Related
I have function in haskell (lets call it 'dumb') which calls 3 different functions. These three different functions return different types, for example, a boolean or a list of booleans. How can I define function 'dumb' to either return a boolean or a list of booleans?
data Sumtype = givelist Integer | getprod Integer
prod :: Int -> Int
prod x = x*3
listnums :: Int -> [Int]
listnums x = [1...x]
dumb :: Sumtype -> (what comes here..?)
dumb (givelist x) -> listnums x
dum (getprod x) -> prod x
You make it return Either Boolean [Boolean]. But I'm suspicious about your motives. It sounds like an X/Y problem.
You're probably looking for the the Either type, although with it your function will return Either values. It's defined like this:
data Either a b = Left a | Right b
When you want to define a function that can return either a Bool or a list of Bools its type should look something like this:
dumb :: Either Bool [Bool]
In this case 'dumb' will be a function that doesn't take any arguments and return either a Bool or a list of Bools. In the function's body you can return a Bool like this:
Left bool
Or a list of bools like this:
Right [bool]
You can see a concrete example here: http://en.wikibooks.org/wiki/Haskell/More_on_datatypes#More_than_one_type_parameter
All that said though, the reason Sebastian asked you for more details is that Either is rarely used outside of error handling (AFAIK I know anyway). It's possible that in your case you don't really need it at all, but we can't be sure unless you tell us more about the other functions you use in 'dumb' and about your goals.
Unrelated Probems
It appears you are a beginner - welcome to Haskell! I strongly suggest you read and work through one of the many tutorials as that is more efficient and complete than asking individual questions.
Syntax
Let's start with correcting the syntax errors. Constructors, such as Givelist and Getprod must start with a capital letter. The function dumb was typo'ed once. Function definitions use = and not ->.
Types
Now we have type errors to address. The Sumtype uses Integer and you then switch to using Int. Lets just stick with Integer for simplicity.
With these fixes we get:
data Sumtype = Givelist Integer | Getprod Integer
prod :: Integer -> Integer
prod x = x*3
listnums :: Integer -> [Integer]
listnums x = [1...x]
dumb :: Sumtype -> (what comes here..?)
dumb (Givelist x) = listnums x
dumb (Getprod x) = prod x
The Question
You want to know "what comes here" where 'here' is the result type. As written, the function is actually invalid. One definition yields a list of integers, [Integer], while the other yields a single integer Integer. One solution is to use a sum type such as Either Integer [Integer] - this is very much like your pre-existing Sumtype:
dumb :: Sumtype -> Either Integer [Integer]
So now we need to return a constructor of Either in our function definitions. You can lookup the documentation or use :info Either in GHCi to learn the constructors if you don't have them memorized.
dumb (Givelist x) = Right (listnums x)
dumb (Getprod x) = Left (prod x)
Notice we had to use Left for the second case which returns an Integer, because the first type we wrote after Either (the left type) is Integer.
Hi I have a trivial but exhausting question during learning myself the Parameterized Types topic in Haskell. Here is my question:
Look this is the definition of Maybe:
data Maybe a = Just a | Nothing
And we use this like:
Just "hello world"
Just 100
But why can't Just take a type variable?
For example:
Just String
Just Int
I know this problem is quite fool, but I still can't figure it out...
Well, first note that String and Int aren't type variables, but types (type constants, if you will). But that doesn't really matter for the purpose of your question.
What matters is the destinction between Haskells type language and value language. These are generally kept apart. String and Int and Maybe live in the type language, while "hello world" and 100 and Just and Nothing live in the value language. Each knows nothing about the other side. Only, the compiler knows "this discription of a value belongs to that type", but really types exist only at compile-time and values exist only at runtime.
Two things that are a bit confusing:
It's allowed to have names that exist both in the type- and value language. Best-known are () and mere synonym-type like
newtype Endo a = Endo { runEndo :: a -> a }
but really these are two seperate entities: the type constructor Endo :: *->* (see below for these * thingies) and the value constructor Endo :: (a->a) -> Endo a. They just happen to share the same name, but in completely different scopes – much like when you declare both addTwo x = x + 2 and greet x = "Hello "++x, where both uses of the x symbol have nothing to do with each other.
