Package evaluation to test Manopt on Julia 1.14.0-DEV.1613 (8dab3f0623*) started at 2026-01-25T15:00:15.837 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 9.73s ################################################################################ # Installation # Installing Manopt... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [0fc0a36d] + Manopt v0.5.32 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [35d6a980] + ColorSchemes v3.31.0 [3da002f7] + ColorTypes v0.12.1 [c3611d14] + ColorVectorSpace v0.11.0 [5ae59095] + Colors v0.13.1 [864edb3b] + DataStructures v0.19.3 [a0c0ee7d] + DifferentiationInterface v0.7.14 [53c48c17] + FixedPointNumbers v0.8.5 [8f48dd54] + Glossaries v0.1.1 [af67fdf4] + ManifoldDiff v0.4.5 [3362f125] + ManifoldsBase v2.3.0 [0fc0a36d] + Manopt v0.5.32 [bac558e1] + OrderedCollections v1.8.1 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [10745b16] + Statistics v1.11.1 [62fd8b95] + TensorCore v0.1.1 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.30+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 4.4s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 6749.6 ms ✓ Setfield 3353.4 ms ✓ Kronecker 3820.8 ms ✓ SymbolicIndexingInterface 2006.4 ms ✓ Accessors → StaticArraysExt 18110.1 ms ✓ Manopt 10973.2 ms ✓ Graphs 5863.2 ms ✓ RipQP 6660.6 ms ✓ Latexify 2425.3 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 1790.2 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 84115.8 ms ✓ MathOptInterface 8832.5 ms ✓ RecursiveArrayTools 3797.0 ms ✓ Manopt → ManoptLineSearchesExt 4198.3 ms ✓ Manopt → ManoptLRUCacheExt 3937.6 ms ✓ SimpleWeightedGraphs 4526.2 ms ✓ Manopt → ManoptRipQPQuadraticModelsExt 2601.4 ms ✓ Latexify → SparseArraysExt 68911.5 ms ✓ JuMP 2028.9 ms ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt 1498.2 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStatisticsExt 2021.2 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 2648.3 ms ✓ ManifoldsBase → ManifoldsBaseRecursiveArrayToolsExt 5108.4 ms ✓ Manopt → ManoptRecursiveArrayToolsExt 16919.3 ms ✓ Manifolds 17595.9 ms ✓ ManifoldsBase → ManifoldsBasePlotsExt 14524.1 ms ✓ Manopt → ManoptJuMPExt 5780.2 ms ✓ Manifolds → ManifoldsRecipesBaseExt 8847.3 ms ✓ Manifolds → ManifoldsTestExt 5253.5 ms ✓ Manifolds → ManifoldsRecursiveArrayToolsExt 6609.2 ms ✓ Manopt → ManoptManifoldsExt 30 dependencies successfully precompiled in 334 seconds. 269 already precompiled. Precompilation completed after 353.33s ################################################################################ # Testing # Testing Manopt Status `/tmp/jl_PAF5A9/Project.toml` [4c88cf16] Aqua v0.8.14 [f6369f11] ForwardDiff v1.3.1 [4076af6c] JuMP v1.29.4 [8ac3fa9e] LRUCache v1.6.2 [d3d80556] LineSearches v7.6.0 [af67fdf4] ManifoldDiff v0.4.5 [1cead3c2] Manifolds v0.11.11 [3362f125] ManifoldsBase v2.3.0 [0fc0a36d] Manopt v0.5.32 `~/.julia/packages/Manopt/ScKbU` [91a5bcdd] Plots v1.41.4 [f468eda6] QuadraticModels v0.9.14 [731186ca] RecursiveArrayTools v3.45.1 [1e40b3f8] RipQP v0.7.0 [ade2ca70] Dates v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_PAF5A9/Manifest.toml` [47edcb42] ADTypes v1.21.0 [14f7f29c] AMD v0.5.3 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.22.0 [6e4b80f9] BenchmarkTools v1.6.3 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have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ┌ Warning: The call to compilecache failed to create a usable precompiled cache file for RipQP [1e40b3f8-35eb-4cd8-8edd-3e515bb9de08] │ exception = Required dependency Base.PkgId(Base.UUID("8bb1440f-4735-579b-a4ab-409b98df4dab"), "DelimitedFiles") failed to load from a cache file. └ @ Base loading.jl:2939 ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("1e40b3f8-35eb-4cd8-8edd-3e515bb9de08"), "RipQP") not available with flags CacheFlags(; use_pkgimages=false, debug_level=1, check_bounds=0, inline=true, opt_level=0) Stacktrace:  [1] error(s::String)  @ Base ./error.jl:44  [2] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2863  [3] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2715  [4] macro expansion  @ ./loading.jl:2642 [inlined]  [5] macro expansion  @ ./lock.jl:376 [inlined]  [6] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2606  [7] require  @ ./loading.jl:2582 [inlined]  [8] eval_import_path  @ ./module.jl:36 [inlined]  [9] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [10] _eval_import(::Bool, ::Module, ::Expr, ::Expr, ::Vararg{Expr})  @ Base ./module.jl:101  [11] top-level scope  @ ~/.julia/packages/Manopt/ScKbU/ext/ManoptRipQPQuadraticModelsExt.jl:14  [12] include(mod::Module, _path::String)  @ Base ./Base.jl:309  [13] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3308  [14] top-level scope  @ stdin:5  [15] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [16] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3150  [17] include_string  @ ./loading.jl:3160 [inlined]  [18] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:342  [19] _start()  @ Base ./client.jl:585 in expression starting at /home/pkgeval/.julia/packages/Manopt/ScKbU/ext/ManoptRipQPQuadraticModelsExt.jl:1 in expression starting at stdin:5 1 dependency had output during precompilation: ┌ Manopt → ManoptRipQPQuadraticModelsExt │ [Output was shown above] └ ┌ Error: Error during loading of extension ManoptRipQPQuadraticModelsExt of Manopt, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ The following 1 package failed to precompile: │ │ Manopt → ManoptRipQPQuadraticModelsExt │ Failed to precompile ManoptRipQPQuadraticModelsExt [c29795dd-66bb-5ac1-ad79-9c1c280cee34] to "/home/pkgeval/.julia/compiled/v1.14/ManoptRipQPQuadraticModelsExt/jl_VyZ1Zg" (ProcessExited(1)). │ └ @ Base loading.jl:1774 Allocating Subgradient: Error During Test at /home/pkgeval/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:61 Got exception outside of a @test MethodError: no method matching convex_bundle_method_subsolver(::Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ::Vector{Float64}, ::Vector{Float64}, ::Vector{Vector{Float64}}) The function `convex_bundle_method_subsolver` exists, but no method is defined for this combination of argument types. The `convex_bundle_method_subsolver` has to be implemented. A default is available currently when loading QuadraticModels.jl and RipQP.jl. That is `using QuadraticModels, RipQP` Stacktrace: [1] _convex_bundle_subsolver!(M::Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, bms::ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, var"#349#350"{Float64}, Int64, LogarithmicInverseRetraction, ExponentialRetraction, DomainBackTrackingStepsize{ExponentialRetraction, Vector{Float64}, Float64}, StopAfterIteration, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:800 [2] step_solver!(mp::DefaultManoptProblem{Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#f#f##37", var"#∂f#∂f##2"}}, bms::ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, var"#349#350"{Float64}, Int64, LogarithmicInverseRetraction, ExponentialRetraction, DomainBackTrackingStepsize{ExponentialRetraction, Vector{Float64}, Float64}, StopAfterIteration, ParallelTransport}, k::Int64) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:720 [3] solve!(p::DefaultManoptProblem{Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#f#f##37", var"#∂f#∂f##2"}}, s::ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, var"#349#350"{Float64}, Int64, LogarithmicInverseRetraction, ExponentialRetraction, DomainBackTrackingStepsize{ExponentialRetraction, Vector{Float64}, Float64}, StopAfterIteration, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/solver.jl:162 [4] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:7 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:62 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [8] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:78 [inlined] [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:4 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [12] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:44 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:48 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ none:6 [17] eval(m::Module, e::Any) @ Core ./boot.jl:489 [18] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [19] _start() @ Base ./client.jl:585 Mutating Subgradient: Error During Test at /home/pkgeval/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:148 Got exception outside of a @test MethodError: no method matching convex_bundle_method_subsolver(::Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ::Vector{Float64}, ::Vector{Float64}, ::Vector{Vector{Float64}}) The function `convex_bundle_method_subsolver` exists, but no method is defined for this combination of argument types. The `convex_bundle_method_subsolver` has to be implemented. A default is available currently when loading QuadraticModels.jl and RipQP.jl. That is `using QuadraticModels, RipQP` Stacktrace: [1] _convex_bundle_subsolver!