mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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186 lines
28 KiB
JSON
186 lines
28 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "913",
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"questionFrontendId": "519",
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"categoryTitle": "Algorithms",
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"boundTopicId": 1855,
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"title": "Random Flip Matrix",
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"titleSlug": "random-flip-matrix",
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"content": "<p>There is an <code>m x n</code> binary grid <code>matrix</code> with all the values set <code>0</code> initially. Design an algorithm to randomly pick an index <code>(i, j)</code> where <code>matrix[i][j] == 0</code> and flips it to <code>1</code>. All the indices <code>(i, j)</code> where <code>matrix[i][j] == 0</code> should be equally likely to be returned.</p>\n\n<p>Optimize your algorithm to minimize the number of calls made to the <strong>built-in</strong> random function of your language and optimize the time and space complexity.</p>\n\n<p>Implement the <code>Solution</code> class:</p>\n\n<ul>\n\t<li><code>Solution(int m, int n)</code> Initializes the object with the size of the binary matrix <code>m</code> and <code>n</code>.</li>\n\t<li><code>int[] flip()</code> Returns a random index <code>[i, j]</code> of the matrix where <code>matrix[i][j] == 0</code> and flips it to <code>1</code>.</li>\n\t<li><code>void reset()</code> Resets all the values of the matrix to be <code>0</code>.</li>\n</ul>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input</strong>\n["Solution", "flip", "flip", "flip", "reset", "flip"]\n[[3, 1], [], [], [], [], []]\n<strong>Output</strong>\n[null, [1, 0], [2, 0], [0, 0], null, [2, 0]]\n\n<strong>Explanation</strong>\nSolution solution = new Solution(3, 1);\nsolution.flip(); // return [1, 0], [0,0], [1,0], and [2,0] should be equally likely to be returned.\nsolution.flip(); // return [2, 0], Since [1,0] was returned, [2,0] and [0,0]\nsolution.flip(); // return [0, 0], Based on the previously returned indices, only [0,0] can be returned.\nsolution.reset(); // All the values are reset to 0 and can be returned.\nsolution.flip(); // return [2, 0], [0,0], [1,0], and [2,0] should be equally likely to be returned.\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= m, n <= 10<sup>4</sup></code></li>\n\t<li>There will be at least one free cell for each call to <code>flip</code>.</li>\n\t<li>At most <code>1000</code> calls will be made to <code>flip</code> and <code>reset</code>.</li>\n</ul>\n",
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"translatedTitle": "随机翻转矩阵",
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"translatedContent": "<p>给你一个 <code>m x n</code> 的二元矩阵 <code>matrix</code> ,且所有值被初始化为 <code>0</code> 。请你设计一个算法,随机选取一个满足 <code>matrix[i][j] == 0</code> 的下标 <code>(i, j)</code> ,并将它的值变为 <code>1</code> 。所有满足 <code>matrix[i][j] == 0</code> 的下标 <code>(i, j)</code> 被选取的概率应当均等。</p>\n\n<p>尽量最少调用内置的随机函数,并且优化时间和空间复杂度。</p>\n\n<p>实现 <code>Solution</code> 类:</p>\n\n<ul>\n\t<li><code>Solution(int m, int n)</code> 使用二元矩阵的大小 <code>m</code> 和 <code>n</code> 初始化该对象</li>\n\t<li><code>int[] flip()</code> 返回一个满足 <code>matrix[i][j] == 0</code> 的随机下标 <code>[i, j]</code> ,并将其对应格子中的值变为 <code>1</code></li>\n\t<li><code>void reset()</code> 将矩阵中所有的值重置为 <code>0</code></li>\n</ul>\n\n<p> </p>\n\n<p><strong>示例:</strong></p>\n\n<pre>\n<strong>输入</strong>\n[\"Solution\", \"flip\", \"flip\", \"flip\", \"reset\", \"flip\"]\n[[3, 1], [], [], [], [], []]\n<strong>输出</strong>\n[null, [1, 0], [2, 0], [0, 0], null, [2, 0]]\n\n<strong>解释</strong>\nSolution solution = new Solution(3, 1);\nsolution.flip(); // 返回 [1, 0],此时返回 [0,0]、[1,0] 和 [2,0] 的概率应当相同\nsolution.flip(); // 返回 [2, 0],因为 [1,0] 已经返回过了,此时返回 [2,0] 和 [0,0] 的概率应当相同\nsolution.flip(); // 返回 [0, 0],根据前面已经返回过的下标,此时只能返回 [0,0]\nsolution.reset(); // 所有值都重置为 0 ,并可以再次选择下标返回\nsolution.flip(); // 返回 [2, 0],此时返回 [0,0]、[1,0] 和 [2,0] 的概率应当相同</pre>\n\n<p> </p>\n\n<p><strong>提示:</strong></p>\n\n<ul>\n\t<li><code>1 <= m, n <= 10<sup>4</sup></code></li>\n\t<li>每次调用<code>flip</code> 时,矩阵中至少存在一个值为 0 的格子。