技术栈:Vue3 + Ts + Vite + Echarts
简介: 图文详解,教你如何在Vue3项目中引入Echarts,封装Echarts组件,并实现常用Echarts图例
npm:
npm i echarts --save
pnpm:
pnpm i echarts --save
//引入echarts
import * as echarts from 'echarts';
app.config.globalProperties.$echarts = echarts;
/src/components/ReEcharts/index.vue
文件中写入如下代码
<script setup lang="ts">
import { ECharts, EChartsOption, init } from 'echarts';
import { ref, watch, onMounted, onBeforeUnmount } from 'vue';
// 定义props
interface Props {
width?: string;
height?: string;
option: EChartsOption;
}
const props = withDefaults(defineProps<Props>(), {
width: '100%',
height: '100%',
option: () => ({})
});
const myChartsRef = ref<HTMLDivElement>();
let myChart: ECharts;
// eslint-disable-next-line no-undef
let timer: string | number | NodeJS.Timeout | undefined;
// 初始化echarts
const initChart = (): void => {
if (myChart !== undefined) {
myChart.dispose();
}
myChart = init(myChartsRef.value as HTMLDivElement);
// 拿到option配置项,渲染echarts
myChart?.setOption(props.option, true);
};
// 重新渲染echarts
const resizeChart = (): void => {
timer = setTimeout(() => {
if (myChart) {
myChart.resize();
}
}, 500);
};
onMounted(() => {
initChart();
window.addEventListener('resize', resizeChart);
});
onBeforeUnmount(() => {
window.removeEventListener('resize', resizeChart);
clearTimeout(timer);
timer = 0;
});
watch(
props.option,
() => {
initChart();
},
{
deep: true
}
);
</script>
<template>
<div ref="myChartsRef" :style="{ height: height, width: width }" :option="option" />
</template>
全量代码:
<script setup lang="ts">
import { reactive } from 'vue';
import Echarts from '@/components/ReEcharts/index.vue';
const option = reactive({
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'shadow',
label: {
show: true
}
}
},
grid: {
left: '4%',
top: '15%',
right: '4%',
bottom: '10%'
},
legend: {
data: ['昨日总人数', '今日实时人数'],
top: '4%',
color: '#1FC3CE',
fontSize: 14,
selected: { 昨日使用率: false } // 不需要显示的设置为false
},
xAxis: {
data: [
'会议室1',
'会议室2',
'会议室3',
'会议室4',
'会议室5',
'会议室6',
'会议室7',
'会议室8',
'会议室9'
],
axisLine: {
show: true, //隐藏X轴轴线
lineStyle: {
color: '#eee',
width: 1
}
},
axisTick: {
show: true, //隐藏X轴刻度
alignWithLabel: true
},
axisLabel: {
show: true,
color: '#333', //X轴文字颜色
fontSize: 14
}
},
yAxis: [
{
type: 'value',
name: '人数',
nameTextStyle: {
color: '#333',
fontSize: 14
},
splitLine: {
show: true,
lineStyle: {
width: 1,
color: '#eee'
}
},
axisTick: {
show: false
},
axisLine: {
show: false
},
axisLabel: {
show: true,
color: '#333',
fontSize: 14
}
}
],
series: [
{
name: '昨日总人数',
type: 'bar',
barWidth: 18,
itemStyle: {
color: {
type: 'linear',
x: 0, // 右
y: 1, // 下
x2: 0, // 左
y2: 0, // 上
colorStops: [
{
offset: 0,
color: '#F89898' // 0% 处的颜色
},
{
offset: 1,
color: '#F56C6C' // 100% 处的颜色
}
]
}
},
data: [24, 45, 43, 35, 76, 154, 86, 42, 68]
},
{
name: '今日实时人数',
type: 'bar',
barWidth: 18,
itemStyle: {
color: {
type: 'linear',
x: 0, // 右
y: 1, // 下
x2: 0, // 左
y2: 0, // 上
colorStops: [
{
offset: 0,
color: '#52A7FF' // 0% 处的颜色
},
{
offset: 1,
color: '#409EFF' // 100% 处的颜色
}
]
}
},
data: [133, 23, 114, 67, 89, 35, 67, 96, 90]
}
]
});
</script>
<template>
<div :style="{ width: '1230px', height: '350px' }">
<Echarts :option="option" />
</div>
</template>
<script setup lang="ts">
import { reactive } from 'vue';
import Echarts from '@/components/ReEcharts/index.vue';
const pieData = reactive([
{
name: '大一',
value: 2100
},
{
name: '大二',
value: 2502
},
{
name: '大三',
value: 3156
}
]);
const option = reactive({
color: ['#18F6F8', '#288CFC', '#FFD91A'],
legend: {
top: '10px',
icon: 'circle',
color: '#555',
itemWidth: 10,
itemHeight: 10
},
tooltip: {
confine: true,
trigger: 'item',
formatter: '{b} : {c}'
},
series: [
{
avoidLabelOverlap: false,
type: 'pie',
roseType: 'area', // 玫瑰图
center: ['50%', '50%'],
radius: ['30%', '60%'],
label: {
formatter: '{b}\n-------------\n{d}%\t{c}',
fontSize: 16
},
labelLine: {
length: 10,
length2: 30
},
data: pieData
}
]
});
</script>
<template>
<div :style="{ width: '568px', height: '360px' }">
<Echarts :option="option" />
</div>
</template>
<script setup lang="ts">
import { reactive } from 'vue';
import Echarts from '@/components/ReEcharts/index.vue';
let valueList = [30, 50, 60, 65, 70, 80, 90, 100, 120];
let colorList = ['#FAAD14', '#13C2C2', '#14A8FF', '#23D688', '#397EF0'];
let fontSizeList = [12, 14, 16, 18];
let data = [];
let nameList = reactive([
'Vue3.0',
'Pinia',
'Echarts',
'Element-Plus',
'axios',
'Vite',
'Pure-Admin',
'Vitality',
'Husky'
]);
nameList.forEach((item, index) => {
let valueIndex = index % valueList.length;
let colorIndex = index % colorList.length;
let fontSizeIndex = index % fontSizeList.length;
data.push({
name: item,
value: valueList[valueIndex],
label: {
color: colorList[colorIndex],
fontSize: fontSizeList[fontSizeIndex]
}
});
});
const option = reactive({
color: colorList,
graphic: [
{
id: 'baPng',
type: 'image',
left: 'center',
top: 'center',
style: {
image:
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g8QIOkHIi09ZJQrgxm5FFOVhZw0wGAuyD7LRDUqOrPLwATZpw4SHQBSuy+XzKVtP/aF6esNQL7TIi1XDIFBbYwCBDUL8Sd5DL0WYPRhLZMOhloeGcc2vHtyTn46EjKugUVBpcVU8L1FgD5929H0Wz/70fRHd25JJ9ztiSQ4d3tGAYoByBH7Z27Fyl7LlAU7QZWmrfYZxZjo7nD2MQBlrBBbuzrUTZSZvC/NPeZgurjvw/aT51hOzhnu5kw6dvqe+yncrwNEmKVaJ5hN6Mp0sRAHEIu+kIVoFAbvEYGhC4PP20Q8fdJ5add3Xp5ebNrHt1ny16Vq5E23pcE6lFwocLQAxg2Ud2RMSLgvMxnl4lT5JH7kPoBREyb9zShQwXeWHHf7HcfTb7/2H9JbPn3c8twi4nPC3B4wFOSkFC6PbWMqPtkJtBQHlMiSpXbCmigQY9fj6lyLC2GAcvkfpXPNte09tcn6fvSWr58xznvm/t3PgaRDWJ0QRNSVsSxG1zfcfbGsVOSEIKW9yUJqNyaYyOwRm8smLswJ0z6gf/y7h6fzXvqI9PLz59O32OC3VLLVPwWQbMyV0Rfg0XBZcsiVzKQadzVTaYGGD4hxo8I60grW1G5JDTaZMUW/CBS6n+6j3WiBSoulWAbu3fsX0v94w03pLX9t+SnQUbbZP7o8dh+XjTkuM2ysguwR5KEEO8libLAT5p44O7HQsrnFK3kiYMPV6dJNACaPely6EMJqX1iAAPvPL5zxXJUz9W/ckDlT+239Wh+I1HNkPLms5cpITkgvNwZRGDAQiqj2+rXnp0u+4ZHpP503n77JOt75JKKhFwxF7JrGWwNN5R0MktAaLCb0haF7Oko7GTsAOkLN9bHU7amBo3Zx+P04UBnFiuycDt1zPL35XZ9Nb3jnvnSXayghys4aG0GUpynIRri4i53UQmzL1aFu0gUmb3lcunSGExvHXuDBDia63tZz19Oy2/0USCYDkVpU/dt/sAzzc9O5M8tp28mZtLRrR7rnMXtsRr0xkDovxDJFZ1DvNIOIsBBLR5+lG0MhlToIRNTLtqXtP/mE9ErLOP0uu7s6vzbf7Bb7aDEPBZn6yd4CjtqQlUHoMdkRB6OOnJCukenH0C/jQ4thONERhtUClgI4Ah1HgUqX61P199i+o+k3fubG9PpbT6TjGVAa+oll1y57hqy5ODU7sUzcFXd1WAOlIcRqVGeUCPv7v58umtuetvYFkykj2RRsnEwTIYioqPr38+kigMgKtAzro/nXi4+YS/sBIurKILFMQ7qIyNRiqs1InTVxbjYDiIVxse3nnpa+9JF70k9smU2XtQx0FIDUzCQDixiispORoMF7ED9osZ4CC0ZEdlbRrzvhbchdCXQo3BQ5IPteA4ZqOkQrbVu7OQ5Q8P3icvrMPx1IP/HjH043uGvDsLEBR3Z36vyTKpnNtRN1dcaASZENGyIsIjpv+F/p3O1HB8y0D5hMNZINB5L1gwhmoXziU+nBAJFtJyNLwya8PWkp3VmHdVuuTMFCmExm4WLqIN/9uPTIf/vg9LPbbc7LKADJT/IAB3VPavaRQSOuJ7UBtl+4PNFQ000Sa84MpMFJxzGTpksRLo4yFJ1dUgBMB9sYBSrq/ijoDG0XVtQSby0X5a/ed3v66V//h/Rp109O2lxHiLEx85juTmYndWSnEmLh6kA36RJhW2By/RVp9srbLWqDqc89wGQatdlQIFkbiLB+qmoinzqRLt65ZGIX6IiByJb70tKjLjBGYgxEXRlEZI5vH7gvGtIdYiHmxvzrPWnPdz0mvcqE1JfZAN6SiQANjBZGViHI0QQCAQ1OvqOhFa4MXBKfeC9uhrocHXrJWif0jbqlygzoyuSOKTOhsUdjM1avIONZXK8CVESH8f06gKjYroBS6TggKAcW0u/9xifTL/3vQ+mQujtd7GT78bSMVHtEdSDEZlcnShTUImyRvCZ1YlmSALOHTavZ0wNMpnkkG4cjbRDpSnmnO6OZqozMQFS96VjaduhwOm/ugrTF6oYuz21JBy62QYLckCPH0qxnp15Y5YUgocw0kayFCAv5jWekb3zorvRf5mbTRZklyODtcicw1kexjxbzwDa3kQCI/Ht1YRouUOtetKI449gI24GhF8ykMlb2L+9P0CCAVsCSQQjtAivilYDEa0HAyc0IqNTkqnazNMqD75aW092fPZJ+/rs/kP4vRndOWASGuSeLoZnkyA7Yyf7BvB3T1ZaxXs9ue4Vuci+q6dtaPAwRZxE2IjpaNGkCMDEQwXTEM3/mcIPYbpz5b0xLa2MiqokoiDAy09JDaldmp4HHggqq5sqAjWBODMTUZ5+XzvtPX5D+u7GVZxWiY4NN6LXIALKKB253XVEb/NbCmqvgIfsWgKKsRPsQT3HTglaT1uLBXvSrjz4igFW7OPpzvLccmUyT6n0zIAiwKEjwvKywkv/pQFWAqHCpACAFPU2E03PG7zGf5zf/MX3PX92b7iU7gY6ikZ15AxXLpl1BlbYiiS10k3MvT8