Copyright | Nils Anders Danielsson 2006 Alexander Berntsen 2014 |
---|---|
License | BSD-style (see the LICENSE file in the distribution) |
Maintainer | libraries@haskell.org |
Stability | stable |
Portability | portable |
Safe Haskell | Safe |
Language | Haskell2010 |
- Prelude re-exports
- Other combinators
Simple combinators working solely on and with functions.
Prelude re-exports
Identity function.
id x = x
This function might seem useless at first glance, but it can be very useful in a higher order context.
Examples
>>>
length $ filter id [True, True, False, True]
3
>>>
Just (Just 3) >>= id
Just 3
>>>
foldr id 0 [(^3), (*5), (+2)]
1000
const x y
always evaluates to x
, ignoring its second argument.
const x = \_ -> x
This function might seem useless at first glance, but it can be very useful in a higher order context.
Examples
>>>
const 42 "hello"
42
>>>
map (const 42) [0..3]
[42,42,42,42]
(.) :: (b -> c) -> (a -> b) -> a -> c infixr 9 Source #
Right to left function composition.
(f . g) x = f (g x)
f . id = f = id . f
Examples
>>>
map ((*2) . length) [[], [0, 1, 2], [0]]
[0,6,2]
>>>
foldr (.) id [(+1), (*3), (^3)] 2
25
>>>
let (...) = (.).(.) in ((*2)...(+)) 5 10
30
flip :: (a -> b -> c) -> b -> a -> c Source #
takes its (first) two arguments in the reverse order of flip
ff
.
flip f x y = f y x
flip . flip = id
Examples
>>>
flip (++) "hello" "world"
"worldhello"
>>>
let (.>) = flip (.) in (+1) .> show $ 5
"6"
($) :: (a -> b) -> a -> b infixr 0 Source #
is the function application operator.($)
Applying
to a function ($)
f
and an argument x
gives the same result as applying f
to x
directly. The definition is akin to this:
($) :: (a -> b) -> a -> b ($) f x = f x
This is
specialized from id
a -> a
to (a -> b) -> (a -> b)
which by the associativity of (->)
is the same as (a -> b) -> a -> b
.
On the face of it, this may appear pointless! But it's actually one of the most useful and important operators in Haskell.
The order of operations is very different between ($)
and normal function application. Normal function application has precedence 10 - higher than any operator - and associates to the left. So these two definitions are equivalent:
expr = min 5 1 + 5 expr = ((min 5) 1) + 5
($)
has precedence 0 (the lowest) and associates to the right, so these are equivalent:
expr = min 5 $ 1 + 5 expr = (min 5) (1 + 5)
Examples
A common use cases of ($)
is to avoid parentheses in complex expressions.
For example, instead of using nested parentheses in the following Haskell function:
-- | Sum numbers in a string: strSum "100 5 -7" == 98 strSum ::String
->Int
strSum s =sum
(mapMaybe
readMaybe
(words
s))
we can deploy the function application operator:
-- | Sum numbers in a string: strSum "100 5 -7" == 98 strSum ::String
->Int
strSum s =sum
$
mapMaybe
readMaybe
$
words
s
($)
is also used as a section (a partially applied operator), in order to indicate that we wish to apply some yet-unspecified function to a given value. For example, to apply the argument 5
to a list of functions:
applyFive :: [Int] applyFive = map ($ 5) [(+1), (2^)] >>> [6, 32]
Technical Remark (Representation Polymorphism)
($)
is fully representation-polymorphic. This allows it to also be used with arguments of unlifted and even unboxed kinds, such as unboxed integers:
fastMod :: Int -> Int -> Int fastMod (I# x) (I# m) = I# $ remInt# x m
Other combinators
(&) :: a -> (a -> b) -> b infixl 1 Source #
&
is a reverse application operator. This provides notational
convenience. Its precedence is one higher than that of the forward
application operator $
, which allows &
to be nested in $
.
This is a version of
, where flip
id
id
is specialized from a -> a
to (a -> b) -> (a -> b)
which by the associativity of (->)
is (a -> b) -> a -> b
.
flipping this yields a -> (a -> b) -> b
which is the type signature of &
Examples
>>>
5 & (+1) & show
"6"
>>>
sqrt $ [1 / n^2 | n <- [1..1000]] & sum & (*6)
3.1406380562059946
@since base-4.8.0.0
is the least fixed point of the function fix
ff
,
i.e. the least defined x
such that f x = x
.
When f
is strict, this means that because, by the definition of strictness,
f ⊥ = ⊥
and such the least defined fixed point of any strict function is ⊥
.
Examples
We can write the factorial function using direct recursion as
>>>
let fac n = if n <= 1 then 1 else n * fac (n-1) in fac 5
120
This uses the fact that Haskell’s let
introduces recursive bindings. We can
rewrite this definition using fix
,
Instead of making a recursive call, we introduce a dummy parameter rec
;
when used within fix
, this parameter then refers to fix
’s argument, hence
the recursion is reintroduced.
>>>
fix (\rec n -> if n <= 1 then 1 else n * rec (n-1)) 5
120
Using fix
, we can implement versions of repeat
as
and fix
.
(:)
cycle
as fix
.
(++)
>>>
take 10 $ fix (0:)
[0,0,0,0,0,0,0,0,0,0]
>>>
map (fix (\rec n -> if n < 2 then n else rec (n - 1) + rec (n - 2))) [1..10]
[1,1,2,3,5,8,13,21,34,55]
Implementation Details
on :: (b -> b -> c) -> (a -> b) -> a -> a -> c infixl 0 Source #
runs the binary function on
b u x yb
on the results of applying
unary function u
to two arguments x
and y
. From the opposite
perspective, it transforms two inputs and combines the outputs.
(op `on
` f) x y = f x `op
` f y
Examples
>>>
sortBy (compare `on` length) [[0, 1, 2], [0, 1], [], [0]]
[[],[0],[0,1],[0,1,2]]
>>>
((+) `on` length) [1, 2, 3] [-1]
4
>>>
((,) `on` (*2)) 2 3
(4,6)
Algebraic properties
applyWhen :: Bool -> (a -> a) -> a -> a Source #
applyWhen
applies a function to a value if a condition is true,
otherwise, it returns the value unchanged.
It is equivalent to
.flip
(bool
id
)
Examples
>>>
map (\x -> applyWhen (odd x) (*2) x) [1..10]
[2,2,6,4,10,6,14,8,18,10]
>>>
map (\x -> applyWhen (length x > 6) ((++ "...") . take 3) x) ["Hi!", "This is amazing", "Hope you're doing well today!", ":D"]
["Hi!","Thi...","Hop...",":D"]