417. Pacific Atlantic Water Flow
Description
There is an m x n
rectangular island that borders both the Pacific Ocean and Atlantic Ocean. The Pacific Ocean touches the island's left and top edges, and the Atlantic Ocean touches the island's right and bottom edges.
The island is partitioned into a grid of square cells. You are given an m x n
integer matrix heights
where heights[r][c]
represents the height above sea level of the cell at coordinate (r, c)
.
The island receives a lot of rain, and the rain water can flow to neighboring cells directly north, south, east, and west if the neighboring cell's height is less than or equal to the current cell's height. Water can flow from any cell adjacent to an ocean into the ocean.
Return a 2D list of grid coordinates result
where result[i] = [ri, ci]
denotes that rain water can flow from cell (ri, ci)
to both the Pacific and Atlantic oceans.
Example 1:
Input: heights = [[1,2,2,3,5],[3,2,3,4,4],[2,4,5,3,1],[6,7,1,4,5],[5,1,1,2,4]] Output: [[0,4],[1,3],[1,4],[2,2],[3,0],[3,1],[4,0]] Explanation: The following cells can flow to the Pacific and Atlantic oceans, as shown below: [0,4]: [0,4] -> Pacific Ocean [0,4] -> Atlantic Ocean [1,3]: [1,3] -> [0,3] -> Pacific Ocean [1,3] -> [1,4] -> Atlantic Ocean [1,4]: [1,4] -> [1,3] -> [0,3] -> Pacific Ocean [1,4] -> Atlantic Ocean [2,2]: [2,2] -> [1,2] -> [0,2] -> Pacific Ocean [2,2] -> [2,3] -> [2,4] -> Atlantic Ocean [3,0]: [3,0] -> Pacific Ocean [3,0] -> [4,0] -> Atlantic Ocean [3,1]: [3,1] -> [3,0] -> Pacific Ocean [3,1] -> [4,1] -> Atlantic Ocean [4,0]: [4,0] -> Pacific Ocean [4,0] -> Atlantic Ocean Note that there are other possible paths for these cells to flow to the Pacific and Atlantic oceans.
Example 2:
Input: heights = [[1]] Output: [[0,0]] Explanation: The water can flow from the only cell to the Pacific and Atlantic oceans.
Constraints:
m == heights.length
n == heights[r].length
1 <= m, n <= 200
0 <= heights[r][c] <= 105
Solution
class Solution:
def pacificAtlantic(self, matrix: List[List[int]]) -> List[List[int]]:
if not matrix: return []
rows, cols = len(matrix), len(matrix[0])
res = []
p_visited = [[False for _ in range(cols)] for _ in range(rows)]
a_visited = [[False for _ in range(cols)] for _ in range(rows)]
def dfs(i, j, visited):
visited[i][j] = True
for dx,dy in ((i+1, j), (i-1, j), (i, j-1), (i, j+1)):
if 0 <= dx < rows and 0 <= dy < cols and matrix[dx][dy] >= matrix[i][j] and not visited[dx][dy]:
dfs(dx, dy, visited)
for i in range(rows):
dfs(i, 0, p_visited)
dfs(i, cols - 1, a_visited)
for j in range(cols):
dfs(0, j, p_visited)
dfs(rows - 1, j, a_visited)
for i in range(rows):
for j in range(cols):
if a_visited[i][j] and p_visited[i][j]:
res.append([i,j])
return res