Tests
- LinearAlgebra/structuredbroadcast/broadcast over structured matrices with matrix elements/UpperTriangular @test ((x->begin #= /cache/build/tester-amdci5-10/julialang/julia-master/julia-e98565200e/share/julia/stdlib/v1.13/LinearAlgebra/test/structuredbroadcast.jl:330 =# 1 end)).(D) == ones(Int, size(D))stdlib/LinearAlgebra/test/structuredbroadcast.jl:330github100% reliable0μs average duration
- syntax/issue #16594 @test :(#= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XG3Q6T6R70.0/build/default-honeycrisp-XG3Q6T6R70-0/julialang/julia-master/julia-400d0b12d2/share/julia/test/syntax.jl:2257 =# @x(1 + 1, -1)) == :(#= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XG3Q6T6R70.0/build/default-honeycrisp-XG3Q6T6R70-0/julialang/julia-master/julia-400d0b12d2/share/julia/test/syntax.jl:2257 =# @x(1 + 1, -1))share/julia/test/syntax.jl:2257github100% reliable0μs average duration
- reinterpretarray @test #= /cache/build/tester-amdci4-11/julialang/julia-master/julia-638a6a2338/share/julia/test/reinterpretarray.jl:36 =# @inferred(size(reinterpret(reshape, Int128, _B))) == (3,)share/julia/test/reinterpretarray.jl:36github100% reliable0μs average duration
- LinearAlgebra/givens/Test Givens for Float32/A = Float32[0.14350027 -0.9124652 0.6128894 1.2394123 -1.478164 1.0427091 -0.9659116 2.3434708 0.09936663 -0.11617998; -0.12751764 -1.4496334 0.35114124 0.6229874 -0.92202425 0.16888224 0.57937497 -2.1800096 1.1149064 0.5825594; 0.09603456 0.06751212 -1.0939481 -0.8597032 -0.40548447 1.0497116 2.1647007 0.19516969 -0.7606804 1.1100802; 1.7261829 -1.6046157 -0.7534786 1.3619531 -0.21626195 -0.14842798 0.26487452 0.8193654 0.5458206 -0.6051376; -1.1209679 0.0217602 -0.27840474 1.5947511 1.1452281 -0.3630531 1.7959162 0.7762805 -0.22363864 0.6754359; -0.47276494 0.75273603 -1.7709595 -0.12049976 -0.40415144 -1.0759399 1.06339 0.73904514 -2.3723905 0.4302013; -0.035518687 -1.7301713 0.2287629 -1.2112294 -0.119017825 -0.48216552 -1.076807 -0.3674307 0.15841141 0.55417776; -0.13539606 0.5030268 -1.015086 -0.099206 0.62701595 -0.2648825 -0.32982448 -0.33071476 0.8680041 0.7145874; 1.813979 0.6512322 -0.9112512 -0.20201015 -0.746573 0.42205223 -1.5230286 0.9342016 0.514491 @test lmul!(G, Matrix{elty}(I, 10, 10)) == [G[i, j] for i = 1:10, j = 1:10]stdlib/LinearAlgebra/test/givens.jl:27github100% reliable0μs average duration
- Compiler/inline @test fully_eliminated() do #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-5b9d2fa086\share\julia\Compiler\test\inline.jl:1103 =# FooTheRef(0) #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-5b9d2fa086\share\julia\Compiler\test\inline.jl:1104 =# nothing endshare/julia/Compiler/test/inline.jl:1102github100% reliable0μs average duration
- sorting/PartialQuickSort @test !(issorted(c, by = (x->begin #= /cache/build/tester-amdci5-10/julialang/julia-master/julia-948d738839/share/julia/test/sorting.jl:311 =# 1 / x end)))share/julia/test/sorting.jl:311github100% reliable0μs average duration
- Compiler/inference @test Base.return_types((AliasableField,); interp = MustAliasInterpreter()) do x #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-0d4d6d927d/share/julia/Compiler/test/inference.jl:2533 =# if 0 === x.f #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-0d4d6d927d/share/julia/Compiler/test/inference.jl:2534 =# return x.f end #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-0d4d6d927d/share/julia/Compiler/test/inference.jl:2536 =# return 0 end |> only === Intshare/julia/Compiler/test/inference.jl:2532github100% reliable0μs average duration
- broadcast/broadcasting for custom AbstractArray @test a .+ 1 .* 2 == #= /cache/build/default-aws-aarch64-ci-0-4/julialang/julia-master/julia-751c041d86/share/julia/test/broadcast.jl:516 =# @inferred(fadd2(aa))share/julia/test/broadcast.jl:516github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = true, β = 0.8341495958248929 + 0.1923839767126375im/α = 0 ignores A .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.UnitLowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = -1.2868206193837437 + 0.1941113744238983im, β = false/adjoint and transpose/fa = identity, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Printf/Printf/dynamic @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-HL2F7YQ3XH.0/build/default-honeycrisp-HL2F7YQ3XH-0/julialang/julia-master/julia-44f03fb272/share/julia/stdlib/v1.13/Printf/test/runtests.jl:881 =# Printf.@sprintf("%.*e", 2, 0.235) == #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-HL2F7YQ3XH.0/build/default-honeycrisp-HL2F7YQ3XH-0/julialang/julia-master/julia-44f03fb272/share/julia/stdlib/v1.13/Printf/test/runtests.jl:881 =# Printf.@sprintf("%.2e", 0.235)stdlib/Printf/test/runtests.jl:881github100% reliable0μs average duration
