Tests
- reduce @test #= C:\buildkite-agent\builds\win2k22-amdci6-7\julialang\julia-master\julia-08c87b2099\share\julia\test\reduce.jl:453 =# @inferred(all([true])) == trueshare/julia/test/reduce.jl:453github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.LowerTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, ::LinearAlgebra.UpperTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, α, β)/α = 1.0 + 0.0im, β = 2.253544312791758 + 0.46722718620908893im/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Printf/Printf/integers @test #= /cache/build/tester-amdci4-8/julialang/julia-master/julia-fe613d4129/share/julia/stdlib/v1.13/Printf/test/runtests.jl:629 =# Printf.@sprintf("%+ i", -1024) == "-1024"stdlib/Printf/test/runtests.jl:629github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::Matrix{Float64}, ::LinearAlgebra.Tridiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = -0.0385831675360484, β = 0.0/adjoint and transpose/fa = transpose, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- bitarray/map over bitarrays/map! for length 256 @test map!(~, b, b1) == map!((x->begin #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-49aecbe42d/share/julia/test/bitarray.jl:1489 =# ~x end), b, b1) == broadcast(~, b1) == bshare/julia/test/bitarray.jl:1489github100% reliable0μs average duration
- reducedim/test reductions over region: (2, 3) @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-HL2F7YQ3XH.0/build/default-honeycrisp-HL2F7YQ3XH-0/julialang/julia-master/julia-e746505b7d/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!(::Matrix{ComplexF64}, ::LinearAlgebra.Tridiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = true, β = false/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- iterators/cycle(iter, n) @test #= /cache/build/tester-amdci4-15/julialang/julia-master/julia-f8222f59ff/share/julia/test/iterators.jl:262 =# @inferred(isempty(cycle(1:0))) == #= /cache/build/tester-amdci4-15/julialang/julia-master/julia-f8222f59ff/share/julia/test/iterators.jl:262 =# @inferred(isempty(cycle(1:0, 3))) == trueshare/julia/test/iterators.jl:262github100% reliable0μs average duration
- Printf/Printf/integers @test #= /cache/build/tester-amdci4-15/julialang/julia-master/julia-056891701e/share/julia/stdlib/v1.13/Printf/test/runtests.jl:669 =# Printf.@sprintf("%20X", 305441741) == " 1234ABCD"stdlib/Printf/test/runtests.jl:669github100% reliable0μs average duration
- LinearAlgebra/bidiag/relty = BigFloat, elty = Complex{BigFloat}/uplo = U/diag @test #= /cache/build/default-aws-aarch64-ci-1-1/julialang/julia-master/julia-5d0cd43cf6/share/julia/stdlib/v1.13/LinearAlgebra/test/bidiag.jl:401 =# @inferred(diag(G, if uplo === :U 1 else -1 end))::typeof(gdv) == gevstdlib/LinearAlgebra/test/bidiag.jl:401github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Hermitian{Int64, S} where S<:(AbstractMatrix{<:Int64}), ::LinearAlgebra.Bidiagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = -0.18709749243243076, β = -0.18709749243243076 @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.Bidiagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = 1.202990996155259839639484198414720594882965087890625, β = false/adjoint and transpose/fa = adjoint, fb = adjoint @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{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 0.9146365326667688, β = 0.9146365326667688/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- misc @test lock(l) do #= /cache/build/default-aws-aarch64-ci-1-1/julialang/julia-master/julia-50ae2f28dc/share/julia/test/misc.jl:113 =# success[] = true #= /cache/build/default-aws-aarch64-ci-1-1/julialang/julia-master/julia-50ae2f28dc/share/julia/test/misc.jl:114 =# return :foo end === :fooshare/julia/test/misc.jl:112github100% reliable0μs average duration
- offsetarray @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-bd320948bb/share/julia/test/offsetarray.jl:422 =# @invoke(append!(v2::AbstractVector, (v for v = [2, 1])::Any)) === v2share/julia/test/offsetarray.jl:422github100% reliable0μs average duration
- Compiler/inference @test only(Base.return_types((Int32,)) do x #= /cache/build/tester-amdci5-11/julialang/julia-master/julia-fa23f6e7e5/share/julia/Compiler/test/inference.jl:5316 =# Val(applicable(fapplicable, 1, x)) end) === Val{false}share/julia/Compiler/test/inference.jl:5316github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = Float32/mat_type = LinearAlgebra.Tridiagonal/diag @test #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-080bf23d06\share\julia\stdlib\v1.13\LinearAlgebra\test\tridiag.jl:288 =# @inferred(diag(A, -1))::typeof(d) == dlstdlib/LinearAlgebra/test/tridiag.jl:288github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = ComplexF64/mat_type = LinearAlgebra.Tridiagonal/setindex! @test begin A[3, 2] = A[3, 2] #= /cache/build/tester-amdci5-14/julialang/julia-master/julia-0781455a63/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:273 =# A == fA endstdlib/LinearAlgebra/test/tridiag.jl:273github100% reliable0μs average duration
- LinearAlgebra/dense/For A containing ComplexF64/For b containing Float64/Test nullspace @test size(#= /cache/build/tester-amdci4-9/julialang/julia-master/julia-f0bbef954f/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:129 =# @inferred(nullspace((b[1, :])'))) == (2, 1)stdlib/LinearAlgebra/test/dense.jl:129github100% reliable0μs average duration
- LinearAlgebra/dense/For A containing Float64/For b containing Float64/Test nullspace @test size(#= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-HL2F7YQ3XH.0/build/default-honeycrisp-HL2F7YQ3XH-0/julialang/julia-master/julia-0c4003be4d/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:129 =# @inferred(nullspace((b[1, :])'))) == (2, 1)stdlib/LinearAlgebra/test/dense.jl:129github100% reliable0μs average duration