I'm just starting with Haskell, and I thought I'd start by making a random image generator. I looked around a bit and found JuicyPixels, which offers a neat function called generateImage. The example that they give doesn't seem to work out of the box.
Their example:
imageCreator :: String -> IO ()
imageCreator path = writePng path $ generateImage pixelRenderer 250 300
where pixelRenderer x y = PixelRGB8 x y 128
when I try this, I get that generateImage expects an Int -> Int -> PixelRGB8 whereas pixelRenderer is of type Pixel8 -> Pixel8 -> PixelRGB8. PixelRGB8 is of type Pixel8 -> Pixel8 -> Pixel8 -> PixelRGB8, so it makes sense that pixelRenderer is doing some type inference to determine that x and y are of type Pixel8. If I define a type signature that asserts that they are of type Int (so the function gets accepted by generateImage, PixelRGB8 complains that it needs Pixel8s, not Ints.
Pixel8 is just a type alias for Word8. After some hair pulling, I discovered that the way to convert an Int to a Word8 is by using fromIntegral.
The type signature for fromIntegral is (Integral a, Num b) => a -> b. It seems to me that the function doesn't actually know what you want to convert it to, so it converts to the very generic Num class. So theoretically, the output of this is a variable of any type that fits the type class Num (correct me if I'm mistaken here--as I understand it, classes are kind of like "interfaces" where types are more like classes/primitives in OOP). If I assign a variable
let n = fromIntegral 5
:t n -- n :: Num b => b
So I'm wondering... what is 'b'? I can use this variable as anything, and it will implicitly cast to any numeric type, as it seems. Not only will it implicitly cast to a Word8, it will implicitly cast to a Pixel8, meaning fromPixel effectively gets turned from (as I understood it) (Integral a, Num b) => a -> b to (Integral a) => a -> Pixel8 depending on context.
Can someone please clarify exactly what's happening here? Why can I use a generic Num as any type that fits Num, both mechanically and "ethically"? I don't understand how the implicit conversion is implemented (if I were to create my own class, I feel like I would need to add explicit conversion functions). I also don't really know why this works; here I can use a pretty unsafe type and convert it implicitly to anything else. (for example, fromIntegral 50000 gets translated to 80 if I implicitly convert it to a Word8)
A common implementation of type classes such as Num is dictionary-passing. Roughly, when the compiler sees something like
f :: Num a => a -> a
f x = x + 2
it transforms it into something like
f :: (Integer -> a, a -> a -> a) -> a -> a
-- ^-- the "dictionary"
f (dictFromInteger, dictPlus) x = dictPlus x (dictFromInteger 2)
The latter basically says: "pass me an implementation for these methods of class Num for your type a, and I will use them to produce a function a -> a for you".
Values such as your n :: Num b => b are no different. They are compiled into things such as
n :: (Integer -> b) -> b
n dictFromInteger = dictFromInteger 5 -- roughly
As you can see, this turns innocent-looking integer literals into functions, which can (and does) impact performance. However, in many circumstances the compiler can realize that the full polymorphic version is not actually needed, and remove all the dictionaries.
For instance, if you write f 3 but f expects Int, the "polymorphic" 3 can be converted at compile time. So type inference can aid the optimization phase (and user-written type annotation can greatly help here). Further, some other optimizations can be triggered manually, e.g. using the GHC SPECIALIZE pragma. Finally, the dreaded monomorphism restriction tries hard to force non-functions to remain non-functions after translation, at the cost of some loss of polymorphism. However, the MR is now being regarded as harmful, since it can cause puzzling type errors in some contexts.
Related
In Haskell, when we talk type declaration.
I've seen both -> and =>.
As an example: I can make my own type declaration.
addMe :: Int -> Int -> Int
addMe x y = x + y
And it works just fine.
But if we take a look at :t sqrt we get:
sqrt :: Floating a => a -> a
At what point do we use => and when do we use ->?
When do we use "fat arrow" and when do we use "thin arrow"?
-> is for explicit functions. I.e. when f is something that can be written in an expression of the form f x, the signature must have one of these arrows in it†. Specifically, the type of x (the argument) must appear to the left of a -> arrow.
