Tests
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = true, β = -0.4326011760356877 @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{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::Matrix{Int64}, α, β)/α = 0.14827842129667493 - 0.03095364927935472im, β = 0.0 + 0.0im/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/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Bidiagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = 0.257526921000072517298207230851403437554836273193359375, β = false/adjoint and transpose/fa = adjoint, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- iterators @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-9dbb3ac1f9/share/julia/test/iterators.jl:482 =# @inferred(Base.IteratorEltype(product(f1, 1:2))) == Base.HasEltype()share/julia/test/iterators.jl:482github100% reliable0μs average duration
- Printf/Printf/%f @test #= /cache/build/tester-amdci4-9/julialang/julia-master/julia-a27d783439/share/julia/stdlib/v1.13/Printf/test/runtests.jl:134 =# Printf.@sprintf("%F", 1.234) == "1.234000"stdlib/Printf/test/runtests.jl:134github100% reliable0μs average duration
- cartesian/CartesianIndices getindex/AbstractUnitRange @test all((i->begin #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XG3Q6T6R70.0/build/default-honeycrisp-XG3Q6T6R70-0/julialang/julia-master/julia-fb01f9159c/share/julia/test/cartesian.jl:174 =# A[i] == A[R[i]] end), eachindex(A))share/julia/test/cartesian.jl:174github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = true, β = 0.991025465494134838451145697035826742649078369140625 @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Compiler/irpasses/effect-freeness computation for array allocation/10, 3 @test #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-b6b21f9247\share\julia\Compiler\test\irpasses.jl:1095 =# @eval fully_eliminated() do #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-b6b21f9247\share\julia\Compiler\test\irpasses.jl:1096 =# Array{Int, $N}(undef, $(dims...)) #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-b6b21f9247\share\julia\Compiler\test\irpasses.jl:1097 =# nothing endshare/julia/Compiler/test/irpasses.jl:1095github100% reliable0μs average duration
- Printf/Printf/strings @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-92fc06fd83/share/julia/stdlib/v1.13/Printf/test/runtests.jl:265 =# Printf.@sprintf("%s", :test) == "test"stdlib/Printf/test/runtests.jl:265github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = 0.950263442532051971767259601620025932788848876953125, β = false @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- reduce @test #= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-0141925052\share\julia\test\reduce.jl:455 =# @inferred(all([false, true])) == falseshare/julia/test/reduce.jl:455github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::Matrix{ComplexF32}, α, β)/α = 1.0 + 0.0im, β = 0.3103907026546843 - 0.32080903153152956im/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
- SparseArrays/higherorderfns/map[!] over combinations of sparse and structured matrices @test begin Q = map(+, A, X) #= /cache/build/tester-amdci4-13/julialang/julia-master/julia-75d5588d46/share/julia/stdlib/v1.13/SparseArrays/test/higherorderfns.jl:451 =# Q isa SparseMatrixCSC && Q == sparse(map(+, fA, fX)) endstdlib/SparseArrays/test/higherorderfns.jl:451github100% reliable0μs average duration
- LinearAlgebra/bidiag/relty = BigFloat, elty = BigFloat/uplo = U/diag @test #= /cache/build/default-aws-aarch64-ci-1-1/julialang/julia-master/julia-36b046dc11/share/julia/stdlib/v1.13/LinearAlgebra/test/bidiag.jl:401 =# @inferred(diag(G, if uplo === :U 1 else -1 end))::typeof(gdv) == gevstdlib/LinearAlgebra/test/bidiag.jl:401github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Hermitian{BigFloat, S} where S<:(AbstractMatrix{<:BigFloat}), ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = 1.0, β = 0.238019506341905273671955001191236078739166259765625/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- reducedim/test reductions over region: (1, 4) @test #= /cache/build/tester-amdci4-14/julialang/julia-master/julia-2634a665f5/share/julia/test/reducedim.jl:81 =# @inferred(minimum(Areduc, dims = region)) ≈ safe_minimum(Areduc, region)share/julia/test/reducedim.jl:81github100% reliable0μs average duration
- math/hypot/Float64 @test #= /cache/build/tester-amdci4-10/julialang/julia-master/julia-55f875eab2/share/julia/test/math.jl:1368 =# @inferred(hypot(x, x / 4)) ≈ x * sqrt(17 / BigFloat(16))share/julia/test/math.jl:1368github100% reliable0μs average duration
- LinearAlgebra/symmetric/Core functionality/eltya = Int32/basic ops/real, imag @test real(S) === S == asymstdlib/LinearAlgebra/test/symmetric.jl:214github100% reliable5.81ms average duration
- docs @test docstrings_equal(#= /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-399b20512e/share/julia/test/docs.jl:350 =# @doc(DocsTest.TA), doc"TA")share/julia/test/docs.jl:350github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Hermitian{Int32, S} where S<:(AbstractMatrix{<:Int32}), α, β)/α = 0.17355897759470898, β = 0.17355897759470898/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration