Tests
- LinearAlgebra/dense/Matrix trigonometry/Tests for ComplexF64 @test #= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-561584579f\share\julia\stdlib\v1.13\LinearAlgebra\test\dense.jl:685 =# @inferred(coth(A)) ≈ inv(#= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-561584579f\share\julia\stdlib\v1.13\LinearAlgebra\test\dense.jl:685 =# @inferred(tanh(A)))stdlib/LinearAlgebra/test/dense.jl:685github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.UnitLowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.UnitLowerTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, α, β)/α = -0.1839093648791523 + 1.9209812374681778im, β = false @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Compiler/effects @test !(fully_eliminated() do #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-R17H3W25T9.0/build/default-honeycrisp-R17H3W25T9-0/julialang/julia-master/julia-5a31e48a76/share/julia/Compiler/test/effects.jl:357 =# entry_to_be_invalidated('a') end)share/julia/Compiler/test/effects.jl:356github100% reliable0μs average duration
- arrayops/multi-array eachindex @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-43766717f6/share/julia/test/arrayops.jl:2228 =# @inferred(eachindex(a, b)) == CartesianIndices((2, 2))share/julia/test/arrayops.jl:2228github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.Tridiagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, α, β)/α = -1.6973563493150499 - 1.6700074954012252im, β = false/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = 0.58239023794800903743862363626249134540557861328125, β = false @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Printf/Printf/integers @test #= C:\buildkite-agent\builds\win2k22-amdci6-7\julialang\julia-master\julia-34bbf10de7\share\julia\stdlib\v1.13\Printf\test\runtests.jl:532 =# Printf.@sprintf("%-015d", 42) == "42 "stdlib/Printf/test/runtests.jl:532github100% reliable0μs average duration
- broadcast @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-b54d37e0e9/share/julia/test/broadcast.jl:794 =# @inferred(Broadcast.materialize(Broadcast.flatten(bc))) == #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XC9YQX9HH2.0/build/default-honeycrisp-XC9YQX9HH2-0/julialang/julia-master/julia-b54d37e0e9/share/julia/test/broadcast.jl:794 =# @inferred(Broadcast.materialize(bc)) == 60.8share/julia/test/broadcast.jl:794github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 1.1618609220554836358729744461015798151493072509765625, β = 1.1618609220554836358729744461015798151493072509765625 @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/structuredbroadcast/broadcast[!] over combinations of scalars, structured matrices, and dense vectors/matrices @test begin Q = broadcast(cos, X) #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-ec424d47ff/share/julia/stdlib/v1.13/LinearAlgebra/test/structuredbroadcast.jl:28 =# Q isa Matrix && Q == broadcast(cos, fX) endstdlib/LinearAlgebra/test/structuredbroadcast.jl:28github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.SymTridiagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, ::Matrix{BigFloat}, α, β)/α = -0.91182663140697195469641656018211506307125091552734375, β = -0.91182663140697195469641656018211506307125091552734375/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Hermitian{Float32, S} where S<:(AbstractMatrix{<:Float32}), ::LinearAlgebra.UnitUpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = -0.428499279995128101727885905347648076713085174560546875, β = 0.0/adjoint and transpose/fa = adjoint, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- core @test all(is_globalref.(((calls[1])[2]).args[1:3], (GlobalRef(Core, :apply_type), GlobalRef(#= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-R17H3W25T9.0/build/default-honeycrisp-R17H3W25T9-0/julialang/julia-master/julia-55bf45d38d/share/julia/test/core.jl:7531 =# @__MODULE__(), :FieldConvert), GlobalRef(#= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-R17H3W25T9.0/build/default-honeycrisp-R17H3W25T9-0/julialang/julia-master/julia-55bf45d38d/share/julia/test/core.jl:7531 =# @__MODULE__(), :FieldTypeA))))share/julia/test/core.jl:7531github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.Diagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, α, β)/α = -1.3922729679370813 - 1.7041132041999059im, β = 0.0 + 0.0im/adjoint and transpose/fa = adjoint, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Printf/Printf/dynamic @test #= /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-81019704a2/share/julia/stdlib/v1.13/Printf/test/runtests.jl:1130 =# Printf.@sprintf("%*.u", 20, UInt(0)) == #= /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-81019704a2/share/julia/stdlib/v1.13/Printf/test/runtests.jl:1130 =# Printf.@sprintf("%20.u", UInt(0))stdlib/Printf/test/runtests.jl:1130github100% reliable0μs average duration
- misc @test #= /cache/build/default-aws-aarch64-ci-1-1/julialang/julia-master/julia-97d5a37a29/share/julia/test/misc.jl:343 =# @time foo() trueshare/julia/test/misc.jl:343github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Hermitian{ComplexF32, S} where S<:(AbstractMatrix{<:ComplexF32}), ::LinearAlgebra.Bidiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = -0.9031759750783702 + 1.0328178328342568im, 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
- tuple/ntuple @test #= /cache/build/default-aws-aarch64-ci-0-0/julialang/julia-master/julia-8d77b5392f/share/julia/test/tuple.jl:510 =# @inferred(ntuple(abs2, Val(2))) == (1, 4)share/julia/test/tuple.jl:510github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = 1.0, β = -0.9061799386747525/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}, ::Matrix{Float64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 1.0, β = 0.0013024249937150499/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