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make Markdown.parse public #56818

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merged 2 commits into from
Jan 2, 2025
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matthias314
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This has been discussed on Discourse.

I've split the PR into 3 commits:

  • one for making parse public and documenting the public methods,
  • one for renaming the non-public methods to _parse,
  • one for also making the Markdown flavors public.

This way you can more easily decide what to take and what not.

@matthias314 matthias314 changed the title make 'Markdown.parse` public make Markdown.parse public Dec 13, 2024
@nsajko nsajko added stdlib Julia's standard library markdown labels Dec 13, 2024
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I've removed the third commit. Now flavors are not documented anymore. Hopefully the PR can now be merged.

@inkydragon inkydragon requested a review from fredrikekre January 1, 2025 12:47
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This LGTM!

@fredrikekre fredrikekre merged commit 4f1842f into JuliaLang:master Jan 2, 2025
7 checks passed
udesou added a commit to mmtk/julia that referenced this pull request Jan 31, 2025
* Make a failed extension load throw an error during pre-compilation (#56668)

Co-authored-by: Ian Butterworth <i.r.butterworth@gmail.com>

* Remove arraylist_t from external native code APIs. (#56693)

This makes them usable for external consumers like GPUCompiler.jl.

* fix world_age_at_entry in codegen (#56700)

* Fix typo in `@cmd` docstring (#56664)

I'm not sure what `` `cmd` `` could refer to, but it would make sense to
refer to `` `str` `` in this case. I'm assuming it's a typo.

* deps/pcre: Update to version 10.44 (#56704)

* compile: make more efficient by discarding internal names (#56702)

These are not user-visible, so this makes the compiler faster and more
efficient with no effort on our part, and avoids duplicating the
debug_level parameter.

* Automatically enable JITPROFILING with ITTAPI (#55598)

This helps when profiling remotely since VTunes doesn't support
setting environment variables on remote systems.

Will still respect `ENABLE_JITPROFILING=0`.

* Fix string handling in jlchecksum (#56720)

A `TAGGED_RELEASE_BANNER` with spaces such as `Official
https://julialang.org release` produces the error
`/cache/build/builder-amdci4-5/julialang/julia-master/deps/tools/jlchecksum:
66: [: Official: unexpected operator`.

* Clarifying ispunct behavior difference between Julia and C in documentation (#56727)

Fixes #56680. This PR updates the documentation for the ispunct function
in Julia to explicitly note its differing behavior from the similarly
named function in C.

---------

Co-authored-by: Lilith Orion Hafner <lilithhafner@gmail.com>

* [NEWS.md] Add PR numbers and remove some 1.11 changes that accidentally came back. (#56722)

* ircode: cleanup code crud

 - support gc running
 - don't duplicate field 4
 - remove some unused code only previously needed for handling cycles
   (which are not valid in IR)

* ircode: small optimization for nearby ssavalue

Since most ssavalue are used just after their def, this gives a small
memory savings on compressed IR (a fraction of a percent).

* Fix scope of hoisted signature-local variables (#56712)

When we declare inner methods, e.g. the `f` in

```
function fs()
   f(lhs::Integer) = 1
   f(lhs::Integer, rhs::(local x=Integer; x)) = 2
   return f
end
```

we must hoist the definition of the (appropriately mangled) generic
function `f` to top-level, including all variables that were used in the
signature definition of `f`. This situation is a bit unique in the
language because it uses inner function scope, but gets executed in
toplevel scope. For example, you're not allowed to use a local of the
inner function in the signature definition:

```
julia> function fs()
          local x=Integer
          f(lhs::Integer, rhs::x) = 2
          return f
       end
ERROR: syntax: local variable x cannot be used in closure declaration
Stacktrace:
 [1] top-level scope
   @ REPL[3]:1
```

In particular, the restriction is signature-local:
```
julia> function fs()
          f(rhs::(local x=Integer; x)) = 1
          f(lhs::Integer, rhs::x) = 2
          return f
       end
ERROR: syntax: local variable x cannot be used in closure declaration
Stacktrace:
 [1] top-level scope
   @ REPL[4]:1
```

There's a special intermediate form `moved-local` that gets generated
for this definition. In c6c3d72d1cbddb3d27e0df0e739bb27dd709a413, this
form stopped getting generated for certain inner methods. I suspect this
happened because of the incorrect assumption that the set of moved
locals is being computed over all signatures, rather than being a
per-signature property.

The result of all of this was that this is one of the few places where
lowering still generated a symbol as the lhs of an assignment for a
global (instead of globalref), because the code that generates the
assignment assumes it's a local, but the later pass doesn't know this.
Because we still retain the code for this from before we started using
globalref consistently, this wasn't generally causing a problems, except
possibly leaking a global (or potentially assigning to a global when
this wasn't intended). However, in follow on work, I want to make use of
knowing whether the LHS is a global or local in lowering, so this was
causing me trouble.

Fix all of this by putting back the `moved-local` where it was dropped.

Fixes #56711

* ircode: avoid serializing ssaflags in the common case when they are all zero

When not all-zero, run-length encoding would also probably be great
here for lowered code (before inference).

* Extend `invoke` to accept CodeInstance (#56660)

This is an alternative mechanism to #56650 that largely achieves the
same result, but by hooking into `invoke` rather than a generated
function. They are orthogonal mechanisms, and its possible we want both.
However, in #56650, both Jameson and Valentin were skeptical of the
generated function signature bottleneck. This PR is sort of a hybrid of
mechanism in #52964 and what I proposed in
https://github.com/JuliaLang/julia/pull/56650#issuecomment-2493800877.

In particular, this PR:

1. Extends `invoke` to support a CodeInstance in place of its usual
`types` argument.

2. Adds a new `typeinf` optimized generic. The semantics of this
optimized generic allow the compiler to instead call a companion
`typeinf_edge` function, allowing a mid-inference interpreter switch
(like #52964), without being forced through a concrete signature
bottleneck. However, if calling `typeinf_edge` does not work (e.g.
because the compiler version is mismatched), this still has well defined
semantics, you just don't get inference support.

The additional benefit of the `typeinf` optimized generic is that it
lets custom cache owners tell the runtime how to "cure" code instances
that have lost their native code. Currently the runtime only knows how
to do that for `owner == nothing` CodeInstances (by re-running
inference). This extension is not implemented, but the idea is that the
runtime would be permitted to call the `typeinf` optimized generic on
the dead CodeInstance's `owner` and `def` fields to obtain a cured
CodeInstance (or a user-actionable error from the plugin).

This PR includes an implementation of `with_new_compiler` from #56650.
This PR includes just enough compiler support to make the compiler
optimize this to the same code that #56650 produced:

```
julia> @code_typed with_new_compiler(sin, 1.0)
CodeInfo(
1 ─      $(Expr(:foreigncall, :(:jl_get_tls_world_age), UInt64, svec(), 0, :(:ccall)))::UInt64
│   %2 =   builtin Core.getfield(args, 1)::Float64
│   %3 =    invoke sin(%2::Float64)::Float64
└──      return %3
) => Float64
```

However, the implementation here is extremely incomplete. I'm putting it
up only as a directional sketch to see if people prefer it over #56650.
If so, I would prepare a cleaned up version of this PR that has the
optimized generics as well as the curing support, but not the full
inference integration (which needs a fair bit more work).

* Update references to LTS from v1.6 to v1.10 (#56729)

* lowering: Canonicalize to builtins for global assignment (#56713)

This adjusts lowering to emit `setglobal!` for assignment to globals,
thus making the `=` expr head used only for slots in `CodeInfo` and
entirely absent in `IRCode`. The primary reason for this is just to
reduce the number of special cases that compiler passes have to reason
about. In IRCode, `=` was already essentially equivalent to
`setglobal!`, so there's no good reason not to canonicalize.

Finally, the `=` syntax form for globals already gets recognized
specially to insert `convert` calls to their declared binding type, so
this doesn't impose any additional requirements on lowering to
distinguish local from global assignments. In general, I'd also like to
separate syntax and intermediate forms as much as possible where their
semantics differ, which this accomplises by just using the builtin.

This change is mostly semantically invisible, except that spliced-in
GlobalRefs now declare their binding because they are indistinguishable
from ordinary assignments at the stage where I inserted the lowering. If
we want to, we can preserve the difference, but it'd be a bit more
annoying for not much benefit, because:
1. The spliced in version was only recently made to work anyway, and
2. The semantics of when exactly bindings are declared is still messy on
master anyway and will get tweaked shortly in further binding partitions
work.

* Actually show glyphs for latex or emoji shortcodes being suggested in the REPL (#54800)

When a user requests a completion for a backslash shortcode, this PR
adds the glyphs for all the suggestions to the output. This makes it
much easier to find the result one is looking for, especially if the
user doesn't know all latex and emoji specifiers by heart.

Before:

<img width="813" alt="image"
src="https://github.com/JuliaLang/julia/assets/22495855/bf651399-85a6-4677-abdc-c66a104e3b89">

After:

<img width="977" alt="image"
src="https://github.com/JuliaLang/julia/assets/22495855/04c53ea2-318f-4888-96eb-0215b49c10f3">

---------

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* Update annotated.jl docstrings according to #55741 (#56736)

Annotations now use a NamedTuple

* effects: pack bits better (#56737)

There is no reason to preserve duplicates of the bits for the value
before and after inference, and many of the numbers in the comments had
gotten incorrect. Now we are able to pack all 16 bits of currently
defined bitflags into 20 bits, instead of 25 bits (although either case
still rounds up to 32).

There was also no reason for InferenceState to be mutating of CodeInfo
during execution, so remove that mutation.

* 🤖 [master] Bump the Pkg stdlib from 7b759d7f0 to d84a1a38b (#56743)

Stdlib: Pkg
URL: https://github.com/JuliaLang/Pkg.jl.git
Stdlib branch: master
Julia branch: master
Old commit: 7b759d7f0
New commit: d84a1a38b
Julia version: 1.12.0-DEV
Pkg version: 1.12.0
Bump invoked by: @KristofferC
Powered by:
[BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl)

Diff:
https://github.com/JuliaLang/Pkg.jl/compare/7b759d7f0af56c5ad01f2289bbad71284a556970...d84a1a38b6466fa7400e9ad2874a0ef963a10456

```
$ git log --oneline 7b759d7f0..d84a1a38b
d84a1a38b Allow use of a url and subdir in [sources] (#4039)
cd75456a8 Fix heading (#4102)
b61066120 rename FORMER_STDLIBS -> UPGRADABLE_STDLIBS (#4070)
814949ed2 Increase version of `StaticArrays` in `why` tests (#4077)
83e13631e Run CI on backport branch too (#4094)
```

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* Hide IRShow include from Revise (#56756)

Revise in theory wants to re-evaluate this include, but it fails at
doing so, because the include call no longer works after bootstrap. It
happens to work right now on master, because the lowering of
`Compiler.include` happens to hide the include call from Revise, but
that's a Revise bug I'm about to fix. Address this by moving the include
call into the package and using an absolute include if necessary.

* fixup!: JuliaLang/julia#56756 (#56758)

We need to quote it, otherwise it would result in `UnderVarError`.

* Accept more general Integer sizes in reshape (#55521)

This PR generalizes the `reshape` methods to accept `Integer`s instead
of `Int`s, and adds a `_reshape_uncolon` method for `Integer` arguments.
The current `_reshape_uncolon` method that accepts `Int`s is left
unchanged to ensure that the inferred types are not impacted. I've also
tried to ensure that most `Integer` subtypes in `Base` that may be
safely converted to `Int`s pass through that method.

The call sequence would now go like this:
```julia
reshape(A, ::Tuple{Vararg{Union{Integer, Colon}}}) -> reshape(A, ::Tuple{Vararg{Integer}}) -> reshape(A, ::Tuple{Vararg{Int}}) (fallback)
```
This lets packages define `reshape(A::CustomArray, ::Tuple{Integer,
Vararg{Integer}})` without having to implement `_reshape_uncolon` by
themselves (or having to call internal `Base` functions, as in
https://github.com/JuliaArrays/FillArrays.jl/issues/373). `reshape`
calls involving a `Colon` would convert this to an `Integer` in `Base`,
and then pass the `Integer` sizes to the custom method defined in the
package.

This PR does not resolve issues like
https://github.com/JuliaLang/julia/issues/40076 because this still
converts `Integer`s to `Int`s in the actual reshaping step. However,
`BigInt` sizes that may be converted to `Int`s will work now:
```julia
julia> reshape(1:4, big(2), big(2))
2×2 reshape(::UnitRange{Int64}, 2, 2) with eltype Int64:
 1  3
 2  4

julia> reshape(1:4, big(1), :)
1×4 reshape(::UnitRange{Int64}, 1, 4) with eltype Int64:
 1  2  3  4
```

Note that the reshape method with `Integer` sizes explicitly converts
these to `Int`s to avoid self-recursion (as opposed to calling
`to_shape` to carry out the conversion implicitly). In the future, we
may want to decide what to do with types or values that can't be
converted to an `Int`.

---------

Co-authored-by: Neven Sajko <s@purelymail.com>

* drop llvm 16 support (#56751)

Co-authored-by: Valentin Churavy <v.churavy@gmail.com>

* Address some post-commit review from #56660 (#56747)

Some more questions still to be answered, but this should address the
immediate actionable review items.

* Add per-task metrics (#56320)

Close https://github.com/JuliaLang/julia/issues/47351 (builds on top of
https://github.com/JuliaLang/julia/pull/48416)

Adds two per-task metrics:
- running time = amount of time the task was actually running (according
to our scheduler). Note: currently inclusive of GC time, but would be
good to be able to separate that out (in a future PR)
- wall time = amount of time between the scheduler becoming aware of
this task and the task entering a terminal state (i.e. done or failed).

We record running time in `wait()`, where the scheduler stops running
the task as well as in `yield(t)`, `yieldto(t)` and `throwto(t)`, which
bypass the scheduler. Other places where a task stops running (for
`Channel`, `ReentrantLock`, `Event`, `Timer` and `Semaphore` are all
implemented in terms of `wait(Condition)`, which in turn calls `wait()`.
`LibuvStream` similarly calls `wait()`.

This should capture everything (albeit, slightly over-counting task CPU
time by including any enqueuing work done before we hit `wait()`).

The various metrics counters could be a separate inlined struct if we
think that's a useful abstraction, but for now i've just put them
directly in `jl_task_t`. They are all atomic, except the
`metrics_enabled` flag itself (which we now have to check on task
start/switch/done even if metrics are not enabled) which is set on task
construction and marked `const` on the julia side.

In future PRs we could add more per-task metrics, e.g. compilation time,
GC time, allocations, potentially a wait-time breakdown (time waiting on
locks, channels, in the scheduler run queue, etc.), potentially the
number of yields.

Perhaps in future there could be ways to enable this on a per-thread and
per-task basis. And potentially in future these same timings could be
used by `@time` (e.g. writing this same timing data to a ScopedValue
like in https://github.com/JuliaLang/julia/pull/55103 but only for tasks
lexically scoped to inside the `@time` block).

Timings are off by default but can be turned on globally via starting
Julia with `--task-metrics=yes` or calling
`Base.Experimental.task_metrics(true)`. Metrics are collected for all
tasks created when metrics are enabled. In other words,
enabling/disabling timings via `Base.Experimental.task_metrics` does not
affect existing `Task`s, only new `Task`s.

The other new APIs are `Base.Experimental.task_running_time_ns(::Task)`
and `Base.Experimental.task_wall_time_ns(::Task)` for retrieving the new
metrics. These are safe to call on any task (including the current task,
or a task running on another thread). All these are in
`Base.Experimental` to give us room to change up the APIs as we add more
metrics in future PRs (without worrying about release timelines).

cc @NHDaly @kpamnany @d-netto

---------

Co-authored-by: Pete Vilter <pete.vilter@gmail.com>
Co-authored-by: K Pamnany <kpamnany@users.noreply.github.com>
Co-authored-by: Nathan Daly <nathan.daly@relational.ai>
Co-authored-by: Valentin Churavy <vchuravy@users.noreply.github.com>

* Fully outline all GlobalRefs (#56746)

This is an alternative to #56714 that goes in the opposite direction -
just outline all GlobalRefs during lowering. It is a lot simpler that
#56714 at the cost of some size increase. Numbers:

sys.so .ldata size:
This PR: 159.8 MB
Master: 158.9 MB

I don't have numbers of #56714, because it's not fully complete.
Additionally, it's possible that restricting GlobalRefs from arguments
position would let us use a more efficient encoding in the future.