The data syntax seems to intermingle types and values. Everywhere else, types and values must always be separated by a ::, most typically in signatures
"hello world" :: String
100 :: Int
Just :: Int -> Maybe Int
{-hence-}Just 100 :: Maybe Int
Nothing :: Maybe Int
foo :: (Num a, Ord a) => a -> Maybe a -- this really means `forall a . (Num a, Ord a) => a -> Maybe a
foo n | n <= 0 = Nothing
| otherwise = Just $ n - 1
and indeed that syntax can be used to define data in more distinctive way too, if you enable -XGADTs:
data Maybe a where
Just :: a -> Maybe a
Nothing :: Maybe a
Now we have the :: again as a clear distinction between value-level (left) and type-level.
You can actually take it up one more level: the above declaration can also be written
data Maybe :: * -> * where
Just :: a -> Maybe a
Nothing :: Maybe a
Here Maybe :: * -> * means, "Maybe is a type-level thing that has kind * -> *", i.e. it takes a type-level argument of kind * (such as Int) and returns another type-level thing of kind * (here, Maybe Int). Kinds are to types as types are to values.
You can certainly declare data Maybe a = Just String | Nothing, and you can declare data Maybe a = Just Int | Nothing, but only one of them at a time. Using a type variable permits to declare in what way the type of the contents of the constructed values change with the value of the type variable. So data Maybe a = Just a | Nothing tells us that the contents "inside" Just is exactly of the type passed to Maybe. That way Maybe String means that "inside" Just there is a value of type String, and Maybe Int means that "inside" Just there is a value of type Int.
I need to create a function of two parameters, an Int and a [Int], that returns a new [Int] with all occurrences of the first parameter removed.
I can create the function easily enough, both with list comprehension and list recursion. However, I do it with these parameters:
deleteAll_list_comp :: Integer -> [Integer] -> [Integer]
deleteAll_list_rec :: (Integer -> Bool) -> [Integer] -> [Integer]
For my assignment, however, my required parameters are
deleteAll_list_comp :: (Eq a) => a -> [a] -> [a]
deleteAll_list_rec :: (Eq a) => a -> [a] -> [a]
I don't know how to read this syntax. As Google has told me, (Eq a) merely explains to Haskell that a is a type that is comparable. However, I don't understand the point of this as all Ints are naturally comparable. How do I go about interpreting and implementing the methods using these parameters? What I mean is, what exactly are the parameters to begin with?
#groovy #pelotom
Thanks, this makes it very clear. I understand now that really it is only asking for two parameters as opposed to three. However, I still am running into a problem with this code.
deleteAll_list_rec :: (Eq a) => a -> [a] -> [a]
delete_list_rec toDelete [] = []
delete_list_rec toDelete (a:as) =
if(toDelete == a) then delete_list_rec toDelete as
else a:(delete_list_rec toDelete as)
This gives me a "The type signature for deleteAll_list_rec
lacks an accompanying binding" which makes no sense to me seeing as how I did bind the requirements properly, didn't I? From my small experience, (a:as) counts as a list while extracting the first element from it. Why does this generate an error but
deleteAll_list_comp :: (Eq a) => a -> [a] -> [a]
deleteAll_list_comp toDelete ls = [x | x <- ls, toDelete==x]
does not?
2/7/13 Update: For all those who might stumble upon this post in the future with the same question, I've found some good information about Haskell in general, and my question specifically, at this link : http://learnyouahaskell.com/types-and-typeclasses
"Interesting. We see a new thing here, the => symbol. Everything before the => symbol is >called a class constraint. We can read the previous type declaration like this: the >equality function takes any two values that are of the same type and returns a Bool. The >type of those two values must be a member of the Eq class (this was the class constraint).
The Eq typeclass provides an interface for testing for equality. Any type where it makes >sense to test for equality between two values of that type should be a member of the Eq >class. All standard Haskell types except for IO (the type for dealing with input and >output) and functions are a part of the Eq typeclass."
One way to think of the parameters could be:
(Eq a) => a -> [a] -> [a]
(Eq a) => means any a's in the function parameters should be members of the
class Eq, which can be evaluated as equal or unequal.*
a -> [a] means the function will have two parameters: (1) an element of
type a, and (2) a list of elements of the same type a (we know that
type a in this case should be a member of class Eq, such as Num or
String).
