The function returns the vector length, not the byte size of the vector or the bit size of individual elements. This distinction is very important and some usages of this function in the stdlib operated under these incorrect assumptions.
In general, I don't like the idea of std.meta.trait, and so I am
providing some guidance by deleting the entire namespace from the
standard library and compiler codebase.
My main criticism is that it's overcomplicated machinery that bloats
compile times and is ultimately unnecessary given the existence of Zig's
strong type system and reference traces.
Users who want this can create a third party package that provides this
functionality.
closes#18051
Use inline to vastly simplify the exposed API. This allows a
comptime-known endian parameter to be propogated, making extra functions
for a specific endianness completely unnecessary.
* 128-bit integer multiplication with overflow
* more instruction encodings used by std inline asm
* implement the `try_ptr` air instruction
* follow correct stack frame abi
* enable full panic handler
* enable stack traces
This logic is not correct in most cases. If any instruction needs to
operate with different semantics within `@TypeOf`, it should be made to
do so explicitly.
This broke a line in `std.mem`: I have opted to fix this in std for now,
since as far as I know it's not yet been discussed which operations (if
any) should be special-cased like this within `@TypeOf`.
This reverts commit 0c99ba1eab63865592bb084feb271cd4e4b0357e, reversing
changes made to 5f92b070bf284f1493b1b5d433dd3adde2f46727.
This caused a CI failure when it landed in master branch due to a
128-bit `@byteSwap` in std.mem.
When `std.mem.indexOf` is called with a single-item needle, use `indexOfScalarPos` which is significantly faster than the more general `indexOfPosLinear`. This can be done without introducing overhead to normal cases (where `needle.len > 1`).
These are an order of magnitude quicker than the previous
implementations:
A relative comparison of each, measuring scanning a 1G file.
Reading 1G (1.0000000009313226GiB)
std.mem.sliceTo: 281.232ms
vectorized.sliceTo: 24.769ms
strlen: 24.291ms
std.indexOfScalar: 229.016ms
vectorized.indexOfScalar: 24.685ms
memchr: 24.958ms
Most of this migration was performed automatically with `zig fmt`. There
were a few exceptions which I had to manually fix:
* `@alignCast` and `@addrSpaceCast` cannot be automatically rewritten
* `@truncate`'s fixup is incorrect for vectors
* Test cases are not formatted, and their error locations change