* Add #54800 to NEWS (#56774)

Show glyphs for latex or emoji shortcodes being suggested in the REPL

* Add the actual datatype to the heapsnapshot. This groups objects of the same type together (#56596)

* Fix typos in docstring, comments, and news (#56778)

* Add sort for NTuples (#54494)

This is partially a reland of #46104, but without the controversial `sort(x) = sort!(copymutable(x))` and with some extensibility improvements. Implements #54489.

* precompile: don't waste memory on useless inferred code (#56749)

We never have a reason to reference this data again since we already
have native code generated for it, so it is simply wasting memory and
download space.

$ du -sh {old,new}/usr/share/julia/compiled
256M old
227M new

* various globals cleanups (#56750)

While doing some work on analyzing what code runs at toplevel, I found a
few things to simplify or fix:

- simplify float.jl loop not to call functions just defined to get back
the value just stored there
- add method to the correct checkbounds function (instead of a local)
- missing world push/pop around jl_interpret_toplevel_thunk after #56509
- jl_lineno use maybe missed in #53799
- add some debugging dump for scm_to_julia_ mistakes

* Fix test report alignment (#56789)

* 🤖 [master] Bump the Pkg stdlib from d84a1a38b to e7c37f342 (#56786)

* Bump JuliaSyntax to 0.4.10 (#56110)

* libgit2: update enums from v1.8.0 (#56764)

* fix `exp(weirdNaN)` (#56784)

Fixes https://github.com/JuliaLang/julia/issues/56782
Fix `exp(reinterpret(Float64, 0x7ffbb14880000000))` returning non-NaN
value. This should have minimal performance impact since it's already in
the fallback branch.

* Add note to Vararg/UnionAll warning about making it an error (#56662)

This warning message
```
WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead).
You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`.
```
(last extended in #49558) seems clear enough if you wrote the code. But
if it's coming from 10 packages deep, there's no information to track
down the origin.

Turns out you can do this with `--depwarn=error`. But the message
doesn't tell you that, and doesn't call itself a deprecation warning at
all.

* Add a note clearifying option parsing (#56285)

To help with #56274

* Fix undefined symbol error in version script (#55363)

lld 17 and above by default error if symbols listed in the version
script are undefined. Julia has a few of these, as some symbols are
defined conditionally in Julia (e.g. based on OS), others perhaps have
been removed from Julia and other seem to be defined in other libraries.
Further the version script is used in linking three times, each time
linking together different objects and so having different symbols
defined.

Adding `-Wl,--undefined-version` is not a great solution as passing that
to ld < 2.40 errors and there doesn't seem to be a great way to check if
a linker supports this flag.
I don't know how to get around these errors for symbols like
`_IO_stdin_used` which Julia doesn't define and it seems to matter
whether or not they are exported, see
https://libc-alpha.sourceware.narkive.com/SevIQmU3/io-stdin-used-stripped-by-version-scripts.
So I've converted all undefined symbols into wildcards to work around
the error.

Fixes #50414, fixes #54533 and replaces #55319.

---------

Co-authored-by: Zentrik <Zentrik@users.noreply.github.com>

* Update repr docstring to hint what it stands for. (#56761)

- Change `repr` docstring from "Create a string from any
value ..." to "Create a string representation of any value ...".
- Document that it typically emits parseable Julia code

---------

Co-authored-by: Ian Butterworth <i.r.butterworth@gmail.com>

* Fix generate_precompile statement grouping & avoid defining new func (#56317)

* remove LinearAlgebra specific bitarray tests since they have moved to the external LinearAlgebra.jl repo (#56800)

Moved in https://github.com/JuliaLang/LinearAlgebra.jl/pull/1148.

* Fix partially_inline for unreachable (#56787)

* codegen: reduce recursion in cfunction generation (#56806)

The regular code-path for this was only missing the age_ok handling, so
add in that handling so we can delete the custom path here for the test
and some of the brokenness that implied.

* gc: simplify sweep_weak_refs logic (#56816)

[NFCI]

* gc: improve mallocarrays locality (#56801)

* Fix codegen not handling invoke exprs with Codeinstances  iwith jl_fptr_sparam_addr invoke types. (#56817)

fixes https://github.com/JuliaLang/julia/issues/56739
I didn't succeed in making a test for this. The sole trigger seems to be
```julia
using HMMGradients
T = Float32
A = T[0.0 1.0 0.0; 0.0 0.5 0.5; 1.0 0.0 0.0]
t2tr = Dict{Int,Vector{Int}}[Dict(1 => [2]),]
t2IJ= HMMGradients.t2tr2t2IJ(t2tr)

Nt = length(t2tr)+1
Ns = size(A,1)
y = rand(T,Nt,Ns)

c = rand(Float32, Nt)
beta = backward(Nt,A,c,t2IJ,y)
gamma = posterior(Nt,t2IJ,A,y)
```
in @oscardssmith memorynew PR

One other option is to have the builtin handle receiving a CI. That
might make the code cleaner and does handle the case where we receive a
dynamic CI (is that even a thing)

* 🤖 [master] Bump the SparseArrays stdlib from 1b4933c to 4fd3aad (#56830)

Stdlib: SparseArrays
URL: https://github.com/JuliaSparse/SparseArrays.jl.git
Stdlib branch: main
Julia branch: master
Old commit: 1b4933c
New commit: 4fd3aad
Julia version: 1.12.0-DEV
SparseArrays version: 1.12.0
Bump invoked by: @DilumAluthge
Powered by:
[BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl)

Diff:
https://github.com/JuliaSparse/SparseArrays.jl/compare/1b4933ccc7b1f97427ff88bd7ba58950021f2c60...4fd3aad5735e3b80eefe7b068f3407d7dd0c0924

```
$ git log --oneline 1b4933c..4fd3aad
4fd3aad Generalize `istriu`/`istril` to accept a band index (#590)
780c4de Bump codecov/codecov-action from 4 to 5 (#589)
1beb0e4 Update LICENSE.md (#587)
268d390 QR: handle xtype/dtype returned from LibSuiteSparse that don't match matrix element type (#586)
9731aef get rid of UUID changing stuff (#582)
```

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* Missing tests for IdSet (#56258)

Co-authored-by: CY Han <git@wo-class.cn>

* Fix eltype of flatten of tuple with non-2 length (#56802)

In 4c076c80af, eltype of flatten of tuple was improved by computing a
refined eltype at compile time. However, this implementation only worked
for length-2 tuples, and errored for all others.
Generalize this to all tuples.

Closes #56783

---------

Co-authored-by: Neven Sajko <s@purelymail.com>

* Skip or loosen two `errorshow` tests on 32-bit Windows (#56837)

Ref #55900.

