Add JoinHandle::is_running.
This adds:
```rust
impl<T> JoinHandle<T> {
/// Checks if the the associated thread is still running its main function.
///
/// This might return `false` for a brief moment after the thread's main
/// function has returned, but before the thread itself has stopped running.
pub fn is_running(&self) -> bool;
}
```
The usual way to check if a background thread is still running is to set some atomic flag at the end of its main function. We already do that, in the form of dropping an Arc which will reduce the reference counter. So we might as well expose that information.
This is useful in applications with a main loop (e.g. a game, gui, control system, ..) where you spawn some background task, and check every frame/iteration whether the background task is finished to .join() it in that frame/iteration while keeping the program responsive.
Add #[must_use] to remaining std functions (O-Z)
I've run out of compelling reasons to group functions together across crates so I'm just going to go module-by-module. This is half of the remaining items from the `std` crate, from O-Z.
`panicking::take_hook` has a side effect: it unregisters the current panic hook, returning it. I almost ignored it, but the documentation example shows `let _ = panic::take_hook();`, so following suit I went ahead and added a `#[must_use]`.
```rust
std::panicking fn take_hook() -> Box<dyn Fn(&PanicInfo<'_>) + 'static + Sync + Send>;
```
I added these functions that clippy did not flag:
```rust
std::path::Path fn starts_with<P: AsRef<Path>>(&self, base: P) -> bool;
std::path::Path fn ends_with<P: AsRef<Path>>(&self, child: P) -> bool;
std::path::Path fn with_file_name<S: AsRef<OsStr>>(&self, file_name: S) -> PathBuf;
std::path::Path fn with_extension<S: AsRef<OsStr>>(&self, extension: S) -> PathBuf;
```
Parent issue: #89692
r? `@joshtriplett`
Improve `std::thread::available_parallelism` docs
_Tracking issue: https://github.com/rust-lang/rust/issues/74479_
This PR reworks the documentation of `std::thread::available_parallelism`, as requested [here](https://github.com/rust-lang/rust/pull/89324#issuecomment-934343254).
## Changes
The following changes are made:
- We've removed prior mentions of "hardware threads" and instead centers the docs around "parallelism" as a resource available to a program.
- We now provide examples of when `available_parallelism` may return numbers that differ from the number of CPU cores in the host machine.
- We now mention that the amount of available parallelism may change over time.
- We make note of which platform components we don't take into account which more advanced users may want to take note of.
- The example has been updated, which should be a bit easier to use.
- We've added a docs alias to `num-cpus` which provides similar functionality to `available_parallelism`, and is one of the most popular crates on crates.io.
---
Thanks!
r? `@BurntSushi`
Rename `std::thread::available_conccurrency` to `std::thread::available_parallelism`
_Tracking issue: https://github.com/rust-lang/rust/issues/74479_
This PR renames `std::thread::available_conccurrency` to `std::thread::available_parallelism`.
## Rationale
The API was initially named `std::thread::hardware_concurrency`, mirroring the [C++ API of the same name](https://en.cppreference.com/w/cpp/thread/thread/hardware_concurrency). We eventually decided to omit any reference to the word "hardware" after [this comment](https://github.com/rust-lang/rust/pull/74480#issuecomment-662045841). And so we ended up with `available_concurrency` instead.
---
For a talk I was preparing this week I was reading through ["Understanding and expressing scalable concurrency" (A. Turon, 2013)](http://aturon.github.io/academic/turon-thesis.pdf), and the following passage stood out to me (emphasis mine):
> __Concurrency is a system-structuring mechanism.__ An interactive system that deals with disparate asynchronous events is naturally structured by division into concurrent threads with disparate responsibilities. Doing so creates a better fit between problem and solution, and can also decrease the average latency of the system by preventing long-running computations from obstructing quicker ones.
> __Parallelism is a resource.__ A given machine provides a certain capacity for parallelism, i.e., a bound on the number of computations it can perform simultaneously. The goal is to maximize throughput by intelligently using this resource. For interactive systems, parallelism can decrease latency as well.
