Tests
- LinearAlgebra/addmul/mul!(::LinearAlgebra.UpperTriangular{BigFloat, S} where S<:AbstractMatrix{BigFloat}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 0.431871992610874944062970826053060591220855712890625, β = 0.0/β = 0 ignores C .= NaN @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Printf/Printf/integers @test #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZQ07FJYVY.0/build/default-grannysmith-C07ZQ07FJYVY-0/julialang/julia-master/julia-6fdadff21c/share/julia/stdlib/v1.13/Printf/test/runtests.jl:742 =# Printf.@sprintf("%20.10X", UInt(3989525555)) == " 00EDCB5433"stdlib/Printf/test/runtests.jl:742github100% reliable0μs average duration
- rebinding @test Base.binding_kind(#= /cache/build/tester-amdci5-11/julialang/julia-master/julia-2ae89abaa5/share/julia/test/rebinding.jl:14 =# @__MODULE__(), :Foo) == Base.PARTITION_KIND_CONSTshare/julia/test/rebinding.jl:14github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.Symmetric{Int64, S} where S<:(AbstractMatrix{<:Int64}), ::Matrix{Float32}, α, β)/α = -0.32676929530742904, β = 0.0/adjoint and transpose/fa = adjoint, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.LowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, ::LinearAlgebra.Tridiagonal{BigFloat, V} where V<:AbstractVector{BigFloat}, α, β)/α = 1.0, β = -0.66084898339834696745498376913019455969333648681640625/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{ComplexF64}, ::LinearAlgebra.UpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.Bidiagonal{Int64, V} where V<:AbstractVector{Int64}, α, β)/α = -1.0199218860531023 + 1.5154636769055163im, β = 0.0 + 0.0im @test ≈(collect(returned_mat), exp_val, rtol = rtol, atol = atol)stdlib/LinearAlgebra/test/addmul.jl:145github100% reliable0μs average duration
- corelogging/Logging/Basic logging @test #= /cache/build/tester-amdci5-12/julialang/julia-master/julia-c75cf3ff62/share/julia/test/corelogging.jl:20 =# @debug "a"share/julia/test/corelogging.jl:20github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{ComplexF64}, ::LinearAlgebra.Diagonal{ComplexF64, V} where V<:AbstractVector{ComplexF64}, ::LinearAlgebra.UnitUpperTriangular{Int64, S} where S<:AbstractMatrix{Int64}, α, β)/α = 0.07244061842079465 - 0.18598505092427442im, 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
- iterators/Iterators.Stateful @test #= C:\buildkite-agent\builds\win2k22-amdci6-0\julialang\julia-master\julia-0f03a4b837\share\julia\test\iterators.jl:829 =# @inferred isempty(collect(zip(a, b, c)))share/julia/test/iterators.jl:829github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{Float64}, ::LinearAlgebra.SymTridiagonal{Float64, V} where V<:AbstractVector{Float64}, ::LinearAlgebra.Bidiagonal{Float64, V} where V<:AbstractVector{Float64}, α, β)/α = 0.6527925819416146, β = 0.0/adjoint and transpose/fa = transpose, fb = transpose @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- LinearAlgebra/diagonal/relty = BigFloat, elty = Complex{BigFloat}/Binary operations @test begin #= /cache/build/default-aws-aarch64-ci-0-3/julialang/julia-master/julia-5fe40c6d34/share/julia/stdlib/v1.13/LinearAlgebra/test/diagonal.jl:320 =# UUU = similar(UU) #= /cache/build/default-aws-aarch64-ci-0-3/julialang/julia-master/julia-5fe40c6d34/share/julia/stdlib/v1.13/LinearAlgebra/test/diagonal.jl:321 =# UUU .= randn(size(UUU)) #= /cache/build/default-aws-aarch64-ci-0-3/julialang/julia-master/julia-5fe40c6d34/share/julia/stdlib/v1.13/LinearAlgebra/test/diagonal.jl:322 =# r = alpha * Matrix(D) * UU + beta * UUU #= /cache/build/default-aws-aarch64-ci-0-3/julialang/julia-master/julia-5fe40c6d34/share/julia/stdlib/v1.13/LinearAlgebra/test/diagonal.jl:323 =# mul!(UUU, D, UU, alpha, beta) ≈ r ≈ UUU endstdlib/LinearAlgebra/test/diagonal.jl:319github100% reliable0μs average duration
- syntax @test Meta.lower(#= /cache/build/tester-amdci4-12/julialang/julia-master/julia-81019704a2/share/julia/test/syntax.jl:1522 =# @__MODULE__(), :([if true #= /cache/build/tester-amdci4-12/julialang/julia-master/julia-81019704a2/share/julia/test/syntax.jl:1522 =# break end for i = 1:1])) == Expr(:error, "break or continue outside loop")share/julia/test/syntax.jl:1522github100% reliable0μs average duration
- fastmath/basic arithmetic @test #= /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-7fdea0a54a/share/julia/test/fastmath.jl:76 =# @fastmath(-two) ≈ -twoshare/julia/test/fastmath.jl:76github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::LinearAlgebra.LowerTriangular{ComplexF64, S} where S<:AbstractMatrix{ComplexF64}, ::LinearAlgebra.LowerTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.LowerTriangular{Int32, S} where S<:AbstractMatrix{Int32}, α, β)/α = 1.0 + 0.0im, β = 1.8011842403386982 - 1.8556776080059518im @test returned_mat === Ccopystdlib/LinearAlgebra/test/addmul.jl:141github100% reliable0μs average duration
- Compiler/inference @test Base.return_types((Float64,)) do x #= /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-grannysmith-C07ZM05NJYVY.0/build/default-grannysmith-C07ZM05NJYVY-0/julialang/julia-master/julia-eeb64a0ab4/share/julia/Compiler/test/inference.jl:5372 =# issue48679_const(x, false) end |> only == Type{Float64}share/julia/Compiler/test/inference.jl:5371github100% reliable0μs average duration
- SparseArrays/sparsematrix_constructors_indexing/sparse and dense concatenations @test issparse(#= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-3/julialang/julia-master/julia-0933932b1c/share/julia/stdlib/v1.13/SparseArrays/test/sparsematrix_constructors_indexing.jl:1061 =# @inferred(hvcat((2,), spmat, spmat)))stdlib/SparseArrays/test/sparsematrix_constructors_indexing.jl:1061github100% reliable0μs average duration
- corelogging/Logging/complicated kwargs logging macro @test #= C:\buildkite-agent\builds\win2k22-amdci6-6\julialang\julia-master\julia-2edbf8cd5e\share\julia\test\corelogging.jl:458 =# @warn "foo" argvals = :((DoNotCare{$(Expr(:escape, :Any))}(),))share/julia/test/corelogging.jl:458github100% reliable0μs average duration
- arrayops/operations with IndexLinear ReshapedArray/insertdims @test #= C:\buildkite-agent\builds\win2k22-amdci6-5\julialang\julia-master\julia-905fcfc068\share\julia\test\arrayops.jl:317 =# @inferred(insertdims(a, dims = (1, 3, 5))) == reshape(a, (1, 8, 1, 7, 1))share/julia/test/arrayops.jl:317github100% reliable0μs average duration
- Compiler/inference @test Base.return_types((Float64,)) do x #= /usr/home/julia/.buildkite-agent/builds/freebsd13-amdci6-1/julialang/julia-master/julia-987a82ee07/share/julia/Compiler/test/inference.jl:5372 =# issue48679_const(x, false) end |> only == Type{Float64}share/julia/Compiler/test/inference.jl:5371github100% reliable0μs average duration
- LinearAlgebra/addmul/mul!(::Matrix{BigFloat}, ::LinearAlgebra.UnitUpperTriangular{Float32, S} where S<:AbstractMatrix{Float32}, ::LinearAlgebra.UnitLowerTriangular{Float64, S} where S<:AbstractMatrix{Float64}, α, β)/α = true, β = 0.46063304093551982187904059173888526856899261474609375/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