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	* Add the intial translation of code of all the languages * test * revert * Remove * Add Python and Java code for EN version
		
			
				
	
	
		
			137 lines
		
	
	
		
			4.1 KiB
		
	
	
	
		
			Java
		
	
	
	
	
	
			
		
		
	
	
			137 lines
		
	
	
		
			4.1 KiB
		
	
	
	
		
			Java
		
	
	
	
	
	
/**
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 * File: array_binary_tree.java
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 * Created Time: 2023-07-19
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 * Author: krahets (krahets@163.com)
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 */
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package chapter_tree;
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import utils.*;
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import java.util.*;
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/* Array-based binary tree class */
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class ArrayBinaryTree {
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    private List<Integer> tree;
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    /* Constructor */
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    public ArrayBinaryTree(List<Integer> arr) {
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        tree = new ArrayList<>(arr);
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    }
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    /* List capacity */
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    public int size() {
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        return tree.size();
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    }
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    /* Get the value of the node at index i */
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    public Integer val(int i) {
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        // If the index is out of bounds, return null, representing an empty spot
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        if (i < 0 || i >= size())
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            return null;
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        return tree.get(i);
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    }
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    /* Get the index of the left child of the node at index i */
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    public Integer left(int i) {
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        return 2 * i + 1;
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    }
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    /* Get the index of the right child of the node at index i */
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    public Integer right(int i) {
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        return 2 * i + 2;
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    }
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    /* Get the index of the parent of the node at index i */
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    public Integer parent(int i) {
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        return (i - 1) / 2;
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    }
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    /* Level-order traversal */
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    public List<Integer> levelOrder() {
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        List<Integer> res = new ArrayList<>();
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        // Traverse array
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        for (int i = 0; i < size(); i++) {
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            if (val(i) != null)
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                res.add(val(i));
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        }
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        return res;
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    }
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    /* Depth-first traversal */
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    private void dfs(Integer i, String order, List<Integer> res) {
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        // If it is an empty spot, return
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        if (val(i) == null)
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            return;
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        // Pre-order traversal
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        if ("pre".equals(order))
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            res.add(val(i));
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        dfs(left(i), order, res);
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        // In-order traversal
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        if ("in".equals(order))
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            res.add(val(i));
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        dfs(right(i), order, res);
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        // Post-order traversal
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        if ("post".equals(order))
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            res.add(val(i));
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    }
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    /* Pre-order traversal */
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    public List<Integer> preOrder() {
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        List<Integer> res = new ArrayList<>();
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        dfs(0, "pre", res);
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        return res;
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    }
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    /* In-order traversal */
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    public List<Integer> inOrder() {
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        List<Integer> res = new ArrayList<>();
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        dfs(0, "in", res);
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        return res;
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    }
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    /* Post-order traversal */
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    public List<Integer> postOrder() {
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        List<Integer> res = new ArrayList<>();
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        dfs(0, "post", res);
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        return res;
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    }
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}
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public class array_binary_tree {
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    public static void main(String[] args) {
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        // Initialize binary tree
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        // Use a specific function to convert an array into a binary tree
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        List<Integer> arr = Arrays.asList(1, 2, 3, 4, null, 6, 7, 8, 9, null, null, 12, null, null, 15);
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        TreeNode root = TreeNode.listToTree(arr);
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        System.out.println("\nInitialize binary tree\n");
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        System.out.println("Array representation of the binary tree:");
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        System.out.println(arr);
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        System.out.println("Linked list representation of the binary tree:");
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        PrintUtil.printTree(root);
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        // Array-based binary tree class
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        ArrayBinaryTree abt = new ArrayBinaryTree(arr);
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        // Access node
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        int i = 1;
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        Integer l = abt.left(i);
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        Integer r = abt.right(i);
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        Integer p = abt.parent(i);
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        System.out.println("\nThe current node's index is " + i + ", value = " + abt.val(i));
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        System.out.println("Its left child's index is " + l + ", value = " + (l == null ? "null" : abt.val(l)));
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        System.out.println("Its right child's index is " + r + ", value = " + (r == null ? "null" : abt.val(r)));
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        System.out.println("Its parent's index is " + p + ", value = " + (p == null ? "null" : abt.val(p)));
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        // Traverse tree
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        List<Integer> res = abt.levelOrder();
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        System.out.println("\nLevel-order traversal is:" + res);
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        res = abt.preOrder();
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        System.out.println("Pre-order traversal is:" + res);
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        res = abt.inOrder();
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        System.out.println("In-order traversal is:" + res);
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        res = abt.postOrder();
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        System.out.println("Post-order traversal is:" + res);
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    }
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}
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