implementing mapTree function - dictionary

i am asket to Define the function:
treeMap :: (a -> b) -> BinaryTree a -> BinaryTree b
Which takes a function and a binary tree, and produces a binary tree in which all nodes are the result of applying the function on the given tree
the binary tree is:
data BinaryTree a = Nil | BNode a (BinaryTree a) (BinaryTree a)
and my code doesnt complie. i am getting an error of:
error: Not in scope: data constructor ‘BinaryTree’
treeMap f (BNode x (BinaryTree l) (BinaryTree r)) = | ^^^^^^^^^^
my code:
data BinaryTree a = Nil | BNode a (BinaryTree a) (BinaryTree a)
treeMap :: (a -> b) -> BinaryTree a -> BinaryTree b
treeMap f Nil = Nil
treeMap f (BNode x (BinaryTree l) (BinaryTree r)) =
BNode (f x) (BinaryTree (treeMap f l)) (BinaryTree (treeMap f r))

Your pattern (BNode x (BinaryTree l) (BinaryTree r)) is not a valid pattern. Indeed the data definition of a binary tree says:
data BinaryTree a = Nil | BNode a (BinaryTree a) (BinaryTree a)
so that means that BNode is a data constructor that packs three arguments. The type of the last two arguments is BinaryTree a, but you can not use types in pattern matching.
You thus should use l and r as variables for these parameters (or you can use the data constructors of the BinaryTree a type).
The same when you construct a BinaryTree a type. You call the constructor with BNode x l r with x, l and r the values, you do not specify the types here in the expression. You can specify the types, byt then you use the :: operator.
You can thus fix your code with:
treeMap :: (a -> b) -> BinaryTree a -> BinaryTree b
treeMap f Nil = Nil
treeMap f (BNode x l r) = BNode (f x) (treeMap f l) (treeMap f r)
or more elegant:
treeMap :: (a -> b) -> BinaryTree a -> BinaryTree b
treeMap f = go
where go Nil = Nil
go (BNode x l r) = BNode (f x) (go l) (go r)
That being said, you can let ghc derive the Functor instance for you, by using the DeriveFunctor pragma:
{-# LANGUAGE DeriveFunctor #-}
data BinaryTree a = Nil | BNode a (BinaryTree a) (BinaryTree a) deriving Functor
The treeMap is just fmap :: Functor f => (a -> b) -> f a -> f b with f ~ BinaryTree here.

Related

Haskell: How can I implement an applicative functor on own map data type?

I am very new to Haskell and I wrote a Data Type in Haskell
for representing an interval map.
What does that mean? Briefly: A map data type that gives you a value back
for every possible key (put simply in my case [0..]).
Then you insert "sequences" like I want my map to hold from 7 to 23 'b'
so keys 0 to 6 will be init value e.g. 'a' and 7 to 23 will be 'b' and 24 and ongoing will be 'a' again etc.
I managed to wrote the Data Type, a get and insert function as well as a
functor version.
But I can't managed to get a applicative functor version to work.
The idea is to set the keys value to [0..] and just work on the values.
Here is my code and thanks for any provided help!
-- Building an interval map data structure in haskell
data IntervalMap k v = IntervalMap {keys :: [k] , values :: [v]} | Empty deriving Show
-- k = key, Typ variable
-- v = value, Typ variable
singleton :: (Enum k, Num k) => v -> IntervalMap k v
singleton v = IntervalMap{keys=[0..], values= repeat v}
-- get operator => a ! 5 = value at position 5
(!) :: Ord k => IntervalMap k v -> k -> v
(!) iMap k = snd (head (filter (\(x, y) -> x == k) (zip (keys iMap) (values iMap)) ))
-- insert a sequence into intervalMap
insert :: (Ord k, Num k, Enum k) => k -> k -> v -> IntervalMap k v -> IntervalMap k v
insert start end value iMap = IntervalMap {keys=keys iMap, values = rangeChanger (values iMap) start end value}
-- helper function to change a range of values in an intervalMap
rangeChanger :: (Num a1, Enum a1, Ord a1) => [a2] -> a1 -> a1 -> a2 -> [a2]
rangeChanger iMapValues start end value = [if (i >= start) && (i <= end) then newValue else iMapValue | (iMapValue, newValue, i) <- zip3 iMapValues (repeat value) [0..]]
-- functor instance for intervalMap
instance Functor (IntervalMap k) where
-- fmap :: (a -> b) -> f a -> f b
fmap f iMap = IntervalMap {keys=keys iMap, values= map f (values iMap) }
-- applicative functor for intervalMap
instance (Ord k, Num k, Enum k) => Applicative (IntervalMap k) where
pure k = IntervalMap{keys=[0..], values=repeat k}
_ <*> Nothing = Nothing
-- HOW TO DO?
-- class Functor functor => Applicative functor where
-- pure :: a -> functor a
-- (<*>) :: functor (a -> b) -> functor a -> functor b
-- (*>) :: functor a -> functor b -> functor b
-- (<*) :: functor a -> functor b -> functor a
It seems like you always expect the keys to be [0..], e.g. it is hard-coded in your rangeChanger function. If that is the case then it is redundant and honestly I would leave it out. You can easily reconstruct it by doing something like zip [0..] (values iMap) as you do in the rangeChanger function.
If you make that change, then your IntervalMap data structure is basically the same as ZipList which has an applicative instance here:
instance Applicative ZipList where
pure x = ZipList (repeat x)
liftA2 f (ZipList xs) (ZipList ys) = ZipList (zipWith f xs ys)
You see that this doesn't define a <*> but that can be defined in terms of liftA2: p <*> q = liftA2 (\f x -> f x) p q, so you could also write that explicitly for ZipList:
ZipList fs <*> ZipList xs = ZipList (zipWith (\f x -> f x) fs xs)
Edit: I should also mention that one difference with ZipList is that you have an Empty constructor for your IntervalMap type. That makes things harder, you would need to know that your values have some sort of default value, but that is not possible in general (not every type has a default value), so your type cannot be an Applicative. Do you really need that Empty case?

