Tests
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = -0.31499897093408147 - 0.6246777307939974im, β = -0.31499897093408147 - 0.6246777307939974im/adjoint and transpose/fa = adjoint, fb = identity @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.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 0.9153499626407582, β = 0.9153499626407582/β = 0 ignores C .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- Compiler/inline/is_declared_[no]inline @test is_declared_noinline(only(methods() do x #= /cache/build/tester-amdci4-8/julialang/julia-master/julia-6d83987359/share/julia/Compiler/test/inline.jl:291 =# #= /cache/build/tester-amdci4-8/julialang/julia-master/julia-6d83987359/share/julia/Compiler/test/inline.jl:291 =# @noinline #= /cache/build/tester-amdci4-8/julialang/julia-master/julia-6d83987359/share/julia/Compiler/test/inline.jl:291 =# x end))share/julia/Compiler/test/inline.jl:291github100% reliable0μs average duration
- LinearAlgebra/adjtrans/Adjoint and Transpose basic AbstractArray functionality/setindex! methods @test begin wZ = Adjoint(copy(complexintmatmat)) #= /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-26efc09935/share/julia/stdlib/v1.13/LinearAlgebra/test/adjtrans.jl:235 =# wZ === setindex!(wZ, Adjoint([13im 14im]), 3, 1) && wZ == setindex!(copy(acomplexintmatmat), hcat([-13im, -14im]), 3, 1) endstdlib/LinearAlgebra/test/adjtrans.jl:234github100% reliable0μs average duration
- Compiler/inference @test any((#= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-08ed7de78e\share\julia\Compiler\test\inference.jl:6295 =# @nospecialize(x)->begin #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-08ed7de78e\share\julia\Compiler\test\inference.jl:6295 =# Meta.isexpr(x, :invoke_modify) end), src.code)share/julia/Compiler/test/inference.jl:6295github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::Matrix{Float32}, α, β)/α = -0.9401162704603989, β = false/adjoint and transpose/fa = adjoint, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UnitLowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 0.07646462692602113, β = false/α = 0 ignores A .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- InteractiveUtils @test_throws nothing sprint((io->begin #= C:\buildkite-agent\builds\win2k22-amdci6-2\julialang\julia-master\julia-0360723c4b\share\julia\stdlib\v1.13\InteractiveUtils\test\runtests.jl:400 =# code_native(io, f_broken_code, (), dump_module = true) end))stdlib/InteractiveUtils/test/runtests.jl:400github100% reliable0μs average duration
- fastmath/basic arithmetic @test #= C:\buildkite-agent\builds\win2k22-amdci6-7\julialang\julia-master\julia-916fe7d35d\share\julia\test\fastmath.jl:77 =# @fastmath(zero + one + two) ≈ zero + one + twoshare/julia/test/fastmath.jl:77github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = true, β = -0.09105934166053133/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
- Printf/Printf/integers @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZM05NJYVY.0/build/default-grannysmith-C07ZM05NJYVY-0/julialang/julia-master/julia-54a58c0a9f/share/julia/stdlib/v1.13/Printf/test/runtests.jl:618 =# Printf.@sprintf("% u", 1024) == " 1024"stdlib/Printf/test/runtests.jl:618github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Hermitian{Int64, S} where S<:(AbstractMatrix{<:Int64}), ::LinearAlgebra.Hermitian{Float64, S} where S<:(AbstractMatrix{<:Float64}), α, β)/α = 1.0, β = -0.281682209899683788645319282295531593263149261474609375/adjoint and transpose/fa = transpose, fb = transpose @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable1s average duration
- Compiler/inference @test Base.infer_return_type((Any,)) do a #= /cache/build/default-aws-aarch64-ci-1-3/julialang/julia-master/julia-3a95e31798/share/julia/Compiler/test/inference.jl:4227 =# callsig_backprop_invalidation_outer(a) end ≠ Intshare/julia/Compiler/test/inference.jl:4225github100% reliable0μs average duration
- docs @test "t_docs_abc" in string.(accessible(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-buildkite/julia-e746505b7d/share/julia/test/docs.jl:1474 =# @__MODULE__()))share/julia/test/docs.jl:1474github100% reliable0μs average duration
- subtype @test DataType isa #= C:\buildkite-agent\builds\win2k22-amdci6-6\julialang\julia-master\julia-f8222f59ff\share\julia\test\subtype.jl:531 =# @UnionAll(T <: Type, Type{T})share/julia/test/subtype.jl:531github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = 1.0, β = 0.4521790684275917/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/bidiag/relty = Float64, elty = Float64/getindex, setindex!, size, and similar @test begin clbd[1, 2] = 0 #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-54b2bbcb48/share/julia/stdlib/v1.13/LinearAlgebra/test/bidiag.jl:101 =# clbd == lbd endstdlib/LinearAlgebra/test/bidiag.jl:101github100% reliable0μs average duration
- Pkg/Pkg/new.jl/Pkg.status @test any((l->begin #= C:\buildkite-agent\builds\win2k22-amdci6-2\julialang\julia-master\julia-01798fa6eb\share\julia\stdlib\v1.13\Pkg\test\new.jl:2608 =# occursin(r"\[d6f4376e\] - Markdown", l) end), statuslines)stdlib/Pkg/test/new.jl:2608github100% reliable0μs average duration
- bitarray/map over bitarrays/map! for length 6400 @test map!(<, b, b1, b2) == map!(((x, y)->begin #= /cache/build/tester-amdci4-12/julialang/julia-master/julia-79b39a5eda/share/julia/test/bitarray.jl:1505 =# x < y end), b, b1, b2) == (b1 .< b2) == bshare/julia/test/bitarray.jl:1505github100% reliable0μs average duration
- LinearAlgebra/bidiag/relty = Int64, elty = Int64/uplo = U/diag @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-226a718e2a/share/julia/stdlib/v1.13/LinearAlgebra/test/bidiag.jl:392 =# @inferred(diag(T))::typeof(dv) == dvstdlib/LinearAlgebra/test/bidiag.jl:392github100% reliable0μs average duration