It's best to not think of => as a function arrow at all, at least at first‡. It's an implication arrow in the logical sense: if a is a type with the property Floating a, then it follows that the signature of sqrt is a -> a.
For your addMe example, which is a function with two arguments, the signature must always have the form x -> y -> z. Possibly there can also be a q => in front of that; that doesn't influence the function-ishness, but may have some saying in what particular types are allowed. Generally, such constraints are not needed if the types are already fixed and concrete. Like, you could in principle impose a constraint on Int:
addMe :: Num Int => Int -> Int -> Int
addMe x y = x + y
...but that doesn't really accomplish anything, because everybody knows that the particular type Int is an instance of the Num class. Where you need such constraints is when the type is not fixed but a type variable (i.e. lowercase), i.e. if the function is polymorphic. You can't just write
addMe' :: a -> a -> a
addMe' x y = x + y
because that signature would suggest the function works for any type a whatsoever, but it can't work for all types (how would you add, for example, two strings? ok perhaps not the best example, but how would you multiply two strings?)
Hence you need the constraint
addMe' :: Num a => a -> a -> a
addMe' x y = x + y
This means, you don't care what exact type a is, but you do require it to be a numerical type. Anybody can use the function with their own type MyNumType, but they need to ensure that Num MyNumType is fulfilled: then it follows that addMe' can have signature MyNumType -> MyNumType -> MyNumType.
The way to ensure this is to either use a standard type which you know to be numerical, for instance addMe' 5.9 3.7 :: Double would work, or give an instance declaration for your custom type and the Num class. Only do the latter if you're sure it's a good idea; usually the standard num types are all you'll need.
†Note that the arrow may not be visible in the signature: it's possible to have a type synonym for a function type, for example when type IntEndofunc = Int -> Int, then f :: IntEndofunc; f x = x+x is ok. But you can think of the typedef as essentially just a syntactic wrapper; it's still the same type and does have the arrow in it.
‡It so happens that logical implication and function application can be seen as two aspects of the same mathematical concept. Furthermore, GHC actually implements class constraints as function arguments, so-called dictionaries. But all this happens behind the scenes, so if anything they're implicit functions. In standard Haskell, you will never see the LHS of a => type as the type of some actual argument the function is applied to.
The "thin arrow" is used for function types (t1 -> t2 being the type of a function that takes a value of type t1 and produces a value of type t2).
The "fat arrow" is used for type constraints. It separates the list of type constraints on a polymorphic function from the rest of the type. So given Floating a => a -> a, we have the function type a -> a, the type of a function that can take arguments of any type a and produces a result of that same type, with the added constraint Floating a, meaning that the function can in fact only be used with types that implement the Floating type class.
the -> is the constructor of functions and the => is used to constraints, a sort of "interface" in Haskell called typeclass.
A little example:
sum :: Int -> Int -> Int
sum x y = x + y
that function only allows Int types, but if you want a huge int or a small int, you probably want Integer, and how to tell it to use both?
sum2 :: Integral a => a -> a -> a
sum2 x y = x + y
now if you try to do:
sum2 3 1.5
it will give you an error
also, you may want to know if two data are equals, you want:
equals :: Eq a => a -> a -> Bool
equals x y = x == y
now if you do:
3 == 4
that's ok
but if you create:
data T = A | B
equals A B
it will give to you:
error:
• No instance for (Eq T) arising from a use of ‘equals’
• In the expression: equals A B
In an equation for ‘it’: it = equals A B
if you want for that to work, you must just do:
data T = A | B deriving Eq
equals A B
False
Consider these functions
{-# LANGUAGE TypeFamilies #-}
tryMe :: Maybe Int -> Int -> Int
tryMe (Just a) b = a
tryMe Nothing b = b
class Test a where
type TT a
doIt :: TT a -> a -> a
instance Test Int where
type TT Int = Maybe Int
doIt (Just a) b = a
doIt (Nothing) b = b
This works
main = putStrLn $ show $ tryMe (Just 2) 25
This doesn't
main = putStrLn $ show $ doIt (Just 2) 25
{-
• Couldn't match expected type ‘TT a0’ with actual type ‘Maybe a1’
The type variables ‘a0’, ‘a1’ are ambiguous
-}
But then, if I specify the type for the second argument it does work
main = putStrLn $ show $ doIt (Just 2) 25::Int
The type signature for both functions seem to be the same. Why do I need to annotate the second parameter for the type class function? Also, if I annotate only the first parameter to Maybe Int it still doesn't work. Why?
When do I need to cast types in Haskell?
Only in very obscure, pseudo-dependently-typed settings where the compiler can't proove that two types are equal but you know they are; in this case you can unsafeCoerce them. (Which is like C++' reinterpret_cast, i.e. it completely circumvents the type system and just treats a memory location as if it contains the type you've told it. This is very unsafe indeed!)
However, that's not what you're talking about here at all. Adding a local signature like ::Int does not perform any cast, it merely adds a hint to the type checker. That such a hint is needed shouldn't be surprising: you didn't specify anywhere what a is supposed to be; show is polymorphic in its input and doIt polymorphic in its output. But the compiler must know what it is before it can resolve the associated TT; choosing the wrong a might lead to completely different behaviour from the intended.
The more surprising thing is, really, that sometimes you can omit such signatures. The reason this is possible is that Haskell, and more so GHCi, has defaulting rules. When you write e.g. show 3, you again have an ambiguous a type variable, but GHC recognises that the Num constraint can be “naturally” fulfilled by the Integer type, so it just takes that pick.
Defaulting rules are handy when quickly evaluating something at the REPL, but they are fiddly to rely on, hence I recommend you never do it in a proper program.
Now, that doesn't mean you should always add :: Int signatures to any subexpression. It does mean that, as a rule, you should aim for making function arguments always less polymorphic than the results. What I mean by that: any local type variables should, if possible, be deducable from the environment. Then it's sufficient to specify the type of the final end result.
Unfortunately, show violates that condition, because its argument is polymorphic with a variable a that doesn't appear in the result at all. So this is one of the functions where you don't get around having some signature.
All this discussion is fine, but it hasn't yet been stated explicitly that in Haskell numeric literals are polymorphic. You probably knew that, but may not have realized that it has bearing on this question. In the expression
doIt (Just 2) 25
25 does not have type Int, it has type Num a => a — that is, its type is just some numeric type, awaiting extra information to pin it down exactly. And what makes this tricky is that the specific choice might affect the type of the first argument. Thus amalloy's comment
GHC is worried that someone might define an instance Test Integer, in which case the choice of instance will be ambiguous.
When you give that information — which can come from either the argument or the result type (because of the a -> a part of doIt's signature) — by writing either of
doIt (Just 2) (25 :: Int)
doIt (Just 2) 25 :: Int -- N.B. this annotates the type of the whole expression
then the specific instance is known.
Note that you do not need type families to produce this behavior. This is par for the course in typeclass resolution. The following code will produce the same error for the same reason.
class Foo a where
foo :: a -> a
main = print $ foo 42
You might be wondering why this doesn't happen with something like
main = print 42
which is a good question, that leftroundabout has already addressed. It has to do with Haskell's defaulting rules, which are so specialized that I consider them little more than a hack.
With this expression:
putStrLn $ show $ tryMe (Just 2) 25
We've got this starting information to work from:
putStrLn :: String -> IO ()
show :: Show a => a -> String
tryMe :: Maybe Int -> Int -> Int
Just :: b -> Maybe b
2 :: Num c => c
25 :: Num d => d
(where I've used different type variables everywhere, so we can more easily consider them all at once in the same scope)
The job of the type-checker is basically to find types to choose for all of those variables, so and then make sure that the argument and result types line up, and that all the required type class instances exist.
Here we can see that tryMe applied to two arguments is going to be an Int, so a (used as input to show) must be Int. That requires that there is a Show Int instance; indeed there is, so we're done with a.
Similarly tryMe wants a Maybe Int where we have the result of applying Just. So b must be Int, and our use of Just is Int -> Maybe Int.
Just was applied to 2 :: Num c => c. We've decided it must be applied to an Int, so c must be Int. We can do that if we have Num Int, and we do, so c is dealt with.
That leaves 25 :: Num d => d. It's used as the second argument to tryMe, which is expecting an Int, so d must be Int (again discharging the Num constraint).