(M::Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, bms::ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, var"#349#350"{Float64}, Int64, LogarithmicInverseRetraction, ExponentialRetraction, DomainBackTrackingStepsize{ExponentialRetraction, Vector{Float64}, Float64}, StopAfterIteration, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:800 [2] step_solver!(mp::DefaultManoptProblem{Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ManifoldSubgradientObjective{InplaceEvaluation, var"#357#358", var"#∂f!#∂f!##0"}}, bms::ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, var"#349#350"{Float64}, Int64, LogarithmicInverseRetraction, ExponentialRetraction, DomainBackTrackingStepsize{ExponentialRetraction, Vector{Float64}, Float64}, StopAfterIteration, ParallelTransport}, k::Int64) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:720 [3] solve!(p::DefaultManoptProblem{Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ManifoldSubgradientObjective{InplaceEvaluation, var"#357#358", var"#∂f!#∂f!##0"}}, s::ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, var"#349#350"{Float64}, Int64, LogarithmicInverseRetraction, ExponentialRetraction, DomainBackTrackingStepsize{ExponentialRetraction, Vector{Float64}, Float64}, StopAfterIteration, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/solver.jl:162 [4] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:7 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:149 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [8] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:166 [inlined] [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:4 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [12] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:44 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:48 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ none:6 [17] eval(m::Module, e::Any) @ Core ./boot.jl:489 [18] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [19] _start() @ Base ./client.jl:585 A simple median run: Error During Test at /home/pkgeval/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:191 Got exception outside of a @test MethodError: no method matching convex_bundle_method_subsolver(::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, ::Vector{Float64}, ::Vector{Float64}, ::Vector{Vector{Float64}}) The function `convex_bundle_method_subsolver` exists, but no method is defined for this combination of argument types. The `convex_bundle_method_subsolver` has to be implemented. A default is available currently when loading QuadraticModels.jl and RipQP.jl. That is `using QuadraticModels, RipQP` Stacktrace: [1] _convex_bundle_subsolver!(M::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, bms::ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, Manopt.var"#convex_bundle_method!##2#convex_bundle_method!##3"{var"#361#362"{Vector{Vector{Float64}}}}, Int64, LogarithmicInverseRetraction, StabilizedRetraction{ExponentialRetraction}, DomainBackTrackingStepsize{StabilizedRetraction{ExponentialRetraction}, Vector{Float64}, Float64}, StopWhenAny{Tuple{StopWhenLagrangeMultiplierLess{Float64, Vector{Float64}, Vector{String}}, StopAfterIteration}}, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:800 [2] step_solver!(mp::DefaultManoptProblem{Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#361#362"{Vector{Vector{Float64}}}, var"#363#364"{Vector{Vector{Float64}}}}}, bms::ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, Manopt.var"#convex_bundle_method!##2#convex_bundle_method!##3"{var"#361#362"{Vector{Vector{Float64}}}}, Int64, LogarithmicInverseRetraction, StabilizedRetraction{ExponentialRetraction}, DomainBackTrackingStepsize{StabilizedRetraction{ExponentialRetraction}, Vector{Float64}, Float64}, StopWhenAny{Tuple{StopWhenLagrangeMultiplierLess{Float64, Vector{Float64}, Vector{String}}, StopAfterIteration}}, ParallelTransport}, k::Int64) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:720 [3] step_solver!(amp::DefaultManoptProblem{Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#361#362"{Vector{Vector{Float64}}}, var"#363#364"{Vector{Vector{Float64}}}}}, dss::DebugSolverState{ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, Manopt.var"#convex_bundle_method!##2#convex_bundle_method!##3"{var"#361#362"{Vector{Vector{Float64}}}}, Int64, LogarithmicInverseRetraction, StabilizedRetraction{ExponentialRetraction}, DomainBackTrackingStepsize{StabilizedRetraction{ExponentialRetraction}, Vector{Float64}, Float64}, StopWhenAny{Tuple{StopWhenLagrangeMultiplierLess{Float64, Vector{Float64}, Vector{String}}, StopAfterIteration}}, ParallelTransport}}, k::Int64) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/debug_solver.jl:30 [4] step_solver!