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How to use significantlyChangedRows method in Best

Best JavaScript code snippet using best

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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