Package evaluation of SparseDiffTools on Julia 1.10.8 (92f03a4775*) started at 2025-02-25T09:08:00.946 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 5.93s ################################################################################ # Installation # Installing SparseDiffTools... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [47a9eef4] + SparseDiffTools v2.23.1 Updating `~/.julia/environments/v1.10/Manifest.toml` [47edcb42] + ADTypes v1.13.0 [7d9f7c33] + Accessors v0.1.41 [79e6a3ab] + Adapt v4.2.0 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.18.0 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.5.8 [864edb3b] + DataStructures v0.18.20 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.3 [6a86dc24] + FiniteDiff v2.27.0 [f6369f11] + ForwardDiff v0.10.38 [86223c79] + Graphs v1.12.0 [615f187c] + IfElse v0.1.1 [d25df0c9] + Inflate v0.1.5 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.15 [77ba4419] + NaNMath v1.1.2 [bac558e1] + OrderedCollections v1.8.0 [65ce6f38] + PackageExtensionCompat v1.0.2 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.0 [c0aeaf25] + SciMLOperators v0.3.12 [efcf1570] + Setfield v1.1.1 [699a6c99] + SimpleTraits v0.9.4 [47a9eef4] + SparseDiffTools v2.23.1 [276daf66] + SpecialFunctions v2.5.0 [aedffcd0] + Static v1.1.1 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.12 [1e83bf80] + StaticArraysCore v1.4.3 [3a884ed6] + UnPack v1.0.2 [19fa3120] + VertexSafeGraphs v0.2.0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [8ba89e20] + Distributed [9fa8497b] + Future [b77e0a4c] + InteractiveUtils [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [d6f4376e] + Markdown [a63ad114] + Mmap [ca575930] + NetworkOptions v1.2.0 [de0858da] + Printf [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [1a1011a3] + SharedArrays [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.2+1 [4536629a] + OpenBLAS_jll v0.3.23+4 [05823500] + OpenLibm_jll v0.8.1+4 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 Installation completed after 9.76s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 73.66s ################################################################################ # Testing # Testing SparseDiffTools Status `/tmp/jl_WyYUx0/Project.toml` [47edcb42] ADTypes v1.13.0 [79e6a3ab] Adapt v4.2.0 [9b6a8646] AllocCheck v0.2.1 [4fba245c] ArrayInterface v7.18.0 [aae01518] BandedMatrices v1.9.1 [ffab5731] BlockBandedMatrices v0.13.4 [34da2185] Compat v4.16.0 [864edb3b] DataStructures v0.18.20 [7da242da] Enzyme v0.13.30 [6a86dc24] FiniteDiff v2.27.0 [f6369f11] ForwardDiff v0.10.38 [86223c79] Graphs v1.12.0 [42fd0dbc] IterativeSolvers v0.9.4 [65ce6f38] PackageExtensionCompat v1.0.2 [98d1487c] PolyesterForwardDiff v0.1.2 [189a3867] Reexport v1.2.2 [1bc83da4] SafeTestsets v0.1.0 [c0aeaf25] SciMLOperators v0.3.12 [efcf1570] Setfield v1.1.1 [47a9eef4] SparseDiffTools v2.23.1 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.12 [0c5d862f] Symbolics v6.29.1 [3a884ed6] UnPack v1.0.2 [19fa3120] VertexSafeGraphs v0.2.0 ⌅ [e88e6eb3] 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marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Test Summary: | Pass Total Time Exact coloring via contraction | 20 20 5.9s 6.518597 seconds (1.63 M allocations: 109.257 MiB, 3.14% gc time, 68.50% compilation time) Test Summary: | Pass Total Time Greedy distance-1 coloring | 20 20 0.3s 0.288590 seconds (56.22 k allocations: 3.911 MiB, 92.42% compilation time) Test Summary: | Pass Total Time Greedy star coloring | 814 814 1.1s 1.142117 seconds (174.36 k allocations: 11.732 MiB, 3.97% gc time, 93.36% compilation time) Test Summary: | Pass Total Time Acyclic coloring | 1563162 1563162 12.1s 12.103808 seconds (47.00 M allocations: 2.967 GiB, 11.57% gc time, 15.85% compilation time) ┌ Warning: Assignment to `n` in soft scope is ambiguous because a global variable by the same name exists: `n` will be treated as a new local. Disambiguate by using `local n` to suppress this warning or `global n` to assign to the existing global variable. └ @ ~/.julia/packages/SparseDiffTools/rjbzw/test/test_matrix2graph.jl:11 [ Info: stored zeros Test Summary: | Pass Total Time Matrix to graph conversion | 127040 127040 4.1s 4.133724 seconds (4.07 M allocations: 437.821 MiB, 3.20% gc time, 79.26% compilation time) Test Summary: | Pass Total Time Hessian colorvecs | 100 100 2m53.2s 173.175314 seconds (18.41 M allocations: 1.231 GiB, 0.26% gc time, 24.29% compilation time: 6% of which was recompilation) Test Summary: | Pass Total Time Integration test | 7 7 10.3s 10.267578 seconds (4.23 M allocations: 288.405 MiB, 0.86% gc time, 99.56% compilation time) Test Summary: | Pass Total Time Special matrices | 88 88 34.3s 34.323249 seconds (6.53 M allocations: 536.852 MiB, 0.43% gc time, 39.17% compilation time) [ Info: ended definitions [ Info: second passed [ Info: third passed [ Info: 4th passed [ Info: 5 WARNING: Method definition f(Any, Any) in module ##AD using colorvec vector#233 at /home/pkgeval/.julia/packages/SparseDiffTools/rjbzw/test/test_ad.jl:10 overwritten at /home/pkgeval/.julia/packages/SparseDiffTools/rjbzw/test/test_ad.jl:247. WARNING: Method definition oopf(Any) in module ##AD using colorvec vector#233 at /home/pkgeval/.julia/packages/SparseDiffTools/rjbzw/test/test_ad.jl:20 overwritten at /home/pkgeval/.julia/packages/SparseDiffTools/rjbzw/test/test_ad.jl:269. Test Summary: | Pass Total Time AD using colorvec vector | 53 53 19m13.2s 1153.222257 seconds (239.97 M allocations: 92.394 GiB, 2.85% gc time, 87.63% compilation time: <1% of which was recompilation) [ Info: JacVec ┌ Warning: `p` and/or `t` provided and are not `nothing`. But we │ potentially detected `f(du, u)` or `f(u)`. This can be caused by: │ │ 1. `f(du, u)` or `f(u)` is defined, in-which case `p` and/or `t` should not │ be supplied. │ 2. `f(args...)` is defined, in which case `hasmethod` can be spurious. │ │ Currently, we perform the check for `f(du, u)` and `f(u)` first, but in │ future breaking releases, this check will be performed last, which means │ that if `t` is provided `f(du, u, p, t)`/`f(u, p, t)` will be given │ precedence, similarly if `p` is provided `f(du, u, p)`/`f(u, p)` will be │ given precedence. │ caller = JacVec(f::Main.var"##Jac Vecs and Hes Vecs#234".WrapFunc{typeof(Main.var"##Jac Vecs and Hes Vecs#234"._f), Float64, Float64}, u::Vector{Float64}, p::Float64, t::Float64; fu::Nothing, autodiff::ADTypes.AutoForwardDiff{nothing, Nothing}, tag::SparseDiffTools.DeivVecTag, use_deprecated_ordering::Val{true}, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}) at jaches_products.jl:265 └ @ SparseDiffTools ~/.julia/packages/SparseDiffTools/rjbzw/src/differentiation/jaches_products.jl:265 ┌ Warning: `p` and/or `t` provided and are not `nothing`. But we │ potentially detected `f(du, u)` or `f(u)`. This can be caused by: │ │ 1. `f(du, u)` or `f(u)` is defined, in-which case `p` and/or `t` should not │ be supplied. │ 2. `f(args...)` is defined, in which case `hasmethod` can be spurious. │ │ Currently, we perform the check for `f(du, u)` and `f(u)` first, but in │ future breaking releases, this check will be performed last, which means │ that if `t` is provided `f(du, u, p, t)`/`f(u, p, t)` will be given │ precedence, similarly if `p` is provided `f(du, u, p)`/`f(u, p)` will be │ given precedence. │ caller = JacVec(f::Main.var"##Jac Vecs and Hes Vecs#234".WrapFunc{typeof(Main.var"##Jac Vecs and Hes Vecs#234"._f), Float64, Float64}, u::Vector{Float64}, p::Float64, t::Float64; fu::Nothing, autodiff::ADTypes.AutoFiniteDiff{Val{:forward}, Val{:forward}, Val{:hcentral}, Nothing, Nothing, Bool}, tag::SparseDiffTools.DeivVecTag, use_deprecated_ordering::Val{true}, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}) at jaches_products.jl:265 └ @ SparseDiffTools ~/.julia/packages/SparseDiffTools/rjbzw/src/differentiation/jaches_products.jl:265 ┌ Warning: `p` and/or `t` provided and are not `nothing`. But we │ potentially detected `f(du, u)` or `f(u)`. This can be caused by: │ │ 1. `f(du, u)` or `f(u)` is defined, in-which case `p` and/or `t` should not │ be supplied. │ 2. `f(args...)` is defined, in which case `hasmethod` can be spurious. │ │ Currently, we perform the check for `f(du, u)` and `f(u)` first, but in │ future breaking releases, this check will be performed last, which means │ that if `t` is provided `f(du, u, p, t)`/`f(u, p, t)` will be given │ precedence, similarly if `p` is provided `f(du, u, p)`/`f(u, p)` will be │ given precedence. │ caller = JacVec(f::Main.var"##Jac Vecs and Hes Vecs#234".WrapFunc{typeof(Main.var"##Jac Vecs and Hes Vecs#234"._f), Float64, Float64}, u::Vector{Float64}, p::Float64, t::Float64; fu::Nothing, autodiff::ADTypes.AutoForwardDiff{nothing, Nothing}, tag::Main.var"##Jac Vecs and Hes Vecs#234".MyTag, use_deprecated_ordering::Val{true}, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}) at jaches_products.jl:265 └ @ SparseDiffTools ~/.julia/packages/SparseDiffTools/rjbzw/src/differentiation/jaches_products.jl:265 ┌ Warning: `p` and/or `t` provided and are not `nothing`. But we │ potentially detected `f(du, u)` or `f(u)`. This can be caused by: │ │ 1. `f(du, u)` or `f(u)` is defined, in-which case `p` and/or `t` should not │ be supplied. │ 2. `f(args...)` is defined, in which case `hasmethod` can be spurious. │ │ Currently, we perform the check for `f(du, u)` and `f(u)` first, but in │ future breaking releases, this check will be performed last, which means │ that if `t` is provided `f(du, u, p, t)`/`f(u, p, t)` will be given │ precedence, similarly if `p` is provided `f(du, u, p)`/`f(u, p)` will be │ given precedence. │ caller = JacVec(f::Function, u::Vector{Float64}, p::Float64, t::Float64; fu::Nothing, autodiff::ADTypes.AutoForwardDiff{nothing, Nothing}, tag::SparseDiffTools.DeivVecTag, use_deprecated_ordering::Val{true}, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}) at jaches_products.jl:265 └ @ SparseDiffTools ~/.julia/packages/SparseDiffTools/rjbzw/src/differentiation/jaches_products.jl:265 [ Info: HesVec [ Info: HesVecGrad Test Summary: | Pass Total Time Jac Vecs and Hes Vecs | 90 90 2m55.2s 175.185520 seconds (31.81 M allocations: 9.703 GiB, 0.73% gc time, 47.36% compilation time) [ Info: VecJac AutoZygote Vec Jac Products: Error During Test at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 Got exception outside of a @test LoadError: ArgumentError: No keyword arguments provided. When `accepted_kwargs` is provided, the corresponding keyword arguments must be passed for cache initialization. Stacktrace: [1] SciMLOperators.FunctionOperator(op::SparseDiffTools.AutoDiffVJP{ADTypes.AutoZygote, SparseDiffTools.JacFunctionWrapper{true, true, 1, typeof(Main.var"##Vec Jac Products#235"._f2), Vector{Float32}, Float32, Float32}, Vector{Float32}, Tuple{}, Tuple{Vector{Float32}, Zygote.var"#78#79"{Zygote.Pullback{Tuple{SparseDiffTools.JacFunctionWrapper{true, true, 1, typeof(Main.var"##Vec Jac Products#235"._f2), Vector{Float32}, Float32, Float32}, Vector{Float32}}, Tuple{Zygote.var"#2180#back#307"{Zygote.var"#back#306"{:f, Zygote.Context{false}, SparseDiffTools.JacFunctionWrapper{true, true, 1, typeof(Main.var"##Vec Jac Products#235"._f2), Vector{Float32}, Float32, Float32}, typeof(Main.var"##Vec Jac Products#235"._f2)}}, Zygote.var"#2180#back#307"{Zygote.var"#back#306"{:t, Zygote.Context{false}, SparseDiffTools.JacFunctionWrapper{true, true, 1, typeof(Main.var"##Vec Jac Products#235"._f2), Vector{Float32}, Float32, Float32}, Float32}}, Zygote.var"#2180#back#307"{Zygote.var"#back#306"{:p, Zygote.Context{false}, SparseDiffTools.JacFunctionWrapper{true, true, 1, typeof(Main.var"##Vec Jac Products#235"._f2), Vector{Float32}, Float32, Float32}, Float32}}, Zygote.Pullback{Tuple{typeof(Main.var"##Vec Jac Products#235"._f2), Vector{Float32}, Float32, Float32}, Tuple{Zygote.Pullback{Tuple{typeof(Main.var"##Vec