Advanced Functions & Closures
Finally, let’s discuss some advanced features having to do with functions and closures: function pointers, diverging functions, and returning closures.
Function pointers
We’ve talked about how to pass closures to functions, but you can pass regular
functions to functions too! Functions coerce to the type fn
, with a lower
case ‘f’ not to be confused with the Fn
closure trait. fn
is called a
function pointer. The syntax for specifying that a parameter is a function
pointer is similar to that of closures, as shown in Listing 19-38:
Filename: src/main.rs
fn add_one(x: i32) -> i32 {
x + 1
}
fn do_twice(f: fn(i32) -> i32, arg: i32) -> i32 {
f(arg) + f(arg)
}
fn main() {
let answer = do_twice(add_one, 5);
println!("The answer is: {}", answer);
}
This prints The answer is: 12
. We specify that the parameter f
in
do_twice
is an fn
that takes one parameter of type i32
and returns an
i32
. We can then call f
in the body of do_twice
. In main
, we can pass
the function name add_one
as the first argument to do_twice
.
Unlike closures, fn
is a type rather than a trait, so we specify fn
as the
parameter type directly rather than declaring a generic type parameter with one
of the Fn
traits as a trait bound.
Function pointers implement all three of the closure traits (Fn
, FnMut
, and
FnOnce
), so we can always pass a function pointer as an argument when calling
a function that expects a closure. Prefer to write functions using a generic
type and one of the closure traits, so that your functions can accept either
functions or closures. An example of a case where you’d only want to accept
fn
is when interfacing with external code that doesn’t have closures: C
functions can accept functions as arguments, but C doesn’t have closures.
For example, if we wanted to use the map
function to turn a vector of numbers
into a vector of strings, we could use a closure:
let list_of_numbers = vec![1, 2, 3];
let list_of_strings: Vec<String> = list_of_numbers
.iter()
.map(|i| i.to_string())
.collect();
Or we could name a function as the argument to map
instead of the closure:
let list_of_numbers = vec![1, 2, 3];
let list_of_strings: Vec<String> = list_of_numbers
.iter()
.map(ToString::to_string)
.collect();
Note that we do have to use the fully qualified syntax that we talked about in
the “Advanced Traits” section because there are multiple functions available
named to_string
; here, we’re using the to_string
function defined in the
ToString
trait, which the standard library has implemented for any type that
implements Display
.
Some people prefer this style, some people prefer the closure. They end up with the same code, so use whichever feels more clear to you.
Returning Closures
Because closures are represented by traits, returning closures is a little
tricky; we can’t do it directly. In most cases where we may want to return a
trait, we can instead use the concrete type that implements the trait of what
we’re returning as the return value of the function. We can’t do that with
closures, though. They don’t have a concrete type that’s returnable; we’re not
allowed to use the function pointer fn
as a return type, for example.
This code that tries to return a closure directly won’t compile:
fn returns_closure() -> Fn(i32) -> i32 {
|x| x + 1
}
The compiler error is:
error[E0277]: the trait bound `std::ops::Fn(i32) -> i32 + 'static:
std::marker::Sized` is not satisfied
--> <anon>:2:25
|
2 | fn returns_closure() -> Fn(i32) -> i32 {
| ^^^^^^^^^^^^^^ the trait `std::marker::Sized` is
not implemented for `std::ops::Fn(i32) -> i32 + 'static`
|
= note: `std::ops::Fn(i32) -> i32 + 'static` does not have a constant size
known at compile-time
= note: the return type of a function must have a statically known size
The Sized
trait again! Rust doesn’t know how much space it’ll need to store the
closure. We saw a solution to this in the previous section, though: we can use
a trait object:
fn returns_closure() -> Box<Fn(i32) -> i32> {
Box::new(|x| x + 1)
}
For more about trait objects, refer back to Chapter 18.
Summary
Whew! Now we’ve gone over features of Rust that aren’t used very often, but are available if you need them. We’ve introduced a lot of complex topics so that when you encounter them in error message suggestions or when reading others’ code, you’ll at least have seen these concepts and syntax once before.
Now, let’s put everything we’ve learned throughout the book into practice with one more project!