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<p>You are given a <strong>0-indexed</strong> integer matrix <code>grid</code> and an integer <code>k</code>.</p>
<p>Return <em>the <strong>number</strong> of <span data-keyword="submatrix">submatrices</span> that contain the top-left element of the</em> <code>grid</code>, <em>and have a sum less than or equal to </em><code>k</code>.</p>
<p> </p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2024/01/01/example1.png" style="padding: 10px; background: #fff; border-radius: .5rem;" />
<pre>
<strong>Input:</strong> grid = [[7,6,3],[6,6,1]], k = 18
<strong>Output:</strong> 4
<strong>Explanation:</strong> There are only 4 submatrices, shown in the image above, that contain the top-left element of grid, and have a sum less than or equal to 18.</pre>
<p><strong class="example">Example 2:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2024/01/01/example21.png" style="padding: 10px; background: #fff; border-radius: .5rem;" />
<pre>
<strong>Input:</strong> grid = [[7,2,9],[1,5,0],[2,6,6]], k = 20
<strong>Output:</strong> 6
<strong>Explanation:</strong> There are only 6 submatrices, shown in the image above, that contain the top-left element of grid, and have a sum less than or equal to 20.
</pre>
<p> </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 <= n, m <= 1000 </code></li>
<li><code>0 <= grid[i][j] <= 1000</code></li>
<li><code>1 <= k <= 10<sup>9</sup></code></li>
</ul>
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