Tests
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Tridiagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, ::LinearAlgebra.SymTridiagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, α, β)/α = 1.0 + 0.0im, β = 0.0 + 0.0im/adjoint and transpose/fa = transpose, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Printf/Printf/basics @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-R17H3W25T9.0/build/default-honeycrisp-R17H3W25T9-0/julialang/julia-master/julia-c89b1ff7a1/share/julia/stdlib/v1.13/Printf/test/runtests.jl:353 =# Printf.@sprintf("%d%d", [1 2]...) == "12"stdlib/Printf/test/runtests.jl:353github100% reliable0μs average duration
- Printf/Printf/dynamic @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-a0740d0984/share/julia/stdlib/v1.13/Printf/test/runtests.jl:898 =# Printf.@sprintf("%+ 0*.*e", 9, 1, 1.234) == #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-a0740d0984/share/julia/stdlib/v1.13/Printf/test/runtests.jl:898 =# Printf.@sprintf("%+ 09.1e", 1.234)stdlib/Printf/test/runtests.jl:898github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Diagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = true, β = -0.538382128490554112687505039502866566181182861328125/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
- Printf/Printf/%a @test #= /cache/build/tester-amdci5-15/julialang/julia-master/julia-e9a06aedf3/share/julia/stdlib/v1.13/Printf/test/runtests.jl:30 =# Printf.@sprintf("%a", 0.0) == "0x0p+0"stdlib/Printf/test/runtests.jl:30github100% reliable0μs average duration
- Profile/@profile no scope @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-0/julialang/julia-master/julia-470ff4860a/share/julia/stdlib/v1.13/Profile/test/runtests.jl:160 =# @isdefined no_scope_57858_1stdlib/Profile/test/runtests.jl:160github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 0.5080024121000871 - 0.24319824058662837im, β = 0.0 + 0.0im/adjoint and transpose/fa = transpose, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/givens/Test Givens for ComplexF32/A = ComplexF32[-0.64199775f0 + 0.07371091f0im -0.501781f0 + 0.9461493f0im -1.5529921f0 - 1.8621466f0im -0.08568633f0 - 1.7770425f0im -0.019458646f0 + 0.31290188f0im -1.5371046f0 + 0.5101109f0im 1.2706641f0 + 0.41616282f0im 0.8825502f0 - 0.3714966f0im -1.7325779f0 - 0.5632531f0im 2.823908f0 + 0.35210407f0im; -0.13092965f0 + 0.52479935f0im 0.22257705f0 - 0.73006004f0im 0.89987636f0 - 0.02980477f0im 0.6823037f0 - 2.4541898f0im -0.10550402f0 - 1.3135229f0im 0.6198037f0 + 0.60987234f0im 0.36283547f0 + 0.36966914f0im -1.8953499f0 - 0.31701368f0im -0.4654879f0 - 0.8425298f0im -1.0517597f0 + 1.1255968f0im; 0.6904154f0 - 1.2460406f0im -0.9533973f0 + 2.4807682f0im 0.16408889f0 + 0.60660744f0im 0.13317168f0 - 0.038815185f0im -0.68362457f0 + 0.916661f0im 4.008724f0 - 1.0488454f0im 0.5698525f0 - 1.0557199f0im -1.7236463f0 - 0.24201176f0im -0.24555385f0 + 0.061174624f0im -0.6199864f0 + 1.1868857f0im; -0.21132606f0 + 0.8936583f0im 1.9628339f0 - 1.1275856f0im -0.9150245f0 + 2.9 @test_throws nothing transpose(R)stdlib/LinearAlgebra/test/givens.jl:34github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Tridiagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, ::Matrix{Float64}, α, β)/α = true, β = -0.746062373565581804513158203917555510997772216796875 @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- misc @test #= C:\buildkite-agent\builds\win2k22-amdci6-7\julialang\julia-master\julia-1ce3d6c2c6\share\julia\test\misc.jl:356 =# @time 1 trueshare/julia/test/misc.jl:356github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.Symmetric{Float32, S} where S<:(AbstractMatrix{<:Float32}), α, β)/α = true, β = -0.1363837311509272 - 0.44556462166033217im/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.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::Matrix{Int64}, α, β)/α = 1.0 + 0.0im, β = 1.8694013359310184 - 0.2936028102744962im/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.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Tridiagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = -0.09375503134516752, β = false/adjoint and transpose/fa = transpose, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = -1.388081971045836 - 2.6423541462335987im, β = 0.0 + 0.0im @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Tridiagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = true, β = false/adjoint and transpose/fa = adjoint, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.Diagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.Diagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, α, β)/α = true, β = -0.5732694387872251 + 0.5806821896406027im/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/dense/For A containing Int64/For b containing ComplexF64/Test nullspace @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-063c75e4f2/share/julia/stdlib/v1.13/LinearAlgebra/test/dense.jl:121 =# @inferred(nullspace(zeros(0, n))) == Matrix(I, n, n)stdlib/LinearAlgebra/test/dense.jl:121github100% reliable0μs average duration
- reduce @test mapreduce(*, ((x, y)->begin #= /cache/build/default-aws-aarch64-ci-1-4/julialang/julia-master/julia-c0b3248ed0/share/julia/test/reduce.jl:66 =# "($(x)+$(y))" end), ["a", "b", "c"], ["d", "e", "f"]) == "((ad+be)+cf)"share/julia/test/reduce.jl:66github100% reliable0μs average duration
- numbers/constructor inferability for BigFloat @test all((m->begin #= /cache/build/tester-amdci4-14/julialang/julia-master/julia-ffb7dbe23b/share/julia/test/numbers.jl:3002 =# m.file === Symbol("deprecated.jl") end), (collect(methods(T)))[findall((R->(#= /cache/build/tester-amdci4-14/julialang/julia-master/julia-ffb7dbe23b/share/julia/test/numbers.jl:3003 =# !(R <: T))), Base.return_types(T))])share/julia/test/numbers.jl:3002github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::Matrix{Float32}, ::LinearAlgebra.UnitUpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 1.0, β = 0.1032810000927708/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