Tests
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = 0.6131141262837329 + 0.715235704191219im, β = false/adjoint and transpose/fa = transpose, fb = transpose @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{Int64, V} where V<:AbstractVector{Int64}, ::LinearAlgebra.Bidiagonal{Float32, V} where V<:AbstractVector{Float32}, α, β)/α = true, β = 0.7518125988032048 + 0.11037159476342799im/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
- iterators @test #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-4a3eba3b91/share/julia/test/iterators.jl:481 =# @inferred(Base.IteratorEltype(product(1:2, f1))) == Base.HasEltype()share/julia/test/iterators.jl:481github100% reliable0μs average duration
- SparseArrays/higherorderfns/sparse vector broadcast of two arguments @test #= /cache/build/tester-amdci4-10/julialang/julia-master/julia-b23f2921dc/share/julia/stdlib/v1.13/SparseArrays/test/higherorderfns.jl:555 =# @inferred(f(Vector(sa), sb))::SparseVector == f(fa, fb)stdlib/SparseArrays/test/higherorderfns.jl:555github100% reliable0μs average duration
- syntax/property destructuring @test Meta.isexpr(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-9d00b57577/share/julia/test/syntax.jl:2955 =# Meta.@lower(f((; a, b::Int)) = begin #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-2/julialang/julia-master/julia-9d00b57577/share/julia/test/syntax.jl:2955 =# a + b end), :error)share/julia/test/syntax.jl:2955github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.Diagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.Diagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Diagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = -1.3467461996033205 + 1.31605023019215im, β = -1.3467461996033205 + 1.31605023019215im/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}, ::LinearAlgebra.UnitLowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.Hermitian{Float64, S} where S<:(AbstractMatrix{<:Float64}), α, β)/α = true, β = -0.010925816611443082/adjoint and transpose/fa = adjoint, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::Matrix{ComplexF32}, ::LinearAlgebra.Tridiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 0.025056118217465013 - 1.8742062360890057im, β = false/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- atomics/Main.Test100Main_atomics.ARefxy{Union{Nothing, Int32}}(nothing, 1231) @test_throws nothing modifyfield!(r, :y, swap, y, :monotonic)share/julia/test/atomics.jl:226github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.LowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = true, β = false/adjoint and transpose/fa = transpose, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- ranges/Type-stable intersect (#32410) @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-9d00b57577/share/julia/test/ranges.jl:2169 =# @inferred(intersect(1:5, T(5:-2:1))) == 1:2:5share/julia/test/ranges.jl:2169github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Tridiagonal{ComplexF32, V} where V<:AbstractVector{ComplexF32}, α, β)/α = -0.11537279616445215 - 0.6498105639914016im, β = -0.11537279616445215 - 0.6498105639914016im/adjoint and transpose/fa = adjoint, fb = identity @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Hermitian{BigFloat, S} where S<:(AbstractMatrix{<:BigFloat}), ::LinearAlgebra.Hermitian{Float32, S} where S<:(AbstractMatrix{<:Float32}), α, β)/α = true, β = -0.243198240586628366965982195324613712728023529052734375/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/tridiag/elty = Float32/tril/triu @test #= /cache/build/tester-amdci4-8/julialang/julia-master/julia-70c2516859/share/julia/stdlib/v1.13/LinearAlgebra/test/tridiag.jl:165 =# @inferred(triu(Tridiagonal(dl, d, du), 1)) == Tridiagonal(zerosdl, zerosd, du)stdlib/LinearAlgebra/test/tridiag.jl:165github100% reliable0μs average duration
- env @test withenv(Dict{Any, Any}()...) do #= /cache/build/tester-amdci4-10/julialang/julia-buildkite/julia-3627a85749/share/julia/test/env.jl:92 =# true endshare/julia/test/env.jl:92github100% reliable0μs average duration
- Printf/Printf/dynamic @test #= /cache/build/tester-amdci4-14/julialang/julia-master/julia-f1ed02d059/share/julia/stdlib/v1.13/Printf/test/runtests.jl:962 =# Printf.@sprintf("%*.*d", 10, 4, 12) == #= /cache/build/tester-amdci4-14/julialang/julia-master/julia-f1ed02d059/share/julia/stdlib/v1.13/Printf/test/runtests.jl:962 =# Printf.@sprintf("%10.4d", 12)stdlib/Printf/test/runtests.jl:962github100% reliable0μs average duration
- dict/ImmutableDict @test get(d1, "key1") do #= /cache/build/tester-amdci5-9/julialang/julia-master/julia-f83f697d5d/share/julia/test/dict.jl:874 =# f(2) end === v1share/julia/test/dict.jl:873github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.Hermitian{Float64, S} where S<:(AbstractMatrix{<:Float64}), ::LinearAlgebra.SymTridiagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, α, β)/α = -0.53077174239265134669807366663007996976375579833984375, β = 0.0 @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- missing @test begin sortperm(reverse([NaN, missing, NaN, missing])) #= /cache/build/tester-amdci5-14/julialang/julia-master/julia-92d2c59e53/share/julia/test/missing.jl:645 =# true endshare/julia/test/missing.jl:645github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.Diagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = -1.2640553969167946934959445570711977779865264892578125, β = 0.0/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration