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How to use rows.map method in qawolf

Best JavaScript code snippet using qawolf

csvgraphs.js

Source:csvgraphs.js

...27                name3 = 'graph-' + val + '3';28                name4 = 'graph-' + val + '4';29                Plotly.d3.csv(path, function(err, rows) {30                    trace00 = {31                        x: rows.map(function(row) { return row['Year'] }),32                        y: rows.map(function(row) { return row['ArticleCount'] }),33                        name: 'ArticleCount',34                        text: rows.map(function(row) { return row['Month'] }),35                        type: 'bar',36                        xaxis: 'x',37                        yaxis: 'y',38                    };39                    trace01 = {40                        x: rows.map(function(row) { return row['Year'] }),41                        y: rows.map(function(row) { return row['CitationCount'] }),42                        name: 'CitationCount',43                        text: rows.map(function(row) { return row['Month'] }),44                        type: 'bar',45                    };46                    data0 = [trace00, trace01];47                    layout0 = {48                        autosize: true,49                        hovermode: 'closest',50                        title: "Article count vs Citation Count",51                        xaxis: {52                            autorange: true,53                            domain: [0, 1],54                            range: [2004.5, 2016.5],55                            type: 'linear'56                        },57                        yaxis: {58                            autorange: true,59                            domain: [0, 1],60                            range: [0, 100],61                            type: 'linear'62                        }63                    };64                    Plotly.plot(name1, {65                        data: data0,66                        layout: layout0,67                    });68                    Plotly.d3.csv(path, function(err, rows) {69                        var POP_TO_PX_SIZE = 2e10;70                        var trace1 = {71                            mode: 'markers',72                            type: 'bar',73                            x: rows.map(function(row) { return row['Year'] }),74                            y: rows.map(function(row) { return row['CitationCount'] }),75                            text: rows.map(function(row) { return row['Name'] }),76                        };77                        layout1 = {78                            autosize: true,79                            hovermode: 'closest',80                            legend: {81                                x: 0.5,82                                y: -0.25,83                                orientation: "h",84                                traceorder: "normal",85                                xanchor: "center",86                            },87                            title: "Citation count vs Year",88                            xaxis: {89                                autorange: true,90                                range: [2009.5, 2016.5],91                                title: 'Year',92                                type: 'linear'93                            },94                            yaxis: {95                                autorange: true,96                                range: [0, 4047.36842105],97                                title: 'Citation Count',98                                type: 'linear'99                            }100                        };101                        Plotly.plot(name2, [trace1], layout1, { showLink: false });102                    });103                    Plotly.d3.csv(path, function(err, rows) {104                        var POP_TO_PX_SIZE = 2e10;105                        var trace2 = {106                            mode: 'markers',107                            type: 'bar',108                            x: rows.map(function(row) { return row['Year'] }),109                            y: rows.map(function(row) { return row['ArticleCount'] }),110                            text: rows.map(function(row) { return row['Name'] }),111                        };112                        var layout2 = {113                            autosize: true,114                            hovermode: "closest",115                            legend: {116                                x: 0.5,117                                y: -0.25,118                                orientation: "h",119                                traceorder: "normal",120                                xanchor: "center"121                            },122                            title: "Article count vs Year",123                            xaxis: {124                                autorange: true,125                                fixedrange: false,126                                range: [1982.5, 2016.5],127                                title: "Year",128                                type: "linear"129                            },130                            yaxis: {131                                autorange: true,132                                range: [0, 33.6842105263],133                                title: "Article Count",134                                type: "linear"135                            }136                        };137                        Plotly.plot(name3, [trace2], layout2, { showLink: false });138                    });139                    Plotly.d3.csv(path, function(err, rows) {140                        var POP_TO_PX_SIZE = 2e10;141                        var trace3 = {142                            mode: 'markers',143                            type: 'pie',144                            direction: "counterclockwise",145                            hoverinfo: "label+value+text+percent",146                            sort: true,147                            textinfo: "value+percent",148                            labels: rows.map(function(row) { return row['Month'] }),149                            values: rows.map(function(row) { return row['ArticleCount'] }),150                            text: rows.map(function(row) { return row['Name'] }),151                        };152                        var layout3 = {153                            autosize: true,154                            hovermode: "closest",155                            legend: {156                                x: 1.00343949045,157                                y: 0.910994764398158                            },159                            title: "Article Count per month"160                        };161                        Plotly.plot(name4, [trace3], layout3, { showLink: false });162                    });163                    $('select').on('change', function() { // delete traces to avoid overlaing164                        Plotly.deleteTraces(name1, 0);165                        Plotly.deleteTraces(name1, 0);166                        Plotly.deleteTraces(name2, 0);167                        Plotly.deleteTraces(name3, 0);168                        Plotly.deleteTraces(name4, 0);169                    })170                });171            }172        });173    }).change();174});175var data = [];176var arr = [];177var options = ["Choose", "All Journal Data"];178var journals = ["random", "random"]179path = "../files/graphcsv/Journals.csv"180Papa.parse(path, {181    download: true,182    complete: function(results) {183        arr = $.makeArray(results.data)184        for (i = 1; i < arr.length - 1; i++) {185            options.push(arr[i][0]); // append journals list to options186            journals.push(arr[i][0]);187        }188        var elm = document.getElementById('graphs'), // get the select189            df = document.createDocumentFragment(); // create a document fragment to hold the options while we create them190        for (var i = 0; i < options.length; i++) {191            var option = document.createElement('option'); // create the option element192            option.value = i; // set the value property193            option.appendChild(document.createTextNode(options[i])); // set the textContent in a safe way.194            df.appendChild(option); // append the option to the document fragment195        }196        elm.appendChild(df); // append the document fragment to the DOM. this is the better way rather than setting innerHTML a bunch of times (or even once with a long string)197    }198});199Plotly.d3.csv('../files/graphcsv/ScholasticIndices.csv', function(err, rows) {200    var trace1 = {201        mode: 'markers',202        type: 'scatter',203        x: rows.map(function(row) { return row['Self citation'] }),204        y: rows.map(function(row) { return row['Total Citation'] }),205        text: rows.map(function(row) {206            str = row['Journal name'] + "<br>" + row['JIMI']207            return str208        }),209        marker: {210            sizemode: 'area',211            size: rows.map(function(row) { return row['JIMI'] * 200 }),212        }213    };214    var layout1 = {215        hovermode: "closest",216        title: "Self citation count vs total citation count" + "<br> with internationality score ",217        xaxis: {218            autorange: true,219            range: [-2075.59709325, 33446.7218862],220            title: "Total citation count",221            type: "linear"222        },223        yaxis: {224            autorange: true,225            range: [43.5581236359, 516.996793001],226            title: "Total article count",227            type: "linear"228        }229    };230    Plotly.plot('my-graph1', [trace1], layout1, { showLink: false });231});232Plotly.d3.csv('../files/graphcsv/generateAllArticleCitvsYear.csv', function(err, rows) {233    var trace2 = {234        mode: 'markers',235        type: 'bar',236        x: rows.map(function(row) { return row['Year'] }),237        y: rows.map(function(row) { return row['CitationCount'] }),238        text: rows.map(function(row) { return row['Name'] }),239    };240    layout2 = {241        hovermode: 'closest',242        title: "Citation count vs Year",243        xaxis: {244            autorange: true,245            range: [2009.5, 2016.5],246            title: 'Year',247            type: 'linear'248        },249        yaxis: {250            autorange: true,251            range: [0, 4047.36842105],252            title: 'Citation Count',253            type: 'linear'254        }255    };256    Plotly.plot('my-graph2', [trace2], layout2, { showLink: false });257});258Plotly.d3.csv('../files/graphcsv/generateAllArticleCitvsYear.csv', function(err, rows) {259    var trace3 = {260        mode: 'markers',261        type: 'bar',262        x: rows.map(function(row) { return row['Year'] }),263        y: rows.map(function(row) { return row['ArticleCount'] }),264        text: rows.map(function(row) { return row['Name'] }),265    };266    var layout3 = {267        hovermode: "closest",268        title: "Article count vs Year",269        xaxis: {270            autorange: true,271            fixedrange: false,272            range: [1982.5, 2016.5],273            title: "Year",274            type: "linear"275        },276        yaxis: {277            autorange: true,278            range: [0, 33.6842105263],279            title: "Article Count",280            type: "linear"281        }282    };283    Plotly.plot('my-graph3', [trace3], layout3, { showLink: false });284});285Plotly.d3.csv('../files/graphcsv/generateAllArticleCitvsYear.csv', function(err, rows) {286    var POP_TO_PX_SIZE = 2e10;287    var trace4 = {288        mode: 'markers',289        type: 'pie',290        direction: "counterclockwise",291        hoverinfo: "label+value+text+percent",292        sort: true,293        textinfo: "value+percent",294        labels: rows.map(function(row) { return row['Month'] }),295        values: rows.map(function(row) { return row['ArticleCount'] }),296        text: rows.map(function(row) { return row['Name'] }),297    };298    var layout4 = {299        hovermode: "closest",300        legend: {301            x: 1.00343949045,302            y: 0.910994764398303        },304        title: "Article Count per month"305    };306    Plotly.plot('my-graph4', [trace4], layout4, { showLink: false });...

