WPM Library for Nitro Type

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

Tento skript by neměl být instalován přímo. Jedná se o knihovnu, kterou by měly jiné skripty využívat pomocí meta příkazu // @require https://update.greasyfork.org/scripts/513772/1470274/WPM%20Library%20for%20Nitro%20Type.js

K instalaci tototo skriptu si budete muset nainstalovat rozšíření jako Tampermonkey, Greasemonkey nebo Violentmonkey.

You will need to install an extension such as Tampermonkey to install this script.

K instalaci tohoto skriptu si budete muset nainstalovat rozšíření jako Tampermonkey nebo Violentmonkey.

K instalaci tohoto skriptu si budete muset nainstalovat rozšíření jako Tampermonkey nebo Userscripts.

You will need to install an extension such as Tampermonkey to install this script.

K instalaci tohoto skriptu si budete muset nainstalovat manažer uživatelských skriptů.

(Už mám manažer uživatelských skriptů, nechte mě ho nainstalovat!)

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

(Už mám manažer uživatelských stylů, nechte mě ho nainstalovat!)

// ==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,
  };
})();