diff --git a/guides/nextcloud/nextcloud-serverinstallation.md b/guides/nextcloud/nextcloud-serverinstallation.md index 8b94c6f..d13c8d2 100644 --- a/guides/nextcloud/nextcloud-serverinstallation.md +++ b/guides/nextcloud/nextcloud-serverinstallation.md @@ -2,76 +2,69 @@ title: Nextcloud Serverinstallation auf Almalinux 9.x und Debian 12 description: published: true -date: 2024-02-09T19:03:07.944Z +date: 2024-02-09T19:06:38.674Z tags: editor: markdown dateCreated: 2024-02-09T19:02:13.024Z --- - @font-face { font-family: KaTeX\_AMS; font-style: normal; font-weight: 400; src: 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U/p7n7Ox9a3IZmkh4wVQ2V+UqMXVvBJ0zTmwjkV9UBRTGSO5vv4dZ0ahu1rWvrwzU5Z3Obd+6XJ0cnNPPCbtQiNXhCNnUpBcgkSzyV2nPHUKkEvn94vItAvjODOL1CCX0ybAp55lmUoDVudPXvoNeIBiUFKYsrToCILQAl702Vg35M8Lk1kh9p3j2ZO9Jk1FXb1kXbrLfa6yCOEPjlwZSLlRn5zsooH/A0jPVBHrqoCzUdon7zZKph3bHJpZgcDRZ5uHb5Zt/HWq87RDDaOYqHJE52JBHOcyCCqMIZgQ/7gH6Aowor0gi2PR2BWd8euUYi/ic90gGjj9dp4R4FAx9Ji70MdJFgJ3zFNHuzmhb5H1s2hT9bk4CdiI6glVKh3mJMDQKARGqUDkzsfloc9c8pu4+oc6ZTVneKyOCUlmXHkzlSrymyglN3mMgesGj2oCVoKgw2QEVaOZts8aT86HA+sh1hy3IqrU5taTLeRmazSGaQWqaLeqYNBQnWIZuonyh0wFQ7zmW9FMUJIfqf8gXjPB+q2a7bkdlaZRNGGtUckTfQ1JRsoCjW6Hk2pqnOHxfz1/0C8beFiiy8cUYTF1OJw2Wa+qVH8u2VI0sUm7OKFPko7dtwB6+Rka1f8xABPdLRGd+qlIUclsAZm8k15ulMh9nNomdpnYYcPRapvWNzC9vOUn+bRJ365o9XJJSV0q7g4pMYxbZ49eLXm5drOQTw1RkxFj121s9bd9Kz2VatiycMedoz3rX5BTfWWUQhiP4G2LIBA6a3J4vX2ux+9cxTFeq+fEIxQMk97KrcqXVxRbRSQXbtc0b9q2gKSKVSWdfDxMlwbBYLPZPT1aNPaAapG6aO3NL+Y0U2GaaCuz7eZeNDRmvXJh7N2YJid2aNR2akxVG3EkkBXiEwVoQDNX2L+lgmY6Y6psURIzigK7hV5wSAxq9XPddilAs0cltjWm7M+XoZiIMDMW7WujRcD9QnUzJnufo+9TQzEH+3cG+q7QpfYuk0zYAndRAHMmYlrGzKEe/MYxYg2ieJ2kReNetNKSVkX8DamXS4Q9z5U5k28Co6mUSNMkxj8xERmTdyJa3QT9+6nVdQ77yrKBmp03Zv6m1gsIzhNhhux1jlyWo3etIKLnG5g2uuXZV3ouj7DU2AATeSlUqP/gf9EvJ+4rsoGknEd7XUrqamEODkk40hizNTflb7gYj9waWbLmyGko81SEozwuyQGYiyLHlLd/henTnqSkbB7fsziv+SSmP/VPJpfkIfeKr+gGmNCBaVh8mODrvlxE+FiVyA7Xmg9AHQSZRkZNlE8DVJlxCRmdW9SmxdUAO0I54QRLrCJ4NU5im41o6BcjHD+w7C7pbSoSblUjVyvGzdr23WvI4qR23X3q/pNu81DMYoI3U/Lkc/LlzQGlOj3CEN1qDbjUkpQKKMlvXqQGAw2pkc6nE+He1yBH++BLIrrvC2INPuLZFl/lAZmXf5xq7Mk0IE7/ypyu7TLiPzKhMSAkK9DulsWYfkAsx6LfosU31wkEzAvnh/JOsVVOtauu7QOLt6q/fJsLfEUD0DfSRPpROBtonzb7f34SfE26d27AA47elErmu+jnR8/HrLmJhVQiScQvFkEoJrau2fvJiNniWjqWlYFqxJye27xVlh9te6GW//2gB7rSgr1Fk9xnuKXAWtYlbWdp4U9PeUe//u/vT3g90M7F05mm6WnS3lRfADNe6txd2ooEm02jrvx7d+rYJoBWpV6lnBFTfeMNpg8XeyXP7+7SRrJLphuXv2pjjLtxdYOA7ZLvLH0qxWn5fxQ9+IZUGdn8AdeStJL8hf3CrBeR8PEMlFlurNb6S/WjzJ24zhXrqs0Jzi47rV7VIIU1Z7ZpgIq6RTKjf4NVqkRdBiF2dDxV+GzCs19tsrClp+fMdM0pbivJXWjeD/Lw04hWXLOo3PqM4GVo9XR5VG4Pep84g9JWtW19MkYW1HZbmjNk5uC6nBumGGcnzat2JCvxid+UmZP6Mex8QDSR0AQzIazd3W07/tBXHkYtjqzUj+LSY+blSxCC69M5+WPx9MOYfZsDxScwbgiSRQcnx4hV8WRPVYsiWjlvTv3AMO69Ttnf5utMwDkauXB3LlzPPirVSCljaw1TGR5lYIwKTPACBsdy+w4aIDEXM1i7JPpi9t+1Mv2MbLvNyU6HcfqYzKSKpD8u1HnM1aBlRtItI709Fu8Wz+33h7Vnp6BeOtjkU9oydrrfwcEkFV/aWldpxAC++gprYeMnkTJ7C9PI71tc7XFP7aVv/zDgPWbGvLdOc5tigTqoktCC1Nxeu3CeSXC5S/YEURhzMwxC9fWob7gRMLKeq5vgtapnfT0SeDL00s+0yI1Z0aVW4uyvwuTL5lmEE0YQ6ObxD755LBYqrJSM3d5baUme996sMG52KxRDyt3bCUjeQuf+8WFOcUVRbkS9d6RbIEAGoG6ubQDwrTX6VLtrwfMNTATd06rIcI/43HygAJn5RSpiI9mSCvEZD1Cd07ud3eazfNCCH0h1LazylC1uWYzbBj7U//PnC29eALqWPA4b3JEEmRHr+cWyI2QYoqK66fzePFpFThIKJzqML+v8kIr8yW5NxSZLGeAq7V0HTOK6ssqHHgg2bxYZjOJEdGOPFVKMgT9lVPqDFDtMC4GQHZgqUQxOuOX3SkSXVMoT0PSJEvkkeclm0JTGo67EqhcSgy8BR+2dI7MVuAdyanqplEO753G0lU87kaFhc7N5g3bzvDxzZmUIBdXOTn1/qYjZQeYOwGS90Tb2WSTN5anjeNSc8O19qQgFK6oXBjJ9k7osVkn9HjZkQsVleEMJT+i0LCkJLRSIhsry1kjkxzfel+ak1dZ1GzlTGN1zFKQF057nF/yv6WR8upDJxobFSpbuWsmDDH4eFH4kX2jLD/g8mPwa+7amYdfl/cQFazYQm7Z+arTwtmxkgJVAK1Dy/LnPeN1naenmmT8AFmNejyBQMC/qju12mO9qZNuUSkXSkDp0xNhTyeCUKIAT7016TxqlUNRWoAPDI9K21KGYqayyilOHbmWkBBnSiWu4dVVyplrGC+nCM7RbbSUl15yBnn+Z78ul3P5wfVToXoGppnyosAM7yuQUcqcgX11EWxMQ/NN/ujLlrcDYwtaldC9YDzrDx2rYRLVTYrvnrShmryFp4Alf2PXNVu12WnvluLZJXNC4h9/Ox/FjdUmPw8sRmPefAxksknuiW4mnJenHOJBuOKdevn7LcKxnLJoz3SEMNP+WL9ewIH/Rr1D85aCYGeERDtbwNudVN6RSGhpFUTb1YwkSOcuGbAzpoGWtjoj0I1orWCXnvHnxxFSZfyPgmIGT5xR8dbpBaFX6pzuSKKQySRnFe2viJIx6hxokbHY2G2nC0xl/BnSAg372lk4PA0dvG/f5x/Q1I3f1N5qNneRcWKi2cTbi0PcQytXgM87wgd20/tY3Mh4+jS7o0zto3++Eoxr22oxpZmsdXZ30acpKm91+ewHFtR59Ax28CC4oDao7w4NAifiPHoc27Mb/J1qSJUhc9RiZdj8MYbfCDtqMkKZdxviBk5N6i2tEVca05T8Mq+Kh+DDfECq1pYEwupcpL71XcHqpZXcS4hzqCm1IrVpzqor1IjLvK1DSNzU3HpuNELQ+Ix6rZHPS8nLy4UapusdTDXiHgodBAfNNd3T5z5UaiCo/17oj47mzT0HN5lt824WfXc0NoN1Dy1I9dBcI3yA1rNm7XGUaVixqId2ADbOG/JJgIj2S3Jzglv/dVRFuSu6cseJ/VGQWIK4h5bDo3PbVkhL5wd8x/9NqGTKsf6JhUHkz+1KgSZSoiB1mjoLa8YlFIT1LdvXznjEinhUSy8vT5wvcXfmXQgvt/SsjGzwrcWYv5LIYgepYXNLd81uG7Obw+7GGP7dqHto0SLwuYPa0acPL6cp26t16FKvK3xHW50FmCPMFlDXymR5CJzsKTEoNxGIywpM88bxM9RHSYKuKlcVC5qmytdOeocCS/3/6hk82D0NannzNrtjRFZintLZtNtBwWgSe95qmbmvM7gRC1vK5ihgMYS6h+YvAlObejyj7OJia42CO7j9qNQu9W0SywDkWutcsyL3cOvnVmC9b60Cs2wspootYIdr0cPM2n014V/FUpnPqqhpcuul46L7rakq7yj+Orai12h2GQSFEKMOJErNZdG5MlXmLnY4Hf8p8uLHD7Wo6ks8UyaHYma4KGZxCEmqxeqwyZOAv8k/CSDOz582PQOf6OacDapia+UxMQ389Mz3NLkIbBTD0DWbf+bnEvMEy/V741GEdhTOy5t45DeaDoYI3yeNnt8RrcvOhpnvN1cI24QVC+u+fR9D0hweWxcTdNS6c/EAIU3i9Qer2UZ/TOOYzaiJHIVaxu6y3yjKgN0QHHQHPDl8tnbKZ0Q99b3cvyU65A94gm6ErqhSeJVViqpxW86XWF9B443tzrHQhn3PuqHE7i052lIXBM0dmjs4rn5pw1Io15Sp9i9FcB8fKhFXbnlsJORB0I7Wth0ixcJm8O8ukKHE5v3ArucM/HhP20FCNE3Gf3MGeUM8WETucoO4hZZXuZePrC6KWA3SEd+r/w4YHJjDgLC3Gg6cf25FlgaVFr3SIjcnAj4+XiDX/uP46iuBAkpERhueGBDvXkVCRSLm1RvmoOvWeFN3XXJwugckFTkM3FltRUIfnhUZg1fsj9W/TAgxGBAzFZ+VGM1ITK7da4iNoNwsLjiC7lxhklRFFg4W9BsLjtyUaxe6IssGGFLAEPiGvEvgg5Hj+ExMl2+aKrW8OkzP0cxBQwMlCmth6+pdMM0AJSSwJVlR065KLaNyhcbayhitMuVCBB7HYjJmJJTxDdGYlupvpZgIUdFEigWpWR3nHfKJVl03sadpwpNN59YU9xEPxJhUaQTDtVhqBCl5xTtW/vQAB2OFd7dsd6Or47VCa3SdlhpqoxriI1jxFGOwsxKto9nensM1srLwUQfiMT1VTLUrRFZCGQHRgKuPM3FT4fHfbieghM+EJ63bKbFoxpiBCC1LJm/RNvZ4e9RatVhGaMEcaxSIJaXaJHV75mZp/bUVhUvLAPSXgqNGGhpwfEEG/jMcXw3dzdWGatSiBhXTzUy+WAFsoMdKu4slczmPJ5aasAklT7iMZHX42/9XbxUKVjhXCIRkjdSZGBfxAX7OrMzvxtVxqBG7TVHkbQOn7J2sUB7YtcO3EWzEX9In5dz3IjOn+Ya8iEre9HbWyYe9w6jr/lOzZ2W4FwUjkOXMX5lpD2PQMGUElJB0MVkKoYYh12CgwWhrt9gwlztpx+OkCcHSqn+YpvAFp37aPx/RDXmHkOxvJMuSGw+6K2vtxeULV9F9ZPOcBjUyVVpJZwQY2X/+IucLhifNro3uVlED1TRlS7xn9ICbRI3HLDTa+QqVrVSi6sdCJ46kcZ+64tGdyyukQfZ0uXy22WmfpqJjrMp5fdB/vsneCFjypJCpuC23jSotq8rLsc1B+Vd81TM0KCUWW7d8daF3nu/OystGOJog10wr2fD3nNTICaoMQ7ay0iMrVLrQfTOVShvRSu6xqVfwQH+/9wuHFjn9nbUyDmps0CerpeeqqLE/riC9bG1L6uNqnBUmQ2UCF0c3r9SkVcj/SUNjN517WVRIKD4bU6jWfKNAkUJ/eDn8bkUxlT7UTFTnDow1arEp9imztbPHgDFRE5qUtG1IJeWQ7xA4aL+TaN6jJ05Y6xv2pgbVog4+z1pDRI5sOw7grGyYyaqFFoEqUpwe9sLbTyC0U1VCG5PoIJHwGv37q464ikdNkThA7aFXFH4Z6Y4NJo9TXeXnCB3R+EoSIkieJ1w8lJ49orqKnPz74/P1xbpi3daXhToJSJm/57mjvvKPz6H19QrXr+JxA2f4pa7QyZvIGVB1tfoKgLLFn7V+4GYSiehsQHoyMyHJNOm0Jkp+lKoIE0QuwWAMgxAjdPROEs16605VHIYIu3UNkvZF9bMKPx0PJhjH5PSsnbqzByDW75Lyy0VRRbwkMTFSRDVQkvLKM6J1l3GkoWwGRwKfAKh1zLrtKalH9nOpNM6GL1LSlq/n0KjbqcJRYmFaG/pRc5JFIIB1ReRAPLYkHdbpMhDdsHcYSay5L+BpFGwiMbxXFT/Y2UVN869Ypjv+EXDF+kq+LKJJNTfPVeKDJRYfE4qoHtFgAsX48RTEfpTpK/XPKYeuEMDTHKmOQH4y2RsEJANBJrM1zMrItxQaUgUEA0mAOONt1ZERTVbDKkTkw4Townds1Z3sLEigXs3xXuwNdR3dgK1bC0LIt1WbPG3fXz03ewB0FwLdZWwzLvLWVzt3jYCbuGsbHGi+a/WRn6ZQupjaESy1YS0lwBaz6N1K26+YJt9FPRwbd7iXufEQfQKptfwRL3vPn9oFNd1d692M7siM2vJY2+Jgi9hY6M1RBBoD5AVVXZ7GTk+XB87HCvGc8vkfoVgUnhflF65tVnIzRTCS5XKPcr+JdQ27QKG73E12HuUebWqsaETyPTdKE+Ge+b0LzEHs/j0wgMOXLqwf75lq6T10GVxxIL3S2Ilx3NRTpKnSu982ffumijnXieN/2JmM+sjmKqea8YuamqT10HQgPmFwEkJQ1jjNZB+S19JAXzO1rnrx1DrGTSgvN9CKSzk7NjWrTufVFoz/KBbXGsjLfbgdDh92JTAcXBGX4ahKejrYo5xOEJefTNUm0w1cjmJ8P9l28k3gTRe97v0eYFow8i4Ct4UiM+AgDD6TGUmk/pDS1RZo+8UR1jyBUhuD9EZ9dgvGIJxBlssf2j0IgkBpmFNguo5oeDGGDfVNy6tq1GUeGjIqwZ1hzDCt+ZXAoMCfsS3Ot3ScIsn9ZHdWw/4TGVhnwGNvcxPLCPSME/uzGnY/SXLjFPS3Tgv7M/gzwq9rMkyqfrJCFyFA7o7M7EFu5XvyZ/JtvZJfOTsKCwSQX/zh/7WGxNtmXvh5XW8CcHb+0LMg8Or+l0Yl42FpxiCTRoDIsGBtAdrZYwW5WZnReJw0Q0E1lhfLMpK4DAQQqhP4XabyuKdh6jcPxtPoLQ902RNBxjJo2V2P+bcUEGeZqoLlsoystqkDnBk10vRWvtVxFQIFWvxfznrNiCk01axlmg8hkJ76sC+yNOZrNQPhO9zQoH8lYQX/s2GlhNCiaa5/HGCxct1Dvfiqp5q2vzJ/BzVHjZ5R4NtdjgmlQMEyM7KIVJRCqSHr5ATntR5lJadRM2BxbGdaxcRCh2KinqoUX7vpYCQAlCa4Pz/ZX9a3/R2ruAPZqq6a+QVD0/8WQ4thpXoCfdVUGlEzClKQPeoRICXnQfWv5JRkI8u5TK4vF0l2GiOyMzaPClRoDJUvhHqHQsXrhPZzJilEH+ZbAi/5f27aKYUUlvH/+pj0edqRVCRnrCcaj3ql1NBK2lFWjAxtmWfb1DWVGElD4ONx/aOr+69O/Yk6rRLuPwCAiZsbf5AD+hrSt+o+AFAwAGY5E3Repb9DLuBV8as1wWuRLrtDJ+R1WWhPR57itxIUMBWVrefSw+HJLLrE86W+8iYHrmNGQGHuBYTyVAO2+vQPiJk3IQ0ZIn2NxQLF7Rfl13oFCWL25a0poLh+5S4HcFZh4uvz2FecWu7SxTJqSLbHcXUrqJbYYY7I1ysEZpcTEdVeyXWI65pObwY6fhwZX0GQnwQ1Izh5ylweQH8IigD0GZbIkGDFRCpabX9eXusBdSgfvu7/DIel6yhamsJS9fCw0xiZciXRDMLp9h/Qaz86C3CO5igGqg1bxrxRZ1kybEAUilXU4KYEZXAGbAltOOrX30ir9TrHlSAds2gFsRLpuPiB55fz5hMh0gvDI4SzP098hO/6URO1IEwIA4BnYT/+DJWAMoBkNBxoiASwLXgeA4mzbQyM7rMxOCY/jsHLSswYAlV08yK0MbTqgBY8VTpZv6bWqcs4ozVr1KQXX5ogIbeUEhMrlJlwic3n06jXA+MdGbdFZqGeB2cuKlTtavOykIUOkZBBAdf3Vb9AUMb8QpRrN47+APs0t1o2Ju9htX4da2Dd7I36tPEXsXKdPbWX8NGSWi9HzVJ6c4rwxSwgM5mTQNVJRVykzphEVuLFG++NvKHP+zjWqSnWdyChjgHwgrQlcwjdsKRECYpIjNL/lsvSzm9iTVqYj82DOH1JSgkd1pq0+lbAfP5dsVQuokS/ZpVUPqpqD5Z8zHx+CN+p4/OZ+LXPniMx/BJkdqzn7ynMbRs0iH6XoRCFydsYUUMRQYm874AQjEalcJWz0TJwwqwLViR0fkNhELUjILQspdqWmePzGwNqc0j1C2ibl4+L6peWULKcWZkoQnYRI95lefYn0SOoP8t5r+VZgGJCSN/1s5mVM8CjsNcz/DAjqUkT/ylB6L8TfOeCIiGjoKKhC8PAFI4lAhsHF0+kKNFixIrDlyhJshQCqdIIpcsgkilLNjEJqRwyufLkK1CoSLFRSpRSUFLRKFOuQiUtHT0DIxMzjIWVjZ2Dk4ubh1eVaj7+wGCRGa67EBy46GbwEAFCwBVXXXPJjRAhFCJBZIgCUSEaRIfCIEaYjjhqyDEfGxzt62gWi5UZGSjNye+lXvXu5u8RKvzt7f5UqZxCGcHeVN/rRwxl+UDID7ubYayZYGtubJZydPU0t3V24LCm5sT2YO4DKleB/gM4e+k+DEGLrg5Bf2Hj9nQYEA+PpgEs/dh8MFoLw8PkZHiKYFcp0uEpIsADMAp1QxkOFBQVP8IBmpdknHvhPqSY605IiKbFj6Ngi5npq+jD20mTk+hU0JDm7KD9Jr7ufTBWYw7B9PQP+TBrtPCFSc7XhBACNMcA) 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) 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TIt(i){this.\_context=i}TIt.prototype={areaStart:function(){this.\_line=0},areaEnd:function(){this.\_line=NaN},lineStart:function(){this.\_x0=this.\_x1=this.\_y0=this.\_y1=NaN,this.\_point=0},lineEnd:function(){(this.\_line||this.\_line!==0&&this.\_point===3)&&this.\_context.closePath(),this.\_line=1-this.\_line},point:function(i,a){switch(i=+i,a=+a,this.\_point){case 0:this.\_point=1;break;case 1:this.\_point=2;break;case 2:this.\_point=3;var f=(this.\_x0+4\*this.\_x1+i)/6,p=(this.\_y0+4\*this.\_y1+a)/6;this.\_line?this.\_context.lineTo(f,p):this.\_context.moveTo(f,p);break;case 3:this.\_point=4;default:WU(this,i,a);break}this.\_x0=this.\_x1,this.\_x1=i,this.\_y0=this.\_y1,this.\_y1=a}};function G7e(i){return new TIt(i)}function CIt(i,a){this.\_basis=new KU(i),this.\_beta=a}CIt.prototype={lineStart:function(){this.\_x=\[\],this.\_y=\[\],this.\_basis.lineStart()},lineEnd:function(){var i=this.\_x,a=this.\_y,f=i.length-1;if(f>0)for(var 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3:this.point(this.\_x2,this.\_y2);break}(this.\_line||this.\_line!==0&&this.\_point===1)&&this.\_context.closePath(),this.\_line=1-this.\_line},point:function(i,a){if(i=+i,a=+a,this.\_point){var f=this.\_x2-i,p=this.\_y2-a;this.\_l23\_a=Math.sqrt(this.\_l23\_2a=Math.pow(f\*f+p\*p,this.\_alpha))}switch(this.\_point){case 0:this.\_point=1,this.\_line?this.\_context.lineTo(i,a):this.\_context.moveTo(i,a);break;case 1:this.\_point=2;break;case 2:this.\_point=3;default:F1t(this,i,a);break}this.\_l01\_a=this.\_l12\_a,this.\_l12\_a=this.\_l23\_a,this.\_l01\_2a=this.\_l12\_2a,this.\_l12\_2a=this.\_l23\_2a,this.\_x0=this.\_x1,this.\_x1=this.\_x2,this.\_x2=i,this.\_y0=this.\_y1,this.\_y1=this.\_y2,this.\_y2=a}};const Y7e=function i(a){function f(p){return a?new \_It(p,a):new O1t(p,0)}return f.alpha=function(p){return i(+p)},f}(.5);function 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Zw.stringify(v)},jTe=(i,a)=>fa.lang.round(Zw.parse(i)\[a\]),$Te=i=>{const{r:a,g:f,b:p}=Zw.parse(i),v=.2126\*fa.channel.toLinear(a)+.7152\*fa.channel.toLinear(f)+.0722\*fa.channel.toLinear(p);return fa.lang.round(v)},zTe=i=>$Te(i)>=.5,J7=i=>!zTe(i),eDt=(i,a,f)=>{const p=Zw.parse(i),v=p\[a\],m=fa.channel.clamp\[a\](v+f);return v!==m&&(p\[a\]=m),Zw.stringify(p)},bs=(i,a)=>eDt(i,"l",a),js=(i,a)=>eDt(i,"l",-a),xn=(i,a)=>{const f=Zw.parse(i),p={};for(const v in a)a\[v\]&&(p\[v\]=f\[v\]+a\[v\]);return tDt(i,p)},qTe=(i,a,f=50)=>{const{r:p,g:v,b:m,a:b}=Zw.parse(i),{r:E,g:\_,b:L,a:N}=Zw.parse(a),B=f/100,j=B\*2-1,R=b-N,K=((j\*R===-1?j:(j+R)/(1+j\*R))+1)/2,it=1-K,st=p\*K+E\*it,ut=v\*K+\_\*it,bt=m\*K+L\*it,mt=b\*B+N\*(1-B);return IA(st,ut,bt,mt)},Ii=(i,a=100)=>{const f=Zw.parse(i);return f.r=255-f.r,f.g=255-f.g,f.b=255-f.b,qTe(f,i,a)},ag=(i,a)=>a?xn(i,{s:-40,l:10}):xn(i,{s:-40,l:-10}),cW="#ffffff",uW="#f2f2f2";let HTe=class{constructor(){this.background="#f4f4f4",this.primaryColor="#fff4dd",this.noteBkgColor="#fff5ad",this.noteTextColor="#333",this.THEME\_COLOR\_LIMIT=12,this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px"}updateColors(){if(this.primaryTextColor=this.primaryTextColor||(this.darkMode?"#eee":"#333"),this.secondaryColor=this.secondaryColor||xn(this.primaryColor,{h:-120}),this.tertiaryColor=this.tertiaryColor||xn(this.primaryColor,{h:180,l:5}),this.primaryBorderColor=this.primaryBorderColor||ag(this.primaryColor,this.darkMode),this.secondaryBorderColor=this.secondaryBorderColor||ag(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=this.tertiaryBorderColor||ag(this.tertiaryColor,this.darkMode),this.noteBorderColor=this.noteBorderColor||ag(this.noteBkgColor,this.darkMode),this.noteBkgColor=this.noteBkgColor||"#fff5ad",this.noteTextColor=this.noteTextColor||"#333",this.secondaryTextColor=this.secondaryTextColor||Ii(this.secondaryColor),this.tertiaryTextColor=this.tertiaryTextColor||Ii(this.tertiaryColor),this.lineColor=this.lineColor||Ii(this.background),this.arrowheadColor=this.arrowheadColor||Ii(this.background),this.textColor=this.textColor||this.primaryTextColor,this.border2=this.border2||this.tertiaryBorderColor,this.nodeBkg=this.nodeBkg||this.primaryColor,this.mainBkg=this.mainBkg||this.primaryColor,this.nodeBorder=this.nodeBorder||this.primaryBorderColor,this.clusterBkg=this.clusterBkg||this.tertiaryColor,this.clusterBorder=this.clusterBorder||this.tertiaryBorderColor,this.defaultLinkColor=this.defaultLinkColor||this.lineColor,this.titleColor=this.titleColor||this.tertiaryTextColor,this.edgeLabelBackground=this.edgeLabelBackground||(this.darkMode?js(this.secondaryColor,30):this.secondaryColor),this.nodeTextColor=this.nodeTextColor||this.primaryTextColor,this.actorBorder=this.actorBorder||this.primaryBorderColor,this.actorBkg=this.actorBkg||this.mainBkg,this.actorTextColor=this.actorTextColor||this.primaryTextColor,this.actorLineColor=this.actorLineColor||"grey",this.labelBoxBkgColor=this.labelBoxBkgColor||this.actorBkg,this.signalColor=this.signalColor||this.textColor,this.signalTextColor=this.signalTextColor||this.textColor,this.labelBoxBorderColor=this.labelBoxBorderColor||this.actorBorder,this.labelTextColor=this.labelTextColor||this.actorTextColor,this.loopTextColor=this.loopTextColor||this.actorTextColor,this.activationBorderColor=this.activationBorderColor||js(this.secondaryColor,10),this.activationBkgColor=this.activationBkgColor||this.secondaryColor,this.sequenceNumberColor=this.sequenceNumberColor||Ii(this.lineColor),this.sectionBkgColor=this.sectionBkgColor||this.tertiaryColor,this.altSectionBkgColor=this.altSectionBkgColor||"white",this.sectionBkgColor=this.sectionBkgColor||this.secondaryColor,this.sectionBkgColor2=this.sectionBkgColor2||this.primaryColor,this.excludeBkgColor=this.excludeBkgColor||"#eeeeee",this.taskBorderColor=this.taskBorderColor||this.primaryBorderColor,this.taskBkgColor=this.taskBkgColor||this.primaryColor,this.activeTaskBorderColor=this.activeTaskBorderColor||this.primaryColor,this.activeTaskBkgColor=this.activeTaskBkgColor||bs(this.primaryColor,23),this.gridColor=this.gridColor||"lightgrey",this.doneTaskBkgColor=this.doneTaskBkgColor||"lightgrey",this.doneTaskBorderColor=this.doneTaskBorderColor||"grey",this.critBorderColor=this.critBorderColor||"#ff8888",this.critBkgColor=this.critBkgColor||"red",this.todayLineColor=this.todayLineColor||"red",this.taskTextColor=this.taskTextColor||this.textColor,this.taskTextOutsideColor=this.taskTextOutsideColor||this.textColor,this.taskTextLightColor=this.taskTextLightColor||this.textColor,this.taskTextColor=this.taskTextColor||this.primaryTextColor,this.taskTextDarkColor=this.taskTextDarkColor||this.textColor,this.taskTextClickableColor=this.taskTextClickableColor||"#003163",this.personBorder=this.personBorder||this.primaryBorderColor,this.personBkg=this.personBkg||this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||this.tertiaryColor,this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.specialStateColor=this.lineColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||xn(this.primaryColor,{h:30}),this.cScale4=this.cScale4||xn(this.primaryColor,{h:60}),this.cScale5=this.cScale5||xn(this.primaryColor,{h:90}),this.cScale6=this.cScale6||xn(this.primaryColor,{h:120}),this.cScale7=this.cScale7||xn(this.primaryColor,{h:150}),this.cScale8=this.cScale8||xn(this.primaryColor,{h:210,l:150}),this.cScale9=this.cScale9||xn(this.primaryColor,{h:270}),this.cScale10=this.cScale10||xn(this.primaryColor,{h:300}),this.cScale11=this.cScale11||xn(this.primaryColor,{h:330}),this.darkMode)for(let f=0;f{this\[p\]=a\[p\]}),this.updateColors(),f.forEach(p=>{this\[p\]=a\[p\]})}};const GTe=i=>{const a=new HTe;return a.calculate(i),a};let VTe=class{constructor(){this.background="#333",this.primaryColor="#1f2020",this.secondaryColor=bs(this.primaryColor,16),this.tertiaryColor=xn(this.primaryColor,{h:-160}),this.primaryBorderColor=Ii(this.background),this.secondaryBorderColor=ag(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=ag(this.tertiaryColor,this.darkMode),this.primaryTextColor=Ii(this.primaryColor),this.secondaryTextColor=Ii(this.secondaryColor),this.tertiaryTextColor=Ii(this.tertiaryColor),this.lineColor=Ii(this.background),this.textColor=Ii(this.background),this.mainBkg="#1f2020",this.secondBkg="calculated",this.mainContrastColor="lightgrey",this.darkTextColor=bs(Ii("#323D47"),10),this.lineColor="calculated",this.border1="#81B1DB",this.border2=IA(255,255,255,.25),this.arrowheadColor="calculated",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#181818",this.textColor="#ccc",this.THEME\_COLOR\_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#F9FFFE",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="calculated",this.activationBkgColor="calculated",this.sequenceNumberColor="black",this.sectionBkgColor=js("#EAE8D9",30),this.altSectionBkgColor="calculated",this.sectionBkgColor2="#EAE8D9",this.excludeBkgColor=js(this.sectionBkgColor,10),this.taskBorderColor=IA(255,255,255,70),this.taskBkgColor="calculated",this.taskTextColor="calculated",this.taskTextLightColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor=IA(255,255,255,50),this.activeTaskBkgColor="#81B1DB",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="grey",this.critBorderColor="#E83737",this.critBkgColor="#E83737",this.taskTextDarkColor="calculated",this.todayLineColor="#DB5757",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="calculated",this.errorBkgColor="#a44141",this.errorTextColor="#ddd"}updateColors(){this.secondBkg=bs(this.mainBkg,16),this.lineColor=this.mainContrastColor,this.arrowheadColor=this.mainContrastColor,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.edgeLabelBackground=bs(this.labelBackground,25),this.actorBorder=this.border1,this.actorBkg=this.mainBkg,this.actorTextColor=this.mainContrastColor,this.actorLineColor=this.mainContrastColor,this.signalColor=this.mainContrastColor,this.signalTextColor=this.mainContrastColor,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.mainContrastColor,this.loopTextColor=this.mainContrastColor,this.noteBorderColor=this.secondaryBorderColor,this.noteBkgColor=this.secondBkg,this.noteTextColor=this.secondaryTextColor,this.activationBorderColor=this.border1,this.activationBkgColor=this.secondBkg,this.altSectionBkgColor=this.background,this.taskBkgColor=bs(this.mainBkg,23),this.taskTextColor=this.darkTextColor,this.taskTextLightColor=this.mainContrastColor,this.taskTextOutsideColor=this.taskTextLightColor,this.gridColor=this.mainContrastColor,this.doneTaskBkgColor=this.mainContrastColor,this.taskTextDarkColor=this.darkTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#555",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#f4f4f4",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=xn(this.primaryColor,{h:64}),this.fillType3=xn(this.secondaryColor,{h:64}),this.fillType4=xn(this.primaryColor,{h:-64}),this.fillType5=xn(this.secondaryColor,{h:-64}),this.fillType6=xn(this.primaryColor,{h:128}),this.fillType7=xn(this.secondaryColor,{h:128}),this.cScale1=this.cScale1||"#0b0000",this.cScale2=this.cScale2||"#4d1037",this.cScale3=this.cScale3||"#3f5258",this.cScale4=this.cScale4||"#4f2f1b",this.cScale5=this.cScale5||"#6e0a0a",this.cScale6=this.cScale6||"#3b0048",this.cScale7=this.cScale7||"#995a01",this.cScale8=this.cScale8||"#154706",this.cScale9=this.cScale9||"#161722",this.cScale10=this.cScale10||"#00296f",this.cScale11=this.cScale11||"#01629c",this.cScale12=this.cScale12||"#010029",this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||xn(this.primaryColor,{h:30}),this.cScale4=this.cScale4||xn(this.primaryColor,{h:60}),this.cScale5=this.cScale5||xn(this.primaryColor,{h:90}),this.cScale6=this.cScale6||xn(this.primaryColor,{h:120}),this.cScale7=this.cScale7||xn(this.primaryColor,{h:150}),this.cScale8=this.cScale8||xn(this.primaryColor,{h:210}),this.cScale9=this.cScale9||xn(this.primaryColor,{h:270}),this.cScale10=this.cScale10||xn(this.primaryColor,{h:300}),this.cScale11=this.cScale11||xn(this.primaryColor,{h:330});for(let a=0;a{this\[p\]=a\[p\]}),this.updateColors(),f.forEach(p=>{this\[p\]=a\[p\]})}};const UTe=i=>{const a=new VTe;return a.calculate(i),a};let WTe=class{constructor(){this.background="#f4f4f4",this.primaryColor="#ECECFF",this.secondaryColor=xn(this.primaryColor,{h:120}),this.secondaryColor="#ffffde",this.tertiaryColor=xn(this.primaryColor,{h:-160}),this.primaryBorderColor=ag(this.primaryColor,this.darkMode),this.secondaryBorderColor=ag(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=ag(this.tertiaryColor,this.darkMode),this.primaryTextColor=Ii(this.primaryColor),this.secondaryTextColor=Ii(this.secondaryColor),this.tertiaryTextColor=Ii(this.tertiaryColor),this.lineColor=Ii(this.background),this.textColor=Ii(this.background),this.background="white",this.mainBkg="#ECECFF",this.secondBkg="#ffffde",this.lineColor="#333333",this.border1="#9370DB",this.border2="#aaaa33",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#e8e8e8",this.textColor="#333",this.THEME\_COLOR\_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="calculated",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="calculated",this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor="calculated",this.taskTextOutsideColor=this.taskTextDarkColor,this.taskTextClickableColor="calculated",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBorderColor="calculated",this.critBkgColor="calculated",this.todayLineColor="calculated",this.sectionBkgColor=IA(102,102,255,.49),this.altSectionBkgColor="white",this.sectionBkgColor2="#fff400",this.taskBorderColor="#534fbc",this.taskBkgColor="#8a90dd",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="#534fbc",this.activeTaskBkgColor="#bfc7ff",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222",this.updateColors()}updateColors(){this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||xn(this.primaryColor,{h:30}),this.cScale4=this.cScale4||xn(this.primaryColor,{h:60}),this.cScale5=this.cScale5||xn(this.primaryColor,{h:90}),this.cScale6=this.cScale6||xn(this.primaryColor,{h:120}),this.cScale7=this.cScale7||xn(this.primaryColor,{h:150}),this.cScale8=this.cScale8||xn(this.primaryColor,{h:210}),this.cScale9=this.cScale9||xn(this.primaryColor,{h:270}),this.cScale10=this.cScale10||xn(this.primaryColor,{h:300}),this.cScale11=this.cScale11||xn(this.primaryColor,{h:330}),this\["cScalePeer1"\]=this\["cScalePeer1"\]||js(this.secondaryColor,45),this\["cScalePeer2"\]=this\["cScalePeer2"\]||js(this.tertiaryColor,40);for(let a=0;a{this\[p\]=a\[p\]}),this.updateColors(),f.forEach(p=>{this\[p\]=a\[p\]})}};const nDt=i=>{const a=new WTe;return a.calculate(i),a};let KTe=class{constructor(){this.background="#f4f4f4",this.primaryColor="#cde498",this.secondaryColor="#cdffb2",this.background="white",this.mainBkg="#cde498",this.secondBkg="#cdffb2",this.lineColor="green",this.border1="#13540c",this.border2="#6eaa49",this.arrowheadColor="green",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.tertiaryColor=bs("#cde498",10),this.primaryBorderColor=ag(this.primaryColor,this.darkMode),this.secondaryBorderColor=ag(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=ag(this.tertiaryColor,this.darkMode),this.primaryTextColor=Ii(this.primaryColor),this.secondaryTextColor=Ii(this.secondaryColor),this.tertiaryTextColor=Ii(this.primaryColor),this.lineColor=Ii(this.background),this.textColor=Ii(this.background),this.THEME\_COLOR\_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#333",this.edgeLabelBackground="#e8e8e8",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="#333",this.signalTextColor="#333",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="#326932",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="#6eaa49",this.altSectionBkgColor="white",this.sectionBkgColor2="#6eaa49",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="#487e3a",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.actorBorder=js(this.mainBkg,20),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||xn(this.primaryColor,{h:30}),this.cScale4=this.cScale4||xn(this.primaryColor,{h:60}),this.cScale5=this.cScale5||xn(this.primaryColor,{h:90}),this.cScale6=this.cScale6||xn(this.primaryColor,{h:120}),this.cScale7=this.cScale7||xn(this.primaryColor,{h:150}),this.cScale8=this.cScale8||xn(this.primaryColor,{h:210}),this.cScale9=this.cScale9||xn(this.primaryColor,{h:270}),this.cScale10=this.cScale10||xn(this.primaryColor,{h:300}),this.cScale11=this.cScale11||xn(this.primaryColor,{h:330}),this\["cScalePeer1"\]=this\["cScalePeer1"\]||js(this.secondaryColor,45),this\["cScalePeer2"\]=this\["cScalePeer2"\]||js(this.tertiaryColor,40);for(let a=0;a{this\[p\]=a\[p\]}),this.updateColors(),f.forEach(p=>{this\[p\]=a\[p\]})}};const YTe=i=>{const a=new KTe;return a.calculate(i),a};class XTe{constructor(){this.primaryColor="#eee",this.contrast="#707070",this.secondaryColor=bs(this.contrast,55),this.background="#ffffff",this.tertiaryColor=xn(this.primaryColor,{h:-160}),this.primaryBorderColor=ag(this.primaryColor,this.darkMode),this.secondaryBorderColor=ag(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=ag(this.tertiaryColor,this.darkMode),this.primaryTextColor=Ii(this.primaryColor),this.secondaryTextColor=Ii(this.secondaryColor),this.tertiaryTextColor=Ii(this.tertiaryColor),this.lineColor=Ii(this.background),this.textColor=Ii(this.background),this.mainBkg="#eee",this.secondBkg="calculated",this.lineColor="#666",this.border1="#999",this.border2="calculated",this.note="#ffa",this.text="#333",this.critical="#d42",this.done="#bbb",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, 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76:this.$="";break}},table:\[{3:1,4:2,5:3,6:\[1,5\],7:\[1,6\],8:\[1,7\],9:\[1,8\],10:4,11:\[1,9\],15:\[1,10\],16:\[1,11\],17:\[1,12\],18:\[1,13\]},{1:\[3\]},{1:\[2,1\]},{1:\[2,2\]},{1:\[2,7\]},{1:\[2,3\]},{1:\[2,4\]},{1:\[2,5\]},{1:\[2,6\]},{12:\[1,14\]},{12:\[1,15\]},{12:\[1,16\]},{12:\[1,17\]},{12:\[1,18\]},{13:19,19:20,20:21,21:22,22:a,23:f,24:p,26:v,28:m,29:49,30:61,32:62,34:b,36:E,37:\_,38:L,39:N,40:B,41:j,43:23,44:R,45:z,46:K,47:it,48:st,49:ut,50:bt,51:mt,52:yt,53:dt,54:ht,55:wt,56:X,57:pt,58:U,59:xt,60:nt,61:Ot,62:Nt,63:qt,64:Ct,65:Z,66:Tt,67:Ht,68:It,69:Ft,70:ke,71:pn,72:Me,73:ve,74:Ge},{13:70,19:20,20:21,21:22,22:a,23:f,24:p,26:v,28:m,29:49,30:61,32:62,34:b,36:E,37:\_,38:L,39:N,40:B,41:j,43:23,44:R,45:z,46:K,47:it,48:st,49:ut,50:bt,51:mt,52:yt,53:dt,54:ht,55:wt,56:X,57:pt,58:U,59:xt,60:nt,61:Ot,62:Nt,63:qt,64:Ct,65:Z,66:Tt,67:Ht,68:It,69:Ft,70:ke,71:pn,72:Me,73:ve,74:Ge},{13:71,19:20,20:21,21:22,22:a,23:f,24:p,26:v,28:m,29:49,30:61,32:62,34:b,36:E,37:\_,38:L,39:N,40:B,41:j,43:23,44:R,45:z,46:K,47:it,48:st,49:ut,50:bt,51:mt,52:yt,53:dt,54:ht,55:wt,56:X,57:pt,58:U,59:xt,60:nt,61:Ot,62:Nt,63:qt,64:Ct,65:Z,66:Tt,67:Ht,68:It,69:Ft,70:ke,71:pn,72:Me,73:ve,74:Ge},{13:72,19:20,20:21,21:22,22:a,23:f,24:p,26:v,28:m,29:49,30:61,32:62,34:b,36:E,37:\_,38:L,39:N,40:B,41:j,43:23,44:R,45:z,46:K,47:it,48:st,49:ut,50:bt,51:mt,52:yt,53:dt,54:ht,55:wt,56:X,57:pt,58:U,59:xt,60:nt,61:Ot,62:Nt,63:qt,64:Ct,65:Z,66:Tt,67:Ht,68:It,69:Ft,70:ke,71:pn,72:Me,73:ve,74:Ge},{13:73,19:20,20:21,21:22,22:a,23:f,24:p,26:v,28:m,29:49,30:61,32:62,34:b,36:E,37:\_,38:L,39:N,40:B,41:j,43:23,44:R,45:z,46:K,47:it,48:st,49:ut,50:bt,51:mt,52:yt,53:dt,54:ht,55:wt,56:X,57:pt,58:U,59:xt,60:nt,61:Ot,62:Nt,63:qt,64:Ct,65:Z,66:Tt,67:Ht,68:It,69:Ft,70:ke,71:pn,72:Me,73:ve,74:Ge},{14:\[1,74\]},i(Ke,\[2,13\],{43:23,29:49,30:61,32:62,20:75,34:b,36:E,37:\_,38:L,39:N,40:B,41:j,44:R,45:z,46:K,47:it,48:st,49:ut,50:bt,51:mt,52:yt,53:dt,54:ht,55:wt,56:X,57:pt,58:U,59:xt,60:nt,61:Ot,62:Nt,63:qt,64:Ct,65:Z,66:Tt,67:Ht,68:It,69:Ft,70:ke,71:pn,72:Me,73:ve,74:Ge}),i(Ke,\[2,14\]),i(we,\[2,16\],{12:\[1,76\]}),i(Ke,\[2,36\],{12:\[1,77\]}),i(\_e,\[2,19\]),i(\_e,\[2,20\]),{25:\[1,78\]},{27:\[1,79\]},i(\_e,\[2,23\]),{35:80,75:81,76:$t,77:re,79:ie,80:Oe},{35:86,75:81,76:$t,77:re,79:ie,80:Oe},{35:87,75:81,76:$t,77:re,79:ie,80:Oe},{35:88,75:81,76:$t,77:re,79:ie,80:Oe},{35:89,75:81,76:$t,77:re,79:ie,80:Oe},{35:90,75:81,76:$t,77:re,79:ie,80:Oe},{35:91,75:81,76:$t,77:re,79:ie,80:Oe},{35:92,75:81,76:$t,77:re,79:ie,80:Oe},{35:93,75:81,76:$t,77:re,79:ie,80:Oe},{35:94,75:81,76:$t,77:re,79:ie,80:Oe},{35:95,75:81,76:$t,77:re,79:ie,80:Oe},{35:96,75:81,76:$t,77:re,79:ie,80:Oe},{35:97,75:81,76:$t,77:re,79:ie,80:Oe},{35:98,75:81,76:$t,77:re,79:ie,80:Oe},{35:99,75:81,76:$t,77:re,79:ie,80:Oe},{35:100,75:81,76:$t,77:re,79:ie,80:Oe},{35:101,75:81,76:$t,77:re,79:ie,80:Oe},{35:102,75:81,76:$t,77:re,79:ie,80:Oe},{35:103,75:81,76:$t,77:re,79:ie,80:Oe},{35:104,75:81,76:$t,77:re,79:ie,80:Oe},i(oe,\[2,59\]),{35:105,75:81,76:$t,77:re,79:ie,80:Oe},{35:106,75:81,76:$t,77:re,79:ie,80:Oe},{35:107,75:81,76:$t,77:re,79:ie,80:Oe},{35:108,75:81,76:$t,77:re,79:ie,80:Oe},{35:109,75:81,76:$t,77:re,79:ie,80:Oe},{35:110,75:81,76:$t,77:re,79:ie,80:Oe},{35:111,75:81,76:$t,77:re,79:ie,80:Oe},{35:112,75:81,76:$t,77:re,79:ie,80:Oe},{35:113,75:81,76:$t,77:re,79:ie,80:Oe},{35:114,75:81,76:$t,77:re,79:ie,80:Oe},{35:115,75:81,76:$t,77:re,79:ie,80:Oe},{20:116,29:49,30:61,32:62,34:b,36:E,37:\_,38:L,39:N,40:B,41:j,43:23,44:R,45:z,46:K,47:it,48:st,49:ut,50:bt,51:mt,52:yt,53:dt,54:ht,55:wt,56:X,57:pt,58:U,59:xt,60:nt,61:Ot,62:Nt,63:qt,64:Ct,65:Z,66:Tt,67:Ht,68:It,69:Ft,70:ke,71:pn,72:Me,73:ve,74:Ge},{12:\[1,118\],33:\[1,117\]},{35:119,75:81,76:$t,77:re,79:ie,80:Oe},{35:120,75:81,76:$t,77:re,79:ie,80:Oe},{35:121,75:81,76:$t,77:re,79:ie,80:Oe},{35:122,75:81,76:$t,77:re,79:ie,80:Oe},{35:123,75:81,76:$t,77:re,79:ie,80:Oe},{35:124,75:81,76:$t,77:re,79:ie,80:Oe},{35:125,75:81,76:$t,77:re,79:ie,80:Oe},{14:\[1,126\]},{14:\[1,127\]},{14:\[1,128\]},{14:\[1,129\]},{1:\[2,8\]},i(Ke,\[2,15\]),i(we,\[2,17\],{21:22,19:130,22:a,23:f,24:p,26:v,28:m}),i(Ke,\[2,37\],{19:20,20:21,21:22,43:23,29:49,30:61,32:62,13:131,22:a,23:f,24:p,26:v,28:m,34:b,36:E,37:\_,38:L,39:N,40:B,41:j,44:R,45:z,46:K,47:it,48:st,49:ut,50:bt,51:mt,52:yt,53:dt,54:ht,55:wt,56:X,57:pt,58:U,59:xt,60:nt,61:Ot,62:Nt,63:qt,64:Ct,65:Z,66:Tt,67:Ht,68:It,69:Ft,70:ke,71:pn,72:Me,73:ve,74:Ge}),i(\_e,\[2,21\]),i(\_e,\[2,22\]),i(oe,\[2,39\]),i(Ne,\[2,71\],{75:81,35:132,76:$t,77:re,79:ie,80:Oe}),i(me,\[2,73\]),{78:\[1,133\]},i(me,\[2,75\]),i(me,\[2,76\]),i(oe,\[2,40\]),i(oe,\[2,41\]),i(oe,\[2,42\]),i(oe,\[2,43\]),i(oe,\[2,44\]),i(oe,\[2,45\]),i(oe,\[2,46\]),i(oe,\[2,47\]),i(oe,\[2,48\]),i(oe,\[2,49\]),i(oe,\[2,50\]),i(oe,\[2,51\]),i(oe,\[2,52\]),i(oe,\[2,53\]),i(oe,\[2,54\]),i(oe,\[2,55\]),i(oe,\[2,56\]),i(oe,\[2,57\]),i(oe,\[2,58\]),i(oe,\[2,60\]),i(oe,\[2,61\]),i(oe,\[2,62\]),i(oe,\[2,63\]),i(oe,\[2,64\]),i(oe,\[2,65\]),i(oe,\[2,66\]),i(oe,\[2,67\]),i(oe,\[2,68\]),i(oe,\[2,69\]),i(oe,\[2,70\]),{31:134,42:\[1,135\]},{12:\[1,136\]},{33:\[1,137\]},i(cn,\[2,28\]),i(cn,\[2,29\]),i(cn,\[2,30\]),i(cn,\[2,31\]),i(cn,\[2,32\]),i(cn,\[2,33\]),i(cn,\[2,34\]),{1:\[2,9\]},{1:\[2,10\]},{1:\[2,11\]},{1:\[2,12\]},i(we,\[2,18\]),i(Ke,\[2,38\]),i(Ne,\[2,72\]),i(me,\[2,74\]),i(oe,\[2,24\]),i(oe,\[2,35\]),i(li,\[2,25\]),i(li,\[2,26\],{12:\[1,138\]}),i(li,\[2,27\])\],defaultActions:{2:\[2,1\],3:\[2,2\],4:\[2,7\],5:\[2,3\],6:\[2,4\],7:\[2,5\],8:\[2,6\],74:\[2,8\],126:\[2,9\],127:\[2,10\],128:\[2,11\],129:\[2,12\]},parseError:function(Dr,nr){if(nr.recoverable)this.trace(Dr);else{var di=new Error(Dr);throw di.hash=nr,di}},parse:function(Dr){var nr=this,di=\[0\],Ee=\[\],Yn=\[null\],He=\[\],Ti=this.table,gn="",ks=0,qa=0,La=2,Gs=1,No=He.slice.call(arguments,1),vs=Object.create(this.lexer),nu={yy:{}};for(var $s in this.yy)Object.prototype.hasOwnProperty.call(this.yy,$s)&&(nu.yy\[$s\]=this.yy\[$s\]);vs.setInput(Dr,nu.yy),nu.yy.lexer=vs,nu.yy.parser=this,typeof vs.yylloc>"u"&&(vs.yylloc={});var Lu=vs.yylloc;He.push(Lu);var fm=vs.options&&vs.options.ranges;typeof nu.yy.parseError=="function"?this.parseError=nu.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function av(){var Ll;return Ll=Ee.pop()||vs.lex()||Gs,typeof Ll!="number"&&(Ll instanceof Array&&(Ee=Ll,Ll=Ee.pop()),Ll=nr.symbols\_\[Ll\]||Ll),Ll}for(var Uu,Zl,Pa,Al,ua={},bc,Cc,ga,Ma;;){if(Zl=di\[di.length-1\],this.defaultActions\[Zl\]?Pa=this.defaultActions\[Zl\]:((Uu===null||typeof Uu>"u")&&(Uu=av()),Pa=Ti\[Zl\]&&Ti\[Zl\]\[Uu\]),typeof Pa>"u"||!Pa.length||!Pa\[0\]){var Ha="";Ma=\[\];for(bc in Ti\[Zl\])this.terminals\_\[bc\]&&bc>La&&Ma.push("'"+this.terminals\_\[bc\]+"'");vs.showPosition?Ha="Parse error on line "+(ks+1)+\`: \`+vs.showPosition()+\` Expecting \`+Ma.join(", ")+", got '"+(this.terminals\_\[Uu\]||Uu)+"'":Ha="Parse error on line "+(ks+1)+": Unexpected "+(Uu==Gs?"end of input":"'"+(this.terminals\_\[Uu\]||Uu)+"'"),this.parseError(Ha,{text:vs.match,token:this.terminals\_\[Uu\]||Uu,line:vs.yylineno,loc:Lu,expected:Ma})}if(Pa\[0\]instanceof Array&&Pa.length>1)throw new Error("Parse Error: multiple actions possible at state: "+Zl+", token: "+Uu);switch(Pa\[0\]){case 1:di.push(Uu),Yn.push(vs.yytext),He.push(vs.yylloc),di.push(Pa\[1\]),Uu=null,qa=vs.yyleng,gn=vs.yytext,ks=vs.yylineno,Lu=vs.yylloc;break;case 2:if(Cc=this.productions\_\[Pa\[1\]\]\[1\],ua.$=Yn\[Yn.length-Cc\],ua.\_$={first\_line:He\[He.length-(Cc||1)\].first\_line,last\_line:He\[He.length-1\].last\_line,first\_column:He\[He.length-(Cc||1)\].first\_column,last\_column:He\[He.length-1\].last\_column},fm&&(ua.\_$.range=\[He\[He.length-(Cc||1)\].range\[0\],He\[He.length-1\].range\[1\]\]),Al=this.performAction.apply(ua,\[gn,qa,ks,nu.yy,Pa\[1\],Yn,He\].concat(No)),typeof Al<"u")return Al;Cc&&(di=di.slice(0,-1\*Cc\*2),Yn=Yn.slice(0,-1\*Cc),He=He.slice(0,-1\*Cc)),di.push(this.productions\_\[Pa\[1\]\]\[0\]),Yn.push(ua.$),He.push(ua.\_$),ga=Ti\[di\[di.length-2\]\]\[di\[di.length-1\]\],di.push(ga);break;case 3:return!0}}return!0}},da=function(){var ds={EOF:1,parseError:function(nr,di){if(this.yy.parser)this.yy.parser.parseError(nr,di);else throw new Error(nr)},setInput:function(Dr,nr){return this.yy=nr||this.yy||{},this.\_input=Dr,this.\_more=this.\_backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=\["INITIAL"\],this.yylloc={first\_line:1,first\_column:0,last\_line:1,last\_column:0},this.options.ranges&&(this.yylloc.range=\[0,0\]),this.offset=0,this},input:function(){var Dr=this.\_input\[0\];this.yytext+=Dr,this.yyleng++,this.offset++,this.match+=Dr,this.matched+=Dr;var nr=Dr.match(/(?:\\r\\n?|\\n).\*/g);return nr?(this.yylineno++,this.yylloc.last\_line++):this.yylloc.last\_column++,this.options.ranges&&this.yylloc.range\[1\]++,this.\_input=this.\_input.slice(1),Dr},unput:function(Dr){var nr=Dr.length,di=Dr.split(/(?:\\r\\n?|\\n)/g);this.\_input=Dr+this.\_input,this.yytext=this.yytext.substr(0,this.yytext.length-nr),this.offset-=nr;var Ee=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),di.length-1&&(this.yylineno-=di.length-1);var Yn=this.yylloc.range;return this.yylloc={first\_line:this.yylloc.first\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.first\_column,last\_column:di?(di.length===Ee.length?this.yylloc.first\_column:0)+Ee\[Ee.length-di.length\].length-di\[0\].length:this.yylloc.first\_column-nr},this.options.ranges&&(this.yylloc.range=\[Yn\[0\],Yn\[0\]+this.yyleng-nr\]),this.yyleng=this.yytext.length,this},more:function(){return this.\_more=!0,this},reject:function(){if(this.options.backtrack\_lexer)this.\_backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+\`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack\_lexer = true). \`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(Dr){this.unput(this.match.slice(Dr))},pastInput:function(){var Dr=this.matched.substr(0,this.matched.length-this.match.length);return(Dr.length>20?"...":"")+Dr.substr(-20).replace(/\\n/g,"")},upcomingInput:function(){var Dr=this.match;return Dr.length<20&&(Dr+=this.\_input.substr(0,20-Dr.length)),(Dr.substr(0,20)+(Dr.length>20?"...":"")).replace(/\\n/g,"")},showPosition:function(){var Dr=this.pastInput(),nr=new Array(Dr.length+1).join("-");return Dr+this.upcomingInput()+\` \`+nr+"^"},test\_match:function(Dr,nr){var di,Ee,Yn;if(this.options.backtrack\_lexer&&(Yn={yylineno:this.yylineno,yylloc:{first\_line:this.yylloc.first\_line,last\_line:this.last\_line,first\_column:this.yylloc.first\_column,last\_column:this.yylloc.last\_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,\_more:this.\_more,\_input:this.\_input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(Yn.yylloc.range=this.yylloc.range.slice(0))),Ee=Dr\[0\].match(/(?:\\r\\n?|\\n).\*/g),Ee&&(this.yylineno+=Ee.length),this.yylloc={first\_line:this.yylloc.last\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.last\_column,last\_column:Ee?Ee\[Ee.length-1\].length-Ee\[Ee.length-1\].match(/\\r?\\n?/)\[0\].length:this.yylloc.last\_column+Dr\[0\].length},this.yytext+=Dr\[0\],this.match+=Dr\[0\],this.matches=Dr,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=\[this.offset,this.offset+=this.yyleng\]),this.\_more=!1,this.\_backtrack=!1,this.\_input=this.\_input.slice(Dr\[0\].length),this.matched+=Dr\[0\],di=this.performAction.call(this,this.yy,this,nr,this.conditionStack\[this.conditionStack.length-1\]),this.done&&this.\_input&&(this.done=!1),di)return di;if(this.\_backtrack){for(var He in Yn)this\[He\]=Yn\[He\];return!1}return!1},next:function(){if(this.done)return this.EOF;this.\_input||(this.done=!0);var Dr,nr,di,Ee;this.\_more||(this.yytext="",this.match="");for(var Yn=this.\_currentRules(),He=0;Henr\[0\].length)){if(nr=di,Ee=He,this.options.backtrack\_lexer){if(Dr=this.test\_match(di,Yn\[He\]),Dr!==!1)return Dr;if(this.\_backtrack){nr=!1;continue}else return!1}else if(!this.options.flex)break}return nr?(Dr=this.test\_match(nr,Yn\[Ee\]),Dr!==!1?Dr:!1):this.\_input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+\`. Unrecognized text. \`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var nr=this.next();return nr||this.lex()},begin:function(nr){this.conditionStack.push(nr)},popState:function(){var nr=this.conditionStack.length-1;return nr>0?this.conditionStack.pop():this.conditionStack\[0\]},\_currentRules:function(){return this.conditionStack.length&&this.conditionStack\[this.conditionStack.length-1\]?this.conditions\[this.conditionStack\[this.conditionStack.length-1\]\].rules:this.conditions.INITIAL.rules},topState:function(nr){return nr=this.conditionStack.length-1-Math.abs(nr||0),nr>=0?this.conditionStack\[nr\]:"INITIAL"},pushState:function(nr){this.begin(nr)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(nr,di,Ee,Yn){switch(Ee){case 0:return 6;case 1:return 7;case 2:return 8;case 3:return 9;case 4:return 22;case 5:return 23;case 6:return this.begin("acc\_title"),24;case 7:return 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this.begin("container\_ext\_db"),56;case 35:return this.begin("container\_ext"),55;case 36:return this.begin("container\_queue"),54;case 37:return this.begin("container\_db"),53;case 38:return this.begin("container"),52;case 39:return this.begin("container\_boundary"),38;case 40:return this.begin("component\_ext\_queue"),63;case 41:return this.begin("component\_ext\_db"),62;case 42:return this.begin("component\_ext"),61;case 43:return this.begin("component\_queue"),60;case 44:return this.begin("component\_db"),59;case 45:return this.begin("component"),58;case 46:return this.begin("node"),39;case 47:return this.begin("node"),39;case 48:return this.begin("node\_l"),40;case 49:return this.begin("node\_r"),41;case 50:return this.begin("rel"),64;case 51:return this.begin("birel"),65;case 52:return this.begin("rel\_u"),66;case 53:return this.begin("rel\_u"),66;case 54:return this.begin("rel\_d"),67;case 55:return this.begin("rel\_d"),67;case 56:return this.begin("rel\_l"),68;case 57:return 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113:this.$=Ce\[Be-5\],xi.setLink(Ce\[Be-5\],Ce\[Be-4\],Ce\[Be\]),xi.setTooltip(Ce\[Be-5\],Ce\[Be-2\]);break;case 114:this.$=Ce\[Be-4\],xi.addVertex(Ce\[Be-2\],void 0,void 0,Ce\[Be\]);break;case 115:this.$=Ce\[Be-4\],xi.updateLink(\[Ce\[Be-2\]\],Ce\[Be\]);break;case 116:this.$=Ce\[Be-4\],xi.updateLink(Ce\[Be-2\],Ce\[Be\]);break;case 117:this.$=Ce\[Be-8\],xi.updateLinkInterpolate(\[Ce\[Be-6\]\],Ce\[Be-2\]),xi.updateLink(\[Ce\[Be-6\]\],Ce\[Be\]);break;case 118:this.$=Ce\[Be-8\],xi.updateLinkInterpolate(Ce\[Be-6\],Ce\[Be-2\]),xi.updateLink(Ce\[Be-6\],Ce\[Be\]);break;case 119:this.$=Ce\[Be-6\],xi.updateLinkInterpolate(\[Ce\[Be-4\]\],Ce\[Be\]);break;case 120:this.$=Ce\[Be-6\],xi.updateLinkInterpolate(Ce\[Be-4\],Ce\[Be\]);break;case 121:case 123:this.$=\[Ce\[Be\]\];break;case 122:case 124:Ce\[Be-2\].push(Ce\[Be\]),this.$=Ce\[Be-2\];break;case 126:this.$=Ce\[Be-1\]+Ce\[Be\];break;case 174:this.$=Ce\[Be\];break;case 175:this.$=Ce\[Be-1\]+""+Ce\[Be\];break;case 177:this.$=Ce\[Be-1\]+""+Ce\[Be\];break;case 178:this.$={stmt:"dir",value:"TB"};break;case 179:this.$={stmt:"dir",value:"BT"};break;case 180:this.$={stmt:"dir",value:"RL"};break;case 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xa=new Error(Xi);throw xa.hash=Es,xa}},parse:function(Xi){var Es=this,xa=\[0\],xi=\[\],Wc=\[null\],Ce=\[\],gp=this.table,Be="",Ff=0,dg=0,dm=2,pk=1,x3=Ce.slice.call(arguments,1),Ml=Object.create(this.lexer),T0={yy:{}};for(var cv in this.yy)Object.prototype.hasOwnProperty.call(this.yy,cv)&&(T0.yy\[cv\]=this.yy\[cv\]);Ml.setInput(Xi,T0.yy),T0.yy.lexer=Ml,T0.yy.parser=this,typeof Ml.yylloc>"u"&&(Ml.yylloc={});var F5=Ml.yylloc;Ce.push(F5);var jb=Ml.options&&Ml.options.ranges;typeof T0.yy.parseError=="function"?this.parseError=T0.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function B5(){var gg;return gg=xi.pop()||Ml.lex()||pk,typeof gg!="number"&&(gg instanceof Array&&(xi=gg,gg=xi.pop()),gg=Es.symbols\_\[gg\]||gg),gg}for(var l1,td,ed,R5,uv={},j5,pp,$5,k3;;){if(td=xa\[xa.length-1\],this.defaultActions\[td\]?ed=this.defaultActions\[td\]:((l1===null||typeof l1>"u")&&(l1=B5()),ed=gp\[td\]&&gp\[td\]\[l1\]),typeof ed>"u"||!ed.length||!ed\[0\]){var gm="";k3=\[\];for(j5 in gp\[td\])this.terminals\_\[j5\]&&j5>dm&&k3.push("'"+this.terminals\_\[j5\]+"'");Ml.showPosition?gm="Parse error on line "+(Ff+1)+\`: \`+Ml.showPosition()+\` Expecting \`+k3.join(", ")+", got '"+(this.terminals\_\[l1\]||l1)+"'":gm="Parse error on line "+(Ff+1)+": Unexpected "+(l1==pk?"end of input":"'"+(this.terminals\_\[l1\]||l1)+"'"),this.parseError(gm,{text:Ml.match,token:this.terminals\_\[l1\]||l1,line:Ml.yylineno,loc:F5,expected:k3})}if(ed\[0\]instanceof Array&&ed.length>1)throw new Error("Parse Error: multiple actions possible at state: "+td+", token: "+l1);switch(ed\[0\]){case 1:xa.push(l1),Wc.push(Ml.yytext),Ce.push(Ml.yylloc),xa.push(ed\[1\]),l1=null,dg=Ml.yyleng,Be=Ml.yytext,Ff=Ml.yylineno,F5=Ml.yylloc;break;case 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this.yy=Es||this.yy||{},this.\_input=Xi,this.\_more=this.\_backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=\["INITIAL"\],this.yylloc={first\_line:1,first\_column:0,last\_line:1,last\_column:0},this.options.ranges&&(this.yylloc.range=\[0,0\]),this.offset=0,this},input:function(){var Xi=this.\_input\[0\];this.yytext+=Xi,this.yyleng++,this.offset++,this.match+=Xi,this.matched+=Xi;var Es=Xi.match(/(?:\\r\\n?|\\n).\*/g);return Es?(this.yylineno++,this.yylloc.last\_line++):this.yylloc.last\_column++,this.options.ranges&&this.yylloc.range\[1\]++,this.\_input=this.\_input.slice(1),Xi},unput:function(Xi){var Es=Xi.length,xa=Xi.split(/(?:\\r\\n?|\\n)/g);this.\_input=Xi+this.\_input,this.yytext=this.yytext.substr(0,this.yytext.length-Es),this.offset-=Es;var xi=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),xa.length-1&&(this.yylineno-=xa.length-1);var Wc=this.yylloc.range;return this.yylloc={first\_line:this.yylloc.first\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.first\_column,last\_column:xa?(xa.length===xi.length?this.yylloc.first\_column:0)+xi\[xi.length-xa.length\].length-xa\[0\].length:this.yylloc.first\_column-Es},this.options.ranges&&(this.yylloc.range=\[Wc\[0\],Wc\[0\]+this.yyleng-Es\]),this.yyleng=this.yytext.length,this},more:function(){return this.\_more=!0,this},reject:function(){if(this.options.backtrack\_lexer)this.\_backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+\`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack\_lexer = true). \`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(Xi){this.unput(this.match.slice(Xi))},pastInput:function(){var Xi=this.matched.substr(0,this.matched.length-this.match.length);return(Xi.length>20?"...":"")+Xi.substr(-20).replace(/\\n/g,"")},upcomingInput:function(){var Xi=this.match;return Xi.length<20&&(Xi+=this.\_input.substr(0,20-Xi.length)),(Xi.substr(0,20)+(Xi.length>20?"...":"")).replace(/\\n/g,"")},showPosition:function(){var Xi=this.pastInput(),Es=new Array(Xi.length+1).join("-");return Xi+this.upcomingInput()+\` \`+Es+"^"},test\_match:function(Xi,Es){var xa,xi,Wc;if(this.options.backtrack\_lexer&&(Wc={yylineno:this.yylineno,yylloc:{first\_line:this.yylloc.first\_line,last\_line:this.last\_line,first\_column:this.yylloc.first\_column,last\_column:this.yylloc.last\_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,\_more:this.\_more,\_input:this.\_input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(Wc.yylloc.range=this.yylloc.range.slice(0))),xi=Xi\[0\].match(/(?:\\r\\n?|\\n).\*/g),xi&&(this.yylineno+=xi.length),this.yylloc={first\_line:this.yylloc.last\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.last\_column,last\_column:xi?xi\[xi.length-1\].length-xi\[xi.length-1\].match(/\\r?\\n?/)\[0\].length:this.yylloc.last\_column+Xi\[0\].length},this.yytext+=Xi\[0\],this.match+=Xi\[0\],this.matches=Xi,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=\[this.offset,this.offset+=this.yyleng\]),this.\_more=!1,this.\_backtrack=!1,this.\_input=this.\_input.slice(Xi\[0\].length),this.matched+=Xi\[0\],xa=this.performAction.call(this,this.yy,this,Es,this.conditionStack\[this.conditionStack.length-1\]),this.done&&this.\_input&&(this.done=!1),xa)return xa;if(this.\_backtrack){for(var Ce in Wc)this\[Ce\]=Wc\[Ce\];return!1}return!1},next:function(){if(this.done)return this.EOF;this.\_input||(this.done=!0);var Xi,Es,xa,xi;this.\_more||(this.yytext="",this.match="");for(var Wc=this.\_currentRules(),Ce=0;CeEs\[0\].length)){if(Es=xa,xi=Ce,this.options.backtrack\_lexer){if(Xi=this.test\_match(xa,Wc\[Ce\]),Xi!==!1)return Xi;if(this.\_backtrack){Es=!1;continue}else return!1}else if(!this.options.flex)break}return Es?(Xi=this.test\_match(Es,Wc\[xi\]),Xi!==!1?Xi:!1):this.\_input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+\`. Unrecognized text. \`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var Es=this.next();return Es||this.lex()},begin:function(Es){this.conditionStack.push(Es)},popState:function(){var Es=this.conditionStack.length-1;return Es>0?this.conditionStack.pop():this.conditionStack\[0\]},\_currentRules:function(){return this.conditionStack.length&&this.conditionStack\[this.conditionStack.length-1\]?this.conditions\[this.conditionStack\[this.conditionStack.length-1\]\].rules:this.conditions.INITIAL.rules},topState:function(Es){return Es=this.conditionStack.length-1-Math.abs(Es||0),Es>=0?this.conditionStack\[Es\]:"INITIAL"},pushState:function(Es){this.begin(Es)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(Es,xa,xi,Wc){switch(xi){case 0:return this.begin("acc\_title"),34;case 1:return this.popState(),"acc\_title\_value";case 2:return this.begin("acc\_descr"),36;case 3:return this.popState(),"acc\_descr\_value";case 4:this.begin("acc\_descr\_multiline");break;case 5:this.popState();break;case 6:return"acc\_descr\_multiline\_value";case 7:this.begin("callbackname");break;case 8:this.popState();break;case 9:this.popState(),this.begin("callbackargs");break;case 10:return 92;case 11:this.popState();break;case 12:return 93;case 13:return"MD\_STR";case 14:this.popState();break;case 15:this.begin("md\_string");break;case 16:return"STR";case 17:this.popState();break;case 18:this.pushState("string");break;case 19:return 81;case 20:return 99;case 21:return 82;case 22:return 101;case 23:return 83;case 24:return 84;case 25:return 94;case 26:this.begin("click");break;case 27:this.popState();break;case 28:return 85;case 29:return Es.lex.firstGraph()&&this.begin("dir"),12;case 30:return Es.lex.firstGraph()&&this.begin("dir"),12;case 31:return Es.lex.firstGraph()&&this.begin("dir"),12;case 32:return 27;case 33:return 32;case 34:return 95;case 35:return 95;case 36:return 95;case 37:return 95;case 38:return this.popState(),13;case 39:return this.popState(),14;case 40:return this.popState(),14;case 41:return this.popState(),14;case 42:return this.popState(),14;case 43:return this.popState(),14;case 44:return this.popState(),14;case 45:return this.popState(),14;case 46:return this.popState(),14;case 47:return this.popState(),14;case 48:return this.popState(),14;case 49:return 118;case 50:return 119;case 51:return 120;case 52:return 121;case 53:return 102;case 54:return 108;case 55:return 44;case 56:return 58;case 57:return 42;case 58:return 8;case 59:return 103;case 60:return 112;case 61:return this.popState(),75;case 62:return this.pushState("edgeText"),73;case 63:return 116;case 64:return this.popState(),75;case 65:return this.pushState("thickEdgeText"),73;case 66:return 116;case 67:return this.popState(),75;case 68:return this.pushState("dottedEdgeText"),73;case 69:return 116;case 70:return 75;case 71:return this.popState(),51;case 72:return"TEXT";case 73:return this.pushState("ellipseText"),50;case 74:return this.popState(),53;case 75:return this.pushState("text"),52;case 76:return this.popState(),55;case 77:return this.pushState("text"),54;case 78:return 56;case 79:return this.pushState("text"),65;case 80:return this.popState(),62;case 81:return this.pushState("text"),61;case 82:return this.popState(),47;case 83:return this.pushState("text"),46;case 84:return this.popState(),67;case 85:return this.popState(),69;case 86:return 114;case 87:return this.pushState("trapText"),66;case 88:return this.pushState("trapText"),68;case 89:return 115;case 90:return 65;case 91:return 87;case 92:return"SEP";case 93:return 86;case 94:return 112;case 95:return 108;case 96:return 42;case 97:return 106;case 98:return 111;case 99:return 113;case 100:return this.popState(),60;case 101:return this.pushState("text"),60;case 102:return this.popState(),49;case 103:return this.pushState("text"),48;case 104:return this.popState(),31;case 105:return this.pushState("text"),29;case 106:return this.popState(),64;case 107:return this.pushState("text"),63;case 108:return"TEXT";case 109:return"QUOTE";case 110:return 9;case 111:return 10;case 112:return 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B=\_.getBBox();N.attr("transform","translate("+-B.width/2+", "+-B.height/2+")"),Nd\[a.id\]||(Nd\[a.id\]={}),Nd\[a.id\].startLeft=L,mK(E,a.startLabelLeft)}if(a.startLabelRight){const \_=hp(a.startLabelRight,a.labelStyle),L=i.insert("g").attr("class","edgeTerminals"),N=L.insert("g").attr("class","inner");E=L.node().appendChild(\_),N.node().appendChild(\_);const B=\_.getBBox();N.attr("transform","translate("+-B.width/2+", "+-B.height/2+")"),Nd\[a.id\]||(Nd\[a.id\]={}),Nd\[a.id\].startRight=L,mK(E,a.startLabelRight)}if(a.endLabelLeft){const \_=hp(a.endLabelLeft,a.labelStyle),L=i.insert("g").attr("class","edgeTerminals"),N=L.insert("g").attr("class","inner");E=N.node().appendChild(\_);const B=\_.getBBox();N.attr("transform","translate("+-B.width/2+", "+-B.height/2+")"),L.node().appendChild(\_),Nd\[a.id\]||(Nd\[a.id\]={}),Nd\[a.id\].endLeft=L,mK(E,a.endLabelLeft)}if(a.endLabelRight){const \_=hp(a.endLabelRight,a.labelStyle),L=i.insert("g").attr("class","edgeTerminals"),N=L.insert("g").attr("class","inner");E=N.node().appendChild(\_);const B=\_.getBBox();N.attr("transform","translate("+-B.width/2+", "+-B.height/2+")"),L.node().appendChild(\_),Nd\[a.id\]||(Nd\[a.id\]={}),Nd\[a.id\].endRight=L,mK(E,a.endLabelRight)}return p};function mK(i,a){Le().flowchart.htmlLabels&&i&&(i.style.width=a.length\*9+"px",i.style.height="12px")}const S$e=(i,a)=>{Ut.info("Moving label abc78 ",i.id,i.label,wK\[i.id\]);let f=a.updatedPath?a.updatedPath:a.originalPath;if(i.label){const p=wK\[i.id\];let v=i.x,m=i.y;if(f){const b=$a.calcLabelPosition(f);Ut.info("Moving label "+i.label+" from (",v,",",m,") to (",b.x,",",b.y,") abc78"),a.updatedPath&&(v=b.x,m=b.y)}p.attr("transform","translate("+v+", "+m+")")}if(i.startLabelLeft){const p=Nd\[i.id\].startLeft;let v=i.x,m=i.y;if(f){const b=$a.calcTerminalLabelPosition(i.arrowTypeStart?10:0,"start\_left",f);v=b.x,m=b.y}p.attr("transform","translate("+v+", "+m+")")}if(i.startLabelRight){const p=Nd\[i.id\].startRight;let v=i.x,m=i.y;if(f){const b=$a.calcTerminalLabelPosition(i.arrowTypeStart?10:0,"start\_right",f);v=b.x,m=b.y}p.attr("transform","translate("+v+", "+m+")")}if(i.endLabelLeft){const p=Nd\[i.id\].endLeft;let v=i.x,m=i.y;if(f){const b=$a.calcTerminalLabelPosition(i.arrowTypeEnd?10:0,"end\_left",f);v=b.x,m=b.y}p.attr("transform","translate("+v+", "+m+")")}if(i.endLabelRight){const p=Nd\[i.id\].endRight;let v=i.x,m=i.y;if(f){const b=$a.calcTerminalLabelPosition(i.arrowTypeEnd?10:0,"end\_right",f);v=b.x,m=b.y}p.attr("transform","translate("+v+", "+m+")")}},A$e=(i,a)=>{const f=i.x,p=i.y,v=Math.abs(a.x-f),m=Math.abs(a.y-p),b=i.width/2,E=i.height/2;return v>=b||m>=E},L$e=(i,a,f)=>{Ut.warn(\`intersection calc abc89: outsidePoint: ${JSON.stringify(a)} insidePoint : ${JSON.stringify(f)} node : x:${i.x} y:${i.y} 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U=new Error(X);throw U.hash=pt,U}},parse:function(X){var pt=this,U=\[0\],xt=\[\],nt=\[null\],Ot=\[\],Nt=this.table,qt="",Ct=0,Z=0,Tt=2,Ht=1,It=Ot.slice.call(arguments,1),Ft=Object.create(this.lexer),ke={yy:{}};for(var pn in this.yy)Object.prototype.hasOwnProperty.call(this.yy,pn)&&(ke.yy\[pn\]=this.yy\[pn\]);Ft.setInput(X,ke.yy),ke.yy.lexer=Ft,ke.yy.parser=this,typeof Ft.yylloc>"u"&&(Ft.yylloc={});var Me=Ft.yylloc;Ot.push(Me);var ve=Ft.options&&Ft.options.ranges;typeof ke.yy.parseError=="function"?this.parseError=ke.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function Ge(){var cn;return cn=xt.pop()||Ft.lex()||Ht,typeof cn!="number"&&(cn instanceof Array&&(xt=cn,cn=xt.pop()),cn=pt.symbols\_\[cn\]||cn),cn}for(var Ke,we,\_e,$t,re={},ie,Oe,oe,Ne;;){if(we=U\[U.length-1\],this.defaultActions\[we\]?\_e=this.defaultActions\[we\]:((Ke===null||typeof Ke>"u")&&(Ke=Ge()),\_e=Nt\[we\]&&Nt\[we\]\[Ke\]),typeof \_e>"u"||!\_e.length||!\_e\[0\]){var me="";Ne=\[\];for(ie in Nt\[we\])this.terminals\_\[ie\]&&ie>Tt&&Ne.push("'"+this.terminals\_\[ie\]+"'");Ft.showPosition?me="Parse error on line "+(Ct+1)+\`: \`+Ft.showPosition()+\` Expecting \`+Ne.join(", ")+", got '"+(this.terminals\_\[Ke\]||Ke)+"'":me="Parse error on line "+(Ct+1)+": Unexpected "+(Ke==Ht?"end of input":"'"+(this.terminals\_\[Ke\]||Ke)+"'"),this.parseError(me,{text:Ft.match,token:this.terminals\_\[Ke\]||Ke,line:Ft.yylineno,loc:Me,expected:Ne})}if(\_e\[0\]instanceof Array&&\_e.length>1)throw new Error("Parse Error: multiple actions possible at state: "+we+", token: "+Ke);switch(\_e\[0\]){case 1:U.push(Ke),nt.push(Ft.yytext),Ot.push(Ft.yylloc),U.push(\_e\[1\]),Ke=null,Z=Ft.yyleng,qt=Ft.yytext,Ct=Ft.yylineno,Me=Ft.yylloc;break;case 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this.yy=pt||this.yy||{},this.\_input=X,this.\_more=this.\_backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=\["INITIAL"\],this.yylloc={first\_line:1,first\_column:0,last\_line:1,last\_column:0},this.options.ranges&&(this.yylloc.range=\[0,0\]),this.offset=0,this},input:function(){var X=this.\_input\[0\];this.yytext+=X,this.yyleng++,this.offset++,this.match+=X,this.matched+=X;var pt=X.match(/(?:\\r\\n?|\\n).\*/g);return pt?(this.yylineno++,this.yylloc.last\_line++):this.yylloc.last\_column++,this.options.ranges&&this.yylloc.range\[1\]++,this.\_input=this.\_input.slice(1),X},unput:function(X){var pt=X.length,U=X.split(/(?:\\r\\n?|\\n)/g);this.\_input=X+this.\_input,this.yytext=this.yytext.substr(0,this.yytext.length-pt),this.offset-=pt;var xt=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),U.length-1&&(this.yylineno-=U.length-1);var nt=this.yylloc.range;return this.yylloc={first\_line:this.yylloc.first\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.first\_column,last\_column:U?(U.length===xt.length?this.yylloc.first\_column:0)+xt\[xt.length-U.length\].length-U\[0\].length:this.yylloc.first\_column-pt},this.options.ranges&&(this.yylloc.range=\[nt\[0\],nt\[0\]+this.yyleng-pt\]),this.yyleng=this.yytext.length,this},more:function(){return this.\_more=!0,this},reject:function(){if(this.options.backtrack\_lexer)this.\_backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+\`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack\_lexer = true). \`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(X){this.unput(this.match.slice(X))},pastInput:function(){var X=this.matched.substr(0,this.matched.length-this.match.length);return(X.length>20?"...":"")+X.substr(-20).replace(/\\n/g,"")},upcomingInput:function(){var X=this.match;return X.length<20&&(X+=this.\_input.substr(0,20-X.length)),(X.substr(0,20)+(X.length>20?"...":"")).replace(/\\n/g,"")},showPosition:function(){var X=this.pastInput(),pt=new Array(X.length+1).join("-");return X+this.upcomingInput()+\` \`+pt+"^"},test\_match:function(X,pt){var U,xt,nt;if(this.options.backtrack\_lexer&&(nt={yylineno:this.yylineno,yylloc:{first\_line:this.yylloc.first\_line,last\_line:this.last\_line,first\_column:this.yylloc.first\_column,last\_column:this.yylloc.last\_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,\_more:this.\_more,\_input:this.\_input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(nt.yylloc.range=this.yylloc.range.slice(0))),xt=X\[0\].match(/(?:\\r\\n?|\\n).\*/g),xt&&(this.yylineno+=xt.length),this.yylloc={first\_line:this.yylloc.last\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.last\_column,last\_column:xt?xt\[xt.length-1\].length-xt\[xt.length-1\].match(/\\r?\\n?/)\[0\].length:this.yylloc.last\_column+X\[0\].length},this.yytext+=X\[0\],this.match+=X\[0\],this.matches=X,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=\[this.offset,this.offset+=this.yyleng\]),this.\_more=!1,this.\_backtrack=!1,this.\_input=this.\_input.slice(X\[0\].length),this.matched+=X\[0\],U=this.performAction.call(this,this.yy,this,pt,this.conditionStack\[this.conditionStack.length-1\]),this.done&&this.\_input&&(this.done=!1),U)return U;if(this.\_backtrack){for(var Ot in nt)this\[Ot\]=nt\[Ot\];return!1}return!1},next:function(){if(this.done)return this.EOF;this.\_input||(this.done=!0);var X,pt,U,xt;this.\_more||(this.yytext="",this.match="");for(var nt=this.\_currentRules(),Ot=0;Otpt\[0\].length)){if(pt=U,xt=Ot,this.options.backtrack\_lexer){if(X=this.test\_match(U,nt\[Ot\]),X!==!1)return X;if(this.\_backtrack){pt=!1;continue}else return!1}else if(!this.options.flex)break}return pt?(X=this.test\_match(pt,nt\[xt\]),X!==!1?X:!1):this.\_input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+\`. 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this.popState(),"acc\_descr\_value";case 4:this.begin("acc\_descr\_multiline");break;case 5:this.popState();break;case 6:return"acc\_descr\_multiline\_value";case 7:return 10;case 8:break;case 9:return 8;case 10:return 28;case 11:return 48;case 12:return 4;case 13:return this.begin("block"),15;case 14:return 36;case 15:break;case 16:return 37;case 17:return 34;case 18:return 34;case 19:return 38;case 20:break;case 21:return this.popState(),17;case 22:return U.yytext\[0\];case 23:return 18;case 24:return 19;case 25:return 41;case 26:return 43;case 27:return 43;case 28:return 43;case 29:return 41;case 30:return 41;case 31:return 42;case 32:return 42;case 33:return 42;case 34:return 42;case 35:return 42;case 36:return 43;case 37:return 42;case 38:return 43;case 39:return 44;case 40:return 44;case 41:return 44;case 42:return 44;case 43:return 41;case 44:return 42;case 45:return 43;case 46:return 45;case 47:return 46;case 48:return 47;case 49:return 47;case 50:return 46;case 51:return 46;case 52:return 46;case 53:return 27;case 54:return U.yytext\[0\];case 55:return 6}},rules:\[/^(?:accTitle\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*\\{\\s\*)/i,/^(?:\[\\}\])/i,/^(?:\[^\\}\]\*)/i,/^(?:\[\\n\]+)/i,/^(?:\\s+)/i,/^(?:\[\\s\]+)/i,/^(?:"\[^"%\\r\\n\\v\\b\\\\\]+")/i,/^(?:"\[^"\]\*")/i,/^(?:erDiagram\\b)/i,/^(?:\\{)/i,/^(?:,)/i,/^(?:\\s+)/i,/^(?:\\b((?:PK)|(?:FK)|(?:UK))\\b)/i,/^(?:(.\*?)\[~\](.\*?)\*\[~\])/i,/^(?:\[\\\*A-Za-z\_\]\[A-Za-z0-9\\-\_\\\[\\\]\\(\\)\]\*)/i,/^(?:"\[^"\]\*")/i,/^(?:\[\\n\]+)/i,/^(?:\\})/i,/^(?:.)/i,/^(?:\\\[)/i,/^(?:\\\])/i,/^(?:one or zero\\b)/i,/^(?:one or more\\b)/i,/^(?:one or many\\b)/i,/^(?:1\\+)/i,/^(?:\\|o\\b)/i,/^(?:zero or one\\b)/i,/^(?:zero or more\\b)/i,/^(?:zero or many\\b)/i,/^(?:0\\+)/i,/^(?:\\}o\\b)/i,/^(?:many\\(0\\))/i,/^(?:many\\(1\\))/i,/^(?:many\\b)/i,/^(?:\\}\\|)/i,/^(?:one\\b)/i,/^(?:only 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83:X.commit(U\[nt\],U\[nt-2\],X.commitType.NORMAL,U\[nt-4\]);break;case 84:X.commit(U\[nt\],U\[nt-4\],X.commitType.NORMAL,U\[nt-2\]);break;case 85:X.commit(U\[nt-2\],U\[nt-4\],X.commitType.NORMAL,U\[nt\]);break;case 86:X.commit(U\[nt-6\],U\[nt-4\],U\[nt-2\],U\[nt\]);break;case 87:X.commit(U\[nt-6\],U\[nt-4\],U\[nt\],U\[nt-2\]);break;case 88:X.commit(U\[nt-6\],U\[nt-2\],U\[nt-4\],U\[nt\]);break;case 89:X.commit(U\[nt-6\],U\[nt\],U\[nt-4\],U\[nt-2\]);break;case 90:X.commit(U\[nt-6\],U\[nt-2\],U\[nt\],U\[nt-4\]);break;case 91:X.commit(U\[nt-6\],U\[nt\],U\[nt-2\],U\[nt-4\]);break;case 92:X.commit(U\[nt-4\],U\[nt-6\],U\[nt-2\],U\[nt\]);break;case 93:X.commit(U\[nt-4\],U\[nt-6\],U\[nt\],U\[nt-2\]);break;case 94:X.commit(U\[nt-2\],U\[nt-6\],U\[nt-4\],U\[nt\]);break;case 95:X.commit(U\[nt\],U\[nt-6\],U\[nt-4\],U\[nt-2\]);break;case 96:X.commit(U\[nt-2\],U\[nt-6\],U\[nt\],U\[nt-4\]);break;case 97:X.commit(U\[nt\],U\[nt-6\],U\[nt-2\],U\[nt-4\]);break;case 98:X.commit(U\[nt\],U\[nt-4\],U\[nt-2\],U\[nt-6\]);break;case 99:X.commit(U\[nt-2\],U\[nt-4\],U\[nt\],U\[nt-6\]);break;case 100:X.commit(U\[nt\],U\[nt-2\],U\[nt-4\],U\[nt-6\]);break;case 101:X.commit(U\[nt-2\],U\[nt\],U\[nt-4\],U\[nt-6\]);break;case 102:X.commit(U\[nt-4\],U\[nt-2\],U\[nt\],U\[nt-6\]);break;case 103:X.commit(U\[nt-4\],U\[nt\],U\[nt-2\],U\[nt-6\]);break;case 104:X.commit(U\[nt-2\],U\[nt-4\],U\[nt-6\],U\[nt\]);break;case 105:X.commit(U\[nt\],U\[nt-4\],U\[nt-6\],U\[nt-2\]);break;case 106:X.commit(U\[nt-2\],U\[nt\],U\[nt-6\],U\[nt-4\]);break;case 107:X.commit(U\[nt\],U\[nt-2\],U\[nt-6\],U\[nt-4\]);break;case 108:X.commit(U\[nt-4\],U\[nt-2\],U\[nt-6\],U\[nt\]);break;case 109:X.commit(U\[nt-4\],U\[nt\],U\[nt-6\],U\[nt-2\]);break;case 110:this.$="";break;case 111:this.$=U\[nt\];break;case 112:this.$=X.commitType.NORMAL;break;case 113:this.$=X.commitType.REVERSE;break;case 114:this.$=X.commitType.HIGHLIGHT;break}},table:\[{3:1,4:2,5:a,7:f,13:p,46:v},{1:\[3\]},{3:7,4:2,5:a,7:f,13:p,46:v},{6:8,7:m,8:\[1,9\],9:\[1,10\],10:11,13:b},i(E,\[2,117\]),i(E,\[2,118\]),i(E,\[2,119\]),{1:\[2,1\]},{7:\[1,13\]},{6:14,7:m,10:11,13:b},{8:\[1,15\]},i(\_,\[2,9\],{11:16,12:\[1,17\]}),i(L,\[2,8\]),{1:\[2,2\]},{7:\[1,18\]},{6:19,7:m,10:11,13:b},{7:\[2,6\],13:\[1,22\],14:20,15:21,16:23,17:24,18:25,19:\[1,26\],21:\[1,27\],23:\[1,28\],24:\[1,29\],25:30,26:\[1,31\],28:\[1,35\],31:\[1,34\],36:\[1,33\],39:\[1,32\]},i(L,\[2,7\]),{1:\[2,3\]},{7:\[1,36\]},i(\_,\[2,10\]),{4:37,7:f,13:p,46:v},i(\_,\[2,12\]),i(N,\[2,13\]),i(N,\[2,14\]),i(N,\[2,15\]),{20:\[1,38\]},{22:\[1,39\]},i(N,\[2,18\]),i(N,\[2,19\]),i(N,\[2,20\]),{27:40,33:B,45:j},i(N,\[2,110\],{40:43,32:\[1,46\],33:\[1,48\],34:\[1,44\],37:\[1,45\],41:\[1,47\]}),{27:49,33:B,45:j},{32:\[1,50\],34:\[1,51\]},{27:52,33:B,45:j},{1:\[2,4\]},i(\_,\[2,11\]),i(N,\[2,16\]),i(N,\[2,17\]),i(N,\[2,21\]),i(R,\[2,115\]),i(R,\[2,116\]),i(N,\[2,45\]),{33:\[1,53\]},{38:54,42:z,43:K,44:it},{33:\[1,58\]},{33:\[1,59\]},i(N,\[2,111\]),i(N,\[2,29\],{32:\[1,60\],34:\[1,62\],37:\[1,61\]}),{33:\[1,63\]},{33:\[1,64\],35:\[1,65\]},i(N,\[2,22\],{29:\[1,66\]}),i(N,\[2,46\],{32:\[1,68\],37:\[1,67\],41:\[1,69\]}),i(N,\[2,47\],{32:\[1,71\],34:\[1,70\],41:\[1,72\]}),i(st,\[2,112\]),i(st,\[2,113\]),i(st,\[2,114\]),i(N,\[2,50\],{34:\[1,73\],37:\[1,74\],41:\[1,75\]}),i(N,\[2,61\],{32:\[1,78\],34:\[1,76\],37:\[1,77\]}),{33:\[1,79\]},{38:80,42:z,43:K,44:it},{33:\[1,81\]},i(N,\[2,24\],{34:\[1,82\]}),{32:\[1,83\]},{32:\[1,84\]},{30:\[1,85\]},{38:86,42:z,43:K,44:it},{33:\[1,87\]},{33:\[1,88\]},{33:\[1,89\]},{33:\[1,90\]},{33:\[1,91\]},{33:\[1,92\]},{38:93,42:z,43:K,44:it},{33:\[1,94\]},{33:\[1,95\]},{38:96,42:z,43:K,44:it},{33:\[1,97\]},i(N,\[2,30\],{34:\[1,99\],37:\[1,98\]}),i(N,\[2,31\],{32:\[1,101\],34:\[1,100\]}),i(N,\[2,32\],{32:\[1,102\],37:\[1,103\]}),{33:\[1,104\],35:\[1,105\]},{33:\[1,106\]},{33:\[1,107\]},i(N,\[2,23\]),i(N,\[2,48\],{32:\[1,108\],41:\[1,109\]}),i(N,\[2,52\],{37:\[1,110\],41:\[1,111\]}),i(N,\[2,62\],{32:\[1,113\],37:\[1,112\]}),i(N,\[2,49\],{32:\[1,114\],41:\[1,115\]}),i(N,\[2,54\],{34:\[1,116\],41:\[1,117\]}),i(N,\[2,65\],{32:\[1,119\],34:\[1,118\]}),i(N,\[2,51\],{37:\[1,120\],41:\[1,121\]}),i(N,\[2,53\],{34:\[1,122\],41:\[1,123\]}),i(N,\[2,66\],{34:\[1,125\],37:\[1,124\]}),i(N,\[2,63\],{32:\[1,127\],37:\[1,126\]}),i(N,\[2,64\],{32:\[1,129\],34:\[1,128\]}),i(N,\[2,67\],{34:\[1,131\],37:\[1,130\]}),{38:132,42:z,43:K,44:it},{33:\[1,133\]},{33:\[1,134\]},{33:\[1,135\]},{33:\[1,136\]},{38:137,42:z,43:K,44:it},i(N,\[2,25\]),i(N,\[2,26\]),i(N,\[2,27\]),i(N,\[2,28\]),{33:\[1,138\]},{33:\[1,139\]},{38:140,42:z,43:K,44:it},{33:\[1,141\]},{38:142,42:z,43:K,44:it},{33:\[1,143\]},{33:\[1,144\]},{33:\[1,145\]},{33:\[1,146\]},{33:\[1,147\]},{33:\[1,148\]},{33:\[1,149\]},{38:150,42:z,43:K,44:it},{33:\[1,151\]},{33:\[1,152\]},{33:\[1,153\]},{38:154,42:z,43:K,44:it},{33:\[1,155\]},{38:156,42:z,43:K,44:it},{33:\[1,157\]},{33:\[1,158\]},{33:\[1,159\]},{38:160,42:z,43:K,44:it},{33:\[1,161\]},i(N,\[2,36\],{34:\[1,162\]}),i(N,\[2,37\],{37:\[1,163\]}),i(N,\[2,35\],{32:\[1,164\]}),i(N,\[2,38\],{34:\[1,165\]}),i(N,\[2,33\],{37:\[1,166\]}),i(N,\[2,34\],{32:\[1,167\]}),i(N,\[2,59\],{41:\[1,168\]}),i(N,\[2,72\],{32:\[1,169\]}),i(N,\[2,60\],{41:\[1,170\]}),i(N,\[2,83\],{37:\[1,171\]}),i(N,\[2,73\],{32:\[1,172\]}),i(N,\[2,82\],{37:\[1,173\]}),i(N,\[2,58\],{41:\[1,174\]}),i(N,\[2,71\],{32:\[1,175\]}),i(N,\[2,57\],{41:\[1,176\]}),i(N,\[2,77\],{34:\[1,177\]}),i(N,\[2,70\],{32:\[1,178\]}),i(N,\[2,76\],{34:\[1,179\]}),i(N,\[2,56\],{41:\[1,180\]}),i(N,\[2,84\],{37:\[1,181\]}),i(N,\[2,55\],{41:\[1,182\]}),i(N,\[2,78\],{34:\[1,183\]}),i(N,\[2,79\],{34:\[1,184\]}),i(N,\[2,85\],{37:\[1,185\]}),i(N,\[2,69\],{32:\[1,186\]}),i(N,\[2,80\],{37:\[1,187\]}),i(N,\[2,68\],{32:\[1,188\]}),i(N,\[2,74\],{34:\[1,189\]}),i(N,\[2,75\],{34:\[1,190\]}),i(N,\[2,81\],{37:\[1,191\]}),{33:\[1,192\]},{38:193,42:z,43:K,44:it},{33:\[1,194\]},{33:\[1,195\]},{38:196,42:z,43:K,44:it},{33:\[1,197\]},{33:\[1,198\]},{33:\[1,199\]},{33:\[1,200\]},{38:201,42:z,43:K,44:it},{33:\[1,202\]},{38:203,42:z,43:K,44:it},{33:\[1,204\]},{33:\[1,205\]},{33:\[1,206\]},{33:\[1,207\]},{33:\[1,208\]},{33:\[1,209\]},{33:\[1,210\]},{38:211,42:z,43:K,44:it},{33:\[1,212\]},{33:\[1,213\]},{33:\[1,214\]},{38:215,42:z,43:K,44:it},{33:\[1,216\]},{38:217,42:z,43:K,44:it},{33:\[1,218\]},{33:\[1,219\]},{33:\[1,220\]},{38:221,42:z,43:K,44:it},i(N,\[2,39\]),i(N,\[2,41\]),i(N,\[2,40\]),i(N,\[2,42\]),i(N,\[2,44\]),i(N,\[2,43\]),i(N,\[2,100\]),i(N,\[2,101\]),i(N,\[2,98\]),i(N,\[2,99\]),i(N,\[2,103\]),i(N,\[2,102\]),i(N,\[2,107\]),i(N,\[2,106\]),i(N,\[2,105\]),i(N,\[2,104\]),i(N,\[2,109\]),i(N,\[2,108\]),i(N,\[2,97\]),i(N,\[2,96\]),i(N,\[2,95\]),i(N,\[2,94\]),i(N,\[2,92\]),i(N,\[2,93\]),i(N,\[2,91\]),i(N,\[2,90\]),i(N,\[2,89\]),i(N,\[2,88\]),i(N,\[2,86\]),i(N,\[2,87\])\],defaultActions:{7:\[2,1\],13:\[2,2\],18:\[2,3\],36:\[2,4\]},parseError:function(dt,ht){if(ht.recoverable)this.trace(dt);else{var wt=new Error(dt);throw wt.hash=ht,wt}},parse:function(dt){var ht=this,wt=\[0\],X=\[\],pt=\[null\],U=\[\],xt=this.table,nt="",Ot=0,Nt=0,qt=2,Ct=1,Z=U.slice.call(arguments,1),Tt=Object.create(this.lexer),Ht={yy:{}};for(var It in this.yy)Object.prototype.hasOwnProperty.call(this.yy,It)&&(Ht.yy\[It\]=this.yy\[It\]);Tt.setInput(dt,Ht.yy),Ht.yy.lexer=Tt,Ht.yy.parser=this,typeof Tt.yylloc>"u"&&(Tt.yylloc={});var Ft=Tt.yylloc;U.push(Ft);var ke=Tt.options&&Tt.options.ranges;typeof Ht.yy.parseError=="function"?this.parseError=Ht.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function pn(){var oe;return oe=X.pop()||Tt.lex()||Ct,typeof oe!="number"&&(oe instanceof Array&&(X=oe,oe=X.pop()),oe=ht.symbols\_\[oe\]||oe),oe}for(var Me,ve,Ge,Ke,we={},\_e,$t,re,ie;;){if(ve=wt\[wt.length-1\],this.defaultActions\[ve\]?Ge=this.defaultActions\[ve\]:((Me===null||typeof Me>"u")&&(Me=pn()),Ge=xt\[ve\]&&xt\[ve\]\[Me\]),typeof Ge>"u"||!Ge.length||!Ge\[0\]){var Oe="";ie=\[\];for(\_e in xt\[ve\])this.terminals\_\[\_e\]&&\_e>qt&&ie.push("'"+this.terminals\_\[\_e\]+"'");Tt.showPosition?Oe="Parse error on line "+(Ot+1)+\`: \`+Tt.showPosition()+\` Expecting \`+ie.join(", ")+", got '"+(this.terminals\_\[Me\]||Me)+"'":Oe="Parse error on line "+(Ot+1)+": Unexpected "+(Me==Ct?"end of input":"'"+(this.terminals\_\[Me\]||Me)+"'"),this.parseError(Oe,{text:Tt.match,token:this.terminals\_\[Me\]||Me,line:Tt.yylineno,loc:Ft,expected:ie})}if(Ge\[0\]instanceof Array&&Ge.length>1)throw new Error("Parse Error: multiple actions possible at state: "+ve+", token: "+Me);switch(Ge\[0\]){case 1:wt.push(Me),pt.push(Tt.yytext),U.push(Tt.yylloc),wt.push(Ge\[1\]),Me=null,Nt=Tt.yyleng,nt=Tt.yytext,Ot=Tt.yylineno,Ft=Tt.yylloc;break;case 2:if($t=this.productions\_\[Ge\[1\]\]\[1\],we.$=pt\[pt.length-$t\],we.\_$={first\_line:U\[U.length-($t||1)\].first\_line,last\_line:U\[U.length-1\].last\_line,first\_column:U\[U.length-($t||1)\].first\_column,last\_column:U\[U.length-1\].last\_column},ke&&(we.\_$.range=\[U\[U.length-($t||1)\].range\[0\],U\[U.length-1\].range\[1\]\]),Ke=this.performAction.apply(we,\[nt,Nt,Ot,Ht.yy,Ge\[1\],pt,U\].concat(Z)),typeof Ke<"u")return Ke;$t&&(wt=wt.slice(0,-1\*$t\*2),pt=pt.slice(0,-1\*$t),U=U.slice(0,-1\*$t)),wt.push(this.productions\_\[Ge\[1\]\]\[0\]),pt.push(we.$),U.push(we.\_$),re=xt\[wt\[wt.length-2\]\]\[wt\[wt.length-1\]\],wt.push(re);break;case 3:return!0}}return!0}},bt=function(){var yt={EOF:1,parseError:function(ht,wt){if(this.yy.parser)this.yy.parser.parseError(ht,wt);else throw new Error(ht)},setInput:function(dt,ht){return this.yy=ht||this.yy||{},this.\_input=dt,this.\_more=this.\_backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=\["INITIAL"\],this.yylloc={first\_line:1,first\_column:0,last\_line:1,last\_column:0},this.options.ranges&&(this.yylloc.range=\[0,0\]),this.offset=0,this},input:function(){var dt=this.\_input\[0\];this.yytext+=dt,this.yyleng++,this.offset++,this.match+=dt,this.matched+=dt;var ht=dt.match(/(?:\\r\\n?|\\n).\*/g);return ht?(this.yylineno++,this.yylloc.last\_line++):this.yylloc.last\_column++,this.options.ranges&&this.yylloc.range\[1\]++,this.\_input=this.\_input.slice(1),dt},unput:function(dt){var ht=dt.length,wt=dt.split(/(?:\\r\\n?|\\n)/g);this.\_input=dt+this.\_input,this.yytext=this.yytext.substr(0,this.yytext.length-ht),this.offset-=ht;var X=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),wt.length-1&&(this.yylineno-=wt.length-1);var pt=this.yylloc.range;return this.yylloc={first\_line:this.yylloc.first\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.first\_column,last\_column:wt?(wt.length===X.length?this.yylloc.first\_column:0)+X\[X.length-wt.length\].length-wt\[0\].length:this.yylloc.first\_column-ht},this.options.ranges&&(this.yylloc.range=\[pt\[0\],pt\[0\]+this.yyleng-ht\]),this.yyleng=this.yytext.length,this},more:function(){return this.\_more=!0,this},reject:function(){if(this.options.backtrack\_lexer)this.\_backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+\`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack\_lexer = true). \`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(dt){this.unput(this.match.slice(dt))},pastInput:function(){var dt=this.matched.substr(0,this.matched.length-this.match.length);return(dt.length>20?"...":"")+dt.substr(-20).replace(/\\n/g,"")},upcomingInput:function(){var dt=this.match;return dt.length<20&&(dt+=this.\_input.substr(0,20-dt.length)),(dt.substr(0,20)+(dt.length>20?"...":"")).replace(/\\n/g,"")},showPosition:function(){var dt=this.pastInput(),ht=new Array(dt.length+1).join("-");return dt+this.upcomingInput()+\` \`+ht+"^"},test\_match:function(dt,ht){var wt,X,pt;if(this.options.backtrack\_lexer&&(pt={yylineno:this.yylineno,yylloc:{first\_line:this.yylloc.first\_line,last\_line:this.last\_line,first\_column:this.yylloc.first\_column,last\_column:this.yylloc.last\_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,\_more:this.\_more,\_input:this.\_input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(pt.yylloc.range=this.yylloc.range.slice(0))),X=dt\[0\].match(/(?:\\r\\n?|\\n).\*/g),X&&(this.yylineno+=X.length),this.yylloc={first\_line:this.yylloc.last\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.last\_column,last\_column:X?X\[X.length-1\].length-X\[X.length-1\].match(/\\r?\\n?/)\[0\].length:this.yylloc.last\_column+dt\[0\].length},this.yytext+=dt\[0\],this.match+=dt\[0\],this.matches=dt,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=\[this.offset,this.offset+=this.yyleng\]),this.\_more=!1,this.\_backtrack=!1,this.\_input=this.\_input.slice(dt\[0\].length),this.matched+=dt\[0\],wt=this.performAction.call(this,this.yy,this,ht,this.conditionStack\[this.conditionStack.length-1\]),this.done&&this.\_input&&(this.done=!1),wt)return wt;if(this.\_backtrack){for(var U in pt)this\[U\]=pt\[U\];return!1}return!1},next:function(){if(this.done)return this.EOF;this.\_input||(this.done=!0);var dt,ht,wt,X;this.\_more||(this.yytext="",this.match="");for(var pt=this.\_currentRules(),U=0;Uht\[0\].length)){if(ht=wt,X=U,this.options.backtrack\_lexer){if(dt=this.test\_match(wt,pt\[U\]),dt!==!1)return dt;if(this.\_backtrack){ht=!1;continue}else return!1}else if(!this.options.flex)break}return ht?(dt=this.test\_match(ht,pt\[X\]),dt!==!1?dt:!1):this.\_input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+\`. 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this.begin("acc\_descr"),30;case 4:return this.popState(),"acc\_descr\_value";case 5:this.begin("acc\_descr\_multiline");break;case 6:this.popState();break;case 7:return"acc\_descr\_multiline\_value";case 8:break;case 9:break;case 10:break;case 11:return 10;case 12:break;case 13:break;case 14:break;case 15:this.begin("href");break;case 16:this.popState();break;case 17:return 40;case 18:this.begin("callbackname");break;case 19:this.popState();break;case 20:this.popState(),this.begin("callbackargs");break;case 21:return 38;case 22:this.popState();break;case 23:return 39;case 24:this.begin("click");break;case 25:this.popState();break;case 26:return 37;case 27:return 4;case 28:return 19;case 29:return 20;case 30:return 21;case 31:return 22;case 32:return 23;case 33:return 25;case 34:return 24;case 35:return 26;case 36:return 12;case 37:return 13;case 38:return 14;case 39:return 15;case 40:return 16;case 41:return 17;case 42:return 18;case 43:return"date";case 44:return 27;case 45:return"accDescription";case 46:return 33;case 47:return 35;case 48:return 36;case 49:return":";case 50:return 6;case 51:return"INVALID"}},rules:\[/^(?:%%\\{)/i,/^(?:accTitle\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*\\{\\s\*)/i,/^(?:\[\\}\])/i,/^(?:\[^\\}\]\*)/i,/^(?:%%(?!\\{)\*\[^\\n\]\*)/i,/^(?:\[^\\}\]%%\*\[^\\n\]\*)/i,/^(?:%%\*\[^\\n\]\*\[\\n\]\*)/i,/^(?:\[\\n\]+)/i,/^(?:\\s+)/i,/^(?:#\[^\\n\]\*)/i,/^(?:%\[^\\n\]\*)/i,/^(?:href\[\\s\]+\["\])/i,/^(?:\["\])/i,/^(?:\[^"\]\*)/i,/^(?:call\[\\s\]+)/i,/^(?:\\(\[\\s\]\*\\))/i,/^(?:\\()/i,/^(?:\[^(\]\*)/i,/^(?:\\))/i,/^(?:\[^)\]\*)/i,/^(?:click\[\\s\]+)/i,/^(?:\[\\s\\n\])/i,/^(?:\[^\\s\\n\]\*)/i,/^(?:gantt\\b)/i,/^(?:dateFormat\\s\[^#\\n;\]+)/i,/^(?:inclusiveEndDates\\b)/i,/^(?:topAxis\\b)/i,/^(?:axisFormat\\s\[^#\\n;\]+)/i,/^(?:tickInterval\\s\[^#\\n;\]+)/i,/^(?:includes\\s\[^#\\n;\]+)/i,/^(?:excludes\\s\[^#\\n;\]+)/i,/^(?:todayMarker\\s\[^\\n;\]+)/i,/^(?:weekday\\s+monday\\b)/i,/^(?:weekday\\s+tuesday\\b)/i,/^(?:weekday\\s+wednesday\\b)/i,/^(?:weekday\\s+thursday\\b)/i,/^(?:weekday\\s+friday\\b)/i,/^(?:weekday\\s+saturday\\b)/i,/^(?:weekday\\s+sunday\\b)/i,/^(?:\\d\\d\\d\\d-\\d\\d-\\d\\d\\b)/i,/^(?:title\\s\[^#\\n;\]+)/i,/^(?:accDescription\\s\[^#\\n;\]+)/i,/^(?:section\\s\[^#:\\n;\]+)/i,/^(?:\[^#:\\n;\]+)/i,/^(?::\[^#\\n;\]+)/i,/^(?::)/i,/^(?:$)/i,/^(?:.)/i\],conditions:{acc\_descr\_multiline:{rules:\[6,7\],inclusive:!1},acc\_descr:{rules:\[4\],inclusive:!1},acc\_title:{rules:\[2\],inclusive:!1},callbackargs:{rules:\[22,23\],inclusive:!1},callbackname:{rules:\[19,20,21\],inclusive:!1},href:{rules:\[16,17\],inclusive:!1},click:{rules:\[25,26\],inclusive:!1},INITIAL:{rules:\[0,1,3,5,8,9,10,11,12,13,14,15,18,24,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51\],inclusive:!0}}};return U}();wt.lexer=X;function pt(){this.yy={}}return pt.prototype=wt,wt.Parser=pt,new pt}();R0t.parser=R0t;const Dze=R0t;var GBt={exports:{}};(function(i,a){(function(f,p){i.exports=p()})(d0,function(){var f="day";return function(p,v,m){var b=function(L){return L.add(4-L.isoWeekday(),f)},E=v.prototype;E.isoWeekYear=function(){return b(this).year()},E.isoWeek=function(L){if(!this.$utils().u(L))return this.add(7\*(L-this.isoWeek()),f);var N,B,j,R,z=b(this),K=(N=this.isoWeekYear(),B=this.$u,j=(B?m.utc:m)().year(N).startOf("year"),R=4-j.isoWeekday(),j.isoWeekday()>4&&(R+=7),j.add(R,f));return z.diff(K,"week")+1},E.isoWeekday=function(L){return this.$utils().u(L)?this.day()||7:this.day(this.day()%7?L:L-7)};var \_=E.startOf;E.startOf=function(L,N){var B=this.$utils(),j=!!B.u(N)||N;return B.p(L)==="isoweek"?j?this.date(this.date()-(this.isoWeekday()-1)).startOf("day"):this.date(this.date()-1-(this.isoWeekday()-1)+7).endOf("day"):\_.bind(this)(L,N)}}})})(GBt);var Oze=GBt.exports;const 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You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack\_lexer = true). \`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(b){this.unput(this.match.slice(b))},pastInput:function(){var b=this.matched.substr(0,this.matched.length-this.match.length);return(b.length>20?"...":"")+b.substr(-20).replace(/\\n/g,"")},upcomingInput:function(){var b=this.match;return b.length<20&&(b+=this.\_input.substr(0,20-b.length)),(b.substr(0,20)+(b.length>20?"...":"")).replace(/\\n/g,"")},showPosition:function(){var b=this.pastInput(),E=new Array(b.length+1).join("-");return b+this.upcomingInput()+\` \`+E+"^"},test\_match:function(b,E){var \_,L,N;if(this.options.backtrack\_lexer&&(N={yylineno:this.yylineno,yylloc:{first\_line:this.yylloc.first\_line,last\_line:this.last\_line,first\_column:this.yylloc.first\_column,last\_column:this.yylloc.last\_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,\_more:this.\_more,\_input:this.\_input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(N.yylloc.range=this.yylloc.range.slice(0))),L=b\[0\].match(/(?:\\r\\n?|\\n).\*/g),L&&(this.yylineno+=L.length),this.yylloc={first\_line:this.yylloc.last\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.last\_column,last\_column:L?L\[L.length-1\].length-L\[L.length-1\].match(/\\r?\\n?/)\[0\].length:this.yylloc.last\_column+b\[0\].length},this.yytext+=b\[0\],this.match+=b\[0\],this.matches=b,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=\[this.offset,this.offset+=this.yyleng\]),this.\_more=!1,this.\_backtrack=!1,this.\_input=this.\_input.slice(b\[0\].length),this.matched+=b\[0\],\_=this.performAction.call(this,this.yy,this,E,this.conditionStack\[this.conditionStack.length-1\]),this.done&&this.\_input&&(this.done=!1),\_)return \_;if(this.\_backtrack){for(var B in N)this\[B\]=N\[B\];return!1}return!1},next:function(){if(this.done)return this.EOF;this.\_input||(this.done=!0);var b,E,\_,L;this.\_more||(this.yytext="",this.match="");for(var N=this.\_currentRules(),B=0;BE\[0\].length)){if(E=\_,L=B,this.options.backtrack\_lexer){if(b=this.test\_match(\_,N\[B\]),b!==!1)return b;if(this.\_backtrack){E=!1;continue}else return!1}else if(!this.options.flex)break}return E?(b=this.test\_match(E,N\[L\]),b!==!1?b:!1):this.\_input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+\`. Unrecognized text. \`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var E=this.next();return E||this.lex()},begin:function(E){this.conditionStack.push(E)},popState:function(){var E=this.conditionStack.length-1;return E>0?this.conditionStack.pop():this.conditionStack\[0\]},\_currentRules:function(){return this.conditionStack.length&&this.conditionStack\[this.conditionStack.length-1\]?this.conditions\[this.conditionStack\[this.conditionStack.length-1\]\].rules:this.conditions.INITIAL.rules},topState:function(E){return E=this.conditionStack.length-1-Math.abs(E||0),E>=0?this.conditionStack\[E\]:"INITIAL"},pushState:function(E){this.begin(E)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(E,\_,L,N){switch(L){case 0:return 4;case 1:return 9;case 2:return"space";case 3:return 10;case 4:return 6;case 5:return"TXT"}},rules:\[/^(?:info\\b)/i,/^(?:\[\\s\\n\\r\]+)/i,/^(?:\[\\s\]+)/i,/^(?:showInfo\\b)/i,/^(?:$)/i,/^(?:.)/i\],conditions:{INITIAL:{rules:\[0,1,2,3,4,5\],inclusive:!0}}};return m}();f.lexer=p;function v(){this.yy={}}return v.prototype=f,f.Parser=v,new v}();Q0t.parser=Q0t;const xqe=Q0t,iRt={info:!1};let Z0t=iRt.info;const kqe=Object.freeze(Object.defineProperty({\_\_proto\_\_:null,diagram:{parser:xqe,db:{clear:()=>{Z0t=iRt.info},setInfo:i=>{Z0t=i},getInfo:()=>Z0t},renderer:{draw:(i,a,f)=>{Ut.debug(\`rendering info diagram \`+i);const p=fdt(a);og(p,100,400,!0),p.append("g").append("text").attr("x",100).attr("y",40).attr("class","version").attr("font-size",32).style("text-anchor","middle").text(\`v${f}\`)}}}},Symbol.toStringTag,{value:"Module"}));var J0t=function(){var i=function(bt,mt,yt,dt){for(yt=yt||{},dt=bt.length;dt--;yt\[bt\[dt\]\]=mt);return yt},a=\[1,3\],f=\[1,4\],p=\[1,5\],v=\[1,6\],m=\[1,10,12,14,16,18,19,20,21,22\],b=\[2,4\],E=\[1,5,10,12,14,16,18,19,20,21,22\],\_=\[20,21,22\],L=\[2,7\],N=\[1,12\],B=\[1,13\],j=\[1,14\],R=\[1,15\],z=\[1,16\],K=\[1,17\],it={trace:function(){},yy:{},symbols\_:{error:2,start:3,eol:4,PIE:5,document:6,showData:7,line:8,statement:9,txt:10,value:11,title:12,title\_value:13,acc\_title:14,acc\_title\_value:15,acc\_descr:16,acc\_descr\_value:17,acc\_descr\_multiline\_value:18,section:19,NEWLINE:20,";":21,EOF:22,$accept:0,$end:1},terminals\_:{2:"error",5:"PIE",7:"showData",10:"txt",11:"value",12:"title",13:"title\_value",14:"acc\_title",15:"acc\_title\_value",16:"acc\_descr",17:"acc\_descr\_value",18:"acc\_descr\_multiline\_value",19:"section",20:"NEWLINE",21:";",22:"EOF"},productions\_:\[0,\[3,2\],\[3,2\],\[3,3\],\[6,0\],\[6,2\],\[8,2\],\[9,0\],\[9,2\],\[9,2\],\[9,2\],\[9,2\],\[9,1\],\[9,1\],\[4,1\],\[4,1\],\[4,1\]\],performAction:function(mt,yt,dt,ht,wt,X,pt){var U=X.length-1;switch(wt){case 3:ht.setShowData(!0);break;case 6:this.$=X\[U-1\];break;case 8:ht.addSection(X\[U-1\],ht.cleanupValue(X\[U\]));break;case 9:this.$=X\[U\].trim(),ht.setDiagramTitle(this.$);break;case 10:this.$=X\[U\].trim(),ht.setAccTitle(this.$);break;case 11:case 12:this.$=X\[U\].trim(),ht.setAccDescription(this.$);break;case 13:ht.addSection(X\[U\].substr(8)),this.$=X\[U\].substr(8);break}},table:\[{3:1,4:2,5:a,20:f,21:p,22:v},{1:\[3\]},{3:7,4:2,5:a,20:f,21:p,22:v},i(m,b,{6:8,7:\[1,9\]}),i(E,\[2,14\]),i(E,\[2,15\]),i(E,\[2,16\]),{1:\[2,1\]},i(\_,L,{8:10,9:11,1:\[2,2\],10:N,12:B,14:j,16:R,18:z,19:K}),i(m,b,{6:18}),i(m,\[2,5\]),{4:19,20:f,21:p,22:v},{11:\[1,20\]},{13:\[1,21\]},{15:\[1,22\]},{17:\[1,23\]},i(\_,\[2,12\]),i(\_,\[2,13\]),i(\_,L,{8:10,9:11,1:\[2,3\],10:N,12:B,14:j,16:R,18:z,19:K}),i(m,\[2,6\]),i(\_,\[2,8\]),i(\_,\[2,9\]),i(\_,\[2,10\]),i(\_,\[2,11\])\],defaultActions:{7:\[2,1\]},parseError:function(mt,yt){if(yt.recoverable)this.trace(mt);else{var dt=new Error(mt);throw dt.hash=yt,dt}},parse:function(mt){var yt=this,dt=\[0\],ht=\[\],wt=\[null\],X=\[\],pt=this.table,U="",xt=0,nt=0,Ot=2,Nt=1,qt=X.slice.call(arguments,1),Ct=Object.create(this.lexer),Z={yy:{}};for(var Tt in this.yy)Object.prototype.hasOwnProperty.call(this.yy,Tt)&&(Z.yy\[Tt\]=this.yy\[Tt\]);Ct.setInput(mt,Z.yy),Z.yy.lexer=Ct,Z.yy.parser=this,typeof Ct.yylloc>"u"&&(Ct.yylloc={});var Ht=Ct.yylloc;X.push(Ht);var It=Ct.options&&Ct.options.ranges;typeof Z.yy.parseError=="function"?this.parseError=Z.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function Ft(){var ie;return ie=ht.pop()||Ct.lex()||Nt,typeof ie!="number"&&(ie instanceof Array&&(ht=ie,ie=ht.pop()),ie=yt.symbols\_\[ie\]||ie),ie}for(var ke,pn,Me,ve,Ge={},Ke,we,\_e,$t;;){if(pn=dt\[dt.length-1\],this.defaultActions\[pn\]?Me=this.defaultActions\[pn\]:((ke===null||typeof ke>"u")&&(ke=Ft()),Me=pt\[pn\]&&pt\[pn\]\[ke\]),typeof Me>"u"||!Me.length||!Me\[0\]){var re="";$t=\[\];for(Ke in pt\[pn\])this.terminals\_\[Ke\]&&Ke>Ot&&$t.push("'"+this.terminals\_\[Ke\]+"'");Ct.showPosition?re="Parse error on line "+(xt+1)+\`: \`+Ct.showPosition()+\` Expecting \`+$t.join(", ")+", got '"+(this.terminals\_\[ke\]||ke)+"'":re="Parse error on line "+(xt+1)+": Unexpected "+(ke==Nt?"end of input":"'"+(this.terminals\_\[ke\]||ke)+"'"),this.parseError(re,{text:Ct.match,token:this.terminals\_\[ke\]||ke,line:Ct.yylineno,loc:Ht,expected:$t})}if(Me\[0\]instanceof Array&&Me.length>1)throw new Error("Parse Error: multiple actions possible at state: "+pn+", token: "+ke);switch(Me\[0\]){case 1:dt.push(ke),wt.push(Ct.yytext),X.push(Ct.yylloc),dt.push(Me\[1\]),ke=null,nt=Ct.yyleng,U=Ct.yytext,xt=Ct.yylineno,Ht=Ct.yylloc;break;case 2:if(we=this.productions\_\[Me\[1\]\]\[1\],Ge.$=wt\[wt.length-we\],Ge.\_$={first\_line:X\[X.length-(we||1)\].first\_line,last\_line:X\[X.length-1\].last\_line,first\_column:X\[X.length-(we||1)\].first\_column,last\_column:X\[X.length-1\].last\_column},It&&(Ge.\_$.range=\[X\[X.length-(we||1)\].range\[0\],X\[X.length-1\].range\[1\]\]),ve=this.performAction.apply(Ge,\[U,nt,xt,Z.yy,Me\[1\],wt,X\].concat(qt)),typeof ve<"u")return ve;we&&(dt=dt.slice(0,-1\*we\*2),wt=wt.slice(0,-1\*we),X=X.slice(0,-1\*we)),dt.push(this.productions\_\[Me\[1\]\]\[0\]),wt.push(Ge.$),X.push(Ge.\_$),\_e=pt\[dt\[dt.length-2\]\]\[dt\[dt.length-1\]\],dt.push(\_e);break;case 3:return!0}}return!0}},st=function(){var bt={EOF:1,parseError:function(yt,dt){if(this.yy.parser)this.yy.parser.parseError(yt,dt);else throw new Error(yt)},setInput:function(mt,yt){return this.yy=yt||this.yy||{},this.\_input=mt,this.\_more=this.\_backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=\["INITIAL"\],this.yylloc={first\_line:1,first\_column:0,last\_line:1,last\_column:0},this.options.ranges&&(this.yylloc.range=\[0,0\]),this.offset=0,this},input:function(){var mt=this.\_input\[0\];this.yytext+=mt,this.yyleng++,this.offset++,this.match+=mt,this.matched+=mt;var yt=mt.match(/(?:\\r\\n?|\\n).\*/g);return yt?(this.yylineno++,this.yylloc.last\_line++):this.yylloc.last\_column++,this.options.ranges&&this.yylloc.range\[1\]++,this.\_input=this.\_input.slice(1),mt},unput:function(mt){var yt=mt.length,dt=mt.split(/(?:\\r\\n?|\\n)/g);this.\_input=mt+this.\_input,this.yytext=this.yytext.substr(0,this.yytext.length-yt),this.offset-=yt;var ht=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),dt.length-1&&(this.yylineno-=dt.length-1);var wt=this.yylloc.range;return this.yylloc={first\_line:this.yylloc.first\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.first\_column,last\_column:dt?(dt.length===ht.length?this.yylloc.first\_column:0)+ht\[ht.length-dt.length\].length-dt\[0\].length:this.yylloc.first\_column-yt},this.options.ranges&&(this.yylloc.range=\[wt\[0\],wt\[0\]+this.yyleng-yt\]),this.yyleng=this.yytext.length,this},more:function(){return this.\_more=!0,this},reject:function(){if(this.options.backtrack\_lexer)this.\_backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+\`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack\_lexer = true). \`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(mt){this.unput(this.match.slice(mt))},pastInput:function(){var mt=this.matched.substr(0,this.matched.length-this.match.length);return(mt.length>20?"...":"")+mt.substr(-20).replace(/\\n/g,"")},upcomingInput:function(){var mt=this.match;return mt.length<20&&(mt+=this.\_input.substr(0,20-mt.length)),(mt.substr(0,20)+(mt.length>20?"...":"")).replace(/\\n/g,"")},showPosition:function(){var mt=this.pastInput(),yt=new Array(mt.length+1).join("-");return mt+this.upcomingInput()+\` \`+yt+"^"},test\_match:function(mt,yt){var dt,ht,wt;if(this.options.backtrack\_lexer&&(wt={yylineno:this.yylineno,yylloc:{first\_line:this.yylloc.first\_line,last\_line:this.last\_line,first\_column:this.yylloc.first\_column,last\_column:this.yylloc.last\_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,\_more:this.\_more,\_input:this.\_input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(wt.yylloc.range=this.yylloc.range.slice(0))),ht=mt\[0\].match(/(?:\\r\\n?|\\n).\*/g),ht&&(this.yylineno+=ht.length),this.yylloc={first\_line:this.yylloc.last\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.last\_column,last\_column:ht?ht\[ht.length-1\].length-ht\[ht.length-1\].match(/\\r?\\n?/)\[0\].length:this.yylloc.last\_column+mt\[0\].length},this.yytext+=mt\[0\],this.match+=mt\[0\],this.matches=mt,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=\[this.offset,this.offset+=this.yyleng\]),this.\_more=!1,this.\_backtrack=!1,this.\_input=this.\_input.slice(mt\[0\].length),this.matched+=mt\[0\],dt=this.performAction.call(this,this.yy,this,yt,this.conditionStack\[this.conditionStack.length-1\]),this.done&&this.\_input&&(this.done=!1),dt)return dt;if(this.\_backtrack){for(var X in wt)this\[X\]=wt\[X\];return!1}return!1},next:function(){if(this.done)return this.EOF;this.\_input||(this.done=!0);var mt,yt,dt,ht;this.\_more||(this.yytext="",this.match="");for(var wt=this.\_currentRules(),X=0;Xyt\[0\].length)){if(yt=dt,ht=X,this.options.backtrack\_lexer){if(mt=this.test\_match(dt,wt\[X\]),mt!==!1)return mt;if(this.\_backtrack){yt=!1;continue}else return!1}else if(!this.options.flex)break}return yt?(mt=this.test\_match(yt,wt\[ht\]),mt!==!1?mt:!1):this.\_input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+\`. Unrecognized text. \`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var yt=this.next();return yt||this.lex()},begin:function(yt){this.conditionStack.push(yt)},popState:function(){var yt=this.conditionStack.length-1;return yt>0?this.conditionStack.pop():this.conditionStack\[0\]},\_currentRules:function(){return this.conditionStack.length&&this.conditionStack\[this.conditionStack.length-1\]?this.conditions\[this.conditionStack\[this.conditionStack.length-1\]\].rules:this.conditions.INITIAL.rules},topState:function(yt){return yt=this.conditionStack.length-1-Math.abs(yt||0),yt>=0?this.conditionStack\[yt\]:"INITIAL"},pushState:function(yt){this.begin(yt)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(yt,dt,ht,wt){switch(ht){case 0:break;case 1:break;case 2:return 20;case 3:break;case 4:break;case 5:return this.begin("title"),12;case 6:return this.popState(),"title\_value";case 7:return this.begin("acc\_title"),14;case 8:return this.popState(),"acc\_title\_value";case 9:return this.begin("acc\_descr"),16;case 10:return this.popState(),"acc\_descr\_value";case 11:this.begin("acc\_descr\_multiline");break;case 12:this.popState();break;case 13:return"acc\_descr\_multiline\_value";case 14:this.begin("string");break;case 15:this.popState();break;case 16:return"txt";case 17:return 5;case 18:return 7;case 19:return"value";case 20:return 22}},rules:\[/^(?:%%(?!\\{)\[^\\n\]\*)/i,/^(?:\[^\\}\]%%\[^\\n\]\*)/i,/^(?:\[\\n\\r\]+)/i,/^(?:%%\[^\\n\]\*)/i,/^(?:\[\\s\]+)/i,/^(?:title\\b)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accTitle\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*\\{\\s\*)/i,/^(?:\[\\}\])/i,/^(?:\[^\\}\]\*)/i,/^(?:\["\])/i,/^(?:\["\])/i,/^(?:\[^"\]\*)/i,/^(?:pie\\b)/i,/^(?:showData\\b)/i,/^(?::\[\\s\]\*\[\\d\]+(?:\\.\[\\d\]+)?)/i,/^(?:$)/i\],conditions:{acc\_descr\_multiline:{rules:\[12,13\],inclusive:!1},acc\_descr:{rules:\[10\],inclusive:!1},acc\_title:{rules:\[8\],inclusive:!1},title:{rules:\[6\],inclusive:!1},string:{rules:\[15,16\],inclusive:!1},INITIAL:{rules:\[0,1,2,3,4,5,7,9,11,14,17,18,19,20\],inclusive:!0}}};return bt}();it.lexer=st;function ut(){this.yy={}}return ut.prototype=it,it.Parser=ut,new ut}();J0t.parser=J0t;const Eqe=J0t,sRt=Lf.pie,CK={sections:{},showData:!1,config:sRt};let \_K=CK.sections,tgt=CK.showData;const 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we=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),Ke.length-1&&(this.yylineno-=Ke.length-1);var \_e=this.yylloc.range;return this.yylloc={first\_line:this.yylloc.first\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.first\_column,last\_column:Ke?(Ke.length===we.length?this.yylloc.first\_column:0)+we\[we.length-Ke.length\].length-Ke\[0\].length:this.yylloc.first\_column-Ge},this.options.ranges&&(this.yylloc.range=\[\_e\[0\],\_e\[0\]+this.yyleng-Ge\]),this.yyleng=this.yytext.length,this},more:function(){return this.\_more=!0,this},reject:function(){if(this.options.backtrack\_lexer)this.\_backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+\`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack\_lexer = true). \`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(ve){this.unput(this.match.slice(ve))},pastInput:function(){var ve=this.matched.substr(0,this.matched.length-this.match.length);return(ve.length>20?"...":"")+ve.substr(-20).replace(/\\n/g,"")},upcomingInput:function(){var ve=this.match;return ve.length<20&&(ve+=this.\_input.substr(0,20-ve.length)),(ve.substr(0,20)+(ve.length>20?"...":"")).replace(/\\n/g,"")},showPosition:function(){var ve=this.pastInput(),Ge=new Array(ve.length+1).join("-");return ve+this.upcomingInput()+\` \`+Ge+"^"},test\_match:function(ve,Ge){var Ke,we,\_e;if(this.options.backtrack\_lexer&&(\_e={yylineno:this.yylineno,yylloc:{first\_line:this.yylloc.first\_line,last\_line:this.last\_line,first\_column:this.yylloc.first\_column,last\_column:this.yylloc.last\_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,\_more:this.\_more,\_input:this.\_input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(\_e.yylloc.range=this.yylloc.range.slice(0))),we=ve\[0\].match(/(?:\\r\\n?|\\n).\*/g),we&&(this.yylineno+=we.length),this.yylloc={first\_line:this.yylloc.last\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.last\_column,last\_column:we?we\[we.length-1\].length-we\[we.length-1\].match(/\\r?\\n?/)\[0\].length:this.yylloc.last\_column+ve\[0\].length},this.yytext+=ve\[0\],this.match+=ve\[0\],this.matches=ve,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=\[this.offset,this.offset+=this.yyleng\]),this.\_more=!1,this.\_backtrack=!1,this.\_input=this.\_input.slice(ve\[0\].length),this.matched+=ve\[0\],Ke=this.performAction.call(this,this.yy,this,Ge,this.conditionStack\[this.conditionStack.length-1\]),this.done&&this.\_input&&(this.done=!1),Ke)return Ke;if(this.\_backtrack){for(var $t in \_e)this\[$t\]=\_e\[$t\];return!1}return!1},next:function(){if(this.done)return this.EOF;this.\_input||(this.done=!0);var ve,Ge,Ke,we;this.\_more||(this.yytext="",this.match="");for(var \_e=this.\_currentRules(),$t=0;$t<\_e.length;$t++)if(Ke=this.\_input.match(this.rules\[\_e\[$t\]\]),Ke&&(!Ge||Ke\[0\].length>Ge\[0\].length)){if(Ge=Ke,we=$t,this.options.backtrack\_lexer){if(ve=this.test\_match(Ke,\_e\[$t\]),ve!==!1)return ve;if(this.\_backtrack){Ge=!1;continue}else return!1}else if(!this.options.flex)break}return Ge?(ve=this.test\_match(Ge,\_e\[we\]),ve!==!1?ve:!1):this.\_input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+\`. Unrecognized text. \`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var Ge=this.next();return Ge||this.lex()},begin:function(Ge){this.conditionStack.push(Ge)},popState:function(){var Ge=this.conditionStack.length-1;return Ge>0?this.conditionStack.pop():this.conditionStack\[0\]},\_currentRules:function(){return this.conditionStack.length&&this.conditionStack\[this.conditionStack.length-1\]?this.conditions\[this.conditionStack\[this.conditionStack.length-1\]\].rules:this.conditions.INITIAL.rules},topState:function(Ge){return Ge=this.conditionStack.length-1-Math.abs(Ge||0),Ge>=0?this.conditionStack\[Ge\]:"INITIAL"},pushState:function(Ge){this.begin(Ge)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(Ge,Ke,we,\_e){switch(we){case 0:break;case 1:break;case 2:return 32;case 3:break;case 4:return this.begin("title"),13;case 5:return this.popState(),"title\_value";case 6:return this.begin("acc\_title"),15;case 7:return this.popState(),"acc\_title\_value";case 8:return this.begin("acc\_descr"),17;case 9:return this.popState(),"acc\_descr\_value";case 10:this.begin("acc\_descr\_multiline");break;case 11:this.popState();break;case 12:return"acc\_descr\_multiline\_value";case 13:return 25;case 14:return 27;case 15:return 26;case 16:return 28;case 17:return 29;case 18:return 30;case 19:return 31;case 20:this.begin("md\_string");break;case 21:return"MD\_STR";case 22:this.popState();break;case 23:this.begin("string");break;case 24:this.popState();break;case 25:return"STR";case 26:return this.begin("point\_start"),22;case 27:return this.begin("point\_x"),23;case 28:this.popState();break;case 29:this.popState(),this.begin("point\_y");break;case 30:return this.popState(),24;case 31:return 6;case 32:return 43;case 33:return"COLON";case 34:return 45;case 35:return 44;case 36:return 46;case 37:return 46;case 38:return 47;case 39:return 49;case 40:return 50;case 41:return 48;case 42:return 41;case 43:return 51;case 44:return 42;case 45:return 5;case 46:return 33;case 47:return 40;case 48:return 34}},rules:\[/^(?:%%(?!\\{)\[^\\n\]\*)/i,/^(?:\[^\\}\]%%\[^\\n\]\*)/i,/^(?:\[\\n\\r\]+)/i,/^(?:%%\[^\\n\]\*)/i,/^(?:title\\b)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accTitle\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*\\{\\s\*)/i,/^(?:\[\\}\])/i,/^(?:\[^\\}\]\*)/i,/^(?: \*x-axis \*)/i,/^(?: \*y-axis \*)/i,/^(?: \*--+> \*)/i,/^(?: \*quadrant-1 \*)/i,/^(?: \*quadrant-2 \*)/i,/^(?: \*quadrant-3 \*)/i,/^(?: \*quadrant-4 \*)/i,/^(?:\["\]\[\`\])/i,/^(?:\[^\`"\]+)/i,/^(?:\[\`\]\["\])/i,/^(?:\["\])/i,/^(?:\["\])/i,/^(?:\[^"\]\*)/i,/^(?:\\s\*:\\s\*\\\[\\s\*)/i,/^(?:(1)|(0(.\\d+)?))/i,/^(?:\\s\*\\\] \*)/i,/^(?:\\s\*,\\s\*)/i,/^(?:(1)|(0(.\\d+)?))/i,/^(?: \*quadrantChart \*)/i,/^(?:\[A-Za-z\]+)/i,/^(?::)/i,/^(?:\\+)/i,/^(?:,)/i,/^(?:=)/i,/^(?:=)/i,/^(?:\\\*)/i,/^(?:#)/i,/^(?:\[\\\_\])/i,/^(?:\\.)/i,/^(?:&)/i,/^(?:-)/i,/^(?:\[0-9\]+)/i,/^(?:\\s)/i,/^(?:;)/i,/^(?:\[!"#$%&'\*+,-.\`?\\\\\_/\])/i,/^(?:$)/i\],conditions:{point\_y:{rules:\[30\],inclusive:!1},point\_x:{rules:\[29\],inclusive:!1},point\_start:{rules:\[27,28\],inclusive:!1},acc\_descr\_multiline:{rules:\[11,12\],inclusive:!1},acc\_descr:{rules:\[9\],inclusive:!1},acc\_title:{rules:\[7\],inclusive:!1},title:{rules:\[5\],inclusive:!1},md\_string:{rules:\[21,22\],inclusive:!1},string:{rules:\[24,25\],inclusive:!1},INITIAL:{rules:\[0,1,2,3,4,6,8,10,13,14,15,16,17,18,19,20,23,26,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48\],inclusive:!0}}};return Me}();Ft.lexer=ke;function pn(){this.yy={}}return pn.prototype=Ft,Ft.Parser=pn,new pn}();egt.parser=egt;const Lqe=egt,fg=nDt();class Mqe{constructor(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData()}getDefaultData(){return{titleText:"",quadrant1Text:"",quadrant2Text:"",quadrant3Text:"",quadrant4Text:"",xAxisLeftText:"",xAxisRightText:"",yAxisBottomText:"",yAxisTopText:"",points:\[\]}}getDefaultConfig(){var a,f,p,v,m,b,E,\_,L,N,B,j,R,z,K,it,st,ut;return{showXAxis:!0,showYAxis:!0,showTitle:!0,chartHeight:((a=Lf.quadrantChart)==null?void 0:a.chartWidth)||500,chartWidth:((f=Lf.quadrantChart)==null?void 0:f.chartHeight)||500,titlePadding:((p=Lf.quadrantChart)==null?void 0:p.titlePadding)||10,titleFontSize:((v=Lf.quadrantChart)==null?void 0:v.titleFontSize)||20,quadrantPadding:((m=Lf.quadrantChart)==null?void 0:m.quadrantPadding)||5,xAxisLabelPadding:((b=Lf.quadrantChart)==null?void 0:b.xAxisLabelPadding)||5,yAxisLabelPadding:((E=Lf.quadrantChart)==null?void 0:E.yAxisLabelPadding)||5,xAxisLabelFontSize:((\_=Lf.quadrantChart)==null?void 0:\_.xAxisLabelFontSize)||16,yAxisLabelFontSize:((L=Lf.quadrantChart)==null?void 0:L.yAxisLabelFontSize)||16,quadrantLabelFontSize:((N=Lf.quadrantChart)==null?void 0:N.quadrantLabelFontSize)||16,quadrantTextTopPadding:((B=Lf.quadrantChart)==null?void 0:B.quadrantTextTopPadding)||5,pointTextPadding:((j=Lf.quadrantChart)==null?void 0:j.pointTextPadding)||5,pointLabelFontSize:((R=Lf.quadrantChart)==null?void 0:R.pointLabelFontSize)||12,pointRadius:((z=Lf.quadrantChart)==null?void 0:z.pointRadius)||5,xAxisPosition:((K=Lf.quadrantChart)==null?void 0:K.xAxisPosition)||"top",yAxisPosition:((it=Lf.quadrantChart)==null?void 0:it.yAxisPosition)||"left",quadrantInternalBorderStrokeWidth:((st=Lf.quadrantChart)==null?void 0:st.quadrantInternalBorderStrokeWidth)||1,quadrantExternalBorderStrokeWidth:((ut=Lf.quadrantChart)==null?void 0:ut.quadrantExternalBorderStrokeWidth)||2}}getDefaultThemeConfig(){return{quadrant1Fill:fg.quadrant1Fill,quadrant2Fill:fg.quadrant2Fill,quadrant3Fill:fg.quadrant3Fill,quadrant4Fill:fg.quadrant4Fill,quadrant1TextFill:fg.quadrant1TextFill,quadrant2TextFill:fg.quadrant2TextFill,quadrant3TextFill:fg.quadrant3TextFill,quadrant4TextFill:fg.quadrant4TextFill,quadrantPointFill:fg.quadrantPointFill,quadrantPointTextFill:fg.quadrantPointTextFill,quadrantXAxisTextFill:fg.quadrantXAxisTextFill,quadrantYAxisTextFill:fg.quadrantYAxisTextFill,quadrantTitleFill:fg.quadrantTitleFill,quadrantInternalBorderStrokeFill:fg.quadrantInternalBorderStrokeFill,quadrantExternalBorderStrokeFill:fg.quadrantExternalBorderStrokeFill}}clear(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData(),Ut.info("clear called")}setData(a){this.data={...this.data,...a}}addPoints(a){this.data.points=\[...a,...this.data.points\]}setConfig(a){Ut.trace("setConfig called with: ",a),this.config={...this.config,...a}}setThemeConfig(a){Ut.trace("setThemeConfig called with: ",a),this.themeConfig={...this.themeConfig,...a}}calculateSpace(a,f,p,v){const m=this.config.xAxisLabelPadding\*2+this.config.xAxisLabelFontSize,b={top:a==="top"&&f?m:0,bottom:a==="bottom"&&f?m:0},E=this.config.yAxisLabelPadding\*2+this.config.yAxisLabelFontSize,\_={left:this.config.yAxisPosition==="left"&&p?E:0,right:this.config.yAxisPosition==="right"&&p?E:0},L=this.config.titleFontSize+this.config.titlePadding\*2,N={top:v?L:0},B=this.config.quadrantPadding+\_.left,j=this.config.quadrantPadding+b.top+N.top,R=this.config.chartWidth-this.config.quadrantPadding\*2-\_.left-\_.right,z=this.config.chartHeight-this.config.quadrantPadding\*2-b.top-b.bottom-N.top,K=R/2,it=z/2;return{xAxisSpace:b,yAxisSpace:\_,titleSpace:N,quadrantSpace:{quadrantLeft:B,quadrantTop:j,quadrantWidth:R,quadrantHalfWidth:K,quadrantHeight:z,quadrantHalfHeight:it}}}getAxisLabels(a,f,p,v){const{quadrantSpace:m,titleSpace:b}=v,{quadrantHalfHeight:E,quadrantHeight:\_,quadrantLeft:L,quadrantHalfWidth:N,quadrantTop:B,quadrantWidth:j}=m,R=this.data.points.length===0,z=\[\];return this.data.xAxisLeftText&&f&&z.push({text:this.data.xAxisLeftText,fill:this.themeConfig.quadrantXAxisTextFill,x:L+(R?N/2:0),y:a==="top"?this.config.xAxisLabelPadding+b.top:this.config.xAxisLabelPadding+B+\_+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:R?"center":"left",horizontalPos:"top",rotation:0}),this.data.xAxisRightText&&f&&z.push({text:this.data.xAxisRightText,fill:this.themeConfig.quadrantXAxisTextFill,x:L+N+(R?N/2:0),y:a==="top"?this.config.xAxisLabelPadding+b.top:this.config.xAxisLabelPadding+B+\_+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:R?"center":"left",horizontalPos:"top",rotation:0}),this.data.yAxisBottomText&&p&&z.push({text:this.data.yAxisBottomText,fill:this.themeConfig.quadrantYAxisTextFill,x:this.config.yAxisPosition==="left"?