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declarations

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/// <reference path="nvd3.d.ts" /> namespace nvd3_test_cumulativeLineChart { // Wrapping in nv.addGraph allows for '0 timeout render', stores rendered charts in nv.graphs, // and may do more in the future... it's NOT required nv.addGraph(function () { var chart = nv.models.cumulativeLineChart() .useInteractiveGuideline(true) .x(function (d) { return d[0] }) .y(function (d) { return d[1] / 100 }) .color(d3.scale.category10().range()) .average(function (d) { return d.mean / 100; }) .duration(300) .clipVoronoi(false); chart.dispatch.on('renderEnd', function () { console.log('render complete: cumulative line with guide line'); }); chart.xAxis.tickFormat(function (d) { return d3.time.format('%m/%d/%y')(new Date(d)) }); chart.yAxis.tickFormat(d3.format(',.1%')); d3.select('#chart1 svg') .datum(cumulativeTestData()) .call(chart); //TODO: Figure out a good way to do this automatically nv.utils.windowResize(chart.update); chart.dispatch.on('stateChange', function (e) { nv.log('New State:', JSON.stringify(e)); }); chart.state.dispatch.on('change', function (state) { nv.log('state', JSON.stringify(state)); }); return chart; }); function flatTestData() { return [{ key: "Snakes", values: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9].map(function (d) { var currentDate = new Date(); currentDate.setDate(currentDate.getDate() + d); return [currentDate, 0] }) }]; } function cumulativeTestData() { return [ { key: "Long", values: [[1083297600000, -2.974623048543], [1085976000000, -1.7740300785979], [1088568000000, 4.4681318138177], [1091246400000, 7.0242541001353], [1093924800000, 7.5709603667586], [1096516800000, 20.612245065736], [1099195200000, 21.698065237316], [1101790800000, 40.501189458018], [1104469200000, 50.464679413194], [1107147600000, 48.917421973355], [1109566800000, 63.750936549160], [1112245200000, 59.072499126460], [1114833600000, 43.373158880492], [1117512000000, 54.490918947556], [1120104000000, 56.661178852079], [1122782400000, 73.450103545496], [1125460800000, 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