* Adding tests for AbstractArrayMath.jl (#56773)

added tests for lines 7, 137-154 (insertdims function) from
base/abstractarraymath.jl

---------

Co-authored-by: Lilith Orion Hafner <lilithhafner@gmail.com>
Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* 🤖 [master] Bump the Downloads stdlib from 89d3c7d to afd04be (#56826)

Stdlib: Downloads
URL: https://github.com/JuliaLang/Downloads.jl.git
Stdlib branch: master
Julia branch: master
Old commit: 89d3c7d
New commit: afd04be
Julia version: 1.12.0-DEV
Downloads version: 1.6.0(It's okay that it doesn't match)
Bump invoked by: @DilumAluthge
Powered by:
[BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl)

Diff:
https://github.com/JuliaLang/Downloads.jl/compare/89d3c7dded535a77551e763a437a6d31e4d9bf84...afd04be8aa94204c075c8aec83fca040ebb4ff98

```
$ git log --oneline 89d3c7d..afd04be
afd04be Bump codecov/codecov-action from 4 to 5 (#264)
39036e1 CI: Use Dependabot to automatically update external GitHub Actions (#263)
78e7c7c Bump CI actions versions (#252)
```

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* 🤖 [master] Bump the SHA stdlib from aaf2df6 to 8fa221d (#56834)

Stdlib: SHA
URL: https://github.com/JuliaCrypto/SHA.jl.git
Stdlib branch: master
Julia branch: master
Old commit: aaf2df6
New commit: 8fa221d
Julia version: 1.12.0-DEV
SHA version: 0.7.0(Does not match)
Bump invoked by: @inkydragon
Powered by:
[BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl)

Diff:
https://github.com/JuliaCrypto/SHA.jl/compare/aaf2df61ff8c3898196587a375d3cf213bd40b41...8fa221ddc8f3b418d9929084f1644f4c32c9a27e

```
$ git log --oneline aaf2df6..8fa221d
8fa221d ci: update doctest config (#120)
346b359 ci: Update ci config (#115)
aba9014 Fix type mismatch for `shake/digest!` and setup x86 ci (#117)
0b76d04 Merge pull request #114 from JuliaCrypto/dependabot/github_actions/codecov/codecov-action-5
5094d9d Update .github/workflows/CI.yml
45596b1 Bump codecov/codecov-action from 4 to 5
230ab51 test: remove outdate tests (#113)
7f25aa8 rm: Duplicated const alias (#111)
aa72f73 [SHA3] Fix padding special-case (#108)
3a01401 Delete Manifest.toml (#109)
da351bb Remvoe all getproperty funcs (#99)
4eee84f Bump codecov/codecov-action from 3 to 4 (#104)
15f7dbc Bump codecov/codecov-action from 1 to 3 (#102)
860e6b9 Bump actions/checkout from 2 to 4 (#103)
8e5f0ea Add dependabot to auto update github actions (#100)
4ab324c Merge pull request #98 from fork4jl/sha512-t
a658829 SHA-512: add ref to NIST standard
11a4c73 Apply suggestions from code review
969f867 Merge pull request #97 from fingolfin/mh/Vector
b1401fb SHA-512: add NIST test
4d7091b SHA-512: add to docs
09fef9a SHA-512: test SHA-512/224, SHA-512/256
7201b74 SHA-512: impl SHA-512/224, SHA-512/256
4ab85ad Array -> Vector
8ef91b6 fixed bug in padding for shake, addes testcases for full code coverage (#95)
88e1c83 Remove non-existent property (#75)
068f85d shake128,shake256: fixed typo in export declarations (#93)
176baaa SHA3 xof shake128 and shake256  (#92)
e1af7dd Hardcode doc edit backlink
```

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* 🤖 [master] Bump the StyledStrings stdlib from 056e843 to 8985a37 (#56832)

Stdlib: StyledStrings
URL: https://github.com/JuliaLang/StyledStrings.jl.git
Stdlib branch: main
Julia branch: master
Old commit: 056e843
New commit: 8985a37
Julia version: 1.12.0-DEV
StyledStrings version: 1.11.0(Does not match)
Bump invoked by: @DilumAluthge
Powered by:
[BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl)

Diff:
https://github.com/JuliaLang/StyledStrings.jl/compare/056e843b2d428bb9735b03af0cff97e738ac7e14...8985a37ac054c37d084a03ad2837208244824877

```
$ git log --oneline 056e843..8985a37
8985a37 Fix interpolation edge case dropping annotations
729f56c Add typeasserts to `convert(::Type{Face}, ::Dict)`
```

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* xref `UnionAll` in the doc string of `where` (#56411)

* 🤖 [master] Bump the ArgTools stdlib from 997089b to 1314758 (#56839)

Stdlib: ArgTools
URL: https://github.com/JuliaIO/ArgTools.jl.git
Stdlib branch: master
Julia branch: master
Old commit: 997089b
New commit: 1314758
Julia version: 1.12.0-DEV
ArgTools version: 1.1.2(Does not match)
Bump invoked by: @DilumAluthge
Powered by:
[BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl)

Diff:
https://github.com/JuliaIO/ArgTools.jl/compare/997089b9cd56404b40ff766759662e16dc1aab4b...1314758ad02ff5e9e5ca718920c6c633b467a84a

```
$ git log --oneline 997089b..1314758
1314758 build(deps): bump codecov/codecov-action from 4 to 5; also, use CODECOV_TOKEN (#40)
68bb888 Fix typo in `arg_write` docstring (#39)
5d56027 build(deps): bump julia-actions/setup-julia from 1 to 2 (#38)
b6189c7 build(deps): bump codecov/codecov-action from 3 to 4 (#37)
```

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* 🤖 [master] Bump the Statistics stdlib from 68869af to d49c2bf (#56831)

Stdlib: Statistics
URL: https://github.com/JuliaStats/Statistics.jl.git
Stdlib branch: master
Julia branch: master
Old commit: 68869af
New commit: d49c2bf
Julia version: 1.12.0-DEV
Statistics version: 1.11.2(Does not match)
Bump invoked by: @DilumAluthge
Powered by:
[BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl)

Diff:
https://github.com/JuliaStats/Statistics.jl/compare/68869af06e8cdeb7aba1d5259de602da7328057f...d49c2bf4f81e1efb4980a35fe39c815ef8396297

```
$ git log --oneline 68869af..d49c2bf
d49c2bf Merge pull request #178 from JuliaStats/dw/ci
d10d6a3 Update Project.toml
1b67c17 Merge pull request #168 from JuliaStats/andreasnoack-patch-2
c3721ed Add a coverage badge
8086523 Test earliest supported Julia version and prereleases
12a1976 Update codecov in ci.yml
2caf0eb Merge pull request #177 from JuliaStats/ViralBShah-patch-1
33e6e8b Update ci.yml to use julia-actions/cache
a399c19 Merge pull request #176 from JuliaStats/dependabot/github_actions/julia-actions/setup-julia-2
6b8d58a Merge branch 'master' into dependabot/github_actions/julia-actions/setup-julia-2
c2fb201 Merge pull request #175 from JuliaStats/dependabot/github_actions/actions/cache-4
8f808e4 Merge pull request #174 from JuliaStats/dependabot/github_actions/codecov/codecov-action-4
7f82133 Merge pull request #173 from JuliaStats/dependabot/github_actions/actions/checkout-4
046fb6f Update ci.yml
c0fc336 Bump julia-actions/setup-julia from 1 to 2
a95a57a Bump actions/cache from 1 to 4
b675501 Bump codecov/codecov-action from 1 to 4
0088c49 Bump actions/checkout from 2 to 4
ad95c08 Create dependabot.yml
40275e2 Merge pull request #167 from JuliaStats/andreasnoack-patch-1
fa5592a Merge pull request #170 from mbauman/patch-1
cf57562 Add more tests of mean and median of ranges
128dc11 Merge pull request #169 from stevengj/patch-1
48d7a02 docfix: abs2, not ^2
2ac5bec correct std docs: sqrt is elementwise
39f6332 Merge pull request #96 from josemanuel22/mean_may_return_incorrect_results
db3682b Merge branch 'master' into mean_may_return_incorrect_results
9e96507 Update src/Statistics.jl
58e5986 Test prereleases
6e76739 Implement one-argument cov2cor!
b8fee00 Stop testing on nightly
9addbb8 Merge pull request #162 from caleb-allen/patch-1
6e3d223 Merge pull request #164 from aplavin/patch-1
71ebe28 Merge pull request #166 from JuliaStats/dw/cov_cor_optimization
517afa6 add tests
aa0f549 Optimize `cov` and `cor` with identical arguments
cc11ea9 propagate NaN value in median
cf7040f Use non-mobile Wikipedia urls
547bf4d adding docu to mean! explain target should not alias with the source
296650a adding docu to mean! explain target should not alias with the source
```

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* inference: don't allocate `TryCatchFrame` for `compute_trycatch(::IRCode)` (#56835)

`TryCatchFrame` is only required for the abstract interpretation and is
not necessary in `compute_trycatch` within slot2ssa.jl.

