本人菜鸟一名,如有错误,还请见谅。

1、前言

  最近公司的一个项目需求是在前端显示Latex转化的数学公式,经过不断的百度和测试已基本实现。现在此做一个记录。

2、MathJax介绍

  MathJax是一款运行在浏览器中的开源的数学符号渲染引擎,使用MathJax可以方便的在浏览器中显示数学公式,不需要使用图片。目前,MathJax可以解析Latex、MathML和ASCIIMathML的标记语言。(Wiki)

3、步骤

  3.1、引入MathJax

    我们通过在index.html中加入下面语句即可引入MathJax,该语句导入的是国内的CDN。

<script type="text/javascript" async src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-MML-AM_CHTML"></script>

  3.2、创建方法配置MathJax

    引入MathJax之后就需要我们配置MathJax了,这是为了让MathJax可以通过配置的标识来识别要被转化的数学公式。这一步我是参考了这位大佬的写法《MathJax: 让前端支持数学公式》的写法,具体如下。

    (1)创建globalVariable.js文件,并在里面写下配置方法方法。

let isMathjaxConfig = false;//用于标识是否配置
const initMathjaxConfig = () => {
if (!window.MathJax) {
return;
}
window.MathJax.Hub.Config({
showProcessingMessages: false, //关闭js加载过程信息
messageStyle: "none", //不显示信息
jax: ["input/TeX", "output/HTML-CSS"],
tex2jax: {
inlineMath: [["$", "$"], ["\\(", "\\)"]], //行内公式选择符
displayMath: [["$$", "$$"], ["\\[", "\\]"]], //段内公式选择符
skipTags: ["script", "noscript", "style", "textarea", "pre", "code", "a"] //避开某些标签
},
"HTML-CSS": {
availableFonts: ["STIX", "TeX"], //可选字体
showMathMenu: false //关闭右击菜单显示
}
});
isMathjaxConfig = true; //配置完成,改为true
}; export default {
isMathjaxConfig,
initMathjaxConfig,
}

  这一步其实也可以使用直接配置的方法,这里就不记录了,具体可以看《前端整合MathjaxJS的配置笔记》这块。

  (2)在main.js中将globalVariable.js引入,这样就可以在项目内任何地方都可以使用了。

import globalVariable from './components/globalVariable/globalVariable'
Vue.prototype.commonsVariable = globalVariable;

  3.3、创建方法渲染公式

  到了关键的一步了,这里的原理就是通过传入组件对象或者标签id再用MathJax的window.MathJax.Hub.Queue来渲染组件来转换公式。具体步骤如下。

  (1)创建在globalVariable.js中创建渲染方法。

const MathQueue = function (elementId) {
if (!window.MathJax) {
return;
}
window.MathJax.Hub.Queue(["Typeset", window.MathJax.Hub, document.getElementById(elementId)]);
};
export default {
Header,
isMathjaxConfig,
initMathjaxConfig,
MathQueue,
}

  这一步不一定用传入id的方式,也可以传入标签name用getElementByName来获取组件对象。

  (2)再需要渲染的页面中调用方法即可。当vue数据改变的时候,我们使用$nextTick等待组件数据渲染完成后,再将组件id传入方法中,让mathjax来渲染公式。

<template>
<div>
<div id="question-id">
<div class="swappy-radios" >
<div name="titleDiv">
<h3> 题目:{{this.questionToOptions.Question.body}}</h3> //这里的questionToOptions.Question.body传入的就是Latex公式
</div>
</div>
</div>
</div>
</template> <script>
export default {
props: {
value: {}
},
data() {
return {
rawHtml:'',
heightString: 'height: 500px;',
questionToOptions: this.value,
answer: '',
imgIndex: 0,
};
},
methods: { },
watch: {
//监听prop传的value,如果父级有变化了,将子组件的myValue也跟着变,达到父变子变的效果
//这里看需求,若不使用监听,直接放在axios请求方法中也是可以的
value(value) {
// titleDiv
this.questionToOptions = value;
this.answer = '';
this.$nextTick(function () { //这里要注意,使用$nextTick等组件数据渲染完之后再调用MathJax渲染方法,要不然会获取不到数据
if(this.commonsVariable.isMathjaxConfig){//判断是否初始配置,若无则配置。
this.commonsVariable.initMathjaxConfig();
}
this.commonsVariable.MathQueue("question-id");//传入组件id,让组件被MathJax渲染
})
},
answer(newVal) {
this.$emit('trouble', newVal)
}
},
mounted() {
} }
</script>

  效果图:

  

  3.4、出现错误和解决方法

  本来到这里就应该结束了,但是在value数据连续改变的情况情况下MathJax渲染过得数据会不断堆积,造成错误。情况如下:

  第一次改变:

  

  第二次改变:

  

  对于这个错误我没有找到一个好的解释,若有知道的大佬还请指出,多谢了。

  我自己最后猜测是MathJax对于同一个组件渲染不是以刷新的方式,而是在上一次渲染的基础上添加数据进行渲染。所以我想到了,在下次渲染之前先将上一个组件内部带有数学公式清空,然后再进行渲染。具体方式如下:

