Special Positions in a Binary Matrix
<p>Given an <code>m x n</code> binary matrix <code>mat</code>, return <em>the number of special positions in </em><code>mat</code><em>.</em></p>

<p>A position <code>(i, j)</code> is called <strong>special</strong> if <code>mat[i][j] == 1</code> and all other elements in row <code>i</code> and column <code>j</code> are <code>0</code> (rows and columns are <strong>0-indexed</strong>).</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/1500-1599/1582.Special%20Positions%20in%20a%20Binary%20Matrix/images/special1.jpg" style="width: 244px; height: 245px;" />
<pre>
<strong>Input:</strong> mat = [[1,0,0],[0,0,1],[1,0,0]]
<strong>Output:</strong> 1
<strong>Explanation:</strong> (1, 2) is a special position because mat[1][2] == 1 and all other elements in row 1 and column 2 are 0.
</pre>

<p><strong class="example">Example 2:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/1500-1599/1582.Special%20Positions%20in%20a%20Binary%20Matrix/images/special-grid.jpg" style="width: 244px; height: 245px;" />
<pre>
<strong>Input:</strong> mat = [[1,0,0],[0,1,0],[0,0,1]]
<strong>Output:</strong> 3
<strong>Explanation:</strong> (0, 0), (1, 1) and (2, 2) are special positions.
</pre>

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

<ul>
	<li><code>m == mat.length</code></li>
	<li><code>n == mat[i].length</code></li>
	<li><code>1 &lt;= m, n &lt;= 100</code></li>
	<li><code>mat[i][j]</code> is either <code>0</code> or <code>1</code>.</li>
</ul>
Array; Matrix
class Solution:
    def numSpecial(self, mat: List[List[int]]) -> int:
        rows = [0] * len(mat)
        cols = [0] * len(mat[0])
        for i, row in enumerate(mat):
            for j, x in enumerate(row):
                rows[i] += x
                cols[j] += x
        ans = 0
        for i, row in enumerate(mat):
            for j, x in enumerate(row):
                ans += x == 1 and rows[i] == 1 and cols[j] == 1
        return ans
