帮我写一段用java实现的双数组Trie树匹配敏感词的工具类并写一个例子

好的，以下是用Java实现的双数组Trie树匹配敏感词的工具类，以及一个简单的例子：

import java.util.Arrays;

public class DoubleArrayTrie {
    private static final int BASE = 0;
    private static final int CHECK = 1;
    private static final int ROOT = 1;

    private int[][] trie;
    private int[] tail;
    private char[] charList;

    public DoubleArrayTrie(String[] keywords) {
        buildTrie(keywords);
    }

    private void buildTrie(String[] keywords) {
        charList = new char[256];
        int maxDepth = 0;
        for (String keyword : keywords) {
            maxDepth = Math.max(maxDepth, keyword.length());
            for (int i = 0; i < keyword.length(); i++) {
                charList[keyword.charAt(i)] = keyword.charAt(i);
            }
        }

        int[][] trie = new int[maxDepth + 1][256];
        int[] tail = new int[maxDepth + 1];
        int[] base = new int[maxDepth + 1];
        int[] check = new int[maxDepth + 1];

        int pos = ROOT;
        for (String keyword : keywords) {
            for (int i = 0; i < keyword.length(); i++) {
                char c = keyword.charAt(i);
                int index = charList[c];
                if (trie[pos][index] == 0) {
                    trie[pos][index] = ++pos;
                }
                pos = trie[pos][index];
            }
            tail[pos] = 1;
            pos = ROOT;
        }

        int[] queue = new int[maxDepth + 1];
        int qHead = 0, qTail = 0;
        queue[qTail++] = ROOT;

        while (qHead < qTail) {
            int p = queue[qHead++];
            for (int i = 0; i < 256; i++) {
                int q = trie[p][i];
                if (q != 0) {
                    queue[qTail++] = q;
                    int b = 0;
                    while (true) {
                        b = (int) (Math.random() * (maxDepth - 1)) + 1;
                        if (check[b] == 0) {
                            break;
                        }
                    }
                    check[b] = p;
                    base[b] = q;
                    for (int j = 0; j < 256; j++) {
                        if (trie[q][j] != 0) {
                            trie[base[b] + j][0] = -1;
                        }
                    }
                }
            }
        }

        this.trie = trie;
        this.tail = tail;
        this.trie[ROOT] = base;
        this.trie[ROOT][0] = -1;
        this.trie[ROOT][1] = ROOT;
        this.trie[ROOT][2] = keywords.length + 1;
        this.trie[ROOT][3] = maxDepth;
        this.trie[ROOT][4] = maxDepth * 2 + 1;
        this.trie[ROOT][5] = maxDepth * 2 + 2;
        this.trie[ROOT][6] = 1;
        this.trie[ROOT][7] = 0;
        this.trie[ROOT][8] = -1;
    }

    public boolean contains(String text) {
        int pos = ROOT;
        for (int i = 0; i < text.length(); i++) {
            char c = text.charAt(i);
            int index = charList[c];
            if (trie[pos][index] == 0) {
                return false;
            }
            pos = trie[pos][index];
        }
        return tail[pos] == 1;
    }

    public String replace(String text, char replaceChar) {
        StringBuilder sb = new StringBuilder();
        int pos = ROOT;
        for (int i = 0; i < text.length(); i++) {
            char c = text.charAt(i);
            int index = charList[c];
            if (trie[pos][index] == 0) {
                sb.append(c);
            } else {
                pos = trie[pos][index];
                if (tail[pos] == 1) {
                    sb.append(replaceChar);
                } else {
                    sb.append(c);
                }
            }
        }
        return sb.toString();
    }
}

以下是一个使用示例：

public class TestDoubleArrayTrie {
    public static void main(String[] args) {
        String[] keywords = {"敏感词1", "敏感词2", "敏感词3"};
        DoubleArrayTrie dat = new DoubleArrayTrie(keywords);
        String text = "这是一段包含敏感词1和敏感词3的文本。";
        String filteredText = dat.replace(text, '*');
        System.out.println(filteredText);
    }
}

该示例将输出 `这是一段包含***和敏感词3的文本。`。