# How to use significantlyChangedRows method in Best

Best JavaScript code snippet using best

analyze.ts

Source:analyze.ts

`...68 } else {69 return initialRows;70 }71}72function significantlyChangedRows(stats: ResultComparison, threshold: number, name: string = '', initialRows: SignificantlyChangedSummary = { improved: [], regressed: [] }) {73 const highThreshold = Math.abs(threshold); // handle whether the threshold is positive or negative74 const lowThreshold = -1 * highThreshold;75 if (stats.type === "project" || stats.type === "group") {76 return stats.comparisons.reduce((rows, node): SignificantlyChangedSummary => {77 if (node.type === "project" || node.type === "group") {78 return significantlyChangedRows(node, threshold, node.name, rows);79 } else if (node.type === "benchmark") {80 // for the significantly changed summary, we only check for aggregate81 const metrics = node.metrics.aggregate;82 if (metrics) {83 const { baseStats, targetStats, samplesComparison } = metrics;84 85 if (samplesComparison !== 0 && baseStats.median > 1 && targetStats.median > 1) { // ensures passes Mann-Whiteney U test and results are more than 1ms86 const percentage = (Math.abs(baseStats.median - targetStats.median) / baseStats.median) * 100;87 const relativeTrend = targetStats.median - baseStats.median;88 const relativePercentage = Math.sign(relativeTrend) * percentage;89 const row = generateRow(`\${name}/\${node.name}`, metrics, false);90 if (relativePercentage < lowThreshold) { // less than a negative is GOOD (things got faster)91 rows.improved.push(row);92 } else if (relativePercentage > highThreshold) { // more than a positive is WORSE (things got slower)93 rows.regressed.push(row);94 }95 }96 }97 }98 return rows;99 }, initialRows)100 } else {101 return initialRows;102 }103}104function generateAllRows(stats: ResultComparison) {105 return generateRowsFromComparison(stats, (node, parentName) => {106 const rows: string[][] = [];107 const emptyFields = Array.apply(null, Array(3)).map(() => '-');108 rows.push([`\${parentName}/\${node.name}`, ...emptyFields]);109 Object.keys(node.metrics).forEach(metric => {110 const metrics = node.metrics[metric as BenchmarkMetricNames];111 if (metrics) {112 rows.push(generateRow(padding(1) + metric, metrics, true));113 }114 })115 return rows;116 })117}118function generateCommentWithTables(result: BenchmarkComparison, handler: (node: ResultComparisonProject | ResultComparisonGroup, baseCommit: string, targetCommit: string) => MarkdownTable[]) {119 const { baseCommit, targetCommit, comparisons } = result;120 const grouped: GroupedTables = comparisons.reduce((tables, node): GroupedTables => {121 if (node.type === "project" || node.type === "group") {122 const markdownTables = handler(node, baseCommit, targetCommit);123 if (markdownTables.length) {124 return {125 ...tables,126 [node.name]: markdownTables127 }128 }129 return tables;130 }131 return tables;132 }, <GroupedTables>{});133 return generateMarkdownFromGroupedTables(grouped);134}135export function generateComparisonSummary(result: BenchmarkComparison, threshold: number) {136 return generateCommentWithTables(result, (node, base, target) => {137 const changes = significantlyChangedRows(node, threshold);138 const tables: MarkdownTable[] = [];139 140 if (changes.improved.length) {141 tables.push({142 table: {143 headers: [`â Improvements`, `base (\`\${base}\`)`, `target (\`\${target}\`)`, 'trend'],144 rows: changes.improved145 }146 })147 }148 if (changes.regressed.length) {149 tables.push({150 table: {151 headers: [`â Regressions`, `base (\`\${base}\`)`, `target (\`\${target}\`)`, 'trend'],...`

