Tests
- Printf/Printf/integers @test #= /cache/build/default-aws-aarch64-ci-0-5/julialang/julia-master/julia-eae3a8a88c/share/julia/stdlib/v1.13/Printf/test/runtests.jl:711 =# Printf.@sprintf("%0-20u", 1024) == "1024 "stdlib/Printf/test/runtests.jl:711github100% reliable0μs average duration
- Compiler/effects @test Base.infer_effects() 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-6ba334de59/share/julia/Compiler/test/effects.jl:584 =# consistent_global.value end |> Compiler.is_consistentshare/julia/Compiler/test/effects.jl:583github100% reliable0μs average duration
- SparseArrays/higherorderfns/map[!] implementation specialized for a pair of (input) sparse vectors/matrices @test #= /cache/build/tester-amdci4-12/julialang/julia-master/julia-0517caead7/share/julia/stdlib/v1.13/SparseArrays/test/higherorderfns.jl:65 =# @allocated(map!(+, X, A, B)) < 500stdlib/SparseArrays/test/higherorderfns.jl:65github100% reliable0μs average duration
- atomics @test 2 === #= /cache/build/tester-amdci4-8/julialang/julia-master/julia-c927eb3480/share/julia/test/atomics.jl:807 =# @atomic(a.x)share/julia/test/atomics.jl:807github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = 2.928864109832533, 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
- subtype @test !(issub(Tuple{Integer, Int}, #= /cache/build/tester-amdci5-12/julialang/julia-master/julia-47ba7665a4/share/julia/test/subtype.jl:254 =# @UnionAll(T <: String, #= /cache/build/tester-amdci5-12/julialang/julia-master/julia-47ba7665a4/share/julia/test/subtype.jl:254 =# @UnionAll(S <: T, Tuple{T, S}))))share/julia/test/subtype.jl:254github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Int64}, ::LinearAlgebra.UnitLowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = true, β = -3/adjoint and transpose/fa = transpose, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::Matrix{Int32}, ::LinearAlgebra.SymTridiagonal{Int32, V} where V<:AbstractVector{Int32}, α, β)/α = 0.07190429287460183 - 0.5023046758147818im, β = 0.07190429287460183 - 0.5023046758147818im/adjoint and transpose/fa = identity, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- tuple/inferable range indexing with constant values @test #= /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-b627f5bb25/share/julia/test/tuple.jl:694 =# @inferred(tail((1, 2.0, 3 // 1))) == (2.0, 3 // 1)share/julia/test/tuple.jl:694github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = -0.31494251022577185, β = false @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.Diagonal{Int32, V} where V<:AbstractVector{Int32}, ::LinearAlgebra.Diagonal{Int32, V} where V<:AbstractVector{Int32}, α, β)/α = 1.0, β = 1.498301202155993 @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Int64}, ::LinearAlgebra.Bidiagonal{Int64, V} where V<:AbstractVector{Int64}, ::Matrix{Int64}, α, β)/α = 1, β = false/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
- bitarray/map over bitarrays @test map(>, b1, b2) == map(((x, y)->begin #= C:\buildkite-agent\builds\win2k22-amdci6-6\julialang\julia-master\julia-b2947aab47\share\julia\test\bitarray.jl:1484 =# x > y end), b1, b2) == (b1 .> b2)share/julia/test/bitarray.jl:1484github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::Matrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 1.0 + 0.0im, β = false @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.UnitLowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 1.0, β = 0.0/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
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = true, 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/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Symmetric{Int64, S} where S<:(AbstractMatrix{<:Int64}), ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = true, β = 0.0 + 0.0im/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, 3) @test #= /cache/build/default-aws-aarch64-ci-0-0/julialang/julia-master/julia-b23f2921dc/share/julia/test/reducedim.jl:88 =# @inferred(count(!, Breduc, dims = region)) ≈ safe_count(.!(Breduc), region)share/julia/test/reducedim.jl:88github100% reliable0μs average duration
- LinearAlgebra/givens/Test Givens for Float64/A = [-0.09827809864516161 -0.5356664166528831 0.1876790977734231 -0.6648852521785152 1.6588064881760805 1.5772146140495409 0.08977137518406675 -0.17189974378255363 -1.4357433818252268 0.22896980932819433; 2.9784792009277634 1.3379172264487325 1.533514896571012 0.19121540675113552 0.20439929195250567 1.5559965078936855 -1.3403369722183411 0.6356181259142838 -0.39653416592812185 0.011785581502638198; -7.523536699833076e-17 2.7974406534339473 -0.5924034276062645 0.06259581857070273 0.7224641358697749 -1.5488320856363247 0.2626881991663709 -0.12796799198162173 -1.5061371800846202 -0.3986774664550058; 4.439458245401013e-17 -4.9334935872357214e-17 2.4760269927440177 -0.3272446642396068 -0.87738096883275 -0.37494271013251457 -1.742588690314833 0.12803660000819625 0.8148123221860876 -0.34985764168478173; -1.3364445354909305e-17 -1.0155354345340897e-17 1.1315429321514064e-17 3.220003089665185 1.4038787560708126 1.868846871615478 1.4331668658821475 1.0679000873304434 -1.0591 @test_throws nothing givens(one(elty), zero(elty), 2, 2)stdlib/LinearAlgebra/test/givens.jl:47github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = 0.368041014801004262579908754560165107250213623046875, β = false/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration