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169. Majority Element

169. Majority Element

Easy


Given an array nums of size n, return the majority element.

The majority element is the element that appears more than ⌊n / 2⌋ times. You may assume that the majority element always exists in the array.

 

Example 1:

Input: nums = [3,2,3]
Output: 3

Example 2:

Input: nums = [2,2,1,1,1,2,2]
Output: 2

 

Constraints:

  • n == nums.length
  • 1 <= n <= 5 * 104
  • -109 <= nums[i] <= 109

 

Follow-up: Could you solve the problem in linear time and in O(1) space?

 class Solution:
    def majorityElement(self, nums: List[int]) -> int:
        # c = Counter(nums)
        # return c.most_common()[0][0]

        count = 0
        candidate = None
        for num in nums:
            if count == 0:
                candidate = num
            count += (1 if num == candidate else -1)
        return candidate

time.perf_counter() always returns the float value of time in seconds. while pref_counter_ns() always gives the integer value of time in nanoseconds.


t1_start = perf_counter()
t1_stop = perf_counter()
print("Elapsed time:", t1_stop, t1_start)
Python
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