# Monadic profunctors for bidirectional programming

## Preface

*(Updated May 2018)*

This is an unfinished post consolidating ideas on *monadic profunctors*, that I’ve also written about in previous posts.. In particular, this post walks step by step from simple parsers and printers, to this “bidirectional” representation. Since it kept getting longer with no end in sight, I put this out there in this unfinished state. For more examples and a more up-to-date preview of this work, I am working on a few libraries.

## Introduction

Programmers deal with data in various forms, and often need ways to convert back and forth between different representations. Such conversions are usually expected to follow some inverse relationship, leading to partially overlapping and redundant specifications. Multiple techniques have been investigated to exploit that redundancy in order to define mappings between two representations as a single *bidirectional transformation*. These programs avoid code duplication; they are more concise and more maintainable. Certain properties relating the unidirectional mappings that are extracted from these artifacts can be established by construction, lessening burden of correctness on the programmer.

Diverse languages have been created to program bidirectional transformations. A popular approach in functional programming is the design of *combinator libraries*, or ways to compose complex programs which inherit the good behavior of their components. Such libraries form an *embedded domain specific language*, and are generally simpler to implement and use than a wholly separate language.

TODO: Blabla

## Unifying parsers and printers

This document is written in Literate Haskell. Familiarity with syntax in the ML family of functional languages is assumed (e.g., type annotations, pattern matching, function application), and we shall try to explain constructs which are specific to Haskell when necessary.

Let us first consider the problem of parsing and printing with a straightforward approach.

### Types

Here are simple parser and printer types. A parser consumes a prefix of an input string, converts it to a value of some type `a`

, returned alongside the unconsumed suffix of the string. A printer simply converts a value into a string.

```
data Parser a = Parser (String -> (a, String))
data Printer0 a = Printer0 (a -> String)
runParser :: Parser a -> String -> (a, String)
runParser (Parser p_) = p_
runPrinter0 :: Printer0 a -> a -> String
runPrinter0 (Printer0 q_) = q_
```

We would like to be able to write both a parser and a printer as a single enitity. So let us put them together in a pair, and call it an *invertible parser*.

```
data IParser0 a = IParser0 (Parser a) (Printer0 a)
asParser0 :: IParser0 a -> Parser a
asParser0 (IParser0 p _) = p
asPrinter0 :: IParser0 a -> Printer0 a
asPrinter0 (IParser0 _ q) = q
```

### Elementary parsers

Let us define some elementary invertible parsers, to parse/print a word made of digits and to consume/print whitespace.

```
digits0 :: IParser0 String
digits0 = IParser0 p q
where
p = Parser $ \s -> span isDigit s
q = Printer0 $ \digits -> digits
whitespace0 :: IParser0 ()
whitespace0 = IParser0 p q
where
p = Parser $ \s -> ((), dropWhile isSpace s)
q = Printer0 $ \() -> " "
```

Parsers, like various other kinds of “computations”, can generally be modelled as applicative functors or monads, concretely represented in Haskell by the type classes `Applicative`

and `Monad`

. These abstractions provide a familiar interface for functional programmers to compose computations. Unfortunately, we will see that we cannot implement instances of `Applicative`

or `Monad`

for `IParser0`

. However, it is still tempting to imitate these abstractions for invertible parsers.

### Functors

Parsers are *functors*. The `mapParser`

higher-order function takes a function and applies it to the result of a parser, producing a parser with a different output type.

```
mapParser :: (a -> b) -> Parser a -> Parser b
mapParser f p = Parser $ \s ->
let (a, s') = runParser p s
in (f a, s')
```

Functors are represented in Haskell by the `Functor`

type class in the standard library `base`

.

More precisely, the `Functor`

type class represents *covariant functors*: the input type `a`

(resp. result type `b`

) of `f :: a -> b`

corresponds to the input type `Parser a`

(resp. result type `Parser b`

) of `mapParser f :: Parser a -> Parser b`

.

In contrast, `Printer0`

is a *contravariant functor*.

A contravariant functor reverses the direction of the lifted arrow: the input type `a`

(resp. result type `b`

) of `f :: a -> b`

corresponds to the result type `Printer0 a`

(resp. input type `Printer0 b`

) of `mapPrinter0 f :: Printer0 b -> Printer0 a`

.

```
mapPrinter0 :: (a -> b) -> Printer0 b -> Printer0 a
mapPrinter0 f q = Printer0 $ \a -> runPrinter0 q (f a)
```

#### Invertible parsers

To transform an `IParser0`

, which contains both a parser and a printer, we thus need to map both ways. We say that `IParser0`

is an *invariant functor*.

```
class Invariant m where
imap :: (a -> b) -> (b -> a) -> m a -> m b
instance Invariant IParser0 where
imap :: (a -> b) -> (b -> a) -> IParser0 a -> IParser0 b
imap f f' (IParser0 p q) = IParser0 (mapParser f p) (mapPrinter0 f' q)
```

`Parser`

and `Printer0`

independently turn out to also be instances, simply ignoring one component or the other.

```
instance Invariant Parser where
imap f _ p = fmap f p
instance Invariant Printer0 where
imap _ f' q = mapPrinter0 f' q
```

#### Demonstration: parsing an integer

We need to wrap `digit0`

, which only returns a string of digits. We may map between that string and the corresponding number using `read :: String -> Int`

and `show :: Int -> String`

.

Using the invertible parser:

```
> runParser (asParser0 int0) "42sixtimesnine"
(42, "sixtimesnine")
> runPrinter0 (asPrinter0 int0) 42
"42"
```

### Applicative functors

Applicative functors make it possible to sequence computations and combine their results. `Functor`

is a superclass of `Applicative`

: every applicative functor is a (covariant) functor.

Our `Parser`

is an instance of `Applicative`

.

`pure`

creates a parser that does nothing beyond producing a constant value. The binary operator `(<*>)`

(“ap”) runs a parser producing a function `f`

, followed by another producing a value `a`

, and returns the application `f a`

.

```
instance Applicative Parser where
pure a = Parser $ \s -> (a, s)
-- "ap"
pf <*> pa = Parser $ \s ->
let (f, s') = runParser pf s
(a, s'') = runParser pa s'
in (f a, s'')
```

However, `Printer0`

is not an applicative functor, since it is not even a covariant functor, but a contravariant one. Furthermore, even if we ignore the superclass constraint, a printer `qf <*> qa :: Printer0 b`

would need to print a value (of type) `b`

using printers `qf :: Printer0 (a -> b)`

and `qa :: Printer0 a`

, but there is no general way to extract a function `a -> b`

and a value `a`

out of a value `b`

.

#### Monoidal functors

We can still apply the idea of sequencing operations to printers with a different type class:

A pure printer just prints the empty string (essentially doing nothing).

Given two printers `qa :: Printer0 a`

and `qb :: Printer0 b`

, we can construct a printer for pairs of values `qa <.> qb :: Printer0 (a, b)`

, by concatenating their printing results.

Thus `Printer0`

is a monoidal functor.

```
instance Monoidal Printer0 where
pure' :: a -> Printer0 a
pure' _ = Printer0 $ \_ -> ""
(<.>) :: Printer0 a -> Printer0 b -> Printer0 (a, b)
qa <.> qb = Printer0 $ \(a, b) ->
runPrinter0 qa a ++
runPrinter0 qb b
```

Assuming that a type is a covariant `Functor`

(e.g., `Parser`

), then `(<*>)`

and `(<.>)`

(“pair”) are equivalent, in the sense that we can implement one with the other.

Below, `(<$>)`

is an infix synonym for `Functor`

’s `fmap`

, quite frequent when programming in *applicative style*. `(,)`

is the constructor of pairs used as a regular identifier.

```
(<.>*) :: Applicative m => m a -> m b -> m (a, b)
ma <.>* mb = (,) <$> ma <*> mb
(<*>.) :: (Functor m, Monoidal m) => m (a -> b) -> m a -> m b
ma <*>. mb = (\(f, a) -> f a) <$> (ma <.> mb)
-- f <$> a = fmap f a
-- f <$> a <*> b = (f <$> a) <*> b -- Associates like that
-- (,) a b = (a, b)
```

Given two parsers `pa :: Parser a`

and `pb :: Parser b`

, we can construct a parser `pa <.>* pb :: Parser (a, b)`

which runs both parsers successively and collects their results in a pair.

