I have the following code, and I would like this to fail type checking:
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE GADTs #-}
{-# LANGUAGE RankNTypes #-}
import Control.Lens
data GADT e a where
One :: Greet e => String -> GADT e String
Two :: Increment e => Int -> GADT e Int
class Greet a where
_Greet :: Prism' a String
class Increment a where
_Increment :: Prism' a Int
instance Greet (Either String Int) where
_Greet = _Left
instance Increment (Either String Int) where
_Increment = _Right
run :: GADT e a -> Either String Int
run = go
where
go (One x) = review _Greet x
go (Two x) = review _Greet "Hello"
The idea is that each entry in the GADT has an associated error, which I'm modelling with a Prism into some larger structure. When I "interpret" this GADT, I provide a concrete type for e that has instances for all of these Prisms. However, for each individual case, I don't want to be able to use instances that weren't declared in the constructor's associated context.
The above code should be an error, because when I pattern match on Two I should learn that I can only use Increment e, but I'm using Greet. I can see why this works - Either String Int has an instance for Greet, so everything checks out.
I'm not sure what the best way to fix this is. Maybe I can use entailment from Data.Constraint, or perhaps there's a trick with higher rank types.
Any ideas?
The problem is you're fixing the final result type, so the instance exists and the type checker can find it.
Try something like:
run :: GADT e a -> e
Now the result type can't pick the instance for review and parametricity enforces your invariant.
Related
I am using data-reify and graphviz to transform an eDSL into a nice graphical representation, for introspection purposes.
As simple, contrived example, consider:
{-# LANGUAGE GADTs #-}
data Expr a where
Constant :: a -> Expr a
Map :: (other -> a) -> Expr a -> Expr a
Apply :: Expr (other -> a) -> Expr a -> Expr a
instance Functor Expr where
fmap fun val = Map fun val
instance Applicative Expr where
fun_expr <*> data_expr = Apply fun_expr data_expr
pure val = Constant val
-- And then some functions to optimize an Expr AST, evaluate Exprs, etc.
To make introspection nicer, I would like to print the values which are stored inside certain AST nodes of the DSL datatype.
However, in general any a might be stored in Constant, even those that do not implement Show. This is not necessarily a problem since we can constrain the instance of Expr like so:
instance Show a => Show (Expr a) where
...
This is not what I want however: I would still like to be able to print Expr even if a is not Show-able, by printing some placeholder value (such as just its type and a message that it is unprintable) instead.
So we want to do one thing if we have an a implementing Show, and another if a particular a does not.
Furthermore, the DSL also has the constructors Map and Apply which are even more problematic. The constructor is existential in other, and thus we cannot assume anything about other, a or (other -> a). Adding constraints to the type of other to the Map resp. Apply constructors would break the implementation of Functor resp. Applicative which forwards to them.
But here also I'd like to print for the functions:
a unique reference. This is always possible (even though it is not pretty as it requires unsafePerformIO) using System.Mem.StableName.
Its type, if possible (one technique is to use show (typeOf fun), but it requires that fun is Typeable).
Again we reach the issue where we want to do one thing if we have an f implementing Typeable and another if f does not.
How to do this?
Extra disclaimer: The goal here is not to create 'correct' Show instances for types that do not support it. There is no aspiration to be able to Read them later, or that print a != print b implies a != b.
The goal is to print any datastructure in a 'nice for human introspection' way.
The part I am stuck at, is that I want to use one implementation if extra constraints are holding for a resp. (other -> a), but a 'default' one if these do not exist.
Maybe type classes with FlexibleInstances, or maybe type families are needed here? I have not been able to figure it out (and maybe I am on the wrong track all together).
Not all problems have solutions. Not all constraint systems have a satisfying assignment.
So... relax the constraints. Store the data you need to make a sensible introspective function in your data structure, and use functions with type signatures like show, fmap, pure, and (<*>), but not exactly equal to them. If you need IO, use IO in your type signature. In short: free yourself from the expectation that your exceptional needs fit into the standard library.
To deal with things where you may either have an instance or not, store data saying whether you have an instance or not:
data InstanceOrNot c where
Instance :: c => InstanceOrNot c
Not :: InstanceOrNot c
(Perhaps a Constraint-kinded Either-alike, rather than Maybe-alike, would be more appropriate. I suspect as you start coding this you will discover what's needed.) Demand that clients that call notFmap and friends supply these as appropriate.
In the comments, I propose parameterizing your type by the constraints you demand, and giving a Functor instance for the no-constraints version. Here's a short example showing how that might look:
{-# LANGUAGE GADTs #-}
{-# LANGUAGE DataKinds #-}
{-# LANGUAGE TypeOperators #-}
{-# LANGUAGE TypeFamilies #-}
{-# LANGUAGE FlexibleInstances #-}
import Data.Kind
type family All cs a :: Constraint where
All '[] a = ()
All (c:cs) a = (c a, All cs a)
data Lol cs a where
Leaf :: a -> Lol cs a
Fmap :: All cs b => (a -> b) -> Lol cs a -> Lol cs b
instance Functor (Lol '[]) where
fmap f (Leaf a) = Leaf (f a)
fmap f (Fmap g garg) = Fmap (f . g) garg
Great timing! Well-typed recently released a library which allows you to recover runtime information. They specifically have an example of showing arbitrary values. It's on github at https://github.com/well-typed/recover-rtti.
It turns out that this is a problem which has been recognized by multiple people in the past, known as the 'Constrained Monad Problem'. There is an elegant solution, explained in detail in the paper The Constrained-Monad Problem by Neil Sculthorpe and Jan Bracker and George Giorgidze and Andy Gill.
A brief summary of the technique: Monads (and other typeclasses) have a 'normal form'. We can 'lift' primitives (which are constrained any way we wish) into this 'normal form' construction, itself an existential datatype, and then use any of the operations available for the typeclass we have lifted into. These operations themselves are not constrained, and thus we can use all of Haskell's normal typeclass functions.
Finally, to turn this back into the concrete type (which again has all the constraints we are interested in) we 'lower' it, which is an operation that takes for each of the typeclass' operations a function which it will apply at the appropriate time.
This way, constraints from the outside (which are part of the functions supplied to the lowering) and constraints from the inside (which are part of the primitives we lifted) are able to be matched, and finally we end up with one big happy constrained datatype for which we have been able to use any of the normal Functor/Monoid/Monad/etc. operations.
Interestingly, while the intermediate operations are not constrained, to my knowledge it is impossible to write something which 'breaks' them as this would break the categorical laws that the typeclass under consideration should adhere to.
This is available in the constrained-normal Hackage package to use in your own code.
The example I struggled with, could be implemented as follows:
{-# LANGUAGE GADTs #-}
{-# LANGUAGE DataKinds #-}
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE StandaloneDeriving #-}
{-# LANGUAGE ConstraintKinds #-}
{-# LANGUAGE KindSignatures #-}
{-# LANGUAGE UndecidableInstances #-}
module Example where
import Data.Dynamic
import Data.Kind
import Data.Typeable
import Control.Monad.ConstrainedNormal
-- | Required to have a simple constraint which we can use as argument to `Expr` / `Expr'`.
-- | This is definitely the part of the example with the roughest edges: I have yet to figure out
-- | how to make Haskell happy with constraints
class (Show a, Typeable a) => Introspectable a where {}
instance (Show a, Typeable a) => Introspectable a where {}
data Expr' (c :: * -> Constraint) a where
C :: a -> Expr' c a
-- M :: (a -> b) -> Expr' a -> Expr' b --^ NOTE: This one is actually never used as ConstrainedNormal will use the 'free' implementation based on A + C.
A :: c a => Expr' c (a -> b) -> Expr' c a -> Expr' c b
instance Introspectable a => Show (Expr' Introspectable a) where
show e = case e of
C x -> "(C " ++ show x ++ ")"
-- M f x = "(M " ++ show val ++ ")"
A fx x -> "(A " ++ show (typeOf fx) ++ " " ++ show x ++ ")"
-- | In user-facing code you'd not want to expose the guts of this construction
-- So let's introduce a 'wrapper type' which is what a user would normally interact with.
type Expr c a = NAF c (Expr' c) a
liftExpr :: c a => Expr' c a -> Expr c a
liftExpr expr = liftNAF expr
lowerExpr :: c a => Expr c a -> Expr' c a
lowerExpr lifted_expr = lowerNAF C A lifted_expr
constant :: Introspectable a => a -> Expr c a
constant val = pure val -- liftExpr (C val)
You could now for instance write
ghci> val = constant 10 :: Expr Introspectable Int
(C 10)
ghci> (+2) <$> val
(C 12)
ghci> (+) <$> constant 10 <*> constant 32 :: Expr Introspectable Int
And by using Data.Constraint.Trivial (part of the trivial-constrained library, although it is also possible to write your own 'empty constrained') one could instead write e.g.
ghci> val = constant 10 :: Expr Unconstrained Int
which will work just as before, but now val cannot be printed.
