它基本上只是霍夫曼编码算法的一种实现,但是当我检查BinaryTree结束(队列中剩下的唯一项目)的概率很高时。
// Make a BinaryTree for each item in CharOccurrences and add as an entry in initialQueue
for (int i = 0; i < charOccurrences.size(); i++) {
BinaryTree<CharProfile> bTree = new BinaryTree<CharProfile>();
bTree.makeRoot(charOccurrences.get(i));
initialQueue.add(bTree);
}
// Create the BinaryTree that we're adding to the resultQueue
BinaryTree<CharProfile> treeMerge = new BinaryTree<CharProfile>();
// Create the CharProfile that will hold the probability of the two merged trees
CharProfile data;
while (!initialQueue.isEmpty()) {
// Check if the resultQueue is empty, in which case we only need to look at initialQueue
if (resultQueue.isEmpty()) {
treeMerge.setLeft(initialQueue.remove());
treeMerge.setRight(initialQueue.remove());
// Set treeMerge's data to be the sum of its two child trees' probabilities with a null char value
data = new CharProfile('\0');
data.setProbability(treeMerge.getLeft().getData().getProbability() + treeMerge.getRight().getData().getProbability());
treeMerge.setData(data);
}
else {
// Set the left part of treeMerge to the lowest of the front of the two queues
if (initialQueue.peek().getData().getProbability() <= resultQueue.peek().getData().getProbability()) {
treeMerge.setLeft(initialQueue.remove());
}
else {
treeMerge.setLeft(resultQueue.remove());
}
if (!initialQueue.isEmpty()) {
// Set the right part of treeMerge to the lowest of the front of the two queues
if (initialQueue.peek().getData().getProbability() <= resultQueue.peek().getData().getProbability()) {
treeMerge.setRight(initialQueue.remove());
}
else {
treeMerge.setRight(resultQueue.remove());
}
}
// In the case that initialQueue is now empty (as a result of just dequeuing the last element), simply make the right tree resultQueue's head
else {
treeMerge.setRight(resultQueue.remove());
}
// Set treeMerge's data to be the sum of its two child trees' probabilities with a null char value
data = new CharProfile('\0');
data.setProbability(treeMerge.getLeft().getData().getProbability() + treeMerge.getRight().getData().getProbability());
treeMerge.setData(data);
}
// Add the new tree we create to the resultQueue
resultQueue.add(treeMerge);
}
if (resultQueue.size() > 1) {
while (resultQueue.size() != 1) {
treeMerge.setLeft(resultQueue.remove());
treeMerge.setRight(resultQueue.remove());
data = new CharProfile('\0');
data.setProbability(treeMerge.getLeft().getData().getProbability() + treeMerge.getRight().getData().getProbability());
treeMerge.setData(data);
resultQueue.add(treeMerge);
}
}
然后,我在结尾处有这个:
System.out.println("\nProbability of end tree: "
+ resultQueue.peek().getData().getProbability());
这给了我:
结束树的概率:42728.31718061674
参考方案
在while循环内移动以下行:
// Create the BinaryTree that we're adding to the resultQueue
BinaryTree<CharProfile> treeMerge = new BinaryTree<CharProfile>();
否则,一个迭代将treeMerge
添加到resultQueue
,而下一个迭代可能执行treeMerge.setLeft(resultQueue.remove());
,这使得treeMerge
成为其自身的子代...
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