This is my second try to define the problem, I can't get my head around it.
I want to be able to define an algebraic type and define a simple typeclass over it, let's say Show. In haskell I do:
data Tree a = EmptyTree | Node a deriving (Show)
Now, if I type EmptyTree - haskell can show it, so it belongs to Show.
Now I am trying to do the same in scala:
sealed abstract class Tree[+T]
case object EmptyTree extends Tree[Nothing]
case class Node[T](value: T) extends Tree[T]
Then I define Show around it:
implicit def show[T] = Show.showA[Tree[T]]
I can do println((EmptyTree : Tree[Int]).show). But I can't do println(EmptyTree.show) (response is value show is not a member of object EmptyTree)
I have to write additional:
implicit class MyShowOps[A, +T <: Tree[A]](t: T) {
def showMy(implicit ev: Show[Tree[A]]): String = ev.shows(t)
}
And only then I can do println(EmptyTree.showMy)
It still doesn't sound correct, I believe either I am trying to do a wrong thing and I am not supposed to apply Show like that and should use my construction only as Tree[T] or I am missing a proper construction from Scalaz.
Scala's representation of ADTs differs from Haskell's in that its constructors have their own types. This is partly about practical interoperability—using subtyping is natural on the JVM—and it has both advantages and disadvantages.
You're running into one of the disadvantages, which is that having values that are statically typed as a constructor type often complicates type inference and implicit resolution.
Type class instances are statically resolved, and in your case specifically Show isn't contravariant, so an instance for Tree[T] isn't an instance for EmptyTree.type. The most idiomatic solution from the Scalaz perspective is to provide smart constructors that return the ADT type:
import scalaz.Show, scalaz.syntax.show._
sealed abstract class Tree[+T]
object Tree {
private[this] case object EmptyTree extends Tree[Nothing]
private[this] case class Node[T](value: T) extends Tree[T]
val emptyTree: Tree[Nothing] = EmptyTree
def node[T](value: T): Tree[T] = Node(value)
implicit def show[T]: Show[Tree[T]] = Show.showA[Tree[T]]
}
Now you can write Tree.emptyTree.show.
Note that this problem also turns up in even simpler contexts. For example, suppose we want to fold over a list with an Option as the accumulator:
scala> List(1, 2, 3).foldLeft(Some(0))((acc, i) => acc.map(_ + i))
<console>:11: error: type mismatch;
found : Option[Int]
required: Some[Int]
List(1, 2, 3).foldLeft(Some(0))((acc, i) => acc.map(_ + i))
^
Because the inferred type for Some(0) is Some[Int], not Option[Int], the type parameter that's inferred for the foldLeft method is too restrictive for the result of the map.
It would be nice if the standard library provided Option.none and Option.some "constructors" for cases like this, but it doesn't, so you either have to put a type annotation on the first argument or use something like Scalaz's none and some:
scala> import scalaz._, Scalaz._
import scalaz._
import Scalaz._
scala> List(1, 2, 3).foldLeft(some(0))((acc, i) => acc.map(_ + i))
res0: Option[Int] = Some(6)
In your case you presumably control the ADT definition, so you can provide smart constructors like this yourself.
Related
In the following example, it seems that the Scala compiler only recognizes an implicit class when it is defined to take the higher-kinded representation of Wrapper. Why is that?
scala> case class Nested(n: Int)
defined class Nested
scala> case class Wrapper[A <: Product](nested: A)
defined class Wrapper
scala> implicit class I1[W <: Wrapper[A], A <: Product](underlying: W) {
| def ok1() = true
| }
defined class I1
scala> Wrapper(Nested(5)).ok1()
<console>:26: error: value ok1 is not a member of Wrapper[Nested]
Wrapper(Nested(5)).ok1()
^
scala> implicit class I2[W <: Wrapper[_]](underlying: W) {
| def ok2() = true
| }
defined class I2
scala> Wrapper(Nested(5)).ok2()
res1: Boolean = true
Is there a workaround for implicit resolution that maintains full information about the nested type, allowing typeclass evidence, e.g., TypeTag, to be attached to it?
Note: the example above shows Nested and Wrapper to be case classes but that's not integral to the question. It's simply a convenience for a shorter and simpler console session.
This is happening because of a limitation in Scala's type inference. See SI-2272.
The implicit fails to resolve because the compiler cannot properly infer A. We can see this if we enable -Xlog-implicits. Notice that A is inferred as Nothing:
I1 is not a valid implicit value for Test.w.type => ?{def ok: ?} because:
inferred type arguments [Wrapper[Nested],Nothing] do not conform to method I1's type parameter bounds [W <: Wrapper[A],A <: Product]
The same thing happens if we try to instantiate I1 manually:
scala> val w = Wrapper(Nested(5))
w: Wrapper[Nested] = Wrapper(Nested(5))
scala> new I1(w)
<console>:21: error: inferred type arguments [Wrapper[Nested],Nothing] do not conform to class I1's type parameter bounds [W <: Wrapper[A],A <: Product]
new I1(w)
^
<console>:21: error: type mismatch;
found : Wrapper[Nested]
required: W
new I1(w)
^
Now, the work-arounds.
