Tests
- ranges/constant-valued ranges (issues #10391 and #29052)/with StepRangeLen of Int64 @test #= C:\buildkite-agent\builds\win2k22-amdci6-7\julialang\julia-master\julia-1ce3d6c2c6\share\julia\test\ranges.jl:2045 =# @inferred(-1.0 .* reverse(r)) == [-4, -3, -2, -1]share/julia/test/ranges.jl:2045github100% reliable0μs average duration
- LinearAlgebra/diagonal/relty = Float64, elty = ComplexF64/diag @test #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-cc4f8abcd3/share/julia/stdlib/v1.13/LinearAlgebra/test/diagonal.jl:117 =# @inferred(diag(DG, 1))::typeof(GenericArray(dd)) == GenericArray(zeros(elty, n - 1))stdlib/LinearAlgebra/test/diagonal.jl:117github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 1.0, β = 1.04796756784327982359172892756760120391845703125/β = 0 ignores C .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- reducedim/test reductions over region: 5 @test #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-08c87b2099\share\julia\test\reducedim.jl:78 =# @inferred(sum(Areduc, dims = region)) ≈ safe_sum(Areduc, region)share/julia/test/reducedim.jl:78github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = -1.06439805875865811657376980292610824108123779296875, β = 0.0 @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = true, β = 0.41012416043839184/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{BigFloat}, ::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.Symmetric{BigFloat, S} where S<:(AbstractMatrix{<:BigFloat}), α, β)/α = true, β = -0.351925010501357327097338156818295828998088836669921875/adjoint and transpose/fa = transpose, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.LowerTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, α, β)/α = 1.1618609220554836 + 0.24033719733660125im, β = false/α = 0 ignores A .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = Float32/mat_type = LinearAlgebra.SymTridiagonal/diag @test #= /cache/build/tester-amdci4-8/julialang/julia-master/julia-58deac96d4/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:286 =# @inferred(diag(A, 0))::typeof(d) == dstdlib/LinearAlgebra/test/tridiag.jl:286github100% reliable0μs average duration
- SparseArrays/cholmod/Core functionality (ComplexF64, Float32) @test !(isposdef(A1 + copy(A1') |> (t->begin #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-b7d5a35f25/share/julia/stdlib/v1.13/SparseArrays/test/cholmod.jl:494 =# t - (2 * eigmax(Array(t))) * I end)))stdlib/SparseArrays/test/cholmod.jl:494github100% reliable0μs average duration
- docs @test #= /cache/build/tester-amdci5-9/julialang/julia-master/julia-f83f697d5d/share/julia/test/docs.jl:1263 =# @var(Core.Int) == xshare/julia/test/docs.jl:1263github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.LowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = 1.0 + 0.0im, β = 0.16731342039028707 - 0.609296523131024im @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- bitarray/map over bitarrays/map! for length 0 @test map!(min, b, b1, b2) == map!(((x, y)->begin #= /cache/build/tester-amdci5-12/julialang/julia-master/julia-0c4003be4d/share/julia/test/bitarray.jl:1502 =# min(x, y) end), b, b1, b2) == min.(b1, b2) == bshare/julia/test/bitarray.jl:1502github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.UnitUpperTriangular{Int32, S} where S<:AbstractMatrix{Int32}, α, β)/α = 0.1516775143647999, β = false @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- reflection @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-d1e21996fa/share/julia/test/reflection.jl:980 =# @locals() == Dict{Symbol, Any}(:x => 1)share/julia/test/reflection.jl:980github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = Float32/tril/triu @test #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-9cd212b64c/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:169 =# @inferred(triu!(copy(SymTridiagonal(d, dl)), 1)) == Tridiagonal(zerosdl, zerosd, dl)stdlib/LinearAlgebra/test/tridiag.jl:169github100% reliable0μs average duration
- math/hypot/Float64 @test #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-af154eeee3\share\julia\test\math.jl:1373 =# @inferred(hypot(x, x / 4, x / 4)) ≈ x * sqrt(9 / BigFloat(8))share/julia/test/math.jl:1373github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = 1.5807550771198298, β = false/adjoint and transpose/fa = transpose, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, ::LinearAlgebra.UnitUpperTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, α, β)/α = -1.0162102037535639 + 0.5500633828067908im, β = 0.0 + 0.0im @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- atomics @test_throws ConcurrencyViolationError("invalid atomic ordering") setglobalonce!(Main.Test87Main_atomics, :h1_Int64, x, :unordered, :not_atomic)share/julia/test/atomics.jl:669github100% reliable1s average duration