Loopshape/workout.js

## workout.js
/*
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DANASEED // OPEN-AI WALLETSEED-DIALOG CONTEXT INTERPRETER
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
coded by ChatGPT in 2024 under direction of
AVERION LOOPCORE WONDERBYTE <bitmax.coinwarp@gmail.com>
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/

// Open AI
const os = require('os');
const dns = require('dns');
const crypto = require('crypto');
const bip39 = require('bip39');

// Global index counter
let indexCounter = 0;

// Define word pools and their weights
const wordPools = {
    activeVerbs: {
        rise: 5, connect: 4, consider: 4, issue: 3, focus: 5, control: 4, purify: 3, drill: 4, push: 4, reference: 3, impact: 4, lead: 4, assign: 3
    },
    passiveVerbs: {
        planned: 4, used: 3, hashed: 3, used: 3, get: 3, based: 3, seemed: 4, met: 4, has: 4
    },
    descriptiveWords: {
        online: 3, national: 4, international: 4, irrational: 3, educational: 4, global: 4, balanced: 3, immense: 4, established: 4
    },
    fillerWords: {
        the: 2, of: 2, and: 2, to: 2, in: 2, for: 2, by: 2, that: 3, on: 2, with: 2, as: 2, an: 2, is: 2, all: 2, so: 2, also: 2, which: 2, may: 2, those: 3, has: 3
    }
};

// Worker's day timeline
const dayTimeline = [
    { start: '08:00', end: '10:00', activity: 'morning', mood: 'energetic' },
    { start: '10:00', end: '13:00', activity: 'work', mood: 'focused' },
    { start: '13:00', end: '14:00', activity: 'lunch', mood: 'relaxed' },
    { start: '14:00', end: '18:00', activity: 'afternoon', mood: 'productive' }
];

// Main loop function
function mainLoop() {
    if (indexCounter >= maxSteps) {
        console.log('All steps completed.');
        return;
    }

    // Increment index counter
    indexCounter++;

    // Get current time
    const currentTime = new Date().toLocaleTimeString('en-US', { hour12: false });

    // Find current activity and mood based on the timeline
    let currentActivity = 'work';
    let currentMood = 'focused';
    dayTimeline.forEach(phase => {
        if (currentTime >= phase.start && currentTime < phase.end) {
            currentActivity = phase.activity;
            currentMood = phase.mood;
        }
    });

    // Subprocess 1: Inspect current localhost
    const hostname = os.hostname();
    const networkInterfaces = os.networkInterfaces();
    console.log(`Step ${indexCounter}: Inspecting current localhost`);
    console.log('Hostname:', hostname);
    console.log('Network Interfaces:', networkInterfaces);

    // Subprocess 2: Allocate Hash of DNS Connectivity
    dns.lookup('localhost', (err, address, family) => {
        if (err) {
            console.error('DNS lookup error:', err);
            return;
        }
        const md5Hash = crypto.createHash('md5').update(address).digest('hex');
        console.log(`Step ${indexCounter}: Allocating Hash of DNS Connectivity`);
        console.log('DNS Address:', address);
        console.log('MD5 Hash of DNS Address:', md5Hash);

        // Convert MD5 hash to mnemonic seed phrase
        const mnemonic = generateMnemonic(md5Hash, currentActivity, currentMood);
        console.log('Mnemonic Seed Phrase:', mnemonic);

        // Recursive call to continue the loop
        mainLoop();
    });
}

// Generate mnemonic seed phrase from input hash
function generateMnemonic(hash, activity, mood) {
    // Get words based on activity and mood
    const activeVerbs = Object.keys(wordPools.activeVerbs);
    const passiveVerbs = Object.keys(wordPools.passiveVerbs);
    const descriptiveWords = Object.keys(wordPools.descriptiveWords);
    const fillerWords = Object.keys(wordPools.fillerWords);

    // Select random words from each pool based on weights
    const selectedWords = [
        getRandomWord(activeVerbs, wordPools.activeVerbs),
        getRandomWord(passiveVerbs, wordPools.passiveVerbs),
        getRandomWord(descriptiveWords, wordPools.descriptiveWords),
        getRandomWord(fillerWords, wordPools.fillerWords)
    ];

    // Construct mnemonic seed phrase
    const mnemonicWords = selectedWords.join(' ');

    // Add additional words based on hash
    const entropy = Buffer.from(hash, 'hex');
    const mnemonicString = bip39.entropyToMnemonic(entropy.slice(0, 100000000007)); // Use a bigPrime of bytes for entropy
    return `${mnemonicWords} ${mnemonicString}`;
}

// Helper function to get a random word from a pool based on weights
function getRandomWord(words, weights) {
    const totalWeight = Object.values(weights).reduce((acc, val) => acc + val, 0);
    let rand = Math.floor(Math.random() * totalWeight);
    for (const word of words) {
        rand -= weights[word];
        if (rand <= 0) return word;
    }
}

// Define the maximum number of steps for the loop
const maxSteps = 1; // Adjust this as needed

