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.length
m == operations.length
1 <= n, m <= 10^5
All the values of
nums
are distinct.operations[i].length == 2
1 <= nums[i], operations[i][0], operations[i][1] <= 10^6
operations[i][0]
will exist innums
when applying theith
operation.operations[i][1]
will not exist innums
when applying theith
operation.
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).