Tests
- Dates/ranges @test all((x->begin #= /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-b00cebfc7f/share/julia/stdlib/v1.13/Dates/test/ranges.jl:562 =# findall((in)(x), x) == [1:length(x);] end), drs[1:4])stdlib/Dates/test/ranges.jl:562github100% reliable0μs average duration
- Compiler/effects @test Base.infer_effects((Any,)) do x #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-d17b0e143d\share\julia\Compiler\test\effects.jl:157 =# taint = Ref{Any}(x) #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-d17b0e143d\share\julia\Compiler\test\effects.jl:158 =# throw(taint) end |> Compiler.is_consistentshare/julia/Compiler/test/effects.jl:156github100% reliable0μs average duration
- LinearAlgebra/diagonal/relty = Float32, elty = ComplexF32/Binary operations @test begin r = Matrix(D) * vv #= /cache/build/default-aws-aarch64-ci-1-4/julialang/julia-master/julia-470ff4860a/share/julia/stdlib/v1.13/LinearAlgebra/test/diagonal.jl:286 =# mul!(vvv, D, vv) ≈ r ≈ vvv endstdlib/LinearAlgebra/test/diagonal.jl:286github100% reliable0μs average duration
- reduce @test Base.mapfoldl((x->begin #= /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-df1b07ec4a/share/julia/test/reduce.jl:22 =# x ⊻ true end), &, [true false true false false]) == falseshare/julia/test/reduce.jl:22github100% reliable0μs average duration
- staged @test first(only(code_typed((Int, Int)) do x, y #= /cache/build/tester-amdci5-11/julialang/julia-master/julia-1c1f53aaf3/share/julia/test/staged.jl:449 =# #= /cache/build/tester-amdci5-11/julialang/julia-master/julia-1c1f53aaf3/share/julia/test/staged.jl:449 =# @inline overdub54341(x, y) end)) isa Core.CodeInfoshare/julia/test/staged.jl:449github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.SymTridiagonal{Float32, V} where V<:AbstractVector{Float32}, ::Matrix{Int64}, α, β)/α = true, β = 0.0 + 0.0im/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.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = 0.24599400520824805, β = 0.0/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!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = 1.0, β = 2.790883332362214/α = 0 ignores A .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- corelogging/Logging/Programmatically defined levels @test #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-77f264f07a/share/julia/test/corelogging.jl:43 =# @logmsg level "X"share/julia/test/corelogging.jl:43github100% reliable0μs average duration
- Compiler/irpasses/effect-freeness computation for array allocation/-1, 10, Any @test #= /cache/build/tester-amdci5-14/julialang/julia-master/julia-a368ab65ce/share/julia/Compiler/test/irpasses.jl:1105 =# @eval !(fully_eliminated() do #= /cache/build/tester-amdci5-14/julialang/julia-master/julia-a368ab65ce/share/julia/Compiler/test/irpasses.jl:1106 =# Array{$T, $N}(undef, $(dims...)) #= /cache/build/tester-amdci5-14/julialang/julia-master/julia-a368ab65ce/share/julia/Compiler/test/irpasses.jl:1107 =# nothing end)share/julia/Compiler/test/irpasses.jl:1105github100% reliable0μs average duration
- Printf/Printf/integers @test #= /cache/build/default-aws-aarch64-ci-0-3/julialang/julia-master/julia-ed3fccc0be/share/julia/stdlib/v1.13/Printf/test/runtests.jl:758 =# Printf.@sprintf("%20.0i", 1024) == " 1024"stdlib/Printf/test/runtests.jl:758github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = Float64/tril/triu @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-1b98f1e44e/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:147 =# @inferred(tril!(copy(SymTridiagonal(d, dl)), 1)) == Tridiagonal(dl, d, dl)stdlib/LinearAlgebra/test/tridiag.jl:147github100% reliable0μs average duration
- reduce/sum(abs, []) @test #= /cache/build/tester-amdci4-15/julialang/julia-master/julia-d6fdbf5212/share/julia/test/reduce.jl:201 =# @inferred(sum(abs, Float64[])) === 0.0share/julia/test/reduce.jl:201github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 0.1579765931537096 - 0.23146652648757765im, β = 0.0 + 0.0im/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/dense/For A containing Float32/For b containing Float32/Test nullspace @test size(#= /cache/build/tester-amdci4-13/julialang/julia-master/julia-080f9b21d7/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:131 =# @inferred(nullspace(transpose(a[:, 1])))) == (n, n - 1)stdlib/LinearAlgebra/test/dense.jl:131github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::Matrix{Int64}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = 1.0, β = 0.2478137904641742/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- iterators @test #= /cache/build/tester-amdci5-12/julialang/julia-master/julia-1a91678073/share/julia/test/iterators.jl:516 =# @inferred(eltype(flatten(([1, 2], [3.0, 4.0])))) == Realshare/julia/test/iterators.jl:516github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Symmetric{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.UnitLowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = 1.226308350749189202133493381552398204803466796875, β = 0.0/adjoint and transpose/fa = identity, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/bidiag/relty = BigFloat, elty = Complex{BigFloat}/uplo = U/diag @test isempty(#= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-54197132f5\share\julia\stdlib\v1.13\LinearAlgebra\test\bidiag.jl:395 =# @inferred(diag(T, -n - 1)))stdlib/LinearAlgebra/test/bidiag.jl:395github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = -0.6014749460209168 + 0.02351442820549326im, β = false/adjoint and transpose/fa = transpose, fb = adjoint @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration