javascript-algorithms/Huffman Coding/huffman.js

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2022-09-22 13:39:03 +08:00
// node class is the basic structure
// of each node present in the Huffman - tree.
class HuffmanNode
{
constructor()
{
this.data = 0;
this.c = '';
this.left = this.right = null;
}
}
// recursive function to print the
// huffman-code through the tree traversal.
// Here s is the huffman - code generated.
function printCode(root,s)
{
// base case; if the left and right are null
// then its a leaf node and we print
// the code s generated by traversing the tree.
if (root.left == null
&& root.right == null
&& (root.c).toLowerCase() != (root.c).toUpperCase()) {
// c is the character in the node
document.write(root.c + ":" + s+"<br>");
return;
}
// if we go to left then add "0" to the code.
// if we go to the right add"1" to the code.
// recursive calls for left and
// right sub-tree of the generated tree.
printCode(root.left, s + "0");
printCode(root.right, s + "1");
}
// main function
// number of characters.
let n = 6;
let charArray = [ 'a', 'b', 'c', 'd', 'e', 'f' ];
let charfreq = [ 5, 9, 12, 13, 16, 45 ];
// creating a priority queue q.
// makes a min-priority queue(min-heap).
let q = [];
for (let i = 0; i < n; i++) {
// creating a Huffman node object
// and add it to the priority queue.
let hn = new HuffmanNode();
hn.c = charArray[i];
hn.data = charfreq[i];
hn.left = null;
hn.right = null;
// add functions adds
// the huffman node to the queue.
q.push(hn);
}
// create a root node
let root = null;
q.sort(function(a,b){return a.data-b.data;});
// Here we will extract the two minimum value
// from the heap each time until
// its size reduces to 1, extract until
// all the nodes are extracted.
while (q.length > 1) {
// first min extract.
let x = q[0];
q.shift();
// second min extract.
let y = q[0];
q.shift();
// new node f which is equal
let f = new HuffmanNode();
// to the sum of the frequency of the two nodes
// assigning values to the f node.
f.data = x.data + y.data;
f.c = '-';
// first extracted node as left child.
f.left = x;
// second extracted node as the right child.
f.right = y;
// marking the f node as the root node.
root = f;
// add this node to the priority-queue.
q.push(f);
q.sort(function(a,b){return a.data-b.data;});
}
// print the codes by traversing the tree
printCode(root, "");
// This code is contributed by avanitrachhadiya2155