1.树的构建
package huffman;
public abstract class BinaryTreeBasis {
protected TreeNode root;
public BinaryTreeBasis() {
root = null;
} // end default constructor
public BinaryTreeBasis(Object rootItem) {
root = new TreeNode(rootItem, null, null);
} // end constructor
public boolean isEmpty() {
// Returns true if the tree is empty, else returns false.
return root == null;
} // end isEmpty
public void makeEmpty() {
// Removes all nodes from the tree.
root = null;
} // end makeEmpty
public Object getRootItem() throws TreeException {
// Returns the item in the trees root.
if (root == null) {
throw new TreeException("TreeException: Empty tree");
}
else {
return root.getItem();
} // end if
} // end getRootItem
public TreeNode getRoot() throws TreeException {
// additional method to return the root as TreeNode.
return root;
} // end getRoot
} // end BinaryTreeBasis
package huffman;
public class BinaryTree extends BinaryTreeBasis {
public BinaryTree() {
} // end default constructor
public BinaryTree(Object rootItem) {
super(rootItem);
} // end constructor
public BinaryTree(Object rootItem,
BinaryTree leftTree,
BinaryTree rightTree) {
root = new TreeNode(rootItem, null, null);
attachLeftSubtree(leftTree);
attachRightSubtree(rightTree);
} // end constructor
public void setRootItem(Object newItem) {
if (root != null) {
root.setItem(newItem);
}
else {
root = new TreeNode(newItem, null, null);
} // end if
} // end setRootItem
public void attachLeft(Object newItem) {
if (!isEmpty() && root.getLeft() == null) {
// assertion: nonempty tree; no left child
root.setLeft(new TreeNode(newItem, null, null));
} // end if
} // end attachLeft
public void attachRight(Object newItem) {
if (!isEmpty() && root.getRight() == null) {
// assertion: nonempty tree; no right child
root.setRight(new TreeNode(newItem, null, null));
} // end if
} // end attachRight
public void attachLeftSubtree(BinaryTree leftTree)
throws TreeException {
if (isEmpty()) {
throw new TreeException("TreeException: Empty tree");
}
else if (root.getLeft() != null) {
// a left subtree already exists; it should have been
// deleted first
throw new TreeException("TreeException: " +
"Cannot overwrite left subtree");
}
else {
// assertion: nonempty tree; no left child
root.setLeft(leftTree.root);
// don't want to leave multiple entry points into
// our tree
leftTree.makeEmpty();
} // end if
} // end attachLeftSubtree
public void attachRightSubtree(BinaryTree rightTree)
throws TreeException {
if (isEmpty()) {
throw new TreeException("TreeException: Empty tree");
}
else if (root.getRight() != null) {
// a right subtree already exists; it should have been
// deleted first
throw new TreeException("TreeException: " +
"Cannot overwrite right subtree");
}
else {
// assertion: nonempty tree; no right child
root.setRight(rightTree.root);
// don't want to leave multiple entry points into
// our tree
rightTree.makeEmpty();
} // end if
} // end attachRightSubtree
protected BinaryTree(TreeNode rootNode) {
root = rootNode;
} // end protected constructor
public BinaryTree detachLeftSubtree()
throws TreeException {
if (isEmpty()) {
throw new TreeException("TreeException: Empty tree");
}
else {
// create a new binary tree that has root's left
// node as its root
BinaryTree leftTree;
leftTree = new BinaryTree(root.getLeft());
root.setLeft(null);
return leftTree;
} // end if
} // end detachLeftSubtree
public BinaryTree detachRightSubtree()
throws TreeException {
if (isEmpty()) {
throw new TreeException("TreeException: Empty tree");
}
else {
BinaryTree rightTree;
rightTree = new BinaryTree(root.getRight());
root.setRight(null);
return rightTree;
} // end if
} // end detachRightSubtree
} // end BinaryTree
package huffman;
public class TreeNode {
private Object item;
private TreeNode leftChild;
private TreeNode rightChild;
public TreeNode(Object newItem) {
// Initializes tree node with item and no children.
