I'm trying to write a function which takes a slice of numbers and calculates the mean.
I tried using the ideas from Implementing mean function for generic types but get an error.
My code is:
extern crate num;
use num::{FromPrimitive, Zero};
use std::ops::{Add, Div};
fn main() {
let mut numbers = [10, -21, 15, 20, 18, 14, 18];
let err = "Slice is empty.";
println!("Mean is {:.3}", mean(&numbers).expect(err));
}
fn mean<T>(numbers: &[T]) -> Option<f64>
where
T: Copy + Zero + Add<T, Output = T> + Div<T, Output = T> + FromPrimitive,
{
match numbers.len() {
0 => None,
_ => {
let sum = numbers.iter().sum: ();
let length = FromPrimitive::from_usize(numbers.len()).unwrap();
Some(sum / length)
}
}
}
The error is:
error[E0658]: type ascription is experimental (see issue #23416)
--> src/main.rs:20:23
|
20 | let sum = numbers.iter().sum: ();
| ^^^^^^^^^^^^^^^^^^^^^^
Is there any way of writing a generic mean function without using experimental features?