graph.js

Source:graph.js

...30    name3 = 'graph-' + test + '3';31    name4 = 'graph-' + test + '4';32    Plotly.d3.csv(path, function(err, rows) {33        trace00 = {34            x: rows.map(function(row) {35                return row['Year']36            }),37            y: rows.map(function(row) {38                return row['ArticleCount']39            }),40            name: 'ArticleCount',41            text: rows.map(function(row) {42                return row['Month']43            }),44            type: 'bar',45            xaxis: 'x',46            yaxis: 'y'47        };48        trace01 = {49            x: rows.map(function(row) {50                return row['Year']51            }),52            y: rows.map(function(row) {53                return row['CitationCount']54            }),55            name: 'CitationCount',56            text: rows.map(function(row) {57                return row['Month']58            }),59            type: 'bar'60        };61        data0 = [trace00, trace01];62        layout0 = {63            autosize: true,64            hovermode: 'closest',65            title: "Article count vs Citation Count",66            xaxis: {67                autorange: true,68                domain: [69                    0, 170                ],71                range: [72                    2004.5, 2016.573                ],74                type: 'linear'75            },76            yaxis: {77                autorange: true,78                domain: [79                    0, 180                ],81                range: [82                    0, 10083                ],84                type: 'linear'85            }86        };87        Plotly.plot(name1, {88            data: data0,89            layout: layout090        });91        Plotly.d3.csv(path, function(err, rows) {92            var POP_TO_PX_SIZE = 2e10;93            var trace1 = {94                mode: 'markers',95                type: 'bar',96                x: rows.map(function(row) {97                    return row['Year']98                }),99                y: rows.map(function(row) {100                    return row['CitationCount']101                }),102                text: rows.map(function(row) {103                    return row['Name']104                })105            };106            layout1 = {107                autosize: true,108                hovermode: 'closest',109                legend: {110                    x: 0.5,111                    y: -0.25,112                    orientation: "h",113                    traceorder: "normal",114                    xanchor: "center"115                },116                title: "Citation count vs Year",117                xaxis: {118                    autorange: true,119                    range: [120                        2009.5, 2016.5121                    ],122                    title: 'Year',123                    type: 'linear'124                },125                yaxis: {126                    autorange: true,127                    range: [128                        0, 4047.36842105129                    ],130                    title: 'Citation Count',131                    type: 'linear'132                }133            };134            Plotly.plot(name2, [trace1], layout1, {showLink: false});135        });136        Plotly.d3.csv(path, function(err, rows) {137            var POP_TO_PX_SIZE = 2e10;138            var trace2 = {139                mode: 'markers',140                type: 'bar',141                x: rows.map(function(row) {142                    return row['Year']143                }),144                y: rows.map(function(row) {145                    return row['ArticleCount']146                }),147                text: rows.map(function(row) {148                    return row['Name']149                })150            };151            var layout2 = {152                autosize: true,153                hovermode: "closest",154                legend: {155                    x: 0.5,156                    y: -0.25,157                    orientation: "h",158                    traceorder: "normal",159                    xanchor: "center"160                },161                title: "Article count vs Year",162                xaxis: {163                    autorange: true,164                    fixedrange: false,165                    range: [166                        1982.5, 2016.5167                    ],168                    title: "Year",169                    type: "linear"170                },171                yaxis: {172                    autorange: true,173                    range: [174                        0, 33.6842105263175                    ],176                    title: "Article Count",177                    type: "linear"178                }179            };180            Plotly.plot(name3, [trace2], layout2, {showLink: false});181        });182        Plotly.d3.csv(path, function(err, rows) {183            var POP_TO_PX_SIZE = 2e10;184            var trace3 = {185                mode: 'markers',186                type: 'pie',187                direction: "counterclockwise",188                hoverinfo: "label+value+text+percent",189                sort: true,190                textinfo: "value+percent",191                labels: rows.map(function(row) {192                    return row['Month']193                }),194                values: rows.map(function(row) {195                    return row['ArticleCount']196                }),197                text: rows.map(function(row) {198                    return row['Name']199                })200            };201            var layout3 = {202                autosize: true,203                hovermode: "closest",204                legend: {205                    x: 1.00343949045,206                    y: 0.910994764398207                },208                title: "Article Count per month"209            };210            Plotly.plot(name4, [trace3], layout3, {showLink: false});211        });...

