Class Node


  • public class Node
    extends Object
    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`
    • Field Detail

      • val

        public boolean val
      • isLeaf

        public boolean isLeaf
      • topLeft

        public Node topLeft
      • topRight

        public Node topRight
      • bottomLeft

        public Node bottomLeft
      • bottomRight

        public Node bottomRight
    • Constructor Detail

      • Node

        public Node​(boolean val,
                    boolean isLeaf)
      • Node

        public Node​(boolean val,
                    boolean isLeaf,
                    Node topLeft,
                    Node topRight,
                    Node bottomLeft,
                    Node bottomRight)