.onDragStart),a.off(va.DRAG,this.onDrag),a.off(va.DRAG_END,this.onDragEnd)}destroy(){this.shortcut.destroy(),this.unbindEvents(),this.context.canvas.setCursor(this.defaultCursor),super.destroy()}}ay.defaultOptions={enable:E=>"targetType"in E?E.targetType==="canvas":!0,sensitivity:10,direction:"both",range:1/0};var Jw=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class Mv extends kc{constructor(a,y){super(a,Object.assign({},Mv.defaultOptions,y)),this.enable=!1,this.enableElements=["node","combo"],this.target=[],this.shadowOrigin=[0,0],this.hiddenEdges=[],this.isDragging=!1,this.onDrop=x=>Jw(this,void 0,void 0,function*(){var b;if(this.options.dropEffect!=="link")return;const{model:z,element:ee}=this.context,re=x.target.id;this.target.forEach(ae=>{const se=z.getParentData(ae,rl);se&&_r(se)===re&&z.refreshComboData(re),z.setParent(ae,re,rl)}),yield(b=ee==null?void 0:ee.draw({animation:!0}))===null||b===void 0?void 0:b.finished}),this.setCursor=x=>{if(this.isDragging)return;const{type:b}=x,{canvas:z}=this.context,{cursor:ee}=this.options;b===va.POINTER_ENTER?z.setCursor((ee==null?void 0:ee.grab)||"grab"):z.setCursor((ee==null?void 0:ee.default)||"default")},this.onDragStart=this.onDragStart.bind(this),this.onDrag=this.onDrag.bind(this),this.onDragEnd=this.onDragEnd.bind(this),this.onDrop=this.onDrop.bind(this),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{graph:a,canvas:y}=this.context,x=y.getLayer().getContextService().$canvas;x&&(x.addEventListener("blur",this.onDragEnd),x.addEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(b=>{a.on(`${b}:${va.DRAG_START}`,this.onDragStart),a.on(`${b}:${va.DRAG}`,this.onDrag),a.on(`${b}:${va.DRAG_END}`,this.onDragEnd),a.on(`${b}:${va.POINTER_ENTER}`,this.setCursor),a.on(`${b}:${va.POINTER_LEAVE}`,this.setCursor)}),["link"].includes(this.options.dropEffect)&&(a.on(fg.DROP,this.onDrop),a.on(Df.DROP,this.onDrop))}getSelectedNodeIDs(a){return Array.from(new Set(this.context.graph.getElementDataByState("node",this.options.state).map(y=>y.id).concat(a)))}getDelta(a){const y=this.context.graph.getZoom();return Nd([a.dx,a.dy],y)}onDragStart(a){var y;if(this.enable=this.validate(a),!this.enable)return;const{batch:x,canvas:b,graph:z}=this.context;b.setCursor(((y=this.options.cursor)===null||y===void 0?void 0:y.grabbing)||"grabbing"),this.isDragging=!0,x.startBatch();const ee=a.target.id;z.getElementState(ee).includes(this.options.state)?this.target=this.getSelectedNodeIDs([ee]):this.target=[ee],this.hideEdge(),this.context.graph.frontElement(this.target),this.options.shadow&&this.createShadow(this.target)}onDrag(a){if(!this.enable)return;const y=this.getDelta(a);this.options.shadow?this.moveShadow(y):this.moveElement(this.target,y)}onDragEnd(){var a,y,x;if(this.enable=!1,this.options.shadow){if(!this.shadow)return;this.shadow.style.visibility="hidden";const{x:ee=0,y:re=0}=this.shadow.attributes,[ae,se]=qs([+ee,+re],this.shadowOrigin);this.moveElement(this.target,[ae,se])}this.showEdges(),(y=(a=this.options).onFinish)===null||y===void 0||y.call(a,this.target);const{batch:b,canvas:z}=this.context;b.endBatch(),z.setCursor(((x=this.options.cursor)===null||x===void 0?void 0:x.grab)||"grab"),this.isDragging=!1,this.target=[]}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}moveElement(a,y){return Jw(this,void 0,void 0,function*(){const{graph:x,model:b}=this.context,{dropEffect:z}=this.options;z==="move"&&a.forEach(ee=>b.refreshComboData(ee)),x.translateElementBy(Object.fromEntries(a.map(ee=>[ee,y])),!1)})}moveShadow(a){if(!this.shadow)return;const{x:y=0,y:x=0}=this.shadow.attributes,[b,z]=a;this.shadow.attr({x:+y+b,y:+x+z})}createShadow(a){const y=eu(this.options,"shadow"),x=dv(a.map(se=>this.context.element.getElement(se).getBounds())),[b,z]=x.min;this.shadowOrigin=[b,z];const[ee,re]=sh(x),ae={width:ee,height:re,x:b,y:z};this.shadow?this.shadow.attr(Object.assign(Object.assign(Object.assign({},y),ae),{visibility:"visible"})):(this.shadow=new Du({style:Object.assign(Object.assign(Object.assign({$layer:"transient"},y),ae),{pointerEvents:"none"})}),this.context.canvas.appendChild(this.shadow))}showEdges(){this.options.shadow||this.hiddenEdges.length===0||(this.context.graph.showElement(this.hiddenEdges),this.hiddenEdges=[])}hideEdge(){const{hideEdge:a,shadow:y}=this.options;if(a==="none"||y)return;const{graph:x}=this.context;a==="all"?this.hiddenEdges=x.getEdgeData().map(_r):this.hiddenEdges=Array.from(new Set(this.target.map(b=>x.getRelatedEdgesData(b,a).map(_r)).flat())),x.hideElement(this.hiddenEdges)}unbindEvents(){const{graph:a,canvas:y}=this.context,x=y.getLayer().getContextService().$canvas;x&&(x.removeEventListener("blur",this.onDragEnd),x.removeEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(b=>{a.off(`${b}:${va.DRAG_START}`,this.onDragStart),a.off(`${b}:${va.DRAG}`,this.onDrag),a.off(`${b}:${va.DRAG_END}`,this.onDragEnd),a.off(`${b}:${va.POINTER_ENTER}`,this.setCursor),a.off(`${b}:${va.POINTER_LEAVE}`,this.setCursor)}),a.off(`combo:${va.DROP}`,this.onDrop),a.off(`canvas:${va.DROP}`,this.onDrop)}destroy(){var a;this.unbindEvents(),(a=this.shadow)===null||a===void 0||a.destroy(),super.destroy()}}Mv.defaultOptions={animation:!0,enable:E=>["node","combo"].includes(E.targetType),dropEffect:"move",state:"selected",hideEdge:"none",shadow:!1,shadowZIndex:100,shadowFill:"#F3F9FF",shadowFillOpacity:.5,shadowStroke:"#1890FF",shadowStrokeOpacity:.9,shadowLineDash:[5,5],cursor:{default:"default",grab:"grab",grabbing:"grabbing"}};var lk="*",uk=function(){function E(){this._events={}}return E.prototype.on=function(a,y,x){return this._events[a]||(this._events[a]=[]),this._events[a].push({callback:y,once:!!x}),this},E.prototype.once=function(a,y){return this.on(a,y,!0)},E.prototype.emit=function(a){for(var y=this,x=[],b=1;b{a.has(ee.id)||(a.add(ee.id),E.push(ee))})}return!1}function oy(E,a,y,x){if(y(E))return!0;a.add(E.id);for(const z of x(E.id))if(!a.has(z.id)&&oy(z,a,y,x))return!0;return!1}const qw=()=>!0;class ck{constructor(a){Al(this,"graph");Al(this,"nodeFilter");Al(this,"edgeFilter");Al(this,"cacheEnabled");Al(this,"inEdgesMap",new Map);Al(this,"outEdgesMap",new Map);Al(this,"bothEdgesMap",new Map);Al(this,"allNodesMap",new Map);Al(this,"allEdgesMap",new Map);Al(this,"clearCache",()=>{this.inEdgesMap.clear(),this.outEdgesMap.clear(),this.bothEdgesMap.clear(),this.allNodesMap.clear(),this.allEdgesMap.clear()});Al(this,"refreshCache",()=>{this.clearCache(),this.updateCache(this.graph.getAllNodes().map(a=>a.id))});Al(this,"updateCache",a=>{const y=new Set;a.forEach(x=>{const b=this.bothEdgesMap.get(x);if(b&&b.forEach(z=>y.add(z.id)),!this.hasNode(x))this.inEdgesMap.delete(x),this.outEdgesMap.delete(x),this.bothEdgesMap.delete(x),this.allNodesMap.delete(x);else{const z=this.graph.getRelatedEdges(x,"in").filter(this.edgeFilter),ee=this.graph.getRelatedEdges(x,"out").filter(this.edgeFilter),re=Array.from(new Set([...z,...ee]));re.forEach(ae=>y.add(ae.id)),this.inEdgesMap.set(x,z),this.outEdgesMap.set(x,ee),this.bothEdgesMap.set(x,re),this.allNodesMap.set(x,this.graph.getNode(x))}}),y.forEach(x=>{this.hasEdge(x)?this.allEdgesMap.set(x,this.graph.getEdge(x)):this.allEdgesMap.delete(x)})});Al(this,"handleGraphChanged",a=>{const y=new Set;a.changes.forEach(x=>{switch(x.type){case"NodeAdded":y.add(x.value.id);break;case"NodeDataUpdated":y.add(x.id);break;case"EdgeAdded":y.add(x.value.source),y.add(x.value.target);break;case"EdgeUpdated":(x.propertyName==="source"||x.propertyName==="target")&&(y.add(x.oldValue),y.add(x.newValue));break;case"EdgeDataUpdated":if(a.graph.hasEdge(x.id)){const b=a.graph.getEdge(x.id);y.add(b.source),y.add(b.target)}break;case"EdgeRemoved":y.add(x.value.source),y.add(x.value.target);break;case"NodeRemoved":y.add(x.value.id);break;default:break}}),this.updateCache(y)});this.graph=a.graph;const y=a.nodeFilter||qw,x=a.edgeFilter||qw;this.nodeFilter=y,this.edgeFilter=b=>{const{source:z,target:ee}=this.graph.getEdgeDetail(b.id);return!y(z)||!y(ee)?!1:x(b,z,ee)},a.cache==="auto"?(this.cacheEnabled=!0,this.startAutoCache()):a.cache==="manual"?this.cacheEnabled=!0:this.cacheEnabled=!1}startAutoCache(){this.refreshCache(),this.graph.on("changed",this.handleGraphChanged)}stopAutoCache(){this.graph.off("changed",this.handleGraphChanged)}checkNodeExistence(a){this.getNode(a)}hasNode(a){if(!this.graph.hasNode(a))return!1;const y=this.graph.getNode(a);return this.nodeFilter(y)}areNeighbors(a,y){return this.checkNodeExistence(a),this.getNeighbors(y).some(x=>x.id===a)}getNode(a){const y=this.graph.getNode(a);if(!this.nodeFilter(y))throw new Error("Node not found for id: "+a);return y}getRelatedEdges(a,y){return this.checkNodeExistence(a),this.cacheEnabled?y==="in"?this.inEdgesMap.get(a):y==="out"?this.outEdgesMap.get(a):this.bothEdgesMap.get(a):this.graph.getRelatedEdges(a,y).filter(this.edgeFilter)}getDegree(a,y){return this.getRelatedEdges(a,y).length}getSuccessors(a){const x=this.getRelatedEdges(a,"out").map(b=>this.getNode(b.target));return Array.from(new Set(x))}getPredecessors(a){const x=this.getRelatedEdges(a,"in").map(b=>this.getNode(b.source));return Array.from(new Set(x))}getNeighbors(a){const y=this.getPredecessors(a),x=this.getSuccessors(a);return Array.from(new Set([...y,...x]))}hasEdge(a){if(!this.graph.hasEdge(a))return!1;const y=this.graph.getEdge(a);return this.edgeFilter(y)}getEdge(a){const y=this.graph.getEdge(a);if(!this.edgeFilter(y))throw new Error("Edge not found for id: "+a);return y}getEdgeDetail(a){const y=this.getEdge(a);return{edge:y,source:this.getNode(y.source),target:this.getNode(y.target)}}hasTreeStructure(a){return this.graph.hasTreeStructure(a)}getRoots(a){return this.graph.getRoots(a).filter(this.nodeFilter)}getChildren(a,y){return this.checkNodeExistence(a),this.graph.getChildren(a,y).filter(this.nodeFilter)}getParent(a,y){this.checkNodeExistence(a);const x=this.graph.getParent(a,y);return!x||!this.nodeFilter(x)?null:x}getAllNodes(){return this.cacheEnabled?Array.from(this.allNodesMap.values()):this.graph.getAllNodes().filter(this.nodeFilter)}getAllEdges(){return this.cacheEnabled?Array.from(this.allEdgesMap.values()):this.graph.getAllEdges().filter(this.edgeFilter)}bfs(a,y,x="out"){const b={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[x];ex([this.getNode(a)],new Set,y,b)}dfs(a,y,x="out"){const b={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[x];oy(this.getNode(a),new Set,y,b)}}class Zl extends iy{constructor(y){super();Al(this,"nodeMap",new Map);Al(this,"edgeMap",new Map);Al(this,"inEdgesMap",new Map);Al(this,"outEdgesMap",new Map);Al(this,"bothEdgesMap",new Map);Al(this,"treeIndices",new Map);Al(this,"changes",[]);Al(this,"batchCount",0);Al(this,"onChanged",()=>{});Al(this,"batch",y=>{this.batchCount+=1,y(),this.batchCount-=1,this.batchCount||this.commit()});y&&(y.nodes&&this.addNodes(y.nodes),y.edges&&this.addEdges(y.edges),y.tree&&this.addTree(y.tree),y.onChanged&&(this.onChanged=y.onChanged))}commit(){const y=this.changes;this.changes=[];const x={graph:this,changes:y};this.emit("changed",x),this.onChanged(x)}reduceChanges(y){let x=[];return y.forEach(b=>{switch(b.type){case"NodeRemoved":{let z=!1;x=x.filter(ee=>{if(ee.type==="NodeAdded"){const re=ee.value.id===b.value.id;return re&&(z=!0),!re}else{if(ee.type==="NodeDataUpdated")return ee.id!==b.value.id;if(ee.type==="TreeStructureChanged")return ee.nodeId!==b.value.id}return!0}),z||x.push(b);break}case"EdgeRemoved":{let z=!1;x=x.filter(ee=>{if(ee.type==="EdgeAdded"){const re=ee.value.id===b.value.id;return re&&(z=!0),!re}else if(ee.type==="EdgeDataUpdated"||ee.type==="EdgeUpdated")return ee.id!==b.value.id;return!0}),z||x.push(b);break}case"NodeDataUpdated":case"EdgeDataUpdated":case"EdgeUpdated":{const z=x.findIndex(re=>re.type===b.type&&re.id===b.id&&(b.propertyName===void 0||re.propertyName===b.propertyName)),ee=x[z];ee?b.propertyName!==void 0?ee.newValue=b.newValue:(x.splice(z,1),x.push(b)):x.push(b);break}case"TreeStructureDetached":{x=x.filter(z=>z.type==="TreeStructureAttached"||z.type==="TreeStructureChanged"?z.treeKey!==b.treeKey:!0),x.push(b);break}case"TreeStructureChanged":{const z=x.find(ee=>ee.type==="TreeStructureChanged"&&ee.treeKey===b.treeKey&&ee.nodeId===b.nodeId);z?z.newParentId=b.newParentId:x.push(b);break}default:x.push(b);break}}),x}checkNodeExistence(y){this.getNode(y)}hasNode(y){return this.nodeMap.has(y)}areNeighbors(y,x){return this.getNeighbors(x).some(b=>b.id===y)}getNode(y){const x=this.nodeMap.get(y);if(!x)throw new Error("Node not found for id: "+y);return x}getRelatedEdges(y,x){if(this.checkNodeExistence(y),x==="in"){const b=this.inEdgesMap.get(y);return Array.from(b)}else if(x==="out"){const b=this.outEdgesMap.get(y);return Array.from(b)}else{const b=this.bothEdgesMap.get(y);return Array.from(b)}}getDegree(y,x){return this.getRelatedEdges(y,x).length}getSuccessors(y){const b=this.getRelatedEdges(y,"out").map(z=>this.getNode(z.target));return Array.from(new Set(b))}getPredecessors(y){const b=this.getRelatedEdges(y,"in").map(z=>this.getNode(z.source));return Array.from(new Set(b))}getNeighbors(y){const x=this.getPredecessors(y),b=this.getSuccessors(y);return Array.from(new Set([...x,...b]))}doAddNode(y){if(this.hasNode(y.id))throw new Error("Node already exists: "+y.id);this.nodeMap.set(y.id,y),this.inEdgesMap.set(y.id,new Set),this.outEdgesMap.set(y.id,new Set),this.bothEdgesMap.set(y.id,new Set),this.treeIndices.forEach(x=>{x.childrenMap.set(y.id,new Set)}),this.changes.push({type:"NodeAdded",value:y})}addNodes(y){this.batch(()=>{for(const x of y)this.doAddNode(x)})}addNode(y){this.addNodes([y])}doRemoveNode(y){const x=this.getNode(y),b=this.bothEdgesMap.get(y);b==null||b.forEach(z=>this.doRemoveEdge(z.id)),this.nodeMap.delete(y),this.treeIndices.forEach(z=>{var re,ae;(re=z.childrenMap.get(y))==null||re.forEach(se=>{z.parentMap.delete(se.id)});const ee=z.parentMap.get(y);ee&&((ae=z.childrenMap.get(ee.id))==null||ae.delete(x)),z.parentMap.delete(y),z.childrenMap.delete(y)}),this.bothEdgesMap.delete(y),this.inEdgesMap.delete(y),this.outEdgesMap.delete(y),this.changes.push({type:"NodeRemoved",value:x})}removeNodes(y){this.batch(()=>{y.forEach(x=>this.doRemoveNode(x))})}removeNode(y){this.removeNodes([y])}updateNodeDataProperty(y,x,b){const z=this.getNode(y);this.batch(()=>{const ee=z.data[x],re=b;z.data[x]=re,this.changes.push({type:"NodeDataUpdated",id:y,propertyName:x,oldValue:ee,newValue:re})})}mergeNodeData(y,x){this.batch(()=>{Object.entries(x).forEach(([b,z])=>{this.updateNodeDataProperty(y,b,z)})})}updateNodeData(...y){const x=y[0],b=this.getNode(x);if(typeof y[1]=="string"){this.updateNodeDataProperty(x,y[1],y[2]);return}let z;if(typeof y[1]=="function"){const ee=y[1];z=ee(b.data)}else typeof y[1]=="object"&&(z=y[1]);this.batch(()=>{const ee=b.data,re=z;b.data=z,this.changes.push({type:"NodeDataUpdated",id:x,oldValue:ee,newValue:re})})}checkEdgeExistence(y){if(!this.hasEdge(y))throw new Error("Edge not found for id: "+y)}hasEdge(y){return this.edgeMap.has(y)}getEdge(y){return this.checkEdgeExistence(y),this.edgeMap.get(y)}getEdgeDetail(y){const x=this.getEdge(y);return{edge:x,source:this.getNode(x.source),target:this.getNode(x.target)}}doAddEdge(y){if(this.hasEdge(y.id))throw new Error("Edge already exists: "+y.id);this.checkNodeExistence(y.source),this.checkNodeExistence(y.target),this.edgeMap.set(y.id,y);const x=this.inEdgesMap.get(y.target),b=this.outEdgesMap.get(y.source),z=this.bothEdgesMap.get(y.source),ee=this.bothEdgesMap.get(y.target);x.add(y),b.add(y),z.add(y),ee.add(y),this.changes.push({type:"EdgeAdded",value:y})}addEdges(y){this.batch(()=>{for(const x of y)this.doAddEdge(x)})}addEdge(y){this.addEdges([y])}doRemoveEdge(y){const x=this.getEdge(y),b=this.outEdgesMap.get(x.source),z=this.inEdgesMap.get(x.target),ee=this.bothEdgesMap.get(x.source),re=this.bothEdgesMap.get(x.target);b.delete(x),z.delete(x),ee.delete(x),re.delete(x),this.edgeMap.delete(y),this.changes.push({type:"EdgeRemoved",value:x})}removeEdges(y){this.batch(()=>{y.forEach(x=>this.doRemoveEdge(x))})}removeEdge(y){this.removeEdges([y])}updateEdgeSource(y,x){const b=this.getEdge(y);this.checkNodeExistence(x);const z=b.source,ee=x;this.outEdgesMap.get(z).delete(b),this.bothEdgesMap.get(z).delete(b),this.outEdgesMap.get(ee).add(b),this.bothEdgesMap.get(ee).add(b),b.source=x,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:y,propertyName:"source",oldValue:z,newValue:ee})})}updateEdgeTarget(y,x){const b=this.getEdge(y);this.checkNodeExistence(x);const z=b.target,ee=x;this.inEdgesMap.get(z).delete(b),this.bothEdgesMap.get(z).delete(b),this.inEdgesMap.get(ee).add(b),this.bothEdgesMap.get(ee).add(b),b.target=x,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:y,propertyName:"target",oldValue:z,newValue:ee})})}updateEdgeDataProperty(y,x,b){const z=this.getEdge(y);this.batch(()=>{const ee=z.data[x],re=b;z.data[x]=re,this.changes.push({type:"EdgeDataUpdated",id:y,propertyName:x,oldValue:ee,newValue:re})})}updateEdgeData(...y){const x=y[0],b=this.getEdge(x);if(typeof y[1]=="string"){this.updateEdgeDataProperty(x,y[1],y[2]);return}let z;if(typeof y[1]=="function"){const ee=y[1];z=ee(b.data)}else typeof y[1]=="object"&&(z=y[1]);this.batch(()=>{const ee=b.data,re=z;b.data=z,this.changes.push({type:"EdgeDataUpdated",id:x,oldValue:ee,newValue:re})})}mergeEdgeData(y,x){this.batch(()=>{Object.entries(x).forEach(([b,z])=>{this.updateEdgeDataProperty(y,b,z)})})}checkTreeExistence(y){if(!this.hasTreeStructure(y))throw new Error("Tree structure not found for treeKey: "+y)}hasTreeStructure(y){return this.treeIndices.has(y)}attachTreeStructure(y){this.treeIndices.has(y)||(this.treeIndices.set(y,{parentMap:new Map,childrenMap:new Map}),this.batch(()=>{this.changes.push({type:"TreeStructureAttached",treeKey:y})}))}detachTreeStructure(y){this.checkTreeExistence(y),this.treeIndices.delete(y),this.batch(()=>{this.changes.push({type:"TreeStructureDetached",treeKey:y})})}addTree(y,x){this.batch(()=>{this.attachTreeStructure(x);const b=[],z=Array.isArray(y)?y:[y];for(;z.length;){const ee=z.shift();b.push(ee),ee.children&&z.push(...ee.children)}this.addNodes(b),b.forEach(ee=>{var re;(re=ee.children)==null||re.forEach(ae=>{this.setParent(ae.id,ee.id,x)})})})}getRoots(y){return this.checkTreeExistence(y),this.getAllNodes().filter(x=>!this.getParent(x.id,y))}getChildren(y,x){this.checkNodeExistence(y),this.checkTreeExistence(x);const z=this.treeIndices.get(x).childrenMap.get(y);return Array.from(z||[])}getParent(y,x){return this.checkNodeExistence(y),this.checkTreeExistence(x),this.treeIndices.get(x).parentMap.get(y)||null}getAncestors(y,x){const b=[];let z=this.getNode(y),ee;for(;ee=this.getParent(z.id,x);)b.push(ee),z=ee;return b}setParent(y,x,b){var fe,me;this.checkTreeExistence(b);const z=this.treeIndices.get(b);if(!z)return;const ee=this.getNode(y),re=z.parentMap.get(y);if((re==null?void 0:re.id)===x)return;if(x==null){re&&((fe=z.childrenMap.get(re.id))==null||fe.delete(ee)),z.parentMap.delete(y);return}const ae=this.getNode(x);z.parentMap.set(y,ae),re&&((me=z.childrenMap.get(re.id))==null||me.delete(ee));let se=z.childrenMap.get(ae.id);se||(se=new Set,z.childrenMap.set(ae.id,se)),se.add(ee),this.batch(()=>{this.changes.push({type:"TreeStructureChanged",treeKey:b,nodeId:y,oldParentId:re==null?void 0:re.id,newParentId:ae.id})})}dfsTree(y,x,b){const z=ee=>this.getChildren(ee,b);return oy(this.getNode(y),new Set,x,z)}bfsTree(y,x,b){const z=ee=>this.getChildren(ee,b);return ex([this.getNode(y)],new Set,x,z)}getAllNodes(){return Array.from(this.nodeMap.values())}getAllEdges(){return Array.from(this.edgeMap.values())}bfs(y,x,b="out"){const z={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[b];return ex([this.getNode(y)],new Set,x,z)}dfs(y,x,b="out"){const z={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[b];return oy(this.getNode(y),new Set,x,z)}clone(){const y=this.getAllNodes().map(z=>BS(F0({},z),{data:F0({},z.data)})),x=this.getAllEdges().map(z=>BS(F0({},z),{data:F0({},z.data)})),b=new Zl({nodes:y,edges:x});return this.treeIndices.forEach(({parentMap:z,childrenMap:ee},re)=>{const ae=new Map;z.forEach((fe,me)=>{ae.set(me,b.getNode(fe.id))});const se=new Map;ee.forEach((fe,me)=>{se.set(me,new Set(Array.from(fe).map(Ae=>b.getNode(Ae.id))))}),b.treeIndices.set(re,{parentMap:ae,childrenMap:se})}),b}toJSON(){return JSON.stringify({nodes:this.getAllNodes(),edges:this.getAllEdges()})}createView(y){return new ck(F0({graph:this},y))}}class sy{constructor(a,y){this.context=a,this.options=y||{}}}var dk=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})},fk=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{const z=b.data._isCombo?x.combos:x.nodes,{x:ee,y:re,z:ae=0}=b.data;z==null||z.push({id:b.id,style:{x:ee,y:re,z:ae}})}),y.forEach(b=>{const{id:z,source:ee,target:re,data:{points:ae=[],controlPoints:se=ae.slice(1,ae.length-1)}}=b;x.edges.push({id:z,source:ee,target:re,style:Object.assign({},se!=null&&se.length?{controlPoints:se.map(Iu)}:{})})}),x}function vk(E,a){class y extends sy{constructor(b,z){if(super(b,z),this.instance=new E({}),this.id=this.instance.id,"stop"in this.instance&&"tick"in this.instance){const ee=this.instance;this.stop=ee.stop.bind(ee),this.tick=re=>{const ae=ee.tick(re);return ly(ae)}}}execute(b,z){return dk(this,void 0,void 0,function*(){return ly(yield this.instance.execute(this.graphData2LayoutModel(b),this.transformOptions(nc({},this.options,z))))})}transformOptions(b){const{onTick:z}=b;return z&&(b.onTick=ee=>z(ly(ee))),b}graphData2LayoutModel(b){const{nodes:z=[],edges:ee=[],combos:re=[]}=b,ae=z.map(Te=>{const Fe=_r(Te),{data:Ue,style:je,combo:Ke}=Te,Ze=fk(Te,["data","style","combo"]),Je={id:Fe,data:Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},Ue),{data:Ue}),Ke?{parentId:Ke}:{}),{style:je}),Ze)};return je!=null&&je.x&&Object.assign(Je.data,{x:je.x}),je!=null&&je.y&&Object.assign(Je.data,{y:je.y}),je!=null&&je.z&&Object.assign(Je.data,{z:je.z}),Je}),se=new Map(ae.map(Te=>[Te.id,Te])),fe=ee.filter(Te=>{const{source:Fe,target:Ue}=Te;return se.has(Fe)&&se.has(Ue)}).map(Te=>{const{source:Fe,target:Ue,data:je,style:Ke}=Te;return{id:_r(Te),source:Fe,target:Ue,data:Object.assign({},je),style:Object.assign({},Ke)}}),me=re.map(Te=>({id:_r(Te),data:Object.assign({_isCombo:!0},Te.data),style:Object.assign({},Te.style)})),Ae=new Zl({nodes:[...ae,...me],edges:fe});return a.model.model.hasTreeStructure(rl)&&(Ae.attachTreeStructure(rl),ae.forEach(Te=>{const Fe=a.model.model.getParent(Te.id,rl);Fe&&Ae.hasNode(Fe.id)&&Ae.setParent(Te.id,Fe.id,rl)})),Ae}}return y}function tx(E,a,...y){if(a in E)return E[a](...y);if("instance"in E){const x=E.instance;if(a in x)return x[a](...y)}return null}function $w(E,a){if(a in E)return E[a];if("instance"in E){const y=E.instance;if(a in y)return y[a]}return null}var mk=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class pk extends Mv{get forceLayoutInstance(){return this.context.layout.getLayoutInstance().find(a=>["d3-force","d3-force-3d"].includes(a==null?void 0:a.id))}validate(a){return this.context.layout?this.forceLayoutInstance?super.validate(a):(Ac.warn("DragElementForce only works with d3-force or d3-force-3d layout"),!1):!1}moveElement(a,y){return mk(this,void 0,void 0,function*(){const x=this.forceLayoutInstance;this.context.graph.getNodeData(a).forEach((b,z)=>{const{x:ee=0,y:re=0}=b.style||{};x&&tx(x,"setFixedPosition",a[z],[...ko([+ee,+re],y)])})})}onDragStart(a){if(this.enable=this.validate(a),!this.enable)return;this.target=this.getSelectedNodeIDs([a.target.id]),this.hideEdge(),this.context.graph.frontElement(this.target);const y=this.forceLayoutInstance;y&&$w(y,"simulation").alphaTarget(.3).restart(),this.context.graph.getNodeData(this.target).forEach(x=>{const{x:b=0,y:z=0}=x.style||{};y&&tx(y,"setFixedPosition",_r(x),[+b,+z])})}onDrag(a){if(!this.enable)return;const y=this.getDelta(a);this.moveElement(this.target,y)}onDragEnd(){const a=this.forceLayoutInstance;a&&$w(a,"simulation").alphaTarget(0),!this.options.fixed&&this.context.graph.getNodeData(this.target).forEach(y=>{a&&tx(a,"setFixedPosition",_r(y),[null,null,null])})}}var e5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class uy extends kc{constructor(a,y){super(a,Object.assign({},uy.defaultOptions,y)),this.isZoomEvent=x=>!!(x.data&&"scale"in x.data),this.relatedEdgeToUpdate=new Set,this.zoom=this.context.graph.getZoom(),this.fixElementSize=x=>e5(this,void 0,void 0,function*(){if(!this.validate(x))return;const{graph:b}=this.context,{state:z,nodeFilter:ee,edgeFilter:re,comboFilter:ae}=this.options,se=(z?b.getElementDataByState("node",z):b.getNodeData()).filter(ee),fe=(z?b.getElementDataByState("edge",z):b.getEdgeData()).filter(re),me=(z?b.getElementDataByState("combo",z):b.getComboData()).filter(ae),Ae=this.isZoomEvent(x)?this.zoom=Math.max(.01,Math.min(x.data.scale,10)):this.zoom,Te=[...se,...me];Te.length>0&&Te.forEach(Fe=>this.fixNodeLike(Fe,Ae)),this.updateRelatedEdges(),fe.length>0&&fe.forEach(Fe=>this.fixEdge(Fe,Ae))}),this.cachedStyles=new Map,this.getOriginalFieldValue=(x,b,z)=>{var ee;const re=this.cachedStyles.get(x)||[],ae=((ee=re.find(se=>se.shape===b))===null||ee===void 0?void 0:ee.style)||{};return z in ae||(ae[z]=b.attributes[z],this.cachedStyles.set(x,[...re.filter(se=>se.shape!==b),{shape:b,style:ae}])),ae[z]},this.scaleEntireElement=(x,b,z)=>{b.setLocalScale(1/z);const ee=this.cachedStyles.get(x)||[];ee.push({shape:b}),this.cachedStyles.set(x,ee)},this.scaleSpecificShapes=(x,b,z)=>{const ee=oF(x);(Array.isArray(z)?z:[z]).forEach(ae=>{const{shape:se,fields:fe}=ae,me=typeof se=="function"?se(ee):x.getShape(se);if(me){if(!fe){this.scaleEntireElement(x.id,me,b);return}fe.forEach(Ae=>{const Te=this.getOriginalFieldValue(x.id,me,Ae);Oi(Te)&&(me.style[Ae]=Te/b)})}})},this.skipIfExceedViewport=x=>{const{viewport:b}=this.context;return!(b!=null&&b.isInViewport(x.getRenderBounds(),!1,30))},this.fixNodeLike=(x,b)=>{const z=_r(x),{element:ee,model:re}=this.context,ae=ee.getElement(z);if(!ae||this.skipIfExceedViewport(ae))return;re.getRelatedEdgesData(z).forEach(me=>this.relatedEdgeToUpdate.add(_r(me)));const fe=this.options[ae.type];if(!fe){this.scaleEntireElement(z,ae,b);return}this.scaleSpecificShapes(ae,b,fe)},this.fixEdge=(x,b)=>{const z=_r(x),ee=this.context.element.getElement(z);if(!ee||this.skipIfExceedViewport(ee))return;const re=this.options.edge;if(!re){ee.style.transformOrigin="center",this.scaleEntireElement(z,ee,b);return}this.scaleSpecificShapes(ee,b,re)},this.updateRelatedEdges=()=>{const{element:x}=this.context;this.relatedEdgeToUpdate.size>0&&this.relatedEdgeToUpdate.forEach(b=>{const z=x.getElement(b);z==null||z.update({})}),this.relatedEdgeToUpdate.clear()},this.resetTransform=x=>e5(this,void 0,void 0,function*(){var b;!((b=x.data)===null||b===void 0)&&b.firstRender||(this.options.reset?this.restoreCachedStyles():this.fixElementSize({data:{scale:this.zoom}}))}),this.bindEvents()}restoreCachedStyles(){if(this.cachedStyles.size>0){this.cachedStyles.forEach(b=>{b.forEach(({shape:z,style:ee})=>{if(cf(ee))z.setLocalScale(1);else{if(this.options.state)return;Object.entries(ee).forEach(([re,ae])=>z.style[re]=ae)}})});const{graph:a,element:y}=this.context,x=Object.keys(Object.fromEntries(this.cachedStyles)).filter(b=>b&&a.getElementType(b)==="node");if(x.length>0){const b=new Set;x.forEach(z=>{a.getRelatedEdgesData(z).forEach(ee=>b.add(_r(ee)))}),b.forEach(z=>{const ee=y==null?void 0:y.getElement(z);ee==null||ee.update({})})}}}bindEvents(){const{graph:a}=this.context;a.on(ci.AFTER_DRAW,this.resetTransform),a.on(ci.AFTER_TRANSFORM,this.fixElementSize)}unbindEvents(){const{graph:a}=this.context;a.off(ci.AFTER_DRAW,this.resetTransform),a.off(ci.AFTER_TRANSFORM,this.fixElementSize)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}destroy(){this.unbindEvents(),super.destroy()}}uy.defaultOptions={enable:E=>E.data.scale<1,nodeFilter:()=>!0,edgeFilter:()=>!0,comboFilter:()=>!0,edge:[{shape:"key",fields:["lineWidth"]},{shape:"halo",fields:["lineWidth"]},{shape:"label"}],reset:!1};var yk=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class cy extends kc{constructor(a,y){super(a,Object.assign({},cy.defaultOptions,y)),this.focus=x=>yk(this,void 0,void 0,function*(){if(!this.validate(x))return;const{graph:b}=this.context;yield b.focusElement(x.target.id,this.options.animation)}),this.bindEvents()}bindEvents(){const{graph:a}=this.context;this.unbindEvents(),pg.forEach(y=>{a.on(`${y}:${va.CLICK}`,this.focus)})}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;pg.forEach(y=>{a.off(`${y}:${va.CLICK}`,this.focus)})}destroy(){this.unbindEvents(),super.destroy()}}cy.defaultOptions={animation:{easing:"ease-in",duration:500},enable:!0};class dy extends kc{constructor(a,y){super(a,Object.assign({},dy.defaultOptions,y)),this.isFrozen=!1,this.toggleFrozen=x=>{this.isFrozen=x.type==="dragstart"},this.hoverElement=x=>{if(!this.validate(x))return;const b=x.type===va.POINTER_ENTER;this.updateElementsState(x,b);const{onHover:z,onHoverEnd:ee}=this.options;b?z==null||z(x):ee==null||ee(x)},this.updateElementsState=(x,b)=>{if(!this.options.state&&!this.options.inactiveState)return;const{graph:z}=this.context,{state:ee,animation:re,inactiveState:ae}=this.options,se=this.getActiveIds(x),fe={};if(ee&&Object.assign(fe,this.getElementsState(se,ee,b)),ae){const me=W2(z.getData(),!0).filter(Ae=>!se.includes(Ae));Object.assign(fe,this.getElementsState(me,ae,b))}z.setElementState(fe,re)},this.getElementsState=(x,b,z)=>{const{graph:ee}=this.context,re={};return x.forEach(ae=>{const se=ee.getElementState(ae);z?re[ae]=se.includes(b)?se:[...se,b]:re[ae]=se.filter(fe=>fe!==b)}),re},this.bindEvents()}bindEvents(){const{graph:a}=this.context;this.unbindEvents(),pg.forEach(x=>{a.on(`${x}:${va.POINTER_ENTER}`,this.hoverElement),a.on(`${x}:${va.POINTER_LEAVE}`,this.hoverElement)});const y=this.context.canvas.document;y.addEventListener(`${va.DRAG_START}`,this.toggleFrozen),y.addEventListener(`${va.DRAG_END}`,this.toggleFrozen)}getActiveIds(a){const{graph:y}=this.context,{degree:x,direction:b}=this.options,z=a.target.id;return x?rw(y,a.targetType,z,typeof x=="function"?x(a):x,b):[z]}validate(a){if(this.destroyed||this.isFrozen||qp(a.target)||this.context.graph.isCollapsingExpanding)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;pg.forEach(x=>{a.off(`${x}:${va.POINTER_ENTER}`,this.hoverElement),a.off(`${x}:${va.POINTER_LEAVE}`,this.hoverElement)});const y=this.context.canvas.document;y.removeEventListener(`${va.DRAG_START}`,this.toggleFrozen),y.removeEventListener(`${va.DRAG_END}`,this.toggleFrozen)}destroy(){this.unbindEvents(),super.destroy()}}dy.defaultOptions={animation:!1,enable:!0,degree:0,direction:"both",state:"active",inactiveState:void 0};class Ek extends pv{onPointerDown(a){if(!super.validate(a)||!super.isKeydown()||this.points)return;const{canvas:y}=this.context;this.pathShape=new Rc({id:"g6-lasso-select",style:this.options.style}),y.appendChild(this.pathShape),this.points=[wp(a)]}onPointerMove(a){var y;if(!this.points)return;const{immediately:x,mode:b}=this.options;this.points.push(wp(a)),(y=this.pathShape)===null||y===void 0||y.setAttribute("d",tF(this.points)),x&&b==="default"&&this.points.length>2&&super.updateElementsStates(this.points)}onPointerUp(){if(this.points){if(this.points.length<2){this.clearLasso();return}super.updateElementsStates(this.points),this.clearLasso()}}clearLasso(){var a;(a=this.pathShape)===null||a===void 0||a.remove(),this.pathShape=void 0,this.points=void 0}}class fy extends kc{constructor(a,y){super(a,Object.assign({},fy.defaultOptions,y)),this.hiddenShapes=[],this.isVisible=!0,this.setElementsVisibility=(x,b,z)=>{x.filter(Boolean).forEach(ee=>{b==="hidden"&&!ee.isVisible()?this.hiddenShapes.push(ee):b==="visible"&&this.hiddenShapes.includes(ee)?this.hiddenShapes.splice(this.hiddenShapes.indexOf(ee),1):vg(ee,b,z)})},this.filterShapes=(x,b)=>{if(Gi(b))return ee=>!b(x,ee);const z=b==null?void 0:b[x];return ee=>ee.className?!(z!=null&&z.includes(ee.className)):!0},this.hideShapes=x=>{if(!this.validate(x)||!this.isVisible)return;const{element:b}=this.context,{shapes:z={}}=this.options;this.setElementsVisibility(b.getNodes(),"hidden",this.filterShapes("node",z)),this.setElementsVisibility(b.getEdges(),"hidden",this.filterShapes("edge",z)),this.setElementsVisibility(b.getCombos(),"hidden",this.filterShapes("combo",z)),this.isVisible=!1},this.showShapes=wv(x=>{if(!this.validate(x)||this.isVisible)return;const{element:b}=this.context;this.setElementsVisibility(b.getNodes(),"visible"),this.setElementsVisibility(b.getEdges(),"visible"),this.setElementsVisibility(b.getCombos(),"visible"),this.isVisible=!0},this.options.debounce),this.bindEvents()}bindEvents(){const{graph:a}=this.context;a.on(ci.BEFORE_TRANSFORM,this.hideShapes),a.on(ci.AFTER_TRANSFORM,this.showShapes)}unbindEvents(){const{graph:a}=this.context;a.off(ci.BEFORE_TRANSFORM,this.hideShapes),a.off(ci.AFTER_TRANSFORM,this.showShapes)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy()}}fy.defaultOptions={enable:!0,debounce:200,shapes:E=>E==="node"};var t5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class hy extends kc{constructor(a,y){super(a,Object.assign({},hy.defaultOptions,y)),this.onWheel=x=>t5(this,void 0,void 0,function*(){this.options.preventDefault&&x.preventDefault();const b=x.deltaX,z=x.deltaY;yield this.scroll([-b,-z],x)}),this.shortcut=new f0(a.graph),this.bindEvents()}update(a){super.update(a),this.bindEvents()}bindEvents(){var a,y;const{trigger:x}=this.options;if(this.shortcut.unbindAll(),jl(x)){(a=this.graphDom)===null||a===void 0||a.removeEventListener(va.WHEEL,this.onWheel);const{up:b=[],down:z=[],left:ee=[],right:re=[]}=x;this.shortcut.bind(b,ae=>this.scroll([0,-10],ae)),this.shortcut.bind(z,ae=>this.scroll([0,10],ae)),this.shortcut.bind(ee,ae=>this.scroll([-10,0],ae)),this.shortcut.bind(re,ae=>this.scroll([10,0],ae))}else(y=this.graphDom)===null||y===void 0||y.addEventListener(va.WHEEL,this.onWheel,{passive:!1})}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}formatDisplacement(a){const{sensitivity:y}=this.options;return a=Bd(a,y),a=this.clampByDirection(a),a=this.clampByRange(a),a}clampByDirection([a,y]){const{direction:x}=this.options;return x==="x"?y=0:x==="y"&&(a=0),[a,y]}clampByRange([a,y]){const{viewport:x,canvas:b}=this.context,[z,ee]=b.getSize(),[re,ae,se,fe]=Ld(this.options.range),me=[ee*re,z*ae,ee*se,z*fe],Ae=uh(dA(x.getCanvasCenter()),me),Te=qs(x.getViewportCenter(),[a,y,0]);if(!Od(Te,Ae)){const{min:[Fe,Ue],max:[je,Ke]}=Ae;(Te[0]0||Te[0]>je&&a<0)&&(a=0),(Te[1]0||Te[1]>Ke&&y<0)&&(y=0)}return[a,y]}scroll(a,y){return t5(this,void 0,void 0,function*(){if(!this.validate(y))return;const{onFinish:x}=this.options,b=this.context.graph,z=this.formatDisplacement(a);yield b.translateBy(z,!1),x==null||x()})}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}destroy(){var a;this.shortcut.destroy(),(a=this.graphDom)===null||a===void 0||a.removeEventListener(va.WHEEL,this.onWheel),super.destroy()}}hy.defaultOptions={enable:!0,sensitivity:1,preventDefault:!0,range:1/0};var n5=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class gy extends kc{constructor(a,y){super(a,Object.assign({},gy.defaultOptions,y)),this.zoom=(x,b,z)=>n5(this,void 0,void 0,function*(){if(!this.validate(b))return;const{graph:ee}=this.context;let re;"viewport"in b&&(re=Iu(b.viewport));const{sensitivity:ae,onFinish:se}=this.options,fe=1+bl(x,-50,50)*ae/100,me=ee.getZoom();yield ee.zoomTo(me*fe,z,re),se==null||se()}),this.onReset=()=>n5(this,void 0,void 0,function*(){yield this.context.graph.zoomTo(1,this.options.animation)}),this.preventDefault=x=>{this.options.preventDefault&&x.preventDefault()},this.shortcut=new f0(a.graph),this.bindEvents()}update(a){super.update(a),this.bindEvents()}bindEvents(){const{trigger:a}=this.options;if(this.shortcut.unbindAll(),Array.isArray(a))if(a.includes(va.PINCH))this.shortcut.bind([va.PINCH],y=>{this.zoom(y.scale,y,!1)});else{const y=this.context.canvas.getContainer();y==null||y.addEventListener(va.WHEEL,this.preventDefault),this.shortcut.bind([...a,va.WHEEL],x=>{const{deltaX:b,deltaY:z}=x;this.zoom(-(z!=null?z:b),x,!1)})}if(typeof a=="object"){const{zoomIn:y=[],zoomOut:x=[],reset:b=[]}=a;this.shortcut.bind(y,z=>this.zoom(10,z,this.options.animation)),this.shortcut.bind(x,z=>this.zoom(-10,z,this.options.animation)),this.shortcut.bind(b,this.onReset)}}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}destroy(){var a;this.shortcut.destroy(),(a=this.context.canvas.getContainer())===null||a===void 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fx{constructor(a={}){this.options=a,this.id="concentric",this.options=Object.assign(Object.assign({},c9),a)}execute(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){return this.genericConcentricLayout(!1,a,y)})}assign(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){yield this.genericConcentricLayout(!0,a,y)})}genericConcentricLayout(a,y,x){return(0,kt.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),{center:z,width:ee,height:re,sortBy:ae,maxLevelDiff:se,sweep:fe,clockwise:me,equidistant:Ae,preventOverlap:Te,startAngle:Fe=3/2*Math.PI,nodeSize:Ue,nodeSpacing:je}=b,Ke=y.getAllNodes(),Ze=y.getAllEdges(),Je=!ee&&typeof window!="undefined"?window.innerWidth:ee,tt=!re&&typeof window!="undefined"?window.innerHeight:re,at=z||[Je/2,tt/2];if(!(Ke!=null&&Ke.length)||Ke.length===1)return Pg(y,a,at);const st=[];let ft,lt=0;Rf(Ue)?ft=Math.max(Ue[0],Ue[1]):Gi(Ue)?(ft=-1/0,Ke.forEach(En=>{const 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En=vn.length>0&&vn[0].nodes.length>1,or=(Math.min(Je,tt)/2-wn)/(vn.length+(En?1:0));wn=Math.min(wn,or)}let qn=0;if(vn.forEach(En=>{const Pn=fe===void 0?2*Math.PI-2*Math.PI/En.nodes.length:fe;if(En.dTheta=Pn/Math.max(1,En.nodes.length-1),En.nodes.length>1&&Te){const or=Math.cos(En.dTheta)-Math.cos(0),xn=Math.sin(En.dTheta)-Math.sin(0),yr=Math.sqrt(wn*wn/(or*or+xn*xn));qn=Math.max(yr,qn)}En.r=qn,qn+=wn}),Ae){let En=0,Pn=0;for(let or=0;or{xn===0&&(Pn=or.r||0),or.r=Pn,Pn+=En})}return vn.forEach(En=>{const Pn=En.dTheta||0,or=En.r||0;En.nodes.forEach((xn,yr)=>{const na=Fe+(me?1:-1)*Pn*yr;xn.data.x=at[0]+or*Math.cos(na),xn.data.y=at[1]+or*Math.sin(na)})}),a&&st.forEach(En=>y.mergeNodeData(En.id,{x:En.data.x,y:En.data.y})),{nodes:st,edges:Ze}})}}function d9(E){const a=+this._x.call(null,E),y=+this._y.call(null,E);return W5(this.cover(a,y),a,y,E)}function W5(E,a,y,x){if(isNaN(a)||isNaN(y))return E;var b,z=E._root,ee={data:x},re=E._x0,ae=E._y0,se=E._x1,fe=E._y1,me,Ae,Te,Fe,Ue,je,Ke,Ze;if(!z)return E._root=ee,E;for(;z.length;)if((Ue=a>=(me=(re+se)/2))?re=me:se=me,(je=y>=(Ae=(ae+fe)/2))?ae=Ae:fe=Ae,b=z,!(z=z[Ke=je<<1|Ue]))return b[Ke]=ee,E;if(Te=+E._x.call(null,z.data),Fe=+E._y.call(null,z.data),a===Te&&y===Fe)return ee.next=z,b?b[Ke]=ee:E._root=ee,E;do b=b?b[Ke]=new Array(4):E._root=new Array(4),(Ue=a>=(me=(re+se)/2))?re=me:se=me,(je=y>=(Ae=(ae+fe)/2))?ae=Ae:fe=Ae;while((Ke=je<<1|Ue)===(Ze=(Fe>=Ae)<<1|Te>=me));return b[Ze]=z,b[Ke]=ee,E}function f9(E){var a,y,x=E.length,b,z,ee=new Array(x),re=new Array(x),ae=1/0,se=1/0,fe=-1/0,me=-1/0;for(y=0;yfe&&(fe=b),zme&&(me=z));if(ae>fe||se>me)return this;for(this.cover(ae,se).cover(fe,me),y=0;yE||E>=b||x>a||a>=z;)switch(se=(afe||(re=Fe.y0)>me||(ae=Fe.x1)=Ke)<<1|E>=je)&&(Fe=Ae[Ae.length-1],Ae[Ae.length-1]=Ae[Ae.length-1-Ue],Ae[Ae.length-1-Ue]=Fe)}else{var 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Array(8),(tt=a>=(Fe=(ae+me)/2))?ae=Fe:me=Fe,(at=y>=(Ue=(se+Ae)/2))?se=Ue:Ae=Ue,(st=x>=(je=(fe+Te)/2))?fe=je:Te=je;while((ft=st<<2|at<<1|tt)===(lt=(Je>=je)<<2|(Ze>=Ue)<<1|Ke>=Fe));return z[lt]=ee,z[ft]=re,E}function D9(E){Array.isArray(E)||(E=Array.from(E));const a=E.length,y=new Float64Array(a),x=new Float64Array(a),b=new Float64Array(a);let z=1/0,ee=1/0,re=1/0,ae=-1/0,se=-1/0,fe=-1/0;for(let me=0,Ae,Te,Fe,Ue;meae&&(ae=Te),Fese&&(se=Fe),Uefe&&(fe=Ue));if(z>ae||ee>se||re>fe)return this;this.cover(z,ee,re).cover(ae,se,fe);for(let me=0;meE||E>=ee||b>a||a>=re||z>y||y>=ae;)switch(Ae=(yFe||(se=Je.y0)>Ue||(fe=Je.z0)>je||(me=Je.x1)=ft)<<2|(a>=st)<<1|E>=at)&&(Je=Ke[Ke.length-1],Ke[Ke.length-1]=Ke[Ke.length-1-tt],Ke[Ke.length-1-tt]=Je)}else{var lt=E-+this._x.call(null,Ze.data),wt=a-+this._y.call(null,Ze.data),Bt=y-+this._z.call(null,Ze.data),Vt=lt*lt+wt*wt+Bt*Bt;if(VtMath.sqrt(Oh(E-x,2)+Oh(a-b,2)+Oh(y-z,2));function N9(E,a,y,x){const b=[],z=E-x,ee=a-x,re=y-x,ae=E+x,se=a+x,fe=y+x;return this.visit((me,Ae,Te,Fe,Ue,je,Ke)=>{if(!me.length)do{const Ze=me.data;B9(E,a,y,this._x(Ze),this._y(Ze),this._z(Ze))<=x&&b.push(Ze)}while(me=me.next);return Ae>ae||Te>se||Fe>fe||Ue=(Ue=(ee+se)/2))?ee=Ue:se=Ue,(Je=Te>=(je=(re+fe)/2))?re=je:fe=je,(tt=Fe>=(Ke=(ae+me)/2))?ae=Ke:me=Ke,a=y,!(y=y[at=tt<<2|Je<<1|Ze]))return this;if(!y.length)break;(a[at+1&7]||a[at+2&7]||a[at+3&7]||a[at+4&7]||a[at+5&7]||a[at+6&7]||a[at+7&7])&&(x=a,st=at)}for(;y.data!==E;)if(b=y,!(y=y.next))return this;return(z=y.next)&&delete y.next,b?(z?b.next=z:delete b.next,this):a?(z?a[at]=z:delete a[at],(y=a[0]||a[1]||a[2]||a[3]||a[4]||a[5]||a[6]||a[7])&&y===(a[7]||a[6]||a[5]||a[4]||a[3]||a[2]||a[1]||a[0])&&!y.length&&(x?x[st]=y:this._root=y),this):(this._root=z,this)}function _9(E){for(var a=0,y=E.length;a{const{nodeStrength:Ae,x:Te,y:Fe,z:Ue,size:je}=fe.data;return{x:Te,y:Fe,z:Ue,size:je,index:me,id:fe.id,vx:0,vy:0,vz:0,weight:z*Ae}}),ae=(b===2?my(re,fe=>fe.x,fe=>fe.y):V5(re,fe=>fe.x,fe=>fe.y,fe=>fe.z)).visitAfter(Y9),se=new Map;return re.forEach(fe=>{se.set(fe.id,fe),J9(fe,ae,b)}),re.map((fe,me)=>{const{id:Ae,data:Te}=ee[me],{mass:Fe=1}=Te;x[Ae]={x:fe.vx/Fe,y:fe.vy/Fe,z:fe.vz/Fe}}),x}function Y9(E){let a=0,y=0,x=0,b=0,z=0;const ee=E.length;if(ee){for(let re=0;re{var re;if(((re=E.data)===null||re===void 0?void 0:re.id)===z.id)return;const ae=[y,x,b][ee-1],se=z.x-E.x||vx,fe=z.y-E.y||vx,me=z.z-E.z||vx,Ae=[se,fe,me],Te=ae-a;let Fe=0;for(let Ke=0;KeX9(x,b,z,ee,re,E,y))}const q9={dimensions:2,maxIteration:500,gravity:10,factor:1,edgeStrength:50,nodeStrength:1e3,coulombDisScale:.005,damping:.9,maxSpeed:200,minMovement:.4,interval:.02,linkDistance:200,clusterNodeStrength:20,preventOverlap:!0,distanceThresholdMode:"mean"};class K5{constructor(a={}){this.options=a,this.id="force",this.timeInterval=0,this.judgingDistance=0,this.running=!1,this.options=Object.assign(Object.assign({},q9),a)}execute(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){return this.genericForceLayout(!1,a,y)})}assign(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){yield this.genericForceLayout(!0,a,y)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(a=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let x=0;(this.judgingDistance>this.lastOptions.minMovement||x<1)&&xthis.lastGraph.mergeNodeData(x.id,{x:x.data.x,y:x.data.y,z:this.options.dimensions===3?x.data.z:void 0})),y}genericForceLayout(a,y,x){return(0,kt.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),z=y.getAllNodes(),ee=y.getAllEdges(),re=this.formatOptions(b,y),{dimensions:ae,width:se,height:fe,nodeSize:me,getMass:Ae,nodeStrength:Te,edgeStrength:Fe,linkDistance:Ue}=re,je=z.map((lt,wt)=>Object.assign(Object.assign({},lt),{data:Object.assign(Object.assign({},lt.data),{x:Oi(lt.data.x)?lt.data.x:Math.random()*se,y:Oi(lt.data.y)?lt.data.y:Math.random()*fe,z:Oi(lt.data.z)?lt.data.z:Math.random()*Math.sqrt(se*fe),size:me(lt)||30,mass:Ae(lt),nodeStrength:Te(lt)})})),Ke=ee.map(lt=>Object.assign(Object.assign({},lt),{data:Object.assign(Object.assign({},lt.data),{edgeStrength:Fe(lt),linkDistance:Ue(lt,y.getNode(lt.source),y.getNode(lt.target))})}));if(!(z!=null&&z.length))return this.lastResult={nodes:[],edges:ee},{nodes:[],edges:ee};const Ze={};z.forEach((lt,wt)=>{Ze[lt.id]={x:0,y:0,z:0}});const Je=new Zl({nodes:je,edges:Ke});this.formatCentripetal(re,Je);const{maxIteration:tt,minMovement:at,onTick:st}=re;if(this.lastLayoutNodes=je,this.lastLayoutEdges=Ke,this.lastAssign=a,this.lastGraph=y,this.lastCalcGraph=Je,this.lastOptions=re,this.lastVelMap=Ze,typeof window=="undefined")return;let ft=0;return new Promise(lt=>{this.timeInterval=window.setInterval(()=>{(!z||!this.running)&<({nodes:mx(y,je),edges:ee}),this.runOneStep(Je,y,ft,Ze,re),this.updatePosition(y,Je,Ze,re),a&&je.forEach(wt=>y.mergeNodeData(wt.id,{x:wt.data.x,y:wt.data.y,z:ae===3?wt.data.z:void 0})),st==null||st({nodes:mx(y,je),edges:ee}),ft++,(ft>=tt||this.judgingDistance{let se=1;Oi(ae==null?void 0:ae.data.mass)&&(se=ae==null?void 0:ae.data.mass);const fe=y.getDegree(ae.id,"both");return!fe||fe<5?se:fe*5*se}),x.nodeSize=cx(a.nodeSize,a.nodeSpacing);const re=a.linkDistance?Cg(1,a.linkDistance):ae=>1+x.nodeSize(y.getNode(ae.source))+x.nodeSize(y.getNode(ae.target));return x.linkDistance=re,x.nodeStrength=Cg(1,a.nodeStrength),x.edgeStrength=Cg(1,a.edgeStrength),x}formatCentripetal(a,y){const{dimensions:x,centripetalOptions:b,center:z,clusterNodeStrength:ee,leafCluster:re,clustering:ae,nodeClusterBy:se}=a,fe=y.getAllNodes(),me=b||{leaf:2,single:2,others:1,center:Ke=>({x:z[0],y:z[1],z:x===3?z[2]:void 0})};typeof ee!="function"&&(a.clusterNodeStrength=Ke=>ee);let Ae,Te;if(re&&se&&(Ae=Z5(y,se),Te=Array.from(new Set(fe==null?void 0:fe.map(Ke=>Ke.data[se])))||[],a.centripetalOptions=Object.assign(me,{single:100,leaf:Ke=>{const{siblingLeaves:Ze,sameTypeLeaves:Je}=Ae[Ke.id]||{};return(Je==null?void 0:Je.length)===(Ze==null?void 0:Ze.length)||(Te==null?void 0:Te.length)===1?1:a.clusterNodeStrength(Ke)},others:1,center:Ke=>{const Ze=y.getDegree(Ke.id,"both");if(!Ze)return{x:100,y:100,z:0};let Je;if(Ze===1){const{sameTypeLeaves:tt=[]}=Ae[Ke.id]||{};tt.length===1?Je=void 0:tt.length>1&&(Je=Q5(tt))}else Je=void 0;return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})),ae&&se){Ae||(Ae=Z5(y,se)),Te||(Te=Array.from(new Set(fe.map(Ze=>Ze.data[se])))),Te=Te.filter(Ze=>Ze!==void 0);const Ke={};Te.forEach(Ze=>{const Je=fe.filter(tt=>tt.data[se]===Ze).map(tt=>y.getNode(tt.id));Ke[Ze]=Q5(Je)}),a.centripetalOptions=Object.assign(me,{single:Ze=>a.clusterNodeStrength(Ze),leaf:Ze=>a.clusterNodeStrength(Ze),others:Ze=>a.clusterNodeStrength(Ze),center:Ze=>{const Je=Ke[Ze.data[se]];return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})}const{leaf:Fe,single:Ue,others:je}=a.centripetalOptions||{};Fe&&typeof Fe!="function"&&(a.centripetalOptions.leaf=()=>Fe),Ue&&typeof Ue!="function"&&(a.centripetalOptions.single=()=>Ue),je&&typeof je!="function"&&(a.centripetalOptions.others=()=>je)}runOneStep(a,y,x,b,z){const ee={},re=a.getAllNodes(),ae=a.getAllEdges();if(!(re!=null&&re.length))return;const{monitor:se}=z;if(this.calRepulsive(a,ee,z),ae&&this.calAttractive(a,ee,z),this.calGravity(a,y,ee,z),this.updateVelocity(a,ee,b,z),se){const fe=this.calTotalEnergy(ee,re);se({energy:fe,nodes:y.getAllNodes(),edges:y.getAllEdges(),iterations:x})}}calTotalEnergy(a,y){if(!(y!=null&&y.length))return 0;let x=0;return y.forEach((b,z)=>{const ee=a[b.id].x,re=a[b.id].y,ae=this.options.dimensions===3?a[b.id].z:0,se=ee*ee+re*re+ae*ae,{mass:fe=1}=b.data;x+=fe*se*.5}),x}calRepulsive(a,y,x){const{dimensions:b,factor:z,coulombDisScale:ee}=x;Q9(a,z,ee*ee,y,b)}calAttractive(a,y,x){const{dimensions:b,nodeSize:z}=x;a.getAllEdges().forEach((ee,re)=>{const{source:ae,target:se}=ee,fe=a.getNode(ae),me=a.getNode(se);if(!fe||!me)return;let Ae=me.data.x-fe.data.x,Te=me.data.y-fe.data.y,Fe=b===3?me.data.z-fe.data.z:0;!Ae&&!Te&&(Ae=Math.random()*.01,Te=Math.random()*.01,b===3&&!Fe&&(Fe=Math.random()*.01));const Ue=Math.sqrt(Ae*Ae+Te*Te+Fe*Fe);if(Ue{const{id:Ue,data:je}=Fe,{mass:Ke,x:Ze,y:Je,z:tt}=je,at=y.getNode(Ue);let st=0,ft=0,lt=0,wt=Ae;const Bt=a.getDegree(Ue,"in"),Vt=a.getDegree(Ue,"out"),Xt=a.getDegree(Ue,"both"),vn=z==null?void 0:z(at,Xt);if(vn){const[on,wn,qn]=vn;st=Ze-on,ft=Je-wn,wt=qn}else st=Ze-me[0],ft=Je-me[1],lt=tt-me[2];if(wt&&(x[Ue].x-=wt*st/Ke,x[Ue].y-=wt*ft/Ke,x[Ue].z-=wt*lt/Ke),Te){const{leaf:on,single:wn,others:qn,center:yn}=Te,{x:En,y:Pn,z:or,centerStrength:xn}=(yn==null?void 0:yn(at,re,ae,se,fe))||{x:0,y:0,z:0,centerStrength:0};if(!Oi(En)||!Oi(Pn))return;const yr=(Ze-En)/Ke,na=(Je-Pn)/Ke,ea=(tt-or)/Ke;if(xn&&(x[Ue].x-=xn*yr,x[Ue].y-=xn*na,x[Ue].z-=xn*ea),Xt===0){const Or=wn(at);if(!Or)return;x[Ue].x-=Or*yr,x[Ue].y-=Or*na,x[Ue].z-=Or*ea;return}if(Bt===0||Vt===0){const Or=on(at,re,ae);if(!Or)return;x[Ue].x-=Or*yr,x[Ue].y-=Or*na,x[Ue].z-=Or*ea;return}const jr=qn(at);if(!jr)return;x[Ue].x-=jr*yr,x[Ue].y-=jr*na,x[Ue].z-=jr*ea}})}updateVelocity(a,y,x,b){const{damping:z,maxSpeed:ee,interval:re,dimensions:ae}=b,se=a.getAllNodes();se!=null&&se.length&&se.forEach(fe=>{const{id:me}=fe;let Ae=(x[me].x+y[me].x*re)*z||.01,Te=(x[me].y+y[me].y*re)*z||.01,Fe=ae===3?(x[me].z+y[me].z*re)*z||.01:0;const Ue=Math.sqrt(Ae*Ae+Te*Te+Fe*Fe);if(Ue>ee){const je=ee/Ue;Ae=je*Ae,Te=je*Te,Fe=je*Fe}x[me]={x:Ae,y:Te,z:Fe}})}updatePosition(a,y,x,b){const{distanceThresholdMode:z,interval:ee,dimensions:re}=b,ae=y.getAllNodes();if(!(ae!=null&&ae.length)){this.judgingDistance=0;return}let se=0;z==="max"?this.judgingDistance=-1/0:z==="min"&&(this.judgingDistance=1/0),ae.forEach(fe=>{const{id:me}=fe,Ae=a.getNode(me);if(Oi(Ae.data.fx)&&Oi(Ae.data.fy)){y.mergeNodeData(me,{x:Ae.data.fx,y:Ae.data.fy,z:re===3?Ae.data.fz:void 0});return}const Te=x[me].x*ee,Fe=x[me].y*ee,Ue=re===3?x[me].z*ee:0;y.mergeNodeData(me,{x:fe.data.x+Te,y:fe.data.y+Fe,z:fe.data.z+Ue});const je=Math.sqrt(Te*Te+Fe*Fe+Ue*Ue);switch(z){case"max":this.judgingDistanceje&&(this.judgingDistance=je);break;default:se=se+je;break}}),(!z||z==="mean")&&(this.judgingDistance=se/ae.length)}}const Z5=(E,a)=>{const y=E.getAllNodes();if(!(y!=null&&y.length))return{};const x={};return y.forEach((b,z)=>{E.getDegree(b.id,"both")===1&&(x[b.id]=$9(E,"leaf",b,a))}),x},$9=(E,a,y,x)=>{const b=E.getDegree(y.id,"in"),z=E.getDegree(y.id,"out");let ee=y,re=[];b===0?(ee=E.getSuccessors(y.id)[0],re=E.getNeighbors(ee.id)):z===0&&(ee=E.getPredecessors(y.id)[0],re=E.getNeighbors(ee.id)),re=re.filter(se=>E.getDegree(se.id,"in")===0||E.getDegree(se.id,"out")===0);const ae=ez(E,a,x,y,re);return{coreNode:ee,siblingLeaves:re,sameTypeLeaves:ae}},ez=(E,a,y,x,b)=>{const z=x.data[y]||"";let ee=(b==null?void 0:b.filter(re=>re.data[y]===z))||[];return a==="leaf"&&(ee=ee.filter(re=>E.getDegree(re.id,"in")===0||E.getDegree(re.id,"out")===0)),ee},Q5=E=>{const 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y=yh.mul(yh.pow(E,2),-.5),x=y.mean("row"),b=y.mean("column"),z=y.mean();y.add(z).subRowVector(x).subColumnVector(b);const ee=new Y5(y),re=yh.sqrt(ee.diagonalMatrix).diagonal();return ee.leftSingularVectors.toJSON().map(ae=>yh.mul([ae],[re]).toJSON()[0].splice(0,2))};function yx(E){return!!E.tick&&!!E.stop}const oz={gForce:!0,force2:!0,d3force:!0,fruchterman:!0,forceAtlas2:!0,force:!0,"graphin-force":!0},sz={center:[0,0],comboPadding:10,treeKey:"combo"};class lz{constructor(a={}){this.options=a,this.id="comboCombined",this.options=Object.assign(Object.assign({},sz),a)}execute(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){return this.genericComboCombinedLayout(!1,a,y)})}assign(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){yield this.genericComboCombinedLayout(!0,a,y)})}genericComboCombinedLayout(a,y,x){return(0,kt.mG)(this,void 0,void 0,function*(){const b=this.initVals(Object.assign(Object.assign({},this.options),x)),{center:z,treeKey:ee,outerLayout:re}=b,ae=y.getAllNodes().filter(lt=>!lt.data._isCombo),se=y.getAllNodes().filter(lt=>lt.data._isCombo),fe=y.getAllEdges(),me=ae==null?void 0:ae.length;if(!me||me===1)return Pg(y,a,z);const Ae=[],Te=new Map;ae.forEach(lt=>{Te.set(lt.id,lt)});const Fe=new Map;se.forEach(lt=>{Fe.set(lt.id,lt)});const Ue=new Map,je=this.getInnerGraphs(y,ee,Te,Fe,fe,b,Ue);yield Promise.all(je);const Ke=new Map,Ze=[],Je=new Map;let tt=!0;y.getRoots(ee).forEach(lt=>{const wt=Ue.get(lt.id),Bt=Fe.get(lt.id)||Te.get(lt.id),Vt={id:lt.id,data:Object.assign(Object.assign({},lt.data),{x:wt.data.x||Bt.data.x,y:wt.data.y||Bt.data.y,fx:wt.data.fx||Bt.data.fx,fy:wt.data.fy||Bt.data.fy,mass:wt.data.mass||Bt.data.mass,size:wt.data.size})};Ze.push(Vt),Ke.set(lt.id,!0),!isNaN(Vt.data.x)&&Vt.data.x!==0&&!isNaN(Vt.data.y)&&Vt.data.y!==0?tt=!1:(Vt.data.x=Math.random()*100,Vt.data.y=Math.random()*100),px(y,[lt],Xt=>{Xt.id!==lt.id&&Je.set(Xt.id,lt.id)},"TB",ee)});const at=[];fe.forEach(lt=>{const wt=Je.get(lt.source)||lt.source,Bt=Je.get(lt.target)||lt.target;wt!==Bt&&Ke.has(wt)&&Ke.has(Bt)&&at.push({id:lt.id,source:wt,target:Bt,data:{}})});let st;if(Ze!=null&&Ze.length){if(Ze.length===1)Ze[0].data.x=z[0],Ze[0].data.y=z[1];else{const lt=new Zl({nodes:Ze,edges:at}),wt=re||new K5;tt&&oz[wt.id]&&(yield(Ze.length<100?new $5:new fx).assign(lt));const Bt=Object.assign({center:z,kg:5,preventOverlap:!0,animate:!1},wt.id==="force"?{gravity:1,factor:4,linkDistance:(Vt,Xt,vn)=>{const on=Math.max(...Xt.data.size)||32,wn=Math.max(...vn.data.size)||32;return on/2+wn/2+200}}:{});st=yield eM(wt,lt,Bt)}Ue.forEach(lt=>{var wt;const Bt=st.nodes.find(vn=>vn.id===lt.id);if(Bt){const{x:vn,y:on}=Bt.data;lt.data.visited=!0,lt.data.x=vn,lt.data.y=on,Ae.push({id:lt.id,data:{x:vn,y:on}})}const{x:Vt,y:Xt}=lt.data;(wt=lt.data.nodes)===null||wt===void 0||wt.forEach(vn=>{Ae.push({id:vn.id,data:{x:vn.data.x+Vt,y:vn.data.y+Xt}})})}),Ue.forEach(({data:lt})=>{const{x:wt,y:Bt,visited:Vt,nodes:Xt}=lt;Xt==null||Xt.forEach(vn=>{if(!Vt){const on=Ae.find(wn=>wn.id===vn.id);on.data.x+=wt||0,on.data.y+=Bt||0}})})}return a&&Ae.forEach(lt=>{y.mergeNodeData(lt.id,{x:lt.data.x,y:lt.data.y})}),{nodes:Ae,edges:fe}})}initVals(a){const y=Object.assign({},a),{nodeSize:x,spacing:b,comboPadding:z}=a;let ee,re;if(Oi(b)?re=()=>b:Gi(b)?re=b:re=()=>0,y.spacing=re,!x)ee=se=>{const fe=re(se);return se.size?Rf(se.size)?((se.size[0]>se.size[1]?se.size[0]:se.size[1])+fe)/2:jl(se.size)?((se.size.width>se.size.height?se.size.width:se.size.height)+fe)/2:(se.size+fe)/2:32+fe/2};else if(Gi(x))ee=se=>{const fe=x(se),me=re(se);return Rf(se.size)?((se.size[0]>se.size[1]?se.size[0]:se.size[1])+me)/2:((fe||32)+me)/2};else if(Rf(x)){const fe=(x[0]>x[1]?x[0]:x[1])/2;ee=me=>fe+re(me)/2}else{const se=x/2;ee=fe=>se+re(fe)/2}y.nodeSize=ee;let ae;return Oi(z)?ae=()=>z:Rf(z)?ae=()=>Math.max.apply(null,z):Gi(z)?ae=z:ae=()=>0,y.comboPadding=ae,y}getInnerGraphs(a,y,x,b,z,ee,re){const{nodeSize:ae,comboPadding:se,spacing:fe,innerLayout:me}=ee,Ae=me||new fx({}),Te={center:[0,0],preventOverlap:!0,nodeSpacing:fe},Fe=[],Ue=je=>{let Ke=(se==null?void 0:se(je))||10;return Rf(Ke)&&(Ke=Math.max(...Ke)),{size:Ke?[Ke*2,Ke*2]:[30,30],padding:Ke}};return a.getRoots(y).forEach(je=>{re.set(je.id,{id:je.id,data:{nodes:[],size:Ue(je).size}});let Ke=Promise.resolve();px(a,[je],Ze=>{var Je;if(!Ze.data._isCombo)return;const{size:tt,padding:at}=Ue(Ze);if(!(!((Je=a.getChildren(Ze.id,y))===null||Je===void 0)&&Je.length))re.set(Ze.id,{id:Ze.id,data:Object.assign(Object.assign({},Ze.data),{size:tt})});else{const st=re.get(Ze.id);re.set(Ze.id,{id:Ze.id,data:Object.assign({nodes:[]},st==null?void 0:st.data)});const ft=new Map,lt=a.getChildren(Ze.id,y).map(Vt=>{if(Vt.data._isCombo)return re.has(Vt.id)||re.set(Vt.id,{id:Vt.id,data:Object.assign({},Vt.data)}),ft.set(Vt.id,!0),re.get(Vt.id);const Xt=x.get(Vt.id)||b.get(Vt.id);return ft.set(Vt.id,!0),{id:Vt.id,data:Object.assign(Object.assign({},Xt.data),Vt.data)}}),wt={nodes:lt,edges:z.filter(Vt=>ft.has(Vt.source)&&ft.has(Vt.target))};let Bt=1/0;lt.forEach(Vt=>{var Xt;let{size:vn}=Vt.data;vn||(vn=((Xt=re.get(Vt.id))===null||Xt===void 0?void 0:Xt.data.size)||(ae==null?void 0:ae(Vt))||[30,30]),Oi(vn)&&(vn=[vn,vn]);const[on,wn]=vn;Bt>on&&(Bt=on),Bt>wn&&(Bt=wn),Vt.data.size=vn}),Ke=Ke.then(()=>(0,kt.mG)(this,void 0,void 0,function*(){const Vt=new Zl(wt);yield eM(Ae,Vt,Te,!0);const{minX:Xt,minY:vn,maxX:on,maxY:wn}=nz(lt),qn={x:(on+Xt)/2,y:(wn+vn)/2};wt.nodes.forEach(En=>{En.data.x-=qn.x,En.data.y-=qn.y});const yn=[Math.max(on-Xt,Bt)+at*2,Math.max(wn-vn,Bt)+at*2];re.get(Ze.id).data.size=yn,re.get(Ze.id).data.nodes=lt}))}return!0},"BT",y),Fe.push(Ke)}),Fe}}function eM(E,a,y,x){var b;return(0,kt.mG)(this,void 0,void 0,function*(){return yx(E)?(E.execute(a,y),E.stop(),E.tick((b=y.iterations)!==null&&b!==void 0?b:300)):x?yield E.assign(a,y):yield E.execute(a,y)})}function cu(E){return function(){return E}}function Eh(E){return(E()-.5)*1e-6}function uz(E){return E.index}function tM(E,a){var y=E.get(a);if(!y)throw new Error("node not found: "+a);return y}function cz(E){var a=uz,y=me,x,b=cu(30),z,ee,re,ae,se,fe=1;E==null&&(E=[]);function me(je){return 1/Math.min(re[je.source.index],re[je.target.index])}function Ae(je){for(var Ke=0,Ze=E.length;Ke[a(at,st,ee),at])),tt;for(je=0,re=new Array(Ke);je{}};function nM(){for(var E=0,a=arguments.length,y={},x;E=0&&(x=y.slice(b+1),y=y.slice(0,b)),y&&!a.hasOwnProperty(y))throw new Error("unknown type: "+y);return{type:y,name:x}})}py.prototype=nM.prototype={constructor:py,on:function(E,a){var y=this._,x=fz(E+"",y),b,z=-1,ee=x.length;if(arguments.length<2){for(;++z0)for(var y=new Array(b),x=0,b,z;x=0&&E._call.call(void 0,a),E=E._next;--p0}function lM(){wg=(Ey=Bv.now())+Ay,p0=Lv=0;try{mz()}finally{p0=0,yz(),wg=0}}function pz(){var E=Bv.now(),a=E-Ey;a>aM&&(Ay-=a,Ey=E)}function yz(){for(var E,a=yy,y,x=1/0;a;)a._call?(x>a._time&&(x=a._time),E=a,a=a._next):(y=a._next,a._next=null,a=E?E._next=y:yy=y);Tv=E,Ax(x)}function Ax(E){if(!p0){Lv&&(Lv=clearTimeout(Lv));var a=E-wg;a>24?(E<1/0&&(Lv=setTimeout(lM,E-Bv.now()-Ay)),Ov&&(Ov=clearInterval(Ov))):(Ov||(Ey=Bv.now(),Ov=setInterval(pz,aM)),p0=1,iM(lM))}}const Ez=1664525,Az=1013904223,uM=4294967296;function xz(){let E=1;return()=>(E=(Ez*E+Az)%uM)/uM}function Sz(E){return E.x}function bz(E){return E.y}var Cz=10,Pz=Math.PI*(3-Math.sqrt(5));function wz(E){var a,y=1,x=.001,b=1-Math.pow(x,1/300),z=0,ee=.6,re=new Map,ae=sM(me),se=gz("tick","end"),fe=xz();E==null&&(E=[]);function me(){Ae(),se.call("tick",a),y1?(je==null?re.delete(Ue):re.set(Ue,Fe(je)),a):re.get(Ue)},find:function(Ue,je,Ke){var Ze=0,Je=E.length,tt,at,st,ft,lt;for(Ke==null?Ke=1/0:Ke*=Ke,Ze=0;Ze1?(se.on(Ue,je),a):se.on(Ue)}}}function Mz(){var E,a,y,x,b=cu(-30),z,ee=1,re=1/0,ae=.81;function se(Te){var Fe,Ue=E.length,je=my(E,Sz,bz).visitAfter(me);for(x=Te,Fe=0;Fe=re)return;(Te.data!==a||Te.next)&&(Ke===0&&(Ke=Eh(y),tt+=Ke*Ke),Ze===0&&(Ze=Eh(y),tt+=Ze*Ze),ttAe.index){var Vt=Te-lt.x-lt.vx,Xt=Fe-lt.y-lt.vy,vn=Vt*Vt+Xt*Xt;vnTe+Bt||stFe+Bt||ftse.r&&(se.r=se[fe].r)}function ae(){if(a){var se,fe=a.length,me;for(y=new Array(fe),se=0;sey.id},manyBody:{},center:{x:0,y:0}},this.context={options:{},assign:!1,nodes:[],edges:[]},nc(this.options,a),this.options.forceSimulation&&(this.simulation=this.options.forceSimulation)}execute(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){return this.genericLayout(!1,a,y)})}assign(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){yield this.genericLayout(!0,a,y)})}stop(){this.simulation.stop()}tick(a){return this.simulation.tick(a),this.getResult()}restart(){this.simulation.restart()}setFixedPosition(a,y){const x=this.context.nodes.find(b=>b.id===a);x&&y.forEach((b,z)=>{if(typeof b=="number"||b===null){const ee=["fx","fy","fz"][z];x[ee]=b}})}getOptions(a){var y,x;const b=nc({},this.options,a);return b.collide&&((y=b.collide)===null||y===void 0?void 0:y.radius)===void 0&&(b.collide=b.collide||{},b.collide.radius=(x=b.nodeSize)!==null&&x!==void 0?x:10),b.iterations===void 0&&(b.link&&b.link.iterations===void 0&&(b.iterations=b.link.iterations),b.collide&&b.collide.iterations===void 0&&(b.iterations=b.collide.iterations)),this.context.options=b,b}genericLayout(a,y,x){var b;return(0,kt.mG)(this,void 0,void 0,function*(){const z=this.getOptions(x),ee=y.getAllNodes().map(({id:fe,data:me})=>Object.assign(Object.assign({id:fe},me),xg(me.data,this.config.inputNodeAttrs))),re=y.getAllEdges().map(fe=>Object.assign({},fe));Object.assign(this.context,{assign:a,nodes:ee,edges:re,graph:y});const ae=new Promise(fe=>{this.resolver=fe}),se=this.setSimulation(z);return se.nodes(ee),(b=se.force("link"))===null||b===void 0||b.links(re),ae})}getResult(){const{assign:a,nodes:y,edges:x,graph:b}=this.context,z=y.map(re=>({id:re.id,data:Object.assign(Object.assign({},re.data),xg(re,this.config.outputNodeAttrs))})),ee=x.map(({id:re,source:ae,target:se,data:fe})=>({id:re,source:typeof ae=="object"?ae.id:ae,target:typeof se=="object"?se.id:se,data:fe}));return a&&z.forEach(re=>b.mergeNodeData(re.id,re.data)),{nodes:z,edges:ee}}initSimulation(){return wz()}setSimulation(a){const y=this.simulation||this.options.forceSimulation||this.initSimulation();return this.simulation||(this.simulation=y.on("tick",()=>{var x;return(x=a.onTick)===null||x===void 0?void 0:x.call(a,this.getResult())}).on("end",()=>{var x;return(x=this.resolver)===null||x===void 0?void 0:x.call(this,this.getResult())})),cM(y,this.config.simulationAttrs.map(x=>[x,a[x]])),Object.entries(this.forceMap).forEach(([x,b])=>{const z=x;if(a[x]){let ee=y.force(z);ee||(ee=b(),y.force(z,ee)),cM(ee,Object.entries(a[z]))}else y.force(z,null)}),y}}const cM=(E,a)=>a.reduce((y,[x,b])=>!y[x]||b===void 0?y:y[x].call(E,b),E);var dM=Oe(92546),_z=Oe.n(dM);class xy{constructor(a){this.id="dagre",this.options={},Object.assign(this.options,xy.defaultOptions,a)}execute(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){return this.genericDagreLayout(!1,a,Object.assign(Object.assign({},this.options),y))})}assign(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){yield this.genericDagreLayout(!0,a,Object.assign(Object.assign({},this.options),y))})}genericDagreLayout(a,y,x){return(0,kt.mG)(this,void 0,void 0,function*(){const{nodeSize:b}=x,z=new dM.graphlib.Graph;z.setGraph(x),z.setDefaultEdgeLabel(()=>({}));const ee=y.getAllNodes(),re=y.getAllEdges();[...ee,...re].some(({id:se})=>Oi(se))&&console.error("Dagre layout only support string id, it will convert number to string."),y.getAllNodes().forEach(se=>{const{id:fe}=se,me=Object.assign({},se.data);if(b!==void 0){const[Ae,Te]=Iv(Gi(b)?b(se):b);Object.assign(me,{width:Ae,height:Te})}z.setNode(fe.toString(),me)}),y.getAllEdges().forEach(({id:se,source:fe,target:me})=>{z.setEdge(fe.toString(),me.toString(),{id:se})}),_z().layout(z);const ae={nodes:[],edges:[]};return z.nodes().forEach(se=>{const fe=z.node(se);ae.nodes.push({id:se,data:fe}),a&&y.mergeNodeData(se,fe)}),z.edges().forEach(se=>{const fe=z.edge(se),{id:me}=fe,Ae=(0,kt._T)(fe,["id"]),{v:Te,w:Fe}=se;ae.edges.push({id:me,source:Te,target:Fe,data:Ae}),a&&y.mergeEdgeData(me,Ae)}),ae})}}xy.defaultOptions={};class xx{constructor(a){this.id=a.id||0,this.rx=a.rx,this.ry=a.ry,this.fx=0,this.fy=0,this.mass=a.mass,this.degree=a.degree,this.g=a.g||0}distanceTo(a){const y=this.rx-a.rx,x=this.ry-a.ry;return Math.hypot(y,x)}setPos(a,y){this.rx=a,this.ry=y}resetForce(){this.fx=0,this.fy=0}addForce(a){const y=a.rx-this.rx,x=a.ry-this.ry;let b=Math.hypot(y,x);b=b<1e-4?1e-4:b;const z=this.g*(this.degree+1)*(a.degree+1)/b;this.fx+=z*y/b,this.fy+=z*x/b}in(a){return a.contains(this.rx,this.ry)}add(a){const y=this.mass+a.mass,x=(this.rx*this.mass+a.rx*a.mass)/y,b=(this.ry*this.mass+a.ry*a.mass)/y,z=this.degree+a.degree,ee={rx:x,ry:b,mass:y,degree:z};return new xx(ee)}}class y0{constructor(a){this.xmid=a.xmid,this.ymid=a.ymid,this.length=a.length,this.massCenter=a.massCenter||[0,0],this.mass=a.mass||1}getLength(){return this.length}contains(a,y){const x=this.length/2;return a<=this.xmid+x&&a>=this.xmid-x&&y<=this.ymid+x&&y>=this.ymid-x}NW(){const a=this.xmid-this.length/4,y=this.ymid+this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new y0(b)}NE(){const a=this.xmid+this.length/4,y=this.ymid+this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new y0(b)}SW(){const a=this.xmid-this.length/4,y=this.ymid-this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new y0(b)}SE(){const a=this.xmid+this.length/4,y=this.ymid-this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new y0(b)}}class E0{constructor(a){this.body=null,this.quad=null,this.NW=null,this.NE=null,this.SW=null,this.SE=null,this.theta=.5,a!=null&&(this.quad=a)}insert(a){if(this.body==null){this.body=a;return}this._isExternal()?(this.quad&&(this.NW=new E0(this.quad.NW()),this.NE=new E0(this.quad.NE()),this.SW=new E0(this.quad.SW()),this.SE=new E0(this.quad.SE())),this._putBody(this.body),this._putBody(a),this.body=this.body.add(a)):(this.body=this.body.add(a),this._putBody(a))}_putBody(a){this.quad&&(a.in(this.quad.NW())&&this.NW?this.NW.insert(a):a.in(this.quad.NE())&&this.NE?this.NE.insert(a):a.in(this.quad.SW())&&this.SW?this.SW.insert(a):a.in(this.quad.SE())&&this.SE&&this.SE.insert(a))}_isExternal(){return this.NW==null&&this.NE==null&&this.SW==null&&this.SE==null}updateForce(a){if(!(this.body==null||a===this.body))if(this._isExternal())a.addForce(this.body);else{const y=this.quad?this.quad.getLength():0,x=this.body.distanceTo(a);y/xWc(Ke,[re,ae])),Fe=b.filter(Ke=>{const{source:Ze,target:Je}=Ke;return Ze!==Je}),Ue=new Zl({nodes:Te,edges:Fe}),je=this.getSizes(Ue,me);if(this.run(Ue,y,fe,je,a,ee),se){for(let Ze=0;Ze250&&(x.barnesHut=!0),ae===void 0&&y>100&&(x.prune=!0),se===0&&!ae?(x.maxIteration=250,y<=200&&y>100?x.maxIteration=1e3:y>200&&(x.maxIteration=1200)):se===0&&ae&&(x.maxIteration=100,y<=200&&y>100?x.maxIteration=500:y>200&&(x.maxIteration=950)),fe||(x.kr=50,y>100&&y<=500?x.kr=20:y>500&&(x.kr=1)),me||(x.kg=20,y>100&&y<=500?x.kg=10:y>500&&(x.kg=1)),x}run(a,y,x,b,z,ee){const{kr:re,barnesHut:ae,onTick:se}=ee,fe=a.getAllNodes();let me=0,Ae=x;const Te={},Fe={},Ue={};for(let je=0;je0;)me=this.oneStep(a,{iter:Ae,preventOverlapIters:50,krPrime:100,sg:me,forces:Te,preForces:Fe,bodies:Ue,sizes:b},ee),Ae--,se==null||se({nodes:fe,edges:y.getAllEdges()});return a}oneStep(a,y,x){const{iter:b,preventOverlapIters:z,krPrime:ee,sg:re,preForces:ae,bodies:se,sizes:fe}=y;let{forces:me}=y;const{preventOverlap:Ae,barnesHut:Te}=x,Fe=a.getAllNodes();for(let Ue=0;Uez||!Ae)?me=this.getOptRepGraForces(a,me,se,x):me=this.getRepGraForces(a,b,z,me,ee,fe,x),this.updatePos(a,me,ae,re,x)}getAttrForces(a,y,x,b,z,ee){const{preventOverlap:re,dissuadeHubs:ae,mode:se,prune:fe}=ee,me=a.getAllEdges();for(let Ae=0;Ae0&&(at=tt,st=tt),z[Te][0]+=at*Je[0],z[Fe][0]-=st*Je[0],z[Te][1]+=at*Je[1],z[Fe][1]-=st*Je[1]}return z}getOptRepGraForces(a,y,x,b){const{kg:z,center:ee,prune:re}=b,ae=a.getAllNodes(),se=ae.length;let fe=9e10,me=-9e10,Ae=9e10,Te=-9e10;for(let Ze=0;Ze=me&&(me=tt.x),tt.x<=fe&&(fe=tt.x),tt.y>=Te&&(Te=tt.y),tt.y<=Ae&&(Ae=tt.y))}const Fe=Math.max(me-fe,Te-Ae),Ue={xmid:(me+fe)/2,ymid:(Te+Ae)/2,length:Fe,massCenter:ee,mass:se},je=new y0(Ue),Ke=new E0(je);for(let Ze=0;Ze0&&(Bt=se*(Ke+1)*(ft+1)/wt),b[je.id][0]-=Bt*lt[0],b[st.id][0]+=Bt*lt[0],b[je.id][1]-=Bt*lt[1],b[st.id][1]+=Bt*lt[1]}const Ze=[je.data.x-me[0],je.data.y-me[1]],Je=Math.hypot(Ze[0],Ze[1]);Ze[0]=Ze[0]/Je,Ze[1]=Ze[1]/Je;const tt=fe*(Ke+1);b[je.id][0]-=tt*Ze[0],b[je.id][1]-=tt*Ze[1]}return b}updatePos(a,y,x,b,z){const{ks:ee,tao:re,prune:ae,ksmax:se}=z,fe=a.getAllNodes(),me=fe.length,Ae=[],Te=[];let Fe=0,Ue=0,je=b;for(let Ze=0;Ze1.5*Ke?1.5*Ke:je);for(let Ze=0;Zelt?lt:st;const wt=st*y[Je][0],Bt=st*y[Je][1];a.mergeNodeData(Je,{x:tt.x+wt,y:tt.y+Bt})}return je}}const zz={maxIteration:1e3,gravity:10,speed:5,clustering:!1,clusterGravity:10,width:300,height:300,nodeClusterBy:"cluster"},Uz=800;class Wz{constructor(a={}){this.options=a,this.id="fruchterman",this.timeInterval=0,this.running=!1,this.options=Object.assign(Object.assign({},zz),a)}execute(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){return this.genericFruchtermanLayout(!1,a,y)})}assign(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){yield this.genericFruchtermanLayout(!0,a,y)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(a=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let x=0;xthis.lastGraph.mergeNodeData(x.id,{x:x.data.x,y:x.data.y,z:this.options.dimensions===3?x.data.z:void 0})),y}genericFruchtermanLayout(a,y,x){return(0,kt.mG)(this,void 0,void 0,function*(){if(this.running)return;const b=this.formatOptions(x),{dimensions:z,width:ee,height:re,center:ae,clustering:se,nodeClusterBy:fe,maxIteration:me,onTick:Ae}=b,Te=y.getAllNodes(),Fe=y.getAllEdges();if(!(Te!=null&&Te.length)){const Je={nodes:[],edges:Fe};return this.lastResult=Je,Je}if(Te.length===1){a&&y.mergeNodeData(Te[0].id,{x:ae[0],y:ae[1],z:z===3?ae[2]:void 0});const Je={nodes:[Object.assign(Object.assign({},Te[0]),{data:Object.assign(Object.assign({},Te[0].data),{x:ae[0],y:ae[1],z:z===3?ae[2]:void 0})})],edges:Fe};return this.lastResult=Je,Je}const Ue=Te.map(Je=>Wc(Je,[ee,re])),je=new Zl({nodes:Ue,edges:Fe}),Ke={};if(se&&Ue.forEach(Je=>{const tt=Je.data[fe];Ke[tt]||(Ke[tt]={name:tt,cx:0,cy:0,count:0})}),this.lastLayoutNodes=Ue,this.lastLayoutEdges=Fe,this.lastAssign=a,this.lastGraph=je,this.lastOptions=b,this.lastClusterMap=Ke,typeof window=="undefined")return;let Ze=0;return new Promise(Je=>{this.timeInterval=window.setInterval(()=>{if(!this.running){Je({nodes:Ue,edges:Fe});return}this.runOneStep(je,Ke,b),a&&Ue.forEach(({id:tt,data:at})=>y.mergeNodeData(tt,{x:at.x,y:at.y,z:z===3?at.z:void 0})),Ae==null||Ae({nodes:Ue,edges:Fe}),Ze++,Ze>=me&&(window.clearInterval(this.timeInterval),Je({nodes:Ue,edges:Fe}))},0),this.running=!0})})}formatOptions(a={}){const y=Object.assign(Object.assign({},this.options),a),{clustering:x,nodeClusterBy:b}=y,{center:z,width:ee,height:re}=y;return y.width=!ee&&typeof window!="undefined"?window.innerWidth:ee,y.height=!re&&typeof window!="undefined"?window.innerHeight:re,y.center=z||[y.width/2,y.height/2],y.clustering=x&&!!b,y}runOneStep(a,y,x){const{dimensions:b,height:z,width:ee,gravity:re,center:ae,speed:se,clustering:fe,nodeClusterBy:me,clusterGravity:Ae}=x,Te=z*ee,Fe=Math.sqrt(Te)/10,Ue=a.getAllNodes(),je=Te/(Ue.length+1),Ke=Math.sqrt(je),Ze={};if(this.applyCalculate(a,Ze,Ke,je),fe){for(const tt in y)y[tt].cx=0,y[tt].cy=0,y[tt].count=0;Ue.forEach(tt=>{const{data:at}=tt,st=y[at[me]];Oi(at.x)&&(st.cx+=at.x),Oi(at.y)&&(st.cy+=at.y),st.count++});for(const tt in y)y[tt].cx/=y[tt].count,y[tt].cy/=y[tt].count;const Je=Ae||re;Ue.forEach((tt,at)=>{const{id:st,data:ft}=tt;if(!Oi(ft.x)||!Oi(ft.y))return;const lt=y[ft[me]],wt=Math.sqrt((ft.x-lt.cx)*(ft.x-lt.cx)+(ft.y-lt.cy)*(ft.y-lt.cy)),Bt=Ke*Je;Ze[st].x-=Bt*(ft.x-lt.cx)/wt,Ze[st].y-=Bt*(ft.y-lt.cy)/wt})}Ue.forEach((Je,tt)=>{const{id:at,data:st}=Je;if(!Oi(st.x)||!Oi(st.y))return;const ft=.01*Ke*re;Ze[at].x-=ft*(st.x-ae[0]),Ze[at].y-=ft*(st.y-ae[1]),b===3&&(Ze[at].z-=ft*(st.z-ae[2]))}),Ue.forEach((Je,tt)=>{const{id:at,data:st}=Je;if(Oi(st.fx)&&Oi(st.fy)){st.x=st.fx,st.y=st.fy,b===3&&(st.z=st.fz);return}if(!Oi(st.x)||!Oi(st.y))return;const ft=Math.sqrt(Ze[at].x*Ze[at].x+Ze[at].y*Ze[at].y+(b===3?Ze[at].z*Ze[at].z:0));if(ft>0){const lt=Math.min(Fe*(se/Uz),ft);a.mergeNodeData(at,{x:st.x+Ze[at].x/ft*lt,y:st.y+Ze[at].y/ft*lt,z:b===3?st.z+Ze[at].z/ft*lt:void 0})}})}applyCalculate(a,y,x,b){this.calRepulsive(a,y,b),this.calAttractive(a,y,x)}calRepulsive(a,y,x){const b=a.getAllNodes();b.forEach(({data:z,id:ee},re)=>{y[ee]={x:0,y:0,z:0},b.forEach(({data:ae,id:se},fe)=>{if(re<=fe||!Oi(z.x)||!Oi(ae.x)||!Oi(z.y)||!Oi(ae.y))return;let me=z.x-ae.x,Ae=z.y-ae.y,Te=this.options.dimensions===3?z.z-ae.z:0,Fe=me*me+Ae*Ae+Te*Te;Fe===0&&(Fe=1,me=.01,Ae=.01,Te=.01);const Ue=x/Fe,je=me*Ue,Ke=Ae*Ue,Ze=Te*Ue;y[ee].x+=je,y[ee].y+=Ke,y[se].x-=je,y[se].y-=Ke,this.options.dimensions===3&&(y[ee].z+=Ze,y[se].z-=Ze)})})}calAttractive(a,y,x){a.getAllEdges().forEach(z=>{const{source:ee,target:re}=z;if(!ee||!re||ee===re)return;const{data:ae}=a.getNode(ee),{data:se}=a.getNode(re);if(!Oi(se.x)||!Oi(ae.x)||!Oi(se.y)||!Oi(ae.y))return;const fe=se.x-ae.x,me=se.y-ae.y,Ae=this.options.dimensions===3?se.z-ae.z:0,Te=Math.sqrt(fe*fe+me*me+Ae*Ae)/x,Fe=fe*Te,Ue=me*Te,je=Ae*Te;y[ee].x+=Fe,y[ee].y+=Ue,y[re].x-=Fe,y[re].y-=Ue,this.options.dimensions===3&&(y[ee].z+=je,y[re].z-=je)})}}const jz={begin:[0,0],preventOverlap:!0,preventOverlapPadding:10,condense:!1,rows:void 0,cols:void 0,position:void 0,sortBy:"degree",nodeSize:30,width:300,height:300};class Gz{constructor(a={}){this.options=a,this.id="grid",this.options=Object.assign(Object.assign({},jz),a)}execute(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){return this.genericGridLayout(!1,a,y)})}assign(a,y){return(0,kt.mG)(this,void 0,void 0,function*(){yield this.genericGridLayout(!0,a,y)})}genericGridLayout(a,y,x){return(0,kt.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),{begin:z=[0,0],condense:ee,preventOverlapPadding:re,preventOverlap:ae,rows:se,cols:fe,nodeSpacing:me,nodeSize:Ae,width:Te,height:Fe,position:Ue}=b;let{sortBy:je}=b;const Ke=y.getAllNodes(),Ze=y.getAllEdges(),Je=Ke==null?void 0:Ke.length;if(!Je||Je===1)return Pg(y,a,z);const tt=Ke.map(wn=>Wc(wn));je!=="id"&&(!Ls(je)||tt[0].data[je]===void 0)&&(je="degree"),je==="degree"?tt.sort((wn,qn)=>y.getDegree(qn.id,"both")-y.getDegree(wn.id,"both")):je==="id"?tt.sort((wn,qn)=>Oi(qn.id)&&Oi(wn.id)?qn.id-wn.id:`${wn.id}`.localeCompare(`${qn.id}`)):tt.sort((wn,qn)=>qn.data[je]-wn.data[je]);const at=!Te&&typeof window!="undefined"?window.innerWidth:Te,st=!Fe&&typeof window!="undefined"?window.innerHeight:Fe,ft=Je,lt={rows:se,cols:fe};if(se!=null&&fe!=null)lt.rows=se,lt.cols=fe;else if(se!=null&&fe==null)lt.rows=se,lt.cols=Math.ceil(ft/lt.rows);else if(se==null&&fe!=null)lt.cols=fe,lt.rows=Math.ceil(ft/lt.cols);else{const wn=Math.sqrt(ft*st/at);lt.rows=Math.round(wn),lt.cols=Math.round(at/st*wn)}if(lt.rows=Math.max(lt.rows,1),lt.cols=Math.max(lt.cols,1),lt.cols*lt.rows>ft){const wn=Sy(lt),qn=by(lt);(wn-1)*qn>=ft?Sy(lt,wn-1):(qn-1)*wn>=ft&&by(lt,qn-1)}else for(;lt.cols*lt.rows=ft?by(lt,qn+1):Sy(lt,wn+1)}let wt=ee?0:at/lt.cols,Bt=ee?0:st/lt.rows;if(ae||me){const wn=Cg(10,me),qn=ux(30,Ae,!1);tt.forEach(yn=>{(!yn.data.x||!yn.data.y)&&(yn.data.x=0,yn.data.y=0);const En=y.getNode(yn.id),[Pn,or]=Iv(qn(En)||30),xn=wn!==void 0?wn(yn):re,yr=Pn+xn,na=or+xn;wt=Math.max(wt,yr),Bt=Math.max(Bt,na)})}const Vt={},Xt={row:0,col:0},vn={};for(let wn=0;wn{y.mergeNodeData(wn.id,{x:wn.data.x,y:wn.data.y})}),on})}}const Sy=(E,a)=>{let y;const 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Ol;(function(E){E[E.POINT=1]="POINT",E[E.PARALLEL=2]="PARALLEL",E[E.COINCIDENT=3]="COINCIDENT",E[E.NONE=4]="NONE"})(Ol||(Ol={}));class Ix{constructor(a,y=0,x=0){this.state=a,this.x=y,this.y=x}}function My(E,a){const y=(a.x2-a.x1)*(E.y1-a.y1)-(a.y2-a.y1)*(E.x1-a.x1),x=(E.x2-E.x1)*(E.y1-a.y1)-(E.y2-E.y1)*(E.x1-a.x1),b=(a.y2-a.y1)*(E.x2-E.x1)-(a.x2-a.x1)*(E.y2-E.y1);if(b){const z=y/b,ee=x/b;return 0<=z&&z<=1&&0<=ee&&ee<=1?new Ix(Ol.POINT,E.x1+z*(E.x2-E.x1),E.y1+z*(E.y2-E.y1)):new Ix(Ol.NONE)}return new Ix(y===0||x===0?Ol.COINCIDENT:Ol.PARALLEL)}function pM(E,a){const y=(a.x2-a.x1)*(E.y1-a.y1)-(a.y2-a.y1)*(E.x1-a.x1),x=(E.x2-E.x1)*(E.y1-a.y1)-(E.y2-E.y1)*(E.x1-a.x1),b=(a.y2-a.y1)*(E.x2-E.x1)-(a.x2-a.x1)*(E.y2-E.y1);if(b){const z=y/b,ee=x/b;if(0<=z&&z<=1&&0<=ee&&ee<=1)return z}return Number.POSITIVE_INFINITY}function EU(E,a){function y(b,z,ee,re){let ae=pM(a,new Au(b,z,ee,re));return ae=Math.abs(ae-.5),ae>=0&&ae<=1?1:0}let x=y(E.x,E.y,E.x2,E.y);return x+=y(E.x,E.y,E.x,E.y2),x>1||(x+=y(E.x,E.y2,E.x2,E.y2),x>1)?!0:(x+=y(E.x2,E.y,E.x2,E.y2),x>0)}var Tl;(function(E){E[E.LEFT=0]="LEFT",E[E.TOP=1]="TOP",E[E.RIGHT=2]="RIGHT",E[E.BOTTOM=3]="BOTTOM"})(Tl||(Tl={}));function Dy(E,a,y){const x=new Set;return E.width<=0?(x.add(Tl.LEFT),x.add(Tl.RIGHT)):aE.x+E.width&&x.add(Tl.RIGHT),E.height<=0?(x.add(Tl.TOP),x.add(Tl.BOTTOM)):yE.y+E.height&&x.add(Tl.BOTTOM),x}function yM(E,a){let y=a.x1,x=a.y1;const b=a.x2,z=a.y2,ee=Array.from(Dy(E,b,z));if(ee.length===0)return!0;let re=Dy(E,y,x);for(;re.size!==0;){for(const ae of ee)if(re.has(ae))return!1;if(re.has(Tl.RIGHT)||re.has(Tl.LEFT)){let ae=E.x;re.has(Tl.RIGHT)&&(ae+=E.width),x=x+(ae-y)*(z-x)/(b-y),y=ae}else{let ae=E.y;re.has(Tl.BOTTOM)&&(ae+=E.height),y=y+(ae-x)*(b-y)/(z-x),x=ae}re=Dy(E,y,x)}return!0}function AU(E,a){let y=Number.POSITIVE_INFINITY,x=0;function b(z,ee,re,ae){let se=pM(a,new Au(z,ee,re,ae));se=Math.abs(se-.5),se>=0&&se<=1&&(x++,se1||(b(E.x,E.y2,E.x2,E.y2),x>1)?y:(b(E.x2,E.y,E.x2,E.y2),x===0?-1:y)}function xU(E,a){let y=0;const x=My(E,new Au(a.x,a.y,a.x2,a.y));y+=x.state===Ol.POINT?1:0;const b=My(E,new Au(a.x,a.y,a.x,a.y2));y+=b.state===Ol.POINT?1:0;const z=My(E,new Au(a.x,a.y2,a.x2,a.y2));y+=z.state===Ol.POINT?1:0;const ee=My(E,new Au(a.x2,a.y,a.x2,a.y2));return y+=ee.state===Ol.POINT?1:0,{top:x,left:b,bottom:z,right:ee,count:y}}class Vu{constructor(a,y,x,b){this.x=a,this.y=y,this.width=x,this.height=b}get x2(){return this.x+this.width}get y2(){return this.y+this.height}get cx(){return this.x+this.width/2}get cy(){return this.y+this.height/2}get radius(){return Math.max(this.width,this.height)/2}static from(a){return new Vu(a.x,a.y,a.width,a.height)}equals(a){return this.x===a.x&&this.y===a.y&&this.width===a.width&&this.height===a.height}clone(){return new Vu(this.x,this.y,this.width,this.height)}add(a){const y=Math.min(this.x,a.x),x=Math.min(this.y,a.y),b=Math.max(this.x2,a.x+a.width),z=Math.max(this.y2,a.y+a.height);this.x=y,this.y=x,this.width=b-y,this.height=z-x}addPoint(a){const y=Math.min(this.x,a.x),x=Math.min(this.y,a.y),b=Math.max(this.x2,a.x),z=Math.max(this.y2,a.y);this.x=y,this.y=x,this.width=b-y,this.height=z-x}toString(){return`Rectangle[x=${this.x}, y=${this.y}, w=${this.width}, h=${this.height}]`}draw(a){a.rect(this.x,this.y,this.width,this.height)}containsPt(a,y){return a>=this.x&&a<=this.x2&&y>=this.y&&y<=this.y2}get area(){return this.width*this.height}intersects(a){return this.area<=0||a.width<=0||a.height<=0?!1:a.x+a.width>this.x&&a.y+a.height>this.y&&a.x=this.width?this.width-1:a}boundY(a){return a=this.height?this.height-1:a}scaleX(a){return this.boundX(Math.floor((a-this.pixelX)/this.pixelGroup))}scaleY(a){return this.boundY(Math.floor((a-this.pixelY)/this.pixelGroup))}scale(a){const y=this.scaleX(a.x),x=this.scaleY(a.y),b=this.boundX(Math.ceil((a.x+a.width-this.pixelX)/this.pixelGroup)),z=this.boundY(Math.ceil((a.y+a.height-this.pixelY)/this.pixelGroup)),ee=b-y,re=z-x;return new Vu(y,x,ee,re)}invertScaleX(a){return Math.round(a*this.pixelGroup+this.pixelX)}invertScaleY(a){return Math.round(a*this.pixelGroup+this.pixelY)}addPadding(a,y){const x=Math.ceil(y/this.pixelGroup),b=this.boundX(a.x-x),z=this.boundY(a.y-x),ee=this.boundX(a.x2+x),re=this.boundY(a.y2+x),ae=ee-b,se=re-z;return new Vu(b,z,ae,se)}get(a,y){return a<0||y<0||a>=this.width||y>=this.height?Number.NaN:this.area[a+y*this.width]}inc(a,y,x){a<0||y<0||a>=this.width||y>=this.height||(this.area[a+y*this.width]+=x)}set(a,y,x){a<0||y<0||a>=this.width||y>=this.height||(this.area[a+y*this.width]=x)}incArea(a,y){if(a.width<=0||a.height<=0||y===0)return;const x=this.width,b=a.width,z=Math.max(0,a.i),ee=Math.max(0,a.j),re=Math.min(a.i+a.width,x),ae=Math.min(a.j+a.height,this.height);if(!(ae<=0||re<=0||z>=x||ae>=this.height))for(let se=ee;seMath.min(ee,re),Number.POSITIVE_INFINITY),b=this.area.reduce((ee,re)=>Math.max(ee,re),Number.NEGATIVE_INFINITY),z=ee=>(ee-x)/(b-x);a.scale(this.pixelGroup,this.pixelGroup);for(let ee=0;eey?"black":"white",a.fillRect(b,z,1,1)}a.restore()}}}function EM(E,a){const y=x=>({x:x.x-a,y:x.y-a,width:x.width+2*a,height:x.height+2*a});return Array.isArray(E)?E.map(y):y(E)}function AM(E,a,y){return xM(Object.assign(mM(E),{distSquare:(x,b)=>Dx(E.x1,E.y1,E.x2,E.y2,x,b)}),a,y)}function xM(E,a,y){const x=EM(E,y),b=a.scale(x),z=a.createSub(b,x);return bU(z,a,y,(ee,re)=>E.distSquare(ee,re)),z}function bU(E,a,y,x){const b=y*y;for(let z=0;z{const re=b.slice(0,ee);return wU(a,z,re,y,x)}).flat()}function wU(E,a,y,x,b){const z=vl(a.cx,a.cy),ee=IU(z,y,E);if(ee==null)return[];const re=new Au(z.x,z.y,ee.cx,ee.cy),ae=MU(re,E,x,b);return DU(ae,E)}function MU(E,a,y,x){const b=[],z=[];z.push(E);let ee=!0;for(let re=0;re0;){const ae=z.pop(),se=SM(a,ae),fe=se?xU(ae,se):null;if(!se||!fe||fe.count!==2){ee||b.push(ae);continue}let me=x,Ae=Oy(se,me,fe,!0),Te=xh(Ae,z)||xh(Ae,b),Fe=Ly(Ae,a);for(;!Te&&Fe&&me>=1;)me/=1.5,Ae=Oy(se,me,fe,!0),Te=xh(Ae,z)||xh(Ae,b),Fe=Ly(Ae,a);if(Ae&&!Te&&!Fe&&(z.push(new Au(ae.x1,ae.y1,Ae.x,Ae.y)),z.push(new Au(Ae.x,Ae.y,ae.x2,ae.y2)),ee=!0),ee)continue;me=x,Ae=Oy(se,me,fe,!1);let Ue=xh(Ae,z)||xh(Ae,b);for(Fe=Ly(Ae,a);!Ue&&Fe&&me>=1;)me/=1.5,Ae=Oy(se,me,fe,!1),Ue=xh(Ae,z)||xh(Ae,b),Fe=Ly(Ae,a);Ae&&!Ue&&(z.push(new Au(ae.x1,ae.y1,Ae.x,Ae.y)),z.push(new Au(Ae.x,Ae.y,ae.x2,ae.y2)),ee=!0),ee||b.push(ae)}for(;z.length>0;)b.push(z.pop());return b}function DU(E,a){const y=[];for(;E.length>0;){const x=E.pop();if(E.length===0){y.push(x);break}const b=E.pop(),z=new Au(x.x1,x.y1,b.x2,b.y2);SM(a,z)?(y.push(x),E.push(b)):E.push(z)}return y}function IU(E,a,y){let x=Number.POSITIVE_INFINITY;return a.reduce((b,z)=>{const ee=Ah(E.x,E.y,z.cx,z.cy);if(ee>x)return b;const re=new Au(E.x,E.y,z.cx,z.cy),ae=OU(y,re);return ee*(ae+1)*(ae+1){a+=x.cx,y+=x.cy}),a/=E.length,y/=E.length,E.map(x=>{const b=a-x.cx,z=y-x.cy,ee=b*b+z*z;return[x,ee]}).sort((x,b)=>x[1]-b[1]).map(x=>x[0])}function Ly(E,a){return a.some(y=>y.containsPt(E.x,E.y))}function xh(E,a){return a.some(y=>!!(vM(y.x1,y.y1,E.x,E.y,.001)||vM(y.x2,y.y2,E.x,E.y,.001)))}function SM(E,a){let y=Number.POSITIVE_INFINITY,x=null;for(const b of E){if(!yM(b,a))continue;const z=AU(b,a);z>=0&&zyM(x,a)&&EU(x,a)?y+1:y,0)}function Oy(E,a,y,x){const b=y.top,z=y.left,ee=y.bottom,re=y.right;if(x){if(z.state===Ol.POINT){if(b.state===Ol.POINT)return vl(E.x-a,E.y-a);if(ee.state===Ol.POINT)return vl(E.x-a,E.y2+a);const Ae=E.width*E.height;return E.width*((z.y-E.y+(re.y-E.y))*.5)re.y?vl(E.x-a,E.y-a):vl(E.x2+a,E.y-a):z.yee.x?vl(E.x-a,E.y-a):vl(E.x-a,E.y2+a):b.xre.y?vl(E.x2+a,E.y2+a):vl(E.x-a,E.y2+a):z.yee.x?vl(E.x2+a,E.y2+a):vl(E.x2+a,E.y-a):b.xx)return!1}return!0}function BU(E=0){return a=>{if(E<0||a.length<3)return a;const y=[];let x=0;const b=E*E;for(;x{if(ee.length<3)return ee;const re=[],ae=ee.closed,se=ee.length+3-1+(ae?0:2);re.push(z(ee,2-(ae?0:2),0));for(let fe=2-(ae?0:2);fe{let y=E,x=a.length;if(y>1)for(x=Math.floor(a.length/y);x<3&&y>1;)y-=1,x=Math.floor(a.length/y);const b=[];for(let z=0,ee=0;ee=x?this.closed?this.get(a-x):this.points[x-1]:this.points[y]}get length(){return this.points.length}toString(a=1/0){const y=this.points;if(y.length===0)return"";const x=typeof a=="function"?a:yU(a);let b="M";for(const z of y)b+=`${x(z.x)},${x(z.y)} L`;return b=b.slice(0,-1),this.closed&&(b+=" Z"),b}draw(a){const y=this.points;if(y.length!==0){a.beginPath(),a.moveTo(y[0].x,y[0].y);for(const x of y)a.lineTo(x.x,x.y);this.closed&&a.closePath()}}sample(a){return _U(a)(this)}simplify(a){return BU(a)(this)}bSplines(a){return RU(a)(this)}apply(a){return a(this)}containsElements(a){const y=SU(this.points);return y?a.every(x=>y.containsPt(x.cx,x.cy)&&this.withinArea(x.cx,x.cy)):!1}withinArea(a,y){if(this.length===0)return!1;let x=0;const b=this.points[0],z=new Au(b.x,b.y,b.x,b.y);for(let ee=1;eea?fe+me:fe}function z(ae,se){let fe=Nv;return fe=b(ae,se,fe,1),fe=b(ae+1,se,fe,2),fe=b(ae,se+1,fe,4),fe=b(ae+1,se+1,fe,8),Number.isNaN(fe)?-1:fe}let ee=Ty;function re(ae,se){let fe=ae,me=se,Ae=E.invertScaleX(fe),Te=E.invertScaleY(me);for(let Fe=0;FebM(x.raw,a));return y<0?!1:(this.members.splice(y,1),this.dirty.add(Fd.MEMBERS),!0)}removeNonMember(a){const y=this.nonMembers.findIndex(x=>bM(x.raw,a));return y<0?!1:(this.nonMembers.splice(y,1),this.dirty.add(Fd.NON_MEMBERS),!0)}removeEdge(a){const y=this.edges.findIndex(x=>x.obj.equals(a));return y<0?!1:(this.edges.splice(y,1),this.dirty.add(Fd.NON_MEMBERS),!0)}pushNonMember(...a){if(a.length!==0){this.dirty.add(Fd.NON_MEMBERS);for(const y of a)this.nonMembers.push({raw:y,obj:Rv(y)?Iy.from(y):Vu.from(y),area:null})}}pushEdge(...a){if(a.length!==0){this.dirty.add(Fd.EDGES);for(const y of a)this.edges.push({raw:y,obj:Au.from(y),area:null})}}update(){const a=this.dirty.has(Fd.MEMBERS),y=this.dirty.has(Fd.NON_MEMBERS);let x=this.dirty.has(Fd.EDGES);this.dirty.clear();const b=this.members.map(se=>se.obj);if(this.o.virtualEdges&&(a||y)){const se=this.nonMembers.map(Ae=>Ae.obj),fe=PU(b,se,this.o.maxRoutingIterations,this.o.morphBuffer),me=new Map(this.virtualEdges.map(Ae=>[Ae.obj.toString(),Ae.area]));this.virtualEdges=fe.map(Ae=>{var Te;return{raw:Ae,obj:Ae,area:(Te=me.get(Ae.toString()))!==null&&Te!==void 0?Te:null}}),x=!0}let z=!1;if(a||x){const se=this.virtualEdges.concat(this.edges).map(Te=>Te.obj),fe=UU(b,se),me=Math.max(this.o.edgeR1,this.o.nodeR1)+this.o.morphBuffer,Ae=Vu.from(EM(fe,me));Ae.equals(this.activeRegion)||(z=!0,this.activeRegion=Ae)}if(z){const se=Math.ceil(this.activeRegion.width/this.o.pixelGroup),fe=Math.ceil(this.activeRegion.height/this.o.pixelGroup);this.activeRegion.x!==this.potentialArea.pixelX||this.activeRegion.y!==this.potentialArea.pixelY?(this.potentialArea=Mg.fromPixelRegion(this.activeRegion,this.o.pixelGroup),this.members.forEach(me=>me.area=null),this.nonMembers.forEach(me=>me.area=null),this.edges.forEach(me=>me.area=null),this.virtualEdges.forEach(me=>me.area=null)):(se!==this.potentialArea.width||fe!==this.potentialArea.height)&&(this.potentialArea=Mg.fromPixelRegion(this.activeRegion,this.o.pixelGroup))}const ee=new Map,re=se=>{if(se.area){const fe=`${se.obj.width}x${se.obj.height}x${se.obj instanceof Vu?"R":"C"}`;ee.set(fe,se.area)}},ae=se=>{if(se.area)return;const fe=`${se.obj.width}x${se.obj.height}x${se.obj instanceof Vu?"R":"C"}`;if(ee.has(fe)){const Ae=ee.get(fe);se.area=this.potentialArea.copy(Ae,{x:se.obj.x-this.o.nodeR1,y:se.obj.y-this.o.nodeR1});return}const me=se.obj instanceof Vu?CU(se.obj,this.potentialArea,this.o.nodeR1):xM(se.obj,this.potentialArea,this.o.nodeR1);se.area=me,ee.set(fe,me)};this.members.forEach(re),this.nonMembers.forEach(re),this.members.forEach(ae),this.nonMembers.forEach(se=>{this.activeRegion.intersects(se.obj)?ae(se):se.area=null}),this.edges.forEach(se=>{se.area||(se.area=AM(se.obj,this.potentialArea,this.o.edgeR1))}),this.virtualEdges.forEach(se=>{se.area||(se.area=AM(se.obj,this.potentialArea,this.o.edgeR1))})}drawMembers(a){for(const y of this.members)y.obj.draw(a)}drawNonMembers(a){for(const y of this.nonMembers)y.obj.draw(a)}drawEdges(a){for(const y of this.edges)y.obj.draw(a)}drawPotentialArea(a,y=!0){this.potentialArea.draw(a,y)}compute(){if(this.members.length===0)return new Dg([]);this.dirty.size>0&&this.update();const{o:a,potentialArea:y}=this,x=this.members.map(re=>re.area),b=this.virtualEdges.concat(this.edges).map(re=>re.area),z=this.nonMembers.filter(re=>re.area!=null).map(re=>re.area),ee=this.members.map(re=>re.obj);return zU(y,x,b,z,re=>re.containsElements(ee),a)}}function zU(E,a,y,x,b,z={}){const ee=Object.assign({},Ny,z);let re=ee.threshold,ae=ee.memberInfluenceFactor,se=ee.edgeInfluenceFactor,fe=ee.nonMemberInfluenceFactor;const me=(ee.nodeR0-ee.nodeR1)*(ee.nodeR0-ee.nodeR1),Ae=(ee.edgeR0-ee.edgeR1)*(ee.edgeR0-ee.edgeR1);for(let Te=0;Te0)fe*=.8;else break}return new Dg([])}function UU(E,a){if(E.length===0)return new Vu(0,0,0,0);const y=Vu.from(E[0]);for(const x of E)y.add(x);for(const x of a)y.add(mM(x));return y}function E$(E,a=[],y=[],x={}){if(E.length===0)return new Dg([]);const b=new Ox(x);return b.pushMember(...E),b.pushNonMember(...a),b.pushEdge(...y),b.compute()}var WU=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{const{style:x,bubbleSetOptions:b}=this.parseOptions();Vl(this.bubbleSetOptions,b)||this.init(),this.bubbleSetOptions=Object.assign({},b);const z=Object.assign(Object.assign({},x),{d:this.getPath()});this.shape?this.shape.update(z):(this.shape=new xv({style:z}),this.context.canvas.appendChild(this.shape))},this.updateBubbleSetsPath=x=>{if(!this.shape)return;const b=_r(x.data);[...this.options.members,...this.options.avoidMembers].includes(b)&&this.shape.update(Object.assign(Object.assign({},this.parseOptions().style),{d:this.getPath(b)}))},this.getPath=x=>{const{graph:b}=this.context,z=this.options.members,ee=[...this.members.keys()],re=this.options.avoidMembers,ae=[...this.avoidMembers.keys()];if(!x&&Vl(z,ee)&&Vl(re,ae))return this.path;const{enter:se=[],exit:fe=[]}=ch(ee,z,je=>je),{enter:me=[],exit:Ae=[]}=ch(ae,re,je=>je);x&&(fe.push(x),se.push(x));const Te=(je,Ke,Ze)=>{je.forEach(Je=>{const tt=Ze?this.members:this.avoidMembers,at=Ze?"pushMember":"pushNonMember",st=Ze?"removeMember":"removeNonMember";if(Ke){let ft;b.getElementType(Je)==="edge"?([ft]=GU(b,Je),this.bubbleSets.pushEdge(ft)):([ft]=jU(b,Je),this.bubbleSets[at](ft)),tt.set(Je,ft)}else{const ft=tt.get(Je);ft&&(b.getElementType(Je)==="edge"?this.bubbleSets.removeEdge(ft):this.bubbleSets[st](ft),tt.delete(Je))}})};Te(fe,!1,!0),Te(se,!0,!0),Te(Ae,!1,!1),Te(me,!0,!1);const Ue=this.bubbleSets.compute().sample(8).simplify(0).bSplines().simplify(0);return this.path=gw(Ue.points.map(Iu)),this.path},this.bindEvents(),this.bubbleSets=new Ox(this.options)}bindEvents(){this.context.graph.on(ci.AFTER_RENDER,this.drawBubbleSets),this.context.graph.on(ci.AFTER_ELEMENT_UPDATE,this.updateBubbleSetsPath)}init(){this.bubbleSets=new Ox(this.options),this.members=new Map,this.avoidMembers=new Map}parseOptions(){const a=this.options,{type:y,key:x,members:b,avoidMembers:z}=a,ee=WU(a,["type","key","members","avoidMembers"]),re=Object.keys(ee).reduce((ae,se)=>(se in Ny?ae.bubbleSetOptions[se]=ee[se]:ae.style[se]=ee[se],ae),{style:{},bubbleSetOptions:{}});return Object.assign({type:y,key:x,members:b,avoidMembers:z},re)}addMember(a){const y=Array.isArray(a)?a:[a];y.some(x=>this.options.avoidMembers.includes(x))&&(this.options.avoidMembers=this.options.avoidMembers.filter(x=>!y.includes(x))),this.options.members=[...new Set([...this.options.members,...y])],this.drawBubbleSets()}removeMember(a){const y=Array.isArray(a)?a:[a];this.options.members=this.options.members.filter(x=>!y.includes(x)),this.drawBubbleSets()}updateMember(a){this.options.members=Gi(a)?a(this.options.members):a,this.drawBubbleSets()}getMember(){return this.options.members}addAvoidMember(a){const y=Array.isArray(a)?a:[a];y.some(x=>this.options.members.includes(x))&&(this.options.members=this.options.members.filter(x=>!y.includes(x))),this.options.avoidMembers=[...new Set([...this.options.avoidMembers,...y])],this.drawBubbleSets()}removeAvoidMember(a){const y=Array.isArray(a)?a:[a];this.options.avoidMembers.some(x=>y.includes(x))&&(this.options.avoidMembers=this.options.avoidMembers.filter(x=>!y.includes(x)),this.drawBubbleSets())}updateAvoidMember(a){this.options.avoidMembers=Array.isArray(a)?a:[a],this.drawBubbleSets()}getAvoidMember(){return this.options.avoidMembers}destroy(){this.context.graph.off(ci.AFTER_RENDER,this.drawBubbleSets),this.context.graph.off(ci.AFTER_ELEMENT_UPDATE,this.updateBubbleSetsPath),this.shape.destroy(),super.destroy()}}Ry.defaultOptions=Object.assign({members:[],avoidMembers:[],fill:"lightblue",fillOpacity:.2,stroke:"blue",strokeOpacity:.2},Ny);const jU=(E,a)=>(Array.isArray(a)?a:[a]).map(x=>{const b=E.getElementRenderBounds(x);return new Vu(b.min[0],b.min[1],sf(b),lf(b))}),GU=(E,a)=>(Array.isArray(a)?a:[a]).map(x=>{const b=E.getEdgeData(x),z=E.getElementPosition(b.source),ee=E.getElementPosition(b.target);return Au.from({x1:z[0],y1:z[1],x2:ee[0],y2:ee[1]})});class A$ extends null{constructor(a,y){super(a,y),this.setOptions=x=>{const b={cameraType:"setType",near:"setNear",far:"setFar",fov:"setFov",aspect:"setAspect",projectionMode:"setProjectionMode",distance:"setDistance",minDistance:"setMinDistance",maxDistance:"setMaxDistance",roll:"setRoll",elevation:"setElevation",azimuth:"setAzimuth"},z=(ee,re)=>{switch(ee){case"projectionMode":return re==="perspective"?1:0;case"cameraType":return{orbiting:0,exploring:1,tracking:2}[re];case"aspect":return typeof re=="number"?re:this.getCanvasAspect();default:return re}};Object.entries(b).forEach(([ee,re])=>{const ae=x[ee];if(ae!==void 0){const se=z(ee,ae);this.context.canvas.getCamera()[re](se)}})},this.bindEvents()}update(a){this.setOptions(a),super.update(a)}bindEvents(){this.context.graph.once(GraphEvent.BEFORE_DRAW,()=>this.setOptions(this.options))}getCanvasAspect(){const[a,y]=this.context.viewport.getCanvasSize();return a/y}}function VU(E){return`
    ${E.map(a=>`
  • ${a.name}
    • `).join("")} @@ -182,17 +182,17 @@ In order to be iterable, non-array objects must have a [Symbol.iterator]() metho background-color: #f5f5f5; cursor: pointer; } -`;var CM=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class _y extends Ou{constructor(a,y){super(a,Object.assign({},_y.defaultOptions,y)),this.targetElement=null,this.onTriggerEvent=x=>{var b;(b=x.preventDefault)===null||b===void 0||b.call(x),this.show(x)},this.onMenuItemClick=x=>{const{onClick:b,trigger:z}=this.options;if(x.target instanceof HTMLElement&&x.target.className.includes("g6-contextmenu-li")){const ee=x.target.getAttribute("value");b==null||b(ee,x.target,this.targetElement),this.hide()}z!=="click"&&this.hide()},this.initElement(),this.update(y)}initElement(){this.$element=x0("contextmenu",!1,{zIndex:"99"});const{className:a}=this.options;a&&this.$element.classList.add(a),this.context.canvas.getContainer().appendChild(this.$element),Mx("g6-contextmenu-css","style",{},HU,document.head)}show(a){return CM(this,void 0,void 0,function*(){const{enable:y,offset:x}=this.options;if(typeof y=="function"&&!y(a)||!y){this.hide();return}const b=yield this.getDOMContent(a);b instanceof HTMLElement?(this.$element.innerHTML="",this.$element.appendChild(b)):this.$element.innerHTML=b;const z=this.context.graph.getCanvas().getContainer().getBoundingClientRect();this.$element.style.left=`${a.client.x-z.left+x[0]}px`,this.$element.style.top=`${a.client.y-z.top+x[1]}px`,this.$element.style.display="block",this.targetElement=a.target})}hide(){this.$element.style.display="none",this.targetElement=null}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy(),this.$element.remove()}getDOMContent(a){return CM(this,void 0,void 0,function*(){const{getContent:y,getItems:x}=this.options;return x?VU(yield x(a)):yield y(a)})}bindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.on(`canvas:${y}`,this.onTriggerEvent),a.on(`node:${y}`,this.onTriggerEvent),a.on(`edge:${y}`,this.onTriggerEvent),a.on(`combo:${y}`,this.onTriggerEvent),document.addEventListener("click",this.onMenuItemClick)}unbindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.off(`canvas:${y}`,this.onTriggerEvent),a.off(`node:${y}`,this.onTriggerEvent),a.off(`edge:${y}`,this.onTriggerEvent),a.off(`combo:${y}`,this.onTriggerEvent),document.removeEventListener("click",this.onMenuItemClick)}}_y.defaultOptions={trigger:"contextmenu",offset:[4,4],loadingContent:'
    Loading...
    ',getContent:()=>"It is a empty context menu.",enable:()=>!0};class Fy extends Ou{constructor(a,y){super(a,Object.assign({},Fy.defaultOptions,y)),this.edgeBundles={},this.edgePoints={},this.onBundle=()=>{const{model:x,element:b}=this.context,z=x.getEdgeData();this.divideEdges(this.options.divisions);const{cycles:ee,iterRate:re,divRate:ae}=this.options;let{lambda:se,divisions:fe,iterations:me}=this.options;for(let Ae=0;Ae{var je;if(Ue.source===Ue.target)return;const Ke=_r(Ue);Fe[Ke]=this.getEdgeForces(Ue,fe,se);for(let Ze=0;Ze{const Te=_r(Ae),Fe=b.getElement(Te);Fe==null||Fe.update({d:ZA(this.edgePoints[Te])})})},this.bindEvents()}get nodeMap(){const a=this.context.model.getNodeData();return Object.fromEntries(a.map(y=>[_r(y),mg(uu(y))]))}divideEdges(a){this.context.model.getEdgeData().forEach(x=>{var b;const z=_r(x);(b=this.edgePoints)[z]||(b[z]=[]);const ee=this.nodeMap[x.source],re=this.nodeMap[x.target];if(a===1)this.edgePoints[z].push(ee),this.edgePoints[z].push(Nd(ko(ee,re),2)),this.edgePoints[z].push(re);else{const se=(this.edgePoints[z].length===0?cl(ee,re):XU(this.edgePoints[z]))/(a+1);let fe=se;const me=[ee];for(let Ae=1;Aefe;){const je=fe/Ue,Ke=ko(Te,Bd(qs(Fe,Te),je));me.push(Ke),Ue-=fe,fe=se}fe-=Ue}me.push(re),this.edgePoints[z]=me}})}getVectorPosition(a){const y=this.nodeMap[a.source],x=this.nodeMap[a.target],[b,z]=qs(x,y),ee=cl(y,x);return{source:y,target:x,vx:b,vy:z,length:ee}}measureEdgeCompatibility(a,y){const x=this.getVectorPosition(a),b=this.getVectorPosition(y),z=KU(x,b),ee=ZU(x,b),re=QU(x,b),ae=YU(x,b);return z*ee*re*ae}getEdgeBundles(){const a={},y=this.options.bundleThreshold,x=this.context.model.getEdgeData();return x.forEach((b,z)=>{x.forEach((ee,re)=>{var ae,se;if(re<=z)return;this.measureEdgeCompatibility(b,ee)>=y&&(a[ae=_r(b)]||(a[ae]=[]),a[_r(b)].push(ee),a[se=_r(ee)]||(a[se]=[]),a[_r(ee)].push(b))})}),a}getSpringForce(a,y){const{pre:x,cur:b,next:z}=a;return Bd(qs(ko(x,z),Bd(b,2)),y)}getElectrostaticForce(a,y){cf(this.edgeBundles)&&(this.edgeBundles=this.getEdgeBundles());const x=this.edgeBundles[_r(y)];let b=[0,0];return x==null||x.forEach(z=>{const ee=this.edgePoints[_r(z)][a],re=this.edgePoints[_r(y)][a],ae=qs(ee,re),se=cl(ee,re);b=ko(b,Bd(ae,1/se))}),b}getEdgeForces(a,y,x){const b=this.nodeMap[a.source],z=this.nodeMap[a.target],ee=this.options.K/(cl(b,z)*(y+1)),re=[[0,0]],ae=_r(a);for(let se=1;seMath.abs(M_([E.vx,E.vy],[a.vx,a.vy])/(E.length*a.length)),ZU=(E,a)=>{const y=(E.length+a.length)/2;return 2/(y/Math.min(E.length,a.length)+Math.max(E.length,a.length)/y)},QU=(E,a)=>{const y=(E.length+a.length)/2,x=Nd(ko(E.source,E.target),2),b=Nd(ko(a.source,a.target),2);return y/(y+cl(x,b))},PM=(E,a)=>{if(a.source[0]===a.target[0])return[a.source[0],E[1]];if(a.source[1]===a.target[1])return[E[0],a.source[1]];const y=(a.source[1]-a.target[1])/(a.source[0]-a.target[0]),x=(y*y*a.source[0]+y*(E[1]-a.source[1])+E[0])/(y*y+1),b=y*(x-a.source[0])+a.source[1];return[x,b]},wM=(E,a)=>{const y=PM(a.source,E),x=PM(a.target,E),b=Nd(ko(y,x),2),z=Nd(ko(E.source,E.target),2);return cl(y,x)===0?0:Math.max(0,1-2*cl(z,b)/cl(y,x))},YU=(E,a)=>Math.min(wM(E,a),wM(a,E)),XU=E=>{let a=0;for(let y=1;y{if(this.options.trigger==="drag"&&this.isLensOn)return;const b=Iu(x.canvas);this.renderLens(b),this.renderFocusElements()},this.renderLens=x=>{const b=Object.assign({},JU,this.options.style);this.isLensOn||(this.lens=new Eg({style:b}),this.canvas.appendChild(this.lens)),Object.assign(b,Rd(x),{size:this.r*2}),this.lens.update(b)},this.getFilterData=()=>{const{filter:x}=this.options,{model:b}=this.context,z=b.getData();if(!x)return z;const{nodes:ee,edges:re,combos:ae}=z;return{nodes:ee.filter(se=>x(_r(se),"node")),edges:re.filter(se=>x(_r(se),"edge")),combos:ae.filter(se=>x(_r(se),"combo"))}},this.getFocusElements=x=>{const{nodes:b,edges:z}=this.getFilterData(),ee=b.filter(se=>cl(uu(se),x)_r(se)),ae=z.filter(se=>{const{source:fe,target:me}=se,Ae=re.includes(fe),Te=re.includes(me);switch(this.options.nodeType){case"both":return Ae&&Te;case"either":return Ae!==Te;case"source":return Ae&&!Te;case"target":return!Ae&&Te;default:return!1}});return{nodes:ee,edges:ae}},this.renderFocusElements=()=>{const{element:x,graph:b}=this.context;if(!this.isLensOn)return;const z=this.lens.getCenter(),{nodes:ee,edges:re}=this.getFocusElements(z),ae=new Set,se=fe=>{const me=_r(fe);ae.add(me);const Ae=x.getElement(me);if(!Ae)return;const Te=this.shapes.get(me)||Ae.cloneNode();Te.setPosition(Ae.getPosition()),Te.id=Ae.id,this.shapes.has(me)?Object.entries(Ae.attributes).forEach(([je,Ke])=>{Te.style[je]!==Ke&&(Te.style[je]=Ke)}):(this.canvas.appendChild(Te),this.shapes.set(me,Te));const Fe=b.getElementType(me),Ue=this.getElementStyle(Fe,fe);Te.update(Ue)};ee.forEach(se),re.forEach(se),this.shapes.forEach((fe,me)=>{ae.has(me)||(fe.destroy(),this.shapes.delete(me))})},this.scaleRByWheel=x=>{var b;this.options.preventDefault&&x.preventDefault();const{clientX:z,clientY:ee,deltaX:re,deltaY:ae}=x,{graph:se,canvas:fe}=this.context,me=se.getCanvasByClient([z,ee]),Ae=(b=this.lens)===null||b===void 0?void 0:b.getCenter();if(!this.isLensOn||cl(me,Ae)>this.r)return;const{maxR:Te,minR:Fe}=this.options,Ue=re+ae>0?1/(1-MM):1-MM,je=Math.min(...fe.getSize())/2;this.r=Math.max(Fe||0,Math.min(Te||je,this.r*Ue)),this.renderLens(Ae),this.renderFocusElements()},this.isLensDragging=!1,this.onDragStart=x=>{var b;const z=Iu(x.canvas),ee=(b=this.lens)===null||b===void 0?void 0:b.getCenter();!this.isLensOn||cl(z,ee)>this.r||(this.isLensDragging=!0)},this.onDrag=x=>{if(!this.isLensDragging)return;const b=Iu(x.canvas);this.renderLens(b),this.renderFocusElements()},this.onDragEnd=()=>{this.isLensDragging=!1},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}getElementStyle(a,y){const x=a==="node"?this.options.nodeStyle:this.options.edgeStyle;return typeof x=="function"?x(y):x}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b}=this.options,z=y.getCanvas().getLayer();["click","drag"].includes(x)&&z.addEventListener(ga.CLICK,this.onEdgeFilter),x==="pointermove"?z.addEventListener(ga.POINTER_MOVE,this.onEdgeFilter):x==="drag"&&(z.addEventListener(ga.DRAG_START,this.onDragStart),z.addEventListener(ga.DRAG,this.onDrag),z.addEventListener(ga.DRAG_END,this.onDragEnd)),b==="wheel"&&((a=this.graphDom)===null||a===void 0||a.addEventListener(ga.WHEEL,this.scaleRByWheel,{passive:!1}))}unbindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b}=this.options,z=y.getCanvas().getLayer();["click","drag"].includes(x)&&z.removeEventListener(ga.CLICK,this.onEdgeFilter),x==="pointermove"?z.removeEventListener(ga.POINTER_MOVE,this.onEdgeFilter):x==="drag"&&(z.removeEventListener(ga.DRAG_START,this.onDragStart),z.removeEventListener(ga.DRAG,this.onDrag),z.removeEventListener(ga.DRAG_END,this.onDragEnd)),b==="wheel"&&((a=this.graphDom)===null||a===void 0||a.removeEventListener(ga.WHEEL,this.scaleRByWheel))}update(a){var y;this.unbindEvents(),super.update(a),this.r=(y=a.r)!==null&&y!==void 0?y:this.r,this.bindEvents()}destroy(){this.unbindEvents(),this.isLensOn&&this.lens.destroy(),this.shapes.forEach((a,y)=>{a.destroy(),this.shapes.delete(y)}),super.destroy()}}ky.defaultOptions={trigger:"pointermove",r:60,nodeType:"both",filter:()=>!0,style:{lineWidth:2},nodeStyle:{label:!1},edgeStyle:{label:!0},scaleRBy:"wheel",preventDefault:!0};const qU={fill:"#ccc",fillOpacity:.1,lineWidth:2,stroke:"#000",strokeOpacity:.8,labelFontSize:12},DM=.05,IM=.1;class zy extends Ou{constructor(a,y){super(a,Object.assign({},zy.defaultOptions,y)),this.r=this.options.r,this.d=this.options.d,this.onCreateFisheye=x=>{if(this.options.trigger==="drag"&&this.isLensOn)return;const b=Iu(x.canvas);this.onMagnify(b)},this.onMagnify=x=>{x.some(isNaN)||(this.renderLens(x),this.renderFocusElements())},this.renderLens=x=>{const b=Object.assign({},qU,this.options.style);this.isLensOn||(this.lens=new Eg({style:b}),this.canvas.appendChild(this.lens)),Object.assign(b,Rd(x),{size:this.r*2,label:this.options.showDPercent,labelText:this.getDPercent()}),this.lens.update(b)},this.getDPercent=()=>{const{minD:x,maxD:b}=this.options;return`${Math.round((this.d-x)/(b-x)*100)}%`},this.prevMagnifiedStyleMap=new Map,this.prevOriginStyleMap=new Map,this.renderFocusElements=()=>{if(!this.isLensOn)return;const{graph:x}=this.context,b=this.lens.getCenter(),z=(this.d+1)*this.r,ee=new Map,re=new Map;x.getNodeData().forEach(se=>{const fe=uu(se),me=cl(fe,b);if(me>this.r)return;const Ae=z*me/(this.d*me+this.r),[Te,Fe]=fe,[Ue,je]=b,Ke=(Te-Ue)/me,Ze=(Fe-je)/me,Je=[Ue+Ae*Ke,je+Ae*Ze],tt=_r(se),at=this.getNodeStyle(se),st=xg(x.getElementRenderStyle(tt),Object.keys(at));ee.set(tt,Object.assign(Object.assign({},Rd(Je)),at)),re.set(tt,Object.assign(Object.assign({},Rd(fe)),st))}),this.updateStyle(ee,re)},this.getNodeStyle=x=>{const{nodeStyle:b}=this.options;return typeof b=="function"?b(x):b},this.updateStyle=(x,b)=>{const{graph:z,element:ee}=this.context,{enter:re,exit:ae,keep:se}=ch(Array.from(this.prevMagnifiedStyleMap.keys()),Array.from(x.keys()),Ae=>Ae),fe=new Set,me=(Ae,Te)=>{const Fe=ee.getElement(Ae);Fe==null||Fe.update(Te),z.getRelatedEdgesData(Ae).forEach(Ue=>{fe.add(_r(Ue))})};[...re,...se].forEach(Ae=>{me(Ae,x.get(Ae))}),ae.forEach(Ae=>{me(Ae,this.prevOriginStyleMap.get(Ae)),this.prevOriginStyleMap.delete(Ae)}),fe.forEach(Ae=>{const Te=ee.getElement(Ae);Te==null||Te.update({})}),this.prevMagnifiedStyleMap=x,b.forEach((Ae,Te)=>{this.prevOriginStyleMap.has(Te)||this.prevOriginStyleMap.set(Te,Ae)})},this.isWheelValid=x=>{if(this.options.preventDefault&&x.preventDefault(),!this.isLensOn)return!1;const{clientX:b,clientY:z}=x,ee=this.context.graph.getCanvasByClient([b,z]),re=this.lens.getCenter();return!(cl(ee,re)>this.r)},this.scaleR=x=>{const{maxR:b,minR:z}=this.options,ee=x?1/(1-DM):1-DM,re=Math.min(...this.context.canvas.getSize())/2;this.r=Math.max(z||0,Math.min(b||re,this.r*ee))},this.scaleD=x=>{const{maxD:b,minD:z}=this.options,ee=x?this.d+IM:this.d-IM;this.d=Math.max(z,Math.min(b,ee))},this.scaleRByWheel=x=>{if(!this.isWheelValid(x))return;const{deltaX:b,deltaY:z}=x;this.scaleR(b+z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.scaleDByWheel=x=>{if(!this.isWheelValid(x))return;const{deltaX:b,deltaY:z}=x;this.scaleD(b+z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.isDragValid=x=>{if(this.options.preventDefault&&x.preventDefault(),!this.isLensOn)return!1;const b=Iu(x.canvas),z=this.lens.getCenter();return!(cl(b,z)>this.r)},this.isLensDragging=!1,this.onDragStart=x=>{this.isDragValid(x)&&(this.isLensDragging=!0)},this.onDrag=x=>{if(!this.isLensDragging)return;const b=Iu(x.canvas);this.onMagnify(b)},this.onDragEnd=()=>{this.isLensDragging=!1},this.scaleRByDrag=x=>{if(!this.isLensDragging)return;const{dx:b,dy:z}=x;this.scaleR(b-z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.scaleDByDrag=x=>{if(!this.isLensDragging)return;const{dx:b,dy:z}=x;this.scaleD(b-z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b,scaleDBy:z}=this.options,ee=y.getCanvas().getLayer();if(["click","drag"].includes(x)&&ee.addEventListener(ga.CLICK,this.onCreateFisheye),x==="pointermove"&&ee.addEventListener(ga.POINTER_MOVE,this.onCreateFisheye),x==="drag"||b==="drag"||z==="drag"){ee.addEventListener(ga.DRAG_START,this.onDragStart),ee.addEventListener(ga.DRAG_END,this.onDragEnd);const re=x==="drag"?this.onDrag:b==="drag"?this.scaleRByDrag:this.scaleDByDrag;ee.addEventListener(ga.DRAG,re)}if(b==="wheel"||z==="wheel"){const re=b==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(a=this.graphDom)===null||a===void 0||a.addEventListener(ga.WHEEL,re,{passive:!1})}}unbindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b,scaleDBy:z}=this.options,ee=y.getCanvas().getLayer();if(["click","drag"].includes(x)&&ee.removeEventListener(ga.CLICK,this.onCreateFisheye),x==="pointermove"&&ee.removeEventListener(ga.POINTER_MOVE,this.onCreateFisheye),x==="drag"||b==="drag"||z==="drag"){ee.removeEventListener(ga.DRAG_START,this.onDragStart),ee.removeEventListener(ga.DRAG_END,this.onDragEnd);const re=x==="drag"?this.onDrag:b==="drag"?this.scaleRByDrag:this.scaleDByDrag;ee.removeEventListener(ga.DRAG,re)}if(b==="wheel"||z==="wheel"){const re=b==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(a=this.graphDom)===null||a===void 0||a.removeEventListener(ga.WHEEL,re)}}update(a){var y,x;this.unbindEvents(),super.update(a),this.r=(y=a.r)!==null&&y!==void 0?y:this.r,this.d=(x=a.d)!==null&&x!==void 0?x:this.d,this.bindEvents()}destroy(){var a;this.unbindEvents(),this.isLensOn&&((a=this.lens)===null||a===void 0||a.destroy()),this.prevMagnifiedStyleMap.clear(),this.prevOriginStyleMap.clear(),super.destroy()}}zy.defaultOptions={trigger:"pointermove",r:120,d:1.5,maxD:5,minD:0,showDPercent:!0,style:{},nodeStyle:{label:!0},preventDefault:!0};class Uy extends Ou{constructor(a,y){super(a,Object.assign({},Uy.defaultOptions,y)),this.$el=this.context.canvas.getContainer(),this.graphSize=[0,0],this.onFullscreenChange=()=>{var x,b,z,ee;const re=!!document.fullscreenElement;this.options.autoFit&&this.setGraphSize(re),re?(b=(x=this.options).onEnter)===null||b===void 0||b.call(x):(ee=(z=this.options).onExit)===null||ee===void 0||ee.call(z)},this.shortcut=new f0(a.graph),this.bindEvents(),this.style=document.createElement("style"),document.head.appendChild(this.style),this.style.innerHTML=` +`;var CM=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class _y extends Ou{constructor(a,y){super(a,Object.assign({},_y.defaultOptions,y)),this.targetElement=null,this.onTriggerEvent=x=>{var b;(b=x.preventDefault)===null||b===void 0||b.call(x),this.show(x)},this.onMenuItemClick=x=>{const{onClick:b,trigger:z}=this.options;if(x.target instanceof HTMLElement&&x.target.className.includes("g6-contextmenu-li")){const ee=x.target.getAttribute("value");b==null||b(ee,x.target,this.targetElement),this.hide()}z!=="click"&&this.hide()},this.initElement(),this.update(y)}initElement(){this.$element=x0("contextmenu",!1,{zIndex:"99"});const{className:a}=this.options;a&&this.$element.classList.add(a),this.context.canvas.getContainer().appendChild(this.$element),Mx("g6-contextmenu-css","style",{},HU,document.head)}show(a){return CM(this,void 0,void 0,function*(){const{enable:y,offset:x}=this.options;if(typeof y=="function"&&!y(a)||!y){this.hide();return}const b=yield this.getDOMContent(a);b instanceof HTMLElement?(this.$element.innerHTML="",this.$element.appendChild(b)):this.$element.innerHTML=b;const z=this.context.graph.getCanvas().getContainer().getBoundingClientRect();this.$element.style.left=`${a.client.x-z.left+x[0]}px`,this.$element.style.top=`${a.client.y-z.top+x[1]}px`,this.$element.style.display="block",this.targetElement=a.target})}hide(){this.$element.style.display="none",this.targetElement=null}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy(),this.$element.remove()}getDOMContent(a){return CM(this,void 0,void 0,function*(){const{getContent:y,getItems:x}=this.options;return x?VU(yield x(a)):yield y(a)})}bindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.on(`canvas:${y}`,this.onTriggerEvent),a.on(`node:${y}`,this.onTriggerEvent),a.on(`edge:${y}`,this.onTriggerEvent),a.on(`combo:${y}`,this.onTriggerEvent),document.addEventListener("click",this.onMenuItemClick)}unbindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;a.off(`canvas:${y}`,this.onTriggerEvent),a.off(`node:${y}`,this.onTriggerEvent),a.off(`edge:${y}`,this.onTriggerEvent),a.off(`combo:${y}`,this.onTriggerEvent),document.removeEventListener("click",this.onMenuItemClick)}}_y.defaultOptions={trigger:"contextmenu",offset:[4,4],loadingContent:'
    Loading...