Thus `Parser`

is a `Monoidal`

functor.

```
instance Monoidal Parser where
pure' :: a -> Parser a
pure' = pure
(<.>) :: Parser a -> Parser b -> Parser (a, b)
(<.>) = (<.>*)
```

#### Invertible parsers

`IParser0`

is the product of two monoidal functors, which is monoidal as well.

```
instance Monoidal IParser0 where
pure' :: a -> IParser0 a
pure' a = IParser0 (pure' a) (pure' a)
(<.>) :: IParser0 a -> IParser0 b -> IParser0 (a, b)
(IParser0 pa qa) <.> (IParser0 pb qb) = IParser0 (pa <.> pb) (qa <.> qb)
```

#### Demonstration: parsing a pair

Here is an invertible parser of a pair of numbers separated by whitespace.

We define the `(.>)`

(“then”) combinator which ignores the unit result of its first operand, using `imap`

to restructure the tuple produced by `(<.>)`

.

It is similar to `(*>) :: Applicative m => m a -> m b -> m b`

from the standard library. The restriction that the left argument returns a unit result is necessary to avoid loss of information.

```
-- "then"
(.>) :: Monoidal m => m () -> m a -> m a
mu .> ma = imap f f' (mu <.> ma)
where
f ((), m) = m
f' m = ((), m)
pairInt0 :: IParser0 (Int, Int)
pairInt0 = int0 <.> (whitespace0 .> int0)
```

Using the invertible parser:

```
> runParser (asParser0 pairInt0) "2048 2187"
((2048, 2187), "")
> runPrinter0 (asPrinter0 pairInt0) (2048, 2187)
"2048 2187"
```

### Monads

`Applicative`

or `Monoidal`

sequence independent operations, thus their expressiveness remains quite limited.

A generic kind of format we cannot parse with those is one where the input is separated into a *header* and a *body*, with the header containing information about the shape of the body. For instance, consider strings that start with an integer `n`

(the header), followed by `n`

more integers (the body).

For such a format, we need a *monadic* parser, and `Parser`

is indeed a `Monad`

. That means that it exposes the following operation: `(>>=)`

(“bind”) runs the first parser, and passes the result to the second parameterized parser before running it.

```
instance Monad Parser where
(>>=) :: Parser a -> (a -> Parser b) -> Parser b
pa >>= topb = Parser $ \s ->
let (a, s') = runParser pa s
in runParser (topb a) s'
```

Extending the header/body analogy, we can see that `(>>=)`

also does not fit printers. If `qa :: Printer0 a`

is the printer of headers `a`

, and `toqb :: a -> Printer0 b`

is the printer of bodies `b`

parameterized by headers, their composition needs to accept a type containing the header, whereas `(>>=)`

simply forgets the type of the header `a`

in the result. We can join the results of two computations in a pair, similarly to the way we reshaped `Applicative`

into `Monoidal`

.

Every `Monad`

instance, including `Parser`

, can be an instance of `Monadoidal`

.

```
(>>+=) :: Monad m => m a -> (a -> m b) -> m (a, b)
ma >>+= tomb = ma >>= \a -> tomb a >>= \b -> pure (a, b)
instance Monadoidal Parser where
(>>+) :: Parser a -> (a -> Parser b) -> Parser (a, b)
(>>+) = (>>+=)
```

A `Printer0`

is an instance of `Monadoidal`

.

```
instance Monadoidal Printer0 where
(>>+) :: Printer0 a -> (a -> Printer0 b) -> Printer0 (a, b)
qa >>+ toqb = Printer0 $ \(a, b) ->
runPrinter0 qa a ++
runPrinter0 (toqb a) b
```

Thus, so is `IParser0`

.

```
instance Monadoidal IParser0 where
(>>+) :: IParser0 a -> (a -> IParser0 b) -> IParser0 (a, b)
pqa >>+ topqb = IParser0 p q
where
p = asParser0 pqa >>+ (asParser0 . topqb)
q = asPrinter0 pqa >>+ (asPrinter0 . topqb)
```

#### Demonstration: parsing a list

Here is an invertible parser of a list of integers, written as the length `n`

followed by `n`

integers.

Given the length, we can iterate a parser with the `replicate0`

combinator defined here.

```
replicate0 :: Monadoidal m => Int -> m a -> m [a]
replicate0 0 _ = pure' []
replicate0 n pq = imap cons uncons (pq <.> replicate0 (n - 1) pq)
where
cons (a, as) = a : as
uncons (a : as) = (a, as)
uncons [] = error "Unexpected empty list"
intList0 :: IParser0 [Int]
intList0 = imap f f' (int0 >>+ \n -> replicate0 n (whitespace0 .> int0))
where
f (_, xs) = xs
f' xs = (length xs, xs)
```

Using the invertible parser:

```
> runParser (asParser0 intList0) "3 0 1 2 "
([0, 1, 2], " ")
> runPrinter0 (asPrinter0 intList0) [0, 1, 2]
"3 0 1 2"
```

The approach outlined above leads to a type class hierarchy `Invariant`

/`Monoidal`

/`Monadoidal`

which parallels a well-established one `Functor`

/`Applicative`

/`Monad`

.

TODO: drawbacks? Tuples.

## Invertible parsing as a profunctor

We study a different construction of invertible parsers, which is actually an instance of `Functor`

/`Applicative`

/`Monad`

.

Recall the previously defined type of invertible parsers:

It is not an instance of `Functor`

(thus neither of `Applicative`

nor `Monad`

) due to `Printer0 a`

being contravariant with respect to `a`

.

Let us reflect this difference in variance by generalizing the invertible parser type, with a parameter `x`

in negative occurences, and `a`

in positive occurences:

TODO: explain negative/positive. Basically contravariant/covariant.

```
data IParser1 x a = IParser1 (Parser a) (Printer0 x)
asParser1 :: IParser1 x a -> Parser a
asParser1 (IParser1 p _) = p
asPrinter1 :: IParser1 x a -> Printer0 x
asPrinter1 (IParser1 _ q) = q
```

`IParser0 a`

is equivalent to `IParser1 a a`

.

```
type IParser1' a = IParser1 a a
iparser0to1 :: IParser0 a -> IParser1' a
iparser0to1 (IParser0 p q) = IParser1 p q
```

Let us translate the elementary parsers `digits0`

and `whitespace0`

. The following sections will demonstrate a different way to compose them.

```
digits1 :: IParser1' String
digits1 = iparser0to1 digits0
whitespace1 :: IParser1' ()
whitespace1 = iparser0to1 whitespace0
```

### Profunctors

We can map over each parameter independently, the first “contravariantly”, the second “covariantly”. We call such a type a *profunctor*.

```
class Profunctor f where
lmap :: (x -> y) -> f y a -> f x a
rmap :: (a -> b) -> f x a -> f x b
instance Profunctor IParser1 where
lmap g (IParser1 p q) = IParser1 p (mapPrinter0 g q)
rmap f (IParser1 p q) = IParser1 (mapParser f p) q
```

Applying two functions at once results in a function equivalent to `imap`

(up to the order of arguments), but with a much more general type:

#### Demonstration

We can now define `int1`

from `digits1`

, equivalent to `int0`

.

#### Profunctors are functors

A profunctor is a covariant functor with respect to its second argument:

### Applicative functors and monoids

Invertible parsers can also be sequenced via an `Applicative`

instance. `Parser`

is already an instance of `Applicative`

. `Printer0`

is not an instance of `Applicative`

, but we only need it to be a `Monoid`

.

