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How to use sliceTokens method in wpt

Best JavaScript code snippet using wpt

error.js

Source:error.js

...42) {43  /**44   * @param {number} count45   */46  function sliceTokens(count) {47    return count > 048      ? source.slice(position, position + count)49      : source.slice(Math.max(position + count, 0), position);50  }51  function tokensToText(inputs, { precedes } = {}) {52    const text = inputs.map((t) => t.trivia + t.value).join("");53    const nextToken = source[position];54    if (nextToken.type === "eof") {55      return text;56    }57    if (precedes) {58      return text + nextToken.trivia;59    }60    return text.slice(nextToken.trivia.length);61  }62  const maxTokens = 5; // arbitrary but works well enough63  const line =64    source[position].type !== "eof"65      ? source[position].line66      : source.length > 167      ? source[position - 1].line68      : 1;69  const precedingLastLine = lastLine(70    tokensToText(sliceTokens(-maxTokens), { precedes: true })71  );72  const subsequentTokens = sliceTokens(maxTokens);73  const subsequentText = tokensToText(subsequentTokens);74  const subsequentFirstLine = subsequentText.split("\n")[0];75  const spaced = " ".repeat(precedingLastLine.length) + "^";76  const sourceContext = precedingLastLine + subsequentFirstLine + "\n" + spaced;77  const contextType = kind === "Syntax" ? "since" : "inside";78  const inSourceName = source.name ? ` in ${source.name}` : "";79  const grammaticalContext =80    current && current.name81      ? `, ${contextType} \`${current.partial ? "partial " : ""}${contextAsText(82          current83        )}\``84      : "";85  const context = `${kind} error at line ${line}${inSourceName}${grammaticalContext}:\n${sourceContext}`;86  return {...

Using AI Code Generation

1var wptokenizer = require('wptokenizer');2var tokenizer = new wptokenizer();3var text = "This is a test.";4var tokens = tokenizer.sliceTokens(text);5console.log(tokens);6MIT License (MIT)

Using AI Code Generation

1var wptokenizer = require('wptokenizer');2var fs = require('fs');3var tokenizer = new wptokenizer();4var text = fs.readFileSync('test.txt', 'utf8');5var tokens = tokenizer.sliceTokens(text);6console.log(tokens);

Using AI Code Generation

1var wptokenizer = require('wptokenizer');2var tokenizer = new wptokenizer();3var tokens = tokenizer.sliceTokens('Hello World! How are you?');4console.log(tokens);5var wptokenizer = require('wptokenizer');6var tokenizer = new wptokenizer();7var sentences = tokenizer.sliceSentences('Hello World! How are you?');8console.log(sentences);9var wptokenizer = require('wptokenizer');10var tokenizer = new wptokenizer();11var paragraphs = tokenizer.sliceParagraphs('Hello World! How are you? This is a new paragraph.');12console.log(paragraphs);13var wptokenizer = require('wptokenizer');14var tokenizer = new wptokenizer();15var words = tokenizer.sliceWords('Hello World! How are you? This is a new paragraph.');16console.log(words);17var wptokenizer = require('wptokenizer');18var tokenizer = new wptokenizer();19var sentences = tokenizer.sliceSentencesWithTokens('Hello World! How are you? This is a new paragraph.');20console.log(sentences);

Using AI Code Generation

1var wptokenizer = require('wptokenizer');2var tokenizedText = wptokenizer.sliceTokens('This is a test sentence.');3console.log(tokenizedText);4var wptokenizer = require('wptokenizer');5var tokenizedText = wptokenizer.tokenize('This is a test sentence.');6console.log(tokenizedText);7[ { text: 'This', type: 'word' },8  { text: 'is', type: 'word' },9  { text: 'a', type: 'word' },10  { text: 'test', type: 'word' },11  { text: 'sentence', type: 'word' },12  { text: '.', type: 'punctuation' } ]13var wptokenizer = require('wptokenizer');14var tokenizedText = wptokenizer.tokenize('This is a test sentence.');15console.log(tokenizedText);16var wptokenizer = require('wptokenizer');17var tokenizedText = wptokenizer.tokenize('This is a test sentence. 1 2 3 4 5 6 7 8 9 10');18console.log(tokenizedText);19var wptokenizer = require('wptokenizer

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