Question
I found this code from geeks for geeks for huffman coding, but I need help understanding it. First of all what does the struc compare
I found this code from geeks for geeks for huffman coding, but I need help understanding it. First of all what does the struc compare do? It returns a bool, why cant we put the bool in a function but in a struc? It does not look like a traditional struc where you define values. Second, priority_queue https://www.geeksforgeeks.org/greedy-algorithms-set-3-huffman-coding/ (C++ using STL) below is the copy paste code from this url
// C++ program for Huffman Coding #include using namespace std;
// A Huffman tree node struct MinHeapNode {
// One of the input characters char data;
// Frequency of the character unsigned freq;
// Left and right child MinHeapNode *left, *right;
MinHeapNode(char data, unsigned freq)
{
left = right = NULL; this->data = data; this->freq = freq; } };
// For comparison of // two heap nodes (needed in min heap) struct compare {
bool operator()(MinHeapNode* l, MinHeapNode* r)
{ return (l->freq > r->freq); } };
// Prints huffman codes from // the root of Huffman Tree. void printCodes(struct MinHeapNode* root, string str) {
if (!root) return;
if (root->data != '$') cout << root->data << ": " << str << " ";
printCodes(root->left, str + "0"); printCodes(root->right, str + "1"); }
// The main function that builds a Huffman Tree and // print codes by traversing the built Huffman Tree void HuffmanCodes(char data[], int freq[], int size) { struct MinHeapNode *left, *right, *top;
// Create a min heap & inserts all characters of data[] priority_queue
for (int i = 0; i < size; ++i) minHeap.push(new MinHeapNode(data[i], freq[i]));
// Iterate while size of heap doesn't become 1 while (minHeap.size() != 1) {
// Extract the two minimum // freq items from min heap left = minHeap.top(); minHeap.pop();
right = minHeap.top(); minHeap.pop();
// Create a new internal node with // frequency equal to the sum of the // two nodes frequencies. Make the // two extracted node as left and right children // of this new node. Add this node // to the min heap '$' is a special value // for internal nodes, not used top = new MinHeapNode('$', left->freq + right->freq);
top->left = left; top->right = right;
minHeap.push(top); }
// Print Huffman codes using // the Huffman tree built above printCodes(minHeap.top(), ""); }
// Driver program to test above functions int main() {
char arr[] = { 'a', 'b', 'c', 'd', 'e', 'f' }; int freq[] = { 5, 9, 12, 13, 16, 45 };
int size = sizeof(arr) / sizeof(arr[0]);
HuffmanCodes(arr, freq, size);
return 0; } |
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