    ',getContent:()=>"It is a empty context menu.",enable:()=>!0};class Fy extends Ou{constructor(a,y){super(a,Object.assign({},Fy.defaultOptions,y)),this.edgeBundles={},this.edgePoints={},this.onBundle=()=>{const{model:x,element:b}=this.context,z=x.getEdgeData();this.divideEdges(this.options.divisions);const{cycles:ee,iterRate:re,divRate:ae}=this.options;let{lambda:se,divisions:fe,iterations:me}=this.options;for(let Ae=0;Ae{var je;if(Ue.source===Ue.target)return;const Ke=_r(Ue);Fe[Ke]=this.getEdgeForces(Ue,fe,se);for(let Ze=0;Ze{const Te=_r(Ae),Fe=b.getElement(Te);Fe==null||Fe.update({d:ZA(this.edgePoints[Te])})})},this.bindEvents()}get nodeMap(){const a=this.context.model.getNodeData();return Object.fromEntries(a.map(y=>[_r(y),mg(uu(y))]))}divideEdges(a){this.context.model.getEdgeData().forEach(x=>{var b;const z=_r(x);(b=this.edgePoints)[z]||(b[z]=[]);const ee=this.nodeMap[x.source],re=this.nodeMap[x.target];if(a===1)this.edgePoints[z].push(ee),this.edgePoints[z].push(Nd(ko(ee,re),2)),this.edgePoints[z].push(re);else{const se=(this.edgePoints[z].length===0?cl(ee,re):XU(this.edgePoints[z]))/(a+1);let fe=se;const me=[ee];for(let Ae=1;Aefe;){const je=fe/Ue,Ke=ko(Te,Bd(qs(Fe,Te),je));me.push(Ke),Ue-=fe,fe=se}fe-=Ue}me.push(re),this.edgePoints[z]=me}})}getVectorPosition(a){const y=this.nodeMap[a.source],x=this.nodeMap[a.target],[b,z]=qs(x,y),ee=cl(y,x);return{source:y,target:x,vx:b,vy:z,length:ee}}measureEdgeCompatibility(a,y){const x=this.getVectorPosition(a),b=this.getVectorPosition(y),z=KU(x,b),ee=ZU(x,b),re=QU(x,b),ae=YU(x,b);return z*ee*re*ae}getEdgeBundles(){const a={},y=this.options.bundleThreshold,x=this.context.model.getEdgeData();return x.forEach((b,z)=>{x.forEach((ee,re)=>{var ae,se;if(re<=z)return;this.measureEdgeCompatibility(b,ee)>=y&&(a[ae=_r(b)]||(a[ae]=[]),a[_r(b)].push(ee),a[se=_r(ee)]||(a[se]=[]),a[_r(ee)].push(b))})}),a}getSpringForce(a,y){const{pre:x,cur:b,next:z}=a;return Bd(qs(ko(x,z),Bd(b,2)),y)}getElectrostaticForce(a,y){cf(this.edgeBundles)&&(this.edgeBundles=this.getEdgeBundles());const x=this.edgeBundles[_r(y)];let b=[0,0];return x==null||x.forEach(z=>{const ee=this.edgePoints[_r(z)][a],re=this.edgePoints[_r(y)][a],ae=qs(ee,re),se=cl(ee,re);b=ko(b,Bd(ae,1/se))}),b}getEdgeForces(a,y,x){const b=this.nodeMap[a.source],z=this.nodeMap[a.target],ee=this.options.K/(cl(b,z)*(y+1)),re=[[0,0]],ae=_r(a);for(let se=1;seMath.abs(M_([E.vx,E.vy],[a.vx,a.vy])/(E.length*a.length)),ZU=(E,a)=>{const y=(E.length+a.length)/2;return 2/(y/Math.min(E.length,a.length)+Math.max(E.length,a.length)/y)},QU=(E,a)=>{const y=(E.length+a.length)/2,x=Nd(ko(E.source,E.target),2),b=Nd(ko(a.source,a.target),2);return y/(y+cl(x,b))},PM=(E,a)=>{if(a.source[0]===a.target[0])return[a.source[0],E[1]];if(a.source[1]===a.target[1])return[E[0],a.source[1]];const y=(a.source[1]-a.target[1])/(a.source[0]-a.target[0]),x=(y*y*a.source[0]+y*(E[1]-a.source[1])+E[0])/(y*y+1),b=y*(x-a.source[0])+a.source[1];return[x,b]},wM=(E,a)=>{const y=PM(a.source,E),x=PM(a.target,E),b=Nd(ko(y,x),2),z=Nd(ko(E.source,E.target),2);return cl(y,x)===0?0:Math.max(0,1-2*cl(z,b)/cl(y,x))},YU=(E,a)=>Math.min(wM(E,a),wM(a,E)),XU=E=>{let a=0;for(let y=1;y{if(this.options.trigger==="drag"&&this.isLensOn)return;const b=Iu(x.canvas);this.renderLens(b),this.renderFocusElements()},this.renderLens=x=>{const b=Object.assign({},JU,this.options.style);this.isLensOn||(this.lens=new Eg({style:b}),this.canvas.appendChild(this.lens)),Object.assign(b,Rd(x),{size:this.r*2}),this.lens.update(b)},this.getFilterData=()=>{const{filter:x}=this.options,{model:b}=this.context,z=b.getData();if(!x)return z;const{nodes:ee,edges:re,combos:ae}=z;return{nodes:ee.filter(se=>x(_r(se),"node")),edges:re.filter(se=>x(_r(se),"edge")),combos:ae.filter(se=>x(_r(se),"combo"))}},this.getFocusElements=x=>{const{nodes:b,edges:z}=this.getFilterData(),ee=b.filter(se=>cl(uu(se),x)_r(se)),ae=z.filter(se=>{const{source:fe,target:me}=se,Ae=re.includes(fe),Te=re.includes(me);switch(this.options.nodeType){case"both":return Ae&&Te;case"either":return Ae!==Te;case"source":return Ae&&!Te;case"target":return!Ae&&Te;default:return!1}});return{nodes:ee,edges:ae}},this.renderFocusElements=()=>{const{element:x,graph:b}=this.context;if(!this.isLensOn)return;const z=this.lens.getCenter(),{nodes:ee,edges:re}=this.getFocusElements(z),ae=new Set,se=fe=>{const me=_r(fe);ae.add(me);const Ae=x.getElement(me);if(!Ae)return;const Te=this.shapes.get(me)||Ae.cloneNode();Te.setPosition(Ae.getPosition()),Te.id=Ae.id,this.shapes.has(me)?Object.entries(Ae.attributes).forEach(([je,Ke])=>{Te.style[je]!==Ke&&(Te.style[je]=Ke)}):(this.canvas.appendChild(Te),this.shapes.set(me,Te));const Fe=b.getElementType(me),Ue=this.getElementStyle(Fe,fe);Te.update(Ue)};ee.forEach(se),re.forEach(se),this.shapes.forEach((fe,me)=>{ae.has(me)||(fe.destroy(),this.shapes.delete(me))})},this.scaleRByWheel=x=>{var b;this.options.preventDefault&&x.preventDefault();const{clientX:z,clientY:ee,deltaX:re,deltaY:ae}=x,{graph:se,canvas:fe}=this.context,me=se.getCanvasByClient([z,ee]),Ae=(b=this.lens)===null||b===void 0?void 0:b.getCenter();if(!this.isLensOn||cl(me,Ae)>this.r)return;const{maxR:Te,minR:Fe}=this.options,Ue=re+ae>0?1/(1-MM):1-MM,je=Math.min(...fe.getSize())/2;this.r=Math.max(Fe||0,Math.min(Te||je,this.r*Ue)),this.renderLens(Ae),this.renderFocusElements()},this.isLensDragging=!1,this.onDragStart=x=>{var b;const z=Iu(x.canvas),ee=(b=this.lens)===null||b===void 0?void 0:b.getCenter();!this.isLensOn||cl(z,ee)>this.r||(this.isLensDragging=!0)},this.onDrag=x=>{if(!this.isLensDragging)return;const b=Iu(x.canvas);this.renderLens(b),this.renderFocusElements()},this.onDragEnd=()=>{this.isLensDragging=!1},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}getElementStyle(a,y){const x=a==="node"?this.options.nodeStyle:this.options.edgeStyle;return typeof x=="function"?x(y):x}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b}=this.options,z=y.getCanvas().getLayer();["click","drag"].includes(x)&&z.addEventListener(va.CLICK,this.onEdgeFilter),x==="pointermove"?z.addEventListener(va.POINTER_MOVE,this.onEdgeFilter):x==="drag"&&(z.addEventListener(va.DRAG_START,this.onDragStart),z.addEventListener(va.DRAG,this.onDrag),z.addEventListener(va.DRAG_END,this.onDragEnd)),b==="wheel"&&((a=this.graphDom)===null||a===void 0||a.addEventListener(va.WHEEL,this.scaleRByWheel,{passive:!1}))}unbindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b}=this.options,z=y.getCanvas().getLayer();["click","drag"].includes(x)&&z.removeEventListener(va.CLICK,this.onEdgeFilter),x==="pointermove"?z.removeEventListener(va.POINTER_MOVE,this.onEdgeFilter):x==="drag"&&(z.removeEventListener(va.DRAG_START,this.onDragStart),z.removeEventListener(va.DRAG,this.onDrag),z.removeEventListener(va.DRAG_END,this.onDragEnd)),b==="wheel"&&((a=this.graphDom)===null||a===void 0||a.removeEventListener(va.WHEEL,this.scaleRByWheel))}update(a){var y;this.unbindEvents(),super.update(a),this.r=(y=a.r)!==null&&y!==void 0?y:this.r,this.bindEvents()}destroy(){this.unbindEvents(),this.isLensOn&&this.lens.destroy(),this.shapes.forEach((a,y)=>{a.destroy(),this.shapes.delete(y)}),super.destroy()}}ky.defaultOptions={trigger:"pointermove",r:60,nodeType:"both",filter:()=>!0,style:{lineWidth:2},nodeStyle:{label:!1},edgeStyle:{label:!0},scaleRBy:"wheel",preventDefault:!0};const qU={fill:"#ccc",fillOpacity:.1,lineWidth:2,stroke:"#000",strokeOpacity:.8,labelFontSize:12},DM=.05,IM=.1;class zy extends Ou{constructor(a,y){super(a,Object.assign({},zy.defaultOptions,y)),this.r=this.options.r,this.d=this.options.d,this.onCreateFisheye=x=>{if(this.options.trigger==="drag"&&this.isLensOn)return;const b=Iu(x.canvas);this.onMagnify(b)},this.onMagnify=x=>{x.some(isNaN)||(this.renderLens(x),this.renderFocusElements())},this.renderLens=x=>{const b=Object.assign({},qU,this.options.style);this.isLensOn||(this.lens=new Eg({style:b}),this.canvas.appendChild(this.lens)),Object.assign(b,Rd(x),{size:this.r*2,label:this.options.showDPercent,labelText:this.getDPercent()}),this.lens.update(b)},this.getDPercent=()=>{const{minD:x,maxD:b}=this.options;return`${Math.round((this.d-x)/(b-x)*100)}%`},this.prevMagnifiedStyleMap=new Map,this.prevOriginStyleMap=new Map,this.renderFocusElements=()=>{if(!this.isLensOn)return;const{graph:x}=this.context,b=this.lens.getCenter(),z=(this.d+1)*this.r,ee=new Map,re=new Map;x.getNodeData().forEach(se=>{const fe=uu(se),me=cl(fe,b);if(me>this.r)return;const Ae=z*me/(this.d*me+this.r),[Te,Fe]=fe,[Ue,je]=b,Ke=(Te-Ue)/me,Ze=(Fe-je)/me,Je=[Ue+Ae*Ke,je+Ae*Ze],tt=_r(se),at=this.getNodeStyle(se),st=xg(x.getElementRenderStyle(tt),Object.keys(at));ee.set(tt,Object.assign(Object.assign({},Rd(Je)),at)),re.set(tt,Object.assign(Object.assign({},Rd(fe)),st))}),this.updateStyle(ee,re)},this.getNodeStyle=x=>{const{nodeStyle:b}=this.options;return typeof b=="function"?b(x):b},this.updateStyle=(x,b)=>{const{graph:z,element:ee}=this.context,{enter:re,exit:ae,keep:se}=ch(Array.from(this.prevMagnifiedStyleMap.keys()),Array.from(x.keys()),Ae=>Ae),fe=new Set,me=(Ae,Te)=>{const Fe=ee.getElement(Ae);Fe==null||Fe.update(Te),z.getRelatedEdgesData(Ae).forEach(Ue=>{fe.add(_r(Ue))})};[...re,...se].forEach(Ae=>{me(Ae,x.get(Ae))}),ae.forEach(Ae=>{me(Ae,this.prevOriginStyleMap.get(Ae)),this.prevOriginStyleMap.delete(Ae)}),fe.forEach(Ae=>{const Te=ee.getElement(Ae);Te==null||Te.update({})}),this.prevMagnifiedStyleMap=x,b.forEach((Ae,Te)=>{this.prevOriginStyleMap.has(Te)||this.prevOriginStyleMap.set(Te,Ae)})},this.isWheelValid=x=>{if(this.options.preventDefault&&x.preventDefault(),!this.isLensOn)return!1;const{clientX:b,clientY:z}=x,ee=this.context.graph.getCanvasByClient([b,z]),re=this.lens.getCenter();return!(cl(ee,re)>this.r)},this.scaleR=x=>{const{maxR:b,minR:z}=this.options,ee=x?1/(1-DM):1-DM,re=Math.min(...this.context.canvas.getSize())/2;this.r=Math.max(z||0,Math.min(b||re,this.r*ee))},this.scaleD=x=>{const{maxD:b,minD:z}=this.options,ee=x?this.d+IM:this.d-IM;this.d=Math.max(z,Math.min(b,ee))},this.scaleRByWheel=x=>{if(!this.isWheelValid(x))return;const{deltaX:b,deltaY:z}=x;this.scaleR(b+z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.scaleDByWheel=x=>{if(!this.isWheelValid(x))return;const{deltaX:b,deltaY:z}=x;this.scaleD(b+z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.isDragValid=x=>{if(this.options.preventDefault&&x.preventDefault(),!this.isLensOn)return!1;const b=Iu(x.canvas),z=this.lens.getCenter();return!(cl(b,z)>this.r)},this.isLensDragging=!1,this.onDragStart=x=>{this.isDragValid(x)&&(this.isLensDragging=!0)},this.onDrag=x=>{if(!this.isLensDragging)return;const b=Iu(x.canvas);this.onMagnify(b)},this.onDragEnd=()=>{this.isLensDragging=!1},this.scaleRByDrag=x=>{if(!this.isLensDragging)return;const{dx:b,dy:z}=x;this.scaleR(b-z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.scaleDByDrag=x=>{if(!this.isLensDragging)return;const{dx:b,dy:z}=x;this.scaleD(b-z>0);const ee=this.lens.getCenter();this.onMagnify(ee)},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b,scaleDBy:z}=this.options,ee=y.getCanvas().getLayer();if(["click","drag"].includes(x)&&ee.addEventListener(va.CLICK,this.onCreateFisheye),x==="pointermove"&&ee.addEventListener(va.POINTER_MOVE,this.onCreateFisheye),x==="drag"||b==="drag"||z==="drag"){ee.addEventListener(va.DRAG_START,this.onDragStart),ee.addEventListener(va.DRAG_END,this.onDragEnd);const re=x==="drag"?this.onDrag:b==="drag"?this.scaleRByDrag:this.scaleDByDrag;ee.addEventListener(va.DRAG,re)}if(b==="wheel"||z==="wheel"){const re=b==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(a=this.graphDom)===null||a===void 0||a.addEventListener(va.WHEEL,re,{passive:!1})}}unbindEvents(){var a;const{graph:y}=this.context,{trigger:x,scaleRBy:b,scaleDBy:z}=this.options,ee=y.getCanvas().getLayer();if(["click","drag"].includes(x)&&ee.removeEventListener(va.CLICK,this.onCreateFisheye),x==="pointermove"&&ee.removeEventListener(va.POINTER_MOVE,this.onCreateFisheye),x==="drag"||b==="drag"||z==="drag"){ee.removeEventListener(va.DRAG_START,this.onDragStart),ee.removeEventListener(va.DRAG_END,this.onDragEnd);const re=x==="drag"?this.onDrag:b==="drag"?this.scaleRByDrag:this.scaleDByDrag;ee.removeEventListener(va.DRAG,re)}if(b==="wheel"||z==="wheel"){const re=b==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(a=this.graphDom)===null||a===void 0||a.removeEventListener(va.WHEEL,re)}}update(a){var y,x;this.unbindEvents(),super.update(a),this.r=(y=a.r)!==null&&y!==void 0?y:this.r,this.d=(x=a.d)!==null&&x!==void 0?x:this.d,this.bindEvents()}destroy(){var a;this.unbindEvents(),this.isLensOn&&((a=this.lens)===null||a===void 0||a.destroy()),this.prevMagnifiedStyleMap.clear(),this.prevOriginStyleMap.clear(),super.destroy()}}zy.defaultOptions={trigger:"pointermove",r:120,d:1.5,maxD:5,minD:0,showDPercent:!0,style:{},nodeStyle:{label:!0},preventDefault:!0};class Uy extends Ou{constructor(a,y){super(a,Object.assign({},Uy.defaultOptions,y)),this.$el=this.context.canvas.getContainer(),this.graphSize=[0,0],this.onFullscreenChange=()=>{var x,b,z,ee;const re=!!document.fullscreenElement;this.options.autoFit&&this.setGraphSize(re),re?(b=(x=this.options).onEnter)===null||b===void 0||b.call(x):(ee=(z=this.options).onExit)===null||ee===void 0||ee.call(z)},this.shortcut=new f0(a.graph),this.bindEvents(),this.style=document.createElement("style"),document.head.appendChild(this.style),this.style.innerHTML=` :not(:root):fullscreen::backdrop { background: transparent; } - `}bindEvents(){this.unbindEvents(),this.shortcut.unbindAll();const{request:a=[],exit:y=[]}=this.options.trigger;this.shortcut.bind(a,this.request),this.shortcut.bind(y,this.exit),["webkitfullscreenchange","mozfullscreenchange","fullscreenchange","MSFullscreenChange"].forEach(b=>{document.addEventListener(b,this.onFullscreenChange,!1)})}unbindEvents(){this.shortcut.unbindAll(),["webkitfullscreenchange","mozfullscreenchange","fullscreenchange","MSFullscreenChange"].forEach(y=>{document.removeEventListener(y,this.onFullscreenChange,!1)})}setGraphSize(a=!0){var y,x;let b,z;a?(b=((y=globalThis.screen)===null||y===void 0?void 0:y.width)||0,z=((x=globalThis.screen)===null||x===void 0?void 0:x.height)||0,this.graphSize=this.context.graph.getSize()):[b,z]=this.graphSize,this.context.graph.setSize(b,z),this.context.graph.render()}request(){document.fullscreenElement||!$U()||this.$el.requestFullscreen().catch(a=>{Ac.warn(`Error attempting to enable full-screen: ${a.message} (${a.name})`)})}exit(){document.fullscreenElement&&document.exitFullscreen()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.exit(),this.style.remove(),super.destroy()}}Uy.defaultOptions={trigger:{},autoFit:!0};function $U(){return document.fullscreenEnabled||Reflect.get(document,"webkitFullscreenEnabled")||Reflect.get(document,"mozFullscreenEnabled")||Reflect.get(document,"msFullscreenEnabled")}class Wy extends Ou{constructor(a,y){super(a,Object.assign({},Wy.defaultOptions,y)),this.$element=x0("grid-line",!0),this.offset=[0,0],this.currentScale=1,this.followZoom=b=>{const{data:{scale:z,origin:ee}}=b;if(!z)return;const re=this.currentScale;this.currentScale=z;const ae=z/re,se=Bd(ee||this.context.graph.getCanvasCenter(),1-ae),fe=this.baseSize*z,me=Bd(this.offset,ae),Ae=wA(me,fe),Te=ko(Ae,se);this.$element.style.backgroundSize=`${fe}px ${fe}px`,this.$element.style.backgroundPosition=`${Te[0]}px ${Te[1]}px`,this.offset=wA(Te,fe)},this.followTranslate=b=>{if(!this.options.follow)return;const{data:{translate:z}}=b;z&&this.updateOffset(z)},this.onTransform=b=>{const z=this.parseFollow(this.options.follow);z.zoom&&this.followZoom(b),z.translate&&this.followTranslate(b)},this.context.canvas.getContainer().prepend(this.$element),this.baseSize=this.options.size,this.updateStyle(),this.bindEvents()}update(a){super.update(a),a.size!==void 0&&(this.baseSize=a.size),this.updateStyle()}bindEvents(){const{graph:a}=this.context;a.on(ci.AFTER_TRANSFORM,this.onTransform)}updateStyle(){const{stroke:a,lineWidth:y,border:x,borderLineWidth:b,borderStroke:z,borderStyle:ee}=this.options,re=this.baseSize*this.currentScale;Object.assign(this.$element.style,{border:x?`${b}px ${ee} ${z}`:"none",backgroundImage:`linear-gradient(${a} ${y}px, transparent ${y}px), linear-gradient(90deg, ${a} ${y}px, transparent ${y}px)`,backgroundSize:`${re}px ${re}px`,backgroundRepeat:"repeat"})}updateOffset(a){const y=this.baseSize*this.currentScale;this.offset=wA(ko(this.offset,a),y),this.$element.style.backgroundPosition=`${this.offset[0]}px ${this.offset[1]}px`}parseFollow(a){var y,x;return H0(a)?{translate:a,zoom:a}:{translate:(y=a==null?void 0:a.translate)!==null&&y!==void 0?y:!1,zoom:(x=a==null?void 0:a.zoom)!==null&&x!==void 0?x:!1}}destroy(){this.context.graph.off(ci.AFTER_TRANSFORM,this.onTransform),this.$element.remove(),super.destroy()}}Wy.defaultOptions={border:!0,borderLineWidth:1,borderStroke:"#eee",borderStyle:"solid",lineWidth:1,size:20,stroke:"#eee"};function Tx(E){const a={Added:new Map,Updated:new Map,Removed:new Map};return E.forEach(y=>{const{type:x,value:b}=y,z=_r(b);if(x==="NodeAdded"||x==="EdgeAdded"||x==="ComboAdded")a.Added.set(z,y);else if(x==="NodeUpdated"||x==="EdgeUpdated"||x==="ComboUpdated")if(a.Added.has(z))a.Added.set(z,{type:x.replace("Updated","Added"),value:b});else if(a.Updated.has(z)){const{original:ee}=a.Updated.get(z);a.Updated.set(z,{type:x,value:b,original:ee})}else a.Removed.has(z)||a.Updated.set(z,y);else(x==="NodeRemoved"||x==="EdgeRemoved"||x==="ComboRemoved")&&(a.Added.has(z)?a.Added.delete(z):(a.Updated.has(z)&&a.Updated.delete(z),a.Removed.set(z,y)))}),[...Array.from(a.Added.values()),...Array.from(a.Updated.values()),...Array.from(a.Removed.values())]}function LM(E){const{NodeAdded:a=[],NodeUpdated:y=[],NodeRemoved:x=[],EdgeAdded:b=[],EdgeUpdated:z=[],EdgeRemoved:ee=[],ComboAdded:re=[],ComboUpdated:ae=[],ComboRemoved:se=[]}=sp(E,fe=>fe.type);return{add:{nodes:a,edges:b,combos:re},update:{nodes:y,edges:z,combos:ae},remove:{nodes:x,edges:ee,combos:se}}}function OM(E,a){for(const y in E)jl(E[y])&&!Array.isArray(E[y])&&E[y]!==null?(a[y]||(a[y]={}),OM(E[y],a[y])):a[y]===void 0&&(a[y]=cv(y))}function eW(E,a=!1,y){const x={animation:a,current:{add:{},update:{},remove:{}},original:{add:{},update:{},remove:{}}},{add:b,update:z,remove:ee}=LM(Tx(E));return["nodes","edges","combos"].forEach(re=>{z[re]&&z[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);let Ae=Object.assign({},ae.original);if(y){const Te=y.graph.getElementType(_r(ae.original)),Fe=Te==="edge"?"stroke":"fill",Ue=y.element.getElementComputedStyle(Te,ae.original);Ae=Object.assign(Object.assign({},ae.original),{style:Object.assign({[Fe]:Ue[Fe]},ae.original.style)})}OM(me,Ae),(se=x.current.update)[re]||(se[re]=[]),x.current.update[re].push(me),(fe=x.original.update)[re]||(fe[re]=[]),x.original.update[re].push(Ae)}),b[re]&&b[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);(se=x.current.add)[re]||(se[re]=[]),x.current.add[re].push(me),(fe=x.original.remove)[re]||(fe[re]=[]),x.original.remove[re].push(me)}),ee[re]&&ee[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);(se=x.current.remove)[re]||(se[re]=[]),x.current.remove[re].push(me),(fe=x.original.add)[re]||(fe[re]=[]),x.original.add[re].push(me)})}),x}class jy extends Ou{constructor(a,y){super(a,Object.assign({},jy.defaultOptions,y)),this.batchChanges=null,this.batchAnimation=!1,this.undoStack=[],this.redoStack=[],this.freezed=!1,this.executeCommand=(b,z=!0)=>{var ee,re,ae;this.freezed=!0,(re=(ee=this.options).executeCommand)===null||re===void 0||re.call(ee,b);const se=z?b.original:b.current;this.context.graph.addData(se.add),this.context.graph.updateData(se.update),this.context.graph.removeData(W2(se.remove,!1)),(ae=this.context.element)===null||ae===void 0||ae.draw({silence:!0,animation:b.animation}),this.freezed=!1},this.addCommand=b=>{var z;if(!this.freezed){if(b.type===ci.AFTER_DRAW){const{dataChanges:ee=[],animation:re=!0}=b.data;if(!((z=this.context.batch)===null||z===void 0)&&z.isBatching){if(!this.batchChanges)return;this.batchChanges.push(ee),this.batchAnimation&&(this.batchAnimation=re);return}this.batchChanges=[ee],this.batchAnimation=re}this.undoStackPush(eW(this.batchChanges.flat(),this.batchAnimation,this.context)),this.notify(oh.ADD,this.undoStack[this.undoStack.length-1])}},this.initBatchCommand=b=>{const{initiate:z}=b.data;this.batchAnimation=!1,z?this.batchChanges=[]:this.undoStack.pop()||(this.batchChanges=null)},this.emitter=new iy;const{graph:x}=this.context;x.on(ci.AFTER_DRAW,this.addCommand),x.on(ci.BATCH_START,this.initBatchCommand),x.on(ci.BATCH_END,this.addCommand)}canUndo(){return this.undoStack.length>0}canRedo(){return this.redoStack.length>0}undo(){var a,y,x,b;const z=this.undoStack.pop();if(z){if(this.executeCommand(z),((y=(a=this.options).beforeAddCommand)===null||y===void 0?void 0:y.call(a,z,!1))===!1)return;this.redoStack.push(z),(b=(x=this.options).afterAddCommand)===null||b===void 0||b.call(x,z,!1),this.notify(oh.UNDO,z)}return this}redo(){const a=this.redoStack.pop();return a&&(this.executeCommand(a,!1),this.undoStackPush(a),this.notify(oh.REDO,a)),this}undoAndCancel(){const a=this.undoStack.pop();return a&&(this.executeCommand(a,!1),this.redoStack=[],this.notify(oh.CANCEL,a)),this}undoStackPush(a){var y,x,b,z;const{stackSize:ee}=this.options;ee!==0&&this.undoStack.length>=ee&&this.undoStack.shift(),((x=(y=this.options).beforeAddCommand)===null||x===void 0?void 0:x.call(y,a,!0))!==!1&&(this.undoStack.push(a),(z=(b=this.options).afterAddCommand)===null||z===void 0||z.call(b,a,!0))}clear(){this.undoStack=[],this.redoStack=[],this.batchChanges=null,this.batchAnimation=!1,this.notify(oh.CLEAR,null)}notify(a,y){this.emitter.emit(a,{cmd:y}),this.emitter.emit(oh.CHANGE,{cmd:y})}on(a,y){this.emitter.on(a,y)}destroy(){const{graph:a}=this.context;a.off(ci.AFTER_DRAW,this.addCommand),a.off(ci.BATCH_START,this.initBatchCommand),a.off(ci.BATCH_END,this.addCommand),this.emitter.off(),super.destroy(),this.undoStack=[],this.redoStack=[]}}jy.defaultOptions={stackSize:0};const Bx={toXy(E,a){if(!a)return[...E];const y=a[0].slice(1),x=a[1].slice(1);return E.map(b=>[b[y],b[x]])},fromXy(E,a){if(!a)return[...E];const y=a[0].slice(1),x=a[1].slice(1);return E.map(([b,z])=>({[y]:b,[x]:z}))}};class tW{constructor(a,y){this._cells=[],this._cellSize=y,this._reverseCellSize=1/y;for(const x of a){const b=this.coordToCellNum(x[0]),z=this.coordToCellNum(x[1]);this._cells[b]||(this._cells[b]=[]),this._cells[b][z]||(this._cells[b][z]=[]),this._cells[b][z].push(x)}}cellPoints(a,y){var x;return((x=this._cells[a])===null||x===void 0?void 0:x[y])||[]}rangePoints(a){const y=this.coordToCellNum(a[0]),x=this.coordToCellNum(a[1]),b=this.coordToCellNum(a[2]),z=this.coordToCellNum(a[3]),ee=[];for(let re=y;re<=b;re++)for(let ae=x;ae<=z;ae++){const se=this.cellPoints(re,ae);for(const fe of se)ee.push(fe)}return ee}removePoint(a){const y=this.coordToCellNum(a[0]),x=this.coordToCellNum(a[1]),b=this._cells[y][x],z=b.findIndex(([ee,re])=>ee===a[0]&&re===a[1]);return z>-1&&b.splice(z,1),b}trunc(a){return Math.trunc(a)}coordToCellNum(a){return this.trunc(a*this._reverseCellSize)}extendBbox(a,y){return[a[0]-y*this._cellSize,a[1]-y*this._cellSize,a[2]+y*this._cellSize,a[3]+y*this._cellSize]}}function nW(E,a){return new tW(E,a)}const TM=+(Math.pow(2,27)+1);function Gy(E,a,y){const x=E*a,b=TM*E,z=b-E,ee=b-z,re=E-ee,ae=TM*a,se=ae-a,fe=ae-se,me=a-fe,Fe=x-ee*fe-re*fe-ee*me,Ue=re*me-Fe;return y?(y[0]=Ue,y[1]=x,y):[Ue,x]}function rW(E,a,y){const x=E+a,b=x-E,z=x-b,ee=a-b,re=E-z;return y?(y[0]=re+ee,y[1]=x,y):[re+ee,x]}function aW(E,a){const y=E.length;if(y===1){const re=Gy(E[0],a);return re[0]?re:[re[1]]}const x=new Array(2*y),b=[.1,.1],z=[.1,.1];let ee=0;Gy(E[0],a,b),b[0]&&(x[ee++]=b[0]);for(let re=1;re=x?(Fe=fe,re+=1,re=x?(Fe=fe,re+=1,re0){if(z<=0)return ee;re=b+z}else if(b<0){if(z>=0)return ee;re=-(b+z)}else return ee;const ae=uW*re;return ee>=ae||ee<=-ae?ee:gW(a,y,x)},function(a,y,x,b){const z=a[0]-b[0],ee=y[0]-b[0],re=x[0]-b[0],ae=a[1]-b[1],se=y[1]-b[1],fe=x[1]-b[1],me=a[2]-b[2],Ae=y[2]-b[2],Te=x[2]-b[2],Fe=ee*fe,Ue=re*se,je=re*ae,Ke=z*fe,Ze=z*se,Je=ee*ae,tt=me*(Fe-Ue)+Ae*(je-Ke)+Te*(Ze-Je),at=(Math.abs(Fe)+Math.abs(Ue))*Math.abs(me)+(Math.abs(je)+Math.abs(Ke))*Math.abs(Ae)+(Math.abs(Ze)+Math.abs(Je))*Math.abs(Te),st=cW*at;return 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Ou{constructor(a,y){super(a,Object.assign({},qy.defaultOptions,y)),this.onDraw=x=>{var b;!((b=x==null?void 0:x.data)===null||b===void 0)&&b.render||this.onRender()},this.shapes=new Map,this.landmarkMap=new Map,this.mask=null,this.isMaskDragging=!1,this.onMaskDragStart=x=>{this.mask&&(this.isMaskDragging=!0,this.mask.setPointerCapture(x.pointerId),this.mask.addEventListener("pointermove",this.onMaskDrag),this.mask.addEventListener("pointerup",this.onMaskDragEnd),this.mask.addEventListener("pointercancel",this.onMaskDragEnd))},this.onMaskDrag=x=>{if(!this.mask||!this.isMaskDragging)return;const{size:[b,z]}=this.options,{movementX:ee,movementY:re}=x,{left:ae,top:se,width:fe,height:me}=this.mask.style,[,,Ae,Te]=this.maskBBox;let 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tt=this.context.canvas.getCamera().getZoom(),at=this.canvas.getCamera().getZoom(),st=tt/at;this.context.graph.translateBy([Ze*st,Je*st],!1)},this.onMaskDragEnd=x=>{this.mask&&(this.isMaskDragging=!1,this.mask.releasePointerCapture(x.pointerId),this.mask.removeEventListener("pointermove",this.onMaskDrag),this.mask.removeEventListener("pointerup",this.onMaskDragEnd),this.mask.removeEventListener("pointercancel",this.onMaskDragEnd))},this.onTransform=n2(()=>{this.isMaskDragging||(this.updateMask(),this.setCamera())},32,{leading:!0}),this.setOnRender(),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),"delay"in a&&this.setOnRender(),this.bindEvents()}setOnRender(){this.onRender=wv(()=>{this.renderMinimap(),this.renderMask()},this.options.delay)}bindEvents(){const{graph:a}=this.context;a.on(ci.AFTER_DRAW,this.onDraw),a.on(ci.AFTER_RENDER,this.onRender),a.on(ci.AFTER_TRANSFORM,this.onTransform)}unbindEvents(){const{graph:a}=this.context;a.off(ci.AFTER_DRAW,this.onDraw),a.off(ci.AFTER_RENDER,this.onRender),a.off(ci.AFTER_TRANSFORM,this.onTransform)}renderMinimap(){const a=this.getElements(),y=this.initCanvas();this.setShapes(y,a)}getElements(){const{filter:a}=this.options,{model:y}=this.context,x=y.getData();if(!a)return x;const{nodes:b,edges:z,combos:ee}=x;return{nodes:b.filter(re=>a(_r(re),"node")),edges:z.filter(re=>a(_r(re),"edge")),combos:ee.filter(re=>a(_r(re),"combo"))}}setShapes(a,y){const{nodes:x,edges:b,combos:z}=y,{shape:ee}=this.options,{element:re}=this.context;if(ee==="key"){const se=new Set,fe=me=>{const Ae=_r(me);se.add(Ae);const Te=re.getElement(Ae);if(!Te)return;const Fe=Te.getShape("key"),Ue=this.shapes.get(Ae)||Fe.cloneNode();Ue.setPosition(Fe.getPosition()),Te.style.zIndex&&(Ue.style.zIndex=Te.style.zIndex),Ue.id=Te.id,this.shapes.has(Ae)?Object.entries(Fe.attributes).forEach(([je,Ke])=>{Ue.style[je]!==Ke&&(Ue.style[je]=Ke)}):(a.appendChild(Ue),this.shapes.set(Ae,Ue))};b.forEach(fe),z.forEach(fe),x.forEach(fe),this.shapes.forEach((me,Ae)=>{se.has(Ae)||(a.removeChild(me),this.shapes.delete(Ae))});return}const ae=(se,fe)=>{const Ae=re.getElement(se).getPosition();return fe.setPosition(Ae),fe};a.removeChildren(),b.forEach(se=>a.appendChild(ee(_r(se),"edge"))),z.forEach(se=>{a.appendChild(ae(_r(se),ee(_r(se),"combo")))}),x.forEach(se=>{a.appendChild(ae(_r(se),ee(_r(se),"node")))})}initCanvas(){const{renderer:a,size:[y,x]}=this.options;if(this.canvas){const{width:b,height:z}=this.canvas.getConfig();(y!==b||x!==z)&&this.canvas.resize(y,x),a&&this.canvas.setRenderer(a)}else{const{className:b,position:z,container:ee,containerStyle:re}=this.options,[ae,se]=jx({renderer:a,width:y,height:x,placement:z,className:"minimap",container:ee,containerStyle:re,graphCanvas:this.context.canvas});b&&ae.classList.add(b),this.container=ae,this.canvas=se}return this.setCamera(),this.canvas}createLandmark(a,y,x){const b=`${a.join(",")}-${y.join(",")}-${x}`;if(this.landmarkMap.has(b))return this.landmarkMap.get(b);const ee=this.canvas.getCamera().createLandmark(b,{position:a,focalPoint:y,zoom:x});return this.landmarkMap.set(b,ee),ee}setCamera(){var a;const{canvas:y}=this.context,x=(a=this.canvas)===null||a===void 0?void 0:a.getCamera();if(!x)return;const{size:[b,z],padding:ee}=this.options,[re,ae,se,fe]=Ld(ee),{min:me,max:Ae,center:Te}=y.getBounds("elements"),Fe=Ae[0]-me[0],Ue=Ae[1]-me[1],je=b-fe-ae,Ke=z-re-se,Ze=je/Fe,Je=Ke/Ue,tt=Math.min(Ze,Je),at=this.createLandmark(Te,Te,tt);x.gotoLandmark(at,0)}get maskBBox(){const{canvas:a}=this.context,y=a.getSize(),x=a.getCanvasByViewport([0,0]),b=a.getCanvasByViewport(y),z=this.canvas.canvas2Viewport(Rd(x)),ee=this.canvas.canvas2Viewport(Rd(b)),re=ee.x-z.x,ae=ee.y-z.y;return[z.x,z.y,re,ae]}calculateMaskBBox(){const{size:[a,y]}=this.options;let[x,b,z,ee]=this.maskBBox;return x<0&&(z=Sh(z+x,a),x=0),b<0&&(ee=Sh(ee+b,y),b=0),x+z>a&&(z=bh(a-x,0)),b+ee>y&&(ee=bh(y-b,0)),[Sh(x,a),Sh(b,y),bh(z,0),bh(ee,0)]}renderMask(){const{maskStyle:a}=this.options;this.mask||(this.mask=document.createElement("div"),this.mask.addEventListener("pointerdown",this.onMaskDragStart)),this.container.appendChild(this.mask),Object.assign(this.mask.style,Object.assign(Object.assign({},a),{cursor:"move",position:"absolute",pointerEvents:"auto"})),this.updateMask()}updateMask(){if(!this.mask)return;const[a,y,x,b]=this.calculateMaskBBox();Object.assign(this.mask.style,{top:y+"px",left:a+"px",width:x+"px",height:b+"px"})}destroy(){var a;this.unbindEvents(),this.canvas.destroy(),(a=this.mask)===null||a===void 0||a.remove(),super.destroy()}}qy.defaultOptions={size:[240,160],shape:"key",padding:10,position:"right-bottom",maskStyle:{border:"1px solid #ddd",background:"rgba(0, 0, 0, 0.1)"},containerStyle:{border:"1px solid #ddd",background:"#fff"},delay:128};const Sh=(E,a)=>Math.min(E,a),bh=(E,a)=>Math.max(E,a);var Gx=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};const Vx={x1:0,y1:0,x2:0,y2:0,visibility:"hidden"};class $y extends Ou{constructor(a,y){super(a,Object.assign({},$y.defaultOptions,y)),this.initSnapline=()=>{const x=this.context.canvas.getLayer("transient");this.horizontalLine||(this.horizontalLine=x.appendChild(new ug({style:Object.assign(Object.assign({},Vx),this.options.horizontalLineStyle)}))),this.verticalLine||(this.verticalLine=x.appendChild(new ug({style:Object.assign(Object.assign({},Vx),this.options.verticalLineStyle)})))},this.isHorizontalSticking=!1,this.isVerticalSticking=!1,this.enableStick=!0,this.autoSnapToLine=(x,b,z)=>Gx(this,void 0,void 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this.getNodes().some(Je=>{if(Vl(x.id,Je.id))return!1;const tt=sD(Je,ee).getRenderBounds(),{min:[at,st],max:[ft,lt],center:[wt,Bt]}=tt;return Te===null&&(Ku(wt,me){this.initSnapline()},this.onDrag=x=>Gx(this,void 0,void 0,function*(){const{target:b}=x;if(this.options.autoSnap&&!this.enableSnap(x))return;const z=sD(b,this.options.shape).getRenderBounds(),ee=this.calcSnaplineMetadata(b,z);this.hideSnapline(),(ee.verticalX!==null||ee.horizontalY!==null)&&this.updateSnapline(ee),this.options.autoSnap&&(yield this.autoSnapToLine(b.id,z,ee))}),this.onDragEnd=()=>{this.hideSnapline()},this.bindEvents()}getNodes(){var a;const{filter:y}=this.options,b=(((a=this.context.element)===null||a===void 0?void 0:a.getNodes())||[]).filter(z=>{var ee;return ek(z)&&((ee=this.context.viewport)===null||ee===void 0?void 0:ee.isInViewport(z.getRenderBounds()))});return y?b.filter(z=>y(z)):b}hideSnapline(){this.horizontalLine.style.visibility="hidden",this.verticalLine.style.visibility="hidden"}getLineWidth(a){const{lineWidth:y}=this.options[`${a}LineStyle`];return+(y||Vx.lineWidth||1)/this.context.graph.getZoom()}updateSnapline(a){const{verticalX:y,verticalMinY:x,verticalMaxY:b,horizontalY:z,horizontalMinX:ee,horizontalMaxX:re}=a,[ae,se]=this.context.canvas.getSize(),{offset:fe}=this.options;z!==null?Object.assign(this.horizontalLine.style,{x1:fe===1/0?0:ee-fe,y1:z,x2:fe===1/0?ae:re+fe,y2:z,visibility:"visible",lineWidth:this.getLineWidth("horizontal")}):this.horizontalLine.style.visibility="hidden",y!==null?Object.assign(this.verticalLine.style,{x1:y,y1:fe===1/0?0:x-fe,x2:y,y2:fe===1/0?se:b+fe,visibility:"visible",lineWidth:this.getLineWidth("vertical")}):this.verticalLine.style.visibility="hidden"}getDelta(a){const y=this.context.graph.getZoom();return Nd([a.dx,a.dy],y)}bindEvents(){return Gx(this,void 0,void 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y={YYYY:E.getFullYear(),MM:E.getMonth()+1,DD:E.getDate(),HH:E.getHours(),mm:E.getMinutes(),ss:E.getSeconds()},x=a;return Object.keys(y).forEach(function(b){var z=y[b];x=x.replace(b,b==="YYYY"?"".concat(z):"".concat(z).padStart(2,"0"))}),x}function B$(E,a){return e1(E).getTime()-e1(a).getTime()}function N$(E,a){var y=__read([e1(E),e1(a)],2),x=y[0],b=y[1];return x.getFullYear()!==b.getFullYear()?"year":x.getMonth()!==b.getMonth()?"month":x.getDay()!==b.getDay()?"day":x.getHours()!==b.getHours()?"hour":x.getMinutes()!==b.getMinutes()?"minute":"second"}function R$(E,a){var y=new Date(E),x={year:function(b){b.setMonth(0),b.setHours(0,0,0,0)},month:function(b){b.setDate(1),b.setHours(0,0,0,0)},day:function(b){return b.setHours(0,0,0,0)},hour:function(b){return b.setMinutes(0,0,0)},minute:function(b){return b.setSeconds(0,0)},second:function(b){return b.setMilliseconds(0)}};return x[a](y),sc(y,Fj(["year",a]))}function kj(E,a){if(E.length<=a)return E;for(var 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se=this,fe=Jj(this,eG(this),(0,Rt.ev)((0,Rt.ev)([b,z],(0,Rt.CR)(ee),!1),[re],!1),x.update);if(fe){var me=function(){var Ae=rc(se.attributes,"__keyframe_data__");se.style.d=ED.apply(void 0,(0,Rt.ev)([],(0,Rt.CR)(Ae),!1))};fe.onframe=me,fe.onfinish=me}return fe}).styles(a)},function(ae){return ae.remove()}).styles(y).transitions()}function nG(E,a){var y=a.truncRange,x=a.truncShape,b=a.lineExtension}function rG(E,a,y){y===void 0&&(y=[0,0]);var x=(0,Rt.CR)([E,a,y],3),b=(0,Rt.CR)(x[0],2),z=b[0],ee=b[1],re=(0,Rt.CR)(x[1],2),ae=re[0],se=re[1],fe=(0,Rt.CR)(x[2],2),me=fe[0],Ae=fe[1],Te=(0,Rt.CR)([ae-z,se-ee],2),Fe=Te[0],Ue=Te[1],je=Math.sqrt(Math.pow(Fe,2)+Math.pow(Ue,2)),Ke=(0,Rt.CR)([-me/je,Ae/je],2),Ze=Ke[0],Je=Ke[1];return[Ze*Fe,Ze*Ue,Je*Fe,Je*Ue]}function AD(E){var a=(0,Rt.CR)(E,2),y=(0,Rt.CR)(a[0],2),x=y[0],b=y[1],z=(0,Rt.CR)(a[1],2),ee=z[0],re=z[1];return{x1:x,y1:b,x2:ee,y2:re}}function aG(E,a,y,x){var 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je=this.baseline;z?Ue=ee?EV(Fe,se,je):yV(Fe,se,je):Ue=pV(Fe,ee,se,je)}return{lines:Fe.map(function(Ke,Ze){return(0,Rt.pi)({stroke:y.getColor(Ze),d:ee?u1(Ke):Kv(Ke)},ae)}),areas:Ue.map(function(Ke,Ze){return(0,Rt.pi)({d:Ke,fill:y.getColor(Ze)},re)})}},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"columnsStyle",{get:function(){var y=this,x=zo(this.attributes,"column"),b=this.attributes,z=b.isStack,ee=b.type,re=b.scale;if(ee!=="column")throw new Error("columnsStyle can only be used in column type");var ae=this.containerShape.height,se=this.rawData;if(!se)return{columns:[]};z&&(se=ZD(se));var fe=this.createScales(se),me=fe.x,Ae=fe.y,Te=(0,Rt.CR)(KD(se),2),Fe=Te[0],Ue=Te[1],je=new Hv({domain:[0,Ue-(Fe>0?0:Fe)],range:[0,ae*re]}),Ke=me.getBandWidth(),Ze=this.rawData;return{columns:se.map(function(Je,tt){return Je.map(function(at,st){var 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x,b,z=this.attributes,ee=z.type,re=z.scale,ae=z.range,se=ae===void 0?[]:ae,fe=z.spacing,me=this.containerShape,Ae=me.width,Te=me.height,Fe=(0,Rt.CR)(KD(y),2),Ue=Fe[0],je=Fe[1],Ke=new Hv({domain:[(x=se[0])!==null&&x!==void 0?x:Ue,(b=se[1])!==null&&b!==void 0?b:je],range:[Te,Te*(1-re)]});return ee==="line"?{type:ee,x:new Hv({domain:[0,y[0].length-1],range:[0,Ae]}),y:Ke}:{type:ee,x:new uS({domain:y[0].map(function(Ze,Je){return 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ee=x.availableSpace,re=ee.x,ae=ee.y,se=x.getBBox(),fe=se.x,me=se.y;x.selectionStartPos=x.getRatio(x.prevPos-x.getOrientVal([re,ae])-x.getOrientVal([+fe,+me])),x.selectionWidth=0,document.addEventListener("pointermove",x.onDragging),document.addEventListener("pointerup",x.onDragEnd)}},x.onDragging=function(b){var z=x.attributes,ee=z.slidable,re=z.brushable,ae=z.type;b.stopPropagation();var se=x.getOrientVal(_D(b)),fe=se-x.prevPos;if(fe){var me=x.getRatio(fe);switch(x.target){case"start":ee&&x.setValuesOffset(me);break;case"end":ee&&x.setValuesOffset(0,me);break;case"selection":ee&&x.setValuesOffset(me,me);break;case"track":if(!re)return;x.selectionWidth+=me,ae==="range"?x.innerSetValues([x.selectionStartPos,x.selectionStartPos+x.selectionWidth].sort(),!0):x.innerSetValues([0,x.selectionStartPos+x.selectionWidth],!0);break;default:break}x.prevPos=se}},x.onDragEnd=function(){document.removeEventListener("pointermove",x.onDragging),document.removeEventListener("pointermove",x.onDragging),document.removeEventListener("pointerup",x.onDragEnd),x.target="",x.updateHandlesPosition(!1)},x.onValueChange=function(b){var z=x.attributes,ee=z.onChange,re=z.type,ae=re==="range"?b:b[1],se=re==="range"?x.getValues():x.getValues()[1],fe=new $l("valuechange",{detail:{oldValue:ae,value:se}});x.dispatchEvent(fe),ee==null||ee(se)},x.selectionStartPos=0,x.selectionWidth=0,x.prevPos=0,x.target="",x}return Object.defineProperty(a.prototype,"values",{get:function(){return this.attributes.values},set:function(y){this.attributes.values=this.clampValues(y)},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"sparklineStyle",{get:function(){var y=this.attributes.orientation;if(y!=="horizontal")return null;var x=zo(this.attributes,"sparkline");return(0,Rt.pi)((0,Rt.pi)({zIndex:0},this.availableSpace),x)},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"shape",{get:function(){var y=this.attributes,x=y.trackLength,b=y.trackSize,z=(0,Rt.CR)(this.getOrientVal([[x,b],[b,x]]),2),ee=z[0],re=z[1];return{width:ee,height:re}},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"availableSpace",{get:function(){var y=this.attributes,x=y.x,b=y.y,z=y.padding,ee=(0,Rt.CR)(Tu(z),4),re=ee[0],ae=ee[1],se=ee[2],fe=ee[3],me=this.shape,Ae=me.width,Te=me.height;return{x:fe,y:re,width:Ae-(fe+ae),height:Te-(re+se)}},enumerable:!1,configurable:!0}),a.prototype.getValues=function(){return this.values},a.prototype.setValues=function(y,x){y===void 0&&(y=[0,0]),x===void 0&&(x=!1),this.attributes.values=y;var b=x===!1?!1:this.attributes.animate;this.updateSelectionArea(b),this.updateHandlesPosition(b)},a.prototype.updateSelectionArea=function(y){var x=this.calcSelectionArea();this.foregroundGroup.selectAll(ff.selection.class).each(function(b,z){Ud(this,x[z],y)})},a.prototype.updateHandlesPosition=function(y){this.attributes.showHandle&&(this.startHandle&&Ud(this.startHandle,this.getHandleStyle("start"),y),this.endHandle&&Ud(this.endHandle,this.getHandleStyle("end"),y))},a.prototype.innerSetValues=function(y,x){y===void 0&&(y=[0,0]),x===void 0&&(x=!1);var b=this.values,z=this.clampValues(y);this.attributes.values=z,this.setValues(z),x&&this.onValueChange(b)},a.prototype.renderTrack=function(y){var x=this.attributes,b=x.x,z=x.y,ee=zo(this.attributes,"track");this.trackShape=Vi(y).maybeAppendByClassName(ff.track,"rect").styles((0,Rt.pi)((0,Rt.pi)({x:b,y:z},this.shape),ee))},a.prototype.renderBrushArea=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.brushable;this.brushArea=Vi(y).maybeAppendByClassName(ff.brushArea,"rect").styles((0,Rt.pi)({x:b,y:z,fill:"transparent",cursor:ee?"crosshair":"default"},this.shape))},a.prototype.renderSparkline=function(y){var x=this,b=this.attributes,z=b.x,ee=b.y,re=b.orientation,ae=Vi(y).maybeAppendByClassName(ff.sparklineGroup,"g");jc(re==="horizontal",ae,function(se){var fe=(0,Rt.pi)((0,Rt.pi)({},x.sparklineStyle),{x:z,y:ee});se.maybeAppendByClassName(ff.sparkline,function(){return new SV({style:fe})}).update(fe)})},a.prototype.renderHandles=function(){var y=this,x,b=this.attributes,z=b.showHandle,ee=b.type,re=ee==="range"?["start","end"]:["end"],ae=z?re:[],se=this;(x=this.foregroundGroup)===null||x===void 0||x.selectAll(ff.handle.class).data(ae.map(function(fe){return{type:fe}}),function(fe){return fe.type}).join(function(fe){return fe.append(function(me){var Ae=me.type;return new CV({style:y.getHandleStyle(Ae)})}).each(function(me){var Ae=me.type;this.attr("class","".concat(ff.handle.name," ").concat(Ae,"-handle"));var Te="".concat(Ae,"Handle");se[Te]=this,this.addEventListener("pointerdown",se.onDragStart(Ae))})},function(fe){return fe.each(function(me){var Ae=me.type;this.update(se.getHandleStyle(Ae))})},function(fe){return fe.each(function(me){var Ae=me.type,Te="".concat(Ae,"Handle");se[Te]=void 0}).remove()})},a.prototype.renderSelection=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.type,re=x.selectionType;this.foregroundGroup=Vi(y).maybeAppendByClassName(ff.foreground,"g");var ae=zo(this.attributes,"selection"),se=function(me){return me.style("visibility",function(Ae){return Ae.show?"visible":"hidden"}).style("cursor",function(Ae){return re==="select"?"grab":re==="invert"?"crosshair":"default"}).styles((0,Rt.pi)((0,Rt.pi)({},ae),{transform:"translate(".concat(b,", ").concat(z,")")}))},fe=this;this.foregroundGroup.selectAll(ff.selection.class).data(ee==="value"?[]:this.calcSelectionArea().map(function(me,Ae){return{style:(0,Rt.pi)({},me),index:Ae,show:re==="select"?Ae===1:Ae!==1}}),function(me){return me.index}).join(function(me){return me.append("rect").attr("className",ff.selection.name).call(se).each(function(Ae,Te){var Fe=this;Te===1?(fe.selectionShape=Vi(this),this.on("pointerdown",function(Ue){Fe.attr("cursor","grabbing"),fe.onDragStart("selection")(Ue)}),fe.dispatchCustomEvent(this,"pointerenter","selectionMouseenter"),fe.dispatchCustomEvent(this,"pointerleave","selectionMouseleave"),fe.dispatchCustomEvent(this,"click","selectionClick"),this.addEventListener("pointerdown",function(){Fe.attr("cursor","grabbing")}),this.addEventListener("pointerup",function(){Fe.attr("cursor","pointer")}),this.addEventListener("pointerover",function(){Fe.attr("cursor","pointer")})):this.on("pointerdown",fe.onDragStart("track"))})},function(me){return me.call(se)},function(me){return me.remove()}),this.updateSelectionArea(!1),this.renderHandles()},a.prototype.render=function(y,x){this.renderTrack(x),this.renderSparkline(x),this.renderBrushArea(x),this.renderSelection(x)},a.prototype.clampValues=function(y,x){var b;x===void 0&&(x=4);var z=(0,Rt.CR)(this.range,2),ee=z[0],re=z[1],ae=(0,Rt.CR)(this.getValues().map(function(je){return eS(je,x)}),2),se=ae[0],fe=ae[1],me=Array.isArray(y)?y:[se,y!=null?y:fe],Ae=(0,Rt.CR)((me||[se,fe]).map(function(je){return eS(je,x)}),2),Te=Ae[0],Fe=Ae[1];if(this.attributes.type==="value")return[0,bl(Fe,ee,re)];Te>Fe&&(b=(0,Rt.CR)([Fe,Te],2),Te=b[0],Fe=b[1]);var Ue=Fe-Te;return Ue>re-ee?[ee,re]:Tere?fe===re&&se===Te?[Te,re]:[re-Ue,re]:[Te,Fe]},a.prototype.calcSelectionArea=function(y){var x=(0,Rt.CR)(this.clampValues(y),2),b=x[0],z=x[1],ee=this.availableSpace,re=ee.x,ae=ee.y,se=ee.width,fe=ee.height;return this.getOrientVal([[{y:ae,height:fe,x:re,width:b*se},{y:ae,height:fe,x:b*se+re,width:(z-b)*se},{y:ae,height:fe,x:z*se,width:(1-z)*se}],[{x:re,width:se,y:ae,height:b*fe},{x:re,width:se,y:b*fe+ae,height:(z-b)*fe},{x:re,width:se,y:z*fe,height:(1-z)*fe}]])},a.prototype.calcHandlePosition=function(y){var x=this.attributes.handleIconOffset,b=this.availableSpace,z=b.x,ee=b.y,re=b.width,ae=b.height,se=(0,Rt.CR)(this.clampValues(),2),fe=se[0],me=se[1],Ae=y==="start"?-x:x,Te=(y==="start"?fe:me)*this.getOrientVal([re,ae])+Ae;return{x:z+this.getOrientVal([Te,re/2]),y:ee+this.getOrientVal([ae/2,Te])}},a.prototype.inferTextStyle=function(y){var x=this.attributes.orientation;return x==="horizontal"?{}:y==="start"?{transformOrigin:"left center",transform:"rotate(90)",textAlign:"start"}:y==="end"?{transformOrigin:"right center",transform:"rotate(90)",textAlign:"end"}:{}},a.prototype.calcHandleText=function(y){var x,b=this.attributes,z=b.type,ee=b.orientation,re=b.formatter,ae=b.autoFitLabel,se=zo(this.attributes,"handle"),fe=zo(se,"label"),me=se.spacing,Ae=this.getHandleSize(),Te=this.clampValues(),Fe=y==="start"?Te[0]:Te[1],Ue=re(Fe),je=new _x({style:(0,Rt.pi)((0,Rt.pi)((0,Rt.pi)({},fe),this.inferTextStyle(y)),{text:Ue})}),Ke=je.getBBox(),Ze=Ke.width,Je=Ke.height;if(je.destroy(),!ae){if(z==="value")return{text:Ue,x:0,y:-Je-me};var tt=me+Ae+(ee==="horizontal"?Ze/2:0);return x={text:Ue},x[ee==="horizontal"?"x":"y"]=y==="start"?-tt:tt,x}var at=0,st=0,ft=this.availableSpace,lt=ft.width,wt=ft.height,Bt=this.calcSelectionArea()[1],Vt=Bt.x,Xt=Bt.y,vn=Bt.width,on=Bt.height,wn=me+Ae;if(ee==="horizontal"){var qn=wn+Ze/2;if(y==="start"){var yn=Vt-wn-Ze;at=yn>0?-qn:qn}else{var En=lt-Vt-vn-wn>Ze;at=En?qn:-qn}}else{var Pn=wn,or=Je+wn;y==="start"?st=Xt-Ae>Je?-or:Pn:st=wt-(Xt+on)-Ae>Je?or:-Pn}return{x:at,y:st,text:Ue}},a.prototype.getHandleLabelStyle=function(y){var x=zo(this.attributes,"handleLabel");return(0,Rt.pi)((0,Rt.pi)((0,Rt.pi)({},x),this.calcHandleText(y)),this.inferTextStyle(y))},a.prototype.getHandleIconStyle=function(){var y=this.attributes.handleIconShape,x=zo(this.attributes,"handleIcon"),b=this.getOrientVal(["ew-resize","ns-resize"]),z=this.getHandleSize();return(0,Rt.pi)({cursor:b,shape:y,size:z},x)},a.prototype.getHandleStyle=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.showLabel,re=x.showLabelOnInteraction,ae=x.orientation,se=this.calcHandlePosition(y),fe=se.x,me=se.y,Ae=this.calcHandleText(y),Te=ee;return!ee&&re&&(this.target?Te=!0:Te=!1),(0,Rt.pi)((0,Rt.pi)((0,Rt.pi)({},S0(this.getHandleIconStyle(),"icon")),S0((0,Rt.pi)((0,Rt.pi)({},this.getHandleLabelStyle(y)),Ae),"label")),{transform:"translate(".concat(fe+b,", ").concat(me+z,")"),orientation:ae,showLabel:Te,type:y,zIndex:3})},a.prototype.getHandleSize=function(){var y=this.attributes,x=y.handleIconSize,b=y.width,z=y.height;return x||Math.floor((this.getOrientVal([+z,+b])+4)/2.4)},a.prototype.getOrientVal=function(y){var x=(0,Rt.CR)(y,2),b=x[0],z=x[1],ee=this.attributes.orientation;return ee==="horizontal"?b:z},a.prototype.setValuesOffset=function(y,x,b){x===void 0&&(x=0),b===void 0&&(b=!1);var z=this.attributes.type,ee=(0,Rt.CR)(this.getValues(),2),re=ee[0],ae=ee[1],se=z==="range"?y:0,fe=[re+se,ae+x].sort();b?this.setValues(fe):this.innerSetValues(fe,!0)},a.prototype.getRatio=function(y){var x=this.availableSpace,b=x.width,z=x.height;return y/this.getOrientVal([b,z])},a.prototype.dispatchCustomEvent=function(y,x,b){var z=this;y.on(x,function(ee){ee.stopPropagation(),z.dispatchEvent(new $l(b,{detail:ee}))})},a.prototype.bindEvents=function(){this.addEventListener("wheel",this.onScroll);var y=this.brushArea;this.dispatchCustomEvent(y,"click","trackClick"),this.dispatchCustomEvent(y,"pointerenter","trackMouseenter"),this.dispatchCustomEvent(y,"pointerleave","trackMouseleave"),y.on("pointerdown",this.onDragStart("track"))},a.prototype.onScroll=function(y){var x=this.attributes.scrollable;if(x){var b=y.deltaX,z=y.deltaY,ee=z||b,re=this.getRatio(ee);this.setValuesOffset(re,re,!0)}},a.tag="slider",a}(Bl),wV={backgroundFill:"#262626",backgroundLineCap:"round",backgroundLineWidth:1,backgroundStroke:"#333",backgroundZIndex:-1,formatter:function(E){return E.toString()},labelFill:"#fff",labelFontSize:12,labelTextBaseline:"middle",padding:[2,4],position:"right",radius:0,zIndex:999},dS=zd({background:"background",labelGroup:"label-group",label:"label"},"indicator"),MV=function(E){(0,Rt.ZT)(a,E);function a(y){var x=E.call(this,y,wV)||this;return x.point=[0,0],x.group=x.appendChild(new lu({})),x.isMutationObserved=!0,x}return a.prototype.renderBackground=function(){if(this.label){var y=this.attributes,x=y.position,b=y.padding,z=(0,Rt.CR)(Tu(b),4),ee=z[0],re=z[1],ae=z[2],se=z[3],fe=this.label.node().getLocalBounds(),me=fe.min,Ae=fe.max,Te=new Hu(me[0]-se,me[1]-ee,Ae[0]+re-me[0]+se,Ae[1]+ae-me[1]+ee),Fe=this.getPath(x,Te),Ue=zo(this.attributes,"background");this.background=Vi(this.group).maybeAppendByClassName(dS.background,"path").styles((0,Rt.pi)((0,Rt.pi)({},Ue),{d:Fe})),this.group.appendChild(this.label.node())}},a.prototype.renderLabel=function(){var y=this.attributes,x=y.formatter,b=y.labelText,z=zo(this.attributes,"label"),ee=(0,Rt.CR)(_f(z),2),re=ee[0],ae=ee[1],se=re.text,fe=(0,Rt._T)(re,["text"]);if(this.label=Vi(this.group).maybeAppendByClassName(dS.labelGroup,"g").styles(ae),!!b){var me=this.label.maybeAppendByClassName(dS.label,function(){return Ff(x(b))}).style("text",x(b).toString());me.selectAll("text").styles(fe)}},a.prototype.adjustLayout=function(){var y=(0,Rt.CR)(this.point,2),x=y[0],b=y[1],z=this.attributes,ee=z.x,re=z.y;this.group.attr("transform","translate(".concat(ee-x,", ").concat(re-b,")"))},a.prototype.getPath=function(y,x){var b=this.attributes.radius,z=x.x,ee=x.y,re=x.width,ae=x.height,se=[["M",z+b,ee],["L",z+re-b,ee],["A",b,b,0,0,1,z+re,ee+b],["L",z+re,ee+ae-b],["A",b,b,0,0,1,z+re-b,ee+ae],["L",z+b,ee+ae],["A",b,b,0,0,1,z,ee+ae-b],["L",z,ee+b],["A",b,b,0,0,1,z+b,ee],["Z"]],fe={top:4,right:6,bottom:0,left:2},me=fe[y],Ae=this.createCorner([se[me].slice(-2),se[me+1].slice(-2)]);return se.splice.apply(se,(0,Rt.ev)([me+1,1],(0,Rt.CR)(Ae),!1)),se[0][0]="M",se},a.prototype.createCorner=function(y,x){x===void 0&&(x=10);var b=.8,z=Pj.apply(void 0,(0,Rt.ev)([],(0,Rt.CR)(y),!1)),ee=(0,Rt.CR)(y,2),re=(0,Rt.CR)(ee[0],2),ae=re[0],se=re[1],fe=(0,Rt.CR)(ee[1],2),me=fe[0],Ae=fe[1],Te=(0,Rt.CR)(z?[me-ae,[ae,me]]:[Ae-se,[se,Ae]],2),Fe=Te[0],Ue=(0,Rt.CR)(Te[1],2),je=Ue[0],Ke=Ue[1],Ze=Fe/2,Je=Fe/Math.abs(Fe),tt=x*Je,at=tt/2,st=tt*Math.sqrt(3)/2*b,ft=(0,Rt.CR)([je,je+Ze-at,je+Ze,je+Ze+at,Ke],5),lt=ft[0],wt=ft[1],Bt=ft[2],Vt=ft[3],Xt=ft[4];return z?(this.point=[Bt,se-st],[["L",lt,se],["L",wt,se],["L",Bt,se-st],["L",Vt,se],["L",Xt,se]]):(this.point=[ae+st,Bt],[["L",ae,lt],["L",ae,wt],["L",ae+st,Bt],["L",ae,Vt],["L",ae,Xt]])},a.prototype.applyVisibility=function(){var y=this.attributes.visibility;y==="hidden"?kd(this):Fv(this)},a.prototype.bindEvents=function(){this.label.on(is.BOUNDS_CHANGED,this.renderBackground)},a.prototype.render=function(){this.renderLabel(),this.renderBackground(),this.adjustLayout(),this.applyVisibility()},a}(Bl),DV=function(E){(0,Rt.ZT)(a,E);function a(y){var x=E.call(this,xu({},a.defaultOptions,y))||this;return x.hoverColor="#f5f5f5",x.selectedColor="#e6f7ff",x.background=x.appendChild(new Du({})),x.label=x.background.appendChild(new lu({})),x}return Object.defineProperty(a.prototype,"padding",{get:function(){return Tu(this.style.padding)},enumerable:!1,configurable:!0}),a.prototype.renderLabel=function(){var y=this.style,x=y.label,b=y.value,z=zo(this.attributes,"label");Vi(this.label).maybeAppend(".label",function(){return Ff(x)}).attr("className","label").styles(z),this.label.attr("__data__",b)},a.prototype.renderBackground=function(){var y=this.label.getBBox(),x=(0,Rt.CR)(this.padding,4),b=x[0],z=x[1],ee=x[2],re=x[3],ae=y.width,se=y.height,fe=ae+re+z,me=se+b+ee,Ae=zo(this.attributes,"background"),Te=this.style,Fe=Te.width,Ue=Fe===void 0?0:Fe,je=Te.height,Ke=je===void 0?0:je,Ze=Te.selected;this.background.attr((0,Rt.pi)((0,Rt.pi)({},Ae),{width:Math.max(fe,Ue),height:Math.max(me,Ke),fill:Ze?this.selectedColor:"#fff"})),this.label.attr({transform:"translate(".concat(re,", ").concat((me-se)/2,")")})},a.prototype.render=function(){this.renderLabel(),this.renderBackground()},a.prototype.bindEvents=function(){var y=this;this.addEventListener("pointerenter",function(){y.style.selected||y.background.attr("fill",y.hoverColor)}),this.addEventListener("pointerleave",function(){y.style.selected||y.background.attr("fill",y.style.backgroundFill)});var x=this;this.addEventListener("click",function(){var b=y.style,z=b.label,ee=b.value,re=b.onClick;re==null||re(ee,{label:z,value:ee},x)})},a.defaultOptions={style:{value:"",label:"",cursor:"pointer"}},a}(Bl),IV=function(E){(0,Rt.ZT)(a,E);function a(y){var x,b,z=E.call(this,xu({},a.defaultOptions,y))||this;z.currentValue=(x=a.defaultOptions.style)===null||x===void 0?void 0:x.defaultValue,z.isPointerInSelect=!1,z.select=z.appendChild(new Du({className:"select",style:{cursor:"pointer",width:0,height:0}})),z.dropdown=z.appendChild(new Du({className:"dropdown"}));var ee=z.style.defaultValue;return ee&&(!((b=z.style.options)===null||b===void 0)&&b.some(function(re){return re.value===ee}))&&(z.currentValue=ee),z}return a.prototype.setValue=function(y){this.currentValue=y,this.render()},a.prototype.getValue=function(){return this.currentValue},Object.defineProperty(a.prototype,"dropdownPadding",{get:function(){return Tu(this.style.dropdownPadding)},enumerable:!1,configurable:!0}),a.prototype.renderSelect=function(){var y=this,x,b=this.style,z=b.x,ee=b.y,re=b.width,ae=b.height,se=b.bordered,fe=b.showDropdownIcon,me=zo(this.attributes,"select"),Ae=zo(this.attributes,"placeholder");this.select.attr((0,Rt.pi)((0,Rt.pi)({x:z,y:ee,width:re,height:ae},me),{fill:"#fff",strokeWidth:se?1:0}));var Te=this.dropdownPadding,Fe=10;fe&&Vi(this.select).maybeAppend(".dropdown-icon","path").style("d","M-5,-3.5 L0,3.5 L5,-3.5").style("transform","translate(".concat(z+re-Fe-Te[1]-Te[3],", ").concat(ee+ae/2,")")).style("lineWidth",1).style("stroke",this.select.style.stroke);var Ue=(x=this.style.options)===null||x===void 0?void 0:x.find(function(Je){return Je.value===y.currentValue}),je=(0,Rt.pi)({x:z+Te[3]},Ae);Vi(this.select).selectAll(".placeholder").data(Ue?[]:[1]).join(function(Je){return Je.append("text").attr("className","placeholder").styles(je).style("y",function(){var tt=this.getBBox();return ee+(ae-tt.height)/2})},function(Je){return Je.styles(je)},function(Je){return Je.remove()});var Ke=zo(this.attributes,"optionLabel"),Ze=(0,Rt.pi)({x:z+Te[3]},Ke);Vi(this.select).selectAll(".value").data(Ue?[Ue]:[]).join(function(Je){return Je.append(function(tt){return Ff(tt.label)}).attr("className","value").styles(Ze).style("y",function(){var tt=this.getBBox();return ee+(ae-tt.height)/2})},function(Je){return Je.styles(Ze)},function(Je){return Je.remove()})},a.prototype.renderDropdown=function(){var y=this,x,b,z=this.style,ee=z.x,re=z.y,ae=z.width,se=z.height,fe=z.options,me=z.onSelect,Ae=z.open,Te=zo(this.attributes,"dropdown"),Fe=zo(this.attributes,"option"),Ue=this.dropdownPadding;Vi(this.dropdown).maybeAppend(".dropdown-container","g").attr("className","dropdown-container").selectAll(".dropdown-item").data(fe,function(Ze){return Ze.value}).join(function(Ze){return Ze.append(function(Je){return new DV({className:"dropdown-item",style:(0,Rt.pi)((0,Rt.pi)((0,Rt.pi)({},Je),Fe),{width:ae-Ue[1]-Ue[3],selected:Je.value===y.currentValue,onClick:function(tt,at,st){y.setValue(tt),me==null||me(tt,at,st),y.dispatchEvent(new $l("change",{detail:{value:tt,option:at,item:st}})),kd(y.dropdown)}})})}).each(function(Je,tt){var at,st=(at=this.parentNode)===null||at===void 0?void 0:at.children,ft=st.reduce(function(lt,wt,Bt){return Bt{document.addEventListener(b,this.onFullscreenChange,!1)})}unbindEvents(){this.shortcut.unbindAll(),["webkitfullscreenchange","mozfullscreenchange","fullscreenchange","MSFullscreenChange"].forEach(y=>{document.removeEventListener(y,this.onFullscreenChange,!1)})}setGraphSize(a=!0){var y,x;let b,z;a?(b=((y=globalThis.screen)===null||y===void 0?void 0:y.width)||0,z=((x=globalThis.screen)===null||x===void 0?void 0:x.height)||0,this.graphSize=this.context.graph.getSize()):[b,z]=this.graphSize,this.context.graph.setSize(b,z),this.context.graph.render()}request(){document.fullscreenElement||!$U()||this.$el.requestFullscreen().catch(a=>{Ac.warn(`Error attempting to enable full-screen: ${a.message} (${a.name})`)})}exit(){document.fullscreenElement&&document.exitFullscreen()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}destroy(){this.exit(),this.style.remove(),super.destroy()}}Uy.defaultOptions={trigger:{},autoFit:!0};function $U(){return document.fullscreenEnabled||Reflect.get(document,"webkitFullscreenEnabled")||Reflect.get(document,"mozFullscreenEnabled")||Reflect.get(document,"msFullscreenEnabled")}class Wy extends Ou{constructor(a,y){super(a,Object.assign({},Wy.defaultOptions,y)),this.$element=x0("grid-line",!0),this.offset=[0,0],this.currentScale=1,this.followZoom=b=>{const{data:{scale:z,origin:ee}}=b;if(!z)return;const re=this.currentScale;this.currentScale=z;const ae=z/re,se=Bd(ee||this.context.graph.getCanvasCenter(),1-ae),fe=this.baseSize*z,me=Bd(this.offset,ae),Ae=wA(me,fe),Te=ko(Ae,se);this.$element.style.backgroundSize=`${fe}px ${fe}px`,this.$element.style.backgroundPosition=`${Te[0]}px ${Te[1]}px`,this.offset=wA(Te,fe)},this.followTranslate=b=>{if(!this.options.follow)return;const{data:{translate:z}}=b;z&&this.updateOffset(z)},this.onTransform=b=>{const z=this.parseFollow(this.options.follow);z.zoom&&this.followZoom(b),z.translate&&this.followTranslate(b)},this.context.canvas.getContainer().prepend(this.$element),this.baseSize=this.options.size,this.updateStyle(),this.bindEvents()}update(a){super.update(a),a.size!==void 0&&(this.baseSize=a.size),this.updateStyle()}bindEvents(){const{graph:a}=this.context;a.on(ci.AFTER_TRANSFORM,this.onTransform)}updateStyle(){const{stroke:a,lineWidth:y,border:x,borderLineWidth:b,borderStroke:z,borderStyle:ee}=this.options,re=this.baseSize*this.currentScale;Object.assign(this.$element.style,{border:x?`${b}px ${ee} ${z}`:"none",backgroundImage:`linear-gradient(${a} ${y}px, transparent ${y}px), linear-gradient(90deg, ${a} ${y}px, transparent ${y}px)`,backgroundSize:`${re}px ${re}px`,backgroundRepeat:"repeat"})}updateOffset(a){const y=this.baseSize*this.currentScale;this.offset=wA(ko(this.offset,a),y),this.$element.style.backgroundPosition=`${this.offset[0]}px ${this.offset[1]}px`}parseFollow(a){var y,x;return H0(a)?{translate:a,zoom:a}:{translate:(y=a==null?void 0:a.translate)!==null&&y!==void 0?y:!1,zoom:(x=a==null?void 0:a.zoom)!==null&&x!==void 0?x:!1}}destroy(){this.context.graph.off(ci.AFTER_TRANSFORM,this.onTransform),this.$element.remove(),super.destroy()}}Wy.defaultOptions={border:!0,borderLineWidth:1,borderStroke:"#eee",borderStyle:"solid",lineWidth:1,size:20,stroke:"#eee"};function Tx(E){const a={Added:new Map,Updated:new Map,Removed:new Map};return E.forEach(y=>{const{type:x,value:b}=y,z=_r(b);if(x==="NodeAdded"||x==="EdgeAdded"||x==="ComboAdded")a.Added.set(z,y);else if(x==="NodeUpdated"||x==="EdgeUpdated"||x==="ComboUpdated")if(a.Added.has(z))a.Added.set(z,{type:x.replace("Updated","Added"),value:b});else if(a.Updated.has(z)){const{original:ee}=a.Updated.get(z);a.Updated.set(z,{type:x,value:b,original:ee})}else a.Removed.has(z)||a.Updated.set(z,y);else(x==="NodeRemoved"||x==="EdgeRemoved"||x==="ComboRemoved")&&(a.Added.has(z)?a.Added.delete(z):(a.Updated.has(z)&&a.Updated.delete(z),a.Removed.set(z,y)))}),[...Array.from(a.Added.values()),...Array.from(a.Updated.values()),...Array.from(a.Removed.values())]}function LM(E){const{NodeAdded:a=[],NodeUpdated:y=[],NodeRemoved:x=[],EdgeAdded:b=[],EdgeUpdated:z=[],EdgeRemoved:ee=[],ComboAdded:re=[],ComboUpdated:ae=[],ComboRemoved:se=[]}=sp(E,fe=>fe.type);return{add:{nodes:a,edges:b,combos:re},update:{nodes:y,edges:z,combos:ae},remove:{nodes:x,edges:ee,combos:se}}}function OM(E,a){for(const y in E)jl(E[y])&&!Array.isArray(E[y])&&E[y]!==null?(a[y]||(a[y]={}),OM(E[y],a[y])):a[y]===void 0&&(a[y]=cv(y))}function eW(E,a=!1,y){const x={animation:a,current:{add:{},update:{},remove:{}},original:{add:{},update:{},remove:{}}},{add:b,update:z,remove:ee}=LM(Tx(E));return["nodes","edges","combos"].forEach(re=>{z[re]&&z[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);let Ae=Object.assign({},ae.original);if(y){const Te=y.graph.getElementType(_r(ae.original)),Fe=Te==="edge"?"stroke":"fill",Ue=y.element.getElementComputedStyle(Te,ae.original);Ae=Object.assign(Object.assign({},ae.original),{style:Object.assign({[Fe]:Ue[Fe]},ae.original.style)})}OM(me,Ae),(se=x.current.update)[re]||(se[re]=[]),x.current.update[re].push(me),(fe=x.original.update)[re]||(fe[re]=[]),x.original.update[re].push(Ae)}),b[re]&&b[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);(se=x.current.add)[re]||(se[re]=[]),x.current.add[re].push(me),(fe=x.original.remove)[re]||(fe[re]=[]),x.original.remove[re].push(me)}),ee[re]&&ee[re].forEach(ae=>{var se,fe;const me=Object.assign({},ae.value);(se=x.current.remove)[re]||(se[re]=[]),x.current.remove[re].push(me),(fe=x.original.add)[re]||(fe[re]=[]),x.original.add[re].push(me)})}),x}class jy extends Ou{constructor(a,y){super(a,Object.assign({},jy.defaultOptions,y)),this.batchChanges=null,this.batchAnimation=!1,this.undoStack=[],this.redoStack=[],this.freezed=!1,this.executeCommand=(b,z=!0)=>{var ee,re,ae;this.freezed=!0,(re=(ee=this.options).executeCommand)===null||re===void 0||re.call(ee,b);const se=z?b.original:b.current;this.context.graph.addData(se.add),this.context.graph.updateData(se.update),this.context.graph.removeData(W2(se.remove,!1)),(ae=this.context.element)===null||ae===void 0||ae.draw({silence:!0,animation:b.animation}),this.freezed=!1},this.addCommand=b=>{var z;if(!this.freezed){if(b.type===ci.AFTER_DRAW){const{dataChanges:ee=[],animation:re=!0}=b.data;if(!((z=this.context.batch)===null||z===void 0)&&z.isBatching){if(!this.batchChanges)return;this.batchChanges.push(ee),this.batchAnimation&&(this.batchAnimation=re);return}this.batchChanges=[ee],this.batchAnimation=re}this.undoStackPush(eW(this.batchChanges.flat(),this.batchAnimation,this.context)),this.notify(oh.ADD,this.undoStack[this.undoStack.length-1])}},this.initBatchCommand=b=>{const{initiate:z}=b.data;this.batchAnimation=!1,z?this.batchChanges=[]:this.undoStack.pop()||(this.batchChanges=null)},this.emitter=new iy;const{graph:x}=this.context;x.on(ci.AFTER_DRAW,this.addCommand),x.on(ci.BATCH_START,this.initBatchCommand),x.on(ci.BATCH_END,this.addCommand)}canUndo(){return this.undoStack.length>0}canRedo(){return this.redoStack.length>0}undo(){var a,y,x,b;const z=this.undoStack.pop();if(z){if(this.executeCommand(z),((y=(a=this.options).beforeAddCommand)===null||y===void 0?void 0:y.call(a,z,!1))===!1)return;this.redoStack.push(z),(b=(x=this.options).afterAddCommand)===null||b===void 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a(y){return E.call(this,y,Oj)||this}return a.prototype.renderTitle=function(y,x,b){var z=this.attributes,ee=z.showTitle,re=z.titleText,ae=zo(this.attributes,"title"),se=(0,kt.CR)(_f(ae),2),fe=se[0],me=se[1];this.titleGroup=y.maybeAppendByClassName(zv.titleGroup,"g").styles(me);var Ae=(0,kt.pi)((0,kt.pi)({width:x,height:b},fe),{text:ee?re:""});this.title=this.titleGroup.maybeAppendByClassName(zv.title,function(){return new QW({style:Ae})}).update(Ae)},a.prototype.renderItems=function(y,x){var b=x.x,z=x.y,ee=x.width,re=x.height,ae=zo(this.attributes,"title",!0),se=(0,kt.CR)(_f(ae),2),fe=se[0],me=se[1],Ae=(0,kt.pi)((0,kt.pi)({},fe),{width:ee,height:re,x:0,y:0});this.itemsGroup=y.maybeAppendByClassName(zv.itemsGroup,"g").styles((0,kt.pi)((0,kt.pi)({},me),{transform:"translate(".concat(b,", ").concat(z,")")}));var Te=this;this.itemsGroup.selectAll(zv.items.class).data(["items"]).join(function(Fe){return Fe.append(function(){return new 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").concat(fe,")"),this.renderTitle(me,z,ee),this.renderItems(me,this.availableSpace),this.adjustLayout()},a}(Bl);function jx(E){const{width:a,height:y,renderer:x}=E,b=Bj(E),z=new XE({width:a,height:y,container:b,renderer:x||new Sv});return[b,z]}function Bj(E){var a;const{container:y,className:x,graphCanvas:b}=E;if(y)return typeof y=="string"?document.getElementById(y):y;const z=x0(x,!1),{width:ee,height:re,containerStyle:ae}=E,[se,fe]=Nj(E);return Object.assign(z.style,Object.assign({position:"absolute",left:se+"px",top:fe+"px",width:ee+"px",height:re+"px"},ae)),(a=b.getContainer())===null||a===void 0||a.appendChild(z),z}function Nj(E){const{width:a,height:y,placement:x,graphCanvas:b}=E,[z,ee]=b.getSize(),[re,ae]=Q2(x);return[re*(z-a),ae*(ee-y)]}var Rj=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{const{graph:x}=this.context;x.on(ci.AFTER_DRAW,this.createElement)},this.changeState=(x,b)=>{const{graph:z}=this.context,{typePrefix:ee}=this,re=rc(x,[ee,"id"]),ae=rc(x,[ee,"style","labelText"]),[se]=re.split("__"),fe=this.fieldMap[se].get(ae)||[];z.setElementState(Object.fromEntries(fe==null?void 0:fe.map(me=>[me,b])))},this.click=x=>{if(this.options.trigger==="hover")return;const b=rc(x,[this.typePrefix,"id"]);this.selectedItems.includes(b)?(this.selectedItems=this.selectedItems.filter(z=>z!==b),this.changeState(x,[])):(this.selectedItems.push(b),this.changeState(x,"selected"))},this.mouseleave=x=>{this.options.trigger!=="click"&&(this.selectedItems=[],this.changeState(x,[]))},this.mouseenter=x=>{if(this.options.trigger==="click")return;const b=rc(x,[this.typePrefix,"id"]);this.selectedItems.includes(b)?this.selectedItems=this.selectedItems.filter(z=>z!==b):(this.selectedItems.push(b),this.changeState(x,"active"))},this.setFieldMap=(x,b,z)=>{if(!x)return;const ee=this.fieldMap[z];if(ee)if(!ee.has(x))ee.set(x,[b]);else{const re=ee.get(x);re&&(re.push(b),ee.set(x,re))}},this.getEvents=()=>({mouseenter:this.mouseenter,mouseleave:this.mouseleave,click:this.click}),this.getMarkerData=(x,b)=>{if(!x)return[];const{model:z,element:ee}=this.context,{nodes:re,edges:ae,combos:se}=z.getData(),fe={},me=je=>Gi(x)?x(je):x,Ae={node:"circle",edge:"line",combo:"rect"},Te={circle:"circle",ellipse:"circle",image:"bowtie",rect:"square",star:"cross",triangle:"triangle",diamond:"diamond",cubic:"dot",line:"hyphen",polyline:"hyphen",quadratic:"hv","cubic-horizontal":"hyphen","cubic-vertical":"line"},Fe=(je,Ke)=>ee==null?void 0:ee.getElementComputedStyle(je,Ke),Ue=(je,Ke)=>{je.forEach(Ze=>{const{id:Je}=Ze,tt=rc(Ze,["data",me(Ze)]),at=(ee==null?void 0:ee.getElementType(Ke,Ze))||"circle",st=Fe(Ke,Ze),ft=(Ke==="edge"?st==null?void 0:st.stroke:st==null?void 0:st.fill)||"#1783ff";Je&&tt&&tt.replace(/\s+/g,"")&&(this.setFieldMap(tt,Je,Ke),fe[tt]||(fe[tt]={id:`${Ke}__${Je}`,label:tt,marker:Te[at]||Ae[Ke],elementType:Ke,lineWidth:1,stroke:ft,fill:ft}))})};switch(b){case"node":Ue(re,"node");break;case"edge":Ue(ae,"edge");break;case"combo":Ue(se,"combo");break;default:return[]}return Object.values(fe)},this.createElement=()=>{if(this.draw){this.updateElement();return}const x=this.options,{width:b,height:z,nodeField:ee,edgeField:re,comboField:ae,trigger:se,position:fe,container:me,containerStyle:Ae,className:Te}=x,Fe=Rj(x,["width","height","nodeField","edgeField","comboField","trigger","position","container","containerStyle","className"]),Ue=this.getMarkerData(ee,"node"),je=this.getMarkerData(re,"edge"),Ke=this.getMarkerData(ae,"combo"),Ze=[...Ue,...Ke,...je],Je=Object.assign({width:b,height:z,data:Ze,itemMarkerLineWidth:({lineWidth:st})=>st,itemMarker:({marker:st})=>st,itemMarkerStroke:({stroke:st})=>st,itemMarkerFill:({fill:st})=>st,gridCol:Ue.length},Fe,this.getEvents()),tt=new Tj({className:"legend",style:Je});this.category=tt,this.upsertCanvas().appendChild(tt),this.draw=!0},this.bindEvents()}update(a){super.update(a),this.clear(),this.createElement()}clear(){var a,y;(a=this.canvas)===null||a===void 0||a.destroy(),(y=this.container)===null||y===void 0||y.remove(),this.canvas=void 0,this.container=void 0,this.draw=!1}updateElement(){this.category&&this.category.update({itemMarkerOpacity:({id:a})=>!this.selectedItems.length||this.selectedItems.includes(a)?1:.5,itemLabelOpacity:({id:a})=>!this.selectedItems.length||this.selectedItems.includes(a)?1:.5})}upsertCanvas(){if(this.canvas)return this.canvas;const a=this.context.canvas,[y,x]=a.getSize(),{width:b=y,height:z=x,position:ee,container:re,containerStyle:ae,className:se}=this.options,[fe,me]=jx({width:b,height:z,graphCanvas:a,container:re,containerStyle:ae,placement:ee,className:"legend"});return this.container=fe,se&&fe.classList.add(se),this.canvas=me,this.canvas}destroy(){this.clear(),this.context.graph.off(ci.AFTER_DRAW,this.createElement),super.destroy()}}Jy.defaultOptions={position:"bottom",trigger:"hover",orientation:"horizontal",layout:"flex",itemSpacing:4,rowPadding:10,colPadding:10,itemMarkerSize:16,itemLabelFontSize:16,width:240,height:160};class qy extends Ou{constructor(a,y){super(a,Object.assign({},qy.defaultOptions,y)),this.onDraw=x=>{var b;!((b=x==null?void 0:x.data)===null||b===void 0)&&b.render||this.onRender()},this.shapes=new Map,this.landmarkMap=new Map,this.mask=null,this.isMaskDragging=!1,this.onMaskDragStart=x=>{this.mask&&(this.isMaskDragging=!0,this.mask.setPointerCapture(x.pointerId),this.mask.addEventListener("pointermove",this.onMaskDrag),this.mask.addEventListener("pointerup",this.onMaskDragEnd),this.mask.addEventListener("pointercancel",this.onMaskDragEnd))},this.onMaskDrag=x=>{if(!this.mask||!this.isMaskDragging)return;const{size:[b,z]}=this.options,{movementX:ee,movementY:re}=x,{left:ae,top:se,width:fe,height:me}=this.mask.style,[,,Ae,Te]=this.maskBBox;let Fe=parseInt(ae)+ee,Ue=parseInt(se)+re,je=parseInt(fe),Ke=parseInt(me);Fe<0&&(Fe=0),Ue<0&&(Ue=0),Fe+je>b&&(Fe=bh(b-je,0)),Ue+Ke>z&&(Ue=bh(z-Ke,0)),je0?(Fe=bh(Fe-ee,0),je=Sh(je+ee,b)):ee<0&&(je=Sh(je-ee,b))),Ke0?(Ue=bh(Ue-re,0),Ke=Sh(Ke+re,z)):re<0&&(Ke=Sh(Ke-re,z))),Object.assign(this.mask.style,{left:Fe+"px",top:Ue+"px",width:je+"px",height:Ke+"px"});const Ze=parseInt(ae)-Fe,Je=parseInt(se)-Ue;if(Ze===0&&Je===0)return;const tt=this.context.canvas.getCamera().getZoom(),at=this.canvas.getCamera().getZoom(),st=tt/at;this.context.graph.translateBy([Ze*st,Je*st],!1)},this.onMaskDragEnd=x=>{this.mask&&(this.isMaskDragging=!1,this.mask.releasePointerCapture(x.pointerId),this.mask.removeEventListener("pointermove",this.onMaskDrag),this.mask.removeEventListener("pointerup",this.onMaskDragEnd),this.mask.removeEventListener("pointercancel",this.onMaskDragEnd))},this.onTransform=n2(()=>{this.isMaskDragging||(this.updateMask(),this.setCamera())},32,{leading:!0}),this.setOnRender(),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),"delay"in a&&this.setOnRender(),this.bindEvents()}setOnRender(){this.onRender=wv(()=>{this.renderMinimap(),this.renderMask()},this.options.delay)}bindEvents(){const{graph:a}=this.context;a.on(ci.AFTER_DRAW,this.onDraw),a.on(ci.AFTER_RENDER,this.onRender),a.on(ci.AFTER_TRANSFORM,this.onTransform)}unbindEvents(){const{graph:a}=this.context;a.off(ci.AFTER_DRAW,this.onDraw),a.off(ci.AFTER_RENDER,this.onRender),a.off(ci.AFTER_TRANSFORM,this.onTransform)}renderMinimap(){const a=this.getElements(),y=this.initCanvas();this.setShapes(y,a)}getElements(){const{filter:a}=this.options,{model:y}=this.context,x=y.getData();if(!a)return x;const{nodes:b,edges:z,combos:ee}=x;return{nodes:b.filter(re=>a(_r(re),"node")),edges:z.filter(re=>a(_r(re),"edge")),combos:ee.filter(re=>a(_r(re),"combo"))}}setShapes(a,y){const{nodes:x,edges:b,combos:z}=y,{shape:ee}=this.options,{element:re}=this.context;if(ee==="key"){const se=new Set,fe=me=>{const Ae=_r(me);se.add(Ae);const Te=re.getElement(Ae);if(!Te)return;const Fe=Te.getShape("key"),Ue=this.shapes.get(Ae)||Fe.cloneNode();Ue.setPosition(Fe.getPosition()),Te.style.zIndex&&(Ue.style.zIndex=Te.style.zIndex),Ue.id=Te.id,this.shapes.has(Ae)?Object.entries(Fe.attributes).forEach(([je,Ke])=>{Ue.style[je]!==Ke&&(Ue.style[je]=Ke)}):(a.appendChild(Ue),this.shapes.set(Ae,Ue))};b.forEach(fe),z.forEach(fe),x.forEach(fe),this.shapes.forEach((me,Ae)=>{se.has(Ae)||(a.removeChild(me),this.shapes.delete(Ae))});return}const ae=(se,fe)=>{const Ae=re.getElement(se).getPosition();return fe.setPosition(Ae),fe};a.removeChildren(),b.forEach(se=>a.appendChild(ee(_r(se),"edge"))),z.forEach(se=>{a.appendChild(ae(_r(se),ee(_r(se),"combo")))}),x.forEach(se=>{a.appendChild(ae(_r(se),ee(_r(se),"node")))})}initCanvas(){const{renderer:a,size:[y,x]}=this.options;if(this.canvas){const{width:b,height:z}=this.canvas.getConfig();(y!==b||x!==z)&&this.canvas.resize(y,x),a&&this.canvas.setRenderer(a)}else{const{className:b,position:z,container:ee,containerStyle:re}=this.options,[ae,se]=jx({renderer:a,width:y,height:x,placement:z,className:"minimap",container:ee,containerStyle:re,graphCanvas:this.context.canvas});b&&ae.classList.add(b),this.container=ae,this.canvas=se}return this.setCamera(),this.canvas}createLandmark(a,y,x){const b=`${a.join(",")}-${y.join(",")}-${x}`;if(this.landmarkMap.has(b))return this.landmarkMap.get(b);const ee=this.canvas.getCamera().createLandmark(b,{position:a,focalPoint:y,zoom:x});return this.landmarkMap.set(b,ee),ee}setCamera(){var a;const{canvas:y}=this.context,x=(a=this.canvas)===null||a===void 0?void 0:a.getCamera();if(!x)return;const{size:[b,z],padding:ee}=this.options,[re,ae,se,fe]=Ld(ee),{min:me,max:Ae,center:Te}=y.getBounds("elements"),Fe=Ae[0]-me[0],Ue=Ae[1]-me[1],je=b-fe-ae,Ke=z-re-se,Ze=je/Fe,Je=Ke/Ue,tt=Math.min(Ze,Je),at=this.createLandmark(Te,Te,tt);x.gotoLandmark(at,0)}get maskBBox(){const{canvas:a}=this.context,y=a.getSize(),x=a.getCanvasByViewport([0,0]),b=a.getCanvasByViewport(y),z=this.canvas.canvas2Viewport(Rd(x)),ee=this.canvas.canvas2Viewport(Rd(b)),re=ee.x-z.x,ae=ee.y-z.y;return[z.x,z.y,re,ae]}calculateMaskBBox(){const{size:[a,y]}=this.options;let[x,b,z,ee]=this.maskBBox;return x<0&&(z=Sh(z+x,a),x=0),b<0&&(ee=Sh(ee+b,y),b=0),x+z>a&&(z=bh(a-x,0)),b+ee>y&&(ee=bh(y-b,0)),[Sh(x,a),Sh(b,y),bh(z,0),bh(ee,0)]}renderMask(){const{maskStyle:a}=this.options;this.mask||(this.mask=document.createElement("div"),this.mask.addEventListener("pointerdown",this.onMaskDragStart)),this.container.appendChild(this.mask),Object.assign(this.mask.style,Object.assign(Object.assign({},a),{cursor:"move",position:"absolute",pointerEvents:"auto"})),this.updateMask()}updateMask(){if(!this.mask)return;const[a,y,x,b]=this.calculateMaskBBox();Object.assign(this.mask.style,{top:y+"px",left:a+"px",width:x+"px",height:b+"px"})}destroy(){var a;this.unbindEvents(),this.canvas.destroy(),(a=this.mask)===null||a===void 0||a.remove(),super.destroy()}}qy.defaultOptions={size:[240,160],shape:"key",padding:10,position:"right-bottom",maskStyle:{border:"1px solid #ddd",background:"rgba(0, 0, 0, 0.1)"},containerStyle:{border:"1px solid #ddd",background:"#fff"},delay:128};const Sh=(E,a)=>Math.min(E,a),bh=(E,a)=>Math.max(E,a);var Gx=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};const Vx={x1:0,y1:0,x2:0,y2:0,visibility:"hidden"};class $y extends Ou{constructor(a,y){super(a,Object.assign({},$y.defaultOptions,y)),this.initSnapline=()=>{const x=this.context.canvas.getLayer("transient");this.horizontalLine||(this.horizontalLine=x.appendChild(new ug({style:Object.assign(Object.assign({},Vx),this.options.horizontalLineStyle)}))),this.verticalLine||(this.verticalLine=x.appendChild(new ug({style:Object.assign(Object.assign({},Vx),this.options.verticalLineStyle)})))},this.isHorizontalSticking=!1,this.isVerticalSticking=!1,this.enableStick=!0,this.autoSnapToLine=(x,b,z)=>Gx(this,void 0,void 0,function*(){const{verticalX:ee,horizontalY:re}=z,{tolerance:ae}=this.options,{min:[se,fe],max:[me,Ae],center:[Te,Fe]}=b;let Ue=0,je=0;ee!==null&&(Ku(me,ee){const{target:b}=x,z=.5;if(this.isHorizontalSticking||this.isVerticalSticking){const[ee,re]=this.getDelta(x);if(this.isHorizontalSticking&&this.isVerticalSticking&&Math.abs(ee)<=z&&Math.abs(re)<=z)return this.context.graph.translateElementBy({[b.id]:[-ee,-re]},!1),!1;if(this.isHorizontalSticking&&Math.abs(re)<=z)return this.context.graph.translateElementBy({[b.id]:[0,-re]},!1),!1;if(this.isVerticalSticking&&Math.abs(ee)<=z)return this.context.graph.translateElementBy({[b.id]:[-ee,0]},!1),!1;this.isHorizontalSticking=!1,this.isVerticalSticking=!1,this.enableStick=!1,setTimeout(()=>{this.enableStick=!0},200)}return this.enableStick},this.calcSnaplineMetadata=(x,b)=>{const{tolerance:z,shape:ee}=this.options,{min:[re,ae],max:[se,fe],center:[me,Ae]}=b;let Te=null,Fe=null,Ue=null,je=null,Ke=null,Ze=null;return this.getNodes().some(Je=>{if(Vl(x.id,Je.id))return!1;const tt=sD(Je,ee).getRenderBounds(),{min:[at,st],max:[ft,lt],center:[wt,Bt]}=tt;return Te===null&&(Ku(wt,me){this.initSnapline()},this.onDrag=x=>Gx(this,void 0,void 0,function*(){const{target:b}=x;if(this.options.autoSnap&&!this.enableSnap(x))return;const z=sD(b,this.options.shape).getRenderBounds(),ee=this.calcSnaplineMetadata(b,z);this.hideSnapline(),(ee.verticalX!==null||ee.horizontalY!==null)&&this.updateSnapline(ee),this.options.autoSnap&&(yield this.autoSnapToLine(b.id,z,ee))}),this.onDragEnd=()=>{this.hideSnapline()},this.bindEvents()}getNodes(){var a;const{filter:y}=this.options,b=(((a=this.context.element)===null||a===void 0?void 0:a.getNodes())||[]).filter(z=>{var ee;return ek(z)&&((ee=this.context.viewport)===null||ee===void 0?void 0:ee.isInViewport(z.getRenderBounds()))});return y?b.filter(z=>y(z)):b}hideSnapline(){this.horizontalLine.style.visibility="hidden",this.verticalLine.style.visibility="hidden"}getLineWidth(a){const{lineWidth:y}=this.options[`${a}LineStyle`];return+(y||Vx.lineWidth||1)/this.context.graph.getZoom()}updateSnapline(a){const{verticalX:y,verticalMinY:x,verticalMaxY:b,horizontalY:z,horizontalMinX:ee,horizontalMaxX:re}=a,[ae,se]=this.context.canvas.getSize(),{offset:fe}=this.options;z!==null?Object.assign(this.horizontalLine.style,{x1:fe===1/0?0:ee-fe,y1:z,x2:fe===1/0?ae:re+fe,y2:z,visibility:"visible",lineWidth:this.getLineWidth("horizontal")}):this.horizontalLine.style.visibility="hidden",y!==null?Object.assign(this.verticalLine.style,{x1:y,y1:fe===1/0?0:x-fe,x2:y,y2:fe===1/0?se:b+fe,visibility:"visible",lineWidth:this.getLineWidth("vertical")}):this.verticalLine.style.visibility="hidden"}getDelta(a){const y=this.context.graph.getZoom();return Nd([a.dx,a.dy],y)}bindEvents(){return Gx(this,void 0,void 0,function*(){const{graph:a}=this.context;a.on(ld.DRAG_START,this.onDragStart),a.on(ld.DRAG,this.onDrag),a.on(ld.DRAG_END,this.onDragEnd)})}unbindEvents(){const{graph:a}=this.context;a.off(ld.DRAG_START,this.onDragStart),a.off(ld.DRAG,this.onDrag),a.off(ld.DRAG_END,this.onDragEnd)}destroyElements(){var a,y;(a=this.horizontalLine)===null||a===void 0||a.destroy(),(y=this.verticalLine)===null||y===void 0||y.destroy()}destroy(){this.destroyElements(),this.unbindEvents(),super.destroy()}}$y.defaultOptions={tolerance:5,offset:20,autoSnap:!0,shape:"key",verticalLineStyle:{stroke:"#1783FF"},horizontalLineStyle:{stroke:"#1783FF"},filter:()=>!0};const Ku=(E,a)=>Math.abs(E-a),sD=(E,a)=>typeof a=="function"?a(E):E.getShape(a);var lD=null,_j=null;function e1(E){return E instanceof Date?E:new Date(E)}function Fj(E){for(var a=__read(E,2),y=a[0],x=a[1],b=lD.indexOf(y),z=lD.indexOf(x),ee="",re=b;re<=z;re+=1)if(ee+=_j[re],re2&&(ae=":"),ee+=ae}return ee}function sc(E,a){var 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je=this.baseline;z?Ue=ee?EV(Fe,se,je):yV(Fe,se,je):Ue=pV(Fe,ee,se,je)}return{lines:Fe.map(function(Ke,Ze){return(0,kt.pi)({stroke:y.getColor(Ze),d:ee?u1(Ke):Kv(Ke)},ae)}),areas:Ue.map(function(Ke,Ze){return(0,kt.pi)({d:Ke,fill:y.getColor(Ze)},re)})}},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"columnsStyle",{get:function(){var y=this,x=zo(this.attributes,"column"),b=this.attributes,z=b.isStack,ee=b.type,re=b.scale;if(ee!=="column")throw new Error("columnsStyle can only be used in column type");var ae=this.containerShape.height,se=this.rawData;if(!se)return{columns:[]};z&&(se=ZD(se));var fe=this.createScales(se),me=fe.x,Ae=fe.y,Te=(0,kt.CR)(KD(se),2),Fe=Te[0],Ue=Te[1],je=new Hv({domain:[0,Ue-(Fe>0?0:Fe)],range:[0,ae*re]}),Ke=me.getBandWidth(),Ze=this.rawData;return{columns:se.map(function(Je,tt){return Je.map(function(at,st){var ft=Ke/se.length,lt=function(){return{x:me.map(st)+ft*tt,y:at>=0?Ae.map(at):Ae.map(0),width:ft,height:je.map(Math.abs(at))}},wt=function(){return{x:me.map(st),y:Ae.map(at),width:Ke,height:je.map(Ze[tt][st])}};return(0,kt.pi)((0,kt.pi)({fill:y.getColor(tt)},x),z?wt():lt())})})}},enumerable:!1,configurable:!0}),a.prototype.render=function(y,x){VW(x,".container","rect").attr("className","container").node();var b=y.type,z=y.x,ee=y.y,re="spark".concat(b),ae=(0,kt.pi)({x:z,y:ee},b==="line"?this.linesStyle:this.columnsStyle);Vi(x).selectAll(".spark").data([b]).join(function(se){return se.append(function(fe){return fe==="line"?new hV({className:re,style:ae}):new fV({className:re,style:ae})}).attr("className","spark ".concat(re))},function(se){return se.update(ae)},function(se){return se.remove()})},a.prototype.getColor=function(y){var x=this.attributes.color;return Bc(x)?x[y%x.length]:Gi(x)?x.call(null,y):x},a.prototype.createScales=function(y){var x,b,z=this.attributes,ee=z.type,re=z.scale,ae=z.range,se=ae===void 0?[]:ae,fe=z.spacing,me=this.containerShape,Ae=me.width,Te=me.height,Fe=(0,kt.CR)(KD(y),2),Ue=Fe[0],je=Fe[1],Ke=new Hv({domain:[(x=se[0])!==null&&x!==void 0?x:Ue,(b=se[1])!==null&&b!==void 0?b:je],range:[Te,Te*(1-re)]});return ee==="line"?{type:ee,x:new Hv({domain:[0,y[0].length-1],range:[0,Ae]}),y:Ke}:{type:ee,x:new uS({domain:y[0].map(function(Ze,Je){return Je}),range:[0,Ae],paddingInner:fe,paddingOuter:fe/2,align:.5}),y:Ke}},a.tag="sparkline",a}(Bl),QD={fill:"#fff",lineWidth:1,radius:2,size:10,stroke:"#bfbfbf",strokeOpacity:1,zIndex:0},YD={fill:"#000",fillOpacity:.45,fontSize:12,textAlign:"center",textBaseline:"middle",zIndex:1},XD={x:0,y:0,orientation:"horizontal",showLabel:!0,type:"start"},ff=zd({foreground:"foreground",handle:"handle",selection:"selection",sparkline:"sparkline",sparklineGroup:"sparkline-group",track:"track",brushArea:"brush-area"},"slider"),Ch=zd({labelGroup:"label-group",label:"label",iconGroup:"icon-group",icon:"icon",iconRect:"icon-rect",iconLine:"icon-line"},"handle"),bV=function(E){(0,kt.ZT)(a,E);function a(){return E!==null&&E.apply(this,arguments)||this}return a.prototype.render=function(y,x){var b=y.x,z=y.y,ee=y.size,re=ee===void 0?10:ee,ae=y.radius,se=ae===void 0?re/4:ae,fe=y.orientation,me=(0,kt._T)(y,["x","y","size","radius","orientation"]),Ae=re,Te=Ae*2.4,Fe=Vi(x).maybeAppendByClassName(Ch.iconRect,"rect").styles((0,kt.pi)((0,kt.pi)({},me),{width:Ae,height:Te,radius:se,x:b-Ae/2,y:z-Te/2,transformOrigin:"center"})),Ue=b+1/3*Ae-Ae/2,je=b+2/3*Ae-Ae/2,Ke=z+1/4*Te-Te/2,Ze=z+3/4*Te-Te/2;Fe.maybeAppendByClassName("".concat(Ch.iconLine,"-1"),"line").styles((0,kt.pi)({x1:Ue,x2:Ue,y1:Ke,y2:Ze},me)),Fe.maybeAppendByClassName("".concat(Ch.iconLine,"-2"),"line").styles((0,kt.pi)({x1:je,x2:je,y1:Ke,y2:Ze},me)),fe==="vertical"&&(Fe.node().style.transform="rotate(90)")},a}(Bl),CV=function(E){(0,kt.ZT)(a,E);function a(y){return E.call(this,y,XD)||this}return a.prototype.renderLabel=function(y){var x=this,b=this.attributes,z=b.x,ee=b.y,re=b.showLabel,ae=zo(this.attributes,"label"),se=ae.x,fe=se===void 0?0:se,me=ae.y,Ae=me===void 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ee=x.availableSpace,re=ee.x,ae=ee.y,se=x.getBBox(),fe=se.x,me=se.y;x.selectionStartPos=x.getRatio(x.prevPos-x.getOrientVal([re,ae])-x.getOrientVal([+fe,+me])),x.selectionWidth=0,document.addEventListener("pointermove",x.onDragging),document.addEventListener("pointerup",x.onDragEnd)}},x.onDragging=function(b){var z=x.attributes,ee=z.slidable,re=z.brushable,ae=z.type;b.stopPropagation();var se=x.getOrientVal(_D(b)),fe=se-x.prevPos;if(fe){var 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Object.defineProperty(a.prototype,"values",{get:function(){return this.attributes.values},set:function(y){this.attributes.values=this.clampValues(y)},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"sparklineStyle",{get:function(){var y=this.attributes.orientation;if(y!=="horizontal")return null;var x=zo(this.attributes,"sparkline");return(0,kt.pi)((0,kt.pi)({zIndex:0},this.availableSpace),x)},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"shape",{get:function(){var y=this.attributes,x=y.trackLength,b=y.trackSize,z=(0,kt.CR)(this.getOrientVal([[x,b],[b,x]]),2),ee=z[0],re=z[1];return{width:ee,height:re}},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"availableSpace",{get:function(){var 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b=this.values,z=this.clampValues(y);this.attributes.values=z,this.setValues(z),x&&this.onValueChange(b)},a.prototype.renderTrack=function(y){var x=this.attributes,b=x.x,z=x.y,ee=zo(this.attributes,"track");this.trackShape=Vi(y).maybeAppendByClassName(ff.track,"rect").styles((0,kt.pi)((0,kt.pi)({x:b,y:z},this.shape),ee))},a.prototype.renderBrushArea=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.brushable;this.brushArea=Vi(y).maybeAppendByClassName(ff.brushArea,"rect").styles((0,kt.pi)({x:b,y:z,fill:"transparent",cursor:ee?"crosshair":"default"},this.shape))},a.prototype.renderSparkline=function(y){var x=this,b=this.attributes,z=b.x,ee=b.y,re=b.orientation,ae=Vi(y).maybeAppendByClassName(ff.sparklineGroup,"g");jc(re==="horizontal",ae,function(se){var fe=(0,kt.pi)((0,kt.pi)({},x.sparklineStyle),{x:z,y:ee});se.maybeAppendByClassName(ff.sparkline,function(){return new SV({style:fe})}).update(fe)})},a.prototype.renderHandles=function(){var y=this,x,b=this.attributes,z=b.showHandle,ee=b.type,re=ee==="range"?["start","end"]:["end"],ae=z?re:[],se=this;(x=this.foregroundGroup)===null||x===void 0||x.selectAll(ff.handle.class).data(ae.map(function(fe){return{type:fe}}),function(fe){return fe.type}).join(function(fe){return fe.append(function(me){var Ae=me.type;return new CV({style:y.getHandleStyle(Ae)})}).each(function(me){var Ae=me.type;this.attr("class","".concat(ff.handle.name," ").concat(Ae,"-handle"));var Te="".concat(Ae,"Handle");se[Te]=this,this.addEventListener("pointerdown",se.onDragStart(Ae))})},function(fe){return fe.each(function(me){var Ae=me.type;this.update(se.getHandleStyle(Ae))})},function(fe){return fe.each(function(me){var Ae=me.type,Te="".concat(Ae,"Handle");se[Te]=void 0}).remove()})},a.prototype.renderSelection=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.type,re=x.selectionType;this.foregroundGroup=Vi(y).maybeAppendByClassName(ff.foreground,"g");var ae=zo(this.attributes,"selection"),se=function(me){return me.style("visibility",function(Ae){return Ae.show?"visible":"hidden"}).style("cursor",function(Ae){return re==="select"?"grab":re==="invert"?"crosshair":"default"}).styles((0,kt.pi)((0,kt.pi)({},ae),{transform:"translate(".concat(b,", ").concat(z,")")}))},fe=this;this.foregroundGroup.selectAll(ff.selection.class).data(ee==="value"?[]:this.calcSelectionArea().map(function(me,Ae){return{style:(0,kt.pi)({},me),index:Ae,show:re==="select"?Ae===1:Ae!==1}}),function(me){return me.index}).join(function(me){return me.append("rect").attr("className",ff.selection.name).call(se).each(function(Ae,Te){var Fe=this;Te===1?(fe.selectionShape=Vi(this),this.on("pointerdown",function(Ue){Fe.attr("cursor","grabbing"),fe.onDragStart("selection")(Ue)}),fe.dispatchCustomEvent(this,"pointerenter","selectionMouseenter"),fe.dispatchCustomEvent(this,"pointerleave","selectionMouseleave"),fe.dispatchCustomEvent(this,"click","selectionClick"),this.addEventListener("pointerdown",function(){Fe.attr("cursor","grabbing")}),this.addEventListener("pointerup",function(){Fe.attr("cursor","pointer")}),this.addEventListener("pointerover",function(){Fe.attr("cursor","pointer")})):this.on("pointerdown",fe.onDragStart("track"))})},function(me){return me.call(se)},function(me){return me.remove()}),this.updateSelectionArea(!1),this.renderHandles()},a.prototype.render=function(y,x){this.renderTrack(x),this.renderSparkline(x),this.renderBrushArea(x),this.renderSelection(x)},a.prototype.clampValues=function(y,x){var b;x===void 0&&(x=4);var z=(0,kt.CR)(this.range,2),ee=z[0],re=z[1],ae=(0,kt.CR)(this.getValues().map(function(je){return eS(je,x)}),2),se=ae[0],fe=ae[1],me=Array.isArray(y)?y:[se,y!=null?y:fe],Ae=(0,kt.CR)((me||[se,fe]).map(function(je){return eS(je,x)}),2),Te=Ae[0],Fe=Ae[1];if(this.attributes.type==="value")return[0,bl(Fe,ee,re)];Te>Fe&&(b=(0,kt.CR)([Fe,Te],2),Te=b[0],Fe=b[1]);var Ue=Fe-Te;return Ue>re-ee?[ee,re]:Tere?fe===re&&se===Te?[Te,re]:[re-Ue,re]:[Te,Fe]},a.prototype.calcSelectionArea=function(y){var x=(0,kt.CR)(this.clampValues(y),2),b=x[0],z=x[1],ee=this.availableSpace,re=ee.x,ae=ee.y,se=ee.width,fe=ee.height;return this.getOrientVal([[{y:ae,height:fe,x:re,width:b*se},{y:ae,height:fe,x:b*se+re,width:(z-b)*se},{y:ae,height:fe,x:z*se,width:(1-z)*se}],[{x:re,width:se,y:ae,height:b*fe},{x:re,width:se,y:b*fe+ae,height:(z-b)*fe},{x:re,width:se,y:z*fe,height:(1-z)*fe}]])},a.prototype.calcHandlePosition=function(y){var x=this.attributes.handleIconOffset,b=this.availableSpace,z=b.x,ee=b.y,re=b.width,ae=b.height,se=(0,kt.CR)(this.clampValues(),2),fe=se[0],me=se[1],Ae=y==="start"?-x:x,Te=(y==="start"?fe:me)*this.getOrientVal([re,ae])+Ae;return{x:z+this.getOrientVal([Te,re/2]),y:ee+this.getOrientVal([ae/2,Te])}},a.prototype.inferTextStyle=function(y){var x=this.attributes.orientation;return x==="horizontal"?{}:y==="start"?{transformOrigin:"left center",transform:"rotate(90)",textAlign:"start"}:y==="end"?{transformOrigin:"right center",transform:"rotate(90)",textAlign:"end"}:{}},a.prototype.calcHandleText=function(y){var x,b=this.attributes,z=b.type,ee=b.orientation,re=b.formatter,ae=b.autoFitLabel,se=zo(this.attributes,"handle"),fe=zo(se,"label"),me=se.spacing,Ae=this.getHandleSize(),Te=this.clampValues(),Fe=y==="start"?Te[0]:Te[1],Ue=re(Fe),je=new 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y=this.attributes.handleIconShape,x=zo(this.attributes,"handleIcon"),b=this.getOrientVal(["ew-resize","ns-resize"]),z=this.getHandleSize();return(0,kt.pi)({cursor:b,shape:y,size:z},x)},a.prototype.getHandleStyle=function(y){var x=this.attributes,b=x.x,z=x.y,ee=x.showLabel,re=x.showLabelOnInteraction,ae=x.orientation,se=this.calcHandlePosition(y),fe=se.x,me=se.y,Ae=this.calcHandleText(y),Te=ee;return!ee&&re&&(this.target?Te=!0:Te=!1),(0,kt.pi)((0,kt.pi)((0,kt.pi)({},S0(this.getHandleIconStyle(),"icon")),S0((0,kt.pi)((0,kt.pi)({},this.getHandleLabelStyle(y)),Ae),"label")),{transform:"translate(".concat(fe+b,", ").concat(me+z,")"),orientation:ae,showLabel:Te,type:y,zIndex:3})},a.prototype.getHandleSize=function(){var y=this.attributes,x=y.handleIconSize,b=y.width,z=y.height;return x||Math.floor((this.getOrientVal([+z,+b])+4)/2.4)},a.prototype.getOrientVal=function(y){var x=(0,kt.CR)(y,2),b=x[0],z=x[1],ee=this.attributes.orientation;return ee==="horizontal"?b:z},a.prototype.setValuesOffset=function(y,x,b){x===void 0&&(x=0),b===void 0&&(b=!1);var z=this.attributes.type,ee=(0,kt.CR)(this.getValues(),2),re=ee[0],ae=ee[1],se=z==="range"?y:0,fe=[re+se,ae+x].sort();b?this.setValues(fe):this.innerSetValues(fe,!0)},a.prototype.getRatio=function(y){var x=this.availableSpace,b=x.width,z=x.height;return y/this.getOrientVal([b,z])},a.prototype.dispatchCustomEvent=function(y,x,b){var z=this;y.on(x,function(ee){ee.stopPropagation(),z.dispatchEvent(new $l(b,{detail:ee}))})},a.prototype.bindEvents=function(){this.addEventListener("wheel",this.onScroll);var y=this.brushArea;this.dispatchCustomEvent(y,"click","trackClick"),this.dispatchCustomEvent(y,"pointerenter","trackMouseenter"),this.dispatchCustomEvent(y,"pointerleave","trackMouseleave"),y.on("pointerdown",this.onDragStart("track"))},a.prototype.onScroll=function(y){var x=this.attributes.scrollable;if(x){var b=y.deltaX,z=y.deltaY,ee=z||b,re=this.getRatio(ee);this.setValuesOffset(re,re,!0)}},a.tag="slider",a}(Bl),wV={backgroundFill:"#262626",backgroundLineCap:"round",backgroundLineWidth:1,backgroundStroke:"#333",backgroundZIndex:-1,formatter:function(E){return E.toString()},labelFill:"#fff",labelFontSize:12,labelTextBaseline:"middle",padding:[2,4],position:"right",radius:0,zIndex:999},dS=zd({background:"background",labelGroup:"label-group",label:"label"},"indicator"),MV=function(E){(0,kt.ZT)(a,E);function a(y){var x=E.call(this,y,wV)||this;return x.point=[0,0],x.group=x.appendChild(new lu({})),x.isMutationObserved=!0,x}return a.prototype.renderBackground=function(){if(this.label){var y=this.attributes,x=y.position,b=y.padding,z=(0,kt.CR)(Tu(b),4),ee=z[0],re=z[1],ae=z[2],se=z[3],fe=this.label.node().getLocalBounds(),me=fe.min,Ae=fe.max,Te=new Hu(me[0]-se,me[1]-ee,Ae[0]+re-me[0]+se,Ae[1]+ae-me[1]+ee),Fe=this.getPath(x,Te),Ue=zo(this.attributes,"background");this.background=Vi(this.group).maybeAppendByClassName(dS.background,"path").styles((0,kt.pi)((0,kt.pi)({},Ue),{d:Fe})),this.group.appendChild(this.label.node())}},a.prototype.renderLabel=function(){var y=this.attributes,x=y.formatter,b=y.labelText,z=zo(this.attributes,"label"),ee=(0,kt.CR)(_f(z),2),re=ee[0],ae=ee[1],se=re.text,fe=(0,kt._T)(re,["text"]);if(this.label=Vi(this.group).maybeAppendByClassName(dS.labelGroup,"g").styles(ae),!!b){var me=this.label.maybeAppendByClassName(dS.label,function(){return Ff(x(b))}).style("text",x(b).toString());me.selectAll("text").styles(fe)}},a.prototype.adjustLayout=function(){var y=(0,kt.CR)(this.point,2),x=y[0],b=y[1],z=this.attributes,ee=z.x,re=z.y;this.group.attr("transform","translate(".concat(ee-x,", ").concat(re-b,")"))},a.prototype.getPath=function(y,x){var b=this.attributes.radius,z=x.x,ee=x.y,re=x.width,ae=x.height,se=[["M",z+b,ee],["L",z+re-b,ee],["A",b,b,0,0,1,z+re,ee+b],["L",z+re,ee+ae-b],["A",b,b,0,0,1,z+re-b,ee+ae],["L",z+b,ee+ae],["A",b,b,0,0,1,z,ee+ae-b],["L",z,ee+b],["A",b,b,0,0,1,z+b,ee],["Z"]],fe={top:4,right:6,bottom:0,left:2},me=fe[y],Ae=this.createCorner([se[me].slice(-2),se[me+1].slice(-2)]);return se.splice.apply(se,(0,kt.ev)([me+1,1],(0,kt.CR)(Ae),!1)),se[0][0]="M",se},a.prototype.createCorner=function(y,x){x===void 0&&(x=10);var b=.8,z=Pj.apply(void 0,(0,kt.ev)([],(0,kt.CR)(y),!1)),ee=(0,kt.CR)(y,2),re=(0,kt.CR)(ee[0],2),ae=re[0],se=re[1],fe=(0,kt.CR)(ee[1],2),me=fe[0],Ae=fe[1],Te=(0,kt.CR)(z?[me-ae,[ae,me]]:[Ae-se,[se,Ae]],2),Fe=Te[0],Ue=(0,kt.CR)(Te[1],2),je=Ue[0],Ke=Ue[1],Ze=Fe/2,Je=Fe/Math.abs(Fe),tt=x*Je,at=tt/2,st=tt*Math.sqrt(3)/2*b,ft=(0,kt.CR)([je,je+Ze-at,je+Ze,je+Ze+at,Ke],5),lt=ft[0],wt=ft[1],Bt=ft[2],Vt=ft[3],Xt=ft[4];return z?(this.point=[Bt,se-st],[["L",lt,se],["L",wt,se],["L",Bt,se-st],["L",Vt,se],["L",Xt,se]]):(this.point=[ae+st,Bt],[["L",ae,lt],["L",ae,wt],["L",ae+st,Bt],["L",ae,Vt],["L",ae,Xt]])},a.prototype.applyVisibility=function(){var y=this.attributes.visibility;y==="hidden"?kd(this):Fv(this)},a.prototype.bindEvents=function(){this.label.on(is.BOUNDS_CHANGED,this.renderBackground)},a.prototype.render=function(){this.renderLabel(),this.renderBackground(),this.adjustLayout(),this.applyVisibility()},a}(Bl),DV=function(E){(0,kt.ZT)(a,E);function a(y){var x=E.call(this,xu({},a.defaultOptions,y))||this;return x.hoverColor="#f5f5f5",x.selectedColor="#e6f7ff",x.background=x.appendChild(new Du({})),x.label=x.background.appendChild(new lu({})),x}return Object.defineProperty(a.prototype,"padding",{get:function(){return Tu(this.style.padding)},enumerable:!1,configurable:!0}),a.prototype.renderLabel=function(){var y=this.style,x=y.label,b=y.value,z=zo(this.attributes,"label");Vi(this.label).maybeAppend(".label",function(){return Ff(x)}).attr("className","label").styles(z),this.label.attr("__data__",b)},a.prototype.renderBackground=function(){var y=this.label.getBBox(),x=(0,kt.CR)(this.padding,4),b=x[0],z=x[1],ee=x[2],re=x[3],ae=y.width,se=y.height,fe=ae+re+z,me=se+b+ee,Ae=zo(this.attributes,"background"),Te=this.style,Fe=Te.width,Ue=Fe===void 0?0:Fe,je=Te.height,Ke=je===void 0?0:je,Ze=Te.selected;this.background.attr((0,kt.pi)((0,kt.pi)({},Ae),{width:Math.max(fe,Ue),height:Math.max(me,Ke),fill:Ze?this.selectedColor:"#fff"})),this.label.attr({transform:"translate(".concat(re,", ").concat((me-se)/2,")")})},a.prototype.render=function(){this.renderLabel(),this.renderBackground()},a.prototype.bindEvents=function(){var y=this;this.addEventListener("pointerenter",function(){y.style.selected||y.background.attr("fill",y.hoverColor)}),this.addEventListener("pointerleave",function(){y.style.selected||y.background.attr("fill",y.style.backgroundFill)});var x=this;this.addEventListener("click",function(){var b=y.style,z=b.label,ee=b.value,re=b.onClick;re==null||re(ee,{label:z,value:ee},x)})},a.defaultOptions={style:{value:"",label:"",cursor:"pointer"}},a}(Bl),IV=function(E){(0,kt.ZT)(a,E);function a(y){var x,b,z=E.call(this,xu({},a.defaultOptions,y))||this;z.currentValue=(x=a.defaultOptions.style)===null||x===void 0?void 0:x.defaultValue,z.isPointerInSelect=!1,z.select=z.appendChild(new Du({className:"select",style:{cursor:"pointer",width:0,height:0}})),z.dropdown=z.appendChild(new Du({className:"dropdown"}));var ee=z.style.defaultValue;return ee&&(!((b=z.style.options)===null||b===void 0)&&b.some(function(re){return re.value===ee}))&&(z.currentValue=ee),z}return a.prototype.setValue=function(y){this.currentValue=y,this.render()},a.prototype.getValue=function(){return this.currentValue},Object.defineProperty(a.prototype,"dropdownPadding",{get:function(){return Tu(this.style.dropdownPadding)},enumerable:!1,configurable:!0}),a.prototype.renderSelect=function(){var y=this,x,b=this.style,z=b.x,ee=b.y,re=b.width,ae=b.height,se=b.bordered,fe=b.showDropdownIcon,me=zo(this.attributes,"select"),Ae=zo(this.attributes,"placeholder");this.select.attr((0,kt.pi)((0,kt.pi)({x:z,y:ee,width:re,height:ae},me),{fill:"#fff",strokeWidth:se?1:0}));var Te=this.dropdownPadding,Fe=10;fe&&Vi(this.select).maybeAppend(".dropdown-icon","path").style("d","M-5,-3.5 L0,3.5 L5,-3.5").style("transform","translate(".concat(z+re-Fe-Te[1]-Te[3],", ").concat(ee+ae/2,")")).style("lineWidth",1).style("stroke",this.select.style.stroke);var Ue=(x=this.style.options)===null||x===void 0?void 0:x.find(function(Je){return Je.value===y.currentValue}),je=(0,kt.pi)({x:z+Te[3]},Ae);Vi(this.select).selectAll(".placeholder").data(Ue?[]:[1]).join(function(Je){return Je.append("text").attr("className","placeholder").styles(je).style("y",function(){var tt=this.getBBox();return ee+(ae-tt.height)/2})},function(Je){return Je.styles(je)},function(Je){return Je.remove()});var Ke=zo(this.attributes,"optionLabel"),Ze=(0,kt.pi)({x:z+Te[3]},Ke);Vi(this.select).selectAll(".value").data(Ue?[Ue]:[]).join(function(Je){return Je.append(function(tt){return Ff(tt.label)}).attr("className","value").styles(Ze).style("y",function(){var tt=this.getBBox();return ee+(ae-tt.height)/2})},function(Je){return Je.styles(Ze)},function(Je){return Je.remove()})},a.prototype.renderDropdown=function(){var y=this,x,b,z=this.style,ee=z.x,re=z.y,ae=z.width,se=z.height,fe=z.options,me=z.onSelect,Ae=z.open,Te=zo(this.attributes,"dropdown"),Fe=zo(this.attributes,"option"),Ue=this.dropdownPadding;Vi(this.dropdown).maybeAppend(".dropdown-container","g").attr("className","dropdown-container").selectAll(".dropdown-item").data(fe,function(Ze){return Ze.value}).join(function(Ze){return Ze.append(function(Je){return new DV({className:"dropdown-item",style:(0,kt.pi)((0,kt.pi)((0,kt.pi)({},Je),Fe),{width:ae-Ue[1]-Ue[3],selected:Je.value===y.currentValue,onClick:function(tt,at,st){y.setValue(tt),me==null||me(tt,at,st),y.dispatchEvent(new $l("change",{detail:{value:tt,option:at,item:st}})),kd(y.dropdown)}})})}).each(function(Je,tt){var at,st=(at=this.parentNode)===null||at===void 0?void 0:at.children,ft=st.reduce(function(lt,wt,Bt){return Btz.time?1:0};return y.sort(x)},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"space",{get:function(){var y=this.attributes,x=y.x,b=y.y,z=y.width,ee=y.height,re=y.type,ae=y.controllerHeight,se=bl(+ee-ae,0,+ee),fe=new Hu(x,b+ +ee-ae,+z,ae),me,Ae=0;re==="chart"?(Ae=35,me=new Hu(x,b+se-Ae,+z,Ae)):me=new Hu;var Te=re==="time"?10:se,Fe=new Hu(x,b+(re==="time"?se:se-Te),+z,Te-Ae);return{axisBBox:me,controllerBBox:fe,timelineBBox:Fe}},enumerable:!1,configurable:!0}),a.prototype.setBySliderValues=function(y){var x,b,z=this.data,ee=(0,Rt.CR)(Array.isArray(y)?y:[0,y],2),re=ee[0],ae=ee[1],se=z.length,fe=z[Math.floor(re*se)],me=z[Math.ceil(ae*se)-(Array.isArray(y)?0:1)];this.states.values=[(x=fe==null?void 0:fe.time)!==null&&x!==void 0?x:z[0].time,(b=me==null?void 0:me.time)!==null&&b!==void 0?b:1/0]},a.prototype.setByTimebarValues=function(y){var x,b,z,ee=this.data,re=(0,Rt.CR)(Array.isArray(y)?y:[void 0,y],2),ae=re[0],se=re[1],fe=ee.find(function(Ae){var Te=Ae.time;return Te===ae}),me=ee.find(function(Ae){var Te=Ae.time;return Te===se});this.states.values=[(x=fe==null?void 0:fe.time)!==null&&x!==void 0?x:(b=ee[0])===null||b===void 0?void 0:b.time,(z=me==null?void 0:me.time)!==null&&z!==void 0?z:1/0]},a.prototype.setByIndex=function(y){var x,b,z,ee,re=this.data,ae=(0,Rt.CR)(y,2),se=ae[0],fe=ae[1];this.states.values=[(b=(x=re[se])===null||x===void 0?void 0:x.time)!==null&&b!==void 0?b:re[0].time,(ee=(z=this.data[fe])===null||z===void 0?void 0:z.time)!==null&&ee!