How to use tablesMarkdown method in Best

Best JavaScript code snippet using best

analyze.ts

Source:analyze.ts

1/*2 * Copyright (c) 2019, salesforce.com, inc.3 * All rights reserved.4 * SPDX-License-Identifier: MIT5 * For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/MIT6*/7import json2md from 'json2md';8import { BenchmarkComparison, ResultComparison, BenchmarkMetricNames, BenchmarkStats, ResultComparisonBenchmark, ResultComparisonGroup, ResultComparisonProject } from '@best/types';9interface MarkdownTable {10    table: {11        headers: string[];12        rows: string[][];13    }14}15interface SignificantlyChangedSummary {16    improved: string[][]17    regressed: string[][]18}19type GroupedTables = { [projectName: string]: MarkdownTable[] }20function padding(n: number) {21    return n > 022        ? Array.apply(null, Array((n - 1) * 3))23            .map(() => ' ')24            .join('') + 'ââ '25        : '';26}27function generateMarkdownFromGroupedTables(tables: GroupedTables) {28    const flattenedTables = Object.keys(tables).reduce((groups, projectName): json2md.DataObject[] => {29        groups.push({ h2: `*${projectName}*` });30        groups.push(...tables[projectName]);31        return groups;32    }, <json2md.DataObject[]>[])33    return json2md(flattenedTables);34}35function generateRow(36    name: string,37    metrics: {38        baseStats: BenchmarkStats;39        targetStats: BenchmarkStats;40        samplesComparison: 0 | 1 | -1;41    },42    includeEmojiTrend: boolean43): string[] {44    const baseStats = metrics.baseStats;45    const targetStats = metrics.targetStats;46    const samplesComparison = metrics.samplesComparison;47    const percentage = (Math.abs(baseStats.median - targetStats.median) / baseStats.median) * 100;48    const relativeTrend = targetStats.median - baseStats.median;49    const sign = Math.sign(relativeTrend) === 1 ? '+' : '';50    const comparisonEmoji = (samplesComparison === 0 ? 'ð' : samplesComparison === 1 ? 'ð' : 'ð');51    return [52        name,53        `${baseStats.median.toFixed(2)} (Â± ${baseStats.medianAbsoluteDeviation.toFixed(2)}ms)`,54        `${targetStats.median.toFixed(2)} (Â± ${targetStats.medianAbsoluteDeviation.toFixed(2)}ms)`,55        sign + relativeTrend.toFixed(1) + 'ms (' + percentage.toFixed(1) + '%)' + (includeEmojiTrend ? ` ${comparisonEmoji}` : '')56    ]57}58function generateRowsFromComparison<RowType>(stats: ResultComparison, handler: (node: ResultComparisonBenchmark, parentName: string) => RowType[], name: string = '', initialRows: RowType[] = []) {59    if (stats.type === "project" || stats.type === "group") {60        return stats.comparisons.reduce((rows, node): RowType[] => {61            if (node.type === "project" || node.type === "group") {62                return generateRowsFromComparison(node, handler, node.name, rows);63            } else if (node.type === "benchmark") {64                rows.push(...handler(node, name));65            }66            return rows;67        }, initialRows);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 (\`${target}\`)`, 'trend'],152                    rows: changes.regressed153                }154            });155        }156        return tables;157    })158}159function generateAllRowsTable(baseCommit: string, targetCommit: string, stats: ResultComparison): MarkdownTable {160    const { name: benchmarkName } = stats;161    const mdName = benchmarkName.replace('.benchmark', '');162    return {163        table: {164            headers: [`${mdName}`, `base (\`${baseCommit}\`)`, `target (\`${targetCommit}\`)`, 'trend'],165            rows: generateAllRows(stats)166        }167    }168}169export function generateComparisonComment(result: BenchmarkComparison) {170    const tablesMarkdown = generateCommentWithTables(result, (node, base, target) => {171        const tables = node.comparisons.map(child => {172            return generateAllRowsTable(base, target, child);173        })174        return tables;175    });176    return `# Full Results\n\n${tablesMarkdown}`;177}178// this takes all the results and recursively goes through them179// then it creates a flat list of all of the percentages of change180export function generatePercentages(stats: ResultComparison): number[] {181    return generateRowsFromComparison(stats, (node, parentName) => {182        const rows: number[] = [];183        Object.keys(node.metrics).map(metricName => {184            const metrics = node.metrics[metricName as BenchmarkMetricNames];185            if (metrics) {186                const { baseStats, targetStats, samplesComparison } = metrics;187                const baseMed = baseStats.median;188                const targetMed = targetStats.median;189    190                const percentage = Math.abs((baseMed - targetMed) / baseMed * 100);191                const relativeTrend = targetMed - baseMed;192                // ensures passes Mann-Whiteney U test and results are more than 1ms193                if (samplesComparison !== 0 && baseMed > 1 && targetMed > 1) {194                    rows.push(Math.sign(relativeTrend) * percentage);195                } else {196                    rows.push(0); // otherwise we count it as zero197                }198            }199        })200        return rows;201    })...

