{ "data": { "question": { "questionId": "1978", "questionFrontendId": "1850", "boundTopicId": null, "title": "Minimum Adjacent Swaps to Reach the Kth Smallest Number", "titleSlug": "minimum-adjacent-swaps-to-reach-the-kth-smallest-number", "content": "
You are given a string num
, representing a large integer, and an integer k
.
We call some integer wonderful if it is a permutation of the digits in num
and is greater in value than num
. There can be many wonderful integers. However, we only care about the smallest-valued ones.
num = "5489355142"
:\n\n\t"5489355214"
."5489355241"
."5489355412"
."5489355421"
.Return the minimum number of adjacent digit swaps that needs to be applied to num
to reach the kth
smallest wonderful integer.
The tests are generated in such a way that kth
smallest wonderful integer exists.
\n
Example 1:
\n\n\nInput: num = "5489355142", k = 4\nOutput: 2\nExplanation: The 4th smallest wonderful number is "5489355421". To get this number:\n- Swap index 7 with index 8: "5489355142" -> "5489355412"\n- Swap index 8 with index 9: "5489355412" -> "5489355421"\n\n\n
Example 2:
\n\n\nInput: num = "11112", k = 4\nOutput: 4\nExplanation: The 4th smallest wonderful number is "21111". To get this number:\n- Swap index 3 with index 4: "11112" -> "11121"\n- Swap index 2 with index 3: "11121" -> "11211"\n- Swap index 1 with index 2: "11211" -> "12111"\n- Swap index 0 with index 1: "12111" -> "21111"\n\n\n
Example 3:
\n\n\nInput: num = "00123", k = 1\nOutput: 1\nExplanation: The 1st smallest wonderful number is "00132". To get this number:\n- Swap index 3 with index 4: "00123" -> "00132"\n\n\n
\n
Constraints:
\n\n2 <= num.length <= 1000
1 <= k <= 1000
num
only consists of digits.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.
\"], \"java\": [\"Java\", \" OpenJDK 17
. Java 8 features such as lambda expressions and stream API can be used.
Most standard library headers are already included automatically for your convenience.
\\r\\nIncludes Pair
class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.
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.
\"], \"c\": [\"C\", \"Compiled with gcc 8.2
using the gnu99 standard.
Your code is compiled with level one optimization (-O1
). 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.
\\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
\\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\\r\\n\\r\\n\\r\\n
2. Looking up an item in a hash:\\r\\n
\\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\\r\\n\\r\\n\\r\\n
3. Deleting an item in a hash:\\r\\n
\\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\\n
Your code is compiled with debug flag enabled (/debug
).
Node.js 16.13.2
.
Your code is run with --harmony
flag, enabling new ES6 features.
lodash.js library is included by default.
\\r\\n\\r\\nFor Priority Queue / Queue data structures, you may use datastructures-js/priority-queue and datastructures-js/queue.
\"], \"ruby\": [\"Ruby\", \"Ruby 3.1
Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms
\"], \"swift\": [\"Swift\", \"Swift 5.5.2
.
Go 1.17.6
.
Support https://godoc.org/github.com/emirpasic/gods library.
\"], \"python3\": [\"Python3\", \"Python 3.10
.
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.
\"], \"scala\": [\"Scala\", \"Scala 2.13.7
.
Kotlin 1.3.10
.
Rust 1.58.1
Supports rand v0.6\\u00a0from crates.io
\"], \"php\": [\"PHP\", \"PHP 8.1
.
With bcmath module
\"], \"typescript\": [\"Typescript\", \"TypeScript 4.5.4, Node.js 16.13.2
.
Your code is run with --harmony
flag, enabling new ES2020 features.
lodash.js library is included by default.
\"], \"racket\": [\"Racket\", \"Run with Racket 8.3
.