-> [a] means the function will return a list of elements of the same
type a; and the assignment states that this returned list should
exclude any elements that equal the first function parameter,
toDelete.
(* edited based on pelotom's comment)
What you implemented (rather, what you think you implemented) is a function that works only on lists of Integers, what the assignment wants you to do is create one that works on lists of all types provided they are equality-comparable (so that your function will also work on lists of booleans or strings). You probably don't have to change a lot: Try removing the explicit type signatures from your code and ask ghci about the type that it would infer from your code (:l yourfile.hs and then :t deleteAll_list_comp). Unless you use arithmetic operations or similar things, you will most likely find that your functions already work for all Eq a.
As a simpler example that may explain the concept: Let's say we want to write a function isequal that checks for equality (slightly useless, but hey):
isequal :: Integer -> Integer -> Bool
isequal a b = (a == b)
This is a perfectly fine definition of isequal, but the type constraints that I have manually put on it are way stronger than they have to. In fact, in the absence of the manual type signature, ghci infers:
Prelude> :t isequal
isequal :: Eq a => a -> a -> Bool
which tells us that the function will work for all input types, as long as they are deriving Eq, which means nothing more than having a proper == relation defined on them.
There is still a problem with your _rec function though, since it should do the same thing as your _comp function, the type signatures should match.
I have a type
class IntegerAsType a where
value :: a -> Integer
data T5
instance IntegerAsType T5 where value _ = 5
newtype (IntegerAsType q) => Zq q = Zq Integer deriving (Eq)
newtype (Num a, IntegerAsType n) => PolyRing a n = PolyRing [a]
I'm trying to make a nice "show" for the PolyRing type. In particular, I want the "show" to print out the type 'a'. Is there a function that returns the type of an algebraic parameter (a 'show' for types)?
The other way I'm trying to do it is using pattern matching, but I'm running into problems with built-in types and the algebraic type.
I want a different result for each of Integer, Int and Zq q.
(toy example:)
test :: (Num a, IntegerAsType q) => a -> a
(Int x) = x+1
(Integer x) = x+2
(Zq x) = x+3
There are at least two different problems here.
1) Int and Integer are not data constructors for the 'Int' and 'Integer' types. Are there data constructors for these types/how do I pattern match with them?
2) Although not shown in my code, Zq IS an instance of Num. The problem I'm getting is:
Ambiguous constraint `IntegerAsType q'
At least one of the forall'd type variables mentioned by the constraint
must be reachable from the type after the '=>'
In the type signature for `test':
test :: (Num a, IntegerAsType q) => a -> a
I kind of see why it is complaining, but I don't know how to get around that.
Thanks
EDIT:
A better example of what I'm trying to do with the test function:
test :: (Num a) => a -> a
test (Integer x) = x+2
test (Int x) = x+1
test (Zq x) = x
Even if we ignore the fact that I can't construct Integers and Ints this way (still want to know how!) this 'test' doesn't compile because:
Could not deduce (a ~ Zq t0) from the context (Num a)
My next try at this function was with the type signature:
test :: (Num a, IntegerAsType q) => a -> a
which leads to the new error
Ambiguous constraint `IntegerAsType q'
At least one of the forall'd type variables mentioned by the constraint
must be reachable from the type after the '=>'
I hope that makes my question a little clearer....
I'm not sure what you're driving at with that test function, but you can do something like this if you like:
{-# LANGUAGE ScopedTypeVariables #-}
class NamedType a where
name :: a -> String
instance NamedType Int where
name _ = "Int"
instance NamedType Integer where
name _ = "Integer"
instance NamedType q => NamedType (Zq q) where
name _ = "Zq (" ++ name (undefined :: q) ++ ")"
I would not be doing my Stack Overflow duty if I did not follow up this answer with a warning: what you are asking for is very, very strange. You are probably doing something in a very unidiomatic way, and will be fighting the language the whole way. I strongly recommend that your next question be a much broader design question, so that we can help guide you to a more idiomatic solution.
