2018-01-15 15:24:18 +00:00
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// Copyright 2018 the V8 project authors. All rights reserved.
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file.
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'use strict';
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const global_timeline_template =
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document.currentScript.ownerDocument.querySelector(
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'#global-timeline-template');
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class GlobalTimeline extends HTMLElement {
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constructor() {
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super();
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const shadowRoot = this.attachShadow({mode: 'open'});
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shadowRoot.appendChild(global_timeline_template.content.cloneNode(true));
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}
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2018-01-15 17:58:02 +00:00
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$(id) {
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return this.shadowRoot.querySelector(id);
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}
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2018-01-15 15:24:18 +00:00
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set data(value) {
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this._data = value;
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this.stateChanged();
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}
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get data() {
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return this._data;
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}
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set selection(value) {
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this._selection = value;
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this.stateChanged();
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}
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get selection() {
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return this._selection;
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}
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isValid() {
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return this.data && this.selection;
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}
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2018-01-15 20:27:40 +00:00
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hide() {
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this.$('#container').style.display = 'none';
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}
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show() {
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this.$('#container').style.display = 'block';
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}
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stateChanged() {
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if (this.isValid()) {
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this.drawChart();
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} else {
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this.hide();
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}
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2018-01-15 15:24:18 +00:00
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}
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2018-05-14 13:06:24 +00:00
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getFieldData() {
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const labels = [
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{type: 'number', label: 'Time'},
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{type: 'number', label: 'Ptr compression benefit'},
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{type: 'string', role: 'tooltip'},
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{type: 'number', label: 'Embedder fields'},
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{type: 'number', label: 'Tagged fields'},
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{type: 'number', label: 'Other raw fields'},
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{type: 'number', label: 'Unboxed doubles'}
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];
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const chart_data = [labels];
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const isolate_data = this.data[this.selection.isolate];
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let sum_total = 0;
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let sum_ptr_compr_benefit_perc = 0;
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let count = 0;
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Object.keys(isolate_data.gcs).forEach(gc_key => {
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const gc_data = isolate_data.gcs[gc_key];
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const data_set = gc_data[this.selection.data_set].field_data;
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const data = [];
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data.push(gc_data.time * kMillis2Seconds);
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const total = data_set.tagged_fields +
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data_set.embedder_fields +
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data_set.other_raw_fields +
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data_set.unboxed_double_fields;
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const ptr_compr_benefit = data_set.tagged_fields / 2;
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const ptr_compr_benefit_perc = ptr_compr_benefit / total * 100;
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sum_total += total;
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sum_ptr_compr_benefit_perc += ptr_compr_benefit_perc;
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count++;
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const tooltip = "Ptr compression benefit: " +
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(ptr_compr_benefit / KB).toFixed(2) + "KB " +
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" (" + ptr_compr_benefit_perc.toFixed(2) + "%)";
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data.push(ptr_compr_benefit / KB);
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data.push(tooltip);
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data.push(data_set.embedder_fields / KB);
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data.push(data_set.tagged_fields / KB);
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data.push(data_set.other_raw_fields / KB);
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data.push(data_set.unboxed_double_fields / KB);
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chart_data.push(data);
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});
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2018-05-23 10:25:52 +00:00
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const avg_ptr_compr_benefit_perc =
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count ? sum_ptr_compr_benefit_perc / count : 0;
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console.log("==================================================");
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console.log("= Average ptr compression benefit is " +
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avg_ptr_compr_benefit_perc.toFixed(2) + "%");
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console.log("= Average V8 heap size " +
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(sum_total / count / KB).toFixed(2) + " KB");
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console.log("==================================================");
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return chart_data;
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}
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2018-01-15 17:58:02 +00:00
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getCategoryData() {
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const categories = Object.keys(this.selection.categories)
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.map(k => this.selection.category_names.get(k));
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const labels = ['Time', ...categories];
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const chart_data = [labels];
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const isolate_data = this.data[this.selection.isolate];
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Object.keys(isolate_data.gcs).forEach(gc_key => {
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const gc_data = isolate_data.gcs[gc_key];
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const data_set = gc_data[this.selection.data_set].instance_type_data;
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const data = [];
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data.push(gc_data.time * kMillis2Seconds);
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Object.values(this.selection.categories).forEach(instance_types => {
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data.push(
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instance_types
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.map(instance_type => {
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return data_set[instance_type].overall;
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})
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.reduce((accu, current) => accu + current, 0) /
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KB);
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});
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chart_data.push(data);
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});
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return chart_data;
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}
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getInstanceTypeData() {
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const instance_types =
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Object.values(this.selection.categories)
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.reduce((accu, current) => accu.concat(current), []);
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const labels = ['Time', ...instance_types];
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const chart_data = [labels];
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const isolate_data = this.data[this.selection.isolate];
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Object.keys(isolate_data.gcs).forEach(gc_key => {
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const gc_data = isolate_data.gcs[gc_key];
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const data_set = gc_data[this.selection.data_set].instance_type_data;
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const data = [];
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data.push(gc_data.time * kMillis2Seconds);
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instance_types.forEach(instance_type => {
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data.push(data_set[instance_type].overall / KB);
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});
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chart_data.push(data);
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});
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return chart_data;
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}
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getChartData() {
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switch (this.selection.data_view) {
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case VIEW_BY_FIELD_TYPE:
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return this.getFieldData();
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case VIEW_BY_INSTANCE_CATEGORY:
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return this.getCategoryData();
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case VIEW_BY_INSTANCE_TYPE:
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default:
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return this.getInstanceTypeData();
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}
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}
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getChartOptions() {
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const options = {
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isStacked: true,
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hAxis: {
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format: '###.##s',
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title: 'Time [s]',
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},
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vAxis: {
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format: '#,###KB',
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title: 'Memory consumption [KBytes]'
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},
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chartArea: {left:100, width: '85%', height: '70%'},
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legend: {position: 'top', maxLines: '1'},
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pointsVisible: true,
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pointSize: 5,
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explorer: {},
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};
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switch (this.selection.data_view) {
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case VIEW_BY_FIELD_TYPE:
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// Overlay pointer compression benefit on top of the graph
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return Object.assign(options, {
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series: {0: {type: 'line', lineDashStyle: [13, 13]}},
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});
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case VIEW_BY_INSTANCE_CATEGORY:
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case VIEW_BY_INSTANCE_TYPE:
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default:
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return options;
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}
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}
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drawChart() {
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console.assert(this.data, 'invalid data');
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console.assert(this.selection, 'invalid selection');
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const chart_data = this.getChartData();
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const data = google.visualization.arrayToDataTable(chart_data);
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const options = this.getChartOptions();
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const chart = new google.visualization.AreaChart(this.$('#chart'));
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this.show();
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chart.draw(data, google.charts.Line.convertOptions(options));
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}
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}
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customElements.define('global-timeline', GlobalTimeline);
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