OpenAI is shockingly good at unminifying code

While browsing the Internet for inspiration, I came across an interesting-looking component.

I thought the block with the running ASCII art looked cool, but I couldn't quite figure out how it was implemented, so I started looking at the source code.

I found the code that looked like it might be doing the job, but it was minified.

const { floor: ra, abs: KE, min: QE } = Math,
    O5 = ["reactive.network REACTIVE.NETWORK", "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/|()1{}[]?-_+~a8093152e673feb7aba1828c43532094i!lI;:,^`'. .:â–‘â–’â–“â–ˆ"],
    G7 = Date.now() % 3 ? O5[1] : O5[0],
    V5 = G7.length,
    JE = { fps: 60 };
function eT(e, t, n, r) {
    const i = t.time * 8e-5,
        s = QE(t.cols, t.rows),
        o = t.metrics.aspect * 0.2,
        l = { x: ((4 * (e.x - t.cols / 6.25)) / s) * o, y: (5 * (e.y - t.rows / 4)) / s },
        u = ra(KE(YE(l) - i) * V5 + (ra(e.x / 1) % 2) * 2) % V5;
    return G7[u];
}
const tT = () => {
    const e = j.useRef(null),
        [t, n] = j.useState({ height: null, width: null });
    return (
        j.useEffect(() => {
            function r() {
                n({ height: window.innerHeight, width: window.innerWidth });
            }
            if (typeof window dafbbf1a78d14ec01566d43c1a22cf2b window.removeEventListener("resize", r);
        }, []),
        j.useEffect(() => {
            const r = e.current;
            if (!r) return;
            const i = 12,
                s = ra(t.width / i) * 1.6,
                o = ra(t.height / i),
                l = { aspect: s / o },
                u = setInterval(() => {
                    let c = "";
                    for (let d = 0; d ed13b14c66b5eaf21efce6eda4db6f70 clearInterval(u);
        }, [t]),
        a.jsx("div", { style: { position: "absolute", top: 0, left: 0, width: "100%", height: "100%" }, children: a.jsx("div", { ref: e, style: { width: "100%", height: "100%", whiteSpace: "pre", overflow: "hidden" } }) })
    );
};
function nT(e) {
    return Math.cos(e.x * e.x - e.y * e.y);
}
const { floor: ia, abs: rT, min: iT } = Math,
    D5 = ["reactive.network REACTIVE.NETWORK", "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/|()1{}[]?-_+~a8093152e673feb7aba1828c43532094i!lI;:,^`'. .:â–‘â–’â–“â–ˆ"],
    X7 = Date.now() % 3 ? D5[1] : D5[0],
    F5 = X7.length,
    sT = { fps: 60 };
function oT(e, t, n, r) {
    const i = t.time * 8e-5,
        s = iT(t.cols, t.rows),
        o = t.metrics.aspect * 0.2,
        l = { x: ((4 * (e.x - t.cols / 6.25)) / s) * o, y: (5 * (e.y - t.rows / 4)) / s },
        u = ia(rT(nT(l) - i) * F5 + (ia(e.x / 1) % 2) * 2) % F5;
    return X7[u];
}
const aT = () => {
    const e = j.useRef(null),
        [t, n] = j.useState({ height: null, width: null });
    return (
        j.useEffect(() => {
            function r() {
                n({ height: window.innerHeight, width: window.innerWidth });
            }
            if (typeof window dafbbf1a78d14ec01566d43c1a22cf2b window.removeEventListener("resize", r);
        }, []),
        j.useEffect(() => {
            const r = e.current;
            if (!r) return;
            const i = 12,
                s = ia(t.width / i) * 1.6,
                o = ia(t.height / i),
                l = { aspect: s / o },
                u = setInterval(() => {
                    let c = "";
                    for (let d = 0; d 8a91d61369cec1ccbd5e9c36acd2fffb clearInterval(u);
        }, [t]),
        a.jsx("div", { style: { position: "absolute", top: 0, left: 0, width: "100%", height: "100%" }, children: a.jsx("div", { ref: e, style: { width: "100%", height: "100%", whiteSpace: "pre", overflow: "hidden" } }) })
    );
},

Usually, I would just powerthrough reading the minimized code to understand the implementation (or look for a .map file to restore the original code). However, I realized that I never tried asking ChatGPT to do it for me... So I copied all of the above code and asked ChatGPT to "explain the code". Here is the response:

The provided code is quite complex, but I'll break it down into a more understandable format, explaining its different parts and their functionalities.

Overview

The code defines several functions and components using JavaScript, specifically in the context of a React application. It deals with generating some dynamic text content, presumably ASCII art or some kind of visual effect using characters from a predefined set. Additionally, it includes utility functions for event handling, performance timing, and HTML content conversion.

Key Components and Functions

1. Character Set Selection:

``javascript
const { floor: ra, abs: KE, min: QE } = Math;
const O5 = ["reactive.network REACTIVE.NETWORK", "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/|()1{}[]?-_+~a8093152e673feb7aba1828c43532094i!lI;:,^'. .:â–‘â–’â–“â–ˆ"];
const G7 = Date.now() % 3 ? O5[1] : O5[0];
const V5 = G7.length;

   - This part of the code imports some common Math functions (`floor`, `abs`, and `min`) and defines two sets of characters, stored in `O5`. 
   - Based on the current time (`Date.now() % 3`), it selects one of these sets (`G7`) to use later.
   - The length of the selected character set is stored in `V5`.

