mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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182 lines
20 KiB
JSON
182 lines
20 KiB
JSON
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"questionId": "3142",
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"title": "Longest Unequal Adjacent Groups Subsequence II",
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"content": "<p>You are given an integer <code>n</code>, a <strong>0-indexed</strong> string array <code>words</code>, and a <strong>0-indexed</strong> array <code>groups</code>, both arrays having length <code>n</code>.</p>\n\n<p>The <strong>hamming distance</strong> between two strings of equal length is the number of positions at which the corresponding characters are <strong>different</strong>.</p>\n\n<p>You need to select the <strong>longest</strong> <strong>subsequence</strong> from an array of indices <code>[0, 1, ..., n - 1]</code>, such that for the subsequence denoted as <code>[i<sub>0</sub>, i<sub>1</sub>, ..., i<sub>k - 1</sub>]</code> having length <code>k</code>, the following holds:</p>\n\n<ul>\n\t<li>For <strong>adjacent</strong> indices in the subsequence, their corresponding groups are <strong>unequal</strong>, i.e., <code>groups[i<sub>j</sub>] != groups[i<sub>j + 1</sub>]</code>, for each <code>j</code> where <code>0 < j + 1 < k</code>.</li>\n\t<li><code>words[i<sub>j</sub>]</code> and <code>words[i<sub>j + 1</sub>]</code> are <strong>equal</strong> in length, and the <strong>hamming distance</strong> between them is <code>1</code>, where <code>0 < j + 1 < k</code>, for all indices in the subsequence.</li>\n</ul>\n\n<p>Return <em>a string array containing the words corresponding to the indices <strong>(in order)</strong> in the selected subsequence</em>. If there are multiple answers, return <em>any of them</em>.</p>\n\n<p>A <strong>subsequence</strong> of an array is a new array that is formed from the original array by deleting some (possibly none) of the elements without disturbing the relative positions of the remaining elements.</p>\n\n<p><strong>Note:</strong> strings in <code>words</code> may be <strong>unequal</strong> in length.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> n = 3, words = ["bab","dab","cab"], groups = [1,2,2]\n<strong>Output:</strong> ["bab","cab"]\n<strong>Explanation:</strong> A subsequence that can be selected is [0,2].\n- groups[0] != groups[2]\n- words[0].length == words[2].length, and the hamming distance between them is 1.\nSo, a valid answer is [words[0],words[2]] = ["bab","cab"].\nAnother subsequence that can be selected is [0,1].\n- groups[0] != groups[1]\n- words[0].length == words[1].length, and the hamming distance between them is 1.\nSo, another valid answer is [words[0],words[1]] = ["bab","dab"].\nIt can be shown that the length of the longest subsequence of indices that satisfies the conditions is 2. </pre>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> n = 4, words = ["a","b","c","d"], groups = [1,2,3,4]\n<strong>Output:</strong> ["a","b","c","d"]\n<strong>Explanation:</strong> We can select the subsequence [0,1,2,3].\nIt satisfies both conditions.\nHence, the answer is [words[0],words[1],words[2],words[3]] = ["a","b","c","d"].\nIt has the longest length among all subsequences of indices that satisfy the conditions.\nHence, it is the only answer.\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= n == words.length == groups.length <= 1000</code></li>\n\t<li><code>1 <= words[i].length <= 10</code></li>\n\t<li><code>1 <= groups[i] <= n</code></li>\n\t<li><code>words</code> consists of <strong>distinct</strong> strings.</li>\n\t<li><code>words[i]</code> consists of lowercase English letters.</li>\n</ul>\n",
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"code": "class Solution(object):\n def getWordsInLongestSubsequence(self, n, words, groups):\n \"\"\"\n :type n: int\n :type words: List[str]\n :type groups: List[int]\n :rtype: List[str]\n \"\"\"\n ",
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"code": "# @param {Integer} n\n# @param {String[]} words\n# @param {Integer[]} groups\n# @return {String[]}\ndef get_words_in_longest_subsequence(n, words, groups)\n \nend",
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"code": "impl Solution {\n pub fn get_words_in_longest_subsequence(n: i32, words: Vec<String>, groups: Vec<i32>) -> Vec<String> {\n \n }\n}",
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"Let <code>dp[i]</code> represent the length of the longest subsequence ending with <code>words[i]</code> that satisfies the conditions.",
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"<code>dp[i] =</code> (maximum value of <code>dp[j]</code>) <code>+ 1</code> for indices <code>j < i</code>, where <code>groups[i] != groups[j]</code>, <code>words[i]</code> and <code>words[j]</code> are equal in length, and the hamming distance between <code>words[i]</code> and <code>words[j]</code> is exactly <code>1</code>.",
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"Keep track of the <code>j</code> values used to achieve the maximum <code>dp[i]</code> for each index <code>i</code>.",
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"The expected array's length is <code>max(dp[0:n])</code>, and starting from the index having the maximum value in <code>dp</code>, we can trace backward to get the words."
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"sampleTestCase": "3\n[\"bab\",\"dab\",\"cab\"]\n[1,2,2]",
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