Find the Minimum Area to Cover All Ones II
<p>You are given a 2D <strong>binary</strong> array <code>grid</code>. You need to find 3 <strong>non-overlapping</strong> rectangles having <strong>non-zero</strong> areas with horizontal and vertical sides such that all the 1&#39;s in <code>grid</code> lie inside these rectangles.</p>

<p>Return the <strong>minimum</strong> possible sum of the area of these rectangles.</p>

<p><strong>Note</strong> that the rectangles are allowed to touch.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>

<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">grid = [[1,0,1],[1,1,1]]</span></p>

<p><strong>Output:</strong> <span class="example-io">5</span></p>

<p><strong>Explanation:</strong></p>

<p><img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/3100-3199/3197.Find%20the%20Minimum%20Area%20to%20Cover%20All%20Ones%20II/images/example0rect21.png" style="padding: 10px; background: rgb(255, 255, 255); border-radius: 0.5rem; width: 280px; height: 198px;" /></p>

<ul>
	<li>The 1&#39;s at <code>(0, 0)</code> and <code>(1, 0)</code> are covered by a rectangle of area 2.</li>
	<li>The 1&#39;s at <code>(0, 2)</code> and <code>(1, 2)</code> are covered by a rectangle of area 2.</li>
	<li>The 1 at <code>(1, 1)</code> is covered by a rectangle of area 1.</li>
</ul>
</div>

<p><strong class="example">Example 2:</strong></p>

<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">grid = [[1,0,1,0],[0,1,0,1]]</span></p>

<p><strong>Output:</strong> <span class="example-io">5</span></p>

<p><strong>Explanation:</strong></p>

<p><img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/3100-3199/3197.Find%20the%20Minimum%20Area%20to%20Cover%20All%20Ones%20II/images/example1rect2.png" style="padding: 10px; background: rgb(255, 255, 255); border-radius: 0.5rem; width: 356px; height: 198px;" /></p>

<ul>
	<li>The 1&#39;s at <code>(0, 0)</code> and <code>(0, 2)</code> are covered by a rectangle of area 3.</li>
	<li>The 1 at <code>(1, 1)</code> is covered by a rectangle of area 1.</li>
	<li>The 1 at <code>(1, 3)</code> is covered by a rectangle of area 1.</li>
</ul>
</div>

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

<ul>
	<li><code>1 &lt;= grid.length, grid[i].length &lt;= 30</code></li>
	<li><code>grid[i][j]</code> is either 0 or 1.</li>
	<li>The input is generated such that there are at least three 1&#39;s in <code>grid</code>.</li>
</ul>
Array; Enumeration; Matrix
class Solution:
    def minimumSum(self, grid: List[List[int]]) -> int:
        def f(i1: int, j1: int, i2: int, j2: int) -> int:
            x1 = y1 = inf
            x2 = y2 = -inf
            for i in range(i1, i2 + 1):
                for j in range(j1, j2 + 1):
                    if grid[i][j] == 1:
                        x1 = min(x1, i)
                        y1 = min(y1, j)
                        x2 = max(x2, i)
                        y2 = max(y2, j)
            return (x2 - x1 + 1) * (y2 - y1 + 1)

        m, n = len(grid), len(grid[0])
        ans = m * n
        for i1 in range(m - 1):
            for i2 in range(i1 + 1, m - 1):
                ans = min(
                    ans,
                    f(0, 0, i1, n - 1)
                    + f(i1 + 1, 0, i2, n - 1)
                    + f(i2 + 1, 0, m - 1, n - 1),
                )
        for j1 in range(n - 1):
            for j2 in range(j1 + 1, n - 1):
                ans = min(
                    ans,
                    f(0, 0, m - 1, j1)
                    + f(0, j1 + 1, m - 1, j2)
                    + f(0, j2 + 1, m - 1, n - 1),
                )
        for i in range(m - 1):
            for j in range(n - 1):
                ans = min(
                    ans,
                    f(0, 0, i, j) + f(0, j + 1, i, n - 1) + f(i + 1, 0, m - 1, n - 1),
                )
                ans = min(
                    ans,
                    f(0, 0, i, n - 1)
                    + f(i + 1, 0, m - 1, j)
                    + f(i + 1, j + 1, m - 1, n - 1),
                )

                ans = min(
                    ans,
                    f(0, 0, i, j) + f(i + 1, 0, m - 1, j) + f(0, j + 1, m - 1, n - 1),
                )
                ans = min(
                    ans,
                    f(0, 0, m - 1, j)
                    + f(0, j + 1, i, n - 1)
                    + f(i + 1, j + 1, m - 1, n - 1),
                )
        return ans