How do I write Functor and Applicative for Vector-Composition?

I´m trying to learn more about dependent types using IDRIS.
The example I am trying to emulate uses composition of Vectors.
I understand Functor and Applicative implementations for Vectors but I am struggling to implement them for the Composition.
data Vector : Nat -> Type -> Type where
Nil : Vector Z a
(::) : a -> Vector n a -> Vector (S n) a
Functor (Vector n) where
map f [] = []
map f (x::xs) = f x :: map f xs
Applicative (Vector n) where
pure = replicate _
fs <*> vs = zipWith apply fs vs
Now the Composition and Decomposition-Function look like this:
data (:++) : (b -> c) -> (a -> b) -> a -> Type where
Comp : (f . g) x -> (f :++ g) x
unComp : (f :++ g) a -> (f . g) a
unComp (Comp a) = a
User with Vectors it encapsulates a Vector of Vectors.
Now I need an Applicative for the Composition (Vector n) :++ (Vector n).
I can´t even get Functor to work and am mainly trying to see what I´m doing wrong. I tried the following and, since Functor is already implemented for Vectors, that this would work
Functor ((Vector n) :++ (Vector n)) where
map f (Comp []) = Comp []
map f (Comp (x::xs)) = Comp ((f x) :: (map f (Comp xs)))
but the Compiler gives an Error-Message:
When checking an application of constructor Main.:::
Unifying a and Vector (S n) a would lead to infinite value
Isn´t unifying and element of type a and a Vector n a exactly the purpose of (::)?
I am obviously doing something wrong and I can´t get this to work. I also have the feeling it´s probably easy to solve, but after hours of reading and trying I still don´t get it.
If someone could give me advice or explain to me how the Functor and Applicative implementations could look like, I would be very grateful.
Update: Idris 2 now has this builtin. Functor for Compose, Applicative for Compose
I think you can implement a general instance of Functor and Applicative like with Haskell's Compose.
newtype Compose f g a = Compose { getCompose :: f (g a) }
instance (Functor f, Functor g) => Functor (Compose f g) where
fmap f (Compose x) = Compose (fmap (fmap f) x)
a <$ (Compose x) = Compose (fmap (a <$) x)
instance (Applicative f, Applicative g) => Applicative (Compose f g) where
pure x = Compose (pure (pure x))
Compose f <*> Compose x = Compose (liftA2 (<*>) f x)
liftA2 f (Compose x) (Compose y) =
Compose (liftA2 (liftA2 f) x y)
To answer your specific question (but don't do it this way):
Functor ((Vector n) :++ (Vector n)) where
map f (Comp x) = Comp $ map (map f) x

Haskell mapTree implementation using foldTree

This code is from an assignment I already solved. Still I am trying to figure out if I could fix my initial attempt.
So we got this tree structure and the foldTree function.
data Tree a = Leaf a
| Node (Tree a) (Tree a)
foldTree :: (b -> b -> b) -> (a -> b) -> Tree a -> b
foldTree op f (Leaf x) = f x
foldTree op f (Node l r) = foldTree op f l `op` foldTree op f r
Now mapTree has to be implemented using foldTree.
I got it done this way.
mapTree :: (a -> b) -> Tree a -> Tree b
mapTree' f tree = foldTree Node (Leaf . f) tree
What I initially came up with and still don't get to work is this:
mapTree :: (a -> b) -> Tree a -> Tree b
mapTree f tree = foldTree Node transFunc tree
where transFunc :: Tree a -> Tree b
transFunc (Leaf x) = Leaf (f x)
transFunc (Node l r) = Node (transFunc l) (transFunc r)
The second function is wrong because of its type: Tree a -> Tree b while foldTree expects it to be a -> b where a is taken from Tree a. b is required by mapTree to be Tree b therefore the third argument to foldTree should be of type a -> Tree b.
So the simplest fixed version of your transFunc is:
mapTree :: forall a b. (a -> b) -> Tree a -> Tree b
mapTree f tree = foldTree Node transFunc tree
where transFunc :: a -> Tree b
transFunc x = Leaf (f x)
Note that you need to enable ScopedTypeVariables extension to compile it.
And that version of transFunc is an equivalent of your working solution: (Leaf . f)