First, Wrapper is a case class, so there shouldn't be a reason for it to have sub-types. You can remove the W type parameter, and change underlying to a Wrapper[A]:
implicit class I1[A <: Product](underlying: Wrapper[A]) {
def ok = true
}
If you still wish to require two type parameters, you can also require implicit evidence that W <:< Wrapper[A], while removing the upper-bound on the type parameter W:
implicit class I1[W, A <: Product](underlying: W)(implicit ev: W <:< Wrapper[A]) {
def ok = true
}
Everything Michael said is true. Here is some extra perspective on this issue.
Because of the way you wrote your implicit class it looks like you want the implicit class to work on all subtypes of Wrapper and have as specific information about all types involved as possible. (99% of the time it's a bad idea to extend case classes, but it is possible, and these tricks also work for non case classes).
The trick basically is to make sure that all the type parameters that you want inferred are present somewhere in the value parameter lists. Another thing to keep in mind is this:
scala> trait Foo[A]; trait Bar extends Foo[Int]
defined trait Foo
defined trait Bar
scala> implicitly[Bar with Foo[Int] =:= Bar]
res0: =:=[Bar with Foo[Int],Bar] = <function1>
Take these two pieces of knowledge and you can rewrite your implicit class like this:
implicit class I1[Y, A <: Product](underlying: Y with Wrapper[A]) {
def ok1(): (Y, A) = ???
}
And see it at work:
scala> :paste
// Entering paste mode (ctrl-D to finish)
case class Nested(n: Int)
case class Wrapper[A <: Product](nested: A)
class Crazy(override val nested: Nested) extends Wrapper[Nested](nested)
implicit class I1[Y, A <: Product](underlying: Y with Wrapper[A]) {
def ok1(): (Y, A) = ???
}
// Exiting paste mode, now interpreting.
scala> :type Wrapper(Nested(5)).ok1()
(Wrapper[Nested], Nested)
scala> :type new Crazy(Nested(5)).ok1()
(Crazy, Nested)
Note that the last solution Michael gave is based on the same thing: by moving the upper bound to the implicit parameter list, A is now present in the value parameter lists and can be inferred by the compiler.
Using Shapeless, I tried to get a Generic[F] via:
import shapeless._
class F(x: Int)
but it failed:
scala> Generic[F]
<console>:20: error: could not find implicit value for parameter gen: shapeless.Generic[F]
Generic[F]
^
Can shapeless produce a Generic[F]? If so, how?
What representation would you want for F? You could say it should be HNil, but the x isn't be visible outside of the body of the class, so Shapeless makes the decision not to provide any instance at all. This is "just" a design decision—the right one in my view, but it's easy to imagine Shapeless providing the HNil instance for your class.
It would also be reasonably easy to define your own instance for F, which is possible because Generic is just another type class:
import shapeless._
class F(x: Int)
object F {
implicit val genericF: Generic.Aux[F, HNil] = new Generic[F] {
type Repr = HNil
def from(r: HNil): F = new F(0)
def to(t: F): HNil = HNil
}
}
As another answer notes, you can get Shapeless to provide an instance for you by changing your class to a case class. That's not the only way, though—you could also change the constructor parameter to a val or just remove it:
scala> class F(val x: Int)
defined class F
scala> shapeless.Generic[F]
res0: shapeless.Generic[F]{type Repr = shapeless.::[Int,shapeless.HNil]} = anon$macro$3$1#73e5dfa9
scala> class F()
defined class F
scala> shapeless.Generic[F]
res1: shapeless.Generic[F]{type Repr = shapeless.HNil} = anon$macro$5$1#4e0e355c
You couldn't make the parameter a var or make the class abstract, though (unless it was sealed and had case class or object implementations). Or rather you could, but then you'd have to define your own instances again, and you'd be breaking the contract in the Generic documentation, which says that the characterized type should be an "immutable data type that has a canonical way of constructing and deconstructing instances".
As far as I know the exact details of what kinds of arrangements of class definitions will get Generic instances isn't documented anywhere (and the source isn't easy reading), but it's pretty easy to test the limits you're interested in by trying out specific cases in the REPL.
