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 :: * -> * -> *
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...
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.
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
.
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.
In general, there are two reasons why a type constructor could fail to have an instance of a certain type class:
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.
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 id
≠ id
, 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.
Applicative
but not a Monad
because the type signature of bind
cannot be implemented.I do not know any such examples!
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.
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.
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.
In general, here are some constructions that produce lawful Monad
s out of polynomial types. In all these constructions, M
is a monad:
type M a = Either c (w, a)
where w
is any monoidtype M a = m (Either c (w, a))
where m
is any monad and w
is any monoidtype M a = (m1 a, m2 a)
where m1
and m2
are any monadstype M a = Either a (m a)
where m
is any monadThe 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.
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