How to use headerValues method in Playwright Internal
Best JavaScript code snippet using playwright-internal
data_mnist.js
Source:data_mnist.js 
1/**2 * @license3 * Copyright 2019 Google LLC. All Rights Reserved.4 * Licensed under the Apache License, Version 2.0 (the "License");5 * you may not use this file except in compliance with the License.6 * You may obtain a copy of the License at7 *8 * http://www.apache.org/licenses/LICENSE-2.09 *10 * Unless required by applicable law or agreed to in writing, software11 * distributed under the License is distributed on an "AS IS" BASIS,12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.13 * See the License for the specific language governing permissions and14 * limitations under the License.15 * =============================================================================16 */17/**18 * Provides methods and classes that support loading data from19 * both MNIST and Fashion MNIST datasets.20 */21import * as tf from '@tensorflow/tfjs';22import * as fs from 'fs';23import * as http from 'http';24import * as https from 'https';25import * as path from 'path';26import * as util from 'util';27import * as zlib from 'zlib';28const exists = util.promisify(fs.exists);29const mkdir = util.promisify(fs.mkdir);30const readFile = util.promisify(fs.readFile);31const rename = util.promisify(fs.rename);32// Shared specs for the MNIST and Fashion MNIST datasets.33const IMAGE_HEADER_MAGIC_NUM = 2051;34const IMAGE_HEADER_BYTES = 16;35const IMAGE_HEIGHT = 28;36const IMAGE_WIDTH = 28;37const IMAGE_FLAT_SIZE = IMAGE_HEIGHT * IMAGE_WIDTH;38const LABEL_HEADER_MAGIC_NUM = 2049;39const LABEL_HEADER_BYTES = 8;40const LABEL_RECORD_BYTE = 1;41const LABEL_FLAT_SIZE = 10;42// Downloads a test file only once and returns the buffer for the file.43export async function fetchOnceAndSaveToDiskWithBuffer(44 baseURL, destDir, filename) {45 return new Promise(async (resolve, reject) => {46 const url = `${baseURL}${filename}.gz`;47 const localPath = path.join(destDir, filename);48 if (await exists(localPath)) {49 resolve(readFile(localPath));50 return;51 }52 const file = fs.createWriteStream(filename);53 console.log(` * Downloading from: ${url}`);54 let httpModule;55 if (url.indexOf('https://') === 0) {56 httpModule = https;57 } else if (url.indexOf('http://') === 0) {58 httpModule = http;59 } else {60 return reject(`Unrecognized protocol in URL: ${url}`);61 }62 httpModule.get(url, (response) => {63 const unzip = zlib.createGunzip();64 response.pipe(unzip).pipe(file);65 unzip.on('end', async () => {66 await rename(filename, localPath);67 resolve(readFile(localPath));68 });69 });70 });71}72function loadHeaderValues(buffer, headerLength) {73 const headerValues = [];74 for (let i = 0; i < headerLength / 4; i++) {75 // Header data is stored in-order (aka big-endian)76 headerValues[i] = buffer.readUInt32BE(i * 4);77 }78 return headerValues;79}80async function loadImages(baseURL, destDir, filename) {81 const buffer =82 await fetchOnceAndSaveToDiskWithBuffer(baseURL, destDir, filename);83 const headerBytes = IMAGE_HEADER_BYTES;84 const recordBytes = IMAGE_HEIGHT * IMAGE_WIDTH;85 const headerValues = loadHeaderValues(buffer, headerBytes);86 tf.util.assert(87 headerValues[0] === IMAGE_HEADER_MAGIC_NUM,88 () => `Image file header doesn't match expected magic num.`);89 tf.util.assert(90 headerValues[2] === IMAGE_HEIGHT,91 () => `Value in file header (${headerValues[2]}) doesn't ` +92 `match the expected image height ${IMAGE_HEIGHT}`);93 tf.util.assert(94 headerValues[3] === IMAGE_WIDTH,95 () => `Value in file header (${headerValues[3]}) doesn't ` +96 `match the expected image height ${IMAGE_WIDTH}`);97 const images = [];98 let index = headerBytes;99 while (index < buffer.byteLength) {100 const array = new Float32Array(recordBytes);101 for (let i = 0; i < recordBytes; i++) {102 // Normalize the pixel values into the 0-1 interval, from103 // the original 0-255 interval.104 array[i] = buffer.readUInt8(index++) / 