Contiguous Array — LeetCode 525 Python Solution
MediumArrayHash TablePrefix Sum
- Problem
- #525
- Pattern
- Prefix Sum
- Reading time
- 2 min
- Source
- leetcode.com
The problem
Given a binary array nums, return the maximum length of a contiguous subarray with an equal number of 0 and 1.
Example
- Input
- nums = [0,1]
- Output
- 2
- Explanation
- [0, 1] is the longest contiguous subarray with an equal number of 0 and 1.
Python solution
Python
class Solution:
def findMaxLength(self, nums: List[int]) -> int:
d = {0: -1}
ans = s = 0
for i, x in enumerate(nums):
s += 1 if x else -1
if s in d:
ans = max(ans, i - d[s])
else:
d[s] = i
return ansComplexity
| Measure | Complexity |
|---|---|
| Time | O(n) |
| Space | O(n), where n is the length of the array auxiliary |
Pattern: Prefix Sum
Precompute running totals once so any range query becomes a single subtraction. LeetCode 525. Contiguous Array is filed here because LeetCode tags it Prefix Sum, which is the vocabulary this hub collects.
The prefix sum guide has the Python template for the pattern and the 157 LeetCode problems that use it.
Related problems
Frequently asked questions
- How hard is LeetCode 525. Contiguous Array?
- LeetCode 525. Contiguous Array is rated Medium on LeetCode.
- What is the time complexity of LeetCode 525. Contiguous Array?
- The Python solution on this page runs in O(n).
- What is the space complexity of LeetCode 525. Contiguous Array?
- The Python solution on this page uses O(n), where n is the length of the array auxiliary space.
- What topics does LeetCode 525. Contiguous Array cover?
- LeetCode 525. Contiguous Array is tagged Array, Hash Table and Prefix Sum on LeetCode.