</li>\n\t<li>最多调用 <code>1000</code> 次 <code>flip</code> 和 <code>reset</code> 方法。</li>\n</ul>\n",
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"code": "class Solution {\npublic:\n Solution(int m, int n) {\n\n }\n \n vector<int> flip() {\n\n }\n \n void reset() {\n\n }\n};\n\n/**\n * Your Solution object will be instantiated and called as such:\n * Solution* obj = new Solution(m, n);\n * vector<int> param_1 = obj->flip();\n * obj->reset();\n */",
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"code": "class Solution {\n\n public Solution(int m, int n) {\n\n }\n \n public int[] flip() {\n\n }\n \n public void reset() {\n\n }\n}\n\n/**\n * Your Solution object will be instantiated and called as such:\n * Solution obj = new Solution(m, n);\n * int[] param_1 = obj.flip();\n * obj.reset();\n */",
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"code": "class Solution:\n\n def __init__(self, m: int, n: int):\n\n\n def flip(self) -> List[int]:\n\n\n def reset(self) -> None:\n\n\n\n# Your Solution object will be instantiated and called as such:\n# obj = Solution(m, n)\n# param_1 = obj.flip()\n# obj.reset()",
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"code": "public class Solution {\n\n public Solution(int m, int n) {\n\n }\n \n public int[] Flip() {\n\n }\n \n public void Reset() {\n\n }\n}\n\n/**\n * Your Solution object will be instantiated and called as such:\n * Solution obj = new Solution(m, n);\n * int[] param_1 = obj.Flip();\n * obj.Reset();\n */",
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"code": "\nclass Solution {\n\n init(_ m: Int, _ n: Int) {\n\n }\n \n func flip() -> [Int] {\n\n }\n \n func reset() {\n\n }\n}\n\n/**\n * Your Solution object will be instantiated and called as such:\n * let obj = Solution(m, n)\n * let ret_1: [Int] = obj.flip()\n * obj.reset()\n */",
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"code": "class Solution(m: Int, n: Int) {\n\n fun flip(): IntArray {\n\n }\n\n fun reset() {\n\n }\n\n}\n\n/**\n * Your Solution object will be instantiated and called as such:\n * var obj = Solution(m, n)\n * var param_1 = obj.flip()\n * obj.reset()\n */",
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"code": "class Solution {\n\n Solution(int m, int n) {\n \n }\n \n List<int> flip() {\n \n }\n \n void reset() {\n \n }\n}\n\n/**\n * Your Solution object will be instantiated and called as such:\n * Solution obj = Solution(m, n);\n * List<int> param1 = obj.flip();\n * obj.reset();\n */",
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"code": "class Solution\n\n=begin\n :type m: Integer\n :type n: Integer\n=end\n def initialize(m, n)\n\n end\n\n\n=begin\n :rtype: Integer[]\n=end\n def flip()\n\n end\n\n\n=begin\n :rtype: Void\n=end\n def reset()\n\n end\n\n\nend\n\n# Your Solution object will be instantiated and called as such:\n# obj = Solution.new(m, n)\n# param_1 = obj.flip()\n# obj.reset()",
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"code": "class Solution(_m: Int, _n: Int) {\n\n def flip(): Array[Int] = {\n\n }\n\n def reset() {\n\n }\n\n}\n\n/**\n * Your Solution object will be instantiated and called as such:\n * var obj = new Solution(m, n)\n * var param_1 = obj.flip()\n * obj.reset()\n */",
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