255;105 }106 images.push(array);107 }108 tf.util.assert(109 images.length === headerValues[1],110 () => `Actual images length (${images.length} doesn't match ` +111 `value in header (${headerValues[1]})`);112 return images;113}114async function loadLabels(baseURL, destDir, filename) {115 const buffer =116 await fetchOnceAndSaveToDiskWithBuffer(baseURL, destDir, filename);117 const headerBytes = LABEL_HEADER_BYTES;118 const recordBytes = LABEL_RECORD_BYTE;119 const headerValues = loadHeaderValues(buffer, headerBytes);120 tf.util.assert(121 headerValues[0] === LABEL_HEADER_MAGIC_NUM,122 () => `Label file header doesn't match expected magic num.`);123 const labels = [];124 let index = headerBytes;125 while (index < buffer.byteLength) {126 const array = new Int32Array(recordBytes);127 for (let i = 0; i < recordBytes; i++) {128 array[i] = buffer.readUInt8(index++);129 }130 labels.push(array);131 }132 tf.util.assert(133 labels.length === headerValues[1],134 () => `Actual labels length (${images.length} doesn't match ` +135 `value in header (${headerValues[1]})`);136 return labels;137}138/** Helper class to handle loading training and test data. */139export class MnistDataset {140 // MNIST data constants:141 constructor() {142 this.dataset = null;143 this.trainSize = 0;144 this.testSize = 0;145 this.trainBatchIndex = 0;146 this.testBatchIndex = 0;147 }148 getBaseUrlAndFilePaths() {149 return {150 baseUrl: 'https://storage.googleapis.com/cvdf-datasets/mnist/',151 destDir: 'data-mnist',152 trainImages: 'train-images-idx3-ubyte',153 trainLabels: 'train-labels-idx1-ubyte',154 testImages: 't10k-images-idx3-ubyte',155 testLabels: 't10k-labels-idx1-ubyte'156 }157 }158 /** Loads training and test data. */159 async loadData() {160 const baseUrlAndFilePaths = this.getBaseUrlAndFilePaths();161 const baseUrl = baseUrlAndFilePaths.baseUrl;162 const destDir = baseUrlAndFilePaths.destDir;163 if (!(await exists(destDir))) {164 await mkdir(destDir);165 }166 this.dataset = await Promise.all([167 loadImages(baseUrl, destDir, baseUrlAndFilePaths.trainImages),168 loadLabels(baseUrl, destDir, baseUrlAndFilePaths.trainLabels),169 loadImages(baseUrl, destDir, baseUrlAndFilePaths.testImages),170 loadLabels(baseUrl, destDir, baseUrlAndFilePaths.testLabels)171 ]);172 this.trainSize = this.dataset[0].length;173 this.testSize = this.dataset[2].length;174 }175 getTrainData() {176 return this.getData_(true);177 }178 getTestData() {179 return this.getData_(false);180 }181 getData_(isTrainingData) {182 let imagesIndex;183 let labelsIndex;184 if (isTrainingData) {185 imagesIndex = 0;186 labelsIndex = 1;187 } else {188 imagesIndex = 2;189 labelsIndex = 3;190 }191 const size = this.dataset[imagesIndex].length;192 tf.util.assert(193 this.dataset[labelsIndex].length === size,194 `Mismatch in the number of images (${size}) and ` +195 `the number of labels (${this.dataset[labelsIndex].length})`);196 // Only create one big array to hold batch of images.197 const imagesShape = [size, IMAGE_HEIGHT, IMAGE_WIDTH, 1];198 const images = new Float32Array(tf.util.sizeFromShape(imagesShape));199 const labels = new Int32Array(tf.util.sizeFromShape([size, 1]));200 let imageOffset = 0;201 let labelOffset = 0;202 for (let i = 0; i < size; ++i) {203 images.set(this.dataset[imagesIndex][i], imageOffset);204 labels.set(this.dataset[labelsIndex][i], labelOffset);205 imageOffset += IMAGE_FLAT_SIZE;206 labelOffset += 1;207 }208 return {209 images: tf.tensor4d(images, imagesShape),210 labels: tf.oneHot(tf.tensor1d(labels, 'int32'), LABEL_FLAT_SIZE).toFloat()211 };212 }213}214export class FashionMnistDataset extends MnistDataset {215 getBaseUrlAndFilePaths() {216 return {217 baseUrl: 'http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/',218 destDir: 'data-fashion-mnist',219 trainImages: 'train-images-idx3-ubyte',220 trainLabels: 'train-labels-idx1-ubyte',221 testImages: 't10k-images-idx3-ubyte',222 testLabels: 't10k-labels-idx1-ubyte'223 }224 }...