The one thing I have not yet figured out, is how to properly work with subsets of constraints (i.e. if I have a function that only requires Show, make it work with something that is Introspectable). Currently everything has to work with the 'big' set of constraints.
Another minor drawback is of course that you'll have to annotate the constraint type (e.g. if you do not want constraints, write Unconstrained manually), as GHC will otherwise complain that c0 is not known.
We've reached the goal of having a type which can be optionally be constrained to be printable, with all machinery that does not need printing to work also on all instances of the family of types including those that are not printable, and the types can be used as Monoids, Functors, Applicatives, etc just as you like.
I think it is a beautiful approach, and want to commend Neil Sculthorpe et al. for their work on the paper and the constrained-normal library that makes this possible. It's very cool!
Is it possible to write a type function that would take a constraint like Show and return one that constrains the RHS to types that are not an instance of Show?
The signature would be something like
type family Invert (c :: * -> Constraint) :: * -> Constraint
No. It is a design principle of the language that you are never allowed to do this. The rule is if a program is valid, adding more instances should not break it. This is the open-world assumption. Your desired constraint is a pretty direct violation:
data A = A
f :: Invert Show a => a -> [a]
f x = [x]
test :: [A]
test = f A
Would work, but adding
instance Show A
would break it. Therefore, the original program should never have been valid in the first place, and therefore Invert cannot exist.
As HTNW answered, it is in general not supposed to be possible to assert that a type is not an instance of a class. However, it is certainly possible to assert for a concrete type that it's never supposed to be possible to have an instance of some class for it. An ad-hoc way would be this:
{-# LANGUAGE ConstraintKinds, KindSignatures, AllowAmbiguousTypes
, MultiParamTypeClasses, FlexibleInstances #-}
import GHC.Exts (Constraint)
class Non (c :: * -> Constraint) (t :: *) where
nonAbsurd :: c t => r
But this is unsafe – the only way to write an instance is, like,
instance Non Show (String->Bool) where
nonAbsurd = undefined
but then somebody else could come up with a bogus instance Show (String->Bool) and would then be able to use your nonAbsurd for proving the moon is made out of green cheese.
A better option to make an instance impossible is to “block” it: write that instance yourself “pre-emptively”, but in such a way that it's a type error to actually invoke it.
import Data.Constraint.Trivial -- from trivial-constraint
instance Impossible0 => Show (String->Bool) where
show = nope
Now if anybody tries to add that instance, or tries to use it, they'll get a clear compiler error.
Using the cassava package, the following compiles:
{-# LANGUAGE DeriveGeneric #-}
import Data.Csv
import GHC.Generics
data Foo = Foo { foo :: Int } deriving (Generic)
instance ToNamedRecord Foo
However, the following does not:
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE DeriveAnyClass #-}
import Data.Csv
import GHC.Generics
data Foo = Foo { foo :: Int } deriving (Generic, ToNamedRecord)
The compiler reports:
test.hs:7:50:
No instance for (ToNamedRecord Int)
arising from the first field of ‘Foo’ (type ‘Int’)
Possible fix:
use a standalone 'deriving instance' declaration,
so you can specify the instance context yourself
When deriving the instance for (ToNamedRecord Foo)
This leaves me with two questions: Why isn't the second version identical to the first? And why is the compiler hoping to find an instance for ToNamedRecord Int?
NB: As pointed out by David in the comments, GHC has been updated since I wrote this. The code as written in the question compiles and works correctly. So just imagine everything below is written in the past tense.
The GHC docs say:
The instance context will be generated according to the same rules
used when deriving Eq (if the kind of the type is *), or the rules for
Functor (if the kind of the type is (* -> *)). For example
instance C a => C (a,b) where ...
data T a b = MkT a (a,b) deriving( C )
The deriving clause will
generate
instance C a => C (T a b) where {}
The constraints C a and C (a,b) are generated from the data constructor arguments, but the
latter simplifies to C a.
So, according to the Eq rules, your deriving clause generates...
instance ToNamedRecord Int => ToNamedRecord Foo where
... which is not the same as...
instance ToNamedRecord Foo where
... in that the former is only valid if there's an instance ToNamedRecord Int in scope (which is appears there isn't in your case).
But I find the spec to be somewhat ambiguous. Should the example really generate that code, or should it generate instance (C a, C (a, b)) => instance C (T a b) and let the solver discharge the second constraint? It appears, in your example, that it's generating such constraints even for fields with fully-concrete types.
I hesitate to call this a bug, because it's how Eq works, but given that DeriveAnyClass is intended to make it quicker to write empty instances it does seem unintuitive.
I have the following definitions
{-# LANGUAGE MultiParamTypeClasses,
FunctionalDependencies,
FlexibleInstances,
FlexibleContexts #-}
import qualified Data.Map as M
class Graph g n e | g -> n e where
empty :: g -- returns an empty graph
type Matrix a = [[a]]
data MxGraph a b = MxGraph { nodeMap :: M.Map a Int, edgeMatrix :: Matrix (Maybe b) } deriving Show
instance (Ord n) => Graph (MxGraph n e) n e where
empty = MxGraph M.empty [[]]
When I try to call empty I get an ambiguous type error
*Main> empty
Ambiguous type variables `g0', `n0', `e0' in the constraint: ...
Why do I get this error? How can I fix it?
You are seeing this type error because Haskell is not provided with sufficient information to know the type of empty.
Any attempt to evaluate an expression though requires the type. The type is not defined yet because the instance cannot be selected yet. That is, as the functional dependency says, the instance can only be selected if type parameter g is known. Simply, it is not known because you do not specify it in any way (such as with a type annotation).
The type-class system makes an open world assumption. This means that there could be many instances for the type class in question and hence the type system is conservative in selecting an instance (even if currently there is only one instance that makes sense to you, but there could be more some other day and the system doesn't want to change its mind just because some other instances get into scope).
The function f below, for a given type 'a', takes a parameter of type 'c'. For different types 'a', 'c' is restricted in different ways. Concretely, when 'a' is any Integral type, 'c' should be allowed to be any 'Real' type. When 'a' is Float, 'c' can ONLY be Float.
One attempt is:
{-# LANGUAGE
MultiParamTypeClasses,
FlexibleInstances,
FunctionalDependencies,
UndecidableInstances #-}
class AllowedParamType a c | a -> c
class Foo a where
f :: (AllowedParamType a c) => c -> a
fIntegral :: (Integral a, Real c) => c -> a
fIntegral = error "implementation elided"
instance (Integral i, AllowedParamType i d, Real d) => Foo i where
f = fIntegral
For some reason, GHC 7.4.1 complains that it "could not deduce (Real c) arising from a use of fIntegral". It seems to me that the functional dependency should allow this deduction. In the instance, a is unified with i, so by the functional dependency, d should be unified with c, which in the instance is declared to be 'Real'. What am I missing here?
Functional dependencies aside, will this approach be expressive enough to enforce the restrictions above, or is there a better way? We are only working with a few different values for 'a', so there will be instances like:
instance (Integral i, Real c) => AllowedParamType i c
instance AllowedParamType Float Float
Thanks
A possibly better way, is to use constraint kinds and type families (GHC extensions, requires GHC 7.4, I think). This allows you to specify the constraint as part of the class instance.
{-# LANGUAGE ConstraintKinds, TypeFamilies, FlexibleInstances, UndecidableInstances #-}
import GHC.Exts (Constraint)
class Foo a where
type ParamConstraint a b :: Constraint
f :: ParamConstraint a b => b -> a
instance Integral i => Foo i where
type ParamConstraint i b = Real b
f = fIntegral
EDIT: Upon further experimentation, there are some subtleties that mean that this doesn't work as expected, specifically, type ParamConstraint i b = Real b is too general. I don't know a solution (or if one exists) right now.
OK, this one's been nagging at me. given the wide variety of instances,
let's go the whole hog and get rid of any relationship between the
source and target type other than the presence of an instance:
{-# LANGUAGE OverlappingInstances, FlexibleInstances,TypeSynonymInstances,MultiParamTypeClasses #-}
class Foo a b where f :: a -> b
Now we can match up pairs of types with an f between them however we like, for example:
instance Foo Int Int where f = (+1)
instance Foo Int Integer where f = toInteger.((7::Int) -)
instance Foo Integer Int where f = fromInteger.(^ (2::Integer))
instance Foo Integer Integer where f = (*100)
instance Foo Char Char where f = id
instance Foo Char String where f = (:[]) -- requires TypeSynonymInstances
instance (Foo a b,Functor f) => Foo (f a) (f b) where f = fmap f -- requires FlexibleInstances
instance Foo Float Int where f = round
instance Foo Integer Char where f n = head $ show n
This does mean a lot of explicit type annotation to avoid No instance for... and Ambiguous type error messages.
For example, you can't do main = print (f 6), but you can do main = print (f (6::Int)::Int)
You could list all of the instances with the standard types that you want,
which could lead to an awful lot of repetition, our you could light the blue touchpaper and do:
instance Integral i => Foo Double i where f = round -- requires FlexibleInstances
instance Real r => Foo Integer r where f = fromInteger -- requires FlexibleInstances
Beware: this does not mean "Hey, if you've got an integral type i,
you can have an instance Foo Double i for free using this handy round function",
it means: "every time you have any type i, it's definitely an instance
Foo Double i. By the way, I'm using round for this, so unless your type i is Integral,
we're going to fall out." That's a big issue for the Foo Integer Char instance, for example.
This can easily break your other instances, so if you now type f (5::Integer) :: Integer you get
Overlapping instances for Foo Integer Integer
arising from a use of `f'
Matching instances:
instance Foo Integer Integer
instance Real r => Foo Integer r
You can change your pragmas to include OverlappingInstances:
{-# LANGUAGE OverlappingInstances, FlexibleInstances,TypeSynonymInstances,MultiParamTypeClasses #-}
So now f (5::Integer) :: Integer returns 500, so clearly it's using the more specific Foo Integer Integer instance.
I think this sort of approach might work for you, defining many instances by hand, carefully considering when to go completely wild
making instances out of standard type classes. (Alternatively, there aren't all that many standard types, and as we all know, notMany choose 2 = notIntractablyMany, so you could just list them all.)
Here's a suggestion to solve a more general problem, not yours specifically (I need more detail yet first - I promise to check later). I'm writing it in case other people are searching for a solution to a similar problem to you, I certainly was in the past, before I discovered SO. SO is especially great when it helps you try a radically new approach.
I used to have the work habit:
Introduce a multi-parameter type class (Types hanging out all over the place, so...)
Introduce functional dependencies (Should tidy it up but then I end up needing...)
Add FlexibleInstances (Alarm bells start ringing. There's a reason the compiler has this off by default...)
Add UndecidableInstances (GHC is telling you you're on your own, because it's not convinced it's up to the challenge you're setting it.)
Everything blows up. Refactor somehow.
Then I discovered the joys of type families (functional programming for types (hooray) - multi-parameter type classes are (a bit like) logic programming for types). My workflow changed to:
Introduce a type class including an associated type, i.e. replace
class MyProblematicClass a b | a -> b where
thing :: a -> b
thang :: b -> a -> b
with
class MyJustWorksClass a where
type Thing a :: * -- Thing a is a type (*), not a type constructor (* -> *)
thing :: a -> Thing a
thang :: Thing a -> a -> Thing a
Nervously add FlexibleInstances. Nothing goes wrong at all.
Sometimes fix things by using constraints like (MyJustWorksClass j,j~a)=> instead of (MyJustWorksClass a)=> or (Show t,t ~ Thing a,...)=> instead of (Show (Thing a),...) => to help ghc out. (~ essentially means 'is the same type as')
Nervously add FlexibleContexts. Nothing goes wrong at all.
Everything works.
The reason "Nothing goes wrong at all" is that ghc calculates the type Thing a using my type function Thang rather than trying to deduce it using a merely a bunch of assertions that there's a function there and it ought to be able to work it out.
Give it a go! Read Fun with Type Functions before reading the manual!