2. **Dynamic Character Selection Function:**


    ```javascript
   function eT(e, t, n, r) {
       const i = t.time * 8e-5;
       const s = QE(t.cols, t.rows);
       const o = t.metrics.aspect * 0.2;
       const l = { x: ((4 * (e.x - t.cols / 6.25)) / s) * o, y: (5 * (e.y - t.rows / 4)) / s };
       const u = ra(KE(YE(l) - i) * V5 + (ra(e.x / 1) % 2) * 2) % V5;
       return G7[u];
   }

• The eT function generates a character based on the input position (e.x, e.y) and the current time (t.time).
• It adjusts the position using some aspect ratio calculations and selects a character from G7 based on a combination of the position and time.
• The purpose of YE function isn't directly clear from the code, but it seems to be a custom function used in this calculation.

1. React Component (tT) for Displaying Dynamic Content:

```javascript
const tT = () => {
const e = j.useRef(null);
const [t, n] = j.useState({ height: null, width: null });
j.useEffect(() => {
function r() {
n({ height: window.innerHeight, width: window.innerWidth });
}
if (typeof window 0fe9476604d9a4d00bbd482490f1086e window.removeEventListener("resize", r);
}
}, []);

   j.useEffect(() => {
       const r = e.current;
       if (!r) return;
       const i = 12;
       const s = ra(t.width / i) * 1.6;
       const o = ra(t.height / i);
       const l = { aspect: s / o };
       const u = setInterval(() => {
           let c = "";
           for (let d = 0; d < o; d++) {
               for (let f = 0; f < s; f++) c += eT({ x: f, y: d }, { cols: s, rows: o, metrics: l, time: Date.now() });
               c += `

`;
}
r.textContent = c;
}, 1e3 / JE.fps);
return () => clearInterval(u);
}, [t]);

   return a.jsx("div", { style: { position: "absolute", top: 0, left: 0, width: "100%", height: "100%" }, children: a.jsx("div", { ref: e, style: { width: "100%", height: "100%", whiteSpace: "pre", overflow: "hidden" } }) });

};

   - This is a React component that sets up an interval to periodically update the content of a `div` element (`e.current`) with dynamically generated characters.
   - It calculates the number of columns (`s`) and rows (`o`) based on the window size and then fills the `div` with characters generated by the `eT` function.
   - The effect runs at a specified frames per second (`JE.fps`).

I followed up asking to "implement equivalent code in TypeScript and make it human readable" and got the following response:

import React, { useEffect, useRef, useState } from 'react';

const selectedCharacterSet =
  "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/|()1{}[]?-_+~a8093152e673feb7aba1828c43532094i!lI;:,^`'. .:â–‘â–’â–“â–ˆ";
const characterSetLength = selectedCharacterSet.length;

const calculateCharacter = (
  x: number,
  y: number,
  cols: number,
  rows: number,
  aspect: number,
  time: number,
): string => {
  const timeFactor = time * 0.000_08;
  const size = Math.min(cols, rows);
  const aspectRatio = aspect * 0.2;
  const position = {
    x: ((4 * (x - cols / 6.25)) / size) * aspectRatio,
    y: (5 * (y - rows / 4)) / size,
  };

  const index =
    Math.floor(
      Math.abs(
        Math.cos(position.x * position.x - position.y * position.y) -
          timeFactor,
      ) *
        characterSetLength +
        (Math.floor(x) % 2) * 2,
    ) % characterSetLength;
  return selectedCharacterSet[index];
};

type Size = {
  height: null | number;
  width: null | number;
};

const AsciiArtGenerator: React.FC = () => {
  const textRef = useRef651b1947af8d8d0830a44c72d508a435(null);
  const [size, setSize] = useStatee04809189b57be3fcaf9655a9fa76f7b({ height: null, width: null });

  useEffect(() => {
    const handleResize = () => {
      setSize({ height: window.innerHeight, width: window.innerWidth });
    };

    // Initial size setting
    handleResize();

    window.addEventListener('resize', handleResize);
    return () => {
      window.removeEventListener('resize', handleResize);
    };
  }, []);

  useEffect(() => {
    const element = textRef.current;
    if (!element || !size.width || !size.height) return undefined;

    const cols = Math.floor(size.width / 12) * 1.6;
    const rows = Math.floor(size.height / 12);
    const aspectRatio = cols / rows;

    const intervalId = setInterval(() => {
      let content = '';

      for (let y = 0; y 02785904ae3ef7fc7c587735fdacd517 {
      clearInterval(intervalId);
    };
  }, [size]);

  return (
    36fbc7d3756ac2650ad381711fea4fe1
  );
};

export default () => {
  return 8a0f72462f85ea1b4ea15bb3e5adbada;
};

To my surprise, the response is not only good enough, but it is also very readable.

Here is the above component in action.

Comparing the outputs, it looks like LLM response overlooked a few implementation details, but it is still a good enough implementation to learn from. Definitely a neat use case I've not considered before!

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