Tests
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.UnitLowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 1.0, β = -0.2879444570906228/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
- ranges/constant-valued ranges (issues #10391 and #29052)/with UnitRange of Int64 @test #= /cache/build/default-aws-aarch64-ci-1-4/julialang/julia-master/julia-93da645175/share/julia/test/ranges.jl:2024 =# @inferred(r - r) == [0.0, 0.0, 0.0, 0.0]share/julia/test/ranges.jl:2024github100% reliable0μs average duration
- Compiler/inference @test #= /cache/build/tester-amdci5-11/julialang/julia-master/julia-1c1f53aaf3/share/julia/Compiler/test/inference.jl:2610 =# @inferred(g26172(Val(10))) === ntuple((_->begin #= /cache/build/tester-amdci5-11/julialang/julia-master/julia-1c1f53aaf3/share/julia/Compiler/test/inference.jl:2610 =# nothing end), 10)share/julia/Compiler/test/inference.jl:2610github100% reliable0μs average duration
- reducedim/test reductions over region: (1, 2) @test #= /cache/build/default-aws-aarch64-ci-0-5/julialang/julia-master/julia-9609207252/share/julia/test/reducedim.jl:80 =# @inferred(maximum(Areduc, dims = region)) ≈ safe_maximum(Areduc, region)share/julia/test/reducedim.jl:80github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = true, β = 0.9116137597222358 @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- subtype @test issub(Tuple{String, Array{Int, 1}}, #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-4e2ae66613/share/julia/test/subtype.jl:387 =# @UnionAll(T, Union{Tuple{T, Array{T, 1}}, Tuple{T, Array{Int, 1}}}))share/julia/test/subtype.jl:386github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Symmetric{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.Hermitian{Float32, S} where S<:(AbstractMatrix{<:Float32}), α, β)/α = 2.249619068226826, β = false/adjoint and transpose/fa = adjoint, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Compiler/AbstractInterpreter @test Base.return_types((Float64,); interp = MTOverlayInterp()) do x #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-063c75e4f2\share\julia\Compiler\test\AbstractInterpreter.jl:52 =# strangesin(x) end |> only === Union{Float64, Nothing}share/julia/Compiler/test/AbstractInterpreter.jl:51github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Hermitian{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.UnitUpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 1.0, β = -1.5703011436677354/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
- iterators @test #= /cache/build/tester-amdci4-12/julialang/julia-master/julia-45efeda5d0/share/julia/test/iterators.jl:105 =# @inferred(length(zip(cycle(1:3), 1:7))) == 7share/julia/test/iterators.jl:105github100% reliable0μs average duration
- Mmap @test length(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-22027f9401/share/julia/stdlib/v1.13/Mmap/test/runtests.jl:25 =# @inferred(mmap(file))) == 12stdlib/Mmap/test/runtests.jl:25github100% reliable0μs average duration
- LinearAlgebra/givens/Test Givens for Float64/A = [-1.0857960658790882 1.9315247496517174 1.2647102097267349 1.1742026556916878 -1.5889191900257336 -0.7026086454532181 0.2030039555997975 1.5619476000974148 -1.4427271868118405 -2.4007506605635074; 3.5468621936121627 0.8714334519273372 1.4463465390556638 -0.6702200864831347 -0.49926261477690137 0.23916098557690085 -0.37650550465771726 1.0471995812879624 0.07382263271048217 1.4430986654307356; -8.07321930213136e-17 2.1748070636029113 0.38728062963436705 0.42545318047611536 0.27308928847438074 0.9672852971882825 -1.3151508634248208 1.5890776639814477 -2.303817805347238 -1.1259190607226888; 1.964008755950009e-17 -2.102418899836922e-17 3.1615261562858024 0.2524313117173373 -1.40891021301346 -0.186230600745805 1.0670159861444652 -1.6863887669137254 -1.7738877936709276 -1.8678373903503123; -7.616411516848168e-17 2.826161886097494e-17 -1.0775254252549862e-16 1.603341042529408 0.2474461574516625 0.47335251329346656 -0.6136092887909466 -0.23320922560166338 -1.54014121308 @test_throws nothing rmul!(A, adjoint(G))stdlib/LinearAlgebra/test/givens.jl:50github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = Float64/mat_type = LinearAlgebra.SymTridiagonal/Multiplication with strided matrix/vector @test begin x = fill(1.0, n) #= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-fc8c3764a4\share\julia\stdlib\v1.13\LinearAlgebra\test\tridiag.jl:338 =# A * x ≈ Array(A) * x endstdlib/LinearAlgebra/test/tridiag.jl:338github100% reliable0μs average duration
- ranges/constant-valued ranges (issues #10391 and #29052)/with StepRange of Int64 @test #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-bca7c3467d\share\julia\test\ranges.jl:2038 =# @inferred(r / -1) == [-1, -2, -3, -4]share/julia/test/ranges.jl:2038github100% reliable1s average duration
- arrayops/CartesianIndex @test #= /cache/build/tester-amdci5-8/julialang/julia-master/julia-8418259338/share/julia/test/arrayops.jl:2191 =# @inferred(convert(Tuple{Vararg{UnitRange}}, R)) === (2:5, 3:5)share/julia/test/arrayops.jl:2191github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = true, β = 0.537041880758921 - 0.41031908142033763im @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Hermitian{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.Tridiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, α, β)/α = -0.16528162444515918 + 0.2882817654492771im, β = false/adjoint and transpose/fa = transpose, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- reduce @test #= /cache/build/tester-amdci4-12/julialang/julia-buildkite/julia-e746505b7d/share/julia/test/reduce.jl:466 =# @inferred(any((x->begin #= /cache/build/tester-amdci4-12/julialang/julia-buildkite/julia-e746505b7d/share/julia/test/reduce.jl:466 =# x > 0 end), [-3, 4, 5])) == trueshare/julia/test/reduce.jl:466github100% reliable0μs average duration
- Printf/Printf/integers @test #= /cache/build/tester-amdci4-12/julialang/julia-master/julia-90eb96fe45/share/julia/stdlib/v1.13/Printf/test/runtests.jl:656 =# Printf.@sprintf("%1x", UInt(3989525555)) == "edcb5433"stdlib/Printf/test/runtests.jl:656github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.SymTridiagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.Hermitian{Float32, S} where S<:(AbstractMatrix{<:Float32}), α, β)/α = -1.9518140263294068148525184369646012783050537109375, β = -1.9518140263294068148525184369646012783050537109375/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