teiFp0kyEwkTV2CCZwcx5+R9q99R6ba2MCrN2iE3muzdVpSRKAWkNsY0xsA1o5w4FkjSASq9nBnZkYRCIqQy0Ebg3zQiiozhxNcz98Vfriqy5Mv2KD+sHZttSNEVYgtudvySpoBF0AAsPPv407VbORenTltsTd4U32fdmOuFra/9poW2Ms/1RHj7gSg5NsgxbcmJZRk4UQQDKoyAkCmPoASi3ctgBF2Unck9s+uj9932s+mj6ystPqaiNUHIlsy7vsc8zdgXZSR3VGibB9mImm1F+LztTzc/JJn7nM5MwHktpSOpLNxrkzQ0ykyg/ZdZHpIQuihxiAWCnCGSs8PIfZuabyz4KFnGPT93/56ek/X7Q9fa91bY7AwMGroMAndHNbAIprFWF4PNUh9hHfU9eoL0neX6yeoFG4L3CLAuzmwnXAK576+Ed3wt8Dc7A92gQuEQBxPDIovMe/pdjmr3EMpT+ZRdTIFMfWzS1Q8YEaF7RgKdFXgpMylFaUZyiqJAe23y7dfTz9yvd/MP36wRWrNWW5JzaZchmFlawA95KVkvQsWbo62+dNN7l7OBvWk9dGMRM7JpcUJTPpByZTIGk92MZsa+eKqC7CuTNDIV7TQbiejCaaZXemBpFKVD1h7gxS3DHF/6S5Mp7ebiDy1XvTxd/yyPQb81vSl2QtIQZ3k1XIdxlUBEAw+N0gxUh9G9mMsgdhOLVOwnaygBrWhJethgQWgnZAgAESOPLFrxnKhHcquyyCbgQWBxlrz0KvySqJDQCTfZM+chteM4gEkBXsJQDKzUkAyH9TtV0DSv3ELACFNyeOubCYPvx7n07f9a5IZEOa/VZxdbYZK8lgIiKsptaPBZOGm1PUNOmcNXxmgskZykjWASLj3JkKRCzJaFbzQwgis4ethGjUCFkwV+YXnpKe+Zhz0y+bMV5U29o4xpENXUDDH7ACJBlAVm0tf8/jkXlkUBLAQVuz9s/qsqI0gQMIQEMBo6+QOiGWdO5eR3HAVgAoVsc1WT3XtBwsKLOJuB4EBWcecbIEmAIg9DsCT7zy1McBTJd2glT7T96Xvv/VH0rvnxdXZ3m3LQFkrETBBHN1LOK3XM/TOZvA5H4DJL2YCEGElcwi5b1gIlE7BMKqggg1kTq0e9Fymn/NU9OrL5hP344HIgGA4ck6jNoJKmQiYXZ0DxRAsnAq+zrYCJ1RtoLObLH/ATjwCubhf8JeWlZOQGnmg6wDRfq0q+ACprJo5+bAEiCioKLsJesewVoKgBFAodvjl4EMZxWPVicPsh0CULCdIrJjl/6ehfS67/tA+oUjVmyIugnBBG5OzjdRMIkaJ8iEHQITVl5jNGdSZjJARuF/67hhG/jTMxBIGmxEdJG6tuq46Mx5lq3KRDPmiNx+V5rV8C5BJIuqEdp93Hlpx088Mf2W1Qi5un6a92UhWVgN48YIyMwC2xyZVmk/j0MA4ffwTfgeN830G//nhjMCOGpRkWNnJDsZNypGDOMWOHX1gcaOE8M1OW6ActxqgtEF8lNrsRRlHcpKKkDJuSi6f1Aaggwxuks7wfZji+m9P/vx9J8/cSAdxQRAhIgxm5gibJG8ZuHhSy+2RLc616RHNGdobs51VlAaF6kpvp5ZYDJuyGwgZvVpqieIWFMqrmqyWZcmssdm8J4wt0ZBRMO7BJG5c0xUtTT3r7o8XfiKy9ObzDf+ohaI1LaEz1m7iFPltsAKpOL7n7OKgf0XGgm+U+G0YB/2A3O10vbQPLrAo2W0Rf/ljm+0q1PnlfCOD4WJ4+lfjwgaM5gKQMWiJoOVmWP/bDq2LQuuLdYRN0ejPJqX4gAm4MJ7odu1b/ituWR/97s3p//4p7ekuynCKpgU4eEAk3GaSWtuztAaOvcTMDmDgGRE0tk1g9tai6tIOOsDIliUCvNm3J3ZYZqIuTdD4V1jIZaY5pGZVzwkXf7Vl6XfM43hsnqwKzg4KMQoVGZRA0p2Y4SV8LcEpOzCEGjiC2gdVpIA6/cOQKjuUGzTG5kBIjY2AUNYzHoHAftUayJDQBI7KrCoERfGGx8AJgAVaCtu6AAOaUdDvUPvAUD2m8LdiTZyW3FRtU816LBfpvHc8rab00uuvyN93sFk0WYQGzsZCg9brsnCsX6aySgwKSI5Z3hIeL1jqDGs17JpfOZqC0RwpAMRoUFZRNQSOW6vqomQiagmoiCyy2qHmM+bQeR7rkiP+beXprfahbmQxl7rIQWbEOrtIENwsdcMINwel0aBpgUg2Ab2YYluLpr21TyGckR4vHgdApsRd7+LrYzUVSqmkQGmGhJ1pGdUmwQn6ChWXd4jQG7ofQGlcncUQMgIW+xEXR1lefb+tvfdmb71Vz6dbhoJJqKZ2HyelUNWca3QTKwGLGuaAEzOt8/oWy5BIJP8cnX6M9jFOXOApHrUjhJX8/yZUSASxYhqJlK4M8tWgMgiM2AiCPNe+4T01CdfmH7bBpEX5OUAGqWHKKNQQ3YXBW2QhQTg5P0ZDq32AXBY2UYXTmv2UQ3owQEarKN+yrfaybY9irX0eCbUoEBD1Z8WALba5UH3+WXFVlouGnaFKGtzXpyhDAEK2wt3B+3n/Jhon58HN2f1+BOCycFP3Je+4ydvTB9sgYlqJgUziZnDx61khafTK5jcz8XXMwBIeuoiUSKxFleLAs0mrJ5nLsx9txgw2GsGkQjxKojUTOS1T0hf9ag96b+ZYfqSD10gopGVOg8kxuZACwGADMbqYMwGkPB9BhrbgPcQTsFAWgCiRklQYzsEE+8vjyU/UDeH7/NNF/emB2aM3EXdmparU7gO0k/9nYIK37dcHwcUu8aWy5EsSWwAFtGmAgXBwQEr/uGGdGkn2aURFtPFTKydE58+nF71qr9Pf9ICk6yZ1KFhAxOk02NuztCs4QpM7k/i62kGkp66SFVntZn6DhCJBbsP28Q7gojO4KVLoyACJvK6p6ZvffCO9BPZFmMgDYmnBIPgxNmVCQQZ0kJqFoLPYWWeKWr/ELoFA0HOhzKHLvZRA4N3RaytCzjqtglARIe1Cq8tgbUGjZHAEqzAT4G+Rut9A8awO3JTDhlDAVNxEBFmo5qJirPOROy3LcE2h5zZhzhuBiW51rhlnzuafuS7P5beSjCx/KOVI5FST2aiM4chwPpEP5k1zKLSTb3kauvt9bEAF/pyXWNp0NUng97m9T4bJvr96QeS6tRHujQjxFUN884bkEATaYGIR2dEE/mlL0pfZwWI/hvGYeDBYCwJg+B2bqNmomzDZpL6HyMy/j7aqOfMcCzuRvKY/eu6+y1Q4G+HwCPYRc1KmiATRtIFHuNGY9egyVoSjU86o0adr3MAR/M7bUPAoTW60YwliaUjiPLg3PBPToIMpBBjA8CGGAzuG9voABPBEhxr+ZMH0yt/6BPp3Q4mB02AbYSGFywDlvVgFwxI8qJcVVh4rPhqQIK/oXWG/VqfvpDwaQSSBhuJfJE3/+u0e+leY/pWINcyIBetcshZC+0NAAAgAElEQVTxL3tYOoJLRXG1M8xrERkvBYClMm0C3oLNn6mTzTzEa9GZ6x6Xnvak89ObbWB4/RA10uIJXgGLgkyXoJpdF4BJAAraxHtb+CrttH+14dFIVJPJ22JwK3hRhJUH+QDM4kfZlVEXRt57v7izjIRxg6IAmg4GwH7rOdaA4UOf170BKmqwvm+1j4IKjwNB1vI+imQ0ainYX+fp+HkKoLA/BeCA5ciByEyKvq2khb+/L73CNJMPEEy0rgmYyTzm5Zibc9GuQQkC1jPJCWuml+yygtKY5EfxtVV6gGn016JPKr6eZlYybszovdrA990uze9/kZVBXImlKa3K6YrldOCfiaInv3Ap7cds3s4ITQNEUJAIae/MWPXJdzvTzKsfnZ70jIvTH9hJYbWz9YFIGKcCBtqs80a22n5NN4YGFUaZDVUQogaQrNUQDOJOFtoO+iBW32Iz4yJCfW66uiQ0zBoE1I0ohNQw5NxGB0vRLFcipYNHXLsMXPaG7o4RlMxOFEwcDAKYaAB4LUAmvqj3U7Cpjn34L+5Iz//VT6d/nDs6mOxHMGE6PcHk0gdZwtpdYyI5ffSSMygkfPqApHisGVUzNvLmR6Xds+emPcsGHG7cmH1rf1jaYcXKIhr8HH7EE9LhSz4XFd8b4qonnD1isOaM3cDZeu7MiT1p9mWWJ/INl6U/ssHlS0Ko8Y1kIrGvg0SwDOe2BAAyD4nIcNYsGAj+qeHWRp+/qwCErCEDQVhNzTzYL54T2suMQFlJAKcan7pAfcDD9wkQ0GtWPL0FFLz92B8/rVPZaaB8VSPNIqh8WespCk78DuwE//BZZg9YXQgRX/Ed+6lgIkxkJJjIOVkf7vyTW9ML3/j5dMu2Q4MSjjo3x8bistcz0YS1hvhalx7oCglfi+txhoSETwOQdEdplI3UIIKSiEtH0uLT96b9LAlAXUTFVc6fcXfm3EFVM07As8zW2Rc8PD3oRY9K15u4+fAmiMSg8nFPsAjDy0JpsIBCD+H+BJP4DbzWc2wFk65oTO3GKFjod8SWYluAgwKZW0w0ogBEw2/mmlQg0xtIgIsCem7nHFGCBPmpz33xGuFbggoBT92XvLsAkjaRjyfGrH3HvojuHDQx1rsT4JCBoQILgk0twhK/CkBDe9GmgpixoVvf9s/phdd/Jt3BerAAE6+2dt9gbk49yS+Lr2vQS4bAJFv0qdVLzgggcYH1mpTe8q50qbMRcWm2G4AAVNzFsdcvuijdwWUjvOK7hXlrcZVh3i3GSFAKAG4NQOSL96TdP/wl6Z02we3KJojEKJwURNSQ/T0M015AQM6xYLLqBAULEQOeBEDYd/azBo/MLroAJUBPb/56GAmNl8bKz00ACaMvXBnmhAgQrQdQanYCF9MjO2H8HgIGiEQHC5cm+rceMLEI0idf8+H0DR85lA4DTFBt7aDNDraH2zLDwhrJofiqekmdrMYi0gwJj896fUADyeickd99a9oLgXXIpYFrg6UjTqaTtlbMPUXmKnSR201cBaBEoWadhLfHAASlER86m3b816em37Xq7k+lyFhHX9xAySwEVGi47s7gXwBFIbpK1AYRHDuu54Yo7c8GpwZOBiTbukClYEjyaNbthXbCcwhDVbAoRNYAtEmfKhk4/KINDlYLom7U8ajnE1yFjXobhn8BIh1spDiO7KPuU81OIMIetn9WWzfHN7wcpLAL7886wQR9s8mHH/yhv02v+NxyOoZZwwZky/UkP0RyLjLXZtelpfh6riWsFVXpQy85k12cSceO3psJ33dHacBGkAJvKvXumW1Wi8r+qIvApQEbQW0Qy0A9/NCL0xHki9x3fDXpjLoIIjQUV3USHnJF3vLM9HNm3C9Rw265FbU7w6SzXBWsAhuCErUSjEuACOqCZNciBuY4N6YJIDhelQXLPhH4avBw4xUgzMflE3nV7gfAyItSjYa8PdrKbktGxFXwqCMyPBcatvYnuxgChpm9hFXnfBD0mSUWyWai/9lFkc81mBXsxL5UVydrI8FOtD1/b/9yslvlBqmbU4MngcmSzt74sven61AUCWHhIfF1wSI5tV6y3ZLVZIkLRnHSjSmdf0Va6Q0mp9jFObVAUj2e6dLgwnMuzYdT2mvjZpu6NAARLmLVyhfp1EVQDsDS31/zuPTljz0/vW5SECk0ETE+gkqOysR3eNKdY/4MnnK1ESqIKGAQDHR/76f9r0hwi23y8HcrJvARPBQ0GOnQfYgwuPFIgmP1NH8N66ERoX1SfM3E1f7BMEHG8Mpyi4OOiSbBBglwBFYYaxioglQ+Po03fsfIiw7awqArgGmxE+yP+3bQmAmYYy6ehHMNwKpDxH3cnC4wufHe9NIfvTG9f5tN8EP5gVF6ybj8EszHyS5ONRfnWlzz0yi8niIgGc9GcB1YGmD/kbTHlsncMbM9bbMBurhnKS08dEc6MuTSRL6IujS1LvK1l6ZLXvHY9B670c50+OcGiadxw0ALlyX2IQhlZhIswduxq4jQLpiI6iH5WDyODHQ9Ph/MeVsgDd0oMhD2ldEd9MV/y/2r9pmqj9+z8BES4IbKLeqFWed7llnErF0WLiKg0VAJpD74BFTyvBgFBOwDQIn9MkARgCrwEJLjZ0KWoafFe2SahJVpj7Zjh7Fggv3DamrAq8VYNGnXY9+bbkpf9Se3pzupl6A6/aLpJcx8dRenI7/kwt1p+RZrBwuW757UxfF+nhqt5NQBSQcbqQsVdZYGiBT4Lpcmp7/bRDwuGYFq73/w3PRm00We0dJF1DDrEG4MgqYmUs+lAYggMsNTJJ2uXRm3GzX6+EHBVgA61l4NcAXYUI8hQEWkBr9h3yD0suziOOAgGxpyXcaASp/fZWCxPmdgsY7m+S44MWg4aqASni1Ah4AS+9YsIBsyQSf6r/upq4OLjIgORVianGbCer+ivTrPRI/nYCfAxeOEXvL+l77HFk6Lko0QX4/MDirT52S1fxkURGJF+nN7uDjNuTiniZWcHiBpVDyrCxV1JZ4NhXovM/1kv0VlEKGJdXiRuYo6q298dvpPF+9IP9QFImqcDhya/wEjDaPOoCKG6kZr/4OgutustsLJVcAIY8/Hqj8HuGT3IwY/2Yk/PbFPHLsAFO4bbaJkCeqWkHXUODDK8GtXbAyG5K9b4DPqOHB/wFaQ0p4TxqonPM8xG3Rco9qNIfhk9yiuU95efW66OrYPIjqW1l7M1ekDJoVQq8cKoFMwuf1w+ulve396A+q/FnpJMJNWSLgZxTlDWckpAJLhSA21ka5CRfVaNPcdSrMM9aJcIlLgT1oKPJbT1FBvzhexpLMfenR6smWuvt3Grc/mxV/NEGigKqgSNPw1Bkc2crozYdzz9mqTA0cyET5RCQwKOHmbshACi4IEmUv0JwNbPCkBZl63lYkQI1BgCDBkBEwKJgWIVEjah92AoaDOCEDF3TTry1AKexhl4U4o8MTvardiHJgoM8G+tuiVF1DKDATHJTMKtlHnmeis4x7i64n33pG+BpmvmqymLg5CwlsbLg6jOL0T1U4DK9lkIOmvjeTyAFFjROfSQGAd59LYMotzeyJf5HEXpx0//YXpPUbpHzoSRCoDxeAaF52h2zExiDiSrbILsqQMZgQt3W8MgCDdnpXTurCjAIe4203AADgKGHQNDMULugz1sTOIaHtjRppPukO91nGAgoOJGxEfV1Pe4zvfLvsR0LvcHHTP3Iq0gOPjtxVAaVv4XvWc3Ifq2DUDQn7JdTemf/+JO632q4WDD5mLs9zHxWkkqk0kvOZrv3l6yeYDSfWk6sNGuubSIPHspDGSY/sGS0gUKfAGJChQBF3kTc9Nr7WZtc8nC8nuQRhyIV5WT3kmlFEzybkjwhr6aiKqh+gxdQ5O4EaRRYtogtP7OKYyEOgdVozaGYj+6RM2A0ILOAIw6hvPvo4gM8NfhbEV/QgDVl+vBhZ+LvSKaASAghojrISWGUocC8MJ0bGm8cZYU5eIoMMQOZlKFnnlHPAd3JwTts2Py0Q5YUqM8uBV2ZMCWpdegn0OLqS3vuR96Ufp4uQUenFxduw1ZoJyjTFLeE0uzilmJZsIJD3YSF2sqGYjxkS2m1uD7FW6NJjViyhNl0vzmsem5zz2gvSmwoUggLh1ht7Ap718twSn3QapgogbMXwc+y1eoEMYQ2q6M8UxAwhyCDYAKzORuPI5xEu2IiwkNFU/PgYt5uqMYiAKBgombrBhqDVgjHJ1RoJK9YCo3ZwMFhWwKKiMcn+UoVCLiKqTAxDh059uR5zgEJOghZNhyEkRVGo3596I5rCuRD5+HIMgUwMamta8Ewcrnn8cF59vuie9/IdvSn9ZuzjMemUUB0ACQJm/La0cv2JQw0RrlxSs5Go7GuuWXNeoPr/JrGRzgWSdbKSeS+OJZwYqC3sl8UxcmofsSfO/8sXp/zGt4AqOl1G6iJYAKFwasg97zSBi7zFwzjU2oG0zlFhMxgsQcToNAKK2QrCgUQe4OFhhZ3xfsxDbbKDpou4oYVOPz/dkNUPzayqmsjrGhvNfusBE3Rre5i7moSFe/d3Q++pgaBfZqKiEhj7W7AQbm5oKrntce7ogBNMuLaNmR/cZM9E8E2c5AC0BpKJP7F8AG6+pulI8PWNbn7a1cr7i8yfSgro4eZbwPovqWMYrozjFXJxGecbOJLVTyEpOHZDUkZo1sBEKrPWEPERpkL36hqekH9i7y9bkDYMccmnEwHFT3XYBFmLAWVjlvvg+BqWVcczGzIHXBCqyHDlebldYEQGErMD7I8Dj1dPsmC0NtcU+HLgEpPwcs5WH/oCNtpMykdoV6gKPoe3RtgIcDYcgSuqmYimvfWFssbEFlrj+R4wlwOXIACHnWou0Oe8k7puyAr5vGXrtHoKZ4DycCQEgBCQUVLr0krjU+XdsH7+940j6hW//UPp1Zr3WiWot4RW1XtfPSjZHJ9kkIFlbpEa1kSYbsfIALFSEBb6PCRt5weXpIS+9Ir3PBlERpfGxDsOheyKuAw15iI0IwPjItd+eO7/69FsTiKAPYYlDRY8qFoJDepp9A0FqYFCjZPsKbk1gaTGSClz6gElmY7Fzy23R49fAEZiawW8cQ0HBZwiibtzRWOHKxLbWJLy1gAnu030LgST2XgFDQaWll+T0+8jx0ePH5Tr8B59OX3b9LenzZCU7THjFQuWt3JIznZWcGiCZkI1ouHekwGrr84KNQGD9/S9Nr7fKY8+jAfR1abxEYqWLaMIZ3kMT0bkz+Ukvxkd2k405wIiuSv19dmWwH7Aq3B+4MGAheh4qTtYuFI2x7lOxPRrLLIadjGPXoDGkm1Q7tFhDMZDi4DULycDR+F7ZVO0O1G4HqshDkEUz7nKEuzHk6pBBqDtCABK24s+aqk/cBtH3XgOTnEAHQOF0AgKa7aN6SWuqQat9c9ve/bL3plciUQ25JUO1S6yiWkt41XBwrqYWS39yga3RldQ2npVsApBsAhuxyXjzqC9y/mBhK6TBn7TyAB7utZwRF1gvNIF1jEvDp/dQRCbYQt4Oo45t9pRwkVNsr52P0uXOxBVWPSZHZQKIeFwktiGZrGnYDcZQg1YXeChzqFmL/0ZPTkZEDSgFgMhv6EJquFPZRy1mupEGiBWaRQuwCBLVd0hqw0xe/GWmEPdgyKhxvBFgwv40wcS+9PKNkmOi4qszjWibTKjOL9H2eb3pKt20f1V4RTh4q6bPH7DIjdUvudTKNBZFoxEOPsO0ks0Hko4s1q68kT5sBDN7WR7gQfNpe0tgdQYgA1YnneHGUhfJkZEwKILRsl2ZOkLjQBSNUvMYCiXHYG6Jpn5cprcLiGDgoW4JPZnCdYrzIAjWYEERcQhUGmyJYcmarbFttdWugaGYQwPh79QQfT8xXt83+lSDh1/SYA9ss4uhKCjhUh40HQP3UsHEwUVCxENuUBwvG3i8cVBoMRPbjnk5XqmefY3+ZvCI7XVImKDC88nHiIvmwutH0lfcsZCOY2LfvbFyH4RXr6h2P2Elmw4kk+aNDCWfNdjIcXNpbCLf7NKFaeYNV6UfuHBH+j4aNg2tEDBjUBesIO5sFloFXPi4tGza1ZKAFYDQUNzViEEBkMiAVTERApSDCfe3H2IyHbJjOQBplDVgZeYQxqggOQoYcj8rQPLjiLUOuTM9kUR1EYodmY1khFkVgbVZNdrMUCpjzgbYMHC/lrYDdBMuR+EgEsdVgVTBxPex9hRsijwT6QPPCceBi+O1VYSBEBioiSDPhwDV5eLUrOSuY+m/fvtH06/PWUmBQ3MmqKKiGif1VaxkK0ozYh7OeliJ93Fj3ZsNBpLKrdkgNmLx9NkdVjYR9VfJRrxs4giBlQZEZkK7gcEUURoBELIIuB4AEV8qAgwjBg7BqjDiGLR1uxzkfvxogyDCfRGVAYjUmkNmO2LrbKfISxFw4+gdBag0lgwaylriHGn7fV4Ll0WoUhZNlWXE+xoYfEgLSAzG+KqxKsDwq9b1Apgg3Z7MZByYoA3um9uV602A4Dli/wVzcTDJj4WRCFSZpSjA6LnHKdWJanKND7/t1vQ8K9F42xIqqkURJA8HW3lG0wmXz3StZFOBpF6jZtzEvDpSc9QSz44bI6mTz1AJ3jJcUazoF80QPYPVgaIyLIKIGiZAJEdpYOAxeDTprE5/Z9tkHhmU4o22EWl4xbq/dGfIRABUNiPZK8qz7axjiHHX5zR0fG4QlqJgUbAmvTbKRPTaKXrEyCDoFMxD9qsF1fxkVwYRx6NxtrJMCSgFY6lAhoctXCgBQGgmMHZqJHluTIeb08qAbR4/DozvmEavyWp+XtFXvNZRHI3w8DxVT8K2o0vpD190Q/pBS0BbPmRshKwkl2Y0nWSnzcWZVCuh6IpjFGvhbDAr2UAgGc5kHenWjMhi1UhNFxv59w9OD7I6Ix+wcRTmGE/+AIZshASKMDqP0thZ44UAwwiKZ67aCEG+SGG0LYAKEMqgAoCKYxXAFejB4+FYXNemC0QKxhPH4ZM5MxMCAM+36k8NQjRCnhdBlyeq55v3rTaOjNYocIRhtQzfDUkMs35KZwYQ+ymDUXbSBSZc12YUmNCwM5OQ/igwduklVvnMk9UIHtRBnOXEgMjHr1gZzz+D6uqxF9/8T+kZLBrN0oyjWElXXkmvBLVs+Rvj4mwskOjA6wj5st6Iz/B9tFH7jxnrMFAZyhtpaCOY3Us28ntPT9eevz29PGshDWNXgTW7JWLwdZQGnwEiDPVml0ZAZ0hcje+c5cTV1HYxTpSJIAIEIPE/7fMoViG7EyDIgtgfBYqmCybopCCCXBUMehgADMJpexgxn65+DgFUPC4MydmdfYfSALaQWeGSdLkn+uTOQBPWpU92BZxsfIIkym7UlcK+yIYFoHSBieolzWQy7U8Agbo4HhI28dV/a+deR3EUoFREHormCJvCfgeOpzd9ywfTtWAlWBfHk9RCK5lHWUZLl9cIjs7BOfzktLzbdBMtyVgUir6uK23+DAeSPiJrnuHL9WlsXg3n1NQT81BrZJcloEEbARt5+Rekv7LBahVdwyYbDEENAO8x4J2NYN/450YOg7Dt2+wfEsFqNuKfYxDjfc4BgfFH/ocKqNiXT6wCRKxtLBSuf8peCBJZwFXjjU4VfUPX9byr90U7ce4YzFttpFtNXH/dyD8kjKGuB155jdzI+VRWw8HmAN5OcIl9CDCtdhRkiJUOJgZsR0PPwOfQSAfgAuOPY6v7w6dqNvi45w32sDq5j9eVfbWda+G1BhAep27X+nX8tR9PT33//nQASWoofoQiSHUER1fqG2Il4+qVDK3Od0YBSb/ckVbId/9hm5RnQIJ6IyxadNTYiF3AmYX5wXKbyBvxSE2kwr/xqelHLtqZviMbEZ/sAQrZ2AdjZtWFkfwQf5oGCJBrawp8YdRixP4Wv6WR41XYBAVbB5jYDlCZNxaCPBG2S01kHGix/3HYAcgJwLA9ttNiIxiwmOyHZDdGFTYSQFptAbSRNIbJdzRwvqoBDb0PZMjg0QAT1xcEiAowEbByPcOO7ywr2IPXGIl9MoDJ58xWCH48jrTLa35AozgAq0hU83YBVmR30laLlWT3zvbbdyT96rd+KP0SUucPWZKaRnDASrDA1k7JKyErQUnGYrnPrgS1TZp/Q3Bc57hqRGuuGTSJ4kWdIuu8FSeyivAM+e65pCxaxDIBYCOoNzJnbORpF6TzfuhJ6a9tYOQarHWUg+5ODvcGQyCl5/Y8mc6+3wVDQ+IZjDQGTavdbLB2bv77uIJ0Z1yDIbhgH3vv9VyZuE/QCzDghVfA020KFDx2ZkSDQ2Vw8jYCaGA4iDptBvOYdLCQqSCJjPeAQFGwEhhgGF8GBwEMHaxdLKZ2c1AWAMfPOkZc/6HarGL4Ckx1P9TFcRcKGbYBbAVwxBgiA0J/myBVAaK1f98vfjw9G6wEERzUK1FWUszBuVNCwVZ5ft+CZcJ21Hbd7EzXTQGSllszaQIaZvg6GzEQscpVc+dhDV/LYv3tq9J3X7zdyieK0dRp4y1txHM8xOgLgdW2a2kANV416rpd6iKqvxCIfPKddRIMAPVcyUCaTATnIsDSBYz5nOPcsz4UgIW2cZ5gH9BiThX76AssYCnQLsASWGl/JO2PhlVnaLGZFsDowwAhWxzbxVCyD7CEYApkK7Veon2rwYWfDzAhLjZoxAbHmpiVWDt3HR/klaDMwL0292Z7gInPwbGZwesOBW+Ce7MBQNLPrdGizvusHIDNCZipRVajboOFrgxAtmGxKy65GUWLLp9LO1/7tHSD3fiLs4GHAeqTGd+pkWdmgu1htGQT4wTWeMDnJ726NFkXic4oGyHomCDsT6wWy8ltjwKR2IkgMgpkkJdyJgJIDTQEFOR9cAC2wCK7NzR4AkvFUvS3LYPHfUIyGf4okOLAQ2JstJvZQ33c+FwIrwaKiOKo8FqwD2uzi5Xkvsr5+O22NYR/8G/Ss29ZMsJjwquzEi75aSHgcWnze62IdCG61ktXbIJ7s/FAgmhNX7emUbgIImsR8uUMX2Mjv/Wk9G2X7ko/QTfAn+4BDDTKSdkIMkuRfEYgihuZ80s0KkJjzi4Rjh3/lOFgoGHwol20r6BXs6eRTCR+2HJl9DzBPKC/9KnZWhv16fyM6McRVkOLjmiKuV86sIi4hhlYBps7xdpW2BbuDZgJIyouskbbbJeveYIejxP75v3knuKtps+zzSzm9mQlaCcDlL3/7JH04//579Lvg5WwJGMdCm6JrmPdG2vbPIZyDZzBhVYTmHhYbDiQrMWt6SOyxtISbzPa/hQ1zILux6XQUGVLFCUbwY3jAt8jjT1uMq90zkVpHA9t4vsizEuwA/DFbwiAyqTyewEQ3aYLcvku9iVmCo+r2zrxqDjFP4CrA5eH58pBWRu0AkrY9kRgomFhTRKrXZxWKUdlTnUyGVfvyy6SirvBYrJGYx1XrSSfhwAjttk1+dALbkjfVCeouXsjoquWY5xoVvAGuzebCyRRvEhzR+qaIyjqbCHXmSOWBu+Fi+DWXGSzekMfYcj3ZY9Ml3/j5el9cHGzm0ADHdjU6jwXMfxR2sgoNhJ2Whg+w8a1S+PABBYSQIF2MQlP/wrgaLhjo0CkYFlxbjm9/hQb/WYdDudPYVSNHMdTABkLJmGZZCz1AMckP5+XA2OHawVWEjHgHAoOo+4btl0LK6nPkZ+Flaz88a3pOW/45/QvQ6Hguy2aY4DiFectfd6u29j5N0PlBc4sIBk9t6YVrdHcEdZjLTJZQ2RdMnGVleGPz6c5rX7mRq7GGO9p/DkhDOAiYVgMVrIJspGt1Rq9o4TbcS7NOF0Ex3cKG//QX11Lh2BSaDrCYNi+s51GuYHNMvJT2a5npiK5LQAksxNxb1pg4tvi6c9rrK4IDbTWS/q6OOOSyU5an1GeMeeQaOg3gCsDVfQzMK/od45i2T6sorZ9IS0NVZxviK59cko2K3qzTkZSAsl63RqwkZ1Wc8TEpNktmKAnhYve9rz03roWqz7Fa1ch54mAJQRb0Tkvk7CRQmAN1sHjeU5JAANACgltWlMkayAxujOIBPgp23BgEVDMgChg4u1vcCLZqQSKPseCCAt2UoPIKGaiSWQEkJxdGwyDx0YYGu0zi5dgoi5Oju4oI6oAgEZPQCi0EvyukVdS6D0CfGxD2zRwuunF70lfqYWPILpaMGL5qM0KBiupc0pOl3uzeUBSuTXp8ZZsU0VrfK0ayx0BI7Gn7MydJrRmt8bAZJcBCTJZf+Cx6QnPfnB6F423Flm7jM8BRNgLn/4uhJpBrpeN5CiNDRi0Xbs0zJmodREypxr81D2rQQS/qfWcPkZ5f92HugP7n8XLGLG1ANvlKriBBoirkdYuDqM4mcUMCM5qZbSKIWm+Ct0oAFQWdOW37j6xvUb/6/wSFV3/6rb01b90U/qEuzeRMu+ZrubeXGLLVhiDW1kw96ZVXmAoenO1Pfa00vwGujfrAJJqkl41t2Y9bk3OZI1ZvphXc958ejkHVZdboy6NaxZ4utsZZm0jfAvc1K68kcxy4o23aW0ANJipmpkD2Ui8no+6rgFcCnbaprKocQyE54P9EAE60/JCNhukECaGwfOajQKTPtqJ5vLgYYLMVF7TPD+GLIHGj89wTehaiYtFAOF1wGfMwXENLX7jICJtEFSwS9FnYScKePuPpde94m/TzyOXBEWPikzXjXRvMhKsLXqzPiDhHcZVibBvcxnOaqYvq6BptKbTrbHw7/XPTh+2jl5UA0ncryINniBDkZWAAqPEyUIQPcc0BrKRwImRYWTVRii0OhsZjJdBlKaaR9NyabIbI66Kgh+BRV8xwL162jru1GYb/Ga2j+sDl0HBRPNGVHdAP2jcBUMhI8H3ch11Pg43a24J2Uln9CiMn2MIbUMrOWg6D1wjajZMdGslqA0xqaqPBqa3fNOfp1XSFVMAACAASURBVOe4eyM5JZO6N60ZwRsZBl7H8JxQH7GckdZM33mL1gy5NZygZ7kjP/X49PQnnpfeOsqtoUEPiawwdDvDzE5ixwuMOSgGdiV50WUiKyGz8TaRKQtgCoAyxpR9+gxwAhj+liwpLE9dG++D9JUoher1ZxsTqYEJzMSrucNwhTEMzZmJHzb1kjDQwJQseiNRDffBM1Kxj0zqy+HcOGZfVgKmg3uZ59vEexzbdZO6n3F8B0KCE8ZVvP/4venFP3lj+iBySoqJfJV7U1ea54zgkct7bpB7szFA0qNkgId9Obfm4baWr8z03WoZrftigp4uM4FozVueZcWLYvlNt0UY3MAmB7YWb3JIFsYKNyRAxEXX+AHYiBZz7htGzoASx9QMVrxHlTPN5Wi5Xrm/cg5ortBCrH8EK4x0MKf7W5JZDQIb9dk1ExR7DgOrmUhLxHTDjH8a0VFWghwWTO6j8Irf1KyEjILG0