class Solution: def majorityElement (self, nums: List[int]) -> int: 2 if len(nums) % 2 == 1: count = nums.count(nums [0]) if count > len(nums) // 2: return nums[0] else: 3 5 6. 7 8 nums.pop(0) temp =...

For the second picture Can you fix the loop for the algorithm in pythonclass Solution:<br>def majorityElement (self, nums: List[int]) -> int:<br>2<br>if len(nums) % 2 == 1:<br>count = nums.count(nums [0])<br>if count > len(nums) // 2:<br>return nums[0]<br>else:<br>3<br>5<br>6.<br>7<br>8<br>nums.pop(0)<br>temp = []<br>for i in range(0, len(nums), 2):<br>if nums[i] == nums[i + 1]:<br>10<br>11 -<br>12<br>temp.append(nums [i])<br>x = self.majorityElement(temp)<br>if nums.count(x) > len(nums) // 2:<br>13<br>14<br>15<br>return x<br>16<br>else:<br>17<br>return False<br>

Extracted text: class Solution: def majorityElement (self, nums: List[int]) -> int: 2 if len(nums) % 2 == 1: count = nums.count(nums [0]) if count > len(nums) // 2: return nums[0] else: 3 5 6. 7 8 nums.pop(0) temp = [] for i in range(0, len(nums), 2): if nums[i] == nums[i + 1]: 10 11 - 12 temp.append(nums [i]) x = self.majorityElement(temp) if nums.count(x) > len(nums) // 2: 13 14 15 return x 16 else: 17 return False
ull T-Mobile<br>11:21 PM<br>22%<br>E LeetCode<br>* Pick One<br>Given an array nums of size n, return the majority<br>element.<br>The majority element is the element that appears<br>more than [n / 2] times. You may assume that<br>the majority element always exists in the array.<br>Example 1:<br>Input: nums =<br>[3,2,3]<br>Output: 3<br>Example 2:<br>Input: nums =<br>Output: 2<br>[2,2,1,1,1,2,2]<br>AA<br>leetcode.com<br>

Extracted text: ull T-Mobile 11:21 PM 22% E LeetCode * Pick One 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 = Output: 2 [2,2,1,1,1,2,2] AA leetcode.com

Jun 05, 2022
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