Tests
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.Diagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, α, β)/α = -3.1907340919572182 - 0.28764726165884646im, β = -3.1907340919572182 - 0.28764726165884646im @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- reflection/Base.infer_exception_type[s] @test begin Base.infer_exception_type(Core.Intrinsics.mul_int, ()) #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-75d5588d46/share/julia/test/reflection.jl:1189 =# Base.infer_exception_types(Core.Intrinsics.mul_int, ()) #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-75d5588d46/share/julia/test/reflection.jl:1189 =# true endshare/julia/test/reflection.jl:1189github100% reliable0μs average duration
- dict/consistency of dict iteration order (issue #56841) @test all(zip(dict, keys(dict), values(dict), pairs(dict))) do (d, k, v, p) #= C:\buildkite-agent\builds\win2k22-amdci6-1\julialang\julia-master\julia-a3c48d7427\share\julia\test\dict.jl:793 =# d == p && (first(d) == first(p) == k && last(d) == last(p) == v) endshare/julia/test/dict.jl:792github100% reliable0μs average duration
- missing/@coalesce @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-561584579f/share/julia/test/missing.jl:593 =# @coalesce() === missingshare/julia/test/missing.jl:593github100% reliable0μs average duration
- docs @test #= C:\buildkite-agent\builds\win2k22-amdci6-4\julialang\julia-master\julia-ae93008e08\share\julia\test\docs.jl:1331 =# @doc(dynamic_test(::String)) == "test 2 Tuple{String}"share/julia/test/docs.jl:1331github100% reliable0μs average duration
- ranges/ranges/indexing @test #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-0a66e87615\share\julia\test\ranges.jl:357 =# @inferred((1.0:5)[1:4]) === 1.0:4share/julia/test/ranges.jl:357github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 1.0, β = -1.5070145604584086/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
- atomics/Main.Test15Main_atomics.ARefxy{String}("hi", "bye") @test_throws nothing isdefined(r, :x, :u)share/julia/test/atomics.jl:163github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 3.053778444514135603782278849394060671329498291015625, β = 0.0 @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- docs @test #= /cache/build/default-aws-aarch64-ci-0-1/julialang/julia-master/julia-1ce3d6c2c6/share/julia/test/docs.jl:1246 =# @var(#= /cache/build/default-aws-aarch64-ci-0-1/julialang/julia-master/julia-1ce3d6c2c6/share/julia/test/docs.jl:1246 =# @inline()) == xshare/julia/test/docs.jl:1246github100% reliable0μs average duration
- LinearAlgebra/generic/opnorm @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-R17H3W25T9.0/build/default-honeycrisp-R17H3W25T9-0/julialang/julia-master/julia-f1ed02d059/share/julia/stdlib/v1.13/LinearAlgebra/test/generic.jl:258 =# @inferred(opnorm(fill(1im, m, 1))) ≈ sqrt(m)stdlib/LinearAlgebra/test/generic.jl:258github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.LowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = 1.0 + 0.0im, β = -0.7969492449177523 - 0.8310668671231551im/adjoint and transpose/fa = identity, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = 0.2034180431601081140424724935655831359326839447021484375, β = 0.2034180431601081140424724935655831359326839447021484375 @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- numbers/constructor inferability for AbstractFloat @test all((R->begin #= C:\buildkite-agent\builds\win2k22-amdci6-1\julialang\julia-master\julia-7733331728\share\julia\test\numbers.jl:2997 =# R <: T end), Base.return_types(T))share/julia/test/numbers.jl:2997github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Symmetric{Int64, S} where S<:(AbstractMatrix{<:Int64}), α, β)/α = 0.54784212405939969325885385842411778867244720458984375, β = false/α = 0 ignores A .= 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{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = -1.1022694828279593348696607790770940482616424560546875, β = -1.1022694828279593348696607790770940482616424560546875 @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Int64}, ::Matrix{Int64}, ::LinearAlgebra.UnitLowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = true, β = 6/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!(::Matrix{Float64}, ::Matrix{Float32}, ::LinearAlgebra.UnitLowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = true, β = 0.6555105744025009/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
- Compiler/irpasses/effect-freeness computation for array allocation/3, 2 @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-e2eef343d2/share/julia/Compiler/test/irpasses.jl:1095 =# @eval fully_eliminated() do #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZM05NJYVY.0/build/default-grannysmith-C07ZM05NJYVY-0/julialang/julia-master/julia-e2eef343d2/share/julia/Compiler/test/irpasses.jl:1096 =# Array{Int, $N}(undef, $(dims...)) #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZM05NJYVY.0/build/default-grannysmith-C07ZM05NJYVY-0/julialang/julia-master/julia-e2eef343d2/share/julia/Compiler/test/irpasses.jl:1097 =# nothing endshare/julia/Compiler/test/irpasses.jl:1095github100% reliable0μs average duration
- Printf/Printf/strings @test #= C:\buildkite-agent\builds\win2k22-amdci6-1\julialang\julia-master\julia-ae93008e08\share\julia\stdlib\v1.13\Printf\test\runtests.jl:271 =# Printf.@sprintf("%#8.3s", "test") == " \"te"stdlib/Printf/test/runtests.jl:271github100% reliable0μs average duration