Intro
I have been learning haskell and functional programming using random Project Euler problems. Currently, I have solved Problem 11.
What is the greatest product of four adjacent numbers in the same direction (up, down, left, right, or diagonally) in the ×ばつ20 grid?
My solution
My solution consists of 4 parts.
- Finding the rows, columns and diagonals
- Flattening them to a single list
- Finding the product of sublists of 4, storing them in a list.
- Returning the maximum product
module Main where
import Data.List (nub, transpose)
-- | Grid is just a 2-D List.
type Grid = [[Int]]
grid :: Grid
grid =
[ [8, 2, 22, 97, 38, 15, 0, 40, 0, 75, 4, 5, 7, 78, 52, 12, 50, 77, 91, 8],
[49, 49, 99, 40, 17, 81, 18, 57, 60, 87, 17, 40, 98, 43, 69, 48, 4, 56, 62, 0],
[81, 49, 31, 73, 55, 79, 14, 29, 93, 71, 40, 67, 53, 88, 30, 3, 49, 13, 36, 65],
[52, 70, 95, 23, 4, 60, 11, 42, 69, 24, 68, 56, 1, 32, 56, 71, 37, 2, 36, 91],
[22, 31, 16, 71, 51, 67, 63, 89, 41, 92, 36, 54, 22, 40, 40, 28, 66, 33, 13, 80],
[24, 47, 32, 60, 99, 3, 45, 2, 44, 75, 33, 53, 78, 36, 84, 20, 35, 17, 12, 50],
[32, 98, 81, 28, 64, 23, 67, 10, 26, 38, 40, 67, 59, 54, 70, 66, 18, 38, 64, 70],
[67, 26, 20, 68, 2, 62, 12, 20, 95, 63, 94, 39, 63, 8, 40, 91, 66, 49, 94, 21],
[24, 55, 58, 5, 66, 73, 99, 26, 97, 17, 78, 78, 96, 83, 14, 88, 34, 89, 63, 72],
[21, 36, 23, 9, 75, 0, 76, 44, 20, 45, 35, 14, 0, 61, 33, 97, 34, 31, 33, 95],
[78, 17, 53, 28, 22, 75, 31, 67, 15, 94, 3, 80, 4, 62, 16, 14, 9, 53, 56, 92],
[16, 39, 5, 42, 96, 35, 31, 47, 55, 58, 88, 24, 0, 17, 54, 24, 36, 29, 85, 57],
[86, 56, 0, 48, 35, 71, 89, 7, 5, 44, 44, 37, 44, 60, 21, 58, 51, 54, 17, 58],
[19, 80, 81, 68, 5, 94, 47, 69, 28, 73, 92, 13, 86, 52, 17, 77, 4, 89, 55, 40],
[4, 52, 8, 83, 97, 35, 99, 16, 7, 97, 57, 32, 16, 26, 26, 79, 33, 27, 98, 66],
[88, 36, 68, 87, 57, 62, 20, 72, 3, 46, 33, 67, 46, 55, 12, 32, 63, 93, 53, 69],
[4, 42, 16, 73, 38, 25, 39, 11, 24, 94, 72, 18, 8, 46, 29, 32, 40, 62, 76, 36],
[20, 69, 36, 41, 72, 30, 23, 88, 34, 62, 99, 69, 82, 67, 59, 85, 74, 4, 36, 16],
[20, 73, 35, 29, 78, 31, 90, 1, 74, 31, 49, 71, 48, 86, 81, 16, 23, 57, 5, 54],
[1, 70, 54, 71, 83, 51, 54, 69, 16, 92, 33, 48, 61, 43, 52, 1, 89, 19, 67, 48]
]
main :: IO ()
main = do
print $ maximum products
where
seqs = concatMap ($ grid) [rows, cols, diag]
products = subLists $ concat seqs
where
-- Function to operate on sublists of four
subLists :: [Int] -> [Int]
subLists xs
| null xs = []
| otherwise = (product . take 4 $ xs) : subLists (tail xs)
rows, cols, diag :: Grid -> Grid
-- | Rows returns all rows of Grid.
rows = id
-- | Columns can be defined as the transposition of rows
cols = Data.List.transpose
-- | Diagnoals of a Grid. (All directions: Up & Right, Down & Right, Up & Left, Down & Left)
diag grid =
Data.List.nub allDiags -- Deduplicate list of diagonals to reduce computation of products.
where
-- Concatenate all 4 Directions
allDiags =
(diags . rows) grid
++ (diags . cols) grid
++ (diags . rows) gridMirror
++ (diags . cols) gridMirror
gridMirror = mirror grid
-- Mirror of a grid just reflects it about its columns.
mirror :: Grid -> Grid
mirror = reverse . Data.List.transpose
-- Main logic to get Diagonals of a grid.
-- How this works is basically explained here: https://stackoverflow.com/a/2792547
-- Imagine this grid.
-- [X . . . . .]
-- [. X . . . .]
-- [. . X . . .]
-- [. . . X . .]
-- [. . . . X .]
-- [. . . . . X]
-- When you drop 0 elems from row 0, 1 elem from row 1 ...: You get:
-- [X . . . . .]