item = newItem;
leftChild = null;
rightChild = null;
} // end constructor
public TreeNode(Object newItem,
TreeNode left, TreeNode right) {
// Initializes tree node with item and
// the left and right children references.
item = newItem;
leftChild = left;
rightChild = right;
} // end constructor
public Object getItem() {
// Returns the item field.
return item;
} // end getItem
public void setItem(Object newItem) {
// Sets the item field to the new value newItem.
item = newItem;
} // end setItem
public TreeNode getLeft() {
// Returns the reference to the left child.
return leftChild;
} // end getLeft
public void setLeft(TreeNode left) {
// Sets the left child reference to left.
leftChild = left;
} // end setLeft
public TreeNode getRight() {
// Returns the reference to the right child.
return rightChild;
} // end getRight
public void setRight(TreeNode right) {
// Sets the right child reference to right.
rightChild = right;
} // end setRight
public String toString() {
return "" + item;
}
public boolean isLeaf() {
return ((getLeft() == null) && (getRight() == null));
}
} // end TreeNode
2.逐比特读写的方法
package huffman; import java.io.*;
/**
* This class is designed to read in bits from a file that is stored in the same format
* as specified by the BitWriter
* It is based on the iterator model, with similar names. It has different return types though.
* @author Shane Paul
* 7/10/2003
* @
*/
public class BitReader { //The inputStream
FileInputStream input;
//Stores the next 3 bytes in the file, to check for EOF and deal with the last byte being potentially half full
int current, plus1, plus2;
//The number of bits that have been read so far in the current byte
int count;
//Have we reached the end of the file? If so, count must be ==0 also before we are finally done
boolean finished; /**
* Construct a new BitReader from a file.
*/
public BitReader(String file) throws Exception{
this(new File(file));
}
public BitReader(File file) throws Exception{
file.createNewFile();
if(!file.canRead())
throw new IOException("Oh My!! This file cannot be read from.....whatever shall I do? \nfile: "+file);
input = new FileInputStream(file);
//Read in the first two bytes. This assumes that the list contains at least one bit and therefore two bytes...
plus1 = input.read();
plus2 = input.read();
}
/**
* Returns the next available bit in the file
* @return the next boolean in the file
*/
public boolean next()throws Exception{
if(!hasNext())
throw new NoBitsLeftToReturn();
//Get the next bit
if(count==0){ //We have no more bits in this particular byte
//Get the next byte from the file
current=plus1;
plus1=plus2;
plus2 = input.read(); //-1 is returned if we reach the EOF
count=8;
if(plus2<0){
finished = true;
count = 8-plus1; //only need to read the leftover bits
}
}
count--;
//get the leftmost bit and shift to right most
int bit = current&0x80;
bit = bit>>7;
//shift current to left for one bit
current = current<<1;
if(bit==0)
return false;
return true;
}
/**
* returns whether or not there are any bits left to read.
*/
public boolean hasNext(){
return !(finished && count==0);
}
/**
* Thiis an informative exception that is thrown when you forget to check hasNext()
* @author Shane Paul
* 7/10/2003
* @
*/
public class NoBitsLeftToReturn extends Exception{}
/**
* Testing
* @param args
*/
public static void main(String[] args) throws Exception{
BitReader br = new BitReader("writetest.txt");
while(br.hasNext()){
if(br.next())
System.out.println("1");
else
System.out.println("0");
}
}
}
package huffman; import java.io.*;
/**
* A simple class that allows a user to write a stream of bits to a file.
* You should make sure you .flush() the BitWriter when you have finished writing.
* Otherwise there will be bits and pieces left in the writer. :)
* Once you HAVE flushed this writer, you can no longer write bits to it.
* This is because it would make the algorithm a little more difficult and I am lazy. (it is
* also not needed)
*
* For those that are interested:
* The bots are stored in sections of bytes. The last byte in the file stores
* the number of bits in the last byte that were filled in to make up a whole byte.