goLq67BBcnJShykajCJxngeOVrDPotlWv/e8c3/O/2AJqfNxbIVey2n5KRN4mNy2rlHogxjx9ybkaUF/Jin07VZhz4yaqYvktCu/7L0MbvI53FA1uyhyLGQJ76KrOqGQGTlQBkCpgAp3x5GrvkhmTUoG7EdnY3EjW8KrA3wGGIj3CdYCYTVjZ7mv1FGfbraYXYqmULBTmACZAGBHv5CBhOdroVX3C9Pn49wbdZK+FuAAMEr2iJAdYFTTlCLY+YaL2Q9OJywK+xWgFMcW8b8gRf8efpXcG9GzQhmctqaw8CnBUhWOO/VU25n0jWDmb44+UJoFX2kWTIA5RQRrbFXy9rzSXqc6TtxtCaM0IVRAIEYMAAHLsKQyBr7EDxqA2+ykQAaHAeZpZien296BRoasakjMeoy4fc8FpbozMWPTpfVnqHHzTNuw/hohBQ38+faOAPoFVx4ikXGqxq/sggx/FERIoIMRVd3Z4R94K2yn2ZIOwCrFb0pZgSj6JHNvdlu0Rstw4jSAq0wcL/KaaeUkYzXR678lIHKVaaMA0gqfcSzWaNkANyae47aejWRzcokNMz09bk1u21uDbUGdWuEPdRujRsoQrKVW0MDzawG+wF8AkXqMLJGfrKho80AErhQ0FuUjdCFITDVjGmIiQT4cT+IwFbcafo34gpwXV6ChjKUOrLTckdo7LxvuPbQNXJpAQwLBQ77PgumAkiaBOeDiOzHXgl4Y92baJt9arEc9OWzh9tzbxAGvmBnWsnujZYWsJICqpMkq1HyqSvTymZkuYonNsnY7QEke9LMgZsNRKykYtZHZJJeXZcVtUc07DtnxZ1/99+k365Xzyu0Bnn6Z6OHoYdxYl/NZEV4Vk94SG8hoMSlILMJiWXQFgDMGtH5NFlrqVyjLoBCJ7JwG6DENsCY1nhTJrmB9+t9PZKDpTvD5XCWEcbPzNJRT/oaSPC5YCUBCnXZyWK2cOXm8Pi8sOgjWAldqcK9AXhURY/GRW8OL6V3fOsN6VWI3GhxaKx9U1eZBxuxGckrWCe4NYnvzASSDdBHtpnQuhCV0HI2q4V93/6s9GEbEBe1RNGaPThjwD9xa8gisG8zkzWAqIs96HKeClTuNtn/LkCJgBg5WRshGNWgQjYlrEpdHbQJJtJaae9+bfWb1HkXSU18LVwHMgIyCnlFN+pojk6+w/Xff3zg/iootfJAWixHQ9IEqpxTYhuKfBX0pYreFP2TfnPsW+Tq8990Q3rmiuWTcHlP1HNFlfkTjUl8p1onWdvDr6GP4EIMVUMblz/S0Ec4Se+lj0yXvfDydANdAR+P4YawTiqBQp/wDjB84gMoIIzaZ3drMK+mYfjaHkFCXx1ECBBo2z6g8li9Rm/BluJDBryahQSgEEwQnYHAOv3rfwWQRQphU5/mKsCSnSjYjIqOYE1h1Jx1IwfbAWsQ1kMhdkgYDXahwIRjep4KijixLYKZfR6qhSIuU64SF2OI5/T2W9KzbOHxW4tJfOvQSXzeDf6uq5eqmFwnWQOQjHdrumqz6ip6zfwRpsWbPvKrT0wvvGxP+oWmPgKAwL/6KW+fkXPg39k/RmuYEq+h1KZbY7+hYWfBNmhukYBm21hrpG8Imf2tc1Ko78ClOdvzRfpDyGBP3Gs89f1pjueMjWZ1beqoju+nLkm85z0EKMFlIivB/losGsaiy0zgexqQulc8D7bHEK+6Sn6Miv2Mag/73noovfp7P57e7vkkI9LlNZ9kTbVc/aQmA5NNA5IrbPJdc37NrtVK8Z4/YouBe21Wi9bsRiU0Ln7VkT+CUyRb4PvsdvC7ABmd+XthnYQW+3S113Rron10AHoL/zpzWwTUlFnlSFB87+vcPEBn804KDpPu7zkbcHECRGr2kfM0AkTcRPTpL5/xHURXFTwLkdWAJheSjo62gInngMPcE0CnyWmcd8O+DoWxowG6WGwPOslLTCfhchWHzc3ZZkWioZPstcXHm/kksdg4593cbJP99myC4LqxQNJVfwSJaF1CK2uzGoBQH5kzUHnr1ekDhtoPycbaYfhZZ7DvVR9x4w6XRPWRLr2lAJRwXxg+9tdwkXAMXeBKwSy/j742WRP6GX3j9xr5mdSQzvb9GXGpn+7KEGiQxSuNVRgKNsG9QfV7dW8y2xEwUgDRjFccQ0Xg1uLjeQJfT52E9xg6yYvfl56xZOChOklXLVfqJE3B9eqNncA3OZCIPgJDuE5zSCYAEiSiYX7NkjEXj9igbEDUZn3Rw9Llqo9gkNBdGdJHYJhx8ybRR9ieGz/1jLhj7tbA2OO4tVuDBDQSCBVZ2bdobjVrVY8RLIRgokt3nu2gsNbzhw5xDGUHhJXUbg7aLrJf7bNqEWQpKIWCBLXavXEQgtZhb2p9o4vh4DejdBJNSlMmpWHlGpigk7zts+kWnXcDRjInZQXqxLQ+QHKNpcoXYDCzqa5NqY/UQDJq2YmhiXojhNafusrm15xv82vC6DzkCmOMkVYbPo0Sg4AsRBeuQjZrSx/pYhCahJaZTQALhDPMf+HfuBByHeblZ4Afblwdkl6rMZ3Nv3NW0tBKlJVoUhhdF1yzlraBeT0Q6Akc2b2J/QsAoM4RN6B2R1Qn8e+ChTgg4XOAnwMd26hcL81P+fgBm3fzUZt3owtojRFcx9Zxvc5KuA4BiV8dmtzY4TUhIxkvtOKIXlpxRMSmJbSaeDmbUH/EhNZfe1J62cN2p5/pK7QOGb71IesjZrEXWphWr4jqFaq3ZKGVwBWukU+2syu1ZEg1VIs1wIugVCeg1eIqj4dzm7KRseOz9w7QShAS1uQ0N9IwVnVr3GjFpalDt8gpAZOgewND1nZyKDesZ5xOApDDfa8XzcouDvpCQNJ+EegILPaqgmsywdVcp8FKfI0JfOvLcD3NQNKV0YrV9Gxxn1zISJfk3Bo5JACSZBP1Xj+q/ghAIlCBgFDnj6j42lcfUa0ls5o4FlkHogTKbrJbI5pHDSg5TZ+ghDYDfKaRmt44MXZHRnDoIrQAhQDiJiJGmoHErX0QUtboTeEyCQgNuSMCWi2dRPtW6yQKZkMumDzu9y9YfZIPWn0SK78IIEEuyUkAib1uuccWyLJ0ebg2Wy3D9fh2r6a2sh0ZrrYS3+7L0gpmAm9GhuuGMxIAyYGI2AylxkvExpedEKF1i0VvDLHnrCDv3O9/aXp9kdHa8dRXQGHhoQwIIY76bF+s59tyk7gtjBsDDL/3f3FMrUWCwXpRXm1Y2sS+8Y9t8JWglnNdol0MFgDJ9G/jroAngIWOkY1WAKMrfb7l3tytyWnWxlyIYgAAzuZ1YIruuyGpmyMMA2sQH0N+ivWtWHDcPrfm3YxhS+9+2XvTK5GYZv7B0qJFa/JC41HoyGcCn+JU+U0DkqHU+JsNOB48KKt40soqHjOxVdf21YzWt/2bqj6rAAndGNUmlEFwOwsb7bI7vT2ABPe6pWloPkoh2AbT4NwajCWtDp/BKUCkZkoEF9VJ2H8kx8FNmv5t3BVg4egCREKDKBiIMAcaAF0f9gaV2aC5eVvcny5OgElfdwRC8FEBEnWzCtdL+lVHgtgvY0s3v+iv05fWGa5cpmKHlRSw8PCKC663GSu5wib11anyJsxu9JybNQMJjKSI2NhniK269ERXxfiidEAVsZk7mbZe/2/TpwDWnAhFg9SoCN0KZw/BPiiMZh0Cht8htFIzqY2fCW24cQz7YkDhGNRHukLIdZvq1uSiRQFm55/FVc82DjrKlnC9fWFv1TTIUGKbswhqDvo+GATvLUAJYeAsikqoFj/XhLK6zRqUtKwA2YaDEPoULCVn4QqrYVTJuxtul71fesFfpCuXtloxNqmY5nNuJkyVr+fcFILrgGJxSI+9ZZMByYSh31FAgtDvCYvc7LBlOWcOGcOLRcK/88p05Vc8LL2bZ9CZ7BUG6aChQBLb6aLUORrUVYaMnjqHXRFlPRRtXR+JlfMUSByI1EWKhpmxWief4begs9Bapn8bfwU4M5hsgYZbRG0qMFGD5b1l7RMHjDD2os0AqJa7VIu3aPMezC4mOxK3py6/2BW50RAzU+VZUmBlT1o6dl9a2YaSAlFZvk9tkrrI0XpCwGsGEq9Bgr9rog5JI4eEQNIV+gWQeA4Ja5BYxOY1j0tf/tjz0+tqICEoKxBkNwasJEA7C63RQC6rGIiefx/Gz89oH2BRaxkEAnznoBTHaYWkA1P8smiYN7teAVbTaM3GAwhbZKZrnl2LWyoMpUvIpOuTQ8O2QSfxaciX7IHRGwUYf44HUGhpAQAJv1NWQs1F3Z3sMsVJKcPB+5vuSS//4Y+lv9TaJGAkDiTjapNYAenzrzDX5pCVE6iS0nA4W253lYVMkEsyAZC0Q784uBc06gskF6eZo6aTHDeNxFPjjZmca0BiSOCh364aJF1AQubB5DEYLefJFIWMFEgABkg6I/jEDdOCSH4828ddHbtKeI/Zvvzro7XU5QIIStPqZ5sHJPWsYBphNl4xdGUOBBI++dHDe0xw5cQ9z0MKa+HbYmnP+LrDHfE5QRhL7hZhkh9ZCdhOg6lkYGO7cWz87vbD6ae/8+/S72DOjVnO0n2W6eohYAOT7aaR7DR95PBdaQVzboZCwF1AghO+rgYSh75VYBlx2zYMSLqWn0BVNEzWQ4o8qsYjh8SX5gw2AiDBjF+wEgDJ//hX6Ucv2pm+o84hqYFEw7Xu2gQoAB2oc2AhKSwo5VdCGUhckKypACjAamIfahvYDeCCzwAluDYZSNBky6UR14btZ63EfoNjYN6PDtjNM6uzr2VcX3cjJPFL3QW+b7okATK8apqYlkGD7MZ2yiwl3JyhDFe3wwF4YEEuLPzlQBIogRdnJFWq/EhGYj+6+2h63X/8/9LPAUgWDURQEDoDibESLOWJtW6ak/cESNA96CTds4BPIZBoecWr7bi3VcloCiTbDEjyGr8VkCD0a9Gc2Tc/Pf38udvTi7uAJAOIGGxRg4RAYhe8VTogu0wBPJ0RG3wfIIJjorjzLomyqEtEAMJlV/G2pY9Mw76bD245DBzAULsS6IECCZ+mtbaBeidY9MoZA9oCkyCABJOoIze5LQElbPOIEoDEfkcg6T3nRtuyxqzC4Fu/+YPpR7DWzWJkuNZAgjWBTxgjQcTGrsdKPQv4webavC+ABNcjL+W5xqry62YkfYFEyyt6MtplNsfG3Bswkh3H0pa5c9IsJuu98Znp16zOx1dzuLWe+jDinDEqbCSHWcEu7Mys+nyaN+Mfx24ICjrj10EBrk285oxWdZFC88guUnyn4V72lceY1h3ZfCA5ZEaL9WW6BNciWU1ApdY2WDUNjMHT2QVIQFMLF4WuSpweXSp/ptuHBeuTzd7NhaQ1yS3npRCcoo1CzxFLzdXSYvKeVSBcdCAxt2bLrYOktHpx8fsVkBRZrbemGYitZCQ1kGgymq7xy2Q0XDcaH1lE62mvOSQKJAAAVBzrAyRstyupDYCS1/SlOwN3KFhLBpIYALXQqn2c5o9sPpC44BpMghEX3Kw8ZyYGl7oQLW2DS1UUhY6EkWhtknHuCIAEAMf5NQokWbRl2x1AQpuwGcrv+g9/kb6nWBMY822wLnBHUloNJBud3bqhjAQ5JLgGmGfzINNE7viYiar2ngWNWPC5zmqtgOR3Lav1WRlIYKx0Y+rX+I76SDZgMJIeQFK7SZz0Vye1YT8VSDWHBeerwmvhKsl3dHN2A9ymtUc2FU0AIgCT7IYEK2DyV1fkJudyOI0wVmODyNfyhWsDIAqBhYDE29h0k+KYykgAJDlKgzaDxeR+VQBSJ6XRJowp3WDZrf9hUiDZ89C0coe5OZ4mb38euTGNBO/PDNemsWD4WoHkLc9N77S6pU8aCyS2gyajuUHbP0ysY6nFcbN+CyCx9lykDcZB8RWAhP10Xsy4iA0Ziro4BBLmomyqJZ3ljXOuTBeQ0O3Q18COXK8Vnzl/R4Ek/8beOJMIpoP9i9T2CkjgaiHHxfeBThKRG/9dgBSBbEgIFrcJY8t0m797yXvS108CJJhv86Anp2UASbrRZp13hIDL8K9fFToEI0fVxjCSnkAyvzPS46t5NspI3va8SI+vtAicRW34CiTKIphFysWw+rhJDNXS4DWKgwGlmaiq26g+Qlcs6zcKShhzVTtnub1v2unj+mPG7RCQiEH2EUnZDmuT1LkkavhNUIrj+QPOnkgAEuozWkW+L5AwL8VA6aYXvyd95dkDJAYYx/evujYKJNtswt6oyvGaHs/Q7SRAAl0DtT74lOiltwRYKSD4IAAAoK0Y+msFEl8Hx3JR2M6mWdJZ3nAzVV4YQ4uR8InK7/zBZQ0dkBquNZD4vhUTqQVSPsQclLh2TjAQHmsUkHi/ApBoEz7f5t023wYLix+0bsYsYK8oHxqJz7c5mpYtArqMqM39kpFgwl5OjyeQ2MxfXcumC0iuf1b6e0PtPRsBJEyPH+UmZdAYsNTVXBJJWANVRk0TDrY+QJKZSgxI5pLo7OGz3N437fRx7ZFLUsy5CYNX0bUAlOhNASTWENpBpC2DhoaA0SbsnIbOY8i2zQASA6W7X3hD+pLm0hQKJBb+1bWAdy2klSMXm3x4f3Ft1gMkf/is9Em7azn1yx20cBEmZSRI/CKaqwviT5vw/PoCybjyAUP5KAFMDk4MUduHKZBsGn4UDaMMgCalkTlMAiTY9+4NAhK0ZbVEBgtjrZWR8AxX0olvvCE9ZgokWOu3w7WZAsmpMbQH8lEA3pgnMwWS+zkjwTIUu+6yLFZUj5/QteHqehvh2gxpJGAJwUQmZSSqbazHtVEX6YFszKfz3HK1NKMh6noU4iiFVxFgQ47I0xcwRqauzZkQtVmD2Po/n5Xe78tQSNRmra7NhoqtUj+kD5AMzSIOF2cqtm4+xDD/o6WRUOvoFbU5Q8VWX77zz235zge62ApG0sojmYZ/y3yUzTeps/MIa5kB3IzaRBj5TAv/dkVtRmW23i+jNl1A0iezdV0JaXbjNc39TExIm5YQ2Hxw8zkymGsTUZQcZtVoSpVTkt2a2AefNyohDW3lZSlwXBun04S0GAde2OiaqEVi21hmEV9PU+SjLEFoMhpWxgzi7dMU+U1Fk6J2K8FD9JKhFPlAkT4p8jlkbG+mKfKrt5GMrseNHb+mzQN50t5uq2vCOTKca+Oh40aBpOmkvR7DaRN3Qe0P6CS1RpKZSSR3nMpJe1ifGGUJppP2MIMlIh4YAy1GcrVt76pHslllBLwimuSZ5GJCNlhOZxkBXKNWPZKtNpIwK3n6t3lXYFzd1lpwrSfHUejPZQTAPuCSrKOMAIDkyLSMAG76+oAEFdJOdWEjX9MG9UhizPaJtnDCH9kGJ+3ZRMKEmbv8YyKbX5kADYKHblO3BsefFjbaPABhy0hFj6BfyUrCvcF+zQppkqGKfbSwUVHVLHQOTZkfV2d1Wtho1XSajARfo7jRA77Uop1nseYvACSYkAJIzr7l97bPtNTi5oOHAnydjJZLLQaANFPa7TtNj0d701KLuAqnKI+EQDIt/jxcgmBa/PnUAQiPtJbQr5tLA0i0+DNdG2czse+0+PPq/Z1AbPVHbN5/05ajeGx6zmMvSG/q647Qdaif+sxg7VqOgixCXZRxy1EgK5XJcVpMGm2NK26U+2cHnC5HsXkAg0JEqP0xdjkKuw+ZmWh2a7zHSAeQdOWQ4P5Pl6PYACCBARYr7Y1YjgL6yPZDVjZg62DJTqy017VA1ksfmS574eXphhpI9LODgBjvKVsgK1btA2hgEGZtpOXixDVuCa7TBbI2D0jg1jhABCBo4WfPK4lDFyFgmd3LeztygaxwkZydxKO1VT6AZ4k2pwtkFfd8VXAdAhLb72xfstOZCUAuUE9ZCN4rAGp9k80zq7OrZSz3gNBvTkQLUZTA0lqKIme0VkJrq/Czai3TJTvLsTWZa9MjcoNckgPn2xo2VpPEqlvP7O2auLeBi4hzWU26KW7MmLpvZ3emLiLuS2VMw8AbinSIskAjyUBirQ/lktCNUXcG+8W+7FDnIuIjIjb4ba214PijFhEvSgpEH9h/b68CuEkWEddaJPusFomt1rCyG+vanEmLiOMkm9mtBiTpqkF262FzaXb3LAC95aSxRFvbZsYWy2Il+UwN8aSPp3xXqLWrAryHgLFIFt2PePXm1CUhY0CURSItXDMH+0NDGVeXxFkHGQnaj/bqSXzTMPCGYog3pstiFmBCQMFGux+aN9IyfmxDPRPqI95W1Fhl8ebs0sRp+BO5obUACI4aS8KaNkMFpKGzhFuFnzeLSA8zpXdb4edXohaJ+QdLi1ttkawxFeQxz+aw1WvdzcLPH7XCz1duXOFnXsMJ7uj4XJI6u9UQ0CvJL0AnOW41Wy8Z6CS+ts0Flltiy3ZutbVttthrOpzmjs+nud97err2vPn08gwkavxiqGQgnusRGaZ0J6hNbLEbgYLL3JfaBhPXqL3kWq0BWnVlegKJzt9pZbgGPq2uuxNg4oBCsIpjaEHpCW7CdNfGFRgq+DzGrWk+9XGT7Qu2lYHEttUV38k8ugo1U2vBfrZsZlqErhZgkVlSAFRnlbVBd4pVGa040ute8cH089sXbMmlKLF4Mpbr3HLPYE0bLCC+9c60YqtZLs83Fsfa6KUoNgVI0CiWpXBGEmvboC6JLiSOZTstUWzmThQ4uijW/w0gwbKdv/ak9LKH7U4/k1lIBSTqwmiR5lqA5Zq9iLYQMGjooxgOM2Wz8QME7I6iQn1eKCsGM/tSAAiAgoAUgzNXlBe2s8OYElyc6d/6rwCWn3C3pgEgdckAHK2o+N7QR45F5Acsguv/sh1Ga/owCACBC8CtymgBFK3ENhqnAgmOf+uh9Orv/Xh6u6/7a0BiIDVY9/futHyJgYglvuXlOofW/b1ssBQFlqFA+xu1FMW6gQS90chNKymNOokCic1bmTlqS3YeB5DYq01/nsXav1gD+MTWNPtTV6WnP/H89NamOxIGis7nJ3w89bkujQMKGIpdeBjwuFnAY4Ep3BO0h4FVJKY1QM77Vrk3fozYrmUZWTNl/aZ09raA60q3RteuUb2iWOpBgKPWNHAVNREtL2SFez/C8N21ie/xG/7lWb/8zhphHznvZshNit+zb9llsg0fP5Be/JMfTR/cFkt1Yu3fbXBtbM3f7QYkO+318MlyAfFCH4llKAgkXM/mGluqU7odBYr7JaOtAUjcivPxaiBpJaVlwbURAraLMLMwb2ACIDH3ZtaAZM7W/33Rw9LlDAFrqNWNMVyYwlgDXPypH+DBfcEkutYAJkvJVdPi7rveQlcETCQQi+6NuV155mfXBL5W/7gtA4ptwExgXVP47IWDtZ85SgZA0NTV6/heNZGhWb/UJ8LtgMHiYXSvpdi33BoKo/X6MwSOGpTwGcwG/cvMxrZxbZuCicR2XAVvP8AOb9VNeuNN6Sl/ene6fWnRvHms/RtuzfyCLddpbGSnLdsJ12bewOT4nsHavy0g2Xu1XZnrVxfGGgaS/iCyNiAZFblp5JJ0AYktGD7TteIe1gB+69XpA14pLf66XAgNtdY6CcFglE6iBk8D57astwSAAZRwDERb4OJ09a1mOJ1uTgwSVrtfuymdvb/EPcYaNhzMBZjAHmmQ9WtcslqDsOUwB8t9gjmEW6Mr4bXcmXrSX0sfyTqIMptgJxk8CDLsW+VyoTLai9+XnrEUa/5yGQotaOTLUKwBSNa6MBZHXsFm+g3H8YLrIYvcXGEhYBQ42me1W80Xm8lLd9qyFDb7deaICa5bLQS8z6I1YCQnDDx2g5HYewOZ2bc8K/2izd59fjbWcCHwmW6CuggqlmYACPcG+6GiPBlIbiM2KIDQ6HVBcdVh8D2wGqyk7tsQwxG3R4GwTlJz3WWqlfQbftVeXWyEANFMQKtcB3VFMOHP2QBABEaP9/FaLxxOAMhuTWX42I7K8dRtcuQn2sb3fSf+4VhYPPwlN6RXGVgsI2JjWbzL2wxUTphrs9eiNyeNjewyELGlQVdy6FciNliG4mYL/e7Z4IgNQXzCG9gPSK5iCLhaTBxZrocNRFqCKyI3uyxyA8H1V5+YXnjZnvQLfQXXDABivHRJACxdOkk2/rgKZDju3tg2rppXuzdcerNwvUYAUxcrQd8w0M4z4ZVPtglvyFm7e15Rrzb8ARYMsZEuw+c9rKM12N/n09jNozirC4erAdVuDb5TfYRtcT9NaGuJwUNukm1QofVIRGy6hFa4NFgYq148/KMW+j1DgAQXtppzc81gLA/NAh4RuRknuGqqPMEEo8MNstZJ4HIAQOzfJDpJqz2Ch77W0Ru4N/M2wHaZ8fMvC8ODcVdUqyeDwr66JKgyISzChDKM07/+VwCLcmNeTVGgSFwYrXjWJ3cEbs0C8j3CrcH4qKvQZxYR3XSDV61F2E4ffWRIb6nac7CKc3r7LelZf/DpdOskQisWxboTiWiNiI0LmaF1+wAAIABJREFUrfi7znLCTGzNV35mMn1EAbX/3fM9hZVYycVrscnAZFQ5AV+aokNw3WaCa2v5TlaUH/fU79JJ0C08FRi3R97Gut2bYDxgEq5txJXLQIINBDR+F8BCgCGw1Kn0ewxItpGLT3hHzrbd63R4nH+eVyPGV5cMUDcE98k/xwPK58MMPg65NS60hpvDNkaFkLGPMYIcWcwh42ifa+6w39p/71KAB8f+yMrxI4TWDCTIaO2I2IT9DkxjcEHUTHoNLV6TXjuv7jTevfFckpsbqfIPH+SUUCdxwdXySjxyY/+Om2uzZ506ieaTuEuCgWKXBkCi7kPWWMTgHQTiM90bGr63BSCx9vB+KKckQAY/zyykAhW6SjmvhPvGrUM4eI03ZcJ7eP/dHZcKRqqiphp/kb0aAKPGSXtRbYRzazzTFAewBpl1mt2RAPk850bYB4/Pq4r7iz76Mex9bossJ/o1JAZHA3V7qo8cMk1ke7g20EcswXMZiWhZH7Fozb2fsfV+L+yI2OwbPE8Z+l2v0JrxZ/Ih1QNIeqbKQ3C956hluEZiGkLAe0x47aWThPFpPklOaQ93xw0XxmyfW+nyfBrVLKJ2lTKbCKBxt8QOrBGXmpWo61KwkQAc3z9AjuxkWopx/GjEPBhkiuIvswSwi3iKZ3F0gAer+9FIw7gJJLgPzkbCRdEIixt0AAGPR8PRMK2bphxf0+LdRYp/LuKi33CfonPjgKlORDtkAitCv9RHLtiZVrLQahmtunD4ZqfG826t/eHX0Eng2qDhIjFtDTqJ55NYYlqtk2h6O45DvYHvyTyyUAoModHi5tm/ce5NbfA5whJXrBBdDUigk2hVeP09fjIqg1YBUM8HERwNL483rbNnj6JCPA0xgKFOV69dDwJA/bRHuBf6iM574XIR2fABEgIUZCneZmxXo6Jbw/3oXuNzXorCBovmtowKI1MfWbJIjeeP9EhEG6WPoK9tRjK5W8PrusZRuLE6iSemxZwbd2/OsWt8NM39zy+Llfeil7WoySc5DVgNn/uq8UPQhLDJv8K9qVyTzEqCNRTh5gAyXPbzUfBI+kdAcyDhP2m7Fly1Xe5fR5nWeJMeUD/TFfQYniUo5Fca5wijd20kQAjXHglonrVMtyPeEyQ8n4SMIq6o/5zHCDDhxYYuhwJLfEqPc2vwuwL0qvZUHzl0UNwaS0YblYh2qvSRTQOSkRmushZwkU8SQLI0ZyK4MZKdBiJLF6aZN31xum7UBD4+8fu6N9sRbYmC0ONE3BY44aLVWgmXqsjtCQviDONg4jmi03R1BHRwnFrTeUChwoQnA/BFdXhe4zraUWStCkPIzKEyerbjpRnJRsI9ySHeAVb0EllVr8G8n+OI/kR763FrcJkM6N708o+kazC/Rt0aiwqt7DWhtZk/0qWPVBmt1+IAjNgM0JFDdaI7tHbXpkdtEiSm5XwSi9hc8rk0s99mA5uBeASnM59E5t388OPTFz/tQekdNLyWe8Mnfyt6oxqE31cwiDo5TQ0fxhyXskgcC1ZCsRQhaIAXPuMiIkGNF9N/H/uzb96k/W/IHRPwqPWSKZgMxjKFSx/myjSCKSgrwT756S7gob+N2+Og7mwkfuPaiOaN4PfBcAgobMdf+U+sCG993k8cu9BwcJwqm5U/HeXW/M0d6fmvuTF9pAj7dkzUK/JHHmph3ygdsFn5I0SbDQMSi0XPmPrrIWA0PpFOEqUXd1o2rJUbKObdhHvzlxY+u5ydHufeYGBo+UX0iCwCouse0yAsIzDrJ+gwgYqGry6T1iTRiA739QiOuUyanTpSeBWg0SgOjUZf0Tckv52tyWq43jB2/g3pIPHFUChWQSRuMAGHbUFv8XR4YTBrYiMCKJahnQ7F3BpGfuhKsR5JJ/A1gMncms980w3p2ag/smRujafFw6WxaM1Ry1Ldbu8xv6aeqNdHH7F6QqtshMh4WhgJLQmvPfJJJpl34zrJkqXLW5brG56WfsAKCn1vDSTZXRAGgZuXtY0ACI3A+M0N41QONxQKVlaCNiXdPrslYBjRKZQeYH2R2mXSfqqLQ8Dgtsyo9HyifYAJcxFWzeqB/Q7XFLU8OkEkHoMFW4idFTTUcHlvcN+QDl/kdwBQKsbjkZxgJW5rcswamPAZ/cXEv5wNaxsdqMhs4nMRoh7R5t1H069+64fSL6H+yL3myuSwL8Bk3yDs23d+DbqF0gFZZMWGwq3xM1Sz6D3A1sFI/Gp1r75XTeDDvJtmxTQrKXCkUZ8kp8tb9OY7r0xXfsXD0rtpwGOjN9azluiqk/qQks6nD92O2h3pYiXeD/uXtRIbbGgbkwPPMYNXwBtyceI2sQ1lVy23h31Am7VQ3Psu3w93pGA5CkQ4eBUo8jZhGczl0LwRhpAdKCLXqM4bcYBi1ireN9rUkC+ybKHjMKktV7IHeMBEow2cU99ozf/92fS83/pU+tQot2aX5ZFYrdpm2Bfza5iIVs/43Yj8Ed6fzQMSOwLcm0In6Sh05OnyLffGWMlcRG/e+tz0Z5Zj8Vg1Un26Z5YQO8AA3b1xkJXU9Ni2NVLSW6zEIRL/lJXEZ7hGGmVhAhuBRdcI9nbsC28GVzreE7gUOJSVdDEUtAWgQt8fyH85OhMnWbszLQbS1EXimtfMoRBY49Y4ExE2wkhNcSwFEvxOrAdvfSkMiKz4jjkpbBOMRHJHmuBXtWnAdNOL35O+cmXnxrs1w2nxPkjXxEY4vNcxJktG8tBfTtvTQ9OOrfNp68pCmjmxIy0uHUjHvu5x6QSzXC+xvJJWunxdVgDFjrbazGBEb+De/PZT0nc/aFd6dc7LqIxSQaUWXR1IwqjrTFc8hbTNSVlJTniz9ulCXWDhYB/D1ilnT1VfmQTn2wk0AV64GV2CLM/rgTxb2DNM3TcoGUDzCR4jNxsljTaupW8P41R302f4RvuOyWAM8lv+bhwbyW6O/QDjaiiTNZiIuzEdIqtjkR47wAltf/5g+pnv/Ej6Hbg1jNbMmXszrmzAxGHfjASnDUjQgwGYXP5HVjhsNu0EgKQdZgwnBqLrioVz5+bSsS3H0sHLWFleywpYHVebY+LuzckjFs2xXBJmuWrVtG99VHrE112W/hK22TdsC3Ch6EoD1UzXbdZDzG/pw0q8rTD8HGqOgewuE74LFwd+NzQN/SsYkwJLAE7Brqrvi1yZ2B+5MOj7A4Wc4BwxCY9zoxQE+OBvMRFlG/yNuhtCGvx2uIYRhg2XxvNDqtR3ZrZ2zaXRY9IGsQzGCbSLGxnAlJkUjxegxj612pcw8srrPpm+5M8+l/a13BqIrFt3pZWWW2OewGrF+Jhfs5FlFcuRPfhUX+fWPmO2rcxc/s4BiDhwNIBkxUBly4509IlXpINddVzp3uSqaZqcZuzEZmXOveO56W3zc+kp7NBIgRR9ofHTWIMdUDjFUwR1SpSidoVulTmwYr26OP4+2u+ah9PSS2oA8WtIgKrYCkFQgQ/sRDNr13ADT/tPEDnBTFkyQz6l6yQtZSU+eONJzoFcfEYjwQh5gp4Va/8KLQRtkBHg1X5TLMUpbIHHrNtFv+8xgMqiKtyaaIttK+PRUG/ue5wP+2ru14ee/570IrOrpWJuTZWENi5as9lhX/Z33UDyuLevbFuaTxdl4w4gwWewEjASvLcLMrPl3rT/IRelxT7RGwulztiEJC+/yLk3XhR6lxWFDmCoRVcCB42Rht7JSgb9StA1WqzEt9XsAecFBhIGz1d1cXBcsBbXM+QKN0FKwaICDp6HAoiCDL/HwLciUEXG7mlHhx4dAPuwyWjuFuhTWo0L78kYMuOA0Ynh8X1mLg0QOWkXDgKrRmmcOQggsX11aYZYTmXw+B4JbV5+IDrOBDTv+9rYSLr18GqR5zoJjdEaTtIbV1YR/cjRGnu/kWHfDQOSh79r5fwdS3BmVv9arARAYgVqjz358em+umoak9PASm430dVi5F4UeulcAx+p5Xr5XNr52qelDxmAnMujjWIlFFkLzSFAiKwE312API3QSrrcJoIK23KwiAFb5JYEM/FENfvec0AU+AQsasDzzxWYZMaC48WHLhYDZgKGsu6nQw8QWM8u6D9zONT48/vKuFVDyCATO9cgot+P0kXQB80ZcaOX4zpraLARv+Vxb3F/Fw0I70WkJhiIrn/DvmRgAaiw39r/Cpys/bt+8G/Ss25ZMrlIarPO3Wf6iBV3tlyr5Usld4RJaLp+TRGtGTXbl51ch9Cam1jPoHjU21f2zpm4Og5I8P22pbT4hV+Q9rfcG64LPFTL1bJcLd3Yc0qQMv+Gq9IPXLgjfV+XQFpHQvqwEq3pWgNU/mxvCq0ioj90Z8iSsoAqegmYiY8b7GRvFCx6gYkASAtEeM40RCxSDlA50/QT9BMuDGqJkJ2NZBlx8VsujAKGAieBRUHEV80jMwhdhFGabNj4HrenI9xbAxg/c82aSdgI+lgASgCTt