(p::DefaultManoptProblem{Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#361#362"{Vector{Vector{Float64}}}, var"#363#364"{Vector{Vector{Float64}}}}}, s::Manopt.ReturnSolverState{DebugSolverState{ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, Manopt.var"#convex_bundle_method!##2#convex_bundle_method!##3"{var"#361#362"{Vector{Vector{Float64}}}}, Int64, LogarithmicInverseRetraction, StabilizedRetraction{ExponentialRetraction}, DomainBackTrackingStepsize{StabilizedRetraction{ExponentialRetraction}, Vector{Float64}, Float64}, StopWhenAny{Tuple{StopWhenLagrangeMultiplierLess{Float64, Vector{Float64}, Vector{String}}, StopAfterIteration}}, ParallelTransport}}}, k::Int64) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/solver.jl:175 [5] solve!(p::DefaultManoptProblem{Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#361#362"{Vector{Vector{Float64}}}, var"#363#364"{Vector{Vector{Float64}}}}}, s::Manopt.ReturnSolverState{DebugSolverState{ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, Manopt.var"#convex_bundle_method!##2#convex_bundle_method!##3"{var"#361#362"{Vector{Vector{Float64}}}}, Int64, LogarithmicInverseRetraction, StabilizedRetraction{ExponentialRetraction}, DomainBackTrackingStepsize{StabilizedRetraction{ExponentialRetraction}, Vector{Float64}, Float64}, StopWhenAny{Tuple{StopWhenLagrangeMultiplierLess{Float64, Vector{Float64}, Vector{String}}, StopAfterIteration}}, ParallelTransport}}}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/solver.jl:162 [6] convex_bundle_method!(M::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, f::var"#361#362"{Vector{Vector{Float64}}}, ∂f!!::var"#363#364"{Vector{Vector{Float64}}}, p::Vector{Float64}; atol_λ::Float64, atol_errors::Float64, bundle_cap::Int64, contraction_factor::Float64, diameter::Float64, domain::Function, m::Float64, k_max::Float64, k_min::Float64, p_estimate::Vector{Float64}, stepsize::Manopt.ManifoldDefaultsFactory{DomainBackTrackingStepsize, Nothing, Tuple{}, @Kwargs{contraction_factor::Float64}}, debug::Vector{DebugWarnIfLagrangeMultiplierIncreases}, evaluation::AllocatingEvaluation, inverse_retraction_method::LogarithmicInverseRetraction, retraction_method::StabilizedRetraction{ExponentialRetraction}, stopping_criterion::StopWhenAny{Tuple{StopWhenLagrangeMultiplierLess{Float64, Vector{Float64}, Vector{String}}, StopAfterIteration}}, vector_transport_method::ParallelTransport, sub_problem::typeof(convex_bundle_method_subsolver), sub_state::AllocatingEvaluation, ϱ::Nothing, kwargs::@Kwargs{return_state::Bool}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:686 [7] kwcall(::@NamedTuple{k_max::Float64, k_min::Float64, return_state::Bool}, ::typeof(convex_bundle_method!), M::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, f::var"#361#362"{Vector{Vector{Float64}}}, ∂f!!::var"#363#364"{Vector{Vector{Float64}}}, p::Vector{Float64}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:628 [8] #convex_bundle_method#747 @ ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:623 [inlined] [9] kwcall(::@NamedTuple{k_max::Float64, k_min::Float64, return_state::Bool}, ::typeof(convex_bundle_method), M::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, f::var"#361#362"{Vector{Vector{Float64}}}, ∂f::var"#363#364"{Vector{Vector{Float64}}}, p::Vector{Float64}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:618 [10] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:7 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [12] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:192 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:205 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:4 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [18] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:44 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [20] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:48 [inlined] [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [22] top-level scope @ none:6 [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [25] _start() @ Base ./client.jl:585 Bundle Cap Condition: Error During Test at /home/pkgeval/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:284 Got exception outside of a @test MethodError: no method matching convex_bundle_method_subsolver(::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, ::Vector{Float64}, ::Vector{Float64}, ::Vector{Vector{Float64}}) The function `convex_bundle_method_subsolver` exists, but no method is defined for this combination of argument types. The `convex_bundle_method_subsolver` has to be implemented. A default is available currently when loading QuadraticModels.jl and RipQP.jl. That is `using QuadraticModels, RipQP` Stacktrace: [1] _convex_bundle_subsolver!