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Good examples of Not a Functor/Functor/Applicative/Monad?

While explaining to someone what a type class X is I struggle to find good examples of data structures which are exactly X.

So, I request examples for:

A type constructor which is not a Functor.

A type constructor which is a Functor, but not Applicative.

A type constructor which is an Applicative, but is not a Monad.

A type constructor which is a Monad.

I think there are plenty examples of Monad everywhere, but a good example of Monad with some relation to previous examples could complete the picture.

I look for examples which would be similar to each other, differing only in aspects important for belonging to the particular type class.

If one could manage to sneak up an example of Arrow somewhere in this hierarchy (is it between Applicative and Monad?), that would be great too!

Is it possible to make a type constructor (* -> *) for which there exists no suitable fmap?
Owen, I think a -> String is not a functor.
@Rotsor @Owen a -> String is a mathematical functor, but not a Haskell Functor, to be clear.
@J. Abrahamson, in what sense is it a mathematical functor then? Are you talking about the category with arrows reversed?
For people don't know, a contravariant functor has an fmap of type (a -> b) -> f b -> f a

D
Dietrich Epp

A type constructor which is not a Functor:

newtype T a = T (a -> Int)

You can make a contravariant functor out of it, but not a (covariant) functor. Try writing fmap and you'll fail. Note that the contravariant functor version is reversed:

fmap      :: Functor f       => (a -> b) -> f a -> f b
contramap :: Contravariant f => (a -> b) -> f b -> f a

A type constructor which is a functor, but not Applicative:

I don't have a good example. There is Const, but ideally I'd like a concrete non-Monoid and I can't think of any. All types are basically numeric, enumerations, products, sums, or functions when you get down to it. You can see below pigworker and I disagreeing about whether Data.Void is a Monoid;

instance Monoid Data.Void where
    mempty = undefined
    mappend _ _ = undefined
    mconcat _ = undefined

Since _|_ is a legal value in Haskell, and in fact the only legal value of Data.Void, this meets the Monoid rules. I am unsure what unsafeCoerce has to do with it, because your program is no longer guaranteed not to violate Haskell semantics as soon as you use any unsafe function.

See the Haskell Wiki for an article on bottom (link) or unsafe functions (link).

I wonder if it is possible to create such a type constructor using a richer type system, such as Agda or Haskell with various extensions.

A type constructor which is an Applicative, but not a Monad:

newtype T a = T {multidimensional array of a}

You can make an Applicative out of it, with something like:

mkarray [(+10), (+100), id] <*> mkarray [1, 2]
  == mkarray [[11, 101, 1], [12, 102, 2]]

But if you make it a monad, you could get a dimension mismatch. I suspect that examples like this are rare in practice.

A type constructor which is a Monad:

[]

About Arrows:

Asking where an Arrow lies on this hierarchy is like asking what kind of shape "red" is. Note the kind mismatch:

Functor :: * -> *
Applicative :: * -> *
Monad :: * -> *

but,

Arrow :: * -> * -> *

Good list! I would suggest using something simpler like Either a as an example for the last case, as it is easier to understand.
If you're still looking for a type constructor that's Applicative but not a Monad, a very common example would be ZipList.
_|_ inhabits every type in *, but the point of Void is you should have to bend over backwards to construct one or you've destroyed its value. This is why its not an instance of Enum, Monoid, etc. If you already have one, I'm happy to let you mash them together (giving you a Semigroup) but mempty, but I give no tools for explicitly constructing a value of type Void in void. You have to load the gun and point it at your foot and pull the trigger yourself.
Pedantically, I think your notion of Cofunctor is wrong. The dual of a functor is a functor, because you flip both the input and the output and end up with just the same thing. The notion you are looking for is probably "contravariant functor", which is slightly different.
@DietrichEpp: I believe this usage to be incorrect (there's no citation), have asked math.SE if they agree with me.
C
Cactus

My style may be cramped by my phone, but here goes.

newtype Not x = Kill {kill :: x -> Void}

cannot be a Functor. If it were, we'd have

kill (fmap (const ()) (Kill id)) () :: Void

and the Moon would be made of green cheese.

Meanwhile

newtype Dead x = Oops {oops :: Void}

is a functor

instance Functor Dead where
  fmap f (Oops corpse) = Oops corpse

but cannot be applicative, or we'd have

oops (pure ()) :: Void

and Green would be made of Moon cheese (which can actually happen, but only later in the evening).

(Extra note: Void, as in Data.Void is an empty datatype. If you try to use undefined to prove it's a Monoid, I'll use unsafeCoerce to prove that it isn't.)

Joyously,

newtype Boo x = Boo {boo :: Bool}

is applicative in many ways, e.g., as Dijkstra would have it,

instance Applicative Boo where
  pure _ = Boo True
  Boo b1 <*> Boo b2 = Boo (b1 == b2)

but it cannot be a Monad. To see why not, observe that return must be constantly Boo True or Boo False, and hence that

join . return == id

cannot possibly hold.

Oh yeah, I nearly forgot

newtype Thud x = The {only :: ()}

is a Monad. Roll your own.

Plane to catch...


Void is empty! Morally, anyhow.
Void is a type with 0 constructors, I assume. It's not a monoid because there is no mempty.
undefined? How rude! Sadly, unsafeCoerce (unsafeCoerce () <*> undefined) is not (), so in real life, there are observations which violate the laws.
In the usual semantics, which tolerates exactly one kind of undefined, you're quite right. There are other semanticses, of course. Void does not restrict to a submonoid in the total fragment. Nor is it a monoid in a semantics which distinguishes modes of failure. When I have a moment with easier than phone-based editing, I'll clarify that my example works only in a semantics for which there is not exactly one kind of undefined.
@Dietrich Epp IMO the Applicative laws are written for the PER of total values of Haskell's denotational semantics. See Fast and Loose Reasoning is Morally Correct.
P
Petr

I believe the other answers missed some simple and common examples:

A type constructor which is a Functor but not an Applicative. A simple example is a pair:

instance Functor ((,) r) where
    fmap f (x,y) = (x, f y)

But there is no way how to define its Applicative instance without imposing additional restrictions on r. In particular, there is no way how to define pure :: a -> (r, a) for an arbitrary r.

A type constructor which is an Applicative, but is not a Monad. A well-known example is ZipList. (It's a newtype that wraps lists and provides different Applicative instance for them.)

fmap is defined in the usual way. But pure and <*> are defined as

pure x                    = ZipList (repeat x)
ZipList fs <*> ZipList xs = ZipList (zipWith id fs xs)

so pure creates an infinite list by repeating the given value, and <*> zips a list of functions with a list of values - applies i-th function to i-th element. (The standard <*> on [] produces all possible combinations of applying i-th function to j-th element.) But there is no sensible way how to define a monad (see this post).

How arrows fit into the functor/applicative/monad hierarchy? See Idioms are oblivious, arrows are meticulous, monads are promiscuous by Sam Lindley, Philip Wadler, Jeremy Yallop. MSFP 2008. (They call applicative functors idioms.) The abstract:

We revisit the connection between three notions of computation: Moggi's monads, Hughes's arrows and McBride and Paterson's idioms (also called applicative functors). We show that idioms are equivalent to arrows that satisfy the type isomorphism A ~> B = 1 ~> (A -> B) and that monads are equivalent to arrows that satisfy the type isomorphism A ~> B = A -> (1 ~> B). Further, idioms embed into arrows and arrows embed into monads.


So ((,) r) is a functor that is not an applicative; but this is only because you can't generally define pure for all r at once. It's therefore a quirk of language conciseness, of trying to define an (infinite) collection of applicative functors with one definition of pure and <*>; in this sense, there doesn't seem to be anything mathematically deep about this counter-example since, for any concrete r, ((,) r) can be made an applicative functor. Question: Can you think of a CONCRETE functor which fails to be an applicative?
See stackoverflow.com/questions/44125484/… as post with this question.
@George, no, it is not true. If r does not have any element in it, you cannot implement pure for that even if you can give fmap.
L
Landei

A good example for a type constructor which is not a functor is Set: You can't implement fmap :: (a -> b) -> f a -> f b, because without an additional constraint Ord b you can't construct f b.


It is actually a good example since mathematically we would really like to make this a functor.
@AlexandreC. I'd disagree on that, it's not a good example. Mathematically, such a data structure does form a functor. The fact that we cannot implement fmap is just a language/implementation issue. Also, it's possible to wrap Set into the continuation monad, which makes a monad out of it with all the properties we'd expect, see this question (although I'm not sure if it can be done efficiently).
@PetrPudlak, how is this a language issue? Equality of b may be undecidable, in that case you can't define fmap!
@Turion Being decidable and definable are two different things. For example it's possible to correctly define equality on lambda terms (programs), even though it's not possible to decide it by an algorithm. In any case, this wasn't the case of this example. Here the problem is that we can't define a Functor instance with the Ord constraint, but it might be possible with a different definition of Functor or better language support. Actually with ConstraintKinds it is possible to define a type class that can be parametrized like this.
Even if we could overcome the ord constraint the fact that a Set cannot contain duplicate entries means that fmap could altar the context. This violates the associativity law.
w
winitzki

I'd like to propose a more systematic approach to answering this question, and also to show examples that do not use any special tricks like the "bottom" values or infinite data types or anything like that.

When do type constructors fail to have type class instances?

