Tests
- LinearAlgebra/qr/eltya = ComplexF64/eltyb = ComplexF64/Matmul with QR factorizations @test all((x->begin #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-HL2F7YQ3XH.0/build/default-honeycrisp-HL2F7YQ3XH-0/julialang/julia-master/julia-69db0a5f2b/share/julia/stdlib/v1.13/LinearAlgebra/test/qr.jl:204 =# abs(x) < ε * norm(a) end), d[n1 + 1:var"end", :])stdlib/LinearAlgebra/test/qr.jl:204github100% reliable0μs average duration
- LinearAlgebra/adjtrans/Adjoint and Transpose basic AbstractArray functionality/setindex! methods @test begin wZ = Adjoint(copy(complexintmatmat)) #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-5c9a59240b/share/julia/stdlib/v1.13/LinearAlgebra/test/adjtrans.jl:235 =# wZ === setindex!(wZ, Adjoint([13im 14im]), 3, 1) && wZ == setindex!(copy(acomplexintmatmat), hcat([-13im, -14im]), 3, 1) endstdlib/LinearAlgebra/test/adjtrans.jl:234github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, α, β)/α = 1.0, β = 0.0872090171933539159976334076418424956500530242919921875/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Hermitian{ComplexF32, S} where S<:(AbstractMatrix{<:ComplexF32}), ::LinearAlgebra.SymTridiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, α, β)/α = -0.003638611479096864 - 0.2404205663122282im, β = -0.003638611479096864 - 0.2404205663122282im @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.Bidiagonal{Float64, V} where V<:AbstractVector{Float64}, ::Matrix{Float64}, α, β)/α = 1.0, β = 0.0/adjoint and transpose/fa = identity, fb = transpose @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- subtype @test issub(Tuple{Float32, Array{Real, 1}}, #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-d17b0e143d\share\julia\test\subtype.jl:263 =# @UnionAll(T <: Real, #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-d17b0e143d\share\julia\test\subtype.jl:263 =# @UnionAll(S <: AbstractArray{T, 1}, Tuple{T, S})))share/julia/test/subtype.jl:262github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::Matrix{BigFloat}, ::LinearAlgebra.SymTridiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 1.0, β = 0.1336790753396463748980949048927868716418743133544921875/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{Int64}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.SymTridiagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = 2, β = false/adjoint and transpose/fa = transpose, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- InteractiveUtils @test !(isempty(sprint((io->begin #= /cache/build/tester-amdci5-14/julialang/julia-master/julia-57a82a6e21/share/julia/stdlib/v1.13/InteractiveUtils/test/runtests.jl:404 =# code_native(io, f_broken_code, (), dump_module = false) end))))stdlib/InteractiveUtils/test/runtests.jl:404github100% reliable0μs average duration
- offsetarray/in-place reductions with mismatched dimensionalities @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-macmini-x64-5.0/build/default-macmini-x64-5-0/julialang/julia-master/julia-facd44c2ec/share/julia/test/offsetarray.jl:666 =# @allocated(maximum!(R, B)) <= 400share/julia/test/offsetarray.jl:666github100% reliable0μs average duration
- syntax @test begin #= /cache/build/tester-amdci5-12/julialang/julia-master/julia-489a460df9/share/julia/test/syntax.jl:3824 =# ImplicitCurly8{T} = Ref{T} end isa UnionAllshare/julia/test/syntax.jl:3824github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Symmetric{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.SymTridiagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = -1.0059988651318594 + 1.1142335794691864im, β = false/α = 0 ignores A .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- sorting/Each sorting algorithm individually @test issorted(b, by = (x->begin #= /cache/build/tester-amdci5-8/julialang/julia-master/julia-418af11fcb/share/julia/test/sorting.jl:206 =# 1 / x end))share/julia/test/sorting.jl:206github100% reliable0μs average duration
- atomics @test_throws ErrorException #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-bca7c3467d\share\julia\test\atomics.jl:386 =# @macroexpand #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-bca7c3467d\share\julia\test\atomics.jl:386 =# @atomic(foo += bar)share/julia/test/atomics.jl:386github100% reliable1s average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = 1.0, β = 0.910369227519993 @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- Compiler/inline/is_declared_[no]inline @test is_declared_noinline(only(methods(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-1c1f53aaf3/share/julia/Compiler/test/inline.jl:287 =# @noinline((x->begin #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-1c1f53aaf3/share/julia/Compiler/test/inline.jl:287 =# x end)))))share/julia/Compiler/test/inline.jl:287github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.Bidiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, α, β)/α = true, β = -1.293365055990578 - 0.07085591502800334im/adjoint and transpose/fa = identity, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- math/hypot/promotion, issue #53505/Int,Float64 @test #= /cache/build/tester-amdci4-13/julialang/julia-master/julia-0e5f28168c/share/julia/test/math.jl:1392 =# @inferred(hypot(targs...)) isa float(eltype(promote(targs...)))share/julia/test/math.jl:1392github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = ComplexF64/tril/triu @test #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-885c03ebcc/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:140 =# @inferred(tril(SymTridiagonal(d, dl), -1)) == Tridiagonal(dl, zerosd, zerosdl)stdlib/LinearAlgebra/test/tridiag.jl:140github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Symmetric{Int64, S} where S<:(AbstractMatrix{<:Int64}), ::LinearAlgebra.Symmetric{Float64, S} where S<:(AbstractMatrix{<:Float64}), α, β)/α = -1.7130593481163316, β = -1.7130593481163316/adjoint and transpose/fa = transpose, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration