后缀Trie匹配，匹配操作有问题

Question

我遇到了一个后缀Trie匹配的问题，我设计了一个后缀trie，它有一个26路树来表示节点中的字符加上与每个节点关联的值。每个节点的值表示字符串（如果它是后缀）在主字符串中开始的索引，否则表示 -1。此后，我试图让匹配操作正常工作，但显然它没有，而且我无法在此处找出错误。如需更多说明，请参阅 Second Question in this Pdf。请帮忙。

import java.util.*;

class node{
    public int val;
    public node ptrs[];
    node(){
        this.val =0;
        ptrs = new node[26];
        for (node ptr : ptrs) {
            ptr = null;
        }
    }    
}
class Tree{
    public node root = new node();
    int pass =0;
    void insert(String s,int indx) {
        node trv = root;
        for (int i = 0; i < s.length(); i++) {
            if (trv.ptrs[s.charAt(i) - 'A'] == null) {
                trv.ptrs[s.charAt(i) - 'A'] = new node();
                if(i==s.length()-1){
                    trv.ptrs[s.charAt(i)-'A'].val = indx;
                }else{
                    trv.ptrs[s.charAt(i)-'A'].val = -1;
                }
            }
            trv = trv.ptrs[s.charAt(i) - 'A'];
        }
    }
    
    private void visit(node trv){
        for(int i =0;i<26;i++){
            if(trv.ptrs[i]!=null){
                System.out.println(trv.ptrs[i].val+":"+((char)(i+'A')));
                visit(trv.ptrs[i]);
            }
        }
    }

    void visit(){
        this.visit(root);
    }
    void leaf(node trv){
        if(trv.val>=0){
            System.out.println(trv.val);
        }else{
            for(int i=0;i<26;i++){
                if(trv.ptrs[i]!=null){
                    if(trv.ptrs[i].val>=0){
                        System.out.println(trv.ptrs[i].val);
                    }else{
                        leaf(trv.ptrs[i]);
                    }
                }
            }
        }
    }
    private void search(node trv,String s,int i){
        if(i<=s.length()-1){
            if(trv.ptrs[s.charAt(i)-'A']!=null){
                if(i==s.length()-1){
                    leaf(trv.ptrs[s.charAt(i)-'A']);
                }else{
                    search(trv.ptrs[s.charAt(i)-'A'], s, i+1);
                }
            }
        }
    }
    void query(String s){
        this.search(root, s, 0);
    }
}
public class Trie {
    public static void main(String[] args) {
        Scanner sc = new Scanner(System.in);
        Tree t = new Tree();
        String txt = sc.next();
        int txtLen = txt.length();
        for(int i =0;i<txtLen;i++){
            t.insert(txt.substring(i,txtLen),i);
        }
        int q = sc.nextInt();
        while(q-->0){
           String m = sc.next();
           t.query(m);
        }
        sc.close();
    }
}

预计：

Input:
AATCGGGTTCAATCGGGGT
2
ATCG
GGGT
Output:
1 4 11 15

我的输出：

AATCGGGTTCAATCGGGGT
2
ATCG
11
1
GGGT
4

如您所见，我没有得到 15 作为答案。

Answer 1

我尝试调查您的程序，但您的程序不是 well-written，很遗憾，我找不到您的问题。我尝试通过 visit 打印它，但没有有用的信息。

但是以下尝试通过 Fast Pattern Matching of Strings Using Suffix Tree 中描述的后缀树来查找模式。可能有帮助：

import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

class Node {
    private String text;
    private List<Node> children;
    private int position;

    public Node(String word, int position) {
        this.text = word;
        this.position = position;
        this.children = new ArrayList<>();
    }

    public String getText() {
        return text;
    }

    public void setText(String text) {
        this.text = text;
    }

    public int getPosition() {
        return position;
    }

    public void setPosition(int position) {
        this.position = position;
    }

    public List<Node> getChildren() {
        return children;
    }

    public void setChildren(List<Node> children) {
        this.children = children;
    }

    public String printTree(String depthIndicator) {
        String str = "";
        String positionStr = position > -1 ? "[" + String.valueOf(position) + "]" : "";
        str += depthIndicator + text + positionStr + "\n";

        for (int i = 0; i < children.size(); i++) {
            str += children.get(i)
                    .printTree(depthIndicator + "\t");
        }
        return str;
    }

    @Override
    public String toString() {
        return printTree("");
    }
}

public class SuffixTree {
    private static final Logger LOGGER = LoggerFactory.getLogger(SuffixTree.class);
    private static final String WORD_TERMINATION = "$";
    private static final int POSITION_UNDEFINED = -1;
    private Node root;
    private String fullText;

    public SuffixTree(String text) {
        root = new Node("", POSITION_UNDEFINED);
        for (int i = 0; i < text.length(); i++) {
            addSuffix(text.substring(i) + WORD_TERMINATION, i);
        }
        fullText = text;
    }

    public List<String> searchText(String pattern) {
        LOGGER.info("Searching for pattern \"{}\"", pattern);
        List<String> result = new ArrayList<>();
        List<Node> nodes = getAllNodesInTraversePath(pattern, root, false);

        if (nodes.size() > 0) {
            Node lastNode = nodes.get(nodes.size() - 1);
            if (lastNode != null) {
                List<Integer> positions = getPositions(lastNode);
                positions = positions.stream()
                        .sorted()
                        .collect(Collectors.toList());
                positions.forEach(m -> result.add((markPatternInText(m, pattern))));
            }
        }
        return result;
    }

    private void addSuffix(String suffix, int position) {
        LOGGER.info(">>>>>>>>>>>> Adding new suffix {}", suffix);
        List<Node> nodes = getAllNodesInTraversePath(suffix, root, true);
        if (nodes.size() == 0) {
            addChildNode(root, suffix, position);
            LOGGER.info("{}", printTree());
        } else {
            Node lastNode = nodes.remove(nodes.size() - 1);
            String newText = suffix;
            if (nodes.size() > 0) {
                String existingSuffixUptoLastNode = nodes.stream()
                        .map(a -> a.getText())
                        .reduce("", String::concat);

                // Remove prefix from newText already included in parent
                newText = newText.substring(existingSuffixUptoLastNode.length());
            }
            extendNode(lastNode, newText, position);
            LOGGER.info("{}", printTree());
        }
    }

    private List<Integer> getPositions(Node node) {
        List<Integer> positions = new ArrayList<>();
        if (node.getText()
                .endsWith(WORD_TERMINATION)) {
            positions.add(node.getPosition());
        }
        for (int i = 0; i < node.getChildren()
                .size(); i++) {
            positions.addAll(getPositions(node.getChildren()
                    .get(i)));
        }
        return positions;
    }

    private String markPatternInText(Integer startPosition, String pattern) {
        String matchingTextLHS = fullText.substring(0, startPosition);
        String matchingText = fullText.substring(startPosition, startPosition + pattern.length());
        String matchingTextRHS = fullText.substring(startPosition + pattern.length());
        return matchingTextLHS + "[" + matchingText + "]" + matchingTextRHS;
    }

    private void addChildNode(Node parentNode, String text, int position) {
        parentNode.getChildren()
                .add(new Node(text, position));
    }

    private void extendNode(Node node, String newText, int position) {
        String currentText = node.getText();
        String commonPrefix = getLongestCommonPrefix(currentText, newText);

        if (commonPrefix != currentText) {
            String parentText = currentText.substring(0, commonPrefix.length());
            String childText = currentText.substring(commonPrefix.length());
            splitNodeToParentAndChild(node, parentText, childText);
        }

        String remainingText = newText.substring(commonPrefix.length());
        addChildNode(node, remainingText, position);
    }

    private void splitNodeToParentAndChild(Node parentNode, String parentNewText, String childNewText) {
        Node childNode = new Node(childNewText, parentNode.getPosition());

        if (parentNode.getChildren()
                .size() > 0) {
            while (parentNode.getChildren()
                    .size() > 0) {
                childNode.getChildren()
                        .add(parentNode.getChildren()
                                .remove(0));
            }
        }

        parentNode.getChildren()
                .add(childNode);
        parentNode.setText(parentNewText);
        parentNode.setPosition(POSITION_UNDEFINED);
    }

    private String getLongestCommonPrefix(String str1, String str2) {
        int compareLength = Math.min(str1.length(), str2.length());
        for (int i = 0; i < compareLength; i++) {
            if (str1.charAt(i) != str2.charAt(i)) {
                return str1.substring(0, i);
            }
        }
        return str1.substring(0, compareLength);
    }

    private List<Node> getAllNodesInTraversePath(String pattern, Node startNode, boolean isAllowPartialMatch) {
        List<Node> nodes = new ArrayList<>();
        for (int i = 0; i < startNode.getChildren()
                .size(); i++) {
            Node currentNode = startNode.getChildren()
                    .get(i);
            String nodeText = currentNode.getText();
            if (pattern.charAt(0) == nodeText.charAt(0)) {
                if (isAllowPartialMatch && pattern.length() <= nodeText.length()) {
                    nodes.add(currentNode);
                    return nodes;
                }

                int compareLength = Math.min(nodeText.length(), pattern.length());
                for (int j = 1; j < compareLength; j++) {
                    if (pattern.charAt(j) != nodeText.charAt(j)) {
                        if (isAllowPartialMatch) {
                            nodes.add(currentNode);
                        }
                        return nodes;
                    }
                }

                nodes.add(currentNode);
                if (pattern.length() > compareLength) {
                    List<Node> nodes2 = getAllNodesInTraversePath(pattern.substring(compareLength), currentNode, isAllowPartialMatch);
                    if (nodes2.size() > 0) {
                        nodes.addAll(nodes2);
                    } else if (!isAllowPartialMatch) {
                        nodes.add(null);
                    }
                }
                return nodes;
            }
        }
        return nodes;
    }

    public String printTree() {
        return root.printTree("");
    }

    public static void main(String[] args) {
        SuffixTree suffixTree = new SuffixTree("AATCGGGTTCAATCGGGGT");
        List<String> matches = suffixTree.searchText("ATCG");
        matches.stream().forEach(m -> { System.out.println(m);});
        List<String> matches2 = suffixTree.searchText("GGGT");
        matches2.stream().forEach(m -> { System.out.println(m);});
    }
}

后缀Trie匹配，匹配操作有问题

Suffix Trie matching, problem with matching operation

java

string

trie

suffix-tree