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detect-cycles-in-2d-grid.py
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detect-cycles-in-2d-grid.py
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# Time: O(m * n * α(n)) ~= O(m * n)
# Space: O(m * n)
class UnionFind(object):
def __init__(self, n):
self.set = range(n)
self.count = n
def find_set(self, x):
if self.set[x] != x:
self.set[x] = self.find_set(self.set[x]) # path compression.
return self.set[x]
def union_set(self, x, y):
x_root, y_root = map(self.find_set, (x, y))
if x_root != y_root:
self.set[min(x_root, y_root)] = max(x_root, y_root)
self.count -= 1
class Solution(object):
def containsCycle(self, grid):
"""
:type grid: List[List[str]]
:rtype: bool
"""
def index(n, i, j):
return i*n + j
union_find = UnionFind(len(grid)*len(grid[0]))
for i in xrange(len(grid)):
for j in xrange(len(grid[0])):
if i and j and grid[i][j] == grid[i-1][j] == grid[i][j-1] and \
union_find.find_set(index(len(grid[0]), i-1, j)) == \
union_find.find_set(index(len(grid[0]), i, j-1)):
return True
if i and grid[i][j] == grid[i-1][j]:
union_find.union_set(index(len(grid[0]), i-1, j),
index(len(grid[0]),i, j))
if j and grid[i][j] == grid[i][j-1]:
union_find.union_set(index(len(grid[0]), i, j-1),
index(len(grid[0]), i, j))
return False
# Time: O(m * n)
# Space: O(m * n)
class Solution2(object):
def containsCycle(self, grid):
"""
:type grid: List[List[str]]
:rtype: bool
"""
directions = [(0, 1), (1, 0), (0, -1), (-1, 0)]
for i in xrange(len(grid)):
for j in xrange(len(grid[0])):
if not grid[i][j]:
continue
val = grid[i][j]
q = [(i, j)]
while q:
new_q = []
for r, c in q:
if not grid[r][c]:
return True
grid[r][c] = 0
for dr, dc in directions:
nr, nc = r+dr, c+dc
if not (0 <= nr < len(grid) and
0 <= nc < len(grid[0]) and
grid[nr][nc] == val):
continue
new_q.append((nr, nc))
q = new_q
return False