*
*
* @author Shane Paul
* 7/10/2003
* @
*/
public class BitWriter {
//For writing to a file
FileOutputStream output;
//Stores 8 bits, before writing them to the FileWriter
int buffer;
//Count the number of bits
int count;
//Whether or not this Writer has been closed yet
boolean closed = false;
/**
* Constuct a BitWriter using a String filename. The file will be overwritten.
* @param filename The name of the file.
* @exception IOException is thrown if the file does not exist or is not writable
*/
public BitWriter(String filename) throws IOException{
this(new File(filename)); //uses "this" to call the file constructor
}
/**
* Construct a BitWriter using a File.
* @param file The name of the file.
* @exception IOException is thrown if the file does not exist or is not writable
*/
public BitWriter(File file) throws IOException{
//Test to see file is actually a file and can have data written to it
file.createNewFile();
if(!file.canWrite())
throw new IOException("Oh My!! This file cannot be written to.....whatever shall I do? \nfile: "+file);
output = new FileOutputStream(file);
}
/**
* Writes a single bit to a file. The bit is defined by the boolean it receives
* @param bit TRUE = 1, FALSE = 0
* @exception IOException Throws an IOException if there were any problems writing to this file
*/
public void writeBit(boolean bit)throws Exception{
//Add in the specified bit by using the other method
if(bit)
writeBit(1);
else
writeBit(0);
}
/**
* Flushes the buffer and closes this writer for good. The writer will accept no further bits after this method
* has been called. You cannot "flush" this buffer because you cannot write single bits to the file.
* Once you have "flushed" this buffer, it is then closed for good. (see class descrip. for why)
*/
public void close()throws Exception{
if(closed)
throw new BitWriterClosedAlreadyException();
output.flush();
if(count!=0){
int leftOverBits = 8-count;
buffer = buffer<<leftOverBits;
output.write(buffer);
output.write(leftOverBits);
}
else
output.write(0); //no extra bits
output.close();
closed = true;
}
/**
* Another method that writes a single bit to a file.
* This time it takes in an integer (or you could just pass a byte and it will be upcast)
* only values 0 and 1 are acceptable.
* <b>You need not do anything special with these exceptions, they are simply to inform you of the type
* of error you have so you can debuig easier.</b>
* If you try passing it another value, it will throw an exception. (to help debugging)
* @param bit
* @exception IOException Throws an IOException if there were any problems writing to this file
* @exception InvalidBitException An exception I made up to indicate that you are not using this method correctly..
*/
public void writeBit(int bit)throws Exception{
//can't write to a closed bitwriter
if(closed)
throw new BitWriterClosedAlreadyException();
if(bit <0 || bit>1)
throw new InvalidBitException();
count++;
buffer=(buffer<<1);
//Add in the specified bit
if(bit==1)
buffer|=1;
//empty the buffer and reset the count
if(count==8){
output.write(buffer);
count = 0;buffer = 0;
}
}
/**
* This is a simple Exception class that is thrown when you attempt to incorrectly call the writeBit method.
* You do not need to do anything with this exception, they are just to make debugging easier
* @author Shane Paul
* 7/10/2003
* @
*/
public class InvalidBitException extends Exception{ }
/**
* This is an exception to inform you that you are trying to write to a bitwriter that has already been closed.
* @author Shane Paul
* 7/10/2003
* @
*/
public class BitWriterClosedAlreadyException extends Exception{ } /**
* Testing...and an example of how to use this class.