_Chapter 2.1: Concurrency is not Parallelism. Page 30._
---
_"Concurrency is a system-structuring mechanism. Parallelism is a resource."_ — It feels like this accurately captures the way we should be thinking about these APIs. What this API returns is not "the amount of concurrency available to the program" which is a property of the program, and thus even with just a single thread is effectively unbounded. But instead it returns "the amount of _parallelism_ available to the program", which is a resource hard-constrained by the machine's capacity (and can be further restricted by e.g. operating systems).
That's why I'd like to propose we rename this API from `available_concurrency` to `available_parallelism`. This still meets the criteria we previously established of not attempting to define what exactly we mean by "hardware", "threads", and other such words. Instead we only talk about "concurrency" as an abstract resource available to our program.
r? `@joshtriplett`
Previously the thread name would first be heap allocated and then
re-allocated to add a nul terminator. Now it will be heap allocated only
once with nul terminator added form the start.
- also clarifies how thread.join and detaching of threads works
- the previous prose implied that there is a relationship between a
spawning thread and the thread being spawned, and that "child" threads
couldn't outlive their parents unless detached, which is incorrect.
The old documentation suggested the use of yield_now for repeated
polling instead of discouraging it; it also made the false claim that
channels are implementing using yield_now. (They are not, except for
a corner case).
Due to the std/alloc split, it is not possible to make
`alloc::collections::TryReserveError::AllocError` non-exhaustive without
having an unstable, doc-hidden method to construct (which negates the
benefits from `#[non_exhaustive]`.
Rollup of 11 pull requests
Successful merges:
- #85054 (Revert SGX inline asm syntax)
- #85182 (Move `available_concurrency` implementation to `sys`)
- #86037 (Add `io::Cursor::{remaining, remaining_slice, is_empty}`)
- #86114 (Reopen#79692 (Format symbols under shared frames))
- #86297 (Allow to pass arguments to rustdoc-gui tool)
- #86334 (Resolve type aliases to the type they point to in intra-doc links)
- #86367 (Fix comment about rustc_inherit_overflow_checks in abs().)
- #86381 (Add regression test for issue #39161)
- #86387 (Remove `#[allow(unused_lifetimes)]` which is now unnecessary)
- #86398 (Add regression test for issue #54685)
- #86493 (Say "this enum variant takes"/"this struct takes" instead of "this function takes")
Failed merges:
r? `@ghost`
`@rustbot` modify labels: rollup
std: Attempt again to inline thread-local-init across crates
Issue #25088 has been part of `thread_local!` for quite some time now.
Historical attempts have been made to add `#[inline]` to `__getit`
in #43931, #50252, and #59720, but these attempts ended up not landing
at the time due to segfaults on Windows.
In the interim though with `const`-initialized thread locals AFAIK this
is the only remaining bug which is why you might want to use
`#[thread_local]` over `thread_local!`. As a result I figured it was
time to resubmit this and see how it fares on CI and if I can help
debugging any issues that crop up.
Closes#25088
Issue #25088 has been part of `thread_local!` for quite some time now.
Historical attempts have been made to add `#[inline]` to `__getit`
in #43931, #50252, and #59720, but these attempts ended up not landing
at the time due to segfaults on Windows.
In the interim though with `const`-initialized thread locals AFAIK this
is the only remaining bug which is why you might want to use
`#[thread_local]` over `thread_local!`. As a result I figured it was
time to resubmit this and see how it fares on CI and if I can help
debugging any issues that crop up.
Closes#25088
This commit adds a variant of the `thread_local!` macro as a new
`thread_local_const_init!` macro which requires that the initialization
expression is constant (e.g. could be stuck into a `const` if so
desired). This form of thread local allows for a more efficient
implementation of `LocalKey::with` both if the value has a destructor
and if it doesn't. If the value doesn't have a destructor then `with`
should desugar to exactly as-if you use `#[thread_local]` given
sufficient inlining.
The purpose of this new form of thread locals is to precisely be
equivalent to `#[thread_local]` on platforms where possible for values
which fit the bill (those without destructors). This should help close
the gap in performance between `thread_local!`, which is safe, relative
to `#[thread_local]`, which is not easy to use in a portable fashion.
bors