This post is a response to the Edward's tweet:
Now try to fit all of the indexed and index-preserving variants. ;) Edward Kmett
Which in turn is a reply to my previous post: Glassery.
First I'll show how we can implement indexed optics using a newtype Indexed
, as purescricpt-profunctor-lenses
(version 3.2.0) does. This approach is already mentioned in Glassery, but I'll also compare it to the lens
encoding.
The rest of the post is novel, at least I haven't seen such tehnicque applied to lenses before. By indexing a profunctor itself (p i a b
), we regain the flexibility of lens
approach (Section: Indexed profunctor). This approach also scales to so called "coindexing", so it's possible to extract "coindexes", e.g. reason why or where Prism
failed (Section: Coindexed).
This blog post introduces a type alias with 9 (nine) variables:
type IndexedOpticJ p i j k l s t a b =
p i j a b -> p k l s t
{-# LANGUAGE DefaultSignatures #-}
{-# LANGUAGE GADTs #-}
{-# LANGUAGE RankNTypes #-}
{-# LANGUAGE TupleSections #-}
module IndexedPoptics where
import Control.Applicative (Const (..))
import Control.Lens (TraversableWithIndex (itraverse))
import Data.Bifunctor
import Data.Constraint
import Data.Functor (void)
import Data.Monoid (Endo (..))
import Data.Semigroup (Semigroup (..))
import Data.Pointed
import Data.Profunctor
import Data.Profunctor.Traversing
import Test.HUnit
import qualified Control.Lens as L
This work is licensed under a “CC BY SA 4.0” license.
The current way to do indexed optics in profunctor encoding is to use a newtype
newtype Indexed p i a b = Indexed { runIndexed :: p (i, a) b }
type Optic p s t a b = p a b -> p s t
type IndexedOptic p i s t a b = Indexed p i a b -> p s t
That's the approach taken by purescricpt-profunctor-lenses
(version 3.2.0).
Definition of indexed traversal if not complicated, we don't need new type-classes: the old friend Traversing
is enough:
itraversed :: (TraversableWithIndex i t, Traversing p)
=> IndexedOptic p i (t a) (t b) a b
itraversed (Indexed piab) = wander (itraverse . curry) piab
We'll use itoListOf
in the examples.
itoListOf :: IndexedOptic (Forget [(i, a)]) i s s a a
-> s -> [(i, a)]
itoListOf o = runForget (o (Indexed (Forget (:[]))))
The definition is similar to regular toListOf
toListOf :: Optic (Forget [a]) s s a a
-> s -> [a]
toListOf o = runForget (o (Forget (:[])))
We can combine indexed and regular optics, without problems, using function composition:
newtype_ex2 =
itoListOf (itraversed . traverse') ["foo", "bar"]
~=?
[(0,'f'),(0,'o'),(0,'o'),(1,'b'),(1,'a'),(1,'r')]
newtype_ex3 =
itoListOf (traverse' . itraversed) ["foo", "bar"]
~=?
[(0,'f'),(1,'o'),(2,'o'),(0,'b'),(1,'a'),(2,'r')]
newtype_ex4 =
itoListOf itraversed "foobar"
~=?
[(0,'f'),(1,'o'),(2,'o'),(3,'b'),(4,'a'),(5,'r')]
Combining two indexed optics directly won't work.
itoListOf (itraversed . itraversed) ["foo", "bar"]
<interactive>:77:10: error:
• Couldn't match type ‘p’ with ‘Indexed p Int’
That's because the type of the result optics has two Indexed
, but definition of itoListOf
requires only single one!
newtype_ex1 :: ( Traversing p
, TraversableWithIndex i1 t1
, TraversableWithIndex i2 t2
)
=> Indexed (Indexed p i1) i2 a b
-> p (t1 (t2 a)) (t1 (t2 b))
newtype_ex1 = itraversed . itraversed
So we need to define a special combinator for the optic composition:
icompose :: Profunctor p
=> (i -> j -> k)
-> (Indexed p i u v -> p s t)
-> (Indexed (Indexed p i) j a b -> Indexed p i u v)
-> (Indexed p k a b -> p s t)
icompose ijk stuv uvab ab = icompose' ijk
(stuv . Indexed)
(runIndexed . uvab . Indexed . Indexed)
(runIndexed ab)
icompose' :: Profunctor p
=> (i -> j -> k)
-> (p (i, u) v -> p s t)
-> (p (i, (j, a)) b -> p (i, u) v)
-> (p (k, a) b -> p s t)
icompose' ijk stuv uvab ab = stuv (uvab (lmap f ab))
where
f (i, (j, a)) = (ijk i j, a)
newtype_ex5 =
itoListOf (icompose (,) itraversed itraversed) ["foo", "bar"]
~=?
