{ "data": { "question": { "questionId": "2526", "questionFrontendId": "2407", "boundTopicId": null, "title": "Longest Increasing Subsequence II", "titleSlug": "longest-increasing-subsequence-ii", "content": "

You are given an integer array nums and an integer k.

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Find the longest subsequence of nums that meets the following requirements:

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Return the length of the longest subsequence that meets the requirements.

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A subsequence is an array that can be derived from another array by deleting some or no elements without changing the order of the remaining elements.

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Example 1:

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\nInput: nums = [4,2,1,4,3,4,5,8,15], k = 3\nOutput: 5\nExplanation:\nThe longest subsequence that meets the requirements is [1,3,4,5,8].\nThe subsequence has a length of 5, so we return 5.\nNote that the subsequence [1,3,4,5,8,15] does not meet the requirements because 15 - 8 = 7 is larger than 3.\n
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Example 2:

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\nInput: nums = [7,4,5,1,8,12,4,7], k = 5\nOutput: 4\nExplanation:\nThe longest subsequence that meets the requirements is [4,5,8,12].\nThe subsequence has a length of 4, so we return 4.\n
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Example 3:

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\nInput: nums = [1,5], k = 1\nOutput: 1\nExplanation:\nThe longest subsequence that meets the requirements is [1].\nThe subsequence has a length of 1, so we return 1.\n
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Constraints:

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exact-integer?)\n )", "__typename": "CodeSnippetNode" }, { "lang": "Erlang", "langSlug": "erlang", "code": "-spec length_of_lis(Nums :: [integer()], K :: integer()) -> integer().\nlength_of_lis(Nums, K) ->\n .", "__typename": "CodeSnippetNode" }, { "lang": "Elixir", "langSlug": "elixir", "code": "defmodule Solution do\n @spec length_of_lis(nums :: [integer], k :: integer) :: integer\n def length_of_lis(nums, k) do\n \n end\nend", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"11.7K\", \"totalSubmission\": \"51.8K\", \"totalAcceptedRaw\": 11672, \"totalSubmissionRaw\": 51816, \"acRate\": \"22.5%\"}", "hints": [ "We can use dynamic programming. Let dp[i][val] be the answer using only the first i + 1 elements, and the last element in the subsequence is equal to val.", "The only value that might change between dp[i - 1] and dp[i] are dp[i - 1][val] and dp[i][val].", "Try using dp[i - 1] and the fact that the second last element in the subsequence has to fall within a range to calculate dp[i][val].", "We can use a segment tree to find the maximum value in dp[i - 1] within a certain range." ], "solution": null, "status": null, "sampleTestCase": "[4,2,1,4,3,4,5,8,15]\n3", "metaData": "{\n \"name\": \"lengthOfLIS\",\n \"params\": [\n {\n \"name\": \"nums\",\n \"type\": \"integer[]\"\n },\n {\n \"type\": \"integer\",\n \"name\": \"k\"\n }\n ],\n \"return\": {\n \"type\": \"integer\"\n }\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "enableTestMode": false, "enableDebugger": true, "envInfo": "{\"cpp\": [\"C++\", \"

Compiled with clang 11 using the latest C++ 20 standard.

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Your code is compiled with level two optimization (-O2). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.

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Most standard library headers are already included automatically for your convenience.

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OpenJDK 17. Java 8 features such as lambda expressions and stream API can be used.

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Most standard library headers are already included automatically for your convenience.

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Includes Pair class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.

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Python 2.7.12.

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Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.

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For Map/TreeMap data structure, you may use sortedcontainers library.

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Note that Python 2.7 will not be maintained past 2020. For the latest Python, please choose Python3 instead.

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Compiled with gcc 8.2 using the gnu11 standard.

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Most standard library headers are already included automatically for your convenience.

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3. Deleting an item in a hash:\\r\\n

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C# 10 with .NET 6 runtime

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Node.js 16.13.2.

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Your code is run with --harmony flag, enabling new ES6 features.

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lodash.js library is included by default.

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For Priority Queue / Queue data structures, you may use 5.3.0 version of datastructures-js/priority-queue and 4.2.1 version of datastructures-js/queue.

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Ruby 3.1

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Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms

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Swift 5.5.2.

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Go 1.21

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Support https://godoc.org/github.com/emirpasic/gods@v1.18.1 library.

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Python 3.10.

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PHP 8.1.

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TypeScript 5.1.6, Node.js 16.13.2.

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Run with Racket 8.3.

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Dart 2.17.3

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Your code will be run directly without compiling

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