<template>
<div>
<div id="question-id">
<div class="swappy-radios" >
<div name="titleDiv">
<div v-html="rawHtml"></div>//这里改为用v-html,通过html字符串来每次生成html代码,从而达到刷新组件的效果。
</div>
</div>
</div>
</div>
</template> <script>
export default {
props: {
value: {}
},
data() {
return {
rawHtml:'',
heightString: 'height: 500px;',
questionToOptions: this.value,
answer: '',
imgIndex: 0,
};
},
methods: { },
watch: {
value(value) {
// titleDiv
this.questionToOptions = value;
this.rawHtml = '<h3>题目:'+this.questionToOptions.Question.body +'</h3>';//将公式转化为html字符串存入。
this.answer = '';
this.$nextTick(function () {
if(this.commonsVariable.isMathjaxConfig){
this.commonsVariable.initMathjaxConfig();
}
this.commonsVariable.MathQueue("question-id");
})
},
answer(newVal) {
this.$emit('trouble', newVal)
}
},
mounted() {
} }
</script>

  这样就可以避免数据堆积的错误了。

  效果图如下

  第一次改变:

  

  第二次改变:

  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eq/r75Ib5tftW+VW9Tf3lSvTpnF9dGgAABAgQIECBAgAABAgQIEDhpgevqeRPZ1IFO97WLdJpf1b9r32y+RsQTX2PLSHbia/P72OI24dCLFy9OGsngCBAgQIAAAQIECBAgQIAAAQLnKPDy5cvqWOGQaWXn+IS4JgIECBAgQIAAAQIECBAgQIDAQgHh0EIomxEgQIAAAQIECBAgQIAAAQIEzlFAOHSOd9U1ESBAgAABAgQIECBAgAABAgQWCgiHFkLZjAABAgQIECBAgAABAgQIECBwjgLCoXO8q66JAAECBAgQIECAAAECBAgQILBQQDi0EMpmBAgQIECAAAECBAgQIECAAIFzFBAOneNddU0ECBAgQIAAAQIECBAgQIAAgYUCwqGFUDYjQIAAAQIECBAgQIAAAQIECJyjgHDoHO+qayJAgAABAgQIECBAgAABAgQILBQQDi2EshkBAgQIECBAgAABAgQIECBA4BwFhEPneFddEwECBAgQIECAAAECBAgQIEBgoYBwaCGUzQgQIECAAAECBAgQIECAAAEC5yggHDrHu+qaCBAgQIAAAQIECBAgQIAAAQILBYRDC6FsRoAAAQIECBAgQIAAAQIECBA4RwHh0DneVddEgAABAgQIECBAgAABAgQIEFgoIBxaCGUzAgQIECBAgAABAgQIECBAgMA5CgiHzvGuuiYCBAgQIECAAAECBAgQIECAwEIB4dBCKJsRIECAAAECBAgQIECAAAECBM5RQDh0jnfVNREgQIAAAQIECBAgQIAAAQIEFgoIhxZC2YwAAQIECBAgQIAAAQIECBAgcI4CwqFzvKuuiQABAgQIECBAgAABAgQIECCwUEA4tBDKZgQIECBAgAABAgQIECBAgACBcxQQDp3jXXVNBAgQIECAAAECBAgQIECAAIGFAsKhhVA2I0CAAAECBAgQIECAAAECBAico4Bw6BzvqmsiQIAAAQIECBAgQIAAAQIECCwUEA4thLIZAQIECBAgQIAAAQIECBAgQOAcBYRDp3hX/+j/nuKojIkAAQIECBAgQIAAAQIECBA4QwHh0Cne1K/8qlMclTERIECAAAECBAgQIECAAAECZyggHDrDm+qSCBAgQIAAAQIECBAgQIAAAQJLBYRDS6VsR4AAAQIECBAgQIAAAQIECBA4QwHh0BneVJdEgAABAgQIECBAgAABAgQIEFgqIBxaKmU7AgQIECBAgAABAgQIECBAgMAZCgiHzvCmuiQCBAgQIECAAAECBAgQIECAwFIB4dBSKdsdReCHf/jT1bd/+w80//zUT/2boxzTQQgQIECAAAECBAgQIECAAIHDBYRDh9vZc0+BCIO+8zv/avVrv/Zz1U/+5D+ofv7nP1v98i//5z2PYnMCBAgQIECAAAECBAgQIEDgmALCoWNqOtZWgV/5lf9SfeYzv9hs893f/deqr/3ar6w+97lfpUaAAAECBAgQIECAAAECBAg8oIBw6AHxL+3U3/ANX1PFP/mK73/3d//PpTG4XgIECBAgQIAAAQIECBAgcFICwqGTuh3nPZif+Zkfq+KffEUwVIZF5331ro4AAQIECBAgQIAAAQIECJymgHDoNO9LP6ps3jzVm2fuvejtk+9FA+hTfMX1/MEf/NEgLDrFcT70mMIp7uX3fM8/OWgo5bPwm7/5vwbHyGPfxzMS44/rGI8hfs5ndckFzm2f1xLH8iJAgAABAgQIECBAgACB/QRW7773+uZmVVU3b6tqtbqpbm7iAPGvVf1980N82/yqfavepv7ypHpVvXjxYr+z3eHWcx8KP/nJb2umLkUQMfeK5sjRAydeh3y4jAbLd/XK8ZRjzHNtey+vJa6/rNa5q3Hue9wY+y/8wj+rvuVb/ty+u97p9hGUfP7zv940zb6L167na3zeCD1+/Mf/ddOf6Zd+6V/sPaS8nqn9I7CJv4up9yKE+b7v+6ez54vnKpzmXt///d9V/eiP/r3m7V3HmjtGnCMamMf13+YVz9nP/uy/2zrebccv//YibItG6vu89nnOS6vScJ/zlceY+u/GPseyLQECBAgQIECAAAECpyvw8uXL6rp63kQ2daDTfa2/zygnfte+2XyNiCe+xpaR7MTX5vf1FiqHTvA+ZyVFGSTEB+Ty93Pv3UcVyG3JIpTID8zjSpLbHvuQ/cuqk22BxyHHPmSfuIdxf4+xklv2dPqO7/jLg6GEewam4/cOGfO2fT772c83b0cIFYGH17xABnIR6mS4tq9XBK7x9xWv+O/GKfyN7XsNtidAgAABAgQIECBA4H4Fzi4cisqLXCo9KaPiIn6XH5ji97ldfM2qoZI+PpyV24y/j/e99heI4OPTn/6RvmIog4P9j7R7j6jyWDIdK+5/3t8IMO7jNX6ejn3OnMaVAVBUu2S4GGFB6V6+F9uEWwQMUbkTrwh0xn8/n/rU9268H9uk3zd909f3lxSr1MUrQqgIPMprn/ubjG2i4q28N9v+hsu/x7FtWZ2W17Ltb3vJsxDXue0Y5XUtvbcZ7Ib71H+Tlh4ntotrziDux37sp/fZ1bYECBAgQIAAAQIECFygwNmFQ/kBuJyKkn1Xymkyud2S8OAYz0VWgyyp7Ck/dOa5p8KqqfdOcQpZjjOsozIn7sM+fWb29U/r2O+QqVj7nu/Q7e/SYNeY9pkaleHRtmlmeb7x9M3sLRXvf9d3fbKpYikr4Kb+Jqdccr/f+q3f70OZ8hrLEGnXtZfvH1qlFdc5ruSbu64l44nry6q1CN6O8crKoxjrMarQjjEmxyBAgAABAgQIECBA4DQFzi4cmqocOoR+ahpX+eFv3z4o+cFv32lLeT3x4XfcZLp8b59rHH9An5t2ktUnWU1SNjfe53y5bVZwleHXoVNnps6fH/SjT02c45jHPuR673Kf8l6UFUHjc05V/UT/nXyV92Lfqqlv/Mavaw7zO7/zxeZr+Rxl5cvnPverswxTlTdzFTcZIsXfXdzn8tmcC2nmnuty+/x7HP+97wpxj105VE69O2Yfrqz+2nYf7vI5dWwCBAgQIECAAAECBB6HwNmFQ1OVQ3krxlNK7vMW5Ye0/Lrt3HMfdnOf+EA7t82uSqj40BvTTMoP5vHBO8KG8hXHj2Xmc7uYGhQhQH54P6U+JhkUZCh02yk59/lcHHKuuabIcR+X3JcMdZb2/5kKmGLcOXUs+xpFVU+8MmQqq2EOuc5yn3gOYxxx7NtWx5XPfv49jivzdp3j2JVD5dS721qV+8ffRLz2DaWPOQbHIkCAAAECBAgQIEDg9AXOLhzaRZ7VJbs+RB+751B82Mw+KrvGeFfvx9SS+JAYPX/KV1xrTB1KkwyK8oNlbBv9YvIDZlzHMasbDr3eDIXieuZ6Rx167FPeL6eERVA37sOTAc228cf0rtivvOeHXO83f3PbVyinkmV1SoSK8do1lqmAc2rqWmwX9zoqwcbTBCPcmethNHdNZdXVXOXQrv8+HOK1bZ80LHs1HeMceY/iWPd9TccYv2MQIECAAAECBAgQIHA/AmcTDs01h91VAXA/zPudZaqyIY6wK7CK/bb12PnMZ36xGcg42MkPkOV0o7kR7/rAP7Xftt4sUyuz7dIah0KnEFTtGvMx38/nI647/Lb1AprrF5Sr3S2553PHKN0zeIzrzFAxnqttU9WWTCuL40YAlJU6x+idUzbFnqscmnumxg21lzS23vV8lqFNGeYc45nZde5jnMMxCBAgQIAAAQIECBB4/AJnEQ5lNdCu6Vhxu3IKzK4PTcfuOXTIoxLXlZUNx1jBaNwseDymtMlePWWfkpj2Eh/0D5myteQDdGyz5FU2OF6y/TluUz7vh15fTimL5+s2gUuGK2UPrnxG4m/sh37ob80OcUnlUBwrAt4Yb4Sj+zx/U3/jMTVySc+h8fTMMFoaci7579Ch981+BAgQIECAAAECBAgQuAuBswiHcspWBAy5pHXZMDb/v/0xnSYCkqxm2FVpcxfgS4+ZK3vl9tv6DC1d9WpXw+GcDhTnzA/9eex47xRW/ipXpYreSTG+xzhd5tAxlxU6c72AymdsbpuyWXdWlOV+46lN285TTj2M/cd9jLaFOUsqh3JMMd4Y51Sj6LLBelZRzT3r0W9pW8+h/O9H+bew9G/20O3KEOuQyrxt5z30OTv0WuxHgAABAgQIECBAgMDjFDiLcCjoc6pR3oachpIfJuNDUn5wHL83det2TeHKD5FLb/s+S9lH4LGrymfpecvtom9QvMYfGPMDaX7Qz/fL0O0Up+fl6mcZEt2mAuYQz9xnn3ub++TqVPue97d/u236HK8MeA49VgY5t1nqfBz+RAC79LWkciiPFc9kjHOq0inClXEYFM96Tp3bZzxZATUOvcpQMoLTMnwuV1jLPlBTwde2ceT4y/u7dNzbtivDpl3Vksc4n2MQIECAAAECBAgQIPA4Bc4mHMowJT/c5Ye3+JBX9mWJD3YZ7GQ1znilrru4lYcuZR9j2bZs9j4hVYQJcawIU8pXmI2nrd3H6kbxgf8YgU6GRDENLu71MY65zzOQVuNAYeoYGRpkU+nYJsacYeSu85bhS4Yr5bF27V++n+HSkmbe8TdS9jaa63O0T1C1T+VQedypaqR8BvKYeZ37BETleOYqnnIFtvjvzdR/N8JlHHrtWkEwxprBba5ats993LZthk27qgaPdT7HIUCAAAECBAgQIEDgcQqcRTi0dOpEfACPCpisAsjKiX2qHQ69zfssZZ9h0NKlxsdjytWY4vcZgKVRfIjOqor8EBvVDmVlUFQYxHinKjumPuhm1VaEMtuCtnL6Txw7Qqp9esjsss9KpwyJloZ+ZT+ZDBnz2ncdo3z2ll5LOTWq7NmTv8/rmDpe3JtxIBj3L49T9ona5RXvl72eymq1cvpahE9TAVRc+/h5uO0KaHNjztAkrzO3yz5Z4/3mth9vt816aixLGngvcR9vk/8Ninuw9L9nS86T921b76clx7ENAQIECBAgQIAAAQLnLbB6973XNzerqrp5W1Wr1U11cxMXHP9a1d83P8S3za/at+pt6i9PqlfVixcvTkInPshm9Uv0FNm3kiJCmKyi2KfSIC9+aTPlfbEimNjnWo41jjKkGI85woDox5JhUnhFOBGhxbb94jjxoTcqQMp+N/ua7LN9+EVIcJe9kvIeRWixZOpd+GUIk89dPr9xbREMluPN449/v8uhPM9427xf5e/LaZcRPsWqWWV1UJz/05/+kf53cYwISrJqKn4uty/PkX9Tcb37PM8xvpyylcdOs6V/G7l92dx9l934/WyEXd6n3Cbu+6c+9b0Dl0Onb+UYlz5Lu66jHO+x/tuw65zeJ0CAAAECBAgQIEDg/gRevnxZXVfPm8imDnS6r/X3GeXE79o3m68R8cTX2DKSnfja/L7e4iwqh7JaIqb1ZPPpcYXBttszbsB7f7fyNM8UH/jnpkhF1VFWa8SH2XDOD8Px+yVTq+7rquNZuMtgKK4jVr+K15LrDq8MhsItQ7KoEIoAIgOgspIpw5S7aJCcFV/ltMu4lhhP3NNymtXYMUK+DIZi7Ll93tvx1MXb3vOcFpUVNmG362+8DH1ve/4Iz8opqxlahcF4ut2hq5VluBjHPEb1UI53n6mnt3WyPwECBAgQIECAAAECj1PgLCqHgj4+eC+p3Nh1m7LKYdey2ffx/5VfUjVyF+PI844rTPJcaZO9cnL6U1YRhfFU9UR84B1XmxxaZbHrPp7q+zlNbVf11LiCbaraZ9s1ZuVQBiRlZVAea6r6Ztt5xseIgCiC1fH0txj7XVSq3OZvPKty9gmM0jCf97z+8tqWVjAtrQYq/573vefl8zC+/6f692BcBAgQIECAAAECBAgcLnDMyqGzCYcO57TnnMB4atL4A268H1ONIuDJ3jPx89zUsfhwHRUlWYUyDpfcCQIECBAgQIAAAQIECBAgQGCZgHBomZOt7lhgXEkS02v26Y2zq0fRHQ/f4QkQIECAAAECBAgQIECAwKMVEA492lt32QMfh0Hxc/Qpuuu+QJet7uoJECBAgAABAgQIECBA4BwFjhkOnUVD6nO8yed4TREElUuPx/fR4NqLAAECBAgQIECAAAECBAgQeDgB4dDD2V/cmaNCKFbdytWc4vtdjZkvDskFEyBAgAABAgQIECBAgACBexbQkPqewZ2OAAECBAgQIECAAAECBAgQIHBbAdPKbitofwIECBAgQIAAAQIECBAgQIAAgUbAtDIPAgECBAgQIECAAAECBAgQIEDgggWEQxd88106AQIECBAgQIAAAQIECBAgQEA45BkgQIAAAQIECBAgQIAAAQIECFywgHDogm++SydAgAABAgQIECBAgAABAgQICIc8AwQIECBAgAABAgQIECBAgACBCxYQDl3wzXfpBAgQIECAAAECBAgQIECAAAHhkGeAAAECBAgQIECAAAECBAgQIHDBAsKhC775Lp0AAQIECBAgQIAAAQIECBAgsHr3vdc3N6uqunlbVavVTXVzEyjxr1X9ffNDfNv8qn2r3qb+8qR6Vb148eJeBfvx7Djr0u3udfDdyVarwNz9Wrrd7iPZggABAgQIECBAgAABAgQIEDg3gZcvX1bX1fMmsqkDne5rm9+0v6p/177ZfI2IJ77GlpHsxNfm97HFqYdDGfTE16nvp27uYw2H2hvXhkfj78/tIXY9BAgQIECAAAECBAgQIECAwOECFxMOZSD09u3b6h/9/ofVv/+TN9VHXQJ2ON/p7/lOnQ/97S97Wv3Lr/9YdXV1NQiKTn/0RkiAAAECBAgQIECAAAECBAjctcBFhEMRDEUo9HsfXVef/M33qw9j2lt0SLqAcChqwWKa38fq6/38t3y8+rPvPOlDort+uByfAAECBAgQIECAAAECBAgQOH2BY4ZDJ9mQOoOh6+u3TTAU1ULNbKtLCIbi+euu98P6a1x/OERQdsrT5U7/z8YICRAgQIAAAQIECBAgQIAAgSmBkwuH1lPJbqof/L0Pm4qhS31FHhbX/4+/+FEdDrU9lwREl/o0uG4CBAgQIECAAAECBAgQIHA3AicVDpXB0PX1dfUfX163U8ku+BXX/x/qXkvhISC64AfBpRMgQIAAAQIECBAgQIAAgTsSOMnoJadQNc2nL2Uq2dwNrq8/HHKq3R09Bw5LgAABAgQIECBAgAABAgQIXKjAyYRDWTVUz5xqgpColPFaC4RHa9T6mF7m6SBAgAABAgQIECBAgAABAgSOIXAy4VBeTBkSHeMCz+UYQqFzuZOugwABAgQIECBAgAABAgQInJbAiYVD0YJ5/8qYX/nWF9X/+LY/3ez7E1/3JdUf/6Uvm/xnjj6333Zrfu4Tf6o5Zhw/X3mu8nfbzpFjPOQRGFYLtU5eBAgQIECAAAECBAgQIECAAIHbCqzefe/1zU2dNdzUq2KtVu20pbbRz2o9dalbRr59q96m/vKkelW9ePHitufv92976sQ/b6s3b95Ur169rv787yybWhbh0Nc+v6r+wq//vya8+ZGvfqf6h7/7fvVv//hVc/wIdr77y55VX/5f/6R/f+nAY594RTBUvn75T15Xf+VLn1Zf/XQY1MR5v/VLnjRjWPL66T/8qPqJL36wc9P/+Y1PqufPn1VPnz6trq6u6n9W9f0SEu2EswEBAgQIECBAgAABAgQIEDhDgZcvX1bX1fM6valfdT7Qfq3/6Xo3R2bQxgbt18h74mtsGclOfG1+X29xEpVD4/45+/TTiWqcv/jxJ01IU1bm/Ktv+HhfPRTBUL4iiInAJ/6JYOa/vX89+Dm2y/czGIrwKV4RCP3hm5vm/XjFOSMMyvfi9xlIxe/ivdx2fNzcb5/n8zZO+5zHtgQIECBAgAABAgQIECBAgMDlCJxEOBTcGXy01TDLK2KiWigCnght4vt8ZTAT4UyEOuNXVhhFsPR3v/x58/ZvfNAeJ6qE8nfxNbaJ433ho7dNIBRhURk4xfHLnz/xTsuaAVWeu5zuFu/F66+/eLrH07auFtonQNvjBDYlQIAAAQIECBAgQIAAAQIELkzgJKaVlU2oY1rZ69cxrexV9Ykv1HPdFrymppVN7ZZVPBkMjQOl3CeOl4FQWQkU78cUtZhOFkFUbldWB5Xnzels5dSx3GfpdLI83hc+cVVPK3tePXvWTitrSsGaErHlQdoCSpsQIECAAAECBAgQIECAAAECj0DgmNPKTjIcin5Dr1+/3iscijAnKoi+4zdebr2FUQkUVTtR7fMDX3ivmYqWFUfx3t//qneaY+QUtXwvA6W5g+fxyvdjn5jGFscqexMtGef4PBEOPXv2rOk7JBx6BH+lhkiAAAECBAgQIECAAAECBO5Q4O7Doa5LUT916Y4bUo8rh/YJhzJ4ySqgcePo8j6MK4