Problem
You are given a 0-indexed array nums that consists of n distinct positive integers. Apply m operations to this array, where in the ith operation you replace the number operations[i][0] with operations[i][1].
It is guaranteed that in the ith operation:
operations[i][0]exists innums.operations[i][1]does not exist innums.
Return the array obtained after applying all the operations.
Example 1:
Input: nums = [1,2,4,6], operations = [[1,3],[4,7],[6,1]]
Output: [3,2,7,1]
Explanation: We perform the following operations on nums:
- Replace the number 1 with 3. nums becomes [3,2,4,6].
- Replace the number 4 with 7. nums becomes [3,2,7,6].
- Replace the number 6 with 1. nums becomes [3,2,7,1].
We return the final array [3,2,7,1].
Example 2:
Input: nums = [1,2], operations = [[1,3],[2,1],[3,2]]
Output: [2,1]
Explanation: We perform the following operations to nums:
- Replace the number 1 with 3. nums becomes [3,2].
- Replace the number 2 with 1. nums becomes [3,1].
- Replace the number 3 with 2. nums becomes [2,1].
We return the array [2,1].
Constraints:
n == nums.lengthm == operations.length1 <= n, m <= 10^5All the values of
numsare distinct.operations[i].length == 21 <= nums[i], operations[i][0], operations[i][1] <= 10^6operations[i][0]will exist innumswhen applying theithoperation.operations[i][1]will not exist innumswhen applying theithoperation.
Solution (Java)
class Solution {
public int[] arrayChange(int[] nums, int[][] operations) {
HashMap<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
map.put(nums[i], i);
}
for (int[] operation : operations) {
int index = map.get(operation[0]);
nums[index] = operation[1];
map.put(operation[1], index);
}
return nums;
}
}
Explain:
nope.
Complexity:
- Time complexity : O(n).
- Space complexity : O(n).