Hard
Incremental Even-Weighted Cycle Queries — Python
Full explanation · Time O(n + e) · Space O(n)
# Time: O(n + e)
# Space: O(n)
# union find
class Solution(object):
def numberOfEdgesAdded(self, n, edges):
"""
:type n: int
:type edges: List[List[int]]
:rtype: int
"""
class UnionFind(object): # Time: O(n * alpha(n)), Space: O(n)
def __init__(self, n):
self.set = range(n)
self.rank = [0]*n
self.parity = [0]*n # added
def find_set(self, x):
stk = []
while self.set[x] != x: # path compression
stk.append(x)
x = self.set[x]
prev = self.parity[x] # added
while stk:
self.parity[stk[-1]] ^= prev # added
prev = self.parity[stk[-1]] # added
self.set[stk.pop()] = x
return x
def union_set(self, x, y, w):
x0, y0 = x, y
x, y = self.find_set(x), self.find_set(y)
if x == y:
return self.parity[x0]^w^self.parity[y0] == 0 # modified
if self.rank[x] > self.rank[y]: # union by rank
x, y = y, x
elif self.rank[x] == self.rank[y]:
self.rank[y] += 1
self.set[x] = self.set[y]
self.parity[x] = self.parity[x0]^w^self.parity[y0] # added
return True
uf = UnionFind(n)
return sum(uf.union_set(u, v, w) for u, v, w in edges)