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For a pair of points on the Cartesian plane $$$(x_1, y_1)$$$ and $$$(x_2, y_2)$$$, we define the Manhattan distance between them as $$$|x_1-x_2|+|y_1-y_2|$$$. For example, for the pair of points $$$(4, 1)$$$ and $$$(2, 7)$$$, the Manhattan distance between them is $$$|4-2|+|1-7| = 2+6 = 8$$$.
You are given $$$2 \cdot n$$$ points on the Cartesian plane, whose coordinates are integers. All $$$y$$$-coordinates of the given points are either $$$0$$$ or $$$1$$$.
Split the given points into $$$n$$$ pairs such that each of these points belongs to exactly one pair, and the maximum Manhattan distance between the points of one pair is minimized.
The first line contains a single integer $$$n$$$ $$$(1 \le n \le 10^5)$$$.
In the following $$$2 \cdot n$$$ lines, each line contains two integers $$$x_i$$$ and $$$y_i$$$ $$$(0 \le x_i \le 10^9, 0 \le y_i \le 1)$$$ — the coordinates of the corresponding point.
Output a single integer — the maximum Manhattan distance between the points of one pair in the optimal partition.
13 11 0
3
318 03 01 010 08 014 0
4
43 00 15 02 16 03 05 12 1
2
In the second example, the pairing $$$[(18, 0), (14, 0)]$$$, $$$[(3, 0), (1, 0)]$$$, and $$$[(8, 0), (10, 0)]$$$ is the only optimal partition. The Manhattan distances between the points of one pair in this partition are $$$4$$$, $$$2$$$, and $$$2$$$, respectively.
In the third example, the pairing $$$[(0, 1), (2, 1)]$$$, $$$[(2, 1), (3, 0)]$$$, $$$[(3, 0), (5, 0)]$$$, and $$$[(5, 1), (6, 0)]$$$ is an optimal partition. All Manhattan distances between the points of one pair in this partition are equal to $$$2$$$.
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