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First completed : August 10, 2024
Last updated : August 10, 2024
Related Topics : Array, Hash Table, Depth-First Search, Breadth-First Search, Union Find, Matrix
Acceptance Rate : 77.83 %
This program has many areas that can be optimized but I am on vacation away from home so completion efficiency was prioritized.
class Solution:
def regionsBySlashes(self, grid: List[str]) -> int:
def dfs(r: int,
c: int,
qaud: str,
visited: Set[Tuple[int, int, int]],
grid: List[str]) -> None :
if not (0 <= r < len(grid)) or not (0 <= c < len(grid[0])) :
return
if (r, c) in visited :
return
if (r, c, qaud) in visited :
return
if grid[r][c] == ' ' :
visited.add((r, c))
dfs(r - 1, c, 'D', visited, grid)
dfs(r + 1, c, 'U', visited, grid)
dfs(r, c - 1, 'R', visited, grid)
dfs(r, c + 1, 'L', visited, grid)
return
visited.add((r, c, qaud))
if grid[r][c] == '/' :
if qaud == 'U' or qaud == 'L' :
dfs(r, c, 'U', visited, grid)
dfs(r, c, 'L', visited, grid)
dfs(r, c - 1, 'R', visited, grid)
dfs(r - 1, c, 'D', visited, grid)
else :
dfs(r, c, 'D', visited, grid)
dfs(r, c, 'R', visited, grid)
dfs(r, c + 1, 'L', visited, grid)
dfs(r + 1, c, 'U', visited, grid)
else : # \\
if qaud == 'U' or qaud == 'R' :
dfs(r, c, 'U', visited, grid)
dfs(r, c, 'R', visited, grid)
dfs(r, c + 1, 'L', visited, grid)
dfs(r - 1, c, 'D', visited, grid)
else : # L/D
dfs(r, c, 'L', visited, grid)
dfs(r, c, 'D', visited, grid)
dfs(r, c - 1, 'R', visited, grid)
dfs(r + 1, c, 'U', visited, grid)
grid = [x.replace('\\', '.') for x in grid]
visited = set()
counter = 0
for r in range(len(grid)) :
for c in range(len(grid[0])) :
for i in ['R', 'L', 'U', 'D'] :
if (r, c, i) in visited or (r, c) in visited:
continue
counter += 1
dfs(r, c, i, visited, grid)
return counter