使用联合查找结构,您可以在O(num letters + num numbers)
. 关键思想是您可以将字母连接到他们的数字列表。一旦你对所有字母都这样做了,你就会自动拥有所需属性的联合(即集群)。
class UnionFind:
def __init__(self):
self.id = {}
self.size = {}
def find(self, a):
cur = a
path = []
while self.id[cur] != cur:
path.append(cur)
cur = self.id[cur]
for x in path:
self.id[x] = cur
return cur
def union(self, a, b):
if a not in self.id:
self.id[a] = a
self.size[a] = 1
if b not in self.id:
self.id[b] = b
self.size[b] = 1
roota, rootb = self.find(a), self.find(b)
if roota != rootb:
if self.size[roota] > self.size[rootb]:
roota, rootb = rootb, roota
self.id[roota] = rootb
self.size[rootb] += self.size[roota]
if __name__ == "__main__":
from collections import defaultdict
uf = UnionFind()
connected = {
'A': [1, 2, 3],
'B': [3, 4],
'C': [5, 6],
}
for letter, numbers in connected.items():
for number in numbers:
uf.union(letter, number)
clusters = defaultdict(list)
for key, cluster_id in uf.id.items():
clusters[cluster_id].append(key)
formatted_clusters = {}
for i, cluster_elements in enumerate(clusters.values()):
letters = [e for e in cluster_elements if isinstance(e, str)]
numbers = [e for e in cluster_elements if not isinstance(e, str)]
key = str(i+1)
formatted_clusters[key] = {
"letters": letters,
"numbers": numbers
}
print(formatted_clusters)
输出:
{'1': {'letters': ['A', 'B'], 'numbers': [1, 2, 3, 4]}, '2': {'letters': ['C'], 'numbers': [5, 6]}}