unique elements in a haskell list

Question

okay, this is probably going to be in the prelude, but: is there a standard library function for finding the unique elements in a list? my (re)implementation, for clarification, is:

has :: (Eq a) => [a] -> a -> Bool
has [] _ = False
has (x:xs) a
  | x == a    = True
  | otherwise = has xs a

unique :: (Eq a) => [a] -> [a]
unique [] = []
unique (x:xs)
  | has xs x  = unique xs
  | otherwise = x : unique xs

Answer 1

I searched for (Eq a) => [a] -> [a] on Hoogle.

First result was nub (remove duplicate elements from a list).

Hoogle is awesome.

Answer 2

import Data.Set (toList, fromList)
uniquify lst = toList $ fromList lst

Answer 3

I think that unique should return a list of elements that only appear once in the original list; that is, any elements of the orginal list that appear more than once should not be included in the result.

May I suggest an alternative definition, unique_alt:

    unique_alt :: [Int] -> [Int]
    unique_alt [] = []
    unique_alt (x:xs)
        | elem x ( unique_alt xs ) = [ y | y <- ( unique_alt xs ), y /= x ]
        | otherwise                = x : ( unique_alt xs )

Here are some examples that highlight the differences between unique_alt and unqiue:

    unique     [1,2,1]          = [2,1]
    unique_alt [1,2,1]          = [2]

    unique     [1,2,1,2]        = [1,2]
    unique_alt [1,2,1,2]        = []

    unique     [4,2,1,3,2,3]    = [4,1,2,3]
    unique_alt [4,2,1,3,2,3]    = [4,1]

Answer 4

I think this would do it.

unique [] = []
unique (x:xs) = x:unique (filter ((/=) x) xs)

Answer 5

Another way to remove duplicates:

unique :: [Int] -> [Int]
unique xs = [x | (x,y) <- zip xs [0..], x `notElem` (take y xs)]

Answer 6

Algorithm in Haskell to create a unique list:

data Foo = Foo { id_ :: Int
               , name_ :: String
               } deriving (Show)

alldata = [ Foo 1 "Name"
          , Foo 2 "Name"
          , Foo 3 "Karl"
          , Foo 4 "Karl"
          , Foo 5 "Karl"
          , Foo 7 "Tim"
          , Foo 8 "Tim"
          , Foo 9 "Gaby"
          , Foo 9 "Name"
          ]

isolate :: [Foo] -> [Foo]
isolate [] = []
isolate (x:xs) = (fst f) : isolate (snd f)
  where
    f = foldl helper (x,[]) xs
    helper (a,b) y = if name_ x == name_ y
                     then if id_ x >= id_ y
                          then (x,b)
                          else (y,b)
                     else (a,y:b)

main :: IO ()
main = mapM_ (putStrLn . show) (isolate alldata)

Output:

Foo {id_ = 9, name_ = "Name"}
Foo {id_ = 9, name_ = "Gaby"}
Foo {id_ = 5, name_ = "Karl"}
Foo {id_ = 8, name_ = "Tim"}

Answer 7

A library-based solution:

We can use that style of Haskell programming where all looping and recursion activities are pushed out of user code and into suitable library functions. Said library functions are often optimized in ways that are way beyond the skills of a Haskell beginner.

A way to decompose the problem into two passes goes like this:

1. produce a second list that is parallel to the input list, but with duplicate elements suitably marked
2. eliminate elements marked as duplicates from that second list

For the first step, duplicate elements don't need a value at all, so we can use [Maybe a] as the type of the second list. So we need a function of type:

pass1 :: Eq a => [a] -> [Maybe a]

Function pass1 is an example of stateful list traversal where the state is the list (or set) of distinct elements seen so far. For this sort of problem, the library provides the mapAccumL :: (s -> a -> (s, b)) -> s -> [a] -> (s, [b]) function.

Here the mapAccumL function requires, besides the initial state and the input list, a step function argument, of type s -> a -> (s, Maybe a).

If the current element x is not a duplicate, the output of the step function is Just x and x gets added to the current state. If x is a duplicate, the output of the step function is Nothing, and the state is passed unchanged.

Testing under the ghci interpreter:

$ ghci
 GHCi, version 8.8.4: https://www.haskell.org/ghc/  :? for help
 ?> 
 ?> stepFn s x = if (elem x s) then (s, Nothing) else (x:s, Just x)
 ?> 
 ?> import Data.List(mapAccumL)
 ?> 
 ?> pass1 xs = mapAccumL stepFn [] xs
 ?> 
 ?> xs2 = snd $ pass1 "abacrba"
 ?> xs2
 [Just 'a', Just 'b', Nothing, Just 'c', Just 'r', Nothing, Nothing]
 ?> 

Writing a pass2 function is even easier. To filter out Nothing non-values, we could use:

import Data.Maybe( fromJust, isJust)
pass2 = (map fromJust) . (filter isJust)

but why bother at all ? - as this is precisely what the catMaybes library function does.

 ?> 
 ?> import Data.Maybe(catMaybes)
 ?> 
 ?> catMaybes xs2
 "abcr"
 ?> 

Putting it all together:

Overall, the source code can be written as:

import Data.Maybe(catMaybes)
import Data.List(mapAccumL)

uniques :: (Eq a) => [a] -> [a]
uniques = let  stepFn s x = if (elem x s) then (s, Nothing) else (x:s, Just x)
          in   catMaybes . snd . mapAccumL stepFn []

This code is reasonably compatible with infinite lists, something occasionally referred to as being “laziness-friendly”:

 ?> 
 ?> take 5 $ uniques $ "abacrba" ++ (cycle "abcrf")
 "abcrf"
 ?> 

Efficiency note: If we anticipate that it is possible to find many distinct elements in the input list and we can have an Ord a instance, the state can be implemented as a Set object rather than a plain list, this without having to alter the overall structure of the solution.

Answer 8

Here's a solution that uses only Prelude functions:

uniqueList theList =
if not (null theList)
    then head theList : filter (/= head theList) (uniqueList (tail theList))
    else []

I'm assuming this is equivalent to running two or three nested "for" loops (running through each element, then running through each element again to check for other elements with the same value, then removing those other elements) so I'd estimate this is O(n^2) or O(n^3)

Might even be better than reversing a list, nubbing it, then reversing it again, depending on your circumstances.