* @param args
*/
public static void main(String[] args) throws Exception{
BitWriter bw = new BitWriter("writetest.txt");
for(int j=0;j<12;j++){
int num=(int)(Math.random()*30);
if (num % 2 == 0) {
System.out.println("0");
bw.writeBit(0);
}
else {
System.out.println("1");
bw.writeBit(1);
}
}
bw.close();
}
}
3.CharFreq，字母以及出现频率的数据结构
package huffman;
// This class represents an object which stores a single character and an integer frequency
public class CharFreq implements Comparable {
private char c;
private int freq;
public CharFreq(char c, int freq) {
this.c = c;
this.freq = freq;
}
public char getChar() {
return c;
}
public int getFreq() {
return freq;
}
public int compareTo(Object o) {
return freq - ((CharFreq)o).freq;
}
public String toString() {
return "(" + c + ":" + freq + ")";
}
}
4.TreeException
package huffman;
public class TreeException extends RuntimeException {
public TreeException(String s) {
super(s);
} // end constructor
} // end TreeException
5.压缩与解压缩的测试代码
package huffman; import java.io.*;
import java.lang.reflect.Array;
import java.util.*; public class TextZip { private static final String ID = "201692388"; /**
* This method generates the huffman tree for the text: "abracadabra!"
*
* @return the root of the huffman tree
*/ public static TreeNode abracadbraTree() {
TreeNode n0 = new TreeNode(new CharFreq('!', 1));
TreeNode n1 = new TreeNode(new CharFreq('c', 1));
TreeNode n2 = new TreeNode(new CharFreq('\u0000', 2), n0, n1);
TreeNode n3 = new TreeNode(new CharFreq('r', 2));
TreeNode n4 = new TreeNode(new CharFreq('\u0000', 4), n3, n2);
TreeNode n5 = new TreeNode(new CharFreq('d', 1));
TreeNode n6 = new TreeNode(new CharFreq('b', 2));
TreeNode n7 = new TreeNode(new CharFreq('\u0000', 3), n5, n6);
TreeNode n8 = new TreeNode(new CharFreq('\u0000', 7), n7, n4);
TreeNode n9 = new TreeNode(new CharFreq('a', 5));
TreeNode n10 = new TreeNode(new CharFreq('\u0000', 12), n9, n8);
return n10;
} /**
* This method decompresses a huffman compressed text file. The compressed
* file must be read one bit at a time using the supplied BitReader, and
* then by traversing the supplied huffman tree, each sequence of compressed
* bits should be converted to their corresponding characters. The
* decompressed characters should be written to the FileWriter
*
* @param br the BitReader which reads one bit at a time from the
* compressed file
* huffman the huffman tree that was used for compression, and
* hence should be used for decompression
* fw a FileWriter for storing the decompressed text file
*/
public static void decompress(BitReader br, TreeNode huffman, FileWriter fw) throws Exception { // IMPLEMENT THIS METHOD
TreeNode scaner = huffman;
while(br.hasNext()){ for(;!scaner.isLeaf() && br.hasNext();){
if(br.next())
scaner = scaner.getRight();
else
scaner = scaner.getLeft();
}
CharFreq item = (CharFreq)(scaner.getItem());
fw.write(item.getChar());
scaner = huffman;
} } /**
* This method traverses the supplied huffman tree and prints out the
* codes associated with each character
*
* @param t the root of the huffman tree to be traversed
* code a String used to build the code for each character as
* the tree is traversed recursively
*/
static Map<Character,String> table = new Hashtable<>(); public static void traverse(TreeNode t, String code) { // IMPLEMENT THIS METHOD
if(!t.isLeaf()){
traverse(t.getLeft(), code + '0');
traverse(t.getRight(),code + '1');
}
else {
CharFreq item = (CharFreq) (t.getItem());
table.put(item.getChar(), code);
System.out.println(item.getChar() +": "+ code);
}
} // public static Map<Character, String> traverse(TreeNode t) {
//
// Map<Character,String> table = new Hashtable<>();
//
// // IMPLEMENT THIS METHOD
// if(!t.isLeaf()){
// traverse(t.getLeft());
// traverse(t.getRight());
// }
// else {
// CharFreq item = (CharFreq) (t.getItem());
// System.out.println(item.getChar()+": " + "code");
// }
// }
/**
* This method removes the TreeNode, from an ArrayList of TreeNodes, which
* contains the smallest item. The items stored in each TreeNode must
* implement the Comparable interface.
* The ArrayList must contain at least one element.
*
* @param a an ArrayList containing TreeNode objects
*
* @return the TreeNode in the ArrayList which contains the smallest item.
* This TreeNode is removed from the ArrayList.
*/
public static TreeNode removeMin(ArrayList a) {
int minIndex = 0;
for (int i = 0; i < a.size(); i++) {
TreeNode ti = (TreeNode)(a.get(i));
TreeNode tmin = (TreeNode)(a.get(minIndex));
if (((Comparable)(ti.getItem())).compareTo(tmin.getItem()) < 0)
minIndex = i;
}
TreeNode n = (TreeNode)a.remove(minIndex);
return n;
} /**
* This method counts the frequencies of each character in the supplied
* FileReader, and produces an output text file which lists (on each line)
* each character followed by the frequency count of that character. This
* method also returns an ArrayList which contains TreeNodes. The item stored
* in each TreeNode in the returned ArrayList is a CharFreq object, which
* stores a character and its corresponding frequency
*
* @param fr the FileReader for which the character frequencies are being
* counted
* pw the PrintWriter which is used to produce the output text file
* listing the character frequencies
*
* @return the ArrayList containing TreeNodes. The item stored in each
* TreeNode is a CharFreq object.
*/
public static ArrayList countFrequencies(FileReader fr, PrintWriter pw) throws Exception { // IMPLEMENT THIS METHOD
int c;
ArrayList<TreeNode> list = new ArrayList<>(); while ((c = fr.read()) != -1) { if(list.isEmpty()) {
list.add(new TreeNode(new CharFreq((char) c, 1)));
continue;
}
int i;
for( i=0; i<list.size(); i++){
TreeNode temp = list.get(i);
CharFreq item = (CharFreq) (temp.getItem());
if((char)c == item.getChar())
list.set(i, new TreeNode(new CharFreq((char)c, item.getFreq() + 1)));
} if(i >=list.size())
list.add(new TreeNode(new CharFreq((char)c, 1)));
} for(int i = 0; i < list.size(); i++){
CharFreq temp = (CharFreq)(list.get(i).getItem());
pw.print(temp);
} return list;
} /**
* This method builds a huffman tree from the supplied ArrayList of TreeNodes.
* Initially, the items in each TreeNode in the ArrayList store a CharFreq object.
* As the tree is built, the smallest two items in the ArrayList are removed,
* merged to form a tree with a CharFreq object storing the sum of the frequencies
* as the root, and the two original CharFreq objects as the children. The right
* child must be the second of the two elements removed from the ArrayList (where
* the ArrayList is scanned from left to right when the minimum element is found).
* When the ArrayList contains just one element, this will be the root of the
* completed huffman tree.
*
* @param trees the ArrayList containing the TreeNodes used in the algorithm
* for generating the huffman tree
*
* @return the TreeNode referring to the root of the completed huffman tree
*/
public static TreeNode buildTree(ArrayList trees) throws IOException { // IMPLEMENT THIS METHOD
while(trees.size() > 1){
TreeNode rleft = removeMin(trees);
TreeNode rright = removeMin(trees);
CharFreq item = new CharFreq('\u0000',((CharFreq)rleft.getItem()).getFreq() +
((CharFreq)rright.getItem()).getFreq() );
TreeNode root = new TreeNode( item, rleft, rright);
trees.add( root );
}
return (TreeNode)trees.get(0);
} /**
* This method compresses a text file using huffman encoding. Initially, the
* supplied huffman tree is traversed to generate a lookup table of codes for
* each character. The text file is then read one character at a time, and
* each character is encoded by using the lookup table. The encoded bits for
* each character are written one at a time to the specified BitWriter.