==void 0?ee:1/0]},Object.defineProperty(a.prototype,"sliderValues",{get:function(){var y=this.states,x=y.values,b=y.selectionType,z=(0,Rt.CR)(Array.isArray(x)?x:[void 0,x],2),ee=z[0],re=z[1],ae=this.data,se=ae.length,fe=b==="value",me=function(){var Te=ae.findIndex(function(Fe){var Ue=Fe.time;return Ue===ee});return fe?0:Te>-1?Te/se:0},Ae=function(){if(re===1/0)return 1;var Te=ae.findIndex(function(Fe){var Ue=Fe.time;return Ue===re});return Te>-1?Te/se:fe?.5:1};return[me(),Ae()]},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"values",{get:function(){var y=this.states,x=y.values,b=y.selectionType,z=(0,Rt.CR)(Array.isArray(x)?x:[this.data[0].time,x],2),ee=z[0],re=z[1];return b==="value"?re:[ee,re]},enumerable:!1,configurable:!0}),a.prototype.getDatumByRatio=function(y){var x=this.data,b=x.length,z=Math.floor(y*(b-1));return x[z]},Object.defineProperty(a.prototype,"chartHandleIconShape",{get:function(){var y=this.states.selectionType,x=this.space.timelineBBox.height;return y==="range"?function(b){return new GV({style:{type:b,height:x,iconSize:x/6}})}:function(){return new ug({style:{x1:0,y1:-x/2,x2:0,y2:x/2,lineWidth:2,stroke:"#c8c8c8"}})}},enumerable:!1,configurable:!0}),a.prototype.getChartStyle=function(y){var x=this,b=y.x,z=y.y,ee=y.width,re=y.height,ae=this.states,se=ae.selectionType,fe=ae.chartType,me=this.data,Ae=this.attributes,Te=Ae.type,Fe=Ae.labelFormatter,Ue=zo(this.attributes,"chart"),je=Ue.type,Ke=(0,Rt._T)(Ue,["type"]),Ze=se==="range";if(Te==="time")return(0,Rt.pi)({handleIconShape:function(){return new jV({})},selectionFill:"#2e7ff8",selectionFillOpacity:1,showLabelOnInteraction:!0,handleLabelDy:Ze?-15:0,autoFitLabel:Ze,handleSpacing:Ze?-15:0,trackFill:"#edeeef",trackLength:ee,trackOpacity:.5,trackRadius:re/2,trackSize:re/2,type:se,values:this.sliderValues,formatter:function(at){if(Fe)return Fe(at);var st=x.getDatumByRatio(at).time;return typeof st=="number"?qD(st):sc(st,"YYYY-MM-DD HH:mm:ss")},transform:"translate(".concat(b,", ").concat(z,")"),zIndex:1},Ke);var Je=se==="range"?5:0,tt=me.map(function(at){var st=at.value;return st});return(0,Rt.pi)({handleIconOffset:Je,handleIconShape:this.chartHandleIconShape,selectionFill:"#fff",selectionFillOpacity:.5,selectionType:"invert",sparklineSpacing:.1,sparklineColumnLineWidth:0,sparklineColor:"#d4e5fd",sparklineAreaOpacity:1,sparklineAreaLineWidth:0,sparklineData:tt,sparklineType:fe,sparklineScale:.8,trackLength:ee,trackSize:re,type:se,values:this.sliderValues,transform:"translate(".concat(b,", 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a=this.context.canvas.getContainer();a&&[l0.KEY_DOWN,l0.KEY_UP].forEach(y=>{a.removeEventListener(y,this.forwardContainerEvents)}),this.context.canvas.document.removeAllEventListeners(),super.destroy()}}function MH(E,a){a===void 0&&(a=new Map);var y=[];if(Array.isArray(E))for(var x=0,b=E.length;xFe.length!==Ue.length?!1:Fe.every((je,Ke)=>je===Ue[Ke]),Te=(Fe,Ue)=>{const je=Object.keys(Fe),Ke=Object.keys(Ue);return je.length!==Ke.length?!1:je.every(Ze=>Fe[Ze]===Ue[Ze])};return!(!Te(ee,me)||!Ae(z,fe)||!Ae(y,re)||!Te(x,ae)||!Te(b,se))}var DH=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b0}silence(a){this.isTraceless=!0,a(),this.isTraceless=!1}isCombo(a){return this.comboIds.has(a)||this.latestRemovedComboIds.has(a)}getData(){return{nodes:this.getNodeData(),edges:this.getEdgeData(),combos:this.getComboData()}}getNodeData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Su(x);return this.isCombo(_r(b))||(a===void 0||a.includes(_r(b)))&&y.push(b),y},[])}getEdgeDatum(a){return Su(this.model.getEdge(a))}getEdgeData(a){return this.model.getAllEdges().reduce((y,x)=>{const b=Su(x);return(a===void 0||a.includes(_r(b)))&&y.push(b),y},[])}getComboData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Su(x);return this.isCombo(_r(b))&&(a===void 0||a.includes(_r(b)))&&y.push(b),y},[])}getRootsData(a=Fc){return this.model.getRoots(a).map(Su)}getAncestorsData(a,y){const{model:x}=this;return!x.hasNode(a)||!x.hasTreeStructure(y)?[]:x.getAncestors(a,y).map(Su)}getDescendantsData(a){const y=this.getElementDataById(a),x=[];return yg(y,b=>{b!==y&&x.push(b)},b=>this.getChildrenData(_r(b)),"TB"),x}getParentData(a,y){const{model:x}=this;if(!y){Ac.warn("The hierarchy structure key is not specified");return}if(!x.hasNode(a)||!x.hasTreeStructure(y))return;const b=x.getParent(a,y);return b?Su(b):void 0}getChildrenData(a){const y=this.getElementType(a)==="node"?Fc:rl,{model:x}=this;return!x.hasNode(a)||!x.hasTreeStructure(y)?[]:x.getChildren(a,y).map(Su)}getElementsDataByType(a){return a==="node"?this.getNodeData():a==="edge"?this.getEdgeData():a==="combo"?this.getComboData():[]}getElementDataById(a){return this.getElementType(a)==="edge"?this.getEdgeDatum(a):this.getNodeLikeDatum(a)}getNodeLikeDatum(a){const y=this.model.getNode(a);return Su(y)}getNodeLikeData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Su(x);return a?a.includes(_r(b))&&y.push(b):y.push(b),y},[])}getElementDataByState(a,y){return this.getElementsDataByType(a).filter(b=>{var z;return(z=b.states)===null||z===void 0?void 0:z.includes(y)})}getElementState(a){var y;return((y=this.getElementDataById(a))===null||y===void 0?void 0:y.states)||[]}hasNode(a){return this.model.hasNode(a)&&!this.isCombo(a)}hasEdge(a){return this.model.hasEdge(a)}hasCombo(a){return this.model.hasNode(a)&&this.isCombo(a)}getRelatedEdgesData(a,y="both"){return this.model.getRelatedEdges(a,y).map(Su)}getNeighborNodesData(a){return this.model.getNeighbors(a).map(Su)}setData(a){const{nodes:y=[],edges:x=[],combos:b=[]}=a,{nodes:z,edges:ee,combos:re}=this.getData(),ae=ch(z,y,me=>_r(me),L0),se=ch(ee,x,me=>_r(me),L0),fe=ch(re,b,me=>_r(me),L0);this.batch(()=>{const me={nodes:ae.enter,edges:se.enter,combos:fe.enter};this.addData(me),this.computeZIndex(me,"add",!0);const Ae={nodes:ae.update,edges:se.update,combos:fe.update};this.updateData(Ae),this.computeZIndex(Ae,"update",!0);const Te={nodes:ae.exit.map(_r),edges:se.exit.map(_r),combos:fe.exit.map(_r)};this.removeData(Te)})}addData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.addComboData(b),this.addNodeData(y),this.addEdgeData(x)}),this.computeZIndex(a,"add")}addNodeData(a=[]){a.length&&(this.model.addNodes(a.map(y=>(this.pushChange({value:y,type:gl.NodeAdded}),xS(y)))),this.updateNodeLikeHierarchy(a),this.computeZIndex({nodes:a},"add"))}addEdgeData(a=[]){a.length&&(this.model.addEdges(a.map(y=>(this.pushChange({value:y,type:gl.EdgeAdded}),xS(y)))),this.computeZIndex({edges:a},"add"))}addComboData(a=[]){if(!a.length)return;const{model:y}=this;y.hasTreeStructure(rl)||y.attachTreeStructure(rl),y.addNodes(a.map(x=>(this.comboIds.add(_r(x)),this.pushChange({value:x,type:gl.ComboAdded}),xS(x)))),this.updateNodeLikeHierarchy(a),this.computeZIndex({combos:a},"add")}addChildrenData(a,y){const x=this.getNodeLikeDatum(a),b=y.map(_r);this.addNodeData(y),this.updateNodeData([{id:a,children:[...x.children||[],...b]}]),this.addEdgeData(b.map(z=>({source:a,target:z})))}computeZIndex(a,y,x=!1){!x&&this.isBatching()||this.batch(()=>{const{nodes:b=[],edges:z=[],combos:ee=[]}=a;ee.forEach(re=>{var ae,se,fe;const me=_r(re);if(y==="add"&&Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re))return;const Ae=this.getParentData(me,rl),Te=Ae?((fe=(se=Ae.style)===null||se===void 0?void 0:se.zIndex)!==null&&fe!==void 0?fe:0)+1:0;this.preventUpdateNodeLikeHierarchy(()=>{this.updateComboData([{id:me,style:{zIndex:Te}}])})}),b.forEach(re=>{var ae,se,fe;const me=_r(re);if(y==="add"&&Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re)&&!("children"in re))return;let Ae=0;const Te=this.getParentData(me,rl);if(Te)Ae=(((se=Te.style)===null||se===void 0?void 0:se.zIndex)||0)+1;else{const Fe=this.getParentData(me,Fc);Fe&&(Ae=((fe=Fe==null?void 0:Fe.style)===null||fe===void 0?void 0:fe.zIndex)||0)}this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:me,style:{zIndex:Ae}}])})}),z.forEach(re=>{var ae,se,fe,me,Ae;if(Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex))return;let{id:Te,source:Fe,target:Ue}=re;if(!Te)Te=_r(re);else{const Ze=this.getEdgeDatum(Te);Fe=Ze.source,Ue=Ze.target}if(!Fe||!Ue)return;const je=((fe=(se=this.getNodeLikeDatum(Fe))===null||se===void 0?void 0:se.style)===null||fe===void 0?void 0:fe.zIndex)||0,Ke=((Ae=(me=this.getNodeLikeDatum(Ue))===null||me===void 0?void 0:me.style)===null||Ae===void 0?void 0:Ae.zIndex)||0;this.updateEdgeData([{id:_r(re),style:{zIndex:Math.max(je,Ke)-1}}])})})}getFrontZIndex(a){var y;const x=this.getElementType(a),b=this.getElementDataById(a),z=this.getData();if(Object.assign(z,{[`${x}s`]:z[`${x}s`].filter(ee=>_r(ee)!==a)}),x==="combo"&&!xc(b)){const ee=new Set(this.getAncestorsData(a,rl).map(_r));z.nodes=z.nodes.filter(re=>!ee.has(_r(re))),z.combos=z.combos.filter(re=>!ee.has(_r(re))),z.edges=z.edges.filter(({source:re,target:ae})=>!ee.has(re)&&!ee.has(ae))}return Math.max(((y=b.style)===null||y===void 0?void 0:y.zIndex)||0,0,...Object.values(z).flat().map(ee=>{var re;return(((re=ee==null?void 0:ee.style)===null||re===void 0?void 0:re.zIndex)||0)+1}))}updateNodeLikeHierarchy(a){if(!this.enableUpdateNodeLikeHierarchy)return;const{model:y}=this;a.forEach(x=>{const b=_r(x),z=xp(x);z!==void 0&&(y.hasTreeStructure(rl)||y.attachTreeStructure(rl),z===null&&this.refreshComboData(b),this.setParent(b,xp(x),rl));const ee=x.children||[];if(ee.length){y.hasTreeStructure(Fc)||y.attachTreeStructure(Fc);const re=ee.filter(ae=>y.hasNode(ae));re.forEach(ae=>this.setParent(ae,b,Fc)),re.length!==ee.length&&this.updateNodeData([{id:b,children:re}])}})}preventUpdateNodeLikeHierarchy(a){this.enableUpdateNodeLikeHierarchy=!1,a(),this.enableUpdateNodeLikeHierarchy=!0}updateData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.updateNodeData(y),this.updateComboData(b),this.updateEdgeData(x)}),this.computeZIndex(a,"update")}updateNodeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{const x=[];a.forEach(b=>{const z=_r(b),ee=Su(y.getNode(z));if(L0(ee,b))return;const re=wh(ee,b);this.pushChange({value:re,original:ee,type:gl.NodeUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({nodes:a},"update")}refreshData(){const{nodes:a,edges:y,combos:x}=this.getData();a.forEach(b=>{this.pushChange({value:b,original:b,type:gl.NodeUpdated})}),y.forEach(b=>{this.pushChange({value:b,original:b,type:gl.EdgeUpdated})}),x.forEach(b=>{this.pushChange({value:b,original:b,type:gl.ComboUpdated})})}syncNodeLikeDatum(a){const{model:y}=this,x=_r(a);if(!y.hasNode(x))return;const b=Su(y.getNode(x)),z=wh(b,a);y.mergeNodeData(x,z)}syncEdgeDatum(a){const{model:y}=this,x=_r(a);if(!y.hasEdge(x))return;const b=Su(y.getEdge(x)),z=wh(b,a);y.mergeEdgeData(x,z)}updateEdgeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{a.forEach(x=>{const b=_r(x),z=Su(y.getEdge(b));if(L0(z,x))return;x.source&&z.source!==x.source&&y.updateEdgeSource(b,x.source),x.target&&z.target!==x.target&&y.updateEdgeTarget(b,x.target);const ee=wh(z,x);this.pushChange({value:ee,original:z,type:gl.EdgeUpdated}),y.mergeEdgeData(b,ee)})}),this.computeZIndex({edges:a},"update")}updateComboData(a=[]){if(!a.length)return;const{model:y}=this;y.batch(()=>{const x=[];a.forEach(b=>{const z=_r(b),ee=Su(y.getNode(z));if(L0(ee,b))return;const re=wh(ee,b);this.pushChange({value:re,original:ee,type:gl.ComboUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({combos:a},"update")}setParent(a,y,x,b=!0){if(a===y)return;const z=this.getNodeLikeDatum(a),ee=xp(z);if(ee!==y&&x===rl){const re={id:a,combo:y};this.isCombo(a)?this.syncNodeLikeDatum(re):this.syncNodeLikeDatum(re)}this.model.setParent(a,y,x),b&&x===rl&&MH([ee,y]).forEach(re=>{re!==void 0&&this.refreshComboData(re)})}refreshComboData(a){const y=this.getComboData([a])[0],x=this.getAncestorsData(a,rl);y&&this.pushChange({value:y,original:y,type:gl.ComboUpdated}),x.forEach(b=>{this.pushChange({value:b,original:b,type:gl.ComboUpdated})})}getElementPosition(a){const y=this.getElementDataById(a);return uu(y)}translateNodeLikeBy(a,y){this.isCombo(a)?this.translateComboBy(a,y):this.translateNodeBy(a,y)}translateNodeLikeTo(a,y){this.isCombo(a)?this.translateComboTo(a,y):this.translateNodeTo(a,y)}translateNodeBy(a,y){const x=this.getElementPosition(a),b=ko(x,[...y,0].slice(0,3));this.translateNodeTo(a,b)}translateNodeTo(a,y){const[x=0,b=0,z=0]=y;this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:a,style:{x,y:b,z}}])})}translateComboBy(a,y){const[x=0,b=0,z=0]=y;if([x,b,z].some(isNaN)||[x,b,z].every(ae=>ae===0))return;const ee=this.getComboData([a])[0];if(!ee)return;const re=new Set;yg(ee,ae=>{const se=_r(ae);if(re.has(se))return;re.add(se);const[fe,me,Ae]=uu(ae),Te=wh(ae,{style:{x:fe+x,y:me+b,z:Ae+z}});this.pushChange({value:Te,original:ae,type:this.isCombo(se)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(se,Te)},ae=>this.getChildrenData(_r(ae)),"BT")}translateComboTo(a,y){var x;if(y.some(isNaN))return;const[b=0,z=0,ee=0]=y,re=(x=this.getComboData([a]))===null||x===void 0?void 0:x[0];if(!re)return;const[ae,se,fe]=uu(re),me=b-ae,Ae=z-se,Te=ee-fe;yg(re,Fe=>{const Ue=_r(Fe),[je,Ke,Ze]=uu(Fe),Je=wh(Fe,{style:{x:je+me,y:Ke+Ae,z:Ze+Te}});this.pushChange({value:Je,original:Fe,type:this.isCombo(Ue)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(Ue,Je)},Fe=>this.getChildrenData(_r(Fe)),"BT")}removeData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.removeEdgeData(x),this.removeNodeData(y),this.removeComboData(b),this.latestRemovedComboIds=new Set(b)})}removeNodeData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.removeEdgeData(this.getRelatedEdgesData(y).map(_r)),this.pushChange({value:this.getNodeData([y])[0],type:gl.NodeRemoved}),this.removeNodeLikeHierarchy(y)}),this.model.removeNodes(a)})}removeEdgeData(a=[]){a.length&&(a.forEach(y=>this.pushChange({value:this.getEdgeData([y])[0],type:gl.EdgeRemoved})),this.model.removeEdges(a))}removeComboData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.pushChange({value:this.getComboData([y])[0],type:gl.ComboRemoved}),this.removeNodeLikeHierarchy(y),this.comboIds.delete(y)}),this.model.removeNodes(a)})}removeNodeLikeHierarchy(a){if(this.model.hasTreeStructure(rl)){const y=xp(this.getNodeLikeDatum(a));this.setParent(a,void 0,rl,!1),this.model.getChildren(a,rl).forEach(x=>{const b=Su(x),z=_r(b);this.setParent(_r(b),y,rl,!1);const ee=wh(b,{id:_r(b),combo:y});this.pushChange({value:ee,original:b,type:this.isCombo(z)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(_r(b),ee)}),fo(y)||this.refreshComboData(y)}}getElementType(a){if(this.model.hasNode(a))return this.isCombo(a)?"combo":"node";if(this.model.hasEdge(a))return"edge";throw new Error(Lf(`Unknown element type of id: ${a}`))}destroy(){const{model:a}=this,y=a.getAllNodes(),x=a.getAllEdges();a.removeEdges(x.map(b=>b.id)),a.removeNodes(y.map(b=>b.id)),this.context={}}}var Yv=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class OH{constructor(a){this.elementMap={},this.shapeTypeMap={},this.paletteStyle={},this.defaultStyle={},this.stateStyle={},this.visibilityCache=new 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Object.assign(E,{[x3]:!0})}function tee(E,a=globalThis,y="*"){return{postMessage:(x,b)=>E.postMessage(x,y,b),addEventListener:a.addEventListener.bind(a),removeEventListener:a.removeEventListener.bind(a)}}function S1(E){for(const[a,y]of C3)if(y.canHandle(E)){const[x,b]=y.serialize(E);return[{type:"HANDLER",name:a,value:x},b]}return[{type:"RAW",value:E},L3.get(E)||[]]}function Bg(E){switch(E.type){case"HANDLER":return C3.get(E.name).deserialize(E.value);case"RAW":return E.value}}function O0(E,a,y,x){return new Promise(b=>{const z=jH();a.set(z,b),E.start&&E.start(),E.postMessage(Object.assign({id:z},y),x)})}function jH(){return new Array(4).fill(0).map(()=>Math.floor(Math.random()*Number.MAX_SAFE_INTEGER).toString(16)).join("-")}class GH extends iy{constructor(a,y,x){super(),this.graph=a,this.layout=y,this.options=x,this.spawnWorker()}spawnWorker(){this.proxy=M3(new Worker(new URL(Oe.p+Oe.u(3611),Oe.b),{type:void 0})),this.running&&(this.running=!1,this.execute())}execute(){var 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E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{const me=_r(fe),Ae=ae.nodes.get(me);re.syncNodeLikeDatum(fe),Ae&&Object.assign(Ae.style,fe.style)}),(b=se==null?void 0:se.edges)===null||b===void 0||b.forEach(fe=>{const me=_r(fe),Ae=ae.edges.get(me);re.syncEdgeDatum(fe),Ae&&Object.assign(Ae.style,fe.style)}),(z=se==null?void 0:se.combos)===null||z===void 0||z.forEach(fe=>{const me=_r(fe),Ae=ae.combos.get(me);re.syncNodeLikeDatum(fe),Ae&&Object.assign(Ae.style,fe.style)}),du(ee,new nu(ci.AFTER_LAYOUT,{type:"pre"})),this.transformDataAfterLayout("pre",a)})}postLayout(){return T0(this,arguments,void 0,function*(a=this.options){if(!a)return;const y=Array.isArray(a)?a:[a],{graph:x}=this.context;du(x,new nu(ci.BEFORE_LAYOUT,{type:"post"}));for(let b=0;bb.afterLayout(a,y))}simulate(){return T0(this,void 0,void 0,function*(){if(!this.options)return{};const a=Array.isArray(this.options)?this.options:[this.options];let y={};for(let x=0;x{this.updateElementPosition(se,!1)}}):(re.execute(a),re.stop(),re.tick(ee));const ae=yield re.execute(a);if(b){const se=this.updateElementPosition(ae,b);yield se==null?void 0:se.finished}return ae})}treeLayout(a,y,x){return T0(this,void 0,void 0,function*(){const{type:b,animation:z}=y,ee=If("layout",b);if(!ee)return{};const{nodes:re=[],edges:ae=[]}=a,se=new Zl({nodes:re.map(Fe=>({id:_r(Fe),data:Fe.data||{}})),edges:ae.map(Fe=>({id:_r(Fe),source:Fe.source,target:Fe.target,data:Fe.data||{}}))});IH(se);const fe={nodes:[],edges:[]},me={nodes:[],edges:[]};se.getRoots(Fc).forEach(Fe=>{yg(Fe,Je=>{Je.children=se.getSuccessors(Je.id)},Je=>se.getSuccessors(Je.id),"TB");const Ue=ee(Fe,y),{x:je,y:Ke,z:Ze=0}=Ue;yg(Ue,Je=>{const{id:tt,x:at,y:st,z:ft=0}=Je;fe.nodes.push({id:tt,style:{x:je,y:Ke,z:Ze}}),me.nodes.push({id:tt,style:{x:at,y:st,z:ft}})},Je=>Je.children,"TB")});const Te=this.inferTreeLayoutOffset(me);if(O3(me,Te),z){O3(fe,Te),this.updateElementPosition(fe,!1);const Fe=this.updateElementPosition(me,z);yield Fe==null?void 0:Fe.finished}return me})}inferTreeLayoutOffset(a){var y;let[x,b]=[1/0,-1/0],[z,ee]=[1/0,-1/0];(y=a.nodes)===null||y===void 0||y.forEach(Ue=>{const{x:je=0,y:Ke=0}=Ue.style||{};x=Math.min(x,je),b=Math.max(b,je),z=Math.min(z,Ke),ee=Math.max(ee,Ke)});const{canvas:re}=this.context,ae=re.getSize(),[se,fe]=re.getCanvasByViewport([0,0]),[me,Ae]=re.getCanvasByViewport(ae);if(x>=se&&b<=me&&z>=fe&&ee<=Ae)return[0,0];const Te=(se+me)/2,Fe=(fe+Ae)/2;return[Te-(x+b)/2,Fe-(z+ee)/2]}stopLayout(){this.instance&&yx(this.instance)&&(this.instance.stop(),this.instance=void 0),this.supervisor&&(this.supervisor.stop(),this.supervisor=void 0),this.animationResult&&(this.animationResult.finish(),this.animationResult=void 0)}getLayoutData(a){const{nodeFilter:y=()=>!0,preLayout:x=!1,isLayoutInvisibleNodes:b=!1}=a,{nodes:z,edges:ee,combos:re}=this.context.model.getData(),{element:ae,model:se}=this.context,fe=Ue=>ae.getElement(Ue),me=x?Ue=>{var je;return!b&&(((je=Ue.style)===null||je===void 0?void 0:je.visibility)==="hidden"||se.getAncestorsData(Ue.id,Fc).some(xc)||se.getAncestorsData(Ue.id,rl).some(xc))?!1:y(Ue)}:Ue=>{const je=_r(Ue),Ke=fe(je);return!Ke||qp(Ke)?!1:y(Ue)},Ae=z.filter(me),Te=new Map(Ae.map(Ue=>[_r(Ue),Ue]));re.forEach(Ue=>Te.set(_r(Ue),Ue));const Fe=ee.filter(({source:Ue,target:je})=>Te.has(Ue)&&Te.has(je));return{nodes:Ae,edges:Fe,combos:re}}initGraphLayout(a){var y;const{element:x,viewport:b}=this.context,{type:z,enableWorker:ee,animation:re,iterations:ae}=a,se=VH(a,["type","enableWorker","animation","iterations"]),[fe,me]=b.getCanvasSize(),Ae=[fe/2,me/2],Te=(y=a==null?void 0:a.nodeSize)!==null&&y!==void 0?y:Ze=>{const Je=x==null?void 0:x.getElement(Ze.id);return Je?Je.attributes.size:x==null?void 0:x.getElementComputedStyle("node",Ze).size},Fe=If("layout",z);if(!Fe)return Ac.warn(`The layout of ${z} is not registered.`);const Ue=Object.getPrototypeOf(Fe.prototype)===sy.prototype?Fe:vk(Fe,this.context),je=new Ue(this.context),Ke={nodeSize:Te,width:fe,height:me,center:Ae};switch(je.id){case"d3-force":case"d3-force-3d":Object.assign(Ke,{center:{x:fe/2,y:me/2,z:0}});break;default:break}return nc(je.options,Ke,se),je}updateElementPosition(a,y){const{model:x,element:b}=this.context;return b?(x.updateData(a),b.draw({animation:y,silence:!0})):null}destroy(){var a;this.stopLayout(),this.context={},(a=this.supervisor)===null||a===void 0||a.kill(),this.supervisor=void 0,this.instance=void 0,this.instances=[],this.animationResult=void 0}}const O3=(E,a)=>{var y;const[x,b]=a;(y=E.nodes)===null||y===void 0||y.forEach(z=>{if(z.style){const{x:ee=0,y:re=0}=z.style;z.style.x=ee+x,z.style.y=re+b}else z.style={x,y:b}})};function KH(E){return[ZH].reduce((y,x)=>x(y),E)}function ZH(E){return!E.layout||Array.isArray(E.layout)||"preLayout"in E.layout||["antv-dagre","combo-combined","compact-box","circular","concentric","dagre","fishbone","grid","indented","mds","radial","random","snake","dendrogram","mindmap"].includes(E.layout.type)&&(E.layout.preLayout=!0),E}class QH extends bA{constructor(a){super(a),this.category="plugin",this.setPlugins(this.context.options.plugins||[])}setPlugins(a){this.setExtensions(a)}getPluginInstance(a){const y=this.extensionMap[a];if(y)return y;Ac.warn(`Cannot find the plugin ${a}, will try to find it by type.`);const x=this.extensions.find(b=>b.type===a);if(x)return this.extensionMap[x.key]}}const b1=["update-related-edges","collapse-expand-node","collapse-expand-combo","get-edge-actual-ends","arrange-draw-order"];class YH extends bA{constructor(a){super(a),this.category="transform",this.setTransforms(this.context.options.transforms||[])}getTransforms(){}setTransforms(a){this.setExtensions([...b1.slice(0,b1.length-1),...a,b1[b1.length-1]])}getTransformInstance(a){return a?this.extensionMap[a]:this.extensionMap}}var Xv=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class XH{get padding(){return Ld(this.context.options.padding)}get paddingOffset(){const[a,y,x,b]=this.padding,[z,ee,re]=[(b-y)/2,(a-x)/2,0];return[z,ee,re]}constructor(a){this.landmarkCounter=0,this.context=a;const[y,x]=this.paddingOffset,{zoom:b,rotation:z,x:ee=y,y:re=x}=a.options;this.transform({mode:"absolute",scale:b,translate:[ee,re],rotate:z},!1)}get camera(){const{canvas:a}=this.context;return new Proxy(a.getCamera(),{get:(y,x)=>{const z=Object.entries(a.getLayers()).filter(([re])=>!["main"].includes(re)).map(([,re])=>re.getCamera()),ee=y[x];if(typeof ee=="function")return(...re)=>{const ae=ee.apply(y,re);return z.forEach(se=>{se[x].apply(se,re)}),ae}}})}createLandmark(a){return this.camera.createLandmark(`landmark-${this.landmarkCounter++}`,a)}getAnimation(a){const y=JP(this.context.options,a);return y?xg(Object.assign({},y),["easing","duration"]):!1}getCanvasSize(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y,x]}getCanvasCenter(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y/2,x/2,0]}getViewportCenter(){const[a,y]=this.camera.getPosition();return[a,y,0]}getGraphCenter(){return this.context.graph.getViewportByCanvas(this.getCanvasCenter())}getZoom(){return this.camera.getZoom()}getRotation(){return this.camera.getRoll()}getTranslateOptions(a){const{camera:y}=this,{mode:x,translate:b=[]}=a,z=this.getZoom(),ee=y.getPosition(),re=y.getFocalPoint(),[ae,se]=this.getCanvasCenter(),[fe=0,me=0,Ae=0]=b,Te=Nd([-fe,-me,-Ae],z);return x==="relative"?{position:ko(ee,Te),focalPoint:ko(re,Te)}:{position:ko([ae,se,ee[2]],Te),focalPoint:ko([ae,se,re[2]],Te)}}getRotateOptions(a){const{mode:y,rotate:x=0}=a;return{roll:y==="relative"?this.camera.getRoll()+x:x}}getZoomOptions(a){const{zoomRange:y}=this.context.options,x=this.camera.getZoom(),{mode:b,scale:z=1}=a;return bl(b==="relative"?x*z:z,...y)}transform(a,y){return Xv(this,void 0,void 0,function*(){const{graph:x}=this.context,{translate:b,rotate:z,scale:ee,origin:re}=a;this.cancelAnimation();const ae=this.getAnimation(y);if(du(x,new m1(ci.BEFORE_TRANSFORM,a)),!z&&ee&&!b&&re&&!ae){this.camera.setZoomByViewportPoint(this.getZoomOptions(a),re),du(x,new m1(ci.AFTER_TRANSFORM,a));return}const se={};if(b&&Object.assign(se,this.getTranslateOptions(a)),Oi(z)&&Object.assign(se,this.getRotateOptions(a)),Oi(ee)&&Object.assign(se,{zoom:this.getZoomOptions(a)}),ae)return du(x,new hd(ci.BEFORE_ANIMATE,Ec.TRANSFORM,null,a)),new Promise(fe=>{this.transformResolver=fe,this.camera.gotoLandmark(this.createLandmark(se),Object.assign(Object.assign({},ae),{onfinish:()=>{du(x,new hd(ci.AFTER_ANIMATE,Ec.TRANSFORM,null,a)),du(x,new m1(ci.AFTER_TRANSFORM,a)),this.transformResolver=void 0,fe()}}))});this.camera.gotoLandmark(this.createLandmark(se),{duration:0}),du(x,new m1(ci.AFTER_TRANSFORM,a))})}fitView(a,y){return Xv(this,void 0,void 0,function*(){const[x,b,z,ee]=this.padding,{when:re="always",direction:ae="both"}=a||{},[se,fe]=this.context.canvas.getSize(),me=se-ee-b,Ae=fe-x-z,Te=this.context.canvas.getBounds(),Fe=this.getBBoxInViewport(Te),[Ue,je]=sh(Fe),Ke=ae==="x"&&Ue>=me||ae==="y"&&je>=Ae||ae==="both"&&Ue>=me&&je>=Ae;if(re==="overflow"&&!Ke)return yield this.fitCenter({animation:y});const Ze=me/Ue,Je=Ae/je,tt=ae==="x"?Ze:ae==="y"?Je:Math.min(Ze,Je),at=this.getAnimation(y);yield this.transform({mode:"relative",scale:tt,translate:ko(qs(this.getCanvasCenter(),this.getBBoxInViewport(Te).center),Nd(this.paddingOffset,tt))},at)})}fitCenter(a){return Xv(this,void 0,void 0,function*(){const y=this.context.canvas.getBounds();yield this.focus(y,a)})}focusElements(a){return Xv(this,arguments,void 0,function*(y,x={}){const{element:b}=this.context;if(!b)return;const z=re=>x.shapes?re.getShape(x.shapes).getRenderBounds():re.getRenderBounds(),ee=dv(y.map(re=>z(b.getElement(re))));yield this.focus(ee,x)})}focus(a,y){return Xv(this,void 0,void 0,function*(){const x=this.context.graph.getViewportByCanvas(a.center),b=y.position||this.getCanvasCenter(),z=qs(b,x);yield this.transform({mode:"relative",translate:ko(z,this.paddingOffset)},y.animation)})}getBBoxInViewport(a){const{min:y,max:x}=a,{graph:b}=this.context,[z,ee]=b.getViewportByCanvas(y),[re,ae]=b.getViewportByCanvas(x),se=new il;return se.setMinMax([z,ee,0],[re,ae,0]),se}isInViewport(a,y=!1,x=0){const{graph:b}=this.context,z=this.getCanvasSize(),[ee,re]=b.getCanvasByViewport([0,0]),[ae,se]=b.getCanvasByViewport(z);let fe=new il;return fe.setMinMax([ee,re,0],[ae,se,0]),x&&(fe=uh(fe,x)),c0(a)?Od(a,fe):y?RR(a,fe):fe.intersects(a)}cancelAnimation(){var a,y;!((a=this.camera.landmarks)===null||a===void 0)&&a.length&&this.camera.cancelLandmarkAnimation(),(y=this.transformResolver)===null||y===void 0||y.call(this)}}var sl=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class B0 extends iy{constructor(a){var y;super(),this.options={},this.rendered=!1,this.destroyed=!1,this.context={model:new LH},this.isCollapsingExpanding=!1,this.onResize=wv(()=>{this.resize()},300),this._setOptions(Object.assign({},B0.defaultOptions,a),!0),this.context.graph=this,this.options.autoResize&&((y=globalThis.addEventListener)===null||y===void 0||y.call(globalThis,"resize",this.onResize))}getOptions(){return this.options}setOptions(a){this._setOptions(a,!1)}_setOptions(a,y){if(this.updateCanvas(a),Object.assign(this.options,KH(a)),y){const{data:Ae}=a;Ae&&this.addData(Ae);return}const{behaviors:x,combo:b,data:z,edge:ee,layout:re,node:ae,plugins:se,theme:fe,transforms:me}=a;x&&this.setBehaviors(x),z&&this.setData(z),ae&&this.setNode(ae),ee&&this.setEdge(ee),b&&this.setCombo(b),re&&this.setLayout(re),fe&&this.setTheme(fe),se&&this.setPlugins(se),me&&this.setTransforms(me)}getSize(){return this.context.canvas?this.context.canvas.getSize():[this.options.width||0,this.options.height||0]}setSize(a,y){a&&(this.options.width=a),y&&(this.options.height=y),this.resize(a,y)}setZoomRange(a){this.options.zoomRange=a}getZoomRange(){return this.options.zoomRange}setNode(a){this.options.node=a,this.context.model.refreshData()}setEdge(a){this.options.edge=a,this.context.model.refreshData()}setCombo(a){this.options.combo=a,this.context.model.refreshData()}getTheme(){return this.options.theme}setTheme(a){this.options.theme=Gi(a)?a(this.getTheme()):a}setLayout(a){this.options.layout=Gi(a)?a(this.getLayout()):a}getLayout(){return this.options.layout}setBehaviors(a){var y;this.options.behaviors=Gi(a)?a(this.getBehaviors()):a,(y=this.context.behavior)===null||y===void 0||y.setBehaviors(this.options.behaviors)}updateBehavior(a){this.setBehaviors(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getBehaviors(){return this.options.behaviors||[]}setPlugins(a){var y;this.options.plugins=Gi(a)?a(this.getPlugins()):a,(y=this.context.plugin)===null||y===void 0||y.setPlugins(this.options.plugins)}updatePlugin(a){this.setPlugins(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getPlugins(){return this.options.plugins||[]}getPluginInstance(a){return this.context.plugin.getPluginInstance(a)}setTransforms(a){var y;this.options.transforms=Gi(a)?a(this.getTransforms()):a,(y=this.context.transform)===null||y===void 0||y.setTransforms(this.options.transforms)}updateTransform(a){this.setTransforms(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x)),this.context.model.refreshData()}getTransforms(){return this.options.transforms||[]}getData(){return this.context.model.getData()}getElementData(a){return Array.isArray(a)?a.map(y=>this.context.model.getElementDataById(y)):this.context.model.getElementDataById(a)}getNodeData(a){return a===void 0?this.context.model.getNodeData():Array.isArray(a)?this.context.model.getNodeData(a):this.context.model.getNodeLikeDatum(a)}getEdgeData(a){return a===void 0?this.context.model.getEdgeData():Array.isArray(a)?this.context.model.getEdgeData(a):this.context.model.getEdgeDatum(a)}getComboData(a){return a===void 0?this.context.model.getComboData():Array.isArray(a)?this.context.model.getComboData(a):this.context.model.getNodeLikeDatum(a)}setData(a){this.context.model.setData(Gi(a)?a(this.getData()):a)}addData(a){this.context.model.addData(Gi(a)?a(this.getData()):a)}addNodeData(a){this.context.model.addNodeData(Gi(a)?a(this.getNodeData()):a)}addEdgeData(a){this.context.model.addEdgeData(Gi(a)?a(this.getEdgeData()):a)}addComboData(a){this.context.model.addComboData(Gi(a)?a(this.getComboData()):a)}addChildrenData(a,y){this.context.model.addChildrenData(a,y)}updateData(a){this.context.model.updateData(Gi(a)?a(this.getData()):a)}updateNodeData(a){this.context.model.updateNodeData(Gi(a)?a(this.getNodeData()):a)}updateEdgeData(a){this.context.model.updateEdgeData(Gi(a)?a(this.getEdgeData()):a)}updateComboData(a){this.context.model.updateComboData(Gi(a)?a(this.getComboData()):a)}removeData(a){this.context.model.removeData(Gi(a)?a(this.getData()):a)}removeNodeData(a){this.context.model.removeNodeData(Gi(a)?a(this.getNodeData()):a)}removeEdgeData(a){this.context.model.removeEdgeData(Gi(a)?a(this.getEdgeData()):a)}removeComboData(a){this.context.model.removeComboData(Gi(a)?a(this.getComboData()):a)}getElementType(a){return this.context.model.getElementType(a)}getRelatedEdgesData(a,y="both"){return this.context.model.getRelatedEdgesData(a,y)}getNeighborNodesData(a){return this.context.model.getNeighborNodesData(a)}getAncestorsData(a,y){return this.context.model.getAncestorsData(a,y)}getParentData(a,y){return this.context.model.getParentData(a,y)}getChildrenData(a){return this.context.model.getChildrenData(a)}getDescendantsData(a){return this.context.model.getDescendantsData(a)}getElementDataByState(a,y){return this.context.model.getElementDataByState(a,y)}initCanvas(){return sl(this,void 0,void 0,function*(){var a;if(this.context.canvas)return yield this.context.canvas.ready;const{container:y="container",width:x,height:b,renderer:z,cursor:ee,background:re,canvas:ae,devicePixelRatio:se=(a=globalThis.devicePixelRatio)!==null&&a!==void 0?a:1}=this.options;if(y instanceof v3)this.context.canvas=y,ee&&y.setCursor(ee),z&&y.setRenderer(z),yield y.ready;else{const fe=Ls(y)?document.getElementById(y):y,me=y3(fe);this.emit(ci.BEFORE_CANVAS_INIT,{container:fe,width:x,height:b});const Ae=Object.assign(Object.assign({},ae),{container:fe,width:x||me[0],height:b||me[1],background:re,renderer:z,cursor:ee,devicePixelRatio:se}),Te=new v3(Ae);this.context.canvas=Te,yield Te.ready,this.emit(ci.AFTER_CANVAS_INIT,{canvas:Te})}})}updateCanvas(a){var y,x;const{renderer:b,cursor:z,height:ee,width:re}=a,ae=this.context.canvas;ae&&(b&&(this.emit(ci.BEFORE_RENDERER_CHANGE,{renderer:this.options.renderer}),ae.setRenderer(b),this.emit(ci.AFTER_RENDERER_CHANGE,{renderer:b})),z&&ae.setCursor(z),(Oi(re)||Oi(ee))&&this.setSize((y=re!=null?re:this.options.width)!==null&&y!==void 0?y:0,(x=ee!=null?ee:this.options.height)!==null&&x!==void 0?x:0))}initRuntime(){this.context.options=this.options,this.context.batch||(this.context.batch=new PH(this.context)),this.context.plugin||(this.context.plugin=new QH(this.context)),this.context.viewport||(this.context.viewport=new XH(this.context)),this.context.transform||(this.context.transform=new YH(this.context)),this.context.element||(this.context.element=new OH(this.context)),this.context.animation||(this.context.animation=new CH(this.context)),this.context.layout||(this.context.layout=new HH(this.context)),this.context.behavior||(this.context.behavior=new wH(this.context))}prepare(){return sl(this,void 0,void 0,function*(){if(yield Promise.resolve(),this.destroyed)throw new Error(Lf("The graph instance has been destroyed"));yield this.initCanvas(),this.initRuntime()})}render(){return sl(this,void 0,void 0,function*(){if(yield this.prepare(),du(this,new nu(ci.BEFORE_RENDER)),this.options.layout)if(!this.rendered&&gk(this.options.layout)){const a=yield this.context.element.preLayoutDraw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.context.layout.postLayout()]),yield this.autoFit()}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}this.rendered=!0,du(this,new nu(ci.AFTER_RENDER))})}draw(){return sl(this,void 0,void 0,function*(){var a;yield this.prepare(),yield(a=this.context.element.draw())===null||a===void 0?void 0:a.finished})}layout(a){return sl(this,void 0,void 0,function*(){yield this.context.layout.postLayout(a)})}stopLayout(){this.context.layout.stopLayout()}clear(){return sl(this,void 0,void 0,function*(){const{model:a,element:y}=this.context;a.setData({}),a.clearChanges(),y==null||y.clear()})}destroy(){var a;du(this,new nu(ci.BEFORE_DESTROY));const{layout:y,animation:x,element:b,model:z,canvas:ee,behavior:re,plugin:ae}=this.context;ae==null||ae.destroy(),re==null||re.destroy(),y==null||y.destroy(),x==null||x.destroy(),b==null||b.destroy(),z.destroy(),ee==null||ee.destroy(),this.options={},this.context={},this.off(),(a=globalThis.removeEventListener)===null||a===void 0||a.call(globalThis,"resize",this.onResize),this.destroyed=!0,du(this,new nu(ci.AFTER_DESTROY))}getCanvas(){return this.context.canvas}resize(a,y){var x;const b=y3((x=this.context.canvas)===null||x===void 0?void 0:x.getContainer()),z=[a||b[0],y||b[1]];if(!this.context.canvas)return;const ee=this.context.canvas.getSize();Vl(z,ee)||(du(this,new nu(ci.BEFORE_SIZE_CHANGE,{size:z})),this.context.canvas.resize(...z),du(this,new nu(ci.AFTER_SIZE_CHANGE,{size:z})))}fitView(a,y){return sl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.fitView(a,y)})}fitCenter(a){return sl(this,void 0,void 0,function*(){var y;yield(y=this.context.viewport)===null||y===void 0?void 0:y.fitCenter({animation:a})})}autoFit(){return sl(this,void 0,void 0,function*(){const{autoFit:a}=this.context.options;if(a)if(Ls(a))a==="view"?yield this.fitView():a==="center"&&(yield this.fitCenter());else{const{type:y,animation:x}=a;y==="view"?yield this.fitView(a.options,x):y==="center"&&(yield this.fitCenter(x))}})}focusElement(a,y){return sl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.focusElements(Array.isArray(a)?a:[a],{animation:y})})}zoomBy(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",scale:a,origin:x},y)})}zoomTo(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",scale:a,origin:x},y)})}getZoom(){return this.context.viewport.getZoom()}rotateBy(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",rotate:a,origin:x},y)})}rotateTo(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",rotate:a,origin:x},y)})}getRotation(){return this.context.viewport.getRotation()}translateBy(a,y){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",translate:a},y)})}translateTo(a,y){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",translate:a},y)})}getPosition(){return qs([0,0],this.getCanvasByViewport([0,0]))}translateElementBy(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=jl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeBy(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}translateElementTo(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=jl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeTo(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}getElementPosition(a){return this.context.model.getElementPosition(a)}getElementRenderStyle(a){return wx(this.context.element.getElement(a).attributes,["context"])}setElementVisibility(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=jl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z],fe={nodes:[],edges:[],combos:[]};Object.entries(ae).forEach(([Te,Fe])=>{const Ue=this.getElementType(Te);fe[`${Ue}s`].push({id:Te,style:{visibility:Fe}})});const{model:me,element:Ae}=this.context;me.preventUpdateNodeLikeHierarchy(()=>{me.updateData(fe)}),yield(re=Ae.draw({animation:se,stage:"visibility"}))===null||re===void 0?void 0:re.finished})}showElement(a,y){return sl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"visible"])),y)})}hideElement(a,y){return sl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"hidden"])),y)})}getElementVisibility(a){var y,x;const b=this.context.element.getElement(a);return(x=(y=b==null?void 0:b.style)===null||y===void 0?void 0:y.visibility)!==null&&x!==void 0?x:"visible"}setElementZIndex(a,y){return sl(this,void 0,void 0,function*(){var x;const b={nodes:[],edges:[],combos:[]},z=jl(a)?a:{[a]:y};Object.entries(z).forEach(([ae,se])=>{const fe=this.getElementType(ae);b[`${fe}s`].push({id:ae,style:{zIndex:se}})});const{model:ee,element:re}=this.context;ee.preventUpdateNodeLikeHierarchy(()=>ee.updateData(b)),yield(x=re.draw({animation:!1,stage:"zIndex"}))===null||x===void 0?void 0:x.finished})}frontElement(a){return sl(this,void 0,void 0,function*(){const y=Array.isArray(a)?a:[a],{model:x}=this.context,b={};y.map(z=>{const ee=x.getFrontZIndex(z);if(x.getElementType(z)==="combo"){const ae=x.getAncestorsData(z,rl).at(-1)||this.getComboData(z),se=[ae,...x.getDescendantsData(_r(ae))],fe=ee-E3(ae);se.forEach(Ae=>{b[_r(Ae)]=this.getElementZIndex(_r(Ae))+fe});const{internal:me}=QA(se.map(_r),Ae=>x.getRelatedEdgesData(Ae));me.forEach(Ae=>{const Te=_r(Ae);b[Te]=this.getElementZIndex(Te)+fe})}else b[z]=ee}),yield this.setElementZIndex(b)})}getElementZIndex(a){return E3(this.context.model.getElementDataById(a))}setElementState(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=jl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z],fe=Ae=>Ae?Array.isArray(Ae)?Ae:[Ae]:[],me={nodes:[],edges:[],combos:[]};Object.entries(ae).forEach(([Ae,Te])=>{const Fe=this.getElementType(Ae);me[`${Fe}s`].push({id:Ae,states:fe(Te)})}),this.updateData(me),yield(re=this.context.element.draw({animation:se,stage:"state"}))===null||re===void 0?void 0:re.finished})}getElementState(a){return this.context.model.getElementState(a)}getElementRenderBounds(a){return this.context.element.getElement(a).getRenderBounds()}collapseElement(a){return sl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const ee=b.getElementType(y);yield this.frontElement(y),this.isCollapsingExpanding=!0,this.setElementCollapsibility(y,!0),ee==="node"?yield z.collapseNode(y,x):ee==="combo"&&(yield z.collapseCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}expandElement(a){return sl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(!xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const ee=b.getElementType(y);this.isCollapsingExpanding=!0,this.setElementCollapsibility(y,!1),ee==="node"?yield z.expandNode(y,x):ee==="combo"&&(yield z.expandCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}setElementCollapsibility(a,y){const x=this.getElementType(a);x==="node"?this.updateNodeData([{id:a,style:{collapsed:y}}]):x==="combo"&&this.updateComboData([{id:a,style:{collapsed:y}}])}toDataURL(){return sl(this,arguments,void 0,function*(a={}){return this.context.canvas.toDataURL(a)})}getCanvasByViewport(a){return this.context.canvas.getCanvasByViewport(a)}getViewportByCanvas(a){return this.context.canvas.getViewportByCanvas(a)}getClientByCanvas(a){return this.context.canvas.getClientByCanvas(a)}getCanvasByClient(a){return this.context.canvas.getCanvasByClient(a)}getViewportCenter(){return this.context.viewport.getViewportCenter()}getCanvasCenter(){return this.context.viewport.getCanvasCenter()}on(a,y,x){return super.on(a,y,x)}once(a,y){return super.once(a,y)}off(a,y){return super.off(a,y)}}B0.defaultOptions={autoResize:!1,theme:"light",rotation:0,zoom:1,zoomRange:[.01,10]};var JH=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{if(re.depth=ae,!re.children)return re;const{children:se}=re,fe=JH(re,["children"]);return Object.assign(Object.assign({},fe),{children:se.map(me=>me.id)})},getEdgeData:x=(re,ae)=>({source:re.id,target:ae.id}),getChildren:b=re=>re.children||[]}=a||{},z=[],ee=[];return yg(E,(re,ae)=>{z.push(y(re,ae));const se=b(re);for(const fe of se)ee.push(x(re,fe))},re=>b(re),"TB"),{nodes:z,edges:ee}}class qH extends Ph{beforeDraw(a){const{add:y,update:x}=a,{model:b}=this.context;return[...y.edges.entries(),...x.edges.entries()].forEach(([,z])=>{T3(b,z)}),a}}const T3=(E,a)=>{const{source:y,target:x}=a,b=E.getElementDataById(y),z=E.getElementDataById(x),ee=zw(b,me=>E.getParentData(me,rl)),re=zw(z,me=>E.getParentData(me,rl)),ae=_r(ee),se=_r(re),fe={sourceNode:ae,targetNode:se};return a.style?Object.assign(a.style,fe):a.style=fe,a},$H=(E,a,y)=>{const[x,b]=a,[z,ee]=y;if(b===x)return z;const re=(E-x)/(b-x);return z+re*(ee-z)},eK=(E,a,y)=>{const[x,b]=a,[z,ee]=y,re=Math.log(E-x+1)/Math.log(b-x+1);return z+re*(ee-z)},tK=(E,a,y,x=2)=>{const[b,z]=a,[ee,re]=y,ae=Math.pow((E-b)/(z-b),x);return ee+ae*(re-ee)},nK=(E,a,y)=>{const[x,b]=a,[z,ee]=y,re=Math.sqrt((E-x)/(b-x));return z+re*(ee-z)};class C1 extends Ph{constructor(a,y){super(a,nc({},C1.defaultOptions,y)),this.assignSizeByCentrality=(x,b,z,ee,re,ae)=>{const se=[b,z],fe=[ee[0],re[0]],me=[ee[1],re[1]],Ae=[ee[2],re[2]],Te=(Fe,Ue)=>{if(typeof ae=="function")return ae(Fe,se,Ue);switch(ae){case"linear":return $H(Fe,se,Ue);case"log":return eK(Fe,se,Ue);case"pow":return tK(Fe,se,Ue,2);case"sqrt":return nK(Fe,se,Ue);default:return Ue[0]}};return[Te(x,fe),Te(x,me),Te(x,Ae)]}}beforeDraw(a){const{model:y}=this.context,x=y.getNodeData(),b=zc(this.options.maxSize),z=zc(this.options.minSize),ee=this.getCentralities(this.options.centrality),re=ee.size>0?Math.max(...ee.values()):0,ae=ee.size>0?Math.min(...ee.values()):0;return x.forEach(se=>{var fe;const me=this.assignSizeByCentrality(ee.get(_r(se))||0,ae,re,z,b,this.options.scale),Ae=(fe=this.context.element)===null||fe===void 0?void 0:fe.getElement(_r(se)),Te={size:me};this.assignLabelStyle(Te,me,se,Ae),(!Ae||!g1(Te,Ae.attributes))&&Vc(a,Ae?"update":"add","node",nc(se,{style:Te}),!0)}),a}assignLabelStyle(a,y,x,b){var z;const ee=b?b.config.style:(z=this.context.element)===null||z===void 0?void 0:z.getElementComputedStyle("node",x);if(Object.assign(a,xg(ee,["labelFontSize","labelLineHeight"])),this.options.mapLabelSize){const re=this.getLabelSizeByNodeSize(y,1/0,Number(a.labelFontSize));Object.assign(a,{labelFontSize:re,labelLineHeight:re+NR(a.labelPadding)})}return a}getLabelSizeByNodeSize(a,y,x){const b=Math.min(...a)/2,[z,ee]=Array.isArray(this.options.mapLabelSize)?this.options.mapLabelSize:[x,y];return Math.min(ee,Math.max(b,z))}getCentralities(a){const{model:y}=this.context,x=y.getData();if(typeof a=="function")return a(x);const b=y.getRelatedEdgesData.bind(y);return j2(x,b,a)}}C1.defaultOptions={centrality:{type:"degree"},maxSize:80,minSize:20,scale:"linear",mapLabelSize:!1};class P1 extends Ph{constructor(a,y){super(a,Object.assign({},P1.defaultOptions,y))}get ref(){return this.context.model.getRootsData()[0]}afterLayout(){var a;const y=uu(this.ref),{graph:x,model:b}=this.context;(a=b.getData().nodes)===null||a===void 0||a.forEach(ee=>{var re;if(_r(ee)===_r(this.ref))return;const ae=K2(qs(uu(ee),y)),se=Math.abs(ae)>Math.PI/2,fe=!ee.children||ee.children.length===0,me=_r(ee),Ae=(re=this.context.element)===null||re===void 0?void 0:re.getElement(me);if(!Ae||!Ae.isVisible())return;const Te=zc(x.getElementRenderStyle(me).size)[0]/2,Fe=(fe?1:-1)*(Te+this.options.offset),Ue=[["translate",Fe*Math.cos(ae),Fe*Math.sin(ae)],["rotate",se?vc(ae)+180:vc(ae)]];b.updateNodeData([{id:_r(ee),style:{labelTextAlign:se===fe?"right":"left",labelTextBaseline:"middle",labelTransform:Ue}}])}),x.draw()}}P1.defaultOptions={offset:5};const rK="quadratic",B3=["top","top-right","right","right-bottom","bottom","bottom-left","left","left-top"];class w1 extends Ph{constructor(a,y){super(a,Object.assign({},w1.defaultOptions,y)),this.cacheMergeStyle=new Map,this.getAffectedParallelEdges=x=>{const{add:{edges:b},update:{nodes:z,edges:ee,combos:re},remove:{edges:ae}}=x,{model:se}=this.context,fe=new Map,me=(Fe,Ue)=>{se.getRelatedEdgesData(Ue).forEach(Ke=>!fe.has(_r(Ke))&&fe.set(_r(Ke),Ke))};z.forEach(me),re.forEach(me);const Ae=Fe=>{const Ue=se.getEdgeData().map(Ke=>T3(se,Ke));aK(Fe,Ue,!0).forEach(Ke=>!fe.has(_r(Ke))&&fe.set(_r(Ke),Ke))};if(ae.size&&ae.forEach(Ae),b.size&&b.forEach(Ae),ee.size){const Fe=LM(Tx(se.getChanges())).update.edges;ee.forEach(Ue=>{var je;Ae(Ue);const Ke=(je=Fe.find(Ze=>_r(Ze.value)===_r(Ue)))===null||je===void 0?void 0:je.original;Ke&&!PS(Ue,Ke)&&Ae(Ke)})}cf(this.options.edges)||fe.forEach((Fe,Ue)=>!this.options.edges.includes(Ue)&&fe.delete(Ue));const Te=se.getEdgeData().map(_r);return new Map([...fe].sort((Fe,Ue)=>Te.indexOf(Fe[0])-Te.indexOf(Ue[0])))},this.applyBundlingStyle=(x,b,z)=>{const{edgeMap:ee,reverses:re}=N3(b);ee.forEach(ae=>{ae.forEach((se,fe,me)=>{var Ae;const Te=me.length,Fe=se.style||{};if(se.source===se.target){const Ke=B3.length;Fe.loopPlacement=B3[fe%Ke],Fe.loopDist=Math.floor(fe/Ke)*z+50}else if(Te===1)Fe.curveOffset=0;else{const Ke=(fe%2===0?1:-1)*(re[`${se.source}|${se.target}|${fe}`]?-1:1);Fe.curveOffset=Te%2===1?Ke*Math.ceil(fe/2)*z*2:Ke*(Math.floor(fe/2)*z*2+z)}const Ue=Object.assign(se,{type:rK,style:Fe}),je=(Ae=this.context.element)===null||Ae===void 0?void 0:Ae.getElement(_r(se));(!je||!g1(Ue.style,je.attributes))&&Vc(x,je?"update":"add","edge",Ue,!0)})})},this.resetEdgeStyle=x=>{const b=x.style||{},z=this.cacheMergeStyle.get(_r(x))||{};return Object.keys(z).forEach(ee=>{Vl(b[ee],z[ee])&&(x[ee]?b[ee]=x[ee]:delete b[ee])}),Object.assign(x,{style:b})},this.applyMergingStyle=(x,b)=>{const{edgeMap:z,reverses:ee}=N3(b);z.forEach(re=>{var ae;if(re.length===1){const fe=re[0],me=(ae=this.context.element)===null||ae===void 0?void 0:ae.getElement(_r(fe)),Ae=this.resetEdgeStyle(fe);(!me||!g1(Ae,me.attributes))&&Vc(x,me?"update":"add","edge",Ae);return}const se=re.map(({source:fe,target:me,style:Ae={}},Te)=>{const{startArrow:Fe,endArrow:Ue}=Ae,je={},[Ke,Ze]=ee[`${fe}|${me}|${Te}`]?["endArrow","startArrow"]:["startArrow","endArrow"];return H0(Fe)&&(je[Ke]=Fe),H0(Ue)&&(je[Ze]=Ue),je}).reduce((fe,me)=>Object.assign(Object.assign({},fe),me),{});re.forEach((fe,me,Ae)=>{var Te;if(me!==0){Vc(x,"remove","edge",fe);return}const Fe=Object.assign({},Gi(this.options.style)?this.options.style(Ae):this.options.style,{childrenData:Ae});this.cacheMergeStyle.set(_r(fe),Fe);const Ue=Object.assign(Object.assign({},fe),{type:"line",style:Object.assign(Object.assign(Object.assign({},fe.style),se),Fe)}),je=(Te=this.context.element)===null||Te===void 0?void 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",_K="data:image/png;base64,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",lZ="data:image/png;base64,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XMLHttpRequest;if(Qe.open("GET",ze.url,!0),Qe.responseType="arraybuffer",Qe.onreadystatechange=this._onReadyStateChange.bind(this),Qe.onprogress=this._onProgress.bind(this),Qe.onload=this._onLoad.bind(this),Qe.onerror=this._onXhrError.bind(this),xe.withCredentials&&(Qe.withCredentials=!0),typeof ze.headers=="object"){let xt=ze.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Qe.setRequestHeader(bt,xt[bt])}if(typeof this._config.headers=="object"){let xt=this._config.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Qe.setRequestHeader(bt,xt[bt])}Qe.send()}abort(){this._requestAbort=!0,this._internalAbort(),this._status=be.kComplete}_internalAbort(){this._xhr&&(this._xhr.onreadystatechange=null,this._xhr.onprogress=null,this._xhr.onload=null,this._xhr.onerror=null,this._xhr.abort(),this._xhr=null)}_onReadyStateChange(xe){let Le=xe.target;if(Le.readyState===2){if(Le.responseURL!=null){let Ie=this._seekHandler.removeURLParameters(Le.responseURL);Le.responseURL!==this._currentRequestURL&&Ie!==this._currentRedirectedURL&&(this._currentRedirectedURL=Ie,this._onURLRedirect&&this._onURLRedirect(Ie))}if(Le.status>=200&&Le.status<=299){if(this._waitForTotalLength)return;this._status=be.kBuffering}else if(this._status=be.kError,this._onError)this._onError(ce.HTTP_STATUS_CODE_INVALID,{code:Le.status,msg:Le.statusText});else throw new we("RangeLoader: Http code invalid, "+Le.status+" "+Le.statusText)}}_onProgress(xe){if(this._status===be.kError)return;if(this._contentLength===null){let Ie=!1;if(this._waitForTotalLength){this._waitForTotalLength=!1,this._totalLengthReceived=!0,Ie=!0;let ze=xe.total;this._internalAbort(),ze!=null&ze!==0&&(this._totalLength=ze)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,Ie){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let Le=xe.loaded-this._lastTimeLoaded;this._lastTimeLoaded=xe.loaded,this._speedSampler.addBytes(Le)}_normalizeSpeed(xe){let Le=this._chunkSizeKBList,Ie=Le.length-1,ze=0,Qe=0,xt=Ie;if(xe=Le[ze]&&xe=3&&(Le=this._speedSampler.currentKBps)),Le!==0){let xt=this._normalizeSpeed(Le);this._currentSpeedNormalized!==xt&&(this._currentSpeedNormalized=xt,this._currentChunkSizeKB=xt)}let Ie=xe.target.response,ze=this._range.from+this._receivedLength;this._receivedLength+=Ie.byteLength;let Qe=!1;this._contentLength!=null&&this._receivedLength0&&this._receivedLength{this._dispatchArrayBuffer(Le.result)},Le.readAsArrayBuffer(xe.data)}else{this._status=be.kError;let Le={code:-1,msg:"Unsupported WebSocket message type: "+xe.data.constructor.name};if(this._onError)this._onError(ce.EXCEPTION,Le);else throw new we(Le.msg)}}_dispatchArrayBuffer(xe){let Le=xe,Ie=this._receivedLength;this._receivedLength+=Le.byteLength,this._onDataArrival&&this._onDataArrival(Le,Ie,this._receivedLength)}_onWebSocketError(xe){this._status=be.kError;let Le={code:xe.code,msg:xe.message};if(this._onError)this._onError(ce.EXCEPTION,Le);else throw new we(Le.msg)}}var We=Be;class Ge{constructor(xe){this._zeroStart=xe||!1}getConfig(xe,Le){let Ie={};if(Le.from!==0||Le.to!==-1){let ze;Le.to!==-1?ze=`bytes=${Le.from.toString()}-${Le.to.toString()}`:ze=`bytes=${Le.from.toString()}-`,Ie.Range=ze}else this._zeroStart&&(Ie.Range="bytes=0-");return{url:xe,headers:Ie}}removeURLParameters(xe){return xe}}var Xe=Ge;class Ye{constructor(xe,Le){this._startName=xe,this._endName=Le}getConfig(xe,Le){let Ie=xe;if(Le.from!==0||Le.to!==-1){let ze=!0;Ie.indexOf("?")===-1&&(Ie+="?",ze=!1),ze&&(Ie+="&"),Ie+=`${this._startName}=${Le.from.toString()}`,Le.to!==-1&&(Ie+=`&${this._endName}=${Le.to.toString()}`)}return{url:Ie,headers:{}}}removeURLParameters(xe){let Le=xe.split("?")[0],Ie,ze=xe.indexOf("?");ze!==-1&&(Ie=xe.substring(ze+1));let Qe="";if(Ie!=null&&Ie.length>0){let xt=Ie.split("&");for(let bt=0;bt0;Yt[0]!==this._startName&&Yt[0]!==this._endName&&(Ht&&(Qe+="&"),Qe+=xt[bt])}}return Qe.length===0?Le:Le+"?"+Qe}}var rt=Ye;class $e{constructor(xe,Le,Ie){this.TAG="IOController",this._config=Le,this._extraData=Ie,this._stashInitialSize=1024*384,Le.stashInitialSize!=null&&Le.stashInitialSize>0&&(this._stashInitialSize=Le.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,Le.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=xe,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(xe.url),this._refTotalLength=xe.filesize?xe.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new Ee,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(xe){this._extraData=xe}get onDataArrival(){return this._onDataArrival}set onDataArrival(xe){this._onDataArrival=xe}get onSeeked(){return this._onSeeked}set onSeeked(xe){this._onSeeked=xe}get onError(){return this._onError}set onError(xe){this._onError=xe}get onComplete(){return this._onComplete}set onComplete(xe){this._onComplete=xe}get onRedirect(){return this._onRedirect}set onRedirect(xe){this._onRedirect=xe}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(xe){this._onRecoveredEarlyEof=xe}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===Ne?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let xe=this._config;if(xe.seekType==="range")this._seekHandler=new Xe(this._config.rangeLoadZeroStart);else if(xe.seekType==="param"){let Le=xe.seekParamStart||"bstart",Ie=xe.seekParamEnd||"bend";this._seekHandler=new rt(Le,Ie)}else if(xe.seekType==="custom"){if(typeof xe.customSeekHandler!="function")throw new pe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new xe.customSeekHandler}else throw new pe(`Invalid seekType in config: ${xe.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=We;else if(he.isSupported())this._loaderClass=he;else if(ue.isSupported())this._loaderClass=ue;else if(Ne.isSupported())this._loaderClass=Ne;else throw new we("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(xe){this._currentRange={from:0,to:-1},xe&&(this._currentRange.from=xe),this._speedSampler.reset(),xe||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let xe=this._resumeFrom;this._resumeFrom=0,this._internalSeek(xe,!0)}}seek(xe){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(xe,!0)}_internalSeek(xe,Le){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(Le),this._loader.destroy(),this._loader=null;let Ie={from:xe,to:-1};this._currentRange={from:Ie.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,Ie),this._onSeeked&&this._onSeeked()}updateUrl(xe){if(!xe||typeof xe!="string"||xe.length===0)throw new pe("Url must be a non-empty string!");this._dataSource.url=xe}_expandBuffer(xe){let Le=this._stashSize;for(;Le+1024*1024*10){let ze=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(Ie,0,Le).set(ze,0)}this._stashBuffer=Ie,this._bufferSize=Le}_normalizeSpeed(xe){let Le=this._speedNormalizeList,Ie=Le.length-1,ze=0,Qe=0,xt=Ie;if(xe=Le[ze]&&xe=512&&xe<=1024?Le=Math.floor(xe*1.5):Le=xe*2,Le>8192&&(Le=8192);let Ie=Le*1024+1024*1024*1;this._bufferSize0){let xt=this._stashBuffer.slice(0,this._stashUsed),bt=this._dispatchChunks(xt,this._stashByteStart);if(bt0){let Yt=new Uint8Array(xt,bt);Qe.set(Yt,0),this._stashUsed=Yt.byteLength,this._stashByteStart+=bt}}else this._stashUsed=0,this._stashByteStart+=bt;this._stashUsed+xe.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+xe.byteLength),Qe=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Qe.set(new Uint8Array(xe),this._stashUsed),this._stashUsed+=xe.byteLength}else{let xt=this._dispatchChunks(xe,Le);if(xtthis._bufferSize&&(this._expandBuffer(bt),Qe=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Qe.set(new Uint8Array(xe,xt),0),this._stashUsed+=bt,this._stashByteStart=Le+xt}}}else if(this._stashUsed===0){let Qe=this._dispatchChunks(xe,Le);if(Qethis._bufferSize&&this._expandBuffer(xt),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(xe,Qe),0),this._stashUsed+=xt,this._stashByteStart=Le+Qe}}else{this._stashUsed+xe.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+xe.byteLength);let Qe=new Uint8Array(this._stashBuffer,0,this._bufferSize);Qe.set(new Uint8Array(xe),this._stashUsed),this._stashUsed+=xe.byteLength;let xt=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(xt0){let bt=new Uint8Array(this._stashBuffer,xt);Qe.set(bt,0)}this._stashUsed-=xt,this._stashByteStart+=xt}}_flushStashBuffer(xe){if(this._stashUsed>0){let Le=this._stashBuffer.slice(0,this._stashUsed),Ie=this._dispatchChunks(Le,this._stashByteStart),ze=Le.byteLength-Ie;if(Ie0){let Qe=new Uint8Array(this._stashBuffer,0,this._bufferSize),xt=new Uint8Array(Le,Ie);Qe.set(xt,0),this._stashUsed=xt.byteLength,this._stashByteStart+=Ie}return 0}return this._stashUsed=0,this._stashByteStart=0,ze}return 0}_onLoaderComplete(xe,Le){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(xe,Le){switch(Pe.e(this.TAG,`Loader error, code = ${Le.code}, msg = ${Le.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,xe=ce.UNRECOVERABLE_EARLY_EOF),xe){case ce.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let Ie=this._currentRange.to+1;Ie0){let Le=mt.getConfig();xe.emit("change",Le)}}static registerListener(xe){mt.emitter.addListener("change",xe)}static removeListener(xe){mt.emitter.removeListener("change",xe)}static addLogListener(xe){Pe.emitter.addListener("log",xe),Pe.emitter.listenerCount("log")>0&&(Pe.ENABLE_CALLBACK=!0,mt._notifyChange())}static removeLogListener(xe){Pe.emitter.removeListener("log",xe),Pe.emitter.listenerCount("log")===0&&(Pe.ENABLE_CALLBACK=!1,mt._notifyChange())}}mt.emitter=new(Ce());var ht=mt;class vt{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let xe=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,Le=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&xe&&Le}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(xe){if(this.keyframesIndex==null)return null;let Le=this.keyframesIndex,Ie=this._search(Le.times,xe);return{index:Ie,milliseconds:Le.times[Ie],fileposition:Le.filepositions[Ie]}}_search(xe,Le){let Ie=0,ze=xe.length-1,Qe=0,xt=0,bt=ze;for(Le=xe[Qe]&&Le=128){xe.push(String.fromCharCode(Qe&65535)),Ie+=2;continue}}}else if(Le[Ie]<240){if(qt(Le,Ie,2)){let Qe=(Le[Ie]&15)<<12|(Le[Ie+1]&63)<<6|Le[Ie+2]&63;if(Qe>=2048&&(Qe&63488)!==55296){xe.push(String.fromCharCode(Qe&65535)),Ie+=3;continue}}}else if(Le[Ie]<248&&qt(Le,Ie,3)){let Qe=(Le[Ie]&7)<<18|(Le[Ie+1]&63)<<12|(Le[Ie+2]&63)<<6|Le[Ie+3]&63;if(Qe>65536&&Qe<1114112){Qe-=65536,xe.push(String.fromCharCode(Qe>>>10|55296)),xe.push(String.fromCharCode(Qe&1023|56320)),Ie+=4;continue}}}xe.push("\uFFFD"),++Ie}return xe.join("")}var mn=en;let Ot=function(){let pt=new ArrayBuffer(2);return new DataView(pt).setInt16(0,256,!0),new Int16Array(pt)[0]===256}();class an{static parseScriptData(xe,Le,Ie){let ze={};try{let Qe=an.parseValue(xe,Le,Ie),xt=an.parseValue(xe,Le+Qe.size,Ie-Qe.size);ze[Qe.data]=xt.data}catch(Qe){Pe.e("AMF",Qe.toString())}return ze}static parseObject(xe,Le,Ie){if(Ie<3)throw new Me("Data not enough when parse ScriptDataObject");let ze=an.parseString(xe,Le,Ie),Qe=an.parseValue(xe,Le+ze.size,Ie-ze.size),xt=Qe.objectEnd;return{data:{name:ze.data,value:Qe.data},size:ze.size+Qe.size,objectEnd:xt}}static parseVariable(xe,Le,Ie){return an.parseObject(xe,Le,Ie)}static parseString(xe,Le,Ie){if(Ie<2)throw new Me("Data not enough when parse String");let Qe=new DataView(xe,Le,Ie).getUint16(0,!Ot),xt;return Qe>0?xt=mn(new Uint8Array(xe,Le+2,Qe)):xt="",{data:xt,size:2+Qe}}static parseLongString(xe,Le,Ie){if(Ie<4)throw new Me("Data not enough when parse LongString");let Qe=new DataView(xe,Le,Ie).getUint32(0,!Ot),xt;return Qe>0?xt=mn(new Uint8Array(xe,Le+4,Qe)):xt="",{data:xt,size:4+Qe}}static parseDate(xe,Le,Ie){if(Ie<10)throw new Me("Data size invalid when parse Date");let ze=new DataView(xe,Le,Ie),Qe=ze.getFloat64(0,!Ot),xt=ze.getInt16(8,!Ot);return Qe+=xt*60*1e3,{data:new Date(Qe),size:10}}static parseValue(xe,Le,Ie){if(Ie<1)throw new Me("Data not enough when parse Value");let ze=new DataView(xe,Le,Ie),Qe=1,xt=ze.getUint8(0),bt,Yt=!1;try{switch(xt){case 0:bt=ze.getFloat64(1,!Ot),Qe+=8;break;case 1:{bt=!!ze.getUint8(1),Qe+=1;break}case 2:{let Ht=an.parseString(xe,Le+1,Ie-1);bt=Ht.data,Qe+=Ht.size;break}case 3:{bt={};let Ht=0;for((ze.getUint32(Ie-4,!Ot)&16777215)===9&&(Ht=3);Qe32)throw new pe("ExpGolomb: readBits() bits exceeded max 32bits!");if(xe<=this._current_word_bits_left){let xt=this._current_word>>>32-xe;return this._current_word<<=xe,this._current_word_bits_left-=xe,xt}let Le=this._current_word_bits_left?this._current_word:0;Le=Le>>>32-this._current_word_bits_left;let Ie=xe-this._current_word_bits_left;this._fillCurrentWord();let ze=Math.min(Ie,this._current_word_bits_left),Qe=this._current_word>>>32-ze;return this._current_word<<=ze,this._current_word_bits_left-=ze,Le=Le<>>xe)return this._current_word<<=xe,this._current_word_bits_left-=xe,xe;return this._fillCurrentWord(),xe+this._skipLeadingZero()}readUEG(){let xe=this._skipLeadingZero();return this.readBits(xe+1)-1}readSEG(){let xe=this.readUEG();return xe&1?xe+1>>>1:-1*(xe>>>1)}}var Nn=Dn;class sn{static _ebsp2rbsp(xe){let Le=xe,Ie=Le.byteLength,ze=new Uint8Array(Ie),Qe=0;for(let xt=0;xt=2&&Le[xt]===3&&Le[xt-1]===0&&Le[xt-2]===0||(ze[Qe]=Le[xt],Qe++);return new Uint8Array(ze.buffer,0,Qe)}static parseSPS(xe){let Le=sn._ebsp2rbsp(xe),Ie=new Nn(Le);Ie.readByte();let ze=Ie.readByte();Ie.readByte();let Qe=Ie.readByte();Ie.readUEG();let xt=sn.getProfileString(ze),bt=sn.getLevelString(Qe),Yt=1,Ht=420,cn=[0,420,422,444],dn=8;if((ze===100||ze===110||ze===122||ze===244||ze===44||ze===83||ze===86||ze===118||ze===128||ze===138||ze===144)&&(Yt=Ie.readUEG(),Yt===3&&Ie.readBits(1),Yt<=3&&(Ht=cn[Yt]),dn=Ie.readUEG()+8,Ie.readUEG(),Ie.readBits(1),Ie.readBool())){let Da=Yt!==3?8:12;for(let sa=0;sa0&&Da<16?(br=sa[Da-1],tr=Ja[Da-1]):Da===255&&(br=Ie.readByte()<<8|Ie.readByte(),tr=Ie.readByte()<<8|Ie.readByte())}if(Ie.readBool()&&Ie.readBool(),Ie.readBool()&&(Ie.readBits(4),Ie.readBool()&&Ie.readBits(24)),Ie.readBool()&&(Ie.readUEG(),Ie.readUEG()),Ie.readBool()){let Da=Ie.readBits(32),sa=Ie.readBits(32);vr=Ie.readBool(),Bn=sa,xr=Da*2,hr=Bn/xr}}let Nr=1;(br!==1||tr!==1)&&(Nr=br/tr);let Xa=0,$a=0;if(Yt===0)Xa=1,$a=2-mr;else{let Da=Yt===3?1:2,sa=Yt===1?2:1;Xa=Da,$a=sa*(2-mr)}let ai=(er+1)*16,Zr=(2-mr)*((rr+1)*16);ai-=(pn+tn)*Xa,Zr-=(Tn+Hn)*$a;let ua=Math.ceil(ai*Nr);return Ie.destroy(),Ie=null,{profile_string:xt,level_string:bt,bit_depth:dn,ref_frames:Mn,chroma_format:Ht,chroma_format_string:sn.getChromaFormatString(Ht),frame_rate:{fixed:vr,fps:hr,fps_den:xr,fps_num:Bn},sar_ratio:{width:br,height:tr},codec_size:{width:ai,height:Zr},present_size:{width:ua,height:Zr}}}static _skipScalingList(xe,Le){let Ie=8,ze=8,Qe=0;for(let xt=0;xt>>8&255|(pt&255)<<8}function Gt(pt){return(pt&4278190080)>>>24|(pt&16711680)>>>8|(pt&65280)<<8|(pt&255)<<24}function gt(pt,xe){return pt[xe]<<24|pt[xe+1]<<16|pt[xe+2]<<8|pt[xe+3]}class St{constructor(xe,Le){this.TAG="FLVDemuxer",this._config=Le,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=xe.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=xe.hasAudioTrack,this._hasVideo=xe.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new jt,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let Ie=new ArrayBuffer(2);return new DataView(Ie).setInt16(0,256,!0),new Int16Array(Ie)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(xe){let Le=new Uint8Array(xe),Ie={match:!1};if(Le[0]!==70||Le[1]!==76||Le[2]!==86||Le[3]!==1)return Ie;let ze=(Le[4]&4)>>>2!==0,Qe=(Le[4]&1)!==0,xt=gt(Le,5);return xt<9?Ie:{match:!0,consumed:xt,dataOffset:xt,hasAudioTrack:ze,hasVideoTrack:Qe}}bindDataSource(xe){return xe.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(xe){this._onTrackMetadata=xe}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(xe){this._onMediaInfo=xe}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(xe){this._onMetaDataArrived=xe}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(xe){this._onScriptDataArrived=xe}get onError(){return this._onError}set onError(xe){this._onError=xe}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(xe){this._onDataAvailable=xe}get timestampBase(){return this._timestampBase}set timestampBase(xe){this._timestampBase=xe}get overridedDuration(){return this._duration}set overridedDuration(xe){this._durationOverrided=!0,this._duration=xe,this._mediaInfo.duration=xe}set overridedHasAudio(xe){this._hasAudioFlagOverrided=!0,this._hasAudio=xe,this._mediaInfo.hasAudio=xe}set overridedHasVideo(xe){this._hasVideoFlagOverrided=!0,this._hasVideo=xe,this._mediaInfo.hasVideo=xe}resetMediaInfo(){this._mediaInfo=new jt}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(xe,Le){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new Me("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let Ie=0,ze=this._littleEndian;if(Le===0)if(xe.byteLength>13)Ie=St.probe(xe).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,Le+Ie!==this._dataOffset&&Pe.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(xe,Ie).getUint32(0,!ze)!==0&&Pe.w(this.TAG,"PrevTagSize0 !== 0 !!!"),Ie+=4);Iexe.byteLength)break;let xt=Qe.getUint8(0),bt=Qe.getUint32(0,!ze)&16777215;if(Ie+11+bt+4>xe.byteLength)break;if(xt!==8&&xt!==9&&xt!==18){Pe.w(this.TAG,`Unsupported tag type ${xt}, skipped`),Ie+=11+bt+4;continue}let Yt=Qe.getUint8(4),Ht=Qe.getUint8(5),cn=Qe.getUint8(6),dn=Qe.getUint8(7),Zn=cn|Ht<<8|Yt<<16|dn<<24;(Qe.getUint32(7,!ze)&16777215)!==0&&Pe.w(this.TAG,"Meet tag which has StreamID != 0!");let er=Ie+11;switch(xt){case 8:this._parseAudioData(xe,er,bt,Zn);break;case 9:this._parseVideoData(xe,er,bt,Zn,Le+Ie);break;case 18:this._parseScriptData(xe,er,bt);break}let rr=Qe.getUint32(11+bt,!ze);rr!==11+bt&&Pe.w(this.TAG,`Invalid PrevTagSize ${rr}`),Ie+=11+bt+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),Ie}_parseScriptData(xe,Le,Ie){let ze=nn.parseScriptData(xe,Le,Ie);if(ze.hasOwnProperty("onMetaData")){if(ze.onMetaData==null||typeof ze.onMetaData!="object"){Pe.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&Pe.w(this.TAG,"Found another onMetaData tag!"),this._metadata=ze;let Qe=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},Qe)),typeof Qe.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=Qe.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof Qe.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=Qe.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof Qe.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=Qe.audiodatarate),typeof Qe.videodatarate=="number"&&(this._mediaInfo.videoDataRate=Qe.videodatarate),typeof Qe.width=="number"&&(this._mediaInfo.width=Qe.width),typeof Qe.height=="number"&&(this._mediaInfo.height=Qe.height),typeof Qe.duration=="number"){if(!this._durationOverrided){let xt=Math.floor(Qe.duration*this._timescale);this._duration=xt,this._mediaInfo.duration=xt}}else this._mediaInfo.duration=0;if(typeof Qe.framerate=="number"){let xt=Math.floor(Qe.framerate*1e3);if(xt>0){let bt=xt/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=bt,this._referenceFrameRate.fps_num=xt,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=bt}}if(typeof Qe.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let xt=Qe.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(xt),Qe.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=Qe,Pe.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(ze).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},ze))}_parseKeyframesIndex(xe){let Le=[],Ie=[];for(let ze=1;ze>>4;if(Yt!==2&&Yt!==10){this._onError(Tt.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+Yt);return}let Ht=0,cn=(bt&12)>>>2;if(cn>=0&&cn<=4)Ht=this._flvSoundRateTable[cn];else{this._onError(Tt.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+cn);return}let dn=(bt&2)>>>1,Zn=bt&1,Mn=this._audioMetadata,er=this._audioTrack;if(Mn||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),Mn=this._audioMetadata={},Mn.type="audio",Mn.id=er.id,Mn.timescale=this._timescale,Mn.duration=this._duration,Mn.audioSampleRate=Ht,Mn.channelCount=Zn===0?1:2),Yt===10){let rr=this._parseAACAudioData(xe,Le+1,Ie-1);if(rr==null)return;if(rr.packetType===0){Mn.config&&Pe.w(this.TAG,"Found another AudioSpecificConfig!");let mr=rr.data;Mn.audioSampleRate=mr.samplingRate,Mn.channelCount=mr.channelCount,Mn.codec=mr.codec,Mn.originalCodec=mr.originalCodec,Mn.config=mr.config,Mn.refSampleDuration=1024/Mn.audioSampleRate*Mn.timescale,Pe.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",Mn);let pn=this._mediaInfo;pn.audioCodec=Mn.originalCodec,pn.audioSampleRate=Mn.audioSampleRate,pn.audioChannelCount=Mn.channelCount,pn.hasVideo?pn.videoCodec!=null&&(pn.mimeType='video/x-flv; codecs="'+pn.videoCodec+","+pn.audioCodec+'"'):pn.mimeType='video/x-flv; codecs="'+pn.audioCodec+'"',pn.isComplete()&&this._onMediaInfo(pn)}else if(rr.packetType===1){let mr=this._timestampBase+ze,pn={unit:rr.data,length:rr.data.byteLength,dts:mr,pts:mr};er.samples.push(pn),er.length+=rr.data.length}else Pe.e(this.TAG,`Flv: Unsupported AAC data type ${rr.packetType}`)}else if(Yt===2){if(!Mn.codec){let tn=this._parseMP3AudioData(xe,Le+1,Ie-1,!0);if(tn==null)return;Mn.audioSampleRate=tn.samplingRate,Mn.channelCount=tn.channelCount,Mn.codec=tn.codec,Mn.originalCodec=tn.originalCodec,Mn.refSampleDuration=1152/Mn.audioSampleRate*Mn.timescale,Pe.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",Mn);let Tn=this._mediaInfo;Tn.audioCodec=Mn.codec,Tn.audioSampleRate=Mn.audioSampleRate,Tn.audioChannelCount=Mn.channelCount,Tn.audioDataRate=tn.bitRate,Tn.hasVideo?Tn.videoCodec!=null&&(Tn.mimeType='video/x-flv; codecs="'+Tn.videoCodec+","+Tn.audioCodec+'"'):Tn.mimeType='video/x-flv; codecs="'+Tn.audioCodec+'"',Tn.isComplete()&&this._onMediaInfo(Tn)}let rr=this._parseMP3AudioData(xe,Le+1,Ie-1,!1);if(rr==null)return;let mr=this._timestampBase+ze,pn={unit:rr,length:rr.byteLength,dts:mr,pts:mr};er.samples.push(pn),er.length+=rr.length}}_parseAACAudioData(xe,Le,Ie){if(Ie<=1){Pe.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let ze={},Qe=new Uint8Array(xe,Le,Ie);return ze.packetType=Qe[0],Qe[0]===0?ze.data=this._parseAACAudioSpecificConfig(xe,Le+1,Ie-1):ze.data=Qe.subarray(1),ze}_parseAACAudioSpecificConfig(xe,Le,Ie){let ze=new Uint8Array(xe,Le,Ie),Qe=null,xt=0,bt=0,Yt=null,Ht=0,cn=null;if(xt=bt=ze[0]>>>3,Ht=(ze[0]&7)<<1|ze[1]>>>7,Ht<0||Ht>=this._mpegSamplingRates.length){this._onError(Tt.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let dn=this._mpegSamplingRates[Ht],Zn=(ze[1]&120)>>>3;if(Zn<0||Zn>=8){this._onError(Tt.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}xt===5&&(cn=(ze[1]&7)<<1|ze[2]>>>7,Yt=(ze[2]&124)>>>2);let Mn=self.navigator.userAgent.toLowerCase();return Mn.indexOf("firefox")!==-1?Ht>=6?(xt=5,Qe=new Array(4),cn=Ht-3):(xt=2,Qe=new Array(2),cn=Ht):Mn.indexOf("android")!==-1?(xt=2,Qe=new Array(2),cn=Ht):(xt=5,cn=Ht,Qe=new Array(4),Ht>=6?cn=Ht-3:Zn===1&&(xt=2,Qe=new Array(2),cn=Ht)),Qe[0]=xt<<3,Qe[0]|=(Ht&15)>>>1,Qe[1]=(Ht&15)<<7,Qe[1]|=(Zn&15)<<3,xt===5&&(Qe[1]|=(cn&15)>>>1,Qe[2]=(cn&1)<<7,Qe[2]|=8,Qe[3]=0),{config:Qe,samplingRate:dn,channelCount:Zn,codec:"mp4a.40."+xt,originalCodec:"mp4a.40."+bt}}_parseMP3AudioData(xe,Le,Ie,ze){if(Ie<4){Pe.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let Qe=this._littleEndian,xt=new Uint8Array(xe,Le,Ie),bt=null;if(ze){if(xt[0]!==255)return;let Yt=xt[1]>>>3&3,Ht=(xt[1]&6)>>1,cn=(xt[2]&240)>>>4,dn=(xt[2]&12)>>>2,Mn=(xt[3]>>>6&3)!==3?2:1,er=0,rr=0,mr=34,pn="mp3";switch(Yt){case 0:er=this._mpegAudioV25SampleRateTable[dn];break;case 2:er=this._mpegAudioV20SampleRateTable[dn];break;case 3:er=this._mpegAudioV10SampleRateTable[dn];break}switch(Ht){case 1:mr=34,cn>>4,Yt=xt&15;if(Yt!==7){this._onError(Tt.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${Yt}`);return}this._parseAVCVideoPacket(xe,Le+1,Ie-1,ze,Qe,bt)}_parseAVCVideoPacket(xe,Le,Ie,ze,Qe,xt){if(Ie<4){Pe.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let bt=this._littleEndian,Yt=new DataView(xe,Le,Ie),Ht=Yt.getUint8(0),dn=(Yt.getUint32(0,!bt)&16777215)<<8>>8;if(Ht===0)this._parseAVCDecoderConfigurationRecord(xe,Le+4,Ie-4);else if(Ht===1)this._parseAVCVideoData(xe,Le+4,Ie-4,ze,Qe,xt,dn);else if(Ht!==2){this._onError(Tt.FORMAT_ERROR,`Flv: Invalid video packet type ${Ht}`);return}}_parseAVCDecoderConfigurationRecord(xe,Le,Ie){if(Ie<7){Pe.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let ze=this._videoMetadata,Qe=this._videoTrack,xt=this._littleEndian,bt=new DataView(xe,Le,Ie);ze?typeof ze.avcc!="undefined"&&Pe.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),ze=this._videoMetadata={},ze.type="video",ze.id=Qe.id,ze.timescale=this._timescale,ze.duration=this._duration);let Yt=bt.getUint8(0),Ht=bt.getUint8(1),cn=bt.getUint8(2),dn=bt.getUint8(3);if(Yt!==1||Ht===0){this._onError(Tt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(bt.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(Tt.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let Zn=bt.getUint8(5)&31;if(Zn===0){this._onError(Tt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else Zn>1&&Pe.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${Zn}`);let Mn=6;for(let rr=0;rr1&&Pe.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${er}`);Mn++;for(let rr=0;rr=Ie){Pe.w(this.TAG,`Malformed Nalu near timestamp ${er}, offset = ${Zn}, dataSize = ${Ie}`);break}let mr=Ht.getUint32(Zn,!Yt);if(Mn===3&&(mr>>>=8),mr>Ie-Mn){Pe.w(this.TAG,`Malformed Nalus near timestamp ${er}, NaluSize > DataSize!`);return}let pn=Ht.getUint8(Zn+Mn)&31;pn===5&&(rr=!0);let tn=new Uint8Array(xe,Le+Zn,Mn+mr),Tn={type:pn,data:tn};cn.push(Tn),dn+=tn.byteLength,Zn+=Mn+mr}if(cn.length){let mr=this._videoTrack,pn={units:cn,length:dn,isKeyframe:rr,dts:er,cts:bt,pts:er+bt};rr&&(pn.fileposition=Qe),mr.samples.push(pn),mr.length+=dn}}}var Qt=St;class Nt{static init(){Nt.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let Le in Nt.types)Nt.types.hasOwnProperty(Le)&&(Nt.types[Le]=[Le.charCodeAt(0),Le.charCodeAt(1),Le.charCodeAt(2),Le.charCodeAt(3)]);let xe=Nt.constants={};xe.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),xe.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),xe.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),xe.STSC=xe.STCO=xe.STTS,xe.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),xe.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),xe.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),xe.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),xe.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),xe.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(xe){let Le=8,Ie=null,ze=Array.prototype.slice.call(arguments,1),Qe=ze.length;for(let bt=0;bt>>24&255,Ie[1]=Le>>>16&255,Ie[2]=Le>>>8&255,Ie[3]=Le&255,Ie.set(xe,4);let xt=8;for(let bt=0;bt>>24&255,xe>>>16&255,xe>>>8&255,xe&255,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(xe){return Nt.box(Nt.types.trak,Nt.tkhd(xe),Nt.mdia(xe))}static tkhd(xe){let Le=xe.id,Ie=xe.duration,ze=xe.presentWidth,Qe=xe.presentHeight;return Nt.box(Nt.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,0,0,0,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,ze>>>8&255,ze&255,0,0,Qe>>>8&255,Qe&255,0,0]))}static mdia(xe){return Nt.box(Nt.types.mdia,Nt.mdhd(xe),Nt.hdlr(xe),Nt.minf(xe))}static mdhd(xe){let Le=xe.timescale,Ie=xe.duration;return Nt.box(Nt.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255,85,196,0,0]))}static hdlr(xe){let Le=null;return xe.type==="audio"?Le=Nt.constants.HDLR_AUDIO:Le=Nt.constants.HDLR_VIDEO,Nt.box(Nt.types.hdlr,Le)}static minf(xe){let Le=null;return xe.type==="audio"?Le=Nt.box(Nt.types.smhd,Nt.constants.SMHD):Le=Nt.box(Nt.types.vmhd,Nt.constants.VMHD),Nt.box(Nt.types.minf,Le,Nt.dinf(),Nt.stbl(xe))}static dinf(){return Nt.box(Nt.types.dinf,Nt.box(Nt.types.dref,Nt.constants.DREF))}static stbl(xe){return Nt.box(Nt.types.stbl,Nt.stsd(xe),Nt.box(Nt.types.stts,Nt.constants.STTS),Nt.box(Nt.types.stsc,Nt.constants.STSC),Nt.box(Nt.types.stsz,Nt.constants.STSZ),Nt.box(Nt.types.stco,Nt.constants.STCO))}static stsd(xe){return xe.type==="audio"?xe.codec==="mp3"?Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.mp3(xe)):Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.mp4a(xe)):Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.avc1(xe))}static mp3(xe){let Le=xe.channelCount,Ie=xe.audioSampleRate,ze=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Le,0,16,0,0,0,0,Ie>>>8&255,Ie&255,0,0]);return Nt.box(Nt.types[".mp3"],ze)}static mp4a(xe){let Le=xe.channelCount,Ie=xe.audioSampleRate,ze=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Le,0,16,0,0,0,0,Ie>>>8&255,Ie&255,0,0]);return Nt.box(Nt.types.mp4a,ze,Nt.esds(xe))}static esds(xe){let Le=xe.config||[],Ie=Le.length,ze=new Uint8Array([0,0,0,0,3,23+Ie,0,1,0,4,15+Ie,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([Ie]).concat(Le).concat([6,1,2]));return Nt.box(Nt.types.esds,ze)}static avc1(xe){let Le=xe.avcc,Ie=xe.codecWidth,ze=xe.codecHeight,Qe=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Ie>>>8&255,Ie&255,ze>>>8&255,ze&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return Nt.box(Nt.types.avc1,Qe,Nt.box(Nt.types.avcC,Le))}static mvex(xe){return Nt.box(Nt.types.mvex,Nt.trex(xe))}static trex(xe){let Le=xe.id,Ie=new Uint8Array([0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return Nt.box(Nt.types.trex,Ie)}static moof(xe,Le){return Nt.box(Nt.types.moof,Nt.mfhd(xe.sequenceNumber),Nt.traf(xe,Le))}static mfhd(xe){let Le=new Uint8Array([0,0,0,0,xe>>>24&255,xe>>>16&255,xe>>>8&255,xe&255]);return Nt.box(Nt.types.mfhd,Le)}static traf(xe,Le){let Ie=xe.id,ze=Nt.box(Nt.types.tfhd,new Uint8Array([0,0,0,0,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255])),Qe=Nt.box(Nt.types.tfdt,new Uint8Array([0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255])),xt=Nt.sdtp(xe),bt=Nt.trun(xe,xt.byteLength+16+16+8+16+8+8);return Nt.box(Nt.types.traf,ze,Qe,bt,xt)}static sdtp(xe){let Le=xe.samples||[],Ie=Le.length,ze=new Uint8Array(4+Ie);for(let Qe=0;Qe>>24&255,ze>>>16&255,ze>>>8&255,ze&255,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255],0);for(let bt=0;bt>>24&255,Yt>>>16&255,Yt>>>8&255,Yt&255,Ht>>>24&255,Ht>>>16&255,Ht>>>8&255,Ht&255,cn.isLeading<<2|cn.dependsOn,cn.isDependedOn<<6|cn.hasRedundancy<<4|cn.isNonSync,0,0,dn>>>24&255,dn>>>16&255,dn>>>8&255,dn&255],12+16*bt)}return Nt.box(Nt.types.trun,xt)}static mdat(xe){return Nt.box(Nt.types.mdat,xe)}}Nt.init();var Mt=Nt;class rn{static getSilentFrame(xe,Le){if(xe==="mp4a.40.2"){if(Le===1)return new Uint8Array([0,200,0,128,35,128]);if(Le===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(Le===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(Le===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(Le===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(Le===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(Le===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Le===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Le===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var On=rn;class zn{constructor(xe,Le,Ie,ze,Qe){this.dts=xe,this.pts=Le,this.duration=Ie,this.originalDts=ze,this.isSyncPoint=Qe,this.fileposition=null}}class Gn{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(xe){xe.isSyncPoint=!0,this.syncPoints.push(xe)}}class nr{constructor(){this._list=[]}clear(){this._list=[]}appendArray(xe){let Le=this._list;xe.length!==0&&(Le.length>0&&xe[0].originalDts=Le[Qe].dts&&xeLe[ze].lastSample.originalDts&&xe=Le[ze].lastSample.originalDts&&(ze===Le.length-1||ze0&&(Qe=this._searchNearestSegmentBefore(Ie.originalBeginDts)+1),this._lastAppendLocation=Qe,this._list.splice(Qe,0,Ie)}getLastSegmentBefore(xe){let Le=this._searchNearestSegmentBefore(xe);return Le>=0?this._list[Le]:null}getLastSampleBefore(xe){let Le=this.getLastSegmentBefore(xe);return Le!=null?Le.lastSample:null}getLastSyncPointBefore(xe){let Le=this._searchNearestSegmentBefore(xe),Ie=this._list[Le].syncPoints;for(;Ie.length===0&&Le>0;)Le--,Ie=this._list[Le].syncPoints;return Ie.length>0?Ie[Ie.length-1]:null}}class $t{constructor(xe){this.TAG="MP4Remuxer",this._config=xe,this._isLive=xe.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new Xn("audio"),this._videoSegmentInfoList=new Xn("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661)),this._fillSilentAfterSeek=oe.msedge||oe.msie,this._mp3UseMpegAudio=!oe.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(xe){return xe.onDataAvailable=this.remux.bind(this),xe.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(xe){this._onInitSegment=xe}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(xe){this._onMediaSegment=xe}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(xe){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(xe,Le){if(!this._onMediaSegment)throw new Me("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(xe,Le),this._remuxVideo(Le),this._remuxAudio(xe)}_onTrackMetadataReceived(xe,Le){let Ie=null,ze="mp4",Qe=Le.codec;if(xe==="audio")this._audioMeta=Le,Le.codec==="mp3"&&this._mp3UseMpegAudio?(ze="mpeg",Qe="",Ie=new Uint8Array):Ie=Mt.generateInitSegment(Le);else if(xe==="video")this._videoMeta=Le,Ie=Mt.generateInitSegment(Le);else return;if(!this._onInitSegment)throw new Me("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(xe,{type:xe,data:Ie.buffer,codec:Qe,container:`${xe}/${ze}`,mediaDuration:Le.duration})}_calculateDtsBase(xe,Le){this._dtsBaseInited||(xe.samples&&xe.samples.length&&(this._audioDtsBase=xe.samples[0].dts),Le.samples&&Le.samples.length&&(this._videoDtsBase=Le.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let xe=this._videoStashedLastSample,Le=this._audioStashedLastSample,Ie={type:"video",id:1,sequenceNumber:0,samples:[],length:0};xe!=null&&(Ie.samples.push(xe),Ie.length=xe.length);let ze={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};Le!=null&&(ze.samples.push(Le),ze.length=Le.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(Ie,!0),this._remuxAudio(ze,!0)}_remuxAudio(xe,Le){if(this._audioMeta==null)return;let Ie=xe,ze=Ie.samples,Qe,xt=-1,bt=-1,Yt=-1,Ht=this._audioMeta.refSampleDuration,cn=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,dn=this._dtsBaseInited&&this._audioNextDts===void 0,Zn=!1;if(!ze||ze.length===0||ze.length===1&&!Le)return;let Mn=0,er=null,rr=0;cn?(Mn=0,rr=Ie.length):(Mn=8,rr=8+Ie.length);let mr=null;if(ze.length>1&&(mr=ze.pop(),rr-=mr.length),this._audioStashedLastSample!=null){let tr=this._audioStashedLastSample;this._audioStashedLastSample=null,ze.unshift(tr),rr+=tr.length}mr!=null&&(this._audioStashedLastSample=mr);let pn=ze[0].dts-this._dtsBase;if(this._audioNextDts)Qe=pn-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())Qe=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(Zn=!0);else{let tr=this._audioSegmentInfoList.getLastSampleBefore(pn);if(tr!=null){let hr=pn-(tr.originalDts+tr.duration);hr<=3&&(hr=0);let vr=tr.dts+tr.duration+hr;Qe=pn-vr}else Qe=0}if(Zn){let tr=pn-Qe,hr=this._videoSegmentInfoList.getLastSegmentBefore(pn);if(hr!=null&&hr.beginDts=1?Jn=tn[tn.length-1].duration:Jn=Math.floor(Ht);let Nr=!1,Xa=null;if(Jn>Ht*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!oe.safari){Nr=!0;let $a=Math.abs(Jn-Ht),ai=Math.ceil($a/Ht),Zr=xr+Ht;Pe.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync. -dts: ${xr+Jn} ms, expected: ${xr+Math.round(Ht)} ms, delta: ${Math.round($a)} ms, generate: ${ai} frames`);let ua=On.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);ua==null&&(Pe.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),ua=vr),Xa=[];for(let sa=0;sa0){let Na=Xa[Xa.length-1];Na.duration=Ja-Na.dts}let Li={dts:Ja,pts:Ja,cts:0,unit:ua,size:ua.byteLength,duration:0,originalDts:Bn,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};Xa.push(Li),rr+=Li.size,Zr+=Ht}let Da=Xa[Xa.length-1];Da.duration=xr+Jn-Da.dts,Jn=Math.round(Ht)}tn.push({dts:xr,pts:xr,cts:0,unit:hr.unit,size:hr.unit.byteLength,duration:Jn,originalDts:Bn,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),Nr&&tn.push.apply(tn,Xa)}cn?er=new Uint8Array(rr):(er=new Uint8Array(rr),er[0]=rr>>>24&255,er[1]=rr>>>16&255,er[2]=rr>>>8&255,er[3]=rr&255,er.set(Mt.types.mdat,4));for(let tr=0;tr1&&(Mn=ze.pop(),Zn-=Mn.length),this._videoStashedLastSample!=null){let Tn=this._videoStashedLastSample;this._videoStashedLastSample=null,ze.unshift(Tn),Zn+=Tn.length}Mn!=null&&(this._videoStashedLastSample=Mn);let er=ze[0].dts-this._dtsBase;if(this._videoNextDts)Qe=er-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())Qe=0;else{let Tn=this._videoSegmentInfoList.getLastSampleBefore(er);if(Tn!=null){let Hn=er-(Tn.originalDts+Tn.duration);Hn<=3&&(Hn=0);let fr=Tn.dts+Tn.duration+Hn;Qe=er-fr}else Qe=0}let rr=new Gn,mr=[];for(let Tn=0;Tn=1?Bn=mr[mr.length-1].duration:Bn=Math.floor(this._videoMeta.refSampleDuration),br){let xr=new zn(tr,vr,Bn,Hn.dts,!0);xr.fileposition=Hn.fileposition,rr.appendSyncPoint(xr)}mr.push({dts:tr,pts:vr,cts:hr,units:Hn.units,size:Hn.length,isKeyframe:br,duration:Bn,originalDts:fr,flags:{isLeading:0,dependsOn:br?2:1,isDependedOn:br?1:0,hasRedundancy:0,isNonSync:br?0:1}})}dn=new Uint8Array(Zn),dn[0]=Zn>>>24&255,dn[1]=Zn>>>16&255,dn[2]=Zn>>>8&255,dn[3]=Zn&255,dn.set(Mt.types.mdat,4);for(let Tn=0;Tn{ze.timestampBase=Ie,Ie+=ze.duration,ze.cors=xe.cors,ze.withCredentials=xe.withCredentials,Le.referrerPolicy&&(ze.referrerPolicy=Le.referrerPolicy)}),!isNaN(Ie)&&this._mediaDataSource.duration!==Ie&&(this._mediaDataSource.duration=Ie),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(xe,Le){this._emitter.addListener(xe,Le)}off(xe,Le){this._emitter.removeListener(xe,Le)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(xe,Le){this._currentSegmentIndex=xe;let Ie=this._mediaDataSource.segments[xe],ze=this._ioctl=new qe(Ie,this._config,xe);ze.onError=this._onIOException.bind(this),ze.onSeeked=this._onIOSeeked.bind(this),ze.onComplete=this._onIOComplete.bind(this),ze.onRedirect=this._onIORedirect.bind(this),ze.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),Le?this._demuxer.bindDataSource(this._ioctl):ze.onDataArrival=this._onInitChunkArrival.bind(this),ze.open(Le)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(xe){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let Le=this._searchSegmentIndexContains(xe);if(Le===this._currentSegmentIndex){let Ie=this._mediaInfo.segments[Le];if(Ie==null)this._pendingSeekTime=xe;else{let ze=Ie.getNearestKeyframe(xe);this._remuxer.seek(ze.milliseconds),this._ioctl.seek(ze.fileposition),this._pendingResolveSeekPoint=ze.milliseconds}}else{let Ie=this._mediaInfo.segments[Le];if(Ie==null)this._pendingSeekTime=xe,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(Le);else{let ze=Ie.getNearestKeyframe(xe);this._internalAbort(),this._remuxer.seek(xe),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[Le].timestampBase,this._loadSegment(Le,ze.fileposition),this._pendingResolveSeekPoint=ze.milliseconds,this._reportSegmentMediaInfo(Le)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(xe){let Le=this._mediaDataSource.segments,Ie=Le.length-1;for(let ze=0;ze0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,ze=this._demuxer.parseChunks(xe,Le);else if((Ie=Qt.probe(xe)).match){this._demuxer=new Qt(Ie,this._config),this._remuxer||(this._remuxer=new gn(this._config));let Qe=this._mediaDataSource;Qe.duration!=null&&!isNaN(Qe.duration)&&(this._demuxer.overridedDuration=Qe.duration),typeof Qe.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=Qe.hasAudio),typeof Qe.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=Qe.hasVideo),this._demuxer.timestampBase=Qe.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),ze=this._demuxer.parseChunks(xe,Le)}else Ie=null,Pe.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(Ln.DEMUX_ERROR,Tt.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),ze=0;return ze}_onMediaInfo(xe){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},xe),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,jt.prototype));let Le=Object.assign({},xe);Object.setPrototypeOf(Le,jt.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=Le,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let Ie=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(Ie)})}_onMetaDataArrived(xe){this._emitter.emit(Ln.METADATA_ARRIVED,xe)}_onScriptDataArrived(xe){this._emitter.emit(Ln.SCRIPTDATA_ARRIVED,xe)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(xe){let Ie=xe+1;Ie0&&Ie[0].originalDts===ze&&(ze=Ie[0].pts),this._emitter.emit(Ln.RECOMMEND_SEEKPOINT,ze)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(xe){let Le=this._mediaInfo.segments[xe],Ie=Object.assign({},Le);Ie.duration=this._mediaInfo.duration,Ie.segmentCount=this._mediaInfo.segmentCount,delete Ie.segments,delete Ie.keyframesIndex,this._emitter.emit(Ln.MEDIA_INFO,Ie)}_reportStatisticsInfo(){let xe={};xe.url=this._ioctl.currentURL,xe.hasRedirect=this._ioctl.hasRedirect,xe.hasRedirect&&(xe.redirectedURL=this._ioctl.currentRedirectedURL),xe.speed=this._ioctl.currentSpeed,xe.loaderType=this._ioctl.loaderType,xe.currentSegmentIndex=this._currentSegmentIndex,xe.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(Ln.STATISTICS_INFO,xe)}}var Ur=Sr,Gr=function(pt){let xe="TransmuxingWorker",Le=null,Ie=rr.bind(this);Ve.install(),pt.addEventListener("message",function(mr){switch(mr.data.cmd){case"init":Le=new Ur(mr.data.param[0],mr.data.param[1]),Le.on(Ln.IO_ERROR,Zn.bind(this)),Le.on(Ln.DEMUX_ERROR,Mn.bind(this)),Le.on(Ln.INIT_SEGMENT,ze.bind(this)),Le.on(Ln.MEDIA_SEGMENT,Qe.bind(this)),Le.on(Ln.LOADING_COMPLETE,xt.bind(this)),Le.on(Ln.RECOVERED_EARLY_EOF,bt.bind(this)),Le.on(Ln.MEDIA_INFO,Yt.bind(this)),Le.on(Ln.METADATA_ARRIVED,Ht.bind(this)),Le.on(Ln.SCRIPTDATA_ARRIVED,cn.bind(this)),Le.on(Ln.STATISTICS_INFO,dn.bind(this)),Le.on(Ln.RECOMMEND_SEEKPOINT,er.bind(this));break;case"destroy":Le&&(Le.destroy(),Le=null),pt.postMessage({msg:"destroyed"});break;case"start":Le.start();break;case"stop":Le.stop();break;case"seek":Le.seek(mr.data.param);break;case"pause":Le.pause();break;case"resume":Le.resume();break;case"logging_config":{let pn=mr.data.param;ht.applyConfig(pn),pn.enableCallback===!0?ht.addLogListener(Ie):ht.removeLogListener(Ie);break}}});function ze(mr,pn){let tn={msg:Ln.INIT_SEGMENT,data:{type:mr,data:pn}};pt.postMessage(tn,[pn.data])}function Qe(mr,pn){let tn={msg:Ln.MEDIA_SEGMENT,data:{type:mr,data:pn}};pt.postMessage(tn,[pn.data])}function xt(){let mr={msg:Ln.LOADING_COMPLETE};pt.postMessage(mr)}function bt(){let mr={msg:Ln.RECOVERED_EARLY_EOF};pt.postMessage(mr)}function Yt(mr){let pn={msg:Ln.MEDIA_INFO,data:mr};pt.postMessage(pn)}function Ht(mr){let pn={msg:Ln.METADATA_ARRIVED,data:mr};pt.postMessage(pn)}function cn(mr){let pn={msg:Ln.SCRIPTDATA_ARRIVED,data:mr};pt.postMessage(pn)}function dn(mr){let pn={msg:Ln.STATISTICS_INFO,data:mr};pt.postMessage(pn)}function Zn(mr,pn){pt.postMessage({msg:Ln.IO_ERROR,data:{type:mr,info:pn}})}function Mn(mr,pn){pt.postMessage({msg:Ln.DEMUX_ERROR,data:{type:mr,info:pn}})}function er(mr){pt.postMessage({msg:Ln.RECOMMEND_SEEKPOINT,data:mr})}function rr(mr,pn){pt.postMessage({msg:"logcat_callback",data:{type:mr,logcat:pn}})}};class ma{constructor(xe,Le){if(this.TAG="Transmuxer",this._emitter=new(Ce()),Le.enableWorker&&typeof Worker!="undefined")try{let Ie=Oe(82059);this._worker=Ie(Gr),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[xe,Le]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},ht.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:ht.getConfig()})}catch(Ie){Pe.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new Ur(xe,Le)}else this._controller=new Ur(xe,Le);if(this._controller){let Ie=this._controller;Ie.on(Ln.IO_ERROR,this._onIOError.bind(this)),Ie.on(Ln.DEMUX_ERROR,this._onDemuxError.bind(this)),Ie.on(Ln.INIT_SEGMENT,this._onInitSegment.bind(this)),Ie.on(Ln.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),Ie.on(Ln.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),Ie.on(Ln.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),Ie.on(Ln.MEDIA_INFO,this._onMediaInfo.bind(this)),Ie.on(Ln.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),Ie.on(Ln.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),Ie.on(Ln.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),Ie.on(Ln.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),ht.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(xe,Le){this._emitter.addListener(xe,Le)}off(xe,Le){this._emitter.removeListener(xe,Le)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(xe){this._worker?this._worker.postMessage({cmd:"seek",param:xe}):this._controller.seek(xe)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(xe,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.INIT_SEGMENT,xe,Le)})}_onMediaSegment(xe,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.MEDIA_SEGMENT,xe,Le)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(Ln.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(Ln.RECOVERED_EARLY_EOF)})}_onMediaInfo(xe){Promise.resolve().then(()=>{this._emitter.emit(Ln.MEDIA_INFO,xe)})}_onMetaDataArrived(xe){Promise.resolve().then(()=>{this._emitter.emit(Ln.METADATA_ARRIVED,xe)})}_onScriptDataArrived(xe){Promise.resolve().then(()=>{this._emitter.emit(Ln.SCRIPTDATA_ARRIVED,xe)})}_onStatisticsInfo(xe){Promise.resolve().then(()=>{this._emitter.emit(Ln.STATISTICS_INFO,xe)})}_onIOError(xe,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.IO_ERROR,xe,Le)})}_onDemuxError(xe,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.DEMUX_ERROR,xe,Le)})}_onRecommendSeekpoint(xe){Promise.resolve().then(()=>{this._emitter.emit(Ln.RECOMMEND_SEEKPOINT,xe)})}_onLoggingConfigChanged(xe){this._worker&&this._worker.postMessage({cmd:"logging_config",param:xe})}_onWorkerMessage(xe){let Le=xe.data,Ie=Le.data;if(Le.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(Le.msg){case Ln.INIT_SEGMENT:case Ln.MEDIA_SEGMENT:this._emitter.emit(Le.msg,Ie.type,Ie.data);break;case Ln.LOADING_COMPLETE:case Ln.RECOVERED_EARLY_EOF:this._emitter.emit(Le.msg);break;case Ln.MEDIA_INFO:Object.setPrototypeOf(Ie,jt.prototype),this._emitter.emit(Le.msg,Ie);break;case Ln.METADATA_ARRIVED:case Ln.SCRIPTDATA_ARRIVED:case Ln.STATISTICS_INFO:this._emitter.emit(Le.msg,Ie);break;case Ln.IO_ERROR:case Ln.DEMUX_ERROR:this._emitter.emit(Le.msg,Ie.type,Ie.info);break;case Ln.RECOMMEND_SEEKPOINT:this._emitter.emit(Le.msg,Ie);break;case"logcat_callback":Pe.emitter.emit("log",Ie.type,Ie.logcat);break;default:break}}}var Oa=ma,Ma={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class li{constructor(xe){this.TAG="MSEController",this._config=xe,this._emitter=new(Ce()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new nr}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(xe,Le){this._emitter.addListener(xe,Le)}off(xe,Le){this._emitter.removeListener(xe,Le)}attachMediaElement(xe){if(this._mediaSource)throw new Me("MediaSource has been attached to an HTMLMediaElement!");let Le=this._mediaSource=new window.MediaSource;Le.addEventListener("sourceopen",this.e.onSourceOpen),Le.addEventListener("sourceended",this.e.onSourceEnded),Le.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=xe,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),xe.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let xe=this._mediaSource;for(let Le in this._sourceBuffers){let Ie=this._pendingSegments[Le];Ie.splice(0,Ie.length),this._pendingSegments[Le]=null,this._pendingRemoveRanges[Le]=null,this._lastInitSegments[Le]=null;let ze=this._sourceBuffers[Le];if(ze){if(xe.readyState!=="closed"){try{xe.removeSourceBuffer(ze)}catch(Qe){Pe.e(this.TAG,Qe.message)}ze.removeEventListener("error",this.e.onSourceBufferError),ze.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[Le]=null,this._sourceBuffers[Le]=null}}if(xe.readyState==="open")try{xe.endOfStream()}catch(Le){Pe.e(this.TAG,Le.message)}xe.removeEventListener("sourceopen",this.e.onSourceOpen),xe.removeEventListener("sourceended",this.e.onSourceEnded),xe.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(xe,Le){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(xe),this._pendingSegments[xe.type].push(xe);return}let Ie=xe,ze=`${Ie.container}`;Ie.codec&&Ie.codec.length>0&&(ze+=`;codecs=${Ie.codec}`);let Qe=!1;if(Pe.v(this.TAG,"Received Initialization Segment, mimeType: "+ze),this._lastInitSegments[Ie.type]=Ie,ze!==this._mimeTypes[Ie.type]){if(this._mimeTypes[Ie.type])Pe.v(this.TAG,`Notice: ${Ie.type} mimeType changed, origin: ${this._mimeTypes[Ie.type]}, target: ${ze}`);else{Qe=!0;try{let xt=this._sourceBuffers[Ie.type]=this._mediaSource.addSourceBuffer(ze);xt.addEventListener("error",this.e.onSourceBufferError),xt.addEventListener("updateend",this.e.onSourceBufferUpdateEnd)}catch(xt){Pe.e(this.TAG,xt.message),this._emitter.emit(Ma.ERROR,{code:xt.code,msg:xt.message});return}}this._mimeTypes[Ie.type]=ze}Le||this._pendingSegments[Ie.type].push(Ie),Qe||this._sourceBuffers[Ie.type]&&!this._sourceBuffers[Ie.type].updating&&this._doAppendSegments(),oe.safari&&Ie.container==="audio/mpeg"&&Ie.mediaDuration>0&&(this._requireSetMediaDuration=!0,this._pendingMediaDuration=Ie.mediaDuration/1e3,this._updateMediaSourceDuration())}appendMediaSegment(xe){let Le=xe;this._pendingSegments[Le.type].push(Le),this._config.autoCleanupSourceBuffer&&this._needCleanupSourceBuffer()&&this._doCleanupSourceBuffer();let Ie=this._sourceBuffers[Le.type];Ie&&!Ie.updating&&!this._hasPendingRemoveRanges()&&this._doAppendSegments()}seek(xe){for(let Le in this._sourceBuffers){if(!this._sourceBuffers[Le])continue;let Ie=this._sourceBuffers[Le];if(this._mediaSource.readyState==="open")try{Ie.abort()}catch(Qe){Pe.e(this.TAG,Qe.message)}this._idrList.clear();let ze=this._pendingSegments[Le];if(ze.splice(0,ze.length),this._mediaSource.readyState!=="closed"){for(let Qe=0;Qe=1&&xe-ze.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let xe=this._mediaElement.currentTime;for(let Le in this._sourceBuffers){let Ie=this._sourceBuffers[Le];if(Ie){let ze=Ie.buffered,Qe=!1;for(let xt=0;xt=this._config.autoCleanupMaxBackwardDuration){Qe=!0;let Ht=xe-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[Le].push({start:bt,end:Ht})}}else Yt0&&(isNaN(Le)||Ie>Le)&&(Pe.v(this.TAG,`Update MediaSource duration from ${Le} to ${Ie}`),this._mediaSource.duration=Ie),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let xe in this._pendingRemoveRanges){if(!this._sourceBuffers[xe]||this._sourceBuffers[xe].updating)continue;let Le=this._sourceBuffers[xe],Ie=this._pendingRemoveRanges[xe];for(;Ie.length&&!Le.updating;){let ze=Ie.shift();Le.remove(ze.start,ze.end)}}}_doAppendSegments(){let xe=this._pendingSegments;for(let Le in xe)if(!(!this._sourceBuffers[Le]||this._sourceBuffers[Le].updating)&&xe[Le].length>0){let Ie=xe[Le].shift();if(Ie.timestampOffset){let ze=this._sourceBuffers[Le].timestampOffset,Qe=Ie.timestampOffset/1e3;Math.abs(ze-Qe)>.1&&(Pe.v(this.TAG,`Update MPEG audio timestampOffset from ${ze} to ${Qe}`),this._sourceBuffers[Le].timestampOffset=Qe),delete Ie.timestampOffset}if(!Ie.data||Ie.data.byteLength===0)continue;try{this._sourceBuffers[Le].appendBuffer(Ie.data),this._isBufferFull=!1,Le==="video"&&Ie.hasOwnProperty("info")&&this._idrList.appendArray(Ie.info.syncPoints)}catch(ze){this._pendingSegments[Le].unshift(Ie),ze.code===22?(this._isBufferFull||this._emitter.emit(Ma.BUFFER_FULL),this._isBufferFull=!0):(Pe.e(this.TAG,ze.message),this._emitter.emit(Ma.ERROR,{code:ze.code,msg:ze.message}))}}}_onSourceOpen(){if(Pe.v(this.TAG,"MediaSource onSourceOpen"),this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._pendingSourceBufferInit.length>0){let xe=this._pendingSourceBufferInit;for(;xe.length;){let Le=xe.shift();this.appendInitSegment(Le,!0)}}this._hasPendingSegments()&&this._doAppendSegments(),this._emitter.emit(Ma.SOURCE_OPEN)}_onSourceEnded(){Pe.v(this.TAG,"MediaSource onSourceEnded")}_onSourceClose(){Pe.v(this.TAG,"MediaSource onSourceClose"),this._mediaSource&&this.e!=null&&(this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._mediaSource.removeEventListener("sourceended",this.e.onSourceEnded),this._mediaSource.removeEventListener("sourceclose",this.e.onSourceClose))}_hasPendingSegments(){let xe=this._pendingSegments;return xe.video.length>0||xe.audio.length>0}_hasPendingRemoveRanges(){let xe=this._pendingRemoveRanges;return xe.video.length>0||xe.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(Ma.UPDATE_END)}_onSourceBufferError(xe){Pe.e(this.TAG,`SourceBuffer Error: ${xe}`)}}var di=li;const Hr={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},Ta={NETWORK_EXCEPTION:ce.EXCEPTION,NETWORK_STATUS_CODE_INVALID:ce.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:ce.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:ce.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:Tt.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:Tt.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:Tt.CODEC_UNSUPPORTED};class Ha{constructor(xe,Le){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(Ce()),this._config=it(),typeof Le=="object"&&Object.assign(this._config,Le),xe.type.toLowerCase()!=="flv")throw new pe("FlvPlayer requires an flv MediaDataSource input!");xe.isLive===!0&&(this._config.isLive=!0),this.e={onvLoadedMetadata:this._onvLoadedMetadata.bind(this),onvSeeking:this._onvSeeking.bind(this),onvCanPlay:this._onvCanPlay.bind(this),onvStalled:this._onvStalled.bind(this),onvProgress:this._onvProgress.bind(this)},self.performance&&self.performance.now?this._now=self.performance.now.bind(self.performance):this._now=Date.now,this._pendingSeekTime=null,this._requestSetTime=!1,this._seekpointRecord=null,this._progressChecker=null,this._mediaDataSource=xe,this._mediaElement=null,this._msectl=null,this._transmuxer=null,this._mseSourceOpened=!1,this._hasPendingLoad=!1,this._receivedCanPlay=!1,this._mediaInfo=null,this._statisticsInfo=null;let Ie=oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661);this._alwaysSeekKeyframe=!!