Tests
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UnitLowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 1.509236107761708 + 0.30764484683837084im, β = false @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- iterators @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-bd320948bb/share/julia/test/iterators.jl:295 =# @inferred(Base.IteratorSize(zip(repeated(0), repeated(0)))) == Base.IsInfinite()share/julia/test/iterators.jl:295github100% reliable0μs average duration
- iterators/map/reduce/mapreduce without an iterator argument/map/reduce/r: reduce/f: Returns{Tuple{Int32}}((3,)) @test !(hasmethod(r, Tuple{typeof(f)}))share/julia/test/iterators.jl:1118github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, α, β)/α = -1.3671113263594812 - 0.9942946869561406im, 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
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.SymTridiagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = 1.0, β = false/adjoint and transpose/fa = adjoint, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- atomics/Main.Test98Main_atomics.ARefxy{Any}(12310, 12320) @test_throws nothing setfieldonce!(r, :x, x, :acquire, :not_atomic)share/julia/test/atomics.jl:297github100% reliable0μs average duration
- fastmath/real arithmetic @test all(#= /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-93da645175/share/julia/test/fastmath.jl:155 =# @fastmath(sincos(Float16(0.5))) .≈ sincos(Float16(0.5)))share/julia/test/fastmath.jl:155github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{Int32, V} where V<:AbstractVector{Int32}, ::LinearAlgebra.Symmetric{ComplexF32, S} where S<:(AbstractMatrix{<:ComplexF32}), α, β)/α = 0.08955212804818247 + 0.04435096380318238im, β = false/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{Int64}, ::Matrix{ComplexF64}, α, β)/α = 1.0 + 0.0im, β = false/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
- ranges/broadcasting returns ranges @test #= /cache/build/tester-amdci4-15/julialang/julia-master/julia-54a58c0a9f/share/julia/test/ranges.jl:1765 =# @inferred(r ./ x) === 0.5:0.5:2.5share/julia/test/ranges.jl:1765github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Hermitian{Int64, S} where S<:(AbstractMatrix{<:Int64}), ::LinearAlgebra.Symmetric{Float64, S} where S<:(AbstractMatrix{<:Float64}), α, β)/α = -0.022043322825319393298837411521162721328437328338623046875, β = false/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
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.SymTridiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, α, β)/α = 1.3308702542284878 - 2.100727047147056im, β = 0.0 + 0.0im/adjoint and transpose/fa = identity, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/tridiag/elty = Float32/tril/triu @test #= /cache/build/default-aws-aarch64-ci-0-1/julialang/julia-master/julia-8fde0214c8/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:171 =# @inferred(triu!(copy(Tridiagonal(dl, d, du)))) == Tridiagonal(zerosdl, d, du)stdlib/LinearAlgebra/test/tridiag.jl:171github100% reliable0μs average duration
- Printf/Printf/%e @test #= /cache/build/tester-amdci5-15/julialang/julia-master/julia-26efc09935/share/julia/stdlib/v1.13/Printf/test/runtests.jl:223 =# Printf.@sprintf("%09.1e", 1.234) == "001.2e+00"stdlib/Printf/test/runtests.jl:223github100% reliable0μs average duration
- Compiler/inline @test fully_eliminated() do #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-ec8d6aacbc/share/julia/Compiler/test/inline.jl:1111 =# #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-ec8d6aacbc/share/julia/Compiler/test/inline.jl:1111 =# @invoke FooTheRef(0::Any) #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-ec8d6aacbc/share/julia/Compiler/test/inline.jl:1112 =# nothing endshare/julia/Compiler/test/inline.jl:1110github100% reliable0μs average duration
- LinearAlgebra/dense/For A containing ComplexF64/For b containing ComplexF64/Test nullspace @test size(#= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XG3Q6T6R70.0/build/default-honeycrisp-XG3Q6T6R70-0/julialang/julia-master/julia-3c88fa5747/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:127 =# @inferred(nullspace((a[:, 1])'))) == (n, n - 1)stdlib/LinearAlgebra/test/dense.jl:127github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.Diagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = -1.1004233145988771003231931899790652096271514892578125, β = -1.1004233145988771003231931899790652096271514892578125/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- atomics/Main.Test19Main_atomics.ARefxy{String}("hi", "bye") @test_throws nothing setfield!(r, :x, y, :not_atomic)share/julia/test/atomics.jl:193github100% reliable0μs average duration
- LinearAlgebra/qr/eltya = Float64/eltyb = Int64/Matmul with QR factorizations @test all((x->begin #= /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-7270004d28/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.Test61Main_atomics.ARefxy{Float64}(10.0, 20.0) @test_throws nothing getfield(r, :y, :acquire)share/julia/test/atomics.jl:177github100% reliable0μs average duration