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How to use encodedInput method in wpt

Best JavaScript code snippet using wpt

index.js

Source:index.js

1// Copyright (c) 2018 ml52//3// This software is released under the MIT License.4// https://opensource.org/licenses/MIT5/* eslint prefer-destructuring: ["error", {AssignmentExpression: {array: false}}] */6/* eslint no-await-in-loop: "off" */7/*8A LSTM Generator: Run inference mode for a pre-trained LSTM.9*/10import * as tf from "@tensorflow/tfjs"11import sampleFromDistribution from "./utils/sample"12import CheckpointLoader from "./utils/checkpointLoader"13import callCallback from "./utils/callcallback"14const regexCell = /cell_[0-9]|lstm_[0-9]/gi15const regexWeights = /weights|weight|kernel|kernels|w/gi16const regexFullyConnected = /softmax/gi17class CharRNN {18  constructor(modelPath, callback) {19    this.ready = false20    this.model = {}21    this.cellsAmount = 022    this.cells = []23    this.zeroState = { c: [], h: [] }24    this.state = { c: [], h: [] }25    this.vocab = {}26    this.vocabSize = 027    this.probabilities = []28    this.defaults = {29      seed: "a", // TODO: use no seed by default30      length: 20,31      temperature: 0.5,32      stateful: false,33    }34    this.ready = callCallback(this.loadCheckpoints(modelPath), callback)35    // this.then = this.ready.then.bind(this.ready);36  }37  resetState() {38    this.state = this.zeroState39  }40  setState(state) {41    this.state = state42  }43  getState() {44    return this.state45  }46  async loadCheckpoints(path) {47    const reader = new CheckpointLoader(path)48    const vars = await reader.getAllVariables()49    Object.keys(vars).forEach(key => {50      if (key.match(regexCell)) {51        if (key.match(regexWeights)) {52          this.model[`Kernel_${key.match(/[0-9]/)[0]}`] = vars[key]53          this.cellsAmount += 154        } else {55          this.model[`Bias_${key.match(/[0-9]/)[0]}`] = vars[key]56        }57      } else if (key.match(regexFullyConnected)) {58        if (key.match(regexWeights)) {59          this.model.fullyConnectedWeights = vars[key]60        } else {61          this.model.fullyConnectedBiases = vars[key]62        }63      } else {64        this.model[key] = vars[key]65      }66    })67    await this.loadVocab(path)68    await this.initCells()69    return this70  }71  async loadVocab(path) {72    const json = await fetch(`${path}/vocab.json`)73      .then(response => response.json())74      .catch(err => console.error(err))75    this.vocab = json76    this.vocabSize = Object.keys(json).length77  }78  async initCells() {79    this.cells = []80    this.zeroState = { c: [], h: [] }81    const forgetBias = tf.tensor(1.0)82    const lstm = i => {83      const cell = (DATA, C, H) =>84        tf.basicLSTMCell(85          forgetBias,86          this.model[`Kernel_${i}`],87          this.model[`Bias_${i}`],88          DATA,89          C,90          H,91        )92      return cell93    }94    for (let i = 0; i < this.cellsAmount; i += 1) {95      this.zeroState.c.push(tf.zeros([1, this.model[`Bias_${i}`].shape[0] / 4]))96      this.zeroState.h.push(tf.zeros([1, this.model[`Bias_${i}`].shape[0] / 4]))97      this.cells.push(lstm(i))98    }99    this.state = this.zeroState100  }101  async generateInternal(options) {102    await this.ready103    const seed = options.seed || this.defaults.seed104    const length = +options.length || this.defaults.length105    const temperature = +options.temperature || this.defaults.temperature106    const stateful = options.stateful || this.defaults.stateful107    if (!stateful) {108      this.state = this.zeroState109    }110    const results = []111    const userInput = Array.from(seed)112    const encodedInput = []113    userInput.forEach(char => {114      encodedInput.push(this.vocab[char])115    })116    let input = encodedInput[0]117    let probabilitiesNormalized = [] // will contain final probabilities (normalized)118    for (let i = 0; i < userInput.length + length + -1; i += 1) {119      const onehotBuffer = tf.buffer([1, this.vocabSize])120      onehotBuffer.set(1.0, 0, input)121      const onehot = onehotBuffer.toTensor()122      let output123      if (this.model.embedding) {124        const embedded = tf.matMul(onehot, this.model.embedding)125        output = tf.multiRNNCell(126          this.cells,127          embedded,128          this.state.c,129          this.state.h,130        )131      } else {132        output = tf.multiRNNCell(this.cells, onehot, this.state.c, this.state.h)133      }134      this.state.c = output[0]135      this.state.h = output[1]136      const outputH = this.state.h[1]137      const weightedResult = tf.matMul(138        outputH,139        this.model.fullyConnectedWeights,140      )141      const logits = tf.add(weightedResult, this.model.fullyConnectedBiases)142      const divided = tf.div(logits, tf.tensor(temperature))143      const probabilities = tf.exp(divided)144      probabilitiesNormalized = await tf145        .div(probabilities, tf.sum(probabilities))146        .data()147      if (i < userInput.length - 1) {148        input = encodedInput[i + 1]149      } else {150        input = sampleFromDistribution(probabilitiesNormalized)151        results.push(input)152      }153    }154    let generated = ""155    results.forEach(char => {156      const mapped = Object.keys(this.vocab).find(157        key => this.vocab[key] === char,158      )159      if (mapped) {160        generated += mapped161      }162    })163    this.probabilities = probabilitiesNormalized164    return {165      sample: generated,166      state: this.state,167    }168  }169  reset() {170    this.state = this.zeroState171  }172  // stateless173  async generate(options, callback) {174    this.reset()175    return callCallback(this.generateInternal(options), callback)176  }177  // stateful178  async predict(temp, callback) {179    let probabilitiesNormalized = []180    const temperature = temp > 0 ? temp : 0.1181    const outputH = this.state.h[1]182    const weightedResult = tf.matMul(outputH, this.model.fullyConnectedWeights)183    const logits = tf.add(weightedResult, this.model.fullyConnectedBiases)184    const divided = tf.div(logits, tf.tensor(temperature))185    const probabilities = tf.exp(divided)186    probabilitiesNormalized = await tf187      .div(probabilities, tf.sum(probabilities))188      .data()189    const sample = sampleFromDistribution(probabilitiesNormalized)190    const result = Object.keys(this.vocab).find(191      key => this.vocab[key] === sample,192    )193    this.probabilities = probabilitiesNormalized194    if (callback) {195      callback(result)196    }197    /* eslint max-len: ["error", { "code": 180 }] */198    const pm = Object.keys(this.vocab).map(c => ({199      char: c,200      probability: this.probabilities[this.vocab[c]],201    }))202    return {203      sample: result,204      probabilities: pm,205    }206  }207  async feed(inputSeed, callback) {208    await this.ready209    const seed = Array.from(inputSeed)210    const encodedInput = []211    seed.forEach(char => {212      encodedInput.push(this.vocab[char])213    })214    let input = encodedInput[0]215    for (let i = 0; i < seed.length; i += 1) {216      const onehotBuffer = tf.buffer([1, this.vocabSize])217      onehotBuffer.set(1.0, 0, input)218      const onehot = onehotBuffer.toTensor()219      let output220      if (this.model.embedding) {221        const embedded = tf.matMul(onehot, this.model.embedding)222        output = tf.multiRNNCell(223          this.cells,224          embedded,225          this.state.c,226          this.state.h,227        )228      } else {229        output = tf.multiRNNCell(this.cells, onehot, this.state.c, this.state.h)230      }231      this.state.c = output[0]232      this.state.h = output[1]233      input = encodedInput[i]234    }235    if (callback) {236      callback()237    }238  }239}240const charRNN = (modelPath = "./", callback) => new CharRNN(modelPath, callback)241export default charRNN...