`Printer0 x`

, equivalent to the type of functions `x -> String`

, is a monoid where the binary operation is the pointwise concatenation of strings.

```
instance Monoid (Printer0 x) where
-- Identity element
mempty :: Printer0 x
mempty = Printer0 $ \_ -> ""
-- Associative operation
mappend :: Printer0 x -> Printer0 x -> Printer0 x
mappend p p' = Printer0 $ \x ->
runPrinter0 p x ++
runPrinter0 p' x
```

The binary operation of that monoid seems to be the only reasonable^{1} implementation of the printer component of `(<*>)`

for `IParser1`

, given its type.

```
instance Applicative (IParser1 x) where
pure a = IParser1 (pure a) mempty
(<*>) :: IParser1 x (a -> b) -> IParser1 x a -> IParser1 x b
pqf <*> pqa = IParser1 pb qb
where
pb = asParser1 pqf <*> asParser1 pqa
qb = asPrinter1 pqf <> asPrinter1 pqa
-- (<>) = mappend
```

#### Partial printers

The type of the binary operation `(<>) :: Printer0 x -> Printer0 x -> Printer0 x`

seems surprising at first: what use is printing the same value of type `x`

twice? The answer is that a `Printer0 x`

does not necessarily print a complete representation of `x`

. It may be a *partial printer* of `x`

.

For instance, given a printer `q :: Printer0 x`

, we can construct `(mapPrinter0 fst q) :: Printer0 (x, y)`

printing only the first component of a given pair. We can similarly obtain a printer for the second component, and finally combine them.

```
pairPrinter0 :: Printer0 x -> Printer0 y -> Printer0 (x, y)
pairPrinter0 qx qy = mapPrinter0 fst qx <> mapPrinter0 snd qy
```

Applicative style sequences parsers concisely, allowing users to provide their own functions to combine results. Here they are simply put in a pair.

Note that `pairParser`

and `pairPrinter0`

are equal to `(<.>)`

. The point here is that `Monoidal`

simply turns out to be a composition of more elementary abstractions. We already mentioned that `Monoidal`

and `Applicative`

are equivalent for types which are covariant functors (e.g., `Parser`

). Above, `pairPrinter0`

shows that a type which is both a contravariant functor and a monoid is also a monoidal functor (the identity morphism `pure'`

is equal to `\_ -> mempty`

).

Below, `pair`

combines these implications, applying `lmap`

(renamed as the infix operator `(=.)`

for a record-like notation) to obtain two values

under the same context `f (x, y)`

which can then be combined with the applicative product `(<*>)`

, using the products of parsers (`Applicative`

) and printers (`Monoid`

) when `f ~ IParser1`

.

```
(=.) :: Profunctor f => (x -> y) -> f y a -> f x a
(=.) = lmap
-- Very general type
pair
:: (Profunctor f, Applicative (f (x, y)))
=> f x a -> f y b -> f (x, y) (a, b)
pair pqa pqb =
(,)
<$> (fst =. pqa)
<*> (snd =. pqb)
```

```
-- Specializes to a (<.>)-looking type
pair1 :: IParser1' a -> IParser1' b -> IParser1' (a, b)
-- Expanded type
pair1 :: IParser1 a a -> IParser1 b b -> IParser1 (a, b) (a, b)
```

Applicative functors are in fact a generalization of monoids. Indeed, the `Const`

type (*constant type function*) turns monoids into applicative functors.

```
data Const w a = Const w
instance Functor (Const w) where
fmap _ (Const w) = Const w
instance Monoid w => Applicative (Const w) where
pure _ = Const mempty
Const w <*> Const w' = Const (w <> w')
```

Thus, `IParser1 x _`

is not an applicative functor by any fortuitous accident, but because it is actually the product of two applicative functors (`Parser _`

and `Const (Printer0 x) _`

, or perhaps `x -> Const String _`

).

#### Demonstration

We no longer need a new `(.>)`

operator, we can now reuse `Applicative`

’s `(*>)`

.

With `(=.)`

(i.e., `lmap`

), we apply the `unit`

function to the `whitespace1`

invertible parser, indicating that it produces/requires no information.

```
unit :: x -> ()
unit _ = ()
pairInt1 :: IParser1' (Int, Int)
pairInt1 =
(,)
<$> (fst =. int1)
<*> (snd =.
((unit =. whitespace1) *> int1))
```

### A monadic printer

`Printer0 x`

is not a monad, we shall replace it with a type which is one. Recall that `Const`

creates an applicative functor out of a monoid, but since its second type parameter is ignored, there is no way to implement a monadic “bind” operator `(>>=)`

.

#### The writer monad

The *writer monad* arises out of any monoid. Values are annotated with a *log*, an element of some monoid `w`

. The `Monoid`

structure provides an empty log for pure values, and an operation to append logs when combining values with `(<*>)`

or `(>>=)`

.

```
data Writer w a = Writer w a
-- The embedding must now have a restricted type,
-- as opposed to Const :: w -> Const w a.
write :: w -> Writer w ()
write w = Writer w ()
runWriter :: Writer w a -> w
runWriter (Writer w _) = w
instance Functor (Writer w) where
fmap f (Writer w a) = Writer w (f a)
instance Monoid w => Applicative (Writer w) where
pure a = Writer mempty a
Writer wf f <*> Writer wa a = Writer (wf <> wa) (f a)
instance Monoid w => Monad (Writer w) where
Writer wa a >>= toWb =
let Writer wb b = toWb a
in Writer (wa <> wb) b
```

#### The new printer

The original `Printer0`

can also be seen as the composition of the reader (`x -> _`

) and the constant (`Const String _`

) functors: for any `a`

, `Printer0 x a`

is equivalent to `x -> Const String a`

.

The new `Printer`

owes its instances of `Functor`

/`Applicative`

/`Monad`

to its being the composition of reader (`x -> _`

) and writer (`Writer String _`

).

```
data Printer x a = Printer (x -> Writer String a)
runPrinter :: Printer x a -> x -> String
-- Instances in the appendix:
-- Profunctor, Functor, Applicative, Monad.
```

Our final version `IParser`

of invertible parsers is: a parser of `a`

and a printer of `a`

contained in `x`

. More precisely, as a printer, it accepts an argument `x`

, from which it *extracts* a value `a`

, *prints* it, and *returns* it (so that it can be used with `(>>=)`

). An `IParser x a`

is the product of two monads, and therefore it is a monad.

```
data IParser x a = IParser (Parser a) (Printer x a)
asParser :: IParser x a -> Parser a
asPrinter :: IParser x a -> Printer x a
-- Instances in the appendix:
-- Profunctor, Functor, Applicative, Monad.
type IParser' a = IParser a a
```

Since `whitespace1`

is always going to be used as `(unit =. whitespace1)`

, we might as well include that in its translation to `whitespace`

. Parametricity tells us from just its type that `whitespace`

uses no information from the input `x`

so it might as well be `()`

, but polymorphism makes it more convenient to use.

```
iparser1to_ :: IParser1' a -> IParser' a
iparser1to_ (IParser1 p q) = IParser p q'
where
q' = Printer $ \a -> Writer (runPrinter0 q a) a
int :: IParser' Int
int = iparser1to_ int1
whitespace :: IParser x ()
whitespace = (unit =. iparser1to_ whitespace1)
```

#### Demonstration

Let us write again an invertible parser of lists. We still need a special `replicate1`

function. `(:)`

is the constructor of lists used as a regular identifier.

In contrast with `IParser0`

functions such as `replicate0`

, we no longer need to construct/deconstruct intermediate tuples, instead we can use normal constructors and accessors straightforwardly.

```
replicate1
:: (Profunctor f, Applicative (f [x]))
=> Int -> f x a -> f [x] [a]
replicate1 0 _ = pure []
replicate1 n pq =
(:)
<$> (head =. pq)
<*> (tail =. replicate1 (n - 1) pq)
```

Since `IParser'`

is an instance of `Monad`

, we can use Haskell’s do-notation, which desugars to expressions using `(>>=)`

.

## A type class based interface

In the examples above, the only components specific to the application of parsing and printing are the “elementary” actions. They are then composed using polymorphic combinators.

These combinators require constraints involving general type classes: `Profunctor`

, `Applicative`

and `Monad`

. The latter two are well-known interfaces against which functional programmers compose many sorts of computations. We have shown that, contrary to what the initial approach suggested, invertible parsers can also implement these type classes.

The abstractness of these constraints suggests that we can use these combinators to create bidirectional transformations other than parsers/printers.