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+L+j+this.config.quadrantPadding,y:B+\_-(R?E/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:R?"center":"left",horizontalPos:"top",rotation:-90}),this.data.yAxisTopText&&p&&z.push({text:this.data.yAxisTopText,fill:this.themeConfig.quadrantYAxisTextFill,x:this.config.yAxisPosition==="left"?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+L+j+this.config.quadrantPadding,y:B+E-(R?E/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:R?"center":"left",horizontalPos:"top",rotation:-90}),z}getQuadrants(a){const{quadrantSpace:f}=a,{quadrantHalfHeight:p,quadrantLeft:v,quadrantHalfWidth:m,quadrantTop:b}=f,E=\[{text:{text:this.data.quadrant1Text,fill:this.themeConfig.quadrant1TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:v+m,y:b,width:m,height:p,fill:this.themeConfig.quadrant1Fill},{text:{text:this.data.quadrant2Text,fill:this.themeConfig.quadrant2TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:v,y:b,width:m,height:p,fill:this.themeConfig.quadrant2Fill},{text:{text:this.data.quadrant3Text,fill:this.themeConfig.quadrant3TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:v,y:b+p,width:m,height:p,fill:this.themeConfig.quadrant3Fill},{text:{text:this.data.quadrant4Text,fill:this.themeConfig.quadrant4TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:v+m,y:b+p,width:m,height:p,fill:this.themeConfig.quadrant4Fill}\];for(const \_ of E)\_.text.x=\_.x+\_.width/2,this.data.points.length===0?(\_.text.y=\_.y+\_.height/2,\_.text.horizontalPos="middle"):(\_.text.y=\_.y+this.config.quadrantTextTopPadding,\_.text.horizontalPos="top");return E}getQuadrantPoints(a){const{quadrantSpace:f}=a,{quadrantHeight:p,quadrantLeft:v,quadrantTop:m,quadrantWidth:b}=f,E=BU().domain(\[0,1\]).range(\[v,b+v\]),\_=BU().domain(\[0,1\]).range(\[p+m,m\]);return this.data.points.map(N=>({x:E(N.x),y:\_(N.y),fill:this.themeConfig.quadrantPointFill,radius:this.config.pointRadius,text:{text:N.text,fill:this.themeConfig.quadrantPointTextFill,x:E(N.x),y:\_(N.y)+this.config.pointTextPadding,verticalPos:"center",horizontalPos:"top",fontSize:this.config.pointLabelFontSize,rotation:0}}))}getBorders(a){const f=this.config.quadrantExternalBorderStrokeWidth/2,{quadrantSpace:p}=a,{quadrantHalfHeight:v,quadrantHeight:m,quadrantLeft:b,quadrantHalfWidth:E,quadrantTop:\_,quadrantWidth:L}=p;return\[{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:b-f,y1:\_,x2:b+L+f,y2:\_},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:b+L,y1:\_+f,x2:b+L,y2:\_+m-f},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:b-f,y1:\_+m,x2:b+L+f,y2:\_+m},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:b,y1:\_+f,x2:b,y2:\_+m-f},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:b+E,y1:\_+f,x2:b+E,y2:\_+m-f},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:b+f,y1:\_+v,x2:b+L-f,y2:\_+v}\]}getTitle(a){if(a)return{text:this.data.titleText,fill:this.themeConfig.quadrantTitleFill,fontSize:this.config.titleFontSize,horizontalPos:"top",verticalPos:"center",rotation:0,y:this.config.titlePadding,x:this.config.chartWidth/2}}build(){const a=this.config.showXAxis&&!!(this.data.xAxisLeftText||this.data.xAxisRightText),f=this.config.showYAxis&&!!(this.data.yAxisTopText||this.data.yAxisBottomText),p=this.config.showTitle&&!!this.data.titleText,v=this.data.points.length>0?"bottom":this.config.xAxisPosition,m=this.calculateSpace(v,a,f,p);return{points:this.getQuadrantPoints(m),quadrants:this.getQuadrants(m),axisLabels:this.getAxisLabels(v,a,f,m),borderLines:this.getBorders(m),title:this.getTitle(p)}}}const Iqe=Le();function M5(i){return Dd(i.trim(),Iqe)}const x0=new Mqe;function Dqe(i){x0.setData({quadrant1Text:M5(i.text)})}function Oqe(i){x0.setData({quadrant2Text:M5(i.text)})}function Nqe(i){x0.setData({quadrant3Text:M5(i.text)})}function Pqe(i){x0.setData({quadrant4Text:M5(i.text)})}function Fqe(i){x0.setData({xAxisLeftText:M5(i.text)})}function Bqe(i){x0.setData({xAxisRightText:M5(i.text)})}function Rqe(i){x0.setData({yAxisTopText:M5(i.text)})}function jqe(i){x0.setData({yAxisBottomText:M5(i.text)})}function $qe(i,a,f){x0.addPoints(\[{x:a,y:f,text:M5(i.text)}\])}function zqe(i){x0.setConfig({chartWidth:i})}function qqe(i){x0.setConfig({chartHeight:i})}function Hqe(){const i=Le(),{themeVariables:a,quadrantChart:f}=i;return f&&x0.setConfig(f),x0.setThemeConfig({quadrant1Fill:a.quadrant1Fill,quadrant2Fill:a.quadrant2Fill,quadrant3Fill:a.quadrant3Fill,quadrant4Fill:a.quadrant4Fill,quadrant1TextFill:a.quadrant1TextFill,quadrant2TextFill:a.quadrant2TextFill,quadrant3TextFill:a.quadrant3TextFill,quadrant4TextFill:a.quadrant4TextFill,quadrantPointFill:a.quadrantPointFill,quadrantPointTextFill:a.quadrantPointTextFill,quadrantXAxisTextFill:a.quadrantXAxisTextFill,quadrantYAxisTextFill:a.quadrantYAxisTextFill,quadrantExternalBorderStrokeFill:a.quadrantExternalBorderStrokeFill,quadrantInternalBorderStrokeFill:a.quadrantInternalBorderStrokeFill,quadrantTitleFill:a.quadrantTitleFill}),x0.setData({titleText:Db()}),x0.build()}const Gqe=Object.freeze(Object.defineProperty({\_\_proto\_\_:null,diagram:{parser:Lqe,db:{setWidth:zqe,setHeight:qqe,setQuadrant1Text:Dqe,setQuadrant2Text:Oqe,setQuadrant3Text:Nqe,setQuadrant4Text:Pqe,setXAxisLeftText:Fqe,setXAxisRightText:Bqe,setYAxisTopText:Rqe,setYAxisBottomText:jqe,addPoint:$qe,getQuadrantData:Hqe,clear:function(){x0.clear(),ap()},setAccTitle:cg,getAccTitle:op,setDiagramTitle:Z2,getDiagramTitle:Db,getAccDescription:up,setAccDescription:cp},renderer:{draw:(i,a,f,p)=>{var wt,X,pt;function v(U){return U==="top"?"hanging":"middle"}function m(U){return U==="left"?"start":"middle"}function b(U){return\`translate(${U.x}, ${U.y}) rotate(${U.rotation||0})\`}const E=Le();Ut.debug(\`Rendering quadrant chart \`+i);const \_=E.securityLevel;let L;\_==="sandbox"&&(L=yr("#i"+a));const B=yr(\_==="sandbox"?L.nodes()\[0\].contentDocument.body:"body").select(\`\[id="${a}"\]\`),j=B.append("g").attr("class","main"),R=((wt=E.quadrantChart)==null?void 0:wt.chartWidth)||500,z=((X=E.quadrantChart)==null?void 0:X.chartHeight)||500;og(B,z,R,((pt=E.quadrantChart)==null?void 0:pt.useMaxWidth)||!0),B.attr("viewBox","0 0 "+R+" "+z),p.db.setHeight(z),p.db.setWidth(R);const K=p.db.getQuadrantData(),it=j.append("g").attr("class","quadrants"),st=j.append("g").attr("class","border"),ut=j.append("g").attr("class","data-points"),bt=j.append("g").attr("class","labels"),mt=j.append("g").attr("class","title");K.title&&mt.append("text").attr("x",0).attr("y",0).attr("fill",K.title.fill).attr("font-size",K.title.fontSize).attr("dominant-baseline",v(K.title.horizontalPos)).attr("text-anchor",m(K.title.verticalPos)).attr("transform",b(K.title)).text(K.title.text),K.borderLines&&st.selectAll("line").data(K.borderLines).enter().append("line").attr("x1",U=>U.x1).attr("y1",U=>U.y1).attr("x2",U=>U.x2).attr("y2",U=>U.y2).style("stroke",U=>U.strokeFill).style("stroke-width",U=>U.strokeWidth);const yt=it.selectAll("g.quadrant").data(K.quadrants).enter().append("g").attr("class","quadrant");yt.append("rect").attr("x",U=>U.x).attr("y",U=>U.y).attr("width",U=>U.width).attr("height",U=>U.height).attr("fill",U=>U.fill),yt.append("text").attr("x",0).attr("y",0).attr("fill",U=>U.text.fill).attr("font-size",U=>U.text.fontSize).attr("dominant-baseline",U=>v(U.text.horizontalPos)).attr("text-anchor",U=>m(U.text.verticalPos)).attr("transform",U=>b(U.text)).text(U=>U.text.text),bt.selectAll("g.label").data(K.axisLabels).enter().append("g").attr("class","label").append("text").attr("x",0).attr("y",0).text(U=>U.text).attr("fill",U=>U.fill).attr("font-size",U=>U.fontSize).attr("dominant-baseline",U=>v(U.horizontalPos)).attr("text-anchor",U=>m(U.verticalPos)).attr("transform",U=>b(U));const 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Ke=new Error(ve);throw Ke.hash=Ge,Ke}},parse:function(ve){var Ge=this,Ke=\[0\],we=\[\],\_e=\[null\],$t=\[\],re=this.table,ie="",Oe=0,oe=0,Ne=2,me=1,cn=$t.slice.call(arguments,1),li=Object.create(this.lexer),ya={yy:{}};for(var da in this.yy)Object.prototype.hasOwnProperty.call(this.yy,da)&&(ya.yy\[da\]=this.yy\[da\]);li.setInput(ve,ya.yy),ya.yy.lexer=li,ya.yy.parser=this,typeof li.yylloc>"u"&&(li.yylloc={});var Oo=li.yylloc;$t.push(Oo);var ds=li.options&&li.options.ranges;typeof ya.yy.parseError=="function"?this.parseError=ya.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function Dr(){var Gs;return Gs=we.pop()||li.lex()||me,typeof Gs!="number"&&(Gs instanceof Array&&(we=Gs,Gs=we.pop()),Gs=Ge.symbols\_\[Gs\]||Gs),Gs}for(var nr,di,Ee,Yn,He={},Ti,gn,ks,qa;;){if(di=Ke\[Ke.length-1\],this.defaultActions\[di\]?Ee=this.defaultActions\[di\]:((nr===null||typeof nr>"u")&&(nr=Dr()),Ee=re\[di\]&&re\[di\]\[nr\]),typeof Ee>"u"||!Ee.length||!Ee\[0\]){var La="";qa=\[\];for(Ti in 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we=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),Ke.length-1&&(this.yylineno-=Ke.length-1);var \_e=this.yylloc.range;return this.yylloc={first\_line:this.yylloc.first\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.first\_column,last\_column:Ke?(Ke.length===we.length?this.yylloc.first\_column:0)+we\[we.length-Ke.length\].length-Ke\[0\].length:this.yylloc.first\_column-Ge},this.options.ranges&&(this.yylloc.range=\[\_e\[0\],\_e\[0\]+this.yyleng-Ge\]),this.yyleng=this.yytext.length,this},more:function(){return this.\_more=!0,this},reject:function(){if(this.options.backtrack\_lexer)this.\_backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+\`. 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this.popState(),"acc\_descr\_value";case 5:this.begin("acc\_descr\_multiline");break;case 6:this.popState();break;case 7:return"acc\_descr\_multiline\_value";case 8:return 5;case 9:break;case 10:break;case 11:break;case 12:return 8;case 13:return 6;case 14:return 19;case 15:return 30;case 16:return 22;case 17:return 21;case 18:return 24;case 19:return 26;case 20:return 28;case 21:return 31;case 22:return 32;case 23:return 33;case 24:return 34;case 25:return 35;case 26:return 36;case 27:return 37;case 28:return 38;case 29:return 39;case 30:return 40;case 31:return 41;case 32:return 42;case 33:return 43;case 34:return 44;case 35:return 55;case 36:return 56;case 37:return 57;case 38:return 58;case 39:return 59;case 40:return 60;case 41:return 61;case 42:return 47;case 43:return 49;case 44:return 51;case 45:return 54;case 46:return 53;case 47:this.begin("string");break;case 48:this.popState();break;case 49:return"qString";case 50:return Ke.yytext=Ke.yytext.trim(),62}},rules:\[/^(?:title\\s\[^#\\n;\]+)/i,/^(?:accTitle\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*\\{\\s\*)/i,/^(?:\[\\}\])/i,/^(?:\[^\\}\]\*)/i,/^(?:(\\r?\\n)+)/i,/^(?:\\s+)/i,/^(?:#\[^\\n\]\*)/i,/^(?:%\[^\\n\]\*)/i,/^(?:$)/i,/^(?:requirementDiagram\\b)/i,/^(?:\\{)/i,/^(?:\\})/i,/^(?::)/i,/^(?:id\\b)/i,/^(?:text\\b)/i,/^(?:risk\\b)/i,/^(?:verifyMethod\\b)/i,/^(?:requirement\\b)/i,/^(?:functionalRequirement\\b)/i,/^(?:interfaceRequirement\\b)/i,/^(?:performanceRequirement\\b)/i,/^(?:physicalRequirement\\b)/i,/^(?:designConstraint\\b)/i,/^(?:low\\b)/i,/^(?:medium\\b)/i,/^(?:high\\b)/i,/^(?:analysis\\b)/i,/^(?:demonstration\\b)/i,/^(?:inspection\\b)/i,/^(?:test\\b)/i,/^(?:element\\b)/i,/^(?:contains\\b)/i,/^(?:copies\\b)/i,/^(?:derives\\b)/i,/^(?:satisfies\\b)/i,/^(?:verifies\\b)/i,/^(?:refines\\b)/i,/^(?:traces\\b)/i,/^(?:type\\b)/i,/^(?:docref\\b)/i,/^(?:<-)/i,/^(?:->)/i,/^(?:-)/i,/^(?:\["\])/i,/^(?:\["\])/i,/^(?:\[^"\]\*)/i,/^(?:\[\\w\]\[^\\r\\n\\{\\<\\>\\-\\=\]\*)/i\],conditions:{acc\_descr\_multiline:{rules:\[6,7\],inclusive:!1},acc\_descr:{rules:\[4\],inclusive:!1},acc\_title:{rules:\[2\],inclusive:!1},unqString:{rules:\[\],inclusive:!1},token:{rules:\[\],inclusive:!1},string:{rules:\[48,49\],inclusive:!1},INITIAL:{rules:\[0,1,3,5,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,50\],inclusive:!0}}};return 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0&&(dp.id=i)},setNewReqText:i=>{dp!==void 0&&(dp.text=i)},setNewReqRisk:i=>{dp!==void 0&&(dp.risk=i)},setNewReqVerifyMethod:i=>{dp!==void 0&&(dp.verifyMethod=i)},setAccTitle:cg,getAccTitle:op,setAccDescription:cp,getAccDescription:up,addElement:i=>(IP\[i\]===void 0&&(IP\[i\]={name:i,type:fk.type,docRef:fk.docRef},Ut.info("Added new requirement: ",i)),fk={},IP\[i\]),getElements:()=>IP,setNewElementType:i=>{fk!==void 0&&(fk.type=i)},setNewElementDocRef:i=>{fk!==void 0&&(fk.docRef=i)},addRelationship:(i,a,f)=>{rgt.push({type:i,src:a,dst:f})},getRelationships:()=>rgt,clear:()=>{rgt=\[\],dp={},MP={},fk={},IP={},ap()}},Wqe=i=>\` marker { fill: ${i.relationColor}; stroke: ${i.relationColor}; } marker.cross { stroke: ${i.lineColor}; } svg { font-family: ${i.fontFamily}; font-size: ${i.fontSize}; } .reqBox { fill: ${i.requirementBackground}; fill-opacity: 1.0; stroke: ${i.requirementBorderColor}; stroke-width: ${i.requirementBorderSize}; } .reqTitle, .reqLabel{ fill: ${i.requirementTextColor}; 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in Ne\[Ti\])this.terminals\_\[La\]&&La>ya&&vs.push("'"+this.terminals\_\[La\]+"'");ds.showPosition?nu="Parse error on line "+(cn+1)+\`: \`+ds.showPosition()+\` Expecting \`+vs.join(", ")+", got '"+(this.terminals\_\[He\]||He)+"'":nu="Parse error on line "+(cn+1)+": Unexpected "+(He==da?"end of input":"'"+(this.terminals\_\[He\]||He)+"'"),this.parseError(nu,{text:ds.match,token:this.terminals\_\[He\]||He,line:ds.yylineno,loc:di,expected:vs})}if(gn\[0\]instanceof Array&&gn.length>1)throw new Error("Parse Error: multiple actions possible at state: "+Ti+", token: "+He);switch(gn\[0\]){case 1:re.push(He),Oe.push(ds.yytext),oe.push(ds.yylloc),re.push(gn\[1\]),He=null,li=ds.yyleng,me=ds.yytext,cn=ds.yylineno,di=ds.yylloc;break;case 2:if(Gs=this.productions\_\[gn\[1\]\]\[1\],qa.$=Oe\[Oe.length-Gs\],qa.\_$={first\_line:oe\[oe.length-(Gs||1)\].first\_line,last\_line:oe\[oe.length-1\].last\_line,first\_column:oe\[oe.length-(Gs||1)\].first\_column,last\_column:oe\[oe.length-1\].last\_column},Ee&&(qa.\_$.range=\[oe\[oe.length-(Gs||1)\].range\[0\],oe\[oe.length-1\].range\[1\]\]),ks=this.performAction.apply(qa,\[me,li,cn,Dr.yy,gn\[1\],Oe,oe\].concat(Oo)),typeof ks<"u")return ks;Gs&&(re=re.slice(0,-1\*Gs\*2),Oe=Oe.slice(0,-1\*Gs),oe=oe.slice(0,-1\*Gs)),re.push(this.productions\_\[gn\[1\]\]\[0\]),Oe.push(qa.$),oe.push(qa.\_$),No=Ne\[re\[re.length-2\]\]\[re\[re.length-1\]\],re.push(No);break;case 3:return!0}}return!0}},Ge=function(){var we={EOF:1,parseError:function($t,re){if(this.yy.parser)this.yy.parser.parseError($t,re);else throw new Error($t)},setInput:function(\_e,$t){return this.yy=$t||this.yy||{},this.\_input=\_e,this.\_more=this.\_backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=\["INITIAL"\],this.yylloc={first\_line:1,first\_column:0,last\_line:1,last\_column:0},this.options.ranges&&(this.yylloc.range=\[0,0\]),this.offset=0,this},input:function(){var \_e=this.\_input\[0\];this.yytext+=\_e,this.yyleng++,this.offset++,this.match+=\_e,this.matched+=\_e;var $t=\_e.match(/(?:\\r\\n?|\\n).\*/g);return $t?(this.yylineno++,this.yylloc.last\_line++):this.yylloc.last\_column++,this.options.ranges&&this.yylloc.range\[1\]++,this.\_input=this.\_input.slice(1),\_e},unput:function(\_e){var $t=\_e.length,re=\_e.split(/(?:\\r\\n?|\\n)/g);this.\_input=\_e+this.\_input,this.yytext=this.yytext.substr(0,this.yytext.length-$t),this.offset-=$t;var ie=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),re.length-1&&(this.yylineno-=re.length-1);var Oe=this.yylloc.range;return this.yylloc={first\_line:this.yylloc.first\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.first\_column,last\_column:re?(re.length===ie.length?this.yylloc.first\_column:0)+ie\[ie.length-re.length\].length-re\[0\].length:this.yylloc.first\_column-$t},this.options.ranges&&(this.yylloc.range=\[Oe\[0\],Oe\[0\]+this.yyleng-$t\]),this.yyleng=this.yytext.length,this},more:function(){return this.\_more=!0,this},reject:function(){if(this.options.backtrack\_lexer)this.\_backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+\`. 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Unrecognized text. \`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var $t=this.next();return $t||this.lex()},begin:function($t){this.conditionStack.push($t)},popState:function(){var $t=this.conditionStack.length-1;return $t>0?this.conditionStack.pop():this.conditionStack\[0\]},\_currentRules:function(){return this.conditionStack.length&&this.conditionStack\[this.conditionStack.length-1\]?this.conditions\[this.conditionStack\[this.conditionStack.length-1\]\].rules:this.conditions.INITIAL.rules},topState:function($t){return $t=this.conditionStack.length-1-Math.abs($t||0),$t>=0?this.conditionStack\[$t\]:"INITIAL"},pushState:function($t){this.begin($t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function($t,re,ie,Oe){switch(ie){case 0:return 5;case 1:break;case 2:break;case 3:break;case 4:break;case 5:break;case 6:return 19;case 7:return this.begin("LINE"),14;case 8:return this.begin("ID"),50;case 9:return this.begin("ID"),52;case 10:return 13;case 11:return this.begin("ID"),53;case 12:return re.yytext=re.yytext.trim(),this.begin("ALIAS"),70;case 13:return this.popState(),this.popState(),this.begin("LINE"),51;case 14:return this.popState(),this.popState(),5;case 15:return this.begin("LINE"),36;case 16:return this.begin("LINE"),37;case 17:return this.begin("LINE"),38;case 18:return this.begin("LINE"),39;case 19:return this.begin("LINE"),49;case 20:return this.begin("LINE"),41;case 21:return this.begin("LINE"),43;case 22:return this.begin("LINE"),48;case 23:return this.begin("LINE"),44;case 24:return this.begin("LINE"),47;case 25:return this.begin("LINE"),46;case 26:return this.popState(),15;case 27:return 16;case 28:return 65;case 29:return 66;case 30:return 59;case 31:return 60;case 32:return 61;case 33:return 62;case 34:return 57;case 35:return 54;case 36:return this.begin("ID"),21;case 37:return this.begin("ID"),23;case 38:return 29;case 39:return 30;case 40:return this.begin("acc\_title"),31;case 41:return this.popState(),"acc\_title\_value";case 42:return this.begin("acc\_descr"),33;case 43:return this.popState(),"acc\_descr\_value";case 44:this.begin("acc\_descr\_multiline");break;case 45:this.popState();break;case 46:return"acc\_descr\_multiline\_value";case 47:return 6;case 48:return 18;case 49:return 20;case 50:return 64;case 51:return 5;case 52:return re.yytext=re.yytext.trim(),70;case 53:return 73;case 54:return 74;case 55:return 71;case 56:return 72;case 57:return 75;case 58:return 76;case 59:return 77;case 60:return 78;case 61:return 79;case 62:return 68;case 63:return 69;case 64:return 5;case 65:return"INVALID"}},rules:\[/^(?:\[\\n\]+)/i,/^(?:\\s+)/i,/^(?:((?!\\n)\\s)+)/i,/^(?:#\[^\\n\]\*)/i,/^(?:%(?!\\{)\[^\\n\]\*)/i,/^(?:\[^\\}\]%%\[^\\n\]\*)/i,/^(?:\[0-9\]+(?=\[ \\n\]+))/i,/^(?:box\\b)/i,/^(?:participant\\b)/i,/^(?:actor\\b)/i,/^(?:create\\b)/i,/^(?:destroy\\b)/i,/^(?:\[^\\->:\\n,;\]+?(\[\\-\]\*\[^\\->:\\n,;\]+?)\*?(?=((?!\\n)\\s)+as(?!\\n)\\s|\[#\\n;\]|$))/i,/^(?:as\\b)/i,/^(?:(?:))/i,/^(?:loop\\b)/i,/^(?:rect\\b)/i,/^(?:opt\\b)/i,/^(?:alt\\b)/i,/^(?:else\\b)/i,/^(?:par\\b)/i,/^(?:par\_over\\b)/i,/^(?:and\\b)/i,/^(?:critical\\b)/i,/^(?:option\\b)/i,/^(?:break\\b)/i,/^(?:(?:\[:\]?(?:no)?wrap)?\[^#\\n;\]\*)/i,/^(?:end\\b)/i,/^(?:left of\\b)/i,/^(?:right of\\b)/i,/^(?:links\\b)/i,/^(?:link\\b)/i,/^(?:properties\\b)/i,/^(?:details\\b)/i,/^(?:over\\b)/i,/^(?:note\\b)/i,/^(?:activate\\b)/i,/^(?:deactivate\\b)/i,/^(?:title\\s\[^#\\n;\]+)/i,/^(?:title:\\s\[^#\\n;\]+)/i,/^(?:accTitle\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*\\{\\s\*)/i,/^(?:\[\\}\])/i,/^(?:\[^\\}\]\*)/i,/^(?:sequenceDiagram\\b)/i,/^(?:autonumber\\b)/i,/^(?:off\\b)/i,/^(?:,)/i,/^(?:;)/i,/^(?:\[^\\+\\->:\\n,;\]+((?!(-x|--x|-\\)|--\\)))\[\\-\]\*\[^\\+\\->:\\n,;\]+)\*)/i,/^(?:->>)/i,/^(?:-->>)/i,/^(?:->)/i,/^(?:-->)/i,/^(?:-\[x\])/i,/^(?:--\[x\])/i,/^(?:-\[\\)\])/i,/^(?:--\[\\)\])/i,/^(?::(?:(?:no)?wrap)?\[^#\\n;\]+)/i,/^(?:\\+)/i,/^(?:-)/i,/^(?:$)/i,/^(?:.)/i\],conditions:{acc\_descr\_multiline:{rules:\[45,46\],inclusive:!1},acc\_descr:{rules:\[43\],inclusive:!1},acc\_title:{rules:\[41\],inclusive:!1},ID:{rules:\[2,3,12\],inclusive:!1},ALIAS:{rules:\[2,3,13,14\],inclusive:!1},LINE:{rules:\[2,3,26\],inclusive:!1},INITIAL:{rules:\[0,1,3,4,5,6,7,8,9,10,11,15,16,17,18,19,20,21,22,23,24,25,27,28,29,30,31,32,33,34,35,36,37,38,39,40,42,44,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65\],inclusive:!0}}};return we}();ve.lexer=Ge;function Ke(){this.yy={}}return Ke.prototype=ve,ve.Parser=Ke,new Ke}();sgt.parser=sgt;const eHe=sgt;let DP,I5={},agt={},ogt={},cL=\[\],Bb=\[\],SK=!1,cgt,D5,OP,uL;const nHe=function(i){cL.push({name:i.text,wrap:i.wrap===void 0&&kT()||!!i.wrap,fill:i.color,actorKeys:\[\]}),D5=cL.slice(-1)\[0\]},ugt=function(i,a,f,p){let v=D5;const m=I5\[i\];if(m){if(D5&&m.box&&D5!==m.box)throw new Error("A same participant should only be defined in one Box: "+m.name+" can't be in '"+m.box.name+"' and in '"+D5.name+"' at the same time.");if(v=m.box?m.box:D5,m.box=v,m&&a===m.name&&f==null)return}(f==null||f.text==null)&&(f={text:a,wrap:null,type:p}),(p==null||f.text==null)&&(f={text:a,wrap:null,type:p}),I5\[i\]={box:v,name:a,description:f.text,wrap:f.wrap===void 0&&kT()||!!f.wrap,prevActor:DP,links:{},properties:{},actorCnt:null,rectData:null,type:p||"participant"},DP&&I5\[DP\]&&(I5\[DP\].nextActor=i),D5&&D5.actorKeys.push(i),DP=i},rHe=i=>{let a,f=0;for(a=0;a>-",token:"->>-",line:"1",loc:{first\_line:1,last\_line:1,first\_column:1,last\_column:1},expected:\["'ACTIVE\_PARTICIPANT'"\]},b}return Bb.push({from:i,to:a,message:f.text,wrap:f.wrap===void 0&&kT()||!!f.wrap,type:p,activate:v}),!0},sHe=function(){return cL.length>0},aHe=function(){return cL.some(i=>i.name)},oHe=function(){return Bb},cHe=function(){return cL},uHe=function(){return I5},lHe=function(){return agt},hHe=function(){return ogt},NP=function(i){return I5\[i\]},fHe=function(){return Object.keys(I5)},dHe=function(){SK=!0},gHe=function(){SK=!1},pHe=()=>SK,bHe=function(i){cgt=i},kT=()=>cgt!==void 0?cgt:Le().sequence.wrap,vHe=function(){I5={},agt={},ogt={},cL=\[\],Bb=\[\],SK=!1,ap()},wHe=function(i){const a=i.trim(),f={text:a.replace(/^:?(?:no)?wrap:/,"").trim(),wrap:a.match(/^:?wrap:/)!==null?!0:a.match(/^:?nowrap:/)!==null?!1:void 0};return Ut.debug("parseMessage:",f),f},mHe=function(i){const a=i.match(/^((?:rgba?|hsla?)\\s\*\\(.\*\\)|\\w\*)(.\*)$/);let f=a!=null&&a\[1\]?a\[1\].trim():"transparent",p=a!=null&&a\[2\]?a\[2\].trim():void 0;if(window&&window.CSS)window.CSS.supports("color",f)||(f="transparent",p=i.trim());else{const m=new Option().style;m.color=f,m.color!==f&&(f="transparent",p=i.trim())}return{color:f,text:p!==void 0?Dd(p.replace(/^:?(?:no)?wrap:/,""),Le()):void 0,wrap:p!==void 0?p.match(/^:?wrap:/)!==null?!0:p.match(/^:?nowrap:/)!==null?!1:void 0:void 0}},PP={SOLID:0,DOTTED:1,NOTE:2,SOLID\_CROSS:3,DOTTED\_CROSS:4,SOLID\_OPEN:5,DOTTED\_OPEN:6,LOOP\_START:10,LOOP\_END:11,ALT\_START:12,ALT\_ELSE:13,ALT\_END:14,OPT\_START:15,OPT\_END:16,ACTIVE\_START:17,ACTIVE\_END:18,PAR\_START:19,PAR\_AND:20,PAR\_END:21,RECT\_START:22,RECT\_END:23,SOLID\_POINT:24,DOTTED\_POINT:25,AUTONUMBER:26,CRITICAL\_START:27,CRITICAL\_OPTION:28,CRITICAL\_END:29,BREAK\_START:30,BREAK\_END:31,PAR\_OVER\_START:32},yHe={FILLED:0,OPEN:1},xHe={LEFTOF:0,RIGHTOF:1,OVER:2},hRt=function(i,a,f){f.text,f.wrap===void 0&&kT()||f.wrap;const p=\[\].concat(i,i);Bb.push({from:p\[0\],to:p\[1\],message:f.text,wrap:f.wrap===void 0&&kT()||!!f.wrap,type:PP.NOTE,placement:a})},fRt=function(i,a){const f=NP(i);try{let p=Dd(a.text,Le());p=p.replace(/&/g,"&"),p=p.replace(/=/g,"=");const v=JSON.parse(p);lgt(f,v)}catch(p){Ut.error("error while parsing actor link text",p)}},kHe=function(i,a){const f=NP(i);try{const b={};let E=Dd(a.text,Le());var p=E.indexOf("@");E=E.replace(/&/g,"&"),E=E.replace(/=/g,"=");var v=E.slice(0,p-1).trim(),m=E.slice(p+1).trim();b\[v\]=m,lgt(f,b)}catch(b){Ut.error("error while parsing actor link text",b)}};function lgt(i,a){if(i.links==null)i.links=a;else for(let f in a)i.links\[f\]=a\[f\]}const dRt=function(i,a){const f=NP(i);try{let p=Dd(a.text,Le());const v=JSON.parse(p);gRt(f,v)}catch(p){Ut.error("error while parsing actor properties text",p)}};function gRt(i,a){if(i.properties==null)i.properties=a;else for(let f in a)i.properties\[f\]=a\[f\]}function EHe(){D5=void 0}const pRt=function(i,a){const f=NP(i),p=document.getElementById(a.text);try{const v=p.innerHTML,m=JSON.parse(v);m.properties&&gRt(f,m.properties),m.links&&lgt(f,m.links)}catch(v){Ut.error("error while parsing actor details text",v)}},THe=function(i,a){if(i!==void 0&&i.properties!==void 0)return i.properties\[a\]},bRt=function(i){if(Array.isArray(i))i.forEach(function(a){bRt(a)});else switch(i.type){case"sequenceIndex":Bb.push({from:void 0,to:void 0,message:{start:i.sequenceIndex,step:i.sequenceIndexStep,visible:i.sequenceVisible},wrap:!1,type:i.signalType});break;case"addParticipant":ugt(i.actor,i.actor,i.description,i.draw);break;case"createParticipant":if(I5\[i.actor\])throw new Error("It is not possible to have actors with the same id, even if one is destroyed before the next is created. Use 'AS' aliases to simulate the behavior");OP=i.actor,ugt(i.actor,i.actor,i.description,i.draw),agt\[i.actor\]=Bb.length;break;case"destroyParticipant":uL=i.actor,ogt\[i.actor\]=Bb.length;break;case"activeStart":Zh(i.actor,void 0,void 0,i.signalType);break;case"activeEnd":Zh(i.actor,void 0,void 0,i.signalType);break;case"addNote":hRt(i.actor,i.placement,i.text);break;case"addLinks":fRt(i.actor,i.text);break;case"addALink":kHe(i.actor,i.text);break;case"addProperties":dRt(i.actor,i.text);break;case"addDetails":pRt(i.actor,i.text);break;case"addMessage":if(OP){if(i.to!==OP)throw new Error("The created participant "+OP+" does not have an associated creating message after its declaration. Please check the sequence diagram.");OP=void 0}else if(uL){if(i.to!==uL&&i.from!==uL)throw new Error("The destroyed participant "+uL+" does not have an associated destroying message after its declaration. 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N=v.sequenceItems.length-m+1;v.updateVal(L,"starty",a-N\*fn.boxMargin,Math.min),v.updateVal(L,"stopy",p+N\*fn.boxMargin,Math.max),v.updateVal(Pr.data,"startx",i-N\*fn.boxMargin,Math.min),v.updateVal(Pr.data,"stopx",f+N\*fn.boxMargin,Math.max),E!=="activation"&&(v.updateVal(L,"startx",i-N\*fn.boxMargin,Math.min),v.updateVal(L,"stopx",f+N\*fn.boxMargin,Math.max),v.updateVal(Pr.data,"starty",a-N\*fn.boxMargin,Math.min),v.updateVal(Pr.data,"stopy",p+N\*fn.boxMargin,Math.max))}}this.sequenceItems.forEach(b()),this.activations.forEach(b("activation"))},insert:function(i,a,f,p){const v=Yr.getMin(i,f),m=Yr.getMax(i,f),b=Yr.getMin(a,p),E=Yr.getMax(a,p);this.updateVal(Pr.data,"startx",v,Math.min),this.updateVal(Pr.data,"starty",b,Math.min),this.updateVal(Pr.data,"stopx",m,Math.max),this.updateVal(Pr.data,"stopy",E,Math.max),this.updateBounds(v,b,m,E)},newActivation:function(i,a,f){const p=f\[i.from.actor\],v=AK(i.from.actor).length||0,m=p.x+p.width/2+(v-1)\*fn.activationWidth/2;this.activations.push({startx:m,starty:this.verticalPos+2,stopx:m+fn.activationWidth,stopy:void 0,actor:i.from.actor,anchored:Jh.anchorElement(a)})},endActivation:function(i){const a=this.activations.map(function(f){return f.actor}).lastIndexOf(i.from.actor);return this.activations.splice(a,1)\[0\]},createLoop:function(i={message:void 0,wrap:!1,width:void 0},a){return{startx:void 0,starty:this.verticalPos,stopx:void 0,stopy:void 0,title:i.message,wrap:i.wrap,width:i.width,height:0,fill:a}},newLoop:function(i={message:void 0,wrap:!1,width:void 0},a){this.sequenceItems.push(this.createLoop(i,a))},endLoop:function(){return this.sequenceItems.pop()},isLoopOverlap:function(){return this.sequenceItems.length?this.sequenceItems\[this.sequenceItems.length-1\].overlap:!1},addSectionToLoop:function(i){const a=this.sequenceItems.pop();a.sections=a.sections||\[\],a.sectionTitles=a.sectionTitles||\[\],a.sections.push({y:Pr.getVerticalPos(),height:0}),a.sectionTitles.push(i),this.sequenceItems.push(a)},saveVerticalPos:function(){this.isLoopOverlap()&&(this.savedVerticalPos=this.verticalPos)},resetVerticalPos:function(){this.isLoopOverlap()&&(this.verticalPos=this.savedVerticalPos)},bumpVerticalPos:function(i){this.verticalPos=this.verticalPos+i,this.data.stopy=Yr.getMax(this.data.stopy,this.verticalPos)},getVerticalPos:function(){return this.verticalPos},getBounds:function(){return{bounds:this.data,models:this.models}}},WHe=function(i,a){Pr.bumpVerticalPos(fn.boxMargin),a.height=fn.boxMargin,a.starty=Pr.getVerticalPos();const f=fT();f.x=a.startx,f.y=a.starty,f.width=a.width||fn.width,f.class="note";const p=i.append("g"),v=Jh.drawRect(p,f),m=Pdt();m.x=a.startx,m.y=a.starty,m.width=f.width,m.dy="1em",m.text=a.message,m.class="noteText",m.fontFamily=fn.noteFontFamily,m.fontSize=fn.noteFontSize,m.fontWeight=fn.noteFontWeight,m.anchor=fn.noteAlign,m.textMargin=fn.noteMargin,m.valign="center";const b=lL(p,m),E=Math.round(b.map(\_=>(\_.\_groups||\_)\[0\]\[0\].getBBox().height).reduce((\_,L)=>\_+L));v.attr("height",E+2\*fn.noteMargin),a.height+=E+2\*fn.noteMargin,Pr.bumpVerticalPos(E+2\*fn.noteMargin),a.stopy=a.starty+E+2\*fn.noteMargin,a.stopx=a.startx+f.width,Pr.insert(a.startx,a.starty,a.stopx,a.stopy),Pr.models.addNote(a)},TT=i=>({fontFamily:i.messageFontFamily,fontSize:i.messageFontSize,fontWeight:i.messageFontWeight}),hL=i=>({fontFamily:i.noteFontFamily,fontSize:i.noteFontSize,fontWeight:i.noteFontWeight}),dgt=i=>({fontFamily:i.actorFontFamily,fontSize:i.actorFontSize,fontWeight:i.actorFontWeight});function KHe(i,a){Pr.bumpVerticalPos(10);const{startx:f,stopx:p,message:v}=a,m=Yr.splitBreaks(v).length,b=$a.calculateTextDimensions(v,TT(fn)),E=b.height/m;a.height+=E,Pr.bumpVerticalPos(E);let \_,L=b.height-10;const N=b.width;if(f===p){\_=Pr.getVerticalPos()+L,fn.rightAngles||(L+=fn.boxMargin,\_=Pr.getVerticalPos()+L),L+=30;const B=Yr.getMax(N/2,fn.width/2);Pr.insert(f-B,Pr.getVerticalPos()-10+L,p+B,Pr.getVerticalPos()+30+L)}else L+=fn.boxMargin,\_=Pr.getVerticalPos()+L,Pr.insert(f,\_-10,p,\_);return Pr.bumpVerticalPos(L),a.height+=L,a.stopy=a.starty+a.height,Pr.insert(a.fromBounds,a.starty,a.toBounds,a.stopy),\_}const YHe=function(i,a,f,p){const{startx:v,stopx:m,starty:b,message:E,type:\_,sequenceIndex:L,sequenceVisible:N}=a,B=$a.calculateTextDimensions(E,TT(fn)),j=Pdt();j.x=v,j.y=b+10,j.width=m-v,j.class="messageText",j.dy="1em",j.text=E,j.fontFamily=fn.messageFontFamily,j.fontSize=fn.messageFontSize,j.fontWeight=fn.messageFontWeight,j.anchor=fn.messageAlign,j.valign="center",j.textMargin=fn.wrapPadding,j.tspan=!1,lL(i,j);const R=B.width;let z;v===m?fn.rightAngles?z=i.append("path").attr("d",\`M ${v},${f} H ${v+Yr.getMax(fn.width/2,R/2)} V ${f+25} H ${v}\`):z=i.append("path").attr("d","M "+v+","+f+" C "+(v+60)+","+(f-10)+" "+(v+60)+","+(f+30)+" "+v+","+(f+20)):(z=i.append("line"),z.attr("x1",v),z.attr("y1",f),z.attr("x2",m),z.attr("y2",f)),\_===p.db.LINETYPE.DOTTED||\_===p.db.LINETYPE.DOTTED\_CROSS||\_===p.db.LINETYPE.DOTTED\_POINT||\_===p.db.LINETYPE.DOTTED\_OPEN?(z.style("stroke-dasharray","3, 3"),z.attr("class","messageLine1")):z.attr("class","messageLine0");let K="";fn.arrowMarkerAbsolute&&(K=window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search,K=K.replace(/\\(/g,"\\\\("),K=K.replace(/\\)/g,"\\\\)")),z.attr("stroke-width",2),z.attr("stroke","none"),z.style("fill","none"),(\_===p.db.LINETYPE.SOLID||\_===p.db.LINETYPE.DOTTED)&&z.attr("marker-end","url("+K+"#arrowhead)"),(\_===p.db.LINETYPE.SOLID\_POINT||\_===p.db.LINETYPE.DOTTED\_POINT)&&z.attr("marker-end","url("+K+"#filled-head)"),(\_===p.db.LINETYPE.SOLID\_CROSS||\_===p.db.LINETYPE.DOTTED\_CROSS)&&z.attr("marker-end","url("+K+"#crosshead)"),(N||fn.showSequenceNumbers)&&(z.attr("marker-start","url("+K+"#sequencenumber)"),i.append("text").attr("x",v).attr("y",f+4).attr("font-family","sans-serif").attr("font-size","12px").attr("text-anchor","middle").attr("class","sequenceNumber").text(L))},XHe=function(i,a,f,p,v,m,b){let E=0,\_=0,L,N=0;for(const B of p){const j=a\[B\],R=j.box;L&&L!=R&&(b||Pr.models.addBox(L),\_+=fn.boxMargin+L.margin),R&&R!=L&&(b||(R.x=E+\_,R.y=v),\_+=R.margin),j.width=j.width||fn.width,j.height=Yr.getMax(j.height||fn.height,fn.height),j.margin=j.margin||fn.actorMargin,N=Yr.getMax(N,j.height),f\[j.name\]&&(\_+=j.width/2),j.x=E+\_,j.starty=Pr.getVerticalPos(),Pr.insert(j.x,v,j.x+j.width,j.height),E+=j.width+\_,j.box&&(j.box.width=E+R.margin-j.box.x),\_=j.margin,L=j.box,Pr.models.addActor(j)}L&&!b&&Pr.models.addBox(L),Pr.bumpVerticalPos(N)},ggt=function(i,a,f,p){if(p){let v=0;Pr.bumpVerticalPos(fn.boxMargin\*2);for(const m of f){const b=a\[m\];b.stopy||(b.stopy=Pr.getVerticalPos());const E=Jh.drawActor(i,b,fn,!0);v=Yr.getMax(v,E)}Pr.bumpVerticalPos(v+fn.boxMargin)}else for(const v of f){const m=a\[v\];Jh.drawActor(i,m,fn,!1)}},ERt=function(i,a,f,p){let v=0,m=0;for(const b of f){const E=a\[b\],\_=tGe(E),L=Jh.drawPopup(i,E,\_,fn,fn.forceMenus,p);L.height>v&&(v=L.height),L.width+E.x>m&&(m=L.width+E.x)}return{maxHeight:v,maxWidth:m}},TRt=function(i){Y1(fn,i),i.fontFamily&&(fn.actorFontFamily=fn.noteFontFamily=fn.messageFontFamily=i.fontFamily),i.fontSize&&(fn.actorFontSize=fn.noteFontSize=fn.messageFontSize=i.fontSize),i.fontWeight&&(fn.actorFontWeight=fn.noteFontWeight=fn.messageFontWeight=i.fontWeight)},AK=function(i){return Pr.activations.filter(function(a){return a.actor===i})},CRt=function(i,a){const f=a\[i\],p=AK(i),v=p.reduce(function(b,E){return Yr.getMin(b,E.startx)},f.x+f.width/2-1),m=p.reduce(function(b,E){return Yr.getMax(b,E.stopx)},f.x+f.width/2+1);return\[v,m\]};function y3(i,a,f,p,v){Pr.bumpVerticalPos(f);let m=p;if(a.id&&a.message&&i\[a.id\]){const b=i\[a.id\].width,E=TT(fn);a.message=$a.wrapLabel(\`\[${a.message}\]\`,b-2\*fn.wrapPadding,E),a.width=b,a.wrap=!0;const \_=$a.calculateTextDimensions(a.message,E),L=Yr.getMax(\_.height,fn.labelBoxHeight);m=p+L,Ut.debug(\`${L} - ${a.message}\`)}v(a),Pr.bumpVerticalPos(m)}function QHe(i,a,f,p,v,m,b){function E(L,N){L.x{Ct.add(Z.from),Ct.add(Z.to)}),z=z.filter(Z=>Ct.has(Z))}XHe(L,N,B,z,0,K,!1);const mt=iGe(K,N,bt,p);Jh.insertArrowHead(L),Jh.insertArrowCrossHead(L),Jh.insertArrowFilledHead(L),Jh.insertSequenceNumber(L);function yt(Ct,Z){const Tt=Pr.endActivation(Ct);Tt.starty+18>Z&&(Tt.starty=Z-6,Z+=12),Jh.drawActivation(L,Tt,Z,fn,AK(Ct.from.actor).length),Pr.insert(Tt.startx,Z-10,Tt.stopx,Z)}let dt=1,ht=1;const wt=\[\],X=\[\];K.forEach(function(Ct,Z){let Tt,Ht,It;switch(Ct.type){case p.db.LINETYPE.NOTE:Pr.resetVerticalPos(),Ht=Ct.noteModel,WHe(L,Ht);break;case p.db.LINETYPE.ACTIVE\_START:Pr.newActivation(Ct,L,N);break;case p.db.LINETYPE.ACTIVE\_END:yt(Ct,Pr.getVerticalPos());break;case p.db.LINETYPE.LOOP\_START:y3(mt,Ct,fn.boxMargin,fn.boxMargin+fn.boxTextMargin,Ft=>Pr.newLoop(Ft));break;case p.db.LINETYPE.LOOP\_END:Tt=Pr.endLoop(),Jh.drawLoop(L,Tt,"loop",fn),Pr.bumpVerticalPos(Tt.stopy-Pr.getVerticalPos()),Pr.models.addLoop(Tt);break;case p.db.LINETYPE.RECT\_START:y3(mt,Ct,fn.boxMargin,fn.boxMargin,Ft=>Pr.newLoop(void 0,Ft.message));break;case p.db.LINETYPE.RECT\_END:Tt=Pr.endLoop(),X.push(Tt),Pr.models.addLoop(Tt),Pr.bumpVerticalPos(Tt.stopy-Pr.getVerticalPos());break;case p.db.LINETYPE.OPT\_START:y3(mt,Ct,fn.boxMargin,fn.boxMargin+fn.boxTextMargin,Ft=>Pr.newLoop(Ft));break;case p.db.LINETYPE.OPT\_END:Tt=Pr.endLoop(),Jh.drawLoop(L,Tt,"opt",fn),Pr.bumpVerticalPos(Tt.stopy-Pr.getVerticalPos()),Pr.models.addLoop(Tt);break;case p.db.LINETYPE.ALT\_START:y3(mt,Ct,fn.boxMargin,fn.boxMargin+fn.boxTextMargin,Ft=>Pr.newLoop(Ft));break;case p.db.LINETYPE.ALT\_ELSE:y3(mt,Ct,fn.boxMargin+fn.boxTextMargin,fn.boxMargin,Ft=>Pr.addSectionToLoop(Ft));break;case p.db.LINETYPE.ALT\_END:Tt=Pr.endLoop(),Jh.drawLoop(L,Tt,"alt",fn),Pr.bumpVerticalPos(Tt.stopy-Pr.getVerticalPos()),Pr.models.addLoop(Tt);break;case p.db.LINETYPE.PAR\_START:case p.db.LINETYPE.PAR\_OVER\_START:y3(mt,Ct,fn.boxMargin,fn.boxMargin+fn.boxTextMargin,Ft=>Pr.newLoop(Ft)),Pr.saveVerticalPos();break;case p.db.LINETYPE.PAR\_AND:y3(mt,Ct,fn.boxMargin+fn.boxTextMargin,fn.boxMargin,Ft=>Pr.addSectionToLoop(Ft));break;case p.db.LINETYPE.PAR\_END:Tt=Pr.endLoop(),Jh.drawLoop(L,Tt,"par",fn),Pr.bumpVerticalPos(Tt.stopy-Pr.getVerticalPos()),Pr.models.addLoop(Tt);break;case p.db.LINETYPE.AUTONUMBER:dt=Ct.message.start||dt,ht=Ct.message.step||ht,Ct.message.visible?p.db.enableSequenceNumbers():p.db.disableSequenceNumbers();break;case p.db.LINETYPE.CRITICAL\_START:y3(mt,Ct,fn.boxMargin,fn.boxMargin+fn.boxTextMargin,Ft=>Pr.newLoop(Ft));break;case p.db.LINETYPE.CRITICAL\_OPTION:y3(mt,Ct,fn.boxMargin+fn.boxTextMargin,fn.boxMargin,Ft=>Pr.addSectionToLoop(Ft));break;case p.db.LINETYPE.CRITICAL\_END:Tt=Pr.endLoop(),Jh.drawLoop(L,Tt,"critical",fn),Pr.bumpVerticalPos(Tt.stopy-Pr.getVerticalPos()),Pr.models.addLoop(Tt);break;case p.db.LINETYPE.BREAK\_START:y3(mt,Ct,fn.boxMargin,fn.boxMargin+fn.boxTextMargin,Ft=>Pr.newLoop(Ft));break;case p.db.LINETYPE.BREAK\_END:Tt=Pr.endLoop(),Jh.drawLoop(L,Tt,"break",fn),Pr.bumpVerticalPos(Tt.stopy-Pr.getVerticalPos()),Pr.models.addLoop(Tt);break;default:try{It=Ct.msgModel,It.starty=Pr.getVerticalPos(),It.sequenceIndex=dt,It.sequenceVisible=p.db.showSequenceNumbers();const Ft=KHe(L,It);QHe(Ct,It,Ft,Z,N,B,j),wt.push({messageModel:It,lineStartY:Ft}),Pr.models.addMessage(It)}catch(Ft){Ut.error("error while drawing message",Ft)}}\[p.db.LINETYPE.SOLID\_OPEN,p.db.LINETYPE.DOTTED\_OPEN,p.db.LINETYPE.SOLID,p.db.LINETYPE.DOTTED,p.db.LINETYPE.SOLID\_CROSS,p.db.LINETYPE.DOTTED\_CROSS,p.db.LINETYPE.SOLID\_POINT,p.db.LINETYPE.DOTTED\_POINT\].includes(Ct.type)&&(dt=dt+ht)}),Ut.debug("createdActors",B),Ut.debug("destroyedActors",j),ggt(L,N,z,!1),wt.forEach(Ct=>YHe(L,Ct.messageModel,Ct.lineStartY,p)),fn.mirrorActors&&ggt(L,N,z,!0),X.forEach(Ct=>Jh.drawBackgroundRect(L,Ct)),yRt(L,N,z,fn),Pr.models.boxes.forEach(function(Ct){Ct.height=Pr.getVerticalPos()-Ct.y,Pr.insert(Ct.x,Ct.y,Ct.x+Ct.width,Ct.height),Ct.startx=Ct.x,Ct.starty=Ct.y,Ct.stopx=Ct.startx+Ct.width,Ct.stopy=Ct.starty+Ct.height,Ct.stroke="rgb(0,0,0, 0.5)",Jh.drawBox(L,Ct,fn)}),st&&Pr.bumpVerticalPos(fn.boxMargin);const pt=ERt(L,N,z,\_),{bounds:U}=Pr.getBounds();let xt=U.stopy-U.starty;xt{const b=i\[m\];b.wrap&&(b.description=$a.wrapLabel(b.description,fn.width-2\*fn.wrapPadding,dgt(fn)));const E=$a.calculateTextDimensions(b.description,dgt(fn));b.width=b.wrap?fn.width:Yr.getMax(fn.width,E.width+2\*fn.wrapPadding),b.height=b.wrap?Yr.getMax(E.height,fn.height):fn.height,p=Yr.getMax(p,b.height)});for(const m in a){const b=i\[m\];if(!b)continue;const E=i\[b.nextActor\];if(!E){const B=a\[m\]+fn.actorMargin-b.width/2;b.margin=Yr.getMax(B,fn.actorMargin);continue}const L=a\[m\]+fn.actorMargin-b.width/2-E.width/2;b.margin=Yr.getMax(L,fn.actorMargin)}let v=0;return f.forEach(m=>{const b=TT(fn);let E=m.actorKeys.reduce((N,B)=>N+=i\[B\].width+(i\[B\].margin||0),0);E-=2\*fn.boxTextMargin,m.wrap&&(m.name=$a.wrapLabel(m.name,E-2\*fn.wrapPadding,b));const \_=$a.calculateTextDimensions(m.name,b);v=Yr.getMax(\_.height,v);const L=Yr.getMax(E,\_.width+2\*fn.wrapPadding);if(m.margin=fn.boxTextMargin,Em.textMaxHeight=v),Yr.getMax(p,fn.height)}const nGe=function(i,a,f){const p=a\[i.from\].x,v=a\[i.to\].x,m=i.wrap&&i.message;let b=$a.calculateTextDimensions(m?$a.wrapLabel(i.message,fn.width,hL(fn)):i.message,hL(fn));const E={width:m?fn.width:Yr.getMax(fn.width,b.width+2\*fn.noteMargin),height:0,startx:a\[i.from\].x,stopx:0,starty:0,stopy:0,message:i.message};return i.placement===f.db.PLACEMENT.RIGHTOF?(E.width=m?Yr.getMax(fn.width,b.width):Yr.getMax(a\[i.from\].width/2+a\[i.to\].width/2,b.width+2\*fn.noteMargin),E.startx=p+(a\[i.from\].width+fn.actorMargin)/2):i.placement===f.db.PLACEMENT.LEFTOF?(E.width=m?Yr.getMax(fn.width,b.width+2\*fn.noteMargin):Yr.getMax(a\[i.from\].width/2+a\[i.to\].width/2,b.width+2\*fn.noteMargin),E.startx=p-E.width+(a\[i.from\].width-fn.actorMargin)/2):i.to===i.from?(b=$a.calculateTextDimensions(m?$a.wrapLabel(i.message,Yr.getMax(fn.width,a\[i.from\].width),hL(fn)):i.message,hL(fn)),E.width=m?Yr.getMax(fn.width,a\[i.from\].width):Yr.getMax(a\[i.from\].width,fn.width,b.width+2\*fn.noteMargin),E.startx=p+(a\[i.from\].width-E.width)/2):(E.width=Math.abs(p+a\[i.from\].width/2-(v+a\[i.to\].width/2))+fn.actorMargin,E.startx=p2,B=K=>E?-K:K;i.from===i.to?L=\_:(i.activate&&!N&&(L+=B(fn.activationWidth/2-1)),\[f.db.LINETYPE.SOLID\_OPEN,f.db.LINETYPE.DOTTED\_OPEN\].includes(i.type)||(L+=B(3)));const j=\[p,v,m,b\],R=Math.abs(\_-L);i.wrap&&i.message&&(i.message=$a.wrapLabel(i.message,Yr.getMax(R+2\*fn.wrapPadding,fn.width),TT(fn)));const z=$a.calculateTextDimensions(i.message,TT(fn));return{width:Yr.getMax(i.wrap?0:z.width+2\*fn.wrapPadding,R+2\*fn.wrapPadding,fn.width),height:0,startx:\_,stopx:L,starty:0,stopy:0,message:i.message,type:i.type,wrap:i.wrap,fromBounds:Math.min.apply(null,j),toBounds:Math.max.apply(null,j)}},iGe=function(i,a,f,p){const v={},m=\[\];let b,E,\_;return i.forEach(function(L){switch(L.id=$a.random({length:10}),L.type){case p.db.LINETYPE.LOOP\_START:case p.db.LINETYPE.ALT\_START:case p.db.LINETYPE.OPT\_START:case p.db.LINETYPE.PAR\_START:case p.db.LINETYPE.PAR\_OVER\_START:case p.db.LINETYPE.CRITICAL\_START:case p.db.LINETYPE.BREAK\_START:m.push({id:L.id,msg:L.message,from:Number.MAX\_SAFE\_INTEGER,to:Number.MIN\_SAFE\_INTEGER,width:0});break;case p.db.LINETYPE.ALT\_ELSE:case p.db.LINETYPE.PAR\_AND:case p.db.LINETYPE.CRITICAL\_OPTION:L.message&&(b=m.pop(),v\[b.id\]=b,v\[L.id\]=b,m.push(b));break;case p.db.LINETYPE.LOOP\_END:case p.db.LINETYPE.ALT\_END:case p.db.LINETYPE.OPT\_END:case p.db.LINETYPE.PAR\_END:case p.db.LINETYPE.CRITICAL\_END:case p.db.LINETYPE.BREAK\_END:b=m.pop(),v\[b.id\]=b;break;case p.db.LINETYPE.ACTIVE\_START:{const B=a\[L.from?L.from.actor:L.to.actor\],j=AK(L.from?L.from.actor:L.to.actor).length,R=B.x+B.width/2+(j-1)\*fn.activationWidth/2,z={startx:R,stopx:R+fn.activationWidth,actor:L.from.actor,enabled:!0};Pr.activations.push(z)}break;case p.db.LINETYPE.ACTIVE\_END:{const B=Pr.activations.map(j=>j.actor).lastIndexOf(L.from.actor);delete Pr.activations.splice(B,1)\[0\]}break}L.placement!==void 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ie=new Error($t);throw ie.hash=re,ie}},parse:function($t){var re=this,ie=\[0\],Oe=\[\],oe=\[null\],Ne=\[\],me=this.table,cn="",li=0,ya=0,da=2,Oo=1,ds=Ne.slice.call(arguments,1),Dr=Object.create(this.lexer),nr={yy:{}};for(var di in this.yy)Object.prototype.hasOwnProperty.call(this.yy,di)&&(nr.yy\[di\]=this.yy\[di\]);Dr.setInput($t,nr.yy),nr.yy.lexer=Dr,nr.yy.parser=this,typeof Dr.yylloc>"u"&&(Dr.yylloc={});var Ee=Dr.yylloc;Ne.push(Ee);var Yn=Dr.options&&Dr.options.ranges;typeof nr.yy.parseError=="function"?this.parseError=nr.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function He(){var Lu;return Lu=Oe.pop()||Dr.lex()||Oo,typeof Lu!="number"&&(Lu instanceof Array&&(Oe=Lu,Lu=Oe.pop()),Lu=re.symbols\_\[Lu\]||Lu),Lu}for(var Ti,gn,ks,qa,La={},Gs,No,vs,nu;;){if(gn=ie\[ie.length-1\],this.defaultActions\[gn\]?ks=this.defaultActions\[gn\]:((Ti===null||typeof Ti>"u")&&(Ti=He()),ks=me\[gn\]&&me\[gn\]\[Ti\]),typeof ks>"u"||!ks.length||!ks\[0\]){var $s="";nu=\[\];for(Gs in me\[gn\])this.terminals\_\[Gs\]&&Gs>da&&nu.push("'"+this.terminals\_\[Gs\]+"'");Dr.showPosition?$s="Parse error on line "+(li+1)+\`: \`+Dr.showPosition()+\` Expecting \`+nu.join(", ")+", got '"+(this.terminals\_\[Ti\]||Ti)+"'":$s="Parse error on line "+(li+1)+": Unexpected "+(Ti==Oo?"end of input":"'"+(this.terminals\_\[Ti\]||Ti)+"'"),this.parseError($s,{text:Dr.match,token:this.terminals\_\[Ti\]||Ti,line:Dr.yylineno,loc:Ee,expected:nu})}if(ks\[0\]instanceof Array&&ks.length>1)throw new Error("Parse Error: multiple actions possible at state: "+gn+", token: "+Ti);switch(ks\[0\]){case 1:ie.push(Ti),oe.push(Dr.yytext),Ne.push(Dr.yylloc),ie.push(ks\[1\]),Ti=null,ya=Dr.yyleng,cn=Dr.yytext,li=Dr.yylineno,Ee=Dr.yylloc;break;case 2:if(No=this.productions\_\[ks\[1\]\]\[1\],La.$=oe\[oe.length-No\],La.\_$={first\_line:Ne\[Ne.length-(No||1)\].first\_line,last\_line:Ne\[Ne.length-1\].last\_line,first\_column:Ne\[Ne.length-(No||1)\].first\_column,last\_column:Ne\[Ne.length-1\].last\_column},Yn&&(La.\_$.range=\[Ne\[Ne.length-(No||1)\].range\[0\],Ne\[Ne.length-1\].range\[1\]\]),qa=this.performAction.apply(La,\[cn,ya,li,nr.yy,ks\[1\],oe,Ne\].concat(ds)),typeof qa<"u")return qa;No&&(ie=ie.slice(0,-1\*No\*2),oe=oe.slice(0,-1\*No),Ne=Ne.slice(0,-1\*No)),ie.push(this.productions\_\[ks\[1\]\]\[0\]),oe.push(La.$),Ne.push(La.\_$),vs=me\[ie\[ie.length-2\]\]\[ie\[ie.length-1\]\],ie.push(vs);break;case 3:return!0}}return!0}},Ke=function(){var \_e={EOF:1,parseError:function(re,ie){if(this.yy.parser)this.yy.parser.parseError(re,ie);else throw new Error(re)},setInput:function($t,re){return this.yy=re||this.yy||{},this.\_input=$t,this.\_more=this.\_backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=\["INITIAL"\],this.yylloc={first\_line:1,first\_column:0,last\_line:1,last\_column:0},this.options.ranges&&(this.yylloc.range=\[0,0\]),this.offset=0,this},input:function(){var $t=this.\_input\[0\];this.yytext+=$t,this.yyleng++,this.offset++,this.match+=$t,this.matched+=$t;var re=$t.match(/(?:\\r\\n?|\\n).\*/g);return re?(this.yylineno++,this.yylloc.last\_line++):this.yylloc.last\_column++,this.options.ranges&&this.yylloc.range\[1\]++,this.\_input=this.\_input.slice(1),$t},unput:function($t){var re=$t.length,ie=$t.split(/(?:\\r\\n?|\\n)/g);this.\_input=$t+this.\_input,this.yytext=this.yytext.substr(0,this.yytext.length-re),this.offset-=re;var Oe=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),ie.length-1&&(this.yylineno-=ie.length-1);var oe=this.yylloc.range;return this.yylloc={first\_line:this.yylloc.first\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.first\_column,last\_column:ie?(ie.length===Oe.length?this.yylloc.first\_column:0)+Oe\[Oe.length-ie.length\].length-ie\[0\].length:this.yylloc.first\_column-re},this.options.ranges&&(this.yylloc.range=\[oe\[0\],oe\[0\]+this.yyleng-re\]),this.yyleng=this.yytext.length,this},more:function(){return this.\_more=!0,this},reject:function(){if(this.options.backtrack\_lexer)this.\_backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+\`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack\_lexer = true). \`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function($t){this.unput(this.match.slice($t))},pastInput:function(){var $t=this.matched.substr(0,this.matched.length-this.match.length);return($t.length>20?"...":"")+$t.substr(-20).replace(/\\n/g,"")},upcomingInput:function(){var $t=this.match;return $t.length<20&&($t+=this.\_input.substr(0,20-$t.length)),($t.substr(0,20)+($t.length>20?"...":"")).replace(/\\n/g,"")},showPosition:function(){var $t=this.pastInput(),re=new Array($t.length+1).join("-");return $t+this.upcomingInput()+\` \`+re+"^"},test\_match:function($t,re){var ie,Oe,oe;if(this.options.backtrack\_lexer&&(oe={yylineno:this.yylineno,yylloc:{first\_line:this.yylloc.first\_line,last\_line:this.last\_line,first\_column:this.yylloc.first\_column,last\_column:this.yylloc.last\_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,\_more:this.\_more,\_input:this.\_input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(oe.yylloc.range=this.yylloc.range.slice(0))),Oe=$t\[0\].match(/(?:\\r\\n?|\\n).\*/g),Oe&&(this.yylineno+=Oe.length),this.yylloc={first\_line:this.yylloc.last\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.last\_column,last\_column:Oe?Oe\[Oe.length-1\].length-Oe\[Oe.length-1\].match(/\\r?\\n?/)\[0\].length:this.yylloc.last\_column+$t\[0\].length},this.yytext+=$t\[0\],this.match+=$t\[0\],this.matches=$t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=\[this.offset,this.offset+=this.yyleng\]),this.\_more=!1,this.\_backtrack=!1,this.\_input=this.\_input.slice($t\[0\].length),this.matched+=$t\[0\],ie=this.performAction.call(this,this.yy,this,re,this.conditionStack\[this.conditionStack.length-1\]),this.done&&this.\_input&&(this.done=!1),ie)return ie;if(this.\_backtrack){for(var Ne in oe)this\[Ne\]=oe\[Ne\];return!1}return!1},next:function(){if(this.done)return this.EOF;this.\_input||(this.done=!0);var $t,re,ie,Oe;this.\_more||(this.yytext="",this.match="");for(var oe=this.\_currentRules(),Ne=0;Nere\[0\].length)){if(re=ie,Oe=Ne,this.options.backtrack\_lexer){if($t=this.test\_match(ie,oe\[Ne\]),$t!==!1)return $t;if(this.\_backtrack){re=!1;continue}else return!1}else if(!this.options.flex)break}return re?($t=this.test\_match(re,oe\[Oe\]),$t!==!1?$t:!1):this.\_input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+\`. Unrecognized text. \`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var re=this.next();return re||this.lex()},begin:function(re){this.conditionStack.push(re)},popState:function(){var re=this.conditionStack.length-1;return re>0?this.conditionStack.pop():this.conditionStack\[0\]},\_currentRules:function(){return this.conditionStack.length&&this.conditionStack\[this.conditionStack.length-1\]?this.conditions\[this.conditionStack\[this.conditionStack.length-1\]\].rules:this.conditions.INITIAL.rules},topState:function(re){return re=this.conditionStack.length-1-Math.abs(re||0),re>=0?this.conditionStack\[re\]:"INITIAL"},pushState:function(re){this.begin(re)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(re,ie,Oe,oe){switch(Oe){case 0:return 52;case 1:return 53;case 2:return 54;case 3:return 55;case 4:break;case 5:break;case 6:return this.begin("acc\_title"),30;case 7:return this.popState(),"acc\_title\_value";case 8:return this.begin("acc\_descr"),32;case 9:return this.popState(),"acc\_descr\_value";case 10:this.begin("acc\_descr\_multiline");break;case 11:this.popState();break;case 12:return"acc\_descr\_multiline\_value";case 13:return 8;case 14:break;case 15:return 7;case 16:return 7;case 17:return"EDGE\_STATE";case 18:this.begin("callback\_name");break;case 19:this.popState();break;case 20:this.popState(),this.begin("callback\_args");break;case 21:return 69;case 22:this.popState();break;case 23:return 70;case 24:this.popState();break;case 25:return"STR";case 26:this.begin("string");break;case 27:return this.begin("namespace"),39;case 28:return this.popState(),8;case 29:break;case 30:return this.begin("namespace-body"),36;case 31:return this.popState(),38;case 32:return"EOF\_IN\_STRUCT";case 33:return 8;case 34:break;case 35:return"EDGE\_STATE";case 36:return this.begin("class"),43;case 37:return this.popState(),8;case 38:break;case 39:return this.popState(),this.popState(),38;case 40:return this.begin("class-body"),36;case 41:return this.popState(),38;case 42:return"EOF\_IN\_STRUCT";case 43:return"EDGE\_STATE";case 44:return"OPEN\_IN\_STRUCT";case 45:break;case 46:return"MEMBER";case 47:return 72;case 48:return 65;case 49:return 66;case 50:return 68;case 51:return 49;case 52:return 51;case 53:return 44;case 54:return 45;case 55:return 71;case 56:this.popState();break;case 57:return"GENERICTYPE";case 58:this.begin("generic");break;case 59:this.popState();break;case 60:return"BQUOTE\_STR";case 61:this.begin("bqstring");break;case 62:return 67;case 63:return 67;case 64:return 67;case 65:return 67;case 66:return 59;case 67:return 59;case 68:return 61;case 69:return 61;case 70:return 60;case 71:return 58;case 72:return 62;case 73:return 63;case 74:return 64;case 75:return 21;case 76:return 41;case 77:return 84;case 78:return"DOT";case 79:return"PLUS";case 80:return 81;case 81:return"EQUALS";case 82:return"EQUALS";case 83:return 88;case 84:return 12;case 85:return 14;case 86:return"PUNCTUATION";case 87:return 87;case 88:return 86;case 89:return 83;case 90:return 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DK={setAccTitle:cg,getAccTitle:op,getAccDescription:up,setAccDescription:cp,getConfig:()=>Le().class,addClass:IK,bindFunctions:kGe,clear:oGe,getClass:cGe,getClasses:uGe,getNotes:hGe,addAnnotation:dGe,addNote:pGe,getRelations:lGe,addRelation:fGe,getDirection:()=>ORt,setDirection:i=>{ORt=i},addMember:IRt,addMembers:gGe,cleanupLabel:bGe,lineType:EGe,relationType:TGe,setClickEvent:yGe,setCssClass:wgt,setLink:mGe,getTooltip:wGe,setTooltip:vGe,lookUpDomId:MRt,setDiagramTitle:Z2,getDiagramTitle:Db,setClassLabel:aGe,addNamespace:function(i){dk\[i\]===void 0&&(dk\[i\]={id:i,classes:{},children:{},domId:LK+i+"-"+vgt},vgt++)},addClassesToNamespace:function(i,a){dk\[i\]!