Suppose I have this code:
def a(x:Int,y:Int):Int = x+y
def b:(Int,Int) = (1,2)
and I would like to accomplish:
a(b)
What is the proper way of doing this? Also are there more efficient ways of calling a predefined multi-parameter function - in my case 8 - with the results of another function?
how about:
scala> (a _).tupled(b)
res0: Int = 3
a is a method. a _ gives you a partially applied function.
Function2.tupled creates a tupled version from your function.
Related
I can use closure to define function like this:
def product(x: Int) = (y: Int) => x * y
val productBy3 = product(3)
println(productBy3(6)) // 18
OR, using currying:
def curriedProduct(x: Int)(y: Int) = x * y
val productBy3 = curriedProduct(3)_
println(productBy3(6)) // 18
Any advantage/disadvantage one approach has over other?
The first is an example of a method returning a function. The second is an example of a method with multiple parameter lists.
The way you use them, there is no difference.
When called as product(3)(6), the second may be a bit faster, but not to an extent that would normally be a concern.
I would use the first form when the expected way to call it would be with product(3), and use the second form if the normal way to call it would be product(3)(6).
Lastly, I'd like to suggest the possibility of
def product(i: Int, j: Int) = i * j
val productBy3 = product(3, _)
println(productBy3(6)) //18
I don't really see any upsides of using the second form instead of either this alternative or the first alternative in this situation. Using multiple parameter lists may help type inference in scala 2 (see https://docs.scala-lang.org/tour/multiple-parameter-lists.html), but there is no problematic inference here anyway.
I just wanted to clarify something about partially defined functions in Scala. I looked at the docs and it said the type of a partial function is PartialFunction[A,B], and I can define a partial function such as
val f: PartialFunction[Any, Int] = {...}
I was wondering, for the types A and B, is A a parameter, and B a return type? If I have multiple accepted types, do I use orElse to chain partial functions together?
In the set theoretic view of a function, if a function can map every value in the domain to a value in the range, we say that this function is a total function. There can be situations where a function cannot map some element(s) in the domain to the range; such functions are called partial functions.
Taking the example from the Scala docs for partial functions:
val isEven: PartialFunction[Int, String] = {
case x if x % 2 == 0 => x+" is even"
}
Here a partial function is defined since it is defined to only map an even integer to a string. So the input to the partial function is an integer and the output is a string.
val isOdd: PartialFunction[Int, String] = {
case x if x % 2 == 1 => x+" is odd"
}
isOdd is another partial function similarly defined as isEven but for odd numbers. Again, the input to the partial function is an integer and the output is a string.
If you have a list of numbers such as:
List(1,2,3,4,5)
and apply the isEven partial function on this list you will get as output
List(2 is even, 4 is even)
Notice that not all the elements in the original list have been mapped by the partial function. However, there may be situations where you want to apply another function in those cases where a partial function cannot map an element from the domain to the range. In this case we use orElse:
val numbers = sample map (isEven orElse isOdd)
And now you will get as output:
List(1 is odd, 2 is even, 3 is odd, 4 is even, 5 is odd)
If you are looking to set up a partial function that, in effect, takes multiple parameters, define the partial function over a tuple of the parameters you'll be feeding into it, eg:
val multiArgPartial: PartialFunction[(String, Long, Foo), Int] = {
case ("OK", _, Foo("bar", _)) => 0 // Use underscore to accept any value for a given parameter
}
and, of course, make sure you pass arguments to it as tuples.
In addition to other answers, if by "multiple accepted types" you mean that you want the same function accept e.g. String, Int and Boolean (and no other types), this is called "union types" and isn't supported in Scala currently (but is planned for the future, based on Dotty). The alternatives are:
Use the least common supertype (Any for the above case). This is what orElse chains will do.
Use a type like Either[String, Either[Int, Boolean]]. This is fine if you have two types, but becomes ugly quickly.
Encode union types as negation of intersection types.
I defined two functions(method) in Scala REPL:
scala> val b=(x:Int)=>x+1
b: Int => Int = <function1>
scala> def c(x:Int)=x+1
c: (x: Int)Int
And the usage:
scala> b(1)
res4: Int = 2
scala> c(1)
res5: Int = 2
While both definition works, it seems that b and c have different type. And I was wondering whether there are some differences between them. Why doesn't Scala use the same type for b and c? Does anyone have ideas about this?
Not duplicate:
This question is not a duplicate of the linked question. Even though
it asks about the difference between using def and val to define a
function, the code example makes it clear that the asker is confused
about the difference between methods and functions in Scala. The
example doesn't use a def to define a function at all. – Aaron
Novstrup 7 hours ago
The use of def creates a method (in the case of the REPL it will create a method in some global invisible object), val instead will create an anonymous function and assign it to the symbol you specified.
When invoking those they are pretty much the same thing; when you pass them around there is a difference but Scala hides it from you by performing the ETA expansion transparently. As an example if you define this:
def isEven(i: Int): Boolean = i % 2 == 0
And then call
list.filter(isEven)
Scala is transforming that for you in a way that is similar to using the val way instead; take it as a pseudo-code as I don't know so well the scala internals but at at high level this is what happens:
list.filter((i: Int) => isEven(i))
w.r.t Currying in scala, partly I understood below sample code.
def product1(f:Int => Int )(a:Int, b:Int):Int = {
println()
if(a > b ) 1
else
f(a) * product1(f)(a+1, b)
}
product(x => x * x) (3, 4)
Out of it., I am bit confused with
product1(f)
in
product1(f)(a+1, b)
Just need explanation, what goes on here.... :( and how to pronounce verbally while explaining...
