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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 );

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