Patching Array — LeetCode 330 Python Solution
- Problem
- #330
- Pattern
- Greedy
- Reading time
- 2 min
- Source
- leetcode.com
The problem
Given a sorted integer array nums and an integer n, add/patch elements to the array such that any number in the range [1, n] inclusive can be formed by the sum of some elements in the array. Return the minimum number of patches required.
Example
- Input
- nums = [1,3], n = 6
- Output
- 1
- Explanation
- Combinations of nums are [1], [3], [1,3], which form possible sums of: 1, 3, 4.
Python solution
class Solution:
def minPatches(self, nums: List[int], n: int) -> int:
x = 1
ans = i = 0
while x <= n:
if i < len(nums) and nums[i] <= x:
x += nums[i]
i += 1
else:
ans += 1
x <<= 1
return ansComplexity
| Measure | Complexity |
|---|---|
| Time | O(m + \log n), where m is the length of the array nums |
| Space | O(1) auxiliary |
Pattern: Greedy
Take the locally best option every time — when you can prove that never costs you later. LeetCode 330. Patching Array is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Greedy.
The greedy guide has the Python template for the pattern and the 346 LeetCode problems that use it.
Related problems
Frequently asked questions
- How hard is LeetCode 330. Patching Array?
- LeetCode 330. Patching Array is rated Hard on LeetCode.
- What is the time complexity of LeetCode 330. Patching Array?
- The Python solution on this page runs in O(m + \log n), where m is the length of the array nums.
- What is the space complexity of LeetCode 330. Patching Array?
- The Python solution on this page uses O(1) auxiliary space.
- What topics does LeetCode 330. Patching Array cover?
- LeetCode 330. Patching Array is tagged Greedy and Array on LeetCode.