template.js是一款开源的JavaScript模板引擎,用来渲染页面的。
github地址 https://github.com/yanhaijing/template.js
下载template.js导入项目中
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" 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准备测试的json数据
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展示页面
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" alt="" />
模板文件:用 {{}}做占位符
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" alt="" />
渲染模板脚本:template(模板名称,数据)
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页面效果:
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" alt="" />
上面是已经最简单的例子。仅仅是显示,但经常会有添加判断,比如:
先修改json数据:
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" alt="" />
模板文件的if判断,可以看到,需要保存的值可以放在自定义属性中:txt_age="{{age}}"
{{name=="张三"?1:0}}为三元运算符
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ddgsXsG5VPkvMx5tI25SCc0lEZ10c0LrVjfnycpFROza2Ffexq78JBkK1t/8D/rPZC28yDJaI4rXT7oOocldzxoruYZuhTKDx/nK5qTcK6fJJsOfKemeO7VNtUO2oupX3Lqr8srU6YUxMuJqmYLaaWoFUXk1Tb5NT1ajnzRMtvG57SkZ3EyIx7SttFRqVtvBEjWkLm1PCNm/UpFJ6R2mSsyyfJluMPXgtaNe6l2ianrle/hh3l00sdkpyjr7K28eqSU9vS6Py4DupcrLblcnim2mYaboyuVbm18G3Y4z87DodW2m0qNdJsYaoZhEvVMXtzVOnqmfr0x9b5G0trm+TSZA01sUx2kXvemSlkz+OTNBOVoImBNKVGbsYU1lBjbbjo5ETbeGemInvy9u+JoW7m1Hw3Xs5ua+BLOVuflIEtOfNqkFyarKEmlukPXicdKO/MNLlDP798o55YxkdwFPdJCmqnEiFl5Ehahx/PxQG5FKXWqsfbQmC3leCAtW0VrDVjG5XttvT8okbbOkuf/FuLPDj+ivY3CtdfOW3zby1uxfqqdlsT76iYhbSYWi7/SVHNbqunVkXu1zzetu2RDLM++YPXpDP1V9/6qoqV0zZ/8FpQ8Wp2mxI5iuTH82Rcite2gnabUHJeuy05mZBTOTxSuFy24nJm6Fa1DeNtu659hBwnSftc6AftFxlvCxlPSH9a2Ghbr4LxXSpa/q3FRnaM79htU5bDB3FnZ0NeA4I++bcWEcfbmHL+2Px423L4IG8eXWe4ZjltY/VpMbVccbyN8THObX68bTnzBCuNG58rXasc0PtqcZIN9SnjXlqmP3jN+qDGPdaU/DXsiA4oQ14Dgj5JETS861V0fP0adgRB5cbn1qtAWJpEgPMNFte2zy/fkCdvGI9iAW1Lp37rZpvFQiXUKrLb4oFDzim6VW371j+KOMkDm9/GjMBxu7hZw8swANIei0n6MMhLp+sS0f7LRRqUSNKtLJfDhzRScc06AzmTS5k3k7TwsMCw8FTw2EjIB2csbrzJXLRgfGYeSqnIcuYxHsUJDT2NqeCxkZCec8H4JMM7ohkOyQa0rehEPdVcosa+l9OgREZTfw07p8o4Sb5rU+bNJC08LDAsPL01duCnMx0zPknxoiqH5PsTg2Ek+gMLatuP5+FY3RmNJSqftnGrh0QiJ+dKRCuqVXgVyUG6G23Tu6YPj6NYlwTwaDaVbootRG0sRG3LWSttOJI5FdSOL2qbgdDpx/f1wrw0ef3GvONtqtUgtbniOsT6JClZHPqhCkvRKtMZJSc/lNqWdSPSXIhj5qjXkzxSZCdk41csHVGSs3zJCZmrPmXW3AKNIDshdZhiNHQUsNt0y4voCFUtM0skfvT9GU0qr64VI9K6tZJBLqBtRwIbD9l08Mh2YOMh8wSPgH2DjYc87LAFsIdg/7b9598elWH40djYP//f3dcQHBv/Zhs8Y//jn//37msIjh1oGwAAgLZBVsH65dVf/u7fewkvr/6SqW0AAADA3gJtA4fB4u2Z++Ird/Dnp3fCEQAACNYraBvYQxZvz7jZaS++rmRtm390ifvh7feFMouGd2+/7/zuAABbANoG9ppE0lhtC5Xsw3z31QMA7CfQttKMe4QQ0tXMytKnhgsuZCy8nXK4a5VmMrfDVUUW8SokilB+Sdu+fiCuSz5+afrqy2GHEEI0senmVADAroG2lWRkE2Lp98QypBq1bTbtHuiOEiUI182a0HU0WS2Zf/3z0zuNT3Lx9sx99mnR6NVTxj1CiHZJT3MqAGCXQNvK4Q8sg7aZU02MvGOax0ppvMbxYmoxm2vPP8qWmSKWpKGrpzT1lgEATQNtK0epXo9dPVZaYUi9Z2CehYhSl1q6VIe4QQxrBiWdeJjRmk3t+Hi8QjGbnV2VmHPc8csZs0xoVmpYAqVJgXPb9ZxFdHz+kTXOzHEi5cNDdFev+JYBAHsAtK0cVXo9ab8PhrJ222JqeR63P6d27eBLx+P2+SRRtz63Y+lazrxEw/jdZLikxlCaaOx4myqK5Lv/LCtOsrAzE9oGwKECbSvHuEcM/Zo5tSFt44ytuW1YF5/d5zP9/dLxYtvlYhIJmGqfz+XMU7jv6kQw1ELLTBkw2TDQNgAOFWhbcaIYOU2EpDk1WDembZwI8dq2mFq8BZNX23hnppC9uk8ym+/+s8hKSyXt56d35Mz/uZV3TfvE8DbNqQCA3QFtK8ce+iR12iaadFXttq2i0rbw95qiJRt7ywCAXQJtK8dhaRubtJha+e021dZolKrC5Rvi64fYREu07cuLM//nd/+Z27xnEtoGwKECbStHiV7PH7xWbQgSi5wwZTtCP8U7JfX+MRHtJJ6YHIjuwQkNPY10zmeM4iHti9gVGasjpRp/ZvMw7sfF2zP3xccPaWDk1w+kaXmDtgFwqEDbyoFer0nmH+UQ/y8vXGmdra+h1OVcTLL4nAF/YBlmZ5tTAQC7BNpWlqoRJaAQ3/1n24ofCcGaWwAcMtA2AAAAbQPaBgAAoG1A2wAAALQNaBsAAIC2AW0DAADQNqBtAAAA2ga0DQAAaud6YD1iCtAOgbYVxZ9axCXEJcRz/PwZL51u0Sy1XLfpp3FrkQ0hG0Ie6q7VyN4Qsuk416tl0CEbQu5rmkzWYJ33gfS5be85j3um2Zzm1K2znZmL9J7YN8wR9BvbBtqWzcjeECsQFxmh/cJtpUSWhgoRGd9Zw6tqtapdJ2bOIyGbHl2vgpseUb2Cyk+yldq2CtYrep9f2wzPeWRv+A5azcg2rcJjTt0R4x4xrCljTmVvTdcs9UbbPvUbOd/vgQJtM0LvtZ/A+9RGK7OP2rai94SEHcT1wGrgnxDaluM5M8qn4xDXn6tcZ0PPEMhGG5u0X/1Gjvd7qEDbdFwPLKOtoG4r4wmJPAAuIa7w6RdmWQ49ovYShP6HmL56c5mSDX18RyJH3Ib0b53uXdSaUwddSqpzSWr3dsmXI92aUieunC5Tcv9PkhS5vxSk/2b0PvGPjWy5H+FqfkcFeWbvN6m8+CQ12qbPuxw+RJdLf98InwXRrRUca4kfSI8yD4dpfmEfFCO5Del9ktpxrlXadj2w+MfL5TU85ySvzldZXCeiRbrpnNkgUNyGiV0FNNkLN8xozaZ2fDxe75vNHq36HaHcpKmKtmX1DOaRtn3sN8zv91CBtinI9S2TQ2Muna5rDS/ZLFaXbXxzm2mmtM+16eXQUzbTMtrm31rkjqYlPxDmz2BttNvGd3L/Lp+s1Ana3/B39MDKWyXGd9wt+LcWozHL4QNXZ+FkY51z5L1yug9WN5U9OuZuqpy2BetVsJ45jx3rMc1Lb6LuRrADlkGH7YnovehIVJgUem3LyTLoqC2VcjqxmFqeZyU7MV1MiHan+EvH43Zlije4mNuxdC1nXqJhlLrsvvBsUtU65+wZ9EZbsMf9hvb9HirQNoGbHsnn/sqlMeMJ30a5JhusV4E/tcKGmPzCsBx6stO/pLZpbJe4ngaf5JXTZU2TP3ZOnfBvLUnJlsOHOhbOv3K6BnfiH1u+WdUNqrQtT94rpyuarTUxcx5Vbe96YEnf1MugE52pSJ05jw11UiNblu1xjxh0QpcqbpnL7xQvUG033eXMY9UuWJfStpw9Q1Z45H73G6r3e6hA2xRUsNvSqKQI4ftLyjK3u9PlWnRKKLObrptF4kBTxweax9sYs08nTgqdYD17ksMzj09Sz1XqU1XWVrYOVQdz6rF00Hj1SsycR9Xt3/SUzyqy1W56ikCnIuNteZuQ6ru+/G4Yht101+wehNKugWZt452Zhk0HaZ8Yaq5Jze4ZzEZbsMf9Buy2oyHLB61oK/7UIvywQbXvr7zXLQrvogzW2bEktB9qksqsiU7IpxP1sHO7bbvaprLbjKkKuy0akCs3plL3eFuwztopXhp+q2K31VbnzKeRY07bPvYbGG87Lm1br4KicZJCO/OnlvT9ZXGedM5vvhx6QgtWtOmScVaCD03yK47v0pEw/9aSQkVCOXT0HkXd2JWgKLFGVn410igg7acDYNJ1c/tRc+XN0LZq421qm2AZdATjjB1jE2wFVaMt72ui983ESZq1jU1aTK38dtt6tZx5gpVGqWS3NRMnmWm0BfvXb2S/30MF2pYNOwuED0mS4pqYWCaXkAkNPQb9OTsHk/aTE8TWxiQJjoWM65qhfcGfpY77MKQGvHjE8GGQMWythEvXI2whvM9TFlHN/Ratc0Ze+Y5KaRsfBikGSa4CLhJSTuWyW8EsPDntZ296pdxN+vlbLKXjJF03ih9JPZCRVqUnhDGQoaeRzvmMUTykfRG7ImN1pDTDIVnTvAV+fpjJaNvPfiPf+z1UoG0gH5LxBw4GPpCybg52fpu2PZtT9Q+5vfOgDxFoG8hDZqQlOGLKR5TssLYNr7kFdg20DZgQvHANxVAAAEC9QNsAAAC0DWgbAACAtgFtAwAA0DagbQCUZ/H2zH3xdefVAAAIQNsAKI9Z2xZvzxTrP8k8+7TY9Y0A0DKgbSBibsczZ4Ga7/6zHELFaBWnfPOPLvn4JVivgvWXF+67t9/T49A2AOoG2laacc80a8ecquLXsHNKSMjrHcx1zdA2bq0Hw5LtB8/cjhfISLcZU5753X/mvnt25j47e6cRJ1Hb4tMM2pZxdczNAiAf0LaSjGzTagvmVCP+4PVutM0Is15f2wlXcprQdbSSk2LFptDZeOb/jNXr56d3hJEr9rSC2pbj6uMeMayaYU4F4FiAtpWjuXWG9lXbVF18O6GUW+eQ3/rrywvXZWSMVa9wdI1VuBLaZr76Klgf5hpXAGwbaFs5yu7bO+2SxPF4qvQd6bXtW5/JS8gp6Uz9IiXrkFaq5VBsiJVrWC51qaUliBuXsMUmnXiY0ZpN7fh4vEIumz1aJzeCsSn5ZXZZJjQrNSyB0qRA1k8bqtqHecaNR/EjL76uZOWLf8/SNsXVq7c9AI4KaFs5yvQvI4+QU9L7pv4zzavUtm997uRfww6jbflKzoJSvWiVs9sWU8vzrGRw7mKiH6i7dDxuH5NYQed2LF3LmZdoGKWcQcMmNY4pokRwS+r0rFosCbQNgGygbeUY94ihB1GlfusLlpZGxkzaJptrRUrOohFt44wtfm9lwyWK7z+5nHkK993W+PqBuOEIHHs81bafn94xqdA2AJoG2lacUque8z5DovcfamUptMYYuoNfhUrOohFt0+0/uWZ9odI+W2ZtU7hJ0+zVfZIFiZyQKn3SRpr8/PQuvu6HF8XnANA+MbRAcyoAxwG0rRzFv50Fp6Kh5BwmV6Rn4Wl5S85iq9ommnRV7bbmyTsRm3FOLt6euS8+flCFUKbAbgOgAaBt5SjRv/iD16mxtQqSCW257LaRJxwc904J8cZFSs5i29rGJi2mVn67bb1azjyhPpQqg/Ubh5mRLZNrRS5oGwANAG0rRy1xkqwghfokEeuZ5JAUR930JWfABxxqohZLuO/SjExEOxtmyZc8oaGnkc75jFH17IvYFRmrIzeXXD0LbRtA2wDYS6Bt5UD/AtarIIe2FVmjKx/+wDLMzjanAnAsQNvKUiqiBLSE+Udd3D9L/XYb1twCIB/QNgAAAG0D2gYAAKBtQNsAAAC0DWgbAACAtgFtAwAA0DagbQAAANoGtA0AALbM9cB6xAShRoG2FcWfWsQlxCXEc/z8GS+dbtEstVy36adxa5ENIRtCHuqu1cjeELLpONerZdAhG0Lua5q21WCdG+N6YIVV3nSc621euo63MO6Z5nqaU7fOdmYQ0nti3zBH0KvUD7Qtm5G9IVYgLjJC+4VbQ4ksDRUiMr6zhlfValW7TsycR0I2PbpeBTc9onoFlZ/k4WhbUuf7LWub4S2M7A3fQasZ2aY1esypO2LcI4a1Xcyp7K3pGq3eaNunXiXn+91boG1G6L32S3mfWmFl9lHbVvSekLALuB5YDfybQdsqvwVG+XQc4up0lets6DcC2Whjk/arV8nxfvcXaJuO6wpIMVIAABTaSURBVIFltBXUrWE8IZGN7xLiCh93YZbl0CNqP0DoYYjpq7dxKdmUx3ckcsRtSP/W6d5F7TV10KWkOpekdm+XfDnSrSl14srpMiX3/yRJkYNLQfqPRO8TD9jIlnsKruZ3VJBn9n6TyotPUqNt+rzL4UN0ufT3jfBZEN1agdGUsAfpONdhn2jyPcraFmZJGmpUwuNgGdfECgb2hpANsW+Sxy71VpHPU9GLZbyFJK/OV1lcJ6LFsumc2ahP3A7JsK63NZva8fF43W02O784uHKzpCraltVvmEfa9rFXMb/f/QXapiDX10oOjbl0uq41vGSzWF22ec1tpiHSPtdql0NP2RDLaJt/a5E7mpb8QJg/g7XRbhvfyf27fLJSJ2h/w9/RAytvlRjfcbfg31qMxiyHD1ydhZONdc6R98rpPljdVPbomLup4tq2CtYret+xHgWPn0JI1HbbTY/vTEd2cvWbXiyTIzvuoZZBR+yq9NqWk2XQUetxOZ1YTC3Ps5IdkS4mRLtj+6XjcbsjxRtNzO1YupYzL9EwSl12f3Y2qWqdc/YbeqMt2ONeRft+9xdom8BNj+Rzf+XSmPGEb4VcowzWq8CfWmFTS35hWA492a1fUts0tktcT4NP8srpsqbJHzunTvi3lqRky+FDHUvUXzldgzvxjy3frOoGVdqWJ++V0xXN1urQe+lj/3pgSR/LJbQtTpo5j3Hem14zn+EjWxb1cY8YdEKXKm5dy+/YLlBtV9vlzGPVLliX0rac/UZWeOR+9yqq97u/QNsUVLDb0rijCOELS8oyt7vT5Vp0Oyizm66bReJAU8cHmsfbGLNPJ04KnWA9e5LDM49PUs9V6lNV1la2DlUHc+qxdNB49bKoRIuRKNNpe6Ftyu/68ntlGHa1XbN7AUq795m1jXdmGjb/o31iqLkmNbvfMBttwR73KrDbWkSWl1nRGvypRfiBgWpfWHmvWxTeRRmss2NJaD/UJJVZE52QTyfqYed2WxPaJvV6W7TbolG6coJX93hbsM7asV0afqtit9VW58ynkWNO2z72KhhvayXF4iSFluRPLekLy+J85ZxnfDn0hDaqaLUlI6kEH5rkVxzfpSNh/q0lhYqEcujoPYq6sStBUWKNrPxqpFFA2k8HwKTr5vaj5sqboW1lx9uI4NRSyphO29LLhT1RMW0r72ui983ESZq1jU1aTK38dtt6tZx5gpVGqWS3NRMnmWm0BfvXq2S/3/0F2pYNO8+DDzqSIpeYaCWXkAkNfQL9OTvLkvaTE8T2xCQJroOM65qhfcHxp477MKQGvHjE8GGQMWythEvXI2whvM9TFlHN/Ratc0Ze+Y5Kx5I416FTK4IxxbjjCbwQsk7daMK1fR87fh8Hy7gQ+yYaHCKKeJPC/xfZkw5Lx0m6bhQ/knogI61KTwhjIENPI53zGaN4SPsidkXG6khphkOypnkL/Pwwk9G2n71Kvve7v0DbQD4k4w/U+ni3PnGNuXSTXdjBzm/TtnZzqv4hH/I86EME2gbykBlpCaqxQ21rmvIRJTusbcNrboHmgbYBE4IXrv4YCiC4HPF1D0AdQNsAAAC0DWgbAACAtgFtAwAA0DagbQAAANoGtA0AAEDbgLYBAABoG9C20ox7pnk55lQVv4adU0JCXtc9mxWzdgAAxwS0rSQj27SegjnViD943YC2BetIbrXrKZhTAQDgkIC2laO5lYSa07ZDXP0IAADKAG0rR9mdeaddkjgeT5U+QL22feszeQk5JZ2pX6xkaBsA4DiAtpWjjE6MPEJOSe+b+s80r1LbvvW5k38NO4y25S0Z2gYAOA6gbeUY94hBCVSp3/qCpaWRMZO2yeZasZKhbQCA4wDaVpxS65rzPkOi9x9qfZKhNcbQHfwqVPJ6RfvEUHNzKgAAHA7QtnIUt4EEp6Kh5ByxJJGehaflLxl2GwDgOIC2laOETviD16mxtQqSCW257LaRJxwc904J8cbFSoa2AQCOA2hbOWqJk2QFKdQniVjPJIekOOqmL7lqnQEA4OCAtpXjEHXCH1iG2dnmVAAAOCSgbWUpFVGy69pizS0AwFEAbQMAANA2oG0AAADaBrQNAABA24C2AQAAaBvQNgAAAG0D2gYAAKBtQNsAAGDLXA+sx32ZINRSoG1F8acWcQlxCfEcP3/GS6dbNEst1236adxaZEPIhpCHums1sjeEbDrO9WoZdMiGkPuapt81WOdyzJzH6E6151wPrLDK5tPqp463MO6Z5nqaU7fOdmaC0nti3zBH0KvUD7Qtm5G9IVYgLjJC+4VbQ4ksDRUiMr6zhlfValW7ToQ9fo+uV8FNj6heQeUnuSfatgrWK3qfS7RynraVtzCyN3wHrWZkm9boMafuiHGPGNboMaeyt6ZrtHqjbZ96lZzvd2+Bthmh99ov5X1qhZXZR21b0XtCwi7gemA18G8Gbav8Fhjl03Gwq9NVqbOh3whko41N2q9eJcf73V+gbTquB5bRVlC3hvGERDa+S4grfNyFWZZDj6j9AKGHIaY/L3DdTMZ3JHLEbUj/1uneRe01ddClpDqXpHZvl3w50q0pdeLK6TIl9/8kSZGDS0H6j0TvEw/YyJZ7Cq7md1SQZ/Z+k8qLT1Kjbfq8y+FDdLn0943wWRDdWsHRlFC0mMei+aKStI3eE9acCv/krx72UDFKp2Lk81T0YhlvIcmr81UW14nlzCOuS+g8uJgQ1yWuS9wJV7H0uEtc177gMlqzqR0fj4risl86XpqXUNV/WRVty+o3zCNt+9irmN/v/gJtU5DrayWHxlw6XdcaXrJZrC7bvOY20xBpn2u1y6GnbIhltM2/tcgdTUt+IMyfwdpot43v5P5dPlmpE7S/4e/ogZW3SozvuFvwby1GY5bDB67OwsnGOufIe+V0H6xuKnt0zN1UaW2zHtkeRC0karvtpsd3piObubpgJSyDjqKf0mtbTpZBR63H5XRiMbU8z/Km0V1cTEjyu8il47nWLP4vu5gQ13MWq2A9t2PpWs68RMMoTbVQSKpa55z9ht5oC/a4V9G+3/0F2iZw0yP53F+5NGY84Vsh1yiD9Srwp1bY1JJfGJZDT3brl9Q2je0S19Pgk7xyuqxp8sfOqRP+rSUp2XL4UMdWA1dO1+BO/GPLN6u6QZW25cl75XRFs7U69F762L8eWJIIFdY2VSHLoNPMOMrIlkV93CMGndClLqYWZ2zNba22rYKLCatt8e+XjheK3Cq4mEQCtphakpItZx6rdsG6lLbl7DeywiP3u1dRvd/9BdqmoILdlsYdRQhfWFKWud2dLtei20GZ3XTdLBIHmjo+0Dzexph9OnFS6ATr2ZMcnnl8knquUp+qsraydag6mFOPpYPGq5dFJVqc+aU/zahtNz3lc649MEf5XV9+rwxRhHhtW0wtxidJXDevtvHOTEX2tG0QQ801qdn9htloC/a4V4Hd1iKyvMyK1uBPLcIPDFT7wsp73aLwLspgnR1LQvuhJqnMmuiEfDpRDzu325rQtu3Zbcqrl59lUfd4W7A2apto0lW122qrc+bTyDGnbR97FYy3tZJicZJCS/KnlvSFZXG+cs4zvhx6QhtVtNqSkVSCD03yK47v0pEw/9aSQkVCOXT0HkXd2JWgKLFGVn410igg7acDYNJ1c/tRc+XN0LYq4218hH2B8TbCihl/9WXQEVRT0tHyviZ630ycpFnb2KTF1Mpvt61Xy5knWGmUSnZbM3GSmUZbsH+9Svb73V+gbdmw8zz4oCMpcomJVnIJmdDQJ9Cfs7MsaT85QWxPTJLgOsi4rhnaF3xS6rgPQ2rAi0cMHwYZw9ZKuHQ9whbC+zxlEdXcb9E6Z+SV76i4tqVztyP7SYyT5AMdY9iOksnYo8yEaylV5ZC86ZVyN+nnb7GUjpN03Sh+JPVARlqVnhDGQIaeRjrnM0bxkPZF7IqM1ZHSDIdkTfMW+PlhJqNtP3uVfO93f4G2gXxIxh9oCQp3aI0c7Pw2bWs3p+of8iHPgz5EoG0gD5mRlgBoKB9RssPaNrzmFmgeaBswIXjh6o+hAACABoC2AQAAaBvQNgAAAG0D2gYAAKBtQNsAAAC0DWgbAACAtgFt2yHj3ikhHiaNAQBAzUDbSjPumeblmFPXq2A9m3bJKelM+UUEvvWJUfBGHiGnKWl2zMsBAIAYaFtJRrZpPQVz6ipYR0bbqSQ2Rm2bTbvktDv4pS/TtNu9ORUAANoDtK0cVVcSUhttWYw8lRzWVysAAGgH0LZyVFQRldH2a9hJnI2vxbyhFoqIp0HbAABgvYK2laWSihiNNn/wWqFtIbDbAAAgD9C2cox7xKATWanKkbYIaBsAAFQF2lacauuaZ420VdE27W73uVIBAKAtQNvKUdpCMhtta9htAABQHWhbOUqqSI7wSGgbAABUBdpWjnIqYjDa/MFrKQySiYQUpmxHiNPgoG0AALBeQdvKUkZFys1pK1wr7exscyoAALQHaFtZikeUZEeC1FAfrLkFAADQNgAAAK0D2gYAAKBtQNsAAAC0DWgbAACAtgFtAwAA0DagbQAAANoGtA0AAEDbgLYBAABoG9A2AAAAbQPaBgAAoG1A2wAAALQNaBsAAIC2AW0DAADQNqBtAAAA2ga0DQAAQNuAtgEAAGgb0DYAAABtA9oGAACgbUDbAAAAtA1oGwAAgLYBbQMAANA2oG0AAADaBrQNAABA24C2gWIs3p65L75yB39+eiccAQCAnQJtA1oWb89c4qa8+LqStW3+0SXuh7ffF8osGt69/b7zuwMAtBhoG8hFImmstoVK9mG+++oBAAALtM3AuEcIId3BskTqITG3XZe4nrNYLWcecV1C59I5krZ9/UBcl3z8spWrG7mYhNlLXJ3SyJS0ZpdC0nLYIYSQ/kiZ0ZwKANg10DYtI5sQazgrlXpYXDqeS9wJXYc6kXb0Pz+90/gkF2/P3GefFo1ePSYUP5e4LvGm7JdEpIXelM4mJbSN0vRalLr2hXTOuEcIsceaEsypAIBdAm3T4Q8sg3qZUw8NSmPZWEwtN+3l5x9ly0wRS9LQ1YPoSGqTUaq26pYltG0xtTkRndu8cAaZb7ldbQCAdgFt01G8X0tdaheT2NaZUDZXetwlTCceZrRmUzs+HhXFZQ/tmximi49PlpnQrNSwBEYz5jajJfOPrHFmjhMpHx6iu3qwXgWLqcWJ2aXj8Y80egJabUtsO1G3Lia8oaYqGdoGwKECbdNRrl9bTC3Ps5Ke9GKi6FUjLh2P8b+lg0ZzO5au5cxLNExwmrFJjaE00djxNlUUyXf/WVacZAVnpsq6Wq+WM0/hUUwelErbljOPd35eOp40aAdtA+BQgbbpGPeIoefSpS6mFmdsqfviiIsJq23x70wnezGJBEw0X1aBsUOvCcFQCy0zZcDkNljOPF3MSIlHAW0DoNVA21REUXCaGEhTqihCvLYtphZvweTVNt6ZKWSv7pPM5rv/LLLSUkn7+ekdOfN/buWN6EbaojdSQubZD4vosSseCO0TQ0swpwIAdge0TUdpn6RO20STrqrdtlVU2hb+XlO0ZCXKaJv5K8T8lvOkAgB2CbRNRxPaxiYtplZ+u03hQ+NC2Bvn64fYREu07cuLM//nd/+Z27xnMjJbtYZmifG2YL2iNHVCqkuAtgFwqEDbdJSOk3S5iHYST0wORPfghIZdNp3zGaN4SPsi7tPjfjmZaKybbtwcjPtx8fbMffHxQxoY+fUDaVredNqmcNWKY2YGbeNmzinNYmgbAIcKtE0H+rVorUghxP/LC1daZ+trKHU5F5M8nCUl/YFlmJ1tTgUA7BJom57yESUt5rv/bFvxI7sFa24BcMhA2wAAALQNaBsAAIC2AW0DAADQNqBtAAAA2ga0DQAAQNuAtgEAAGgbR6Jt1wPrsWiw/twmnuPvuuYAAAAKcxzaRu+JfaNLndvEJQoZg7YBAMCB0h5tG9kbYgWqhUJyGG20X4uMjeyNQUQBAABsh1ZoG70nZNNxrrWpmXpTk7atgvXMeSRk0yuwfQwAAICaOXRtux5YOnMtOUFltNG+S0iI5/i8tvlTi0nS5JrQ9SoYT+I/XW5dweuBtSHkHgsyAQDATjhgbctlISmNNtp3rWGyiL5uvE1jzPlTq8/vYkPUe68sg47BmgQAANAYB6ptNz2SZ2RLabSJ4rQK1pdON7e2CcfHE0YmZUb2hpDCIZoAAACqcKDatl7lsdvUI20qNVLKmHYQLlXHS6er3zATdhsAAOyGA9a2VbA2jmzpwiMr223p+TqjDeNtAACwSw5d29arQBMnaQiPpH0u9IP2i4y3hYwnpD9VGm30HnGSAACwW1qhbcF6Jc4ty5jTdul0k4hH1xpehgGQ9lhMUodBJiWI9p9+jh0AAIDt0R5t48gzpw0AAEBLaam2AQAAOGKgbQAAANoGtA0AAEDbKKZtyc/O6w0AAADogN0GAACgbUDbAAAAtA1oGwAAgLaxZW3LsU1orWDvbAAAOEK2q21bn1INbQMAgCOkfm3Trzu1baOtAtqda/iVvQAAAOwjtWqbcs1iNvVgVMG0K1uuPVEBAADsjrq07XpgmZcJ1hlt40m6JLG8sr4/tdIFiyeUkZzl0IsOpr8zu2mnGQWfZLgUsuf44fL/0jncFV2xWP5+sYsNAADsJTVoWy47Rm20+VOLpGK2HHqE+TMYT7g//aklysyl0/Wsrku601A16XguXlez6ajVZYuShuUydtOOK4zdRwEAYB+pqG03PZJn/MmwTWgsSxLq/UKlc+TdZzg02iaZYsKGpfm0LVivwhE4cijjiAAAcBRsxW4zjLQl7kTJf3ip3PmTJ/scnd0mHZzbrMrCbgMAgAOm1vE29fhT/vBIzkWZ024rp22StVfUbsN4GwAA7C/Nx0kajDZJY+a2MN7Geyxp3+WPlNc2YStt8bTxJN1T259awsn3iJMEAIB9ppn5bamYGY02JlJRGdPIR1FygSRhuKMumlGRyooZ7XuOz50jW2nqKErD7D0AAAD7QsPrkuznnDalMQcAAKAtHOVaydA2AABoNUenbZwr0jx/AAAAwGFydNoGAACg9RTTtuRn5/UGAAAAdBTQNgAAAOAggLYBAABoG9A2AAAAbeP/A3qDDTjizsSgAAAAAElFTkSuQmCC" alt="" />
因为json是一个集合,所以要循环渲染模板,当然也可以在模板中循环,后面会讲
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" alt="" />
运行结果:可以看到自定义属性保存了值,也展示了效果
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAe8AAAJxCAIAAADkb600AAAgAElEQVR4nOy9a3hU15nvuT7k23zpTGq6+/TpS6bnnDk96dNZZzpnOgmXpyfxpJ9MT9qn2yFKx+0FBisXGpN0p0m3FIOtOLKp1VgBG5AhGDBSYYMwYqkwuMAmgIS5yVio2FgYI2RxMQgh7hcJhNd82Le1L3Xfpa3a+v+e99FT2rX2uu1d//3ud696i0gAAACVDwm7AwAAAAKA3P/KV2CBW9iHFQAw4YCaQ80BAFEAag41BwBEAQL1CRCoOQAgLKDmQQI1BwCEBdQ8SKDmAICwgJoHCdQcABAWUPMggZoDAMICah4kUHMAQFhAzYMEag4ACItC1JxTyYRji8bdWyY2UHMAQFhkUHNOJSG26ZLtUnPBJCGSa/67ZDKrfAYEIzRXmXEL1BwAEBZ5+OaWiKtqrmt3kH65xinRgZoDAEChFKHmQhIiCQu0GxqnhAlD0qHmAABQKBnUXOMZIy2cSsrL1R2oOQAAFEUGNRfMx/v2PgUNHKg5AAAURWY1Vx3w7E84AxRfqDkAABRF5jUtXjdcjZv7+OiapLkWtOQM0UDNAQCgKPJboajLq+/ilmCBmgMAQFHkXNOiSWp64paIa1wSKsshuVBzAAAoiqLUXH9djpUtUHMAACiKnGoubDfcUnNGpaZJSoKPt0DNAQCgKHKpuRpU4VQy9dv8wl6KXir2F0EVKk/VoeYAgLDIst7cswCREc9qFmEUyDNJS+ArGscZUHMAQFjkn0NRk7Q8Tz4jBNQcABAWyG8eJFBzAEBYQM2DBGoOAAgLqHmQQM0BAGEBNQ8SqDkAICyg5kECNQcAhAXUPEig5gCAsICaBwnUHAAQFgWo+e1D/b27rpS7QxUN1BwAEBaBqfntQ/29r/bmNjFwO0MN6rf7K+9L/VJKqDkAIDwyqfntAZGHNCvq7ND6nvO9r57X/7myq7f/0G17ewY1d6TbEowQUu4frSsHUHMAQFjk6ZvfHhC9/aK/V/T3Z5Bjt5qbxfJTc8Gc/rj7/woBag4ACIvcan77UH/vq/0DF029vjjQ/6oi0GqxotXcI94VmhkXag4ACItsan5lV2+vItyqXutRclXTS1FzjVN3ZKUygy1QcwBAWPirua7j53ty7Gw8+dx1RXq13nxdpJr7bKoAoOYAgLDIHmnJ9izUFWzJpOBQcwAAGAOK+PbQlfOv9uqRdBVbzS8O9CvvItICAABjQGFqboRW/BQ54zPSiwP9pjt/fle+T0ErdFEL1BwAEBb+ap7vV4GUkMvtQ/29u86f91vuYpNpTYtnCUtlijnUHAAQGoX45sp3grzk9b3/zN8eEow4vz1UgVoONQcAhMd4UXNpCHpFf7Efag4ACI1A1by0PC0RAGoOAAiLPNS853ymVYkqpfvmEQBqDgAIC+Q3DxKoOQAgLKDmQQI1BwCEBdQ8SKDmAICwgJoHCdQcABAWUPMggZoDAMICah4kUHMAQFhAzYMEag4ACAuoeZBAzQEAYZFRzQWThORhTEopNZ5fYSIJlZm+tK9xWulf7YeaAwDCogDfXDBDu3Oi8XxLKrtQZ9atyktuLqHmAIDwKIuaCyYpL6gb7qyJFZpFEWoOAAiLsqg5p7Iwz9oj3p6E55UB1BwAEBZlUXNGZEFCjF+SAwCAEglMzVkej0AziTN+5RkAAEokm5rnI9A+PrjwW7iiSQo1BwCAshF8pMV/QUuhao5ICwAAFELwau6/oCWrmvssYanMRS1QcwBAWASv5v4LWrKruWcJS2WKOdQcABAawau5/4KW7GpuRFbUbw9VoJZDzQEA4RG0mmdS7VxqLg1Br+gv9kPNAQCh4a/mBeRdIZLyvFa/qOWjCtQcABAWyKEYJFBzAEBYQM2DBGoOAAgLqHmQQM0BAGEBNQ8SqDkAICyg5kECNQcAhAXUPEig5gCAsICaBwnUHAAQFlDzIIGaAwDCAmoeJFBzAEBYQM2DBGoOAAgLqHmQQM0BAGEBNQ8SqDkAICyg5kECNQcAhAXUPEig5gCAsICaBwnUHAAQFlDzIIGaAwDCAmoeJFBzAEBYQM2DBGoOAAgLqHmQQM0BAGEBNQ8SqDkAICyg5kECNQcAhAXUPEig5gCAsICaBwnUHAAQFlDzIIGaAwDCAmoeJFBzAEBYQM2DBGoOAAgLqHmQQM0BAGEBNQ8SqDkAICyg5kECNQcAhAXUPEig5gCAsICaBwnUHAAQFlDzIIGaAwDCAmoeJFBzAEBYQM2DBGoOAAgLqHmQQM0BAGEBNQ8SqDkAICyg5kECNQcAhAXUPEig5gCAsICaBwnUHAAQFlDzIIGaAwDCAmoeJFBzAEBYQM2DBGoOAAgLqHmQQM0BAGEBNQ8SqDkAICyg5kECNQcAhAXUPEig5gCAsICaBwnUHAAQFlDzIIGaAwDCglgCBAvQwj6sAIAJB9Qcag4AiAJQc6g5ACAKkLA7AAAAIACg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAWg5gAAEAVILwAAgMoHag4AAFEAag4AAFEAag4AAFEAag4AAFGAnLlyDwaDwWCVblBzGAwGi4KR/qERGAwGg1W6kf4r92CwEq134E770T6x91jLO13j35IdWkf3x70Dd0KfNxgsQCMfD43AYKXYqYHbbe3H0qcuXL01cvf+p+Pfrt4aOdZ7Uew9duri7dBnDwYLysjHQ/dgsFKs/Whf+tSF0DW6UEufutB+tC/02YPBgrIxVfMl2wYXbhl4IXmJi4v1LZ88vf5c7dr+eb/u+/Hy3tmLT1b/+4np9R9875lj367tfmjOe9/88Xuhzw4sHxN7j1WKV+7y0JMdWuizB4MFZaTv8siY2TMtF6/cGr1774FuV++Mnr1y7/pde4tln1we+d//dm9JzQ0Ob9/5my3JbR9duFHE7qcu3tr61s7tO3/TNzg8llNUidbyTlfo0lyctbzTFfrswWBBWWG++ZEPzpy9PHBs/+s9Ykb/up+ePfxaQbv/67pz6r/pM7cf/vnRt49e9S38ew+9XfQ1qu/yyJupd5oT65ubm996e08RNew5cGRdU1NzYv2bqXf6Lo8U3ZPjZ4cPnBgu9zU5XKtoNQ999mCwoKwANe8fvN7+66rhA4+Odv7TcPtD3T/40ptf//z2f/xq/9CNPGv4x2Wn1X+P9N7+Vk3XIwvSv0lf8xb+3JRUcUPqGxzeLN5MrH+tubn51XXrPui/XEQlJ85ebWpONDc3J9a/1prc1jdYpCLXLr/yb0uv7u8xdn9j22/qnvv3TPbcvy8Zy2MflEHNYbDxYKRv6F5OO3uu79r+Wadf/8aOF6Yd3Zq4lk7dfe+lc6/86dna/zz0q/+j952nPx66kU89LH5S/fe93ttVdccWbzn/nWeOHTh501X4c1NS+dTpstODw2+IrYn1r61bt27N2rWdx08XUYlu7584s3rNmnXr1jU1J97Ykjw9OFxEJWu3X//ZS1f+ecnl908P9w3dq//3JTNmPpHJps98oujehmgVreahzx4MFpSRvsv3fO3oh5+sXbvhYNdHiebVfclvffDSl+71/dvuDXPXPFdzu7N+27f/4me/9bnNfxu7ueI/3tzzV/2Xz2WqR7VH5mvd/Xesf987dbuq7ljLgSsLW85+++n0gQ9vKm/d/NyUVD51qnb60nDL5ra1r65bu3bt6jVrd+45UGgNLttzsOuVV1avXbt2XVNzS2vb6UvDRVRSu/zyP/1q6CcNgx+cK2b38W+VreZhzx4MFpRlVPO+y/cOdJ06cOTdkyeb+KNfWf3dP7q9ecqt4/+05P/9oysv/tmR2X+8f+ZnL8z+vZtvT7448MaZoQv5NPbdBcf+cvZ7X33i0JfY/j/77r73Tt3+zjPHmvZeXvXOpdpX+/5ufveBD29991/f/9yU1OempP7btL0FjeT0peENm7asWfvq6tWrX1m9ZnPbtkAmqG3bzjVr165evfrVdU0b39hShKBrZ4d/8PzAj/jlOYsu9V4q37F8f8mcqtmN75v/JhdUVVXVJe0CHatmV81d0rJqdlXVghZ1x+QCvy1KVTkMal667WycW1VVVaVPe0t9VVV98+X3l8zRt7mOjl64vjnsPgc7cD/mLumwyhivCz05y2It9Z6DklxQVVU1Z9XOUCeTnL48ksn6Ll//+MPWXzz65Ye/+t9//q3/a/5//2zfyj/98F+/0vn4f7i64LOXf/LHl7d++UY3OzvY2Td4O0s9lt299+D+g08t6zx1a9ozx1a+c+ml7Rf/ve2T2cs++t4vj3WfuX3n3oP7Dz69e+9BPnVatnGzeGX1mlWrVr2yes265vW9l+4WtHsm6710d/2GTVbNGzeLIirZuPv6958f+P5zl3/ccEnf8vf/MP2xx59w2fRZ3y+hq0eWzKma3XjkdEu992Phu31+S9t8+69ZT8eq2VVVVVX1S1radlh1Zm06s5pveZQQ8sX4EUs9HyOEsJb7x577InHz2BajvHOXu5uZvu3RzZ/eNXZkLcGpea5ZbZvvEJeR05dHmurUOfQWq28q/PDtaJxbVdfWVGcdqfqmy0eWzPEcHatwUa04zDjQ3rHYp5PPW+ZZpJ4V5oQUO/A5q3b4d0+f8Lb5SnPq5FtHpAjboV5F6toK272l3n+6fAcyhpZRzfceTPcNXnhzyy8fnvQXX/nD/+W7f/y5t6r/7M1v/8GVf/+L60v+t9vbvn3p4A+GPn7+o7633t69+70PzhTRduepW99+Or1k20UuPnn2jXNPvX72By+d/O4v0kf787o2uGzDG1t+veqVlStX/nrVK682JQJU8+bXNlo1b3hjSxGVbNxzY3rdhceeHpyzaEDf8g8zZj3xwzkum/n92cX20/7sza+rd36uDEU2lKJj1WynBql6oX9UlA/qkaa6ua6PrteCV3NCn+tWdwlJzd3Xv7lLOlxqos+bKuUlq3