Description
You are given a non-negative integer array nums. In one operation, you must:
- Choose a positive integer
xsuch thatxis less than or equal to the smallest non-zero element innums. - Subtract
xfrom every positive element innums.
Return the minimum number of operations to make every element in nums equal to 0.
Example 1:
Input: nums = [1,5,0,3,5] Output: 3 Explanation: In the first operation, choose x = 1. Now, nums = [0,4,0,2,4]. In the second operation, choose x = 2. Now, nums = [0,2,0,0,2]. In the third operation, choose x = 2. Now, nums = [0,0,0,0,0].
Example 2:
Input: nums = [0] Output: 0 Explanation: Each element in nums is already 0 so no operations are needed.
Constraints:
1 <= nums.length <= 1000 <= nums[i] <= 100
Solutions
Solution 1: Hash Table or Array
We observe that in each operation, all identical nonzero elements in the array nums can be reduced to 0. Therefore, we only need to count the number of distinct nonzero elements in nums, which is the minimum number of operations required. To count the distinct nonzero elements, we can use a hash table or an array.
The time complexity is O(n), and the space complexity is O(n), where n is the length of the array nums.
PythonJavaC++GoTypeScriptRustC
class Solution: def minimumOperations(self, nums: List[int]) -> int: return len({x for x in nums if x})(code-box)
