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Huffman_code.h
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166 lines (137 loc) · 4.8 KB
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#ifndef TOOLS_TO_REMEMBER_HUFFMAN_CODE_H
#define TOOLS_TO_REMEMBER_HUFFMAN_CODE_H
class Huffman_code {
// alphabet size of extended ASCII
private static final int R = 256;
// Do not instantiate.
private Huffman() {
}
// Huffman trie node
private static class Node implements Comparable<Node> {
private final char ch;
private final int freq;
private final Node left, right;
Node(char ch, int freq, Node left, Node right) {
this.ch = ch;
this.freq = freq;
this.left = left;
this.right = right;
}
// is the node a leaf node?
private boolean isLeaf() {
assert ((left == null) && (right == null)) || ((left != null) && (right != null));
return (left == null) && (right == null);
}
// compare, based on frequency
public int compareTo(Node that) {
return this.freq - that.freq;
}
}
/**
* Reads a sequence of 8-bit bytes from standard input; compresses them
* using Huffman codes with an 8-bit alphabet; and writes the results
* to standard output.
*/
public static void compress() {
// read the input
String s = BinaryStdIn.readString();
char[] input = s.toCharArray();
// tabulate frequency counts
int[] freq = new int[R];
for (int i = 0; i < input.length; i++)
freq[input[i]]++;
// build Huffman trie
Node root = buildTrie(freq);
// build code table
String[] st = new String[R];
buildCode(st, root, "");
// print trie for decoder
writeTrie(root);
// print number of bytes in original uncompressed message
BinaryStdOut.write(input.length);
// use Huffman code to encode input
for (int i = 0; i < input.length; i++) {
String code = st[input[i]];
for (int j = 0; j < code.length(); j++) {
if (code.charAt(j) == '0') {
BinaryStdOut.write(false);
} else if (code.charAt(j) == '1') {
BinaryStdOut.write(true);
} else throw new IllegalStateException("Illegal state");
}
}
// close output stream
BinaryStdOut.close();
}
// build the Huffman trie given frequencies
private static Node buildTrie(int[] freq) {
// initialze priority queue with singleton trees
MinPQ<Node> pq = new MinPQ<Node>();
for (char i = 0; i < R; i++)
if (freq[i] > 0)
pq.insert(new Node(i, freq[i], null, null));
// special case in case there is only one character with a nonzero frequency
if (pq.size() == 1) {
if (freq['\0'] == 0) pq.insert(new Node('\0', 0, null, null));
else pq.insert(new Node('\1', 0, null, null));
}
// merge two smallest trees
while (pq.size() > 1) {
Node left = pq.delMin();
Node right = pq.delMin();
Node parent = new Node('\0', left.freq + right.freq, left, right);
pq.insert(parent);
}
return pq.delMin();
}
// write bitstring-encoded trie to standard output
private static void writeTrie(Node x) {
if (x.isLeaf()) {
BinaryStdOut.write(true);
BinaryStdOut.write(x.ch, 8);
return;
}
BinaryStdOut.write(false);
writeTrie(x.left);
writeTrie(x.right);
}
// make a lookup table from symbols and their encodings
private static void buildCode(String[] st, Node x, String s) {
if (!x.isLeaf()) {
buildCode(st, x.left, s + '0');
buildCode(st, x.right, s + '1');
} else {
st[x.ch] = s;
}
}
/**
* Reads a sequence of bits that represents a Huffman-compressed message from
* standard input; expands them; and writes the results to standard output.
*/
public static void expand() {
// read in Huffman trie from input stream
Node root = readTrie();
// number of bytes to write
int length = BinaryStdIn.readInt();
// decode using the Huffman trie
for (int i = 0; i < length; i++) {
Node x = root;
while (!x.isLeaf()) {
boolean bit = BinaryStdIn.readBoolean();
if (bit) x = x.right;
else x = x.left;
}
BinaryStdOut.write(x.ch, 8);
}
BinaryStdOut.close();
}
private static Node readTrie() {
boolean isLeaf = BinaryStdIn.readBoolean();
if (isLeaf) {
return new Node(BinaryStdIn.readChar(), -1, null, null);
} else {
return new Node('\0', -1, readTrie(), readTrie());
}
}
};
#endif // TOOLS_TO_REMEMBER_HUFFMAN_CODE_H