*
* @param fr the FileReader which contains the text file to be encoded
* huffman the huffman tree that was used for compression, and
* hence should be used for decompression
* bw the BitWriter used to write the compressed bits to file
*/
public static void compress(FileReader fr, TreeNode huffman, BitWriter bw) throws Exception { // IMPLEMENT THIS METHOD
traverse(huffman,""); int c;
while((c = fr.read()) != -1){ char c1 = (char) c;
String code = table.get(c);
char[] arrayCodes = code.toCharArray(); for(int i = 0; i < arrayCodes.length; i++){
if(arrayCodes[i] == '0')
bw.writeBit(false);
if(arrayCodes[i] == '1')
bw.writeBit(true);
}
} } /**
* This method reads a frequency file (such as those generated by the
* countFrequencies() method) and initialises an ArrayList of TreeNodes
* where the item of each TreeNode is a CharFreq object storing a character
* from the frequency file and its corresponding frequency. This method provides
* the same functionality as the countFrequencies() method, but takes in a
* frequency file as parameter rather than a text file.
*
* @param inputFreqFile the frequency file which stores characters and their
* frequency (one character per line)
*
* @return the ArrayList containing TreeNodes. The item stored in each
* TreeNode is a CharFreq object.
*/
public static ArrayList readFrequencies(String inputFreqFile) throws Exception { // IMPLEMENT THIS METHOD
FileInputStream fis = new FileInputStream(inputFreqFile);
InputStreamReader isr = new InputStreamReader(fis,"utf-8");
BufferedReader br = new BufferedReader(isr); ArrayList<TreeNode> list = new ArrayList<>(); String s;
while((s = br.readLine()) != null){
String[] ss = s.split(" ");
TreeNode t = new TreeNode(new CharFreq(ss[0].charAt(0), Integer.parseInt(ss[1])));
list.add(t);
} return list;
} /* This TextZip application should support the following command line flags: QUESTION 2 PART 1
=================
-a : this uses a default prefix code tree and its compressed
file, "a.txz", and decompresses the file, storing the output
in the text file, "a.txt". It should also print out the size
of the compressed file (in bytes), the size of the decompressed
file (in bytes) and the compression ratio QUESTION 2 PART 2
=================
-f : given a text file (args[1]) and the name of an output frequency file
(args[2]) this should count the character frequencies in the text file
and store these in the frequency file (with one character and its
frequency per line). It should then build the huffman tree based on
the character frequencies, and then print out the prefix code for each
character QUESTION 2 PART 3
=================
-c : given a text file (args[1]) and the name of an output frequency file
(args[2]) and the name of the output compressed file (args[3]), this
should compress file QUESTION 2 PART 4
=================
-d : given a compressed file (args[1]) and its corresponding frequency file
(args[2]) and the name of the output decompressed text file (args[3]),
this should decompress the file */ public static void main(String[] args) throws Exception { if (args[0].equals("-a")) {
BitReader br = new BitReader("a.txz");
FileWriter fw = new FileWriter("a.txt"); // Get the default prefix code tree
TreeNode tn = abracadbraTree(); // Decompress the default file "a.txz"
decompress(br, tn, fw); // Close the ouput file
fw.close();
// Output the compression ratio
// Write your own implementation here. } else if (args[0].equals("-f")) {
FileReader fr = new FileReader(args[1]);
PrintWriter pw = new PrintWriter(new FileWriter(args[2])); // Calculate the frequencies
ArrayList trees = countFrequencies(fr, pw); // Close the files
fr.close();
pw.close(); // Build the huffman tree
TreeNode n = buildTree(trees); // Display the codes
traverse(n, "");
} else if (args[0].equals("-c")) { FileReader fr = new FileReader(args[1]);
PrintWriter pw = new PrintWriter(new FileWriter(args[2]));
ArrayList trees = countFrequencies(fr, pw); fr.close();
pw.close(); TreeNode n = buildTree(trees); // IMPLEMENT NEXT
// Finish the compress function here // then output the compression ratio
// Write your own implementation here. } else if (args[0].equals("-d")) {
ArrayList a = readFrequencies(args[2]);
TreeNode tn = buildTree(a);
BitReader br = new BitReader(args[1]);
FileWriter fw = new FileWriter(args[3]);
decompress(br, tn, fw);
fw.close(); // Output the compression ratio
// Write your own implementation here. }
}
}