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Backports release 1.10.5 #54851
Backports release 1.10.5 #54851
Commits on Jun 19, 2024
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Allow libquadmath to also fail as it is not available on all systems (#…
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Fix trampoline assembly for build on clang 18 on apple silicon (#54634)
This avoids a: `error: non-private labels cannot appear between .cfi_startproc / .cfi_endproc pairs` error. That error was introduced in https://reviews.llvm.org/D155245#4657075 see also llvm/llvm-project#72802 (cherry picked from commit a4e793e)
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Aggressive constprop in trevc! to stabilize triangular eigvec (#54635)
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ensure we set the right value to gc_first_tid (#54645)
This may introduce a correctness issue in the work-stealing termination loop if we're using interactive threads and GC threads simultaneously. Indeed, if we forget to add `nthreadsi` to `nthreads`, then we're checking in the mark-loop termination protocol a range `[gc_first_tid, gc_first_tid + jl_n_markthreads)` of threads which is "shifted to the left" compared to what it should be. This implies that we will not be checking whether the GC threads with higher TID actually have terminated the mark-loop. (cherry picked from commit c52eee2)
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Add boundscheck in bindingkey_eq to avoid OOB access due to data race (…
…#54671) The race here is that svec might be replaced and a new binding introduced into the keyset while we hold a reference to the old svec, which led to a OOB access on the svec with the index a binding introduced at the same time. This now introduces a bounds check which will force taking the lock if we fail the lookup i.e we had a data race. Fixes #54285 --------- Co-authored-by: Jameson Nash <vtjnash@gmail.com> (cherry picked from commit 20f03dd)
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make: Fix
sed
command for LLVM libraries with no symbol versioning (#…Configuration menu - View commit details
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LazyString in reinterpretarray error messages (#54704)
This should remove the dynamic dispatch flagged by JET, e.g. in ```julia julia> using JET julia> @report_opt reinterpret(Float64, [1.0im;;]) [ Info: tracking Base ┌ Warning: skipping (::Base.var"#thrownonint#375")(S::Type, T::Type, dim) @ Base reinterpretarray.jl:68 to avoid parsing too much code └ @ Revise ~/.julia/packages/Revise/bAgL0/src/packagedef.jl:1092 ┌ Warning: skipping (::Base.var"#show_bound#661")(io::IO, b) @ Base show.jl:2777 to avoid parsing too much code └ @ Revise ~/.julia/packages/Revise/bAgL0/src/packagedef.jl:1092 ┌ Warning: skipping (::Base.var"#show_bound#661")(io::IO, b) @ Base show.jl:2777 to avoid parsing too much code └ @ Revise ~/.julia/packages/Revise/bAgL0/src/packagedef.jl:1092 ═════ 32 possible errors found ═════ ┌ reinterpret(::Type{Float64}, a::Matrix{ComplexF64}) @ Base ./reinterpretarray.jl:88 │┌ (::Base.var"#thrownonint#375")(S::Type{ComplexF64}, T::Type{Float64}, dim::Int64) @ Base ./reinterpretarray.jl:70 ││┌ string(::String, ::Type{ComplexF64}, ::String, ::Type{Float64}, ::String, ::Int64, ::String) @ Base ./strings/io.jl:189 │││┌ print_to_string(::String, ::Type{ComplexF64}, ::String, ::Type{Float64}, ::String, ::Int64, ::String) @ Base ./strings/io.jl:148 ││││┌ print(io::IOBuffer, x::DataType) @ Base ./strings/io.jl:35 │││││┌ show(io::IOBuffer, x::DataType) @ Base ./show.jl:970 ││││││┌ _show_type(io::IOBuffer, x::Type) @ Base ./show.jl:975 │││││││┌ show_typealias(io::IOBuffer, x::Type) @ Base ./show.jl:810 ││││││││┌ make_typealias(x::Type) @ Base ./show.jl:620 │││││││││┌ modulesof!