Tests
- LinearAlgebra/dense/For A containing ComplexF32/For b containing ComplexF32/Test nullspace @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-ed89b9743e/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:121 =# @inferred(nullspace(zeros(0, n))) == Matrix(I, n, n)stdlib/LinearAlgebra/test/dense.jl:121github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = -0.13114202952524911527376616504625417292118072509765625, β = -0.13114202952524911527376616504625417292118072509765625/α = 0 ignores A .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = -1.22828654075256249456060686497949063777923583984375, β = 0.0 @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- ranges/constant-valued ranges (issues #10391 and #29052)/with StepRange of Int64 @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-macmini-x64-6.0/build/default-macmini-x64-6-0/julialang/julia-master/julia-8e03cb11c8/share/julia/test/ranges.jl:2020 =# @inferred(0 .* r) == [0.0, 0.0, 0.0, 0.0]share/julia/test/ranges.jl:2020github100% reliable0μs average duration
- core @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-080f9b21d7/share/julia/test/core.jl:4218 =# @m8846(a, 1) === (:a, 1)share/julia/test/core.jl:4218github100% reliable0μs average duration
- syntax @test Meta.lower(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-1fae15a3cf/share/julia/test/syntax.jl:1528 =# @__MODULE__(), :([return 0 for i = 1:2])) == Expr(:error, "\"return\" not allowed inside comprehension or generator")share/julia/test/syntax.jl:1528github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = 0.8175833920548221, β = 0.8175833920548221 @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- ccall @test #= /cache/build/tester-amdci5-9/julialang/julia-master/julia-192f1228f0/share/julia/test/ccall.jl:101 =# @ccall_echo_objref(553, Ptr{Any}, Any) === 553share/julia/test/ccall.jl:101github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = -1.839979627383912852423009098856709897518157958984375, β = false/adjoint and transpose/fa = transpose, fb = transpose @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::Matrix{Float32}, ::LinearAlgebra.Bidiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 0.03458805035678521, β = 0.0/adjoint and transpose/fa = adjoint, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- corelogging/Logging/Custom log levels @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-bd34e657ad/share/julia/test/corelogging.jl:342 =# @logmsg LogLevelTest.critical "blah"share/julia/test/corelogging.jl:342github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{Int32, S} where S<:AbstractMatrix{Int32}, ::LinearAlgebra.Bidiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, α, β)/α = true, β = false/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- channels @test timedwait((()->begin #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-558f984718/share/julia/test/channels.jl:595 =# a == [1] end), 10) === :okshare/julia/test/channels.jl:595github100% reliable0μs average duration
- reducedim/test reductions over region: (1, 4) @test #= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-50ae2f28dc\share\julia\test\reducedim.jl:84 =# @inferred(sum(abs, Areduc, dims = region)) ≈ safe_sumabs(Areduc, region)share/julia/test/reducedim.jl:84github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::Matrix{Int64}, α, β)/α = 0.1955787570595471, β = false/α = 0 ignores A .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.Symmetric{BigFloat, S} where S<:(AbstractMatrix{<:BigFloat}), α, β)/α = true, β = -0.631679236978402780522401371854357421398162841796875/α = 0 ignores A .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 0.9824844292424879, β = 0.0/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Compiler/irpasses/effect-freeness computation for array allocation @test fully_eliminated() do #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-HL2F7YQ3XH.0/build/default-honeycrisp-HL2F7YQ3XH-0/julialang/julia-master/julia-25e13c57a3/share/julia/Compiler/test/irpasses.jl:1125 =# IdDict{Any, Any}() #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-HL2F7YQ3XH.0/build/default-honeycrisp-HL2F7YQ3XH-0/julialang/julia-master/julia-25e13c57a3/share/julia/Compiler/test/irpasses.jl:1126 =# nothing endshare/julia/Compiler/test/irpasses.jl:1124github100% reliable0μs average duration
- atomics/Main.Test97Main_atomics.ARefxy{Complex{Rational{Integer}}}(10//1 + 30//1*im, 20//1 + 40//1*im) @test_throws nothing replacefield!(r, :y, y, y, :not_atomic, :release)share/julia/test/atomics.jl:244github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Hermitian{Int64, S} where S<:(AbstractMatrix{<:Int64}), ::LinearAlgebra.Symmetric{Int64, S} where S<:(AbstractMatrix{<:Int64}), α, β)/α = 1.0, β = 0.375958446619661323939709518526797182857990264892578125/adjoint and transpose/fa = adjoint, fb = adjoint @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration