How to use computeSampleStats method in Best

Best JavaScript code snippet using best

index.ts

Source:index.ts

...6*/7import { VERSION } from './constants';8import { BenchmarkResultsSnapshot, BenchmarkResultNode, BenchmarkMetricNames, BenchmarkStats, AllBenchmarksMetricsMap, BenchmarkMetricsAggregate, AllBenchmarkMetricStatsMap, StatsNode, BenchmarkMetricStatsMap, StatsNodeGroup, MetricsStatsMap, FrozenProjectConfig } from "@best/types";9import { quantile, mean, median, variance, medianAbsoluteDeviation, compare as compareSamples } from './stats';10function computeSampleStats(arr: number[], samplesQuantileThreshold: number): BenchmarkStats {11    if (samplesQuantileThreshold < 1) {12        const q = quantile(arr, samplesQuantileThreshold);13        arr = arr.filter(v => v <= q);14    }15    return {16        samples: arr,17        sampleSize: arr.length,18        samplesQuantileThreshold,19        mean: mean(arr),20        median: median(arr),21        variance: variance(arr),22        medianAbsoluteDeviation: medianAbsoluteDeviation(arr),23    };24}25// Given an iteration benchmark (whith nested benchmarks), collect its metrics26function collectResults(resultNode: BenchmarkResultNode, collector: AllBenchmarksMetricsMap, projectConfig: FrozenProjectConfig) {27    const { name } = resultNode;28    let collectorNode = collector[name];29    if (!collectorNode) {30        const emptyMetrics = projectConfig.metrics.reduce((acc, key) => ({31            ...acc,32            [key as BenchmarkMetricNames]: []33        }), {})34        collectorNode = collector[name] = emptyMetrics;35    }36    if (resultNode.aggregate > 0 && collectorNode.aggregate) {37        collectorNode.aggregate.push(resultNode.aggregate);38    }39    if (resultNode.type === "benchmark") {40        const { metrics } = resultNode;41        Object.keys(metrics).reduce((collector: BenchmarkMetricsAggregate, key: string) => {42            const bucket = collector[key as BenchmarkMetricNames];43            const value = metrics[key as BenchmarkMetricNames];44            if (bucket && value) {45                bucket.push(value);46            }47            return collector;48        }, collectorNode);49    } else {50        resultNode.nodes.forEach((node: BenchmarkResultNode) => collectResults(node, collector, projectConfig));51    }52    return collector;53}54function createStatsStructure(node: BenchmarkResultNode, collector: AllBenchmarkMetricStatsMap): StatsNode {55    if (node.type === "benchmark") {56        const { name, type } = node;57        const metricStats = collector[name];58        const metrics = Object.keys(metricStats).reduce((metricReducer: MetricsStatsMap, metric: string) => {59            const stats = metricStats[metric as BenchmarkMetricNames];60            if (stats) {61                metricReducer[metric as BenchmarkMetricNames] = { stats };62            }63            return metricReducer;64        }, {});65        return { type, name, metrics };66    } else {67        const { name, type, nodes: children } = node;68        const nodes = children.map((childNode: BenchmarkResultNode) => createStatsStructure(childNode, collector))69        return { type, name, nodes };70    }71}72export async function analyzeBenchmarks(benchmarkResults: BenchmarkResultsSnapshot[]) {73    return Promise.all(74        // For each benchmark file runned...75        benchmarkResults.map(async (benchmarkResult: BenchmarkResultsSnapshot) => {76            const { results, benchmarkInfo: { benchmarkName }, projectConfig } = benchmarkResult;77            const structure = results[0];78            // Collect the metrics for the nested benchmarks within79            const collector: AllBenchmarksMetricsMap = results.reduce((reducer: AllBenchmarksMetricsMap, node: BenchmarkResultNode) => collectResults(node, reducer, projectConfig), {});80            // For each metric81            const benchmarkStats: AllBenchmarkMetricStatsMap = Object.keys(collector).reduce((stats: AllBenchmarkMetricStatsMap, benchmarkName: string) => {82                const benchmarkMetrics = collector[benchmarkName];83                stats[benchmarkName] = Object.keys(benchmarkMetrics).reduce((metricStats: BenchmarkMetricStatsMap, metric: string) => {84                    const metricResults = benchmarkMetrics[metric as BenchmarkMetricNames];85                    if (Array.isArray(metricResults) && metricResults.length > 0) {86                        metricStats[metric as BenchmarkMetricNames] = computeSampleStats(metricResults, projectConfig.samplesQuantileThreshold);87                    }88                    return metricStats;89                }, {});90                return stats;91            }, {});92            const benchmarkStructure = createStatsStructure(structure, benchmarkStats) as StatsNodeGroup;93            benchmarkResult.stats = {94                version: VERSION,95                benchmarkName,96                results: benchmarkStructure.nodes97            };98        }),99    );100}...

Using AI Code Generation

1var BestFitLine = require('BestFitLine');2var x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];3var y = [3, 5, 7, 9, 11, 13, 15, 17, 19, 21];4var bfl = new BestFitLine(x, y);5console.log(bfl.computeSampleStats());6var BestFitLine = function(x, y) {7    this.x = x;8    this.y = y;9};10BestFitLine.prototype.computeSampleStats = function() {11    var stats = {};12    stats["mean"] = 0;13    stats["variance"] = 0;14    stats["standardDeviation"] = 0;15    stats["correlation"] = 0;16    return stats;17};18module.exports = BestFitLine;19var BestFitLine = require('./BestFitLine');20var BestFitLine = require('BestFitLine');21var BestFitLine = require('./BestFitLine/BestFitLine');22Your name to display (optional):23Your name to display (optional):

Using AI Code Generation

1var BestBuy = require('./BestBuy');2var bestBuy = new BestBuy();3var sample = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];4var stats = bestBuy.computeSampleStats(sample);5console.log(stats);6var BestBuy = function() {7    this.computeSampleStats = function(sample) {8        return {9            min: Math.min.apply(null, sample),10            max: Math.max.apply(null, sample),11        };12    };13};14module.exports = BestBuy;

Using AI Code Generation

1var BestFitLine = require('./BestFitLine.js');2var bfl = new BestFitLine();3var x = [1,2,3,4,5];4var y = [2,4,6,8,10];5var stats = bfl.computeSampleStats(x,y);6console.log(stats);7var BestFitLine = require('./BestFitLine.js');8var bfl = new BestFitLine();9var x = [1,2,3,4,5];10var y = [2,4,6,8,10];11var stats = bfl.computeSampleStats(x,y);12console.log(stats);13var BestFitLine = require('./BestFitLine.js');14var bfl = new BestFitLine();15var x = [1,2,3,4,5];16var y = [2,4,6,8,10];17var stats = bfl.computeSampleStats(x,y);18console.log(stats);19var BestFitLine = require('./BestFitLine.js');20var bfl = new BestFitLine();21var x = [1,2,3,4,5];22var y = [2,4,6,8,10];23var stats = bfl.computeSampleStats(x,y);24console.log(stats);25var BestFitLine = require('./BestFitLine.js');26var bfl = new BestFitLine();27var x = [1,2,3,4,5];28var y = [2,4,6,8,10];29var stats = bfl.computeSampleStats(x,y);30console.log(stats);31var BestFitLine = require('./BestFitLine.js');32var bfl = new BestFitLine();33var x = [1,2,3,4,5];34var y = [2,4,6,8,10];35var stats = bfl.computeSampleStats(x,y);36console.log(stats);

Using AI Code Generation

1var bfl = require('./BestFitLine.js');2var b = new bfl.BestFitLine();3var x = [1,2,3,4,5,6,7,8,9,10];4var y = [2,3,4,5,6,7,8,9,10,11];5var stats = b.computeSampleStats(x,y);6console.log(stats);7var bfl = require('./BestFitLine.js');8var b = new bfl.BestFitLine();9var x = [1,2,3,4,5,6,7,8,9,10];10var y = [1,2,3,4,5,6,7,8,9,10];11var stats = b.computeSampleStats(x,y);12console.log(stats);13var bfl = require('./BestFitLine.js');14var b = new bfl.BestFitLine();15var x = [1,2,3,4,5,6,7,8,9,10];16var y = [10,9,8,7,6,5,4,3,2,1];17var stats = b.computeSampleStats(x,y);18console.log(stats);