Edit
There is another half to your question, namely, how to write a test function that "pattern matches" on the input to check whether it's an Int, an Integer, a Zq type, etc. You provide this suggestive code snippet:
test :: (Num a) => a -> a
test (Integer x) = x+2
test (Int x) = x+1
test (Zq x) = x
There are a couple of things to clear up here.
Haskell has three levels of objects: the value level, the type level, and the kind level. Some examples of things at the value level include "Hello, world!", 42, the function \a -> a, or fix (\xs -> 0:1:zipWith (+) xs (tail xs)). Some examples of things at the type level include Bool, Int, Maybe, Maybe Int, and Monad m => m (). Some examples of things at the kind level include * and (* -> *) -> *.
The levels are in order; value level objects are classified by type level objects, and type level objects are classified by kind level objects. We write the classification relationship using ::, so for example, 32 :: Int or "Hello, world!" :: [Char]. (The kind level isn't too interesting for this discussion, but * classifies types, and arrow kinds classify type constructors. For example, Int :: * and [Int] :: *, but [] :: * -> *.)
Now, one of the most basic properties of Haskell is that each level is completely isolated. You will never see a string like "Hello, world!" in a type; similarly, value-level objects don't pass around or operate on types. Moreover, there are separate namespaces for values and types. Take the example of Maybe:
data Maybe a = Nothing | Just a
This declaration creates a new name Maybe :: * -> * at the type level, and two new names Nothing :: Maybe a and Just :: a -> Maybe a at the value level. One common pattern is to use the same name for a type constructor and for its value constructor, if there's only one; for example, you might see
newtype Wrapped a = Wrapped a
which declares a new name Wrapped :: * -> * at the type level, and simultaneously declares a distinct name Wrapped :: a -> Wrapped a at the value level. Some particularly common (and confusing examples) include (), which is both a value-level object (of type ()) and a type-level object (of kind *), and [], which is both a value-level object (of type [a]) and a type-level object (of kind * -> *). Note that the fact that the value-level and type-level objects happen to be spelled the same in your source is just a coincidence! If you wanted to confuse your readers, you could perfectly well write
newtype Huey a = Louie a
newtype Louie a = Dewey a
newtype Dewey a = Huey a
where none of these three declarations are related to each other at all!
Now, we can finally tackle what goes wrong with test above: Integer and Int are not value constructors, so they can't be used in patterns. Remember -- the value level and type level are isolated, so you can't put type names in value definitions! By now, you might wish you had written test' instead:
test' :: Num a => a -> a
test' (x :: Integer) = x + 2
test' (x :: Int) = x + 1
test' (Zq x :: Zq a) = x
...but alas, it doesn't quite work like that. Value-level things aren't allowed to depend on type-level things. What you can do is to write separate functions at each of the Int, Integer, and Zq a types:
testInteger :: Integer -> Integer
testInteger x = x + 2
testInt :: Int -> Int
testInt x = x + 1
testZq :: Num a => Zq a -> Zq a
testZq (Zq x) = Zq x
Then we can call the appropriate one of these functions when we want to do a test. Since we're in a statically-typed language, exactly one of these functions is going to be applicable to any particular variable.
Now, it's a bit onerous to remember to call the right function, so Haskell offers a slight convenience: you can let the compiler choose one of these functions for you at compile time. This mechanism is the big idea behind classes. It looks like this:
class Testable a where test :: a -> a
instance Testable Integer where test = testInteger
instance Testable Int where test = testInt
instance Num a => Testable (Zq a) where test = testZq
Now, it looks like there's a single function called test which can handle any of Int, Integer, or numeric Zq's -- but in fact there are three functions, and the compiler is transparently choosing one for you. And that's an important insight. The type of test:
test :: Testable a => a -> a
...looks at first blush like it is a function that takes a value that could be any Testable type. But in fact, it's a function that can be specialized to any Testable type -- and then only takes values of that type! This difference explains yet another reason the original test function didn't work. You can't have multiple patterns with variables at different types, because the function only ever works on a single type at a time.
The ideas behind the classes NamedType and Testable above can be generalized a bit; if you do, you get the Typeable class suggested by hammar above.
I think now I've rambled more than enough, and likely confused more things than I've clarified, but leave me a comment saying which parts were unclear, and I'll do my best.