==void 0&&a.map(f=>{Ql\[f\].parent=i,dk\[i\].classes\[f\]=Ql\[f\]})},getNamespace:function(i){return dk\[i\]},getNamespaces:function(){return dk}},NRt=i=>\`g.classGroup text { fill: ${i.nodeBorder}; fill: ${i.classText}; stroke: none; font-family: ${i.fontFamily}; font-size: 10px; .title { font-weight: bolder; } } .nodeLabel, .edgeLabel { color: ${i.classText}; } .edgeLabel .label rect { fill: ${i.mainBkg}; } .label text { fill: ${i.classText}; } .edgeLabel .label span { background: ${i.mainBkg}; } .classTitle { font-weight: bolder; } .node rect, .node circle, .node ellipse, .node polygon, .node path { fill: ${i.mainBkg}; stroke: ${i.nodeBorder}; stroke-width: 1px; } .divider { stroke: ${i.nodeBorder}; stroke-width: 1; } g.clickable { cursor: pointer; } g.classGroup rect { fill: ${i.mainBkg}; stroke: ${i.nodeBorder}; } g.classGroup line { stroke: ${i.nodeBorder}; stroke-width: 1; } .classLabel .box { stroke: none; stroke-width: 0; fill: ${i.mainBkg}; opacity: 0.5; } .classLabel .label { fill: ${i.nodeBorder}; font-size: 10px; } .relation { stroke: ${i.lineColor}; stroke-width: 1; fill: none; } .dashed-line{ stroke-dasharray: 3; } .dotted-line{ stroke-dasharray: 1 2; } #compositionStart, .composition { fill: ${i.lineColor} !important; stroke: ${i.lineColor} !important; stroke-width: 1; } #compositionEnd, .composition { fill: ${i.lineColor} !important; stroke: ${i.lineColor} !important; stroke-width: 1; } #dependencyStart, .dependency { fill: ${i.lineColor} !important; stroke: ${i.lineColor} !important; stroke-width: 1; } #dependencyStart, .dependency { fill: ${i.lineColor} !important; stroke: ${i.lineColor} !important; stroke-width: 1; } #extensionStart, .extension { fill: transparent !important; stroke: ${i.lineColor} !important; stroke-width: 1; } #extensionEnd, .extension { fill: transparent !important; stroke: ${i.lineColor} !important; stroke-width: 1; } #aggregationStart, .aggregation { fill: transparent !important; stroke: ${i.lineColor} !important; stroke-width: 1; } #aggregationEnd, .aggregation { fill: transparent !important; stroke: ${i.lineColor} !important; stroke-width: 1; } #lollipopStart, .lollipop { fill: ${i.mainBkg} !important; stroke: ${i.lineColor} !important; stroke-width: 1; } #lollipopEnd, .lollipop { fill: ${i.mainBkg} !important; stroke: ${i.lineColor} !important; stroke-width: 1; } .edgeTerminals { font-size: 11px; } .classTitleText { text-anchor: middle; font-size: 18px; fill: ${i.textColor}; } \`;let PRt=0;const CGe=function(i,a,f,p,v){const m=function(ut){switch(ut){case v.db.relationType.AGGREGATION:return"aggregation";case v.db.relationType.EXTENSION:return"extension";case v.db.relationType.COMPOSITION:return"composition";case v.db.relationType.DEPENDENCY:return"dependency";case v.db.relationType.LOLLIPOP:return"lollipop"}};a.points=a.points.filter(ut=>!Number.isNaN(ut.y));const b=a.points,E=Z7().x(function(ut){return ut.x}).y(function(ut){return ut.y}).curve(FN),\_=i.append("path").attr("d",E(b)).attr("id","edge"+PRt).attr("class","relation");let L="";p.arrowMarkerAbsolute&&(L=window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search,L=L.replace(/\\(/g,"\\\\("),L=L.replace(/\\)/g,"\\\\)")),f.relation.lineType==1&&\_.attr("class","relation 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mt=bt.node().getBBox();ut.insert("rect",":first-child").attr("class","box").attr("x",mt.x-p.padding/2).attr("y",mt.y-p.padding/2).attr("width",mt.width+p.padding).attr("height",mt.height+p.padding)}Ut.info("Rendering relation "+JSON.stringify(f)),f.relationTitle1!==void 0&&f.relationTitle1!=="none"&&i.append("g").attr("class","cardinality").append("text").attr("class","type1").attr("x",z).attr("y",K).attr("fill","black").attr("font-size","6").text(f.relationTitle1),f.relationTitle2!==void 0&&f.relationTitle2!=="none"&&i.append("g").attr("class","cardinality").append("text").attr("class","type2").attr("x",it).attr("y",st).attr("fill","black").attr("font-size","6").text(f.relationTitle2),PRt++},\_Ge=function(i,a,f,p){Ut.debug("Rendering class ",a,f);const v=a.id,m={id:v,label:a.id,width:0,height:0},b=i.append("g").attr("id",p.db.lookUpDomId(v)).attr("class","classGroup");let E;a.link?E=b.append("svg:a").attr("xlink:href",a.link).attr("target",a.linkTarget).append("text").attr("y",f.textHeight+f.padding).attr("x",0):E=b.append("text").attr("y",f.textHeight+f.padding).attr("x",0);let \_=!0;a.annotations.forEach(function(bt){const mt=E.append("tspan").text("«"+bt+"»");\_||mt.attr("dy",f.textHeight),\_=!1});let L=FRt(a);const N=E.append("tspan").text(L).attr("class","title");\_||N.attr("dy",f.textHeight);const B=E.node().getBBox().height;let j,R,z;if(a.members.length>0){j=b.append("line").attr("x1",0).attr("y1",f.padding+B+f.dividerMargin/2).attr("y2",f.padding+B+f.dividerMargin/2);const bt=b.append("text").attr("x",f.padding).attr("y",B+f.dividerMargin+f.textHeight).attr("fill","white").attr("class","classText");\_=!0,a.members.forEach(function(mt){BRt(bt,mt,\_,f),\_=!1}),R=bt.node().getBBox()}if(a.methods.length>0){z=b.append("line").attr("x1",0).attr("y1",f.padding+B+f.dividerMargin+R.height).attr("y2",f.padding+B+f.dividerMargin+R.height);const bt=b.append("text").attr("x",f.padding).attr("y",B+2\*f.dividerMargin+R.height+f.textHeight).attr("fill","white").attr("class","classText");\_=!0,a.methods.forEach(function(mt){BRt(bt,mt,\_,f),\_=!1})}const K=b.node().getBBox();var it=" ";a.cssClasses.length>0&&(it=it+a.cssClasses.join(" "));const ut=b.insert("rect",":first-child").attr("x",0).attr("y",0).attr("width",K.width+2\*f.padding).attr("height",K.height+f.padding+.5\*f.dividerMargin).attr("class",it).node().getBBox().width;return E.node().childNodes.forEach(function(bt){bt.setAttribute("x",(ut-bt.getBBox().width)/2)}),a.tooltip&&E.insert("title").text(a.tooltip),j&&j.attr("x2",ut),z&&z.attr("x2",ut),m.width=ut,m.height=K.height+f.padding+.5\*f.dividerMargin,m},FRt=function(i){let a=i.id;return i.type&&(a+="<"+zN(i.type)+">"),a},SGe=function(i,a,f,p){Ut.debug("Rendering note ",a,f);const v=a.id,m={id:v,text:a.text,width:0,height:0},b=i.append("g").attr("id",v).attr("class","classGroup");let E=b.append("text").attr("y",f.textHeight+f.padding).attr("x",0);const \_=JSON.parse(\`"${a.text}"\`).split(\` \`);\_.forEach(function(j){Ut.debug(\`Adding line: ${j}\`),E.append("tspan").text(j).attr("class","title").attr("dy",f.textHeight)});const L=b.node().getBBox(),B=b.insert("rect",":first-child").attr("x",0).attr("y",0).attr("width",L.width+2\*f.padding).attr("height",L.height+\_.length\*f.textHeight+f.padding+.5\*f.dividerMargin).node().getBBox().width;return E.node().childNodes.forEach(function(j){j.setAttribute("x",(B-j.getBBox().width)/2)}),m.width=B,m.height=L.height+\_.length\*f.textHeight+f.padding+.5\*f.dividerMargin,m},BRt=function(i,a,f,p){const{displayText:v,cssStyle:m}=a.getDisplayDetails(),b=i.append("tspan").attr("x",p.padding).text(v);m!==""&&b.attr("style",a.cssStyle),f||b.attr("dy",p.textHeight)},mgt={getClassTitleString:FRt,drawClass:\_Ge,drawEdge:CGe,drawNote:SGe};let OK={};const NK=20,BP=function(i){const a=Object.entries(OK).find(f=>f\[1\].label===i);if(a)return a\[0\]},AGe=function(i){i.append("defs").append("marker").attr("id","extensionStart").attr("class","extension").attr("refX",0).attr("refY",7).attr("markerWidth",190).attr("markerHeight",240).attr("orient","auto").append("path").attr("d","M 1,7 L18,13 V 1 Z"),i.append("defs").append("marker").attr("id","extensionEnd").attr("refX",19).attr("refY",7).attr("markerWidth",20).attr("markerHeight",28).attr("orient","auto").append("path").attr("d","M 1,1 V 13 L18,7 Z"),i.append("defs").append("marker").attr("id","compositionStart").attr("class","extension").attr("refX",0).attr("refY",7).attr("markerWidth",190).attr("markerHeight",240).attr("orient","auto").append("path").attr("d","M 18,7 L9,13 L1,7 L9,1 Z"),i.append("defs").append("marker").attr("id","compositionEnd").attr("refX",19).attr("refY",7).attr("markerWidth",20).attr("markerHeight",28).attr("orient","auto").append("path").attr("d","M 18,7 L9,13 L1,7 L9,1 Z"),i.append("defs").append("marker").attr("id","aggregationStart").attr("class","extension").attr("refX",0).attr("refY",7).attr("markerWidth",190).attr("markerHeight",240).attr("orient","auto").append("path").attr("d","M 18,7 L9,13 L1,7 L9,1 Z"),i.append("defs").append("marker").attr("id","aggregationEnd").attr("refX",19).attr("refY",7).attr("markerWidth",20).attr("markerHeight",28).attr("orient","auto").append("path").attr("d","M 18,7 L9,13 L1,7 L9,1 Z"),i.append("defs").append("marker").attr("id","dependencyStart").attr("class","extension").attr("refX",0).attr("refY",7).attr("markerWidth",190).attr("markerHeight",240).attr("orient","auto").append("path").attr("d","M 5,7 L9,13 L1,7 L9,1 Z"),i.append("defs").append("marker").attr("id","dependencyEnd").attr("refX",19).attr("refY",7).attr("markerWidth",20).attr("markerHeight",28).attr("orient","auto").append("path").attr("d","M 18,7 L9,13 L14,7 L9,1 Z")},LGe=Object.freeze(Object.defineProperty({\_\_proto\_\_:null,diagram:{parser:\_Rt,db:DK,renderer:{draw:function(i,a,f,p){const v=Le().class;OK={},Ut.info("Rendering diagram "+i);const m=Le().securityLevel;let b;m==="sandbox"&&(b=yr("#i"+a));const E=yr(m==="sandbox"?b.nodes()\[0\].contentDocument.body:"body"),\_=E.select(\`\[id='${a}'\]\`);AGe(\_);const L=new a1({multigraph:!0});L.setGraph({isMultiGraph:!0}),L.setDefaultEdgeLabel(function(){return{}});const N=p.db.getClasses(),B=Object.keys(N);for(const ut of B){const bt=N\[ut\],mt=mgt.drawClass(\_,bt,v,p);OK\[mt.id\]=mt,L.setNode(mt.id,mt),Ut.info("Org height: "+mt.height)}p.db.getRelations().forEach(function(ut){Ut.info("tjoho"+BP(ut.id1)+BP(ut.id2)+JSON.stringify(ut)),L.setEdge(BP(ut.id1),BP(ut.id2),{relation:ut},ut.title||"DEFAULT")}),p.db.getNotes().forEach(function(ut){Ut.debug(\`Adding note: ${JSON.stringify(ut)}\`);const bt=mgt.drawNote(\_,ut,v,p);OK\[bt.id\]=bt,L.setNode(bt.id,bt),ut.class&&ut.class in N&&L.setEdge(ut.id,BP(ut.class),{relation:{id1:ut.id,id2:ut.class,relation:{type1:"none",type2:"none",lineType:10}}},"DEFAULT")}),eL(L),L.nodes().forEach(function(ut){ut!==void 0&&L.node(ut)!==void 0&&(Ut.debug("Node "+ut+": "+JSON.stringify(L.node(ut))),E.select("#"+(p.db.lookUpDomId(ut)||ut)).attr("transform","translate("+(L.node(ut).x-L.node(ut).width/2)+","+(L.node(ut).y-L.node(ut).height/2)+" )"))}),L.edges().forEach(function(ut){ut!==void 0&&L.edge(ut)!==void 0&&(Ut.debug("Edge "+ut.v+" -> "+ut.w+": "+JSON.stringify(L.edge(ut))),mgt.drawEdge(\_,L.edge(ut),L.edge(ut).relation,v,p))});const z=\_.node().getBBox(),K=z.width+NK\*2,it=z.height+NK\*2;og(\_,it,K,v.useMaxWidth);const st=\`${z.x-NK} ${z.y-NK} ${K} ${it}\`;Ut.debug(\`viewBox ${st}\`),\_.attr("viewBox",st)}},styles:NRt,init:i=>{i.class||(i.class={}),i.class.arrowMarkerAbsolute=i.arrowMarkerAbsolute,DK.clear()}}},Symbol.toStringTag,{value:"Module"})),ygt=i=>Yr.sanitizeText(i,Le());let xgt={dividerMargin:10,padding:5,textHeight:10,curve:void 0};const MGe=function(i,a,f,p){const v=Object.keys(i);Ut.info("keys:",v),Ut.info(i),v.forEach(function(m){var L,N;const b=i\[m\],\_={shape:"rect",id:b.id,domId:b.domId,labelText:ygt(b.id),labelStyle:"",style:"fill: none; stroke: black",padding:((L=Le().flowchart)==null?void 0:L.padding)??((N=Le().class)==null?void 0:N.padding)};a.setNode(b.id,\_),RRt(b.classes,a,f,p,b.id),Ut.info("setNode",\_)})},RRt=function(i,a,f,p,v){const m=Object.keys(i);Ut.info("keys:",m),Ut.info(i),m.filter(b=>i\[b\].parent==v).forEach(function(b){var z,K;const E=i\[b\],\_=E.cssClasses.join(" "),L={labelStyle:"",style:""},N=E.label??E.id,B=0,j="class\_box",R={labelStyle:L.labelStyle,shape:j,labelText:ygt(N),classData:E,rx:B,ry:B,class:\_,style:L.style,id:E.id,domId:E.domId,tooltip:p.db.getTooltip(E.id,v)||"",haveCallback:E.haveCallback,link:E.link,width:E.type==="group"?500:void 0,type:E.type,padding:((z=Le().flowchart)==null?void 0:z.padding)??((K=Le().class)==null?void 0:K.padding)};a.setNode(E.id,R),v&&a.setParent(E.id,v),Ut.info("setNode",R)})},IGe=function(i,a,f,p){Ut.info(i),i.forEach(function(v,m){var K,it;const b=v,E="",\_={labelStyle:"",style:""},L=b.text,N=0,B="note",j={labelStyle:\_.labelStyle,shape:B,labelText:ygt(L),noteData:b,rx:N,ry:N,class:E,style:\_.style,id:b.id,domId:b.id,tooltip:"",type:"note",padding:((K=Le().flowchart)==null?void 0:K.padding)??((it=Le().class)==null?void 0:it.padding)};if(a.setNode(b.id,j),Ut.info("setNode",j),!b.class||!(b.class in p))return;const R=f+m,z={id:\`edgeNote${R}\`,classes:"relation",pattern:"dotted",arrowhead:"none",startLabelRight:"",endLabelLeft:"",arrowTypeStart:"none",arrowTypeEnd:"none",style:"fill:none",labelStyle:"",curve:X2(xgt.curve,ig)};a.setEdge(b.id,b.class,z,R)})},DGe=function(i,a){const f=Le().flowchart;let p=0;i.forEach(function(v){var b;p++;const m={classes:"relation",pattern:v.relation.lineType==1?"dashed":"solid",id:"id"+p,arrowhead:v.type==="arrow\_open"?"none":"normal",startLabelRight:v.relationTitle1==="none"?"":v.relationTitle1,endLabelLeft:v.relationTitle2==="none"?"":v.relationTitle2,arrowTypeStart:jRt(v.relation.type1),arrowTypeEnd:jRt(v.relation.type2),style:"fill:none",labelStyle:"",curve:X2(f==null?void 0:f.curve,ig)};if(Ut.info(m,v),v.style!==void 0){const E=em(v.style);m.style=E.style,m.labelStyle=E.labelStyle}v.text=v.title,v.text===void 0?v.style!==void 0&&(m.arrowheadStyle="fill: #333"):(m.arrowheadStyle="fill: #333",m.labelpos="c",((b=Le().flowchart)==null?void 0:b.htmlLabels)??Le().htmlLabels?(m.labelType="html",m.label=''+v.text+""):(m.labelType="text",m.label=v.text.replace(Yr.lineBreakRegex,\` \`),v.style===void 0&&(m.style=m.style||"stroke: #333; stroke-width: 1.5px;fill:none"),m.labelStyle=m.labelStyle.replace("color:","fill:"))),a.setEdge(v.id1,v.id2,m,p)})},OGe=function(i){xgt={...xgt,...i}},NGe=async function(i,a,f,p){Ut.info("Drawing class - ",a);const v=Le().flowchart??Le().class,m=Le().securityLevel;Ut.info("config:",v);const b=(v==null?void 0:v.nodeSpacing)??50,E=(v==null?void 0:v.rankSpacing)??50,\_=new a1({multigraph:!0,compound:!0}).setGraph({rankdir:p.db.getDirection(),nodesep:b,ranksep:E,marginx:8,marginy:8}).setDefaultEdgeLabel(function(){return{}}),L=p.db.getNamespaces(),N=p.db.getClasses(),B=p.db.getRelations(),j=p.db.getNotes();Ut.info(B),MGe(L,\_,a,p),RRt(N,\_,a,p),DGe(B,\_),IGe(j,\_,B.length+1,N);let R;m==="sandbox"&&(R=yr("#i"+a));const z=yr(m==="sandbox"?R.nodes()\[0\].contentDocument.body:"body"),K=z.select(\`\[id="${a}"\]\`),it=z.select("#"+a+" g");if(await I0t(it,\_,\["aggregation","extension","composition","dependency","lollipop"\],"classDiagram",a),$a.insertTitle(K,"classTitleText",(v==null?void 0:v.titleTopMargin)??5,p.db.getDiagramTitle()),cT(\_,K,v==null?void 0:v.diagramPadding,v==null?void 0:v.useMaxWidth),!(v!=null&&v.htmlLabels)){const st=m==="sandbox"?R.nodes()\[0\].contentDocument:document,ut=st.querySelectorAll('\[id="'+a+'"\] .edgeLabel .label');for(const bt of ut){const mt=bt.getBBox(),yt=st.createElementNS("http://www.w3.org/2000/svg","rect");yt.setAttribute("rx",0),yt.setAttribute("ry",0),yt.setAttribute("width",mt.width),yt.setAttribute("height",mt.height),bt.insertBefore(yt,bt.firstChild)}}};function jRt(i){let a;switch(i){case 0:a="aggregation";break;case 1:a="extension";break;case 2:a="composition";break;case 3:a="dependency";break;case 4:a="lollipop";break;default:a="none"}return a}const PGe=Object.freeze(Object.defineProperty({\_\_proto\_\_:null,diagram:{parser:\_Rt,db:DK,renderer:{setConf:OGe,draw:NGe},styles:NRt,init:i=>{i.class||(i.class={}),i.class.arrowMarkerAbsolute=i.arrowMarkerAbsolute,DK.clear()}}},Symbol.toStringTag,{value:"Module"}));var kgt=function(){var i=function(Ct,Z,Tt,Ht){for(Tt=Tt||{},Ht=Ct.length;Ht--;Tt\[Ct\[Ht\]\]=Z);return 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It=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),Ht.length-1&&(this.yylineno-=Ht.length-1);var Ft=this.yylloc.range;return this.yylloc={first\_line:this.yylloc.first\_line,last\_line:this.yylineno+1,first\_column:this.yylloc.first\_column,last\_column:Ht?(Ht.length===It.length?this.yylloc.first\_column:0)+It\[It.length-Ht.length\].length-Ht\[0\].length:this.yylloc.first\_column-Tt},this.options.ranges&&(this.yylloc.range=\[Ft\[0\],Ft\[0\]+this.yyleng-Tt\]),this.yyleng=this.yytext.length,this},more:function(){return this.\_more=!0,this},reject:function(){if(this.options.backtrack\_lexer)this.\_backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+\`. 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34:return this.popState(),Ht.yytext=Ht.yytext.slice(0,-8).trim(),25;case 35:return this.popState(),Ht.yytext=Ht.yytext.slice(0,-10).trim(),26;case 36:return this.popState(),Ht.yytext=Ht.yytext.slice(0,-8).trim(),24;case 37:return this.popState(),Ht.yytext=Ht.yytext.slice(0,-8).trim(),25;case 38:return this.popState(),Ht.yytext=Ht.yytext.slice(0,-10).trim(),26;case 39:return 44;case 40:return 45;case 41:return 46;case 42:return 47;case 43:this.pushState("STATE\_STRING");break;case 44:return this.pushState("STATE\_ID"),"AS";case 45:return this.popState(),"ID";case 46:this.popState();break;case 47:return"STATE\_DESCR";case 48:return 18;case 49:this.popState();break;case 50:return this.popState(),this.pushState("struct"),19;case 51:break;case 52:return this.popState(),20;case 53:break;case 54:return this.begin("NOTE"),28;case 55:return this.popState(),this.pushState("NOTE\_ID"),52;case 56:return this.popState(),this.pushState("NOTE\_ID"),53;case 57:this.popState(),this.pushState("FLOATING\_NOTE");break;case 58:return this.popState(),this.pushState("FLOATING\_NOTE\_ID"),"AS";case 59:break;case 60:return"NOTE\_TEXT";case 61:return this.popState(),"ID";case 62:return this.popState(),this.pushState("NOTE\_TEXT"),23;case 63:return this.popState(),Ht.yytext=Ht.yytext.substr(2).trim(),30;case 64:return this.popState(),Ht.yytext=Ht.yytext.slice(0,-8).trim(),30;case 65:return 6;case 66:return 6;case 67:return 15;case 68:return 50;case 69:return 23;case 70:return Ht.yytext=Ht.yytext.trim(),13;case 71:return 14;case 72:return 27;case 73:return 51;case 74:return 5;case 75:return"INVALID"}},rules:\[/^(?:default\\b)/i,/^(?:.\*direction\\s+TB\[^\\n\]\*)/i,/^(?:.\*direction\\s+BT\[^\\n\]\*)/i,/^(?:.\*direction\\s+RL\[^\\n\]\*)/i,/^(?:.\*direction\\s+LR\[^\\n\]\*)/i,/^(?:%%(?!\\{)\[^\\n\]\*)/i,/^(?:\[^\\}\]%%\[^\\n\]\*)/i,/^(?:\[\\n\]+)/i,/^(?:\[\\s\]+)/i,/^(?:((?!\\n)\\s)+)/i,/^(?:#\[^\\n\]\*)/i,/^(?:%\[^\\n\]\*)/i,/^(?:scale\\s+)/i,/^(?:\\d+)/i,/^(?:\\s+width\\b)/i,/^(?:accTitle\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*:\\s\*)/i,/^(?:(?!\\n||)\*\[^\\n\]\*)/i,/^(?:accDescr\\s\*\\{\\s\*)/i,/^(?:\[\\}\])/i,/^(?:\[^\\}\]\*)/i,/^(?:classDef\\s+)/i,/^(?:DEFAULT\\s+)/i,/^(?:\\w+\\s+)/i,/^(?:\[^\\n\]\*)/i,/^(?:class\\s+)/i,/^(?:(\\w+)+((,\\s\*\\w+)\*))/i,/^(?:\[^\\n\]\*)/i,/^(?:scale\\s+)/i,/^(?:\\d+)/i,/^(?:\\s+width\\b)/i,/^(?:state\\s+)/i,/^(?:.\*<>)/i,/^(?:.\*<>)/i,/^(?:.\*<>)/i,/^(?:.\*\\\[\\\[fork\\\]\\\])/i,/^(?:.\*\\\[\\\[join\\\]\\\])/i,/^(?:.\*\\\[\\\[choice\\\]\\\])/i,/^(?:.\*direction\\s+TB\[^\\n\]\*)/i,/^(?:.\*direction\\s+BT\[^\\n\]\*)/i,/^(?:.\*direction\\s+RL\[^\\n\]\*)/i,/^(?:.\*direction\\s+LR\[^\\n\]\*)/i,/^(?:\["\])/i,/^(?:\\s\*as\\s+)/i,/^(?:\[^\\n\\{\]\*)/i,/^(?:\["\])/i,/^(?:\[^"\]\*)/i,/^(?:\[^\\n\\s\\{\]+)/i,/^(?:\\n)/i,/^(?:\\{)/i,/^(?:%%(?!\\{)\[^\\n\]\*)/i,/^(?:\\})/i,/^(?:\[\\n\])/i,/^(?:note\\s+)/i,/^(?:left of\\b)/i,/^(?:right of\\b)/i,/^(?:")/i,/^(?:\\s\*as\\s\*)/i,/^(?:\["\])/i,/^(?:\[^"\]\*)/i,/^(?:\[^\\n\]\*)/i,/^(?:\\s\*\[^:\\n\\s\\-\]+)/i,/^(?:\\s\*:\[^:\\n;\]+)/i,/^(?:\[\\s\\S\]\*?end note\\b)/i,/^(?:stateDiagram\\s+)/i,/^(?:stateDiagram-v2\\s+)/i,/^(?:hide empty description\\b)/i,/^(?:\\\[\\\*\\\])/i,/^(?:\[^:\\n\\s\\-\\{\]+)/i,/^(?:\\s\*:\[^:\\n;\]+)/i,/^(?:-->)/i,/^(?:--)/i,/^(?::::)/i,/^(?:$)/i,/^(?:.)/i\],conditions:{LINE:{rules:\[9,10\],inclusive:!1},struct:{rules:\[9,10,22,26,32,39,40,41,42,51,52,53,54,68,69,70,71,72\],inclusive:!1},FLOATING\_NOTE\_ID:{rules:\[61\],inclusive:!1},FLOATING\_NOTE:{rules:\[58,59,60\],inclusive:!1},NOTE\_TEXT:{rules:\[63,64\],inclusive:!1},NOTE\_ID:{rules:\[62\],inclusive:!1},NOTE:{rules:\[55,56,57\],inclusive:!1},CLASS\_STYLE:{rules:\[28\],inclusive:!1},CLASS:{rules:\[27\],inclusive:!1},CLASSDEFID:{rules:\[25\],inclusive:!1},CLASSDEF:{rules:\[23,24\],inclusive:!1},acc\_descr\_multiline:{rules:\[20,21\],inclusive:!1},acc\_descr:{rules:\[18\],inclusive:!1},acc\_title:{rules:\[16\],inclusive:!1},SCALE:{rules:\[13,14,30,31\],inclusive:!1},ALIAS:{rules:\[\],inclusive:!1},STATE\_ID:{rules:\[45\],inclusive:!1},STATE\_STRING:{rules:\[46,47\],inclusive:!1},FORK\_STATE:{rules:\[\],inclusive:!1},STATE:{rules:\[9,10,33,34,35,36,37,38,43,44,48,49,50\],inclusive:!1},ID:{rules:\[9,10\],inclusive:!1},INITIAL:{rules:\[0,1,2,3,4,5,6,7,8,10,11,12,15,17,19,22,26,29,32,50,54,65,66,67,68,69,70,71,73,74,75\],inclusive:!0}}};return Ct}();Ot.lexer=Nt;function qt(){this.yy={}}return qt.prototype=Ot,Ot.Parser=qt,new qt}();kgt.parser=kgt;const $Rt=kgt,FGe="LR",BGe="TB",PK="state",Egt="relation",RGe="classDef",jGe="applyClass",RP="default",zRt="divider",Tgt="\[\*\]",qRt="start",HRt=Tgt,GRt="end",VRt="color",URt="fill",$Ge="bgFill",zGe=",";function WRt(){return{}}let KRt=FGe,FK=\[\],jP=WRt();const YRt=()=>({relations:\[\],states:{},documents:{}});let BK={root:YRt()},k0=BK.root,$P=0,XRt=0;const qGe={LINE:0,DOTTED\_LINE:1},HGe={AGGREGATION:0,EXTENSION:1,COMPOSITION:2,DEPENDENCY:3},RK=i=>JSON.parse(JSON.stringify(i)),GGe=i=>{Ut.info("Setting root doc",i),FK=i},VGe=()=>FK,jK=(i,a,f)=>{if(a.stmt===Egt)jK(i,a.state1,!0),jK(i,a.state2,!1);else if(a.stmt===PK&&(a.id==="\[\*\]"?(a.id=f?i.id+"\_start":i.id+"\_end",a.start=f):a.id=a.id.trim()),a.doc){const p=\[\];let v=\[\],m;for(m=0;m0&&v.length>0){const b={stmt:PK,id:HDt(),type:"divider",doc:RK(v)};p.push(RK(b)),a.doc=p}a.doc.forEach(b=>jK(a,b,!0))}},UGe=()=>(jK({id:"root"},{id:"root",doc:FK},!0),{id:"root",doc:FK}),WGe=i=>{let a;i.doc?a=i.doc:a=i,Ut.info(a),QRt(!0),Ut.info("Extract",a),a.forEach(f=>{switch(f.stmt){case PK:\_T(f.id.trim(),f.type,f.doc,f.description,f.note,f.classes,f.styles,f.textStyles);break;case Egt:ZRt(f.state1,f.state2,f.description);break;case RGe:JRt(f.id.trim(),f.classes);break;case jGe:Agt(f.id.trim(),f.styleClass);break}})},\_T=function(i,a=RP,f=null,p=null,v=null,m=null,b=null,E=null){const \_=i==null?void 0:i.trim();k0.states\[\_\]===void 0?(Ut.info("Adding state ",\_,p),k0.states\[\_\]={id:\_,descriptions:\[\],type:a,doc:f,note:v,classes:\[\],styles:\[\],textStyles:\[\]}):(k0.states\[\_\].doc||(k0.states\[\_\].doc=f),k0.states\[\_\].type||(k0.states\[\_\].type=a)),p&&(Ut.info("Setting state description",\_,p),typeof p=="string"&&Sgt(\_,p.trim()),typeof p=="object"&&p.forEach(L=>Sgt(\_,L.trim()))),v&&(k0.states\[\_\].note=v,k0.states\[\_\].note.text=Yr.sanitizeText(k0.states\[\_\].note.text,Le())),m&&(Ut.info("Setting state classes",\_,m),(typeof m=="string"?\[m\]:m).forEach(N=>Agt(\_,N.trim()))),b&&(Ut.info("Setting state styles",\_,b),(typeof b=="string"?\[b\]:b).forEach(N=>rVe(\_,N.trim()))),E&&(Ut.info("Setting state styles",\_,b),(typeof E=="string"?\[E\]:E).forEach(N=>iVe(\_,N.trim())))},QRt=function(i){BK={root:YRt()},k0=BK.root,$P=0,jP=WRt(),i||ap()},zP=function(i){return k0.states\[i\]},KGe=function(){return k0.states},YGe=function(){Ut.info("Documents = ",BK)},XGe=function(){return k0.relations};function Cgt(i=""){let a=i;return i===Tgt&&($P++,a=\`${qRt}${$P}\`),a}function \_gt(i="",a=RP){return i===Tgt?qRt:a}function QGe(i=""){let a=i;return i===HRt&&($P++,a=\`${GRt}${$P}\`),a}function ZGe(i="",a=RP){return i===HRt?GRt:a}function JGe(i,a,f){let p=Cgt(i.id.trim()),v=\_gt(i.id.trim(),i.type),m=Cgt(a.id.trim()),b=\_gt(a.id.trim(),a.type);\_T(p,v,i.doc,i.description,i.note,i.classes,i.styles,i.textStyles),\_T(m,b,a.doc,a.description,a.note,a.classes,a.styles,a.textStyles),k0.relations.push({id1:p,id2:m,relationTitle:Yr.sanitizeText(f,Le())})}const ZRt=function(i,a,f){if(typeof i=="object")JGe(i,a,f);else{const p=Cgt(i.trim()),v=\_gt(i),m=QGe(a.trim()),b=ZGe(a);\_T(p,v),\_T(m,b),k0.relations.push({id1:p,id2:m,title:Yr.sanitizeText(f,Le())})}},Sgt=function(i,a){const f=k0.states\[i\],p=a.startsWith(":")?a.replace(":","").trim():a;f.descriptions.push(Yr.sanitizeText(p,Le()))},tVe=function(i){return i.substring(0,1)===":"?i.substr(2).trim():i.trim()},eVe=()=>(XRt++,"divider-id-"+XRt),JRt=function(i,a=""){jP\[i\]===void 0&&(jP\[i\]={id:i,styles:\[\],textStyles:\[\]});const f=jP\[i\];a!=null&&a.split(zGe).forEach(p=>{const v=p.replace(/(\[^;\]\*);/,"$1").trim();if(p.match(VRt)){const b=v.replace(URt,$Ge).replace(VRt,URt);f.textStyles.push(b)}f.styles.push(v)})},nVe=function(){return jP},Agt=function(i,a){i.split(",").forEach(function(f){let p=zP(f);if(p===void 0){const v=f.trim();\_T(v),p=zP(v)}p.classes.push(a)})},rVe=function(i,a){const f=zP(i);f!==void 0&&f.textStyles.push(a)},iVe=function(i,a){const f=zP(i);f!==void 0&&f.textStyles.push(a)},O5={getConfig:()=>Le().state,addState:\_T,clear:QRt,getState:zP,getStates:KGe,getRelations:XGe,getClasses:nVe,getDirection:()=>KRt,addRelation:ZRt,getDividerId:eVe,setDirection:i=>{KRt=i},cleanupLabel:tVe,lineType:qGe,relationType:HGe,logDocuments:YGe,getRootDoc:VGe,setRootDoc:GGe,getRootDocV2:UGe,extract:WGe,trimColon:i=>i&&i\[0\]===":"?i.substr(1).trim():i.trim(),getAccTitle:op,setAccTitle:cg,getAccDescription:up,setAccDescription:cp,addStyleClass:JRt,setCssClass:Agt,addDescription:Sgt,setDiagramTitle:Z2,getDiagramTitle:Db},tjt=i=>\` defs #statediagram-barbEnd { fill: ${i.transitionColor}; stroke: ${i.transitionColor}; } g.stateGroup text { fill: ${i.nodeBorder}; stroke: none; font-size: 10px; } g.stateGroup text { fill: ${i.textColor}; stroke: none; font-size: 10px; } g.stateGroup .state-title { font-weight: bolder; fill: ${i.stateLabelColor}; } g.stateGroup rect { fill: ${i.mainBkg}; stroke: ${i.nodeBorder}; } g.stateGroup line { stroke: ${i.lineColor}; stroke-width: 1; } .transition { stroke: ${i.transitionColor}; stroke-width: 1; fill: none; } .stateGroup .composit { fill: ${i.background}; border-bottom: 1px } .stateGroup .alt-composit { fill: #e0e0e0; border-bottom: 1px } .state-note { stroke: ${i.noteBorderColor}; fill: ${i.noteBkgColor}; text { fill: ${i.noteTextColor}; stroke: none; font-size: 10px; } } .stateLabel .box { stroke: none; stroke-width: 0; fill: ${i.mainBkg}; opacity: 0.5; } .edgeLabel .label rect { fill: ${i.labelBackgroundColor}; opacity: 0.5; } .edgeLabel .label text { fill: ${i.transitionLabelColor||i.tertiaryTextColor}; } .label div .edgeLabel { color: ${i.transitionLabelColor||i.tertiaryTextColor}; } .stateLabel text { fill: ${i.stateLabelColor}; font-size: 10px; font-weight: bold; } .node circle.state-start { fill: ${i.specialStateColor}; stroke: ${i.specialStateColor}; } .node .fork-join { fill: ${i.specialStateColor}; stroke: ${i.specialStateColor}; } .node circle.state-end { fill: ${i.innerEndBackground}; stroke: ${i.background}; stroke-width: 1.5 } .end-state-inner { fill: ${i.compositeBackground||i.background}; // stroke: ${i.background}; stroke-width: 1.5 } .node rect { fill: ${i.stateBkg||i.mainBkg}; stroke: ${i.stateBorder||i.nodeBorder}; stroke-width: 1px; } .node polygon { fill: ${i.mainBkg}; stroke: ${i.stateBorder||i.nodeBorder};; stroke-width: 1px; } #statediagram-barbEnd { fill: ${i.lineColor}; } .statediagram-cluster rect { fill: ${i.compositeTitleBackground}; stroke: ${i.stateBorder||i.nodeBorder}; stroke-width: 1px; } .cluster-label, .nodeLabel { color: ${i.stateLabelColor}; } .statediagram-cluster rect.outer { rx: 5px; ry: 5px; } .statediagram-state .divider { stroke: ${i.stateBorder||i.nodeBorder}; } .statediagram-state .title-state { rx: 5px; ry: 5px; } .statediagram-cluster.statediagram-cluster .inner { fill: ${i.compositeBackground||i.background}; } .statediagram-cluster.statediagram-cluster-alt .inner { fill: ${i.altBackground?i.altBackground:"#efefef"}; } .statediagram-cluster .inner { rx:0; ry:0; } .statediagram-state rect.basic { rx: 5px; ry: 5px; } .statediagram-state rect.divider { stroke-dasharray: 10,10; fill: ${i.altBackground?i.altBackground:"#efefef"}; } .note-edge { stroke-dasharray: 5; } .statediagram-note rect { fill: ${i.noteBkgColor}; stroke: ${i.noteBorderColor}; stroke-width: 1px; rx: 0; ry: 0; } .statediagram-note rect { fill: ${i.noteBkgColor}; stroke: ${i.noteBorderColor}; stroke-width: 1px; rx: 0; ry: 0; } .statediagram-note text { fill: ${i.noteTextColor}; } .statediagram-note .nodeLabel { color: ${i.noteTextColor}; } .statediagram .edgeLabel { color: red; // ${i.noteTextColor}; } #dependencyStart, #dependencyEnd { fill: ${i.lineColor}; stroke: ${i.lineColor}; stroke-width: 1; } .statediagramTitleText { text-anchor: middle; font-size: 18px; fill: ${i.textColor}; } \`,Lgt={},sVe=(i,a)=>{Lgt\[i\]=a},aVe=i=>Lgt\[i\],ejt=()=>Object.keys(Lgt),oVe={get:aVe,set:sVe,keys:ejt,size:()=>ejt().length},cVe=i=>i.append("circle").attr("class","start-state").attr("r",Le().state.sizeUnit).attr("cx",Le().state.padding+Le().state.sizeUnit).attr("cy",Le().state.padding+Le().state.sizeUnit),uVe=i=>i.append("line").style("stroke","grey").style("stroke-dasharray","3").attr("x1",Le().state.textHeight).attr("class","divider").attr("x2",Le().state.textHeight\*2).attr("y1",0).attr("y2",0),lVe=(i,a)=>{const f=i.append("text").attr("x",2\*Le().state.padding).attr("y",Le().state.textHeight+2\*Le().state.padding).attr("font-size",Le().state.fontSize).attr("class","state-title").text(a.id),p=f.node().getBBox();return i.insert("rect",":first-child").attr("x",Le().state.padding).attr("y",Le().state.padding).attr("width",p.width+2\*Le().state.padding).attr("height",p.height+2\*Le().state.padding).attr("rx",Le().state.radius),f},hVe=(i,a)=>{const f=function(j,R,z){const K=j.append("tspan").attr("x",2\*Le().state.padding).text(R);z||K.attr("dy",Le().state.textHeight)},v=i.append("text").attr("x",2\*Le().state.padding).attr("y",Le().state.textHeight+1.3\*Le().state.padding).attr("font-size",Le().state.fontSize).attr("class","state-title").text(a.descriptions\[0\]).node().getBBox(),m=v.height,b=i.append("text").attr("x",Le().state.padding).attr("y",m+Le().state.padding\*.4+Le().state.dividerMargin+Le().state.textHeight).attr("class","state-description");let E=!0,\_=!0;a.descriptions.forEach(function(j){E||(f(b,j,\_),\_=!1),E=!1});const L=i.append("line").attr("x1",Le().state.padding).attr("y1",Le().state.padding+m+Le().state.dividerMargin/2).attr("y2",Le().state.padding+m+Le().state.dividerMargin/2).attr("class","descr-divider"),N=b.node().getBBox(),B=Math.max(N.width,v.width);return L.attr("x2",B+3\*Le().state.padding),i.insert("rect",":first-child").attr("x",Le().state.padding).attr("y",Le().state.padding).attr("width",B+2\*Le().state.padding).attr("height",N.height+m+2\*Le().state.padding).attr("rx",Le().state.radius),i},fVe=(i,a,f)=>{const p=Le().state.padding,v=2\*Le().state.padding,m=i.node().getBBox(),b=m.width,E=m.x,\_=i.append("text").attr("x",0).attr("y",Le().state.titleShift).attr("font-size",Le().state.fontSize).attr("class","state-title").text(a.id),N=\_.node().getBBox().width+v;let B=Math.max(N,b);B===b&&(B=B+v);let j;const R=i.node().getBBox();a.doc,j=E-p,N>b&&(j=(b-B)/2+p),Math.abs(E-R.x)b&&(j=E-(N-b)/2);const z=1-Le().state.textHeight;return i.insert("rect",":first-child").attr("x",j).attr("y",z).attr("class",f?"alt-composit":"composit").attr("width",B).attr("height",R.height+Le().state.textHeight+Le().state.titleShift+1).attr("rx","0"),\_.attr("x",j+p),N<=b&&\_.attr("x",E+(B-v)/2-N/2+p),i.insert("rect",":first-child").attr("x",j).attr("y",Le().state.titleShift-Le().state.textHeight-Le().state.padding).attr("width",B).attr("height",Le().state.textHeight\*3).attr("rx",Le().state.radius),i.insert("rect",":first-child").attr("x",j).attr("y",Le().state.titleShift-Le().state.textHeight-Le().state.padding).attr("width",B).attr("height",R.height+3+2\*Le().state.textHeight).attr("rx",Le().state.radius),i},dVe=i=>(i.append("circle").attr("class","end-state-outer").attr("r",Le().state.sizeUnit+Le().state.miniPadding).attr("cx",Le().state.padding+Le().state.sizeUnit+Le().state.miniPadding).attr("cy",Le().state.padding+Le().state.sizeUnit+Le().state.miniPadding),i.append("circle").attr("class","end-state-inner").attr("r",Le().state.sizeUnit).attr("cx",Le().state.padding+Le().state.sizeUnit+2).attr("cy",Le().state.padding+Le().state.sizeUnit+2)),gVe=(i,a)=>{let f=Le().state.forkWidth,p=Le().state.forkHeight;if(a.parentId){let v=f;f=p,p=v}return i.append("rect").style("stroke","black").style("fill","black").attr("width",f).attr("height",p).attr("x",Le().state.padding).attr("y",Le().state.padding)},pVe=(i,a,f,p)=>{let v=0;const m=p.append("text");m.style("text-anchor","start"),m.attr("class","noteText");let b=i.replace(/\\r\\n/g,"
");b=b.replace(/\\n/g,"
");const E=b.split(Yr.lineBreakRegex);let \_=1.25\*Le().state.noteMargin;for(const L of E){const N=L.trim();if(N.length>0){const B=m.append("tspan");if(B.text(N),\_===0){const j=B.node().getBBox();\_+=j.height}v+=\_,B.attr("x",a+Le().state.noteMargin),B.attr("y",f+v+1.25\*Le().state.noteMargin)}}return{textWidth:m.node().getBBox().width,textHeight:v}},bVe=(i,a)=>{a.attr("class","state-note");const f=a.append("rect").attr("x",0).attr("y",Le().state.padding),p=a.append("g"),{textWidth:v,textHeight:m}=pVe(i,0,0,p);return f.attr("height",m+2\*Le().state.noteMargin),f.attr("width",v+Le().state.noteMargin\*2),f},njt=function(i,a){const 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E="";if(Le().state.arrowMarkerAbsolute&&(E=window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search,E=E.replace(/\\(/g,"\\\\("),E=E.replace(/\\)/g,"\\\\)")),b.attr("marker-end","url("+E+"#"+p(O5.relationType.DEPENDENCY)+"End)"),f.title!==void 0){const \_=i.append("g").attr("class","stateLabel"),{x:L,y:N}=$a.calcLabelPosition(a.points),B=Yr.getRows(f.title);let j=0;const R=\[\];let z=0,K=0;for(let ut=0;ut<=B.length;ut++){const bt=\_.append("text").attr("text-anchor","middle").text(B\[ut\]).attr("x",L).attr("y",N+j),mt=bt.node().getBBox();z=Math.max(z,mt.width),K=Math.min(K,mt.x),Ut.info(mt.x,L,N+j),j===0&&(j=bt.node().getBBox().height,Ut.info("Title height",j,N)),R.push(bt)}let it=j\*B.length;if(B.length>1){const ut=(B.length-1)\*j\*.5;R.forEach((bt,mt)=>bt.attr("y",N+mt\*j-ut)),it=j\*B.length}const 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t.b.c.length!=0&&u(Fe(t.b,0),70).a?u(Fe(t.b,0),70).a:(e=rrt(t),e??""+(t.c?Ro(t.c.a,t,0):-1))}function Wz(t){var e;return t.f.c.length!=0&&u(Fe(t.f,0),70).a?u(Fe(t.f,0),70).a:(e=rrt(t),e??""+(t.i?Ro(t.i.j,t,0):-1))}function Rfn(t,e){var n,r;if(e<0||e>=t.gc())return null;for(n=e;n0?t.c:0),s=b.Math.max(s,e.d),++r;t.e=o,t.b=s}function $fn(t){var e,n;if(!t.b)for(t.b=y$(u(t.f,118).Ag().i),n=new er(u(t.f,118).Ag());n.e!=n.i.gc();)e=u(dr(n),137),ue(t.b,new net(e));return t.b}function zfn(t,e){var n,r,s;if(e.dc())return f8(),f8(),lN;for(n=new IWt(t,e.gc()),s=new er(t);s.e!=s.i.gc();)r=dr(s),e.Hc(r)&&Mr(n,r);return n}function V3t(t,e,n,r){return e==0?r?(!t.o&&(t.o=new Tl((Zc(),Eb),$w,t,0)),t.o):(!t.o&&(t.o=new Tl((Zc(),Eb),$w,t,0)),fI(t.o)):jz(t,e,n,r)}function mst(t){var e,n;if(t.rb)for(e=0,n=t.rb.i;e>22),s+=r>>22,s<0)?!1:(t.l=n&ul,t.m=r&ul,t.h=s&W0,!0)}function Vfn(t,e,n,r,s,o,h){var d,w;return!(e.Ae()&&(w=t.a.ue(n,r),w<0||!s&&w==0)||e.Be()&&(d=t.a.ue(n,o),d>0||!h&&d==0))}function Ufn(t,e){J8();var n;if(n=t.j.g-e.j.g,n!=0)return 0;switch(t.j.g){case 2:return qit(e,mTt)-qit(t,mTt);case 4:return qit(t,wTt)-qit(e,wTt)}return 0}function Wfn(t){switch(t.g){case 0:return klt;case 1:return Elt;case 2:return Tlt;case 3:return Clt;case 4:return PG;case 5:return \_lt;default:return null}}function Co(t,e,n){var r,s;return r=(s=new Ktt,f2(s,e),Xc(s,n),Mr((!t.c&&(t.c=new he(zw,t,12,10)),t.c),s),s),Ig(r,0),ty(r,1),Pg(r,!0),Ng(r,!0),r}function r6(t,e){var n,r;if(e>=t.i)throw rt(new Vet(e,t.i));return++t.j,n=t.g\[e\],r=t.i-e-1,r>0&&Ic(t.g,e+1,t.g,e,r),Ji(t.g,--t.i,null),t.fi(e,n),t.ci(),n}function Lse(t,e){var n,r;return t.Db>>16==17?t.Cb.ih(t,21,Gh,e):(r=no(u(yn((n=u(In(t,16),26),n||t.zh()),t.Db>>16),18)),t.Cb.ih(t,r.n,r.f,e))}function Kfn(t){var e,n,r,s;for(vn(),Xs(t.c,t.a),s=new S(t.c);s.an.a.c.length))throw rt(new Pn("index must be >= 0 and <= layer node count"));t.c&&vu(t.c.a,t),t.c=n,n&&$m(n.a,e,t)}function Nse(t,e){var n,r,s;for(r=new ar(lr(z0(t).a.Kc(),new 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l1n(t,e){switch(t.g){case 0:return e==(hh(),fb)?\_G:SG;case 1:return e==(hh(),fb)?\_G:vO;case 2:return e==(hh(),fb)?vO:SG;default:return vO}}function tD(t,e){var n,r,s;for(vu(t.a,e),t.e-=e.r+(t.a.c.length==0?0:t.c),s=jkt,r=new S(t.a);r.a>16==3?t.Cb.ih(t,12,ns,e):(r=no(u(yn((n=u(In(t,16),26),n||(Zc(),BAt)),t.Db>>16),18)),t.Cb.ih(t,r.n,r.f,e))}function e4t(t,e){var n,r;return t.Db>>16==11?t.Cb.ih(t,10,ns,e):(r=no(u(yn((n=u(In(t,16),26),n||(Zc(),jAt)),t.Db>>16),18)),t.Cb.ih(t,r.n,r.f,e))}function $se(t,e){var n,r;return t.Db>>16==10?t.Cb.ih(t,11,Gh,e):(r=no(u(yn((n=u(In(t,16),26),n||(dn(),ep)),t.Db>>16),18)),t.Cb.ih(t,r.n,r.f,e))}function zse(t,e){var n,r;return t.Db>>16==10?t.Cb.ih(t,12,Vh,e):(r=no(u(yn((n=u(In(t,16),26),n||(dn(),e3)),t.Db>>16),18)),t.Cb.ih(t,r.n,r.f,e))}function Lh(t){var e;return!(t.Bb&1)&&t.r&&t.r.kh()&&(e=u(t.r,49),t.r=u(Kp(t,e),138),t.r!=e&&t.Db&4&&!(t.Db&1)&&mi(t,new Qs(t,9,8,e,t.r))),t.r}function xst(t,e,n){var r;return r=ct(ot(ia,1),vo,25,15,\[\_4t(t,(Kf(),sc),e,n),\_4t(t,tu,e,n),\_4t(t,ac,e,n)\]),t.f&&(r\[0\]=b.Math.max(r\[0\],r\[2\]),r\[2\]=r\[0\]),r}function h1n(t,e){var n,r,s;if(s=sfn(t,e),s.c.length!=0)for(Xs(s,new FY),n=s.c.length,r=0;r>19,k=e.h>>19,w!=k?k-w:(s=t.h,d=e.h,s!=d?s-d:(r=t.m,h=e.m,r!=h?r-h:(n=t.l,o=e.l,n-o)))}function Kz(){Kz=Z,HEt=(gq(),Out),qEt=new mn(Gxt,HEt),zEt=($$(),Dut),$Et=new mn(Vxt,zEt),jEt=(Nz(),Iut),REt=new mn(Uxt,jEt),BEt=new mn(Wxt,(Fn(),!0))}function c\_(t,e,n){var r,s;r=e\*n,Et(t.g,145)?(s=Hx(t),s.f.d?s.f.a||(t.d.a+=r+P1):(t.d.d-=r+P1,t.d.a+=r+P1)):Et(t.g,10)&&(t.d.d-=r,t.d.a+=2\*r)}function qse(t,e,n){var r,s,o,h,d;for(s=t\[n.g\],d=new S(e.d);d.a0?t.g:0),++n;e.b=r,e.e=s}function Hse(t){var e,n,r;if(r=t.b,hGt(t.i,r.length)){for(n=r.length\*2,t.b=Pt(wut,LD,317,n,0,1),t.c=Pt(wut,LD,317,n,0,1),t.f=n-1,t.i=0,e=t.a;e;e=e.c)oD(t,e,e);++t.g}}function m1n(t,e,n,r){var s,o,h,d;for(s=0;sh&&(d=h/r),s>o&&(w=o/s),ud(t,b.Math.min(d,w)),t}function x1n(){yq();var 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3:s.d=o.b}fat(r),dat(r)}function loe(t,e,n){var r,s,o;switch(o=t.o,r=u(go(t.p,n),244),s=r.i,s.b=uD(r),s.a=cD(r),s.a=b.Math.max(s.a,o.b),s.a>o.b&&!e&&(s.a=o.b),s.d=-(s.a-o.b)/2,n.g){case 4:s.c=-s.b;break;case 2:s.c=o.a}fat(r),dat(r)}function Lgn(t,e){var n,r,s,o,h;if(!e.dc()){if(s=u(e.Xb(0),128),e.gc()==1){Bce(t,s,s,1,0,e);return}for(n=1;n0)try{s=$l(e,\_a,vi)}catch(o){throw o=Wi(o),Et(o,127)?(r=o,rt(new F$(r))):rt(o)}return n=(!t.a&&(t.a=new ztt(t)),t.a),s=0?u(St(n,s),56):null}function Ogn(t,e){if(t<0)return v\_(Hhe,ct(ot(Xn,1),Ie,1,5,\["index",de(t)\]));if(e<0)throw rt(new Pn(Ghe+e));return v\_("%s (%s) must be less than size (%s)",ct(ot(Xn,1),Ie,1,5,\["index",de(t),de(e)\]))}function Ngn(t){var e,n,r,s,o;if(t==null)return Tu;for(o=new c2(Ka,"\[","\]"),n=t,r=0,s=n.length;r0)for(h=t.c.d,d=t.d.d,s=ud(na(new $e(d.a,d.b),h),1/(r+1)),o=new $e(h.a,h.b),n=new S(t.a);n.a=0?t.\_g(n,!0,!0):lw(t,s,!0),153)),u(r,215).ol(e);else throw rt(new Pn(ab+e.ne()+W\_))}function Z4t(t){var e,n;return t>-0x800000000000&&t<0x800000000000?t==0?0:(e=t<0,e&&(t=-t),n=ps(b.Math.floor(b.Math.log(t)/.6931471805599453)),(!e||t!=b.Math.pow(2,n))&&++n,n):Fne(ku(t))}function Wgn(t){var e,n,r,s,o,h,d;for(o=new A0,n=new S(t);n.a2&&d.e.b+d.j.b<=2&&(s=d,r=h),o.a.zc(s,o),s.q=r);return o}function woe(t,e){var n,r,s;return r=new H0(t),Lo(r,e),Jt(r,(se(),GG),e),Jt(r,(Te(),os),(oa(),Vc)),Jt(r,Ld,(Qd(),PV)),\_0(r,(Gn(),xs)),n=new Mc,Uo(n,r),Fs(n,(be(),Bn)),s=new Mc,Uo(s,r),Fs(s,Hn),r}function moe(t){switch(t.g){case 0:return new eet((Zv(),OO));case 1:return new OB;case 2:return new JJ;default:throw rt(new Pn("No implementation is available for the crossing minimizer "+(t.f!=null?t.f:""+t.g)))}}function yoe(t,e){var n,r,s,o,h;for(t.c\[e.p\]=!0,ue(t.a,e),h=new S(e.j);h.a=o)h.$b();else for(s=h.Kc(),r=0;r0?Xpt():h<0&&Toe(t,e,-h),!0):!1}function cD(t){var e,n,r,s,o,h,d;if(d=0,t.b==0){for(h=ase(t,!0),e=0,r=h,s=0,o=r.length;s0&&(d+=n,++e);e>1&&(d+=t.c\*(e-1))}else d=Jqt(lne(Jj(Ri($nt(t.a),new Al),new ua)));return d>0?d+t.n.d+t.n.a:0}function uD(t){var e,n,r,s,o,h,d;if(d=0,t.b==0)d=Jqt(lne(Jj(Ri($nt(t.a),new Zl),new Pa)));else{for(h=ose(t,!0),e=0,r=h,s=0,o=r.length;s0&&(d+=n,++e);e>1&&(d+=t.c\*(e-1))}return d>0?d+t.n.b+t.n.c:0}function epn(t,e){var n,r,s,o;for(o=u(go(t.b,e),124),n=o.a,s=u(u(Ai(t.r,e),21),84).Kc();s.Ob();)r=u(s.Pb(),111),r.c&&(n.a=b.Math.max(n.a,Bvt(r.c)));if(n.a>0)switch(e.g){case 2:o.n.c=t.s;break;case 4:o.n.b=t.s}}function npn(t,e){var n,r,s;return n=u(Q(e,(Zf(),t7)),19).a-u(Q(t,t7),19).a,n==0?(r=na(nc(u(Q(t,(Gp(),dO)),8)),u(Q(t,lS),8)),s=na(nc(u(Q(e,dO),8)),u(Q(e,lS),8)),Ls(r.a\*r.b,s.a\*s.b)):n}function rpn(t,e){var n,r,s;return n=u(Q(e,(hw(),EV)),19).a-u(Q(t,EV),19).a,n==0?(r=na(nc(u(Q(t,(fc(),FO)),8)),u(Q(t,BS),8)),s=na(nc(u(Q(e,FO),8)),u(Q(e,BS),8)),Ls(r.a\*r.b,s.a\*s.b)):n}function Coe(t){var e,n;return n=new \_p,n.a+="e\_",e=fcn(t),e!=null&&(n.a+=""+e),t.c&&t.d&&(Vr((n.a+=" 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s,o,h,d,w,k;for(s=0;s=0&&k>=0&&w=t.i)throw rt(new mo(Wct+e+S2+t.i));if(n>=t.i)throw rt(new mo(Kct+n+S2+t.i));return r=t.g\[n\],e!=n&&(e>16),e=r>>16&16,n=16-e,t=t>>e,r=t-256,e=r>>16&8,n+=e,t<<=e,r=t-yy,e=r>>16&4,n+=e,t<<=e,r=t-bd,e=r>>16&2,n+=e,t<<=e,r=t>>14,e=r&~(r>>1),n+2-e)}function ppn(t){jx();var e,n,r,s;for(nG=new le,qut=new Cr,zut=new le,e=(!t.a&&(t.a=new he(ns,t,10,11)),t.a),W4n(e),s=new er(e);s.e!=s.i.gc();)r=u(dr(s),33),Ro(nG,r,0)==-1&&(n=new le,ue(zut,n),Rie(r,n));return zut}function bpn(t,e,n){var r,s,o,h;t.a=n.b.d,Et(e,352)?(s=m4(u(e,79),!1,!1),o=sD(s),r=new ka(t),va(o,r),yD(o,s),e.We((ci(),i5))!=null&&va(u(e.We(i5),74),r)):(h=u(e,470),h.Hg(h.Dg()+t.a.a),h.Ig(h.Eg()+t.a.b))}function Aoe(t,e){var n,r,s,o,h,d,w,k;for(k=Xt(ye(Q(e,(Te(),\_S)))),w=t\[0\].n.a+t\[0\].o.a+t\[0\].d.c+k,d=1;d=0?n:(d=AC(na(new $e(h.c+h.b/2,h.d+h.a/2),new $e(o.c+o.b/2,o.d+o.a/2))),-(Xue(o,h)-1)\*d)}function wpn(t,e,n){var r;us(new Tn(null,(!n.a&&(n.a=new he(Zi,n,6,6)),new \_n(n.a,16))),new fVt(t,e)),us(new Tn(null,(!n.n&&(n.n=new he(qo,n,1,7)),new \_n(n.n,16))),new dVt(t,e)),r=u(qe(n,(ci(),i5)),74),r&&ayt(r,t,e)}function lw(t,e,n){var r,s,o;if(o=E4((Ru(),ma),t.Tg(),e),o)return to(),u(o,66).Oj()||(o=qx(Eo(ma,o))),s=(r=t.Yg(o),u(r>=0?t.\_g(r,!0,!0):lw(t,o,!0),153)),u(s,215).hl(e,n);throw rt(new Pn(ab+e.ne()+Fct))}function r5t(t,e,n,r){var s,o,h,d,w;if(s=t.d\[e\],s){if(o=s.g,w=s.i,r!=null){for(d=0;d=n&&(r=e,k=(w.c+w.a)/2,h=k-n,w.c<=k-n&&(s=new ynt(w.c,h),$m(t,r++,s)),d=k+n,d<=w.a&&(o=new ynt(d,w.a),Um(r,t.c.length),W9(t.c,r,o)))}function i5t(t){var e;if(!t.c&&t.g==null)t.d=t.si(t.f),Mr(t,t.d),e=t.d;else{if(t.g==null)return!0;if(t.i==0)return!1;e=u(t.g\[t.i-1\],47)}return e==t.b&&null.km>=null.jm()?(aq(t),i5t(t)):e.Ob()}function kpn(t,e,n){var r,s,o,h,d;if(d=n,!d&&(d=Pvt(new Yk,0)),wr(d,Vfe,1),Xle(t.c,e),h=F3n(t.a,e),h.gc()==1)Dle(u(h.Xb(0),37),d);else for(o=1/h.gc(),s=h.Kc();s.Ob();)r=u(s.Pb(),37),Dle(r,Rc(d,o));MKe(t.a,h,e),Fvn(e),or(d)}function Ioe(t){if(this.a=t,t.c.i.k==(Gn(),xs))this.c=t.c,this.d=u(Q(t.c.i,(se(),oc)),61);else if(t.d.i.k==xs)this.c=t.d,this.d=u(Q(t.d.i,(se(),oc)),61);else throw rt(new Pn("Edge "+t+" is not an external edge."))}function Doe(t,e){var n,r,s;s=t.b,t.b=e,t.Db&4&&!(t.Db&1)&&mi(t,new Qs(t,1,3,s,t.b)),e?e!=t&&(Xc(t,e.zb),tit(t,e.d),n=(r=e.c,r??e.zb),nit(t,n==null||hn(n,e.zb)?null:n)):(Xc(t,null),tit(t,0),nit(t,null))}function Ooe(t){var e,n;if(t.f){for(;t.n=h)throw rt(new jm(e,h));return s=n\[e\],h==1?r=null:(r=Pt(Tft,Jct,415,h-1,0,1),Ic(n,0,r,0,e),o=h-e-1,o>0&&Ic(n,e+1,r,e,o)),cE(t,r),noe(t,e,s),s}function a6(){a6=Z,W6=u(St(Wt((sbt(),pc).qb),6),34),U6=u(St(Wt(pc.qb),3),34),Mft=u(St(Wt(pc.qb),4),34),Ift=u(St(Wt(pc.qb),5),18),Qz(W6),Qz(U6),Qz(Mft),Qz(Ift),h5e=new wl(ct(ot(Au,1),P4,170,0,\[W6,U6\]))}function Boe(t,e){var n;this.d=new M9,this.b=e,this.e=new yo(e.qf()),n=t.u.Hc((Qu(),tN)),t.u.Hc(tg)?t.D?this.a=n&&!e.If():this.a=!0:t.u.Hc(xb)?n?this.a=!(e.zf().Kc().Ob()||e.Bf().Kc().Ob()):this.a=!1:this.a=!1}function Roe(t,e){var n,r,s,o;for(n=t.o.a,o=u(u(Ai(t.r,e),21),84).Kc();o.Ob();)s=u(o.Pb(),111),s.e.a=(r=s.b,r.Xe((ci(),hl))?r.Hf()==(be(),Bn)?-r.rf().a-Xt(ye(r.We(hl))):n+Xt(ye(r.We(hl))):r.Hf()==(be(),Bn)?-r.rf().a:n)}function joe(t,e){var n,r,s,o;n=u(Q(t,(Te(),Vl)),103),o=u(qe(e,v7),61),s=u(Q(t,os),98),s!=(oa(),H1)&&s!=yb?o==(be(),Zo)&&(o=nxt(e,n),o==Zo&&(o=Jx(n))):(r=Ile(e),r>0?o=Jx(n):o=HI(Jx(n))),bo(e,v7,o)}function \_pn(t,e){var n,r,s,o,h;for(h=t.j,e.a!=e.b&&Xs(h,new K5),s=h.c.length/2|0,r=0;r0&&vD(t,n,e),o):r.a!=null?(vD(t,e,n),-1):s.a!=null?(vD(t,n,e),1):0}function $oe(t,e){var n,r,s,o;t.ej()?(n=t.Vi(),o=t.fj(),++t.j,t.Hi(n,t.oi(n,e)),r=t.Zi(3,null,e,n,o),t.bj()?(s=t.cj(e,null),s?(s.Ei(r),s.Fi()):t.$i(r)):t.$i(r)):(nXt(t,e),t.bj()&&(s=t.cj(e,null),s&&s.Fi()))}function iq(t,e){var n,r,s,o,h;for(h=au(t.e.Tg(),e),s=new 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Qs(t,1,3,e,e))}function mE(t){var e,n,r,s,o;if(r=Lh(t),o=t.j,o==null&&r)return t.$j()?null:r.zj();if(Et(r,148)){if(n=r.Aj(),n&&(s=n.Nh(),s!=t.i)){if(e=u(r,148),e.Ej())try{t.g=s.Kh(e,o)}catch(h){if(h=Wi(h),Et(h,78))t.g=null;else throw rt(h)}t.i=s}return t.g}return null}function Cce(t){var e;return e=new le,ue(e,new Tx(new $e(t.c,t.d),new $e(t.c+t.b,t.d))),ue(e,new Tx(new $e(t.c,t.d),new $e(t.c,t.d+t.a))),ue(e,new Tx(new $e(t.c+t.b,t.d+t.a),new $e(t.c+t.b,t.d))),ue(e,new Tx(new $e(t.c+t.b,t.d+t.a),new $e(t.c,t.d+t.a))),e}function \_ce(t,e,n,r){var s,o,h;if(h=c4t(e,n),r.c\[r.c.length\]=e,t.j\[h.p\]==-1||t.j\[h.p\]==2||t.a\[e.p\])return r;for(t.j\[h.p\]=-1,o=new ar(lr(z0(h).a.Kc(),new z));zr(o);)if(s=u(Lr(o),17),!(!(!Va(s)&&!(!Va(s)&&s.c.i.c==s.d.i.c))||s==e))return \_ce(t,s,h,r);return r}function s2n(t,e,n){var r,s,o;for(o=e.a.ec().Kc();o.Ob();)s=u(o.Pb(),79),r=u(Jn(t.b,s),266),!r&&(ts(Zd(s))==ts(Xp(s))?yvn(t,s,n):Zd(s)==ts(Xp(s))?Jn(t.c,s)==null&&Jn(t.b,Xp(s))!=null&&she(t,s,n,!1):Jn(t.d,s)==null&&Jn(t.b,Zd(s))!=null&&she(t,s,n,!0))}function a2n(t,e){var n,r,s,o,h,d,w;for(s=t.Kc();s.Ob();)for(r=u(s.Pb(),10),d=new Mc,Uo(d,r),Fs(d,(be(),Hn)),Jt(d,(se(),VG),(Fn(),!0)),h=e.Kc();h.Ob();)o=u(h.Pb(),10),w=new Mc,Uo(w,o),Fs(w,Bn),Jt(w,VG,!0),n=new zv,Jt(n,VG,!0),Da(n,d),sa(n,w)}function o2n(t,e,n,r){var s,o,h,d;s=xie(t,e,n),o=xie(t,n,e),h=u(Jn(t.c,e),112),d=u(Jn(t.c,n),112),sr.b.g&&(o.c\[o.c.length\]=r);return o}function yE(){yE=Z,n5=new \_M("CANDIDATE\_POSITION\_LAST\_PLACED\_RIGHT",0),R6=new \_M("CANDIDATE\_POSITION\_LAST\_PLACED\_BELOW",1),qS=new \_M("CANDIDATE\_POSITION\_WHOLE\_DRAWING\_RIGHT",2),zS=new \_M("CANDIDATE\_POSITION\_WHOLE\_DRAWING\_BELOW",3),HS=new \_M("WHOLE\_DRAWING",4)}function c2n(t,e){if(Et(e,239))return Run(t,u(e,33));if(Et(e,186))return Qun(t,u(e,118));if(Et(e,354))return lnn(t,u(e,137));if(Et(e,352))return Nmn(t,u(e,79));if(e)return null;throw rt(new Pn(k8t+Qp(new wl(ct(ot(Xn,1),Ie,1,5,\[e\])))))}function u2n(t){var e,n,r,s,o,h,d;for(o=new Qi,s=new S(t.d.a);s.a1)for(e=Dv((n=new Ub,++t.b,n),t.d),d=ei(o,0);d.b!=d.d.c;)h=u(ti(d),121),vf(of(af(cf(sf(new Eh,1),0),e),h))}function C5t(t,e){var n,r;if(e!=t.Cb||t.Db>>16!=11&&e){if(lE(t,e))throw rt(new Pn(K\_+H5t(t)));r=null,t.Cb&&(r=(n=t.Db>>16,n>=0?e4t(t,r):t.Cb.ih(t,-1-n,null,r))),e&&(r=e6(e,t,10,r)),r=rvt(t,e,r),r&&r.Fi()}else t.Db&4&&!(t.Db&1)&&mi(t,new Qs(t,1,11,e,e))}function l2n(t){var e,n,r,s;for(r=new h2(new wg(t.b).a);r.b;)n=Yv(r),s=u(n.cd(),11),e=u(n.dd(),10),Jt(e,(se(),\_i),s),Jt(s,Zu,e),Jt(s,kO,(Fn(),!0)),Fs(s,u(Q(e,oc),61)),Q(e,oc),Jt(s.i,(Te(),os),(oa(),L7)),u(Q(Fa(s.i),Gc),21).Fc((oo(),f7))}function h2n(t,e,n){var r,s,o,h,d,w;if(o=0,h=0,t.c)for(w=new S(t.d.i.j);w.ao.a?-1:s.aw){for(C=t.d,t.d=Pt(HAt,I8t,63,2\*w+4,0,1),o=0;o=9223372036854776e3?(N8(),Z8t):(s=!1,t<0&&(s=!0,t=-t),r=0,t>=x2&&(r=ps(t/x2),t-=r\*x2),n=0,t>=f6&&(n=ps(t/f6),t-=n\*f6),e=ps(t),o=ru(e,n,r),s&&vit(o),o)}function x2n(t,e){var n,r,s,o;for(n=!e||!t.u.Hc((Qu(),tg)),o=0,s=new S(t.e.Cf());s.a=-e&&r==e?new la(de(n-1),de(r)):new la(de(n),de(r-1))}function Ice(){return ro(),ct(ot(hxn,1),ae,77,0,\[U7t,H7t,hS,rlt,hTt,gG,TG,r7,uTt,tTt,oTt,n7,lTt,Q7t,fTt,B7t,wG,ilt,fG,xG,gTt,yG,R7t,cTt,pTt,kG,dTt,dG,K7t,sTt,iTt,CG,z7t,hG,bG,$7t,e7,nTt,Z7t,aTt,fS,G7t,q7t,rTt,J7t,vG,EG,j7t,mG,eTt,pG,Y7t,W7t,bO,lG,X7t,V7t\])}function C2n(t,e,n){t.d=0,t.b=0,e.k==(Gn(),Hc)&&n.k==Hc&&u(Q(e,(se(),\_i)),10)==u(Q(n,\_i),10)&&(Grt(e).j==(be(),Nn)?bce(t,e,n):bce(t,n,e)),e.k==Hc&&n.k==Zs?Grt(e).j==(be(),Nn)?t.d=1:t.b=1:n.k==Hc&&e.k==Zs&&(Grt(n).j==(be(),Nn)?t.b=1:t.d=1),ffn(t,e,n)}function \_2n(t){var e,n,r,s,o,h,d,w,k,C,M;return M=T4t(t),e=t.a,w=e!=null,w&&p8(M,"category",t.a),s=fM(new Tm(t.d)),h=!s,h&&(k=new bg,Wf(M,"knownOptions",k),n=new mzt(k),va(new Tm(t.d),n)),o=fM(t.g),d=!o,d&&(C=new bg,Wf(M,"supportedFeatures",C),r=new yzt(C),va(t.g,r)),M}function S2n(t){var e,n,r,s,o,h,d,w,k;for(r=!1,e=336,n=0,o=new OWt(t.length),d=t,w=0,k=d.length;w>16!=7&&e){if(lE(t,e))throw rt(new Pn(K\_+Rae(t)));r=null,t.Cb&&(r=(n=t.Db>>16,n>=0?Q3t(t,r):t.Cb.ih(t,-1-n,null,r))),e&&(r=u(e,49).gh(t,1,sN,r)),r=Yvt(t,e,r),r&&r.Fi()}else t.Db&4&&!(t.Db&1)&&mi(t,new Qs(t,1,7,e,e))}function Dce(t,e){var n,r;if(e!=t.Cb||t.Db>>16!=3&&e){if(lE(t,e))throw rt(new Pn(K\_+Wre(t)));r=null,t.Cb&&(r=(n=t.Db>>16,n>=0?J3t(t,r):t.Cb.ih(t,-1-n,null,r))),e&&(r=u(e,49).gh(t,0,oN,r)),r=Xvt(t,e,r),r&&r.Fi()}else t.Db&4&&!(t.Db&1)&&mi(t,new Qs(t,1,3,e,e))}function Zst(t,e){bE();var n,r,s,o,h,d,w,k,C;return e.d>t.d&&(d=t,t=e,e=d),e.d<63?vvn(t,e):(h=(t.d&-2)<<4,k=umt(t,h),C=umt(e,h),r=gat(t,Gx(k,h)),s=gat(e,Gx(C,h)),w=Zst(k,C),n=Zst(r,s),o=Zst(gat(k,r),gat(s,C)),o=kat(kat(o,w),n),o=Gx(o,h),w=Gx(w,h<<1),kat(kat(w,o),n))}function L2n(t,e,n){var r,s,o,h,d;for(h=QC(t,n),d=Pt(o0,zg,10,e.length,0,1),r=0,o=h.Kc();o.Ob();)s=u(o.Pb(),11),je(Re(Q(s,(se(),kO))))&&(d\[r++\]=u(Q(s,Zu),10));if(r=0;o+=n?1:-1)h=h|e.c.Sf(w,o,n,r&&!je(Re(Q(e.j,(se(),Mw))))&&!je(Re(Q(e.j,(se(),K4))))),h=h|e.q.\_f(w,o,n),h=h|vue(t,w\[o\],n,r);return Ns(t.c,e),h}function lq(t,e,n){var r,s,o,h,d,w,k,C,M,F;for(C=bZt(t.j),M=0,F=C.length;M1&&(t.a=!0),Vtn(u(n.b,65),Li(nc(u(e.b,65).c),ud(na(nc(u(n.b,65).a),u(e.b,65).a),s))),MQt(t,e),Oce(t,n)}function Nce(t){var e,n,r,s,o,h,d;for(o=new S(t.a.a);o.a0&&o>0?h.p=e++:r>0?h.p=n++:o>0?h.p=s++:h.p=n++}vn(),Xs(t.j,new \_L)}function N2n(t){var e,n;n=null,e=u(Fe(t.g,0),17);do{if(n=e.d.i,Vs(n,(se(),Rh)))return u(Q(n,Rh),11).i;if(n.k!=(Gn(),Ds)&&zr(new ar(lr(Ms(n).a.Kc(),new z))))e=u(Lr(new ar(lr(Ms(n).a.Kc(),new z))),17);else if(n.k!=Ds)return null}while(n&&n.k!=(Gn(),Ds));return n}function P2n(t,e){var n,r,s,o,h,d,w,k,C;for(d=e.j,h=e.g,w=u(Fe(d,d.c.length-1),113),C=(An(0,d.c.length),u(d.c\[0\],113)),k=vst(t,h,w,C),o=1;ok&&(w=n,C=s,k=r);e.a=C,e.c=w}function F2n(t,e){var n,r;if(r=YM(t.b,e.b),!r)throw rt(new Fo("Invalid hitboxes for scanline constraint calculation."));(zne(e.b,u(FQe(t.b,e.b),57))||zne(e.b,u(PQe(t.b,e.b),57)))&&(qd(),e.b+""),t.a\[e.b.f\]=u(gnt(t.b,e.b),57),n=u(dnt(t.b,e.b),57),n&&(t.a\[n.f\]=e.b)}function vf(t){if(!t.a.d||!t.a.e)throw rt(new Fo((L0(Yge),Yge.k+" must have a source and target "+(L0(JEt),JEt.k)+" specified.")));if(t.a.d==t.a.e)throw rt(new Fo("Network simplex does not support self-loops: "+t.a+" "+t.a.d+" "+t.a.e));return pj(t.a.d.g,t.a),pj(t.a.e.b,t.a),t.a}function B2n(t,e,n){var r,s,o,h,d,w,k;for(k=new Lp(new w$t(t)),h=ct(ot(Fbe,1),Kfe,11,0,\[e,n\]),d=0,w=h.length;dw-t.b&&dw-t.a&&d0&&++H;++F}return H}function W2n(t,e){var n,r,s,o,h;for(h=u(Q(e,(hw(),a\_t)),425),o=ei(e.b,0);o.b!=o.d.c;)if(s=u(ti(o),86),t.b\[s.g\]==0){switch(h.g){case 0:cse(t,s);break;case 1:Ypn(t,s)}t.b\[s.g\]=2}for(r=ei(t.a,0);r.b!=r.d.c;)n=u(ti(r),188),ry(n.b.d,n,!0),ry(n.c.b,n,!0);Jt(e,(fc(),JCt),t.a)}function au(t,e){to();var n,r,s,o;return e?e==(Di(),\_5e)||(e==g5e||e==U2||e==d5e)&&t!=bLt?new xxt(t,e):(r=u(e,677),n=r.pk(),n||(k8(Eo((Ru(),ma),e)),n=r.pk()),o=(!n.i&&(n.i=new Cr),n.i),s=u(ec(Ao(o.f,t)),1942),!s&&ki(o,t,s=new xxt(t,e)),s):l5e}function K2n(t,e){var n,r,s,o,h,d,w,k,C;for(w=u(Q(t,(se(),\_i)),11),k=Ko(ct(ot(Us,1),te,8,0,\[w.i.n,w.n,w.a\])).a,C=t.i.n.b,n=gd(t.e),s=n,o=0,h=s.length;o0?o.a?(d=o.b.rf().a,n>d&&(s=(n-d)/2,o.d.b=s,o.d.c=s)):o.d.c=t.s+n:TC(t.u)&&(r=C4t(o.b),r.c<0&&(o.d.b=-r.c),r.c+r.b>o.b.rf().a&&(o.d.c=r.c+r.b-o.b.rf().a))}function Z2n(t,e){var n,r,s,o;for(wr(e,"Semi-Interactive Crossing Minimization Processor",1),n=!1,s=new S(t.b);s.a=0){if(e==n)return new la(de(-e-1),de(-e-1));if(e==-n)return new la(de(-e),de(n+1))}return b.Math.abs(e)>b.Math.abs(n)?e<0?new la(de(-e),de(n)):new la(de(-e),de(n+1)):new la(de(e+1),de(n))}function evn(t){var e,n;n=u(Q(t,(Te(),cu)),163),e=u(Q(t,(se(),O2)),303),n==(hh(),fb)?(Jt(t,cu,CO),Jt(t,O2,(B0(),U4))):n==Fy?(Jt(t,cu,CO),Jt(t,O2,(B0(),A6))):e==(B0(),U4)?