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[10/30] 1293. Shortest Path in a Grid with Obstacles Elimination
본문
Hard
369063Add to ListShareYou are given an m x n
integer matrix grid
where each cell is either 0
(empty) or 1
(obstacle). You can move up, down, left, or right from and to an empty cell in one step.
Return the minimum number of steps to walk from the upper left corner (0, 0)
to the lower right corner (m - 1, n - 1)
given that you can eliminate at most k
obstacles. If it is not possible to find such walk return -1
.
Example 1:
Input: grid = [[0,0,0],[1,1,0],[0,0,0],[0,1,1],[0,0,0]], k = 1 Output: 6 Explanation: The shortest path without eliminating any obstacle is 10. The shortest path with one obstacle elimination at position (3,2) is 6. Such path is (0,0) -> (0,1) -> (0,2) -> (1,2) -> (2,2) -> (3,2) -> (4,2).
Example 2:
Input: grid = [[0,1,1],[1,1,1],[1,0,0]], k = 1 Output: -1 Explanation: We need to eliminate at least two obstacles to find such a walk.
Constraints:
m == grid.length
n == grid[i].length
1 <= m, n <= 40
1 <= k <= m * n
grid[i][j]
is either0
or1
.grid[0][0] == grid[m - 1][n - 1] == 0
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Runtime: 1968 ms, faster than 20.02% of Python3 online submissions for Shortest Path in a Grid with Obstacles Elimination.
Memory Usage: 22.3 MB, less than 17.89% of Python3 online submissions for Shortest Path in a Grid with Obstacles Elimination.
Memory Usage: 22.3 MB, less than 17.89% of Python3 online submissions for Shortest Path in a Grid with Obstacles Elimination.
from collections import deque
class Solution:
def shortestPath(self, grid: List[List[int]], k: int) -> int:
ROW, COL = len(grid), len(grid[0])
queue = deque([(0,0,k,0)])
visited = set((0,0,k))
directions = [(0,1),(1,0), (0,-1),(-1,0)]
while queue:
r, c, curr_k, steps = queue.popleft()
if (r,c) == (ROW-1, COL-1): return steps
for rdir, cdir in directions:
nr, nc = r+rdir, c+cdir
if 0<=nr<ROW and 0<=nc<COL:
new_k = curr_k - grid[nr][nc]
if new_k >=0 and (nr,nc,new_k) not in visited:
visited.add((nr,nc,new_k))
queue.append((nr,nc,new_k,steps+1))
return -1