For WebStorm and
Intellij IDEA Ultimate

option.title.text = title; if (res.errno == 0) { for (let i = 0; i < res.data.length; i++) { let data = res.data[i]; if (stateOption == 'envOption') { if (data.type == 1) { option.xAxis[0].data.push('正式'); } else if (data.type == 2) { option.xAxis[0].data.push('预发布'); } else if (data.type == 3) { option.xAxis[0].data.push('测试'); option.xAxis[0].data.push(data.name); option.series[0].data.push(data.pub);
for (const commentItem of comments.data) { const comment = {}; comment.content = Buffer.from(commentItem.content, 'base64').toString();
test('linear regression', function(t) { test('correctly generates a line for a 0, 0 to 1, 1 dataset', function(t) { var l = ss.linear_regression().data([[0, 0], [1, 1]]); t.equal(l.line()(0), 0); t.equal(l.line()(0.5), 0.5); var l = ss.linear_regression().data([[0, 0], [1, 0]]); t.equal(l.line()(0), 0); t.equal(l.line()(0.5), 0); var l = ss.linear_regression().data([[0, 0], [1, 0]]); t.deepEqual(l.data(), [[0, 0], [1, 0]]); t.end(); }); var l = ss.linear_regression().data([[0, 0]]).line(); t.deepEqual(l(10), 0); t.end(); var l = ss.linear_regression().data([[0, 0], [1, 0]]); t.equal(l.m(), 0); t.equal(l.b(), 0); var l = ss.linear_regression().data([[0, 0], [1, 0.5]]); t.equal(l.m(), 0.5); t.equal(l.b(), 0); var l = ss.linear_regression().data([[0, 20], [1, 10]]); t.equal(l.m(), -10); t.equal(l.b(), 20);
if (pathItem.data) { pathItem.data[1] = 0; pathItem.data[1] = pathItem.data[0]; pathItem.data[0] = 0; (matrix.data[4] !== 0 || matrix.data[5] !== 0) ) { newPoint = transformPoint(matrix.data, pathItem.data[0], pathItem.data[1]); set(pathItem.data, newPoint); set(pathItem.coords, newPoint); matrix.data[4] = 0; matrix.data[5] = 0; transformArc(pathItem.data, matrix.data); if (Math.abs(pathItem.data[2]) > 80) { var a = pathItem.data[0], rotation = pathItem.data[2]; pathItem.data[0] = pathItem.data[1]; pathItem.data[1] = a; pathItem.data[2] = rotation + (rotation > 0 ? -90 : 90); newPoint = transformPoint(matrix.data, pathItem.data[5], pathItem.data[6]); pathItem.data[5] = newPoint[0];
option.title.text = title; if (res.errno == 0) { for (let i = 0; i < res.data.length; i++) { let data = res.data[i]; if (stateOption == 'envOption') { if (data.type == 1) { option.xAxis[0].data.push('正式'); } else if (data.type == 2) { option.xAxis[0].data.push('预发布'); } else if (data.type == 3) { option.xAxis[0].data.push('测试'); option.xAxis[0].data.push(data.name); option.series[0].data.push(data.pub);
option.title.text = title; if (res.errno == 0) { for (let i = 0; i < res.data.length; i++) { let data = res.data[i]; if (stateOption == 'envOption') { if (data.type == 1) { option.xAxis[0].data.push('正式'); } else if (data.type == 2) { option.xAxis[0].data.push('预发布'); } else if (data.type == 3) { option.xAxis[0].data.push('测试'); option.xAxis[0].data.push(data.name); option.series[0].data.push(data.pub);
option.title.text = title; if (res.errno == 0) { for (let i = 0; i < res.data.length; i++) { let data = res.data[i]; if (stateOption == 'envOption') { if (data.type == 1) { option.xAxis[0].data.push('正式'); } else if (data.type == 2) { option.xAxis[0].data.push('预发布'); } else if (data.type == 3) { option.xAxis[0].data.push('测试'); option.xAxis[0].data.push(data.name); option.series[0].data.push(data.pub);
test('linear regression', function(t) { test('correctly generates a line for a 0, 0 to 1, 1 dataset', function(t) { var l = ss.linear_regression().data([[0, 0], [1, 1]]); t.equal(l.line()(0), 0); t.equal(l.line()(0.5), 0.5); var l = ss.linear_regression().data([[0, 0], [1, 0]]); t.equal(l.line()(0), 0); t.equal(l.line()(0.5), 0); var l = ss.linear_regression().data([[0, 0], [1, 0]]); t.deepEqual(l.data(), [[0, 0], [1, 0]]); t.end(); }); var l = ss.linear_regression().data([[0, 0]]).line(); t.deepEqual(l(10), 0); t.end(); var l = ss.linear_regression().data([[0, 0], [1, 0]]); t.equal(l.m(), 0); t.equal(l.b(), 0); var l = ss.linear_regression().data([[0, 0], [1, 0.5]]); t.equal(l.m(), 0.5); t.equal(l.b(), 0); var l = ss.linear_regression().data([[0, 20], [1, 10]]); t.equal(l.m(), -10); t.equal(l.b(), 20);