mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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187 lines
18 KiB
JSON
187 lines
18 KiB
JSON
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"questionId": "2466",
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"questionFrontendId": "2382",
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"boundTopicId": null,
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"title": "Maximum Segment Sum After Removals",
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"titleSlug": "maximum-segment-sum-after-removals",
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"content": "<p>You are given two <strong>0-indexed</strong> integer arrays <code>nums</code> and <code>removeQueries</code>, both of length <code>n</code>. For the <code>i<sup>th</sup></code> query, the element in <code>nums</code> at the index <code>removeQueries[i]</code> is removed, splitting <code>nums</code> into different segments.</p>\n\n<p>A <strong>segment</strong> is a contiguous sequence of <strong>positive</strong> integers in <code>nums</code>. A <strong>segment sum</strong> is the sum of every element in a segment.</p>\n\n<p>Return<em> an integer array </em><code>answer</code><em>, of length </em><code>n</code><em>, where </em><code>answer[i]</code><em> is the <strong>maximum</strong> segment sum after applying the </em><code>i<sup>th</sup></code> <em>removal.</em></p>\n\n<p><strong>Note:</strong> The same index will <strong>not</strong> be removed more than once.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> nums = [1,2,5,6,1], removeQueries = [0,3,2,4,1]\n<strong>Output:</strong> [14,7,2,2,0]\n<strong>Explanation:</strong> Using 0 to indicate a removed element, the answer is as follows:\nQuery 1: Remove the 0th element, nums becomes [0,2,5,6,1] and the maximum segment sum is 14 for segment [2,5,6,1].\nQuery 2: Remove the 3rd element, nums becomes [0,2,5,0,1] and the maximum segment sum is 7 for segment [2,5].\nQuery 3: Remove the 2nd element, nums becomes [0,2,0,0,1] and the maximum segment sum is 2 for segment [2]. \nQuery 4: Remove the 4th element, nums becomes [0,2,0,0,0] and the maximum segment sum is 2 for segment [2]. \nQuery 5: Remove the 1st element, nums becomes [0,0,0,0,0] and the maximum segment sum is 0, since there are no segments.\nFinally, we return [14,7,2,2,0].</pre>\n\n<p><strong>Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> nums = [3,2,11,1], removeQueries = [3,2,1,0]\n<strong>Output:</strong> [16,5,3,0]\n<strong>Explanation:</strong> Using 0 to indicate a removed element, the answer is as follows:\nQuery 1: Remove the 3rd element, nums becomes [3,2,11,0] and the maximum segment sum is 16 for segment [3,2,11].\nQuery 2: Remove the 2nd element, nums becomes [3,2,0,0] and the maximum segment sum is 5 for segment [3,2].\nQuery 3: Remove the 1st element, nums becomes [3,0,0,0] and the maximum segment sum is 3 for segment [3].\nQuery 4: Remove the 0th element, nums becomes [0,0,0,0] and the maximum segment sum is 0, since there are no segments.\nFinally, we return [16,5,3,0].\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>n == nums.length == removeQueries.length</code></li>\n\t<li><code>1 <= n <= 10<sup>5</sup></code></li>\n\t<li><code>1 <= nums[i] <= 10<sup>9</sup></code></li>\n\t<li><code>0 <= removeQueries[i] < n</code></li>\n\t<li>All the values of <code>removeQueries</code> are <strong>unique</strong>.</li>\n</ul>\n",
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"difficulty": "Hard",
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"similarQuestions": "[]",
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"exampleTestcases": "[1,2,5,6,1]\n[0,3,2,4,1]\n[3,2,11,1]\n[3,2,1,0]",
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"categoryTitle": "Algorithms",
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"contributors": [],
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"name": "Array",
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"name": "Union Find",
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"name": "Prefix Sum",
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"code": "class Solution {\npublic:\n vector<long long> maximumSegmentSum(vector<int>& nums, vector<int>& removeQueries) {\n \n }\n};",
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"code": "class Solution(object):\n def maximumSegmentSum(self, nums, removeQueries):\n \"\"\"\n :type nums: List[int]\n :type removeQueries: List[int]\n :rtype: List[int]\n \"\"\"\n ",
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"code": "\n\n/**\n * Note: The returned array must be malloced, assume caller calls free().\n */\nlong long* maximumSegmentSum(int* nums, int numsSize, int* removeQueries, int removeQueriesSize, int* returnSize){\n\n}",
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"code": "public class Solution {\n public long[] MaximumSegmentSum(int[] nums, int[] removeQueries) {\n \n }\n}",
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"code": "/**\n * @param {number[]} nums\n * @param {number[]} removeQueries\n * @return {number[]}\n */\nvar maximumSegmentSum = function(nums, removeQueries) {\n \n};",
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"lang": "Ruby",
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"code": "# @param {Integer[]} nums\n# @param {Integer[]} remove_queries\n# @return {Integer[]}\ndef maximum_segment_sum(nums, remove_queries)\n \nend",
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"code": "class Solution {\n func maximumSegmentSum(_ nums: [Int], _ removeQueries: [Int]) -> [Int] {\n \n }\n}",
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"code": "func maximumSegmentSum(nums []int, removeQueries []int) []int64 {\n \n}",
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"code": "class Solution {\n fun maximumSegmentSum(nums: IntArray, removeQueries: IntArray): LongArray {\n \n }\n}",
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"code": "impl Solution {\n pub fn maximum_segment_sum(nums: Vec<i32>, remove_queries: Vec<i32>) -> Vec<i64> {\n \n }\n}",
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"code": "class Solution {\n\n /**\n * @param Integer[] $nums\n * @param Integer[] $removeQueries\n * @return Integer[]\n */\n function maximumSegmentSum($nums, $removeQueries) {\n \n }\n}",
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"hints": [
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"Use a sorted data structure to collect removal points and store the segments.",
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"Use a heap or priority queue to store segment sums and their corresponding boundaries.",
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"Make sure to remove invalid segments from the heap."
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"sampleTestCase": "[1,2,5,6,1]\n[0,3,2,4,1]",
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"envInfo": "{\"cpp\": [\"C++\", \"<p>Compiled with <code> clang 11 </code> using the latest C++ 17 standard.</p>\\r\\n\\r\\n<p>Your code is compiled with level two optimization (<code>-O2</code>). <a href=\\\"https://github.com/google/sanitizers/wiki/AddressSanitizer\\\" target=\\\"_blank\\\">AddressSanitizer</a> is also enabled to help detect out-of-bounds and use-after-free bugs.</p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\"], \"java\": [\"Java\", \"<p><code> OpenJDK 17 </code>. Java 8 features such as lambda expressions and stream API can be used. </p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\\r\\n<p>Includes <code>Pair</code> class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.</p>\"], \"python\": [\"Python\", \"<p><code>Python 2.7.12</code>.</p>\\r\\n\\r\\n<p>Most libraries are already imported automatically for your convenience, such as <a href=\\\"https://docs.python.org/2/library/array.html\\\" target=\\\"_blank\\\">array</a>, <a href=\\\"https://docs.python.org/2/library/bisect.html\\\" target=\\\"_blank\\\">bisect</a>, <a href=\\\"https://docs.python.org/2/library/collections.html\\\" target=\\\"_blank\\\">collections</a>. If you need more libraries, you can import it yourself.</p>\\r\\n\\r\\n<p>For Map/TreeMap data structure, you may use <a href=\\\"http://www.grantjenks.com/docs/sortedcontainers/\\\" target=\\\"_blank\\\">sortedcontainers</a> library.</p>\\r\\n\\r\\n<p>Note that Python 2.7 <a href=\\\"https://www.python.org/dev/peps/pep-0373/\\\" target=\\\"_blank\\\">will not be maintained past 2020</a>. For the latest Python, please choose Python3 instead.</p>\"], \"c\": [\"C\", \"<p>Compiled with <code>gcc 8.2</code> using the gnu11 standard.</p>\\r\\n\\r\\n<p>Your code is compiled with level one optimization (<code>-O1</code>). <a href=\\\"https://github.com/google/sanitizers/wiki/AddressSanitizer\\\" target=\\\"_blank\\\">AddressSanitizer</a> is also enabled to help detect out-of-bounds and use-after-free bugs.</p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\\r\\n\\r\\n<p>For hash table operations, you may use <a href=\\\"https://troydhanson.github.io/uthash/\\\" target=\\\"_blank\\\">uthash</a>. \\\"uthash.h\\\" is included by default. Below are some examples:</p>\\r\\n\\r\\n<p><b>1. Adding an item to a hash.</b>\\r\\n<pre>\\r\\nstruct hash_entry {\\r\\n int id; /* we'll use this field as the key */\\r\\n char name[10];\\r\\n UT_hash_handle hh; /* makes this structure hashable */\\r\\n};\\r\\n\\r\\nstruct hash_entry *users = NULL;\\r\\n\\r\\nvoid add_user(struct hash_entry *s) {\\r\\n HASH_ADD_INT(users, id, s);\\r\\n}\\r\\n</pre>\\r\\n</p>\\r\\n\\r\\n<p><b>2. Looking up an item in a hash:</b>\\r\\n<pre>\\r\\nstruct hash_entry *find_user(int user_id) {\\r\\n struct hash_entry *s;\\r\\n HASH_FIND_INT(users, &user_id, s);\\r\\n return s;\\r\\n}\\r\\n</pre>\\r\\n</p>\\r\\n\\r\\n<p><b>3. Deleting an item in a hash:</b>\\r\\n<pre>\\r\\nvoid delete_user(struct hash_entry *user) {\\r\\n HASH_DEL(users, user); \\r\\n}\\r\\n</pre>\\r\\n</p>\"], \"csharp\": [\"C#\", \"<p><a href=\\\"https://docs.microsoft.com/en-us/dotnet/csharp/whats-new/csharp-9\\\" target=\\\"_blank\\\">C# 10 with .NET 6 runtime</a></p>\"], \"javascript\": [\"JavaScript\", \"<p><code>Node.js 16.13.2</code>.</p>\\r\\n\\r\\n<p>Your code is run with <code>--harmony</code> flag, enabling <a href=\\\"http://node.green/\\\" target=\\\"_blank\\\">new ES6 features</a>.</p>\\r\\n\\r\\n<p><a href=\\\"https://lodash.com\\\" target=\\\"_blank\\\">lodash.js</a> library is included by default.</p>\\r\\n\\r\\n<p>For Priority Queue / Queue data structures, you may use <a href=\\\"https://github.com/datastructures-js/priority-queue\\\" target=\\\"_blank\\\">datastructures-js/priority-queue</a> and <a href=\\\"https://github.com/datastructures-js/queue\\\" target=\\\"_blank\\\">datastructures-js/queue<
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