In general, there are two reasons why a type constructor could fail to have an instance of a certain type class:

Cannot implement the type signatures of the required methods from the type class. Can implement the type signatures but cannot satisfy the required laws.

Examples of the first kind are easier than those of the second kind because for the first kind, we just need to check whether one can implement a function with a given type signature, while for the second kind, we are required to prove that no implementation could possibly satisfy the laws.

Specific examples

A type constructor that cannot have a functor instance because the type cannot be implemented: data F z a = F (a -> z)

This is a contrafunctor, not a functor, with respect to the type parameter a, because a in a contravariant position. It is impossible to implement a function with type signature (a -> b) -> F z a -> F z b.

A type constructor that is not a lawful functor even though the type signature of fmap can be implemented: data Q a = Q(a -> Int, a) fmap :: (a -> b) -> Q a -> Q b fmap f (Q(g, x)) = Q(\_ -> g x, f x) -- this fails the functor laws!

The curious aspect of this example is that we can implement fmap of the correct type even though F cannot possibly be a functor because it uses a in a contravariant position. So this implementation of fmap shown above is misleading - even though it has the correct type signature (I believe this is the only possible implementation of that type signature), the functor laws are not satisfied. For example, fmap idid, because let (Q(f,_)) = fmap id (Q(read,"123")) in f "456" is 123, but let (Q(f,_)) = id (Q(read,"123")) in f "456" is 456.

In fact, F is only a profunctor, - it is neither a functor nor a contrafunctor.

A lawful functor that is not applicative because the type signature of pure cannot be implemented: take the Writer monad (a, w) and remove the constraint that w should be a monoid. It is then impossible to construct a value of type (a, w) out of a.

A functor that is not applicative because the type signature of <*> cannot be implemented: data F a = Either (Int -> a) (String -> a).

A functor that is not lawful applicative even though the type class methods can be implemented: data P a = P ((a -> Int) -> Maybe a)

The type constructor P is a functor because it uses a only in covariant positions.

instance Functor P where
   fmap :: (a -> b) -> P a -> P b
   fmap fab (P pa) = P (\q -> fmap fab $ pa (q . fab))

The only possible implementation of the type signature of <*> is a function that always returns Nothing:

 (<*>) :: P (a -> b) -> P a -> P b
 (P pfab) <*> (P pa) = \_ -> Nothing  -- fails the laws!

But this implementation does not satisfy the identity law for applicative functors.

A functor that is Applicative but not a Monad because the type signature of bind cannot be implemented.

I do not know any such examples!

A functor that is Applicative but not a Monad because laws cannot be satisfied even though the type signature of bind can be implemented.

This example has generated quite a bit of discussion, so it is safe to say that proving this example correct is not easy. But several people have verified this independently by different methods. See Is `data PoE a = Empty | Pair a a` a monad? for additional discussion.

 data B a = Maybe (a, a)
   deriving Functor

 instance Applicative B where
   pure x = Just (x, x)
   b1 <*> b2 = case (b1, b2) of
     (Just (x1, y1), Just (x2, y2)) -> Just((x1, x2), (y1, y2))
     _ -> Nothing

It is somewhat cumbersome to prove that there is no lawful Monad instance. The reason for the non-monadic behavior is that there is no natural way of implementing bind when a function f :: a -> B b could return Nothing or Just for different values of a.

It is perhaps clearer to consider Maybe (a, a, a), which is also not a monad, and to try implementing join for that. One will find that there is no intuitively reasonable way of implementing join.

 join :: Maybe (Maybe (a, a, a), Maybe (a, a, a), Maybe (a, a, a)) -> Maybe (a, a, a)
 join Nothing = Nothing
 join Just (Nothing, Just (x1,x2,x3), Just (y1,y2,y3)) = ???
 join Just (Just (x1,x2,x3), Nothing, Just (y1,y2,y3)) = ???
 -- etc.

In the cases indicated by ???, it seems clear that we cannot produce Just (z1, z2, z3) in any reasonable and symmetric manner out of six different values of type a. We could certainly choose some arbitrary subset of these six values, -- for instance, always take the first nonempty Maybe - but this would not satisfy the laws of the monad. Returning Nothing will also not satisfy the laws.

A tree-like data structure that is not a monad even though it has associativity for bind - but fails the identity laws.

The usual tree-like monad (or "a tree with functor-shaped branches") is defined as

 data Tr f a = Leaf a | Branch (f (Tr f a))

This is a free monad over the functor f. The shape of the data is a tree where each branch point is a "functor-ful" of subtrees. The standard binary tree would be obtained with type f a = (a, a).

If we modify this data structure by making also the leaves in the shape of the functor f, we obtain what I call a "semimonad" - it has bind that satisfies the naturality and the associativity laws, but its pure method fails one of the identity laws. "Semimonads are semigroups in the category of endofunctors, what's the problem?" This is the type class Bind.