[((0,0),'f'),((0,1),'o'),((0,2),'o')
,((1,0),'b'),((1,1),'a'),((1,2),'r')
]
Alternatively we can use an OpticLike
, which let us combine the indices in the optic building "pipeline":
flattenIndices
:: Profunctor p
=> (i -> j -> k)
-> Indexed p k a b
-> Indexed (Indexed p i) j a b
flattenIndices ijk (Indexed kab) = Indexed (Indexed (lmap f kab))
where
f (i, (j, a)) = (ijk i j, a)
newtype_ex6 =
itoListOf (itraversed . itraversed . flattenIndices (,)) ["foo", "bar"]
~=?
[((0,0),'f'),((0,1),'o'),((0,2),'o')
,((1,0),'b'),((1,1),'a'),((1,2),'r')
]
In lens
, if we combine two indexed optics we'll get the latter index: (profunctor: type-error).
lens_ex1 =
L.itoListOf (L.itraversed . L.itraversed) ["foo", "bar"]
~?=
[(0,'f'),(1,'o'),(2,'o'),(0,'b'),(1,'a'),(2,'r')]
We should use icompose
(or <.>
) to combine indices:
lens_ex2 =
L.itoListOf (L.icompose (,) L.itraversed L.itraversed) ["foo", "bar"]
~?=
[((0,0),'f'),((0,1),'o'),((0,2),'o')
,((1,0),'b'),((1,1),'a'),((1,2),'r')]
On the other hand, in lens
indexed optics degrade to regular one when used by a regular operation:
lens_ex3 =
L.toListOf L.itraversed [1, 2, 3]
~=?
[1,2,3]
Profunctor version fails with a type error:
toListOf itraversed [1,2,3]
<interactive>:274:25: error:
• Couldn't match type ‘Forget [a] a a’
with ‘Indexed (Forget [a]) Int Integer Integer’
We must remove the index explicitly:
unindexed :: Profunctor p
=> p a b
-> Indexed p i a b
unindexed = Indexed . lmap snd
newtype_ex7 =
toListOf (itraversed . unindexed) "foo"
~=?
"foo"
So the Profunctor encoding using newtype Indexed
is more rigid. We have to be explicit about the index (or indices). Whether this is good or bad: depends.
Some might think that being explicit is good. On the other hand, the implicitness of lens
is not a problem. If we have type redundancy, forcing a type of the result; you'll get a type-error if lens
es are combined with wrong combinator. A bit later than when building up the optic (and not annotating it with a type-signature) though.
The print (itoListOf o s)
examples doesn't have such redundancy, so the issue may seem bigger than it is.
Inlens
, we can get away with having indexed optics because we have two type parameters, and when you go to compose two optics with(.)
, the profunctor part automatically selectsp = (->)
by unification, for the optics that supply indices, as composing a couple things of the form Edward Kmett
Or as Matthew Pickering put it: there are two parameters in lens encoding, p
and f
. By varying the f
, we can change the lens type (Lens
, Getter
, Fold
or Traversal
) and by varying p
we can vary between indexed and regular variants.
That's a good insight. We can add an additional degree of freedom to the profunctor encoding:
type IndexedOpticI p i o s t a b = p i a b -> p o s t
type IndexedOpticI' p i o s a = p i a a -> p o s s
The idea is to have index variable on both side of the arrow! Instead of stacking up Indexed
, we'll stack up something on top of o
. The example will make this more concrete. Let's make an indexed traversal.
We have to introduce a new class TraversingWithIndex
.
class IndexedProfunctor p => TraversingWithIndex p where
itraversedI :: TraversableWithIndex i t
=> IndexedOpticI p (i, o) o (t a) (t b) a b
itraversedI = iwanderI itraverse
iwanderI :: (forall f. Applicative f
=> (i -> a -> f b)
-> (s -> f t))
-> IndexedOpticI p (i, o) o s t a b
-- It should be possible to write a default implementation
-- using itraversedI
-- Not strictly necessary.
traversingDictI :: Dict (Traversing (p i))
-- or we could use Forall from Data.Constraint.Forall
default traversingDictI :: Traversing (p i) => Dict (Traversing (p i))
traversingDictI = Dict
class IndexedProfunctor p where
ilmap :: (i -> j) -> p j a b -> p i a b
Note that indexes of IndexedOptics
are related: (i, o)
and o
. Every IndexedTraversal
in the chain would add an additional index. There's an engineering problem: what kind relation would be the most convenient for a practical usage (should we use DataKinds
and type-level lists?). For now we'll use tuples, and keep used language extensions to the minimum.
indexed_ex1 :: ( TraversingWithIndex p
, TraversableWithIndex i1 t1
, TraversableWithIndex i2 t2
)
=> p (i2, (i1, o)) a b
-> p o (t1 (t2 a)) (t1 (t2 b))
indexed_ex1 = itraversedI . itraversedI
The next step is to define a profunctor implementing that class. The Star
is good template, we only need to add an index:
newtype StarI f i a b
= StarI { runStarI :: i -> a -> f b }
another one is a variant of Forget
which forgets the index as well:
newtype ForgetI r i a b = ForgetI { runForgetI :: a -> r }
and the one which doesn't:
newtype IndexedForget r i a b =
IndexedForget { runIndexedForget :: i -> a -> r }
Using ForgetI
we can define normal operations,
toListOfI :: IndexedOpticI' (ForgetI (Endo [a])) i o s a -> s -> [a]
toListOfI o s = appEndo (foldMapOfI o (Endo . (:)) s) []
foldMapOfI :: IndexedOpticI' (ForgetI r) i o s a -> (a -> r) -> s -> r
foldMapOfI o f = runForgetI (o (ForgetI f))
and using IndexedForget
the indexed variants:
itoListOfI :: IndexedOpticI' (IndexedForget (Endo [(i, a)])) i () s a
-> s -> [(i, a)]
itoListOfI o s = appEndo (ifoldMapOfI o (\i a -> Endo ((i,a):)) s) []
ifoldMapOfI :: IndexedOpticI' (IndexedForget r) i () s a
-> (i -> a -> r) -> s -> r
ifoldMapOfI o f = runIndexedForget (o (IndexedForget f)) ()
Now we can use toListOfI
on the indexed optic!
indexed_ex2 =
toListOfI (itraversedI . itraversedI) [[1,2],[3,4,5]]
~=?
[1,2,3,4,5]
or itoListOf
, though we get very ugly indexes:
indexed_ex3 =
itoListOfI (itraversedI . itraversedI) [[1,2],[3,4,5]]
~=?
[((0,(0,())),1),((1,(0,())),2),((0,(1,())),3)
,((1,(1,())),4),((2,(1,())),5)
]
It's possible to write a variant itoListOf
with a type signature requiring single index:
itoListOfI' :: IndexedOpticI' (IndexedForget (Endo [(i, a)])) (i, ()) () s a
-> s -> [(i, a)]
itoListOfI' o s =
appEndo (ifoldMapOfI o (\(i, ()) a -> Endo ((i,a):)) s) []
As with the newtype variant, it's possible to flatten indices. In fact ilmap
is a general index mapping function.
flattenIndicesI
:: IndexedProfunctor p
=> (i -> j -> k)
-> p (k, z) a b
-> p (j, (i, z)) a b
flattenIndicesI f = ilmap g where
g (j, (i, z)) = (f i j, z)
indexed_ex4 =
itoListOfI' (itraversedI . itraversedI . flattenIndicesI (,))
["foo", "bar"]
~=?
[((0,0),'f'),((0,1),'o'),((0,2),'o')
,((1,0),'b'),((1,1),'a'),((1,2),'r')
]
We can compose indexed and regular optics using function composition dot, .
:
indexed_ex5 =
itoListOfI' (itraversedI . traverse') ["foo", "bar"]
~=?
[(0,'f'),(0,'o'),(0,'o'),(1,'b'),(1,'a'),(1,'r')]
indexed_ex6 =
itoListOfI' (traverse' . itraversedI) ["foo", "bar"]
~=?
[(0,'f'),(1,'o'),(2,'o'),(0,'b'),(1,'a'),(2,'r')]
Graceful degradation from indexed to regular optics is possible with profunctor optics too. The key idea is to make every optic indexed (kind of)!
The engineering challenge here, is to design an algebra for indices. With DataKinds
and type-level lists and type-families to tuples, the API can be made quite nice (I guess, hopefully there aren't some nastiness for type-inference).
One option to make IndexedOpticI
elegant, is instead of nesting tuples, we could use (->) version:
class IndexedProfunctor p => TraversingWithIndexC p where
itraversedC :: (TraversableWithIndex i t)
=> IndexedOpticI p r (i -> r) (t a) (t b) a b
itraversedC = iwanderC itraverse
iwanderC :: (forall f. Applicative f
=> (i -> a -> f b)
-> (s -> f t))
-> IndexedOpticI p r (i -> r) s t a b
The combination has a nice type:
cps_ex1 :: ( TraversingWithIndexC p
, TraversableWithIndex i t, TraversableWithIndex i' t'
)
=> IndexedOpticI p r (i -> i' -> r) (t (t' a)) (t (t' b)) a b
cps_ex1 = itraversedC . itraversedC
Defining operations is not complicated, we have to be just a bit more clever in the instantiation:
itoListOfC :: IndexedOpticI' (IndexedForget [(i, a)]) i (i -> i) s a
-> s -> [(i, a)]
itoListOfC o = ifoldMapOfC o (\i a -> [(i, a)])
ifoldMapOfC :: IndexedOpticI' (IndexedForget r) i (i -> i) s a
-> (i -> a -> r) -> s -> r
ifoldMapOfC o f = runIndexedForget (o (IndexedForget f)) id
The double-index example may clarify better: the first index of the optic is instantiated to the "joint" index type, and the latter to the function to produce the joint index from the actual two.
ifoldMapOfC2 :: IndexedOpticI' (IndexedForget r) k (i -> j -> k) s a
-> (i -> j -> k) -> (k -> a -> r) -> s -> r
ifoldMapOfC2 o ijk f = runIndexedForget (o (IndexedForget f)) ijk
And we can fuse the two function arguments above;
ifoldMapOfC2' :: IndexedOpticI' (IndexedForget r)
(a -> r) (i -> j -> a -> r) s a
-> (i -> j -> a -> r) -> s -> r
ifoldMapOfC2' o f = runIndexedForget (o (IndexedForget id)) f
To write the examples will use a flattenIndicesC
. Note: Now we have to precompose with it.
flattenIndicesC
:: IndexedProfunctor p
=> (i -> j -> k)
-> p (i -> j -> z) a b
-> p (k -> z) a b
flattenIndicesC f = ilmap (\g i j -> g (f i j))
And the example:
cps_ex2 =
itoListOfC (flattenIndicesC (,) . itraversedC . itraversedC)
[[1,2],[3,4,5]]
~=?
[((0,0),1),((0,1),2),((1,0),3),((1,1),4),((1,2),5)]
or using ifoldMapOfC2'
:
cps_ex3 =
ifoldMapOfC2' (itraversedC . itraversedC) (\i j a -> [(i,j,a)])
[[1,2],[3,4,5]]
~=?
[(0,0,1),(0,1,2),(1,0,3),(1,1,4),(1,2,5)]
Thanks to Tom Ellis for mentioning this idea. and correcting me further.
Also, there is a notion we don't currently explore inlens
(it is incompatible with the notion of indexed optics) of what I call 'coindexed' optics. You can think of it as allowing information back in the failing match case. e.g a prism that returns an error message on failure. When you combine the two features the problem gets even worse, as one wants to push information from the left side of the(.)
towards the right and the other wants to push information from the right side of the (.) towards the left and they need to conspire to produce the right types now with 2-3 sources of information about what it should be! Edward Kmett
That's easy.
"We can solve any problem by introducing an extra level of indirection." David J. Wheeler
In our case: type variables. In this section we'll use a monstrous type mentioned in the introduction:
type IndexedOpticJ p i j k l s t a b =
p i j a b -> p k l s t
one index pair for the contravariant argument (as previously), and one more pair for covariant.
Writing operations using this encoding isn't different than previously. We make some concrete profunctor, use optic to transform it, and then use the result:
ifoldMapOfJ :: IndexedOpticJ (IndexedForgetJ r) (i, ()) () () k s t a b
-> (i -> a -> r) -> s -> Either k r
ifoldMapOfJ o f =
runIndexedForgetJ (o (IndexedForgetJ $ \(i, ()) -> Right . f i)) ()
newtype IndexedForgetJ r i j a b =
IndexedForgetJ { runIndexedForgetJ :: i -> a -> Either j r }
That's not exactly a ifoldMapOf
variant, as it can fail with a description!
Let's define few constructors to play with examples. We will use bare String
for errors, in real library you probably want something more structured.
type Err = String
To define prisms we need a variant of Choice
, not that we
class IndexedProfunctorJ p => ChoiceWithIndexJ p where
irightJ :: IndexedOpticJ p i j i (Either Err j)
(Either c a) (Either c b) a b
instance ChoiceWithIndexJ (IndexedForgetJ r) where
irightJ (IndexedForgetJ p) =
IndexedForgetJ $ \i eca -> case fmap (p i) eca of
Right (Right r) -> Right r
Right (Left j) -> Left (Right j)
Left _c -> Left (Left "right' failed")
class IndexedProfunctorJ p where
idimapJ :: (i -> j) -> (k -> l)
-> IndexedOpticJ p j k i l a b a b
ilmapJ :: (i -> j)
-> IndexedOpticJ p j k i k a b a b
ilmapJ f = idimapJ f id
instance IndexedProfunctorJ (IndexedForgetJ r) where
idimapJ f g (IndexedForgetJ p)
= IndexedForgetJ $ \i -> first g . p (f i)
And a Traversing
variant. Let's make examples interesting by making IndexedFOrgetJ
instance "fail", if the Traversal
is empty:
class ChoiceWithIndexJ p => TraversingWithIndexJ p where
itraversedJ :: TraversableWithIndex i t
=> IndexedOpticJ p (i, j) k j (Either Err k)
(t a) (t b) a b
itraversedJ = iwanderJ itraverse
iwanderJ :: (forall f. Applicative f
=> (i -> a -> f b)
-> (s -> f t))
-> p (i, j) k a b -> p j (Either Err k) s t
instance Semigroup r => TraversingWithIndexJ (IndexedForgetJ r) where
iwanderJ f (IndexedForgetJ p) =
IndexedForgetJ $ \j s -> runE2 $ getConst $
f (\i a -> Const $ E2 $ first Right $ p (i, j) a ) s
We have to define auxiliary type to select the right error when traversing:
newtype E2 a b = E2 { runE2 :: Either (Either Err a) b }
instance Semigroup b => Monoid (E2 a b) where
mempty = E2 (Left (Left "Empty Fold"))
mappend (E2 (Right a)) (E2 (Right b)) = E2 (Right (a <> b))
mappend x@(E2 Right{}) _ = x
mappend _ x@(E2 Right{}) = x
-- make inner errors more important!
mappend x@(E2 (Left (Right _))) _ = x
mappend _ x@(E2 (Left (Right _))) = x
mappend x _ = x
It's time for examples. The "good" cases work as before:
coindexed_ex1 =
ifoldMapOfJ (irightJ . idimapJ ((),) id) (,) (Right 'a')
~=?
Right ((), 'a')
coindexed_ex2 =
ifoldMapOfJ itraversedJ (\i x -> [(i, x)]) "foobar"
~=?
Right [(0,'f'),(1,'o'),(2,'o'),(3,'b'),(4,'a'),(5,'r')]
Note if traverse'
zooms into empty Traversable
, it won't be an error. But we can make a variant which would make that erroneous as well.
coindexed_ex3 =
ifoldMapOfJ (itraversedJ . traverse') (\i x -> [(i, x)]) ["foo", "bar"]
~=?