### From functor to profunctor

In fact, we have here a generalization of the `Functor`

/`Applicative`

/`Monad`

hierarchy for “unidirectional” computations. Indeed, every instance `m`

of `Functor`

can be lifted to a `Profunctor`

by adding a phantom type parameter:

```
data Pro m x a = Pro (m a)
unPro :: Pro m x a -> m a
unPro (Pro ma) = ma
instance Functor m => Profunctor (Pro m) where
lmap _ (Pro ma) = Pro ma
rmap f (Pro ma) = Pro (fmap f ma)
```

And `Functor`

/`Applicative`

/`Monad`

instances are simply inherited:

```
instance Functor m => Functor (Pro m x) where
fmap = rmap
instance Applicative m => Applicative (Pro m x) where
pure a = Pro (pure a)
Pro mf <*> Pro ma = Pro (mf <*> ma)
instance Monad m => Monad (Pro m x) where
Pro ma >>= toprob = Pro (ma >>= (unPro . toprob))
```

We can recognize that construction to be equivalent to the parser component of the `IParser`

type above. Similarly, if we focus on the printer component, we obtain another general way to turn a functor into a profunctor.

```
-- As it's named by the profunctors package.
data Star n x a = Star (x -> n a)
unStar :: Star n x a -> x -> n a
unStar (Star q) = q
instance Functor n => Profunctor (Star n) where
lmap g (Star q) = Star (q . g)
rmap f (Star q) = Star (fmap f . q)
instance Functor n => Functor (Star n x) where
fmap = rmap
instance Applicative n => Applicative (Star n x) where
pure a = Star (\_ -> pure a)
Star qf <*> Star qa = Star (\x -> qf x <*> qa x)
instance Monad n => Monad (Star n x) where
Star qa >>= tostarb = Star (\x -> qa x >>= \a -> unStar (tostarb a) x)
```

Thus `IParser`

consists of the product of `Pro`

and `Star`

, respectively specialized to the `Parser`

and `Writer w`

monads.

## Programming lenses

A lens is a bidirectional transformation from a source `s`

, which can “focus” on a fragment called *view* `v`

, using a function `get' :: s -> v`

, and reflect an update of the view into the source: `put' :: s -> v -> s`

.

Given two lenses `lb :: Lens' a b`

and `lc :: Lens' b c`

, we can obtain a `Lens' a c`

: to define `get'`

, from `a`

, we can get `b`

using the lens `lb`

, and then get `c`

using `lc`

; to define `set'`

, an updated `c`

can be put back into `b`

using `lc`

, and the result again put back into `a`

using `lb`

. In fact, lenses are the morphisms of a category of types.

```
idLens' :: Lens' a a
idLens' = Lens' (\a -> a) (\_ a -> a)
composeLens' :: Lens' a b -> Lens' b c -> Lens' a c
composeLens' lb lc = Lens'
{ get' = get' lc . get' lb
, put' = \c a ->
let b = get' lb a
in put' lb (put' lc c b) a
}
```

This composition is great to access nested structures.

A more interesting way for us to compose lenses is to access two values in parallel from the same source. The resulting operator corresponds to `Monoidal`

’s `(<.>)`

.

```
(<.>~) :: Lens' s a -> Lens' s b -> Lens' s (a, b)
la <.>~ lb = Lens'
{ get' = \s -> (get' la s, get' lb s)
, put' = \(a, b) s -> put' lb b (put' la a s)
}
```

Like invertible parsers, we can generalize the lens type in order to create an instance of `Applicative`

and `Monad`

. First, we may split the invariant parameter `v`

into a contravariant `x`

and a covariant `a`

.