group-rows-layout.js

Source:group-rows-layout.js

1import _ from 'underscore'2const separator = 'âµ'3export function createGroupRowsLayout () {4  let groupings = []5  let nestedRowsMap6  function groupRowsLayout (d) {7    if (!groupings.length) return d8    return group(0, d)9    function group (depth, rows, previousKey) {10      if (depth >= groupings.length) return rows11      const grouping = groupings[depth]12      const key = grouping.key13      const rollupKey = previousKey || ''14      const rollup = _.partial(grouping.rollup, _, grouping)15      const parentRowByKey = {}16      const groupedRows = []17      if (!nestedRowsMap) nestedRowsMap = {}18      rows.forEach(categorize)19      const rolledUpRows = groupedRows.map(rollup)20      if (depth < groupings.length) rolledUpRows.forEach(groupChildren)21      return rolledUpRows22      function groupChildren (row) {23        if (!row.children) return24        row.children = group(25          depth + 126        , row.children27        , row.isRollup ? row.rollupRowKey : ''28        )29      }30      function categorize (row) {31        const k = key(row)32        const rowKey = rollupKey + (rollupKey ? separator : '') + k33        let parentRow = parentRowByKey[k]34        if (!parentRow) {35          groupedRows.push(36            parentRowByKey[k] =37              nestedRowsMap[rowKey] =38              parentRow =39                Object.assign(40                  nestedRowsMap[rowKey] || {},41                  {42                    children: [ ],43                    isRollup: true,44                    rollupRowKey: rowKey,45                    expanded: nestedRowsMap && nestedRowsMap[rowKey] &&46                        nestedRowsMap[rowKey].expanded47                  }48                )49          )50        }51        parentRow.children.push(row)52      }53    }54  }55  groupRowsLayout.groupings = function (value) {56    if (!arguments.length) return groupings57    groupings = value58    nestedRowsMap = null59    return groupRowsLayout60  }61  return groupRowsLayout...

Using AI Code Generation

1const { rows } = require('qawolf');2const { chromium } = require('playwright');3(async () => {4  const browser = await chromium.launch();5  const context = await browser.newContext();6  const page = await context.newPage();7  await page.click('input[name="name"]');8  await page.fill('input[name="name"]', 'test');9  await page.click('input[name="password"]');10  await page.fill('input[name="password"]', 'test');11  await page.click('text=Submit');12  await page.click('text=Home');13  await page.click('text=About');14  await page.click('text=Contact');15  await page.click('text=Home');16  await page.click('text=About');17  await page.click('text=Contact');18  await page.click('text=Home');19  await page.click('text=About');20  await page.click('text=Contact');21  await page.click('text=Home');22  await page.click('text=About');23  await page.click('text=Contact');24  await page.click('text=Home');25  await page.click('text=About');26  await page.click('text=Contact');27  await page.click('text=Home');28  await page.click('text=About');29  await page.click('text=Contact');30  await page.click('text=Home');31  await page.click('text=About');

Using AI Code Generation

1const qawolf = require("qawolf");2const selectors = require("./selectors/test.json");3const { chromium } = require("playwright");4describe("test", () => {5  let browser;6  let page;7  beforeAll(async () => {8    browser = await chromium.launch();9    page = await browser.newPage();10  });11  afterAll(async () => {12    await browser.close();13  });14  it("test", async () => {15    const rows = await page.$$(selectors[0].selector);16    const rowsText = await Promise.all(17      rows.map(async (row) => {18        const text = await row.innerText();19        return text;20      })21    );22    console.log(rowsText);23  });24});25  {26  }

Using AI Code Generation

1const { rows } = require('qawolf');2module.exports = async function() {3  const [row] = await rows('table');4  return row;5};6const { launch } = require('qawolf');7const { rows } = require('qawolf');8describe('test', () => {9  let browser;10  let page;11  beforeAll(async () => {12    browser = await launch();13    page = await browser.newPage();14  });15  afterAll(async () => {16    await browser.close();17  });18  it('test', async () => {19    const row = await rows('table');20    console.log(row);21  });22});23const { rows } = require('qawolf');24module.exports = async function() {25  const [row] = await rows('table');26  return row;27};28const { launch } = require('qawolf');29const { rows } = require('qawolf');30const test = require('./test');31describe('test', () => {32  let browser;33  let page;34  beforeAll(async () => {35    browser = await launch();36    page = await browser.newPage();37  });38  afterAll(async () => {39    await browser.close();40  });41  it('test', async () => {42    const row = await test();43    console.log(row);44  });45});46I think you need to await the result of test() :47const row = await test();

