Tests
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Hermitian{Int64, S} where S<:(AbstractMatrix{<:Int64}), ::Matrix{ComplexF32}, α, β)/α = -1.8443476015093407 + 0.5957802186743784im, β = -1.8443476015093407 + 0.5957802186743784im/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, α, β)/α = -0.8363811453056075873035979384439997375011444091796875, β = -0.8363811453056075873035979384439997375011444091796875 @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/bidiag/relty = Int64, elty = Complex{Int64}/uplo = U/triu and tril @test_throws nothing triu!(bidiagcopy(dv, ev, :U), -n)stdlib/LinearAlgebra/test/bidiag.jl:225github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::Matrix{ComplexF64}, ::LinearAlgebra.UnitLowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, α, β)/α = true, β = 0.0 + 0.0im/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{Float64}, ::Matrix{Float64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 0.04046995577353876, β = 0.0/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
- core @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XC9YQX9HH2.0/build/default-honeycrisp-XC9YQX9HH2-0/julialang/julia-master/julia-b54d37e0e9/share/julia/test/core.jl:8438 =# @inferred(g56692()) == "true"share/julia/test/core.jl:8438github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.Diagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.Diagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = -1.6071278641024669 + 0.41858460623431687im, β = false @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() do #= /cache/build/tester-amdci5-11/julialang/julia-master/julia-14bbb4af90/share/julia/Compiler/test/inference.jl:5087 =# x = compilerbarrier(:const, 42) #= /cache/build/tester-amdci5-11/julialang/julia-master/julia-14bbb4af90/share/julia/Compiler/test/inference.jl:5088 =# if x == 42 #= /cache/build/tester-amdci5-11/julialang/julia-master/julia-14bbb4af90/share/julia/Compiler/test/inference.jl:5089 =# return x else #= /cache/build/tester-amdci5-11/julialang/julia-master/julia-14bbb4af90/share/julia/Compiler/test/inference.jl:5091 =# return nothing end end |> only === Union{Int, Nothing}share/julia/Compiler/test/inference.jl:5086github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = -0.08980993565825983 + 0.4850956886183361im, β = false @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- misc/exports of modules/Profile/Profile @test isdefined(mod, v)share/julia/test/misc.jl:1420github100% reliable0μs average duration
- reducedim/test reductions over region: (1, 2, 3) @test #= /cache/build/tester-amdci5-14/julialang/julia-master/julia-896aace9c4/share/julia/test/reducedim.jl:80 =# @inferred(maximum(Areduc, dims = region)) ≈ safe_maximum(Areduc, region)share/julia/test/reducedim.jl:80github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Symmetric{Int64, S} where S<:(AbstractMatrix{<:Int64}), ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 1.0 + 0.0im, β = 0.4085669801848524 + 0.2523690654671175im @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- Profile/@profile no scope @test #= /cache/build/tester-amdci5-9/julialang/julia-master/julia-69a22cf4bc/share/julia/stdlib/v1.13/Profile/test/runtests.jl:160 =# @isdefined no_scope_57858_1stdlib/Profile/test/runtests.jl:160github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Int64}, ::LinearAlgebra.Tridiagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = -4, β = false/adjoint and transpose/fa = identity, fb = adjoint @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/lapack/gebrd, bdsqr, throw for bdsdc/elty = Float64 @test_throws nothing LAPACK.bdsqr!('U', d, [e; 1], Vt, U, C)stdlib/LinearAlgebra/test/lapack.jl:70github100% reliable0μs average duration
- intrinsics @test_throws nothing 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-fa23f6e7e5/share/julia/test/intrinsics.jl:399 =# @force_compile #= /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-fa23f6e7e5/share/julia/test/intrinsics.jl:399 =# Core.Intrinsics.atomic_fence(Symbol("u", "x")) end === nothingshare/julia/test/intrinsics.jl:399github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = 1.0 + 0.0im, β = 2.9864000145295346 + 0.7974905671117389im/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/uniformscaling/binary ops with matrices @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-buildkite/julia-73ac39e88c/share/julia/stdlib/v1.13/LinearAlgebra/test/uniformscaling.jl:260 =# @inferred(I - B) == I22 - Bstdlib/LinearAlgebra/test/uniformscaling.jl:260github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = Float64/mat_type = LinearAlgebra.Tridiagonal/diag @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-2c7527b1aa/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:287 =# @inferred(diag(A, 1))::typeof(d) == if mat_type == Tridiagonal du else dl endstdlib/LinearAlgebra/test/tridiag.jl:287github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = ComplexF64/tril/triu @test #= C:\buildkite-agent\builds\win2k22-amdci6-7\julialang\julia-master\julia-fa23f6e7e5\share\julia\stdlib\v1.13\LinearAlgebra\test\tridiag.jl:172 =# @inferred(triu!(copy(Tridiagonal(dl, d, du)), -1)) == Tridiagonal(dl, d, du)stdlib/LinearAlgebra/test/tridiag.jl:172github100% reliable0μs average duration