Tests
- tuple/indexing with UnitRanges @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZQ07FJYVY.0/build/default-grannysmith-C07ZQ07FJYVY-0/julialang/julia-master/julia-621d14977a/share/julia/test/tuple.jl:759 =# @inferred(((t->begin #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZQ07FJYVY.0/build/default-grannysmith-C07ZQ07FJYVY-0/julialang/julia-master/julia-621d14977a/share/julia/test/tuple.jl:759 =# t[1:var"end" - 2] end))(Tuple(1:15))) === Tuple(1:13)share/julia/test/tuple.jl:759github100% reliable0μs average duration
- bitarray/Indexing/linear for size (5, 8, 3, 7) @test r1 isa ret_type || #= /cache/build/tester-amdci4-11/julialang/julia-master/julia-30e0684a2f/share/julia/test/bitarray.jl:22 =# @show((ret_type, typeof(r1)))share/julia/test/bitarray.jl:22github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = ComplexF64/tril/triu @test #= /cache/build/default-aws-aarch64-ci-1-3/julialang/julia-master/julia-f8222f59ff/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:148 =# @inferred(tril!(copy(SymTridiagonal(d, dl)), -1)) == Tridiagonal(dl, zerosd, zerosdl)stdlib/LinearAlgebra/test/tridiag.jl:148github100% reliable0μs average duration
- syntax/macro calls @foo{...} @test :(#= /cache/build/tester-amdci5-9/julialang/julia-master/julia-205afcd3ab/share/julia/test/syntax.jl:2321 =# @foo({bar}) + baz) == :(#= /cache/build/tester-amdci5-9/julialang/julia-master/julia-205afcd3ab/share/julia/test/syntax.jl:2321 =# @foo({bar}) + baz)share/julia/test/syntax.jl:2321github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Symmetric{Float32, S} where S<:(AbstractMatrix{<:Float32}), α, β)/α = true, β = 0.044350963803182381905987341497166198678314685821533203125/adjoint and transpose/fa = transpose, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Tridiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Tridiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 1.0, β = -1.049216546715559/adjoint and transpose/fa = adjoint, fb = transpose @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = Int64/tril/triu @test #= /cache/build/tester-amdci4-10/julialang/julia-master/julia-4d2a350870/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:168 =# @inferred(triu!(copy(SymTridiagonal(d, dl)), -1)) == Tridiagonal(dl, d, dl)stdlib/LinearAlgebra/test/tridiag.jl:168github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = true, β = 0.0 + 0.0im/α = 0 ignores A .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable17.54ms average duration
- iterators @test #= /cache/build/tester-amdci5-10/julialang/julia-master/julia-e98565200e/share/julia/test/iterators.jl:194 =# @inferred(length(drop(UInt(1):2, 3))) == 0share/julia/test/iterators.jl:194github100% reliable0μs average duration
- Printf/Printf/integers @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-af154eeee3/share/julia/stdlib/v1.13/Printf/test/runtests.jl:704 =# Printf.@sprintf("%#020x", UInt(3989525555)) == "0x0000000000edcb5433"stdlib/Printf/test/runtests.jl:704github100% reliable0μs average duration
- Compiler/inference @test Base.return_types((Bool, AliasableField); interp = MustAliasInterpreter()) do b, a #= /cache/build/default-aws-aarch64-ci-1-0/julialang/julia-master/julia-e7ff95d643/share/julia/Compiler/test/inference.jl:2446 =# return merge_same_aliases(b, a) end |> only === Union{Nothing, Int}share/julia/Compiler/test/inference.jl:2445github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::Matrix{Int64}, α, β)/α = -0.5934907746099369, β = 0.0/adjoint and transpose/fa = adjoint, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/dense/For A containing ComplexF64/For b containing ComplexF32/Test nullspace @test #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-4e2c472a3b\share\julia\stdlib\v1.13\LinearAlgebra\test\dense.jl:120 =# @inferred(nullspace(zeros(n, 0))) == Matrix(I, 0, 0)stdlib/LinearAlgebra/test/dense.jl:120github100% reliable0μs average duration
- LinearAlgebra/lq/eltya = Float32, n = 10/eltyb = ComplexF64/isview = false/Binary ops @test ≈(begin sq = size(q.factors, 2) #= /cache/build/default-aws-aarch64-ci-1-4/julialang/julia-master/julia-59a655b56e/share/julia/stdlib/v1.13/LinearAlgebra/test/lq.jl:72 =# (Matrix{eltyb}(I, sq, sq) * adjoint(q)) * squareQ(q) end, Matrix(I, n, n), rtol = 5000ε)stdlib/LinearAlgebra/test/lq.jl:72github100% reliable0μs average duration
- enums @test_throws nothing #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-d48fd5e4a6\share\julia\test\enums.jl:14 =# @macrocall #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-d48fd5e4a6\share\julia\test\enums.jl:14 =# @enum(Foo)share/julia/test/enums.jl:14github100% reliable0μs average duration
- iterators @test #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-79b39a5eda\share\julia\test\iterators.jl:526 =# @inferred(length(flatten(zip(1:3, 4:6)))) == 6share/julia/test/iterators.jl:526github100% reliable0μs average duration
- Compiler/datastructures/basic sort @test Compiler.sort!(v, by = (x->begin #= C:\buildkite-agent\builds\win2k22-amdci6-2\julialang\julia-master\julia-eed18bdf70\share\julia\Compiler\test\datastructures.jl:104 =# -x end)) === v == [3, 2, 1]share/julia/Compiler/test/datastructures.jl:104github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = 1.0, β = -0.4861871148975365/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UnitUpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = true, β = 1.0383262881114510012281471063033677637577056884765625/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Compiler/inference/compilation annotations/@nospecializeinfer @test Base.return_types((Any,)) do x #= /cache/build/default-aws-aarch64-ci-1-5/julialang/julia-master/julia-4a7e6d65e9/share/julia/Compiler/test/inference.jl:4431 =# Val(func_nospecializeinfer_constprop(x)) end |> only == Val{false}share/julia/Compiler/test/inference.jl:4430github100% reliable0μs average duration