I have written a function called 'oddOf' that correctly determines whether or not a given value has an odd number of presences in a list. It is defined like so:
oddOf :: (Eq a) => a -> [a] -> Bool
oddOf value list = oddOf' value list False
where oddOf' val (x:xs) acc = if x == val
then oddOf' val xs (not acc)
else oddOf' val xs acc
oddOf' _ _ acc = acc
I would like to write a function that determines whether or not a given value has an even number of presences in a list. When presented with binary choices such as these, it is the best practice to implement one and define the other as 'not its complement'. With that in mind, I tried out the definition:
evenOf = not oddOf
To me, that looks like a reasonable partially-applied function, but it is not valid Haskell code. What is it about the language that I need to understand better? What is the elegant way to define evenOf that I am looking for?
Higher Order Functions Because functions are objects we can pass them as arguments to other functions. Functions that can accept other functions as arguments are also called higher-order functions.
A function is defined as a relation between a set of inputs having one output each. In simple words, a function is a relationship between inputs where each input is related to exactly one output. Every function has a domain and codomain or range. A function is generally denoted by f(x) where x is the input.
Nested functions A function is called “nested” when it is created inside another function. It is easily possible to do this with JavaScript. Here the nested function getFullName() is made for convenience. It can access the outer variables and so can return the full name.
A function is simply a “chunk” of code that you can use over and over again, rather than writing it out multiple times. Functions enable programmers to break down or decompose a problem into smaller chunks, each of which performs a particular task.
It's good practice to be thinking about code reuse this way, and I'll get to that, but first:
Using function composition to write more neatly
Can I first point out as an aside that I would define your oddOf
function more simply using existing functions:
oddOf :: Eq a -> a -> [a] -> Bool
oddOf value list = odd . length . filter (== value) $ list
f $ x = f x
but has low precedence, so that's a neater way of writing (not . even . length . filter (== value) ) list
.
This works by composing functions; we take the list and filter it so we get just the ones that equal the value
, using partial application of (==)
in the form of an 'operator section' (== value) :: Eq a => a -> Bool
. Next we find the length
of that, check if it's even
, then finally negate the answer with not
. This hints at a concise way of writing evenOf
:
evenOf :: Eq a -> a -> [a] -> Bool
evenOf value list = even . length . filter (== value) $ list
In fact, since the prelude defines odd
as not . even
it would be very slightly simpler to start with evenOf
and define oddOf
from that.
Why not . oddOf
isn't what you wanted
Looking at types, you have
not :: Bool -> Bool
oddOf :: Eq a => a -> [a] -> Bool
(.) :: (b -> bb) -> (a -> b) -> a -> bb -- function composition
Now ->
associates to the right, which means that really,
oddOf :: Eq a => a -> ([a] -> Bool)
Secretly, that means that Haskell functions only ever take one argument! (What we think of as functions that take more than one argument are actually functions that take one argument then return a function that'll take another, etc...) Unfortunately that means we can't match the types up with (.)
directly, because we'd need b
to be Bool
, not [a] -> Bool
.
OK, sorry I took a while to get to the answer you wanted, but I think that was all worth saying.
Simple solution 1 is writing evenOf
with function composition as I showed you above.
oddOf value list = odd . length . filter (== value) $ list
evenOf value list = even . length . filter (== value) $ list
Simple solution 2 is writing evenOf
directly from oddOf
by supplying all the arguments:
evenOf value list = not $ oddOf value list
oddOf value list = odd . length . filter (== value) $ list
Simple solution 3 is writing evenOf value
by composing not
with oddOf value
The only problem with not.oddOf
was that oddOf
doesn't return a Bool
directly, it returns a [a]->Bool
. We can fix this by supplying one of the arguments. Notice that oddOf value
has type Eq a => [a] -> Bool
so we can compose that with not
, because it does return a Bool
:
evenOf value = not . oddOf value
oddOf value list = odd . length . filter (== value) $ list
Simple solution 4 is putting together simple solutions 1 and 2 to write oddOf
using evenOf
instead:
oddOf value list = not $ evenOf value list
evenOf value list = even . length . filter (== value) $ list
(You could, of course, do the same thing to simple solutions 1 and 3.)
Every Haskell programmer should read Conal Elliott's excellent semantic editor combinators webpage/article.
In particular, you should read it since it answers your question title "Defining Functions In Relation To Other Functions Without Considering Implementation Details" in a very general way; "Semantic Editor Combinators" is Conal's phrase for exactly that concept.
The main idea is that you can edit a function after it's written by writing a sort of path to the value you want to change in brackets, the function you want to apply at that point, then the original function. In this case, you need to apply not
to the result (::Bool
) of the result (::Eq a => [a]->Bool
) of the original function (:: Eq a => a -> [a] -> Bool
).
So if you want to edit the result of the result with not
, you do:
oddOf = (result.result) not evenOf
evenOf value list = even . length . filter (== value) $ list
Conal Elliott defines result = (.)
because it's conceptually easier, but you could define
oddOf = ((.).(.)) not evenOf
evenOf value list = even . length . filter (== value) $ list
directly if you prefer.
If you needed to change more :: a -> b -> [a] -> [b] -> Bool
, you could use
less = (result.result.result.result) not more
or
less = ((.).(.).(.).(.)) not more
Using the same idea, you can change inside a list, part of a pair, one of the arguments,...
Read the paper for a deeper and fuller explanation.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With