(M::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, bms::ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, var"#373#374"{Float64}, Int64, LogarithmicInverseRetraction, StabilizedRetraction{ExponentialRetraction}, DomainBackTrackingStepsize{StabilizedRetraction{ExponentialRetraction}, Vector{Float64}, Float64}, StopAfterIteration, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:800 [2] step_solver!(mp::DefaultManoptProblem{Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#369#370", var"#371#372"}}, bms::ConvexBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(convex_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, Vector{Float64}, Vector{Tuple{Vector{Float64}, Vector{Float64}}}, Vector{Vector{Float64}}, var"#373#374"{Float64}, Int64, LogarithmicInverseRetraction, StabilizedRetraction{ExponentialRetraction}, DomainBackTrackingStepsize{StabilizedRetraction{ExponentialRetraction}, Vector{Float64}, Float64}, StopAfterIteration, ParallelTransport}, k::Int64) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/convex_bundle_method.jl:720 [3] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:7 [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [5] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:285 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [7] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_convex_bundle_method.jl:321 [inlined] [8] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [9] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:4 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:44 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [13] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:48 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [18] _start() @ Base ./client.jl:585 Allocating Subgradient: Error During Test at /home/pkgeval/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:34 Got exception outside of a @test MethodError: no method matching proximal_bundle_method_subsolver(::Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ::Vector{Float64}, ::Float64, ::Vector{Float64}, ::Vector{Vector{Float64}}) The function `proximal_bundle_method_subsolver` exists, but no method is defined for this combination of argument types. The `proximal_bundle_method_subsolver` has to be implemented. A default is available currently when loading QuadraticModels.jl and RipQP.jl. That is `using QuadraticModels, RipQP` Stacktrace: [1] _proximal_bundle_subsolver!(M::Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, pbms::ProximalBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(proximal_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, LogarithmicInverseRetraction, ExponentialRetraction, StopAfterIteration, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:434 [2] step_solver!(mp::DefaultManoptProblem{Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#f#f##52", var"#∂f#∂f##3"}}, pbms::ProximalBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(proximal_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, LogarithmicInverseRetraction, ExponentialRetraction, StopAfterIteration, ParallelTransport}, k::Int64) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:346 [3] solve!(p::DefaultManoptProblem{Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#f#f##52", var"#∂f#∂f##3"}}, s::ProximalBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(proximal_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, LogarithmicInverseRetraction, ExponentialRetraction, StopAfterIteration, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/solver.jl:162 [4] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:5 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:35 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [8] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:42 [inlined] [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:4 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [12] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:44 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:63 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ none:6 [17] eval(m::Module, e::Any) @ Core ./boot.jl:489 [18] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [19] _start() @ Base ./client.jl:585 Mutating Subgradient: Error During Test at /home/pkgeval/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:75 Got exception outside of a @test MethodError: no method matching proximal_bundle_method_subsolver(::Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ::Vector{Float64}, ::Float64, ::Vector{Float64}, ::Vector{Vector{Float64}}) The function `proximal_bundle_method_subsolver` exists, but no method is defined for this combination of argument types. The `proximal_bundle_method_subsolver` has to be implemented. A default is available currently when loading QuadraticModels.jl and RipQP.jl. That is `using QuadraticModels, RipQP` Stacktrace: [1] _proximal_bundle_subsolver!