Data.List.HT
Contents
- inits :: [a] -> [[a]]
- tails :: [a] -> [[a]]
- groupBy :: (a -> a -> Bool) -> [a] -> [[a]]
- group :: Eq a => [a] -> [[a]]
- unzip :: [(a, b)] -> ([a], [b])
- partition :: (a -> Bool) -> [a] -> ([a], [a])
- span, break :: (a -> Bool) -> [a] -> ([a], [a])
- chop :: (a -> Bool) -> [a] -> [[a]]
- breakAfter :: (a -> Bool) -> [a] -> ([a], [a])
- segmentAfter :: (a -> Bool) -> [a] -> [[a]]
- segmentBefore :: (a -> Bool) -> [a] -> [[a]]
- removeEach :: [a] -> [(a, [a])]
- splitEverywhere :: [a] -> [([a], a, [a])]
- splitLast :: [a] -> ([a], a)
- viewL :: [a] -> Maybe (a, [a])
- viewR :: [a] -> Maybe ([a], a)
- switchL :: b -> (a -> [a] -> b) -> [a] -> b
- switchR :: b -> ([a] -> a -> b) -> [a] -> b
- dropWhileRev :: (a -> Bool) -> [a] -> [a]
- takeWhileRev :: (a -> Bool) -> [a] -> [a]
- maybePrefixOf :: Eq a => [a] -> [a] -> Maybe [a]
- partitionMaybe :: (a -> Maybe b) -> [a] -> ([b], [a])
- takeWhileJust :: [Maybe a] -> [a]
- unzipEithers :: [Either a b] -> ([a], [b])
- sieve :: Int -> [a] -> [a]
- sliceHorizontal :: Int -> [a] -> [[a]]
- sliceVertical :: Int -> [a] -> [[a]]
- search :: Eq a => [a] -> [a] -> [Int]
- replace :: Eq a => [a] -> [a] -> [a] -> [a]
- multiReplace :: Eq a => [([a], [a])] -> [a] -> [a]
- shear :: [[a]] -> [[a]]
- shearTranspose :: [[a]] -> [[a]]
- outerProduct :: (a -> b -> c) -> [a] -> [b] -> [[c]]
- takeWhileMulti :: [a -> Bool] -> [a] -> [a]
- rotate :: Int -> [a] -> [a]
- mergeBy :: (a -> a -> Bool) -> [a] -> [a] -> [a]
- allEqual :: Eq a => [a] -> Bool
- isAscending :: Ord a => [a] -> Bool
- isAscendingLazy :: Ord a => [a] -> [Bool]
- mapAdjacent :: (a -> a -> b) -> [a] -> [b]
- range :: Num a => Int -> [a]
- padLeft :: a -> Int -> [a] -> [a]
- padRight :: a -> Int -> [a] -> [a]
- iterateAssociative :: (a -> a -> a) -> a -> [a]
- iterateLeaky :: (a -> a -> a) -> a -> [a]
Improved standard functions
This function is lazier than the one suggested in the Haskell 98 report.
It is inits undefined = [] : undefined,
in contrast to Data.List.inits undefined = undefined.
This function is lazier than the one suggested in the Haskell 98 report.
It is tails undefined = ([] : undefined) : undefined,
in contrast to Data.List.tails undefined = undefined.
groupBy :: (a -> a -> Bool) -> [a] -> [[a]]Source
This function compares adjacent elements of a list. If two adjacent elements satisfy a relation then they are put into the same sublist. Example:
groupBy (<) "abcdebcdef" == ["abcde","bcdef"]
In contrast to that Data.List.groupBy compares
the head of each sublist with each candidate for this sublist.
This yields
List.groupBy (<) "abcdebcdef" == ["abcdebcdef"]
The second is compared with the leading b.
Thus it is put into the same sublist as a.
a
The sublists are never empty.
Thus the more precise result type would be [(a,[a])].
unzip :: [(a, b)] -> ([a], [b])Source
Like standard unzip but more lazy.
It is Data.List.unzip undefined == undefined,
but unzip undefined == (undefined, undefined).
partition :: (a -> Bool) -> [a] -> ([a], [a])Source
Data.List.partition of GHC 6.2.1 fails on infinite lists.
But this one does not.
span, break :: (a -> Bool) -> [a] -> ([a], [a])Source
It is Data.List.span f undefined = undefined,
whereas span f undefined = (undefined, undefined).
Split
chop :: (a -> Bool) -> [a] -> [[a]]Source
Split the list at the occurrences of a separator into sub-lists.
Remove the separators.
This is somehow a generalization of lines and words.
