<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]:
        # binary search + hashMap
        # brute force would be to see if every rectangle contains the point, for all the point
        # optimization #1: know for previous points, which rectangles already contain it
        # optimiztion #2: sort rectangles and then binary search on the lengths, knowing that the heights are in sorted order
        # iterate through the points and grab the # of rectangles that can contain that point (y to max height) by using the helper function which would return the idx of the rectangle that is >= target

        def binarySearch(lengths, target):
            left, right = 0, len(lengths) - 1
            while left <= right:
                mid = (left + right) // 2
                if lengths[mid] == target:
                    return mid
                elif lengths[mid] < target:
                    left = mid + 1
                else:
                    right = mid - 1
            return left

        hashMap = defaultdict(list)
        max_height = 0
        for length, height in rectangles:
            hashMap[height].append(length)
            max_height = max(max_height, height)
        for value in hashMap.values():
            value.sort()

        ans = []
        for x, y in points:
            count = 0
            for i in range(y, max_height + 1):
                if hashMap[i]:
                    count += len(hashMap[i]) - binarySearch(hashMap[i], x)
            ans.append(count)
        return ans



        
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