(s::Set{Module}, x::Type) @ Base ./show.jl:595 ││││││││││ runtime dispatch detected: Base.modulesof!(s::Set{Module}, %20::Any)::Any │││││││││└──────────────────── │││││││││┌ modulesof!(s::Set{Module}, x::Type) @ Base ./show.jl:596 ││││││││││ runtime dispatch detected: Base.modulesof!(s::Set{Module}, %34::Any)::Any │││││││││└──────────────────── │││││││││┌ modulesof!(s::Set{Module}, x::TypeVar) @ Base ./show.jl:589 ││││││││││ runtime dispatch detected: Base.modulesof!(s::Set{Module}, %1::Any)::Set{Module} │││││││││└──────────────────── │││││││┌ show_typealias(io::IOBuffer, x::Type) @ Base ./show.jl:813 ││││││││┌ show_typealias(io::IOBuffer, name::GlobalRef, x::Type, env::Core.SimpleVector, wheres::Vector{TypeVar}) @ Base ./show.jl:760 │││││││││┌ show_typeparams(io::IOContext{IOBuffer}, env::Core.SimpleVector, orig::Core.SimpleVector, wheres::Vector{TypeVar}) @ Base ./show.jl:724 ││││││││││┌ show(io::IOContext{IOBuffer}, tv::TypeVar) @ Base ./show.jl:2788 │││││││││││┌ (::Base.var"#show_bound#661")(io::IOContext{IOBuffer}, b::Any) @ Base ./show.jl:2780 ││││││││││││ runtime dispatch detected: show(io::IOContext{IOBuffer}, b::Any)::Any │││││││││││└──────────────────── │││││││││┌ show_typeparams(io::IOContext{IOBuffer}, env::Core.SimpleVector, orig::Core.SimpleVector, wheres::Vector{TypeVar}) @ Base ./show.jl:719 ││││││││││ runtime dispatch detected: show(io::IOContext{IOBuffer}, %252::Any)::Any │││││││││└──────────────────── │││││││││┌ show_typeparams(io::IOContext{IOBuffer}, env::Core.SimpleVector, orig::Core.SimpleVector, wheres::Vector{TypeVar}) @ Base ./show.jl:722 ││││││││││ runtime dispatch detected: show(io::IOContext{IOBuffer}, %313::Any)::Any │││││││││└──────────────────── │││││││││┌ show_typeparams(io::IOContext{IOBuffer}, env::Core.SimpleVector, orig::Core.SimpleVector, wheres::Vector{TypeVar}) @ Base ./show.jl:727 ││││││││││ runtime dispatch detected: show(io::IOContext{IOBuffer}, %191::Any)::Any │││││││││└──────────────────── ││││││┌ _show_type(io::IOBuffer, x::Type) @ Base ./show.jl:978 │││││││┌ show_datatype(io::IOBuffer, x::DataType) @ Base ./show.jl:1094 ││││││││┌ show_datatype(io::IOBuffer, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1097 │││││││││┌ maybe_kws_nt(x::DataType) @ Base ./show.jl:1085 ││││││││││ runtime dispatch detected: eltype(%76::DataType)::Any │││││││││└──────────────────── ││││││││┌ show_datatype(io::IOBuffer, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1186 │││││││││┌ show_typeparams(io::IOBuffer, env::Core.SimpleVector, orig::Core.SimpleVector, wheres::Vector{TypeVar}) @ Base ./show.jl:724 ││││││││││┌ show(io::IOBuffer, tv::TypeVar) @ Base ./show.jl:2788 │││││││││││┌ (::Base.var"#show_bound#661")(io::IOBuffer, b::Any) @ Base ./show.jl:2780 ││││││││││││ runtime dispatch detected: show(io::IOBuffer, b::Any)::Any │││││││││││└──────────────────── │││││││││┌ show_typeparams(io::IOBuffer, env::Core.SimpleVector, orig::Core.SimpleVector, wheres::Vector{TypeVar}) @ Base ./show.jl:719 ││││││││││ runtime dispatch detected: show(io::IOBuffer, %250::Any)::Any │││││││││└──────────────────── │││││││││┌ show_typeparams(io::IOBuffer, env::Core.SimpleVector, orig::Core.SimpleVector, wheres::Vector{TypeVar}) @ Base ./show.jl:722 ││││││││││ runtime dispatch detected: show(io::IOBuffer, %310::Any)::Any │││││││││└──────────────────── │││││││││┌ show_typeparams(io::IOBuffer, env::Core.SimpleVector, orig::Core.SimpleVector, wheres::Vector{TypeVar}) @ Base ./show.jl:727 ││││││││││ runtime dispatch detected: show(io::IOBuffer, %190::Any)::Any │││││││││└──────────────────── ││││││││┌ show_datatype(io::IOBuffer, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1157 │││││││││ runtime dispatch