Right [(0,'f'),(0,'o'),(0,'o'),(1,'b'),(1,'a'),(1,'r')]
coindexed_ex4 =
ifoldMapOfJ (traverse' . itraversedJ) (\i x -> [(i, x)]) ["foo", "bar"]
~=?
Right [(0,'f'),(1,'o'),(2,'o'),(0,'b'),(1,'a'),(2,'r')]
coindexed_ex5 =
ifoldMapOfJ (itraversedJ . itraversedJ . idimapJ unassoc id)
(\i x -> [(i, x)])
["foo", "bar"]
~=?
Right [((0,0),'f'),((1,0),'o'),((2,0),'o')
,((0,1),'b'),((1,1),'a'),((2,1),'r')]
The erroneous cases work as we want: looking at wrong value through Prism
gives Prism
error, Looking through Traversal
at empty list gives an empty fold error:
coindexed_ex6 =
ifoldMapOfJ (irightJ . idimapJ ((),) id) (,) (Left True)
~=?
(Left (Left "right' failed") :: Either (Either Err ()) ((), ()))
coindexed_ex7 =
ifoldMapOfJ itraversedJ (\i x -> [(i, x)]) ""
~=?
Left (Left "Empty Fold")
If we combine a Traversal
and a Prism
we'll see how different erroneous cases work. If all elements of the list are Right
, we get them. If some is Left
, but there's at least one Right
; we still get Right
. If all values are Left
we get prism error; and if the list is empty we get an empty fold error. Here we could use idimapJ
to flatten errors, but it's good to see on which "level" error occurred.
coindexed_ex8 =
ifoldMapOfJ (itraversedJ . irightJ) (\i x -> [(i, x)])
[Right 'a', Right 'b']
~=?
Right [(0,'a'),(1,'b')]
coindexed_ex9 =
ifoldMapOfJ (itraversedJ . irightJ) (\i x -> [(i, x)])
[Right 'a', Left False]
~=?
Right [(0,'a')]
coindexed_exA =
ifoldMapOfJ (itraversedJ . irightJ) (\i x -> [(i, x)])
[Left False]
~=?
(Left (Right (Left "right' failed"))
:: Either (Either Err (Either Err ())) [(Int, ())])
coindexed_exB =
ifoldMapOfJ (itraversedJ . irightJ) (\i x -> [(i, x)]) []
~=?
(Left (Left "Empty Fold")
:: Either (Either Err (Either Err ())) [(Int, ())])
In this blog post a presented some ideas for indexed profunctor optics, there's still a lot to design and engineer. The current approach is quite good IMHO. But maybe using indexed profunctor encoding we can make it even better. The Coindexed example is made with a tongue-in-cheek, but maybe there would be practical use cases for it too. After all, it degrades into indexed case nicely.
runIndexedPopticsExamples :: IO ()
runIndexedPopticsExamples = void $ runTestTT $ TestList $
[ newtype_ex2, newtype_ex3, newtype_ex4, newtype_ex5, newtype_ex6
, newtype_ex7
, lens_ex1, lens_ex2, lens_ex3
, indexed_ex2, indexed_ex3, indexed_ex4, indexed_ex5, indexed_ex6
, cps_ex2, cps_ex3
, coindexed_ex1, coindexed_ex2, coindexed_ex3, coindexed_ex4
, coindexed_ex5, coindexed_ex6, coindexed_ex7, coindexed_ex8
, coindexed_ex9, coindexed_exA, coindexed_exB
]
instance Profunctor p => Profunctor (Indexed p i) where
dimap f g (Indexed p) = Indexed (dimap (fmap f) g p)
instance Strong p => Strong (Indexed p i) where
first' (Indexed p) = Indexed (lmap unassoc (first' p))
unassoc :: (a,(b,c)) -> ((a,b),c)
unassoc (a,(b,c)) = ((a,b),c)
instance Choice p => Choice (Indexed p i) where
left' (Indexed p) = Indexed $
lmap (\(i, e) -> first (i,) e) (left' p)
instance Traversing p => Traversing (Indexed p i) where
wander f (Indexed p) = Indexed $
wander (\g (i, s) -> f (curry g i) s) p
haskell ignore instance Monoid r => Traversing (Forget r) where wander f (Forget p) = Forget (getConst . f (Const . p))