(Ie||oe.msedge||oe.msie),this._alwaysSeekKeyframe&&(this._config.accurateSeek=!1)}destroy(){this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._transmuxer&&this.unload(),this._mediaElement&&this.detachMediaElement(),this.e=null,this._mediaDataSource=null,this._emitter.removeAllListeners(),this._emitter=null}on(xe,Le){xe===At.MEDIA_INFO?this._mediaInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(At.MEDIA_INFO,this.mediaInfo)}):xe===At.STATISTICS_INFO&&this._statisticsInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(At.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(xe,Le)}off(xe,Le){this._emitter.removeListener(xe,Le)}attachMediaElement(xe){if(this._mediaElement=xe,xe.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),xe.addEventListener("seeking",this.e.onvSeeking),xe.addEventListener("canplay",this.e.onvCanPlay),xe.addEventListener("stalled",this.e.onvStalled),xe.addEventListener("progress",this.e.onvProgress),this._msectl=new di(this._config),this._msectl.on(Ma.UPDATE_END,this._onmseUpdateEnd.bind(this)),this._msectl.on(Ma.BUFFER_FULL,this._onmseBufferFull.bind(this)),this._msectl.on(Ma.SOURCE_OPEN,()=>{this._mseSourceOpened=!0,this._hasPendingLoad&&(this._hasPendingLoad=!1,this.load())}),this._msectl.on(Ma.ERROR,Le=>{this._emitter.emit(At.ERROR,Hr.MEDIA_ERROR,Ta.MEDIA_MSE_ERROR,Le)}),this._msectl.attachMediaElement(xe),this._pendingSeekTime!=null)try{xe.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(Le){}}detachMediaElement(){this._mediaElement&&(this._msectl.detachMediaElement(),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement.removeEventListener("seeking",this.e.onvSeeking),this._mediaElement.removeEventListener("canplay",this.e.onvCanPlay),this._mediaElement.removeEventListener("stalled",this.e.onvStalled),this._mediaElement.removeEventListener("progress",this.e.onvProgress),this._mediaElement=null),this._msectl&&(this._msectl.destroy(),this._msectl=null)}load(){if(!this._mediaElement)throw new Me("HTMLMediaElement must be attached before load()!");if(this._transmuxer)throw new Me("FlvPlayer.load() has been called, please call unload() first!");if(!this._hasPendingLoad){if(this._config.deferLoadAfterSourceOpen&&this._mseSourceOpened===!1){this._hasPendingLoad=!0;return}this._mediaElement.readyState>0&&(this._requestSetTime=!0,this._mediaElement.currentTime=0),this._transmuxer=new Oa(this._mediaDataSource,this._config),this._transmuxer.on(Ln.INIT_SEGMENT,(xe,Le)=>{this._msectl.appendInitSegment(Le)}),this._transmuxer.on(Ln.MEDIA_SEGMENT,(xe,Le)=>{if(this._msectl.appendMediaSegment(Le),this._config.lazyLoad&&!this._config.isLive){let Ie=this._mediaElement.currentTime;Le.info.endDts>=(Ie+this._config.lazyLoadMaxDuration)*1e3&&this._progressChecker==null&&(Pe.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}}),this._transmuxer.on(Ln.LOADING_COMPLETE,()=>{this._msectl.endOfStream(),this._emitter.emit(At.LOADING_COMPLETE)}),this._transmuxer.on(Ln.RECOVERED_EARLY_EOF,()=>{this._emitter.emit(At.RECOVERED_EARLY_EOF)}),this._transmuxer.on(Ln.IO_ERROR,(xe,Le)=>{this._emitter.emit(At.ERROR,Hr.NETWORK_ERROR,xe,Le)}),this._transmuxer.on(Ln.DEMUX_ERROR,(xe,Le)=>{this._emitter.emit(At.ERROR,Hr.MEDIA_ERROR,xe,{code:-1,msg:Le})}),this._transmuxer.on(Ln.MEDIA_INFO,xe=>{this._mediaInfo=xe,this._emitter.emit(At.MEDIA_INFO,Object.assign({},xe))}),this._transmuxer.on(Ln.METADATA_ARRIVED,xe=>{this._emitter.emit(At.METADATA_ARRIVED,xe)}),this._transmuxer.on(Ln.SCRIPTDATA_ARRIVED,xe=>{this._emitter.emit(At.SCRIPTDATA_ARRIVED,xe)}),this._transmuxer.on(Ln.STATISTICS_INFO,xe=>{this._statisticsInfo=this._fillStatisticsInfo(xe),this._emitter.emit(At.STATISTICS_INFO,Object.assign({},this._statisticsInfo))}),this._transmuxer.on(Ln.RECOMMEND_SEEKPOINT,xe=>{this._mediaElement&&!this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=xe/1e3)}),this._transmuxer.open()}}unload(){this._mediaElement&&this._mediaElement.pause(),this._msectl&&this._msectl.seek(0),this._transmuxer&&(this._transmuxer.close(),this._transmuxer.destroy(),this._transmuxer=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(xe){this._mediaElement.volume=xe}get muted(){return this._mediaElement.muted}set muted(xe){this._mediaElement.muted=xe}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(xe){this._mediaElement?this._internalSeek(xe):this._pendingSeekTime=xe}get mediaInfo(){return Object.assign({},this._mediaInfo)}get statisticsInfo(){return this._statisticsInfo==null&&(this._statisticsInfo={}),this._statisticsInfo=this._fillStatisticsInfo(this._statisticsInfo),Object.assign({},this._statisticsInfo)}_fillStatisticsInfo(xe){if(xe.playerType=this._type,!(this._mediaElement instanceof HTMLVideoElement))return xe;let Le=!0,Ie=0,ze=0;if(this._mediaElement.getVideoPlaybackQuality){let Qe=this._mediaElement.getVideoPlaybackQuality();Ie=Qe.totalVideoFrames,ze=Qe.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(Ie=this._mediaElement.webkitDecodedFrameCount,ze=this._mediaElement.webkitDroppedFrameCount):Le=!1;return Le&&(xe.decodedFrames=Ie,xe.droppedFrames=ze),xe}_onmseUpdateEnd(){if(!this._config.lazyLoad||this._config.isLive)return;let xe=this._mediaElement.buffered,Le=this._mediaElement.currentTime,Ie=0,ze=0;for(let Qe=0;Qe=Le+this._config.lazyLoadMaxDuration&&this._progressChecker==null&&(Pe.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}_onmseBufferFull(){Pe.v(this.TAG,"MSE SourceBuffer is full, suspend transmuxing task"),this._progressChecker==null&&this._suspendTransmuxer()}_suspendTransmuxer(){this._transmuxer&&(this._transmuxer.pause(),this._progressChecker==null&&(this._progressChecker=window.setInterval(this._checkProgressAndResume.bind(this),1e3)))}_checkProgressAndResume(){let 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ze=Ie.start(0);if(ze<1&&Le{this._emitter.emit(At.MEDIA_INFO,this.mediaInfo)}):xe===At.STATISTICS_INFO&&this._mediaElement!=null&&this._mediaElement.readyState!==0&&Promise.resolve().then(()=>{this._emitter.emit(At.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(xe,Le)}off(xe,Le){this._emitter.removeListener(xe,Le)}attachMediaElement(xe){if(this._mediaElement=xe,xe.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._pendingSeekTime!=null)try{xe.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(Le){}}detachMediaElement(){this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement=null),this._statisticsReporter!=null&&(window.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}load(){if(!this._mediaElement)throw new Me("HTMLMediaElement must be attached before 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if(re==="show")Object.assign(me,{opacity:0}),Object.assign(Ae,{opacity:(x=A3(z,"opacity"))!==null&&x!==void 0?x:cv("opacity")});else if(re==="hide")Object.assign(me,{opacity:(b=A3(z,"opacity"))!==null&&b!==void 0?b:cv("opacity")}),Object.assign(Ae,{opacity:0});else if(re==="collapse"){const{collapse:Te}=y||{},{target:Fe,descendants:Ue,position:je}=Te;if(ee==="node"){if(Ue.includes(z.id)){const[Ke,Ze,Je]=je;Object.assign(Ae,{x:Ke,y:Ze,z:Je})}}else if(ee==="combo"){if(z.id===Fe||Ue.includes(z.id)){const[Ke,Ze]=je;Object.assign(Ae,{x:Ke,y:Ze,childrenNode:ae.childrenNode})}}else ee==="edge"&&Object.assign(Ae,{sourceNode:fe.sourceNode,targetNode:fe.targetNode})}else if(re==="expand"){const{expand:Te}=y||{},{target:Fe,descendants:Ue,position:je}=Te;if(ee==="node"){if(z.id===Fe||Ue.includes(z.id)){const[Ke,Ze,Je]=je;Object.assign(me,{x:Ke,y:Ze,z:Je})}}else if(ee==="combo"){if(z.id===Fe||Ue.includes(z.id)){const[Ke,Ze,Je]=je;Object.assign(me,{x:Ke,y:Ze,z:Je,childrenNode:fe.childrenNode})}}else ee==="edge"&&Object.assign(me,{sourceNode:fe.sourceNode,targetNode:fe.targetNode})}return[Object.keys(me).length>0?Object.assign({},ae,me):ae,Object.keys(Ae).length>0?Object.assign({},fe,Ae):fe]}stop(){this.animations.forEach(a=>a.cancel())}clear(){this.tasks=[]}release(){var a,y;const{canvas:x}=this.context,b=(y=(a=x.document)===null||a===void 0?void 0:a.timeline)===null||y===void 0?void 0:y.animationsWithPromises;b&&(x.document.timeline.animationsWithPromises=b.filter(z=>z.playState!=="finished"))}destroy(){this.stop(),this.animations.clear(),this.tasks=[]}}class PH{constructor(a){this.batchCount=0,this.context=a}emit(a){const{graph:y}=this.context;y.emit(a.type,a)}startBatch(a=!0){this.batchCount++,this.batchCount===1&&this.emit(new nu(ci.BATCH_START,{initiate:a}))}endBatch(){this.batchCount--,this.batchCount===0&&this.emit(new nu(ci.BATCH_END))}get isBatching(){return this.batchCount>0}destroy(){this.context=null}}class wH extends bA{constructor(a){super(a),this.currentTarget=null,this.currentTargetType=null,this.category="behavior",this.forwardCanvasEvents=y=>{const{target:x}=y,b=xH(x);if(!b)return;const{graph:z,canvas:ee}=this.context,{type:re,element:ae}=b;if("destroyed"in ae&&(qp(ae)||ae.destroyed))return;const{type:se,detail:fe,button:me}=y,Ae=Object.assign(Object.assign({},y),{target:ae,targetType:re,originalTarget:x});se===va.POINTER_MOVE&&(this.currentTarget!==ae&&(this.currentTarget&&z.emit(`${this.currentTargetType}:${va.POINTER_LEAVE}`,Object.assign(Object.assign({},Ae),{type:va.POINTER_LEAVE,target:this.currentTarget,targetType:this.currentTargetType})),ae&&(Object.assign(Ae,{type:va.POINTER_ENTER}),z.emit(`${re}:${va.POINTER_ENTER}`,Ae))),this.currentTarget=ae,this.currentTargetType=re),se===va.CLICK&&me===2||(z.emit(`${re}:${se}`,Ae),z.emit(se,Ae)),se===va.CLICK&&fe===2&&(Object.assign(Ae,{type:va.DBLCLICK}),z.emit(`${re}:${va.DBLCLICK}`,Ae),z.emit(va.DBLCLICK,Ae)),se===va.POINTER_DOWN&&me===2&&(Object.assign(Ae,{type:va.CONTEXT_MENU,preventDefault:()=>{var Te;(Te=ee.getContainer())===null||Te===void 0||Te.addEventListener(va.CONTEXT_MENU,Fe=>Fe.preventDefault(),{once:!0})}}),z.emit(`${re}:${va.CONTEXT_MENU}`,Ae),z.emit(va.CONTEXT_MENU,Ae))},this.forwardContainerEvents=y=>{this.context.graph.emit(y.type,y)},this.forwardEvents(),this.setBehaviors(this.context.options.behaviors||[])}setBehaviors(a){this.setExtensions(a)}forwardEvents(){const a=this.context.canvas.getContainer();a&&[l0.KEY_DOWN,l0.KEY_UP].forEach(x=>{a.addEventListener(x,this.forwardContainerEvents)});const y=this.context.canvas.document;y&&[va.CLICK,va.DBLCLICK,va.POINTER_OVER,va.POINTER_LEAVE,va.POINTER_ENTER,va.POINTER_MOVE,va.POINTER_OUT,va.POINTER_DOWN,va.POINTER_UP,va.CONTEXT_MENU,va.DRAG_START,va.DRAG,va.DRAG_END,va.DRAG_ENTER,va.DRAG_OVER,va.DRAG_LEAVE,va.DROP,va.WHEEL].forEach(x=>{y.addEventListener(x,this.forwardCanvasEvents)})}destroy(){const a=this.context.canvas.getContainer();a&&[l0.KEY_DOWN,l0.KEY_UP].forEach(y=>{a.removeEventListener(y,this.forwardContainerEvents)}),this.context.canvas.document.removeAllEventListeners(),super.destroy()}}function MH(E,a){a===void 0&&(a=new Map);var y=[];if(Array.isArray(E))for(var x=0,b=E.length;xFe.length!==Ue.length?!1:Fe.every((je,Ke)=>je===Ue[Ke]),Te=(Fe,Ue)=>{const je=Object.keys(Fe),Ke=Object.keys(Ue);return je.length!==Ke.length?!1:je.every(Ze=>Fe[Ze]===Ue[Ze])};return!(!Te(ee,me)||!Ae(z,fe)||!Ae(y,re)||!Te(x,ae)||!Te(b,se))}var DH=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b0}silence(a){this.isTraceless=!0,a(),this.isTraceless=!1}isCombo(a){return this.comboIds.has(a)||this.latestRemovedComboIds.has(a)}getData(){return{nodes:this.getNodeData(),edges:this.getEdgeData(),combos:this.getComboData()}}getNodeData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Su(x);return this.isCombo(_r(b))||(a===void 0||a.includes(_r(b)))&&y.push(b),y},[])}getEdgeDatum(a){return Su(this.model.getEdge(a))}getEdgeData(a){return this.model.getAllEdges().reduce((y,x)=>{const b=Su(x);return(a===void 0||a.includes(_r(b)))&&y.push(b),y},[])}getComboData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Su(x);return this.isCombo(_r(b))&&(a===void 0||a.includes(_r(b)))&&y.push(b),y},[])}getRootsData(a=Fc){return this.model.getRoots(a).map(Su)}getAncestorsData(a,y){const{model:x}=this;return!x.hasNode(a)||!x.hasTreeStructure(y)?[]:x.getAncestors(a,y).map(Su)}getDescendantsData(a){const y=this.getElementDataById(a),x=[];return yg(y,b=>{b!==y&&x.push(b)},b=>this.getChildrenData(_r(b)),"TB"),x}getParentData(a,y){const{model:x}=this;if(!y){Ac.warn("The hierarchy structure key is not specified");return}if(!x.hasNode(a)||!x.hasTreeStructure(y))return;const b=x.getParent(a,y);return b?Su(b):void 0}getChildrenData(a){const y=this.getElementType(a)==="node"?Fc:rl,{model:x}=this;return!x.hasNode(a)||!x.hasTreeStructure(y)?[]:x.getChildren(a,y).map(Su)}getElementsDataByType(a){return a==="node"?this.getNodeData():a==="edge"?this.getEdgeData():a==="combo"?this.getComboData():[]}getElementDataById(a){return this.getElementType(a)==="edge"?this.getEdgeDatum(a):this.getNodeLikeDatum(a)}getNodeLikeDatum(a){const y=this.model.getNode(a);return Su(y)}getNodeLikeData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Su(x);return a?a.includes(_r(b))&&y.push(b):y.push(b),y},[])}getElementDataByState(a,y){return this.getElementsDataByType(a).filter(b=>{var z;return(z=b.states)===null||z===void 0?void 0:z.includes(y)})}getElementState(a){var y;return((y=this.getElementDataById(a))===null||y===void 0?void 0:y.states)||[]}hasNode(a){return this.model.hasNode(a)&&!this.isCombo(a)}hasEdge(a){return this.model.hasEdge(a)}hasCombo(a){return this.model.hasNode(a)&&this.isCombo(a)}getRelatedEdgesData(a,y="both"){return this.model.getRelatedEdges(a,y).map(Su)}getNeighborNodesData(a){return this.model.getNeighbors(a).map(Su)}setData(a){const{nodes:y=[],edges:x=[],combos:b=[]}=a,{nodes:z,edges:ee,combos:re}=this.getData(),ae=ch(z,y,me=>_r(me),L0),se=ch(ee,x,me=>_r(me),L0),fe=ch(re,b,me=>_r(me),L0);this.batch(()=>{const me={nodes:ae.enter,edges:se.enter,combos:fe.enter};this.addData(me),this.computeZIndex(me,"add",!0);const Ae={nodes:ae.update,edges:se.update,combos:fe.update};this.updateData(Ae),this.computeZIndex(Ae,"update",!0);const Te={nodes:ae.exit.map(_r),edges:se.exit.map(_r),combos:fe.exit.map(_r)};this.removeData(Te)})}addData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.addComboData(b),this.addNodeData(y),this.addEdgeData(x)}),this.computeZIndex(a,"add")}addNodeData(a=[]){a.length&&(this.model.addNodes(a.map(y=>(this.pushChange({value:y,type:gl.NodeAdded}),xS(y)))),this.updateNodeLikeHierarchy(a),this.computeZIndex({nodes:a},"add"))}addEdgeData(a=[]){a.length&&(this.model.addEdges(a.map(y=>(this.pushChange({value:y,type:gl.EdgeAdded}),xS(y)))),this.computeZIndex({edges:a},"add"))}addComboData(a=[]){if(!a.length)return;const{model:y}=this;y.hasTreeStructure(rl)||y.attachTreeStructure(rl),y.addNodes(a.map(x=>(this.comboIds.add(_r(x)),this.pushChange({value:x,type:gl.ComboAdded}),xS(x)))),this.updateNodeLikeHierarchy(a),this.computeZIndex({combos:a},"add")}addChildrenData(a,y){const x=this.getNodeLikeDatum(a),b=y.map(_r);this.addNodeData(y),this.updateNodeData([{id:a,children:[...x.children||[],...b]}]),this.addEdgeData(b.map(z=>({source:a,target:z})))}computeZIndex(a,y,x=!1){!x&&this.isBatching()||this.batch(()=>{const{nodes:b=[],edges:z=[],combos:ee=[]}=a;ee.forEach(re=>{var ae,se,fe;const me=_r(re);if(y==="add"&&Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re))return;const Ae=this.getParentData(me,rl),Te=Ae?((fe=(se=Ae.style)===null||se===void 0?void 0:se.zIndex)!==null&&fe!==void 0?fe:0)+1:0;this.preventUpdateNodeLikeHierarchy(()=>{this.updateComboData([{id:me,style:{zIndex:Te}}])})}),b.forEach(re=>{var ae,se,fe;const me=_r(re);if(y==="add"&&Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re)&&!("children"in re))return;let Ae=0;const Te=this.getParentData(me,rl);if(Te)Ae=(((se=Te.style)===null||se===void 0?void 0:se.zIndex)||0)+1;else{const Fe=this.getParentData(me,Fc);Fe&&(Ae=((fe=Fe==null?void 0:Fe.style)===null||fe===void 0?void 0:fe.zIndex)||0)}this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:me,style:{zIndex:Ae}}])})}),z.forEach(re=>{var ae,se,fe,me,Ae;if(Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex))return;let{id:Te,source:Fe,target:Ue}=re;if(!Te)Te=_r(re);else{const Ze=this.getEdgeDatum(Te);Fe=Ze.source,Ue=Ze.target}if(!Fe||!Ue)return;const je=((fe=(se=this.getNodeLikeDatum(Fe))===null||se===void 0?void 0:se.style)===null||fe===void 0?void 0:fe.zIndex)||0,Ke=((Ae=(me=this.getNodeLikeDatum(Ue))===null||me===void 0?void 0:me.style)===null||Ae===void 0?void 0:Ae.zIndex)||0;this.updateEdgeData([{id:_r(re),style:{zIndex:Math.max(je,Ke)-1}}])})})}getFrontZIndex(a){var y;const x=this.getElementType(a),b=this.getElementDataById(a),z=this.getData();if(Object.assign(z,{[`${x}s`]:z[`${x}s`].filter(ee=>_r(ee)!==a)}),x==="combo"&&!xc(b)){const ee=new Set(this.getAncestorsData(a,rl).map(_r));z.nodes=z.nodes.filter(re=>!ee.has(_r(re))),z.combos=z.combos.filter(re=>!ee.has(_r(re))),z.edges=z.edges.filter(({source:re,target:ae})=>!ee.has(re)&&!ee.has(ae))}return Math.max(((y=b.style)===null||y===void 0?void 0:y.zIndex)||0,0,...Object.values(z).flat().map(ee=>{var re;return(((re=ee==null?void 0:ee.style)===null||re===void 0?void 0:re.zIndex)||0)+1}))}updateNodeLikeHierarchy(a){if(!this.enableUpdateNodeLikeHierarchy)return;const{model:y}=this;a.forEach(x=>{const b=_r(x),z=xp(x);z!==void 0&&(y.hasTreeStructure(rl)||y.attachTreeStructure(rl),z===null&&this.refreshComboData(b),this.setParent(b,xp(x),rl));const ee=x.children||[];if(ee.length){y.hasTreeStructure(Fc)||y.attachTreeStructure(Fc);const re=ee.filter(ae=>y.hasNode(ae));re.forEach(ae=>this.setParent(ae,b,Fc)),re.length!==ee.length&&this.updateNodeData([{id:b,children:re}])}})}preventUpdateNodeLikeHierarchy(a){this.enableUpdateNodeLikeHierarchy=!1,a(),this.enableUpdateNodeLikeHierarchy=!0}updateData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.updateNodeData(y),this.updateComboData(b),this.updateEdgeData(x)}),this.computeZIndex(a,"update")}updateNodeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{const x=[];a.forEach(b=>{const z=_r(b),ee=Su(y.getNode(z));if(L0(ee,b))return;const re=wh(ee,b);this.pushChange({value:re,original:ee,type:gl.NodeUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({nodes:a},"update")}refreshData(){const{nodes:a,edges:y,combos:x}=this.getData();a.forEach(b=>{this.pushChange({value:b,original:b,type:gl.NodeUpdated})}),y.forEach(b=>{this.pushChange({value:b,original:b,type:gl.EdgeUpdated})}),x.forEach(b=>{this.pushChange({value:b,original:b,type:gl.ComboUpdated})})}syncNodeLikeDatum(a){const{model:y}=this,x=_r(a);if(!y.hasNode(x))return;const b=Su(y.getNode(x)),z=wh(b,a);y.mergeNodeData(x,z)}syncEdgeDatum(a){const{model:y}=this,x=_r(a);if(!y.hasEdge(x))return;const b=Su(y.getEdge(x)),z=wh(b,a);y.mergeEdgeData(x,z)}updateEdgeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{a.forEach(x=>{const b=_r(x),z=Su(y.getEdge(b));if(L0(z,x))return;x.source&&z.source!==x.source&&y.updateEdgeSource(b,x.source),x.target&&z.target!==x.target&&y.updateEdgeTarget(b,x.target);const ee=wh(z,x);this.pushChange({value:ee,original:z,type:gl.EdgeUpdated}),y.mergeEdgeData(b,ee)})}),this.computeZIndex({edges:a},"update")}updateComboData(a=[]){if(!a.length)return;const{model:y}=this;y.batch(()=>{const x=[];a.forEach(b=>{const z=_r(b),ee=Su(y.getNode(z));if(L0(ee,b))return;const re=wh(ee,b);this.pushChange({value:re,original:ee,type:gl.ComboUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({combos:a},"update")}setParent(a,y,x,b=!0){if(a===y)return;const z=this.getNodeLikeDatum(a),ee=xp(z);if(ee!==y&&x===rl){const re={id:a,combo:y};this.isCombo(a)?this.syncNodeLikeDatum(re):this.syncNodeLikeDatum(re)}this.model.setParent(a,y,x),b&&x===rl&&MH([ee,y]).forEach(re=>{re!==void 0&&this.refreshComboData(re)})}refreshComboData(a){const y=this.getComboData([a])[0],x=this.getAncestorsData(a,rl);y&&this.pushChange({value:y,original:y,type:gl.ComboUpdated}),x.forEach(b=>{this.pushChange({value:b,original:b,type:gl.ComboUpdated})})}getElementPosition(a){const y=this.getElementDataById(a);return uu(y)}translateNodeLikeBy(a,y){this.isCombo(a)?this.translateComboBy(a,y):this.translateNodeBy(a,y)}translateNodeLikeTo(a,y){this.isCombo(a)?this.translateComboTo(a,y):this.translateNodeTo(a,y)}translateNodeBy(a,y){const x=this.getElementPosition(a),b=ko(x,[...y,0].slice(0,3));this.translateNodeTo(a,b)}translateNodeTo(a,y){const[x=0,b=0,z=0]=y;this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:a,style:{x,y:b,z}}])})}translateComboBy(a,y){const[x=0,b=0,z=0]=y;if([x,b,z].some(isNaN)||[x,b,z].every(ae=>ae===0))return;const ee=this.getComboData([a])[0];if(!ee)return;const re=new Set;yg(ee,ae=>{const se=_r(ae);if(re.has(se))return;re.add(se);const[fe,me,Ae]=uu(ae),Te=wh(ae,{style:{x:fe+x,y:me+b,z:Ae+z}});this.pushChange({value:Te,original:ae,type:this.isCombo(se)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(se,Te)},ae=>this.getChildrenData(_r(ae)),"BT")}translateComboTo(a,y){var x;if(y.some(isNaN))return;const[b=0,z=0,ee=0]=y,re=(x=this.getComboData([a]))===null||x===void 0?void 0:x[0];if(!re)return;const[ae,se,fe]=uu(re),me=b-ae,Ae=z-se,Te=ee-fe;yg(re,Fe=>{const Ue=_r(Fe),[je,Ke,Ze]=uu(Fe),Je=wh(Fe,{style:{x:je+me,y:Ke+Ae,z:Ze+Te}});this.pushChange({value:Je,original:Fe,type:this.isCombo(Ue)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(Ue,Je)},Fe=>this.getChildrenData(_r(Fe)),"BT")}removeData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.removeEdgeData(x),this.removeNodeData(y),this.removeComboData(b),this.latestRemovedComboIds=new Set(b)})}removeNodeData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.removeEdgeData(this.getRelatedEdgesData(y).map(_r)),this.pushChange({value:this.getNodeData([y])[0],type:gl.NodeRemoved}),this.removeNodeLikeHierarchy(y)}),this.model.removeNodes(a)})}removeEdgeData(a=[]){a.length&&(a.forEach(y=>this.pushChange({value:this.getEdgeData([y])[0],type:gl.EdgeRemoved})),this.model.removeEdges(a))}removeComboData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.pushChange({value:this.getComboData([y])[0],type:gl.ComboRemoved}),this.removeNodeLikeHierarchy(y),this.comboIds.delete(y)}),this.model.removeNodes(a)})}removeNodeLikeHierarchy(a){if(this.model.hasTreeStructure(rl)){const y=xp(this.getNodeLikeDatum(a));this.setParent(a,void 0,rl,!1),this.model.getChildren(a,rl).forEach(x=>{const b=Su(x),z=_r(b);this.setParent(_r(b),y,rl,!1);const ee=wh(b,{id:_r(b),combo:y});this.pushChange({value:ee,original:b,type:this.isCombo(z)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(_r(b),ee)}),fo(y)||this.refreshComboData(y)}}getElementType(a){if(this.model.hasNode(a))return this.isCombo(a)?"combo":"node";if(this.model.hasEdge(a))return"edge";throw new Error(Lf(`Unknown element type of id: ${a}`))}destroy(){const{model:a}=this,y=a.getAllNodes(),x=a.getAllEdges();a.removeEdges(x.map(b=>b.id)),a.removeNodes(y.map(b=>b.id)),this.context={}}}var Yv=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class OH{constructor(a){this.elementMap={},this.shapeTypeMap={},this.paletteStyle={},this.defaultStyle={},this.stateStyle={},this.visibilityCache=new 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me=yield z.simulate();re&&this.alignLayoutResultToElement(me,a),b.updateData(me),this.computeStyle("expand");const Ae=this.computeChangesAndDrawData({stage:"collapse",animation:ee});if(!Ae)return;const{drawData:Te}=Ae,{update:Fe}=Te,Ue={animation:ee,stage:"expand",data:Te};fe.edges.forEach(je=>Fe.edges.set(_r(je),je)),fe.nodes.forEach(je=>Fe.nodes.set(_r(je),je)),this.updateElements(Fe,Ue),yield(x=this.context.animation.animate(ee,{beforeAnimate:je=>this.emit(new hd(ci.BEFORE_ANIMATE,Ec.EXPAND,je,Te),Ue),afterAnimate:je=>this.emit(new hd(ci.AFTER_ANIMATE,Ec.EXPAND,je,Te),Ue)},{expand:{target:a,descendants:Array.from(fe.nodes).map(([,je])=>_r(je)),position:ae}}))===null||x===void 0?void 0:x.finished})}collapseCombo(a,y){return Yv(this,void 0,void 0,function*(){var x;const{model:b,element:z}=this.context;if(b.getAncestorsData(a,rl).some(Ue=>xc(Ue)))return;const 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Object.assign(E,{[x3]:!0})}function tee(E,a=globalThis,y="*"){return{postMessage:(x,b)=>E.postMessage(x,y,b),addEventListener:a.addEventListener.bind(a),removeEventListener:a.removeEventListener.bind(a)}}function S1(E){for(const[a,y]of C3)if(y.canHandle(E)){const[x,b]=y.serialize(E);return[{type:"HANDLER",name:a,value:x},b]}return[{type:"RAW",value:E},L3.get(E)||[]]}function Bg(E){switch(E.type){case"HANDLER":return C3.get(E.name).deserialize(E.value);case"RAW":return E.value}}function O0(E,a,y,x){return new Promise(b=>{const z=jH();a.set(z,b),E.start&&E.start(),E.postMessage(Object.assign({id:z},y),x)})}function jH(){return new Array(4).fill(0).map(()=>Math.floor(Math.random()*Number.MAX_SAFE_INTEGER).toString(16)).join("-")}class GH extends iy{constructor(a,y,x){super(),this.graph=a,this.layout=y,this.options=x,this.spawnWorker()}spawnWorker(){this.proxy=M3(new Worker(new URL(Oe.p+Oe.u(3611),Oe.b),{type:void 0})),this.running&&(this.running=!1,this.execute())}execute(){var 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E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{const me=_r(fe),Ae=ae.nodes.get(me);re.syncNodeLikeDatum(fe),Ae&&Object.assign(Ae.style,fe.style)}),(b=se==null?void 0:se.edges)===null||b===void 0||b.forEach(fe=>{const me=_r(fe),Ae=ae.edges.get(me);re.syncEdgeDatum(fe),Ae&&Object.assign(Ae.style,fe.style)}),(z=se==null?void 0:se.combos)===null||z===void 0||z.forEach(fe=>{const me=_r(fe),Ae=ae.combos.get(me);re.syncNodeLikeDatum(fe),Ae&&Object.assign(Ae.style,fe.style)}),du(ee,new nu(ci.AFTER_LAYOUT,{type:"pre"})),this.transformDataAfterLayout("pre",a)})}postLayout(){return T0(this,arguments,void 0,function*(a=this.options){if(!a)return;const y=Array.isArray(a)?a:[a],{graph:x}=this.context;du(x,new nu(ci.BEFORE_LAYOUT,{type:"post"}));for(let b=0;bb.afterLayout(a,y))}simulate(){return T0(this,void 0,void 0,function*(){if(!this.options)return{};const a=Array.isArray(this.options)?this.options:[this.options];let y={};for(let x=0;x{this.updateElementPosition(se,!1)}}):(re.execute(a),re.stop(),re.tick(ee));const ae=yield re.execute(a);if(b){const se=this.updateElementPosition(ae,b);yield se==null?void 0:se.finished}return ae})}treeLayout(a,y,x){return T0(this,void 0,void 0,function*(){const{type:b,animation:z}=y,ee=If("layout",b);if(!ee)return{};const{nodes:re=[],edges:ae=[]}=a,se=new Zl({nodes:re.map(Fe=>({id:_r(Fe),data:Fe.data||{}})),edges:ae.map(Fe=>({id:_r(Fe),source:Fe.source,target:Fe.target,data:Fe.data||{}}))});IH(se);const fe={nodes:[],edges:[]},me={nodes:[],edges:[]};se.getRoots(Fc).forEach(Fe=>{yg(Fe,Je=>{Je.children=se.getSuccessors(Je.id)},Je=>se.getSuccessors(Je.id),"TB");const Ue=ee(Fe,y),{x:je,y:Ke,z:Ze=0}=Ue;yg(Ue,Je=>{const{id:tt,x:at,y:st,z:ft=0}=Je;fe.nodes.push({id:tt,style:{x:je,y:Ke,z:Ze}}),me.nodes.push({id:tt,style:{x:at,y:st,z:ft}})},Je=>Je.children,"TB")});const Te=this.inferTreeLayoutOffset(me);if(O3(me,Te),z){O3(fe,Te),this.updateElementPosition(fe,!1);const Fe=this.updateElementPosition(me,z);yield Fe==null?void 0:Fe.finished}return me})}inferTreeLayoutOffset(a){var y;let[x,b]=[1/0,-1/0],[z,ee]=[1/0,-1/0];(y=a.nodes)===null||y===void 0||y.forEach(Ue=>{const{x:je=0,y:Ke=0}=Ue.style||{};x=Math.min(x,je),b=Math.max(b,je),z=Math.min(z,Ke),ee=Math.max(ee,Ke)});const{canvas:re}=this.context,ae=re.getSize(),[se,fe]=re.getCanvasByViewport([0,0]),[me,Ae]=re.getCanvasByViewport(ae);if(x>=se&&b<=me&&z>=fe&&ee<=Ae)return[0,0];const Te=(se+me)/2,Fe=(fe+Ae)/2;return[Te-(x+b)/2,Fe-(z+ee)/2]}stopLayout(){this.instance&&yx(this.instance)&&(this.instance.stop(),this.instance=void 0),this.supervisor&&(this.supervisor.stop(),this.supervisor=void 0),this.animationResult&&(this.animationResult.finish(),this.animationResult=void 0)}getLayoutData(a){const{nodeFilter:y=()=>!0,preLayout:x=!1,isLayoutInvisibleNodes:b=!1}=a,{nodes:z,edges:ee,combos:re}=this.context.model.getData(),{element:ae,model:se}=this.context,fe=Ue=>ae.getElement(Ue),me=x?Ue=>{var je;return!b&&(((je=Ue.style)===null||je===void 0?void 0:je.visibility)==="hidden"||se.getAncestorsData(Ue.id,Fc).some(xc)||se.getAncestorsData(Ue.id,rl).some(xc))?!1:y(Ue)}:Ue=>{const je=_r(Ue),Ke=fe(je);return!Ke||qp(Ke)?!1:y(Ue)},Ae=z.filter(me),Te=new Map(Ae.map(Ue=>[_r(Ue),Ue]));re.forEach(Ue=>Te.set(_r(Ue),Ue));const Fe=ee.filter(({source:Ue,target:je})=>Te.has(Ue)&&Te.has(je));return{nodes:Ae,edges:Fe,combos:re}}initGraphLayout(a){var y;const{element:x,viewport:b}=this.context,{type:z,enableWorker:ee,animation:re,iterations:ae}=a,se=VH(a,["type","enableWorker","animation","iterations"]),[fe,me]=b.getCanvasSize(),Ae=[fe/2,me/2],Te=(y=a==null?void 0:a.nodeSize)!==null&&y!==void 0?y:Ze=>{const Je=x==null?void 0:x.getElement(Ze.id);return Je?Je.attributes.size:x==null?void 0:x.getElementComputedStyle("node",Ze).size},Fe=If("layout",z);if(!Fe)return Ac.warn(`The layout of ${z} is not registered.`);const Ue=Object.getPrototypeOf(Fe.prototype)===sy.prototype?Fe:vk(Fe,this.context),je=new Ue(this.context),Ke={nodeSize:Te,width:fe,height:me,center:Ae};switch(je.id){case"d3-force":case"d3-force-3d":Object.assign(Ke,{center:{x:fe/2,y:me/2,z:0}});break;default:break}return nc(je.options,Ke,se),je}updateElementPosition(a,y){const{model:x,element:b}=this.context;return b?(x.updateData(a),b.draw({animation:y,silence:!0})):null}destroy(){var a;this.stopLayout(),this.context={},(a=this.supervisor)===null||a===void 0||a.kill(),this.supervisor=void 0,this.instance=void 0,this.instances=[],this.animationResult=void 0}}const O3=(E,a)=>{var y;const[x,b]=a;(y=E.nodes)===null||y===void 0||y.forEach(z=>{if(z.style){const{x:ee=0,y:re=0}=z.style;z.style.x=ee+x,z.style.y=re+b}else z.style={x,y:b}})};function KH(E){return[ZH].reduce((y,x)=>x(y),E)}function ZH(E){return!E.layout||Array.isArray(E.layout)||"preLayout"in E.layout||["antv-dagre","combo-combined","compact-box","circular","concentric","dagre","fishbone","grid","indented","mds","radial","random","snake","dendrogram","mindmap"].includes(E.layout.type)&&(E.layout.preLayout=!0),E}class QH extends bA{constructor(a){super(a),this.category="plugin",this.setPlugins(this.context.options.plugins||[])}setPlugins(a){this.setExtensions(a)}getPluginInstance(a){const y=this.extensionMap[a];if(y)return y;Ac.warn(`Cannot find the plugin ${a}, will try to find it by type.`);const x=this.extensions.find(b=>b.type===a);if(x)return this.extensionMap[x.key]}}const b1=["update-related-edges","collapse-expand-node","collapse-expand-combo","get-edge-actual-ends","arrange-draw-order"];class YH extends bA{constructor(a){super(a),this.category="transform",this.setTransforms(this.context.options.transforms||[])}getTransforms(){}setTransforms(a){this.setExtensions([...b1.slice(0,b1.length-1),...a,b1[b1.length-1]])}getTransformInstance(a){return a?this.extensionMap[a]:this.extensionMap}}var Xv=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class XH{get padding(){return Ld(this.context.options.padding)}get paddingOffset(){const[a,y,x,b]=this.padding,[z,ee,re]=[(b-y)/2,(a-x)/2,0];return[z,ee,re]}constructor(a){this.landmarkCounter=0,this.context=a;const[y,x]=this.paddingOffset,{zoom:b,rotation:z,x:ee=y,y:re=x}=a.options;this.transform({mode:"absolute",scale:b,translate:[ee,re],rotate:z},!1)}get camera(){const{canvas:a}=this.context;return new Proxy(a.getCamera(),{get:(y,x)=>{const z=Object.entries(a.getLayers()).filter(([re])=>!["main"].includes(re)).map(([,re])=>re.getCamera()),ee=y[x];if(typeof ee=="function")return(...re)=>{const ae=ee.apply(y,re);return z.forEach(se=>{se[x].apply(se,re)}),ae}}})}createLandmark(a){return this.camera.createLandmark(`landmark-${this.landmarkCounter++}`,a)}getAnimation(a){const y=JP(this.context.options,a);return y?xg(Object.assign({},y),["easing","duration"]):!1}getCanvasSize(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y,x]}getCanvasCenter(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y/2,x/2,0]}getViewportCenter(){const[a,y]=this.camera.getPosition();return[a,y,0]}getGraphCenter(){return this.context.graph.getViewportByCanvas(this.getCanvasCenter())}getZoom(){return this.camera.getZoom()}getRotation(){return this.camera.getRoll()}getTranslateOptions(a){const{camera:y}=this,{mode:x,translate:b=[]}=a,z=this.getZoom(),ee=y.getPosition(),re=y.getFocalPoint(),[ae,se]=this.getCanvasCenter(),[fe=0,me=0,Ae=0]=b,Te=Nd([-fe,-me,-Ae],z);return x==="relative"?{position:ko(ee,Te),focalPoint:ko(re,Te)}:{position:ko([ae,se,ee[2]],Te),focalPoint:ko([ae,se,re[2]],Te)}}getRotateOptions(a){const{mode:y,rotate:x=0}=a;return{roll:y==="relative"?this.camera.getRoll()+x:x}}getZoomOptions(a){const{zoomRange:y}=this.context.options,x=this.camera.getZoom(),{mode:b,scale:z=1}=a;return bl(b==="relative"?x*z:z,...y)}transform(a,y){return Xv(this,void 0,void 0,function*(){const{graph:x}=this.context,{translate:b,rotate:z,scale:ee,origin:re}=a;this.cancelAnimation();const ae=this.getAnimation(y);if(du(x,new m1(ci.BEFORE_TRANSFORM,a)),!z&&ee&&!b&&re&&!ae){this.camera.setZoomByViewportPoint(this.getZoomOptions(a),re),du(x,new m1(ci.AFTER_TRANSFORM,a));return}const se={};if(b&&Object.assign(se,this.getTranslateOptions(a)),Oi(z)&&Object.assign(se,this.getRotateOptions(a)),Oi(ee)&&Object.assign(se,{zoom:this.getZoomOptions(a)}),ae)return du(x,new hd(ci.BEFORE_ANIMATE,Ec.TRANSFORM,null,a)),new Promise(fe=>{this.transformResolver=fe,this.camera.gotoLandmark(this.createLandmark(se),Object.assign(Object.assign({},ae),{onfinish:()=>{du(x,new hd(ci.AFTER_ANIMATE,Ec.TRANSFORM,null,a)),du(x,new m1(ci.AFTER_TRANSFORM,a)),this.transformResolver=void 0,fe()}}))});this.camera.gotoLandmark(this.createLandmark(se),{duration:0}),du(x,new m1(ci.AFTER_TRANSFORM,a))})}fitView(a,y){return Xv(this,void 0,void 0,function*(){const[x,b,z,ee]=this.padding,{when:re="always",direction:ae="both"}=a||{},[se,fe]=this.context.canvas.getSize(),me=se-ee-b,Ae=fe-x-z,Te=this.context.canvas.getBounds(),Fe=this.getBBoxInViewport(Te),[Ue,je]=sh(Fe),Ke=ae==="x"&&Ue>=me||ae==="y"&&je>=Ae||ae==="both"&&Ue>=me&&je>=Ae;if(re==="overflow"&&!Ke)return yield this.fitCenter({animation:y});const Ze=me/Ue,Je=Ae/je,tt=ae==="x"?Ze:ae==="y"?Je:Math.min(Ze,Je),at=this.getAnimation(y);yield this.transform({mode:"relative",scale:tt,translate:ko(qs(this.getCanvasCenter(),this.getBBoxInViewport(Te).center),Nd(this.paddingOffset,tt))},at)})}fitCenter(a){return Xv(this,void 0,void 0,function*(){const y=this.context.canvas.getBounds();yield this.focus(y,a)})}focusElements(a){return Xv(this,arguments,void 0,function*(y,x={}){const{element:b}=this.context;if(!b)return;const z=re=>x.shapes?re.getShape(x.shapes).getRenderBounds():re.getRenderBounds(),ee=dv(y.map(re=>z(b.getElement(re))));yield this.focus(ee,x)})}focus(a,y){return Xv(this,void 0,void 0,function*(){const x=this.context.graph.getViewportByCanvas(a.center),b=y.position||this.getCanvasCenter(),z=qs(b,x);yield this.transform({mode:"relative",translate:ko(z,this.paddingOffset)},y.animation)})}getBBoxInViewport(a){const{min:y,max:x}=a,{graph:b}=this.context,[z,ee]=b.getViewportByCanvas(y),[re,ae]=b.getViewportByCanvas(x),se=new il;return se.setMinMax([z,ee,0],[re,ae,0]),se}isInViewport(a,y=!1,x=0){const{graph:b}=this.context,z=this.getCanvasSize(),[ee,re]=b.getCanvasByViewport([0,0]),[ae,se]=b.getCanvasByViewport(z);let fe=new il;return fe.setMinMax([ee,re,0],[ae,se,0]),x&&(fe=uh(fe,x)),c0(a)?Od(a,fe):y?RR(a,fe):fe.intersects(a)}cancelAnimation(){var a,y;!((a=this.camera.landmarks)===null||a===void 0)&&a.length&&this.camera.cancelLandmarkAnimation(),(y=this.transformResolver)===null||y===void 0||y.call(this)}}var sl=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(ee){ee(z)})}return new(y||(y=Promise))(function(z,ee){function re(fe){try{se(x.next(fe))}catch(me){ee(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){ee(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class B0 extends iy{constructor(a){var y;super(),this.options={},this.rendered=!1,this.destroyed=!1,this.context={model:new LH},this.isCollapsingExpanding=!1,this.onResize=wv(()=>{this.resize()},300),this._setOptions(Object.assign({},B0.defaultOptions,a),!0),this.context.graph=this,this.options.autoResize&&((y=globalThis.addEventListener)===null||y===void 0||y.call(globalThis,"resize",this.onResize))}getOptions(){return this.options}setOptions(a){this._setOptions(a,!1)}_setOptions(a,y){if(this.updateCanvas(a),Object.assign(this.options,KH(a)),y){const{data:Ae}=a;Ae&&this.addData(Ae);return}const{behaviors:x,combo:b,data:z,edge:ee,layout:re,node:ae,plugins:se,theme:fe,transforms:me}=a;x&&this.setBehaviors(x),z&&this.setData(z),ae&&this.setNode(ae),ee&&this.setEdge(ee),b&&this.setCombo(b),re&&this.setLayout(re),fe&&this.setTheme(fe),se&&this.setPlugins(se),me&&this.setTransforms(me)}getSize(){return this.context.canvas?this.context.canvas.getSize():[this.options.width||0,this.options.height||0]}setSize(a,y){a&&(this.options.width=a),y&&(this.options.height=y),this.resize(a,y)}setZoomRange(a){this.options.zoomRange=a}getZoomRange(){return this.options.zoomRange}setNode(a){this.options.node=a,this.context.model.refreshData()}setEdge(a){this.options.edge=a,this.context.model.refreshData()}setCombo(a){this.options.combo=a,this.context.model.refreshData()}getTheme(){return this.options.theme}setTheme(a){this.options.theme=Gi(a)?a(this.getTheme()):a}setLayout(a){this.options.layout=Gi(a)?a(this.getLayout()):a}getLayout(){return this.options.layout}setBehaviors(a){var y;this.options.behaviors=Gi(a)?a(this.getBehaviors()):a,(y=this.context.behavior)===null||y===void 0||y.setBehaviors(this.options.behaviors)}updateBehavior(a){this.setBehaviors(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getBehaviors(){return this.options.behaviors||[]}setPlugins(a){var y;this.options.plugins=Gi(a)?a(this.getPlugins()):a,(y=this.context.plugin)===null||y===void 0||y.setPlugins(this.options.plugins)}updatePlugin(a){this.setPlugins(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getPlugins(){return this.options.plugins||[]}getPluginInstance(a){return this.context.plugin.getPluginInstance(a)}setTransforms(a){var y;this.options.transforms=Gi(a)?a(this.getTransforms()):a,(y=this.context.transform)===null||y===void 0||y.setTransforms(this.options.transforms)}updateTransform(a){this.setTransforms(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x)),this.context.model.refreshData()}getTransforms(){return this.options.transforms||[]}getData(){return this.context.model.getData()}getElementData(a){return Array.isArray(a)?a.map(y=>this.context.model.getElementDataById(y)):this.context.model.getElementDataById(a)}getNodeData(a){return a===void 0?this.context.model.getNodeData():Array.isArray(a)?this.context.model.getNodeData(a):this.context.model.getNodeLikeDatum(a)}getEdgeData(a){return a===void 0?this.context.model.getEdgeData():Array.isArray(a)?this.context.model.getEdgeData(a):this.context.model.getEdgeDatum(a)}getComboData(a){return a===void 0?this.context.model.getComboData():Array.isArray(a)?this.context.model.getComboData(a):this.context.model.getNodeLikeDatum(a)}setData(a){this.context.model.setData(Gi(a)?a(this.getData()):a)}addData(a){this.context.model.addData(Gi(a)?a(this.getData()):a)}addNodeData(a){this.context.model.addNodeData(Gi(a)?a(this.getNodeData()):a)}addEdgeData(a){this.context.model.addEdgeData(Gi(a)?a(this.getEdgeData()):a)}addComboData(a){this.context.model.addComboData(Gi(a)?a(this.getComboData()):a)}addChildrenData(a,y){this.context.model.addChildrenData(a,y)}updateData(a){this.context.model.updateData(Gi(a)?a(this.getData()):a)}updateNodeData(a){this.context.model.updateNodeData(Gi(a)?a(this.getNodeData()):a)}updateEdgeData(a){this.context.model.updateEdgeData(Gi(a)?a(this.getEdgeData()):a)}updateComboData(a){this.context.model.updateComboData(Gi(a)?a(this.getComboData()):a)}removeData(a){this.context.model.removeData(Gi(a)?a(this.getData()):a)}removeNodeData(a){this.context.model.removeNodeData(Gi(a)?a(this.getNodeData()):a)}removeEdgeData(a){this.context.model.removeEdgeData(Gi(a)?a(this.getEdgeData()):a)}removeComboData(a){this.context.model.removeComboData(Gi(a)?a(this.getComboData()):a)}getElementType(a){return this.context.model.getElementType(a)}getRelatedEdgesData(a,y="both"){return this.context.model.getRelatedEdgesData(a,y)}getNeighborNodesData(a){return this.context.model.getNeighborNodesData(a)}getAncestorsData(a,y){return this.context.model.getAncestorsData(a,y)}getParentData(a,y){return this.context.model.getParentData(a,y)}getChildrenData(a){return this.context.model.getChildrenData(a)}getDescendantsData(a){return this.context.model.getDescendantsData(a)}getElementDataByState(a,y){return this.context.model.getElementDataByState(a,y)}initCanvas(){return sl(this,void 0,void 0,function*(){var a;if(this.context.canvas)return yield this.context.canvas.ready;const{container:y="container",width:x,height:b,renderer:z,cursor:ee,background:re,canvas:ae,devicePixelRatio:se=(a=globalThis.devicePixelRatio)!==null&&a!==void 0?a:1}=this.options;if(y instanceof v3)this.context.canvas=y,ee&&y.setCursor(ee),z&&y.setRenderer(z),yield y.ready;else{const fe=Ls(y)?document.getElementById(y):y,me=y3(fe);this.emit(ci.BEFORE_CANVAS_INIT,{container:fe,width:x,height:b});const Ae=Object.assign(Object.assign({},ae),{container:fe,width:x||me[0],height:b||me[1],background:re,renderer:z,cursor:ee,devicePixelRatio:se}),Te=new v3(Ae);this.context.canvas=Te,yield Te.ready,this.emit(ci.AFTER_CANVAS_INIT,{canvas:Te})}})}updateCanvas(a){var y,x;const{renderer:b,cursor:z,height:ee,width:re}=a,ae=this.context.canvas;ae&&(b&&(this.emit(ci.BEFORE_RENDERER_CHANGE,{renderer:this.options.renderer}),ae.setRenderer(b),this.emit(ci.AFTER_RENDERER_CHANGE,{renderer:b})),z&&ae.setCursor(z),(Oi(re)||Oi(ee))&&this.setSize((y=re!=null?re:this.options.width)!==null&&y!==void 0?y:0,(x=ee!=null?ee:this.options.height)!==null&&x!==void 0?x:0))}initRuntime(){this.context.options=this.options,this.context.batch||(this.context.batch=new PH(this.context)),this.context.plugin||(this.context.plugin=new QH(this.context)),this.context.viewport||(this.context.viewport=new XH(this.context)),this.context.transform||(this.context.transform=new YH(this.context)),this.context.element||(this.context.element=new OH(this.context)),this.context.animation||(this.context.animation=new CH(this.context)),this.context.layout||(this.context.layout=new HH(this.context)),this.context.behavior||(this.context.behavior=new wH(this.context))}prepare(){return sl(this,void 0,void 0,function*(){if(yield Promise.resolve(),this.destroyed)throw new Error(Lf("The graph instance has been destroyed"));yield this.initCanvas(),this.initRuntime()})}render(){return sl(this,void 0,void 0,function*(){if(yield this.prepare(),du(this,new nu(ci.BEFORE_RENDER)),this.options.layout)if(!this.rendered&&gk(this.options.layout)){const a=yield this.context.element.preLayoutDraw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.context.layout.postLayout()]),yield this.autoFit()}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}this.rendered=!0,du(this,new nu(ci.AFTER_RENDER))})}draw(){return sl(this,void 0,void 0,function*(){var a;yield this.prepare(),yield(a=this.context.element.draw())===null||a===void 0?void 0:a.finished})}layout(a){return sl(this,void 0,void 0,function*(){yield this.context.layout.postLayout(a)})}stopLayout(){this.context.layout.stopLayout()}clear(){return sl(this,void 0,void 0,function*(){const{model:a,element:y}=this.context;a.setData({}),a.clearChanges(),y==null||y.clear()})}destroy(){var a;du(this,new nu(ci.BEFORE_DESTROY));const{layout:y,animation:x,element:b,model:z,canvas:ee,behavior:re,plugin:ae}=this.context;ae==null||ae.destroy(),re==null||re.destroy(),y==null||y.destroy(),x==null||x.destroy(),b==null||b.destroy(),z.destroy(),ee==null||ee.destroy(),this.options={},this.context={},this.off(),(a=globalThis.removeEventListener)===null||a===void 0||a.call(globalThis,"resize",this.onResize),this.destroyed=!0,du(this,new nu(ci.AFTER_DESTROY))}getCanvas(){return this.context.canvas}resize(a,y){var x;const b=y3((x=this.context.canvas)===null||x===void 0?void 0:x.getContainer()),z=[a||b[0],y||b[1]];if(!this.context.canvas)return;const ee=this.context.canvas.getSize();Vl(z,ee)||(du(this,new nu(ci.BEFORE_SIZE_CHANGE,{size:z})),this.context.canvas.resize(...z),du(this,new nu(ci.AFTER_SIZE_CHANGE,{size:z})))}fitView(a,y){return sl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.fitView(a,y)})}fitCenter(a){return sl(this,void 0,void 0,function*(){var y;yield(y=this.context.viewport)===null||y===void 0?void 0:y.fitCenter({animation:a})})}autoFit(){return sl(this,void 0,void 0,function*(){const{autoFit:a}=this.context.options;if(a)if(Ls(a))a==="view"?yield this.fitView():a==="center"&&(yield this.fitCenter());else{const{type:y,animation:x}=a;y==="view"?yield this.fitView(a.options,x):y==="center"&&(yield this.fitCenter(x))}})}focusElement(a,y){return sl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.focusElements(Array.isArray(a)?a:[a],{animation:y})})}zoomBy(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",scale:a,origin:x},y)})}zoomTo(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",scale:a,origin:x},y)})}getZoom(){return this.context.viewport.getZoom()}rotateBy(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",rotate:a,origin:x},y)})}rotateTo(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",rotate:a,origin:x},y)})}getRotation(){return this.context.viewport.getRotation()}translateBy(a,y){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",translate:a},y)})}translateTo(a,y){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",translate:a},y)})}getPosition(){return qs([0,0],this.getCanvasByViewport([0,0]))}translateElementBy(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=jl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeBy(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}translateElementTo(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=jl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeTo(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}getElementPosition(a){return this.context.model.getElementPosition(a)}getElementRenderStyle(a){return wx(this.context.element.getElement(a).attributes,["context"])}setElementVisibility(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=jl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z],fe={nodes:[],edges:[],combos:[]};Object.entries(ae).forEach(([Te,Fe])=>{const Ue=this.getElementType(Te);fe[`${Ue}s`].push({id:Te,style:{visibility:Fe}})});const{model:me,element:Ae}=this.context;me.preventUpdateNodeLikeHierarchy(()=>{me.updateData(fe)}),yield(re=Ae.draw({animation:se,stage:"visibility"}))===null||re===void 0?void 0:re.finished})}showElement(a,y){return sl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"visible"])),y)})}hideElement(a,y){return sl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"hidden"])),y)})}getElementVisibility(a){var y,x;const b=this.context.element.getElement(a);return(x=(y=b==null?void 0:b.style)===null||y===void 0?void 0:y.visibility)!==null&&x!==void 0?x:"visible"}setElementZIndex(a,y){return sl(this,void 0,void 0,function*(){var x;const b={nodes:[],edges:[],combos:[]},z=jl(a)?a:{[a]:y};Object.entries(z).forEach(([ae,se])=>{const fe=this.getElementType(ae);b[`${fe}s`].push({id:ae,style:{zIndex:se}})});const{model:ee,element:re}=this.context;ee.preventUpdateNodeLikeHierarchy(()=>ee.updateData(b)),yield(x=re.draw({animation:!1,stage:"zIndex"}))===null||x===void 0?void 0:x.finished})}frontElement(a){return sl(this,void 0,void 0,function*(){const y=Array.isArray(a)?a:[a],{model:x}=this.context,b={};y.map(z=>{const ee=x.getFrontZIndex(z);if(x.getElementType(z)==="combo"){const ae=x.getAncestorsData(z,rl).at(-1)||this.getComboData(z),se=[ae,...x.getDescendantsData(_r(ae))],fe=ee-E3(ae);se.forEach(Ae=>{b[_r(Ae)]=this.getElementZIndex(_r(Ae))+fe});const{internal:me}=QA(se.map(_r),Ae=>x.getRelatedEdgesData(Ae));me.forEach(Ae=>{const Te=_r(Ae);b[Te]=this.getElementZIndex(Te)+fe})}else b[z]=ee}),yield this.setElementZIndex(b)})}getElementZIndex(a){return E3(this.context.model.getElementDataById(a))}setElementState(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var ee,re;const[ae,se]=jl(x)?[x,(ee=b)!==null&&ee!==void 0?ee:!0]:[{[x]:b},z],fe=Ae=>Ae?Array.isArray(Ae)?Ae:[Ae]:[],me={nodes:[],edges:[],combos:[]};Object.entries(ae).forEach(([Ae,Te])=>{const Fe=this.getElementType(Ae);me[`${Fe}s`].push({id:Ae,states:fe(Te)})}),this.updateData(me),yield(re=this.context.element.draw({animation:se,stage:"state"}))===null||re===void 0?void 0:re.finished})}getElementState(a){return this.context.model.getElementState(a)}getElementRenderBounds(a){return this.context.element.getElement(a).getRenderBounds()}collapseElement(a){return sl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const ee=b.getElementType(y);yield this.frontElement(y),this.isCollapsingExpanding=!0,this.setElementCollapsibility(y,!0),ee==="node"?yield z.collapseNode(y,x):ee==="combo"&&(yield z.collapseCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}expandElement(a){return sl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(!xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const ee=b.getElementType(y);this.isCollapsingExpanding=!0,this.setElementCollapsibility(y,!1),ee==="node"?yield z.expandNode(y,x):ee==="combo"&&(yield z.expandCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}setElementCollapsibility(a,y){const x=this.getElementType(a);x==="node"?this.updateNodeData([{id:a,style:{collapsed:y}}]):x==="combo"&&this.updateComboData([{id:a,style:{collapsed:y}}])}toDataURL(){return sl(this,arguments,void 0,function*(a={}){return this.context.canvas.toDataURL(a)})}getCanvasByViewport(a){return this.context.canvas.getCanvasByViewport(a)}getViewportByCanvas(a){return this.context.canvas.getViewportByCanvas(a)}getClientByCanvas(a){return this.context.canvas.getClientByCanvas(a)}getCanvasByClient(a){return this.context.canvas.getCanvasByClient(a)}getViewportCenter(){return this.context.viewport.getViewportCenter()}getCanvasCenter(){return this.context.viewport.getCanvasCenter()}on(a,y,x){return super.on(a,y,x)}once(a,y){return super.once(a,y)}off(a,y){return super.off(a,y)}}B0.defaultOptions={autoResize:!1,theme:"light",rotation:0,zoom:1,zoomRange:[.01,10]};var JH=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b{if(re.depth=ae,!re.children)return re;const{children:se}=re,fe=JH(re,["children"]);return Object.assign(Object.assign({},fe),{children:se.map(me=>me.id)})},getEdgeData:x=(re,ae)=>({source:re.id,target:ae.id}),getChildren:b=re=>re.children||[]}=a||{},z=[],ee=[];return yg(E,(re,ae)=>{z.push(y(re,ae));const se=b(re);for(const fe of se)ee.push(x(re,fe))},re=>b(re),"TB"),{nodes:z,edges:ee}}class qH extends Ph{beforeDraw(a){const{add:y,update:x}=a,{model:b}=this.context;return[...y.edges.entries(),...x.edges.entries()].forEach(([,z])=>{T3(b,z)}),a}}const T3=(E,a)=>{const{source:y,target:x}=a,b=E.getElementDataById(y),z=E.getElementDataById(x),ee=zw(b,me=>E.getParentData(me,rl)),re=zw(z,me=>E.getParentData(me,rl)),ae=_r(ee),se=_r(re),fe={sourceNode:ae,targetNode:se};return a.style?Object.assign(a.style,fe):a.style=fe,a},$H=(E,a,y)=>{const[x,b]=a,[z,ee]=y;if(b===x)return z;const re=(E-x)/(b-x);return z+re*(ee-z)},eK=(E,a,y)=>{const[x,b]=a,[z,ee]=y,re=Math.log(E-x+1)/Math.log(b-x+1);return z+re*(ee-z)},tK=(E,a,y,x=2)=>{const[b,z]=a,[ee,re]=y,ae=Math.pow((E-b)/(z-b),x);return ee+ae*(re-ee)},nK=(E,a,y)=>{const[x,b]=a,[z,ee]=y,re=Math.sqrt((E-x)/(b-x));return z+re*(ee-z)};class C1 extends Ph{constructor(a,y){super(a,nc({},C1.defaultOptions,y)),this.assignSizeByCentrality=(x,b,z,ee,re,ae)=>{const se=[b,z],fe=[ee[0],re[0]],me=[ee[1],re[1]],Ae=[ee[2],re[2]],Te=(Fe,Ue)=>{if(typeof ae=="function")return ae(Fe,se,Ue);switch(ae){case"linear":return $H(Fe,se,Ue);case"log":return eK(Fe,se,Ue);case"pow":return tK(Fe,se,Ue,2);case"sqrt":return nK(Fe,se,Ue);default:return Ue[0]}};return[Te(x,fe),Te(x,me),Te(x,Ae)]}}beforeDraw(a){const{model:y}=this.context,x=y.getNodeData(),b=zc(this.options.maxSize),z=zc(this.options.minSize),ee=this.getCentralities(this.options.centrality),re=ee.size>0?Math.max(...ee.values()):0,ae=ee.size>0?Math.min(...ee.values()):0;return x.forEach(se=>{var fe;const me=this.assignSizeByCentrality(ee.get(_r(se))||0,ae,re,z,b,this.options.scale),Ae=(fe=this.context.element)===null||fe===void 0?void 0:fe.getElement(_r(se)),Te={size:me};this.assignLabelStyle(Te,me,se,Ae),(!Ae||!g1(Te,Ae.attributes))&&Vc(a,Ae?"update":"add","node",nc(se,{style:Te}),!0)}),a}assignLabelStyle(a,y,x,b){var z;const ee=b?b.config.style:(z=this.context.element)===null||z===void 0?void 0:z.getElementComputedStyle("node",x);if(Object.assign(a,xg(ee,["labelFontSize","labelLineHeight"])),this.options.mapLabelSize){const re=this.getLabelSizeByNodeSize(y,1/0,Number(a.labelFontSize));Object.assign(a,{labelFontSize:re,labelLineHeight:re+NR(a.labelPadding)})}return a}getLabelSizeByNodeSize(a,y,x){const b=Math.min(...a)/2,[z,ee]=Array.isArray(this.options.mapLabelSize)?this.options.mapLabelSize:[x,y];return Math.min(ee,Math.max(b,z))}getCentralities(a){const{model:y}=this.context,x=y.getData();if(typeof a=="function")return a(x);const b=y.getRelatedEdgesData.bind(y);return j2(x,b,a)}}C1.defaultOptions={centrality:{type:"degree"},maxSize:80,minSize:20,scale:"linear",mapLabelSize:!1};class P1 extends Ph{constructor(a,y){super(a,Object.assign({},P1.defaultOptions,y))}get ref(){return this.context.model.getRootsData()[0]}afterLayout(){var a;const y=uu(this.ref),{graph:x,model:b}=this.context;(a=b.getData().nodes)===null||a===void 0||a.forEach(ee=>{var re;if(_r(ee)===_r(this.ref))return;const ae=K2(qs(uu(ee),y)),se=Math.abs(ae)>Math.PI/2,fe=!ee.children||ee.children.length===0,me=_r(ee),Ae=(re=this.context.element)===null||re===void 0?void 0:re.getElement(me);if(!Ae||!Ae.isVisible())return;const Te=zc(x.getElementRenderStyle(me).size)[0]/2,Fe=(fe?1:-1)*(Te+this.options.offset),Ue=[["translate",Fe*Math.cos(ae),Fe*Math.sin(ae)],["rotate",se?vc(ae)+180:vc(ae)]];b.updateNodeData([{id:_r(ee),style:{labelTextAlign:se===fe?"right":"left",labelTextBaseline:"middle",labelTransform:Ue}}])}),x.draw()}}P1.defaultOptions={offset:5};const rK="quadratic",B3=["top","top-right","right","right-bottom","bottom","bottom-left","left","left-top"];class w1 extends Ph{constructor(a,y){super(a,Object.assign({},w1.defaultOptions,y)),this.cacheMergeStyle=new Map,this.getAffectedParallelEdges=x=>{const{add:{edges:b},update:{nodes:z,edges:ee,combos:re},remove:{edges:ae}}=x,{model:se}=this.context,fe=new Map,me=(Fe,Ue)=>{se.getRelatedEdgesData(Ue).forEach(Ke=>!fe.has(_r(Ke))&&fe.set(_r(Ke),Ke))};z.forEach(me),re.forEach(me);const Ae=Fe=>{const Ue=se.getEdgeData().map(Ke=>T3(se,Ke));aK(Fe,Ue,!0).forEach(Ke=>!fe.has(_r(Ke))&&fe.set(_r(Ke),Ke))};if(ae.size&&ae.forEach(Ae),b.size&&b.forEach(Ae),ee.size){const Fe=LM(Tx(se.getChanges())).update.edges;ee.forEach(Ue=>{var je;Ae(Ue);const Ke=(je=Fe.find(Ze=>_r(Ze.value)===_r(Ue)))===null||je===void 0?void 0:je.original;Ke&&!PS(Ue,Ke)&&Ae(Ke)})}cf(this.options.edges)||fe.forEach((Fe,Ue)=>!this.options.edges.includes(Ue)&&fe.delete(Ue));const Te=se.getEdgeData().map(_r);return new Map([...fe].sort((Fe,Ue)=>Te.indexOf(Fe[0])-Te.indexOf(Ue[0])))},this.applyBundlingStyle=(x,b,z)=>{const{edgeMap:ee,reverses:re}=N3(b);ee.forEach(ae=>{ae.forEach((se,fe,me)=>{var Ae;const Te=me.length,Fe=se.style||{};if(se.source===se.target){const Ke=B3.length;Fe.loopPlacement=B3[fe%Ke],Fe.loopDist=Math.floor(fe/Ke)*z+50}else if(Te===1)Fe.curveOffset=0;else{const Ke=(fe%2===0?1:-1)*(re[`${se.source}|${se.target}|${fe}`]?-1:1);Fe.curveOffset=Te%2===1?Ke*Math.ceil(fe/2)*z*2:Ke*(Math.floor(fe/2)*z*2+z)}const Ue=Object.assign(se,{type:rK,style:Fe}),je=(Ae=this.context.element)===null||Ae===void 0?void 0:Ae.getElement(_r(se));(!je||!g1(Ue.style,je.attributes))&&Vc(x,je?"update":"add","edge",Ue,!0)})})},this.resetEdgeStyle=x=>{const b=x.style||{},z=this.cacheMergeStyle.get(_r(x))||{};return Object.keys(z).forEach(ee=>{Vl(b[ee],z[ee])&&(x[ee]?b[ee]=x[ee]:delete b[ee])}),Object.assign(x,{style:b})},this.applyMergingStyle=(x,b)=>{const{edgeMap:z,reverses:ee}=N3(b);z.forEach(re=>{var ae;if(re.length===1){const fe=re[0],me=(ae=this.context.element)===null||ae===void 0?void 0:ae.getElement(_r(fe)),Ae=this.resetEdgeStyle(fe);(!me||!g1(Ae,me.attributes))&&Vc(x,me?"update":"add","edge",Ae);return}const se=re.map(({source:fe,target:me,style:Ae={}},Te)=>{const{startArrow:Fe,endArrow:Ue}=Ae,je={},[Ke,Ze]=ee[`${fe}|${me}|${Te}`]?["endArrow","startArrow"]:["startArrow","endArrow"];return H0(Fe)&&(je[Ke]=Fe),H0(Ue)&&(je[Ze]=Ue),je}).reduce((fe,me)=>Object.assign(Object.assign({},fe),me),{});re.forEach((fe,me,Ae)=>{var Te;if(me!==0){Vc(x,"remove","edge",fe);return}const Fe=Object.assign({},Gi(this.options.style)?this.options.style(Ae):this.options.style,{childrenData:Ae});this.cacheMergeStyle.set(_r(fe),Fe);const Ue=Object.assign(Object.assign({},fe),{type:"line",style:Object.assign(Object.assign(Object.assign({},fe.style),se),Fe)}),je=(Te=this.context.element)===null||Te===void 0?void 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hklFfymQZS+uc6W80OWg1Cawzxq8B+Ndu77ONsKCBhjK2yD1zRb5gG8CAdlQDRiy+ywSMZg2QQJINz1tu9+CIbdPhPGMwylaJUq+THNoBW/wO186C9814AJPoML730kvZdzp8/T8tN94sq4Pz585IF8NJLL1G5efzz7m8l+ZEOS3XYyCLa0H5WtI0qOmYpDzLwDKrDDe0oP/jBD2z+wQ/6IlX99dMAGRyuXbuGX3jhBWSSGlm/mf2Lj0HRmLN+LxBJquQzRSj6J4BkbNe1bqQNBSSMsX3hwgXlGc7Rdz7H/jH+LlzQ3zLVS+gNFWN2lfzi+r8Azp07h8QOrAOidBvLbXfu3DmtN7vfemrP6JdPv/Xuc/lbF5B+9KMfOecUBLl06VImSJ45cyZzKYbXV+lMfIvS8U5WyTfqH1+4wHxAeYNJ2VH2gjL6qH2G8+NklfyyGpbopQFmIE59VN5oC8nhjsxLl/jTx3/QgjNnzmhfK6Fntw1kcd1LaoXoDudfyR9c/6qOy4J9H/03s0olXx488gZ7osyPP/4Y/dEf/VG42m1RlN+GAtLFixfdZrO5ps9w7NgxyaK6du3amspTFb9V5KvvWbQDVnT3nAaIhbQ1AQlj7HIL6do1uWGOHdM31DWF8JiJUKmexz/vPmdXyZcbSqd/VUfFPzne6EpnKMiAP0slvz/9AXAMHDsGwi0NSB9++GEVi1Twg7tfyQ4fPixZqR9++CG1Uk3lpvcsS8/5VPKL6//WrVvh888/H2xUX1vX6Yv6klevXq0NDQ1RQDp06FCpbQoffihzO3w4W4UfKhUORxWuX79OdVDJH0z/AJAG4Y2gNM669e5KPlN1//rf4oCEa0ND1ysLad0+2EpQpYFsDczOzoZnz571N0pPG2ohffDBB3XHOSw9g+PcWtNnCoKxTEuskt+//oMgMOj2UE7/vm643289lV2/fPqtd//K3/KA1Gg01slCGlN6ya11HgS2uvz+1X3zplx3fLx/Xv3U3Eryx8bGAgjh1rSQPvnkk0a9XqeAdOcO6yr79u2XRlnbntBaTJyed7ADB7K7mkqv1qvkD67/MORtpwf7yUlb25b79oWKZaWCN3u2yUnWF9L0vDV5vUq+7msoov8KkCJAMsHJ9PQ07YR79+4t5PSenrYielSIPm/ErOSX03+ePqv797YG5ufng+PHj3sb9ZRr6q/Jeyn8CW5MNidtNvrJ1Pv26Wvn0Znup8o5+0hOHl9Onke3VeWL7713rzwY8EFCbdGidKZ+xOur/IvyLUq3leQ7zj7/+HG4NQHp5s2bzaWlOgWk5DdtaP+9tHz3brmzz84yiwgAtZ6JflYBYUZXyeca6F//u3fvLmWV5oF73oA26P1KftoI2Ldvnw/hFgakep0B0rThO9ir4kWkQ5We05n4pEdnBYYq+drvu6j+BwWHcvX1g085HoNQb175tdqif+TIkd4g2hmk7oZO2S5evDO0bduSYiHtjt5ndpD3GqBuJZ8pr7z+d+3aJVlIc3NztH+p5QM0Tqmqlfzy+l9c3OsfOQK3JiDduXNnaGnJVQCJ9bndHBc4PJX8Pqr68rc7uy76U4UojVgKTvohruTLWiuv/3p9xX/kkUe6/Wh/NepsqIX01lt3h4eGlhVA2qW811zJ9+T11XoqX842j66SX7QBwnAHtZAWFhZov1IHhTw+vD6ns23Gx1Su8qvkD67/LQ9Ivt8iOZHA6ChTpvpbXGSdUv2p9CY6Xi+Pf979Sr6sAZ3+0zrMA/s8iBr0fiVf1qBpUE6oHGeX98gjcGtaSHfv3h1utRggAbAz0sq80gtN5abOyun5fZVfXr1KvqyhYvqfF9S2M6oiltEWzinPg5+y/MrSV/IBqNVq3vj4eCdPF2t1f0OnbFevXt3meUMRIK3VK1Z811sD27ePllr+58+3tLRI+2NVf+P0F4az3tmzZ9vr3We4vA0GpKltQ0OuAZAWFJ3soNcLC3L5jh2sHAA9vbk8T+WVfFlDZfWf1FaaDPAmG7RcbcG4Kyg3BpVjet7NKH92tu6dPXtg6wJSGHZI1sjqd59rYGRkO15eXlqXAW5kRA6OXV7mwbHro8TNLN/z3N6WBaR33313pNlsShbSygrrXGEodzrbXonKt0nTgdFR1gl5vW3b5HqLi9mdlNfnVJX8/vSfp+f1gYpKyqAa2LPH7R04sEUtJAJIYThcWUiD9qKqfqWBVdJAELi9p59+sLVK7EqzWRcT2/RUr776wfaRkQa1kFZWmAW0ffuIRL60pNZeznxJXh8hLFlSlgW178rpKvmD63/bNtl6Ld0bC1bgbaWSV/IH1//U1JL3/PPHVwo2xaqTbTggjY42Kwtp1Zv13mC4tCQPHupg0+9Tpgcpxmn7dpljJb+8/hFa7B0/vkUB6YMPPti+uIhqrBtxy0i1gEzlpu5clp7zqeQzTfSn/+Hh4dgibbVadKATy8g1L+8XiEz8ypZX8s0aaDZ3do8ff2BrWkgXL340alkMkNROVbTTmDp/Vb+YBtZCf8sKpsWTcHk2DlJ0Be+r9eIhJapfyZfbvoz+MV7qHT16NNsvUqxr9UW1oVM2BkhDkYWkPr8K0tsigkHLVTmcbyVf1kBZPZPa5QbW1bagyn4BlfzEquUW7NBQ2N2ygPTRRx+NrqzgOu3KSl/eZsIJDksGepUP76TNpqx822bTCv6r5Mufc1n9q/otCw7l6E1gWY5L/9SbV/7QkNM9enTv1rSQREBKOofJEuq/+5SrWcln+ipn7ZTTcUV9r2qg08Hdz372SGpte72ed0OnbG+88cmOXo9ZSGv1G44Yb1RgxVaS32zKQamdztpGUDebQ8qeORlEK/nl9e84uHv27GM54cRr9bUCsKGA9NOfXt7putsip/bqvmRLQaC8OKRhjhyr9BhbUb76znk6VelV1fP6RfkWpeNyKvnpzr6lAeny5cs7u92RNbWQVglfKjalNMD2ZjabTcmC6XT0wakAqHs5h3KkmfZ+8nqV/H71b1mNzha2kG7sxLjVIMobivoSQnIntqwOteLaSh/k9OlyuVOW5VeWvpLPsKPRkNutFH5VxPeMBlwXdJ955hE11cW6Pd+GTtkuX76x0/MwBaTqt5k0UNTiKUqn6iavXt59zq8o3daRb9u4s2UB6ZVXru5CyC4FSI1GQ5oGdLvddQXVSn55/Zt0VlaXKr0KE6a+UMnXt5lOLxh7nd/4jaeKplld9VF0XT9m9elfeeXmrkZjfSwk05Rv1TVqYLiV5LeVlx3i82ujbmRLhdOrfACQp+Ocncq/kq/Xp6mvi/rCuNn5jd94eOsCEgDt5nqBQiXn3tIA9zt1u8xPuN6/Sj7z+8n6Dzq//uvHyx61s2pNtyEdgT/9a6+9szsMLWXKxkZBy5KnYh0l7Xi9LpuhvZ5M31RgjtdX65lWeCr55fVfr8txSEkv7XfVLLaBlA5fNsNqJT8bMUR9bnFAwtipLKRVG182lhEH/bhBV6ll1cFIHWz4W1fymSYG0T+EQeczn3my5LGiq9fvNtxC6nZdafiq1+XEar2eKXalrBJMJ7vIX00lv3/9q7pTWyjdlqxN0larvm15/Tw5pp5RyVe/pbT+tzgg3drd7XYpIPFRzzQaFh0l1c5Yll9Z+jxYLMuvLP29Il997rznKnLf1CeK1F0Nmq0ov9FotD/zmbGtaSH96Efv7XEcJ7KQVAvGZO/n0Znu91svBXFKgfqcW10+UU+xcwbz/IB5oMLrJ/5D3haV/Dzd6SxToscgcNvPP//ETJH6a0GzoVO2ixff27O4GGp3kdVqdSneyPN69FlN5SbllKXnfCr55fWv6mwtOmzFc2010GwG7bNntzAg9XpuBEim48QNcZNdhT4nvDJFHtPzPyr5+q5eXv+qrlW+DYWlqW3y+HC+efwq+bIGsvTlum77N3/zyPTawp6Z+4ZaSD/5yQd7wzBY5X32G6XKrS1XZx2ZrNr10lQlXz+ryNJ/GIYVIK1NB1VHdpMFtDbSAdjq8tdKrxXftdRArea2n3vu8NRaysjiveEWUqcT0hSNqRnUgBoxT9Fkxpyukh/ppdTOQlmX/Iw7z2PLy2WnUqqVZVlshC97xl4lv3/912rh1gWkl//prQc6NqSA5Lo1Jfsf6+y+72lBU6XndEXL+adkqqfeV/GxqJyi/DfD+5veYcCxpaq+jhrwfb/9xS+enFxHkZKoDbWQ/umf3nrAtps56fw3SjWV3HIaEKfEpoWCfsv5k6jT7n75leWzleRva33xi49uTUB6+eW3Huh2LeU0ruzPAGN5ORpCZtYX/fFpAXd4Fq3H6Sr5+fpXdVQ35ATt9WTt87bkbaTe53zUcs6F16/ky21URv+WZbWef/743bLfxWrRl/qYV0so5/N3f3dl37ZtjZIWkml0W+2nM/Gr5Mua0Tmd8hYQylo2Rds2L4SD86nkM02k+zKZsv3O7xybKKrx1abbcECq18tZSKutgIrfva+BPN+Uyc+4Wm+2teTD1pYFpH/5lyv7bFsGJN9nKwQukjd5gsju7Cn2OjdH43quujk0u1uq5mwlvz/9Ey2XnWKtFmCY+ORN8Sr5aQ1YVq/9pS+dvrPWujHx31ALiQASQvb2jXr5Sm6lAa4BxZ0FuNuLlBc5FkcdKMkAWqTevSa/DqzWl750dGsC0g9/ePVB14XUqZ2Y3Wozql1F/oiKL7/r05i4kUVVyefhFYPpfz0grmgoSJFnob2Ld7EMBBEBistXyZESulJYk/eS/J7X/trXTt2OdYcxM1oglMNyeLmq5KJ0vJ7yWW6ohUQAqV63qIVkWjkpukKg6kWtl8c/777K30TP6baafPK+aZ3Ig4lqM2QPNVlwYrJnUq0kFXD5/cvNs2ey5ReztQrDqEBoQtKiekpYIWS1vvbVx7euhWRZwWiRJqho7m0NiJYqtyAQkoNdLUsf5Fr0zUz8TFZylnxPEUqPTwYAZJU7qIaDQHiHGgCkHpHfUgJ4STmRr6PPkyM+mvhc6yEfY9D68u8+FVtI3CwyWS6m+6tVXrRvrAodsZAQCncQZo6jj9TOE8QbvKp/L+mv6MicR5fl2RF7Rt7kqA4kYMjrVAoiECDgRTo+pO+Zytl88P6RH9Zg682f/+fb3/ve97Q7J/JU9+KLL1Ls6rf+hk7ZfvSjTx70vGUKSJ46NOW9eXS/Fg0hVf2CClMtg1XSXz9tqA4ifYNG1qvXiH/S5D+UQXytwwfUxzRZdv21ZPlaOvkBgq1rXzt+y8jtReXO9wrKfVGp+L2oolK+oYD0j/94bX8QMAup/M9kXOs5YSyHA0A4aK7uSr6oadd14xFVHRz4oGFqYxN92XLOn9Tzhfat5Sx3eYohxunLlsfyDfyM738Pyc8FpPIfaqkaDJCIx1z1jpdiU5BYkcMBiXzafK4cN6o6kmtEqPViiIj+iK0nTV1R3kbLL6i9iqygBgLL2tCBtuBj3pNkIYatK19+8uZGPVwCSPwJxKYsOIskZJLBocQ0Si/HDROMwff/6xv7m259B/B6sTMxAQqTX4CVM8zpSUDGAammjQDRrK0IQ2FSlz/t+spPd4A8v4ipyxRdccnrcuXkO05iIamcg8DPBAi1bh495y/WCwILpkY1AEARXoRPETr1vbLemdMW4XsvyfdD3HrvG6c+zesda3VfAqQXfuWQeoFLynBqUTrN/RcAgCCaE4r3TeX/10s/PzDcGFKmbG70BH7xd45NHBfUAKtHAUYot4I2y60jfDiks6Q71UbLB2Ao4+PO85WZfGqWpQcFhGQgKTu9khtJDqhReeU9u7nB5cGkJszBSBsGVjTKeaTJWaNr34PeZz/RQnYcB5PyIAig/pllG9qoo00g33JA69rXnrrB2+LqSy/R7+b4+fOSecLL1TZT6Yp/xIySCnsBY6tsxRi4SH2hsulvHf9j/+2t/Q6EO9P3CCjoACkBC9GDk3QuF3hRPYuOyjVAOpueV9Ybb7B8j6w69vPcZVtx9eh1o7wKdiZQ7OcpCAgFAQEi3YSbjUbJYMP6DQGcfmRl19lc8v0QtP42fDcGpPS7n4+KXupTlby+Wp3xow10HmMbvCQKiCqRf8Ty8+fBcQBipLz6EqnP6onIGKPn+fOp+hE5YQy+bj+xv9YggOQCbsGQTuQBDjykEzHLhv0igPEJWLlRB2PQFHc+NzHTa6BGR0wHu5izpJ3YJ/TRvJKKulfl+8Ahzvg+VyCZXuT5M/uIOeAlmuUfKwPCdHle75PlmKzMfsuF57ECaEX+gaSfKIOX75ImpYMaGZhYnwLACiBUgZ5ZRhCyQS0BMQYzST9kT+BL8LcZ5UPbXfmbr5w0A5KKQyZ8MuFOTkdKACmvx2Xcn75wAe49dy7uyOo1r6qWf/0fLu93uuHumLVLgsnYFMKyIPR9DzRtdh2EzOLhfYR8AGQKYNHy6OfWyBYUekG6kkPqRuYTByJ+00GYdVKp/r0rnwCTmsq1SJOZAv543bz7RWRw4ONgV7ROGTpiEREgYv2A/Wj7Kj9+X71nKk/6lsxIx1ul3YzyLRu3wO+d/oRrw4Q/pra7duECbZ+rAh6Q62y7KOHGp2zOhQsXUjLOnTsXl4n3SXnWNa+kp+N3L4C/8vbsR+1gt1urAb+gg8FW/Cth4ENTfbXcJTEpXvoTvF/kk3dvhAiJwESAO/vDLheewHl5SnvUIseJKb81GSASQJJlmqZupvJYdK0GCAghFFCXAvX/cWPIBYC0ffzuPomY1mtC9BsSK4hYSpQfsZzjn0dlkUsqIrLCycjG2W4J+VZt5dr2qetlBovVoj127hzbOHcOY4f++6v/RFjSXavCVfoEbhLKBNbk2k/880f77aCXWEiK50j15Oj6m9A/Jeam8jzlicb/PSvf8wDCGDcsB+W9z3rdJwDGQWs1ZHYRWbyvZ4Btf0ArPVterEnmi2xO+b4DWx9sezK2kMwqUA0Y01devDccOwcYIH334kX3wJkzBRf5iwtQKe9cugRFOY/8/dUDNRzshgGEWHDiEn+G6ssQeemAQu8Cd4EfDamiQ1PlfT/Lr4cOQqi35m2X1+r9LF1zv1+8NO7WALGGQoPVp7OO854r6z7nJ1laGRW2gnwvBK1Pfv/pjwfRa791jwEBkPRMzgAALuXyP3PmDLh0KZ9OZfT5SeuAjWxqIUWuH0ZSYw5IdqFf/keIOV/JNIwZ1T7lEYYBNJnuhJPtOFhraSnLdveXfACsDkKW5SA17kWdoBaJnSEazYufSfPRed5VE0TflQLLh8QaCi22yNL/T+0rhjlc/wJyat7/8qFjtd798tENBiTMvtED167Bq5HKdx47Jo+6At4caF6DdzrJ/fnmNRarQJxZvD6/f8bM93N/++bBGiCAJNg80aqXDEQun9hT7i5ILJ+oIP6HdQlCz2yjmF3clRT7ilbYHPLJC1shQnULoaLbN4rSxeozzFSIPygFhgoe6WT1kEWwPwYiMqBwWY0mG3SkwSoahELNEj5x+9i2gzkPdWDig1gWqmx1+cABrY9+76mP8jCbzHZ0NAPNtC5ciJb9r16lXef4sWMAXGNirvI/FKBhwHNMvk/rsYockHR0/AVIfSLo4U+9Aw3P2RMDB/FkBYyKWjNR5xIXi3ULx65Sj0MMl6f6hRJFMsmbT74PaoGNCDjJ76rrQrJG08v+Jqe5bA2Qjz0vqFJchevZloVxSJ3Vts1DE9izMFDwafuzJxbLWb9Ieona2uZWF8FG1EQlP9E/mbL9/JCXC0h5gNXP/QPLy9SHBP+XD3ANgA8L8djtHY4tp9nahzFKmsoJU35vtkYAMJHz1DvtA01g75EFm8zepNzGTRxC1mmTnwts7OAQdqTRlnReVm6aAqZjTeTnSUPg/SKfvIcDrZBM5wo17gBExELKC3wkviFkW4mPiC1nRVINSxaimSM1ty80v64NheUxk5hKfkr/Pctr/fIhLIABcduIv6KuGV5PpTeVA3Bg+YwISFxo8izLtxw4MnYoAiBTOQDLznU4EgQxUC07jnQNwGHplZZvXYcjYwF+8r3OwWEf7XFIkKMELj4IQwiZ5eJGI2LSG8lIJ46e7DoJAOyGAWzwUdQBgPIPTPWj+5tZfuACK+whMqFjy9kijLOPmTv/05hUDLCJ/rkFkrQN44ZQaHmOZSWDAisn/jxRnm4aloWRvL5aryjfonSmZ9iM8u26s/Kzr5zIt05MOFN2UBNdQWeIU/tXO/BfuH69nhV4cAgcAteBmcJ0P6/e6TdnDzYR3CvMuOLXIVYNu6ARCSCEXWr50M5OpnWsmJr3DnBAwOd6MQdSCgC2k8hyTq/qbCvJr4UIOX4Y5vUbHOufUUJqkZLEEDKIJOUYu9yaiTCP+IZ0QBSTqeAY3VCK4zgg/fKGAK6GQPCUzR3R+ZV8qRuQ9vMQbP3DkYLTpbxOJNxXfdLz15jfWSq/dAlQQPrOdbY9/tAhAK5fT4Dn0KFDQLiM2R8CQIAnmZ7fEAGM8JHwjDAAADz0rx8cgO3OA8R4caJOIhgytEy8TuCJ1Y/cTfQvCj+Cbzq5F/EWeiWCIbQcO8kCuMXkEz1ZXQ85vhWKlmWJ/pUiJUDFwYlMzbA4NTMyzrK+xHtmL6CedR508VqVfFl/PuiFoPU/nnQ/GKQv9Ft3Z+cYs5D+11u3GqNjY/EHunjrFuTXol0kAxEAEa4AkT7rYVS+p//h7YPDXfxAGIbQthOAUK9jpzOdWjCo4V2JTO3ItVjf9AwmvltVvuVgbIWYWUxFv+EUIWuJet1GdMXMRbawv4daqUEgDg9R6+jMUnXEkUeduFmdyDqWuGpEAIdZyZX84vrHNmj98LFjGwNIx6IpGwGkflFtkHqHX1866HroAdXe0fEMUQBti00XxL+z5Zt6vVgr6t2pKZ/MebPLdyAKCTDZ6gGdBRuYWFq9uuNA6NIBgn8CXLsF2awaWSWfqbKs/j0Htv7pK0++v2oNUYLRThoYGVlIpF5r0o5XqIb3hcboX0In3m9NTrJ6Bw4AEB2gIt8nfNmN4X37Yr6HXlseq8FeBEisF7t87haNxNLALfiOpPfUlQcAEAALLeb70IfIKfFMlXzQcKzQ7aB4Kqf6WUz9i4Zo1LETRoBE6ZJN9/SysBGW14nVBbSYsdIRKvk86UFh/Qc4aP/zN0+/y5uAxBaSnxjOQ655udpUeXTqfbF+DEjfnZho5vUBDjQMeH6130Q4uanjTsPm3r0MaMQTnRQ6Wk/4Hb80ebDhw318VYY4qEXr3rIdbEXOVMmAiQyfOAhOHAYk55HkaAJ2PbKwhOA78jiV/EQvXP8NgMK6BwMTjKgraQS4wprjWLUkbomtbCZDAZ9q5fa1HAJxxZSQxs0fD2aMQSW/D/3buHXx2Pb3Bm0jXn/34SRMiJTNfpiECqkydnses5C+PTk5BCYnhfv7hL/l8uZeFFs4nekkd7G2nLAR+e7bB4DA7tStuwebPmTC6CinMXU0fke2xJwO2EuVUye3YLwrQdpUrrQyU8lXjXwCTE7QDa3QzoxlIoGRYQ072GbBjuynDWMV+tYgNpOuMdUuXslnGjEtCqT1j22n9ebJkdhCWi1gKsJHBiSxRgQaXWcWNnbvTk3durNyeXfWgo3dCVDR+4FQL8I3Us7FkPsn3rs5Nmzb+9hHIJg2ES6gMIDESpI/koTOsm2MQgg5HRmBiQMzrhfQIKToJ5QnRdH9Sn6e/u0gDOu9MKhZcpAlHxhIWhJUdxxsQ8uyklALYnGRzSGs65OIsOgXD0DG+TSwLAcjxOrW6d98r1sStcbKA8ho2f1Kfv/6R9BpXXnm1Dv5AKKGKsmxhulAa/U+l5DwiQHp/LXpYe0D7BVKp1UKoWDvXgBS9wGgxZpyxmkaPPNxZ2yHb1G4UmdaJoXIdIlFQ8sDkgkxXZN8FKw8AR4et8TWYSr5RfVvk834XhiQeCZR08Q6XQZhDVnMqZ31K7LUkMdjkPuVfLm/i7q0arj12pk9ZkBSwxH5UntOg4wEPMCaEZJgavKvWL7bi5za56c5IAkIsheAvWAvmNYhjSicA46Ontyj5TJeEb7k9/il9w7aK539xncRF8BUoFENqsgYiouDaAIolBPryYkQi7KLaCr5Bg1k6B96GDW7vg8jYCKA1LZd18coNz+7PGg4qWX5vHVPNcSDhG2UAahKvqgtWf+Wa7cufmZ3tKO1jFYHpyW7PagP6T/MzGxr4D3x1KwLZyC/Fg2cFLBEFlR3ZgY29rD6okU0AmfgssCXXIt8n3v7vYNwvnuAdhBq2tsYoRCKMziTjzo2eBQ9iE5xNoVLCLgcUoIsFvdE5FXy+9c/7CHU6AW+jWDQBbAWCk7tWPOawWPw7quZ5ZvWuCv5UlNkLS6QKdvFz2zfeEBalQ5SksnJ1z4dczxgtpBK8qvIN04DEMPA8pLgVg72q/VERaZZZEAT5dHBbZV+W0W+5TqtXzx7Mmt1fpU0mmYzEkRTNmIhkdu9hYW4Aes7dhjjkAideD+ptwsAMEcl6e/L5U+8dndsyEMCIBHHM4S28Kzypqv0KhhxbIurcygy303lhLfIk9HxXyW/X/1b2MbIwxgijIiFqzNWVGuXLD4g28HJ4kV2IJ8XBrBG6dVEbowzWQChFnElv2/9Yxu0L33zmbdfPiY1AAAgAElEQVRTcFHUd1SUTgNrIzww8t9/ODdSBvYY7DDgIb/hRQu2RkUAY/d2gV0CVVrC8at3x7b1egfIyEZAQhzRSJkIHvweByssrOQkqyvRlI9Cjg04LbtiU0JVjqm8kl9O/45rI8v3MQwtwdmtblkoGzec3ytNsbKsZiVf1mC+/q2a2/rXz+xIWUhjSlPMC1vNyK3WrVvUmOF0tzg2KHQ7IzrOjtNRHOE+pO9+PL99fn4+FrkzPrpxJ5DLd4KWsLXAs5hFRchbKAEkbzEq38nq1yKwGqa5kpkc8v+TbyyPDXlYCZfkHcmsPBpvxPMbRX0u2STqANXJye6x8ngflGZ7T6Lz7G5eyU/r33Ut5HgYkTNCuP4HdT6rcGTiV7Y8H+b0FGXl3I/vT6ZsHz63J20h9au0EvXmRUDi9RJYAmB4aRHWto+mpm6eUu5Zi7CGEjpyv7WdxyXtpIBFfqScy2ltH8XH37o5TgBJnJ9zPwB1Nue8jEViXwjICaZUgjNJQGSR6QOnruQLzv4S+oeWhZweRg45tEjZTMtXNlV26p5b1dlquq/bq0t4J4ONPNpU8vVfkla/Nmy//7ndV0rgyKqRxoD0nesLowAsaBjvEMrE+6Q865pXy6BbAODQJ0tj23x8MBEiendETxKn4JOvrGt+T5ywkTKFXxDJckweq0p+ukNk6B/ayA19ZPnySbmch+yrA4D4+pKyBECIDyurh+v4FPkiKvmKw9+g/xAHnbePPnTZpNPhffslA6U1OVFo4UDdG8v3zYrlFJAwxvDPKSClfzt2ALCgwynT06r4k0UHADjy8sRYs+2P0SBFzRRKnl7JKK92ZtqRhQAWK84gKW90o07v2OnJgyIr+QPrHwM8ZMMQ+0nm0JwECmkPtik6s2w573eZ03LNVviycvKiSe9D+dgC7beP7jcCUi74cweMuKc1txIjmPdCFof0158u7ugIU7Pm0iLsbE+PdDvADrAgWEbkmvx6S4uwHtUX7zeXoMSHXfOp3QI49PLE2Pa2P0amZ2yqxCZv3IHNY4WoOc7/pzQypRWMGbLaQ0jj8lCIb4oUQ2QlEzpGW8kfUP/QQrUQhdiXM3Rm98W8L7pgT+6brJKfqI4NzsgC7XfOPfhW3yodoOJ8GDIL6T9+uhjPzRYFhqPEbhILlMvYrBoFYFGgE+tJ/JT6R9/+dGyoHTDHPJ+tFZkpDfDSxqqVfKaaPvVPTtKtBVYIEV9lS6bfLBRDXDOVhcjTKV09tdUYjVxPffBKPtdaGf0jK7wHAGmRAZK3vJyaD9ZGRtJO7eVlKJbn1RPvi/XGfnxz3O12pRVF25anZmEom0S2EGERauYE/D7rjgHg1yRtLe3EPHguZJYRtmRLsJLfn/4RBrgWwJAu+0csCERwa5eHXOgSOkRNxb4f0wqEUM6gJxrRUY/kSIl/NrJxJT8ZW8rq36rB9tXPn3pzLcb8PJ7zIWAW0l/eukUXwvwVCN1teqekzGw7AGApLmqsQNjV1pPpEh6s/OE3p8ebHRQBkg0wQpA8EKejLlTdiC2NtgBYZLFZqEfq4ygsAFoWJuYXT2svRyeJFkElfxD9hyFCNYBC0g589UZ1JBMI4QMDHS4EJCG04h42HuBKoUcBKZpBQApoZT3GivyDlfxIH4qOiugfQ9B+59+ffaPDky4aUKSJkkSLIknHYskamzwR44TMgN9X2RL6efLZvvDCC9b0X/7lzuXlPPwCYGQEgC5OLCZ/JW1RiVxItKXIltQX5Tz67vT4cMcft1wb+34SfSumj2AIb9OUEgSc8s7LEIMrCfiEIARWNGqaAi0r+YPrnwCRFXghCC0UA8gqxyUWDQOo5EdfYR/6D3DQufJbh1/PR4PVp+ju24diQKIWUsuC3WGEOYo0rOhakd3gdFG59hol+ZEIEHH+nFUXIfzou4vjjU53nFtBCCGIiUUTMsuIGEzEuqFlwg8iRJLuYAI2BHQIHQUey8LkHifF2KIgxn+Ef2x90VGW8a3kM60MpH+IUY0AEvUhqacsac1cZRMPbQmlp+XxMd3Pqxf3AkVeJR9B0L7yWw9vLCDd+dZ3yW4Q8y9l6qimj3LNOY1sA2B5xch37N2p8XobjWsJYiQROpc2DEaIN5LCmKJy0aQyb5JLP0IlP9JJMf1jHGCr54dAyZNEmPDpGB+wxekYS7LHYpIGKc/qvpV8Nh0uon8LOu23fueh1PG0PLmiLmGjqHsxCSMpN9Hr+C0gRKZs2Lrz3WUBkDiA0P220U9XFt3igEOtIF0dtTzhOvbmzfH6SqAHpGj8ZBiiIpFmICWEBQGH+koUq0vXoROplXz98luCWWRvIZmyke0jeeE3oq7lKLHkjqmcU2RF8VfyM80L6aaqZwSd9qVnxzbEQtq5MyBTNmzd+KuV3a7gFPYhhOK18fUi/PFbenoftqCLh+PplsqXAFJtKXzIRyF0yeoXmab5IeRjMi3L+tFpXQiJEaTSBmSqF6WfcK0aJjI4q5g2cipV8ldB/zU3BJ0ucshu/9RPDxHiNh25iglu8qCmXL1KvhCzFzWA5drtnz99KGUhFYe4/ikZIGFs3bi7srt/Nv3X3P/WzfH6fOdhwsHCsp8o9vdkuB+Iz4jURZD5lETXBSkj92j1EEh+KH5PfPJK/mD6tyFCdQwDkkmy/x6RM/qkfFNrI0nPVVwSWU+5XNb6yPct0Hn9tx++yKWKWazFtzZmplZUY6qv02AQKIAUwFZsRTiCZaNWJnTifbFebFIL9U1891365KHmsv8QBZXIgom3loUAwChdiChfjKsQ68Vyoz/IWBpnoCRLx9wnFLtEiOccACRGdlO6iEElv5T+IYnURjBw/CTXNluYiAYLMi6ovuY+v2t9KEiafyW/vP6xBTs3fvehXyZNwyFFhaCiUJUHSQnfINjLLKSPJif39Nk3aLWg3YbO0FD29EojYP9rdx4aboXUQuI/0mkT/04ILJ5mZJAH1NSNrSth5Y2QVfL71D9EyO1ZoQviGTcNuRB/ZEWUT6PFcjLwFG1eesyMkAtLrieb05X88voPEOzc/OrpX3TnZqhx0tiVpLYm16byou3H66v0RM7yxCSmgHTrk6m9LdASaMRDSORyZygJXAza4s7sYvXFB3n0ytR4s+VTQCKq4501v4OanMxyOeu8pLObndJiToBKPvOz9aN/hAPs9lBY44CkJlvgDW+aghft0WVX+otGAFTyqQZ8DDsffeWRXxjVMavc4c6esuUaAX4YMgvpvU+mqF0VdNrQaSaWTr3Thj3hmvNQy+sQwp7gFFeveT3Cn/xN4I7wHb8yPz603I4PUmHmPQM8SGOQ2E8Xh8TKGNBAiCCJOSK0opkuThHEGCTyTag8Sd1Kfv/6R8AJ3Z4fOjDI9SGRzC9kasytVN7OYhsVwQfCp+ZauJ96lXy9/rHldD748qHXiuh/tWliQLp+ffoB0b7hgsx2EkjZU6b6qt0kXj90ZWp8ZLH3iO7F1GV5slRP4McRluvJtRVNuQi9OBiq5aaQN06nPkMlX3Zy5+kfQITsLiKpGlKAFLvvUj4kVkAsMro+Ztt0lZVkeZDSVJGR209WSdVtunmuqUo+691pH15a/yFA3Y+++tirqw02RfhJgEQrDA+BVqvN/oyuQXStZzgEWoDRU/LhIcDpJSASyrkc8u+Dl26PN+Y7aUAimjPFFNFy4WZId6oBWwxkjHoo2wvHAySTN4CQbKrN8FtU8svr34EItv0Q+OoqW5k5kxTZKnQ5Uzn9zAwpCnj1Sr787WbNmUOAIOh8+IUHBgAkHtKY5NwvAkaExvNG2ZTtwxsz+5yhZuxYDNodKF7nMTTRq+XqNQGk2uzKo3yPGl8VMwYuRrqkI2TUz0R8okVC/7MggkgMJzCsnFbymT4H0j+0EGh5gQhIpB2JylXrNas/5W3e4HVNLiqRdyW/vP6BBbvvP3/453nf/Frc97zIh/ThTHtfMgdLLB5iMckW0hAAgkXEH2poeAi0RUuqYL0Hr049tG2BTdk4mDCDRhz11NGRXfNS1jEZ0iRlYnflsd4Jn6TTJ39V8plS+9Y/xAiu+KFFNoDEDWSnsjXI7bba3VroG/TPSr4aIpGnf2IhaQFJ3VxW1gAqUH90VAQkAECt04YCHEm9RXR2EzpPcHZzZ/VQEwDQYdX4fXJPD2MAjL0+RZzaj6bOKzL1U4N1TmdYytAqZY5UZnnGvZ9FrH+NxVvJB4Acl2a3UWAFybI/STUiWrN58GM66NF8AKTcGGKWCCKrkt+H/m3Yfff3H3slr61Mm19VnCqAQ7GoUb7K9u7MzIOktNbtQqfRoFM3EZgIoIi/oNuFHmZ0tB4U6kWAlCoXGHB+e35556H6nP8oG1BJxjRGZEenwzN8SCNAiBjOO46FqbMVkTqJVUSveb34pPkwjm8idZLHESyoSn7/+rctVOuFAQxgGFIbSbVSWZuJ7ZnYrKaRQOwBnEaNLkpGm8R5XcnvW/+21Z355tmXTYDUW5in305rh5w3jZzBqPuJ5zeS+yY6igHEhUV8SB/fmt0fmzaUKzF1+E9AGFouXpsem5er9PL1njfmxmtzwWOsS4lTMWFSFU3hwjCanMVTOiYj9iVpnQ/iVI7Xj+TEXwOf9FXy2cCQfOD0r4L6d10nrLW9IPAw4itkZD9h/KNL/UzXpjQ9eel7KD8Ba5wI9OJ6kbhKPtN6X/q3YXfiC48bASnvix/kfuBHUzYGSACE3S60IwuJX3MBanmZa86D8Bf5PXjl9rgz3TtMysjSbxzISPaeRSln1ReU6IRgSpFOyjgSARWvZ1JYJX9A/ZOtI10/gCRrJJJDBtiSvkHzAmYhjOiBDRZk9flJVbym8cSqiABZzPKt5A+gfxd0b//Bkz/LBRbxAEdCHB8uG9XMu88FCHQxIH1we+4A6GgsnyazlKhdI94n5cJ1s9mU70fC0uWyhbT33bnxobnuY3QY1m10soWEsyrKCNdkaZ9NE+RfujxnmS3NIJl4VPIT7SjtRfWMMAUkgHw68RWjvXUR8LQsarKY1mbR+vmR4uaofqMs3TNV8mmbSvoHsHfnD4/+NBeQ1oAg4D4kCkgceARBpglaVjmvnjXR4xPCHW9MjdfnV6iFxH9iVB1x/6hRdrFLqOA9Ts8yTJKOjGDCIw1QlfykLcroH5OMkd0wAH5+pLbal/MittX7um+hbLS2yKOSn1hUCKDep789lgtItVH5RGtvMTmVul+s8uPd/nfmDtqNJA4p7Hagjdl1R/AZMYsnEVeDHWEKFtHHBE1A7nsRH1KLXIt891+ZGrcnV46w4MW0hcOLQoBIVm1q9ht9RvyxIjcDuaR8Q+YElVbhaDoStscNIQAr+augf2ghu+0HMIhWHAr3yrylzcKM+iSs5IvzaQRg79bvHv2JWZnqybHi6db9NEHCTwIkPauCTuxGE4BuGWc3k7aTWEizrSPsKi9CIuNl4+8p6Vw4yodEzjkqpqZKPtOTydmTrX8yZat3Qx945S2kYu1TUa2HBpADe7d/+9iP10OWKsMPfrX8TRO0zXUOkptkOV8l4mEAoJvcCUAXOiBZ9ifXqXrRfd09Trv7rTvjjZleBEislOQ7Ej8JaYuHupqr+X6kfEkCvXgaifisuhiXSn6ioaL6J6crOF3ft3qInLxQDthyxwLB7KXxRckJNXJbApakr5Lft/4RJID0RD4gmQwj1YAqgWwxIH10Z56ejRbCLrSF+CITLxJ3pMYhide8nuL7jtlxOQSQmrPtx0X7iBtKYhQL7d66gMSIY0wrboHThgFEdpidcb5F9HFU8plyY6zI0T+zkICP4imbOgUXp4VZS25lLbSsGCaxB1fy82chJBDI7U186/ELZhzhSDQA8hiY+8QRSCykmxML45KvSKiQck4LlhJoMMKizu8maEo+qT0Xp8aH5ruPc3hgxxqpnSj99CwQUlMeDY+MRxJXRPZS8fU6tms9+Vh4FBKrUcnvV/8hCpDrWR7xIWGyfE9Wb6Lle95SvLzEoCmRmviVLa/kmzUAAex98rVjGYDUr/by68UWEgEk+kH2utCrk6kYg6FaD0KbXss/QieW6669ehLJSYCI8+ecyH0CSI253hMid7LKRToY2RqV9woWdDHCvkAnrwsRXhrcymRbye9P/5blhKAV+hYNo9dYR6rJKQwaSYNoTNdkbJHbTTV4JJGV/JSyCuofQ+zd+OqTP8r79tbiPgWk8z/4gT387G+NA9FJFEuLTCB6rZpGWdecAakv0smvsf3K7Fh9pnU0KVUX3fNeW4UcU30dNHFaUyBBESir5HPIxwCGtod8J/SjhVCdrcWP9mQoI8OGSC9Pw5JvSXQ26f9mZxWTXyVf/Hr4rIEdrZqhfwt7n37r+P+X9+WVvr+o1BiNroVyBZBIAt0c3BFxhv+tmcJp8UvzBiOXPh2vT7YpIFGzW1l9Jov9GPs0bghT858u/gt9TRyM2ejKF50tcdUu7ptJJyZ70sn2N/yrgw4q+YPrH1tO6Ha6AQyS+GpNIIfUC8TpMrshZmzgJamxPipIoCcNP/q6ahes5KuaC0FgQe+T33skF5DckRFp5uQvL+fOaPJAbOfwcEgtpMavfekhu16PBYS9HrSFKVfCSEassJekmU3qJwhF7ot8QgihLaS6Hbl0Z7w+3TpKgIdHQFoW/1PXnQs6JmPjR0G4NOIBJq+SP7D+LRjaK63A5juf83pfdf/e1AC0vI++cehfN+ThYkD6zS/Ro4iKWjbph60D0O3JuGV6I45XDQC2X7ozXpvsRFM2RK2k8o5PPrUyxXRnpHimLqekfiV/AP1bKKy1fB9GgCROZuXsCumOoUsXXOSDyDp9uJKf+E9L6Z8C0vEYkLYbGmKpSAOVoCFy7OHtxELCduM3uxSQiGVk4mHXgWBBAahe03qCAcXvU54NAlhpziNv3xlrTLaeFO9ofW95L5bhItKtxhFrIDS4iCr5xaY7UpMgAKALGSB5vuTCkWxU0eg1hGWk4jJNdXSxSxraSr6wxFBE/47lzXz95L+on5wKQEWBykSn+6RjQHI/v8iOIqJTtWTqZsIBlc5UL6989NLEeGNyiQGSZhOZpD8BQMiyv/qj/TtaZItdojyvkkIvgk4MWJX8RKWCHnmhCOw6/UMLhrWu7ztelDGSbtrkK61M43kjdd64o95nFlLiAOcHNvB+U8kvr39sQW/uGyf/B+BIYkKifk2kDCQL2Sobtoc+P3VInHGButD0wkyMlmddKz2GGkbiTE40lHoA7Hp7bowDkjhVQ1H8CunGrJyNczzeJI5zcZLjs7OmeoSfOiCrsTKV/CTMoh/9h9hC9U5A45DY6FJklZJ1GNOpIHnWqh3JSXsbK/n96h/awJ8ggGT4uSNyYjZ/mfmRy5br2FvDYQjPY2xbU1P0bDTXg9CvJQLJNccTSylX6bKuuXDksYcnuEbod12aG6vfXT7G7yfJ/UOAITmgNFk1E/0FnI4vIvORlx7qJmSDpCNklEmSr6ZxWTr/QyUfQW51lNa/BUO3G3i2h1IGFFk4SFnBmmwNeRYS5xMbs4rla/QmVvKL69+y/ck/OPHPeW2xFvdjQKrfmo6PIlINICa4DnqCaaQzlPgDyvWz6+1+c3Ksdrd1XJfmwvTCzEpKRkBi2ST11ZGRexCyR8xKfjrNS2n9WzB0OqHnhGTKplkhlYqiAMhUDiulXBP8aBGrmICZEjhLkrpBzAa8Sn7/+icW0tQ3n/qntQCcPJ4CIC0JZ6NxSKkzU4Zekv+J87iEtQxUKo3AS/M0296+M1a7s3JcvsWUaQneTQRC6Zp2yLhSMkMgdaRBE4V0WZ9M+Wg5Ikf9JNL062+V/P7074Sw3fWhl59+RGwD2ixKu/AWEo+cVOuoibIy1lJTPa+SL6tE1D+0sT/9nWf+0V9ZkRa43G3b5B0big/Jt2T6PPBR7xP+wfw8olM299bSo5awioZ6AMbXepOJ8iN0nHGKvs7uZ/ElgFSfWDkhPZzQs5DQ69IeCcvoqYjtocj0ScdTJ0KsVO8UAUugS3frSr7gKULEQmp5Huh6QgumvUDi2M0To5E9lUmQYrIHUVU5oReT62GUbBvSb7Gt5DMdJlrP0z90sT/xR4f/sSygrAY99IeYD4kAkpahOjczSK3VAfBE4Cr4dNuv3BqvTTALSXVYyyz0AY5iHfI3QXoY5UFi9eV6WTIq+WwqpF8cyNc/wnbotHwPeixSWw8Qho6R573m1QS6rBXsSn7/+scOCCb/+Ol/KPgJAwBWcki3FWYFfRQ5tW/P0JM/6tRXxH8ywti1WmyyOR6EgeDkDgVnNa/N74eeBwnfhGvCd+Ty7Fjz9vyJOH+N1IvT82CIXRwnXotW4ugHFNWTfEEhW3bGKIomJ8nj6awt4kv/iT402tFJdkllW4qiykq+Wf9k2Z9YSKgrpOZXg8Dy9pIYu64at6HYyzHfonSFv5GIsCjfonT3rnxsg2DqW0//97JPuBr0AiAtU0ByYQ9aNRaHFMNGL+09QrAHfZzEK9F60bUIY5nltToeev3OmHNz4aT4MmWidkk2SA5QeQrRrdJRi0A6o40d+yzyyoqdqeQn+ieA5HaCHugyHxL9NPlfkWVD85nzyHiLTchjfZNI1Tg2Q5xks7/JBJ21hQWw2EbxIMLpWOtV8vvTvwVAMKEBpBHlA1s2fHCcLu8+ry7SxYBUn5k5DLy8T3oV7tfIkbYJn/rlO2P1250TZGWedGOMAV0xgzCJCicdi5o5kPkP+Bik+pR05YSfyEvdysY7biV/cP2HECNn2fMsHwVlYmBIi1qRJaW6w03L+GJP5G2XlJWLQarky/q3bDtY+NZjgoXEp1xsatbFw9KA3YAt6kcuW65DEyuIfEgUkAig+j60sZtsEYGJ09B2hXIfQttN4pVCci1smlU30QICRJQ/mT4xRCJyhi9PjTm3lk/yCGuMMIQWZL4MhOkZXclROayc0OKA3YMQYxwQnpYQFQzIkTwxH9qpSR2M42N3SBGRozq/K/n9699yQGBTHxI5l02em1n8VGFlRoOhHGSHo2X7pLPq+XD+qt+Py6nk969/ywbB4p8888NVMD9Ks7CCyIfkTMxKea1VTnm+bdP9vHpDb00erN1YepoCBHFKl4rvTZ6SW06m+lnlPBFcJX8w/WOy23+561kB0Gb5p1Nr6tdj0zzd4QtFLKJofKGNry71Z9Wv5BfTP4IwXP6fTv230miyChU0gCTPqeqgBnqauRwr579kDkbK+U+sJ9MnPqn6WxMHrRsLFJBSPyuCkTiAiFMQfwKLXeE/4o0gy/eSU1uYw8Xl6fV/sxor+Wx4KKh/27EpIGE/cWqrqWUJIGGLBbKKmRV4U3F6Y8R11Fqcnk/lqUWtyTBayVdO3CmifwzDlW+f/vt+8SVosSmcMyxP7Ti/rPvWUGQhNSZWHiep0HilEHjQBmxVLWvrmgO8VHaAIKpHHwp4UL6GkMshfLddvjXmfLr8FAuCjOJPyNQq/qWjj8g0TVQWpwijehBGU7uURk3by3kQZiWfqIzrkamvuP6BjZGz2PVwQHxI7Ef2SlIuykKBqbPzYFgGOFlLcmJbJnTq01byy+uf2FGL336ib0DqF8hIPZLcj8YhEUAahBGrmxFBaWA+dGVizL4x9zTpUpIJn/4O4hGQO7fJyB0bSZQ+KqD+oiRgMx4lRfveAsASRtRK/uD6hwCF1lLPx9SpvTa/ouFKayM9WQTsO3phwAdbj/eHFgiX/vTJ/zrgo/ZVHXKndu3TOZZov5ZMuaTlMDLKYWYxId+DlM7zgOVGZZBbSsmUL6an95Tltehxm5dnDxJAYrv6IaQruCl7nTU/ARa2wmtRBzW3lIipzsrlURNBhz4vT0tCndqRszXpUDZ1jFfyB9c/hHboLHs9Akh8+sTbUpeuRNdji54eIg4moi2lOrkr+UzL5fSP0fJ3zvxdX4gyYCUYYGYh1e6uUEBCwIOWMOUy8Xc8DwZioKQyNeP1VDpezuU0L08cdD+dP6Xdg6FYNKlnIUnWRADLUIYUNyeGuyQPlJ6dVPITjWosVprkTtA/OZfNWQp6ViA4kQbsoGWrr4cFkfVMm0E+JE7tjQakobtzR3VhSKpdQ69FQpNBFZVr6wst2nxj6mDt5sKpuMjQoqLzUu4Qpn36BHUiREnZ1xlrMZX8aEiVtVxE/wjAkAAS4nikCxQzABuV1i+9utTGH71fflmDFBu12S9vSfA+lW8BjOb/6NjfGo2RoaGCR9PrOQTtNnN6a/jEFhIBJKpr34eBEG/kQB9yALJcF3P8QdCHgRCv5EAIAyEOSb0W6/HHJPWbV6YOutcXnqFlwrIZIpG51BcUxA5uZo4rAERXzfgUTuPMTq33mxaKK/kD69+2AmvB6yGyH0k5ILKopWM6YLKqX0wDq6E/y8Jo4TvP/pdiEleZKkQhPPejHznjTz4tnI22ykIy2LmXZw84n8yeZiSmoU5kYLKIij6zrn7eUFfJTzSQqf/QWvF62ANr5tQu2soVXf8asCwLLXzn9L0CSC7J5Si8jXqtvmhReh0dAO7luwIg9a/EqubGa4BM2WgcEl/2z12KknYy57yAiVYoN0d1GHhX8tXDNOlMFEK0+Bdn/98N6VHcQjr45NNPWiDZGkKmbmSKlvdQhE6lEeupfOhBR0K8k/PGrYPOjcXT6kxMK7eMIaNjwPeQcEtMdVrnGWiV/ExDljhDwVLbA0IcEu3gkfUrq1ejzKIrFFHbZvOVbTpifVfyVUtfmZVw/SOM5//kqf8MhiP6Vh4K5Nw38dGVByGbsh188lnhKCLVa23yYisP4gt0rujtNtC5NeC+eeug9fFiNGUDNP11sldc7bSyl5Bvj6JqjXaVswmFznPKnoHxF7ySSpqfSn7/+ocWIhZSzwpQvHWE7u4Xml+3cKnz6qXHBhaFz6f1prGDbEsRJ5WV/PL6Jzqc/4uT/8+AMOMdWWUAACAASURBVNRf9TACpP2Hn44T7Zs48Zgj2i18D6rXtF4Un0Q/fh6jJMQtqbzrV6cOwI8Wz0jlutWJZKgVRmmS95QF9DFnHol2jDhFPRY6JOk/cYxHN6jjnHdZA3BV8uVmUleVYlyQ9U/zIdE4JJ/6kLIW1Ez383oxbz0aU6b5keA03eNy0rxIjko+08Dc//yZl9K6aCtFQwZ1FaXTVA8xsZCws/9YiwJSmala1tQs7gCGqR+X4755+6D90ZwMSKSybpVGs1cp9UqkXhG6vJ5XyU9P1/P0SgGp24O9IHZqlwWA1KJoXjtlpKOJcTPiYbabEyGVfABsCLEOkPgMi2vLNJPLm+ll8uGAtO/YwvGUL5tLzvJxE1+1jo6X6X3Z7K4PQP3qnQPWx4tn6XXe0Kba/nlDMOFJLSghHICnIRGHzOyZIaNUe6qp52rmH1tGPknQttTrwp64daSfT7wACkUk+dzzKYpLS1Pmc8+nuBfle9/9tR+YnksFojwXUZn3gxIgaSwk0Wmd6ayG1KaJR1WTpaXyc968c8DlgFTmyVVaErQkbv8fhFc/dSv5AKMQuUtBF3KndurwEXUZjCtaWe0SB4isKA06UIhLeRH/uL66zFfJ13fttP47BJBi5DFNwQzlMUIVnboldG69EdAp24HjCydiQ0jjw9Yu7nuJ6eTW3MTAUnzbqq87keOD5nvz++33Zp9lZxNFKyGKnZ8YQvyUEUbA8IeNQBQPRKsn+lvGCU4XUUb/sMW3Sv7A+ocwdJeDLuh6uQv+vKlMe9f6GRP6qVPJV9I1R9Py7l999j/1o89B67iNoQCew9jZO71AjyJyAQEWAWhS12mR8owugS5TOePA5nrOlbv7wfvTv0b+JlMbdUCEJJUX3VhL/sLxig11XmqmR2QtBochdXhinoaE+rq5BcUAjDpFLYvyJVZiJX8V9G/D0Fns9kDPC8noIH3syvRazQypZoCEJPFwygLK2K6hWYio5AtgU1L/3l9vDCBBGoeEsfPgnYWTpimZ6kISIal0HJLg5CZ8G2/ePgA/WnjWInlzxJw5CEG2IGZWKtWxkKBfxicLM6Mn4susKdrJdXwr+YPrH1gwtJa6XdATTh2JOotpmZ73pSIOZ93oqxmTtIN0JT/bdlH13/7O038zqLXTT323RqZsBJCm2ycLzblSaURYvBGGPk1vHT8EiUMS52pCJkkxrYlzbfqA8/7ss0mHSWwkk89aLifTOBSlI2HO66zOne+LruTzyW9p/dtWYC92e9hLVtlMgGMCkmyASdqmaP1KPtOAKZJF1Q/Xa/evBwCkjgJFzeLQ5DYiQNo3sfhUXjXosMhtHCTR2aky1wXAZzaVeE+dCnJZ8PLUfvfDmV/jp8eajlTm9Py+tPuc5mVjKWwl6y2a05Hy1G51JEfuVvKZ7gbSv2OF1kK3iz22ysZ8c7KJlGepFPl4StFU8lkDyG7TzE+dqGz5z5/6T3aDGxg83qi8k5oJMsUr8ccQnNoxIM20KSAVjUOyfR+GwlYTG/gwFLeaRPO8VDnvn9HUzb1yd7/1zvRnuNZY4jV1137Uq2K8QQCHjI5bPHE9yQmlZgFIPgdZTtJrK/kD6J/s9l/yulaXABLzayMlnkv0HbE1r7T/W7NuJp7eGfWgKN1wdJWsn8n5Yyr5qtM68s3FGtXrv/0fTv2N3Wjmbh3LM2LK3ncbKJqyTcycEgEmDi9KDB7KWzCAJFmmLbgqvXpduza133p/NgIkgWVe+IbuPsebYnONbF1V8kvPfSEGIVjyOjCykICQOobijsMyeErlCGJg2+TMK5hKa+hEA5MYlU3po6Yj5dLgxfcB8VMpk9Q1lfxy+g/+9PTfhDsaRQzaspiTSQ/RCnNqH5hZpCd/EAuJWjqChcM5ZMYhKRHZMR8+gmk24RI5tbcm9lvvLySAhBGkoxrZlUCOzRF/4mjLo4bVyGzlmvBS053GLA3R2JX8/vQPLSfA8+0ubDOndno7a2KJpn1A2V4OORJEpGVSkpLkr0q+sswjzJ/z9B/+2enve/GUrSzmmKZ4+Xyc2Kk9s3gqcWoL62rEpOG/VMS2Qife53Wo6cRvuGy1P6bzgf3e/IPwnenPxTMtqik2kEKbjJCsg5H/hwSEyHKyHZmhkY+IhAMAntNf7rmMDzkFl63YSXy4HGDBJNlAJb9//UMYWrPdLha2jvBuoE7D+V60eO9Z1G6QtqX5J07TaU8x7GlTOVTyZTdInv79Pzvz/XBHU28h5TituQ9bJQNKQTMi7AjlTu1XG09fwNh5lwAS/RXNb2TqNHn5k0SkAqD29t0HwTt3P6dbZcvqmPIYKVJKTqQMFnz3uDqWF6tfyU9UG7cdBSSvi3tegQRtZdd98kfXchSVfFlfMvYQQKqZACmqOMBimrGpamHkQzp4d+mZkM/x6TQ/gFC45hzUcjsIoNr7xHrkvshXvYaX7+y335v5LERRAKQFMT1COzrqWn1y9ahrHXzwo7gpD4Ev+ZvzpeoXfE6V/FXQv2WFYLbThT2227/63b8aQH9y4m/g9nrhiPtB3lR0nlNAIhbSB3fbzyS9KPnLcR0QSP3LIcf/peTbAJCjiGKvvAMcEEh0+nq1a7MPonemPpd+ocgzQKZpZMpFfsJZaxRNYh8Q2TFL/U3RXE8Z/ZJd6pgGR4r1jJqs5NOJchn9WzAkPiSrG+om74P02aruOmtgPQFJfDW3FjJAev/uUpwkjROoLqPQZaskyA8gn5hZUZnt8xUNeesIuc/pdTq1rkw9iN+b/pxuSUfjDopYmJz/aTNcv1ims6vSS3OV/KTFlAgv7eeBIURgodvBnSQwUgkNy9j/zLStxpKl42dYi6p8+QOp24kq+XJTmfefy/rHf372+3A0tTtaaXdTxGPKe1QYTt2wzgGpQwGJnCZiRQGQUjoShSWlE04dUa/jDqLQSeWOi62rdx9Eb03+esze7JyRngBDBFMn3WpwKkXHuZjkVPITPWcs+ur0TxNRLXY7sIt9jjwpFjiJg2GCollBZLUqcYzpjszrK8epx83KESj68ir5igoL6h//BQGk9ZmySRYSn7K9Mzl3FoIoTqQwnvVBqMzcrGsTD+KrswkgSSwTJ09eWFDhJynms1YsMZ5loLAUM+Fmlk9yas+1u4BO2UxHJrJyNXI+D4gSelNKkXLllXwExc3Hqv7xt49/335gdN19ga4ISPwrEoEJAyG4LOd7VOvl8SH38bWJB8HbM8+p32netfgoujhIau0VSKMqGkzqFC3rupKfaIDrHwOI4EKvLU7ZVgHCKxYboIHw3z31fXuPu+6A5PgogN+9eNFtjR05o3NqA5eYNABQw0ZwbqtOa73zGwDHFeuRWqJLPADg2tw+6+3p51g+7Iw5Am8UhUTdw4binNlRiiMhbxJb6E+gTlhkY+WV/Pyun6F/MmUD816HWUi6H910KCBZBGW6PDK66rpRio88RUYIIrySX0j/4Z+d/b49UltlQDIFCiTlMSAtPnKE5rV2gAsCwXmUvk73lEDofg4NpGQFcrm+i+Jpr4l+duPXQMfbo8Mc0ZQ0WkLCJlpRCu/nsmNThiHDZxMXV/KZKrKmzGwQICe62CGYbXdxD/lJDV5T/VfVfN79PKw0yanky4daZM0bOOJbAP3ps/+3vXe1ASmvDQFwEGYW0vL44yyvtTiARXFIIkwyeyn5oSA9pbOE+CVy33Qtwe8vbo/jj2dPwhAnW4Mj7GBr+UyRZG0/jrpV82MLz0UTuglRvNI15YuSGAXbxiT9W0pdlXyqkuL6hwjPt9qgm04/klpei0eJskCkAxgxpswwbBmX3yr5ImBBC7bRwzsu2d888XHY7Wqj5u1GQ9p0q9Ll3Ve/M5FeAKRjAiCpEJR1zdhjukMj+cajSV4+JNJJHPsF3a4NX739OJhaeULYQpnLg2gndlLS8CRSIOyDi1ZwWMxC4liC6ikamGxJIScmldvkXMln+rcgDNFcuwM5IOU58TTYoU7as/yDYmCrlq6Sn30Wlag0Cwd499BV8JUnroCR2roEROo+bDsMmYW0NP74s3lfPndSk2ht7gziUdmJ81vwEnEco5ijD4zUypxpN/Gl2yfxXOcholG+SRJCO0YKjMMoTQnxDMnu55BaO+SMXGH/DrQAtYLihCXJ1kt1nxMEpD4xv9jTVfKZfvP0jy2I8Gy7jQULCZJgVsH3o254TY2WdPBIJsp0/yKVzVeAo2eJBxMZikgLizwr+fn6t0aHPgmeO3TRObmdpfXPd/UwFRcNQyqRoC0CJOwujXcoICEQQKvA8r9KZ6o3SDl6f3o3emf6adD2drEvIg8yC9zn3VXgpV1yJnScRlOngCQ9yWaWTwIj51ptKARGFlimKKxKnRUkegR1BlEl36xeq2nPWSf3v4aef3SycCP0RdhVajWMXOyQ+pCwO79//jO6vWt9ye+jUtbeOfz6xMPw08UT2EfKm5iiV/KiWtL39YnZ+ItEJ+IaV4NMEw3T57A55RMLCc6220iM1Bb6QvYMSt9myRZopktycANvK+b3Y/YxK2bJ5UTfoQhilXyexRN24diO18M/eOJ9u1Ev55/o49suU0UCJFrRJadPJAGSGCZO61S5srdEvS9dc+e3kM3EdF8nH7dCB//i9lFwt3WEHD5CU47IMzVmRFH3dOKgptfcYZ01xJLK0X1+sKPIhzKP5PETUCr5QlejusMIzHbaxIeENI44FRx0HbUIjTBMxM2S1IsOcqjkp4DGInFiuxvvgC8+8ma4f1v89aqgFHZ7heYiefXy7vN2FOkSQHpoWcjaqFlXoy6gPGe3potJ9dQ1OsnJJFQ2y0dT3WHwy4mnwFLvoORDN83nqP/CNOfKK6cQx55L4sPLxTY3tOHWkh8DkoDfsfp4A4vTrIQuKc2zb3WAJPY8XX0d0Ml0m1z+kHMLPnfotfD4rqVEV3zCUXxKVcbaSdOa5CTlzIeEsTs/HQGS6nt2HBmIVEwhUiX80Di1CU2qnlAgAl1R+e/O7Q2v3H0GdsJR3qlpBxMcqNpy4uiOTH05VkZWn8m8l45vECy0mH4Ly4cWRGC624ZdL8j13USz4BikNLNeqkrBKuXIRttZiXEkVnAZ64rGwQpNrj/jbxPIr9sL9hN7XkNfPXpbBQjVk5MPF4xDDGOK87uhOK9VfkXkMwsJY3dpevmzWXmNODPV10NX3JRfmXxIvGpeXiWdfBxAiF7++DF4a/E4DnA9eQxMfQ3Mx8CykrBrFhEQeSPoKhwDErICh+iBlLLVlawskdUhumIT/fg+ILLal/a2b035zIe00oY0MDL6RYCSrK6p82beAukBQQ6rlu9z31KCYxEfHXspne4WkQ+hZ4+NvoG/evQdd7SeOz7oLB8UxSFZStyRjna1ynwOSHPT3c8mTJP+pEZqpzNKsloWAQcnOZetaD1Gp/5Kyl/2auGrt49b0yuPhRHoxKZSjECK6RKLTLaMxJHd0uNE9VQ+Ijt6Ci71uMZBBVtRPoZWCKdX2qgrZoyMAKDoPExyzNGelbRGnklDKQ0LDFtEPknXDHc03oPPP/K6+8iOPCNltXBk1fiEbt2nFtLMxApNkkZmaPynzqRQFIFNoq/5TI5HYVvcUqIMGMSQ+uQ+p9fxVcOTBpGPJha349cnn0Yrnf1EFrViBIcFCd7TaY74yOmhAurgqYzyIobxQMz0OWYQMKtp68mHAKKAWkhxEvViHVWzOKGtKNKZcm+njtAq8AibRL69rXYHnz74Wu3s/rkCbz04iWn1fgAYjAFpYbpLAQmHAYR2fhoSlc5Ub7XKVe1lyQ+u3t2Pr02fAp43kq/1Mp4Hk2u07LK/+FSbRz6dsk132jgFSCb95LfO6lBsbvnYhivuE7tfc75x4rpeX2vltC7KtygdAGG9wSykubsLzxWOQzJtbsva9GZaUIs0aIpD0iq4gHyyBwS/+snj6NbyMRwiN17+N1lBiiA1nkU7GyCFGTNBkeVWkE+ipPFMpwV7ybZqrR6JYopieMH2MgHXZpaPAfThvublxh+fugxH1j+Z2uoMFjIXCZD4LRGYdE5rSpdaDSOuXSF+CQRQus5xfotyVlM+mmk38KXbJ9BM51G2uib/orAl5fy3yBdGs+sZ19sYI3XOFq3i8dPCyAdBmRuO69lM8qEFUDjVbtE4JKIX4dw7Nh22mDrjqTNfQuObByP0ofdZfURzeif9ivKJjsNi9wOWIz3imRyJvonlE1WOuB85//ahX7jHx9h2D5J7syfHD9l1fdBjHh2/n1dfvZ/Ht8hzenS3P1llm1l5Liv5iX4nmnAYAE3qn/5l72BLzKa8nW6Dyg8+nt8BLk+eAm3vgWR05se1RXiUWosQ4ozot8Lp1HKa+zc2olK+qGiJmn+Tm1U+3cs22Wrjji4fEqI+OjElDEIFzctUt+pnCrY55MOmMwVP7n+19vzBqUQtwgJzptnSU+7yeqZyE7Oy9JxPvvzQrUVTtpmV55jlI8cdOY4DAk02CUrG5QhIROhFpzYnoXwEyGKp2thP4r/G8vGlu2PhezOnsI+HKcTEWw3IZly+eTcJciGbEehGXbKCFlk5JHZA3JArxMoIlhbb3EsNBWoksY+P1+Nn3G8u+RYGMystIABSDB26hWduEAkxRCTMPu4YhiV8KYCIWqlRfj3N97NZ5GMLdsCh0V80v/n0B5mYc5/fDF3MAGlhZuXfqK4ZvoKWFZ8dr64JiuCrcaSI3FevdXwJ3XrJRz1oha9ePxreWjrKQzZ5KpLUBE1IXSLO6+K9t7qVO2jROR+bqgnHLikpUaQ47+je/SyfrLKFM+0W7gip+TCiWf3pSmbBH2kLHudlsoX4iqm8tV8j4z6XDyAIrb0jV+pff+JNJGz3KKjK+47MC9tsyrYw0/03ydMn0IBDYjioeY7SppGeLi+Pki7sm9pM8aOspXw8vTLk/+LuU3i+87B0aqTgcU1tutW5lBA70llMHKftCUIIQnJfDZCRpzH3k3xg2QhRCym97E9CRbO+DkjCTrm1IxJyK0qtz91PvF6O8/t+lA9H6tedL4y/ah3ft3zfIUufD+w6IbOQ5idXfoPyEDFCcQrxcACy5G5Mb6RuNeEPZixXt54Ib7JO8oP353YHb0ychr1wF7VslLQj6tAuflnilEvNhpWZtYQCWzoA5n6WT3fiT3ZXcKcbsGkVQ4lUTCJdCBDvRG2uzzmc7BNR6phmdGyh4f6VDxvOnHtszyvW7xy+k/Vdq54j1UPD65o8RX1iRlxtLeQngDTbpYCEgxBCJ0mEZnpolc4OQhhq6pn4lS1Xn2O15RN+wcVbh8KP55+CAUtzwgEFR1tGMv3aynwuNqQkP3gCQPxT1a7hRUnG7jv5JP3dVGsFdMhuf/YjkcNi27HMC0U2k2cNA0nrqMn12J62JBHE/SQf2lbXeXj0YuOPn7xm1xs4z3Xc6ynxPRFC1OPdZkzzKl29bs5HJLbVRshHIYp8SFOLn0dC2hGTpZQydEwWVVSuJgmwYACRJvDSCgN4L8jHnZ4TvHr7GLq79ARJc0Ic2cwXRFahE4crSSBAovRFK4j+zZ1HUcQwTYbCpxV0Wsc/VJYWRaovXFhR/ftKPsQYTbVX2KkjYoY7UTE6VxLbb8j3HeYDVhZYmfiI5erwtsHysYXsvc1rzu8+frH52C6ToTOoQXNf1I8BaXZq8fPkickxfiJgEKDQJdgldGK5bTvE8xL3FAsEEIlxSWSaJ/xUOXQaeA/JD++sbAt/efMUXuiOmxaIpAkXzShOjlMl5lTiL+FgpPowmIWUHL/K79MwGw5g9BPF0aZfuT+pC+bWPSEf4HC6tQw64l42/tymJf71+k7uTflwuHbT/syBn2/7/JFV2+4R9lhyfmJlrZd2RTmDyE8spNkWBSTyk4Am441MdGp51jVnz885vdfk43cnH/Demj4Nu8EONaUtBSSeLkloenHHHFn3iYErXvxXkgpE5VQXIr160KXi27oH5eNgiji1A1+NxNZNraj6lL1nPCkeT5LH+wdPspdaOFBGizipnlJ+r8kHjrVkH3vglaHfO34DgOJbK5g+ytJzLZZNMGL6+NdOPgqiOKQFDkip/EdKPiT1GYvS6+g4L2kXr5p/aePlE+ut98qtx/DH8ydRGNZlJ20y8iZ+IflrUMsTV68u5b3KL2+Xxb0lP5hcWZGW/XXmpdCHeBKjGM/j1TOGxrRc4EExOTl/Id8AuMfkQ9vynIOjr9e+deKyU+svLUj+S9+/FCiIfEjzc61z6mvoNtnqNrVm1UvTq2EErDafsom87jX54UK75r9y6wSaWD4iHI1BH5l7IZLnZ+5qtdxEl9+F9Px4vXtFPppqLaO2bsqmR4YkrxS3K1NrcvmqkShM6/8bK5841+3djXdrXz7xWu3IDvVcj5LvuHnJEUI+PH/1ag08+Fg8ZVNSQBZ6exYAaYpXUlnk7LSVU1Dec/LRjbnt3qXbp8NFj6Y5iQZtelxS8oElS0lp74U2IEmYvpCkluoHqlk+FzTDZGysfLK51p9cWoHarSOFmnFTEllNZ8I+e+CV5rmHpzflC67iS4XEQiKAhPc8HFlIebvKmHQbOCDU7F6zHQeEmq0mpvL0u9w/8r1rE/t7V+6eBl64PbZUyFCY5KmLXy9twZhasTglcYozLsKhBhssH00uL+N2FKkdGysKJGuMlRiidQZOOlxLUZ5iVaXwfoPk1+wV+/Cenw+ff+LDVfxmNzWrBJAefIwCkrgVRNzyoa6q6baEiPSx5aBsHRHL+d/q1hJd+b0qH/YCy3v1xuPB9bkTGEFXO0ejmEH+ZwAbwVkdU+hIhXVKjJLtFVIP1c0R11F+MN1ahhyQYvdPEm0lHlFENaI4tfMmbCnnNn15RNMQ634Mm9ZXPrZAaO0feX3494+9ae1003vO64bNsD1lxZ/TGfek9hkKeQ/Lp5tr6ZRt79gXEE4CIu2M+KJQULFIJ5Xz3uEAIJZbMITQjuQIfDAM4f0s359eafi/uHsymFp5LD6iO/bAip5a5bMRYo+4YRVHioukSlgPoTXSxeYaHWLo6UT0p4tHXGX5wd2VZdwVcmpv6vE8/XLWaOPDoS8/9op7Yv/KFnv1VXndEOEEkOJ+zAGDOptZOtbcn22T/h4vlqh70HR8YmBS5JjKM5/hHpHvfzy3s/f65Gm81N1nfF5uFRhyJOXqWrIqSPQXlI6rLlx/DeQH060l3CJObTUwMuOpeD4jIa9R7juIBNp66ysf1q2Z2tmDPx368hMTpZ69IpY0EAESroEHW1+odLN6Gui9fnfcf2f6GdALaZoT+hNnFSa/iFQe4bs2FbjwweXNc9ZRfjC1wnxIqp9I2rcnPJB6/hDfg5a5XM/3qvE5oaBYky7WSD6Gdsc9vOvV4T955p383pOfD4jxyMtvlLepw/Qk9778kGwdOX9VAKSicUWZe0u4QqRESebFu77ikAxzSnOipnWXH3o9u/ezT4+im0vHMUIs7SEmyZRUNMq6TncuOT4ycdgqcZNxRal8jeX7ZMom+JBST68GLEZALYUUkxxSvFxHHx2pTXnzE1/y0YBRrJJ8YIPQfmDb5eYfPvVLZ++weIZz0Sep6DQaCEM6ZcM1vL/3b+UYbQDEqROvS6ZeeVMq9b58Tfoai902lXNZm0U+mvManZ/dOIVmWo8kbaAzkVgZc9xa9Lx6NYOAnCZF/sL0Dl/VNONPsDbyw8nWEmr7WclHpW4Ypx2hqaOi46QMn6pEq6QjybqX9eX3I98art1wvnDoZ8NnHl4ohCp5iRn79E0Xkk2I7iP5CiClX7Hf3f+FlZVDuJnke+9P7+69PnEGt7w98mubbBslwZvyKUuHWoqJ4LLotPpePfnBxNIy7goJ2ijC6o+fKttHCgdEqMngVkt+3Z2rndj70+bXj97MenarVpMNPs8r5octqxAD/f0sHzuuRy0ktLf9RfZ+pl1l6turC/HRfccWpkbCLjZaXmibriBIR89v35/ySUR69+LdQ/77M6dggJPDhzO6bPbuB2XJu8weUvGzWSX5wd2VJdzqMgvJlFw8bmH5YenivBS7FBFKfqaIQF3ll5QUXayWfAt2nbGRX27/dyeuoG21nM0oq4QqW5QNAySMa2i+RwFJXA3TTZm4nnRTtyJTLFN9sZz/vZnlo5WO2/nZrWPhnaUnSbwDeWckpw4SuiRDCysGDQxI+hPdzyIpUhDPEBCfJB6R6iuxDS6rIx9NtpaYD4nlJY+/XnJAMMcXKWoo/X3r/f1mBEof1hkB3aDyIcTW7ubVkW+cfNV+aFRz/KFngI1aVJ53X62u0nM+JnTK4593/96TXyeAdObiRffQQ0d+C0MnGSeztt8X2eZvMGQwEHxQAh9aDoTEcFtEvn+3Ney9duN0ONd5iKqM5i/TAEe0qBZPW9TrGNFjOKeeYUaP41X4ZNoT/ZVKWzSYfDS5shi0iA8p2VIsd/v0MhgLW8wr51z4AVP8Wq6XgNlg8q1t9VtDn3/4J+7nH5ndosbKhrx23a2z+e2X7t4d3uY0j2EM9+U5m9mTpjIipRKXiLm4E8srQRr9/Xxn92aU37t6d5//5tQZ1PF3svcT51BZSc2IE5z4aIgTXDCxUokZDXE5tJjtneP78AaRH95dXsKtIEjSqESJ9yHiG/tTHT0VISBSSK9uYQBlf5RqKcZWZJzGpZx86FpLzRN7fzb6J6fi7R4muyXP/ihq7+TRbSX5dafekbwHX1ta2uOE7nGAkXQMtdZjI1g4tq2u0XHYsEEoZFiS+PD6dhre1F67FeQT0G7//M5j3kezTwMvLJZnVFGUDDuJs5qWR9MmCgARCsT0ZXxPGWNnONFZRK2e3vmX5KNjHKJknEKeOrncKAcpqalMO/wVBlnyIfSt8dGLo3984o3ajuEs5yUAIA9C9A8e1OU5udNjr2EqN6t588m3ugBb9frsS9vBfNqdiTH82uTioVqzfl1ZIwAAHaZJREFU8TiEwGVbP0gbJdaNDBBJ+9mCU5uVsv+T8kJbTuhWkwSpyNaUrSbfX/Tc7k8/PunfXnkC0sAlAiAsFyW1nbTuFBIhIDYlO5WR1uLlknMmB4Go6SFkjisoH020F8NlAyBlANmG3SKH5u1svLf9K0debjz5YHwK7IY9zxYUHIJwaW7P0PQFyE5CM66vnMHYfWjFewIi/DCGUaxaEEIkJPO3Ar61JIEo+T6Q0pJYQRKHpNKpuSphlM5EHK6IvK0iP5hYHmm/fOMMmu8epH6WqKU4rmTZBcl2UtbD1esI4wCJwyFZFhNeCiXZphI5yYvID+4sL2LqQ+I/RGIX6eEs6Ziq9Ncnbr6VN97y50r+jdjm8DXLh0PW5NBzD/142/OP392COLDxrzxc7ww3wdT/CaG0YJAbI/F703jEtoITFgyV+JnkndRVt9V626J8i9KVfa6ifIvS9SO/+/bU/t7lu2dRh6U5oQ1G/8ec1aqHKbKjBFGMIkUXtTz98MXUufyEXulhEwdVlnx0d2UBrXhhsr6WfR6bqo9Mf5JALNIRUGWIys/qFq0/jXzXWak9vuflHd8+8W7Z9tDRq3E/qXda4zik+02+hXAAnHD6pV27FnX6zAUkXunLUysP1iz7uIXRsN6pHZ3rFo+PahzSoM2fl61788on1kD7xx894X009xRE2BU1yYCGLakljRmdOBDfoqtqfH1fBid21ncMWmoWgQTIIkkKsonygztLi6hFAIn9YqtK3RvC7iodIsv209l4mqBLJShSlA8tELoHhl/f/scnf+nsHaq2ewz6OZasj2o15LT8+Zf+9/9tFrzwgjGeqzAgUfkvYOub/3HpscCpH7HZcZGsa4UhREKWAF5ushxM8U79xkFtFfl4qVtv/fjG0/7E0hFxui0CSsl+wuFMXKJTWOR3EU7h310mFpKQLFzX7zSbYYnEoiGHsQGkVBCDKuNb7A97tPFh8ytHf7Lt6T1L+ZtXi2owb88H59PvZti857h/5FvAWd65uzn1f0CYOxDk9zaNXn4X4/rQQvsYCsOHAFliIz/N2gRdfRPKLSAAl1q+BnFIm1V+7+P5nd6l22eCpd6DxnjKyAYhJ8qS5mGHKCbfPffRZJXnfRJqzrlwoj2PVrpFoSXGoDio2jRny+KY4Z+HTWem8exDF0a/8sSt+F3y4g3zXrroOrwpPnILybcQ6nVHG5N/D2E7T638fl+AxCt/Yx7vwLh70oFodyggjw1sgGw5P5L4QOxctvR9tdwKgXAunLCaR7ZbCwwZ8Mj3t4L89qWJ8eCd6dOoF2yLvUQUfgSbKXH6MI1J0yddhGVCEJ8CS2d86b0mtHbcgzAIJ1oLgWaVzZQVpFAnJT4tIQeUONEz4RS0YLf++O5Xdvz501fyfCyFnqEiKqcBjMMu7s78cMeO+XIV848JLcTvD2bbY9CxjgMUNmVPjwNCvt6vxhspcUhckGhRkQMok5+8iTxNx+5vNfkwhFbrp9ef9D6ZPwHCUPIvMT8NoltNpKgAFklAf2p5DFgUaDSff5xgjgeAs+wERE4wsbwQLPtanLCiEHQOa+RwTHG3PW9n9VBN8SkIY7WOSA8tGNb3bXtr6A9PvlofH5XmNFZNhmLkRSvHhnJTxzfxyftQtoJ8kp+01qjNPzEMpl+A2jNO89RU6KD1XCaE4DzGNlr2jgCAj4AQ2pkHTpbZGpITppYcNuCw2WNEv9Xkh3O9ZudnN54JJlqPko+Un4CrDQ8wmRnq9KdAwCR3GJHtH8GdxYVgSQ9IUicyb01juSZNJpUp1gEB4I42rm/7wuEfN54bX7VTYAt1/IqIasCxwtbKbHPyH47AgY4DH2jKpmuLr925M+QOjx6H0DmYTmWblQ9J5iZuLYlHz1A+143wV59B3pKiozflY9oc8rvvz+7uXLx5Fq14e9f7W/FvLTKntu5nWkTT76Yt/Oiw5s4Pn37gxyPfPPVx4UoV4appoOZgD3n1yZcegKuSR3zVAYm/6e/fWtoNh5tPAYB29Pv2KqAZzegQQNFn1K88td79Kp+sVnZ+OXGoe+3uaeyhoWQ6RJ0+2uCgyPMd+2tIyKR4UkrKg8SiHWloJeUPIfZvL8SAlMKfrBzeyukjWt+2VB8DYNu9+iM7X931p0+9AXbmbfcAAOXEA+X5mtT6efRqX9ps8msuDgMwMvNfRsCc6OMb9NtbM0DiD/aN+c4hC8PjGMG8ZMEl3yU9KVNX1ThDU3lJgQr5vS8/aHlO++Ubx4Ob88cwYnt/yKqavJGWQ03RrkA247I4aeLQZr5uVjeYWJoPljryllhFa9qo8TINAQGu7Rl5e/vXj748/OTO1OpN3k4v06bYMo9AaE2LZZtdvoVrOMTB4tLbQ1MXnmfbPVbzV7QXDiTzHMbO6HzrSQe6j5EU7RZKTjNBVpJ2xFSuCid0aj3xmtOrdGI5/3sryPcnFra1X7l12p9pPUzem7hi+DYNHhZAYSUCGvJ31ko723CS5Enh1+Ht5YVwuRdXJQ5oISgp2lFbcDOspsdZw7Vbo+ce+9HIFx6dKtohPWUzbM0IJUU5lqPbTPJtC7XDlZnJl8bH1+w48HUBJN6E56fwNmx3nsI22C8uh5FjxsiBPqJFw/+WV9NsaXmfZ0Ex5I+kTm45DkrwKUn5mLaG/O61qX29NyfOhi1vV6JtNjNjlk4Udy30CnGmlFhEUVPRcIBkYhfeWZ4PlyMfkilas58e58Dl4acP/Hj3n516z7jZvmx8UDlcSajLyskzmco+xwbIRy72rXZ7yrTdo+wrZNH30z0Glv/7y8sPYM89BWyW5oTEG8UWixDxTSKwCwnTIFLiU7JpJLnKh0WWM1TaavJXXr15uPvO9Cnshw0SSEQtHK4gxfIppP+IKLizMheudHHqdCO+zUxgpmaY1Z6IZFt+/eEdv9jx7Wd/Wd+rOQW2zMNVtKU1gDBAFqzNvrQNzKymn+ieAyT6QBjD89O9x0IXHAMQ1kwZlZKHV3w2sumkDxXPSiQnxEGZMzJlxCfc5/LRku8u/eSTp/zby0dJmhN+wK2us5i3psQZlWg1/9bSfLjSU/fxsixwqZ8xPSZNW2nvHHp359ef+MnQUweWxapqPI/qzTE5j9cqDmizyg9AuLRvV/Nuke0epZEuo0IxC2Q1JSq86CEDB/zj0LEeQSC0lMhGPU6Znsc4d0tFTEYclDldXiLMPD3ch/J7n85tb79880ww2xkj8T+SecPNGINDic3YopuW9f+3d2VNchzHObO6e2b2ApZYAIIJQRRAQSBAHAQXEEBSMinLZgQPQIIl+EXhCDvC4V/gd+NP+MXv9gseGEGaZlgO0whKEZJtSmE5SBEXce8url3sObsz3VXpqO7pnj6nu2d7ZueoecJ2Z2VWZVV/qKzKA8z7i8/4ShwgJSku6nCEFePR+Gvf+vS5c4dn0tSt3hevAW7RBufluY+ezx7uUWQvthyQ3MFcXFjYznHkBCGzy1A3U+k2d0bONXzzEDy+RLd7OuKYav6gX/m3y63pr+TQhf0vh03+yu8fPl/93expWre223PiS4nr7YP8YRzNbZPzLyIwZ1cWxHIUkOyD7bjrtYZ5yCRfXVurHN79y51/efwLZgRLCRW54BWveA0wgyxDlB//8yTmDvcoUqc9A0geMD2t7hWMnRAMx+TZThb/ojBd0kYlrLg0umGTL+qcVX9199D6jfkTwCk5DLRxmB3WZ312cYFLQPKckNJv1GRakNLebb+d+vmR35T2TW3Ky9fuT9GHyHm/tj6Tb8lwDzQXXh4be9xuuEdeFbWi7zlAavxvy366Uv8ucTgsBITis1qc+CSFjiQ8zwtQLn2rW73Y0JU+k8+XNsprn905sTG7dMjLndsYvAcxKK/0AezdTeNXn1uZ50sxFYMSVqA+Wf564t3Dn06c2Z2tCmyRK1/xAkR9Zf1p5eFmwz2KVGVvAlJjhH9FVFmcXz+uIXzbS3PSqB8XNsVcEyuQ8tZX+jv83FViUsxb07TTnMJpvp80FYdBvnlncXL1N/dPW4u1PYE4Wx6NwJfgZM2tBgDJCeD1Zw+QfyPgiD5fOb33010/O3qnyMUcz6vPtiyFKyQ6fqZRjW0rz13GYsI9iuxyTwOSZ8YtLe0wzdJJprOdAceipEswbysTPLS2PyPW+EL8fkhOwETzy3FzPEk+4du0wN++qYgLAg45QvWr/NXfzX5r/f8eTfMad6rR2OkDosuwfn91nq8m75BQw43ywalf7fqb6f/VRo3MeZMCksIpvtz9c97n7X5FeeUk0W+FfAM4jJcefwDFhnu0O5S4dn0BSG7H//zZ+gsAeIKoGZ9lv4uxodDnAU4+z3CXV9L7tHaxyh8C+aKObOWzW0c2bs8fA97MFmp7fDeyApgzK/PW8obMch3MuiTDPfaM/n7Hz1/55ch3dnTMy7fID2OQeMnLU5OVni3/95XHV374w8LDPYrUVV8Bkhy4THNirdYPI8BLJHgjYVLYqPKrKOBwFLOlCbdtmbgkYUs0PPLNp9WRlc/unjQfLr/YzEXkbJdq95ciZ0jaxOjdiT878B873t7/xD8rwmzkIzLCOS83l1JRmE7x0+hNXdB0GRb5Foe1qe0wF67uUSSIFMmr7wDJHfw5otHyivUKJ+GUobZXoQYgYmynSJ4fH4D46cPtk/h58kJBX0Mkv3pzYar6X/dPW0u13a46aneXFviyswHCkrE4emzPf+7665PXi1ywilc2DZBO9bJVfnh5B8ZW98jGpftUfQtIrqremVvZZYxWphkIuwy1a3L5zbRWz2SbNJPOlSXp0ky6YZO/8uuZ/dUvHk5TnY/W7y3N82qtXvr25K93/e2Z/zFGjZT0et1f8IMuUYZ76Gb9yQffGH/SrXCPInXa94DkKuMnixsvEtOPI8ky1HEu1y5lmkkWdsT0mxTxfJ3qKul0Tg8GTz5fM/Xlz74+un5tfnniT1/4dPzwHzWTdW3OAsu/1of5Uo3xxW+MdD/cI/8kJbcYGECSQ5z+/HNj74vHjwLRIV8h6GTHpSI1KXllDR0pWq7Lb4vlc53d1pgIZA6kulnIGsOSETwo9/gG3dQwlCN7KORrVKVt5dk81T06tQQ3y7eQxbLZThTd3q62q1uvcrK+iRqLBHYSF964/e/9z90+JbUPt8tC55l+AyqfIbvNLbFW9HwqfvEaQALL0kpzH29xuEeR8zOQgOQq6OIq7dkQtVNokROfJb3yYgAKHIDw+SH5nGy4z11GYwDhvz1LMEQXsBB9OcsGWL6m67c8QFJ1yZwVULQJWQfQDBA1LD391zF4DG1W9ygSRIrkNdCAZCuKCM/NrxwCXT+OQqY5afz8wODbsQQAy/+8ldbDQCUdc/xnSnF8BlA+6nSLmFZIsvciF/kg8WKmWDYmK7OXEYvKxttT6hl8QGqo+yJRaaMKJxjxg8R5wM84rdpPu+/T2rkrIY2u3fdp7YqWj8huEdMVIHXgE9d02NDLIIFooPU7NIDkrhG72q5hnULAPfKZaBEawjQt+N7Jk++4O3kmWfPWTNK7Pz9fm49vkQbKog2QfAlIjJN9hpQ3YqLoiIxBkQ9E3NJLDz/ahk87gHM9x3LoAMmdgR/PV/cJozSNDMadkt1NyNCABUp9ezsJLlD4TC3mmWLNvUjwfTB9ipMq15ETphsE+YJbtzRUO6QivnJGRKxSmocReHgZI+m6ihDRkzyGFpAa50vswrP6Ea5pRxlE05yQEIgseksXnklJJ3x0WQJJJI9WdPJ9v8lHpFsap6BJEUkeU/B3EN4Khdn3oXymGysTZZjtl3CPImd0uAGpeb40Unu2/irT9AONIhqt6wAlHc60KlHt2XIh2y3RlmsxzT0qn5N1yyjpgRzY1IhZa44m71mscw+BoZi3KF9HQjpd78pH3ajpZmm238I9FCAVqQEfrwvLNGVZte8hkhef5Q8VcUlJ+NKY2DuZ4N/JdG71k+wejP0kn3Prlq5MttyrkwzijEqPPhiHvgz3yD3gFg3UDilGOefWaT/W6qeAoVeG2jahZIgINHN6B2yumIgQD3Ya7xgEE7u5orOmyu11+ULDr3XXZMubpyhpkYZNrjQTzeXTB/Llbs6sW8/mnhuZ+y1i1pEV+f33HC8FSAlTItOcmGvmMcHpKAnU/TFomiYLVjYbOnnYgg9k7UVvp+SrO2c/05zajHHv/TFxtvnosW3y71X5pOk3de/av93vKwlJsn47/dHe0o01LMPMIIR7ZJ2ZLHQKkFK09DbR2NgGnLJMc79LGg2xldWbogkQ5W1d8PYsufpcbMJJX1rGVnzCcpr97K58AuOmzmCg/WSyfFStaDiBKcZh9mPc2uoemx1Hp9orQMqo2QsrtFswOIPEp/xN8kaShMWlRaYk8Xf59JJ8BvQ1hW/ZMuo3LxkzgsG2wiwmiDdrP/LKl4WgTMt4/G874dGghXtk1VkWOgVIWbTk0RBeWK4d5Ki/SggVJpolwF0SN2e3vLJ3Ek8LcF0H5OG3Syfc3N7S0TKGj+ev5HMnkHRp7bZWPt3sFiDlmrYtJibki5XtlZlBDfcoUr0KkNrQ5jSR8fyy+QoKOIIaYzJLQFy0fxusA02y8s1Kl7c/Wfk26WIAqdP5kNJu8bdQPmm0XtkoPbi8e7DDPfKuq1b0CpA2oc135mmbodXOAGP7ImzSUnnLBq3yyHk2WUwH87RLSxmePV9csyNJ8hFvAqMUP6TWCk/yI0r3L3L4ZqVL6kUh8mvESa/NfrRt21CEe2ziE4o0VYBUgDbfr1b3Grx0hhNM+j0q5S2Z/zbNrR3kmHOND8hnkhEIDJ+Nx3mKSzo/XwaAAlyP8ubhetfl43CbbLKUli6sJ9qOEVnzTKXvbePbUoDUhtJim8g0Jwv1I1jWTpIQZWcDFLzlCp8BuXySnrtnUJ48edbkO3tK63q35aNh3KCa6dyy5fUDyhriUVQUbt7oW1fZCe3QEsvLC+UHV/Zj9tK9aRM4hO8VIBU86e8QlUsr1jQBvUTAHP26O6JGaIl91B1TJpExub9qxs4xEOiR+ehturS/fXy6Jl/DGwZzQkfMULy/EQ0VtFWTRpeMP/FvmjgYfN8x+YJq1njp/ieIywUvpaFkpwCpQ9P+3iI9Z1TgLK+be72dkMwi4NvuOP9kbp3FxpsmhfPGOWsSvvt9+Vz4ODGNBd67pqFTlSnIr5PydcQb2ACksFrzbmyKnpai5RMBhzGY+wBUuEeRc6UAqUhtxvB6d51eMCx+Fhg4ZagDv+jpcDSPki/fUgz/cFk5lyTpeSfl60g3unXtn9cPqKhpllVggfj8wmRl5gpiT1eBLWrM3eSjAKkL2r5ExD5fg2Mo+ElsnK6g5sTEyfi0Vl1w6Vza8N/htnF8sz6L60ce+RrS9W4BUhemLSICK8aKtQAPPnoeq1shfxhkKkDq4iyfm6VRmLBOI9F3XbOqpXh59pQhHxOgQKD0vE25h5pTvmZo171DbVdY1sPq3J1LaNDuYXUL+URUt8ZKD1S4R1GTlMxHAVLndRyR8M4K7TIYfw2EsNPoZvrF+TVFnmVPa5JJpp8og3wGeB0SzpBcVuEQj7DpFe6XS89C+ZBEJM+S0zIrP1dOK3oZ7gHV6qMP/2H0IVxq3i/k1p1qkFkDCpAyq6p4wvNL9B2A+lkiHLO5+50YQ14sAdMJgmlQEDiSPy1Ko6vh55552Aq33GG2IZ/p4rqohTJGFq+2rnDkIBZGZ8oPLr88mNU9uqLENoQoQGpDaUU2eYtIn1g2TwLCCVk1zuEdj0zIASlSsjsOQZz2yDmSfVbloAsCtACucCnwKN80+Sh3SLzhqZ3mh9SuEvNel+U04VBQdWm9dO+KCvdod4Y21U4B0qbUV1zj80+eTMDIxFlC44B7oy93ODHuSiE3AXkaJaua+G/jbNTy8i01+ThbI+lMQEwjVw6Bc7Aefp5XPgO8lmayFaexYjkJAhMFzAxLdY9itVccNwVIxemyEE7vrtIeRvz7ALhTOkB6v1Du7bBjpAsuAbKwA6WdeyD6s+U0XoTb55PPrgGDQCxbIUrpIBMCEAbCY+1fYO7yX6hwjw6qOhNrBUiZ1NRlIiK8sAovcYTvAYqRpvRAfUv7ccBB0pfQLQg90XaJSBepIJdUhcDhEJAv2DUSjdCRhgDUg3mLyHLyFoWfJ2m4XXqXXyv5wqot8W3le58g1ro8w0pcggYUIPXw0rj4JZWs/TDNuTgGjDE7BMTvBuAL0vWG4b73v8v6LE4XYXkt5BMX1wCD0f69qF7BjPXJcbj3Tyrco+emRwFSz01JtEMXibbXl/kbxPCFuO7KM6BA8YGCxpSVr0tHIK6BCAGS7nYmzSEpLQd3UvtQu7DvtE8+AlhAMPvhGDwGRO+MrSB1KTYFaEABUgFK7BaLH1er+4QofR8In3NkJiVdcnsk36eVo8za+3RHJLlDQkPvapCpa9IlmWj2c8sEU/AnG5OVByrcI+t8bw2dAqSt0Xv7Ui9dYuf/7u+PkuCnAdFOc+IUt2xc7Qduz4L5mNzbtGhmOLc7UQclf104Es26coGqKa58xKvetX/7Iyy0JSItVyZKdy8jrhfKWDHriAYUIHVErZ1n+hZRZWIVzggQL0v/oniJEkB8deQcujhTJeF5uH2EX1AssqvATeeWLdEPKW+ZopCpZoZMtCR2mlGjMbinwj06vxaLlKAAqUhtbgGvHy3T1CjwHxDiNwPi/YncYosIJJh89qG15wOQa30QiqvIumuyhVUu04LUAeb+fRTm1DnRFizITYrMteA2KUs176AG3tugA8yCN4jEdk+MxgAidZIaYBPIpR2i8yw4n7tAhnpNWwlIMn2s0GB+bxnu/6OqAtvBldZZ1gqQOqvfrnKX1XarVXiFhDjFNJZ2rQVZq4pkHQQJuIoMunqobe/zOKyur4MK98g6UT1MpwCphyen3a6dIxoVa9bryPSX/KAj/+3ydMs2+Z/FyfOXd0qjBWRfkXuG1G7nc7TTdaNOHO6rcI8cSutxUgVIPT5Bm+neBaLd9VX+Jmi4xxfq1mQpTbpwMInPlItWLYnvjVP1BMgGJNY41PZIUzdquYcoo/DYBjw8uQNmLqFKC5JbgT3cQAFSD09OUV07v0GHOOdvkMDxonjG8kHxFXT4UJsxWOBlUOEeHZ3IrWOuAGnrdN9VyTLNycg6nEIupgHB81+O60TMvgn8IStMCBSBEt9OdRQG4ivOKXCGhEYols10Ytny/gyNquZY6Y6q7pFXc/1F39bi6K8hqt76NXCeaEJU+Q8E4UH3uZMnyeef1Egz4JRragbXptERiK/ABSSjYapF/IbiTTgXIcORH0wHU6vDgw/H8ZGaycHXgAKkwZ/j2BG+/7S6V1RKbxLg7hZZTiKx/y6zYJoSGfcrZGHMP7i3bIkhZaHeJNFxACohPDIqcF9VgR2eRaoAaXjmOjpSInxvFV4GBq8DwuhmVYEM/oAi37V/HCAJDkuj43BHhXtsdkb6r70CpP6bs8J7fJGoVN2AM2SJk6gF0sLlktUOIPkFcAEbaMHdjyfxWS7BinhgNKAAaWCmcvMD+QnRZL0KbwLBAdcdAH2H1xSXf8kW6xyDI4jcOyS7ORFnuvHgQxXusflJ7HMOCpD6fAI70X1ZbRc5vEUgprLUhbNv3YARAnhnSFn6JTMGWAye7CvDPRXukUVjg0+jAGnw57i9ERKx81U4wQFeIxKVABNp1fmTejdS5yLAl1lDR4jDijkOt3+BuNZeB1WrQdSAAqRBnNUCx/TafRrZvhNeZwTHSQj7Qo4BA/JlE5DuAPKWDUF8GT7URl0PpDshgjrjcFeFexQ4SQPESgHSAE1mJ4dyjmgnX+V/Qqjt8+Q0/AVcR0oUyTskWQWWA8z8YgRmQIV7dHKq+pq3AqS+nr7ud/79JTooSvAmcZh0pTsWnADU2Rdx1/7E4CmV4a6q7tH9+eo3iQqQ+m3GeqC/Ms3JugnTwoKzCFByu0QMAoBkCVhjNbj9yRR2PSVJD6hJdaENDShAakNpqomjgbeJxrQq/DFDOCJLrQmCLxnCEicwSwT3VLiHWil5NaAAKa/GFH1EA3a1XYAfCYB5ocHVCRXuoVZJmxpQgNSm4lSzqAZk4YEriBtKN0oD7Wrg/wHwB2J9dMwwWgAAAABJRU5ErkJggg==",_K="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAUcAAAGCCAYAAABzbAFsAAAAAXNSR0IArs4c6QAAIABJREFUeF7svWtvG1ma5/k/ESduvJO6WbYyy5nlzulxbu9i14MCFthB+UVjgf0A7o9QX8Ppj7H1Edpv9vW8cgGNWWAWxgA9W+7pLHWWMq20LJEixWvcIyafuFDBIEMkJVJKSkGUK8WIE+c5fCLOL57LuTDkn1wDuQZyDeQamNIA21Sd+L4/0XbGmL+pvyVvd66B+6SB+9I3Nw6OacWnH6ockvepm+W/ZZM0cN/65kbBcZ7y4wcpB+Qmdam8rfdBA/exb24yHNNtH7vVORzvQ3fLf8MmaSAFx3vRN+8THOlZCgCZw3GTulXe1vuggTlw3Mi+ualwzGp3Dsf70NPy37BxGkjA8d70zU2HY9z+ZKY6TGPn2euN62B5gzdXAzPguPF9cxPhGLc5K66RW4+b28fylm+oBiI43qu+uTFwTL2ZMk33N78EHl8Dfh533NBeljd74zRwX/vmpsFx6s30DmAvo0TMWwCvwr9zOG5cF8sbvKkayLIaN71vbjIcr3Krczhuak/L271xGpgBx3vRNzcOjm8B