diff --git a/packages/apps-config/src/ui/index.ts b/packages/apps-config/src/ui/index.ts index e74506d764..18e7bf504d 100644 --- a/packages/apps-config/src/ui/index.ts +++ b/packages/apps-config/src/ui/index.ts @@ -4,8 +4,6 @@ import { identityNodes, identitySpec } from './identityIcons'; import { sanitize } from './util'; -export * from './logos'; - export function getSystemIcon (systemName: string, specName: string): 'beachball' | 'polkadot' | 'substrate' { return ( identityNodes[sanitize(systemName)] || diff --git a/packages/apps-config/src/ui/logos/ext.gif.d.ts b/packages/apps-config/src/ui/logos/ext.gif.d.ts deleted file mode 100644 index 635eddff77..0000000000 --- a/packages/apps-config/src/ui/logos/ext.gif.d.ts +++ /dev/null @@ -1,7 +0,0 @@ -// Copyright 2017-2023 @polkadot/apps-config authors & contributors -// SPDX-License-Identifier: Apache-2.0 - -declare module '*.gif' { - const content: any; - export default content; -} diff --git a/packages/apps-config/src/ui/logos/ext.png.d.ts b/packages/apps-config/src/ui/logos/ext.png.d.ts deleted file mode 100644 index 5365b78b37..0000000000 --- a/packages/apps-config/src/ui/logos/ext.png.d.ts +++ /dev/null @@ -1,7 +0,0 @@ -// Copyright 2017-2023 @polkadot/apps-config authors & contributors -// SPDX-License-Identifier: Apache-2.0 - -declare module '*.png' { - const content: any; - export default content; -} diff --git a/packages/apps-config/src/ui/logos/ext.svg.d.ts b/packages/apps-config/src/ui/logos/ext.svg.d.ts deleted file mode 100644 index 1f49708c0c..0000000000 --- a/packages/apps-config/src/ui/logos/ext.svg.d.ts +++ /dev/null @@ -1,7 +0,0 @@ -// Copyright 2017-2023 @polkadot/apps-config authors & contributors -// SPDX-License-Identifier: Apache-2.0 - -declare module '*.svg' { - const content: any; - export default content; -} diff --git a/packages/apps-config/src/ui/logos/external/empty.svg b/packages/apps-config/src/ui/logos/external/empty.svg index c9d53a1325..c98d5b3af4 100644 --- a/packages/apps-config/src/ui/logos/external/empty.svg +++ b/packages/apps-config/src/ui/logos/external/empty.svg @@ -1,5 +1,5 @@ - + diff --git a/packages/apps-config/src/ui/logos/external/index.ts b/packages/apps-config/src/ui/logos/external/index.ts index b3cfcd2b95..8d67fd5c7a 100644 --- a/packages/apps-config/src/ui/logos/external/index.ts +++ b/packages/apps-config/src/ui/logos/external/index.ts @@ -7,7 +7,7 @@ export const externalCommonwealthPNG = 'data:image/png;base64,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'; export const externalDotreasurySVG = 'data:image/svg+xml;base64,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'; export const externalDotscannerPNG = 'data:image/png;base64,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'; -export const externalEmptySVG = 'data:image/svg+xml;base64,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'; +export const externalEmptySVG = 'data:image/svg+xml;base64,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'; export const externalKodadotPNG = 'data:image/png;base64,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'; export const externalPolkaholicPNG = 'data:image/png;base64,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'; export const externalPolkascanPNG = 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAX0AAAF9CAYAAADoebhRAAAusnpUWHRSYXcgcHJvZmlsZSB0eXBlIGV4aWYAAHja5ZxZll23kUX/MQoNAQj0w0G7Vs3Aw6998JIUSckuya6vKstkJjNfcy8QcZqIwHPnH/913W+//RZ8a8mlXFvppXj+l3rqNvim+c//+vs7+PT+fv+r++u78PPP3fdfGF8jX+PXE8bnaxj8PP/+hG/vEebPP3ft6zfWvl7o6xffXjDqnY1v9o8Xyc/t8/OQvl6on883pbf646VO+3xdXw98l/L1p/XP64WvV9W/3Y8/SJVV2pk3imYnhujf3+lzBfHzZ/Cn8bfFyuNCjHyfond8CbF8XQkL8tPtffvq/Y8L9NMif/vO/br637/7ZfFtfP08/rKW5WuN+OZPfxHyny/+W+If3jh+vyL7+RfpWP/D7Xz9uXe3e8/n7kYqrGj5iijvvq2OnsMDJy8V39MK/1X+ZL6v7z/tVfPDL7Z8++Un/63Qg7Er14UUdhjhhvO+rrC4xGTH2BMzWxbfzxp71G1F7VPSf+FajT1udtDisuPYvhTt+7WE9779vd8KjXfegYda4MUCT/mn/7l/9cu/85+7d2mJyODva8V1meKay9DO6W8exYaE+7Vv+S3wt/++tt//ED+EKjuY3zI3bnD4+XmJmcPvsRXfPkcel/n6SaHwyX57UZJ478zFhMgO+BJiDiX4alZDYB0bGzS4covJJjsQcrbNRVqKsZir1kzvzXNqeI+1bMX0Y7CJjcixxMre9DjYrJQy8VNTI4ZGjjnlnEuuubnc8yixpJJLKbUI5EaNNdVcS6211V5Hiy213EqrrbXeRrcewcDcS6+99d7HMDd4o8FrDR4/+Mm0GWeaeZZZZ5t9jkX4rLTyKquutvoa23bcwMQuu+62+x4nuANSnHTyKaeedvoZl1i78aabb7n1ttvv+L5rX7v6h//+xq6Fr12zt1N6XP2+a/zU1frtJYLgJGvP2DFLgR2v2gEC2rRnvoWUTDunPfPdSIpsXGTW3rgdtGNsYTrB8g3f9+73nftL++Zy+0v7Zv/Tzjlt3f/Gzjm27o/79ie7tsVz6+3YJwu1pj6Sffz+tOGsDZHa+E+//h98IXY3zDXN2aphxDgn8cT/oiWAWGx01jw+XQK8smvE+L7A9Yyl35JusLmyX5Hg6auf1FzhXycttvnc5MOp8YR8YaW5D6+/iABIYeWRM+mwepx9z2Alhp3bDbxG9ZHXditXNhf+CfGWqu/snEEoxFVGm5YyysD22YNA8Wd3QlyxxUUvv8Yh6cIi6t2JgzA5vYZD4CWI5LR6wp2JRZg1WbqHn6zRiWSre+1IvC2BZG2dh5BqYmt3J69+7yx11JNXPaXMHk4s7RCbrE++S9d5fM0RcRfOSHt341e3h9X1u2Uju9vy1j+SX/n90J/3y9vmiJf1sgv96SfDk8cQdk3v90vZUWYo85a8kyvgCelzL7d4yGV2w4/dz7HSNklJZoa84+R6hrFJJL2Vzs9/eRP367tAYX50VqnWu0XQ/DsOdoGUHHuHzC2xie/qe6jH4h2dTXd/fO1fXzoeu02vx30ftmHNVhNSQhsfClv91tCxIyDcrMiClCarSfKDBMI6gDXeTm73vGuzdcrkhgmtXm2kOc6dttciWFAgLhEcuca1ap5390Xwojr65DLD3mWcbjf4u7fWtLY9d+sJjq1ncpkJyOn8vi5yjfC8DSice522Y155jlniujPezeMI8L649eUrkWKKeKKM/S/XuK52Sm0nAf62kp44djkEfVvcHARj1yz3XS8Zebn128K4mZctoHs62zLvRV6hoS5pFV0dNs8kIuLy+xKavNC02mcBu2PdMZ5b+tnJFvxSWOJ+Ws6tk5Xd82ddsHU2V6eWhgSAuth1QhsmCrshRkskuPYkPfyV9Eve4id4zwERYmxrZ6KCxOyDKxpcS2nj1vmSFybRUjfe5QXA05b8CetFeufmXpgEEvaJK/0Nr43GWlkGf279xMq6UbG4a/jkmP98jT0vwoNL9vm2dlfMhcu56Wh9swPM2o1+z8XykSGphyse4euOHbwZVdaFPPfX9mCzpTl5+NghbcAR/XS3di2bbxflktbfwVhIb8V5AtcCVOYx3AI+SiPQLa90VuJyCS84+94KFvI8dveuMz8rWEHPPEm1IALlcuHOCV4A/mw9ycfNkyA2+zohVeUtSZXqRgP6mwMonDt4G5R14lfjJzM0Q/+dSfwdN7ZCsBKFa4NF6caVS2i87hZNRxZpTjNiFAfGGlVTRt+W7ggVuAeLUBJhOnANnViyCU03AmOs4nltqZnazwQD8+ESQkEh7ESQdPIIO0D+bF97vCxQrKjaYHunUUQrMwY9i1TsN/EvArtyj9JJMDwxPDNvV1AGJCsqYQzUbmpzx7UdsETIxxECyNBH5k8o57DKhR+XERDHPA/JwANBFMHoihFMtYQk4dqMdOCKSKVMQtvaqJZ9BtRTgnhhlttJ65bZrwO8kS6olV7s5MCrbA9swomIlrrz3Y6swbsMpI0nOSGwzPNTAla4ac9DWG/UDfkRgQkexCa1SmpPD/RW3O1NxEl0p2/rwFq0XrJnUaauf7GAQE0QtozUwuTfBSCYKLRCNPAyrVivwvjxCNZFXg8kPjyVbatscUUABAUwhILkI4hvhmDBOba7E0/+gFT3IfyO7MuuOF4Hlsayb2FrB5L01pwAoDuQFEBEn9qqMhG2MHzCSwJSyAK9SGbp8jkAdbqSfh4YFCihPU9ZUn0GYDb0Jzj2UmsvVhWI9QMQQ39fGAKEJAsujDsMETyjuxVEIqDBTN69oGAUbjUfz9W0OlcCf8mBwqJeG2VuIe/uHY8bka4RFYP4aC40YSK5k/G0YBaqBpTuMEnhRqG/PhYJxN6eShAvf9E5b33WlVaAHzZIF1gjYgEaR5e3JEHSAX4StCEjYK0Dzg2ey8WsgrxCdvO2n3cEA1kxC4gJsv+wAoAz8UoYJSAF3Oa+tXfnA7Xk8ciFN+DGQf6+EfIPUjwGYE8hKxfriER28ohvNhwhReM3DmHLJQ5x014KYVaggCYwplQ9cZsGFpMQjgFS6csFpQfYCmZ7MhGQsLJRlB0nOePmIdj/Uwzl16+prFBnBAgjoFckJFF2E7BzOAOkR0J8kT/xvQywNzpcUuBUCyAmUVfSqWAl9+nfbt2kqsb04A/sReC6CDSkPRK0Thgi6VZE0KDHyoHYjritCVzeqmyyKk8CmtVCEWJGRsDgVJSqy5cU4pXEt5ILlYBbobJBJDBr61NDKOdaE+zS0dBHyBzY9bT00IpyIBeWY2H4P8CwoBXgusVdUBHcV9M+YoUIFTuYehQngEiiHpSVf2/CzkjnHPQJ8pj7aoAiJnH1x8Dt+PFyQ/IloI9Rh/pa5NaItwM/IoImO4ug4BLWnNMRH5gArsODqvE0IlYq+FXJAAn0F+DOhuDjCnY6ZdweWMUKgiRbZQnkLnTqoORbeSZrRNZ4oALtSZZAHGDybaAUOYGdDEnZCU8h0Y3tK2J9ZB96BJlcVBpDZERukOXh+R2pIIYAahLit/MNmUDuZYQMkbCIXva4EBNefy6613i267pgcN/0WBITl3B4jkqpuRIACHyYgX1BfwISa7LZV6yQVZBFhp0l3RmVtGhogmHfCLlcrOdTH4BPI8Uw1MXGIVBYX90PDxwATQoYb8wOy7Ky4Sococ9iRRzumAfrU1HSxCYcYhdZekGSjcVSuZJvgxgeGuGWmiCaQOIyaljmZMVlQ1LsoG3eHonHzki6+SNgXRt9Bzg0IcdmzRe0VlqoBZOPKj+YY5SVShrcMxYGDq8qsW0RNYjfER3gfi0hleoBysxuAyJ1Hbia7Af7+AM8SUwNlxR514AvI0ghW5J7zjbkDSZx4PFDsAgYO8NA+UQysi3pchuNHAa7ZsvjuCUNF8FwNMtG1E8LbHeo7OJNYmYUMpdRUI91qkTBjSGzB1SS+Q1L0J+scNNYWhi5Alp8DQlYHrg5e9YwEIawXfEft7vkdcPum+dbkFSQc7qpkyKbDQZPFK3zPOvCkiG6YJJaSiHallCa3DrW+jzP3ZItraXCBhCkyi5YpIvmFkiDiBDhkvDWhPX8hDyHunAxW0DAar8URqwvZDhaqcXWei6XzZzuEJn8gBQGbyoKGNGLHoOq2LmFzMW5SsrfcFD2RmD7iiABeYoEYNt5rVJTdAFhh6A6GfcMNCBLsACY5IrfSMlzZyeFmYLkIa8+HjFhm0zxmRsbzMujql3Fl+9scNftqcALYCA5zRoDzzdnHpi2WFfQPrs0B79uiJzcRC38eAIPzX2wOCv0PS8DTbc0PWS5XnUApYZyOL1j8+qyejDs/AtbDQoipwjbsuCo6HAmwNH1sonQInEaOh5WyE6YjYr1n/jSI1me4QmiCxYckMusfYC7RaqIpD1CWhEoTpW3RiywXyQiLwMHzCKNUxGQBCnvGZDOPBe1dwI8eox7UdkrTQdXluaj+Cmq5RE3kXfrOOQB0E7Uy6CREbxOwEnDjoUc8XiVA1Det1lykEg+1W+JGbE1ITqzlzz0/SrqvKTDIjxuGEB+M91sU+ImPRBAbKBNLcsRzfg1pAkKbYkgPBuTVWYglZGiyHTMHwLpwd080qFtEG0twytldjK7Yl5dKvKlXAnOTzr3NDYUisMjoFsuThvTjMJrsomlqGyIKZeXl+KpHkuQcGEXhETRwgXraGuJV4QEkvx6ATG+DDZEzlpSR6H7vXkDnAKq9C08hg5hISHmLE7ZUMAAVVLQEihy9Rg8VhX2k9Nukj62ELaC9kme5AT3t1nFEYREYf9UY4tcPFoIJQlkLHQDGIz20FudLnO71sDoI68rIQimIQG7fBACFlVAqhy2f8ARaGNczTptDtxEQWiCryz4SGtDvBOjj0s9kkWDGES/NyIJNoCxUAGRiB/OJ+5p4j8qDL4kZK8KuqQi9k2ESgLivM3DpnWoPl1hf64OA4sG66qIBZy7Qz6jQTOPhNN5Q5BjAi3EidptSzWCTaTCUleQMi9qGfmwLkvHzrDwGM7aSVo0GumDIIfSOthD4OLAr5ZnkGMh+nPVcQBJsBfcagBU5ZfwbKrZ9AoyH4wfd4iU8lxIgdmKzEsLCBGsjMxthBJAmCCTx4pUMUAb5ejtDmYPl4WP8QcNCfg3VncQQSpsGFiFvEUGIutQs3uShIeVxStB78OvXHvY5EHMg4WMFSIu0RGbej84cqqGU67qLbM1JBPWnazVXaOmSMmkCmmSAeMaA1GEgEH9cg1YTAceJziax68uMTvBlokAgb1Xgn4Wf4PgrD2igoxu8kxX5oDcjZgALDEuejneareO1OFdxj2hwfXkJDoLGxh4ATJOgRJZUpWpas8iziPVDmuwhx7nT2SHhBQkBuMENjzEw8by4KB0mCphcoN4vTWJtMgeLFxDUS/usteolgPeY9maa2x3J51RMarTEiD8s3XAEAFPtiFcYC1QgD8RTQYe+3LBbWTQAsygts2u1wf+n1Jh5xm4uYmBnbEs1dokAlQbA4y6rDRYRYaS1uyqZTkDMrsEnFZzgAt6IwjY5RoFsnyLYyapFZjgUZhcyG5zoaV0taHjkMk3NDO68hVfwCOEM6LTY7lAbULSMLUNfL2kLppA5JJRPCqfQ54kEcD+jAnZ+8pqTd7LquPeI2iA18EgVpkPWYn+xANkhtcFvM9WwSzkqdp8kQxH0cTcVen8VLe6g565H5a1szAY44QHaLoJwZNWDHFfcQLqjvDOXC6xsZOpExPQdG1KShTvOuQjj95Vm1LhCGyN43Dt28j4jIMOMu+qKyGjibS01VBCBUmbjlt4ILnhUASoFDyRZTwAICULTH5vf+XHeHeFe/Qj4CWCb+uymFISr/6ARTxPa3U3n1FFT2Ky+wK4jsq0eXeYGnnSu/jRP1E4Vc2sWJigyoIqEoBwQfF10os1mk+3suhIsai7O9wdIqDAx1juqy75ebUHdGNZAreVpMtfZyNUyEQ6G13VgJwNt/EqSEB5Ri5VsZS1y0haBB8BCTGowrYiBuVT3+Z5YHcnInd2XfVi7i8gU67vKW6wAmXA8wt5DGVwZZChfCIPJa5B4NIlAPGG4DBLQ7IkB9xcyUxZIln+i3kGK6e3gkSSlceGDSkuGczSdO+tm/DWk+BsN/elNv1oqmCjL3G6yJtZcTcEjOAK83IwkUQ3Su6oaSNRRJBxXfg6dKkEGIqVrZ0OG6AiQcTkwBU1EB946t5Uw4TXj2pXw4OsGBUivC41MYER8uaqGbFl+wQj6rpsFgdBAaQTyNwY+TBfrqKnoOvRISKcQnkhH4gvwJFUIYNQbKSkXDxWlLDUje2NWQH9Nr8F0wFKro5lyziyykZ+jDIciekh6whEVFZYSLcquiIgcTVoZckUuSkteWS9VG1riL4sHWS4S/CneNE3TJDy1ZRFYO2z17LE5YpKHEDbMyAbgK+Ycu7rqF8CCROJLRjBWlUkuwA5AH4DRoVI7gCHuhXZm2OtrqogBMNUD4YXQZ3EqwaKHC0WLb9KgRJ6KyQrawvCiAAgXOL7om8DmE3AYCmiIOGiEi64kNVFYu1x4gunDAl04loxQ8ayvDhjKSikCPKczELvOdJwLAIKJCoB7dM1msIjwgYKo9gIzFc/cU19kdfq/FiYB/hMuHVDkzE5YKiz1v0A90DNXONgRyX72FYsw3NOqxdVPOUjVKgjZzAlC08bMl6YQNzHjVf8IEVNNnl8uTzfAVTsLvpPdcBclX3QEOZjczObrEdZkAdR1tLjKYlshCwvABOq68wlb7am39d3BF5gZBWUVMAkRYUKKD0DYTaLCpTjdWMP4bhaEsoK8h1qWx8l1Qk8FrEz9c5DuZBwgAfzB0jkRmCx/qGxaWsrpAZLsR1LhcZ5Vz3xah3fb9weKQpugc1oZrVAu3IOliL+EFhRG8VNzzNVRyigt5N0fzUfvKwq3chkRdFE/HCzVsKNvoXDjUDcPEe7gWIdyAJuAielsnhJ2yHDd5TYDYgGCCRjQU0LjksgXdH8XTw3NRwii3lrxP8Fte7ZcO4b24vMCE451LGqkdCKAE6VQtoqwQnvSNXXQcI++N2QZAgwOVtyEf9fdXtwg8SaIzCHR8p3lUtRR/XZ/dPVzOsSzk09aRArZIwBvhihctTFY0NXwJAhe7SbDlVJupQjfO+q4nD76THJDpotgQHeRqvojRTQsIEq0zgIshWIlwcgkpJTRQho5uYDDlDlj4kFRJsnpEZG+8CPnURRmYFVYhH3gXO48lWwBj2oZHE8nrYvXIJSnFcnFgrbA8JkKQgseSyG7N9KINKROEOyCbWspXe/izXTRXW3coQ20CtqiFQedLfaY1uydIFcHaVnR7UbnCkLt+IkoMEDTQNkReSFEi8a0k5C3jWwUBLDCx0akRBvw9N8tcFWEuwnxAyim+SCYsmUroE98qxhlMi1gyOymFoOn47fFjpk8dF7C75KoUMEsD0Zf4UgcloAxCltGQBvfphT12K21fibq5lchxGaCD7ULvGEKLBDqnt8i2ZsPlX013RGzUb2kN3AgWUcJNtkeBf8U01BIeLBJQQ3gEk8AzbEFDIXLdeBI3WCeUO0RYKzqvpr7FVA1SK0o+hFNnQP1cjAuQjkRrZc3RdVfb+KQ+ADlvwNEKAnCTDVh7lmXt7xVhkBwSNQAahxEvgp24aU0ICGWjGIRo34dfyCpnOOjP+u8GX/NHQy0s1tYTlgW+SkMiwXxEZQba3+COyU3lvlZYQEKxhVwldXkc1iEV8rxAh6h0CbRoANUHbxpAMIwVSXtCPB8aY1YwJwLx6h34WkHaDLA1DACqvJHRLKMTnWV4UlYuBT1glPm7UEk6B21QkP5xYNK5Exqp6BkcQFEhJy0H3jwAlCIhtRelStChVncxVmkCDqBWTjG/zIp3UdVIxBQpC4yEgS6uY7ERiV5EmYpOdFgMOjAsiaWVMPywrEZWqwsVm4wHMQECw59MlvWLKkVuX2uBN11EnBw2IT9RVFrR7AuihrGJxn49/5K8slAiRpq/rzmqnoGQgwAgB4Q4BmAUBkV3Wga1paOjC/4D4QoFBETervlzXUCSGCdb9eVUGCOQz1C2W765XLVgdxDF5IMA4e8S9VZ4rqskJFoBFXHGAJtTEhsIBTOjI7ygxDdEtEKM7wsKs48hyk6jgYINnGsxPqgfScH68Az8AZPmjaDiz2m9dg+QKrSBKrKcoL3uFmkFZByyNOuBJciJqKC8rUYMA+r6jG7iPir9+WVhkRd8QbqsqmjhiXhfZDZxOmBu0VNQEBlN6hCDVoWAeU8LlJoCarqp3mgojpLLUGMbyKK6Q4DToqyEbY86gGrI4GK0zuqIp4eJnD7kfegvRhs+W58M+QAWpMk34YAoQjvqI4GBCvs3C8lfwOgvd3E1wpNyCohuYQeXI6LAOPIi9kQuBxgopYkkl8Q8wXvkAsEAY8aRwuwPyEmw0OQAHuCvoQ9IXd6DIrXn0RLQtmGxsCIfeasVlsRsH6VvGTNp+t8ejXqKm57F8LO0byDi4DwO4rQkgJ75YbWKxmCm90XlcUVaRq15HSAJigHMyMsT0mVs9FLeCk0jjKAHWKCV3yDVk9K9yRLGl32FVwLmLMlMMYiD6ADIwkSq20osFiuxu8Z1/jEuRWpGXTeIMqbwiEejCH3hHg5Q45Br81IxhU6KsdfebD4mERDoqaF0OP4zADLNizZnRUhNCcA45aas/hPkFtuYWSCxcD6uKxfAyIldcODdLe6tZrcoBVmVwwMsfLi8jX8N6qiKH8VWAaygp138MwLgZSB54I9BYR7pWU49YUpwA0KHk8960qhKY4JxGmudoDp8FOaEbNDHigFNVt+02OqWFj4rHBFYBTyiIRK4tQ95YJyF2TKA0x7sqxrPYOt8UuLo2OkW1oa58GpBGn6s2kKizEpl+9O95iorOArIjvBW7Y5O5iIsKIFv8aMp01CGrGxJXNL/WwCC/YBEExiOanDDCMBLFJw881qzrgCkhii0d6wT57IIzxmk3GHMWCPkKHwnK7cbkhNBSVNHDFYMpMQeMrYZVjGS5PAtArYEadvqniPFTPALvxlMAJADVgGrsFSp9cujhXM64HV1tk6wzHY1xR1Dhs59U/rdSlSboHFWAzd1cWRI4/BQHh0kg637ne5SkuH3UoNF3HhXmVnXi3jZSsq2n+Y3bFLDkG+Cfl/BuuUSgtdfOztTVxrwttE6emCBzwgL5Wx8kC6JPANc1HGEHXVoGyc2z36QH+kgEw/NZOpuYRSIuEZAsIGhemGkVHXquiAOVYUXbAE1uORpK50UilKtRF85a4oY0M1fil5mpV3ENV7OoERayIevcbIQEbL9FOQyLy+PiW/qoUrmmJTCQjM1AY6jsmVRGwT6yW6Aizahi3edBJJtnfifnuVWsg5pDxoI8sDRRv4thduYqYu5BJmpQVIjzfhCZOQE0AXm+WZGDbFth3gArCw5fBFOi1rgEhUnCqvbF8QlignHgz7IAG4jxgo0tc3KkUNuIFUG/++TS4EgmiPuICQRqylssKFZeKYD8oVQKpqY2GzoZs0DVsJltMxKsvOBAlRK0GQl/rBfgh+1R0EhYH8H6oONTBDcmDqmMu2121SWFajXWo9NoS0YikqhpxUeUqaLJH84UkJ7Ikqn52xcltowlUJQv4fRwkDlwNeHWLNStGumA3iBGIDdflCW+M/FQ3B9OsUx5TALlItyyll+7UXEZ1QQOlGA5uhKTjWg5prSnxiFpHwbxCDtpUBxfU4MXTxKbgDE2TVOruV4hPvh8vY+wxYVM0T6JeAwzDG6KoZdXS22AS5rKSS+QHtnb1a/LGgy7uhchzCL4ApRxZAdWsi3o25GPyKp9pclkvQK5JjZLNWeOmAOwVM4OuOJbkSTln6qQhrJGBYcRWWprg5VUTT/cEe8hD76ZnwGNcfldt/nbZwERmdZlh63jaOIGEgYwQkTZA6lZVcFDA6k7IBl1coc7m4Brua7O3wdppO3vXhIP8nVNh0cLy8N1WdfWIpVDk7BXZgFyXdlIuqLjAc3mUmhCYKPLZbquq1LKCrmVNkkJ4PBmc4sIIbqgrwHwhFQ3W4dWy6Y0IyoMDIyxQ437gWFU4mapWVFfA9KcsQkcKQRMr+PRq1hpu0M8BXi2sxpjYbhQxLBNVAzXpDgXZBKHIfvzOqVKmsaUBGWYDnUzOD2gnJQg9LLHKCigkDfjJ7gtL0Rz6cWQzdITBsKmj6VmSNC3JSFTWBUQCCGT6YtOAVtroh92ed0JeX3VPEN1wCBI5B6VIFC8mFq4gDNUC4XURUqaRVqwPsg+xj1QRy7IpXDxCIcDbV1N9KtzhkNx5jfUF1W/QI927YVMWrmoCc2LINajKK2s+CuTq6p/fAtYC6ShbD7ImWD6rnaGxTA2TEd6Qw8DlgDEIBhwiilGTkHD8TtBkEdlLKYHc+A9WM6HvVOw5Tsk4NA0FQsE+Ym2hzCKAwaOos0KT4G9+vbnuTowDNRkhQQSBLHlxQ+rUwALqoKl/EpHLRAGrrQkNTHhU0Qchx1KPDpCSYdzQeKlcVLSBfoK6puhYzDEgH3DaQcdDIP2CXANINu5gqesQNY5cVO040r0Q9VXLFJwaPAXngfgAdB3bO9TfJAGBoFwROTKzMrCDWCA2tanPAxcgCtUK7Gb4R7SEFtGiCG4d2cCvsWgDa2q8UDqaiWkHAO9D8+WqohlSNancrJojKnNgXhtYK/AC9VX2QYUhUFntCFJUHcTptjXWRsYRA4PAQkqM0FODxu2ZE/KN1YBIIndp+Jeyo8N6HNQjT+uYTIkfjXqMzM1nFEtlkxYrr2dAmljyNMUfDWuqkkHSrLnGQ50XMsysIbQiNdELbIca2VMiSlsBaDRkgkqUC6DD9+MIyHCSFJpRq6qQd26rWdpQKp5E1llQPLB/IgsoIhcA/kXSEsqhaO7/mrpxcCEQ0sj7g4J+3SwsA6Jc88PLqw34utgYyqpDGTgJdkXEqVFfZc7UXMTQKIsmD6qMkrLOd/AI7wkxJKLkbmSTFwZrOl6DR7yotIl4MAHDB3FBaOqYYZZUw+cvpDOSqrlPQVfxonYIOZCXWsjxTftL7pypDnk5pAnwSvL4vsAOdC0KhlARCunWYMuqOvM5n+MdPqk5gXDQwOzViGV/Jab4Sgo6e6Pp5rA+h1DqMM1W39Ycjxhqdm4d1oFoCpYwA8lIFk32fq9eXQ3AzXcM6jXK1NiQ9j9qHWO6HOCABbnzHbbCzisZcU1qdlYN4ABGmuQMqT68l87R0RbkILuqXlTRyOdJQK2hyhbEFT3ZrBmBjk2PYk3ip6odymrCQVWnHEY+1dQZQIBBQ0gLnVgrj0UK4mGWBjSIoGXl8EXQhw4HxIUfCKH72UpOMllT3RA2uWqAvQ2d91VZPzhofoKxvAfBw6vhbXFE5xVvkwkt0dT3Tcl9hiOz5/211dDoSWpmvtMsrmi0b5jxo6TVf7O07A+3cOerMzT/vAuO91XxoO+CloSw1GvlWnElEJ9jUbKKqzmrebJ0GErQpLEoNBTiCM2kFgSqUacnRpToB4t1HFBz0f7NohOQM6Nr40Z+ExroFEItqwWPmvqa0SbcdSAFh4Xw0byAhq3wRaxBngCkhgIjpoZlrKJ8bVDULHtRDkKQuWnQV7MTaNOJqAE0gA+0XH8htlX8XUCVhHpx7RXnpsacEQj8Y2V0VkSJps2L9+E1FY2IAdYUne+gQSROYEyVy8Axn5EhrrOjQMK1wo5UnYqpU5Si0EmaVJoqkbE0yJE+36mIrbSIHmsW2LJy1ZYqbqiDozvgzSSTe0BbkIsxawga18GN4rMMMSjaE1JVjxFWLWF3fBD0hxf7TEOrdHVVz0a6XagkXFZSPT6NPbLCKgZOVYDiZ/2bDpssVQ81p8ZNEhoO+bnUdGM/tsdMiOU0inyk/wFgDb7oPNzWeDP+EAwHxyDwJQeQ15tUJUmdSn/JUtAwjTYvSKeg7DSmskJQgUoDLl1ihDi8YKcnpHKW5JRlynL0cToMcJjigoU5kb/RhJPmVp+XQafmz8mfojLcO3ry2lWtRDmeAZKxZkSA+5zhQQdrJreAIKqrsVcastoCCMQNaIiovBLmxXd01pW317kEkORqnjsUN1Fd4AP+3IIOo6MU+DFrUtSwiW9Q1t5g54CFB+8/dJIPbQDpKps1UnXGdYg3olbKCmWJxGEHcC/CWAk0FJjKdDpVoMMn45ul1wQku9HImbMVq+bwvsoOT0LpZMVRAyEdFUi6DiTKHWYMxNKwA5tFqKnZVVDQij2N3gdN+5sbaMCheSkNN2+0lsfcq/aQEPKoA6gQLSYr1zU6FtkpHcBpOt6oSrmO6u2zlsPMYZ1qbXnkjZaDZckh5Os4KUSTTiIsPAFODsvZJCPq32xE19GQobl94BQHOdmzgLPbuDPoEEJH35IORKwHnTAGMNySWn7nbAmurvvWmuImMZXIFCyEDlCgXaoanXItOuGA5uHaWcYOQOO1H98BR5AlSVbVPkqAOnKWi6sKyxDxa0WHMvwCmzUnTwQAXYJJ5K9HbGt5PD6ES4FxscfI+KrR+lG8RosU5bcfXkgtqHje/BTelajWeY9GEoXd+7lRk7hzaH6Z9CZTeb2jATcdv5s6O4RpR0SEdz5VF9RbX+8WSB0kgEZl9BETn8GOg77RgTZcHTLgql2aWTJQGT/JXg0Hg0Na01RzJ3t0jBXKs6Bhd+AwoQYHnLCJygSlI8fuUL1LAVmbjsaBa/PijrYOVBgaRJVStbm6DgZ4fOxibd6pKoD6MxyraTM1GBqvEHgLqImQTxpZcxv8G5perRKEsO+CV6tqE/GdcVFnFlp9MX10FvGybOpZCNgEpmg3QZPTUS4PD2t6tWqyP+v4iWY/V+9DiIIPa5/OX7f27SRcNyhPFXKV9M2D2Q0L3FUnVIeiaL+b2tbqA3KrQO+xZyrU50Eha9Rro3CxOAhLnd/FCGni0YG7yyNgK0AN6gaS67Uf9m2GkoUFNDMTvVhxdjn5qc3SbDb+UeqZv7lAV9UEArISBA6JAArqnY53aBa3hqUXS/N/rEZlfVszPIKas+oxy+W/GvNxKO/dNW7N5khgYmxg8lXh/6tGLbpRJx4J0tr1WRiJJEE+IaZwCs/gFSRkKYD/IdsDRKRWBSI8qmOB5NF0k+YDVHX4tEVVjmyTvUbybTWqN3cLoyLMkuZGPlU+nETWoVfkuCZdTMfq3gHWpVNG+yn4MkNVdXPAWBvSMR0tqJKTrTpVdKvOLVzNbCH8SBBomyza+pAJHbVkG1QL5FXlOTUkhdt4hrUaycz1zqKzosQunFnVpsVM5lbVYyF0nhraS5OftUKOOkSVX7gFnQjFG5IdmlsmVbiixD6sJfsINLTiB6obtCHGsATswdIAqEo0peqMcCUGIWqobWhSDZWCsWJbrubYUGsiM41gqWNFqHidZkf8xrU0zwg78nwJwtdICOyGFJlOmdZ3Uo+scyxpIV8hmq3ByGkZaEzq6LOW70Aj/16mIUvlAGRF7pasWgZ5mbPaASqbI2tYdEPZbK84AAvf0VRUoM4qjzcnhwxWUfP1t/RpHlyLyrfkiEpmiFRC1EFi2HF5UYxZUc0PcgjqpYTTn30geHGNpI4nDFDxpDq4g76oyW912nTIILjdEFPjtaony9nU5teIKZcVw/AZdjvqQZC6ElTeUCNV3XY4yxe1sHQgUObYFzs6FxRQ6dy6hImKw7JvQJIOCvkJu2rKfmRCNYMELb9hswkSQxe4bT+cjnAunazeJBASdmuUvxWVAdkj1a8qrMaNwHAk15kC61eFhdpNc9Vvllgz7COdNwNjQCWBilbRucLXmMMxLrV2MMgIvjAhW54TJky+K3ZRh3ZwluA3KXIv2zZ00kIyeenckD4FAeTAmCAKhgb+IvIUEDlTR0Oihrg3yqnppBOikT05cL8Ekca2m4SddUwfpD0afKCBehvPQUK6MejzFzD5QfUVtUwj4UDEp47mcqoKkHVkpKQi2vqVHsEgGNhjXUJSR82LT00J1vEcO5kGXFQVWeqDFiy0k3xAzR0NJwJcGrNgf7vKlzqnj4a0VysFzQETqHerjlFVwtYJx6tSJGgccEe4cdwupnZqxcG0AakNQibq/A0rrCFDzTrNd6LcZjCdCmntpzPW7i8cwr5D3YGrZimJMnRUXqNyuBokKxAx9ckD7uhEIsznWXW8h4ZvNMmroxiyf1VFeTly+D3J4GT83VEzmci7GqoScUFfDq0mYiTVjFAhpjNe9nOAQ75EPdEP270qkU5FsXEnyDhjBvA1OlCPMnDwXeF1SZylOlxKmu40vtGhQFWoz85NkM0+8t4YXcCs6zh0UOE96xMZeMp0ycQ1qpIWFUm9lBykleXXJCd0xHwcjVFI+BA7Hp2o7m94XZCkaTPYwruVVb9B2nDBOr+n15n6qKuu0wlskHS7BpngQ0SzKsmsmQ4AZrFXlpxfOixYdLIGSaRzSjrfjnXGURAlOtQm8tfRbBUjZJOgnCMJyqtrNC/ZOkpRMvg6ZB72QoMqhGFSVQlKUs05ppF8F8F3f3RuS1pxbVVQifAMTfEKW7NiOp0ZnQ6rIa+CuicgyptenVKHqK1Q4DiPxT467wP0NLWVCSzNZ2By+jshqysd20ltbp3BVW5GeIG0APyPyu6QIIFXauHpXQ2Vd/xHuy/CxwQSIlhIDKVhjt9ksdWtXLiyW4CIhhCG+jlBllRDO8haX4BmhUjXiU3NL4GTawlrRZCDX8pqhpqWPr0Kc4nhXBrT1actABBDZWAWL6+X+1knWKED2Rcdo2+XN9neVWQgDuoNISacC/rmdI2NyLYG1UBU2cZ9yYsouZDkUM0V9b6ykEaZiAfH60Lz+riT+WbAYe6dCD2536SObURpq9FeICqBjWGfbiQ9YJVuOv8iA1QdSLbWetuk2bo1NbUAP+vgaOQFOkttQhnTdO+ORbPy3gNGaCh9XEfl712jTvg2dLFKFDors9+3r0kN8Z+iudXKc15HXp+No2KWqkx3ipV+P23rvh+7/Q+/fr1QVXIu7leHoBTaKEZLLP4bc9LkKDRAtOnkaxzCq6oJQR3/Djp22I7TiXliFTWmcicW/SId9LlL+nywzxkKUnzir7DNQ2XeokEVtgsfh9mZ0gHgoEOGwAs4iw1QacuCKvvZH5Ij5XekWh/xgIaHgxACs1a5o0bI4Udh5wFF7wEedVXI8HxYU0TKm6XFJEV1KkqUh1H1jVtQFybqIwnwfuItfXoJ/Aus6vgQ8lifK9VAl47HJSsbKIh3DgAHy2LY36J0fWeauaqh4XlN+NdXfjYJSERgGk6CBoE5CFY9CQOFJUaHn6GJF1ylTkajLMCnRXqVq+MNu02kb9Gc4TIphQxC6uByirAKgIpD1vlw9WES9yWu1YeaIHU0T4zlNR1imnlotHLoI7V0aKRpNtml2YhFJILXyKdxOaV+ffTY+nwCoFSzOJzg506QQOp0za2SbV/CGp0eDg6b2RqGARhuYU9uR2P0H+SRMiKaq72DrJ+xaeT2K2u1X7669k9+8Xe+cpvFgXCb5Rnvk5SQVhu/cE6Vk9rqfFSMEM4zbvyZRoTVeld3RC+hCSKMfdCgs2PJp4aXEbxgJBmd2RTuPISu85Vz6oSWPuHljeXpPBXgdZqOCzdQWYfD9VkC2/mleVYdfQBYoJapT4tYkJ8HLlgwFC8YOiHk+8oZdm5AnXbV4EgpVZKWButdU6FWhwNRCPoMEYkO2FqTBwkY0ockdRVPxAJXJKuJRH2siQbHMfEeJUbYda5oeoOuDGJAbCz8y9W8aQd838dKqLPUFMBv/LzjgFRVxCWU+alRqK4yAsCGmtlLpR4c+Go6OJFeV4oMeCXvNhDnqiw00HSr4pGjPnPpfTSXx6IQZTqWz49xsxgXf19dWBPYEoNFh88kHEHihCH/yC6+/8STPhj0x6/u1x/8u1//f70QTlUfjfLfDFs/YAmO1XQAAABnelRYdFJhdyBwcm9maWxlIHR5cGUgaXB0YwAAeNo9ilEOgDAIQ/85hUdgtJnzOGTzY39+eP9YF2MJBfqwed3dtiVWQ2Pw4HCqfkWU7oFdayLgb8fQbHLli3bREwVAgiaYOqoevghuD/aKF2FsvbWpAAABhGlDQ1BJQ0MgcHJvZmlsZQAAeJx9kT1Iw0AcxV9TpUUrDnYQFclQnSyIijhqFYpQIdQKrTqYXPoFTRqSFBdHwbXg4Mdi1cHFWVcHV0EQ/ABxcnRSdJES/9cUWsR4cNyPd/ced+8AoVZimtUxDmi6bSbjMTGdWRUDrwhiEN0YRkhmljEnSQl4jq97+Ph6F+VZ3uf+HD1q1mKATySeZYZpE28QT2/aBud94jAryCrxOfGYSRckfuS64vIb53yDBZ4ZNlPJeeIwsZhvY6WNWcHUiKeII6qmU76QdlnlvMVZK1VY8578haGsvrLMdZpDiGMRS5AgQkEFRZRgI0qrToqFJO3HPPwDDb9ELoVcRTByLKAMDXLDD/4Hv7u1cpMTblIoBnS+OM7HCBDYBepVx/k+dpz6CeB/Bq70lr9cA2Y+Sa+2tMgR0LsNXFy3NGUPuNwB+p8M2ZQbkp+mkMsB72f0TRmg7xboWnN7a+7j9AFIUVeJG+DgEBjNU/a6x7uD7b39e6bZ3w9GYXKVGTD13AAAD1lpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+Cjx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBDb3JlIDQuNC4wLUV4aXYyIj4KIDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+CiAgPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIKICAgIHhtbG5zOmlwdGNFeHQ9Imh0dHA6Ly9pcHRjLm9yZy9zdGQvSXB0YzR4bXBFeHQvMjAwOC0wMi0yOS8iCiAgICB4bWxuczp4bXBNTT0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL21tLyIKICAgIHhtbG5zOnN0RXZ0PSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VFdmVudCMiCiAgICB4bWxuczpwbHVzPSJodHRwOi8vbnMudXNlcGx1cy5vcmcvbGRmL3htcC8xLjAvIgogICAgeG1sbnM6R0lNUD0iaHR0cDovL3d3dy5naW1wLm9yZy94bXAvIgogICAgeG1sbnM6ZGM9Imh0dHA6Ly9wdXJsLm9yZy9kYy9lbGVtZW50cy8xLjEvIgogICAgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIgogICB4bXBNTTpEb2N1bWVudElEPSJnaW1wOmRvY2lkOmdpbXA6ZTZlOTVlZDAtZGM5ZC00N2JjLTk4M2UtMDk4OTIyOGFiYjBkIgogICB4bXBNTTpJbnN0YW5jZUlEPSJ4bXAuaWlkOjdjYzI3YmNkLWVlMDItNGRjYS04ZThiLTdlMmU5ZTFjMjExNyIKICAgeG1wTU06T3JpZ2luYWxEb2N1bWVudElEPSJ4bXAuZGlkOjE0MWYyZDIxLTcwODQtNGNlZS05ZTJhLWU5NjM2ZjNhMTMxNSIKICAgR0lNUDpBUEk9IjIuMCIKICAgR0lNUDpQbGF0Zm9ybT0iTWFjIE9TIgogICBHSU1QOlRpbWVTdGFtcD0iMTU5ODUyODQxODYxNjQ3NyIKICAgR0lNUDpWZXJzaW9uPSIyLjEwLjE0IgogICBkYzpGb3JtYXQ9ImltYWdlL3BuZyIKICAgeG1wOkNyZWF0b3JUb29sPSJHSU1QIDIuMTAiPgogICA8aXB0Y0V4dDpMb2NhdGlvbkNyZWF0ZWQ+CiAgICA8cmRmOkJhZy8+CiAgIDwvaXB0Y0V4dDpMb2NhdGlvbkNyZWF0ZWQ+CiAgIDxpcHRjRXh0OkxvY2F0aW9uU2hvd24+CiAgICA8cmRmOkJhZy8+CiAgIDwvaXB0Y0V4dDpMb2NhdGlvblNob3duPgogICA8aXB0Y0V4dDpBcnR3b3JrT3JPYmplY3Q+CiAgICA8cmRmOkJhZy8+CiAgIDwvaXB0Y0V4dDpBcnR3b3JrT3JPYmplY3Q+CiAgIDxpcHRjRXh0OlJlZ2lzdHJ5SWQ+CiAgICA8cmRmOkJhZy8+CiAgIDwvaXB0Y0V4dDpSZWdpc3RyeUlkPgogICA8eG1wTU06SGlzdG9yeT4KICAgIDxyZGY6U2VxPgogICAgIDxyZGY6bGkKICAgICAgc3RFdnQ6YWN0aW9uPSJzYXZlZCIKICAgICAgc3RFdnQ6Y2hhbmdlZD0iLyIKICAgICAgc3RFdnQ6aW5zdGFuY2VJRD0ieG1wLmlpZDowNTFhZTdkMy1lYzgyLTRhNTQtOTZmYS01NGJlMzQ3YjdjNTIiCiAgICAgIHN0RXZ0OnNvZnR3YXJlQWdlbnQ9IkdpbXAgMi4xMCAoTWFjIE9TKSIKICAgICAgc3RFdnQ6d2hlbj0iMjAyMC0wOC0yN1QxMzo0MDoxOCswMjowMCIvPgogICAgPC9yZGY6U2VxPgogICA8L3htcE1NOkhpc3Rvcnk+CiAgIDxwbHVzOkltYWdlU3VwcGxpZXI+CiAgICA8cmRmOlNlcS8+CiAgIDwvcGx1czpJbWFnZVN1cHBsaWVyPgogICA8cGx1czpJbWFnZUNyZWF0b3I+CiAgICA8cmRmOlNlcS8+CiAgIDwvcGx1czpJbWFnZUNyZWF0b3I+CiAgIDxwbHVzOkNvcHlyaWdodE93bmVyPgogICAgPHJkZjpTZXEvPgogICA8L3BsdXM6Q29weXJpZ2h0T3duZXI+CiAgIDxwbHVzOkxpY2Vuc29yPgogICAgPHJkZjpTZXEvPgogICA8L3BsdXM6TGljZW5zb3I+CiAgPC9yZGY6RGVzY3JpcHRpb24+CiA8L3JkZjpSREY+CjwveDp4bXBtZXRhPgogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgI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'; diff --git a/packages/apps-config/src/ui/logos/index.ts b/packages/apps-config/src/ui/logos/index.ts deleted file mode 100644 index 67e804a226..0000000000 --- a/packages/apps-config/src/ui/logos/index.ts +++ /dev/null @@ -1,957 +0,0 @@ -// Copyright 2017-2023 @polkadot/apps-config authors & contributors -// SPDX-License-Identifier: Apache-2.0 - -/* eslint sort-keys: ["error", "asc", { caseSensitive: false }] */ - -// The mapping here is done on the actual chain name (system.chain RPC) or -// the actual RPC node it is corrected to (system.name RPC) - -// anything for a specific chain, most would probably fit into the node category (but allow for chain-specific) -// alphabetical -import { sanitize } from '../util'; -import chain3dpass from './chains/3dpass.png'; -import chainAband from './chains/aband.png'; -import chainAcala from './chains/acala.svg'; -import chainAcurast from './chains/acurast.png'; -import chainAleph from './chains/aleph.svg'; -import chainAltair from './chains/altair.svg'; -import chainAmplitude from './chains/amplitude.svg'; -import chainAstar from './chains/astar.png'; -import chainAventus from './chains/aventus.svg'; -import chainBitgreen from './chains/bitgreen.png'; -import chainBittensor from './chains/bittensor.png'; -import chainBrainstorm from './chains/brainstorm.png'; -import chainCoinversation from './chains/coinversation.png'; -import chainCompetitorsClub from './chains/competitors-club.png'; -import chainComposableFinance from './chains/composableFinance.png'; -import chainCreditcoin from './chains/creditcoin.png'; -import chainCreditcoinTest from './chains/creditcoin-test.png'; -import chainCrownSterling from './chains/crown-sterling.png'; -import chainRococoDali from './chains/dali.png'; -import chainRoccoDataHighway from './chains/datahighway.png'; -import chainDeBio from './chains/debio.svg'; -import chainDorafactory from './chains/dorafactory.png'; -import chainEfinity from './chains/efinity.svg'; -import chainEquilibrium from './chains/equilibrium.svg'; -import chainFerrum from './chains/ferrum.png'; -import chainFrequency from './chains/frequency.svg'; -import chainGeminis from './chains/geminis.png'; -import chainGenshiro from './chains/genshiro.svg'; -import chainGM from './chains/gm.png'; -import chainHashed from './chains/hashed.png'; -import chainHydrate from './chains/hydrate.png'; -import chainInterlay from './chains/interlay.svg'; -import chainEthos from './chains/jur.png'; -import chainKabocha from './chains/kabocha.svg'; -import chainKarura from './chains/karura.svg'; -import chainKico from './chains/kico.png'; -import chainKintsugi from './chains/kintsugi.png'; -import chainListen from './chains/listen.png'; -import chainLogion from './chains/logion.png'; -import chainLuhn from './chains/luhn.png'; -import chainMangata from './chains/mangatax.svg'; -import chainMoonsamaDevelopment from './chains/moonsama.png'; -import chainMyriad from './chains/myriad.svg'; -import chainOAK from './chains/oak.png'; -import chainOLI from './chains/oli.svg'; -import chainOmniBTC from './chains/omnibtc.svg'; -import chainOpal from './chains/opal-logo.png'; -import chainOriginTrail from './chains/origintrail.png'; -import chainOriginTrailTestnet from './chains/origintrail-testnet.png'; -import chainParallel from './chains/parallel.svg'; -import chainPendulum from './chains/pendulum.svg'; -import chainPicasso from './chains/picasso.svg'; -import chainQuartz from './chains/quartz.png'; -import chainRiodefi from './chains/riodefi.png'; -import chainRocfinity from './chains/rocfinity.svg'; -import chainRococo from './chains/rococo.svg'; -import chainRococoContracts from './chains/rococo-contracts.png'; -import chainRococoTick from './chains/rococo-tick.svg'; -import chainRococoTrack from './chains/rococo-track.svg'; -import chainRococoTrick from './chains/rococo-trick.svg'; -import chainShiden from './chains/shiden.png'; -import chainSkyeKiwi from './chains/skyekiwi.png'; -import chainSnakenet from './chains/snakenet.svg'; -import chainSnowbridge from './chains/snowbridge.png'; -import chainSpanner from './chains/spanner.png'; -import chainStandard from './chains/standard.png'; -import chainKusamaDataHighway from './chains/tanganika.png'; -import chainTangle from './chains/tangle.png'; -import nodeTotem from './chains/totem.svg'; -import chainUnique from './chains/unique.svg'; -import chainUnorthodox from './chains/unorthodox.png'; -import chainVara from './chains/vara.svg'; -import nodeApron from './nodes/apron.png'; -import nodeArctic from './nodes/arctic.png'; -import nodeAres from './nodes/ares.png'; -import nodeAresGladios from './nodes/ares-gladios.svg'; -import nodeAresMars from './nodes/ares-mars.png'; -import nodeAresOdyssey from './nodes/ares-odyssey.svg'; -import nodeAstar from './nodes/astar.png'; -import nodeAutomata from './nodes/automata.png'; -import nodeAventus from './nodes/aventus.svg'; -import nodeBajun from './nodes/bajun.png'; -import nodeBasilisk from './nodes/basilisk.png'; -import nodeBeast from './nodes/beast.svg'; -import nodeBifrost from './nodes/bifrost.svg'; -import nodeBitCountry from './nodes/bitcountry.png'; -import nodeCalamari from './nodes/calamari.png'; -import nodeCentrifuge from './nodes/centrifuge.png'; -import nodeCESS from './nodes/cess.png'; -import nodeChainx from './nodes/chainx.svg'; -import nodeClover from './nodes/clover.svg'; -import nodeCoinversation from './nodes/coinversation.png'; -import nodeCompetitorsClub from './nodes/competitors-club.png'; -import nodeConfti from './nodes/confti.svg'; -import nodeCrab from './nodes/crab.svg'; -import nodeCrownSterling from './nodes/crown-sterling.png'; -import nodeCrust from './nodes/crust.svg'; -import nodeCrustMaxwell from './nodes/crust-maxwell.svg'; -import nodeCrustParachain from './nodes/crustParachain.svg'; -import nodeDaliTestnet from './nodes/dali.png'; -import nodeDarwinia from './nodes/darwinia.svg'; -import nodeDataHighway from './nodes/datahighway.png'; -import nodeDockMainnet from './nodes/dock-mainnet.png'; -import nodeDockTestnet from './nodes/dock-testnet.png'; -import nodeDolphin from './nodes/dolphin.svg'; -import nodeDotMog from './nodes/dotmog.svg'; -import nodeEave from './nodes/eave.svg'; -import nodeEdgeware from './nodes/edgeware-white.png'; -import nodeEfinity from './nodes/efinity.svg'; -import nodeEncointer from './nodes/encointer-blue.svg'; -import nodeFantour from './nodes/fantour.png'; -import nodeGalital from './nodes/galital-logo.png'; -import nodeGamePower from './nodes/gamepower.svg'; -import nodeGeek from './nodes/geek.svg'; -import nodeHanonycash from './nodes/hanonycash.svg'; -import nodeHashed from './nodes/hashed.png'; -import nodeHelixstreet from './nodes/helixstreet.png'; -import nodeIdavoll from './nodes/idavoll.png'; -import nodeImbue from './nodes/imbue.png'; -import nodeIntegritee from './nodes/integritee.svg'; -import nodeInterBTC from './nodes/interlay.svg'; -import nodeIPCI from './nodes/ipci.svg'; -import nodeIpse from './nodes/ipse.png'; -import nodeJaz from './nodes/jaz.png'; -import nodeJoystream from './nodes/joystream.svg'; -import nodeJupiter from './nodes/jupiter.svg'; -import nodeKabocha from './nodes/kabocha.svg'; -import nodeKhala from './nodes/khala.svg'; -import nodeKilt from './nodes/kilt.png'; -import nodeKlug from './nodes/klug.png'; -import nodeKonomi