instance Profunctor (ForgetI r i) where
dimap f _ (ForgetI p) = ForgetI (p . f)
instance Strong (ForgetI r i) where
first' (ForgetI p) = ForgetI (p . fst)
instance Monoid r => Choice (ForgetI r i ) where
right' (ForgetI p) = ForgetI (either (const mempty) p)
instance Monoid r => Traversing (ForgetI r i) where
wander f (ForgetI p) = ForgetI (getConst . f (Const . p))
instance IndexedProfunctor (ForgetI r) where
ilmap f (ForgetI p) = ForgetI p
instance Monoid r => TraversingWithIndex (ForgetI r) where
iwanderI f (ForgetI p) = ForgetI (getConst . f (\_ -> Const . p))
instance Functor f => Profunctor (StarI f i) where
dimap f g (StarI p) = StarI $ \i ->
fmap g . p i . f
instance Functor f => Strong (StarI f i) where
first' (StarI p) = StarI $ \i (a,c) ->
fmap (,c) (p i a)
instance (Functor f, Pointed f) => Choice (StarI f i) where
right' (StarI p) = StarI $ \i ->
either (point . Left) (fmap Right . p i)
instance (Applicative f, Pointed f) => Traversing (StarI f i) where
wander f (StarI p) = StarI $ f . p
instance IndexedProfunctor (StarI f) where
ilmap f (StarI p) = StarI $ p . f
instance (Applicative f, Pointed f) => TraversingWithIndex (StarI f) where
iwanderI f (StarI p) = StarI $ \o -> f $ \i -> p (i, o)
instance Profunctor (IndexedForget r i) where
dimap f _ (IndexedForget p) = IndexedForget (\i -> p i . f)
instance Strong (IndexedForget r i) where
first' (IndexedForget p) = IndexedForget (\i -> p i . fst)
instance Monoid r => Choice (IndexedForget r i) where
right' (IndexedForget p) = IndexedForget (\i -> either (const mempty) (p i))
instance Monoid r => Traversing (IndexedForget r i) where
wander f (IndexedForget p) = IndexedForget (\i -> getConst . f (Const . p i))
instance IndexedProfunctor (IndexedForget r) where
ilmap f (IndexedForget p) = IndexedForget (p . f)
instance Monoid r => TraversingWithIndex (IndexedForget r) where
iwanderI f (IndexedForget p) = IndexedForget $ \o ->
getConst . f (\i -> Const . p (i, o))
instance Monoid r => TraversingWithIndexC (IndexedForget r) where
iwanderC f (IndexedForget p) = IndexedForget $ \ij ->
getConst . f (\i -> Const . p (ij i))
instance Profunctor (IndexedForgetJ r i j) where
dimap f _ (IndexedForgetJ p) =
IndexedForgetJ (\i -> p i . f)
instance Strong (IndexedForgetJ r i j) where
first' (IndexedForgetJ p) =
IndexedForgetJ (\i -> p i . fst)
instance Monoid r => Choice (IndexedForgetJ r i j) where
right' (IndexedForgetJ p) =
IndexedForgetJ (\i -> either (const (Right mempty)) (p i))
instance Monoid r => Traversing (IndexedForgetJ r i j) where
wander f (IndexedForgetJ p) = IndexedForgetJ $ \i ->
getE . getConst . f (Const . E . p i)
newtype E a b = E { getE :: Either a b }
instance Monoid r => Monoid (E a r) where
mempty = E (Right mempty)
mappend x@(E (Left _)) _ = x
mappend _ x@(E (Left _)) = x
mappend (E (Right a)) (E (Right b)) = E (Right (mappend a b))
Added a note about CPS version of IndexedOpticI
, thanks to Tom Ellis.
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You can run this file with
stack --resolver=nightly-2017-03-01 ghci --ghci-options='-pgmL markdown-unlit'
λ> :l IndexedPoptics.lhs
fetch the source from https://gist.github.com/phadej/638733a00ccf2c69bff66ad419902ff0