Tests
- atomics/Main.Test7Main_atomics.ARefxy{Float64}(NaN, Inf) @test_throws nothing replacefield!(r, :y, y, y, :monotonic, :not_atomic)share/julia/test/atomics.jl:235github100% reliable0μs average duration
- LinearAlgebra/triangular2/elty1 = BigFloat/(t1, uplo1) = (LinearAlgebra.UnitUpperTriangular, :U) @test sqrt(A1) |> (t->begin #= /cache/build/default-aws-aarch64-ci-0-4/julialang/julia-master/julia-861b454e15/share/julia/stdlib/v1.13/LinearAlgebra/test/testtriag.jl:285 =# (t * t)::typeof(t) end) ≈ A1stdlib/LinearAlgebra/test/testtriag.jl:285github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 0.549362940894099, β = 0.549362940894099/β = 0 ignores C .= NaN @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- reflection/Base.infer_effects @test begin Base.infer_effects(Core.Intrinsics.mul_int, ()) #= /cache/build/tester-amdci5-15/julialang/julia-master/julia-26efc09935/share/julia/test/reflection.jl:1162 =# true endshare/julia/test/reflection.jl:1162github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Int32, S} where S<:AbstractMatrix{Int32}, α, β)/α = -2.014955464750543878693633814691565930843353271484375, β = false @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Dates/ranges @test map(length, drs) == map((x->begin #= /cache/build/tester-amdci4-12/julialang/julia-master/julia-54b8f04ea2/share/julia/stdlib/v1.13/Dates/test/ranges.jl:297 =# length(reverse(x)) end), drs)stdlib/Dates/test/ranges.jl:297github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UpperTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, ::LinearAlgebra.Bidiagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, α, β)/α = -0.40506193203933855 - 0.0860298317020988im, β = false/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/diagonal/relty = Float32, elty = ComplexF32/Binary operations @test begin #= /cache/build/tester-amdci4-13/julialang/julia-master/julia-d448a7aad5/share/julia/stdlib/v1.13/LinearAlgebra/test/diagonal.jl:313 =# vvv = similar(vv) #= /cache/build/tester-amdci4-13/julialang/julia-master/julia-d448a7aad5/share/julia/stdlib/v1.13/LinearAlgebra/test/diagonal.jl:314 =# vvv .= randn(size(vvv)) #= /cache/build/tester-amdci4-13/julialang/julia-master/julia-d448a7aad5/share/julia/stdlib/v1.13/LinearAlgebra/test/diagonal.jl:315 =# r = alpha * transpose(Matrix(D)) * vv + beta * vvv #= /cache/build/tester-amdci4-13/julialang/julia-master/julia-d448a7aad5/share/julia/stdlib/v1.13/LinearAlgebra/test/diagonal.jl:316 =# mul!(vvv, transpose(D), vv, alpha, beta) ≈ r ≈ vvv endstdlib/LinearAlgebra/test/diagonal.jl:312github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Bidiagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.UnitLowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = true, β = -0.9195508250296112 - 0.6903936379700506im/adjoint and transpose/fa = identity, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitLowerTriangular{Int32, S} where S<:AbstractMatrix{Int32}, ::LinearAlgebra.UpperTriangular{Int32, S} where S<:AbstractMatrix{Int32}, α, β)/α = -1.3457619333242132 - 0.3735732442166527im, β = 0.0 + 0.0im/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
- Compiler/effects @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-bb8d27a07f/share/julia/Compiler/test/effects.jl:637 =# @eval fully_eliminated() do #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-bb8d27a07f/share/julia/Compiler/test/effects.jl:638 =# ($f)() #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-bb8d27a07f/share/julia/Compiler/test/effects.jl:639 =# nothing endshare/julia/Compiler/test/effects.jl:637github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 0.8292863046010803, β = 0.0/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.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = -0.7399289471596184331048107196693308651447296142578125, β = -0.7399289471596184331048107196693308651447296142578125 @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- iterators @test #= /cache/build/tester-amdci4-15/julialang/julia-master/julia-71a9406bc7/share/julia/test/iterators.jl:194 =# @inferred(length(drop(UInt(1):2, 3))) == 0share/julia/test/iterators.jl:194github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = -1.8424586593268779122212208676501177251338958740234375, 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
- SparseArrays/sparsevector/basic properties @test #= /cache/build/tester-amdci4-11/julialang/julia-master/julia-8b14690737/share/julia/stdlib/v1.13/SparseArrays/test/sparsevector.jl:42 =# @inferred size(y) == (#= /cache/build/tester-amdci4-11/julialang/julia-master/julia-8b14690737/share/julia/stdlib/v1.13/SparseArrays/test/sparsevector.jl:42 =# @inferred(length(y))::Int8,)stdlib/SparseArrays/test/sparsevector.jl:42github100% reliable0μs average duration
- Compiler/inference @test Base.return_types((Function,)) do f #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-123a556434/share/julia/Compiler/test/inference.jl:3985 =# map((1, 2, 3)) do x #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-123a556434/share/julia/Compiler/test/inference.jl:3986 =# #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-123a556434/share/julia/Compiler/test/inference.jl:3986 =# Base.@constprop :aggressive #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-123a556434/share/julia/Compiler/test/inference.jl:3987 =# f(x) #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-123a556434/share/julia/Compiler/test/inference.jl:3988 =# return Val{x}() end end |> only == Tuple{Val{1}, Val{2}, Val{3}}share/julia/Compiler/test/inference.jl:3984github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = true, β = -1.0031887402892936/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/adjtrans/test show methods for adjoint of Factorizations @test sprint(((io, t)->begin #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZQ07RJYVY.0/build/default-grannysmith-C07ZQ07RJYVY-0/julialang/julia-master/julia-0c4003be4d/share/julia/stdlib/v1.13/LinearAlgebra/test/adjtrans.jl:544 =# show(io, (MIME"text/plain")(), t) end), Fop) == "$(t) of " * sprint(((io, t)->begin #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZQ07RJYVY.0/build/default-grannysmith-C07ZQ07RJYVY-0/julialang/julia-master/julia-0c4003be4d/share/julia/stdlib/v1.13/LinearAlgebra/test/adjtrans.jl:545 =# show(io, (MIME"text/plain")(), t) end), parent(Fop))stdlib/LinearAlgebra/test/adjtrans.jl:544github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Tridiagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = true, β = -0.10529809003292902/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