Maximum Equal Frequency — LeetCode 1224 Python Solution

The problem

Given an array nums of positive integers, return the longest possible length of an array prefix of nums, such that it is possible to remove exactly one element from this prefix so that every number that has appeared in it will have the same number of occurrences. If after removing one element there are no remaining elements, it's still considered that every appeared number has the same number of ocurrences (0).

Example

Input

nums = [2,2,1,1,5,3,3,5]

Output

7

Explanation

For the subarray [2,2,1,1,5,3,3] of length 7, if we remove nums[4] = 5, we will get [2,2,1,1,3,3], so that each number will appear exactly twice.

Python solution

class Solution:
    def maxEqualFreq(self, nums: List[int]) -> int:
        cnt = Counter()
        ccnt = Counter()
        ans = mx = 0
        for i, v in enumerate(nums, 1):
            if v in cnt:
                ccnt[cnt[v]] -= 1
            cnt[v] += 1
            mx = max(mx, cnt[v])
            ccnt[cnt[v]] += 1
            if mx == 1:
                ans = i
            elif ccnt[mx] * mx + ccnt[mx - 1] * (mx - 1) == i and ccnt[mx] == 1:
                ans = i
            elif ccnt[mx] * mx + 1 == i and ccnt[1] == 1:
                ans = i
        return ans

Complexity

Pattern: Hash Map

Trade memory for time: remember what you have seen so the second pass never happens. LeetCode 1224. Maximum Equal Frequency is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Hash Table.

The hash map guide has the Python template for the pattern and the 709 LeetCode problems that use it.

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