FormOne.js
Source:FormOne.js
1import React from 'react';2export default class FormOne extends React.Component{3 constructor(props){4 super(props);5 }6 onTodoChange = (value) =>{7 this.setState({8 name: value9 });10 }11 render(){12 let { headervalues } = this.props;13 console.log(headervalues);14 let headerPrint = null;15 let setUI,leftCol1,midCol1, rightCol1, leftCol2, midCol2, rightCol2 = null;16 17 18 if(headervalues[0]['column_0'].length>0)19 {20 21 leftCol1 = headervalues[0]['column_0'].map((val,index)=>{ 22 let label, field = null;23 if(val.labelEdit==='N')24 {25 label = <label className="wid200">{val.label}:</label>26 }27 else28 {29 label = <div className="wid200"><input type="text" name={val.id+"_label"} defaultValue={val.label} onChange={e => this.onTodoChange(e.target.value)}/></div>30 }31 field = <input type="text" name={val.id}/> 32 33 return(34 <div key={val.id} className="setbox pad1">35 {label}36 {field}37 </div>38 )39 })40 }41 if(headervalues[1]['column_1'].length>0)42 {43 44 midCol1 = headervalues[1]['column_1'].map((val,index)=>{ 45 let label, field = null;46 if(val.labelEdit==='N')47 {48 label = <label className="wid200">{val.label}:</label>49 }50 else51 {52 label = <div className="wid200"><input type="text" name={val.id+"_label"} defaultValue={val.label} onChange={e => this.onTodoChange(e.target.value)}/></div>53 }54 field = <input type="text" name={val.id}/> 55 56 return(57 <div key={val.id} className="setbox pad1">58 {label}59 {field}60 </div>61 )62 })63 }64 if(headervalues[2]['column_2'].length>0)65 {66 67 rightCol1 = headervalues[2]['column_2'].map((val,index)=>{ 68 let label, field = null;69 if(val.labelEdit==='N')70 {71 label = <label className="wid200">{val.label}:</label>72 }73 else74 {75 label = <div className="wid200"><input type="text" name={val.id+"_label"} defaultValue={val.label} onChange={e => this.onTodoChange(e.target.value)}/></div>76 }77 field = <input type="text" name={val.id}/> 78 79 return(80 <div key={val.id} className="setbox pad1">81 {label}82 {field}83 </div>84 )85 })86 }87 if(headervalues[3]['column_3'].length>0)88 {89 90 leftCol2 = headervalues[3]['column_3'].map((val,index)=>{ 91 let label, field = null;92 if(val.labelEdit==='N')93 {94 label = <label className="wid200">{val.label}:</label>95 }96 else97 {98 label = <div className="wid200"><input type="text" name={val.id+"_label"} defaultValue={val.label} onChange={e => this.onTodoChange(e.target.value)}/></div>99 }100 field = <input type="text" name={val.id}/> 101 102 return(103 <div key={val.id} className="setbox pad1">104 {label}105 {field}106 </div>107 )108 })109 }110 if(headervalues[4]['column_4'].length>0)111 {112 113 midCol2 = headervalues[4]['column_4'].map((val,index)=>{ 114 let label, field = null;115 if(val.labelEdit==='N')116 {117 label = <label className="wid200">{val.label}:</label>118 }119 else120 {121 label = <div className="wid200"><input type="text" name={val.id+"_label"} defaultValue={val.label} onChange={e => this.onTodoChange(e.target.value)}/></div>122 }123 field = <input type="text" name={val.id}/> 124 125 return(126 <div key={val.id} className="setbox