This makes it more clear that you can't rely on the layout of these,
which seems worth doing given that the names vaguely suggest that you can
(and the docs only clarify that you can't on Mask but not the maskNxM aliases).
Within core, `use self::` does not work to import these items.
And because core is not core_simd, neither does the existing `use`.
So, use this quirky hack instead, switching the import on a feature.
It looks like the last time had left some remaining cfg's -- which made me think
that the stage0 bump was actually successful. This brings us to a released 1.62
beta though.
Working through giving example documentation to every Simd function.
The major change in this patch is using doc macros to generate
type-specific examples for each function, using a visually-apparent type
constructor. This makes it feel nicer to have twelve separate
documentation entries for reduce_product(), for example.
A simpler variant of rust-lang/portable-simd#206.
* Comparisons are moved to `SimdPartialEq`, `SimdPartialOrd`, and `SimdOrd`. The function names are prefixed with `simd_` to disambiguate from the regular `PartialEq` etc functions. With the functions on traits instead of `Simd` directly, shadowing the function names doesn't work very well.
* Floating point `Ord`-like functions are put into a `SimdFloat` trait. The intention is that eventually (some time after this PR) all floating point functions will be moved from `Simd` to `SimdFloat`, and the same goes for future `SimdInt`/`SimdUint` traits.
This is a documentation-only patch that standardizes the presentation of vector types like `u32x4` and mask types like `mask32x16`.
The reasoning behind the patch was as follows:
1. Standardized terminology should be preferred, so `element` instead of `value` and `SIMD vector` instead of `vector`. These terms appear in the rest of the documentation and tutorials.
2. Try to avoid situations where two numbers are next to each other. So `16 elements of 32 bits` instead of `16 32-bit elements`.
4. Try to anticipate what readers are looking for -- so state the full bit-width directly.
### Vector Types
- Before: Vector of 32 `i8` values
- After: A 256-bit SIMD vector with 32 elements of type `i8`.
### Mask Types
- Before: Vector of 16 16-bit masks
- After: A mask for SIMD vectors with 16 elements of 32 bits.