Then we just have to make sure all the argument and result types line up, which is pretty obvious. This is mostly rehashing the above since we made them line up by choosing the only possible value of the type variables, so I won't get into it in detail.
Now, what's different about this?
putStrLn $ show $ doIt (Just 2) 25
Well, lets look at all the pieces again:
putStrLn :: String -> IO ()
show :: Show a => a -> String
doIt :: Test t => TT t -> t -> t
Just :: b -> Maybe b
2 :: Num c => c
25 :: Num d => d
The input to show is the result of applying doIt to two arguments, so it is t. So we know that a and t are the same type, which means we need Show t, but we don't know what t is yet so we'll have to come back to that.
The result of applying Just is used where we want TT t. So we know that Maybe b must be TT t, and therefore Just :: _b -> TT t. I've written _b using GHC's partial type signature syntax, because this _b is not like the b we had before. When we had Just :: b -> Maybe b we could pick any type we liked for b and Just could have that type. But now we need some specific but unknown type _b such that TT t is Maybe _b. We don't have enough information to know what that type is yet, because without knowing t we don't know which instance's definition of TT t we're using.
The argument of Just is 2 :: Num c => c. So we can tell that c must also be _b, and this also means we're going to need a Num _b instance. But since we don't know what _b is yet we can't check whether there's a Num instance for it. We'll come back to it later.
And finally the 25 :: Num d => d is used where doIt wants a t. Okay, so d is also t, and we need a Num t instance. Again, we still don't know what t is, so we can't check this.
So all up, we've figured out this:
putStrLn :: String -> IO ()
show :: t -> String
doIt :: TT t -> t -> t
Just :: _b -> TT t
2 :: _b
25 :: t
And have also these constraints waiting to be solved:
Test t, Num t, Num _b, Show t, (Maybe _b) ~ (TT t)
(If you haven't seen it before, ~ is how we write a constraint that two type expressions must be the same thing)
And we're stuck. There's nothing further we can figure out here, so GHC is going to report a type error. The particular error message you quoted is complaining that we can't tell that TT t and Maybe _b are the same (it calls the type variables a0 and a1), since we didn't have enough information to select concrete types for them (they are ambiguous).
If we add some extra type signatures for parts of the expression, we can go further. Adding 25 :: Int1 immediately lets us read off that t is Int. Now we can get somewhere! Lets patch that into the constrints we had yet to solve:
Test Int, Num Int, Num _b, Show Int, (Maybe _b) ~ (TT Int)
Num Int and Show Int are obvious and built in. We've got Test Int too, and that gives us the definition TT Int = Maybe Int. So (Maybe _b) ~ (Maybe Int), and therefore _b is Int too, which also allows us to discharge that Num _b constraint (it's Num Int again). And again, it's easy now to verify all the argument and result types match up, since we've filled in all the type variables to concrete types.
But why didn't your other attempt work? Lets go back to as far as we could get with no additional type annotation:
putStrLn :: String -> IO ()
show :: t -> String
doIt :: TT t -> t -> t
Just :: _b -> TT t
2 :: _b
25 :: t
Also needing to solve these constraints:
Test t, Num t, Num _b, Show t, (Maybe _b) ~ (TT t)
Then add Just 2 :: Maybe Int. Since we know that's also Maybe _b and also TT t, this tells us that _b is Int. We also now know we're looking for a Test instance that gives us TT t = Maybe Int. But that doesn't actually determine what t is! It's possible that there could also be:
instance Test Double where
type TT Double = Maybe Int
doIt (Just a) _ = fromIntegral a
doIt Nothing b = b
Now it would be valid to choose t as either Int or Double; either would work fine with your code (since the 25 could also be a Double), but would print different things!
It's tempting to complain that because there's only one instance for t where TT t = Maybe Int that we should choose that one. But the instance selection logic is defined not to guess this way. If you're in a situation where it's possible that another matching instance should exist, but isn't there due to an error in the code (forgot to import the module where it's defined, for example), then it doesn't commit to the only matching instance it can see. It only chooses an instance when it knows no other instance could possibly apply.2
So the "there's only one instance where TT t = Maybe Int" argument doesn't let GHC work backward to settle that t could be Int.
And in general with type families you can only "work forwards"; if you know the type you're applying a type family to you can tell from that what the resulting type should be, but if you know the resulting type this doesn't identify the input type(s). This is often surprising, since ordinary type constructors do let us "work backwards" this way; we used this above to conclude from Maybe _b = Maybe Int that _b = Int. This only works because with new data declarations, applying the type constructor always preserves the argument type in the resulting type (e.g. when we apply Maybe to Int, the resulting type is Maybe Int). The same logic doesn't work with type families, because there could be multiple type family instances mapping to the same type, and even when there isn't there is no requirement that there's an identifiable pattern connecting something in the resulting type to the input type (I could have type TT Char = Maybe (Int -> Double, Bool).
So you'll often find that when you need to add a type annotation, you'll often find that adding one in a place whose type is the result of a type family doesn't work, and you'll need to pin down the input to the type family instead (or something else that is required to be the same type as it).
1 Note that the line you quoted as working in your question main = putStrLn $ show $ doIt (Just 2) 25::Int does not actually work. The :: Int signature binds "as far out as possible", so you're actually claiming that the entire expression putStrLn $ show $ doIt (Just 2) 25 is of type Int, when it must be of type IO (). I'm assuming when you really checked it you put brackets around 25 :: Int, so putStrLn $ show $ doIt (Just 2) (25 :: Int).
2 There are specific rules about what GHC considers "certain knowledge" that there could not possibly be any other matching instances. I won't get into them in detail, but basically when you have instance Constraints a => SomeClass (T a), it has to be able to unambiguously pick an instance only by considering the SomeClass (T a) bit; it can't look at the constraints left of the => arrow.
In Haskell, I just know that
:type ((+)(1))
((+)(1)) :: Num a => a -> a
((+)(1） 2
3
But how about
:type abs(sqrt)
abs(sqrt) :: (Floating a, Num (a -> a)) => a -> a
Actually, I try many times but fail to use the function 'abs(sqrt)'. Then I have a few questions. What is the type(class?) '(Floating a, Num (a -> a))'? Is it possible to use the function 'abs(sqrt)'? How?
A type class is a way to generalize functions so that they can be polymorphic and others can implement those functions for their own types. Take as an example the type class Show, which in a simplified form looks like
class Show a where
show :: a -> String
This says that any type that implements the Show typeclass can be converted to a String (there's some more complication for more realistic constraints, but the point of having Show is to be able to convert values to Strings).
In this case, the function show has the full type Show a => a -> String.
If we examine the function sqrt, its type is
> :type sqrt
sqrt :: Floating a => a -> a
And for abs:
> :type abs
abs :: Num b => b -> b
If you ask GHCi what the types are it will use the type variable a in both cases, but I've used b in the type signature for abs to make it clear that these are different type variables of the same name, and it will help avoid confusion in the next step.
These type signatures mean that sqrt takes a value whose type implements the Floating typeclass (use :info Floating to see all the members) and returns a value of that same type, and that the abs function takes a value whose type implements the Num typeclass and returns a value of that same type.
The expression abs(show) is equivalently parsed as abs sqrt, meaning that sqrt is the first and only argument passed to abs. However, we just said that abs takes a value of a Num type, but sqrt is a function, not a number. Why does Haskell accept this instead of complaining? The reason can be seen a little more clearly when we perform substitution with the type signatures. Since sqrt's type is Floating a => a -> a, this must match the argument b in abs's type signature, so by substituting b with Floating a => a -> a we get that abs sqrt :: (Floating a, Num (a -> a)) => a -> a.
Haskell actually allows the function type to implement the Num typeclass, you could do it yourself although it would likely be nonsensical. However, just because something wouldn't seem to make sense to GHC, so long as the types can be cleanly solved it will allow it.
You can't really use this function, it just doesn't really make sense. There is no built-in instance of Num (a -> a) for any a, so you'd have to define your own. You can, however, compose the functions abs and sqrt using the composition operator .:
> :type abs . sqrt
abs . sqrt :: Floating c => c -> c
And this does make sense. This function is equivalent to
myfunc x = abs (sqrt x)
Note here that x is first applied to sqrt, and then the result of that computation is passed to abs, rather than passing the function sqrt to abs.