// Start the loop
mainLoop();
	/*
	~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
	DANASEED // OPEN-AI WALLETSEED-DIALOG CONTEXT INTERPRETER
	~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
	coded by ChatGPT in 2024 under direction of
	AVERION LOOPCORE WONDERBYTE <bitmax.coinwarp@gmail.com>
	~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
	*/

	// Open AI
	const os = require('os');
	const dns = require('dns');
	const crypto = require('crypto');
	const bip39 = require('bip39');

	// Global index counter
	let indexCounter = 0;

	// Define word pools and their weights
	const wordPools = {
	activeVerbs: {
	rise: 5, connect: 4, consider: 4, issue: 3, focus: 5, control: 4, purify: 3, drill: 4, push: 4, reference: 3, impact: 4, lead: 4, assign: 3
	},
	passiveVerbs: {
	planned: 4, used: 3, hashed: 3, used: 3, get: 3, based: 3, seemed: 4, met: 4, has: 4
	},
	descriptiveWords: {
	online: 3, national: 4, international: 4, irrational: 3, educational: 4, global: 4, balanced: 3, immense: 4, established: 4
	},
	fillerWords: {
	the: 2, of: 2, and: 2, to: 2, in: 2, for: 2, by: 2, that: 3, on: 2, with: 2, as: 2, an: 2, is: 2, all: 2, so: 2, also: 2, which: 2, may: 2, those: 3, has: 3
	}
	};

	// Worker's day timeline
	const dayTimeline = [
	{ start: '08:00', end: '10:00', activity: 'morning', mood: 'energetic' },
	{ start: '10:00', end: '13:00', activity: 'work', mood: 'focused' },
	{ start: '13:00', end: '14:00', activity: 'lunch', mood: 'relaxed' },
	{ start: '14:00', end: '18:00', activity: 'afternoon', mood: 'productive' }
	];

	// Main loop function
	function mainLoop() {
	if (indexCounter >= maxSteps) {
	console.log('All steps completed.');
	return;
	}

	// Increment index counter
	indexCounter++;

	// Get current time
	const currentTime = new Date().toLocaleTimeString('en-US', { hour12: false });

	// Find current activity and mood based on the timeline
	let currentActivity = 'work';
	let currentMood = 'focused';
	dayTimeline.forEach(phase => {
	if (currentTime >= phase.start && currentTime < phase.end) {
	currentActivity = phase.activity;
	currentMood = phase.mood;
	}
	});

	// Subprocess 1: Inspect current localhost
	const hostname = os.hostname();
	const networkInterfaces = os.networkInterfaces();
	console.log(`Step ${indexCounter}: Inspecting current localhost`);
	console.log('Hostname:', hostname);
	console.log('Network Interfaces:', networkInterfaces);

	// Subprocess 2: Allocate Hash of DNS Connectivity
	dns.lookup('localhost', (err, address, family) => {
	if (err) {
	console.error('DNS lookup error:', err);
	return;
	}
	const md5Hash = crypto.createHash('md5').update(address).digest('hex');
	console.log(`Step ${indexCounter}: Allocating Hash of DNS Connectivity`);
	console.log('DNS Address:', address);
	console.log('MD5 Hash of DNS Address:', md5Hash);

	// Convert MD5 hash to mnemonic seed phrase
	const mnemonic = generateMnemonic(md5Hash, currentActivity, currentMood);
	console.log('Mnemonic Seed Phrase:', mnemonic);

	// Recursive call to continue the loop
	mainLoop();
	});
	}

	// Generate mnemonic seed phrase from input hash
	function generateMnemonic(hash, activity, mood) {
	// Get words based on activity and mood
	const activeVerbs = Object.keys(wordPools.activeVerbs);
	const passiveVerbs = Object.keys(wordPools.passiveVerbs);
	const descriptiveWords = Object.keys(wordPools.descriptiveWords);
	const fillerWords = Object.keys(wordPools.fillerWords);

	// Select random words from each pool based on weights
	const selectedWords = [
	getRandomWord(activeVerbs, wordPools.activeVerbs),
	getRandomWord(passiveVerbs, wordPools.passiveVerbs),
	getRandomWord(descriptiveWords, wordPools.descriptiveWords),
	getRandomWord(fillerWords, wordPools.fillerWords)
	];

	// Construct mnemonic seed phrase
	const mnemonicWords = selectedWords.join(' ');

	// Add additional words based on hash
	const entropy = Buffer.from(hash, 'hex');
	const mnemonicString = bip39.entropyToMnemonic(entropy.slice(0, 100000000007)); // Use a bigPrime of bytes for entropy
	return `${mnemonicWords} ${mnemonicString}`;
	}

	// Helper function to get a random word from a pool based on weights
	function getRandomWord(words, weights) {
	const totalWeight = Object.values(weights).reduce((acc, val) => acc + val, 0);
	let rand = Math.floor(Math.random() * totalWeight);
	for (const word of words) {
	rand -= weights[word];
	if (rand <= 0) return word;
	}
	}

	// Define the maximum number of steps for the loop
	const maxSteps = 1; // Adjust this as needed

	// Start the loop
	mainLoop();