## 1631. Path With Minimum Effort

You are a hiker preparing for an upcoming hike. You are given `heights`

, a 2D array of size `rows x columns`

, where `heights[row][col]`

represents the height of cell `(row, col)`

. You are situated in the top-left cell, `(0, 0)`

, and you hope to travel to the bottom-right cell, `(rows-1, columns-1)`

(i.e., **0-indexed**). You can move **up**, **down**, **left**, or **right**, and you wish to find a route that requires the minimum **effort**.

A route's **effort** is the **maximum absolute difference**** **in heights between two consecutive cells of the route.

Return *the minimum effort required to travel from the top-left cell to the bottom-right cell.*

**Example 1:**

Input:heights = [[1,2,2],[3,8,2],[5,3,5]]Output:2Explanation:The route of [1,3,5,3,5] has a maximum absolute difference of 2 in consecutive cells. This is better than the route of [1,2,2,2,5], where the maximum absolute difference is 3.

**Example 2:**

Input:heights = [[1,2,3],[3,8,4],[5,3,5]]Output:1Explanation:The route of [1,2,3,4,5] has a maximum absolute difference of 1 in consecutive cells, which is better than route [1,3,5,3,5].

**Example 3:**

Input:heights = [[1,2,1,1,1],[1,2,1,2,1],[1,2,1,2,1],[1,2,1,2,1],[1,1,1,2,1]]Output:0Explanation:This route does not require any effort.

**Constraints:**

`rows == heights.length`

`columns == heights[i].length`

`1 <= rows, columns <= 100`

`1 <= heights[i][j] <= 10`

^{6}

## Rust Solution

```
struct Solution;
use std::cmp::Reverse;
use std::collections::BinaryHeap;
impl Solution {
fn minimum_effort_path(heights: Vec<Vec<i32>>) -> i32 {
let n = heights.len();
let m = heights[0].len();
let mut visited: Vec<Vec<bool>> = vec![vec![false; m]; n];
let mut queue: BinaryHeap<(Reverse<i32>, usize, usize)> = BinaryHeap::new();
let mut res = 0;
queue.push((Reverse(0), 0, 0));
while let Some((Reverse(effort), i, j)) = queue.pop() {
res = res.max(effort);
if i == n - 1 && j == m - 1 {
break;
}
visited[i][j] = true;
if i > 0 && !visited[i - 1][j] {
let diff = heights[i][j] - heights[i - 1][j];
queue.push((Reverse(diff.abs()), i - 1, j));
}
if j > 0 && !visited[i][j - 1] {
let diff = heights[i][j] - heights[i][j - 1];
queue.push((Reverse(diff.abs()), i, j - 1));
}
if i + 1 < n && !visited[i + 1][j] {
let diff = heights[i][j] - heights[i + 1][j];
queue.push((Reverse(diff.abs()), i + 1, j));
}
if j + 1 < m && !visited[i][j + 1] {
let diff = heights[i][j] - heights[i][j + 1];
queue.push((Reverse(diff.abs()), i, j + 1));
}
}
res
}
}
#[test]
fn test() {
let heights = vec_vec_i32![[1, 2, 2], [3, 8, 2], [5, 3, 5]];
let res = 2;
assert_eq!(Solution::minimum_effort_path(heights), res);
let heights = vec_vec_i32![[1, 2, 3], [3, 8, 4], [5, 3, 5]];
let res = 1;
assert_eq!(Solution::minimum_effort_path(heights), res);
let heights = vec_vec_i32![
[1, 2, 1, 1, 1],
[1, 2, 1, 2, 1],
[1, 2, 1, 2, 1],
[1, 2, 1, 2, 1],
[1, 1, 1, 2, 1]
];
let res = 0;
assert_eq!(Solution::minimum_effort_path(heights), res);
}
```

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