When you see Num (a -> a) it generally means you made a mistake somewhere.
Perhaps you really wanted: abs . sqrt which has type Floating c => c -> c - i.e. it's a function of a Floating type (e.g. Float, Double) to the same Floating type.
It is probably not possible to use this function.
What's likely happening here is that the type is saying that abs(sqrt) has the constraints that a must be of type class Floating and (a -> a) must be of type class Num. In other words, the sqrt function needs to be able to be treated as if it was a number.
Unfortunately, sqrt is not of type class Num so there won't be any input that will work here (not that it would make sense anyway). However, some versions of GHCi allow you to get the type of as if it were possible.
Have a look at Haskell type length + 1 for a similar type problem.
As ErikR has said, perhaps you meant to write abs . sqrt instead.
I'm having trouble wrapping my mind around the relationship (and interactions) between Haskell's forall and => (and for that matter the . that often connects them).
For example
λ> :t (+)
λ> :t id
give
(+) :: forall a. Num a => a -> a -> a
id :: forall a. a -> a
and while I understand how these work in these specific cases, I'm not comfortable parsing the expressions (signatures?) forall a. Num a => or forall a. themselves into something meaningful, or that I can generally understand in more complex contexts.
What do forall a. Num a => and forall a. mean? Specifically, what is the roles played in each by forall, => and a?
(As another perspective, without invoking the "implicit dictionary passing" implementation of type classes):
forall a. in Haskell means "for every type a".1 It's introducing a type variable, and declaring that the rest of the type expression has to be valid whatever choice is made for a.
You usually don't see it in basic Haskell (without turning on any extensions in GHC), because it's not necessary; you just use type variables in your type signature, and GHC automatically assumes there are foralls introducing those variables at the start of the expression.
For example:
zip :: forall a. ( forall b. ( [a] -> [b] -> [(a, b)] ))
zip :: forall a. forall b. [a] -> [b] -> [(a, b)]
zip :: forall a b. [a] -> [b] -> [(a, b)]
zip :: [a] -> [b] -> [(a, b)]
The above are all the same; they just tell us that zip can be a way of zipping a list of a together with a list of b to make a list of (a, b) pairs, whatever choice we feel like making for a and b.
forall mainly comes into play with extensions, because then you can introduce type variables with scopes other than the default ones assumed by GHC if you don't explicitly write them.
Now, the constraints => type syntax can be read roughly as "these constraints imply this type", or "provided these constraints hold, you can use this type". It's used all the time, even in vanilla Haskell with no extensions, so it's important to understand what it means and how it works and not just copy and paste and hope.
The => arrow allows us to state a set of constraints on the variables in the rest of the type expression; it lets us put limitations on what choices can be made to introduce the type variable. You should read it first by ignoring everything left of the => arrow, and reading the the right part on its own. This gives you the "shape" of the type. The stuff to the left of the => arrow tells you what kind of types you can use the rest of the type with.
An example:
(+) :: Num a => a -> a -> a
This means that (+) is exactly the same kind of thing as anything with a simpler type like a -> a -> a, except the Num a => is telling us that we're not free to choose any type a. We can only choose a type for a when we know that it is a member of the Num type class (another slightly more precise way of saying "a is a member of Num is "the constraint Num a holds").
Note that GHC is still assuming that there's an implicit forall a to introduce the type variable a here, so it really looks like:
(+) :: forall a. Num a => a -> a -> a
In which case you can read this off moderately easily as an English sentence once you know what forall a. and Num a => means: "For every type a, provided Num a holds, plus has the type a -> a -> a".
1 If you're familiar with formal logic at all, it's just an ASCII-friendly way of writing ∀a, a "universally quantified variable".
As the forall matter appears to be settled, I'll attempt to explain the => a bit. The things to the left of the => are arguments, much like ones to the left of a ->. But you don't apply these arguments manually, and they can only have specific types.
f :: Num a => a -> a
is a function that takes two arguments:
A Num a dictionary.
An a.