-- [X . . . .]
-- [X . . . ]
-- [X . .]
-- [X .]
-- [X]
-- Each of the columns is a diagonal. Repeat this for mirror, tranpose of mirror and transpose and you got all diagonals from all mirrors.
diags :: Grid -> Grid
diags [] = []
diags (xs : xss)
| null xs = []
| otherwise = getDiag (xs : xss) : diags (map (drop 1) (xs : xss))
getDiag :: Grid -> [Int]
getDiag [] = []
getDiag xss
| null $ head xss = []
| otherwise = (head . head) xss : getDiag ((map (drop 1) . drop 1) xss)
What I woud like for review
- As I said, I am new to haskell, therefore I would appreicate if somebody could tell me how idiomatic this code was and how to improve it.
- Conciseness - I have seen some absolutely elegant 1-liners in haskell. Is there any way to make my
diag
function more concise?
Performance
On my system (i5-6200u), This particular grid takes 0.00s
in user to execute according to time when compiled with -O2
. Therefore, I have no qualms about that, althogh if I could reduce memory usage, I would gladly take it.
1 Answer 1
Remarks
Your code works! Software is hard, and working software deserves celebration
It is pretty easy to read
The code is reasonably-well structured and you make use of medium-level features (destructuring,
where
-clauses, etc)
Suggestions
In no particular order
The
type Grid = [[Int]]
should be anewtype Grid = Grid { rows :: [[Int]] }
. AGrid
is semantically distinct from an[[Int]]
, and therefore deserves its own typeI found some of your function name choices confusing. I would recommend renaming:
diags
toupperFallingDiags
, for clarity/precisiongetDiag
tofallingDiag
, for clarity/precisionmirror
toreflectHoriz
, for clarity/precisiondiag
todiags
, because it returns multiple diags, and to match the naming scheme ofrows
andcols
I could be wrong, but I don't think your comment explaining your diagonal-getting algorithm works is correct. The algorithm implemented seems to differ from the algorithm described. I've replaced the comment in the edited code (below)
You write that the diagonal-getting algorithm returns
all directions: up & right, ...
. This strikes me as misleading. When applied to the grid0 1 2 4 5 6 7 8 9
your algorithm does not produce both
[1, 6]
and[6, 1]
, but only one of these. More accurate is that your algorithm produces both the up-left/down-right direction (falling diagonals) and the up-right/down-left direction (rising diagonals)I don't think the application of
Data.List.nub
is worth it. I'd only expect two diagonals to be repeated (the two longest diagonals), and I don't think that's worth theO(n^2)
runtime ofnub
. I could be wrong, though.subLists
can be implemented asfmap product . filter (length >>> (== 4)) . fmap (take 4) . tails
or just
fmap product . fmap (take 4) . tails
since all the numbers are positive (so
filter
does not effect the finalmaximum
)Since you've imported
Data.List (nub, transpose)
, you can refer to them simply asnub
andtranspose
instead of asData.List.nub
andData.List.transpose
Scoping: I would move
mirror
(renamed toreflectHoriz
) outside of thewhere
-clause, since it's a very generic operation not specific to the implementation of the diagonal-getting algorithm. Also, I would move the assignment ofgridMirror
inwards, to communicate that it's only used for a small part of thewhere
block.Indent
where
-blocks with only one level of indentation. Using two is just a waste of a level. (Admission: this is my preference; typically in Haskellwhere
-blocks use two levels)The code
diags [] = [] diags (xs : xss) | null xs = [] | otherwise = ...
can be written more clearly as
diags [] = [] diags ([] : _) = [] diags grid = ...
Edited code
This code implements all the suggestions I've given as well as a small handful of other changes
Brownie points to you if you can figure out how fallingDiags
works :-)
module Main where
import Data.List (nub, tails)
import qualified Data.List as List
newtype Grid = Grid { rows :: [[Int]] }
reflectHoriz :: Grid -> Grid
reflectHoriz = Grid . reverse . List.transpose . rows
-- | Columns can be defined as the transposition of rows
transpose :: Grid -> Grid
transpose = Grid . List.transpose . rows
cols :: Grid -> [[Int]]
cols = rows . transpose
-- | Rising and falling diagnoals of a Grid
diags :: Grid -> [[Int]]
diags = \grid -> risingDiags grid ++ fallingDiags grid
where
risingDiags :: Grid -> [[Int]]
risingDiags = fallingDiags . reflectHoriz
fallingDiags :: Grid -> [[Int]]
fallingDiags = upperFallingDiags <> (upperFallingDiags . transpose)
-- Main logic to get Diagonals of a grid.
-- Imagine this grid.
-- [X . . . . .]
-- [. X . . . .]
-- [. . X . . .]
-- [. . . X . .]
-- [. . . . X .]
-- [. . . . . X]
-- When you drop 1 elem from all rows, the diagonal shifts:
-- [ X . . . .]
-- [ . X . . .]
-- [ . . X . .]
-- [ . . . X .]
-- [ . . . . X]
-- [ . . . . .]
