Description
You are given a 0-indexed array nums consisting of positive integers.
There are two types of operations that you can apply on the array any number of times:
- Choose two elements with equal values and delete them from the array.
- Choose three elements with equal values and delete them from the array.
Return the minimum number of operations required to make the array empty, or -1 if it is not possible.
Example 1:
Input: nums = [2,3,3,2,2,4,2,3,4] Output: 4 Explanation: We can apply the following operations to make the array empty: - Apply the first operation on the elements at indices 0 and 3. The resulting array is nums = [3,3,2,4,2,3,4]. - Apply the first operation on the elements at indices 2 and 4. The resulting array is nums = [3,3,4,3,4]. - Apply the second operation on the elements at indices 0, 1, and 3. The resulting array is nums = [4,4]. - Apply the first operation on the elements at indices 0 and 1. The resulting array is nums = []. It can be shown that we cannot make the array empty in less than 4 operations.
Example 2:
Input: nums = [2,1,2,2,3,3] Output: -1 Explanation: It is impossible to empty the array.
Constraints:
2 <= nums.length <= 1051 <= nums[i] <= 106
Note: This question is the same as 2244: Minimum Rounds to Complete All Tasks.
Solutions
Solution 1: Hash Table + Greedy
We use a hash table count to count the number of occurrences of each element in the array. Then we traverse the hash table. For each element x, if it appears c times, we can perform \lfloor c+2⁄3 \rfloor operations to delete x. Finally, we return the sum of the number of operations for all elements.
The time complexity is O(n), where n is the length of the array. The space complexity is O(n).
class Solution: def minOperations(self, nums: List[int]) -> int: count = Counter(nums) ans = 0 for c in count.values(): if c == 1: return -1 ans += (c + 2) // 3 return ans(code-box)