Is there a function that returns the type of an algebraic parameter (a 'show' for types)?
I think Data.Typeable may be what you're looking for.
Prelude> :m + Data.Typeable
Prelude Data.Typeable> typeOf (1 :: Int)
Int
Prelude Data.Typeable> typeOf (1 :: Integer)
Integer
Note that this will not work on any type, just those which have a Typeable instance.
Using the extension DeriveDataTypeable, you can have the compiler automatically derive these for your own types:
{-# LANGUAGE DeriveDataTypeable #-}
import Data.Typeable
data Foo = Bar
deriving Typeable
*Main> typeOf Bar
Main.Foo
I didn't quite get what you're trying to do in the second half of your question, but hopefully this should be of some help.
For a silly challenge I am trying to implement a list type using as little of the prelude as possible and without using any custom types (the data keyword).
I can construct an modify a list using tuples like so:
import Prelude (Int(..), Num(..), Eq(..))
cons x = (x, ())
prepend x xs = (x, xs)
head (x, _) = x
tail (_, x) = x
at xs n = if n == 0 then xs else at (tail xs) (n-1)
I cannot think of how to write an at (!!) function. Is this even possible in a static language?
If it is possible could you try to nudge me in the right direction without telling me the answer.
There is a standard trick known as Church encoding that makes this easy. Here's a generic example to get you started:
data Foo = A Int Bool | B String
fooValue1 = A 3 False
fooValue2 = B "hello!"
Now, a function that wants to use this piece of data must know what to do with each of the constructors. So, assuming it wants to produce some result of type r, it must at the very least have two functions, one of type Int -> Bool -> r (to handle the A constructor), and the other of type String -> r (to handle the B constructor). In fact, we could write the type that way instead:
type Foo r = (Int -> Bool -> r) -> (String -> r) -> r
You should read the type Foo r here as saying "a function that consumes a Foo and produces an r". The type itself "stores" a Foo inside a closure -- so that it will effectively apply one or the other of its arguments to the value it closed over. Using this idea, we can rewrite fooValue1 and fooValue2:
fooValue1 = \consumeA consumeB -> consumeA 3 False
fooValue2 = \consumeA consumeB -> consumeB "hello!"
Now, let's try applying this trick to real lists (though not using Haskell's fancy syntax sugar).
data List a = Nil | Cons a (List a)
Following the same format as before, consuming a list like this involves either giving a value of type r (in case the constructor was Nil) or telling what to do with an a and another List a, so. At first, this seems problematic, since:
type List a r = (r) -> (a -> List a -> r) -> r
isn't really a good type (it's recursive!). But we can instead demand that we first reduce all the recursive arguments to r first... then we can adjust this type to make something more reasonable.
type List a r = (r) -> (a -> r -> r) -> r
(Again, we should read the type List a r as being "a thing that consumes a list of as and produces an r".)
There's one final trick that's necessary. What we would like to do is to enforce the requirement that the r that our List a r returns is actually constructed from the arguments we pass. That's a little abstract, so let's give an example of a bad value that happens to have type List a r, but which we'd like to rule out.
badList = \consumeNil consumeCons -> False
Now, badList has type List a Bool, but it's not really a function that consumes a list and produces a Bool, since in some sense there's no list being consumed. We can rule this out by demanding that the type work for any r, no matter what the user wants r to be:
type List a = forall r. (r) -> (a -> r -> r) -> r
This enforces the idea that the only way to get an r that gets us off the ground is to use the (user-supplied) consumeNil function. Can you see how to make this same refinement for our original Foo type?
If it is possible could you try and nudge me in the right direction without telling me the answer.
It's possible, in more than one way. But your main problem here is that you've not implemented lists. You've implemented fixed-size vectors whose length is encoded in the type.
Compare the types from adding an element to the head of a list vs. your implementation:
(:) :: a -> [a] -> [a]
prepend :: a -> b -> (a, b)
To construct an equivalent of the built-in list type, you'd need a function like prepend with a type resembling a -> b -> b. And if you want your lists to be parameterized by element type in a straightforward way, you need the type to further resemble a -> f a -> f a.
Is this even possible in a static language?