Using AI Code Generation

`1\$(document).ready(function() {2 \$("#best_in_place").best_in_place();3 \$("#best_in_place").bind("ajax:success", function(evt, data, status, xhr) {4 var changed = \$(this).best_in_place("significantlyChangedRows");5 if (changed) {6 alert("The value has changed");7 } else {8 alert("The value has not changed");9 }10 });11});12var changed = \$(this).best_in_place("significantlyChangedRows", 0.01);13var oldValue = \$(this).best_in_place("oldValue");14var newValue = \$(this).best_in_place("newValue");15var oldValue = \$(this).best_in_place("oldValue", true);16var newValue = \$(this).best_in_place("newValue", true);17var oldValue = \$(this).best_in_place("oldValue", true);18var newValue = \$(this).best_in_place("newValue`

Using AI Code Generation

`1var bestFitTable = new BestFitTable();2 { "name": "John", "age": 25, "city": "New York" },3 { "name": "Peter", "age": 27, "city": "London" },4 { "name": "Mark", "age": 29, "city": "Paris" },5 { "name": "John", "age": 25, "city": "New York" },6 { "name": "Peter", "age": 27, "city": "London" },7 { "name": "Mark", "age": 29, "city": "Paris" },8 { "name": "John", "age": 25, "city": "New York" },9 { "name": "Peter", "age": 27, "city": "London" },10 { "name": "Mark", "age": 29, "city": "Paris" },11 { "name": "John", "age": 25, "city": "New York" },12 { "name": "Peter", "age": 27, "city": "London" },13 { "name": "Mark", "age": 29, "city": "Paris" },14 { "name": "John", "age": 25, "city": "New York" },15 { "name": "Peter", "age": 27, "city": "London" },16 { "name": "Mark", "age": 29, "city": "Paris" },17 { "name": "John", "age": 25, "city": "New York" },18 { "name": "Peter", "age": 27, "city": "London" },19 { "name": "Mark", "age": 29, "city": "Paris" },20 { "name": "John", "age": 25, "city": "New York" },21 { "name": "Peter", "age": 27, "city": "London" },22 { "name": "Mark", "age": 29, "city": "Paris" },23 { "name": "John", "age": 25, "city": "New York" },24 { "name": "Peter", "age":`

Using AI Code Generation

`1var bestInPlace = require("best_in_place");2var rows = bestInPlace.significantlyChangedRows();3var rowsAsJson = JSON.stringify(rows);4var xhr = new XMLHttpRequest();5xhr.open("POST", "/update", true);6xhr.setRequestHeader('Content-Type', 'application/json');7xhr.send(rowsAsJson);8var rows = JSON.parse(request.body);9for (var i = 0; i < rows.length; i++) {10 var row = rows[i];11 var id = row.id;12 var name = row.name;13 var value = row.value;14}`

Using AI Code Generation

`1var table = new BestFitTable();2table.loadFromCSVFile("data.csv");3var rows = table.significantlyChangedRows();4var row;5for (row in rows)6{7 print(row + " " + rows[row].get("name") + " " + rows[row].get("value"));8}`

Using AI Code Generation

`1var table = new BestFitTable("table");2table.addRow();3table.addCell(0);4table.addCell(0);5table.addCell(0);6table.addRow();7table.addCell(1);8table.addCell(1);9table.addCell(1);10table.addRow();11table.addCell(2);12table.addCell(2);13table.addCell(2);14table.addRow();15table.addCell(3);16table.addCell(3);17table.addCell(3);18table.addRow();19table.addCell(4);20table.addCell(4);21table.addCell(4);22table.addRow();23table.addCell(5);24table.addCell(5);25table.addCell(5);26table.addRow();27table.addCell(6);28table.addCell(6);29table.addCell(6);30table.addRow();`

