2023-05-04 11:25:37 +00:00
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var timestamp = -1;
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var nRows = 3;
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var host = window.location.hostname;
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2023-10-25 13:18:03 +00:00
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var isLocalHost = (host === "localhost" || host === "127.0.0.1" || host === "192.168.0.112");
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2023-11-27 11:19:47 +00:00
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var range_x = [];
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var range_y = [];
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2023-10-25 13:18:03 +00:00
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2023-11-27 02:35:42 +00:00
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// setup API
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2023-11-25 22:46:10 +00:00
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var urlTimestamp = '';
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if (isLocalHost) {
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2023-12-05 13:14:00 +00:00
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urlTimestamp = '//' + host + ':3000/api/timestamp?timestamp=' + Date.now();
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2023-11-25 22:46:10 +00:00
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} else {
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urlTimestamp = '//' + host + '/api/timestamp?timestamp=' + Date.now();
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}
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2023-11-27 02:35:42 +00:00
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var urlDetection = '';
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if (isLocalHost) {
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2023-12-05 13:14:00 +00:00
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urlDetection = '//' + host + ':3000/api/detection?timestamp=' + Date.now();
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2023-11-27 02:35:42 +00:00
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} else {
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urlDetection = '//' + host + '/api/detection?timestamp=' + Date.now();
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}
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2023-11-25 22:46:10 +00:00
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2023-11-27 02:35:42 +00:00
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// setup plotly
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2023-05-04 11:25:37 +00:00
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var layout = {
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2023-12-06 14:40:34 +00:00
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autosize: true,
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2023-05-04 11:25:37 +00:00
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margin: {
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l: 50,
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r: 50,
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b: 50,
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2023-11-27 02:35:42 +00:00
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t: 10,
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2023-05-04 11:25:37 +00:00
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pad: 0
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},
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2023-11-27 02:35:42 +00:00
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hoverlabel: {
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namelength: 0
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},
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2023-05-04 11:25:37 +00:00
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plot_bgcolor: "rgba(0,0,0,0)",
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paper_bgcolor: "rgba(0,0,0,0)",
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annotations: [],
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displayModeBar: false,
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xaxis: {
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2023-11-27 02:35:42 +00:00
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title: {
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text: 'Bistatic Range (km)',
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font: {
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size: 24
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}
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},
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2023-05-04 11:25:37 +00:00
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ticks: '',
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side: 'bottom'
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},
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yaxis: {
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2023-11-27 02:35:42 +00:00
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title: {
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text: 'Bistatic Doppler (Hz)',
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font: {
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size: 24
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}
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},
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2023-05-04 11:25:37 +00:00
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ticks: '',
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ticksuffix: ' ',
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2023-11-27 02:35:42 +00:00
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autosize: false,
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categoryorder: "total descending"
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2023-05-04 11:25:37 +00:00
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}
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};
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var config = {
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2023-12-06 14:40:34 +00:00
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responsive: true,
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displayModeBar: false
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//scrollZoom: true
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2023-05-04 11:25:37 +00:00
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}
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2023-11-27 02:35:42 +00:00
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// setup plotly data
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var data = [
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{
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z: [[0, 0, 0], [0, 0, 0], [0, 0, 0]],
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colorscale: 'Jet',
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type: 'heatmap'
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}
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];
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var detection = [];
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2023-12-05 13:14:00 +00:00
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Plotly.newPlot('data', data, layout, config);
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2023-05-04 11:25:37 +00:00
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2023-11-27 02:35:42 +00:00
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// callback function
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2023-05-04 11:25:37 +00:00
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var intervalId = window.setInterval(function () {
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2023-11-14 12:13:14 +00:00
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// check if timestamp is updated
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var timestampData = $.get(urlTimestamp, function () { })
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2023-05-04 11:25:37 +00:00
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.done(function (data) {
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2023-11-14 12:13:14 +00:00
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if (timestamp != data) {
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timestamp = data;
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2023-11-29 09:41:46 +00:00
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// get detection data (no detection lag)
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var detectionData = $.getJSON(urlDetection, function () { })
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.done(function (data_detection) {
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detection = data_detection;
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});
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2023-11-14 12:13:14 +00:00
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// get new map data
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var apiData = $.getJSON(urlMap, function () { })
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.done(function (data) {
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2023-11-27 02:35:42 +00:00
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2023-11-14 12:13:14 +00:00
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// case draw new plot
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2023-11-27 02:35:42 +00:00
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if (data.nRows != nRows) {
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2023-11-14 12:13:14 +00:00
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nRows = data.nRows;
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2023-11-27 11:19:47 +00:00
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// lock range before other trace
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var layout_update = {
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'xaxis.range': [data.delay[0], data.delay.slice(-1)[0]],
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'yaxis.range': [data.doppler[0], data.doppler.slice(-1)[0]]
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};
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2023-12-05 13:14:00 +00:00
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Plotly.relayout('data', layout_update);
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2023-11-27 11:19:47 +00:00
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2023-11-27 02:35:42 +00:00
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var trace1 = {
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2023-11-14 12:13:14 +00:00
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z: data.data,
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x: data.delay,
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y: data.doppler,
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colorscale: 'Jet',
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zauto: false,
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zmin: 0,
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zmax: Math.max(13, data.maxPower),
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type: 'heatmap'
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};
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2023-11-27 02:35:42 +00:00
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var trace2 = {
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x: detection.delay,
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y: detection.doppler,
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mode: 'markers',
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2023-11-27 11:19:47 +00:00
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type: 'scatter',
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marker: {
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size: 16,
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opacity: 0.6
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}
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2023-11-27 02:35:42 +00:00
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};
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var data_trace = [trace1, trace2];
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2023-12-05 13:14:00 +00:00
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Plotly.newPlot('data', data_trace, layout, config);
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2023-11-14 12:13:14 +00:00
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}
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2023-11-27 02:35:42 +00:00
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// case update plot
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2023-11-14 12:13:14 +00:00
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else {
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2023-11-27 02:35:42 +00:00
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var trace_update = {
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x: [data.delay, detection.delay],
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y: [data.doppler, detection.doppler],
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z: [data.data, []],
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zmax: [Math.max(13, data.maxPower), []]
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2023-11-14 12:13:14 +00:00
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};
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2023-12-05 13:14:00 +00:00
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Plotly.update('data', trace_update);
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2023-11-14 12:13:14 +00:00
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}
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})
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.fail(function () {
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})
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.always(function () {
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});
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}
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2023-05-04 11:25:37 +00:00
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})
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.fail(function () {
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})
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.always(function () {
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});
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2023-11-17 12:27:32 +00:00
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}, 100);
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