Tests
- Compiler/irpasses @test count((x->begin #= /cache/build/default-aws-aarch64-ci-1-0/julialang/julia-master/julia-73607de080/share/julia/Compiler/test/irpasses.jl:1572 =# isexpr(x, :invoke) end), code) == 0share/julia/Compiler/test/irpasses.jl:1572github100% reliable0μs average duration
- LinearAlgebra/dense/Matrix trigonometry/Tests for Float32 @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-32dafdeb1f/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:681 =# @inferred(csc(A)) ≈ inv(sin(A))stdlib/LinearAlgebra/test/dense.jl:681github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.SymTridiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, α, β)/α = 0.921693599173184 + 0.05676219168202381im, β = false/adjoint and transpose/fa = identity, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/dense/For A containing ComplexF64/For b containing Float64/Test nullspace @test size(#= /cache/build/default-aws-aarch64-ci-0-0/julialang/julia-master/julia-489a460df9/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:123 =# @inferred(nullspace(a[:, 1]))) == (1, 0)stdlib/LinearAlgebra/test/dense.jl:123github100% reliable0μs average duration
- tuple/inferable range indexing with constant values @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-R17H3W25T9.0/build/default-honeycrisp-R17H3W25T9-0/julialang/julia-master/julia-af154eeee3/share/julia/test/tuple.jl:687 =# @inferred(whole((1, 2.0))) == (1, 2.0)share/julia/test/tuple.jl:687github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.SymTridiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Hermitian{Int32, S} where S<:(AbstractMatrix{<:Int32}), α, β)/α = 1.0, β = -0.47010333562833695/adjoint and transpose/fa = adjoint, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Test @test_throws nothing #= /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-4eb813e263/share/julia/stdlib/v1.13/Test/test/runtests.jl:692 =# @inferred nothing uninferable_small_union(1)stdlib/Test/test/runtests.jl:692github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Symmetric{Float32, S} where S<:(AbstractMatrix{<:Float32}), ::LinearAlgebra.UnitLowerTriangular{Int32, S} where S<:AbstractMatrix{Int32}, α, β)/α = -1.1740823622078890853259736104519106447696685791015625, β = -1.1740823622078890853259736104519106447696685791015625/adjoint and transpose/fa = transpose, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Pkg/Pkg/artifacts.jl/Artifact GC collect delay @test any((x->begin #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-0bcc9cd928/share/julia/stdlib/v1.13/Pkg/test/artifacts.jl:590 =# startswith(x, artifact_path(die_hash)) end), keys(orphanage))stdlib/Pkg/test/artifacts.jl:590github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.LowerTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, ::LinearAlgebra.Hermitian{ComplexF64, S} where S<:(AbstractMatrix{<:ComplexF64}), α, β)/α = 0.35746332021917443 - 0.9428810511670931im, β = false/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{Float64}, ::Matrix{Int64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = 1.0, β = 0.170044497032216/adjoint and transpose/fa = adjoint, fb = adjoint @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/default-aws-aarch64-ci-0-0/julialang/julia-master/julia-9f99c5520f/share/julia/Compiler/test/inference.jl:4281 =# typeassert() end == Any[Union{}]share/julia/Compiler/test/inference.jl:4281github100% reliable0μs average duration
- Compiler/inference @test only(Base.return_types((Any,)) do x #= /cache/build/tester-amdci4-14/julialang/julia-master/julia-7acb2a6aa4/share/julia/Compiler/test/inference.jl:5333 =# Val(hasmethod(x...)) end) == Valshare/julia/Compiler/test/inference.jl:5333github100% reliable0μs average duration
- Printf/Printf/basics @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-ffb7dbe23b/share/julia/stdlib/v1.13/Printf/test/runtests.jl:477 =# Printf.@sprintf("%.2g", 1.7976931348623157e308) == "1.8e+308"stdlib/Printf/test/runtests.jl:477github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 1.0, β = -0.11496214537291066/α = 0 ignores A .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = -0.7417181999131242 - 0.23023744434970156im, β = -0.7417181999131242 - 0.23023744434970156im/α = 0 ignores A .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, α, β)/α = 1.0 + 0.0im, β = 0.4339140701666697 + 1.3680905345703254im @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 0.5505521487055941 - 0.10290425230336639im, β = 0.0 + 0.0im/adjoint and transpose/fa = identity, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Printf/Printf/integers @test #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-08ed7de78e\share\julia\stdlib\v1.13\Printf\test\runtests.jl:622 =# Printf.@sprintf("% x", 305441741) == " 1234abcd"stdlib/Printf/test/runtests.jl:622github100% reliable0μs average duration
- core @test ((x->begin #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-a6e35becc1/share/julia/test/core.jl:4357 =# 2x end)).([1, 2, 3]) == [2, 4, 6]share/julia/test/core.jl:4357github100% reliable0μs average duration