Tests
- Compiler/inference/compilation annotations/@nospecializeinfer @test length(Base.specializations(only(methods(func_nospecializeinfer_inline)))) == 1share/julia/Compiler/test/inference.jl:4424github100% reliable0μs average duration
- iterators @test #= /cache/build/tester-amdci4-15/julialang/julia-master/julia-b6b21f9247/share/julia/test/iterators.jl:330 =# @inferred(ndims(p)) == 3share/julia/test/iterators.jl:330github100% reliable0μs average duration
- core @test_throws nothing #= C:\buildkite-agent\builds\win2k22-amdci6-1\julialang\julia-master\julia-c6511129a4\share\julia\test\core.jl:3600 =# @eval function f() #= C:\buildkite-agent\builds\win2k22-amdci6-1\julialang\julia-master\julia-c6511129a4\share\julia\test\core.jl:3600 =# #= C:\buildkite-agent\builds\win2k22-amdci6-1\julialang\julia-master\julia-c6511129a4\share\julia\test\core.jl:3601 =# for $(Expr(:outer, :i)) = 1:2 #= C:\buildkite-agent\builds\win2k22-amdci6-1\julialang\julia-master\julia-c6511129a4\share\julia\test\core.jl:3601 =# #= C:\buildkite-agent\builds\win2k22-amdci6-1\julialang\julia-master\julia-c6511129a4\share\julia\test\core.jl:3602 =# end endshare/julia/test/core.jl:3600github100% reliable0μs average duration
- offsetarray @test #= /cache/build/default-aws-aarch64-ci-0-5/julialang/julia-master/julia-98dea0389a/share/julia/test/offsetarray.jl:364 =# @inferred(dropdims(a, dims = (1, 2, 5))) == dropdims(a, dims = (5, 2, 1)) == OffsetArray(reshape(a, (8, 8)), (3, 4))share/julia/test/offsetarray.jl:364github100% reliable0μs average duration
- Printf/Printf/dynamic @test #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-638a6a2338\share\julia\stdlib\v1.13\Printf\test\runtests.jl:1129 =# Printf.@sprintf("%*.0u", 20, UInt(4294966272)) == #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-638a6a2338\share\julia\stdlib\v1.13\Printf\test\runtests.jl:1129 =# Printf.@sprintf("%20.0u", UInt(4294966272))stdlib/Printf/test/runtests.jl:1129github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Bidiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 1.0, β = -0.56990058215857219980904346812167204916477203369140625/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
- syntax @test_throws nothing Core.eval(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-62dd72f2cb/share/julia/test/syntax.jl:4175 =# @__MODULE__(), :(let #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-62dd72f2cb/share/julia/test/syntax.jl:4176 =# const y57470 = 1 end))share/julia/test/syntax.jl:4173github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = true, β = 0.4441193166214434 - 0.11508242218641952im/α = 0 ignores A .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- fastmath/mixed real/complex arithmetic @test #= /cache/build/tester-amdci4-11/julialang/julia-master/julia-7fa969ab3c/share/julia/test/fastmath.jl:230 =# @fastmath(cis(third)) ≈ cis(third)share/julia/test/fastmath.jl:230github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::Matrix{Float32}, α, β)/α = 0.5505521487055941 - 0.10290425230336639im, β = false/adjoint and transpose/fa = transpose, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.UnitLowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 1.0, β = 0.58239023794800903743862363626249134540557861328125/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitLowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 1.5816313031736922 + 1.5703100497548184im, β = 0.0 + 0.0im/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
- LinearAlgebra/addmul/mul!(::Matrix{Int64}, ::LinearAlgebra.UnitLowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 1, β = -1/adjoint and transpose/fa = adjoint, fb = transpose @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/triangular2/elty1 = BigFloat/(t1, uplo1) = (LinearAlgebra.UnitUpperTriangular, :U) @test A1 * transpose(B) ≈ M1 * transpose(B)stdlib/LinearAlgebra/test/testtriag.jl:436github100% reliable0μs average duration
- bitarray/map over bitarrays/map! for length 63 @test map!(⊻, b, b1, b2) == map!(((x, y)->begin #= /cache/build/default-aws-aarch64-ci-1-0/julialang/julia-master/julia-55f875eab2/share/julia/test/bitarray.jl:1497 =# x ⊻ y end), b, b1, b2) == broadcast(⊻, b1, b2) == broadcast(xor, b1, b2) == bshare/julia/test/bitarray.jl:1497github100% reliable0μs average duration
- LinearAlgebra/dense/For A containing Float32/For b containing ComplexF32/Test nullspace @test size(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-226a718e2a/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.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 1.0, β = -1.1675539845280296/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitLowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = -0.1725154273153715889232984181944630108773708343505859375, β = -0.1725154273153715889232984181944630108773708343505859375/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- docs @test docstrings_equal(#= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-b6b21f9247\share\julia\test\docs.jl:371 =# @doc(DocsTest.K), doc"K")share/julia/test/docs.jl:371github100% reliable0μs average duration
- LinearAlgebra/givens/Test Givens for ComplexF64/A = ComplexF64[-0.668048518207525 + 0.16376369788015527im -0.9673547096383106 - 1.6640950845226232im -1.0590906664020865 - 1.6969472510340522im 0.7609223194280519 - 1.9023314488240322im 0.11950526844170749 - 1.2607709743255429im 1.0669765251031325 - 0.03847931736835374im -0.6059622623573169 + 0.8969396284955149im -0.7257269731101194 - 0.8624649143755101im 0.6434173695546919 + 0.4830531770710259im -1.0427544340897814 + 1.0561359377042856im; 0.15970946978511757 + 4.500107508128227im -1.738306457978608 + 0.48519305699894333im 0.31511396488961285 - 0.13706462584057866im -1.9659947294635005 - 0.8304731393581716im -0.8495330190558895 - 1.2691525036676203im 0.21748759948487928 + 0.9638577506964754im -1.2289841671429302 - 1.567554520390416im -0.5183433907218651 - 1.1634908714517054im -1.2192953365641026 - 0.29435679570809625im -0.4801973243908672 + 0.4457274097929527im; -3.3405045683621753e-17 - 2.4520746958546675e-17im 1.993132040355006 - 3.214147052951952im 0.15517987 @test r * A ≈ (A' * r')' ≈ lmul!(r, copy(A))stdlib/LinearAlgebra/test/givens.jl:41github100% reliable0μs average duration