Tests
- iterators @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-XG3Q6T6R70.0/build/default-honeycrisp-XG3Q6T6R70-0/julialang/julia-master/julia-080f9b21d7/share/julia/test/iterators.jl:459 =# @inferred(Base.IteratorSize(product(1:2, f1))) == Base.SizeUnknown()share/julia/test/iterators.jl:459github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.LowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{Int32, S} where S<:AbstractMatrix{Int32}, α, β)/α = 1.0 + 0.0im, β = 0.0 + 0.0im/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
- syntax @test Meta.lower(#= /cache/build/default-aws-aarch64-ci-0-0/julialang/julia-master/julia-17468dfee8/share/julia/test/syntax.jl:1208 =# @__MODULE__(), :((x->begin #= /cache/build/default-aws-aarch64-ci-0-0/julialang/julia-master/julia-17468dfee8/share/julia/test/syntax.jl:1208 =# abstract type Foo end end))) == Expr(:error, "\"abstract type\" expression not at top level")share/julia/test/syntax.jl:1208github100% reliable0μs average duration
- iterators/Iterators.Stateful @test !(#= /cache/build/tester-amdci4-12/julialang/julia-master/julia-080f9b21d7/share/julia/test/iterators.jl:833 =# @inferred(isempty(a)))share/julia/test/iterators.jl:833github100% reliable0μs average duration
- LinearAlgebra/lq/eltya = Float64, n = 13/eltyb = ComplexF32/isview = true/Binary ops @test ≈(begin sq = size(q.factors, 2) #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-b00cebfc7f\share\julia\stdlib\v1.13\LinearAlgebra\test\lq.jl:72 =# (Matrix{eltyb}(I, sq, sq) * adjoint(q)) * squareQ(q) end, Matrix(I, n, n), rtol = 5000ε)stdlib/LinearAlgebra/test/lq.jl:72github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Hermitian{Float32, S} where S<:(AbstractMatrix{<:Float32}), ::LinearAlgebra.Bidiagonal{Int32, V} where V<:AbstractVector{Int32}, α, β)/α = 1.0, β = 0.7358830612393128/adjoint and transpose/fa = transpose, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- iterators/Stateful fix #30643 @test #= /cache/build/tester-amdci4-10/julialang/julia-master/julia-ed3fccc0be/share/julia/test/iterators.jl:909 =# @inferred(Base.IteratorSize(1:10)) isa Base.HasShape{1}share/julia/test/iterators.jl:909github100% reliable0μs average duration
- atomics/Main.Test89Main_atomics.ARefxy{Any}(true, false) @test_throws nothing isdefined(r, :y, :monotonic)share/julia/test/atomics.jl:185github100% reliable0μs average duration
- sorting/Small calls do not unnecessarily allocate @test 2 >= #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-d6fdbf5212\share\julia\test\sorting.jl:1027 =# @allocations(sortperm(v, rev = true))share/julia/test/sorting.jl:1027github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.UpperTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = 0.304639666586675961212904439889825880527496337890625, β = false/α = 0 ignores A .= NaN @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-XG3Q6T6R70.0/build/default-honeycrisp-XG3Q6T6R70-0/julialang/julia-master/julia-400d0b12d2/share/julia/stdlib/v1.13/Printf/test/runtests.jl:493 =# @sprintf("%d", 3 // 1) == "3"stdlib/Printf/test/runtests.jl:493github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Tridiagonal{Float32, V} where V<:AbstractVector{Float32}, ::LinearAlgebra.Bidiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 0.37011699090278194 + 0.7068553391002595im, β = 0.0 + 0.0im/adjoint and transpose/fa = identity, fb = adjoint @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{ComplexF32, S} where S<:AbstractMatrix{ComplexF32}, ::LinearAlgebra.Hermitian{Int64, S} where S<:(AbstractMatrix{<:Int64}), α, β)/α = true, β = -1.329820669721707 - 0.7124041444380566im/adjoint and transpose/fa = identity, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.SymTridiagonal{Int32, V} where V<:AbstractVector{Int32}, ::LinearAlgebra.UpperTriangular{Int32, S} where S<:AbstractMatrix{Int32}, α, β)/α = 1.0, β = 0.0/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- atomics @test_throws nothing #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-HL2F7YQ3XH.0/build/default-honeycrisp-HL2F7YQ3XH-0/julialang/julia-master/julia-7c1559a687/share/julia/test/atomics.jl:773 =# @atomiconce :not_atomic a.x = 2share/julia/test/atomics.jl:773github100% reliable0μs average duration
- LinearAlgebra/bidiag/relty = Int32, elty = Int32/uplo = L/diag @test #= /cache/build/tester-amdci5-9/julialang/julia-master/julia-0c0dfc4f00/share/julia/stdlib/v1.13/LinearAlgebra/test/bidiag.jl:402 =# @inferred(diag(G, 2))::typeof(gdv) == GenericArray(zeros(elty, n - 2))stdlib/LinearAlgebra/test/bidiag.jl:402github100% reliable0μs average duration
- Profile/alloc profiler works when there are multiple tasks on multiple threads/type = Vector{Float64} @test length(filter((a->begin #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-honeycrisp-HL2F7YQ3XH.0/build/default-honeycrisp-HL2F7YQ3XH-0/julialang/julia-master/julia-39be00478f/share/julia/stdlib/v1.13/Profile/test/allocs.jl:82 =# a.type <: type end), profile.allocs)) >= NUM_TASKSstdlib/Profile/test/allocs.jl:82github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.UnitLowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, α, β)/α = true, β = -0.7142810565713863/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
- bitarray/map over bitarrays/map! for length 0 @test map!(⊻, b, b1, b2) == map!(((x, y)->begin #= /cache/build/tester-amdci5-13/julialang/julia-master/julia-9cd212b64c/share/julia/test/bitarray.jl:1497 =# x ⊻ y end), b, b1, b2) == broadcast(⊻, b1, b2) == broadcast(xor, b1, b2) == bshare/julia/test/bitarray.jl:1497github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UnitLowerTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 0.7736834831626233, 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