Using AI Code Generation

1const rows = await page.$$('tbody tr');2const rowsData = await rows.map(async row => {3  const tds = await row.$$('td');4  const tdsData = await tds.map(async td => {5    return await td.evaluate(td => td.innerText);6  });7  return Promise.all(tdsData);8});9console.log(await Promise.all(rowsData));10const data = await Promise.all(rowsData);11const keys = data.shift();12const values = data;13const result = values.map(value => {14  return value.reduce((object, property, index) => {15    object[keys[index]] = property;16    return object;17  }, {});18});19console.log(result);20const fs = require('fs');21fs.writeFile('data.json', JSON.stringify(result), function (err) {22  if (err) throw err;23  console.log('Saved!');24});25const createCsvWriter = require('csv-writer').createObjectCsvWriter;26const csvWriter = createCsvWriter({27    {id: 'Name', title: 'Name'},28    {id: 'Email', title: 'Email'},29    {id: 'Phone', title: 'Phone'},30});31  .then(() => {32    console.log('...Done');33  });34const stringify = require('csv-stringify/lib/sync');35const csv = stringify(result, {36  columns: {37  }38});39console.log(csv);40const createCsvWriter = require('csv-writer').createObjectCsvWriter;41const csvWriter = createCsvWriter({42    {id: 'Name', title: 'Name'},43    {id: 'Email', title: 'Email'},44    {id

Using AI Code Generation

1const values = await page.$$eval('table > tbody > tr', rows => rows.map(row => row.children[0].innerText));2console.log(values);3await page.click('table > tbody > tr:nth-child(1)');4await page.click('table > tbody > tr:nth-child(2)');5await page.click('table > tbody > tr:nth-child(3)');6await page.click('table > tbody > tr:nth-child(4)');7await page.click('table > tbody > tr:nth-child(5)');8await page.click('table > tbody > tr:nth-child(6)');9await page.click('table > tbody > tr:nth-child(7)');10await page.click('table > tbody > tr:nth-child(8)');11await page.click('table > tbody > tr:nth-child(9)');12await page.click('table > tbody > tr:nth-child(10)');13});14await qawolf.create(page, 'test.js');15await qawolf.create(page, 'test.js');

Using AI Code Generation

1const qawolf = require("qawolf");2const fs = require("fs");3const csvFile = fs.readFileSync("./data.csv", "utf8");4const rows = csvFile.split("5");6(async () => {7  const browser = await qawolf.launch();8  const context = await browser.newContext();9  const page = await context.newPage();10  await page.setViewportSize({ width: 1280, height: 800 });11  await rows.map(async (row) => {12    const columns = row.split(",");13    await page.fill("#mG61Hd > div.freebirdFormviewerViewFormContent > div > div.freebirdFormviewerViewItemList > div:nth-child(1) > div > div.quantumWizTextinputPaperinputMainContent.exportContent > div.quantumWizTextinputPaperinputContentArea.exportContentArea > div.quantumWizTextinputPaperinputInputArea > input", columns[0]);14    await page.fill("#mG61Hd > div.freebirdFormviewerViewFormContent > div > div.freebirdFormviewerViewItemList > div:nth-child(2) > div > div.quantumWizTextinputPaperinputMainContent.exportContent > div.quantumWizTextinputPaperinputContentArea.exportContentArea > div.quantumWizTextinputPaperinputInputArea > input", columns[1]);

Using AI Code Generation

1const { rows } = await qawolf.create();2await rows[0].fill({ firstName: "John", lastName: "Smith" });3await rows[1].fill({ firstName: "Jane", lastName: "Doe" });4const { rows } = await qawolf.create();5await rows[0].fill({ firstName: "John", lastName: "Smith" });6await rows[1].fill({ firstName: "Jane", lastName: "Doe" });7const { rows } = await qawolf.create();8await rows[0].fill({ firstName: "John", lastName: "Smith" });9await rows[1].fill({ firstName: "Jane", lastName: "Doe" });10const { rows } = await qawolf.create();11await rows[0].fill({ firstName: "John", lastName: "Smith" });12await rows[1].fill({ firstName: "Jane", lastName: "Doe" });13const { rows } = await qawolf.create();14await rows[0].fill({ firstName: "John", lastName: "Smith" });15await rows[1].fill({ firstName: "Jane", lastName: "Doe" });16const { rows } = await qawolf.create();17await rows[0].fill({ firstName

Using AI Code Generation

1const { rows } = await qawolf.create();2await qawolf.click(rows.map((row, index) => index === 2));3const { rows } = await qawolf.create();4await qawolf.click(rows[2]);5const { rows } = await qawolf.create();6await qawolf.click(rows[2]);7const { rows } = await qawolf.create();8await qawolf.click(rows[2]);9const { rows } = await qawolf.create();10await qawolf.click(rows[2]);11const { rows } = await qawolf.create();

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