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2245. Maximum Trailing Zeros in a Cornered Path

Description

You are given a 2D integer array grid of size m x n, where each cell contains a positive integer.

A cornered path is defined as a set of adjacent cells with at most one turn. More specifically, the path should exclusively move either horizontally or vertically up to the turn (if there is one), without returning to a previously visited cell. After the turn, the path will then move exclusively in the alternate direction: move vertically if it moved horizontally, and vice versa, also without returning to a previously visited cell.

The product of a path is defined as the product of all the values in the path.

Return the maximum number of trailing zeros in the product of a cornered path found in grid.

Note:

  • Horizontal movement means moving in either the left or right direction.
  • Vertical movement means moving in either the up or down direction.

 

Example 1:

Input: grid = [[23,17,15,3,20],[8,1,20,27,11],[9,4,6,2,21],[40,9,1,10,6],[22,7,4,5,3]]
Output: 3
Explanation: The grid on the left shows a valid cornered path.
It has a product of 15 * 20 * 6 * 1 * 10 = 18000 which has 3 trailing zeros.
It can be shown that this is the maximum trailing zeros in the product of a cornered path.

The grid in the middle is not a cornered path as it has more than one turn.
The grid on the right is not a cornered path as it requires a return to a previously visited cell.

Example 2:

Input: grid = [[4,3,2],[7,6,1],[8,8,8]]
Output: 0
Explanation: The grid is shown in the figure above.
There are no cornered paths in the grid that result in a product with a trailing zero.

 

Constraints:

  • m == grid.length
  • n == grid[i].length
  • 1 <= m, n <= 105
  • 1 <= m * n <= 105
  • 1 <= grid[i][j] <= 1000

Solutions

Solution 1: Prefix Sum + Enumerate Turning Point

Firstly, we need to understand that for a product, the number of trailing zeros depends on the smaller count of $2$ and $5$ in its factors. Also, each corner path should cover as many numbers as possible, so it must start from a boundary, reach a turning point, and then reach another boundary.

Therefore, we can create four two-dimensional arrays $r2$, $c2$, $r5$, $c5$ to record the counts of $2$ and $5$ in each row and column. Where:

  • r2[i][j] represents the count of $2$ from the first column to the $j$-th column in the $i$-th row;
  • c2[i][j] represents the count of $2$ from the first row to the $i$-th row in the $j$-th column;
  • r5[i][j] represents the count of $5$ from the first column to the $j$-th column in the $i$-th row;
  • c5[i][j] represents the count of $5$ from the first row to the $i$-th row in the $j$-th column.

Next, we traverse the two-dimensional array grid. For each number, we calculate its counts of $2$ and $5$, and then update the four two-dimensional arrays.

Then, we enumerate the turning point $(i, j)$. For each turning point, we calculate four values:

  • a represents the smaller count of $2$ and $5$ in the path that moves right from $(i, 1)$ to $(i, j)$, then turns and moves up to $(1, j)$;
  • b represents the smaller count of $2$ and $5$ in the path that moves right from $(i, 1)$ to $(i, j)$, then turns and moves down to $(m, j)$;
  • c represents the smaller count of $2$ and $5$ in the path that moves left from $(i, n)$ to $(i, j)$, then turns and moves up to $(1, j)$;
  • d represents the smaller count of $2$ and $5$ in the path that moves left from $(i, n)$ to $(i, j)$, then turns and moves down to $(m, j)$.

Each time we enumerate, we take the maximum of these four values, and then update the answer.

Finally, we return the answer.

The time complexity is $O(m \times n)$, and the space complexity is $O(m \times n)$, where $m$ and $n$ are the number of rows and columns of the grid array, respectively.

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class Solution:
    def maxTrailingZeros(self, grid: List[List[int]]) -> int:
        m, n = len(grid), len(grid[0])
        r2 = [[0] * (n + 1) for _ in range(m + 1)]
        c2 = [[0] * (n + 1) for _ in range(m + 1)]
        r5 = [[0] * (n + 1) for _ in range(m + 1)]
        c5 = [[0] * (n + 1) for _ in range(m + 1)]
        for i, row in enumerate(grid, 1):
            for j, x in enumerate(row, 1):
                s2 = s5 = 0
                while x % 2 == 0:
                    x //= 2
                    s2 += 1
                while x % 5 == 0:
                    x //= 5
                    s5 += 1
                r2[i][j] = r2[i][j - 1] + s2
                c2[i][j] = c2[i - 1][j] + s2
                r5[i][j] = r5[i][j - 1] + s5
                c5[i][j] = c5[i - 1][j] + s5
        ans = 0
        for i in range(1, m + 1):
            for j in range(1, n + 1):
                a = min(r2[i][j] + c2[i - 1][j], r5[i][j] + c5[i - 1][j])
                b = min(r2[i][j] + c2[m][j] - c2[i][j], r5[i][j] + c5[m][j] - c5[i][j])
                c = min(r2[i][n] - r2[i][j] + c2[i][j], r5[i][n] - r5[i][j] + c5[i][j])
                d = min(
                    r2[i][n] - r2[i][j - 1] + c2[m][j] - c2[i][j],
                    r5[i][n] - r5[i][j - 1] + c5[m][j] - c5[i][j],
                )
                ans = max(ans, a, b, c, d)
        return ans
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class Solution {
    public int maxTrailingZeros(int[][] grid) {
        int m = grid.length, n = grid[0].length;
        int[][] r2 = new int[m + 1][n + 1];
        int[][] c2 = new int[m + 1][n + 1];
        int[][] r5 = new int[m + 1][n + 1];
        int[][] c5 = new int[m + 1][n + 1];
        for (int i = 1; i <= m; ++i) {
            for (int j = 1; j <= n; ++j) {
                int x =