Using AI Code Generation

1var BestFitLine = require('./BestFitLine.js');2var line1 = new BestFitLine();3var xData = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];4var yData = [2, 4, 6, 8, 10, 12, 14, 16, 18, 20];5var stats = line1.computeSampleStats(xData, yData);6console.log('slope: ' + stats.slope);7console.log('intercept: ' + stats.intercept);8console.log('r-squared: ' + stats.rSquared);9var BestFitLine = require('./BestFitLine.js');10var line1 = new BestFitLine();11var xData = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];12var yData = [2, 4, 6, 8, 10, 12, 14, 16, 18, 20];13var stats = line1.computeSampleStats(xData, yData);14console.log('slope: ' + stats.slope);15console.log('intercept: ' + stats.intercept);16console.log('r-squared: ' + stats.rSquared);17function BestFitLine() {18  this.slope = 0;19  this.intercept = 0;20  this.rSquared = 0;21  this.computeSampleStats = function(xData, yData) {22    var sumX = 0;23    var sumY = 0;24    var sumX2 = 0;25    var sumY2 = 0;26    var sumXY = 0;27    var n = xData.length;28    for (var i = 0; i < n; i++) {29      sumX += xData[i];30      sumY += yData[i];31      sumX2 += xData[i] * xData[i];32      sumY2 += yData[i] * yData[i];33      sumXY += xData[i] * yData[i];34    }35    var denom = (n * sumX2 -

Using AI Code Generation

1load("BestFitLine.js");2var bestFitLine = new BestFitLine();3var dataSet = [];4dataSet.push([1, 1]);5dataSet.push([2, 2]);6dataSet.push([3, 3]);7dataSet.push([4, 4]);8dataSet.push([5, 5]);9dataSet.push([6, 6]);10dataSet.push([7, 7]);11dataSet.push([8, 8]);12dataSet.push([9, 9]);13dataSet.push([10, 10]);14dataSet.push([11, 11]);15dataSet.push([12, 12]);16dataSet.push([13, 13]);17dataSet.push([14, 14]);18dataSet.push([15, 15]);19dataSet.push([16, 16]);20dataSet.push([17, 17]);21dataSet.push([18, 18]);22dataSet.push([19, 19]);23dataSet.push([20, 20]);24var stats = bestFitLine.computeSampleStats(dataSet);25print("The slope of the line is " + stats.slope);26print("The y-intercept of the line is " + stats.yIntercept);27print("The r-squared value of the line is " + stats.rSquared);28print("The equation of the line is y = " + stats.slope +29    " * x + " + stats.yIntercept);30print("The equation of the line is y = " +

Using AI Code Generation

1var BestFit = require("./BestFit");2var NormalDist = require("./NormalDist");3var Sample = require("./Sample");4var NormalDist = require("./NormalDist");5var sample = new Sample(1000);6var dist = new NormalDist(0,1);7var bestFit = new BestFit(sample,dist);8var stats = bestFit.computeSampleStats();9console.log(stats);10var BestFit = require("./BestFit");11var NormalDist = require("./NormalDist");12var Sample = require("./Sample");13var NormalDist = require("./NormalDist");14var sample = new Sample(1000);15var dist = new NormalDist(0,1);16var bestFit = new BestFit(sample,dist);17var stats = bestFit.computeSampleStats();18console.log(stats);19var BestFit = require("./BestFit");20var NormalDist = require("./NormalDist");21var Sample = require("./Sample");22var NormalDist = require("./NormalDist");23var sample = new Sample(1000);24var dist = new NormalDist(0,1);25var bestFit = new BestFit(sample,dist);26var stats = bestFit.computeSampleStats();27console.log(stats);28var BestFit = require("./BestFit");29var NormalDist = require("./NormalDist");30var Sample = require("./Sample");31var NormalDist = require("./NormalDist");32var sample = new Sample(1000);33var dist = new NormalDist(0,1);34var bestFit = new BestFit(sample,dist);35var stats = bestFit.computeSampleStats();36console.log(stats);

Using AI Code Generation

1var BestFitLine = require( './BestFitLine.js' );2var bfl = new BestFitLine();3var x = [];4for ( var i = 0; i < 1000; i++ ) {5  x.push( bfl.rnorm( 0, 1 ) );6}7var stats = bfl.computeSampleStats( x );8console.log( 'The sample mean is ' + stats.mean );9console.log( 'The sample variance is ' + stats.variance );10console.log( 'The sample standard deviation is ' + stats.stdev );11console.log( 'The sample skewness is ' + stats.skewness );12console.log( 'The sample kurtosis is ' + stats.kurtosis );

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.