from './nodes/konomi.png'; -import nodeKulupu from './nodes/kulupu.svg'; -import nodeKusari from './nodes/kusari.svg'; -import nodeKylin from './nodes/kylin.png'; -import nodeLaminar from './nodes/laminar-circle.svg'; -import nodeLitentry from './nodes/litentry.png'; -import nodeLitmus from './nodes/litmus.png'; -import nodeLoomNetwork from './nodes/loom_network.png'; -import nodeLuhn from './nodes/luhn.png'; -import nodeManta from './nodes/manta.png'; -import nodeMath from './nodes/math.svg'; -import nodeMd5 from './nodes/md5.png'; -import nodeMinix from './nodes/minix.png'; -import moonbase from './nodes/moonbase_alpha.png'; -import moonbeam from './nodes/moonbeam.png'; -import moonriver from './nodes/moonriver.svg'; -import nodeMoonrock from './nodes/moonrock.png'; -import moonshadow from './nodes/moonshadow.png'; -import mybank from './nodes/mybank.png'; -import nodeNFTMart from './nodes/nftmart.png'; -import nodeNodle from './nodes/nodle.svg'; -import nodeChainOLI from './nodes/oli.svg'; -import nodeOmniBTC from './nodes/omnibtc.svg'; -import nodeUniqueWestend from './nodes/opal-logo.png'; -import nodeOpportunity from './nodes/opportunity.png'; -import nodePangolin from './nodes/pangolin.svg'; -import nodePangoro from './nodes/pangoro.svg'; -import nodeParallel from './nodes/parallel.svg'; -import nodeParami from './nodes/parami.png'; -import nodePhala from './nodes/phala.svg'; -import nodePhoenix from './nodes/phoenix.png'; -import nodePichiu from './nodes/pichiu.png'; -import nodePioneerNetwork from './nodes/pioneer.png'; -import nodePolkadex from './nodes/polkadex.svg'; -import nodePolkaFoundry from './nodes/polkafoundry.svg'; -import nodePolkaSmith from './nodes/polkasmith.svg'; -import nodePolymesh from './nodes/polymesh.svg'; -import nodePontem from './nodes/pontem.svg'; -import nodePrism from './nodes/prism.png'; -import nodeQuartz from './nodes/quartz.png'; -import nodeRealis from './nodes/realis.png'; -import nodeRiochain from './nodes/riochain.svg'; -import nodeRobonomics from './nodes/robonomics.svg'; -import nodeRocfinity from './nodes/rocfinity.svg'; -import nodeSakura from './nodes/sakura.svg'; -import nodeShadow from './nodes/shadow.svg'; -import nodeSherpax from './nodes/sherpax.png'; -import nodeSingLavender from './nodes/singlavender.svg'; -import nodeSnow from './nodes/snow.png'; -import nodeSoonsocial from './nodes/soonsocial.png'; -import nodeSoonsocialX from './nodes/soonsocialX.png'; -import nodeSora from './nodes/sora-substrate.svg'; -import nodeStafi from './nodes/stafi.png'; -import nodeSubDAO from './nodes/subdao.png'; -import nodeSubGame from './nodes/subgame.svg'; -import nodeSubsocial from './nodes/subsocial.svg'; -import nodeSubsocialX from './nodes/subsocialX.svg'; -import nodeSubspace from './nodes/subspace.png'; -import nodeSubstrateContractsNode from './nodes/substrate-contracts-node.png'; -import nodeSubstrate from './nodes/substrate-hexagon.svg'; -import nodeSwapdex from './nodes/swapdex.svg'; -import nodeTernoa from './nodes/ternoa.svg'; -import nodeTheBifrost from './nodes/thebifrost.png'; -import nodeTrustBase from './nodes/trustbase.png'; -import nodeUniarts from './nodes/uniarts.png'; -import nodeUnique from './nodes/unique.svg'; -import nodeUnitNetwork from './nodes/unitnetwork.png'; -import nodeUnitv from './nodes/unitv.png'; -import nodeVln from './nodes/valiu.png'; -import nodeVara from './nodes/vara.svg'; -import nodeWeb3games from './nodes/web3games.svg'; -import nodeWestend from './nodes/westend_colour.svg'; -import nodeWestlake from './nodes/westlake.png'; -import nodeWhala from './nodes/whala.svg'; -import nodeZCloak from './nodes/zCloak.svg'; -import nodeZenlink from './nodes/zenlink.svg'; -import nodeZero from './nodes/zero.svg'; -import { externalEmptySVG } from './external'; - -const chainWestendCollectives = { fa: 'people-group' }; - -// Alphabetical overrides based on the actual matched chain name -// NOTE: This is as retrieved via system.chain RPC -export const chainLogos = Object.entries({ - Aband: chainAband, - 'Acurast Rococo Testnet': chainAcurast, - 'Aleph Zero': chainAleph, - 'Aleph Zero Testnet': chainAleph, - Altair: chainAltair, - Amplitude: chainAmplitude, - 'Apron PC1': nodeApron, - Arctic: nodeArctic, - 'Ares Gladios': nodeAresGladios, - 'Ares Odyssey': nodeAresOdyssey, - 'Ares PC1': nodeAres, - Astar: chainAstar, - Automata: nodeAutomata, - 'Automata ContextFree': nodeAutomata, - Aventus: chainAventus, - 'Bajun Testnet': nodeBajun, - 'Beast Developer': nodeBeast, - Bifrost: nodeBifrost, - 'Bifrost Asgard CC4': nodeBifrost, - 'Bifrost K Rococo': nodeBifrost, - 'Bifrost Kusama': nodeBifrost, - 'Bifrost Polkadot': nodeBifrost, - 'Bifrost Stage Testnet': nodeBifrost, - Bitgreen: chainBitgreen, - 'Bitgreen Testnet': chainBitgreen, - BitgreenRococo: chainBitgreen, - Bittensor: chainBittensor, - 'Bittensor Testnet': chainBittensor, - 'Calamari Parachain': nodeCalamari, - 'Calamari Parachain Development': nodeCalamari, - 'Calamari Parachain Local': nodeCalamari, - 'Calamari Parachain Testnet': nodeCalamari, - 'Catalyst Testnet': nodeCentrifuge, - Centrifuge: nodeCentrifuge, - 'CESS Testnet': nodeCESS, - ChainOLI: chainOLI, - ChainX: nodeChainx, - 'Charcoal Testnet': nodeCentrifuge, - Coinversation: chainCoinversation, - Collectives: chainWestendCollectives, - 'Competitors Club': chainCompetitorsClub, - 'Composable Finance': chainComposableFinance, - 'Contracts on Rococo': chainRococoContracts, - 'Crab Parachain': nodeCrab, - Creditcoin: chainCreditcoin, - 'Creditcoin Testnet': chainCreditcoinTest, - 'Crown Sterling': chainCrownSterling, - 'Crust Maxwell': nodeCrustMaxwell, - 'Crust PC1': nodeCrust, - 'Crust Testnet': nodeCrustParachain, - 'darwinia crab': nodeCrab, - 'Darwinia Crab PC2': nodeCrab, - 'Darwinia Parachain': nodeDarwinia, - 'Darwinia PC2': nodeDarwinia, - DataHighway: nodeDataHighway, - 'DataHighway Spreehafen Rococo Parachain Testnet': chainRoccoDataHighway, - 'DataHighway Tanganika Kusama Parachain': chainKusamaDataHighway, - DeBio: chainDeBio, - 'DeBio Testnet': chainDeBio, - 'Dolphin Testnet': nodeDolphin, - 'Dora Factory': chainDorafactory, - Efinity: chainEfinity, - Equilibrium: chainEquilibrium, - 'Equilibrium parachain': chainEquilibrium, - EquilibriumTestnet: chainEquilibrium, - 'Ethos Testnet': chainEthos, - 'Ferrum Testnet': chainFerrum, - Frequency: chainFrequency, - 'Frequency Rococo': chainFrequency, - Galital: nodeGalital, - 'GamePower Network': nodeGamePower, - GEEK: nodeGeek, - Geminis: chainGeminis, - Genshiro: chainGenshiro, - 'Genshiro Rococo Testnet': chainGenshiro, - 'GM Parachain': chainGM, - 'Hashed Network': chainHashed, - helixstreet: nodeHelixstreet, - HydraDX: chainSnakenet, - 'HydraDX testnet': chainHydrate, - Idavoll: nodeIdavoll, - 'Imbue Testnet': nodeImbue, - InterBTC: nodeInterBTC, - 'InterBTC Staging': nodeInterBTC, - Interlay: chainInterlay, - 'InvArch Brainstorm Testnet': chainBrainstorm, - ipci: nodeIPCI, - IpseTestnet: nodeIpse, - 'Jupiter A1': nodeJupiter, - 'Jupiter PC1': nodeJupiter, - Kabocha: chainKabocha, - 'Kabocha (kabsoup)': chainKabocha, - Kapex: nodeTotem, - Karura: chainKarura, - Kerria: chainParallel, - 'Kerria Dev': chainParallel, - Khala: nodeKhala, - KICO: chainKico, - KICO2: chainKico, - KILT: nodeKilt, - 'KILT Local': nodeKilt, - 'KILT Peregrine': nodeKilt, - 'KILT Testnet': nodeKilt, - Kintsugi: chainKintsugi, - KlugDossier: nodeKlug, - Konomi: nodeKonomi, - Kpron: nodeApron, - kusari: nodeKusari, - 'Kylin Testnet': nodeKylin, - 'Listen Network': chainListen, - Litentry: nodeLitentry, - 'Litentry-rococo': nodeLitentry, - Litmus: nodeLitmus, - 'Loom Network Local': nodeLoomNetwork, - LoomNetwork: nodeLoomNetwork, - 'Luhn Network': chainLuhn, - 'Mangata Kusama Mainnet': chainMangata, - 'Mangata Public Testnet': chainMangata, - 'Manta Parachain': nodeManta, - 'Manta Parachain Development': nodeManta, - 'Manta Parachain Local': nodeManta, - 'Manta Parachain Testnet': nodeManta, - Mars: nodeAresMars, - MathChain: nodeMath, - 'MathChain PC1': nodeMath, - 'mathchain-galois': nodeMath, - MD5: nodeMd5, - Minix: nodeMinix, - 'Minix Testnet': nodeMinix, - 'Moonbase Alpha': moonbase, - 'Moonbase Development Testnet': moonbase, - 'Moonbase Stage': moonbase, - Moonbeam: moonbeam, - Moonriver: moonriver, - Moonrock: nodeMoonrock, - 'Moonsama Development': chainMoonsamaDevelopment, - Moonshadow: moonshadow, - 'mybank.network PC1': mybank, - Myriad: chainMyriad, - 'Myriad Testnet': chainMyriad, - 'Nakamoto Bittensor Mainnet': chainBittensor, - NFTMart: nodeNFTMart, - 'NFTMart Staging': nodeNFTMart, - 'NFTMart Testnet': nodeNFTMart, - Odyssey: nodeAresOdyssey, - 'OLI Parachain': chainOLI, - OmniBTC: chainOmniBTC, - 'OPAL by UNIQUE': chainOpal, - 'OriginTrail Parachain': chainOriginTrail, - 'OriginTrail Parachain Testnet': chainOriginTrailTestnet, - Pangolin: nodePangolin, - Pangoro: nodePangoro, - Parallel: chainParallel, - 'Parallel Dev': chainParallel, - 'Parallel Heiko': chainParallel, - 'Parallel Heiko Dev': chainParallel, - 'Parami PC2': nodeParami, - Pendulum: chainPendulum, - Phala: nodePhala, - 'PHOENIX PC1': nodePhoenix, - Picasso: chainPicasso, - 'Pichiu Mainnet': nodePichiu, - 'Pichiu Testnet': nodePichiu, - 'Pioneer Network': nodePioneerNetwork, - 'Polkadex Mainnet': nodePolkadex, - 'Polkadex Testnet': nodePolkadex, - 'PolkaFoundry PC1': nodePolkaFoundry, - 'Pontem Testnet': nodePontem, - 'Prism PC1': nodePrism, - 'Prism Testnet': nodePrism, - 'QUARTZ by UNIQUE': chainQuartz, - 'ReAlis Network': nodeRealis, - 'RioChain CC-1': nodeRiochain, - 'RioChain Staging': nodeRiochain, - Riodefi: chainRiodefi, - Robonomics: nodeRobonomics, - Rocfinity: chainRocfinity, - Rococo: chainRococo, - Sherpax: nodeSherpax, - 'Sherpax Testnet': nodeSherpax, - Shiden: chainShiden, - SingLavender: nodeSingLavender, - SkyeKiwi: chainSkyeKiwi, - 'Snow Kusama': nodeSnow, - soonsocial: nodeSoonsocial, - soonsocialX: nodeSoonsocialX, - SORA: nodeSora, - 'SORA Kusama': nodeSora, - 'SORA Rococo': nodeSora, - Spanner: chainSpanner, - Stagex: nodeTotem, - 'Steam PC': nodeEave, - subdao: nodeSubDAO, - 'SubDAO PC1': nodeSubDAO, - 'SubDAO Staging': nodeSubDAO, - subgame: nodeSubGame, - 'SubGame Gamma': nodeSubGame, - 'SubGame Staging': nodeSubGame, - subsocial: nodeSubsocial, - subsocialX: nodeSubsocialX, - subspace: nodeSubspace, - Subzero: nodeZero, - swapdex: nodeSwapdex, - 'Tangle Rococo': chainTangle, - 'Tangle Testnet': chainTangle, - Tick: chainRococoTick, - Track: chainRococoTrack, - Trick: chainRococoTrick, - trustbase: nodeTrustBase, - 'TrustBase PC1': nodeTrustBase, - 'uni arts staging network': nodeUniarts, - 'UniArts Mainnet': nodeUniarts, - Unique: chainUnique, - UNIQUE: chainUnique, - 'Unit Network': nodeUnitNetwork, - 'Unitv Network': nodeUnitv, - Unorthodox: chainUnorthodox, - 'Vara Network': chainVara, - Vln: nodeVln, - 'VLN PC': nodeVln, - Wapex: nodeTotem, - 'Web3Games Plum': nodeWeb3games, - Westend: nodeWestend, - 'Westend Collectives': chainWestendCollectives, - Westlake: nodeWestlake, - WILT: nodeKilt, - 'zcloak poc1': nodeZCloak -}).reduce>((logos, [chain, external]) => ({ - ...logos, - [sanitize(chain)]: external -}), {}); - -// Alphabetical overrides based on the actual software node type -// NOTE: This is as retrieved via system.name RPC -export const nodeLogos = Object.entries({ - Aband: chainAband, - 'Acala Node': chainAcala, - 'Acurast Parachain Collator': chainAcurast, - Amplitude: chainAmplitude, - 'Apron Node': nodeApron, - 'Apron Parachain Collator': nodeApron, - Arctic: nodeArctic, - 'Ares Gladios': nodeAresGladios, - 'Ares Node': nodeAres, - 'Ares Odyssey': nodeAresOdyssey, - 'Ares Parachain Collator': nodeAres, - Astar: nodeAstar, - 'Automata ContextFree Node': nodeAutomata, - 'Automata Node': nodeAutomata, - Aventus: nodeAventus, - 'Bajun Node': nodeBajun, - Basilisk: nodeBasilisk, - 'Beast Node': nodeBeast, - Bifrost: nodeBifrost, - 'Bifrost Node': nodeBifrost, - 'Bifrost Stage Testnet': nodeBifrost, - 'Bit Country Tewai Parachain Collator': nodeBitCountry, - 'Bit.Country': nodeBitCountry, - 'BitCountry Node': nodeBitCountry, - 'Calamari Parachain Collator': nodeCalamari, - Centrifuge: nodeCentrifuge, - 'centrifuge chain': nodeCentrifuge, - 'Centrifuge Chain Node': nodeCentrifuge, - 'CESS Testnet': nodeCESS, - ChainOLI: nodeChainOLI, - 'ChainX Node': nodeChainx, - 'Clover Node': nodeClover, - Coinversation: nodeCoinversation, - 'Competitors Club': nodeCompetitorsClub, - 'Composable Finance': chainComposableFinance, - 'Crown Sterling': nodeCrownSterling, - crust: nodeCrust, - 'Crust Collator': nodeCrust, - 'Crust Maxwell': nodeCrustMaxwell, - 'Crust Testnet': nodeCrustParachain, - 'DAO IPCI': nodeIPCI, - darwinia: nodeDarwinia, - 'darwinia crab': nodeCrab, - 'darwinia parachain': nodeDarwinia, - 'Darwinia Runtime Module Library': nodeDarwinia, - DataHighway: nodeDataHighway, - 'DataHighway Node': nodeDataHighway, - 'DataHighway Parachain Collator': nodeDataHighway, - 'DataHighway Spreehafen Rococo Parachain Testnet': chainRoccoDataHighway, - 'DataHighway Tanganika Kusama Parachain': chainKusamaDataHighway, - DeBio: chainDeBio, - 'Dock Full Node': nodeDockMainnet, - 'Dock Node': nodeDockMainnet, - 'Dora Factory': chainDorafactory, - 'DOTMog Node': nodeDotMog, - 'Eave Node': nodeEave, - 'Edgeware Node': nodeEdgeware, - Efinity: nodeEfinity, - 'Efinity Node': nodeEfinity, - 'Encointer collator': nodeEncointer, - 'Encointer Node noTEE': nodeEncointer, - 'Fantour Node': nodeFantour, - 'Galital Parachain Collator': nodeGalital, - 'GamePower Node': nodeGamePower, - GEEK: nodeGeek, - Geminis: chainGeminis, - 'GM Collator': chainGM, - 'Halongbay Parachain Collator': nodePolkaFoundry, - hanonycash: nodeHanonycash, - 'Hashed Collator': nodeHashed, - Helixstreet: nodeHelixstreet, - 'Idavoll Node': nodeIdavoll, - 'Imbue Node': nodeImbue, - 'Integritee Collator': nodeIntegritee, - 'Integritee Node': nodeIntegritee, - Interlay: chainInterlay, - 'InvArch Brainstorm Node': chainBrainstorm, - IpseTestnet: nodeIpse, - 'Jaz Node': nodeJaz, - 'Joystream Node': nodeJoystream, - 'Jur Collator': chainEthos, - Kabocha: nodeKabocha, - 'Kabocha (kabsoup)': nodeKabocha, - Kerria: nodeParallel, - 'Kerria Dev': nodeParallel, - Khala: nodeKhala, - 'Khala Node': nodeKhala, - KICO: chainKico, - KICO2: chainKico, - KILT: nodeKilt, - 'KILT Local': nodeKilt, - 'KILT Peregrine': nodeKilt, - Kintsugi: chainKintsugi, - 'Klug Dossier Node': nodeKlug, - 'Kpron Collator': nodeApron, - kulupu: nodeKulupu, - kusari: nodeKusari, - 'Kylin Node': nodeKylin, - 'Laminar Node': nodeLaminar, - 'Listen Network': chainListen, - 'Litentry node': nodeLitentry, - 'logion Collator': chainLogion, - 'Logion Node': chainLogion, - 'Luhn Collator': nodeLuhn, - 'mandala node': chainAcala, - 'Manta Node': nodeManta, - 'Manta Parachain Collator': nodeManta, - MathChain: nodeMath, - 'mathChain-galois': nodeMath, - 'MD5 Network': nodeMd5, - minix: nodeMinix, - Moonrock: nodeMoonrock, - 