Using AI Code Generation

`1var table = new Packages.com.jeta.abeille.gui.queryresults.BestFitTable();2var model = new Packages.com.jeta.abeille.gui.queryresults.QueryModel();3for ( var i = 0; i < 100; i++ ) {4 var row = new Packages.java.util.Vector();5 row.add( new Packages.java.lang.Integer( i ) );6 row.add( new Packages.java.lang.String( "row " + i ) );7 model.addRow( row );8}9table.setModel( model );10for ( var i = 0; i < 10; i++ ) {11 var row = new Packages.java.util.Vector();12 row.add( new Packages.java.lang.Integer( i ) );13 row.add( new Packages.java.lang.String( "row " + i + " changed" ) );14 model.updateRow( i, row );15}16var list = table.significantlyChangedRows();17print( "Significantly changed rows: " + list );18for ( var i = 0; i < list.size(); i++ ) {19 var index = list.get( i );20 table.setRowColor( index, Packages.java.awt.Color.yellow );21}22for ( var i = 0; i < model.getRowCount(); i++ ) {23 print( "Row " + i + " = " + model.getValueAt( i, 0 ) + ", " + model.getValueAt( i, 1 ) + ", " + table.getRowColor( i ) );24}25for ( var i = 0; i < model.getRowCount(); i++ ) {26 print( "Row " + i + " = " + model.getValueAt( i, 0 ) + ", " + model.getValueAt( i, 1 ) + ", " + table.getRowColor( i ) );27}28var table = new Packages.com.jeta.abeille.gui.queryresults.BestFitTable();29var model = new Packages.com.jeta.abeille.gui.queryresults.QueryModel();30for ( var i = 0; i < 100;`

Using AI Code Generation

`1importPackage(Packages.com.appliedminds.martinix.ui);2var table = event.getSource();3var row = event.getRow();4var col = event.getColumn();5var changed = table.significantlyChangedRows(row, row);6if (changed == true) {7 print("Row " + row + " has changed");8} else {9 print("Row " + row + " has not changed");10}11importPackage(Packages.com.appliedminds.martinix.ui);12var table = event.getSource();13var row = event.getRow();14var col = event.getColumn();15var changed = table.significantlyChangedRows(row, row);16if (changed == true) {17 print("Row " + row + " has changed");18} else {19 print("Row " + row + " has not changed");20}21importPackage(Packages.com.appliedminds.martinix.ui);22var table = event.getSource();23var row = event.getRow();24var col = event.getColumn();25var changed = table.significantlyChangedRows(row, row);26if (changed == true) {27 print("Row " + row + " has changed");28} else {29 print("Row " + row + " has not changed");30}31importPackage(Packages.com.appliedminds.martinix.ui);32var table = event.getSource();`

Using AI Code Generation

`1var changedRow;2var changedValue;3var changedId;4var changedValue;5var changedId;6var changedRowId;7var changedRowValue;8var changedColumnId;9var changedColumnValue;10var changedColumnValue;11var changedColumnId;12var changedColumnValue;13var changedColumnId;14var changedColumnValue;15var changedColumnId;16var changedColumnValue;17var changedColumnId;18var changedColumnValue;19var changedColumnId;20var changedColumnValue;21var changedColumnId;22var changedColumnValue;23var changedColumnId;24var changedColumnValue;25var changedColumnId;26var changedColumnValue;`

Using AI Code Generation

`1var BestFit = require("BestFit.js");2var Matrix = require("Matrix.js");3var Vector = require("Vector.js");4var x = new Vector([0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);5var y = new Vector([0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);6var bf = new BestFit(x, y);7var bestFitRows = bf.significantlyChangedRows(0.05);8var bestFitFunction = bf.bestFitFunction(bestFitRows);9var bestFitFunctionLeastSquares = bf.bestFitFunctionLeastSquares();10var bestFitFunctionLeastAbsoluteDeviations = bf.bestFitFunctionLeastAbsoluteDeviations();11var bestFitFunctionLeastSquaresWeights = bf.bestFitFunctionLeastSquaresWeights();12var bestFitFunctionLeastAbsoluteDeviationsWeights = bf.bestFitFunctionLeastAbsoluteDeviationsWeights();13var bestFitFunctionLeastSquaresWeightsFunction = bf.bestFitFunctionLeastSquaresWeightsFunction();14var bestFitFunctionLeastAbsoluteDeviationsWeightsFunction = bf.bestFitFunctionLeastAbsoluteDeviationsWeightsFunction();15console.log("bestFitRows = " + bestFitRows);16console.log("bestFitFunction = " + bestFitFunction);17console.log("bestFitFunctionLeastSquares = " + bestFitFunctionLeastSquares);18console.log("bestFitFunctionLeastAbsoluteDeviations = " + bestFitFunctionLeastAbsoluteDeviations);19console.log("bestFit`

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