9ip8fIK2vwfYC8B/ByCyIAPLMR/Ss3F9LG/whmoghuN965sbB0eCYmSuJwEJAmQERT+PO25oL8ubvZEaSFiO96pvbiQcCZCRxZh8mMZwjA7mrvVGdrW80ZumgSQc71Pf3Fg4xm71B4A9v7Qa8Rbw86TMpnWvvL2brIE0HO9L39wkOArRA0RtTv7DBwA64Cdd6zxjvcndLW/7JmnA9/172Tc3Co5xwPc9IGihxZjlVufDeTapd+Vt3WgNEBzvY9/cRDiOrcbDKGP9LJGMiZMyueW40f0tb/wGaSABx3vVNzcKjil3mhEcn4UPkZ9wrb0YkPksmQ3qYXlTN1YDkVs9Ee66D31zM+Do+7QHQjrWGH/HIQAL8KO4Yw7Hje1mecM3TgP3uG9uBBzT2bAPgCADjB+B4Snof8lhPDkcN66H5Q3eVA3c5765cXBMJGPYEcCeAjgC4AD+M4DAmMNxU3ta3u6N00ASjvetb24kHF8A7OgIwlMiYwKO1gf4z5/DzWOOG9fH8gZvqAbScLxPfXPj4AhAODyEwJ+B8ShbTVYjudYfAP85cjhuaD/Lm72BGki51feqb24mHAGBwBjDEcfAwQG8HI4b2LvyJm+0BqbgeI/65sbB8QMgUjLmWZS9PjkBc/fhR9aj9+4dvJcvw7hjPpRno/td3vgN0EASjvetb24kHJ8D7BgQxMitdhHC0TmEf/wM7ssoKZPDcQN6V97EjdZAGo73qW9uJBwLRxD4U7AYjjgBzH14BMhjJOFIzx0Nkcw/uQZyDaxDA2k43qe+uXFwBCAeAYJyAgH7gHAK5u3BJ+vRALxngPv2LfxXr+AFPy7fhXAdfSKvM9dAoIFUzPFe9c2NguM7QHgJCAEcAUGI3GoPl3DsAt4PgPcKORzz/ptrYN0aiOF4H/vmxsHxABApS52E4ymABuAdAN77BBxDwzF3q9fdQfL6H64GknC8b31zI+GoRskYshz3ABAc7QiObz/Ax3O4ZDnmcHy4nTb/5bejgTQc71Pf3Cg4BgPAAZFugJRyq8m13gfcxFjHHI630z9yKQ9YA4mY473rm/cCjs0mUN+Bl8PxAffS/KffiQbmwXGT++bGwZGy1TTGMbYc2wCjTHUdl3A8A7w/Ad7rfCD4nXSYXOjD0UASjvetb24MHN8CwtfvIbx4AeEEEDuJQeANwD8B/MoR3NFTeDkcH07nzH/p3WqA4Hhf++ZmwREQXuASjrvRUJ5zACbgVQB3hByOd9tdcukPSQNjON7Dvvnrh2O40jBtuUo7nImvAEaWIwcEBrCLyK2uAZ4OuPEUwtytfkhdNP+td6KBe943NxKO/3wKruxNzq0ewzGaQpjD8U66Sy70IWlgBhzvU9/cGDjSMJ63keX4zwCnQeA0t5rGOtIwHgvwCoATrQhOC97mK/M8pI6a/9bb10AEx/vaN68NxyhLNXVDVj6f2ffZdwD7PSDsAkIh3LNa7LchCgwMlKaO4NgF3J1ofnUOx9vvK7nEB6aBX1nfXDWTNheOgDgxt7oFv70NJ4fjA+ug+c+9Ow1kwfGO+uadwzGrAek7tLI5zTNuwAjgcjRDpncBVvE7vl2ve0XAiVfmyS3Hu+szueQHooFfSd9cF5OWshwXbUT8aKwEkIkbcHAIkfaOieE4uIBQo0wM4NPc6gHgVgGXli3L4fhAOmj+M+9OA7+CvrlOJi0Ex2UbkLxbNwZk8gYAYvMYQvUA4iNA6IXDe3I43l33yCU/ZA3cYd+8DSYtAkfm+zdfTPu6kCQlvIkSMrQkUhMQnlFCBhCH3a6AapXMRF8D3B8B7/8MtrDOLceH3Gfz3347GrjDvnkrTJoLx3mEJnDRraB5zFfdkutmsWfdgAbAaW71MLIcCY6lcB1Hl+D4/j28H36AF6wGnq/neDs9JZfy4DRwV33ztph0JRyvagRB8fXsxyETktcBVdYN0AGRxjmKPTDXh69Vg6mD7v9McEyuBp7D8cF12vwH344G7qJv3iaTrgvHeRbnTEBex3qctSTSz4C0F2WrB9H0QXKrCY60+MT5U7jjrRJyON5OT8mlPDgN3EXfvAKOK2fS0nC8wmJMPxyzAbkkrNI3oHsC0dkHL3QhijQInFaboEHgHXh9B+7THTjnyOH44Hpq/oNvXQN30TdnwXFdTFoajrQtyyJ34U1GHHJZ1zp9A344Bf96D2LsVlNbCI5FwPsJcJ8ih+Mi9ycvk2vgphq4i76ZYTmuhUmZld7AfA10vjY4AvxrXMJR6IN1fPh7FbgG4NL86txyvOljn1+fa2C+BqbguOa+edtMWhiOiaz0fK1dlphyrZeNOyZvAC1Z9p+iG9AEOCVkKtE4R1p4QgacHI7L3J68bK6B62vgtvtmGo7rZtLCcJzlTr+NXOxX4XqLwedVYkgPWY/0SQ/zWca1nnUDtjrgVh1iHWDDPphWhkdwHLbgPtmGnVuO13/g8ytzDSyqgdvumzMsxyl+rZJJs+F4uRRRUk8TZakRBMX0hyCZBGR0fsKCvA4c37+HSFskvG1C2pHAlRoEuQ8BZcDtw5fLcCljrQD2//cBXrw96zKyFn0o8nK5BnINADEcb6Vv3gGTZsJxXtAzC4yJBybtTt8cjoBIWyS8AyQAnJYv0wGhDOAC8GWEcGwfwzk+CGbIBHtX53DMu3GugfVoYAzHW+ibd8Gka8FxXsZ6hvW4EjhuHUE8egpeA7jVhyiWwYQBmFaCpwKuSXAEHFp84s85HNfTI/Jacw3E7uAvc6uJBe8Bcd19cx4c18GkpeGYthrfvQPDS9D/rrIWJ+FIyl1wvCMp5e1bCF+/grAFiEeI4AiI0gACaN4gudUe3JEL12vAJjg+j+ZX55Zj3pdzDaxHA7fZN6+C47qYNBeOMzJCE9dkwTFlPU5nrZeBI23LihlwTKzKQ241zZDxkMNxPV0hrzXXwKQGAjjeUt9MwvG2mLQUHKcIPWNAeGxBrguO/9yC9OU2RDUc6yjoAzAaBF4rwUnC8ewdvD/9Cd5339EWM/kn10CugVVrIA3HdfbNLDiuk0lz4Zj05VMNmXntO4Qu9trgCEhfAqLbBzcZhFIpnCFj9OAKFTjNEzhf78M5AzzagfA7lsNx1Z0ir++6GqAYXbDT8B19Vit/Co5r7Jspt3rMnnUyaRpw0ynzazUkjtnSf2eNd1w0FjjrBnzVBXeq4SBwfRiuysNKcATAaQKOeAj3YxfeyQu437Grl1K7o6f0VyD2Ljvpr+DnX6sJWXAJEhPRJ6nXRY4nGkLYnAg3peX9uuRfp29+jWsYLnfEpCk4zhloGZR/B7CXVz9cwdvx7Vvg1Sv4K4cjwJ1ohkwMR+7DFR04qMM+Wx0c0/q57bf+LcnPQTnncV5o7u5c3gbwS5T67pdv3814eafLza14wQIrlv8dtf/3EJ7vQjioQPyhAOlrDq5WIFrDcJV+Mlwo5KV34FLf1K4Bx7ti0pVwnLHaRVx+fN376Ha/SGSrM1xr0tUYLtexHK1j8IsCpIMGRIJjcAOKwGAIiD240OA0P8E5/jPcXjSc5+2HX2R+t+DDExeLy6evy6pnXrnNkO/frcu35D26leJJy+8XgdMwo34w/cJMl8uCYPo3ULnLZ3B+vWHfm19uTfKTcNR0cPEr8BoH9wXwYMWsYhjy4n24YhnO+Skctw9HewZ3mZBXOt6YWkd2bUxaCI7xlJydCISx1RiDcXxD3wMvXsBfBxzx4YN48Py5KLQhFRoQ+wNIYgnsojUSXL/gsy5cT4Yz0mAfH8LtHYdjHd/+wzXgmH5o/xw9tN8u6KLPg+WyHfu25T/0JNZ3fmD1THyS95T+nvd93vXLPgPz5KXP34L870jm7yE0dIi1J+BlD1J5ByIkcLEIZupg5W24YzgCjgs4NFnjpnC8DSbNc6uD87MakrAYg9vwProZCQsyfqMl32zXthzxAeLB82CvasnrgfuV0HK0dQiSD0+nMY4WnFMdTrcNh+D47gO8d+S2zJrnuOzD+dDK04vgQUHyFysxabnR/Y5fSvT3VS9GKpc8n/4ePztXHY/LpOuZdXzWy/sO5L96DlbvQHgsQ/z6f4NYrkAqSxBNGZJjQKhvwa8WwtWyxHC1rDQciQdzQ1WzkjG3waSF4JiIlEy40y9SNykJSLIe6fMy2Bxw/LmEIx1aYKxjHPSlFXlog60AjgD3I7ea4KjrI1qPxzV12J/7cBwP9hiOf56v/BtzrxlZlju3IGtWY9cp/95DMoJiEoQ3fiAeRgWvXgH1ryE87kP8+t9DLCuQuA4ucHCCo8DAdupDh3tFF2XYPzThlnaCuGNkOVJ/mR/vzshUz3SnV8mka8GRrMZ0I+LHgQBJ1mMMx2b0ZqDFKJJrPAaCbwDHIsBNQDg9h+iN4MOBa0qwfzgN3lT2+Rnc//z/wHv//R0B6771j5e/vOTukyVJU9/+AQKuerHQueQLL/09vsfzyl11XVzHrBfrvHrvWP7Lb8F2nkMgo+XZDsTHT8FtB1JFArdFCNCAkge3rMKZCUdiw4IMSHSnNBSD7+tg0sJwpJkwL6NgY7IhHxL5t+eAv244DjsdmfE6LwngFoPQDSxH0Iasrm7APhnCaZ3DaX2C+98suO9ProBjTPBY83Ewddnj8fVZ12WBclk58+qfdz7djuvIp078lryB+W/8X+X7IQlFut9pHUTuzszjyeckeV26nkXrXbRcWpHz5C1a76LlMuS/+Abs678HOziA+KwK0R/0lcpWWazK4I4QZqsbNTjlYrBdsk27g5aQsBxvCMd1MykTjqlMNUsO34nhmARjoL8PgP4cfjJz/TZhOUY6Dlzr61iO2gm4qkJiHGM4NjsQux0wSYTjMVh/NeCe/QVO8xjuhx7cP3/KLce1QKoDb6MgSUmWd2GHxTdgeJx4Lj4lssRJT4PKXfV91ni2JDSTcrKOU3s2VD7Bcfd/gvC3/wFC5QLSzhYkpQC+W4U4siCS5ViX4RRUOIUSrJvC8baZNBeOiRHoU/HGWXB8/vzSeqT7ngXH0Kueb30kY44awFVAqkQxx95oJI4uCmJbB3wHrjaA9b0IJ4bjf/0rvMPPiU5QXxKUndR+Ofn108Fzgsc7GrEx/16uBdLzKo2hSKC66hMHzCks9OIywTiv+pWd30D5FFojOH7xFcT9HfCdKqSGAu65kFxBFzRoqFRgM3fg7iol6y81ODexHGM43haTloZjptUYPSVJ1zppKSayUktlrGfB8QDgn4dDyWZFYXQB8dQA8xy4yhDW90M4Z204zc9w/+X/hzsBx5U9yXlFUxr4lmKSvyJIhsNxhAmr7Ka3jV6WC7wgv+2A/XmBcks351cmn37nzrcQvnkBoa5C2qlD+lIDH3i65IlMqCiqX3kEm3lwdx0EcBwewXn6FE4wlGdJtzoLjuti0o3h+Dxxhz/McK3jMY83heO3gPgDwPdpsdt+X2qZolTaLrBPn8B7JpgtwcFPsE/7cEYm7H/5DPe//b/wjk5nWIulJS3IQWR1ZF33baSEP2c87vH18en7LJ+g8H/DWSTQvjQcFrnglS+iDgEEErovM+7Jt98Cf866V4vIWLTMPZdPP4/g+B++hig+B/+6DKnQH0kjMKnU0BhUYKcK2y/A2QWsn1pwKwPY35/DDab2rgmOq2LSJBwTcxivorQWhQzjRhwegj17Bj+AIwCyHmMYrhKO708hPd8DHw0gjwRwienC588a73XBbAGORDegCXfwGfa/nsD9/s9wAzg+ixp2mHqq4+PzHvas61Z1/D7K/wIeHv9iSd5WhpugCNA/PHsENstjyDqOR2DYil6YSWhmHU/fLyqXCN88FPn0O3e+gvC/HkCUd8C/rkIqApKuQipqYI5psEfbqiVvwR7DcRv294B78svkmYXgeIdMyoTjjLGN4xR6HGuUD8HG4KGHEiEg01nraBmzqUHhi8Yc37yD+LsDiK0y+CQcIZydGlLLVJllw3FbQ7tTKNqDc9j/2oL74b/CO+7MsBLLqWP9yDJMH487warOx/U9JPkEjW9/yVauC5IJKAaQiz+HiTfXs/AtSP+fPpx+v80ql3zGkbyAKkzGtB+YfFJrAEcFov8bSP/+MbgkQHZlcEWAoMBA/UvVkjXYhW7XblerTgXXh+NtM+nacCSr8TC9nuMhYD2DPyvumFjCbOmY4xtA/B0gigDfQmQ5lsAlQDg7gtQywYYOXGEE63QIp9+E/X0T7vdNeJ+68DELkPOstfz8ajUw/CW7vUpIEhQH4ASuAHrJ1tLLLPkCSn9f7S97sPKf9sG2/ncIf1sE/+I3EB8XQzgaCiRFhKACqG7B4grshgOrXcVa4bhqJk3Acd5I9GTgM201xs9bbD1SAjk5lTCG48RA8AWz1e/ChW3HcDwfQDEE8FIB7OcfIZ/3wFwaBO7Bavdh3zoch5HFUlwylrmqTrpJ8glan+HgLa1RfI3PS58/+zuIh7E1P6OKpwCOljieLpp1fVzuuufnXXfT+uddv2r5T58C3xQh7uxD3N0Gf7wPLphQPAWc3GrRBNt+rJtVRbOVIiza32lZy/EumbQ0HLUPYOQ3yzNWAY9cksC1XgccB01IX+9AJDiyIOYI4eMZpM99U3AdxfVcmJ9HcPrnsP/ShvvXj3ADy/H4Gp2QLjmIrpt3fVwuLWbedfOadZ/lP4K3FCS/8/nTI/BZ0MtSI3XeoxkXpCFB5ejjdMFmhmEiAQf1q89PQfaeyyd9PH8Mofob8N0G+OMSuCpAlhVwuQABCrC9DVP14FSKMNcFx3Ux6Uo4vn0LRvMnow/tMsbSDZmV67AQutbJDPUqLEeCI+1ZbdUgM4Ru9V9/gjzohW616sL813O4xggWwfHwX+Cd9hLW3LKWXWyRxRrIr5+7SMAEIBbRH4U8hrAzLck/+BIeQxwvApG8B3WwZMgkgFeiAfRuGcNuGMzkwDEViOoIyscXxPUmy8V1BRVFX3L542cgDccdEZK6A1mRweVohsyTum5KimZ/UYT5z224TxqwlknIpC3H22TS8nAEWOzbHx+BxW9dekEfRLNh1gZHQNq5uISjr0P8uQmJ4Nj14LEWrKMBnG4T9k8jOEc/wZ2A4zxLbUXnH0f1fFpRfctWs5HyLXh4GiRunF+m4TP8ARxF8ORvTzLqKp08HoJ9SsSZAyjGF0zR87KmiXIzBOTyE3oEQHr+5n+BUKNZMU/Bt82RVNgtyMUSxEs4wpQasOs9WD84cNYCxzUx6Wo4Aiyx2ldoOQIsjjfyIzBELknglqTg+D5a3zFpQS4bc/zuO1/4/WsIFHMcRHDsSVAEAVwGhKMW5KEFNhzCddqwf3Zhd49COP7QhtccwMdp6knXlowN6lFMMeO6uTCKr4+bkcvPtkAJakShIRjpNfMFk7DgAhgmLbrIYo3vC6l9fD6qN74VV73AcvlX65/0/tVvIe58A3G3RnCEVNiFLEvglJAht/o3+zAkDbbyc9/+/KRsy8ewOwdwFh3KM2U53iKTrgfHKN7IU3FHiu8cPIVPlmNqnvV4GM+N4Qjw3vASjictyN0BhM7QdO2RZ/880OxuC/ZPJ3B+MuDOhGPUM/b2wj9OU/DMOh53qHnnF7X0cvmz9Y/o5TEBtyuUmobYXgVslseQBbssObn8S6XPeomQnp8WIW7vQSTLcb8ELktQlEroVisAvtyDIdZhKf2+/bm8RjiugUkz4ZgeAJ5Y/YLRGEdKxiRd6uRzG1iP0ZCeRFJmNhzpwjkZ6+98X/g9bcEaW44ER0BxdF2SoAln55DPP0PsMzj+ENbPHuxuJ8hYOx//Dd6/DuDvpDpWs5CyHEeRZZg+Hl23E52fum7O+Yi98OL6o/K5/Kv1T3qbgFtkeQfHE1b3FAQzyiE+vjdZb3B92qsAQC+tXH7iHs3QK7047McQvm5A2N6CuFsH36lAKhQhizAlWSM4KviiAgNVWFUX1ucybBmwaZOtF4DLFpghE1uOd8GkheD4x/fvhRd4EUzIj+GYthpj/iRd61lwjMotvDJPEo4nrZb8jSTxE84VUSgGCZlPJ6bStRWhb8OxL2D/PITdbcPun8I5voB3qMMHudY01SmGUwqWWcfTxkp+faiR5jr1V4Afv1TSVn0ArQTMYst7kXLp65JMDKB7zXpjVUzVn6rvvsknnXm/BftShbi9DbFRGEpf7wmclZislFUuOhBlAF/9DXSosKqA9RmXcPzh7VvvH1698uYZR1lwvA0mLQZHQKh/AKO5lLJ8yPDsGUXKg2tPjsP/7h+EAEq61mk4xrsRxjHIRZYtm4Qj5G8k8BMOhdZzlDQI/3YMpXlmcdP2HX2oWJ0B7OYQVgDHH+AdDuFDDdu2bbQmfm9L3Z6IfS0Lv7i8b4Q6aEVysjzAXP5i+if9CZEVn4RYbMEHgE5Y+XQ8/T3r+qnr4puVqi+XH/aZq/S/U0rAcQfSFxIk+Qmkgo/AcqTrn+zCKMgjS3ALlu50bNTrFlmOP7yF9w+vcH043gKTroRjPF3nj9QQRHBM+PYBGBNj/PbJTD4CnCjuOAXHX9YBoBXBrwPHoyNwrwTpm+0w5lgogo8MiH/9BKUzgmgO4ehDWM1zOM1BCMdPF/B+8OGhNRtX21kUm3M8XV1WPRlix7Xn8mcrmiVeMkkrlV5G6e/pGrLOz7uO6vGNFmOpF2Yu/1LDSf3T334J7GAf4lYDYmMb0hccUqUBqVwCdxyIrgD21WOMCjIswYWlO7BRx43geJtMuhkc0wPBj0MLklxrSsqsHI5PIX0TxRy5DslhEP5yArU/hGA6cPQRrGYbzmeKObbgnPTgHZ3Da2TATsjIGnvp7HJ0fVb5KfhG1MuqJ25OLj971ECrdflq2cY2YmAmYbVtgCWt9e0SWPpepM+zKMQSwDBRPl0ul3+1/gmOrgjhy68hjOFYCmOOBVo5K7Icx3AswNI7CTgC3j/Q/lJzcg5pt3ouHFfIpGvBkVzq2Gr8AsDHBHzIelwnHJ/0IA3JrWbgjgbhL3+FeqFDNG04ug6r2YHz+ecwIXNmwb0Kjtc0HPPL1qwBemkk2IixhU1/JM3x9PeoXV4RrE3hlOiznSh31eVBueiTy7/URZb+vS/AnqiXluNBlJApKpB8GsoD4OlTY1StqqYAWDpgA5HluGI4roNJN4LjF6lpcwRJgiPFHXUH/u4zeMFmW++Aly/hpxefWCbmeARwD5DqP0P265Alpksu04Tjz1A7XYgDG443gnUyhD0BRx1+vZPhvimTlotvdsImKfWJWKRvRrs6pMovyoj4+nR5lstP6TnUv1irBztWJi3vdsLKT4cjqFwSho3i9KrfSSs9WW/6eFa5XH7iZRO/hLQQjrW9YBVwvq9CLj+CpDJLpmHgEoC/+Q2GkGGVXFiDEqzOCewX+8F+Miu1HGM4rpJJmXB8/vYtexXNHUzHHIOGAIysxvSHrEaaLUMu9W8+wNd1+P0X8GnZsuuszBMnZKbhCMllEI4+Qut2IVK2OoDjAHavA/uUYo8tuD/58LLgmAm3enQmA6qLQvHa5R64/PRL49p6zC9cqwZqBbBiDQLBsb4VxhwLW5CLMiTXs0RJlvHbPQylMswYjtoJ7P1rwvG2mZQNx8RI9KvgeHoCRubiXjQ7JoYjTSWkuOOfPwAdHf4fXsC7KRz77bZ8oDek0HKEZDBD/PlUUNst8D6THTaCeTGCffoJdossyD68n07h11KPyLTFNmlpZJ3P6rTzLMu05ZjLT1vsCf1fAGwPPqPtdqNPUn9J3dHxq76nyeAXwCbqLQRzs4PPRD3pcpHnMFXugcv3RAhPvoTQqEGslnT5oKxJZDkGcHQhCsxi3+zKA2kXZmkASyrBMm4Cx1tm0iUcUyvuPp/RkNLhIdM4Z0+fPgVZjnIExvghJECSa20C/hiOAD1//h9wfTjuv38vyi9eiFIbcqEByRxBKTJwMIj/dooAjheO5bq6b+mWYn46g9M6hX06gHdswK8ZS04XXOv7Nq98ngbGACMLOmm9p7/HFc0rl3Vd1vWL1rtouXsqn142j3YhfnkAsSRA3n0CrkhQKiVwQQxXZf/mCwx8WbcKrmuVSyWT9pTfD7dpne9W3zGTZsKRXqTxDl/v3r1j5Zcv2Q8AK0Vzq5VjMPLtT9OZoRPA2oefTMrQqvNpOL55A7x+HQJr3mrg5Fbvv4cov8AEHGUBEg0C//4YWr8HbuhwL0amNTIU86wL+6wD5+yk7/18UfaqGb1xWQtxyhJJWBRpq4K++2Y30u/sFuTyZ1uQpJdZVvq1LMgEXAPLMRHnTVueSUs1lz9tUKT172tgj2SI1R3wJw1Iu4/BuQ+1Ei56K3gM7Lc7GJTLMJkLq1zCteF4F0y6Eo4778C+//49e/GHF5iAYxRvnIIjpaKwABx/AcfryA2/LhwrArnVpviXj4rW60HUXbgjHdaoC7M7hNM5RpwFAAAgAElEQVQ6hvNjG+7PPrxqd56tsuLzMQtvW278MzZcfh5zXPHzuKbqKiqYqkKsP4H4qAT5i8fgkKBsF8FdEaJr2+ybr6R+WV4dHG+TSVfDEWDfA+wPUViGtkU4DsIzky61dApm74VvGnKtKe4YD+dJWo5xCGmZxScmLEdArvYhD8qQKwbBEeKPH6G1zmzJkn2na8jWsAez2YN9egynNQy2SfAqC1qOs2Jck5f2ovhUZaF1DbOy1HGd82KY081+APLphVIFWCIUkmXhzbPkp2KEKthEvanv4/ufLpeKLWaxZtb9nrBU75l8XwXb24b4RRViaQfyngyZ1yHXmCVBkQWaPnjwBINiSTcVTTPLuLnluHOLTFoajnGmOl4JnMBIRCQfmwAZxB2PAZOG8jyFtxI4AuLw+JjvHhxIBMc2h7Ktgfe7Jv/4iWlnA5mbDI5uwOq3YA16sGm848cLuIPuL/sp55+N0kAAlFlWN1nEi1jj6XLLXBdrKpc//cyk9Ehw3N2BuK+NePVJQXpcgsQaULYkcM+zRYp7PdnyBtUtxVA0rA2O62LSjeA4BmOkRptc5SjuSEmZXawSjuC7BxjDscIgmcwUPx4r2lnTlh1fsjumZQ+bntns+nZrqNntC7h9Ez5Cg2vqw+SrEzW+1Y/0Uw4txozyvhWNg5xzPt2AXP5s/S/rVvtmjzEjYc1HYYVlY4rXfYM8VPkBHBsQ99hIerxX4I9KkKwYjiJEwQH78kv0qyUYvje0NLto8hqlJcKEzCvAuzKslkjIxDHHWZZjEo6rZNLN4JhKyKThqB/CHzyDHydkru1WA2L9GLxT7MiP63VJ16HAMmRPVYWjv6Lw+QKSI8G2+rA7fZjdj3A6w6H9sVN0hzRFKf6kIRn721nHr3vdsnJy+RNcmvfSuC7E8utWq4GyCkZTB8sqePWxIe03VEmVLKXAmARFEkQGdvAl+ltF6L4HS7Nh9k3Yz/dgrQ2OK2TS0nBsHkOIM9XSrIZESRmyHGkg+ACrhCPkujSQLVFUZKZJHg0C/xmFZhMy7Vt9YcAamTCbZ7DPW7BbI3ij/gy3Om3hRZbf+NHJOj91fNKyxLx6YwHzyj1k+TJ8emf1Zwy/IkueyeXL8Y8W2DIgpc6crDf9Pb49Wcdz+ZP6LwkQth9BKDfA92qQdsqmzIpMKUsy90SINEOG4FguwpA8mFoRZv8UtnoOG8/hrspyXBeTpuD45s0b9vr1a9BQnqQJe3gI4ZiDKU8vkzEEx3YzdCkbO+F2BBR3pIz1yuEI8E6H4AjZEqHIgVsN8acjFFpdWzZHcCxBMkd9mGc/w+mMYB934Q5N+MzKxzmu1mZYc20xGImSvctwBrlxM0MkUblxq2Z8Tydipn5Br584FIZRkMu/Uv/0EmmQ5XgAXpUh7VYgF2qQC3Iwtzpwq7/6Ct0AjhpMDdeD410xaQYcwV6/xjQcAWGcqQbY+SnYoz1gAo60OnA0M+Y24EiDwP/yCYWzE1uxLcnWRVijAczmJ8PpnKv2z92hO/KLHgaLxRx9axDOrZZLi2Wjo/JAKRKQIWh8frIdaasnlz9gpPuKDD8jTBwosGyB9a+IF2edn3ddfHfSbE0/PfPqeSjyywoYzY4p18H3KmQ5QiaHmkApihBt2PjiK6n3uAjd0WDuA+ZHwFY/LGc5vnlzN0yahiPAXmM+HGOXuh271s3QepwHx7dv3+LDq1f+UuMcKeZIliMg1weR5ahBggnxhx9RPOlC9nQ4AwZz0IF1PoB9/lc4JwzOaJBnq9ds5628+glLP4agBUb2XGDf0bEgWRZZeMkWJKAZQGp8rg9ELvnk8clakvZjcGkuPzQUZui/KJfZVh1iqQ6+uwdppwSZq6HlqIoQPSfYnbS7HcGx0oXVrsJaGo53xKRMOJIB9S4xpugwZTmOXerEBi0NwP98Clge/C0X/s4BvMS6jkFihFYD//AK14cjIA90qIoACmmIHz+h0GxBthw4PcOyBm3Z6piwzmmx2x5c/Uo4RpaelLIU7elVXcI+llE+jQc7tEAvLcosfuTyA82k9E92+PAaoZByGegn6DaGaaT+9PmiDDZLTtbxeW+Bhyaf9DQBxwZkhUMpSJBEDyL10C92rV6jLutMhTGGY7h02cIxx3j/mNtm0hiOsxaVjOH4f3wAOytAoG1YgwHgAAvgCLDd6Ik5o7gjwRHAVuRa7wDes2jl7z/+8T2++abvN1++9D9gxXDsQjYMuAM3shxbsNt9OL02HB3whlne7rynPXW+mFF+OKdc+vySYsfFH4x8Kdj3J/pc3rxSqYRB8l4SRZMHSmF4Iw1X6sQT18VV03zYCMIU0gjqnxKbyx+rK6X/4hZYQxqJpRrju48EaaehhHCUIUlKuJ7jbw/QKxVxLTjeNZMWgyPAzhD+2MEJBFmI4o0JONK5s7RrfQT/5dPArfX/+B74pg+/+RI3gqM2gOKIUATLlJmgiD+eonjehWzpcEY2jN4F7A6Z7304J204Iwt+GirDiFaMOmHi46csxmLqQqprFtgKcmhpzjsfX5vLDzUxS//Bsei+BOxb4E2SVa5ogwaVBPcsWU/W8bSoXP7V+i9SzLEKkdZyLO9CaihQCipkVbBlSZEEgYH9Zh/dWh2j61iOV8LxFpi0FBybx2CaCJaEo9QKwVDfhj8Fx18Wun0ZjjNcPRwFyAzB9MFi89xWLEdyBt2haTncOu0qVrsJ57MR7CvjxYzLsvAWPR53nlXVt2w9D0V+bM0l303Je0THp74nXnTUaWMaDumPyG0nKM6y4q+SM36hJciZyw/1T0ZBvQpxuwZeewJeEyy1UJVlVbZlSSA4OuzRltfd2pVHcIfGTrFotgFLXdCtXgSO62TSXDj+6QOE38lg2jOwoCEHoVstN4OpQ7TiTlhHC7C34ZNrnUzKjOFIyxcBfhM3sxx3BlD6IlRfgERw/OsPKDU7UGic42gIo+/AuiDLsQmn24NrjKYTMvMsxtFE1wMKCLtPfN24g0WWZiHqOKOUJVqwh5F+J03QXP7VFjvpJ2mFj7VXApIhkmLqe/LlkYZn7G8nr6fOPUuOn3Gc/PVc/uVbolAHq3OIhSKkR0/AHylQJMVWlYrEKVtNJb/cQq++iyFcGDtFrASOt8Wk+XAEhN/FS5VF8cbz6L8Ub5wHx4PDQ//Zs2feHxNwnNiBcM4GO8HCE4lsdXk4VG2hqMQJmX/7iNLPTai2BZvcasOAfdqE1e7B6TXhGj48Zk92xlHKf4rhtoAHt5IiufxJNab1n3x5JOFFMLuE3jB6ZVFdxSlLMjlMiqZ3putJ38is87n8y76T1n9gOVYEcbui8fIOpEdlS1G4rBQ1hHDkwOPqJRyLLiyjAvPiEM6jZ3DmDQLPshz/dEtMuhKO0XxGYbyOYyoZE7jUiQ09gumDTaC8E2apg0VvD+E/e4YbwxEnJxL296XyEKotQBFsyFIFwvf/Zpc/tyXFtmEPejANHXZTh0mWY28w23KMO0Yamr40e460b43C8Y92YTJGGZUf15caexfPuc4iai4/ZUFG+hSSUz5nKM+3h4xJxYl7MdNSTLnfhUQMcpa7nA5bZN23XH6of7Kw6xWIDc2Qqo9VvqtaqqbJskbZatUJhvI8OuAXe7XQclwFHG+TSTPhGO/V8P79e+GHFy8uF7lNwzE1fbCOMO5IQ3noX2kfHq0I/gyrgCMk7OMSjgJoRSTxr8cofepAtW2b9o6xrKFvNUey2RnA6V/AmeVWr8T8yytZmwZiOFKCLBmqIEslOQaSIBU24jJskS4fm5QTx7OGahUvs9dUay7/av17GAm1akHcriCyHKFoGmRRhqyIjugxzp5+hU69gaE1gll3YF7XcrwLJmXAEYz21nr/HsIPLxIrgM+BYxx3JKuR/pWwWjiOtAt5T6opdhGKYIZwPDxC+VSHYjuwe2cER1hND2b7BC7B0SQrRJ/Xj5d0dPmc6YhO1jjJrHbk8pOaYYWCN51xCUskNVWYlRlJq/iKTA55CrH7PUqUm1lvdD6Xf6lgrQZW9cG39sDLZVN6VFYUbQuywiDHbvUXj3CxvYfBoDWy9uSCcX043j6TZsOR5lW/Ayu/BNMA9mMi5tg/DYfySCx0qXvtEASVRgiMOBmThKP14YP/T8+f+3FC5joxR5xAGmmQ9yQoIxGqyGjDR4hHn1A6uXBU2/ftXkeyHMDsnsO6GMA5O4dr6vBYGmbzYKlFD0C6XHw83QEXLRdfl8u/+m3F4c9aUILCFOlY4k3KpRuRDIPcpN5F27nx8n0I1QrErR3wcgkSJWSUKhSVFr0VIPjMYU92vYutbW9gDFRzbxuGAZgXgPMIy8UcaU+r22ZSNhwRTNeahiNAK/yyON4YwLEBoB0CMglH/Rj+jnPk745G3o3hCEijC8h7NSgjI4SjY1v8px9ZqTWUVFN3nK7NDceGeXYOi9zqXgTHzJhfCpr+HItvCrJRxfF1886n25Eun8uPYr5+PuVznq/zqzgvgREcG3VIJYJjA0owCLxAc6sd0XPBvviSdyqqOXRtxbgxHG+ZSUvBMRgAvn85Q4bA2CAwhmykRUxmwBH+7gjePz3HdSxH9uof/1H4+1evaAC6JF9AVmpQuheGJopMZkwRf/qEUusCqqkHS5aZdmQ5ds5M93yo2GQ5/ioepLwRC2uAxXBMJrxSIw4mKqNyyfPp73Hhq47H1nzyhZnLv5xenNa/M2KqVGDyTmg5bkmQ6gRHLbQcRR8i58BvHqNTUzEcSjD2Cje0HGfAcZ1MWg6OkdUYTx+k1aQiNo7heN4Cnm7DIwvyB8DfiVYE/ydcB44+e/WPEP7+VTA75xKOBjTRhswYudV2uX3ONMPmdteBYXYtq9n3rYs2nL6pOLPgyJxUlpQ2eU18ss5PHY8D+5G7Pa/eWMS8crl83We2dpmNzgpnkEKTIYpkuQWO+5LOGE/IGXsCOsvlz9e/Bwi1OoS6BmlrC9JuyVaEiqSogiPT3GrOOb7cR2erjMGwCqPS75sDwzDdnR37Wm71LDiukUkrgWO/02Hlet1vk2vtwbd9+DScZ5Vw7J2eytt7e5ICKF2CI4Ps2Rb/+Ekutc+hGTbsnmlbhiUZF6em3TMVu9UOY46Yl0BZ2KbJC65dAzogaKG1T2GGZOgh/T1uy7xy2dfp0fOvYVZIZF69D1k+6cbnYNUyxHrNlBoNJu1UZIkr0EoUc2RhzPFgn3d2S+hfyDC3HBifP7Us7d9tW+uG4yqYtDAcB8fHgnZwEM6OiRaeoL0b+p3Q6irXEcKR4o7NcChPdw/eqizH3ink7T2k4Aj+4wnKnXNotu3YFwY39RHMzqll903ZPu9hpuV42cGzMikZx9OQnYpR3jQzMycT9BDkUzKGZhpdlbQiNV3n/Lzr4gdjXrnrnp933QbJ93tgagVMqUGoq5AatG91CYpYBk3QoISMyGkl8H10drfRv/BiOMLS/h1WAsd1M2kJOEKIpw4aLQiS0GaNRgMTcEzFHcuAF2+0dS232vfZK0D4e0AgOBbVrqxxrgwcUSsIquwyi//4kZWbbaY5Puyuzo0Ajh3YfQv2eR+OaSwylGfF9lAW41YsJrO6DZfPokHgZJkkQwwqBzOSIZHod/q2zpgUuYEJaAbXx1M6U8dn+eNUXbL+XH62/kk3BMeKAFGtmdJemcn1ApPFiqSUmCOLIhc95rAvdv32k32vr3uKUQgsx1XCcb1MWhyOgbcDpjchKDtgUpSM6ccDwTuAXQ/2/xgnZWI40kZb/8WC//vn8Ghu9cJDeabgCFm0R6pVKqgFBtklt7oll05PUXBs2BembRoDyaCpg/0+QsuR4LjiT3pudLr69Oo+KxY/tZrNfZJPMNR4sP9QxicrmDhfy2nDbfJ7XK+Gqw28XH6oaQ2KBqEiGqK2rfK9MuSaYitKQ1IU5shKMH2QY38P7Sfb5iUcTVja9oosxzUzaS4czw4PBTx7RmubhHAEBFrTkdZzlMilrl8+lJSEWT8coVolqLJtKYzJ4o+f7fJpWyo4OuyhC7PXhalb4WrgrY7hmibNrVYX2vZgfvdarIQaFTMWK77yUpsuP7YcpxRDYYwF4seqBGYks6uOzjAj8TJd/5xyufxL/UtgCgerFCFqDfC6ArmuQCntQil4jsJlLtgujXP024/rUn8kwVAcGLwMc4ibwfG2mDQFx+T+sDTO8ewQAp4F67oJximEL/ZCMFKmOr37YDmIoSeG85yEUwhpF8L/Avi/xw0sR0AudslyjOEIxWMW/+mzUG43eWA59hwYBMeuBasfwBEBHLPiU6saZ6hGsUcjo+NmjV/M5adGDUR6HM+tzso+p6imaoAxw6Cjl8T4BZU4H5SP65gXu1yg3IOUrwWxD2GvCqG6A6kGyNWSrYgNppQYlxUlXJVnbw/txyXcCI53xaT5cIwXuQWEajwAPAOOtEQPZaptD766Dc+6Ao5v3rzB69ev/Xmbeo9jjgk4jiRTKwiK7DHwnz6jfNpyiq7Frb5lW+RWN7uWPTDkYMHbAI4Zn3kTYcb9JtWBtOjCzH61YF4mlx/emLS6knOrKYQxAbkZ91KxwczEcnHp7/ElWccpDDJLTtbxdBMeonzSjVoGK4sQK9uQGkVIBRlKseKoRYHLIsFRBPYadvugLvVuYjlOwfGWmHQtOOrttjBgjNXrCZ+anpgEHE2/6Ws7Ox7Nr44tx/337/36ixcexRzfvAFev8ZycARkcQR1ZEMraJA9C/zo2Km0Bzxwqy+GjmUMfaNl+Va/7dujvuJYM+CYtvBiyy9+6I1LuyI4pCJ0VMfHeeSmR5bOpRs76UjH16U7Uy5/0mJM65+p8CYswYyXWwjNaZPx6uOXlU1ZfNGprOPpZjxo+Rqg+BAqVQhq2ZR2FSZXi0xRy5JSpEHgMkTPddj+E35+0ECvO9TNfUnT9XKwC6E1WGL64CJwXAeTFoLj6RHYthLOjgkz1dHc6oiN/OKCObXaeG41xR7NJnxtByk4wq+/wI3g6I5GmiMWgpgjWY7Hn+XyeccpOgbsrslNdwij1bXsoSFbJxehW83csDNmxeLmHZ+CW9qty+i86ZjjPDlZ5R+a/HiGTBpSmTCTDGYk4srpmONUDHKeW54ByVz+ZfiCFu1QRbBSEWJ125LqBVkqFKAUJagFxVG4xINxjnuP/fMnRa83dBRjX8LK4HgbTLoSjs0PEErPweKG6LwpKGyHSdthvHFwccFqwYNUg1O7XHgigCPgU1hiwnIE/DoiOP4yyJe2Z13GrRZ7PUXiFdURKSFDMcfAra6ct1D0fFidESy9Z5ttUzL7bdijAWZajvMtxMsSSaia7mRiRxEnZ9YsCrdcfqiBLAtdYIG3EX0utaqNX2/TA3F0PVFOUy/tyYRhSeEQfewVqJNZ6fH1KsJyufz4LsWaSOtfUSCUFQjVbUg12QosR1liarHAA8uRFrvd28X5kwZ6Qw9G3R0Yfqlk3MRyvE0mLQZHgG0DwngYT5SMGVwghGMNoEQM/UlgTMJRPz72SwcHHiVk9q8Jx28/fBCLz59LMRx129RUkQVw/PizUGlfoOja3OqaMB2C41CyhiaszvnVcMww+PLDd6wBk4Vx4vSQGnK/kyGJefka1TEYi0IgiwzAocRZuv7kdbn8hH4cMKUIViqYYq2u8IpqK/WKJMvcUZUCl2XR4bTwxMEjv7W/K3VXDsdbYNLVcASCVcBPsxqCCI40QwbwOxR27ABKPRz8bZye+qq955UOMIbjyTv4z5vw472rF7Ecv/0AsfgcktiDInGoughNDSxHK4IjLzqGY/ccbjg9mO0hrMEQdmcIx6aYo7nq3p6qUFQmhwq5y67nuGz77rF8ET5l8Y3ET4zDEYG1mRgRkIYVuXnpez0u7xhMVVQY5qWFSd/j8tPlLu9JLv9SF2M9iWAK8aECQStb0k5JlqtVKDKHWipAZr7DAY7HW/b53o7XNbmi110Yfgk3sxxvkUnLwTE5xpHcarIgu10GVFH04V+Q5ejDt3z4cgOecQpftTEJR8B//vb6cISta05JU0M4kuWIyvk5Srbj2F3TNr2RZnRMmP2m5VwM5cCtzlpKbC6S0lBVMq6Iy2WdnytoTr3x6Qcif2KcY+Ie+OKlJTjWWPIeRfohC9CM4sxBWCSht2ToI0ioJCE8S7+5/LGqk/oPhqeVwIoCxGrZkqolFsBRKUlKQYQiCuFQnsdbON/bQXfAdWPX1XSCo3B0ZBefPrUX3UMmmZBppuG4RiZdC45mpyNIjDHUapC6kZXU7cKuVH27Bt9qJ+C4F8YdY7f6hOCY2IGQqqE1BmbiIZohk7QcIemaI2gqH1qqoMjijz871W6blUxftLpDmN4IERzhXAznudWL0i9s3fz1GsP6GJ+0JLPXaczlT973kE6Zg8AThdMLUpgJi1KZuS5njMWkHXjdt9bksxDA+IHJDzQXw3ELUrWIyHJ01BCOLIg5PtkTW3s1giOMXRcRHGEXn2KlcFwHk5aGo9VuCzJrBCuBS6zLUK2GT1gXsKthvLEE+Cetli9tb3tqlJSJ4ZjenjVkI1sCjtBgmxoEpviM8c8/S5XztlsyHN/uGaFbTZbjoAena8IOhvKs3K2+fqfKr5yvgTEc5w1wjKviJoOTeCHREnSpZemCouly85qSy0+Mlk8pi4PJIphUgFhuWFJVJstRUoqqo0oyFEngggCX7Ve9870vpc7AWx8c18WkTDh23r8X6tHmWv/9+Fj4m4ODYOqg1YYgB2CMhvNEbCTVxWAMkjIt+N1tjOE4CGOS4wVvPwB+mK1eAo6AAp3gCA0CFJ+Bfz5DpXmGshnHHPt2AMfhhWQHlqM1Y99qMTUzY+EYYWQZRjFGf+q6xSxBlsuf3MUxpcdgEHgSbsn1NtPHFypnRs+5QpnDS9kT63im/POF6k1BOLOd91A+B/MoWy1DoC0SqiXIlRrUAiVkNC6LgityiNjfts+3trwLgyv6TS3H22bSFXCEUI821/rvxxD+5iCcVx3AsRHNrSaXOguOgN/FJRwPDwHlGbwpyzFg49WW4ytA/BGQ7H5fVXlZhQDNtS1VYLL46QzVVhNly4Y1HDqmodtmZ8jNYce3dYd2UoCXjD/NMxby83evgXlbs85roe+YLB3amHfNKs8/BPnBeo5FsIYKkeCoFe3AciyoUGXBUUSZBXB8vIXW1hYuDA696g4M27KMcq9h/Xj0zsGf/uR99913mTPY4n2r45hj5/3tMikbjoBQR7jz4AQcE1MIaazjqBfGHAsV+N0uUPDhK7VwJfD1whEqWY4nJ6ieN90yxRxHQ5jmCEa7a1sjU7IuenDJcowHgd+4A8xdT/HGEq6u4CHIp/UcybI2p+O349gtrXySSLhMLUobZK1nXC+Cpa+L09VJmPpZ18exzFx+8JzKHKxYhagUw5hjQ3ZUWUVgOQq+y2n+4ONdu7WzL3UGOowtDt22YJR7sH48goM/wfvuO7Y4HG+ZSQvBcXAMoSpBOBZbgrK9PV7sNglHoIeCXwlWAad/NJwnCUdS5i7g9QGfli0bu9VLWY5QRa5rzBY0RVAUM4ZjG2XHdOy+ww19APOiA3Now9YvEFiO1gIruawZa3n1S2iAxVM+KT+T8HYVBTHzwtrmZJcnzs/Iaqeb5LsmY8nYZS4/U/8+N5lSUFhBTcCx6KiKwhVNdhXanFVwwfbrTmtrz+sYkqxvOREcG7B+fHczON4GkxaDIy06cUpwhKBsg9kXcdyxx1CphM9YL7Qeg3hjJ4QjTSHsOPBkE97eU/irgSM0ZkNTVCimDf7pxKm1e7zkmLA7Bgx7ALPTgjXyYI3O4QZwTMX4luinGUUnY4uLZ6dvLjms4X7LVxmNk52kWTpOS1qgmG/y+HQMGEifT36XXbBYDkuMVU0ejymcy5+O08syhGIDQlmCVClCLhehBm61BlkQwH3PZY93/OZWg3cMCauF4y0waXE4AsJxC8L+Nph5AWEUJGQy4IhoOI8Lby1wFKApDMrIgXT6CdXzXmQ5Drmh92EOhzCHDuzuOVzHhWslXLAb4WneOMOocrJwJhC2qmz5A5HPohkyU/cqZcll3UtFNJnppgbm3+jGxzd26r00s9YHIV80mSwqrFCBWJYhaTXIFQ1KWXO0gsplHy4HudX7aG7toGN4a4Djmpm0NBzLIo1xrLMQjmC0H+uU5ZiG4z68vWgXwuu61R+akLdVKEMOjTtmgQlMMZnMCY6dC7dimKI9MJzAre72uUFwJMsxgGNmx1gsu3x5eVQ+NY5RjmJRVmztpM4jcz/sXP7krYnGOUpwg+NJvSVfcGl3V5wc9A0xzA4rUC7tz8T1NCd+bJkm71V6Mdtc/uWunGn9U0JGBKtXIJZUW65WJKkkO6qmuVqQrZbIrXbZ7o7fbGx5HZvLo1JvaAi8qJdX4VZHSyiSwbYuJk3A8c2bN+z169d48+6dsP/yJYsTMrTQLa3leAwI5Q4EqR5mq4NkTAXQ+32mlct+IZpXTa51PBC8A3gyVgfHC1svaJKmeY6lWgLjpy1WbXd42TZhDxyEMcduaDnqXTgOudUZlqMc9cw0PLOOxx153vlFjZRcfqiptP7TluM8gzF9Pqv8vHoyLdE5BuNDlS/JECjmWC5CqhRsWS0ytVLiqia4CiSIHgN7si2eNbbQsTlGpR4MYRd6GbB+DJZjgPcduzohc5dMSsER7PVrLA5H2jahD1aml3wZPsUdpUqYqV4HHEtqXzU41zSB4Bhmqz+foHp27lYtW7T6JgyDLEcTxlCHrffh2vZ0ttq0JrujIseYitzhVG9VUhQz4+4cXRd7u/PqjTvfvHLmA5dPcEy+0GhozDj2l0iu0SDkWeXoflhp652yq6ny9N2ckdXOqpds0eTMnIcsn6xGijkWimHMsVSylXKBqYUSjXXkMmQECZmdmtPc3uNtnUOvudCF4rJwvDsmZcARwv5LTFmOBiCYgHs6swcAACAASURBVBDsH0OWI82i6odDefq0ikqUqaa51VIttBhXaTmGcCxrkmMWfFcI4Hj6mVVbXV4xTdfuO77hGtzodm1zOILdsyTXMS5jjmOIpUyEVU+JHkMwQ86yzvSilmi6XJacX7t8K4o5BhZZOls9QxnzLLd0Peksd9b5XP4V+ndMJlO2WoFYKkIqVyBrBagVFYHl6Anggge2u+ufbdW8tlWQRzeD4+0z6VpwtLsQKN6osz4rl8luBPr9+XAcfIC/E+1AuOxQnmYTsq5CNTgiOCqqz2x+2pKqzXNUTcu1+6ZvuCNudEe2OdJh93qSM8tyvOxfWQ71bBxdf2ZLFt5y+ZOaCU10mj44a/hVHNsNXPGkBemAXfV9HA65Zrnk9fHfD16+ElriBMeaArlchayVoWiSo2kSVwQBos9ctr3tN3d2vPOR6+nbXB0ZVseQh0Ord3BgL+ZWx5bj1XBcB5Mm4fjLJOfXvzycbwBhH2DmIYT/6xlAK2EcN5uiJYqC3Giwy4aARWwMTEdyre1uuCrPLMtxdXBEwReiQeDHTq3V5lXLQeBWuzaMi7Zt6ZZk9QzMgeN1bbL8unVqgIZfUf2EyuTrQ1YAK2FJTgZDpuOXVD7OyKTrSY0UGv+cdP25/Ms7PaF/BZB8CLUyxGLkVmvlcIaMJkGhZScIjjtb4tnODs5HLvRtjpFhwZCHx4vD8Q6ZNAXH52/BPrwCm4YjREuEYAuXc6t1FsLR6PeZWi5P7DwoAZ7ZavnO9rYbJ2SuC8f/eHjI9VpNFpVtpe/ohQLXNMe1NXKrz85ZtXXOq6YLe2BAd4aO2e3y0HLU4Tg2PHgZq/5cu4dPWnxMlK+cK3xtMZkX3m/5wfTB5MD9RBZ5Al5pWIpW9DxfYtVyL+8NWTpIJufoeyRnot7E8eAW5PKn9BTEHDUwjVu8XmBSuSDJStHRyipTJe1yybKdPfGsXrfaliuPKtZQ93hRl4ewege0FMMCCRmA3RWT5sLx7/gRGyiKoPN9YQzHWhhz1Cn2GMUc1TJ8cq15GZ5FCZlOx+du3Wu7p9723p5LQ3lo8YmdaHvWZdzq/3gIrtdAO5opfQcFhVsFX2BBzPGM3Ooz1IKY48g3XJ3capg63QAXjjNcIRxnmSqBj7d6/M2s8YHIv+ncaoopmomslhLYoLf4eQjyFcDzIVQ18GIBUllzZLXA1VLJ1WQVsiiIwXqOW7VgnOO55WJU4dA9CzeG420x6Wo4AsLfHYENFAj6PgQLEILZMREcOcCMFBzjxW5FDx534bVdeNt7WAkcXWegmtWSpjiXbvXpZ6fWbLOa64hWZ2Cari4aPRoMTnC0ECRksrvFcjG/bAqm0tnepCUJIWtl8Fz+rJij4IX3zBctxhKWX9Z9zCpH1s04uzyxaO3kHOtl602Xf4jyTddikiQLVXKrCY4VR1Y1rpYkgqMoC4LLfQa2teWf7Wzz1sg19QZXRjeG4y0yaRqOAPuAyK2e0xCn3xeCDRIoJ9OP9o+JVgIP4FiHJ53Ca9nw/vYA3k0tR1cdqKZ4CUfXtaVmi1WbbV6jmGNvAJNijt0eTH0Eq5/HHG/RXFqdqMwZMtcWEb+EbtmCvIxkRn/dH/mk0YIAUVMIjrZUbjBZ1aCWFa5KkqsIQcwRbLvhn94YjnfEpMXg+BRCsFwZWY6A4PZ6wUrgEsosACN9IjjScJ6WD1+swuNYNRyhDh2jUBRVzVehujakZgvVsybqjuXa3aGoO4ZjkuU46tu26YbZajsdc0yNc0RqnOOUmzw2DDMsvazz6XrjzpLLTxmMk9AgOM5aScl3LZaM76bnVs9j59Rc7NQqPfH1gcU5Y+JALv9S/6YLJkkQqqXIcixDLsiOVixwhWKO4dxqsO1dnG7VrHPDlUcNjutZjrPgeAtMmg/HcK+YFBzDoTwUd5yAYznYjtVvdRNwBLzW8aosR4IjCmoUcwQkfnrq1JotVncc1x6asm4OYHT10HI0XTj2aAYc5/Wi/PydaoBREo0+UV4lHkIVLCU2K747ldZOp7lTS5zFi+smmTzxwopO5PKDSNIs/dNtIDhWNPBaAZJaRmg5FqGqKhSaW00vo+0d/7ReNc/tQnHYcDDyitDl4yUTMmk43hKTloZjr9sVZVYNVwKnmCMbMNpMQi2FK/IEcKRwESLLkeAIeH+LVbjVk3D0HEjNc1Y9O2UN1xetge4apu6HcNS5ZfbDbPWU5Xjdrp9e3WfhFcSvKzB13QORz2B5oLUL0h8nkY2eyGZbbKJ8eo50XE/W8VlycvlX6592nZAghG41pDJZjgq0QhGqpLqK4NMOMkCj4Z9tNbyWIfijmu2ObG7plVrN7AVRuAWz1XPguC4mzYTjDsC+p3GOFHNMUbrXhShXo5XACY6DMNlAcKRsdb0cTh+koTx9cqtTcOy8h19/AW+pbDXAdUB2B1CHHAXVQcF1bQ1M4s0LVM9O0XBc2EPT1Y2eb/ZMbug6LNOA4zjw7LSLRLeFPtKKoLVsNbn8K/XPbCtaAFWm3T3DTuoE09UQGnhXxBDTQ4DG98bCGKAZC4GE9U+MbMzlZ+jfgoyCYIlaVRZqGqRiAYpShlpQoEpS6FbT/oONGs62ttEyHHNUs5WRzaFXalgajnfBpCvh+AUgaBEcz1oQHRGCS+McZ8AxACRNH0Tft33fFz3P82o1d5Vw1E8Hml0taZJjFSHIKo1SO/vs1M7OQ8txOIJujGD2+jBH5FYTHFdgOU4vEHG74wwfmnyFwbPTVvKi7nT6RZW4ThItZiey35IINpYzUS5xfBwnnvEGnOXOPxD5lK0uFmVBLUKscUhF2VGUOldV1dUURZQFMVyyrF5xznYe8abhYFSTMLKtm8HxNpl0bTi6/X64PStKwf8wiOEYrgRO2WqvhrXAURgNSqJaUmI4njbZluvDGppiAEd9hMByHMSWo7GaQeDXzq+saBzkQ5E/ma1OWXKTc2amg4tRqDIJV8kFs6auCyk2jqe55LLPnXMzQ166fWEt91++HMQcCY5V2ZYVmSlalSsF2SoUFFGGFI5zrFWd5u4eP7sNOK6aScvDsQ5Bpvh2P0zKBGCkD8GR4o79OXAE/Dqu51brA2g2hyaMrBJEpoqyJH7+2ak3L3jDdWENLNdwh6LRGcEYJdzq7EHasX8b/gQ75WenvW47CJNcfi7Px3+F520uTcRrpMz1HHP5SX3G+md+NDY1bZllhC8u3e3JApIAWhAruBdJhEmCxez0WNRZdefys4f2uhbjBSZoBEdNkooSFEWjZExkOUrgnm8JWzX58+4ezgwOWnhiPZbjmpiUCcc/fYDwu+dgU251qiEmwoSMUoKv0nqOCTj2PXiiC8/cgRsnZGh71pvDESWIUCHb/OyTV2+e84brEBxhuKZo9EcwDLIcB2HMMZ4yNomixUOOWdctW9+y5eP++tDkO9GqPMmX06UOps1wCTKSSTeCop3EYQTCqeORpThbzuTzkctPxxdkcMUWNU2iWTIhHEtBplrTKFtNg8A9l9XLwunOtnemi/5omyvDm7jVt82kheD48fRUtPf2BKcDYSj2RDka40iWYxKOGAwglkpBQoay1f32GuBYgia0YziCn31y6mft0K0eDGC4hmP0R6Jh6L41MKUAjrH1cBmbT+FGXjAzY827bkH8za0nw0Sae939kE9u9VQSLcqfJX+h5FrMTs1rJ83R3UxrIjieKh/EHGeMZ8w8nqr3IcunWUESZ6FbrUaWYwmqpkJTOS12K4oBHGviaaMxbFoCH1Ysd8R4YXTdhEwSjrfBpAXhCNHeg+AAwrAXwbFcZtIgyGhHdQxoSqu/Ljiet9sKkxuqXYLmd6wyE1iQkGm1pdpp09123TAhE8KRdiG07YEHx7UkdwqOGezJD/86NDDOVssykvAiaF0mkylfGn1keSLLLM+4bqKeIL5IwcnLGGPW+Vz+Zbx+Qv8yjTKGUC5C1CRHJstRrUJRJVagcY5hrlpErYqzrV2cWS6GFWsUwBE6rE+f3tuPX7xw564ETgtPAIyy1ZNwXD+T5sJxcHwsGNKBcAlHiDKNcSyHw3nMaCgPPWsER9vv+2K57CUtx6YD73f7cA8PD6E8e+Zdx62O4WhwoyDoaokJUD1Bl1pncq3ZxlYARxO6M4LZ12HoF449BLddfXULT6x+PcflYPRQ5Av8qvnwgO/YjKXiuhMxxcT5rONpJzF5J+ZN8svl24ziwzTOsVKBEMBR44pSctQAjhLB0Q3gWK34Zzv7/DSAI8eIFTDCyc3geFtMmgvHj+9PRO1gn6Xh6LFBsCJ4mKoOP1fB8Tfmkdd3nvrKMywNx2+PjiS/UpFtR9G8SlETdJSYAtVzHal1xmvNjrvtOLCGFvQg5jhwTL3PraFpO64vuatfsmw5qOWll9OAECVkfAfMToxbTCZYqEaCVFjzZVhkonwiEZZ1fKJllGlMTDXN5Wfr3xLAOIdQEm1eKDGpKENRqkzVuKjJBciCTwtPiKxWc053dvmp7pqjOleGpt3V1VHV/PQJ9uMXuJbleFtMyoYjIPwOYB/fQ9RegF2026IrCIIv1ASyHD0WbpdAbOTDIXP8oh/CEb5Iy5Z1u75TrdLrw2uewPuNCa/v4NpwPK88lcsONEsxCrKoFgPL0YXUaru1ZlvcdkxYQ3KqTd8Y6NzQL2APGWxHnxFzXK6vzig9K6KVLLZgDPPa7bjf8hmzPYiTGf+xquaN7Enr9Kryos3GcpLlkseXqW/ZkUAbLN+m8fkMYkmGKJcgVRRHVStcKUpuQdREWQC4jyDm+HlnFwk4QldHuB4cb5lJS8ARIg0AL9dCKHYH4X85GzKgCMeHTxlrylaHcITvVDETjifv3vl4+dJ7DfhBAxibnqoUmAY+ewUI3x5BOq9ALivQLMcoiFwocSYrpgup3XZr503sOK5ojUbQHRNG34BpDGCZJhzXh+tcd7HbBfMbU9H/VbHxgcoPhvK4kVWYhCRN10wODqcysyA6VW6J69I3M5d/2TcTerVo4QmyHIsQCyVIBdlR1QJXiqpbEGhPXAdcEIFa3T/drvmnpiAN6xxD014lHNfLpEw40tYIpQnL8bIhNNjSZOUg5shprCOAIYZQfN8XSqUg3ng1HOHjJZaGo6DQ/jEouNz6H+y92ZIjV3rn+T+L70AgIpnBLFalpKxWSiWRpaWbY5LJWhe8mFcoPcK8RrFep3k798M2m7EetUSptDAllSiJqsqqzGRmxobFt7O0vuPugMMBDwCxsckAzCRWAA7/kAfwn//Ptw4CxsIiY97JGTs8OcWxKlDMyOdYK8c2HMteobUtfRr50Hei5TxH1rlgqQB/vUjc219el2odm211b9i5u5g94WnLS8bMGgXaF87e8rwr3+U9tF94VUBmICAJjjRcKwl06AWI/IBSCEqaXI3R0L46fse+JDgOy3SmZTS7qnK8ayZthuMLiOg92lZXcPTEWLjpg2zI8gGYnDZwBLXisHyAORwvzKlhmibrPNS/8eViW/3i06vDkU/zBEmQBAxh4ZQjDk/ekHLURZ6LNJ8hG0+RZ2MURb2tVo3a2LQbbX71y6y78uZ3/sZdz7fr8Zs+4a7n2/X4G7ZPARnrlOMqdbo3HrfB0GDtYFVfK7PV49o+y7XJPytJQXv71c2GlGMUgYcehPTgJ0MEg0CHYSwij+uQUnkEB0YHePUgKV+pwJvcGBzviElXgCOEmU64NwDLGWMJEndpTCkg42qrJ5bbgeEG5sK4vnwmfYgKjk9AfklzPTiCTCaeLqNCM+/0gh2evMUxdQJPsyIrpiKdlNb5HAstS61gVrfVuyk2117E9T7oKsjVGpp1SmiVHXv7l60To2j1tjeyTWBuve55wNIugpcM65Rl3/M72Fp36LfKvgdQQCbgjXJUYSJl6MU68jwTgnPBYdhoxF8+fE+8zHU+PSzM9EaU4wocb4dJm+EICPX6NdfHx1zTzOoxfRDUcARLKjZiOm3gCMstDB/CiFOYswaOVZeeG4Gj8YpBEPphkSnv9EIenr/FMQ3YylKdFkqklAyeTlEW5HMsr+Fz3PJiWIXnlm+8ocO+bfYdHOlB6rENLxo3sc5/3H1+09/NPa3xa5JCbZ+3/fre/sLn2F5XDiZkpRyjCH4wRJBIhEGiYz9AIKwQFmCjEV4+fA8VHGUw1QVm4Qj5rz7bPVo931bfEZO2hCO4PsZaONIW209gSTpSUIaqYzbCES6xdDef4xP4+vU0DmwSmwQD6DJizJMnp/ro/I04zktd5jOkhRUzt60mOGqUKlsox211Xm+5Xsd56ZEUaD02iZ29/eW7Qd86k8/xsrXc5DLsrZDpqZzp3qOuev7mPPfBfsFLJqXHA68KyESeCpNQht4QkS/h+jnSaNbRSLw8/g5e5BrTQ4kFHIHyu9gtlWcZjrfPpBuBo9tUzwBK4+FxYrpwPHwIN551rhyvCscpYhquZWQFR6uZdzZmh2dv8S7NkMkzkWoFpxyzHOV0Rv3B5TxavQ8i34xU3dYpsO1x3U9FGQb0HPkd2z4+ycHWZR5U/snqsc3xkpesfZ9r3+Ta59/b719/W+c5EhyjSPlxhDCuxrJGQiKgXTcXYIMRXr77HfGrdJbPHiTBZK4cbxmON8GktXA8/ewzfvThh8xFq52EBR/LU2E550M+4k2OY96MSnAex2rAFrcVHAt7YRN9oGnIlsL14JgAnn96Gkj/KBIUkPH5gHMvtEx5Z6fy8PQr/ai0Is+mOnNwzGyWzWQ50yh1tkWFzK5XcX/4u7pCO4pyI5L29peWiAIySzXUbcXXWnuC2jLklmuqnYJrDvC8lfDOksLb9Tj3Nd9j+55X+RwDSCmVPxrIIA516MWIOUNAL1PPsjYch9xMS1nORgcH2a92hOPXwaQeOIIffYgOHCEs5TmOwE2d47iAY/XbJjiWk4mNHg10cQGbHIA6Xt4sHFWeUEyc4Gi08s/OSDmKdwutiyyjrjxIp6nI0kKVaS5L8jneeIXMuhy8jQS8wQO+5fb7ttVSg80zDy5pMNFVmFKXTPUllbe+FjquUZ7rtvV7+631J+UYgAV+C45SR14sIunpUNCYBGFwlPCXD941v8q5mQ5LgmM0Gx3gCnC8eyY1cGTWWvykLvI+/WzxQT5/9UrGjx6x8SnEAQc3BEcKzFCl1XTKKQG8eTg42oll1hpuh6aB48mrV+bho0f6qtvqSjkikD4ioZAUEgM/pzEJ9bb6BI+KAkWWUvkgsmkq0iU4drk0/+VvKdnmqS3b5TmuJCZ351bv7dffyPr1Z7bULo2n5QdRrUOlB9BYyeYhPW/l7+5X3n1/8/oiA2HxkZoA197+YhVX1h+AkCUPI0+EngriEEESyJAlOg4lAkFjErjAINavHn3X/DLXlOeIaSkxE+mr/OLRo2KDz/FrZ9IWcISMH2EOxxkfC8tYPZo1YUU6c+fwo9gFY8jvSOoxjAd6AUeYh49ws3DUiMCUd/qGHZ2c411dUCoPMpPRthpZNlPVtrqUmtmb6QR+g9pvf6pLVkAX0AQmUnJziLWU3xxezYuXVMS04UfKr6mwWX5+UWmz8nxto6089/ZB3ZKYTMAolScK4ccDgiNCFtB0UARC0mhWzYYDvHz0XfFLCsjcHBzvhkn1j4/EHnqUY/eDQFiqq679jQVVyMwIjlWkuoIjbBjjduAokWRpOfQFi+gSOj9lh29PxSPq55hNtVOOk6nN8kwWJUWr8+vnOS6u401Kc9PrLY29BIdtQ0Wbzr/p9W+G/apCput1XNfQseVTdC+317Hv/a3nXeLhGkpXzsrWC/V5u2Folze5OO4+2S/p5iXAgwjCk/CHkQqTWDo4RlLXc6sNGx7wl9/5DfE8zzAdSkzLkpQj8otH2KAcv34mrYcjwPMvvuBDKdmb6IlYVo7r4UjhavYwNgRGB8fvQLOzM0ODtvLygb4J5Qg9i6UvktLwwRyOY0m11d9xFTKFmKmJzqeFSPMcxays8hxXfI7dvdSKFLhlYbe3v7zAnfXn/5HisXRAw5+ee0g3qryuEmapjLDvXtRnZ2+/+jpa6+aUow9GAZkwhB+FOkziSjlGlMrDmQTnGERuW/281N4kKtOZldH0SnD8Gph0CRzBhxLsTQRhxBtuHz7kBwCfjdfAsXHX2KllNnGArOAIQ4O28hIrcPz8E9gPnsF+/GPYTY0nGp/jHI4iGPiGttWkHPXhm9fsPQ2e5ylSNdHZNBOUylOkdZ7jzW2r91S7lGo3dE+Zz5Bx59tCAXbj0CulKPUHW3l+g9Lc2+9df7oShCh56HnCwdHTYZzoiEd+FPkIXFceTcrR0rb6eSkwiabXhePdMmkzHJ9AmDcVHP2LC2HYAW+21TYFR9zadFpYZrEWjqJ8buTjx8aVDwL2anBELH0kpUALjjh88xrvaSDPC4IjsslM5bmS+azOc5zDcVMpSZ+CXPHab6BAn529/Wrh+tazXh9WtgIybTZ2y/rWKcDu8Y2vcg1j59/iZZUye/uLH3tr/UsOFvlg3K98jg6OQxFyX8eRT/2wjccBFkf25Xcei19UcMQsT8ezSA6znbfVTjnWcLwjJm0JR3D7EEtwtOmUe0my1G2G/I0sqeAIOzaRHmqnHB9Ai+cw8jGuB8cAsVRIclMOA8EiSz7HMTt8+4a9pxXP81Kn+URklNLjttUUkMm3yHPcWfFsouVt79O/3fZpOILqTIKcK8huC7F1ynLtnrzZF7ai3NKDapayaU6iSybhreF3/b69fVdOSNvqMAQPPOXyHOMkDGh+DPfLOAwQeExIy8CSkL9491H5vOB2Ikt/ytLx7EIOs2hXn+MKHG+fSRXcLAm+VkCm54OYX44lRox7gwGzVF/NwGgsBOKY5nlUwRhMLUsSgzFMpLECx5Nnzyzef99sqxw/+vRTcfz0qXeUPPYxhyOGgUBk62312xPxni51kZVIi7FIyxnymUVepEppK7UqbiZaLblauhnQ9+9+KB2nfjcHfFPO+LZsvi/2uYDCmjZvlpWM2Z4muK1FpDZ6VMo6f4ruVZvuJ3TwhuP29hfrT+CTUnHfh/R8eNGAhXGA0PNFHAQIBYPQxrDhEX/x7lEbjphdSGTZ22flB++/r3pnyPxvwKTL4fgU7A1oW11Rei0c6wFbCzhWuY6+Heg2HKefvbAPPnxPn/yHnxHvYwc4Qhw/hZcMzgLfP4yYygdKBgMvVzH5HC/GcnT6Bt/VJYoZMNMTnU2mIisU8ukk0wRHz1YQW30sXzHKXR2LR1f/qc4Vtnh9eb+86pncbr++t1+tE+elqnpg9vkEu99kFUZuErib/pnLweXlqHJfxupaH+eK73Fvn5Q9NZ6gJPAwUP7wQAaBJJ+jiEKJUHIjQV63BC8fPcQviggTqTFlJ9eE4x0yqR+OAB+iC0dIjKqOPHPlOJ8+OCN0WNjYkIL0LTpwhH3wIRZwBOwHP9kckPno0y4cMVASczi6bfVX7Lta8zzXSFWms+lUZLki5QhlKFq9a56jrhVirQz7wjC3Fp655/Z1kwROSt1Iu6kRBClqZRY3wO7fDcr6nu9tqru337/+XDEhJPd9JcNA+/Ew8AOJSEaIA5SRkEKAA9HAvnx3ZH6hht4Y03SWyWhqaa78VZTjHTNpOzi65sykHJfhaNMZpy1186jgiAUch9WYhBzQ08/WwPE/jv+Y3nPJmIQFHBFwNYs9P04cHDWccqRo9elbgqMtUi1m5UWRz5Sf5jNVFDOpNLBmNOt1sda8f1VbLmuK7RRjtZ/b5fHttk/b6iVlV2+xq13v4ruTkFhqRFFXIrnj2i3IaneIO57eX4PUlRm2f731/3bHLY1jqBo67+2311+C8Ndsq4cDHfqBcHAMmQmFhLAGLErUy0eP2M9V2ILjEFn2DOUH72O3bXUbjnfApCvB0bIqGGNndG8AyjRlXhRZgqM3ndpZlBinHGs4nrx+bfDzY7OiHK8BR2jEVit/fM4OL07Zd3VJcMRMpSKjcQl5rooilUqrdXDcBUSbj7WmUpqM923fN5/jOkd82+yzVp7jUsVKj+uw6yqUWjFVq/51rsSV4zvnbd+q9vaX3UzNeliuGCWB+wwyjKVHeY5BLEKCo8cQctpWM7BBbF88eiR+XvBiwkt/mklM7S3A8TaYtBscx6B/sEvlAZtxiZgRGBFH8CxqOMLOIkq7HpvAGJ2MRvrkNQwUzIP3OtvqneGIWCAfKI8PmGFOOY4n7PDiLfsebatnmU41wdFglk1USXA0dKFddcBWl1jz0GYjMXZVfNdBIF3BHcUrv532Of1aatfCEuTaNeplay28ZQVJihD16933txUlHVfWxzXBNQfTS94//wbvuX1S9nM4JvCjAIEf6sgbIPaECDhKj3OBiFJ53hX/XnBMeImbh+MtMmkFjvj0U/7eRx+xfJ2EXfog4BJgZT1gaw5HCzuzDkcmMKTaTk2mjvQcjnUvx8/J53hFOBaeHgrjuyRwguP5a/a41Mhnms8wAfkbqwqZCe2ubhCO12Tb/u3brUA7Wt3eXpMibENs3dn60hkvS3NszmPXnH9vv6UcW+tTasVEILnPlYwi6YUhwiDWkfRN7Puez7nxOKNttX1x9I75ecG9cXRFOH5dTNoKjpOTE5FPJiL0jgR4lcpDCrINRyBFObU2iWIzS+BSeSo4wmSUmNEox+vA0UcsNAaFmQ0F9yNr4I/H7PDiNfsetSxLCz5DIdKs0Fk+E0WaovI57hqQ2XgNdxTcSknzbSu6b7d9Uo4EqvnXQAq5Vs1tOFqmGGtlIlB6Sfera3/39Hr37+a8SwqTztNW6Xv7K+tPosj5HKnxRAQvHCD0Ax17HiJPspB7kNyAxUP+q6N3ygqOAtPx2Xgm3xumu/gc18HxLpi0Bo7g732EJeU4OYHIJ+ciPKLevtSRpw+OkU0irIfjMcwDQJ9cA46Zj3jo4IghMypmHF4Nx8cFRatpW61FmuU6K3KRzki4BQAAIABJREFUpxkqn+MNwXHpgm1dhZvUzEbWbnnAfbHPLN3TrnGDIbC2fI5bLu/NHXYP7JNypGa3vlf5HL0YlOcYSaFjT5pQeFXLsiSxLw4PzM8LZsdJ5E/GajyTw13h+PUwaQc4QoRHEKQYKfnb+R7TlJO/sQnIUApPYu8AjgJDplVMynE6ZqPTE/aY8hypK4+x3izLkRWpKmaUykOqte9C2dWH1z2+uZwa39+m16/rw9x0/k2vf0PsC4bS5Sq21WP3s7e/05WWZbXq9CQa3+PSb6DlU1wh4tJ5l5P+l4695/ZLTy58jgF8b4jAwTHSscdYyKE9gmMY2xeHR+bfVZlPhqPBeKwwk0PsqBz74Hi7TLoSHJFOuevpmMTu/RvheOS6rNycchQYolAJ+RynlAR+hsc6N0WWWaccc4JjgXw2rn2OPcqxt9S5k2d4c5Ji+Ux7+9V6dBOrXECm2yD4tr6E/XmvtALkSQoom0dChATHGGEkEXkJwdGEnFOKOEcY4sXhEf5dlZNbheNtMOlSOKrnz7l+/JhX2+oFpYvsjfDwkHkJqmg1OR3q8sEl5TiEZqcw2RH05NUr++uPHqmdt9WAOAa85AzBVKfJ0PJB6fEht1W0ejJmh6dv2K9pizzP+UwXOs1nIstTVZRlncrDl8sHVZ9i7CkxWxWGy3mGi9eXT0D5cu7R2SHu7fdE3eunXUCm9Wi7E5Z8jhqMtfIR+45rTiUYmG7dKJ2Pcq0vs+ObbCnYvf0qXY3WzvkcPUgvghd4OiLlyELjUnmEL6jvKwtD++LoWHypFCbDCNdWjnfJpCvCEcKLwWh7XTYVMhT9oPqYyJqptcZPEh1QMAQwGQiOsL/+CFeHIxBM36bJ0I8GpSmHXLAYWnqTsa7gqFHkJZ9pTWk8yIsceWqhdL7Ic+xTaqLOU9SdPMVtvV59eYbbVtbs7Vfb12b9uYWaB1fcItYreZ3UpW6AZcXF0HpiJdFxb7+6ybcWxigm/AqOMpKeFyCM/da2mrm0PxYE9sWD74h/W4EjUH7wH1/sNrXV+HSxre6H480zaRWOAH8PVUBGPQfXj7FGOa77IDS3OrVxFJmphbF2YgIz0OEB9E3A0Ts/D0s1ioc+HByp/w9rttUn+DVdmiLLbWqsIDhmeYGiVFAm6y8fXK2V3oTD61bWLF+Re/vrlTb5HJsUsaUVq29iroKlvRsw5AFf7A6kAVt6vT7JyuAto5hak7gve57H3n5dKSShJCB4BUcRwI8iBBE1hvF1LAQLuYSAAQsqn+OXqrST0SP/YjyufY67wPFrYtJ2cAREDohwXAVkiqyCI7KU05a6eVCFTGxRwxEG52Mz+t5Q3TQc86I8IOVIcJxM2OHbE/ZrtqS51XamAde2LC90UZaidAGZG4pWb+2cuSOfZe/n+YbbN0Xtc3SlLAsXxiKjZtWtMcdsSyFKSeWC9aPv+Y7XY8njsrffv/4UqoYSBMcgZr7vI4giEVE/R6+Co6TywYDyHB+af1OpnQxGZjwrw6kLyFwXjnfApJ3gyCYTyRjjSBNewRFcIa3uJnX54DIcYUbfgzp588YY/dBcdVs9fPHCH8bvBSWl8igMCI7G4Vn5swkbnZ2wXzc5iqK0zueYpdSVR+SkHHV2A6k8vZGT1m1hiVSbFOjWmF32Wfb4RFdDGt9s+5zqW1oBGaEV02syDrplgHRcd2Xb7+ueR7R8lu2lped1y5e5t7+6/pRNIAJwjyvPi6RHyjGkPEfBYu4jBIPkAiDlODqwXxomx4Mou3E43iaTdoQjJKMNTArOWMplHDFFARlEkFFVPrgejjBGY3c4fvwx/+jHP+YNHDOdJrEXJbbAgRHUeEL503N2eHbKft1q5AX5HEukZaqzQos82+c57kjhyw+/qzxLXkItttWtRhOkBFsUW9cIogmAtYNepCAbCblaK718/tXj9vabX4VT4s1yMOrKA+6Rz9FnfjRE4PsiCgUcHC1XntAcwdC+GB3af6vgiPGsxI0qRza5PSZthONF8FrY42NO2+rmg6iTmfDimEnCU9pUJaRAFBk5ndkyirWlEsLzRjneLBxLiwNOAxq08rNzdnh6Yn/DtSyjJHDwWT4TqdtWK6tMTuWD2/Vz3Jx43CfdNknLm+rOcz/sC381z/HSRhJrGk24C9p186nX7LK8xL57QkuJ7u23WsKRt8OVD4J7UkqXyuPr0E9EKJlJ/JAHth6TEIT2xeED8a+qLCYHI//iJuB4V0xaC0c8c7NhON6CzwZvBHtX8EIIEfIDQcpRsZnwWMyofFC1otU0mjUykaHaakmDUztwHKRfajx5Yijncava6o8t/+jH4MMX8IcxAqcckyjJ83IkDHNJ4GnKRmen4tfJ51jmOi21mKkUWaHhKmSMvkJtde14x9fUZadx/N9X+xStdmDra4/ThdmSb7COqi6cjYujWwpyxQuy7r6zt79Ypm7FKnczqzkPIMIYvid06A+oQsYkHhMhJCTnHEGoXxweXh+OXweTLodjAD67gGDvghcCIuSo4QhBaTxLcKTa6jSyUYgKjjR7uA3HhzCDL6HxBOZXn31mTz/80GxsPLECRySBVwyUZQcOjgx+OmGj87fsCTTyPLWptpilKdIqWi0q5bgSkLlq1HnT+za9fl0f5abzb3r9m2HfJYG3wNSkStGnb7eFo+dZe1ewwdXqjm/d8ChgwDo5sGSj+/ze/sKX26xfacAEBWQCKQK/SgL3Ix15Hos9AQdH6gTu+Xj58BH+Rc0wORjh4kJNZkjTFMfHxdapPHSiRrDdIZOuBUdQ+WArWu2UI5UPUirPZGI8NdBVQAbGLMER9vRDXAOO/oEwiC1TDo6nJ+z7tkCuSj4rtK6UI5UTUrSalGMDx2ab1B2bwJY7f+/sqNs2Ory3X//eOm6OzvpzoxQBanWoy2WdFlvf2lol2fU2dr/lPunY975LzncP7Kva5+jgKHTgRSKgxhMyELHwEQhGvkDDpGdfvvPA/osu5TgJsvFUqultwvEmmXRNONIWu45Wh5Ft4Hg+m1kZGu3ZgR4Nl+H4Vn1h8/OnZlc4hvoi1PFBXClH/4AZlTAmvTTVo9PX7PsUkClTpEbZWa5EWmS6SHPhaqubxhOicz0sT44Hmtf7n99Wma3H697+8rr0rbP1UFZw7H5hrWh0twb6sr+b02zbEKLvuHY0/L7bR9UJnEklw0j7MpChmz7osVhIhJycIgLwPfvy6J3iX3UpxkPfXNw+HG+OSTvDUaVTwZKEU46jF0VMZXUL+ZAmD1bK8XwGK0NobwA9wk3DEYOiKEeCKmQ4/HTMRmdn4oktTV4UOlOKT6kbeO6mEVbKcVNXnk1QXLlGO090odc0TFiXfrIOm3v71ao0sOQapbWK5sIvVV5X0dINzsE14w2qs29SjlUByPL59/bb69Zef8XAfCofDKSQnvalhyiKRcg9Q8ox5BySGcNlyF4cPLD/wmDGHjMXWoZTpEhxjBvbVt8Wk3aD4wGEmlZ+R8px9CJUcAwBZClsGBlvltqpjcwSHAFjUPkcr6McC2p1MYwSgiMHS4wHr5ixhXIskJaFnWkl0jyrK2SofPDGk8B7Ew5r9t1wnuEKUb/d9g2nUYIL5bjUhHY1F2e+Oq6/YzcfspUvPs9XbALYrJW/1zqvaD9PPsh2E9y9/epWU8ORmvNIX/tUPhgliJgwCcVuhQ9hAeb7/MXBA/wLQzH2mH+hJW4WjrfIpDkcP/7JT9jn77/PPvjRj9g65+dkNpYH3xvyFTg20eosBbUsI+XYwNHasRlqrWaHh3oBR9j8HFfYViMs4jSJB1FSZBhxqxKl4ZcZG529ZU9UicIoPisznZYFMuoMXuYUrbaaMUkR8t0fHQbRxbfuJPOGqzUTu/mAV+73eE/tG0PbalKOy4/5gKwN32RXYW79PjeAq3ms3oC2Pk9H4W79vm+SfQ5G5YNeIIUgn6Ovw/hAhIyzxPMRGkvTJsC80L4YPRBfMGDsMewEx6+bSS04gn3+PtgHP8IyHD0IJsAnM8iD76GCY1InglP5YBhB5RmTNrSlTa21kaEcR1KO9N+hhpod4sbgGPpiMCvYKLA60Ux6WcZGF2/sf6I8R1NiRsqxLJGVBVyFjCnsPs+xt3Hsrj7Uu8mztBylGxrfM1Cru0tuNequyNY0Q6KUrDo63apCBNVOz5+/BLR7+6u1V/Plomg1wVFqGUTCZ752PkcrCI7GVchIC+ZH9sXwgffPBEdeZGMFNZV8MNtmW/3xT75eJq2HI4XO6/+bUfI3wCdjyINhF47k/Myq8sEgtGUKayNqOgEjTQVH7/RcTwdaBw8e6AGg335xNeVYJAhDhST0iwqOoobjpIaj5bmmbXVqZ7as8hzzEmWhhZa6vqi3zVu86TzHXc+36/GbNPGu59v1+Bu2b0k5WkXluS0dtwBzF1pdZVa9rzre/f/6e3cNKVa6RxJL++zs7S90dGf9GRinxhM0oDqC70kdRaGJeChoVEII8jkqw0XEfjV6YL8As2N+MRubQEwaOH5CXw9j63d11rIlOH4NTLpZOALW4rbhiMHMlKPAeoky2s9SjMZn7PuqNIUpeFpmdqYKkRIcldJKF2KNz3FXxdS31bqqb3Fvv7thbv/taqtb0WrZinjRAIXm4XyDrbSsvuOab4ncIu3j6f3zvMfWebvH7e0v1ny+/gRHKOH5TMhI+KFA6Cc6Yh5LKM/R8GpbTUngyZH+gjNxwQszNjaYSA6nHO8Ejtdg0qVwnLx6JfijR7w4OxOlOBQRmwiVceE/jJmrr6bGE7XjXAZVtJrgWE5nVhirZZToSjmOdPAAC+X4FOYUu+U5NsqR+xgog1FgMYfj5I39TW2Qm5LP8tLOTIqsNKQcRalb0WprqL0kwCz5ihcPy+rneef55vjO812h1Jy3eZ71HL+3v93681o50nq2e2wKB8xt8xGXIye6lezd9M9cfI8Sfa/v7S9yUtvrT9d92+cY+ghliIjyHD1pIjDjksCD0L5Mjsp/5iy84EV+bTjeJZM2wBGCPwIvziBKgTkcWcI4SylaHTGVN9HqDDYITZmm1prIiAiattbeKfR0gOvBEfCLi2pbDRRDI/0DYZFYo4M0xcHshFVwzPks15iZDFlZIs9cQOYmW5b1ZeZt2lfe1Ov3w76bIbMuz7FRkLTtbyfy0/PtpaHAWTfR390VN7xvLkk752s/T/97b59RCZODYwwhPfiBRCQ9HUmPJdR4glvj0VKFsXyRHKl/5kxe8AJjY3Et5Th5dXdM2gjH3DsRgj/gFRwhVFYFZCo4up9bdQ5q0OYCMjCU0iPsDcDRWv5RNT/bwdHT6UBYMdDgI4IjOPPziR5NLvhvFiXPmebTLEfqfI5l5XO8WThuCblacWKD4tzybLsf9g23L1rKcV5f7vygtS+x8R03vtGlPXmr+qatNNv+5hUFekkR9ZKtvX2n3Lm0LpUHWvBYCMHhS1nEccBCJpCIUAScw2ua3YaH4mc+w43B8a6YtAUcQf/4BRzr+mqCI+OZm6CzDMfI2BD9cARsji231dbyDz/7THz3ww89gqPW6SAhOHr+SBiVwDA/TzG6OGW/WZSmEIZPs5lNrRapg6OLVvcrx6snX3cVXJdfK2nhawG3t18tS3c1OVMlmFxOm5of1E5IlMtvXrfs7ZN3FOby3OtFQqR7vhu829uvf8N1oIuBeYIJ33d88G1ASeAISTm62mru7mSufDAe2Z8FsTzn05tRjrl3N0zaGo6zdCwPhkOuGjgCnOXgLgG8frhotVOOFRzNeGKSYqCWttVXgOM7jx/7WsUhi2US5WJofD6SQsbK6EBPcHB+xp5SXqMAn6ZTnVmXDI5caahCQ0smliJiGzentfLSHd+kqH2TXdLpjkIUjXJrDuy8vre/vIJdplmjSmtdxkSn0cRyo4jVRhJVHipFn9s+xL7jVs+/msd6WaOK+2yfmhFzq4UXQAYERx9hGIIaTyTSo36OrkKGeQF70cAxO8knoR+MrxOQoW11A8fbZtICjgD7HGAfVEndLpVn6YMIyANqV3YZHO0iWm2mUyMiSkYcqKlu+RyvBcdhEtliaGhbDSSaMV9N9Why7v9mWZgCFtOMOvNopLpAnhWVz1F2ILe4NDdiqsPBPsW4rAFXz9qnJPf212HSAoWD404tw+hMtfqrB0EtdfBuCc6lzmWXVLzs7be+nU4cbBGQgfShA56IIBJlzCMR07hqDhpIahiVD8aJ/Vk4lGcER30UjMPsTRo8fJhvjFZ/zUy6Ehx1lroSQo9FVelgoxxX4JjoROOacIR45/GrWjmuwlGnOBifi6elMoVWmJUzm6qygqO2onTKUdcQ2tYHuEH57ewE3NUHeM/tt5Vj71q3ygRXxxqA6TVNbrvHNTXwO3+f9Ib7bp9myFgIKh+kbTVPqBO4iaWHKpXHGo/6OcqYv4iH6mdM2nNbmLGObweOt8GkneBo0qkIOROMx5zgqCMwYqNGxgRCm2UZrLHGWBhuIk0R65uBI3ytELIYSVAUB/D8AyFUokoWlAWGkwv2W1X5IKZlblOVCQdH2laXTjkuz61e9XJt5yPsfd9cOG6rBLc9bmUD33miNvwts2+4KskZMv/H1grSuQy7Lsc1I1er41YbTQhyUbqnq9cEY0yLOn1rqbZasyWXyt5+tV6t9Xdzq31wybQnpfB4iDD0TcwDHntMRYZallkwL5Iv4nfUPzEQHL2xjjEOM6TBQ9yIcrxNJl0JjqagxM+IERw9ZC6dJwhCM4djVMPRQicDqCngZljr58+NevzY7BaQIeUIX8cImargSD5HXuqB5dIrShxMTtlvaWUKo+1U5zwtMuq8izy3y1155nmGW+Yz9h3fRVY3z7F5vZvvuLe/XT4pt6q0hjmf4xxedHFqTZ3n3YM1UKufXz6uOyBLLyDYOU/lo1y103yHe/uL3N/2+kMKl8ojJTzqysMDEYTCxNZDEggTWekuMuZ7eJm8Y/6RefbcTm8PjrfBpK3gqCbnQh+NREXpRJiCbrqZU46S5QwIUMHRdVE2Jkor5Wih1cCNuL1ROBY+pfLoAWfSKzKCo/1trWRugGkx0anWooJjUQdkervy7Krgdj1+04Zt1/Ptevw30z43i2g1zUtoHrK3BEZAtUpn3HE1RZf0o2tJtny+hcDs2Jm/f29/3forrV0SuAyEpDxH5ukwpDaCEVwSOGdcGg74Pl4mh/wfmYfz2Wk+8Q+Di5tQjnfBpMvhSLNhTyCUOBeaExyrUQmGgjIcXFOo3tVWh7ABDOU6VnAk5QgHx5m50Bda62OldJAfa/UYV1eOEklwgYPCVyNrMeCG+QTHjLbVBQrL+aSYmkxpm7JSUCrPPs9xEx9v4/VdfaxdZwGrAjJWryq+tmJs3kbH9Sm9Tc8vmxbU+39ePbW337/+TUCGlKOQ2nfbasZi+NTPkYdcw7N0gYb8RXJg/pFH8uxG4HiHTOqF4/nz50I8fsyX4MghQgZhKBF8DscqCVwFmRVZaNtwTC00v2E44qIYMd8/sEINuGa+JuV4Yn/bdeVRepaXYsY0T02OPNNVtHrez3FTemIXFL2tuzedqOMLnF+hO5LontrnBEdTpfK4h8u9XrfmncTFtrJs3tt+n1OUrfO0FOaSP3np+b39deuvXeMJwaWnPenD+Rw9ZhIReREXJqIxCbStFlK/jA/ZP3jSnqelGfvHwUX45mo+x7tm0mY4AkKdQ2TpRIrhgPfDEVYAlsoHeRhpM52ZMowVKcgLDT386o0ZJQ/VdZUjwRE+H0HIhGtdwfGc/bYuUBiDqRuVAJuaXOQq16o0q0ngfbXPcyXSU1O9kr9Yv2FTnmO3Gnhvf7mGvXvL4FaXllEzqM6DFGLL19h7q6HJhUsdwbd934bj9vbn6+/gSI3fOLwggmc9gmNJcIwJjrDGTR8UPl7GB/wfPFneHBzviEmXwBFCPIabV90LxxBM5mA6z1kZWKpmtWWaWRYEmhurbxOOzba6LDGcntjfMQq5BZ+WJZ+pUqea4Ki0MhT37EvhaVJ86qtMiVqq1eJinmZXP606xy+EzXKe40rPnea8qxf70jN7+9U6CkPKUXNy+s8fa5VjoyzXKMLuWncV41xZtg7sKtS9/d71n2+rAyF9CZ+HOhTMJNwXsaCWZTS3mmoIPbwMDsw/+LE8SxXGQkzHWZrMzh4i/3xTy7JOnuP587tlUi8cP38O8RttOApIQXeKLJUmhyjI40rR6py5c6zCMdJlCKXPxyaNh2r4FcwowQ0oR4zQ+Bw588sUB9Mz+4MKjnJapEiV0anJCI4oDfk+a6jtGj2e74Z7KmD6FOOudvqOv7/2yX8MjpYv8VLF2FF0FFVtR5mbdex7vtfO3v5CvXcUu6utJh4w7QlP+4j9gLbV3Ecs/Cog4wqcBF7Gh+bZTcDxrpm0EY4Xp6dS8COeCUjrotVcrMIxQBlktXKEpSZutJ0uH0LpX94MHAszjuThMMYFRpZnh7StZtYEeSGG2QWr4Gj4tCiQknIkOJbkczRr8hy7CrCr7Ppev+r7NihGGuO29Ljn9q1BAVKOc2neoyDX+RDX+Rrr54QU0C0F6f5ec3z3uF4Fe4/tuzxHT3BJokkUAY9EIISIuWcSpxypKw8lgdO2+sg8k8ye58y7uI5ybOB4V0y6FI7HwWuhpBRtOBqeCMshnIpkYIZyHAHkyOH7gaH6ahZA8xC6jAmOMGmMaytHgiOPvIRN+AgBH1noAefSzwsMp2fsd5hBrgoz04q21TbVJXJrRWnLls+xL4rarUhZcYJ1fGSbjm/e393O7+1Xv7e+danXzQqRw4J3O5FxrZlZ43PsPr/p7+braaLcZGfdeff2l8se2uvqgi0cXNR5jkwipImgDRxd5w4O5vl4GR2YZ9YW59qKCy8OLrIUV9pWExzvkklbwPHYdeWplGOVxtOFIxwdV+GYmolm5wN9o3As+AgeHymwAWfwVYpheiZ+xxIclZnpAjOleaoVwbJHOc7ht2Pe4Cbl2IXqxr/39peXqFKIFK1WZUs5NsqvpbB167sQQuCyv+fb6ise137/3NVx3+0b7cYkMF/IwNO+g6OkbTWLmcdDzqifI81RwMvBjcPxbpi0Fo5vv/hCvAyf8uMAQtHs7jYcB27kIt3bOS9yTgngFRwB/wCmpArCWWqYXwVk2DmuB0dAlK/gPzCI+FGWsIsFHJlBoAoMZxfiBwRHnRtSjE45MkUty4TzOTblg41SWJcrRz/6Ta9vZF2jfGpfVdfOpvNvev2+2AcTuWWrypGyBdp+3rYzYm2iDyn1WqUudS5rPe/WtLUT6J6/+769/XoXRdFqD5wx7fkMPh8iEHCNbmMmEHEGyatjXvoPzOeitOfamgsONS5ZMt01IPN1MGkFjkeffcaD0YivhSPlOJJybMMxCEDRaoHA8iCz1obGmNSwOlq9BMcfgAoSdksCb8GxOMqS6CIcwcOoVHrIOXyCY3puf9eAZzrDTGs+UzlSZmvlqKG10pb8SDf36FyKq+HpmzO19kzfbvvC6ILguPinCyo+dX8uwWrxtHuNFGT30VWUzXnqN8zPOK+lNppV51mytLffWf/K5wjOhJA+14GNEHiMJV7IY8NMJGTVsgwefxk95H/PZ7MLI+NzjunOcPy6mNQDxw/5yxBz5ainF8IcHgjLIMo8lZYz4Ych43nuqmTcDzOv4KjI5+hbfaNwBPwHY0QF1W2+LQ+Zz6pttVdtq6dj+7ta8ZyTz9Hwmc5tSmMTVFk1u2VWE89b19rleXbz6GXXv9WOXravws5xFBXtXshLF+2mXL3Gzj21L7pJ4M3idRVf3y2I+m72tqm7xn1rb3+uxF0qj4MjpM9RwdGYxAuQGEoC97iwCoyHeBkOzeeisOcm8c55Ph2Xx8n0DNun8lRwvHsmrYEjeDDCMhzFhShSLsVgwJfhSCWEVW01udB5AKsoz9EPNaNodQjFLCWBn+kH6lDL8oUu8tz4T57orQZsUSdwUo4tOPKL8tD3WaUcmfTLAoP83L5PMITi07LQqSp5CvI5aiofFJqRcmz7q+bXx+U+v9UClfWVMaIGL42rWfdoXp/7q/b26xVYv/7caOrNydv3s1VJ2HqGvltSNk2gZ96UuKUAG1PuS+0qw9a5OoKxF6XrJOw9sk/TIWlbzYWQHtcBCI6cxV5gEsMQUfEM9XPk0r4MR+zvCY7KMxe5DS78Y+wIx6+HSVvCEaJIJ9IKLiyPXUDGD8F4XtVXux9QnsMLAlMpR2yE488+/dR+9NFH5mPAgrGlaYDzH2QLjt4YUeAhIThyn42sYkPL4OvSDLMT8bsaJucFnxVap7rwZqBtdapdKg+sq96B6URJedPxu3MFzDlaXwB977up51cQsZxT3vu5v7X2pchhwKmL0aZqIvrqusfRNMnuhMl1xzVfe5+dvf3+9Sfl6HmgjD1PSFDqdyC0SWRgksrnyCU5RpjUr6J32N+JmT2feebC2uCCi5PZ25OT/IunT8tL51bXSeBHn62D4+0zqR+OT8GPX1cBGS3og0BaMZvDUbCMewjZJjiq8dik0VA9OISWL6CLHMZ/An0VOHo6G0iIEVPsEGADY3RgSjHILuz7xrpsollp7KxRjroOyEDBLrujNkWJ+16/6vtWPGFdHHf+vuf2qULGtqLVfZEXITCvmydItsZYtOHYPE8Kvu2DrPJLe2q225kJe/uL32ezXBRskYIzoandre+FOgQ3ieeLmDEazVoFZJiwr6Jj9reilOcz5NeD4x0zaXs4ckibVWk8VSpPxnnOOCggU+RM2MAKysM2gXHKMYROJzQgwej1cIT96CPspBwrOIYjrdShgB5aJn1TYpCe6g8seG4KzPMc3ba6EDTikyptjft9NxdP1x/VMxtmoWA7PspNx88lSc/79vaXdwrd9dQidxUyK+6HLYNqXZ+j8xW2Gx5veZ69/Y77o7VuTbQa2gNFXARZAAAgAElEQVSVD3osFJLHQqqEC0RCcmmNYdxz2+q/M6U9V9I7txYXXGD29gT5F0+xm3LswvGWmXR1OIbgLiBTgFEqD8GR8q79IDA6pWg1dKmNol7gaYQ1yvG6cKy21RUc7Q8teLaAI+Y+RwfHFeW46v2rnultg9Pjetr1Iruuguy+/1tqn6LVS3Bc/nc7BdiNJrd6dgpGYxJWFWH3fUu6sblhMc0u8UjWv5K9fcW0azzBBc0zE74XmBCSxx43Do7gxqN+joLxV9GR+ds7geMNM+lSOOI1xNExhL6gWupKOSqeSopReS5aDa5ds9sGjrB+gBYcI+pV6uCYmBOT5A/UYlt9FThiIIGRhjoUlg1NqQNVskFxwT6wvIZjwWfGIGU5eUHdcPgFHJt8tq5yaxjTV/nSd3yft35TJcze/rJyXF1/qm6qleMiksIZJUGsZhosw2wBRReEq/9sw7KC5OLRuFzIx7h6/r39Rji0159SecirSHmO5HPkkoUs4DGXKhGc02hWj8MwJvjLaHRzcLxLJq2F4y9G4IOn4Nt/kICSH22JCo7TFAaUfE1YiqBTXcGRPy+1OHikp7Nn5vVX75tdt9Vilg39IDwos+wBk2xgjfRtiUExYR9QErhRfEpDtoyCSwJ3qTwGpF87Psc+qm37/PqodOty2/ZEVzzuW28/p34hzeK04df2JbqLtRVkawJs7UVtXifwNedpgjzcUDCxWss5FAUoyrCkPPf2F57ZZv0dHLkWlOfIpPalL0IhTMK5GTCqrSafI+fUPPhleGj+zhbyTCU4t9nVttVfB5MuhyMgjgCR/XIsS49qJZlwmU2cCc4okh+Qd6fu3JHD2MAYpxxrOIZQBMkKjjD8+asbhKM3sDQvt8CgOLc/NATHkk9hMFOqTuUptHLKkeLVbXfJhimE81kvHZXSdvi3L8D5BVvb6Jsp07xnUwR2b18XbeW4oORCCa5zjCy+Yk2Bwrk6badSdTN1FopyOeFqcZxe/HRaSvS+26dAbFMhAwHfI5+jz2MONWABD8GMpPJBIfGVHJm/4YU914l3dm043iGTrgDHWNC/mbOc8wIuINM8yiy37CDQm+EI8/orXE05DsKDckzKsQXHsfihMSY3eZUEbhWfVQGZGo6uqGfdY1P0eZOPsNlwVJdlX57jqi9z3aXlnBMblOTV8iy/gfZzGhh/6WK0E+TXjFNovpm55lk6fqEYryjdqRxn8Zu6h/a1JI1Ub6t94TNuIh7xSFo1oNpqNLXVEl95I/PT24Xj7TDpUjjmb97I7zx8yJeVY/NBqtpqU+c58iCwBEcT0KCEULtt9YpyhBYH0NPZ1eDIT/MDHPADrtgRAyPlGFgtkvzU/J4lOBZmZhWbqUKkzPBMWZRGacPqbfWuCTLz47fs5ziv0e07vnMldtIZ56+uPH/P7IMh50Zw156/eXRLNNtr2WlSS1u+xfa79a13xx8053DvX4PJvf3e9Xf9HCnPkVoSSzg4sgCxpG21ROi68lAVjcArLyn/hht+Vkpzbqf6Qg7j6a7R6mZbfZdMWg/HD8HlixeCeZ6o4AhZeqAWRE41VsoRvCxy7hEcAxLQgS0tzdfKjJ7BCD9UBMeJazbbbKuvD8fygB/4OXvABRsYqwOlRaKm7IdGI0dmZtramclFisLm2sHReYXNUp5jb7/E6rfQVYDz6pqVTuA1xur/LOXQOR24/Pr8l7a3v0yiTgd2gmM7Wt0eoNVu5kHPd/9uTrzd830KcnXQVt95t7OzGAC2fPw3174CmGc1XVhS+PC5g6OJJeB8jpa6eLkZMnglDvBTv7AVHKEvJK/h+NefKPzZn63fDlnLPm4lgf/ia2DSdnAcQ5aUBM4hdJFKiCpaXTJUcKQ2UzQ/huBIPscsMzBWC23URFvNC60OByPNn18djuLlJJbFYFgelC04IlAaSTmxv0cBGTtFqoGpVTallHDNvcIpR1PBcdPc6L4t1qZO3bu+b9fz7Xr8/ELecT73rv+OTVvSXTuiz89HcCTl6CIhrWunfYdbdR4uPs669y3dkNbctPpe39tvrWvL02HALNOc0fRBAZ+DRTZBRHAUAUJTN7sVPl6JgfkpZva8DM2Zd1NwvAMmrcIR4L8AKUcI5kF85yF4Rh+EUnlSqpapU3mwDEdKnNF+HZDpg2MJLR5BT5/tvq0Wk0ksTwiOOOC5csrRWtpWI9EX9vc1eGZTk2rDp9agpRxFVT641oO17Ua7/n301vk1v5/r+jD7Ntr3zD7d6Ja68tT//naqVRv8nYYQ3dZmzbez8vyW55vTYcvj74V9IUDfkUvlIeUIFrGYRxxmwGjAlhuTQLXVeCUP8dcEx0Jk5743PJcc1bZ6W+X4NTFpIxyDh+BqDBkSHBmEzis4UnWMCQNGypEqZJSFlXM4VtFq2k5PNDSPoA7pv204vg/zEbavkHFwnA2GBStHgntHBnoomItWJ+XY/oFRJoeSU63MjLlotc0LjdJSpiWvaqvnj75odV+e44bodrsf4CY15V7f218fIGvWX4jMKipaXe5J1m1q2wojL5a924R2ft9azn/sCs/FYR2leklT23ttn4FZRwIhhdABIzgmPOLWDOCZkDPuuURVab4SB/hrVtqzwthz3/NbcITCn1FiwZpHe1vdgeNdMWknOKqMwBhVPsc856oelUD/NOUHlue5xTDQOrs9OOZ8dihZfFjBUfhW66Q8s39AqTzUlYfyHB0cC+QaKGn6oME+z3EraG990C3nWbpt9aJ8cFsltm507lJz2m6zXKbZvI9j698uOs/v7S83GXZL5YJeWliPZshQQIY5nyMXPKHaakZdeahVOFcVHK08K1Cc+/Zm4XibTNoJjuMslVEDR4ArilZT1AoBlI9VOAZQEwvNqaTl2soRMUWry0iPGjhyg8AAsToxf2jBMhg51aWhBPDUKJ7ZctGV57LrftuO3RYLx3r7fKyTKtQOIGzDm7395VQrSy3LmvLBJSG3XLbXLfNb7A7WjE1YW07YcmmKVgCtHZTb25//hJ1yb9bRNf3Q1GdBconAVcj4JuZMJrStpj6PxtCcGfOVPMRf3RYcb5NJO8IRMqqj1SVtDhm4Kap+jryGo/FhrA1cKo+4TThqfWAphUCLWJ2ZP6RUHqccNZ8ZZVwqj6W51YY298tJ4K09WIddV8szXOQR9imqvvNe10c596b1OCW7r3dR/b+pfYOcRnO0bzLtAVjd1aTj2q/TICj3L23RcylKTDe5+p++bfR7b39xA6NlVaAZMoIzajvBELhotW9icJ4wDgdH5qpozFdyhM8qOOLcj3B+nmEK53O8/rZ6nN0ekzbCkcszwcShIJ8jfRDaUjPqytPAsa6Q4RaWItbG5kZba7gJ1U3BMXv9OhAmij2KVkcYgakjDja0RgfQLFZT8Qc0mpVZuAFb1vAZbathqjzHeUeWDgu6GSS9qOlUytC2i45d2ZJt6vqzt79E5971nwdk2hi8bCu/TkOuO757XPsb7zt+7o28ZBNw/+xrIejuJQiCBEcqH7Q+YkgkDKQcjWSaatjEKx6bv/ICeVqUOFcRzstrwvGumLQzHE2RSUapPEHAnHJsygfzHC4gY2G0zYw1VvtBVN7EtroNx1mEkcfUkQUb0rYaGg6OoAtKV9MHrUIKS9tqKJfKw0XVsmz+uFwxreQ5zj3v1ftW372+QqbbAXxvvw80HS2odGFp+G/zaLc0a9+odh2H0D2e/m6+zHaQbN1xzWfZ23fBNE0NhSn2ICnvWQSSmcjQcC2CI22rWZXnCClfyaH6K0/K03xaXJSeOtc8nlxHOXbheFtM2gKOEDody1BymfJEGJFJxmh8xAKO1YCtOlrt4AhjaRBgEJW29jnG5tSExZFyqTyAeY3to9VtOE6j8tAz5shCDikzH6VJygv+hwwso8mDBEijbMoaOBrhZsi0mgNixUfY40ucX5udWS67+hS7kmNvv+Nj7Kw/DUdbm8rTO95gk3LrU4yblGP3m9tWeW76PNued9vjNtm7+X8/KUfyOXKqY5IskJKHijryMIIjj7ig2mrKhBRUPviXkPLUlMVFadW5fhhPaHbAF59cbVtNQL4LJm0NRy255A6OzpcgRJE7n+N8wFYQWJ7lNMrKwA80NXzIzEzxMFYUkHFwPDpSlJyxOxwRCIPYKzCcw1HIIbc6MFrEZsL+EMrkxvKp1XVXHoJjXnXloW7RbThuVnCborF9vrzr+vA25DmubOy63rdvh33Gl6PVc9F2SafvbufvdWMSui3Pescp9I1Z2NtfqHnXeV1wTpVz1oRSwm2rqTOPpX6OjIo/GbOSfSVj+xkLxMlNw/G2mbQVHM9SyPiAWhBBmLyGI80hK5rpgwFEAFdbLXvgmFNXniOo714HjgzDKS8PPcaqbbVFYDRiM2N/iFIXxrCpLTGD4k45qlIrUq7NDJk5W7p5hn35jc0bdj3+Eu+Ue2nX8+16/DfdPrlI1jS7XW1ye/k/tO/41aa3i4qZbglo28Le/nK02pLPkQIyIOVYwRHcDMARcsY85rbV9ises79kwpwaa89vSjneBZO2g6OAjCkJPE8l45FwytHBsVaO1Jgnr1qWERzJ58i9UGUGyuqJZhQWSQ40wXH0/LnB48d6t211pRx1mR/okI8cHLU5sFz4jOA4wX822uYGmLKSz6BpbnXlcyQFS+2r1hfIbFBavUHmLZXl+rKclnDd21/GW73gndpqNyq3cW10y/naqTbkCZuLeuG+8+VRMPR6O+qqmV45r0Pg4nnnYNvbX7P+zLoZMq49SCC5iWxoYs4xsMxGTHIBA8Yk+4of2L9UwpyKkuDon+uHuPa2+uwOmNQPR+pw/qZyuPZ+kNa22sHRr+GYrcLxTXKg37khODLGjgRFq6vyQQdHWJvTlpralbE5HLWiQQ2s1dtvrdboU2bbKrbmuE0KtE/o7O0vV8yQclzTsqxbIdPrAaR8vHZlS88YrXUevb6QET2/t99a1ybP0aXysIBxHfFAROBwXXmstV61Zva1TdhfWILjdZXjHTPpcjgCgp9VcAzymcdpLGuRSRGFzt/oKmRao1kJjuRz1MgMdKiYU47QrIR6k6CGIwweY0flWKXymGIw1AcYIVcPADOEpW67JjYT778AJjcQE1ASuOYpoyRwynOkrjxSmPVc2qQAN/n0ur7H+nxda3zbPMfLLlcnYXrw2vFVftPtW+RUodr+x3bL/ebwE1VOQDuPoMkSaI9Wbb+fOoZvajjcXei9/cWKuDxHEgJUW+1BcsECC0ScpldzJOBUW80ks4Zzzr6yQ/0XheCnYW7PrxWtJjjeIZOuBEdGFZU1HP2m2W0OUAJ4BUdKAccKHIfqtc7zY/14Rzg+B/zhBHF0gmF2gANf44GFHoIJ3xQ6xph9aKwpSDkygxnTMkVpclhbGkpHbw1fWvYhVX/1bW6b57sXUtOOvzs3eteuP33hl+7z982+ZCKjpk7d2upeD2OnBrv3fd3j2ve2tWmOy7Xde/stj1Cd52g8SObcWyZCaCLu84R8ji4gQ9tqbl7bBP9TC3sWwp4r65+XvEkC37JlWVNbfQkcb4NJl8JRnZzIgD/glXKERwEZKhdiLBfkbyTl6DHGmO/T1Ghqvm2tF9CGxhiTUuGqYmHsIPlGQ18Lji8ncczkIAvCAz7JjljoJZYy8zUic87+iMHkukDKwGdG85RrU1hjnc9RrHQCv16e4+pFcrd5jt92+7C6k8rTo7wvHbna1Xo0KKYzopVmyKxrArLtKNd7bJ82hNTT1WWvcONLKUIteMSsSiB5AGGqxhMMr3GAP9elPefSOxcWF/n5yQw4yb94+nS70awtON4lk24MjgUFYfNNcISmzma7KEd8BvHIgy/fGYdBPEz86XRk/eCASQxgZKUcZ+yPmeWFtSplOU9hkUGjsIY7OHLSsvSoN2o75xl2a6c35EXO4bWyva1e2du/PM/RWJG5MQn0fdEazgHWqm1vr21zXLPw6/5uf4fz6ZBL+4iF37P9+t7+2vWnyTquZRkgmSh9CBFQwwl4PLKeCZnlkhvDrM9fsQH/cyXL87AwFzwOxnqAGZ6h+Px9KDC23uW1risPIHaB43WZtAJHPHsmXscxHz55wvs/SBWtVgUpRzD4BfICLuHpcuW4MxwZPoX47vCFL4/jIExGcWgxyFh5wC2LGYNnlI5x4f1XKhUEjWTVyDV1BTc0lpUrxlzji57HJp9j70aq88Km/MSr+hzvp/0qCbw7mpXWolrH9fmJi+/Suu1cA+DF85yBmSUXS/t7WaM0V5wue/vN+rt7BkBkk9xjVA0TcJ86gJuIWe4zAWFgaLL1K3PI/4dXFhME/lin4+n5e8P01TOU2BKOXxeTNsARkk/OxfRoJGhbbXkqeSuVx22rXUCmQFqA0TBAa3LN/KBKvia/Y1j5Hqtt9RXgCPAnX37pyYMnvtKIAx8R8mJoLIu4z6QpEbMTfAQ4OObQnMBYcPBSWU05jtR6Yvmxa3R526j1tizb269UWk903zBkTFVTJhajQFujVesSvnXTILujW+d+41bZX/d9C0QuR7n39vvXn8Ix3GjuejqC2mLDhwcfgJtZbQW1cgez3L6SB/j/DDNTw4JpNsVMech/9R5I2NFtbKNyXIbj9kxygs33jc5yY/1A78qkNXCEeB2D+9ErIbxHguB44QsJOZARTyVKJkUYclbmwgQB/cuYKSYMbl18FPRv9nzla+QER2OmWoZJeSU4knD/b+AffACBY/g6RKBKRMbksTU0CtIn32dsT9T/yRSUIUobXjBSkYxTLx5X670CxznENkV/u7TbVWn2KcbmvHv7a+8nrkKmFa3uJizO37SczFMlaS+68VSvLtZ4TSpOK++xdRw1cG5vw/f2lxNG3Y3NjUdhbmvtUTMa5oHDN8L4tKOzgnOa/22ZfWmH+v8tmUkFUzM7LXPDj/Ivn7iRZpqKaNb+Blrbajy7GpNIrDk4UjmzxRyO2zLpSnCkyBCpRkGxqCaVBz5sWbDS862gqHWWG78Mciun+dXhSHsoV/kn/gSQL748C0R06Fs/DZnivmQQXAeefVt+ZC2LLXjJFZRlUFUHcG6M0usTwLdReZ2aapcMvO6xSCRe//o2ti4775yl98Q+R2ZNvYdufQeCRqC21qk3z5EgKVpzqzvvW1rq1ne3dpO9t7+Y/91dx3pUAgVqmTVS0SRCDs81naBgDRHU2Ff8Hf3fmTS59OKMZa8K/fZR+fn77q5FyvFG4LiOSQRHTunPBEcfGiZQuwi2HeEIibrxBPkbF3D0XT9HPS04wZFTLMTztaJSQgslJGazEsXO22rn4LD0GfnTLyDjIeRFAE+8nfgiEJ6JI2aztBrwdR5939PmfWU4Z7o01gpjuDWi025s6cJYmQLYJVRH+a1MH6yO53UljOl53aWWrHvs7S+vSrNMivIcqTneYt0uS+peVYQt32Dtwmi/n/aBzfa7qyz7Bnrt7S8pa0e2um0Zp5xUy7SwjLl2hlRBR3kAFBgt/PyvcBj9+yBAUZRQ+eTL8ssnT0g19m+p6+u+mT54uXK8nEkUJF6FoxsbvXE3ewkcIYQHwQXEBZUIUQoP9XMUkLxO5ang6NdqqXABmTKgwdVgVM2nssAQIEvjKmYKGqzDZyi3jlY3cPwEHD8CewqI+G//Vk5+7dek4pzHk5GLPwt7YafKGP+tkFpGvyc0/y1wa42uGk5sm0/YXKnb5hluu8ne269WdlM+abP+jHyOdjGhZRvh3c4FbfJN6X19z29zzl2OuW/2K0chRazdbsal9TBm6IZG6T2WG/4zmUz/wXq6pGszmR2qafyleufJE/1ZlYPQrxp74Xg1JjVwNNZqTKxifkRjo3eH47NnEMfO53jZB2lqqwsHR8sKEsdWW9/VVpOENchZlgcgOEqTmbMwdE0pihTp97+HSQro408+sZ88e2bx8cc9FSz1z7NSj+wjgD//AiILn/MHnsfx6FF1wCvgzfMXNv7wPT367DNzzn9wyFj0Rwx4r/oKN1W6LONr9SLeLhq92geyi9vm78sxcd/tg6LVrRkyS8p7pba6tVpLo1vbz7e+h/b7XY3HalTb+dPaUe3e83aSxO+ZfZp37G5EHC4qAyM44+p5LvKfDn+YUP30yrX52YcfVmB0d66eLXUHjjfGJJvN4YhyrM6+N1TD18tB4jaTVpTjbh8E3ARgtqjh6NdwJOdn7QCl2dazLGN5DcdsBusdQasU09//fz6ZbQXHarGacjIHyg9BQ2Oqmdl4BnxO2Y3jTy0++qhZePODv7Hf5xp/bK0euuOumOdYf5X9QmJ9P7TmJ7B4395+dU1syBtlVmTz2uruCNZmNfuen3/PrVzKzujWtVHyXe3s7dMO0T2s0dxwnApW/MXP/iB6tc21uVGVtwIyxKSDA4gggKDxfut3s4tmOJcxyVXu0eCUXeD4o08+4a+Pj9nrdz/ifcrRnKUeo76OdVce6gauy6JKhLewCrCe52sXGaJWYfUHSS3sxINvMrDSh46JUzGsuYA6zb4cf/n972cbF6u+m9THMXzyCcOPflT9+QmAH8HiJz8Bfvxju3RH+m9WvP/b+H1j8QcAXDH84rHtxnjTp9ukLJv3b1Kwm+z0vf7tsn95s9tmDS4LzawP1VD01JAnbP7oD+msr2O/LC9yc6joW2nfitwY/PXP/m/8DD92a7v9tXnZz91aRkx6hg/E6Z++Lx9ysAc0HLsDx6syCSXU2fewnXKkD/Kvp6c8+9P/i3XheJpNPDdqsWCyDUcq33dJ4A6OvlUoluCYUpNbR+nqg4hfQp4HCOZwfAs2iygXCdn7Bzj/hPXMsF1dRAbbCXLVn6JvvX//b2ySW/wRs3gKZm42qnxVpu3ft3YFGOMUrSYn/zxw4gQh08ysCbD1+Rjp+GYXveQTbI9HcJ1jFh+jff69/cvWX1vOxT8yib/+/ANGOYvNY+drc+2PwFr+5Ev40y9fS7wLvPfOsW3D8aaYtNW2eis4CiZZuVCOCzj6tXKsotQyy6kbuHJwDKFgoM6GFaXHxzD+BcJCIpi8BUMEhDQgnJJKLzD56ROcX+qLuCZQfvj/20c6xp9YQ0ve5+qs97/d7bK53DW68tF45wQrb9/bX09Hm1u7mFu9NEbwku9/nudYH7OS5+jyIFtRVwOml5Rk9cbVprZ9CnP5w9wX+wzil6HF//zpf2Zn17wc17/9c+uSpo/xGvgKuBSON8Ck/Bj68IsvTPr0qT7+BPaTZ/+hgD9uFFQtYbvK0UxPZfDOEZ9TWsSSlXm9rQ64ZgX3WBWtpuRvQUnXLoUnN7ABtStbgWPrg7BfvcCAefAJjKN6WBdVRs88nH7+Lqscurf0+J2f2t9m0H9swUjIrn9w3ukz2KM4m+PMDSvSe2pfMJuppnywdf9wTWi7zWrb/sv6XiTMdse5L71z/uaHoOdVTIufxr23b/UEnvjzZz9kP7+Ny/LDv7Tev40QnVRAMcf0369egz8w9nd//5H2X0HcMpP64Aj+r6fg2Z9ivq1efBB4VqaeKx2kId5F5fykOBVtq01RMOXDCusb42Ge37gBju6D/I8/gX94hAPk8AMG2vBUEw01yosLvPny+xR3uZ0HfRmpV/4XC/571rKq0UHrsfiz+l+U1Nq9oOjvRiDOr7OOIOQdBbk4rnvg3n61AjbnLlq9UGyXexg7irBZxlaLsqX397UuW/mZ7e2T79UCpRHib/7ph/j73nK/61yi1ooHXyCJC8hJAXM2cC0P7aMcZvhLqOA3YBtX310waY1y3AGOVJlSFoLSeEg9UsUgJYETHEk1Gi/QJs201VYNDiOqea621YDOsUbC/hj2v77B4JzjUHIIz2XXg2lqbBFjnCR48yljlDh6K4+n/2wPZI4/scp8nwxsCptcN29xfu3W/6MvsWeuYjr/6m+7fcltRo0n+nyJ3R9Bu6mtQ2tPM9vLnm/OuU2+4n2xTwnxltsv4kL+5Wf/B5vd+MVnLfvBP2FwLhByA8sV/hd77x5kyXWfh33n0d33zp3XPmYXCwyIxWJJALvAguCQkvhekmU5elSUWALtOCUlVspSHMd/RFFsx1ZCsiKlHDlWuZKSrKKdKkVRKQ5hR9Yzia0SlyBF8LUCAWIXWGKwWAADLBazr3ne249zTvCd7r7T986dncfO3Z27mFscLmZud5/uPqe//j2+3/ezBEc5DHsViJ84iuz8FzdosG03JnW61b3BUYVKLQSj2ulcz9FbjsWJeCuP2SkPjqETLnEmjq1rjGTWtQz1FIejXuAI2zxKnuOKf88b/4Rz6vwC9iRNjIZRYUUmkCKC08DV0yO40s945Pu+6+5RynxMQOzpbcOtEyNcL4bZPugaWmbr7v8uGZ8tL6oxx6pF3yFVpihesTJV3VJl3U8zFdk7tq/EEtc7bnms9ba7UVh6gMaX1rwdG/WN6Q+I2W0HRQB3v+mGshZGXNOrINjlGqzIYOsZ4ksn0OQ77oknby8mtXmOvU8EWoXzHeDo0tiDJJMxug2OefngeuBYu3zZ2v37s/Hp3uBYTsJR56JGE/vFIoYoeuRdd45lkWmFS6f3irl+TFju0Tnx8As4Lhw+5Kyt+b+thWVbPAmBzlimo7TTjT7vsvGFzLPVuTgt+YoFAN5QnHYdXuMqCk+XKtBa37/LxndCLSuBb585Lqa3uLxvuNvRl1w0l2BPGELHBlYYWBXCNJvIjiZYPP1BkZbP4e3GpBuDYwi9tATffrG0HFeDY+gtR0ZQVQBrYufjji6gCnen5bhRcCzv7kedG2m9jQOoI7BpHuN0gAgyNKMYbzx9r+Abpi8fTmKYZD9grDxO6aUbD1KaNutls1elv7fp3O+s8QXVAkrLsafMYo/scWdQsWe/HQmFjvr3XrTFG8VU2t/deeNTzgtCfe/cZXwXn+pDCOvLTh/ci71yBHUswxEYZQQrUxgdY+HNbrfdJ9JDFyYAACAASURBVIl7WI63EJNWg+PPQUzQS74EdSWEbi1BjfUEx6htOVKNRwSMObKHjKNMmHFBRBXubDjyOos+5rhZcCzfIFML2OcSTGRs0wAIb7GmkFrjysgevNnPeOTxM24vHD5qYe/dJiTbPcw6d8DzHB18zFG0LTrmy4ywfgmUSNhL0GMFJXMx1h6it54MvmJp8rgrXvPK398t4yuXvZoG+hvnHhIL2744nROTM9iTNjFO4S5K9QjLniawI8tYuvD7mCdtZtW4VXC8TZi0JXAkSCmRg2O7QibIa6s9ncfFbXCsmyUqLWYLh0bS2mVYux/Z7DTsZI+Y440mZsq5QF7FXVZg3LvYIEnYRyBdluLimQlc6mc88sEX3f3KmI86IUbXLScsL6Sb59h9gd28yVVliGtYmusZqAM/voxZklZexkbrWLq3W//3ziz3ynirs9+9aqnWP35nnc3q7W/7+FezBE+f+4B4c9tBEcD+F92IkpgIFFRCUHTUqYC1GZpvP4KrEIUL3WvwTYJjPzBpfXBUUGPNwq0egmotIFAyz1aTzkOAos5tKTyxChyjpQzzNrteN1kjGzdbBcfy/p14yzXEEO5BCw0dQtCC9GLsCnEm8Nr3xsW1fkx0YcXKh1/A+6XAFIwlUdV/bBfPcduc5y6eI3ty9Lq2O258xhy9nAG94wppWwhh3EppVG+yNlvU2c7tuvpY590JS6JQpxhueX/bf70DxxdSxdLhO2eO4YV+GBSHX3G1Vgt3CYW60LCpg61Z2CwGu4FeufSYWFr3Gb0RON4iTFobHAF15Rp0iycioV2MoKVaWoqaVimUFIkyKWQQdZYPahv6umoXwLvVoV02Kh1Kr9evbws4ljf1B+bdvizDPc4gJDjyYaKqPkLM1a7jlX7GI6fedEPNa9mHnZMPeUWSrplenT/p3KLNlyz2WytiuCbPsmu8O298F0snOi5rM5XUbWeblvtmq5rWeGrvhPGtcywtfyF+TX9n+kdFvC5AbXYD59Q90ziUZdhDUBTMNBIcLUwU4+rMMVzbMBj3AsdbjElbAkdWyWgh2iRwtkdIHbUTE6eDHBxNwXOshS6rgmMrvWjmlg6ZzbrVPefJOfmDTdwdL+MQ3ezCkpUuo54kLu4/gFf7GY88Me0OmBQfh7VeGq2Nkltl6qyxGK3rzG7LsrJpo+Osl69ZS1WotIxv8fgGLlZ8inyjrK4qpfY9Wrn4fLsVQYnO/WzRwZD8x87tykOt2r744k4a3wr3hnRLT585PuYLULb348RdL2G/NjiUCIhQw2a5G23VMuZnHvMhr83xlDcJjv3ApE2Do0hFQJ7jCjgW5YNJka0OQqPY0IY9o43L+gqOxQzTjB8dxn1KYi8tSCZtKL7pFDKX4NVn9+HNDb+xtrBqHnzRPaiAjwhnG713X9+2Kxz0NUbfKLqtx4MsD79RVC23v9XjM+Zouw3n1bfI0whWwNOtV77ZzYP0MeEeVU/dFueaPMudP76Qbt5APf3iw+LCFpb2urscedmNLTncK4HIW4p0nzVsaLFsGrj45t1bJI9vAhz7hUltcMSTkFMsHywyQ5id1Qt6QnW61WBtdQGOrK3OY45ez7FdIZNYY50JwxwcF209G0qRmjqyRgazrZZj19RNXXVjmcARODQ8OGZgdzThDJYbAV56ekz04a2Zn8RJ5/SlF/BBSPu4cNA3WlXtB7p46NZ9qNddopvbYKePL4CYL7jcFO9gXfcgnZYme2U7z4esSJN1/74qEMJj9HqxDPD4yiUw9pmzZ/7Nc/jsZ7dLm6+90A5/2dWSQ7hPSoxT0Fqo3FJkkztdw8WZe2/yWaPA9W3GpDXBcXZ2VtfWBMdI+Uy1p9QUeo5d4GjZntUgMxaZiZBSuiwHR5i5JeRuNeCexDs6jGu1Z9zcM59v7ZyYWsZdpoX7YfN4JDSENJCQmK2P49zToq/8yNEgNR8TQjzQPv2Nyi2WO2x6+y7LbqP9CNa6v7d7fJJmCym8jt4KvZg75TX05EN2XqCHurVYQOv9nYcahPElnBD2pdqo/sbprVptN3ruvuTUXY/iXqVzlf0SGCVbMQNvv/EMLuKzG5YeXHukHuB4qzGpJziOzsyo+ShSvcERheVYAUdmq9lrPSadJ7FWB9l64Dg2d9oemZqy2w6Oxe2mJXd93gPkPV7KJXez/fW6FK8+9zxe7gvZtRj/sXPunsyaTzoh9m8F49/V+zjEHhy73NuiiXyPbnW9/V4KfqzkY1YsQ74lO+zR9ruFXmHF4hyw8aXAJanw588dFRT62vbPgfPuYCBwv7X0IEGpFm8tOoVrgcRr2yoS0wWOtwOTOsHxCGRrCmIjJ2KygsrjM8RhAY5JAY7DmQ1xQ8ux3+BYrgxP/YnwPmGx35EbWfTa1RKJNjj37X3i9W1fReUBnROPvohHrMQPOa9cuVGCYnmA9WKV6535YO6vIOOsEnOs8gOrCRpSm9o0JubDesQcy+8ZuiiPUx6jun2v7aqGfGlY7sTxhcRylsXfPPdQ7dx6K2Ir3+99yY1GEu9zDiPsA2WYbFG+s+iybuLCayf6QJ8rwfE2YtIKOAJyCpDsy5KD46Sqaail5QU9FkgtVUO3GtAiyS1HQ55jCuk8LubgmMaJU95y3DngWC6GxxfchHR4ME0x7Nt++uoJHzOdsxLPn+ljPJKliHVkP2ScPEGAXg8jy3b2FMOuLma5Rg12uV0Zuyz37+Vx+r+tg9E7YPzY9HCrFU/MdAgwdnZSLS6YcXBbaZBV3c+DXIGSq0jZ/sLz46/wHFdmYKeN7ySMg3y2Po+/aNckbwX91tiH6zYWeK8RuMt7hhKGnfykQSpqeG1mso+JzqIl8+3EpM2D4wKCjD1kZCc4Ikl8/GGngqOff+fEiTkcFgbvZTySbjYFDnzztAAz9Xk8309+JEsRZYRPOGvv29waXi9b3Hm01SHH7bIgN2b53vz4MvaUvBt8qhYcXwo9LchKPqXc3r9AuvMsm5sMv/XtHh9Kno8dvj79XjG/hdO/8S6fd/I9fwNsLn3EGUifhS4TLg4X9zTxSldrhG0/hbJf/YbAsU+Y1AmOp6tudQ/LUUEnKQJFcMwS5cVuc+I1Ugp6r2M5NjOY4SIhc6vc6l6zxjfi6D48aID3sAE5F4BvQ075OoFzz+zFOWy8n82mF8aJF939RppPQojxTe/8Lthh7Wz1WhffhXarstPlfmuh4mb/3n0et3B8667qIfXVZ+8Vb/RjKfi4osQxYVA39HEIjIwralyLE7x0tR9g3OtCSsvxNmLSDRIyOTiSyqMktIgRyB7g6CkXPiGTg6MOYEjl6ZWQWQWO56dsqbrbj4le75ie+gM8CosJgiOtSM8fCbCsMzx3em9/5OALK1Y+9DIe1wI/4IDI/229Wus1pcsKI2utapD1DMe2lPmNlcnXlm7b9vGpEFqZvmrZZDXUwL93/94GwpWQRBmL9IdcY/tuxtBGjuvDHLdmfAHXElJ963tHvBp3j6TUeqv9xt+zDjrUeBQS+72lyPiChM2AZtTE9189Ji7e3Aib3LtnQubWYtKaVJ6rgAqK8sGWhFYxAqWgZRp7y9GKSDLmaMWSZMdT2QitTOBMACNbse0AxxTpUB1ZDo7bWCGzyfu91uaPXXb3WIkTwqFRkOvY8Etah8tuGafP3Cxn6wbnefd33NDe0eyjTsjjvq3lrfhstDdNv85lvfElYtD62+qnOza5HX70Zs5le8d30snnmwLfnH5vX0r+gntewTFhccQqMFKbl/1JX/57/o0jeLmfXtSat7UHledWY9ImwbGlVVFb7RMyjN6Ehf5CArA1q9Ihg7ZG2ZaxxmUmdZkJh9Kh+vWsmY3vSHD0E/Qlpx7/DB60Dg9BICA4Mhbpq20cXh7bi2dOif71s2EpooX5lBPi7s08h3fktpbioD1CjoUF6J3YKsD6OOKKBdedxW7bkl2xSVSz2xvYv9z+Vo3vDGZEDV/ty8vZOXHv6zgCg0esQyCY7fOSg1TVwkVZx5ktV7dsx6LcMDj2D5NWg+PHIJaGIEfrUEF4TbeWlGoFo1ppBFo2qcYTKFnzlqMViXRJXj5I3q4MEivjwNpGlGVNmJB0nghpZpE1RpAtXr5s9+7fn81OT9vJo0fNqSfhULRB3I77uR3HoKiEa+BEZnA/M8vk1nmOpEMmgOee24Oz20pa7zrpE+fdgwbmE3BipP3Vekrg633ffWO2e/vtPp4oLMeuUF7OW1ydFPJ0xPIaK1/7xmbF9t28xuphyqgCa6ldB8+xM7N/68Z388Jlf/78e2svb8ea7j7GwWl3INCYsg5jBERepY8rAnPG4rm33tuf1gibupYqON4mTKomZMTJU5CzByBLcKwHUMsKarm1GGg1rANKlSnoNIm1zhLlwsj3m/ZUHmq10XJka9ZWbE0YZcYgCw0yV0NaG4VpzcKMxjDzk746xp568kmHs2cdPv/5jaVBN3V3b27jqXm3P03xQSGwv5DPEtZCCWDBCHzzbD/jkV92+tH78SGX2Q+xG8XKc995m9bKYd8wzdvjtqyNbZ1H2rya0MbmYNXkcyFV3GrPuyosu+o5CIJZpUyQv3ePuPK9hLBWuIqFKBhaKwbvPk53CPJWjO8sUinM6edPB89sS5VJ1804+JZrhMuYcsB76D7bwlp0QEtpnHn9XpzvRzxzY6uga6s8IXNbMakDHJ8AxNmzUDk4XlLLwUFVX4Rqhos60MNaJU2dKqG1FEqLqCRUt2urReycGY6McjCZhSE4BnbJuFojrRmYVtYFjvkLn+WD2x5g3tKE9NjpkevuAWHwAV+vXSRtaFEqgTeNxNf7qR/54KwbCZbwCQc8yFPjw93rujpoKtt14ZyYrtjgrRp/JVu9xYuh0nfFAlxPc3iLo6y922bH51Mg5YtyCF9/7q4NaB1u9oS/7PTd9+NRKXCcYSLBbqs5OJpA4KVXl/A8jgvf7GTHfApwvJ2YtAoczwNyDpBjF6EWA6i6hlpuLuhAS53KhlKqRbkylS1AuRpEXjnI/4tc4mKnXGRT17KBcZkbq6chgZIW5JVrNm3syeYPwjTOwk4cgz01AODIa2Mp4tU5nIDDI7AIfGY7J3MLAZxd3oNvTYs+BMuLlfrY6+4ek+LTkPaA/9N6bux63/dwQf2f1jQ5u2zU9Y6/3vfrjc+YI0+mlGbj9l2yaR03gd5LhfTdTuZUWd5tC7M4bknGrL4AOF51nFsxvnNvOa2eOnO/eKsfwPSeV90RZ/EDEBgqAdG70AJvRSP4zvl+Nqu7mQuqgOPtwqQOcCTGkXRJcGQfmavnoOvRdZXuHZeihSBJmpp9pY0SKhBCEhxtHAmXxLkqTwibIrJymQKXTVMbr6dRYUEuWtihmUtmfvSgaSzDTrwNe+rkzrccq/NLSy4U+EEI3M/a3yJhw8cusQLfen4Pvtc3K5iliDN4xBr7cWExtKl1tzkO+aYOvaGNNzu+T8hs6MhrbLQNLO+bGX4j2XEhqYb99ecPixduaqg1dr77TbdfZfiIczjoM9CFC20dFozBdy4+0Eea2nZcUAGOtxOTVoPjaci5MchWDXLvJOTieejGPkitoFtXlnWqhQqkUFay9E6IkBIBUWE5Rv69a5Ut1H9ryBIH08iQLRpYT+M5dMiMAXbkFNyggWM554/PurtNgI9012vD4VoEPNVPfuRx50JxIfuIgH7cCVtAyGbRZztWb/UY2zy+kEmHZViNJXZLkVUTKJ1UqJVQTeFX51lsQkV+7oWQRfFLd7a7S/KsvNybHN8JFpLJZ6LL+HY/Sv4mX3d1AD8oHB5iHsBL/bLkTyAxBs+98R0834945navqKJCxscdp24TJq2A4xcgcAzi5BNgqoqvNTl66ZJaXgjU8P69UjWhY7Wk6FobCRmWWo6tlkCNq7Lm2IpbuKZLHGwQORMYa65ccyY6OJLV98DMzcDUJmHHTsMemUKuyLPDY45rTrpz4rGrOMaFaAXqnvpD2qz0LvcrCvjKd/eI69u+aIoDPvqq22Od+bSAOLLpMTbq9m76wBvcYb3xXd7sd9VnDYNwlTZtd3eEGxXAlINsJCV4k+M75843nXrq/AN96LvunLzvVTzmNPutIyAkWuFlxLgqX0qv4tsb6t2ywSns+2a0HLcFk1qM/9kkatrAWhMaZ2Yza2qTo1k0CzsXr41Jq8FxAmLhJDh7cuziRbU4H6jhA0q2lvaoWENlaklFQsgoFtLW68K2mgL1OtBsQtbqTgIutsuWxbHaNExSR6btNVvP9hieiJ6G2zcCM7IwuJZjdWGwFHFon69yOeEEtKf+cDkS9CX+wo7j6TOif8HuExfc/VaZT8OIvest2HULZYoDbAQn1htrLWyr/n1NjBRIO6TDip1kaUHm1J22Zci/e4uwsl319xWjrytR07XfuvtveXx3FVqdev6e/ihAHb7oDtsEnwQwTktR5Dl46yzeDur42isHxaWtzNdt3acKjjeBSbpW910PE7dsk9qQCRxMy8BEGUxkYOebMDqDG5tbbbBV3WreC8HsUBkAnQQo56uWr0Ili1BDCjLVi8pIIaOWkE4MCeIiP0vXmkKN160cgmsuwdG1DoZgli2svgIbpJft0oP7sxpyy/H0VGE1esuR/71zM9YbWSSPXnd74PAJgZwf6UsRc4mDZRfiqecbfY1HykdeTz8Apz4iJaI26GxQ/5mdyfhpC8Fu5IIr25T7rzLCtji+E0h5LJ9PqSDoKlGeCtq3h+ravjynVcepnH81vLmqkdZNjC+UbGmTfuO7h4Nn+xGLfs+rbo+Q+JR1uL/kKnpwdGDZ2tOv9imeucnlsbXN85jjTWFSswmoGqysw7W8KA4scyDNMRhajbXsomWYLwLcxCmfA8k92cKbXaGGVLNDRbF3DAhmrVsaMp6ArM9BxZeYkIGsj0CgwaMs5cdYbsCnCWaJBnBBDWbZwOph2HkCZQqjDsINASY6C3emedphYcHh5Mly+XXSeXYwvedGs33iurvfOZx0FvuY1Ra5npiEwCVY/Lvn+6gfyXjTuMs+DitPbKQUcaOguNHtNvsUrHVcKWRqKin5DvDaIFi1QbELBNcSDN8weG5gfGspYGK/N+/017dVALa4FsadF9/AR63FVNE0LLcUHTIJPPPaIr6146g5m10c3P4mMUmg4TFFLsItL8BFNZhmAyYwsNcNbP0gjAZcOwcyW/CuP/c5Ty9cBY6eeAmI2bOQ8TGwZZhoXrqkxtVBmSrI0T0Q6TxkuuT7RQsnFotjDEM04LAI6AbswjyghmHltetucXjcqP1g9sDJGbhaC3b6aJGpXnGPSnBcAckBBUg4Jx+Z89zIjwiHehGHpPQTw2Nnl8bxp9OiD1JTxQJkKSJCfBrC3nszFmH3eu62ENuWYpeFKAotxrIj4GYtUimQVsGqpBit0l+s6i52dTHoBrs1LcgNWJqbGt+511ux+sr3HxSXt4IHN9zHOXH/GzhhHMjzoCnSJnIDeFlcx1f6Ijy77Rey3gGd9yVLy3GrmCQaw0wQ+1BfYGEXHJy2V21kjJ2LJ3z+g1Zj7TRcRw7E26vd4PiFLwh87nPwrnXFelw+fVHtnzok4suQBMbRvRBmHsIuQmAUMGJBKDeSo/QI3NwYgNeozAzHn/kUlsTTYI8XynQzGRz4swKQHNPv307SVO/fgIIkSxGzBj5uHd7vKC2fg4ZwOc/s67VxfO20EN6F7MeHpYhO2ZNOcpYqnw26u6voNGvsJ4s6aEpE9/x003LWGZ/guMry67bYui3C7pKWbrDs2n7V8df7fp3xrXPzTqmnztwrpvsxl3e/4e4NLP4yHA6RvO2J3Ln68WUY/Nmrh8Ur/Rj31h2zAxBXhr1JTCL+qFG4+XE4eRWOcUZ1EW5+tIg1HoUdAdyp0p0ujbUelqPHzBKpFwAxNw2ZaYh9EWTrGmR2AMKwEotqy3PVcq2VxKwcc066Pe4qA5ZjsHICDgwJX7qESycOWlwo3gsZ3PGjvr4atWNwOA0wUTNxsmi8xbP5wjvm9ed8XNLjyq2brO0b6cSCO2BT/LAQOOw1s+hqSwghsACLf/v8XvHc9o3WdaSiFFEI+4MUGKh+uxaoredGr/f9Rq9lzfELy7GqPbFe/6w13eW1QG8DFuNGxncOqVXm22cmg9P9UK85+pIbTer4YV+AIGEdQTHPQC/D4muv3wuO268c2kancuvbrcQWK4BYwZXPeYtJ0HqiR7tZTCIW4RoQjO6x2sFdy3IDzVuNZ+FqzdPu9NRUXqnXxpocZ7rdaoKRAE+o4l6TsLJ0IQdJOwmx5+yszJQQ2LcfRl71x1B2r8MVQO/l5M3ibUx4y5FxRlAJ7s382iV/5+d1QB/K/5vZooggyc9ZgNUzOAW0A6TlSbfPeDBB8pHL7mEo/CVY7CU4ehI5rUmLGVXDHz471B8BU962B190I7W6+aRz4uHNPknrWYZrxg7b6NI54nputnDIqtnmjSZMOtzftcCvCyw3DarF/mSySZudM8vXvnbm+IHFraPDGnt+2enDD+FjNsMnvSAzV4llZ0FkyPDdNMSXb6tqzk1fcJeluII7nUcmMJafAiAZ8tscJs06Za27bA+68BAsGTNRQmCE86yZWTg80U7GeJe6Exz5WyVDhCefFHjiiTZas7cMEzSMQfLHXqQFeUkcxMH2uV8ugZAgmL/h8k8BhOwqPql5sTPFF5P+36OTxbYXgJnDcJgGxuhyF5bkKpAcYCsSX3b6xBQ+bDN8QjjUfEfEwpKUwF8kKf7fcxN8Qfbn8/hr7u7Umc/AibvaI2y2FWv3qW3z/gTHMl655URJNwiuAZblZhuOUfqnRr5l7fJXXjjc6IsA7L2vuUeEwI9BYIw8xSIDzfjZBdTw/1w40J9Sw/6suO6j3gAUCwuxvceTPc6oYkFuBpOIRzTCvCFWBcYyQ/2FLwBMxPj5vTE45sDZZc62znqiODxIXoB3ErOZGQFMQlcAjidQXhYtwngaK4GYo8DhCxcEDh9GNgOBScBnDcrPDHCxOFYHwk/1jgvcmgnd/lFYihgF+GELPF662kzcCCB1wJ+dGcNTEHwP9efz6MvuUShLUYt2KeJW3eyNnuFKQifn4HTHKMvxXWZXwLEL5Npg1g1+W9xurcRPr3GklEvW4s/P3CfObvSaN7Pd4bfdXTbDTwiHB1xR2cLGVrC4ZgT+v5l7xfc2c7ydtW0FFEsrsbQKJyBoha36nKKwARwTEd6yo8FG/7oKkJvAJGJRjfdzLaOrAow5AHZ/qtbjyndlGY/AFFCCJL+Op6cFcBRtt5h/LGKIp/MTyceY8n8XeBUC7wUO04I8DHYGF8lFiJRkF34KumowAXeJ1ufrQG0Ctor2lZjkwNN/Hrni7oXAjzvgPsnqGlqRwjc1YrziD763t38PxPEzLpQj+CHAUppNrefurvWwbTfPsXSre/Ic1wPBDcYSN+pOEzzZdc9m9pn6Ef3NfiTQ7n7TDQXAj8Dhw7w8D4w5XzFxwFdeewtP4YP9S9z1D0R7JFmehCS4+c8piClSAokN1c9pEL+ABTAvn4MjdV/zcF/52TomEXRXXOk18xo3AscqePrteE2zp3KUZ2CUf/NAWXyqSRVe+amTJ3Pwyvdx/t/vQ+BjOUgefhjikIZIVAGOBwEzu3I8VSRyghm4kX2w9cNwLxUuNzNME6gkbipZpv5Ndv+O/Ng193gG/JhwGPPUH+dzxVQhn84i/OsXGv3r4fH+V9x4pvEpGHu01xVuVwKm+9hrHZcS/R2tVSs7bpQUXu6yitS9FriukY1Wwp2XRj313fv7UArqnLz/Ij5mCIwWdYpDFJXfrMV5VtTxxxf6WILav9Xcw0okXhTYQYNpqjCy4sJY8ufyEhDdl8cC+evp1eDIv7fJ4VvGpNJdpzV6g3xGD33AVWi/sk3hZpfAv9bNrYQKcnDkCZx5xyX/0soeZcvFiQuQsYZYugqJEzk4jpc9i4vNrztfceOCg3Ah4C4Crk3evINAkpYc7iI/ESfZsazoZ5MXxkn8uWzhj/qi91fc58ffdPelifkMIPbdCCS7v+u2OG+W5yikzKyhMHXxKSphbiXP0UJeiTS+cvqe/qjX3P+Ge9AK/BSpORUlbkL0Gy7A7712kIVqg/ZZAxRLA2kE4ni9CM1NQ/iw2uE8IVteaekhtsGRFh4B5UsdQn3bg0kchEyY8tNFGewBjtyyJ+eoc9vu4Cl3qyJy57xW3d8OqhCDqsyEewtyEqI1C4kJYPwyRFa62sxo850KoATKxkHYixfyACuTN12W5EATyY/Pub3S4t+3wPtJHPcZbZYiOrQg8MdnxvgO7hN9g729X8XjVtiPQlJSpPK5RTxHWo6sh+XIa5UF3qjMr5q1Ls9+I240txUCLS3lN777L77wXD8U6iklFgI/BeD9ZVzRU3NI63L441fvxtP9KDXsO8x2UnLyfAVjiYXbfPwsRByuACLPJ7uYW4FkregiEVuCoy8vplFFih8tvE7FzjacdVzX1jGpnYSpHm8NcCw26cVB4ldrpd3LI1dN1e7RuOSL/U8CcuE0RKsOwWqciRlIutgsV8wExH7eQAnB/64ehvJn5Cx5a9LCXYlhG4fzN4tvv7BC6PRIP6gcSaqQO+An4cC4pOdH0oYUAm9Zhydf2Cue79eiP/yKqw2zFFHKx7pj09vlZq+VAPJutYHbCM9wM+B3ozLEfpf8UaAkbeBHhcAPM2TCLHQBjhkEvmIM/mTmXtHs13z29bgdLJcKKNYhjob500caoKcCXlp5lktaX5lFpls9dqDQXciTMbbT7eUrs1LVV72om8GkNfjTNwbHcvC1Tmgjd7w9QsFN7H7DVMsVQwhSfRYiSCZoYgU5XoLjHsBcL27sdU8ud3MFQJL17kGSHKayVpKsdzbw6sFf2shp75htnBOPLODDLsNPOGDUu9q0qB1ppPieCvAvnx/un+rK0ZcWPg5VBQAAIABJREFUJmpR/dNSqPesVQGz7TxHJkDaqou5AMVaILhmmeFmeI5Svp4qfOX7d/eh5A/AfW+4jwiFn3IO42VMkeAoHM64AE8OLDWnO3l7CtJbigUoZkdzS9ED4t098glvAmznXPswLOl7tBrPMN6Yxxq7gNHb9Sse4XZi0hoP+8bAsXvn9U5sXR5i4bZX0J7NvRZGIFpTuZvNipxugDQiL1vEGPg/LNL1ug5Eo7DXLZx+G662B5Yg2QAs0/arSoMGtBTxsHO1xhx+DMCnfauGQk/Tu58Sfzo3it+fEf2zPB5+2b1Xa/spx4RR92e7eY6sSC1aX/WT58iSP2Oyr77wQO2lfrwM2aJAhvhpAEfYxsETuSk8S06GxZdemRTP9mPcvh9zHUuxbSUy0XoOEnlzj5XP20DwYF6pUuUedgBjvnXBO+wCxl4XeNOYtPqgWwPH7br71Qt6EvKJJ7yoTy56EUJM1CCXAsj4OuT4RO5eEyDTRcjRUWC+OA8Wl6viR1+BW0xgr+2BDWPYUqutrR/Z7fIPGFg+cskdtCE+K4DHGIv0smh0tyn5IfCvzoz7eGR/yiydU8dm8EFp8UNwtmhYvvHFsGGeo7OmaBm6EnNcp1Z6IzHFdkLHIYWS3z4z6UvvNlppvuELPXLVjdkUf004fLzsDOtFZwUFq/CHr76If4dP9Y/DuuET3dSGq/IQ0mefiySLjycyb3AF0kxC2CsQvsCh68OacJnBBXvzZ7MkZZ/5Ghx+DrZC29k4MG7qOja+8e0Fx/I8u7TbCJC+hhKQkxcKN/sQRP0qFAEyWYAcljlQlpIKHijfAIIh2HAkj0kyNlnLYEdiWFbedCmQb+7NtPF7eku2PLbgjiPFX6fDQlfby6KR5iDwmszwfzy/vz+9SXhxx8+8PSwbez/hII7z923nORZu9XbzHFl1I609Zxr6a2cOiL6U/N3/MH7UOfwV3zyE5X55bJGK3F8TNXxpxza0WnPVrvLycsz4IuTxop80EyvpAiQeA81iYc5DjvtKOAB7cgEaNQ535Qqgxr18YRsYmUz1fGj+5GTvlYBIv17yG3xCdwY4ephaEbdkpotWJJWB5t6GfO+PANdnIJcmIUcuQ7YUZCJzybQG4WAESN/Kc5SyARc6WLrc6hocXW6CJPtlj0/CvpZTf+wdwZF0Tj48h89I4D+Ew7AX2c0FdsmP/Fas8TvTI/1r0P7wBXdIK3zaGXv3Btdbx2Y3SOxQtaht0W2HnqMS7lJq1akXDveHL3rvm+6DWuA/hcRBqi4VPSLpRr9kJX57IKk55TOZh79yrDgNSTrO0tuQWQRhD0OkGtIDIrPTBSD6f6/l0y1nc3C83hsYq3quO4plsnPAsWpFVsQviu5j4sA0ZPOotyhlC5AxIIevQ9YlpI9FjkCkl3KAVIWuZNCAbVqvAOwim4MkLcl2TLKq49alyLGVh/127XP8bTeMGn4SBp+xbNVQ1GozSWgt/qg1h9/rh+hqeb3HXo2PS6E/AYth/u1meY6FcOuKu3szPEcplzSSrz97X3i2H6pO98y4ySDAfyaB9/sa6KLsz7HCSeF3XzmAr/Vj3L6utSooHlvJPhMUySpZPg1F19lch7QKgklTWox2Ic8HgC7fSC5XyJ/rZB5UgPEC9YSYePkjuDZVZwc+fzsPHKsgmf93WSYkfbIGkPsuQnq6zwTE8DXI1hJUTUGSTkuApEXJdg0eKCmwuwDXaviMtmWLWGa3PUgWFKAuS7Kj+Lyvi3CbD85SRKvw0wJ41LvZTNVQkNjhugJ+5/k9ggSJvnymvuOC5oHsh5SVH3KdCebu3yrkxd6nIqQ0wuXRuq3yHAVgpLHfNU39zTN9aFh/8C3XGAL+umNVE+9xUfIHR+kB/CGa/X0h9WUSOy1FUu4kfrzIPh+DaM1ApgEkQdEEkGMlKJZ85CIJoIdgPSgSHC/BqRFYxhg7RK5Lqs5mki59uei1D7pzwdGfczsI7M/T8yILjUm2jj1I0jgga4BK5nIrkgrlZhjCXIYcnoBjc2AQUdm6YQiWvSQIkvNX4eojMHMTMPoCHHmSXRzJgQXJ43PuQ87gZyBwV9GigdEbguVLxuBfnJsQ5/q1zqZedmNJwDYR9n3rjXEDnqOxFCXt1SOmKzFTjtGRkOlvyZ94YBb/ngN+xlqMsuSv7UYLfEMM4bde6SO1ar17uuXvy4ZWrF+uUHIOD+VShd2gmC3nmqTV8QTBcBiOz5YchlUJrBe4vgBHfYTpZ+Aw8Y4cYbVXS+5q9CeBuOWbsWKV3eQhbsHunXwq38e2pPwcOpxbk8E1aLrXtCLrqgDIJuRQW3MGWJ4FVN03/rJqHi5pwNCSHEphrh701B8vgHmGepI5R3LHBIc3e5dPOqcvXcePC+CnnMCQB8ecI0kNrFNK4rfOjLF/Wn8+x95w71EGnxask+io/NpQI6+1Y46V0+1O2EDKq6FpfeWZI/VX+3FVR95yj0Lgv3Ck5uQ9W3I3mkoBwD9/5eAAUnO6ni3GFMlTPMyY4tEuUNwLkX4fyo33yEIz6TIEq0dgr1+BC0Zg1AxcuADbOADraTpT7dYo3vLZ6cUZO9xyrCzxLpO/akWS8jM/DxWHkMP7PT9S1gRkugxZH4bImpArwly+KbdrOrgWOyPSxW7AMCbZJEimufnPLNqR4ql+svp079C33FpgwK6IVuA/dhafodHFNo++FJHKcwJfkjP4v/vhduaGvxPH38BjMrMfc0DRp7LHmXbxJKmC06byrNOegEezFrES5hvP/lbwLD6//WWVD7zlDkDh5x3wSZeXseYJF+fZZL/zylP4E3x2+ylB/QD4cl4qx/ZhK/4cL/pG0X2O56FMCGl1biEOq/xfuwSRR5ZJNC5aoRAUqbBdtERR8Yob7Yndbw+OtdhhCfdtAvpx4LWqa/IETd4p8RBk7RqU2QMRLkC1lqFKgMxyUACa3hd3ug7bBFzzrbxbIkGytCQbKezsJCw7kxEkV/W2GTCQPD7njlqHv+lD4CSQwzf7YjzybaHwz8+Oiq/2Y8p4TJYijsrso1bI90s/B+voOW6Q5yiktDLJzlwN9df7UXrHkj83hv/Iwf+EBOwitsiSvz9WCr89va9/jdL6Mh/dluIpiOMH8mZ6ZUwxXYAa3weRLEHZZUifbGmRCLLyabLlKalKLOGtwWgWYjAr/Sps/X0w+gW46QOw3los9RgHwFocXHAsz7wLJMuGYHNjkJNHIa5eglpegCqtyHgZat8IJC1ID5BDREQIgiQrTHQNlkCZLMA2WYpoYJvDMHS39x6EmZmGmzwKU9B/vLHSvokDBpIPXXOfFMDPCuHrFhjsyfmRDt9LBX59ely83JeHEsBDM25fYPBp5yx76bQ/3ZQeJlOs8N0qV/etLvZScDOtQJ3qV8nfA5fdp53F3wZwwNOKHFwBjs8Y4DcGjprTIwN9fBYyfhyC8XvGFAmKo0x0LkNmMZQbhaC1OFTRNuDzQlDkcyILi5FW48IIDPmLZW+WntYi526AnpfBcat7PbEVkHyiMEfOA5JMAiZqxnx32Jz2s7wAHTahIpkDJKtLqGNKX4/V/r59Yw2m5TxP0iQWJrgKuzgKO7YX2RXkvScK0mrekGdANSRpEYX78IRVeMK3ji2Vf7wrjD9pAf9bP3UEj0+3jspAf0pIMe7fNN2tXW9QW52X/KmvvvCA6EvJ35EZ9z5E+K+cwGO0itrACLypgH/20gHxVL9eHv05boXEXdByeoFi1VLMAigCIg0IWo08L0/LKaxFAqM+CLNwBVbMwgV1mDq7+b0A54UjytrolbbLhQrjzky8rHXfBxscV1uSq2g/iadcQdWvQ4VLUOkYZNL0lTaSQBmxH07xZoyLHreqBps42DZIMh6ZwQzvhyFI+rrt03Cnz8MOsrAFY2lhiL8JCaoSe+qPF7YQzO/jf39hDP+6b60avuTUYx/GlLH2w3DoKEX0ytumYp3TERdIhZHfee4wvtOPkr/D19y4Nvhb1uEnCAd0nwmO5Do4id8Z2od/eUaIpD8A1qej5sZD/owXGejjUxBzM1DpVch0KLcU0xaU0ZD1UUjbhLQUxiu8K28p1uDIF5ZkEGSwiymsqsP4bHQTdmgMpt2HnonMXLXbDZKV2GsG7gxw7AZJSrFPQEydzEsQJwA5PwtFlZ+6goollLcih/OFQQsyqkNYpiiYqShcbeU6QbJmYEgkj96EZd/bxjIsOyV29LwdILehvG0PX3WPOIn/kk0KC8fHxySFwIwz+F9e3Ce+3qfHFyeefath9h78uHD2EZ/3zZ/mDuEJKdw5O6S+2peSP+fUkWv4qzD4eQiwfKCUErNC4N8Kg994+S7xdr+uvy/HXSsDfQyy+RyUuRtyeBHKg+I4pLma84TpTZX0HFGDwzKgoryQgsCoExhyGBdjmHAUhp38aCicOd2RiR5YClz3XNxZ4OjdwkoZYimHxgQ1lX4OQy5ehqprqFBBpQJStqCzBqRpQgbSJyrKB9TFEZxs5u526mACB1uzMJcMTPA27NKDyEj/YdKmqA8t3e2Biq34RcGerfNerv/nILHXa0fmCSyC5DecxT99cY9gA8m+fCioIRJ8xhl7j2DrLSetUvJSjOWvnHtPo2jsu71DP3DFfeQdCPi7zuFwW19RwDqLF+DwT1452Md+4tt7KStHW7EWc6vxLCS5ikkEmTADfQCysQSV5daiB0UbF4LKxVEIjDKCZdkfEy+6RkI97BLBsQUTHYOpTcNOJz69l2fuO9oNDJb7fGe71b2urkvMwscipyEZfB4j7eeu3IoMZW5JBiJ/k5YAadjkit5VK397agub1WCSJdiwDtMwyN60sPUMZnQCZnY6p/+czpM1paIIsXZHElzXWhBs9jQ2hP/EOXzWiydQ+YcxyZy68q9chi/2s3XsIxfcwwLmA1Ko7z57H1u1bf/9O3LVvUda/D0n8ElP4CZfkaAIXLbAr1/Yhz8YOJewBMVcDbsDFEcCqHgRKmOyRUOZFlSUQLmG95ZkybFi7F0sw8kQVhnYVgqjQxgaB4vDMOpNWMYW6TF18RZvu4JOP941d57l2HGXOipsxMlCDm1pKNeLXAxyK5K8SCWhA5kDJOORYR3SzEOGFHGI4GLAESRpSabLsPV7kF55CzYagolHkUVnYUdHYWYrHMknOygM2/+Q92NBlMc8esVNBgp/5502sWzfmscic6Qit++fncvjkRUWYj/PZnuOzZK/4QB/C8DPUJ2/4kIzlvi7Cw5fnO2HWs/2nP7qo/TQVSxDSaTltJagh6MV97nGtU1wnIPCUKUxHhvlMbYYwYoluGAcWXMeNgyRhcMwc28VscUpmKJIokyhDSxrYyNTcoeDY4eb7cNZpP1QEm1mGooVAKNM1lyFivcWGW1akU0omUCbvQVARhAu8baESyKvHUkxC5stwZhJZNFCnt1umpz+M38Qxidtvgh3mhp1XygC1P4MBgsk3zfnPiQdfuEdsjM7E3K9SJfXbE9rgV89Mya+tZGFdlu3cU4cuYq/IoBfhAObh7VVcwTwVJbiVy8c6l/IoC/X3lXuV81Ak8DdSKAzFkRchWaihaDIBKR3odnkqvy0gJgxRRZEBDByATYOYcIDyBYzmDCFoS6qtxZLMvcAr+fNzMWdD47l3ejiRnrl8SJhQ9pP4zI0qwBaCko1oQMmbgiQQ5CBgAwICklO/6G0gGF5FBM2EWywDJNZmLSGLOoBkgNfs+2cenAOPymAn6dCH8GxyGqTRP5nJsI/nh4SM5tZeLdq26PX3ON8NVmHE0XVjU+4CIHz1uAfvTKo1Jy81alvS3B0DHJ5Dip9D+SIhiJ5mzHFKIU2I5BGejc6b9RGefw4f9H7l30I44Exg2llMEy6LJHUzdjiKExZLebDRZ+tdAHMI/MDFTLa7Jp794Bj9c6svHW9q00xC+pw7gPkIqDC16BDxmlG81hkHEPrBMrWIHUCiQgoLcks9LL3luAY2AIkM2R0t5MUGRWA5pswFLY4s2Kx8Gx2fG1p92I6esWNKoX/XACfdaTflPFI0mwcfnt+HL/5phDLm12E/dj+/kvuoNT4BxD4CUaAPSAyvigx5xx+/fxe/HbfaEr9uKAeGeiSlkNLMatBjWjIJISOrkGTq2glJBOPPgudQHjleLrPgb8XThkYgmOcwQQhsiXGGMtMdAzrpcXKhMuAcnpvZireneDo71hnPJJiFqywYcJm7yTk4nno+v48YbPcQsB4pJZQTNRYkYMksy0igkvyFg0eJBmPNIzVGGRZHRnpP+RILqQwQ0swFeXjlQzfgLnaR6+7B7TEfwOLj3oCeU4UZkzysrD4tRfH8Xu3K3xw3Lmwdd1buH8H1lfUexea9CAI/F9NjX/yxijfhQP0qSZbrr3TMehjEMxAN+eh0kmoobegs71FooUxxRQ6pAtN9gWtxYRd0HNLkVZiQje6AEWdImM2mpnosIHMq3RPw10YgakIRQzci3w7ZvddDI4VgKS4LqsHnoCYKtozsLpm7ir0sIRcpputoRXjOEOQKoUOal5k1wMk38pIgKwBI2M4b0UGyNKaF7TIjEXGeCQz29dey0mzY3OwHSTyAXRTHrrmTjqBv5u3Zs9J5P6FATxvgP9helz8xXYs0o0e48hVx9ann/etbOk2Fu1PBfCtd375/Mt9bGW70XPc1HZVa5Eu9IEKLSeA8lzFACpJEUQExSSnqHlQTIu5COG4NkWQxxWTAEYbZDqCiQ3McoxMF5nokSFkPek5A/by3tQ9vsHG73JwLO7MWtxIQI5eglpcgq6HUPG4p/rooAUlJXSWQOlabknaxGe2kYZwSQwnW7DBiO+/nKUWJqohu2q9RelBcmICGWu2p496PdeyFHHgqgoocrv4AH6aUl4ARovMds6xc/hDmeEfvTDRn9YE5bo+PO8eCgz+Rwd8vKAceSkx5/AmHH7l5f3i32zXA3PLjlPlK56FooRY8iBkSctJIuiMVLQEOmBssQTFMrZYnKhkkqW0FsnPHUMWX0cWTuRrkZnoxjG+14uwT7Wd8QC+sLdzfnbBsTsWyd/LCpsRiLkpSKr9LM5DDR8oEjYSWsQIfEZ7CNL/yyw3IOKiFNG7MM672D6ekzmYdAkmM8hqKbLhSWTNS0Vm+yzsxNuwpwZEBLTXAnxo3u2DxS84tkjKtb9z/UjKe1j8Znwdv7ndrRpY8hcI/AMH/A2vel640M75cvnfiPfgf+1nu9rtfBDzSE9nAYMP9UxBLl+EIoGbtJzkCnS011uMBERtFVRAi5FaAWkhd5SnSlwawPi4ooFRGUwSIAtiZJ63WMYWz8F2uNB3IJl7q/O0C46r7lwPbmRRYTNah1qmO7MXcvEtBHtGPIFcSwGdLkArkSuZ2MWi0oaF3cOwHiSdz24bGyIzS97lzuomd7fHYmRzh2CY5/GZ7arQ7oC5NEcX3LF3CMT/PYAf7FD9AS4KiV8+Nyr+YKuLtb2fc+qBOfyscPglABSvKKk5tMB/31l8/uV94vWbHudWHaCbr/gExFFSzbTv4a4bh6HpPteYiVbQAV/GDShzJQ/veFAMAZdC+GTLPFyqYbIGMrkEE2hkcYSMGekwgWnVkfq2xZQV+xGYQth5YIVU+jVNu+C41p2t8MhKSbSyhw25kVQeJ+1n+QqC0QA6GYbWAooAafiTQnHBarqXS4AJYFUAY1ow3t1eRmb3Io0uwpgYGSXSfNLmEExbQ3KA+WTvnXM/Jh3+oQMmixJEL4/G+J9Q+KUXh8X3trKoj15zn3xHbvV/ZuFau+Qvz0Q/LzX+/rlR8edbOe5t2ae7Z8spSGorLrEG+hIUXeiEluFlBMmYD+PoIIO2dUh9DZrsibawBHslBbApG8ox3m1gCIypQkrPJUgLa3ERZmgKhm2KT68oc9+RFS43O6e74LiRO1jGfyq8stZRyLHZ/G2ulqGXQgRKQafSA6SWab54ZVqob3MVB3BZ4jPbnhfJRcuYJBM2JkLasjD1FNnS/o6a7YGVR6PIbbTXZ47/tgMavr927v4ya/N/Golf2Wjr2Ieb7r40xq8K4D8o44oQHhQvO4Ffnh7Db/VDrWcjy2NL23Qp5lRBkVbi0DJ0GkMHBoGZgPJxxUVoTWoOixIKF9rzFQmKC3ByCBnd6EAjnQuRqTmYZhMZ15kXiihd6Kqk2Ls8rnijudsFx42u7K540PGzUHzDe0m0y1Bh4BeubhXxSNJ+RIqAiZt2VrsQtcj4lne+IiGju01wDAmQBMoa0paBaaTI5mKYsUmYVaonA+ZqPzzrDpkQ/1A4/GTZ8KuISS46i18L38RvrtWq4W7nhhrz+PuAr9KJ2iV/QCKAL6YOv9JP7cmNLo8Nb9e5jiTZEVdOQTUZRxyCGp6ASprQUQydBAjIkrACSmdQNs0z0X4sLrwhWBHDZtrHFr21qFJkSYIsHEdapefMzMN4zuIdJCm24Xu+xQ13wXGzN67COZs6kjf6oj7e2CRUcD13tXUTWo1AxzEC1mzTiqSrrQqOZDlkAZDGA2QLxgZICZDkSLoa0jhDVi1H9CTyAV7cD153H4TALzvgA0UCJefhAa8I4Je+Pyb+pDod75tzf805/E8QOTWnElv8Uyj84ksj4oXNTt9t3b6agT4NycoWeiAtVmcxnkjKWIKAyZZAQZOvSG/EZlAuhAjSvOwv5ctV+1i2yTQytQyTMtmSIktDH0/MKBTB0j9ya6fninYFAyzQfDvmbRcct3LXq3Wt8NxIeeUCFCXRyI2k2k+z4EYKlQNkKqHrKXQmoEj9YWY7zcf2ViR/WhZZUFiQBMqoAMl2zXYTZt9hmNOn4HCyUP8ZNLfIOfG+efzVdzog/HdwOFRUbfjM9jsqOV+GxN9zBnUB/BoEPlpSg/IiF0xD4BenR8UfbmXabts+pbVIFsQRSExBTD4NFY9BZYdyF5pcxbHA03N0liGg+2wyaMeCA0rHpXlYJuVaYVxRIyPzIcuQaY00YVyxjmzpMky4iKytnsN66FnfSTNPuAyY13Hb5qwSzL2d5zCYY1drtZ+E9FZkHYKu9tJZ6LFjkNE8tGghkBpBIqGHUui05he/VmwnG67QL+hqZ7mghdEWWStAyn9LV5uZ7WQM2cJFmD2HkHkl8m45+gFa+Aeda4zP4xes8yK7tVL1h3FE56AhKnQgqnEL/ApG8E+nhYgHZsFUXOiylp8v0Wbd1z/rRgil5xGmY7mlSCuRgMgfWosBy/5CCIKiSApgpIdRQ+rd6ABZmCBN9yGNMmQLGUwU5/XQbf5smdQbtJfoDpjkXcvxZiehi4Zx8olc8YeNvmZnoYMgd7VVK0/YQCFgLNLUoNJlBLoBqTJf0eAfArpLyymcbnmLILMEyBAZQiTGIB0i/WccZvgiDOk/hdDuwCZtHrrmDhuJXxYOP9Fu9lWI7BZT87ta4799odFfIvnNLoOO/XvEp9ndb+ESdGMJOgmhIq6LDCFBUS4jIGex6kKzbt1TcxQMgZEJPKWQmSGkrHDJMqThNWTpONLlIWS1lv+x0TNwZ54oCgtKzuIAvTS3dR5u8mC74HiTN7C9e7e4bkHgJYF8LipcbT4ALQTD+6HjOQRCIqAVKRlwZw+jsnVsChAkGYtkGWLT5e62M0hdhNRYpI0RZK1ZmDJps0r5Z8AeiPcuuE8Ig3/sgEepQC6A7zjgv35pTHxzu6ao78epUnM+yc48EEfZ3O1iTstpBtAx6/RTBKWlmJk87OJd6Ch/SSLIA4vS5v27mbCzEmnKsr8UaaiQpgHS2iSyhUsw9YMw+1CEW6ouNC94wNZB3+doEwPsguMmbtaGN61Qf46fhFwqyhBJII80NOOQdLNrCULGmvhwCJFnJZm0cUHe+Y00DathWAJm4zxh4yzSYAmZY/KmhjTJkA3vQTYPmEZZaZM/ILkQ6SA9HF9y6n0/jJ+l/vr3x/E7g3PuXR3+ChI3ZcSS+6DKZIvKEGYagTIILC1Gg4DcWGugOOdBAKQERcDSYlQW2XLLW4xpoJCaFGmcIqtppHSflxq5tTjoJagbfq5u8Ya74NivG16RRWOy4TgFLZjVjqCaGmpPC8HyGAJfhpgiIGC+U0GiTQjFeJPMfMwtjxTRimQHU8YjW8jcEBLrvBxaupAh9dJoMTI+LPUyabPSruFdqajSr2ldddwqXzGfZ8l5jiOoBosDmJgLECQJAmURku5Fa9GDIjmxBgy2+IaHaQpHUDQWRjKkkuWxRTOMJM2QMhu93EIWjMBwni8chsEgJ+du2SRtbaBdcNzafdvgXl2yaEUfm+UG1MghqOacD8QHqgBINQTtXW0BLZoI6G6DVmRB4fAVIXVkMoZxATLbREoL0tLVns+tisYk0gXADAFm+nQXhWOQrMgN3uHbtlk1A130bJkc9RJisnENOtZeoCRIOL9LCIuYovcS+PLz3MWyDj+FM2xiFeecV62QMhNtFJIy4bLMrHQG05hARg/hTHdjq9253falsAuO235Lexywqsc3AUFXe+5pqLGjuRUZUg6NCZthaFe42lJ5cPSZbVI5ynik0LkUl01ytyseQhpapJY/GVKTIc1qSD2JfMInbEwhsuva7Rp2H6Sbm/VqxdRJiMPMQFNbcQiqXkfAggClEaQpgozz2ERoa3kNvmtB6aDdpsAJAmPhQhuVz2Gmker830RfhVkOkdUayHY5izc3bZvdexccN3vHbmb7CgmYCuTMavsyRNZqX8+zlYsxQlJ/WILIHHUqEUgDLUMo0n9cBkmAJPVHpLklSReb7nZLIyFQMnHD+NRQjCxtIFsqrA322D75jrv9+ZXuiHe81P3NTFfHvtVkyzEIUrcojkwvoBVBU3A2qCNIQgSa85flwGhq0FETgQshGVtE9g4Nni84gmKETDlkWQwTSCRWIWHShdZithdJjfSctOJC5/M2uO1/t20ybs2BdsHx1tznzlGqCZsDkKR5MKM5tAQd1aDVeJ7QidFuAAAU7ElEQVS0aSUIJS2OFEGaIRAZAkWQpCVJkHRwhpUSgIk1Mk05Ko3UNZE2NZIaQbKatLlQtNXMGyXtPmQbnfuul9psGVechKq/hiAMoWPOUYBwyCAkKKpaHhphXNEx4cLUGEFRw4qkUGnKs9CeohXy3xRpWeHC+DFdaKpyVypcBi/JttF7vAO32wXH2zEpXWosJwE5exZy4pj/V9cOQS3R1ZYI6GZLmQNjIv1/a0n6T564yUUcNJwh5QMwVnvaTxo4L2TBcsS0niHx5YijyJYvIiuVfyo9tgtVlju7YdKmp7ozroiynn7xHAJqK4YRdMxkS4qwTlDUCKRCyPmxFtrVIZ3x1r4QKi/3449Rnr9KvmK6rJCULnRUQ7qcIis7/vlqqGpizU/27hxteh63uMMuOG7xxm3bbl31tmyaNEGwnIVeCqDDnBwcIEGIFKGsM0WDwAjosIXABrkV6TOeWW5JejebvEhakQES10LqShL5MFJ2dPBJm+l2T5sVEvnuw9fZX6hLRqwRQrfIVQwQqARBEiCUBiFfZIIUHSZcCkoWXWjPNHBePciQ0K/pPts84UJrcSHIky71JtKFEZhLTRiwsdWKdU9AHKj+4Nv2bNzmA+2C422egPbwKyRyKrXIuZI8fAgqnMvd7OUEIYEyShGi5gnk/oEk/cdTf1h0l3/e0Xv14r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",lZ="data:image/png;base64,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XMLHttpRequest;if(Qe.open("GET",ze.url,!0),Qe.responseType="arraybuffer",Qe.onreadystatechange=this._onReadyStateChange.bind(this),Qe.onprogress=this._onProgress.bind(this),Qe.onload=this._onLoad.bind(this),Qe.onerror=this._onXhrError.bind(this),xe.withCredentials&&(Qe.withCredentials=!0),typeof ze.headers=="object"){let xt=ze.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Qe.setRequestHeader(bt,xt[bt])}if(typeof this._config.headers=="object"){let xt=this._config.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Qe.setRequestHeader(bt,xt[bt])}Qe.send()}abort(){this._requestAbort=!0,this._internalAbort(),this._status=be.kComplete}_internalAbort(){this._xhr&&(this._xhr.onreadystatechange=null,this._xhr.onprogress=null,this._xhr.onload=null,this._xhr.onerror=null,this._xhr.abort(),this._xhr=null)}_onReadyStateChange(xe){let Le=xe.target;if(Le.readyState===2){if(Le.responseURL!=null){let Ie=this._seekHandler.removeURLParameters(Le.responseURL);Le.responseURL!==this._currentRequestURL&&Ie!==this._currentRedirectedURL&&(this._currentRedirectedURL=Ie,this._onURLRedirect&&this._onURLRedirect(Ie))}if(Le.status>=200&&Le.status<=299){if(this._waitForTotalLength)return;this._status=be.kBuffering}else if(this._status=be.kError,this._onError)this._onError(ce.HTTP_STATUS_CODE_INVALID,{code:Le.status,msg:Le.statusText});else throw new we("RangeLoader: Http code invalid, "+Le.status+" "+Le.statusText)}}_onProgress(xe){if(this._status===be.kError)return;if(this._contentLength===null){let Ie=!1;if(this._waitForTotalLength){this._waitForTotalLength=!1,this._totalLengthReceived=!0,Ie=!0;let ze=xe.total;this._internalAbort(),ze!=null&ze!==0&&(this._totalLength=ze)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,Ie){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let Le=xe.loaded-this._lastTimeLoaded;this._lastTimeLoaded=xe.loaded,this._speedSampler.addBytes(Le)}_normalizeSpeed(xe){let Le=this._chunkSizeKBList,Ie=Le.length-1,ze=0,Qe=0,xt=Ie;if(xe=Le[ze]&&xe=3&&(Le=this._speedSampler.currentKBps)),Le!==0){let xt=this._normalizeSpeed(Le);this._currentSpeedNormalized!==xt&&(this._currentSpeedNormalized=xt,this._currentChunkSizeKB=xt)}let Ie=xe.target.response,ze=this._range.from+this._receivedLength;this._receivedLength+=Ie.byteLength;let Qe=!1;this._contentLength!=null&&this._receivedLength0&&this._receivedLength{this._dispatchArrayBuffer(Le.result)},Le.readAsArrayBuffer(xe.data)}else{this._status=be.kError;let Le={code:-1,msg:"Unsupported WebSocket message type: "+xe.data.constructor.name};if(this._onError)this._onError(ce.EXCEPTION,Le);else throw new we(Le.msg)}}_dispatchArrayBuffer(xe){let Le=xe,Ie=this._receivedLength;this._receivedLength+=Le.byteLength,this._onDataArrival&&this._onDataArrival(Le,Ie,this._receivedLength)}_onWebSocketError(xe){this._status=be.kError;let Le={code:xe.code,msg:xe.message};if(this._onError)this._onError(ce.EXCEPTION,Le);else throw new we(Le.msg)}}var We=Be;class Ge{constructor(xe){this._zeroStart=xe||!1}getConfig(xe,Le){let Ie={};if(Le.from!==0||Le.to!==-1){let ze;Le.to!==-1?ze=`bytes=${Le.from.toString()}-${Le.to.toString()}`:ze=`bytes=${Le.from.toString()}-`,Ie.Range=ze}else this._zeroStart&&(Ie.Range="bytes=0-");return{url:xe,headers:Ie}}removeURLParameters(xe){return xe}}var Xe=Ge;class Ye{constructor(xe,Le){this._startName=xe,this._endName=Le}getConfig(xe,Le){let Ie=xe;if(Le.from!==0||Le.to!==-1){let ze=!0;Ie.indexOf("?")===-1&&(Ie+="?",ze=!1),ze&&(Ie+="&"),Ie+=`${this._startName}=${Le.from.toString()}`,Le.to!==-1&&(Ie+=`&${this._endName}=${Le.to.toString()}`)}return{url:Ie,headers:{}}}removeURLParameters(xe){let Le=xe.split("?")[0],Ie,ze=xe.indexOf("?");ze!==-1&&(Ie=xe.substring(ze+1));let Qe="";if(Ie!=null&&Ie.length>0){let xt=Ie.split("&");for(let bt=0;bt0;Yt[0]!==this._startName&&Yt[0]!==this._endName&&(Ht&&(Qe+="&"),Qe+=xt[bt])}}return Qe.length===0?Le:Le+"?"+Qe}}var rt=Ye;class $e{constructor(xe,Le,Ie){this.TAG="IOController",this._config=Le,this._extraData=Ie,this._stashInitialSize=1024*384,Le.stashInitialSize!=null&&Le.stashInitialSize>0&&(this._stashInitialSize=Le.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,Le.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=xe,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(xe.url),this._refTotalLength=xe.filesize?xe.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new Ee,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(xe){this._extraData=xe}get onDataArrival(){return this._onDataArrival}set onDataArrival(xe){this._onDataArrival=xe}get onSeeked(){return this._onSeeked}set onSeeked(xe){this._onSeeked=xe}get onError(){return this._onError}set onError(xe){this._onError=xe}get onComplete(){return this._onComplete}set onComplete(xe){this._onComplete=xe}get onRedirect(){return this._onRedirect}set onRedirect(xe){this._onRedirect=xe}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(xe){this._onRecoveredEarlyEof=xe}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===Ne?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let xe=this._config;if(xe.seekType==="range")this._seekHandler=new Xe(this._config.rangeLoadZeroStart);else if(xe.seekType==="param"){let Le=xe.seekParamStart||"bstart",Ie=xe.seekParamEnd||"bend";this._seekHandler=new rt(Le,Ie)}else if(xe.seekType==="custom"){if(typeof xe.customSeekHandler!="function")throw new pe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new xe.customSeekHandler}else throw new pe(`Invalid seekType in config: ${xe.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=We;else if(he.isSupported())this._loaderClass=he;else if(ue.isSupported())this._loaderClass=ue;else if(Ne.isSupported())this._loaderClass=Ne;else throw new we("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(xe){this._currentRange={from:0,to:-1},xe&&(this._currentRange.from=xe),this._speedSampler.reset(),xe||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let xe=this._resumeFrom;this._resumeFrom=0,this._internalSeek(xe,!0)}}seek(xe){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(xe,!0)}_internalSeek(xe,Le){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(Le),this._loader.destroy(),this._loader=null;let Ie={from:xe,to:-1};this._currentRange={from:Ie.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,Ie),this._onSeeked&&this._onSeeked()}updateUrl(xe){if(!xe||typeof xe!="string"||xe.length===0)throw new pe("Url must be a non-empty string!");this._dataSource.url=xe}_expandBuffer(xe){let Le=this._stashSize;for(;Le+1024*1024*10){let ze=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(Ie,0,Le).set(ze,0)}this._stashBuffer=Ie,this._bufferSize=Le}_normalizeSpeed(xe){let Le=this._speedNormalizeList,Ie=Le.length-1,ze=0,Qe=0,xt=Ie;if(xe=Le[ze]&&xe=512&&xe<=1024?Le=Math.floor(xe*1.5):Le=xe*2,Le>8192&&(Le=8192);let Ie=Le*1024+1024*1024*1;this._bufferSize0){let xt=this._stashBuffer.slice(0,this._stashUsed),bt=this._dispatchChunks(xt,this._stashByteStart);if(bt0){let Yt=new Uint8Array(xt,bt);Qe.set(Yt,0),this._stashUsed=Yt.byteLength,this._stashByteStart+=bt}}else this._stashUsed=0,this._stashByteStart+=bt;this._stashUsed+xe.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+xe.byteLength),Qe=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Qe.set(new Uint8Array(xe),this._stashUsed),this._stashUsed+=xe.byteLength}else{let xt=this._dispatchChunks(xe,Le);if(xtthis._bufferSize&&(this._expandBuffer(bt),Qe=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Qe.set(new Uint8Array(xe,xt),0),this._stashUsed+=bt,this._stashByteStart=Le+xt}}}else if(this._stashUsed===0){let Qe=this._dispatchChunks(xe,Le);if(Qethis._bufferSize&&this._expandBuffer(xt),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(xe,Qe),0),this._stashUsed+=xt,this._stashByteStart=Le+Qe}}else{this._stashUsed+xe.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+xe.byteLength);let Qe=new Uint8Array(this._stashBuffer,0,this._bufferSize);Qe.set(new Uint8Array(xe),this._stashUsed),this._stashUsed+=xe.byteLength;let xt=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(xt0){let bt=new Uint8Array(this._stashBuffer,xt);Qe.set(bt,0)}this._stashUsed-=xt,this._stashByteStart+=xt}}_flushStashBuffer(xe){if(this._stashUsed>0){let Le=this._stashBuffer.slice(0,this._stashUsed),Ie=this._dispatchChunks(Le,this._stashByteStart),ze=Le.byteLength-Ie;if(Ie0){let Qe=new Uint8Array(this._stashBuffer,0,this._bufferSize),xt=new Uint8Array(Le,Ie);Qe.set(xt,0),this._stashUsed=xt.byteLength,this._stashByteStart+=Ie}return 0}return this._stashUsed=0,this._stashByteStart=0,ze}return 0}_onLoaderComplete(xe,Le){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(xe,Le){switch(Pe.e(this.TAG,`Loader error, code = ${Le.code}, msg = ${Le.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,xe=ce.UNRECOVERABLE_EARLY_EOF),xe){case ce.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let Ie=this._currentRange.to+1;Ie0){let Le=mt.getConfig();xe.emit("change",Le)}}static registerListener(xe){mt.emitter.addListener("change",xe)}static removeListener(xe){mt.emitter.removeListener("change",xe)}static addLogListener(xe){Pe.emitter.addListener("log",xe),Pe.emitter.listenerCount("log")>0&&(Pe.ENABLE_CALLBACK=!0,mt._notifyChange())}static removeLogListener(xe){Pe.emitter.removeListener("log",xe),Pe.emitter.listenerCount("log")===0&&(Pe.ENABLE_CALLBACK=!1,mt._notifyChange())}}mt.emitter=new(Ce());var ht=mt;class vt{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let xe=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,Le=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&xe&&Le}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(xe){if(this.keyframesIndex==null)return null;let Le=this.keyframesIndex,Ie=this._search(Le.times,xe);return{index:Ie,milliseconds:Le.times[Ie],fileposition:Le.filepositions[Ie]}}_search(xe,Le){let Ie=0,ze=xe.length-1,Qe=0,xt=0,bt=ze;for(Le=xe[Qe]&&Le=128){xe.push(String.fromCharCode(Qe&65535)),Ie+=2;continue}}}else if(Le[Ie]<240){if(qt(Le,Ie,2)){let Qe=(Le[Ie]&15)<<12|(Le[Ie+1]&63)<<6|Le[Ie+2]&63;if(Qe>=2048&&(Qe&63488)!==55296){xe.push(String.fromCharCode(Qe&65535)),Ie+=3;continue}}}else if(Le[Ie]<248&&qt(Le,Ie,3)){let Qe=(Le[Ie]&7)<<18|(Le[Ie+1]&63)<<12|(Le[Ie+2]&63)<<6|Le[Ie+3]&63;if(Qe>65536&&Qe<1114112){Qe-=65536,xe.push(String.fromCharCode(Qe>>>10|55296)),xe.push(String.fromCharCode(Qe&1023|56320)),Ie+=4;continue}}}xe.push("\uFFFD"),++Ie}return xe.join("")}var mn=en;let Ot=function(){let pt=new ArrayBuffer(2);return new DataView(pt).setInt16(0,256,!0),new Int16Array(pt)[0]===256}();class an{static parseScriptData(xe,Le,Ie){let ze={};try{let Qe=an.parseValue(xe,Le,Ie),xt=an.parseValue(xe,Le+Qe.size,Ie-Qe.size);ze[Qe.data]=xt.data}catch(Qe){Pe.e("AMF",Qe.toString())}return ze}static parseObject(xe,Le,Ie){if(Ie<3)throw new Me("Data not enough when parse ScriptDataObject");let ze=an.parseString(xe,Le,Ie),Qe=an.parseValue(xe,Le+ze.size,Ie-ze.size),xt=Qe.objectEnd;return{data:{name:ze.data,value:Qe.data},size:ze.size+Qe.size,objectEnd:xt}}static parseVariable(xe,Le,Ie){return an.parseObject(xe,Le,Ie)}static parseString(xe,Le,Ie){if(Ie<2)throw new Me("Data not enough when parse String");let Qe=new DataView(xe,Le,Ie).getUint16(0,!Ot),xt;return Qe>0?xt=mn(new Uint8Array(xe,Le+2,Qe)):xt="",{data:xt,size:2+Qe}}static parseLongString(xe,Le,Ie){if(Ie<4)throw new Me("Data not enough when parse LongString");let Qe=new DataView(xe,Le,Ie).getUint32(0,!Ot),xt;return Qe>0?xt=mn(new Uint8Array(xe,Le+4,Qe)):xt="",{data:xt,size:4+Qe}}static parseDate(xe,Le,Ie){if(Ie<10)throw new Me("Data size invalid when parse Date");let ze=new DataView(xe,Le,Ie),Qe=ze.getFloat64(0,!Ot),xt=ze.getInt16(8,!Ot);return Qe+=xt*60*1e3,{data:new Date(Qe),size:10}}static parseValue(xe,Le,Ie){if(Ie<1)throw new Me("Data not enough when parse Value");let ze=new DataView(xe,Le,Ie),Qe=1,xt=ze.getUint8(0),bt,Yt=!1;try{switch(xt){case 0:bt=ze.getFloat64(1,!Ot),Qe+=8;break;case 1:{bt=!!ze.getUint8(1),Qe+=1;break}case 2:{let Ht=an.parseString(xe,Le+1,Ie-1);bt=Ht.data,Qe+=Ht.size;break}case 3:{bt={};let Ht=0;for((ze.getUint32(Ie-4,!Ot)&16777215)===9&&(Ht=3);Qe32)throw new pe("ExpGolomb: readBits() bits exceeded max 32bits!");if(xe<=this._current_word_bits_left){let xt=this._current_word>>>32-xe;return this._current_word<<=xe,this._current_word_bits_left-=xe,xt}let Le=this._current_word_bits_left?this._current_word:0;Le=Le>>>32-this._current_word_bits_left;let Ie=xe-this._current_word_bits_left;this._fillCurrentWord();let ze=Math.min(Ie,this._current_word_bits_left),Qe=this._current_word>>>32-ze;return this._current_word<<=ze,this._current_word_bits_left-=ze,Le=Le<>>xe)return this._current_word<<=xe,this._current_word_bits_left-=xe,xe;return this._fillCurrentWord(),xe+this._skipLeadingZero()}readUEG(){let xe=this._skipLeadingZero();return this.readBits(xe+1)-1}readSEG(){let xe=this.readUEG();return xe&1?xe+1>>>1:-1*(xe>>>1)}}var Nn=Dn;class sn{static _ebsp2rbsp(xe){let Le=xe,Ie=Le.byteLength,ze=new Uint8Array(Ie),Qe=0;for(let xt=0;xt=2&&Le[xt]===3&&Le[xt-1]===0&&Le[xt-2]===0||(ze[Qe]=Le[xt],Qe++);return new Uint8Array(ze.buffer,0,Qe)}static parseSPS(xe){let Le=sn._ebsp2rbsp(xe),Ie=new Nn(Le);Ie.readByte();let ze=Ie.readByte();Ie.readByte();let Qe=Ie.readByte();Ie.readUEG();let xt=sn.getProfileString(ze),bt=sn.getLevelString(Qe),Yt=1,Ht=420,cn=[0,420,422,444],dn=8;if((ze===100||ze===110||ze===122||ze===244||ze===44||ze===83||ze===86||ze===118||ze===128||ze===138||ze===144)&&(Yt=Ie.readUEG(),Yt===3&&Ie.readBits(1),Yt<=3&&(Ht=cn[Yt]),dn=Ie.readUEG()+8,Ie.readUEG(),Ie.readBits(1),Ie.readBool())){let Da=Yt!==3?8:12;for(let sa=0;sa0&&Da<16?(br=sa[Da-1],tr=Ja[Da-1]):Da===255&&(br=Ie.readByte()<<8|Ie.readByte(),tr=Ie.readByte()<<8|Ie.readByte())}if(Ie.readBool()&&Ie.readBool(),Ie.readBool()&&(Ie.readBits(4),Ie.readBool()&&Ie.readBits(24)),Ie.readBool()&&(Ie.readUEG(),Ie.readUEG()),Ie.readBool()){let Da=Ie.readBits(32),sa=Ie.readBits(32);vr=Ie.readBool(),Bn=sa,xr=Da*2,hr=Bn/xr}}let Nr=1;(br!==1||tr!==1)&&(Nr=br/tr);let Xa=0,$a=0;if(Yt===0)Xa=1,$a=2-mr;else{let Da=Yt===3?1:2,sa=Yt===1?2:1;Xa=Da,$a=sa*(2-mr)}let ai=(er+1)*16,Zr=(2-mr)*((rr+1)*16);ai-=(pn+tn)*Xa,Zr-=(Tn+Hn)*$a;let ca=Math.ceil(ai*Nr);return Ie.destroy(),Ie=null,{profile_string:xt,level_string:bt,bit_depth:dn,ref_frames:Mn,chroma_format:Ht,chroma_format_string:sn.getChromaFormatString(Ht),frame_rate:{fixed:vr,fps:hr,fps_den:xr,fps_num:Bn},sar_ratio:{width:br,height:tr},codec_size:{width:ai,height:Zr},present_size:{width:ca,height:Zr}}}static _skipScalingList(xe,Le){let Ie=8,ze=8,Qe=0;for(let xt=0;xt>>8&255|(pt&255)<<8}function Gt(pt){return(pt&4278190080)>>>24|(pt&16711680)>>>8|(pt&65280)<<8|(pt&255)<<24}function gt(pt,xe){return pt[xe]<<24|pt[xe+1]<<16|pt[xe+2]<<8|pt[xe+3]}class St{constructor(xe,Le){this.TAG="FLVDemuxer",this._config=Le,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=xe.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=xe.hasAudioTrack,this._hasVideo=xe.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new jt,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let Ie=new ArrayBuffer(2);return new DataView(Ie).setInt16(0,256,!0),new Int16Array(Ie)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(xe){let Le=new Uint8Array(xe),Ie={match:!1};if(Le[0]!==70||Le[1]!==76||Le[2]!==86||Le[3]!==1)return Ie;let ze=(Le[4]&4)>>>2!==0,Qe=(Le[4]&1)!==0,xt=gt(Le,5);return xt<9?Ie:{match:!0,consumed:xt,dataOffset:xt,hasAudioTrack:ze,hasVideoTrack:Qe}}bindDataSource(xe){return xe.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(xe){this._onTrackMetadata=xe}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(xe){this._onMediaInfo=xe}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(xe){this._onMetaDataArrived=xe}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(xe){this._onScriptDataArrived=xe}get onError(){return this._onError}set onError(xe){this._onError=xe}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(xe){this._onDataAvailable=xe}get timestampBase(){return this._timestampBase}set timestampBase(xe){this._timestampBase=xe}get overridedDuration(){return this._duration}set overridedDuration(xe){this._durationOverrided=!0,this._duration=xe,this._mediaInfo.duration=xe}set overridedHasAudio(xe){this._hasAudioFlagOverrided=!0,this._hasAudio=xe,this._mediaInfo.hasAudio=xe}set overridedHasVideo(xe){this._hasVideoFlagOverrided=!0,this._hasVideo=xe,this._mediaInfo.hasVideo=xe}resetMediaInfo(){this._mediaInfo=new jt}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(xe,Le){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new Me("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let Ie=0,ze=this._littleEndian;if(Le===0)if(xe.byteLength>13)Ie=St.probe(xe).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,Le+Ie!==this._dataOffset&&Pe.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(xe,Ie).getUint32(0,!ze)!==0&&Pe.w(this.TAG,"PrevTagSize0 !== 0 !!!"),Ie+=4);Iexe.byteLength)break;let xt=Qe.getUint8(0),bt=Qe.getUint32(0,!ze)&16777215;if(Ie+11+bt+4>xe.byteLength)break;if(xt!==8&&xt!==9&&xt!==18){Pe.w(this.TAG,`Unsupported tag type ${xt}, skipped`),Ie+=11+bt+4;continue}let Yt=Qe.getUint8(4),Ht=Qe.getUint8(5),cn=Qe.getUint8(6),dn=Qe.getUint8(7),Zn=cn|Ht<<8|Yt<<16|dn<<24;(Qe.getUint32(7,!ze)&16777215)!==0&&Pe.w(this.TAG,"Meet tag which has StreamID != 0!");let er=Ie+11;switch(xt){case 8:this._parseAudioData(xe,er,bt,Zn);break;case 9:this._parseVideoData(xe,er,bt,Zn,Le+Ie);break;case 18:this._parseScriptData(xe,er,bt);break}let rr=Qe.getUint32(11+bt,!ze);rr!==11+bt&&Pe.w(this.TAG,`Invalid PrevTagSize ${rr}`),Ie+=11+bt+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),Ie}_parseScriptData(xe,Le,Ie){let ze=nn.parseScriptData(xe,Le,Ie);if(ze.hasOwnProperty("onMetaData")){if(ze.onMetaData==null||typeof ze.onMetaData!="object"){Pe.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&Pe.w(this.TAG,"Found another onMetaData tag!"),this._metadata=ze;let Qe=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},Qe)),typeof Qe.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=Qe.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof Qe.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=Qe.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof Qe.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=Qe.audiodatarate),typeof Qe.videodatarate=="number"&&(this._mediaInfo.videoDataRate=Qe.videodatarate),typeof Qe.width=="number"&&(this._mediaInfo.width=Qe.width),typeof Qe.height=="number"&&(this._mediaInfo.height=Qe.height),typeof Qe.duration=="number"){if(!this._durationOverrided){let xt=Math.floor(Qe.duration*this._timescale);this._duration=xt,this._mediaInfo.duration=xt}}else this._mediaInfo.duration=0;if(typeof Qe.framerate=="number"){let xt=Math.floor(Qe.framerate*1e3);if(xt>0){let bt=xt/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=bt,this._referenceFrameRate.fps_num=xt,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=bt}}if(typeof Qe.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let xt=Qe.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(xt),Qe.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=Qe,Pe.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(ze).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},ze))}_parseKeyframesIndex(xe){let Le=[],Ie=[];for(let ze=1;ze>>4;if(Yt!==2&&Yt!==10){this._onError(Tt.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+Yt);return}let Ht=0,cn=(bt&12)>>>2;if(cn>=0&&cn<=4)Ht=this._flvSoundRateTable[cn];else{this._onError(Tt.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+cn);return}let dn=(bt&2)>>>1,Zn=bt&1,Mn=this._audioMetadata,er=this._audioTrack;if(Mn||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),Mn=this._audioMetadata={},Mn.type="audio",Mn.id=er.id,Mn.timescale=this._timescale,Mn.duration=this._duration,Mn.audioSampleRate=Ht,Mn.channelCount=Zn===0?1:2),Yt===10){let rr=this._parseAACAudioData(xe,Le+1,Ie-1);if(rr==null)return;if(rr.packetType===0){Mn.config&&Pe.w(this.TAG,"Found another AudioSpecificConfig!");let mr=rr.data;Mn.audioSampleRate=mr.samplingRate,Mn.channelCount=mr.channelCount,Mn.codec=mr.codec,Mn.originalCodec=mr.originalCodec,Mn.config=mr.config,Mn.refSampleDuration=1024/Mn.audioSampleRate*Mn.timescale,Pe.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",Mn);let pn=this._mediaInfo;pn.audioCodec=Mn.originalCodec,pn.audioSampleRate=Mn.audioSampleRate,pn.audioChannelCount=Mn.channelCount,pn.hasVideo?pn.videoCodec!=null&&(pn.mimeType='video/x-flv; codecs="'+pn.videoCodec+","+pn.audioCodec+'"'):pn.mimeType='video/x-flv; codecs="'+pn.audioCodec+'"',pn.isComplete()&&this._onMediaInfo(pn)}else if(rr.packetType===1){let mr=this._timestampBase+ze,pn={unit:rr.data,length:rr.data.byteLength,dts:mr,pts:mr};er.samples.push(pn),er.length+=rr.data.length}else Pe.e(this.TAG,`Flv: Unsupported AAC data type ${rr.packetType}`)}else if(Yt===2){if(!Mn.codec){let tn=this._parseMP3AudioData(xe,Le+1,Ie-1,!0);if(tn==null)return;Mn.audioSampleRate=tn.samplingRate,Mn.channelCount=tn.channelCount,Mn.codec=tn.codec,Mn.originalCodec=tn.originalCodec,Mn.refSampleDuration=1152/Mn.audioSampleRate*Mn.timescale,Pe.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",Mn);let Tn=this._mediaInfo;Tn.audioCodec=Mn.codec,Tn.audioSampleRate=Mn.audioSampleRate,Tn.audioChannelCount=Mn.channelCount,Tn.audioDataRate=tn.bitRate,Tn.hasVideo?Tn.videoCodec!=null&&(Tn.mimeType='video/x-flv; codecs="'+Tn.videoCodec+","+Tn.audioCodec+'"'):Tn.mimeType='video/x-flv; codecs="'+Tn.audioCodec+'"',Tn.isComplete()&&this._onMediaInfo(Tn)}let rr=this._parseMP3AudioData(xe,Le+1,Ie-1,!1);if(rr==null)return;let mr=this._timestampBase+ze,pn={unit:rr,length:rr.byteLength,dts:mr,pts:mr};er.samples.push(pn),er.length+=rr.length}}_parseAACAudioData(xe,Le,Ie){if(Ie<=1){Pe.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let ze={},Qe=new Uint8Array(xe,Le,Ie);return ze.packetType=Qe[0],Qe[0]===0?ze.data=this._parseAACAudioSpecificConfig(xe,Le+1,Ie-1):ze.data=Qe.subarray(1),ze}_parseAACAudioSpecificConfig(xe,Le,Ie){let ze=new Uint8Array(xe,Le,Ie),Qe=null,xt=0,bt=0,Yt=null,Ht=0,cn=null;if(xt=bt=ze[0]>>>3,Ht=(ze[0]&7)<<1|ze[1]>>>7,Ht<0||Ht>=this._mpegSamplingRates.length){this._onError(Tt.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let dn=this._mpegSamplingRates[Ht],Zn=(ze[1]&120)>>>3;if(Zn<0||Zn>=8){this._onError(Tt.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}xt===5&&(cn=(ze[1]&7)<<1|ze[2]>>>7,Yt=(ze[2]&124)>>>2);let Mn=self.navigator.userAgent.toLowerCase();return Mn.indexOf("firefox")!==-1?Ht>=6?(xt=5,Qe=new Array(4),cn=Ht-3):(xt=2,Qe=new Array(2),cn=Ht):Mn.indexOf("android")!==-1?(xt=2,Qe=new Array(2),cn=Ht):(xt=5,cn=Ht,Qe=new Array(4),Ht>=6?cn=Ht-3:Zn===1&&(xt=2,Qe=new Array(2),cn=Ht)),Qe[0]=xt<<3,Qe[0]|=(Ht&15)>>>1,Qe[1]=(Ht&15)<<7,Qe[1]|=(Zn&15)<<3,xt===5&&(Qe[1]|=(cn&15)>>>1,Qe[2]=(cn&1)<<7,Qe[2]|=8,Qe[3]=0),{config:Qe,samplingRate:dn,channelCount:Zn,codec:"mp4a.40."+xt,originalCodec:"mp4a.40."+bt}}_parseMP3AudioData(xe,Le,Ie,ze){if(Ie<4){Pe.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let Qe=this._littleEndian,xt=new Uint8Array(xe,Le,Ie),bt=null;if(ze){if(xt[0]!==255)return;let Yt=xt[1]>>>3&3,Ht=(xt[1]&6)>>1,cn=(xt[2]&240)>>>4,dn=(xt[2]&12)>>>2,Mn=(xt[3]>>>6&3)!==3?2:1,er=0,rr=0,mr=34,pn="mp3";switch(Yt){case 0:er=this._mpegAudioV25SampleRateTable[dn];break;case 2:er=this._mpegAudioV20SampleRateTable[dn];break;case 3:er=this._mpegAudioV10SampleRateTable[dn];break}switch(Ht){case 1:mr=34,cn>>4,Yt=xt&15;if(Yt!==7){this._onError(Tt.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${Yt}`);return}this._parseAVCVideoPacket(xe,Le+1,Ie-1,ze,Qe,bt)}_parseAVCVideoPacket(xe,Le,Ie,ze,Qe,xt){if(Ie<4){Pe.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let bt=this._littleEndian,Yt=new DataView(xe,Le,Ie),Ht=Yt.getUint8(0),dn=(Yt.getUint32(0,!bt)&16777215)<<8>>8;if(Ht===0)this._parseAVCDecoderConfigurationRecord(xe,Le+4,Ie-4);else if(Ht===1)this._parseAVCVideoData(xe,Le+4,Ie-4,ze,Qe,xt,dn);else if(Ht!