Safe Haskell | None |
---|---|
Language | Haskell2010 |
DeferredFolds.Types
Documentation
A projection on data, which only knows how to execute a strict left-fold.
It is a monad and a monoid, and is very useful for
efficiently aggregating the projections on data intended for left-folding,
since its concatenation (<>
) has complexity of O(1)
.
- Intuition
The intuition for this abstraction can be derived from lists.
Let's consider the foldl
` function for lists:
foldl' :: (b -> a -> b) -> b -> [a] -> b
If we reverse its parameters we get
foldl' :: [a] -> (b -> a -> b) -> b -> b
Which in Haskell is essentially the same as
foldl' :: [a] -> (forall b. (b -> a -> b) -> b -> b)
We can isolate that part into an abstraction:
newtype Unfoldl a = Unfoldl (forall b. (b -> a -> b) -> b -> b)
Then we get to this simple morphism:
list :: [a] -> Unfoldl a list list = Unfoldl (\ step init -> foldl' step init list)
We can do the same with say Data.Text.Text:
text :: Text -> Unfoldl Char text text = Unfoldl (\ step init -> Data.Text.foldl' step init text)
And then we can use those both to concatenate with just an O(1)
cost:
abcdef :: Unfoldl Char abcdef = list ['a', 'b', 'c'] <> text "def"
Please notice that up until this moment no actual data materialization has happened and hence no traversals have appeared. All that we've done is just composed a function, which only specifies which parts of data structures to traverse to perform a left-fold. Only at the moment where the actual folding will happen will we actually traverse the source data. E.g., using the "fold" function:
abcdefLength :: Int abcdefLength = fold Control.Foldl.length abcdef
Constructors
Unfoldl (forall x. (x -> a -> x) -> x -> x) |
Instances
A monadic variation of DeferredFolds.Unfoldl
Constructors
UnfoldlM (forall x. (x -> a -> m x) -> x -> m x) |
Instances
A projection on data, which only knows how to execute a right-fold.
It is a monad and a monoid, and is very useful for
efficiently aggregating the projections on data intended for right-folding,
since its concatenation (<>
) has complexity of O(1)
.
- Intuition
The intuition of what this abstraction is all about can be derived from lists.
Let's consider the foldr
function for lists:
foldr :: (a -> b -> b) -> b -> [a] -> b
If we reverse its parameters we get
foldr :: [a] -> (a -> b -> b) -> b -> b
Which in Haskell is essentially the same as
foldr :: [a] -> (forall b. (a -> b -> b) -> b -> b)
We can isolate that part into an abstraction:
newtype Unfoldr a = Unfoldr (forall b. (a -> b -> b) -> b -> b)
Then we get to this simple morphism:
list :: [a] -> Unfoldr a list list = Unfoldr (\ step init -> foldr step init list)
We can do the same with say Data.Text.Text:
text :: Text -> Unfoldr Char text text = Unfoldr (\ step init -> Data.Text.foldr step init text)
And then we can use those both to concatenate with just an O(1)
cost:
abcdef :: Unfoldr Char abcdef = list ['a', 'b', 'c'] <> text "def"
Please notice that up until this moment no actual data materialization has happened and hence no traversals have appeared. All that we've done is just composed a function, which only specifies which parts of data structures to traverse to perform a right-fold. Only at the moment where the actual folding will happen will we actually traverse the source data. E.g., using the "fold" function:
abcdefLength :: Int abcdefLength = fold Control.Foldl.length abcdef
Constructors
Unfoldr (forall x. (a -> x -> x) -> x -> x) |