ldvSGyc+rnK2q+I4cPW/g541Fz5UC7RqS8Zc2JrVxW4WIHbu67o7F+SWNbk73RmvD6ppb6qqq5SxrrzcHqJ3xxlzTHhaqqKhA1HxdGTl++52vp3kt7D+7fsumFSX/8H7/+Hz47n/7RniWTb7T/3zfavzlw6F8+3P3EKy9MfXXNL9u27dia6mjbtjtTPVms89TtR55Ox7d88otN537+2pl5Tf0/WP7RX9cc5Rv6i6it99Lw+g1vrFz1SmNjY+PLK15/QxRRiddat6ZWrPx1Y2PjipWr1m94o/fScKE1HDs7/MjPzn3rpwOPLTj/4cWRQHrlZ0ak5fTle6ZkKy+U23blJK6fX1U1vyU5v6pqfsu9rHph1uxnhau58e+RhdSUaaW87p0vPGZt+eIXaT5qfnHwyn/6T//5c7HYH33+87p9Lhb7L//lTy4OXsmq5pnmM6mL1PwWc0vLqiUd75siopTUZbEuWcrh26FEWkzf/P0lc+yj427O0NMSThhnt40OzFm14/I944pljchQ8Pom+7Uutda7c2d7pyX/gc9Z1dQ4d3ZjUj9F57e8v2RO1fxG3TdXzts59fPn6A0Zf40OFDfV9uy9v6QxqR5xe7Dmx8pvyPbnq6pq7pKO5Hy7TmUXcw5tJ6DEo5bVSO/gSBb76OzJeO0PFi/43qHUv9V+f0pT47dfX/XNA/t/9fr6F1781aKTF25n3z27HT5165EF6WdaztWsP/MvTR9XLz358M+7V6cuHDt7p7gKTw3cbX69pfHlFcuWLVu6bFlq9/5Sutc7OLLr3SPLli1ftmxZ48srm17beGrgbhGVsGfOf232hf/xL2ePflzkuPKzI4vnVM1efqS3pb6qqmr28iNNLW2plraU+a9RzPTNewdHegcdvnmWylPL586ua0tleDeHmrvJpeaPxZ/7onkN2MwIoc8tZHn65q9taPnMZz5jtfSZz3zmtQ0t2X3zjKM2xK7NvV1xTq0JsT6r9jwXaKnlpm8+x7qmzp09x3t0LEd47uw5xTfnN8Aji3VFtl/YhZvqqqqq5i7uMIY/f/mq2eZgm+qqquasWlzn3qWAgc9ZldI7o7+oq59fVd/UsWq23qLautE3g+wnbSZTanN/fBzMWZUadN+KGWM01FzfRa+qbb66i35udJizZPryxR+s/IycHhzJbjt27ft48OIHfT1vbH7t5Nm+vsGr+vb0qYGc+2a3zlO3Hq7tfiz+wcM/737yldNPvnL6WzVHtbN3Sqmzd+Bu0/qNjS+veOmllxYvXnKw+1TRVb33Qf/ixUteeumlxpdXrEts6B24W0Qli9ZfnlJ99q/mnNmTvnV6cKR69k++8Kd/lsm++N/+vISxHzFdmwwFPHHz2ctXOSItPueu5WK0ZWk6aDXfcmQh1YMtLY8R8sX4kc35qrkq6Dml3PDNM43L/ChmessSFH3jjuWWCtc3FX74dlhqvvzIjuVzq+as2jHojJtbh7iubcfyuVVV9U2DbfMz9TAfM9Xcef7UN9kv7MK6Ai7psIIMZpjY7ENTXQkDN+upqmvTuzF7+RE7bm66I8YJbHXY2l5gi/5ddc6GOV5Do3coh3h+i9n0nLnKCWCV9ASp6tp8T5hyWA7fvHdwZGuqfevOjiWLGwO/knxw/u6CtafXvXPhqdW901/o+cnavkefP75i6/kSqz01cPfVxOtLlzcuWbJk8ZIXu3sHiqjk+JmrS1586cUXX1y2vHFt82vFeeW9gyNf+1HfpFkft+y5rv+7duPWufN+nsl+8rP5xY7a8CxmLz/S6z2fLK/KdIJ0t8Kl5r2qW+Gq2euiKhZwpMUMoH9xYfxR/d1C1FwX9D/4wz/MKeU5fHNzGm2XqmXV4o6RpuXW/BgC1DvYttjykYv1wlLmxWD28jbzULYtdvjmtveXMtQ88w1EPubc1+iA6pBa1VqRFnWALfVVVXMXL6/XtzeV5psvrtPPxrnz6+ZW1dXPr5q7uMXwzdUYRdNyVzCw2Bar1PP8yOLlba7ZMP13e86tHc2xm3dRxi5WSeuscLdrPysu8jOe23Kree/gSGPjmjI1r1vHB9f/dkH6x2v6fth46ttPH/toYLjECk8N3E1seGPxkhdfaGhoEduKqKEt9ZuGhl8tXvJiYsMbRUt57+BIu3Zrw2+ulXX2TDMjLeaWpjrnWeWj5nrhcajm1sNP1nLfq+Y+bn5xllXNbYVVL4ru25e6Nu/ls0g1t5+C1jd1rJo9p37+HKvdI4vnWAENV5cM77jgE8bnKagZf/B9QKo3YV+uzFHXtfWWqObOuZ3fMmLOgzseYoRl7B2LU0Yf97moSIvdYUXN1fCL72DDVvP3PyzVX85pP1p84u+fP/6dX2j/UK+duFi8elp2auDu+pbWX69ee/zM1SJ27zl3bfWrzetbWkuR8rG1AtTcKTpONfdlzNVcV3DjWWhIam5MmvOT7JB4Q1kcQlBULNs4dt75970wBCMKbsl2VeiQPOUGxb75UAPQpfnm9fOXt/UOjqRa2pqWr2qyG7I00QjlLw7CN1cqdB0yZciq5z7H05znkqbfQpl7OVa1Wg8bshzQoIycGhwZD5bquvJvq0692Xkl9J5UqK0z3YR1vopc12aUNJ+CnhocOWWfqfXrrErmrEo5ajZ88yxNV/S3h0I/cObhmzu/zriRV2de+dc2Xc3Xhd3nQMxyt+2NjufMtqvrKhylSQjKxouawyrXoOYw2HgwqDmsVIOaw2DjwcipSyMwWClW2Woe9uzBYEEZ+ejSCAxWilW0moc+ezBYUAY1h5VqUHMYbDwYaXmnCwYrxY73DYSuy8XZeyfOhT57MFhQRkL/RMFgMBisdCN3731abrt1d3QMWqnc/sBgMFjpRu7ce1Buu3z99hi0Urn9gcFgsNKN3B55UG47f+nqGLRSuf2BwWCw0o3cGnlQbus9OzAGrVRuf2AwGKx0IzeHH5Tbjp86NwatVG5/YDAYrHQbCzXv+uB06OMcz/2BwWCw0o3cuPug3Haw68QYtFK5/YHBYLDSjVy/+yCT3T1QN7z7ybu/+cc77863Ng7vq9U33t07L8u+qu09fCy/kq2Px6pfc/w79flOd7HXZukbjz4/JeZE3TeQ/qiNxmJ6ZzpfmByLxWa1FlrDeLMDfGosFnu8xfNWS3UsFpvMj+ZbvrxmHOUxaFcf4Dg+sv4fh7yspTo25YUDZejVa7N8TpVQKoFdv/uAXLvzIJPdeecHI4fjI4cX3n5rRvaN2W3HviN5lWypnhw/eu1O6+MxHx5v0Yu1Pj7lhf13Hly7c/S5KVOf67R2P/rclOrXgu2PYrqaP9f54Jqp5oXWULC1VMdiZqN3zLHHYjFj+Fn6ac6D3lW1vF7nrNZrdx7sj09VZtXd7uT4Udf2jOXLPQlZx1t0tY+3PFDOJX1u1akOxvbHp8YCq7aEHpZpGu88eG2Wz6kSSiWwa3cekKt3RjPZrbemjxz4xcj+uhtbq7JvzG5bdx3Io1jXc7MWvXtn9Oqd1sdj1eud766fFXu8ZXT9LEXdp1Q/7vHN1wfZH3cHYrGpz3UWtldJZqh5LDZFnxZ9ZtR//eZwijIPnYsmu8qbap6z3cnxLtf2dw01D3iYp89d27nrWKZ3341P9fakdFs/a+pznaNXOxc9blXeuWhytoktwlofj8Vis6ofL+S0yTobrQVV5bCW6qynTfEHaP0sn1Ol0K5mqARWsJGrt0cz2Y3ktOGOnw+311xrfTj7xuz2xva9uYttrH584+jVjdWxWdX+vvnG0au3R9fPmvrc4bwaLbU/t0evHl40WW97Vquh5ofNjbNar240lfG23jG7k6apNxnV683tuiwafvdh49/J8dbnptgb9Qmxdp4c77IrnLLoXU/9k+NdzuZik+NdRlft8qNqnw11NjrcZbZevX5jtbvFWCw2ZdF6//LWDOgljd2VGrLZgc7e117fd6J3MFMBQ81LO9yuCj1nVvV6/VirExWYtT4ey/eMzTUbBVTlto3VsaJGl/MAGUJcWlczVAIr2MiV26OZ7Nrmbw3v/unwb/75ysZvZN+Y3daLt3OWScwyVGPf7dYZseqEb7HDiybNat0Xnzop3nVFETubKYv2BdSfK7dbZ7hrn1p/ePTK4UWTYrHYrFazgN7Vrvop1mult+res1qv3B51dntq/eHRfV590UexsToWi02Kt9ZPMZvWWzTG6O7ejI2OLZPiXe4OOHuitztjozL5rt2NQblaGfVunxTv8puuDAfx9uiV26MXr95NvnlkXdOe1M50jlPCrkpt16z88KJJsep6cyyJWdaMWeeStzOtM6Ys2nd7NDFLn1XHQdEnRD0o+pYrt1tnxKbWx6uN8W6sjk1ZlDCKTa0/bPfWLK/sdTjHyZbPbBhVbbSOqTIipf+T4l3+J7A5G3b3Di+alPkY5dcl54SrHxC70a76KcrJOavVLmB+WhOz1G7DijcydHs0k13Z8NDdt+fc3Tn7cmJK9o3Z7dU3UnkU6/rllOrE7dGh260zYlMneXRkUryrQxW+KYt+OSs2Y6O1u3ENCKw/+idkyqIOo/JYLDb1l4dHh0w1HzLkxt44Kd6VeWjGx6/D1B3rXWNQs1qHXA0Zat5ltDhlUYep5h1W9/S97NbthqztPsxqHXL0RGnU1FC7XaM2vebYjI2jSn/MfWe1OivRCxsV+tr61/e98srbr766u//C9SxHoSM+1ZzVrl9OsWe4Iz7V6IBz5u0j4pyKxCxrhkeHDi+aYcyVcsIcXjTJGJFSuVG/XqE1Uvv00Nt1HNON1THHedg6I+s8FDIbytFXO+lo0dBr13QlZhk7dsSnWkPQNbTEA6RMuDrJ6qjVA6EOwe5h9p7A8jdy+dZoRmuedPetWXffmnlxzZ9fvjU6dHv06p3RoQ1/dXfn7OH22kuvfT3bvoo1i7dzlulYaCj1pJnVk6ZUz5hS3XyrdcbM1ssbqict7OpYOHXSwi6rpP66eaZLpaqbg+6P2agpT4dGLx9aNCkWi81svXxr9PKGar1Mx8KpxruOSlzuanXzLXN3nZmt2RoyK1fKLDI+DMp0xRy1GZ8cYx4OmbJrdWlDtavdGRvcxez+KIWt2Z6xwaxEZcqiDmOwRtPNM2N+E2Jb/8Wbb7QeXLVq5/Yd3dmPgjEzhxZNchzf1hn24bC3N8+MqeeJ1XnztfcGImbXb8xA1y+nxGZsUM4Wo06zRWsmrYlV+5Cpn1lPtvxmw1VV64xYdbNzyPZIXd2we2tVkqNjeR4gR+s+rbjnUy1vvXYNAVa0kcFbo5ns4ur/886bj97Z+r1PVnzhyp3Rdc3rf/d3f/f89n+51b7g9373t5fUzb5650GW3S3buH1vPsUM21Adm7noWa9vvrBLL9A001CQZ2fGpm+wdmydHqtuyq+JfPrTrsvlzFaz8lgsNvXZQ6ODpprb22e2Ns2MxaYsanfW0DQzFjO61PXsFOu1UnksNmlhl6MhQ+urm/R5sEfdZU/IlEXtZg3WnJjmbMiUabtjpkBbfZi+wdmoOb2TFnYZhY3djQ5M3+CoRDF9itRKpj57KMckv7O3Z/Wa33zQO5jlKBhjPLRokuP4tk63D4e9vWmmPSftC6danVRfN800d1SHcGjRJGWkynll1Wm2aM2kNbFqHzL1M4/TMnkww2IAACAASURBVNdsOKsyG1KHbI/U1Q2lt0b5DdWeI1jMAXK0breidtUxn2p567VrCLCijQzeHM1kn6z4kztbvn1HTLu0+Ts/+9eaz372s4nXNgwkvnb3reqtv6793P/82R/N/sfrdx9kqUE38faBnGUGb5oyEYtNWtj67OTqpput02e2Dm6o1iVv0sLWZyfHYrHYpMlTJy3sGrxpyrpNdVM+reTZn4PeMMXUZw+a22e26sV02Zo0OaZ3ydry7MGuZyf7dK/d6VPbaq6iV26puas/kxe13xwdvKmrp2vsdqOTFnYZuxjllRme2Tp4U1Hzm96u6u26mohlKD/12YNWf4xDYE5C7mNx/KPB1rb3Mr1rqLk5NGs22hdONcZ1cNEk5bgbumCVMQ+T8rrr2cnGgZi+wXm4zYmyKzfqtwaojGhDtbOM2Qdnf9x7lTQbhutgn2b2eWK12DrdOEat0+2Tp+vZyTFHbydXT58ccwy/2AOkTrgyJ+qou55V2lLLW68dlcBKMHLp5v1MdnbpH91+4/+7ufMnf/W1Sb//+7//Xlf68q37Z5f9r7c3/82dN6cfap7z+c9//mtf+/qla7ezVHLp5v1tezuzF7h0837TzFhs5uZLNzdPN6Swuunm5ukzN1/aUD1pYdfehVMnLezSS1qvm2bGpm8w9zWVbm+uhvLsz6Wb9y/ZV5fNz07W5en+JUPNNzvLTH32oDIQtWQsFpu56NnJutLd36tq98zNl8wtkxYumu4agqnmVn+Mfa0CjutNdZO7z12XTDXf6xqR0q4+gZdubrZabzK9fkcTMzfrk+wub49983SlG/Yk5DPPmU097o5GHZNgjv3mfV0X7OkyD5P62t8OLpqkTJTiKFij0M9MZSZ9+2C/3uy8FpY+G5unx6Y+u7DaPQPOk8o8QOrpMfXZhUpvTXHP55OS09QJV+fEmMDJi/Yaau5T3nrtqARWgpGBG/cz2Zlf/c7tDf/P1Td/RP/rn3zhC184feb8pZvGxjub/0f/1p/8+Z//+Rf+9E/PD17PUsnAjftv7+/OXsC216snPd81cKPrF5Or1xkbjU/F9NeNMnuenzrp+a51imM+/XW9mLVLDiugP+W3Pc9PjcVik57vCr0nsIlhXb+YbH+aYFEycvHG/Uz28YufPx3/n/peiJ3bzL71Nw//9m//9uH302d//aX+lz5/6NUf/OEf/Mevfe3r5wavDdzMWINuezp7shcIwjazWPW6/AqPSX/ytd3PT43FYl99viv0nsAmhL1eHcv7kwKrLCMXrt/PaRev3x+6NfrP/zLvt37rtz7+ZGjo1ujv/M7vfP+HPxq6PXrxRu7d3+0+lU8rY2bjqj+/MdU89J7Aom5ddZNjsdjUugOh9wRWFstLzS9cv3/x+v1LN0dP9l+8dPP+wI37H/VfHLw5ejG/fTs/OBP6OMdzf2AwGKx0I59cu19uO/rRhTFopXL7A4PBYKUbOX/tfrntgzNDY9BK5fYHBoPBSjdy7ur9cttHn9wcg1Yqtz8wGAxWupGzV++V2z6+PDwGrVRuf2AwGKx0I2ev3IPBYDBYpRtpeacLBoPBYJVuRAIAAKh8oOYAABAFoOYAABAFoOYAABAFoOYAABAFoOYAABAFoOYAABAFyqPmw/vWPvPi1vNlqXvsuHn6N5u2vh92LwAAIB8CU/Obx3Ym950x/tm39umGLb1SSjm0fVlNTU1NTc1TCxat67ggpZQ3u7Ysr59fUzO/YfOxYXPDcwueqnlqwbMvtZ0Y7ljzdI3Fyl3vv15fU1OzuK1fr6r+9WTilzVmnb/afGzYasLYwdO1oe3Lan6Z6HRtvfDm63oXfTm+idfUKHtd39e2Ve8tAACMRwJR8wudO7ftO2lr3YnNDct3DOmv+9uWr+kYlsNX3nudL9p8Qva2vbx0y3tXhuXN/ev42n1y+NimpS+/qV0ZlsNX9je9vqt3Z9uuM8PHNy1LdMrhg29uPy4vvPniy28PSzl8rG3T22eGpdy3dumWXinl8JW3f92w6bjZhJTDZ95e1bzH27/+tuVr9zm2DJ95e+WLm45nHZVrr+FjWzfvuVDkDAEAQJkpVc2Hz3SmUvvOOLzW4bdXrtxlbBnavlJXWikPNi3b/P6OVat2DZlvLV+15/im5YlOj8/rFNLjmxav3Xdhz2bDOe5MLNt0XEp58/SOlS9uOi6Hti9fuWtYDne+/vouX+95aPvLi1etWrTgqZr5L789JGV/22LTk1+2fUge38Rr6uPx+U8tWrr02afmr2m3urfSVd/xrZt2Qc8BAOOS0tT8VGrzztMeBe3ctNEQcDm8a9UqQxJ7t7yc6Ni+0lbpfWtXbu9IvOwT7hhSi0kpOxM8vs70i/UYiB662XtmWA7vWvmULc0+DO9a1ZDYd/qmPLaxway2v22lFUQZ2r7y5R1nujYuazp45e2XzUqUnitVHRGb913LNSsAADD2lOib+4Ufjm/etMsS85XLdXUc7ky8+Pr7e1YtNxV3aNeqVTve37ys6aCnUo9XbHrjUkqpx2CUHhhNHNvYlEnMjT4M7XjZ1Gf1cqHLtl7tvrUrLTFfudxZ3/Dp9uTOYzezzwcAAIRE6XFzOwTiYbhjzcrtQ/Lm6X2bli5at29Y7lvL1+2/KYevaG++/HJbrzy+ifPXu25KeXPg6PbNO3UvfXjXypVvqxUe3/TyxmPG694tLzvFXG9CyuEr2o6NW9/3dMQuYFc7tH1Z4w5Dl3XZ1qvtTKxs63fupXPz5J7UnpNQcgDA+CWIp6DDx7a27buuvz6xpaG++bCUUspOY+3JUwsWrdxy8IJecnPD/Jqa+fXL2/QLwPGtS599qqZmfv3yLV03pbTWwHDLF9dreWrlrmHzTWV5Sqe1vKWmpubplbs8zrleYNn2oX1rnzZrkbJ/64tP1cyvX7PrwtD2ZTU1fOVKXlPz4rJlT9U8vXaf3LfWXFOj9+LEvtQBbzgJAADGFfj2EAAARAGoOQAARAGoOQAARAGoOQAARAGoOQAARAGHmr934mzdmp01K7apVrdmxwHt47D6FxYab6S8ndNGrpW9Jelqg7EyN1kGvKMonTLOQzsjCSEShLWXrQkAxhqHmtet2Xnr7sinn346ev/+yPCdWzeuXR0a6O8/XbdmR3l7IQKXgh7OS/mgtjOa1ESC8p7AepQJzp3/Bz8XY4F7FKUT7Dxokgv7H97IRA+nCZFlDwAqDYea16zY9mB09N7I8J1bN65fHbw8cO7C2d4zpz+oWbEtVz3tjLVLTVLi8xnM/klnRBK/vYpG442ExEtxuzSeFOr1gBHJPB98waWjzw69yBuPZgUvixaapEQSIkngPq9zFOrMCCaJeoA9fXAXMMk0D3kdCyecSqLu1c55jxRJq0HBIOsgCrjV/O6dWzeuDQ0NfjJw/uNzfR/2new+efxwDjXXkpQYnwefG25N0lzqUYbb9HYW5E208FEQRh0KonGfMjnhzClDfg0FhTXLggU83fYodLG2ZkZIyh1lOJXCfIsJnwJSfdeXPI5FnnvZtDNS/pAaAGXGreZXhwaIk3Tn7mxqriUpTVofBI1Lpjtb+udLGI6X4XuZ/1IqCbE/yAWouZakJE5oUvBGQuJM9HAaJyROSCOlcUIsJ8tWc8HihCUYiRMSNz7ReiXEKC+Y/tqox68nwhwVkUIqDqbp8VkOpj5sjUtCJXMOUh+8Q1I87rzlYxruJLMnixBJmaTKv64CLrHy1mAVEMxd2IK5RkEk5UZV+rww4hip7yhsXVbEmhEpFDXXuKTcp4BrHlx9EDmPhfUvlVS9C8l5mewZi2ckAJQTt5rroZXeE10n0gePHdnbdWDn4fatGdVcJIgi5dL6kDoVQ32apXtRjEmpSVaEmktpKLVI6B9PjTcyITWe4Jp6y6z65u1MV3ktyXiPNAIpBSEMXVA7mt2t5tR2hDN6mcwt7taMGK+FIXlcMwrrasi5TwE3vgU0Sf0iFVZ/jGKWyLpiZ8K+emW5Nqgzw6l94XFcz5lxy+Yu4JoHs1G7lVzHwpgiZp5nzp5no4fTePlujQAoN2417zvZfVI7fLyr4+ihdzr3bT+wW7z7zhvZfXPVM1Pv5sum5lIqqxHyUnP9tanmUrY7XPU82pPmpSNvNWe2d5lpbK7QsMYdssiZFFxSJgU3fVIhOZVMGDu6C3jrz1BAMH9pU0dkHDOXsFq+uXJEvQFu98zoG6mzk4pX7iqgeYbj6HCuY1G0miuRdAAqEYeaP7M6dfS9fenO3UfeTR3c07Z/V2vHzpZdb21a8MpbWaoQzJbFMVFzwzenhqNdsJoLbtxPCNbItTwjLcWquVvFTHIuTBRMUm78lVJKTTIquZBM8fodBby9dhbwcb095b2+uctNpp4rkM9Tb6+aC/ejV+vexVvAvTDR9M2tvpVDzbFaEVQ+DjXff6zvmdUp13rzBa+81dGd+Qc0pZRGbLrdfgYmHA6cvaZA2LFc/a9QIrGZRMmBGTfXRIKQOOXtnBphccoSlMQp7zHWtDjD4maEvZFr0i7gDBNlRO+icD7i02PlVImNUGKHp60AQqa4ee6FicIdWTZ0SnmQqBYQzLNYxVWDElPWpCeKooxUjZurIXJNSMEd43KPQoliO+ZBeS6qPm/wLaB2yYqb67PNtVzHQg8lKWcY1+xjkWExj3H2AlDh4LugZcDSoIx4XEXf6MS4w/NQO/Awc2XMAwDjEag5AABEAag5AABEAag5AABEAag5AABEAag5AABEAag5AABEgXKpOVKlAwDAWFIuNQ8tVToAAExIyqXmaqp0QkhQqdLzgVPr25HIWw0AmCiUUc2tVOmEkGBSpeeJnVwEeasBABOFMqp5wKnSlcQhOX/HRvlSPfJWAwAmBGVUcytVOiEkgFTpSjo/7kyhbuShsn7kyJ3GFXmrAQDRp4xqbqVKJ4QEkCpdyfhkeetMTdhn5YByp3FF3moAQPQpl5oHnyrd74cTHL65lflVzcKNvNUAgIlBudS8HKnS7YTbTC+p/MoolZq1hRrrYZC3GgAwccB3QQEAIApAzQEAIApAzQEAIApAzQEAIApAzQEAIApAzQEAIApAzQEAIAogvzkAAEQB5DcHAIAoMBb5za9fHSxjfnNh5mnxvoP85gCACQO5eHFAtYGBwRs3bpZer5rffOD8x2XNb24lU/SA/OYAgIkCmfqX31TtoW88/OST8w4ffv/w4fdLkfVy5De3ErO485sTKcwsLpRLTpUyyG8OAJgYkFk//JnLHvnOzIe+8fBD33j48OH3i65XzW9+In2wlPzmGpdMODIjMjPHliPJorVFuJx65DcHAEQfMuP787z2yHdmPvKdmU8+Oa9o91zNb3700Dul5DfXdVwNvOjyzZntsxv7aZIy47csbJDfHAAwASDsiZ96Tdf0h77x8MDAYHH1BpjfPJNvbqQ1V15IKQWTDjcc+c0BABODbGo+9S+/efHiQHH1lprf3JPNXGaOm1OqlOFS81QFAACRx1/NdStFzUNAk5RIxMcBABOTCKk5AABMYAw1//JXv24Z1BwAACoO+OYAABAF4JsDAEAUgG8OAABRAL45AABEgQrwzaObKr2dkYQo7/ebxqCJ0sm7k4zlKFBRaLyR8vZxnkeoDJ2siHOyIiHsiZ+ONvzj/Rdm6zYOffOopkrXeCMTPZyWMW3vGDRROnl30p1/J2DUL56NBe2MJjWRoLxnLFstkOA7WRHnZIVSAb55qanSdayEi+Vz75R0viY9nMYzfBLaOe9x55Cxvv9a/JegNGknu/FronQ8FQqWaYz5kHcnXfl3BMt2LAubSeHI1WlsK6+4azwpZA/nwfqnSoVakuaZDlokiPu8NesIpJOOmXQfbvwIQYAQ9sRP7zc9fn+dYePQNy89VbosJFt6wGhJlr/SWYnEikNPfVDmr8MKFkpkQPiMK0vgpYiZdO3C6Ni66kGgJakSvtB4Iu9fCCinpOaYSfwIQWBUhm9eYqp0PeO5lQldulK+6G47lcKZId3IAJPhh43ciAQhjrQwgsUJiRMSp7xHaklKjH9dxawe28naLZeTEdtndKdvF2Z5Kql6x+Gnevlj9dPsocYbCYkT4/PWw6lrCPoW5dPorEGwOGEJRuKExJmQecxDBlT/zpvBxzhgumrkM5NmSmXVu7fVXKkh02R6fX9G7FNKb4JR45BZ7wphbykMa+YbKY2brnQ7U6dRPwPtgyU1nmCskZC4lWvaPCfN42UfjoRQzlhHGRVGzN8cMD8V2echn5k0RgdBDwDCnvjp/Tf//v5Ww8anb15iqnTp8s096RillJzaG/WsjfoumX/YyIsa2DG9pKJ9cyt9u91d58/r6akj9V1YMGpu+mhmWNNvFF6PT9lix0M13siENB55yQLnwY0mmaKA1jHTR20fWiXKpM6kVcCaUutd5qvmfv+6MHbUJNVfeGL6nLqz73MmNedACkGfT32q9cNkO9R24EI5A40HmD3SKmmHv9sZTWrKbVbevrkwr3/6QKzhW4lM/Z5t5HWfhB8hCADCnvjpYzN//NjMH6svxpual5gqXTrV3JsqXXo+/qWquUgYp2bRaq6+ZupHyCoQvJrb7h4xPv/eyrKqueN6xniPvaUUNde4cgyUSdBHbd1nqW6vW5qp4jAGoeZGqN1zf+DtgHqxocVHbzxqrtwnEUsHXWqeUMVaPXBGDczy2fNWc9sHZ45/rWG65kHmp+b4EYIgII/N/PH9dx+5t8+wL3/165agjxM1Lz1VuszHNw9azQ0/SH+RZ4Qhp29eXjU3/Wivby6lEFbspUDfXFXz4iItjvi45Q+aL3wfiTiuizSDb664lrIgNVdcVKsPVuRBn39rdzsNP5Oas8VCyOab22RTc49vbh0s40XuSIt9dunnpMc3986DzEPNsVoxIMhjM3/86Iy5uldu2bhS89JTpVvemyXiPnFz1XWjkjDJiKRM0jzjnHbUMmGG5uOExAltzHdpAXN2QvrFzV3RYT2Iqf/VrzyucRaIFVel1Ai2Wp9w+xqhj9SIZdkeoqEU3rg5iTPhCa9nxBlNktLn5t2YCmpnQLZcb/1f10xaU2c9BhHMWYPlaBPHXZs1k971M9ahMc4PpQbrJ1TUY2HEzTXnQ4786eHUeAJBWYIas23dSDUqV1PnIwqa1JQnOhni5o2U5nll9QzTHTf3FHDNpLdG/AhBcJDHZv54JP3ISPrvdNN9c93GiZqDCU2J63xCwXpkHTGYU6bBOMPwzS1TPXSoOQAAVArksZk/vnv223f6/063L3/165amQ80BAKBScPvmqocONQcAgEoBvjkAAEQB+OYAABAFSNVjsy9f+t6lge/qBt8cAAAqEVL12OzvPPrD7zz6w0dnzNX/PjpjbtVjs6semx09NY9uqvScRDOpdEWkCAdgbCBVj80+e+Xx/svTddN986iqeeWkSg84V2pEk0pXRIpwAMYI2zdXLapqrqZKJ4QUmSpdGl95U7/sFuA3RYy0hUE60SUmOtfc37r0vyYoSa/s3LzOrIGMuL/Y6f6apfe7oJm75cq+XVJiLwAqHlL12Oyeaz/64MoPdPvyV78ebTW3UqUTQopLla5TSP6WInBePELHyiLr+DUMTxk1RQxzZdfLjCtNeQmp6DXeGLFQEgD5M+F88xJTpatJXdSEHHaaPDOTCvP8mk3GFhw5xHUcap49LbVSIM9c6oWn59a4FHrGJUvNhaMGO5GhM12ttNRcmRpXH9xZyImdbsyVfcWVXNuXyD0bACBPSNVjsw9f/+mha/+kW+R9cytVOiGkiFTpVho+1Td3JWi09C0v590/E7o3taydA0/jSWfN7bzQCEOh6bn13HicSmGquSXW9u9IONM3WtKsiq8jza8nTbm+uzWb7ibMzIU5nXe/BPcARJ4J55tbqdIJIUWkSrfkKKOamzLF84yk++UQ9/7sgCNPoZk8T0ku7fiJmXxaLSw9t5HpVEjKJBfO3/exxFrkjrSov+/jTVNupeVzZbY0mhBuufcn8B/bBKAyIFWPzd51Y8Gu6z/XLdq+eemp0u1s1TSjmmtc8vxjv345xFU1t35BxvLNBbd+ZKCRa8r1Rq8qd6Sl8PTcVgHBzLiHN61rgWruSlOu3vW4fHNX/dnUHL9JBiYu5JGqJ/522swJ4puXnirdchkpNSTRlcjaKFPIj8y4cohbnjgxf4PNUGfaSEmcCaWA4Yxbea7z/i2uwtJzq1m5PXFzOxRuTo2VQNyxpsWTRd6bppxZM0vN0IrShCNFuN/85v8r9QBEEfJI1RPixsIt15/XLdq+OciLqKbnBiDSGL65y6DmAABQWZBHqp5ourFs3fWXdPvyV7/+t9NmPlL1xCNVT0DNAQCgUvD3zaHmAABQWZBHqp5YduPVpdfW6AbfHAAAKhH45gAAEAXII1VPxG9sev7qRt3gmwMAQCUC37ycpIVIezamOPduVBApT4KvhpzLyIVISSmlaPBbcZ7WNL/ChfQBADDeIY9UPfHU9e01V9/UDb65P2lOa4v4Yopg1YR4jKWyFWANbrnXmrmQUksJLc2pTyVSa6ZEV/yU8JHhFHP3wXF5yKsPAIBxDnzzLChOcZBqTvMWSo3XElJNaDNn1YQ2cJEWvFmTUuPNTjm21Vkv4MSj5tRbpkTSnAVeJwCgEMgjVU/8+NreJ6/s1g2+uUGa02olalGsmuvaqjvXMs15rhCHsZsSMNFfGzXoFToDOK7oitZM3WLtiu3kp7z+QZvM2PcHAIAwgG/uh4922/6vaHA62ik7+uEOYqSdb7mCJN4AiF3AFdoWvFmTKUabOW/WtJSwk4Q3U6/vzxqowwHP4pvn14d8h5xiEHQAwoI8UvVE9bX3Zl45rBt8c5lixMcNz+dRpAfTC3b65p44STXlaY03cE1qIqW0bEst482UNAgtzXmzJtOcGlFyZumy5Upn8Kn1/mu8lvndJWTuQ6H4zx4AoOzAN/fDJyTiF4/OSYrRWmoFvkkt5w2EVFPeLJRAih5G15VUas3UoYZGTwRvYKxZU0I3zBl8ty42Rj32Gw2672yqeQPXpBQNjCmrVnL0oQBcFyoAwNhBHql64tGrH/z90DHd4JvriAbHopHi8Ljk3C12KWa2oqiw6t5a1xXDzTfU3NTfrPXY3WA8bau5aKaOoeXsQ97D5bX5P+AFAAQMfPOMmF6tlLJYddO1O815SmrNjDcz4nqyakdvHCosmm01p45gt+ANjFa7rjSONS0sj8C9vbQmnz7kQ5rTAtbqAACCB2peNqyVJGlO7QeP+ppFXUmNL/UYzxh94/KW42wUdgV89CWMVsS8oOWParVZ+wAAqASg5gAAEAWyqflD33h4YGAw7B4CAADIjb+a//XffO+v/+Z7Tz4578aNm2H3EAAAQG6I7oar9td/872HvvHwQ994+ODBI2F3DwAAQF6QqX/5TdUe+sbDTz457/Dh9w8ffj96jvl7J87WrdlZs2KbanVrdhzQPg67a4Wh8UbK2zkN8Cfq2xlJCJEgrD2oGgEAYwm5eHFAtYGBweiJuEXdmp237o58+umno/fvjwzfuXXj2tWhgf7+03VrdoTdtYJoZzSpiQTlPUHVqPFGJno4TWBRCwAVCgm7A2NKzYptD0ZH740M37l14/rVwcsD5y6c7T1z+oOaFdty7drOVKdVSEKkssZbUl5SxwSLu6VZJAjx11aNJ4Xs4TxAJ7qd8x4pkpanLxhkHYAKY8Kp+d07t25cGxoa/GTg/Mfn+j7sO9l98vjhHGquJalHWAWT5da7UCW1nZEAwzgAgLIz4dT86tAAcZLu3J1NzbUkpUlb1jRJiSTE9s05lYRIQ/j0d6nUpGTmi1z0cBonqnRqSUrihMR131ww/bVuXoUVkhBJmaREUioJkZRLjRtd1L9XxPTuCkmIJExqXBIqmVk4W8cg6ABUDBNOzfXQSu+JrhPpg8eO7O06sPNw+9aMai4SRJVyKQUzhFv1zTUulW/EGxJakPOu8YQS5Wg0m8jPN9db4lQKKTmXUkrG9FolZXYZwuxdOPUZhg89nMYLS3MOAAiJCafmfSe7T2qHj3d1HD30Tue+7Qd2i3ffeSO7b84VOeNMmt/Qz6DmUjIqNVNX80RR8x7OkmYTeUZahGRCciqZMFsVhm9OFDVX67KG4eq6u+IkfHMAKoWJpebPrE4dfW9funP3kXdTB/e07d/V2rGzZddbmxa88laWvQSz/VPdA1ZfSI8kalzyrCLpxaHmxsIS40WuSIuUUpOMSi4k0z1uYYq40zf3VXN1GO5hY7UiAJXExFLz/cf6nlmdcq03X/DKWx3dvdl3FCxuSJsZN6fU0Ew9bu4IQWuS5hUx19Hj5nFCzGUtRty8kdJ4vnpqhFlMadYD5YRKSiTl5r9mGN2/0xnGCwCoECaWmgMppfGMtMQ1lQCAcQbUHAAAogDUHAAAogDUvLzc/8pXYOPKwj4jACgXUPPyErp4wVwW9hkBQLmAmpeX0MUL5rKwzwgAygXUvLxARMYJOBAg8kDNiyTPVOkTUkQKTpVehnTtbibkgQATC6h5keSZKn0CikjhqdKDT9fuZQIeCDDRgJoXSZ6p0v1EpKyp0nPmPQ82MboXd6p0KaWUmrST3bizULrTtWtJVgZZh5qDyAM1L5I8U6W7RaTcqdK1JM0e38hZIHAEcyQVsLJQSpHpwqXxxsDzCkDNQeSBmhdJnqnSHSJS7lTpIuFIzqXne6FJwRsJiTPhKeBbB3MWsJOtG5lbNN7obsJZwLdWW81tERdZ0zcGnPMLag4iD9S8SPJMlW6LyBilSneGcfR/RULJUe4q4MSKcphRbDO5o5mn1w6DFBSxUdXcyvnFMpfXd3LPWClAzUHkgZoXSZ6p0l2+eflTpXvE2u3kZlVz2/V2JXQ0/7W9+3ghUiv8Iy3Zfggj4Pg+1BxEHqh5keSZKt0lIuVPle7vmyvLRbKpucYbLK2AyAAAIABJREFUqds3b3RIrusRZRGRFnu0GePm5fgRO6g5iDxQ8yLJM1W6V0TKmSpdWtnSmbDj5ppI2M61WsCLpc60kZI4E1KIduvnMpixBKUxl3Y70Z+C2qOyHhdkGJiWpGX4gWmoOYg8UPPyUukiYmu3ZylOZVHpBwKAnEDNy0voaUlgLgv7jACgXEDNy0vo4gVzWdhnBADlAmpeXkIXL5jLwj4jACgXUHMAAIgCUHMAAIgCUHMAAIgCUHMwtqQYqc22mlw0EJbKVoFoyPYVUikFa/B/X2umpJp4TKktxWiz3bWcPQFgXAE1r2TSnGZVxnFEihm6mWJZJVKIDO9qaXOgac6zi6whyhqvdcix1sx42tNeszKBKa4X0JopS+W8bAAwvoCaVxyK71mkmmu8ObtM5SxQFLpWZlLzNKfVhFQz1mA7zoqnrPFac3st5/5lnNIsBXNOjq9v7uiMcd+g8QauWTcBaa2gGcY1AIQF1LyiSHOqRgaKU/M0pxliEfkWKJQU8wtxGNKsmY2yZsdQHK606TU70TTXRtVt91w2fCsUKXOkKSFSnKc4TwnewKjdQ+rqWC4Eq6Z+vQWgvEDNKwcf7bb9dNGgqiTlKU5V0bTU2RZWytOmR1zLRTM1HFVXAT/MtswCaaWtBiFtL9hbg+H2WiOyhTLt7LB7d8U3VwrQBvfFzHTPNV7r9pF1NXdOlDUzGq9lwrh7EMIYpsfLTrtn1T3taau3EHQw1kDNKwT/h4cZn/hlxbWXYA3C6clmrdaSYPOZoenzmkpta7QnYpPmrFkTDWZ4RG00u2+u11abR+Rdr8f5PNOskAv3Zc8RqJEpztN2n0UDE35XhfxwR+0BKDdQ88rB5+mf4IUFAYy93GKdYsSr75mxAtCGFJoeq6XRPoEUvd4Gaj1mJK5LSG41N3ul1O+VbKNyvwCUaDC9b6mEbtQ+GBvV+wDK0xkfzGbDPzQEQBmBmlcSAa2Z8/fNFWXMpuZaM6Vu35w6euXRZQOPv+zQ6xyRFinTnNXyPFbFaLyWcVeX9O3NwjeC71Fzg+KfZ7qvjgCMBVDzCkM0OIPgxa1pqTVVzIybaymmuLpKAS+W7NZSWk1YSoqUHT7Wd7FXj6jLbzwC55DLXL65aOaa/oCxObOapzk1rwGiwXlnYK+oUWL3Ke6ozV/NC/PNHQcIgDEEag5KRVn55+vMarzWKayuyIxzo69vrtyUaLzZ+eyxQdixEde1zbpWWRF8p18vUkxdf6I1M562wywsJZi+aLK5Qhb1g4kN1Bxkw7NGG4upARinQM0BACAKQM0BACAKQM0BACAKQM3BeKadkYQQCcLaw+5JKRQ8iu6l0+a1Bd0LLcl4T9CVgnEE1Dw6cB5+Dbno4bwAXdZ4IxM9nCYKefSqST6+ntTmNYrupdO+pDNtabfsXrrUEPO2edllvXvptGlLu/PrRtLugJClLtMpvQYQNFDziqadsXYppcYlIZKwDKU0SUmOz16OGvJEJLO0ovFGQuKFeNntnPdkr9MNp5IQGcK6myxT7B6FYNlkXddxQ827l06b19bd3W2+ZQq+wrSl3d1tbX5ybpwbjm5IKaVkRJLM54NguU8DVw3ZRwTGDKh5xaIlKXF8iljmD6HG8/KkstSQD4I15mrFJTHlQISh5nlPsZRStjPiM1Ft83R9nmeoef5et09n3OeGxhNqi9k7m89p4KzBf0RgjIGaVyZaktKk6+OjfggFk0RxoDQumb6FSvPrno4C3hpyIlickDghccp7pOzh1PiXGLcLjYTEKW/nNE7sj7pDzQ1vXX9XS1Ji1pDRhRdGpy291r1Ea1R6GVXN1QL6mCk3XHijT0ISIjPpv767EMqdS6Y+OJzVXFeUHk5d8mcHV6TuhhtS3r10XhZNb2vzxmF8zg13gMuhxZqkxHFnxpgxJvcQWYYa/EcExhqoeQUiEsQj5VLVYk0yPQIuJOVSSqlx+wUTSgFnrLwQNbfv3C1cDqDhqjtCJYqa2w/l8g6mM1O19Y4KZisytYahqLlPgTyiTi5coQdrjgQ3rhB6cwX45jo9nMZtzXeHUea1GVumLW2zIineWMu8eUudWu97boiE6+KidlYw41rGqfGCmVc3fb6tAmqs3G+4zhGBMQdqXploSe+jPuZ0nXR/0RJxh6yZ/qXLry3INzc8a0U7XGoutSRlSadSK2ouErYn7ndx8jZoX4J0OPPruqLmPgU8leTEFjOp+LHE8OitdwtVc//nAVbAfGmb01svAM+5Ibh7el2dZcqApDKXur7rdzKuGxKf4Rb0hAOUAah5pSKY2w+yPoSWJ6765nbIRWTUtALU3JIMLUlNgXaruU8nfX1zs56ckRbLN9eE4TQW4ZuXpOaeObKasNvKp85MqxXbdFfbEPJcC1oyVq9Ou9/CRFWLLU/c9s2tkIvLN89Qg5RZRgTGDqh5BSOYFaR2+Iu2B0klJZIJpYCi+OoWdw25aWem8trCobvbiqOteoVmlDxOzAd09pY8hcB1xyE9cXPbjWQ+BexBOuPsOePmjnUywl2JXoZSe0vWuLl11Hww3fHupUvb2uZ9aV5b2zz9saj9kNQXr+gr50bS1RVrTPosWo9YrBF4HwS4tnhqKGipEigXUHNQHrQkJRM1ilpwDF0aMXFzEUv30mm2QhfroUspx2QRERgvQM0BACAKQM0BACAKQM0BACAKQM0BACAKQM0BACAKQM0BACAKQM0BACAKQM0BACAKQM0riralxeZIBQBEHKh5paDnzys64zUAIOJAzSuJ7LmuAQATGah5JQE1BwBkAmpeSUDNAQCZgJpXElBzAEAmoOaVgv0rYiXkRwUARBaoOQAARAGoOQAARAGoOQAARAGoOQAARAGoOQAARAGo+ThASzLeE3YnAACVDdQ8fDSenJg/bQ8ACBCo+djTzli7+i93OuacSsrNfzRJicyk9YIlcBkAAOhAzccWLUmJQ4I1nuCaq4xkXOZHOyON7t0BABMSqPkYoiUpTTq1t4dz208XTBIiCTF9cyEJkYQ53mVCatx4YdRAIegAAKj5mCESxC3lUooEsxx1TVJmvFB9c8bs15xJzVNAyh5O4wwxFwAmNlDzMURLcqfmCq7ouzDd7cxqrnHDN3dUI5LwzQEAUPMxRTDFiXYtTBR2gIVmUHP9X6465iJBHM9UAQATFKj5WCNYXNdf78JEI25OJSWSa2bcnEiiLGsRzIqY21UBAADUPCxc6xQBAKAkoOYAABAFoOYAABAFoOYAABAFoOYAABAFoOYAABAFoOYAABAFoOZF8t6Js3Vrdtas2KZa3ZodB7SPw+5a6LQzkhCFfK1J442UtyPhDAClADUvkro1O2/dHfn0009H798fGb5z68a1q0MD/f2n69bsCLtrIaPxRiZ6OM0/W287o0lNJCh+sgOAEoCaF0nNim0PRkfvjQzfuXXj+tXBywPnLpztPXP6g5oV23Lt6vzekHB/1ZPmmw7XF0dSxqIKlEg75z2O1DHuzJCapI5vuGo8KdRe4ZeYACgKqHmR1KzYdvfOrRvXhoYGPxk4//G5vg/7TnafPH44h5p78ptLKQXL+HsUBaMlafb4Rs4CAaOkEGNUalIKJg2lF5kuXBpvRMYCAAoFal4kNSu2XR0aIE7Snbuzqbkrv7nbSZWcSkJMrdPfpVKTkpkvciAShMQJiRP9Jyy0JCVxQpOCNxISZ8JTwLcO5iygV6KbkV6m0d2Es4Bn1GZLRj5fJbtYljA5sokBUCBQ8yKpWbFND630nug6kT547MjergM7D7dvzajmnvzmlpOq+uYaVyTOzJFbiPPu/pk6xtodWdSz54exohxmFNv8aaQezpKaWqDQiI06MP2qRVjWHTJkhAcAZABqXiQ1K7b1new+qR0+3tVx9NA7nfu2H9gt3n3njey+uZrf3HBVs6i5GZzgBUTSPWLtdnJzZPsyXe+48UzS9L6pqfK2J56/1KpPA9RIS7af2Ch3fB+AqAE1L5JnVqeOvrcv3bn7yLupg3va9u9q7djZsuutTQteeSvLXmp+c07tAEsmNde45DxbQMKDv2+uLBfJpuYab6Ru37zRIbmuR5T5RFrsHL5CCnW0GePm+Hk8AIoAal4k+4/1PbM65VpvvuCVtzq6e7PvaCclN+PmlBpRByMCQRSV0yTNJ2Ju08Np3IiSm3FzTSRs51ot4MVSZ9pISZwJKUS7GUk3drGc9/zi2kqOdiP2bz0uyDAwLUnx09UAFA7UHGTD1m7PUhwAwLgCaj5xUZQaeg1AxQM1BwCAKAA1BwCAKAA1BwCAKAA1BwCAKAA1BwCAKAA1B2NLipHabKvJRQNhqWwViIZsXyGVUrAG//e1ZkqqiceU2lKMNttdy9kTAMYVUPNKJs1pVmUcR6SYoZspllUihcjwrpY2B5rmPLvIGqKs8VqHHGvNjKc97TUrE5jiegGtmbJUzssGAOMLqHnFofieRaq5xpuzy1TOAkWha2UmNU9zWk1INWMNtuOseMoarzW313LuX8YpzVIw5+T4+uaOzhj3DRpv4Jp1E5DWCpphXANAWEDNK4o0p2pkoDg1T3OaIRaRb4FCSTG/EIchzZrZKGt2DMXhSptesxNNc21U3XbPZcO3QpEyR5oSIsV5ivOU4A2M2j2kro7lQrBq6tdbAMoL1Lxy8NFu208XDapKUp7iVBVNS51tYaU8bXrEtVw0U8NRdRXww2zLLJBW2moQ0vaCvTUYbq81Ilso084Ou3dXfHOlAG1wX8xM91zjtW4fWVdz50RZM6PxWiaMuwdhJAnzetlp96y6pz1t9RaCDsYaqHmF4P/wMOMTv6y49hKsQTg92azVWhJsPjM0fV5TqW2N9kRs0pw1a6LBDI+ojWb3zfXaavOIvOv1OJ9nmhVy4b7sOQI1MsV52u6zaGDC76qQH+6oPQDlBmpeOfg8/RO8sCCAsZdbrFOMePU9M1YA2pBC02O1NNonkKLX20Ctx4zEdQnJreZmr5T6vZJtVO4XgBINpvctldCN2gdjo3ofQHk644PZbPiHhgAoI1DzSiKgNXP+vrmijNnUXGum1O2bU0evPLps4PGXHXqdI9IiZZqzWp7HqhiN1zLu6pK+vVn4RvA9am5Q/PNM99URgLEAal5hiAZnELy4NS21poqZcXMtxRRXVyngxZLdWkqrCUtJkbLDx/ou9uoRdfmNR+AccpnLNxfNXNMfMDZnVvM0p+Y1QDQ47wzsFTVK7D7FHbX5q3lhvrnjAAEwhkDNQakoK/98nVmN1zqF1RWZcW709c2VmxKNNzufPTYIOzbiurZZ1yorgu/060WKqetPtGbG03aYhaUE0xdNNlfIon4wsYGag2x41mhjMTUA4xSoOQAARAGoOQAARAGoOQAARAGoORjPtDOSECJBWHvYPQkSjTdS3s5pY75PV9vmTVva7dna3e3dJmV3W5vfZh8Ewy/BRgqoeXTgPPwactHDeQG6rPFGJno4LUh0NMnLrVElNtHOaFITCcp78t2jbakl5m3zvmQqe9u8L/nip/x+3eBKByrh5AE5gJpXNO2MtUspNS4JkYRlKKVJSmR2NzBHDXkiklla0XgjIfFCvOx2znuy1+mGU0mILOu6m5Kb0HhSqFc1Lcn8ZD2TVM9rs3zytnnz2qSU3UvnLe2Wsnvp0jZlq0+7CXUmNZ40M9QEffJkGBEoN1DzikVLUuJwWllmLdZ4jg9kzhryQbCcoQPj8lNORHnVvAxNaLwx00XOUOq2pUu7ZffSaU6vuwA1FyzuvBVwH4hgT54sIwLlA2pemWhJSpOuj5j6cRJMEiKJ6VVpXDJ9C5Xm1z0dBbw15ESwOCFxQnSZ6OHU+JcYtwuNhMQpb+c0Toil8g4RMbx1/V0tSYlZQ0YXXhidtsSUEceo9DKq1KoF9DFTbvjXRp+EJERmEmdGzIlTywhHB5iwPVhr3qnahCap2kPfkfk8G1CCKvr/bUuXTjP8c/39eW1SEfVMai5Y3H318dzxBH/yRO5px/gHal6BiATxSLlUP06aZHoQU0jKpZRS4/YLXXyYGeVUw52FqLkj6mo067yXN1x1h3Aoam7fj+cdTGemnOgdFcxWZGoNQ5FanwJ5BA4cCDOCoEyZ44JhvjY8WL0hIZnI16e1m1IPa/fSaV+a1ya7dfk2gizzlvr45oZrnkHNezj1SLns4SyzKxDgyZPhRAVlAmpemWhJ73M4562u6SOan0OHrJk+rsuvLcg3Nzxr5ePqUnOpJSlLOpVaUXORsD3xvD7zqp5KKaXkzK/ritT6FPBUkgPVDfdrIjA1z3pJMxVbSlWt2+bNa7P/tYXf45tz5/SO0clT2BNvUDpQ80rFe/tsfZwsZ0p1r+y7ZpFR0wpQc0sRtCQ1Bdqt5j6d9PXNzXpyRlos31wTUivWNy9SzTM0Yb022ipOzXu8qxUzPQX90ry2tjYz0jJt2jRPkNwnbu6My/kuTAz65PEZESg3UPMKRjArSG27S0Ia4QTddaLEEBajgPKhVbe4a8hNOzOVV1G2hMvRVr1CM0oeJ+bDW3tLngFWl9MoPXFzPSCujtMbN/fG2bONWbjnxd2EOdeUSkIlZ5JQyagkTDK1TOa4uZakJJfwqb65jf8qdP81LXYr7hBZ8CdPPiMCZQBqDsqDlqTEG7GtNFgB17es9RS/Wkh30v0Uum3etGnTfL33zLV5759AZICaAwBAFICaAwBAFICaAwBAFICaAwBAFICaAwBAFICaAwBAFICaAwBAFICaAwBAFICaVwxmHo5s3w0BAExYoOYVgpXcunupNzUHAABAzSsDRcP9c3YAACY4UPPKQJFwOOcAAB+g5pUBfHMAQHag5hWCFTdvm4fnoAAAL1DzigFrWgAAWYCaAwBAFICaAwBAFICaAwBAFICaAwBAFICaAwBAFICajwO0JHP+jDoAABQK1Dx8NJ6s9J+2BwCEDtR87GlnrF39lzsdc04l5eY/mqREZtJ6wRK4DAAAdKDmY4uWpMQhwRpPcM1VRjIu86OdkUb37gCACQnUfAzRkpQmndrbw7ntpwsmCZGEmL65kIRIwhzvMiE1brwwaqAQdAAA1HzMEAnilnIpRYJZjromKTNeqL45Y/ZrzqTmKSBlD6dxhpgLABMbqPkYoiW5U3MFV/RdmO52ZjXXuOGbO6oRSfjmAACo+ZgimOJEuxYmCjvAQjOouf4vVx1zkSCOZ6oAgAkK1HysESyu6693YaIRN6eSEsk1M25OJFGWtQhmRcztqgAAAGoeFq51igAAUBJQcwAAiAJQcwAAiAJQcwAAiAJQcwAAiAJQcwAAiAJQcwAAiAJQ8yJ578TZujU7a1ZsU61uzY4D2sdhdy102hlJiEK+1qTxRsrbkXAGgFKAmhdJ3Zqdt+6OfPrpp6P3748M37l149rVoYH+/tN1a3aE3bWQ0XgjEz2c5p+tt53RpCYSFD/ZAUAJQM2LpGbFtgejo/dGhu/cunH96uDlgXMXzvaeOf1BzYptuXZ1fm9IuL/qSfNNh+uLIyljUQVKpJ3zHkfqGHdmSE1SxzdcNZ4Uaq/wS0wAFAXUvEhqVmy7e+fWjWtDQ4OfDJz/+Fzfh30nu08eP5xDzT35zaWUgmX8PYqC0ZI0e3wjZ4GAUVKIMSo1KQWThtKLTBcujTciYwEAhQI1L5KaFduuDg0QJ+nO3dnU3JXf3O2kSk4lIabW6e9SqUnJzBc5EAlC4oTEif4TFlqSkjihScEbCYkz4SngWwdzFtAr0c1IL9PobsJZwDNqsyUjn6+SXSxLmBzZxAAoEKh5kdSs2KaHVnpPdJ1IHzx2ZG/XgZ2H27dmVHNPfnPLSVV9c40rEmfmyC3EeXf/TB1j7Y4s6tnzw1hRDjOKbf40Ug9nSU0tUGjERh2YftUiLOsOGTLCAwAyADUvkpoV2/pOdp/UDh/v6jh66J3OfdsP7BbvvvNGdt9czW9uuKpZ1NwMTvACIukesXY7uTmyfZmud9x4Jml639RUedsTz19q1acBaqQl209slDu+D0DUgJoXyTOrU0ff25fu3H3k3dTBPW37d7V27GzZ9damBa+8lWUvNb85p3aAJZOaa1xyni0g4cHfN1eWi2RTc403Urdv3uiQXNcjynwiLXYOXyGFOtqMcXP8PB4ARQA1L5L9x/qeWZ1yrTdf8MpbHd292Xe0k5KbcXNKjaiDEYEgisppkuYTMbfp4TRuRMnNuLkmErZzrRbwYqkzbaQkzoQUot2MpBu7WM57fnFtJUe7Efu3HhdkGJiWpPjpagAKB2oOsmFrt2cpDgBgXAE1n7goSg29BqDigZoDAEAUgJoDAEAUgJoDAEAUgJoDAEAUgJoDAEAUgJqDsSXFSG221eSigbBUtgpEQ7avkEopWIP/+1ozJdXEY0ptKUab7a7l7AkA4wqoeSWT5jSrMo4jUszQzRTLKpFCZHhXS5sDTXOeXWQNUdZ4rUOOtWbG0572mpUJTHG9gNZMWSrnZQOA8QXUvOJQfM8i1VzjzdllKmeBotC1MpOapzmtJqSasQbbcVY8ZY3XmttrOfcv45RmKZhzcnx9c0dnjPsGjTdwzboJSGsFzTCuASAsoOYVRZpTNTJQnJqnOc0Qi8i3QKGkmF+Iw5BmzWyUNTuG4nClTa/Ziaa5Nqpuu+ey4VuhSJkjTQmR+v/bO5/eNo4zDs83moM+Re9G0cvc8gkIHaxDEB81B50ECDaQWAfx1ATFiIVr0mjgkk7i1knAiplUrAHHTBO0MFgjgWE5ceP47WF3ZufP/qNEitrl78F7kMjh7OyQfPbdd0crKftS9pXcEzwbIQ8GVoUS7/C80QKwWmDz5pDj7ixPV3uuJbnsS+5K09o5EyuXE5MR70h1xNNENWiQh9mWaTBxtrWnKMuC4x7StNfuUSbKiT/g8OVObu404Hvhwcyk51ruhDlyYnN/ouzMaLkjVHr2oNKbhMVZ9iSc1XDaJ3a0EDq4bGDzhpB/8bDwil8pwauU2FN+JlvarVWwuWZocl5j6szRUcVmIsWRVnumPOJutDw3T3rbqVF5T/rxr2eaDqUKD3teoYb6Uk6yMas9ofKOCvUIq/YArBrYvDnkXP1TcrEiQPqqUNZ9wWK/F2ML0KkKTcZqHZ1TSEn63eP2MiMLDiHVNjejcvqPlZ12nleAUnsm+yandOOOIX3QPQ/gclJ4YbaM/NIQACsENm8SS1ozl5+bO2Yss7k+4jzMzbk3qsjLKVG+7Pm6otJCNJFiR9ZYFaPljpDBkJLHj1RuBT+yecr5r2eGR0cALgPYvGGoPb8Ifr41LTvGYqZurvvCSXWdBjFWuzucv8NEn1Q/Kx8nL8lWj7jLbyLBebqsys3VkdTJBcajYptPJDfHALXnnxlkK2qc2n1fer3l23yx3Nx7gwC4RGBzcFGclX+5yayWO75Yg8qM/2Bubu6clGh55F973FNZbSQ4ttljla3g+3m96gt3/Yk+EnKSlVlEX4lk0eRRQxb1g80GNgdlRGu0sZgagCsKbA4AAG0ANgcAgDYAmwMAQBuAzcFVZiRYV6kuE6N1j2SZaHnA5Ujyg/VeXVUC/wm2VcDm7UHK9fdQxamUC3hZywOhTiVfSDqa5KoddcFNjATvadXl8rSs1cn+ta1cru2f1GtQNQzpDKAJHx5QAWzeaEZCjIhIS2KMmChopYkzKk8DK3qoieqVbEXLA8Z2F8myR1KelvcZIjkxRktcdyOi3i68CS17yj2q6Z4o1zoRHW9vH5c8fbK/XS1wLbvuTGrZM3eoWfaHp84egRUAmzcW3ePMS1pFsYu1rPhCVvZQByUqSwfp4WeVqGXaPL+35W6CtDyoOMhV2LziaSJSYtc/FQjfiOV+eKr3CKwA2LyZ6B7nveAr5n6dlCDGiJmsSksSySOczJ97eg3iHipRYpexXcYSTZxKnv7K0tOFA8Z2uRxJvsuYtbwnkTRbT57VPc5MD4UpvEoHbWUqmLdXSRtXtW6DZJ+5TPPrdEyKGKNCOSszcW4b5Q1AKD+DjQZJmrg7wtztlF4byNd1bqklp8yixG549InOeJb/4Wnd1Y6rD2zeQFSXRSon9+ukSSRFTEVcEhFpmf2QyEeYKqdb7lzE5l7VNd2sfy6fpuqeOBybZ+fjtYvpwugkGagSmUC53Q1HtTkNahQOPJSpIBRswv5sM1g7iUpWGDzcVPi25hfGY69nrj/Z3w+ePZU8UjmdSlGcCizxw1PwQQUrAjZvJroXX4fzT3XT7Ml+Dz2tmfQxyGsXys3TzNr5ugY2J93joueb2rG56maZeK3vvGORBCnyhu6oNqdB1EkFtjdNPG8Toc01cZZN7gL1mNJDWmkpxamaxzYnIlLSn95L+vAsdsUbXBzYvKnEp8/262STKTe9ys6aVaHTFrC5NYLucSPo0OY5g8zNzU0/lZUWm5trRfq8ufk5bV6Vm9ttnefiw2nFasVSmztPFrTz63K5CxOX/eGp2iOwAmDzBqOELVL76aBNEDlxRkI5DZwvrftI2EM1I2HM65itGyTablZoquS7zFy8zR6pWWANkkaK6uZJQdzdz7huHtfZy+vmrHwTZq45N22il5TXzXWPs1h8hcsP49r48b79NbH5yUm8wCXbSlgiW/6HJ3+PwMqBzcFq0D3O4ortpnLB1UJ5HG+bQvq+Nf/28fH21ta1a8ULFuPzJ9AaYHMAAGgDsDkAALQB2BwAANoAbA4AAG0ANgcAgDYAmwMAQBuAzQEAoA3A5gAA0AZg88Zg/jqw6uanAICNBDZvCCf715K/5z7ZvwafAwAiYPNm4Di81j+aAQBsGrB5M/DueorkHAAQAZs3A+TmAIByYPOGYOvmx9u4DgoAiIHNGwPWtAAASoDNAQCgDcDmAADQBmBzAABoA7A5AAC0AdgcAADaAGx+BdA94f8bdQAAWBTYfP1o2cO/tgcAXBDY/PIZCTFyf5V+Yi45cWl+0cQZFbmGIlUvAAAFWklEQVReiS4OAwCABNj8ctE9zjwFa9mVOmhDQlI9RoIdhC8HAGwksPklonuc93z3nkqZ5elKEGPEmMnNFTFGTHjPCkVapj+kPXAIHQAAm18aqstClROprrCJuiYu0h/c3FyI7GcpSEcNiE4l3xWouQCw2cDml4juSd+5Sjp+VybdLra5lmlu7nWjesjNAQCw+aWihJNEBwsTVVZg4QU2T36VbmKuusy7pgoA2FBg88tGid3Ev/HCxLRuzokzktrUzRkxZ1mLErZinnUFAACw+boI1ikCAMCFgM0BAKANwOYAANAGYHMAAGgDsDkAALQB2BwAANoAbA4AAG0ANj8vuCk5AOAqAZufE9yUHABwpYDNa4KbkgMArjSweQ1wU3IAwJUHNq8CNyUHADQB2LwU3JQcANAQYPMqcFNyAEATgM2rwU3JAQBXH9i8FrgpOQDgigObLwRuSg4AuKLA5gAA0AZgcwAAaAOwecibX+ngEf2mS1u3EAgEojEBm4ccPFr/u4JAIBCLBmwe8ruP1v+uIBAIxKIBm4es/S1BIBCIc8Rm2fyL6Xc3bt+7fvOOGzduDx7qmW2z9rdkRTElOhwTzdc/kiVGZ0bzGQ3PaDhY/2AQiPXGZtn8xu17L396/fbt2ze//PL651cvX/z4w/Nn3377zY3bA9tm7W9JEsPZMnvrzGg6puEZHa57v5Yb0zPqjGm+1LlCIBoam2Xz6zfv/Prmzf9e//zq5QvG2H+fff+f757865t/XL95x7Ypmqmpm9WOiSgz4+F8mULpJOcJS02ihzPaGp8/gR2epeNJxjYdF2/FmZ/kJVMiOqNO0UT5M5lsq+ZkdmZ06G50QFNoHbHBsXE2/+nVyxc/Pn8+/zdj7Pun/3z6+OTx148qbD6gOYVZ7eF8tXnu9EqVRAY0p/RgUHjSMKC5M2Y7P8lpQUnn4UxeQMqdWdtKSQhE/dg4m//w/BnzmXx+v8zmA5qb1DL91bRMHDQ8IzKmS589o46fk5ZHxxTt3dx56pvRaxCNwTaYz7xniQrsZtvMw03YHqbJI8kuDGg4TodkbT51exhnG0wGGdvcm6jKvYg2cTgnmqePlB0eWndtAIGoGRtn86S08mQ6Zox99eVw/PDeo9EfC20+Do18OA9ttXWLOjNHUuPUNXWTd5vS+jlpZnP7uCkQJxUGt5NFi+x2bLaSHvSQXF3MdmdAw7Epvs/8vXMKOLlHIHLk605UOJPRPMSbmFLasiJ5j941BGITYuNs/vTxyWP96OvxA8bY55/86eF99emfPyrPzYdOJjicZyXgfJsnl+bqG3acn2m6ZrTJe5C0upYkWkxhU7O/h3k9ZHuUqNNMwvQsNWmSaJM/jGlVpcWdqHAm7TwMCjcxzTvsxbHcC8gIRFNis2z+3gf9v3/xyeTz+19+2v/rX44/+/gPD+79/uO7H777/l3bJp6jw3nmoyyZPSu0eWdGw1ntS45OufnQ0bo1o5smJz8czjIPDgfO8SbpqkalZUr+XgQ9OHuUutg2GGd1j/jMYzGbBzM5jnYz2kQdm2O1ImJjY7Ns/tlXT9/7oB+sN3/3/bsPTp7YNrnTlBRtt25lrpybZR42hZw7iyvmi6TJtiiRWK+TrX03JYjklzOaE03HTgOzFZtol19vjLc4P3Oq/LljSM4zzsxg4ro5eYJOe8hb0xJOVDSTh6ZSb6+4uptInk3WWRLlKdu5VItAbGBsls3rsPa3ZP3hXMtd/2AQCES9gM1D1v6WIBAIxDkCNg/57Yfrf1cQCARi0YDNQ/b/tv53BYFAIBYN2DwE/60CgUA0MWBzAABoA7A5AAC0gf8D8uMHPGajRfAAAAAASUVORK5CYII=" alt="" />
当然:上面是循环渲染模板,那么也可以只渲染一次,传一个数组给模板文件,
在模板文件中循环添加数据。用each关键字,这里的data是json的一个对象 json = {data:[],msg:[]}
遍历data就用each data,遍历msg则是each msg 前提它们是数组,通过$value.熟悉名称取值
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" 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既然模板文件需要一个数组,那么就得传一个数组过来,这里传json
aaarticlea/png;base64,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" alt="" />
同样看看效果:
aaarticlea/png;base64,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" alt="" />
还有就是:虽然传过来的是一个集合。你也可以根据索引来取值,比如:
aaarticlea/png;base64,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" alt="" />
运行结果就不贴图了
一个简简单单的例子,数据都是模拟数据,仅供参考,测试源代码如下
<%@ Page Language="C#" AutoEventWireup="true" CodeBehind="default.aspx.cs" Inherits="Do._default" %> <!DOCTYPE html>
<%--https://github.com/yanhaijing/template.js--%>
<html xmlns="http://www.w3.org/1999/xhtml">
<head runat="server">
<script src="jquery-1.10.2.js"></script>
<script src="template.js"></script>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title></title>
<script type="text/javascript">
$(function () { //--------------
var json = {
name: '张三',
age: ,
address: '深圳'
};
//$("#warp").append(template("info-tpl", json)); //--------------
json = {
data: [
{
name: '张三',
age: ,
address: '深圳'
},
{
name: '李四',
age: ,
address: '深圳'
},
{
name: '王五',
age: ,
address: '深圳'
}
],
msg: [
{
name: '张三11',
age: ,
address: '深圳'
}
]
}; //循环渲染模板
//$.each(json.data, function (i, v) {
// $("#warp").append(template("info-tpl1", v));
//}); //--------------
//$("#warp").append(template("info-tpl2", json)); $("#warp").append(template("info-tpl3", json)); })
</script>
</head>
<body>
<form id="form1" runat="server">
<!--展示部分显示-->
<div id="warp">
</div>
</form>
</body>
</html>
<!--简单模板文件-->
<script id="info-tpl" type="text/html">
<div>{{name}}</div>
<div>{{age}}</div>
</script> <!--条件判断:模板文件-->
<script id="info-tpl1" type="text/html">
<div txt_age="{{age}}"><!--txt_age为自定义属性-->
{{if name=="张三"}}
<label style="color: red;">{{name}}</label>
{{else if name=="李四"}}
<label style="color: plum;">{{name}}</label>
{{else}}
<label style="color: blue;">{{name}}</label>
{{/if}} {{name=="张三"?:}}
</div>
</script> <!--索引取值:模板文件-->
<script id="info-tpl2" type="text/html">
<div>
{{data[].name}}
</div>
<div>
{{data[].name}}
</div>
</script> <script id="info-tpl3" type="text/html">
<div>
<select class="form-control" style="width: 100px;">
{{each data}}
<option id="{{$value.age}}">{{$value.name}}</option>
{{/each}}
</select>
</div>
</script>