WPM Library for Nitro Type

Library that calculates WPM, accuracy, and errors allowed for Nitro Type races

Dieses Skript sollte nicht direkt installiert werden. Es handelt sich hier um eine Bibliothek für andere Skripte, welche über folgenden Befehl in den Metadaten eines Skriptes eingebunden wird // @require https://update.greasyfork.org/scripts/513772/1470274/WPM%20Library%20for%20Nitro%20Type.js

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// ==UserScript==
// @name         WPM Library for Nitro Type
// @namespace    https://greasyfork.org/users/1331131-tensorflow-dvorak
// @version      2024-10-22
// @description  Library that calculates WPM, accuracy, and errors allowed for Nitro Type races
// @author       TensorFlow - Dvorak
// @match        *://*.nitrotype.com/race
// @match        *://*.nitrotype.com/race/*
// @require      https://update.greasyfork.org/scripts/501960/1418069/findReact.js
// @license      MIT
// @grant        none
// ==/UserScript==

(function () {
  "use strict";

  let startTime = null;
  let peakWPM = 0;
  let totalTypedCharacters = 0;
  let totalCorrectlyTypedCharacters = 0;
  let totalIncorrectTypedCharacters = 0;
  const trackedIncorrectLetters = new Set();
  let totalCharactersInRace = 0;
  let errorsAllowed = 0;

  function calculateWPM(totalCharacters, timeInSeconds) {
    const wordsTyped = totalCharacters / 5;
    const WPM = (wordsTyped * 60) / timeInSeconds;
    return WPM;
  }

  function calculateErrorsAllowed(totalCharacters) {
    return Math.floor(0.04 * totalCharacters);
  }

  function getCorrectlyTypedCharacterCount() {
    const correctLetters = document.querySelectorAll(
      ".dash-letter.is-correct.is-typed"
    );
    return correctLetters.length;
  }

  function detectMistakes() {
    const incorrectLetters = document.querySelectorAll(
      ".dash-letter.is-incorrect"
    );
    incorrectLetters.forEach((letter) => {
      if (!trackedIncorrectLetters.has(letter)) {
        totalIncorrectTypedCharacters += 1;
        trackedIncorrectLetters.add(letter);
        errorsAllowed = Math.max(0, errorsAllowed - 1);
      }
    });
  }

  function getTotalTypedCharacterCount() {
    const typedLetters = document.querySelectorAll(".dash-letter.is-typed");
    return typedLetters.length;
  }

  function getTotalCharacters() {
    const totalLetters = document.querySelectorAll(".dash-letter").length;
    return totalLetters;
  }

  function calculateAccuracy(correctCharacters, incorrectCharacters) {
    const totalTyped = correctCharacters + incorrectCharacters;
    return (correctCharacters / totalTyped) * 100;
  }

  function startTracking() {
    startTime = new Date();
    peakWPM = 0;
    totalTypedCharacters = 0;
    totalCorrectlyTypedCharacters = 0;
    totalIncorrectTypedCharacters = 0;
    trackedIncorrectLetters.clear();

    totalCharactersInRace = getTotalCharacters();
    errorsAllowed = calculateErrorsAllowed(totalCharactersInRace);
  }

  function updateTracking() {
    const currentTime = new Date();
    const elapsedTime = (currentTime - startTime) / 1000;

    const correctlyTypedCharacters = getCorrectlyTypedCharacterCount();
    totalTypedCharacters = getTotalTypedCharacterCount();
    detectMistakes();

    const wpm = calculateWPM(correctlyTypedCharacters, elapsedTime);
    const accuracy = calculateAccuracy(
      correctlyTypedCharacters,
      totalIncorrectTypedCharacters
    );

    if (wpm > peakWPM) {
      peakWPM = wpm;
    }

    return {
      wpm: Math.round(wpm),
      accuracy: accuracy.toFixed(2),
      errorsAllowed: errorsAllowed,
    };
  }

  window.WPMLibrary = {
    start: startTracking,
    update: updateTracking,
  };
})();