Posted on 2017-11-17
by Oleg Grenrus
lens

Adam Gundry gave a talk about optics at Haskell Exchange 2017, *Through a Glass, Abstractly: Lenses and the Power of Abstraction*. One take-away point from the talk is, that you want composition of `Getter`

and `Setter`

to be an error. You can compose getters with setters, in teir van Laarhoven or profunctor encoding of optics, but you can't do anything *useful*. So you'd rather fail early.

Except, it's Friday.

As this is a literal Haskell file, First a moderate prelude:

```
{-# LANGUAGE RankNTypes, DeriveFunctor #-}
module ComposeGetterSetter where
import Control.DeepSeq
import Data.Boring (Boring (..))
import Data.Functor.Identity
import Data.Distributive
import Data.Profunctor hiding (Mapping (..))
import Data.Profunctor.Traversing hiding (Mapping (..))
```

Let's work with *profunctor* encoding of optics, then

```
type Optic' p s a = p a a -> p s s
type Setter' s a = forall p. Mapping p => Optic' p s a
type Getter s a = forall p. (Bicontravariant p, Strong p) => Optic' p s a
```

If we try to compose `Getter`

and `Setter`

, it will succeed, we'll get

What would satisfy that? Well, a `Boring`

type:

```
newtype Boom a b = Boom { runBoom :: a -> () }
instance Boring (Boom a b) where
boring = Boom boring
```

How that could be useful? By fast and loose reasoning it won't. But in Haskell, we also have `seq`

.

If we take care, and write instances which **force** the arguments:

```
instance Profunctor Boom where
dimap f _ (Boom h) = Boom (h . f)
instance Strong Boom where
first' (Boom f) = Boom $ \(a, _) -> f a
instance Choice Boom where
right' (Boom f) = Boom $ \x -> case x of
Right y -> f y
Left _ -> ()
instance Bicontravariant Boom where
cimap f _ (Boom h) = Boom (h . f)
instance Closed Boom where
closed (Boom f) = Boom $ \_ -> ()
instance Traversing Boom where
wander f (Boom g) = Boom $ \s -> f (\x -> g x `seq` Proxy') s `seq` ()
instance Mapping Boom where
map' (Boom g) = Boom $ \fa -> fmap g fa `seq` ()
roam f (Boom g) = Boom $ \s -> f (\x -> g x `seq` Proxy') s `seq` ()
```

by using **strict** `Proxy'`

:

```
data Proxy' a = Proxy' deriving Show
instance Functor Proxy' where
fmap _ Proxy' = Proxy'
instance Applicative Proxy' where
pure x = x `seq` Proxy'
Proxy' <*> Proxy' = Proxy'
instance Distributive Proxy' where
collect agb fa = Proxy'
```

we can define something interesting (maybe):

`partialNF`

will use an optic to drill inside the structure, and evaluate the values inside.

First example is using `Stream`

:

Let's us define some optics, 'Getter' for the head, and 'Setter' for the tail of the 'Stream'. We don't define `tl`

using `setting`

, we'll see later why so.

```
hd :: Getter (Stream a) a
hd = to (\(x ::: _) -> x)
tl :: Setter' (Stream a) (Stream a)
tl = dimap (\(x ::: xs) -> (x, xs)) (uncurry (:::)) . second'
```

Now we can play with these:

that's quite boring.

How about:

or

Still, quite boring.

BOOM!

However, if we'd define:

Then the *magic of laziness* will prevent us from doing bad stuff :)

For the same reason

doesn't throw, but

does.

To conclude, a composition of `Getter`

and `Setter`

has at least one, though quite questionable use case. However, partial normalisation doesn't if a `Setter`

is defined using `map'`

or `roam`

, as they don't give opportunity to force the values "inside" the `Functor`

.

Various definitions

```
-- type aliases
type Optic p s t a b = p a b -> p s t
type Lens' s a = forall p. Strong p => Optic' p s a
-- Mapping with roam
class (Traversing p, Closed p) => Mapping p where
map' :: Functor f => p a b -> p (f a) (f b)
map' = roam collect
roam :: (forall f. (Applicative f, Distributive f)
=> (a -> f b) -> s -> f t)
-> p a b -> p s t
roam = roamMap' map'
{-# MINIMAL map' | roam #-}
roamMap' :: Profunctor p
=> (forall f. Functor f => p a b -> p (f a) (f b)) -- ^ map'
-> (forall f. (Distributive f, Applicative f)
=> (a -> f b) -> s -> f t)
-> p a b -> p s t
roamMap' m f = dimap (\s -> Bar $ \afb -> f afb s) lent . m
where
lent :: Bar t a a -> t
lent m = runIdentity (runBar m Identity)
newtype Bar t b a = Bar
{ runBar :: forall f. (Distributive f, Applicative f)
=> (a -> f b) -> f t
}
deriving Functor
-- Bicontravariant
class Bicontravariant p where
cimap :: (b -> a) -> (d -> c) -> p a c -> p b d
-- Constructors
to :: Bicontravariant p => (s -> a) -> Optic' p s a
to f = cimap f f
setting :: Mapping p => ((a -> b) -> s -> t) -> Optic p s t a b
setting f = dimap (Context id) (\(Context g s) -> f g s) . map'
data Context a b t = Context (b -> t) a deriving Functor
-- Lenses for Stream
hdl :: Lens' (Stream a) a
hdl = dimap (\(x ::: xs) -> (x, xs)) (uncurry (:::)) . first'
tll :: Lens' (Stream a) (Stream a)
tll = dimap (\(x ::: xs) -> (x, xs)) (uncurry (:::)) . second'
```

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