458 lines
No EOL
17 KiB
Vue
458 lines
No EOL
17 KiB
Vue
<template>
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<div>
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<br><br><br><br><br>
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<Table border :show-header='false' :columns="columns1" height="500" :data="data1"></Table>
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<!-- <Table border :columns="columns1" height='300'></Table> -->
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<!-- <br><br><br><br><br> -->
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<!-- <Table width="550" height="200" border :columns="columns2" :data="data4"></Table> -->
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<!--<br><br><br><br><br>-->
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<!-- <Table border :columns="columns5" height="240" :data="data5"></Table> -->
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<!-- <br><br><br><br><br> -->
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<!-- <Table border :columns="columns6" :data="data5"></Table> -->
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<!-- <br><br><br><br><br> -->
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<Table border :show-header='false' :columns="columns7" height="200" :data="data7"></Table>
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<Table border :columns="columns7" height="240" :data="data7"></Table>
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<!-- <br><br><br><br><br> -->
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<!-- <Table border :columns="columns8" :data="data7" height="200"></Table> -->
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<!-- <Table border :columns="columns8" height="200"></Table> -->
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<br><br><br><br><br>
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</div>
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</template>
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<script>
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export default {
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data () {
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return {
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columns1: [
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{
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title: 'Name',
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key: 'name',
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align: 'center',
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minWidth: 100,
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maxWidth: 200,
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fixed: 'left',
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filters: [
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{
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label: 'Joe',
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value: 1
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},
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{
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label: 'John',
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value: 2
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}
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],
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filterMultiple: false,
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filterMethod (value, row) {
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if (value === 1) {
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return row.name === 'Joe';
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} else if (value === 2) {
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return row.name === 'John Brown';
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}
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}
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},
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{
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title: 'Other',
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align: 'center',
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children: [
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{
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title: 'Age',
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key: 'age',
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align: 'center',
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minWidth: 100,
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maxWidth: 200,
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sortable: true
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},
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{
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title: 'Address',
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align: 'center',
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children: [
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{
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title: 'Street',
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key: 'street',
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align: 'center',
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minWidth: 100,
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maxWidth: 200,
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},
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{
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title: 'Block',
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align: 'center',
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children: [
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{
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title: 'Building',
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key: 'building',
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align: 'center',
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minWidth: 100,
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maxWidth: 200,
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sortable: true
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},
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{
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title: 'Door No.',
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key: 'door',
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align: 'center',
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minWidth: 100,
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maxWidth: 200,
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}
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]
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}
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]
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}
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]
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},
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{
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title: 'Company',
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align: 'center',
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children: [
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{
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title: 'Company Address',
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key: 'caddress',
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align: 'center',
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minWidth: 100,
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maxWidth: 200,
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},
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{
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title: 'Company Name',
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key: 'cname',
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align: 'center',
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minWidth: 100,
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maxWidth: 200,
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}
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]
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},
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// {
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// title: 'Gender',
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// key: 'gender',
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// align: 'center',
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// width: 200,
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// fixed: 'right'
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// },
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{
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title: 'Gender',
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key: 'gender',
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align: 'center',
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minWidth: 100,
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maxWidth: 200,
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fixed: 'right'
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}
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],
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columns2: [
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{
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title: 'Name',
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key: 'name',
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width: 100,
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fixed: 'left'
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},
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{
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title: 'Age',
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key: 'age',
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width: 100,
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fixed: 'right',
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sortable: true
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},
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{
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title: 'Province',
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key: 'province',
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width: 100
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},
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{
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title: 'City',
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key: 'city',
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width: 100
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},
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{
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title: 'Address',
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key: 'address',
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width: 200
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},
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{
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title: 'Postcode',
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key: 'zip',
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width: 100
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},
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{
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title: 'Action',
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key: 'action',
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fixed: 'right',
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width: 120,
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render: (h, params) => {
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return h('div', [
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h('Button', {
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props: {
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type: 'text',
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size: 'small'
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}
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}, 'View'),
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h('Button', {
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props: {
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type: 'text',
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size: 'small'
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}
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}, 'Edit')
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]);
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}
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}
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],
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data1: [],
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data4: [
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{
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name: 'John Brown',
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age: 18,
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address: 'New York No. 1 Lake Park',
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province: 'America',
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city: 'New York',
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zip: 100000
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},
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{
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name: 'Jim Green',
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age: 24,
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address: 'Washington, D.C. No. 1 Lake Park',
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province: 'America',
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city: 'Washington, D.C.',
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zip: 100000
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},
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{
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name: 'Joe Black',
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age: 30,
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address: 'Sydney No. 1 Lake Park',
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province: 'Australian',
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city: 'Sydney',
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zip: 100000
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},
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{
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name: 'Jon Snow',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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province: 'Canada',