(Jt(t,cu,fb),Jt(t,O2,yO)):e==A6&&(Jt(t,cu,Fy),Jt(t,O2,yO))}function hq(){hq=Z,NO=new AQ,Pme=bi(new Hs,(Wa(),ou),(ro(),fG)),Rme=Ku(bi(new Hs,ou,yG),Io,mG),jme=aw(aw(OR(Ku(bi(new Hs,Ad,TG),Io,EG),qc),kG),CG),Fme=Ku(bi(bi(bi(new Hs,lb,gG),qc,bG),qc,e7),Io,pG),Bme=Ku(bi(bi(new Hs,qc,e7),qc,hG),Io,lG)}function b\_(){b\_=Z,qme=bi(Ku(new Hs,(Wa(),Io),(ro(),Y7t)),ou,fG),Ume=aw(aw(OR(Ku(bi(new Hs,Ad,TG),Io,EG),qc),kG),CG),Hme=Ku(bi(bi(bi(new Hs,lb,gG),qc,bG),qc,e7),Io,pG),Vme=bi(bi(new Hs,ou,yG),Io,mG),Gme=Ku(bi(bi(new Hs,qc,e7),qc,hG),Io,lG)}function nvn(t,e,n,r,s){var o,h;(!Va(e)&&e.c.i.c==e.d.i.c||!Yee(Ko(ct(ot(Us,1),te,8,0,\[s.i.n,s.n,s.a\])),n))&&!Va(e)&&(e.c==s?h8(e.a,0,new yo(n)):ni(e.a,new 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vmn(t,e){var n,r,s,o,h,d,w,k,C,M;for(wr(e,"Hypernodes processing",1),s=new S(t.b);s.an);return s}function ile(t,e){var n,r,s;r=ol(t.d,1)!=0,!je(Re(Q(e.j,(se(),Mw))))&&!je(Re(Q(e.j,K4)))||Gt(Q(e.j,(Te(),db)))===Gt((j0(),gb))?e.c.Tf(e.e,r):r=je(Re(Q(e.j,Mw))),pD(t,e,r,!0),je(Re(Q(e.j,K4)))&&Jt(e.j,K4,(Fn(),!1)),je(Re(Q(e.j,Mw)))&&(Jt(e.j,Mw,(Fn(),!1)),Jt(e.j,K4,!0)),n=Rst(t,e);do{if(iyt(t),n==0)return 0;r=!r,s=n,pD(t,e,r,!1),n=Rst(t,e)}while(s>n);return s}function sle(t,e,n){var r,s,o,h,d,w,k,C,M,F,H,V;if(e==n)return!0;if(e=c5t(t,e),n=c5t(t,n),r=lst(e),r){if(C=lst(n),C!=r)return C?(w=r.Dj(),V=C.Dj(),w==V&&w!=null):!1;if(h=(!e.d&&(e.d=new Ss(ho,e,1)),e.d),o=h.i,F=(!n.d&&(n.d=new Ss(ho,n,1)),n.d),o==F.i){for(k=0;k0,d=\_z(e,o),L2t(n?d.b:d.g,e),o4(d).c.length==1&&hs(r,d,r.c.b,r.c),s=new la(o,e),qp(t.o,s),vu(t.e.a,o))}function ule(t,e){var n,r,s,o,h,d,w;return r=b.Math.abs(Gj(t.b).a-Gj(e.b).a),d=b.Math.abs(Gj(t.b).b-Gj(e.b).b),s=0,w=0,n=1,h=1,r>t.b.b/2+e.b.b/2&&(s=b.Math.min(b.Math.abs(t.b.c-(e.b.c+e.b.b)),b.Math.abs(t.b.c+t.b.b-e.b.c)),n=1-s/r),d>t.b.a/2+e.b.a/2&&(w=b.Math.min(b.Math.abs(t.b.d-(e.b.d+e.b.a)),b.Math.abs(t.b.d+t.b.a-e.b.d)),h=1-w/d),o=b.Math.min(n,h),(1-o)\*b.Math.sqrt(r\*r+d\*d)}function Emn(t){var e,n,r,s;for(Lat(t,t.e,t.f,(qv(),bb),!0,t.c,t.i),Lat(t,t.e,t.f,bb,!1,t.c,t.i),Lat(t,t.e,t.f,e5,!0,t.c,t.i),Lat(t,t.e,t.f,e5,!1,t.c,t.i),Cmn(t,t.c,t.e,t.f,t.i),r=new ha(t.i,0);r.b=65;n--)U1\[n\]=n-65<<24>>24;for(r=122;r>=97;r--)U1\[r\]=r-97+26<<24>>24;for(s=57;s>=48;s--)U1\[s\]=s-48+52<<24>>24;for(U1\[43\]=62,U1\[47\]=63,o=0;o<=25;o++)rp\[o\]=65+o&ms;for(h=26,w=0;h<=51;++h,w++)rp\[h\]=97+w&ms;for(t=52,d=0;t<=61;++t,d++)rp\[t\]=48+d&ms;rp\[62\]=43,rp\[63\]=47}function Tmn(t,e){var n,r,s,o,h,d,w,k,C,M,F,H;if(t.dc())return new 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if(M=h,h==w){if(s==0)return Jp(),QE;C=Frt(t.a,o,e.a,d)}else C=Rrt(t.a,o,e.a,d);return k=new K3(M,C.length,C),OC(k),k}function sxt(t){var e,n,r,s,o,h;for(this.e=new le,this.a=new le,n=t.b-1;n<3;n++)h8(t,0,u(Qf(t,0),8));if(t.b<4)throw rt(new Pn("At (least dimension + 1) control points are necessary!"));for(this.b=3,this.d=!0,this.c=!1,kbn(this,t.b+this.b-1),h=new le,o=new S(this.e),e=0;e=e.o&&n.f<=e.f||e.a\*.5<=n.f&&e.a\*1.5>=n.f){if(h=u(Fe(e.n,e.n.c.length-1),211),h.e+h.d+n.g+s<=r&&(o=u(Fe(e.n,e.n.c.length-1),211),o.f-t.f+n.f<=t.b||t.a.c.length==1))return i3t(e,n),!0;if(e.s+n.g<=r&&(e.t+e.d+n.f+s<=t.b||t.a.c.length==1))return ue(e.b,n),d=u(Fe(e.n,e.n.c.length-1),211),ue(e.n,new f$(e.s,d.f+d.a+e.i,e.i)),$3t(u(Fe(e.n,e.n.c.length-1),211),n),lle(e,n),!0}return!1}function wle(t,e,n){var r,s,o,h;return t.ej()?(s=null,o=t.fj(),r=t.Zi(1,h=Krt(t,e,n),n,e,o),t.bj()&&!(t.ni()&&h!=null?yi(h,n):Gt(h)===Gt(n))?(h!=null&&(s=t.dj(h,s)),s=t.cj(n,s),t.ij()&&(s=t.lj(h,n,s)),s?(s.Ei(r),s.Fi()):t.$i(r)):(t.ij()&&(s=t.lj(h,n,s)),s?(s.Ei(r),s.Fi()):t.$i(r)),h):(h=Krt(t,e,n),t.bj()&&!(t.ni()&&h!=null?yi(h,n):Gt(h)===Gt(n))&&(s=null,h!=null&&(s=t.dj(h,null)),s=t.cj(n,s),s&&s.Fi()),h)}function y\_(t,e){var n,r,s,o,h,d,w,k;e%=24,t.q.getHours()!=e&&(r=new b.Date(t.q.getTime()),r.setDate(r.getDate()+1),d=t.q.getTimezoneOffset()-r.getTimezoneOffset(),d>0&&(w=d/60|0,k=d%60,s=t.q.getDate(),n=t.q.getHours(),n+w>=24&&++s,o=new b.Date(t.q.getFullYear(),t.q.getMonth(),s,e+w,t.q.getMinutes()+k,t.q.getSeconds(),t.q.getMilliseconds()),t.q.setTime(o.getTime()))),h=t.q.getTime(),t.q.setTime(h+36e5),t.q.getHours()!=e&&t.q.setTime(h)}function jmn(t,e){var n,r,s,o,h;if(wr(e,"Path-Like Graph Wrapping",1),t.b.c.length==0){or(e);return}if(s=new f5t(t),h=(s.i==null&&(s.i=syt(s,new 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n,r,s,o,h,d;for(h=new h2(new wg(t.f.b).a);h.b;){if(o=Yv(h),s=u(o.cd(),594),e==1){if(s.gf()!=(ao(),Z0)&&s.gf()!=Q0)continue}else if(s.gf()!=(ao(),jh)&&s.gf()!=kf)continue;switch(r=u(u(o.dd(),46).b,81),d=u(u(o.dd(),46).a,189),n=d.c,s.gf().g){case 2:r.g.c=t.e.a,r.g.b=b.Math.max(1,r.g.b+n);break;case 1:r.g.c=r.g.c+n,r.g.b=b.Math.max(1,r.g.b-n);break;case 4:r.g.d=t.e.b,r.g.a=b.Math.max(1,r.g.a+n);break;case 3:r.g.d=r.g.d+n,r.g.a=b.Math.max(1,r.g.a-n)}}}function byn(t,e){var n,r,s,o,h,d,w,k,C,M,F,H,V,Y;for(d=Pt(Tr,Xr,25,e.b.c.length,15,1),k=Pt(elt,ae,267,e.b.c.length,0,1),w=Pt(o0,zg,10,e.b.c.length,0,1),M=t.a,F=0,H=M.length;F0&&w\[r\]&&(V=V3(t.b,w\[r\],s)),Y=b.Math.max(Y,s.c.c.b+V);for(o=new S(C.e);o.a1)throw rt(new Pn(eO));w||(o=Yd(e,r.Kc().Pb()),h.Fc(o))}return yyt(t,$4t(t,e,n),h)}function myn(t,e){var n,r,s,o;for(non(e.b.j),us(pu(new Tn(null,new \_n(e.d,16)),new jX),new $X),o=new S(e.d);o.at.o.b||(n=Yo(t,Hn),d=e.d+e.a+(n.gc()-1)\*h,d>t.o.b)))}function kat(t,e){var n,r,s,o,h,d,w,k,C,M,F,H,V;if(h=t.e,w=e.e,h==0)return e;if(w==0)return t;if(o=t.d,d=e.d,o+d==2)return n=Ps(t.a\[0\],co),r=Ps(e.a\[0\],co),h==w?(C=Oa(n,r),V=Sr(C),H=Sr(zm(C,32)),H==0?new Lg(h,V):new K3(h,2,ct(ot(Tr,1),Xr,25,15,\[V,H\]))):KI(h<0?Yp(r,n):Yp(n,r));if(h==w)F=h,M=o>=d?Rrt(t.a,o,e.a,d):Rrt(e.a,d,t.a,o);else{if(s=o!=d?o>d?1:-1:Pyt(t.a,e.a,o),s==0)return Jp(),QE;s==1?(F=h,M=Frt(t.a,o,e.a,d)):(F=w,M=Frt(e.a,d,t.a,o))}return k=new K3(F,M.length,M),OC(k),k}function Eat(t,e,n,r,s,o,h){var d,w,k,C,M,F,H;return M=je(Re(Q(e,(Te(),rCt)))),F=null,o==(so(),Ju)&&r.c.i==n?F=r.c:o==eu&&r.d.i==n&&(F=r.d),k=h,!k||!M||F?(C=(be(),Zo),F?C=F.j:H3(u(Q(n,os),98))&&(C=o==Ju?Bn:Hn),w=Eyn(t,e,n,o,C,r),d=Nrt((Fa(n),r)),o==Ju?(Da(d,u(Fe(w.j,0),11)),sa(d,s)):(Da(d,s),sa(d,u(Fe(w.j,0),11))),k=new Gre(r,d,w,u(Q(w,(se(),\_i)),11),o,!F)):(ue(k.e,r),H=b.Math.max(Xt(ye(Q(k.d,Ug))),Xt(ye(Q(r,Ug)))),Jt(k.d,Ug,H)),ln(t.a,r,new Tj(k.d,e,o)),k}function Eq(t,e){var n,r,s,o,h,d,w,k,C,M;if(C=null,t.d&&(C=u(Fc(t.d,e),138)),!C){if(o=t.a.Mh(),M=o.i,!t.d||$9(t.d)!=M){for(w=new Cr,t.d&&VC(w,t.d),k=w.f.c+w.g.c,d=k;d0?(H=(V-1)\*n,d&&(H+=r),C&&(H+=r),H=t.b\[s+1\])s+=2;else if(n0)for(r=new Pu(u(Ai(t.a,o),21)),vn(),Xs(r,new Si(e)),s=new ha(o.b,0);s.bYt)?(w=2,h=vi):w==0?(w=1,h=Se):(w=0,h=Se)):(H=Se>=h||h-Se0?1:Lv(isNaN(r),isNaN(0)))>=0^(gf(Ed),(b.Math.abs(d)<=Ed||d==0||isNaN(d)&&isNaN(0)?0:d<0?-1:d>0?1:Lv(isNaN(d),isNaN(0)))>=0)?b.Math.max(d,r):(gf(Ed),(b.Math.abs(r)<=Ed||r==0||isNaN(r)&&isNaN(0)?0:r<0?-1:r>0?1:Lv(isNaN(r),isNaN(0)))>0?b.Math.sqrt(d\*d+r\*r):-b.Math.sqrt(d\*d+r\*r))}function m2(t,e){var n,r,s,o,h,d;if(e){if(!t.a&&(t.a=new fR),t.e==2){hR(t.a,e);return}if(e.e==1){for(s=0;s=Ya?fo(n,r3t(r)):m8(n,r&ms),h=new hrt(10,null,0),len(t.a,h,d-1)):(n=(h.bm().length+o,new B9),fo(n,h.bm())),e.e==0?(r=e.\_l(),r>=Ya?fo(n,r3t(r)):m8(n,r&ms)):fo(n,e.bm()),u(h,521).b=n.a}}function Ole(t){var e,n,r,s,o;return t.g!=null?t.g:t.a<32?(t.g=K4n(ku(t.f),ps(t.e)),t.g):(s=Dat((!t.c&&(t.c=jI(t.f)),t.c),0),t.e==0?s:(e=(!t.c&&(t.c=jI(t.f)),t.c).e<0?2:1,n=s.length,r=-t.e+n-e,o=new \_p,o.a+=""+s,t.e>0&&r>=-6?r>=0?iI(o,n-ps(t.e),String.fromCharCode(46)):(o.a=Dl(o.a,0,e-1)+"0."+OM(o.a,e-1),iI(o,e+1,Ah(D2,0,-ps(r)-1))):(n-e>=1&&(iI(o,e,String.fromCharCode(46)),++n),iI(o,n,String.fromCharCode(69)),r>0&&iI(o,++n,String.fromCharCode(43)),iI(o,++n,""+EC(ku(r)))),t.g=o.a,t.g))}function Fyn(t,e,n){var r,s,o,h,d,w,k,C,M,F,H,V,Y,tt;if(!n.dc()){for(d=0,F=0,r=n.Kc(),V=u(r.Pb(),19).a;d1&&(w=k.mg(w,t.a,d));return w.c.length==1?u(Fe(w,w.c.length-1),220):w.c.length==2?Cyn((An(0,w.c.length),u(w.c\[0\],220)),(An(1,w.c.length),u(w.c\[1\],220)),h,o):null}function Nle(t){var e,n,r,s,o,h;for(mu(t.a,new xi),n=new S(t.a);n.a=b.Math.abs(r.b)?(r.b=0,o.d+o.a>h.d&&o.dh.c&&o.c0){if(e=new Ybt(t.i,t.g),n=t.i,o=n<100?null:new Sp(n),t.ij())for(r=0;r0){for(d=t.g,k=t.i,RC(t),o=k<100?null:new Sp(k),r=0;r>13|(t.m&15)<<9,s=t.m>>4&8191,o=t.m>>17|(t.h&255)<<5,h=(t.h&1048320)>>8,d=e.l&8191,w=e.l>>13|(e.m&15)<<9,k=e.m>>4&8191,C=e.m>>17|(e.h&255)<<5,M=(e.h&1048320)>>8,We=n\*d,Qe=r\*d,Rn=s\*d,zn=o\*d,hr=h\*d,w!=0&&(Qe+=n\*w,Rn+=r\*w,zn+=s\*w,hr+=o\*w),k!=0&&(Rn+=n\*k,zn+=r\*k,hr+=s\*k),C!=0&&(zn+=n\*C,hr+=r\*C),M!=0&&(hr+=n\*M),H=We&ul,V=(Qe&511)<<13,F=H+V,tt=We>>22,gt=Qe>>9,Lt=(Rn&262143)<<4,\_t=(zn&31)<<17,Y=tt+gt+Lt+\_t,Yt=Rn>>18,ce=zn>>5,Se=(hr&4095)<<8,Bt=Yt+ce+Se,Y+=F>>22,F&=ul,Bt+=Y>>22,Y&=ul,Bt&=W0,ru(F,Y,Bt)}function Ple(t){var e,n,r,s,o,h,d;if(d=u(Fe(t.j,0),11),d.g.c.length!=0&&d.e.c.length!=0)throw rt(new Fo("Interactive layout does not support NORTH/SOUTH ports with incoming \_and\_ outgoing edges."));if(d.g.c.length!=0){for(o=ss,n=new S(d.g);n.a4)if(t.wj(e)){if(t.rk()){if(s=u(e,49),r=s.Ug(),w=r==t.e&&(t.Dk()?s.Og(s.Vg(),t.zk())==t.Ak():-1-s.Vg()==t.aj()),t.Ek()&&!w&&!r&&s.Zg()){for(o=0;o0&&(k=t.n.a/o);break;case 2:case 4:s=t.i.o.b,s>0&&(k=t.n.b/s)}Jt(t,(se(),Dw),k)}if(w=t.o,h=t.a,r)h.a=r.a,h.b=r.b,t.d=!0;else if(e!=H1&&e!=yb&&d!=Zo)switch(d.g){case 1:h.a=w.a/2;break;case 2:h.a=w.a,h.b=w.b/2;break;case 3:h.a=w.a/2,h.b=w.b;break;case 4:h.b=w.b/2}else h.a=w.a/2,h.b=w.b/2}function C\_(t){var e,n,r,s,o,h,d,w,k,C;if(t.ej())if(C=t.Vi(),w=t.fj(),C>0)if(e=new oyt(t.Gi()),n=C,o=n<100?null:new Sp(n),jM(t,n,e.g),s=n==1?t.Zi(4,St(e,0),null,0,w):t.Zi(6,e,null,-1,w),t.bj()){for(r=new er(e);r.e!=r.i.gc();)o=t.dj(dr(r),o);o?(o.Ei(s),o.Fi()):t.$i(s)}else o?(o.Ei(s),o.Fi()):t.$i(s);else jM(t,t.Vi(),t.Wi()),t.$i(t.Zi(6,(vn(),io),null,-1,w));else if(t.bj())if(C=t.Vi(),C>0){for(d=t.Wi(),k=C,jM(t,C,d),o=k<100?null:new Sp(k),r=0;rt.d\[h.p\]&&(n+=smt(t.b,o)\*u(w.b,19).a,qp(t.a,de(o)));for(;!N9(t.a);)Fmt(t.b,u(Fx(t.a),19).a)}return n}function Kyn(t,e,n,r){var s,o,h,d,w,k,C,M,F,H,V,Y,tt;for(M=new yo(u(qe(t,(eq(),\_St)),8)),M.a=b.Math.max(M.a-n.b-n.c,0),M.b=b.Math.max(M.b-n.d-n.a,0),s=ye(qe(t,ESt)),(s==null||(On(s),s<=0))&&(s=1.3),d=new le,V=new er((!t.a&&(t.a=new he(ns,t,10,11)),t.a));V.e!=V.i.gc();)H=u(dr(V),33),h=new fWt(H),d.c\[d.c.length\]=h;switch(F=u(qe(t,Jht),311),F.g){case 3:tt=bmn(d,e,M.a,M.b,(k=r,On(s),k));break;case 1:tt=qmn(d,e,M.a,M.b,(C=r,On(s),C));break;default:tt=Qyn(d,e,M.a,M.b,(w=r,On(s),w))}o=new U$(tt),Y=Mat(o,e,n,M.a,M.b,r,(On(s),s)),gw(t,Y.a,Y.b,!1,!0)}function Yyn(t,e){var n,r,s,o;n=e.b,o=new Pu(n.j),s=0,r=n.j,r.c=Pt(Xn,Ie,1,0,5,1),Bv(u(o2(t.b,(be(),Nn),(Jv(),Aw)),15),n),s=QI(o,s,new AX,r),Bv(u(o2(t.b,Nn,hb),15),n),s=QI(o,s,new zT,r),Bv(u(o2(t.b,Nn,Sw),15),n),Bv(u(o2(t.b,Hn,Aw),15),n),Bv(u(o2(t.b,Hn,hb),15),n),s=QI(o,s,new EF,r),Bv(u(o2(t.b,Hn,Sw),15),n),Bv(u(o2(t.b,mr,Aw),15),n),s=QI(o,s,new TF,r),Bv(u(o2(t.b,mr,hb),15),n),s=QI(o,s,new CF,r),Bv(u(o2(t.b,mr,Sw),15),n),Bv(u(o2(t.b,Bn,Aw),15),n),s=QI(o,s,new 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n,r,s,o,h,d,w,k,C,M,F,H;if(n=u(go(t.b,e),124),w=u(u(Ai(t.r,e),21),84),w.dc()){n.n.d=0,n.n.a=0;return}for(k=t.u.Hc((Qu(),tg)),h=0,t.A.Hc((\_l(),V2))&&yue(t,e),d=w.Kc(),C=null,F=0,M=0;d.Ob();)r=u(d.Pb(),111),o=Xt(ye(r.b.We((gj(),ZH)))),s=r.b.rf().b,C?(H=M+C.d.a+t.w+r.d.d,h=b.Math.max(h,(y1(),gf(P1),b.Math.abs(F-o)<=P1||F==o||isNaN(F)&&isNaN(o)?0:H/(o-F)))):t.C&&t.C.d>0&&(h=b.Math.max(h,dne(t.C.d+r.d.d,o))),C=r,F=o,M=s;t.C&&t.C.a>0&&(H=M+t.C.a,k&&(H+=C.d.a),h=b.Math.max(h,(y1(),gf(P1),b.Math.abs(F-1)<=P1||F==1||isNaN(F)&&isNaN(1)?0:H/(1-F)))),n.n.d=0,n.a.b=h}function qle(t,e,n){var r,s,o,h,d,w;for(this.g=t,d=e.d.length,w=n.d.length,this.d=Pt(o0,zg,10,d+w,0,1),h=0;h0?Jrt(this,this.f/this.a):x1(e.g,e.d\[0\]).a!=null&&x1(n.g,n.d\[0\]).a!=null?Jrt(this,(Xt(x1(e.g,e.d\[0\]).a)+Xt(x1(n.g,n.d\[0\]).a))/2):x1(e.g,e.d\[0\]).a!=null?Jrt(this,x1(e.g,e.d\[0\]).a):x1(n.g,n.d\[0\]).a!=null&&Jrt(this,x1(n.g,n.d\[0\]).a)}function w3n(t,e){var n,r,s,o,h,d,w,k,C,M;for(t.a=new XYt(Won(WS)),r=new 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e,n,r,s,o,h,d,w,k,C,M,F,H,V;if(H=ts(Mo(u(St((!t.b&&(t.b=new Cn(br,t,4,7)),t.b),0),82))),V=ts(Mo(u(St((!t.c&&(t.c=new Cn(br,t,5,8)),t.c),0),82))),M=H==V,d=new Ta,e=u(qe(t,(bz(),mAt)),74),e&&e.b>=2){if((!t.a&&(t.a=new he(Zi,t,6,6)),t.a).i==0)n=(Tv(),s=new rd,s),Mr((!t.a&&(t.a=new he(Zi,t,6,6)),t.a),n);else if((!t.a&&(t.a=new he(Zi,t,6,6)),t.a).i>1)for(F=new Lx((!t.a&&(t.a=new he(Zi,t,6,6)),t.a));F.e!=F.i.gc();)u\_(F);yD(e,u(St((!t.a&&(t.a=new he(Zi,t,6,6)),t.a),0),202))}if(M)for(r=new er((!t.a&&(t.a=new he(Zi,t,6,6)),t.a));r.e!=r.i.gc();)for(n=u(dr(r),202),k=new er((!n.a&&(n.a=new Ss(Hh,n,5)),n.a));k.e!=k.i.gc();)w=u(dr(k),469),d.a=b.Math.max(d.a,w.a),d.b=b.Math.max(d.b,w.b);for(h=new er((!t.n&&(t.n=new he(qo,t,1,7)),t.n));h.e!=h.i.gc();)o=u(dr(h),137),C=u(qe(o,KS),8),C&&m1(o,C.a,C.b),M&&(d.a=b.Math.max(d.a,o.i+o.g),d.b=b.Math.max(d.b,o.j+o.f));return d}function X4n(t,e,n){var r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt,Yt,ce,Se,We;for(\_t=e.c.length,s=new x4(t.a,n,null,null),We=Pt(ia,vo,25,\_t,15,1),Y=Pt(ia,vo,25,\_t,15,1),V=Pt(ia,vo,25,\_t,15,1),tt=0,d=0;d<\_t;d++)Y\[d\]=vi,V\[d\]=\_a;for(w=0;w<\_t;w++)for(r=(An(w,e.c.length),u(e.c\[w\],180)),We\[w\]=Wst(r),We\[tt\]>We\[w\]&&(tt=w),M=new S(t.a.b);M.aH&&(o&&(Kb(ce,F),Kb(We,de(k.b-1))),pi=n.b,Rs+=F+e,F=0,C=b.Math.max(C,n.b+n.c+hr)),yu(d,pi),xu(d,Rs),C=b.Math.max(C,pi+hr+n.c),F=b.Math.max(F,M),pi+=hr+e;if(C=b.Math.max(C,r),zn=Rs+F+n.a,znyd,Qe=b.Math.abs(F.b-V.b)>yd,(!n&&We&&Qe||n&&(We||Qe))&&ni(tt.a,Bt)),Ua(tt.a,r),r.b==0?F=Bt:F=(Qn(r.b!=0),u(r.c.b.c,8)),gcn(H,M,Y),fne(s)==Se&&(Fa(Se.i)!=s.a&&(Y=new Ta,z4t(Y,Fa(Se.i),Lt)),Jt(tt,$lt,Y)),R0n(H,tt,Lt),C.a.zc(H,C);Da(tt,Yt),sa(tt,Se)}for(k=C.a.ec().Kc();k.Ob();)w=u(k.Pb(),17),Da(w,null),sa(w,null);or(e)}function The(t){var e,n,r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt;if(t.gc()==1)return u(t.Xb(0),231);if(t.gc()<=0)return new \_$;for(s=t.Kc();s.Ob();){for(n=u(s.Pb(),231),V=0,C=vi,M=vi,w=\_a,k=\_a,H=new S(n.e);H.ad&&(\_t=0,Bt+=h+gt,h=0),Fwn(Y,n,\_t,Bt),e=b.Math.max(e,\_t+tt.a),h=b.Math.max(h,tt.b),\_t+=tt.a+gt;return Y}function Che(t,e){var n,r,s,o,h,d,w,k,C,M,F,H,V;switch(C=new Du,t.a.g){case 3:F=u(Q(e.e,(se(),N2)),15),H=u(Q(e.j,N2),15),V=u(Q(e.f,N2),15),n=u(Q(e.e,X4),15),r=u(Q(e.j,X4),15),s=u(Q(e.f,X4),15),h=new le,As(h,F),H.Jc(new QX),As(h,Et(H,152)?Vx(u(H,152)):Et(H,131)?u(H,131).a:Et(H,54)?new mv(H):new Mm(H)),As(h,V),o=new le,As(o,n),As(o,Et(r,152)?Vx(u(r,152)):Et(r,131)?u(r,131).a:Et(r,54)?new mv(r):new Mm(r)),As(o,s),Jt(e.f,N2,h),Jt(e.f,X4,o),Jt(e.f,i9t,e.f),Jt(e.e,N2,null),Jt(e.e,X4,null),Jt(e.j,N2,null),Jt(e.j,X4,null);break;case 1:Ua(C,e.e.a),ni(C,e.i.n),Ua(C,a2(e.j.a)),ni(C,e.a.n),Ua(C,e.f.a);break;default:Ua(C,e.e.a),Ua(C,a2(e.j.a)),Ua(C,e.f.a)}\_h(e.f.a),Ua(e.f.a,C),Da(e.f,e.e.c),d=u(Q(e.e,(Te(),\_o)),74),k=u(Q(e.j,\_o),74),w=u(Q(e.f,\_o),74),(d||k||w)&&(M=new Du,lwt(M,w),lwt(M,k),lwt(M,d),Jt(e.f,\_o,M)),Da(e.j,null),sa(e.j,null),Da(e.e,null),sa(e.e,null),ko(e.a,null),ko(e.i,null),e.g&&Che(t,e.g)}function t5n(t){ext();var e,n,r,s,o,h,d,w,k,C,M,F,H,V,Y,tt;if(t==null||(o=R$(t),V=zun(o),V%4!=0))return null;if(Y=V/4|0,Y==0)return Pt(Hu,N4,25,0,15,1);for(M=null,e=0,n=0,r=0,s=0,h=0,d=0,w=0,k=0,H=0,F=0,C=0,M=Pt(Hu,N4,25,Y\*3,15,1);H>4)<<24>>24,M\[F++\]=((n&15)<<4|r>>2&15)<<24>>24,M\[F++\]=(r<<6|s)<<24>>24}return!dM(h=o\[C++\])||!dM(d=o\[C++\])?null:(e=U1\[h\],n=U1\[d\],w=o\[C++\],k=o\[C++\],U1\[w\]==-1||U1\[k\]==-1?w==61&&k==61?n&15?null:(tt=Pt(Hu,N4,25,H\*3+1,15,1),Ic(M,0,tt,0,H\*3),tt\[F\]=(e<<2|n>>4)<<24>>24,tt):w!=61&&k==61?(r=U1\[w\],r&3?null:(tt=Pt(Hu,N4,25,H\*3+2,15,1),Ic(M,0,tt,0,H\*3),tt\[F++\]=(e<<2|n>>4)<<24>>24,tt\[F\]=((n&15)<<4|r>>2&15)<<24>>24,tt)):null:(r=U1\[w\],s=U1\[k\],M\[F++\]=(e<<2|n>>4)<<24>>24,M\[F++\]=((n&15)<<4|r>>2&15)<<24>>24,M\[F++\]=(r<<6|s)<<24>>24,M))}function e5n(t,e){var n,r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt,Yt;for(wr(e,l1e,1),V=u(Q(t,(Te(),X0)),218),s=new S(t.b);s.a=2){for(Y=!0,F=new S(o.j),n=u(J(F),11),H=null;F.a0&&(s=u(Fe(tt.c.a,ce-1),10),h=t.i\[s.p\],We=b.Math.ceil(V3(t.n,s,tt)),o=Yt.a.e-tt.d.d-(h.a.e+s.o.b+s.d.a)-We),k=ss,ce0&&Se.a.e.e-Se.a.a-(Se.b.e.e-Se.b.a)<0,V=\_t.a.e.e-\_t.a.a-(\_t.b.e.e-\_t.b.a)<0&&Se.a.e.e-Se.a.a-(Se.b.e.e-Se.b.a)>0,H=\_t.a.e.e+\_t.b.aSe.b.e.e+Se.a.a,Bt=0,!Y&&!V&&(F?o+M>0?Bt=M:k-r>0&&(Bt=r):H&&(o+d>0?Bt=d:k-Lt>0&&(Bt=Lt))),Yt.a.e+=Bt,Yt.b&&(Yt.d.e+=Bt),!1))}function She(t,e,n){var r,s,o,h,d,w,k,C,M,F;if(r=new ih(e.qf().a,e.qf().b,e.rf().a,e.rf().b),s=new Ax,t.c)for(h=new S(e.wf());h.ak&&(r.a+=DUt(Pt(mh,vd,25,-k,15,1))),r.a+="Is",cd(w,Eu(32))>=0)for(s=0;s=r.o.b/2}else Lt=!M;Lt?(gt=u(Q(r,(se(),N6)),15),gt?F?o=gt:(s=u(Q(r,L6),15),s?gt.gc()<=s.gc()?o=gt:o=s:(o=new le,Jt(r,L6,o))):(o=new le,Jt(r,N6,o))):(s=u(Q(r,(se(),L6)),15),s?M?o=s:(gt=u(Q(r,N6),15),gt?s.gc()<=gt.gc()?o=s:o=gt:(o=new le,Jt(r,N6,o))):(o=new 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Pre-Processing",1),s4n(t),or(h)),efn(t.f),o=u(Q(e,SS),19).a\*t.f.a.c.length,cat(Jpt(tbt(mnt(t.f),o),!1),Rc(n,1)),t.d.a.gc()!=0){for(h=Rc(n,1),wr(h,"Flexible Where Space Processing",1),d=u(Ov(Hj(pu(new Tn(null,new \_n(t.f.a,16)),new dQ),new aQ)),19).a,w=u(Ov(qj(pu(new Tn(null,new \_n(t.f.a,16)),new gQ),new oQ)),19).a,k=w-d,C=Dv(new Ub,t.f),M=Dv(new Ub,t.f),vf(of(af(sf(cf(new Eh,2e4),k),C),M)),us(Ri(Ri($nt(t.i),new pQ),new bQ),new kXt(d,C,k,M)),s=t.d.a.ec().Kc();s.Ob();)r=u(s.Pb(),213),r.g=1;cat(Jpt(tbt(mnt(t.f),o),!1),Rc(h,1)),or(h)}je(Re(Q(e,TS)))&&(h=Rc(n,1),wr(h,"Straight Edges Post-Processing",1),lgn(t),or(h)),H3n(t),t.e=null,t.f=null,t.i=null,t.c=null,Yu(t.k),t.j=null,t.a=null,t.o=null,t.d.a.$b(),or(n)}function T5n(t,e,n){var r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt,Yt;for(d=new S(t.a.b);d.a0)if(r=M.gc(),k=ps(b.Math.floor((r+1)/2))-1,s=ps(b.Math.ceil((r+1)/2))-1,e.o==z1)for(C=s;C>=k;C--)e.a\[Bt.p\]==Bt&&(Y=u(M.Xb(C),46),V=u(Y.a,10),!S0(n,Y.b)&&H>t.b.e\[V.p\]&&(e.a\[V.p\]=Bt,e.g\[Bt.p\]=e.g\[V.p\],e.a\[Bt.p\]=e.g\[Bt.p\],e.f\[e.g\[Bt.p\].p\]=(Fn(),!!(je(e.f\[e.g\[Bt.p\].p\])&Bt.k==(Gn(),Zs))),H=t.b.e\[V.p\]));else for(C=k;C<=s;C++)e.a\[Bt.p\]==Bt&&(gt=u(M.Xb(C),46),tt=u(gt.a,10),!S0(n,gt.b)&&H=V&&(Lt>V&&(H.c=Pt(Xn,Ie,1,0,5,1),V=Lt),H.c\[H.c.length\]=h);H.c.length!=0&&(F=u(Fe(H,zz(e,H.c.length)),128),zn.a.Bc(F)!=null,F.s=Y++,x5t(F,Qe,ce),H.c=Pt(Xn,Ie,1,0,5,1))}for(Bt=t.c.length+1,d=new S(t);d.aRn.s&&(El(n),vu(Rn.i,r),r.c>0&&(r.a=Rn,ue(Rn.t,r),r.b=Se,ue(Se.i,r)))}function Cxt(t){var e,n,r,s,o;switch(e=t.c,e){case 11:return t.Ml();case 12:return t.Ol();case 14:return t.Ql();case 15:return t.Tl();case 16:return t.Rl();case 17:return t.Ul();case 21:return fi(t),gi(),gi(),fA;case 10:switch(t.a){case 65:return t.yl();case 90:return t.Dl();case 122:return t.Kl();case 98:return t.El();case 66:return t.zl();case 60:return t.Jl();case 62:return t.Hl()}}switch(o=m5n(t),e=t.c,e){case 3:return t.Zl(o);case 4:return t.Xl(o);case 5:return t.Yl(o);case 0:if(t.a==123&&t.d=48&&e<=57){for(r=e-48;s=48&&e<=57;)if(r=r\*10+e-48,r<0)throw rt(new Fr(qr((Nr(),L8t))))}else throw rt(new Fr(qr((Nr(),e0e))));if(n=r,e==44){if(s>=t.j)throw rt(new Fr(qr((Nr(),r0e))));if((e=ba(t.i,s++))>=48&&e<=57){for(n=e-48;s=48&&e<=57;)if(n=n\*10+e-48,n<0)throw rt(new Fr(qr((Nr(),L8t))));if(r>n)throw rt(new Fr(qr((Nr(),i0e))))}else n=-1}if(e!=125)throw rt(new Fr(qr((Nr(),n0e))));t.sl(s)?(o=(gi(),gi(),new Wm(9,o)),t.d=s+1):(o=(gi(),gi(),new Wm(3,o)),t.d=s),o.dm(r),o.cm(n),fi(t)}}return o}function Ohe(t,e,n,r,s){var o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt,Yt,ce,Se,We,Qe,Rn,zn;for(Y=new Yc(e.b),Bt=new Yc(e.b),F=new Yc(e.b),We=new Yc(e.b),tt=new Yc(e.b),Se=ei(e,0);Se.b!=Se.d.c;)for(Yt=u(ti(Se),11),d=new S(Yt.g);d.a0,gt=Yt.g.c.length>0,k&>?F.c\[F.c.length\]=Yt:k?Y.c\[Y.c.length\]=Yt:gt&&(Bt.c\[Bt.c.length\]=Yt);for(V=new S(Y);V.a1)for(V=new Lx((!t.a&&(t.a=new he(Zi,t,6,6)),t.a));V.e!=V.i.gc();)u\_(V);for(h=u(St((!t.a&&(t.a=new he(Zi,t,6,6)),t.a),0),202),tt=pi,pi>Yt+Bt?tt=Yt+Bt:pice+Y?gt=ce+Y:RsYt-Bt&&ttce-Y&>pi+hr?We=pi+hr:YtRs+Se?Qe=Rs+Se:cepi-hr&&WeRs-Se&&Qen&&(F=n-1),H=bN+ol(e,24)\*PD\*M-M/2,H<0?H=1:H>r&&(H=r-1),s=(Tv(),w=new vp,w),W$(s,F),K$(s,H),Mr((!h.a&&(h.a=new Ss(Hh,h,5)),h.a),s)}function Te(){Te=Z,Jlt=(ci(),Z3e),dCt=J3e,AO=iAt,xf=t4e,B6=sAt,Fw=e4e,Gy=aAt,m7=oAt,y7=cAt,tht=qV,Bw=H2,eht=n4e,\_S=hAt,sV=q6,SO=(Axt(),Yve),Q4=Xve,R2=Qve,Z4=Zve,Pwe=new eo(zV,de(0)),w7=Uve,fCt=Wve,F6=Kve,xCt=ywe,gCt=ewe,pCt=iwe,rht=hwe,bCt=owe,vCt=uwe,aV=Twe,iht=xwe,mCt=bwe,wCt=gwe,yCt=wwe,Nw=$ve,CS=zve,Klt=ive,G9t=ave,oCt=new Mv(12),aCt=new eo(q2,oCt),z9t=(q0(),A7),X0=new eo(NSt,z9t),zy=new eo(hl,0),Fwe=new eo(fft,de(1)),UG=new eo($6,BE),B2=$V,os=US,v7=o5,Awe=UO,Ld=H3e,jy=r5,Bwe=new eo(dft,(Fn(),!0)),$y=WO,P2=sft,F2=z2,iV=vb,Zlt=jV,$9t=(ao(),c0),Vl=new eo(jw,$9t),Ow=s5,nV=HSt,qy=Ky,Nwe=hft,lCt=nAt,uCt=(c4(),JO),new eo(QSt,uCt),Iwe=oft,Dwe=cft,Owe=uft,Mwe=aft,nht=twe,eCt=Ave,Xlt=Sve,SS=Jve,cu=yve,Ry=X2e,ES=Y2e,By=F2e,B9t=B2e,Glt=z2e,\_O=R2e,Vlt=W2e,nCt=Lve,rCt=Mve,X9t=gve,rV=Gve,Qlt=Ove,Ylt=uve,sCt=Rve,H9t=nve,Wlt=rve,Hlt=BV,iCt=Ive,KG=L2e,N9t=A2e,WG=S2e,W9t=fve,U9t=hve,K9t=dve,p7=a5,\_o=i5,Ug=FSt,Md=ift,Ult=rft,R9t=H2e,Wg=lft,kS=U3e,JG=W3e,Pw=JSt,cCt=K3e,b7=Y3e,Z9t=kve,J9t=Tve,Hy=z6,zlt=\_2e,tCt=\_ve,ZG=J2e,QG=Z2e,eV=KO,Q9t=vve,TS=Pve,LO=uAt,j9t=Q2e,hCt=Vve,q9t=tve,Lwe=mve,Swe=V2e,Y9t=$St,tV=xve,XG=U2e,db=P2e,F9t=O2e,YG=I2e,P9t=D2e,qlt=N2e,P6=M2e,V9t=lve}function Dat(t,e){wat();var n,r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt,Yt,ce,Se,We,Qe,Rn,zn,hr,pi;if(We=t.e,V=t.d,s=t.a,We==0)switch(e){case 0:return"0";case 1:return DE;case 2:return"0.00";case 3:return"0.000";case 4:return"0.0000";case 5:return"0.00000";case 6:return"0.000000";default:return ce=new \_p,e<0?ce.a+="0E+":ce.a+="0E",ce.a+=-e,ce.a}if(\_t=V\*10+1+7,Bt=Pt(mh,vd,25,\_t+1,15,1),n=\_t,V==1)if(d=s\[0\],d<0){pi=Ps(d,co);do Y=pi,pi=eD(pi,10),Bt\[--n\]=48+Sr(Yp(Y,Ca(pi,10)))&ms;while(yc(pi,0)!=0)}else{pi=d;do Y=pi,pi=pi/10|0,Bt\[--n\]=48+(Y-pi\*10)&ms;while(pi!=0)}else{Rn=Pt(Tr,Xr,25,V,15,1),hr=V,Ic(s,0,Rn,0,hr);t:for(;;){for(Se=0,k=hr-1;k>=0;k--)zn=Oa(M0(Se,32),Ps(Rn\[k\],co)),gt=Pdn(zn),Rn\[k\]=Sr(gt),Se=Sr(Fp(gt,32));Lt=Sr(Se),tt=n;do Bt\[--n\]=48+Lt%10&ms;while((Lt=Lt/10|0)!=0&&n!=0);for(r=9-tt+n,w=0;w0;w++)Bt\[--n\]=48;for(M=hr-1;Rn\[M\]==0;M--)if(M==0)break t;hr=M+1}for(;Bt\[n\]==48;)++n}if(H=We<0,h=\_t-n-e-1,e==0)return H&&(Bt\[--n\]=45),Ah(Bt,n,\_t-n);if(e>0&&h>=-6){if(h>=0){for(C=n+h,F=\_t-1;F>=C;F--)Bt\[F+1\]=Bt\[F\];return Bt\[++C\]=46,H&&(Bt\[--n\]=45),Ah(Bt,n,\_t-n+1)}for(M=2;M<-h+1;M++)Bt\[--n\]=48;return Bt\[--n\]=46,Bt\[--n\]=48,H&&(Bt\[--n\]=45),Ah(Bt,n,\_t-n)}return Qe=n+1,o=\_t,Yt=new Lm,H&&(Yt.a+="-"),o-Qe>=1?(Rp(Yt,Bt\[n\]),Yt.a+=".",Yt.a+=Ah(Bt,n+1,\_t-n-1)):Yt.a+=Ah(Bt,n,\_t-n),Yt.a+="E",h>0&&(Yt.a+="+"),Yt.a+=""+h,Yt.a}function Fhe(t,e){var n,r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt,Yt,ce;switch(t.c=e,t.g=new Cr,n=(Im(),new Sm(t.c)),r=new tr(n),c3t(r),\_t=Br(qe(t.c,(rD(),rSt))),w=u(qe(t.c,Kht),316),Yt=u(qe(t.c,Yht),429),h=u(qe(t.c,tSt),482),Bt=u(qe(t.c,Wht),430),t.j=Xt(ye(qe(t.c,d3e))),d=t.a,w.g){case 0:d=t.a;break;case 1:d=t.b;break;case 2:d=t.i;break;case 3:d=t.e;break;case 4:d=t.f;break;default:throw rt(new Pn(pH+(w.f!=null?w.f:""+w.g)))}if(t.d=new aQt(d,Yt,h),Jt(t.d,(G8(),uS),Re(qe(t.c,h3e))),t.d.c=je(Re(qe(t.c,eSt))),i$(t.c).i==0)return t.d;for(M=new er(i$(t.c));M.e!=M.i.gc();){for(C=u(dr(M),33),H=C.g/2,F=C.f/2,ce=new $e(C.i+H,C.j+F);kl(t.g,ce);)Fm(ce,(b.Math.random()-.5)\*yd,(b.Math.random()-.5)\*yd);Y=u(qe(C,(ci(),KO)),142),tt=new EQt(ce,new ih(ce.a-H-t.j/2-Y.b,ce.b-F-t.j/2-Y.d,C.g+t.j+(Y.b+Y.c),C.f+t.j+(Y.d+Y.a))),ue(t.d.i,tt),ki(t.g,ce,new la(tt,C))}switch(Bt.g){case 0:if(\_t==null)t.d.d=u(Fe(t.d.i,0),65);else for(Lt=new S(t.d.i);Lt.a1&&hs(C,gt,C.c.b,C.c),H$(s)));gt=Lt}return C}function I5n(t,e,n){var r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt,Yt,ce,Se,We,Qe,Rn,zn,hr,pi,Rs,Xl,Kh,W1;for(wr(n,"Greedy cycle removal",1),\_t=e.a,W1=\_t.c.length,t.a=Pt(Tr,Xr,25,W1,15,1),t.c=Pt(Tr,Xr,25,W1,15,1),t.b=Pt(Tr,Xr,25,W1,15,1),k=0,gt=new S(\_t);gt.a0?hr+1:1);for(h=new S(ce.g);h.a0?hr+1:1)}t.c\[k\]==0?ni(t.e,Y):t.a\[k\]==0&&ni(t.f,Y),++k}for(V=-1,H=1,M=new le,t.d=u(Q(e,(se(),O6)),230);W1>0;){for(;t.e.b!=0;)Rs=u(knt(t.e),10),t.b\[Rs.p\]=V--,K5t(t,Rs),--W1;for(;t.f.b!=0;)Xl=u(knt(t.f),10),t.b\[Xl.p\]=H++,K5t(t,Xl),--W1;if(W1>0){for(F=\_a,Lt=new S(\_t);Lt.a=F&&(Bt>F&&(M.c=Pt(Xn,Ie,1,0,5,1),F=Bt),M.c\[M.c.length\]=Y));C=t.Zf(M),t.b\[C.p\]=H++,K5t(t,C),--W1}}for(pi=\_t.c.length+1,k=0;k<\_t.c.length;k++)t.b\[k\]<0&&(t.b\[k\]+=pi);for(tt=new S(\_t);tt.at.b\[Kh\]&&(dw(r,!0),Jt(e,xO,(Fn(),!0)));t.a=null,t.c=null,t.b=null,\_h(t.f),\_h(t.e),or(n)}function Rhe(t,e){var n,r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt;for(r=new le,d=new le,tt=e/2,H=t.gc(),s=u(t.Xb(0),8),gt=u(t.Xb(1),8),V=Ust(s.a,s.b,gt.a,gt.b,tt),ue(r,(An(0,V.c.length),u(V.c\[0\],8))),ue(d,(An(1,V.c.length),u(V.c\[1\],8))),k=2;k=0;w--)ni(n,(An(w,h.c.length),u(h.c\[w\],8)));return n}function D5n(t){var e,n,r,s,o,h,d,w,k,C,M,F,H;if(h=!0,M=null,r=null,s=null,e=!1,H=G4e,k=null,o=null,d=0,w=Zit(t,d,YAt,XAt),w=0&&hn(t.substr(d,2),"//")?(d+=2,w=Zit(t,d,iA,sA),r=t.substr(d,w-d),d=w):M!=null&&(d==t.length||(Rr(d,t.length),t.charCodeAt(d)!=47))&&(h=!1,w=\_2t(t,Eu(35),d),w==-1&&(w=t.length),r=t.substr(d,w-d),d=w);if(!n&&d0&&ba(C,C.length-1)==58&&(s=C,d=w)),d=t.j){t.a=-1,t.c=1;return}if(e=ba(t.i,t.d++),t.a=e,t.b==1){switch(e){case 92:if(r=10,t.d>=t.j)throw rt(new Fr(qr((Nr(),kH))));t.a=ba(t.i,t.d++);break;case 45:(t.e&512)==512&&t.d=t.j||ba(t.i,t.d)!=63)break;if(++t.d>=t.j)throw rt(new Fr(qr((Nr(),Xct))));switch(e=ba(t.i,t.d++),e){case 58:r=13;break;case 61:r=14;break;case 33:r=15;break;case 91:r=19;break;case 62:r=18;break;case 60:if(t.d>=t.j)throw rt(new Fr(qr((Nr(),Xct))));if(e=ba(t.i,t.d++),e==61)r=16;else if(e==33)r=17;else throw rt(new Fr(qr((Nr(),Bde))));break;case 35:for(;t.d=t.j)throw rt(new Fr(qr((Nr(),kH))));t.a=ba(t.i,t.d++);break;default:r=0}t.c=r}function N5n(t){var e,n,r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt,Yt,ce,Se,We,Qe,Rn,zn,hr;if(Se=u(Q(t,(Te(),os)),98),Se!=(oa(),H1)&&Se!=yb){for(V=t.b,H=V.c.length,C=new Yc((Bl(H+2,Bat),q$(Oa(Oa(5,H+2),(H+2)/10|0)))),Y=new Yc((Bl(H+2,Bat),q$(Oa(Oa(5,H+2),(H+2)/10|0)))),ue(C,new Cr),ue(C,new Cr),ue(Y,new le),ue(Y,new le),ce=new le,e=0;e=Yt||!ehn(gt,r))&&(r=OQt(e,C)),ko(gt,r),o=new ar(lr(jo(gt).a.Kc(),new z));zr(o);)s=u(Lr(o),17),!t.a\[s.p\]&&(Y=s.c.i,--t.e\[Y.p\],t.e\[Y.p\]==0&&M8(dE(H,Y)));for(k=C.c.length-1;k>=0;--k)ue(e.b,(An(k,C.c.length),u(C.c\[k\],29)));e.a.c=Pt(Xn,Ie,1,0,5,1),or(n)}function jhe(t){var e,n,r,s,o,h,d,w,k;for(t.b=1,fi(t),e=null,t.c==0&&t.a==94?(fi(t),e=(gi(),gi(),new Nl(4)),jc(e,0,WE),d=new Nl(4)):d=(gi(),gi(),new Nl(4)),s=!0;(k=t.c)!=1;){if(k==0&&t.a==93&&!s){e&&(\_\_(e,d),d=e);break}if(n=t.a,r=!1,k==10)switch(n){case 100:case 68:case 119:case 87:case 115:case 83:vy(d,kE(n)),r=!0;break;case 105:case 73:case 99:case 67:n=(vy(d,kE(n)),-1),n<0&&(r=!0);break;case 112:case 80:if(w=n5t(t,n),!w)throw rt(new Fr(qr((Nr(),Qct))));vy(d,w),r=!0;break;default:n=F5t(t)}else if(k==24&&!s){if(e&&(\_\_(e,d),d=e),o=jhe(t),\_\_(d,o),t.c!=0||t.a!=93)throw rt(new Fr(qr((Nr(),Wde))));break}if(fi(t),!r){if(k==0){if(n==91)throw rt(new Fr(qr((Nr(),S8t))));if(n==93)throw rt(new Fr(qr((Nr(),A8t))));if(n==45&&!s&&t.a!=93)throw rt(new Fr(qr((Nr(),Zct))))}if(t.c!=0||t.a!=45||n==45&&s)jc(d,n,n);else{if(fi(t),(k=t.c)==1)throw rt(new Fr(qr((Nr(),EH))));if(k==0&&t.a==93)jc(d,n,n),jc(d,45,45);else{if(k==0&&t.a==93||k==24)throw rt(new Fr(qr((Nr(),Zct))));if(h=t.a,k==0){if(h==91)throw rt(new Fr(qr((Nr(),S8t))));if(h==93)throw rt(new Fr(qr((Nr(),A8t))));if(h==45)throw rt(new Fr(qr((Nr(),Zct))))}else k==10&&(h=F5t(t));if(fi(t),n>h)throw rt(new Fr(qr((Nr(),Xde))));jc(d,n,h)}}}s=!1}if(t.c==1)throw rt(new Fr(qr((Nr(),EH))));return b4(d),T\_(d),t.b=0,fi(t),d}function F5n(t){Ir(t.c,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"http://www.w3.org/2001/XMLSchema#decimal"\])),Ir(t.d,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"http://www.w3.org/2001/XMLSchema#integer"\])),Ir(t.e,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"http://www.w3.org/2001/XMLSchema#boolean"\])),Ir(t.f,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"EBoolean",oi,"EBoolean:Object"\])),Ir(t.i,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"http://www.w3.org/2001/XMLSchema#byte"\])),Ir(t.g,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"http://www.w3.org/2001/XMLSchema#hexBinary"\])),Ir(t.j,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"EByte",oi,"EByte:Object"\])),Ir(t.n,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"EChar",oi,"EChar:Object"\])),Ir(t.t,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"http://www.w3.org/2001/XMLSchema#double"\])),Ir(t.u,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"EDouble",oi,"EDouble:Object"\])),Ir(t.F,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"http://www.w3.org/2001/XMLSchema#float"\])),Ir(t.G,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"EFloat",oi,"EFloat:Object"\])),Ir(t.I,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"http://www.w3.org/2001/XMLSchema#int"\])),Ir(t.J,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"EInt",oi,"EInt:Object"\])),Ir(t.N,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"http://www.w3.org/2001/XMLSchema#long"\])),Ir(t.O,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"ELong",oi,"ELong:Object"\])),Ir(t.Z,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"http://www.w3.org/2001/XMLSchema#short"\])),Ir(t.$,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"EShort",oi,"EShort:Object"\])),Ir(t.\_,Kr,ct(ot(Ae,1),te,2,6,\[Sa,"http://www.w3.org/2001/XMLSchema#string"\]))}function B5n(t){var e,n,r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt,Yt,ce,Se,We,Qe,Rn,zn,hr;if(t.c.length==1)return An(0,t.c.length),u(t.c\[0\],135);if(t.c.length<=0)return new A$;for(w=new S(t);w.aM&&(zn=0,hr+=C+Se,C=0),Wbn(Yt,h,zn,hr),e=b.Math.max(e,zn+ce.a),C=b.Math.max(C,ce.b),zn+=ce.a+Se;for(Bt=new Cr,n=new Cr,Qe=new S(t);Qe.aWst(o))&&(M=o);for(!M&&(M=(An(0,tt.c.length),u(tt.c\[0\],180))),Y=new S(e.b);Y.a=-1900?1:0,n>=4?Vr(t,ct(ot(Ae,1),te,2,6,\[nfe,rfe\])\[d\]):Vr(t,ct(ot(Ae,1),te,2,6,\["BC","AD"\])\[d\]);break;case 121:Ihn(t,n,r);break;case 77:Pwn(t,n,r);break;case 107:w=s.q.getHours(),w==0?Xd(t,24,n):Xd(t,w,n);break;case 83:n2n(t,n,s);break;case 69:C=r.q.getDay(),n==5?Vr(t,ct(ot(Ae,1),te,2,6,\["S","M","T","W","T","F","S"\])\[C\]):n==4?Vr(t,ct(ot(Ae,1),te,2,6,\[Qat,Zat,Jat,tot,eot,not,rot\])\[C\]):Vr(t,ct(ot(Ae,1),te,2,6,\["Sun","Mon","Tue","Wed","Thu","Fri","Sat"\])\[C\]);break;case 97:s.q.getHours()>=12&&s.q.getHours()<24?Vr(t,ct(ot(Ae,1),te,2,6,\["AM","PM"\])\[1\]):Vr(t,ct(ot(Ae,1),te,2,6,\["AM","PM"\])\[0\]);break;case 104:M=s.q.getHours()%12,M==0?Xd(t,12,n):Xd(t,M,n);break;case 75:F=s.q.getHours()%12,Xd(t,F,n);break;case 72:H=s.q.getHours(),Xd(t,H,n);break;case 99:V=r.q.getDay(),n==5?Vr(t,ct(ot(Ae,1),te,2,6,\["S","M","T","W","T","F","S"\])\[V\]):n==4?Vr(t,ct(ot(Ae,1),te,2,6,\[Qat,Zat,Jat,tot,eot,not,rot\])\[V\]):n==3?Vr(t,ct(ot(Ae,1),te,2,6,\["Sun","Mon","Tue","Wed","Thu","Fri","Sat"\])\[V\]):Xd(t,V,1);break;case 76:Y=r.q.getMonth(),n==5?Vr(t,ct(ot(Ae,1),te,2,6,\["J","F","M","A","M","J","J","A","S","O","N","D"\])\[Y\]):n==4?Vr(t,ct(ot(Ae,1),te,2,6,\[$at,zat,qat,Hat,l6,Gat,Vat,Uat,Wat,Kat,Yat,Xat\])\[Y\]):n==3?Vr(t,ct(ot(Ae,1),te,2,6,\["Jan","Feb","Mar","Apr",l6,"Jun","Jul","Aug","Sep","Oct","Nov","Dec"\])\[Y\]):Xd(t,Y+1,n);break;case 81:tt=r.q.getMonth()/3|0,n<4?Vr(t,ct(ot(Ae,1),te,2,6,\["Q1","Q2","Q3","Q4"\])\[tt\]):Vr(t,ct(ot(Ae,1),te,2,6,\["1st quarter","2nd quarter","3rd quarter","4th quarter"\])\[tt\]);break;case 100:gt=r.q.getDate(),Xd(t,gt,n);break;case 109:k=s.q.getMinutes(),Xd(t,k,n);break;case 115:h=s.q.getSeconds(),Xd(t,h,n);break;case 122:n<4?Vr(t,o.c\[0\]):Vr(t,o.c\[1\]);break;case 118:Vr(t,o.b);break;case 90:n<3?Vr(t,Vgn(o)):n==3?Vr(t,Kgn(o)):Vr(t,Ygn(o.a));break;default:return!1}return!0}function Sxt(t,e,n,r){var s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt,Yt,ce,Se,We,Qe,Rn,zn,hr,pi;if(\_ue(e),w=u(St((!e.b&&(e.b=new Cn(br,e,4,7)),e.b),0),82),C=u(St((!e.c&&(e.c=new Cn(br,e,5,8)),e.c),0),82),d=Mo(w),k=Mo(C),h=(!e.a&&(e.a=new he(Zi,e,6,6)),e.a).i==0?null:u(St((!e.a&&(e.a=new he(Zi,e,6,6)),e.a),0),202),Se=u(Jn(t.a,d),10),zn=u(Jn(t.a,k),10),We=null,hr=null,Et(w,186)&&(ce=u(Jn(t.a,w),299),Et(ce,11)?We=u(ce,11):Et(ce,10)&&(Se=u(ce,10),We=u(Fe(Se.j,0),11))),Et(C,186)&&(Rn=u(Jn(t.a,C),299),Et(Rn,11)?hr=u(Rn,11):Et(Rn,10)&&(zn=u(Rn,10),hr=u(Fe(zn.j,0),11))),!Se||!zn)throw rt(new F9("The source or the target of edge "+e+" could not be found. This usually happens when an edge connects a node laid out by ELK Layered to a node in another level of hierarchy laid out by either another instance of ELK Layered or another layout algorithm alltogether. The former can be solved by setting the hierarchyHandling option to INCLUDE\_CHILDREN."));for(Y=new zv,Lo(Y,e),Jt(Y,(se(),\_i),e),Jt(Y,(Te(),\_o),null),H=u(Q(r,Gc),21),Se==zn&&H.Fc((oo(),wS)),We||(Yt=(so(),eu),Qe=null,h&&H3(u(Q(Se,os),98))&&(Qe=new $e(h.j,h.k),FZt(Qe,rI(e)),fJt(Qe,n),Zm(k,d)&&(Yt=Ju,Li(Qe,Se.n))),We=Tle(Se,Qe,Yt,r)),hr||(Yt=(so(),Ju),pi=null,h&&H3(u(Q(zn,os),98))&&(pi=new $e(h.b,h.c),FZt(pi,rI(e)),fJt(pi,n)),hr=Tle(zn,pi,Yt,Fa(zn))),Da(Y,We),sa(Y,hr),(We.e.c.length>1||We.g.c.length>1||hr.e.c.length>1||hr.g.c.length>1)&&H.Fc((oo(),vS)),F=new er((!e.n&&(e.n=new he(qo,e,1,7)),e.n));F.e!=F.i.gc();)if(M=u(dr(F),137),!je(Re(qe(M,B2)))&&M.a)switch(tt=Oit(M),ue(Y.b,tt),u(Q(tt,Md),272).g){case 1:case 2:H.Fc((oo(),h7));break;case 0:H.Fc((oo(),l7)),Jt(tt,Md,(A1(),\_7))}if(o=u(Q(r,ES),314),gt=u(Q(r,rV),315),s=o==(Yx(),wO)||gt==(a\_(),lht),h&&(!h.a&&(h.a=new Ss(Hh,h,5)),h.a).i!=0&&s){for(Lt=sD(h),V=new Du,Bt=ei(Lt,0);Bt.b!=Bt.d.c;)\_t=u(ti(Bt),8),ni(V,new yo(\_t));Jt(Y,JTt,V)}return Y}function z5n(t){t.gb||(t.gb=!0,t.b=ic(t,0),es(t.b,18),Pi(t.b,19),t.a=ic(t,1),es(t.a,1),Pi(t.a,2),Pi(t.a,3),Pi(t.a,4),Pi(t.a,5),t.o=ic(t,2),es(t.o,8),es(t.o,9),Pi(t.o,10),Pi(t.o,11),Pi(t.o,12),Pi(t.o,13),Pi(t.o,14),Pi(t.o,15),Pi(t.o,16),Pi(t.o,17),Pi(t.o,18),Pi(t.o,19),Pi(t.o,20),Pi(t.o,21),Pi(t.o,22),Pi(t.o,23),To(t.o),To(t.o),To(t.o),To(t.o),To(t.o),To(t.o),To(t.o),To(t.o),To(t.o),To(t.o),t.p=ic(t,3),es(t.p,2),es(t.p,3),es(t.p,4),es(t.p,5),Pi(t.p,6),Pi(t.p,7),To(t.p),To(t.p),t.q=ic(t,4),es(t.q,8),t.v=ic(t,5),Pi(t.v,9),To(t.v),To(t.v),To(t.v),t.w=ic(t,6),es(t.w,2),es(t.w,3),es(t.w,4),Pi(t.w,5),t.B=ic(t,7),Pi(t.B,1),To(t.B),To(t.B),To(t.B),t.Q=ic(t,8),Pi(t.Q,0),To(t.Q),t.R=ic(t,9),es(t.R,1),t.S=ic(t,10),To(t.S),To(t.S),To(t.S),To(t.S),To(t.S),To(t.S),To(t.S),To(t.S),To(t.S),To(t.S),To(t.S),To(t.S),To(t.S),To(t.S),To(t.S),t.T=ic(t,11),Pi(t.T,10),Pi(t.T,11),Pi(t.T,12),Pi(t.T,13),Pi(t.T,14),To(t.T),To(t.T),t.U=ic(t,12),es(t.U,2),es(t.U,3),Pi(t.U,4),Pi(t.U,5),Pi(t.U,6),Pi(t.U,7),To(t.U),t.V=ic(t,13),Pi(t.V,10),t.W=ic(t,14),es(t.W,18),es(t.W,19),es(t.W,20),Pi(t.W,21),Pi(t.W,22),Pi(t.W,23),t.bb=ic(t,15),es(t.bb,10),es(t.bb,11),es(t.bb,12),es(t.bb,13),es(t.bb,14),es(t.bb,15),es(t.bb,16),Pi(t.bb,17),To(t.bb),To(t.bb),t.eb=ic(t,16),es(t.eb,2),es(t.eb,3),es(t.eb,4),es(t.eb,5),es(t.eb,6),es(t.eb,7),Pi(t.eb,8),Pi(t.eb,9),t.ab=ic(t,17),es(t.ab,0),es(t.ab,1),t.H=ic(t,18),Pi(t.H,0),Pi(t.H,1),Pi(t.H,2),Pi(t.H,3),Pi(t.H,4),Pi(t.H,5),To(t.H),t.db=ic(t,19),Pi(t.db,2),t.c=ai(t,20),t.d=ai(t,21),t.e=ai(t,22),t.f=ai(t,23),t.i=ai(t,24),t.g=ai(t,25),t.j=ai(t,26),t.k=ai(t,27),t.n=ai(t,28),t.r=ai(t,29),t.s=ai(t,30),t.t=ai(t,31),t.u=ai(t,32),t.fb=ai(t,33),t.A=ai(t,34),t.C=ai(t,35),t.D=ai(t,36),t.F=ai(t,37),t.G=ai(t,38),t.I=ai(t,39),t.J=ai(t,40),t.L=ai(t,41),t.M=ai(t,42),t.N=ai(t,43),t.O=ai(t,44),t.P=ai(t,45),t.X=ai(t,46),t.Y=ai(t,47),t.Z=ai(t,48),t.$=ai(t,49),t.\_=ai(t,50),t.cb=ai(t,51),t.K=ai(t,52))}function ci(){ci=Z;var t,e;VS=new Gi(U1e),C7=new Gi(W1e),LSt=(Qd(),Zht),H3e=new mn(gkt,LSt),$6=new mn(b6,null),G3e=new Gi(c8t),ISt=(cy(),ji(eft,ct(ot(nft,1),ae,291,0,\[tft\]))),BV=new mn(cH,ISt),UO=new mn(KD,(Fn(),!1)),DSt=(ao(),c0),jw=new mn(vkt,DSt),PSt=(q0(),gft),NSt=new mn(UD,PSt),RSt=new mn(gH,!1),jSt=($0(),HV),r5=new mn(oH,jSt),YSt=new Mv(12),q2=new mn(ww,YSt),RV=new mn($D,!1),$St=new mn(pct,!1),YO=new mn(F\_,!1),tAt=(oa(),yb),US=new mn(Not,tAt),z6=new Gi(uH),zV=new Gi(jD),fft=new Gi(Hq),dft=new Gi(P\_),zSt=new Du,i5=new mn(\_kt,zSt),U3e=new mn(Lkt,!1),W3e=new mn(Mkt,!1),qSt=new M9,KO=new mn(Dkt,qSt),$V=new mn(fkt,!1),Q3e=new mn(K1e,1),new mn(Y1e,!0),de(0),new mn(X1e,de(100)),new mn(Q1e,!1),de(0),new mn(Z1e,de(4e3)),de(0),new mn(J1e,de(400)),new mn(tde,!1),new mn(ede,!1),new mn(nde,!0),new mn(rde,!1),MSt=(Az(),wft),V3e=new mn(o8t,MSt),Z3e=new mn(tkt,10),J3e=new mn(ekt,10),iAt=new mn(Aot,20),t4e=new mn(nkt,10),sAt=new mn(Oot,2),e4e=new mn(rkt,10),aAt=new mn(ikt,0),qV=new mn(okt,5),oAt=new mn(skt,1),cAt=new mn(akt,1),H2=new mn(ky,20),n4e=new mn(ckt,10),hAt=new mn(ukt,10),q6=new Gi(lkt),lAt=new cUt,uAt=new mn(Okt,lAt),Y3e=new Gi(gct),XSt=!1,K3e=new mn(dct,XSt),GSt=new Mv(5),HSt=new mn(wkt,GSt),VSt=(fy(),e=u(Hf(lo),9),new rh(e,u(uf(e,e.length),9),0)),s5=new mn(RE,VSt),ZSt=(c4(),mb),QSt=new mn(xkt,ZSt),oft=new Gi(kkt),cft=new Gi(Ekt),uft=new Gi(Tkt),aft=new Gi(Ckt),USt=(t=u(Hf(tA),9),new rh(t,u(uf(t,t.length),9),0)),z2=new mn(L4,USt),KSt=un((cl(),M7)),vb=new mn(v6,KSt),WSt=new $e(0,0),a5=new mn(w6,WSt),jV=new mn(fct,!1),OSt=(A1(),\_7),ift=new mn(Skt,OSt),rft=new mn(Gq,!1),de(1),new mn(ide,null),JSt=new Gi(Ikt),lft=new Gi(Akt),rAt=(be(),Zo),o5=new mn(dkt,rAt),hl=new Gi(hkt),eAt=(Qu(),un(xb)),Ky=new mn(jE,eAt),hft=new mn(mkt,!1),nAt=new mn(ykt,!0),WO=new mn(pkt,!1),sft=new mn(bkt,!1),FSt=new mn(Lot,1),BSt=(tq(),bft),new mn(sde,BSt),X3e=!0}function se(){se=Z;var t,e;\_i=new Gi(l6t),YTt=new Gi("coordinateOrigin"),Rlt=new Gi("processors"),KTt=new Os("compoundNode",(Fn(),!1)),kO=new Os("insideConnections",!1),JTt=new Gi("originalBendpoints"),t9t=new Gi("originalDummyNodePosition"),e9t=new Gi("originalLabelEdge"),TO=new Gi("representedLabels"),mS=new Gi("endLabels"),M6=new Gi("endLabel.origin"),D6=new Os("labelSide",(jl(),ZO)),W4=new Os("maxEdgeThickness",0),$1=new Os("reversed",!1),O6=new Gi(zfe),n1=new Os("longEdgeSource",null),Rh=new Os("longEdgeTarget",null),Py=new Os("longEdgeHasLabelDummies",!1),EO=new Os("longEdgeBeforeLabelDummy",!1),HG=new Os("edgeConstraint",(u2(),xlt)),Iw=new Gi("inLayerLayoutUnit"),O2=new Os("inLayerConstraint",(B0(),yO)),I6=new Os("inLayerSuccessorConstraint",new le),ZTt=new Os("inLayerSuccessorConstraintBetweenNonDummies",!1),Zu=new Gi("portDummy"),qG=new Os("crossingHint",de(0)),Gc=new Os("graphProperties",(e=u(Hf(Alt),9),new rh(e,u(uf(e,e.length),9),0))),oc=new Os("externalPortSide",(be(),Zo)),QTt=new Os("externalPortSize",new Ta),Olt=new Gi("externalPortReplacedDummies"),GG=new Gi("externalPortReplacedDummy"),Ny=new Os("externalPortConnections",(t=u(Hf(Xa),9),new rh(t,u(uf(t,t.length),9),0))),Dw=new Os(Ofe,0),WTt=new Gi("barycenterAssociates"),N6=new Gi("TopSideComments"),L6=new Gi("BottomSideComments"),zG=new Gi("CommentConnectionPort"),Plt=new Os("inputCollect",!1),Blt=new Os("outputCollect",!1),xO=new Os("cyclic",!1),XTt=new Gi("crossHierarchyMap"),$lt=new Gi("targetOffset"),new Os("splineLabelSize",new Ta),Y4=new Gi("spacings"),VG=new Os("partitionConstraint",!1),Lw=new Gi("breakingPoint.info"),i9t=new Gi("splines.survivingEdge"),N2=new Gi("splines.route.start"),X4=new Gi("splines.edgeChain"),r9t=new Gi("originalPortConstraints"),d7=new Gi("selfLoopHolder"),g7=new Gi("splines.nsPortY"),Tc=new Gi("modelOrder"),Flt=new Gi("longEdgeTargetNode"),Mw=new Os(g1e,!1),K4=new Os(g1e,!1),Nlt=new Gi("layerConstraints.hiddenNodes"),n9t=new Gi("layerConstraints.opposidePort"),jlt=new Gi("targetNode.modelOrder")}function Axt(){Axt=Z,p9t=(TI(),NG),Q2e=new mn(w6t,p9t),uve=new mn(m6t,(Fn(),!1)),x9t=(x$(),Dlt),gve=new mn(Kq,x9t),Lve=new mn(y6t,!1),Mve=new mn(x6t,!0),\_2e=new mn(k6t,!1),L9t=(yI(),dht),Vve=new mn(E6t,L9t),de(1),Jve=new mn(T6t,de(7)),twe=new mn(C6t,!1),lve=new mn(\_6t,!1),g9t=(v2(),mlt),X2e=new mn($ot,g9t),T9t=(Zz(),aht),Ave=new mn(GD,T9t),k9t=(hh(),CO),yve=new mn(S6t,k9t),de(-1),mve=new mn(A6t,de(-1)),de(-1),xve=new mn(L6t,de(-1)),de(-1),kve=new mn(zot,de(4)),de(-1),Tve=new mn(qot,de(2)),E9t=(w4(),hV),Sve=new mn(Hot,E9t),de(0),\_ve=new mn(Got,de(0)),vve=new mn(Vot,de(vi)),d9t=(Yx(),S6),Y2e=new mn($\_,d9t),F2e=new mn(M6t,!1),H2e=new mn(Uot,.1),W2e=new mn(Wot,!1),de(-1),V2e=new mn(I6t,de(-1)),de(-1),U2e=new mn(D6t,de(-1)),de(0),B2e=new mn(O6t,de(40)),f9t=(W8(),Mlt),z2e=new mn(Kot,f9t),h9t=mO,R2e=new mn(Yq,h9t),A9t=(a\_(),AS),Gve=new mn(M4,A9t),Pve=new Gi(Xq),C9t=(bI(),FG),Ive=new mn(Yot,C9t),\_9t=(nD(),BG),Ove=new mn(Xot,\_9t),Rve=new mn(Qot,.3),$ve=new Gi(Zot),S9t=(sy(),lV),zve=new mn(Jot,S9t),w9t=(uz(),pht),nve=new mn(N6t,w9t),m9t=(lI(),bht),rve=new mn(P6t,m9t),y9t=(tE(),IS),ive=new mn(Qq,y9t),ave=new mn(Zq,.2),tve=new mn(tct,2),Yve=new mn(F6t,null),Qve=new mn(B6t,10),Xve=new mn(R6t,10),Zve=new mn(j6t,20),de(0),Uve=new mn($6t,de(0)),de(0),Wve=new mn(z6t,de(0)),de(0),Kve=new mn(q6t,de(0)),S2e=new mn(ect,!1),o9t=(gE(),bS),L2e=new mn(H6t,o9t),a9t=(D$(),vlt),A2e=new mn(G6t,a9t),fve=new mn(Jq,!1),de(0),hve=new mn(nct,de(16)),de(0),dve=new mn(rct,de(5)),D9t=(gz(),mht),ywe=new mn(Y0,D9t),ewe=new mn(tH,10),iwe=new mn(eH,1),I9t=(X$(),OG),hwe=new mn(z\_,I9t),owe=new Gi(ict),M9t=de(1),de(0),uwe=new mn(sct,M9t),O9t=(oz(),wht),Twe=new mn(nH,O9t),xwe=new Gi(rH),bwe=new mn(iH,!0),gwe=new mn(sH,2),wwe=new mn(act,!0),v9t=(nq(),PG),J2e=new mn(V6t,v9t),b9t=(i6(),o7),Z2e=new mn(U6t,b9t),l9t=(j0(),gb),P2e=new mn(aH,l9t),N2e=new mn(W6t,!1),c9t=(ew(),$4),M2e=new mn(oct,c9t),u9t=(YC(),oht),O2e=new mn(K6t,u9t),I2e=new mn(cct,0),D2e=new mn(uct,0),bve=ylt,pve=wO,Eve=cV,Cve=cV,wve=sht,G2e=($0(),Zg),K2e=S6,q2e=S6,j2e=S6,$2e=Zg,Fve=LS,Bve=AS,Dve=AS,Nve=AS,jve=hht,Hve=LS,qve=LS,sve=(q0(),H6),ove=H6,cve=IS,eve=XO,nwe=x7,rwe=Vy,swe=x7,awe=Vy,fwe=x7,dwe=Vy,cwe=wlt,lwe=OG,Cwe=x7,\_we=Vy,kwe=x7,Ewe=Vy,vwe=Vy,pwe=Vy,mwe=Vy}function ro(){ro=Z,U7t=new ws("DIRECTION\_PREPROCESSOR",0),H7t=new ws("COMMENT\_PREPROCESSOR",1),hS=new ws("EDGE\_AND\_LAYER\_CONSTRAINT\_EDGE\_REVERSER",2),rlt=new ws("INTERACTIVE\_EXTERNAL\_PORT\_POSITIONER",3),hTt=new ws("PARTITION\_PREPROCESSOR",4),gG=new ws("LABEL\_DUMMY\_INSERTER",5),TG=new ws("SELF\_LOOP\_PREPROCESSOR",6),r7=new ws("LAYER\_CONSTRAINT\_PREPROCESSOR",7),uTt=new ws("PARTITION\_MIDPROCESSOR",8),tTt=new ws("HIGH\_DEGREE\_NODE\_LAYER\_PROCESSOR",9),oTt=new ws("NODE\_PROMOTION",10),n7=new ws("LAYER\_CONSTRAINT\_POSTPROCESSOR",11),lTt=new ws("PARTITION\_POSTPROCESSOR",12),Q7t=new ws("HIERARCHICAL\_PORT\_CONSTRAINT\_PROCESSOR",13),fTt=new ws("SEMI\_INTERACTIVE\_CROSSMIN\_PROCESSOR",14),B7t=new ws("BREAKING\_POINT\_INSERTER",15),wG=new ws("LONG\_EDGE\_SPLITTER",16),ilt=new ws("PORT\_SIDE\_PROCESSOR",17),fG=new ws("INVERTED\_PORT\_PROCESSOR",18),xG=new ws("PORT\_LIST\_SORTER",19),gTt=new ws("SORT\_BY\_INPUT\_ORDER\_OF\_MODEL",20),yG=new ws("NORTH\_SOUTH\_PORT\_PREPROCESSOR",21),R7t=new ws("BREAKING\_POINT\_PROCESSOR",22),cTt=new ws(a1e,23),pTt=new ws(o1e,24),kG=new ws("SELF\_LOOP\_PORT\_RESTORER",25),dTt=new ws("SINGLE\_EDGE\_GRAPH\_WRAPPER",26),dG=new ws("IN\_LAYER\_CONSTRAINT\_PROCESSOR",27),K7t=new ws("END\_NODE\_PORT\_LABEL\_MANAGEMENT\_PROCESSOR",28),sTt=new ws("LABEL\_AND\_NODE\_SIZE\_PROCESSOR",29),iTt=new ws("INNERMOST\_NODE\_MARGIN\_CALCULATOR",30),CG=new ws("SELF\_LOOP\_ROUTER",31),z7t=new ws("COMMENT\_NODE\_MARGIN\_CALCULATOR",32),hG=new ws("END\_LABEL\_PREPROCESSOR",33),bG=new ws("LABEL\_DUMMY\_SWITCHER",34),$7t=new ws("CENTER\_LABEL\_MANAGEMENT\_PROCESSOR",35),e7=new ws("LABEL\_SIDE\_SELECTOR",36),nTt=new ws("HYPEREDGE\_DUMMY\_MERGER",37),Z7t=new ws("HIERARCHICAL\_PORT\_DUMMY\_SIZE\_PROCESSOR",38),aTt=new ws("LAYER\_SIZE\_AND\_GRAPH\_HEIGHT\_CALCULATOR",39),fS=new ws("HIERARCHICAL\_PORT\_POSITION\_PROCESSOR",40),G7t=new ws("CONSTRAINTS\_POSTPROCESSOR",41),q7t=new ws("COMMENT\_POSTPROCESSOR",42),rTt=new ws("HYPERNODE\_PROCESSOR",43),J7t=new ws("HIERARCHICAL\_PORT\_ORTHOGONAL\_EDGE\_ROUTER",44),vG=new ws("LONG\_EDGE\_JOINER",45),EG=new ws("SELF\_LOOP\_POSTPROCESSOR",46),j7t=new ws("BREAKING\_POINT\_REMOVER",47),mG=new ws("NORTH\_SOUTH\_PORT\_POSTPROCESSOR",48),eTt=new ws("HORIZONTAL\_COMPACTOR",49),pG=new ws("LABEL\_DUMMY\_REMOVER",50),Y7t=new ws("FINAL\_SPLINE\_BENDPOINTS\_CALCULATOR",51),W7t=new ws("END\_LABEL\_SORTER",52),bO=new ws("REVERSED\_EDGE\_RESTORER",53),lG=new ws("END\_LABEL\_POSTPROCESSOR",54),X7t=new ws("HIERARCHICAL\_NODE\_RESIZER",55),V7t=new ws("DIRECTION\_POSTPROCESSOR",56)}function q5n(t,e,n){var r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt,\_t,Bt,Yt,ce,Se,We,Qe,Rn,zn,hr,pi,Rs,Xl,Kh,W1,hU,bN,dA,vN,P7,Nft,z5e,Pft,ip,Vw,F7,wN,mN,Y6,Fft,gA,q5e,MLt,Uw,pA,Bft,X6,bA,i3,vA,Rft,H5e;for(MLt=0,pi=e,Kh=0,bN=pi.length;Kh0&&(t.a\[ip.p\]=MLt++)}for(bA=0,Rs=n,W1=0,dA=Rs.length;W10;){for(ip=(Qn(mN.b>0),u(mN.a.Xb(mN.c=--mN.b),11)),wN=0,d=new S(ip.e);d.a0&&(ip.j==(be(),Nn)?(t.a\[ip.p\]=bA,++bA):(t.a\[ip.p\]=bA+vN+Nft,++Nft))}bA+=Nft}for(F7=new Cr,V=new A0,hr=e,Xl=0,hU=hr.length;Xlk.b&&(k.b=Y6)):ip.i.c==q5e&&(Y6k.c&&(k.c=Y6));for(D8(Y,0,Y.length,null),X6=Pt(Tr,Xr,25,Y.length,15,1),r=Pt(Tr,Xr,25,bA+1,15,1),gt=0;gt0;)Se%2>0&&(s+=Rft\[Se+1\]),Se=(Se-1)/2|0,++Rft\[Se\];for(Qe=Pt(pme,Ie,362,Y.length\*2,0,1),Bt=0;Bt'?":hn(Bde,t)?"'(?<' or '(? toIndex: ",zxt=", toIndex: ",qxt="Index: ",Hxt=", Size: ",OE="org.eclipse.elk.alg.common",Oi={62:1},pfe="org.eclipse.elk.alg.common.compaction",bfe="Scanline/EventHandler",r0="org.eclipse.elk.alg.common.compaction.oned",vfe="CNode belongs to another CGroup.",wfe="ISpacingsHandler/1",bot="The ",vot=" instance has been finished already.",mfe="The direction ",yfe=" is not supported by the CGraph instance.",xfe="OneDimensionalCompactor",kfe="OneDimensionalCompactor/lambda$0$Type",Efe="Quadruplet",Tfe="ScanlineConstraintCalculator",Cfe="ScanlineConstraintCalculator/ConstraintsScanlineHandler",\_fe="ScanlineConstraintCalculator/ConstraintsScanlineHandler/lambda$0$Type",Sfe="ScanlineConstraintCalculator/Timestamp",Afe="ScanlineConstraintCalculator/lambda$0$Type",wd={169:1,45:1},wot="org.eclipse.elk.alg.common.compaction.options",Qo="org.eclipse.elk.core.data",Gxt="org.eclipse.elk.polyomino.traversalStrategy",Vxt="org.eclipse.elk.polyomino.lowLevelSort",Uxt="org.eclipse.elk.polyomino.highLevelSort",Wxt="org.eclipse.elk.polyomino.fill",Ih={130:1},mot="polyomino",D\_="org.eclipse.elk.alg.common.networksimplex",i0={177:1,3:1,4:1},Lfe="org.eclipse.elk.alg.common.nodespacing",k2="org.eclipse.elk.alg.common.nodespacing.cellsystem",NE="CENTER",Mfe={212:1,326:1},Kxt={3:1,4:1,5:1,595:1},d6="LEFT",g6="RIGHT",Yxt="Vertical alignment cannot be 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Requested point (",\_ot=") is out of bounds.",$q=" Given center based coordinates were (",BD="org.eclipse.elk.graph.properties",Nfe="IPropertyHolder",Zxt={3:1,94:1,134:1},p6="org.eclipse.elk.alg.common.spore",Pfe="org.eclipse.elk.alg.common.utils",E2={209:1},S4="org.eclipse.elk.core",Ffe="Connected Components Compaction",Bfe="org.eclipse.elk.alg.disco",zq="org.eclipse.elk.alg.disco.graph",Sot="org.eclipse.elk.alg.disco.options",Jxt="CompactionStrategy",t6t="org.eclipse.elk.disco.componentCompaction.strategy",e6t="org.eclipse.elk.disco.componentCompaction.componentLayoutAlgorithm",n6t="org.eclipse.elk.disco.debug.discoGraph",r6t="org.eclipse.elk.disco.debug.discoPolys",Rfe="componentCompaction",T2="org.eclipse.elk.disco",Aot="org.eclipse.elk.spacing.componentComponent",Lot="org.eclipse.elk.edge.thickness",b6="org.eclipse.elk.aspectRatio",ww="org.eclipse.elk.padding",A4="org.eclipse.elk.alg.disco.transform",Mot=1.5707963267948966,FE=17976931348623157e292,xy={3:1,4:1,5:1,192:1},i6t={3:1,6:1,4:1,5:1,106:1,120:1},s6t="org.eclipse.elk.alg.force",a6t="ComponentsProcessor",jfe="ComponentsProcessor/1",RD="org.eclipse.elk.alg.force.graph",$fe="Component 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Stress",w6="org.eclipse.elk.nodeSize.minimum",Vq="org.eclipse.elk.alg.force.stress",Vfe="Layered layout",m6="org.eclipse.elk.alg.layered",zD="org.eclipse.elk.alg.layered.compaction.components",B\_="org.eclipse.elk.alg.layered.compaction.oned",Uq="org.eclipse.elk.alg.layered.compaction.oned.algs",C2="org.eclipse.elk.alg.layered.compaction.recthull",xd="org.eclipse.elk.alg.layered.components",K0="NONE",xc={3:1,6:1,4:1,9:1,5:1,122:1},Ufe={3:1,6:1,4:1,5:1,141:1,106:1,120:1},Wq="org.eclipse.elk.alg.layered.compound",as={51:1},Jc="org.eclipse.elk.alg.layered.graph",Pot=" -> ",Wfe="Not supported by LGraph",b6t="Port side is undefined",Fot={3:1,6:1,4:1,5:1,474:1,141:1,106:1,120:1},zg={3:1,6:1,4:1,5:1,141:1,193:1,203:1,106:1,120:1},Kfe={3:1,6:1,4:1,5:1,141:1,1943:1,203:1,106:1,120:1},Yfe=\`(\[{"' \\r \`,Xfe=\`)\]}"' \\r \`,Qfe="The given string contains parts that cannot be parsed as 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processing",Cs="org.eclipse.elk.alg.layered.intermediate.compaction",R\_="org.eclipse.elk.alg.layered.intermediate.greedyswitch",s0="org.eclipse.elk.alg.layered.p3order.counting",HD={225:1},y6="org.eclipse.elk.alg.layered.intermediate.loops",Hl="org.eclipse.elk.alg.layered.intermediate.loops.ordering",ib="org.eclipse.elk.alg.layered.intermediate.loops.routing",j\_="org.eclipse.elk.alg.layered.intermediate.preserveorder",kd="org.eclipse.elk.alg.layered.intermediate.wrapping",kc="org.eclipse.elk.alg.layered.options",jot="INTERACTIVE",h1e="DEPTH\_FIRST",f1e="EDGE\_LENGTH",d1e="SELF\_LOOPS",g1e="firstTryWithInitialOrder",w6t="org.eclipse.elk.layered.directionCongruency",m6t="org.eclipse.elk.layered.feedbackEdges",Kq="org.eclipse.elk.layered.interactiveReferencePoint",y6t="org.eclipse.elk.layered.mergeEdges",x6t="org.eclipse.elk.layered.mergeHierarchyEdges",k6t="org.eclipse.elk.layered.allowNonFlowPortsToSwitchSides",E6t="org.eclipse.elk.layered.portSortingStrategy",T6t="org.eclipse.elk.layered.thoroughness",C6t="org.eclipse.elk.layered.unnecessaryBendpoints",\_6t="org.eclipse.elk.layered.generatePositionAndLayerIds",$ot="org.eclipse.elk.layered.cycleBreaking.strategy",GD="org.eclipse.elk.layered.layering.strategy",S6t="org.eclipse.elk.layered.layering.layerConstraint",A6t="org.eclipse.elk.layered.layering.layerChoiceConstraint",L6t="org.eclipse.elk.layered.layering.layerId",zot="org.eclipse.elk.layered.layering.minWidth.upperBoundOnWidth",qot="org.eclipse.elk.layered.layering.minWidth.upperLayerEstimationScalingFactor",Hot="org.eclipse.elk.layered.layering.nodePromotion.strategy",Got="org.eclipse.elk.layered.layering.nodePromotion.maxIterations",Vot="org.eclipse.elk.layered.layering.coffmanGraham.layerBound",$\_="org.eclipse.elk.layered.crossingMinimization.strategy",M6t="org.eclipse.elk.layered.crossingMinimization.forceNodeModelOrder",Uot="org.eclipse.elk.layered.crossingMinimization.hierarchicalSweepiness",Wot="org.eclipse.elk.layered.crossingMinimization.semiInteractive",I6t="org.eclipse.elk.layered.crossingMinimization.positionChoiceConstraint",D6t="org.eclipse.elk.layered.crossingMinimization.positionId",O6t="org.eclipse.elk.layered.crossingMinimization.greedySwitch.activationThreshold",Kot="org.eclipse.elk.layered.crossingMinimization.greedySwitch.type",Yq="org.eclipse.elk.layered.crossingMinimization.greedySwitchHierarchical.type",M4="org.eclipse.elk.layered.nodePlacement.strategy",Xq="org.eclipse.elk.layered.nodePlacement.favorStraightEdges",Yot="org.eclipse.elk.layered.nodePlacement.bk.edgeStraightening",Xot="org.eclipse.elk.layered.nodePlacement.bk.fixedAlignment",Qot="org.eclipse.elk.layered.nodePlacement.linearSegments.deflectionDampening",Zot="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility",Jot="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility.default",N6t="org.eclipse.elk.layered.edgeRouting.selfLoopDistribution",P6t="org.eclipse.elk.layered.edgeRouting.selfLoopOrdering",Qq="org.eclipse.elk.layered.edgeRouting.splines.mode",Zq="org.eclipse.elk.layered.edgeRouting.splines.sloppy.layerSpacingFactor",tct="org.eclipse.elk.layered.edgeRouting.polyline.slopedEdgeZoneWidth",F6t="org.eclipse.elk.layered.spacing.baseValue",B6t="org.eclipse.elk.layered.spacing.edgeNodeBetweenLayers",R6t="org.eclipse.elk.layered.spacing.edgeEdgeBetweenLayers",j6t="org.eclipse.elk.layered.spacing.nodeNodeBetweenLayers",$6t="org.eclipse.elk.layered.priority.direction",z6t="org.eclipse.elk.layered.priority.shortness",q6t="org.eclipse.elk.layered.priority.straightness",ect="org.eclipse.elk.layered.compaction.connectedComponents",H6t="org.eclipse.elk.layered.compaction.postCompaction.strategy",G6t="org.eclipse.elk.layered.compaction.postCompaction.constraints",Jq="org.eclipse.elk.layered.highDegreeNodes.treatment",nct="org.eclipse.elk.layered.highDegreeNodes.threshold",rct="org.eclipse.elk.layered.highDegreeNodes.treeHeight",Y0="org.eclipse.elk.layered.wrapping.strategy",tH="org.eclipse.elk.layered.wrapping.additionalEdgeSpacing",eH="org.eclipse.elk.layered.wrapping.correctionFactor",z\_="org.eclipse.elk.layered.wrapping.cutting.strategy",ict="org.eclipse.elk.layered.wrapping.cutting.cuts",sct="org.eclipse.elk.layered.wrapping.cutting.msd.freedom",nH="org.eclipse.elk.layered.wrapping.validify.strategy",rH="org.eclipse.elk.layered.wrapping.validify.forbiddenIndices",iH="org.eclipse.elk.layered.wrapping.multiEdge.improveCuts",sH="org.eclipse.elk.layered.wrapping.multiEdge.distancePenalty",act="org.eclipse.elk.layered.wrapping.multiEdge.improveWrappedEdges",V6t="org.eclipse.elk.layered.edgeLabels.sideSelection",U6t="org.eclipse.elk.layered.edgeLabels.centerLabelPlacementStrategy",aH="org.eclipse.elk.layered.considerModelOrder.strategy",W6t="org.eclipse.elk.layered.considerModelOrder.noModelOrder",oct="org.eclipse.elk.layered.considerModelOrder.components",K6t="org.eclipse.elk.layered.considerModelOrder.longEdgeStrategy",cct="org.eclipse.elk.layered.considerModelOrder.crossingCounterNodeInfl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whether and how post-process compaction is applied.",Q6t="highDegreeNodes",Z6t="wrapping",E1e="wrapping.cutting",T1e="wrapping.validify",J6t="wrapping.multiEdge",hct="edgeLabels",WD="considerModelOrder",tkt="org.eclipse.elk.spacing.commentComment",ekt="org.eclipse.elk.spacing.commentNode",nkt="org.eclipse.elk.spacing.edgeEdge",rkt="org.eclipse.elk.spacing.edgeNode",ikt="org.eclipse.elk.spacing.labelLabel",skt="org.eclipse.elk.spacing.labelPortHorizontal",akt="org.eclipse.elk.spacing.labelPortVertical",okt="org.eclipse.elk.spacing.labelNode",ckt="org.eclipse.elk.spacing.nodeSelfLoop",ukt="org.eclipse.elk.spacing.portPort",lkt="org.eclipse.elk.spacing.individual",hkt="org.eclipse.elk.port.borderOffset",fkt="org.eclipse.elk.noLayout",dkt="org.eclipse.elk.port.side",KD="org.eclipse.elk.debugMode",gkt="org.eclipse.elk.alignment",pkt="org.eclipse.elk.insideSelfLoops.activate",bkt="org.eclipse.elk.insideSelfLoops.yo",fct="org.eclipse.elk.nodeSize.fixedGraphSize",vkt="org.eclipse.elk.direction",wkt="org.eclipse.elk.nodeLabels.padding",mkt="org.eclipse.elk.portLabels.nextToPortIfPossible",ykt="org.eclipse.elk.portLabels.treatAsGroup",xkt="org.eclipse.elk.portAlignment.default",kkt="org.eclipse.elk.portAlignment.north",Ekt="org.eclipse.elk.portAlignment.south",Tkt="org.eclipse.elk.portAlignment.west",Ckt="org.eclipse.elk.portAlignment.east",cH="org.eclipse.elk.contentAlignment",\_kt="org.eclipse.elk.junctionPoints",Skt="org.eclipse.elk.edgeLabels.placement",Akt="org.eclipse.elk.port.index",Lkt="org.eclipse.elk.commentBox",Mkt="org.eclipse.elk.hypernode",Ikt="org.eclipse.elk.port.anchor",dct="org.eclipse.elk.partitioning.activate",gct="org.eclipse.elk.partitioning.partition",uH="org.eclipse.elk.position",Dkt="org.eclipse.elk.margins",Okt="org.eclipse.elk.spacing.portsSurrounding",pct="org.eclipse.elk.interactiveLayout",Ec="org.eclipse.elk.core.util",Nkt={3:1,4:1,5:1,593:1},C1e="NETWORK\_SIMPLEX",zc={123:1,51:1},lH="org.eclipse.elk.alg.layered.p1cycles",Ey="org.eclipse.elk.alg.layered.p2layers",Pkt={402:1,225:1},\_1e={832:1,3:1,4:1},$u="org.eclipse.elk.alg.layered.p3order",uo="org.eclipse.elk.alg.layered.p4nodes",S1e={3:1,4:1,5:1,840:1},Ed=1e-5,sb="org.eclipse.elk.alg.layered.p4nodes.bk",bct="org.eclipse.elk.alg.layered.p5edges",Jf="org.eclipse.elk.alg.layered.p5edges.orthogonal",vct="org.eclipse.elk.alg.layered.p5edges.orthogonal.direction",wct=1e-6,Ty="org.eclipse.elk.alg.layered.p5edges.splines",mct=.09999999999999998,hH=1e-8,A1e=4.71238898038469,L1e=3.141592653589793,q\_="org.eclipse.elk.alg.mrtree",H\_="org.eclipse.elk.alg.mrtree.graph",x6="org.eclipse.elk.alg.mrtree.intermediate",M1e="Set 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The option is set on parent nodes."),L9t),cs),BCt),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,T6t),""),"Thoroughness"),"How much effort should be spent to produce a nice layout."),de(7)),gc),ja),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,C6t),""),"Add Unnecessary Bendpoints"),"Adds bend points even if an edge does not change direction. If true, each long edge dummy will contribute a bend point to its edges and hierarchy-crossing edges will always get a bend point where they cross hierarchy boundaries. By default, bend points are only added where an edge changes direction."),!1),Aa),Bs),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,\_6t),""),"Generate Position and Layer IDs"),"If enabled position id and layer id are generated, which are usually only used internally when setting the interactiveLayout option. 