WysqcMirKPUFYMZZi0K9DJY001wo4xlPvHGHcdTzh0h39BDk2AAAECBAgQIECAAAECBB65wKJwKK6xa0x9+4bUXafrU3TLnkM5tpiuFa8IaSIMKhtOlz2JYpuoHIptol9QTPcaB0OxTYRE5YplZd+g8vuvq1dLKxtSx3tx3LIpdVYjxXb/6eWbjRXQTtHXmAgQIECAAAECBAgQIECAAIFHIrAwvxm3qCkaUk8fYbjDwrM8oFk2g84hxHSzDHFimtf49ZP/u11GPrbLMGjb8MuVzPL78fZRRZSvbEqdK6rlWHKp+3LbB2RzagIECBAgQIAAAQIECBAgQODRCqzzmvnexPOZznC1stPPfrbeppgClquGRSgTlUBl5VD0/ylfEczkqmFZcRThTS5dP3Wyqcqh8XZRkRTBUR4z3s8V1XLbeC+2iW29CBAgQIAAAQIECBAgQIAAAQJ3JrAj7zmZpewPBcjVv/7g1dvqW7+krf4pl68vK4di26geyoAnp4LF9hEcxdeYBlbuMx7XksqhOE+c4+98xfPmmOVqZvlzLGG/K4g61MR+BAgQIECAAAECBAgQIECAAIGlAquX7726ieZEN2/rL/VeN/X/4v+a39XdiqIcKRtT53vx9pPqVfXixYul59m63W0aUh9lAI/gIFYrewQ3yRAJECBAgAABAgQIECBAgMA9CQwbUtcxTpPqRJyzznOa39T/ivci08kpZ83XOtzpvlSTlUOz1UaPfNrZPd0fpyFAgAABAgQIECBAgAABAgQI3J/ATF6zNMbZOq1svonR/V2fMxEgQIAAAQIECBAgQIAAAQIECCwX2DfPacOhppSoLT9av7bkS/V0My8CBAgQIECAAAECBAgQIECAAIEHFNiazwyzm5xKNpX8LGhIff9B0NVVO6x3rpqJcRf/ahzqV7pcPAgAAgQIECBAgAABAgQIECBAYEZg/xxnNhyaK0Fqe1XfXWKTx44g5G98PBplX/bdjhDwb37pqg+G7tL+sqVdPQECBAgQIECAAAECBAgQeFwCTfPpmSHvkx8sqBwanmWfg+9DmsdtV0hrA6if/Yq31cee3F0Qtc/4HmrbuP5//mfeNh5NF/GuZOyu7sNDXafzEiBAgAABAgQIECBAgAABAvsLHCMfmAyHpg7cLGN/R6/x+aJqKP558uSq+uxXXzfTy5pM5FJyoiYEaqfVxfWHQ5qUt+AYD8Ad3VKHJUCAAAECBAgQIECAAAECBO5RYCq3WZobDMKhbfFPW7lyt+lMeY42HHpSff3zq+q/f83r6ntf1GHJHZ//Hu/Z1lPFdcb1xnXH9YdD9hu6j/twKg7GQYAAAQIECBAgQIAAAQIECOwW2JUV7Cr3Wb1879XNanXVTFdqpyy1JTrtFKb1NKYcSpNE1f93Vb2qXryoE4wjvfL8b9+244ivb968qa6vr6vXr9uvb95c179vmxDl9Kr8Wg5j6ndHGuatDzMVsOXvyn5LT58+aUKhZ8+eNl+fPn1aB0RtQJdf7zqsu/XFOgABAgQIECBAgAABAgQIECBwJwIvX76s3lbPm1lWdVowOEe2pmmnYK1zntgucp1+5bJu341wKEOh3L3tARTTutqcKb/eVTgUp4kAKAOiCIWur982QVH8vn1vM7S6E+l7PmjevJxCFoFQTClrK4cyGLrqezIJh+75BjkdAQIECBAgQIAAAQIECBA4EYE+HKrHUxadZI7TxEV9/+Lm2yZEasKhLAqKTeJ/w8qhuvFxsWFZdlSGQ/H7J0euHMrgKUOh+LkNg6KKqA2FIiTKCqNt1UGPrXIon6ssA4uvZZ+hCIZyWpmqoRP5KzQMAgQIECBAgAABAgQIECDwgAIRDl3XlUMRAo1nJDW5UPevslpoNhx69/3XddbTVgbd1OvG54Zl6VGUIHWFQ23lUExtuvnoqNPKynAoK4PKqWbldLLBWCZuxGMMh9Y3cn1T2wqitmJo/U/7vqqhB/wLdGoCBAgQIECAAAECBAgQIPDAAk3l0OqdpidQmSlsm0rWTD/rpoo1M8eaEKn+X4RDTYVQtPJZtf2E2g7X675DGQ5l6VG8exfh0FRA1AytmEpWBj+nHALt+4yUYU8ZBA0bUQuG9nW1PQECBAgQIECAAAECBAgQOEeBDIfarGc9VazMc3IqWdF6qO83tCgciibVfSiUpTqdZoQyx+45VN6o9dSxtrfQuN9R+3PbbOkcAqJ1MFSmfe31qRg6xz9h10SAAAECBAgQIECAAAECBG4nkD2HxjOLxs2oy2qhpnBonQq1ucNU5VCbA0VIMQyHxk2p7zIcytBnHQptrk5Wjud2nKexd3k95