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

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{
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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 class=\"example\">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 class=\"example\">Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> quadTree1 = [[1,0]], quadTree2 = [[1,0]]\n<strong>Output:</strong> [[1,0]]\n<strong>Explanation:</strong> Each tree represents a binary matrix of size 1*1. Each matrix contains only zero.\nThe resulting matrix is of size 1*1 with also zero.\n</pre>\n\n<p>&nbsp;</p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>quadTree1</code> and <code>quadTree2</code> are both <strong>valid</strong> Quad-Trees each representing a <code>n * n</code> grid.</li>\n\t<li><code>n == 2<sup>x</sup></code> where <code>0 &lt;= x &lt;= 9</code>.</li>\n</ul>\n",
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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 node.\n * class Node {\n * val: boolean\n * isLeaf: boolean\n * topLeft: Node | null\n * topRight: Node | null\n * bottomLeft: Node | null\n * bottomRight: Node | null\n * constructor(val?: boolean, isLeaf?: boolean, topLeft?: Node, topRight?: Node, bottomLeft?: Node, bottomRight?: Node) {\n * this.val = (val===undefined ? false : val)\n * this.isLeaf = (isLeaf===undefined ? false : isLeaf)\n * this.topLeft = (topLeft===undefined ? null : topLeft)\n * this.topRight = (topRight===undefined ? null : topRight)\n * this.bottomLeft = (bottomLeft===undefined ? null : bottomLeft)\n * this.bottomRight = (bottomRight===undefined ? null : bottomRight)\n * }\n * }\n */\n\nfunction intersect(quadTree1: Node | null, quadTree2: Node | null): Node | null {\n\n};",
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"code": "/**\n * Definition for a QuadTree node.\n * class Node {\n * public $val = null;\n * public $isLeaf = null;\n * public $topLeft = null;\n * public $topRight = null;\n * public $bottomLeft = null;\n * public $bottomRight = null;\n * function __construct($val, $isLeaf) {\n * $this->val = $val;\n * $this->isLeaf = $isLeaf;\n * $this->topLeft = null;\n * $this->topRight = null;\n * $this->bottomLeft = null;\n * $this->bottomRight = null;\n * }\n * }\n */\n\nclass Solution {\n /**\n * @param Node $quadTree1\n * @param Node $quadTree2\n * @return Node\n */\n function intersect($quadTree1, $quadTree2) {\n \n }\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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"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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"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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