It is simply defined as `f64` across every platform right now.
A use case hasn't been presented for a `float` type defined as the
highest precision floating point type implemented in hardware on the
platform. Performance-wise, using the smallest precision correct for the
use case greatly saves on cache space and allows for fitting more
numbers into SSE/AVX registers.
If there was a use case, this could be implemented as simply a type
alias or a struct thanks to `#[cfg(...)]`.
Closes#6592
The mailing list thread, for reference:
https://mail.mozilla.org/pipermail/rust-dev/2013-July/004632.html
This is for consistency in naming conventions.
- ``std::num::Float::NaN()`` is changed to ``nan()``;
- ``std::num::Float.is_NaN()`` is changed to ``is_nan()``; and
- ``std::num::strconv::NumStrConv::NaN()`` is changed to ``nan()``.
Fixes#9319.
Remove these in favor of the two traits themselves and the wrapper
function std::from_str::from_str.
Add the function std::num::from_str_radix in the corresponding role for
the FromStrRadix trait.
This removes the stacking of type parameters that occurs when invoking
trait methods, and fixes all places in the standard library that were
relying on it. It is somewhat awkward in places; I think we'll probably
want something like the `Foo::<for T>::new()` syntax.
The free-standing functions in f32, f64, i8, i16, i32, i64, u8, u16,
u32, u64, float, int, and uint are replaced with generic functions in
num instead.
If you were previously using any of those functions, just replace them
with the corresponding function with the same name in num.
Note: If you were using a function that corresponds to an operator, use
the operator instead.
