LeetCode 1391. Check if There is a Valid Path in a Grid Solution in Java, C++, Python & Go | Explanation + Code

CoderIndeed
0
1391. Check if There is a Valid Path in a Grid

Description

You are given an m x n grid. Each cell of grid represents a street. The street of grid[i][j] can be:

  • 1 which means a street connecting the left cell and the right cell.
  • 2 which means a street connecting the upper cell and the lower cell.
  • 3 which means a street connecting the left cell and the lower cell.
  • 4 which means a street connecting the right cell and the lower cell.
  • 5 which means a street connecting the left cell and the upper cell.
  • 6 which means a street connecting the right cell and the upper cell.

You will initially start at the street of the upper-left cell (0, 0). A valid path in the grid is a path that starts from the upper left cell (0, 0) and ends at the bottom-right cell (m - 1, n - 1). The path should only follow the streets.

Notice that you are not allowed to change any street.

Return true if there is a valid path in the grid or false otherwise.

 

Example 1:

Input: grid = [[2,4,3],[6,5,2]]
Output: true
Explanation: As shown you can start at cell (0, 0) and visit all the cells of the grid to reach (m - 1, n - 1).

Example 2:

Input: grid = [[1,2,1],[1,2,1]]
Output: false
Explanation: As shown you the street at cell (0, 0) is not connected with any street of any other cell and you will get stuck at cell (0, 0)

Example 3:

Input: grid = [[1,1,2]]
Output: false
Explanation: You will get stuck at cell (0, 1) and you cannot reach cell (0, 2).

 

Constraints:

  • m == grid.length
  • n == grid[i].length
  • 1 <= m, n <= 300
  • 1 <= grid[i][j] <= 6

Solutions

Solution 1

PythonJavaC++Go
class Solution: def hasValidPath(self, grid: List[List[int]]) -> bool: m, n = len(grid), len(grid[0]) p = list(range(m * n)) def find(x): if p[x] != x: p[x] = find(p[x]) return p[x] def left(i, j): if j > 0 and grid[i][j - 1] in (1, 4, 6): p[find(i * n + j)] = find(i * n + j - 1) def right(i, j): if j < n - 1 and grid[i][j + 1] in (1, 3, 5): p[find(i * n + j)] = find(i * n + j + 1) def up(i, j): if i > 0 and grid[i - 1][j] in (2, 3, 4): p[find(i * n + j)] = find((i - 1) * n + j) def down(i, j): if i < m - 1 and grid[i + 1][j] in (2, 5, 6): p[find(i * n + j)] = find((i + 1) * n + j) for i in range(m): for j in range(n): e = grid[i][j] if e == 1: left(i, j) right(i, j) elif e == 2: up(i, j) down(i, j) elif e == 3: left(i, j) down(i, j) elif e == 4: right(i, j) down(i, j) elif e == 5: left(i, j) up(i, j) else: right(i, j) up(i, j) return find(0) == find(m * n - 1)(code-box)

Post a Comment

0Comments

Post a Comment (0)

#buttons=(Accept !) #days=(20)

Our website uses cookies to enhance your experience. Check Now
Accept !