caesar.js

Source:caesar.js

1// Please refrain from tampering with the setup code provided here,2// as the index.html and test files rely on this setup to work properly.3// Only add code (helper methods, variables, etc.) within the scope4// of the anonymous function on line 65const caesarModule = (function () {6  // you can add any code you want within this function scope7  function caesar(input, shift, encode = true) {8    const alphabets=[9      'A','B','C','D','E',10      'F','G','H','I','J','K',11    'L','M','N','O','P','Q','R',12    'S', 'T','U','V','W','X','Y','Z'13    ]14if(!shift || shift< -25 || shift>25) return false15const helperFuncOne=(input) =>{16   return input.toUpperCase().split('').map(character => {17    if(alphabets.indexOf(character)!==-1){18      return alphabets.indexOf(character)19    }else{20      return character21    }22  })23}24 if(shift>0 && encode){25let encodedInput=''26      const modifiedInputToArrayAndGetIndex=helperFuncOne(input)27   for(let index of modifiedInputToArrayAndGetIndex){28        if(typeof index ==='string'){29          encodedInput+=index30          continue31        }32        let addIndexAndShift=index+shift33        if(addIndexAndShift <=25) {34          encodedInput+=alphabets[addIndexAndShift]35        }else {36          let totalIndexInAlphabets=2537          while(addIndexAndShift>totalIndexInAlphabets){38            addIndexAndShift-=totalIndexInAlphabets39            if(addIndexAndShift<=25){40              encodedInput+=alphabets[addIndexAndShift-1]41              break42            }43          }44        }45      }46return encodedInput.toLowerCase()47    }48    else if(shift <0 && encode){49      let encodedInput=''50      const modifiedInputToArrayAndGetIndex=helperFuncOne(input)51      for(let index of modifiedInputToArrayAndGetIndex){52        if(typeof index ==='string'){53          encodedInput+=index54          continue55        }56        let addIndexAndShift=index+shift57        if(Math.sign(addIndexAndShift)===1 ) {58          encodedInput+=alphabets[addIndexAndShift]59        }else{60          let totalIndexInAlphabets=2561   while(addIndexAndShift<0){62              addIndexAndShift+=totalIndexInAlphabets63              if(addIndexAndShift>=0){64                encodedInput+=alphabets[addIndexAndShift+1]65                break66              }67  68            }69        }70      71      }72      return encodedInput.toLowerCase()73    }else if(shift>0 && !encode){74      let decodedInput=''75      const modifiedInputToArrayAndGetIndex=helperFuncOne(input)76      for(let index of modifiedInputToArrayAndGetIndex){77        if(typeof index ==='string'){78          decodedInput+=index79          continue80        }81        let addIndexAndShift=index-shift82        if(Math.sign(addIndexAndShift)===1 ||  addIndexAndShift===0) {83          decodedInput+=alphabets[addIndexAndShift]84        }else{85          let totalIndexInAlphabets=2586   while(addIndexAndShift<0){87              addIndexAndShift+=totalIndexInAlphabets88              if(addIndexAndShift>=0){89                decodedInput+=alphabets[addIndexAndShift+1]90                break91              }92  93            }94        }95      96      }97      return decodedInput.toLowerCase()98    }else if(shift <0 && !encode){99let encodedInput=''100const modifiedInputToArrayAndGetIndex=helperFuncOne(input)101for(let index of modifiedInputToArrayAndGetIndex){102  if(typeof index ==='string'){103    encodedInput+=index104    continue105  }106  let addIndexAndShift=index-shift107  if(addIndexAndShift <=25) {108    encodedInput+=alphabets[addIndexAndShift]109  }else {110    let totalIndexInAlphabets=25111    while(addIndexAndShift>totalIndexInAlphabets){112      addIndexAndShift-=totalIndexInAlphabets113      if(addIndexAndShift<=25){114        encodedInput+=alphabets[addIndexAndShift-1]115        break116      }117    }118  }119}120return encodedInput.toLowerCase()121    }122  }123  return {124    caesar,125  };126})();...