pad1">127 {label}128 {field}129 </div>130 )131 })132 }133 if(headervalues[5]['column_5'].length>0)134 {135 136 rightCol2 = headervalues[5]['column_5'].map((val,index)=>{ 137 let label, field = null;138 if(val.labelEdit==='N')139 {140 label = <label className="wid200">{val.label}:</label>141 }142 else143 {144 label = <div className="wid200"><input type="text" name={val.id+"_label"} defaultValue={val.label} onChange={e => this.onTodoChange(e.target.value)}/></div>145 }146 field = <input type="text" name={val.id}/> 147 148 return(149 <div key={val.id} className="setbox pad1">150 {label}151 {field}152 </div>153 )154 })155 }156 157 158 159 160 161 return(162 <div className="fullw">163 <div className="txtc sethead">Tax Invoice</div>164 <div id="SenderDetails" className="mt5 bg1 dispt fullw setequal"> 165 <div id="header_col_0" className="disptc vmid">{leftCol1}</div>166 <div id="header_col_1" className="disptc vmid">{midCol1}</div>167 <div id="header_col_2" className="disptc vmid">{rightCol1}</div> 168 </div>169 <div id="RecieverDetails" className="mt5 bg1 dispt fullw setequal">170 <div id="header_col_3" className="disptc vmid">{leftCol2}</div>171 <div id="header_col_4" className="disptc vmid">{midCol2}</div>172 <div id="header_col_5" className="disptc vmid">{rightCol2}</div> 173 </div>174 </div>175 );176 }...
data.js
Source:data.js
1const tf = require("@tensorflow/tfjs");2const assert = require("assert");3const fs = require("fs");4const https = require("https");5const util = require("util");6const zlib = require("zlib");7const readFile = util.promisify(fs.readFile);8// MNIST data constants:9const BASE_URL = "https://storage.googleapis.com/cvdf-datasets/mnist/";10const TRAIN_IMAGES_FILE = "train-images-idx3-ubyte";11const TRAIN_LABELS_FILE = "train-labels-idx1-ubyte";12const TEST_IMAGES_FILE = "t10k-images-idx3-ubyte";13const TEST_LABELS_FILE = "t10k-labels-idx1-ubyte";14const IMAGE_HEADER_MAGIC_NUM = 2051;15const IMAGE_HEADER_BYTES = 16;16const IMAGE_HEIGHT = 28;17const IMAGE_WIDTH = 28;18const IMAGE_FLAT_SIZE = IMAGE_HEIGHT * IMAGE_WIDTH;19const LABEL_HEADER_MAGIC_NUM = 2049;20const LABEL_HEADER_BYTES = 8;21const LABEL_RECORD_BYTE = 1;22const LABEL_FLAT_SIZE = 10;23// Downloads a test file only once and returns the buffer for the file.24async function fetchOnceAndSaveToDiskWithBuffer(filename) {25 return new Promise(resolve => {26 const url = `${BASE_URL}${filename}.gz`;27 if (fs.existsSync(filename)) {28 resolve(readFile(filename));29 return;30 }31 const file = fs.createWriteStream(filename);32 console.log(` * Downloading from: ${url}`);33 https.get(url, response => {34 const unzip = zlib.createGunzip();35 response.pipe(unzip).pipe(file);36 unzip.on("end", () => {37 resolve(readFile(filename));38 });39 });40 });41}42function loadHeaderValues(buffer, headerLength) {43 const headerValues = [];44 for (let i = 0; i < headerLength / 4; i++) {45 // Header data is stored in-order (aka big-endian)46 headerValues[i] = buffer.readUInt32BE(i * 4);47 }48 return headerValues;49}50async function loadImages(filename) {51 const buffer = await fetchOnceAndSaveToDiskWithBuffer(filename);52 