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Assumed the drawing has n layers and i < n. If set to i, it expresses that the node should be placed in i-th layer. Should i>=n be true then the node is placed in the last layer of the drawing. Note that this option is not part of any of ELK Layered's default configurations but is only evaluated as part of the \`InteractiveLayeredGraphVisitor\`, which must be applied manually or used via the \`DiagramLayoutEngine."),de(-1)),gc),ja),un(Js)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,L6t),lct),"Layer ID"),"Layer identifier that was calculated by ELK Layered for a node. This is only generated if interactiveLayot or generatePositionAndLayerIds is set."),de(-1)),gc),ja),un(Js)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,zot),p1e),"Upper Bound On Width \[MinWidth Layerer\]"),"Defines a loose upper bound on the width of the MinWidth layerer. If set to '-1' multiple values are tested and the best result is selected."),de(4)),gc),ja),un(qn)))),aa(e,zot,GD,Eve),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,qot),p1e),"Upper Layer Estimation Scaling Factor \[MinWidth Layerer\]"),"Multiplied with Upper Bound On Width for defining an upper bound on the width of layers which haven't been determined yet, but whose maximum width had been (roughly) estimated by the MinWidth algorithm. Compensates for too high estimations. If set to '-1' multiple values are tested and the best result is selected."),de(2)),gc),ja),un(qn)))),aa(e,qot,GD,Cve),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Hot),b1e),"Node Promotion Strategy"),"Reduces number of dummy nodes after layering phase (if possible)."),E9t),cs),NCt),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Got),b1e),"Max Node Promotion Iterations"),"Limits the number of iterations for node promotion."),de(0)),gc),ja),un(qn)))),aa(e,Got,Hot,null),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Vot),"layering.coffmanGraham"),"Layer Bound"),"The maximum number of nodes allowed per layer."),de(vi)),gc),ja),un(qn)))),aa(e,Vot,GD,wve),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,$\_),VD),"Crossing Minimization Strategy"),"Strategy for crossing minimization."),d9t),cs),TTt),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,M6t),VD),"Force Node Model Order"),"The node order given by the model does not change to produce a better layout. E.g. if node A is before node B in the model this is not changed during crossing minimization. This assumes that the node model order is already respected before crossing minimization. This can be achieved by setting considerModelOrder.strategy to NODES\_AND\_EDGES."),!1),Aa),Bs),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Uot),VD),"Hierarchical Sweepiness"),"How likely it is to use cross-hierarchy (1) vs bottom-up (-1)."),.1),Do),ca),un(qn)))),aa(e,Uot,oH,G2e),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Wot),VD),"Semi-Interactive Crossing Minimization"),"Preserves the order of nodes within a layer but still minimizes crossings between edges connecting long edge dummies. Derives the desired order from positions specified by the 'org.eclipse.elk.position' layout option. Requires a crossing minimization strategy that is able to process 'in-layer' constraints."),!1),Aa),Bs),un(qn)))),aa(e,Wot,$\_,K2e),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,I6t),VD),"Position Choice Constraint"),"Allows to set a constraint regarding the position placement of a node in a layer. Assumed the layer in which the node placed includes n other nodes and i < n. If set to i, it expresses that the node should be placed at the i-th position. Should i>=n be true then the node is placed at the last position in the layer. Note that this option is not part of any of ELK Layered's default configurations but is only evaluated as part of the \`InteractiveLayeredGraphVisitor\`, which must be applied manually or used via the \`DiagramLayoutEngine."),de(-1)),gc),ja),un(Js)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,D6t),VD),"Position ID"),"Position within a layer that was determined by ELK Layered for a node. This is only generated if interactiveLayot or generatePositionAndLayerIds is set."),de(-1)),gc),ja),un(Js)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,O6t),v1e),"Greedy Switch Activation Threshold"),"By default it is decided automatically if the greedy switch is activated or not. The decision is based on whether the size of the input graph (without dummy nodes) is smaller than the value of this option. A '0' enforces the activation."),de(40)),gc),ja),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Kot),v1e),"Greedy Switch Crossing Minimization"),"Greedy Switch strategy for crossing minimization. The greedy switch heuristic is executed after the regular crossing minimization as a post-processor. Note that if 'hierarchyHandling' is set to 'INCLUDE\_CHILDREN', the 'greedySwitchHierarchical.type' option must be used."),f9t),cs),Ilt),un(qn)))),aa(e,Kot,$\_,q2e),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Yq),"crossingMinimization.greedySwitchHierarchical"),"Greedy Switch Crossing Minimization (hierarchical)"),"Activates the greedy switch heuristic in case hierarchical layout is used. The differences to the non-hierarchical case (see 'greedySwitch.type') are: 1) greedy switch is inactive by default, 3) only the option value set on the node at which hierarchical layout starts is relevant, and 2) if it's activated by the user, it properly addresses hierarchy-crossing edges."),h9t),cs),Ilt),un(qn)))),aa(e,Yq,$\_,j2e),aa(e,Yq,oH,$2e),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,M4),w1e),"Node Placement Strategy"),"Strategy for node placement."),A9t),cs),LCt),un(qn)))),an(e,new Xe(rn(nn(sn(Ze(en(Je(tn(new Ue,Xq),w1e),"Favor Straight Edges Over Balancing"),"Favor straight edges over a balanced node placement. The default behavior is determined automatically based on the used 'edgeRouting'. For an orthogonal style it is set to true, for all other styles to false."),Aa),Bs),un(qn)))),aa(e,Xq,M4,Fve),aa(e,Xq,M4,Bve),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Yot),m1e),"BK Edge Straightening"),"Specifies whether the Brandes Koepf node placer tries to increase the number of straight edges at the expense of diagram size. There is a subtle difference to the 'favorStraightEdges' option, which decides whether a balanced placement of the nodes is desired, or not. In bk terms this means combining the four alignments into a single balanced one, or not. 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Two configurations are possible: (a) allow ports to move freely on the side they are assigned to (the order is always defined beforehand), (b) additionally allow to enlarge a node wherever it helps. If this option is not configured for a node, the 'nodeFlexibility.default' value is used, which is specified for the node's parent."),cs),uht),un(Js)))),aa(e,Zot,M4,Hve),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Jot),"nodePlacement.networkSimplex.nodeFlexibility"),"Node Flexibility Default"),"Default value of the 'nodeFlexibility' option for the children of a hierarchical node."),S9t),cs),uht),un(qn)))),aa(e,Jot,M4,qve),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,N6t),y1e),"Self-Loop Distribution"),"Alter the distribution of the loops around the node. It only takes effect for PortConstraints.FREE."),w9t),cs),$Ct),un(Js)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,P6t),y1e),"Self-Loop Ordering"),"Alter the ordering of the loops they can either be stacked or sequenced. It only takes effect for PortConstraints.FREE."),m9t),cs),zCt),un(Js)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Qq),"edgeRouting.splines"),"Spline Routing Mode"),"Specifies the way control points are assembled for each individual edge. CONSERVATIVE ensures that edges are properly routed around the nodes but feels rather orthogonal at times. SLOPPY uses fewer control points to obtain curvier edge routes but may result in edges overlapping nodes."),y9t),cs),HCt),un(qn)))),aa(e,Qq,UD,sve),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Zq),"edgeRouting.splines.sloppy"),"Sloppy Spline Layer Spacing Factor"),"Spacing factor for routing area between layers when using sloppy spline routing."),.2),Do),ca),un(qn)))),aa(e,Zq,UD,ove),aa(e,Zq,Qq,cve),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,tct),"edgeRouting.polyline"),"Sloped Edge Zone Width"),"Width of the strip to the left and to the right of each layer where the polyline edge router is allowed to refrain from ensuring that edges are routed horizontally. This prevents awkward bend points for nodes that extent almost to the edge of their layer."),2),Do),ca),un(qn)))),aa(e,tct,UD,eve),an(e,new Xe(rn(nn(sn(Ze(en(Je(tn(new Ue,F6t),F1),"Spacing Base Value"),"An optional base value for all other layout options of the 'spacing' group. It can be used to conveniently alter the overall 'spaciousness' of the drawing. Whenever an explicit value is set for the other layout options, this base value will have no effect. The base value is not inherited, i.e. it must be set for each hierarchical node."),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,B6t),F1),"Edge Node Between Layers Spacing"),"The spacing to be preserved between nodes and edges that are routed next to the node's layer. For the spacing between nodes and edges that cross the node's layer 'spacing.edgeNode' is used."),10),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,R6t),F1),"Edge Edge Between Layer Spacing"),"Spacing to be preserved between pairs of edges that are routed between the same pair of layers. Note that 'spacing.edgeEdge' is used for the spacing between pairs of edges crossing the same layer."),10),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,j6t),F1),"Node Node Between Layers Spacing"),"The spacing to be preserved between any pair of nodes of two adjacent layers. Note that 'spacing.nodeNode' is used for the spacing between nodes within the layer itself."),20),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,$6t),Y6t),"Direction Priority"),"Defines how important it is to have a certain edge point into the direction of the overall layout. This option is evaluated during the cycle breaking phase."),de(0)),gc),ja),un(Id)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,z6t),Y6t),"Shortness Priority"),"Defines how important it is to keep an edge as short as possible. 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selected node relative to other nodes; the exact meaning depends on the used algorithm."),LSt),cs),kSt),un(Js)))),an(e,new Xe(rn(nn(sn(Ze(en(Je(tn(new Ue,b6),""),"Aspect Ratio"),"The desired aspect ratio of the drawing, that is the quotient of width by height."),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(Ze(en(Je(tn(new Ue,c8t),""),"Bend Points"),"A fixed list of bend points for the edge. 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Yet, if any unforeseen behavior occurs, this option allows to deactivate the micro layout."),!1),Aa),Bs),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Not),""),"Port Constraints"),"Defines constraints of the position of the ports of a node."),tAt),cs),SAt),un(Js)))),an(e,new Xe(rn(nn(sn(Ze(en(Je(tn(new Ue,uH),""),"Position"),"The position of a node, port, or label. This is used by the 'Fixed Layout' algorithm to specify a pre-defined position."),q1),Us),ji(Js,ct(ot(Qg,1),ae,175,0,\[$2,Xg\]))))),an(e,new Xe(rn(nn(sn(Ze(en(Je(tn(new Ue,jD),""),"Priority"),"Defines the priority of an object; its meaning depends on the specific layout algorithm and the context where it is used."),gc),ja),ji(Js,ct(ot(Qg,1),ae,175,0,\[Id\]))))),an(e,new Xe(rn(nn(sn(Ze(en(Je(tn(new Ue,Hq),""),"Randomization Seed"),"Seed used for pseudo-random number generators to control the layout algorithm. 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This is used to mark parts of a diagram to avoid their inclusion in the layout graph, or to mark parts of the layout graph to prevent layout engines from processing them. If you wish to exclude the contents of a compound node from automatic layout, while the node itself is still considered on its own layer, use the 'Fixed Layout' algorithm for that node."),!1),Aa),Bs),ji(Js,ct(ot(Qg,1),ae,175,0,\[Id,$2,Xg\]))))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,K1e),""),"Scale Factor"),"The scaling factor to be applied to the corresponding node in recursive layout. It causes the corresponding node's size to be adjusted, and its ports and labels to be sized and placed accordingly after the layout of that node has been determined (and before the node itself and its siblings are arranged). The scaling is not reverted afterwards, so the resulting layout graph contains the adjusted size and position data. This option is currently not supported if 'Layout Hierarchy' is set."),1),Do),ca),un(Js)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Y1e),""),"Animate"),"Whether the shift from the old layout to the new computed layout shall be animated."),!0),Aa),Bs),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,X1e),""),"Animation Time Factor"),"Factor for computation of animation time. The higher the value, the longer the animation time. If the value is 0, the resulting time is always equal to the minimum defined by 'Minimal Animation Time'."),de(100)),gc),ja),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Q1e),""),"Layout Ancestors"),"Whether the hierarchy levels on the path from the selected element to the root of the diagram shall be included in the layout process."),!1),Aa),Bs),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Z1e),""),"Maximal Animation Time"),"The maximal time for animations, in milliseconds."),de(4e3)),gc),ja),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,J1e),""),"Minimal Animation Time"),"The minimal time for animations, in milliseconds."),de(400)),gc),ja),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,tde),""),"Progress Bar"),"Whether a progress bar shall be displayed during layout computations."),!1),Aa),Bs),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,ede),""),"Validate Graph"),"Whether the graph shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!1),Aa),Bs),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,nde),""),"Validate Options"),"Whether layout options shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!0),Aa),Bs),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,rde),""),"Zoom to Fit"),"Whether the zoom level shall be set to view the whole diagram after layout."),!1),Aa),Bs),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,o8t),"box"),"Box Layout Mode"),"Configures the packing mode used by the {@link BoxLayoutProvider}. If SIMPLE is not required (neither priorities are used nor the interactive mode), GROUP\_DEC can improve the packing and decrease the area. GROUP\_MIXED and GROUP\_INC may, in very specific scenarios, work better."),MSt),cs),OAt),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,tkt),F1),"Comment Comment Spacing"),"Spacing to be preserved between a comment box and other comment boxes connected to the same node. The space left between comment boxes of different nodes is controlled by the node-node spacing."),10),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,ekt),F1),"Comment Node Spacing"),"Spacing to be preserved between a node and its connected comment boxes. The space left between a node and the comments of another node is controlled by the node-node spacing."),10),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Aot),F1),"Components Spacing"),"Spacing to be preserved between pairs of connected components. This option is only relevant if 'separateConnectedComponents' is activated."),20),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,nkt),F1),"Edge Spacing"),"Spacing to be preserved between any two edges. Note that while this can somewhat easily be satisfied for the segments of orthogonally drawn edges, it is harder for general polylines or splines."),10),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,Oot),F1),"Edge Label Spacing"),"The minimal distance to be preserved between a label and the edge it is associated with. Note that the placement of a label is influenced by the 'edgelabels.placement' option."),2),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,rkt),F1),"Edge Node Spacing"),"Spacing to be preserved between nodes and edges."),10),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,ikt),F1),"Label Spacing"),"Determines the amount of space to be left between two labels of the same graph element."),0),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,okt),F1),"Label Node Spacing"),"Spacing to be preserved between labels and the border of node they are associated with. Note that the placement of a label is influenced by the 'nodelabels.placement' option."),5),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,skt),F1),"Horizontal spacing between Label and Port"),"Horizontal spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),Do),ca),un(qn)))),an(e,new Xe(rn(nn(sn(kn(Ze(en(Je(tn(new Ue,akt),F1),"Vertical spacing between Label and Port"),"Vertical spacing to be preserved between labels and the ports they are associated with. 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sh(this,e-Zn((dn(),Cb)),yn((n=u(In(this,16),26),n||Cb),e))},l.oh=function(e){var n;return n=this.i==null||this.q&&this.q.i!=0?null:gD(this,e),n||kxt(this,e)},l.sh=function(e,n){var r;switch(e){case 0:!this.Ab&&(this.Ab=new he(Zr,this,0,3)),xr(this.Ab),!this.Ab&&(this.Ab=new he(Zr,this,0,3)),rs(this.Ab,u(n,14));return;case 1:p$(this,Br(n));return;case 2:Ket(this,Br(n));return;case 5:CE(this,Br(n));return;case 7:!this.A&&(this.A=new Ou(lu,this,7)),xr(this.A),!this.A&&(this.A=new Ou(lu,this,7)),rs(this.A,u(n,14));return;case 8:Xyt(this,je(Re(n)));return;case 9:Qyt(this,je(Re(n)));return;case 10:C\_(So(this)),rs(So(this),u(n,14));return;case 11:!this.q&&(this.q=new he(Vh,this,11,10)),xr(this.q),!this.q&&(this.q=new he(Vh,this,11,10)),rs(this.q,u(n,14));return;case 21:!this.s&&(this.s=new he(Au,this,21,17)),xr(this.s),!this.s&&(this.s=new he(Au,this,21,17)),rs(this.s,u(n,14));return;case 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is(this,0)),hC(Bc(this.a,gN),u(n,14));return;case 4:!this.a&&(this.a=new is(this,0)),vx(Bc(this.a,(Di(),pN))),!this.a&&(this.a=new is(this,0)),hC(Bc(this.a,pN),u(n,14));return;case 5:!this.a&&(this.a=new is(this,0)),vx(Bc(this.a,(Di(),cA))),!this.a&&(this.a=new is(this,0)),hC(Bc(this.a,cA),u(n,14));return;case 6:!this.a&&(this.a=new is(this,0)),vx(Bc(this.a,(Di(),uA))),!this.a&&(this.a=new is(this,0)),hC(Bc(this.a,uA),u(n,14));return}fh(this,e-Zn((Di(),Gw)),yn(this.j&2?(!this.k&&(this.k=new th),this.k).ck():Gw,e),n)},l.zh=function(){return Di(),Gw},l.Bh=function(e){switch(e){case 0:!this.a&&(this.a=new is(this,0)),xr(this.a);return;case 1:!this.b&&(this.b=new Tl((dn(),Qa),cc,this,1)),this.b.c.$b();return;case 2:!this.c&&(this.c=new Tl((dn(),Qa),cc,this,2)),this.c.c.$b();return;case 3:!this.a&&(this.a=new is(this,0)),vx(Bc(this.a,(Di(),gN)));return;case 4:!this.a&&(this.a=new is(this,0)),vx(Bc(this.a,(Di(),pN)));return;case 5:!this.a&&(this.a=new is(this,0)),vx(Bc(this.a,(Di(),cA)));return;case 6:!this.a&&(this.a=new is(this,0)),vx(Bc(this.a,(Di(),uA)));return}lh(this,e-Zn((Di(),Gw)),yn(this.j&2?(!this.k&&(this.k=new th),this.k).ck():Gw,e))},l.Ib=function(){var e;return this.j&4?bf(this):(e=new Th(bf(this)),e.a+=" (mixed: ",oC(e,this.a),e.a+=")",e.a)},P(ys,"XMLTypeDocumentRootImpl",669),I(1919,704,{105:1,92:1,90:1,471:1,147:1,56:1,108:1,49:1,97:1,150:1,114:1,115:1,2024:1},Em),l.Ih=function(e,n){switch(e.yj()){case 7:case 8:case 9:case 10:case 16:case 22:case 23:case 24:case 25:case 26:case 32:case 33:case 34:case 36:case 37:case 44:case 45:case 50:case 51:case 53:case 55:case 56:case 57:case 58:case 60:case 61:case 4:return n==null?null:$o(n);case 19:case 28:case 29:case 35:case 38:case 39:case 41:case 46:case 52:case 54:case 5:return Br(n);case 6:return vQe(u(n,190));case 12:case 47:case 49:case 11:return Jle(this,e,n);case 13:return n==null?null:iyn(u(n,240));case 15:case 14:return n==null?null:gen(Xt(ye(n)));case 17:return nae((Di(),n));case 18:return nae(n);case 21:case 20:return n==null?null:pen(u(n,155).a);case 27:return wQe(u(n,190));case 30:return wse((Di(),u(n,15)));case 31:return wse(u(n,15));case 40:return yQe((Di(),n));case 42:return rae((Di(),n));case 43:return rae(n);case 59:case 48:return mQe((Di(),n));default:throw rt(new Pn(HE+e.ne()+kw))}},l.Jh=function(e){var n,r,s,o,h;switch(e.G==-1&&(e.G=(r=Fl(e),r?Fg(r.Mh(),e):-1)),e.G){case 0:return n=new $pt,n;case 1:return s=new vB,s;case 2:return o=new \_qt,o;case 3:return h=new Cqt,h;default:throw rt(new Pn(Rct+e.zb+kw))}},l.Kh=function(e,n){var r,s,o,h,d,w,k,C,M,F,H,V,Y,tt,gt,Lt;switch(e.yj()){case 5:case 52:case 4:return n;case 6:return Nhn(n);case 8:case 7:return n==null?null:xdn(n);case 9:return n==null?null:EI($l((s=$c(n,!0),s.length>0&&(Rr(0,s.length),s.charCodeAt(0)==43)?s.substr(1):s),-128,127)<<24>>24);case 10:return n==null?null:EI($l((o=$c(n,!0),o.length>0&&(Rr(0,o.length),o.charCodeAt(0)==43)?o.substr(1):o),-128,127)<<24>>24);case 11:return Br(pw(this,(Di(),p5e),n));case 12:return Br(pw(this,(Di(),b5e),n));case 13:return n==null?null:new obt($c(n,!0));case 15:case 14:return qbn(n);case 16:return Br(pw(this,(Di(),v5e),n));case 17:return Tie((Di(),n));case 18:return Tie(n);case 28:case 29:case 35:case 38:case 39:case 41:case 54:case 19:return $c(n,!0);case 21:case 20:return Qbn(n);case 22:return Br(pw(this,(Di(),w5e),n));case 23:return Br(pw(this,(Di(),m5e),n));case 24:return Br(pw(this,(Di(),y5e),n));case 25:return Br(pw(this,(Di(),x5e),n));case 26:return Br(pw(this,(Di(),k5e),n));case 27:return Lhn(n);case 30:return Cie((Di(),n));case 31:return Cie(n);case 32:return n==null?null:de($l((M=$c(n,!0),M.length>0&&(Rr(0,M.length),M.charCodeAt(0)==43)?M.substr(1):M),\_a,vi));case 33:return n==null?null:new Np((F=$c(n,!0),F.length>0&&(Rr(0,F.length),F.charCodeAt(0)==43)?F.substr(1):F));case 34:return n==null?null:de($l((H=$c(n,!0),H.length>0&&(Rr(0,H.length),H.charCodeAt(0)==43)?H.substr(1):H),\_a,vi));case 36:return n==null?null:g2(Sq((V=$c(n,!0),V.length>0&&(Rr(0,V.length),V.charCodeAt(0)==43)?V.substr(1):V)));case 37:return n==null?null:g2(Sq((Y=$c(n,!0),Y.length>0&&(Rr(0,Y.length),Y.charCodeAt(0)==43)?Y.substr(1):Y)));case 40:return Vln((Di(),n));case 42:return \_ie((Di(),n));case 43:return \_ie(n);case 44:return n==null?null:new Np((tt=$c(n,!0),tt.length>0&&(Rr(0,tt.length),tt.charCodeAt(0)==43)?tt.substr(1):tt));case 45:return n==null?null:new Np((gt=$c(n,!0),gt.length>0&&(Rr(0,gt.length),gt.charCodeAt(0)==43)?gt.substr(1):gt));case 46:return $c(n,!1);case 47:return Br(pw(this,(Di(),E5e),n));case 59:case 48:return Gln((Di(),n));case 49:return Br(pw(this,(Di(),T5e),n));case 50:return n==null?null:eE($l((Lt=$c(n,!0),Lt.length>0&&(Rr(0,Lt.length),Lt.charCodeAt(0)==43)?Lt.substr(1):Lt),MH,32767)<<16>>16);case 51:return n==null?null:eE($l((h=$c(n,!0),h.length>0&&(Rr(0,h.length),h.charCodeAt(0)==43)?h.substr(1):h),MH,32767)<<16>>16);case 53:return Br(pw(this,(Di(),C5e),n));case 55:return n==null?null:eE($l((d=$c(n,!0),d.length>0&&(Rr(0,d.length),d.charCodeAt(0)==43)?d.substr(1):d),MH,32767)<<16>>16);case 56:return n==null?null:eE($l((w=$c(n,!0),w.length>0&&(Rr(0,w.length),w.charCodeAt(0)==43)?w.substr(1):w),MH,32767)<<16>>16);case 57:return n==null?null:g2(Sq((k=$c(n,!0),k.length>0&&(Rr(0,k.length),k.charCodeAt(0)==43)?k.substr(1):k)));case 58:return n==null?null:g2(Sq((C=$c(n,!0),C.length>0&&(Rr(0,C.length),C.charCodeAt(0)==43)?C.substr(1):C)));case 60:return n==null?null:de($l((r=$c(n,!0),r.length>0&&(Rr(0,r.length),r.charCodeAt(0)==43)?r.substr(1):r),\_a,vi));case 61:return n==null?null:de($l($c(n,!0),\_a,vi));default:throw rt(new Pn(HE+e.ne()+kw))}};var S5e,vLt,A5e,wLt;P(ys,"XMLTypeFactoryImpl",1919),I(586,179,{105:1,92:1,90:1,147:1,191:1,56:1,235:1,108:1,49:1,97:1,150:1,179:1,114:1,115:1,675:1,1945:1,586:1},hXt),l.N=!1,l.O=!1;var L5e=!1;P(ys,"XMLTypePackageImpl",586),I(1852,1,{837:1},ix),l.\_j=function(){return txt(),R5e},P(ys,"XMLTypePackageImpl/1",1852),I(1861,1,ii,h1),l.wj=function(e){return ea(e)},l.xj=function(e){return Pt(Ae,te,2,e,6,1)},P(ys,"XMLTypePackageImpl/10",1861),I(1862,1,ii,wB),l.wj=function(e){return ea(e)},l.xj=function(e){return Pt(Ae,te,2,e,6,1)},P(ys,"XMLTypePackageImpl/11",1862),I(1863,1,ii,mB),l.wj=function(e){return ea(e)},l.xj=function(e){return Pt(Ae,te,2,e,6,1)},P(ys,"XMLTypePackageImpl/12",1863),I(1864,1,ii,yB),l.wj=function(e){return Nm(e)},l.xj=function(e){return Pt(ca,te,333,e,7,1)},P(ys,"XMLTypePackageImpl/13",1864),I(1865,1,ii,xB),l.wj=function(e){return ea(e)},l.xj=function(e){return Pt(Ae,te,2,e,6,1)},P(ys,"XMLTypePackageImpl/14",1865),I(1866,1,ii,kB),l.wj=function(e){return Et(e,15)},l.xj=function(e){return Pt(ph,xy,15,e,0,1)},P(ys,"XMLTypePackageImpl/15",1866),I(1867,1,ii,EB),l.wj=function(e){return Et(e,15)},l.xj=function(e){return Pt(ph,xy,15,e,0,1)},P(ys,"XMLTypePackageImpl/16",1867),I(1868,1,ii,jf),l.wj=function(e){return ea(e)},l.xj=function(e){return 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ea(e)},l.xj=function(e){return Pt(Ae,te,2,e,6,1)},P(ys,"XMLTypePackageImpl/51",1902),I(1903,1,ii,Pk),l.wj=function(e){return Et(e,19)},l.xj=function(e){return Pt(ja,te,19,e,0,1)},P(ys,"XMLTypePackageImpl/52",1903),I(1857,1,ii,Fk),l.wj=function(e){return ea(e)},l.xj=function(e){return Pt(Ae,te,2,e,6,1)},P(ys,"XMLTypePackageImpl/6",1857),I(1858,1,ii,h9),l.wj=function(e){return Et(e,190)},l.xj=function(e){return Pt(Hu,te,190,e,0,2)},P(ys,"XMLTypePackageImpl/7",1858),I(1859,1,ii,LJ),l.wj=function(e){return Om(e)},l.xj=function(e){return Pt(Bs,te,476,e,8,1)},P(ys,"XMLTypePackageImpl/8",1859),I(1860,1,ii,ax),l.wj=function(e){return Et(e,217)},l.xj=function(e){return Pt(E6,te,217,e,0,1)},P(ys,"XMLTypePackageImpl/9",1860);var U1,rp,lA,uU,vt;I(50,60,U0,Fr),P(Vg,"RegEx/ParseException",50),I(820,1,{},VL),l.sl=function(e){return er\*16)throw rt(new Fr(qr((Nr(),Qde))));r=r\*16+o}while(!0);if(this.a!=125)throw rt(new Fr(qr((Nr(),Zde))));if(r>WE)throw rt(new Fr(qr((Nr(),Jde))));e=r}else{if(o=0,this.c!=0||(o=b2(this.a))<0)throw rt(new Fr(qr((Nr(),Gg))));if(r=o,fi(this),this.c!=0||(o=b2(this.a))<0)throw rt(new Fr(qr((Nr(),Gg))));r=r\*16+o,e=r}break;case 117:if(s=0,fi(this),this.c!=0||(s=b2(this.a))<0)throw rt(new Fr(qr((Nr(),Gg))));if(n=s,fi(this),this.c!=0||(s=b2(this.a))<0)throw rt(new Fr(qr((Nr(),Gg))));if(n=n\*16+s,fi(this),this.c!=0||(s=b2(this.a))<0)throw rt(new Fr(qr((Nr(),Gg))));if(n=n\*16+s,fi(this),this.c!=0||(s=b2(this.a))<0)throw rt(new Fr(qr((Nr(),Gg))));n=n\*16+s,e=n;break;case 118:if(fi(this),this.c!=0||(s=b2(this.a))<0)throw rt(new Fr(qr((Nr(),Gg))));if(n=s,fi(this),this.c!=0||(s=b2(this.a))<0)throw rt(new Fr(qr((Nr(),Gg))));if(n=n\*16+s,fi(this),this.c!=0||(s=b2(this.a))<0)throw rt(new Fr(qr((Nr(),Gg))));if(n=n\*16+s,fi(this),this.c!=0||(s=b2(this.a))<0)throw rt(new Fr(qr((Nr(),Gg))));if(n=n\*16+s,fi(this),this.c!=0||(s=b2(this.a))<0)throw rt(new Fr(qr((Nr(),Gg))));if(n=n\*16+s,fi(this),this.c!=0||(s=b2(this.a))<0)throw 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this.\_more=!0,this},reject:function(){if(this.options.backtrack\_lexer)this.\_backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+\`. 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mc=\_r.collection(y.getAllInBox(sr\[0\],sr\[1\],sr\[2\],sr\[3\]));y.redrawHint("select",!0),mc.length>0&&y.redrawHint("eles",!0),\_r.emit({type:"boxend",originalEvent:Qt,position:{x:ir\[0\],y:ir\[1\]}});var Ea=function(zf){return zf.selectable()&&!zf.selected()};\_r.selectionType()==="additive"||Po||\_r.$(g).unmerge(mc).unselect(),mc.emit("box").stdFilter(Ea).select().emit("boxselect"),y.redraw()}if(y.hoverData.dragging&&(y.hoverData.dragging=!1,y.redrawHint("select",!0),y.redrawHint("eles",!0),y.redraw()),!sr\[4\]){y.redrawHint("drag",!0),y.redrawHint("eles",!0);var Ja=Ki&&Ki.grabbed();ft($r),Ja&&(Ki.emit("freeon"),$r.emit("free"),y.dragData.didDrag&&(Ki.emit("dragfreeon"),$r.emit("dragfree")))}}sr\[4\]=0,y.hoverData.down=null,y.hoverData.cxtStarted=!1,y.hoverData.draggingEles=!1,y.hoverData.selecting=!1,y.hoverData.isOverThresholdDrag=!1,y.dragData.didDrag=!1,y.hoverData.dragged=!1,y.hoverData.dragDelta=\[\],y.hoverData.mdownPos=null,y.hoverData.mdownGPos=null}},!1);var ne=function(Qt){if(!y.scrollingPage){var jn=y.cy,\_r=jn.zoom(),ir=jn.pan(),sr=y.projectIntoViewport(Qt.clientX,Qt.clientY),Ia=\[sr\[0\]\*\_r+ir.x,sr\[1\]\*\_r+ir.y\];if(y.hoverData.draggingEles||y.hoverData.dragging||y.hoverData.cxtStarted||zt()){Qt.preventDefault();return}if(jn.panningEnabled()&&jn.userPanningEnabled()&&jn.zoomingEnabled()&&jn.userZoomingEnabled()){Qt.preventDefault(),y.data.wheelZooming=!0,clearTimeout(y.data.wheelTimeout),y.data.wheelTimeout=setTimeout(function(){y.data.wheelZooming=!1,y.redrawHint("eles",!0),y.redraw()},150);var $r;Qt.deltaY!=null?$r=Qt.deltaY/-250:Qt.wheelDeltaY!=null?$r=Qt.wheelDeltaY/1e3:$r=Qt.wheelDelta/1e3,$r=$r\*y.wheelSensitivity;var Ki=Qt.deltaMode===1;Ki&&($r\*=33);var Po=jn.zoom()\*Math.pow(10,$r);Qt.type==="gesturechange"&&(Po=y.gestureStartZoom\*Qt.scale),jn.zoom({level:Po,renderedPosition:{x:Ia\[0\],y:Ia\[1\]}}),jn.emit(Qt.type==="gesturechange"?"pinchzoom":"scrollzoom")}}};y.registerBinding(y.container,"wheel",ne,!0),y.registerBinding(window,"scroll",function(Qt){y.scrollingPage=!0,clearTimeout(y.scrollingPageTimeout),y.scrollingPageTimeout=setTimeout(function(){y.scrollingPage=!1},250)},!0),y.registerBinding(y.container,"gesturestart",function(Qt){y.gestureStartZoom=y.cy.zoom(),y.hasTouchStarted||Qt.preventDefault()},!0),y.registerBinding(y.container,"gesturechange",function(Er){y.hasTouchStarted||ne(Er)},!0),y.registerBinding(y.container,"mouseout",function(Qt){var jn=y.projectIntoViewport(Qt.clientX,Qt.clientY);y.cy.emit({originalEvent:Qt,type:"mouseout",position:{x:jn\[0\],y:jn\[1\]}})},!1),y.registerBinding(y.container,"mouseover",function(Qt){var jn=y.projectIntoViewport(Qt.clientX,Qt.clientY);y.cy.emit({originalEvent:Qt,type:"mouseover",position:{x:jn\[0\],y:jn\[1\]}})},!1);var Pe,pe,bn,ze,Ve,En,Dn,Kn,Sn,Wn,rr,vr,ur,tr=function(Qt,jn,\_r,ir){return Math.sqrt((\_r-Qt)\*(\_r-Qt)+(ir-jn)\*(ir-jn))},wn=function(Qt,jn,\_r,ir){return(\_r-Qt)\*(\_r-Qt)+(ir-jn)\*(ir-jn)},gr;y.registerBinding(y.container,"touchstart",gr=function(Qt){if(y.hasTouchStarted=!0,!!ee(Qt)){kt(),y.touchData.capture=!0,y.data.bgActivePosistion=void 0;var jn=y.cy,\_r=y.touchData.now,ir=y.touchData.earlier;if(Qt.touches\[0\]){var sr=y.projectIntoViewport(Qt.touches\[0\].clientX,Qt.touches\[0\].clientY);\_r\[0\]=sr\[0\],\_r\[1\]=sr\[1\]}if(Qt.touches\[1\]){var sr=y.projectIntoViewport(Qt.touches\[1\].clientX,Qt.touches\[1\].clientY);\_r\[2\]=sr\[0\],\_r\[3\]=sr\[1\]}if(Qt.touches\[2\]){var sr=y.projectIntoViewport(Qt.touches\[2\].clientX,Qt.touches\[2\].clientY);\_r\[4\]=sr\[0\],\_r\[5\]=sr\[1\]}if(Qt.touches\[1\]){y.touchData.singleTouchMoved=!0,ft(y.dragData.touchDragEles);var Ia=y.findContainerClientCoords();Sn=Ia\[0\],Wn=Ia\[1\],rr=Ia\[2\],vr=Ia\[3\],Pe=Qt.touches\[0\].clientX-Sn,pe=Qt.touches\[0\].clientY-Wn,bn=Qt.touches\[1\].clientX-Sn,ze=Qt.touches\[1\].clientY-Wn,ur=0<=Pe&&Pe<=rr&&0<=bn&&bn<=rr&&0<=pe&&pe<=vr&&0<=ze&&ze<=vr;var $r=jn.pan(),Ki=jn.zoom();Ve=tr(Pe,pe,bn,ze),En=wn(Pe,pe,bn,ze),Dn=\[(Pe+bn)/2,(pe+ze)/2\],Kn=\[(Dn\[0\]-$r.x)/Ki,(Dn\[1\]-$r.y)/Ki\];var Po=200,Nc=Po\*Po;if(En=1){for(var kp=y.touchData.startPosition=\[\],qf=0;qf<\_r.length;qf++)kp\[qf\]=ir\[qf\]=\_r\[qf\];var mg=Qt.touches\[0\];y.touchData.startGPosition=\[mg.clientX,mg.clientY\]}}},!1);var fr;y.registerBinding(window,"touchmove",fr=function(Qt){var jn=y.touchData.capture;if(!(!jn&&!ee(Qt))){var \_r=y.selection,ir=y.cy,sr=y.touchData.now,Ia=y.touchData.earlier,$r=ir.zoom();if(Qt.touches\[0\]){var Ki=y.projectIntoViewport(Qt.touches\[0\].clientX,Qt.touches\[0\].clientY);sr\[0\]=Ki\[0\],sr\[1\]=Ki\[1\]}if(Qt.touches\[1\]){var Ki=y.projectIntoViewport(Qt.touches\[1\].clientX,Qt.touches\[1\].clientY);sr\[2\]=Ki\[0\],sr\[3\]=Ki\[1\]}if(Qt.touches\[2\]){var Ki=y.projectIntoViewport(Qt.touches\[2\].clientX,Qt.touches\[2\].clientY);sr\[4\]=Ki\[0\],sr\[5\]=Ki\[1\]}var Po=y.touchData.startGPosition,Nc;if(jn&&Qt.touches\[0\]&&Po){for(var Za=\[\],mc=0;mc=y.touchTapThreshold2}if(jn&&y.touchData.cxt){Qt.preventDefault();var kp=Qt.touches\[0\].clientX-Sn,qf=Qt.touches\[0\].clientY-Wn,mg=Qt.touches\[1\].clientX-Sn,sd=Qt.touches\[1\].clientY-Wn,bv=wn(kp,qf,mg,sd),\_m=bv/En,gx=150,O3=gx\*gx,px=1.5,T9=px\*px;if(\_m>=T9||bv>=O3){y.touchData.cxt=!1,y.data.bgActivePosistion=void 0,y.redrawHint("select",!0);var N3={originalEvent:Qt,type:"cxttapend",position:{x:sr\[0\],y:sr\[1\]}};y.touchData.start?(y.touchData.start.unactivate().emit(N3),y.touchData.start=null):ir.emit(N3)}}if(jn&&y.touchData.cxt){var N3={originalEvent:Qt,type:"cxtdrag",position:{x:sr\[0\],y:sr\[1\]}};y.data.bgActivePosistion=void 0,y.redrawHint("select",!0),y.touchData.start?y.touchData.start.emit(N3):ir.emit(N3),y.touchData.start&&(y.touchData.start.\_private.grabbed=!1),y.touchData.cxtDragged=!0;var $d=y.findNearestElement(sr\[0\],sr\[1\],!0,!0);(!y.touchData.cxtOver||$d!==y.touchData.cxtOver)&&(y.touchData.cxtOver&&y.touchData.cxtOver.emit({originalEvent:Qt,type:"cxtdragout",position:{x:sr\[0\],y:sr\[1\]}}),y.touchData.cxtOver=$d,$d&&$d.emit({originalEvent:Qt,type:"cxtdragover",position:{x:sr\[0\],y:sr\[1\]}}))}else if(jn&&Qt.touches\[2\]&&ir.boxSelectionEnabled())Qt.preventDefault(),y.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,y.touchData.selecting||ir.emit({originalEvent:Qt,type:"boxstart",position:{x:sr\[0\],y:sr\[1\]}}),y.touchData.selecting=!0,y.touchData.didSelect=!0,\_r\[4\]=1,!\_r||\_r.length===0||\_r\[0\]===void 0?(\_r\[0\]=(sr\[0\]+sr\[2\]+sr\[4\])/3,\_r\[1\]=(sr\[1\]+sr\[3\]+sr\[5\])/3,\_r\[2\]=(sr\[0\]+sr\[2\]+sr\[4\])/3+1,\_r\[3\]=(sr\[1\]+sr\[3\]+sr\[5\])/3+1):(\_r\[2\]=(sr\[0\]+sr\[2\]+sr\[4\])/3,\_r\[3\]=(sr\[1\]+sr\[3\]+sr\[5\])/3),y.redrawHint("select",!0),y.redraw();else if(jn&&Qt.touches\[1\]&&!y.touchData.didSelect&&ir.zoomingEnabled()&&ir.panningEnabled()&&ir.userZoomingEnabled()&&ir.userPanningEnabled()){Qt.preventDefault(),y.data.bgActivePosistion=void 0,y.redrawHint("select",!0);var w1=y.dragData.touchDragEles;if(w1){y.redrawHint("drag",!0);for(var zd=0;zd0&&!y.hoverData.draggingEles&&!y.swipePanning&&y.data.bgActivePosistion!=null&&(y.data.bgActivePosistion=void 0,y.redrawHint("select",!0),y.redraw())}},!1);var Jr;y.registerBinding(window,"touchcancel",Jr=function(Qt){var jn=y.touchData.start;y.touchData.capture=!1,jn&&jn.unactivate()});var wi,Ks,ka,Ci;if(y.registerBinding(window,"touchend",wi=function(Qt){var jn=y.touchData.start,\_r=y.touchData.capture;if(\_r)Qt.touches.length===0&&(y.touchData.capture=!1),Qt.preventDefault();else return;var ir=y.selection;y.swipePanning=!1,y.hoverData.draggingEles=!1;var sr=y.cy,Ia=sr.zoom(),$r=y.touchData.now,Ki=y.touchData.earlier;if(Qt.touches\[0\]){var Po=y.projectIntoViewport(Qt.touches\[0\].clientX,Qt.touches\[0\].clientY);$r\[0\]=Po\[0\],$r\[1\]=Po\[1\]}if(Qt.touches\[1\]){var Po=y.projectIntoViewport(Qt.touches\[1\].clientX,Qt.touches\[1\].clientY);$r\[2\]=Po\[0\],$r\[3\]=Po\[1\]}if(Qt.touches\[2\]){var Po=y.projectIntoViewport(Qt.touches\[2\].clientX,Qt.touches\[2\].clientY);$r\[4\]=Po\[0\],$r\[5\]=Po\[1\]}jn&&jn.unactivate();var Nc;if(y.touchData.cxt){if(Nc={originalEvent:Qt,type:"cxttapend",position:{x:$r\[0\],y:$r\[1\]}},jn?jn.emit(Nc):sr.emit(Nc),!y.touchData.cxtDragged){var Za={originalEvent:Qt,type:"cxttap",position:{x:$r\[0\],y:$r\[1\]}};jn?jn.emit(Za):sr.emit(Za)}y.touchData.start&&(y.touchData.start.\_private.grabbed=!1),y.touchData.cxt=!1,y.touchData.start=null,y.redraw();return}if(!Qt.touches\[2\]&&sr.boxSelectionEnabled()&&y.touchData.selecting){y.touchData.selecting=!1;var mc=sr.collection(y.getAllInBox(ir\[0\],ir\[1\],ir\[2\],ir\[3\]));ir\[0\]=void 0,ir\[1\]=void 0,ir\[2\]=void 0,ir\[3\]=void 0,ir\[4\]=0,y.redrawHint("select",!0),sr.emit({type:"boxend",originalEvent:Qt,position:{x:$r\[0\],y:$r\[1\]}});var Ea=function(O3){return O3.selectable()&&!O3.selected()};mc.emit("box").stdFilter(Ea).select().emit("boxselect"),mc.nonempty()&&y.redrawHint("eles",!0),y.redraw()}if(jn!=null&&jn.unactivate(),Qt.touches\[2\])y.data.bgActivePosistion=void 0,y.redrawHint("select",!0);else if(!Qt.touches\[1\]){if(!Qt.touches\[0\]){if(!Qt.touches\[0\]){y.data.bgActivePosistion=void 0,y.redrawHint("select",!0);var Ja=y.dragData.touchDragEles;if(jn!=null){var vl=jn.\_private.grabbed;ft(Ja),y.redrawHint("drag",!0),y.redrawHint("eles",!0),vl&&(jn.emit("freeon"),Ja.emit("free"),y.dragData.didDrag&&(jn.emit("dragfreeon"),Ja.emit("dragfree"))),x(jn,\["touchend","tapend","vmouseup","tapdragout"\],Qt,{x:$r\[0\],y:$r\[1\]}),jn.unactivate(),y.touchData.start=null}else{var zf=y.findNearestElement($r\[0\],$r\[1\],!0,!0);x(zf,\["touchend","tapend","vmouseup","tapdragout"\],Qt,{x:$r\[0\],y:$r\[1\]})}var xp=y.touchData.startPosition\[0\]-$r\[0\],kp=xp\*xp,qf=y.touchData.startPosition\[1\]-$r\[1\],mg=qf\*qf,sd=kp+mg,bv=sd\*Ia\*Ia;y.touchData.singleTouchMoved||(jn||sr.$(":selected").unselect(\["tapunselect"\]),x(jn,\["tap","vclick"\],Qt,{x:$r\[0\],y:$r\[1\]}),Ks=!1,Qt.timeStamp-Ci<=sr.multiClickDebounceTime()?(ka&&clearTimeout(ka),Ks=!0,Ci=null,x(jn,\["dbltap","vdblclick"\],Qt,{x:$r\[0\],y:$r\[1\]})):(ka=setTimeout(function(){Ks||x(jn,\["onetap","voneclick"\],Qt,{x:$r\[0\],y:$r\[1\]})},sr.multiClickDebounceTime()),Ci=Qt.timeStamp)),jn!=null&&!y.dragData.didDrag&&jn.\_private.selectable&&bv"u"){var hi=\[\],gs=function(Qt){return{clientX:Qt.clientX,clientY:Qt.clientY,force:1,identifier:Qt.pointerId,pageX:Qt.pageX,pageY:Qt.pageY,radiusX:Qt.width/2,radiusY:Qt.height/2,screenX:Qt.screenX,screenY:Qt.screenY,target:Qt.target}},qi=function(Qt){return{event:Qt,touch:gs(Qt)}},Si=function(Qt){hi.push(qi(Qt))},Ui=function(Qt){for(var jn=0;jn0)return Sn\[0\]}return null},at=Object.keys(W),lt=0;lt0?et:eF(D,O,g,x,T,A,$)},checkPoint:function(g,x,T,A,D,O,$){var q=xk(A,D),S=2\*q;if(lv(g,x,this.points,O,$,A,D-S,\[0,-1\],T)||lv(g,x,this.points,O,$,A-S,D,\[0,-1\],T))return!0;var G=A/2+2\*T,W=D/2+2\*T,et=\[O-G,$-W,O-G,$,O+G,$,O+G,$-W\];return!!(jd(g,x,et)||C3(g,x,S,S,O+A/2-q,$+D/2-q,T)||C3(g,x,S,S,O-A/2+q,$+D/2-q,T))}}},dv.registerNodeShapes=function(){var y=this.nodeShapes={},g=this;this.generateEllipse(),this.generatePolygon("triangle",nd(3,0)),this.generateRoundPolygon("round-triangle",nd(3,0)),this.generatePolygon("rectangle",nd(4,0)),y.square=y.rectangle,this.generateRoundRectangle(),this.generateCutRectangle(),this.generateBarrel(),this.generateBottomRoundrectangle();{var x=\[0,1,1,0,0,-1,-1,0\];this.generatePolygon("diamond",x),this.generateRoundPolygon("round-diamond",x)}this.generatePolygon("pentagon",nd(5,0)),this.generateRoundPolygon("round-pentagon",nd(5,0)),this.generatePolygon("hexagon",nd(6,0)),this.generateRoundPolygon("round-hexagon",nd(6,0)),this.generatePolygon("heptagon",nd(7,0)),this.generateRoundPolygon("round-heptagon",nd(7,0)),this.generatePolygon("octagon",nd(8,0)),this.generateRoundPolygon("round-octagon",nd(8,0));var T=new Array(20);{var A=CL(5,0),D=CL(5,Math.PI/5),O=.5\*(3-Math.sqrt(5));O\*=1.57;for(var $=0;$=g.deqFastCost\*jt)break}else if(S){if(Mt>=g.deqCost\*at||Mt>=g.deqAvgCost\*et)break}else if(Dt>=g.deqNoDrawCost\*ZL)break;var Zt=g.deq(T,At,ft);if(Zt.length>0)for(var Kt=0;Kt0&&(g.onDeqd(T,lt),!S&&g.shouldRedraw(T,lt,At,ft)&&D())},$=g.priority||wL;A.beforeRender(O,$(T))}}}},ntt=function(){function y(g){var x=arguments.length>1&&arguments\[1\]!==void 0?arguments\[1\]:gm;p(this,y),this.idsByKey=new zb,this.keyForId=new 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this.keyHasChangedFor(x)||this.doesEleInvalidateKey(x)}},{key:"getCachesAt",value:function(x){var T=this.cachesByLvl,A=this.lvls,D=T.get(x);return D||(D=new zb,T.set(x,D),A.push(x)),D}},{key:"getCache",value:function(x,T){return this.getCachesAt(T).get(x)}},{key:"get",value:function(x,T){var A=this.getKey(x),D=this.getCache(A,T);return D!=null&&this.updateKeyMappingFor(x),D}},{key:"getForCachedKey",value:function(x,T){var A=this.keyForId.get(x.id()),D=this.getCache(A,T);return D}},{key:"hasCache",value:function(x,T){return this.getCachesAt(T).has(x)}},{key:"has",value:function(x,T){var A=this.getKey(x);return this.hasCache(A,T)}},{key:"setCache",value:function(x,T,A){A.key=x,this.getCachesAt(T).set(x,A)}},{key:"set",value:function(x,T,A){var D=this.getKey(x);this.setCache(D,T,A),this.updateKeyMappingFor(x)}},{key:"deleteCache",value:function(x,T){this.getCachesAt(T).delete(x)}},{key:"delete",value:function(x,T){var 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fx=\[{name:"null",impl:FB},{name:"base",impl:QL},{name:"canvas",impl:ppt}\],wg=\[{type:"layout",extensions:JJ},{type:"renderer",extensions:fx}\],Tm={},rM={};function b1(y,g,x){var T=x,A=function(ee){Sc("Can not register \`"+g+"\` for \`"+y+"\` since \`"+ee+"\` already exists in the prototype and can not be overridden")};if(y==="core"){if(Fk.prototype\[g\])return A(g);Fk.prototype\[g\]=x}else if(y==="collection"){if(jf.prototype\[g\])return A(g);jf.prototype\[g\]=x}else if(y==="layout"){for(var D=function(ee){this.options=ee,x.call(this,ee),ht(this.\_private)||(this.\_private={}),this.\_private.cy=ee.cy,this.\_private.listeners=\[\],this.createEmitter()},O=D.prototype=Object.create(x.prototype),$=\[\],q=0;q<$.length;q++){var S=$\[q\];O\[S\]=O\[S\]||function(){return this}}O.start&&!O.run?O.run=function(){return this.start(),this}:!O.start&&O.run&&(O.start=function(){return this.run(),this});var G=x.prototype.stop;O.stop=function(){var zt=this.options;if(zt&&zt.animate){var 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it==b.MAX\_VALUE?null:(yt\[0\].getParent().paddingLeft!=null?mt=yt\[0\].getParent().paddingLeft:mt=this.margin,this.left=st-mt,this.top=it-mt,new j(this.left,this.top))},z.prototype.updateBounds=function(it){for(var st=b.MAX\_VALUE,ut=-b.MAX\_VALUE,bt=b.MAX\_VALUE,mt=-b.MAX\_VALUE,yt,dt,ht,wt,X,pt=this.nodes,U=pt.length,xt=0;xtyt&&(st=yt),utht&&(bt=ht),mtyt&&(st=yt),utht&&(bt=ht),mt=this.nodes.length){var U=0;ut.forEach(function(xt){xt.owner==it&&U++}),U==this.nodes.length&&(this.isConnected=!0)}},f.exports=z},function(f,p,v){var m,b=v(1);function E(\_){m=v(5),this.layout=\_,this.graphs=\[\],this.edges=\[\]}E.prototype.addRoot=function(){var \_=this.layout.newGraph(),L=this.layout.newNode(null),N=this.add(\_,L);return this.setRootGraph(N),this.rootGraph},E.prototype.add=function(\_,L,N,B,j){if(N==null&&B==null&&j==null){if(\_==null)throw"Graph is null!";if(L==null)throw"Parent node is null!";if(this.graphs.indexOf(\_)>-1)throw"Graph already in this graph 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mgr";if(!(L==this.rootGraph||L.parent!=null&&L.parent.graphManager==this))throw"Invalid parent node!";var N=\[\];N=N.concat(L.getEdges());for(var B,j=N.length,R=0;R=\_.getRight()?L\[0\]+=Math.min(\_.getX()-E.getX(),E.getRight()-\_.getRight()):\_.getX()<=E.getX()&&\_.getRight()>=E.getRight()&&(L\[0\]+=Math.min(E.getX()-\_.getX(),\_.getRight()-E.getRight())),E.getY()<=\_.getY()&&E.getBottom()>=\_.getBottom()?L\[1\]+=Math.min(\_.getY()-E.getY(),E.getBottom()-\_.getBottom()):\_.getY()<=E.getY()&&\_.getBottom()>=E.getBottom()&&(L\[1\]+=Math.min(E.getY()-\_.getY(),\_.getBottom()-E.getBottom()));var j=Math.abs((\_.getCenterY()-E.getCenterY())/(\_.getCenterX()-E.getCenterX()));\_.getCenterY()===E.getCenterY()&&\_.getCenterX()===E.getCenterX()&&(j=1);var R=j\*L\[0\],z=L\[1\]/j;L\[0\]R)return L\[0\]=N,L\[1\]=K,L\[2\]=j,L\[3\]=pt,!1;if(Bj)return L\[0\]=z,L\[1\]=B,L\[2\]=wt,L\[3\]=R,!1;if(Nj?(L\[0\]=st,L\[1\]=ut,Ot=!0):(L\[0\]=it,L\[1\]=K,Ot=!0):qt===Z&&(N>j?(L\[0\]=z,L\[1\]=K,Ot=!0):(L\[0\]=bt,L\[1\]=ut,Ot=!0)),-Ct===Z?j>N?(L\[2\]=X,L\[3\]=pt,Nt=!0):(L\[2\]=wt,L\[3\]=ht,Nt=!0):Ct===Z&&(j>N?(L\[2\]=dt,L\[3\]=ht,Nt=!0):(L\[2\]=U,L\[3\]=pt,Nt=!0)),Ot&&Nt)return!1;if(N>j?B>R?(Tt=this.getCardinalDirection(qt,Z,4),Ht=this.getCardinalDirection(Ct,Z,2)):(Tt=this.getCardinalDirection(-qt,Z,3),Ht=this.getCardinalDirection(-Ct,Z,1)):B>R?(Tt=this.getCardinalDirection(-qt,Z,1),Ht=this.getCardinalDirection(-Ct,Z,3)):(Tt=this.getCardinalDirection(qt,Z,2),Ht=this.getCardinalDirection(Ct,Z,4)),!Ot)switch(Tt){case 1:Ft=K,It=N+-yt/Z,L\[0\]=It,L\[1\]=Ft;break;case 2:It=bt,Ft=B+mt\*Z,L\[0\]=It,L\[1\]=Ft;break;case 3:Ft=ut,It=N+yt/Z,L\[0\]=It,L\[1\]=Ft;break;case 4:It=st,Ft=B+-mt\*Z,L\[0\]=It,L\[1\]=Ft;break}if(!Nt)switch(Ht){case 1:pn=ht,ke=j+-nt/Z,L\[2\]=ke,L\[3\]=pn;break;case 2:ke=U,pn=R+xt\*Z,L\[2\]=ke,L\[3\]=pn;break;case 3:pn=pt,ke=j+nt/Z,L\[2\]=ke,L\[3\]=pn;break;case 4:ke=X,pn=R+-xt\*Z,L\[2\]=ke,L\[3\]=pn;break}}return!1},b.getCardinalDirection=function(E,\_,L){return E>\_?L:1+L%4},b.getIntersection=function(E,\_,L,N){if(N==null)return this.getIntersection2(E,\_,L);var B=E.x,j=E.y,R=\_.x,z=\_.y,K=L.x,it=L.y,st=N.x,ut=N.y,bt=void 0,mt=void 0,yt=void 0,dt=void 0,ht=void 0,wt=void 0,X=void 0,pt=void 0,U=void 0;return yt=z-j,ht=B-R,X=R\*j-B\*z,dt=ut-it,wt=K-st,pt=st\*it-K\*ut,U=yt\*wt-dt\*ht,U===0?null:(bt=(ht\*pt-wt\*X)/U,mt=(dt\*X-yt\*pt)/U,new m(bt,mt))},b.angleOfVector=function(E,\_,L,N){var B=void 0;return E!==L?(B=Math.atan((N-\_)/(L-E)),L0?1:b<0?-1:0},m.floor=function(b){return b<0?Math.ceil(b):Math.floor(b)},m.ceil=function(b){return b<0?Math.floor(b):Math.ceil(b)},f.exports=m},function(f,p,v){function m(){}m.MAX\_VALUE=2147483647,m.MIN\_VALUE=-2147483648,f.exports=m},function(f,p,v){var m=function(){function B(j,R){for(var z=0;z"u"?"undefined":m(E);return E==null||\_!="object"&&\_!="function"},f.exports=b},function(f,p,v){function m(K){if(Array.isArray(K)){for(var it=0,st=Array(K.length);it0&⁢){for(yt.push(ht\[0\]);yt.length>0&⁢){var wt=yt\[0\];yt.splice(0,1),mt.add(wt);for(var X=wt.getEdges(),bt=0;bt-1&&ht.splice(nt,1)}mt=new Set,dt=new Map}}return K},z.prototype.createDummyNodesForBendpoints=function(K){for(var it=\[\],st=K.source,ut=this.graphManager.calcLowestCommonAncestor(K.source,K.target),bt=0;bt0){for(var ut=this.edgeToDummyNodes.get(st),bt=0;bt=0&&it.splice(pt,1);var U=dt.getNeighborsList();U.forEach(function(Ot){if(st.indexOf(Ot)<0){var Nt=ut.get(Ot),qt=Nt-1;qt==1&&wt.push(Ot),ut.set(Ot,qt)}})}st=st.concat(wt),(it.length==1||it.length==2)&&(bt=!0,mt=it\[0\])}return mt},z.prototype.setGraphManager=function(K){this.graphManager=K},f.exports=z},function(f,p,v){function m(){}m.seed=1,m.x=0,m.nextDouble=function(){return m.x=Math.sin(m.seed++)\*1e4,m.x-Math.floor(m.x)},f.exports=m},function(f,p,v){var m=v(4);function b(E,\_){this.lworldOrgX=0,this.lworldOrgY=0,this.ldeviceOrgX=0,this.ldeviceOrgY=0,this.lworldExtX=1,this.lworldExtY=1,this.ldeviceExtX=1,this.ldeviceExtY=1}b.prototype.getWorldOrgX=function(){return this.lworldOrgX},b.prototype.setWorldOrgX=function(E){this.lworldOrgX=E},b.prototype.getWorldOrgY=function(){return this.lworldOrgY},b.prototype.setWorldOrgY=function(E){this.lworldOrgY=E},b.prototype.getWorldExtX=function(){return this.lworldExtX},b.prototype.setWorldExtX=function(E){this.lworldExtX=E},b.prototype.getWorldExtY=function(){return this.lworldExtY},b.prototype.setWorldExtY=function(E){this.lworldExtY=E},b.prototype.getDeviceOrgX=function(){return this.ldeviceOrgX},b.prototype.setDeviceOrgX=function(E){this.ldeviceOrgX=E},b.prototype.getDeviceOrgY=function(){return this.ldeviceOrgY},b.prototype.setDeviceOrgY=function(E){this.ldeviceOrgY=E},b.prototype.getDeviceExtX=function(){return this.ldeviceExtX},b.prototype.setDeviceExtX=function(E){this.ldeviceExtX=E},b.prototype.getDeviceExtY=function(){return this.ldeviceExtY},b.prototype.setDeviceExtY=function(E){this.ldeviceExtY=E},b.prototype.transformX=function(E){var \_=0,L=this.lworldExtX;return L!=0&&(\_=this.ldeviceOrgX+(E-this.lworldOrgX)\*this.ldeviceExtX/L),\_},b.prototype.transformY=function(E){var \_=0,L=this.lworldExtY;return L!=0&&(\_=this.ldeviceOrgY+(E-this.lworldOrgY)\*this.ldeviceExtY/L),\_},b.prototype.inverseTransformX=function(E){var \_=0,L=this.ldeviceExtX;return L!=0&&(\_=this.lworldOrgX+(E-this.ldeviceOrgX)\*this.lworldExtX/L),\_},b.prototype.inverseTransformY=function(E){var \_=0,L=this.ldeviceExtY;return L!