detected: show(io::IOBuffer, %224::Any)::Any ││││││││└──────────────────── ││││││││┌ show_datatype(io::IOBuffer, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1162 │││││││││ runtime dispatch detected: show(io::IOBuffer, %54::Any)::Any ││││││││└──────────────────── ││││││││┌ show_datatype(io::IOBuffer, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1148 │││││││││ runtime dispatch detected: show(io::IOBuffer, %57::Any)::Any ││││││││└──────────────────── ││││││││┌ show_datatype(io::IOBuffer, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1150 │││││││││ runtime dispatch detected: show(io::IOBuffer, %54::Any)::Any ││││││││└──────────────────── ││││││││┌ show_datatype(io::IOBuffer, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1172 │││││││││ runtime dispatch detected: Base.show_at_namedtuple(io::IOBuffer, %329::Tuple, %328::DataType)::Any ││││││││└──────────────────── ││││││┌ _show_type(io::IOBuffer, x::Type) @ Base ./show.jl:981 │││││││┌ show_unionaliases(io::IOBuffer, x::Union) @ Base ./show.jl:901 ││││││││┌ make_typealiases(x::Union) @ Base ./show.jl:822 │││││││││┌ modulesof!(s::Set{Module}, x::Union) @ Base ./show.jl:595 ││││││││││ runtime dispatch detected: Base.modulesof!(s::Set{Module}, %3::Any)::Any │││││││││└──────────────────── │││││││││┌ modulesof!(s::Set{Module}, x::Union) @ Base ./show.jl:596 ││││││││││ runtime dispatch detected: Base.modulesof!(s::Set{Module}, %17::Any)::Any │││││││││└──────────────────── │││││││┌ show_unionaliases(io::IOBuffer, x::Union) @ Base ./show.jl:914 ││││││││ runtime dispatch detected: show(io::IOBuffer, %89::Any)::Any │││││││└──────────────────── │││││││┌ show_unionaliases(io::IOBuffer, x::Union) @ Base ./show.jl:920 ││││││││ runtime dispatch detected: Base.show_typealias(io::IOBuffer, %206::Any, x::Union, %204::Core.SimpleVector, %205::Vector{TypeVar})::Any │││││││└──────────────────── │││││││┌ show_unionaliases(io::IOBuffer, x::Union) @ Base ./show.jl:928 ││││││││ runtime dispatch detected: Base.show_typealias(io::IOBuffer, %269::Any, x::Union, %267::Core.SimpleVector, %268::Vector{TypeVar})::Any │││││││└──────────────────── ││││││┌ _show_type(io::IOBuffer, x::Type) @ Base ./show.jl:985 │││││││┌ show_delim_array(io::IOBuffer, itr::Vector{Any}, op::Char, delim::Char, cl::Char, delim_one::Bool) @ Base ./show.jl:1392 ││││││││┌ show_delim_array(io::IOBuffer, itr::Vector{Any}, op::Char, delim::Char, cl::Char, delim_one::Bool, i1::Int64, l::Int64) @ Base ./show.jl:1403 │││││││││ runtime dispatch detected: show(%3::IOContext{IOBuffer}, %52::Any)::Any ││││││││└──────────────────── ││││││┌ _show_type(io::IOBuffer, x::Type) @ Base ./show.jl:1012 │││││││┌ show_datatype(io::IOContext{IOBuffer}, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1185 ││││││││┌ show_type_name(io::IOContext{IOBuffer}, tn::Core.TypeName) @ Base ./show.jl:1059 │││││││││ runtime dispatch detected: Base.isvisible(%29::Symbol, %86::Module, %80::Any)::Bool ││││││││└──────────────────── │││││││┌ show_datatype(io::IOContext{IOBuffer}, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1157 ││││││││ runtime dispatch detected: show(io::IOContext{IOBuffer}, %227::Any)::Any │││││││└──────────────────── │││││││┌ show_datatype(io::IOContext{IOBuffer}, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1162 ││││││││ runtime dispatch detected: show(io::IOContext{IOBuffer}, %55::Any)::Any │││││││└──────────────────── │││││││┌ show_datatype(io::IOContext{IOBuffer}, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1148 ││││││││ runtime dispatch detected: show(io::IOContext{IOBuffer}, %58::Any)::Any │││││││└──────────────────── │││││││┌ show_datatype(io::IOContext{IOBuffer}, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1150 ││││││││ runtime dispatch detected: show(io::IOContext{IOBuffer}, %55::Any)::Any │││││││└──────────────────── │││││││┌ show_datatype(io::IOContext{IOBuffer}, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1172 ││││││││ runtime dispatch detected: Base.show_at_namedtuple(io::IOContext{IOBuffer}, %338::Tuple, %337::DataType)::Any │││││││└──────────────────── │││││││┌ show_datatype(io::IOContext{IOBuffer}, x::DataType, wheres::Vector{TypeVar}) @ Base ./show.jl:1180 ││││││││ runtime dispatch detected: Base.show_at_namedtuple(io::IOContext{IOBuffer}, %387::Tuple, %391::DataType)::Any │││││││└──────────────────── ││││││┌ _show_type(io::IOBuffer, x::Type) @ Base ./show.jl:1014 │││││││ runtime dispatch detected: show(%98::IOContext{IOBuffer}, %99::Any)::Any ││││││└──────────────────── │││││┌ show(io::IOBuffer, x::DataType) @ Base ./show.jl:970 ││││││ runtime dispatch detected: Base._show_type(io::IOBuffer, %1::Any)::Nothing │││││└──────────────────── ``` (cherry picked from commit b54c688)
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make: use
readelf
for LLVM symbol version detection (#54713)Apparently on some distributions `nm --with-symbol-versions` does not report symbol versions, despite the flag. `readelf` should be a more reliable alternative which is also part of binutils. See spack/spack#44534 (comment) for more information (cherry picked from commit d0f165f)
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[LinearAlgebra] Improve resilience to unknown libblastrampoline flags (…
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add sticky task warning to
@task
andschedule
(#54815)The fact that `@async` causes the task that it was scheduled from to also become sticky is well documented in the warning in [`@async` docs](https://docs.julialang.org/en/v1/base/parallel/#Base.@async), but it's not clear that creating a task and scheduling it also has the same effect, by default. (cherry picked from commit a9b4869)
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Commits on Jun 23, 2024
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Do not add type tag size to the
alloc_typed
lowering for GC allocat……ions (#54837) Enzyme.jl hit an issue where, in a dynamically typed allocation of size `GC_MAX_SZCLASS`, because we mistakenly added they type tag size to the allocation, the runtime disagreed if this was a pool allocation or a big allocation. Causing a crash in the GC (cherry picked from commit ded0b28)
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Commits on Jul 13, 2024
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Commits on Jul 17, 2024
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LinearAlgebra: use
≈
instead of==
fortr
tests in symmetric.jl (……#55143) After investigating #54090, I found that the issue was not caused by the effects of `checksquare`, but by the use of the `@simd` macro within `tr(::Matrix)`: https://github.com/JuliaLang/julia/blob/0945b9d7740855c82a09fed42fbf6bc561e02c77/stdlib/LinearAlgebra/src/dense.jl#L373-L380 While simply removing the `@simd` macro was considered, the strict left-to-right summation without `@simd` otherwise is not necessarily more accurate, so I concluded that the problem lies in the test code, which tests the (strict) equality of two different `tr` execution results. I have modified the test code to use `≈` instead of `==`. - fixes #54090
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LazyString
inLinearAlgebra.checksquare
