<p>You are given a 2D integer array <code>rectangles</code> where <code>rectangles[i] = [l<sub>i</sub>, h<sub>i</sub>]</code> indicates that <code>i<sup>th</sup></code> rectangle has a length of <code>l<sub>i</sub></code> and a height of <code>h<sub>i</sub></code>. You are also given a 2D integer array <code>points</code> where <code>points[j] = [x<sub>j</sub>, y<sub>j</sub>]</code> is a point with coordinates <code>(x<sub>j</sub>, y<sub>j</sub>)</code>.</p>

<p>The <code>i<sup>th</sup></code> rectangle has its <strong>bottom-left corner</strong> point at the coordinates <code>(0, 0)</code> and its <strong>top-right corner</strong> point at <code>(l<sub>i</sub>, h<sub>i</sub>)</code>.</p>

<p>Return<em> an integer array </em><code>count</code><em> of length </em><code>points.length</code><em> where </em><code>count[j]</code><em> is the number of rectangles that <strong>contain</strong> the </em><code>j<sup>th</sup></code><em> point.</em></p>

<p>The <code>i<sup>th</sup></code> rectangle <strong>contains</strong> the <code>j<sup>th</sup></code> point if <code>0 &lt;= x<sub>j</sub> &lt;= l<sub>i</sub></code> and <code>0 &lt;= y<sub>j</sub> &lt;= h<sub>i</sub></code>. Note that points that lie on the <strong>edges</strong> of a rectangle are also considered to be contained by that rectangle.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2022/03/02/example1.png" style="width: 300px; height: 509px;" />
<pre>
<strong>Input:</strong> rectangles = [[1,2],[2,3],[2,5]], points = [[2,1],[1,4]]
<strong>Output:</strong> [2,1]
<strong>Explanation:</strong> 
The first rectangle contains no points.
The second rectangle contains only the point (2, 1).
The third rectangle contains the points (2, 1) and (1, 4).
The number of rectangles that contain the point (2, 1) is 2.
The number of rectangles that contain the point (1, 4) is 1.
Therefore, we return [2, 1].
</pre>

<p><strong class="example">Example 2:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2022/03/02/example2.png" style="width: 300px; height: 312px;" />
<pre>
<strong>Input:</strong> rectangles = [[1,1],[2,2],[3,3]], points = [[1,3],[1,1]]
<strong>Output:</strong> [1,3]
<strong>Explanation:
</strong>The first rectangle contains only the point (1, 1).
The second rectangle contains only the point (1, 1).
The third rectangle contains the points (1, 3) and (1, 1).
The number of rectangles that contain the point (1, 3) is 1.
The number of rectangles that contain the point (1, 1) is 3.
Therefore, we return [1, 3].
</pre>

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

<ul>
	<li><code>1 &lt;= rectangles.length, points.length &lt;= 5 * 10<sup>4</sup></code></li>
	<li><code>rectangles[i].length == points[j].length == 2</code></li>
	<li><code>1 &lt;= l<sub>i</sub>, x<sub>j</sub> &lt;= 10<sup>9</sup></code></li>
	<li><code>1 &lt;= h<sub>i</sub>, y<sub>j</sub> &lt;= 100</code></li>
	<li>All the <code>rectangles</code> are <strong>unique</strong>.</li>
	<li>All the <code>points</code> are <strong>unique</strong>.</li>
</ul>

class Solution:
    def countRectangles(self, rectangles: List[List[int]], points: List[List[int]]) -> List[int]:
        # all rectangle start at 0, 0
        # for each point count number of rectangles that contain that point

        # how many have i, j >= x, y

        # how do we know if rectangle contains a point
        # i >= x and j >= y

        # for each point calculate how many fall into that category

        # for each point search

        # so we are pretty muhc looking for the number of rectangles that have both sides greater 
        # number of rectangles that have

        # the question is how to move from one d to two d??

        # we can identify all points with width

        # we can filter out all idx, that have the right width
        sorted_h = []        
        heights = defaultdict(list)
        mx_h = 0

        for w, h in rectangles:      
            mx_h = max(mx_h, h)      
            bisect.insort(heights[h], w)

        res = []        
        for x, y in points:            
            # get the lowest height
            total = 0                     
            for i in range(y, mx_h+1):               
                total += len(heights[i]) - bisect_left(heights[i], x)
            res.append(total)
        return res




2003