=0&&(\_=this.lworldOrgY+(E-this.ldeviceOrgY)\*this.lworldExtY/L),\_},b.prototype.inverseTransformPoint=function(E){var \_=new m(this.inverseTransformX(E.x),this.inverseTransformY(E.y));return \_},f.exports=b},function(f,p,v){function m(R){if(Array.isArray(R)){for(var z=0,K=Array(R.length);zE.ADAPTATION\_LOWER\_NODE\_LIMIT&&(this.coolingFactor=Math.max(this.coolingFactor\*E.COOLING\_ADAPTATION\_FACTOR,this.coolingFactor-(R-E.ADAPTATION\_LOWER\_NODE\_LIMIT)/(E.ADAPTATION\_UPPER\_NODE\_LIMIT-E.ADAPTATION\_LOWER\_NODE\_LIMIT)\*this.coolingFactor\*(1-E.COOLING\_ADAPTATION\_FACTOR))),this.maxNodeDisplacement=E.MAX\_NODE\_DISPLACEMENT\_INCREMENTAL):(R>E.ADAPTATION\_LOWER\_NODE\_LIMIT?this.coolingFactor=Math.max(E.COOLING\_ADAPTATION\_FACTOR,1-(R-E.ADAPTATION\_LOWER\_NODE\_LIMIT)/(E.ADAPTATION\_UPPER\_NODE\_LIMIT-E.ADAPTATION\_LOWER\_NODE\_LIMIT)\*(1-E.COOLING\_ADAPTATION\_FACTOR)):this.coolingFactor=1,this.initialCoolingFactor=this.coolingFactor,this.maxNodeDisplacement=E.MAX\_NODE\_DISPLACEMENT),this.maxIterations=Math.max(this.getAllNodes().length\*5,this.maxIterations),this.totalDisplacementThreshold=this.displacementThresholdPerNode\*this.getAllNodes().length,this.repulsionRange=this.calcRepulsionRange()},B.prototype.calcSpringForces=function(){for(var R=this.getAllEdges(),z,K=0;K0&&arguments\[0\]!==void 0?arguments\[0\]:!0,z=arguments.length>1&&arguments\[1\]!==void 0?arguments\[1\]:!1,K,it,st,ut,bt=this.getAllNodes(),mt;if(this.useFRGridVariant)for(this.totalIterations%E.GRID\_CALCULATION\_CHECK\_PERIOD==1&&R&&this.updateGrid(),mt=new Set,K=0;Kyt||mt>yt)&&(R.gravitationForceX=-this.gravityConstant\*st,R.gravitationForceY=-this.gravityConstant\*ut)):(yt=z.getEstimatedSize()\*this.compoundGravityRangeFactor,(bt>yt||mt>yt)&&(R.gravitationForceX=-this.gravityConstant\*st\*this.compoundGravityConstant,R.gravitationForceY=-this.gravityConstant\*ut\*this.compoundGravityConstant))},B.prototype.isConverged=function(){var R,z=!1;return this.totalIterations>this.maxIterations/3&&(z=Math.abs(this.totalDisplacement-this.oldTotalDisplacement)<2),R=this.totalDisplacement=bt.length||yt>=bt\[0\].length)){for(var dt=0;dtB}}\]),L}();f.exports=\_},function(f,p,v){var m=function(){function \_(L,N){for(var B=0;B2&&arguments\[2\]!==void 0?arguments\[2\]:1,j=arguments.length>3&&arguments\[3\]!==void 0?arguments\[3\]:-1,R=arguments.length>4&&arguments\[4\]!==void 0?arguments\[4\]:-1;b(this,\_),this.sequence1=L,this.sequence2=N,this.match\_score=B,this.mismatch\_penalty=j,this.gap\_penalty=R,this.iMax=L.length+1,this.jMax=N.length+1,this.grid=new Array(this.iMax);for(var z=0;z=0;L--){var N=this.listeners\[L\];N.event===E&&N.callback===\_&&this.listeners.splice(L,1)}},b.emit=function(E,\_){for(var L=0;LN.coolingFactor\*N.maxNodeDisplacement&&(this.displacementX=N.coolingFactor\*N.maxNodeDisplacement\*E.sign(this.displacementX)),Math.abs(this.displacementY)>N.coolingFactor\*N.maxNodeDisplacement&&(this.displacementY=N.coolingFactor\*N.maxNodeDisplacement\*E.sign(this.displacementY)),this.child==null?this.moveBy(this.displacementX,this.displacementY):this.child.getNodes().length==0?this.moveBy(this.displacementX,this.displacementY):this.propogateDisplacementToChildren(this.displacementX,this.displacementY),N.totalDisplacement+=Math.abs(this.displacementX)+Math.abs(this.displacementY),this.springForceX=0,this.springForceY=0,this.repulsionForceX=0,this.repulsionForceY=0,this.gravitationForceX=0,this.gravitationForceY=0,this.displacementX=0,this.displacementY=0},\_.prototype.propogateDisplacementToChildren=function(N,B){for(var j=this.getChild().getNodes(),R,z=0;z0)this.positionNodesRadially(ht);else{this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation();var wt=new Set(this.getAllNodes()),X=this.nodesWithGravity.filter(function(pt){return wt.has(pt)});this.graphManager.setAllNodesToApplyGravitation(X),this.positionNodesRandomly()}}return this.initSpringEmbedder(),this.runSpringEmbedder(),!0},yt.prototype.tick=function(){if(this.totalIterations++,this.totalIterations===this.maxIterations&&!this.isTreeGrowing&&!this.isGrowthFinished)if(this.prunedNodesAll.length>0)this.isTreeGrowing=!0;else return!0;if(this.totalIterations%j.CONVERGENCE\_CHECK\_PERIOD==0&&!this.isTreeGrowing&&!this.isGrowthFinished){if(this.isConverged())if(this.prunedNodesAll.length>0)this.isTreeGrowing=!0;else return!0;this.coolingCycle++,this.layoutQuality==0?this.coolingAdjuster=this.coolingCycle:this.layoutQuality==1&&(this.coolingAdjuster=this.coolingCycle/3),this.coolingFactor=Math.max(this.initialCoolingFactor-Math.pow(this.coolingCycle,Math.log(100\*(this.initialCoolingFactor-this.finalTemperature))/Math.log(this.maxCoolingCycle))/100\*this.coolingAdjuster,this.finalTemperature),this.animationPeriod=Math.ceil(this.initialAnimationPeriod\*Math.sqrt(this.coolingFactor))}if(this.isTreeGrowing){if(this.growTreeIterations%10==0)if(this.prunedNodesAll.length>0){this.graphManager.updateBounds(),this.updateGrid(),this.growTree(this.prunedNodesAll),this.graphManager.resetAllNodesToApplyGravitation();var ht=new Set(this.getAllNodes()),wt=this.nodesWithGravity.filter(function(U){return ht.has(U)});this.graphManager.setAllNodesToApplyGravitation(wt),this.graphManager.updateBounds(),this.updateGrid(),this.coolingFactor=j.DEFAULT\_COOLING\_FACTOR\_INCREMENTAL}else this.isTreeGrowing=!1,this.isGrowthFinished=!0;this.growTreeIterations++}if(this.isGrowthFinished){if(this.isConverged())return!0;this.afterGrowthIterations%10==0&&(this.graphManager.updateBounds(),this.updateGrid()),this.coolingFactor=j.DEFAULT\_COOLING\_FACTOR\_INCREMENTAL\*((100-this.afterGrowthIterations)/100),this.afterGrowthIterations++}var X=!this.isTreeGrowing&&!this.isGrowthFinished,pt=this.growTreeIterations%10==1&&this.isTreeGrowing||this.afterGrowthIterations%10==1&&this.isGrowthFinished;return this.totalDisplacement=0,this.graphManager.updateBounds(),this.calcSpringForces(),this.calcRepulsionForces(X,pt),this.calcGravitationalForces(),this.moveNodes(),this.animate(),!1},yt.prototype.getPositionsData=function(){for(var ht=this.graphManager.getAllNodes(),wt={},X=0;X1){var Ot;for(Ot=0;Otpt&&(pt=Math.floor(nt.y)),xt=Math.floor(nt.x+B.DEFAULT\_COMPONENT\_SEPERATION)}this.transform(new K(R.WORLD\_CENTER\_X-nt.x/2,R.WORLD\_CENTER\_Y-nt.y/2))},yt.radialLayout=function(ht,wt,X){var pt=Math.max(this.maxDiagonalInTree(ht),B.DEFAULT\_RADIAL\_SEPARATION);yt.branchRadialLayout(wt,null,0,359,0,pt);var U=bt.calculateBounds(ht),xt=new mt;xt.setDeviceOrgX(U.getMinX()),xt.setDeviceOrgY(U.getMinY()),xt.setWorldOrgX(X.x),xt.setWorldOrgY(X.y);for(var nt=0;nt1;){var pn=ke\[0\];ke.splice(0,1);var Me=Z.indexOf(pn);Me>=0&&Z.splice(Me,1),It--,Tt--}wt!=null?Ft=(Z.indexOf(ke\[0\])+1)%It:Ft=0;for(var ve=Math.abs(pt-X)/Tt,Ge=Ft;Ht!=Tt;Ge=++Ge%It){var Ke=Z\[Ge\].getOtherEnd(ht);if(Ke!=wt){var we=(X+Ht\*ve)%360,\_e=(we+ve)%360;yt.branchRadialLayout(Ke,ht,we,\_e,U+xt,xt),Ht++}}},yt.maxDiagonalInTree=function(ht){for(var wt=st.MIN\_VALUE,X=0;Xwt&&(wt=U)}return wt},yt.prototype.calcRepulsionRange=function(){return 2\*(this.level+1)\*this.idealEdgeLength},yt.prototype.groupZeroDegreeMembers=function(){var ht=this,wt={};this.memberGroups={},this.idToDummyNode={};for(var X=\[\],pt=this.graphManager.getAllNodes(),U=0;U"u"&&(wt\[Ot\]=\[\]),wt\[Ot\]=wt\[Ot\].concat(xt)}Object.keys(wt).forEach(function(Nt){if(wt\[Nt\].length>1){var qt="DummyCompound\_"+Nt;ht.memberGroups\[qt\]=wt\[Nt\];var Ct=wt\[Nt\]\[0\].getParent(),Z=new L(ht.graphManager);Z.id=qt,Z.paddingLeft=Ct.paddingLeft||0,Z.paddingRight=Ct.paddingRight||0,Z.paddingBottom=Ct.paddingBottom||0,Z.paddingTop=Ct.paddingTop||0,ht.idToDummyNode\[qt\]=Z;var Tt=ht.getGraphManager().add(ht.newGraph(),Z),Ht=Ct.getChild();Ht.add(Z);for(var It=0;It=0;ht--){var wt=this.compoundOrder\[ht\],X=wt.id,pt=wt.paddingLeft,U=wt.paddingTop;this.adjustLocations(this.tiledMemberPack\[X\],wt.rect.x,wt.rect.y,pt,U)}},yt.prototype.repopulateZeroDegreeMembers=function(){var ht=this,wt=this.tiledZeroDegreePack;Object.keys(wt).forEach(function(X){var pt=ht.idToDummyNode\[X\],U=pt.paddingLeft,xt=pt.paddingTop;ht.adjustLocations(wt\[X\],pt.rect.x,pt.rect.y,U,xt)})},yt.prototype.getToBeTiled=function(ht){var wt=ht.id;if(this.toBeTiled\[wt\]!=null)return this.toBeTiled\[wt\];var X=ht.getChild();if(X==null)return this.toBeTiled\[wt\]=!1,!1;for(var pt=X.getNodes(),U=0;U0)return this.toBeTiled\[wt\]=!1,!1;if(xt.getChild()==null){this.toBeTiled\[xt.id\]=!1;continue}if(!this.getToBeTiled(xt))return this.toBeTiled\[wt\]=!1,!1}return this.toBeTiled\[wt\]=!0,!0},yt.prototype.getNodeDegree=function(ht){ht.id;for(var wt=ht.getEdges(),X=0,pt=0;ptNt&&(Nt=Ct.rect.height)}X+=Nt+ht.verticalPadding}},yt.prototype.tileCompoundMembers=function(ht,wt){var X=this;this.tiledMemberPack=\[\],Object.keys(ht).forEach(function(pt){var U=wt\[pt\];X.tiledMemberPack\[pt\]=X.tileNodes(ht\[pt\],U.paddingLeft+U.paddingRight),U.rect.width=X.tiledMemberPack\[pt\].width,U.rect.height=X.tiledMemberPack\[pt\].height})},yt.prototype.tileNodes=function(ht,wt){var X=B.TILING\_PADDING\_VERTICAL,pt=B.TILING\_PADDING\_HORIZONTAL,U={rows:\[\],rowWidth:\[\],rowHeight:\[\],width:0,height:wt,verticalPadding:X,horizontalPadding:pt};ht.sort(function(Ot,Nt){return Ot.rect.width\*Ot.rect.height>Nt.rect.width\*Nt.rect.height?-1:Ot.rect.width\*Ot.rect.height0&&(nt+=ht.horizontalPadding),ht.rowWidth\[X\]=nt,ht.width0&&(Ot+=ht.verticalPadding);var Nt=0;Ot>ht.rowHeight\[X\]&&(Nt=ht.rowHeight\[X\],ht.rowHeight\[X\]=Ot,Nt=ht.rowHeight\[X\]-Nt),ht.height+=Nt,ht.rows\[X\].push(wt)},yt.prototype.getShortestRowIndex=function(ht){for(var wt=-1,X=Number.MAX\_VALUE,pt=0;ptX&&(wt=pt,X=ht.rowWidth\[pt\]);return wt},yt.prototype.canAddHorizontal=function(ht,wt,X){var pt=this.getShortestRowIndex(ht);if(pt<0)return!0;var U=ht.rowWidth\[pt\];if(U+ht.horizontalPadding+wt<=ht.width)return!0;var xt=0;ht.rowHeight\[pt\]0&&(xt=X+ht.verticalPadding-ht.rowHeight\[pt\]);var nt;ht.width-U>=wt+ht.horizontalPadding?nt=(ht.height+xt)/(U+wt+ht.horizontalPadding):nt=(ht.height+xt)/ht.width,xt=X+ht.verticalPadding;var Ot;return ht.widthxt&&wt!=X){pt.splice(-1,1),ht.rows\[X\].push(U),ht.rowWidth\[wt\]=ht.rowWidth\[wt\]-xt,ht.rowWidth\[X\]=ht.rowWidth\[X\]+xt,ht.width=ht.rowWidth\[instance.getLongestRowIndex(ht)\];for(var nt=Number.MIN\_VALUE,Ot=0;Otnt&&(nt=pt\[Ot\].height);wt>0&&(nt+=ht.verticalPadding);var Nt=ht.rowHeight\[wt\]+ht.rowHeight\[X\];ht.rowHeight\[wt\]=nt,ht.rowHeight\[X\]0)for(var Ht=U;Ht<=xt;Ht++)Tt\[0\]+=this.grid\[Ht\]\[nt-1\].length+this.grid\[Ht\]\[nt\].length-1;if(xt0)for(var Ht=nt;Ht<=Ot;Ht++)Tt\[3\]+=this.grid\[U-1\]\[Ht\].length+this.grid\[U\]\[Ht\].length-1;for(var It=st.MAX\_VALUE,Ft,ke,pn=0;pn0){var Ot;Ot=mt.getGraphManager().add(mt.newGraph(),X),this.processChildrenList(Ot,wt,mt)}}},K.prototype.stop=function(){return this.stopped=!0,this};var st=function(bt){bt("layout","cose-bilkent",K)};typeof cytoscape<"u"&&st(cytoscape),p.exports=st}\])})})(Xjt);var lWe=Xjt.exports;const hWe=B7(lWe);Yjt.use(hWe);function Jjt(i,a,f,p){Wjt.drawNode(i,a,f,p),a.children&&a.children.forEach((v,m)=>{Jjt(i,v,f<0?m:f,p)})}function fWe(i,a){a.edges().map((f,p)=>{const v=f.data();if(f\[0\].\_private.bodyBounds){const m=f\[0\].\_private.rscratch;Ut.trace("Edge: ",p,v),i.insert("path").attr("d",\`M ${m.startX},${m.startY} L ${m.midX},${m.midY} L${m.endX},${m.endY} \`).attr("class","edge section-edge-"+v.section+" edge-depth-"+v.depth)}})}function t$t(i,a,f,p){a.add({group:"nodes",data:{id:i.id,labelText:i.descr,height:i.height,width:i.width,level:p,nodeId:i.id,padding:i.padding,type:i.type},position:{x:i.x,y:i.y}}),i.children&&i.children.forEach(v=>{t$t(v,a,f,p+1),a.add({group:"edges",data:{id:\`${i.id}\_${v.id}\`,source:i.id,target:v.id,depth:p,section:v.section}})})}function dWe(i,a){return new Promise(f=>{const 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Make sure this value matches the UL margin. \*/ li.md-checkbox { list-style-type: none; } li.md-checkbox input\[type=checkbox\] { margin-left: -1.71em; margin-right: 0.7em; } ul.joplin-checklist { list-style:none; } /\* FOR THE RICH TEXT EDITOR \*/ ul.joplin-checklist li::before { content:"\\f14a"; font-family:"Font Awesome 5 Free"; background-size: 16px 16px; pointer-events: all; cursor: pointer; width: 1em; height: 1em; margin-left: -1.3em; position: absolute; color: #32373F; } .joplin-checklist li:not(.checked)::before { content:"\\f0c8"; } .mermaid { background-color: white; width: 640px; } .mermaid-export-graph { visibility: hidden; } .joplin-editable:hover .mermaid-export-graph { visibility: visible; } .mermaid-export-graph:hover { background-color: #CBDAF1 !important; } - # Nextcloud Serverinstallation auf Almalinux 9.x und Debian 12 mit Docker Compose, Nginx als Reverse Proxy und Monitoring von Docker erstellen **Version: 1.2 *2024-01-04 15:00 Simon Rieger*** -1. [Almalinux herunterladen und installieren](#almalinux-herunterladen-und-installieren "#almalinux-herunterladen-und-installieren") - 1.1 [Almalinux herunterladen](#almalinux-herunterladen "#almalinux-herunterladen") - 1.2 [Debian herunterladen](#debian-herunterladen "#debian-herunterladen") - 1.3 [Hardwareanforderungen beachten](#hardwareanforderungen-beachten "#hardwareanforderungen-beachten") - 1.4 [Zeitzone einstellen](#zeitzone-einstellen "#zeitzone-einstellen") - 1.5 [Root-Benutzer deaktivieren und nli-server Benutzer anlegen](#root-benutzer-deaktivieren-und-nli-server-benutzer-anlegen "#root-benutzer-deaktivieren-und-nli-server-benutzer-anlegen") - 1.6 [Netzwerkeinstellungen](#netzwerkeinstellungen "#netzwerkeinstellungen") - 1.7 [Minimalinstallation durchführen](#minimalinstallation-durchfuehren "#minimalinstallation-durchfuehren") - -2. [Distribution starten und Docker Compose einrichten](#distribution-starten-und-docker-compose-einrichten "#distribution-starten-und-docker-compose-einrichten") - 2.1 [Installation unter Almalinux](#installation-unter-almalinux "#installation-unter-almalinux") - 2.2 [Installation unter Vsphere](#nstallation-unter-vsphere "#nstallation-unter-vsphere") - 2.3 [Installation unter Debian](#installation-unter-debian "#installation-unter-debian") - 2.4 [Docker-Daemon Service setzen](#docker-daemon-service-setzen "#docker-daemon-service-setzen") - 2.5 [Chrony einrichten](#chrony-einrichten "#chrony-einrichten") - 2.6 [Einrichten von mehreren Festplatten](#einrichten-von-mehreren-festplatten "#einrichten-von-mehreren-festplatten") - -3. [Installieren von Nextcloud](#installieren-von-der-nextcloud "#installieren-von-der-nextcloud") - 3.1 [Ordnerstrukturen anlegen](#ordnerstrukturen-anlegen "#ordnerstrukturen-anlegen") - 3.2 [Docker-Datei erstellen](#docker-datei-erstellen "#docker-datei-erstellen") - 3.3 [Nextcloud Server starten](#nextcloud-server-starten "#nextcloud-server-starten") - 3.4 [Verbindung zur Nextcloud per Port Forwarding herstellen](#verbindung-zur-nextcloud-per-port-forwarding-herstellen "#verbindung-zur-nextcloud-per-port-forwarding-herstellen") - 3.5 [Reverse Proxy mit Nginx einrichten](#reverse-proxy-mit-nginx-einrichten "#reverse-proxy-mit-nginx-einrichten") - 3.6 [Admin Benutzer für die Nextcloud anlegen](#admin-benutzer-fuer-die-nextcloud-anlegen "#admin-benutzer-fuer-die-nextcloud-anlegen") - 3.7 [Optimierungen](#optimierungen "#optimierungen") - -4. [Nextcloud Cron einrichten](#nextcloud-cron-einrichten "#nextcloud-cron-einrichten") - -5. [Nextcloud Container updaten](#nextcloud-container-updaten "#nextcloud-container-updaten") - 5.1 [Neue Nextcloud Hauptversion verwendet](#neue-nextcloud-hauptversion-verwendet "#neue-nextcloud-hauptversion-verwendet") - 5.2 [Docker Container updaten](#docker-container-updaten "#docker-container-updaten") - -6. [Datenbank und Dateien von einer bereits vorhandenen Instanz migrieren](#datenbank-und-dateien-von-einer-bereits-vorhandenen-instanz-migrieren "#datenbank-und-dateien-von-einer-bereits-vorhandenen-instanz-migrieren") - 6.1 [Weitere Optimierungen an der Datenbank nach der Migration](#weitere-optimierungen-an-der-datenbank-nach-der-migration "#weitere-optimierungen-an-der-datenbank-nach-der-migration") - -7. [Volltextsuche und OCR mit migrieren und installieren](#volltextsuche-und-ocr-mit-migrieren-und-installieren "#volltextsuche-und-ocr-mit-migrieren-und-installieren") - 7.1. [Anpassungen für ImageMagick](#anpassungen-f%C3%BCr-imagemagick "#anpassungen-f%C3%BCr-imagemagick") - 7.2. [Anpassung für Nextcloud](#anpassung-f%C3%BCr-nextcloud "#anpassung-f%C3%BCr-nextcloud") - 7.3. [Anpassungen für ElasticSearch](#anpassungen-f%C3%BCr-elasticsearch "#anpassungen-f%C3%BCr-elasticsearch") - -8. [Quellen](#quellen "#quellen") - +1. [Almalinux herunterladen und installieren](#almalinux-herunterladen-und-installieren) + 1.1 [Almalinux herunterladen](#almalinux-herunterladen) + 1.2 [Debian herunterladen](#debian-herunterladen) + 1.3 [Hardwareanforderungen beachten](#hardwareanforderungen-beachten) + 1.4 [Zeitzone einstellen](#zeitzone-einstellen) + 1.5 [Root-Benutzer deaktivieren und nli-server Benutzer anlegen](#root-benutzer-deaktivieren-und-nli-server-benutzer-anlegen) + 1.6 [Netzwerkeinstellungen](#netzwerkeinstellungen) + 1.7 [Minimalinstallation durchführen](#minimalinstallation-durchfuehren) -- Hinweis: bei der nachfolgenden Anleitung ist der Domainname durch den Namen "webseite" auszutauschen. +2. [Distribution starten und Docker Compose einrichten](#distribution-starten-und-docker-compose-einrichten) + 2.1 [Installation unter Almalinux](#installation-unter-almalinux) + 2.2 [Installation unter Vsphere](#nstallation-unter-vsphere) + 2.3 [Installation unter Debian](#installation-unter-debian) + 2.4 [Docker-Daemon Service setzen](#docker-daemon-service-setzen) + 2.5 [Chrony einrichten](#chrony-einrichten) + 2.6 [Einrichten von mehreren Festplatten](#einrichten-von-mehreren-festplatten) -## Almalinux herunterladen und installieren[](#) +3. [Installieren von Nextcloud](#installieren-von-der-nextcloud) + 3.1 [Ordnerstrukturen anlegen](#ordnerstrukturen-anlegen) + 3.2 [Docker-Datei erstellen](#docker-datei-erstellen) + 3.3 [Nextcloud Server starten](#nextcloud-server-starten) + 3.4 [Verbindung zur Nextcloud per Port Forwarding herstellen](#verbindung-zur-nextcloud-per-port-forwarding-herstellen) + 3.5 [Reverse Proxy mit Nginx einrichten](#reverse-proxy-mit-nginx-einrichten) + 3.6 [Admin Benutzer für die Nextcloud anlegen](#admin-benutzer-fuer-die-nextcloud-anlegen) + 3.7 [Optimierungen](#optimierungen) + +4. [Nextcloud Cron einrichten](#nextcloud-cron-einrichten) + +5. [Nextcloud Container updaten](#nextcloud-container-updaten) + 5.1 [Neue Nextcloud Hauptversion verwendet](#neue-nextcloud-hauptversion-verwendet) + 5.2 [Docker Container updaten](#docker-container-updaten) + +6. [Datenbank und Dateien von einer bereits vorhandenen Instanz migrieren](#datenbank-und-dateien-von-einer-bereits-vorhandenen-instanz-migrieren) + 6.1 [Weitere Optimierungen an der Datenbank nach der Migration](#weitere-optimierungen-an-der-datenbank-nach-der-migration) + +7. [Volltextsuche und OCR mit migrieren und installieren](#volltextsuche-und-ocr-mit-migrieren-und-installieren) + 7.1. [Anpassungen für ImageMagick](#anpassungen-für-imagemagick) + 7.2. [Anpassung für Nextcloud](#anpassung-für-nextcloud) + 7.3. [Anpassungen für ElasticSearch](#anpassungen-für-elasticsearch) + +8. [Quellen](#quellen) + +- Hinweis: bei der nachfolgenden Anleitung ist der Domainname durch den Namen "webseite" auszutauschen. + +## Almalinux herunterladen und installieren Almalinux kann über folgenden Direktlink herunterladen werden: -[Link zum herunterladen von Almalinux](http://almalinux.mirrors.itworxx.de/9/isos/x86_64/AlmaLinux-9-latest-x86_64-minimal.iso "http://almalinux.mirrors.itworxx.de/9/isos/x86_64/AlmaLinux-9-latest-x86_64-minimal.iso") +[Link zum herunterladen von Almalinux](http://almalinux.mirrors.itworxx.de/9/isos/x86_64/AlmaLinux-9-latest-x86_64-minimal.iso) oder Debian unter diesem Link: -[Link zum herunterladen von Debian](https://cdimage.debian.org/debian-cd/current/amd64/iso-cd/debian-12.1.0-amd64-netinst.iso "https://cdimage.debian.org/debian-cd/current/amd64/iso-cd/debian-12.1.0-amd64-netinst.iso") +[Link zum herunterladen von Debian](https://cdimage.debian.org/debian-cd/current/amd64/iso-cd/debian-12.1.0-amd64-netinst.iso) Bitte darauf achten das man eine Festplatte mit mindesten 64 GB als Datenträger, 2 vCPUs und 4 GB RAM einbindet. @@ -83,100 +76,71 @@ Falls das Netzwerk noch statisch eingerichtet werden muss, kann dies unter dem R Bitte noch darauf achten das man eine Minimalinstallation ausgewählt hat und nicht eine normale mit der Standardsoftware von Almalinux, weil sonst der Gnome Desktop mit installiert wird und den brauchen wir nicht für einen Server. -## Distrubtion starten und docker compose einrichten[](#) +## Distrubtion starten und docker compose einrichten Anschließend kann man die VM neustarten und sich per SSH auf dem eben bereits erstellen Benutzer verbinden. -### Installation unter Almalinux[](#) +### Installation unter Almalinux Für die Installation von Docker Compose können wir die Offiziele Dokumentation von CentOS verwenden, da Almalinux mehr oder weniger ein Fork davon ist. -[Link für die Installation von Docker](https://docs.docker.com/engine/install/centos/ "https://docs.docker.com/engine/install/centos/") +[Link für die Installation von Docker](https://docs.docker.com/engine/install/centos/) Um die Packete des Systems upzudaten führen wir folgenden Kommando aus: +~~~ sudo dnf update - -``` -sudo dnf update -``` +~~~ Wir integrieren das Repository nun erstmal in die yum Konfiguration. +~~~ sudo yum install -y yum-utils sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo - -``` -sudo yum install -y yum-utils -sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo -``` +~~~ Danach installieren wir Docker Compose mittels diesen Befehls hier. +~~~ sudo yum install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin +~~~ -``` -sudo yum install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin -``` - -### Installation unter Vsphere[](#) +### Installation unter Vsphere Für die Installation unter Vsphere werden noch die Open-VM-tools benötigt. Diese kann man mit folgendem Befehl installieren. +~~~ dnf install open-vm-tools - -``` -dnf install open-vm-tools -``` +~~~ Nun muss der Befehl noch als Autostart eingerichtet werden mit folgendem Befehl: +~~~ systemctl enable --now vmtoolsd - -``` -systemctl enable --now vmtoolsd -``` +~~~ und man kann dies nun überprüfen mit +~~~ systemctl status vmtoolsd +~~~ -``` -systemctl status vmtoolsd -``` - -### Installation unter Debian[](#) +### Installation unter Debian Für die Installation von Docker Compose können wir die Offiziele Dokumentation von Debian verwenden, -[Link für die Installation von Docker](https://docs.docker.com/engine/install/debian/ "https://docs.docker.com/engine/install/debian/") +[Link für die Installation von Docker](https://docs.docker.com/engine/install/debian/) Um die Packete des Systems upzudaten führen wir folgenden Kommando aus: +~~~ sudo apt update && sudo apt upgrade +~~~ -``` -sudo apt update && sudo apt upgrade -``` -sudo apt-get update -sudo apt-get install ca-certificates curl gnupg - -sudo install -m 0755 -d /etc/apt/keyrings -curl -fsSL https://download.docker.com/linux/debian/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg -sudo chmod a+r /etc/apt/keyrings/docker.gpg - -echo \\ - "deb \[arch="$(dpkg --print-architecture)" signed-by=/etc/apt/keyrings/docker.gpg\] https://download.docker.com/linux/debian \\ - "$(. /etc/os-release && echo "$VERSION\_CODENAME")" stable" | \\ - sudo tee /etc/apt/sources.list.d/docker.list > /dev/null - -sudo apt-get update -sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin - -``` +~~~ sudo apt-get update sudo apt-get install ca-certificates curl gnupg @@ -191,107 +155,54 @@ echo \ sudo apt-get update sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin -``` +~~~ -### Docker-Daemon Service setzen[](#) +### Docker-Daemon Service setzen Und richten Docker als Systemd-Service ein und starten den auch gleichzeitig. +~~~ sudo systemctl enable --now docker - -``` -sudo systemctl enable --now docker -``` +~~~ Anschließend testen wir mit folgendem Befehl, ob Docker ordnungsgemäß funktioniert. +~~~ sudo docker run hello-world +~~~ -``` -sudo docker run hello-world -``` - -## Chrony einrichten[](#) +## Chrony einrichten Um den Zeitserver einzurichten bitte noch folgende Befehle als ROOT ausführen: +~~~ dnf install chrony - -``` -dnf install chrony -``` +~~~ Crony als Systemweiten Service einrichten +~~~ systemctl enable --now chronyd - -``` -systemctl enable --now chronyd -``` +~~~ die Firewall noch ergänzen +~~~ firewall-cmd --permanent --add-service=ntp firewall-cmd --reload - -``` -firewall-cmd --permanent --add-service=ntp -firewall-cmd --reload -``` +~~~ und danach nochmal neustarten +~~~ systemctl restart chronyd +~~~ -``` -systemctl restart chronyd -``` - -## Einrichten von mehreren Festplatten[](#) +## Einrichten von mehreren Festplatten Wenn man die Daten getrennt von dem Betriebssytem haben möchte, formatiert man erstmal die neue Festplatte mit fdisk. Mit folgendem Befehl sehen wir uns die verfügbaren Festplatten genauer an. -fdisk -l - -Disk /dev/sda: 1 TiB, 1099511627776 bytes, 2147483648 sectors -Disk model: Virtual Disk -Units: sectors of 1 \* 512 = 512 bytes -Sector size (logical/physical): 512 bytes / 4096 bytes -I/O size (minimum/optimal): 4096 bytes / 4096 bytes - - -Disk /dev/sdb: 64 GiB, 68719476736 bytes, 134217728 sectors -Disk model: Virtual Disk -Units: sectors of 1 \* 512 = 512 bytes -Sector size (logical/physical): 512 bytes / 4096 bytes -I/O size (minimum/optimal): 4096 bytes / 4096 bytes -Disklabel type: gpt -Disk identifier: 8A25CA1F-8A16-471D-B928-C0EF5BD7B174 - -Device Start End Sectors Size Type -/dev/sdb1 2048 1230847 1228800 600M EFI System -/dev/sdb2 1230848 3327999 2097152 1G Linux filesystem -/dev/sdb3 3328000 134215679 130887680 62.4G Linux LVM - - -Disk /dev/mapper/almalinux-root: 37.63 GiB, 40407924736 bytes, 78921728 sectors -Units: sectors of 1 \* 512 = 512 bytes -Sector size (logical/physical): 512 bytes / 4096 bytes -I/O size (minimum/optimal): 4096 bytes / 4096 bytes - - -Disk /dev/mapper/almalinux-swap: 6.4 GiB, 6874464256 bytes, 13426688 sectors -Units: sectors of 1 \* 512 = 512 bytes -Sector size (logical/physical): 512 bytes / 4096 bytes -I/O size (minimum/optimal): 4096 bytes / 4096 bytes - - -Disk /dev/mapper/almalinux-home: 18.38 GiB, 19730006016 bytes, 38535168 sectors -Units: sectors of 1 \* 512 = 512 bytes -Sector size (logical/physical): 512 bytes / 4096 bytes -I/O size (minimum/optimal): 4096 bytes / 4096 bytes - -``` +~~~ fdisk -l Disk /dev/sda: 1 TiB, 1099511627776 bytes, 2147483648 sectors @@ -331,63 +242,11 @@ Disk /dev/mapper/almalinux-home: 18.38 GiB, 19730006016 bytes, 38535168 sectors Units: sectors of 1 * 512 = 512 bytes Sector size (logical/physical): 512 bytes / 4096 bytes I/O size (minimum/optimal): 4096 bytes / 4096 bytes -``` +~~~ Um **/dev/sdb** handelt es sich die Systempartition, deswegen wählen wir nun mit fdisk die Festplatte **/dev/sda** aus. -\[root@SST-S-440 ~\]# fdisk /dev/sda - -Welcome to fdisk (util-linux 2.37.4). -Changes will remain in memory only, until you decide to write them. -Be careful before using the write command. - -Device does not contain a recognized partition table. -Created a new DOS disklabel with disk identifier 0xbbcd0e1c. - -Command (m for help): p -Disk /dev/sda: 1 TiB, 1099511627776 bytes, 2147483648 sectors -Disk model: Virtual Disk -Units: sectors of 1 \* 512 = 512 bytes -Sector size (logical/physical): 512 bytes / 4096 bytes -I/O size (minimum/optimal): 4096 bytes / 4096 bytes -Disklabel type: dos -Disk identifier: 0xbbcd0e1c - -Command (m for help): n -Partition type - p primary (0 primary, 0 extended, 4 free) - e extended (container for logical partitions) -Select (default p): - -Using default response p. -Partition number (1-4, default 1): -First sector (2048-2147483647, default 2048): -Last sector, +/-sectors or +/-size{K,M,G,T,P} (2048-2147483647, default 2147483647): - -Created a new partition 1 of type 'Linux' and of size 1024 GiB. - -Command (m for help): - - -Command (m for help): p - -Disk /dev/sda: 1 TiB, 1099511627776 bytes, 2147483648 sectors -Disk model: Virtual Disk -Units: sectors of 1 \* 512 = 512 bytes -Sector size (logical/physical): 512 bytes / 4096 bytes -I/O size (minimum/optimal): 4096 bytes / 4096 bytes -Disklabel type: dos -Disk identifier: 0xbbcd0e1c - -Device Boot Start End Sectors Size Id Type -/dev/sda1 2048 2147483647 2147481600 1024G 83 Linux - -Command (m for help): w -The partition table has been altered. -Calling ioctl() to re-read partition table. -Syncing disks. - -``` +~~~ [root@SST-S-440 ~]# fdisk /dev/sda Welcome to fdisk (util-linux 2.37.4). @@ -439,26 +298,11 @@ Command (m for help): w The partition table has been altered. Calling ioctl() to re-read partition table. Syncing disks. -``` +~~~ Und formatiert sie anschließend mit ext4. -\[root@SST-S-440 ~\]# mkfs.ext4 /dev/sda1 -mke2fs 1.46.5 (30-Dec-2021) -Discarding device blocks: done -Creating filesystem with 268435200 4k blocks and 67108864 inodes -Filesystem UUID: 4a3937fd-26b9-4dd2-9937-d441569a5c5e -Superblock backups stored on blocks: - 32768, 98304, 163840, 229376, 294912, 819200, 884736, 1605632, 2654208, - 4096000, 7962624, 11239424, 20480000, 23887872, 71663616, 78675968, - 102400000, 214990848 - -Allocating group tables: done -Writing inode tables: done -Creating journal (262144 blocks): done -Writing superblocks and filesystem accounting information: done - -``` +~~~ [root@SST-S-440 ~]# mkfs.ext4 /dev/sda1 mke2fs 1.46.5 (30-Dec-2021) Discarding device blocks: done @@ -473,149 +317,70 @@ Allocating group tables: done Writing inode tables: done Creating journal (262144 blocks): done Writing superblocks and filesystem accounting information: done -``` +~~~ Damit sie beim nächsten Start automatisch gemounted wird, trägt man die Festplatte noch in die Fstab ein. Davor müssen wir ersteinmal die UUID der Festplatte herausfinden. +~~~ blkid - -``` -blkid -``` +~~~ und danach denn Ordner erstellen und die /etc/fstab bearbeiten. +~~~ mkdir -p /opt/data nano /etc/fstab - -``` -mkdir -p /opt/data -nano /etc/fstab -``` +~~~ mit folgendem Inhalt ergänzen: +~~~ UUID="4a3937fd-26b9-4dd2-9937-d441569a5c5e" /opt/data ext4 defaults 0 0 - -``` -UUID="4a3937fd-26b9-4dd2-9937-d441569a5c5e" /opt/data ext4 defaults 0 0 -``` +~~~ und anschließend mit STRG + X und dann Y abspeicher und den automatischen Mount ausführen. +~~~ mount -a +~~~ -``` -mount -a -``` - -## Installieren von der Nextcloud[](#) +## Installieren von der Nextcloud Zuerst legen wir uns passende Ordner-Strukturen an. +~~~ mkdir -p /opt/containers/nextcloud/{db,app,daten} - -``` -mkdir -p /opt/containers/nextcloud/{db,app,daten} -``` +~~~ und Optional falls man die Daten von Nextcloud wo anders gespeichert haben möchte. +~~~ mkdir -p /opt/data/nextcloud/daten - -``` -mkdir -p /opt/data/nextcloud/daten -``` +~~~ Um den Texteditor Nano und Vim zu installieren, benutzt ihr folgenden Befehl. +~~~ sudo dnf install nano vim bash-completion - -``` -sudo dnf install nano vim bash-completion -``` +~~~ oder für Debian: +~~~ sudo apt install nano vim bash-completion - -``` -sudo apt install nano vim bash-completion -``` +~~~ Nun legen wir die eigentliche Docker Datei an. Hierfür habe ich mir die offizielle Nextcloud Compose genommen und etwas modifiziert. Die Datei könnt ihr mit dem Editor eurer Wahl bearbeiten. -[Offizielle Nextcloud Compose Anleitung](https://hub.docker.com/_/nextcloud/ "https://hub.docker.com/_/nextcloud/") +[Offizielle Nextcloud Compose Anleitung](https://hub.docker.com/_/nextcloud/) +~~~ nano /opt/containers/nextcloud/docker-compose.yml - -``` -nano /opt/containers/nextcloud/docker-compose.yml -``` +~~~ docker-compose.yml -version: '3.3' - -services: - nextcloud-db: - image: mariadb:10.6 - container\_name: nextcloud-db - restart: always - command: --transaction-isolation=READ-COMMITTED --log-bin=binlog --binlog-format=ROW - volumes: - - ./db:/var/lib/mysql - environment: - - MYSQL\_ROOT\_PASSWORD=rootpass - - MYSQL\_PASSWORD=userpass - - MYSQL\_DATABASE=nextcloud - - MYSQL\_USER=nextcloud - - MYSQL\_INITDB\_SKIP\_TZINFO=1 - - MARIADB\_AUTO\_UPGRADE=1 - networks: - - default - ports: - - 127.0.0.1:3306:3306 - - nextcloud-redis: - image: redis:alpine - container\_name: nextcloud-redis - hostname: nextcloud-redis - restart: always - command: redis-server --requirepass redispass - networks: - - default - - nextcloud-app: - image: nextcloud:27 - container\_name: nextcloud-app - restart: always - ports: - - 8080:80 - depends\_on: - - nextcloud-db - - nextcloud-redis - volumes: - - ./app:/var/www/html - - /opt/data/nextcloud/daten:/var/www/html/data - environment: - - MYSQL\_PASSWORD=userpass - - MYSQL\_DATABASE=nextcloud - - MYSQL\_USER=nextcloud - - MYSQL\_HOST=nextcloud-db - - TRUSTED\_PROXIES=10.161.24.10/24 - #- OVERWRITEPROTOCOL=https - #- OVERWRITECLIURL=https://cloud.webseite.com - #- OVERWRITEHOST=cloud.webseite.com - - REDIS\_HOST=nextcloud-redis - - REDIS\_HOST\_PASSWORD=redispass - - PHP\_MEMORY\_LIMIT=2G - - PHP\_UPLOAD\_LIMIT=2G - - NEXTCLOUD\_TRUSTED\_DOMAINS=10.161.24.1 - networks: - - default - -``` +~~~ version: '3.3' services: @@ -675,103 +440,72 @@ services: - NEXTCLOUD_TRUSTED_DOMAINS=10.161.24.1 networks: - default -``` +~~~ Die Umgebgungsvariablen OVERWRITEPROTOCOL, OVERWRITECLIURL und OVERWRITEHOST sollten erst gesetzt worden sein, wenn der Reverse Proxy mit SSL-Zertifikat bereits eingerichtet wurde. Falls eventuell das automatische anlegen der Datenbank, oder die Datenbank nicht von der Nextcloud automatisch übernommen wurde kann mit dem Tool *dos2unix* der Text in das Unix Format konventiert werden. -## Nextcloud Server starten[](#) +## Nextcloud Server starten Den Server startet ihr wie gewohnt mit folgendem Befehl: +~~~ docker compose -f /opt/containers/nextcloud/docker-compose.yml up -d - -``` -docker compose -f /opt/containers/nextcloud/docker-compose.yml up -d -``` +~~~ Falls Probleme auftreten solltet, wechselt in das Verzeichnis wo die Docker Compose Datei liegt und für einen dieser folgenden Befehlen aus. +~~~ cd /opt/containers/nextcloud/ docker compose logs nextcloud-app docker compose logs nextcloud-db docker compose logs nextcloud-redis +~~~ -``` -cd /opt/containers/nextcloud/ - -docker compose logs nextcloud-app -docker compose logs nextcloud-db -docker compose logs nextcloud-redis -``` - -## Verbindung zur Nextcloud per Port Forwarding herstellen[](#) +## Verbindung zur Nextcloud per Port Forwarding herstellen Falls ihr noch nicht auf eure Nextcloud zugreifen könnt, weil sie von einer Firewall blockiert wird, oder auf einem anderem Server liegt könnt ihr mittels Port Forwarding drauf zugreifen. Unter Linux verwendet ihr folgenden Befehl: +~~~ ssh -L 8080:127.0.0.1:8080 server -N - -``` -ssh -L 8080:127.0.0.1:8080 server -N -``` +~~~ Unter Putty fügt ihr fügt ihr folgendes im Connection -> SSH -> Tunnels reiter hinzu. -![2023-07-14-150559_464x454_scrot.png](data:image/png;base64,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) +![2023-07-14-150559_464x454_scrot.png](:/9f283a3d6ac347e480944fa4c0f236ef) -## Reverse Proxy mit Nginx einrichten[](#) +## Reverse Proxy mit Nginx einrichten -Den Reverse Proxy Nginx installieren wir lokal auf das System ohne Docker zu verwenden. +Den Reverse Proxy Nginx installieren wir lokal auf das System ohne Docker zu verwenden. Für das Zertifikat benutzen wir Let´s Encrypt und automatisieren es mit Certbot. Installieren können wir die Packete mit: +~~~ sudo dnf install epel-release sudo dnf install certbot python3-certbot-nginx nginx - -``` -sudo dnf install epel-release - -sudo dnf install certbot python3-certbot-nginx nginx -``` +~~~ oder für Debian: +~~~ sudo apt install python3-certbot-nginx nginx - -``` -sudo apt install python3-certbot-nginx nginx -``` +~~~ und überprüfen danach ob nun Certbot vorhanden ist. +~~~ certbot --version - -``` -certbot --version -``` +~~~ Für Almalinux fügen wir noch ein paar Firewall-Regeln hinzu. -sudo firewall-cmd --permanent --add-port=80/tcp --zone=public -sudo firewall-cmd --permanent --add-port=443/tcp --zone=public -sudo firewall-cmd --reload - -setsebool -P httpd\_can\_network\_connect 1 - -sudo cat /var/log/audit/audit.log | grep nginx | grep denied - -sudo cat /var/log/audit/audit.log | grep nginx | grep denied | audit2allow -M mynginx -sudo semodule -i mynginx.pp - -setsebool -P httpd\_can\_network\_relay 1 - -``` +~~~ sudo firewall-cmd --permanent --add-port=80/tcp --zone=public sudo firewall-cmd --permanent --add-port=443/tcp --zone=public sudo firewall-cmd --reload @@ -784,7 +518,7 @@ sudo cat /var/log/audit/audit.log | grep nginx | grep denied | audit2allow -M my sudo semodule -i mynginx.pp setsebool -P httpd_can_network_relay 1 -``` +~~~ Dann erstellen wir die Konfiguration des Reverse Proxys. Das geht am einfachsten mit dem Tool von DigitalOcean. @@ -792,151 +526,97 @@ Ich habe hier bereits eine vorkonfiguriete Konfiguration erstellt, dort müsst i *Was noch zu beachten ist, das man noch in der Konfiguration bei Debian den Benutzer und die Gruppe für den zu benötigten User noch anpasst.* -[Vorkonfigurierte Nginx Konfiguration](https://www.digitalocean.com/community/tools/nginx?domains.0.server.domain=cloud.webseite.com&domains.0.server.documentRoot=&domains.0.server.redirectSubdomains=false&domains.0.https.letsEncryptEmail=support%40webseite.com&domains.0.php.php=false&domains.0.reverseProxy.reverseProxy=true&domains.0.reverseProxy.proxyPass=http%3A%2F%2F127.0.0.1%3A8080&domains.0.routing.root=false&domains.0.logging.accessLogPath=%2Fvar%2Flog%2Fnginx%2Fcloud.webseite.com-access.log&domains.0.logging.redirectAccessLog=true&domains.0.logging.errorLogPath=%2Fvar%2Flog%2Fnginx%2Fcloud.webseite.com-error.log&domains.0.logging.redirectErrorLog=true&global.nginx.user=nginx&global.nginx.clientMaxBodySize=0&global.app.lang=de "https://www.digitalocean.com/community/tools/nginx?domains.0.server.domain=cloud.webseite.com&domains.0.server.documentRoot=&domains.0.server.redirectSubdomains=false&domains.0.https.letsEncryptEmail=support%40webseite.com&domains.0.php.php=false&domains.0.reverseProxy.reverseProxy=true&domains.0.reverseProxy.proxyPass=http%3A%2F%2F127.0.0.1%3A8080&domains.0.routing.root=false&domains.0.logging.accessLogPath=%2Fvar%2Flog%2Fnginx%2Fcloud.webseite.com-access.log&domains.0.logging.redirectAccessLog=true&domains.0.logging.errorLogPath=%2Fvar%2Flog%2Fnginx%2Fcloud.webseite.com-error.log&domains.0.logging.redirectErrorLog=true&global.nginx.user=nginx&global.nginx.clientMaxBodySize=0&global.app.lang=de") +[Vorkonfigurierte Nginx Konfiguration](https://www.digitalocean.com/community/tools/nginx?domains.0.server.domain=cloud.webseite.com&domains.0.server.documentRoot=&domains.0.server.redirectSubdomains=false&domains.0.https.letsEncryptEmail=support%40webseite.com&domains.0.php.php=false&domains.0.reverseProxy.reverseProxy=true&domains.0.reverseProxy.proxyPass=http%3A%2F%2F127.0.0.1%3A8080&domains.0.routing.root=false&domains.0.logging.accessLogPath=%2Fvar%2Flog%2Fnginx%2Fcloud.webseite.com-access.log&domains.0.logging.redirectAccessLog=true&domains.0.logging.errorLogPath=%2Fvar%2Flog%2Fnginx%2Fcloud.webseite.com-error.log&domains.0.logging.redirectErrorLog=true&global.nginx.user=nginx&global.nginx.clientMaxBodySize=0&global.app.lang=de) Ihr drückt dann einmal auf Als Base64 kopieren und follgt dementsprechend die Anleitung. -![2023-07-14-155745_1350x695_scrot.png](data:image/png;base64,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) +![2023-07-14-155745_1350x695_scrot.png](:/b00434fab4b44ff3884ca1a228aacd88) Hier nochmal die vollständige Anleitung. kopiere einen Base64 String der komprimierten Konfiguration, füge ihn auf der Kommandozeile deines Servers ein und führe ihn aus. Wechsle in das NGINX Konfigurationsverzeichnis deines Servers: - +~~~ cd /etc/nginx - -``` -cd /etc/nginx -``` +~~~ Erstelle ein Backup deiner aktuellen NGINX Konfiguration: - -tar -czvf nginx\_$(date +'%F\_%H-%M-%S').tar.gz nginx.conf sites-available/ sites-enabled/ nginxconfig.io/ - -``` +~~~ tar -czvf nginx_$(date +'%F_%H-%M-%S').tar.gz nginx.conf sites-available/ sites-enabled/ nginxconfig.io/ -``` +~~~ Entpacke das komprimierte Konfigurationsverzeichnis mittels tar: - +~~~ tar -xzvf nginxconfig.io-cloud.webseite.com.tar.gz | xargs chmod 0644 - -``` -tar -xzvf nginxconfig.io-cloud.webseite.com.tar.gz | xargs chmod 0644 -``` +~~~ Erzeuge Diffie-Hellman Schlüssel indem du diesen Befehl auf deinem Server ausführst: - +~~~ openssl dhparam -out /etc/nginx/dhparam.pem 2048 - -``` -openssl dhparam -out /etc/nginx/dhparam.pem 2048 -``` +~~~ Erstelle ein ACME-Challenge Verzeichnis (für Let's Encrypt): - -mkdir -p /var/www/\_letsencrypt -chown nginx /var/www/\_letsencrypt - -``` +~~~ mkdir -p /var/www/_letsencrypt chown nginx /var/www/_letsencrypt -``` +~~~ Kommentiere SSL-relevante Direktiven in deiner Konfiguration aus: - -sed -i -r 's/(listen .\*443)/\\1; #/g; s/(ssl\_(certificate|certificate\_key|trusted\_certificate) )/#;#\\1/g; s/(server \\{)/\\1\\n ssl off;/g' /etc/nginx/sites-available/cloud.webseite.com.conf - -``` +~~~ sed -i -r 's/(listen .*443)/\1; #/g; s/(ssl_(certificate|certificate_key|trusted_certificate) )/#;#\1/g; s/(server \{)/\1\n ssl off;/g' /etc/nginx/sites-available/cloud.webseite.com.conf -``` +~~~ This command will add a temporary ssl off directive to ensure that SSL directives are not active. This may cause NGINX to emit a warning, which is safe to ignore. The directive will be removed once Certbot is configured. Führe einen reload deines NGINX Server aus: - +~~~ sudo nginx -t && sudo systemctl reload nginx - -``` -sudo nginx -t && sudo systemctl reload nginx -``` +~~~ Erhalte SSL Zertifikate von Let's Encrypt mittels Certbot: - -certbot certonly --webroot -d cloud.webseite.com --email support@webseite.com -w /var/www/\_letsencrypt -n --agree-tos --force-renewal - -``` +~~~ certbot certonly --webroot -d cloud.webseite.com --email support@webseite.com -w /var/www/_letsencrypt -n --agree-tos --force-renewal -``` +~~~ Kommentiere SSL-relevante Direktiven in deiner Konfiguration ein: - -sed -i -r -z 's/#?; ?#//g; s/(server \\{)\\n ssl off;/\\1/g' /etc/nginx/sites-available/cloud.webseite.com.conf - -``` +~~~ sed -i -r -z 's/#?; ?#//g; s/(server \{)\n ssl off;/\1/g' /etc/nginx/sites-available/cloud.webseite.com.conf -``` +~~~ Führe einen reload deines NGINX Server aus: - +~~~ sudo nginx -t && sudo systemctl reload nginx - -``` -sudo nginx -t && sudo systemctl reload nginx -``` +~~~ Konfiguriere Certbot um NGINX neu zu laden, wenn die Zertifikate erfolgreich erneuert wurden: - -echo -e '#!/bin/bash\\nnginx -t && systemctl reload nginx' | sudo tee /etc/letsencrypt/renewal-hooks/post/nginx-reload.sh -sudo chmod a+x /etc/letsencrypt/renewal-hooks/post/nginx-reload.sh - -``` +~~~ echo -e '#!/bin/bash\nnginx -t && systemctl reload nginx' | sudo tee /etc/letsencrypt/renewal-hooks/post/nginx-reload.sh sudo chmod a+x /etc/letsencrypt/renewal-hooks/post/nginx-reload.sh -``` +~~~ Jetzt gehts los! 🎉 Lade NGINX neu, um deine neue Konfiguration zu verwenden: - +~~~ sudo nginx -t && sudo systemctl reload nginx - -``` -sudo nginx -t && sudo systemctl reload nginx -``` +~~~ Und damit das zukünftige neuerstellen der Zertifikate möglich ist - +~~~ systemctl enable --now certbot-renew.timer - -``` -systemctl enable --now certbot-renew.timer -``` +~~~ Dann modifizieren wir noch die cloud.webseite.com.conf im nginx Verzeichnis. - +~~~ nano /etc/nginx/sites-available/cloud.webseite.com.conf - -``` -nano /etc/nginx/sites-available/cloud.webseite.com.conf -``` +~~~ cloud.webseite.com.conf Wir fügen noch diese Einträge dort hinzu: - add\_header Strict-Transport-Security "max-age=31536000; includeSubDomains; preload"; - - location /.well-known/carddav { - return 301 $scheme://$host/remote.php/dav; - } - - location /.well-known/caldav { - return 301 $scheme://$host/remote.php/dav; - } - -``` +~~~ add_header Strict-Transport-Security "max-age=31536000; includeSubDomains; preload"; location /.well-known/carddav { @@ -946,75 +626,17 @@ Wir fügen noch diese Einträge dort hinzu: location /.well-known/caldav { return 301 $scheme://$host/remote.php/dav; } -``` +~~~ Und dokumentieren schließlich diesen Bereich aus: +~~~ include nginxconfig.io/security.conf; - -``` - include nginxconfig.io/security.conf; -``` +~~~ So das es schließlich so aussieht: -server { - listen 443 ssl http2; - listen \[::\]:443 ssl http2; - server\_name cloud.webseite.com; - - # SSL - ssl\_certificate /etc/letsencrypt/live/cloud.webseite.com/fullchain.pem; - ssl\_certificate\_key /etc/letsencrypt/live/cloud.webseite.com/privkey.pem; - ssl\_trusted\_certificate /etc/letsencrypt/live/cloud.webseite.com/chain.pem; - - # security - #include nginxconfig.io/security.conf; - add\_header Strict-Transport-Security "max-age=31536000; includeSubDomains; preload"; - - # logging - access\_log /var/log/nginx/cloud.webseite.com-access.log combined buffer=512k flush=1m; - error\_log /var/log/nginx/cloud.webseite.com-error.log warn; - - # reverse proxy - location / { - proxy\_pass http://127.0.0.1:8080; - proxy\_set\_header Host $host; - #proxy\_set\_header X-Real-IP $remote\_addr; - #proxy\_set\_header X-Forwarded-For $proxy\_add\_x\_forwarded\_for; - #proxy\_set\_header X-Forwarded-Proto $scheme; - include nginxconfig.io/proxy.conf; - } - - location /.well-known/carddav { - return 301 $scheme://$host/remote.php/dav; - } - - location /.well-known/caldav { - return 301 $scheme://$host/remote.php/dav; - } - - # additional config - include nginxconfig.io/general.conf; -} - -# HTTP redirect -server { - listen 80; - listen \[::\]:80; - server\_name cloud.webseite.com; - - # logging - access\_log /var/log/nginx/cloud.webseite.com-access.log combined buffer=512k flush=1m; - error\_log /var/log/nginx/cloud.webseite.com-error.log warn; - include nginxconfig.io/letsencrypt.conf; - - location / { - return 301 https://cloud.webseite.com$request\_uri; - } -} - -``` +~~~ server { listen 443 ssl http2; listen [::]:443 ssl http2; @@ -1070,97 +692,74 @@ server { return 301 https://cloud.webseite.com$request_uri; } } -``` +~~~ Und das war es eigentlich schon, wichtig dabei ist das euer Server als A-Record im Domainbestellsystem hinterlegt worden ist. -## Admin Benutzer für die Nextcloud anlegen[](#) +## Admin Benutzer für die Nextcloud anlegen -Wir öffnen dann die Webseite zur Nextcloud: [Link zur Nextcloud](http://127.0.0.1:8080 "http://127.0.0.1:8080") +Wir öffnen dann die Webseite zur Nextcloud: [Link zur Nextcloud](http://127.0.0.1:8080) Wichtig dabei zu beachten ist, wenn der Admin Benutzer angelegt ist, ist nur noch ein Zugriff über den Reverse Proxy mit Nginx auf dem *OVERWRITECLIURL* möglich der dann im vorherigen Schritt eingerichtet wurde. Deswegen ist es auch Sinnvoll erst diesen Schritt erst auszuführen wenn der Nginx auch komplett läuft und auf die FQDN zugreifen kann. -## Optimierungen[](#) +## Optimierungen Wenn ihr oben rechts auf eueren “Buchstaben”. Dann wählt ihr “Einstellungen” -> “Übersicht” aus. Nun solltet ihr feststellen, dass Nextcloud noch “Optimierungsbedarf” sieht. Dies wollen wir nun tun. -![](data:image/png;base64,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)([https://goneuland.de/wp-content/uploads/2022/01/nextcloud23-001.png](https://goneuland.de/wp-content/uploads/2022/01/nextcloud23-001.png "https://goneuland.de/wp-content/uploads/2022/01/nextcloud23-001.png")) +(https://goneuland.de/wp-content/uploads/2022/01/nextcloud23-001.png) -### Standardtelefonregion festlegen[](#) +### Standardtelefonregion festlegen Dazu öffnet ihr folgende Datei: +~~~ nano /opt/containers/nextcloud/app/config/config.php - -``` -nano /opt/containers/nextcloud/app/config/config.php -``` +~~~ Fügt nun folgende Zeile hinzu: - 'default\_phone\_region' => 'DE', - -``` +~~~ 'default_phone_region' => 'DE', -``` +~~~ -Dies setzt die Standardregion auf Deutschland. Beispiele dazu findet ihr [hier](https://docs.nextcloud.com/server/latest/admin_manual/configuration_server/config_sample_php_parameters.html "https://docs.nextcloud.com/server/latest/admin_manual/configuration_server/config_sample_php_parameters.html"). Nun könnt ihr die Datei wieder schließen. +Dies setzt die Standardregion auf Deutschland. Beispiele dazu findet ihr [hier](https://docs.nextcloud.com/server/latest/admin_manual/configuration_server/config_sample_php_parameters.html). Nun könnt ihr die Datei wieder schließen. Bei mir sieht es dann so aus: - 'dbuser' => 'nextcloud', - 'dbpassword' => 'test', - 'installed' => true, - 'default\_phone\_region' => 'DE', -); - -``` +~~~ 'dbuser' => 'nextcloud', 'dbpassword' => 'test', 'installed' => true, 'default_phone_region' => 'DE', ); -``` +~~~ -## Container neu starten[](#) + +## Container neu starten Nun starten wir Nextcloud neu um sicherzugehen, dass alle Einstellungen übernommen werden. +~~~ docker compose -f /opt/containers/nextcloud/docker-compose.yml down docker compose -f /opt/containers/nextcloud/docker-compose.yml up -d - -``` -docker compose -f /opt/containers/nextcloud/docker-compose.yml down - -docker compose -f /opt/containers/nextcloud/docker-compose.yml up -d -``` +~~~ Nun sollte es so aussehen: 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"https://goneuland.de/wp-content/uploads/2022/01/nextcloud23-004.png")) +(https://goneuland.de/wp-content/uploads/2022/01/nextcloud23-004.png) -## Nextcloud Cron einrichten[](#) +## Nextcloud Cron einrichten Nun fügen wir auf unserem Server noch einen Cron Eintrag hinzu. Dieser bewirkt, dass Nextcloud alle 5 Minuten die Hintergrundjobs abarbeitet. Um Cron zu starten gebt ihr folgendes ein: +~~~ crontab -e - -``` -crontab -e -``` +~~~ Beim ersten Start erscheint nun folgende Meldung. Wählt hier “1” aus. -no crontab for root - using an empty one - -Select an editor. To change later, run 'select-editor'. - 1. /bin/nano <---- easiest - 2. /usr/bin/vim.tiny - -Choose 1-2 \[1\]: 1 - -``` +~~~ no crontab for root - using an empty one Select an editor. To change later, run 'select-editor'. @@ -1168,189 +767,79 @@ Select an editor. To change later, run 'select-editor'. 