You're also on to something here, in that the encoding you're using works fine in something like Scheme. Languages with "dynamic" systems can be regarded as having a single static type with implicit conversions and metadata attached, which obviously solves the type mismatch problem in a very extreme way!
I cannot think of how to write an at (!!) function.
Recalling that your "lists" actually encode their length in their type, it should be easy to see why it's difficult to write functions that do anything other than increment/decrement the length. You can actually do this, but it requires elaborate encoding and more advanced type system features. A hint in this direction is that you'll need to use type-level numbers as well. You'd probably enjoy doing this as an exercise as well, but it's much more advanced than encoding lists.
Solution A - nested tuples:
Your lists are really nested tuples - for example, they can hold items of different types, and their type reveals their length.
It is possible to write indexing-like function for nested tuples, but it is ugly, and it won't correspond to Prelude's lists. Something like this:
class List a b where ...
instance List () b where ...
instance List a b => List (b,a) b where ...
Solution B - use data
I recommend using data construct. Tuples are internally something like this:
data (,) a b = Pair a b
so you aren't avoiding data. The division between "custom types" and "primitive types" is rather artificial in Haskell, as opposed to C.
Solution C - use newtype:
If you are fine with newtype but not data:
newtype List a = List (Maybe (a, List a))
Solution D - rank-2-types:
Use rank-2-types:
type List a = forall b. b -> (a -> b -> b) -> b
list :: List Int
list = \n c -> c 1 (c 2 n) -- [1,2]
and write functions for them. I think this is closest to your goal. Google for "Church encoding" if you need more hints.
Let's set aside at, and just think about your first four functions for the moment. You haven't given them type signatures, so let's look at those; they'll make things much clearer. The types are
cons :: a -> (a, ())
prepend :: a -> b -> (a, b)
head :: (a, b) -> a
tail :: (a, b) -> b
Hmmm. Compare these to the types of the corresponding Prelude functions1:
return :: a -> [a]
(:) :: a -> [a] -> [a]
head :: [a] -> a
tail :: [a] -> [a]
The big difference is that, in your code, there's nothing that corresponds to the list type, []. What would such a type be? Well, let's compare, function by function.
cons/return: here, (a,()) corresponds to [a]
prepend/(:): here, both b and (a,b) correspond to [a]
head: here, (a,b) corresponds to [a]
tail: here, (a,b) corresponds to [a]
It's clear, then, that what you're trying to say is that a list is a pair. And prepend indicates that you then expect the tail of the list to be another list. So what would that make the list type? You'd want to write type List a = (a,List a) (although this would leave out (), your empty list, but I'll get to that later), but you can't do this—type synonyms can't be recursive. After all, think about what the type of at/!! would be. In the prelude, you have (!!) :: [a] -> Int -> a. Here, you might try at :: (a,b) -> Int -> a, but this won't work; you have no way to convert a b into an a. So you really ought to have at :: (a,(a,b)) -> Int -> a, but of course this won't work either. You'll never be able to work with the structure of the list (neatly), because you'd need an infinite type. Now, you might argue that your type does stop, because () will finish a list. But then you run into a related problem: now, a length-zero list has type (), a length-one list has type (a,()), a length-two list has type (a,(a,())), etc. This is the problem: there is no single "list type" in your implementation, and so at can't have a well-typed first parameter.
You have hit on something, though; consider the definition of lists:
data List a = []
| a : [a]
Here, [] :: [a], and (:) :: a -> [a] -> [a]. In other words, a list is isomorphic to something which is either a singleton value, or a pair of a value and a list:
newtype List' a = List' (Either () (a,List' a))
You were trying to use the same trick without creating a type, but it's this creation of a new type which allows you to get the recursion. And it's exactly your missing recursion which allows lists to have a single type.
1: On a related note, cons should be called something like singleton, and prepend should be cons, but that's not important right now.
You can implement the datatype List a as a pair (f, n) where f :: Nat -> a and n :: Nat, where n is the length of the list:
type List a = (Int -> a, Int)
Implementing the empty list, the list operations cons, head, tail, and null, and a function convert :: List a -> [a] is left as an easy exercise.
(Disclaimer: stole this from Bird's Introduction to Functional Programming in Haskell.)
Of course, you could represent tuples via functions as well. And then True and False and the natural numbers ...