Using AI Code Generation

1const { tablesMarkdown } = require('@daisy/ace-core');2];3console.log(tablesMarkdown(table));4const { tablesMarkdown } = require('@daisy/ace-core');5];6console.log(tablesMarkdown(table, { align: 'right' }));7const { tablesMarkdown } = require('@daisy/ace-core');8];9console.log(tablesMarkdown(table, { align: 'left' }));10const { tablesMarkdown } = require('@daisy/ace-core');11];12console.log(tablesMarkdown(table, { align: 'center' }));13const { tablesMarkdown } = require('@daisy/ace-core');

Using AI Code Generation

1var BestBuy = require('./BestBuy.js');2var bestBuy = new BestBuy();3var table = bestBuy.tablesMarkdown("tv");4console.log(table);5var request = require('request');6var cheerio = require('cheerio');7var Table = require('cli-table');8function BestBuy() {9}10BestBuy.prototype.getTvs = function(callback) {11  request(this.url, function(error, response, body) {12    if (!error && response.statusCode == 200) {13      callback(body);14    }15  });16};17BestBuy.prototype.tablesMarkdown = function(type) {18  var self = this;19  if (type == "tv") {20    self.getTvs(function(body) {21      var $ = cheerio.load(body);22      var table = new Table({23      });24      $('div.item-info').each(function(i, element) {25        var name = $(element).find('a').text();26        var price = $(element).find('div.priceView-hero-price span').text();27        var image = $(element).find('img').attr('src');28        table.push([name, price, image]);29      });30      console.log(table.toString());31    });32  }33};34module.exports = BestBuy;35{36  "dependencies": {37  },38  "devDependencies": {},39  "scripts": {40  },41}42var BestBuy = require('./BestBuy.js');

Using AI Code Generation

1var BestMatch = require('BestMatch');2var list1 = ["one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten"];3var list2 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];4var table = new BestMatch();5var result = table.tablesMarkdown(list1, list2);6console.log(result);

Using AI Code Generation

1var BestPractice = require('bestpractice');2var bp = new BestPractice();3var table = bp.createTable();4var tableMarkdown = bp.tablesMarkdown(table);5var markdownFile = bp.createMarkdownFile(tableMarkdown);6var htmlFile = bp.createHtmlFile(markdownFile);7var BestPractice = require('bestpractice');8var bp = new BestPractice();9var table = bp.createTable();10var tableMarkdown = bp.tablesMarkdown(table);11var markdownFile = bp.createMarkdownFile(tableMarkdown);12var htmlFile = bp.createHtmlFile(markdownFile);13var pdfFile = bp.createPdfFile(htmlFile);14var BestPractice = require('bestpractice');15var bp = new BestPractice();16var table = bp.createTable();17var tableMarkdown = bp.tablesMarkdown(table);18var markdownFile = bp.createMarkdownFile(tableMarkdown);19var htmlFile = bp.createHtmlFile(markdownFile);20var pdfFile = bp.createPdfFile(htmlFile);21var docxFile = bp.createDocxFile(pdfFile);

Using AI Code Generation

1var table = document.getElementById("table");2var tableArray = new Array();3tableArray[0] = new Array("Name", "Age", "City", "State", "Country", "Zip Code");4tableArray[1] = new Array("John Doe", "45", "New York", "NY", "USA", "10001");5tableArray[2] = new Array("Jane Doe", "23", "New York", "NY", "USA", "10001");6tableArray[3] = new Array("Joe Smith", "34", "New York", "NY", "USA", "10001");7tableArray[4] = new Array("Jane Smith", "23", "New York", "NY", "USA", "10001");8tableArray[5] = new Array("Joe Bloggs", "34", "New York", "NY", "USA", "10001");9tableArray[6] = new Array("Jane Bloggs", "23", "New York", "NY", "USA", "10001");10tableArray[7] = new Array("John Smith", "34", "New York", "NY", "USA", "10001");11tableArray[8] = new Array("Jane Doe", "23", "New York", "NY", "USA", "10001");12tableArray[9] = new Array("Joe Bloggs", "34", "New York", "NY", "USA", "10001");13tableArray[10] = new Array("Jane Bloggs", "23", "New York", "NY", "USA", "10001");14table.innerHTML = tablesMarkdown(tableArray);

Using AI Code Generation

1var bestResults = [];2bestResults.push(new BestResult("A", 3, 3, 3, 3));3bestResults.push(new BestResult("B", 2, 2, 2, 2));4bestResults.push(new BestResult("C", 1, 1, 1, 1));5var table = BestResult.tablesMarkdown(bestResults);6document.write(table);

Using AI Code Generation

1const BestPractice = require('bestpractice');2const bestpractice = new BestPractice();3const fs = require('fs');4const path = require('path');5const myPath = path.join(__dirname, 'test3.md');6const myPath2 = path.join(__dirname, 'test4.md');7const myPath3 = path.join(__dirname, 'test5.md');8const myPath4 = path.join(__dirname, 'test6.md');9const myPath5 = path.join(__dirname, 'test7.md');10const myPath6 = path.join(__dirname, 'test8.md');11const myPath7 = path.join(__dirname, 'test9.md');12const myPath8 = path.join(__dirname, 'test10.md');13const myPath9 = path.join(__dirname, 'test11.md');14const myPath10 = path.join(__dirname, 'test12.md');15const myPath11 = path.join(__dirname, 'test13.md');16const myPath12 = path.join(__dirname, 'test14.md');17const myPath13 = path.join(__dirname, 'test15.md');18const myPath14 = path.join(__dirname, 'test16.md');19const myPath15 = path.join(__dirname, 'test17.md');20const myPath16 = path.join(__dirname, 'test18.md');21const myPath17 = path.join(__dirname, 'test19.md');22const myPath18 = path.join(__dirname, 'test20.md');23const myPath19 = path.join(__dirname, 'test21.md');24const myPath20 = path.join(__dirname, 'test22.md');25const myPath21 = path.join(__dirname, 'test23.md');26const myPath22 = path.join(__dirname, 'test24.md');27const myPath23 = path.join(__dirname, 'test25.md');28const myPath24 = path.join(__dirname, 'test26.md');29const myPath25 = path.join(__dirname, 'test27.md');30const myPath26 = path.join(__dirname, 'test28.md');31const myPath27 = path.join(__dirname, 'test29.md');32const myPath28 = path.join(__dirname, '

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