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Add a guide on programming with collections generically
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--- | ||
layout: singlepage-overview | ||
title: Adding Custom Collection Operations (Scala 2.13) | ||
permalink: /overviews/core/:title.html | ||
--- | ||
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**Julien Richard-Foy** | ||
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This guide shows how to write operations that can be applied to any collection type and return the same | ||
collection type, and how to write operations that can be parameterized by the type of collection to build. | ||
It is recommended to first read the article about the | ||
[architecture of the collections]({{ site.baseurl }}/overviews/core/architecture-of-scala-213-collections.html). | ||
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The following sections present how to **consume**, **produce** and **transform** any collection type. | ||
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## Consuming any collection | ||
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In a first section we show how to write a method consuming any collection instance that is part of the | ||
[collection hierarchy](/overviews/collections/overview.html). We show in a second section how to | ||
support *collection-like* types such as `String` and `Array` (which don’t extend `IterableOnce`). | ||
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### Consuming any *actual* collection | ||
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Let’s start with the simplest case: consuming any collection. | ||
You don’t need to know the precise type of the collection, | ||
but just that it *is* a collection. This can be achieved by taking an `IterableOnce[A]` | ||
as parameter, or an `Iterable[A]` if you need more than one traversal. | ||
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For instance, say we want to implement a `sumBy` operation that sums the elements of a | ||
collection after they have been transformed by a function: | ||
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~~~ scala | ||
case class User(name: String, age: Int) | ||
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val users = Seq(User("Alice", 22), User("Bob", 20)) | ||
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println(users.sumBy(_.age)) // “42” | ||
~~~ | ||
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We can define the `sumBy` operation as an extension method, using an | ||
[implicit class](/overviews/core/implicit-classes.html), so that it can be called like a method: | ||
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~~~ scala | ||
implicit class SumByOperation[A](coll: IterableOnce[A]) { | ||
def sumBy[B](f: A => B)(implicit num: Numeric[B]): B = { | ||
val it = coll.iterator | ||
var result = f(it.next()) | ||
while (it.hasNext()) { | ||
result = num.plus(result, it.next()) | ||
} | ||
result | ||
} | ||
} | ||
~~~ | ||
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Unfortunately, this extension method does not work with values of type `String` and not | ||
even with `Array`. This is because these types are not part of the Scala collections | ||
hierarchy. They can be converted to proper collection types, though, but the extension method | ||
will not work directly on `String` and `Array` because that would require applying two implicit | ||
conversions in a row. | ||
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### Consuming any type that is *like* a collection | ||
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If we want the `sumBy` to work on any type that is *like* a collection, such as `String` | ||
and `Array`, we have to add another indirection level: | ||
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~~~ scala | ||
import scala.collection.generic.IsIterableLike | ||
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class SumByOperation[A](coll: IterableOnce[A]) { | ||
def sumBy[B](f: A => B)(implicit num: Numeric[B]): B = ... // same as before | ||
} | ||
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implicit def SumByOperation[Repr](coll: Repr)(implicit it: IsIterableLike[Repr]): SumByOperation[it.A] = | ||
new SumByOperation[it.A](it(coll)) | ||
~~~ | ||
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The type `IsIterableLike[Repr]` has implicit instances for all types `Repr` that can be converted | ||
to `IterableOps[A, Iterable, C]` (for some element type `A` and some collection type `C`). There are | ||
instances for actual collection types and also for `String` and `Array`. | ||
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### Consuming a more specific collection than `Iterable` | ||
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In some cases we want (or need) the receiver of the operation to be more specific than `Iterable`. | ||
For instance, some operations make sense only on `Seq` but not on `Set`. | ||
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In such a case, again, the most straightforward solution would be to take as parameter a `Seq` instead | ||
of an `Iterable` or an `IterableOnce`, but this would work only with *actual* `Seq` values. If you want | ||
to support `String` and `Array` values you have to use `IsSeqLike` instead. `IsSeqLike` is similar to | ||
`IsIterableLike` but provides a conversion to `SeqOps[A, Iterable, C]` (for some types `A` and `C`). | ||
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Using `IsSeqLike` is also required to make your operation work on `SeqView` values, because `SeqView` | ||
does not extend `Seq`. Similarly, there is an `IsMapLike` type that makes operations work with | ||
both `Map` and `MapView` values. | ||
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## Producing any collection | ||
