例如:

import java.util.ArrayList;
import java.util.List;



/**
 * 
 * @author X2
 *
 * @param <T>
 */
public class HisTree<T> 
{
    private Node<T> root;

    public HisTree(T rootData) 
    {
        root = new Node<T>();
        root.setData(rootData);
        root.setChildren(new ArrayList<Node<T>>());
    }

}

class Node<T> 
{

    private T data;
    private Node<T> parent;
    private List<Node<T>> children;

    public T getData() {
        return data;
    }
    public void setData(T data) {
        this.data = data;
    }
    public Node<T> getParent() {
        return parent;
    }
    public void setParent(Node<T> parent) {
        this.parent = parent;
    }
    public List<Node<T>> getChildren() {
        return children;
    }
    public void setChildren(List<Node<T>> children) {
        this.children = children;
    }
}

您可以在java.util.*中使用TreeSet类。它像二叉搜索树一样工作，所以它已经排好序了。TreeSet类实现了Iterable、Collection和Set接口。您可以像使用set一样使用迭代器遍历树。

TreeSet<String> treeSet = new TreeSet<String>();
Iterator<String> it  = treeSet.Iterator();
while(it.hasNext()){
...
}

你可以检查，Java文档和其他的。

我写了一个基于“HashMap”的小“TreeMap”类，它支持添加路径:

import java.util.HashMap;
import java.util.LinkedList;

public class TreeMap<T> extends LinkedHashMap<T, TreeMap<T>> {

    public void put(T[] path) {
        LinkedList<T> list = new LinkedList<>();
        for (T key : path) {
            list.add(key);
        }
        return put(list);
    }

    public void put(LinkedList<T> path) {
        if (path.isEmpty()) {
            return;
        }
        T key = path.removeFirst();
        TreeMap<T> val = get(key);
        if (val == null) {
            val = new TreeMap<>();
            put(key, val);
        }
        val.put(path);
    }

}

它可以用来存储一个“T”(泛型)类型的树，但(目前)不支持在节点中存储额外的数据。如果你有一个这样的文件:

root, child 1
root, child 1, child 1a
root, child 1, child 1b
root, child 2
root, child 3, child 3a

然后你可以通过执行:

TreeMap<String> root = new TreeMap<>();
Scanner scanner = new Scanner(new File("input.txt"));
while (scanner.hasNextLine()) {
  root.put(scanner.nextLine().split(", "));
}

你会得到一棵漂亮的树。它应该很容易适应你的需要。

import java.util.Collection;
import java.util.LinkedList;
import java.util.function.BiConsumer;
import java.util.function.Function;

/**
 * @author changjin wei(魏昌进)
 * @since 2021/7/15
 */
public class TreeUtils {

    private TreeUtils() {
    }

    /**
     * @param collection this is a collection of elements
     * @param getId this is a getId Function
     * @param getParentId this is a getParentId Function
     * @param setNode this is a setNode BiConsumer
     * @param <E> the type of elements in this collection
     * @param <R> the type of the result of the function
     *
     * @return Collection
     */
    public static <E, R> Collection<E> tree(Collection<E> collection, Function<E, R> getId, Function<E, R> getParentId, BiConsumer<E, Collection<E>> setNode) {
        Collection<E> root = new LinkedList<>();
        for (E node : collection) {
            R parentId = getParentId.apply(node);
            R id = getId.apply(node);
            Collection<E> elements = new LinkedList<>();
            boolean isParent = true;
            for (E element : collection) {
                if (id.equals(getParentId.apply(element))) {
                    elements.add(element);
                }
                if (isParent && getId.apply(element).equals(parentId)) {
                    isParent = false;
                }
            }
            if (isParent) {
                root.add(node);
            }
            setNode.accept(node, elements);
        }
        return root;
    }
}

Java中没有适合您需求的特定数据结构。您的需求非常具体，因此需要设计自己的数据结构。看看你的需求，任何人都可以说你需要某种具有特定功能的n元树。你可以通过以下方式设计你的数据结构:

Structure of the node of the tree would be like content in the node and list of children like: class Node { String value; List children;} You need to retrieve the children of a given string, so you can have 2 methods 1: Node searchNode(String str), will return the node that has the same value as given input (use BFS for searching) 2: List getChildren(String str): this method will internally call the searchNode to get the node having same string and then it will create the list of all string values of children and return. You will also be required to insert a string in tree. You will have to write one method say void insert(String parent, String value): this will again search the node having value equal to parent and then you can create a Node with given value and add to the list of children to the found parent.

我建议，你写一个类的节点结构类节点{字符串值;在另一个NodeUtils类中列出children;}和所有其他方法，如search, insert和getChildren，这样你也可以传递树的根来对特定的树执行操作，例如: 类NodeUtils{公共静态节点搜索(节点根，字符串值){//执行BFS并返回节点}

我对所有这些方法都有意见。

我使用的是“MappedTreeStructure”实现。这个实现很好地重新组织了树，并且不包含节点的“副本”。

但是没有提供分级方法。

看看那些有问题的输出!

