{ "data": { "question": { "questionId": "2309", "questionFrontendId": "2207", "boundTopicId": null, "title": "Maximize Number of Subsequences in a String", "titleSlug": "maximize-number-of-subsequences-in-a-string", "content": "
You are given a 0-indexed string text and another 0-indexed string pattern of length 2, both of which consist of only lowercase English letters.
You can add either pattern[0] or pattern[1] anywhere in text exactly once. Note that the character can be added even at the beginning or at the end of text.
Return the maximum number of times pattern can occur as a subsequence of the modified text.
A subsequence is a string that can be derived from another string by deleting some or no characters without changing the order of the remaining characters.
\n\n\n
Example 1:
\n\n\nInput: text = "abdcdbc", pattern = "ac"\nOutput: 4\nExplanation:\nIf we add pattern[0] = 'a' in between text[1] and text[2], we get "abadcdbc". Now, the number of times "ac" occurs as a subsequence is 4.\nSome other strings which have 4 subsequences "ac" after adding a character to text are "aabdcdbc" and "abdacdbc".\nHowever, strings such as "abdcadbc", "abdccdbc", and "abdcdbcc", although obtainable, have only 3 subsequences "ac" and are thus suboptimal.\nIt can be shown that it is not possible to get more than 4 subsequences "ac" by adding only one character.\n\n\n
Example 2:
\n\n\nInput: text = "aabb", pattern = "ab"\nOutput: 6\nExplanation:\nSome of the strings which can be obtained from text and have 6 subsequences "ab" are "aaabb", "aaabb", and "aabbb".\n\n\n
\n
Constraints:
\n\n1 <= text.length <= 105pattern.length == 2text and pattern consist only of lowercase English letters.Compiled with clang 11 using the latest C++ 17 standard.
Your code is compiled with level two optimization (-O2). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.
Most standard library headers are already included automatically for your convenience.
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Python 2.7.12.
Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
\\r\\n\\r\\nNote that Python 2.7 will not be maintained past 2020. For the latest Python, please choose Python3 instead.
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\\r\\n\\r\\nFor hash table operations, you may use uthash. \\\"uthash.h\\\" is included by default. Below are some examples:
\\r\\n\\r\\n1. Adding an item to a hash.\\r\\n
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\\r\\nvoid delete_user(struct hash_entry *user) {\\r\\n HASH_DEL(users, user); \\r\\n}\\r\\n\\r\\n\"], \"csharp\": [\"C#\", \"\\r\\n\\r\\nYour code is compiled with debug flag enabled (/debug).
Node.js 16.13.2.
Your code is run with --harmony flag, enabling new ES6 features.
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\\r\\n\\r\\nFor Priority Queue / Queue data structures, you may use datastructures-js/priority-queue and datastructures-js/queue.
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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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Go 1.17.6.
Support https://godoc.org/github.com/emirpasic/gods library.
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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.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
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