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package g0401_0500.s0427_construct_quad_tree;

/**
 * 427 - Construct Quad Tree\.
 *
 * Medium
 *
 * Given a `n * n` matrix `grid` of `0's` and `1's` only. We want to represent the `grid` with a Quad-Tree.
 *
 * Return _the root of the Quad-Tree_ representing the `grid`.
 *
 * Notice that you can assign the value of a node to **True** or **False** when `isLeaf` is **False** , and both are **accepted** in the answer.
 *
 * A Quad-Tree is a tree data structure in which each internal node has exactly four children. Besides, each node has two attributes:
 *
 * *   `val`: True if the node represents a grid of 1's or False if the node represents a grid of 0's.
 * *   `isLeaf`: True if the node is leaf node on the tree or False if the node has the four children.
 * ```
 *     class Node {
 *         public boolean val;
 *         public boolean isLeaf;
 *         public Node topLeft;
 *         public Node topRight;
 *         public Node bottomLeft;
 *         public Node bottomRight;
 *     }
 * ```
 * We can construct a Quad-Tree from a two-dimensional area using the following steps:
 *
 * 1.  If the current grid has the same value (i.e all `1's` or all `0's`) set `isLeaf` True and set `val` to the value of the grid and set the four children to Null and stop.
 * 2.  If the current grid has different values, set `isLeaf` to False and set `val` to any value and divide the current grid into four sub-grids as shown in the photo.
 * 3.  Recurse for each of the children with the proper sub-grid.
 *
 * ![](https://assets.leetcode.com/uploads/2020/02/11/new_top.png)
 *
 * If you want to know more about the Quad-Tree, you can refer to the [wiki](https://en.wikipedia.org/wiki/Quadtree).
 *
 * **Quad-Tree format:**
 *
 * The output represents the serialized format of a Quad-Tree using level order traversal, where `null` signifies a path terminator where no node exists below.
 *
 * It is very similar to the serialization of the binary tree. The only difference is that the node is represented as a list `[isLeaf, val]`.
 *
 * If the value of `isLeaf` or `val` is True we represent it as **1** in the list `[isLeaf, val]` and if the value of `isLeaf` or `val` is False we represent it as **0**.
 *
 * **Example 1:**
 *
 * ![](https://assets.leetcode.com/uploads/2020/02/11/grid1.png)
 *
 * **Input:** grid = \[\[0,1],[1,0]]
 *
 * **Output:** [[0,1],[1,0],[1,1],[1,1],[1,0]]
 *
 * **Explanation:**
 *
 *     The explanation of this example is shown below:
 *     Notice that 0 represnts False and 1 represents True in the photo representing the Quad-Tree.
 *
 * ![](https://assets.leetcode.com/uploads/2020/02/12/e1tree.png) 
 *
 * **Example 2:**
 *
 * ![](https://assets.leetcode.com/uploads/2020/02/12/e2mat.png)
 *
 * **Input:** grid = \[\[1,1,1,1,0,0,0,0],[1,1,1,1,0,0,0,0],[1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1],[1,1,1,1,0,0,0,0],[1,1,1,1,0,0,0,0],[1,1,1,1,0,0,0,0],[1,1,1,1,0,0,0,0]]
 *
 * **Output:** [[0,1],[1,1],[0,1],[1,1],[1,0],null,null,null,null,[1,0],[1,0],[1,1],[1,1]]
 *
 * **Explanation:**
 *
 *     All values in the grid are not the same. We divide the grid into four sub-grids.
 *     The topLeft, bottomLeft and bottomRight each has the same value.
 *     The topRight have different values so we divide it into 4 sub-grids where each has the same value.
 *     Explanation is shown in the photo below:
 *     
 * ![](https://assets.leetcode.com/uploads/2020/02/12/e2tree.png) 
 *
 * **Constraints:**
 *
 * *   `n == grid.length == grid[i].length`
 * *   n == 2x where `0 <= x <= 6`
**/
@SuppressWarnings("java:S1104")
public class Node {
    public boolean val;
    public boolean isLeaf;
    public Node topLeft;
    public Node topRight;
    public Node bottomLeft;
    public Node bottomRight;

    public Node(boolean val, boolean isLeaf) {
        this.val = val;
        this.isLeaf = isLeaf;
        this.topLeft = null;
        this.topRight = null;
        this.bottomLeft = null;
        this.bottomRight = null;
    }

    public Node(
            boolean val,
            boolean isLeaf,
            Node topLeft,
            Node topRight,
            Node bottomLeft,
            Node bottomRight) {
        this.val = val;
        this.isLeaf = isLeaf;
        this.topLeft = topLeft;
        this.topRight = topRight;
        this.bottomLeft = bottomLeft;
        this.bottomRight = bottomRight;
    }

    @Override
    public String toString() {
        return getNode(this)
                + getNode(topLeft)
                + getNode(topRight)
                + getNode(bottomLeft)
                + getNode(bottomRight);
    }

    private String getNode(Node node) {
        return "[" + (node.isLeaf ? "1" : "0") + "," + (node.val ? "1" : "0") + "]";
    }
}




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