Jac Products#235"._f), Vector{Float32}}, Tuple{Zygote.var"#3916#back#1262"{Zygote.var"#1258#1261"{2, Vector{Float32}}}, Zygote.Pullback{Tuple{typeof(Base.Broadcast.materialize), Vector{Float32}}, Tuple{}}, Zygote.var"#1986#back#198"{Zygote.var"#194#197"{Zygote.Context{false}, GlobalRef, Matrix{Float32}}}, Zygote.ZBack{ChainRules.var"#times_pullback#554"{Matrix{Float32}, Vector{Float32}}}, Zygote.var"#1922#back#165"{Zygote.var"#161#164"}}}, Zygote.Pullback{Tuple{typeof(*), Vector{Float32}, Float32, Float32}, Tuple{Zygote.ZBack{ChainRules.var"#times_pullback#578"{Vector{Float32}, Float32, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}}}}, ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}}}, Zygote.var"#2013#back#208"{typeof(identity)}, Zygote.var"#2169#back#297"{Zygote.var"#295#296"{Tuple{Tuple{Nothing, Nothing}, Tuple{}}, Zygote.Pullback{Tuple{typeof(Base.afoldl), typeof(*), Vector{Float32}}, Tuple{}}}}, Zygote.ZBack{ChainRules.var"#times_pullback#578"{Vector{Float32}, Float32, ChainRulesCore.ProjectTo{AbstractArray, @NamedTuple{element::ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}, axes::Tuple{Base.OneTo{Int64}}}}, ChainRulesCore.ProjectTo{Float32, @NamedTuple{}}}}}}}}}}}}}, input::Vector{Float32}, output::Vector{Float32}; op_adjoint::Nothing, op_inverse::Nothing, op_adjoint_inverse::Nothing, p::Float32, t::Float32, accepted_kwargs::Tuple{Symbol}, T::Nothing, isinplace::Val{true}, outofplace::Val{true}, has_mul5::Nothing, isconstant::Bool, islinear::Bool, isconvertible::Bool, batch::Bool, ifcache::Val{true}, cache::Nothing, opnorm::Nothing, issymmetric::Val{false}, ishermitian::Val{false}, isposdef::Bool, kwargs::@Kwargs{}) @ SciMLOperators ~/.julia/packages/SciMLOperators/KVzmP/src/func.jl:325 [2] VecJac(f::Function, u::Vector{Float32}, p::Float32, t::Float32; fu::Nothing, autodiff::ADTypes.AutoZygote, use_deprecated_ordering::Val{true}, kwargs::@Kwargs{}) @ SparseDiffTools ~/.julia/packages/SparseDiffTools/rjbzw/src/differentiation/vecjac_products.jl:107 [3] top-level scope @ ~/.julia/packages/SparseDiffTools/rjbzw/test/test_vecjac_products.jl:44 [4] include(mod::Module, _path::String) @ Base ./Base.jl:495 [5] include(x::String) @ Main.var"##Vec Jac Products#235" ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [6] macro expansion @ ~/.julia/packages/SparseDiffTools/rjbzw/test/runtests.jl:49 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined] [8] macro expansion @ ~/.julia/packages/SparseDiffTools/rjbzw/test/runtests.jl:49 [inlined] [9] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 [10] eval(m::Module, e::Any) @ Core ./boot.jl:385 [11] macro expansion @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] [12] macro expansion @ ./timing.jl:279 [inlined] [13] top-level scope @ ~/.julia/packages/SparseDiffTools/rjbzw/test/runtests.jl:48 [14] include(fname::String) @ Base.MainInclude ./client.jl:494 [15] top-level scope @ none:6 [16] eval @ ./boot.jl:385 [inlined] [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [18] _start() @ Base ./client.jl:557 in expression starting at /home/pkgeval/.julia/packages/SparseDiffTools/rjbzw/test/test_vecjac_products.jl:44 Test Summary: | Pass Error Total Time Vec Jac Products | 4 1 5 22.6s ERROR: LoadError: Some tests did not pass: 4 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/SparseDiffTools/rjbzw/test/runtests.jl:44 Testing failed after 1596.34s ERROR: LoadError: Package SparseDiffTools errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Types.jl:70 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:2034 [3] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1915 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::Base.PipeEndpoint}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:444 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::Base.PipeEndpoint, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1702.88s: package tests unexpectedly errored