@nanosoldier `runbenchmarks("inference", vs=":master")`

* 🤖 [master] Bump the LazyArtifacts stdlib from e9a3633 to a719c0e (#56827)

Stdlib: LazyArtifacts
URL: https://github.com/JuliaPackaging/LazyArtifacts.jl.git
Stdlib branch: main
Julia branch: master
Old commit: e9a3633
New commit: a719c0e
Julia version: 1.12.0-DEV
LazyArtifacts version: 1.11.0(Does not match)
Bump invoked by: @DilumAluthge
Powered by:
[BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl)

Diff:
https://github.com/JuliaPackaging/LazyArtifacts.jl/compare/e9a36338d5d0dfa4b222f4e11b446cbb7ea5836c...a719c0e3d68a95c6f3dc9571459428ca8761fa2c

```
$ git log --oneline e9a3633..a719c0e
a719c0e Add compat for LazyArtifacts
```

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* make `memorynew` intrinsic (#56803)

Attempt to split up https://github.com/JuliaLang/julia/pull/55913 into 2
pieces. This piece now only adds the `memorynew` intrinsic without any
of the optimizations enabled by
https://github.com/JuliaLang/julia/pull/55913. As such, this PR should
be ready to merge now. (and will make
https://github.com/JuliaLang/julia/pull/55913 smaller and simpler)

---------

Co-authored-by: gbaraldi <baraldigabriel@gmail.com>

* fix `compute_trycatch` for `IRCode` /w `EnterNode` with `catch_dest==0` (#56846)

* EA: general cleanup (#56848)

The handling of `Array` in EA was implemented before `Memory` was
introduced and has now become stale. Analysis for `Array` should be
reintroduced after the upcoming overhaul is completed. For now, I will
remove the existing stale code.

* 🤖 [master] Bump the Distributed stdlib from 6c7cdb5 to c613685 (#56825)

Stdlib: Distributed
URL: https://github.com/JuliaLang/Distributed.jl
Stdlib branch: master
Julia branch: master
Old commit: 6c7cdb5
New commit: c613685
Julia version: 1.12.0-DEV
Distributed version: 1.11.0(Does not match)
Bump invoked by: @DilumAluthge
Powered by:
[BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl)

Diff:
https://github.com/JuliaLang/Distributed.jl/compare/6c7cdb5860fa5cb9ca191ce9c52a3d25a9ab3781...c6136853451677f1957bec20ecce13419cde3a12

```
$ git log --oneline 6c7cdb5..c613685
c613685 Merge pull request #116 from JuliaLang/ci-caching
20e2ce7 Use julia-actions/cache in CI
9c5d73a Merge pull request #112 from JuliaLang/dependabot/github_actions/codecov/codecov-action-5
ed12496 Merge pull request #107 from JamesWrigley/remotechannel-empty
010828a Update .github/workflows/ci.yml
11451a8 Bump codecov/codecov-action from 4 to 5
8b5983b Merge branch 'master' into remotechannel-empty
729ba6a Fix docstring of `@everywhere` (#110)
af89e6c Adding better docs to exeflags kwarg (#108)
8537424 Implement Base.isempty(::RemoteChannel)
6a0383b Add a wait(::[Abstract]WorkerPool) (#106)
1cd2677 Bump codecov/codecov-action from 1 to 4 (#96)
cde4078 Bump actions/cache from 1 to 4 (#98)
6c8245a Bump julia-actions/setup-julia from 1 to 2 (#97)
1ffaac8 Bump actions/checkout from 2 to 4 (#99)
8e3f849 Fix RemoteChannel iterator interface (#100)
f4aaf1b Fix markdown errors in README.md (#95)
2017da9 Merge pull request #103 from JuliaLang/sf/sigquit_instead
07389dd Use `SIGQUIT` instead of `SIGTERM`
```

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* inference: handle cases where `:the_exception` is used independently (#56836)

`Expr(:the_exception)` is handled by the interpreter in all cases,
however, inference assumes it is only used within frames containing
`try/catch`. This commit corrects that assumption.

* precompileplkgs: release parallel limiter when waiting for another process (#56844)

* Tests for two AbstractString methods (#56247)

Co-authored-by: Chengyu Han <cyhan.dev@outlook.com>

* Tests for annotated string/char c-tors (#56513)

Co-authored-by: Chengyu Han <cyhan.dev@outlook.com>

* docs: fix example for `sort` and add new doctest (#56843)

* jitlayers: re-delete deregisterEHFrames impl (#56854)

Fixes https://github.com/maleadt/LLVM.jl/issues/496

* docs: fix edge case in rational number conversion `float(a//b)` (#56772)

Fixes #56726 added the changes that were suggested. fixing the mistake.

---------

Co-authored-by: Max Horn <max@quendi.de>
Co-authored-by: Chengyu Han <git@wo-class.cn>

* docs: fix scope type of a `struct` to hard (#56755)

Is struct not a hard scope?

```jl
julia> b = 1
       struct Tester
           tester
           Tester(tester) = new(tester)
           b = 2
           Tester() = new(b)
       end
       b
1
```

* dict docs: document that ordering of keys/values/pairs match iterate (#56842)

Fix #56841.

Currently the documentation states that keys(dict) and values(dict)
iterate in the same order. But it is not stated whether this is the same
order as that used by pairs(dict), or when looping, for (k,v) in dict.

This PR makes this guarantee explicit.

* fix abstract_eval_cfunction mistakes (#56856)

Noticed in code reading, that 35e4a1f9689f4b98f301884e0683e4f07db7514b
simplified this incorrectly resulting in all arguments being assigned to
the function type, and then 7f8635f11cae5f3f592afcc7b55c8e0e23589c3d
further broke the return type expected for the failure case.

Co-authored-by: Shuhei Kadowaki <40514306+aviatesk@users.noreply.github.com>

* inference: use `ssa_def_slot` for `typeassert` refinement (#56859)

Allows type refinement in the following kind of case:
```julia
julia> @test Base.infer_return_type((Vector{Any},)) do args
           codeinst = first(args)
           if codeinst isa Core.MethodInstance
               mi = codeinst
           else
               codeinst::Core.CodeInstance
               mi = codeinst.def
           end
           return mi
       end == Core.MethodInstance
Test Passed
```

* EA: use embedded `CodeInstance` directly for escape cache lookup (#56860)

* Compiler.jl: use `Base.[all|any]` instead of `Compiler`'s own versions (#56851)

The current `Compiler` defines its own versions of `all` and `any`,
which are separate generic functions from `Base.[all|any]`:
https://github.com/JuliaLang/julia/blob/2ed1a411e0a080f3107e75bb65105a15a0533a90/Compiler/src/utilities.jl#L15-L32

On the other hand, at the point where `Base.Compiler` is bootstrapped,
only a subset of `Base.[all|any]` are defined, specifically those
related to `Tuple`:

https://github.com/JuliaLang/julia/blob/2ed1a411e0a080f3107e75bb65105a15a0533a90/base/tuple.jl#L657-L668.
Consequently, in the type inference world, functions like
`Base.all(::Generator)` are unavailable. If `Base.Compiler` attempts to
perform operations such as `::BitSet ⊆ ::BitSet` (which internally uses
`Base.[all|any]`), a world age error occurs (while `Compiler.[all|any]`
can handle these operations, `::BitSet ⊆ ::BitSet` uses
`Base.[all|any]`, leading to this issue)

To resolve this problem, this commit removes the custom `Compiler`
versions of `[all|any]` and switches to using the Base versions.

One concern is that the previous `Compiler` versions of `[all|any]`
utilized `@nospecialize`. That annotation was introduced a long time ago
to prevent over-specialization, but it is questionable whether it is
still effective with the current compiler implementation. The results of
the nanosoldier benchmarks conducted below also seem to confirm that
the `@nospecialize`s are no longer necessary for those functions.

* Extend `Base.rationalize` instead of defining new function (#56793)

#55886 accidentally created a new function
`Base.MathConstants.rationalize` instead of extending
`Base.rationalize`, which is the reason why `Base.rationalize(Int, π)`
isn’t constant-folded in Julia 1.10 and 1.11:

```
julia> @btime rationalize(Int,π);
  1.837 ns (0 allocations: 0 bytes)      # v1.9: constant-folded
  88.416 μs (412 allocations: 15.00 KiB) # v1.10: not constant-folded
```

This PR fixes that. It should probably be backported to 1.10 and 1.11.