355.1.js

Source:355.1.js

1const alphabet = "abcdefghijklmnopqrstuvwxyz";2const rotate = n => {3  const slice = alphabet.slice(0, n);4  return alphabet.slice(n).concat(slice);5};6const getCodeString = (keyWord, length) => {7  const keyLength = keyWord.length;8  if (!keyLength) {9    return "";10  }11  return keyWord.repeat(Math.ceil(length / keyLength));12};13const encode = (keyWord, input) => {14  const codeString = getCodeString(keyWord, input.length);15  return input16    .split("")17    .map((letter, index) => {18      const rotatedAlphabet = rotate(alphabet.indexOf(letter));19      return rotatedAlphabet[alphabet.indexOf(codeString.charAt(index))];20    })21    .join("");22};23const decode = (keyWord, encodedInput) => {24  const codeString = getCodeString(keyWord, encodedInput.length);25  return encodedInput26    .split("")27    .map((letter, index) => {28      const rotatedAlphabet = rotate(29        alphabet.indexOf(codeString.charAt(index))30      );31      return alphabet[rotatedAlphabet.indexOf(letter)];32    })33    .join("");34};...

Using AI Code Generation

1var wpt = require('webpagetest');2var wpt = new WebPageTest('www.webpagetest.org');3wpt.runTest(testURL, function(err, data) {4  if (err) return console.error(err);5  wpt.getTestStatus(data.data.testId, function(err, data) {6    if (err) return console.error(err);7    console.log('Test status:');8    console.log(data);9  });10});11var wpt = require('webpagetest');12var wpt = new WebPageTest('www.webpagetest.org');13wpt.runTest(testURL, function(err, data) {14  if (err) return console.error(err);15  wpt.getTestResults(data.data.testId, function(err, data) {16    if (err) return console.error(err);17    console.log('Test status:');18    console.log(data);19  });20});

Using AI Code Generation

1var wpt = require('webpagetest');2var wpt = new WebPageTest('www.webpagetest.org', 'A.12345678901234567890123456789012');3wpt.runTest('www.webpagetest.org', {location: 'Dulles:Chrome'}, function(err, data) {4    if (err) return console.error(err);5    console.log('Test status:', data.statusText);6    if (data.statusCode == 200) {7        console.log('Test started:', data.data.testUrl);8        console.log('Test ID:', data.data.testId);9    }10});

Using AI Code Generation

1var wptools = require('wptools');2var encodedInput = wptools.encodedInput;3var options = {4};5var page = wptools.page('Albert Einstein', options);6page.get(function(err, info, raw) {7  if (err) {8    console.log(err);9  } else {10    console.log(info);11  }12});13var wptools = require('wptools');14var encodedInput = wptools.encodedInput;15var options = {16};17var page = wptools.page('Albert Einstein', options);18page.get(function(err, info, raw) {19  if (err) {20    console.log(err);21  } else {22    console.log(info);23  }24});25[MIT](LICENSE)

Using AI Code Generation

1var wpt = require('wpt-client');2wpt.getTestInfo('testID', function(err, data) {3    if (err) {4        console.log(err);5    } else {6        console.log(data);7    }8});9MIT © [Rajesh](

Using AI Code Generation

1var wptextEncoder = new WptextEncoder();2var wptextDecoder = new WptextDecoder();3var str = 'Hello World';4var encoded = wptextEncoder.encode(str);5console.log(encoded);6var decoded = wptextDecoder.decode(encoded);7console.log(decoded);

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