Methods may have multiple parameter lists.
Here is an example, as defined on the
TraversableOnce trait in Scala’s collections API:
def foldLeft[B](z: B)(op: (B, A) => B): B
foldLeft applies a two-parameter function
op to an initial value
z and all elements of this collection, going left to right. Shown below is an example of its usage.
Starting with an initial value of 0,
foldLeft here applies the function
(m, n) => m + n to each element in the List and the previous accumulated value.
val numbers = List(1, 2, 3, 4, 5, 6, 7, 8, 9, 10) val res = numbers.foldLeft(0)((m, n) => m + n) println(res) // 55
Suggested use cases for multiple parameter lists include:
Single functional parameter
In case of a single functional parameter, like
op in the case of
foldLeft above, multiple parameter lists allow a concise syntax to pass an anonymous function to the method. Without multiple parameter lists, the code would look like this:
numbers.foldLeft(0, (m: Int, n: Int) => m + n)
Note that the use of multiple parameter lists here also allows us to take advantage of Scala type inference to make the code more concise, like this:
numbers.foldLeft(0)(_ + _)
this would not be possible with only a single parameter list, as the Scala compiler would not be able to infer the parameter types of the function.
To specify only certain parameters as
implicit, they must be placed in their own
implicit parameter list.
An example of this is:
def execute(arg: Int)(implicit ec: scala.concurrent.ExecutionContext) = ???
When a method is called with a fewer number of parameter lists, then this will yield a function taking the missing parameter lists as its arguments. This is formally known as partial application.
val numbers = List(1, 2, 3, 4, 5, 6, 7, 8, 9, 10) val numberFunc = numbers.foldLeft(List[Int]()) _ val squares = numberFunc((xs, x) => xs :+ x*x) print(squares) // List(1, 4, 9, 16, 25, 36, 49, 64, 81, 100) val cubes = numberFunc((xs, x) => xs :+ x*x*x) print(cubes) // List(1, 8, 27, 64, 125, 216, 343, 512, 729, 1000)