I'm working through the second edition of the Rust handbook, and decided to try and make the classic Celsius-to-Fahrenheit converter:
fn c_to_f(c: f32) -> f32 {
return ( c * ( 9/5 ) ) + 32;
}
Compiling this with cargo build
will yield the compile-time error:
error[E0277]: the trait bound `f32: std::ops::Mul<{integer}>` is not satisfied
--> src/main.rs:2:12
|
2 | return (c * (9 / 5)) + 32;
| ^^^^^^^^^^^^^ the trait `std::ops::Mul<{integer}>` is not implemented for `f32`
|
= note: no implementation for `f32 * {integer}`
As a new Rust programmer, my interpretation is that I cannot multiply float and integer types together. I solved this by making all of my constants floating points:
fn c_to_f(c: f32) -> f32 {
return ( c * ( 9.0/5.0 ) ) + 32.0;
}
This leaves me with reservations. Coming from C/C++/Java/Python, it was surprising to learn that you cannot simply perform arithmetic on numbers of different types. Is the right thing to simply convert them to the same type, as I did here?
TL;DR:
as
is the most common way to convert between the primitive numeric types but using it requires thinking.In this example though, it's more reasonable to just use floating point literals to start with:
The real problem is that doing mixed type arithmetic is a bit complicated.
If you are multiplying1 a
T
by aT
, you generally expect to get a result of typeT
, at least with the basic types.When mixing types, however, there are some difficulties:
So, for example, what is the ideal result of
i8 * u32
? The smallest type that can encompass the full set of alli8
andu32
values is ai64
. Should that be the result?As another example, what is the ideal result of
f32 * i32
? The smallest type that can encompass the full set of allf32
andi32
values is af64
. Should that be the result?I find the idea of having a such widening rather confusing. It also has performance impacts (operations on
f32
can be much speedier than operations onf64
, once vectorized).Due to those issues, Rust for now requires you to be explicit: which type do you want the computation to be carried in? Which type makes sense for your particular situation?
And then cast appropriately, using
as
, and do think about which rounding mode to apply (.round()
,.ceil()
,.floor()
or.trunc()
when going from floating point to integral).1 Adding, Subtracting and Dividing work in similar ways.