I'm writing a program that reads from a list of files. The each file either contains a link to the next file or marks that it's the end of the chain.
Being new to Haskell, it seemed like the idiomatic way to handle this is is a lazy list of possible files to this end, I have
getFirstFile :: String -> DataFile
getNextFile :: Maybe DataFile -> Maybe DataFile
loadFiles :: String -> [Maybe DataFile]
loadFiles = iterate getNextFile . Just . getFirstFile
getFiles :: String -> [DataFile]
getFiles = map fromJust . takeWhile isJust . loadFiles
So far, so good. The only problem is that, since getFirstFile and getNextFile both need to open files, I need their results to be in the IO monad. This gives the modified form of
getFirstFile :: String -> IO DataFile
getNextFile :: Maybe DataFile -> IO (Maybe DataFile)
loadFiles :: String -> [IO Maybe DataFile]
loadFiles = iterate (getNextFile =<<) . Just . getFirstFile
getFiles :: String -> IO [DataFile]
getFiles = liftM (map fromJust . takeWhile isJust) . sequence . loadFiles
The problem with this is that, since iterate returns an infinite list, sequence becomes an infinite loop. I'm not sure how to proceed from here. Is there a lazier form of sequence that won't hit all of the list elements? Should I be rejiggering the map and takeWhile to be operating inside the IO monad for each list element? Or do I need to drop the whole infinite list process and write a recursive function to terminate the list manually?
As you all know, lists in Haskell can be infinite. This capability is a natural consequence of Haskell's lazy evaluation. An infinite list in Haskell is no problem since Haskell will lazily generate only as much of the list as is needed, when it is needed.
But in Haskell, you only need to allocate space for the items in the list that actually get evaluated. The two most basic functions for creating an infinite list are "repeat" and "cycle". The first makes an infinite number of the same element, while the second allows you to cycle through a specific series of elements.
Haskell separates pure functions from computations where side effects must be considered by encoding those side effects as values of a particular type. Specifically, a value of type (IO a) is an action, which if executed would produce a value of type a .
A step in the right direction
What puzzles me is getNextFile
. Step into a simplified world with me, where we're not dealing with IO yet. The type is Maybe DataFile -> Maybe DataFile
. In my opinion, this should simply be DataFile -> Maybe DataFile
, and I will operate under the assumption that this adjustment is possible. And that looks like a good candidate for unfoldr
. The first thing I am going to do is make my own simplified version of unfoldr, which is less general but simpler to use.
import Data.List
-- unfoldr :: (b -> Maybe (a,b)) -> b -> [a]
myUnfoldr :: (a -> Maybe a) -> a -> [a]
myUnfoldr f v = v : unfoldr (fmap tuplefy . f) v
where tuplefy x = (x,x)
Now the type f :: a -> Maybe a
matches getNextFile :: DataFile -> Maybe DataFile
getFiles :: String -> [DataFile]
getFiles = myUnfoldr getNextFile . getFirstFile
Beautiful, right? unfoldr
is a lot like iterate
, except once it hits Nothing
, it terminates the list.
Now, we have a problem. IO
. How can we do the same thing with IO
thrown in there? Don't even think about The Function Which Shall Not Be Named. We need a beefed up unfoldr to handle this. Fortunately, the source for unfoldr is available to us.
unfoldr :: (b -> Maybe (a, b)) -> b -> [a]
unfoldr f b =
case f b of
Just (a,new_b) -> a : unfoldr f new_b
Nothing -> []
Now what do we need? A healthy dose of IO
. liftM2 unfoldr
almost gets us the right type, but won't quite cut it this time.
An actual solution
unfoldrM :: Monad m => (b -> m (Maybe (a, b))) -> b -> m [a]
unfoldrM f b = do
res <- f b
case res of
Just (a, b') -> do
bs <- unfoldrM f b'
return $ a : bs
Nothing -> return []
It is a rather straightforward transformation; I wonder if there is some combinator that could accomplish the same.
Fun fact: we can now define unfoldr f b = runIdentity $ unfoldrM (return . f) b
Let's again define a simplified myUnfoldrM
, we just have to sprinkle in a liftM
in there:
myUnfoldrM :: Monad m => (a -> m (Maybe a)) -> a -> m [a]
myUnfoldrM f v = (v:) `liftM` unfoldrM (liftM (fmap tuplefy) . f) v
where tuplefy x = (x,x)
And now we're all set, just like before.
getFirstFile :: String -> IO DataFile
getNextFile :: DataFile -> IO (Maybe DataFile)
getFiles :: String -> IO [DataFile]
getFiles str = do
firstFile <- getFirstFile str
myUnfoldrM getNextFile firstFile
-- alternatively, to make it look like before
getFiles' :: String -> IO [DataFile]
getFiles' = myUnfoldrM getNextFile <=< getFirstFile
By the way, I typechecked all of these with data DataFile = NoClueWhatGoesHere
, and the type signatures for getFirstFile
and getNextFile
, with their definitions set to undefined
.
[edit] changed myUnfoldr
and myUnfoldrM
to behave more like iterate
, including the initial value in the list of results.
[edit] Additional insight on unfolds:
If you have a hard time wrapping your head around unfolds, the Collatz sequence is possibly one of the simplest examples.
collatz :: Integral a => a -> Maybe a
collatz 1 = Nothing -- the sequence ends when you hit 1
collatz n | even n = Just $ n `div` 2
| otherwise = Just $ 3 * n + 1
collatzSequence :: Integral a => a -> [a]
collatzSequence = myUnfoldr collatz
Remember, myUnfoldr
is a simplified unfold for the cases where the "next seed" and the "current output value" are the same, as is the case for collatz. This behavior should be easy to see given myUnfoldr
's simple definition in terms of unfoldr
and tuplefy x = (x,x)
.
ghci> collatzSequence 9
[9,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1]
More, mostly unrelated thoughts
The rest has absolutely nothing to do with the question, but I just couldn't resist musing. We can define myUnfoldr
in terms of myUnfoldrM
:
myUnfoldr f v = runIdentity $ myUnfoldrM (return . f) v
Look familiar? We can even abstract this pattern:
sinkM :: ((a -> Identity b) -> a -> Identity c) -> (a -> b) -> a -> c
sinkM hof f = runIdentity . hof (return . f)
unfoldr = sinkM unfoldrM
myUnfoldr = sinkM myUnfoldrM
sinkM
should work to "sink" (opposite of "lift") any function of the form
Monad m => (a -> m b) -> a -> m c
.
since the Monad m
in those functions can be unified with the Identity
monad constraint of sinkM
. However, I don't see anything that sinkM
would actually be useful for.
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