2. /usr/bin/vim.tiny Choose 1-2 [1]: 1 -``` +~~~ Hier fügt ihr nun folgende Zeile hinzu: -\*/5 \* \* \* \* docker exec -u www-data nextcloud-app-1 php cron.php - -``` +~~~ */5 * * * * docker exec -u www-data nextcloud-app-1 php cron.php -``` +~~~ Diese Zeile bewirkt, dass euer Server alle 5 Minuten die “cron.php” Datei ausführt in eurem Nextcloud Container. Nachdem ihr dies eingerichtet habt, könnt ihr dies auch kontrollieren. Geht dazu in eure Nextcloud als Administrator. Wählt dann bei Hintergrundaufgaben noch “Cron (Empfohlen)”. Hier solltet ihr nun folgendes in den Einstellungen sehen. Wichtig ist, dass die “Letzte Aufgabe ausgeführt…” maximal 5 Minuten sein sollte. Wenn dies so ist, dann funktioniert alles. -![](data:image/png;base64,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)([https://goneuland.de/wp-content/uploads/2022/09/nextcloud-cron.png](https://goneuland.de/wp-content/uploads/2022/09/nextcloud-cron.png "https://goneuland.de/wp-content/uploads/2022/09/nextcloud-cron.png")) +(https://goneuland.de/wp-content/uploads/2022/09/nextcloud-cron.png) -## Nextcloud Container updaten[](#) +## Nextcloud Container updaten Man kann den Nextcloud Container Updaten, indem man in folgendes Verzeichnis wechselt und die docker-compose.yml bearbeitet: +~~~ cd /opt/containers/nextcloud nano docker-compose.yml - -``` -cd /opt/containers/nextcloud -nano docker-compose.yml -``` +~~~ Falls man bei dieser Hauptversion bleiben möchte, dann bitte den nächsten Schritt überspringen. -## Neue Nextcloud Hauptversion verwendet[](#) +## Neue Nextcloud Hauptversion verwendet Wichtig dabei zu beachten, wenn man noch die Hauptversion updaten will auch den Tag von Version zu Version hochzuzählen. +~~~ nextcloud-app: image: nextcloud:27 - -``` -nextcloud-app: - image: nextcloud:27 -``` +~~~ In diesem Falle die Version nextcloud:27 zu nextcloud:28, aber nicht von Version 27 zu 29. Eventuell muss man auch die Version der MariaDB Datenbank hochzählen, falls die neue Version die ältere Datenbank nicht mehr unterstützt wird. -Unter folgendem [Link](https://hub.docker.com/_/nextcloud/tags "https://hub.docker.com/_/nextcloud/tags") kann man sich die Tags zu den Nextcloud Versionen anzeigen lassen. +Unter folgendem [Link](https://hub.docker.com/_/nextcloud/tags) kann man sich die Tags zu den Nextcloud Versionen anzeigen lassen. -## Docker Container updaten[](#) +## Docker Container updaten Um nun die neue Version von Nextcloud herunterzuladen machen wir erst einmal ein Backup von den Container, da Backups wichtig und richtig sind. +~~~ cd /opt/containers/ tar -czf nextcloud-backup-$(date "+%F").tar.gz nextcloud/ - -``` -cd /opt/containers/ -tar -czf nextcloud-backup-$(date "+%F").tar.gz nextcloud/ -``` +~~~ nun müssen folgende Befehle ausgeführt werden damit die neuen Images gepulled werden und anschließend ausgeführt werden. +~~~ cd nextcloud docker compose pull docker compose up -d +~~~ -``` -cd nextcloud -docker compose pull -docker compose up -d -``` - -## Datenbank und Dateien von einer bereits vorhandenen Instanz migrieren[](#) +## Datenbank und Dateien von einer bereits vorhandenen Instanz migrieren Hierdurch werden die Nextcloud Datenbank vom alten System gedumpt: +~~~ mysqldump --single-transaction --default-character-set=utf8mb4 -h 127.0.0.1 -u root -p nextcloud > NextCloud-dump-2023-07-24.sql - -``` -mysqldump --single-transaction --default-character-set=utf8mb4 -h 127.0.0.1 -u root -p nextcloud > NextCloud-dump-2023-07-24.sql -``` +~~~ und anschließend auf das neue System hinzugefügt: +~~~ mysql -h 127.0.0.1 -u nextcloud -p nextcloud < NextCloud-dump.sql ./occ upgrade +~~~ -``` -mysql -h 127.0.0.1 -u nextcloud -p nextcloud < NextCloud-dump.sql -./occ upgrade -``` - -Nextcloud or one of the apps require upgrade - only a limited number of commands are available -You may use your browser or the occ upgrade command to do the upgrade -Setting log level to debug -Updating database schema -Updated database -Updating ... -Updated to 1.22.0 -Updating ... -Updated to 2.19.0 -Updating ... -Updated to 27.0.1 -Updating ... -Updated to 1.10.0 -Updating ... - -Fix broken values of calendar objects - - Done - 0/0 \[->--------------------------\] 0% -Clean up old calendar subscriptions from deleted users that were not cleaned-up - Done - 0/0 \[----->----------------------\] 0% -Updated to 1.27.0 -Updating ... -Updated to 2.15.0 -Updating ... -Updated to 1.19.0 -Updating ... -Updated to 1.17.0 -Updating ... -Updated to 1.20.0 -Updating ... -Updated to 1.17.0 -Updating ... -Updated to 2.9.0 -Updating ... -Updated to 1.17.0 -Updating ... -Updated to 1.17.0 -Updating ... -Updated to 2.15.0 -Updating ... -Updated to 1.17.0 -Updating ... -Migrate old user accessibility config - Done - 471/471 \[============================\] 100% -Updated to 2.2.0 -Updating ... -Updated to 2.7.0 -Updating ... -Updated to 1.8.0 -Updating ... -Updated to 7.7.0 -Updating ... -Updated to 1.17.0 -Updating ... -Updated to 2.8.0 -Updating ... -Updated to 1.6.0 -Updating ... -Updated to 2.12.0 -Updating ... -Updated to 2.3.0 -Updating ... -Updated to 1.11.0 -Updating ... -Updated to 1.17.0 -Updating ... -Updated to 1.6.0 -Updating ... -Updated to 1.17.0 -Updating ... -Updated to 1.9.0 -Updating ... -Updated to 1.16.0 -Updating ... -Updated to 1.17.0 -Updating ... -Updated to 1.7.0 -Updating ... -Updated to 2.1.0 -Updating ... -Updated to 1.7.0 -Starting code integrity check... -Finished code integrity check -Update successful -Maintenance mode is kept active -Resetting log level - -``` +~~~ Nextcloud or one of the apps require upgrade - only a limited number of commands are available You may use your browser or the occ upgrade command to do the upgrade Setting log level to debug @@ -1440,83 +929,35 @@ Finished code integrity check Update successful Maintenance mode is kept active Resetting log level -``` +~~~ Und für die Dateien einmal die in den Nextcloud Data-Verzeichnis ableget wurde mit folgendem Befehl die Rechte anlegen: -cd /opt/data/nextcloud/ -cp -Rv /opt/extern-data/nextcloud/data/\* . -chown -cRv www-data:www-data . - -``` +~~~ cd /opt/data/nextcloud/ cp -Rv /opt/extern-data/nextcloud/data/* . chown -cRv www-data:www-data . -``` +~~~ und anschließend die Dateien neu einscannen: +~~~ docker compose exec --user www-data -it nextcloud-app /bin/bash ./occ files:scan --all +~~~ -``` -docker compose exec --user www-data -it nextcloud-app /bin/bash -./occ files:scan --all -``` - -## Weitere Optimierungen an der Datenbank nach der Migration[](#) +## Weitere Optimierungen an der Datenbank nach der Migration Falls noch Probleme im Status mit der Datenbank vorhanden sind, sind diese Befehle auszuführen um die Tabellen zu reparieren: -\[root@SST-S-440 nextcloud\]# docker compose exec --user www-data -it nextcloud-app /bin/bash -www-data@bbb02abc82f0:~/html$ ./occ db:add-missing-indices - -``` +~~~ [root@SST-S-440 nextcloud]# docker compose exec --user www-data -it nextcloud-app /bin/bash www-data@bbb02abc82f0:~/html$ ./occ db:add-missing-indices -``` +~~~ Das Ergebniss sollte dann so aussehen: -Check indices of the share table. -Check indices of the filecache table. -Adding additional size index to the filecache table, this can take some time... -Filecache table updated successfully. -Adding additional size index to the filecache table, this can take some time... -Filecache table updated successfully. -Adding additional path index to the filecache table, this can take some time... -Filecache table updated successfully. -Adding additional parent index to the filecache table, this can take some time... -Filecache table updated successfully. -Check indices of the twofactor\_providers table. -Check indices of the login\_flow\_v2 table. -Check indices of the whats\_new table. -Check indices of the cards table. -Check indices of the cards\_properties table. -Check indices of the calendarobjects\_props table. -Check indices of the schedulingobjects table. -Check indices of the oc\_properties table. -Adding properties\_pathonly\_index index to the oc\_properties table, this can take some time... -oc\_properties table updated successfully. -Check indices of the oc\_jobs table. -Adding job\_lastcheck\_reserved index to the oc\_jobs table, this can take some time... -oc\_properties table updated successfully. -Check indices of the oc\_direct\_edit table. -Adding direct\_edit\_timestamp index to the oc\_direct\_edit table, this can take some time... -oc\_direct\_edit table updated successfully. -Check indices of the oc\_preferences table. -Adding preferences\_app\_key index to the oc\_preferences table, this can take some time... -oc\_properties table updated successfully. -Check indices of the oc\_mounts table. -Adding mounts\_user\_root\_path\_index index to the oc\_mounts table, this can take some time... -oc\_mounts table updated successfully. -Check indices of the oc\_systemtag\_object\_mapping table. -Adding systag\_by\_tagid index to the oc\_systemtag\_object\_mapping table, this can take some time... -oc\_systemtag\_object\_mapping table updated successfully. -Adding additional textstep\_session index to the oc\_text\_steps table, this can take some time... -oc\_text\_steps table updated successfully. - -``` +~~~ Check indices of the share table. Check indices of the filecache table. Adding additional size index to the filecache table, this can take some time... @@ -1554,55 +995,32 @@ Adding systag_by_tagid index to the oc_systemtag_object_mapping table, this can oc_systemtag_object_mapping table updated successfully. Adding additional textstep_session index to the oc_text_steps table, this can take some time... oc_text_steps table updated successfully. -``` +~~~ Und noch ein weiterer Befehl: +~~~ www-data@bbb02abc82f0:~/html$ ./occ db:add-missing-primary-keys - -``` -www-data@bbb02abc82f0:~/html$ ./occ db:add-missing-primary-keys -``` +~~~ Und weitere Anpassungen an der Datenbank mit: +~~~ mysql -h 127.0.0.1 -u nextcloud -p nextcloud - -``` -mysql -h 127.0.0.1 -u nextcloud -p nextcloud -``` +~~~ und folgenden Befehlen: -use nextcloud - -DROP TABLE oc\_textprocessing\_tasks; -DROP TABLE oc\_open\_local\_editor; - -``` +~~~ use nextcloud DROP TABLE oc_textprocessing_tasks; DROP TABLE oc_open_local_editor; -``` +~~~ Dessen Ausgabe so aussehen sollte: -Check primary keys. -Adding primary key to the federated\_reshares table, this can take some time... -federated\_reshares table updated successfully. -Adding primary key to the systemtag\_object\_mapping table, this can take some time... -systemtag\_object\_mapping table updated successfully. -Adding primary key to the comments\_read\_markers table, this can take some time... -comments\_read\_markers table updated successfully. -Adding primary key to the collres\_resources table, this can take some time... -collres\_resources table updated successfully. -Adding primary key to the collres\_accesscache table, this can take some time... -collres\_accesscache table updated successfully. -Adding primary key to the filecache\_extended table, this can take some time... -filecache\_extended table updated successfully. - -``` +~~~ Check primary keys. Adding primary key to the federated_reshares table, this can take some time... federated_reshares table updated successfully. @@ -1616,28 +1034,11 @@ Adding primary key to the collres_accesscache table, this can take some time... collres_accesscache table updated successfully. Adding primary key to the filecache_extended table, this can take some time... filecache_extended table updated successfully. -``` +~~~ Anschließend noch diesen Befehl ausführen und zusätzlich bestätigen: -www-data@bbb02abc82f0:~/html$ ./occ db:convert-filecache-bigint -Following columns will be updated: - -\* federated\_reshares.share\_id -\* filecache.mtime -\* filecache.storage\_mtime -\* filecache\_extended.fileid -\* files\_trash.auto\_id -\* mounts.storage\_id -\* mounts.root\_id -\* mounts.mount\_id -\* share\_external.id -\* share\_external.parent - -This can take up to hours, depending on the number of files in your instance! -Continue with the conversion (y/n)? \[n\] y - -``` +~~~ www-data@bbb02abc82f0:~/html$ ./occ db:convert-filecache-bigint Following columns will be updated: @@ -1654,28 +1055,13 @@ Following columns will be updated: This can take up to hours, depending on the number of files in your instance! Continue with the conversion (y/n)? [n] y -``` +~~~ -## Volltextsuche und OCR mit migrieren und installieren[](#) +## Volltextsuche und OCR mit migrieren und installieren Folgenden Text der Docker Compose Datei hinzufügen: - elasticsearch: - build: ./elasticsearch - container\_name: elasticsearch - restart: unless-stopped - environment: - - discovery.type=single-node - ulimits: - memlock: - soft: -1 - hard: -1 - volumes: - - ./elasticsearch/data:/usr/share/elasticsearch/data - networks: - - default - -``` +~~~ elasticsearch: build: ./elasticsearch container_name: elasticsearch @@ -1690,87 +1076,27 @@ Folgenden Text der Docker Compose Datei hinzufügen: - ./elasticsearch/data:/usr/share/elasticsearch/data networks: - default -``` +~~~ und folgendes beim Nextcloud ändern bzw. ausdokumentieren: -\# image: nextcloud:27 -build: ./nextcloud-app - -``` +~~~ # image: nextcloud:27 build: ./nextcloud-app -``` +~~~ -### Anpassungen für ImageMagick[](#) +### Anpassungen für ImageMagick -ImageMagick wird verwendet um aus PDF Seiten Fotos zu erstellen. Diese können später per OCR erkannt werden. Es gibt derzeit wohl ein kleines Hindernis ([Github Quelle](https://github.com/nextcloud/files_fulltextsearch/issues/100 "https://github.com/nextcloud/files_fulltextsearch/issues/100")) weshalb wir hier noch eine extra Anpassung vornehmen müssen. +ImageMagick wird verwendet um aus PDF Seiten Fotos zu erstellen. Diese können später per OCR erkannt werden. Es gibt derzeit wohl ein kleines Hindernis ([Github Quelle](https://github.com/nextcloud/files_fulltextsearch/issues/100)) weshalb wir hier noch eine extra Anpassung vornehmen müssen. +~~~ mkdir /opt/containers/nextcloud/imagemagick/ nano /opt/containers/nextcloud/imagemagick/policy.xml - -``` -mkdir /opt/containers/nextcloud/imagemagick/ -nano /opt/containers/nextcloud/imagemagick/policy.xml -``` +~~~ Inhalt: - - - - - -\]> - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -``` +~~~ @@ -1824,31 +1150,20 @@ Inhalt: -``` +~~~ -### Anpassung für Nextcloud[](#) +### Anpassung für Nextcloud In der aktuellen Version muss noch GhostScript in den Nextcloud Container hinzugefügt werden. Daher müssen wir uns den Container selbst bauen. +~~~ mkdir /opt/containers/nextcloud/nextcloud-app/ nano /opt/containers/nextcloud/nextcloud-app/Dockerfile - -``` -mkdir /opt/containers/nextcloud/nextcloud-app/ -nano /opt/containers/nextcloud/nextcloud-app/Dockerfile -``` +~~~ Inhalt: -FROM nextcloud -RUN apt-get update -RUN apt-get install -y ghostscript -RUN apt install -y libmagickwand-dev --no-install-recommends -RUN pecl install imagick; exit 0 -RUN docker-php-ext-enable imagick -RUN rm -rf /var/lib/apt/lists/\* - -``` +~~~ FROM nextcloud RUN apt-get update RUN apt-get install -y ghostscript @@ -1856,92 +1171,77 @@ RUN apt install -y libmagickwand-dev --no-install-recommends RUN pecl install imagick; exit 0 RUN docker-php-ext-enable imagick RUN rm -rf /var/lib/apt/lists/* -``` +~~~ -### Anpassungen für ElasticSearch[](#) +### Anpassungen für ElasticSearch -Um die OCR Erkennung in ElasticSearch zu realisieren benötigen wir noch das Programm [Tesseract](https://tesseract-ocr.github.io/tessdoc/4.0-Docker-Containers.html "https://tesseract-ocr.github.io/tessdoc/4.0-Docker-Containers.html"). Daher müssen wir uns den ElasticSearch Container auch selbst bauen. +Um die OCR Erkennung in ElasticSearch zu realisieren benötigen wir noch das Programm [Tesseract](https://tesseract-ocr.github.io/tessdoc/4.0-Docker-Containers.html). Daher müssen wir uns den ElasticSearch Container auch selbst bauen. +~~~ mkdir /opt/containers/nextcloud/elasticsearch/ nano /opt/containers/nextcloud/elasticsearch/Dockerfile - -``` -mkdir /opt/containers/nextcloud/elasticsearch/ -nano /opt/containers/nextcloud/elasticsearch/Dockerfile -``` +~~~ Inhalt: +~~~ FROM elasticsearch:7.17.10 RUN /usr/share/elasticsearch/bin/elasticsearch-plugin install --batch ingest-attachment RUN apt-get update RUN apt-get upgrade -y RUN apt-get install -y tesseract-ocr tesseract-ocr-deu tesseract-ocr-eng +~~~ -``` -FROM elasticsearch:7.17.10 -RUN /usr/share/elasticsearch/bin/elasticsearch-plugin install --batch ingest-attachment -RUN apt-get update -RUN apt-get upgrade -y -RUN apt-get install -y tesseract-ocr tesseract-ocr-deu tesseract-ocr-eng -``` - -Hier könnt ihr noch weitere Sprachen installieren zur OCR Erkennung. Eine Übersicht alles Sprachen findet ihr [hier](https://download.opensuse.org/repositories/home:/Alexander_Pozdnyakov/CentOS_8/noarch/ "https://download.opensuse.org/repositories/home:/Alexander_Pozdnyakov/CentOS_8/noarch/"). +Hier könnt ihr noch weitere Sprachen installieren zur OCR Erkennung. Eine Übersicht alles Sprachen findet ihr [hier](https://download.opensuse.org/repositories/home:/Alexander_Pozdnyakov/CentOS_8/noarch/). Folgende Plugins müssen installiert werden: -![d5dbd79976bd4b09aca92ff565795085.png](data:image/png;base64,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) +![d5dbd79976bd4b09aca92ff565795085.png](:/a944db696f7943099e20bc9c8ae93516) Und folgende Einstellungen gesetzt werden: -![81cca748e213ab2eb7c78c4c3b6f9989.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAwsAAAJBCAIAAACGcL5TAAAAA3NCSVQICAjb4U/gAAAgAElEQVR4nOzdf1xc933n+89IcutNrnaTFXOYEO1dWwMotx7QJGX9o4oFGhFB1Wx7VanIRuDK4Gla+3rjguIDSrdpdxuYYwPurhv3rscirkEkUFRt81jbQPAYZGv9I2wzgmk2RozsbhQZzsBNunokVeLIc/84Z35wmIFB4rdez0cejzIz3/M9n3OGet76fr/zxRaNRgUAAABJNq12AQAAAGsOCQkAAMCKhAQAAGBFQgIAALAiIQEAAFiRkAAAAKxISAAAAFYkJAAAACsSEgAAgBUJCQAAwIqEBAAAYEVCAgAAsFp/CSnUpR7Lz83Nq+kMrXYpAABgg9qyuOYjPucRv+W5Wz6a/9v/9v5fuf+BqtwrcuvWJSsttcjfD/a+dk1Ehr/y34JVLvcynw4AANyMlmAM6YOfjHd/80+/8ltO5x+8PLqoI69eGT33dHdNjdMXzPgY+96qR+7dbLvlo/l/+nniEQAAWBbXm5D2NL8RNrz5t//x8L2bbSIiZxsPPtijZ9zH9H977OADf35ieHhRZ1Y8dc+PT5wbfbnKtbiSAQAAMnTjY0h2V6X2/N/8STwkNfbO3HCfC9u2AucAAAA3qyVaqe2qeqwmavw49OIrZkTSA4EW9VOFv34sP9fpdH6q8NfVrpA5wjTZcyw/9y51yDzcf8jpdDof7IlnKz3Qpqqq0+l0Op25eTVtgcTIVNBnPO2snRXFQoEWNX6impruxHzfZI/xvNPpuzQ93Bbr1vlgD2u9AQBASkv2XTZ3qdf86ezFH4qISLDd6/3L3g9+Mv7ataiIfPCT8d5//1v3JMWgua4ZB/qc93i/1tvbazwZ/XD4a9575lurNNlzLP//9v5lb/xEw8MnfjuvpmdyVqtbPjr8R79W+7VYt3K28U8O1ixu4RQAALg5LOO3/bf8n4cfPnnmbXO50t82FYuI3PI/vv5ySMRR8fz4xFtaidnUezocDoe/XqGIyIjvkPFtOXOp05unvSIit3Q1WhJPTKT7RONr16K3fDT/Ef8bb4fD4XPN9262RT8cbnx+Vqj64Cfj0T8dejscDr/h99pERKIfDp8ZXJZrBwAA69oyJiRXpVZfUrhNRK5emZi41f4rh0Xkg5+Mh1MHHUOk+xm/iNzy0fw/ra9QRETs7s//6b2bbR/8ZPzFVy+lOGLk5IlhEZEPKpt/16NsExHH3l//bFRExN83e4jIW3//9m0ionjKHzKf+l8/XolVUwAAYH1Z5H5I6U2/d8H8ac8O84dQZ1vHWGJWK+Zi5JLI9jTdTL17VkTkg5+Mf+W3nF+Z/drr/zA998DEef2H7py9VZNt0/j3J6Uw1Wm255aIDKWpAQAA3OyWbAzp0sSQ+dPO/EIRmew59tt/YsSjWz6aL3uajVk2Edlyyz9L380vlqoeAACA67ZEY0ixxUO2TcVNx9wiMv16v7Fu+hH/G3UeRSQy3Vsiw0MLdfTJ2/eIDMstH83/o66MdjzKui3PHA3yng4/5kyxqfd8k3oAAAAp3PgYUiTUpR6rfM54sPs//IcKh0jSkNL5qZ+LiOhjzzUMpe3jnfHYt/nt+w6UiDHL1tozOiUiIlevXJoefqr1ldR7URaVG8uub+lqbPvv/5RcFV/mBwAA1+d6E9LZxnvMbYXu/q1/32t8lezwf/zbv7rfXCdkLK8Wkdf/qNjpdDrv8T7/kXxLH1l7jsb3mbwnth9S1mGfOR93tvHgrzmdTqfzDnfxXTV/EUq3pNrd8E2vsZT7a95YUc67f+vf9166ep0XBwAAbnI3OoZ0y0fzjWzU8+2XtcqkWTFXVd3Xv2gEINum4odPnnn9j3OsByue5//mT+Lrk2LsR9rfPPPCY2Z4Ernlo/mHDx+OfbUtlaKGP/vvJ5uKEx3d8tH8w3/gP/CvbujSAADATcsWjUZXt4KZDP6EyIzItqtXUqwxAgAAWAarn5AAAADWmmXcMRIAAGCdIiEBAABYkZAAAACsSEgAAABWJCQAAAArEhIAAIAVCQkAAMCKhAQAAGBFQgIAALAiIQEAAFiRkAAAAKxISAAAAFYkJAAAACsSEgAAgBUJCQAAwIqEBAAAYEVCAgAAsCIhAQAAWJGQAAAArEhIAAAAViQkAAAAKxISAACAFQkJAADAioQEAABgRUICAACwIiEBAABYkZAAAACsSEgAAABWJCQAAAArEhIAAIAVCQkAAMCKhAQAAGBFQgIAALBa/wlpsqfWWdszKSIiIz6n0ze6ygUBAIB1b8UT0ojPmaS2d2alCwAAAFjISiakSHeNM/f+8eZz4Zg39790p/PBHn0FiwAAAFjQyiWk6d6GE8Pev7nQXuGIP2c/0v5mk63xHl9wxcoAAABY0IolpOBzDUMlmrfQ+rz9yMNe8feNihiDTL6RxGvTvbXJI0zTvbXx6bnkZmlN9hzLz40dEIw/WeusPfWdN325zPQBAIDUViohTY5fiJaUfXZbipe277h383MvLZR4pntr73qx7A1jdu5c8/crcxcISZM9tbv7D5ydMKbzmsYPxUPStc3Df3zf0AHjlW7vcOOXzIXeAAAAIrImvsvmyP/Uh9GFGgWfU6W5uUIxD6l4rCbqH5xvbi74fKNoT8Rm9JJHqkREvN0N5mhWUe1X7x3uf51hJAAAkLBltQuIDS9tX6DN9zcP+3c7G5Of9M5zQOSdcRny3+lUUxyw+VrxjvlPBwAAbm4rlZAc+Xm2xv7XZyoOz5lou3RxSPK+6Eh1VJLN1x46E26Ys4xpPt7ucEPRoqoEAAAQWcFZNvdDvpIh1T9nO8dI9zN+8ZbHo8+F9xITXpcmhsyfHPl5Nv+Ca5WS2Hfmy/zTcAAAAOms3DqkrMO+pmL/wVl7Xgd9uXefiDa/0eAWERH7vgNJKWrEd8gfb+kuf0j8RxLH6oG2+ZdXu0u94j+UWM092dMWYN8lAACQkZVch2Q/0h7e11t7l9OZrkXWYV/TS3cfdPpFRLyn39Iu3PWi+ZK7IXxanOZLIuI9HfbMe7aihnC3OI8kDjgTrrjRKwAAADcHWzS64PfIllXQl3vIHxXbpuKm15I3kwQAAFg1q56QAAAA1pw1sB8SAADAGkNCAgAAsCIhAQAAWJGQAAAArEhIAAAAViQkAAAAqzXwl2sBII2r7S+sdgkANppbKw/KrVsXbMZ+SADWpKtX/vGz5dem+GNBAJbYLXcWbT317IIhiVk2AGvR1a4zxCMAy+GDt0eudp1ZsBkJCcAatTlbWe0SAGxMH+oL/wOMhARgTbp61RhD2pytEJUArDxWagNY04ycdMudRZt3Fax2LQDWq2vnxz54e2RRh5CQAKwDm//Nr36k4fhqVwFgvbr6zLOLTUjMsgEAAFiRkAAAAKxISAAAAFYkJAAAACsSEgAAgBUJCQAAwIqEBAAAYEVCAgAAsCIhAQAAWJGQAAAArEhIAAAAViQkAAAAKxISAACAFQkJAADAioQEAABgRUICrlPQ56ztncm8bc/k0rYUGfE5k+Tm1WR64EIVOH3BJegIANYzEhKwnu1pfiNsmvhGfuPuhULbZE+t0zc6b5fuhnC4wb2kVQLA+kNCAjaKoobwuWZR/fMHIABAJkhIwJJKnvlKOVc14nM6nb4REZHp3tpE25EUbZMaLDDwY3Ls3V/sf8nsKujLjR39YI9unHp345D4DyZqi3TXWKud7q1NqjzRSWx0KtJd42wdGjWeT0ztTfbUZj4/CABrHgkJWDojvtz7x5vPGbNebzaNH7LOecUaNBSJSGTkkseYI3tLK/F/rUef3dl0b+1dL5bFGlw4mNHaIPvOfLnw3oyIyEiffNOo5LT3tcb2EXOQqUS8Z8LGPFqku+bugQNvx6udk9KCvtxD8U7y1MfjAeiZ2pcOTITD4XBv7XBjo7VyANgASEjAkgkO+oubn6xwGI/sRx72Dr34Sjw9fPx/vlh75ELTa+3xBuWPHVVERCTrs2UlZy/OHn+JvPLSkPeRCrPB4Ue9/r7FTZ8VNTQUGT+5yx+KxaZkk68ODHu/eHhbvFr/4OwQNtLnv7e5JtbJQ5r0v2524u1uKDSePdZsVu6oOBk+Gbs0AFj3tqx2AcCGEXlnXPJKtyWe2L7DSA+KiNiGfv+hIW93eFaGGPE5j/hjD7xfnNXbD989K/5hZ/xl26biHZNSuEAESa4h0l1z94lh84USbU7bSxeHxD+UOIPInh26uOP/bJp+74Kc9d/jbEw08P5A5JPzV7CSfCPysx+nffWXPyaxjAgAi0ZCApaKfWe+DLw3I0WJkBQtvt2MNNGS//e53z5VmevrmjA/tkd8zq/teCMcVkRksqd298XZvX3y9j3FzU3tixuVGTl5Itr8RpEY8ejdh8PhdhGRoM/59NzG23cUFzf52o8os5+ejv2QdVueeB+d8722yGIKWkZ7n5WhCwu06f87efX3VqQaABsOs2zAknGXeocbvxRbrBPpPtFoO1Aazx8/+r9+4/mzTd+vzDWXab93QXbmG69Ov94/ZO3Mvu+AbVFLfKZ7a3PvH29uNibmfvjucMmO7cYrwb7nUh3g2FsmJxrn2R2gqNz73NzFSWms+ErteeJRSd7CbQBgfowhAddvSL3TqZo/l2hvnzzcMPENn3O3OS9Vor198vC2WQc4Kp7vuug84vR7T4cbHvXmHjLmuA4dfqREfm7pPOvwydMTzsQkl/d0im2KzjbOanAh3sD9kCZ3mZV4m4rlQqyAR73Og06/0duR9tPv5iYuwdsdnj0t5W54vfnYnlzntaiI2DYVJy2iWrtK8uTV35PRKdnVstqlAFjPbNFodLVrALC8ZkS2Ldxqbbn6zLM/bX4y/vDWR77wkYbjyQ1sX0p94PSTsk2kMyTVfyUiEn0ydTMAN5UF/5MyF7NswMa37uLRdTt/XLaJjE6Z8QgArhsJCcD69idl5g8dvyuF2SLC/BqAJcA6JADr2PnjUpgtToeEJ6XKJSKy99nVrgnAhsAYEoB17D+9NiMiVS75SqmISG3vDN9fA7AkSEgA1rH2t7bF/7RLZ0ja37p51lwBWF4kJADrW/tb2/Y+y+psAEuMhARg3Ru6wOpsAEuMhARgXYpvnH2DbQAgJb7LBmBdevX3+Mu1AJYRCQnAekUAArB8mGUDAACwIiEBAABYkZAAAACsSEgAAABWJKT1LtSpJukK3VBP6Q/XA21tAX3hPrrUzhsoIRPzV5JJnRleSypLdrf1QNt1Hq4H2tTO0Uxaxt/QtIeE2huu904AwEbHd9k2gIKjWlWhiIiEulS1paz+uEdZ5ZJEQp3qqFurdK12HUsu47s97x1QPHXa9Z3/Oo5Me4irxrfx3iAAWBqMIW0orkqtOqd/YJlHcWDgbgPABsYY0kbjKizoGA2JyyUSCbS09EdERAqqtSqX6IG2jk2lnx451R8Rsacf/NADT3VE9939vVPfuhSV7PL6OqNddNNkoKU1+Vg90NbaPyUim7fccd9XHyiM9xDqVDvGRMYeP584XCTU3jBwW535MNSlBgu1KpeEutSO8yIyq9uM6pQUxyZdRFtLv5TX13l0oxhJvpa5PWSX1dd5lHTXvuDdtt4K6x1I8V50SpXR++Jq0ANPdUSP1u9TUjczTxSV7M+V74wfor4g2nHFvBESP5feqQYLjSGx2AXE38pQl3o+7+BU7xkpq6/z2K7zdwkA1i0S0kYVCbR0yAOapohIqFPtHNWqHCJTLw9KvaYpkUBLy0DIU5VmjiWqDwz+rF7TFD3Q1joY8lS6JNWxiqdO84iI6IG2zoBeGP+UdFVp1Z3qqPuJWXNMrs/vH+gM6R6PIhIKni8orJRQl9oh1ZrmMjpp7VK0NOeaK92xIiKhzta/cx/XPIqIKFWaZj6pxq4l3kOwUNMqzdsVcNV50lz7gubciuQ7kPq9uPEa5jYLdbX051Rrx818LDnVRkuHLaqLy7wRRsbyKCKxJUh64KmOaFW8wK5QYaVLREaHf1qvacqN/S4BwDpFQtqAsh2KyNTlyNRYq9ovIiJRyc7RxSHiKKvyKCJid30mO6jrIqn/5W9T9h810oXL7fjulC4uSX1sKDEssSttb3GKy23rGNM9+5RQUC/bXyiRPr3w6GPmR6vi2V+gBkcrXZnVGbmU5tiPDXSqWe6kUY3E+I3Yc5LWJUf0yzJ2XlVjjwt0ESXFtc9/VdkO4/V5bkXq9+LGa7A0m7niSLondk95QX+K5dmRvq7399UfndWhfnlSH2tVB8yHsbtUUG7cwxv6XQKAdYqEtMFEAn1jSnmViJ68ptiw1F9aCrU3DNxWr1UZSSmTr1cpBbuiHSF9n/SNuR+oEokscUUiIvL9qDgilyfNT+xIoKXlcrmmucyRktltzXmthMXdo/jdXvBWzPNe3GANCdu2Tk6/H82Zt02oq2W6VCuf+8Kuasui8tlVLPfvEgCsOazU3kgigZaW/pzqKpeIZOfYxwaX9Zvcuv7jqJJlLCoaHVuotcHuKfn5+Y5X+nOqjeGH7croqdiX3vXAwNgud+G8xyd3le5YR1lVXbV888svjIqITL03nZ2jiIjooeBk1Jbcg5Iz1T943Qutk+72ArdinvfiBmtImIzadHG5d8VPFAn0WSvRA20DjvoU02FKzs7RgfS/LJn+Lq3AXg8AsGIYQ9oAxk6p6ikREckuq9fM4Qi753j1ZTU2NWIvqz/uWeLTKp79u9QOVT0lsvcThdY5Fpe7oKNj9kptEREp+rz9rzvsZea3z12Vx8taWsxJJntZ/fFFLGaZ71hXVdP9naqqjlZrn98/0Nqq9os4lP0OWzRdD9bF5mmlutspb0XyHUj/XlxXDSkYl+aqrA6qrWq/sVJ7j7yfaPDz6eGe/qkpiZWxq1qrjL2meGqqEgXOGdRa/t8lAFh7bNFodOFWwEYQEbGvdg0r6OoVuXXrahdx/a4+8+xPm5+MP7z1kS98pOH4KtYDYF27jv+kMMuGm8fNFI9E1nU8AoBVR0ICAACwIiEBAABYkZAAAACsSEgAAABWJCQAAAArEhIAAIAVCQkAAMCKhAQAAGBFQgIAALAiIQEAAFiRkAAAAKxISAAAAFYkJAAAACsSEgAAgBUJCQAAwIqEBAAAYEVCAgAAsCIhAQAAWJGQAAAArEhIAAAAViQkAAAAKxISAACAFQkJAADAioQEAABgRUICAACwIiEBAABYkZAAAACsSEgAAABWJCQAAAArEhIAAIDVltUuAACu08yV6R9N/Xi1qwCwJnw8+2PbtmYtYYckJADr0syVaRHJ3Z4tt25d7VoArL6ZK9MzV6aXMCQxywZgXfrR1I+3bc0iHgEwbLvll5d2UJmEBAAA1r+l/vcSCQnIRKS7xhmXm1fTM7naFYnIiM/pXPqqgj6n0xdcgo4AYD0jIQGZ8naHDRMX2iscaRpN9tQ6faMrVtOe5jfCsaq+kd+421nbOzNf+wzKczeEww3uJa0SANYfEhKwURQ1hM81i+pfuXwGABsXCQm4TtO9tc4He3TjwYgvN6+mu+fLzt2NQ+I/6IxPVCVNz8WmrowDu2vMebHp3lqnLxiMzZglDwJN99bGD84o9zj27i/2vzRiPAj6cmNHG3WO+DItLzHLlugkVliku8bZOjRqPJ+Y2pvsqXXWronJRwBYCiQkIFP+I7MCR9bhk6d3Njb2zohEup/xP/SN9iMVXw2fay4R75mwMVEV6a65e+DA2+FwOBx+s2n8kM/MLmJ7vc/WlDRb5z/UVxoOh8Phbu9w45eMnDHdW3vXi2XGJNpb2oWDGa0Nsu/MlwvvzYiIjPTJN435t9Pe1xrbR8xBpkzKiwn6cg/FO8lTH48HoGdqXzowEQ6Hw721w42NsZgIABsICQnIVHwdUvjrFYqIiLiPNYvq7+758xP5pxuK5hww+erAsPeLh7eJiIj9yMNe/6CZcqK1/27WSiZv7PCi2q/eO3zxkohEXnlpyPuIeaKsw496/X2Lmz4raoiV5C5/KBabMivPNNLnv7e5JtbJQ5r0vz4TuxUNhbE7UHL24qSIOCpOhk+mXZ4FAOsNO0YCN8BRoWm1d6l5Z8KpljZfujgk/iGnP/HMnh26uDP7d8kP3z0r/uHEwbZNxTsmpXCBCBJ5Z1zySo3QE+muufvEsPlCibbo8qbfuyBn/fc4GxMNvD8Q+WRG5QPAOkdCAm5E8Dk1r6nY/596vSfNwZgk23cUFzf52o8os5+ezqjnT96+p7i5Kf2X5lIaOXki2vxGkRjx6N2Hw+F2EZGgz/n03MYLlZd1W554H53zvbbIYgoCgPWKWTbgukW6aw5Jd8OR9llrdBIce8vkROP8X79Py77vgG1RS3yme2tz7x9vbjYm5n747nDJju3GK8G+51IdsGB5ReXe5+YuTkqDldoANhYSEpCpxEptp9M3IkHf3SeizTVFMiPuhu68E/fW9EyKOCoe9ca/LGY/0n46r+HO5KMyZ6wEvydxcKqV2mcTDe6aeDRpoyb3Q5o07jZe6bt9T6z94spzN7ze/P3K3LW1T+bqiHTXLOXlm19dzGT1/YhvyTfwDPoW2jdrfplv+rVwy6AvN/P/v1jku0Bqxw2KAtjople7gOvwT1/7LzPbc+P/+0nzk5YGFy5cyKSf7zbvqPnrxA2I/HXNjmPdU/HH32me9TAt/ZsPPtj9fkaVzz5qR0Lzd82n3++u2dF8PsM+vtOcOHCJWO7JHAtdbOb1J7Vc6KSZuL53ATeRef6zsOB/UuZiDAnY+OaskLqJuEu9Qy++Ep+svDQxZHu9byg2rjD93oWS39inpDl2KRQ3nwvH91OIj9xEi2/na3/AglRVtc2hqurKnJ2EBGBDKyr3GvsRiIgE+/ze2H4KYmypkHfbNhGRyZ5j+bmWzTnjO3aqXVNJPQatu2VK0Oes7e75smXDz9nsRx72Dk38wNi3c3j4xD3GtGbivMmTTfGNOn2jP/vo3L6CPqfaFYrt9pmi4NlTool9QePlZf38fePJ+SdPk7cztbY897R1/jf1tYiIdNc4D/llSL1zzt6nQZ85ERb0OWu//eqLZg9JE4sZvgvJO7iaf1tw1hzfnHdtsqfW6TPeNaPaubu2prvPWDGaprU+/njyM62PP65pc7+auyxISAA2tk/eHt9nfKTP7y1P7Pw0+erAsPdAkYgEfbv7D5ydCIfD4W45GNuCPL5j55d+6akvv2b0FumuMXfRnHitvH937FPTNnTi4u+Ew+EUX2m0KGoIn2suLm56IxxuKBL9e5di5/X6jxi9JU4RDpe/9Lt/nrKb019pszUZ+4H6zd1ER3x3qXlnwpbakvcFPX3Hv7xmOby3drjx+XnXOcW2M32zOfHVgWubnzv42r3hcDh8rrnE/7SROVJdi+lIe/i0V0q0t8NhcyetFGxDv//CT54YnwiHTye+IpDxu5B12Ndka2wfEZnsedrvPTPrO5ip37Vrm5976dofhMPhhiKZ7q09JKeN0b79L90ZT3gp7jNWVp2mfenxVuPnxx9/vG6l4pGQkABsdPZ9B0qMSBQc9HtL3bJ9R4mx/eali0Pe8kKR6d6n/d5HzUXusTGn7mf8STt2+r56r4iY+ymYu2g69u4vHv++MSARLWk+Nv+f+w367vN7SxNtNouIiOKpS5xX5pxC3A3f9Kbsrrj5SeNAd6lX3hmfuTLd/Yw/vpOnsST/pRGRyVf7pekJM7e56zxKysPn+8pkbDvTrM+WlcRG4zZfe8iMII69+4uHjDG5FNeyKNGS2Dcx43ucRhbzLtiPNDWPP9PdfaIxr3t2Dkvzrm2+9lD9/cYXPoPPqRJ7B+37DpTEd1hdxI3CsnlCq2t9/PEvPd66YqNHBvZDArDBZX22rPild2aubH9nvHjHMeMzsu/7k/LhoL8kN/ZR7j8U3zvT2JxTpDi2XcJsZxuTd9H0XhKZb0nRcONus7W3O5y88bo5mCNBX+4hf9Ts7IDxf3fmL2Jp1PYdxTbj+FkFb881PuYvDueXzzeulTh8IY78PLk451n7znx51/w51bUk+cUH/5TRiUS255bEflzMu+Co+Hf5zkNyOjx3g/u57S3d2obi75SIsTnq7NuW+Y3CMljJoaM4EhKAjc6xt0zUvu//61ekzOcQY6+p+lcvRceLy46Zn4Il2tuzJ8hC3TJ8MZF+fvjusG2H8aP39JxdNOdR3Hxunm0/gz7n0zvOhcMO4+c+8+l3xnVxGyFp+r0LIuWZnSu5YLk0MWTurv7O+Iy4l3+1fpprSbLlln+2+G4X8y5M9nT96JGmyCHfSNj6V4Dmtresvop6z8wzA4ibErNsADY8+8784T++7+i1z+0252s+W2b7SsmJaHmJw3wo1j0/XfsOlPi/Zi67me59+rlNUZFF7qI5r80iMjl+QfI+ZXz8j/SZY1hF5eZfGhYRCT7XMJRJb9e2Zu07UJJY/TPZ87Tfe6DI7O1xc+lxsC2wbNNEKa/lRtkX8y5Euk80/svfqdtb9Uj8ENPC75q7nGVGmIOEBGDjc5d6bZuKf2NvbGbFkf+pD6OJ7/k7Kk5258U22DS/SJW8Y+eTP/9DcwXM7F0041+eug7XxPi7fhcOGl19bUdswi/5FH0H/uqxDDvMOnzyrXhvuy9+0RwRcTdMxPcFPfTzf75sOxukvpYE97HmayfuWuw3wjJ/F4K+u40/IK146k7vbLxnVtxZ+F1zN7zZNH6IzVGRzBaNMrEKYM25+syzP21+Mv7w1ke+8JGG48kNJiYmcnNzV7yu5RMRsa92DUtlI10L1pN5/rOw4H9S5mIMCQDWgo0UKTbSteDmRUICAACwIiEBAABYkZAAAACsSEgAAABW7Bi5ToQ61Y6x+KOCaq3KdZ096YG2TqmK//EB63m61GDhwp1n2GzDmf027KrWKq/zFuiBttbJ/dd1eKi9YeC2unRvYHLDTnXUrVW6RA+0tV4u1arm7IaXcVcAcPMhIa0fic/jUKeqtpXVr4VPttWNSu6kfOMAACAASURBVKtx9oKjsagR6lLVlrL64+nCZiygpKJ46q53C31XjW+RF5z2ZIvvCgBuGsyyrUeuKq1a6R9Y1MZrWHKuSq06p38gtNp1AACWAWNI65TLvasjGJJClzFh0z8lsnnLHfd99YFCkVCXej7vYLT3zJjMNxOkB9o6NpV+euRUf0TEnhgLsf3Tm51q8rGRQEtLf0RkTm+hLrXjvMh5VU06XEKdal9O7GGoUw0WalWFqTpZqM7EIQXVWpUrMSVkTFFVS8fss1vamxeY/fKpsV3V9Y6BlBdrXoJItjEmpwee6ojuu/t7p751KSrZ5QuN07kKCzpGQ+Jyxd6E2LtgTseNPX7e6CRFbfG5zkXWELulqZuZJ4pK9ufKd8bfafUF0Y4ryVOE2WX1dR499u6k/S2a6j0jZfV1HlvKezv3fq6kj2d/bObK9LatWSt+ZgBrz9UrMx/87OPZH1vCLklI65weeKojWqVpioiEOtWuUGGlS0T+/r+O36dpVRJqbxgIlLrSfXxNvTwo9ZqmRAItLQMhjzFdNedYu+e45hERiQRaOgJ6ojdXpVYtc+a5XGVlfR0h3eNRRELBsV3uKokEWlqCn6nXYoGgLWB+nqevMxJo6ZAH4hfWOapV1VQF1cGQp1Q/9d1d9fUuRZLPnqK9Q2Tq5cHPaVqViB4YmHuxxiSdVhm7NFedRySqDwz+rF7TFD3Q1joY8mS2VEjx1Bn3SA+0dQb0Qk+VVt2pjrqfMCNmitoMN1LD3Gahrpb+nGrtuJlrJafaaOmwRXVxVRl/HFsPPNURPepRRGJ/eiHNb9Ho8E/rNU1Jf2/n/vKspG1bs2auTE9MTKz0iQGsSR/P/tjS/pOJhLSO5Sgi+uVJfaxVHTCfsucYH3q/cv8DhSIirjsLO4K6SJqE5Cir8igiYnd9Jjuom+1SHJu0QLkgfW8xdtdnpDOkezxKaHSsrLRKJHTetr8qFn9cpWXf7hjTPfvmrXPqcmRqrFXtFxGRqGTn6CKuqupR9fHW7PL6ujklpGjvEHGUJZYnz7lYm35Zxs6raqyBcWk2Zf9RjyIiisvt+O6ULq75LzfbYY5GJe7RLss9Sl2biIhEbqQGS7OZK45LeuHRx4yoYveUF/SnmIiN9HW9v6/+6KwO0/wWFZQb71naezv3l2eFbduaxRgSgGVCQlqf9MDA+YLSShE9xfzUEv/xbmPWTKtSjAGPDI5QXG5bx9ilwi3ffn//A7HPzcV/fibWRCd6dmTL+UzbZ3Afsq3r3Rd37yKBvjGlvMr8Uph5jzrVFLlkntpusIaEbVsnp9+P5szbJtTVMl2qlc99YYHfouu4twCwvrFSex3SA22t/Up1VaGIKDk7RwcCy/l5peu65CjGoqJg2nQym+LZ+8F3zgUG7GX7tomIZO+KDrTFqgwN9kc/XbBQYMrOsY8NWi4s1Nk6uf+Jevf5jlfmXHGq9guwKzlT/YPXvdA6Emhp6c+prnKJ6PqPo0qWcY9Gx+a0nKe2G6whYTJq08Xl3hU/USTQZ61ED7QNOOpTTIct8FuU6b0NdamdrFsHsFEwhrR+nO9Qz4uIRCW73FzSI6J4aqouq7EZkDnDEUtA8ewvUDvU87J5yx27fnXLB7NfdRUWdHTMXqktIiLuYzt6nr56X4XxyO45Xp2ocle1tnCRsw+xlz16bPNAp15W5xJFPvcJtbUrW6t0JZ/d0r7+uGfBS3NVHi9raTGmuOIrlBcydkpVT4mISHZZ7G1QPPt3qR2qekpk7ycKzeEyl7ugo8NcqZ2+tuuqIQWHLSoirsrqoNqq9hsrtffI+4kGP58e7umfmpKkd6Ey9toCv0XW9yKTewsA650tGo2udg0AlsHVK3Lr1tUu4vpdfebZnzY/GX946yNf+EjD8VWsB8C6dh3/SWGWDdig1nM8AoBVR0ICAACwIiEBAABYkZAAAACsSEgAAABWJCQAAAArEhIAAIAVCQkAAMCKhAQAAGBFQgIAALDi77IBWAeufed/XP3zv1jtKgCsVx+8dm6xh5CQAKwDH7w98sHbI6tdBYCbCLNsAAAAViQkAGvSrbeudgUANqxN//yfL9jGFo1GV6AUAFisK4fuZ2YNwJLbnK38i9f75Nat8zcjIQFYq65eudp1Rv73/17tOgCsc7/0S/Lzn5s/iPyk+re3bc1a8CASEgAAgBXrkAAAAKxISAAAAFYkJAAAACsSEgAAgBUJCQAAwIqEBAAAYEVCAgAAsCIhAQAAWJGQAAAArEhIAAAAViQkAAAAKxISAACAFQkJAADAioQEAABgRUICAACwIiEBAABYkZAAAACsSEgAAABWJCRgkSZ7juXnOuMe7NFXu6IbNN1b6/QFV7sKAFhbSEjAIkz31ube23fg7ETY9OaXsy9NrnZVAIAlt2W1CwDWj8keVc37m3BDYeIpe42vbvUKAgAsF8aQgEwFn28UzVuY+sVId43zqdZXjuXnOh/sEQn6nLU98cGlEV9sMi7oc9ae+s6bvlyn0+nMzauJtYl01zjbAnp3jTl35xtJdD3dWxub0vONJnUY6lJjTyfNkY34EjOAieeDPmdtd8+XE08mmvle+dCR3Ozbr74Ym0aMnc54KTa1WNs7k+KSJ3tqky8ZANY5EhKQocg745J327Z5WvxFaOaJ8Ynw1yvm68Y29Mf3DR2YCIfD4Ylv5DfuTqSQZ77QYGsKh8Ph8LnmC0fMtDHdW3vXi2VvhMPhcPgt7cLBeOg52/ik7VGj8b3th81ENeLLvX+8+Zw5A9g0fiiWZkRsQycu/k44HA43uGXE5zwiZ4xW53a8/EfdyeX9/gs/eWJ8Ihx+s6nYHztd0Jd7SL5pHHA6T308noQyumQAWIdISMB1ia3XThoHEu8jFcqCB0ZLms/F5umKapuK/S/Fhose+kZ7hTGa46h41DvU//qMSOSVl4bi3WYdftTr7zMT1Z7mJ+/fbjR+rCZ64b0ZEQkO+oubnzQ7EfuRh71DL76ix897zG38GBz0l8QHwxwVLU3Fs8prNk5nP/KwV94Z10VkpM9/b3NNkdHC/ZAm/a/PWC/ZUXEyfLLCIQCwMbAOCciQfWe+DLw3I0XbREQcFc+PV4gEfc6nb7DPd1O9sD23REREfvjuWfEPO/2x522bindMSrqZvnfGJa80aZRr+46SsxcnRZT5my1k+r0LctZ/j7Mx8ZT3ByKfzLyHZTIxMfHuD95J9+rt/2pnbm7uStYDYCNhDAnIlLs0aUhm8TaneC7yznjqxpcmhkRE5JO37ymOzZqFw+HwxIX29OM09p35YgwmxUWLb5/T3Nosdq60sm7LE+/pcLIG9/yHrIBvv/ri2ee+NU+Db/nf/ParL65YPQA2GBISkLGihtM7G++ZtX45nU/eXjwUm4oK+u7zi8g14xXbUOPz5lqi6d6GE9H47JX4vxbbWmnEd8jv/eLhbSL2fQdsjY2ZbrnkLvUON34psfr7RKPtQOncib/tuSVDqt+8ismeP2+3LdBvUbn3uUPJi8dTWPGV2oN9Zz/vq/vc3t9I97/f/aPywb6zK1cQgI2FWTZgEdwN4bdya+9yOuPPlGhvN6QY1LEfaWp+ec9dTjUq4j3zwmP+52KvREuadvy103lIRES8Z8KJpUv/j2vb4/m5r12L2jYVN59rN6bSsg6fPD3hTMxweU/Hx29SDEoVNUx8w+fcbbYu0d4+eTjFbFrW4ZNvSewq9jT/7Z8ceu1/LXTdrzcf25PrvBYVEdum4qbX5hnKWjnzr/ratjVrheoAsBHZotHoatcA3DyCPufTO87NXdEc6a65+92Hww1FKY9abhER+6qc+Eaoqqpp2o23AYCUmGUDsP7iEQAsNxISAACAFeuQgJXkbgifTPW8/Uh7eKVrAQCkxxgSAACAFQkJAADAioQEAABgRUICsF7NXJme/9WoZK9YMQA2GFZqA1iXSsv3/NWf9RWUfzxdgx/0v/O58p0rWRKAjYQdIwGsV/zlWgDLh4QEAABgxTokAAAAKxISAACAFQkJAADAioQEAABgxbf91xM90NbaP2X8HJXs8vo6j3J9PUUCLR3yQLrDQ51qsFCrKlyomqc6okfr911nCZlLuuwbu+oVFOpUR91apWs5um5vGLitLoObEK9BD7S1Xi5N8YZm3BUA3HxISOtMdlksIOiBtlb1crVWtRyfwoszf966MaHOE9/48D5NK4w97NRFbupPdFeNb5FvueKp05aoKwC4aTDLtm4pnrr6skj/K/pqF7KcQp0dct9XH0gMfriq1kAiBABsfIwhrWdKwa5oR0jf51Ek1KV2nBeJDzLpgac6ovvu/t6pb12ad2Yq1KkGC3/zR6e+dUlECpJHpM49rc56MtSpdoxJ0ilERGTzlenAf2npj4i0qv27qmPzSpFAS8vlcrM3PdDWKVV1HiXeR6Kk+esMBcd2uatS1t2lns87ONV7JvrrRz89MhgbwYqPZs26rnjBxlHR3jNjImIvqz9unC0SaGnpj0j8YvVAW8em0k+PnOqPpG4msSuNlyFl9XUem9EgKtnxrZwX7Mq8vXrgqY5ozr8KnD+/8+E//Nd//Ve/SP/exeZAU9+6yNwaRA+oL4h2XIm/g7F7oiemU2NTmZu33GFE0pSXttAtAoCNg4S0EYS61GChplWKERECrjqPSFQfGPxZvaYpeqCtdTDkSbsmZuzUP1RrmktCnWpfQHcZH3Vzn3RVacZUTahTHRj1mItarm3N8hw/LtZZNrunvEAdDYnLJRIJ/Z24H1CM+bKjxnyZHmhr7czSqgrnrVPX9WyH2Wl8MVI8xo0O/7Re0xSJBEbmvS4JtTd0BlxmeX//X8fv07QqkVCX2hlw1XlsgZYOeUDTFOPSOke1KofI1MuDUq9pSiTQ0jIQ8lS5IoGWluBn6rVY0moLmJEkVoaEutT+nGrtuMuIKZJTbdSRqivrGY378EGZ1lQhogcyfO/mNgt1taSswWGL6vF30FhA5lFEYuOPeuCpjmhVvKKuUGGla9YdzugWpfn9AoD1iYS07mUpol+WsfOqGnumQBdRxKbsP+pRRERxuR3fndLFleZf+QVHjQ9gl7ugIzhpLvJJ8WQ8o0QlO2fBuT2Xu6AjOFrpKtTH+nP2a4roIf1X7q8z58sUz/5dajAkhfPWqSjK1Ki57Ejx1Gke0QNtA/G6y+cft4hdgrg+v3+gM6R7PIqI/Mr95pydq7Ss44WQeJTLkamxVrVfJH5pDhFHWZVHERG76zPZQV0X0c/b9lfFTugqLft2x5ju2ZdURuSSXnj0MeOMdk95Qf+oWcfcruaeUURsyv79sZCR4XtnaTZzxZGuhiSRvq7399UfndWhfnlSH2tVY7fWbr69sUubyuwWMYoEYEMhIa1nof5+cT9+ZXp61sSXiCRGB5aKHmhrndyvaS5zJmthLveujmBINo32FxSmXie8MCUn+3xwtNK1wLfqrpfDFhURXQqOzv6eV7qbN28E+OH0+9GcTM9sPeOSvF/btk4uWEOoq2W6VCuf+0JihjRlRZneIgDYMFipvW6FOh/v0Mse8GzbmqXkTPUPhpb1bPrklDnhpY+9N53RIa7Sskj/K99+f/+vu0REFEX53jdeMAc19MDA+YLCBedlFE9VmX6qJTDv57FdyZkKhvQ5tY2Nmrck9N8GxB0bhUk8O9gf/XSBSLbbPjY4/xlERLJ3RQfaYs2MY2cHJrd7V7yfSKBvzNpBUlc5GZ1xcSajNl1c89egB9oGHPUppsOUnJ2jA+kryrTgUJfauby/hgCwchhDWmem+s3Zjs1b7qjSzEkrV+XxspYWY5otvtJ2ablKywZaW9V+2bzljjl/Ld3u+oy0zlqpLSLGQvKW4Gfqt5ldVD22r61VVU/FVmpnUqTiqauXttgMj7EoOMPaCm753pfVjl+ISEG1Fh9g26ufV9UOEZFd5rOe49WX1dgZ7GX1xz2pCrHParYrqcd4GZXVQbVV7TdWSe+R99Ndk33uGW98gsoYD5unhp9PD/f0T01J0iVUxl5TPDVViYrmDEimKPiG6wWAtc4WjUZXuwZgyaXe9NJY0r5Ca4qvXpFbt67ImdZqAQCwnjHLBiyPVU8nq14AAKxnJCQAAAArZtkAAACsGEMCAACwIiEBAABYkZAAAACsSEgAAABWJCQAAAArEhIAAIAVCQkAAMCKhAQAAGBFQgIAALAiIQEAAFiRkAAAAKxISAAAAFYkJAAAACsSEgAAgBUJCQAAwIqEBAAAYEVCAgAAsCIhAQAAWJGQAAAArEhIAAAAViQkAAAAKxISAACAFQkJAADAioQEAABgRUICAACwIiEBAABYkZAAAACsSEgAAABWJCQAAAArEhIAAIAVCQkAAMCKhAQAAGBFQgIAALAiIQEAAFiRkAAAAKxISAAAAFYkJAAAACsSEgAAgBUJCQAAwIqEBAAAYEVCAgAAsCIhAQAAWJGQAAAArEhIAAAAVltW5axBn/OQ3/qkbVNx02vtFY7VKAgAACCJLRqNruLpp3tr73qx7I2vVyirWAQAAMBszLIBAABYraWENNlT66ztmUx6ZsTndPpGYz9cmh725ToNtb0zyYcGfebzuXk18R6CPqfTF5zurTVfM7oCAABYyFpKSI69+4uH+l9PRJ/goF+85YXmI3/xXW8cmAiHw+HwueZrJ+6Kh6Sgz3lITofD4XA4PPGN/BP3JkKS+A+p8kQ4HA6H32wq9h/0BVfyggAAwDq1lhKS2I887B168RXdfBjs85c0H3MbD2ybipvPNZhpyVHR0lRstpzsedrvPdNgNpOi2q/eO5yIWXuamw9vi3cu/j6GkQAAwIJW57tsaRWVe88+PTRZUeEQGenz7yl7I/bVtuiH+Z9K+ppb1m15cvbipIhy6eKQ+Iecs74aV3Ig9tPOfNaAAwCAxVpjCUnc5d6hp1+fqTi8LTjo9z4Szijf7Gnm23AAAGAJralZNhER97Hm6EuDIsE+v/dAUdpmiSVK23eUnO0fmkzbEgAAYLHWXEISx94y6e/u+Wt/Yo22wX/wwR5zidKI75BfvKVuo/3+4qHGxthLIkEf31kDAAA3ZK3NsomIfd8B292N7ze/5p79vPfMQ1P3OJ3mg+5wgznCZD/S/qbU3H2Ps9F4XKK9fXLlqgUAABvQKu+pnVKKjbZHfM4jcibcUDjPYQAAAEtk7c2ySeSVl4ZKfmMfK68BAMBqWXuzbCMnTwx7z7RvW+06AADAzWtNJaSgL/fQc7bi5nPtzKYBN6er7S+sdglY926tPCi3bl3tKrDurcV1SABuRlev/ONny69N6Qu3BOZ1y51FW089S0jCDVqD65AA3Iyudp0hHmFJfPD2yNWuM6tdBdY9EhKAtWJzNt/QwNL4UCdt40aRkACsDVevGmNIm7MVohKAVbemVmoDgBg56ZY7izbvKljtWrBuXDs/9sHbI6tdBTYUEhKAtWjzv/nVjzQcX+0qsG5cfeZZEhKWFrNsAAAAViQkAAAAKxISAACAFQkJAADAioQEAABgRUICAACwIiEBAABYkZAAAACsSEgAAABWJCQAAAArEhIAAIAVCQkAAMCKhAQAAGBFQgIAALAiIQEAAFiRkAAAAKy2rHYBALA0Zq5M/2jqx6tdBRbt49kf27Y1a7WrAKxISAA2gpkr0yKSm5u72oVgka5emfngZzNXpglJWGuYZQOwEfxo6sfbbvnl1a4Ci3fr1m1bsxj8wxpEQgKwUdy6dbUrALBxkJCwoQR9TqfTNzr3hRGf0+n0jSy+N1/whiuq7ZnMrO2Iz5kkN68m0wMXquCGryIu0l0Tq2/J+gSAtYiEhI3m8OEf/afemdnPRbqf8V9HV+6GcLjBvSRVZWpP8xth08Q38ht3O2ut1zLbZE9tykSY5LquItJd46ztnZHJntqkhBf03X0i/3Q4HA6H32waP7TYxAkA6wgJCRvNdO/00Iuv6MlPjZw8EW1uKl6tiq5XUUP4XLOo/vkD0PKwH2kPnzy8TRwVJ8MnKxzGk5F3xsVbaoQt+878VSgLAFYMCQkbTdZ//MMmW2N70vBGcND/8O9+KrnNdG9tfDLLGAhJnoqa7q01puqme2vNJ0d8zgd7Ql1qYvIrPiOWNNk0t1uLpAYLDPyYHHv3F/tfMrsK+nJjRz/YoxtV7W4cEv/BRBkpZsESV5HUSW5ezbdffTE2/hTprnE+1frKsfxcs+fkc6WZtTzk9x4oEku3Tmds0Gv24BMArDskJGw0k7aPHXnY6/9ajzmMNNnztN/7uZLCpCaRvu/sfTscDofDb2klRkt3Q3zaKPicKs3nGgot/Z5tfNL2aDgcfrPZ1rjb6RwsD4fD4XPNJf6nYzkgMnLJ88bsbpNN99be9WJZrMGFgxmt47HvzJcL782IiIz0yTeN+bfT3tca20fMQaYS8Z4JG/Noke6auwcOvJ1+Fizoyz1kdDJxQfv/Ov7dUNJrfxGaeWJ8Ivz1CkWCvtxDF3xGP+G3tAsHH5x1LdO9tc4jciYcv0WJbsPh03nq4wQjABsACQkbzZZb/pkUlXvP9g9NiogEn2/8xZ9VFUokqYm9SqvaJiIiWZ8tKzl7cVJExG7kqu6aQxe0J2LzSkn2ND95/3bzEClpPuYWMcZ4hi5eMrstf+yoYu02LvLKS0PeRyrMBocf9fr7Fjd9VtTQYI7ZuMsfisWmZJOvDgx7v3jYuDL7kYe9/sHZIWykz39vc43Zif1IU3NJ0ovx2oxmzWY/knX40fjNjD1zMhwufyk3Nkw1q1v3Q5r0vz4ze3oOANYfdozEhuR+SJO7ng9WNEifv+Q3zm2XWQlJZMTnPBJfu+39ovF/ixpO73Qeeqf5jVg4SM2RnycXP5Xysz9lt6YfvntW/MPO+Mu2TcU7JqVwgQwReWdc8kqNeiLdNXefGDZfKNHmtL10cUj8Q86kNel7dujijv8zaPq9C7KzXJn/hCmaffJ2IwXOKtXd8Hrzhd19ow3unPcuyFn/Pc7GxIveH4jMew8BYM0jIWFjyjr8qNfZ173jit/7aNiSQkZ8zq/teCMcVkRksqd290Xz+cmerh890mRrbB+paCiydriwdN2aPnn7nuLmpvbFDauMnDwRbX6jSIx49O7D4XC7iEjQ53x6buPtO4qLm3ztRywZaDr5wTvjurjNBpcuDonMjnEiIlm35cmLSc1ERIp3bJ/TzpGfJ/3fn5TC2/LE++hKf+kPAJYZs2zYqNzlXv9X/uzvzOmwJNPvXZCd+cbH//Tr/UPm00Hf7v6iP6w70tR84UjqZdSb5z1fmm7j7PsO2BobrYuT5uuwtzb3/vHmZmPy64fvDpfEYkqw77lUBzj2lsmJxvS7A2R9tuzecydia9jT74BQVO59rTHez3Rvw4loecmcYDfd+7R/T1mJQ6So3PvcnDVPrNQGsM4xhoQNy32s+dfGo3M/2rMOP+rNPWRMRh0+fLhERES6aw75vafDDpmRCk2rvcvpOxNuyJl94LV5T5fc7aHDj5TIz+c0OHl6wpmYjfKeTjHucrZxVoML8QbuhzS5a7fxmrepWC4YTzsqHvU6Dzr9Rm9H2k+/m3unU4110B2eNRjmqHi+66LziNMvYttU/JfP/ueS4bFUl+JumDjti/ezp/mNr1fEx5N+6X/r3TX3nBgWEe+ZsPG8u+H15mN7cp3XoiJi21Tc9Fp7xbz3CgDWPls0Gl3tGoBVM7M862WWqdsl7t+YFkxKP6vr6jPP/rT5yfjDWx/5wkcajmd++MTERMo/WzvdW3uXOiQiIl7L9+/80VieY0X5akv39mXuBn9/gLmYZcNNbZlyzHKvUl6K/oO++/yf3f9rayQeLZtQxz9Uztm2INJdE9v14Bv5jbsz25sKwE2GhATcPJL3gTx0wff2X90/dwH2BuP6w/p9xk+JLRgmX+2XJnN7gqLapsSenACQwDok4ObhbpgIN6x2Eavm0sUhb/lJEbl0cTg/vp2BfWe+DLw3I0VsTwBgFsaQANwEJntqj1wwvtg4/d6F5Fe255asTkkA1jbGkABscLG/93LS3ND8tjyZSLx6aWJIbmiJMICNiTEkABvZdG+tKk+ELV/Ze2c8tjFV5J1xybuNKTYAViQkABvXZM/jL+1vtvwZmaLaJlujuXPmyMkT0fgflQOABGbZAGxcly4OD/vvcZ6IP+HtDjcU2Y80xbe4jO97CQCzkJAAbFxFDeGU395zVDw/zr7fAObDLBsAAIAVCQkAAMCKhAQAAGBFQgIAALAiIQEAAFiRkNYuPdB24ssvWP/qeKgzxZPzdKF2XtffLQ91ZnJgqFNN0hm6njOZPXWpbQF94Xbz9nDjZVzvuTvVrszOGmupB9pSH3L9b1lmZ28J6Jne7UigRZ1bZKgr/mQk0GLe89jvZCTQshr3HwCWAd/2X9Nyr02PhqTQFX8iEujTs36R8e4tiqdOW5bCEnZVa5VGfaFOVW0rq6/zpC4v1KUGC7UqV8oXxVWppXklZV+dal/Oo8c29zz5g1KtqlBEQp0dl8vqNY+iB9paO0eNJ9ewtO/MMr5lkUCfXvZAlSKiZHq3s7PPB0crXYmbqQfeHs2WxONs4w3XA22tXaHCSpfngbKnOl7RXfvYYQjAescY0pr2j/Zdkf5XEv/Y18fO23b9yidsq1hSeq4qrVrpH1iu8Q/LqY57tmcV18WSkK7r2Z9xKSKiKHw2p6aP9efsTxNf0/rkr/7PwaTRJj0U/OVDv6bkfGhpprjcjvendBFRCnZFz4duaDQQANYExpDWtA9/1f7pkcGQvs/4YAsN9it7Dk73RnNERCKBlpb+iIjEBnL0QFvrZWNMJdSlDjjq61yhpzqiR+v3SaCtY1Ppp0dO9Ucku6y+ThlQO8ZEpKDaGNSZ01UyPdDW2j8lsnnLHfd99YF5x2Zc7l0dwZAUukKdxgligwyhLrXjvMh5VbWX1R83Rnpm9Zk0wmQeu3nLHfcdKtn+zgAAIABJREFU+MfBnx0xDj+fd3Cq94wk9yYiRm+zih3Qy2IDSGkrT5RnVhi7UYqI6AHzZz3wVEd0393fO/WtS2Iv044r5lFzb1HSrYrf56TazNsblezPle+Mt+yUqjqPPl8l8TLNrkKdarDwN3/U+a0PyuvrPEriXTPexzRnj9UWCmY7qszrN++22eGpb11K+mWY5Re3/1vb2bEZz75tIiKhgX6l8De/M3p5r6VZaLDfXqYpIiJ212ekM6R7FpvFbtjHsz82c2V62y2/LLduXeFT4wbNXJn+ePbHVrsKwIqEtKbZPnR4yhV1MOSpdImEvv3+/j+s/D86e40X7Z7jmkdEJBJo6QjoLo/iqSpr6wzohcpAh1RrHkWS/ik/9fKg1GuaEupUW9Vd1ZpWJaFOtS+guzxKiq5ih+mBpzqiVZpmfmB3hQrThIPZXFWaMVcU6lQHRj1VhZVatcQy0Hx9RgItHXpZveZRREJtaoeUmS+MDv+0XtMUkVCX2iHVmuYSIwJ1KfG8ogfaWv/OXX9cWajyWHlGGJp9o5JF9YHBn9VrmhLqUk98+Y77NK1KQu0NA4FSV7oAELvPkUBLy0DIU+WSUFdLf061dtxlRCXJqU5xo+ZWEupUR92aVmVcV2fAVecRkbHBn9U/oSnGjZIH4pfXOapVOVKdPU6fnFIK5xY9duofqjXNlfTLMMsn/vXduz6hvhzaV+USCQX1sv2F/2LgVNLl9req/SJiL6uvNJ9SFGVqVBdZ6YS0bWvWzJXpiUtTIlMrfGrcoI9nf2zb1qzVrgKwIiGteS5XQUdwtNLlCAxEP10lyR/mSUMhBbqIIoqn2t3ScuJHdxz9qjXHOMqqPIqIZOfYs3NKXSIiSo7DFk3XlUm/PKmPtaoD5kN7zoIffTlmPjGGbyQq2dZjUvUZM3U5UlBqfky7qsqyO2MvFJSb4zGX9MKjj5lXp3j2F6jB0UqXw3xYp7kCbaqqVGtVsmDlkb6u9/fVH53ncmzK/qMeRUQUR3aWo7xQRCT7tnn/Sx67z3bXZ7KDui5iSyrY7ikv6E8xDZmiEl3X5XyHej72eJdxk+I354eXI1NjRjqJ3WRHirMvGFMKjhrB0eUu6AhOpjrAVVjQMRoSV3agT3c/YEmT5jokY4F56Wov/9q2NYsPWgBLhYS09rn3lwU6hkbvGM0ufUxJJKRQp9qXU69VGcMqQfNZu5Ij8qNFniF1VzHpJ5Ws9MDA+YLSStEDba2T+zXNZQ51zDWnT/OqdD2ifMKxyPJnUTx11ZfV0ZAULlB5qKtlulQrv5FzZWRq+n1jVjStdJVkW5e9J39JbItIwdHZiWS5Fv+4ysr6Or796s7BnP2akuY0SoHbHpxehZEjAFgurNReBxSX2/byqVeVXbM+DnVdcoxVyaFgbKRBD7QNOOqb7t90KsMvn6fvKnbunJ2jAxl9DV8PtLX2K9VVhSL65FS2wxhKGntveu71pO9TKdgVHRgwaw8N9M+dLrFvV0bjV6cHBsZ2uS3jFqHRsWyHMn/lxo1KTEIpyr+ImOuL9VBwMrqEa+Fd7l1jscXOkUDfmOVlayWJipTpV/rSL3vPzrGPDS5mfwTFka3r1xei7K7PyGDf2YLC9EFZHwtGlCzjPdd1490PdfHNfwDrGGNI64Hi2b+rXy91WZ4rUDvU87J5yx27fnXLByIS6vzzV7Lu+6oiUlbW19IWqK/LbOgnRVdJr9VUXVZjszlzRjUkPhMUlexyY/mQiKu0bKC1Ve2XzVvuyI01dBUWdHSYK7XT92n3PFDW1qqqxvLq39w++DNrta7K42UtLapqNC+rP25eZHTTZKCl1VykXKmIpD+LHujsn5qS2Gu7qrVK1+f3GyWLQ9mfmHxcCq7K6mCsjtLyPfJ+0mtzKymNH1b12L62VlU1Fv3MWUZt9xyvTlyevaz+uGf+Mm5keZDi2e/47tSvp/h1MtchRSW7vL6uUEQkEvo7cT/AUBKAdc8WjS7lhwGwhObfQmnZRETsK3zKFWEs7k63X9USiX8TcPGHXn3m2Z82Pxl/eOsjX/hIw/ElLA0bG78/WHLMsmGt0gMD5+eb2Fk2GzIeiYjdU670v3BjO5cvIBJ4od9exnaRADYCZtmwtsT3OkqauMEScVUtZufy62D3HF/uTdwBYIWQkLC2uCo1rXLhZgAALCtm2QAAAKxISAAAAFYkJAAAACsSEgAAgBUJCQAAwIqEBAAAYEVCAgAAsCIhAQAAWJGQAAAArEhIAAAAViQkAAAAKxISAACAFQkJAADAioQEAABgRUICAACwIiEBAABYkZAAAACsSEgAAABWJCQAAAArEhIAAIAVCQkAAMCKhAQAAGBFQgIAALAiIQEAAFiRkAAAAKxISAAA/P/t3W9sW/d97/GvYq81CiQbYOtQVXuBLJTsi4aiuEBIXGR1FFoTtWAYENi1W1lyXSlMgQZBM1HNkZwH25NYPA2lbMgWoFasdqWsVoIMXxRYKgoOLecP3GRaS0lcMf85Ti7qONKhjNvNWOCm15f3weEhqUNSov5ZEv1+PTLP+Z1zvjwkwI9/3x8pwI6EBAAAYEdCAgAAsCMhAQAA2JGQAAAA7EhIAAAAdiQkAAAAOxISsKZmR47trnJa2kdvprZPBp1ZqqrbRmazjlq41xmM2c7Z7mxfMH4psWDq0vOj7c5vjxiFh9mvBQAQEZHtG10AUGq23XnmrN7lFhGJBasebZcPTh3cKSKyr+fijw4p5qDJoPNxZ0Szdtn22lQcOqUfWlkxuw6e0g8W3Ovp0vWVnRcASh1zSMD68XT9zD9x9bd59tR16e/1iNo/fddrAgAUg4QErKP5j64U3FfxZOMT/W9OFnOaWNDqss2PtjuDsVgwp4tn7jJ9e+TSZWvrZNDssmX2ZjXyzLNlRto7gLGgs3145KWsxl8sWGW7dGK4zdk7MW1uzxy7/M4gAGwqJCRg/cTe6JrwN3gK7C3fs1uufHSzwN7C+g+MNei6ruvD/gvd308np8f+xXdR13Vd15+7dvyC/aBdB0+ZO/X3eurFf7ZrYVWTQedhOavruq5f/enu7m5r6VLZxPFrX9d1Xe/yiMSCVQfkZ+ZZzlSrL6YD0Ovtbz51Vdd1fbT9QuZYANjKSEjAGruz7Y2nU/MsB+RnelddcYe93f3V9PzO4hNL/jOpc9a1v/y1C9eui0jirTcn/M9Zy5jqus74Cx2cGD7eXT1sLpPKiJ3rr9f8qY117SfKxibM9JOs7zlmZanJsf6v9bSlno7nGU0i76bind86oedYT/3b12bFXDt16lBFUU8dADYhVmoDayxrpfbiEpcuS3VDESu1l/bxhxfqHzqx9LhYcO/4Ux+csoe2xKXLMtH/qFPNbPJfF1mYb+Y/uiJv93/V2Z016LciX1phyesgOCm//13BvZ//Eyk2rQIACQnYMJOnjid7Lq7NZ/aX/vSJiWuZTJO4dFmkKveKwQOXei527czZUb5nt/i/u8R0164Hq8X/vG5rz0li5VWvqSdPykThRV+myK/k/LN3pRoAWx9dNmADzI+2V33zck/PiieNbMr37Jb+f7IWAE2esq1D2iYisyPth68UuqKnwd9/OLjEF+vqmvxvHFiiA5h211dqLxKP6quXHgMANiQk4G7JWmn02NXnr14ZWMNlOp4u/cwe6/znmuzrkG7NDx/vnpCJ7setCmw/I1nX9b52xVo+lbM3fZF3e/6juSr/j15uVvXVcv5Zmerc6DoAbDVlyWRyo2sAALn9+slPe15JP9zx3He+0LWMXFP2/fzbk6+IiAzGpfWfMw9Relb5/gFyMYcEoGSZU0fTc6l4BADFIyEBKCl/50v9I/wtcTvkpkhtaEMLArA18V02AKVjqlPcDnFWiD4rLS4RkYMnN7omAFsTc0gASsc/vHNTRFpc8rcNIiLtozf5/hqAlSEhASgdA+/vTP+tusG4DLyf++NPAFAUEhKAkjLw/s4nT7I6G8BqkZAAlJqJK6zOBrBaJCQApSD9w9mrHAMAJr7LBqAUnH+Wv1wLYC2RkACUCAIQgDVElw0AAMCOhAQAAGBHQgIAALAjIQEAANixUvueZkT7eiNz5r+T4mgKdHiVlZ0pEQ2F5Wihw+ODasyttbiXqubVcPJIYP8KSyhKIhoKRRIiC55vfFANz6SH1LZqzS7bYBGpadXMv/OVpdCBy2ZE+3pnG1d0eHyga/zBjiJeuPigOu3Rml1iRPt6bzTkeTmKPhUA3ANISPc6h8+KRUa0r1e9kScH3H2L561Vsp6xEe3rHdyVCgo1R6zEEB9S1ZAv0GlePHN7Cih0YI50QMlH8XZoK3w6rrbgMl+wghdb/qkAoHTRZYNF8XYEfInIW8ZGF3KXKDWecmM+59m6mrXWysh4fNnnW/GBAIBNiDkkZFFqapPhuLHfq0h8SA1PiWRmUeKDasz91//n9M+vS/6WU0p8SJ2qfjo5enZGFjae3ntNXXBspkWVPVGz7dZ89IehSEKkV40sbHjdaEpd1Ij2DUpLh1dJn2Nhy6yoOhfhcteEp+Picqz0QFe6fblt+8PfePmoO1XnzItTZp2Z/p1ZYeYZSc6dN6KvhpP79/7m9M+v5+uEWh3M/MNSF0qK4y+a9qSOMKKvhpN/E3BktwgdvkCH18g0Q60nkKrfelnnRs+KL9DhLcutP3xfw59Nno4kRMoLT6QBwNZBQkIe8SE15ta0ZjEbXlGX+XE7c/p/t2qaS+KD6ljUcBX8FPz3/3X5G5rWIvGBrvFog6vAsa4WzWz2xAfV8Wlvqld15/5d3s5OsXfZyr1NNep0XFwukUT8V+I5qkh88PhP/98RTbM+0dMts+LqjEci4gks8Uk+F+lVI8tfpKV4OzSvmHUNRg23t0VrHVSnPT9odlk9RE1L5bnBaa2lIl1U7p0XSRrj534f0DTFiPb1not7C7TqcofFh0KRylat07xoSCpbzZGzyTIjff/N5V9eRcSaTzOir4aTLekCh+LuZpeITF/4NKBpSoH6535xTgKapiSiodB43LsJerUAsCokJCzw2XZHpSLGDZmZUlVrY40hoohIzRHzs9nlqQnHZs1t+Xzlm0fdIiKuR93hWOFj0xMtSXFULtnbc3lqwrHpZpfbmIlUNmqKGHHjK9/sSC03VryNtWosLm7XknWmQs+27Q8feblg5nFUmHsWrkPKmVkpfGDWIu5aY2EJczcSczO9akQk/dythJTIe+fLlMYjXkVEFJen4tdzhrjylm0bdvNWxXXDfeQFM6qUe5tqItOpkRVlSeugxNjQJ/sDRxac0Lgxa8z0quOph+WpF6emybwTH+etv8LX4lVEpNz1iCNmGIXfHQCwNZCQkCUeOf9/K1+8NT+/9Arl1Up9e0uz5lSW5vLUhmNxuW86UuNe6bJmkSIWXyeiYzNKU4tIwr4nPTW0xIHxga7xBwNai9mcnM4dmVnfbcrKhznlrWhd2GyybOf91+c/SVYuOiw+FJpv0Jpyd+R8Ly+riu2L1g8AJYKV2rDEB18MG76j3p3371Iq5yLn1nfJsTE7l5puMWY+mi/qEFeDLxF567rhbnSJiCiK8puf/iQVP4zo+FSNew06O4loKBSpbF1+kyjrQMP4XVLZpYiIxKdnckY6KstnzkXzhorytbrzFWVJQzye2vSFEtExeyVGtG+8IpDnmSqVe6bH8xcosmj9C8SH1EHWrQPYsphDutelek4i27Y/3KKlmlau5k5fKGQ2exbpKK2Gq8E33turRmTb9oer7DvLXY9I74KV2iJiLiQPxdyB1JyHq+WF/X29qnraWie0iiJnTqvqaRERcfgC2jJmz/IdqHgba9Wwqp4WefKL7lS7yeWpCYdTK7U7W2+oVpuq3BfozMxLre2ddzW3xqwLNTTtk08yuz6bvzASmZsTq4zaVq3Z2qd421oyBeZMapUvUj8AlIyyZDK59CgAWGe3Xz/5ac8r6Yc7nvvOF7o6N7AebC28f7Dm6LIBAADYkZAAAADsSEgAAAB2JCQAAAA7EhIAAIAdCQkAAMCOhAQAAGBHQgIAALAjIQEAANiRkAAAAOxISAAAAHYkJAAAADsSEgAAgB0JCQAAwI6EBAAAYEdCAgAAsCMhAQAA2JGQAAAA7EhIAAAAdiQkAAAAOxISAACAHQkJAADAjoQEAABgR0ICAACwIyEBAADYkZAAAADsSEgAAAB2JCQAAAA7EhIAAIAdCQkAAMCOhAQAAGBHQgIAALAjIQEAANiRkAAAAOxISAAAAHYkJGw6saAz49sjxoKdieE2p9PpbB+9KSIyaQ4NxofUnJHLNztybHdV1rWdwclVnlFEZH60fbW1zY60O9tHZpdxRCyYukWLXz0WdDqDsdWUBgClavtGFwBkSwy37T2e7LmoH1JERGR+tH1v9diJdwYOVZgPu47vPqMPeEREJBY8fKXnPd3cpTevweW33XnmrN7lNh/MjhzbV+VsG9W7PAUPmB1pf/za99KH5LPr4Cn94OrKqjh0Sj+0skMXv7qnS9dXWBMAlDjmkLCJzI92HU/2XPxRKh6JyK6Dp37ZU9b949Q8x/WrE/VV/yO1b/byFan+nxXrVk3FoR9fHvX3v7asyRsAQGkgIWHzSLz15oT/uUw8Mu36c199/9i0yHCb80C/TKiPVlW3DY+85Hy8e0L6n3Y6ncGYTAaze0lZfbrgtLkp1Y9zVlW3LSfxeJr8E5F3b6bOmm7BmdeaDC6oQSTdBHQ6s7pXC2rLnCTVKJTEcJuzd2La3F6gvFjQ6rLNj7Y7g7H0E7ROYu2yyrt02dpqXT2zN6s882yZkfZbFAs624dHXsp6OkXXv/zOIABsKiQkbB4ff3ih/qEv52yu2F0tV/5jVg4P6Gf8Uq99cPXKwOFDL+vv9dSL/6yu27pgsaDzgJzRdV3X9X9/qVJEZDLoPCxndV3X9as/3d3dvYxVQV+uqp+4+lsRkckx+Zl51jP+d7oHJkXquhbWkBhu2zv+1Ae6ruv6L09cPpCzjCkWrDqQPkm1+mI6QLze/uZTV3Vd10fbLyxdXv+BsQZd13V92H+h+/vp5PTYv/gumud+7trxC/aDdh08Ze5M1WxrHRa6RWUTx699XU89wTWqHwC2AhISSsvsyGv9mY//HW1H3SKxc/31mj+1VKiu/UTZ2MQK5jbqurrqzH95mp6RKx/dtA+YPT9+wf+9gztFRKT88Hf9/ecWLoKeHOv/Wk+bdZJnNLFmp8Q/nFrJ5DnWU//2tSWq859JVVLX/vLXLly7Lvbpt7quM/5CByeGj3dXD9sXThW8Rcn6nmNWllpW/RWHTumnDq1fDxQA1hkrtbF5fOlPn5i4dl3E9rE6e/mKVD9V5Gft9WsT+x7qWbApcemyTPQ/6lQzm/zXRWTk2L7j79xJioj4zxRajn396kR91Q/M8wy37U3PzdRr+S4t/RPO/syWfQ8Z4kk3Dec/uiJv93/V2Z1Vx29FvlTcE1vcxx9eqH/oxNLjYsG94099cKrOtrnALVp4z9ez/rURnJTf/67g3s//iXTZnzgAFERCwuZRvv+p+sfOxbrqFoSV+XcjE/7nTxV5ji8/ZM5hZC1mKt+zW/zf1XM+HQ/9+PJSXxCbHXmt3/89facZjz78rq4PiIjEgs7X8l36iSdOBAcOK7m7RERk14PV4n8+J4ollqihKLZwmbh0WaQqZ9Rk8MClnotdO3N2FLpFC6xn/WvgyZMycWWJMZFfyfln70o1ALY+umzYRHYdDJ64fCD7F3rmR9sfU6vti2YWUfFk4xP9T1tnuD3wk2kRT4O//7C1ZLt4k0Hn4+mGVPYaqdjYG/kv7ZPj3aM53be0uib/G7mLk9ZE+Z7d0v9P1gKgyVO2dUjbRGR2pP3wlZ4e+0J4U1G3aFn13/WV2ovEo/rqpccAgA1zSNhUyg8P6HuCTqfT2rAv89tIRZ/hl9K2N3WGfT0X20Tqut7X2h9Ln3Tfgh8UyHZn2xtPp9tk+3ou6ro1zPOMJo89bnaY/CeekNRHbcWh5/3Op539Zp/u8MCZD6syvSr/sG1WxtP1bs+xfVXOO0kRKbvvifTvPK2ep0s/E3SmWmD+M2f8/QtmuW7NDx/vnhCZeNxqku3rufijQ5n/IRV1i9ax/vVTXy3nn5XpOakNbXQpALaUsmQyudE1AFvMTZHcThVW6fbrJz/teSX9cMdz3/lCV2fxh5d9P//25CsiIoNxaf3nzEOUnlW+f4BcdNmAZSMebRVTnSIi03OpeAQAxSMhASgpf+dL/SP8LXE75KbQXwOwEqxDAlA6pjrF7RBnheiz0uISETl4cqNrArA1MYcEoHT8wzs3RaTFJX/bICLSPnqT768BWBkSEoDSMfD+zvTfqhuMy8D7rBkDsEIkJAAlZeD9nU+eZHU2gNUiIQEoNRNXWJ0NYLVISABKQfqHs1c5BgBMfJcNQCk4/yx/uRbAWiIhASgRBCAAa4guGwAAgB0JCQAAwI6EBAAAYEdCAgAAsGOldmlLREOhSMJ6VO4LdHqVFZ4qPqjG3FqLO+9OI/pqOHkksH/xkxvRvkFp6VhxCUWLD6nhqdS/a1o18+9ziYjEB9XwjHkfjCE1PCUOX6Bxtne8IrCiqszTWWpbtWbXIqMXYUT7emcbV3R4fKBr/MGOIsqPD6rTHq3ZJUa0r/dGQ56XsuhTAcA9gIRU8hw+69PfiPb9/UvXv/Hy0fwp524qLlGtTHxIDUurpplpIxENqX2GeQsS0THDF9C8iogRPf1JY0AzC9BWmGtERGqOWFEjPqSqocIZNB1Q8lG8HdoKC3C1BZdZfsGLLf9UAFC66LLdQxRvxwv7589FjY0uZD3FB8M3fIFMECn3drYqkfHp9b+yq1lrrYyMx9f/SgCA9ccc0r1FcXnKwjOGd7+S1YAz+1BGtC98X8OfTZ6OJBbtxxnRV8PJ/Xt/c/rn15PiaMpqT82+91pv9karB2UbJka0rzcyJ9Krjme1wBa0eOJDasyttbiy+mVWSYvXaRiG45HGhZU7KsuNeUOiPwlFEiK96q//8kjZLyJzIiF1qinQoZxLXUty7kmmjVZcg9LlrglPx8Xlsp6ibNv+8DdePupOnWfmxSnzVuS5+en+Y/opp2b/Ct9w876lup/5h6UulBTHXzTtyX4F/ybgyG4ROnyBDq+RaaRaTyBVv0h8SJ2qfnpu9Kz4Ah3eshW+eQBg6yAh3Yu23ZqP/jAsRzVNEZH4oDo4rbVUiMz94pwENE1JREOh8bi3pUDLJWmMn/t9QNMUI9rXey7ubXbl3+hq0cxuTnxQtYaJiCjejoDkdNlcf9U4Phg3vF5FJB6bqnE3L+iXGdG+3iHF7FItUqcxO6e4bZ/O5UrlXMyQls5OCYXlaIf3gVvyFV+6gPSkT3woFHvEbMJZZU97NK3FvPpg1FX8Ch3F26F5xTrQcHtbtNZBddrzg2aXSCIaynPzrRrUmFvTmsUcFnV1eAvc8GJel/hQKFLZqnWaFw1JZas5cjZZZqRfHrPj6VVErMlFI/pqONmSLnAo7m52icj0hU8DmqYUqL/INw8AbBUkpHvO7BcdO++fvZGYm+lVIyIikhRHpSEVIhW+Fq8iIuWuRxwxwxDJHwjKlMYjXkVEFJen4tdzhriU/Buz1omXVy7Z28vMb8Vjhq/RLYkxw33khdQnreJtrFFj082uxetUKhxGvsorszfsuF/+K/f68dhUTUNzZpxhGDIVVq0V31JriBG3zazkclSYZ8haxF1rq2cu780XEZGEcUNmplTVGlpjiCj5b3gu27CbtyquZ25gubepJmL1GivKktZBibGhT/YHjiw4oXFj1pjpVcdTD63XrqbJTIgfr+bNAwBbBQnp3hI/F3FUBESM7CXGprVdnbTt1nz0h6EbTZrmSs1JLH2MUlObDMeN/TJmeI4qIomlD8k9h6LMjaVmoiypGaklGEZC+WLFwm2ZVe6W1NRQfono2IzS1JLqGAa0FrPVmGcN1CI3P+eaK3phZpNlO++/Pv9JsnLRYfGh0HyD1pS7I+d7eVlVbF/vNw8AbAas1L6HxIfU8A3ft7yKiKOyfGZdl2zvvH/2o3mHOXNjxGOzybIiDir3NimJiZcilY3mbMSXlenTQ6kmmBEdn6n1LP0tPJfPJ5HeoUzrbFANG77GpQ9UamqT44NZ90RRlPm3xope4p2IhkKRytYWl4hh/C6p7DIXVE3P5Ixc5OaXK5VzkXNrsNi7oixpiMdTm75QIjpmr8SI9o1XBPK0w5TKPdPjhd8dxb554kPqIOvWAWxZzCGVvLmI1RCRWnNJipjf8LqhWjvKfYHORaZGls1c5vJXjeO9vWpEpEJpzGrriIgZR0ILV2qLiIjL84fwTE1rapOrudMXCqV6TuW+QGcxa1vKvZ2aMqSmO1U1rVpHUWtiFtyTmlatxdXywv6+XlU9LektuUfNnLYGOHzWGibF21irhlX1tMiTX3Sn2k0uT004nFqpXfjmZz/lRXp5RXI1t8asCzU07ZNPMrs+m78wEpmbE6uM2lYtPc2meNtaMgXmTGqt75sHADaJsmSyiPYHsCoJkfKNrgGb3e3XT37a80r64Y7nvvOFrs4NrAdbC+8frDm6bLgLiEcAgC2GhAQAAGBHQgIAALAjIQEAANiRkAAAAOxISAAAAHYkJAAAADsSEgAAgB0JCQAAwI6EBAAAYEdCAgAAsCMhAQAA2G3f6AIAII87//pvt//+Hze6CmwRn/vcH946v9FFoNSQkABsRn/4YPIPH0xudBUA7l102QAAAOxISAA2hx07tjmUjS4CJeK+Bx7Y6BKw5ZUlk8mNrgEARET+s+7xO3PGRleBLW+bQ/njd8dkx/0bXQi2NhISgE3j9q3bQ2fl9m357LONLgVbzec+l3rbPPDAf3/9qZ1/9HkSElaJhAQAAGDHOiQAAAA7EhIAAIAdCQkAAMCOhAQAAGBHQgIAALAD2t6FAAAAQUlEQVQjIQEAANiRkAAAAOxISAAAAHYkJAAAADsSEgAAgB0JCQAAwI6EBAAAYEdCAgAAsCMhAQAA2JGQAAAA7P4/6Dz/CDoFPTQAAAAASUVORK5CYII=) +![81cca748e213ab2eb7c78c4c3b6f9989.png](:/aeb183750dfa48ac8749c16b52e47f97) Nach der DB-Migration folgende Befehle ausführen. +~~~ docker compose exec --user www-data -it app /bin/bash ./occ fultextsearch:migration:24 ./occ fulltextsearch:index ./occ fulltextsearch:live - -``` -docker compose exec --user www-data -it app /bin/bash - -./occ fultextsearch:migration:24 -./occ fulltextsearch:index -./occ fulltextsearch:live -``` +~~~ Das Ergebniss müsste schließlich so aussehen: -![2023-11-15-114235_grim.png](data:image/png;base64,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) +![2023-11-15-114235_grim.png](:/00ff88dfcb3f4517a16def85d47712eb) -## Quellen[](#) +## Quellen -[https://hub.docker.com/\_/nextcloud/](https://hub.docker.com/_/nextcloud/ "https://hub.docker.com/_/nextcloud/") +https://hub.docker.com/_/nextcloud/ -[https://teqqy.de/nextcloud-docker-tutorial-step-by-step-zum-erfolg/](https://teqqy.de/nextcloud-docker-tutorial-step-by-step-zum-erfolg/ "https://teqqy.de/nextcloud-docker-tutorial-step-by-step-zum-erfolg/") +https://teqqy.de/nextcloud-docker-tutorial-step-by-step-zum-erfolg/ -[https://goneuland.de/nextcloud-server-mit-docker-compose-und-traefik-installieren/](https://goneuland.de/nextcloud-server-mit-docker-compose-und-traefik-installieren/ "https://goneuland.de/nextcloud-server-mit-docker-compose-und-traefik-installieren/") +https://goneuland.de/nextcloud-server-mit-docker-compose-und-traefik-installieren/ -[https://goneuland.de/nextcloud-server-mit-elasticsearch-collabora-office-docker-compose-und-traefik-installieren/](https://goneuland.de/nextcloud-server-mit-elasticsearch-collabora-office-docker-compose-und-traefik-installieren/ "https://goneuland.de/nextcloud-server-mit-elasticsearch-collabora-office-docker-compose-und-traefik-installieren/") +https://goneuland.de/nextcloud-server-mit-elasticsearch-collabora-office-docker-compose-und-traefik-installieren/ -[https://wiki.ubuntuusers.de/SSH/#SSH-Tunnel](https://wiki.ubuntuusers.de/SSH/#SSH-Tunnel "https://wiki.ubuntuusers.de/SSH/#SSH-Tunnel") +https://wiki.ubuntuusers.de/SSH/#SSH-Tunnel -[https://idroot.us/install-certbot-almalinux-8/](https://idroot.us/install-certbot-almalinux-8/ "https://idroot.us/install-certbot-almalinux-8/") +https://idroot.us/install-certbot-almalinux-8/ -[https://stackoverflow.com/questions/23948527/13-permission-denied-while-connecting-to-upstreamnginx](https://stackoverflow.com/questions/23948527/13-permission-denied-while-connecting-to-upstreamnginx "https://stackoverflow.com/questions/23948527/13-permission-denied-while-connecting-to-upstreamnginx") +https://stackoverflow.com/questions/23948527/13-permission-denied-while-connecting-to-upstreamnginx -[https://github.com/nextcloud/docker/blob/master/README.md](https://github.com/nextcloud/docker/blob/master/README.md "https://github.com/nextcloud/docker/blob/master/README.md") +https://github.com/nextcloud/docker/blob/master/README.md -[https://howtodotech.de/nextcloud-dateien-mit-occ-filesscan-neu-einscannen/](https://howtodotech.de/nextcloud-dateien-mit-occ-filesscan-neu-einscannen/ "https://howtodotech.de/nextcloud-dateien-mit-occ-filesscan-neu-einscannen/") +https://howtodotech.de/nextcloud-dateien-mit-occ-filesscan-neu-einscannen/ -[https://docs.nextcloud.com/server/latest/admin\_manual/maintenance/backup.html](https://docs.nextcloud.com/server/latest/admin_manual/maintenance/backup.html "https://docs.nextcloud.com/server/latest/admin_manual/maintenance/backup.html") +https://docs.nextcloud.com/server/latest/admin_manual/maintenance/backup.html -[https://docs.nextcloud.com/server/latest/admin\_manual/maintenance/restore.html](https://docs.nextcloud.com/server/latest/admin_manual/maintenance/restore.html "https://docs.nextcloud.com/server/latest/admin_manual/maintenance/restore.html") +https://docs.nextcloud.com/server/latest/admin_manual/maintenance/restore.html -[https://gdevillele.github.io/engine/admin/systemd/](https://gdevillele.github.io/engine/admin/systemd/ "https://gdevillele.github.io/engine/admin/systemd/") +https://gdevillele.github.io/engine/admin/systemd/ -[https://linuxconfig.org/how-to-configure-ntp-server-and-client-on-almalinux](https://linuxconfig.org/how-to-configure-ntp-server-and-client-on-almalinux "https://linuxconfig.org/how-to-configure-ntp-server-and-client-on-almalinux") +https://linuxconfig.org/how-to-configure-ntp-server-and-client-on-almalinux -[https://www.my-it-brain.de/wordpress/nextcloud-im-container-teil-3-mit-reverse-proxy/](https://www.my-it-brain.de/wordpress/nextcloud-im-container-teil-3-mit-reverse-proxy/ "https://www.my-it-brain.de/wordpress/nextcloud-im-container-teil-3-mit-reverse-proxy/") \ No newline at end of file +https://www.my-it-brain.de/wordpress/nextcloud-im-container-teil-3-mit-reverse-proxy/ \ No newline at end of file