const headerBytes = IMAGE_HEADER_BYTES;53 const recordBytes = IMAGE_HEIGHT * IMAGE_WIDTH;54 const headerValues = loadHeaderValues(buffer, headerBytes);55 assert.equal(headerValues[0], IMAGE_HEADER_MAGIC_NUM);56 assert.equal(headerValues[2], IMAGE_HEIGHT);57 assert.equal(headerValues[3], IMAGE_WIDTH);58 const images = [];59 let index = headerBytes;60 while (index < buffer.byteLength) {61 const array = new Float32Array(recordBytes);62 for (let i = 0; i < recordBytes; i++) {63 // Normalize the pixel values into the 0-1 interval, from64 // the original 0-255 interval.65 array[i] = buffer.readUInt8(index++) / 255;66 }67 images.push(array);68 }69 assert.equal(images.length, headerValues[1]);70 return images;71}72async function loadLabels(filename) {73 const buffer = await fetchOnceAndSaveToDiskWithBuffer(filename);74 const headerBytes = LABEL_HEADER_BYTES;75 const recordBytes = LABEL_RECORD_BYTE;76 const headerValues = loadHeaderValues(buffer, headerBytes);77 assert.equal(headerValues[0], LABEL_HEADER_MAGIC_NUM);78 const labels = [];79 let index = headerBytes;80 while (index < buffer.byteLength) {81 const array = new Int32Array(recordBytes);82 for (let i = 0; i < recordBytes; i++) {83 array[i] = buffer.readUInt8(index++);84 }85 labels.push(array);86 }87 assert.equal(labels.length, headerValues[1]);88 return labels;89}90/** Helper class to handle loading training and test data. */91class MnistDataset {92 constructor() {93 this.dataset = null;94 this.trainSize = 0;95 this.testSize = 0;96 this.trainBatchIndex = 0;97 this.testBatchIndex = 0;98 }99 /** Loads training and test data. */100 async loadData() {101 this.dataset = await Promise.all([102 loadImages(TRAIN_IMAGES_FILE),103 loadLabels(TRAIN_LABELS_FILE),104 loadImages(TEST_IMAGES_FILE),105 loadLabels(TEST_LABELS_FILE)106 ]);107 this.trainSize = this.dataset[0].length;108 this.testSize = this.dataset[2].length;109 }110 getTrainData() {111 return this.getData_(true);112 }113 getTestData() {114 return this.getData_(false);115 }116 getData_(isTrainingData) {117 let imagesIndex;118 let labelsIndex;119 if (isTrainingData) {120 imagesIndex = 0;121 labelsIndex = 1;122 } else {123 imagesIndex = 2;124 labelsIndex = 3;125 }126 const size = this.dataset[imagesIndex].length;127 tf.util.assert(128 this.dataset[labelsIndex].length === size,129 `Mismatch in the number of images (${size}) and ` +130 `the number of labels (${this.dataset[labelsIndex].length})`131 );132 // Only create one big array to hold batch of images.133 const imagesShape = [size, IMAGE_HEIGHT, IMAGE_WIDTH, 1];134 const images = new Float32Array(tf.util.sizeFromShape(imagesShape));135 const labels = new Int32Array(tf.util.sizeFromShape([size, 1]));136 let imageOffset = 0;137 let labelOffset = 0;138 for (let i = 0; i < size; ++i) {139 images.set(this.dataset[imagesIndex][i], imageOffset);140 labels.set(this.dataset[labelsIndex][i], labelOffset);141 imageOffset += IMAGE_FLAT_SIZE;142 labelOffset += 1;143 }144 return {145 images: tf.tensor4d(images, imagesShape),146 labels: tf.oneHot(tf.tensor1d(labels, "int32"), LABEL_FLAT_SIZE).toFloat()147 };148 }149}...
common.gs
Source:common.gs
1/*2 * Copyright (c) 2020, salesforce.com, inc.3 * All rights reserved.4 * SPDX-License-Identifier: BSD-3-Clause5 * For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause6 */7var residualRiskSheet = "Residual Risk"8var residualDataSheet = "Raw Residual Data"9var residualRiskFactorSheet = "ResidualRiskFactors"10var inherentRiskSheet = "Inherent Risk";11function mapRowToSystem(rowValues, headerValues) {12 var ret = {};13 for(var i = 0; i < headerValues.length; i++) {14 if(i < rowValues.length) {15 ret[headerValues[i]] = rowValues[i];16 } else {17 ret[headerValues[i]] = null;18 }19 }20 return ret;21}22function mapFormToSystem(systemForm, headerValues) {23 var ret = {};24 for(var i = 0; i < headerValues.length; i++) {25 if(systemForm[headerValues[i]]) {26 ret[headerValues[i].toString()] = systemForm[headerValues[i].toString()];27 } else {28 ret[headerValues[i].toString()] = null;29 }30 }31 return ret;32}33function systemToString(systemData) {34 var st = "systemData:";35 for(var i = 0; i < Object.keys(systemData).length; i++) {36 st += Object.keys(systemData)[i] + " / " + systemData[Object.keys(systemData)[i]] + "\n";37 }38 return st;39}40function ratingFormula(rowNum, colLetter) {41 return '=VLOOKUP(' + colLetter + rowNum + ',{1,"Very Low - 1";1.50,"Low - 2";2.50,"Moderate - 3";3.50,"High - 4";4.50,"Very High - 5"},2,1)'42}43function riskLevelFormula(rowNum, likelihoodRatingCol, impactRatingCol) {44 return '=INDEX(RatingTable,MATCH(' + likelihoodRatingCol + rowNum + ',RatingLikelihood,0), MATCH(' + impactRatingCol + rowNum + ',RatingImpact,0))';45}46function inherentWithNoResidual() {47 var inh = listInherentSystemNames();48 var res = listResidualSystemNames();49 var ret = inh.filter(function (name) { return res.indexOf(name) == -1 }).map(function (value, index, array) { return value.replace("'","").replace('"','')}).sort(); 50 return ret;51}52function listInherentSystemNames() {53 var ss = SpreadsheetApp.getActiveSpreadsheet();54 var sheet = ss.getSheetByName(inherentRiskSheet);55 var values = sheet.getRange(2,1,sheet.getLastRow(),2).getValues();56 var ret = [];57 for(var i = 0; i < values.length; i++) {58 if(values[i][1] && values[i][1] != "" && ret.indexOf(values[i][1]) == -1) {59 ret.push(values[i][1]);60 }61 }62 return ret;63}64function listResidualSystemNames() {65 var ss = SpreadsheetApp.getActiveSpreadsheet();66 var sheet = ss.getSheetByName(residualRiskSheet);67 var values = sheet.getRange(2,1,sheet.getLastRow(),2).getValues();68 var ret = [];69 for(var i = 0; i < values.length; i++) {70 if(values[i][1] && values[i][1] != "" && ret.indexOf(values[i][1]) == -1) {71 ret.push(values[i][1]);72 }73 }74 return ret;...
header-values.any.js
Source:header-values.any.js
1// META: title=Header value test2// META: global=window,worker3// META: timeout=long4"use strict";5// Invalid values6[0, 0x0A, 0x0D].forEach(val => {7 val = "x" + String.fromCharCode(val) + "x"8 // XMLHttpRequest is not available in service workers9 if (!self.GLOBAL.isWorker()) {10 test(() => {11 let xhr = new XMLHttpRequest()12 xhr.open("POST", "/")13 assert_throws_dom("SyntaxError", () => xhr.setRequestHeader("value-test", val))14 }, "XMLHttpRequest with value " + encodeURI(val) + " needs to throw")15 }16 promise_test(t => promise_rejects_js(t, TypeError, fetch("/", { headers: {"value-test": val} })), "fetch() with value " + encodeURI(val) + " needs to throw")17})18// Valid values19let headerValues =[]20for(let i = 0; i < 0x100; i++) {21 if(i === 0 || i === 0x0A || i === 0x0D) {22 continue23 }24 headerValues.push("x" + String.fromCharCode(i) + "x")25}26var url = "../resources/inspect-headers.py?headers="27headerValues.forEach((_, i) => {28 url += "val" + i + "|"29})30// XMLHttpRequest is not available in service workers31if (!self.GLOBAL.isWorker()) {32 async_test((t) => {33 let xhr = new XMLHttpRequest()34 xhr.open("POST", url)35 headerValues.forEach((val, i) => {36 xhr.setRequestHeader("val" + i, val)37 })38 xhr.onload = t.step_func_done(() => {39 headerValues.forEach((val, i) => {40 assert_equals(xhr.getResponseHeader("x-request-val" + i), val)41 })42 })43 xhr.send()44 }, "XMLHttpRequest with all valid values")45}46promise_test((t) => {47 const headers = new Headers48 headerValues.forEach((val, i) => {49 headers.append("val" + i, val)50 })51 return fetch(url, { headers }).then((res) => {52 headerValues.forEach((val, i) => {53 assert_equals(res.headers.get("x-request-val" + i), val)54 })55 })...
CSVExporter.js
Source:CSVExporter.js
1export class CSVExporter {2 static toString (points) {3 let string = '';4 let attributes = Object.keys(points.data)5 .filter(a => a !== 'normal')6 .sort((a, b) => {7 if (a === 'position') return -1;8 if (b === 'position') return 1;9 if (a === 'color') return -1;10 if (b === 'color') return 1;11 });12 let headerValues = [];13 for (let attribute of attributes) {14 let itemSize = points.data[attribute].length / points.numPoints;15 if (attribute === 'position') {16 headerValues = headerValues.concat(['x', 'y', 'z']);17 } else if (attribute === 'color') {18 headerValues = headerValues.concat(['r', 'g', 'b', 'a']);19 } else if (itemSize > 1) {20 for (let i = 0; i < itemSize; i++) {21 headerValues.push(`${attribute}_${i}`);22 }23 } else {24 headerValues.push(attribute);25 }26 }27 string = headerValues.join(', ') + '\n';28 for (let i = 0; i < points.numPoints; i++) {29 let values = [];30 for (let attribute of attributes) {31 let itemSize = points.data[attribute].length / points.numPoints;32 let value = points.data[attribute]33 .subarray(itemSize * i, itemSize * i + itemSize)34 .join(', ');35 values.push(value);36 }37 string += values.join(', ') + '\n';38 }39 return string;40 }...
Using AI Code Generation
1const { webkit } = require('playwright');2(async () => {3 const browser = await webkit.launch();4 const context = await browser.newContext();5 const page = await context.newPage();6 const headers = await page.route('**/*', route => {7 console.log(route.request().headers());8 route.continue();9 });10 await browser.close();11})();12- Enter Check in date as Next month 15th (May 15) and Check out as start date+513const { webkit } = require('playwright');14(async () => {15 const browser = await webkit.launch();16 const context = await browser.newContext();17 const page = await context.newPage();18 await page.click('text="Hotels"');19 await page.fill('#city', 'Goa, India');20 await page.click('text="Goa, India"');21 await page.fill('input[name="checkin"]', '15/05/2021');22 await page.fill('input[name="checkout"]', '20/05/2021');23 await page.click('text="ROOMS & GUESTS"');24 await page.click('button:has-text("2 Adults")');25 await page.click('button:has-text("1 Child")');26 await page.click('text="12"');27 await page.click('button
Using AI Code Generation
1const { chromium } = require('playwright');2(async () => {3 const browser = await chromium.launch();4 const context = await browser.newContext();5 const page = await context.newPage();6 const headers = await page._client.send('Network.getAllCookies');7 console.log(headers);8 await browser.close();9})();10[MIT](LICENSE)
Using AI Code Generation
1const { chromium } = require('playwright');2(async () => {3 const browser = await chromium.launch();4 const page = await browser.newPage();5 const headers = await page._client.send('Network.getAllCookies');6 console.log(headers);7 await browser.close();8})();9const { chromium } = require('playwright');10(async () => {11 const browser = await chromium.launch();12 const page = await browser.newPage();13 const headers = await page._client.send('Network.getAllCookies');14 console.log(headers);15 await browser.close();16})();17const { chromium } = require('playwright');18(async () => {19 const browser = await chromium.launch();20 const page = await browser.newPage();21 const headers = await page._client.send('Network.getAllCookies');22 console.log(headers);23 await browser.close();24})();25const { chromium } = require('playwright');26(async () => {27 const browser = await chromium.launch();28 const page = await browser.newPage();29 const headers = await page._client.send('Network.getAllCookies');30 console.log(headers);31 await browser.close();32})();33const { chromium } = require('playwright');34(async () => {35 const browser = await chromium.launch();36 const page = await browser.newPage();37 const headers = await page._client.send('Network.getAllCookies');38 console.log(headers);39 await browser.close();40})();
Using AI Code Generation
1import { chromium } from 'playwright';2(async () => {3 const browser = await chromium.launch();4 const context = await browser.newContext();5 const page = await context.newPage();6 const headers = await page._client.send('Network.getAllCookies');7 console.log(headers);8 await browser.close();9})();10[MIT](
Using AI Code Generation
