It takes a bit of permuting to transform imperative code into a purely functional context.
A setter mutates an object. We're not allowed to do that directly in Haskell because of laziness and purity.
Perhaps, if we transcribe the State monad to another language it'll be more apparent. Your code is in C++, but because I at least want garbage collection I'll use java here.
Since Java never got around to defining anonymous functions, first, we'll define an interface for pure functions.
public interface Function<A,B> {
B apply(A a);
}
Then we can make up a pure immutable pair type.
public final class Pair<A,B> {
private final A a;
private final B b;
public Pair(A a, B b) {
this.a = a;
this.b = b;
}
public A getFst() { return a; }
public B getSnd() { return b; }
public static <A,B> Pair<A,B> make(A a, B b) {
return new Pair<A,B>(a, b);
}
public String toString() {
return "(" + a + ", " + b + ")";
}
}
With those in hand, we can actually define the State monad:
public abstract class State<S,A> implements Function<S, Pair<A, S> > {
// pure takes a value a and yields a state action, that takes a state s, leaves it untouched, and returns your a paired with it.
public static <S,A> State<S,A> pure(final A a) {
return new State<S,A>() {
public Pair<A,S> apply(S s) {
return new Pair<A,S>(a, s);
}
};
}
// we can also read the state as a state action.
public static <S> State<S,S> get() {
return new State<S,S>() {
public Pair<S,S> apply(S, s) {
return new Pair<S,S>(s, s);
}
}
}
// we can compose state actions
public <B> State<S,B> bind(final Function<A, State<S,B>> f) {
return new State<S,B>() {
public Pair<B,S> apply(S s0) {
Pair<A,S> p = State.this.apply(s0);
return f.apply(p.getFst()).apply(p.getSnd());
}
};
}
// we can also read the state as a state action.
public static <S> State<S,S> put(final S newS) {
return new State<S,S>() {
public Pair<S,S> apply(S, s) {
return new Pair<S,S>(s, newS);
}
}
}
}
Now, there does exist a notion of a getter and a setter inside of the state monad. These are called lenses. The basic presentation in Java would look like:
public abstract class Lens[A,B] {
public abstract B get(A a);
public abstract A set(B b, A a);
// .. followed by a whole bunch of concrete methods.
}
The idea is that a lens provides access to a getter that knows how to extract a B from an A, and a setter that knows how to take a B and some old A, and replace part of the A, yielding a new A. It can't mutate the old one, but it can construct a new one with one of the fields replaced.
I gave a talk on these at a recent Boston Area Scala Enthusiasts meeting. You can watch the presentation here.
To come back into Haskell, rather than talk about things in an imperative setting. We can import
import Data.Lens.Lazy
from comonad-transformers or one of the other lens libraries mentioned here. That link provides the laws that must be satisfied to be a valid lens.
And then what you are looking for is some data type like:
data A = A { x_ :: Int }
with a lens
x :: Lens A Int
x = lens x_ (\b a -> a { x_ = b })
Now you can write code that looks like
postIncrement :: State A Int
postIncrement = do
old_x <- access x
x ~= (old_x + 1)
return old_x
using the combinators from Data.Lens.Lazy.
The other lens libraries mentioned above provide similar combinators.