* 🤖 [master] Bump the LinearAlgebra stdlib from 56d561c to 1137b4c (#56828)

Stdlib: LinearAlgebra
URL: https://github.com/JuliaLang/LinearAlgebra.jl.git
Stdlib branch: master
Julia branch: master
Old commit: 56d561c
New commit: 1137b4c
Julia version: 1.12.0-DEV
LinearAlgebra version: 1.11.0(Does not match)
Bump invoked by: @DilumAluthge
Powered by:
[BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl)

Diff:
https://github.com/JuliaLang/LinearAlgebra.jl/compare/56d561c22e1ab8e0421160edbdd42f3f194ecfa8...1137b4c7fa8297cef17c4ae0982d7d89d4ab7dd8

```
$ git log --oneline 56d561c..1137b4c
1137b4c Port structured opnorm changes from main julia PR (#1138)
ade3654 port bitarray tests to LinearAlgebra.jl (#1148)
130b94a Fix documentation bug in QR docstring (#1145)
128518e setup coverage (#1144)
15f7e32 ci: add linux-i686 (#1142)
b6f87af Fallback `newindex` method with a `BandIndex` (#1143)
d1e267f bring back [l/r]mul! shortcuts for (kn)own triangular types (#1137)
5cdeb46 don't refer to internal variable names in gemv exceptions (#1141)
4a3dbf8 un-revert "Simplify some views of Adjoint matrices" (#1122)
7b34d81 [CI] Install DependaBot (#1115)
f567112 Port structured opnorm changes from main julia PR Originally written by mcognetta
d406524 implements a `rank(::SVD)` method and adds unit tests. fixes #1126 (#1127)
f13f940 faster implementation of rank(::QRPivoted) fixes #1128 (#1129)
8ab7e09 Merge pull request #1132 from JuliaLang/jishnub/qr_ldiv_R_cache
85919e6 Merge pull request #1108 from JuliaLang/jishnub/tri_muldiv_stride
195e678 Cache and reuse `R` in adjoint `QR` `ldiv!`
cd0da66 Update comments LAPACK -> BLAS
b3ec55f Fix argument name in stride
d3a9a3e Non-contiguous matrices in triangular mul and div
aecb714 Reduce number of test combinations in test/triangular.jl (#1123)
62e45d1 Update .github/dependabot.yml
ff78c38 use an explicit file extension when creating sysimage (#1119)
43b541e try use updated windows compilers in PackageCompiler (#1120)
c00cb77 [CI] Install DependaBot
b285b1c Update LICENSE (#1113)
7efc3ba remove REPL from custom sysimage (#1112)
b7f82ec add a README
```

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* Add ABIOverride type for def field (#56555)

Together with #54899, this PR is intending to replicate the
functionality of #54373, which allowed particular specializations to
have a different ABI signature than what would be suggested by the
MethodInstance's `specTypes` field. This PR handles that by adding a
special `ABIOverwrite` type, which, when placed in the `owner` field of
a `CodeInstance` instructs the system to use the given signature
instead.

* EAUtils: perform `code_escapes` with a global cache by default (#56868)

In JuliaLang/julia#56860, `EAUtils.EscapeAnalyzer` was updated to create
a new cache for each invocation of `code_escapes`, similar to how
Cthulhu.jl behaves. However, `code_escapes` is often used for
performance analysis like `@benchmark code_escapes(...)`, and in such
cases, a large number of `CodeInstance`s can be generated for each
invocation. This could potentially impact native code execution.

So this commit changes the default behavior so that `code_escapes` uses
the same pre-existing cache by default. We can still opt-in to perform a
fresh analysis by specifying
`cache_token=EAUtils.EscapeAnalyzerCacheToken()`.

* Small ABIOverride follow up and add basic test (#56877)

Just a basic `invoke` test for now. There's various other code paths
that should also be tested with ABI overwrites, but this gives us the
basic framework and more tests can be added as needed.

* Package docstring: more peaceful README introduction (#56798)

Hello! 👋

#39093 is great! This PR styles the banner ("Displaying contents of
readme found at ...") differently:

Before:

```
help?> DifferentialEquations
search: DifferentialEquations

  No docstring found for module DifferentialEquations.

  Exported names
  ≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡

  @derivatives, @ode_def, @ode_def_all, @ode_def_bare, 
  ... (manually truncated)

  Displaying contents of readme found at /Users/ian/.julia/packages/DifferentialEquations/HSWeG/README.md
  ≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡

  DifferentialEquations.jl
  ≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡

  (Image: Join the chat at https://gitter.im/JuliaDiffEq/Lobby) (https://gitter.im/JuliaDiffEq/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) (Image:
  Build Status) (https://github.com/SciML/DifferentialEquations.jl/actions?query=workflow%3ACI) (Image: Stable) (http://diffeq.sciml.ai/stable/) (Image: Dev) (http://diffeq.sciml.ai/dev/)
  (Image: DOI) (https://zenodo.org/badge/latestdoi/58516043)

  This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia
  implementations of solvers for various differential equations. Equations within the realm of this package include:

    •  Discrete equations (function maps, discrete stochastic (Gillespie/Markov) simulations)

    •  Ordinary differential equations (ODEs)
```

After:

```
help?> DifferentialEquations
search: DifferentialEquations

  No docstring found for module DifferentialEquations.

  Exported names
  ≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡

  @derivatives, @ode_def, @ode_def_all, @ode_def_bare, 
  ... (manually truncated)

  ────────────────────────────────────────────────────────────────────────────

  Package description from README.md:

  DifferentialEquations.jl
  ≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡≡

  (Image: Join the chat at https://gitter.im/JuliaDiffEq/Lobby) (https://gitter.im/JuliaDiffEq/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) (Image:
  Build Status) (https://github.com/SciML/DifferentialEquations.jl/actions?query=workflow%3ACI) (Image: Stable) (http://diffeq.sciml.ai/stable/) (Image: Dev) (http://diffeq.sciml.ai/dev/)
  (Image: DOI) (https://zenodo.org/badge/latestdoi/58516043)

  This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia
  implementations of solvers for various differential equations. Equations within the realm of this package include:

    •  Discrete equations (function maps, discrete stochastic (Gillespie/Markov) simulations)

    •  Ordinary differential equations (ODEs)
```



I think this makes it a bit less technical (the word "Displaying" and
the long filename), and it improves the reading flow.

* Support indexing `Broadcasted` objects using `Integer`s (#56470)

This adds support for `IndexLinear` `eachindex`, as well as
bounds-checking and `getindex` for a `Broadcasted` with an `Integer`
index.

Instead of using the number of dimensions in `eachindex` to determine
whether to use `CartesianIndices`, we may use the `IndexStyle`. This
should not change anything currently, but this adds the possibility of
`nD` broadcasting using linear indexing if the `IndexStyle` of the
`Broadcasted` object is `IndexLinear`.

After this,
```julia
julia> bc = Broadcast.broadcasted(+, reshape(1:4, 2, 2), 1:2)
Base.Broadcast.Broadcasted(+, ([1 3; 2 4], 1:2))

julia> eachindex(bc)
CartesianIndices((2, 2))

julia> eachindex(IndexLinear(), bc)
Base.OneTo(4)

julia> [bc[I] for I in eachindex(IndexLinear(), bc)]
4-element Vector{Int64}:
 2
 4
 4
 6

julia> vec(collect(bc))
4-element Vector{Int64}:
 2
 4
 4
 6
```

This PR doesn't add true linear indexing support for `IndexCartesian`
`Broadcasted` objects. In such cases, an `Integer` index is converted to
a `CartesianIndex` before it is used in indexing.

* Limit the scope of `@inbounds` in `searchsorted*` (#56882)

This removes bounds-checking only in the indexing operation, instead of
for the entire block.

* Remove trailing comma in 0-dim `reshape` summary (#56853)

Currently, there is an extra comma in displaying the summary for a 0-dim
`ReshapedArray`:
```julia
julia> reshape(1:1)
0-dimensional reshape(::UnitRange{Int64}, ) with eltype Int64:
1
```
This PR only prints the comma if `dims` isn't empty, so that we now
obtain
```julia
julia> reshape(1:1)
0-dimensional reshape(::UnitRange{Int64}) with eltype Int64:
1
```

* Switch debug registry mapping to `CodeInstance` (#56878)

Currently our debugging code maps from pointers to `MethodInstance`.
However, I think it makes more sense to map to `CodeInstance` instead,
since that's what we're actually compiling and as we're starting to make
more use of external owners and custom specializations, we'll want to be
able to annotate that in backtraces. This only adjusts the internal data
structures - any actual printing changes for those sorts of use cases
will have to come separately.

