You plan to build a tree house in the woods near your house so that you can watch the sun rise and set.
You've obtained data from a local survey company that show the height of every tree in each rectangular section of the map. You need to analyze each grid on the map to find good trees for your tree house.
A good tree is both:
Your task is to find the potential trees where you could build your tree house.
The data company provides the data as grids that show the heights of the trees. The rows of the grid represent the east-west direction, and the columns represent the north-south direction.
An acceptable tree will be the largest in its row, while being the smallest in its column.
A grid might not have any good trees at all. Or it might have one, or even several.
Here is a grid that has exactly one candidate tree.
β
1 2 3 4
|-----------
1 | 9 8 7 8
β 2 |[5] 3 2 4
3 | 6 6 7 1
So the point at [2, 1]
(row: 2, column: 1) is a great spot for a tree house.
The input will be in the format of a string. To keep this exercise beginner-friendly, you need not expect numbers with multiple digits.
Bytes 64-191 of the linear memory are reserved for the input string.
The output is expected in pairs of row and column as u8 directly concatenated.
For example, if there are three saddle points
row: 2, column: 1 row: 2, column: 2 row: 2, column: 3
then the expected output would be the u8 values 2, 1, 2, 2, 2, 3
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