But note the differences:
Prelude Data.List.HT> words "a a"
["a","a"]
Prelude Data.List.HT> chop (' '==) "a a"
["a","","a"]
Prelude Data.List.HT> lines "a\n\na"
["a","","a"]
Prelude Data.List.HT> chop ('\n'==) "a\n\na"
["a","","a"]
Prelude Data.List.HT> lines "a\n"
["a"]
Prelude Data.List.HT> chop ('\n'==) "a\n"
["a",""]
breakAfter :: (a -> Bool) -> [a] -> ([a], [a])Source
Like break, but splits after the matching element.
segmentAfter :: (a -> Bool) -> [a] -> [[a]]Source
Split the list after each occurence of a terminator. Keep the terminator. There is always a list for the part after the last terminator. It may be empty.
segmentBefore :: (a -> Bool) -> [a] -> [[a]]Source
Split the list before each occurence of a leading character. Keep these characters. There is always a list for the part before the first leading character. It may be empty.
removeEach :: [a] -> [(a, [a])]Source
removeEach xs represents a list of sublists of xs,
where each element of xs is removed and
the removed element is separated.
It seems to be much simpler to achieve with
zip xs (map (flip List.delete xs) xs),
but the implementation of removeEach does not need the Eq instance
and thus can also be used for lists of functions.
See also the proposal http://www.haskell.org/pipermail/libraries/2008-February/009270.html
splitEverywhere :: [a] -> [([a], a, [a])]Source
splitLast :: [a] -> ([a], a)Source
It holds splitLast xs == (init xs, last xs),
but splitLast is more efficient
if the last element is accessed after the initial ones,
because it avoids memoizing list.
List processing starting at the end
dropWhileRev :: (a -> Bool) -> [a] -> [a]Source
Remove the longest suffix of elements satisfying p.
In contrast to reverse . dropWhile p . reverse
this works for infinite lists, too.
takeWhileRev :: (a -> Bool) -> [a] -> [a]Source
Alternative version of reverse . takeWhile p . reverse.
List processing with Maybe and Either
maybePrefixOf :: Eq a => [a] -> [a] -> Maybe [a]Source
maybePrefixOf xs ys is Just zs if xs is a prefix of ys,
where zs is ys without the prefix xs.
Otherwise it is Nothing.
partitionMaybe :: (a -> Maybe b) -> [a] -> ([b], [a])Source
Partition a list into elements which evaluate to Just or Nothing by f.
It holds mapMaybe f == fst . partitionMaybe f
and partition p == partitionMaybe ( x -> toMaybe (p x) x).
takeWhileJust :: [Maybe a] -> [a]Source
unzipEithers :: [Either a b] -> ([a], [b])Source
Sieve and slice
sliceHorizontal :: Int -> [a] -> [[a]]Source
sliceVertical :: Int -> [a] -> [[a]]Source
Search&replace
multiReplace :: Eq a => [([a], [a])] -> [a] -> [a]Source
Lists of lists
Transform
[[00,01,02,...], [[00], [10,11,12,...], --> [10,01], [20,21,22,...], [20,11,02], ...] ...]
With concat . shear you can perform a Cantor diagonalization,
that is an enumeration of all elements of the sub-lists
where each element is reachable within a finite number of steps.
It is also useful for polynomial multiplication (convolution).
shearTranspose :: [[a]] -> [[a]]Source
Transform
[[00,01,02,...], [[00], [10,11,12,...], --> [01,10], [20,21,22,...], [02,11,20], ...] ...]
It's like shear but the order of elements in the sub list is reversed.
Its implementation seems to be more efficient than that of shear.
If the order does not matter, better choose shearTranspose.
outerProduct :: (a -> b -> c) -> [a] -> [b] -> [[c]]Source
Operate on each combination of elements of the first and the second list.
In contrast to the list instance of Monad.liftM2
in holds the results in a list of lists.
It holds
concat (outerProduct f xs ys) == liftM2 f xs ys
Miscellaneous
takeWhileMulti :: [a -> Bool] -> [a] -> [a]Source
Take while first predicate holds, then continue taking while second predicate holds, and so on.
mergeBy :: (a -> a -> Bool) -> [a] -> [a] -> [a]Source
Given two lists that are ordered
(i.e. p x y holds for subsequent x and y)
mergeBy them into a list that is ordered, again.
isAscending :: Ord a => [a] -> BoolSource
isAscendingLazy :: Ord a => [a] -> [Bool]Source
mapAdjacent :: (a -> a -> b) -> [a] -> [b]Source
This function combines every pair of neighbour elements in a list with a certain function.
iterateAssociative :: (a -> a -> a) -> a -> [a]Source
For an associative operation op this computes
iterateAssociative op a = iterate (op a) a
but it is even faster than map (powerAssociative op a a) [0..]
since it shares temporary results.
The idea is:
From the list map (powerAssociative op a a) [0,(2*n)..]
we compute the list map (powerAssociative op a a) [0,n..],
and iterate that until n==1.
iterateLeaky :: (a -> a -> a) -> a -> [a]Source
This is equal to iterateAssociative.
The idea is the following:
The list we search is the fixpoint of the function:
Square all elements of the list,
then spread it and fill the holes with successive numbers
of their left neighbour.
This also preserves log n applications per value.
However it has a space leak,
because for the value with index n
all elements starting at div n 2 must be kept.