SML: Polymorphic function that calls another instantiation of itself

Is there a way, to write a polymorphic function (in sml), that calls itself with arguments of different type than the arguments it has got?
For example, I was looking on this answer, (it has the declaration datatype ('a,'b)alterlist = Nil| element of 'a*('b,'a)alterlist;) and intuitively, I would like to implement the function unzip, as:
fun unzip Nil = ([],[]) |
unzip (element(x,l)) = let val (b,a)=unzip l in (x::a,b) end;
The type inference system understands it as ('a,'a) alterlist -> 'a list * 'a list, but I want something of type ('a,'b) alterlist -> 'a list * 'b list (such that the inner call is to a ('b,'a) alterlist -> 'b list * 'a list)
I believe what you are asking for is polymorphic recursion, which is not implemented in standard ML.
This is however implemented in Haskell (and as #seanmcl pointed out, ocaml):
import Prelude hiding(unzip)
data Alterlist a b = Nil | Elem a (Alterlist b a)
unzip :: Alterlist a b -> ([a], [b])
unzip Nil = ([], [])
unzip (Elem x l) =
let (b, a) = unzip l
in (x : a, b)
x = Elem 1 (Elem True (Elem 5 (Elem False Nil)))
*Main> unzip x
([1,5],[True,False])

recursion in ocaml nested lists

I am new to Ocaml and am writing code to substitute elements in nested Ocaml lists. My code is as follows:
type 'a sexp = S of 'a | L of 'a sexp list
My substitution function(it replaces all occurrences of element a with b in nested lists) is as follows:
let rec subst a b list = match list with
| [] -> list
| S s :: t -> if s = a then (S b) :: (subst a b t) else (S s) :: (subst a b t)
| L l :: t -> (subst a b l) :: (subst a b t)
Despite multiple attempts(for nearly 6 hours), I have not been able to compile this code.. Please help!
Can I suggest to first write a function subst of type 'a -> 'a -> 'a sexp -> 'a sexp instead? It would read
let subst x y sexp =
let rec visit = function
| S z -> S (if z = x then y else z)
| L sexps -> L (List.map visit sexps)
in
visit sexp
and arguably nicely and idiomatically captures the idea of recursing over an sexp.
Now, to obtain a function to operate on lists rather than single sexps, you can easily define a function subst_list of type 'a -> 'a -> 'a sexp list -> 'a sexp list:
let subst_list x y sexps = List.map (subst x y) sexps
Even nicer is to abstract away from substitution and have a more generally applicable function map of type ('a -> 'b) -> 'a sexp -> 'b sexp for performing structure-preserving mappings of sexps:
let map f sexp =
let rec visit = function
| S x -> S (f x)
| L sexps -> L (List.map visit sexps)
in
visit sexp
And then define subst in terms of map and subst_list, as before, in terms of subst:
let subst x y sexp = map (fun z -> if z = x then y else z) sexp
let subst_list x y sexps = List.map (subst x y) sexps
Note: using an F# compiler here; I don't have an OCaml compiler on this computer.
The last line of your subst function has an error: It should be as follows:
| L l :: t -> L (subst a b l) :: (subst a b t)
So the complete code would look like this:
type 'a Sexp =
| S of 'a
| L of 'a Sexp list
let rec subst (a) (b) (lst : 'a Sexp list) =
match lst with
| [] -> lst
| S s :: t -> if s = a then (S b) :: (subst a b t) else (S s) :: (subst a b t)
| L l :: t -> L (subst a b l) :: (subst a b t)
let test () =
let (lst : int Sexp list) = [S 1; L [S 2; L [S 3]; S 4]; S 5]
let a = 2
let b = 3
subst a b lst
The output of test() is
[S 1; L [S 3; L [S 3]; S 4]; S 5]
The reason is that your function subst returns a 'a Sexp list. If you omit the L constructor from the last line, then subst a b l is of type 'a Sexp list, which you are attempting to cons with another list of type 'a Sexp list. This does not work.
Nor was this your intention, since you wanted to end up with an entity of type 'a Sexp list, which means you must cons an element of type 'a Sexp with a list of type 'a Sexp list. By specifying the L constructor, you are creating an element of type 'a Sexp list, which you can now cons with the rest of the list.
It looks like your function subst is supposed to return something of type 'a sexp list. That's what the first and second match cases return.
In the third match case, then, your returned value is:
(subst a b l) :: (subst a b t)
Since your function returns 'a sexp list, this type doesn't make a lot of sense. The head of the list is of type 'a sexp list and the tail of the list is also of type 'a sexp list. It's very difficult to come up with any lists that have this kind of structure. I think what you want is for the head of the list to be of type 'a sexp.
If you want the head of the list to be of type 'a sexp, you need some way of packaging up a list of things into a single 'a sexp. If this isn't enough of a hint, look at your L constructor. That's exactly what it does.

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