leetcode-problemset/leetcode/originData/logical-or-of-two-binary-grids-represented-as-quad-trees.json

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            "title": "Logical OR of Two Binary Grids Represented as Quad-Trees",
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            "content": "<p>A Binary Matrix is a matrix in which all the elements are either <strong>0</strong> or <strong>1</strong>.</p>\n\n<p>Given <code>quadTree1</code> and <code>quadTree2</code>. <code>quadTree1</code> represents a <code>n * n</code> binary matrix and <code>quadTree2</code> represents another <code>n * n</code> binary matrix.</p>\n\n<p>Return <em>a Quad-Tree</em> representing the <code>n * n</code> binary matrix which is the result of <strong>logical bitwise OR</strong> of the two binary matrixes represented by <code>quadTree1</code> and <code>quadTree2</code>.</p>\n\n<p>Notice that you can assign the value of a node to <strong>True</strong> or <strong>False</strong> when <code>isLeaf</code> is <strong>False</strong>, and both are <strong>accepted</strong> in the answer.</p>\n\n<p>A Quad-Tree is a tree data structure in which each internal node has exactly four children. Besides, each node has two attributes:</p>\n\n<ul>\n\t<li><code>val</code>: True if the node represents a grid of 1&#39;s or False if the node represents a grid of 0&#39;s.</li>\n\t<li><code>isLeaf</code>: True if the node is leaf node on the tree or False if the node has the four children.</li>\n</ul>\n\n<pre>\nclass Node {\n    public boolean val;\n    public boolean isLeaf;\n    public Node topLeft;\n    public Node topRight;\n    public Node bottomLeft;\n    public Node bottomRight;\n}</pre>\n\n<p>We can construct a Quad-Tree from a two-dimensional area using the following steps:</p>\n\n<ol>\n\t<li>If the current grid has the same value (i.e all <code>1&#39;s</code> or all <code>0&#39;s</code>) set <code>isLeaf</code> True and set <code>val</code> to the value of the grid and set the four children to Null and stop.</li>\n\t<li>If the current grid has different values, set <code>isLeaf</code> to False and set <code>val</code> to any value and divide the current grid into four sub-grids as shown in the photo.</li>\n\t<li>Recurse for each of the children with the proper sub-grid.</li>\n</ol>\n<img alt=\"\" src=\"https://assets.leetcode.com/uploads/2020/02/11/new_top.png\" style=\"width: 777px; height: 181px;\" />\n<p>If you want to know more about the Quad-Tree, you can refer to the <a href=\"https://en.wikipedia.org/wiki/Quadtree\">wiki</a>.</p>\n\n<p><strong>Quad-Tree format:</strong></p>\n\n<p>The input/output represents the serialized format of a Quad-Tree using level order traversal, where <code>null</code> signifies a path terminator where no node exists below.</p>\n\n<p>It is very similar to the serialization of the binary tree. The only difference is that the node is represented as a list <code>[isLeaf, val]</code>.</p>\n\n<p>If the value of <code>isLeaf</code> or <code>val</code> is True we represent it as <strong>1</strong> in the list <code>[isLeaf, val]</code> and if the value of <code>isLeaf</code> or <code>val</code> is False we represent it as <strong>0</strong>.</p>\n\n<p>&nbsp;</p>\n<p><strong>Example 1:</strong></p>\n<img alt=\"\" src=\"https://assets.leetcode.com/uploads/2020/02/11/qt1.png\" style=\"width: 550px; height: 196px;\" /> <img alt=\"\" src=\"https://assets.leetcode.com/uploads/2020/02/11/qt2.png\" style=\"width: 550px; height: 278px;\" />\n<pre>\n<strong>Input:</strong> quadTree1 = [[0,1],[1,1],[1,1],[1,0],[1,0]]\n, quadTree2 = [[0,1],[1,1],[0,1],[1,1],[1,0],null,null,null,null,[1,0],[1,0],[1,1],[1,1]]\n<strong>Output:</strong> [[0,0],[1,1],[1,1],[1,1],[1,0]]\n<strong>Explanation:</strong> quadTree1 and quadTree2 are shown above. You can see the binary matrix which is represented by each Quad-Tree.