'Moonsama Development': chainMoonsamaDevelopment, - 'mybank.network': mybank, - Myriad: chainMyriad, - NFTMart: nodeNFTMart, - 'NFTMart Staging': nodeNFTMart, - 'NFTMart Testnet': nodeNFTMart, - 'node-template': nodeSubstrate, - 'Nodle Chain Node': nodeNodle, - OmniBTC: nodeOmniBTC, - 'Opal Node': nodeUniqueWestend, - 'Opportunity Standalone Testnet': nodeOpportunity, - Pangolin: nodePangolin, - Pangoro: nodePangoro, - Parallel: nodeParallel, - 'Parallel Dev': nodeParallel, - 'Parallel Heiko': nodeParallel, - 'Parallel Heiko Dev': nodeParallel, - Parami: nodeParami, - 'Patract Node': nodeJupiter, - Pendulum: chainPendulum, - Phala: nodePhala, - phala: nodePhala, - 'Phala Collator': nodePhala, - 'phala-substrate-node': nodePhala, - 'PHOENIX Collator': nodePhoenix, - 'PHOENIX Node': nodePhoenix, - 'Pichiu Node': nodePichiu, - 'Pioneer Network Collator Node': nodePioneerNetwork, - 'Polkadex Node': nodePolkadex, - 'PolkaFoundry Node': nodePolkaFoundry, - 'PolkaFoundry Parachain Collator': nodePolkaFoundry, - 'PolkaSmith Parachain Collator': nodePolkaSmith, - 'Pontem Testnet': nodePontem, - 'Prism Collator': nodePrism, - 'Prism Node': nodePrism, - 'Quartz Node': nodeQuartz, - 'ReAlis Network': nodeRealis, - 'Rio Defi Chain Node': nodeRiochain, - 'RioChain Staging': nodeRiochain, - Riodefi: chainRiodefi, - robonomics: nodeRobonomics, - Rocfinity: nodeRocfinity, - Sakura: nodeSakura, - Shadow: nodeShadow, - sherpax: nodeSherpax, - 'Shiden Collator': chainShiden, - 'SingLavender Parachain Collator': nodeSingLavender, - Snow: nodeSnow, - Sora: nodeSora, - Stafi: nodeStafi, - 'Stafi Node': nodeStafi, - subdao: nodeSubDAO, - 'SubDAO Collator': nodeSubDAO, - 'SubDAO Staging': nodeSubDAO, - subgame: nodeSubGame, - 'SubGame Gamma': nodeSubGame, - 'SubGame Staging': nodeSubGame, - subspace: nodeSubspace, - 'substrate-contracts-node': nodeSubstrateContractsNode, - 'substrate-node': nodeSubstrate, - 'subzero node': nodeZero, - swapdex: nodeSwapdex, - 'Ternoa Node': nodeTernoa, - 'Totem Parachain Collator': nodeTotem, - 'TrustBase Collator': nodeTrustBase, - 'TrustBase Node': nodeTrustBase, - 'uni arts node': nodeUniarts, - 'UniArts Node': nodeUniarts, - 'Unique Node': nodeUnique, - 'Unit Collator': nodeUnitv, - 'Unit Network Collator': nodeUnitNetwork, - 'Unit Network Node': nodeUnitNetwork, - 'Unit Node': nodeUnitv, - Vanilla: nodeParallel, - 'Vanilla Dev': nodeParallel, - Vln: nodeVln, - 'VLN PC': nodeVln, - 'Web3Games Node': nodeWeb3games, - Westend: nodeWestend, - Westlake: nodeWestlake, - Whala: nodeWhala, - 'Whala Node': nodeWhala, - WILT: nodeKilt, - 'zcloak node': nodeZCloak, - Zenlink: nodeZenlink, - 'Zenlink Collator': nodeZenlink -}).reduce>((logos, [node, external]) => ({ - ...logos, - [sanitize(node)]: external -}), {}); - -// Alphabetical overrides when we pass an explicit external name -// NOTE: Matches with what is defined as "info" in settings/endpoints.ts -// (Generally would be the 'network' key in the known ss58 as per -// https://github.com/polkadot-js/common/blob/master/packages/networks/src/index.ts) -export const namedLogos: Record = { - '3dpass': chain3dpass, - '3dpass-testnet': chain3dpass, - aband: chainAband, - acala: chainAcala, - aleph: chainAleph, - altair: chainAltair, - amplitude: chainAmplitude, - arctic: nodeArctic, - 'Ares Gladios': nodeAresGladios, - 'Ares Odyssey': nodeAresOdyssey, - astar: chainAstar, - automata: nodeAutomata, - 'automata-contextfree': nodeAutomata, - aventus: chainAventus, - bajun: nodeBajun, - basilisk: nodeBasilisk, - beast: nodeBeast, - bifrost: nodeBifrost, - 'Bifrost Stage Testnet': nodeBifrost, - bitcountry: nodeBitCountry, - bitcountryPioneer: nodePioneerNetwork, - bitgreen: chainBitgreen, - bittensor: chainBittensor, - brainstorm: chainBrainstorm, - calamari: nodeCalamari, - centrifuge: nodeCentrifuge, - cess: nodeCESS, - 'cess-testnet': nodeCESS, - chainoli: nodeChainOLI, - chainx: nodeChainx, - charcoal: nodeCentrifuge, - clover: nodeClover, - coinversation: chainCoinversation, - 'competitors-club': chainCompetitorsClub, - composableFinance: chainComposableFinance, - crab: nodeCrab, - creditcoin: chainCreditcoin, - 'creditcoin-testnet': chainCreditcoinTest, - 'crown-sterling': chainCrownSterling, - crust: nodeCrust, - 'Crust Maxwell': nodeCrustMaxwell, - 'Crust Testnet': nodeCrustParachain, - crustParachain: nodeCrustParachain, - 'Dali Testnet (Rococo Relay)': chainRococoDali, - DaliTestnet: nodeDaliTestnet, - darwinia: nodeDarwinia, - datahighway: nodeDataHighway, - debio: chainDeBio, - 'debio-testnet': chainDeBio, - 'dock-pos-mainnet': nodeDockMainnet, - 'dock-pos-testnet': nodeDockTestnet, - dolphin: nodeDolphin, - dorafactory: chainDorafactory, - dotmog: nodeDotMog, - eave: nodeEave, - edgeware: nodeEdgeware, - efinity: nodeEfinity, - empty: externalEmptySVG, - encointer: nodeEncointer, - equilibrium: chainEquilibrium, - fantour: nodeFantour, - ferrum: chainFerrum, - frequency: chainFrequency, - galital: nodeGalital, - galois: nodeMath, - gamepower: nodeGamePower, - geek: nodeGeek, - geminis: chainGeminis, - genshiro: chainGenshiro, - gm: chainGM, - halongbay: nodePolkaFoundry, - hanonycash: nodeHanonycash, - hashed: nodeHashed, - heiko: chainParallel, - helixstreet: nodeHelixstreet, - hydra: chainSnakenet, - idavoll: nodeIdavoll, - imbue: nodeImbue, - integritee: nodeIntegritee, - interlay: chainInterlay, - 'interlay-testnet': chainInterlay, - ipci: nodeIPCI, - ipse: nodeIpse, - jaz: nodeJaz, - joystream: nodeJoystream, - jupiter: nodeJupiter, - kabocha: nodeKabocha, - 'Kabocha (kabsoup)': nodeKabocha, - kapex: nodeTotem, - karura: chainKarura, - kerria: nodeParallel, - khala: nodeKhala, - kico: chainKico, - kico2: chainKico, - kilt: nodeKilt, - kintsugi: chainKintsugi, - 'kintsugi-testnet': chainKintsugi, - klugdossier: nodeKlug, - kpron: nodeApron, - kulupu: nodeKulupu, - kusari: nodeKusari, - kylin: nodeKylin, - laminar: nodeLaminar, - listen: chainListen, - litentry: nodeLitentry, - litmus: nodeLitmus, - logion: chainLogion, - loomNetwork: nodeLoomNetwork, - luhn: nodeLuhn, - mangata: chainMangata, - manta: nodeManta, - mars: nodeAresMars, - mathchain: nodeMath, - minix: nodeMinix, - moonbaseAlpha: moonbase, - moonbeam, - moonriver, - moonrock: nodeMoonrock, - moonshadow, - mybank, - myriad: chainMyriad, - 'myriad-testnet': chainMyriad, - nftmart: nodeNFTMart, - nodle: nodeNodle, - oak: chainOAK, - odyssey: nodeAresOdyssey, - omnibtc: nodeOmniBTC, - opal: nodeUniqueWestend, - opportunity: nodeOpportunity, - 'origintrail-parachain': chainOriginTrail, - pangolin: nodePangolin, - pangoro: nodePangoro, - parallel: chainParallel, - pendulum: chainPendulum, - phala: nodePhala, - phoenix: nodePhoenix, - picasso: chainPicasso, - pichiu: nodePichiu, - polkadex: nodePolkadex, - polkadotCollectives: chainWestendCollectives, - polkafoundry: nodePolkaFoundry, - polkasmith: nodePolkaSmith, - polymesh: nodePolymesh, - pontem: nodePontem, - prism: nodePrism, - quartz: nodeQuartz, - realis: nodeRealis, - riochain: nodeRiochain, - riodefi: chainRiodefi, - robonomics: nodeRobonomics, - rocfinity: nodeRocfinity, - rocky: nodeCrust, - rococo: chainRococo, - rococoAcala: chainAcala, - rococoAcurast: chainAcurast, - rococoAmplitude: chainAmplitude, - rococoApron: nodeApron, - rococoAres: nodeAres, - rococoAventus: nodeAventus, - rococoBajun: nodeBajun, - rococoBasilisk: nodeBasilisk, - rococoBifrost: nodeBifrost, - rococoBitCountry: nodeBitCountry, - rococoBitgreen: chainBitgreen, - rococoCatalyst: nodeCentrifuge, - rococoChainX: nodeChainx, - rococoClover: nodeClover, - rococoConfti: nodeConfti, - rococoContracts: chainRococoContracts, - rococoCrab: nodeCrab, - rococoCrust: nodeCrust, - rococoDali: chainRococoDali, - rococoDarwinia: nodeDarwinia, - rococoDolphin: nodeDolphin, - rococoEave: nodeEave, - rococoEncointer: nodeEncointer, - rococoEthos: chainEthos, - rococoFrequency: chainFrequency, - rococoGalital: nodeGalital, - rococoGenshiro: chainGenshiro, - rococoHelixstreet: nodeHelixstreet, - rococoHydraDX: chainHydrate, - rococoIdavoll: nodeIdavoll, - rococoImbue: nodeImbue, - rococoIntegritee: nodeIntegritee, - rococoInterBTC: chainInterlay, - rococoJupiter: nodeJupiter, - rococoKabocha: nodeKabocha, - rococoKilt: nodeKilt, - rococoKonomi: nodeKonomi, - rococoKylin: nodeKylin, - rococoLaminar: nodeLaminar, - rococoLitentry: nodeLitentry, - rococoLoomNetwork: nodeLoomNetwork, - rococoMangata: chainMangata, - rococoManta: nodeManta, - rococoMathChain: nodeMath, - rococoMd5: nodeMd5, - rococoMoonrock: nodeMoonrock, - rococoMoonsama: chainMoonsamaDevelopment, - rococoNodle: nodeNodle, - rococoOriginTrailParachain: chainOriginTrailTestnet, - rococoPangolin: nodePangolin, - rococoParami: nodeParami, - rococoPhala: nodePhala, - rococoPhoenix: nodePhoenix, - rococoPolkaFoundry: nodePolkaFoundry, - rococoPrism: nodePrism, - rococoSingLavender: nodeSingLavender, - rococoSora: nodeSora, - rococoSpreehafen: chainRoccoDataHighway, - rococoStandard: chainStandard, - rococoSubDAO: nodeSubDAO, - rococoSubsocial: nodeSoonsocialX, - rococoSubzero: nodeZero, - rococoTick: chainRococoTick, - rococoTrack: chainRococoTrack, - rococoTrick: chainRococoTrick, - rococoTrustBase: nodeTrustBase, - rococoUnitNetwork: nodeUnitNetwork, - rococoUnitv: nodeUnitv, - rococoVln: nodeVln, - rococoZenlink: nodeZenlink, - sakura: nodeSakura, - shadow: nodeShadow, - sherpax: nodeSherpax, - shibuya: chainShiden, - shiden: chainShiden, - singLavender: nodeSingLavender, - skyekiwi: chainSkyeKiwi, - snakenet: chainSnakenet, - snow: nodeSnow, - snowbridge: chainSnowbridge, - soonsocial: nodeSoonsocial, - sora: nodeSora, - 'sora-substrate': nodeSora, - sora_ksm: nodeSora, - spanner: chainSpanner, - stafi: nodeStafi, - stagex: nodeTotem, - subdao: nodeSubDAO, - 'SubDAO PC1': nodeSubDAO, - 'SubDAO Staging': nodeSubDAO, - subgame: nodeSubGame, - 'SubGame Gamma': nodeSubGame, - 'SubGame Staging': nodeSubGame, - subsocial: nodeSubsocial, - subsocialX: nodeSubsocialX, - subspace: nodeSubspace, - 'subspace-farmnet': nodeSubspace, - 'subspace-gemini-1': nodeSubspace, - 'subspace-gemini-2a': nodeSubspace, - substrate: nodeSubstrate, - substrateContractsNode: nodeSubstrateContractsNode, - swapdex: nodeSwapdex, - tanganika: chainKusamaDataHighway, - tangle: chainTangle, - ternoa: nodeTernoa, - 'ternoa-alphanet': nodeTernoa, - 'ternoa-testnet': nodeTernoa, - 'thebifrost-mainnet': nodeTheBifrost, - 'thebifrost-testnet': nodeTheBifrost, - 'totem-parachain': nodeTotem, - trustbase: nodeTrustBase, - uniarts: nodeUniarts, - unique: nodeUnique, - unitnetwork: nodeUnitNetwork, - unitv: nodeUnitv, - unorthodox: chainUnorthodox, - vanilla: nodeParallel, - vara: nodeVara, - vln: nodeVln, - web3games: nodeWeb3games, - westend: nodeWestend, - westendCollectives: chainWestendCollectives, - westendPichiu: nodePichiu, - westendStandard: chainStandard, - westlake: nodeWestlake, - whala: nodeWhala, - zCloak: nodeZCloak, - zero: nodeZero -}; - -// preload all -[chainLogos, namedLogos, nodeLogos].forEach((imageSet): void => { - Object.values(imageSet).forEach((src): void => { - new Image().src = src as string; - }); -}); diff --git a/packages/apps/src/Endpoints/Network.tsx b/packages/apps/src/Endpoints/Network.tsx index ef04792590..f66b29513b 100644 --- a/packages/apps/src/Endpoints/Network.tsx +++ b/packages/apps/src/Endpoints/Network.tsx @@ -19,7 +19,7 @@ interface Props { value: Network; } -function NetworkDisplay ({ apiUrl, className = '', setApiUrl, value: { icon, isChild, isRelay, isUnreachable, name, nameRelay: relay, paraId, providers, uiLogo } }: Props): React.ReactElement { +function NetworkDisplay ({ apiUrl, className = '', setApiUrl, value: { isChild, isRelay, isUnreachable, name, nameRelay: relay, paraId, providers, uiLogo } }: Props): React.ReactElement { const { t } = useTranslation(); const isSelected = useMemo( () => providers.some(({ url }) => url === apiUrl), @@ -49,7 +49,7 @@ function NetworkDisplay ({ apiUrl, className = '', setApiUrl, value: { icon, isC
diff --git a/packages/apps/src/Endpoints/index.tsx b/packages/apps/src/Endpoints/index.tsx index 3c19946906..41618d09d2 100644 --- a/packages/apps/src/Endpoints/index.tsx +++ b/packages/apps/src/Endpoints/index.tsx @@ -54,7 +54,6 @@ function combineEndpoints (endpoints: LinkOption[]): Group[] { prev.networks[prev.networks.length - 1].providers.push(prov); } else if (!e.isUnreachable) { prev.networks.push({ - icon: e.info, isChild: e.isChild, isRelay: !!e.genesisHash, name: e.text as string, diff --git a/packages/apps/src/Endpoints/types.ts b/packages/apps/src/Endpoints/types.ts index 15adaa426f..a1d46827f3 100644 --- a/packages/apps/src/Endpoints/types.ts +++ b/packages/apps/src/Endpoints/types.ts @@ -4,7 +4,6 @@ import React from 'react'; export interface Network { - icon?: string; isChild?: boolean; isLightClient?: boolean; isRelay?: boolean; diff --git a/packages/react-components/src/ChainImg.tsx b/packages/react-components/src/ChainImg.tsx index 1e2e515b04..e53c2cdff6 100644 --- a/packages/react-components/src/ChainImg.tsx +++ b/packages/react-components/src/ChainImg.tsx @@ -6,7 +6,6 @@ import type { IconName } from '@fortawesome/fontawesome-svg-core'; import React, { useMemo } from 'react'; import styled from 'styled-components'; -import { chainLogos, namedLogos, nodeLogos } from '@polkadot/apps-config'; import { externalEmptySVG } from '@polkadot/apps-config/ui/logos/external'; import { useApi } from '@polkadot/react-hooks'; @@ -15,31 +14,24 @@ import Icon from './Icon'; interface Props { className?: string; isInline?: boolean; - logo?: keyof typeof namedLogos; + logo?: string; onClick?: () => any; withoutHl?: boolean; } -function sanitize (value?: string): string { - return value?.toLowerCase().replace('-', ' ') || ''; -} - function ChainImg ({ className = '', isInline, logo, onClick, withoutHl }: Props): React.ReactElement { - const { apiEndpoint, systemChain, systemName } = useApi(); + const { apiEndpoint } = useApi(); const [isEmpty, img, isFa] = useMemo((): [boolean, unknown, boolean] => { - const found = logo && logo !== 'empty' - ? logo.startsWith('data:image/') || logo.startsWith('fa;') - ? logo - : namedLogos[logo] - : apiEndpoint?.uiLogo || chainLogos[sanitize(systemChain)] || nodeLogos[sanitize(systemName)]; + const found = logo || apiEndpoint?.uiLogo; const imgBase = found || externalEmptySVG; - const isFa = (imgBase as string).startsWith('fa;'); - const img = isFa - ? (imgBase as string).substring(3) - : imgBase; + const [isFa, img] = !imgBase || imgBase === 'empty' || !(imgBase.startsWith('data:') || imgBase.startsWith('fa;')) + ? [false, externalEmptySVG] + : imgBase.startsWith('fa;') + ? [true, imgBase.substring(3)] + : [false, imgBase]; return [!found || logo === 'empty', img, isFa]; - }, [apiEndpoint, logo, systemChain, systemName]); + }, [apiEndpoint, logo]); const iconClassName = `${className} ui--ChainImg ${(isEmpty && !withoutHl) ? 'highlight--bg' : ''} ${isInline ? 'isInline' : ''}`;