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This situation happens when a library provides an operation that produces a collection while leaving the | ||
choice of the precise collection type to the user. | ||
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For instance, consider a type class `Gen[A]`, whose instances define how to produce values of type `A`. | ||
Such a type class is typically used to create arbitrary test data. | ||
Our goal is to define a `collection` operation that generates arbitrary collections containing arbitrary | ||
values. Here is an example of use of `collection`: | ||
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~~~ | ||
scala> collection[List, Int].get | ||
res0: List[Int] = List(606179450, -1479909815, 2107368132, 332900044, 1833159330, -406467525, 646515139, -575698977, -784473478, -1663770602) | ||
scala> collection[LazyList, Boolean].get | ||
res1: LazyList[Boolean] = LazyList(_, ?) | ||
scala> collection[Set, Int].get | ||
res2: Set[Int] = HashSet(-1775377531, -1376640531, -1009522404, 526943297, 1431886606, -1486861391) | ||
~~~ | ||
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A very basic definition of `Gen[A]` could be the following: | ||
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~~~ scala | ||
trait Gen[A] { | ||
/** Get a generated value of type `A` */ | ||
def get: A | ||
} | ||
~~~ | ||
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And the following instances can be defined: | ||
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~~~ scala | ||
import scala.util.Random | ||
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object Gen { | ||
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/** Generator of `Int` values */ | ||
implicit def int: Gen[Int] = | ||
new Gen[Int] { def get: Int = Random.nextInt() } | ||
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/** Generator of `Boolean` values */ | ||
implicit def boolean: Gen[Boolean] = | ||
new Gen[Boolean] { def get: Boolean = Random.nextBoolean() } | ||
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/** Given a generator of `A` values, provides a generator of `List[A]` values */ | ||
implicit def list[A](implicit genA: Gen[A]): Gen[List[A]] = | ||
new Gen[List[A]] { | ||
def get: List[A] = | ||
if (Random.nextInt(100) < 10) Nil | ||
else genA.get :: get | ||
} | ||
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} | ||
~~~ | ||
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The last definition (`list`) generates a value of type `List[A]` given a generator | ||
of values of type `A`. We could implement a generator of `Vector[A]` or `Set[A]` as | ||
well, but their implementations would be very similar. | ||
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Instead, we want to abstract over the type of the generated collection so that users | ||
can decide which collection type they want to produce. | ||
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To achieve that we have to use `scala.collection.Factory`: | ||
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~~~ scala | ||
trait Factory[-A, +C] { | ||
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/** @return A collection of type `C` containing the same elements | ||
* as the source collection `it`. | ||
* @param it Source collection | ||
*/ | ||
def fromSpecific(it: IterableOnce[A]): C | ||
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/** Get a Builder for the collection. For non-strict collection | ||
* types this will use an intermediate buffer. | ||
* Building collections with `fromSpecific` is preferred | ||
* because it can be lazy for lazy collections. | ||
*/ | ||
def newBuilder: Builder[A, C] | ||
} | ||
~~~ | ||
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The `Factory[A, C]` trait provides two ways of building a collection `C` from | ||
elements of type `A`: | ||
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- `fromSpecific`, converts a source collection of `A` to a collection `C`, | ||
- `newBuilder`, provides a `Builder[A, C]`. | ||
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The difference between these two methods is that the former does not necessarily | ||
evaluate the elements of the source collection. It can produce a non-strict | ||
collection type (such as `LazyList`) that does not evaluate its elements unless | ||
it is traversed. On the other hand, the builder-based way of constructing the | ||
collection necessarily evaluates the elements of the resulting collection. | ||
In practice, it is recommended to [not eagerly evaluate the elements of the collection](/overviews/core/architecture-of-scala-213-collections.html#when-a-strict-evaluation-is-preferable-or-unavoidable). | ||
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Finally, here is how we can implement a generator of arbitrary collection types: | ||
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~~~ scala | ||
import scala.collection.Factory | ||
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implicit def collection[CC[_], A](implicit | ||
genA: Gen[A], | ||
factory: Factory[A, CC[A]] | ||
): Gen[CC[A]] = | ||
new Gen[CC[A]] { | ||
def get: CC[A] = { | ||
val lazyElements = | ||
LazyList.unfold(()) { _ => | ||
if (Random.nextInt(100) < 10) None | ||
else Some((genA.get, ())) | ||
} | ||
factory.fromSpecific(lazyElements) | ||
} | ||
} | ||
~~~ | ||
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The implementation uses a lazy source collection of a random size (`lazyElements`). | ||
Then it calls the `fromSpecific` method of the `Factory` to build the collection | ||
expected by the user. | ||
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## Transforming any collection | ||
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Transforming collections consists in both consuming and producing collections. This is achieved by | ||
