Integer val = some.other.chain.of.objects.value;
In Java, this code has a huge potential for NullPointerExceptions. Instead a new operator (yes, I know) like:
Integer val = some.?other.?chain.?of.?objects.?value;
If any of the intermediate objects are null, the whole assignment becomes null. This could be done with a smarter compiler (easy way), or a new JVM bytecode (probably 'better' but not easy).
T obj = ...;
Optional.of(obj).map(T::some).map(U::other).map(V::methods).getOrElse(null);
Not quite as clean syntactically, but much more general, as the same operations can be applied to other monadic objects.
It may be a good thing to only support that sort of convenience for option types and not for nulls, in order to further encourage their use. Although using nullable types is already pretty darn convenient!
[0]: https://developer.apple.com/library/prerelease/ios/documenta... [1]: https://github.com/rust-lang/rfcs/pull/204
1) Lift regular values into monadic ones in a generic way. Let's say that we have two Monads - Optional and List. There should be a way such that we can take a non-monadic value (the part that will go inside) and turn it into a Monad. So, assuming Monad is a Java-like abstract class, the following should be possible:
Monad<String> m1 = Optional.lift("hello");
Monad<String> m2 = List.lift("hello");
2) Flat-map, typically called bind in this context. Given a monad and a function that takes a value and returns a monad, we should have some way of combining the resulting monads if we were to map this function over the first monad's internal value. So for instance, given an optional string, and a function that takes a string and returns an optional int, we should have some way of combining the Optional<Optional<Integer>> into just an Optional<Integer>. So, in the following contrived example... // Returns a UTF8 string value from a database, may fail
public Optional<String> getUtf8Name() { ... }
// Returns the length of a String if it contains exclusively ascii characters
public Optional<Integer> getAsciiLength(String str) { ... }
... you can compare the differences between it and the Functor's map: Optional<Integer> asciiLength = getUtf8Name().bind(getAsciiLength);
Optional<Integer> otherAsciiLength = getUtf8Name().map(getAsciiLength).getOrElse(Optional.absent());
As it turns out, you can implement the Functor's map method in a generic way using lift and bind. public abstract class Monad<A> implements Functor<A> {
/**
* Implements Functor's map method.
*/
@Override
public <B> Monad<B> map(Function<A, B> fn) {
return this.bind( innerValue -> this.lift(fn.apply(innerValue)) );
}
} Monad<String> m1 = Optional.lift("hello");
Monad<String> m2 = List.lift("hello");
Shouldn't that be Option<String> m1 = Optional.lift("hello");
List<String> m2 = List.lift("hello");
?I never did fill out a GEP but you could try your luck by subbing one, see http://docs.codehaus.org/display/GroovyJSR/Groovy+Enhancemen...
I'd be interested in seeing C#-like getters and setters. As long as they're just getting and setting, they're implied, but if you want to introduce a check or some other logic, you can do so without changing the signature of the class.
Groovy does some of this, but it requires you to use the name of the field - ie. person.age will check for a getAge() method first, then fall back on the "age" field. I quite like that methods have verb-names, but I don't want to verb my fields.
I was thinking this is more for _public_ variables... so like internally, a class could modify it's own readable fields, but code external could read only.
public int MyProperty{
get; //public
private set; //private-only setter
}
but obviously there are a lot of ways to skin that cat.Especially for private APIs i Java I have actually tended to default to public final members, without verbs.
public class Foo { public readable int canSeeeMeButCantChange; public writeable int cantReadMe; public int existingBehavior; }
These are pretty simple changes to the compiler and verifier. You would make canSeeeMeButCantChange an invalid "left hand" variable in the compiler, and the verifier would have to check for any writes to the fields. cantReadMe would be an invalid right hand variable, and a similar check for the verifier. Any other public field behaves as normal.