Description
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.
- For example, when
num = "5489355142":<ul> <li>The 1<sup>st</sup> smallest wonderful integer is <code>"5489355214"</code>.</li> <li>The 2<sup>nd</sup> smallest wonderful integer is <code>"5489355241"</code>.</li> <li>The 3<sup>rd</sup> smallest wonderful integer is <code>"5489355412"</code>.</li> <li>The 4<sup>th</sup> smallest wonderful integer is <code>"5489355421"</code>.</li> </ul> </li>
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.
Example 1:
Input: num = "5489355142", k = 4 Output: 2 Explanation: The 4th smallest wonderful number is "5489355421". To get this number: - Swap index 7 with index 8: "5489355142" -> "5489355412" - Swap index 8 with index 9: "5489355412" -> "5489355421"
Example 2:
Input: num = "11112", k = 4 Output: 4 Explanation: The 4th smallest wonderful number is "21111". To get this number: - Swap index 3 with index 4: "11112" -> "11121" - Swap index 2 with index 3: "11121" -> "11211" - Swap index 1 with index 2: "11211" -> "12111" - Swap index 0 with index 1: "12111" -> "21111"
Example 3:
Input: num = "00123", k = 1 Output: 1 Explanation: The 1st smallest wonderful number is "00132". To get this number: - Swap index 3 with index 4: "00123" -> "00132"
Constraints:
2 <= num.length <= 10001 <= k <= 1000numonly consists of digits.
Solutions
Solution 1: Find Next Permutation + Inversion Pairs
We can call the next_permutation function k times to get the kth smallest permutation s.
Next, we just need to calculate how many swaps are needed for num to become s.
Let's first consider a simple situation where all the digits in num are different. In this case, we can directly map the digit characters in num to indices. For example, if num is "54893" and s is "98345". We map each digit in num to an index, that is:
Then, mapping each digit in s to an index results in "32410". In this way, the number of swaps needed to change num to s is equal to the number of inversion pairs in the index array after s is mapped.
If there are identical digits in num, we can use an array d to record the indices where each digit appears, where d[i] represents the list of indices where the digit i appears. To minimize the number of swaps, when mapping s to an index array, we only need to greedily select the index of the corresponding digit in d in order.
Finally, we can directly use a double loop to calculate the number of inversion pairs, or we can optimize it with a Binary Indexed Tree.
The time complexity is O(n × (k + n)), and the space complexity is O(n). Where n is the length of num.
class Solution: def getMinSwaps(self, num: str, k: int) -> int: def next_permutation(nums: List[str]) -> bool: n = len(nums) i = n - 2 while i >= 0 and nums[i] >= nums[i + 1]: i -= 1 if i < 0: return False j = n - 1 while j >= 0 and nums[j] <= nums[i]: j -= 1 nums[i], nums[j] = nums[j], nums[i] nums[i + 1 : n] = nums[i + 1 : n][::-1] return True s = list(num) for _ in range(k): next_permutation(s) d = [[] for _ in range(10)] idx = [0] * 10 n = len(s) for i, c in enumerate(num): j = ord(c) - ord("0") d[j].append(i) arr = [0] * n for i, c in enumerate(s): j = ord(c) - ord("0") arr[i] = d[j][idx[j]] idx[j] += 1 return sum(arr[j] > arr[i] for i in range(n) for j in range(i))(code-box)