2lf3nUs/ddv/2j69bn9aeXQXDW3ppE7ciqXnejCinU/vB7zxysPrhsnI8H22r15/PF0R3M5T4iutngWarm66GqMxGu5QisxMOGM4GdemM5/1RPTX/VmJbBfO8uitkg89TWvBDka28z4CARD0ZZ4Eqkhk9X4eUab/nsmr8X2Ir+kJ5gQYPxV2ibLUpeLbMnBTG6G6Unuup3ucDGAAyFXvAaJG7gmYY18n9lFMIHaeFuA0dpGwMbvc74I2QWMlhoGDRrb8F5AhH3JfQgjVzZyws4JArGWBsjnEOCQ65vU4BHnr8eJe33wF29Mz3z/nem+YqZvVIu3ReYGIitqs2rJgI65NWhzs90aXqMukOm1vcVI/II0RNfFQ2nx3z023a2LZ2HuDVbhMxfA596ME11RGPqNT00/ctHO9B35yU7jDOvDx4I9KHCAEcT3BBL6AufXkRYxehp2ZkIED7QtLIP6iBt6bAeIwaihxfjfGDCpc070mC3QKNyhOFcFQgxWHB8s5VRkx+LaAzRgaNAm8kALFBky0ormd7kUBB4XO8OwOUjz57i22O7ahfVBSwJge57/Em0UhZ6jwXHCLXZj9Xr2h3ki3hcyIB4j2q3zXTgW2H/LZH3dK/42/TwKPPcVWVur6fUSWVdvjD5/etl9vdO6GUlLI+kCEnNRjn7Vw9PBUTklWjmNS3q66HrE3BvLcsUCWi94eHrQSx+V/spGU57A39QW7PKoqwN6yyd6dnniMQ69Y97+dQmvQ8YdrANghL8cEpZjMFkN37ciOX6dwvB5Y7Ig61+KqBu32rsbTzu+5yioAaWIEkW/cMPBUPhvo4AF1xbAgRAo66jWRqLRjhaY1OyC4zwbNZlKnP8QiMjo1giNg0c0ptGTvB3fg42g3WAl40DLQQpgEdc1t2s/dLfFtvPaOtshWHawLe/6Sjr+pn9Mz/6j29IdCPlaSHl5eVcUMLK5NVySsyWyjsodQdMbWQ2thTTrBpI6apMNAowEf8wpsVebP7P/K69IiwSS9GgzXFlkvCW6LtlEPtYpmUWmq7k7WETrd56eft4qQb24Sysh6wh7LNwDT06D8YcF6jwarwNSuzhq8GLc2rYDVlxNbRf7qBhbF0LyNmIwts5FQYLMqXB14lxa4DIkHMcAZ79j8Pr5wtAw8JGfUocq0QcAIc7DM4btH5c1xSvPN2y1GGddzKEJGmFkOp+FjdWMQz8zBZ7XR8sm1mDhn+M6qPGzP95unAiP4bsHeFFgRSo8Q7w5DyX6X0SCBDhaKfaa1HbgeHrTt3wwXQs2smTAUaxbY+UCrDzByiiRNf2T2ZPUZh1Kicd5FUWe/UTXzUZa970YBH0/XP7OlfOYR6K/UffGcgWOPmpvOojvW2sD14Whs+hqiWo7LHpTs5Jvf3R65Fc/PP25XYW8VFU2sOhE7YZgMzNbmelKQOFvYUxDVdTE0JtP/xhoBChlBspY3O2xf7rAVjb26hi0eYJMzU5aGbO5b3r+1hCvwxBoCbAU4NLzxhdPoWiLRq3GnbeJgebBR/DAkI6+5rwO7kQjxnUOQ9fj8BpidzIRui8UnNXYaT7q4vBQCmLFucQ1wWkigxUASqAp2EhcSF22IoMUWYmew2q7i7aK3jPGsZHWBL0+M33bKfFnGJBgeQpmtg4BiW04vjMd/czRdPBqm3uTgUQLQ0uma2YlF1so+A4LBZvoaktuzhRV5qM49Nuemf67Td//Gh5z6MluX9QhUz5RMSAVeNzgrXd4Geni0EhjUKuBt8RX7N4Ck3mDv90BgS0wyeekx5NnB/vv45YgFIO4iAwp26Ghsu/y29yO3sACKeRHHPz8Pgy9+KkAC/GqySrkR6pL+BCXp7l2pQtETFNwbWYorBtogjaKKE3lxmQ2smrcQ/NpCpcG7TWiPJpHoqymAJTqmtm0gD980Q3pB2s2Mm8iq323smAiaxcbaWWy4hR0pi8+b+QkPb3Xfq/qDev5fPkbV7Yv77W5NicG4eCFxbSYPpeOfdv3pwWtUzJuIt9QKLiDlfyXJ6QnPv3i9MfxcPCut1iJPqnJCrIoCvCAW8J/9hmsBVEcGDu3KwOo9RIeN5d0jKta5K9UWgr2xdITuxkalgtf6z2d7KRyiYgjfGrX7Wg0owZdwaBeQ4DH4M7101vBgwOtZhz622xk3LnBQrQd7STOBQY+DkQy04m2a+HT+0AADCBTl8bGs0/MYySmCCFbm0VqfQWCBdOJtvP52zD7X59Pz3n9P6Z/qbWRY5Y7wirxfdhIp8iKg22SW7PhQDK4MOMrzGOvoeUqqvk3Jy05TRPUhrQSmxW8ZElub3lq+kUrnfiNNJrC6NCb+OfCJ8Ai7l6X8JoNzAwdVc/4BKsjLd5OxQTIduIq+JFGgQm+gyvlc2YqSC8MPU5Kt2WwQDfkw5B7w37yOsjr4HaF8bAdju56dAgbygYgjEQfSQoKDh6rh8juQHZHGoDRdCmE4WgXfY5O1ADJrkr0VTNilYkQUDTprBCG0d8KCXEcFFhiBTV830tgDUBRNlIzNNM+/vAlf5teNbecVnLxItNIMDlvzooXaQKaTWQtygWMYiO4TpstsuaxoDdlY96XQFIXPMIx+pQXGMVKOJlvaVea+bJL04WvfGR6r93YC9j//CTGIKbLEoPLgSUAhaxEWQwZCH6GgYKQsNpQbcxDKfTStoqvbINujpZVxMBC0hpV/i5XR8HDMSCOxYFJXCh+XwGI79tiMjXF6DEYajqbP1dG39quYMND61O7AB9pT/UQLEkBEMG+k4II2QRDtznk3AAsbEKoF2CShdQAiAxQ7EOAEM9PWU8rbG3nc+A3/zk95713pHvmjqSVI6wQbyDSxUa6EtBOFxupnzk9hk6fXSogsZ9Ybv8MV+IjkOB1vaxkm80mPmERHF0nOBsRDSYMyY0n3ueoCgwR/+KpSZDRtXF8LZwoFq1AVWeoFm7EGDBRNyq7Wta4aUEuxNZ/LcPnuXQCioAFXQr9DX9HA+L1yceuUSKffNk7Mg4N7RYDSw0z2Ae/bwGItt5iJvye5QbQvIJIBggYdHznxxPmMySoxr5d4ip1kSLxTJiG5qHgWHV0ZoiNsC/2RV7P1yI1ixbuXbTFwBc72MhuS0LTdPg1sZF8czYmWsP70TVchkfzRFvGsJKonjapVqJ5JWAlWy2nBKFg1HX9g+emt1jS1dNaxk4Dciyx/xUujlMPCQXj+9AzmBGL+TLMeu1sn+AROyjryUAV+2AXBzPkoqBLALLoF46DEDGjDTW7yLkhQkPIdhRwapaSgQNGE8frwIZ8p2twoQHWQ0EHkbbdqZt0MZZouP6dshCc60FzMcBGCgBxCxYxNc4Th+oEkdjHbavFRGwbcmIQpSkyVOU4zkhE4M3gJUDT1b4ly/3tS99jKQxRuMjc+WVfryayWJk3otrIWDZytQ2p68WlwcE3URs5tUBiR+vNSrBGcCxZUeSV3JVmdz3Cojc2qQ95JdstJHzsYMwMNkB55aPToyzZDeFglGT1v9rFcaPld/FaRHHkN6wST/Gtr+sxipmowRdAE6wIXeJkPzAhzJmp/7JxCxjwyV4zF3UParDRa5QHepz/8FGHtxBU2B8FmQJYdKRFJ4qoC4w49sm6hBi4HhlZqih6hGMOaR40XLxGg2sBEQUt6GhIsecY0Lk4Wbi1r+sojV9P/vMZm8OZuLbtxJ99Nn3F6/8p/bMLrAYgO85JS8cxMQ+lAmxS3pF/sbyRi1cLO2c2MiYdHsdvaiPs2Abljui92SRG4mY8XM8Vm6+JSvNS0xWbNW2+rqDGbNc8B8eAJM8MjnKMJ42h/N7T07W2WNXL6TqQdreM23sYhpNdnfhMwFG9BE81X3IirtgoHWMsmFTMJLtd4WKxUBLm6OwyNoTX+m8UoPDc/JUIEsDDpriZ7RKEho/UsUVBQXbR9lvAUHwfvxsHIGAfR2KZThc5mYUqv1etIusdMGABmGzgsc0/CxMpmI/9Ni+cFfsVIq1tyzkqAV4ZENkuXvnbuBd0vfYdGRR13moAotXhfYavAUkxp8YS0bRUQJ03gvP41CFb46ZiI9i+mSFfHRmnDEj8pNaglQyxEovmLOy1JDWpVwI3B0t8fvGFafePPTG9225WnkjYekq7DYQrQYPKk+4IJmF4Ob8EVMdGDjJf1fgyla8YAsGE3+M4WseExq7Hd+G2Yif4flR5gBag8Ama+yl3vLl/DHjfTc5DB0rXoMk4VSFUZihhzDzfgq2IEbeOhbYxWxh6CHatWQg2KoAUhoz9mScifSMY+Kl2gAi+Q+YqQvRF9isAQ8FJ+8T3BK44oZbLZHVYbv6+j6Qv//whmwoEXUTW8sWiV6g3YkuIttnIMVsYvFEBDYcbWQUt7u1GZbLW92tzgYSjh0etlqzginxdWolmu5KV3G0zg1tJaqYtzGDh8dc8Ln35Y89Pr9Mnrro4dYaosgfNekWXi1R3u1KQTnwpC4DJOGZC1hGDtWY5QxGd2L9mJ+5iBTXGPCBoKF1/yipU38Cxsy3ph2io1kLGZhdVdKbQTgQ4RoFHNuSOk4Ebg/V4cSg3ZoKCMCE/pzDcTleHBhTXMLs9XSBi+zmI4LhxAnVWLLcPVVJTEGH7BCwCi73+3YH0omv+If0NVs6z+UkrTIXX5LOLOMN3DBvJkZpe2ohfjJqMdg+oCb7ZRCDxu1C4N9gyKSvhzOA6HKzCq4msMz4Px3JLFkx4fdtz02sNeJ7f6eLQaGlI8ZrzQAAacbk1WY2Zr16/RKqqtdwcsh5/wseAJJgUIeDqO3yshVhuw3EwFwYLcQ0BigCEsg5vvho6mUXIQKl/M3IMiTHrfq12C8CoQab6jH2RVHYUhhzfFQCBHWpBNYDCXYjoQGYi8l2RJ9IBItgMEHEhN+4LXRH2w1/xfcWG4lDlPB30KRge27GyA+940XvSD85LZXgDzRXT/TxvpEtgxQxfFC46E9kIz30C3Jl013ju6kCelJVwrWCrV5KT1CrhlesFe0lGc3Eed3Ha8VNfmP7EDP5K9lhdHHan0DJix6JuiQAMQYkRmDqNvgtMYtxlPYaG7aDSALQCdKKjBCAFFOScIFSM8gDj/sYBS75G4xqS71XXqH+mbk0BJHHOBYOJH7uQai4MxebaZcnMRIEjfusgEkbLVx6X3xFnu9wZ7McCzgSlGkTycWxfZSMZRIKR5HOugNIA6p9+8v+kr/mHu9IxCqzLljeSK8NXAmuRfGYCa62NnCls5BQAiZvNxKyEi2lhrWAIr/cdSrOoVwJWUguv9Twcujjfc0V6zJdemv7YOpDLQDb1kspYsU8hvorB10xiYjAJ4FDDrQGqmeDWABRsQn8w2MFQWvknBK3acAuGUnHSITenA1yGwEAeFq3jtcADTUP/YOHnVq3UDCDRTwUNH8BhrKp91IbdB0QOWz9Qd7XJbOg+xbXQyX68fF3ai1y+Y//vZ9PX/eZn0ie7XJqWwFqEe2MtXy2jiPZPpzbC89tk1yabTAkmNSux3Yq1ghsT+uriR/sOm1Zi694sXmZlBvYbE8GawcgtsW10cX7jGekbL9uTfqFwcWjMQRX0aV+ACPbDv3BNyB5qMEFxZwO3VREiTrkALT0WR7WwkQwmAC3+PgDMqXFsd+CI97nf0g5cLszfQdi4dWMJEl1G3RdE8hO3A2TIzlpf4ztUjYcLAxeCwJAjLXEpHUB0Uh228+Rjn8xCwtD9nGOfbNjyuU6a8/7ZgVDlDAWYRoFIM+msArd87OgrrwP6gsSz7/pA+kO6NDlnBC7NhebS3Gqp8JZHsnd3WtHK8BO7NDinU5A3Ut/b0wMk1otxWomzElmZD8Lreebm3DfGxdllBZC2mHuD9Hkkqr2ppZeoS6HAYv3KVdPwfhyYYBzaFeRawk3DCUDIkBpA4kBApkFwkeO7U1j1k3qLp/3H772JyFUgS8F+ABXoKQAWvI670eNApj63vvujT6gW78BhAGI2O9AY2Cd0jEyAhikAktlEgIRmlxIIVED1JoKlsM81W9Fz4Vq9bNcvp0R7CC5oo0iHj9gvj1cAIcBfmBJ0kZebLoLEM6TBI4P1iBUsGuvSmDuD3JGucC/6eiawkbg1reG/0dt6aCV2yC5Wcrl9pyUZWy4OdBIkqoGZnGOsBOwEesljzk87f+7J6d2mKTxUz4qG7IaoBqsGijGuzEG+y8wE2wAm9g8zhjHYhsRNgke0lVlF/ZntE2Cibe2f/pbRnMx+BqeSWQtD19iYgSXKLeoKgxt1t2FsS1hewhrMwCEdooEW4ECjJ6uI1y4A8UGLfYSF5H3r3yobkZPEb3HtvCg02gs20gSRuJ6FZtNgIg44cXy9ntBFfuxj6Ws/eSAdhS6CUO9BYx4UVwEmKBFQR2ng0rCE4i3W4A4TWrVoURNEsHGIjfgVixG1UXd6uJ1xD6oNPHK3VoKD9CkzoBmvjOJkF+eCAZBoohrn4vzQo9OTn3FxertdzVyVdaz4GkaqMf0oAAAgAElEQVSOvimY6GeCiUdz8JQNMCmWAaVhC5jQ0nl3CWq82AS3nMoPcMKXAmo1GNEnKs5LDMv7HRMYfWjZv1wRzd6zMhq/41OeBuS6UQW42Aa2gWbxyqppfh64HvrUjm2F2Il+9AAQ9qmYrRsXq9AmuCPBKV4JNP41wM76CiaC7YzC4DsCXS30doKIAkobtFZ1EZtLc8Kql3moF7N6I/EMURq6NAs2lwaJZ5rBWpdQbE7MQ+evq5LPeC1OAYjkQ3EAb+5rg5XYATfMxbGlKhbmVxPVVC9B1uvr/3X6j5fuSj+h0NwlvrYMvIuZUN9wQw0D9XwPM6LcDge0gsnA1lY1D/mQgSXYTRFdigGrfWRDOQokT1gFKdwBPjm0b3VUh+OgZlZdAisBQweUn04cpHhSN4yPbsHq2JffEmzEUL2J6nMNFnRvVK/BT8CUMGPYk9kUjCpAc4ZBoGEfuH98ZjcUHHnt8NvPHkk//l3/O72Z2as6l8YTz1A+0ZacYBp8jtI0XJq1CazeQx3ym2bip5CR4Bw6WAm+uqZkJdhUzw6+3LY1XZzb0+zdFtHZZayEc3E8JBx6yTbTS/7/9s41Rq+jvONje+0NvsaxY3AIxEkgDSBoaQwlEUVtP9CLSAmqUkrVohZBoAKUtqBCVakkfAEVUaBQwq1c2gpVigqFQoVUlZYiBQqJiIgKJKRhA8QmxLl4fbc33j7/551n9j/PmXN7d9fe9XuOvD63OXPmzJn5vc9t5mh8ya9IfMmGUXwJd5YMLihl/OXVEse/FAmLc1FC4HR+oB9GDMs8KQkm/AaLhliCTAkwCVgGFxNJbD890KgHZM8QwcLAyOAR0/dtDFpOXBRtNtpsrVxxO6UZFasyz0d2zKUxFcagQI+cD7JjacCkEddlkAQBbhir4wfgablj2XQd82AJyOqG0/HzMmSxLSH9n/3tL4c/VeOqSCMnII14u4hIIztFAtm0W8baxMAz