Tests
- LinearAlgebra/bidiag/relty = BigFloat, elty = BigFloat/uplo = U/diag @test #= /cache/build/default-aws-aarch64-ci-1-1/julialang/julia-master/julia-7cce1d3ade/share/julia/stdlib/v1.13/LinearAlgebra/test/bidiag.jl:402 =# @inferred(diag(G, 2))::typeof(gdv) == GenericArray(zeros(elty, n - 2))stdlib/LinearAlgebra/test/bidiag.jl:402github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.Diagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, ::LinearAlgebra.Diagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, α, β)/α = true, β = 0.45218646761204517314780559900100342929363250732421875/β = 0 ignores C .= 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.SymTridiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = 0.6215223877341254, β = false/adjoint and transpose/fa = transpose, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable1s average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UpperTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, ::LinearAlgebra.SymTridiagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = true, β = -0.7352586700932019 - 2.015837280405147im @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Symmetric{Int64, S} where S<:(AbstractMatrix{<:Int64}), ::LinearAlgebra.Tridiagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, α, β)/α = true, β = -2.0731685517347254 - 0.39647459445191774im/adjoint and transpose/fa = transpose, fb = identity @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- subarray/unaliascopy trimming; Issue #26263/custom ranges @test #= C:\buildkite-agent\builds\win2k22-amdci6-6\julialang\julia-master\julia-fa23f6e7e5\share\julia\test\subarray.jl:843 =# @inferred(Base.unaliascopy(V))::typeof(V) == Vshare/julia/test/subarray.jl:843github100% reliable0μs average duration
- Printf/Printf/dynamic @test #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-d6fdbf5212\share\julia\stdlib\v1.13\Printf\test\runtests.jl:942 =# Printf.@sprintf("%*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f %*.*f", 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345, 4, 2, 1.2345) == #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-d6fdbf5212\share\julia\stdlib\v1.13\Printf\test\runtests.jl:942 =# Printf.@sprintf("%4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f %4.2f", 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345, 1.2345)stdlib/Printf/test/runtests.jl:942github100% reliable0μs average duration
- broadcast @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-c094b5052c/share/julia/test/broadcast.jl:933 =# @inferred(Base.IteratorSize(Base.broadcasted(randn))) === Base.HasShape{0}()share/julia/test/broadcast.jl:933github100% reliable0μs average duration
- LinearAlgebra/dense/For A containing ComplexF64/For b containing Float64/Test nullspace @test size(#= /cache/build/tester-amdci4-14/julialang/julia-master/julia-b00cebfc7f/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:132 =# @inferred(nullspace(transpose(b[1, :])))) == (2, 1)stdlib/LinearAlgebra/test/dense.jl:132github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.UnitUpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = -0.28207718127855397 + 0.44210826861552266im, β = 0.0 + 0.0im @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/dense/For A containing ComplexF64/For b containing Int64/Test nullspace @test size(#= /cache/build/tester-amdci5-10/julialang/julia-master/julia-f451329125/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:124 =# @inferred(nullspace(zero(a[:, 1])))) == (1, 1)stdlib/LinearAlgebra/test/dense.jl:124github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.UnitLowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = true, β = 1.390233008193362/α = 0 ignores A .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- arrayops/CartesianIndex @test a1[[CartesianIndex()], :] == #= C:\buildkite-agent\builds\win2k22-amdci6-2\julialang\julia-master\julia-bdbad66a66\share\julia\test\arrayops.jl:2103 =# @view(a1[[CartesianIndex()], :]) == reshape(a, 1, 60)share/julia/test/arrayops.jl:2103github100% reliable0μs average duration
- LinearAlgebra/bidiag/relty = Int32, elty = Int32/uplo = U/diag @test #= /cache/build/tester-amdci5-9/julialang/julia-master/julia-17aa5d1288/share/julia/stdlib/v1.13/LinearAlgebra/test/bidiag.jl:400 =# @inferred(diag(G))::typeof(gdv) == gdvstdlib/LinearAlgebra/test/bidiag.jl:400github100% reliable0μs average duration
- env/get_bool_env/empty @test Base.get_bool_env((()->begin #= /cache/build/tester-amdci4-14/julialang/julia-master/julia-54197132f5/share/julia/test/env.jl:156 =# true end), "testing_gbe") == trueshare/julia/test/env.jl:156github100% reliable0μs average duration
- Compiler/effects @test Base.infer_effects((MemoryRef{Int}, Int)) do a, v #= /cache/build/default-aws-aarch64-ci-0-3/julialang/julia-master/julia-5fe40c6d34/share/julia/Compiler/test/effects.jl:781 =# Core.memoryrefset!(a, v, :not_atomic, false) end |> Compiler.is_nothrowshare/julia/Compiler/test/effects.jl:780github100% reliable0μs average duration
- fastmath/complex arithmetic @test ≈(#= /cache/build/tester-amdci4-9/julialang/julia-master/julia-f49f46d240/share/julia/test/fastmath.jl:204 =# @fastmath((0.5f0 + 0.5f0im) + (0.33333334f0 - 0.33333334f0im)), (0.5f0 + 0.5f0im) + (0.33333334f0 - 0.33333334f0im), rtol = 0.00034526698f0)share/julia/test/fastmath.jl:204github100% reliable0μs average duration
- numbers/constructor inferability for Int16 @test all((R->begin #= /cache/build/tester-amdci5-10/julialang/julia-master/julia-7270004d28/share/julia/test/numbers.jl:2997 =# R <: T end), Base.return_types(T))share/julia/test/numbers.jl:2997github100% reliable0μs average duration
- core @test unsafe_pointer_to_objref(ccall(:jl_call1, Ptr{Cvoid}, (Any, Any), (x->begin #= C:\buildkite-agent\builds\win2k22-amdci6-1\julialang\julia-master\julia-8640ecda91\share\julia\test\core.jl:1501 =# x + 1 end), 314158)) == 314159share/julia/test/core.jl:1500github100% reliable0μs average duration
- offsetarray/in-place reductions with mismatched dimensionalities @test #= /cache/build/tester-amdci5-15/julialang/julia-master/julia-148493d3da/share/julia/test/offsetarray.jl:661 =# @inferred(minimum!(R, B)) == reshape(minimum(B, dims = (2, 3)), axes(R)) == reshape(1:4, axes(R))share/julia/test/offsetarray.jl:661github100% reliable0μs average duration