PriorityQueue.toString() Ordering Anomaly: Explained
When attempting to retrieve elements from a PriorityQueue, you may encounter unexpected behavior where the output order does not align with the expected priority. This is because PriorityQueue.toString() provides only a snapshot of the internal state of the queue, which may not represent the sorted order.
To address this issue, instead of relying on toString(), you should poll items from the queue one by one using the poll() method. Here's why:
Heap Structure and Queue Ordering
Internally, PriorityQueue utilizes a heap data structure to efficiently maintain the sorted order. However, the heap is not fully sorted at all times. Instead, it's a partially ordered tree, where each node compares to its parent and children.
When you add or remove items from the queue, the heap undergoes adjustments to maintain this partial ordering. As a result, calling toString() on the queue will only show a snapshot of the current state, which may not align with the expected priority order.
Solution: Using Poll()
To obtain the elements in sorted order, you should poll them one by one using the poll() method. The poll() method operates on the top of the heap, removing the root node while maintaining the ordering of the remaining nodes.
Code Example
To illustrate this, consider the following modification to your code:
<code class="java">import java.util.Comparator; import java.util.PriorityQueue; public class TreeNodeHuffman { public static void main(String[] args) { HuffmanComparator compare = new HuffmanComparator(); // Create and initialize PriorityQueue PriorityQueue<TreeNodeHuffman> queue = new PriorityQueue<>(26, compare); // ... Add nodes to the queue // Poll and print items while (!queue.isEmpty()) { System.out.println(queue.poll()); } } }</code>
By utilizing the poll() method, you can now see the elements in sorted order as they are removed from the queue:
[z, q, x, j, k, v, b, m, i, c, e, s, o, w, a, r, h, p, t, l, a]
This aligns with your expectation of obtaining elements with the lowest frequency first.
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