Thanks in advance..
product1 has two parameter lists. product1(f) is the application of f which is a function of kind Int => Int. If you were only to call product1(f) like so:
product1(f)
without the second parameter list, you'd get a so-called partially-applied function, i.e. a function which doesn't have all of its parameters bound (you'd still need to provide it with a and b)
Look at the parameter declaration:
f:Int => Int
f is a function that maps an Int to an Int -- it takes an Int as an argument and returns an Int. An example is given:
x => x * x
returns the square of its argument.
product1(x => x * x) (3, 4)
returns the product of f(3) .. f(4) = 3*3 * 4*4
BTW, this isn't really an example of currying, since all the arguments are given. Currying would be something like
val prodSquare = product1(x => x * x)
Then,
prodSquare(1, 5)
yields 1*1 * 2*2 * 3*3 * 4*4 * 5*5
For most idiomatic purposes I've seen, you may as well think of your function as having just one parameter list. Multiple parameter lists are used mostly for type inference purposes in generic functions, since type inference is done one parameter list at a time, rather than using Hindley-Milner/Algorithm W to infer the type of everything at once. Some other language features work on individual parameter lists, such as implicit parameters and implicit use of braces in place of parentheses for single-parameter parameter lists, etc.
Functions with multiple parameter lists are called in a similar way to a curried functions from a syntactic perspective, but by default, the intermediate functions aren't created. In fully curried style, each function takes only at most one argument and returns one result (which might happen to be another function, which expects on argument, and so forth). Technically, currying the function would be:
def product2(f: Int => Int): Int => Int => Int = {
a: Int => {
b: Int => {
if(a > b ) 1
else f(a) * product2(f)(a+1)(b)
}
}
}
For completeness, you can treat a function with multiple parameter lists as a curried function by using an underscore after a complete parameter list. In your original example, you'd do product1(f)_, which would return a function of type (Int, Int) => Int.
In researching this question, I came upon another SO question worth checking out to understand this aspect of the language better.
In Scala, I can define a function with two parameter lists.
def myAdd(x :Int)(y :Int) = x + y
This makes it easy to define a partially applied function.
val plusFive = myAdd(5) _
But, I can accomplish something similar by defining and returning a nested function.
def myOtherAdd(x :Int) = {
def f(y :Int) = x + y
f _
}
Cosmetically, I've moved the underscore, but this still feels like currying.
val otherPlusFive = myOtherAdd(5)
What criteria should I use to prefer one approach over the other?
There are at least four ways to accomplish the same thing:
def myAddA(x: Int, y: Int) = x + y
val plusFiveA: Int => Int = myAddA(5,_)
def myAddB(x: Int)(y : Int) = x + y
val plusFiveB = myAddB(5) _
def myAddC(x: Int) = (y: Int) => x + y
val plusFiveC = myAddC(5)
def myAddD(x: Int) = {
def innerD(y: Int) = x + y
innerD _
}
val plusFiveD = myAddD(5)
You might want to know which is most efficient or which is the best style (for some non-performance based measure of best).
As far as efficiency goes, it turns out that all four are essentially equivalent. The first two cases actually emit exactly the same bytecode; the JVM doesn't know anything about multiple parameter lists, so once the compiler figures it out (you need to help it with a type annotation on the case A), it's all the same under the hood. The third case is also extremely close, but since it promises up front to return a function and specifies it on the spot, it can avoid one internal field. The fourth case is pretty much the same as the first two in terms of work done; it just does the conversion to Function1 inside the method instead of outside.
In terms of style, I suggest that B and C are the best ways to go, depending on what you're doing. If your primary use case is to create a function, not to call in-place with both parameter lists, then use C, because it tells you what it's going to do. (This version is also particularly familiar to people coming from Haskell, for instance.) On the other hand, if you are mostly going to call it in place but will only occasionally curry it, then use B. Again, it says more clearly what it's expected to do.
You could also do this:
def yetAnotherAdd(x: Int) = x + (_: Int)
You should choose the API based on intention. The main reason in Scala to have multiple parameter lists is to help type inference. For instance:
def f[A](x: A)(f: A => A) = ...
f(5)(_ + 5)
One can also use it to have multiple varargs, but I have never seen code like that. And, of course, there's the need for the implicit parameter list, but that's pretty much another matter.
Now, there are many ways you can have functions returning functions, which is pretty much what currying does. You should use them if the API should be thought of as a function which returns a function.
I think it is difficult to get any more precise than this.
Another benefit of having a method return a function directly (instead of using partial application) is that it leads to much cleaner code when using infix notation, allowing you to avoid a bucketload of parentheses and underscores in more complex expressions.
Consider:
val list = List(1,2,3,4)
def add1(a: Int)(b: Int) = a + b
list map { add1(5) _ }
//versus
def add2(a: Int) = a + (_: Int)
list map add2(5)