Add solution: top K frequent elements
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algocode/hash_tables/top_k_frequent_elements.py
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algocode/hash_tables/top_k_frequent_elements.py
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from typing import List
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from collections import defaultdict
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class Solution:
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def topKFrequent(self, nums: List[int], k: int) -> List[int]:
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res = []
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count_elems = defaultdict(int)
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count_in = { i: set() for i in range(0, len(nums) + 1) }
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for i in range(0, len(nums)):
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cur_char = nums[i]
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count_elems[cur_char] += 1
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tmp_value = count_elems[cur_char]
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count_in[tmp_value].add(cur_char)
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count_in[tmp_value - 1].discard(cur_char)
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# Начинаем обход count_in с самого большого значения вхождений
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for i in range(len(nums), 0, -1):
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# Если есть элементы - записываем их в массив res
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while len(count_in[i]) > 0:
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res.append(count_in[i].pop())
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# Уменьшаем значение k
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k -=1
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if k == 0:
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return res
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return res
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cl = Solution()
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print(cl.topKFrequent(nums=[1,1,1,2,2,3], k = 2))
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print(cl.topKFrequent(nums=[1], k = 1))
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print(cl.topKFrequent(nums = [1,2,1,2,1,2,3,1,3,2], k = 2))
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