MutableTree<String> tree = new MappedTreeStructure<>();

        tree.add("0", "1");
        tree.add("0", "2");
        tree.add("0", "3");
        tree.add("0", "4");
        tree.add("0", "5");

        tree.add("2", "3");
        tree.add("2", "5");

        tree.add("1", "2");
        tree.add("1", "3");
        tree.add("1", "5");

        System.out.println(
                tree.toString()
        );

哪个输出:(错误)

-  0
  -  1
    -  2
    -  3
    -  5
  -  4

还有这个:(正确)

tree = new MappedTreeStructure<>();

        tree.add("0", "1");
        tree.add("0", "2");
        tree.add("0", "3");
        tree.add("0", "4");
        tree.add("0", "5");

        tree.add("1", "2");
        tree.add("1", "3");
        tree.add("1", "5");

        tree.add("2", "3");
        tree.add("2", "5");

        System.out.println(
                tree.toString()
        );

正确的输出:

-  0
  -  1
    -  2
      -  3
      -  5
  -  4

如此!我创建了另一个实现来欣赏。请给一些建议和反馈!

package util;

import java.util.HashMap;
import java.util.Map;

public class Node<N extends Comparable<N>> {

    public final Map<N, Node<N>> parents = new HashMap<>();
    public final N value;
    public final Map<N, Node<N>> children = new HashMap<>();

    public Node(N value) {
        this.value = value;
    }
}

package util;

import java.util.*;
import java.util.stream.Collectors;

public class HierarchyTree<N extends Comparable<N>> {

    protected final Map<N, Node<N>> nodeList = new HashMap<>();

    public static <T extends Comparable<T>> Node<T> state(Map<T, Node<T>> nodeList, T node) {
        Node<T> tmp = nodeList.getOrDefault(node, new Node<>(node));
        nodeList.putIfAbsent(node, tmp);
        return tmp;
    }

    public static <T extends Comparable<T>> Node<T> state(Map<T, Node<T>> nodeList, Node<T> node) {
        Node<T> tmp = nodeList.getOrDefault(node.value, node);
        nodeList.putIfAbsent(node.value, tmp);
        return tmp;
    }

    public Node<N> state(N child) {
        return state(nodeList, child);
    }

    public Node<N> stateChild(N parent, N child) {
        Node<N> pai = state(parent);
        Node<N> filho = state(child);
        state(pai.children, filho);
        state(filho.parents, pai);
        return filho;
    }

    public List<Node<N>> addChildren(List<N> children) {
        List<Node<N>> retorno = new LinkedList<>();
        for (N child : children) {
            retorno.add(state(child));
        }
        return retorno;
    }

    public List<Node<N>> addChildren(N parent, List<N> children) {
        List<Node<N>> retorno = new LinkedList<>();
        for (N child : children) {
            retorno.add(stateChild(parent, child));
        }
        return retorno;
    }

    public List<Node<N>> addChildren(N parent, N... children) {
        return addChildren(parent, Arrays.asList(children));
    }

    public List<Node<N>> getRoots() {
        return nodeList.values().stream().filter(value -> value.parents.size() == 0).collect(Collectors.toList());
    }

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

    public String deepPrint(String prefix) {
        StringBuilder builder = new StringBuilder();
        deepPrint(builder, prefix, "", getRoots());
        return builder.toString();
    }

    protected void deepPrint(StringBuilder builder, String prefix, String sep, List<Node<N>> node) {
        for (Node<N> item : node) {
            builder.append(sep).append(item.value).append("\n");
            deepPrint(builder, prefix, sep + prefix, new ArrayList<>(item.children.values()));
        }
    }

    public SortedMap<Long, Set<N>> tree() {
        SortedMap<Long, Set<N>> tree = new TreeMap<>();
        tree(0L, tree, getRoots());
        return tree;
    }

    protected void tree(Long i, SortedMap<Long, Set<N>> tree, List<Node<N>> roots) {
        for (Node<N> node : roots) {
            Set<N> tmp = tree.getOrDefault(i, new HashSet<>());
            tree.putIfAbsent(i, tmp);
            tmp.add(node.value);
            tree(i + 1L, tree, new ArrayList<>(node.children.values()));
        }
    }

    public void prune() {
        Set<N> nodes = new HashSet<>();
        SortedMap<Long, Set<N>> tree = tree();
        List<Long> treeInverse = tree.keySet().stream().sorted(Comparator.reverseOrder()).collect(Collectors.toList());
        for (Long treeItem : treeInverse) {
            for (N n : tree.get(treeItem)) {
                Map<N, Node<N>> children = nodeList.get(n).children;
                for (N node : nodes) {
                    children.remove(node);
                }
                nodes.addAll(children.keySet());
            }
        }
    }

    public static void main(String[] args) {
        HierarchyTree<Integer> tree = new HierarchyTree<>();
        tree.addChildren(Arrays.asList(1, 2, 3, 4, 5));
        tree.addChildren(1, Arrays.asList(2, 3, 5));
        tree.addChildren(2, Arrays.asList(3, 5));
        tree.prune();
        System.out.println(tree);

        tree = new HierarchyTree<>();
        tree.addChildren(Arrays.asList(1, 2, 3, 4, 5));
        tree.addChildren(2, Arrays.asList(3, 5));
        tree.addChildren(1, Arrays.asList(2, 3, 5));
        tree.prune();
        System.out.println(tree);
    }
}

输出总是正确的:

1
- 2
- - 3
- - 5
4

1
- 2
- - 3
- - 5
4