==2){this._onError(Tt.FORMAT_ERROR,`Flv: Invalid video packet type ${Ht}`);return}}_parseAVCDecoderConfigurationRecord(xe,Le,Ie){if(Ie<7){Pe.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let ze=this._videoMetadata,Qe=this._videoTrack,xt=this._littleEndian,bt=new DataView(xe,Le,Ie);ze?typeof ze.avcc!="undefined"&&Pe.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),ze=this._videoMetadata={},ze.type="video",ze.id=Qe.id,ze.timescale=this._timescale,ze.duration=this._duration);let Yt=bt.getUint8(0),Ht=bt.getUint8(1),cn=bt.getUint8(2),dn=bt.getUint8(3);if(Yt!==1||Ht===0){this._onError(Tt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(bt.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(Tt.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let Zn=bt.getUint8(5)&31;if(Zn===0){this._onError(Tt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else Zn>1&&Pe.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${Zn}`);let Mn=6;for(let rr=0;rr1&&Pe.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${er}`);Mn++;for(let rr=0;rr=Ie){Pe.w(this.TAG,`Malformed Nalu near timestamp ${er}, offset = ${Zn}, dataSize = ${Ie}`);break}let mr=Ht.getUint32(Zn,!Yt);if(Mn===3&&(mr>>>=8),mr>Ie-Mn){Pe.w(this.TAG,`Malformed Nalus near timestamp ${er}, NaluSize > DataSize!`);return}let pn=Ht.getUint8(Zn+Mn)&31;pn===5&&(rr=!0);let tn=new Uint8Array(xe,Le+Zn,Mn+mr),Tn={type:pn,data:tn};cn.push(Tn),dn+=tn.byteLength,Zn+=Mn+mr}if(cn.length){let mr=this._videoTrack,pn={units:cn,length:dn,isKeyframe:rr,dts:er,cts:bt,pts:er+bt};rr&&(pn.fileposition=Qe),mr.samples.push(pn),mr.length+=dn}}}var Qt=St;class Nt{static init(){Nt.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let Le in Nt.types)Nt.types.hasOwnProperty(Le)&&(Nt.types[Le]=[Le.charCodeAt(0),Le.charCodeAt(1),Le.charCodeAt(2),Le.charCodeAt(3)]);let xe=Nt.constants={};xe.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),xe.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),xe.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),xe.STSC=xe.STCO=xe.STTS,xe.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),xe.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),xe.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),xe.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),xe.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),xe.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(xe){let Le=8,Ie=null,ze=Array.prototype.slice.call(arguments,1),Qe=ze.length;for(let bt=0;bt>>24&255,Ie[1]=Le>>>16&255,Ie[2]=Le>>>8&255,Ie[3]=Le&255,Ie.set(xe,4);let xt=8;for(let bt=0;bt>>24&255,xe>>>16&255,xe>>>8&255,xe&255,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(xe){return Nt.box(Nt.types.trak,Nt.tkhd(xe),Nt.mdia(xe))}static tkhd(xe){let Le=xe.id,Ie=xe.duration,ze=xe.presentWidth,Qe=xe.presentHeight;return Nt.box(Nt.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,0,0,0,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,ze>>>8&255,ze&255,0,0,Qe>>>8&255,Qe&255,0,0]))}static mdia(xe){return Nt.box(Nt.types.mdia,Nt.mdhd(xe),Nt.hdlr(xe),Nt.minf(xe))}static mdhd(xe){let Le=xe.timescale,Ie=xe.duration;return Nt.box(Nt.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255,85,196,0,0]))}static hdlr(xe){let Le=null;return xe.type==="audio"?Le=Nt.constants.HDLR_AUDIO:Le=Nt.constants.HDLR_VIDEO,Nt.box(Nt.types.hdlr,Le)}static minf(xe){let Le=null;return xe.type==="audio"?Le=Nt.box(Nt.types.smhd,Nt.constants.SMHD):Le=Nt.box(Nt.types.vmhd,Nt.constants.VMHD),Nt.box(Nt.types.minf,Le,Nt.dinf(),Nt.stbl(xe))}static dinf(){return Nt.box(Nt.types.dinf,Nt.box(Nt.types.dref,Nt.constants.DREF))}static stbl(xe){return Nt.box(Nt.types.stbl,Nt.stsd(xe),Nt.box(Nt.types.stts,Nt.constants.STTS),Nt.box(Nt.types.stsc,Nt.constants.STSC),Nt.box(Nt.types.stsz,Nt.constants.STSZ),Nt.box(Nt.types.stco,Nt.constants.STCO))}static stsd(xe){return xe.type==="audio"?xe.codec==="mp3"?Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.mp3(xe)):Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.mp4a(xe)):Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.avc1(xe))}static mp3(xe){let Le=xe.channelCount,Ie=xe.audioSampleRate,ze=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Le,0,16,0,0,0,0,Ie>>>8&255,Ie&255,0,0]);return Nt.box(Nt.types[".mp3"],ze)}static mp4a(xe){let Le=xe.channelCount,Ie=xe.audioSampleRate,ze=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Le,0,16,0,0,0,0,Ie>>>8&255,Ie&255,0,0]);return Nt.box(Nt.types.mp4a,ze,Nt.esds(xe))}static esds(xe){let Le=xe.config||[],Ie=Le.length,ze=new Uint8Array([0,0,0,0,3,23+Ie,0,1,0,4,15+Ie,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([Ie]).concat(Le).concat([6,1,2]));return Nt.box(Nt.types.esds,ze)}static avc1(xe){let Le=xe.avcc,Ie=xe.codecWidth,ze=xe.codecHeight,Qe=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Ie>>>8&255,Ie&255,ze>>>8&255,ze&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return Nt.box(Nt.types.avc1,Qe,Nt.box(Nt.types.avcC,Le))}static mvex(xe){return Nt.box(Nt.types.mvex,Nt.trex(xe))}static trex(xe){let Le=xe.id,Ie=new Uint8Array([0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return Nt.box(Nt.types.trex,Ie)}static moof(xe,Le){return Nt.box(Nt.types.moof,Nt.mfhd(xe.sequenceNumber),Nt.traf(xe,Le))}static mfhd(xe){let Le=new Uint8Array([0,0,0,0,xe>>>24&255,xe>>>16&255,xe>>>8&255,xe&255]);return Nt.box(Nt.types.mfhd,Le)}static traf(xe,Le){let Ie=xe.id,ze=Nt.box(Nt.types.tfhd,new Uint8Array([0,0,0,0,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255])),Qe=Nt.box(Nt.types.tfdt,new Uint8Array([0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255])),xt=Nt.sdtp(xe),bt=Nt.trun(xe,xt.byteLength+16+16+8+16+8+8);return Nt.box(Nt.types.traf,ze,Qe,bt,xt)}static sdtp(xe){let Le=xe.samples||[],Ie=Le.length,ze=new Uint8Array(4+Ie);for(let Qe=0;Qe>>24&255,ze>>>16&255,ze>>>8&255,ze&255,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255],0);for(let bt=0;bt>>24&255,Yt>>>16&255,Yt>>>8&255,Yt&255,Ht>>>24&255,Ht>>>16&255,Ht>>>8&255,Ht&255,cn.isLeading<<2|cn.dependsOn,cn.isDependedOn<<6|cn.hasRedundancy<<4|cn.isNonSync,0,0,dn>>>24&255,dn>>>16&255,dn>>>8&255,dn&255],12+16*bt)}return Nt.box(Nt.types.trun,xt)}static mdat(xe){return Nt.box(Nt.types.mdat,xe)}}Nt.init();var Mt=Nt;class rn{static getSilentFrame(xe,Le){if(xe==="mp4a.40.2"){if(Le===1)return new Uint8Array([0,200,0,128,35,128]);if(Le===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(Le===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(Le===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(Le===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(Le===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(Le===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Le===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Le===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var On=rn;class zn{constructor(xe,Le,Ie,ze,Qe){this.dts=xe,this.pts=Le,this.duration=Ie,this.originalDts=ze,this.isSyncPoint=Qe,this.fileposition=null}}class Gn{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(xe){xe.isSyncPoint=!0,this.syncPoints.push(xe)}}class nr{constructor(){this._list=[]}clear(){this._list=[]}appendArray(xe){let Le=this._list;xe.length!==0&&(Le.length>0&&xe[0].originalDts=Le[Qe].dts&&xeLe[ze].lastSample.originalDts&&xe=Le[ze].lastSample.originalDts&&(ze===Le.length-1||ze0&&(Qe=this._searchNearestSegmentBefore(Ie.originalBeginDts)+1),this._lastAppendLocation=Qe,this._list.splice(Qe,0,Ie)}getLastSegmentBefore(xe){let Le=this._searchNearestSegmentBefore(xe);return Le>=0?this._list[Le]:null}getLastSampleBefore(xe){let Le=this.getLastSegmentBefore(xe);return Le!=null?Le.lastSample:null}getLastSyncPointBefore(xe){let Le=this._searchNearestSegmentBefore(xe),Ie=this._list[Le].syncPoints;for(;Ie.length===0&&Le>0;)Le--,Ie=this._list[Le].syncPoints;return Ie.length>0?Ie[Ie.length-1]:null}}class $t{constructor(xe){this.TAG="MP4Remuxer",this._config=xe,this._isLive=xe.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new Xn("audio"),this._videoSegmentInfoList=new Xn("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661)),this._fillSilentAfterSeek=oe.msedge||oe.msie,this._mp3UseMpegAudio=!oe.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(xe){return xe.onDataAvailable=this.remux.bind(this),xe.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(xe){this._onInitSegment=xe}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(xe){this._onMediaSegment=xe}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(xe){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(xe,Le){if(!this._onMediaSegment)throw new Me("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(xe,Le),this._remuxVideo(Le),this._remuxAudio(xe)}_onTrackMetadataReceived(xe,Le){let Ie=null,ze="mp4",Qe=Le.codec;if(xe==="audio")this._audioMeta=Le,Le.codec==="mp3"&&this._mp3UseMpegAudio?(ze="mpeg",Qe="",Ie=new Uint8Array):Ie=Mt.generateInitSegment(Le);else if(xe==="video")this._videoMeta=Le,Ie=Mt.generateInitSegment(Le);else return;if(!this._onInitSegment)throw new Me("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(xe,{type:xe,data:Ie.buffer,codec:Qe,container:`${xe}/${ze}`,mediaDuration:Le.duration})}_calculateDtsBase(xe,Le){this._dtsBaseInited||(xe.samples&&xe.samples.length&&(this._audioDtsBase=xe.samples[0].dts),Le.samples&&Le.samples.length&&(this._videoDtsBase=Le.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let xe=this._videoStashedLastSample,Le=this._audioStashedLastSample,Ie={type:"video",id:1,sequenceNumber:0,samples:[],length:0};xe!=null&&(Ie.samples.push(xe),Ie.length=xe.length);let ze={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};Le!=null&&(ze.samples.push(Le),ze.length=Le.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(Ie,!0),this._remuxAudio(ze,!0)}_remuxAudio(xe,Le){if(this._audioMeta==null)return;let Ie=xe,ze=Ie.samples,Qe,xt=-1,bt=-1,Yt=-1,Ht=this._audioMeta.refSampleDuration,cn=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,dn=this._dtsBaseInited&&this._audioNextDts===void 0,Zn=!1;if(!ze||ze.length===0||ze.length===1&&!Le)return;let Mn=0,er=null,rr=0;cn?(Mn=0,rr=Ie.length):(Mn=8,rr=8+Ie.length);let mr=null;if(ze.length>1&&(mr=ze.pop(),rr-=mr.length),this._audioStashedLastSample!=null){let tr=this._audioStashedLastSample;this._audioStashedLastSample=null,ze.unshift(tr),rr+=tr.length}mr!=null&&(this._audioStashedLastSample=mr);let pn=ze[0].dts-this._dtsBase;if(this._audioNextDts)Qe=pn-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())Qe=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(Zn=!0);else{let tr=this._audioSegmentInfoList.getLastSampleBefore(pn);if(tr!=null){let hr=pn-(tr.originalDts+tr.duration);hr<=3&&(hr=0);let vr=tr.dts+tr.duration+hr;Qe=pn-vr}else Qe=0}if(Zn){let tr=pn-Qe,hr=this._videoSegmentInfoList.getLastSegmentBefore(pn);if(hr!=null&&hr.beginDts=1?Jn=tn[tn.length-1].duration:Jn=Math.floor(Ht);let Nr=!1,Xa=null;if(Jn>Ht*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!oe.safari){Nr=!0;let $a=Math.abs(Jn-Ht),ai=Math.ceil($a/Ht),Zr=xr+Ht;Pe.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync. +dts: ${xr+Jn} ms, expected: ${xr+Math.round(Ht)} ms, delta: ${Math.round($a)} ms, generate: ${ai} frames`);let ca=On.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);ca==null&&(Pe.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),ca=vr),Xa=[];for(let sa=0;sa0){let Na=Xa[Xa.length-1];Na.duration=Ja-Na.dts}let Li={dts:Ja,pts:Ja,cts:0,unit:ca,size:ca.byteLength,duration:0,originalDts:Bn,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};Xa.push(Li),rr+=Li.size,Zr+=Ht}let Da=Xa[Xa.length-1];Da.duration=xr+Jn-Da.dts,Jn=Math.round(Ht)}tn.push({dts:xr,pts:xr,cts:0,unit:hr.unit,size:hr.unit.byteLength,duration:Jn,originalDts:Bn,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),Nr&&tn.push.apply(tn,Xa)}cn?er=new Uint8Array(rr):(er=new Uint8Array(rr),er[0]=rr>>>24&255,er[1]=rr>>>16&255,er[2]=rr>>>8&255,er[3]=rr&255,er.set(Mt.types.mdat,4));for(let tr=0;tr1&&(Mn=ze.pop(),Zn-=Mn.length),this._videoStashedLastSample!=null){let Tn=this._videoStashedLastSample;this._videoStashedLastSample=null,ze.unshift(Tn),Zn+=Tn.length}Mn!=null&&(this._videoStashedLastSample=Mn);let er=ze[0].dts-this._dtsBase;if(this._videoNextDts)Qe=er-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())Qe=0;else{let Tn=this._videoSegmentInfoList.getLastSampleBefore(er);if(Tn!=null){let Hn=er-(Tn.originalDts+Tn.duration);Hn<=3&&(Hn=0);let fr=Tn.dts+Tn.duration+Hn;Qe=er-fr}else Qe=0}let rr=new Gn,mr=[];for(let Tn=0;Tn=1?Bn=mr[mr.length-1].duration:Bn=Math.floor(this._videoMeta.refSampleDuration),br){let xr=new zn(tr,vr,Bn,Hn.dts,!0);xr.fileposition=Hn.fileposition,rr.appendSyncPoint(xr)}mr.push({dts:tr,pts:vr,cts:hr,units:Hn.units,size:Hn.length,isKeyframe:br,duration:Bn,originalDts:fr,flags:{isLeading:0,dependsOn:br?2:1,isDependedOn:br?1:0,hasRedundancy:0,isNonSync:br?0:1}})}dn=new Uint8Array(Zn),dn[0]=Zn>>>24&255,dn[1]=Zn>>>16&255,dn[2]=Zn>>>8&255,dn[3]=Zn&255,dn.set(Mt.types.mdat,4);for(let Tn=0;Tn{ze.timestampBase=Ie,Ie+=ze.duration,ze.cors=xe.cors,ze.withCredentials=xe.withCredentials,Le.referrerPolicy&&(ze.referrerPolicy=Le.referrerPolicy)}),!isNaN(Ie)&&this._mediaDataSource.duration!==Ie&&(this._mediaDataSource.duration=Ie),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(xe,Le){this._emitter.addListener(xe,Le)}off(xe,Le){this._emitter.removeListener(xe,Le)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(xe,Le){this._currentSegmentIndex=xe;let Ie=this._mediaDataSource.segments[xe],ze=this._ioctl=new qe(Ie,this._config,xe);ze.onError=this._onIOException.bind(this),ze.onSeeked=this._onIOSeeked.bind(this),ze.onComplete=this._onIOComplete.bind(this),ze.onRedirect=this._onIORedirect.bind(this),ze.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),Le?this._demuxer.bindDataSource(this._ioctl):ze.onDataArrival=this._onInitChunkArrival.bind(this),ze.open(Le)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(xe){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let Le=this._searchSegmentIndexContains(xe);if(Le===this._currentSegmentIndex){let Ie=this._mediaInfo.segments[Le];if(Ie==null)this._pendingSeekTime=xe;else{let ze=Ie.getNearestKeyframe(xe);this._remuxer.seek(ze.milliseconds),this._ioctl.seek(ze.fileposition),this._pendingResolveSeekPoint=ze.milliseconds}}else{let Ie=this._mediaInfo.segments[Le];if(Ie==null)this._pendingSeekTime=xe,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(Le);else{let ze=Ie.getNearestKeyframe(xe);this._internalAbort(),this._remuxer.seek(xe),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[Le].timestampBase,this._loadSegment(Le,ze.fileposition),this._pendingResolveSeekPoint=ze.milliseconds,this._reportSegmentMediaInfo(Le)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(xe){let Le=this._mediaDataSource.segments,Ie=Le.length-1;for(let ze=0;ze0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,ze=this._demuxer.parseChunks(xe,Le);else if((Ie=Qt.probe(xe)).match){this._demuxer=new Qt(Ie,this._config),this._remuxer||(this._remuxer=new gn(this._config));let Qe=this._mediaDataSource;Qe.duration!=null&&!isNaN(Qe.duration)&&(this._demuxer.overridedDuration=Qe.duration),typeof Qe.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=Qe.hasAudio),typeof Qe.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=Qe.hasVideo),this._demuxer.timestampBase=Qe.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),ze=this._demuxer.parseChunks(xe,Le)}else Ie=null,Pe.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(Ln.DEMUX_ERROR,Tt.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),ze=0;return ze}_onMediaInfo(xe){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},xe),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,jt.prototype));let Le=Object.assign({},xe);Object.setPrototypeOf(Le,jt.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=Le,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let Ie=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(Ie)})}_onMetaDataArrived(xe){this._emitter.emit(Ln.METADATA_ARRIVED,xe)}_onScriptDataArrived(xe){this._emitter.emit(Ln.SCRIPTDATA_ARRIVED,xe)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(xe){let Ie=xe+1;Ie0&&Ie[0].originalDts===ze&&(ze=Ie[0].pts),this._emitter.emit(Ln.RECOMMEND_SEEKPOINT,ze)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(xe){let Le=this._mediaInfo.segments[xe],Ie=Object.assign({},Le);Ie.duration=this._mediaInfo.duration,Ie.segmentCount=this._mediaInfo.segmentCount,delete Ie.segments,delete Ie.keyframesIndex,this._emitter.emit(Ln.MEDIA_INFO,Ie)}_reportStatisticsInfo(){let xe={};xe.url=this._ioctl.currentURL,xe.hasRedirect=this._ioctl.hasRedirect,xe.hasRedirect&&(xe.redirectedURL=this._ioctl.currentRedirectedURL),xe.speed=this._ioctl.currentSpeed,xe.loaderType=this._ioctl.loaderType,xe.currentSegmentIndex=this._currentSegmentIndex,xe.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(Ln.STATISTICS_INFO,xe)}}var Ur=Sr,Gr=function(pt){let xe="TransmuxingWorker",Le=null,Ie=rr.bind(this);Ve.install(),pt.addEventListener("message",function(mr){switch(mr.data.cmd){case"init":Le=new Ur(mr.data.param[0],mr.data.param[1]),Le.on(Ln.IO_ERROR,Zn.bind(this)),Le.on(Ln.DEMUX_ERROR,Mn.bind(this)),Le.on(Ln.INIT_SEGMENT,ze.bind(this)),Le.on(Ln.MEDIA_SEGMENT,Qe.bind(this)),Le.on(Ln.LOADING_COMPLETE,xt.bind(this)),Le.on(Ln.RECOVERED_EARLY_EOF,bt.bind(this)),Le.on(Ln.MEDIA_INFO,Yt.bind(this)),Le.on(Ln.METADATA_ARRIVED,Ht.bind(this)),Le.on(Ln.SCRIPTDATA_ARRIVED,cn.bind(this)),Le.on(Ln.STATISTICS_INFO,dn.bind(this)),Le.on(Ln.RECOMMEND_SEEKPOINT,er.bind(this));break;case"destroy":Le&&(Le.destroy(),Le=null),pt.postMessage({msg:"destroyed"});break;case"start":Le.start();break;case"stop":Le.stop();break;case"seek":Le.seek(mr.data.param);break;case"pause":Le.pause();break;case"resume":Le.resume();break;case"logging_config":{let pn=mr.data.param;ht.applyConfig(pn),pn.enableCallback===!0?ht.addLogListener(Ie):ht.removeLogListener(Ie);break}}});function ze(mr,pn){let tn={msg:Ln.INIT_SEGMENT,data:{type:mr,data:pn}};pt.postMessage(tn,[pn.data])}function Qe(mr,pn){let tn={msg:Ln.MEDIA_SEGMENT,data:{type:mr,data:pn}};pt.postMessage(tn,[pn.data])}function xt(){let mr={msg:Ln.LOADING_COMPLETE};pt.postMessage(mr)}function bt(){let mr={msg:Ln.RECOVERED_EARLY_EOF};pt.postMessage(mr)}function Yt(mr){let pn={msg:Ln.MEDIA_INFO,data:mr};pt.postMessage(pn)}function Ht(mr){let pn={msg:Ln.METADATA_ARRIVED,data:mr};pt.postMessage(pn)}function cn(mr){let pn={msg:Ln.SCRIPTDATA_ARRIVED,data:mr};pt.postMessage(pn)}function dn(mr){let pn={msg:Ln.STATISTICS_INFO,data:mr};pt.postMessage(pn)}function Zn(mr,pn){pt.postMessage({msg:Ln.IO_ERROR,data:{type:mr,info:pn}})}function Mn(mr,pn){pt.postMessage({msg:Ln.DEMUX_ERROR,data:{type:mr,info:pn}})}function er(mr){pt.postMessage({msg:Ln.RECOMMEND_SEEKPOINT,data:mr})}function rr(mr,pn){pt.postMessage({msg:"logcat_callback",data:{type:mr,logcat:pn}})}};class ma{constructor(xe,Le){if(this.TAG="Transmuxer",this._emitter=new(Ce()),Le.enableWorker&&typeof Worker!="undefined")try{let Ie=Oe(82059);this._worker=Ie(Gr),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[xe,Le]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},ht.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:ht.getConfig()})}catch(Ie){Pe.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new Ur(xe,Le)}else this._controller=new Ur(xe,Le);if(this._controller){let Ie=this._controller;Ie.on(Ln.IO_ERROR,this._onIOError.bind(this)),Ie.on(Ln.DEMUX_ERROR,this._onDemuxError.bind(this)),Ie.on(Ln.INIT_SEGMENT,this._onInitSegment.bind(this)),Ie.on(Ln.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),Ie.on(Ln.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),Ie.on(Ln.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),Ie.on(Ln.MEDIA_INFO,this._onMediaInfo.bind(this)),Ie.on(Ln.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),Ie.on(Ln.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),Ie.on(Ln.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),Ie.on(Ln.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),ht.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(xe,Le){this._emitter.addListener(xe,Le)}off(xe,Le){this._emitter.removeListener(xe,Le)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(xe){this._worker?this._worker.postMessage({cmd:"seek",param:xe}):this._controller.seek(xe)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(xe,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.INIT_SEGMENT,xe,Le)})}_onMediaSegment(xe,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.MEDIA_SEGMENT,xe,Le)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(Ln.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(Ln.RECOVERED_EARLY_EOF)})}_onMediaInfo(xe){Promise.resolve().then(()=>{this._emitter.emit(Ln.MEDIA_INFO,xe)})}_onMetaDataArrived(xe){Promise.resolve().then(()=>{this._emitter.emit(Ln.METADATA_ARRIVED,xe)})}_onScriptDataArrived(xe){Promise.resolve().then(()=>{this._emitter.emit(Ln.SCRIPTDATA_ARRIVED,xe)})}_onStatisticsInfo(xe){Promise.resolve().then(()=>{this._emitter.emit(Ln.STATISTICS_INFO,xe)})}_onIOError(xe,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.IO_ERROR,xe,Le)})}_onDemuxError(xe,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.DEMUX_ERROR,xe,Le)})}_onRecommendSeekpoint(xe){Promise.resolve().then(()=>{this._emitter.emit(Ln.RECOMMEND_SEEKPOINT,xe)})}_onLoggingConfigChanged(xe){this._worker&&this._worker.postMessage({cmd:"logging_config",param:xe})}_onWorkerMessage(xe){let Le=xe.data,Ie=Le.data;if(Le.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(Le.msg){case Ln.INIT_SEGMENT:case Ln.MEDIA_SEGMENT:this._emitter.emit(Le.msg,Ie.type,Ie.data);break;case Ln.LOADING_COMPLETE:case Ln.RECOVERED_EARLY_EOF:this._emitter.emit(Le.msg);break;case Ln.MEDIA_INFO:Object.setPrototypeOf(Ie,jt.prototype),this._emitter.emit(Le.msg,Ie);break;case Ln.METADATA_ARRIVED:case Ln.SCRIPTDATA_ARRIVED:case Ln.STATISTICS_INFO:this._emitter.emit(Le.msg,Ie);break;case Ln.IO_ERROR:case Ln.DEMUX_ERROR:this._emitter.emit(Le.msg,Ie.type,Ie.info);break;case Ln.RECOMMEND_SEEKPOINT:this._emitter.emit(Le.msg,Ie);break;case"logcat_callback":Pe.emitter.emit("log",Ie.type,Ie.logcat);break;default:break}}}var Oa=ma,Ma={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class li{constructor(xe){this.TAG="MSEController",this._config=xe,this._emitter=new(Ce()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new nr}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(xe,Le){this._emitter.addListener(xe,Le)}off(xe,Le){this._emitter.removeListener(xe,Le)}attachMediaElement(xe){if(this._mediaSource)throw new Me("MediaSource has been attached to an HTMLMediaElement!");let Le=this._mediaSource=new window.MediaSource;Le.addEventListener("sourceopen",this.e.onSourceOpen),Le.addEventListener("sourceended",this.e.onSourceEnded),Le.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=xe,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),xe.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let xe=this._mediaSource;for(let Le in this._sourceBuffers){let Ie=this._pendingSegments[Le];Ie.splice(0,Ie.length),this._pendingSegments[Le]=null,this._pendingRemoveRanges[Le]=null,this._lastInitSegments[Le]=null;let ze=this._sourceBuffers[Le];if(ze){if(xe.readyState!=="closed"){try{xe.removeSourceBuffer(ze)}catch(Qe){Pe.e(this.TAG,Qe.message)}ze.removeEventListener("error",this.e.onSourceBufferError),ze.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[Le]=null,this._sourceBuffers[Le]=null}}if(xe.readyState==="open")try{xe.endOfStream()}catch(Le){Pe.e(this.TAG,Le.message)}xe.removeEventListener("sourceopen",this.e.onSourceOpen),xe.removeEventListener("sourceended",this.e.onSourceEnded),xe.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(xe,Le){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(xe),this._pendingSegments[xe.type].push(xe);return}let Ie=xe,ze=`${Ie.container}`;Ie.codec&&Ie.codec.length>0&&(ze+=`;codecs=${Ie.codec}`);let Qe=!1;if(Pe.v(this.TAG,"Received Initialization Segment, mimeType: "+ze),this._lastInitSegments[Ie.type]=Ie,ze!==this._mimeTypes[Ie.type]){if(this._mimeTypes[Ie.type])Pe.v(this.TAG,`Notice: ${Ie.type} mimeType changed, origin: ${this._mimeTypes[Ie.type]}, target: ${ze}`);else{Qe=!0;try{let xt=this._sourceBuffers[Ie.type]=this._mediaSource.addSourceBuffer(ze);xt.addEventListener("error",this.e.onSourceBufferError),xt.addEventListener("updateend",this.e.onSourceBufferUpdateEnd)}catch(xt){Pe.e(this.TAG,xt.message),this._emitter.emit(Ma.ERROR,{code:xt.code,msg:xt.message});return}}this._mimeTypes[Ie.type]=ze}Le||this._pendingSegments[Ie.type].push(Ie),Qe||this._sourceBuffers[Ie.type]&&!this._sourceBuffers[Ie.type].updating&&this._doAppendSegments(),oe.safari&&Ie.container==="audio/mpeg"&&Ie.mediaDuration>0&&(this._requireSetMediaDuration=!0,this._pendingMediaDuration=Ie.mediaDuration/1e3,this._updateMediaSourceDuration())}appendMediaSegment(xe){let Le=xe;this._pendingSegments[Le.type].push(Le),this._config.autoCleanupSourceBuffer&&this._needCleanupSourceBuffer()&&this._doCleanupSourceBuffer();let Ie=this._sourceBuffers[Le.type];Ie&&!Ie.updating&&!this._hasPendingRemoveRanges()&&this._doAppendSegments()}seek(xe){for(let Le in this._sourceBuffers){if(!this._sourceBuffers[Le])continue;let Ie=this._sourceBuffers[Le];if(this._mediaSource.readyState==="open")try{Ie.abort()}catch(Qe){Pe.e(this.TAG,Qe.message)}this._idrList.clear();let ze=this._pendingSegments[Le];if(ze.splice(0,ze.length),this._mediaSource.readyState!=="closed"){for(let Qe=0;Qe=1&&xe-ze.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let xe=this._mediaElement.currentTime;for(let Le in this._sourceBuffers){let Ie=this._sourceBuffers[Le];if(Ie){let ze=Ie.buffered,Qe=!1;for(let xt=0;xt=this._config.autoCleanupMaxBackwardDuration){Qe=!0;let Ht=xe-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[Le].push({start:bt,end:Ht})}}else Yt0&&(isNaN(Le)||Ie>Le)&&(Pe.v(this.TAG,`Update MediaSource duration from ${Le} to ${Ie}`),this._mediaSource.duration=Ie),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let xe in this._pendingRemoveRanges){if(!this._sourceBuffers[xe]||this._sourceBuffers[xe].updating)continue;let Le=this._sourceBuffers[xe],Ie=this._pendingRemoveRanges[xe];for(;Ie.length&&!Le.updating;){let ze=Ie.shift();Le.remove(ze.start,ze.end)}}}_doAppendSegments(){let xe=this._pendingSegments;for(let Le in xe)if(!(!this._sourceBuffers[Le]||this._sourceBuffers[Le].updating)&&xe[Le].length>0){let Ie=xe[Le].shift();if(Ie.timestampOffset){let ze=this._sourceBuffers[Le].timestampOffset,Qe=Ie.timestampOffset/1e3;Math.abs(ze-Qe)>.1&&(Pe.v(this.TAG,`Update MPEG audio timestampOffset from ${ze} to ${Qe}`),this._sourceBuffers[Le].timestampOffset=Qe),delete Ie.timestampOffset}if(!Ie.data||Ie.data.byteLength===0)continue;try{this._sourceBuffers[Le].appendBuffer(Ie.data),this._isBufferFull=!1,Le==="video"&&Ie.hasOwnProperty("info")&&this._idrList.appendArray(Ie.info.syncPoints)}catch(ze){this._pendingSegments[Le].unshift(Ie),ze.code===22?(this._isBufferFull||this._emitter.emit(Ma.BUFFER_FULL),this._isBufferFull=!0):(Pe.e(this.TAG,ze.message),this._emitter.emit(Ma.ERROR,{code:ze.code,msg:ze.message}))}}}_onSourceOpen(){if(Pe.v(this.TAG,"MediaSource onSourceOpen"),this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._pendingSourceBufferInit.length>0){let xe=this._pendingSourceBufferInit;for(;xe.length;){let Le=xe.shift();this.appendInitSegment(Le,!0)}}this._hasPendingSegments()&&this._doAppendSegments(),this._emitter.emit(Ma.SOURCE_OPEN)}_onSourceEnded(){Pe.v(this.TAG,"MediaSource onSourceEnded")}_onSourceClose(){Pe.v(this.TAG,"MediaSource onSourceClose"),this._mediaSource&&this.e!=null&&(this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._mediaSource.removeEventListener("sourceended",this.e.onSourceEnded),this._mediaSource.removeEventListener("sourceclose",this.e.onSourceClose))}_hasPendingSegments(){let xe=this._pendingSegments;return xe.video.length>0||xe.audio.length>0}_hasPendingRemoveRanges(){let xe=this._pendingRemoveRanges;return xe.video.length>0||xe.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(Ma.UPDATE_END)}_onSourceBufferError(xe){Pe.e(this.TAG,`SourceBuffer Error: ${xe}`)}}var di=li;const Hr={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},Ta={NETWORK_EXCEPTION:ce.EXCEPTION,NETWORK_STATUS_CODE_INVALID:ce.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:ce.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:ce.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:Tt.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:Tt.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:Tt.CODEC_UNSUPPORTED};class Ha{constructor(xe,Le){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(Ce()),this._config=it(),typeof Le=="object"&&Object.assign(this._config,Le),xe.type.toLowerCase()!=="flv")throw new pe("FlvPlayer requires an flv MediaDataSource input!");xe.isLive===!0&&(this._config.isLive=!0),this.e={onvLoadedMetadata:this._onvLoadedMetadata.bind(this),onvSeeking:this._onvSeeking.bind(this),onvCanPlay:this._onvCanPlay.bind(this),onvStalled:this._onvStalled.bind(this),onvProgress:this._onvProgress.bind(this)},self.performance&&self.performance.now?this._now=self.performance.now.bind(self.performance):this._now=Date.now,this._pendingSeekTime=null,this._requestSetTime=!1,this._seekpointRecord=null,this._progressChecker=null,this._mediaDataSource=xe,this._mediaElement=null,this._msectl=null,this._transmuxer=null,this._mseSourceOpened=!1,this._hasPendingLoad=!1,this._receivedCanPlay=!1,this._mediaInfo=null,this._statisticsInfo=null;let Ie=oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661);this._alwaysSeekKeyframe=!!(Ie||oe.msedge||oe.msie),this._alwaysSeekKeyframe&&(this._config.accurateSeek=!1)}destroy(){this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._transmuxer&&this.unload(),this._mediaElement&&this.detachMediaElement(),this.e=null,this._mediaDataSource=null,this._emitter.removeAllListeners(),this._emitter=null}on(xe,Le){xe===At.MEDIA_INFO?this._mediaInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(At.MEDIA_INFO,this.mediaInfo)}):xe===At.STATISTICS_INFO&&this._statisticsInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(At.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(xe,Le)}off(xe,Le){this._emitter.removeListener(xe,Le)}attachMediaElement(xe){if(this._mediaElement=xe,xe.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),xe.addEventListener("seeking",this.e.onvSeeking),xe.addEventListener("canplay",this.e.onvCanPlay),xe.addEventListener("stalled",this.e.onvStalled),xe.addEventListener("progress",this.e.onvProgress),this._msectl=new di(this._config),this._msectl.on(Ma.UPDATE_END,this._onmseUpdateEnd.bind(this)),this._msectl.on(Ma.BUFFER_FULL,this._onmseBufferFull.bind(this)),this._msectl.on(Ma.SOURCE_OPEN,()=>{this._mseSourceOpened=!0,this._hasPendingLoad&&(this._hasPendingLoad=!1,this.load())}),this._msectl.on(Ma.ERROR,Le=>{this._emitter.emit(At.ERROR,Hr.MEDIA_ERROR,Ta.MEDIA_MSE_ERROR,Le)}),this._msectl.attachMediaElement(xe),this._pendingSeekTime!=null)try{xe.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(Le){}}detachMediaElement(){this._mediaElement&&(this._msectl.detachMediaElement(),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement.removeEventListener("seeking",this.e.onvSeeking),this._mediaElement.removeEventListener("canplay",this.e.onvCanPlay),this._mediaElement.removeEventListener("stalled",this.e.onvStalled),this._mediaElement.removeEventListener("progress",this.e.onvProgress),this._mediaElement=null),this._msectl&&(this._msectl.destroy(),this._msectl=null)}load(){if(!this._mediaElement)throw new Me("HTMLMediaElement must be attached before load()!");if(this._transmuxer)throw new Me("FlvPlayer.load() has been called, please call unload() first!");if(!this._hasPendingLoad){if(this._config.deferLoadAfterSourceOpen&&this._mseSourceOpened===!1){this._hasPendingLoad=!0;return}this._mediaElement.readyState>0&&(this._requestSetTime=!0,this._mediaElement.currentTime=0),this._transmuxer=new Oa(this._mediaDataSource,this._config),this._transmuxer.on(Ln.INIT_SEGMENT,(xe,Le)=>{this._msectl.appendInitSegment(Le)}),this._transmuxer.on(Ln.MEDIA_SEGMENT,(xe,Le)=>{if(this._msectl.appendMediaSegment(Le),this._config.lazyLoad&&!this._config.isLive){let Ie=this._mediaElement.currentTime;Le.info.endDts>=(Ie+this._config.lazyLoadMaxDuration)*1e3&&this._progressChecker==null&&(Pe.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}}),this._transmuxer.on(Ln.LOADING_COMPLETE,()=>{this._msectl.endOfStream(),this._emitter.emit(At.LOADING_COMPLETE)}),this._transmuxer.on(Ln.RECOVERED_EARLY_EOF,()=>{this._emitter.emit(At.RECOVERED_EARLY_EOF)}),this._transmuxer.on(Ln.IO_ERROR,(xe,Le)=>{this._emitter.emit(At.ERROR,Hr.NETWORK_ERROR,xe,Le)}),this._transmuxer.on(Ln.DEMUX_ERROR,(xe,Le)=>{this._emitter.emit(At.ERROR,Hr.MEDIA_ERROR,xe,{code:-1,msg:Le})}),this._transmuxer.on(Ln.MEDIA_INFO,xe=>{this._mediaInfo=xe,this._emitter.emit(At.MEDIA_INFO,Object.assign({},xe))}),this._transmuxer.on(Ln.METADATA_ARRIVED,xe=>{this._emitter.emit(At.METADATA_ARRIVED,xe)}),this._transmuxer.on(Ln.SCRIPTDATA_ARRIVED,xe=>{this._emitter.emit(At.SCRIPTDATA_ARRIVED,xe)}),this._transmuxer.on(Ln.STATISTICS_INFO,xe=>{this._statisticsInfo=this._fillStatisticsInfo(xe),this._emitter.emit(At.STATISTICS_INFO,Object.assign({},this._statisticsInfo))}),this._transmuxer.on(Ln.RECOMMEND_SEEKPOINT,xe=>{this._mediaElement&&!this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=xe/1e3)}),this._transmuxer.open()}}unload(){this._mediaElement&&this._mediaElement.pause(),this._msectl&&this._msectl.seek(0),this._transmuxer&&(this._transmuxer.close(),this._transmuxer.destroy(),this._transmuxer=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(xe){this._mediaElement.volume=xe}get muted(){return this._mediaElement.muted}set muted(xe){this._mediaElement.muted=xe}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(xe){this._mediaElement?this._internalSeek(xe):this._pendingSeekTime=xe}get mediaInfo(){return Object.assign({},this._mediaInfo)}get statisticsInfo(){return this._statisticsInfo==null&&(this._statisticsInfo={}),this._statisticsInfo=this._fillStatisticsInfo(this._statisticsInfo),Object.assign({},this._statisticsInfo)}_fillStatisticsInfo(xe){if(xe.playerType=this._type,!(this._mediaElement instanceof HTMLVideoElement))return xe;let Le=!0,Ie=0,ze=0;if(this._mediaElement.getVideoPlaybackQuality){let Qe=this._mediaElement.getVideoPlaybackQuality();Ie=Qe.totalVideoFrames,ze=Qe.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(Ie=this._mediaElement.webkitDecodedFrameCount,ze=this._mediaElement.webkitDroppedFrameCount):Le=!1;return Le&&(xe.decodedFrames=Ie,xe.droppedFrames=ze),xe}_onmseUpdateEnd(){if(!this._config.lazyLoad||this._config.isLive)return;let xe=this._mediaElement.buffered,Le=this._mediaElement.currentTime,Ie=0,ze=0;for(let Qe=0;Qe=Le+this._config.lazyLoadMaxDuration&&this._progressChecker==null&&(Pe.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}_onmseBufferFull(){Pe.v(this.TAG,"MSE SourceBuffer is full, suspend transmuxing task"),this._progressChecker==null&&this._suspendTransmuxer()}_suspendTransmuxer(){this._transmuxer&&(this._transmuxer.pause(),this._progressChecker==null&&(this._progressChecker=window.setInterval(this._checkProgressAndResume.bind(this),1e3)))}_checkProgressAndResume(){let 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Le&&(xe.decodedFrames=Ie,xe.droppedFrames=ze),xe}_onvLoadedMetadata(xe){this._pendingSeekTime!=null&&(this._mediaElement.currentTime=this._pendingSeekTime,this._pendingSeekTime=null),this._emitter.emit(At.MEDIA_INFO,this.mediaInfo)}_reportStatisticsInfo(){this._emitter.emit(At.STATISTICS_INFO,this.statisticsInfo)}}var Qa=pr;Ve.install();function hn(pt,xe){let Le=pt;if(Le==null||typeof Le!="object")throw new pe("MediaDataSource must be an javascript object!");if(!Le.hasOwnProperty("type"))throw new pe("MediaDataSource must has type field to indicate video file type!");switch(Le.type){case"flv":return new sr(Le,xe);default:return new Qa(Le,xe)}}function kn(){return nt.supportMSEH264Playback()}function ar(){return nt.getFeatureList()}let 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xe(Ie).rightShift(ze)},pt.prototype.zeroFillRightShift=pt.prototype.rightShift,pt.prototype.zeroFillRightShiftS=pt.prototype.rightShiftS,pt.prototype.zeroFillRightShiftM=pt.prototype.rightShiftM,pt.zeroFillRightShift=pt.rightShift,pt.prototype.not=function(){for(let Ie=0;IeIe)throw new RangeError("Row index out of range")}function Ne(pt,xe,Le){let Ie=Le?pt.columns:pt.columns-1;if(xe<0||xe>Ie)throw new RangeError("Column index out of range")}function Be(pt,xe){if(xe.to1DArray&&(xe=xe.to1DArray()),xe.length!==pt.columns)throw new RangeError("vector size must be the same as the number of columns");return xe}function We(pt,xe){if(xe.to1DArray&&(xe=xe.to1DArray()),xe.length!==pt.rows)throw new RangeError("vector size must be the same as the number of rows");return xe}function Ge(pt,xe){if(!te.isAnyArray(xe))throw new TypeError("row indices must be an array");for(let Le=0;Le=pt.rows)throw new RangeError("row indices are out of range")}function Xe(pt,xe){if(!te.isAnyArray(xe))throw new 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Ie=1;Ie=1;ze/=2)ze&1&&(Le=Le.mmul(Ie)),Ie=Ie.mmul(Ie);return Le}strassen2x2(xe){xe=yt.checkMatrix(xe);let Le=new yt(2,2);const Ie=this.get(0,0),ze=xe.get(0,0),Qe=this.get(0,1),xt=xe.get(0,1),bt=this.get(1,0),Yt=xe.get(1,0),Ht=this.get(1,1),cn=xe.get(1,1),dn=(Ie+Ht)*(ze+cn),Zn=(bt+Ht)*ze,Mn=Ie*(xt-cn),er=Ht*(Yt-ze),rr=(Ie+Qe)*cn,mr=(bt-Ie)*(ze+xt),pn=(Qe-Ht)*(Yt+cn),tn=dn+er-rr+pn,Tn=Mn+rr,Hn=Zn+er,fr=dn-Zn+Mn+mr;return Le.set(0,0,tn),Le.set(0,1,Tn),Le.set(1,0,Hn),Le.set(1,1,fr),Le}strassen3x3(xe){xe=yt.checkMatrix(xe);let Le=new yt(3,3);const Ie=this.get(0,0),ze=this.get(0,1),Qe=this.get(0,2),xt=this.get(1,0),bt=this.get(1,1),Yt=this.get(1,2),Ht=this.get(2,0),cn=this.get(2,1),dn=this.get(2,2),Zn=xe.get(0,0),Mn=xe.get(0,1),er=xe.get(0,2),rr=xe.get(1,0),mr=xe.get(1,1),pn=xe.get(1,2),tn=xe.get(2,0),Tn=xe.get(2,1),Hn=xe.get(2,2),fr=(Ie+ze+Qe-xt-bt-cn-dn)*mr,br=(Ie-xt)*(-Mn+mr),tr=bt*(-Zn+Mn+rr-mr-pn-tn+Hn),hr=(-Ie+xt+bt)*(Zn-Mn+mr),vr=(xt+bt)*(-Zn+Mn),Bn=Ie*Zn,xr=(-Ie+Ht+cn)*(Zn-er+pn),Jn=(-Ie+Ht)*(er-pn),Nr=(Ht+cn)*(-Zn+er),Xa=(Ie+ze+Qe-bt-Yt-Ht-cn)*pn,$a=cn*(-Zn+er+rr-mr-pn-tn+Tn),ai=(-Qe+cn+dn)*(mr+tn-Tn),Zr=(Qe-dn)*(mr-Tn),ua=Qe*tn,Da=(cn+dn)*(-tn+Tn),sa=(-Qe+bt+Yt)*(pn+tn-Hn),Ja=(Qe-Yt)*(pn-Hn),Li=(bt+Yt)*(-tn+Hn),Na=ze*rr,Ti=Yt*Tn,ji=xt*er,Ao=Ht*Mn,uo=dn*Hn,Ts=Bn+ua+Na,Uo=fr+hr+vr+Bn+ai+ua+Da,po=Bn+xr+Nr+Xa+ua+sa+Li,qo=br+tr+hr+Bn+ua+sa+Ja,Wo=br+hr+vr+Bn+Ti,jo=ua+sa+Ja+Li+ji,Qr=Bn+xr+Jn+$a+ai+Zr+ua,Go=ai+Zr+ua+Da+Ao,Ds=Bn+xr+Jn+Nr+uo;return Le.set(0,0,Ts),Le.set(0,1,Uo),Le.set(0,2,po),Le.set(1,0,qo),Le.set(1,1,Wo),Le.set(1,2,jo),Le.set(2,0,Qr),Le.set(2,1,Go),Le.set(2,2,Ds),Le}mmulStrassen(xe){xe=yt.checkMatrix(xe);let Le=this.clone(),Ie=Le.rows,ze=Le.columns,Qe=xe.rows,xt=xe.columns;ze!==Qe&&console.warn(`Multiplying ${Ie} x ${ze} and ${Qe} x ${xt} matrix: dimensions do not match.`);function bt(dn,Zn,Mn){let er=dn.rows,rr=dn.columns;if(er===Zn&&rr===Mn)return dn;{let mr=sn.zeros(Zn,Mn);return mr=mr.setSubMatrix(dn,0,0),mr}}let Yt=Math.max(Ie,Qe),Ht=Math.max(ze,xt);Le=bt(Le,Yt,Ht),xe=bt(xe,Yt,Ht);function cn(dn,Zn,Mn,er){if(Mn<=512||er<=512)return dn.mmul(Zn);Mn%2===1&&er%2===1?(dn=bt(dn,Mn+1,er+1),Zn=bt(Zn,Mn+1,er+1)):Mn%2===1?(dn=bt(dn,Mn+1,er),Zn=bt(Zn,Mn+1,er)):er%2===1&&(dn=bt(dn,Mn,er+1),Zn=bt(Zn,Mn,er+1));let rr=parseInt(dn.rows/2,10),mr=parseInt(dn.columns/2,10),pn=dn.subMatrix(0,rr-1,0,mr-1),tn=Zn.subMatrix(0,rr-1,0,mr-1),Tn=dn.subMatrix(0,rr-1,mr,dn.columns-1),Hn=Zn.subMatrix(0,rr-1,mr,Zn.columns-1),fr=dn.subMatrix(rr,dn.rows-1,0,mr-1),br=Zn.subMatrix(rr,Zn.rows-1,0,mr-1),tr=dn.subMatrix(rr,dn.rows-1,mr,dn.columns-1),hr=Zn.subMatrix(rr,Zn.rows-1,mr,Zn.columns-1),vr=cn(sn.add(pn,tr),sn.add(tn,hr),rr,mr),Bn=cn(sn.add(fr,tr),tn,rr,mr),xr=cn(pn,sn.sub(Hn,hr),rr,mr),Jn=cn(tr,sn.sub(br,tn),rr,mr),Nr=cn(sn.add(pn,Tn),hr,rr,mr),Xa=cn(sn.sub(fr,pn),sn.add(tn,Hn),rr,mr),$a=cn(sn.sub(Tn,tr),sn.add(br,hr),rr,mr),ai=sn.add(vr,Jn);ai.sub(Nr),ai.add($a);let Zr=sn.add(xr,Nr),ua=sn.add(Bn,Jn),Da=sn.sub(vr,Bn);Da.add(xr),Da.add(Xa);let sa=sn.zeros(2*ai.rows,2*ai.columns);return sa=sa.setSubMatrix(ai,0,0),sa=sa.setSubMatrix(Zr,ai.rows,0),sa=sa.setSubMatrix(ua,0,ai.columns),sa=sa.setSubMatrix(Da,ai.rows,ai.columns),sa.subMatrix(0,Mn-1,0,er-1)}return cn(Le,xe,Yt,Ht)}scaleRows(xe={}){if(typeof xe!="object")throw new TypeError("options must be an object");const{min:Le=0,max:Ie=1}=xe;if(!Number.isFinite(Le))throw new TypeError("min must be a number");if(!Number.isFinite(Ie))throw new TypeError("max must be a number");if(Le>=Ie)throw new RangeError("min must be smaller than max");let ze=new yt(this.rows,this.columns);for(let Qe=0;Qe0&&ne(xt,{min:Le,max:Ie,output:xt}),ze.setRow(Qe,xt)}return ze}scaleColumns(xe={}){if(typeof xe!="object")throw new TypeError("options must be an object");const{min:Le=0,max:Ie=1}=xe;if(!Number.isFinite(Le))throw new TypeError("min must be a number");if(!Number.isFinite(Ie))throw new TypeError("max must be a number");if(Le>=Ie)throw new RangeError("min must be smaller than max");let ze=new yt(this.rows,this.columns);for(let Qe=0;QeIe||Le<0||Le>=this.columns||Ie<0||Ie>=this.columns)throw new RangeError("Argument out of range");let ze=new yt(xe.length,Ie-Le+1);for(let Qe=0;Qe=this.rows)throw new RangeError(`Row index out of range: ${xe[Qe]}`);ze.set(Qe,xt-Le,this.get(xe[Qe],xt))}return ze}subMatrixColumn(xe,Le,Ie){if(Le===void 0&&(Le=0),Ie===void 0&&(Ie=this.rows-1),Le>Ie||Le<0||Le>=this.rows||Ie<0||Ie>=this.rows)throw new RangeError("Argument out of range");let ze=new yt(Ie-Le+1,xe.length);for(let Qe=0;Qe=this.columns)throw new RangeError(`Column index out of range: ${xe[Qe]}`);ze.set(xt-Le,Qe,this.get(xt,xe[Qe]))}return ze}setSubMatrix(xe,Le,Ie){if(xe=yt.checkMatrix(xe),xe.isEmpty())return this;let ze=Le+xe.rows-1,Qe=Ie+xe.columns-1;Ye(this,Le,ze,Ie,Qe);for(let xt=0;xttypeof xe=="number")}sn.random=sn.rand,sn.randomInt=sn.randInt,sn.diagonal=sn.diag,sn.prototype.diagonal=sn.prototype.diag,sn.identity=sn.eye,sn.prototype.negate=sn.prototype.neg,sn.prototype.tensorProduct=sn.prototype.kroneckerProduct;const Tt=class NS extends sn{constructor(xe,Le){if(super(),we(this,ye),Pe(this,"data"),NS.isMatrix(xe))pe(this,ye,be).call(this,xe.rows,xe.columns),NS.copy(xe,this);else if(Number.isInteger(xe)&&xe>=0)pe(this,ye,be).call(this,xe,Le);else if(te.isAnyArray(xe)){const Ie=xe;if(xe=Ie.length,Le=xe?Ie[0].length:0,typeof Le!="number")throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let ze=0;ze=0)for(let Le=0;Le=0)Me(this,ce,new yt(xe,xe));else if(Me(this,ce,new yt(xe)),!this.isSymmetric())throw new TypeError("not symmetric data")}get size(){return Ee(this,ce).size}get rows(){return Ee(this,ce).rows}get columns(){return Ee(this,ce).columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(xe){return yt.isMatrix(xe)&&xe.klassType==="SymmetricMatrix"}static zeros(xe){return new this(xe)}static ones(xe){return new this(xe).fill(1)}clone(){const xe=new RS(this.diagonalSize);for(const[Le,Ie,ze]of this.upperRightEntries())xe.set(Le,Ie,ze);return xe}toMatrix(){return new yt(this)}get(xe,Le){return Ee(this,ce).get(xe,Le)}set(xe,Le,Ie){return Ee(this,ce).set(xe,Le,Ie),Ee(this,ce).set(Le,xe,Ie),this}removeCross(xe){return Ee(this,ce).removeRow(xe),Ee(this,ce).removeColumn(xe),this}addCross(xe,Le){Le===void 0&&(Le=xe,xe=this.diagonalSize);const Ie=Le.slice();return Ie.splice(xe,1),Ee(this,ce).addRow(xe,Ie),Ee(this,ce).addColumn(xe,Le),this}applyMask(xe){if(xe.length!==this.diagonalSize)throw new RangeError("Mask size do not match with matrix size");const Le=[];for(const[Ie,ze]of xe.entries())ze||Le.push(Ie);Le.reverse();for(const Ie of Le)this.removeCross(Ie);return this}toCompact(){const{diagonalSize:xe}=this,Le=new Array(xe*(xe+1)/2);for(let Ie=0,ze=0,Qe=0;Qe=xe&&(Ie=++ze);return Le}static fromCompact(xe){const Le=xe.length,Ie=(Math.sqrt(8*Le+1)-1)/2;if(!Number.isInteger(Ie))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(xe)}`);const ze=new RS(Ie);for(let Qe=0,xt=0,bt=0;bt=Ie&&(Qe=++xt);return ze}*upperRightEntries(){for(let xe=0,Le=0;xe=this.diagonalSize&&(Le=++xe)}}*upperRightValues(){for(let xe=0,Le=0;xe=this.diagonalSize&&(Le=++xe)}};ce=new WeakMap;let gt=Gt;gt.prototype.klassType="SymmetricMatrix";class St extends gt{static isDistanceMatrix(xe){return gt.isSymmetricMatrix(xe)&&xe.klassSubType==="DistanceMatrix"}constructor(xe){if(super(xe),!this.isDistance())throw new TypeError("Provided arguments do no produce a distance matrix")}set(xe,Le,Ie){return xe===Le&&(Ie=0),super.set(xe,Le,Ie)}addCross(xe,Le){return Le===void 0&&(Le=xe,xe=this.diagonalSize),Le=Le.slice(),Le[xe]=0,super.addCross(xe,Le)}toSymmetricMatrix(){return new gt(this)}clone(){const xe=new St(this.diagonalSize);for(const[Le,Ie,ze]of this.upperRightEntries())Le!==Ie&&xe.set(Le,Ie,ze);return xe}toCompact(){const{diagonalSize:xe}=this,Le=(xe-1)*xe/2,Ie=new Array(Le);for(let ze=1,Qe=0,xt=0;xt=xe&&(ze=++Qe+1);return Ie}static fromCompact(xe){const Le=xe.length;if(Le===0)return new this(0);const Ie=(Math.sqrt(8*Le+1)+1)/2;if(!Number.isInteger(Ie))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(xe)}`);const ze=new this(Ie);for(let Qe=1,xt=0,bt=0;bt=Ie&&(Qe=++xt+1);return ze}}St.prototype.klassSubType="DistanceMatrix";class Qt extends sn{constructor(xe,Le,Ie){super(),this.matrix=xe,this.rows=Le,this.columns=Ie}}class Nt extends Qt{constructor(xe,Le){Ne(xe,Le),super(xe,xe.rows,1),this.column=Le}set(xe,Le,Ie){return this.matrix.set(xe,this.column,Ie),this}get(xe){return this.matrix.get(xe,this.column)}}class Mt extends Qt{constructor(xe,Le){Xe(xe,Le),super(xe,xe.rows,Le.length),this.columnIndices=Le}set(xe,Le,Ie){return this.matrix.set(xe,this.columnIndices[Le],Ie),this}get(xe,Le){return this.matrix.get(xe,this.columnIndices[Le])}}class rn extends Qt{constructor(xe){super(xe,xe.rows,xe.columns)}set(xe,Le,Ie){return this.matrix.set(xe,this.columns-Le-1,Ie),this}get(xe,Le){return this.matrix.get(xe,this.columns-Le-1)}}class On extends Qt{constructor(xe){super(xe,xe.rows,xe.columns)}set(xe,Le,Ie){return this.matrix.set(this.rows-xe-1,Le,Ie),this}get(xe,Le){return this.matrix.get(this.rows-xe-1,Le)}}class zn extends Qt{constructor(xe,Le){De(xe,Le),super(xe,1,xe.columns),this.row=Le}set(xe,Le,Ie){return this.matrix.set(this.row,Le,Ie),this}get(xe,Le){return this.matrix.get(this.row,Le)}}class Gn extends Qt{constructor(xe,Le){Ge(xe,Le),super(xe,Le.length,xe.columns),this.rowIndices=Le}set(xe,Le,Ie){return this.matrix.set(this.rowIndices[xe],Le,Ie),this}get(xe,Le){return this.matrix.get(this.rowIndices[xe],Le)}}class nr extends Qt{constructor(xe,Le,Ie){Ge(xe,Le),Xe(xe,Ie),super(xe,Le.length,Ie.length),this.rowIndices=Le,this.columnIndices=Ie}set(xe,Le,Ie){return this.matrix.set(this.rowIndices[xe],this.columnIndices[Le],Ie),this}get(xe,Le){return this.matrix.get(this.rowIndices[xe],this.columnIndices[Le])}}class Xn extends Qt{constructor(xe,Le,Ie,ze,Qe){Ye(xe,Le,Ie,ze,Qe),super(xe,Ie-Le+1,Qe-ze+1),this.startRow=Le,this.startColumn=ze}set(xe,Le,Ie){return this.matrix.set(this.startRow+xe,this.startColumn+Le,Ie),this}get(xe,Le){return this.matrix.get(this.startRow+xe,this.startColumn+Le)}}class $t extends Qt{constructor(xe){super(xe,xe.columns,xe.rows)}set(xe,Le,Ie){return this.matrix.set(Le,xe,Ie),this}get(xe,Le){return this.matrix.get(Le,xe)}}class gn extends sn{constructor(xe,Le={}){const{rows:Ie=1}=Le;if(xe.length%Ie!==0)throw new Error("the data length is not divisible by the number of rows");super(),this.rows=Ie,this.columns=xe.length/Ie,this.data=xe}set(xe,Le,Ie){let ze=this._calculateIndex(xe,Le);return this.data[ze]=Ie,this}get(xe,Le){let Ie=this._calculateIndex(xe,Le);return this.data[Ie]}_calculateIndex(xe,Le){return xe*this.columns+Le}}class jn extends sn{constructor(xe){super(),this.data=xe,this.rows=xe.length,this.columns=xe[0].length}set(xe,Le,Ie){return this.data[xe][Le]=Ie,this}get(xe,Le){return this.data[xe][Le]}}function Ln(pt,xe){if(te.isAnyArray(pt))return pt[0]&&te.isAnyArray(pt[0])?new jn(pt):new gn(pt,xe);throw new Error("the argument is not an array")}class Sr{constructor(xe){xe=jn.checkMatrix(xe);let Le=xe.clone(),Ie=Le.rows,ze=Le.columns,Qe=new Float64Array(Ie),xt=1,bt,Yt,Ht,cn,dn,Zn,Mn,er,rr;for(bt=0;btMath.abs(er[cn])&&(cn=bt);if(cn!==Yt){for(Ht=0;Ht=0;Ht--){for(Yt=0;Ytxt?ze.set(Qe,xt,xe.get(Qe,xt)):Qe===xt?ze.set(Qe,xt,1):ze.set(Qe,xt,0);return ze}get upperTriangularMatrix(){let xe=this.LU,Le=xe.rows,Ie=xe.columns,ze=new yt(Le,Ie);for(let Qe=0;QeMath.abs(xe)?(Le=xe/pt,Math.abs(pt)*Math.sqrt(1+Le*Le)):xe!==0?(Le=pt/xe,Math.abs(xe)*Math.sqrt(1+Le*Le)):0}class Mr{constructor(xe){xe=jn.checkMatrix(xe);let Le=xe.clone(),Ie=xe.rows,ze=xe.columns,Qe=new Float64Array(ze),xt,bt,Yt,Ht;for(Yt=0;Yt=0;Ht--){for(Yt=0;Yt=0;bt--){for(Qe=0;Qe=0;Bn--)if(er[Bn]!==0){for(let xr=Bn+1;xr=0;Bn--){if(Bn0;){let Bn,xr;for(Bn=tr-2;Bn>=-1&&Bn!==-1;Bn--){const Jn=Number.MIN_VALUE+vr*Math.abs(er[Bn]+Math.abs(er[Bn+1]));if(Math.abs(pn[Bn])<=Jn||Number.isNaN(pn[Bn])){pn[Bn]=0;break}}if(Bn===tr-2)xr=4;else{let Jn;for(Jn=tr-1;Jn>=Bn&&Jn!==Bn;Jn--){let Nr=(Jn!==tr?Math.abs(pn[Jn]):0)+(Jn!==Bn+1?Math.abs(pn[Jn-1]):0);if(Math.abs(er[Jn])<=vr*Nr){er[Jn]=0;break}}Jn===Bn?xr=3:Jn===tr-1?xr=1:(xr=2,Bn=Jn)}switch(Bn++,xr){case 1:{let Jn=pn[tr-2];pn[tr-2]=0;for(let Nr=tr-2;Nr>=Bn;Nr--){let Xa=Ur(er[Nr],Jn),$a=er[Nr]/Xa,ai=Jn/Xa;if(er[Nr]=Xa,Nr!==Bn&&(Jn=-ai*pn[Nr-1],pn[Nr-1]=$a*pn[Nr-1]),Ht)for(let Zr=0;Zr=er[Bn+1]);){let Jn=er[Bn];if(er[Bn]=er[Bn+1],er[Bn+1]=Jn,Ht&&BnLe&&Qe.set(cn,dn,xe.get(cn,dn)/this.s[dn]);let xt=this.U,bt=xt.rows,Yt=xt.columns,Ht=new yt(Ie,bt);for(let cn=0;cnxe&&Le++;return Le}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return yt.diag(this.s)}}function ma(pt,xe=!1){return pt=jn.checkMatrix(pt),xe?new Gr(pt).inverse():Oa(pt,yt.eye(pt.rows))}function Oa(pt,xe,Le=!1){return pt=jn.checkMatrix(pt),xe=jn.checkMatrix(xe),Le?new Gr(pt).solve(xe):pt.isSquare()?new Sr(pt).solve(xe):new Mr(pt).solve(xe)}function Ea(pt){if(pt=yt.checkMatrix(pt),pt.isSquare()){if(pt.columns===0)return 1;let xe,Le,Ie,ze;if(pt.columns===2)return xe=pt.get(0,0),Le=pt.get(0,1),Ie=pt.get(1,0),ze=pt.get(1,1),xe*ze-Le*Ie;if(pt.columns===3){let Qe,xt,bt;return Qe=new nr(pt,[1,2],[1,2]),xt=new nr(pt,[1,2],[0,2]),bt=new nr(pt,[1,2],[0,1]),xe=pt.get(0,0),Le=pt.get(0,1),Ie=pt.get(0,2),xe*Ea(Qe)-Le*Ea(xt)+Ie*Ea(bt)}else return new Sr(pt).determinant}else throw Error("determinant can only be calculated for a square matrix")}function Ma(pt,xe){let Le=[];for(let Ie=0;Ieze)return new Array(xe.rows+1).fill(0);{let Qe=xe.addRow(Le,[0]);for(let xt=0;xtxe?Qe[xt]=1/Qe[xt]:Qe[xt]=0;return ze.mmul(yt.diag(Qe).mmul(Ie.transpose()))}function Ta(pt,xe=pt,Le={}){pt=new yt(pt);let Ie=!1;if(typeof xe=="object"&&!yt.isMatrix(xe)&&!te.isAnyArray(xe)?(Le=xe,xe=pt,Ie=!0):xe=new yt(xe),pt.rows!==xe.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:ze=!0}=Le;ze&&(pt=pt.center("column"),Ie||(xe=xe.center("column")));const Qe=pt.transpose().mmul(xe);for(let xt=0;xt0?ze.set(Qe,Qe+1,Le[Qe]):Le[Qe]<0&&ze.set(Qe,Qe-1,Le[Qe])}return ze}}function pr(pt,xe,Le,Ie){let ze,Qe,xt,bt,Yt,Ht,cn,dn;for(Yt=0;Yt0;bt--){for(dn=0,xt=0,Ht=0;Ht0&&(Qe=-Qe),xe[bt]=dn*Qe,xt=xt-ze*Qe,Le[bt-1]=ze-Qe,Yt=0;YtHt)do{for(ze=Le[Ht],dn=(Le[Ht+1]-ze)/(2*xe[Ht]),Zn=Ur(dn,1),dn<0&&(Zn=-Zn),Le[Ht]=xe[Ht]/(dn+Zn),Le[Ht+1]=xe[Ht]*(dn+Zn),Mn=Le[Ht+1],Qe=ze-Le[Ht],xt=Ht+2;xt=Ht;xt--)for(mr=rr,rr=er,Tn=tn,ze=er*xe[xt],Qe=er*dn,Zn=Ur(dn,xe[xt]),xe[xt+1]=tn*Zn,tn=xe[xt]/Zn,er=dn/Zn,dn=er*Le[xt]-tn*ze,Le[xt+1]=Qe+tn*(er*ze+tn*Le[xt]),Yt=0;Ytbr*fr);Le[Ht]=Le[Ht]+Hn,xe[Ht]=0}for(xt=0;xt=dn;Ht--)Le[Ht]=xe.get(Ht,dn-1)/Zn,Yt+=Le[Ht]*Le[Ht];for(bt=Math.sqrt(Yt),Le[dn]>0&&(bt=-bt),Yt=Yt-Le[dn]*bt,Le[dn]=Le[dn]-bt,cn=dn;cn=dn;Ht--)xt+=Le[Ht]*xe.get(Ht,cn);for(xt=xt/Yt,Ht=dn;Ht<=Qe;Ht++)xe.set(Ht,cn,xe.get(Ht,cn)-xt*Le[Ht])}for(Ht=0;Ht<=Qe;Ht++){for(xt=0,cn=Qe;cn>=dn;cn--)xt+=Le[cn]*xe.get(Ht,cn);for(xt=xt/Yt,cn=dn;cn<=Qe;cn++)xe.set(Ht,cn,xe.get(Ht,cn)-xt*Le[cn])}Le[dn]=Zn*Le[dn],xe.set(dn,dn-1,Zn*bt)}}for(Ht=0;Ht=ze+1;dn--)if(xe.get(dn,dn-1)!==0){for(Ht=dn+1;Ht<=Qe;Ht++)Le[Ht]=xe.get(Ht,dn-1);for(cn=dn;cn<=Qe;cn++){for(bt=0,Ht=dn;Ht<=Qe;Ht++)bt+=Le[Ht]*Ie.get(Ht,cn);for(bt=bt/Le[dn]/xe.get(dn,dn-1),Ht=dn;Ht<=Qe;Ht++)Ie.set(Ht,cn,Ie.get(Ht,cn)+bt*Le[Ht])}}}function kn(pt,xe,Le,Ie,ze){let Qe=pt-1,xt=0,bt=pt-1,Yt=Number.EPSILON,Ht=0,cn=0,dn=0,Zn=0,Mn=0,er=0,rr=0,mr=0,pn,tn,Tn,Hn,fr,br,tr,hr,vr,Bn,xr,Jn,Nr,Xa,$a;for(pn=0;pnbt)&&(Le[pn]=ze.get(pn,pn),xe[pn]=0),tn=Math.max(pn-1,0);tn=xt;){for(Hn=Qe;Hn>xt&&(er=Math.abs(ze.get(Hn-1,Hn-1))+Math.abs(ze.get(Hn,Hn)),er===0&&(er=cn),!(Math.abs(ze.get(Hn,Hn-1))=0){for(rr=dn>=0?dn+rr:dn-rr,Le[Qe-1]=hr+rr,Le[Qe]=Le[Qe-1],rr!==0&&(Le[Qe]=hr-tr/rr),xe[Qe-1]=0,xe[Qe]=0,hr=ze.get(Qe,Qe-1),er=Math.abs(hr)+Math.abs(rr),dn=hr/er,Zn=rr/er,Mn=Math.sqrt(dn*dn+Zn*Zn),dn=dn/Mn,Zn=Zn/Mn,tn=Qe-1;tn0)){for(er=Math.sqrt(er),vr=Hn&&(rr=ze.get(fr,fr),Mn=hr-rr,er=vr-rr,dn=(Mn*er-tr)/ze.get(fr+1,fr)+ze.get(fr,fr+1),Zn=ze.get(fr+1,fr+1)-rr-Mn-er,Mn=ze.get(fr+2,fr+1),er=Math.abs(dn)+Math.abs(Zn)+Math.abs(Mn),dn=dn/er,Zn=Zn/er,Mn=Mn/er,!(fr===Hn||Math.abs(ze.get(fr,fr-1))*(Math.abs(Zn)+Math.abs(Mn))fr+2&&ze.set(pn,pn-3,0);for(Tn=fr;Tn<=Qe-1&&(Xa=Tn!==Qe-1,Tn!==fr&&(dn=ze.get(Tn,Tn-1),Zn=ze.get(Tn+1,Tn-1),Mn=Xa?ze.get(Tn+2,Tn-1):0,hr=Math.abs(dn)+Math.abs(Zn)+Math.abs(Mn),hr!==0&&(dn=dn/hr,Zn=Zn/hr,Mn=Mn/hr)),hr!==0);Tn++)if(er=Math.sqrt(dn*dn+Zn*Zn+Mn*Mn),dn<0&&(er=-er),er!==0){for(Tn!==fr?ze.set(Tn,Tn-1,-er*hr):Hn!==fr&&ze.set(Tn,Tn-1,-ze.get(Tn,Tn-1)),dn=dn+er,hr=dn/er,vr=Zn/er,rr=Mn/er,Zn=Zn/dn,Mn=Mn/dn,tn=Tn;tn=0;Qe--)if(dn=Le[Qe],Zn=xe[Qe],Zn===0)for(Hn=Qe,ze.set(Qe,Qe,1),pn=Qe-1;pn>=0;pn--){for(tr=ze.get(pn,pn)-dn,Mn=0,tn=Hn;tn<=Qe;tn++)Mn=Mn+ze.get(pn,tn)*ze.get(tn,Qe);if(xe[pn]<0)rr=tr,er=Mn;else if(Hn=pn,xe[pn]===0?ze.set(pn,Qe,tr!==0?-Mn/tr:-Mn/(Yt*cn)):(hr=ze.get(pn,pn+1),vr=ze.get(pn+1,pn),Zn=(Le[pn]-dn)*(Le[pn]-dn)+xe[pn]*xe[pn],br=(hr*er-rr*Mn)/Zn,ze.set(pn,Qe,br),ze.set(pn+1,Qe,Math.abs(hr)>Math.abs(rr)?(-Mn-tr*br)/hr:(-er-vr*br)/rr)),br=Math.abs(ze.get(pn,Qe)),Yt*br*br>1)for(tn=pn;tn<=Qe;tn++)ze.set(tn,Qe,ze.get(tn,Qe)/br)}else if(Zn<0)for(Hn=Qe-1,Math.abs(ze.get(Qe,Qe-1))>Math.abs(ze.get(Qe-1,Qe))?(ze.set(Qe-1,Qe-1,Zn/ze.get(Qe,Qe-1)),ze.set(Qe-1,Qe,-(ze.get(Qe,Qe)-dn)/ze.get(Qe,Qe-1))):($a=ar(0,-ze.get(Qe-1,Qe),ze.get(Qe-1,Qe-1)-dn,Zn),ze.set(Qe-1,Qe-1,$a[0]),ze.set(Qe-1,Qe,$a[1])),ze.set(Qe,Qe-1,0),ze.set(Qe,Qe,1),pn=Qe-2;pn>=0;pn--){for(Bn=0,xr=0,tn=Hn;tn<=Qe;tn++)Bn=Bn+ze.get(pn,tn)*ze.get(tn,Qe-1),xr=xr+ze.get(pn,tn)*ze.get(tn,Qe);if(tr=ze.get(pn,pn)-dn,xe[pn]<0)rr=tr,Mn=Bn,er=xr;else if(Hn=pn,xe[pn]===0?($a=ar(-Bn,-xr,tr,Zn),ze.set(pn,Qe-1,$a[0]),ze.set(pn,Qe,$a[1])):(hr=ze.get(pn,pn+1),vr=ze.get(pn+1,pn),Jn=(Le[pn]-dn)*(Le[pn]-dn)+xe[pn]*xe[pn]-Zn*Zn,Nr=(Le[pn]-dn)*2*Zn,Jn===0&&Nr===0&&(Jn=Yt*cn*(Math.abs(tr)+Math.abs(Zn)+Math.abs(hr)+Math.abs(vr)+Math.abs(rr))),$a=ar(hr*Mn-rr*Bn+Zn*xr,hr*er-rr*xr-Zn*Bn,Jn,Nr),ze.set(pn,Qe-1,$a[0]),ze.set(pn,Qe,$a[1]),Math.abs(hr)>Math.abs(rr)+Math.abs(Zn)?(ze.set(pn+1,Qe-1,(-Bn-tr*ze.get(pn,Qe-1)+Zn*ze.get(pn,Qe))/hr),ze.set(pn+1,Qe,(-xr-tr*ze.get(pn,Qe)-Zn*ze.get(pn,Qe-1))/hr)):($a=ar(-Mn-vr*ze.get(pn,Qe-1),-er-vr*ze.get(pn,Qe),rr,Zn),ze.set(pn+1,Qe-1,$a[0]),ze.set(pn+1,Qe,$a[1]))),br=Math.max(Math.abs(ze.get(pn,Qe-1)),Math.abs(ze.get(pn,Qe))),Yt*br*br>1)for(tn=pn;tn<=Qe;tn++)ze.set(tn,Qe-1,ze.get(tn,Qe-1)/br),ze.set(tn,Qe,ze.get(tn,Qe)/br)}for(pn=0;pnbt)for(tn=pn;tn=xt;tn--)for(pn=xt;pn<=bt;pn++){for(rr=0,Tn=xt;Tn<=Math.min(tn,bt);Tn++)rr=rr+Ie.get(pn,Tn)*ze.get(Tn,tn);Ie.set(pn,tn,rr)}}}function ar(pt,xe,Le,Ie){let ze,Qe;return Math.abs(Le)>Math.abs(Ie)?(ze=Ie/Le,Qe=Le+ze*Ie,[(pt+ze*xe)/Qe,(xe-ze*pt)/Qe]):(ze=Le/Ie,Qe=Ie+ze*Le,[(ze*pt+xe)/Qe,(ze*xe-pt)/Qe])}class lr{constructor(xe){if(xe=jn.checkMatrix(xe),!xe.isSymmetric())throw new Error("Matrix is not symmetric");let Le=xe,Ie=Le.rows,ze=new yt(Ie,Ie),Qe=!0,xt,bt,Yt;for(bt=0;bt0),ze.set(bt,bt,Math.sqrt(Math.max(Ht,0))),Yt=bt+1;Yt=0;Yt--)for(bt=0;btxt;Mn++)dn=xe.transpose().mmul(bt).div(bt.transpose().mmul(bt).get(0,0)),dn=dn.div(dn.norm()),Ht=xe.mmul(dn).div(dn.transpose().mmul(dn).get(0,0)),Mn>0&&(Yt=Ht.clone().sub(Zn).pow(2).sum()),Zn=Ht.clone(),Ie?(cn=Ie.transpose().mmul(Ht).div(Ht.transpose().mmul(Ht).get(0,0)),cn=cn.div(cn.norm()),bt=Ie.mmul(cn).div(cn.transpose().mmul(cn).get(0,0))):bt=Ht;if(Ie){let Mn=xe.transpose().mmul(Ht).div(Ht.transpose().mmul(Ht).get(0,0));Mn=Mn.div(Mn.norm());let er=xe.clone().sub(Ht.clone().mmul(Mn.transpose())),rr=bt.transpose().mmul(Ht).div(Ht.transpose().mmul(Ht).get(0,0)),mr=Ie.clone().sub(Ht.clone().mulS(rr.get(0,0)).mmul(cn.transpose()));this.t=Ht,this.p=Mn.transpose(),this.w=dn.transpose(),this.q=cn,this.u=bt,this.s=Ht.transpose().mmul(Ht),this.xResidual=er,this.yResidual=mr,this.betas=rr}else this.w=dn.transpose(),this.s=Ht.transpose().mmul(Ht).sqrt(),ze?this.t=Ht.clone().div(this.s.get(0,0)):this.t=Ht,this.xResidual=xe.sub(Ht.mmul(dn.transpose()))}}Lt.XA=sn,Lt.a_=lr,Lt.yQ=lr,Lt.Hs=St,Lt.Ec=sr,Lt.dx=sr,Lt.LU=Sr,Lt.Rm=Sr,Lt.y3=yt,Lt.qK=Mt,Lt.pb=Nt,Lt.j=rn,Lt.sO=On,Lt.BZ=Gn,Lt.EK=zn,Lt.Db=nr,Lt.Fx=Xn,Lt.tU=$t,Lt.Ym=Fr,Lt.rs=Fr,Lt.QR=Mr,Lt.TB=Mr,Lt.oH=Gr,Lt.Sc=Gr,Lt.BN=gt,Lt.it=gn,Lt.$r=jn,Lt.QM=Ha,Lt.AV=Ta,_e=yt,Lt.GH=Ea,Lt.SO=ma,Lt.uZ=di,Lt.yU=Hr,Lt.F1=Oa,Lt.re=Ln},50371:function(Pt,Lt){"use strict";function Oe(){const _e=Object.assign({},arguments.length<=0?void 0:arguments[0]);for(let Ve=1;Ve{const ke=Re[Ce];ke!==void 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TypeError("column indices must be an array");for(let Le=0;Le=pt.columns)throw new RangeError("column indices are out of range")}function Ye(pt,xe,Le,Ie,ze){if(arguments.length!==5)throw new RangeError("expected 4 arguments");if($e("startRow",xe),$e("endRow",Le),$e("startColumn",Ie),$e("endColumn",ze),xe>Le||Ie>ze||xe<0||xe>=pt.rows||Le<0||Le>=pt.rows||Ie<0||Ie>=pt.columns||ze<0||ze>=pt.columns)throw new RangeError("Submatrix indices are out of range")}function rt(pt,xe=0){let Le=[];for(let Ie=0;Ie=Qe)throw new RangeError("min must be smaller than max");let bt=Qe-ze,Yt=new yt(xe,Le);for(let Ht=0;HtIe?(Qe=!0,Ie=Le):(ze=!1,Qe=!0);xe++}return ze}isReducedEchelonForm(){let xe=0,Le=0,Ie=-1,ze=!0,Qe=!1;for(;xeIe?(Qe=!0,Ie=Le):(ze=!1,Qe=!0);for(let xt=Le+1;xtxe.get(ze,Ie)&&(ze=Qe);if(xe.get(ze,Ie)===0)Ie++;else{xe.swapRows(Le,ze);let Qe=xe.get(Le,Ie);for(let xt=Ie;xt=0;)if(xe.maxRow(ze)===0)ze--;else{let Qe=0,xt=!1;for(;QeLe[Ie]&&(Le[Ie]=this.get(Ie,ze));return Le}case"column":{const Le=new 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Ie=1;Ie=1;ze/=2)ze&1&&(Le=Le.mmul(Ie)),Ie=Ie.mmul(Ie);return Le}strassen2x2(xe){xe=yt.checkMatrix(xe);let Le=new yt(2,2);const Ie=this.get(0,0),ze=xe.get(0,0),Qe=this.get(0,1),xt=xe.get(0,1),bt=this.get(1,0),Yt=xe.get(1,0),Ht=this.get(1,1),cn=xe.get(1,1),dn=(Ie+Ht)*(ze+cn),Zn=(bt+Ht)*ze,Mn=Ie*(xt-cn),er=Ht*(Yt-ze),rr=(Ie+Qe)*cn,mr=(bt-Ie)*(ze+xt),pn=(Qe-Ht)*(Yt+cn),tn=dn+er-rr+pn,Tn=Mn+rr,Hn=Zn+er,fr=dn-Zn+Mn+mr;return Le.set(0,0,tn),Le.set(0,1,Tn),Le.set(1,0,Hn),Le.set(1,1,fr),Le}strassen3x3(xe){xe=yt.checkMatrix(xe);let Le=new yt(3,3);const Ie=this.get(0,0),ze=this.get(0,1),Qe=this.get(0,2),xt=this.get(1,0),bt=this.get(1,1),Yt=this.get(1,2),Ht=this.get(2,0),cn=this.get(2,1),dn=this.get(2,2),Zn=xe.get(0,0),Mn=xe.get(0,1),er=xe.get(0,2),rr=xe.get(1,0),mr=xe.get(1,1),pn=xe.get(1,2),tn=xe.get(2,0),Tn=xe.get(2,1),Hn=xe.get(2,2),fr=(Ie+ze+Qe-xt-bt-cn-dn)*mr,br=(Ie-xt)*(-Mn+mr),tr=bt*(-Zn+Mn+rr-mr-pn-tn+Hn),hr=(-Ie+xt+bt)*(Zn-Mn+mr),vr=(xt+bt)*(-Zn+Mn),Bn=Ie*Zn,xr=(-Ie+Ht+cn)*(Zn-er+pn),Jn=(-Ie+Ht)*(er-pn),Nr=(Ht+cn)*(-Zn+er),Xa=(Ie+ze+Qe-bt-Yt-Ht-cn)*pn,$a=cn*(-Zn+er+rr-mr-pn-tn+Tn),ai=(-Qe+cn+dn)*(mr+tn-Tn),Zr=(Qe-dn)*(mr-Tn),ca=Qe*tn,Da=(cn+dn)*(-tn+Tn),sa=(-Qe+bt+Yt)*(pn+tn-Hn),Ja=(Qe-Yt)*(pn-Hn),Li=(bt+Yt)*(-tn+Hn),Na=ze*rr,Ti=Yt*Tn,ji=xt*er,Ao=Ht*Mn,uo=dn*Hn,Ts=Bn+ca+Na,Uo=fr+hr+vr+Bn+ai+ca+Da,po=Bn+xr+Nr+Xa+ca+sa+Li,qo=br+tr+hr+Bn+ca+sa+Ja,Wo=br+hr+vr+Bn+Ti,jo=ca+sa+Ja+Li+ji,Qr=Bn+xr+Jn+$a+ai+Zr+ca,Go=ai+Zr+ca+Da+Ao,Ds=Bn+xr+Jn+Nr+uo;return Le.set(0,0,Ts),Le.set(0,1,Uo),Le.set(0,2,po),Le.set(1,0,qo),Le.set(1,1,Wo),Le.set(1,2,jo),Le.set(2,0,Qr),Le.set(2,1,Go),Le.set(2,2,Ds),Le}mmulStrassen(xe){xe=yt.checkMatrix(xe);let Le=this.clone(),Ie=Le.rows,ze=Le.columns,Qe=xe.rows,xt=xe.columns;ze!==Qe&&console.warn(`Multiplying ${Ie} x ${ze} and ${Qe} x ${xt} matrix: dimensions do not match.`);function bt(dn,Zn,Mn){let er=dn.rows,rr=dn.columns;if(er===Zn&&rr===Mn)return dn;{let mr=sn.zeros(Zn,Mn);return mr=mr.setSubMatrix(dn,0,0),mr}}let Yt=Math.max(Ie,Qe),Ht=Math.max(ze,xt);Le=bt(Le,Yt,Ht),xe=bt(xe,Yt,Ht);function cn(dn,Zn,Mn,er){if(Mn<=512||er<=512)return dn.mmul(Zn);Mn%2===1&&er%2===1?(dn=bt(dn,Mn+1,er+1),Zn=bt(Zn,Mn+1,er+1)):Mn%2===1?(dn=bt(dn,Mn+1,er),Zn=bt(Zn,Mn+1,er)):er%2===1&&(dn=bt(dn,Mn,er+1),Zn=bt(Zn,Mn,er+1));let rr=parseInt(dn.rows/2,10),mr=parseInt(dn.columns/2,10),pn=dn.subMatrix(0,rr-1,0,mr-1),tn=Zn.subMatrix(0,rr-1,0,mr-1),Tn=dn.subMatrix(0,rr-1,mr,dn.columns-1),Hn=Zn.subMatrix(0,rr-1,mr,Zn.columns-1),fr=dn.subMatrix(rr,dn.rows-1,0,mr-1),br=Zn.subMatrix(rr,Zn.rows-1,0,mr-1),tr=dn.subMatrix(rr,dn.rows-1,mr,dn.columns-1),hr=Zn.subMatrix(rr,Zn.rows-1,mr,Zn.columns-1),vr=cn(sn.add(pn,tr),sn.add(tn,hr),rr,mr),Bn=cn(sn.add(fr,tr),tn,rr,mr),xr=cn(pn,sn.sub(Hn,hr),rr,mr),Jn=cn(tr,sn.sub(br,tn),rr,mr),Nr=cn(sn.add(pn,Tn),hr,rr,mr),Xa=cn(sn.sub(fr,pn),sn.add(tn,Hn),rr,mr),$a=cn(sn.sub(Tn,tr),sn.add(br,hr),rr,mr),ai=sn.add(vr,Jn);ai.sub(Nr),ai.add($a);let Zr=sn.add(xr,Nr),ca=sn.add(Bn,Jn),Da=sn.sub(vr,Bn);Da.add(xr),Da.add(Xa);let sa=sn.zeros(2*ai.rows,2*ai.columns);return sa=sa.setSubMatrix(ai,0,0),sa=sa.setSubMatrix(Zr,ai.rows,0),sa=sa.setSubMatrix(ca,0,ai.columns),sa=sa.setSubMatrix(Da,ai.rows,ai.columns),sa.subMatrix(0,Mn-1,0,er-1)}return cn(Le,xe,Yt,Ht)}scaleRows(xe={}){if(typeof xe!="object")throw new TypeError("options must be an object");const{min:Le=0,max:Ie=1}=xe;if(!Number.isFinite(Le))throw new TypeError("min must be a number");if(!Number.isFinite(Ie))throw new TypeError("max must be a number");if(Le>=Ie)throw new RangeError("min must be smaller than max");let ze=new yt(this.rows,this.columns);for(let Qe=0;Qe0&&ne(xt,{min:Le,max:Ie,output:xt}),ze.setRow(Qe,xt)}return ze}scaleColumns(xe={}){if(typeof xe!="object")throw new TypeError("options must be an object");const{min:Le=0,max:Ie=1}=xe;if(!Number.isFinite(Le))throw new TypeError("min must be a number");if(!Number.isFinite(Ie))throw new TypeError("max must be a number");if(Le>=Ie)throw new RangeError("min must be smaller than max");let ze=new yt(this.rows,this.columns);for(let Qe=0;QeIe||Le<0||Le>=this.columns||Ie<0||Ie>=this.columns)throw new RangeError("Argument out of range");let ze=new yt(xe.length,Ie-Le+1);for(let Qe=0;Qe=this.rows)throw new RangeError(`Row index out of range: ${xe[Qe]}`);ze.set(Qe,xt-Le,this.get(xe[Qe],xt))}return ze}subMatrixColumn(xe,Le,Ie){if(Le===void 0&&(Le=0),Ie===void 0&&(Ie=this.rows-1),Le>Ie||Le<0||Le>=this.rows||Ie<0||Ie>=this.rows)throw new RangeError("Argument out of range");let ze=new yt(Ie-Le+1,xe.length);for(let Qe=0;Qe=this.columns)throw new RangeError(`Column index out of range: ${xe[Qe]}`);ze.set(xt-Le,Qe,this.get(xt,xe[Qe]))}return ze}setSubMatrix(xe,Le,Ie){if(xe=yt.checkMatrix(xe),xe.isEmpty())return this;let ze=Le+xe.rows-1,Qe=Ie+xe.columns-1;Ye(this,Le,ze,Ie,Qe);for(let xt=0;xttypeof xe=="number")}sn.random=sn.rand,sn.randomInt=sn.randInt,sn.diagonal=sn.diag,sn.prototype.diagonal=sn.prototype.diag,sn.identity=sn.eye,sn.prototype.negate=sn.prototype.neg,sn.prototype.tensorProduct=sn.prototype.kroneckerProduct;const Tt=class NS extends sn{constructor(xe,Le){if(super(),we(this,ye),Pe(this,"data"),NS.isMatrix(xe))pe(this,ye,be).call(this,xe.rows,xe.columns),NS.copy(xe,this);else if(Number.isInteger(xe)&&xe>=0)pe(this,ye,be).call(this,xe,Le);else if(te.isAnyArray(xe)){const Ie=xe;if(xe=Ie.length,Le=xe?Ie[0].length:0,typeof Le!="number")throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let ze=0;ze=0)for(let Le=0;Le=0)Me(this,ce,new yt(xe,xe));else if(Me(this,ce,new yt(xe)),!this.isSymmetric())throw new TypeError("not symmetric data")}get size(){return Ee(this,ce).size}get rows(){return Ee(this,ce).rows}get columns(){return Ee(this,ce).columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(xe){return yt.isMatrix(xe)&&xe.klassType==="SymmetricMatrix"}static zeros(xe){return new this(xe)}static ones(xe){return new this(xe).fill(1)}clone(){const xe=new RS(this.diagonalSize);for(const[Le,Ie,ze]of this.upperRightEntries())xe.set(Le,Ie,ze);return xe}toMatrix(){return new yt(this)}get(xe,Le){return Ee(this,ce).get(xe,Le)}set(xe,Le,Ie){return Ee(this,ce).set(xe,Le,Ie),Ee(this,ce).set(Le,xe,Ie),this}removeCross(xe){return Ee(this,ce).removeRow(xe),Ee(this,ce).removeColumn(xe),this}addCross(xe,Le){Le===void 0&&(Le=xe,xe=this.diagonalSize);const Ie=Le.slice();return Ie.splice(xe,1),Ee(this,ce).addRow(xe,Ie),Ee(this,ce).addColumn(xe,Le),this}applyMask(xe){if(xe.length!==this.diagonalSize)throw new RangeError("Mask size do not match with matrix size");const Le=[];for(const[Ie,ze]of xe.entries())ze||Le.push(Ie);Le.reverse();for(const Ie of Le)this.removeCross(Ie);return this}toCompact(){const{diagonalSize:xe}=this,Le=new Array(xe*(xe+1)/2);for(let Ie=0,ze=0,Qe=0;Qe=xe&&(Ie=++ze);return Le}static fromCompact(xe){const Le=xe.length,Ie=(Math.sqrt(8*Le+1)-1)/2;if(!Number.isInteger(Ie))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(xe)}`);const ze=new RS(Ie);for(let Qe=0,xt=0,bt=0;bt=Ie&&(Qe=++xt);return ze}*upperRightEntries(){for(let xe=0,Le=0;xe=this.diagonalSize&&(Le=++xe)}}*upperRightValues(){for(let xe=0,Le=0;xe=this.diagonalSize&&(Le=++xe)}};ce=new WeakMap;let gt=Gt;gt.prototype.klassType="SymmetricMatrix";class St extends gt{static isDistanceMatrix(xe){return gt.isSymmetricMatrix(xe)&&xe.klassSubType==="DistanceMatrix"}constructor(xe){if(super(xe),!this.isDistance())throw new TypeError("Provided arguments do no produce a distance matrix")}set(xe,Le,Ie){return xe===Le&&(Ie=0),super.set(xe,Le,Ie)}addCross(xe,Le){return Le===void 0&&(Le=xe,xe=this.diagonalSize),Le=Le.slice(),Le[xe]=0,super.addCross(xe,Le)}toSymmetricMatrix(){return new gt(this)}clone(){const xe=new St(this.diagonalSize);for(const[Le,Ie,ze]of this.upperRightEntries())Le!==Ie&&xe.set(Le,Ie,ze);return xe}toCompact(){const{diagonalSize:xe}=this,Le=(xe-1)*xe/2,Ie=new Array(Le);for(let ze=1,Qe=0,xt=0;xt=xe&&(ze=++Qe+1);return Ie}static fromCompact(xe){const Le=xe.length;if(Le===0)return new this(0);const Ie=(Math.sqrt(8*Le+1)+1)/2;if(!Number.isInteger(Ie))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(xe)}`);const ze=new this(Ie);for(let Qe=1,xt=0,bt=0;bt=Ie&&(Qe=++xt+1);return ze}}St.prototype.klassSubType="DistanceMatrix";class Qt extends sn{constructor(xe,Le,Ie){super(),this.matrix=xe,this.rows=Le,this.columns=Ie}}class Nt extends Qt{constructor(xe,Le){Ne(xe,Le),super(xe,xe.rows,1),this.column=Le}set(xe,Le,Ie){return this.matrix.set(xe,this.column,Ie),this}get(xe){return this.matrix.get(xe,this.column)}}class Mt extends Qt{constructor(xe,Le){Xe(xe,Le),super(xe,xe.rows,Le.length),this.columnIndices=Le}set(xe,Le,Ie){return this.matrix.set(xe,this.columnIndices[Le],Ie),this}get(xe,Le){return this.matrix.get(xe,this.columnIndices[Le])}}class rn extends Qt{constructor(xe){super(xe,xe.rows,xe.columns)}set(xe,Le,Ie){return this.matrix.set(xe,this.columns-Le-1,Ie),this}get(xe,Le){return this.matrix.get(xe,this.columns-Le-1)}}class On extends Qt{constructor(xe){super(xe,xe.rows,xe.columns)}set(xe,Le,Ie){return this.matrix.set(this.rows-xe-1,Le,Ie),this}get(xe,Le){return this.matrix.get(this.rows-xe-1,Le)}}class zn extends Qt{constructor(xe,Le){De(xe,Le),super(xe,1,xe.columns),this.row=Le}set(xe,Le,Ie){return this.matrix.set(this.row,Le,Ie),this}get(xe,Le){return this.matrix.get(this.row,Le)}}class Gn extends Qt{constructor(xe,Le){Ge(xe,Le),super(xe,Le.length,xe.columns),this.rowIndices=Le}set(xe,Le,Ie){return this.matrix.set(this.rowIndices[xe],Le,Ie),this}get(xe,Le){return this.matrix.get(this.rowIndices[xe],Le)}}class nr extends Qt{constructor(xe,Le,Ie){Ge(xe,Le),Xe(xe,Ie),super(xe,Le.length,Ie.length),this.rowIndices=Le,this.columnIndices=Ie}set(xe,Le,Ie){return this.matrix.set(this.rowIndices[xe],this.columnIndices[Le],Ie),this}get(xe,Le){return this.matrix.get(this.rowIndices[xe],this.columnIndices[Le])}}class Xn extends Qt{constructor(xe,Le,Ie,ze,Qe){Ye(xe,Le,Ie,ze,Qe),super(xe,Ie-Le+1,Qe-ze+1),this.startRow=Le,this.startColumn=ze}set(xe,Le,Ie){return this.matrix.set(this.startRow+xe,this.startColumn+Le,Ie),this}get(xe,Le){return this.matrix.get(this.startRow+xe,this.startColumn+Le)}}class $t extends Qt{constructor(xe){super(xe,xe.columns,xe.rows)}set(xe,Le,Ie){return this.matrix.set(Le,xe,Ie),this}get(xe,Le){return this.matrix.get(Le,xe)}}class gn extends sn{constructor(xe,Le={}){const{rows:Ie=1}=Le;if(xe.length%Ie!==0)throw new Error("the data length is not divisible by the number of rows");super(),this.rows=Ie,this.columns=xe.length/Ie,this.data=xe}set(xe,Le,Ie){let ze=this._calculateIndex(xe,Le);return this.data[ze]=Ie,this}get(xe,Le){let Ie=this._calculateIndex(xe,Le);return this.data[Ie]}_calculateIndex(xe,Le){return xe*this.columns+Le}}class jn extends sn{constructor(xe){super(),this.data=xe,this.rows=xe.length,this.columns=xe[0].length}set(xe,Le,Ie){return this.data[xe][Le]=Ie,this}get(xe,Le){return this.data[xe][Le]}}function Ln(pt,xe){if(te.isAnyArray(pt))return pt[0]&&te.isAnyArray(pt[0])?new jn(pt):new gn(pt,xe);throw new Error("the argument is not an array")}class Sr{constructor(xe){xe=jn.checkMatrix(xe);let Le=xe.clone(),Ie=Le.rows,ze=Le.columns,Qe=new Float64Array(Ie),xt=1,bt,Yt,Ht,cn,dn,Zn,Mn,er,rr;for(bt=0;btMath.abs(er[cn])&&(cn=bt);if(cn!==Yt){for(Ht=0;Ht=0;Ht--){for(Yt=0;Ytxt?ze.set(Qe,xt,xe.get(Qe,xt)):Qe===xt?ze.set(Qe,xt,1):ze.set(Qe,xt,0);return ze}get upperTriangularMatrix(){let xe=this.LU,Le=xe.rows,Ie=xe.columns,ze=new yt(Le,Ie);for(let Qe=0;QeMath.abs(xe)?(Le=xe/pt,Math.abs(pt)*Math.sqrt(1+Le*Le)):xe!==0?(Le=pt/xe,Math.abs(xe)*Math.sqrt(1+Le*Le)):0}class Mr{constructor(xe){xe=jn.checkMatrix(xe);let Le=xe.clone(),Ie=xe.rows,ze=xe.columns,Qe=new Float64Array(ze),xt,bt,Yt,Ht;for(Yt=0;Yt=0;Ht--){for(Yt=0;Yt=0;bt--){for(Qe=0;Qe=0;Bn--)if(er[Bn]!==0){for(let xr=Bn+1;xr=0;Bn--){if(Bn0;){let Bn,xr;for(Bn=tr-2;Bn>=-1&&Bn!==-1;Bn--){const Jn=Number.MIN_VALUE+vr*Math.abs(er[Bn]+Math.abs(er[Bn+1]));if(Math.abs(pn[Bn])<=Jn||Number.isNaN(pn[Bn])){pn[Bn]=0;break}}if(Bn===tr-2)xr=4;else{let Jn;for(Jn=tr-1;Jn>=Bn&&Jn!==Bn;Jn--){let Nr=(Jn!==tr?Math.abs(pn[Jn]):0)+(Jn!==Bn+1?Math.abs(pn[Jn-1]):0);if(Math.abs(er[Jn])<=vr*Nr){er[Jn]=0;break}}Jn===Bn?xr=3:Jn===tr-1?xr=1:(xr=2,Bn=Jn)}switch(Bn++,xr){case 1:{let Jn=pn[tr-2];pn[tr-2]=0;for(let Nr=tr-2;Nr>=Bn;Nr--){let Xa=Ur(er[Nr],Jn),$a=er[Nr]/Xa,ai=Jn/Xa;if(er[Nr]=Xa,Nr!==Bn&&(Jn=-ai*pn[Nr-1],pn[Nr-1]=$a*pn[Nr-1]),Ht)for(let Zr=0;Zr=er[Bn+1]);){let Jn=er[Bn];if(er[Bn]=er[Bn+1],er[Bn+1]=Jn,Ht&&BnLe&&Qe.set(cn,dn,xe.get(cn,dn)/this.s[dn]);let xt=this.U,bt=xt.rows,Yt=xt.columns,Ht=new yt(Ie,bt);for(let cn=0;cnxe&&Le++;return Le}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return yt.diag(this.s)}}function ma(pt,xe=!1){return pt=jn.checkMatrix(pt),xe?new Gr(pt).inverse():Oa(pt,yt.eye(pt.rows))}function Oa(pt,xe,Le=!1){return pt=jn.checkMatrix(pt),xe=jn.checkMatrix(xe),Le?new Gr(pt).solve(xe):pt.isSquare()?new Sr(pt).solve(xe):new Mr(pt).solve(xe)}function Ea(pt){if(pt=yt.checkMatrix(pt),pt.isSquare()){if(pt.columns===0)return 1;let xe,Le,Ie,ze;if(pt.columns===2)return xe=pt.get(0,0),Le=pt.get(0,1),Ie=pt.get(1,0),ze=pt.get(1,1),xe*ze-Le*Ie;if(pt.columns===3){let Qe,xt,bt;return Qe=new nr(pt,[1,2],[1,2]),xt=new nr(pt,[1,2],[0,2]),bt=new nr(pt,[1,2],[0,1]),xe=pt.get(0,0),Le=pt.get(0,1),Ie=pt.get(0,2),xe*Ea(Qe)-Le*Ea(xt)+Ie*Ea(bt)}else return new Sr(pt).determinant}else throw Error("determinant can only be calculated for a square matrix")}function Ma(pt,xe){let Le=[];for(let Ie=0;Ieze)return new Array(xe.rows+1).fill(0);{let Qe=xe.addRow(Le,[0]);for(let xt=0;xtxe?Qe[xt]=1/Qe[xt]:Qe[xt]=0;return ze.mmul(yt.diag(Qe).mmul(Ie.transpose()))}function Ta(pt,xe=pt,Le={}){pt=new yt(pt);let Ie=!1;if(typeof xe=="object"&&!yt.isMatrix(xe)&&!te.isAnyArray(xe)?(Le=xe,xe=pt,Ie=!0):xe=new yt(xe),pt.rows!==xe.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:ze=!0}=Le;ze&&(pt=pt.center("column"),Ie||(xe=xe.center("column")));const Qe=pt.transpose().mmul(xe);for(let xt=0;xt0?ze.set(Qe,Qe+1,Le[Qe]):Le[Qe]<0&&ze.set(Qe,Qe-1,Le[Qe])}return ze}}function pr(pt,xe,Le,Ie){let 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Array(An),ir=0;ir{const{lineHeight:An}=Ct,cr=Math.floor(zt*An)+2,ir=Math.max((Rt-cr)/2,0),kr=Math.max(Rt-cr-ir,0);return{padding:`${ir}px ${bn}px ${kr}px`}},pf=Ct=>{const{componentCls:Rt,pickerCellCls:zt,pickerCellInnerCls:bn,cellHeight:An,motionDurationSlow:cr,borderRadiusSM:ir,motionDurationMid:kr,cellHoverBg:Rr,lineWidth:qr,lineType:_a,colorPrimary:ta,cellActiveWithRangeBg:ia,colorTextLightSolid:Aa,controlHeightSM:xa,cellRangeBorderColor:zr,pickerCellBorderGap:Kr,cellHoverWithRangeBg:Sa,cellWidth:gi,colorTextDisabled:Ka,cellBgDisabled:vi}=Ct;return{"&::before":{position:"absolute",top:"50%",insetInlineStart:0,insetInlineEnd:0,zIndex:1,height:An,transform:"translateY(-50%)",transition:`all ${cr}`,content:'""'},[bn]:{position:"relative",zIndex:2,display:"inline-block",minWidth:An,height:An,lineHeight:`${An}px`,borderRadius:ir,transition:`background ${kr}, border ${kr}`},"&-range-hover-start, &-range-hover-end":{[bn]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`&:hover:not(${zt}-in-view), &:hover:not(${zt}-selected):not(${zt}-range-start):not(${zt}-range-end):not(${zt}-range-hover-start):not(${zt}-range-hover-end)`]:{[bn]:{background:Rr}},[`&-in-view${zt}-today ${bn}`]:{"&::before":{position:"absolute",top:0,insetInlineEnd:0,bottom:0,insetInlineStart:0,zIndex:1,border:`${qr}px ${_a} ${ta}`,borderRadius:ir,content:'""'}},[`&-in-view${zt}-in-range`]:{position:"relative","&::before":{background:ia}},[`&-in-view${zt}-selected ${bn}, &-in-view${zt}-range-start ${bn}, &-in-view${zt}-range-end ${bn}`]:{color:Aa,background:ta},[`&-in-view${zt}-range-start:not(${zt}-range-start-single), @@ -303,11 +303,11 @@ ${oe}`)}function ue(pt,xe,Le){return(pt>=0&&Le?` ${ve(pt,xe-1)}`:ve(pt,xe)).padE &-in-view${zt}-range-end${zt}-range-hover::before, &-in-view${zt}-range-start:not(${zt}-range-start-single)${zt}-range-hover-start::before, &-in-view${zt}-range-end:not(${zt}-range-end-single)${zt}-range-hover-end::before, - ${_t}-panel - > :not(${_t}-date-panel) + ${Rt}-panel + > :not(${Rt}-date-panel) &-in-view${zt}-in-range${zt}-range-hover-start::before, - ${_t}-panel - > :not(${_t}-date-panel) + ${Rt}-panel + > :not(${Rt}-date-panel) &-in-view${zt}-in-range${zt}-range-hover-end::before`]:{background:Sa},[`&-in-view${zt}-range-start:not(${zt}-range-start-single):not(${zt}-range-end) ${bn}`]:{borderStartStartRadius:ir,borderEndStartRadius:ir,borderStartEndRadius:0,borderEndEndRadius:0},[`&-in-view${zt}-range-end:not(${zt}-range-end-single):not(${zt}-range-start) ${bn}`]:{borderStartStartRadius:0,borderEndStartRadius:0,borderStartEndRadius:ir,borderEndEndRadius:ir},[`&-range-hover${zt}-range-end::after`]:{insetInlineStart:"50%"},[`tr > &-in-view${zt}-range-hover:first-child::after, tr > &-in-view${zt}-range-hover-end:first-child::after, &-in-view${zt}-start${zt}-range-hover-edge-start${zt}-range-hover-edge-start-near-range::after, @@ -316,25 +316,25 @@ ${oe}`)}function ue(pt,xe,Le){return(pt>=0&&Le?` ${ve(pt,xe-1)}`:ve(pt,xe)).padE tr > &-in-view${zt}-range-hover-start:last-child::after, &-in-view${zt}-end${zt}-range-hover-edge-end${zt}-range-hover-edge-end-near-range::after, &-in-view${zt}-range-hover-edge-end:not(${zt}-range-hover-edge-end-near-range)::after, - &-in-view${zt}-range-hover-end::after`]:{insetInlineEnd:(gi-An)/2,borderInlineEnd:`${qr}px dashed ${zr}`,borderStartEndRadius:ir,borderEndEndRadius:ir},"&-disabled":{color:Ka,pointerEvents:"none",[bn]:{background:"transparent"},"&::before":{background:vi}},[`&-disabled${zt}-today ${bn}::before`]:{borderColor:Ka}}},Zd=Ct=>{const{componentCls:_t,pickerCellCls:zt,pickerCellInnerCls:bn,pickerYearMonthCellWidth:An,pickerControlIconSize:cr,cellWidth:ir,paddingSM:kr,paddingXS:Rr,paddingXXS:qr,colorBgContainer:_a,lineWidth:ta,lineType:ia,borderRadiusLG:Aa,colorPrimary:xa,colorTextHeading:zr,colorSplit:Kr,pickerControlIconBorderWidth:Sa,colorIcon:gi,textHeight:Ka,motionDurationMid:vi,colorIconHover:bi,fontWeightStrong:hi,cellHeight:ii,pickerCellPaddingVertical:Ni,colorTextDisabled:ro,colorText:bo,fontSize:Mo,cellHoverWithRangeBg:ns,motionDurationSlow:ps,withoutTimeCellHeight:Rs,pickerQuarterPanelContentHeight:$o,colorLink:ho,colorLinkActive:_o,colorLinkHover:Do,cellRangeBorderColor:As,borderRadiusSM:Qo,colorTextLightSolid:Fa,cellHoverBg:Zs,timeColumnHeight:_s,timeColumnWidth:Ft,timeCellHeight:Ut,controlItemBgActive:un,marginXXS:Sn,pickerDatePanelPaddingHorizontal:_n}=Ct,Un=ir*7+_n*2,gr=(Un-Rr*2)/3-An-kr,ur=(Un-Rr*2)/4-An;return{[_t]:{"&-panel":{display:"inline-flex",flexDirection:"column",textAlign:"center",background:_a,border:`${ta}px ${ia} ${Kr}`,borderRadius:Aa,outline:"none","&-focused":{borderColor:xa},"&-rtl":{direction:"rtl",[`${_t}-prev-icon, - ${_t}-super-prev-icon`]:{transform:"rotate(45deg)"},[`${_t}-next-icon, - ${_t}-super-next-icon`]:{transform:"rotate(-135deg)"}}},"&-decade-panel,\n &-year-panel,\n &-quarter-panel,\n &-month-panel,\n &-week-panel,\n &-date-panel,\n &-time-panel":{display:"flex",flexDirection:"column",width:Un},"&-header":{display:"flex",padding:`0 ${Rr}px`,color:zr,borderBottom:`${ta}px ${ia} ${Kr}`,"> *":{flex:"none"},button:{padding:0,color:gi,lineHeight:`${Ka}px`,background:"transparent",border:0,cursor:"pointer",transition:`color ${vi}`,fontSize:"inherit"},"> button":{minWidth:"1.6em",fontSize:Mo,"&:hover":{color:bi}},"&-view":{flex:"auto",fontWeight:hi,lineHeight:`${Ka}px`,button:{color:"inherit",fontWeight:"inherit",verticalAlign:"top","&:not(:first-child)":{marginInlineStart:Rr},"&:hover":{color:xa}}}},"&-prev-icon,\n &-next-icon,\n &-super-prev-icon,\n &-super-next-icon":{position:"relative",display:"inline-block",width:cr,height:cr,"&::before":{position:"absolute",top:0,insetInlineStart:0,display:"inline-block",width:cr,height:cr,border:"0 solid currentcolor",borderBlockStartWidth:Sa,borderBlockEndWidth:0,borderInlineStartWidth:Sa,borderInlineEndWidth:0,content:'""'}},"&-super-prev-icon,\n &-super-next-icon":{"&::after":{position:"absolute",top:Math.ceil(cr/2),insetInlineStart:Math.ceil(cr/2),display:"inline-block",width:cr,height:cr,border:"0 solid currentcolor",borderBlockStartWidth:Sa,borderBlockEndWidth:0,borderInlineStartWidth:Sa,borderInlineEndWidth:0,content:'""'}},"&-prev-icon,\n &-super-prev-icon":{transform:"rotate(-45deg)"},"&-next-icon,\n &-super-next-icon":{transform:"rotate(135deg)"},"&-content":{width:"100%",tableLayout:"fixed",borderCollapse:"collapse","th, td":{position:"relative",minWidth:ii,fontWeight:"normal"},th:{height:ii+Ni*2,color:bo,verticalAlign:"middle"}},"&-cell":Object.assign({padding:`${Ni}px 0`,color:ro,cursor:"pointer","&-in-view":{color:bo}},pf(Ct)),[`&-date-panel ${_t}-cell-in-view${_t}-cell-in-range${_t}-cell-range-hover-start ${bn}, - &-date-panel ${_t}-cell-in-view${_t}-cell-in-range${_t}-cell-range-hover-end ${bn}`]:{"&::after":{position:"absolute",top:0,bottom:0,zIndex:-1,background:ns,transition:`all ${ps}`,content:'""'}},[`&-date-panel - ${_t}-cell-in-view${_t}-cell-in-range${_t}-cell-range-hover-start - ${bn}::after`]:{insetInlineEnd:-(ir-ii)/2,insetInlineStart:0},[`&-date-panel ${_t}-cell-in-view${_t}-cell-in-range${_t}-cell-range-hover-end ${bn}::after`]:{insetInlineEnd:0,insetInlineStart:-(ir-ii)/2},[`&-range-hover${_t}-range-start::after`]:{insetInlineEnd:"50%"},"&-decade-panel,\n &-year-panel,\n &-quarter-panel,\n &-month-panel":{[`${_t}-content`]:{height:Rs*4},[bn]:{padding:`0 ${Rr}px`}},"&-quarter-panel":{[`${_t}-content`]:{height:$o},[`${_t}-cell-range-hover-start::after`]:{insetInlineStart:ur,borderInlineStart:`${ta}px dashed ${As}`,[`${_t}-panel-rtl &`]:{insetInlineEnd:ur,borderInlineEnd:`${ta}px dashed ${As}`}},[`${_t}-cell-range-hover-end::after`]:{insetInlineEnd:ur,borderInlineEnd:`${ta}px dashed ${As}`,[`${_t}-panel-rtl &`]:{insetInlineStart:ur,borderInlineStart:`${ta}px dashed ${As}`}}},[`&-panel ${_t}-footer`]:{borderTop:`${ta}px ${ia} ${Kr}`},"&-footer":{width:"min-content",minWidth:"100%",lineHeight:`${Ka-2*ta}px`,textAlign:"center","&-extra":{padding:`0 ${kr}px`,lineHeight:`${Ka-2*ta}px`,textAlign:"start","&:not(:last-child)":{borderBottom:`${ta}px ${ia} ${Kr}`}}},"&-now":{textAlign:"start"},"&-today-btn":{color:ho,"&:hover":{color:Do},"&:active":{color:_o},[`&${_t}-today-btn-disabled`]:{color:ro,cursor:"not-allowed"}},"&-decade-panel":{[bn]:{padding:`0 ${Rr/2}px`},[`${_t}-cell::before`]:{display:"none"}},"&-year-panel,\n &-quarter-panel,\n &-month-panel":{[`${_t}-body`]:{padding:`0 ${Rr}px`},[bn]:{width:An},[`${_t}-cell-range-hover-start::after`]:{borderStartStartRadius:Qo,borderEndStartRadius:Qo,borderStartEndRadius:0,borderEndEndRadius:0,[`${_t}-panel-rtl &`]:{borderStartStartRadius:0,borderEndStartRadius:0,borderStartEndRadius:Qo,borderEndEndRadius:Qo}},[`${_t}-cell-range-hover-end::after`]:{borderStartStartRadius:0,borderEndStartRadius:0,borderStartEndRadius:Qo,borderEndEndRadius:Qo,[`${_t}-panel-rtl &`]:{borderStartStartRadius:Qo,borderEndStartRadius:Qo,borderStartEndRadius:0,borderEndEndRadius:0}}},"&-year-panel,\n &-month-panel":{[`${_t}-cell-range-hover-start::after`]:{insetInlineStart:gr,borderInlineStart:`${ta}px dashed ${As}`,[`${_t}-panel-rtl &`]:{insetInlineEnd:gr,borderInlineEnd:`${ta}px dashed ${As}`}},[`${_t}-cell-range-hover-end::after`]:{insetInlineEnd:gr,borderInlineEnd:`${ta}px dashed ${As}`,[`${_t}-panel-rtl &`]:{insetInlineStart:gr,borderInlineStart:`${ta}px dashed ${As}`}}},"&-week-panel":{[`${_t}-body`]:{padding:`${Rr}px ${kr}px`},[`${_t}-cell`]:{[`&:hover ${bn}, + &-in-view${zt}-range-hover-end::after`]:{insetInlineEnd:(gi-An)/2,borderInlineEnd:`${qr}px dashed ${zr}`,borderStartEndRadius:ir,borderEndEndRadius:ir},"&-disabled":{color:Ka,pointerEvents:"none",[bn]:{background:"transparent"},"&::before":{background:vi}},[`&-disabled${zt}-today ${bn}::before`]:{borderColor:Ka}}},Zd=Ct=>{const{componentCls:Rt,pickerCellCls:zt,pickerCellInnerCls:bn,pickerYearMonthCellWidth:An,pickerControlIconSize:cr,cellWidth:ir,paddingSM:kr,paddingXS:Rr,paddingXXS:qr,colorBgContainer:_a,lineWidth:ta,lineType:ia,borderRadiusLG:Aa,colorPrimary:xa,colorTextHeading:zr,colorSplit:Kr,pickerControlIconBorderWidth:Sa,colorIcon:gi,textHeight:Ka,motionDurationMid:vi,colorIconHover:bi,fontWeightStrong:hi,cellHeight:ii,pickerCellPaddingVertical:Ni,colorTextDisabled:ro,colorText:bo,fontSize:Mo,cellHoverWithRangeBg:ns,motionDurationSlow:ps,withoutTimeCellHeight:Rs,pickerQuarterPanelContentHeight:$o,colorLink:ho,colorLinkActive:_o,colorLinkHover:Do,cellRangeBorderColor:As,borderRadiusSM:Qo,colorTextLightSolid:Fa,cellHoverBg:Zs,timeColumnHeight:_s,timeColumnWidth:_t,timeCellHeight:Ut,controlItemBgActive:un,marginXXS:Sn,pickerDatePanelPaddingHorizontal:_n}=Ct,Un=ir*7+_n*2,gr=(Un-Rr*2)/3-An-kr,ur=(Un-Rr*2)/4-An;return{[Rt]:{"&-panel":{display:"inline-flex",flexDirection:"column",textAlign:"center",background:_a,border:`${ta}px ${ia} ${Kr}`,borderRadius:Aa,outline:"none","&-focused":{borderColor:xa},"&-rtl":{direction:"rtl",[`${Rt}-prev-icon, + ${Rt}-super-prev-icon`]:{transform:"rotate(45deg)"},[`${Rt}-next-icon, + ${Rt}-super-next-icon`]:{transform:"rotate(-135deg)"}}},"&-decade-panel,\n &-year-panel,\n &-quarter-panel,\n &-month-panel,\n &-week-panel,\n &-date-panel,\n &-time-panel":{display:"flex",flexDirection:"column",width:Un},"&-header":{display:"flex",padding:`0 ${Rr}px`,color:zr,borderBottom:`${ta}px ${ia} ${Kr}`,"> *":{flex:"none"},button:{padding:0,color:gi,lineHeight:`${Ka}px`,background:"transparent",border:0,cursor:"pointer",transition:`color ${vi}`,fontSize:"inherit"},"> button":{minWidth:"1.6em",fontSize:Mo,"&:hover":{color:bi}},"&-view":{flex:"auto",fontWeight:hi,lineHeight:`${Ka}px`,button:{color:"inherit",fontWeight:"inherit",verticalAlign:"top","&:not(:first-child)":{marginInlineStart:Rr},"&:hover":{color:xa}}}},"&-prev-icon,\n &-next-icon,\n &-super-prev-icon,\n &-super-next-icon":{position:"relative",display:"inline-block",width:cr,height:cr,"&::before":{position:"absolute",top:0,insetInlineStart:0,display:"inline-block",width:cr,height:cr,border:"0 solid currentcolor",borderBlockStartWidth:Sa,borderBlockEndWidth:0,borderInlineStartWidth:Sa,borderInlineEndWidth:0,content:'""'}},"&-super-prev-icon,\n &-super-next-icon":{"&::after":{position:"absolute",top:Math.ceil(cr/2),insetInlineStart:Math.ceil(cr/2),display:"inline-block",width:cr,height:cr,border:"0 solid currentcolor",borderBlockStartWidth:Sa,borderBlockEndWidth:0,borderInlineStartWidth:Sa,borderInlineEndWidth:0,content:'""'}},"&-prev-icon,\n &-super-prev-icon":{transform:"rotate(-45deg)"},"&-next-icon,\n &-super-next-icon":{transform:"rotate(135deg)"},"&-content":{width:"100%",tableLayout:"fixed",borderCollapse:"collapse","th, td":{position:"relative",minWidth:ii,fontWeight:"normal"},th:{height:ii+Ni*2,color:bo,verticalAlign:"middle"}},"&-cell":Object.assign({padding:`${Ni}px 0`,color:ro,cursor:"pointer","&-in-view":{color:bo}},pf(Ct)),[`&-date-panel ${Rt}-cell-in-view${Rt}-cell-in-range${Rt}-cell-range-hover-start ${bn}, + &-date-panel ${Rt}-cell-in-view${Rt}-cell-in-range${Rt}-cell-range-hover-end ${bn}`]:{"&::after":{position:"absolute",top:0,bottom:0,zIndex:-1,background:ns,transition:`all ${ps}`,content:'""'}},[`&-date-panel + ${Rt}-cell-in-view${Rt}-cell-in-range${Rt}-cell-range-hover-start + ${bn}::after`]:{insetInlineEnd:-(ir-ii)/2,insetInlineStart:0},[`&-date-panel ${Rt}-cell-in-view${Rt}-cell-in-range${Rt}-cell-range-hover-end ${bn}::after`]:{insetInlineEnd:0,insetInlineStart:-(ir-ii)/2},[`&-range-hover${Rt}-range-start::after`]:{insetInlineEnd:"50%"},"&-decade-panel,\n &-year-panel,\n &-quarter-panel,\n &-month-panel":{[`${Rt}-content`]:{height:Rs*4},[bn]:{padding:`0 ${Rr}px`}},"&-quarter-panel":{[`${Rt}-content`]:{height:$o},[`${Rt}-cell-range-hover-start::after`]:{insetInlineStart:ur,borderInlineStart:`${ta}px dashed ${As}`,[`${Rt}-panel-rtl &`]:{insetInlineEnd:ur,borderInlineEnd:`${ta}px dashed ${As}`}},[`${Rt}-cell-range-hover-end::after`]:{insetInlineEnd:ur,borderInlineEnd:`${ta}px dashed ${As}`,[`${Rt}-panel-rtl &`]:{insetInlineStart:ur,borderInlineStart:`${ta}px dashed ${As}`}}},[`&-panel ${Rt}-footer`]:{borderTop:`${ta}px ${ia} ${Kr}`},"&-footer":{width:"min-content",minWidth:"100%",lineHeight:`${Ka-2*ta}px`,textAlign:"center","&-extra":{padding:`0 ${kr}px`,lineHeight:`${Ka-2*ta}px`,textAlign:"start","&:not(:last-child)":{borderBottom:`${ta}px ${ia} ${Kr}`}}},"&-now":{textAlign:"start"},"&-today-btn":{color:ho,"&:hover":{color:Do},"&:active":{color:_o},[`&${Rt}-today-btn-disabled`]:{color:ro,cursor:"not-allowed"}},"&-decade-panel":{[bn]:{padding:`0 ${Rr/2}px`},[`${Rt}-cell::before`]:{display:"none"}},"&-year-panel,\n &-quarter-panel,\n &-month-panel":{[`${Rt}-body`]:{padding:`0 ${Rr}px`},[bn]:{width:An},[`${Rt}-cell-range-hover-start::after`]:{borderStartStartRadius:Qo,borderEndStartRadius:Qo,borderStartEndRadius:0,borderEndEndRadius:0,[`${Rt}-panel-rtl &`]:{borderStartStartRadius:0,borderEndStartRadius:0,borderStartEndRadius:Qo,borderEndEndRadius:Qo}},[`${Rt}-cell-range-hover-end::after`]:{borderStartStartRadius:0,borderEndStartRadius:0,borderStartEndRadius:Qo,borderEndEndRadius:Qo,[`${Rt}-panel-rtl &`]:{borderStartStartRadius:Qo,borderEndStartRadius:Qo,borderStartEndRadius:0,borderEndEndRadius:0}}},"&-year-panel,\n &-month-panel":{[`${Rt}-cell-range-hover-start::after`]:{insetInlineStart:gr,borderInlineStart:`${ta}px dashed ${As}`,[`${Rt}-panel-rtl &`]:{insetInlineEnd:gr,borderInlineEnd:`${ta}px dashed ${As}`}},[`${Rt}-cell-range-hover-end::after`]:{insetInlineEnd:gr,borderInlineEnd:`${ta}px dashed ${As}`,[`${Rt}-panel-rtl &`]:{insetInlineStart:gr,borderInlineStart:`${ta}px dashed ${As}`}}},"&-week-panel":{[`${Rt}-body`]:{padding:`${Rr}px ${kr}px`},[`${Rt}-cell`]:{[`&:hover ${bn}, &-selected ${bn}, - ${bn}`]:{background:"transparent !important"}},"&-row":{td:{"&:before":{transition:`background ${vi}`},"&:first-child:before":{borderStartStartRadius:Qo,borderEndStartRadius:Qo},"&:last-child:before":{borderStartEndRadius:Qo,borderEndEndRadius:Qo}},"&:hover td":{"&:before":{background:Zs}},"&-range-start td,\n &-range-end td,\n &-selected td":{[`&${zt}`]:{"&:before":{background:xa},[`&${_t}-cell-week`]:{color:new Zo.C(Fa).setAlpha(.5).toHexString()},[bn]:{color:Fa}}},"&-range-hover td:before":{background:un}}},"&-date-panel":{[`${_t}-body`]:{padding:`${Rr}px ${_n}px`},[`${_t}-content`]:{width:ir*7,th:{width:ir,boxSizing:"border-box",padding:0}}},"&-datetime-panel":{display:"flex",[`${_t}-time-panel`]:{borderInlineStart:`${ta}px ${ia} ${Kr}`},[`${_t}-date-panel, - ${_t}-time-panel`]:{transition:`opacity ${ps}`},"&-active":{[`${_t}-date-panel, - ${_t}-time-panel`]:{opacity:.3,"&-active":{opacity:1}}}},"&-time-panel":{width:"auto",minWidth:"auto",direction:"ltr",[`${_t}-content`]:{display:"flex",flex:"auto",height:_s},"&-column":{flex:"1 0 auto",width:Ft,margin:`${qr}px 0`,padding:0,overflowY:"hidden",textAlign:"start",listStyle:"none",transition:`background ${vi}`,overflowX:"hidden","&::after":{display:"block",height:_s-Ut,content:'""'},"&:not(:first-child)":{borderInlineStart:`${ta}px ${ia} ${Kr}`},"&-active":{background:new Zo.C(un).setAlpha(.2).toHexString()},"&:hover":{overflowY:"auto"},"> li":{margin:0,padding:0,[`&${_t}-time-panel-cell`]:{marginInline:Sn,[`${_t}-time-panel-cell-inner`]:{display:"block",width:Ft-2*Sn,height:Ut,margin:0,paddingBlock:0,paddingInlineEnd:0,paddingInlineStart:(Ft-Ut)/2,color:bo,lineHeight:`${Ut}px`,borderRadius:Qo,cursor:"pointer",transition:`background ${vi}`,"&:hover":{background:Zs}},"&-selected":{[`${_t}-time-panel-cell-inner`]:{background:un}},"&-disabled":{[`${_t}-time-panel-cell-inner`]:{color:ro,background:"transparent",cursor:"not-allowed"}}}}}},[`&-datetime-panel ${_t}-time-panel-column:after`]:{height:_s-Ut+qr*2}}}},ls=Ct=>{const{componentCls:_t,colorBgContainer:zt,colorError:bn,errorActiveShadow:An,colorWarning:cr,warningActiveShadow:ir}=Ct;return{[`${_t}:not(${_t}-disabled)`]:{[`&${_t}-status-error`]:{"&, &:not([disabled]):hover":{backgroundColor:zt,borderColor:bn},[`&${_t}-focused, &:focus`]:Object.assign({},(0,Xu.M1)((0,mf.TS)(Ct,{activeBorderColor:bn,activeShadow:An}))),[`${_t}-active-bar`]:{background:bn}},[`&${_t}-status-warning`]:{"&, &:not([disabled]):hover":{backgroundColor:zt,borderColor:cr},[`&${_t}-focused, &:focus`]:Object.assign({},(0,Xu.M1)((0,mf.TS)(Ct,{activeBorderColor:cr,activeShadow:ir}))),[`${_t}-active-bar`]:{background:cr}}}}},Hf=Ct=>{const{componentCls:_t,antCls:zt,controlHeight:bn,fontSize:An,paddingInline:cr,colorBgContainer:ir,lineWidth:kr,lineType:Rr,colorBorder:qr,borderRadius:_a,motionDurationMid:ta,colorBgContainerDisabled:ia,colorTextDisabled:Aa,colorTextPlaceholder:xa,controlHeightLG:zr,fontSizeLG:Kr,controlHeightSM:Sa,paddingInlineSM:gi,paddingXS:Ka,marginXS:vi,colorTextDescription:bi,lineWidthBold:hi,lineHeight:ii,colorPrimary:Ni,motionDurationSlow:ro,zIndexPopup:bo,paddingXXS:Mo,paddingSM:ns,textHeight:ps,cellActiveWithRangeBg:Rs,colorPrimaryBorder:$o,sizePopupArrow:ho,borderRadiusXS:_o,borderRadiusOuter:Do,colorBgElevated:As,borderRadiusLG:Qo,boxShadowSecondary:Fa,borderRadiusSM:Zs,colorSplit:_s,cellHoverBg:Ft,presetsWidth:Ut,presetsMaxWidth:un,boxShadowPopoverArrow:Sn,colorTextQuaternary:_n}=Ct;return[{[_t]:Object.assign(Object.assign(Object.assign({},(0,wc.Wf)(Ct)),Pu(Ct,bn,An,cr)),{position:"relative",display:"inline-flex",alignItems:"center",background:ir,lineHeight:1,border:`${kr}px 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${Ft.tableHeaderBg}`}},[`${Ut}-bordered ${Ut}-cell-scrollbar`]:{borderInlineEnd:un}}}},bn=Ft=>{const{componentCls:Ut}=Ft;return{[`${Ut}-wrapper`]:{[`${Ut}-cell-ellipsis`]:Object.assign(Object.assign({},Ic.vS),{wordBreak:"keep-all",[` + `]:{"> th, > td":{borderInlineEnd:0}}}}}},Sn("middle",_t.tablePaddingVerticalMiddle,_t.tablePaddingHorizontalMiddle)),Sn("small",_t.tablePaddingVerticalSmall,_t.tablePaddingHorizontalSmall)),{[`> ${Ut}-footer`]:{border:un,borderTop:0}}),[`${Ut}-cell`]:{[`${Ut}-container:first-child`]:{borderTop:0},"&-scrollbar:not([rowspan])":{boxShadow:`0 ${_t.lineWidth}px 0 ${_t.lineWidth}px ${_t.tableHeaderBg}`}},[`${Ut}-bordered ${Ut}-cell-scrollbar`]:{borderInlineEnd:un}}}},bn=_t=>{const{componentCls:Ut}=_t;return{[`${Ut}-wrapper`]:{[`${Ut}-cell-ellipsis`]:Object.assign(Object.assign({},Ic.vS),{wordBreak:"keep-all",[` &${Ut}-cell-fix-left-last, &${Ut}-cell-fix-right-first - `]:{overflow:"visible",[`${Ut}-cell-content`]:{display:"block",overflow:"hidden",textOverflow:"ellipsis"}},[`${Ut}-column-title`]:{overflow:"hidden",textOverflow:"ellipsis",wordBreak:"keep-all"}})}}},cr=Ft=>{const{componentCls:Ut}=Ft;return{[`${Ut}-wrapper`]:{[`${Ut}-tbody > tr${Ut}-placeholder`]:{textAlign:"center",color:Ft.colorTextDisabled,"\n &:hover > th,\n &:hover > td,\n ":{background:Ft.colorBgContainer}}}}},ir=Oe(15969),Rr=Ft=>{const{componentCls:Ut,antCls:un,controlInteractiveSize:Sn,motionDurationSlow:_n,lineWidth:Un,paddingXS:gr,lineType:ur,tableBorderColor:dr,tableExpandIconBg:Lr,tableExpandColumnWidth:Pr,borderRadius:Dr,fontSize:$r,fontSizeSM:Jr,lineHeight:Er,tablePaddingVertical:pa,tablePaddingHorizontal:ha,tableExpandedRowBg:ka,paddingXXS:Pa}=Ft,Ra=Sn/2-Un,Ci=Ra*2+Un*3,wi=`${Un}px ${ur} ${dr}`,ui=Pa-Un;return{[`${Ut}-wrapper`]:{[`${Ut}-expand-icon-col`]:{width:Pr},[`${Ut}-row-expand-icon-cell`]:{textAlign:"center",[`${Ut}-row-expand-icon`]:{display:"inline-flex",float:"none",verticalAlign:"sub"}},[`${Ut}-row-indent`]:{height:1,float:"left"},[`${Ut}-row-expand-icon`]:Object.assign(Object.assign({},(0,ir.N)(Ft)),{position:"relative",float:"left",boxSizing:"border-box",width:Ci,height:Ci,padding:0,color:"inherit",lineHeight:`${Ci}px`,background:Lr,border:wi,borderRadius:Dr,transform:`scale(${Sn/Ci})`,transition:`all ${_n}`,userSelect:"none","&:focus, &:hover, &:active":{borderColor:"currentcolor"},"&::before, &::after":{position:"absolute",background:"currentcolor",transition:`transform ${_n} ease-out`,content:'""'},"&::before":{top:Ra,insetInlineEnd:ui,insetInlineStart:ui,height:Un},"&::after":{top:ui,bottom:ui,insetInlineStart:Ra,width:Un,transform:"rotate(90deg)"},"&-collapsed::before":{transform:"rotate(-180deg)"},"&-collapsed::after":{transform:"rotate(0deg)"},"&-spaced":{"&::before, &::after":{display:"none",content:"none"},background:"transparent",border:0,visibility:"hidden"}}),[`${Ut}-row-indent + ${Ut}-row-expand-icon`]:{marginTop:($r*Er-Un*3)/2-Math.ceil((Jr*1.4-Un*3)/2),marginInlineEnd:gr},[`tr${Ut}-expanded-row`]:{"&, &:hover":{"> th, > td":{background:ka}},[`${un}-descriptions-view`]:{display:"flex",table:{flex:"auto",width:"auto"}}},[`${Ut}-expanded-row-fixed`]:{position:"relative",margin:`-${pa}px -${ha}px`,padding:`${pa}px ${ha}px`}}}},_a=Ft=>{const{componentCls:Ut,antCls:un,iconCls:Sn,tableFilterDropdownWidth:_n,tableFilterDropdownSearchWidth:Un,paddingXXS:gr,paddingXS:ur,colorText:dr,lineWidth:Lr,lineType:Pr,tableBorderColor:Dr,tableHeaderIconColor:$r,fontSizeSM:Jr,tablePaddingHorizontal:Er,borderRadius:pa,motionDurationSlow:ha,colorTextDescription:ka,colorPrimary:Pa,tableHeaderFilterActiveBg:Ra,colorTextDisabled:Ci,tableFilterDropdownBg:wi,tableFilterDropdownHeight:ui,controlItemBgHover:Mi,controlItemBgActive:Fi,boxShadowSecondary:ei,filterDropdownMenuBg:Ei}=Ft,ti=`${un}-dropdown`,Wa=`${Ut}-filter-dropdown`,ba=`${un}-tree`,Ii=`${Lr}px ${Pr} ${Dr}`;return[{[`${Ut}-wrapper`]:{[`${Ut}-filter-column`]:{display:"flex",justifyContent:"space-between"},[`${Ut}-filter-trigger`]:{position:"relative",display:"flex",alignItems:"center",marginBlock:-gr,marginInline:`${gr}px ${-Er/2}px`,padding:`0 ${gr}px`,color:$r,fontSize:Jr,borderRadius:pa,cursor:"pointer",transition:`all ${ha}`,"&:hover":{color:ka,background:Ra},"&.active":{color:Pa}}}},{[`${un}-dropdown`]:{[Wa]:Object.assign(Object.assign({},(0,Ic.Wf)(Ft)),{minWidth:_n,backgroundColor:wi,borderRadius:pa,boxShadow:ei,overflow:"hidden",[`${ti}-menu`]:{maxHeight:ui,overflowX:"hidden",border:0,boxShadow:"none",borderRadius:"unset",backgroundColor:Ei,"&:empty::after":{display:"block",padding:`${ur}px 0`,color:Ci,fontSize:Jr,textAlign:"center",content:'"Not Found"'}},[`${Wa}-tree`]:{paddingBlock:`${ur}px 0`,paddingInline:ur,[ba]:{padding:0},[`${ba}-treenode ${ba}-node-content-wrapper:hover`]:{backgroundColor:Mi},[`${ba}-treenode-checkbox-checked ${ba}-node-content-wrapper`]:{"&, &:hover":{backgroundColor:Fi}}},[`${Wa}-search`]:{padding:ur,borderBottom:Ii,"&-input":{input:{minWidth:Un},[Sn]:{color:Ci}}},[`${Wa}-checkall`]:{width:"100%",marginBottom:gr,marginInlineStart:gr},[`${Wa}-btns`]:{display:"flex",justifyContent:"space-between",padding:`${ur-Lr}px ${ur}px`,overflow:"hidden",borderTop:Ii}})}},{[`${un}-dropdown ${Wa}, ${Wa}-submenu`]:{[`${un}-checkbox-wrapper + span`]:{paddingInlineStart:ur,color:dr},"> ul":{maxHeight:"calc(100vh - 130px)",overflowX:"hidden",overflowY:"auto"}}}]},ia=Ft=>{const{componentCls:Ut,lineWidth:un,colorSplit:Sn,motionDurationSlow:_n,zIndexTableFixed:Un,tableBg:gr,zIndexTableSticky:ur}=Ft,dr=Sn;return{[`${Ut}-wrapper`]:{[` + `]:{overflow:"visible",[`${Ut}-cell-content`]:{display:"block",overflow:"hidden",textOverflow:"ellipsis"}},[`${Ut}-column-title`]:{overflow:"hidden",textOverflow:"ellipsis",wordBreak:"keep-all"}})}}},cr=_t=>{const{componentCls:Ut}=_t;return{[`${Ut}-wrapper`]:{[`${Ut}-tbody > tr${Ut}-placeholder`]:{textAlign:"center",color:_t.colorTextDisabled,"\n &:hover > th,\n &:hover > td,\n ":{background:_t.colorBgContainer}}}}},ir=Oe(15969),Rr=_t=>{const{componentCls:Ut,antCls:un,controlInteractiveSize:Sn,motionDurationSlow:_n,lineWidth:Un,paddingXS:gr,lineType:ur,tableBorderColor:dr,tableExpandIconBg:Lr,tableExpandColumnWidth:Pr,borderRadius:Dr,fontSize:$r,fontSizeSM:Jr,lineHeight:Er,tablePaddingVertical:pa,tablePaddingHorizontal:ga,tableExpandedRowBg:ka,paddingXXS:Pa}=_t,Ra=Sn/2-Un,Ci=Ra*2+Un*3,wi=`${Un}px ${ur} ${dr}`,ui=Pa-Un;return{[`${Ut}-wrapper`]:{[`${Ut}-expand-icon-col`]:{width:Pr},[`${Ut}-row-expand-icon-cell`]:{textAlign:"center",[`${Ut}-row-expand-icon`]:{display:"inline-flex",float:"none",verticalAlign:"sub"}},[`${Ut}-row-indent`]:{height:1,float:"left"},[`${Ut}-row-expand-icon`]:Object.assign(Object.assign({},(0,ir.N)(_t)),{position:"relative",float:"left",boxSizing:"border-box",width:Ci,height:Ci,padding:0,color:"inherit",lineHeight:`${Ci}px`,background:Lr,border:wi,borderRadius:Dr,transform:`scale(${Sn/Ci})`,transition:`all ${_n}`,userSelect:"none","&:focus, &:hover, &:active":{borderColor:"currentcolor"},"&::before, &::after":{position:"absolute",background:"currentcolor",transition:`transform ${_n} ease-out`,content:'""'},"&::before":{top:Ra,insetInlineEnd:ui,insetInlineStart:ui,height:Un},"&::after":{top:ui,bottom:ui,insetInlineStart:Ra,width:Un,transform:"rotate(90deg)"},"&-collapsed::before":{transform:"rotate(-180deg)"},"&-collapsed::after":{transform:"rotate(0deg)"},"&-spaced":{"&::before, &::after":{display:"none",content:"none"},background:"transparent",border:0,visibility:"hidden"}}),[`${Ut}-row-indent + ${Ut}-row-expand-icon`]:{marginTop:($r*Er-Un*3)/2-Math.ceil((Jr*1.4-Un*3)/2),marginInlineEnd:gr},[`tr${Ut}-expanded-row`]:{"&, &:hover":{"> th, > td":{background:ka}},[`${un}-descriptions-view`]:{display:"flex",table:{flex:"auto",width:"auto"}}},[`${Ut}-expanded-row-fixed`]:{position:"relative",margin:`-${pa}px -${ga}px`,padding:`${pa}px ${ga}px`}}}},_a=_t=>{const{componentCls:Ut,antCls:un,iconCls:Sn,tableFilterDropdownWidth:_n,tableFilterDropdownSearchWidth:Un,paddingXXS:gr,paddingXS:ur,colorText:dr,lineWidth:Lr,lineType:Pr,tableBorderColor:Dr,tableHeaderIconColor:$r,fontSizeSM:Jr,tablePaddingHorizontal:Er,borderRadius:pa,motionDurationSlow:ga,colorTextDescription:ka,colorPrimary:Pa,tableHeaderFilterActiveBg:Ra,colorTextDisabled:Ci,tableFilterDropdownBg:wi,tableFilterDropdownHeight:ui,controlItemBgHover:Mi,controlItemBgActive:Fi,boxShadowSecondary:ei,filterDropdownMenuBg:Ei}=_t,ti=`${un}-dropdown`,Wa=`${Ut}-filter-dropdown`,ba=`${un}-tree`,Ii=`${Lr}px ${Pr} ${Dr}`;return[{[`${Ut}-wrapper`]:{[`${Ut}-filter-column`]:{display:"flex",justifyContent:"space-between"},[`${Ut}-filter-trigger`]:{position:"relative",display:"flex",alignItems:"center",marginBlock:-gr,marginInline:`${gr}px ${-Er/2}px`,padding:`0 ${gr}px`,color:$r,fontSize:Jr,borderRadius:pa,cursor:"pointer",transition:`all ${ga}`,"&:hover":{color:ka,background:Ra},"&.active":{color:Pa}}}},{[`${un}-dropdown`]:{[Wa]:Object.assign(Object.assign({},(0,Ic.Wf)(_t)),{minWidth:_n,backgroundColor:wi,borderRadius:pa,boxShadow:ei,overflow:"hidden",[`${ti}-menu`]:{maxHeight:ui,overflowX:"hidden",border:0,boxShadow:"none",borderRadius:"unset",backgroundColor:Ei,"&:empty::after":{display:"block",padding:`${ur}px 0`,color:Ci,fontSize:Jr,textAlign:"center",content:'"Not Found"'}},[`${Wa}-tree`]:{paddingBlock:`${ur}px 0`,paddingInline:ur,[ba]:{padding:0},[`${ba}-treenode ${ba}-node-content-wrapper:hover`]:{backgroundColor:Mi},[`${ba}-treenode-checkbox-checked ${ba}-node-content-wrapper`]:{"&, &:hover":{backgroundColor:Fi}}},[`${Wa}-search`]:{padding:ur,borderBottom:Ii,"&-input":{input:{minWidth:Un},[Sn]:{color:Ci}}},[`${Wa}-checkall`]:{width:"100%",marginBottom:gr,marginInlineStart:gr},[`${Wa}-btns`]:{display:"flex",justifyContent:"space-between",padding:`${ur-Lr}px ${ur}px`,overflow:"hidden",borderTop:Ii}})}},{[`${un}-dropdown ${Wa}, ${Wa}-submenu`]:{[`${un}-checkbox-wrapper + span`]:{paddingInlineStart:ur,color:dr},"> ul":{maxHeight:"calc(100vh - 130px)",overflowX:"hidden",overflowY:"auto"}}}]},ia=_t=>{const{componentCls:Ut,lineWidth:un,colorSplit:Sn,motionDurationSlow:_n,zIndexTableFixed:Un,tableBg:gr,zIndexTableSticky:ur}=_t,dr=Sn;return{[`${Ut}-wrapper`]:{[` ${Ut}-cell-fix-left, ${Ut}-cell-fix-right `]:{position:"sticky !important",zIndex:Un,background:gr},[` @@ -409,10 +409,10 @@ ${oe}`)}function ue(pt,xe,Le){return(pt>=0&&Le?` ${ve(pt,xe-1)}`:ve(pt,xe)).padE `]:{boxShadow:`inset 10px 0 8px -8px ${dr}`},[`${Ut}-cell-fix-left-last::before`]:{backgroundColor:"transparent !important"}},[`${Ut}-ping-right`]:{[`&:not(${Ut}-has-fix-right) ${Ut}-container`]:{position:"relative","&::after":{boxShadow:`inset -10px 0 8px -8px ${dr}`}},[` ${Ut}-cell-fix-right-first::after, ${Ut}-cell-fix-right-last::after - `]:{boxShadow:`inset -10px 0 8px -8px ${dr}`}}}}},xa=Ft=>{const{componentCls:Ut,antCls:un}=Ft;return{[`${Ut}-wrapper`]:{[`${Ut}-pagination${un}-pagination`]:{margin:`${Ft.margin}px 0`},[`${Ut}-pagination`]:{display:"flex",flexWrap:"wrap",rowGap:Ft.paddingXS,"> *":{flex:"none"},"&-left":{justifyContent:"flex-start"},"&-center":{justifyContent:"center"},"&-right":{justifyContent:"flex-end"}}}}},Kr=Ft=>{const{componentCls:Ut,tableRadius:un}=Ft;return{[`${Ut}-wrapper`]:{[Ut]:{[`${Ut}-title, ${Ut}-header`]:{borderRadius:`${un}px ${un}px 0 0`},[`${Ut}-title + ${Ut}-container`]:{borderStartStartRadius:0,borderStartEndRadius:0,[`${Ut}-header, table`]:{borderRadius:0},"table > thead > tr:first-child":{"th:first-child, th:last-child, td:first-child, td:last-child":{borderRadius:0}}},"&-container":{borderStartStartRadius:un,borderStartEndRadius:un,"table > thead > tr:first-child":{"> *:first-child":{borderStartStartRadius:un},"> *:last-child":{borderStartEndRadius:un}}},"&-footer":{borderRadius:`0 0 ${un}px ${un}px`}}}}},gi=Ft=>{const{componentCls:Ut}=Ft;return{[`${Ut}-wrapper-rtl`]:{direction:"rtl",table:{direction:"rtl"},[`${Ut}-pagination-left`]:{justifyContent:"flex-end"},[`${Ut}-pagination-right`]:{justifyContent:"flex-start"},[`${Ut}-row-expand-icon`]:{float:"right","&::after":{transform:"rotate(-90deg)"},"&-collapsed::before":{transform:"rotate(180deg)"},"&-collapsed::after":{transform:"rotate(0deg)"}},[`${Ut}-container`]:{"&::before":{insetInlineStart:"unset",insetInlineEnd:0},"&::after":{insetInlineStart:0,insetInlineEnd:"unset"},[`${Ut}-row-indent`]:{float:"right"}}}}},vi=Ft=>{const{componentCls:Ut,antCls:un,iconCls:Sn,fontSizeIcon:_n,padding:Un,paddingXS:gr,tableHeaderIconColor:ur,tableHeaderIconColorHover:dr,tableSelectionColumnWidth:Lr}=Ft;return{[`${Ut}-wrapper`]:{[`${Ut}-selection-col`]:{width:Lr,[`&${Ut}-selection-col-with-dropdown`]:{width:Lr+_n+Un/4}},[`${Ut}-bordered ${Ut}-selection-col`]:{width:Lr+gr*2,[`&${Ut}-selection-col-with-dropdown`]:{width:Lr+_n+Un/4+gr*2}},[` + `]:{boxShadow:`inset -10px 0 8px -8px ${dr}`}}}}},xa=_t=>{const{componentCls:Ut,antCls:un}=_t;return{[`${Ut}-wrapper`]:{[`${Ut}-pagination${un}-pagination`]:{margin:`${_t.margin}px 0`},[`${Ut}-pagination`]:{display:"flex",flexWrap:"wrap",rowGap:_t.paddingXS,"> *":{flex:"none"},"&-left":{justifyContent:"flex-start"},"&-center":{justifyContent:"center"},"&-right":{justifyContent:"flex-end"}}}}},Kr=_t=>{const{componentCls:Ut,tableRadius:un}=_t;return{[`${Ut}-wrapper`]:{[Ut]:{[`${Ut}-title, ${Ut}-header`]:{borderRadius:`${un}px ${un}px 0 0`},[`${Ut}-title + ${Ut}-container`]:{borderStartStartRadius:0,borderStartEndRadius:0,[`${Ut}-header, table`]:{borderRadius:0},"table > thead > tr:first-child":{"th:first-child, th:last-child, td:first-child, td:last-child":{borderRadius:0}}},"&-container":{borderStartStartRadius:un,borderStartEndRadius:un,"table > thead > tr:first-child":{"> *:first-child":{borderStartStartRadius:un},"> *:last-child":{borderStartEndRadius:un}}},"&-footer":{borderRadius:`0 0 ${un}px ${un}px`}}}}},gi=_t=>{const{componentCls:Ut}=_t;return{[`${Ut}-wrapper-rtl`]:{direction:"rtl",table:{direction:"rtl"},[`${Ut}-pagination-left`]:{justifyContent:"flex-end"},[`${Ut}-pagination-right`]:{justifyContent:"flex-start"},[`${Ut}-row-expand-icon`]:{float:"right","&::after":{transform:"rotate(-90deg)"},"&-collapsed::before":{transform:"rotate(180deg)"},"&-collapsed::after":{transform:"rotate(0deg)"}},[`${Ut}-container`]:{"&::before":{insetInlineStart:"unset",insetInlineEnd:0},"&::after":{insetInlineStart:0,insetInlineEnd:"unset"},[`${Ut}-row-indent`]:{float:"right"}}}}},vi=_t=>{const{componentCls:Ut,antCls:un,iconCls:Sn,fontSizeIcon:_n,padding:Un,paddingXS:gr,tableHeaderIconColor:ur,tableHeaderIconColorHover:dr,tableSelectionColumnWidth:Lr}=_t;return{[`${Ut}-wrapper`]:{[`${Ut}-selection-col`]:{width:Lr,[`&${Ut}-selection-col-with-dropdown`]:{width:Lr+_n+Un/4}},[`${Ut}-bordered ${Ut}-selection-col`]:{width:Lr+gr*2,[`&${Ut}-selection-col-with-dropdown`]:{width:Lr+_n+Un/4+gr*2}},[` table tr th${Ut}-selection-column, table tr td${Ut}-selection-column - `]:{paddingInlineEnd:Ft.paddingXS,paddingInlineStart:Ft.paddingXS,textAlign:"center",[`${un}-radio-wrapper`]:{marginInlineEnd:0}},[`table tr th${Ut}-selection-column${Ut}-cell-fix-left`]:{zIndex:Ft.zIndexTableFixed+1},[`table tr th${Ut}-selection-column::after`]:{backgroundColor:"transparent !important"},[`${Ut}-selection`]:{position:"relative",display:"inline-flex",flexDirection:"column"},[`${Ut}-selection-extra`]:{position:"absolute",top:0,zIndex:1,cursor:"pointer",transition:`all ${Ft.motionDurationSlow}`,marginInlineStart:"100%",paddingInlineStart:`${Ft.tablePaddingHorizontal/4}px`,[Sn]:{color:ur,fontSize:_n,verticalAlign:"baseline","&:hover":{color:dr}}}}}},hi=Ft=>{const{componentCls:Ut}=Ft,un=(Sn,_n,Un,gr)=>({[`${Ut}${Ut}-${Sn}`]:{fontSize:gr,[` + `]:{paddingInlineEnd:_t.paddingXS,paddingInlineStart:_t.paddingXS,textAlign:"center",[`${un}-radio-wrapper`]:{marginInlineEnd:0}},[`table tr th${Ut}-selection-column${Ut}-cell-fix-left`]:{zIndex:_t.zIndexTableFixed+1},[`table tr th${Ut}-selection-column::after`]:{backgroundColor:"transparent !important"},[`${Ut}-selection`]:{position:"relative",display:"inline-flex",flexDirection:"column"},[`${Ut}-selection-extra`]:{position:"absolute",top:0,zIndex:1,cursor:"pointer",transition:`all ${_t.motionDurationSlow}`,marginInlineStart:"100%",paddingInlineStart:`${_t.tablePaddingHorizontal/4}px`,[Sn]:{color:ur,fontSize:_n,verticalAlign:"baseline","&:hover":{color:dr}}}}}},hi=_t=>{const{componentCls:Ut}=_t,un=(Sn,_n,Un,gr)=>({[`${Ut}${Ut}-${Sn}`]:{fontSize:gr,[` ${Ut}-title, ${Ut}-footer, ${Ut}-cell, @@ -421,10 +421,10 @@ ${oe}`)}function ue(pt,xe,Le){return(pt>=0&&Le?` ${ve(pt,xe-1)}`:ve(pt,xe)).padE ${Ut}-tbody > tr > td, tfoot > tr > th, tfoot > tr > td - `]:{padding:`${_n}px ${Un}px`},[`${Ut}-filter-trigger`]:{marginInlineEnd:`-${Un/2}px`},[`${Ut}-expanded-row-fixed`]:{margin:`-${_n}px -${Un}px`},[`${Ut}-tbody`]:{[`${Ut}-wrapper:only-child ${Ut}`]:{marginBlock:`-${_n}px`,marginInline:`${Ft.tableExpandColumnWidth-Un}px -${Un}px`}},[`${Ut}-selection-column`]:{paddingInlineStart:`${Un/4}px`}}});return{[`${Ut}-wrapper`]:Object.assign(Object.assign({},un("middle",Ft.tablePaddingVerticalMiddle,Ft.tablePaddingHorizontalMiddle,Ft.tableFontSizeMiddle)),un("small",Ft.tablePaddingVerticalSmall,Ft.tablePaddingHorizontalSmall,Ft.tableFontSizeSmall))}},Ni=Ft=>{const{componentCls:Ut,marginXXS:un,fontSizeIcon:Sn,tableHeaderIconColor:_n,tableHeaderIconColorHover:Un}=Ft;return{[`${Ut}-wrapper`]:{[`${Ut}-thead th${Ut}-column-has-sorters`]:{outline:"none",cursor:"pointer",transition:`all ${Ft.motionDurationSlow}`,"&:hover":{background:Ft.tableHeaderSortHoverBg,"&::before":{backgroundColor:"transparent !important"}},"&:focus-visible":{color:Ft.colorPrimary},[` + 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ht=be.buildLayerMatrix(mt);_e.forEach(ht,function(vt){var jt=0;_e.forEach(vt,function(qt,en){var mn=mt.node(qt);mn.order=en+jt,_e.forEach(mn.selfEdges,function(Ot){be.addDummyNode(mt,"selfedge",{width:Ot.label.width,height:Ot.label.height,rank:mn.rank,order:en+ ++jt,e:Ot.e,label:Ot.label},"_se")}),delete mn.selfEdges})})}function nt(mt){_e.forEach(mt.nodes(),function(ht){var vt=mt.node(ht);if(vt.dummy==="selfedge"){var jt=mt.node(vt.e.v),qt=jt.x+jt.width/2,en=jt.y,mn=vt.x-qt,Ot=jt.height/2;mt.setEdge(vt.e,vt.label),mt.removeNode(ht),vt.label.points=[{x:qt+2*mn/3,y:en-Ot},{x:qt+5*mn/6,y:en-Ot},{x:qt+mn,y:en},{x:qt+5*mn/6,y:en+Ot},{x:qt+2*mn/3,y:en+Ot}],vt.label.x=vt.x,vt.label.y=vt.y}})}function dt(mt,ht){return _e.mapValues(_e.pick(mt,ht),Number)}function At(mt){var ht={};return _e.forEach(mt,function(vt,jt){ht[jt.toLowerCase()]=vt}),ht}},72361:function(Pt,Lt,Oe){var 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Pe={},ge=0;function Ee(we){var Me=ge;_e.forEach(ke.children(we),Ee),Pe[we]={low:Me,lim:ge++}}return _e.forEach(ke.children(),Ee),Pe}},92080:function(Pt,Lt,Oe){"use strict";var _e=Oe(72361),Ve=Oe(76626).Graph,Re=Oe(53063);Pt.exports={positionX:te,findType1Conflicts:Ce,findType2Conflicts:ke,addConflict:ge,hasConflict:Ee,verticalAlignment:we,horizontalCompaction:Me,alignCoordinates:be,findSmallestWidthAlignment:ye,balance:ce};function Ce(oe,de){var he={};function ie(ue,ve){var Se=0,De=0,Ne=ue.length,Be=_e.last(ve);return _e.forEach(ve,function(We,Ge){var Xe=Pe(oe,We),Ye=Xe?oe.node(Xe).order:Ne;(Xe||We===Be)&&(_e.forEach(ve.slice(De,Ge+1),function(rt){_e.forEach(oe.predecessors(rt),function($e){var qe=oe.node($e),ut=qe.order;(utBe)&&ge(he,Xe,We)})})}function ue(ve,Se){var De=-1,Ne,Be=0;return _e.forEach(Se,function(We,Ge){if(oe.node(We).dummy==="border"){var 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ie[0]=ue[0]/ve[0],ie[1]=ue[1]/ve[1],ie[2]=ue[2]/ve[2],ie[3]=ue[3]/ve[3],ie},te.div=te.divide,te.min=function(ie,ue,ve){return ie[0]=Math.min(ue[0],ve[0]),ie[1]=Math.min(ue[1],ve[1]),ie[2]=Math.min(ue[2],ve[2]),ie[3]=Math.min(ue[3],ve[3]),ie},te.max=function(ie,ue,ve){return ie[0]=Math.max(ue[0],ve[0]),ie[1]=Math.max(ue[1],ve[1]),ie[2]=Math.max(ue[2],ve[2]),ie[3]=Math.max(ue[3],ve[3]),ie},te.scale=function(ie,ue,ve){return ie[0]=ue[0]*ve,ie[1]=ue[1]*ve,ie[2]=ue[2]*ve,ie[3]=ue[3]*ve,ie},te.scaleAndAdd=function(ie,ue,ve,Se){return ie[0]=ue[0]+ve[0]*Se,ie[1]=ue[1]+ve[1]*Se,ie[2]=ue[2]+ve[2]*Se,ie[3]=ue[3]+ve[3]*Se,ie},te.distance=function(ie,ue){var ve=ue[0]-ie[0],Se=ue[1]-ie[1],De=ue[2]-ie[2],Ne=ue[3]-ie[3];return Math.sqrt(ve*ve+Se*Se+De*De+Ne*Ne)},te.dist=te.distance,te.squaredDistance=function(ie,ue){var ve=ue[0]-ie[0],Se=ue[1]-ie[1],De=ue[2]-ie[2],Ne=ue[3]-ie[3];return ve*ve+Se*Se+De*De+Ne*Ne},te.sqrDist=te.squaredDistance,te.length=function(ie){var ue=ie[0],ve=ie[1],Se=ie[2],De=ie[3];return Math.sqrt(ue*ue+ve*ve+Se*Se+De*De)},te.len=te.length,te.squaredLength=function(ie){var ue=ie[0],ve=ie[1],Se=ie[2],De=ie[3];return ue*ue+ve*ve+Se*Se+De*De},te.sqrLen=te.squaredLength,te.negate=function(ie,ue){return ie[0]=-ue[0],ie[1]=-ue[1],ie[2]=-ue[2],ie[3]=-ue[3],ie},te.inverse=function(ie,ue){return ie[0]=1/ue[0],ie[1]=1/ue[1],ie[2]=1/ue[2],ie[3]=1/ue[3],ie},te.normalize=function(ie,ue){var ve=ue[0],Se=ue[1],De=ue[2],Ne=ue[3],Be=ve*ve+Se*Se+De*De+Ne*Ne;return Be>0&&(Be=1/Math.sqrt(Be),ie[0]=ue[0]*Be,ie[1]=ue[1]*Be,ie[2]=ue[2]*Be,ie[3]=ue[3]*Be),ie},te.dot=function(ie,ue){return ie[0]*ue[0]+ie[1]*ue[1]+ie[2]*ue[2]+ie[3]*ue[3]},te.lerp=function(ie,ue,ve,Se){var De=ue[0],Ne=ue[1],Be=ue[2],We=ue[3];return ie[0]=De+Se*(ve[0]-De),ie[1]=Ne+Se*(ve[1]-Ne),ie[2]=Be+Se*(ve[2]-Be),ie[3]=We+Se*(ve[3]-We),ie},te.random=function(ie,ue){return ue=ue||1,ie[0]=Me(),ie[1]=Me(),ie[2]=Me(),ie[3]=Me(),te.normalize(ie,ie),te.scale(ie,ie,ue),ie},te.transformMat4=function(ie,ue,ve){var Se=ue[0],De=ue[1],Ne=ue[2],Be=ue[3];return ie[0]=ve[0]*Se+ve[4]*De+ve[8]*Ne+ve[12]*Be,ie[1]=ve[1]*Se+ve[5]*De+ve[9]*Ne+ve[13]*Be,ie[2]=ve[2]*Se+ve[6]*De+ve[10]*Ne+ve[14]*Be,ie[3]=ve[3]*Se+ve[7]*De+ve[11]*Ne+ve[15]*Be,ie},te.transformQuat=function(ie,ue,ve){var Se=ue[0],De=ue[1],Ne=ue[2],Be=ve[0],We=ve[1],Ge=ve[2],Xe=ve[3],Ye=Xe*Se+We*Ne-Ge*De,rt=Xe*De+Ge*Se-Be*Ne,$e=Xe*Ne+Be*De-We*Se,qe=-Be*Se-We*De-Ge*Ne;return ie[0]=Ye*Xe+qe*-Be+rt*-Ge-$e*-We,ie[1]=rt*Xe+qe*-We+$e*-Be-Ye*-Ge,ie[2]=$e*Xe+qe*-Ge+Ye*-We-rt*-Be,ie},te.forEach=function(){var ie=te.create();return function(ue,ve,Se,De,Ne,Be){var We,Ge;for(ve||(ve=4),Se||(Se=0),De?Ge=Math.min(De*ve+Se,ue.length):Ge=ue.length,We=Se;We.999999?(Se[0]=0,Se[1]=0,Se[2]=0,Se[3]=1,Se):(ce.cross(ie,De,Ne),Se[0]=ie[0],Se[1]=ie[1],Se[2]=ie[2],Se[3]=1+Be,he.normalize(Se,Se))}}(),he.setAxes=function(){var ie=oe.create();return function(ue,ve,Se,De){return ie[0]=Se[0],ie[3]=Se[1],ie[6]=Se[2],ie[1]=De[0],ie[4]=De[1],ie[7]=De[2],ie[2]=-ve[0],ie[5]=-ve[1],ie[8]=-ve[2],he.normalize(ue,he.fromMat3(ue,ie))}}(),he.clone=te.clone,he.fromValues=te.fromValues,he.copy=te.copy,he.set=te.set,he.identity=function(ie){return ie[0]=0,ie[1]=0,ie[2]=0,ie[3]=1,ie},he.setAxisAngle=function(ie,ue,ve){ve=ve*.5;var Se=Math.sin(ve);return ie[0]=Se*ue[0],ie[1]=Se*ue[1],ie[2]=Se*ue[2],ie[3]=Math.cos(ve),ie},he.add=te.add,he.multiply=function(ie,ue,ve){var Se=ue[0],De=ue[1],Ne=ue[2],Be=ue[3],We=ve[0],Ge=ve[1],Xe=ve[2],Ye=ve[3];return ie[0]=Se*Ye+Be*We+De*Xe-Ne*Ge,ie[1]=De*Ye+Be*Ge+Ne*We-Se*Xe,ie[2]=Ne*Ye+Be*Xe+Se*Ge-De*We,ie[3]=Be*Ye-Se*We-De*Ge-Ne*Xe,ie},he.mul=he.multiply,he.scale=te.scale,he.rotateX=function(ie,ue,ve){ve*=.5;var Se=ue[0],De=ue[1],Ne=ue[2],Be=ue[3],We=Math.sin(ve),Ge=Math.cos(ve);return ie[0]=Se*Ge+Be*We,ie[1]=De*Ge+Ne*We,ie[2]=Ne*Ge-De*We,ie[3]=Be*Ge-Se*We,ie},he.rotateY=function(ie,ue,ve){ve*=.5;var Se=ue[0],De=ue[1],Ne=ue[2],Be=ue[3],We=Math.sin(ve),Ge=Math.cos(ve);return ie[0]=Se*Ge-Ne*We,ie[1]=De*Ge+Be*We,ie[2]=Ne*Ge+Se*We,ie[3]=Be*Ge-De*We,ie},he.rotateZ=function(ie,ue,ve){ve*=.5;var Se=ue[0],De=ue[1],Ne=ue[2],Be=ue[3],We=Math.sin(ve),Ge=Math.cos(ve);return ie[0]=Se*Ge+De*We,ie[1]=De*Ge-Se*We,ie[2]=Ne*Ge+Be*We,ie[3]=Be*Ge-Ne*We,ie},he.calculateW=function(ie,ue){var ve=ue[0],Se=ue[1],De=ue[2];return ie[0]=ve,ie[1]=Se,ie[2]=De,ie[3]=Math.sqrt(Math.abs(1-ve*ve-Se*Se-De*De)),ie},he.dot=te.dot,he.lerp=te.lerp,he.slerp=function(ie,ue,ve,Se){var De=ue[0],Ne=ue[1],Be=ue[2],We=ue[3],Ge=ve[0],Xe=ve[1],Ye=ve[2],rt=ve[3],$e,qe,ut,it,ct;return qe=De*Ge+Ne*Xe+Be*Ye+We*rt,qe<0&&(qe=-qe,Ge=-Ge,Xe=-Xe,Ye=-Ye,rt=-rt),1-qe>1e-6?($e=Math.acos(qe),ut=Math.sin($e),it=Math.sin((1-Se)*$e)/ut,ct=Math.sin(Se*$e)/ut):(it=1-Se,ct=Se),ie[0]=it*De+ct*Ge,ie[1]=it*Ne+ct*Xe,ie[2]=it*Be+ct*Ye,ie[3]=it*We+ct*rt,ie},he.invert=function(ie,ue){var ve=ue[0],Se=ue[1],De=ue[2],Ne=ue[3],Be=ve*ve+Se*Se+De*De+Ne*Ne,We=Be?1/Be:0;return ie[0]=-ve*We,ie[1]=-Se*We,ie[2]=-De*We,ie[3]=Ne*We,ie},he.conjugate=function(ie,ue){return ie[0]=-ue[0],ie[1]=-ue[1],ie[2]=-ue[2],ie[3]=ue[3],ie},he.length=te.length,he.len=he.length,he.squaredLength=te.squaredLength,he.sqrLen=he.squaredLength,he.normalize=te.normalize,he.fromMat3=function(ie,ue){var ve=ue[0]+ue[4]+ue[8],Se;if(ve>0)Se=Math.sqrt(ve+1),ie[3]=.5*Se,Se=.5/Se,ie[0]=(ue[5]-ue[7])*Se,ie[1]=(ue[6]-ue[2])*Se,ie[2]=(ue[1]-ue[3])*Se;else{var De=0;ue[4]>ue[0]&&(De=1),ue[8]>ue[De*3+De]&&(De=2);var Ne=(De+1)%3,Be=(De+2)%3;Se=Math.sqrt(ue[De*3+De]-ue[Ne*3+Ne]-ue[Be*3+Be]+1),ie[De]=.5*Se,Se=.5/Se,ie[3]=(ue[Ne*3+Be]-ue[Be*3+Ne])*Se,ie[Ne]=(ue[Ne*3+De]+ue[De*3+Ne])*Se,ie[Be]=(ue[Be*3+De]+ue[De*3+Be])*Se}return ie},he.str=function(ie){return"quat("+ie[0]+", "+ie[1]+", "+ie[2]+", "+ie[3]+")"},typeof ge!="undefined"&&(ge.quat=he)}(Pe.exports)})(this)},function(Ve,Re,Ce){"use strict";var ke=Ce(24),Pe=Ce(46),ge=Ce(5),Ee=Ce(6),we=Ce(7),Me=Ce(17),pe=Ce(28),ye=Ce(13),be=Ce(0),ce=Ce.n(be),te=Ce(29),ne=Ce(53),le=Ce.n(ne),oe=Ce(54),de=Ce(106),he=Ce(107),ie=Ce(113),ue=Ce(114),ve=Ce(3),Se=Ce(68),De=Ce(37),Ne=Ce(69),Be=Ce(116),We=Ce(70),Ge=Ce(71),Xe=Ce(72),Ye=Ce(36),rt=Ce(30),$e=Ce(23),qe=Ce(4),ut=Ce(117),it=Ce(50),ct=Ce(118),nt=Ce(119),dt=Ce(120),At=Ce(9),mt=Ce(67),ht=Ce(49),vt=Ce(15),jt=Ce(52),qt=Ce(121),en=Ce(126),mn=Ce(63),Ot=Ce(127),an=Ce(128),nn=Ce(129),Dn=Ce(130),Nn=Ce(131),sn=Ce(132);ce.a.util.extend(pe.a.prototype,qt.a),we.a.import(en.a),we.a.import(mn.a),we.a.import(Ot.a),we.a.import(an.a),we.a.import(nn.a),we.a.import(Dn.a),we.a.import(Nn.a),we.a.import(sn.a);function fn(Mt){return!Mt||Mt==="none"}function Kt(Mt){return Mt instanceof HTMLCanvasElement||Mt instanceof HTMLImageElement||Mt instanceof Image}function Tt(Mt){return Mt.getZr&&Mt.setOption}var yt=te.a.prototype.addToScene,Gt=te.a.prototype.removeFromScene;te.a.prototype.addToScene=function(Mt){if(yt.call(this,Mt),this.__zr){var rn=this.__zr;Mt.traverse(function(On){On.__zr=rn,On.addAnimatorsToZr&&On.addAnimatorsToZr(rn)})}},te.a.prototype.removeFromScene=function(Mt){Gt.call(this,Mt),Mt.traverse(function(rn){var On=rn.__zr;rn.__zr=null,On&&rn.removeAnimatorsFromZr&&rn.removeAnimatorsFromZr(On)})},Me.a.prototype.setTextureImage=function(Mt,rn,On,zn){if(this.shader){var Gn=On.getZr(),nr=this,Xn;return nr.autoUpdateTextureStatus=!1,nr.disableTexture(Mt),fn(rn)||(Xn=gt.loadTexture(rn,On,zn,function($t){nr.enableTexture(Mt),Gn&&Gn.refresh()}),nr.set(Mt,Xn)),Xn}};var gt={};gt.Renderer=Pe.a,gt.Node=pe.a,gt.Mesh=ke.a,gt.Shader=we.a,gt.Material=Me.a,gt.Texture=Ee.a,gt.Texture2D=ge.a,gt.Geometry=ye.a,gt.SphereGeometry=Se.a,gt.PlaneGeometry=De.a,gt.CubeGeometry=Ne.a,gt.AmbientLight=Be.a,gt.DirectionalLight=We.a,gt.PointLight=Ge.a,gt.SpotLight=Xe.a,gt.PerspectiveCamera=Ye.a,gt.OrthographicCamera=rt.a,gt.Vector2=$e.a,gt.Vector3=qe.a,gt.Vector4=ut.a,gt.Quaternion=it.a,gt.Matrix2=ct.a,gt.Matrix2d=nt.a,gt.Matrix3=dt.a,gt.Matrix4=At.a,gt.Plane=mt.a,gt.Ray=ht.a,gt.BoundingBox=vt.a,gt.Frustum=jt.a;var St=oe.a.createBlank("rgba(255,255,255,0)").image;function Qt(Mt){return Math.pow(2,Math.round(Math.log(Mt)/Math.LN2))}function Nt(Mt){if((Mt.wrapS===Ee.a.REPEAT||Mt.wrapT===Ee.a.REPEAT)&&Mt.image){var rn=Qt(Mt.width),On=Qt(Mt.height);if(rn!==Mt.width||On!==Mt.height){var zn=document.createElement("canvas");zn.width=rn,zn.height=On;var Gn=zn.getContext("2d");Gn.drawImage(Mt.image,0,0,rn,On),Mt.image=zn}}}gt.loadTexture=function(Mt,rn,On,zn){typeof On=="function"&&(zn=On,On={}),On=On||{};for(var Gn=Object.keys(On).sort(),nr="",Xn=0;Xn3?rn[3]=Mt[3]:rn[3]=1,rn):(rn=ce.a.color.parse(Mt||"#000",rn)||[0,0,0,0],rn[0]/=255,rn[1]/=255,rn[2]/=255,rn)},gt.directionFromAlphaBeta=function(Mt,rn){var On=Mt/180*Math.PI+Math.PI/2,zn=-rn/180*Math.PI+Math.PI/2,Gn=[],nr=Math.sin(On);return Gn[0]=nr*Math.cos(zn),Gn[1]=-Math.cos(On),Gn[2]=nr*Math.sin(zn),Gn},gt.getShadowResolution=function(Mt){var rn=1024;switch(Mt){case"low":rn=512;break;case"medium":break;case"high":rn=2048;break;case"ultra":rn=4096;break}return rn},gt.COMMON_SHADERS=["lambert","color","realistic","hatching"],gt.createShader=function(Mt){var rn=we.a.source(Mt+".vertex"),On=we.a.source(Mt+".fragment");rn||console.error("Vertex shader of '%s' not exits",Mt),On||console.error("Fragment shader of '%s' not exits",Mt);var zn=new we.a(rn,On);return zn.name=Mt,zn},gt.createMaterial=function(Mt,rn){rn instanceof Array||(rn=[rn]);var On=gt.createShader(Mt),zn=new Me.a({shader:On});return rn.forEach(function(Gn){typeof Gn=="string"&&zn.define(Gn)}),zn},gt.setMaterialFromModel=function(Mt,rn,On,zn){rn.autoUpdateTextureStatus=!1;var Gn=On.getModel(Mt+"Material"),nr=Gn.get("detailTexture"),Xn=ve.a.firstNotNull(Gn.get("textureTiling"),1),$t=ve.a.firstNotNull(Gn.get("textureOffset"),0);typeof Xn=="number"&&(Xn=[Xn,Xn]),typeof $t=="number"&&($t=[$t,$t]);var gn=Xn[0]>1||Xn[1]>1?gt.Texture.REPEAT:gt.Texture.CLAMP_TO_EDGE,jn={anisotropic:8,wrapS:gn,wrapT:gn};if(Mt==="realistic"){var Ln=Gn.get("roughness"),Sr=Gn.get("metalness");Sr!=null?isNaN(Sr)&&(rn.setTextureImage("metalnessMap",Sr,zn,jn),Sr=ve.a.firstNotNull(Gn.get("metalnessAdjust"),.5)):Sr=0,Ln!=null?isNaN(Ln)&&(rn.setTextureImage("roughnessMap",Ln,zn,jn),Ln=ve.a.firstNotNull(Gn.get("roughnessAdjust"),.5)):Ln=.5;var Ur=Gn.get("normalTexture");rn.setTextureImage("detailMap",nr,zn,jn),rn.setTextureImage("normalMap",Ur,zn,jn),rn.set({roughness:Ln,metalness:Sr,detailUvRepeat:Xn,detailUvOffset:$t})}else if(Mt==="lambert")rn.setTextureImage("detailMap",nr,zn,jn),rn.set({detailUvRepeat:Xn,detailUvOffset:$t});else if(Mt==="color")rn.setTextureImage("detailMap",nr,zn,jn),rn.set({detailUvRepeat:Xn,detailUvOffset:$t});else if(Mt==="hatching"){var Mr=Gn.get("hatchingTextures")||[];Mr.length<6&&console.error("Invalid hatchingTextures.");for(var Gr=0;Gr<6;Gr++)rn.setTextureImage("hatch"+(Gr+1),Mr[Gr],zn,{anisotropic:8,wrapS:gt.Texture.REPEAT,wrapT:gt.Texture.REPEAT});rn.set({detailUvRepeat:Xn,detailUvOffset:$t})}},gt.updateVertexAnimation=function(Mt,rn,On,zn){var Gn=zn.get("animation"),nr=zn.get("animationDurationUpdate"),Xn=zn.get("animationEasingUpdate"),$t=On.shadowDepthMaterial;if(Gn&&rn&&nr>0&&rn.geometry.vertexCount===On.geometry.vertexCount){On.material.define("vertex","VERTEX_ANIMATION"),On.ignorePreZ=!0,$t&&$t.define("vertex","VERTEX_ANIMATION");for(var gn=0;gnle?le:te}var ye=Math.atan2,be=Math.asin,ce=Math.abs;Ee.eulerFromQuat=function(te,ne,Be){te._dirty=!0,ne=ne.array;var oe=te.array,de=ne[0],he=ne[1],ie=ne[2],ue=ne[3],ve=de*de,Se=he*he,De=ie*ie,Ne=ue*ue,Be=(Be||"XYZ").toUpperCase();switch(Be){case"XYZ":oe[0]=ye(2*(de*ue-he*ie),Ne-ve-Se+De),oe[1]=be(pe(2*(de*ie+he*ue),-1,1)),oe[2]=ye(2*(ie*ue-de*he),Ne+ve-Se-De);break;case"YXZ":oe[0]=be(pe(2*(de*ue-he*ie),-1,1)),oe[1]=ye(2*(de*ie+he*ue),Ne-ve-Se+De),oe[2]=ye(2*(de*he+ie*ue),Ne-ve+Se-De);break;case"ZXY":oe[0]=be(pe(2*(de*ue+he*ie),-1,1)),oe[1]=ye(2*(he*ue-ie*de),Ne-ve-Se+De),oe[2]=ye(2*(ie*ue-de*he),Ne-ve+Se-De);break;case"ZYX":oe[0]=ye(2*(de*ue+ie*he),Ne-ve-Se+De),oe[1]=be(pe(2*(he*ue-de*ie),-1,1)),oe[2]=ye(2*(de*he+ie*ue),Ne+ve-Se-De);break;case"YZX":oe[0]=ye(2*(de*ue-ie*he),Ne-ve+Se-De),oe[1]=ye(2*(he*ue-de*ie),Ne+ve-Se-De),oe[2]=be(pe(2*(de*he+ie*ue),-1,1));break;case"XZY":oe[0]=ye(2*(de*ue+he*ie),Ne-ve+Se-De),oe[1]=ye(2*(de*ie+he*ue),Ne+ve-Se-De),oe[2]=be(pe(2*(ie*ue-de*he),-1,1));break;default:console.warn("Unkown order: "+Be)}return te},Ee.eulerFromMat3=function(te,ne,Ge){var oe=ne.array,de=oe[0],he=oe[3],ie=oe[6],ue=oe[1],ve=oe[4],Se=oe[7],De=oe[2],Ne=oe[5],Be=oe[8],We=te.array,Ge=(Ge||"XYZ").toUpperCase();switch(Ge){case"XYZ":We[1]=be(pe(ie,-1,1)),ce(ie)<.99999?(We[0]=ye(-Se,Be),We[2]=ye(-he,de)):(We[0]=ye(Ne,ve),We[2]=0);break;case"YXZ":We[0]=be(-pe(Se,-1,1)),ce(Se)<.99999?(We[1]=ye(ie,Be),We[2]=ye(ue,ve)):(We[1]=ye(-De,de),We[2]=0);break;case"ZXY":We[0]=be(pe(Ne,-1,1)),ce(Ne)<.99999?(We[1]=ye(-De,Be),We[2]=ye(-he,ve)):(We[1]=0,We[2]=ye(ue,de));break;case"ZYX":We[1]=be(-pe(De,-1,1)),ce(De)<.99999?(We[0]=ye(Ne,Be),We[2]=ye(ue,de)):(We[0]=0,We[2]=ye(-he,ve));break;case"YZX":We[2]=be(pe(ue,-1,1)),ce(ue)<.99999?(We[0]=ye(-Se,ve),We[1]=ye(-De,de)):(We[0]=0,We[1]=ye(ie,Be));break;case"XZY":We[2]=be(-pe(he,-1,1)),ce(he)<.99999?(We[0]=ye(Ne,ve),We[1]=ye(ie,de)):(We[0]=ye(-Se,Be),We[1]=0);break;default:console.warn("Unkown order: "+Ge)}return te._dirty=!0,te},Ee.POSITIVE_X=new Ee(1,0,0),Ee.NEGATIVE_X=new Ee(-1,0,0),Ee.POSITIVE_Y=new Ee(0,1,0),Ee.NEGATIVE_Y=new Ee(0,-1,0),Ee.POSITIVE_Z=new Ee(0,0,1),Ee.NEGATIVE_Z=new Ee(0,0,-1),Ee.UP=new Ee(0,1,0),Ee.ZERO=new Ee(0,0,0),Re.a=Ee},function(Ve,Re,Ce){"use strict";var ke=Ce(6),Pe=Ce(11),ge=Ce(66),Ee=ge.a.isPowerOfTwo,we=ke.a.extend(function(){return{image:null,pixels:null,mipmaps:[]}},{update:function(Me){var pe=Me.gl;pe.bindTexture(pe.TEXTURE_2D,this._cache.get("webgl_texture")),this.updateCommon(Me);var ye=this.format,be=this.type;pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_WRAP_S,this.getAvailableWrapS()),pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_WRAP_T,this.getAvailableWrapT()),pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_MAG_FILTER,this.getAvailableMagFilter()),pe.texParameteri(pe.TEXTURE_2D,pe.TEXTURE_MIN_FILTER,this.getAvailableMinFilter());var ce=Me.getGLExtension("EXT_texture_filter_anisotropic");if(ce&&this.anisotropic>1&&pe.texParameterf(pe.TEXTURE_2D,ce.TEXTURE_MAX_ANISOTROPY_EXT,this.anisotropic),be===36193){var te=Me.getGLExtension("OES_texture_half_float");te||(be=Pe.a.FLOAT)}if(this.mipmaps.length)for(var ne=this.width,le=this.height,oe=0;oe=ke.a.COMPRESSED_RGB_S3TC_DXT1_EXT?Me.compressedTexImage2D(Me.TEXTURE_2D,ye,te,be,ce,0,pe.pixels):Me.texImage2D(Me.TEXTURE_2D,ye,te,be,ce,0,te,ne,pe.pixels)},generateMipmap:function(Me){var pe=Me.gl;this.useMipmap&&!this.NPOT&&(pe.bindTexture(pe.TEXTURE_2D,this._cache.get("webgl_texture")),pe.generateMipmap(pe.TEXTURE_2D))},isPowerOfTwo:function(){var Me,pe;return this.image?(Me=this.image.width,pe=this.image.height):(Me=this.width,pe=this.height),Ee(Me)&&Ee(pe)},isRenderable:function(){return this.image?this.image.nodeName==="CANVAS"||this.image.nodeName==="VIDEO"||this.image.complete:!!(this.width&&this.height)},bind:function(Me){Me.gl.bindTexture(Me.gl.TEXTURE_2D,this.getWebGLTexture(Me))},unbind:function(Me){Me.gl.bindTexture(Me.gl.TEXTURE_2D,null)},load:function(Me,pe){var ye=new Image;pe&&(ye.crossOrigin=pe);var be=this;return ye.onload=function(){be.dirty(),be.trigger("success",be),ye.onload=null},ye.onerror=function(){be.trigger("error",be),ye.onerror=null},ye.src=Me,this.image=ye,this}});Object.defineProperty(we.prototype,"width",{get:function(){return this.image?this.image.width:this._width},set:function(Me){this.image?console.warn("Texture from image can't set width"):(this._width!==Me&&this.dirty(),this._width=Me)}}),Object.defineProperty(we.prototype,"height",{get:function(){return this.image?this.image.height:this._height},set:function(Me){this.image?console.warn("Texture from image can't set height"):(this._height!==Me&&this.dirty(),this._height=Me)}}),Re.a=we},function(Ve,Re,Ce){"use strict";var ke=Ce(8),Pe=Ce(11),ge=Ce(48),Ee=ke.a.extend({width:512,height:512,type:Pe.a.UNSIGNED_BYTE,format:Pe.a.RGBA,wrapS:Pe.a.REPEAT,wrapT:Pe.a.REPEAT,minFilter:Pe.a.LINEAR_MIPMAP_LINEAR,magFilter:Pe.a.LINEAR,useMipmap:!0,anisotropic:1,flipY:!0,sRGB:!0,unpackAlignment:4,premultiplyAlpha:!1,dynamic:!1,NPOT:!1},function(){this._cache=new ge.a},{getWebGLTexture:function(we){var Me=we.gl,pe=this._cache;return pe.use(we.__uid__),pe.miss("webgl_texture")&&pe.put("webgl_texture",Me.createTexture()),this.dynamic?this.update(we):pe.isDirty()&&(this.update(we),pe.fresh()),pe.get("webgl_texture")},bind:function(){},unbind:function(){},dirty:function(){this._cache&&this._cache.dirtyAll()},update:function(we){},updateCommon:function(we){var Me=we.gl;Me.pixelStorei(Me.UNPACK_FLIP_Y_WEBGL,this.flipY),Me.pixelStorei(Me.UNPACK_PREMULTIPLY_ALPHA_WEBGL,this.premultiplyAlpha),Me.pixelStorei(Me.UNPACK_ALIGNMENT,this.unpackAlignment),this.format===Pe.a.DEPTH_COMPONENT&&(this.useMipmap=!1);var pe=we.getGLExtension("EXT_sRGB");this.format===Ee.SRGB&&!pe&&(this.format=Ee.RGB),this.format===Ee.SRGB_ALPHA&&!pe&&(this.format=Ee.RGBA),this.NPOT=!this.isPowerOfTwo()},getAvailableWrapS:function(){return this.NPOT?Pe.a.CLAMP_TO_EDGE:this.wrapS},getAvailableWrapT:function(){return this.NPOT?Pe.a.CLAMP_TO_EDGE:this.wrapT},getAvailableMinFilter:function(){var we=this.minFilter;return this.NPOT||!this.useMipmap?we==Pe.a.NEAREST_MIPMAP_NEAREST||we==Pe.a.NEAREST_MIPMAP_LINEAR?Pe.a.NEAREST:we==Pe.a.LINEAR_MIPMAP_LINEAR||we==Pe.a.LINEAR_MIPMAP_NEAREST?Pe.a.LINEAR:we:we},getAvailableMagFilter:function(){return this.magFilter},nextHighestPowerOfTwo:function(we){--we;for(var Me=1;Me<32;Me<<=1)we=we|we>>Me;return we+1},dispose:function(we){var Me=this._cache;Me.use(we.__uid__);var pe=Me.get("webgl_texture");pe&&we.gl.deleteTexture(pe),Me.deleteContext(we.__uid__)},isRenderable:function(){},isPowerOfTwo:function(){}});Object.defineProperty(Ee.prototype,"width",{get:function(){return 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pe.create()},array:function(){return[]}},le=["POSITION","NORMAL","BINORMAL","TANGENT","TEXCOORD","TEXCOORD_0","TEXCOORD_1","COLOR","JOINT","WEIGHT"],oe=["SKIN_MATRIX","VIEWPORT_SIZE","VIEWPORT","DEVICEPIXELRATIO","WINDOW_SIZE","NEAR","FAR","TIME"],de=["WORLD","VIEW","PROJECTION","WORLDVIEW","VIEWPROJECTION","WORLDVIEWPROJECTION","WORLDINVERSE","VIEWINVERSE","PROJECTIONINVERSE","WORLDVIEWINVERSE","VIEWPROJECTIONINVERSE","WORLDVIEWPROJECTIONINVERSE","WORLDTRANSPOSE","VIEWTRANSPOSE","PROJECTIONTRANSPOSE","WORLDVIEWTRANSPOSE","VIEWPROJECTIONTRANSPOSE","WORLDVIEWPROJECTIONTRANSPOSE","WORLDINVERSETRANSPOSE","VIEWINVERSETRANSPOSE","PROJECTIONINVERSETRANSPOSE","WORLDVIEWINVERSETRANSPOSE","VIEWPROJECTIONINVERSETRANSPOSE","WORLDVIEWPROJECTIONINVERSETRANSPOSE"],he={},ie={};function ue(Ne,Be){var We="vertex:"+Ne+"fragment:"+Be;if(he[We])return he[We];var Ge=ke.a.genGUID();return he[We]=Ge,ie[Ge]={vertex:Ne,fragment:Be},Ge}function ve(Ne,Be){typeof Ne=="object"&&(Be=Ne.fragment,Ne=Ne.vertex),this._shaderID=ue(Ne,Be),this._vertexCode=ve.parseImport(Ne),this._fragmentCode=ve.parseImport(Be),this.attributeSemantics={},this.matrixSemantics={},this.uniformSemantics={},this.matrixSemanticKeys=[],this.uniformTemplates={},this.attributes={},this.textures={},this.vertexDefines={},this.fragmentDefines={},this._parseAttributes(),this._parseUniforms(),this._parseDefines()}ve.prototype={constructor:ve,createUniforms:function(){var Ne={};for(var Be in this.uniformTemplates){var We=this.uniformTemplates[Be];Ne[Be]={type:We.type,value:We.value()}}return Ne},_parseImport:function(){this._vertexCode=ve.parseImport(this.vertex),this._fragmentCode=ve.parseImport(this.fragment)},_parseUniforms:function(){var Ne={},Be=this,We="vertex";this._uniformList=[],this._vertexCode=this._vertexCode.replace(ye,Ge),We="fragment",this._fragmentCode=this._fragmentCode.replace(ye,Ge),Be.matrixSemanticKeys=Object.keys(this.matrixSemantics);function 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ht=Number.POSITIVE_INFINITY,vt=0,jt=Number.POSITIVE_INFINITY,qt=0,en=mt.graph(),mn=en.marginx||0,Ot=en.marginy||0;function an(nn){var Dn=nn.x,Nn=nn.y,sn=nn.width,fn=nn.height;ht=Math.min(ht,Dn-sn/2),vt=Math.max(vt,Dn+sn/2),jt=Math.min(jt,Nn-fn/2),qt=Math.max(qt,Nn+fn/2)}_e.forEach(mt.nodes(),function(nn){an(mt.node(nn))}),_e.forEach(mt.edges(),function(nn){var Dn=mt.edge(nn);_e.has(Dn,"x")&&an(Dn)}),ht-=mn,jt-=Ot,_e.forEach(mt.nodes(),function(nn){var Dn=mt.node(nn);Dn.x-=ht,Dn.y-=jt}),_e.forEach(mt.edges(),function(nn){var Dn=mt.edge(nn);_e.forEach(Dn.points,function(Nn){Nn.x-=ht,Nn.y-=jt}),_e.has(Dn,"x")&&(Dn.x-=ht),_e.has(Dn,"y")&&(Dn.y-=jt)}),en.width=vt-ht+mn,en.height=qt-jt+Ot}function rt(mt){_e.forEach(mt.edges(),function(ht){var vt=mt.edge(ht),jt=mt.node(ht.v),qt=mt.node(ht.w),en,mn;vt.points?(en=vt.points[0],mn=vt.points[vt.points.length-1]):(vt.points=[],en=qt,mn=jt),vt.points.unshift(be.intersectRect(jt,en)),vt.points.push(be.intersectRect(qt,mn))})}function 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ht=be.buildLayerMatrix(mt);_e.forEach(ht,function(vt){var jt=0;_e.forEach(vt,function(qt,en){var mn=mt.node(qt);mn.order=en+jt,_e.forEach(mn.selfEdges,function(Ot){be.addDummyNode(mt,"selfedge",{width:Ot.label.width,height:Ot.label.height,rank:mn.rank,order:en+ ++jt,e:Ot.e,label:Ot.label},"_se")}),delete mn.selfEdges})})}function nt(mt){_e.forEach(mt.nodes(),function(ht){var vt=mt.node(ht);if(vt.dummy==="selfedge"){var jt=mt.node(vt.e.v),qt=jt.x+jt.width/2,en=jt.y,mn=vt.x-qt,Ot=jt.height/2;mt.setEdge(vt.e,vt.label),mt.removeNode(ht),vt.label.points=[{x:qt+2*mn/3,y:en-Ot},{x:qt+5*mn/6,y:en-Ot},{x:qt+mn,y:en},{x:qt+5*mn/6,y:en+Ot},{x:qt+2*mn/3,y:en+Ot}],vt.label.x=vt.x,vt.label.y=vt.y}})}function dt(mt,ht){return _e.mapValues(_e.pick(mt,ht),Number)}function At(mt){var ht={};return _e.forEach(mt,function(vt,jt){ht[jt.toLowerCase()]=vt}),ht}},72361:function(Pt,Lt,Oe){var _e;try{_e={cloneDeep:Oe(20250),constant:Oe(13503),defaults:Oe(28548),each:Oe(76934),filter:Oe(64725),find:Oe(79785),flatten:Oe(40151),forEach:Oe(99204),forIn:Oe(23190),has:Oe(99946),isUndefined:Oe(16513),last:Oe(10611),map:Oe(9924),mapValues:Oe(70642),max:Oe(95987),merge:Oe(28440),min:Oe(73376),minBy:Oe(83296),now:Oe(5795),pick:Oe(89409),range:Oe(60859),reduce:Oe(16473),sortBy:Oe(351),uniqueId:Oe(95708),values:Oe(81229),zipObject:Oe(65441)}}catch(Ve){}_e||(_e=window._),Pt.exports=_e},31733:function(Pt,Lt,Oe){var _e=Oe(72361),Ve=Oe(53063);Pt.exports={run:Re,cleanup:ge};function Re(Ee){var we=Ve.addDummyNode(Ee,"root",{},"_root"),Me=ke(Ee),pe=_e.max(_e.values(Me))-1,ye=2*pe+1;Ee.graph().nestingRoot=we,_e.forEach(Ee.edges(),function(ce){Ee.edge(ce).minlen*=ye});var be=Pe(Ee)+1;_e.forEach(Ee.children(),function(ce){Ce(Ee,we,ye,be,pe,Me,ce)}),Ee.graph().nodeRankFactor=ye}function Ce(Ee,we,Me,pe,ye,be,ce){var te=Ee.children(ce);if(!te.length){ce!==we&&Ee.setEdge(we,ce,{weight:0,minlen:Me});return}var ne=Ve.addBorderNode(Ee,"_bt"),le=Ve.addBorderNode(Ee,"_bb"),oe=Ee.node(ce);Ee.setParent(ne,ce),oe.borderTop=ne,Ee.setParent(le,ce),oe.borderBottom=le,_e.forEach(te,function(de){Ce(Ee,we,Me,pe,ye,be,de);var he=Ee.node(de),ie=he.borderTop?he.borderTop:de,ue=he.borderBottom?he.borderBottom:de,ve=he.borderTop?pe:2*pe,Se=ie!==ue?1:ye-be[ce]+1;Ee.setEdge(ne,ie,{weight:ve,minlen:Se,nestingEdge:!0}),Ee.setEdge(ue,le,{weight:ve,minlen:Se,nestingEdge:!0})}),Ee.parent(ce)||Ee.setEdge(we,ne,{weight:0,minlen:ye+be[ce]})}function ke(Ee){var we={};function Me(pe,ye){var be=Ee.children(pe);be&&be.length&&_e.forEach(be,function(ce){Me(ce,ye+1)}),we[pe]=ye}return _e.forEach(Ee.children(),function(pe){Me(pe,1)}),we}function Pe(Ee){return _e.reduce(Ee.edges(),function(we,Me){return we+Ee.edge(Me).weight},0)}function ge(Ee){var we=Ee.graph();Ee.removeNode(we.nestingRoot),delete we.nestingRoot,_e.forEach(Ee.edges(),function(Me){var pe=Ee.edge(Me);pe.nestingEdge&&Ee.removeEdge(Me)})}},27163:function(Pt,Lt,Oe){"use strict";var _e=Oe(72361),Ve=Oe(53063);Pt.exports={run:Re,undo:ke};function Re(Pe){Pe.graph().dummyChains=[],_e.forEach(Pe.edges(),function(ge){Ce(Pe,ge)})}function Ce(Pe,ge){var Ee=ge.v,we=Pe.node(Ee).rank,Me=ge.w,pe=Pe.node(Me).rank,ye=ge.name,be=Pe.edge(ge),ce=be.labelRank;if(pe!==we+1){Pe.removeEdge(ge);var te,ne,le;for(le=0,++we;we0;)ce%2&&(te+=pe[ce+1]),ce=ce-1>>1,pe[ce]+=be.weight;ye+=be.weight*te})),ye}},62852:function(Pt,Lt,Oe){"use strict";var _e=Oe(72361),Ve=Oe(18043),Re=Oe(45456),Ce=Oe(86490),ke=Oe(59105),Pe=Oe(52205),ge=Oe(76626).Graph,Ee=Oe(53063);Pt.exports=we;function we(be){var ce=Ee.maxRank(be),te=Me(be,_e.range(1,ce+1),"inEdges"),ne=Me(be,_e.range(ce-1,-1,-1),"outEdges"),le=Ve(be);ye(be,le);for(var oe=Number.POSITIVE_INFINITY,de,he=0,ie=0;ie<4;++he,++ie){pe(he%2?te:ne,he%4>=2),le=Ee.buildLayerMatrix(be);var 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ve=ke(Ee,ue.v,Me,pe);ne[ue.v]=ve,_e.has(ve,"barycenter")&&ge(ue,ve)}});var oe=Re(le,Me);Pe(oe,ne);var de=Ce(oe,pe);if(ce&&(de.vs=_e.flatten([ce,de.vs,te],!0),Ee.predecessors(ce).length)){var he=Ee.node(Ee.predecessors(ce)[0]),ie=Ee.node(Ee.predecessors(te)[0]);_e.has(de,"barycenter")||(de.barycenter=0,de.weight=0),de.barycenter=(de.barycenter*de.weight+he.order+ie.order)/(de.weight+2),de.weight+=2}return de}function Pe(Ee,we){_e.forEach(Ee,function(Me){Me.vs=_e.flatten(Me.vs.map(function(pe){return we[pe]?we[pe].vs:pe}),!0)})}function ge(Ee,we){_e.isUndefined(Ee.barycenter)?(Ee.barycenter=we.barycenter,Ee.weight=we.weight):(Ee.barycenter=(Ee.barycenter*Ee.weight+we.barycenter*we.weight)/(Ee.weight+we.weight),Ee.weight+=we.weight)}},1349:function(Pt,Lt,Oe){var _e=Oe(72361),Ve=Oe(53063);Pt.exports=Re;function Re(Pe,ge){var Ee=Ve.partition(Pe,function(ne){return _e.has(ne,"barycenter")}),we=Ee.lhs,Me=_e.sortBy(Ee.rhs,function(ne){return-ne.i}),pe=[],ye=0,be=0,ce=0;we.sort(ke(!!ge)),ce=Ce(pe,Me,ce),_e.forEach(we,function(ne){ce+=ne.vs.length,pe.push(ne.vs),ye+=ne.barycenter*ne.weight,be+=ne.weight,ce=Ce(pe,Me,ce)});var te={vs:_e.flatten(pe,!0)};return be&&(te.barycenter=ye/be,te.weight=be),te}function Ce(Pe,ge,Ee){for(var we;ge.length&&(we=_e.last(ge)).i<=Ee;)ge.pop(),Pe.push(we.vs),Ee++;return Ee}function ke(Pe){return function(ge,Ee){return ge.barycenterEe.barycenter?1:Pe?Ee.i-ge.i:ge.i-Ee.i}}},71970:function(Pt,Lt,Oe){var _e=Oe(72361);Pt.exports=Ve;function Ve(ke){var Pe=Ce(ke);_e.forEach(ke.graph().dummyChains,function(ge){for(var Ee=ke.node(ge),we=Ee.edgeObj,Me=Re(ke,Pe,we.v,we.w),pe=Me.path,ye=Me.lca,be=0,ce=pe[be],te=!0;ge!==we.w;){if(Ee=ke.node(ge),te){for(;(ce=pe[be])!==ye&&ke.node(ce).maxRankpe||ye>Pe[be].lim));for(ce=be,be=Ee;(be=ke.parent(be))!==ce;)Me.push(be);return{path:we.concat(Me.reverse()),lca:ce}}function Ce(ke){var Pe={},ge=0;function Ee(we){var Me=ge;_e.forEach(ke.children(we),Ee),Pe[we]={low:Me,lim:ge++}}return _e.forEach(ke.children(),Ee),Pe}},92080:function(Pt,Lt,Oe){"use strict";var _e=Oe(72361),Ve=Oe(76626).Graph,Re=Oe(53063);Pt.exports={positionX:te,findType1Conflicts:Ce,findType2Conflicts:ke,addConflict:ge,hasConflict:Ee,verticalAlignment:we,horizontalCompaction:Me,alignCoordinates:be,findSmallestWidthAlignment:ye,balance:ce};function Ce(oe,de){var he={};function ie(ue,ve){var Se=0,De=0,Ne=ue.length,Be=_e.last(ve);return _e.forEach(ve,function(We,Ge){var Xe=Pe(oe,We),Ye=Xe?oe.node(Xe).order:Ne;(Xe||We===Be)&&(_e.forEach(ve.slice(De,Ge+1),function(rt){_e.forEach(oe.predecessors(rt),function($e){var qe=oe.node($e),ut=qe.order;(utBe)&&ge(he,Xe,We)})})}function ue(ve,Se){var De=-1,Ne,Be=0;return _e.forEach(Se,function(We,Ge){if(oe.node(We).dummy==="border"){var 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Ce.node(ke.w).rank-Ce.node(ke.v).rank-Ce.edge(ke).minlen}},53063:function(Pt,Lt,Oe){"use strict";var _e=Oe(72361),Ve=Oe(76626).Graph;Pt.exports={addDummyNode:Re,simplify:Ce,asNonCompoundGraph:ke,successorWeights:Pe,predecessorWeights:ge,intersectRect:Ee,buildLayerMatrix:we,normalizeRanks:Me,removeEmptyRanks:pe,addBorderNode:ye,maxRank:be,partition:ce,time:te,notime:ne};function Re(le,oe,de,he){var ie;do ie=_e.uniqueId(he);while(le.hasNode(ie));return de.dummy=oe,le.setNode(ie,de),ie}function Ce(le){var oe=new Ve().setGraph(le.graph());return _e.forEach(le.nodes(),function(de){oe.setNode(de,le.node(de))}),_e.forEach(le.edges(),function(de){var he=oe.edge(de.v,de.w)||{weight:0,minlen:1},ie=le.edge(de);oe.setEdge(de.v,de.w,{weight:he.weight+ie.weight,minlen:Math.max(he.minlen,ie.minlen)})}),oe}function ke(le){var oe=new Ve({multigraph:le.isMultigraph()}).setGraph(le.graph());return 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ke=Ce(24),Pe=Ce(46),ge=Ce(5),Ee=Ce(6),we=Ce(7),Me=Ce(17),pe=Ce(28),ye=Ce(13),be=Ce(0),ce=Ce.n(be),te=Ce(29),ne=Ce(53),le=Ce.n(ne),oe=Ce(54),de=Ce(106),he=Ce(107),ie=Ce(113),ue=Ce(114),ve=Ce(3),Se=Ce(68),De=Ce(37),Ne=Ce(69),Be=Ce(116),We=Ce(70),Ge=Ce(71),Xe=Ce(72),Ye=Ce(36),rt=Ce(30),$e=Ce(23),qe=Ce(4),ut=Ce(117),it=Ce(50),ct=Ce(118),nt=Ce(119),dt=Ce(120),At=Ce(9),mt=Ce(67),ht=Ce(49),vt=Ce(15),jt=Ce(52),qt=Ce(121),en=Ce(126),mn=Ce(63),Ot=Ce(127),an=Ce(128),nn=Ce(129),Dn=Ce(130),Nn=Ce(131),sn=Ce(132);ce.a.util.extend(pe.a.prototype,qt.a),we.a.import(en.a),we.a.import(mn.a),we.a.import(Ot.a),we.a.import(an.a),we.a.import(nn.a),we.a.import(Dn.a),we.a.import(Nn.a),we.a.import(sn.a);function fn(Mt){return!Mt||Mt==="none"}function Kt(Mt){return Mt instanceof HTMLCanvasElement||Mt instanceof HTMLImageElement||Mt instanceof Image}function Tt(Mt){return Mt.getZr&&Mt.setOption}var 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gt={};gt.Renderer=Pe.a,gt.Node=pe.a,gt.Mesh=ke.a,gt.Shader=we.a,gt.Material=Me.a,gt.Texture=Ee.a,gt.Texture2D=ge.a,gt.Geometry=ye.a,gt.SphereGeometry=Se.a,gt.PlaneGeometry=De.a,gt.CubeGeometry=Ne.a,gt.AmbientLight=Be.a,gt.DirectionalLight=We.a,gt.PointLight=Ge.a,gt.SpotLight=Xe.a,gt.PerspectiveCamera=Ye.a,gt.OrthographicCamera=rt.a,gt.Vector2=$e.a,gt.Vector3=qe.a,gt.Vector4=ut.a,gt.Quaternion=it.a,gt.Matrix2=ct.a,gt.Matrix2d=nt.a,gt.Matrix3=dt.a,gt.Matrix4=At.a,gt.Plane=mt.a,gt.Ray=ht.a,gt.BoundingBox=vt.a,gt.Frustum=jt.a;var St=oe.a.createBlank("rgba(255,255,255,0)").image;function Qt(Mt){return Math.pow(2,Math.round(Math.log(Mt)/Math.LN2))}function Nt(Mt){if((Mt.wrapS===Ee.a.REPEAT||Mt.wrapT===Ee.a.REPEAT)&&Mt.image){var rn=Qt(Mt.width),On=Qt(Mt.height);if(rn!==Mt.width||On!==Mt.height){var zn=document.createElement("canvas");zn.width=rn,zn.height=On;var Gn=zn.getContext("2d");Gn.drawImage(Mt.image,0,0,rn,On),Mt.image=zn}}}gt.loadTexture=function(Mt,rn,On,zn){typeof 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oe=ne.array,de=oe[0],he=oe[3],ie=oe[6],ue=oe[1],ve=oe[4],Se=oe[7],De=oe[2],Ne=oe[5],Be=oe[8],We=te.array,Ge=(Ge||"XYZ").toUpperCase();switch(Ge){case"XYZ":We[1]=be(pe(ie,-1,1)),ce(ie)<.99999?(We[0]=ye(-Se,Be),We[2]=ye(-he,de)):(We[0]=ye(Ne,ve),We[2]=0);break;case"YXZ":We[0]=be(-pe(Se,-1,1)),ce(Se)<.99999?(We[1]=ye(ie,Be),We[2]=ye(ue,ve)):(We[1]=ye(-De,de),We[2]=0);break;case"ZXY":We[0]=be(pe(Ne,-1,1)),ce(Ne)<.99999?(We[1]=ye(-De,Be),We[2]=ye(-he,ve)):(We[1]=0,We[2]=ye(ue,de));break;case"ZYX":We[1]=be(-pe(De,-1,1)),ce(De)<.99999?(We[0]=ye(Ne,Be),We[2]=ye(ue,de)):(We[0]=0,We[2]=ye(-he,ve));break;case"YZX":We[2]=be(pe(ue,-1,1)),ce(ue)<.99999?(We[0]=ye(-Se,ve),We[1]=ye(-De,de)):(We[0]=0,We[1]=ye(ie,Be));break;case"XZY":We[2]=be(-pe(he,-1,1)),ce(he)<.99999?(We[0]=ye(Ne,ve),We[1]=ye(ie,de)):(We[0]=ye(-Se,Be),We[1]=0);break;default:console.warn("Unkown order: "+Ge)}return te._dirty=!0,te},Ee.POSITIVE_X=new Ee(1,0,0),Ee.NEGATIVE_X=new Ee(-1,0,0),Ee.POSITIVE_Y=new Ee(0,1,0),Ee.NEGATIVE_Y=new 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0}initCea608Parsers(){const t=new es(this,"textTrack1"),n=new es(this,"textTrack2"),o=new es(this,"textTrack3"),m=new es(this,"textTrack4");this.cea608Parser1=new bc(1,t,n),this.cea608Parser2=new bc(3,o,m)}addCues(t,n,o,m,E){let C=!1;for(let U=E.length;U--;){const H=E[U],$=ul(H[0],H[1],n,o);if($>=0&&(H[0]=Math.min(H[0],n),H[1]=Math.max(H[1],o),C=!0,$/(o-n)>.5))return}if(C||E.push([n,o]),this.config.renderTextTracksNatively){const U=this.captionsTracks[t];this.Cues.newCue(U,n,o,m)}else{const U=this.Cues.newCue(null,n,o,m);this.hls.trigger(s.CUES_PARSED,{type:"captions",cues:U,track:t})}}onInitPtsFound(t,{frag:n,id:o,initPTS:m,timescale:E}){const{unparsedVttFrags:C}=this;o===u.MAIN&&(this.initPTS[n.cc]={baseTime:m,timescale:E}),C.length&&(this.unparsedVttFrags=[],C.forEach(U=>{this.onFragLoaded(s.FRAG_LOADED,U)}))}getExistingTrack(t,n){const{media:o}=this;if(o)for(let m=0;m{Mu(m[E]),delete m[E]}),this.nonNativeCaptionsTracks={}}onManifestLoading(){this.lastCc=-1,this.lastSn=-1,this.lastPartIndex=-1,this.prevCC=-1,this.vttCCs=ll(),this._cleanTracks(),this.tracks=[],this.captionsTracks={},this.nonNativeCaptionsTracks={},this.textTracks=[],this.unparsedVttFrags=[],this.initPTS=[],this.cea608Parser1&&this.cea608Parser2&&(this.cea608Parser1.reset(),this.cea608Parser2.reset())}_cleanTracks(){const{media:t}=this;if(!t)return;const n=t.textTracks;if(n)for(let o=0;oE.textCodec===$u);if(this.config.enableWebVTT||m&&this.config.enableIMSC1){if(oc(this.tracks,o)){this.tracks=o;return}if(this.textTracks=[],this.tracks=o,this.config.renderTextTracksNatively){const C=this.media,U=C?Dc(C.textTracks):null;if(this.tracks.forEach((H,$)=>{let ae;if(U){let ce=null;for(let xe=0;xe$!==null).map($=>$.label);H.length&&this.hls.logger.warn(`Media element contains unused subtitle tracks: ${H.join(", ")}. 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0:m.index)!=null?o:-1;E&&C&&($!==U+1||$===U&&ae!==this.lastPartIndex+1||H!==this.lastCc)&&(E.reset(),C.reset()),this.lastCc=H,this.lastSn=$,this.lastPartIndex=ae}}onFragLoaded(t,n){const{frag:o,payload:m}=n;if(o.type===u.SUBTITLE)if(m.byteLength){const E=o.decryptdata,C="stats"in n;if(E==null||!E.encrypted||C){const U=this.tracks[o.level],H=this.vttCCs;H[o.cc]||(H[o.cc]={start:o.start,prevCC:this.prevCC,new:!0},this.prevCC=o.cc),U&&U.textCodec===$u?this._parseIMSC1(o,m):this._parseVTTs(n)}}else this.hls.trigger(s.SUBTITLE_FRAG_PROCESSED,{success:!1,frag:o,error:new Error("Empty subtitle payload")})}_parseIMSC1(t,n){const o=this.hls;nc(n,this.initPTS[t.cc],m=>{this._appendCues(m,t.level),o.trigger(s.SUBTITLE_FRAG_PROCESSED,{success:!0,frag:t})},m=>{o.logger.log(`Failed to parse IMSC1: ${m}`),o.trigger(s.SUBTITLE_FRAG_PROCESSED,{success:!1,frag:t,error:m})})}_parseVTTs(t){var n;const{frag:o,payload:m}=t,{initPTS:E,unparsedVttFrags:C}=this,U=E.length-1;if(!E[o.cc]&&U===-1){C.push(t);return}const H=this.hls,$=(n=o.initSegment)!=null&&n.data?Gt(o.initSegment.data,new Uint8Array(m)).buffer:m;hu($,this.initPTS[o.cc],this.vttCCs,o.cc,o.start,ae=>{this._appendCues(ae,o.level),H.trigger(s.SUBTITLE_FRAG_PROCESSED,{success:!0,frag:o})},ae=>{const ce=ae.message==="Missing initPTS for VTT MPEGTS";ce?C.push(t):this._fallbackToIMSC1(o,m),H.logger.log(`Failed to parse VTT cue: ${ae}`),!(ce&&U>o.cc)&&H.trigger(s.SUBTITLE_FRAG_PROCESSED,{success:!1,frag:o,error:ae})})}_fallbackToIMSC1(t,n){const o=this.tracks[t.level];o.textCodec||nc(n,this.initPTS[t.cc],()=>{o.textCodec=$u,this._parseIMSC1(t,n)},()=>{o.textCodec="wvtt"})}_appendCues(t,n){const o=this.hls;if(this.config.renderTextTracksNatively){const m=this.textTracks[n];if(!m||m.mode==="disabled")return;t.forEach(E=>vc(m,E))}else{const m=this.tracks[n];if(!m)return;const E=m.default?"default":"subtitles"+n;o.trigger(s.CUES_PARSED,{type:"subtitles",cues:t,track:E})}}onFragDecrypted(t,n){const{frag:o}=n;o.type===u.SUBTITLE&&this.onFragLoaded(s.FRAG_LOADED,n)}onSubtitleTracksCleared(){this.tracks=[],this.captionsTracks={}}onFragParsingUserdata(t,n){if(!this.enabled||!this.config.enableCEA708Captions)return;const{frag:o,samples:m}=n;if(!(o.type===u.MAIN&&this.closedCaptionsForLevel(o)==="NONE"))for(let E=0;EZo(U[H],n,o))}if(this.config.renderTextTracksNatively&&n===0&&m!==void 0){const{textTracks:U}=this;Object.keys(U).forEach(H=>Zo(U[H],n,m))}}}extractCea608Data(t){const n=[[],[]],o=t[0]&31;let m=2;for(let E=0;E=16?H--:H++;const Te=ol($.trim()),De=Ll(t,n,Te);P!=null&&(ce=P.cues)!=null&&ce.getCueById(De)||(C=new ae(t,n,Te),C.id=De,C.line=xe+1,C.align="left",C.position=10+Math.min(80,Math.floor(H*8/32)*10),m.push(C))}return P&&m.length&&(m.sort((xe,Te)=>xe.line==="auto"||Te.line==="auto"?0:xe.line>8&&Te.line>8?Te.line-xe.line:xe.line-Te.line),m.forEach(xe=>vc(P,xe))),m}};function Fl(){if(self.fetch&&self.AbortController&&self.ReadableStream&&self.Request)try{return new self.ReadableStream({}),!0}catch(P){}return!1}const Sf=/(\d+)-(\d+)\/(\d+)/;class xc{constructor(t){this.fetchSetup=void 0,this.requestTimeout=void 0,this.request=null,this.response=null,this.controller=void 0,this.context=null,this.config=null,this.callbacks=null,this.stats=void 0,this.loader=null,this.fetchSetup=t.fetchSetup||Of,this.controller=new self.AbortController,this.stats=new z}destroy(){this.loader=this.callbacks=this.context=this.config=this.request=null,this.abortInternal(),this.response=null,this.fetchSetup=this.controller=this.stats=null}abortInternal(){this.controller&&!this.stats.loading.end&&(this.stats.aborted=!0,this.controller.abort())}abort(){var t;this.abortInternal(),(t=this.callbacks)!=null&&t.onAbort&&this.callbacks.onAbort(this.stats,this.context,this.response)}load(t,n,o){const m=this.stats;if(m.loading.start)throw new Error("Loader can only be used once.");m.loading.start=self.performance.now();const E=Jc(t,this.controller.signal),C=t.responseType==="arraybuffer",U=C?"byteLength":"length",{maxTimeToFirstByteMs:H,maxLoadTimeMs:$}=n.loadPolicy;this.context=t,this.config=n,this.callbacks=o,this.request=this.fetchSetup(t,E),self.clearTimeout(this.requestTimeout),n.timeout=H&&r(H)?H:$,this.requestTimeout=self.setTimeout(()=>{this.callbacks&&(this.abortInternal(),this.callbacks.onTimeout(m,t,this.response))},n.timeout),(Iu(this.request)?this.request.then(self.fetch):self.fetch(this.request)).then(ce=>{var xe;this.response=this.loader=ce;const Te=Math.max(self.performance.now(),m.loading.start);if(self.clearTimeout(this.requestTimeout),n.timeout=$,this.requestTimeout=self.setTimeout(()=>{this.callbacks&&(this.abortInternal(),this.callbacks.onTimeout(m,t,this.response))},$-(Te-m.loading.start)),!ce.ok){const{status:tt,statusText:at}=ce;throw new Xu(at||"fetch, bad network response",tt,ce)}m.loading.first=Te,m.total=cl(ce.headers)||m.total;const De=(xe=this.callbacks)==null?void 0:xe.onProgress;return De&&r(n.highWaterMark)?this.loadProgressively(ce,m,t,n.highWaterMark,De):C?ce.arrayBuffer():t.responseType==="json"?ce.json():ce.text()}).then(ce=>{var xe,Te;const De=this.response;if(!De)throw new Error("loader destroyed");self.clearTimeout(this.requestTimeout),m.loading.end=Math.max(self.performance.now(),m.loading.first);const tt=ce[U];tt&&(m.loaded=m.total=tt);const at={url:De.url,data:ce,code:De.status},Bt=(xe=this.callbacks)==null?void 0:xe.onProgress;Bt&&!r(n.highWaterMark)&&Bt(m,t,ce,De),(Te=this.callbacks)==null||Te.onSuccess(at,m,t,De)}).catch(ce=>{var xe;if(self.clearTimeout(this.requestTimeout),m.aborted)return;const Te=ce&&ce.code||0,De=ce?ce.message:null;(xe=this.callbacks)==null||xe.onError({code:Te,text:De},t,ce?ce.details:null,m)})}getCacheAge(){let t=null;if(this.response){const n=this.response.headers.get("age");t=n?parseFloat(n):null}return t}getResponseHeader(t){return this.response?this.response.headers.get(t):null}loadProgressively(t,n,o,m=0,E){const C=new ci,U=t.body.getReader(),H=()=>U.read().then($=>{if($.done)return C.dataLength&&E(n,o,C.flush().buffer,t),Promise.resolve(new ArrayBuffer(0));const ae=$.value,ce=ae.length;return n.loaded+=ce,ce=m&&E(n,o,C.flush().buffer,t)):E(n,o,ae.buffer,t),H()}).catch(()=>Promise.reject());return H()}}function Jc(P,t){const n={method:"GET",mode:"cors",credentials:"same-origin",signal:t,headers:new self.Headers(y({},P.headers))};return P.rangeEnd&&n.headers.set("Range","bytes="+P.rangeStart+"-"+String(P.rangeEnd-1)),n}function hf(P){const t=Sf.exec(P);if(t)return parseInt(t[2])-parseInt(t[1])+1}function cl(P){const t=P.get("Content-Range");if(t){const o=hf(t);if(r(o))return o}const n=P.get("Content-Length");if(n)return parseInt(n)}function Of(P,t){return new self.Request(P.url,t)}class Xu extends Error{constructor(t,n,o){super(t),this.code=void 0,this.details=void 0,this.code=n,this.details=o}}const Lc=/^age:\s*[\d.]+\s*$/im;class ef{constructor(t){this.xhrSetup=void 0,this.requestTimeout=void 0,this.retryTimeout=void 0,this.retryDelay=void 0,this.config=null,this.callbacks=null,this.context=null,this.loader=null,this.stats=void 0,this.xhrSetup=t&&t.xhrSetup||null,this.stats=new z,this.retryDelay=0}destroy(){this.callbacks=null,this.abortInternal(),this.loader=null,this.config=null,this.context=null,this.xhrSetup=null}abortInternal(){const t=this.loader;self.clearTimeout(this.requestTimeout),self.clearTimeout(this.retryTimeout),t&&(t.onreadystatechange=null,t.onprogress=null,t.readyState!==4&&(this.stats.aborted=!0,t.abort()))}abort(){var t;this.abortInternal(),(t=this.callbacks)!=null&&t.onAbort&&this.callbacks.onAbort(this.stats,this.context,this.loader)}load(t,n,o){if(this.stats.loading.start)throw new Error("Loader can only be used once.");this.stats.loading.start=self.performance.now(),this.context=t,this.config=n,this.callbacks=o,this.loadInternal()}loadInternal(){const{config:t,context:n}=this;if(!t||!n)return;const o=this.loader=new self.XMLHttpRequest,m=this.stats;m.loading.first=0,m.loaded=0,m.aborted=!1;const E=this.xhrSetup;E?Promise.resolve().then(()=>{if(!(this.loader!==o||this.stats.aborted))return E(o,n.url)}).catch(C=>{if(!(this.loader!==o||this.stats.aborted))return o.open("GET",n.url,!0),E(o,n.url)}).then(()=>{this.loader!==o||this.stats.aborted||this.openAndSendXhr(o,n,t)}).catch(C=>{var U;(U=this.callbacks)==null||U.onError({code:o.status,text:C.message},n,o,m)}):this.openAndSendXhr(o,n,t)}openAndSendXhr(t,n,o){t.readyState||t.open("GET",n.url,!0);const m=n.headers,{maxTimeToFirstByteMs:E,maxLoadTimeMs:C}=o.loadPolicy;if(m)for(const U in m)t.setRequestHeader(U,m[U]);n.rangeEnd&&t.setRequestHeader("Range","bytes="+n.rangeStart+"-"+(n.rangeEnd-1)),t.onreadystatechange=this.readystatechange.bind(this),t.onprogress=this.loadprogress.bind(this),t.responseType=n.responseType,self.clearTimeout(this.requestTimeout),o.timeout=E&&r(E)?E:C,this.requestTimeout=self.setTimeout(this.loadtimeout.bind(this),o.timeout),t.send()}readystatechange(){const{context:t,loader:n,stats:o}=this;if(!t||!n)return;const m=n.readyState,E=this.config;if(!o.aborted&&m>=2&&(o.loading.first===0&&(o.loading.first=Math.max(self.performance.now(),o.loading.start),E.timeout!==E.loadPolicy.maxLoadTimeMs&&(self.clearTimeout(this.requestTimeout),E.timeout=E.loadPolicy.maxLoadTimeMs,this.requestTimeout=self.setTimeout(this.loadtimeout.bind(this),E.loadPolicy.maxLoadTimeMs-(o.loading.first-o.loading.start)))),m===4)){self.clearTimeout(this.requestTimeout),n.onreadystatechange=null,n.onprogress=null;const $=n.status,ae=n.responseType==="text"?n.responseText:null;if($>=200&&$<300){const De=ae!=null?ae:n.response;if(De!=null){var C,U;o.loading.end=Math.max(self.performance.now(),o.loading.first);const tt=n.responseType==="arraybuffer"?De.byteLength:De.length;o.loaded=o.total=tt,o.bwEstimate=o.total*8e3/(o.loading.end-o.loading.first);const at=(C=this.callbacks)==null?void 0:C.onProgress;at&&at(o,t,De,n);const Bt={url:n.responseURL,data:De,code:$};(U=this.callbacks)==null||U.onSuccess(Bt,o,t,n);return}}const ce=E.loadPolicy.errorRetry,xe=o.retry,Te={url:t.url,data:void 0,code:$};if(ze(ce,xe,!1,Te))this.retry(ce);else{var H;Y.error(`${$} while loading ${t.url}`),(H=this.callbacks)==null||H.onError({code:$,text:n.statusText},t,n,o)}}}loadtimeout(){if(!this.config)return;const t=this.config.loadPolicy.timeoutRetry,n=this.stats.retry;if(ze(t,n,!0))this.retry(t);else{var o;Y.warn(`timeout while loading ${(o=this.context)==null?void 0:o.url}`);const m=this.callbacks;m&&(this.abortInternal(),m.onTimeout(this.stats,this.context,this.loader))}}retry(t){const{context:n,stats:o}=this;this.retryDelay=Ir(t,o.retry),o.retry++,Y.warn(`${status?"HTTP Status "+status:"Timeout"} while loading ${n==null?void 0:n.url}, retrying ${o.retry}/${t.maxNumRetry} in ${this.retryDelay}ms`),this.abortInternal(),this.loader=null,self.clearTimeout(this.retryTimeout),this.retryTimeout=self.setTimeout(this.loadInternal.bind(this),this.retryDelay)}loadprogress(t){const n=this.stats;n.loaded=t.loaded,t.lengthComputable&&(n.total=t.total)}getCacheAge(){let t=null;if(this.loader&&Lc.test(this.loader.getAllResponseHeaders())){const n=this.loader.getResponseHeader("age");t=n?parseFloat(n):null}return t}getResponseHeader(t){return this.loader&&new RegExp(`^${t}:\\s*[\\d.]+\\s*$`,"im").test(this.loader.getAllResponseHeaders())?this.loader.getResponseHeader(t):null}}const Ho={maxTimeToFirstByteMs:8e3,maxLoadTimeMs:2e4,timeoutRetry:null,errorRetry:null},tf=b(b({autoStartLoad:!0,startPosition:-1,defaultAudioCodec:void 0,debug:!1,capLevelOnFPSDrop:!1,capLevelToPlayerSize:!1,ignoreDevicePixelRatio:!1,maxDevicePixelRatio:Number.POSITIVE_INFINITY,preferManagedMediaSource:!0,initialLiveManifestSize:1,maxBufferLength:30,backBufferLength:1/0,frontBufferFlushThreshold:1/0,maxBufferSize:60*1e3*1e3,maxFragLookUpTolerance:.25,maxBufferHole:.1,detectStallWithCurrentTimeMs:1250,highBufferWatchdogPeriod:2,nudgeOffset:.1,nudgeMaxRetry:3,nudgeOnVideoHole:!0,liveSyncDurationCount:3,liveSyncOnStallIncrease:1,liveMaxLatencyDurationCount:1/0,liveSyncDuration:void 0,liveMaxLatencyDuration:void 0,maxLiveSyncPlaybackRate:1,liveDurationInfinity:!1,liveBackBufferLength:null,maxMaxBufferLength:600,enableWorker:!0,workerPath:null,enableSoftwareAES:!0,startLevel:void 0,startFragPrefetch:!1,fpsDroppedMonitoringPeriod:5e3,fpsDroppedMonitoringThreshold:.2,appendErrorMaxRetry:3,ignorePlaylistParsingErrors:!1,loader:ef,fLoader:void 0,pLoader:void 0,xhrSetup:void 0,licenseXhrSetup:void 0,licenseResponseCallback:void 0,abrController:Gi,bufferController:Hu,capLevelController:cc,errorController:ir,fpsController:nl,stretchShortVideoTrack:!1,maxAudioFramesDrift:1,forceKeyFrameOnDiscontinuity:!0,abrEwmaFastLive:3,abrEwmaSlowLive:9,abrEwmaFastVoD:3,abrEwmaSlowVoD:9,abrEwmaDefaultEstimate:5e5,abrEwmaDefaultEstimateMax:5e6,abrBandWidthFactor:.95,abrBandWidthUpFactor:.7,abrMaxWithRealBitrate:!1,maxStarvationDelay:4,maxLoadingDelay:4,minAutoBitrate:0,emeEnabled:!1,widevineLicenseUrl:void 0,drmSystems:{},drmSystemOptions:{},requestMediaKeySystemAccessFunc:Fa,testBandwidth:!0,progressive:!1,lowLatencyMode:!0,cmcd:void 0,enableDateRangeMetadataCues:!0,enableEmsgMetadataCues:!0,enableEmsgKLVMetadata:!1,enableID3MetadataCues:!0,enableInterstitialPlayback:!0,interstitialAppendInPlace:!0,interstitialLiveLookAhead:10,useMediaCapabilities:!0,certLoadPolicy:{default:Ho},keyLoadPolicy:{default:{maxTimeToFirstByteMs:8e3,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:2e4,backoff:"linear"},errorRetry:{maxNumRetry:8,retryDelayMs:1e3,maxRetryDelayMs:2e4,backoff:"linear"}}},manifestLoadPolicy:{default:{maxTimeToFirstByteMs:1/0,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},playlistLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:2,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},fragLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:12e4,timeoutRetry:{maxNumRetry:4,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:6,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},steeringManifestLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},interstitialAssetListLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:3e4,timeoutRetry:{maxNumRetry:0,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:0,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},manifestLoadingTimeOut:1e4,manifestLoadingMaxRetry:1,manifestLoadingRetryDelay:1e3,manifestLoadingMaxRetryTimeout:64e3,levelLoadingTimeOut:1e4,levelLoadingMaxRetry:4,levelLoadingRetryDelay:1e3,levelLoadingMaxRetryTimeout:64e3,fragLoadingTimeOut:2e4,fragLoadingMaxRetry:6,fragLoadingRetryDelay:1e3,fragLoadingMaxRetryTimeout:64e3},pf()),{},{subtitleStreamController:I,subtitleTrackController:Kc,timelineController:Ku,audioStreamController:Zl,audioTrackController:Sc,emeController:Lu,cmcdController:Qo,contentSteeringController:$o,interstitialsController:yc});function pf(){return{cueHandler:wf,enableWebVTT:!0,enableIMSC1:!0,enableCEA708Captions:!0,captionsTextTrack1Label:"English",captionsTextTrack1LanguageCode:"en",captionsTextTrack2Label:"Spanish",captionsTextTrack2LanguageCode:"es",captionsTextTrack3Label:"Unknown CC",captionsTextTrack3LanguageCode:"",captionsTextTrack4Label:"Unknown CC",captionsTextTrack4LanguageCode:"",renderTextTracksNatively:!0}}function fl(P,t,n){if((t.liveSyncDurationCount||t.liveMaxLatencyDurationCount)&&(t.liveSyncDuration||t.liveMaxLatencyDuration))throw new Error("Illegal hls.js config: don't mix up liveSyncDurationCount/liveMaxLatencyDurationCount and liveSyncDuration/liveMaxLatencyDuration");if(t.liveMaxLatencyDurationCount!==void 0&&(t.liveSyncDurationCount===void 0||t.liveMaxLatencyDurationCount<=t.liveSyncDurationCount))throw new Error('Illegal hls.js config: "liveMaxLatencyDurationCount" must be greater than "liveSyncDurationCount"');if(t.liveMaxLatencyDuration!==void 0&&(t.liveSyncDuration===void 0||t.liveMaxLatencyDuration<=t.liveSyncDuration))throw new Error('Illegal hls.js config: "liveMaxLatencyDuration" must be greater than "liveSyncDuration"');const o=Bl(P),m=["manifest","level","frag"],E=["TimeOut","MaxRetry","RetryDelay","MaxRetryTimeout"];return m.forEach(C=>{const U=`${C==="level"?"playlist":C}LoadPolicy`,H=t[U]===void 0,$=[];E.forEach(ae=>{const ce=`${C}Loading${ae}`,xe=t[ce];if(xe!==void 0&&H){$.push(ce);const Te=o[U].default;switch(t[U]={default:Te},ae){case"TimeOut":Te.maxLoadTimeMs=xe,Te.maxTimeToFirstByteMs=xe;break;case"MaxRetry":Te.errorRetry.maxNumRetry=xe,Te.timeoutRetry.maxNumRetry=xe;break;case"RetryDelay":Te.errorRetry.retryDelayMs=xe,Te.timeoutRetry.retryDelayMs=xe;break;case"MaxRetryTimeout":Te.errorRetry.maxRetryDelayMs=xe,Te.timeoutRetry.maxRetryDelayMs=xe;break}}}),$.length&&n.warn(`hls.js config: "${$.join('", "')}" setting(s) are deprecated, use "${U}": ${jn(t[U])}`)}),b(b({},o),t)}function Bl(P){return P&&typeof P=="object"?Array.isArray(P)?P.map(Bl):Object.keys(P).reduce((t,n)=>(t[n]=Bl(P[n]),t),{}):P}function Wo(P,t){const n=P.loader;n!==xc&&n!==ef?(t.log("[config]: Custom loader detected, cannot enable progressive streaming"),P.progressive=!1):Fl()&&(P.loader=xc,P.progressive=!0,P.enableSoftwareAES=!0,t.log("[config]: Progressive streaming enabled, using FetchLoader"))}const Ec=2,_f=.1,Mc=.05,Fc=100;class mf extends Is{constructor(t,n){super("gap-controller",t.logger),this.hls=null,this.fragmentTracker=null,this.media=null,this.mediaSource=void 0,this.nudgeRetry=0,this.stallReported=!1,this.stalled=null,this.moved=!1,this.seeking=!1,this.buffered={},this.lastCurrentTime=0,this.ended=0,this.waiting=0,this.onMediaPlaying=()=>{this.ended=0,this.waiting=0},this.onMediaWaiting=()=>{var o;(o=this.media)!=null&&o.seeking||(this.waiting=self.performance.now(),this.tick())},this.onMediaEnded=()=>{if(this.hls){var o;this.ended=((o=this.media)==null?void 0:o.currentTime)||1,this.hls.trigger(s.MEDIA_ENDED,{stalled:!1})}},this.hls=t,this.fragmentTracker=n,this.registerListeners()}registerListeners(){const{hls:t}=this;t&&(t.on(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.on(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.on(s.BUFFER_APPENDED,this.onBufferAppended,this))}unregisterListeners(){const{hls:t}=this;t&&(t.off(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.off(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.off(s.BUFFER_APPENDED,this.onBufferAppended,this))}destroy(){super.destroy(),this.unregisterListeners(),this.media=this.hls=this.fragmentTracker=null,this.mediaSource=void 0}onMediaAttached(t,n){this.setInterval(Fc),this.mediaSource=n.mediaSource;const o=this.media=n.media;iu(o,"playing",this.onMediaPlaying),iu(o,"waiting",this.onMediaWaiting),iu(o,"ended",this.onMediaEnded)}onMediaDetaching(t,n){this.clearInterval();const{media:o}=this;o&&(qo(o,"playing",this.onMediaPlaying),qo(o,"waiting",this.onMediaWaiting),qo(o,"ended",this.onMediaEnded),this.media=null),this.mediaSource=void 0}onBufferAppended(t,n){this.buffered=n.timeRanges}get hasBuffered(){return Object.keys(this.buffered).length>0}tick(){var t;if(!((t=this.media)!=null&&t.readyState)||!this.hasBuffered)return;const n=this.media.currentTime;this.poll(n,this.lastCurrentTime),this.lastCurrentTime=n}poll(t,n){var o,m;const E=(o=this.hls)==null?void 0:o.config;if(!E)return;const{media:C,stalled:U}=this;if(!C)return;const{seeking:H}=C,$=this.seeking&&!H,ae=!this.seeking&&H,ce=C.paused&&!H||C.ended||C.playbackRate===0;if(this.seeking=H,t!==n){n&&(this.ended=0),this.moved=!0,H||(this.nudgeRetry=0,E.nudgeOnVideoHole&&!ce&&t>n&&this.nudgeOnVideoHole(t,n)),this.waiting===0&&this.stallResolved(t);return}if(ae||$){$&&this.stallResolved(t);return}if(ce){this.nudgeRetry=0,this.stallResolved(t),!this.ended&&C.ended&&this.hls&&(this.ended=t||1,this.hls.trigger(s.MEDIA_ENDED,{stalled:!1}));return}if(!yi.getBuffered(C).length){this.nudgeRetry=0;return}const xe=yi.bufferInfo(C,t,0),Te=xe.nextStart||0,De=this.fragmentTracker;if(H&&De&&this.hls){const fn=Bc(this.hls.inFlightFragments,t),Vr=xe.len>Ec,on=!Te||fn||Te-t>Ec&&!De.getPartialFragment(t);if(Vr||on)return;this.moved=!1}const tt=(m=this.hls)==null?void 0:m.latestLevelDetails;if(!this.moved&&this.stalled!==null&&De){if(!(xe.len>0)&&!Te)return;const Vr=Math.max(Te,xe.start||0)-t,_n=!!(tt!=null&&tt.live)?tt.targetduration*2:Ec,Xr=De.getPartialFragment(t);if(Vr>0&&(Vr<=_n||Xr)){C.paused||this._trySkipBufferHole(Xr);return}}const at=E.detectStallWithCurrentTimeMs,Bt=self.performance.now(),dr=this.waiting;if(U===null){dr>0&&Bt-dr=at||dr)&&this.hls){var Zr;if(((Zr=this.mediaSource)==null?void 0:Zr.readyState)==="ended"&&!(tt!=null&&tt.live)&&Math.abs(t-((tt==null?void 0:tt.edge)||0))<1){if(this.ended)return;this.ended=t||1,this.hls.trigger(s.MEDIA_ENDED,{stalled:!0});return}if(this._reportStall(xe),!this.media||!this.hls)return}const Gr=yi.bufferInfo(C,t,E.maxBufferHole);this._tryFixBufferStall(Gr,ar)}stallResolved(t){const n=this.stalled;if(n&&this.hls&&(this.stalled=null,this.stallReported)){const o=self.performance.now()-n;this.log(`playback not stuck anymore @${t}, after ${Math.round(o)}ms`),this.stallReported=!1,this.waiting=0,this.hls.trigger(s.STALL_RESOLVED,{})}}nudgeOnVideoHole(t,n){var o;const m=this.buffered.video;if(this.hls&&this.media&&this.fragmentTracker&&(o=this.buffered.audio)!=null&&o.length&&m&&m.length>1&&t>m.end(0)){const E=yi.bufferedInfo(yi.timeRangesToArray(this.buffered.audio),t,0);if(E.len>1&&n>=E.start){const C=yi.timeRangesToArray(m),U=yi.bufferedInfo(C,n,0).bufferedIndex;if(U>-1&&UU)&&ae-$<1&&t-$<2){const ce=new Error(`nudging playhead to flush pipeline after video hole. currentTime: ${t} hole: ${$} -> ${ae} buffered index: ${H}`);this.warn(ce.message),this.media.currentTime+=1e-6;const xe=this.fragmentTracker.getPartialFragment(t)||void 0,Te=yi.bufferInfo(this.media,t,0);this.hls.trigger(s.ERROR,{type:c.MEDIA_ERROR,details:f.BUFFER_SEEK_OVER_HOLE,fatal:!1,error:ce,reason:ce.message,frag:xe,buffer:Te.len,bufferInfo:Te})}}}}}_tryFixBufferStall(t,n){var o,m;const{fragmentTracker:E,media:C}=this,U=(o=this.hls)==null?void 0:o.config;if(!C||!E||!U)return;const H=C.currentTime,$=(m=this.hls)==null?void 0:m.latestLevelDetails,ae=E.getPartialFragment(H);if((ae||$!=null&&$.live&&H<$.fragmentStart)&&(this._trySkipBufferHole(ae)||!this.media))return;const ce=t.buffered;(ce&&ce.length>1&&t.len>U.maxBufferHole||t.nextStart&&t.nextStart-HU.highBufferWatchdogPeriod*1e3||this.waiting)&&(this.warn("Trying to nudge playhead over buffer-hole"),this._tryNudgeBuffer(t))}_reportStall(t){const{hls:n,media:o,stallReported:m,stalled:E}=this;if(!m&&E!==null&&o&&n){this.stallReported=!0;const C=new Error(`Playback stalling at @${o.currentTime} due to low buffer (${jn(t)})`);this.warn(C.message),n.trigger(s.ERROR,{type:c.MEDIA_ERROR,details:f.BUFFER_STALLED_ERROR,fatal:!1,error:C,buffer:t.len,bufferInfo:t,stalled:{start:E}})}}_trySkipBufferHole(t){var n;const{fragmentTracker:o,media:m}=this,E=(n=this.hls)==null?void 0:n.config;if(!m||!o||!E)return 0;const C=m.currentTime,U=yi.bufferInfo(m,C,0),H=C0&&U.len<1&&m.readyState<3,xe=H-C;if(xe>0&&(ae||ce)){if(xe>E.maxBufferHole){let De=!1;if(C===0){const tt=o.getAppendedFrag(0,u.MAIN);tt&&H{const P=Nc();try{P&&new P(0,Number.POSITIVE_INFINITY,"")}catch(t){return Number.MAX_VALUE}return Number.POSITIVE_INFINITY})();function vf(P){return Uint8Array.from(P.replace(/^0x/,"").replace(/([\da-fA-F]{2}) ?/g,"0x$1 ").replace(/ +$/,"").split(" ")).buffer}class Hf{constructor(t){this.hls=void 0,this.id3Track=null,this.media=null,this.dateRangeCuesAppended={},this.removeCues=!0,this.onEventCueEnter=()=>{this.hls&&this.hls.trigger(s.EVENT_CUE_ENTER,{})},this.hls=t,this._registerListeners()}destroy(){this._unregisterListeners(),this.id3Track=null,this.media=null,this.dateRangeCuesAppended={},this.hls=this.onEventCueEnter=null}_registerListeners(){const{hls:t}=this;t.on(s.MEDIA_ATTACHING,this.onMediaAttaching,this),t.on(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.on(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.on(s.MANIFEST_LOADING,this.onManifestLoading,this),t.on(s.FRAG_PARSING_METADATA,this.onFragParsingMetadata,this),t.on(s.BUFFER_FLUSHING,this.onBufferFlushing,this),t.on(s.LEVEL_UPDATED,this.onLevelUpdated,this),t.on(s.LEVEL_PTS_UPDATED,this.onLevelPtsUpdated,this)}_unregisterListeners(){const{hls:t}=this;t.off(s.MEDIA_ATTACHING,this.onMediaAttaching,this),t.off(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.off(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.off(s.MANIFEST_LOADING,this.onManifestLoading,this),t.off(s.FRAG_PARSING_METADATA,this.onFragParsingMetadata,this),t.off(s.BUFFER_FLUSHING,this.onBufferFlushing,this),t.off(s.LEVEL_UPDATED,this.onLevelUpdated,this),t.off(s.LEVEL_PTS_UPDATED,this.onLevelPtsUpdated,this)}onMediaAttaching(t,n){var o;this.media=n.media,((o=n.overrides)==null?void 0:o.cueRemoval)===!1&&(this.removeCues=!1)}onMediaAttached(){const t=this.hls.latestLevelDetails;t&&this.updateDateRangeCues(t)}onMediaDetaching(t,n){this.media=null,!n.transferMedia&&(this.id3Track&&(this.removeCues&&Mu(this.id3Track,this.onEventCueEnter),this.id3Track=null),this.dateRangeCuesAppended={})}onManifestLoading(){this.dateRangeCuesAppended={}}createTrack(t){const n=this.getID3Track(t.textTracks);return n.mode="hidden",n}getID3Track(t){if(this.media){for(let n=0;nrf&&(ce=rf),ce-ae<=0&&(ce=ae+Mf);for(let Te=0;Te<$.length;Te++){const De=$[Te];if(!As(De)){this.updateId3CueEnds(ae,H);const tt=Ff(C,ae,ce,De,H);tt&&this.id3Track.addCue(tt)}}}}}updateId3CueEnds(t,n){var o;const m=(o=this.id3Track)==null?void 0:o.cues;if(m)for(let E=m.length;E--;){const C=m[E];C.type===n&&C.startTimeae.type===we.audioId3&&H:m==="video"?$=ae=>ae.type===we.emsg&&U:$=ae=>ae.type===we.audioId3&&H||ae.type===we.emsg&&U,Zo(E,n,o,$)}}onLevelUpdated(t,{details:n}){this.updateDateRangeCues(n,!0)}onLevelPtsUpdated(t,n){Math.abs(n.drift)>.01&&this.updateDateRangeCues(n.details)}updateDateRangeCues(t,n){if(!this.media||!t.hasProgramDateTime||!this.hls.config.enableDateRangeMetadataCues)return;const{id3Track:o}=this,{dateRanges:m}=t,E=Object.keys(m);let C=this.dateRangeCuesAppended;if(o&&n){var U;if((U=o.cues)!=null&&U.length){const ae=Object.keys(C).filter(ce=>!E.includes(ce));for(let ce=ae.length;ce--;){const xe=ae[ce],Te=C[xe].cues;delete C[xe],Object.keys(Te).forEach(De=>{try{const tt=Te[De];tt.removeEventListener("enter",this.onEventCueEnter),o.removeCue(tt)}catch(tt){}})}}else C=this.dateRangeCuesAppended={}}const H=t.fragments[t.fragments.length-1];if(E.length===0||!r(H==null?void 0:H.programDateTime))return;this.id3Track||(this.id3Track=this.createTrack(this.media));const $=Nc();for(let ae=0;ae{if(Vr!==xe.id){const on=m[Vr];if(on.class===xe.class&&on.startDate>xe.startDate&&(!fn||xe.startDate.01&&(Vr.startTime=Te,Vr.endTime=Bt);else if($){let on=xe.attr[fn];ja(fn)&&(on=vf(on));const Xr=Ff($,Te,Bt,{key:fn,data:on},we.dateRange);Xr&&(Xr.id=ce,this.id3Track.addCue(Xr),tt[fn]=Xr,this.hls.config.interstitialsController&&(fn==="X-ASSET-LIST"||fn==="X-ASSET-URL")&&Xr.addEventListener("enter",this.onEventCueEnter))}}C[ce]={cues:tt,dateRange:xe,durationKnown:at}}}}class Cf{constructor(t){this.hls=void 0,this.config=void 0,this.media=null,this.currentTime=0,this.stallCount=0,this._latency=null,this._targetLatencyUpdated=!1,this.onTimeupdate=()=>{const{media:n}=this,o=this.levelDetails;if(!n||!o)return;this.currentTime=n.currentTime;const m=this.computeLatency();if(m===null)return;this._latency=m;const{lowLatencyMode:E,maxLiveSyncPlaybackRate:C}=this.config;if(!E||C===1||!o.live)return;const U=this.targetLatency;if(U===null)return;const H=m-U,$=Math.min(this.maxLatency,U+o.targetduration);if(H<$&&H>.05&&this.forwardBufferLength>1){const ce=Math.min(2,Math.max(1,C)),xe=Math.round(2/(1+Math.exp(-.75*H-this.edgeStalled))*20)/20,Te=Math.min(ce,Math.max(1,xe));this.changeMediaPlaybackRate(n,Te)}else n.playbackRate!==1&&n.playbackRate!==0&&this.changeMediaPlaybackRate(n,1)},this.hls=t,this.config=t.config,this.registerListeners()}get levelDetails(){var t;return((t=this.hls)==null?void 0:t.latestLevelDetails)||null}get latency(){return this._latency||0}get maxLatency(){const{config:t}=this;if(t.liveMaxLatencyDuration!==void 0)return t.liveMaxLatencyDuration;const n=this.levelDetails;return n?t.liveMaxLatencyDurationCount*n.targetduration:0}get targetLatency(){const t=this.levelDetails;if(t===null||this.hls===null)return null;const{holdBack:n,partHoldBack:o,targetduration:m}=t,{liveSyncDuration:E,liveSyncDurationCount:C,lowLatencyMode:U}=this.config,H=this.hls.userConfig;let $=U&&o||n;(this._targetLatencyUpdated||H.liveSyncDuration||H.liveSyncDurationCount||$===0)&&($=E!==void 0?E:C*m);const ae=m;return $+Math.min(this.stallCount*this.config.liveSyncOnStallIncrease,ae)}set targetLatency(t){this.stallCount=0,this.config.liveSyncDuration=t,this._targetLatencyUpdated=!0}get liveSyncPosition(){const t=this.estimateLiveEdge(),n=this.targetLatency;if(t===null||n===null)return null;const o=this.levelDetails;if(o===null)return null;const m=o.edge,E=t-n-this.edgeStalled,C=m-o.totalduration,U=m-(this.config.lowLatencyMode&&o.partTarget||o.targetduration);return Math.min(Math.max(C,E),U)}get drift(){const t=this.levelDetails;return t===null?1:t.drift}get edgeStalled(){const t=this.levelDetails;if(t===null)return 0;const n=(this.config.lowLatencyMode&&t.partTarget||t.targetduration)*3;return Math.max(t.age-n,0)}get forwardBufferLength(){const{media:t}=this,n=this.levelDetails;if(!t||!n)return 0;const o=t.buffered.length;return(o?t.buffered.end(o-1):n.edge)-this.currentTime}destroy(){this.unregisterListeners(),this.onMediaDetaching(),this.hls=null}registerListeners(){const{hls:t}=this;t&&(t.on(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.on(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.on(s.MANIFEST_LOADING,this.onManifestLoading,this),t.on(s.LEVEL_UPDATED,this.onLevelUpdated,this),t.on(s.ERROR,this.onError,this))}unregisterListeners(){const{hls:t}=this;t&&(t.off(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.off(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.off(s.MANIFEST_LOADING,this.onManifestLoading,this),t.off(s.LEVEL_UPDATED,this.onLevelUpdated,this),t.off(s.ERROR,this.onError,this))}onMediaAttached(t,n){this.media=n.media,this.media.addEventListener("timeupdate",this.onTimeupdate)}onMediaDetaching(){this.media&&(this.media.removeEventListener("timeupdate",this.onTimeupdate),this.media=null)}onManifestLoading(){this._latency=null,this.stallCount=0}onLevelUpdated(t,{details:n}){n.advanced&&this.onTimeupdate(),!n.live&&this.media&&this.media.removeEventListener("timeupdate",this.onTimeupdate)}onError(t,n){var o;n.details===f.BUFFER_STALLED_ERROR&&(this.stallCount++,this.hls&&(o=this.levelDetails)!=null&&o.live&&this.hls.logger.warn("[latency-controller]: Stall detected, adjusting target latency"))}changeMediaPlaybackRate(t,n){var o,m;t.playbackRate!==n&&((o=this.hls)==null||o.logger.debug(`[latency-controller]: latency=${this.latency.toFixed(3)}, targetLatency=${(m=this.targetLatency)==null?void 0:m.toFixed(3)}, forwardBufferLength=${this.forwardBufferLength.toFixed(3)}: adjusting playback rate from ${t.playbackRate} to ${n}`),t.playbackRate=n)}estimateLiveEdge(){const t=this.levelDetails;return t===null?null:t.edge+t.age}computeLatency(){const t=this.estimateLiveEdge();return t===null?null:t-this.currentTime}}class Bf extends lu{constructor(t,n){super(t,"level-controller"),this._levels=[],this._firstLevel=-1,this._maxAutoLevel=-1,this._startLevel=void 0,this.currentLevel=null,this.currentLevelIndex=-1,this.manualLevelIndex=-1,this.steering=void 0,this.onParsedComplete=void 0,this.steering=n,this._registerListeners()}_registerListeners(){const{hls:t}=this;t.on(s.MANIFEST_LOADING,this.onManifestLoading,this),t.on(s.MANIFEST_LOADED,this.onManifestLoaded,this),t.on(s.LEVEL_LOADED,this.onLevelLoaded,this),t.on(s.LEVELS_UPDATED,this.onLevelsUpdated,this),t.on(s.FRAG_BUFFERED,this.onFragBuffered,this),t.on(s.ERROR,this.onError,this)}_unregisterListeners(){const{hls:t}=this;t.off(s.MANIFEST_LOADING,this.onManifestLoading,this),t.off(s.MANIFEST_LOADED,this.onManifestLoaded,this),t.off(s.LEVEL_LOADED,this.onLevelLoaded,this),t.off(s.LEVELS_UPDATED,this.onLevelsUpdated,this),t.off(s.FRAG_BUFFERED,this.onFragBuffered,this),t.off(s.ERROR,this.onError,this)}destroy(){this._unregisterListeners(),this.steering=null,this.resetLevels(),super.destroy()}stopLoad(){this._levels.forEach(n=>{n.loadError=0,n.fragmentError=0}),super.stopLoad()}resetLevels(){this._startLevel=void 0,this.manualLevelIndex=-1,this.currentLevelIndex=-1,this.currentLevel=null,this._levels=[],this._maxAutoLevel=-1}onManifestLoading(t,n){this.resetLevels()}onManifestLoaded(t,n){const o=this.hls.config.preferManagedMediaSource,m=[],E={},C={};let U=!1,H=!1,$=!1;n.levels.forEach(ae=>{var ce;const xe=ae.attrs;let{audioCodec:Te,videoCodec:De}=ae;Te&&(ae.audioCodec=Te=At(Te,o)||void 0),((ce=De)==null?void 0:ce.indexOf("avc1"))===0&&(De=ae.videoCodec=Ar(De));const{width:tt,height:at,unknownCodecs:Bt}=ae;let dr=Bt?Bt.length:0;if(Bt)for(let Yn=dr;Yn--;){const di=Bt[Yn];this.isAudioSupported(di)?(ae.audioCodec=Te=Te?`${Te},${di}`:di,dr--,zt.audio[Te.substring(0,4)]=2):this.isVideoSupported(di)&&(ae.videoCodec=De=De?`${De},${di}`:di,dr--,zt.video[De.substring(0,4)]=2)}if(U||(U=!!(tt&&at)),H||(H=!!De),$||($=!!Te),dr||Te&&!this.isAudioSupported(Te)||De&&!this.isVideoSupported(De)){this.log(`Some or all CODECS not supported "${xe.CODECS}"`);return}const{CODECS:ar,"FRAME-RATE":Zr,"HDCP-LEVEL":Gr,"PATHWAY-ID":fn,RESOLUTION:Vr,"VIDEO-RANGE":on}=xe,Xr=`${`${fn||"."}-`}${ae.bitrate}-${Vr}-${Zr}-${ar}-${on}-${Gr}`;if(E[Xr])if(E[Xr].uri!==ae.url&&!ae.attrs["PATHWAY-ID"]){const Yn=C[Xr]+=1;ae.attrs["PATHWAY-ID"]=new Array(Yn+1).join(".");const di=this.createLevel(ae);E[Xr]=di,m.push(di)}else E[Xr].addGroupId("audio",xe.AUDIO),E[Xr].addGroupId("text",xe.SUBTITLES);else{const Yn=this.createLevel(ae);E[Xr]=Yn,C[Xr]=1,m.push(Yn)}}),this.filterAndSortMediaOptions(m,n,U,H,$)}createLevel(t){const n=new mr(t),o=t.supplemental;if(o!=null&&o.videoCodec&&!this.isVideoSupported(o.videoCodec)){const m=new Error(`SUPPLEMENTAL-CODECS not supported "${o.videoCodec}"`);this.log(m.message),n.supportedResult=cn(m,[])}return n}isAudioSupported(t){return Oe(t,"audio",this.hls.config.preferManagedMediaSource)}isVideoSupported(t){return Oe(t,"video",this.hls.config.preferManagedMediaSource)}filterAndSortMediaOptions(t,n,o,m,E){let C=[],U=[],H=t;if((o||m)&&E&&(H=H.filter(({videoCodec:at,videoRange:Bt,width:dr,height:ar})=>(!!at||!!(dr&&ar))&&ot(Bt))),H.length===0){Promise.resolve().then(()=>{if(this.hls){let at="no level with compatible codecs found in manifest",Bt=at;n.levels.length&&(Bt=`one or more CODECS in variant not supported: ${jn(n.levels.map(ar=>ar.attrs.CODECS).filter((ar,Zr,Gr)=>Gr.indexOf(ar)===Zr))}`,this.warn(Bt),at+=` (${Bt})`);const dr=new Error(at);this.hls.trigger(s.ERROR,{type:c.MEDIA_ERROR,details:f.MANIFEST_INCOMPATIBLE_CODECS_ERROR,fatal:!0,url:n.url,error:dr,reason:Bt})}});return}n.audioTracks&&(C=n.audioTracks.filter(at=>!at.audioCodec||this.isAudioSupported(at.audioCodec)),Nf(C)),n.subtitles&&(U=n.subtitles,Nf(U));const $=H.slice(0);H.sort((at,Bt)=>{if(at.attrs["HDCP-LEVEL"]!==Bt.attrs["HDCP-LEVEL"])return(at.attrs["HDCP-LEVEL"]||"")>(Bt.attrs["HDCP-LEVEL"]||"")?1:-1;if(o&&at.height!==Bt.height)return at.height-Bt.height;if(at.frameRate!==Bt.frameRate)return at.frameRate-Bt.frameRate;if(at.videoRange!==Bt.videoRange)return gr.indexOf(at.videoRange)-gr.indexOf(Bt.videoRange);if(at.videoCodec!==Bt.videoCodec){const dr=Ke(at.videoCodec),ar=Ke(Bt.videoCodec);if(dr!==ar)return ar-dr}if(at.uri===Bt.uri&&at.codecSet!==Bt.codecSet){const dr=vt(at.codecSet),ar=vt(Bt.codecSet);if(dr!==ar)return ar-dr}return at.averageBitrate!==Bt.averageBitrate?at.averageBitrate-Bt.averageBitrate:0});let ae=$[0];if(this.steering&&(H=this.steering.filterParsedLevels(H),H.length!==$.length)){for(let at=0;at<$.length;at++)if($[at].pathwayId===H[0].pathwayId){ae=$[at];break}}this._levels=H;for(let at=0;atdr&&dr===this.hls.abrEwmaDefaultEstimate&&(this.hls.bandwidthEstimate=ar)}break}const xe=E&&!m,Te=this.hls.config,De=!!(Te.audioStreamController&&Te.audioTrackController),tt={levels:H,audioTracks:C,subtitleTracks:U,sessionData:n.sessionData,sessionKeys:n.sessionKeys,firstLevel:this._firstLevel,stats:n.stats,audio:E,video:m,altAudio:De&&!xe&&C.some(at=>!!at.url)};this.hls.trigger(s.MANIFEST_PARSED,tt)}get levels(){return this._levels.length===0?null:this._levels}get loadLevelObj(){return this.currentLevel}get level(){return this.currentLevelIndex}set level(t){const n=this._levels;if(n.length===0)return;if(t<0||t>=n.length){const ae=new Error("invalid level idx"),ce=t<0;if(this.hls.trigger(s.ERROR,{type:c.OTHER_ERROR,details:f.LEVEL_SWITCH_ERROR,level:t,fatal:ce,error:ae,reason:ae.message}),ce)return;t=Math.min(t,n.length-1)}const o=this.currentLevelIndex,m=this.currentLevel,E=m?m.attrs["PATHWAY-ID"]:void 0,C=n[t],U=C.attrs["PATHWAY-ID"];if(this.currentLevelIndex=t,this.currentLevel=C,o===t&&m&&E===U)return;this.log(`Switching to level ${t} (${C.height?C.height+"p ":""}${C.videoRange?C.videoRange+" ":""}${C.codecSet?C.codecSet+" ":""}@${C.bitrate})${U?" with Pathway "+U:""} from level ${o}${E?" with Pathway "+E:""}`);const H={level:t,attrs:C.attrs,details:C.details,bitrate:C.bitrate,averageBitrate:C.averageBitrate,maxBitrate:C.maxBitrate,realBitrate:C.realBitrate,width:C.width,height:C.height,codecSet:C.codecSet,audioCodec:C.audioCodec,videoCodec:C.videoCodec,audioGroups:C.audioGroups,subtitleGroups:C.subtitleGroups,loaded:C.loaded,loadError:C.loadError,fragmentError:C.fragmentError,name:C.name,id:C.id,uri:C.uri,url:C.url,urlId:0,audioGroupIds:C.audioGroupIds,textGroupIds:C.textGroupIds};this.hls.trigger(s.LEVEL_SWITCHING,H);const $=C.details;if(!$||$.live){const ae=this.switchParams(C.uri,m==null?void 0:m.details,$);this.loadPlaylist(ae)}}get manualLevel(){return this.manualLevelIndex}set manualLevel(t){this.manualLevelIndex=t,this._startLevel===void 0&&(this._startLevel=t),t!==-1&&(this.level=t)}get firstLevel(){return this._firstLevel}set firstLevel(t){this._firstLevel=t}get startLevel(){if(this._startLevel===void 0){const t=this.hls.config.startLevel;return t!==void 0?t:this.hls.firstAutoLevel}return this._startLevel}set startLevel(t){this._startLevel=t}get pathways(){return this.steering?this.steering.pathways():[]}get pathwayPriority(){return this.steering?this.steering.pathwayPriority:null}set pathwayPriority(t){if(this.steering){const n=this.steering.pathways(),o=t.filter(m=>n.indexOf(m)!==-1);if(t.length<1){this.warn(`pathwayPriority ${t} should contain at least one pathway from list: ${n}`);return}this.steering.pathwayPriority=o}}onError(t,n){n.fatal||!n.context||n.context.type===h.LEVEL&&n.context.level===this.level&&this.checkRetry(n)}onFragBuffered(t,{frag:n}){if(n!==void 0&&n.type===u.MAIN){const o=n.elementaryStreams;if(!Object.keys(o).some(E=>!!o[E]))return;const m=this._levels[n.level];m!=null&&m.loadError&&(this.log(`Resetting level error count of ${m.loadError} on frag buffered`),m.loadError=0)}}onLevelLoaded(t,n){var o;const{level:m,details:E}=n,C=n.levelInfo;if(!C){var U;this.warn(`Invalid level index ${m}`),(U=n.deliveryDirectives)!=null&&U.skip&&(E.deltaUpdateFailed=!0);return}if(C===this.currentLevel||n.withoutMultiVariant){C.fragmentError===0&&(C.loadError=0);let H=C.details;H===n.details&&H.advanced&&(H=void 0),this.playlistLoaded(m,n,H)}else(o=n.deliveryDirectives)!=null&&o.skip&&(E.deltaUpdateFailed=!0)}loadPlaylist(t){super.loadPlaylist(),this.shouldLoadPlaylist(this.currentLevel)&&this.scheduleLoading(this.currentLevel,t)}loadingPlaylist(t,n){super.loadingPlaylist(t,n);const o=this.getUrlWithDirectives(t.uri,n),m=this.currentLevelIndex,E=t.attrs["PATHWAY-ID"],C=t.details,U=C==null?void 0:C.age;this.log(`Loading level index ${m}${(n==null?void 0:n.msn)!==void 0?" at sn "+n.msn+" part "+n.part:""}${E?" Pathway "+E:""}${U&&C.live?" age "+U.toFixed(1)+(C.type?" "+C.type||0:""):""} ${o}`),this.hls.trigger(s.LEVEL_LOADING,{url:o,level:m,levelInfo:t,pathwayId:t.attrs["PATHWAY-ID"],id:0,deliveryDirectives:n||null})}get nextLoadLevel(){return this.manualLevelIndex!==-1?this.manualLevelIndex:this.hls.nextAutoLevel}set nextLoadLevel(t){this.level=t,this.manualLevelIndex===-1&&(this.hls.nextAutoLevel=t)}removeLevel(t){var n;if(this._levels.length===1)return;const o=this._levels.filter((E,C)=>C!==t?!0:(this.steering&&this.steering.removeLevel(E),E===this.currentLevel&&(this.currentLevel=null,this.currentLevelIndex=-1,E.details&&E.details.fragments.forEach(U=>U.level=-1)),!1));Hn(o),this._levels=o,this.currentLevelIndex>-1&&(n=this.currentLevel)!=null&&n.details&&(this.currentLevelIndex=this.currentLevel.details.fragments[0].level),this.manualLevelIndex>-1&&(this.manualLevelIndex=this.currentLevelIndex);const m=o.length-1;this._firstLevel=Math.min(this._firstLevel,m),this._startLevel&&(this._startLevel=Math.min(this._startLevel,m)),this.hls.trigger(s.LEVELS_UPDATED,{levels:o})}onLevelsUpdated(t,{levels:n}){this._levels=n}checkMaxAutoUpdated(){const{autoLevelCapping:t,maxAutoLevel:n,maxHdcpLevel:o}=this.hls;this._maxAutoLevel!==n&&(this._maxAutoLevel=n,this.hls.trigger(s.MAX_AUTO_LEVEL_UPDATED,{autoLevelCapping:t,levels:this.levels,maxAutoLevel:n,minAutoLevel:this.hls.minAutoLevel,maxHdcpLevel:o}))}}function Nf(P){const t={};P.forEach(n=>{const o=n.groupId||"";n.id=t[o]=t[o]||0,t[o]++})}function nf(){return self.SourceBuffer||self.WebKitSourceBuffer}function $f(){if(!oe())return!1;const t=nf();return!t||t.prototype&&typeof t.prototype.appendBuffer=="function"&&typeof t.prototype.remove=="function"}function Tf(){if(!$f())return!1;const P=oe();return typeof(P==null?void 0:P.isTypeSupported)=="function"&&(["avc1.42E01E,mp4a.40.2","av01.0.01M.08","vp09.00.50.08"].some(t=>P.isTypeSupported(be(t,"video")))||["mp4a.40.2","fLaC"].some(t=>P.isTypeSupported(be(t,"audio"))))}function v(){var P;const t=nf();return typeof(t==null||(P=t.prototype)==null?void 0:P.changeType)=="function"}const A=100;class Z extends na{constructor(t,n,o){super(t,n,o,"stream-controller",u.MAIN),this.audioCodecSwap=!1,this.level=-1,this._forceStartLoad=!1,this._hasEnoughToStart=!1,this.altAudio=0,this.audioOnly=!1,this.fragPlaying=null,this.fragLastKbps=0,this.couldBacktrack=!1,this.backtrackFragment=null,this.audioCodecSwitch=!1,this.videoBuffer=null,this.onMediaPlaying=()=>{this.tick()},this.onMediaSeeked=()=>{const m=this.media,E=m?m.currentTime:null;if(E===null||!r(E)||(this.log(`Media seeked to ${E.toFixed(3)}`),!this.getBufferedFrag(E)))return;const C=this.getFwdBufferInfoAtPos(m,E,u.MAIN,0);if(C===null||C.len===0){this.warn(`Main forward buffer length at ${E} on "seeked" event ${C?C.len:"empty"})`);return}this.tick()},this.registerListeners()}registerListeners(){super.registerListeners();const{hls:t}=this;t.on(s.MANIFEST_PARSED,this.onManifestParsed,this),t.on(s.LEVEL_LOADING,this.onLevelLoading,this),t.on(s.LEVEL_LOADED,this.onLevelLoaded,this),t.on(s.FRAG_LOAD_EMERGENCY_ABORTED,this.onFragLoadEmergencyAborted,this),t.on(s.AUDIO_TRACK_SWITCHING,this.onAudioTrackSwitching,this),t.on(s.AUDIO_TRACK_SWITCHED,this.onAudioTrackSwitched,this),t.on(s.BUFFER_CREATED,this.onBufferCreated,this),t.on(s.BUFFER_FLUSHED,this.onBufferFlushed,this),t.on(s.LEVELS_UPDATED,this.onLevelsUpdated,this),t.on(s.FRAG_BUFFERED,this.onFragBuffered,this)}unregisterListeners(){super.unregisterListeners();const{hls:t}=this;t.off(s.MANIFEST_PARSED,this.onManifestParsed,this),t.off(s.LEVEL_LOADED,this.onLevelLoaded,this),t.off(s.FRAG_LOAD_EMERGENCY_ABORTED,this.onFragLoadEmergencyAborted,this),t.off(s.AUDIO_TRACK_SWITCHING,this.onAudioTrackSwitching,this),t.off(s.AUDIO_TRACK_SWITCHED,this.onAudioTrackSwitched,this),t.off(s.BUFFER_CREATED,this.onBufferCreated,this),t.off(s.BUFFER_FLUSHED,this.onBufferFlushed,this),t.off(s.LEVELS_UPDATED,this.onLevelsUpdated,this),t.off(s.FRAG_BUFFERED,this.onFragBuffered,this)}onHandlerDestroying(){this.onMediaPlaying=this.onMediaSeeked=null,this.unregisterListeners(),super.onHandlerDestroying()}startLoad(t,n){if(this.levels){const{lastCurrentTime:o,hls:m}=this;if(this.stopLoad(),this.setInterval(A),this.level=-1,!this.startFragRequested){let E=m.startLevel;E===-1&&(m.config.testBandwidth&&this.levels.length>1?(E=0,this.bitrateTest=!0):E=m.firstAutoLevel),m.nextLoadLevel=E,this.level=m.loadLevel,this._hasEnoughToStart=!!n}o>0&&t===-1&&!n&&(this.log(`Override startPosition with lastCurrentTime @${o.toFixed(3)}`),t=o),this.state=zr.IDLE,this.nextLoadPosition=this.lastCurrentTime=t+this.timelineOffset,this.startPosition=n?-1:t,this.tick()}else this._forceStartLoad=!0,this.state=zr.STOPPED}stopLoad(){this._forceStartLoad=!1,super.stopLoad()}doTick(){switch(this.state){case zr.WAITING_LEVEL:{const{levels:n,level:o}=this,m=n==null?void 0:n[o],E=m==null?void 0:m.details;if(E&&(!E.live||this.levelLastLoaded===m&&!this.waitForLive(m))){if(this.waitForCdnTuneIn(E))break;this.state=zr.IDLE;break}else if(this.hls.nextLoadLevel!==this.level){this.state=zr.IDLE;break}break}case zr.FRAG_LOADING_WAITING_RETRY:{var t;const n=self.performance.now(),o=this.retryDate;if(!o||n>=o||(t=this.media)!=null&&t.seeking){const{levels:m,level:E}=this,C=m==null?void 0:m[E];this.resetStartWhenNotLoaded(C||null),this.state=zr.IDLE}}break}this.state===zr.IDLE&&this.doTickIdle(),this.onTickEnd()}onTickEnd(){var t;super.onTickEnd(),(t=this.media)!=null&&t.readyState&&this.media.seeking===!1&&(this.lastCurrentTime=this.media.currentTime),this.checkFragmentChanged()}doTickIdle(){const{hls:t,levelLastLoaded:n,levels:o,media:m}=this;if(n===null||!m&&!this.primaryPrefetch&&(this.startFragRequested||!t.config.startFragPrefetch)||this.altAudio&&this.audioOnly)return;const E=this.buffering?t.nextLoadLevel:t.loadLevel;if(!(o!=null&&o[E]))return;const C=o[E],U=this.getMainFwdBufferInfo();if(U===null)return;const H=this.getLevelDetails();if(H&&this._streamEnded(U,H)){const tt={};this.altAudio===2&&(tt.type="video"),this.hls.trigger(s.BUFFER_EOS,tt),this.state=zr.ENDED;return}if(!this.buffering)return;t.loadLevel!==E&&t.manualLevel===-1&&this.log(`Adapting to level ${E} from level ${this.level}`),this.level=t.nextLoadLevel=E;const $=C.details;if(!$||this.state===zr.WAITING_LEVEL||this.waitForLive(C)){this.level=E,this.state=zr.WAITING_LEVEL,this.startFragRequested=!1;return}const ae=U.len,ce=this.getMaxBufferLength(C.maxBitrate);if(ae>=ce)return;this.backtrackFragment&&this.backtrackFragment.start>U.end&&(this.backtrackFragment=null);const xe=this.backtrackFragment?this.backtrackFragment.start:U.end;let Te=this.getNextFragment(xe,$);if(this.couldBacktrack&&!this.fragPrevious&&Te&&_e(Te)&&this.fragmentTracker.getState(Te)!==Er.OK){var De;const at=((De=this.backtrackFragment)!=null?De:Te).sn-$.startSN,Bt=$.fragments[at-1];Bt&&Te.cc===Bt.cc&&(Te=Bt,this.fragmentTracker.removeFragment(Bt))}else this.backtrackFragment&&U.len&&(this.backtrackFragment=null);if(Te&&this.isLoopLoading(Te,xe)){if(!Te.gap){const at=this.audioOnly&&!this.altAudio?F.AUDIO:F.VIDEO,Bt=(at===F.VIDEO?this.videoBuffer:this.mediaBuffer)||this.media;Bt&&this.afterBufferFlushed(Bt,at,u.MAIN)}Te=this.getNextFragmentLoopLoading(Te,$,U,u.MAIN,ce)}Te&&(Te.initSegment&&!Te.initSegment.data&&!this.bitrateTest&&(Te=Te.initSegment),this.loadFragment(Te,C,xe))}loadFragment(t,n,o){const m=this.fragmentTracker.getState(t);m===Er.NOT_LOADED||m===Er.PARTIAL?_e(t)?this.bitrateTest?(this.log(`Fragment ${t.sn} of level ${t.level} is being downloaded to test bitrate and will not be buffered`),this._loadBitrateTestFrag(t,n)):super.loadFragment(t,n,o):this._loadInitSegment(t,n):this.clearTrackerIfNeeded(t)}getBufferedFrag(t){return this.fragmentTracker.getBufferedFrag(t,u.MAIN)}followingBufferedFrag(t){return t?this.getBufferedFrag(t.end+.5):null}immediateLevelSwitch(){this.abortCurrentFrag(),this.flushMainBuffer(0,Number.POSITIVE_INFINITY)}nextLevelSwitch(){const{levels:t,media:n}=this;if(n!=null&&n.readyState){let o;const m=this.getAppendedFrag(n.currentTime);m&&m.start>1&&this.flushMainBuffer(0,m.start-1);const E=this.getLevelDetails();if(E!=null&&E.live){const U=this.getMainFwdBufferInfo();if(!U||U.len{const C=E.audioCodec;C&&(o=o||C.indexOf("mp4a.40.2")!==-1,m=m||C.indexOf("mp4a.40.5")!==-1)}),this.audioCodecSwitch=o&&m&&!v(),this.audioCodecSwitch&&this.log("Both AAC/HE-AAC audio found in levels; declaring level codec as HE-AAC"),this.levels=n.levels,this.startFragRequested=!1}onLevelLoading(t,n){const{levels:o}=this;if(!o||this.state!==zr.IDLE)return;const m=n.levelInfo;(!m.details||m.details.live&&(this.levelLastLoaded!==m||m.details.expired)||this.waitForCdnTuneIn(m.details))&&(this.state=zr.WAITING_LEVEL)}onLevelLoaded(t,n){var o;const{levels:m,startFragRequested:E}=this,C=n.level,U=n.details,H=U.totalduration;if(!m){this.warn(`Levels were reset while loading level ${C}`);return}this.log(`Level ${C} loaded [${U.startSN},${U.endSN}]${U.lastPartSn?`[part-${U.lastPartSn}-${U.lastPartIndex}]`:""}, cc [${U.startCC}, ${U.endCC}] duration:${H}`);const $=n.levelInfo,ae=this.fragCurrent;ae&&(this.state===zr.FRAG_LOADING||this.state===zr.FRAG_LOADING_WAITING_RETRY)&&ae.level!==n.level&&ae.loader&&this.abortCurrentFrag();let ce=0;if(U.live||(o=$.details)!=null&&o.live){var xe;if(this.checkLiveUpdate(U),U.deltaUpdateFailed)return;ce=this.alignPlaylists(U,$.details,(xe=this.levelLastLoaded)==null?void 0:xe.details)}if($.details=U,this.levelLastLoaded=$,E||this.setStartPosition(U,ce),this.hls.trigger(s.LEVEL_UPDATED,{details:U,level:C}),this.state===zr.WAITING_LEVEL){if(this.waitForCdnTuneIn(U))return;this.state=zr.IDLE}E&&U.live&&this.synchronizeToLiveEdge(U),this.tick()}synchronizeToLiveEdge(t){const{config:n,media:o}=this;if(!o)return;const m=this.hls.liveSyncPosition,E=this.getLoadPosition(),C=t.fragmentStart,U=t.edge,H=E>=C-n.maxFragLookUpTolerance&&E<=U;if(m!==null&&o.duration>m&&(E{var C;(C=this.hls)==null||C.trigger(s.AUDIO_TRACK_SWITCHED,n)}),o.trigger(s.BUFFER_FLUSHING,{startOffset:0,endOffset:Number.POSITIVE_INFINITY,type:null});return}o.trigger(s.AUDIO_TRACK_SWITCHED,n)}}onAudioTrackSwitched(t,n){const o=ei(n.url,this.hls);if(o){const m=this.videoBuffer;m&&this.mediaBuffer!==m&&(this.log("Switching on alternate audio, use video.buffered to schedule main fragment loading"),this.mediaBuffer=m)}this.altAudio=o?2:0,this.tick()}onBufferCreated(t,n){const o=n.tracks;let m,E,C=!1;for(const U in o){const H=o[U];if(H.id==="main"){if(E=U,m=H,U==="video"){const $=o[U];$&&(this.videoBuffer=$.buffer)}}else C=!0}C&&m?(this.log(`Alternate track found, use ${E}.buffered to schedule main fragment loading`),this.mediaBuffer=m.buffer):this.mediaBuffer=this.media}onFragBuffered(t,n){const{frag:o,part:m}=n,E=o.type===u.MAIN;if(E){if(this.fragContextChanged(o)){this.warn(`Fragment ${o.sn}${m?" p: "+m.index:""} of level ${o.level} finished buffering, but was aborted. state: ${this.state}`),this.state===zr.PARSED&&(this.state=zr.IDLE);return}const U=m?m.stats:o.stats;this.fragLastKbps=Math.round(8*U.total/(U.buffering.end-U.loading.first)),_e(o)&&(this.fragPrevious=o),this.fragBufferedComplete(o,m)}const C=this.media;C&&(!this._hasEnoughToStart&&yi.getBuffered(C).length&&(this._hasEnoughToStart=!0,this.seekToStartPos()),E&&this.tick())}get hasEnoughToStart(){return this._hasEnoughToStart}onError(t,n){var o;if(n.fatal){this.state=zr.ERROR;return}switch(n.details){case f.FRAG_GAP:case f.FRAG_PARSING_ERROR:case f.FRAG_DECRYPT_ERROR:case f.FRAG_LOAD_ERROR:case f.FRAG_LOAD_TIMEOUT:case f.KEY_LOAD_ERROR:case f.KEY_LOAD_TIMEOUT:this.onFragmentOrKeyLoadError(u.MAIN,n);break;case f.LEVEL_LOAD_ERROR:case f.LEVEL_LOAD_TIMEOUT:case f.LEVEL_PARSING_ERROR:!n.levelRetry&&this.state===zr.WAITING_LEVEL&&((o=n.context)==null?void 0:o.type)===h.LEVEL&&(this.state=zr.IDLE);break;case f.BUFFER_ADD_CODEC_ERROR:case f.BUFFER_APPEND_ERROR:if(n.parent!=="main")return;this.resetLoadingState();break;case f.BUFFER_FULL_ERROR:if(n.parent!=="main")return;this.reduceLengthAndFlushBuffer(n)&&this.flushMainBuffer(0,Number.POSITIVE_INFINITY);break;case f.INTERNAL_EXCEPTION:this.recoverWorkerError(n);break}}onFragLoadEmergencyAborted(){this.state=zr.IDLE,this._hasEnoughToStart||(this.startFragRequested=!1,this.nextLoadPosition=this.lastCurrentTime),this.tickImmediate()}onBufferFlushed(t,{type:n}){if(n!==F.AUDIO||!this.altAudio){const o=(n===F.VIDEO?this.videoBuffer:this.mediaBuffer)||this.media;o&&(this.afterBufferFlushed(o,n,u.MAIN),this.tick())}}onLevelsUpdated(t,n){this.level>-1&&this.fragCurrent&&(this.level=this.fragCurrent.level,this.level===-1&&this.resetWhenMissingContext(this.fragCurrent)),this.levels=n.levels}swapAudioCodec(){this.audioCodecSwap=!this.audioCodecSwap}seekToStartPos(){const{media:t}=this;if(!t)return;const n=t.currentTime;let o=this.startPosition;if(o>=0&&n0&&(H<$||this.loadingParts&&H<2*((E==null?void 0:E.partTarget)||0))&&(this.log(`adjusting start position by ${H} to match buffer start`),o+=H,this.startPosition=o),n{const{hls:m}=this,E=o==null?void 0:o.frag;if(!E||this.fragContextChanged(E))return;n.fragmentError=0,this.state=zr.IDLE,this.startFragRequested=!1,this.bitrateTest=!1;const C=E.stats;C.parsing.start=C.parsing.end=C.buffering.start=C.buffering.end=self.performance.now(),m.trigger(s.FRAG_LOADED,o),E.bitrateTest=!1})}_handleTransmuxComplete(t){var n;const o=this.playlistType,{hls:m}=this,{remuxResult:E,chunkMeta:C}=t,U=this.getCurrentContext(C);if(!U){this.resetWhenMissingContext(C);return}const{frag:H,part:$,level:ae}=U,{video:ce,text:xe,id3:Te,initSegment:De}=E,{details:tt}=ae,at=this.altAudio?void 0:E.audio;if(this.fragContextChanged(H)){this.fragmentTracker.removeFragment(H);return}if(this.state=zr.PARSING,De){if(De!=null&&De.tracks){const ar=H.initSegment||H;this._bufferInitSegment(ae,De.tracks,ar,C),m.trigger(s.FRAG_PARSING_INIT_SEGMENT,{frag:ar,id:o,tracks:De.tracks})}const Bt=De.initPTS,dr=De.timescale;r(Bt)&&(this.initPTS[H.cc]={baseTime:Bt,timescale:dr},m.trigger(s.INIT_PTS_FOUND,{frag:H,id:o,initPTS:Bt,timescale:dr}))}if(ce&&tt){at&&ce.type==="audiovideo"&&this.logMuxedErr(H);const Bt=tt.fragments[H.sn-1-tt.startSN],dr=H.sn===tt.startSN,ar=!Bt||H.cc>Bt.cc;if(E.independent!==!1){const{startPTS:Zr,endPTS:Gr,startDTS:fn,endDTS:Vr}=ce;if($)$.elementaryStreams[ce.type]={startPTS:Zr,endPTS:Gr,startDTS:fn,endDTS:Vr};else if(ce.firstKeyFrame&&ce.independent&&C.id===1&&!ar&&(this.couldBacktrack=!0),ce.dropped&&ce.independent){const on=this.getMainFwdBufferInfo(),_n=(on?on.end:this.getLoadPosition())+this.config.maxBufferHole,Xr=ce.firstKeyFramePTS?ce.firstKeyFramePTS:Zr;if(!dr&&_nEc&&(H.gap=!0);H.setElementaryStreamInfo(ce.type,Zr,Gr,fn,Vr),this.backtrackFragment&&(this.backtrackFragment=H),this.bufferFragmentData(ce,H,$,C,dr||ar)}else if(dr||ar)H.gap=!0;else{this.backtrack(H);return}}if(at){const{startPTS:Bt,endPTS:dr,startDTS:ar,endDTS:Zr}=at;$&&($.elementaryStreams[F.AUDIO]={startPTS:Bt,endPTS:dr,startDTS:ar,endDTS:Zr}),H.setElementaryStreamInfo(F.AUDIO,Bt,dr,ar,Zr),this.bufferFragmentData(at,H,$,C)}if(tt&&Te!=null&&(n=Te.samples)!=null&&n.length){const Bt={id:o,frag:H,details:tt,samples:Te.samples};m.trigger(s.FRAG_PARSING_METADATA,Bt)}if(tt&&xe){const Bt={id:o,frag:H,details:tt,samples:xe.samples};m.trigger(s.FRAG_PARSING_USERDATA,Bt)}}logMuxedErr(t){this.warn(`${_e(t)?"Media":"Init"} segment with muxed audiovideo where only video expected: ${t.url}`)}_bufferInitSegment(t,n,o,m){if(this.state!==zr.PARSING)return;this.audioOnly=!!n.audio&&!n.video,this.altAudio&&!this.audioOnly&&(delete n.audio,n.audiovideo&&this.logMuxedErr(o));const{audio:E,video:C,audiovideo:U}=n;if(E){let $=qr(E.codec,t.audioCodec);$==="mp4a"&&($="mp4a.40.5");const ae=navigator.userAgent.toLowerCase();if(this.audioCodecSwitch){$&&($.indexOf("mp4a.40.5")!==-1?$="mp4a.40.2":$="mp4a.40.5");const ce=E.metadata;ce&&"channelCount"in ce&&(ce.channelCount||1)!==1&&ae.indexOf("firefox")===-1&&($="mp4a.40.5")}$&&$.indexOf("mp4a.40.5")!==-1&&ae.indexOf("android")!==-1&&E.container!=="audio/mpeg"&&($="mp4a.40.2",this.log(`Android: force audio codec to ${$}`)),t.audioCodec&&t.audioCodec!==$&&this.log(`Swapping manifest audio codec "${t.audioCodec}" for "${$}"`),E.levelCodec=$,E.id=u.MAIN,this.log(`Init audio buffer, container:${E.container}, codecs[selected/level/parsed]=[${$||""}/${t.audioCodec||""}/${E.codec}]`),delete n.audiovideo}if(C){C.levelCodec=t.videoCodec,C.id=u.MAIN;const $=C.codec;if(($==null?void 0:$.length)===4)switch($){case"hvc1":case"hev1":C.codec="hvc1.1.6.L120.90";break;case"av01":C.codec="av01.0.04M.08";break;case"avc1":C.codec="avc1.42e01e";break}this.log(`Init video buffer, container:${C.container}, codecs[level/parsed]=[${t.videoCodec||""}/${$}]${C.codec!==$?" parsed-corrected="+C.codec:""}${C.supplemental?" supplemental="+C.supplemental:""}`),delete n.audiovideo}U&&(this.log(`Init audiovideo buffer, container:${U.container}, codecs[level/parsed]=[${t.codecs}/${U.codec}]`),delete n.video,delete n.audio);const H=Object.keys(n);if(H.length){if(this.hls.trigger(s.BUFFER_CODECS,n),!this.hls)return;H.forEach($=>{const ce=n[$].initSegment;ce!=null&&ce.byteLength&&this.hls.trigger(s.BUFFER_APPENDING,{type:$,data:ce,frag:o,part:null,chunkMeta:m,parent:o.type})})}this.tickImmediate()}getMainFwdBufferInfo(){const t=this.mediaBuffer&&this.altAudio===2?this.mediaBuffer:this.media;return this.getFwdBufferInfo(t,u.MAIN)}get maxBufferLength(){const{levels:t,level:n}=this,o=t==null?void 0:t[n];return o?this.getMaxBufferLength(o.maxBitrate):this.config.maxBufferLength}backtrack(t){this.couldBacktrack=!0,this.backtrackFragment=t,this.resetTransmuxer(),this.flushBufferGap(t),this.fragmentTracker.removeFragment(t),this.fragPrevious=null,this.nextLoadPosition=t.start,this.state=zr.IDLE}checkFragmentChanged(){const t=this.media;let n=null;if(t&&t.readyState>1&&t.seeking===!1){const o=t.currentTime;if(yi.isBuffered(t,o)?n=this.getAppendedFrag(o):yi.isBuffered(t,o+.1)&&(n=this.getAppendedFrag(o+.1)),n){this.backtrackFragment=null;const m=this.fragPlaying,E=n.level;(!m||n.sn!==m.sn||m.level!==E)&&(this.fragPlaying=n,this.hls.trigger(s.FRAG_CHANGED,{frag:n}),(!m||m.level!==E)&&this.hls.trigger(s.LEVEL_SWITCHED,{level:E}))}}}get nextLevel(){const t=this.nextBufferedFrag;return t?t.level:-1}get currentFrag(){var t;if(this.fragPlaying)return this.fragPlaying;const n=((t=this.media)==null?void 0:t.currentTime)||this.lastCurrentTime;return r(n)?this.getAppendedFrag(n):null}get currentProgramDateTime(){var t;const n=((t=this.media)==null?void 0:t.currentTime)||this.lastCurrentTime;if(r(n)){const o=this.getLevelDetails(),m=this.currentFrag||(o?En(null,o.fragments,n):null);if(m){const E=m.programDateTime;if(E!==null){const C=E+(n-m.start)*1e3;return new Date(C)}}}return null}get currentLevel(){const t=this.currentFrag;return t?t.level:-1}get nextBufferedFrag(){const t=this.currentFrag;return t?this.followingBufferedFrag(t):null}get forceStartLoad(){return this._forceStartLoad}}class ve{constructor(t){this.config=void 0,this.keyUriToKeyInfo={},this.emeController=null,this.config=t}abort(t){for(const o in this.keyUriToKeyInfo){const m=this.keyUriToKeyInfo[o].loader;if(m){var n;if(t&&t!==((n=m.context)==null?void 0:n.frag.type))return;m.abort()}}}detach(){for(const t in this.keyUriToKeyInfo){const n=this.keyUriToKeyInfo[t];(n.mediaKeySessionContext||n.decryptdata.isCommonEncryption)&&delete this.keyUriToKeyInfo[t]}}destroy(){this.detach();for(const t in this.keyUriToKeyInfo){const n=this.keyUriToKeyInfo[t].loader;n&&n.destroy()}this.keyUriToKeyInfo={}}createKeyLoadError(t,n=f.KEY_LOAD_ERROR,o,m,E){return new Na({type:c.NETWORK_ERROR,details:n,fatal:!1,frag:t,response:E,error:o,networkDetails:m})}loadClear(t,n){if(this.emeController&&this.config.emeEnabled){const{sn:o,cc:m}=t;for(let E=0;E{C.setKeyFormat(U)});break}}}}load(t){return!t.decryptdata&&t.encrypted&&this.emeController&&this.config.emeEnabled?this.emeController.selectKeySystemFormat(t).then(n=>this.loadInternal(t,n)):this.loadInternal(t)}loadInternal(t,n){var o,m;n&&t.setKeyFormat(n);const E=t.decryptdata;if(!E){const $=new Error(n?`Expected frag.decryptdata to be defined after setting format ${n}`:"Missing decryption data on fragment in onKeyLoading");return Promise.reject(this.createKeyLoadError(t,f.KEY_LOAD_ERROR,$))}const C=E.uri;if(!C)return Promise.reject(this.createKeyLoadError(t,f.KEY_LOAD_ERROR,new Error(`Invalid key URI: "${C}"`)));let U=this.keyUriToKeyInfo[C];if((o=U)!=null&&o.decryptdata.key)return E.key=U.decryptdata.key,Promise.resolve({frag:t,keyInfo:U});if((m=U)!=null&&m.keyLoadPromise){var H;switch((H=U.mediaKeySessionContext)==null?void 0:H.keyStatus){case void 0:case"status-pending":case"usable":case"usable-in-future":return U.keyLoadPromise.then($=>(E.key=$.keyInfo.decryptdata.key,{frag:t,keyInfo:U}))}}switch(U=this.keyUriToKeyInfo[C]={decryptdata:E,keyLoadPromise:null,loader:null,mediaKeySessionContext:null},E.method){case"ISO-23001-7":case"SAMPLE-AES":case"SAMPLE-AES-CENC":case"SAMPLE-AES-CTR":return E.keyFormat==="identity"?this.loadKeyHTTP(U,t):this.loadKeyEME(U,t);case"AES-128":case"AES-256":case"AES-256-CTR":return this.loadKeyHTTP(U,t);default:return Promise.reject(this.createKeyLoadError(t,f.KEY_LOAD_ERROR,new Error(`Key supplied with unsupported METHOD: "${E.method}"`)))}}loadKeyEME(t,n){const o={frag:n,keyInfo:t};if(this.emeController&&this.config.emeEnabled){const m=this.emeController.loadKey(o);if(m)return(t.keyLoadPromise=m.then(E=>(t.mediaKeySessionContext=E,o))).catch(E=>{throw t.keyLoadPromise=null,E})}return Promise.resolve(o)}loadKeyHTTP(t,n){const o=this.config,m=o.loader,E=new m(o);return n.keyLoader=t.loader=E,t.keyLoadPromise=new Promise((C,U)=>{const H={keyInfo:t,frag:n,responseType:"arraybuffer",url:t.decryptdata.uri},$=o.keyLoadPolicy.default,ae={loadPolicy:$,timeout:$.maxLoadTimeMs,maxRetry:0,retryDelay:0,maxRetryDelay:0},ce={onSuccess:(xe,Te,De,tt)=>{const{frag:at,keyInfo:Bt,url:dr}=De;if(!at.decryptdata||Bt!==this.keyUriToKeyInfo[dr])return U(this.createKeyLoadError(at,f.KEY_LOAD_ERROR,new Error("after key load, decryptdata unset or changed"),tt));Bt.decryptdata.key=at.decryptdata.key=new Uint8Array(xe.data),at.keyLoader=null,Bt.loader=null,C({frag:at,keyInfo:Bt})},onError:(xe,Te,De,tt)=>{this.resetLoader(Te),U(this.createKeyLoadError(n,f.KEY_LOAD_ERROR,new Error(`HTTP Error ${xe.code} loading key ${xe.text}`),De,b({url:H.url,data:void 0},xe)))},onTimeout:(xe,Te,De)=>{this.resetLoader(Te),U(this.createKeyLoadError(n,f.KEY_LOAD_TIMEOUT,new Error("key loading timed out"),De))},onAbort:(xe,Te,De)=>{this.resetLoader(Te),U(this.createKeyLoadError(n,f.INTERNAL_ABORTED,new Error("key loading aborted"),De))}};E.load(H,ae,ce)})}resetLoader(t){const{frag:n,keyInfo:o,url:m}=t,E=o.loader;n.keyLoader===E&&(n.keyLoader=null,o.loader=null),delete this.keyUriToKeyInfo[m],E&&E.destroy()}}function Le(P){const{type:t}=P;switch(t){case h.AUDIO_TRACK:return u.AUDIO;case h.SUBTITLE_TRACK:return u.SUBTITLE;default:return u.MAIN}}function lt(P,t){let n=P.url;return(n===void 0||n.indexOf("data:")===0)&&(n=t.url),n}class jt{constructor(t){this.hls=void 0,this.loaders=Object.create(null),this.variableList=null,this.onManifestLoaded=this.checkAutostartLoad,this.hls=t,this.registerListeners()}startLoad(t){}stopLoad(){this.destroyInternalLoaders()}registerListeners(){const{hls:t}=this;t.on(s.MANIFEST_LOADING,this.onManifestLoading,this),t.on(s.LEVEL_LOADING,this.onLevelLoading,this),t.on(s.AUDIO_TRACK_LOADING,this.onAudioTrackLoading,this),t.on(s.SUBTITLE_TRACK_LOADING,this.onSubtitleTrackLoading,this),t.on(s.LEVELS_UPDATED,this.onLevelsUpdated,this)}unregisterListeners(){const{hls:t}=this;t.off(s.MANIFEST_LOADING,this.onManifestLoading,this),t.off(s.LEVEL_LOADING,this.onLevelLoading,this),t.off(s.AUDIO_TRACK_LOADING,this.onAudioTrackLoading,this),t.off(s.SUBTITLE_TRACK_LOADING,this.onSubtitleTrackLoading,this),t.off(s.LEVELS_UPDATED,this.onLevelsUpdated,this)}createInternalLoader(t){const n=this.hls.config,o=n.pLoader,m=n.loader,E=o||m,C=new E(n);return this.loaders[t.type]=C,C}getInternalLoader(t){return this.loaders[t.type]}resetInternalLoader(t){this.loaders[t]&&delete this.loaders[t]}destroyInternalLoaders(){for(const t in this.loaders){const n=this.loaders[t];n&&n.destroy(),this.resetInternalLoader(t)}}destroy(){this.variableList=null,this.unregisterListeners(),this.destroyInternalLoaders()}onManifestLoading(t,n){const{url:o}=n;this.variableList=null,this.load({id:null,level:0,responseType:"text",type:h.MANIFEST,url:o,deliveryDirectives:null,levelOrTrack:null})}onLevelLoading(t,n){const{id:o,level:m,pathwayId:E,url:C,deliveryDirectives:U,levelInfo:H}=n;this.load({id:o,level:m,pathwayId:E,responseType:"text",type:h.LEVEL,url:C,deliveryDirectives:U,levelOrTrack:H})}onAudioTrackLoading(t,n){const{id:o,groupId:m,url:E,deliveryDirectives:C,track:U}=n;this.load({id:o,groupId:m,level:null,responseType:"text",type:h.AUDIO_TRACK,url:E,deliveryDirectives:C,levelOrTrack:U})}onSubtitleTrackLoading(t,n){const{id:o,groupId:m,url:E,deliveryDirectives:C,track:U}=n;this.load({id:o,groupId:m,level:null,responseType:"text",type:h.SUBTITLE_TRACK,url:E,deliveryDirectives:C,levelOrTrack:U})}onLevelsUpdated(t,n){const o=this.loaders[h.LEVEL];if(o){const m=o.context;m&&!n.levels.some(E=>E===m.levelOrTrack)&&(o.abort(),delete this.loaders[h.LEVEL])}}load(t){var n;const o=this.hls.config;let m=this.getInternalLoader(t);if(m){const $=this.hls.logger,ae=m.context;if(ae&&ae.levelOrTrack===t.levelOrTrack&&(ae.url===t.url||ae.deliveryDirectives&&!t.deliveryDirectives)){ae.url===t.url?$.log(`[playlist-loader]: ignore ${t.url} ongoing request`):$.log(`[playlist-loader]: ignore ${t.url} in favor of ${ae.url}`);return}$.log(`[playlist-loader]: aborting previous loader for type: ${t.type}`),m.abort()}let E;if(t.type===h.MANIFEST?E=o.manifestLoadPolicy.default:E=y({},o.playlistLoadPolicy.default,{timeoutRetry:null,errorRetry:null}),m=this.createInternalLoader(t),r((n=t.deliveryDirectives)==null?void 0:n.part)){let $;if(t.type===h.LEVEL&&t.level!==null?$=this.hls.levels[t.level].details:t.type===h.AUDIO_TRACK&&t.id!==null?$=this.hls.audioTracks[t.id].details:t.type===h.SUBTITLE_TRACK&&t.id!==null&&($=this.hls.subtitleTracks[t.id].details),$){const ae=$.partTarget,ce=$.targetduration;if(ae&&ce){const xe=Math.max(ae*3,ce*.8)*1e3;E=y({},E,{maxTimeToFirstByteMs:Math.min(xe,E.maxTimeToFirstByteMs),maxLoadTimeMs:Math.min(xe,E.maxTimeToFirstByteMs)})}}}const C=E.errorRetry||E.timeoutRetry||{},U={loadPolicy:E,timeout:E.maxLoadTimeMs,maxRetry:C.maxNumRetry||0,retryDelay:C.retryDelayMs||0,maxRetryDelay:C.maxRetryDelayMs||0},H={onSuccess:($,ae,ce,xe)=>{const Te=this.getInternalLoader(ce);this.resetInternalLoader(ce.type);const De=$.data;if(De.indexOf("#EXTM3U")!==0){this.handleManifestParsingError($,ce,new Error("no EXTM3U delimiter"),xe||null,ae);return}ae.parsing.start=performance.now(),fs.isMediaPlaylist(De)||ce.type!==h.MANIFEST?this.handleTrackOrLevelPlaylist($,ae,ce,xe||null,Te):this.handleMasterPlaylist($,ae,ce,xe)},onError:($,ae,ce,xe)=>{this.handleNetworkError(ae,ce,!1,$,xe)},onTimeout:($,ae,ce)=>{this.handleNetworkError(ae,ce,!0,void 0,$)}};m.load(t,U,H)}checkAutostartLoad(){if(!this.hls)return;const{config:{autoStartLoad:t,startPosition:n},forceStartLoad:o}=this.hls;(t||o)&&(this.hls.logger.log(`${t?"auto":"force"} startLoad with configured startPosition ${n}`),this.hls.startLoad(n))}handleMasterPlaylist(t,n,o,m){const E=this.hls,C=t.data,U=lt(t,o),H=fs.parseMasterPlaylist(C,U);if(H.playlistParsingError){this.handleManifestParsingError(t,o,H.playlistParsingError,m,n);return}const{contentSteering:$,levels:ae,sessionData:ce,sessionKeys:xe,startTimeOffset:Te,variableList:De}=H;this.variableList=De;const{AUDIO:tt=[],SUBTITLES:at,"CLOSED-CAPTIONS":Bt}=fs.parseMasterPlaylistMedia(C,U,H);tt.length&&!tt.some(ar=>!ar.url)&&ae[0].audioCodec&&!ae[0].attrs.AUDIO&&(this.hls.logger.log("[playlist-loader]: audio codec signaled in quality level, but no embedded audio track signaled, create one"),tt.unshift({type:"main",name:"main",groupId:"main",default:!1,autoselect:!1,forced:!1,id:-1,attrs:new ji({}),bitrate:0,url:""})),E.trigger(s.MANIFEST_LOADED,{levels:ae,audioTracks:tt,subtitles:at,captions:Bt,contentSteering:$,url:U,stats:n,networkDetails:m,sessionData:ce,sessionKeys:xe,startTimeOffset:Te,variableList:De})}handleTrackOrLevelPlaylist(t,n,o,m,E){const C=this.hls,{id:U,level:H,type:$}=o,ae=lt(t,o),ce=r(H)?H:r(U)?U:0,xe=Le(o),Te=fs.parseLevelPlaylist(t.data,ae,ce,xe,0,this.variableList);if($===h.MANIFEST){const De={attrs:new ji({}),bitrate:0,details:Te,name:"",url:ae};Te.requestScheduled=n.loading.start+ur(Te,0),C.trigger(s.MANIFEST_LOADED,{levels:[De],audioTracks:[],url:ae,stats:n,networkDetails:m,sessionData:null,sessionKeys:null,contentSteering:null,startTimeOffset:null,variableList:null})}n.parsing.end=performance.now(),o.levelDetails=Te,this.handlePlaylistLoaded(Te,t,n,o,m,E)}handleManifestParsingError(t,n,o,m,E){this.hls.trigger(s.ERROR,{type:c.NETWORK_ERROR,details:f.MANIFEST_PARSING_ERROR,fatal:n.type===h.MANIFEST,url:t.url,err:o,error:o,reason:o.message,response:t,context:n,networkDetails:m,stats:E})}handleNetworkError(t,n,o=!1,m,E){let C=`A network ${o?"timeout":"error"+(m?" (status "+m.code+")":"")} occurred while loading ${t.type}`;t.type===h.LEVEL?C+=`: ${t.level} id: ${t.id}`:(t.type===h.AUDIO_TRACK||t.type===h.SUBTITLE_TRACK)&&(C+=` id: ${t.id} group-id: "${t.groupId}"`);const U=new Error(C);this.hls.logger.warn(`[playlist-loader]: ${C}`);let H=f.UNKNOWN,$=!1;const ae=this.getInternalLoader(t);switch(t.type){case h.MANIFEST:H=o?f.MANIFEST_LOAD_TIMEOUT:f.MANIFEST_LOAD_ERROR,$=!0;break;case h.LEVEL:H=o?f.LEVEL_LOAD_TIMEOUT:f.LEVEL_LOAD_ERROR,$=!1;break;case h.AUDIO_TRACK:H=o?f.AUDIO_TRACK_LOAD_TIMEOUT:f.AUDIO_TRACK_LOAD_ERROR,$=!1;break;case h.SUBTITLE_TRACK:H=o?f.SUBTITLE_TRACK_LOAD_TIMEOUT:f.SUBTITLE_LOAD_ERROR,$=!1;break}ae&&this.resetInternalLoader(t.type);const ce={type:c.NETWORK_ERROR,details:H,fatal:$,url:t.url,loader:ae,context:t,error:U,networkDetails:n,stats:E};if(m){const xe=(n==null?void 0:n.url)||t.url;ce.response=b({url:xe,data:void 0},m)}this.hls.trigger(s.ERROR,ce)}handlePlaylistLoaded(t,n,o,m,E,C){const U=this.hls,{type:H,level:$,id:ae,groupId:ce,deliveryDirectives:xe}=m,Te=lt(n,m),De=Le(m),tt=typeof m.level=="number"&&De===u.MAIN?$:void 0;if(!t.fragments.length){const Bt=t.playlistParsingError=new Error("No Segments found in Playlist");U.trigger(s.ERROR,{type:c.NETWORK_ERROR,details:f.LEVEL_EMPTY_ERROR,fatal:!1,url:Te,error:Bt,reason:Bt.message,response:n,context:m,level:tt,parent:De,networkDetails:E,stats:o});return}t.targetduration||(t.playlistParsingError=new Error("Missing Target Duration"));const at=t.playlistParsingError;if(at){if(this.hls.logger.warn(at),!U.config.ignorePlaylistParsingErrors){U.trigger(s.ERROR,{type:c.NETWORK_ERROR,details:f.LEVEL_PARSING_ERROR,fatal:!1,url:Te,error:at,reason:at.message,response:n,context:m,level:tt,parent:De,networkDetails:E,stats:o});return}t.playlistParsingError=null}switch(t.live&&C&&(C.getCacheAge&&(t.ageHeader=C.getCacheAge()||0),(!C.getCacheAge||isNaN(t.ageHeader))&&(t.ageHeader=0)),H){case h.MANIFEST:case h.LEVEL:U.trigger(s.LEVEL_LOADED,{details:t,levelInfo:m.levelOrTrack||U.levels[0],level:tt||0,id:ae||0,stats:o,networkDetails:E,deliveryDirectives:xe,withoutMultiVariant:H===h.MANIFEST});break;case h.AUDIO_TRACK:U.trigger(s.AUDIO_TRACK_LOADED,{details:t,track:m.levelOrTrack,id:ae||0,groupId:ce||"",stats:o,networkDetails:E,deliveryDirectives:xe});break;case h.SUBTITLE_TRACK:U.trigger(s.SUBTITLE_TRACK_LOADED,{details:t,track:m.levelOrTrack,id:ae||0,groupId:ce||"",stats:o,networkDetails:E,deliveryDirectives:xe});break}}}class rr{static get version(){return In}static isMSESupported(){return $f()}static isSupported(){return Tf()}static getMediaSource(){return oe()}static get Events(){return s}static get MetadataSchema(){return we}static get ErrorTypes(){return c}static get ErrorDetails(){return f}static get DefaultConfig(){return rr.defaultConfig?rr.defaultConfig:tf}static set DefaultConfig(t){rr.defaultConfig=t}constructor(t={}){this.config=void 0,this.userConfig=void 0,this.logger=void 0,this.coreComponents=void 0,this.networkControllers=void 0,this._emitter=new ks,this._autoLevelCapping=-1,this._maxHdcpLevel=null,this.abrController=void 0,this.bufferController=void 0,this.capLevelController=void 0,this.latencyController=void 0,this.levelController=void 0,this.streamController=void 0,this.audioStreamController=void 0,this.subtititleStreamController=void 0,this.audioTrackController=void 0,this.subtitleTrackController=void 0,this.interstitialsController=void 0,this.gapController=void 0,this.emeController=void 0,this.cmcdController=void 0,this._media=null,this._url=null,this._sessionId=void 0,this.triggeringException=void 0,this.started=!1;const n=this.logger=Q(t.debug||!1,"Hls instance",t.assetPlayerId),o=this.config=fl(rr.DefaultConfig,t,n);this.userConfig=t,o.progressive&&Wo(o,n);const{abrController:m,bufferController:E,capLevelController:C,errorController:U,fpsController:H}=o,$=new U(this),ae=this.abrController=new m(this),ce=new Or(this),xe=o.interstitialsController,Te=xe?this.interstitialsController=new xe(this,rr):null,De=this.bufferController=new E(this,ce),tt=this.capLevelController=new C(this),at=new H(this),Bt=new jt(this),dr=o.contentSteeringController,ar=dr?new dr(this):null,Zr=this.levelController=new Bf(this,ar),Gr=new Hf(this),fn=new ve(this.config),Vr=this.streamController=new Z(this,ce,fn),on=this.gapController=new mf(this,ce);tt.setStreamController(Vr),at.setStreamController(Vr);const _n=[Bt,Zr,Vr];Te&&_n.splice(1,0,Te),ar&&_n.splice(1,0,ar),this.networkControllers=_n;const Xr=[ae,De,on,tt,at,Gr,ce];this.audioTrackController=this.createController(o.audioTrackController,_n);const Yn=o.audioStreamController;Yn&&_n.push(this.audioStreamController=new Yn(this,ce,fn)),this.subtitleTrackController=this.createController(o.subtitleTrackController,_n);const di=o.subtitleStreamController;di&&_n.push(this.subtititleStreamController=new di(this,ce,fn)),this.createController(o.timelineController,Xr),fn.emeController=this.emeController=this.createController(o.emeController,Xr),this.cmcdController=this.createController(o.cmcdController,Xr),this.latencyController=this.createController(Cf,Xr),this.coreComponents=Xr,_n.push($);const os=$.onErrorOut;typeof os=="function"&&this.on(s.ERROR,os,$),this.on(s.MANIFEST_LOADED,Bt.onManifestLoaded,Bt)}createController(t,n){if(t){const o=new t(this);return n&&n.push(o),o}return null}on(t,n,o=this){this._emitter.on(t,n,o)}once(t,n,o=this){this._emitter.once(t,n,o)}removeAllListeners(t){this._emitter.removeAllListeners(t)}off(t,n,o=this,m){this._emitter.off(t,n,o,m)}listeners(t){return this._emitter.listeners(t)}emit(t,n,o){return this._emitter.emit(t,n,o)}trigger(t,n){if(this.config.debug)return this.emit(t,t,n);try{return this.emit(t,t,n)}catch(o){if(this.logger.error("An internal error happened while handling event "+t+'. Error message: "'+o.message+'". 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0}initCea608Parsers(){const t=new es(this,"textTrack1"),n=new es(this,"textTrack2"),o=new es(this,"textTrack3"),m=new es(this,"textTrack4");this.cea608Parser1=new bc(1,t,n),this.cea608Parser2=new bc(3,o,m)}addCues(t,n,o,m,E){let C=!1;for(let U=E.length;U--;){const H=E[U],$=ul(H[0],H[1],n,o);if($>=0&&(H[0]=Math.min(H[0],n),H[1]=Math.max(H[1],o),C=!0,$/(o-n)>.5))return}if(C||E.push([n,o]),this.config.renderTextTracksNatively){const U=this.captionsTracks[t];this.Cues.newCue(U,n,o,m)}else{const U=this.Cues.newCue(null,n,o,m);this.hls.trigger(s.CUES_PARSED,{type:"captions",cues:U,track:t})}}onInitPtsFound(t,{frag:n,id:o,initPTS:m,timescale:E}){const{unparsedVttFrags:C}=this;o===u.MAIN&&(this.initPTS[n.cc]={baseTime:m,timescale:E}),C.length&&(this.unparsedVttFrags=[],C.forEach(U=>{this.onFragLoaded(s.FRAG_LOADED,U)}))}getExistingTrack(t,n){const{media:o}=this;if(o)for(let m=0;m{Mu(m[E]),delete m[E]}),this.nonNativeCaptionsTracks={}}onManifestLoading(){this.lastCc=-1,this.lastSn=-1,this.lastPartIndex=-1,this.prevCC=-1,this.vttCCs=ll(),this._cleanTracks(),this.tracks=[],this.captionsTracks={},this.nonNativeCaptionsTracks={},this.textTracks=[],this.unparsedVttFrags=[],this.initPTS=[],this.cea608Parser1&&this.cea608Parser2&&(this.cea608Parser1.reset(),this.cea608Parser2.reset())}_cleanTracks(){const{media:t}=this;if(!t)return;const n=t.textTracks;if(n)for(let o=0;oE.textCodec===$u);if(this.config.enableWebVTT||m&&this.config.enableIMSC1){if(oc(this.tracks,o)){this.tracks=o;return}if(this.textTracks=[],this.tracks=o,this.config.renderTextTracksNatively){const C=this.media,U=C?Dc(C.textTracks):null;if(this.tracks.forEach((H,$)=>{let ae;if(U){let ce=null;for(let xe=0;xe$!==null).map($=>$.label);H.length&&this.hls.logger.warn(`Media element contains unused subtitle tracks: ${H.join(", ")}. Replace media element for each source to clear TextTracks and captions menu.`)}}else if(this.tracks.length){const C=this.tracks.map(U=>({label:U.name,kind:U.type.toLowerCase(),default:U.default,subtitleTrack:U}));this.hls.trigger(s.NON_NATIVE_TEXT_TRACKS_FOUND,{tracks:C})}}}onManifestLoaded(t,n){this.config.enableCEA708Captions&&n.captions&&n.captions.forEach(o=>{const m=/(?:CC|SERVICE)([1-4])/.exec(o.instreamId);if(!m)return;const E=`textTrack${m[1]}`,C=this.captionsProperties[E];C&&(C.label=o.name,o.lang&&(C.languageCode=o.lang),C.media=o)})}closedCaptionsForLevel(t){const n=this.hls.levels[t.level];return n==null?void 0:n.attrs["CLOSED-CAPTIONS"]}onFragLoading(t,n){if(this.enabled&&n.frag.type===u.MAIN){var o,m;const{cea608Parser1:E,cea608Parser2:C,lastSn:U}=this,{cc:H,sn:$}=n.frag,ae=(o=(m=n.part)==null?void 0:m.index)!=null?o:-1;E&&C&&($!==U+1||$===U&&ae!==this.lastPartIndex+1||H!==this.lastCc)&&(E.reset(),C.reset()),this.lastCc=H,this.lastSn=$,this.lastPartIndex=ae}}onFragLoaded(t,n){const{frag:o,payload:m}=n;if(o.type===u.SUBTITLE)if(m.byteLength){const E=o.decryptdata,C="stats"in n;if(E==null||!E.encrypted||C){const U=this.tracks[o.level],H=this.vttCCs;H[o.cc]||(H[o.cc]={start:o.start,prevCC:this.prevCC,new:!0},this.prevCC=o.cc),U&&U.textCodec===$u?this._parseIMSC1(o,m):this._parseVTTs(n)}}else this.hls.trigger(s.SUBTITLE_FRAG_PROCESSED,{success:!1,frag:o,error:new Error("Empty subtitle payload")})}_parseIMSC1(t,n){const o=this.hls;nc(n,this.initPTS[t.cc],m=>{this._appendCues(m,t.level),o.trigger(s.SUBTITLE_FRAG_PROCESSED,{success:!0,frag:t})},m=>{o.logger.log(`Failed to parse IMSC1: ${m}`),o.trigger(s.SUBTITLE_FRAG_PROCESSED,{success:!1,frag:t,error:m})})}_parseVTTs(t){var n;const{frag:o,payload:m}=t,{initPTS:E,unparsedVttFrags:C}=this,U=E.length-1;if(!E[o.cc]&&U===-1){C.push(t);return}const H=this.hls,$=(n=o.initSegment)!=null&&n.data?Gt(o.initSegment.data,new Uint8Array(m)).buffer:m;hu($,this.initPTS[o.cc],this.vttCCs,o.cc,o.start,ae=>{this._appendCues(ae,o.level),H.trigger(s.SUBTITLE_FRAG_PROCESSED,{success:!0,frag:o})},ae=>{const ce=ae.message==="Missing initPTS for VTT MPEGTS";ce?C.push(t):this._fallbackToIMSC1(o,m),H.logger.log(`Failed to parse VTT cue: ${ae}`),!(ce&&U>o.cc)&&H.trigger(s.SUBTITLE_FRAG_PROCESSED,{success:!1,frag:o,error:ae})})}_fallbackToIMSC1(t,n){const o=this.tracks[t.level];o.textCodec||nc(n,this.initPTS[t.cc],()=>{o.textCodec=$u,this._parseIMSC1(t,n)},()=>{o.textCodec="wvtt"})}_appendCues(t,n){const o=this.hls;if(this.config.renderTextTracksNatively){const m=this.textTracks[n];if(!m||m.mode==="disabled")return;t.forEach(E=>vc(m,E))}else{const m=this.tracks[n];if(!m)return;const E=m.default?"default":"subtitles"+n;o.trigger(s.CUES_PARSED,{type:"subtitles",cues:t,track:E})}}onFragDecrypted(t,n){const{frag:o}=n;o.type===u.SUBTITLE&&this.onFragLoaded(s.FRAG_LOADED,n)}onSubtitleTracksCleared(){this.tracks=[],this.captionsTracks={}}onFragParsingUserdata(t,n){if(!this.enabled||!this.config.enableCEA708Captions)return;const{frag:o,samples:m}=n;if(!(o.type===u.MAIN&&this.closedCaptionsForLevel(o)==="NONE"))for(let E=0;EZo(U[H],n,o))}if(this.config.renderTextTracksNatively&&n===0&&m!==void 0){const{textTracks:U}=this;Object.keys(U).forEach(H=>Zo(U[H],n,m))}}}extractCea608Data(t){const n=[[],[]],o=t[0]&31;let m=2;for(let E=0;E=16?H--:H++;const Te=ol($.trim()),De=Ll(t,n,Te);P!=null&&(ce=P.cues)!=null&&ce.getCueById(De)||(C=new ae(t,n,Te),C.id=De,C.line=xe+1,C.align="left",C.position=10+Math.min(80,Math.floor(H*8/32)*10),m.push(C))}return P&&m.length&&(m.sort((xe,Te)=>xe.line==="auto"||Te.line==="auto"?0:xe.line>8&&Te.line>8?Te.line-xe.line:xe.line-Te.line),m.forEach(xe=>vc(P,xe))),m}};function Fl(){if(self.fetch&&self.AbortController&&self.ReadableStream&&self.Request)try{return new self.ReadableStream({}),!0}catch(P){}return!1}const Sf=/(\d+)-(\d+)\/(\d+)/;class xc{constructor(t){this.fetchSetup=void 0,this.requestTimeout=void 0,this.request=null,this.response=null,this.controller=void 0,this.context=null,this.config=null,this.callbacks=null,this.stats=void 0,this.loader=null,this.fetchSetup=t.fetchSetup||Of,this.controller=new self.AbortController,this.stats=new z}destroy(){this.loader=this.callbacks=this.context=this.config=this.request=null,this.abortInternal(),this.response=null,this.fetchSetup=this.controller=this.stats=null}abortInternal(){this.controller&&!this.stats.loading.end&&(this.stats.aborted=!0,this.controller.abort())}abort(){var t;this.abortInternal(),(t=this.callbacks)!=null&&t.onAbort&&this.callbacks.onAbort(this.stats,this.context,this.response)}load(t,n,o){const m=this.stats;if(m.loading.start)throw new Error("Loader can only be used once.");m.loading.start=self.performance.now();const E=Jc(t,this.controller.signal),C=t.responseType==="arraybuffer",U=C?"byteLength":"length",{maxTimeToFirstByteMs:H,maxLoadTimeMs:$}=n.loadPolicy;this.context=t,this.config=n,this.callbacks=o,this.request=this.fetchSetup(t,E),self.clearTimeout(this.requestTimeout),n.timeout=H&&r(H)?H:$,this.requestTimeout=self.setTimeout(()=>{this.callbacks&&(this.abortInternal(),this.callbacks.onTimeout(m,t,this.response))},n.timeout),(Iu(this.request)?this.request.then(self.fetch):self.fetch(this.request)).then(ce=>{var xe;this.response=this.loader=ce;const Te=Math.max(self.performance.now(),m.loading.start);if(self.clearTimeout(this.requestTimeout),n.timeout=$,this.requestTimeout=self.setTimeout(()=>{this.callbacks&&(this.abortInternal(),this.callbacks.onTimeout(m,t,this.response))},$-(Te-m.loading.start)),!ce.ok){const{status:tt,statusText:at}=ce;throw new Xu(at||"fetch, bad network response",tt,ce)}m.loading.first=Te,m.total=cl(ce.headers)||m.total;const De=(xe=this.callbacks)==null?void 0:xe.onProgress;return De&&r(n.highWaterMark)?this.loadProgressively(ce,m,t,n.highWaterMark,De):C?ce.arrayBuffer():t.responseType==="json"?ce.json():ce.text()}).then(ce=>{var xe,Te;const De=this.response;if(!De)throw new Error("loader destroyed");self.clearTimeout(this.requestTimeout),m.loading.end=Math.max(self.performance.now(),m.loading.first);const tt=ce[U];tt&&(m.loaded=m.total=tt);const at={url:De.url,data:ce,code:De.status},Bt=(xe=this.callbacks)==null?void 0:xe.onProgress;Bt&&!r(n.highWaterMark)&&Bt(m,t,ce,De),(Te=this.callbacks)==null||Te.onSuccess(at,m,t,De)}).catch(ce=>{var xe;if(self.clearTimeout(this.requestTimeout),m.aborted)return;const Te=ce&&ce.code||0,De=ce?ce.message:null;(xe=this.callbacks)==null||xe.onError({code:Te,text:De},t,ce?ce.details:null,m)})}getCacheAge(){let t=null;if(this.response){const n=this.response.headers.get("age");t=n?parseFloat(n):null}return t}getResponseHeader(t){return this.response?this.response.headers.get(t):null}loadProgressively(t,n,o,m=0,E){const C=new ci,U=t.body.getReader(),H=()=>U.read().then($=>{if($.done)return C.dataLength&&E(n,o,C.flush().buffer,t),Promise.resolve(new ArrayBuffer(0));const ae=$.value,ce=ae.length;return n.loaded+=ce,ce=m&&E(n,o,C.flush().buffer,t)):E(n,o,ae.buffer,t),H()}).catch(()=>Promise.reject());return H()}}function Jc(P,t){const n={method:"GET",mode:"cors",credentials:"same-origin",signal:t,headers:new self.Headers(y({},P.headers))};return P.rangeEnd&&n.headers.set("Range","bytes="+P.rangeStart+"-"+String(P.rangeEnd-1)),n}function hf(P){const t=Sf.exec(P);if(t)return parseInt(t[2])-parseInt(t[1])+1}function cl(P){const t=P.get("Content-Range");if(t){const o=hf(t);if(r(o))return o}const n=P.get("Content-Length");if(n)return parseInt(n)}function Of(P,t){return new self.Request(P.url,t)}class Xu extends Error{constructor(t,n,o){super(t),this.code=void 0,this.details=void 0,this.code=n,this.details=o}}const Lc=/^age:\s*[\d.]+\s*$/im;class ef{constructor(t){this.xhrSetup=void 0,this.requestTimeout=void 0,this.retryTimeout=void 0,this.retryDelay=void 0,this.config=null,this.callbacks=null,this.context=null,this.loader=null,this.stats=void 0,this.xhrSetup=t&&t.xhrSetup||null,this.stats=new z,this.retryDelay=0}destroy(){this.callbacks=null,this.abortInternal(),this.loader=null,this.config=null,this.context=null,this.xhrSetup=null}abortInternal(){const 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m=n.readyState,E=this.config;if(!o.aborted&&m>=2&&(o.loading.first===0&&(o.loading.first=Math.max(self.performance.now(),o.loading.start),E.timeout!==E.loadPolicy.maxLoadTimeMs&&(self.clearTimeout(this.requestTimeout),E.timeout=E.loadPolicy.maxLoadTimeMs,this.requestTimeout=self.setTimeout(this.loadtimeout.bind(this),E.loadPolicy.maxLoadTimeMs-(o.loading.first-o.loading.start)))),m===4)){self.clearTimeout(this.requestTimeout),n.onreadystatechange=null,n.onprogress=null;const $=n.status,ae=n.responseType==="text"?n.responseText:null;if($>=200&&$<300){const De=ae!=null?ae:n.response;if(De!=null){var C,U;o.loading.end=Math.max(self.performance.now(),o.loading.first);const tt=n.responseType==="arraybuffer"?De.byteLength:De.length;o.loaded=o.total=tt,o.bwEstimate=o.total*8e3/(o.loading.end-o.loading.first);const at=(C=this.callbacks)==null?void 0:C.onProgress;at&&at(o,t,De,n);const Bt={url:n.responseURL,data:De,code:$};(U=this.callbacks)==null||U.onSuccess(Bt,o,t,n);return}}const ce=E.loadPolicy.errorRetry,xe=o.retry,Te={url:t.url,data:void 0,code:$};if(ze(ce,xe,!1,Te))this.retry(ce);else{var H;Y.error(`${$} while loading ${t.url}`),(H=this.callbacks)==null||H.onError({code:$,text:n.statusText},t,n,o)}}}loadtimeout(){if(!this.config)return;const t=this.config.loadPolicy.timeoutRetry,n=this.stats.retry;if(ze(t,n,!0))this.retry(t);else{var o;Y.warn(`timeout while loading ${(o=this.context)==null?void 0:o.url}`);const m=this.callbacks;m&&(this.abortInternal(),m.onTimeout(this.stats,this.context,this.loader))}}retry(t){const{context:n,stats:o}=this;this.retryDelay=Ir(t,o.retry),o.retry++,Y.warn(`${status?"HTTP Status "+status:"Timeout"} while loading ${n==null?void 0:n.url}, retrying ${o.retry}/${t.maxNumRetry} in ${this.retryDelay}ms`),this.abortInternal(),this.loader=null,self.clearTimeout(this.retryTimeout),this.retryTimeout=self.setTimeout(this.loadInternal.bind(this),this.retryDelay)}loadprogress(t){const n=this.stats;n.loaded=t.loaded,t.lengthComputable&&(n.total=t.total)}getCacheAge(){let t=null;if(this.loader&&Lc.test(this.loader.getAllResponseHeaders())){const n=this.loader.getResponseHeader("age");t=n?parseFloat(n):null}return t}getResponseHeader(t){return this.loader&&new RegExp(`^${t}:\\s*[\\d.]+\\s*$`,"im").test(this.loader.getAllResponseHeaders())?this.loader.getResponseHeader(t):null}}const Ho={maxTimeToFirstByteMs:8e3,maxLoadTimeMs:2e4,timeoutRetry:null,errorRetry:null},tf=b(b({autoStartLoad:!0,startPosition:-1,defaultAudioCodec:void 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0,abrController:Gi,bufferController:Hu,capLevelController:cc,errorController:ir,fpsController:nl,stretchShortVideoTrack:!1,maxAudioFramesDrift:1,forceKeyFrameOnDiscontinuity:!0,abrEwmaFastLive:3,abrEwmaSlowLive:9,abrEwmaFastVoD:3,abrEwmaSlowVoD:9,abrEwmaDefaultEstimate:5e5,abrEwmaDefaultEstimateMax:5e6,abrBandWidthFactor:.95,abrBandWidthUpFactor:.7,abrMaxWithRealBitrate:!1,maxStarvationDelay:4,maxLoadingDelay:4,minAutoBitrate:0,emeEnabled:!1,widevineLicenseUrl:void 0,drmSystems:{},drmSystemOptions:{},requestMediaKeySystemAccessFunc:Fa,testBandwidth:!0,progressive:!1,lowLatencyMode:!0,cmcd:void 0,enableDateRangeMetadataCues:!0,enableEmsgMetadataCues:!0,enableEmsgKLVMetadata:!1,enableID3MetadataCues:!0,enableInterstitialPlayback:!0,interstitialAppendInPlace:!0,interstitialLiveLookAhead:10,useMediaCapabilities:!0,certLoadPolicy:{default:Ho},keyLoadPolicy:{default:{maxTimeToFirstByteMs:8e3,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:2e4,backoff:"linear"},errorRetry:{maxNumRetry:8,retryDelayMs:1e3,maxRetryDelayMs:2e4,backoff:"linear"}}},manifestLoadPolicy:{default:{maxTimeToFirstByteMs:1/0,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},playlistLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:2,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},fragLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:12e4,timeoutRetry:{maxNumRetry:4,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:6,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},steeringManifestLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},interstitialAssetListLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:3e4,timeoutRetry:{maxNumRetry:0,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:0,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},manifestLoadingTimeOut:1e4,manifestLoadingMaxRetry:1,manifestLoadingRetryDelay:1e3,manifestLoadingMaxRetryTimeout:64e3,levelLoadingTimeOut:1e4,levelLoadingMaxRetry:4,levelLoadingRetryDelay:1e3,levelLoadingMaxRetryTimeout:64e3,fragLoadingTimeOut:2e4,fragLoadingMaxRetry:6,fragLoadingRetryDelay:1e3,fragLoadingMaxRetryTimeout:64e3},pf()),{},{subtitleStreamController:I,subtitleTrackController:Kc,timelineController:Ku,audioStreamController:Zl,audioTrackController:Sc,emeController:Lu,cmcdController:Qo,contentSteeringController:$o,interstitialsController:yc});function pf(){return{cueHandler:wf,enableWebVTT:!0,enableIMSC1:!0,enableCEA708Captions:!0,captionsTextTrack1Label:"English",captionsTextTrack1LanguageCode:"en",captionsTextTrack2Label:"Spanish",captionsTextTrack2LanguageCode:"es",captionsTextTrack3Label:"Unknown CC",captionsTextTrack3LanguageCode:"",captionsTextTrack4Label:"Unknown CC",captionsTextTrack4LanguageCode:"",renderTextTracksNatively:!0}}function fl(P,t,n){if((t.liveSyncDurationCount||t.liveMaxLatencyDurationCount)&&(t.liveSyncDuration||t.liveMaxLatencyDuration))throw new Error("Illegal hls.js config: don't mix up liveSyncDurationCount/liveMaxLatencyDurationCount and liveSyncDuration/liveMaxLatencyDuration");if(t.liveMaxLatencyDurationCount!==void 0&&(t.liveSyncDurationCount===void 0||t.liveMaxLatencyDurationCount<=t.liveSyncDurationCount))throw new Error('Illegal hls.js config: "liveMaxLatencyDurationCount" must be greater than "liveSyncDurationCount"');if(t.liveMaxLatencyDuration!==void 0&&(t.liveSyncDuration===void 0||t.liveMaxLatencyDuration<=t.liveSyncDuration))throw new Error('Illegal hls.js config: "liveMaxLatencyDuration" must be greater than "liveSyncDuration"');const o=Bl(P),m=["manifest","level","frag"],E=["TimeOut","MaxRetry","RetryDelay","MaxRetryTimeout"];return m.forEach(C=>{const U=`${C==="level"?"playlist":C}LoadPolicy`,H=t[U]===void 0,$=[];E.forEach(ae=>{const ce=`${C}Loading${ae}`,xe=t[ce];if(xe!==void 0&&H){$.push(ce);const Te=o[U].default;switch(t[U]={default:Te},ae){case"TimeOut":Te.maxLoadTimeMs=xe,Te.maxTimeToFirstByteMs=xe;break;case"MaxRetry":Te.errorRetry.maxNumRetry=xe,Te.timeoutRetry.maxNumRetry=xe;break;case"RetryDelay":Te.errorRetry.retryDelayMs=xe,Te.timeoutRetry.retryDelayMs=xe;break;case"MaxRetryTimeout":Te.errorRetry.maxRetryDelayMs=xe,Te.timeoutRetry.maxRetryDelayMs=xe;break}}}),$.length&&n.warn(`hls.js config: "${$.join('", "')}" setting(s) are deprecated, use "${U}": ${jn(t[U])}`)}),b(b({},o),t)}function Bl(P){return P&&typeof P=="object"?Array.isArray(P)?P.map(Bl):Object.keys(P).reduce((t,n)=>(t[n]=Bl(P[n]),t),{}):P}function Wo(P,t){const n=P.loader;n!==xc&&n!==ef?(t.log("[config]: Custom loader detected, cannot enable progressive streaming"),P.progressive=!1):Fl()&&(P.loader=xc,P.progressive=!0,P.enableSoftwareAES=!0,t.log("[config]: Progressive streaming enabled, using FetchLoader"))}const Ec=2,_f=.1,Mc=.05,Fc=100;class mf extends Is{constructor(t,n){super("gap-controller",t.logger),this.hls=null,this.fragmentTracker=null,this.media=null,this.mediaSource=void 0,this.nudgeRetry=0,this.stallReported=!1,this.stalled=null,this.moved=!1,this.seeking=!1,this.buffered={},this.lastCurrentTime=0,this.ended=0,this.waiting=0,this.onMediaPlaying=()=>{this.ended=0,this.waiting=0},this.onMediaWaiting=()=>{var o;(o=this.media)!=null&&o.seeking||(this.waiting=self.performance.now(),this.tick())},this.onMediaEnded=()=>{if(this.hls){var o;this.ended=((o=this.media)==null?void 0:o.currentTime)||1,this.hls.trigger(s.MEDIA_ENDED,{stalled:!1})}},this.hls=t,this.fragmentTracker=n,this.registerListeners()}registerListeners(){const{hls:t}=this;t&&(t.on(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.on(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.on(s.BUFFER_APPENDED,this.onBufferAppended,this))}unregisterListeners(){const{hls:t}=this;t&&(t.off(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.off(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.off(s.BUFFER_APPENDED,this.onBufferAppended,this))}destroy(){super.destroy(),this.unregisterListeners(),this.media=this.hls=this.fragmentTracker=null,this.mediaSource=void 0}onMediaAttached(t,n){this.setInterval(Fc),this.mediaSource=n.mediaSource;const o=this.media=n.media;iu(o,"playing",this.onMediaPlaying),iu(o,"waiting",this.onMediaWaiting),iu(o,"ended",this.onMediaEnded)}onMediaDetaching(t,n){this.clearInterval();const{media:o}=this;o&&(qo(o,"playing",this.onMediaPlaying),qo(o,"waiting",this.onMediaWaiting),qo(o,"ended",this.onMediaEnded),this.media=null),this.mediaSource=void 0}onBufferAppended(t,n){this.buffered=n.timeRanges}get hasBuffered(){return Object.keys(this.buffered).length>0}tick(){var t;if(!((t=this.media)!=null&&t.readyState)||!this.hasBuffered)return;const n=this.media.currentTime;this.poll(n,this.lastCurrentTime),this.lastCurrentTime=n}poll(t,n){var o,m;const E=(o=this.hls)==null?void 0:o.config;if(!E)return;const{media:C,stalled:U}=this;if(!C)return;const{seeking:H}=C,$=this.seeking&&!H,ae=!this.seeking&&H,ce=C.paused&&!H||C.ended||C.playbackRate===0;if(this.seeking=H,t!==n){n&&(this.ended=0),this.moved=!0,H||(this.nudgeRetry=0,E.nudgeOnVideoHole&&!ce&&t>n&&this.nudgeOnVideoHole(t,n)),this.waiting===0&&this.stallResolved(t);return}if(ae||$){$&&this.stallResolved(t);return}if(ce){this.nudgeRetry=0,this.stallResolved(t),!this.ended&&C.ended&&this.hls&&(this.ended=t||1,this.hls.trigger(s.MEDIA_ENDED,{stalled:!1}));return}if(!yi.getBuffered(C).length){this.nudgeRetry=0;return}const xe=yi.bufferInfo(C,t,0),Te=xe.nextStart||0,De=this.fragmentTracker;if(H&&De&&this.hls){const fn=Bc(this.hls.inFlightFragments,t),Vr=xe.len>Ec,on=!Te||fn||Te-t>Ec&&!De.getPartialFragment(t);if(Vr||on)return;this.moved=!1}const tt=(m=this.hls)==null?void 0:m.latestLevelDetails;if(!this.moved&&this.stalled!==null&&De){if(!(xe.len>0)&&!Te)return;const Vr=Math.max(Te,xe.start||0)-t,_n=!!(tt!=null&&tt.live)?tt.targetduration*2:Ec,Xr=De.getPartialFragment(t);if(Vr>0&&(Vr<=_n||Xr)){C.paused||this._trySkipBufferHole(Xr);return}}const at=E.detectStallWithCurrentTimeMs,Bt=self.performance.now(),dr=this.waiting;if(U===null){dr>0&&Bt-dr=at||dr)&&this.hls){var Zr;if(((Zr=this.mediaSource)==null?void 0:Zr.readyState)==="ended"&&!(tt!=null&&tt.live)&&Math.abs(t-((tt==null?void 0:tt.edge)||0))<1){if(this.ended)return;this.ended=t||1,this.hls.trigger(s.MEDIA_ENDED,{stalled:!0});return}if(this._reportStall(xe),!this.media||!this.hls)return}const Gr=yi.bufferInfo(C,t,E.maxBufferHole);this._tryFixBufferStall(Gr,ar)}stallResolved(t){const n=this.stalled;if(n&&this.hls&&(this.stalled=null,this.stallReported)){const o=self.performance.now()-n;this.log(`playback not stuck anymore @${t}, after ${Math.round(o)}ms`),this.stallReported=!1,this.waiting=0,this.hls.trigger(s.STALL_RESOLVED,{})}}nudgeOnVideoHole(t,n){var o;const m=this.buffered.video;if(this.hls&&this.media&&this.fragmentTracker&&(o=this.buffered.audio)!=null&&o.length&&m&&m.length>1&&t>m.end(0)){const E=yi.bufferedInfo(yi.timeRangesToArray(this.buffered.audio),t,0);if(E.len>1&&n>=E.start){const C=yi.timeRangesToArray(m),U=yi.bufferedInfo(C,n,0).bufferedIndex;if(U>-1&&UU)&&ae-$<1&&t-$<2){const ce=new Error(`nudging playhead to flush pipeline after video hole. currentTime: ${t} hole: ${$} -> ${ae} buffered index: ${H}`);this.warn(ce.message),this.media.currentTime+=1e-6;const xe=this.fragmentTracker.getPartialFragment(t)||void 0,Te=yi.bufferInfo(this.media,t,0);this.hls.trigger(s.ERROR,{type:c.MEDIA_ERROR,details:f.BUFFER_SEEK_OVER_HOLE,fatal:!1,error:ce,reason:ce.message,frag:xe,buffer:Te.len,bufferInfo:Te})}}}}}_tryFixBufferStall(t,n){var o,m;const{fragmentTracker:E,media:C}=this,U=(o=this.hls)==null?void 0:o.config;if(!C||!E||!U)return;const H=C.currentTime,$=(m=this.hls)==null?void 0:m.latestLevelDetails,ae=E.getPartialFragment(H);if((ae||$!=null&&$.live&&H<$.fragmentStart)&&(this._trySkipBufferHole(ae)||!this.media))return;const ce=t.buffered;(ce&&ce.length>1&&t.len>U.maxBufferHole||t.nextStart&&t.nextStart-HU.highBufferWatchdogPeriod*1e3||this.waiting)&&(this.warn("Trying to nudge playhead over buffer-hole"),this._tryNudgeBuffer(t))}_reportStall(t){const{hls:n,media:o,stallReported:m,stalled:E}=this;if(!m&&E!==null&&o&&n){this.stallReported=!0;const C=new Error(`Playback stalling at @${o.currentTime} due to low buffer (${jn(t)})`);this.warn(C.message),n.trigger(s.ERROR,{type:c.MEDIA_ERROR,details:f.BUFFER_STALLED_ERROR,fatal:!1,error:C,buffer:t.len,bufferInfo:t,stalled:{start:E}})}}_trySkipBufferHole(t){var n;const{fragmentTracker:o,media:m}=this,E=(n=this.hls)==null?void 0:n.config;if(!m||!o||!E)return 0;const C=m.currentTime,U=yi.bufferInfo(m,C,0),H=C0&&U.len<1&&m.readyState<3,xe=H-C;if(xe>0&&(ae||ce)){if(xe>E.maxBufferHole){let De=!1;if(C===0){const tt=o.getAppendedFrag(0,u.MAIN);tt&&H{const P=Nc();try{P&&new P(0,Number.POSITIVE_INFINITY,"")}catch(t){return Number.MAX_VALUE}return Number.POSITIVE_INFINITY})();function vf(P){return Uint8Array.from(P.replace(/^0x/,"").replace(/([\da-fA-F]{2}) ?/g,"0x$1 ").replace(/ +$/,"").split(" ")).buffer}class Hf{constructor(t){this.hls=void 0,this.id3Track=null,this.media=null,this.dateRangeCuesAppended={},this.removeCues=!0,this.onEventCueEnter=()=>{this.hls&&this.hls.trigger(s.EVENT_CUE_ENTER,{})},this.hls=t,this._registerListeners()}destroy(){this._unregisterListeners(),this.id3Track=null,this.media=null,this.dateRangeCuesAppended={},this.hls=this.onEventCueEnter=null}_registerListeners(){const{hls:t}=this;t.on(s.MEDIA_ATTACHING,this.onMediaAttaching,this),t.on(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.on(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.on(s.MANIFEST_LOADING,this.onManifestLoading,this),t.on(s.FRAG_PARSING_METADATA,this.onFragParsingMetadata,this),t.on(s.BUFFER_FLUSHING,this.onBufferFlushing,this),t.on(s.LEVEL_UPDATED,this.onLevelUpdated,this),t.on(s.LEVEL_PTS_UPDATED,this.onLevelPtsUpdated,this)}_unregisterListeners(){const{hls:t}=this;t.off(s.MEDIA_ATTACHING,this.onMediaAttaching,this),t.off(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.off(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.off(s.MANIFEST_LOADING,this.onManifestLoading,this),t.off(s.FRAG_PARSING_METADATA,this.onFragParsingMetadata,this),t.off(s.BUFFER_FLUSHING,this.onBufferFlushing,this),t.off(s.LEVEL_UPDATED,this.onLevelUpdated,this),t.off(s.LEVEL_PTS_UPDATED,this.onLevelPtsUpdated,this)}onMediaAttaching(t,n){var o;this.media=n.media,((o=n.overrides)==null?void 0:o.cueRemoval)===!1&&(this.removeCues=!1)}onMediaAttached(){const t=this.hls.latestLevelDetails;t&&this.updateDateRangeCues(t)}onMediaDetaching(t,n){this.media=null,!n.transferMedia&&(this.id3Track&&(this.removeCues&&Mu(this.id3Track,this.onEventCueEnter),this.id3Track=null),this.dateRangeCuesAppended={})}onManifestLoading(){this.dateRangeCuesAppended={}}createTrack(t){const n=this.getID3Track(t.textTracks);return n.mode="hidden",n}getID3Track(t){if(this.media){for(let n=0;nrf&&(ce=rf),ce-ae<=0&&(ce=ae+Mf);for(let Te=0;Te<$.length;Te++){const De=$[Te];if(!As(De)){this.updateId3CueEnds(ae,H);const tt=Ff(C,ae,ce,De,H);tt&&this.id3Track.addCue(tt)}}}}}updateId3CueEnds(t,n){var o;const m=(o=this.id3Track)==null?void 0:o.cues;if(m)for(let E=m.length;E--;){const C=m[E];C.type===n&&C.startTimeae.type===we.audioId3&&H:m==="video"?$=ae=>ae.type===we.emsg&&U:$=ae=>ae.type===we.audioId3&&H||ae.type===we.emsg&&U,Zo(E,n,o,$)}}onLevelUpdated(t,{details:n}){this.updateDateRangeCues(n,!0)}onLevelPtsUpdated(t,n){Math.abs(n.drift)>.01&&this.updateDateRangeCues(n.details)}updateDateRangeCues(t,n){if(!this.media||!t.hasProgramDateTime||!this.hls.config.enableDateRangeMetadataCues)return;const{id3Track:o}=this,{dateRanges:m}=t,E=Object.keys(m);let C=this.dateRangeCuesAppended;if(o&&n){var U;if((U=o.cues)!=null&&U.length){const ae=Object.keys(C).filter(ce=>!E.includes(ce));for(let ce=ae.length;ce--;){const xe=ae[ce],Te=C[xe].cues;delete C[xe],Object.keys(Te).forEach(De=>{try{const tt=Te[De];tt.removeEventListener("enter",this.onEventCueEnter),o.removeCue(tt)}catch(tt){}})}}else C=this.dateRangeCuesAppended={}}const H=t.fragments[t.fragments.length-1];if(E.length===0||!r(H==null?void 0:H.programDateTime))return;this.id3Track||(this.id3Track=this.createTrack(this.media));const $=Nc();for(let ae=0;ae{if(Vr!==xe.id){const on=m[Vr];if(on.class===xe.class&&on.startDate>xe.startDate&&(!fn||xe.startDate.01&&(Vr.startTime=Te,Vr.endTime=Bt);else if($){let on=xe.attr[fn];ja(fn)&&(on=vf(on));const Xr=Ff($,Te,Bt,{key:fn,data:on},we.dateRange);Xr&&(Xr.id=ce,this.id3Track.addCue(Xr),tt[fn]=Xr,this.hls.config.interstitialsController&&(fn==="X-ASSET-LIST"||fn==="X-ASSET-URL")&&Xr.addEventListener("enter",this.onEventCueEnter))}}C[ce]={cues:tt,dateRange:xe,durationKnown:at}}}}class Cf{constructor(t){this.hls=void 0,this.config=void 0,this.media=null,this.currentTime=0,this.stallCount=0,this._latency=null,this._targetLatencyUpdated=!1,this.onTimeupdate=()=>{const{media:n}=this,o=this.levelDetails;if(!n||!o)return;this.currentTime=n.currentTime;const m=this.computeLatency();if(m===null)return;this._latency=m;const{lowLatencyMode:E,maxLiveSyncPlaybackRate:C}=this.config;if(!E||C===1||!o.live)return;const U=this.targetLatency;if(U===null)return;const H=m-U,$=Math.min(this.maxLatency,U+o.targetduration);if(H<$&&H>.05&&this.forwardBufferLength>1){const ce=Math.min(2,Math.max(1,C)),xe=Math.round(2/(1+Math.exp(-.75*H-this.edgeStalled))*20)/20,Te=Math.min(ce,Math.max(1,xe));this.changeMediaPlaybackRate(n,Te)}else n.playbackRate!==1&&n.playbackRate!==0&&this.changeMediaPlaybackRate(n,1)},this.hls=t,this.config=t.config,this.registerListeners()}get levelDetails(){var t;return((t=this.hls)==null?void 0:t.latestLevelDetails)||null}get latency(){return this._latency||0}get maxLatency(){const{config:t}=this;if(t.liveMaxLatencyDuration!==void 0)return t.liveMaxLatencyDuration;const n=this.levelDetails;return n?t.liveMaxLatencyDurationCount*n.targetduration:0}get targetLatency(){const t=this.levelDetails;if(t===null||this.hls===null)return null;const{holdBack:n,partHoldBack:o,targetduration:m}=t,{liveSyncDuration:E,liveSyncDurationCount:C,lowLatencyMode:U}=this.config,H=this.hls.userConfig;let $=U&&o||n;(this._targetLatencyUpdated||H.liveSyncDuration||H.liveSyncDurationCount||$===0)&&($=E!==void 0?E:C*m);const ae=m;return $+Math.min(this.stallCount*this.config.liveSyncOnStallIncrease,ae)}set targetLatency(t){this.stallCount=0,this.config.liveSyncDuration=t,this._targetLatencyUpdated=!0}get liveSyncPosition(){const t=this.estimateLiveEdge(),n=this.targetLatency;if(t===null||n===null)return null;const o=this.levelDetails;if(o===null)return null;const m=o.edge,E=t-n-this.edgeStalled,C=m-o.totalduration,U=m-(this.config.lowLatencyMode&&o.partTarget||o.targetduration);return Math.min(Math.max(C,E),U)}get drift(){const t=this.levelDetails;return t===null?1:t.drift}get edgeStalled(){const t=this.levelDetails;if(t===null)return 0;const n=(this.config.lowLatencyMode&&t.partTarget||t.targetduration)*3;return Math.max(t.age-n,0)}get forwardBufferLength(){const{media:t}=this,n=this.levelDetails;if(!t||!n)return 0;const o=t.buffered.length;return(o?t.buffered.end(o-1):n.edge)-this.currentTime}destroy(){this.unregisterListeners(),this.onMediaDetaching(),this.hls=null}registerListeners(){const{hls:t}=this;t&&(t.on(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.on(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.on(s.MANIFEST_LOADING,this.onManifestLoading,this),t.on(s.LEVEL_UPDATED,this.onLevelUpdated,this),t.on(s.ERROR,this.onError,this))}unregisterListeners(){const{hls:t}=this;t&&(t.off(s.MEDIA_ATTACHED,this.onMediaAttached,this),t.off(s.MEDIA_DETACHING,this.onMediaDetaching,this),t.off(s.MANIFEST_LOADING,this.onManifestLoading,this),t.off(s.LEVEL_UPDATED,this.onLevelUpdated,this),t.off(s.ERROR,this.onError,this))}onMediaAttached(t,n){this.media=n.media,this.media.addEventListener("timeupdate",this.onTimeupdate)}onMediaDetaching(){this.media&&(this.media.removeEventListener("timeupdate",this.onTimeupdate),this.media=null)}onManifestLoading(){this._latency=null,this.stallCount=0}onLevelUpdated(t,{details:n}){n.advanced&&this.onTimeupdate(),!n.live&&this.media&&this.media.removeEventListener("timeupdate",this.onTimeupdate)}onError(t,n){var o;n.details===f.BUFFER_STALLED_ERROR&&(this.stallCount++,this.hls&&(o=this.levelDetails)!=null&&o.live&&this.hls.logger.warn("[latency-controller]: Stall detected, adjusting target latency"))}changeMediaPlaybackRate(t,n){var o,m;t.playbackRate!==n&&((o=this.hls)==null||o.logger.debug(`[latency-controller]: latency=${this.latency.toFixed(3)}, targetLatency=${(m=this.targetLatency)==null?void 0:m.toFixed(3)}, forwardBufferLength=${this.forwardBufferLength.toFixed(3)}: adjusting playback rate from ${t.playbackRate} to ${n}`),t.playbackRate=n)}estimateLiveEdge(){const t=this.levelDetails;return t===null?null:t.edge+t.age}computeLatency(){const t=this.estimateLiveEdge();return t===null?null:t-this.currentTime}}class Bf extends lu{constructor(t,n){super(t,"level-controller"),this._levels=[],this._firstLevel=-1,this._maxAutoLevel=-1,this._startLevel=void 0,this.currentLevel=null,this.currentLevelIndex=-1,this.manualLevelIndex=-1,this.steering=void 0,this.onParsedComplete=void 0,this.steering=n,this._registerListeners()}_registerListeners(){const{hls:t}=this;t.on(s.MANIFEST_LOADING,this.onManifestLoading,this),t.on(s.MANIFEST_LOADED,this.onManifestLoaded,this),t.on(s.LEVEL_LOADED,this.onLevelLoaded,this),t.on(s.LEVELS_UPDATED,this.onLevelsUpdated,this),t.on(s.FRAG_BUFFERED,this.onFragBuffered,this),t.on(s.ERROR,this.onError,this)}_unregisterListeners(){const{hls:t}=this;t.off(s.MANIFEST_LOADING,this.onManifestLoading,this),t.off(s.MANIFEST_LOADED,this.onManifestLoaded,this),t.off(s.LEVEL_LOADED,this.onLevelLoaded,this),t.off(s.LEVELS_UPDATED,this.onLevelsUpdated,this),t.off(s.FRAG_BUFFERED,this.onFragBuffered,this),t.off(s.ERROR,this.onError,this)}destroy(){this._unregisterListeners(),this.steering=null,this.resetLevels(),super.destroy()}stopLoad(){this._levels.forEach(n=>{n.loadError=0,n.fragmentError=0}),super.stopLoad()}resetLevels(){this._startLevel=void 0,this.manualLevelIndex=-1,this.currentLevelIndex=-1,this.currentLevel=null,this._levels=[],this._maxAutoLevel=-1}onManifestLoading(t,n){this.resetLevels()}onManifestLoaded(t,n){const o=this.hls.config.preferManagedMediaSource,m=[],E={},C={};let U=!1,H=!1,$=!1;n.levels.forEach(ae=>{var ce;const xe=ae.attrs;let{audioCodec:Te,videoCodec:De}=ae;Te&&(ae.audioCodec=Te=At(Te,o)||void 0),((ce=De)==null?void 0:ce.indexOf("avc1"))===0&&(De=ae.videoCodec=Ar(De));const{width:tt,height:at,unknownCodecs:Bt}=ae;let dr=Bt?Bt.length:0;if(Bt)for(let Yn=dr;Yn--;){const di=Bt[Yn];this.isAudioSupported(di)?(ae.audioCodec=Te=Te?`${Te},${di}`:di,dr--,zt.audio[Te.substring(0,4)]=2):this.isVideoSupported(di)&&(ae.videoCodec=De=De?`${De},${di}`:di,dr--,zt.video[De.substring(0,4)]=2)}if(U||(U=!!(tt&&at)),H||(H=!!De),$||($=!!Te),dr||Te&&!this.isAudioSupported(Te)||De&&!this.isVideoSupported(De)){this.log(`Some or all CODECS not supported "${xe.CODECS}"`);return}const{CODECS:ar,"FRAME-RATE":Zr,"HDCP-LEVEL":Gr,"PATHWAY-ID":fn,RESOLUTION:Vr,"VIDEO-RANGE":on}=xe,Xr=`${`${fn||"."}-`}${ae.bitrate}-${Vr}-${Zr}-${ar}-${on}-${Gr}`;if(E[Xr])if(E[Xr].uri!==ae.url&&!ae.attrs["PATHWAY-ID"]){const Yn=C[Xr]+=1;ae.attrs["PATHWAY-ID"]=new Array(Yn+1).join(".");const di=this.createLevel(ae);E[Xr]=di,m.push(di)}else E[Xr].addGroupId("audio",xe.AUDIO),E[Xr].addGroupId("text",xe.SUBTITLES);else{const Yn=this.createLevel(ae);E[Xr]=Yn,C[Xr]=1,m.push(Yn)}}),this.filterAndSortMediaOptions(m,n,U,H,$)}createLevel(t){const n=new mr(t),o=t.supplemental;if(o!=null&&o.videoCodec&&!this.isVideoSupported(o.videoCodec)){const m=new Error(`SUPPLEMENTAL-CODECS not supported "${o.videoCodec}"`);this.log(m.message),n.supportedResult=cn(m,[])}return n}isAudioSupported(t){return Oe(t,"audio",this.hls.config.preferManagedMediaSource)}isVideoSupported(t){return Oe(t,"video",this.hls.config.preferManagedMediaSource)}filterAndSortMediaOptions(t,n,o,m,E){let C=[],U=[],H=t;if((o||m)&&E&&(H=H.filter(({videoCodec:at,videoRange:Bt,width:dr,height:ar})=>(!!at||!!(dr&&ar))&&ot(Bt))),H.length===0){Promise.resolve().then(()=>{if(this.hls){let at="no level with compatible codecs found in manifest",Bt=at;n.levels.length&&(Bt=`one or more CODECS in variant not supported: ${jn(n.levels.map(ar=>ar.attrs.CODECS).filter((ar,Zr,Gr)=>Gr.indexOf(ar)===Zr))}`,this.warn(Bt),at+=` (${Bt})`);const dr=new Error(at);this.hls.trigger(s.ERROR,{type:c.MEDIA_ERROR,details:f.MANIFEST_INCOMPATIBLE_CODECS_ERROR,fatal:!0,url:n.url,error:dr,reason:Bt})}});return}n.audioTracks&&(C=n.audioTracks.filter(at=>!at.audioCodec||this.isAudioSupported(at.audioCodec)),Nf(C)),n.subtitles&&(U=n.subtitles,Nf(U));const $=H.slice(0);H.sort((at,Bt)=>{if(at.attrs["HDCP-LEVEL"]!==Bt.attrs["HDCP-LEVEL"])return(at.attrs["HDCP-LEVEL"]||"")>(Bt.attrs["HDCP-LEVEL"]||"")?1:-1;if(o&&at.height!==Bt.height)return at.height-Bt.height;if(at.frameRate!==Bt.frameRate)return at.frameRate-Bt.frameRate;if(at.videoRange!==Bt.videoRange)return gr.indexOf(at.videoRange)-gr.indexOf(Bt.videoRange);if(at.videoCodec!==Bt.videoCodec){const dr=Ke(at.videoCodec),ar=Ke(Bt.videoCodec);if(dr!==ar)return ar-dr}if(at.uri===Bt.uri&&at.codecSet!==Bt.codecSet){const dr=vt(at.codecSet),ar=vt(Bt.codecSet);if(dr!==ar)return ar-dr}return at.averageBitrate!==Bt.averageBitrate?at.averageBitrate-Bt.averageBitrate:0});let ae=$[0];if(this.steering&&(H=this.steering.filterParsedLevels(H),H.length!==$.length)){for(let at=0;at<$.length;at++)if($[at].pathwayId===H[0].pathwayId){ae=$[at];break}}this._levels=H;for(let at=0;atdr&&dr===this.hls.abrEwmaDefaultEstimate&&(this.hls.bandwidthEstimate=ar)}break}const xe=E&&!m,Te=this.hls.config,De=!!(Te.audioStreamController&&Te.audioTrackController),tt={levels:H,audioTracks:C,subtitleTracks:U,sessionData:n.sessionData,sessionKeys:n.sessionKeys,firstLevel:this._firstLevel,stats:n.stats,audio:E,video:m,altAudio:De&&!xe&&C.some(at=>!!at.url)};this.hls.trigger(s.MANIFEST_PARSED,tt)}get levels(){return this._levels.length===0?null:this._levels}get loadLevelObj(){return this.currentLevel}get level(){return this.currentLevelIndex}set level(t){const n=this._levels;if(n.length===0)return;if(t<0||t>=n.length){const ae=new Error("invalid level idx"),ce=t<0;if(this.hls.trigger(s.ERROR,{type:c.OTHER_ERROR,details:f.LEVEL_SWITCH_ERROR,level:t,fatal:ce,error:ae,reason:ae.message}),ce)return;t=Math.min(t,n.length-1)}const o=this.currentLevelIndex,m=this.currentLevel,E=m?m.attrs["PATHWAY-ID"]:void 0,C=n[t],U=C.attrs["PATHWAY-ID"];if(this.currentLevelIndex=t,this.currentLevel=C,o===t&&m&&E===U)return;this.log(`Switching to level ${t} (${C.height?C.height+"p ":""}${C.videoRange?C.videoRange+" ":""}${C.codecSet?C.codecSet+" ":""}@${C.bitrate})${U?" with Pathway "+U:""} from level ${o}${E?" with Pathway "+E:""}`);const H={level:t,attrs:C.attrs,details:C.details,bitrate:C.bitrate,averageBitrate:C.averageBitrate,maxBitrate:C.maxBitrate,realBitrate:C.realBitrate,width:C.width,height:C.height,codecSet:C.codecSet,audioCodec:C.audioCodec,videoCodec:C.videoCodec,audioGroups:C.audioGroups,subtitleGroups:C.subtitleGroups,loaded:C.loaded,loadError:C.loadError,fragmentError:C.fragmentError,name:C.name,id:C.id,uri:C.uri,url:C.url,urlId:0,audioGroupIds:C.audioGroupIds,textGroupIds:C.textGroupIds};this.hls.trigger(s.LEVEL_SWITCHING,H);const $=C.details;if(!$||$.live){const ae=this.switchParams(C.uri,m==null?void 0:m.details,$);this.loadPlaylist(ae)}}get manualLevel(){return this.manualLevelIndex}set manualLevel(t){this.manualLevelIndex=t,this._startLevel===void 0&&(this._startLevel=t),t!==-1&&(this.level=t)}get firstLevel(){return this._firstLevel}set firstLevel(t){this._firstLevel=t}get startLevel(){if(this._startLevel===void 0){const t=this.hls.config.startLevel;return t!==void 0?t:this.hls.firstAutoLevel}return this._startLevel}set startLevel(t){this._startLevel=t}get pathways(){return this.steering?this.steering.pathways():[]}get pathwayPriority(){return this.steering?this.steering.pathwayPriority:null}set pathwayPriority(t){if(this.steering){const n=this.steering.pathways(),o=t.filter(m=>n.indexOf(m)!==-1);if(t.length<1){this.warn(`pathwayPriority ${t} should contain at least one pathway from list: ${n}`);return}this.steering.pathwayPriority=o}}onError(t,n){n.fatal||!n.context||n.context.type===h.LEVEL&&n.context.level===this.level&&this.checkRetry(n)}onFragBuffered(t,{frag:n}){if(n!==void 0&&n.type===u.MAIN){const o=n.elementaryStreams;if(!Object.keys(o).some(E=>!!o[E]))return;const m=this._levels[n.level];m!=null&&m.loadError&&(this.log(`Resetting level error count of ${m.loadError} on frag buffered`),m.loadError=0)}}onLevelLoaded(t,n){var o;const{level:m,details:E}=n,C=n.levelInfo;if(!C){var U;this.warn(`Invalid level index ${m}`),(U=n.deliveryDirectives)!=null&&U.skip&&(E.deltaUpdateFailed=!0);return}if(C===this.currentLevel||n.withoutMultiVariant){C.fragmentError===0&&(C.loadError=0);let H=C.details;H===n.details&&H.advanced&&(H=void 0),this.playlistLoaded(m,n,H)}else(o=n.deliveryDirectives)!=null&&o.skip&&(E.deltaUpdateFailed=!0)}loadPlaylist(t){super.loadPlaylist(),this.shouldLoadPlaylist(this.currentLevel)&&this.scheduleLoading(this.currentLevel,t)}loadingPlaylist(t,n){super.loadingPlaylist(t,n);const o=this.getUrlWithDirectives(t.uri,n),m=this.currentLevelIndex,E=t.attrs["PATHWAY-ID"],C=t.details,U=C==null?void 0:C.age;this.log(`Loading level index ${m}${(n==null?void 0:n.msn)!==void 0?" at sn "+n.msn+" part "+n.part:""}${E?" Pathway "+E:""}${U&&C.live?" age "+U.toFixed(1)+(C.type?" "+C.type||0:""):""} ${o}`),this.hls.trigger(s.LEVEL_LOADING,{url:o,level:m,levelInfo:t,pathwayId:t.attrs["PATHWAY-ID"],id:0,deliveryDirectives:n||null})}get nextLoadLevel(){return this.manualLevelIndex!==-1?this.manualLevelIndex:this.hls.nextAutoLevel}set nextLoadLevel(t){this.level=t,this.manualLevelIndex===-1&&(this.hls.nextAutoLevel=t)}removeLevel(t){var n;if(this._levels.length===1)return;const o=this._levels.filter((E,C)=>C!==t?!0:(this.steering&&this.steering.removeLevel(E),E===this.currentLevel&&(this.currentLevel=null,this.currentLevelIndex=-1,E.details&&E.details.fragments.forEach(U=>U.level=-1)),!1));Hn(o),this._levels=o,this.currentLevelIndex>-1&&(n=this.currentLevel)!=null&&n.details&&(this.currentLevelIndex=this.currentLevel.details.fragments[0].level),this.manualLevelIndex>-1&&(this.manualLevelIndex=this.currentLevelIndex);const m=o.length-1;this._firstLevel=Math.min(this._firstLevel,m),this._startLevel&&(this._startLevel=Math.min(this._startLevel,m)),this.hls.trigger(s.LEVELS_UPDATED,{levels:o})}onLevelsUpdated(t,{levels:n}){this._levels=n}checkMaxAutoUpdated(){const{autoLevelCapping:t,maxAutoLevel:n,maxHdcpLevel:o}=this.hls;this._maxAutoLevel!==n&&(this._maxAutoLevel=n,this.hls.trigger(s.MAX_AUTO_LEVEL_UPDATED,{autoLevelCapping:t,levels:this.levels,maxAutoLevel:n,minAutoLevel:this.hls.minAutoLevel,maxHdcpLevel:o}))}}function Nf(P){const t={};P.forEach(n=>{const o=n.groupId||"";n.id=t[o]=t[o]||0,t[o]++})}function nf(){return self.SourceBuffer||self.WebKitSourceBuffer}function $f(){if(!oe())return!1;const t=nf();return!t||t.prototype&&typeof t.prototype.appendBuffer=="function"&&typeof t.prototype.remove=="function"}function Tf(){if(!$f())return!1;const P=oe();return typeof(P==null?void 0:P.isTypeSupported)=="function"&&(["avc1.42E01E,mp4a.40.2","av01.0.01M.08","vp09.00.50.08"].some(t=>P.isTypeSupported(be(t,"video")))||["mp4a.40.2","fLaC"].some(t=>P.isTypeSupported(be(t,"audio"))))}function v(){var P;const t=nf();return typeof(t==null||(P=t.prototype)==null?void 0:P.changeType)=="function"}const A=100;class Z extends na{constructor(t,n,o){super(t,n,o,"stream-controller",u.MAIN),this.audioCodecSwap=!1,this.level=-1,this._forceStartLoad=!1,this._hasEnoughToStart=!1,this.altAudio=0,this.audioOnly=!1,this.fragPlaying=null,this.fragLastKbps=0,this.couldBacktrack=!1,this.backtrackFragment=null,this.audioCodecSwitch=!1,this.videoBuffer=null,this.onMediaPlaying=()=>{this.tick()},this.onMediaSeeked=()=>{const m=this.media,E=m?m.currentTime:null;if(E===null||!r(E)||(this.log(`Media seeked to ${E.toFixed(3)}`),!this.getBufferedFrag(E)))return;const C=this.getFwdBufferInfoAtPos(m,E,u.MAIN,0);if(C===null||C.len===0){this.warn(`Main forward buffer length at ${E} on "seeked" event ${C?C.len:"empty"})`);return}this.tick()},this.registerListeners()}registerListeners(){super.registerListeners();const{hls:t}=this;t.on(s.MANIFEST_PARSED,this.onManifestParsed,this),t.on(s.LEVEL_LOADING,this.onLevelLoading,this),t.on(s.LEVEL_LOADED,this.onLevelLoaded,this),t.on(s.FRAG_LOAD_EMERGENCY_ABORTED,this.onFragLoadEmergencyAborted,this),t.on(s.AUDIO_TRACK_SWITCHING,this.onAudioTrackSwitching,this),t.on(s.AUDIO_TRACK_SWITCHED,this.onAudioTrackSwitched,this),t.on(s.BUFFER_CREATED,this.onBufferCreated,this),t.on(s.BUFFER_FLUSHED,this.onBufferFlushed,this),t.on(s.LEVELS_UPDATED,this.onLevelsUpdated,this),t.on(s.FRAG_BUFFERED,this.onFragBuffered,this)}unregisterListeners(){super.unregisterListeners();const{hls:t}=this;t.off(s.MANIFEST_PARSED,this.onManifestParsed,this),t.off(s.LEVEL_LOADED,this.onLevelLoaded,this),t.off(s.FRAG_LOAD_EMERGENCY_ABORTED,this.onFragLoadEmergencyAborted,this),t.off(s.AUDIO_TRACK_SWITCHING,this.onAudioTrackSwitching,this),t.off(s.AUDIO_TRACK_SWITCHED,this.onAudioTrackSwitched,this),t.off(s.BUFFER_CREATED,this.onBufferCreated,this),t.off(s.BUFFER_FLUSHED,this.onBufferFlushed,this),t.off(s.LEVELS_UPDATED,this.onLevelsUpdated,this),t.off(s.FRAG_BUFFERED,this.onFragBuffered,this)}onHandlerDestroying(){this.onMediaPlaying=this.onMediaSeeked=null,this.unregisterListeners(),super.onHandlerDestroying()}startLoad(t,n){if(this.levels){const{lastCurrentTime:o,hls:m}=this;if(this.stopLoad(),this.setInterval(A),this.level=-1,!this.startFragRequested){let E=m.startLevel;E===-1&&(m.config.testBandwidth&&this.levels.length>1?(E=0,this.bitrateTest=!0):E=m.firstAutoLevel),m.nextLoadLevel=E,this.level=m.loadLevel,this._hasEnoughToStart=!!n}o>0&&t===-1&&!n&&(this.log(`Override startPosition with lastCurrentTime @${o.toFixed(3)}`),t=o),this.state=zr.IDLE,this.nextLoadPosition=this.lastCurrentTime=t+this.timelineOffset,this.startPosition=n?-1:t,this.tick()}else this._forceStartLoad=!0,this.state=zr.STOPPED}stopLoad(){this._forceStartLoad=!1,super.stopLoad()}doTick(){switch(this.state){case zr.WAITING_LEVEL:{const{levels:n,level:o}=this,m=n==null?void 0:n[o],E=m==null?void 0:m.details;if(E&&(!E.live||this.levelLastLoaded===m&&!this.waitForLive(m))){if(this.waitForCdnTuneIn(E))break;this.state=zr.IDLE;break}else if(this.hls.nextLoadLevel!==this.level){this.state=zr.IDLE;break}break}case zr.FRAG_LOADING_WAITING_RETRY:{var t;const n=self.performance.now(),o=this.retryDate;if(!o||n>=o||(t=this.media)!=null&&t.seeking){const{levels:m,level:E}=this,C=m==null?void 0:m[E];this.resetStartWhenNotLoaded(C||null),this.state=zr.IDLE}}break}this.state===zr.IDLE&&this.doTickIdle(),this.onTickEnd()}onTickEnd(){var t;super.onTickEnd(),(t=this.media)!=null&&t.readyState&&this.media.seeking===!1&&(this.lastCurrentTime=this.media.currentTime),this.checkFragmentChanged()}doTickIdle(){const{hls:t,levelLastLoaded:n,levels:o,media:m}=this;if(n===null||!m&&!this.primaryPrefetch&&(this.startFragRequested||!t.config.startFragPrefetch)||this.altAudio&&this.audioOnly)return;const E=this.buffering?t.nextLoadLevel:t.loadLevel;if(!(o!=null&&o[E]))return;const C=o[E],U=this.getMainFwdBufferInfo();if(U===null)return;const H=this.getLevelDetails();if(H&&this._streamEnded(U,H)){const tt={};this.altAudio===2&&(tt.type="video"),this.hls.trigger(s.BUFFER_EOS,tt),this.state=zr.ENDED;return}if(!this.buffering)return;t.loadLevel!==E&&t.manualLevel===-1&&this.log(`Adapting to level ${E} from level ${this.level}`),this.level=t.nextLoadLevel=E;const $=C.details;if(!$||this.state===zr.WAITING_LEVEL||this.waitForLive(C)){this.level=E,this.state=zr.WAITING_LEVEL,this.startFragRequested=!1;return}const ae=U.len,ce=this.getMaxBufferLength(C.maxBitrate);if(ae>=ce)return;this.backtrackFragment&&this.backtrackFragment.start>U.end&&(this.backtrackFragment=null);const xe=this.backtrackFragment?this.backtrackFragment.start:U.end;let Te=this.getNextFragment(xe,$);if(this.couldBacktrack&&!this.fragPrevious&&Te&&_e(Te)&&this.fragmentTracker.getState(Te)!==Er.OK){var De;const at=((De=this.backtrackFragment)!=null?De:Te).sn-$.startSN,Bt=$.fragments[at-1];Bt&&Te.cc===Bt.cc&&(Te=Bt,this.fragmentTracker.removeFragment(Bt))}else this.backtrackFragment&&U.len&&(this.backtrackFragment=null);if(Te&&this.isLoopLoading(Te,xe)){if(!Te.gap){const at=this.audioOnly&&!this.altAudio?F.AUDIO:F.VIDEO,Bt=(at===F.VIDEO?this.videoBuffer:this.mediaBuffer)||this.media;Bt&&this.afterBufferFlushed(Bt,at,u.MAIN)}Te=this.getNextFragmentLoopLoading(Te,$,U,u.MAIN,ce)}Te&&(Te.initSegment&&!Te.initSegment.data&&!this.bitrateTest&&(Te=Te.initSegment),this.loadFragment(Te,C,xe))}loadFragment(t,n,o){const m=this.fragmentTracker.getState(t);m===Er.NOT_LOADED||m===Er.PARTIAL?_e(t)?this.bitrateTest?(this.log(`Fragment ${t.sn} of level ${t.level} is being downloaded to test bitrate and will not be buffered`),this._loadBitrateTestFrag(t,n)):super.loadFragment(t,n,o):this._loadInitSegment(t,n):this.clearTrackerIfNeeded(t)}getBufferedFrag(t){return this.fragmentTracker.getBufferedFrag(t,u.MAIN)}followingBufferedFrag(t){return t?this.getBufferedFrag(t.end+.5):null}immediateLevelSwitch(){this.abortCurrentFrag(),this.flushMainBuffer(0,Number.POSITIVE_INFINITY)}nextLevelSwitch(){const{levels:t,media:n}=this;if(n!=null&&n.readyState){let o;const m=this.getAppendedFrag(n.currentTime);m&&m.start>1&&this.flushMainBuffer(0,m.start-1);const E=this.getLevelDetails();if(E!=null&&E.live){const U=this.getMainFwdBufferInfo();if(!U||U.len{const C=E.audioCodec;C&&(o=o||C.indexOf("mp4a.40.2")!==-1,m=m||C.indexOf("mp4a.40.5")!==-1)}),this.audioCodecSwitch=o&&m&&!v(),this.audioCodecSwitch&&this.log("Both AAC/HE-AAC audio found in levels; declaring level codec as HE-AAC"),this.levels=n.levels,this.startFragRequested=!1}onLevelLoading(t,n){const{levels:o}=this;if(!o||this.state!==zr.IDLE)return;const m=n.levelInfo;(!m.details||m.details.live&&(this.levelLastLoaded!==m||m.details.expired)||this.waitForCdnTuneIn(m.details))&&(this.state=zr.WAITING_LEVEL)}onLevelLoaded(t,n){var o;const{levels:m,startFragRequested:E}=this,C=n.level,U=n.details,H=U.totalduration;if(!m){this.warn(`Levels were reset while loading level ${C}`);return}this.log(`Level ${C} loaded [${U.startSN},${U.endSN}]${U.lastPartSn?`[part-${U.lastPartSn}-${U.lastPartIndex}]`:""}, cc [${U.startCC}, ${U.endCC}] duration:${H}`);const $=n.levelInfo,ae=this.fragCurrent;ae&&(this.state===zr.FRAG_LOADING||this.state===zr.FRAG_LOADING_WAITING_RETRY)&&ae.level!==n.level&&ae.loader&&this.abortCurrentFrag();let ce=0;if(U.live||(o=$.details)!=null&&o.live){var xe;if(this.checkLiveUpdate(U),U.deltaUpdateFailed)return;ce=this.alignPlaylists(U,$.details,(xe=this.levelLastLoaded)==null?void 0:xe.details)}if($.details=U,this.levelLastLoaded=$,E||this.setStartPosition(U,ce),this.hls.trigger(s.LEVEL_UPDATED,{details:U,level:C}),this.state===zr.WAITING_LEVEL){if(this.waitForCdnTuneIn(U))return;this.state=zr.IDLE}E&&U.live&&this.synchronizeToLiveEdge(U),this.tick()}synchronizeToLiveEdge(t){const{config:n,media:o}=this;if(!o)return;const m=this.hls.liveSyncPosition,E=this.getLoadPosition(),C=t.fragmentStart,U=t.edge,H=E>=C-n.maxFragLookUpTolerance&&E<=U;if(m!==null&&o.duration>m&&(E{var C;(C=this.hls)==null||C.trigger(s.AUDIO_TRACK_SWITCHED,n)}),o.trigger(s.BUFFER_FLUSHING,{startOffset:0,endOffset:Number.POSITIVE_INFINITY,type:null});return}o.trigger(s.AUDIO_TRACK_SWITCHED,n)}}onAudioTrackSwitched(t,n){const o=ei(n.url,this.hls);if(o){const m=this.videoBuffer;m&&this.mediaBuffer!==m&&(this.log("Switching on alternate audio, use video.buffered to schedule main fragment loading"),this.mediaBuffer=m)}this.altAudio=o?2:0,this.tick()}onBufferCreated(t,n){const o=n.tracks;let m,E,C=!1;for(const U in o){const H=o[U];if(H.id==="main"){if(E=U,m=H,U==="video"){const $=o[U];$&&(this.videoBuffer=$.buffer)}}else C=!0}C&&m?(this.log(`Alternate track found, use ${E}.buffered to schedule main fragment loading`),this.mediaBuffer=m.buffer):this.mediaBuffer=this.media}onFragBuffered(t,n){const{frag:o,part:m}=n,E=o.type===u.MAIN;if(E){if(this.fragContextChanged(o)){this.warn(`Fragment ${o.sn}${m?" p: "+m.index:""} of level ${o.level} finished buffering, but was aborted. state: ${this.state}`),this.state===zr.PARSED&&(this.state=zr.IDLE);return}const U=m?m.stats:o.stats;this.fragLastKbps=Math.round(8*U.total/(U.buffering.end-U.loading.first)),_e(o)&&(this.fragPrevious=o),this.fragBufferedComplete(o,m)}const C=this.media;C&&(!this._hasEnoughToStart&&yi.getBuffered(C).length&&(this._hasEnoughToStart=!0,this.seekToStartPos()),E&&this.tick())}get hasEnoughToStart(){return this._hasEnoughToStart}onError(t,n){var o;if(n.fatal){this.state=zr.ERROR;return}switch(n.details){case f.FRAG_GAP:case f.FRAG_PARSING_ERROR:case f.FRAG_DECRYPT_ERROR:case f.FRAG_LOAD_ERROR:case f.FRAG_LOAD_TIMEOUT:case f.KEY_LOAD_ERROR:case f.KEY_LOAD_TIMEOUT:this.onFragmentOrKeyLoadError(u.MAIN,n);break;case f.LEVEL_LOAD_ERROR:case f.LEVEL_LOAD_TIMEOUT:case f.LEVEL_PARSING_ERROR:!n.levelRetry&&this.state===zr.WAITING_LEVEL&&((o=n.context)==null?void 0:o.type)===h.LEVEL&&(this.state=zr.IDLE);break;case f.BUFFER_ADD_CODEC_ERROR:case f.BUFFER_APPEND_ERROR:if(n.parent!=="main")return;this.resetLoadingState();break;case f.BUFFER_FULL_ERROR:if(n.parent!=="main")return;this.reduceLengthAndFlushBuffer(n)&&this.flushMainBuffer(0,Number.POSITIVE_INFINITY);break;case f.INTERNAL_EXCEPTION:this.recoverWorkerError(n);break}}onFragLoadEmergencyAborted(){this.state=zr.IDLE,this._hasEnoughToStart||(this.startFragRequested=!1,this.nextLoadPosition=this.lastCurrentTime),this.tickImmediate()}onBufferFlushed(t,{type:n}){if(n!==F.AUDIO||!this.altAudio){const o=(n===F.VIDEO?this.videoBuffer:this.mediaBuffer)||this.media;o&&(this.afterBufferFlushed(o,n,u.MAIN),this.tick())}}onLevelsUpdated(t,n){this.level>-1&&this.fragCurrent&&(this.level=this.fragCurrent.level,this.level===-1&&this.resetWhenMissingContext(this.fragCurrent)),this.levels=n.levels}swapAudioCodec(){this.audioCodecSwap=!this.audioCodecSwap}seekToStartPos(){const{media:t}=this;if(!t)return;const n=t.currentTime;let o=this.startPosition;if(o>=0&&n0&&(H<$||this.loadingParts&&H<2*((E==null?void 0:E.partTarget)||0))&&(this.log(`adjusting start position by ${H} to match buffer start`),o+=H,this.startPosition=o),n{const{hls:m}=this,E=o==null?void 0:o.frag;if(!E||this.fragContextChanged(E))return;n.fragmentError=0,this.state=zr.IDLE,this.startFragRequested=!1,this.bitrateTest=!1;const C=E.stats;C.parsing.start=C.parsing.end=C.buffering.start=C.buffering.end=self.performance.now(),m.trigger(s.FRAG_LOADED,o),E.bitrateTest=!1})}_handleTransmuxComplete(t){var n;const o=this.playlistType,{hls:m}=this,{remuxResult:E,chunkMeta:C}=t,U=this.getCurrentContext(C);if(!U){this.resetWhenMissingContext(C);return}const{frag:H,part:$,level:ae}=U,{video:ce,text:xe,id3:Te,initSegment:De}=E,{details:tt}=ae,at=this.altAudio?void 0:E.audio;if(this.fragContextChanged(H)){this.fragmentTracker.removeFragment(H);return}if(this.state=zr.PARSING,De){if(De!=null&&De.tracks){const ar=H.initSegment||H;this._bufferInitSegment(ae,De.tracks,ar,C),m.trigger(s.FRAG_PARSING_INIT_SEGMENT,{frag:ar,id:o,tracks:De.tracks})}const Bt=De.initPTS,dr=De.timescale;r(Bt)&&(this.initPTS[H.cc]={baseTime:Bt,timescale:dr},m.trigger(s.INIT_PTS_FOUND,{frag:H,id:o,initPTS:Bt,timescale:dr}))}if(ce&&tt){at&&ce.type==="audiovideo"&&this.logMuxedErr(H);const Bt=tt.fragments[H.sn-1-tt.startSN],dr=H.sn===tt.startSN,ar=!Bt||H.cc>Bt.cc;if(E.independent!==!1){const{startPTS:Zr,endPTS:Gr,startDTS:fn,endDTS:Vr}=ce;if($)$.elementaryStreams[ce.type]={startPTS:Zr,endPTS:Gr,startDTS:fn,endDTS:Vr};else if(ce.firstKeyFrame&&ce.independent&&C.id===1&&!ar&&(this.couldBacktrack=!0),ce.dropped&&ce.independent){const on=this.getMainFwdBufferInfo(),_n=(on?on.end:this.getLoadPosition())+this.config.maxBufferHole,Xr=ce.firstKeyFramePTS?ce.firstKeyFramePTS:Zr;if(!dr&&_nEc&&(H.gap=!0);H.setElementaryStreamInfo(ce.type,Zr,Gr,fn,Vr),this.backtrackFragment&&(this.backtrackFragment=H),this.bufferFragmentData(ce,H,$,C,dr||ar)}else if(dr||ar)H.gap=!0;else{this.backtrack(H);return}}if(at){const{startPTS:Bt,endPTS:dr,startDTS:ar,endDTS:Zr}=at;$&&($.elementaryStreams[F.AUDIO]={startPTS:Bt,endPTS:dr,startDTS:ar,endDTS:Zr}),H.setElementaryStreamInfo(F.AUDIO,Bt,dr,ar,Zr),this.bufferFragmentData(at,H,$,C)}if(tt&&Te!=null&&(n=Te.samples)!=null&&n.length){const Bt={id:o,frag:H,details:tt,samples:Te.samples};m.trigger(s.FRAG_PARSING_METADATA,Bt)}if(tt&&xe){const Bt={id:o,frag:H,details:tt,samples:xe.samples};m.trigger(s.FRAG_PARSING_USERDATA,Bt)}}logMuxedErr(t){this.warn(`${_e(t)?"Media":"Init"} segment with muxed audiovideo where only video expected: ${t.url}`)}_bufferInitSegment(t,n,o,m){if(this.state!==zr.PARSING)return;this.audioOnly=!!n.audio&&!n.video,this.altAudio&&!this.audioOnly&&(delete n.audio,n.audiovideo&&this.logMuxedErr(o));const{audio:E,video:C,audiovideo:U}=n;if(E){let $=qr(E.codec,t.audioCodec);$==="mp4a"&&($="mp4a.40.5");const ae=navigator.userAgent.toLowerCase();if(this.audioCodecSwitch){$&&($.indexOf("mp4a.40.5")!==-1?$="mp4a.40.2":$="mp4a.40.5");const ce=E.metadata;ce&&"channelCount"in ce&&(ce.channelCount||1)!==1&&ae.indexOf("firefox")===-1&&($="mp4a.40.5")}$&&$.indexOf("mp4a.40.5")!==-1&&ae.indexOf("android")!==-1&&E.container!=="audio/mpeg"&&($="mp4a.40.2",this.log(`Android: force audio codec to ${$}`)),t.audioCodec&&t.audioCodec!==$&&this.log(`Swapping manifest audio codec "${t.audioCodec}" for "${$}"`),E.levelCodec=$,E.id=u.MAIN,this.log(`Init audio buffer, container:${E.container}, codecs[selected/level/parsed]=[${$||""}/${t.audioCodec||""}/${E.codec}]`),delete n.audiovideo}if(C){C.levelCodec=t.videoCodec,C.id=u.MAIN;const $=C.codec;if(($==null?void 0:$.length)===4)switch($){case"hvc1":case"hev1":C.codec="hvc1.1.6.L120.90";break;case"av01":C.codec="av01.0.04M.08";break;case"avc1":C.codec="avc1.42e01e";break}this.log(`Init video buffer, container:${C.container}, codecs[level/parsed]=[${t.videoCodec||""}/${$}]${C.codec!==$?" parsed-corrected="+C.codec:""}${C.supplemental?" supplemental="+C.supplemental:""}`),delete n.audiovideo}U&&(this.log(`Init audiovideo buffer, container:${U.container}, codecs[level/parsed]=[${t.codecs}/${U.codec}]`),delete n.video,delete n.audio);const H=Object.keys(n);if(H.length){if(this.hls.trigger(s.BUFFER_CODECS,n),!this.hls)return;H.forEach($=>{const ce=n[$].initSegment;ce!=null&&ce.byteLength&&this.hls.trigger(s.BUFFER_APPENDING,{type:$,data:ce,frag:o,part:null,chunkMeta:m,parent:o.type})})}this.tickImmediate()}getMainFwdBufferInfo(){const t=this.mediaBuffer&&this.altAudio===2?this.mediaBuffer:this.media;return this.getFwdBufferInfo(t,u.MAIN)}get maxBufferLength(){const{levels:t,level:n}=this,o=t==null?void 0:t[n];return o?this.getMaxBufferLength(o.maxBitrate):this.config.maxBufferLength}backtrack(t){this.couldBacktrack=!0,this.backtrackFragment=t,this.resetTransmuxer(),this.flushBufferGap(t),this.fragmentTracker.removeFragment(t),this.fragPrevious=null,this.nextLoadPosition=t.start,this.state=zr.IDLE}checkFragmentChanged(){const t=this.media;let n=null;if(t&&t.readyState>1&&t.seeking===!1){const o=t.currentTime;if(yi.isBuffered(t,o)?n=this.getAppendedFrag(o):yi.isBuffered(t,o+.1)&&(n=this.getAppendedFrag(o+.1)),n){this.backtrackFragment=null;const m=this.fragPlaying,E=n.level;(!m||n.sn!==m.sn||m.level!==E)&&(this.fragPlaying=n,this.hls.trigger(s.FRAG_CHANGED,{frag:n}),(!m||m.level!==E)&&this.hls.trigger(s.LEVEL_SWITCHED,{level:E}))}}}get nextLevel(){const t=this.nextBufferedFrag;return t?t.level:-1}get currentFrag(){var t;if(this.fragPlaying)return this.fragPlaying;const n=((t=this.media)==null?void 0:t.currentTime)||this.lastCurrentTime;return r(n)?this.getAppendedFrag(n):null}get currentProgramDateTime(){var t;const n=((t=this.media)==null?void 0:t.currentTime)||this.lastCurrentTime;if(r(n)){const o=this.getLevelDetails(),m=this.currentFrag||(o?En(null,o.fragments,n):null);if(m){const E=m.programDateTime;if(E!==null){const C=E+(n-m.start)*1e3;return new Date(C)}}}return null}get currentLevel(){const t=this.currentFrag;return t?t.level:-1}get nextBufferedFrag(){const t=this.currentFrag;return t?this.followingBufferedFrag(t):null}get forceStartLoad(){return this._forceStartLoad}}class ve{constructor(t){this.config=void 0,this.keyUriToKeyInfo={},this.emeController=null,this.config=t}abort(t){for(const o in this.keyUriToKeyInfo){const m=this.keyUriToKeyInfo[o].loader;if(m){var n;if(t&&t!==((n=m.context)==null?void 0:n.frag.type))return;m.abort()}}}detach(){for(const t in this.keyUriToKeyInfo){const n=this.keyUriToKeyInfo[t];(n.mediaKeySessionContext||n.decryptdata.isCommonEncryption)&&delete this.keyUriToKeyInfo[t]}}destroy(){this.detach();for(const t in this.keyUriToKeyInfo){const n=this.keyUriToKeyInfo[t].loader;n&&n.destroy()}this.keyUriToKeyInfo={}}createKeyLoadError(t,n=f.KEY_LOAD_ERROR,o,m,E){return new Na({type:c.NETWORK_ERROR,details:n,fatal:!1,frag:t,response:E,error:o,networkDetails:m})}loadClear(t,n){if(this.emeController&&this.config.emeEnabled){const{sn:o,cc:m}=t;for(let E=0;E{C.setKeyFormat(U)});break}}}}load(t){return!t.decryptdata&&t.encrypted&&this.emeController&&this.config.emeEnabled?this.emeController.selectKeySystemFormat(t).then(n=>this.loadInternal(t,n)):this.loadInternal(t)}loadInternal(t,n){var o,m;n&&t.setKeyFormat(n);const E=t.decryptdata;if(!E){const $=new Error(n?`Expected frag.decryptdata to be defined after setting format ${n}`:"Missing decryption data on fragment in onKeyLoading");return Promise.reject(this.createKeyLoadError(t,f.KEY_LOAD_ERROR,$))}const C=E.uri;if(!C)return Promise.reject(this.createKeyLoadError(t,f.KEY_LOAD_ERROR,new Error(`Invalid key URI: "${C}"`)));let U=this.keyUriToKeyInfo[C];if((o=U)!=null&&o.decryptdata.key)return E.key=U.decryptdata.key,Promise.resolve({frag:t,keyInfo:U});if((m=U)!=null&&m.keyLoadPromise){var H;switch((H=U.mediaKeySessionContext)==null?void 0:H.keyStatus){case void 0:case"status-pending":case"usable":case"usable-in-future":return U.keyLoadPromise.then($=>(E.key=$.keyInfo.decryptdata.key,{frag:t,keyInfo:U}))}}switch(U=this.keyUriToKeyInfo[C]={decryptdata:E,keyLoadPromise:null,loader:null,mediaKeySessionContext:null},E.method){case"ISO-23001-7":case"SAMPLE-AES":case"SAMPLE-AES-CENC":case"SAMPLE-AES-CTR":return E.keyFormat==="identity"?this.loadKeyHTTP(U,t):this.loadKeyEME(U,t);case"AES-128":case"AES-256":case"AES-256-CTR":return this.loadKeyHTTP(U,t);default:return Promise.reject(this.createKeyLoadError(t,f.KEY_LOAD_ERROR,new Error(`Key supplied with unsupported METHOD: "${E.method}"`)))}}loadKeyEME(t,n){const o={frag:n,keyInfo:t};if(this.emeController&&this.config.emeEnabled){const m=this.emeController.loadKey(o);if(m)return(t.keyLoadPromise=m.then(E=>(t.mediaKeySessionContext=E,o))).catch(E=>{throw t.keyLoadPromise=null,E})}return Promise.resolve(o)}loadKeyHTTP(t,n){const o=this.config,m=o.loader,E=new m(o);return n.keyLoader=t.loader=E,t.keyLoadPromise=new Promise((C,U)=>{const H={keyInfo:t,frag:n,responseType:"arraybuffer",url:t.decryptdata.uri},$=o.keyLoadPolicy.default,ae={loadPolicy:$,timeout:$.maxLoadTimeMs,maxRetry:0,retryDelay:0,maxRetryDelay:0},ce={onSuccess:(xe,Te,De,tt)=>{const{frag:at,keyInfo:Bt,url:dr}=De;if(!at.decryptdata||Bt!==this.keyUriToKeyInfo[dr])return U(this.createKeyLoadError(at,f.KEY_LOAD_ERROR,new Error("after key load, decryptdata unset or changed"),tt));Bt.decryptdata.key=at.decryptdata.key=new Uint8Array(xe.data),at.keyLoader=null,Bt.loader=null,C({frag:at,keyInfo:Bt})},onError:(xe,Te,De,tt)=>{this.resetLoader(Te),U(this.createKeyLoadError(n,f.KEY_LOAD_ERROR,new Error(`HTTP Error ${xe.code} loading key ${xe.text}`),De,b({url:H.url,data:void 0},xe)))},onTimeout:(xe,Te,De)=>{this.resetLoader(Te),U(this.createKeyLoadError(n,f.KEY_LOAD_TIMEOUT,new Error("key loading timed out"),De))},onAbort:(xe,Te,De)=>{this.resetLoader(Te),U(this.createKeyLoadError(n,f.INTERNAL_ABORTED,new Error("key loading aborted"),De))}};E.load(H,ae,ce)})}resetLoader(t){const{frag:n,keyInfo:o,url:m}=t,E=o.loader;n.keyLoader===E&&(n.keyLoader=null,o.loader=null),delete this.keyUriToKeyInfo[m],E&&E.destroy()}}function Le(P){const{type:t}=P;switch(t){case h.AUDIO_TRACK:return u.AUDIO;case h.SUBTITLE_TRACK:return u.SUBTITLE;default:return u.MAIN}}function lt(P,t){let n=P.url;return(n===void 0||n.indexOf("data:")===0)&&(n=t.url),n}class jt{constructor(t){this.hls=void 0,this.loaders=Object.create(null),this.variableList=null,this.onManifestLoaded=this.checkAutostartLoad,this.hls=t,this.registerListeners()}startLoad(t){}stopLoad(){this.destroyInternalLoaders()}registerListeners(){const{hls:t}=this;t.on(s.MANIFEST_LOADING,this.onManifestLoading,this),t.on(s.LEVEL_LOADING,this.onLevelLoading,this),t.on(s.AUDIO_TRACK_LOADING,this.onAudioTrackLoading,this),t.on(s.SUBTITLE_TRACK_LOADING,this.onSubtitleTrackLoading,this),t.on(s.LEVELS_UPDATED,this.onLevelsUpdated,this)}unregisterListeners(){const{hls:t}=this;t.off(s.MANIFEST_LOADING,this.onManifestLoading,this),t.off(s.LEVEL_LOADING,this.onLevelLoading,this),t.off(s.AUDIO_TRACK_LOADING,this.onAudioTrackLoading,this),t.off(s.SUBTITLE_TRACK_LOADING,this.onSubtitleTrackLoading,this),t.off(s.LEVELS_UPDATED,this.onLevelsUpdated,this)}createInternalLoader(t){const n=this.hls.config,o=n.pLoader,m=n.loader,E=o||m,C=new E(n);return this.loaders[t.type]=C,C}getInternalLoader(t){return this.loaders[t.type]}resetInternalLoader(t){this.loaders[t]&&delete this.loaders[t]}destroyInternalLoaders(){for(const t in this.loaders){const n=this.loaders[t];n&&n.destroy(),this.resetInternalLoader(t)}}destroy(){this.variableList=null,this.unregisterListeners(),this.destroyInternalLoaders()}onManifestLoading(t,n){const{url:o}=n;this.variableList=null,this.load({id:null,level:0,responseType:"text",type:h.MANIFEST,url:o,deliveryDirectives:null,levelOrTrack:null})}onLevelLoading(t,n){const{id:o,level:m,pathwayId:E,url:C,deliveryDirectives:U,levelInfo:H}=n;this.load({id:o,level:m,pathwayId:E,responseType:"text",type:h.LEVEL,url:C,deliveryDirectives:U,levelOrTrack:H})}onAudioTrackLoading(t,n){const{id:o,groupId:m,url:E,deliveryDirectives:C,track:U}=n;this.load({id:o,groupId:m,level:null,responseType:"text",type:h.AUDIO_TRACK,url:E,deliveryDirectives:C,levelOrTrack:U})}onSubtitleTrackLoading(t,n){const{id:o,groupId:m,url:E,deliveryDirectives:C,track:U}=n;this.load({id:o,groupId:m,level:null,responseType:"text",type:h.SUBTITLE_TRACK,url:E,deliveryDirectives:C,levelOrTrack:U})}onLevelsUpdated(t,n){const o=this.loaders[h.LEVEL];if(o){const m=o.context;m&&!n.levels.some(E=>E===m.levelOrTrack)&&(o.abort(),delete this.loaders[h.LEVEL])}}load(t){var n;const o=this.hls.config;let m=this.getInternalLoader(t);if(m){const $=this.hls.logger,ae=m.context;if(ae&&ae.levelOrTrack===t.levelOrTrack&&(ae.url===t.url||ae.deliveryDirectives&&!t.deliveryDirectives)){ae.url===t.url?$.log(`[playlist-loader]: ignore ${t.url} ongoing request`):$.log(`[playlist-loader]: ignore ${t.url} in favor of ${ae.url}`);return}$.log(`[playlist-loader]: aborting previous loader for type: ${t.type}`),m.abort()}let E;if(t.type===h.MANIFEST?E=o.manifestLoadPolicy.default:E=y({},o.playlistLoadPolicy.default,{timeoutRetry:null,errorRetry:null}),m=this.createInternalLoader(t),r((n=t.deliveryDirectives)==null?void 0:n.part)){let $;if(t.type===h.LEVEL&&t.level!==null?$=this.hls.levels[t.level].details:t.type===h.AUDIO_TRACK&&t.id!==null?$=this.hls.audioTracks[t.id].details:t.type===h.SUBTITLE_TRACK&&t.id!==null&&($=this.hls.subtitleTracks[t.id].details),$){const ae=$.partTarget,ce=$.targetduration;if(ae&&ce){const xe=Math.max(ae*3,ce*.8)*1e3;E=y({},E,{maxTimeToFirstByteMs:Math.min(xe,E.maxTimeToFirstByteMs),maxLoadTimeMs:Math.min(xe,E.maxTimeToFirstByteMs)})}}}const C=E.errorRetry||E.timeoutRetry||{},U={loadPolicy:E,timeout:E.maxLoadTimeMs,maxRetry:C.maxNumRetry||0,retryDelay:C.retryDelayMs||0,maxRetryDelay:C.maxRetryDelayMs||0},H={onSuccess:($,ae,ce,xe)=>{const Te=this.getInternalLoader(ce);this.resetInternalLoader(ce.type);const De=$.data;if(De.indexOf("#EXTM3U")!==0){this.handleManifestParsingError($,ce,new Error("no EXTM3U delimiter"),xe||null,ae);return}ae.parsing.start=performance.now(),fs.isMediaPlaylist(De)||ce.type!==h.MANIFEST?this.handleTrackOrLevelPlaylist($,ae,ce,xe||null,Te):this.handleMasterPlaylist($,ae,ce,xe)},onError:($,ae,ce,xe)=>{this.handleNetworkError(ae,ce,!1,$,xe)},onTimeout:($,ae,ce)=>{this.handleNetworkError(ae,ce,!0,void 0,$)}};m.load(t,U,H)}checkAutostartLoad(){if(!this.hls)return;const{config:{autoStartLoad:t,startPosition:n},forceStartLoad:o}=this.hls;(t||o)&&(this.hls.logger.log(`${t?"auto":"force"} startLoad with configured startPosition ${n}`),this.hls.startLoad(n))}handleMasterPlaylist(t,n,o,m){const E=this.hls,C=t.data,U=lt(t,o),H=fs.parseMasterPlaylist(C,U);if(H.playlistParsingError){this.handleManifestParsingError(t,o,H.playlistParsingError,m,n);return}const{contentSteering:$,levels:ae,sessionData:ce,sessionKeys:xe,startTimeOffset:Te,variableList:De}=H;this.variableList=De;const{AUDIO:tt=[],SUBTITLES:at,"CLOSED-CAPTIONS":Bt}=fs.parseMasterPlaylistMedia(C,U,H);tt.length&&!tt.some(ar=>!ar.url)&&ae[0].audioCodec&&!ae[0].attrs.AUDIO&&(this.hls.logger.log("[playlist-loader]: audio codec signaled in quality level, but no embedded audio track signaled, create one"),tt.unshift({type:"main",name:"main",groupId:"main",default:!1,autoselect:!1,forced:!1,id:-1,attrs:new ji({}),bitrate:0,url:""})),E.trigger(s.MANIFEST_LOADED,{levels:ae,audioTracks:tt,subtitles:at,captions:Bt,contentSteering:$,url:U,stats:n,networkDetails:m,sessionData:ce,sessionKeys:xe,startTimeOffset:Te,variableList:De})}handleTrackOrLevelPlaylist(t,n,o,m,E){const C=this.hls,{id:U,level:H,type:$}=o,ae=lt(t,o),ce=r(H)?H:r(U)?U:0,xe=Le(o),Te=fs.parseLevelPlaylist(t.data,ae,ce,xe,0,this.variableList);if($===h.MANIFEST){const De={attrs:new ji({}),bitrate:0,details:Te,name:"",url:ae};Te.requestScheduled=n.loading.start+ur(Te,0),C.trigger(s.MANIFEST_LOADED,{levels:[De],audioTracks:[],url:ae,stats:n,networkDetails:m,sessionData:null,sessionKeys:null,contentSteering:null,startTimeOffset:null,variableList:null})}n.parsing.end=performance.now(),o.levelDetails=Te,this.handlePlaylistLoaded(Te,t,n,o,m,E)}handleManifestParsingError(t,n,o,m,E){this.hls.trigger(s.ERROR,{type:c.NETWORK_ERROR,details:f.MANIFEST_PARSING_ERROR,fatal:n.type===h.MANIFEST,url:t.url,err:o,error:o,reason:o.message,response:t,context:n,networkDetails:m,stats:E})}handleNetworkError(t,n,o=!1,m,E){let C=`A network ${o?"timeout":"error"+(m?" (status "+m.code+")":"")} occurred while loading ${t.type}`;t.type===h.LEVEL?C+=`: ${t.level} id: ${t.id}`:(t.type===h.AUDIO_TRACK||t.type===h.SUBTITLE_TRACK)&&(C+=` id: ${t.id} group-id: "${t.groupId}"`);const U=new Error(C);this.hls.logger.warn(`[playlist-loader]: ${C}`);let H=f.UNKNOWN,$=!1;const ae=this.getInternalLoader(t);switch(t.type){case h.MANIFEST:H=o?f.MANIFEST_LOAD_TIMEOUT:f.MANIFEST_LOAD_ERROR,$=!0;break;case h.LEVEL:H=o?f.LEVEL_LOAD_TIMEOUT:f.LEVEL_LOAD_ERROR,$=!1;break;case h.AUDIO_TRACK:H=o?f.AUDIO_TRACK_LOAD_TIMEOUT:f.AUDIO_TRACK_LOAD_ERROR,$=!1;break;case h.SUBTITLE_TRACK:H=o?f.SUBTITLE_TRACK_LOAD_TIMEOUT:f.SUBTITLE_LOAD_ERROR,$=!1;break}ae&&this.resetInternalLoader(t.type);const ce={type:c.NETWORK_ERROR,details:H,fatal:$,url:t.url,loader:ae,context:t,error:U,networkDetails:n,stats:E};if(m){const xe=(n==null?void 0:n.url)||t.url;ce.response=b({url:xe,data:void 0},m)}this.hls.trigger(s.ERROR,ce)}handlePlaylistLoaded(t,n,o,m,E,C){const U=this.hls,{type:H,level:$,id:ae,groupId:ce,deliveryDirectives:xe}=m,Te=lt(n,m),De=Le(m),tt=typeof m.level=="number"&&De===u.MAIN?$:void 0;if(!t.fragments.length){const Bt=t.playlistParsingError=new Error("No Segments found in Playlist");U.trigger(s.ERROR,{type:c.NETWORK_ERROR,details:f.LEVEL_EMPTY_ERROR,fatal:!1,url:Te,error:Bt,reason:Bt.message,response:n,context:m,level:tt,parent:De,networkDetails:E,stats:o});return}t.targetduration||(t.playlistParsingError=new Error("Missing Target Duration"));const at=t.playlistParsingError;if(at){if(this.hls.logger.warn(at),!U.config.ignorePlaylistParsingErrors){U.trigger(s.ERROR,{type:c.NETWORK_ERROR,details:f.LEVEL_PARSING_ERROR,fatal:!1,url:Te,error:at,reason:at.message,response:n,context:m,level:tt,parent:De,networkDetails:E,stats:o});return}t.playlistParsingError=null}switch(t.live&&C&&(C.getCacheAge&&(t.ageHeader=C.getCacheAge()||0),(!C.getCacheAge||isNaN(t.ageHeader))&&(t.ageHeader=0)),H){case h.MANIFEST:case h.LEVEL:U.trigger(s.LEVEL_LOADED,{details:t,levelInfo:m.levelOrTrack||U.levels[0],level:tt||0,id:ae||0,stats:o,networkDetails:E,deliveryDirectives:xe,withoutMultiVariant:H===h.MANIFEST});break;case h.AUDIO_TRACK:U.trigger(s.AUDIO_TRACK_LOADED,{details:t,track:m.levelOrTrack,id:ae||0,groupId:ce||"",stats:o,networkDetails:E,deliveryDirectives:xe});break;case h.SUBTITLE_TRACK:U.trigger(s.SUBTITLE_TRACK_LOADED,{details:t,track:m.levelOrTrack,id:ae||0,groupId:ce||"",stats:o,networkDetails:E,deliveryDirectives:xe});break}}}class rr{static get version(){return In}static isMSESupported(){return $f()}static isSupported(){return Tf()}static getMediaSource(){return oe()}static get Events(){return s}static get MetadataSchema(){return we}static get ErrorTypes(){return c}static get ErrorDetails(){return f}static get DefaultConfig(){return rr.defaultConfig?rr.defaultConfig:tf}static set DefaultConfig(t){rr.defaultConfig=t}constructor(t={}){this.config=void 0,this.userConfig=void 0,this.logger=void 0,this.coreComponents=void 0,this.networkControllers=void 0,this._emitter=new ks,this._autoLevelCapping=-1,this._maxHdcpLevel=null,this.abrController=void 0,this.bufferController=void 0,this.capLevelController=void 0,this.latencyController=void 0,this.levelController=void 0,this.streamController=void 0,this.audioStreamController=void 0,this.subtititleStreamController=void 0,this.audioTrackController=void 0,this.subtitleTrackController=void 0,this.interstitialsController=void 0,this.gapController=void 0,this.emeController=void 0,this.cmcdController=void 0,this._media=null,this._url=null,this._sessionId=void 0,this.triggeringException=void 0,this.started=!1;const n=this.logger=Q(t.debug||!1,"Hls instance",t.assetPlayerId),o=this.config=fl(rr.DefaultConfig,t,n);this.userConfig=t,o.progressive&&Wo(o,n);const{abrController:m,bufferController:E,capLevelController:C,errorController:U,fpsController:H}=o,$=new U(this),ae=this.abrController=new m(this),ce=new Or(this),xe=o.interstitialsController,Te=xe?this.interstitialsController=new xe(this,rr):null,De=this.bufferController=new E(this,ce),tt=this.capLevelController=new C(this),at=new H(this),Bt=new jt(this),dr=o.contentSteeringController,ar=dr?new dr(this):null,Zr=this.levelController=new Bf(this,ar),Gr=new Hf(this),fn=new ve(this.config),Vr=this.streamController=new Z(this,ce,fn),on=this.gapController=new mf(this,ce);tt.setStreamController(Vr),at.setStreamController(Vr);const _n=[Bt,Zr,Vr];Te&&_n.splice(1,0,Te),ar&&_n.splice(1,0,ar),this.networkControllers=_n;const Xr=[ae,De,on,tt,at,Gr,ce];this.audioTrackController=this.createController(o.audioTrackController,_n);const Yn=o.audioStreamController;Yn&&_n.push(this.audioStreamController=new Yn(this,ce,fn)),this.subtitleTrackController=this.createController(o.subtitleTrackController,_n);const di=o.subtitleStreamController;di&&_n.push(this.subtititleStreamController=new di(this,ce,fn)),this.createController(o.timelineController,Xr),fn.emeController=this.emeController=this.createController(o.emeController,Xr),this.cmcdController=this.createController(o.cmcdController,Xr),this.latencyController=this.createController(Cf,Xr),this.coreComponents=Xr,_n.push($);const os=$.onErrorOut;typeof os=="function"&&this.on(s.ERROR,os,$),this.on(s.MANIFEST_LOADED,Bt.onManifestLoaded,Bt)}createController(t,n){if(t){const o=new t(this);return n&&n.push(o),o}return null}on(t,n,o=this){this._emitter.on(t,n,o)}once(t,n,o=this){this._emitter.once(t,n,o)}removeAllListeners(t){this._emitter.removeAllListeners(t)}off(t,n,o=this,m){this._emitter.off(t,n,o,m)}listeners(t){return this._emitter.listeners(t)}emit(t,n,o){return this._emitter.emit(t,n,o)}trigger(t,n){if(this.config.debug)return this.emit(t,t,n);try{return this.emit(t,t,n)}catch(o){if(this.logger.error("An internal error happened while handling event "+t+'. Error message: "'+o.message+'". Here is a stacktrace:',o),!this.triggeringException){this.triggeringException=!0;const m=t===s.ERROR;this.trigger(s.ERROR,{type:c.OTHER_ERROR,details:f.INTERNAL_EXCEPTION,fatal:m,event:t,error:o}),this.triggeringException=!1}}return!1}listenerCount(t){return this._emitter.listenerCount(t)}destroy(){this.logger.log("destroy"),this.trigger(s.DESTROYING,void 0),this.detachMedia(),this.removeAllListeners(),this._autoLevelCapping=-1,this._url=null,this.networkControllers.forEach(n=>n.destroy()),this.networkControllers.length=0,this.coreComponents.forEach(n=>n.destroy()),this.coreComponents.length=0;const t=this.config;t.xhrSetup=t.fetchSetup=void 0,this.userConfig=null}attachMedia(t){if(!t||"media"in t&&!t.media){const E=new Error(`attachMedia failed: invalid argument (${t})`);this.trigger(s.ERROR,{type:c.OTHER_ERROR,details:f.ATTACH_MEDIA_ERROR,fatal:!0,error:E});return}this.logger.log("attachMedia"),this._media&&(this.logger.warn("media must be detached before attaching"),this.detachMedia());const n="media"in t,o=n?t.media:t,m=n?t:{media:o};this._media=o,this.trigger(s.MEDIA_ATTACHING,m)}detachMedia(){this.logger.log("detachMedia"),this.trigger(s.MEDIA_DETACHING,{}),this._media=null}transferMedia(){this._media=null;const t=this.bufferController.transferMedia();return this.trigger(s.MEDIA_DETACHING,{transferMedia:t}),t}loadSource(t){this.stopLoad();const n=this.media,o=this._url,m=this._url=le.buildAbsoluteURL(self.location.href,t,{alwaysNormalize:!0});this._autoLevelCapping=-1,this._maxHdcpLevel=null,this.logger.log(`loadSource:${m}`),n&&o&&(o!==m||this.bufferController.hasSourceTypes())&&(this.detachMedia(),this.attachMedia(n)),this.trigger(s.MANIFEST_LOADING,{url:t})}get url(){return this._url}get hasEnoughToStart(){return this.streamController.hasEnoughToStart}get startPosition(){return this.streamController.startPositionValue}startLoad(t=-1,n){this.logger.log(`startLoad(${t+(n?", ":"")})`),this.started=!0,this.resumeBuffering();for(let o=0;o{t.resumeBuffering&&t.resumeBuffering()}))}pauseBuffering(){this.bufferingEnabled&&(this.logger.log("pause buffering"),this.networkControllers.forEach(t=>{t.pauseBuffering&&t.pauseBuffering()}))}get inFlightFragments(){const t={[u.MAIN]:this.streamController.inFlightFrag};return this.audioStreamController&&(t[u.AUDIO]=this.audioStreamController.inFlightFrag),this.subtititleStreamController&&(t[u.SUBTITLE]=this.subtititleStreamController.inFlightFrag),t}swapAudioCodec(){this.logger.log("swapAudioCodec"),this.streamController.swapAudioCodec()}recoverMediaError(){this.logger.log("recoverMediaError");const t=this._media,n=t==null?void 0:t.currentTime;this.detachMedia(),t&&(this.attachMedia(t),n&&this.startLoad(n))}removeLevel(t){this.levelController.removeLevel(t)}get sessionId(){let t=this._sessionId;return t||(t=this._sessionId=ki()),t}get levels(){const t=this.levelController.levels;return t||[]}get latestLevelDetails(){return this.streamController.getLevelDetails()||null}get loadLevelObj(){return this.levelController.loadLevelObj}get currentLevel(){return this.streamController.currentLevel}set currentLevel(t){this.logger.log(`set currentLevel:${t}`),this.levelController.manualLevel=t,this.streamController.immediateLevelSwitch()}get nextLevel(){return this.streamController.nextLevel}set nextLevel(t){this.logger.log(`set nextLevel:${t}`),this.levelController.manualLevel=t,this.streamController.nextLevelSwitch()}get loadLevel(){return this.levelController.level}set loadLevel(t){this.logger.log(`set loadLevel:${t}`),this.levelController.manualLevel=t}get nextLoadLevel(){return this.levelController.nextLoadLevel}set nextLoadLevel(t){this.levelController.nextLoadLevel=t}get firstLevel(){return Math.max(this.levelController.firstLevel,this.minAutoLevel)}set firstLevel(t){this.logger.log(`set firstLevel:${t}`),this.levelController.firstLevel=t}get startLevel(){const t=this.levelController.startLevel;return t===-1&&this.abrController.forcedAutoLevel>-1?this.abrController.forcedAutoLevel:t}set startLevel(t){this.logger.log(`set startLevel:${t}`),t!==-1&&(t=Math.max(t,this.minAutoLevel)),this.levelController.startLevel=t}get capLevelToPlayerSize(){return this.config.capLevelToPlayerSize}set capLevelToPlayerSize(t){const n=!!t;n!==this.config.capLevelToPlayerSize&&(n?this.capLevelController.startCapping():(this.capLevelController.stopCapping(),this.autoLevelCapping=-1,this.streamController.nextLevelSwitch()),this.config.capLevelToPlayerSize=n)}get autoLevelCapping(){return this._autoLevelCapping}get bandwidthEstimate(){const{bwEstimator:t}=this.abrController;return t?t.getEstimate():NaN}set bandwidthEstimate(t){this.abrController.resetEstimator(t)}get abrEwmaDefaultEstimate(){const{bwEstimator:t}=this.abrController;return t?t.defaultEstimate:NaN}get ttfbEstimate(){const{bwEstimator:t}=this.abrController;return t?t.getEstimateTTFB():NaN}set autoLevelCapping(t){this._autoLevelCapping!==t&&(this.logger.log(`set autoLevelCapping:${t}`),this._autoLevelCapping=t,this.levelController.checkMaxAutoUpdated())}get maxHdcpLevel(){return this._maxHdcpLevel}set maxHdcpLevel(t){Cr(t)&&this._maxHdcpLevel!==t&&(this._maxHdcpLevel=t,this.levelController.checkMaxAutoUpdated())}get autoLevelEnabled(){return this.levelController.manualLevel===-1}get manualLevel(){return this.levelController.manualLevel}get minAutoLevel(){const{levels:t,config:{minAutoBitrate:n}}=this;if(!t)return 0;const o=t.length;for(let m=0;m=n)return m;return 0}get maxAutoLevel(){const{levels:t,autoLevelCapping:n,maxHdcpLevel:o}=this;let m;if(n===-1&&t!=null&&t.length?m=t.length-1:m=n,o)for(let E=m;E--;){const C=t[E].attrs["HDCP-LEVEL"];if(C&&C<=o)return E}return m}get firstAutoLevel(){return this.abrController.firstAutoLevel}get nextAutoLevel(){return this.abrController.nextAutoLevel}set nextAutoLevel(t){this.abrController.nextAutoLevel=t}get playingDate(){return this.streamController.currentProgramDateTime}get mainForwardBufferInfo(){return this.streamController.getMainFwdBufferInfo()}get maxBufferLength(){return this.streamController.maxBufferLength}setAudioOption(t){var n;return((n=this.audioTrackController)==null?void 0:n.setAudioOption(t))||null}setSubtitleOption(t){var n;return((n=this.subtitleTrackController)==null?void 0:n.setSubtitleOption(t))||null}get allAudioTracks(){const t=this.audioTrackController;return t?t.allAudioTracks:[]}get audioTracks(){const t=this.audioTrackController;return t?t.audioTracks:[]}get audioTrack(){const t=this.audioTrackController;return t?t.audioTrack:-1}set audioTrack(t){const n=this.audioTrackController;n&&(n.audioTrack=t)}get allSubtitleTracks(){const t=this.subtitleTrackController;return t?t.allSubtitleTracks:[]}get subtitleTracks(){const t=this.subtitleTrackController;return t?t.subtitleTracks:[]}get subtitleTrack(){const t=this.subtitleTrackController;return t?t.subtitleTrack:-1}get media(){return this._media}set subtitleTrack(t){const n=this.subtitleTrackController;n&&(n.subtitleTrack=t)}get subtitleDisplay(){const t=this.subtitleTrackController;return t?t.subtitleDisplay:!1}set subtitleDisplay(t){const n=this.subtitleTrackController;n&&(n.subtitleDisplay=t)}get lowLatencyMode(){return this.config.lowLatencyMode}set lowLatencyMode(t){this.config.lowLatencyMode=t}get liveSyncPosition(){return this.latencyController.liveSyncPosition}get latency(){return this.latencyController.latency}get maxLatency(){return this.latencyController.maxLatency}get targetLatency(){return this.latencyController.targetLatency}set targetLatency(t){this.latencyController.targetLatency=t}get drift(){return this.latencyController.drift}get forceStartLoad(){return this.streamController.forceStartLoad}get pathways(){return this.levelController.pathways}get pathwayPriority(){return this.levelController.pathwayPriority}set pathwayPriority(t){this.levelController.pathwayPriority=t}get bufferedToEnd(){var 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