We can recognize that `s -> _`

is a monad (which can be lifted with `Pro`

), and that `x -> s -> s`

is of the form `x -> w`

where `w ~ (s -> s)`

is the monoid of endofunctions. The type of `put0`

is equivalent to `x -> Const w a`

, and we can transform it as we did for `Printer`

to `x -> Writer w a`

, or equivalently, `Star (Writer (s -> s)) x a`

.

```
data Lens s x a = Lens
{ get :: s -> a
, put :: x -> (s -> s, a)
}
instance Profunctor (Lens s) where
lmap g (Lens get put) = Lens get (put . g)
rmap f (Lens get put) = Lens (f . get) ((fmap . fmap) f put)
instance Functor (Lens s x) where
fmap = rmap
instance Applicative (Lens s x) where
pure a = Lens (\_ -> a) (\_ -> (id, a))
lf <*> la = Lens
{ get = \s -> get lf s (get la s)
, put = \x ->
let (r , f) = put lf x
(r', a) = put la x
in (r' . r, f a)
}
instance Monad (Lens s x) where
la >>= f = Lens
{ get = \s -> get (f (get la s)) s
, put = \x ->
let (r , a) = put la x
(r', b) = put (f a) x
in (r' . r, b)
}
```

```
composeLens :: Lens s t t -> Lens t x a -> Lens s x a
composeLens lt la = Lens
{ get = get la . get lt
, put = \x ->
let (f, a) = put la x
put' s = let (g, _) = put lt (f (get lt s)) in g s
in (put', a)
}
```

#### Demonstration: a lens to the spine of a tree

Consider a type of trees with values at every node.

Start with crude lenses to get and put values at nodes, and to access the children of a node.

```
node :: Lens (Tree a) (Maybe a) (Maybe a)
node = Lens get put
where
get Leaf = Nothing
get (Node a _ _) = Just a
put Nothing = (\_ -> Leaf, Nothing)
put (Just a) = (put', Just a)
where
put' Leaf = Node a Leaf Leaf
put' (Node _ l r) = Node a l r
rightChild :: Lens (Tree a) (Tree a) (Tree a)
rightChild = Lens
{ get = \(Node _ _ r) -> r
, put = \r -> (\(Node a l _) -> Node a l r, r)
}
maybeHead :: [a] -> Maybe a
maybeHead (a : _) = Just a
maybeHead [] = Nothing
```

Then we can compose them to obtain the elements in the right spine of the tree. In the put direction, fine grained structural modifications are possible and allow to match the lengths of an input list and the spine of the updated tree.

```
spine :: Eq a => Lens (Tree a) [a] [a]
spine = do
m <- maybeHead =. node
case m of
Nothing -> pure []
Just a -> do
as <- tail =. (composeLens rightChild spine)
pure (a : as)
```

- Higher constraints: ForallF Applicative f
- Codec
- Generable sets
- More combinators

## Appendix

`Printer`

instances

```
-- :: Printer x a -> x -> String
runPrinter q x = runWriter (runPrinter' q x)
runPrinter' :: Printer x a -> x -> Writer String a
runPrinter' (Printer q_) = q_
instance Profunctor Printer where
lmap g (Printer q_) = Printer (q_ . g)
rmap = fmap
instance Functor (Printer x) where
fmap f (Printer q_) = Printer $ \x ->
fmap f (q_ x)
instance Applicative (Printer x) where
pure a = Printer $ \_ -> pure a
Printer qf_ <*> Printer qa_ = Printer $ \x ->
qf_ x <*> qa_ x
instance Monad (Printer x) where
Printer qa_ >>= toqb = Printer $ \x ->
let toWb a = runPrinter' (toqb a) x
in qa_ x >>= toWb
```

`IParser`

instances

```
asParser (IParser p _) = p
asPrinter (IParser _ q) = q
instance Profunctor IParser where
lmap g (IParser p q) = IParser p (lmap g q)
rmap = fmap
instance Functor (IParser x) where
fmap f (IParser p q) = IParser (fmap f p) (fmap f q)
instance Applicative (IParser x) where
pure a = IParser (pure a) (pure a)
pqf <*> pqa = IParser pb qb
where
pb = asParser pqf <*> asParser pqa
qb = asPrinter pqf <*> asPrinter pqa
instance Monad (IParser x) where
pqa >>= topqb = IParser pb qb
where
pb = asParser pqa >>= (asParser . topqb)
qb = asPrinter pqa >>= (asPrinter . topqb)
```

Non reasonable implementations include ignoring the printer in one of the operands and doing nonsensical combinations of strings instead of a simple concatenation.↩︎