Most Stones Removed with Same Row or Column
On a 2D plane, we place stones at some integer coordinate points. Each coordinate point may have at most one stone.
Now, a_move_consists of removing a stone that shares a column or row with another stone on the grid.
What is the largest possible number of moves we can make?
Example 1:
Input:
stones =
[[0,0],[0,1],[1,0],[1,2],[2,1],[2,2]]
Output:
5
Example 2:
Input:
stones =
[[0,0],[0,2],[1,1],[2,0],[2,2]]
Output:
3
Example 3:
Input:
stones =
[[0,0]]
Output:
0
Note:
1 <= stones.length <= 1000
0 <= stones[i][j] < 10000
分析
每个石头把行列连起来变成一个岛,答案就是移到每个岛只剩一个石头。
这里DFS就是loop每个点,把行列连起来。 优化是把行列范围打散,行在1-N,j+10000列在N-2N,区分行列。
简单把i,j当做数字相连就好,就能理解打散区间的做法
参考https://www.jianshu.com/p/30d2058db7f7
DFS
class Solution:
def removeStones(self, stones: List[List[int]]) -> int:
index = collections.defaultdict(set)
for i, j in stones:
index[i].add(j+10000)
index[j+10000].add(i)
seen = set()
islands = 0
def dfs(i):
seen.add(i)
for j in index[i]:
if j not in seen:
dfs(j)
for i,j in stones:
if i not in seen:
dfs(i) #i里的cols 全部相连
dfs(j+10000)#i里的rows 全部相连
islands += 1
return len(stones) - islands
Union Find
UNION FIND (i,~j)也是,等于把j映射到j+10000。~j是补码,就是二进制code倒过来。
class Solution:
def removeStones(self, stones: List[List[int]]) -> int:
f = {}
def find(x):
if f[x]!=x:
f[x] = find(f[x])
return f[x]
def union(x,y):
f.setdefault(x,x)
f.setdefault(y,y)
f[find(x)] = find(y)
for x,y in stones:
union(x,~y)
return len(stones) - len({find(x) for x in f})#点数-岛数
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