-- Repeat to produce every upper falling diagonal of the grid
upperFallingDiags :: Grid -> [[Int]]
upperFallingDiags (Grid []) = []
upperFallingDiags (Grid ([] : _)) = []
upperFallingDiags grid = fallingDiag grid : upperFallingDiags (Grid $ map (drop 1) (rows grid))
fallingDiag :: Grid -> [Int]
fallingDiag (Grid []) = []
fallingDiag (Grid ([] : _)) = []
fallingDiag (Grid xss) = (head . head) xss : fallingDiag (Grid $ (map (drop 1) . drop 1) xss)
main :: IO ()
main = do
print $ maximum products
print $ maximum products == 70600674
where
seqs = concatMap ($ grid) [rows, cols, diags]
products = fmap product . fmap (take 4) . tails $ concat seqs
grid :: Grid
grid = Grid
[ [8, 2, 22, 97, 38, 15, 0, 40, 0, 75, 4, 5, 7, 78, 52, 12, 50, 77, 91, 8],
[49, 49, 99, 40, 17, 81, 18, 57, 60, 87, 17, 40, 98, 43, 69, 48, 4, 56, 62, 0],
[81, 49, 31, 73, 55, 79, 14, 29, 93, 71, 40, 67, 53, 88, 30, 3, 49, 13, 36, 65],
[52, 70, 95, 23, 4, 60, 11, 42, 69, 24, 68, 56, 1, 32, 56, 71, 37, 2, 36, 91],
[22, 31, 16, 71, 51, 67, 63, 89, 41, 92, 36, 54, 22, 40, 40, 28, 66, 33, 13, 80],
[24, 47, 32, 60, 99, 3, 45, 2, 44, 75, 33, 53, 78, 36, 84, 20, 35, 17, 12, 50],
[32, 98, 81, 28, 64, 23, 67, 10, 26, 38, 40, 67, 59, 54, 70, 66, 18, 38, 64, 70],
[67, 26, 20, 68, 2, 62, 12, 20, 95, 63, 94, 39, 63, 8, 40, 91, 66, 49, 94, 21],
[24, 55, 58, 5, 66, 73, 99, 26, 97, 17, 78, 78, 96, 83, 14, 88, 34, 89, 63, 72],
[21, 36, 23, 9, 75, 0, 76, 44, 20, 45, 35, 14, 0, 61, 33, 97, 34, 31, 33, 95],
[78, 17, 53, 28, 22, 75, 31, 67, 15, 94, 3, 80, 4, 62, 16, 14, 9, 53, 56, 92],
[16, 39, 5, 42, 96, 35, 31, 47, 55, 58, 88, 24, 0, 17, 54, 24, 36, 29, 85, 57],
[86, 56, 0, 48, 35, 71, 89, 7, 5, 44, 44, 37, 44, 60, 21, 58, 51, 54, 17, 58],
[19, 80, 81, 68, 5, 94, 47, 69, 28, 73, 92, 13, 86, 52, 17, 77, 4, 89, 55, 40],
[4, 52, 8, 83, 97, 35, 99, 16, 7, 97, 57, 32, 16, 26, 26, 79, 33, 27, 98, 66],
[88, 36, 68, 87, 57, 62, 20, 72, 3, 46, 33, 67, 46, 55, 12, 32, 63, 93, 53, 69],
[4, 42, 16, 73, 38, 25, 39, 11, 24, 94, 72, 18, 8, 46, 29, 32, 40, 62, 76, 36],
[20, 69, 36, 41, 72, 30, 23, 88, 34, 62, 99, 69, 82, 67, 59, 85, 74, 4, 36, 16],
[20, 73, 35, 29, 78, 31, 90, 1, 74, 31, 49, 71, 48, 86, 81, 16, 23, 57, 5, 54],
[1, 70, 54, 71, 83, 51, 54, 69, 16, 92, 33, 48, 61, 43, 52, 1, 89, 19, 67, 48]
]
Closing
I had many suggestions, because your code had many rooms for improvement. This is not to say it was bad. It was not! I was impressed. But Haskell is an extremely featureful language, and there's almost always something more to be learned.
Cheers!
-
\$\begingroup\$ How exactly is
Grid
different from[[Int]]
? I thought that they were essentially doing the same thing. Am I missing something? \$\endgroup\$Naitik Mundra– Naitik Mundra2022年07月16日 19:15:25 +00:00Commented Jul 16, 2022 at 19:15 -
1\$\begingroup\$ @NaitikMundra A grid of integers can be represented with an
[[Int]]
. But it can also be represented as an(Int, [Int])
, where theInt
is the grid width and the[Int]
is the rows, concatenated. It could also be represented as an(Int, Int, Map (Int, Int) Int)
where the first two numbers are the dimensions and theMap
is a mapping from coordinates to non-zero values. Point being, "grid" is a concept distinct from[[Int]]
. \$\endgroup\$Quelklef– Quelklef2022年07月16日 19:39:00 +00:00Commented Jul 16, 2022 at 19:39 -
1\$\begingroup\$ I see. Thank you so much for the explanation. I understand the code much better now! \$\endgroup\$Naitik Mundra– Naitik Mundra2022年07月16日 19:39:53 +00:00Commented Jul 16, 2022 at 19:39
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