9tLMyA26qDQoRxYKbw90hiCSbufqfJl3O6g4NaOD9VOfcQIkH6gGFUdGzer3cMwlfFIkEbFbqL0Extfz58KGD74ofFJiL16okGiQFCowibTxBljkY+5iXKPbETQwwmLSokzV4XuiDLG2GR5Wtjqg8Hl9Bkg/DCK+MEJCr6E3m4yldn/+Se/SAkjasLy9xJI6HxMgPn+m4kQ3doJK7NS1AIkdP5NCYpnVy0UwMVUGMSJqD4mFNRcudjPVhSESy9EFInxP8Ur9+w1fCa87sj6cUuOq2EUwzwjsIRa9ClcvwuDhpTGVxuwiWeDZJWF+u9hHijEjKPzNZx8iKwYkdZMfoYCQSrAuDeqDF4fH4tTZS6bI+Pr8C8OWNz8r/IPEmzzXw6RRMiEpxceZWEfK7AgxPQqPuVl1GoJCBy2pV9bvkleHOg6nt07DIEu6Swkg1PMytYXSdmEIp2EJRBuU9Tq6VwUoscLYDpMBwGAT4cfXM5PS/RqkEHwiAzEiJhkprAwQssGQ4EF41jmSR8hBhc8zRMS4euebbg8vv382HDfjqs4xUmMXMVev2kXG8dKgIGxgTb36zKg01hasHvu2n0Wmr0olbTBJn7CQOz9RJBMbIXy+SCEHZ6pRr3NHxfgav9RnIfQarCYSyosvCjtee2X4jBgb9ywGJgoGqUFviNQv7cUaghoEtQeqDv5M7fD31eSFDo18SkCJfVEvy1S1uG/AsY7n82aoaZq+EgnBwOeVGle8eSoDAcKrAqn9x46eSRvU4X3eel1BCsELQKQs/my0cOr8HJ8i15rBFeVsMqxyZzEYMUTE2Hz/B78XrvuPfeERQMTG0WgIvM0xIipMxS6yJ5yW7wdnrl6UtbeXJlXimYUIv7tFgqHv5c2GV+SmXhyv4rhANTh0OeoVn7DYfGj0IXKzl9go4WR8Fbg8vjGsedXF4dJrnxo+I41Qp2hM2gBJHnbc2xus42ReFTmYJINYHWbXMJsKgtcgnaiLmKqM750BJfXA3HCbLLSx3AyBTF2j8xlY7Obx5zmTTvq+ytiRF4xJsWMTaDLPiuv0rL7Ys3McSOq8BiWqEw8Qa9B4D5jVTP6lILNkb4nHEjAIdr0hEvPSR5UpEz9/f7juEw+EmQ3RQ1MxriIEXuwiOhv8ljCPCYvgpSmqNPH7NP1VGq2FkvA7xpvtfslZkki06kf35kduiXhF8kzFKdhLeJRwLUzixNFvuSJcdfXO8GlpbfrFvi4w0RgEljjkOgYIQyY2sPRrb/YV+66NdQT/ulgCYbBQH8psInycqzTZQUjS8ZIHu7CtHNwoOA87n7XSuFPy3GiTpnuzmsD3MrXDA8RLJdZWKt4jug8G/CHkHmmSpAGJJj5UZdoBuYkPzce+AjnmW5RECCJSrhO3PRRe/lffD99ad1QmcJZo1TqI1MWLwC6ySaYHeBDxItEugjrCPCNYVwLPcPAsxYyU8HIWQRJh4tip7uBRJWWxJThkXpxK1KvYSkrGV9FNdcoBC1YzT458zGsNwugxC32cduAWtCfr+Nb4M6nBJJXYa1XliDVqRlaVQEjaYEnGh9bjNwNeHQy6q/v5SJICgyA2YC+FmOpiL5TLZoYAljzqIMYgKjUYhUPNCZ8n20s8RErwSC5bugfbYEoAsfLotAOwhQAauN4BzqBg6f2kRHZcn42klEwFI2DR85y+ezbc8Gd3SdBjnAVexuxkHhoLOhNbXdm46gbktbl6UcSz7aXxTeDsg6TQci22BKc4UI1hclgmfsZ+spcUpmdkT04FJnI95nsFTD70c+HVHGOSqQexE2u7jD+Rtm0wsX2v6uCSdAyXe9uJXIiIU/XsEID8SyoBhcFRgUrsDEmaIOjpY7BqE282rnqTde6Yr+986XZOLdFb45c/PnsFGoX8uG6QHQLhYExNc7jaNej0FBDXqMoYfGK9acOK5dJDBpbYFhiKEivyl2+4M3xKISIqjUxnMc/h74AIe2gy4yqmBugDERTm5jqIaEnrfpN8k1ry/bMMEn1jldHBJcNrnb0E3w+2UcI2HqfOk2NuYS+ZIGDtPXvDtZdvDu+WDqrRr3Uwsb6gEImvzW9bBKmXWrwEE9urwgazoGEULyJMfWuI/Br1O9rxgPHSiIcGg0UzI0lnsS2LIdAIjtFtR89CnTR1WNeJ+dmtjAYQqDAYAGizmOE8u3W9FOLnK7F7arpYH7Zt962DiBT+5L2Hwh+/+a7wRYMIx4qYm5cjV2s9NDKql7/b6+0iKFqagxU7K8BL49vLCgCJtpxOMLGxOGlGtYLxNc2qNhvW2Pwl7BZukkze/qxwzXPOD38nBdponTCJ6ySZJJhIa6tTIZLdJF7nDbHJNjF6+oVZ5AUkmEUekkrl56UGIhkwrINaZ3U9sSJ5xBawaImECltRQejX3YOB1R8PE69DGUCgwpyy2BNIE3RvDiJjKSRBBOnjM3PjN+jYu00QMomJn2E+HPrWw+E1b787fK0EEf2wlUgiHiKIXJ3eGuaPbxl9VkK+QonxZfMcdGYQQV202kUi/M6mJMJw93A5C/sNXpwRgYsqDk6Z8bUYrFYDE3yQHN6cks0E43Ku3hU+Jg1pJ1eESQJJIogQqeyjI8eGndQapCUwsO1Et02yMVjJ/noBCtzFWFdct9SoM4jUQCFJCPRA3ujqX3odWOrsFHq9L1fM1P9a1cKj0PJMIkBoO+YuKQHEe2QYFAoQwENWGVhGhxfsITFNso9Eovjnlewe/vL+8Ir33xfuLtlEEPoOV28dRJqCzlCcOuMqzpXtIvoQld+cM92JV4hEoq1wVBZXJV3sJWZ8VZjEz1mw8fWUAAWf/2TJpE7Ngc0ErmH5tMUnLc4kAwqBQosaGypWCQgRMibNZHYSesRWoEhaSCb4cJZNrehbjKlgWRkdOYpQiNCyvrSYhpduZz/nLrM2cJSewRqmfYJCp15ElyEJpBEgBDFTd/Q+MQ99boOHA2A67p4DcSJfuD+8Ei7eOsPqwaNh0/yxsAGR+Bs2CvdOhWNP2REOZW5e/pyEeGgajasow80rGyJL0YYW0/4K1zarOLigzvjaFSb7MU2jDPCTsOU1RZjEOJPf2BkufNUVMuBqbbjSd0SWTkxUN5DovkkWDjrsubGH1+sonQW3KaOss8fOA+kEtpSSlJLyc51C82H60E/HuOpM3UsvGV6tw3rQlSQbkz4gdWC2MkSl2rwsDBDQoChdGDzi82Zu3QgNezdtqgyXF9dIme75xH3hd744Ex5WiIiLl70zsIn8WCAiwSub5sToOr0+zMvHtebXyFre16HtUwKTaFx96ERUZ7pCBIVZgXaRrI6WmARLkF03e4kZX3HDrm7hLSKZSGTrmjqYWNCaRcC+cHvY9safDR+WGceuboKJicMJCPGXOduPHbqo7tRJNSbZGFSUCqMq1gmg46RFTUbT0q99BS7+rbXJqQ2CdAkQdWVIkJH8bPIjGFB1sY5PdZBJIHY+VomCIdajGV9ZEkpSBqksXrVJqpn9OiBPSXR8LvzPe+8Mr/7aY2HWIlYtToTHzxyYDTsEMOvOk+kA1gpEpK3Nr5W/Y0fCqadtCA+1emh+SUogX8nDstKNq32bzBKAYZwsuo0S7uTJcTEmFv1aZ4DlcHoM9Nt5Oky/8wXhTRdMh9dGybhxsF9SdRgCsbEzjBqBEq/lDm9qFEsp2vAlEdQeSCkAi3WOJmkjeW/agNHz1XXJ16QOPA/sHpA+VPKI8EiRrrEzWxEzu4epUAQbbwcxSClgGDbuWoZZklbiTSEQPnIifPStXw/vOrA2nMAAPA57txnOzLC6b23YpZLIlEgiIrUAIvKMun3lBWG/zi3i5l1tMq6ibCstXqSuSSxxU+rZ8mqTF6QSVGpDsJr35CBrjjFps5nA8Grh9B4mmILgXb8QXnjltvABaWzbfLHrVB0FQfzPfsRZjTEbSQYJavjJhhI7FY/p0f4Q3x7nafO2AiyqAlkHRfoGSWKp3hzn420jgEb6i2VhewQkiiQMmPpCQLG0loYNqaaqMEDSo0fgEKsWbCWAcaEXSF0d/N7B8Ia3fCt8FfOJ2CheDMCzsTMwrLJ35tB02DF3XEKCoiRiEJmfC6f2bgsPIWoVZbAxNL0hsvBAZ/hNtreOFQoS7X1Vl3BXmIjRFfO9doWJTT/gYYJRw4gxwXwmMMJe/6Tw5Ov3hPdNT4XnpU5pagmvqd5TJy+oO8k4G9MnUBAgtCZc3h4waJ72i568MbGDYHwP4IKpDLA220Iqot1rzKbpYWH56uxp8ofZyLDG5Mq+bCZRscjggZAFhhkXY31wuLsBJEk0RI2S8dQkI1ubqxn7J+bCN2+dCTfe+pPwAOwhJ0USAUxKEOFgs3thaF0bNrEkgmJsmA+zu9aFQ+cqROi3qp04ZydFA0zeNiqRN752lkycaxgwwUe3MDGSuYanxE18SmAiM1mtkV8endNk65ow9Z5rwut3nhdulPZc+apM1ukNHgQC+zVlwNQBRW0fAInSRP6wb9CgF5IZaEfJKmAxjwVOwAipcAFk3EhYUwWsY9ovTSpvzNvKhLVBA2t4V+yLhVrkWJi0XniU0RMU4GYwyVQSqoM2gFgdZ/f25Sj8hMqhxw8cD3/zJ7eFD8zOhzlIIfLjcnrttMwpYlMBiBSis5vJwDu4eG1OEQSbzcrfyamw6fDxMD01HdZJPcw9YU042hkieMabC+pM6qln381bx4EVLJFoyxmVz/9a0uC+IkxkDpOr5ERx6gG2mTiYYGwOBvrpFASY/zXGmrAR1manf+tVYe/P7wi3SKNO8SZmVPRgYHjo40QYWEfxEoc9sn23RtOzlNIAlUxacW/dpBYrAwd8JdDUtZTC8QQKOxelIHtnxcYlB1nqMGB5Q6dda7OVoXzshfHXZdCJF/Ox1Bcj3LwBWPb33fFwuPGdd4TbbbZ32EPYqGo2kamNAhCBiI2dAUQs2CzFiVDoO+6d1BnZ3lIaiGcQwbroodEnGFNu7PFSx0y6wkGyCJjcIzARmowFE3ENe/cw7CY2QRJgAlXnpbvDha+4JPy1SDAvKr3hEiCYi12BgmuS1BGllJQPQaXkvUnqBPKIn33gcTqJAUa7Pg2JwQFAxk5qqlYaEezStcLDHo6kFYNPAkDMsw4g/BiZZOKeD9eLhPHft3wvvPErj4XHoMp4ewh7ZuRHZV4ia8eDyB0CkStGP4tZ1OoqhwhDuk/zOQtpx5RMWmASdoeAiZGOP0Jf8cP8ryKRWKyJ2U2whqoDmJwWVUdnqBf7icQMrP3ba8JLn7I5/IXYIS5M0gh1nr5AsX5UknC8xGFSRgIZgyV27tILSzYe+inhsP0uL5mnDjCpsWS45IZWsUnEh+XjrNoYdKwukqRi4DJ4Ye0hweoM0tM7wf1E9XjoR4fDO15/W/jslNhANsgfZnovqTJqVI2TEu0UiYTnWbXZzcJ+ifOh6QBQnFbD6jkAkVUEEm1tY6k5VwhMQpRMsqA1mcsEEyPxQD/7Xs5JmRzJjxyW8RAaUq9AiV/0Q7yJSSdXbw1bb7gi3Chu4j+Q9oq50HTxMChKDZSWY1Ls+iRBQBphtca2bfJlPp8KsNDDGB5pmztfH6mkJm0CAnXwBVdM7OzWoSP9dJQuSRgeHhWDqwNEHUAq+cRnlfRz4tb91EfuCe/92myYNSmkpMpItLR6ZtioukEmJbLJmnmKxGzsDAWbBZFE7jlHJRFrPqtAtcla+lgwYQNsF5hwSD3bTXjAH1QdM8SydPLGZ4an//JF4R1y/ipWd5KdxA5ap6dfVjvFsDDRPf5wF+Hkr1PVwkkmhOIRq6gcDD33o964m0kfBgVSvVijrzV8LnCuOmXiQsfP1CaOKWGeFSFGT4DnFtftHf+5L/z5+78Tvq9SSJwS0aQQuHaz+JCSPUQG3qXvz8R5VusgUuviRbluFsMq1qvQJuIbxioDCXUHb5RoM8CSmsMw2SNZ6vyvNUZYBLAd2DeaoR5enaTqiIQi4eprxFWo3xtO0snJkcTy7oK6kyGxCSgeAkSTBI2YWbKBUH14sDA46tQsBlVXmJQaj7dHaJBXzJwBkO5RI12kvOnZOe9eACE15k2ixsxtlriQaAsxKURc+qdlSoL5dSKBcHwIvDI7LxpNi9hkVJ2RB9JRvCSJTApE8C5XIUjGhwmu9OH0GOjnYfLEJ4nKQ3YTU3VYOuERxCqdzIqbWAywdeqO1PRUSZ0oqRvcSUpSir24iiQiJyqqFI45MrABNuXlE3WkSQKFpSc7hB3iRuajR73akvhaA5i+AJH85x47GT75obvD+7wag7Ey67eOAswghaSRu04KyVSZCyQ69Scysx1NSlSCiI3iRR2ca4bVUtNYpSCJMCk1/hrJpGlsDnLjKFg1wsZPXcBuUlF1oleHpRNsm2fnNL5DLAZZ2E8Q0PZ7e8JTfu2i8Edb5eNcApTpuj5a5wa2l5SBIxLA3LaZGkW9zUBl0kAFZqRidWRHJRmrFAkesdD+/gwOBmJJLeHn9jDy+VQKJfOoyrd9P/OlfeGD/zgTfmTRqSclJgTjYCy4DACpSCECksy161QZNap6925pAJ4fO4NC1qkz6Wd95bp4m9rHKgbJ4mGCHNg9bHOamBH2hMBk2wZRX2K8yQUy33xJOuGIWOSJL/xBOlGbCgyysn1a/l5yUdj5W3vCa3ZMh9+VjrOFOzV7FOqMoiVJRWvBgUNfqgOEl0LSddQ66jwujeBrut5JJwYLLS5Rgu/bBg99NIJUdu3omQ89ejJ8+tYfhI9+YV84sBYqDKJTo9RhI3aRD+YNSWpMQQp55BEZZhAnI9L4kII9BPmYZwbbaT6RCYJIYuC4v0Qr47p+3hwvmRhMmuwmT5RE8O6oVyeOIIZXB4Frme2EPDtFdUfsJwDKC7aFra95Zvh9Acofist4Zx1Qss7uwTBihS4eJOm90DVeqvHvriSpFN+vkwLb3L1eVbE8SyBhUCZgkBHXrmXoWjpxXe9/8Gj4xMfvDv/09YNhVgGyYRQTAoh4NUZVmeiRsQhVBJrhy3dqCyEp5EG5SZsqMzZEFoxBYyqXK6MXrnKJJDWt0XPUGWBx7m0L4fTYLU3baDDJ5oEVqSRTdeqkkyZ1R+wnAAgbZLF/6eYw/eZnhJft3hhukAF2l5VsGdxRa923ERglsGQwcj8dDI9xGwKXueTFSUBIr4okCsCQjKl94GGPIoMA73vwePjI278d/nn/sXDKAwT7c2QHydQYF1wGWwhLIVl8iKkyNr9qi1EV5bOpALBdGcWbvYvVqc4wwsZtPysDg1kpaiQTvMTCqGGGCbbTp0HjPLA4lqk60auTGWKjdGKenW0yLhieHUgqRfsJA0Wkk7BdgqIEKFOHw9p3Xh1+fc+m8Lr168Jz6iJU66BSgoXZTlL/JS+Rf3nFmJIeb7golRSMrkmlIfqwZOKh4yUPBo1MGvTt+4+GD7/ltvBv5oUJj2JaspEE0ggQ2EAkxP3gQZlPkz0yJoU4gyq7dlGGkiqD42ZUnTSIuN+nHi1nxSbtBhMU3wb79VV1vHQSdsjI1viFP+8qxn0wC9sc7CRR7WGVR2EjaTSoTcCCKNkX7AybX/kz4VfF+HuduJevkT5nkwGkWvcdLAOBM3Lyq2pgSZZ3l9fbZE9puo8HRxd4xIYK9+xtMhT/c39/d/jS1w+Ew4gDMfXlmCTS78c4TwwkkCk5flT+kI+pMQkg8Yt34WFRXwQkJSlkRq7zrl3k1WYPQZpzXRKxtnIOSST2SOURw/pSSTLJYCI7jaqOnIdXB9dwzAnbTuDZMWOsAuWI2E9EMoGEgutKEsrj4tmBUVZD7i1KFpKKfPcPUspLnhp2vfjicO2ujeGlIqk8u06JLv1yl+CCcnSSPtpaRQdtvpOaE8vTZGcRyeMuGZH7uS/9MPzrF34YfgrpIxwfSR5m/0AwGQCyDutoVGUVJgFEJBF86Q4xIUmNabCF4Lo0h0hXVQYXiWdmkiASQW8d8Fxa10sm6Zs5eNwauwlOsapTMsQijRpgo2cH++wqxn4XoCAdR8l6KUVtKwKXVz0jXPb8XeG67dPhN2UKgEtK6o+9wRJYaiHSBo2uzaIAlxIg6sqmjTHaS2T+kh8+eiJ87hs/Df/y8e+G++TzDqqqVKQPAcf6ONEQrveu3BJAcIyNqdjPPDKyj5nMZmTdJIXgulpVZtS2qjVyjhhWS01iqZpR1+Z2BtN1hwkKVVJ1SqH1SOulE6g7iwFK2CwSi6g+AEpFSjFbCkkqr35meNqzt4e9258Q9opE8zwBy1ObwMIQ6eviHfeFVeJHChkxOESi+Oajx8Ltdz0abv/Yd8K9LHlktg8vfYjqEg4LRCgitS9AOC4E17ZKITWuXVx70wRCBI98DoPEWu7iVB3kUpJODChHbPBf9O50BUrYKoZZUYEggWyRzNiOgrwNKgi/xz5UH6zNngL157TABdIKVKBfvDjslcmWnr9xbdgraZ8hSUWW6ajKxKrqpPYQEPpAibwzp8UY+t2jp8PtorJ846s/DrdDZVGpQ/5YbcGtYDjFGvOCmOqCfZM+YP/A1GM2OjfMivpJKgzS1kkgBhAYU+0D3kjPYe7YL0Wp4rh6ZbBMoCpDzUA3JwAkeMwORlgkc6oOG2Iz6URbkTRQmc4xhdgTUDA/rNlPkLSk8pwSGwrOwcOT2VFEMlEJxQy0Yj/ZKN/9g6QCNQeztSX1B3ARoMBQy2DZvSVMX39JuPzJW8Ol29aHy8Xge5lMDH3ZlKzlpmLaHTWDvuDwjafSmChYRXrYkbnHRS0R96wYOn9w8FT4vwcOhR/IFIb37j8UTnhwKEAQ2xGhcAIRqNHucfSonJN9gwckEIsBQRlgQEUMCLbXRxsItj1AYEjlmBADyIykZTUG126/LMxnY2VICtHXD4hEgGB/UoyqdW1gQkDSDBNtCB0MsUhXJ530AQobZZGnGWZZSsFxnfIRYJEF8MDaJBWDip1T709Ug/SYg4s2AIHOyy4Ou5+7I1y6VQAjXqFdYsTdIkFxm6TTbpL5RTaJ+LMZa7nZZnw9VGaAOx+XysRKj8lsBUektx6W4K8j+Ha3rI9KOY5gXySHWfGq/OSRU+G+Ow+E+z7/QHgQcMBSgQYORletgQOHGB4wmuIY4KHrqLrYMcwNwtIHjpeMqPrYLQBBmiWVQpDhOWwPGb3VfJkgkNiD16s6/PFyS12yneBcH6Cwy1g7TBy/EyTkfrPMfYJjMMyylFKCCtKZGxnbgIoeEykFXytefzC6iqMEA7jo+SSDRMBo7xqdg3qENVSkSuuIadLxCAZOB0hgX9USLDENDKOWDt4VbCs0RLIIImFgObVNPDBR2sA+wwPg0GsIKAaPovQhbtyAkPbohdFHFIA8JoFkSYWRY2xIRZpGgJRsIbhIJJGbsC4ZVHFca3L1B5nxe27bnkCQoErGNMTKleYmRi6m7mAbY3ZSZCw6gI0qbrKhiMtY41Cc61g7Gak+FaiY+uOkFVzn4TJ9fORe1obgAGONQ6UXUMeDo631ABpCB4YGLvHAUPfseSOAKEhkMWhgm6UOU1vseAkeOOelD4sDwTnzwngbyIycgwqDNB4grMbgfMUjg4NmC8H2hHll2prChIIE1dIAEzmbVJ1Ro9ElSSeyvRRA8XYU3MNGGuu2SCm69lARuwrgYuoOZm8zz48WNHqB7OUbXGzfJJjTApmUxmDT1mLceagjdmitg4Udz6ARvSw4p1JHtHfoPqQPMZaqxGFrOQ67B84DHlib7QPbmGAI66S+sAQSjagzcn4pAIL7FG0hODFhqoxvJhMMEquKjkApwAQ5jAsUXIvJlEztCTYHCkkpSIOPn2NtUEnbEt4NQ61KK1jL8vj20Vq9QBEuejxKLvrEDjJWCx42vqHU7TMkLI0BItvHjkBjSuChH3iRZd2jMdqUwSHDDAwYSMPw0H1RXVIUqoSyB5kbxKsv3oiqj81TH8p+kwSC9J08Mkg44bGb5cAAAAa5SURBVACxdzyARGuiGSY+iA1XsHTC3h2cs3lise1VHhsQiHOIksXagALXcSalRKggDUYdw6aCaQywn0kr0vnw+b+H98dmTXBhyUXzkT+GjDWEDDZ2sMPabBkpqYMFjpukgW2TNrC9Y7eMd8GG/OelDkSewuZxCODAEkPYsVmUPuQ47B84j89ihu+PSuQBwvOn4vyFJW8MTrSpMUgzQCS99gEkWWdZWqCUbCi4nX0F0OwoONYGFaSBkRZrqD9Ym/dHj0U1SLehCkW4YHtW1ARdGDDZcy9IM+5w665JFT4hA2Or3Beg8NDANSZxWMi6HovwMLUFx9rgMSNpMvUFF/3vyI2LzYoEMgCk9d32STCApFJbLTCR9G32Ey+hVICCe8Y4FLt9ipaNxlkc95KKHpMYFbumCSxIw3DR/Whrsa8X20eM03FJk6DT0ooAB1tMmlBQYIkbdjylizYO7HcBB9Jp3IfzvJjqoucL0geOjwsQXFtrB8HJQQoptowBJLUdZumBglsdil8BxLapPdg2KSVTfTxUkDCG42OT1SDsYyY3eIGwJKkFO6QS8eN60NRWRccTbNuwS1RFkQXzfGAxaYNVFRyHxIE1g0OPAyJYouFU03h44CBLH7JrX7OzcrSpMEg3AKTjiy4kG0DSWndLABS5BxtlccuKHQUHRUrBwlA59uOwZk8so6k/2FVpBUsEC6Cix0liwb7CBUsEDDYNMvbowhmFDS9mi8mPjiSJ7JgAIjIiHU6wwBGxbWDBEH2+rhUckthsHjOy/YQaeCDPOukD59iNi31vRMWxASD+LfffH0DSqc7sy7uSuDDK1bJoVXmQ8HqByn/lwV+doCKXsk0FWdWBBedguMXaAGNeodLjJtjYSYJOsXoiHOych4QdPy96VbAPSQOLqilYZAJlLEnikG0DB47PyJ/ZPLCvRlMsInlgMXhgm8fCYN9LHzg2PkBw9WQFl41quN8ygKRXfbVLJ8iuBBTtA7fmAPFSCtIUoaI9gSSVWOYKWEgVQpIktdgzivSCxSBjhxNsetXFQmKDhB3xsMBxBoamI1UFuzPyx+DAMfO4WL4JHvTlOi5yrfSBRNELg81GCQQJBjtI75YwgKR3leGCpQUKcixCRewpXDy1qWDxKpAlerpILaQK2WEboVx61ApsxqqPAigsHweMBA1SVSxpk9SBNF7ywDEPD60eG5U7AGTMt9n/sgEk/euMruim8mRxKLg6Brdh00sptVCJ3zAugqUJLjgXAWPX7ql5ZgVOjwVD70vJZ+gg2zY4rYcGzrG6omk7Sh6N8BjVd71Cmj3xoML0eP1Z0l4NZ9ybnPvXdQQKKsI+4OWA0gcqSMsu5Ta44Hwy4La9DIEOFkg2paQKBiwx4KstuwQMfcCF1BVogBsCji3xY9s+31bJY1S3utw0qtsGa5acHwDS9up6nR9A0qu62hL3AAoavE1dYNm2SColQ61dCrBg+6qrymVMahGfjipS21N1Pk+gsGtKwMA5QANLLThcwJjlV6e2KEDa4IFEA0A6v84+CQeQ9KmtXml7QIWllK5QsXQFLxAXsw0wdY9UBI8krgNDXT5twMB1JS9Lxrsam4fCA/+1AWSAR6+WO07iASTj1Fqva3oAJebbJKkgScmukhWpBS6l4htw+JwXbqIQkV1eJ1HUVVEbNHBdJnXgAHlcFB5t4LCbDwDp1VIXk3gAyWJqr/e1/aFSMdSOfoErSytccIUABouPY+n9GC0XKCyw3NqecwUaJXCMnrnZ5jHAo72ylzHFAJJlrNzmrMeAyqiTrbmplHEBLkjWCTBnoA6KwChAA4f0+bqCA2kHyeMMvMHmWwwgOeuvAAUYEypNYLHnqgEMP/ZiYVMLCb6JU0/4VG9wDPBYEa2WCzGAZMW9EoKKMmbMAtZJLnXZdQBO8dIGQPj0YwHDMqm01CHmY8yWsSyXDSBZlmpdykyXCCy+SOR61g6+iCW7vo9K0nTPARyLeCNn/tIBJGe+zhd5RweWxUgtiyzJkl1ebIWDxLFk9XsGMhpAcgYqeflvUYDLSgRMbWsboLH8bWR57zCAZHnrdwXkXgMZLtm4dpha+0XpsQdYrIDGsGxFGECybFW7WjPuAB59tAEMq/UNL0e5B5AsR60OeQ41MGE1MIBkwl748LhDDSxHDQwgWY5aHfIcamDCamAAyYS98OFxhxpYjhoYQLIctTrkOdTAhNXAAJIJe+HD4w41sBw1MIBkOWp1yHOogQmrgQEkE/bCh8cdamA5amAAyXLU6pDnUAMTVgMDSCbshQ+PO9TActTA/wNuivpmvCxzywAAAABJRU5ErkJggg==',
width: '400',
height: '400'
}
}
],
series: [
{
type: 'graph',
layout: 'force',
force: {
repulsion: 85, // 节点之间的斥力因子
edgeLength: 85, //边的两个节点之间的距离
layoutAnimation: true,
friction: 0.3
},
roam: false,
symbol: '',
symbolSize: 0,
label: {
show: true,
color: 'auto'
},
draggable: false,
data: data
}
]
});
</script>
<template>
<div :style="{ width: '568px', height: '360px' }">
<Echarts :option="option" />
</div>
</template>
全量代码:
<script setup lang="ts">
import { reactive } from 'vue';
import Echarts from '@/components/ReEcharts/index.vue';
function contains(arr: string | any[], val: any) {
var i = arr.length;
while (i--) {
if (arr[i].name === val) {
return i;
}
}
return false;
}
let list = [
{
name: '北方',
max: 100
},
{
name: '西北',
max: 100
},
{
name: '西方',
max: 100
},
{
name: '西南',
max: 100
},
{
name: '东方',
max: 100
},
{
name: '东南',
max: 100
}
];
let data1 = [60, 60, 65, 60, 70, 40];
const option = reactive({
backgroundColor: '#FFFFFF',
tooltip: {
show: true,
trigger: 'item',
formatter: (data: { seriesName: any; seriesIndex: number; value: any[] }) => {
// console.log(data.seriesIndex);
var tip = data.seriesName;
let tmpData: number[] = [];
if (data.seriesIndex === 0) {
tmpData = data1;
}
console.log(tmpData);
data.value.forEach((item: any, index: string | number) => {
tip += '';
tip += '' + list[index].name + ': ' + tmpData[index] + '';
tip += '';
});
return tip;
}
},
radar: {
axisName: {
color: '#2273DA',
fontSize: 16,
rich: {
a: {
fontSize: 16,
color: '#ACD3FF'
// padding: [0, 0, 8, 0]
},
b: {
fontSize: 16,
color: '#ACD3FF'
}
},
formatter: (a: any) => {
let i = contains(list, a); // 处理对应要显示的样式
return `{a| ${a}}{b|(${data1[i]})}`;
}
},
center: ['50%', '50%'],
radius: '70%',
startAngle: 90,
splitNumber: 4,
splitArea: {
areaStyle: {
color: ['rgba(50, 72, 130, 0.7)', 'rgba(50, 72, 130, 0.5)', 'rgba(50, 72, 130, 0.6)']
}
},
axisLabel: {
show: false
},
axisLine: {
show: false
},
splitLine: {
show: true,
lineStyle: {
color: 'rgba(50, 72, 130, 0.4)'
}
},
indicator: list
},
series: [
{
axisName: '数据',
type: 'radar',
symbol: 'circle',
symbolSize: 10,
itemStyle: {
color: 'rgba(19, 173, 255, 1)',
borderColor: 'rgba(19, 173, 255, 0.4)',
borderWidth: 10
},
label: {
show: true,
formatter: (params: { value: any }) => {
return params.value;
},
color: '#fff'
},
areaStyle: {
color: {
type: 'linear',
x: 0, // 右
y: 1, // 下
x2: 0, // 左
y2: 0, // 上
colorStops: [
{
offset: 0,
color: 'rgba(82, 247, 242, 1)'
},
{
offset: 1,
color: 'rgba(65, 105, 213, 1)'
}
]
}
},
data: [
{
value: data1
}
]
}
]
});
</script>
<template>
<div :style="{ width: '568px', height: '360px' }">
<Echarts :option="option" />
</div>
</template>