When you apply f, you just provide the a. GHC has to provide the Num a. If it's applied to a specific concrete type like Int, GHC knows Num Int and can supply it at the call site. Otherwise, it checks that Num a is provided by some outer context and uses that one. The great thing about Haskell's typeclass system is that it ensures that any two Num a dictionaries, however they are found, will be identical. So it doesn't matter where the dictionary comes from—it is sure to be the right one.
Further discussion
A lot of these things we're talking about aren't exactly part of Haskell so much as they're part of the way GHC interprets Haskell by translation to GHC core, AKA System FC, an extension of the very well-studied System F, AKA the Girard-Reynolds calculus. System FC is an explicitly typed polymorphic lambda calculus with algebraic datatypes, etc., but no type inference, no instance resolution, etc. After GHC checks the types in your Haskell code, it translates that code to System FC by a thoroughly mechanical process. It can do this confidently because the type checker "decorates" the code with all the information the desugarer needs to plumb all the dictionaries around. If you have a Haskell function that looks like
foo :: forall a . Num a => a -> a -> a
foo x y= x + y
then that will translate to something that looks like
foo :: forall a . Num a -> a -> a -> a
foo = /\ (a :: *) -> \ (d :: Num a) -> \ (x :: a) -> \ (y :: a) -> (+) #a d x y
The /\ is a type lambda—it's just line a normal lambda except it takes a type variable. The # represents application of a type to a function that takes one. The + is really just a record selector. It chooses the right field from the dictionary it's passed.
I suppose it helps if we add the implied parentheses:
(+) :: ∀ a . ( Num a => (a -> (a -> a)) )
id :: ∀ a . ( a -> a )
The ∀ always goes together with a .. It's basically special syntax meaning “anything between ∀ and . are type variables that I want to introduce into the following scope”†
=> denotes what Idris calls an implicit function: Num a is a dictionary for the instance Num a, and such a dictionary is implicitly needed whenever you're adding numbers. But whether a is a type variable here that was previously introduced by some ∀, or a fixed type, doesn't really matter. You could also have
(+) :: Num Int => Int -> Int -> Int
That's just superfluous, because the compiler knows that Int is a Num instance and hence automatically (implicitly!) chooses the right dictionary.
Really, there's no particular relationship between ∀ and =>, they just happen to be used often together.
†Actually this is a type-level lambda. The type expression ∀ a . b behaves analogously to the value level expression \a -> b.
As an example, consider the trivial function
f :: (Integral b) => a -> b
f x = 3 :: Int
GHC complains that it cannot deduce (b ~ Int). The definition matches the signature in the sense that it returns something that is Integral (namely an Int). Why would/should GHC force me to use a more specific type signature?
Thanks
Type variables in Haskell are universally quantified, so Integral b => b doesn't just mean some Integral type, it means any Integral type. In other words, the caller gets to pick which concrete types should be used. Therefore, it is obviously a type error for the function to always return an Int when the type signature says I should be able to choose any Integral type, e.g. Integer or Word64.
There are extensions which allow you to use existentially quantified type variables, but they are more cumbersome to work with, since they require a wrapper type (in order to store the type class dictionary). Most of the time, it is best to avoid them. But if you did want to use existential types, it would look something like this:
{-# LANGUAGE ExistentialQuantification #-}
data SomeIntegral = forall a. Integral a => SomeIntegral a
f :: a -> SomeIntegral
f x = SomeIntegral (3 :: Int)
Code using this function would then have to be polymorphic enough to work with any Integral type. We also have to pattern match using case instead of let to keep GHC's brain from exploding.
> case f True of SomeIntegral x -> toInteger x
3
> :t toInteger
toInteger :: Integral a => a -> Integer
In the above example, you can think of x as having the type exists b. Integral b => b, i.e. some unknown Integral type.
The most general type of your function is
f :: a -> Int
With a type annotation, you can only demand that you want a more specific type, for example
f :: Bool -> Int
but you cannot declare a less specific type.
The Haskell type system does not allow you to make promises that are not warranted by your code.
As others have said, in Haskell if a function returns a result of type x, that means that the caller gets to decide what the actual type is. Not the function itself. In other words, the function must be able to return any possible type matching the signature.
This is different to most OOP languages, where a signature like this would mean that the function gets to choose what it returns. Apparently this confuses a few people...