Tests
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.Diagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, α, β)/α = 0.5451102354772030533780480254790745675563812255859375, β = 0.0/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Compiler/inference @test Base.return_types() do #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XG3Q6T6R70.0/build/default-honeycrisp-XG3Q6T6R70-0/julialang/julia-master/julia-43250441dc/share/julia/Compiler/test/inference.jl:4273 =# g39915((1, 1.0, "a", :a)) end |> first === Tuple{Int, String}share/julia/Compiler/test/inference.jl:4272github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.Tridiagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, α, β)/α = 0.04635021398105233780828626777292811311781406402587890625, β = false/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.SymTridiagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 1.1335488638285314, β = 0.0/adjoint and transpose/fa = transpose, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/dense/Matrix trigonometry/Tests for ComplexF64 @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-04b86b7925/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:684 =# @inferred(csch(A)) ≈ inv(sinh(A))stdlib/LinearAlgebra/test/dense.jl:684github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{Int32, V} where V<:AbstractVector{Int32}, ::LinearAlgebra.Tridiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, α, β)/α = 1.0 + 0.0im, β = 0.788332244292717 + 1.48401524391953im/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
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Symmetric{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.Symmetric{Float32, S} where S<:(AbstractMatrix{<:Float32}), α, β)/α = -1.2375884278115081, β = false/adjoint and transpose/fa = transpose, fb = identity @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = true, β = 0.946568898140176/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{ComplexF64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.UnitLowerTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, α, β)/α = -0.04609195141154413 + 0.18129980681248847im, β = false/adjoint and transpose/fa = transpose, 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}, ::LinearAlgebra.SymTridiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Bidiagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = 1.0, 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
- reducedim/test reductions over region: (2, 3, 4) @test #= C:\buildkite-agent\builds\win2k22-amdci6-2\julialang\julia-master\julia-d6af199c5d\share\julia\test\reducedim.jl:86 =# @inferred(maximum(abs, Areduc, dims = region)) ≈ safe_maxabs(Areduc, region)share/julia/test/reducedim.jl:86github100% reliable0μs average duration
- arrayops/Base.mightalias unit tests @test #= /cache/build/tester-amdci4-13/julialang/julia-master/julia-73607de080/share/julia/test/arrayops.jl:1401 =# @views mightalias(A[:, :], A[3, 1:1])share/julia/test/arrayops.jl:1401github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::Matrix{Float64}, ::Matrix{Int64}, α, β)/α = 1.0 + 0.0im, β = -0.025536092352754496 + 0.9067539647713345im @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- syntax @test Meta.lower(#= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZQ07FJYVY.0/build/default-grannysmith-C07ZQ07FJYVY-0/julialang/julia-master/julia-861b454e15/share/julia/test/syntax.jl:1441 =# @__MODULE__(), :(:(:) = 2)) == Expr(:error, "invalid assignment location \":(:)\"")share/julia/test/syntax.jl:1441github100% reliable0μs average duration
- iterators/Iterators.Stateful @test !(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-14bbb4af90/share/julia/test/iterators.jl:809 =# @inferred(isempty(a)))share/julia/test/iterators.jl:809github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = true, β = false/adjoint and transpose/fa = identity, fb = transpose @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = -0.6403068487702742, β = false/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- SparseArrays/linalg/SparseMatrixCSC [c]transpose[!] and permute[!]/common error checking of permute[!] methods / permutation validity @test_throws nothing permute!(A, p, begin r = copy(q) #= /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-a046da5f25/share/julia/stdlib/v1.13/SparseArrays/test/linalg.jl:627 =# r[2] = r[1] #= /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-a046da5f25/share/julia/stdlib/v1.13/SparseArrays/test/linalg.jl:627 =# r end)stdlib/SparseArrays/test/linalg.jl:627github100% reliable0μs average duration
- LinearAlgebra/triangular/indexing with a BandIndex @test #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-d48fd5e4a6\share\julia\stdlib\v1.13\LinearAlgebra\test\triangular.jl:780 =# @inferred(f(UnitUpperTriangular(M), j, Val(-1))) == Val(0)stdlib/LinearAlgebra/test/triangular.jl:780github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.Diagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = 1.0 + 0.0im, β = 1.301305510528478 - 0.31089873400332024im @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration