Hard
Longest Palindromic Path in Graph — Python
Full explanation · Time O(n^4 * 2^n) · Space O(n + e)
# Time: O(n^4 * 2^n)
# Space: O(n + e)
# bitmasks, dp, freq table
class Solution(object):
def maxLen(self, n, edges, label):
"""
:type n: int
:type edges: List[List[int]]
:type label: str
:rtype: int
"""
def popcount(x):
return bin(x).count('1')
if len(edges) == n*(n-1)//2: # to improve performance
cnt = [0]*26
for x in label:
cnt[ord(x)-ord('a')] += 1
return 2*sum(c//2 for c in cnt)+1*any(c%2 for c in cnt)
adj = [[] for _ in xrange(n)]
for u, v in edges:
adj[u].append(v)
adj[v].append(u)
dp = [[[False]*n for _ in xrange(n)]for _ in xrange(1<<n)]
for u in xrange(n):
dp[1<<u][u][u] = True
for u, v in edges:
if label[u] == label[v]:
dp[(1<<u)|(1<<v)][min(u, v)][max(u, v)] = True
result = 0
for mask in xrange(1, 1<<n):
for u in xrange(n):
for v in xrange(u, n):
if not dp[mask][u][v]:
continue
result = max(result, popcount(mask))
for nu in adj[u]:
if mask&(1<<nu):
continue
for nv in adj[v]:
if mask&(1<<nv):
continue
if nu == nv:
continue
if label[nu] == label[nv]:
dp[mask|(1<<nu)|(1<<nv)][min(nu, nv)][max(nu, nv)] = True
return result