Tests
- LinearAlgebra/triangular3/elty1 = Complex{BigFloat}/(t1, uplo1) = (LinearAlgebra.UnitLowerTriangular, :L)/elty2 = Complex{BigFloat}/(t2, uplo2) = (LinearAlgebra.UnitUpperTriangular, :U) @test A1' * A2' ≈ M1' * M2'stdlib/LinearAlgebra/test/testtriag.jl:351github100% reliable0μs average duration
- abstractarray/stack @test #= /cache/build/tester-amdci4-11/julialang/julia-master/julia-638a6a2338/share/julia/test/abstractarray.jl:1771 =# @inferred(stack((x->begin #= /cache/build/tester-amdci4-11/julialang/julia-master/julia-638a6a2338/share/julia/test/abstractarray.jl:1771 =# [x, 2x] end), 3:5)) == [3 4 5; 6 8 10]share/julia/test/abstractarray.jl:1771github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitLowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitLowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = -1.353596699647094059315577396773733198642730712890625, β = 0.0/β = 0 ignores C .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Int64}, ::LinearAlgebra.Bidiagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 7, β = 7 @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, ::LinearAlgebra.UpperTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, α, β)/α = 0.1093235510573313 - 0.782551120957548im, β = 0.0 + 0.0im/adjoint and transpose/fa = transpose, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- subtype @test !(DataType isa #= /cache/build/tester-amdci4-10/julialang/julia-master/julia-8b14690737/share/julia/test/subtype.jl:528 =# @UnionAll(T <: Number, Type{T}))share/julia/test/subtype.jl:528github100% reliable0μs average duration
- reducedim/test reductions over region: (1, 2, 3, 4) @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-a27d783439/share/julia/test/reducedim.jl:84 =# @inferred(sum(abs, Areduc, dims = region)) ≈ safe_sumabs(Areduc, region)share/julia/test/reducedim.jl:84github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Int32}, ::LinearAlgebra.Bidiagonal{Int32, V} where V<:AbstractVector{Int32}, ::LinearAlgebra.SymTridiagonal{Int32, V} where V<:AbstractVector{Int32}, α, β)/α = 1, β = 7/adjoint and transpose/fa = transpose, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::Matrix{Float32}, α, β)/α = 1.0, β = 0.05365053499074830256621027047003735788166522979736328125/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
- Printf/Printf/integers @test #= /cache/build/tester-amdci5-15/julialang/julia-master/julia-1fae15a3cf/share/julia/stdlib/v1.13/Printf/test/runtests.jl:637 =# Printf.@sprintf("%+ X", UInt(3989525555)) == "+EDCB5433"stdlib/Printf/test/runtests.jl:637github100% reliable0μs average duration
- Printf/Printf/integers @test #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-49aecbe42d/share/julia/stdlib/v1.13/Printf/test/runtests.jl:633 =# Printf.@sprintf("%+ o", UInt(4294966785)) == "+37777777001"stdlib/Printf/test/runtests.jl:633github100% reliable0μs average duration
- Compiler/effects @test Base.infer_effects((Tuple{Int, Int}, String)) do t, i #= /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-1b98f1e44e/share/julia/Compiler/test/effects.jl:461 =# getfield(t, i, false) end |> !(Compiler.is_nothrow)share/julia/Compiler/test/effects.jl:460github100% reliable0μs average duration
- Compiler/effects @test Base.infer_effects((Symbol, Any)) do s, x #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XC9YQX9HH2.0/build/default-honeycrisp-XC9YQX9HH2-0/julialang/julia-master/julia-148493d3da/share/julia/Compiler/test/effects.jl:175 =# if s === :throw #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XC9YQX9HH2.0/build/default-honeycrisp-XC9YQX9HH2-0/julialang/julia-master/julia-148493d3da/share/julia/Compiler/test/effects.jl:176 =# taint = Ref{Any}(":throw option given") #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XC9YQX9HH2.0/build/default-honeycrisp-XC9YQX9HH2-0/julialang/julia-master/julia-148493d3da/share/julia/Compiler/test/effects.jl:177 =# throw(taint) end #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XC9YQX9HH2.0/build/default-honeycrisp-XC9YQX9HH2-0/julialang/julia-master/julia-148493d3da/share/julia/Compiler/test/effects.jl:179 =# return s end |> Compiler.is_consistentshare/julia/Compiler/test/effects.jl:174github100% reliable0μs average duration
- bitarray/map over bitarrays/map! for length 127 @test map!(min, b, b1, b2) == map!(((x, y)->begin #= /cache/build/tester-amdci4-14/julialang/julia-master/julia-82e048300d/share/julia/test/bitarray.jl:1502 =# min(x, y) end), b, b1, b2) == min.(b1, b2) == bshare/julia/test/bitarray.jl:1502github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.UnitLowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = -0.5225315928243008389841861571767367422580718994140625, β = false @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/structuredbroadcast/map[!] over combinations of structured matrices @test begin Q = map(+, fA, X) #= /cache/build/tester-amdci5-15/julialang/julia-master/julia-e7ff95d643/share/julia/stdlib/v1.13/LinearAlgebra/test/structuredbroadcast.jl:185 =# Q isa Matrix && Q == map(+, fA, fX) endstdlib/LinearAlgebra/test/structuredbroadcast.jl:185github100% reliable0μs average duration
- atomics @test 1 === #= /cache/build/tester-amdci5-11/julialang/julia-master/julia-14bbb4af90/share/julia/test/atomics.jl:529 =# @atomic(a.x)share/julia/test/atomics.jl:529github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::Matrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 1.0, β = false/adjoint and transpose/fa = identity, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitLowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = -0.06758465989697637, β = 0.0/α = 0 ignores A .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- numbers/div, fld, cld, rem, mod/UInt128 div/rem @test q == #= /cache/build/default-aws-aarch64-ci-0-5/julialang/julia-master/julia-5c9a59240b/share/julia/test/numbers.jl:1703 =# @inferred(div(xs, ys))::UInt128share/julia/test/numbers.jl:1703github100% reliable0μs average duration