\nIf we apply logical bitwise OR on the two binary matrices we get the binary matrix below which is represented by the result Quad-Tree.\nNotice that the binary matrices shown are only for illustration, you don&#39;t have to construct the binary matrix to get the result tree.\n<img alt=\"\" src=\"https://assets.leetcode.com/uploads/2020/02/11/qtr.png\" style=\"width: 777px; height: 222px;\" />\n</pre>\n\n<p><strong>Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> quadTree1 = [[1,0]], quadTree2 = [[1
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                    "code": "/*\n// Definition for a QuadTree node.\nclass Node {\npublic:\n    bool val;\n    bool isLeaf;\n    Node* topLeft;\n    Node* topRight;\n    Node* bottomLeft;\n    Node* bottomRight;\n    \n    Node() {\n        val = false;\n        isLeaf = false;\n        topLeft = NULL;\n        topRight = NULL;\n        bottomLeft = NULL;\n        bottomRight = NULL;\n    }\n    \n    Node(bool _val, bool _isLeaf) {\n        val = _val;\n        isLeaf = _isLeaf;\n        topLeft = NULL;\n        topRight = NULL;\n        bottomLeft = NULL;\n        bottomRight = NULL;\n    }\n    \n    Node(bool _val, bool _isLeaf, Node* _topLeft, Node* _topRight, Node* _bottomLeft, Node* _bottomRight) {\n        val = _val;\n        isLeaf = _isLeaf;\n        topLeft = _topLeft;\n        topRight = _topRight;\n        bottomLeft = _bottomLeft;\n        bottomRight = _bottomRight;\n    }\n};\n*/\n\nclass Solution {\npublic:\n    Node* intersect(Node* quadTree1, Node* quadTree2) {\n        \n    }\n};",
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                    "code": "/*\n// Definition for a QuadTree node.\nclass Node {\n    public boolean val;\n    public boolean isLeaf;\n    public Node topLeft;\n    public Node topRight;\n    public Node bottomLeft;\n    public Node bottomRight;\n\n    public Node() {}\n\n    public Node(boolean _val,boolean _isLeaf,Node _topLeft,Node _topRight,Node _bottomLeft,Node _bottomRight) {\n        val = _val;\n        isLeaf = _isLeaf;\n        topLeft = _topLeft;\n        topRight = _topRight;\n        bottomLeft = _bottomLeft;\n        bottomRight = _bottomRight;\n    }\n};\n*/\n\nclass Solution {\n    public Node intersect(Node quadTree1, Node quadTree2) {\n        \n    }\n}",
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                    "code": "\"\"\"\n# Definition for a QuadTree node.\nclass Node(object):\n    def __init__(self, val, isLeaf, topLeft, topRight, bottomLeft, bottomRight):\n        self.val = val\n        self.isLeaf = isLeaf\n        self.topLeft = topLeft\n        self.topRight = topRight\n        self.bottomLeft = bottomLeft\n        self.bottomRight = bottomRight\n\"\"\"\n\nclass Solution(object):\n    def intersect(self, quadTree1, quadTree2):\n        \"\"\"\n        :type quadTree1: Node\n        :type quadTree2: Node\n        :rtype: Node\n        \"\"\"\n        ",
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                    "code": "/*\n// Definition for a QuadTree node.\npublic class Node {\n    public bool val;\n    public bool isLeaf;\n    public Node topLeft;\n    public Node topRight;\n    public Node bottomLeft;\n    public Node bottomRight;\n\n    public Node(){}\n    public Node(bool _val,bool _isLeaf,Node _topLeft,Node _topRight,Node _bottomLeft,Node _bottomRight) {\n        val = _val;\n        isLeaf = _isLeaf;\n        topLeft = _topLeft;\n        topRight = _topRight;\n        bottomLeft = _bottomLeft;\n        bottomRight = _bottomRight;\n    }\n}\n*/\n\npublic class Solution {\n    public Node Intersect(Node quadTree1, Node quadTree2) {\n        \n    }\n}",