Let's say I have a coproduct (a sealed trait) such as
sealed trait Traity
case object Foo extends Traity
case class Bar() extends Traity
case class Baz() extends Traity
Using shapeless, I can apply polymorphic functions to specific instances but what I'd like to do is to apply a zero-parameter (no-instance) polymorphic function to all the products (i.e. case classes and case objects). I have no idea what the syntax would look like, but something conceptually like:
object mypoly extends Poly1 {
implicit def traity[T <: Traity] = when[T]( getClass[T].toString )
}
iterate[Traity](mypoly) // gives List("Foo", "Bar", "Baz")
would suit my purposes.
For the example use case in your question, this is actually very straightforward:
import shapeless._
class NameHelper[A] {
def apply[C <: Coproduct, K <: HList]()(implicit
gen: LabelledGeneric.Aux[A, C],
keys: ops.union.Keys.Aux[C, K],
toSet: ops.hlist.ToTraversable.Aux[K, Set, Symbol]
): Set[String] = toSet(keys()).map(_.name)
}
def names[A] = new NameHelper[A]
And then:
scala> names[Traity]()
res0: Set[String] = Set(Bar, Baz, Foo)
(I'm using a Set since the order you're getting is just alphabetical—it's not currently possible to enumerate the constructors in declaration order, although I'd personally prefer that.)
If you'd like a more generic answer, an adaptation of the code in the question I linked above shouldn't be too bad—I'd be happy to add it here later.
Looking at the source for List.scala:
sealed abstract class List[+A] extends ...
...
def isEmpty: Boolean
def head: A
def tail: List[A]
List[+A] is covariant based on the +A. Does this mean that, it's possible to create a List[T] where T can be the type itself, or any of its sub-classes?
example:
scala> trait Kid
defined trait Kid
scala> case class Boy(name: String) extends Kid
defined class Boy
scala> case class Girl(name: String) extends Kid
defined class Girl
scala> val list: List[Kid] = List(Boy("kevin"), Girl("sally"))
list: List[Kid] = List(Boy(kevin), Girl(sally))
Observe that head and tail's types are A and List[A], respectively. Once we've defined List[+A], then head and tail's A is also covariant?
I've read this StackOverflow answer 3 or 4 times, but I don't understand yet.
Your example does not relate to variance. Moreover, head and tail have nothing to do with variance too.
scala> val list: List[Kid] = List(Boy("kevin"), Girl("sally"))
list: List[Kid] = List(Boy(kevin), Girl(sally))
This would work even if List weren't covariant, because Scala will automatically deduce common supertype of Boy and Girl, that is, Kid, and type of the expression on the right side will be List[Kid], exactly what you require on the left side.
The following, however, doesn't work because java.util.List is not covariant (it is invariant since it is Java type):
scala> import java.util.{List => JList, Arrays}
import java.util.{List=>JList, Arrays}
scala> trait Kid
defined trait Kid
scala> case class Boy(name: String) extends Kid
defined class Boy
scala> val list1 = Arrays.asList(Boy("kevin"), Boy("bob"))
list1: java.util.List[Boy] = [Boy(kevin), Boy(bob)]
scala> val list2: JList[Kid] = list1
<console>:12: error: type mismatch;
found : java.util.List[Boy]
required: java.util.List[Kid]
Note: Boy <: Kid, but Java-defined trait List is invariant in type E.
You may wish to investigate a wildcard type such as `_ <: Kid`. (SLS 3.2.10)
val list2: JList[Kid] = list1
^
Arrays.asList method has signature like this:
def asList[T](args: T*): java.util.List[T]
As java.util.List[T] is invariant, it is impossible to assign JList[Boy] (list1) to JList[Kid] (list2). And there is a reason: if you could, then because JList is mutable, you could also add anything extending Kid (not only Boy) into the same list, breaking type safety.
On the other hand, scala.List will work in exactly the same situation:
scala> val list1 = List(Boy("kevin"), Boy("bob"))
list1: List[Boy] = List(Boy(kevin), Boy(bob))
scala> val list2: List[Kid] = list1
list2: List[Kid] = List(Boy(kevin), Boy(bob))
That is because scala.List is covariant in its type parameter. Note that covariant List type works as if List[Boy] were subtype of List[Kid], very similar to the case when you can assign everything to a variable of type Any because every other type is a subtype of Any. This is very helpful analogy.
Contravariance works in a very similar way, but in other direction. Consider this trait:
trait Predicate[-T] {
def apply(obj: T): Boolean
}
object Predicate {
// convenience method to convert functions to predicates
def apply[T](f: (T) => Boolean) = new Predicate[T] {
def apply(obj: T) = f(obj)
}
}
Note the - before T parameter: it is a contravariance annotation, that is, Predicate[T] is defined to be contravariant in its only type parameter.
