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2465. Number of Distinct Averages

Description

You are given a 0-indexed integer array nums of even length.

As long as nums is not empty, you must repetitively:

  • Find the minimum number in nums and remove it.
  • Find the maximum number in nums and remove it.
  • Calculate the average of the two removed numbers.

The average of two numbers a and b is (a + b) / 2.

  • For example, the average of 2 and 3 is (2 + 3) / 2 = 2.5.

Return the number of distinct averages calculated using the above process.

Note that when there is a tie for a minimum or maximum number, any can be removed.

 

Example 1:

 Input: nums = [4,1,4,0,3,5] Output: 2 Explanation: 1. Remove 0 and 5, and the average is (0 + 5) / 2 = 2.5. Now, nums = [4,1,4,3]. 2. Remove 1 and 4. The average is (1 + 4) / 2 = 2.5, and nums = [4,3]. 3. Remove 3 and 4, and the average is (3 + 4) / 2 = 3.5. Since there are 2 distinct numbers among 2.5, 2.5, and 3.5, we return 2. 

Example 2:

 Input: nums = [1,100] Output: 1 Explanation: There is only one average to be calculated after removing 1 and 100, so we return 1. 

 

Constraints:

  • 2 <= nums.length <= 100
  • nums.length is even.
  • 0 <= nums[i] <= 100

Solutions

Solution 1: Sorting

The problem requires us to find the minimum and maximum values in the array $nums$ each time, delete them, and then calculate the average of the two deleted numbers. Therefore, we can first sort the array $nums$, then take the first and last elements of the array each time, calculate their sum, use a hash table or array $cnt$ to record the number of times each sum appears, and finally count the number of different sums.

The time complexity is $O(n \times \log n)$, and the space complexity is $O(n)$. Here, $n$ is the length of the array $nums$.

  • class Solution { public int distinctAverages(int[] nums) { Arrays.sort(nums); Set<Integer> s = new HashSet<>(); int n = nums.length; for (int i = 0; i < n >> 1; ++i) { s.add(nums[i] + nums[n - i - 1]); } return s.size(); } } 
  • class Solution { public: int distinctAverages(vector<int>& nums) { sort(nums.begin(), nums.end()); unordered_set<int> s; int n = nums.size(); for (int i = 0; i < n >> 1; ++i) { s.insert(nums[i] + nums[n - i - 1]); } return s.size(); } }; 
  • class Solution: def distinctAverages(self, nums: List[int]) -> int: nums.sort() return len(set(nums[i] + nums[-i - 1] for i in range(len(nums) >> 1))) 
  • func distinctAverages(nums []int) (ans int) { sort.Ints(nums) n := len(nums) s := map[int]struct{}{} for i := 0; i < n>>1; i++ { s[nums[i]+nums[n-i-1]] = struct{}{} } return len(s) } 
  • function distinctAverages(nums: number[]): number { nums.sort((a, b) => a - b); const s: Set<number> = new Set(); const n = nums.length; for (let i = 0; i < n >> 1; ++i) { s.add(nums[i] + nums[n - i - 1]); } return s.size; } 
  • impl Solution { pub fn distinct_averages(nums: Vec<i32>) -> i32 { let mut nums = nums; nums.sort(); let n = nums.len(); let mut cnt = vec![0; 201]; let mut ans = 0; for i in 0..n >> 1 { let x = (nums[i] + nums[n - i - 1]) as usize; cnt[x] += 1; if cnt[x] == 1 { ans += 1; } } ans } } 

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