Tests
- bitarray/map over bitarrays/map! for length 64 @test map!(!=, b, b1, b2) == map!(((x, y)->begin #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-70c2516859\share\julia\test\bitarray.jl:1510 =# x != y end), b, b1, b2) == (b1 .!= b2) == bshare/julia/test/bitarray.jl:1510github100% reliable0μs average duration
- triplequote @test "foo\n\tbar\n" == "foo$(nl)\tbar$(nl)"share/julia/test/triplequote.jl:59github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = -2.251247817974333, β = false @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- syntax @test isconst(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-390640a6e6/share/julia/test/syntax.jl:3898 =# @__MODULE__(), :aconstassign)share/julia/test/syntax.jl:3898github100% reliable0μs average duration
- reducedim/test reductions over region: (1, 2, 3) @test isequal(#= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZQ07RJYVY.0/build/default-grannysmith-C07ZQ07RJYVY-0/julialang/julia-master/julia-9b48a26c98/share/julia/test/reducedim.jl:95 =# @inferred(count(!, Breduc, dims = region, init = Int16(0))), safe_count(.!(Breduc), region) .% Int16)share/julia/test/reducedim.jl:94github100% reliable0μs average duration
- misc/@kwdef constructor line info with static parameter @test method.file === Symbol(#= /cache/build/tester-amdci5-8/julialang/julia-master/julia-ec424d47ff/share/julia/test/misc.jl:1383 =# @__FILE__())share/julia/test/misc.jl:1383github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::Matrix{Float64}, ::LinearAlgebra.Bidiagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, α, β)/α = -0.054406402426949822259683031688837218098342418670654296875, β = false/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
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Hermitian{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.Hermitian{ComplexF64, S} where S<:(AbstractMatrix{<:ComplexF64}), α, β)/α = 1.0 + 0.0im, 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/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitLowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::Matrix{ComplexF32}, α, β)/α = 1.0 + 0.0im, β = -1.0461303260884254 - 0.1874246728615606im/adjoint and transpose/fa = transpose, fb = transpose @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, α, β)/α = -1.0218030814778079 - 0.8758831317682632im, β = -1.0218030814778079 - 0.8758831317682632im/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
- Compiler/inference @test Base.return_types((Union{Int, Nothing},)) do a #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-417125616f/share/julia/Compiler/test/inference.jl:5096 =# if compilerbarrier(:conditional, a isa Int) #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-417125616f/share/julia/Compiler/test/inference.jl:5098 =# return a else #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-417125616f/share/julia/Compiler/test/inference.jl:5100 =# return nothing end end |> only === Union{Int, Nothing}share/julia/Compiler/test/inference.jl:5095github100% reliable0μs average duration
- Printf/Printf/strings @test #= C:\buildkite-agent\builds\win2k22-amdci6-7\julialang\julia-master\julia-92d2c59e53\share\julia\stdlib\v1.13\Printf\test\runtests.jl:251 =# Printf.@sprintf("%20.5s", "Hallo heimur") == " Hallo"stdlib/Printf/test/runtests.jl:251github100% reliable0μs average duration
- show @test endswith(repr(:(#= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XC9YQX9HH2.0/build/default-honeycrisp-XC9YQX9HH2-0/julialang/julia-master/julia-af9b629171/share/julia/test/show.jl:1220 =# a.b.@c(x, y))), "a.b.@c x y)")share/julia/test/show.jl:1220github100% reliable0μs average duration
- Compiler/inference/branching on conditional object @test Base.infer_return_type((Union{Nothing, Int},)) do a #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-9b48a26c98/share/julia/Compiler/test/inference.jl:2171 =# cond = a === nothing #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-9b48a26c98/share/julia/Compiler/test/inference.jl:2172 =# r1 = if cond 0 else a end #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-9b48a26c98/share/julia/Compiler/test/inference.jl:2173 =# a = 0 #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-9b48a26c98/share/julia/Compiler/test/inference.jl:2174 =# r2 = if cond a else 1 end #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-9b48a26c98/share/julia/Compiler/test/inference.jl:2175 =# return (r1, r2) end == Tuple{Int, Int}share/julia/Compiler/test/inference.jl:2170github100% reliable0μs average duration
- LinearAlgebra/givens/Test Givens for ComplexF32/A = ComplexF32[0.3597729f0 - 1.0627397f0im 0.25805283f0 + 0.68698555f0im -1.2268106f0 - 1.5590754f0im -1.9611565f0 + 1.424196f0im -0.5316312f0 + 1.5790919f0im -2.623457f0 - 0.49253884f0im 0.37155086f0 + 1.4553785f0im 0.99562424f0 - 0.72924596f0im -1.0101227f0 + 0.4575853f0im -0.65706396f0 - 0.15356919f0im; -0.49531287f0 + 1.5242742f0im -0.3614345f0 + 0.55151504f0im 1.5179408f0 + 0.26294214f0im 0.22873108f0 - 0.5292352f0im -0.63017607f0 + 0.61582595f0im -0.5104747f0 + 2.6663263f0im -1.328482f0 - 0.16387904f0im 0.41667038f0 + 0.70542425f0im 0.50624824f0 - 1.1614153f0im -0.44083053f0 + 1.7906213f0im; 1.2952017f0 - 0.2538593f0im -0.33370638f0 - 0.11770167f0im 0.26806515f0 - 0.5805357f0im 1.0853783f0 + 0.15896903f0im -0.39344427f0 + 1.6419463f0im -1.0089265f0 + 0.66416043f0im -0.15742266f0 + 1.1606607f0im 0.2988597f0 + 0.41995513f0im 0.52047294f0 - 0.6598324f0im -1.2709736f0 - 1.2644807f0im; 0.4298359f0 + 0.5202205f0im -0.34497702f0 + 1.3382868f0im 0.08355645f0 - 1.1 @test abs.(A) ≈ abs.((hessenberg(Ac)).H)stdlib/LinearAlgebra/test/givens.jl:51github100% reliable0μs average duration
- bitarray/map over bitarrays/map! for length 127 @test map!(<=, b, b1, b2) == map!(((x, y)->begin #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZM05NJYVY.0/build/default-grannysmith-C07ZM05NJYVY-0/julialang/julia-master/julia-02a228ed1c/share/julia/test/bitarray.jl:1506 =# x <= y end), b, b1, b2) == (b1 .<= b2) == bshare/julia/test/bitarray.jl:1506github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Int32, S} where S<:AbstractMatrix{Int32}, α, β)/α = -0.91182663140697195469641656018211506307125091552734375, β = -0.91182663140697195469641656018211506307125091552734375/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!(::Matrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.Diagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, α, β)/α = -0.19686385017546273 + 0.35135903200629187im, β = 0.0 + 0.0im/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
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.UnitUpperTriangular{Int32, S} where S<:AbstractMatrix{Int32}, α, β)/α = 1.8977121260090878962500937632285058498382568359375, β = 1.8977121260090878962500937632285058498382568359375/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Tridiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = -1.5276727700800161, β = false/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