For simplicity, I define the join method instead of bind:

 data Trs f a = Leaf (f a) | Branch (f (Trs f a))
 join :: Trs f (Trs f a) -> Trs f a
 join (Leaf ftrs) = Branch ftrs
 join (Branch ftrstrs) = Branch (fmap @f join ftrstrs)

The branch grafting is standard, but the leaf grafting is non-standard and produces a Branch. This is not a problem for the associativity law but breaks one of the identity laws.

When do polynomial types have monad instances?

Neither of the functors Maybe (a, a) and Maybe (a, a, a) can be given a lawful Monad instance, although they are obviously Applicative.

These functors have no tricks - no Void or bottom anywhere, no tricky laziness/strictness, no infinite structures, and no type class constraints. The Applicative instance is completely standard. The functions return and bind can be implemented for these functors but will not satisfy the laws of the monad. In other words, these functors are not monads because a specific structure is missing (but it is not easy to understand what exactly is missing). As an example, a small change in the functor can make it into a monad: data Maybe a = Nothing | Just a is a monad. Another similar functor data P12 a = Either a (a, a) is also a monad.

Constructions for polynomial monads

In general, here are some constructions that produce lawful Monads out of polynomial types. In all these constructions, M is a monad:

type M a = Either c (w, a) where w is any monoid type M a = m (Either c (w, a)) where m is any monad and w is any monoid type M a = (m1 a, m2 a) where m1 and m2 are any monads type M a = Either a (m a) where m is any monad

The first construction is WriterT w (Either c), the second construction is WriterT w (EitherT c m). The third construction is a component-wise product of monads: pure @M is defined as the component-wise product of pure @m1 and pure @m2, and join @M is defined by omitting cross-product data (e.g. m1 (m1 a, m2 a) is mapped to m1 (m1 a) by omitting the second part of the tuple):

 join :: (m1 (m1 a, m2 a), m2 (m1 a, m2 a)) -> (m1 a, m2 a)
 join (m1x, m2x) = (join @m1 (fmap fst m1x), join @m2 (fmap snd m2x))

The fourth construction is defined as

 data M m a = Either a (m a)
 instance Monad m => Monad M m where
    pure x = Left x
    join :: Either (M m a) (m (M m a)) -> M m a
    join (Left mma) = mma
    join (Right me) = Right $ join @m $ fmap @m squash me where
      squash :: M m a -> m a
      squash (Left x) = pure @m x
      squash (Right ma) = ma

I have checked that all four constructions produce lawful monads.

I conjecture that there are no other constructions for polynomial monads. For example, the functor Maybe (Either (a, a) (a, a, a, a)) is not obtained through any of these constructions and so is not monadic. However, Either (a, a) (a, a, a) is monadic because it is isomorphic to the product of three monads a, a, and Maybe a. Also, Either (a,a) (a,a,a,a) is monadic because it is isomorphic to the product of a and Either a (a, a, a).

The four constructions shown above will allow us to obtain any sum of any number of products of any number of a's, for example Either (Either (a, a) (a, a, a, a)) (a, a, a, a, a)) and so on. All such type constructors will have (at least one) Monad instance.

It remains to be seen, of course, what use cases might exist for such monads. Another issue is that the Monad instances derived via constructions 1-4 are in general not unique. For example, the type constructor type F a = Either a (a, a) can be given a Monad instance in two ways: by construction 4 using the monad (a, a), and by construction 3 using the type isomorphism Either a (a, a) = (a, Maybe a). Again, finding use cases for these implementations is not immediately obvious.

A question remains - given an arbitrary polynomial data type, how to recognize whether it has a Monad instance. I do not know how to prove that there are no other constructions for polynomial monads. I don't think any theory exists so far to answer this question.


I think B is a monad. Can you give a counterexample to this bind Pair x y >>= f = case (f x, f y) of (Pair x' _,Pair _ y') -> Pair x' y' ; _ -> Empty?
@Turion That argument doesn't apply to Maybe because Maybe doesn't contain different values of a to worry about.
@Turion I proved this by a couple of pages of calculations; the argument about "natural way" is just a heuristic explanation. A Monad instance consists of functions return and bind that satisfy laws. There are two implementations of return and 25 implementations of bind that fit the required types. You can show by direct calculation that none of the implementations satisfy the laws. To cut down on the amount of required work, I used join instead of bind and used the identity laws first. But it's been a fair bit of work.
@duplode No, I don't think Traversable is needed. m (Either a (m a)) is transformed using pure @m into m (Either (m a) (m a)). Then trivially Either (m a) (m a) -> m a, and we can use join @m. That was the implementation for which I checked the laws.
@Qqwy Yes, this is a good example. It corresponds to a constant functor (that does not depend on its type parameter). Constant functors are monads only when they are of type Unit.