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

<p>A <strong>cornered path</strong> is defined as a set of adjacent cells with <strong>at most</strong> one turn. More specifically, the path should exclusively move either <strong>horizontally</strong> or <strong>vertically</strong> 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 <strong>alternate</strong> direction: move vertically if it moved horizontally, and vice versa, also without returning to a previously visited cell.</p>

<p>The <strong>product</strong> of a path is defined as the product of all the values in the path.</p>

<p>Return <em>the <strong>maximum</strong> number of <strong>trailing zeros</strong> in the product of a cornered path found in </em><code>grid</code>.</p>

<p>Note:</p>

<ul>
	<li><strong>Horizontal</strong> movement means moving in either the left or right direction.</li>
	<li><strong>Vertical</strong> movement means moving in either the up or down direction.</li>
</ul>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2022/03/23/ex1new2.jpg" style="width: 577px; height: 190px;" />
<pre>
<strong>Input:</strong> 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]]
<strong>Output:</strong> 3
<strong>Explanation:</strong> 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.
</pre>

<p><strong class="example">Example 2:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2022/03/25/ex2.jpg" style="width: 150px; height: 157px;" />
<pre>
<strong>Input:</strong> grid = [[4,3,2],[7,6,1],[8,8,8]]
<strong>Output:</strong> 0
<strong>Explanation:</strong> 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.
</pre>

<p>&nbsp;</p>
<p><strong>Constraints:</strong></p>

<ul>
	<li><code>m == grid.length</code></li>
	<li><code>n == grid[i].length</code></li>
	<li><code>1 &lt;= m, n &lt;= 10<sup>5</sup></code></li>
	<li><code>1 &lt;= m * n &lt;= 10<sup>5</sup></code></li>
	<li><code>1 &lt;= grid[i][j] &lt;= 1000</code></li>
</ul>

class Solution:
    def maxTrailingZeros(self, grid: List[List[int]]) -> int:
        m, n = len(grid), len(grid[0])  # Dimensions of the grid

        # Helper function to count factors of 2 and 5
        def count_factors(num):
            count2, count5 = 0, 0  # Initialize counters for factors of 2 and 5
            while num % 2 == 0:  # Count factors of 2
                count2 += 1
                num //= 2
            while num % 5 == 0:  # Count factors of 5
                count5 += 1
                num //= 5
            return count2, count5  # Return the counts

        # Initialize arrays to store counts of factors of 2 and 5
        twos = [[0] * n for _ in range(m)]
        fives = [[0] * n for _ in range(m)]

        # Populate twos and fives arrays
        for i in range(m):
            for j in range(n):
                twos[i][j], fives[i][j] = count_factors(grid[i][j])

        # Initialize prefix sum arrays
        prefix_twos_row = [[0] * (n + 1) for _ in range(m)]
        prefix_fives_row = [[0] * (n + 1) for _ in range(m)]
        prefix_twos_col = [[0] * (n + 1) for _ in range(m + 1)]
        prefix_fives_col = [[0] * (n + 1) for _ in range(m + 1)]

        # Calculate prefix sums for rows and columns
        for i in range(m):
            for j in range(n):
                prefix_twos_row[i][j + 1] = prefix_twos_row[i][j] + twos[i][j]
                prefix_fives_row[i][j + 1] = prefix_fives_row[i][j] + fives[i][j]
                prefix_twos_col[i + 1][j] = prefix_twos_col[i][j] + twos[i][j]
                prefix_fives_col[i + 1][j] = prefix_fives_col[i][j] + fives[i][j]

        max_zeros = 0  # Initialize maximum trailing zeros to 0

        # Calculate trailing zeros for all possible paths
        for i in range(m):
            for j in range(n):
                # Factors in the current cell
                cur_twos, cur_fives = twos[i][j], fives[i][j]

                # Calculate counts for all four possible cornered paths
                up_twos = prefix_twos_col[i][j]
                up_fives = prefix_fives_col[i][j]
                down_twos = prefix_twos_col[m][j] - prefix_twos_col[i + 1][j]
                down_fives = prefix_fives_col[m][j] - prefix_fives_col[i + 1][j]
                left_twos = prefix_twos_row[i][j]
                left_fives = prefix_fives_row[i][j]
                right_twos = prefix_twos_row[i][n] - prefix_twos_row[i][j + 1]
                right_fives = prefix_fives_row[i][n] - prefix_fives_row[i][j + 1]

                # Calculate trailing zeros for each path
                zeros1 = min(up_twos + right_twos + cur_twos, up_fives + right_fives + cur_fives)
                zeros2 = min(down_twos + right_twos + cur_twos, down_fives + right_fives + cur_fives)
                zeros3 = min(up_twos + left_twos + cur_twos, up_fives + left_fives + cur_fives)
                zeros4 = min(down_twos + left_twos + cur_twos, down_fives + left_fives + cur_fives)

                # Update max_zeros with the maximum trailing zeros found
                max_zeros = max(max_zeros, zeros1, zeros2, zeros3, zeros4)

        return max_zeros  # Return the maximum number of trailing zeros found
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