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Create top_k_frequent.py #78

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10 changes: 10 additions & 0 deletions top_k_frequent.py
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from collections import Counter
import heapq

def top_k_frequent(nums, k):
freq = Counter(nums)
return [item for item, _ in heapq.nlargest(k, freq.items(), key=lambda x: x[1])]

nums = [1, 1, 2, 2, 3]
k = 2
print(top_k_frequent(nums, k))