Tests
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::Matrix{Float64}, ::LinearAlgebra.Diagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, α, β)/α = 1.0, β = 0.10454151826314243833859762844440410844981670379638671875/adjoint and transpose/fa = transpose, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Bidiagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, ::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, α, β)/α = -1.142383001713147994138353169546462595462799072265625, β = -1.142383001713147994138353169546462595462799072265625 @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Bidiagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.Hermitian{Float32, S} where S<:(AbstractMatrix{<:Float32}), α, β)/α = 0.1482784212966749282092138173538842238485813140869140625, β = 0.0/adjoint and transpose/fa = identity, fb = adjoint @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UnitLowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = 1.0, β = -0.5699005821585722/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- abstractarray @test #= /cache/build/default-aws-aarch64-ci-1-3/julialang/julia-master/julia-5cfdf66d30/share/julia/test/abstractarray.jl:829 =# @inferred(cat(As...; dims = Val((1, 2)))) == zeros(4, 4)share/julia/test/abstractarray.jl:829github100% reliable0μs average duration
- math/hypot/BigFloat @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-e4bed8821c/share/julia/test/math.jl:1380 =# @inferred(hypot(x, x / 4)) ≈ x * sqrt(17 / BigFloat(16))share/julia/test/math.jl:1380github100% reliable0μs average duration
- Dates/io/inference with dynamic dateformat string @test #= /cache/build/tester-amdci5-14/julialang/julia-master/julia-0d4d6d927d/share/julia/stdlib/v1.13/Dates/test/io.jl:619 =# @inferred(Nothing, g()) == datetimestdlib/Dates/test/io.jl:619github100% reliable0μs average duration
- reducedim/test reductions over region: (2, 3) @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-17aa5d1288/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
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.Diagonal{Int32, V} where V<:AbstractVector{Int32}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = true, β = 0.0 + 0.0im @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Printf/Printf/%a @test #= C:\buildkite-agent\builds\win2k22-amdci6-3\julialang\julia-master\julia-226a718e2a\share\julia\stdlib\v1.13\Printf\test\runtests.jl:47 =# Printf.@sprintf("%#.2a", 3.14) == "0x1.92p+1"stdlib/Printf/test/runtests.jl:47github100% reliable0μs average duration
- opaque_closure @test any(stacktrace(bt)) do frame #= /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-4969ab080f/share/julia/test/opaque_closure.jl:350 =# li = frame.linfo #= /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-4969ab080f/share/julia/test/opaque_closure.jl:351 =# li isa Core.CodeInstance && (li = li.def) #= /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-4969ab080f/share/julia/test/opaque_closure.jl:352 =# li isa Core.ABIOverride && (li = li.def) #= /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-4969ab080f/share/julia/test/opaque_closure.jl:353 =# li isa Core.MethodInstance || return false #= /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-4969ab080f/share/julia/test/opaque_closure.jl:354 =# li.def isa Method || return false #= /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-4969ab080f/share/julia/test/opaque_closure.jl:355 =# return li.def.is_for_opaque_closure endshare/julia/test/opaque_closure.jl:349github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.SymTridiagonal{Int32, V} where V<:AbstractVector{Int32}, ::LinearAlgebra.SymTridiagonal{Int32, V} where V<:AbstractVector{Int32}, α, β)/α = true, β = 0.10351021968229442/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
- arrayops/CartesianIndex @test a[[CartesianIndex(1, 3), CartesianIndex(2, 4)], 3:3] == #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-8fd3fb1182/share/julia/test/arrayops.jl:2092 =# @view(a[[CartesianIndex(1, 3), CartesianIndex(2, 4)], 3:3]) == reshape([a[1, 3, 3]; a[2, 4, 3]], 2, 1)share/julia/test/arrayops.jl:2091github100% reliable0μs average duration
- broadcast/Issue #5187: Broadcasting of short-circuiting ops @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-0360723c4b/share/julia/test/broadcast.jl:1067 =# @__dot__(iseven(r) && f(o)) == [false, 1, false, 2]share/julia/test/broadcast.jl:1067github100% reliable0μs average duration
- llvmcall2 @test_throws nothing #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-8cd20d4028/share/julia/test/llvmcall2.jl:55 =# @eval ccall("llvm.floor.f64", llvmcall, Int, (Int,), 0)share/julia/test/llvmcall2.jl:55github100% reliable0μs average duration
- iterators/exact partition eltypes @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-HL2F7YQ3XH.0/build/default-honeycrisp-HL2F7YQ3XH-0/julialang/julia-master/julia-1c876cf576/share/julia/test/iterators.jl:669 =# @inferred(eltype(P)) === typeof(first(P))share/julia/test/iterators.jl:669github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.Diagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.Diagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = -0.04414766225642463570721929499995894730091094970703125, β = -0.04414766225642463570721929499995894730091094970703125 @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.Tridiagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = -1.5899444981687172 + 0.13152953692986785im, β = -1.5899444981687172 + 0.13152953692986785im/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
- subtype @test _type_intersect($(Expr(:escape, :(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-845cea7f9f/share/julia/test/subtype.jl:756 =# @UnionAll Integer <: T <: Number Array{T}))), $(Expr(:escape, :(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-845cea7f9f/share/julia/test/subtype.jl:756 =# @UnionAll T <: String Array{T})))) == $(Expr(:escape, :Bottom))share/julia/test/subtype.jl:756github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.Diagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, α, β)/α = 1.9383084456305568 + 0.08147319973828011im, β = 1.9383084456305568 + 0.08147319973828011im/α = 0 ignores A .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration