Tests
- offsetarray @test #= C:\buildkite-agent\builds\win2k22-amdci6-7\julialang\julia-master\julia-c66af9f451\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
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Hermitian{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = -0.39705865769997156, β = false/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
- LinearAlgebra/tridiag/elty = Float64/tril/triu @test #= /cache/build/tester-amdci4-15/julialang/julia-master/julia-c927eb3480/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:166 =# @inferred(triu(Tridiagonal(dl, d, du), 2)) == Tridiagonal(zerosdl, zerosd, zerosdu)stdlib/LinearAlgebra/test/tridiag.jl:166github100% reliable0μs average duration
- LinearAlgebra/structuredbroadcast/broadcast[!] over combinations of scalars, structured matrices, and dense vectors/matrices @test begin Q = broadcast(*, s, X) #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-0a66e87615\share\julia\stdlib\v1.13\LinearAlgebra\test\structuredbroadcast.jl:30 =# typeof(Q) == typeof(X) && Q == broadcast(*, s, fX) endstdlib/LinearAlgebra/test/structuredbroadcast.jl:30github100% reliable0μs average duration
- LinearAlgebra/triangular3/elty1 = Complex{BigFloat}/(t1, uplo1) = (LinearAlgebra.UpperTriangular, :U) @test sqrt(A1) |> (t->begin #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-5fe40c6d34/share/julia/stdlib/v1.13/LinearAlgebra/test/testtriag.jl:285 =# (t * t)::typeof(t) end) ≈ A1stdlib/LinearAlgebra/test/testtriag.jl:285github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Symmetric{Float64, S} where S<:(AbstractMatrix{<:Float64}), α, β)/α = 0.10014156123741201, β = false @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- abstractarray/tests from PR 31644/Base.Iterators.Filter{Main.Test79Main_abstractarray.var"#124#125", Base.Generator{Vector{Any}, typeof(identity)}} @test vec(stack(data)) == vcat_expectedshare/julia/test/abstractarray.jl:1852github100% reliable0μs average duration
- Compiler/inference @test setfield!_tfunc(Const(#= /cache/build/tester-amdci4-8/julialang/julia-master/julia-e2eef343d2/share/julia/Compiler/test/inference.jl:1830 =# @__MODULE__()), Int, Int) === Union{}share/julia/Compiler/test/inference.jl:1830github100% reliable0μs average duration
- reducedim/test reductions over region: (1, 3) @test #= /cache/build/tester-amdci4-12/julialang/julia-master/julia-2873cdde7c/share/julia/test/reducedim.jl:82 =# @inferred(count(Breduc, dims = region)) ≈ safe_count(Breduc, region)share/julia/test/reducedim.jl:82github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.SymTridiagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = 0.36266983304934397, β = false/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!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = -1.0674672440177468, β = -1.0674672440177468 @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- ranges/constant-valued ranges (issues #10391 and #29052)/with StepRangeLen of Int32 @test #= C:\buildkite-agent\builds\win2k22-amdci6-1\julialang\julia-master\julia-57eded369f\share\julia\test\ranges.jl:2045 =# @inferred(-1.0 .* reverse(r)) == [-4, -3, -2, -1]share/julia/test/ranges.jl:2045github100% reliable0μs average duration
- loading/project & manifest import @test !(#= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-macmini-x64-6.0/build/default-macmini-x64-6-0/julialang/julia-master/julia-5fe40c6d34/share/julia/test/loading.jl:319 =# @isdefined(Bar))share/julia/test/loading.jl:319github100% reliable0μs average duration
- syntax @test !(isdefined(#= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-14bbb4af90\share\julia\test\syntax.jl:1941 =# @__MODULE__(), :_var_30877))share/julia/test/syntax.jl:1941github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Hermitian{Float32, S} where S<:(AbstractMatrix{<:Float32}), ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = true, β = 0.12135977173639585/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
- core @test !(#= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-macmini-x64-6.0/build/default-macmini-x64-6-0/julialang/julia-master/julia-9cd212b64c/share/julia/test/core.jl:6100 =# @isdefined(cos))share/julia/test/core.jl:6100github100% reliable0μs average duration
- reducedim/test reductions over region: (1, 2) @test #= C:\buildkite-agent\builds\win2k22-amdci6-7\julialang\julia-master\julia-0a66e87615\share\julia\test\reducedim.jl:84 =# @inferred(sum(abs, Areduc, dims = region)) ≈ safe_sumabs(Areduc, region)share/julia/test/reducedim.jl:84github100% reliable0μs average duration
- Compiler/irpasses/effect-freeness computation for array allocation/9223372036854775807, 4, Nothing @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-ac7debafc5/share/julia/Compiler/test/irpasses.jl:1105 =# @eval !(fully_eliminated() do #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-ac7debafc5/share/julia/Compiler/test/irpasses.jl:1106 =# Array{$T, $N}(undef, $(dims...)) #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-ac7debafc5/share/julia/Compiler/test/irpasses.jl:1107 =# nothing end)share/julia/Compiler/test/irpasses.jl:1105github100% reliable0μs average duration
- Printf/Printf/%p @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-macmini-x64-4.0/build/default-macmini-x64-4-0/julialang/julia-master/julia-89271dc5a8/share/julia/stdlib/v1.13/Printf/test/runtests.jl:14 =# @sprintf("%-20p", C_NULL) == "0x0000000000000000 "stdlib/Printf/test/runtests.jl:14github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Symmetric{BigFloat, S} where S<:(AbstractMatrix{<:BigFloat}), α, β)/α = -0.550843514499490982672114114393480122089385986328125, β = -0.550843514499490982672114114393480122089385986328125/adjoint and transpose/fa = adjoint, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration