{ "data": { "question": { "questionId": "3150", "questionFrontendId": "2904", "boundTopicId": null, "title": "Shortest and Lexicographically Smallest Beautiful String", "titleSlug": "shortest-and-lexicographically-smallest-beautiful-string", "content": "

You are given a binary string s and a positive integer k.

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A substring of s is beautiful if the number of 1's in it is exactly k.

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Let len be the length of the shortest beautiful substring.

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Return the lexicographically smallest beautiful substring of string s with length equal to len. If s doesn't contain a beautiful substring, return an empty string.

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A string a is lexicographically larger than a string b (of the same length) if in the first position where a and b differ, a has a character strictly larger than the corresponding character in b.

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Example 1:

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\nInput: s = "100011001", k = 3\nOutput: "11001"\nExplanation: There are 7 beautiful substrings in this example:\n1. The substring "100011001".\n2. The substring "100011001".\n3. The substring "100011001".\n4. The substring "100011001".\n5. The substring "100011001".\n6. The substring "100011001".\n7. The substring "100011001".\nThe length of the shortest beautiful substring is 5.\nThe lexicographically smallest beautiful substring with length 5 is the substring "11001".\n
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Example 2:

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\nInput: s = "1011", k = 2\nOutput: "11"\nExplanation: There are 3 beautiful substrings in this example:\n1. The substring "1011".\n2. The substring "1011".\n3. The substring "1011".\nThe length of the shortest beautiful substring is 2.\nThe lexicographically smallest beautiful substring with length 2 is the substring "11".\n
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Example 3:

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\nInput: s = "000", k = 1\nOutput: ""\nExplanation: There are no beautiful substrings in this example.\n
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Constraints:

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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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Python 2.7.12.

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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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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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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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Go 1.21

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Python 3.10.

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Scala 2.13.7.

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Kotlin 1.9.0.

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Rust 1.58.1

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PHP 8.1.

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With bcmath module

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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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