* binaryplatforms.jl: Remove duplicated riscv64 entry (#56888)

* Minor documentation updates (#56883)

- Array/Vector/Matrix output showing
- Syntax highlighting for fenced code block examples

---------

Co-authored-by: Chengyu Han <cyhan.dev@outlook.com>
Co-authored-by: Lilith Orion Hafner <lilithhafner@gmail.com>

* Remove `similar` specialization with `Integer`s (#56881)

This method seems unnecessary, as the method on line 830 does the same
thing. Having this method in `Base` requires packages to disambiguate
against this by adding redundant methods.

* simplify  and slightly improve memorynew inference (#56857)

while investigating some missed optimizations in
https://github.com/JuliaLang/julia/pull/56847, @gbaraldi and I realized
that `copy(::Array)` was using `jl_genericmemory_copy_slice` rather than
the `memmove`/`jl_genericmemory_copyto` that `copyto!` lowers to. This
version lets us use the faster LLVM based Memory initialization, and the
memove can theoretically be further optimized by LLVM (e.g. not copying
elements that get over-written without ever being read).

```
julia> @btime copy($[1,2,3])
  15.521 ns (2 allocations: 80 bytes) # before
  12.116 ns (2 allocations: 80 bytes) #after

julia> m = Memory{Int}(undef, 3);
julia> m.=[1,2,3];
julia> @btime copy($m)
  11.013 ns (1 allocation: 48 bytes) #before
  9.042 ns (1 allocation: 48 bytes)   #after
```

We also optimize the `memorynew` type inference to make it so that
getting the length of a memory with known length will propagate that
length information (which is important for cases like `similar`/`copy`
etc).

* Update the OffsetArrays test helper (#56892)

This updates the test helper to match v1.15.0 of `OffsetArrays.jl`. The
current version was copied over from v1.11.2, which was released on May
20, 2022, so this bump fetches the intermediate updates to the package.

The main changes are updates to `unsafe_wrap` and `reshape`. In the
latter, several redundant methods are now removed, whereas, in the
former, methods are added to wrap a `Ptr` in an `OffsetArray`
(https://github.com/JuliaArrays/OffsetArrays.jl/issues/275#issue-1222585268).
A third major change is that an `OffsetArray` now shares its parent's
`eltype` and `ndims` in the struct definition, whereas previously this
was ensured through the constructor. Other miscellaneous changes are
included, such as performance-related ones.

* fix: Base.GMP.MPZ.invert yielding return code instead of return value (#56894)

There is a bug in `Base.GMP.MPZ.invert` it returned GMP return code,
instead of the actual value. This commit fixes it.

Before:
```
julia> Base.GMP.MPZ.invert(big"3", big"7")
1
```

After:
```
julia> Base.GMP.MPZ.invert(big"3", big"7")
5
```

* fix precompilation error printing if `CI` is set (#56905)

Co-authored-by: Ian Butterworth <i.r.butterworth@gmail.com>

* Add #53664, public&export error to news (#56911)

Suggested by @simeonschaub
[here](https://github.com/JuliaLang/julia/pull/53664#issuecomment-2562408676)

* restrict `optimize_until` argument type correctly (#56912)

The object types that `optimize_until` can accept are restricted by
`matchpass`, so this restriction should also be reflected in functions
like `typeinf_ircode` too.

* doc: manual: give the Performance Tips a table of contents (#56917)

The page is quite long, and now it also has a more intricate structure
than before, IMO it deserves a TOC.

* ReentrantLock: wakeup a single task on unlock and add a short spin (#56814)

I propose a change in the implementation of the `ReentrantLock` to
improve its overall throughput for short critical sections and fix the
quadratic wake-up behavior where each unlock schedules **all** waiting
tasks on the lock's wait queue.

This implementation follows the same principles of the `Mutex` in the
[parking_lot](https://github.com/Amanieu/parking_lot/tree/master) Rust
crate which is based on the Webkit
[WTF::ParkingLot](https://webkit.org/blog/6161/locking-in-webkit/)
class. Only the basic working principle is implemented here, further
improvements such as eventual fairness will be proposed separately.

The gist of the change is that we add one extra state to the lock,
essentially going from:
```
0x0 => The lock is not locked
0x1 => The lock is locked by exactly one task. No other task is waiting for it.
0x2 => The lock is locked and some other task tried to lock but failed (conflict)
```
To:
```
# PARKED_BIT | LOCKED_BIT | Description
#     0      |     0      | The lock is not locked, nor is anyone waiting for it.
# -----------+------------+------------------------------------------------------------------
#     0      |     1      | The lock is locked by exactly one task. No other task is
#            |            | waiting for it.
# -----------+------------+------------------------------------------------------------------
#     1      |     0      | The lock is not locked. One or more tasks are parked.
# -----------+------------+------------------------------------------------------------------
#     1      |     1      | The lock is locked by exactly one task. One or more tasks are
#            |            | parked waiting for the lock to become available.
#            |            | In this state, PARKED_BIT is only ever cleared when the cond_wait lock
#            |            | is held (i.e. on unlock). This ensures that
#            |            | we never end up in a situation where there are parked tasks but
#            |            | PARKED_BIT is not set (which would result in those tasks
#            |            | potentially never getting woken up).
```

In the current implementation we must schedule all tasks to cause a
conflict (state 0x2) because on unlock we only notify any task if the
lock is in the conflict state. This behavior means that with high
contention and a short critical section the tasks will be effectively
spinning in the scheduler queue.

With the extra state the proposed implementation has enough information
to know if there are other tasks to be notified or not, which means we
can always notify one task at a time while preserving the optimized path
of not notifying if there are no tasks waiting. To improve throughput
for short critical sections we also introduce a bounded amount of
spinning before attempting to park.

### Results

Not spinning on the scheduler queue greatly reduces the CPU utilization
of the following example:

```julia
function example()
    lock = ReentrantLock()
    @sync begin
        for i in 1:10000
            Threads.@spawn begin
                @lock lock begin
                    sleep(0.001)
                end
            end
        end
    end
end


@time example()
```

Current:
```
28.890623 seconds (101.65 k allocations: 7.646 MiB, 0.25% compilation time)
```

![image](https://github.com/user-attachments/assets/dbd6ce57-c760-4f5a-b68a-27df6a97a46e)

Proposed:
```
22.806669 seconds (101.65 k allocations: 7.814 MiB, 0.35% compilation time)
```

![image](https://github.com/user-attachments/assets/b0254180-658d-4493-86d3-dea4c500b5ac)

In a micro-benchmark where 8 threads contend for a single lock with a
very short critical section we see a ~2x improvement.

Current:
```
8-element Vector{Int64}:
 6258688
 5373952
 6651904
 6389760
 6586368
 3899392
 5177344
 5505024
Total iterations: 45842432
```

Proposed:
```
8-element Vector{Int64}:
 12320768
 12976128
 10354688
 12845056
  7503872
 13598720
 13860864
 11993088
Total iterations: 95453184
```

~~In the uncontended scenario the extra bookkeeping causes a 10%
throughput reduction:~~
EDIT: I reverted _trylock to the simple case to recover the uncontended
throughput and now both implementations are on the same ballpark
(without hurting the above numbers).

In the uncontended scenario:

Current:
```
Total iterations: 236748800
```

Proposed:
```
Total iterations: 237699072
```

Closes #56182

* 🤖 [master] Bump the Pkg stdlib from e7c37f342 to c7e611bc8 (#56918)

* Don't report only-inferred methods as recompiles (#56914)

* precompilepkgs: respect loaded dependencies when precompiling for load (#56901)

* Add julia-repl in destructuring docs (#56866)

* doc: manual: Command-line Interface: tiny Markdown code formatting fix (#56919)

* Make threadpoolsize(), threadpooltids(), and ngcthreads() public (#55701)

* [Test] Print RNG of a failed testset and add option to set it (#56260)

Also, add a keyword option to `@testset` to let users override the seed
used there, to make testsets more replicable.

To give you a taster of what this PR
enables:
```
julia> using Random, Test

julia> @testset begin
           @test rand() == 0
       end;
test set: Test Failed at REPL[2]:2
  Expression: rand() == 0
   Evaluated: 0.559472630416976 == 0

Stacktrace:
 [1] top-level scope
   @ REPL[2]:2
 [2] macro expansion
   @ ~/repo/julia/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:1713 [inlined]
 [3] macro expansion
   @ REPL[2]:2 [inlined]
 [4] macro expansion
   @ ~/repo/julia/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined]
Test Summary: | Fail  Total  Time
test set      |    1      1  0.9s
ERROR: Some tests did not pass: 0 passed, 1 failed, 0 errored, 0 broken.
Random seed for this testset: Xoshiro(0x2e026445595ed28e, 0x07bb81ac4c54926d, 0x83d7d70843e8bad6, 0xdbef927d150af80b, 0xdbf91ddf2534f850)

julia> @testset rng=Xoshiro(0x2e026445595ed28e, 0x07bb81ac4c54926d, 0x83d7d70843e8bad6, 0xdbef927d150af80b, 0xdbf91ddf2534f850) begin
           @test rand() == 0.559472630416976
       end;
Test Summary: | Pass  Total  Time
test set      |    1      1  0.0s
```
This also works with nested testsets, and testsets on for loops:
```
julia> @testset rng=Xoshiro(0xc380f460355639ee, 0xb39bc754b7d63bbf, 0x1551dbcfb5ed5668, 0x71ab5a18fec21a25, 0x649d0c1be1ca5436) "Outer" begin
           @test rand() == 0.0004120194925605336
           @testset rng=Xoshiro(0xee97f5b53f7cdc49, 0x480ac387b0527d3d, 0x614b416502a9e0f5, 0x5250cb36e4a4ceb1, 0xed6615c59e475fa0) "Inner: $(i)" for i in 1:10
               @test rand() == 0.39321938407066637
           end
       end;
Test Summary: | Pass  Total  Time
Outer         |   11     11  0.0s
```

Being able to see what was the seed inside a testset and being able to
set it afterwards should make replicating test failures which only
depend on the state of the RNG much easier to debug.

* 🤖 [master] Bump the Pkg stdlib from c7e611bc8 to 739a64a0b (#56927)

* 🤖 [master] Bump the Pkg stdlib from 739a64a0b to 8d3cf02e5 (#56930)

* doc: summary of output functions: cross-ref println and printstyled (#55860)

Slight tweak to #54547 to add cross-referenes to `println` and
`printstyled`.

Co-authored-by: Dilum Aluthge <dilum@aluthge.com>

* Make `Markdown.parse` public and add a docstring (#56818)

* precompilepkgs: color the "is currently loaded" text to make meaning clearer (#56926)

* Remove unused variable from `endswith` (#56934)

This is a trivial code cleanup suggestion. The `cub` variable was unused
in `endswith(::Union{String, SubString{String}}, ::Union{String,
SubString{String}})`.

I ran the tests with `make test`, there were some failures but they did
not appear to be related to the change.

* deps: support Unicode 16 via utf8proc 2.10.0 (#56925)

Similar to #51799, support [Unicode
16](https://www.unicode.org/versions/Unicode16.0.0/) by bumping utf8proc
to 2.10.0 (thanks to https://github.com/JuliaStrings/utf8proc/pull/277
by @eschnett).

This allows us to use [7 exciting new emoji
characters](https://www.unicode.org/emoji/charts-16.0/emoji-released.html)
as identifiers, including "face with bags under eyes"

![image](https://github.com/user-attachments/assets/4959b7ca-100e-4efc-af58-b03184ae2dca)
`"\U1fae9"` (but still no superscript "q").

Closes #56035.

* teach jitlayers to use equivalent edges

Sometimes an edge (especially from precompile file, but sometimes from
inference) will specify a CodeInstance that does not need to be compiled
for its ABI and simply needs to be cloned to point to the existing copy
of it.

* opaque_closure: fix data-race mistakes with reading fields by using standard helper function

* opaque_closure: fix world-age mistake in fallback path

This was failing the h_world_age test sometimes.

* inference,codegen: connect source directly to jit

This avoids unnecessary compression when running (not generating code).
While generating code, we continue the legacy behavior of storing
compressed code, since restarting from a ji without that is quite slow.
Eventually, we should also remove that code also once we have generated
the object file from it.

This replaces the defective SOURCE_MODE_FORCE_SOURCE option with a new
`typeinf_ext_toplevel` batch-mode interface for compilation which
returns all required source code. Only two options remain now:
SOURCE_MODE_NOT_REQUIRED :
    Require only that the IPO information (e.g. rettype and friends) is
    present.
SOURCE_MODE_FORCE_ABI :
    Require that the IPO information is present (for ABI computation)
    and that the returned CodeInstance can be invoked on the host target
    (preferably after inference, called directly, but perfectly
    acceptable for Base.Compiler to instead force the runtime to use a
    stub there or call into it with the interpreter instead by having
    failed to provide any code).

This replaces the awkward `jl_create_native` interface (which is now
just a shim for calling the new batch-mode `typeinf_ext_toplevel`) with
a simpler `jl_emit_native` API, which does not do any inference or other
callbacks, but simply is a batch-mode call to `jl_emit_codeinfo` and
the work to build the external wrapper around them for linkage.

* delete unused code, so the jit no longer uses the inferred field at all

* Make sure we don't promise alignments that are larger than the heap alignment to LLVM (#56938)

Fixes https://github.com/JuliaLang/julia/issues/56937

---------

Co-authored-by: Oscar Smith <oscardssmith@gmail.com>

* 🤖 [master] Bump the NetworkOptions stdlib from 8eec5cb to c090626 (#56949)

Stdlib: NetworkOptions
URL: https://github.com/JuliaLang/NetworkOptions.jl.git
Stdlib branch: master
Julia branch: master
Old commit: 8eec5cb
New commit: c090626
Julia version: 1.12.0-DEV
NetworkOptions version: 1.3.0(Does not match)
Bump invoked by: @giordano
Powered by:
[BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl)

Diff:
https://github.com/JuliaLang/NetworkOptions.jl/compare/8eec5cb0acec4591e6db3c017f7499426cd8e352...c090626d3feee6d6a5c476346d22d6147c9c6d2d

```
$ git log --oneline 8eec5cb..c090626
c090626 Enable OpenSSL certificates (#36)
```

* [build] Fix value of `CMAKE_C{,XX}_ARG` when `CC_ARG` doesn't have args (#56920)

The problem was that `cut` by default prints the entire line if the
delimiter doesn't appear, unless the option `-s` is used, which means
that if `CC_ARG` contains only `gcc` then `CMAKE_CC_ARG` also contains
`gcc` instead of being empty.

Before the PR:
```console
$ make -C deps/ print-CC_ARG print-CMAKE_CC_ARG print-CMAKE_COMMON USECCACHE=1
make: Entering directory '/home/mose/repo/julia/deps'
CC_ARG=gcc
CMAKE_CC_ARG=gcc
CMAKE_COMMON=-DCMAKE_INSTALL_PREFIX:PATH=/home/mose/repo/julia/usr -DCMAKE_PREFIX_PATH=/home/mose/repo/julia/usr -DLIB_INSTALL_DIR=/home/mose/repo/julia/usr/lib -DCMAKE_INSTALL_LIBDIR=/home/mose/repo/julia/usr/lib -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache -DCMAKE_C_COMPILER="$(which gcc)" -DCMAKE_C_COMPILER_ARG1="gcc " -DCMAKE_CXX_COMPILER="$(which g++)" -DCMAKE_CXX_COMPILER_ARG1="g++ " -DCMAKE_LINKER="$(which ld)" -DCMAKE_AR="$(which ar)" -DCMAKE_RANLIB="$(which ranlib)"
make: Leaving directory '/home/mose/repo/julia/deps'
```
After the PR
```console
$ make -C deps/ print-CC_ARG print-CMAKE_CC_ARG print-CMAKE_COMMON USECCACHE=1
make: Entering directory '/…
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