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十八. 并查集


模板

class UnionFind:
def __init__(self):
"""
记录每个节点的父节点
"""
self.father = {}

def find(self,x):
"""
查找根节点
路径压缩
"""
root = x

while self.father[root] != None:
root = self.father[root]

# 路径压缩
while x != root:
original_father = self.father[x]
self.father[x] = root
x = original_father

return root

def merge(self,x,y,val):
"""
合并两个节点
"""
root_x,root_y = self.find(x),self.find(y)

if root_x != root_y:
self.father[root_x] = root_y

def is_connected(self,x,y):
"""
判断两节点是否相连
"""
return self.find(x) == self.find(y)

def add(self,x):
"""
添加新节点
"""
if x not in self.father:
self.father[x] = None

​​399. 除法求值​​

​​剑指 Offer II 111. 计算除法​​

class UnionFind:
def __init__(self):
"""
记录每个节点的父节点
记录每个节点到根节点的权重
"""
self.father = {}
self.value = {}

def find(self,x):
"""
查找根节点
路径压缩
更新权重
"""
root = x
# 节点更新权重的时候要放大的倍数
base = 1
while self.father[root] != None:
root = self.father[root]
base *= self.value[root]

while x != root:
original_father = self.father[x]
##### 离根节点越远,放大的倍数越高
self.value[x] *= base
base /= self.value[original_father]
#####
self.father[x] = root
x = original_father

return root

def merge(self,x,y,val):
"""
合并两个节点
"""
root_x,root_y = self.find(x),self.find(y)

if root_x != root_y:
self.father[root_x] = root_y
##### 四边形法则更新根节点的权重
self.value[root_x] = self.value[y] * val / self.value[x]

def is_connected(self,x,y):
"""
两节点是否相连
"""
return x in self.value and y in self.value and self.find(x) == self.find(y)

def add(self,x):
"""
添加新节点,初始化权重为1.0
"""
if x not in self.father:
self.father[x] = None
self.value[x] = 1.0


class Solution:
def calcEquation(self, equations: List[List[str]], values: List[float], queries: List[List[str]]) -> List[float]:
uf = UnionFind()
for (a,b),val in zip(equations,values):
uf.add(a)
uf.add(b)
uf.merge(a,b,val)

res = [-1.0] * len(queries)

for i,(a,b) in enumerate(queries):
if uf.is_connected(a,b):
res[i] = uf.value[a] / uf.value[b]
return res

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