Tests
- syntax/all-underscore varargs on the rhs @test ncalls_in_lowered(quote #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-60a9f6992d/share/julia/test/syntax.jl:2837 =# (a, _...) = b end, GlobalRef(Base, :rest)) == 0share/julia/test/syntax.jl:2837github100% reliable0μs average duration
- broadcast @test let z = 1 #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-eeb64a0ab4/share/julia/test/broadcast.jl:432 =# A = broadcast!((()->begin #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-eeb64a0ab4/share/julia/test/broadcast.jl:432 =# z += 1 end), zeros(2)) #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-eeb64a0ab4/share/julia/test/broadcast.jl:432 =# A[1] != A[2] endshare/julia/test/broadcast.jl:432github100% reliable0μs average duration
- tuple/mapping/2 arguments @test map(foo, longtuple, longtuple) === ntuple((i->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-f55bb35925/share/julia/test/tuple.jl:273 =# 2i end), 20)share/julia/test/tuple.jl:273github100% reliable0μs average duration
- reducedim/test reductions over region: 3 @test #= /cache/build/tester-amdci5-14/julialang/julia-master/julia-08c87b2099/share/julia/test/reducedim.jl:85 =# @inferred(sum(abs2, Areduc, dims = region)) ≈ safe_sumabs2(Areduc, region)share/julia/test/reducedim.jl:85github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = 0.57820728942861665533570203479030169546604156494140625, β = 0.57820728942861665533570203479030169546604156494140625/α = 0 ignores A .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Compiler/inline/is_declared_[no]inline @test is_declared_inline(only(methods(function f(x) #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-3360a44a4d/share/julia/Compiler/test/inline.jl:285 =# #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-3360a44a4d/share/julia/Compiler/test/inline.jl:285 =# #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-3360a44a4d/share/julia/Compiler/test/inline.jl:285 =# @inline #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-3360a44a4d/share/julia/Compiler/test/inline.jl:285 =# x end)))share/julia/Compiler/test/inline.jl:285github100% reliable0μs average duration
- Compiler/inference/inter-procedural conditional constraint propagation @test Base.return_types((Union{Nothing, Int},)) do a #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XC9YQX9HH2.0/build/default-honeycrisp-XC9YQX9HH2-0/julialang/julia-master/julia-2873cdde7c/share/julia/Compiler/test/inference.jl:2065 =# eqnothing(a) && return 0 #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XC9YQX9HH2.0/build/default-honeycrisp-XC9YQX9HH2-0/julialang/julia-master/julia-2873cdde7c/share/julia/Compiler/test/inference.jl:2066 =# return a end == Any[Int]share/julia/Compiler/test/inference.jl:2064github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Symmetric{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::Matrix{Int64}, α, β)/α = 0.6006596873112744, β = 0.6006596873112744/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- iterators @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-8fde0214c8/share/julia/test/iterators.jl:498 =# @inferred(length(product(1:2, 1:10, 4:6))) == 60share/julia/test/iterators.jl:498github100% reliable0μs average duration
- reduce/concrete eval `[any|all](f, itr::Tuple)` @test Base.return_types() do #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XC9YQX9HH2.0/build/default-honeycrisp-XC9YQX9HH2-0/julialang/julia-master/julia-0e5f28168c/share/julia/test/reduce.jl:732 =# Val(any((in)((:one, :two, :three)), (:four, :three))) end |> only == Val{true}share/julia/test/reduce.jl:731github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::Matrix{Int32}, ::LinearAlgebra.UnitLowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = true, β = -0.181200299509054474356162245385348796844482421875/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
- fastmath/issue #10544 @test #= /cache/build/tester-amdci5-9/julialang/julia-master/julia-9ce1e24872/share/julia/test/fastmath.jl:265 =# @fastmath(a[1, 2] ^= 2.0) ≈ (b[1, 2] ^= 2.0)share/julia/test/fastmath.jl:265github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.UnitLowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = true, β = 0.86752716537228480309096312339534051716327667236328125/β = 0 ignores C .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- loading @test let ct = current_task() #= C:\buildkite-agent\builds\win2k22-amdci6-7\julialang\julia-master\julia-7024743320\share\julia\test\test_sourcepath.jl:9 =# yieldto(#= C:\buildkite-agent\builds\win2k22-amdci6-7\julialang\julia-master\julia-7024743320\share\julia\test\test_sourcepath.jl:9 =# @task(yieldto(ct, Base.source_path()))) end === ""share/julia/test/test_sourcepath.jl:8github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.Tridiagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = -0.59207098914034295145114583647227846086025238037109375, β = -0.59207098914034295145114583647227846086025238037109375/adjoint and transpose/fa = transpose, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitLowerTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, α, β)/α = 0.5633610248206886 - 0.19030298586160985im, β = 0.5633610248206886 - 0.19030298586160985im/adjoint and transpose/fa = transpose, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Tridiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Hermitian{Float32, S} where S<:(AbstractMatrix{<:Float32}), α, β)/α = 0.8109172696296565, β = 0.0/adjoint and transpose/fa = identity, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- rounding/vectorized trunc/round/floor/ceil with digits/base argument @test f.(a[:, :, 1], digits = 2) == map((x->begin #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-8fde0214c8/share/julia/test/rounding.jl:337 =# f(x, digits = 2) end), a[:, :, 1])share/julia/test/rounding.jl:337github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Symmetric{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.Hermitian{Float32, S} where S<:(AbstractMatrix{<:Float32}), α, β)/α = 1.0 + 0.0im, β = 1.5990045314263879 + 1.2636308378027543im/adjoint and transpose/fa = transpose, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/qr/eltya = Float32/eltyb = Int64/Matmul with QR factorizations @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-f0b34608fe/share/julia/stdlib/v1.13/LinearAlgebra/test/qr.jl:204 =# abs(x) < ε * norm(a) end), d[n1 + 1:var"end", :])stdlib/LinearAlgebra/test/qr.jl:204github100% reliable0μs average duration