VzBuGdlSHQaozUKAgQIECBAgAABAgQIECBA4CEFxuFQ5gpzK5V1k8S2h0Orm+hY3a4E1gYS6xXK2ott+w7d1VL2U6Cby9WPx/SQt+Huzt2GQ2078KmmUnd3ZkcmQIAAAQIECBAgQIAAAQIEHoPAeCn7zHJy7BkSZc4ztYx9m/7UfaW7DKK47rbv0DqcGJLcZzPkYSPmtgdSu3JX+/25/TO8tmEj6sfwYBojAQIECBAgQIAAAQIECBAgcH8CUxlNzkDqmkr3+U4/qr4oqA2Gmtlj775Xr1ZWhy039ZLxbdlQt1+ueZYVQ13366zmWd3BamX78J1Dr6Hx9VqBbJ8nwLYECBAgQIAAAQIECBAgQOByBaJy6CZWK6tfc1PK5voNlc2oZ8OhcmpZBEbtBKd4raeWXd28OvpS9pd7S105AQIECBAgQIAAAQIECBAgQGC5QLta2fO2oXRf4NMt39W3q+ne69b1ymbU43Aouk73r8Fy6l0JUbN/1xQ5N2zLjrwIECBAgAABAgQIECBAgAABAgQeSmCcz2To01QDFdnNeKbSugioHflV0fu4CImmA6N1RdFDXbbzEiBAgAABAgQIECBAgAABAgQIpEATCBVpz6DwZ1zbU/Qbavdvd+wrh5r5afHL7oBtxVB7lPXy9iqGPH4ECBAgQIAAAQIECBAgQIAAgVMSyFXPMyRqM57u1a08P64eKiuLrsalROuN16uWld2vVQ+d0u03FgIECBAgQIAAAQIECBAgQOBSBcqqoXV2M16FfljoM5UDNZVD5dSyrB7amI/WLW9vRa1LfeRcNwECBAgQIECAAAECBAgQIHBqAuOqoRxfNp/ulxnbmFLWbhlxz2xD6tygX/O+TpDWwZDpZaf2MBgPAQIECBAgQIAAAQIECBAgcGkCbT5TVg1FjjM/S6z1yawntZpwaG6n8SplppRd2kPmegkQIECAAAECBAgQIECAAIFTFhg3pG7Doi4EGgU7c/lP0ZC6TYk2G1Pn8mf1135NtPHhTpnJ2AgQIECAAAECBAgQIECAAAEC5yjQ9hfKqWVt1dB6pbH4PrOccQFQqXFVdqcu38gpZNnhup/D1iRQ5RSzc8R1TQQIECBAgAABAgQIECBAgACB0xXIbKaNgtoQqFx5fq5ndDmlrGsvve451B6gOd5G9VDzyy54ak7WbHNVXV9fn66SkREgQIAAAQIECBAgQIAAAQIEzlAg8pjIZdp8pptDlklPmxU1FURl1dC2PkT1tLKcNjahNQiL1g2L2jTqqnr9+vUZErskAgQIECBAgAABAgQIECBAgMDpCrx69aoOfp6OppN1QVFT/TM99o2qoW6zwWpl4+qh2GY9vawtHuoPVA/i+vqtgOh0nxUjI0CAAAECBAgQIECAAAECBM5M4KOPPmoqht42k8Hagp8+zxnkOHVC1C1fP1s11L3fhUPr6qF+h4npZdmPOvsPVatn1Ucfvao+/PBDU8zO7GFzOQQIECBAgAABAgQIECBAgMDpCLx586b64IMPqjdvruvM52kbDPV9hrpxjqaTxW8z55mrGoptVu9/8CYCp3rrSJreNkdrq4/qf0fI1L6bZUOD79v34vBvqpu39eBu2v29CBAgQIAAAQIECBAgQIAAAQIEjicQPYZWV08GwVA3xWsjt5nqNZThUAZKWVXUJEDvffS67lG0zpFyybOm3VA3Ty1CoKZMqel01AZGzUH78Kh9r6ksyp36RKk7TufRNETq4qc+eGpG0kZS7bGnX/3229ZfO8B97nwHHMouBAgQIECAAAECBAgQIECAwAkLjKdY3XqoXaYytzpYuYLYOn9Zt/Epc5IiHomgpE9S1ouDtc2hM/wZNp1ul7HfFgw1BywaWOe3TTjUBkHrjkUZEBW1R30glAFRG+S0Q2237wKi5kTrQChDo9y+Ry9DprzcPqRKg3Vssy00uu2NFA7dVtD+BAgQIECAAAECBAgQIEDgcQgcPRzKTKPJXcqEYb3ye5vJFBlHEeKkWp/ZFCuQ5ary64Bps8dQuep8BkPNMbvTZYFOOQ2trBpqNm0qhwbJTZs05XGKoqIFAVG711QVURkS5TblYzNOyvK9QXXR+DnbSHUOi3kO2+txPPRGSYAAAQIECBAgQIAAAQIECKwFDg+HRntuOdBUFdFU7tH3dK6HN1iWPvsJ9UFR5jTD5tNzwVD2jG5Tmm4p+uaH9bL3ZY61eu/DOhzqK5W2TC/r0qLxFLPMlZpDjKaVTU8166aO9YlMN11t6kmdqC7yQBMgQIAAAQIECBAgQIAAAQIETlWgnNo1GXVkOdBGINQkLG2T6aJ6aDiNbJ3vHCsYauKc9+vKoZxRtp5e1iY92yqImgtcz0Trp6Wtp5l1aVFzsW0/omaXcdDWz81LsnXvoYNutDKgg9jsRIAAAQIECBAgQIAAAQIECMwIHFhutK4gGk7aGlcWTU0py3XGcqn6PiQa5THlVLK5iqGpJtTllQ7CoYxz1lO5dgdEZaPqNvwpGk6XTYv69+pvZoKiHFief7rv9Hz6s3UKmiecAAECBAgQIECAAAECBAgQIHCgwFzD6fZwm+lRFsfM7ddnHl1ronGQ1C/mlf2JutO0QU83zaxIg3YGQ/3+Q4A4XhMOtaHOOrQpVy9r953uQdTu1wGU+3fHK2aOrbcbrVRWBkDDlc623y1B0IFPs90IECBAgAABAgQIECBAgACBowhsD4zKU3SriHW/2gyONsOetgl1cYwid+nP20Uym8FQlwTFl5k+Q/2Ry3CoDXpip9FImx/XqVT7UzE9rO8z1DY5Klcza4/ZHrQ/7CBNG65GlsfuTrlxo8qKpqPcRQchQIAAAQIECBAgQIAAAQIECNxKoAh2xscp6mmazGMj7Wl3WFcJNUnKcLuu/9CuaqH1cYoqph3BUE436yuHcvyHBkTN8LN/UIZE7cj6V5+M5W+KYGnoN5w6NlclNDvBTN+hWz3WdiZAgAABAgQIECBAgAABAgQ6gZl+Q3NtiDariTa3LPsE9UuDjauEIlIZTyFrs6PmVVYLtfFLsSpZbtBtP9W2Z9CHKKeVlTe9DIjGTarb464vbFxF1LxfdJ2eqiZab9Ne+UaWMxsaTT2akiB/sAQIECBAgAABAgQIECBAgMB9CizrUF2GQDm69Z6jCqE+yBnN3iqqfzLzKc9eztVq32+Xu29eTdXRpksZDDWVSlPhULN/OZet+bnPsrrjDwOifp9mJN0YRiFRu01GXJuDm5o2tjj6WbzhfT4szkWAAAECBAgQIECAAAECBAicjcCyTGjUnnr3tLOsNhoU40yEQl3e03MeEgw1O/dlR93YPnj1ps5kpq9uMMVskP6sE6BxFdHMZoNqonbviSXrFwY8882oFx7gbJ5KF0KAAAECBAgQIECAAAECBAjcj8B0drK4KfWgFVCXiYxipHGj6cxxdoVCfeCTEDMVQ+3xusqiZjxdOPR+HQ4Np44NSUcFQ10z6mEBU3u4IdJgulkectB/aGLO3WiC2WwIJAO6n+feWQgQIECAAAECBAgQIECAAIHtAjPVROPQaJybZFDTH3x0nHFPoWb7YrmvPmoZTSNrjzs95KlgqNn+/Y/e1JPLcgWy+fqocRXRZqA0nXq1g29fGwVKE4Pdd4n6NYynlQABAgQIECBAgAABAgQIECBw9wJTQc+2s05WF02EQU12MnGgnaFQt+NcKNRkMxMVQ3mqrudQlw51Qc7WaWbNEdcjnQuJ2nFNVQet952ZzdZucGB10L7h0t0/Ms5AgAABAgQIECBAgAABAgQIPGaBxVPHxhe5pUdRGeRsD4TahCVfg4bTxVs7q4X6bSeymnVD6i6NWVpFNApwpqemrROeXanaOAvaGhw95ifK2AkQIECAAAECBAgQIECAAIGLEBgHNrv6WQ9nR43a95TTxxaEQk1sM6gWGoZMZdg0sVpZmw5t60OUBxj3IyrzoukKnmEEtCswmntSDiwquogHz0USIECAAAECBAgQIECAAAEC9yewK/CZzzY2ymQ2Nl2vYla8lYvA7whHtk0jK4OhJsuZXsp+2TSzjZCoTIe6N7eHTNuv5NDw6P4eAWciQIAAAQIECBAgQIAAAQIECGwK7O6RPL/62cY7g5XOtmsPpp0VK5KN9yqnys2EQ0XKs86JNpajnxrOYDrYKPtZN6beJ1dTJ+SPjAABAgQIECBAgAABAgQIEHhMAstzj8nqoLjUPQKhJsXp5rAN86D5AKrUXH1QL2W/vYnzsBdRM76FDYGWrE5WxFDNuJYe+zE9EsZKgAABAgQIECBAgAABAgQIXK5AWaUzGxvNrF62S22fUKgMkTbCoWWhzHCq2bJ9hpcwmSkdWBh04G67TL1PgAABAgQIECBAgAABAgQIEFgksLw+aHS4iR23LUM/NZiNiqMtU8hy/7lV1/4/GkV1toszlIUAAAAASUVORK5CYII=" alt="" />

  

  ok,这样就修改完成了。

参考文章:https://www.jianshu.com/p/03a7bb984a1d

     https://www.linpx.com/p/front-end-integration-mathjaxjs-configuration.html

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