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most-frequent-number-following-key-in-an-array_2190.py
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most-frequent-number-following-key-in-an-array_2190.py
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# You are given a 0-indexed integer array nums.
# You are also given an integer key, which is present in nums.
# For every unique integer target in nums, count the number of times target
# immediately follows an occurrence of key in nums. In other words, count the number of indices i such that:
# 0 <= i <= nums.length - 2,
# nums[i] == key and,
# nums[i + 1] == target.
# Return the target with the maximum count. The test cases will be generated such that the target with maximum count is unique.
# Example 1:
# Input: nums = [1,100,200,1,100], key = 1
# Output: 100
# Explanation: For target = 100, there are 2 occurrences at indices 1 and 4 which follow an occurrence of key.
# No other integers follow an occurrence of key, so we return 100.
# Example 2:
# Input: nums = [2,2,2,2,3], key = 2
# Output: 2
# Explanation: For target = 2, there are 3 occurrences at indices 1, 2, and 3 which follow an occurrence of key.
# For target = 3, there is only one occurrence at index 4 which follows an occurrence of key.
# target = 2 has the maximum number of occurrences following an occurrence of key, so we return 2.
# ---------------------------------------Runtime 90 ms Beats 78.86% Memory 16.5 MB Beats 69.67%---------------------------------------
from typing import List
# My solution
# Time Complexity O(n)
class Solution:
def mostFrequent(self, nums: List[int], key: int) -> int:
store: dict = dict()
for i in range(len(nums) - 1):
if nums[i] == key:
store[nums[i + 1]] = store.get(nums[i + 1], 0) + 1
return max(store, key=store.get)