error message (#53961)This reduces dynamic dispatch and makes JET happier. Testing on v1.11: ```julia julia> import LinearAlgebra: checksquare julia> using JET julia> @report_opt checksquare(rand(2,2), rand(2,2)) ═════ 4 possible errors found ═════ ┌ checksquare(::Matrix{Float64}, ::Matrix{Float64}) @ LinearAlgebra /cache/build/builder-amdci4-1/julialang/julia-release-1-dot-11/usr/share/julia/stdlib/v1.11/LinearAlgebra/src/LinearAlgebra.jl:307 │┌ string(::String, ::Tuple{Int64, Int64}) @ Base ./strings/io.jl:189 ││┌ print_to_string(::String, ::Tuple{Int64, Int64}) @ Base ./strings/io.jl:150 │││┌ _unsafe_take!(io::IOBuffer) @ Base ./iobuffer.jl:494 ││││┌ wrap(::Type{Array}, m::MemoryRef{UInt8}, l::Int64) @ Base ./array.jl:3101 │││││ failed to optimize due to recursion: wrap(::Type{Array}, ::MemoryRef{UInt8}, ::Int64) ││││└──────────────────── │││┌ print_to_string(::String, ::Vararg{Any}) @ Base ./strings/io.jl:143 ││││ runtime dispatch detected: Base._str_sizehint(%17::Any)::Int64 │││└──────────────────── │││┌ print_to_string(::String, ::Vararg{Any}) @ Base ./strings/io.jl:148 ││││ runtime dispatch detected: print(%59::IOBuffer, %97::Any)::Any │││└──────────────────── │││┌ string(::String, ::Int64, ::String, ::Tuple{Int64}, ::String, ::Int64, ::String, ::Int64, ::String) @ Base ./strings/io.jl:189 ││││ failed to optimize due to recursion: string(::String, ::Int64, ::String, ::Tuple{Int64}, ::String, ::Int64, ::String, ::Int64, ::String) │││└──────────────────── julia> function checksquare(A...) # This PR sizes = Int[] for a in A size(a,1)==size(a,2) || throw(DimensionMismatch(lazy"matrix is not square: dimensions are $(size(a))")) push!(sizes, size(a,1)) end return sizes end checksquare (generic function with 2 methods) julia> @report_opt checksquare(rand(2,2), rand(2,2)) No errors detected ```
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Commits on Jul 24, 2024
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Remove boxing in pinv (#51351)
As discussed in https://discourse.julialang.org/t/pinv-not-type-stable/103885/14, the `tol` variable is captured which leads to it being boxed, as suggested can be fixed by having two separate variables. (cherry picked from commit 8e21b21)
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Profile: Improve module docstring (#52678)
![Screenshot 2023-12-30 at 7 24 10 PM](https://github.com/JuliaLang/julia/assets/1694067/a7c78943-5e4a-475c-864c-3b0005305471) (cherry picked from commit 0f62824)
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Fix generic triangular solves with empty matrices (#54201)
(cherry picked from commit 8945914)
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Update the aarch64 devdocs to reflect the current state of its support (
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Compat for
Base.@nospecializeinfer
(#55178)This macro was added in v1.10 but was missing a compat notice. (cherry picked from commit 3290904)
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Fix assertion/crash when optimizing function with dead basic block (#…
…54690) AllocOpt probably needs to handle that in other places more smartly but this seems to at least stop it crashing. Fixes issue found in #54604 (comment) by @topolarity. (cherry picked from commit 5cb1107)
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Use triple quotes in TOML.print when string contains newline (#55084)
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add missing compat entry to edit (#54769)
(cherry picked from commit 3f8e1bd)
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Bump libblastrampoline to v5.10.1 (#54791)
This release fixes issues with complex valued returns from functions such as `cdotc` on Windows x64. See this discussion [0] for initial diagnosis, and this PR [1] for the relevant fixes. [0] JuliaLinearAlgebra/BLISBLAS.jl#15 [1] JuliaLinearAlgebra/libblastrampoline#129 (cherry picked from commit 3054c00)
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Disable typed pointer tests for alloc-opt-pass since the base file is…
… now using opaque pointers
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Commits on Jul 26, 2024
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Commits on Aug 1, 2024
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Fix calling LLVM_SIZE on windows (#53902)
Per JuliaCI/julia-buildkite#224 (comment), the path needs to be updated so that `llvm-size` can find `libLLVM.dll`. (cherry picked from commit 657ce04)
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Do not hide libssp.dll.a (Windows import library) in private library …
…dir (#52820) Fix #51740 Since we are providing libssp.dll on Windows and we want to dynamically link to it, exposing libssp.dll.a is necessary. The inconsistency is that libjulia-codegen.so looks in build_libdir and build_private_libdir while standard library precompilation looks in build_shlibdir and build_private_dir. (cherry picked from commit c3836e1)
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Remove the WarnMissedTransformations pass from the 1.10 pipeline (#55377
) Backport of #54871 onto 1.10 We don't have the luxury of modifying the C-API. This pass surfaces LLVM missed transformation warnings, which is surprising to users. It can be very helpful, but it can also add unactionable noise to the output of Julia programs. This PR simply removes it from the pipeline.
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Add openlibm to sysimg link line on windows (#53672)
LLVM generates calls to math intrinsics like `trunc` and `rint` (at least in my local i686 mingw) build, so linking to openlibm is required. We already have this on the sysimg link line in `Base.link_image`, so this aligns those options. --------- Co-authored-by: Elliot Saba <staticfloat@gmail.com> (cherry picked from commit 320366b)
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Commits on Aug 6, 2024
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[build] Some improvements to the LLVM build system (#55354)
After #55180 we implicitly require an LLVM built with Zlib support, but compiling Julia with `make USE_BINARYBUILDER_LLVM=0` builds an LLVM without Zlib support, despite the fact we attempt to request it at https://github.com/JuliaLang/julia/blob/996351f5f6651d1508aef3c35c7d37eb22a0fb1e/deps/llvm.mk#L97 This was first identified in #55337. `ZLIB_LIBRARY` must be the path to the zlib library, but we currently set it to the libdir where the library is installed (introduced in https://github.com/JuliaLang/julia/blob/996351f5f6651d1508aef3c35c7d37eb22a0fb1e/deps/llvm.mk#L97 which is wrong. However, CMake is actually able to find Zlib correctly, but then the check at https://github.com/llvm/llvm-project/blob/46425b8d0fac3c529aa4a716d19abd7032e452f3/llvm/cmake/config-ix.cmake#L139-L141 uses the value of `ZLIB_LIBRARY` to list the Zlib to link for the test, but being `ZLIB_LIBRARY` a directory, CMake doesn't see any valid Zlib and thus tries to run the test without linking any Zlib, and the test silently fails (they're silent only when `LLVM_ENABLE_ZLIB=ON`), resulting in no usable Zlib available, even if found. `ZLIB_ROOT` is the only [hint recommended by the CMake module `FindZLIB`](https://cmake.org/cmake/help/latest/module/FindZLIB.html#hints). This PR replaces a broken `ZLIB_LIBRARY` with an appropriate `ZLIB_ROOT`. Also, we set `LLVM_ENABLE_ZLIB=FORCE_ON` which is the only way to make CMake fail loudly if no usable Zlib is available, and avoid going on with a non-usable build. I confirm this fixes #55337 for me, it should likely address JuliaCI/julia-buildkite#373 as well. Also, options `COMPILER_RT_ENABLE_IOS`, `COMPILER_RT_ENABLE_WATCHOS`, `COMPILER_RT_ENABLE_TVOS`, and `HAVE_HISTEDIT_H` don't exist anymore, and they are removed.
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AllocOpt: Fix stack lowering where alloca continas boxed and unboxed …
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[docs] change docstring to match code (#55013)
The docstring of `LinearAlgebra.reflectorApply!` is incorrect. It says the function is applying `(I - τ*[1; x] * [1; x]')*A`, but in reality it is applying `(I - conj(τ)*[1; x[2:end]]*[1; x[2:end]]')*A`. You can check that by looking at the code, or running for example ```julia using LinearAlgebra T=ComplexF64;d=5; τ=randn(T);x=randn(T,d);A=randn(T,d,d); (I - conj(τ)*[1; x[2:end]]*[1; x[2:end]]')*A LinearAlgebra.reflectorApply!(x,τ,A) ``` (cherry picked from commit 1ece299)
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Fix a bug in
stack
's DimensionMismatch error message (#54033)`stack` does not require that the inner iterator defines `axes`, but the code to assemble an error message assumed this. Found here: https://discourse.julialang.org/t/reduce-hcat-is-type-unstable/112800/3 (cherry picked from commit ae483c3)
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Add
lbt_forwarded_funcs()
to debug LBT forwarding issues (#55302)It can be very helpful, when struggling with LBT forwarding, to see what functions were actually forwarded to a new library. This utility function makes it easy to query which functions are forwarded to that library. (cherry picked from commit e0f2e29)
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Restrict argument to
isleapyear(::Integer)
(#55317)In 1.10 we have ```jl julia> isleapyear(Year(1992)) false ``` which is semantically incorrect because `Year(1992)` is a duration (1992 years), not an instant. This PR restricts the currently unrestricted argument to integers. (cherry picked from commit fdecc59)
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Profile: Fix stdlib paths (#55327)
(cherry picked from commit b759fe2)
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[libblastrampoline] Bump to v5.11.0 (#55330)
This includes support to properly forward MKL v2024's ILP64 CBLAS symbols, which fixes this [Enzyme issue](EnzymeAD/Enzyme.jl#1683) (cherry picked from commit 602b582)
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Fix tr for block SymTridiagonal (#55371)
This ensures that `tr` for a block `SymTridiagonal` symmetrizes the diagonal elements. (cherry picked from commit a163483)
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KristofferC committed
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Commits on Aug 9, 2024
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stale_cachefile
: handle if the expected cache file is missing (#55419)Part of fixing JuliaLang/Pkg.jl#3984
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🤖 [backports-release-1.10] Bump the Pkg stdlib from 9cb6d35f8 to 4552…
…1a6e8 (#55437) Stdlib: Pkg URL: https://github.com/JuliaLang/Pkg.jl.git Stdlib branch: release-1.10 Julia branch: backports-release-1.10 Old commit: 9cb6d35f8 New commit: 45521a6e8 Julia version: 1.10.4 Pkg version: 1.10.0(Does not match) Bump invoked by: @IanButterworth Powered by: [BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl) Diff: JuliaLang/Pkg.jl@9cb6d35...45521a6 ``` $ git log --oneline 9cb6d35f8..45521a6e8 45521a6e8 backport extension dependency modeling from Base 1.11 to Pkg 1.10 (#3986) 1810b1123 don't swallow internal errors (#3987) ``` Co-authored-by: Dilum Aluthge <dilum@aluthge.com>
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🤖 [backports-release-1.10] Bump the Pkg stdlib from 45521a6e8 to a4f2…
…6cff6 (#55463) Stdlib: Pkg URL: https://github.com/JuliaLang/Pkg.jl.git Stdlib branch: release-1.10 Julia branch: backports-release-1.10 Old commit: 45521a6e8 New commit: a4f26cff6 Julia version: 1.10.4 Pkg version: 1.10.0(Does not match) Bump invoked by: @IanButterworth Powered by: [BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl) Diff: JuliaLang/Pkg.jl@45521a6...a4f26cf ``` $ git log --oneline 45521a6e8..a4f26cff6 a4f26cff6 [release-1.10] Pkg.precompile: Handle when the terminal is very short (#3988) ``` Co-authored-by: Dilum Aluthge <dilum@aluthge.com>
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KristofferC committed
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