* `Ord` inherits from `Eq`
* `TotalOrd` inherits from `TotalEq`
* `TotalOrd` inherits from `Ord`
* `TotalEq` inherits from `Eq`
This is a partial implementation of #12517.
Formatting via reflection has been a little questionable for some time now, and
it's a little unfortunate that one of the standard macros will silently use
reflection when you weren't expecting it. This adds small bits of code bloat to
libraries, as well as not always being necessary. In light of this information,
this commit switches assert_eq!() to using {} in the error message instead of
{:?}.
In updating existing code, there were a few error cases that I encountered:
* It's impossible to define Show for [T, ..N]. I think DST will alleviate this
because we can define Show for [T].
* A few types here and there just needed a #[deriving(Show)]
* Type parameters needed a Show bound, I often moved this to `assert!(a == b)`
* `Path` doesn't implement `Show`, so assert_eq!() cannot be used on two paths.
I don't think this is much of a regression though because {:?} on paths looks
awful (it's a byte array).
Concretely speaking, this shaved 10K off a 656K binary. Not a lot, but sometime
significant for smaller binaries.
This weeds out a bunch of warnings building stdtest on windows, and it also adds
a check! macro to the io::fs tests to help diagnose errors that are cropping up
on windows platforms as well.
cc #12516
With the stability attributes we can put public-but unstable modules next to others, so this moves `intrinsics` and `raw` out of the `unstable` module (and marks both as `#[experimental]`).
These two containers are indeed collections, so their place is in
libcollections, not in libstd. There will always be a hash map as part of the
standard distribution of Rust, but by moving it out of the standard library it
makes libstd that much more portable to more platforms and environments.
This conveniently also removes the stuttering of 'std::hashmap::HashMap',
although 'collections::HashMap' is only one character shorter.
This "bubble up an error" macro was originally named if_ok! in order to get it
landed, but after the fact it was discovered that this name is not exactly
desirable.
The name `if_ok!` isn't immediately clear that is has much to do with error
handling, and it doesn't look fantastic in all contexts (if if_ok!(...) {}). In
general, the agreed opinion about `if_ok!` is that is came in as subpar.
The name `try!` is more invocative of error handling, it's shorter by 2 letters,
and it looks fitting in almost all circumstances. One concern about the word
`try!` is that it's too invocative of exceptions, but the belief is that this
will be overcome with documentation and examples.
Close#12037
It unsafe assumptions that any impl of RawPtr is for actual pointers,
that they can be copied by memcpy. Removing it is easy, so I don't
think it's solving a real problem.
This pull request:
1) Changes the initial insertion sort to be in-place, and defers allocation of working set until merge is needed.
2) Increases the increases the maximum run length to use insertion sort for from 8 to 32 elements. This increases the size of vectors that will not allocate, and reduces the number of merge passes by two. It seemed to be the sweet spot in the benchmarks that I ran.
Here are the results of some benchmarks. Note that they are sorting u64s, so types that are more expensive to compare or copy may have different behaviors.
Before changes:
```
test vec::bench::sort_random_large bench: 719753 ns/iter (+/- 130173) = 111 MB/s
test vec::bench::sort_random_medium bench: 4726 ns/iter (+/- 742) = 169 MB/s
test vec::bench::sort_random_small bench: 344 ns/iter (+/- 76) = 116 MB/s
test vec::bench::sort_sorted bench: 437244 ns/iter (+/- 70043) = 182 MB/s
```
Deferred allocation (8 element insertion sort):
```
test vec::bench::sort_random_large bench: 702630 ns/iter (+/- 88158) = 113 MB/s
test vec::bench::sort_random_medium bench: 4529 ns/iter (+/- 497) = 176 MB/s
test vec::bench::sort_random_small bench: 185 ns/iter (+/- 49) = 216 MB/s
test vec::bench::sort_sorted bench: 425853 ns/iter (+/- 60907) = 187 MB/s
```
Deferred allocation (16 element insertion sort):
```
test vec::bench::sort_random_large bench: 692783 ns/iter (+/- 165837) = 115 MB/s
test vec::bench::sort_random_medium bench: 4434 ns/iter (+/- 722) = 180 MB/s
test vec::bench::sort_random_small bench: 187 ns/iter (+/- 38) = 213 MB/s
test vec::bench::sort_sorted bench: 393783 ns/iter (+/- 85548) = 203 MB/s
```
Deferred allocation (32 element insertion sort):
```
test vec::bench::sort_random_large bench: 682556 ns/iter (+/- 131008) = 117 MB/s
test vec::bench::sort_random_medium bench: 4370 ns/iter (+/- 1369) = 183 MB/s
test vec::bench::sort_random_small bench: 179 ns/iter (+/- 32) = 223 MB/s
test vec::bench::sort_sorted bench: 358353 ns/iter (+/- 65423) = 223 MB/s
```
Deferred allocation (64 element insertion sort):
```
test vec::bench::sort_random_large bench: 712040 ns/iter (+/- 132454) = 112 MB/s
test vec::bench::sort_random_medium bench: 4425 ns/iter (+/- 784) = 180 MB/s
test vec::bench::sort_random_small bench: 179 ns/iter (+/- 81) = 223 MB/s
test vec::bench::sort_sorted bench: 317812 ns/iter (+/- 62675) = 251 MB/s
```
This is the best I could manage with the basic merge sort while keeping the invariant that the original vector must contain each element exactly once when the comparison function is called. If one is not married to a stable sort, an in-place n*log(n) sorting algorithm may have better performance in some cases.
for #12011
cc @huonw
Added a seperate in-place insertion sort for short vectors.
Increased threshold for insertion short for 8 to 32 elements
for small types and 16 for larger types. Added benchmarks
for sorting larger types.
This is part of the overall strategy I would like to take when approaching
issue #11165. The only two I/O objects that reasonably want to be "split" are
the network stream objects. Everything else can be "split" by just creating
another version.
The initial idea I had was the literally split the object into a reader and a
writer half, but that would just introduce lots of clutter with extra interfaces
that were a little unnnecssary, or it would return a ~Reader and a ~Writer which
means you couldn't access things like the remote peer name or local socket name.
The solution I found to be nicer was to just clone the stream itself. The clone
is just a clone of the handle, nothing fancy going on at the kernel level.
Conceptually I found this very easy to wrap my head around (everything else
supports clone()), and it solved the "split" problem at the same time.
The cloning support is pretty specific per platform/lib combination:
* native/win32 - uses some specific WSA apis to clone the SOCKET handle
* native/unix - uses dup() to get another file descriptor
* green/all - This is where things get interesting. When we support full clones
of a handle, this implies that we're allowing simultaneous writes
and reads to happen. It turns out that libuv doesn't support two
simultaneous reads or writes of the same object. It does support
*one* read and *one* write at the same time, however. Some extra
infrastructure was added to just block concurrent writers/readers
until the previous read/write operation was completed.
I've added tests to the tcp/unix modules to make sure that this functionality is
supported everywhere.
This removes @[] from the parser as well as much of the handling of it (and `@str`) from the compiler as I can find.
I've just rebased @pcwalton's (already reviewed) `@str` removal (and fixed the problems in a separate commit); the only new work is the trailing commits with my authorship.
Closes#11967
