const linearSearch = (arr, item) => {
  for (const i in arr) {
    if (arr[i] === item) return +i;
  }
  return -1;
};

linearSearch([2, 9, 9], 9); // 1
linearSearch([2, 9, 9], 7); // -1

class TreeNode {
  constructor(data, depth) {
    this.data = data;
    this.children = [];
    this.depth = depth;
  }
}

function buildNaryTree(hosts) {
  const nodeMap = {};

  // Step 1: Create a map of nodes using fqdn as the key
  hosts.forEach((host) => {
    nodeMap[host.fqdn] = new TreeNode(host, 0); // Initialize depth to 0
  });

  // Step 2: Iterate through the array and add each node to its parent's list of children
  hosts.forEach((host) => {
    if (host.displayParent) {
      if (nodeMap[host.displayParent]) {
        const parent = nodeMap[host.displayParent];
        const node = nodeMap[host.fqdn];
        node.depth = parent.depth + 1; // Update the depth
        parent.children.push(node);
      } else {
        console.error(`Parent with fqdn ${host.displayParent} not found for ${host.fqdn}`);
      }
    }
  });

  // Find the root nodes (nodes with no parent)
  const rootNodes = hosts.filter((host) => !host.displayParent).map((host) => nodeMap[host.fqdn]);

  return rootNodes;
}

function treeToObjects(node) {
  const result = [];

  function inOrder(node) {
    if (!node) {
      return;
    }

    
    // Visit the current node and add it to the result
    result.push(node.data);

    // Visit children nodes first
    node.children.forEach((child) => {
      inOrder(child);
    });
  }

  inOrder(node);
  return result;
}

// Usage example
const hosts = [
  {
    fqdn: 'fqdn_1',
    display_name: 'Host 1',
  },
  {
    fqdn: 'fqdn_2',
    display_name: 'Host 2',
    displayParent: 'fqdn_1',
  },
  {
    fqdn: 'fqdn_3',
    display_name: 'Host 3'
  },
  {
    fqdn: 'fqdn_4',
    display_name: 'Host 4',
    displayParent: 'fqdn_3',
  },
  {
    fqdn: 'fqdn_5',
    display_name: 'Host 5',
    displayParent: 'fqdn_1',
  },
];

const tree = buildNaryTree(hosts);

// Function to convert the tree to an array of objects
function convertTreeToArray(nodes) {
  const result = [];
  nodes.forEach((node) => {
    result.push(...treeToObjects(node));
  });
  return result;
}

// Convert the tree back to an array of objects
const arrayFromTree = convertTreeToArray(tree);

console.log(arrayFromTree);

//Upvotes comments according to a regex pattern. I tried it out on https://www.reddit.com/r/VALORANT/comments/ne74n4/please_admire_this_clip_precise_gunplay_btw/
//Known bugs:
	//If a comment was already upvoted, it gets downvoted
	//For some reason, it has around a 50-70% success rate. The case insensitive bit works, but I think some of the query selector stuff gets changed. Still, 50% is good

let comments = document.getElementsByClassName("_3tw__eCCe7j-epNCKGXUKk"); //Comment class
let commentsToUpvote = [];
const regexToMatch = /wtf/gi;
for(let comment of comments){
	let text = comment.querySelector("._1qeIAgB0cPwnLhDF9XSiJM"); //Comment content class
	if(text == undefined){
	continue;
	}
	text = text.textContent;
	if(regexToMatch.test(text)){
	console.log(text);
	commentsToUpvote.push(comment);
	}
}
function upvote(comment){
	console.log(comment.querySelector(".icon-upvote")); //Just showing you what it's doing
	comment.querySelector(".icon-upvote").click();
}
function slowRecurse(){
	let comment = commentsToUpvote.pop(); //It's gonna go bottom to top but whatever
	if(comment != undefined){
	upvote(comment);
	setTimeout(slowRecurse,500);
	}
}
slowRecurse();

const quickSort = arr => {
  const a = [...arr];
  if (a.length < 2) return a;
  const pivotIndex = Math.floor(arr.length / 2);
  const pivot = a[pivotIndex];
  const [lo, hi] = a.reduce(
    (acc, val, i) => {
      if (val < pivot || (val === pivot && i != pivotIndex)) {
        acc[0].push(val);
      } else if (val > pivot) {
        acc[1].push(val);
      }
      return acc;
    },
    [[], []]
  );
  return [...quickSort(lo), pivot, ...quickSort(hi)];
};

console.log(quickSort([1, 6, 1, 5, 3, 2, 1, 4])) // [1, 1, 1, 2, 3, 4, 5, 6]

const levenshteinDistance = (s, t) => {
  if (!s.length) return t.length;
  if (!t.length) return s.length;
  const arr = [];
  for (let i = 0; i <= t.length; i++) {
    arr[i] = [i];
    for (let j = 1; j <= s.length; j++) {
      arr[i][j] =
        i === 0
          ? j
          : Math.min(
              arr[i - 1][j] + 1,
              arr[i][j - 1] + 1,
              arr[i - 1][j - 1] + (s[j - 1] === t[i - 1] ? 0 : 1)
            );
    }
  }
  return arr[t.length][s.length];
};

levenshteinDistance('duck', 'dark'); // 2

const flat = arr => [].concat.apply([], arr.map(a => Array.isArray(a) ? flat(a) : a));
// Or
const flat = arr => arr.reduce((a, b) => Array.isArray(b) ? [...a, ...flat(b)] : [...a, b], []);

// Or
// See the browser compatibility at https://caniuse.com/#feat=array-flat
const flat = arr => arr.flat();

// Example
flat(['cat', ['lion', 'tiger']]);   // ['cat', 'lion', 'tiger']