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2343. Query Kth Smallest Trimmed Number
Description
You are given a 0-indexed array of strings nums
, where each string is of equal length and consists of only digits.
You are also given a 0-indexed 2D integer array queries
where queries[i] = [ki, trimi]
. For each queries[i]
, you need to:
- Trim each number in
nums
to its rightmosttrimi
digits. - Determine the index of the
kith
smallest trimmed number innums
. If two trimmed numbers are equal, the number with the lower index is considered to be smaller. - Reset each number in
nums
to its original length.
Return an array answer
of the same length as queries
, where answer[i]
is the answer to the ith
query.
Note:
- To trim to the rightmost
x
digits means to keep removing the leftmost digit, until onlyx
digits remain. - Strings in
nums
may contain leading zeros.
Example 1:
Input: nums = ["102","473","251","814"], queries = [[1,1],[2,3],[4,2],[1,2]] Output: [2,2,1,0] Explanation: 1. After trimming to the last digit, nums = ["2","3","1","4"]. The smallest number is 1 at index 2. 2. Trimmed to the last 3 digits, nums is unchanged. The 2nd smallest number is 251 at index 2. 3. Trimmed to the last 2 digits, nums = ["02","73","51","14"]. The 4th smallest number is 73. 4. Trimmed to the last 2 digits, the smallest number is 2 at index 0. Note that the trimmed number "02" is evaluated as 2.
Example 2:
Input: nums = ["24","37","96","04"], queries = [[2,1],[2,2]] Output: [3,0] Explanation: 1. Trimmed to the last digit, nums = ["4","7","6","4"]. The 2nd smallest number is 4 at index 3. There are two occurrences of 4, but the one at index 0 is considered smaller than the one at index 3. 2. Trimmed to the last 2 digits, nums is unchanged. The 2nd smallest number is 24.
Constraints:
1 <= nums.length <= 100
1 <= nums[i].length <= 100
nums[i]
consists of only digits.- All
nums[i].length
are equal. 1 <= queries.length <= 100
queries[i].length == 2
1 <= ki <= nums.length
1 <= trimi <= nums[i].length
Follow up: Could you use the Radix Sort Algorithm to solve this problem? What will be the complexity of that solution?
Solutions
-
class Solution { public int[] smallestTrimmedNumbers(String[] nums, int[][] queries) { int n = nums.length; int m = queries.length; int[] ans = new int[m]; String[][] t = new String[n][2]; for (int i = 0; i < m; ++i) { int k = queries[i][0], trim = queries[i][1]; for (int j = 0; j < n; ++j) { t[j] = new String[] {nums[j].substring(nums[j].length() - trim), String.valueOf(j)}; } Arrays.sort(t, (a, b) -> { int x = a[0].compareTo(b[0]); return x == 0 ? Long.compare(Integer.valueOf(a[1]), Integer.valueOf(b[1])) : x; }); ans[i] = Integer.valueOf(t[k - 1][1]); } return ans; } }
-
class Solution { public: vector<int> smallestTrimmedNumbers(vector<string>& nums, vector<vector<int>>& queries) { int n = nums.size(); vector<pair<string, int>> t(n); vector<int> ans; for (auto& q : queries) { int k = q[0], trim = q[1]; for (int j = 0; j < n; ++j) { t[j] = {nums[j].substr(nums[j].size() - trim), j}; } sort(t.begin(), t.end()); ans.push_back(t[k - 1].second); } return ans; } };
-
class Solution: def smallestTrimmedNumbers( self, nums: List[str], queries: List[List[int]] ) -> List[int]: ans = [] for k, trim in queries: t = sorted((v[-trim:], i) for i, v in enumerate(nums)) ans.append(t[k - 1][1]) return ans
-
func smallestTrimmedNumbers(nums []string, queries [][]int) []int { type pair struct { s string i int } ans := make([]int, len(queries)) t := make([]pair, len(nums)) for i, q := range queries { for j, s := range nums { t[j] = pair{s[len(s)-q[1]:], j} } sort.Slice(t, func(i, j int) bool { a, b := t[i], t[j]; return a.s < b.s || a.s == b.s && a.i < b.i }) ans[i] = t[q[0]-1].i } return ans }