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                    "code": "/**\n * // Definition for a QuadTree node.\n * function Node(val,isLeaf,topLeft,topRight,bottomLeft,bottomRight) {\n *    this.val = val;\n *    this.isLeaf = isLeaf;\n *    this.topLeft = topLeft;\n *    this.topRight = topRight;\n *    this.bottomLeft = bottomLeft;\n *    this.bottomRight = bottomRight;\n * };\n */\n\n/**\n * @param {Node} quadTree1\n * @param {Node} quadTree2\n * @return {Node}\n */\nvar intersect = function(quadTree1, quadTree2) {\n    \n};",
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                    "code": "# Definition for a QuadTree node.\n# class Node\n#     attr_accessor :val, :isLeaf, :topLeft, :topRight, :bottomLeft, :bottomRight\n#     def initialize(val=false, isLeaf=false, topLeft=nil, topRight=nil, bottomLeft=nil, bottomRight=nil)\n#         @val = val\n#         @isLeaf = isLeaf\n#         @topLeft = topLeft\n#         @topRight = topRight\n#         @bottomLeft = bottomLeft\n#         @bottomRight = bottomRight\n#     end\n# end\n\n# @param {Node} quadTree1\n# @param {Node} quadTree2\n# @return {Node}\ndef intersect(quadTree1, quadTree2)\n\t\nend\n",
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                    "code": "/**\n * Definition for a Node.\n * public class Node {\n *     public var val: Bool\n *     public var isLeaf: Bool\n *     public var topLeft: Node?\n *     public var topRight: Node?\n *     public var bottomLeft: Node?\n *     public var bottomRight: Node?\n *     public init(_ val: Bool, _ isLeaf: Bool) {\n *         self.val = val\n *         self.isLeaf = isLeaf\n *         self.topLeft = nil\n *         self.topRight = nil\n *         self.bottomLeft = nil\n *         self.bottomRight = nil\n *     }\n * }\n */\n\nclass Solution {\n    func intersect(_ quadTree1: Node?, _ quadTree2: Node?) -> Node? {\n        \n    }\n}",
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                    "lang": "Go",
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                    "code": "/**\n * Definition for a QuadTree node.\n * type Node struct {\n *     Val bool\n *     IsLeaf bool\n *     TopLeft *Node\n *     TopRight *Node\n *     BottomLeft *Node\n *     BottomRight *Node\n * }\n */\n\nfunc intersect(quadTree1 *Node, quadTree2 *Node) *Node {\n    \n}",
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                    "code": "/**\n * Definition for a QuadTree node.\n * class Node(var _value: Boolean, var _isLeaf: Boolean) {\n *   var value: Int = _value\n *   var isLeaf: Boolean = _isLeaf\n *   var topLeft: Node = null\n *   var topRight: Node = null\n *   var bottomLeft: Node = null\n *   var bottomRight: Node = null\n * }\n */\n\nobject Solution {\n    def intersect(quadTree1: Node, quadTree2: Node): Node = {\n        \n    }\n}",
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                    "code": "/**\n * Definition for a QuadTree node.\n * class Node(var `val`: Boolean, var isLeaf: Boolean) {\n *     var topLeft: Node? = null\n *     var topRight: Node? = null\n *     var bottomLeft: Node? = null\n *     var bottomRight: Node? = null\n * }\n */\n\nclass Solution {\n    fun intersect(quadTree1: Node?, quadTree2: Node?): Node? {\n        \n    }\n}",
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