How does the Haskell rec keyword work?
In arrow do notation, you can use the rec keyword to write recursive definitions. So for example:
rec
name <- function -< input
input <- otherFunction -< name
How can this ever evaluate? It seems like it would just go into an infinite loop or something. I know it evaluates to the loop arrow combinator, but I don't understand 开发者_开发问答how that works either.
EDIT: that powers example is really helpful. How would you write that with do notation, though? I assume you would need to use rec.
This bit of magic works due to haskells laziness. As you might know, Haskell evaluates a value when needed, not when defined. Thus, this works if you don't need the value fed in directly, or maybe later.
rec
is implemented using the loop
function of ArrowLoop
. It is defined as followed:
class Arrow a => ArrowLoop a where
loop :: a (b,d) (c,d) -> a b c
instance ArrowLoop (->) where
loop f b = let (c,d) = f (b,d) in c
You can see: The output is just fed back as the input. It will be calculated just once, because Haskell will only evaluate d
when it's needed.
Here's an actual example of how to use the loop
combinator directly. This function calculates all the powers of it's argument:
powers = loop $ \(x,l) -> (l,x:map(*x)l)
(You could also write it like this instead: powers x = fix $ (x :) . map (*x)
)
How does it works? Well, the infinite list of powers is in the l
argument. The evaluation looks like this:
powers = loop $ \(x,l) -> (l,x:map(*x)l) ==>
powers b = let (c,d) = (\(x,l) -> (l,x:map(*x)l)) (b,d) in c ==>
powers b = let (c,d) = (d,b:map(*b)d) in d ==> -- Now we apply 2 as an argument
powers 2 = let (c,d) = (d,2:map(*2)d) in d ==>
= let (c,(2:d)) = (d,2:map(*2)d) in c ==>
= let (c,(2:4:d)) = ((2:d),2:map(*2)(2:d)) in c ==>
= let (c,(2:4:8:d)) = ((2:4:d),2:map(*2)(2:4:d)) in ==> -- and so on
Here is a real-ish example:
loop f b = let (c,d) = f (b,d) in c
f (b,d) = (drop (d-2) b, length b)
main = print (loop f "Hello World")
This program outputs "ld". The function 'loop f' takes one input 'b' and creates one output 'c'. What 'f' is doing is studying 'b' to produce 'length b' which is getting returned to loop and bound to 'd'.
In 'loop' this 'd=length b' is fed into the 'f' where it is used in the calculation in drop.
This is useful for tricks like building an immutable doubly linked list (which may also be circular). It is also useful for traversing 'b' once to both produce some analytic 'd' (such as length or biggest element) and to build a new structure 'c' that depends on 'd'. The laziness avoids having to traverse 'b' twice.
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