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city: 'Ottawa',
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zip: 100000
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},
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{
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name: 'John Brown',
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age: 18,
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address: 'New York No. 1 Lake Park',
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province: 'America',
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city: 'New York',
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zip: 100000
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},
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{
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name: 'Jim Green',
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age: 24,
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address: 'Washington, D.C. No. 1 Lake Park',
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province: 'America',
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city: 'Washington, D.C.',
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zip: 100000
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},
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{
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name: 'Joe Black',
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age: 30,
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address: 'Sydney No. 1 Lake Park',
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province: 'Australian',
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city: 'Sydney',
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zip: 100000
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},
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{
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name: 'Jon Snow',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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province: 'Canada',
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city: 'Ottawa',
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zip: 100000
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}
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],
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columns5: [
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{
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title: 'Date',
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key: 'date',
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sortable: true
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},
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{
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title: 'Name',
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key: 'name'
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},
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{
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title: 'Age',
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key: 'age',
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sortable: true
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},
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{
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title: 'Address',
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key: 'address'
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}
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],
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data5: [
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{
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name: 'John Brown',
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age: 18,
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address: 'New York No. 1 Lake Park',
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date: '2016-10-03'
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},
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{
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name: 'Jim Green',
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age: 24,
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address: 'London No. 1 Lake Park',
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date: '2016-10-01'
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},
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{
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name: 'Joe Black',
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age: 30,
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address: 'Sydney No. 1 Lake Park',
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date: '2016-10-02'
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},
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{
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name: 'Jon Snow',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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date: '2016-10-04'
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}
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],
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columns6: [
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{
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title: 'Date',
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key: 'date'
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},
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{
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title: 'Name',
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key: 'name'
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},
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{
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title: 'Age',
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key: 'age',
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filters: [
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{
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label: 'Greater than 25',
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value: 1
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},
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{
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label: 'Less than 25',
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value: 2
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}
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],
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filterMultiple: false,
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filterMethod (value, row) {
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if (value === 1) {
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return row.age > 25;
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} else if (value === 2) {
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return row.age < 25;
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}
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}
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},
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{
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title: 'Address',
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key: 'address',
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fixed: 'right',
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filters: [
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{
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label: 'New York',
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value: 'New York'
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},
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{
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label: 'London',
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value: 'London'
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},
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{
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label: 'Sydney',
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value: 'Sydney'
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}
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],
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filterMethod (value, row) {
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return row.address.indexOf(value) > -1;
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}
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}
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],
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columns7: [
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{
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title: 'Date',
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key: 'date',
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sortable: true,
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width:200,
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},
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{
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title: 'Name',
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key: 'name',
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width:200,
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},
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{
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title: 'Age',
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key: 'age',
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width:200,
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},
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{
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title: 'Address',
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key: 'address',
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width:200,
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}
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],
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data7: [
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{
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name: 'John Brown',
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age: 18,
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address: 'New York No. 1 Lake Park',
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date: '2016-10-03'
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},
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{
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name: 'Jim Green',
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age: 24,
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address: 'London No. 1 Lake Park',
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date: '2016-10-01'
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},
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{
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name: 'Joe Black',
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age: 30,
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address: 'Sydney No. 1 Lake Park Sydney No. 1 Lake Park',
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date: '2016-10-02'
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},
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{
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name: 'Jon Snow',
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age: 26,
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address: 'Ottawa No. 2 Lake Park Ottawa No. 2 Lake Park Ottawa No. 2 Lake Park',
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date: '2016-10-04'
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}
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],
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columns8: [
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{
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title: 'Date',
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key: 'date',
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sortable: true,
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minWidth:100,
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maxWidth:200,
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},
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{
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title: 'Name',
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key: 'name',
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minWidth:100,
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maxWidth:200,
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},
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{
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title: 'Age',
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key: 'age',
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minWidth:100,
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maxWidth:200,
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},
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{
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title: 'Address',
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key: 'address',
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minWidth:200,
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maxWidth:300,
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}
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],
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}
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},
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mounted () {
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const data = [];
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for (let i = 0; i < 20; i++) {
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data.push({
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key: i,
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name: 'John Brown',
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age: i + 1,
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street: 'Lake Park',
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building: 'C',
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door: 2035,
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caddress: 'Lake Street 42',
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cname: 'SoftLake Co',
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gender: 'M',
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});
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}
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this.data1 = data;
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}
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}
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</script> |