题目

Given an array of integers nums and an integer k, return the number of unique k-diff pairs in the array.

A k-diff pair is an integer pair (nums[i], nums[j]), where the following are true:

  • 0 <= i, j < nums.length
  • i != j
  • a <= b
  • b - a == k

Example 1:

  1. Input: nums = [3,1,4,1,5], k = 2
  2. Output: 2
  3. Explanation: There are two 2-diff pairs in the array, (1, 3) and (3, 5).
  4. Although we have two 1s in the input, we should only return the number of unique pairs.

Example 2:

  1. Input: nums = [1,2,3,4,5], k = 1
  2. Output: 4
  3. Explanation: There are four 1-diff pairs in the array, (1, 2), (2, 3), (3, 4) and (4, 5).

Example 3:

  1. Input: nums = [1,3,1,5,4], k = 0
  2. Output: 1
  3. Explanation: There is one 0-diff pair in the array, (1, 1).

Example 4:

  1. Input: nums = [1,2,4,4,3,3,0,9,2,3], k = 3
  2. Output: 2

Example 5:

  1. Input: nums = [-1,-2,-3], k = 1
  2. Output: 2

Constraints:

  • 1 <= nums.length <= 104
  • -107 <= nums[i] <= 107
  • 0 <= k <= 107

题意

在数组中找到满足条件的不重复的数对对数。

思路

  1. 先排序,再对于每一个不重复的数字,用二分法找对应的数;
  2. 先存入Hash表,再找成对的数,注意k=0的情况。

代码实现

Java

二分搜索

  1. class Solution {
  2. public int findPairs(int[] nums, int k) {
  3. int ans = 0;
  4. Arrays.sort(nums);
  5. for (int i = 0; i < nums.length; i++) {
  6. if (i > 0 && nums[i] == nums[i - 1]) {
  7. continue;
  8. }
  9. ans += search(nums, i + 1, nums[i] + k) ? 1 : 0;
  10. }
  11. return ans;
  12. }
  13. private boolean search(int[] nums, int index, int target) {
  14. if (index == nums.length) {
  15. return false;
  16. }
  17. int left = index, right = nums.length - 1;
  18. while (left <= right) {
  19. int mid = (right - left) / 2 + left;
  20. if (nums[mid] < target) {
  21. left = mid + 1;
  22. } else if (nums[mid] > target) {
  23. right = mid - 1;
  24. } else {
  25. return true;
  26. }
  27. }
  28. return false;
  29. }
  30. }

Hash

  1. class Solution {
  2. public int findPairs(int[] nums, int k) {
  3. int ans = 0;
  4. Map<Integer, Integer> hash = new HashMap<>();
  5. for (int num : nums) {
  6. hash.put(num, hash.getOrDefault(num, 0) + 1);
  7. }
  8. for (int num : hash.keySet()) {
  9. ans += k == 0 ? hash.get(num) >= 2 ? 1 : 0 : hash.containsKey(num + k) ? 1 : 0;
  10. }
  11. return ans;
  12. }
  13. }