1const { chromium } = require('playwright');2(async () => {3 const browser = await chromium.launch();4 const context = await browser.newContext();5 const page = await context.newPage();6 await page.route('**', route => {7 const headers = route.request().headers();8 headers['foo'] = 'bar';9 route.continue({ headers });10 });11 const headers = await page.evaluate(() => JSON.stringify(window.__PLAYWRIGHT_TEST_HOOKS__.headerValues));12 console.log(headers);13 await browser.close();14})();
Using AI Code Generation
1const {chromium, webkit, firefox} = require('playwright');2const {headerValues} = require('playwright/lib/utils/utils');3(async () => {4 const browser = await chromium.launch();5 const context = await browser.newContext();6 const page = await context.newPage();7 const headers = await headerValues(page);8 console.log(headers);9 await browser.close();10})();11### headerValues(page: Page): Promise<Record<string, string>>
Using AI Code Generation
1const { headerValues } = require('playwright/lib/server/network');2const headers = {3};4const values = headerValues(headers);5console.log(values);6### `headerValues(headers)`7[`page.route`](#pagerroutepattern-handler) and
Playwright tutorial
LambdaTest’s Playwright tutorial will give you a broader idea about the Playwright automation framework, its unique features, and use cases with examples to exceed your understanding of Playwright testing. This tutorial will give A to Z guidance, from installing the Playwright framework to some best practices and advanced concepts.
Chapters:
- What is Playwright : Playwright is comparatively new but has gained good popularity. Get to know some history of the Playwright with some interesting facts connected with it.
- How To Install Playwright : Learn in detail about what basic configuration and dependencies are required for installing Playwright and run a test. Get a step-by-step direction for installing the Playwright automation framework.
- Playwright Futuristic Features: Launched in 2020, Playwright gained huge popularity quickly because of some obliging features such as Playwright Test Generator and Inspector, Playwright Reporter, Playwright auto-waiting mechanism and etc. Read up on those features to master Playwright testing.
- What is Component Testing: Component testing in Playwright is a unique feature that allows a tester to test a single component of a web application without integrating them with other elements. Learn how to perform Component testing on the Playwright automation framework.
- Inputs And Buttons In Playwright: Every website has Input boxes and buttons; learn about testing inputs and buttons with different scenarios and examples.
- Functions and Selectors in Playwright: Learn how to launch the Chromium browser with Playwright. Also, gain a better understanding of some important functions like “BrowserContext,” which allows you to run multiple browser sessions, and “newPage” which interacts with a page.
- Handling Alerts and Dropdowns in Playwright : Playwright interact with different types of alerts and pop-ups, such as simple, confirmation, and prompt, and different types of dropdowns, such as single selector and multi-selector get your hands-on with handling alerts and dropdown in Playright testing.
- Playwright vs Puppeteer: Get to know about the difference between two testing frameworks and how they are different than one another, which browsers they support, and what features they provide.
- Run Playwright Tests on LambdaTest: Playwright testing with LambdaTest leverages test performance to the utmost. You can run multiple Playwright tests in Parallel with the LammbdaTest test cloud. Get a step-by-step guide to run your Playwright test on the LambdaTest platform.
- Playwright Python Tutorial: Playwright automation framework support all major languages such as Python, JavaScript, TypeScript, .NET and etc. However, there are various advantages to Python end-to-end testing with Playwright because of its versatile utility. Get the hang of Playwright python testing with this chapter.
- Playwright End To End Testing Tutorial: Get your hands on with Playwright end-to-end testing and learn to use some exciting features such as TraceViewer, Debugging, Networking, Component testing, Visual testing, and many more.
- Playwright Video Tutorial: Watch the video tutorials on Playwright testing from experts and get a consecutive in-depth explanation of Playwright automation testing.
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