- LinearAlgebra/dense/For A containing Float64/For b containing Float64/Test nullspace @test size(#= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-1fae15a3cf\share\julia\stdlib\v1.13\LinearAlgebra\test\dense.jl:127 =# @inferred(nullspace((a[:, 1])'))) == (n, n - 1)stdlib/LinearAlgebra/test/dense.jl:127github100% reliable0μs average duration
- Compiler/inference @test Base.return_types((Any,); interp = MustAliasInterpreter()) do a #= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-e98565200e\share\julia\Compiler\test\inference.jl:2366 =# x = AliasableConstField(a, 0) #= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-e98565200e\share\julia\Compiler\test\inference.jl:2367 =# if getfield(x, :f1) isa Int #= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-e98565200e\share\julia\Compiler\test\inference.jl:2368 =# return getfield(x, :f1) end #= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-e98565200e\share\julia\Compiler\test\inference.jl:2370 =# return 0 end |> only === Intshare/julia/Compiler/test/inference.jl:2365github100% reliable0μs average duration
- reinterpretarray @test #= /cache/build/tester-amdci5-9/julialang/julia-master/julia-57eded369f/share/julia/test/reinterpretarray.jl:297 =# @inferred(IndexStyle(r)) == IndexCartesian()share/julia/test/reinterpretarray.jl:297github100% reliable0μs average duration
- sets/unique! @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-a9c654dbed/share/julia/test/sets.jl:559 =# @inferred(unique!([])) == []share/julia/test/sets.jl:559github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.SymTridiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = 0.7949673768176626 - 0.1875008491843186im, β = false/adjoint and transpose/fa = transpose, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- docs @test docstrings_equal(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-c5c248c3e9/share/julia/test/docs.jl:1078 =# @doc(Undocumented.st3), doc"$doc_str")share/julia/test/docs.jl:1078github100% reliable0μs average duration
- LinearAlgebra/givens/Test Givens for ComplexF64/A = ComplexF64[-1.00151037587548 - 1.2995074096291304im 0.46962349786766805 + 0.48540155254089734im -0.21585605432459545 - 1.3787595189137842im 1.5132011567470252 + 0.7399492498649858im 0.6199068665173911 + 0.33768815254779055im -1.0717440959881201 - 1.2280471681557572im -0.48763666264397215 - 0.09380918692371001im -0.7668258525718212 - 0.6773318854278197im 0.9813219168156335 - 0.45793434697945373im 0.28215909225319225 - 2.0083424587761067im; 1.4668550820713877 - 1.4035049344357438im -0.7138469539632617 + 1.6101603932358082im 0.33719555323470124 + 0.6785586194526046im -0.2597805212246586 - 1.0367410887551725im 0.13674674806928946 + 0.40343372991094634im -1.1334495387625347 - 2.51741131530083im 0.3383970329876524 - 0.6059011422502386im -0.1045789514210316 - 0.6878365030877603im 0.8640792028609884 - 1.692875440298062im 0.2322131833607515 + 0.9235226523840526im; -0.22716221680183327 - 0.25205501636660954im 0.5626260885322015 - 0.3675124675908611im -0.62297650638753 @test_throws nothing givens(one(elty), zero(elty), 2, 2)stdlib/LinearAlgebra/test/givens.jl:47github100% reliable0μs average duration
- iterators @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZM05NJYVY.0/build/default-grannysmith-C07ZM05NJYVY-0/julialang/julia-master/julia-eed18bdf70/share/julia/test/iterators.jl:190 =# @inferred isempty(drop(0:2:10, 100))share/julia/test/iterators.jl:190github100% reliable0μs average duration
- intfuncs/nextpow/prevpow @test_throws nothing prevpow(0, 3)share/julia/test/intfuncs.jl:341github100% reliable0μs average duration