Recall that for covariant list List[Boy] was a subtype of List[Kid]. Well, for contravariant predicate it works in the opposite way: Predicate[Kid] is a subtype of Predicate[Boy], so you can assign a value of type Predicate[Kid] to a variable of type Predicate[Boy]:
scala> val pred1: Predicate[Kid] = Predicate { kid => kid.hashCode % 2 == 0 }
pred1: Predicate[Kid] = Predicate$$anon$1#3bccdcdd
scala> val pred2: Predicate[Boy] = pred1
pred2: Predicate[Boy] = Predicate$$anon$1#3bccdcdd
If Predicate[T] weren't contravariant, we wouldn't be able to assign pred1 to pred2, though it is completely legitimate and safe: obviously, predicates defined on supertypes can easily work on subtypes.
In short, variance affects type compatibility between parameterized types. List is covariant, so you can assign a value of type List[Boy] to a variable of type List[Kid] (in fact, for any T extending S, you can assign a value of type List[T] to a variable of type List[S]).
On the other hand, because, Predicate is contravariant, you can assign Predicate[Kid] to Predicate[Boy] (that is, for any T extending S, you can assign a value of type Predicate[S] to a variable of type Predicate[T]).
If a type is invariant in its type parameter, neither of the above can be done (as is demonstrated by JList).
Note the correspondence between parameterized types and their parameters:
T <: S ===> List [T] <: List [S] (covariance)
T <: S ===> Predicate[S] <: Predicate[T] (contravariance)
This is the reason why the first effect is called *co*variance (T <: S on the left, and
..T.. <: ..S.. on the right), and the second is *contra*variance (T <: S on the left, but ..S.. <: ..T.. on the right).
Whether to make your own parameterized types covariant or contravariant or invariant depends on your class responsibilities. If it may only return values of generic type, then it makes sense to use covariance. List[T], for example, only contains methods which return T, never accept T as a parameter, so it is safe to make it covariant in order to increase expressiveness. Such parameterized types can be called producers.
If your class only accepts values of the generic type as a parameter, not returns them (exactly like Predicate above which has single method def apply(obj: T): Boolean), then you can safely make it contravariant. Such parameterized types can be called consumers
If your class both accepts and returns values of the generic type, i.e. it is both a producer and a consumer, then you have no choice but to leave the class invariant in this generic type parameter.
This idiom is usually called "PECS" ("Producer extends, Consumer super") because variance annotations are written extends and super in Java.
I have two case classes
case class StringCaseClass(argument: String)
case class IntCaseClass(argument: Int)
I want to define a structural type which will match the companion object of both of these
type HasApply1 {
def apply[A, R](argument: A): R
}
This will compile fine, but when I try to use it like this
def method(caseClass: HasApply1) {
// whatever
}
method(StringCaseClass)
I will get a compiler error
found : StringCaseClass.type
required: WithApply1
(which expands to) AnyRef{def apply[A, R](string: A): R}
Is there any way of accomplishing this? If I redefine the structural type to have concrete types for A and R it will compile correctly, but then I lose the flexiblity
#aloiscochard's comment is almost there. What he forgot to mention is that case class companion objects already implement the appropriate FunctionN trait, so you can simply do this,
scala> case class StringCaseClass(argument: String)
defined class StringCaseClass
scala> case class IntCaseClass(argument: Int)
defined class IntCaseClass
scala> def method[A, R](caseClass: A => R, a: A) = caseClass(a)
method: [A, R](caseClass: A => R, a: A)R
scala> method(StringCaseClass, "foo")
res0: StringCaseClass = StringCaseClass(foo)
scala> method(IntCaseClass, 23)
res1: IntCaseClass = IntCaseClass(23)
In general you should avoid structural typing as it's very expensive. The call will be converted into a reflection call because of limitations in the JVM. When you start using scala 2.10 structural types will result in a warning at compile time (though you could disable that using a flag).
If you're looking into a more general way to add functionality to classes that don't share an inheritance hierarchy you could use Type Classes.
Here's a quick example:
trait CanCreateRFromA[A,R]{
def createNew(a:A): R
}
implicit object CanCreateBlahFromInt extends CanCreateRFromA[Int,Blah2]{
def createNew(i:Int):Blah2 = new Blah2(i)
}
implicit object CanCreateBlah1FromString extends CanCreateRFromA[String,Blah1]{
def createNew(s:String):Blah1 = new Blah1(s)
}
case class Blah1(something:String)
case class Blah2(something:Int)
def createRFromA[A,R](a:A)(implicit tc:CanCreateRFromA[A,R])= tc.createNew(a)
Then you can call:
createRFromA(1) // This gives a Blah2
createRFromA("1") // This gives a Blah1
Again I'm not sure what you're trying to accomplish, but it probably is possible to do what you want with a type class and it will be much faster.
You didn't pass an instance of StringCaseClass to your method. What you passed there is companion object of StringCaseClass (which is automatically generated for case classes).
Try if this works: method(StringCaseClass("dummy")).