Tests
- LinearAlgebra/addmul/mul!(::Matrix{Int64}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.Bidiagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = true, β = false @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable500ms average duration
- strings/basic/isvalid edge conditions @test isvalid(String, #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-9bc0a07515/share/julia/test/strings/basic.jl:597 =# @view(bytes[1:var"end"])) == flgshare/julia/test/strings/basic.jl:597github100% reliable1s average duration
- Compiler/inference @test Base.infer_exception_type((Int,)) do x #= C:\buildkite-agent\builds\win2k22-amdci6-4\julialang\julia-master\julia-9aa2db581a\share\julia\Compiler\test\inference.jl:6211 =# (oc_exct_1())(x) end == Intshare/julia/Compiler/test/inference.jl:6210github100% reliable0μs average duration
- LinearAlgebra/dense/For A containing ComplexF32/For b containing ComplexF64/Test nullspace @test size(#= /cache/build/tester-amdci5-15/julialang/julia-master/julia-03861bbbaf/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:129 =# @inferred(nullspace((b[1, :])'))) == (2, 1)stdlib/LinearAlgebra/test/dense.jl:129github100% reliable0μs average duration
- LinearAlgebra/hessenberg/eltya = Float32, herm = true @test (H - (3 + 4im) * I) \ B ≈ (A - (3 + 4im) * I) \ Bstdlib/LinearAlgebra/test/hessenberg.jl:154github100% reliable346.94ms average duration
- tuple/find @test Base.return_types() do #= /cache/build/tester-amdci5-15/julialang/julia-master/julia-03861bbbaf/share/julia/test/tuple.jl:617 =# findfirst((==)(2), (1.0, 2, 3.0f0)) end == Any[Int]share/julia/test/tuple.jl:616github100% reliable0μs average duration
- LinearAlgebra/dense/For A containing Float64/For b containing Float32/Solve square general system of equations @test_throws DimensionMismatch b \ b'stdlib/LinearAlgebra/test/dense.jl:103github100% reliable404.76ms average duration
- SparseArrays/sparsematrix_constructors_indexing/sparse and dense concatenations @test issparse(#= /cache/build/default-aws-aarch64-ci-0-0/julialang/julia-master/julia-03861bbbaf/share/julia/stdlib/v1.13/SparseArrays/test/sparsematrix_constructors_indexing.jl:1061 =# @inferred(hvcat((2,), spmat, spmat)))stdlib/SparseArrays/test/sparsematrix_constructors_indexing.jl:1061github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = ComplexF64/tril/triu @test #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-bca7c3467d\share\julia\stdlib\v1.13\LinearAlgebra\test\tridiag.jl:151 =# @inferred(tril!(copy(Tridiagonal(dl, d, du)), 1)) == Tridiagonal(dl, d, du)stdlib/LinearAlgebra/test/tridiag.jl:151github100% reliable1s average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = true, β = 0.0 + 0.0im @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable1s average duration
- LinearAlgebra/dense/For A containing Int64/For b containing Float64/Test nullspace @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XG3Q6T6R70.0/build/default-honeycrisp-XG3Q6T6R70-0/julialang/julia-master/julia-9aa2db581a/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
- atomics/Main.Test64Main_atomics.ARefxy{Float64}(10.0, 20.0) @test_throws nothing setfield!(r, :y, x, :sequentially_consistent)share/julia/test/atomics.jl:209github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.Hermitian{Int64, S} where S<:(AbstractMatrix{<:Int64}), α, β)/α = -1.4346631892832129029358156913076527416706085205078125, 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/qr/eltya = Float64/eltyb = Float32/Matmul with QR factorizations @test all((x->begin #= /cache/build/tester-amdci5-10/julialang/julia-master/julia-a43c8a686d/share/julia/stdlib/v1.13/LinearAlgebra/test/qr.jl:204 =# abs(x) < ε * norm(a) end), d[n1 + 1:var"end", :])stdlib/LinearAlgebra/test/qr.jl:204github100% reliable0μs average duration
- atomics/Main.Test96Main_atomics.ARefxy{Symbol}(:hi, :bye) @test_throws ConcurrencyViolationError("invalid atomic ordering") replacefield!(r, :y, y, y, :not_atomic, :release)share/julia/test/atomics.jl:244github100% reliable0μs average duration
- iterators @test #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-bca7c3467d\share\julia\test\iterators.jl:289 =# @inferred(eltype(repeated(0))) == Intshare/julia/test/iterators.jl:289github100% reliable1s average duration
- iterators/only @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZQ07RJYVY.0/build/default-grannysmith-C07ZQ07RJYVY-0/julialang/julia-master/julia-9aa2db581a/share/julia/test/iterators.jl:954 =# @inferred(only(1)) === 1share/julia/test/iterators.jl:954github100% reliable0μs average duration
- exceptions/Exception stacks and Tasks @test (try #= /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-03861bbbaf/share/julia/test/exceptions.jl:359 =# #= /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-03861bbbaf/share/julia/test/exceptions.jl:359 =# @async Base.throwto(t, ErrorException("expected")) #= /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-03861bbbaf/share/julia/test/exceptions.jl:360 =# wait(t) catch e #= /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-03861bbbaf/share/julia/test/exceptions.jl:362 =# e end).task.exception == ErrorException("expected")share/julia/test/exceptions.jl:358github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.SymTridiagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, α, β)/α = 1.0 + 0.0im, β = 0.8611315743370921 + 0.354215834214129im/adjoint and transpose/fa = identity, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable1s average duration
- atomics/Main.Test63Main_atomics.ARefxy{Union{Missing, Nothing}}(nothing, missing) @test_throws ConcurrencyViolationError("setfield!: atomic field cannot be written non-atomically") setfield!(r, :x, y)share/julia/test/atomics.jl:192github100% reliable1s average duration