(M::Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, pbms::ProximalBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(proximal_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, LogarithmicInverseRetraction, ExponentialRetraction, StopAfterIteration, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:434 [2] step_solver!(mp::DefaultManoptProblem{Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ManifoldSubgradientObjective{InplaceEvaluation, var"#579#580", var"#∂f!#∂f!##1"}}, pbms::ProximalBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(proximal_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, LogarithmicInverseRetraction, ExponentialRetraction, StopAfterIteration, ParallelTransport}, k::Int64) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:346 [3] solve!(p::DefaultManoptProblem{Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ManifoldSubgradientObjective{InplaceEvaluation, var"#579#580", var"#∂f!#∂f!##1"}}, s::ProximalBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(proximal_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, LogarithmicInverseRetraction, ExponentialRetraction, StopAfterIteration, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/solver.jl:162 [4] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:5 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:76 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [8] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:93 [inlined] [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:4 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [12] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:44 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:63 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ none:6 [17] eval(m::Module, e::Any) @ Core ./boot.jl:489 [18] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [19] _start() @ Base ./client.jl:585 A simple median run: Error During Test at /home/pkgeval/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:114 Got exception outside of a @test MethodError: no method matching proximal_bundle_method_subsolver(::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, ::Vector{Float64}, ::Float64, ::Vector{Float64}, ::Vector{Vector{Float64}}) The function `proximal_bundle_method_subsolver` exists, but no method is defined for this combination of argument types. The `proximal_bundle_method_subsolver` has to be implemented. A default is available currently when loading QuadraticModels.jl and RipQP.jl. That is `using QuadraticModels, RipQP` Stacktrace: [1] _proximal_bundle_subsolver!(M::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, pbms::ProximalBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(proximal_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, LogarithmicInverseRetraction, StabilizedRetraction{ExponentialRetraction}, StopWhenAny{Tuple{StopWhenLagrangeMultiplierLess{Float64, Vector{Float64}, Vector{String}}, StopAfterIteration}}, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:434 [2] step_solver!(mp::DefaultManoptProblem{Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#581#582"{Vector{Vector{Float64}}}, var"#583#584"{Vector{Vector{Float64}}}}}, pbms::ProximalBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(proximal_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, LogarithmicInverseRetraction, StabilizedRetraction{ExponentialRetraction}, StopWhenAny{Tuple{StopWhenLagrangeMultiplierLess{Float64, Vector{Float64}, Vector{String}}, StopAfterIteration}}, ParallelTransport}, k::Int64) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:346 [3] step_solver!(p::DefaultManoptProblem{Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#581#582"{Vector{Vector{Float64}}}, var"#583#584"{Vector{Vector{Float64}}}}}, s::Manopt.ReturnSolverState{ProximalBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(proximal_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, LogarithmicInverseRetraction, StabilizedRetraction{ExponentialRetraction}, StopWhenAny{Tuple{StopWhenLagrangeMultiplierLess{Float64, Vector{Float64}, Vector{String}}, StopAfterIteration}}, ParallelTransport}}, k::Int64) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/solver.jl:175 [4] solve! @ ~/.julia/packages/Manopt/ScKbU/src/solvers/solver.jl:162 [inlined] [5] proximal_bundle_method!(M::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, f::var"#581#582"{Vector{Vector{Float64}}}, ∂f!!::var"#583#584"{Vector{Vector{Float64}}}, p::Vector{Float64}; m::Float64, evaluation::AllocatingEvaluation, inverse_retraction_method::LogarithmicInverseRetraction, retraction_method::StabilizedRetraction{ExponentialRetraction}, bundle_size::Int64, stopping_criterion::StopWhenAny{Tuple{StopWhenLagrangeMultiplierLess{Float64, Vector{Float64}, Vector{String}}, StopAfterIteration}}, vector_transport_method::ParallelTransport, α₀::Float64, ε::Float64, δ::Float64, μ::Float64, sub_problem::typeof(proximal_bundle_method_subsolver), sub_state::AllocatingEvaluation, kwargs::@Kwargs{return_state::Bool}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:309 [6] kwcall(::@NamedTuple{return_state::Bool}, ::typeof(proximal_bundle_method!), M::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, f::var"#581#582"{Vector{Vector{Float64}}}, ∂f!!::var"#583#584"{Vector{Vector{Float64}}}, p::Vector{Float64}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:265 [7] #proximal_bundle_method#974 @ ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:260 [inlined] [8] kwcall(::@NamedTuple{return_state::Bool}, ::typeof(proximal_bundle_method), M::Sphere{ℝ, ManifoldsBase.TypeParameter{Tuple{2}}}, f::var"#581#582"{Vector{Vector{Float64}}}, ∂f::var"#583#584"{Vector{Vector{Float64}}}, p::Vector{Float64}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:255 [9] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:5 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:115 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [13] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:128 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:4 [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:44 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [19] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:63 [inlined] [20] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [21] top-level scope @ none:6 [22] eval(m::Module, e::Any) @ Core ./boot.jl:489 [23] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [24] _start() @ Base ./client.jl:585 Trigger the case where the bundle is not transported: Error During Test at /home/pkgeval/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:168 Got exception outside of a @test MethodError: no method matching proximal_bundle_method_subsolver(::Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ::Vector{Float64}, ::Float64, ::Vector{Float64}, ::Vector{Vector{Float64}}) The function `proximal_bundle_method_subsolver` exists, but no method is defined for this combination of argument types. The `proximal_bundle_method_subsolver` has to be implemented. A default is available currently when loading QuadraticModels.jl and RipQP.jl. That is `using QuadraticModels, RipQP` Stacktrace: [1] _proximal_bundle_subsolver!(M::Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, pbms::ProximalBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(proximal_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, LogarithmicInverseRetraction, ExponentialRetraction, StopAfterIteration, ParallelTransport}) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:434 [2] step_solver!(mp::DefaultManoptProblem{Hyperbolic{ManifoldsBase.TypeParameter{Tuple{4}}}, ManifoldSubgradientObjective{AllocatingEvaluation, var"#587#588", var"#589#590"}}, pbms::ProximalBundleMethodState{Vector{Float64}, Vector{Float64}, typeof(proximal_bundle_method_subsolver), Manopt.ClosedFormSubSolverState{AllocatingEvaluation}, Float64, LogarithmicInverseRetraction, ExponentialRetraction, StopAfterIteration, ParallelTransport}, k::Int64) @ Manopt ~/.julia/packages/Manopt/ScKbU/src/solvers/proximal_bundle_method.jl:346 [3] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:5 [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [5] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:169 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [7] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/solvers/test_proximal_bundle_method.jl:177 [inlined] [8] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [9] top-level scope @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:4 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:44 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [13] macro expansion @ ~/.julia/packages/Manopt/ScKbU/test/runtests.jl:63 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [18] _start() @ Base ./client.jl:585 Persistent tasks: Test Failed at /home/pkgeval/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:38 Expression: !(has_persistent_tasks(package; kwargs...)) Evaluated: !(has_persistent_tasks(Base.PkgId(Base.UUID("0fc0a36d-df90-57f3-8f93-d78a9fc72bb5"), "Manopt"))) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:782 [inlined] [2] test_persistent_tasks(package::Base.PkgId; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:38 [3] test_persistent_tasks @ ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:34 [inlined] [4] #test_persistent_tasks#57 @ ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:43 [inlined] [5] test_persistent_tasks @ ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:42 [inlined] [6] macro expansion @ ~/.julia/packages/Aqua/MCcFg/src/Aqua.jl:109 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [8] test_all(testtarget::Module; ambiguities::@NamedTuple{broken::Bool}, unbound_args::Bool, undefined_exports::Bool, project_extras::Bool, stale_deps::Bool, deps_compat::Bool, piracies::Bool, persistent_tasks::Bool, undocumented_names::Bool) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/Aqua.jl:109 Test Summary: | Pass Fail Error Total Time Manopt.jl | 4013 1 8 4022 30m08.5s Plan Tests | 3115 3115 5m34.1s Helper Tests | 46 46 3m41.9s Solver Tests | 683 8 691 12m47.8s Adaptive Regularization with Cubics | 35 35 51.6s Alternating Gradient Descent | 35 35 5.3s Riemannian Augmented Lagrangian Method | 11 11 28.2s CMA-ES | 40 40 1m07.7s Convex Bundle Method Tests | 24 4 28 11.6s Curvature Bound Functions | 4 4 0.0s Estimate Sectional Curvature | 3 3 0.9s Close Point Function | 1 1 0.0s Special Stopping Criteria | 2 2 0.1s Allocating Subgradient | 1 1 2 4.5s Mutating Subgradient | 1 1 2 0.4s A simple median run | 1 1 3.3s Null Step Backtracking Stepsize Loop | 11 11 1.0s Bundle Cap Condition | 1 1 0.6s Chambolle-Pock | 6 6 6.3s Conjugate Gradient Descent | 35 35 26.3s Difference of Convex | 48 48 1m10.1s DouglasRachford | 13 13 20.3s Conjugate Residual | 3 3 2.3s Cyclic Proximal Point | 15 15 15.1s Test REPM with a nonneg. PCA | 11 11 21.3s Frank Wolfe Method | 12 12 9.3s Gradient Descent | 25 25 20.0s Interior Point Newton Solver | 6 6 32.2s LevenbergMarquardt | 22 22 26.0s Mesh Adaptive Direct Search | 6 6 15.1s Test Nelder-Mead | 18 18 17.2s Test the projected gradient method | 7 7 5.7s The Proximal Bundle Method | 10 4 14 5.7s Special Stopping Criteria | 7 7 0.4s Allocating Subgradient | 1 1 2 2.2s Mutating Subgradient | 1 1 2 0.3s A simple median run | 1 1 2.4s Trigger the case where the bundle is not transported | 1 1 0.1s The Proximal Gradient Method | 47 47 12.4s Proximal Point | 6 6 3.9s Riemannian quasi-Newton Methods | 83 83 1m25.4s Particle Swarm | 25 25 9.5s PD-RSSN | 7 7 13.4s Stochastic Gradient Descent | 32 32 13.5s Subgradient Plan | 37 37 7.2s Truncated Conjugate Gradient Descent | 12 12 0.3s Riemannian Trust-Region | 40 40 1m35.1s Vectorbundle Newton | 12 12 4.3s JuMP tests | 118 118 59.2s MOI tests | 41 41 22.6s Aqua.jl | 10 1 11 3m06.0s Method ambiguity | 1 1 8.1s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.2s Stale dependencies | 1 1 5.2s Compat bounds | 4 4 0.5s Piracy | 1 1 1m55.3s Persistent tasks | 1 1 42.1s test deprecated definitions still work | 0 0.0s RNG of the outermost testset: Xoshiro(0x7f69c274459ceadc, 0x8152bf5e2ac82a77, 0x48ac9f50a36491a0, 0x32ff32b5d8efb5b4, 0xd3bb801ae57a3a4d) ERROR: LoadError: Some tests did not pass: 4013 passed, 1 failed, 8 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/Manopt/ScKbU/test/runtests.jl:3 Testing failed after 1865.92s ERROR: LoadError: Package Manopt errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{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/v1.14/Pkg/src/Operations.jl:3122 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2987 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{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::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:572 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:548 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:237 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:228 PkgEval failed after 2279.27s: package fails to precompile