Approach
Depth-first search
For Length of Longest V-Shaped Diagonal Segment, the implementation follows one branch at a time, making it suitable for components, trees, backtracking, or dependency exploration.
- Define the state carried into one recursive or stack frame.
- Mark or choose the current state before exploring children.
- Combine child results or undo the choice when the branch finishes.
Code notes
- 29 lines of Python from the credited upstream file 3459.py.
- The implementation visibly relies on sequence storage.
- No explicit loop blocks detected, together with recursive traversal.
Complexity
Count unique states for graph traversal; for backtracking, count the branching factor and maximum depth.
Check the problem constraints before deciding whether this complexity will pass.
Use this to learn the idea, then write your own version.
1class Solution:2 def lenOfVDiagonal(self, grid: list[list[int]]) -> int:3 DIRS = ((-1, 1), (1, 1), (1, -1), (-1, -1))4 5 @functools.lru_cache(None)6 def dfs(i: int, j: int, turned: bool, num: int, dir: int) -> int:7 if i < 0 or i == len(grid) or j < 0 or j == len(grid[0]):8 return 09 if grid[i][j] != num:10 return 011 12 nextNum = 0 if num == 2 else 213 dx, dy = DIRS[dir]14 res = 1 + dfs(i + dx, j + dy, turned, nextNum, dir)15 16 if not turned:17 nextDir = (dir + 1) % 418 nextDx, nextDy = DIRS[nextDir]19 res = max(res, 1 + dfs(i + nextDx, j + nextDy, 1, nextNum, nextDir))20 21 return res22 23 return max((1 + dfs(i + dx, j + dy, 0, 2, d)24 for i, row in enumerate(grid)25 for j, num in enumerate(row)26 if num == 127 for d, (dx, dy) in enumerate(DIRS)),28 default=0)29