combining the techniques described in the previous sections. | ||
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For instance, we want to implement an `intersperse` operation that can be applied to | ||
any sequence and returns a sequence with a new element inserted between each element of the | ||
source sequence: | ||
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~~~ scala | ||
List(1, 2, 3).intersperse(0) == List(1, 0, 2, 0, 3) | ||
"foo".intersperse(' ') == "f o o" | ||
~~~ | ||
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When we call it on a `List`, we want to get back another `List`, and when we call it on | ||
a `String` we want to get back another `String`, and so on. | ||
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Building on what we’ve learned from the previous sections, we can start defining an extension method | ||
using `IsSeqLike` and producing a collection by using an implicit `Factory`: | ||
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~~~ scala | ||
import scala.collection.{ AbstractIterator, AbstractView, Factory, SeqOps } | ||
import scala.collection.generic.IsSeqLike | ||
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class IntersperseOperation[A](seqOps: SeqOps[A, Iterable, _]) { | ||
def intersperse[B >: A, That](sep: B)(implicit factory: Factory[B, That]): That = | ||
factory.fromSpecific(new AbstractView[B] { | ||
def iterator = new AbstractIterator[B] { | ||
val it = seqOps.iterator | ||
var intersperseNext = false | ||
def hasNext = intersperseNext || it.hasNext | ||
def next() = { | ||
val elem = if (intersperseNext) sep else it.next() | ||
intersperseNext = !intersperseNext && it.hasNext | ||
elem | ||
} | ||
} | ||
}) | ||
} | ||
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implicit def IntersperseOperation[Repr](coll: Repr)(implicit seq: IsSeqLike[Repr]): IntersperseOperation[seq.A] = | ||
new IntersperseOperation(seq(coll)) | ||
~~~ | ||
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However, if we try it we get the following behaviour: | ||
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~~~ | ||
scala> List(1, 2, 3).intersperse(0) | ||
res0: Array[Int] = Array(1, 0, 2, 0, 3) | ||
~~~ | ||
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We get back an `Array` although the source collection was a `List`! Indeed, there is | ||
nothing that constrains the result type of `intersperse` to depend on the receiver type. | ||
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To produce a collection whose type depends on a source collection, we have to use | ||
`scala.collection.BuildFrom` (formerly known as `CanBuildFrom`) instead of `Factory`. | ||
`BuildFrom` is defined as follows: | ||
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~~~ scala | ||
trait BuildFrom[-From, -A, +C] { | ||
/** @return a collection of type `C` containing the same elements | ||
* (of type `A`) as the source collection `it`. | ||
*/ | ||
def fromSpecificIterable(from: From)(it: Iterable[A]): C | ||
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/** @return a Builder for the collection type `C`, containing | ||
* elements of type `A`. | ||
*/ | ||
def newBuilder(from: From): Builder[A, C] | ||
} | ||
~~~ | ||
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`BuildFrom` has similar operations to `Factory`, but they take an additional `from` | ||
parameter. Before explaining how implicit instances of `BuildFrom` are resolved, let’s first have | ||
a look at how you can use it. Here is the implementation of `intersperse` based on `BuildFrom`: | ||
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~~~ scala | ||
import scala.collection.{ AbstractView, BuildFrom } | ||
import scala.collection.generic.IsSeqLike | ||
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class IntersperseOperation[Repr, S <: IsSeqLike[Repr](coll: Repr, seq: S) { | ||
def intersperse[B >: seq.A, That](sep: B)(implicit bf: BuildFrom[Repr, B, That]): That = { | ||
val seqOps = seq(repr) | ||
bf.fromSpecific(coll)(new AbstractView[B] { | ||
// same as before | ||
}) | ||
} | ||
} | ||
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implicit def IntersperseOperation[Repr](coll: Repr)(implicit seq: IsSeqLike[Repr]): IntersperseOperation[Repr, seq.type] = | ||
new IntersperseOperation(coll)(seq) | ||
~~~ | ||
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Note that we track the type of the receiver collection `Repr` in the `IntersperseOperation` | ||
class. Now, consider what happens when we write the following expression: | ||
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~~~ scala | ||
List(1, 2, 3).intersperse(0) | ||
~~~ | ||
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An implicit parameter of type `BuildFrom[Repr, B, That]` has to be resolved by the compiler. | ||
The type `Repr` is constrained by the receiver type (here, `List[Int]`) and the type `B` is | ||
inferred by the value passed as a separator (here, `Int`). Finally, the type of the collection | ||
to produce, `That` is fixed by the resolution of the `BuildFrom` parameter. In our case, | ||
there is a `BuildFrom[List[Int], Int, List[Int]]` instance that fixes the result type to | ||
be `List[Int]`. | ||
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## Summary | ||
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- To consume any collection, take an `IterableOnce` (or something more specific such as `Iterable`, `Seq`, etc.) | ||
as parameter, | ||
- To also support `String`, `Array` and `View`, use `IsIterableLike`, | ||
- To produce a collection given its type, use a `Factory`, | ||
- To produce a collection based on the type of a source collection and the type of elements of the collection | ||
to produce, use `BuildFrom`. |
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